Clinton e-mail scandal, the origin and implications

For the entire transcript of this interview, please continue reading.

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brad johnson thank you so much for

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brad johnson thank you so much for

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brad johnson thank you so much for
joining us again we have some topics

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joining us again we have some topics

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joining us again we have some topics
that we weren’t able to get to last time

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that we weren’t able to get to last time

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that we weren’t able to get to last time
so thanks for getting back to us so

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so thanks for getting back to us so

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so thanks for getting back to us so
quickly to try to cover them especially

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quickly to try to cover them especially

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quickly to try to cover them especially
as more and more events are happening

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as more and more events are happening

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as more and more events are happening
that look like new ground in the United

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that look like new ground in the United

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that look like new ground in the United
States for sure I don’t remember ever

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States for sure I don’t remember ever

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States for sure I don’t remember ever
seeing restaurant owners not just harass

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seeing restaurant owners not just harass

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seeing restaurant owners not just harass
clients out of their business but then

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clients out of their business but then

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clients out of their business but then
follow them into other businesses and

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follow them into other businesses and

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follow them into other businesses and
harassed them there and one of them I

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harassed them there and one of them I

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harassed them there and one of them I
think was even on the Chamber of

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think was even on the Chamber of

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think was even on the Chamber of
Commerce of that area no longer though

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Commerce of that area no longer though

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Commerce of that area no longer though
they’ve been have to resign but I mean

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they’ve been have to resign but I mean

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they’ve been have to resign but I mean
there are things happening which

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there are things happening which

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there are things happening which
indicate new levels of division and

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indicate new levels of division and

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indicate new levels of division and
enmity for things which were simply

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enmity for things which were simply

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enmity for things which were simply
understood as minor political

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understood as minor political

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understood as minor political
differences before so I’m wondering if

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differences before so I’m wondering if

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differences before so I’m wondering if
you if you have some insight on that if

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you if you have some insight on that if

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you if you have some insight on that if
if there’s some underlying policy is

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if there’s some underlying policy is

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if there’s some underlying policy is
this some kind of you know does this

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this some kind of you know does this

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this some kind of you know does this
percolate up from a Frankfurt School

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percolate up from a Frankfurt School

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percolate up from a Frankfurt School
philosophy that’s leading to these kinds

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philosophy that’s leading to these kinds

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philosophy that’s leading to these kinds
of these kinds of Street actions or what

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of these kinds of Street actions or what

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of these kinds of Street actions or what
are we looking at here uh yeah my

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are we looking at here uh yeah my

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are we looking at here uh yeah my
opinion on this I think you’re kind of

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opinion on this I think you’re kind of

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opinion on this I think you’re kind of
looking at all those things across the

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looking at all those things across the

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looking at all those things across the
board if you just look at any movement

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board if you just look at any movement

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board if you just look at any movement
of significance

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of significance

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of significance
I mean even take the terrorist extremist

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I mean even take the terrorist extremist

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I mean even take the terrorist extremist
Jihad extreme Islamic type movement even

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Jihad extreme Islamic type movement even

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Jihad extreme Islamic type movement even
in there among the Muslims within those

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in there among the Muslims within those

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in there among the Muslims within those
groups you see varying degrees of

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groups you see varying degrees of

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groups you see varying degrees of
support for what they do even though

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support for what they do even though

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support for what they do even though
there is a hardcore group that’s very

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there is a hardcore group that’s very

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there is a hardcore group that’s very
extreme and is willing to go to any

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extreme and is willing to go to any

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extreme and is willing to go to any
lengths killing innocent people and so

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lengths killing innocent people and so

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lengths killing innocent people and so
on and on down to where you see people

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on and on down to where you see people

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on and on down to where you see people
support those efforts but not be

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support those efforts but not be

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support those efforts but not be
involved you’ll see people that will

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involved you’ll see people that will

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involved you’ll see people that will
give money but they don’t even want to

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give money but they don’t even want to

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give money but they don’t even want to
support and you’ll see people that you

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support and you’ll see people that you

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support and you’ll see people that you
know cheered or when it takes place but

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know cheered or when it takes place but

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know cheered or when it takes place but
otherwise aren’t involved and you see

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otherwise aren’t involved and you see

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otherwise aren’t involved and you see
people who just don’t care you’ll see a

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people who just don’t care you’ll see a

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people who just don’t care you’ll see a
few people who are against it and so on

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few people who are against it and so on

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few people who are against it and so on
so I mean I think every movement is is a

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so I mean I think every movement is is a

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so I mean I think every movement is is a
reflection of that I mean each

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reflection of that I mean each

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reflection of that I mean each
individual person or group of people

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individual person or group of people

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individual person or group of people
will kind of respond in their own way

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will kind of respond in their own way

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will kind of respond in their own way
and I think what you’re seeing is yes I

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and I think what you’re seeing is yes I

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and I think what you’re seeing is yes I
think it’s both policy and kind of an

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think it’s both policy and kind of an

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think it’s both policy and kind of an
underlying part of the philosophy now

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underlying part of the philosophy now

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underlying part of the philosophy now
over the left in the United States the

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over the left in the United States the

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over the left in the United States the
Democratic Party or the liberal movement

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Democratic Party or the liberal movement

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Democratic Party or the liberal movement
that’s in control of the Democratic

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that’s in control of the Democratic

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that’s in control of the Democratic
Party in this day and age and I think

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Party in this day and age and I think

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Party in this day and age and I think
you’re seeing that play out at every

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you’re seeing that play out at every

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you’re seeing that play out at every
level on the violent end you have groups

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level on the violent end you have groups

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level on the violent end you have groups
like Ann Tifa that are connected with

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like Ann Tifa that are connected with

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like Ann Tifa that are connected with
groups that call themselves anarchist

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groups that call themselves anarchist

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groups that call themselves anarchist
and so on but they’re all funded and run

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and so on but they’re all funded and run

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and so on but they’re all funded and run
and connected back into the extreme left

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and connected back into the extreme left

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and connected back into the extreme left
and so if you take those that the most

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and so if you take those that the most

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and so if you take those that the most
violent and you can there’s a direct

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violent and you can there’s a direct

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violent and you can there’s a direct
comparison by them to any terrorist

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comparison by them to any terrorist

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comparison by them to any terrorist
group and they’re essentially a

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group and they’re essentially a

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group and they’re essentially a
terrorist group when they believe in

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terrorist group when they believe in

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terrorist group when they believe in
killing innocent people and use of

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killing innocent people and use of

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killing innocent people and use of
violence to get their their their way

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violence to get their their their way

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violence to get their their their way
politically and then you go on down the

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politically and then you go on down the

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politically and then you go on down the
chart and you have people like Maxine

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chart and you have people like Maxine

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chart and you have people like Maxine
Waters who’s now Maxine Waters somebody

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Waters who’s now Maxine Waters somebody

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Waters who’s now Maxine Waters somebody
who was basically nobody in Congress and

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who was basically nobody in Congress and

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who was basically nobody in Congress and
she mountain and become you know

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she mountain and become you know

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she mountain and become you know
screaming and yelling and you know fists

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screaming and yelling and you know fists

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screaming and yelling and you know fists
in the air and talking bad about the

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in the air and talking bad about the

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in the air and talking bad about the
president and so on and this has gained

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president and so on and this has gained

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president and so on and this has gained
her a lot of support and following so in

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her a lot of support and following so in

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her a lot of support and following so in
her case you also have people like

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her case you also have people like

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her case you also have people like
Maxine Waters who essentially are

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Maxine Waters who essentially are

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Maxine Waters who essentially are
jumping on the bandwagon because it

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jumping on the bandwagon because it

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jumping on the bandwagon because it
supports them you know it’s good for her

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supports them you know it’s good for her

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supports them you know it’s good for her
to gain the notoriety out of it and

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to gain the notoriety out of it and

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to gain the notoriety out of it and
everything so she doesn’t really care

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everything so she doesn’t really care

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everything so she doesn’t really care
about the blowback because her

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about the blowback because her

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about the blowback because her
supporters are the hardcore left

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supporters are the hardcore left

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supporters are the hardcore left
supporters anyway so for her to come out

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supporters anyway so for her to come out

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supporters anyway so for her to come out
and speak badly and the different

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and speak badly and the different

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and speak badly and the different
comedians that that talk about feckless

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comedians that that talk about feckless

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comedians that that talk about feckless
followed by c-word you know in

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followed by c-word you know in

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followed by c-word you know in
description of the first family and so

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description of the first family and so

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description of the first family and so
on are anyone is the things where you

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on are anyone is the things where you

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on are anyone is the things where you
have the use of profanity and

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have the use of profanity and

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have the use of profanity and
appropriate behavior kicking somebody

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appropriate behavior kicking somebody

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appropriate behavior kicking somebody
like Sanders out of the out of a

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like Sanders out of the out of a

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like Sanders out of the out of a
restaurant the Red Hen it was called and

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restaurant the Red Hen it was called and

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restaurant the Red Hen it was called and
here just outside of Washington DC and

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here just outside of Washington DC and

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here just outside of Washington DC and
where you see all those behaviors you

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where you see all those behaviors you

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where you see all those behaviors you
can you just see it across the board you

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can you just see it across the board you

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can you just see it across the board you
have people in that restaurant for

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have people in that restaurant for

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have people in that restaurant for
example the owner of the restaurant the

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example the owner of the restaurant the

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example the owner of the restaurant the
red hand that kicked out

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red hand that kicked out

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red hand that kicked out
Sarah Huckabee Sanders said that she

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Sarah Huckabee Sanders said that she

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Sarah Huckabee Sanders said that she
went to all of her employees and they

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went to all of her employees and they

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went to all of her employees and they
voted and they voted to ask her to leave

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voted and they voted to ask her to leave

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voted and they voted to ask her to leave
that they didn’t want to serve that sort

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that they didn’t want to serve that sort

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that they didn’t want to serve that sort
of people and she said it was time that

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of people and she said it was time that

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of people and she said it was time that
the the owners quote was that it’s time

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the the owners quote was that it’s time

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the the owners quote was that it’s time
for us to stand up you know and and

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for us to stand up you know and and

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for us to stand up you know and and
represent our politics and so on so

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represent our politics and so on so

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represent our politics and so on so
I’ve been kicking somebody out of a

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I’ve been kicking somebody out of a

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I’ve been kicking somebody out of a
restaurant I mean it’s basically a

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restaurant I mean it’s basically a

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restaurant I mean it’s basically a
low-life behavior I mean it certainly

232
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low-life behavior I mean it certainly

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low-life behavior I mean it certainly
doesn’t make a point you you here in the

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doesn’t make a point you you here in the

235
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doesn’t make a point you you here in the
United States and and certainly in the

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United States and and certainly in the

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United States and and certainly in the
Democratic Democratic world the way that

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Democratic Democratic world the way that

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Democratic Democratic world the way that
you express yourself in that way is is

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you express yourself in that way is is

241
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you express yourself in that way is is
through your vote and it’s it’s not

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through your vote and it’s it’s not

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through your vote and it’s it’s not
through you know slinging butter you

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through you know slinging butter you

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through you know slinging butter you
know yelling and calling names or

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know yelling and calling names or

247
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know yelling and calling names or
kicking somebody out of a restaurant

248
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kicking somebody out of a restaurant

249
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kicking somebody out of a restaurant
who’s there on their own private time

250
00:04:44,960 –> 00:04:44,970
who’s there on their own private time

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who’s there on their own private time
having dinner and by the way a customer

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having dinner and by the way a customer

253
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having dinner and by the way a customer
who is going to give you money so

254
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who is going to give you money so

255
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who is going to give you money so
understand that restaurant is having

256
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understand that restaurant is having

257
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understand that restaurant is having
some trouble there supporters but more

258
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some trouble there supporters but more

259
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some trouble there supporters but more
detractors because there’s a lot of

260
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detractors because there’s a lot of

261
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detractors because there’s a lot of
people that just recognize it but if you

262
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people that just recognize it but if you

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people that just recognize it but if you
take those people inside that Rus

264
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take those people inside that Rus

265
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take those people inside that Rus
they’re down the scale I mean they voted

266
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they’re down the scale I mean they voted

267
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they’re down the scale I mean they voted
they don’t like it they’re willing to

268
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they don’t like it they’re willing to

269
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they don’t like it they’re willing to
kick somebody out but they’re not

270
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kick somebody out but they’re not

271
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kick somebody out but they’re not
willing to probably provide money to

272
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willing to probably provide money to

273
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willing to probably provide money to
antifoam maybe maybe not they’re not

274
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antifoam maybe maybe not they’re not

275
00:05:07,320 –> 00:05:08,870
antifoam maybe maybe not they’re not
willing to probably support a violent

276
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willing to probably support a violent

277
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willing to probably support a violent
act they’re probably not really to

278
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act they’re probably not really to

279
00:05:10,050 –> 00:05:13,310
act they’re probably not really to
conduct ready to conduct us a violent

280
00:05:13,310 –> 00:05:13,320
conduct ready to conduct us a violent

281
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conduct ready to conduct us a violent
act but all of that feeds on each other

282
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act but all of that feeds on each other

283
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act but all of that feeds on each other
and it’s kind of a circular thing if you

284
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and it’s kind of a circular thing if you

285
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and it’s kind of a circular thing if you
look back at the European terrorist

286
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look back at the European terrorist

287
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look back at the European terrorist
groups the Red Brigades and that period

288
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groups the Red Brigades and that period

289
00:05:24,389 –> 00:05:25,790
groups the Red Brigades and that period
of time when all of those were going on

290
00:05:25,790 –> 00:05:25,800
of time when all of those were going on

291
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of time when all of those were going on
they kind of live in a little echo

292
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they kind of live in a little echo

293
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they kind of live in a little echo
chamber circle and they only listen to

294
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chamber circle and they only listen to

295
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chamber circle and they only listen to
themselves they only hear what they say

296
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themselves they only hear what they say

297
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themselves they only hear what they say
they only hear the propaganda they see

298
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they only hear the propaganda they see

299
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they only hear the propaganda they see
isolated events like this restaurant go

300
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isolated events like this restaurant go

301
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isolated events like this restaurant go
and the more violent people are

302
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and the more violent people are

303
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and the more violent people are
encouraged to become more violent and

304
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encouraged to become more violent and

305
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encouraged to become more violent and
that’s the problem with these restaurant

306
00:05:42,439 –> 00:05:42,449
that’s the problem with these restaurant

307
00:05:42,449 –> 00:05:44,420
that’s the problem with these restaurant
types of behaviors and the Maxine Waters

308
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types of behaviors and the Maxine Waters

309
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types of behaviors and the Maxine Waters
types of behaviors and essentially you

310
00:05:47,330 –> 00:05:47,340
types of behaviors and essentially you

311
00:05:47,340 –> 00:05:50,719
types of behaviors and essentially you
see it widespread across the aft of the

312
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see it widespread across the aft of the

313
00:05:50,729 –> 00:05:52,310
see it widespread across the aft of the
spectrum here in the United States you

314
00:05:52,310 –> 00:05:52,320
spectrum here in the United States you

315
00:05:52,320 –> 00:05:53,899
spectrum here in the United States you
don’t see it on the conservative side

316
00:05:53,899 –> 00:05:53,909
don’t see it on the conservative side

317
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don’t see it on the conservative side
and I think that’s that’s taking us down

318
00:05:56,240 –> 00:05:56,250
and I think that’s that’s taking us down

319
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and I think that’s that’s taking us down
the street the expectation for example

320
00:05:59,120 –> 00:05:59,130
the street the expectation for example

321
00:05:59,130 –> 00:06:00,560
the street the expectation for example
on the left that Trump was going to be

322
00:06:00,560 –> 00:06:00,570
on the left that Trump was going to be

323
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on the left that Trump was going to be
ousted that he did all this illegal

324
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ousted that he did all this illegal

325
00:06:02,669 –> 00:06:04,870
ousted that he did all this illegal
stuff and of course none of that is true

326
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stuff and of course none of that is true

327
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stuff and of course none of that is true
their their expectations are being

328
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their their expectations are being

329
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their their expectations are being
frustrated and you see all of this

330
00:06:09,529 –> 00:06:09,539
frustrated and you see all of this

331
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frustrated and you see all of this
screaming and yelling and the use of bad

332
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screaming and yelling and the use of bad

333
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screaming and yelling and the use of bad
words and names and all that I think is

334
00:06:12,740 –> 00:06:12,750
words and names and all that I think is

335
00:06:12,750 –> 00:06:15,430
words and names and all that I think is
is an expression of that frustration and

336
00:06:15,430 –> 00:06:15,440
is an expression of that frustration and

337
00:06:15,440 –> 00:06:17,779
is an expression of that frustration and
liberals basically don’t talk to anybody

338
00:06:17,779 –> 00:06:17,789
liberals basically don’t talk to anybody

339
00:06:17,789 –> 00:06:20,810
liberals basically don’t talk to anybody
but liberals and that’s why they go

340
00:06:20,810 –> 00:06:20,820
but liberals and that’s why they go

341
00:06:20,820 –> 00:06:22,580
but liberals and that’s why they go
crazy and try to shout you down if you

342
00:06:22,580 –> 00:06:22,590
crazy and try to shout you down if you

343
00:06:22,590 –> 00:06:25,159
crazy and try to shout you down if you
try to express a different idea so I

344
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try to express a different idea so I

345
00:06:25,169 –> 00:06:27,260
try to express a different idea so I
think they’re essentially on the path to

346
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think they’re essentially on the path to

347
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think they’re essentially on the path to
while meant not their own destruction

348
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while meant not their own destruction

349
00:06:29,310 –> 00:06:30,500
while meant not their own destruction
there’s something on the

350
00:06:30,500 –> 00:06:30,510
there’s something on the

351
00:06:30,510 –> 00:06:33,650
there’s something on the
too greatly damaging themselves as a as

352
00:06:33,650 –> 00:06:33,660
too greatly damaging themselves as a as

353
00:06:33,660 –> 00:06:36,560
too greatly damaging themselves as a as
a trademark if you will and people a

354
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a trademark if you will and people a

355
00:06:36,570 –> 00:06:38,750
a trademark if you will and people a
normal person non-political person or

356
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normal person non-political person or

357
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normal person non-political person or
even somebody that’s a Democrat but not

358
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even somebody that’s a Democrat but not

359
00:06:42,330 –> 00:06:45,230
even somebody that’s a Democrat but not
necessarily a you know an extreme

360
00:06:45,230 –> 00:06:45,240
necessarily a you know an extreme

361
00:06:45,240 –> 00:06:48,260
necessarily a you know an extreme
liberal type of individual we’ll look at

362
00:06:48,260 –> 00:06:48,270
liberal type of individual we’ll look at

363
00:06:48,270 –> 00:06:51,790
liberal type of individual we’ll look at
that that it’s just out of control

364
00:06:51,790 –> 00:06:51,800
that that it’s just out of control

365
00:06:51,800 –> 00:06:54,020
that that it’s just out of control
uncalled for behavior calling somebody a

366
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uncalled for behavior calling somebody a

367
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uncalled for behavior calling somebody a
feckless c-word

368
00:06:55,880 –> 00:06:55,890
feckless c-word

369
00:06:55,890 –> 00:06:58,910
feckless c-word
you know there’s y-you know it wasn’t

370
00:06:58,910 –> 00:06:58,920
you know there’s y-you know it wasn’t

371
00:06:58,920 –> 00:06:59,540
you know there’s y-you know it wasn’t
like that

372
00:06:59,540 –> 00:06:59,550
like that

373
00:06:59,550 –> 00:07:01,430
like that
you’re calling out somebody who’s

374
00:07:01,430 –> 00:07:01,440
you’re calling out somebody who’s

375
00:07:01,440 –> 00:07:03,110
you’re calling out somebody who’s
murdered thousands of people or

376
00:07:03,110 –> 00:07:03,120
murdered thousands of people or

377
00:07:03,120 –> 00:07:05,000
murdered thousands of people or
something but they’re they’re constantly

378
00:07:05,000 –> 00:07:05,010
something but they’re they’re constantly

379
00:07:05,010 –> 00:07:06,890
something but they’re they’re constantly
compared to that I mean everybody’s on

380
00:07:06,890 –> 00:07:06,900
compared to that I mean everybody’s on

381
00:07:06,900 –> 00:07:09,410
compared to that I mean everybody’s on
the left constantly calls Trump Hitler

382
00:07:09,410 –> 00:07:09,420
the left constantly calls Trump Hitler

383
00:07:09,420 –> 00:07:11,420
the left constantly calls Trump Hitler
and all this sort of stuff I mean Hitler

384
00:07:11,420 –> 00:07:11,430
and all this sort of stuff I mean Hitler

385
00:07:11,430 –> 00:07:13,790
and all this sort of stuff I mean Hitler
slotted slaughtered six million Jews I

386
00:07:13,790 –> 00:07:13,800
slotted slaughtered six million Jews I

387
00:07:13,800 –> 00:07:16,370
slotted slaughtered six million Jews I
mean and you belittle the evil of that

388
00:07:16,370 –> 00:07:16,380
mean and you belittle the evil of that

389
00:07:16,380 –> 00:07:19,160
mean and you belittle the evil of that
man by comparing it to a political rival

390
00:07:19,160 –> 00:07:19,170
man by comparing it to a political rival

391
00:07:19,170 –> 00:07:21,710
man by comparing it to a political rival
you just don’t care for and and beyond

392
00:07:21,710 –> 00:07:21,720
you just don’t care for and and beyond

393
00:07:21,720 –> 00:07:23,000
you just don’t care for and and beyond
that Hitler murdered a lot of other

394
00:07:23,000 –> 00:07:23,010
that Hitler murdered a lot of other

395
00:07:23,010 –> 00:07:26,540
that Hitler murdered a lot of other
people too besides just the Jews and not

396
00:07:26,540 –> 00:07:26,550
people too besides just the Jews and not

397
00:07:26,550 –> 00:07:28,520
people too besides just the Jews and not
to mention the people that died in World

398
00:07:28,520 –> 00:07:28,530
to mention the people that died in World

399
00:07:28,530 –> 00:07:30,890
to mention the people that died in World
War two as a result of what Hitler’s

400
00:07:30,890 –> 00:07:30,900
War two as a result of what Hitler’s

401
00:07:30,900 –> 00:07:33,320
War two as a result of what Hitler’s
policies were and and to take a person

402
00:07:33,320 –> 00:07:33,330
policies were and and to take a person

403
00:07:33,330 –> 00:07:34,820
policies were and and to take a person
like Hitler and compare him you know

404
00:07:34,820 –> 00:07:34,830
like Hitler and compare him you know

405
00:07:34,830 –> 00:07:37,580
like Hitler and compare him you know
really personifies evil in just so many

406
00:07:37,580 –> 00:07:37,590
really personifies evil in just so many

407
00:07:37,590 –> 00:07:40,430
really personifies evil in just so many
ways and compared to Donald Trump who’s

408
00:07:40,430 –> 00:07:40,440
ways and compared to Donald Trump who’s

409
00:07:40,440 –> 00:07:43,940
ways and compared to Donald Trump who’s
basically a decent guy and and and try

410
00:07:43,940 –> 00:07:43,950
basically a decent guy and and and try

411
00:07:43,950 –> 00:07:45,470
basically a decent guy and and and try
to make that comparison because you hate

412
00:07:45,470 –> 00:07:45,480
to make that comparison because you hate

413
00:07:45,480 –> 00:07:47,480
to make that comparison because you hate
Trump you just because you disagree with

414
00:07:47,480 –> 00:07:47,490
Trump you just because you disagree with

415
00:07:47,490 –> 00:07:49,340
Trump you just because you disagree with
them politically it’s just it’s uncalled

416
00:07:49,340 –> 00:07:49,350
them politically it’s just it’s uncalled

417
00:07:49,350 –> 00:07:51,200
them politically it’s just it’s uncalled
for the average person is going to look

418
00:07:51,200 –> 00:07:51,210
for the average person is going to look

419
00:07:51,210 –> 00:07:52,850
for the average person is going to look
at all this and is looking at all this

420
00:07:52,850 –> 00:07:52,860
at all this and is looking at all this

421
00:07:52,860 –> 00:07:56,300
at all this and is looking at all this
and they just don’t like it there’s

422
00:07:56,300 –> 00:07:56,310
and they just don’t like it there’s

423
00:07:56,310 –> 00:07:58,070
and they just don’t like it there’s
varying degrees of reaction to it but

424
00:07:58,070 –> 00:07:58,080
varying degrees of reaction to it but

425
00:07:58,080 –> 00:08:00,590
varying degrees of reaction to it but
it’s clearly overall negative and I’d

426
00:08:00,590 –> 00:08:00,600
it’s clearly overall negative and I’d

427
00:08:00,600 –> 00:08:02,150
it’s clearly overall negative and I’d
say clearly because of what you see

428
00:08:02,150 –> 00:08:02,160
say clearly because of what you see

429
00:08:02,160 –> 00:08:04,670
say clearly because of what you see
happening in the elections and time

430
00:08:04,670 –> 00:08:04,680
happening in the elections and time

431
00:08:04,680 –> 00:08:07,250
happening in the elections and time
after time you just see the for example

432
00:08:07,250 –> 00:08:07,260
after time you just see the for example

433
00:08:07,260 –> 00:08:09,260
after time you just see the for example
one of the big things that’s touted

434
00:08:09,260 –> 00:08:09,270
one of the big things that’s touted

435
00:08:09,270 –> 00:08:11,690
one of the big things that’s touted
around is the generic poll which says

436
00:08:11,690 –> 00:08:11,700
around is the generic poll which says

437
00:08:11,700 –> 00:08:14,000
around is the generic poll which says
you know if you had to voted a vote for

438
00:08:14,000 –> 00:08:14,010
you know if you had to voted a vote for

439
00:08:14,010 –> 00:08:17,180
you know if you had to voted a vote for
Democrat Republican and a year ago the

440
00:08:17,180 –> 00:08:17,190
Democrat Republican and a year ago the

441
00:08:17,190 –> 00:08:19,280
Democrat Republican and a year ago the
Democrats were ahead by 25 points and

442
00:08:19,280 –> 00:08:19,290
Democrats were ahead by 25 points and

443
00:08:19,290 –> 00:08:21,110
Democrats were ahead by 25 points and
now it’s it’s a dead heat and we’re

444
00:08:21,110 –> 00:08:21,120
now it’s it’s a dead heat and we’re

445
00:08:21,120 –> 00:08:22,910
now it’s it’s a dead heat and we’re
going into the midterm elections so

446
00:08:22,910 –> 00:08:22,920
going into the midterm elections so

447
00:08:22,920 –> 00:08:25,760
going into the midterm elections so
there was huge talk and a lot of bluster

448
00:08:25,760 –> 00:08:25,770
there was huge talk and a lot of bluster

449
00:08:25,770 –> 00:08:27,950
there was huge talk and a lot of bluster
and bravado and and confidence that

450
00:08:27,950 –> 00:08:27,960
and bravado and and confidence that

451
00:08:27,960 –> 00:08:30,650
and bravado and and confidence that
there was going to be a big wave of

452
00:08:30,650 –> 00:08:30,660
there was going to be a big wave of

453
00:08:30,660 –> 00:08:32,719
there was going to be a big wave of
success for the Democratic Party and

454
00:08:32,719 –> 00:08:32,729
success for the Democratic Party and

455
00:08:32,729 –> 00:08:33,710
success for the Democratic Party and
they were going to take control the

456
00:08:33,710 –> 00:08:33,720
they were going to take control the

457
00:08:33,720 –> 00:08:35,810
they were going to take control the
house take control the Senate and so on

458
00:08:35,810 –> 00:08:35,820
house take control the Senate and so on

459
00:08:35,820 –> 00:08:37,730
house take control the Senate and so on
and instead what you see is

460
00:08:37,730 –> 00:08:37,740
and instead what you see is

461
00:08:37,740 –> 00:08:39,409
and instead what you see is
it’s just not it’s just not happening

462
00:08:39,409 –> 00:08:39,419
it’s just not it’s just not happening

463
00:08:39,419 –> 00:08:42,469
it’s just not it’s just not happening
the candidates that trunk comes out in

464
00:08:42,469 –> 00:08:42,479
the candidates that trunk comes out in

465
00:08:42,479 –> 00:08:44,510
the candidates that trunk comes out in
sports win they win these elections and

466
00:08:44,510 –> 00:08:44,520
sports win they win these elections and

467
00:08:44,520 –> 00:08:46,579
sports win they win these elections and
some of the out of cycle elections

468
00:08:46,579 –> 00:08:46,589
some of the out of cycle elections

469
00:08:46,589 –> 00:08:47,930
some of the out of cycle elections
special elections and so on that we’ve

470
00:08:47,930 –> 00:08:47,940
special elections and so on that we’ve

471
00:08:47,940 –> 00:08:50,210
special elections and so on that we’ve
had they’ve consistently been big wins

472
00:08:50,210 –> 00:08:50,220
had they’ve consistently been big wins

473
00:08:50,220 –> 00:08:52,940
had they’ve consistently been big wins
for the Republicans not the dinner okay

474
00:08:52,940 –> 00:08:52,950
for the Republicans not the dinner okay

475
00:08:52,950 –> 00:08:55,340
for the Republicans not the dinner okay
and they have an occasional win but it’s

476
00:08:55,340 –> 00:08:55,350
and they have an occasional win but it’s

477
00:08:55,350 –> 00:08:56,990
and they have an occasional win but it’s
it’s a five to one ratio something along

478
00:08:56,990 –> 00:08:57,000
it’s a five to one ratio something along

479
00:08:57,000 –> 00:08:59,320
it’s a five to one ratio something along
those lines of Republican wins versus

480
00:08:59,320 –> 00:08:59,330
those lines of Republican wins versus

481
00:08:59,330 –> 00:09:02,389
those lines of Republican wins versus
Democrat wins and you’ve even seen the

482
00:09:02,389 –> 00:09:02,399
Democrat wins and you’ve even seen the

483
00:09:02,399 –> 00:09:04,550
Democrat wins and you’ve even seen the
number for ranking guy in the house for

484
00:09:04,550 –> 00:09:04,560
number for ranking guy in the house for

485
00:09:04,560 –> 00:09:06,350
number for ranking guy in the house for
the Democrats just got knocked off by a

486
00:09:06,350 –> 00:09:06,360
the Democrats just got knocked off by a

487
00:09:06,360 –> 00:09:09,440
the Democrats just got knocked off by a
twenty eight-year-old nobody in in the

488
00:09:09,440 –> 00:09:09,450
twenty eight-year-old nobody in in the

489
00:09:09,450 –> 00:09:11,720
twenty eight-year-old nobody in in the
Queens in New York and that just

490
00:09:11,720 –> 00:09:11,730
Queens in New York and that just

491
00:09:11,730 –> 00:09:13,610
Queens in New York and that just
happened yesterday as we’re doing this

492
00:09:13,610 –> 00:09:13,620
happened yesterday as we’re doing this

493
00:09:13,620 –> 00:09:16,370
happened yesterday as we’re doing this
interview and that’s just unheard of you

494
00:09:16,370 –> 00:09:16,380
interview and that’s just unheard of you

495
00:09:16,380 –> 00:09:19,430
interview and that’s just unheard of you
know a guy that had won ten elections in

496
00:09:19,430 –> 00:09:19,440
know a guy that had won ten elections in

497
00:09:19,440 –> 00:09:21,139
know a guy that had won ten elections in
a row he’d been there for a long time I

498
00:09:21,139 –> 00:09:21,149
a row he’d been there for a long time I

499
00:09:21,149 –> 00:09:23,199
a row he’d been there for a long time I
was a well-established well-known

500
00:09:23,199 –> 00:09:23,209
was a well-established well-known

501
00:09:23,209 –> 00:09:26,449
was a well-established well-known
candidate who outspent the young lady by

502
00:09:26,449 –> 00:09:26,459
candidate who outspent the young lady by

503
00:09:26,459 –> 00:09:29,240
candidate who outspent the young lady by
I don’t know I think he spent thirty

504
00:09:29,240 –> 00:09:29,250
I don’t know I think he spent thirty

505
00:09:29,250 –> 00:09:30,740
I don’t know I think he spent thirty
million dollars what’s being kicked

506
00:09:30,740 –> 00:09:30,750
million dollars what’s being kicked

507
00:09:30,750 –> 00:09:32,660
million dollars what’s being kicked
around and she had almost no money and

508
00:09:32,660 –> 00:09:32,670
around and she had almost no money and

509
00:09:32,670 –> 00:09:37,550
around and she had almost no money and
yet won and so he’s out she’s in and I

510
00:09:37,550 –> 00:09:37,560
yet won and so he’s out she’s in and I

511
00:09:37,560 –> 00:09:40,639
yet won and so he’s out she’s in and I
think you see a lot of pushback in a

512
00:09:40,639 –> 00:09:40,649
think you see a lot of pushback in a

513
00:09:40,649 –> 00:09:42,139
think you see a lot of pushback in a
number of different areas within the

514
00:09:42,139 –> 00:09:42,149
number of different areas within the

515
00:09:42,149 –> 00:09:44,630
number of different areas within the
party pushing from the left also pushing

516
00:09:44,630 –> 00:09:44,640
party pushing from the left also pushing

517
00:09:44,640 –> 00:09:47,540
party pushing from the left also pushing
from sort of what I’ll call the the

518
00:09:47,540 –> 00:09:47,550
from sort of what I’ll call the the

519
00:09:47,550 –> 00:09:49,790
from sort of what I’ll call the the
Democrats versus liberals but the

520
00:09:49,790 –> 00:09:49,800
Democrats versus liberals but the

521
00:09:49,800 –> 00:09:51,500
Democrats versus liberals but the
Democrats within the Democratic Party

522
00:09:51,500 –> 00:09:51,510
Democrats within the Democratic Party

523
00:09:51,510 –> 00:09:52,819
Democrats within the Democratic Party
are beginning to push back on this stuff

524
00:09:52,819 –> 00:09:52,829
are beginning to push back on this stuff

525
00:09:52,829 –> 00:09:55,220
are beginning to push back on this stuff
too so I think you see break up dis

526
00:09:55,220 –> 00:09:55,230
too so I think you see break up dis

527
00:09:55,230 –> 00:09:58,730
too so I think you see break up dis
accord and discord and a lot of problems

528
00:09:58,730 –> 00:09:58,740
accord and discord and a lot of problems

529
00:09:58,740 –> 00:10:00,650
accord and discord and a lot of problems
on the Democratic side

530
00:10:00,650 –> 00:10:00,660
on the Democratic side

531
00:10:00,660 –> 00:10:02,690
on the Democratic side
you do see some of those issues on the

532
00:10:02,690 –> 00:10:02,700
you do see some of those issues on the

533
00:10:02,700 –> 00:10:05,569
you do see some of those issues on the
Republican side as well but it’s it’s a

534
00:10:05,569 –> 00:10:05,579
Republican side as well but it’s it’s a

535
00:10:05,579 –> 00:10:07,579
Republican side as well but it’s it’s a
far more civilized if you will and and

536
00:10:07,579 –> 00:10:07,589
far more civilized if you will and and

537
00:10:07,589 –> 00:10:09,590
far more civilized if you will and and
there’s more overlap and agreement on

538
00:10:09,590 –> 00:10:09,600
there’s more overlap and agreement on

539
00:10:09,600 –> 00:10:11,569
there’s more overlap and agreement on
the Republican side than there is on the

540
00:10:11,569 –> 00:10:11,579
the Republican side than there is on the

541
00:10:11,579 –> 00:10:14,420
the Republican side than there is on the
Democratic side so you’re seeing a push

542
00:10:14,420 –> 00:10:14,430
Democratic side so you’re seeing a push

543
00:10:14,430 –> 00:10:16,250
Democratic side so you’re seeing a push
on the on the Republicans are slowly

544
00:10:16,250 –> 00:10:16,260
on the on the Republicans are slowly

545
00:10:16,260 –> 00:10:18,079
on the on the Republicans are slowly
turning more conservative you see it as

546
00:10:18,079 –> 00:10:18,089
turning more conservative you see it as

547
00:10:18,089 –> 00:10:20,960
turning more conservative you see it as
the freedom caucus does well and and

548
00:10:20,960 –> 00:10:20,970
the freedom caucus does well and and

549
00:10:20,970 –> 00:10:22,460
the freedom caucus does well and and
we’re going to see how the freedom

550
00:10:22,460 –> 00:10:22,470
we’re going to see how the freedom

551
00:10:22,470 –> 00:10:24,500
we’re going to see how the freedom
caucus candidates do this election

552
00:10:24,500 –> 00:10:24,510
caucus candidates do this election

553
00:10:24,510 –> 00:10:25,400
caucus candidates do this election
there’s a number of people that have

554
00:10:25,400 –> 00:10:25,410
there’s a number of people that have

555
00:10:25,410 –> 00:10:27,620
there’s a number of people that have
promised a caucus with them if they win

556
00:10:27,620 –> 00:10:27,630
promised a caucus with them if they win

557
00:10:27,630 –> 00:10:30,199
promised a caucus with them if they win
and Trump is out supporting some of

558
00:10:30,199 –> 00:10:30,209
and Trump is out supporting some of

559
00:10:30,209 –> 00:10:32,660
and Trump is out supporting some of
these candidates and so we’ll see now my

560
00:10:32,660 –> 00:10:32,670
these candidates and so we’ll see now my

561
00:10:32,670 –> 00:10:35,120
these candidates and so we’ll see now my
personal prediction you can call me the

562
00:10:35,120 –> 00:10:35,130
personal prediction you can call me the

563
00:10:35,130 –> 00:10:37,819
personal prediction you can call me the
task in another few months after the

564
00:10:37,819 –> 00:10:37,829
task in another few months after the

565
00:10:37,829 –> 00:10:39,800
task in another few months after the
elections in November here in the US but

566
00:10:39,800 –> 00:10:39,810
elections in November here in the US but

567
00:10:39,810 –> 00:10:42,460
elections in November here in the US but
my prediction is now that the

568
00:10:42,460 –> 00:10:42,470
my prediction is now that the

569
00:10:42,470 –> 00:10:44,329
my prediction is now that the
Republicans in the Senate are going to

570
00:10:44,329 –> 00:10:44,339
Republicans in the Senate are going to

571
00:10:44,339 –> 00:10:46,939
Republicans in the Senate are going to
pick up seats two or three seats at

572
00:10:46,939 –> 00:10:46,949
pick up seats two or three seats at

573
00:10:46,949 –> 00:10:48,400
pick up seats two or three seats at
Lippe

574
00:10:48,400 –> 00:10:48,410
Lippe

575
00:10:48,410 –> 00:10:50,290
Lippe
and I think in Congress they’ll they’ll

576
00:10:50,290 –> 00:10:50,300
and I think in Congress they’ll they’ll

577
00:10:50,300 –> 00:10:52,300
and I think in Congress they’ll they’ll
come very close to holding you know give

578
00:10:52,300 –> 00:10:52,310
come very close to holding you know give

579
00:10:52,310 –> 00:10:53,590
come very close to holding you know give
or take a couple you know I think

580
00:10:53,590 –> 00:10:53,600
or take a couple you know I think

581
00:10:53,600 –> 00:10:54,880
or take a couple you know I think
they’ll stay very close to where they’re

582
00:10:54,880 –> 00:10:54,890
they’ll stay very close to where they’re

583
00:10:54,890 –> 00:10:58,300
they’ll stay very close to where they’re
at or gain a few so I think not only

584
00:10:58,300 –> 00:10:58,310
at or gain a few so I think not only

585
00:10:58,310 –> 00:11:00,310
at or gain a few so I think not only
will you not see the Democrats weak –

586
00:11:00,310 –> 00:11:00,320
will you not see the Democrats weak –

587
00:11:00,320 –> 00:11:02,770
will you not see the Democrats weak –
very sweet to victory and take back

588
00:11:02,770 –> 00:11:02,780
very sweet to victory and take back

589
00:11:02,780 –> 00:11:05,080
very sweet to victory and take back
control the houses of the Congress but I

590
00:11:05,080 –> 00:11:05,090
control the houses of the Congress but I

591
00:11:05,090 –> 00:11:06,340
control the houses of the Congress but I
think you’re gonna see them lose ground

592
00:11:06,340 –> 00:11:06,350
think you’re gonna see them lose ground

593
00:11:06,350 –> 00:11:08,530
think you’re gonna see them lose ground
and I think a lot of it comes from this

594
00:11:08,530 –> 00:11:08,540
and I think a lot of it comes from this

595
00:11:08,540 –> 00:11:11,350
and I think a lot of it comes from this
shrillness the hatred I mean if you look

596
00:11:11,350 –> 00:11:11,360
shrillness the hatred I mean if you look

597
00:11:11,360 –> 00:11:13,210
shrillness the hatred I mean if you look
at we all know who liberals hate there’s

598
00:11:13,210 –> 00:11:13,220
at we all know who liberals hate there’s

599
00:11:13,220 –> 00:11:14,950
at we all know who liberals hate there’s
no doubt in anybody’s mind you they hate

600
00:11:14,950 –> 00:11:14,960
no doubt in anybody’s mind you they hate

601
00:11:14,960 –> 00:11:17,890
no doubt in anybody’s mind you they hate
SUVs they hate oil companies they hate

602
00:11:17,890 –> 00:11:17,900
SUVs they hate oil companies they hate

603
00:11:17,900 –> 00:11:19,720
SUVs they hate oil companies they hate
big business I mean you can go through

604
00:11:19,720 –> 00:11:19,730
big business I mean you can go through

605
00:11:19,730 –> 00:11:21,100
big business I mean you can go through
the list you know you know what they

606
00:11:21,100 –> 00:11:21,110
the list you know you know what they

607
00:11:21,110 –> 00:11:23,050
the list you know you know what they
hate because they their shrill about it

608
00:11:23,050 –> 00:11:23,060
hate because they their shrill about it

609
00:11:23,060 –> 00:11:24,940
hate because they their shrill about it
screaming and all of it all the time and

610
00:11:24,940 –> 00:11:24,950
screaming and all of it all the time and

611
00:11:24,950 –> 00:11:27,310
screaming and all of it all the time and
you hear an Tifa talk about Oh evil

612
00:11:27,310 –> 00:11:27,320
you hear an Tifa talk about Oh evil

613
00:11:27,320 –> 00:11:28,810
you hear an Tifa talk about Oh evil
corporations the corporate you know

614
00:11:28,810 –> 00:11:28,820
corporations the corporate you know

615
00:11:28,820 –> 00:11:30,520
corporations the corporate you know
taking over the world and they have to

616
00:11:30,520 –> 00:11:30,530
taking over the world and they have to

617
00:11:30,530 –> 00:11:32,470
taking over the world and they have to
be destroyed and you see always know

618
00:11:32,470 –> 00:11:32,480
be destroyed and you see always know

619
00:11:32,480 –> 00:11:34,150
be destroyed and you see always know
what they hate but that does not exist

620
00:11:34,150 –> 00:11:34,160
what they hate but that does not exist

621
00:11:34,160 –> 00:11:36,220
what they hate but that does not exist
for for the Conservatives you there is

622
00:11:36,220 –> 00:11:36,230
for for the Conservatives you there is

623
00:11:36,230 –> 00:11:37,930
for for the Conservatives you there is
no list of stuff the only people that

624
00:11:37,930 –> 00:11:37,940
no list of stuff the only people that

625
00:11:37,940 –> 00:11:39,640
no list of stuff the only people that
always say that conservatives hate

626
00:11:39,640 –> 00:11:39,650
always say that conservatives hate

627
00:11:39,650 –> 00:11:40,930
always say that conservatives hate
something it’s the Liberals always

628
00:11:40,930 –> 00:11:40,940
something it’s the Liberals always

629
00:11:40,940 –> 00:11:42,550
something it’s the Liberals always
putting words in conservatives mouths

630
00:11:42,550 –> 00:11:42,560
putting words in conservatives mouths

631
00:11:42,560 –> 00:11:45,850
putting words in conservatives mouths
saying oh you hate children you hated

632
00:11:45,850 –> 00:11:45,860
saying oh you hate children you hated

633
00:11:45,860 –> 00:11:48,640
saying oh you hate children you hated
all this but I you know I think the

634
00:11:48,640 –> 00:11:48,650
all this but I you know I think the

635
00:11:48,650 –> 00:11:49,750
all this but I you know I think the
answer should be I can speak for myself

636
00:11:49,750 –> 00:11:49,760
answer should be I can speak for myself

637
00:11:49,760 –> 00:11:52,060
answer should be I can speak for myself
thank you very much you know I I don’t

638
00:11:52,060 –> 00:11:52,070
thank you very much you know I I don’t

639
00:11:52,070 –> 00:11:53,650
thank you very much you know I I don’t
need you to say who I hate because I

640
00:11:53,650 –> 00:11:53,660
need you to say who I hate because I

641
00:11:53,660 –> 00:11:57,100
need you to say who I hate because I
don’t hate those guys and we know who

642
00:11:57,100 –> 00:11:57,110
don’t hate those guys and we know who

643
00:11:57,110 –> 00:11:58,630
don’t hate those guys and we know who
you hate because they say it all the

644
00:11:58,630 –> 00:11:58,640
you hate because they say it all the

645
00:11:58,640 –> 00:12:00,490
you hate because they say it all the
time so it’s it’s one of those

646
00:12:00,490 –> 00:12:00,500
time so it’s it’s one of those

647
00:12:00,500 –> 00:12:01,930
time so it’s it’s one of those
differences you just don’t hear that

648
00:12:01,930 –> 00:12:01,940
differences you just don’t hear that

649
00:12:01,940 –> 00:12:04,330
differences you just don’t hear that
hatred coming out of the conservative

650
00:12:04,330 –> 00:12:04,340
hatred coming out of the conservative

651
00:12:04,340 –> 00:12:06,880
hatred coming out of the conservative
bloc but you do hear it coming out of

652
00:12:06,880 –> 00:12:06,890
bloc but you do hear it coming out of

653
00:12:06,890 –> 00:12:09,040
bloc but you do hear it coming out of
the liberal bloc and that liberal bloc

654
00:12:09,040 –> 00:12:09,050
the liberal bloc and that liberal bloc

655
00:12:09,050 –> 00:12:11,080
the liberal bloc and that liberal bloc
is if people are misinformed the

656
00:12:11,080 –> 00:12:11,090
is if people are misinformed the

657
00:12:11,090 –> 00:12:13,420
is if people are misinformed the
statistics show the hardcore left is at

658
00:12:13,420 –> 00:12:13,430
statistics show the hardcore left is at

659
00:12:13,430 –> 00:12:16,180
statistics show the hardcore left is at
best 20% of the population and so it’s

660
00:12:16,180 –> 00:12:16,190
best 20% of the population and so it’s

661
00:12:16,190 –> 00:12:18,160
best 20% of the population and so it’s
that other 80% that are now voting in

662
00:12:18,160 –> 00:12:18,170
that other 80% that are now voting in

663
00:12:18,170 –> 00:12:19,570
that other 80% that are now voting in
roll controlling the books

664
00:12:19,570 –> 00:12:19,580
roll controlling the books

665
00:12:19,580 –> 00:12:22,630
roll controlling the books
you saw that marshaled heavily under

666
00:12:22,630 –> 00:12:22,640
you saw that marshaled heavily under

667
00:12:22,640 –> 00:12:24,250
you saw that marshaled heavily under
Ronald Reagan and the Democrats that

668
00:12:24,250 –> 00:12:24,260
Ronald Reagan and the Democrats that

669
00:12:24,260 –> 00:12:27,100
Ronald Reagan and the Democrats that
voted for Ronald Reagan are called you

670
00:12:27,100 –> 00:12:27,110
voted for Ronald Reagan are called you

671
00:12:27,110 –> 00:12:29,050
voted for Ronald Reagan are called you
know Reagan Democrats but many of those

672
00:12:29,050 –> 00:12:29,060
know Reagan Democrats but many of those

673
00:12:29,060 –> 00:12:30,730
know Reagan Democrats but many of those
people have also voted for Trump he’s

674
00:12:30,730 –> 00:12:30,740
people have also voted for Trump he’s

675
00:12:30,740 –> 00:12:33,730
people have also voted for Trump he’s
tapping into that same pool of just kind

676
00:12:33,730 –> 00:12:33,740
tapping into that same pool of just kind

677
00:12:33,740 –> 00:12:35,380
tapping into that same pool of just kind
of normal people out there that want to

678
00:12:35,380 –> 00:12:35,390
of normal people out there that want to

679
00:12:35,390 –> 00:12:37,360
of normal people out there that want to
see things go well and just don’t like

680
00:12:37,360 –> 00:12:37,370
see things go well and just don’t like

681
00:12:37,370 –> 00:12:40,750
see things go well and just don’t like
all this spewing hatred and so on so I I

682
00:12:40,750 –> 00:12:40,760
all this spewing hatred and so on so I I

683
00:12:40,760 –> 00:12:43,090
all this spewing hatred and so on so I I
think it’s gonna take the Democrats are

684
00:12:43,090 –> 00:12:43,100
think it’s gonna take the Democrats are

685
00:12:43,100 –> 00:12:44,890
think it’s gonna take the Democrats are
in very deep trouble I think they’re

686
00:12:44,890 –> 00:12:44,900
in very deep trouble I think they’re

687
00:12:44,900 –> 00:12:46,420
in very deep trouble I think they’re
gonna take a shellacking especially in

688
00:12:46,420 –> 00:12:46,430
gonna take a shellacking especially in

689
00:12:46,430 –> 00:12:46,870
gonna take a shellacking especially in
the Senate

690
00:12:46,870 –> 00:12:46,880
the Senate

691
00:12:46,880 –> 00:12:48,580
the Senate
like I said another three or four to

692
00:12:48,580 –> 00:12:48,590
like I said another three or four to

693
00:12:48,590 –> 00:12:49,960
like I said another three or four to
three or four seats in the Senate for

694
00:12:49,960 –> 00:12:49,970
three or four seats in the Senate for

695
00:12:49,970 –> 00:12:52,480
three or four seats in the Senate for
the Republicans is a big deal and um I

696
00:12:52,480 –> 00:12:52,490
the Republicans is a big deal and um I

697
00:12:52,490 –> 00:12:54,340
the Republicans is a big deal and um I
think that’s what’s coming but you know

698
00:12:54,340 –> 00:12:54,350
think that’s what’s coming but you know

699
00:12:54,350 –> 00:12:56,920
think that’s what’s coming but you know
you mentioned how they get this list of

700
00:12:56,920 –> 00:12:56,930
you mentioned how they get this list of

701
00:12:56,930 –> 00:12:58,480
you mentioned how they get this list of
what they hate and they give these

702
00:12:58,480 –> 00:12:58,490
what they hate and they give these

703
00:12:58,490 –> 00:13:00,700
what they hate and they give these
evidences which are not true in fact

704
00:13:00,700 –> 00:13:00,710
evidences which are not true in fact

705
00:13:00,710 –> 00:13:02,260
evidences which are not true in fact
that is so can

706
00:13:02,260 –> 00:13:02,270
that is so can

707
00:13:02,270 –> 00:13:04,240
that is so can
assistant and I could I could give a

708
00:13:04,240 –> 00:13:04,250
assistant and I could I could give a

709
00:13:04,250 –> 00:13:06,820
assistant and I could I could give a
short list myself but I mean everything

710
00:13:06,820 –> 00:13:06,830
short list myself but I mean everything

711
00:13:06,830 –> 00:13:10,120
short list myself but I mean everything
from false editing of video showing how

712
00:13:10,120 –> 00:13:10,130
from false editing of video showing how

713
00:13:10,130 –> 00:13:12,750
from false editing of video showing how
president from feeds the fish in Japan

714
00:13:12,750 –> 00:13:12,760
president from feeds the fish in Japan

715
00:13:12,760 –> 00:13:16,060
president from feeds the fish in Japan
to using pictures from the Obama era of

716
00:13:16,060 –> 00:13:16,070
to using pictures from the Obama era of

717
00:13:16,070 –> 00:13:18,820
to using pictures from the Obama era of
how children were wrapped like big baked

718
00:13:18,820 –> 00:13:18,830
how children were wrapped like big baked

719
00:13:18,830 –> 00:13:22,660
how children were wrapped like big baked
potatoes and silver blankets in sort of

720
00:13:22,660 –> 00:13:22,670
potatoes and silver blankets in sort of

721
00:13:22,670 –> 00:13:24,340
potatoes and silver blankets in sort of
a cagey type thing and again that’s from

722
00:13:24,340 –> 00:13:24,350
a cagey type thing and again that’s from

723
00:13:24,350 –> 00:13:26,200
a cagey type thing and again that’s from
the Obama era but not that matters I’m

724
00:13:26,200 –> 00:13:26,210
the Obama era but not that matters I’m

725
00:13:26,210 –> 00:13:28,090
the Obama era but not that matters I’m
sure there’s an explanation even then

726
00:13:28,090 –> 00:13:28,100
sure there’s an explanation even then

727
00:13:28,100 –> 00:13:30,460
sure there’s an explanation even then
too so it almost doesn’t matter but the

728
00:13:30,460 –> 00:13:30,470
too so it almost doesn’t matter but the

729
00:13:30,470 –> 00:13:32,940
too so it almost doesn’t matter but the
fact is that there seems to be a policy

730
00:13:32,940 –> 00:13:32,950
fact is that there seems to be a policy

731
00:13:32,950 –> 00:13:37,320
fact is that there seems to be a policy
which is so consistent of creating false

732
00:13:37,320 –> 00:13:37,330
which is so consistent of creating false

733
00:13:37,330 –> 00:13:41,320
which is so consistent of creating false
false facts false news and then trying

734
00:13:41,320 –> 00:13:41,330
false facts false news and then trying

735
00:13:41,330 –> 00:13:44,500
false facts false news and then trying
to use it to whip up a profound and this

736
00:13:44,500 –> 00:13:44,510
to use it to whip up a profound and this

737
00:13:44,510 –> 00:13:47,110
to use it to whip up a profound and this
is hatred based on again come that

738
00:13:47,110 –> 00:13:47,120
is hatred based on again come that

739
00:13:47,120 –> 00:13:48,460
is hatred based on again come that
you’ve got to assume there’s some kind

740
00:13:48,460 –> 00:13:48,470
you’ve got to assume there’s some kind

741
00:13:48,470 –> 00:13:50,920
you’ve got to assume there’s some kind
of policy at work here you know it you

742
00:13:50,920 –> 00:13:50,930
of policy at work here you know it you

743
00:13:50,930 –> 00:13:52,030
of policy at work here you know it you
have to say there’s an editorial

744
00:13:52,030 –> 00:13:52,040
have to say there’s an editorial

745
00:13:52,040 –> 00:13:54,790
have to say there’s an editorial
decision that say CNN and some of these

746
00:13:54,790 –> 00:13:54,800
decision that say CNN and some of these

747
00:13:54,800 –> 00:13:56,800
decision that say CNN and some of these
other major news outlets that they’re

748
00:13:56,800 –> 00:13:56,810
other major news outlets that they’re

749
00:13:56,810 –> 00:13:58,840
other major news outlets that they’re
going to manufacture these things in for

750
00:13:58,840 –> 00:13:58,850
going to manufacture these things in for

751
00:13:58,850 –> 00:14:00,340
going to manufacture these things in for
the purpose of creating a trade

752
00:14:00,340 –> 00:14:00,350
the purpose of creating a trade

753
00:14:00,350 –> 00:14:01,930
the purpose of creating a trade
what’s this force it’s just because

754
00:14:01,930 –> 00:14:01,940
what’s this force it’s just because

755
00:14:01,940 –> 00:14:03,760
what’s this force it’s just because
they’re they’re trying to tap into five

756
00:14:03,760 –> 00:14:03,770
they’re they’re trying to tap into five

757
00:14:03,770 –> 00:14:05,950
they’re they’re trying to tap into five
or six percent of the news watching

758
00:14:05,950 –> 00:14:05,960
or six percent of the news watching

759
00:14:05,960 –> 00:14:08,110
or six percent of the news watching
public for advertising revenues I I

760
00:14:08,110 –> 00:14:08,120
public for advertising revenues I I

761
00:14:08,120 –> 00:14:09,910
public for advertising revenues I I
doubt these people buy the best in the

762
00:14:09,910 –> 00:14:09,920
doubt these people buy the best in the

763
00:14:09,920 –> 00:14:13,810
doubt these people buy the best in the
latest and greatest juicers yes on that

764
00:14:13,810 –> 00:14:13,820
latest and greatest juicers yes on that

765
00:14:13,820 –> 00:14:15,580
latest and greatest juicers yes on that
I mean yeah you’ve you’ve touched on a

766
00:14:15,580 –> 00:14:15,590
I mean yeah you’ve you’ve touched on a

767
00:14:15,590 –> 00:14:16,930
I mean yeah you’ve you’ve touched on a
number of different things but let me

768
00:14:16,930 –> 00:14:16,940
number of different things but let me

769
00:14:16,940 –> 00:14:19,540
number of different things but let me
focus on on one of those and yes I I

770
00:14:19,540 –> 00:14:19,550
focus on on one of those and yes I I

771
00:14:19,550 –> 00:14:21,640
focus on on one of those and yes I I
would again agree that you have an

772
00:14:21,640 –> 00:14:21,650
would again agree that you have an

773
00:14:21,650 –> 00:14:23,950
would again agree that you have an
overarching sort of policy or philosophy

774
00:14:23,950 –> 00:14:23,960
overarching sort of policy or philosophy

775
00:14:23,960 –> 00:14:26,770
overarching sort of policy or philosophy
that’s it that’s in action there and I

776
00:14:26,770 –> 00:14:26,780
that’s it that’s in action there and I

777
00:14:26,780 –> 00:14:28,360
that’s it that’s in action there and I
would I would bring the origin back

778
00:14:28,360 –> 00:14:28,370
would I would bring the origin back

779
00:14:28,370 –> 00:14:30,100
would I would bring the origin back
interestingly enough since we mention

780
00:14:30,100 –> 00:14:30,110
interestingly enough since we mention

781
00:14:30,110 –> 00:14:33,070
interestingly enough since we mention
Nazis earlier I think the master who

782
00:14:33,070 –> 00:14:33,080
Nazis earlier I think the master who

783
00:14:33,080 –> 00:14:35,290
Nazis earlier I think the master who
created most of that was Joseph Goebbels

784
00:14:35,290 –> 00:14:35,300
created most of that was Joseph Goebbels

785
00:14:35,300 –> 00:14:38,680
created most of that was Joseph Goebbels
and uh you know essentially he was the

786
00:14:38,680 –> 00:14:38,690
and uh you know essentially he was the

787
00:14:38,690 –> 00:14:40,360
and uh you know essentially he was the
one that was make enough smoke and

788
00:14:40,360 –> 00:14:40,370
one that was make enough smoke and

789
00:14:40,370 –> 00:14:41,650
one that was make enough smoke and
people are going to assume there’s fire

790
00:14:41,650 –> 00:14:41,660
people are going to assume there’s fire

791
00:14:41,660 –> 00:14:43,990
people are going to assume there’s fire
and I think that’s been the policy of

792
00:14:43,990 –> 00:14:44,000
and I think that’s been the policy of

793
00:14:44,000 –> 00:14:46,150
and I think that’s been the policy of
the left since the Nazis which of course

794
00:14:46,150 –> 00:14:46,160
the left since the Nazis which of course

795
00:14:46,160 –> 00:14:48,850
the left since the Nazis which of course
that’s one of my Mike something I like

796
00:14:48,850 –> 00:14:48,860
that’s one of my Mike something I like

797
00:14:48,860 –> 00:14:50,410
that’s one of my Mike something I like
to joke up about because people are

798
00:14:50,410 –> 00:14:50,420
to joke up about because people are

799
00:14:50,420 –> 00:14:52,090
to joke up about because people are
always saying oh you know the the Nazis

800
00:14:52,090 –> 00:14:52,100
always saying oh you know the the Nazis

801
00:14:52,100 –> 00:14:54,040
always saying oh you know the the Nazis
were right-wing well the National

802
00:14:54,040 –> 00:14:54,050
were right-wing well the National

803
00:14:54,050 –> 00:14:58,020
were right-wing well the National
Socialist German Workers Party was no

804
00:14:58,020 –> 00:14:58,030
Socialist German Workers Party was no

805
00:14:58,030 –> 00:14:59,890
Socialist German Workers Party was no
conservative movement for small

806
00:14:59,890 –> 00:14:59,900
conservative movement for small

807
00:14:59,900 –> 00:15:01,660
conservative movement for small
government and limited government it was

808
00:15:01,660 –> 00:15:01,670
government and limited government it was

809
00:15:01,670 –> 00:15:04,120
government and limited government it was
a there was a party that took control of

810
00:15:04,120 –> 00:15:04,130
a there was a party that took control of

811
00:15:04,130 –> 00:15:05,800
a there was a party that took control of
everything in all government including

812
00:15:05,800 –> 00:15:05,810
everything in all government including

813
00:15:05,810 –> 00:15:07,710
everything in all government including
all people belong to it so it’s

814
00:15:07,710 –> 00:15:07,720
all people belong to it so it’s

815
00:15:07,720 –> 00:15:10,390
all people belong to it so it’s
precisely the opposite of conservatism

816
00:15:10,390 –> 00:15:10,400
precisely the opposite of conservatism

817
00:15:10,400 –> 00:15:12,400
precisely the opposite of conservatism
it was a socialist movement now actually

818
00:15:12,400 –> 00:15:12,410
it was a socialist movement now actually

819
00:15:12,410 –> 00:15:14,290
it was a socialist movement now actually
Joe just to throw a quick

820
00:15:14,290 –> 00:15:14,300
Joe just to throw a quick

821
00:15:14,300 –> 00:15:17,530
Joe just to throw a quick
on that fire Goebbels of own book which

822
00:15:17,530 –> 00:15:17,540
on that fire Goebbels of own book which

823
00:15:17,540 –> 00:15:21,310
on that fire Goebbels of own book which
made it to 17 editions raged against

824
00:15:21,310 –> 00:15:21,320
made it to 17 editions raged against

825
00:15:21,320 –> 00:15:24,160
made it to 17 editions raged against
capitalism and hated money and he said

826
00:15:24,160 –> 00:15:24,170
capitalism and hated money and he said

827
00:15:24,170 –> 00:15:27,370
capitalism and hated money and he said
money is Mammon and he dedicated a lot

828
00:15:27,370 –> 00:15:27,380
money is Mammon and he dedicated a lot

829
00:15:27,380 –> 00:15:30,280
money is Mammon and he dedicated a lot
of vitriol in his book toward hatred of

830
00:15:30,280 –> 00:15:30,290
of vitriol in his book toward hatred of

831
00:15:30,290 –> 00:15:32,440
of vitriol in his book toward hatred of
capitalism specifically and it was

832
00:15:32,440 –> 00:15:32,450
capitalism specifically and it was

833
00:15:32,450 –> 00:15:36,130
capitalism specifically and it was
entirely using Marxist terms of it was

834
00:15:36,130 –> 00:15:36,140
entirely using Marxist terms of it was

835
00:15:36,140 –> 00:15:39,000
entirely using Marxist terms of it was
and it was not in Marxist theory so yeah

836
00:15:39,000 –> 00:15:39,010
and it was not in Marxist theory so yeah

837
00:15:39,010 –> 00:15:42,160
and it was not in Marxist theory so yeah
no question I thought that the the

838
00:15:42,160 –> 00:15:42,170
no question I thought that the the

839
00:15:42,170 –> 00:15:45,550
no question I thought that the the
people who always try I blame the right

840
00:15:45,550 –> 00:15:45,560
people who always try I blame the right

841
00:15:45,560 –> 00:15:47,170
people who always try I blame the right
for the Nazis are just you know it’s

842
00:15:47,170 –> 00:15:47,180
for the Nazis are just you know it’s

843
00:15:47,180 –> 00:15:49,150
for the Nazis are just you know it’s
completely devoid of facts I mean and

844
00:15:49,150 –> 00:15:49,160
completely devoid of facts I mean and

845
00:15:49,160 –> 00:15:50,920
completely devoid of facts I mean and
it’s hard to have those sorts of

846
00:15:50,920 –> 00:15:50,930
it’s hard to have those sorts of

847
00:15:50,930 –> 00:15:52,120
it’s hard to have those sorts of
discussions when you’ve got somebody

848
00:15:52,120 –> 00:15:52,130
discussions when you’ve got somebody

849
00:15:52,130 –> 00:15:55,300
discussions when you’ve got somebody
talking about you know Peter Pan as if

850
00:15:55,300 –> 00:15:55,310
talking about you know Peter Pan as if

851
00:15:55,310 –> 00:15:59,440
talking about you know Peter Pan as if
he’s real how do you are all right just

852
00:15:59,440 –> 00:15:59,450
he’s real how do you are all right just

853
00:15:59,450 –> 00:16:01,150
he’s real how do you are all right just
that’s just simply so unrealistic it’s

854
00:16:01,150 –> 00:16:01,160
that’s just simply so unrealistic it’s

855
00:16:01,160 –> 00:16:02,530
that’s just simply so unrealistic it’s
hard to know what to say to it but I

856
00:16:02,530 –> 00:16:02,540
hard to know what to say to it but I

857
00:16:02,540 –> 00:16:04,330
hard to know what to say to it but I
joke about just point out the name that

858
00:16:04,330 –> 00:16:04,340
joke about just point out the name that

859
00:16:04,340 –> 00:16:07,240
joke about just point out the name that
you know Nazi stood for Socialist German

860
00:16:07,240 –> 00:16:07,250
you know Nazi stood for Socialist German

861
00:16:07,250 –> 00:16:08,830
you know Nazi stood for Socialist German
Workers Party I mean how do you call

862
00:16:08,830 –> 00:16:08,840
Workers Party I mean how do you call

863
00:16:08,840 –> 00:16:10,330
Workers Party I mean how do you call
that a conservative moment when they’re

864
00:16:10,330 –> 00:16:10,340
that a conservative moment when they’re

865
00:16:10,340 –> 00:16:11,620
that a conservative moment when they’re
in their name they have the words

866
00:16:11,620 –> 00:16:11,630
in their name they have the words

867
00:16:11,630 –> 00:16:14,200
in their name they have the words
socialist and Workers Party I had any

868
00:16:14,200 –> 00:16:14,210
socialist and Workers Party I had any

869
00:16:14,210 –> 00:16:16,600
socialist and Workers Party I had any
rate I think that that basically the way

870
00:16:16,600 –> 00:16:16,610
rate I think that that basically the way

871
00:16:16,610 –> 00:16:18,340
rate I think that that basically the way
that that philosophy is and certainly

872
00:16:18,340 –> 00:16:18,350
that that philosophy is and certainly

873
00:16:18,350 –> 00:16:20,350
that that philosophy is and certainly
you saw it even in the writings of Karl

874
00:16:20,350 –> 00:16:20,360
you saw it even in the writings of Karl

875
00:16:20,360 –> 00:16:23,140
you saw it even in the writings of Karl
Marx it’s it’s backwards thinking to

876
00:16:23,140 –> 00:16:23,150
Marx it’s it’s backwards thinking to

877
00:16:23,150 –> 00:16:26,290
Marx it’s it’s backwards thinking to
what normal English do a normal person

878
00:16:26,290 –> 00:16:26,300
what normal English do a normal person

879
00:16:26,300 –> 00:16:29,850
what normal English do a normal person
and whether you do is of course you

880
00:16:29,850 –> 00:16:29,860
and whether you do is of course you

881
00:16:29,860 –> 00:16:31,930
and whether you do is of course you
conclusion and then you start

882
00:16:31,930 –> 00:16:31,940
conclusion and then you start

883
00:16:31,940 –> 00:16:33,910
conclusion and then you start
backtracking to finding facts that fit

884
00:16:33,910 –> 00:16:33,920
backtracking to finding facts that fit

885
00:16:33,920 –> 00:16:35,950
backtracking to finding facts that fit
that conclusion and in the media today

886
00:16:35,950 –> 00:16:35,960
that conclusion and in the media today

887
00:16:35,960 –> 00:16:37,420
that conclusion and in the media today
that’s a hundred percent of what they

888
00:16:37,420 –> 00:16:37,430
that’s a hundred percent of what they

889
00:16:37,430 –> 00:16:39,190
that’s a hundred percent of what they
report they’ve got their conclusion and

890
00:16:39,190 –> 00:16:39,200
report they’ve got their conclusion and

891
00:16:39,200 –> 00:16:40,360
report they’ve got their conclusion and
now they’re just looking for any data

892
00:16:40,360 –> 00:16:40,370
now they’re just looking for any data

893
00:16:40,370 –> 00:16:41,830
now they’re just looking for any data
point that fits that conclusion and

894
00:16:41,830 –> 00:16:41,840
point that fits that conclusion and

895
00:16:41,840 –> 00:16:43,060
point that fits that conclusion and
that’s the only thing that they’re a

896
00:16:43,060 –> 00:16:43,070
that’s the only thing that they’re a

897
00:16:43,070 –> 00:16:45,220
that’s the only thing that they’re a
report it’s often called you know

898
00:16:45,220 –> 00:16:45,230
report it’s often called you know

899
00:16:45,230 –> 00:16:48,670
report it’s often called you know
reporting through a prism it but it’s

900
00:16:48,670 –> 00:16:48,680
reporting through a prism it but it’s

901
00:16:48,680 –> 00:16:51,430
reporting through a prism it but it’s
it’s Marxism its what a Joseph Goebbels

902
00:16:51,430 –> 00:16:51,440
it’s Marxism its what a Joseph Goebbels

903
00:16:51,440 –> 00:16:53,410
it’s Marxism its what a Joseph Goebbels
did it’s what the left always does

904
00:16:53,410 –> 00:16:53,420
did it’s what the left always does

905
00:16:53,420 –> 00:16:56,350
did it’s what the left always does
because they’ve got a goal and and

906
00:16:56,350 –> 00:16:56,360
because they’ve got a goal and and

907
00:16:56,360 –> 00:16:58,090
because they’ve got a goal and and
reaching that goal is well it’s

908
00:16:58,090 –> 00:16:58,100
reaching that goal is well it’s

909
00:16:58,100 –> 00:16:59,950
reaching that goal is well it’s
important it doesn’t matter what you

910
00:16:59,950 –> 00:16:59,960
important it doesn’t matter what you

911
00:16:59,960 –> 00:17:02,140
important it doesn’t matter what you
have to do to get there so for the left

912
00:17:02,140 –> 00:17:02,150
have to do to get there so for the left

913
00:17:02,150 –> 00:17:03,940
have to do to get there so for the left
as we’ve kind of discussed before the

914
00:17:03,940 –> 00:17:03,950
as we’ve kind of discussed before the

915
00:17:03,950 –> 00:17:06,340
as we’ve kind of discussed before the
end is always justified by the justifies

916
00:17:06,340 –> 00:17:06,350
end is always justified by the justifies

917
00:17:06,350 –> 00:17:09,280
end is always justified by the justifies
the means and for conservative it does

918
00:17:09,280 –> 00:17:09,290
the means and for conservative it does

919
00:17:09,290 –> 00:17:11,320
the means and for conservative it does
not I mean both need to be justifiable

920
00:17:11,320 –> 00:17:11,330
not I mean both need to be justifiable

921
00:17:11,330 –> 00:17:13,090
not I mean both need to be justifiable
and I think it’s one of the basic

922
00:17:13,090 –> 00:17:13,100
and I think it’s one of the basic

923
00:17:13,100 –> 00:17:16,060
and I think it’s one of the basic
differences so just because you because

924
00:17:16,060 –> 00:17:16,070
differences so just because you because

925
00:17:16,070 –> 00:17:18,070
differences so just because you because
you come from that philosophy those are

926
00:17:18,070 –> 00:17:18,080
you come from that philosophy those are

927
00:17:18,080 –> 00:17:19,449
you come from that philosophy those are
the things you are going to implement

928
00:17:19,449 –> 00:17:19,459
the things you are going to implement

929
00:17:19,459 –> 00:17:22,390
the things you are going to implement
along your way I just Hillary Clinton is

930
00:17:22,390 –> 00:17:22,400
along your way I just Hillary Clinton is

931
00:17:22,400 –> 00:17:24,310
along your way I just Hillary Clinton is
such a great example of it because if

932
00:17:24,310 –> 00:17:24,320
such a great example of it because if

933
00:17:24,320 –> 00:17:25,540
such a great example of it because if
you go back and

934
00:17:25,540 –> 00:17:25,550
you go back and

935
00:17:25,550 –> 00:17:28,120
you go back and
okay her speeches and so on and when she

936
00:17:28,120 –> 00:17:28,130
okay her speeches and so on and when she

937
00:17:28,130 –> 00:17:30,880
okay her speeches and so on and when she
talks when she was first lady for

938
00:17:30,880 –> 00:17:30,890
talks when she was first lady for

939
00:17:30,890 –> 00:17:32,530
talks when she was first lady for
example one of the things that I always

940
00:17:32,530 –> 00:17:32,540
example one of the things that I always

941
00:17:32,540 –> 00:17:34,780
example one of the things that I always
remember often remember if she was

942
00:17:34,780 –> 00:17:34,790
remember often remember if she was

943
00:17:34,790 –> 00:17:36,549
remember often remember if she was
talking about where she was in the White

944
00:17:36,549 –> 00:17:36,559
talking about where she was in the White

945
00:17:36,559 –> 00:17:40,360
talking about where she was in the White
House and you know how the night before

946
00:17:40,360 –> 00:17:40,370
House and you know how the night before

947
00:17:40,370 –> 00:17:42,160
House and you know how the night before
she’d been in the kitchen at the White

948
00:17:42,160 –> 00:17:42,170
she’d been in the kitchen at the White

949
00:17:42,170 –> 00:17:43,870
she’d been in the kitchen at the White
House baking cookies with her daughter

950
00:17:43,870 –> 00:17:43,880
House baking cookies with her daughter

951
00:17:43,880 –> 00:17:47,169
House baking cookies with her daughter
who was course much younger then and and

952
00:17:47,169 –> 00:17:47,179
who was course much younger then and and

953
00:17:47,179 –> 00:17:48,520
who was course much younger then and and
they had this discussion and some

954
00:17:48,520 –> 00:17:48,530
they had this discussion and some

955
00:17:48,530 –> 00:17:50,200
they had this discussion and some
philosophical point out came out of it

956
00:17:50,200 –> 00:17:50,210
philosophical point out came out of it

957
00:17:50,210 –> 00:17:52,960
philosophical point out came out of it
that she she made during this speech now

958
00:17:52,960 –> 00:17:52,970
that she she made during this speech now

959
00:17:52,970 –> 00:17:54,700
that she she made during this speech now
the take home for me was their

960
00:17:54,700 –> 00:17:54,710
the take home for me was their

961
00:17:54,710 –> 00:17:56,500
the take home for me was their
philosophical point was nonsense but

962
00:17:56,500 –> 00:17:56,510
philosophical point was nonsense but

963
00:17:56,510 –> 00:17:58,419
philosophical point was nonsense but
what was interesting is immediately

964
00:17:58,419 –> 00:17:58,429
what was interesting is immediately

965
00:17:58,429 –> 00:17:59,980
what was interesting is immediately
after a lot of reporting came out saying

966
00:17:59,980 –> 00:17:59,990
after a lot of reporting came out saying

967
00:17:59,990 –> 00:18:01,030
after a lot of reporting came out saying
that Hillary Clinton didn’t even know

968
00:18:01,030 –> 00:18:01,040
that Hillary Clinton didn’t even know

969
00:18:01,040 –> 00:18:02,620
that Hillary Clinton didn’t even know
where the kitchen was in the White House

970
00:18:02,620 –> 00:18:02,630
where the kitchen was in the White House

971
00:18:02,630 –> 00:18:04,240
where the kitchen was in the White House
she’d never been in there had never

972
00:18:04,240 –> 00:18:04,250
she’d never been in there had never

973
00:18:04,250 –> 00:18:05,980
she’d never been in there had never
baked cookies in the White House so this

974
00:18:05,980 –> 00:18:05,990
baked cookies in the White House so this

975
00:18:05,990 –> 00:18:08,410
baked cookies in the White House so this
was behind the scenes too from people I

976
00:18:08,410 –> 00:18:08,420
was behind the scenes too from people I

977
00:18:08,420 –> 00:18:11,350
was behind the scenes too from people I
know out of that circle and so I mean it

978
00:18:11,350 –> 00:18:11,360
know out of that circle and so I mean it

979
00:18:11,360 –> 00:18:13,030
know out of that circle and so I mean it
was a false statement it was not untrue

980
00:18:13,030 –> 00:18:13,040
was a false statement it was not untrue

981
00:18:13,040 –> 00:18:14,440
was a false statement it was not untrue
that she’d been in the kitchen the night

982
00:18:14,440 –> 00:18:14,450
that she’d been in the kitchen the night

983
00:18:14,450 –> 00:18:15,820
that she’d been in the kitchen the night
before baking cookies with her daughter

984
00:18:15,820 –> 00:18:15,830
before baking cookies with her daughter

985
00:18:15,830 –> 00:18:17,770
before baking cookies with her daughter
all that was made up but it was

986
00:18:17,770 –> 00:18:17,780
all that was made up but it was

987
00:18:17,780 –> 00:18:20,740
all that was made up but it was
justifiable in her mind to create that

988
00:18:20,740 –> 00:18:20,750
justifiable in her mind to create that

989
00:18:20,750 –> 00:18:23,470
justifiable in her mind to create that
fiction because if it set the groundwork

990
00:18:23,470 –> 00:18:23,480
fiction because if it set the groundwork

991
00:18:23,480 –> 00:18:24,970
fiction because if it set the groundwork
for the point that she wanted to make

992
00:18:24,970 –> 00:18:24,980
for the point that she wanted to make

993
00:18:24,980 –> 00:18:27,190
for the point that she wanted to make
and so therefore it’s fully justifiable

994
00:18:27,190 –> 00:18:27,200
and so therefore it’s fully justifiable

995
00:18:27,200 –> 00:18:28,930
and so therefore it’s fully justifiable
and I think that just lays out

996
00:18:28,930 –> 00:18:28,940
and I think that just lays out

997
00:18:28,940 –> 00:18:30,790
and I think that just lays out
beautifully the difference it’s a it’s a

998
00:18:30,790 –> 00:18:30,800
beautifully the difference it’s a it’s a

999
00:18:30,800 –> 00:18:33,010
beautifully the difference it’s a it’s a
completely unimportant example whether

1000
00:18:33,010 –> 00:18:33,020
completely unimportant example whether

1001
00:18:33,020 –> 00:18:35,470
completely unimportant example whether
she baked you know I don’t care I you

1002
00:18:35,470 –> 00:18:35,480
she baked you know I don’t care I you

1003
00:18:35,480 –> 00:18:36,820
she baked you know I don’t care I you
know it doesn’t matter to me whether

1004
00:18:36,820 –> 00:18:36,830
know it doesn’t matter to me whether

1005
00:18:36,830 –> 00:18:38,500
know it doesn’t matter to me whether
it’s true or false but what’s what’s

1006
00:18:38,500 –> 00:18:38,510
it’s true or false but what’s what’s

1007
00:18:38,510 –> 00:18:40,840
it’s true or false but what’s what’s
important out of that is it being false

1008
00:18:40,840 –> 00:18:40,850
important out of that is it being false

1009
00:18:40,850 –> 00:18:43,090
important out of that is it being false
she used it anyway she used it in a

1010
00:18:43,090 –> 00:18:43,100
she used it anyway she used it in a

1011
00:18:43,100 –> 00:18:44,919
she used it anyway she used it in a
national speech because national speech

1012
00:18:44,919 –> 00:18:44,929
national speech because national speech

1013
00:18:44,929 –> 00:18:46,750
national speech because national speech
because it it set the groundwork for the

1014
00:18:46,750 –> 00:18:46,760
because it it set the groundwork for the

1015
00:18:46,760 –> 00:18:49,060
because it it set the groundwork for the
point that she wanted to make I made her

1016
00:18:49,060 –> 00:18:49,070
point that she wanted to make I made her

1017
00:18:49,070 –> 00:18:50,650
point that she wanted to make I made her
you know look good feel good that she’s

1018
00:18:50,650 –> 00:18:50,660
you know look good feel good that she’s

1019
00:18:50,660 –> 00:18:51,610
you know look good feel good that she’s
you know spending time with her daughter

1020
00:18:51,610 –> 00:18:51,620
you know spending time with her daughter

1021
00:18:51,620 –> 00:18:54,580
you know spending time with her daughter
baking cookies when she had not been so

1022
00:18:54,580 –> 00:18:54,590
baking cookies when she had not been so

1023
00:18:54,590 –> 00:18:56,860
baking cookies when she had not been so
I think that that just is a silly

1024
00:18:56,860 –> 00:18:56,870
I think that that just is a silly

1025
00:18:56,870 –> 00:18:58,600
I think that that just is a silly
example but it’s an example that carries

1026
00:18:58,600 –> 00:18:58,610
example but it’s an example that carries

1027
00:18:58,610 –> 00:19:00,640
example but it’s an example that carries
over everywhere you see it certainly in

1028
00:19:00,640 –> 00:19:00,650
over everywhere you see it certainly in

1029
00:19:00,650 –> 00:19:02,500
over everywhere you see it certainly in
the United States press most of European

1030
00:19:02,500 –> 00:19:02,510
the United States press most of European

1031
00:19:02,510 –> 00:19:04,660
the United States press most of European
press and so on and some of the things

1032
00:19:04,660 –> 00:19:04,670
press and so on and some of the things

1033
00:19:04,670 –> 00:19:07,600
press and so on and some of the things
that we see coming out of for example

1034
00:19:07,600 –> 00:19:07,610
that we see coming out of for example

1035
00:19:07,610 –> 00:19:09,400
that we see coming out of for example
this is something that’s being discussed

1036
00:19:09,400 –> 00:19:09,410
this is something that’s being discussed

1037
00:19:09,410 –> 00:19:11,440
this is something that’s being discussed
here in the United States they’re

1038
00:19:11,440 –> 00:19:11,450
here in the United States they’re

1039
00:19:11,450 –> 00:19:14,590
here in the United States they’re
talking about combining the Department

1040
00:19:14,590 –> 00:19:14,600
talking about combining the Department

1041
00:19:14,600 –> 00:19:16,380
talking about combining the Department
of Labor Department of Education and

1042
00:19:16,380 –> 00:19:16,390
of Labor Department of Education and

1043
00:19:16,390 –> 00:19:18,580
of Labor Department of Education and
they’re pointing out how well you know

1044
00:19:18,580 –> 00:19:18,590
they’re pointing out how well you know

1045
00:19:18,590 –> 00:19:20,490
they’re pointing out how well you know
this this then we sort of have outcomes

1046
00:19:20,490 –> 00:19:20,500
this this then we sort of have outcomes

1047
00:19:20,500 –> 00:19:23,080
this this then we sort of have outcomes
desired outcomes because we’re combining

1048
00:19:23,080 –> 00:19:23,090
desired outcomes because we’re combining

1049
00:19:23,090 –> 00:19:25,900
desired outcomes because we’re combining
the educate with the labor system so

1050
00:19:25,900 –> 00:19:25,910
the educate with the labor system so

1051
00:19:25,910 –> 00:19:29,110
the educate with the labor system so
that we that we get the dulse at the end

1052
00:19:29,110 –> 00:19:29,120
that we that we get the dulse at the end

1053
00:19:29,120 –> 00:19:31,210
that we that we get the dulse at the end
you know if we need 75 engineers in any

1054
00:19:31,210 –> 00:19:31,220
you know if we need 75 engineers in any

1055
00:19:31,220 –> 00:19:32,860
you know if we need 75 engineers in any
given year electrical engineers then

1056
00:19:32,860 –> 00:19:32,870
given year electrical engineers then

1057
00:19:32,870 –> 00:19:35,470
given year electrical engineers then
this system will produce it well you

1058
00:19:35,470 –> 00:19:35,480
this system will produce it well you

1059
00:19:35,480 –> 00:19:37,270
this system will produce it well you
know what they leave out is is that

1060
00:19:37,270 –> 00:19:37,280
know what they leave out is is that

1061
00:19:37,280 –> 00:19:39,340
know what they leave out is is that
that’s been tried that’s called central

1062
00:19:39,340 –> 00:19:39,350
that’s been tried that’s called central

1063
00:19:39,350 –> 00:19:41,680
that’s been tried that’s called central
planning and five-year plans although

1064
00:19:41,680 –> 00:19:41,690
planning and five-year plans although

1065
00:19:41,690 –> 00:19:43,330
planning and five-year plans although
this in this case they’re suggesting a

1066
00:19:43,330 –> 00:19:43,340
this in this case they’re suggesting a

1067
00:19:43,340 –> 00:19:46,180
this in this case they’re suggesting a
junior plan so Union did that and it was

1068
00:19:46,180 –> 00:19:46,190
junior plan so Union did that and it was

1069
00:19:46,190 –> 00:19:48,430
junior plan so Union did that and it was
a horrendous failure and they leave out

1070
00:19:48,430 –> 00:19:48,440
a horrendous failure and they leave out

1071
00:19:48,440 –> 00:19:50,980
a horrendous failure and they leave out
a lot of important facts like you know

1072
00:19:50,980 –> 00:19:50,990
a lot of important facts like you know

1073
00:19:50,990 –> 00:19:53,410
a lot of important facts like you know
the the the way the system then is set

1074
00:19:53,410 –> 00:19:53,420
the the the way the system then is set

1075
00:19:53,420 –> 00:19:55,810
the the the way the system then is set
up is you you go from first to eighth

1076
00:19:55,810 –> 00:19:55,820
up is you you go from first to eighth

1077
00:19:55,820 –> 00:19:58,180
up is you you go from first to eighth
grade and then in eighth grade you take

1078
00:19:58,180 –> 00:19:58,190
grade and then in eighth grade you take

1079
00:19:58,190 –> 00:19:59,920
grade and then in eighth grade you take
a bunch of tests to see if you can go on

1080
00:19:59,920 –> 00:19:59,930
a bunch of tests to see if you can go on

1081
00:19:59,930 –> 00:20:01,750
a bunch of tests to see if you can go on
to certain high schools and only certain

1082
00:20:01,750 –> 00:20:01,760
to certain high schools and only certain

1083
00:20:01,760 –> 00:20:03,160
to certain high schools and only certain
high schools will be able to get you

1084
00:20:03,160 –> 00:20:03,170
high schools will be able to get you

1085
00:20:03,170 –> 00:20:04,570
high schools will be able to get you
into certain universities and career

1086
00:20:04,570 –> 00:20:04,580
into certain universities and career

1087
00:20:04,580 –> 00:20:08,380
into certain universities and career
paths so in order to fit that track

1088
00:20:08,380 –> 00:20:08,390
paths so in order to fit that track

1089
00:20:08,390 –> 00:20:10,150
paths so in order to fit that track
that’s all chosen by the government you

1090
00:20:10,150 –> 00:20:10,160
that’s all chosen by the government you

1091
00:20:10,160 –> 00:20:11,800
that’s all chosen by the government you
have to pass the test the way they say

1092
00:20:11,800 –> 00:20:11,810
have to pass the test the way they say

1093
00:20:11,810 –> 00:20:13,120
have to pass the test the way they say
and they have to accept you into that

1094
00:20:13,120 –> 00:20:13,130
and they have to accept you into that

1095
00:20:13,130 –> 00:20:14,620
and they have to accept you into that
high school if you don’t get into that

1096
00:20:14,620 –> 00:20:14,630
high school if you don’t get into that

1097
00:20:14,630 –> 00:20:16,060
high school if you don’t get into that
high school you’re not you don’t have

1098
00:20:16,060 –> 00:20:16,070
high school you’re not you don’t have

1099
00:20:16,070 –> 00:20:18,190
high school you’re not you don’t have
you cannot even apply for the university

1100
00:20:18,190 –> 00:20:18,200
you cannot even apply for the university

1101
00:20:18,200 –> 00:20:20,710
you cannot even apply for the university
that that you want so you’re what you

1102
00:20:20,710 –> 00:20:20,720
that that you want so you’re what you

1103
00:20:20,720 –> 00:20:23,170
that that you want so you’re what you
choose to do is irrelevant what you want

1104
00:20:23,170 –> 00:20:23,180
choose to do is irrelevant what you want

1105
00:20:23,180 –> 00:20:25,300
choose to do is irrelevant what you want
to do is irrelevant and of course what

1106
00:20:25,300 –> 00:20:25,310
to do is irrelevant and of course what

1107
00:20:25,310 –> 00:20:27,520
to do is irrelevant and of course what
does that system do it lends itself to

1108
00:20:27,520 –> 00:20:27,530
does that system do it lends itself to

1109
00:20:27,530 –> 00:20:29,590
does that system do it lends itself to
corruption which is immediately what

1110
00:20:29,590 –> 00:20:29,600
corruption which is immediately what

1111
00:20:29,600 –> 00:20:31,030
corruption which is immediately what
happened in the Soviet Union and there

1112
00:20:31,030 –> 00:20:31,040
happened in the Soviet Union and there

1113
00:20:31,040 –> 00:20:33,190
happened in the Soviet Union and there
was back in the day a lot of talk about

1114
00:20:33,190 –> 00:20:33,200
was back in the day a lot of talk about

1115
00:20:33,200 –> 00:20:35,080
was back in the day a lot of talk about
the golden children and the golden

1116
00:20:35,080 –> 00:20:35,090
the golden children and the golden

1117
00:20:35,090 –> 00:20:36,700
the golden children and the golden
children were all the children of the

1118
00:20:36,700 –> 00:20:36,710
children were all the children of the

1119
00:20:36,710 –> 00:20:39,670
children were all the children of the
elites all the power party bosses out of

1120
00:20:39,670 –> 00:20:39,680
elites all the power party bosses out of

1121
00:20:39,680 –> 00:20:41,830
elites all the power party bosses out of
the Soviet Union and those children went

1122
00:20:41,830 –> 00:20:41,840
the Soviet Union and those children went

1123
00:20:41,840 –> 00:20:43,240
the Soviet Union and those children went
to whenever whatever university they

1124
00:20:43,240 –> 00:20:43,250
to whenever whatever university they

1125
00:20:43,250 –> 00:20:46,900
to whenever whatever university they
wanted to in fact there was so much

1126
00:20:46,900 –> 00:20:46,910
wanted to in fact there was so much

1127
00:20:46,910 –> 00:20:49,870
wanted to in fact there was so much
power and corruption in that system that

1128
00:20:49,870 –> 00:20:49,880
power and corruption in that system that

1129
00:20:49,880 –> 00:20:51,250
power and corruption in that system that
those students the professors in

1130
00:20:51,250 –> 00:20:51,260
those students the professors in

1131
00:20:51,260 –> 00:20:53,350
those students the professors in
universities and so on couldn’t even

1132
00:20:53,350 –> 00:20:53,360
universities and so on couldn’t even

1133
00:20:53,360 –> 00:20:56,230
universities and so on couldn’t even
give a bad grade to those kids they all

1134
00:20:56,230 –> 00:20:56,240
give a bad grade to those kids they all

1135
00:20:56,240 –> 00:20:57,550
give a bad grade to those kids they all
had to grow they all graduated with

1136
00:20:57,550 –> 00:20:57,560
had to grow they all graduated with

1137
00:20:57,560 –> 00:20:58,300
had to grow they all graduated with
straight A’s

1138
00:20:58,300 –> 00:20:58,310
straight A’s

1139
00:20:58,310 –> 00:21:00,340
straight A’s
so in and now in the university system

1140
00:21:00,340 –> 00:21:00,350
so in and now in the university system

1141
00:21:00,350 –> 00:21:01,750
so in and now in the university system
there’s always a limit to the number of

1142
00:21:01,750 –> 00:21:01,760
there’s always a limit to the number of

1143
00:21:01,760 –> 00:21:04,240
there’s always a limit to the number of
A’s you could get in in Eastern Europe

1144
00:21:04,240 –> 00:21:04,250
A’s you could get in in Eastern Europe

1145
00:21:04,250 –> 00:21:06,730
A’s you could get in in Eastern Europe
Europe they you’re graded on 1 through

1146
00:21:06,730 –> 00:21:06,740
Europe they you’re graded on 1 through

1147
00:21:06,740 –> 00:21:09,160
Europe they you’re graded on 1 through
10 so the 10 was the perfect score an A

1148
00:21:09,160 –> 00:21:09,170
10 so the 10 was the perfect score an A

1149
00:21:09,170 –> 00:21:12,370
10 so the 10 was the perfect score an A
and basically all the tens were reserved

1150
00:21:12,370 –> 00:21:12,380
and basically all the tens were reserved

1151
00:21:12,380 –> 00:21:15,970
and basically all the tens were reserved
for party elites and you you knew who

1152
00:21:15,970 –> 00:21:15,980
for party elites and you you knew who

1153
00:21:15,980 –> 00:21:17,830
for party elites and you you knew who
the good students were because they were

1154
00:21:17,830 –> 00:21:17,840
the good students were because they were

1155
00:21:17,840 –> 00:21:19,960
the good students were because they were
the ones that got the nines you either

1156
00:21:19,960 –> 00:21:19,970
the ones that got the nines you either

1157
00:21:19,970 –> 00:21:21,490
the ones that got the nines you either
paid a bribe or you were a party elite

1158
00:21:21,490 –> 00:21:21,500
paid a bribe or you were a party elite

1159
00:21:21,500 –> 00:21:24,250
paid a bribe or you were a party elite
to get a ten and and and nobody who’s

1160
00:21:24,250 –> 00:21:24,260
to get a ten and and and nobody who’s

1161
00:21:24,260 –> 00:21:27,880
to get a ten and and and nobody who’s
good got tens only the good student the

1162
00:21:27,880 –> 00:21:27,890
good got tens only the good student the

1163
00:21:27,890 –> 00:21:29,560
good got tens only the good student the
all the good students got nines and so

1164
00:21:29,560 –> 00:21:29,570
all the good students got nines and so

1165
00:21:29,570 –> 00:21:31,060
all the good students got nines and so
you knew by looking at somebody’s report

1166
00:21:31,060 –> 00:21:31,070
you knew by looking at somebody’s report

1167
00:21:31,070 –> 00:21:32,710
you knew by looking at somebody’s report
card if they had all mines they were

1168
00:21:32,710 –> 00:21:32,720
card if they had all mines they were

1169
00:21:32,720 –> 00:21:34,270
card if they had all mines they were
brain they were actually the people who

1170
00:21:34,270 –> 00:21:34,280
brain they were actually the people who

1171
00:21:34,280 –> 00:21:36,400
brain they were actually the people who
could do the job and and understood what

1172
00:21:36,400 –> 00:21:36,410
could do the job and and understood what

1173
00:21:36,410 –> 00:21:38,260
could do the job and and understood what
to do and had a good education and all

1174
00:21:38,260 –> 00:21:38,270
to do and had a good education and all

1175
00:21:38,270 –> 00:21:39,940
to do and had a good education and all
of that and those are the people you

1176
00:21:39,940 –> 00:21:39,950
of that and those are the people you

1177
00:21:39,950 –> 00:21:42,910
of that and those are the people you
would draw from to do something the

1178
00:21:42,910 –> 00:21:42,920
would draw from to do something the

1179
00:21:42,920 –> 00:21:44,410
would draw from to do something the
whole system lends itself to corruption

1180
00:21:44,410 –> 00:21:44,420
whole system lends itself to corruption

1181
00:21:44,420 –> 00:21:45,790
whole system lends itself to corruption
and the fact that that would be

1182
00:21:45,790 –> 00:21:45,800
and the fact that that would be

1183
00:21:45,800 –> 00:21:48,220
and the fact that that would be
discussed in a trump administration I

1184
00:21:48,220 –> 00:21:48,230
discussed in a trump administration I

1185
00:21:48,230 –> 00:21:50,890
discussed in a trump administration I
find appalling but in

1186
00:21:50,890 –> 00:21:50,900
find appalling but in

1187
00:21:50,900 –> 00:21:52,830
find appalling but in
being a non-politician I don’t think

1188
00:21:52,830 –> 00:21:52,840
being a non-politician I don’t think

1189
00:21:52,840 –> 00:21:55,390
being a non-politician I don’t think
Trump understands the implications of

1190
00:21:55,390 –> 00:21:55,400
Trump understands the implications of

1191
00:21:55,400 –> 00:21:57,310
Trump understands the implications of
these things yeah but by doing these

1192
00:21:57,310 –> 00:21:57,320
these things yeah but by doing these

1193
00:21:57,320 –> 00:21:59,950
these things yeah but by doing these
public discussions it causes these

1194
00:21:59,950 –> 00:21:59,960
public discussions it causes these

1195
00:21:59,960 –> 00:22:01,630
public discussions it causes these
little bits and pieces to come out and

1196
00:22:01,630 –> 00:22:01,640
little bits and pieces to come out and

1197
00:22:01,640 –> 00:22:04,540
little bits and pieces to come out and
it does get wider wider discussion you

1198
00:22:04,540 –> 00:22:04,550
it does get wider wider discussion you

1199
00:22:04,550 –> 00:22:05,920
it does get wider wider discussion you
know it’s funny there is there is an

1200
00:22:05,920 –> 00:22:05,930
know it’s funny there is there is an

1201
00:22:05,930 –> 00:22:09,700
know it’s funny there is there is an
analogy to be had for affirmative action

1202
00:22:09,700 –> 00:22:09,710
analogy to be had for affirmative action

1203
00:22:09,710 –> 00:22:13,360
analogy to be had for affirmative action
and I’m not gonna I don’t want to really

1204
00:22:13,360 –> 00:22:13,370
and I’m not gonna I don’t want to really

1205
00:22:13,370 –> 00:22:15,880
and I’m not gonna I don’t want to really
go much deeper into it but when I think

1206
00:22:15,880 –> 00:22:15,890
go much deeper into it but when I think

1207
00:22:15,890 –> 00:22:18,280
go much deeper into it but when I think
about that system of tens and nines and

1208
00:22:18,280 –> 00:22:18,290
about that system of tens and nines and

1209
00:22:18,290 –> 00:22:19,780
about that system of tens and nines and
how to determine who’s actually

1210
00:22:19,780 –> 00:22:19,790
how to determine who’s actually

1211
00:22:19,790 –> 00:22:21,790
how to determine who’s actually
competent who’s it who isn’t there’s a

1212
00:22:21,790 –> 00:22:21,800
competent who’s it who isn’t there’s a

1213
00:22:21,800 –> 00:22:23,260
competent who’s it who isn’t there’s a
similar system you can use when you’re

1214
00:22:23,260 –> 00:22:23,270
similar system you can use when you’re

1215
00:22:23,270 –> 00:22:24,549
similar system you can use when you’re
trying to figure out professionals

1216
00:22:24,549 –> 00:22:24,559
trying to figure out professionals

1217
00:22:24,559 –> 00:22:26,830
trying to figure out professionals
who’ve graduated from places in which

1218
00:22:26,830 –> 00:22:26,840
who’ve graduated from places in which

1219
00:22:26,840 –> 00:22:29,730
who’ve graduated from places in which
affirmative action is a strong

1220
00:22:29,730 –> 00:22:29,740
affirmative action is a strong

1221
00:22:29,740 –> 00:22:31,810
affirmative action is a strong
determinant of who gets in and who

1222
00:22:31,810 –> 00:22:31,820
determinant of who gets in and who

1223
00:22:31,820 –> 00:22:34,180
determinant of who gets in and who
graduates rather than merit which is

1224
00:22:34,180 –> 00:22:34,190
graduates rather than merit which is

1225
00:22:34,190 –> 00:22:36,490
graduates rather than merit which is
basically the same system you want to

1226
00:22:36,490 –> 00:22:36,500
basically the same system you want to

1227
00:22:36,500 –> 00:22:38,710
basically the same system you want to
abandon merit you end up having to use a

1228
00:22:38,710 –> 00:22:38,720
abandon merit you end up having to use a

1229
00:22:38,720 –> 00:22:41,110
abandon merit you end up having to use a
filter to determine who’s actually good

1230
00:22:41,110 –> 00:22:41,120
filter to determine who’s actually good

1231
00:22:41,120 –> 00:22:44,710
filter to determine who’s actually good
at their jobs it’s true and you see in

1232
00:22:44,710 –> 00:22:44,720
at their jobs it’s true and you see in

1233
00:22:44,720 –> 00:22:47,230
at their jobs it’s true and you see in
public jobs like policemen and firemen

1234
00:22:47,230 –> 00:22:47,240
public jobs like policemen and firemen

1235
00:22:47,240 –> 00:22:49,330
public jobs like policemen and firemen
and so on especially policemen excuse me

1236
00:22:49,330 –> 00:22:49,340
and so on especially policemen excuse me

1237
00:22:49,340 –> 00:22:51,490
and so on especially policemen excuse me
because the system is a point system and

1238
00:22:51,490 –> 00:22:51,500
because the system is a point system and

1239
00:22:51,500 –> 00:22:53,410
because the system is a point system and
you do so well on each thing and you get

1240
00:22:53,410 –> 00:22:53,420
you do so well on each thing and you get

1241
00:22:53,420 –> 00:22:55,150
you do so well on each thing and you get
this and so well on that there’s a

1242
00:22:55,150 –> 00:22:55,160
this and so well on that there’s a

1243
00:22:55,160 –> 00:22:56,770
this and so well on that there’s a
famous case I was a believed it was out

1244
00:22:56,770 –> 00:22:56,780
famous case I was a believed it was out

1245
00:22:56,780 –> 00:22:58,750
famous case I was a believed it was out
in Los Angeles that got a lot of

1246
00:22:58,750 –> 00:22:58,760
in Los Angeles that got a lot of

1247
00:22:58,760 –> 00:23:00,190
in Los Angeles that got a lot of
publicity oh I don’t know seven or eight

1248
00:23:00,190 –> 00:23:00,200
publicity oh I don’t know seven or eight

1249
00:23:00,200 –> 00:23:02,980
publicity oh I don’t know seven or eight
years ago because the black police

1250
00:23:02,980 –> 00:23:02,990
years ago because the black police

1251
00:23:02,990 –> 00:23:05,230
years ago because the black police
officers they had to lower the the grade

1252
00:23:05,230 –> 00:23:05,240
officers they had to lower the the grade

1253
00:23:05,240 –> 00:23:07,060
officers they had to lower the the grade
in order to bring up enough recruits out

1254
00:23:07,060 –> 00:23:07,070
in order to bring up enough recruits out

1255
00:23:07,070 –> 00:23:09,250
in order to bring up enough recruits out
of the black population to to make the

1256
00:23:09,250 –> 00:23:09,260
of the black population to to make the

1257
00:23:09,260 –> 00:23:13,000
of the black population to to make the
ranks of the police force work and don’t

1258
00:23:13,000 –> 00:23:13,010
ranks of the police force work and don’t

1259
00:23:13,010 –> 00:23:14,440
ranks of the police force work and don’t
hold me to the numbers but the white

1260
00:23:14,440 –> 00:23:14,450
hold me to the numbers but the white

1261
00:23:14,450 –> 00:23:17,350
hold me to the numbers but the white
police officers were held to a 97

1262
00:23:17,350 –> 00:23:17,360
police officers were held to a 97

1263
00:23:17,360 –> 00:23:19,930
police officers were held to a 97
percent standard they had to do a 97 or

1264
00:23:19,930 –> 00:23:19,940
percent standard they had to do a 97 or

1265
00:23:19,940 –> 00:23:21,460
percent standard they had to do a 97 or
better on the test to qualify to be

1266
00:23:21,460 –> 00:23:21,470
better on the test to qualify to be

1267
00:23:21,470 –> 00:23:23,799
better on the test to qualify to be
hired where the black candidates were

1268
00:23:23,799 –> 00:23:23,809
hired where the black candidates were

1269
00:23:23,809 –> 00:23:25,270
hired where the black candidates were
somewhere in the 80s and that was

1270
00:23:25,270 –> 00:23:25,280
somewhere in the 80s and that was

1271
00:23:25,280 –> 00:23:26,919
somewhere in the 80s and that was
because of the affirmative action and so

1272
00:23:26,919 –> 00:23:26,929
because of the affirmative action and so

1273
00:23:26,929 –> 00:23:28,960
because of the affirmative action and so
on now the argument of course to defend

1274
00:23:28,960 –> 00:23:28,970
on now the argument of course to defend

1275
00:23:28,970 –> 00:23:31,210
on now the argument of course to defend
that is that the blacks were given fewer

1276
00:23:31,210 –> 00:23:31,220
that is that the blacks were given fewer

1277
00:23:31,220 –> 00:23:34,690
that is that the blacks were given fewer
opportunities to excel and so therefore

1278
00:23:34,690 –> 00:23:34,700
opportunities to excel and so therefore

1279
00:23:34,700 –> 00:23:36,549
opportunities to excel and so therefore
were disadvantaged and the reason they

1280
00:23:36,549 –> 00:23:36,559
were disadvantaged and the reason they

1281
00:23:36,559 –> 00:23:38,680
were disadvantaged and the reason they
did poorly on the test was because of

1282
00:23:38,680 –> 00:23:38,690
did poorly on the test was because of

1283
00:23:38,690 –> 00:23:40,600
did poorly on the test was because of
the disadvantage early on growing up and

1284
00:23:40,600 –> 00:23:40,610
the disadvantage early on growing up and

1285
00:23:40,610 –> 00:23:44,290
the disadvantage early on growing up and
so on but there may be some truth to

1286
00:23:44,290 –> 00:23:44,300
so on but there may be some truth to

1287
00:23:44,300 –> 00:23:45,390
so on but there may be some truth to
that but some of this also

1288
00:23:45,390 –> 00:23:45,400
that but some of this also

1289
00:23:45,400 –> 00:23:48,700
that but some of this also
self-inflicted there’s a studies done

1290
00:23:48,700 –> 00:23:48,710
self-inflicted there’s a studies done

1291
00:23:48,710 –> 00:23:51,160
self-inflicted there’s a studies done
that for black families at least in the

1292
00:23:51,160 –> 00:23:51,170
that for black families at least in the

1293
00:23:51,170 –> 00:23:54,100
that for black families at least in the
United States I think everyone would

1294
00:23:54,100 –> 00:23:54,110
United States I think everyone would

1295
00:23:54,110 –> 00:23:55,660
United States I think everyone would
agree an important part of education for

1296
00:23:55,660 –> 00:23:55,670
agree an important part of education for

1297
00:23:55,670 –> 00:23:57,970
agree an important part of education for
children are just having access to books

1298
00:23:57,970 –> 00:23:57,980
children are just having access to books

1299
00:23:57,980 –> 00:24:01,090
children are just having access to books
and so they looked at how many books per

1300
00:24:01,090 –> 00:24:01,100
and so they looked at how many books per

1301
00:24:01,100 –> 00:24:02,370
and so they looked at how many books per
child were in

1302
00:24:02,370 –> 00:24:02,380
child were in

1303
00:24:02,380 –> 00:24:04,920
child were in
whole compared the whites and the blacks

1304
00:24:04,920 –> 00:24:04,930
whole compared the whites and the blacks

1305
00:24:04,930 –> 00:24:07,110
whole compared the whites and the blacks
to see how the other number of books

1306
00:24:07,110 –> 00:24:07,120
to see how the other number of books

1307
00:24:07,120 –> 00:24:08,820
to see how the other number of books
stacked up within the household for

1308
00:24:08,820 –> 00:24:08,830
stacked up within the household for

1309
00:24:08,830 –> 00:24:11,250
stacked up within the household for
those children and on the on the black

1310
00:24:11,250 –> 00:24:11,260
those children and on the on the black

1311
00:24:11,260 –> 00:24:14,130
those children and on the on the black
families there were far fewer books and

1312
00:24:14,130 –> 00:24:14,140
families there were far fewer books and

1313
00:24:14,140 –> 00:24:17,220
families there were far fewer books and
in fact the children with the highest

1314
00:24:17,220 –> 00:24:17,230
in fact the children with the highest

1315
00:24:17,230 –> 00:24:19,440
in fact the children with the highest
number of books among the black families

1316
00:24:19,440 –> 00:24:19,450
number of books among the black families

1317
00:24:19,450 –> 00:24:22,800
number of books among the black families
were below the level of the lowest level

1318
00:24:22,800 –> 00:24:22,810
were below the level of the lowest level

1319
00:24:22,810 –> 00:24:24,810
were below the level of the lowest level
of the white families there’s just far

1320
00:24:24,810 –> 00:24:24,820
of the white families there’s just far

1321
00:24:24,820 –> 00:24:27,330
of the white families there’s just far
less focus on it within a you’d like to

1322
00:24:27,330 –> 00:24:27,340
less focus on it within a you’d like to

1323
00:24:27,340 –> 00:24:29,940
less focus on it within a you’d like to
call you know the a subculture I don’t

1324
00:24:29,940 –> 00:24:29,950
call you know the a subculture I don’t

1325
00:24:29,950 –> 00:24:31,920
call you know the a subculture I don’t
know how to phrase it precisely but

1326
00:24:31,920 –> 00:24:31,930
know how to phrase it precisely but

1327
00:24:31,930 –> 00:24:33,810
know how to phrase it precisely but
there’s just far less focus on the

1328
00:24:33,810 –> 00:24:33,820
there’s just far less focus on the

1329
00:24:33,820 –> 00:24:35,820
there’s just far less focus on the
academics and the books and early

1330
00:24:35,820 –> 00:24:35,830
academics and the books and early

1331
00:24:35,830 –> 00:24:37,470
academics and the books and early
reading and that sort of thing along

1332
00:24:37,470 –> 00:24:37,480
reading and that sort of thing along

1333
00:24:37,480 –> 00:24:42,000
reading and that sort of thing along
among a number of minority groups here

1334
00:24:42,000 –> 00:24:42,010
among a number of minority groups here

1335
00:24:42,010 –> 00:24:43,320
among a number of minority groups here
the United States at just this

1336
00:24:43,320 –> 00:24:43,330
the United States at just this

1337
00:24:43,330 –> 00:24:45,540
the United States at just this
particular test happened to be comparing

1338
00:24:45,540 –> 00:24:45,550
particular test happened to be comparing

1339
00:24:45,550 –> 00:24:48,000
particular test happened to be comparing
blacks and whites what strikes me that

1340
00:24:48,000 –> 00:24:48,010
blacks and whites what strikes me that

1341
00:24:48,010 –> 00:24:49,650
blacks and whites what strikes me that
you know perhaps that is something that

1342
00:24:49,650 –> 00:24:49,660
you know perhaps that is something that

1343
00:24:49,660 –> 00:24:52,470
you know perhaps that is something that
should also be addressed and providing

1344
00:24:52,470 –> 00:24:52,480
should also be addressed and providing

1345
00:24:52,480 –> 00:24:56,430
should also be addressed and providing
books to so on for the children to grow

1346
00:24:56,430 –> 00:24:56,440
books to so on for the children to grow

1347
00:24:56,440 –> 00:24:58,290
books to so on for the children to grow
up with and some might might be a great

1348
00:24:58,290 –> 00:24:58,300
up with and some might might be a great

1349
00:24:58,300 –> 00:25:00,090
up with and some might might be a great
program I don’t know but certainly at

1350
00:25:00,090 –> 00:25:00,100
program I don’t know but certainly at

1351
00:25:00,100 –> 00:25:02,760
program I don’t know but certainly at
the other end of it at some point giving

1352
00:25:02,760 –> 00:25:02,770
the other end of it at some point giving

1353
00:25:02,770 –> 00:25:04,710
the other end of it at some point giving
all the opportunities and not taking

1354
00:25:04,710 –> 00:25:04,720
all the opportunities and not taking

1355
00:25:04,720 –> 00:25:06,930
all the opportunities and not taking
advantage of those opportunities doesn’t

1356
00:25:06,930 –> 00:25:06,940
advantage of those opportunities doesn’t

1357
00:25:06,940 –> 00:25:08,820
advantage of those opportunities doesn’t
mean you should still have the outcome

1358
00:25:08,820 –> 00:25:08,830
mean you should still have the outcome

1359
00:25:08,830 –> 00:25:12,030
mean you should still have the outcome
as if you scored a 97 for example in the

1360
00:25:12,030 –> 00:25:12,040
as if you scored a 97 for example in the

1361
00:25:12,040 –> 00:25:12,930
as if you scored a 97 for example in the
success

1362
00:25:12,930 –> 00:25:12,940
success

1363
00:25:12,940 –> 00:25:15,180
success
so at some point that has to give you

1364
00:25:15,180 –> 00:25:15,190
so at some point that has to give you

1365
00:25:15,190 –> 00:25:17,370
so at some point that has to give you
either earn it and get it because you’ve

1366
00:25:17,370 –> 00:25:17,380
either earn it and get it because you’ve

1367
00:25:17,380 –> 00:25:19,500
either earn it and get it because you’ve
earned it or you don’t get it and you

1368
00:25:19,500 –> 00:25:19,510
earned it or you don’t get it and you

1369
00:25:19,510 –> 00:25:21,390
earned it or you don’t get it and you
yes and I think if you’re going to do

1370
00:25:21,390 –> 00:25:21,400
yes and I think if you’re going to do

1371
00:25:21,400 –> 00:25:23,220
yes and I think if you’re going to do
that with the books we should also be

1372
00:25:23,220 –> 00:25:23,230
that with the books we should also be

1373
00:25:23,230 –> 00:25:25,020
that with the books we should also be
having drives to give away footballs and

1374
00:25:25,020 –> 00:25:25,030
having drives to give away footballs and

1375
00:25:25,030 –> 00:25:26,730
having drives to give away footballs and
baseball bats to white families but

1376
00:25:26,730 –> 00:25:26,740
baseball bats to white families but

1377
00:25:26,740 –> 00:25:31,860
baseball bats to white families but
anyway okay by me yeah me too actually

1378
00:25:31,860 –> 00:25:31,870
anyway okay by me yeah me too actually

1379
00:25:31,870 –> 00:25:35,670
anyway okay by me yeah me too actually
so there was a another major issue that

1380
00:25:35,670 –> 00:25:35,680
so there was a another major issue that

1381
00:25:35,680 –> 00:25:39,600
so there was a another major issue that
you wanted to discuss well I did want to

1382
00:25:39,600 –> 00:25:39,610
you wanted to discuss well I did want to

1383
00:25:39,610 –> 00:25:40,770
you wanted to discuss well I did want to
bring up something else that’s been in

1384
00:25:40,770 –> 00:25:40,780
bring up something else that’s been in

1385
00:25:40,780 –> 00:25:44,130
bring up something else that’s been in
the lately was the IG report now it’s

1386
00:25:44,130 –> 00:25:44,140
the lately was the IG report now it’s

1387
00:25:44,140 –> 00:25:45,750
the lately was the IG report now it’s
been out for a few days at this point

1388
00:25:45,750 –> 00:25:45,760
been out for a few days at this point

1389
00:25:45,760 –> 00:25:47,880
been out for a few days at this point
and there’s been a lot of talk I mean

1390
00:25:47,880 –> 00:25:47,890
and there’s been a lot of talk I mean

1391
00:25:47,890 –> 00:25:50,130
and there’s been a lot of talk I mean
there’s absolute conclusive evidence and

1392
00:25:50,130 –> 00:25:50,140
there’s absolute conclusive evidence and

1393
00:25:50,140 –> 00:25:54,680
there’s absolute conclusive evidence and
proof that there’s a huge bias in the

1394
00:25:54,680 –> 00:25:54,690
proof that there’s a huge bias in the

1395
00:25:54,690 –> 00:25:57,750
proof that there’s a huge bias in the
Department of Justice DOJ and the FBI

1396
00:25:57,750 –> 00:25:57,760
Department of Justice DOJ and the FBI

1397
00:25:57,760 –> 00:26:00,870
Department of Justice DOJ and the FBI
Federal Bureau of Investigation and it’s

1398
00:26:00,870 –> 00:26:00,880
Federal Bureau of Investigation and it’s

1399
00:26:00,880 –> 00:26:02,970
Federal Bureau of Investigation and it’s
very clear it’s very well-established in

1400
00:26:02,970 –> 00:26:02,980
very clear it’s very well-established in

1401
00:26:02,980 –> 00:26:04,860
very clear it’s very well-established in
that but one of the things that’s been

1402
00:26:04,860 –> 00:26:04,870
that but one of the things that’s been

1403
00:26:04,870 –> 00:26:06,720
that but one of the things that’s been
completely bypassed the whole purpose of

1404
00:26:06,720 –> 00:26:06,730
completely bypassed the whole purpose of

1405
00:26:06,730 –> 00:26:09,980
completely bypassed the whole purpose of
this IG report was to look into the

1406
00:26:09,980 –> 00:26:09,990
this IG report was to look into the

1407
00:26:09,990 –> 00:26:13,470
this IG report was to look into the
Hillary Clinton scandal because of her

1408
00:26:13,470 –> 00:26:13,480
Hillary Clinton scandal because of her

1409
00:26:13,480 –> 00:26:15,090
Hillary Clinton scandal because of her
classified information

1410
00:26:15,090 –> 00:26:15,100
classified information

1411
00:26:15,100 –> 00:26:17,640
classified information
that was out on her private server and

1412
00:26:17,640 –> 00:26:17,650
that was out on her private server and

1413
00:26:17,650 –> 00:26:19,860
that was out on her private server and
then distributed out widely from there

1414
00:26:19,860 –> 00:26:19,870
then distributed out widely from there

1415
00:26:19,870 –> 00:26:23,690
then distributed out widely from there
and what they’ve left out of that is the

1416
00:26:23,690 –> 00:26:23,700
and what they’ve left out of that is the

1417
00:26:23,700 –> 00:26:26,909
and what they’ve left out of that is the
in the speech that coaming gave where he

1418
00:26:26,909 –> 00:26:26,919
in the speech that coaming gave where he

1419
00:26:26,919 –> 00:26:28,950
in the speech that coaming gave where he
basically said we’re not going to charge

1420
00:26:28,950 –> 00:26:28,960
basically said we’re not going to charge

1421
00:26:28,960 –> 00:26:31,230
basically said we’re not going to charge
Hillary Clinton he himself said that

1422
00:26:31,230 –> 00:26:31,240
Hillary Clinton he himself said that

1423
00:26:31,240 –> 00:26:33,840
Hillary Clinton he himself said that
there were 2,000 classified documents on

1424
00:26:33,840 –> 00:26:33,850
there were 2,000 classified documents on

1425
00:26:33,850 –> 00:26:35,940
there were 2,000 classified documents on
that laptop they found at Anthony

1426
00:26:35,940 –> 00:26:35,950
that laptop they found at Anthony

1427
00:26:35,950 –> 00:26:38,940
that laptop they found at Anthony
Anthony Weiner’s private laptop aka

1428
00:26:38,940 –> 00:26:38,950
Anthony Weiner’s private laptop aka

1429
00:26:38,950 –> 00:26:40,950
Anthony Weiner’s private laptop aka
Carlos danger for those of you know who

1430
00:26:40,950 –> 00:26:40,960
Carlos danger for those of you know who

1431
00:26:40,960 –> 00:26:44,789
Carlos danger for those of you know who
know and I like I like to call him

1432
00:26:44,789 –> 00:26:44,799
know and I like I like to call him

1433
00:26:44,799 –> 00:26:46,350
know and I like I like to call him
Carlos danger but any read Anthony

1434
00:26:46,350 –> 00:26:46,360
Carlos danger but any read Anthony

1435
00:26:46,360 –> 00:26:48,690
Carlos danger but any read Anthony
Weiner had 2,000 confirmed and probably

1436
00:26:48,690 –> 00:26:48,700
Weiner had 2,000 confirmed and probably

1437
00:26:48,700 –> 00:26:49,890
Weiner had 2,000 confirmed and probably
about another thousand that they

1438
00:26:49,890 –> 00:26:49,900
about another thousand that they

1439
00:26:49,900 –> 00:26:52,710
about another thousand that they
believed were various low of classified

1440
00:26:52,710 –> 00:26:52,720
believed were various low of classified

1441
00:26:52,720 –> 00:26:54,930
believed were various low of classified
now each one of those is a felony now

1442
00:26:54,930 –> 00:26:54,940
now each one of those is a felony now

1443
00:26:54,940 –> 00:26:57,570
now each one of those is a felony now
how can you claim not to be corrupt when

1444
00:26:57,570 –> 00:26:57,580
how can you claim not to be corrupt when

1445
00:26:57,580 –> 00:27:00,750
how can you claim not to be corrupt when
you let three thousand felonies just go

1446
00:27:00,750 –> 00:27:00,760
you let three thousand felonies just go

1447
00:27:00,760 –> 00:27:02,340
you let three thousand felonies just go
unnoticed and there nobody’s doing

1448
00:27:02,340 –> 00:27:02,350
unnoticed and there nobody’s doing

1449
00:27:02,350 –> 00:27:03,539
unnoticed and there nobody’s doing
anything about it there’s no case

1450
00:27:03,539 –> 00:27:03,549
anything about it there’s no case

1451
00:27:03,549 –> 00:27:06,330
anything about it there’s no case
anything and it’s it is the equivalent

1452
00:27:06,330 –> 00:27:06,340
anything and it’s it is the equivalent

1453
00:27:06,340 –> 00:27:09,750
anything and it’s it is the equivalent
of going into Anthony Weiner’s house

1454
00:27:09,750 –> 00:27:09,760
of going into Anthony Weiner’s house

1455
00:27:09,760 –> 00:27:12,270
of going into Anthony Weiner’s house
because the the defenses from the left

1456
00:27:12,270 –> 00:27:12,280
because the the defenses from the left

1457
00:27:12,280 –> 00:27:13,799
because the the defenses from the left
has been well there’s no smoking gun and

1458
00:27:13,799 –> 00:27:13,809
has been well there’s no smoking gun and

1459
00:27:13,809 –> 00:27:15,990
has been well there’s no smoking gun and
it’s the equivalent of walking into

1460
00:27:15,990 –> 00:27:16,000
it’s the equivalent of walking into

1461
00:27:16,000 –> 00:27:18,180
it’s the equivalent of walking into
Anthony Weiner’s house and finding a

1462
00:27:18,180 –> 00:27:18,190
Anthony Weiner’s house and finding a

1463
00:27:18,190 –> 00:27:20,159
Anthony Weiner’s house and finding a
dead body on the floor with a bullet

1464
00:27:20,159 –> 00:27:20,169
dead body on the floor with a bullet

1465
00:27:20,169 –> 00:27:23,850
dead body on the floor with a bullet
hole in the forehead all right now even

1466
00:27:23,850 –> 00:27:23,860
hole in the forehead all right now even

1467
00:27:23,860 –> 00:27:26,340
hole in the forehead all right now even
the dumbest of law enforcement guys is

1468
00:27:26,340 –> 00:27:26,350
the dumbest of law enforcement guys is

1469
00:27:26,350 –> 00:27:27,810
the dumbest of law enforcement guys is
gonna look at that go okay this guy got

1470
00:27:27,810 –> 00:27:27,820
gonna look at that go okay this guy got

1471
00:27:27,820 –> 00:27:28,289
gonna look at that go okay this guy got
killed

1472
00:27:28,289 –> 00:27:28,299
killed

1473
00:27:28,299 –> 00:27:31,710
killed
so somebody’s guilty of murder here now

1474
00:27:31,710 –> 00:27:31,720
so somebody’s guilty of murder here now

1475
00:27:31,720 –> 00:27:33,750
so somebody’s guilty of murder here now
we don’t know that Hillary Clinton was

1476
00:27:33,750 –> 00:27:33,760
we don’t know that Hillary Clinton was

1477
00:27:33,760 –> 00:27:35,460
we don’t know that Hillary Clinton was
the one that shot him okay that’s true

1478
00:27:35,460 –> 00:27:35,470
the one that shot him okay that’s true

1479
00:27:35,470 –> 00:27:37,710
the one that shot him okay that’s true
so there’s no smoking gun but you got

1480
00:27:37,710 –> 00:27:37,720
so there’s no smoking gun but you got

1481
00:27:37,720 –> 00:27:39,600
so there’s no smoking gun but you got
the dead body you know the crime took

1482
00:27:39,600 –> 00:27:39,610
the dead body you know the crime took

1483
00:27:39,610 –> 00:27:41,880
the dead body you know the crime took
place it’s the exact same thing with

1484
00:27:41,880 –> 00:27:41,890
place it’s the exact same thing with

1485
00:27:41,890 –> 00:27:44,970
place it’s the exact same thing with
3,000 classified documents on Anthony

1486
00:27:44,970 –> 00:27:44,980
3,000 classified documents on Anthony

1487
00:27:44,980 –> 00:27:46,770
3,000 classified documents on Anthony
Weiner’s computer at home that is

1488
00:27:46,770 –> 00:27:46,780
Weiner’s computer at home that is

1489
00:27:46,780 –> 00:27:49,200
Weiner’s computer at home that is
illegal those are each an individual

1490
00:27:49,200 –> 00:27:49,210
illegal those are each an individual

1491
00:27:49,210 –> 00:27:51,299
illegal those are each an individual
felony and he can be charged and

1492
00:27:51,299 –> 00:27:51,309
felony and he can be charged and

1493
00:27:51,309 –> 00:27:53,130
felony and he can be charged and
convicted of each of those individually

1494
00:27:53,130 –> 00:27:53,140
convicted of each of those individually

1495
00:27:53,140 –> 00:27:56,880
convicted of each of those individually
and the penalty you know the the time

1496
00:27:56,880 –> 00:27:56,890
and the penalty you know the the time

1497
00:27:56,890 –> 00:27:58,440
and the penalty you know the the time
you would have to serve stacked up so

1498
00:27:58,440 –> 00:27:58,450
you would have to serve stacked up so

1499
00:27:58,450 –> 00:28:00,299
you would have to serve stacked up so
even if they only gave him a year for

1500
00:28:00,299 –> 00:28:00,309
even if they only gave him a year for

1501
00:28:00,309 –> 00:28:02,669
even if they only gave him a year for
each one that’s 3,000 years and I

1502
00:28:02,669 –> 00:28:02,679
each one that’s 3,000 years and I

1503
00:28:02,679 –> 00:28:04,560
each one that’s 3,000 years and I
guarantee you mr. Carlos danger is gonna

1504
00:28:04,560 –> 00:28:04,570
guarantee you mr. Carlos danger is gonna

1505
00:28:04,570 –> 00:28:06,390
guarantee you mr. Carlos danger is gonna
sing like a canary and tell you

1506
00:28:06,390 –> 00:28:06,400
sing like a canary and tell you

1507
00:28:06,400 –> 00:28:07,860
sing like a canary and tell you
everything he knows about where those

1508
00:28:07,860 –> 00:28:07,870
everything he knows about where those

1509
00:28:07,870 –> 00:28:10,140
everything he knows about where those
classified documents came from so I mean

1510
00:28:10,140 –> 00:28:10,150
classified documents came from so I mean

1511
00:28:10,150 –> 00:28:12,120
classified documents came from so I mean
you go that’s how all I mean very

1512
00:28:12,120 –> 00:28:12,130
you go that’s how all I mean very

1513
00:28:12,130 –> 00:28:14,399
you go that’s how all I mean very
commonly law enforcement is done you you

1514
00:28:14,399 –> 00:28:14,409
commonly law enforcement is done you you

1515
00:28:14,409 –> 00:28:15,840
commonly law enforcement is done you you
know you arrest the first guy who you

1516
00:28:15,840 –> 00:28:15,850
know you arrest the first guy who you

1517
00:28:15,850 –> 00:28:17,730
know you arrest the first guy who you
catch with it and then you don’t go up

1518
00:28:17,730 –> 00:28:17,740
catch with it and then you don’t go up

1519
00:28:17,740 –> 00:28:19,710
catch with it and then you don’t go up
the ladder up the chain and see see

1520
00:28:19,710 –> 00:28:19,720
the ladder up the chain and see see

1521
00:28:19,720 –> 00:28:21,779
the ladder up the chain and see see
where it takes you is as to who called

1522
00:28:21,779 –> 00:28:21,789
where it takes you is as to who called

1523
00:28:21,789 –> 00:28:23,399
where it takes you is as to who called
the shots who made the decisions and so

1524
00:28:23,399 –> 00:28:23,409
the shots who made the decisions and so

1525
00:28:23,409 –> 00:28:27,470
the shots who made the decisions and so
on and so almost certainly

1526
00:28:27,470 –> 00:28:27,480
on and so almost certainly

1527
00:28:27,480 –> 00:28:30,710
on and so almost certainly
Huma Weiner his wife who worked for

1528
00:28:30,710 –> 00:28:30,720
Huma Weiner his wife who worked for

1529
00:28:30,720 –> 00:28:33,020
Huma Weiner his wife who worked for
Hillary Clinton those came out of her

1530
00:28:33,020 –> 00:28:33,030
Hillary Clinton those came out of her

1531
00:28:33,030 –> 00:28:34,790
Hillary Clinton those came out of her
computer so she’s got those on there too

1532
00:28:34,790 –> 00:28:34,800
computer so she’s got those on there too

1533
00:28:34,800 –> 00:28:37,930
computer so she’s got those on there too
and so that’s if they’re those same

1534
00:28:37,930 –> 00:28:37,940
and so that’s if they’re those same

1535
00:28:37,940 –> 00:28:43,540
and so that’s if they’re those same
excuse me if those are those same 3,000

1536
00:28:43,540 –> 00:28:43,550
excuse me if those are those same 3,000

1537
00:28:43,550 –> 00:28:46,460
excuse me if those are those same 3,000
classified documents that’s still 3,000

1538
00:28:46,460 –> 00:28:46,470
classified documents that’s still 3,000

1539
00:28:46,470 –> 00:28:48,830
classified documents that’s still 3,000
separate felonies that’s not one crime

1540
00:28:48,830 –> 00:28:48,840
separate felonies that’s not one crime

1541
00:28:48,840 –> 00:28:50,390
separate felonies that’s not one crime
those are each individual crimes they

1542
00:28:50,390 –> 00:28:50,400
those are each individual crimes they

1543
00:28:50,400 –> 00:28:53,090
those are each individual crimes they
each had them independently so even if

1544
00:28:53,090 –> 00:28:53,100
each had them independently so even if

1545
00:28:53,100 –> 00:28:54,530
each had them independently so even if
they’re copies it’s still independent

1546
00:28:54,530 –> 00:28:54,540
they’re copies it’s still independent

1547
00:28:54,540 –> 00:28:58,760
they’re copies it’s still independent
crimes now one other thing very

1548
00:28:58,760 –> 00:28:58,770
crimes now one other thing very

1549
00:28:58,770 –> 00:29:00,890
crimes now one other thing very
interesting that’s gotten zero publicity

1550
00:29:00,890 –> 00:29:00,900
interesting that’s gotten zero publicity

1551
00:29:00,900 –> 00:29:03,350
interesting that’s gotten zero publicity
no host no one has mentioned it and any

1552
00:29:03,350 –> 00:29:03,360
no host no one has mentioned it and any

1553
00:29:03,360 –> 00:29:06,710
no host no one has mentioned it and any
coverage the case agent who handled the

1554
00:29:06,710 –> 00:29:06,720
coverage the case agent who handled the

1555
00:29:06,720 –> 00:29:11,300
coverage the case agent who handled the
laptop for Anthony Weiner’s computer in

1556
00:29:11,300 –> 00:29:11,310
laptop for Anthony Weiner’s computer in

1557
00:29:11,310 –> 00:29:14,390
laptop for Anthony Weiner’s computer in
the IG report pulled the IG that he

1558
00:29:14,390 –> 00:29:14,400
the IG report pulled the IG that he

1559
00:29:14,400 –> 00:29:16,160
the IG report pulled the IG that he
became very concerned when he heard

1560
00:29:16,160 –> 00:29:16,170
became very concerned when he heard

1561
00:29:16,170 –> 00:29:19,310
became very concerned when he heard
James Comey talk about those two or

1562
00:29:19,310 –> 00:29:19,320
James Comey talk about those two or

1563
00:29:19,320 –> 00:29:21,950
James Comey talk about those two or
three thousand classified documents that

1564
00:29:21,950 –> 00:29:21,960
three thousand classified documents that

1565
00:29:21,960 –> 00:29:24,590
three thousand classified documents that
were on that computer because he said in

1566
00:29:24,590 –> 00:29:24,600
were on that computer because he said in

1567
00:29:24,600 –> 00:29:27,590
were on that computer because he said in
fact the number of classified documents

1568
00:29:27,590 –> 00:29:27,600
fact the number of classified documents

1569
00:29:27,600 –> 00:29:31,460
fact the number of classified documents
appeared to eclipse that tenfold so he’s

1570
00:29:31,460 –> 00:29:31,470
appeared to eclipse that tenfold so he’s

1571
00:29:31,470 –> 00:29:33,800
appeared to eclipse that tenfold so he’s
he’s saying the case agent who had the

1572
00:29:33,800 –> 00:29:33,810
he’s saying the case agent who had the

1573
00:29:33,810 –> 00:29:36,140
he’s saying the case agent who had the
computer is saying there were not two or

1574
00:29:36,140 –> 00:29:36,150
computer is saying there were not two or

1575
00:29:36,150 –> 00:29:38,180
computer is saying there were not two or
three thousand classified documents on

1576
00:29:38,180 –> 00:29:38,190
three thousand classified documents on

1577
00:29:38,190 –> 00:29:41,090
three thousand classified documents on
there there were 20 or 30,000 classified

1578
00:29:41,090 –> 00:29:41,100
there there were 20 or 30,000 classified

1579
00:29:41,100 –> 00:29:44,360
there there were 20 or 30,000 classified
documents on there now the crop honest

1580
00:29:44,360 –> 00:29:44,370
documents on there now the crop honest

1581
00:29:44,370 –> 00:29:46,550
documents on there now the crop honest
in place we all know it’s there and

1582
00:29:46,550 –> 00:29:46,560
in place we all know it’s there and

1583
00:29:46,560 –> 00:29:48,020
in place we all know it’s there and
nothing is being done

1584
00:29:48,020 –> 00:29:48,030
nothing is being done

1585
00:29:48,030 –> 00:29:53,630
nothing is being done
how can do Jay possibly defend not being

1586
00:29:53,630 –> 00:29:53,640
how can do Jay possibly defend not being

1587
00:29:53,640 –> 00:29:55,580
how can do Jay possibly defend not being
corrupt if they don’t go after that how

1588
00:29:55,580 –> 00:29:55,590
corrupt if they don’t go after that how

1589
00:29:55,590 –> 00:29:58,070
corrupt if they don’t go after that how
can the FBI defend not being corrupt if

1590
00:29:58,070 –> 00:29:58,080
can the FBI defend not being corrupt if

1591
00:29:58,080 –> 00:30:00,620
can the FBI defend not being corrupt if
they don’t go after that and Don dr.

1592
00:30:00,620 –> 00:30:00,630
they don’t go after that and Don dr.

1593
00:30:00,630 –> 00:30:03,260
they don’t go after that and Don dr.
leadership the working-level guys have

1594
00:30:03,260 –> 00:30:03,270
leadership the working-level guys have

1595
00:30:03,270 –> 00:30:04,490
leadership the working-level guys have
found all this they wanted to go after

1596
00:30:04,490 –> 00:30:04,500
found all this they wanted to go after

1597
00:30:04,500 –> 00:30:06,140
found all this they wanted to go after
it they knew what they had they knew as

1598
00:30:06,140 –> 00:30:06,150
it they knew what they had they knew as

1599
00:30:06,150 –> 00:30:08,450
it they knew what they had they knew as
a crime and it was at the leadership

1600
00:30:08,450 –> 00:30:08,460
a crime and it was at the leadership

1601
00:30:08,460 –> 00:30:10,940
a crime and it was at the leadership
level of DOJ and FBI that this was

1602
00:30:10,940 –> 00:30:10,950
level of DOJ and FBI that this was

1603
00:30:10,950 –> 00:30:12,770
level of DOJ and FBI that this was
covered up it’s clearly a cover-up

1604
00:30:12,770 –> 00:30:12,780
covered up it’s clearly a cover-up

1605
00:30:12,780 –> 00:30:16,640
covered up it’s clearly a cover-up
and I mean there’s no intent required

1606
00:30:16,640 –> 00:30:16,650
and I mean there’s no intent required

1607
00:30:16,650 –> 00:30:18,740
and I mean there’s no intent required
under the law that’s what Jim coming

1608
00:30:18,740 –> 00:30:18,750
under the law that’s what Jim coming

1609
00:30:18,750 –> 00:30:21,410
under the law that’s what Jim coming
described I mean excuse me yeah Jim come

1610
00:30:21,410 –> 00:30:21,420
described I mean excuse me yeah Jim come

1611
00:30:21,420 –> 00:30:22,760
described I mean excuse me yeah Jim come
he described when he talked about why he

1612
00:30:22,760 –> 00:30:22,770
he described when he talked about why he

1613
00:30:22,770 –> 00:30:24,050
he described when he talked about why he
wasn’t going to prosecute Hillary

1614
00:30:24,050 –> 00:30:24,060
wasn’t going to prosecute Hillary

1615
00:30:24,060 –> 00:30:26,060
wasn’t going to prosecute Hillary
because all you know she didn’t intend

1616
00:30:26,060 –> 00:30:26,070
because all you know she didn’t intend

1617
00:30:26,070 –> 00:30:26,870
because all you know she didn’t intend
to do anything wrong

1618
00:30:26,870 –> 00:30:26,880
to do anything wrong

1619
00:30:26,880 –> 00:30:29,000
to do anything wrong
what doesn’t matter you know going back

1620
00:30:29,000 –> 00:30:29,010
what doesn’t matter you know going back

1621
00:30:29,010 –> 00:30:32,210
what doesn’t matter you know going back
to the same comparison you shoot the guy

1622
00:30:32,210 –> 00:30:32,220
to the same comparison you shoot the guy

1623
00:30:32,220 –> 00:30:34,280
to the same comparison you shoot the guy
in the forehead and and he dies because

1624
00:30:34,280 –> 00:30:34,290
in the forehead and and he dies because

1625
00:30:34,290 –> 00:30:37,010
in the forehead and and he dies because
he’s got a bullet hole his brain you

1626
00:30:37,010 –> 00:30:37,020
he’s got a bullet hole his brain you

1627
00:30:37,020 –> 00:30:38,540
he’s got a bullet hole his brain you
know okay he didn’t mean to kill him but

1628
00:30:38,540 –> 00:30:38,550
know okay he didn’t mean to kill him but

1629
00:30:38,550 –> 00:30:39,860
know okay he didn’t mean to kill him but
he’s still dead you still that

1630
00:30:39,860 –> 00:30:39,870
he’s still dead you still that

1631
00:30:39,870 –> 00:30:42,200
he’s still dead you still that
still a crime you know so intent doesn’t

1632
00:30:42,200 –> 00:30:42,210
still a crime you know so intent doesn’t

1633
00:30:42,210 –> 00:30:44,450
still a crime you know so intent doesn’t
matter if you shot him you’re guilty of

1634
00:30:44,450 –> 00:30:44,460
matter if you shot him you’re guilty of

1635
00:30:44,460 –> 00:30:45,080
matter if you shot him you’re guilty of
something

1636
00:30:45,080 –> 00:30:45,090
something

1637
00:30:45,090 –> 00:30:47,060
something
well now we got German is it

1638
00:30:47,060 –> 00:30:47,070
well now we got German is it

1639
00:30:47,070 –> 00:30:49,040
well now we got German is it
premeditated is it manslaughter all of

1640
00:30:49,040 –> 00:30:49,050
premeditated is it manslaughter all of

1641
00:30:49,050 –> 00:30:50,630
premeditated is it manslaughter all of
those things but that’s precisely the

1642
00:30:50,630 –> 00:30:50,640
those things but that’s precisely the

1643
00:30:50,640 –> 00:30:52,490
those things but that’s precisely the
situation we find in ourselves the crime

1644
00:30:52,490 –> 00:30:52,500
situation we find in ourselves the crime

1645
00:30:52,500 –> 00:30:55,970
situation we find in ourselves the crime
is there we know it to place it there is

1646
00:30:55,970 –> 00:30:55,980
is there we know it to place it there is

1647
00:30:55,980 –> 00:30:57,620
is there we know it to place it there is
nothing else to call it but a cover-up

1648
00:30:57,620 –> 00:30:57,630
nothing else to call it but a cover-up

1649
00:30:57,630 –> 00:31:00,440
nothing else to call it but a cover-up
it’s just a cut nothing more it’sit’s a

1650
00:31:00,440 –> 00:31:00,450
it’s just a cut nothing more it’sit’s a

1651
00:31:00,450 –> 00:31:02,510
it’s just a cut nothing more it’sit’s a
cover-up because politically they didn’t

1652
00:31:02,510 –> 00:31:02,520
cover-up because politically they didn’t

1653
00:31:02,520 –> 00:31:04,790
cover-up because politically they didn’t
want to go after a Hillary Clinton and

1654
00:31:04,790 –> 00:31:04,800
want to go after a Hillary Clinton and

1655
00:31:04,800 –> 00:31:06,410
want to go after a Hillary Clinton and
politically they’re on the Left which is

1656
00:31:06,410 –> 00:31:06,420
politically they’re on the Left which is

1657
00:31:06,420 –> 00:31:08,960
politically they’re on the Left which is
clearly established in the IG report

1658
00:31:08,960 –> 00:31:08,970
clearly established in the IG report

1659
00:31:08,970 –> 00:31:11,270
clearly established in the IG report
that there’s a liberal bias out of there

1660
00:31:11,270 –> 00:31:11,280
that there’s a liberal bias out of there

1661
00:31:11,280 –> 00:31:13,669
that there’s a liberal bias out of there
so this is this is just crime being

1662
00:31:13,669 –> 00:31:13,679
so this is this is just crime being

1663
00:31:13,679 –> 00:31:15,890
so this is this is just crime being
covered up for political motives so I I

1664
00:31:15,890 –> 00:31:15,900
covered up for political motives so I I

1665
00:31:15,900 –> 00:31:17,450
covered up for political motives so I I
think that there needs to be a price

1666
00:31:17,450 –> 00:31:17,460
think that there needs to be a price

1667
00:31:17,460 –> 00:31:19,640
think that there needs to be a price
paid at DOJ and FBI and the leadership

1668
00:31:19,640 –> 00:31:19,650
paid at DOJ and FBI and the leadership

1669
00:31:19,650 –> 00:31:22,940
paid at DOJ and FBI and the leadership
levels and a lot of those guys need to

1670
00:31:22,940 –> 00:31:22,950
levels and a lot of those guys need to

1671
00:31:22,950 –> 00:31:24,530
levels and a lot of those guys need to
be fired so far there’s only been one

1672
00:31:24,530 –> 00:31:24,540
be fired so far there’s only been one

1673
00:31:24,540 –> 00:31:27,290
be fired so far there’s only been one
guy who’s still not even fired who’s

1674
00:31:27,290 –> 00:31:27,300
guy who’s still not even fired who’s

1675
00:31:27,300 –> 00:31:30,410
guy who’s still not even fired who’s
lost his his clearance which is stroke

1676
00:31:30,410 –> 00:31:30,420
lost his his clearance which is stroke

1677
00:31:30,420 –> 00:31:33,080
lost his his clearance which is stroke
and Stroke I’ve heard both

1678
00:31:33,080 –> 00:31:33,090
and Stroke I’ve heard both

1679
00:31:33,090 –> 00:31:35,210
and Stroke I’ve heard both
pronunciations and he’s the one that was

1680
00:31:35,210 –> 00:31:35,220
pronunciations and he’s the one that was

1681
00:31:35,220 –> 00:31:37,100
pronunciations and he’s the one that was
sending a lot of the text messages to

1682
00:31:37,100 –> 00:31:37,110
sending a lot of the text messages to

1683
00:31:37,110 –> 00:31:39,380
sending a lot of the text messages to
his lover about stopping Trump and so on

1684
00:31:39,380 –> 00:31:39,390
his lover about stopping Trump and so on

1685
00:31:39,390 –> 00:31:41,480
his lover about stopping Trump and so on
but that’s the only active done you know

1686
00:31:41,480 –> 00:31:41,490
but that’s the only active done you know

1687
00:31:41,490 –> 00:31:45,260
but that’s the only active done you know
this this is covering up felonies is

1688
00:31:45,260 –> 00:31:45,270
this this is covering up felonies is

1689
00:31:45,270 –> 00:31:47,870
this this is covering up felonies is
also illegal all of those guys need to

1690
00:31:47,870 –> 00:31:47,880
also illegal all of those guys need to

1691
00:31:47,880 –> 00:31:49,970
also illegal all of those guys need to
be everybody involved in all that need

1692
00:31:49,970 –> 00:31:49,980
be everybody involved in all that need

1693
00:31:49,980 –> 00:31:53,510
be everybody involved in all that need
to be prosecuted because the stuff is

1694
00:31:53,510 –> 00:31:53,520
to be prosecuted because the stuff is

1695
00:31:53,520 –> 00:31:57,530
to be prosecuted because the stuff is
illegal and I myself had thousands of

1696
00:31:57,530 –> 00:31:57,540
illegal and I myself had thousands of

1697
00:31:57,540 –> 00:31:58,940
illegal and I myself had thousands of
created thousands of classified

1698
00:31:58,940 –> 00:31:58,950
created thousands of classified

1699
00:31:58,950 –> 00:32:01,100
created thousands of classified
documents and protected those things

1700
00:32:01,100 –> 00:32:01,110
documents and protected those things

1701
00:32:01,110 –> 00:32:03,020
documents and protected those things
vigorously and everybody I know took it

1702
00:32:03,020 –> 00:32:03,030
vigorously and everybody I know took it

1703
00:32:03,030 –> 00:32:05,150
vigorously and everybody I know took it
that way and even a security violation

1704
00:32:05,150 –> 00:32:05,160
that way and even a security violation

1705
00:32:05,160 –> 00:32:08,150
that way and even a security violation
of a minor nature was taken very

1706
00:32:08,150 –> 00:32:08,160
of a minor nature was taken very

1707
00:32:08,160 –> 00:32:09,919
of a minor nature was taken very
seriously and these guys give him away

1708
00:32:09,919 –> 00:32:09,929
seriously and these guys give him away

1709
00:32:09,929 –> 00:32:12,080
seriously and these guys give him away
wholesale and let me finish with one

1710
00:32:12,080 –> 00:32:12,090
wholesale and let me finish with one

1711
00:32:12,090 –> 00:32:14,630
wholesale and let me finish with one
last little tidbit on this because it’s

1712
00:32:14,630 –> 00:32:14,640
last little tidbit on this because it’s

1713
00:32:14,640 –> 00:32:16,070
last little tidbit on this because it’s
one of these things that I really

1714
00:32:16,070 –> 00:32:16,080
one of these things that I really

1715
00:32:16,080 –> 00:32:18,080
one of these things that I really
bothers me about all of this having

1716
00:32:18,080 –> 00:32:18,090
bothers me about all of this having

1717
00:32:18,090 –> 00:32:19,820
bothers me about all of this having
worked in that industry if you will for

1718
00:32:19,820 –> 00:32:19,830
worked in that industry if you will for

1719
00:32:19,830 –> 00:32:23,990
worked in that industry if you will for
so long each one of those documents now

1720
00:32:23,990 –> 00:32:24,000
so long each one of those documents now

1721
00:32:24,000 –> 00:32:25,220
so long each one of those documents now
I’ve talked about this before but each

1722
00:32:25,220 –> 00:32:25,230
I’ve talked about this before but each

1723
00:32:25,230 –> 00:32:27,169
I’ve talked about this before but each
one of those documents is on a closed

1724
00:32:27,169 –> 00:32:27,179
one of those documents is on a closed

1725
00:32:27,179 –> 00:32:29,590
one of those documents is on a closed
computer system when they came out those

1726
00:32:29,590 –> 00:32:29,600
computer system when they came out those

1727
00:32:29,600 –> 00:32:31,669
computer system when they came out those
twenty to thirty thousand probably

1728
00:32:31,669 –> 00:32:31,679
twenty to thirty thousand probably

1729
00:32:31,679 –> 00:32:34,460
twenty to thirty thousand probably
classified documents so as each one of

1730
00:32:34,460 –> 00:32:34,470
classified documents so as each one of

1731
00:32:34,470 –> 00:32:36,200
classified documents so as each one of
those documents is on a closed computer

1732
00:32:36,200 –> 00:32:36,210
those documents is on a closed computer

1733
00:32:36,210 –> 00:32:38,720
those documents is on a closed computer
system there is no way to electronically

1734
00:32:38,720 –> 00:32:38,730
system there is no way to electronically

1735
00:32:38,730 –> 00:32:40,970
system there is no way to electronically
take information out of that you can’t

1736
00:32:40,970 –> 00:32:40,980
take information out of that you can’t

1737
00:32:40,980 –> 00:32:42,830
take information out of that you can’t
put a thumb drive in it you can’t hook

1738
00:32:42,830 –> 00:32:42,840
put a thumb drive in it you can’t hook

1739
00:32:42,840 –> 00:32:45,620
put a thumb drive in it you can’t hook
it up to anything else you know the only

1740
00:32:45,620 –> 00:32:45,630
it up to anything else you know the only

1741
00:32:45,630 –> 00:32:48,050
it up to anything else you know the only
way to get a classified document out of

1742
00:32:48,050 –> 00:32:48,060
way to get a classified document out of

1743
00:32:48,060 –> 00:32:50,000
way to get a classified document out of
a classified computer is to print it and

1744
00:32:50,000 –> 00:32:50,010
a classified computer is to print it and

1745
00:32:50,010 –> 00:32:52,160
a classified computer is to print it and
you get the piece of paper so that’s

1746
00:32:52,160 –> 00:32:52,170
you get the piece of paper so that’s

1747
00:32:52,170 –> 00:32:53,270
you get the piece of paper so that’s
step a

1748
00:32:53,270 –> 00:32:53,280
step a

1749
00:32:53,280 –> 00:32:56,540
step a
whoever did this who originated these

1750
00:32:56,540 –> 00:32:56,550
whoever did this who originated these

1751
00:32:56,550 –> 00:32:59,930
whoever did this who originated these
documents that that were in Clinton’s

1752
00:32:59,930 –> 00:32:59,940
documents that that were in Clinton’s

1753
00:32:59,940 –> 00:33:02,240
documents that that were in Clinton’s
computer system that were on ended up on

1754
00:33:02,240 –> 00:33:02,250
computer system that were on ended up on

1755
00:33:02,250 –> 00:33:05,390
computer system that were on ended up on
on Anthony Weiner’s computer had at one

1756
00:33:05,390 –> 00:33:05,400
on Anthony Weiner’s computer had at one

1757
00:33:05,400 –> 00:33:07,550
on Anthony Weiner’s computer had at one
point had that piece of paper they cut

1758
00:33:07,550 –> 00:33:07,560
point had that piece of paper they cut

1759
00:33:07,560 –> 00:33:09,530
point had that piece of paper they cut
off the footer and the header of that

1760
00:33:09,530 –> 00:33:09,540
off the footer and the header of that

1761
00:33:09,540 –> 00:33:12,350
off the footer and the header of that
piece of paper that documented all the

1762
00:33:12,350 –> 00:33:12,360
piece of paper that documented all the

1763
00:33:12,360 –> 00:33:13,730
piece of paper that documented all the
classified elements of it

1764
00:33:13,730 –> 00:33:13,740
classified elements of it

1765
00:33:13,740 –> 00:33:16,520
classified elements of it
they took then what was left and scanned

1766
00:33:16,520 –> 00:33:16,530
they took then what was left and scanned

1767
00:33:16,530 –> 00:33:19,040
they took then what was left and scanned
it and then once it’s scanned into their

1768
00:33:19,040 –> 00:33:19,050
it and then once it’s scanned into their

1769
00:33:19,050 –> 00:33:20,210
it and then once it’s scanned into their
private computer they could do whatever

1770
00:33:20,210 –> 00:33:20,220
private computer they could do whatever

1771
00:33:20,220 –> 00:33:21,800
private computer they could do whatever
they wanted with it it could go out you

1772
00:33:21,800 –> 00:33:21,810
they wanted with it it could go out you

1773
00:33:21,810 –> 00:33:24,320
they wanted with it it could go out you
put on a thumb drive you could you know

1774
00:33:24,320 –> 00:33:24,330
put on a thumb drive you could you know

1775
00:33:24,330 –> 00:33:25,700
put on a thumb drive you could you know
take it home and email it out do

1776
00:33:25,700 –> 00:33:25,710
take it home and email it out do

1777
00:33:25,710 –> 00:33:26,720
take it home and email it out do
whatever you want to do with it and

1778
00:33:26,720 –> 00:33:26,730
whatever you want to do with it and

1779
00:33:26,730 –> 00:33:29,630
whatever you want to do with it and
that’s how that’s the process that had

1780
00:33:29,630 –> 00:33:29,640
that’s how that’s the process that had

1781
00:33:29,640 –> 00:33:32,780
that’s how that’s the process that had
to have been completed to get that on to

1782
00:33:32,780 –> 00:33:32,790
to have been completed to get that on to

1783
00:33:32,790 –> 00:33:35,540
to have been completed to get that on to
Anthony Weiner’s laptop and builds into

1784
00:33:35,540 –> 00:33:35,550
Anthony Weiner’s laptop and builds into

1785
00:33:35,550 –> 00:33:37,400
Anthony Weiner’s laptop and builds into
that that’s one of Hillary Clinton’s

1786
00:33:37,400 –> 00:33:37,410
that that’s one of Hillary Clinton’s

1787
00:33:37,410 –> 00:33:39,080
that that’s one of Hillary Clinton’s
defenses on this she says well they

1788
00:33:39,080 –> 00:33:39,090
defenses on this she says well they

1789
00:33:39,090 –> 00:33:41,960
defenses on this she says well they
weren’t mark class I’m that was picked

1790
00:33:41,960 –> 00:33:41,970
weren’t mark class I’m that was picked

1791
00:33:41,970 –> 00:33:44,360
weren’t mark class I’m that was picked
it up by James Comey and he was saying

1792
00:33:44,360 –> 00:33:44,370
it up by James Comey and he was saying

1793
00:33:44,370 –> 00:33:45,890
it up by James Comey and he was saying
well they weren’t classified at the time

1794
00:33:45,890 –> 00:33:45,900
well they weren’t classified at the time

1795
00:33:45,900 –> 00:33:48,380
well they weren’t classified at the time
I went back and looked at it and if

1796
00:33:48,380 –> 00:33:48,390
I went back and looked at it and if

1797
00:33:48,390 –> 00:33:52,010
I went back and looked at it and if
you’ve been in James cup comments he

1798
00:33:52,010 –> 00:33:52,020
you’ve been in James cup comments he

1799
00:33:52,020 –> 00:33:56,630
you’ve been in James cup comments he
said that we up classified up classified

1800
00:33:56,630 –> 00:33:56,640
said that we up classified up classified

1801
00:33:56,640 –> 00:34:00,200
said that we up classified up classified
these documents which I you know exists

1802
00:34:00,200 –> 00:34:00,210
these documents which I you know exists

1803
00:34:00,210 –> 00:34:03,590
these documents which I you know exists
as a term but not not used this way I

1804
00:34:03,590 –> 00:34:03,600
as a term but not not used this way I

1805
00:34:03,600 –> 00:34:05,270
as a term but not not used this way I
mean sometimes you look at a document

1806
00:34:05,270 –> 00:34:05,280
mean sometimes you look at a document

1807
00:34:05,280 –> 00:34:07,340
mean sometimes you look at a document
that might come out secret take a look

1808
00:34:07,340 –> 00:34:07,350
that might come out secret take a look

1809
00:34:07,350 –> 00:34:09,050
that might come out secret take a look
at it and realize the informations more

1810
00:34:09,050 –> 00:34:09,060
at it and realize the informations more

1811
00:34:09,060 –> 00:34:10,550
at it and realize the informations more
important or more dangerous than

1812
00:34:10,550 –> 00:34:10,560
important or more dangerous than

1813
00:34:10,560 –> 00:34:12,380
important or more dangerous than
originally realized and bump it up to

1814
00:34:12,380 –> 00:34:12,390
originally realized and bump it up to

1815
00:34:12,390 –> 00:34:15,380
originally realized and bump it up to
top secret for example that’s you know

1816
00:34:15,380 –> 00:34:15,390
top secret for example that’s you know

1817
00:34:15,390 –> 00:34:17,480
top secret for example that’s you know
up classifying something but finding

1818
00:34:17,480 –> 00:34:17,490
up classifying something but finding

1819
00:34:17,490 –> 00:34:19,310
up classifying something but finding
unmarked documents that are classified

1820
00:34:19,310 –> 00:34:19,320
unmarked documents that are classified

1821
00:34:19,320 –> 00:34:21,020
unmarked documents that are classified
and then calling him up classification

1822
00:34:21,020 –> 00:34:21,030
and then calling him up classification

1823
00:34:21,030 –> 00:34:23,570
and then calling him up classification
that’s cover-up that’s that’s cover-up

1824
00:34:23,570 –> 00:34:23,580
that’s cover-up that’s that’s cover-up

1825
00:34:23,580 –> 00:34:25,550
that’s cover-up that’s that’s cover-up
he’s covering up something that was

1826
00:34:25,550 –> 00:34:25,560
he’s covering up something that was

1827
00:34:25,560 –> 00:34:29,620
he’s covering up something that was
clearly illegal and how can you say

1828
00:34:29,620 –> 00:34:29,630
clearly illegal and how can you say

1829
00:34:29,630 –> 00:34:33,620
clearly illegal and how can you say
there was no intent to do this and and

1830
00:34:33,620 –> 00:34:33,630
there was no intent to do this and and

1831
00:34:33,630 –> 00:34:36,680
there was no intent to do this and and
again Comey was calling it a spill you

1832
00:34:36,680 –> 00:34:36,690
again Comey was calling it a spill you

1833
00:34:36,690 –> 00:34:38,180
again Comey was calling it a spill you
know and in the terms in the IG report

1834
00:34:38,180 –> 00:34:38,190
know and in the terms in the IG report

1835
00:34:38,190 –> 00:34:41,330
know and in the terms in the IG report
they were calling it a spill oh and they

1836
00:34:41,330 –> 00:34:41,340
they were calling it a spill oh and they

1837
00:34:41,340 –> 00:34:42,590
they were calling it a spill oh and they
were saying well you know it’s a

1838
00:34:42,590 –> 00:34:42,600
were saying well you know it’s a

1839
00:34:42,600 –> 00:34:45,020
were saying well you know it’s a
spillover of information and yeah that

1840
00:34:45,020 –> 00:34:45,030
spillover of information and yeah that

1841
00:34:45,030 –> 00:34:46,190
spillover of information and yeah that
the State Department is better

1842
00:34:46,190 –> 00:34:46,200
the State Department is better

1843
00:34:46,200 –> 00:34:48,470
the State Department is better
positioned to take a look at this State

1844
00:34:48,470 –> 00:34:48,480
positioned to take a look at this State

1845
00:34:48,480 –> 00:34:49,669
positioned to take a look at this State
Department doesn’t prosecute people for

1846
00:34:49,669 –> 00:34:49,679
Department doesn’t prosecute people for

1847
00:34:49,679 –> 00:34:52,370
Department doesn’t prosecute people for
felonies that’s not their job the ice

1848
00:34:52,370 –> 00:34:52,380
felonies that’s not their job the ice

1849
00:34:52,380 –> 00:34:54,110
felonies that’s not their job the ice
job so they were just sort of

1850
00:34:54,110 –> 00:34:54,120
job so they were just sort of

1851
00:34:54,120 –> 00:34:55,700
job so they were just sort of
politically throwing it back to them and

1852
00:34:55,700 –> 00:34:55,710
politically throwing it back to them and

1853
00:34:55,710 –> 00:34:56,870
politically throwing it back to them and
that was part of their cover up and

1854
00:34:56,870 –> 00:34:56,880
that was part of their cover up and

1855
00:34:56,880 –> 00:35:00,580
that was part of their cover up and
that’s purposeful that is purposeful and

1856
00:35:00,580 –> 00:35:00,590
that’s purposeful that is purposeful and

1857
00:35:00,590 –> 00:35:02,510
that’s purposeful that is purposeful and
let me ask a couple of yes-or-no

1858
00:35:02,510 –> 00:35:02,520
let me ask a couple of yes-or-no

1859
00:35:02,520 –> 00:35:06,530
let me ask a couple of yes-or-no
questions if I can so Tony Weiner

1860
00:35:06,530 –> 00:35:06,540
questions if I can so Tony Weiner

1861
00:35:06,540 –> 00:35:08,330
questions if I can so Tony Weiner
he was married to Huma Abedin is that

1862
00:35:08,330 –> 00:35:08,340
he was married to Huma Abedin is that

1863
00:35:08,340 –> 00:35:11,210
he was married to Huma Abedin is that
right yes Huma Abedin if I recall

1864
00:35:11,210 –> 00:35:11,220
right yes Huma Abedin if I recall

1865
00:35:11,220 –> 00:35:14,570
right yes Huma Abedin if I recall
correctly every single are at least a

1866
00:35:14,570 –> 00:35:14,580
correctly every single are at least a

1867
00:35:14,580 –> 00:35:17,900
correctly every single are at least a
significant portion of her entire family

1868
00:35:17,900 –> 00:35:17,910
significant portion of her entire family

1869
00:35:17,910 –> 00:35:20,990
significant portion of her entire family
was overtly connected to the Muslim

1870
00:35:20,990 –> 00:35:21,000
was overtly connected to the Muslim

1871
00:35:21,000 –> 00:35:23,420
was overtly connected to the Muslim
Brotherhood is that correct that’s my

1872
00:35:23,420 –> 00:35:23,430
Brotherhood is that correct that’s my

1873
00:35:23,430 –> 00:35:24,530
Brotherhood is that correct that’s my
understanding as well

1874
00:35:24,530 –> 00:35:24,540
understanding as well

1875
00:35:24,540 –> 00:35:28,070
understanding as well
and now so she had a family including a

1876
00:35:28,070 –> 00:35:28,080
and now so she had a family including a

1877
00:35:28,080 –> 00:35:30,020
and now so she had a family including a
mother and other members of her family

1878
00:35:30,020 –> 00:35:30,030
mother and other members of her family

1879
00:35:30,030 –> 00:35:32,810
mother and other members of her family
who were and are even during the during

1880
00:35:32,810 –> 00:35:32,820
who were and are even during the during

1881
00:35:32,820 –> 00:35:34,520
who were and are even during the during
the period with which she was working at

1882
00:35:34,520 –> 00:35:34,530
the period with which she was working at

1883
00:35:34,530 –> 00:35:36,560
the period with which she was working at
the White House as Hillary Clinton as

1884
00:35:36,560 –> 00:35:36,570
the White House as Hillary Clinton as

1885
00:35:36,570 –> 00:35:37,520
the White House as Hillary Clinton as
Secretary of State

1886
00:35:37,520 –> 00:35:37,530
Secretary of State

1887
00:35:37,530 –> 00:35:40,600
Secretary of State
actual right-hand man closest associate

1888
00:35:40,600 –> 00:35:40,610
actual right-hand man closest associate

1889
00:35:40,610 –> 00:35:43,250
actual right-hand man closest associate
basically her entire set of associates

1890
00:35:43,250 –> 00:35:43,260
basically her entire set of associates

1891
00:35:43,260 –> 00:35:47,000
basically her entire set of associates
were all very high-ranking members of it

1892
00:35:47,000 –> 00:35:47,010
were all very high-ranking members of it

1893
00:35:47,010 –> 00:35:48,470
were all very high-ranking members of it
one the Muslim Brotherhood itself is

1894
00:35:48,470 –> 00:35:48,480
one the Muslim Brotherhood itself is

1895
00:35:48,480 –> 00:35:50,930
one the Muslim Brotherhood itself is
that the way you understand it yes in

1896
00:35:50,930 –> 00:35:50,940
that the way you understand it yes in

1897
00:35:50,940 –> 00:35:54,710
that the way you understand it yes in
addition Huma herself was apparently

1898
00:35:54,710 –> 00:35:54,720
addition Huma herself was apparently

1899
00:35:54,720 –> 00:35:58,220
addition Huma herself was apparently
working at that a very radical Islamic

1900
00:35:58,220 –> 00:35:58,230
working at that a very radical Islamic

1901
00:35:58,230 –> 00:36:01,580
working at that a very radical Islamic
magazine and that was out of that job

1902
00:36:01,580 –> 00:36:01,590
magazine and that was out of that job

1903
00:36:01,590 –> 00:36:04,630
magazine and that was out of that job
that she came to join Hillary Clinton so

1904
00:36:04,630 –> 00:36:04,640
that she came to join Hillary Clinton so

1905
00:36:04,640 –> 00:36:07,820
that she came to join Hillary Clinton so
one would wonder how these air-gapped

1906
00:36:07,820 –> 00:36:07,830
one would wonder how these air-gapped

1907
00:36:07,830 –> 00:36:10,670
one would wonder how these air-gapped
documents found their way onto her

1908
00:36:10,670 –> 00:36:10,680
documents found their way onto her

1909
00:36:10,680 –> 00:36:12,740
documents found their way onto her
husband’s computer in an unclassified

1910
00:36:12,740 –> 00:36:12,750
husband’s computer in an unclassified

1911
00:36:12,750 –> 00:36:16,670
husband’s computer in an unclassified
environment that it almost it’s easy to

1912
00:36:16,670 –> 00:36:16,680
environment that it almost it’s easy to

1913
00:36:16,680 –> 00:36:18,590
environment that it almost it’s easy to
see what the purpose of that might be if

1914
00:36:18,590 –> 00:36:18,600
see what the purpose of that might be if

1915
00:36:18,600 –> 00:36:20,810
see what the purpose of that might be if
it means then getting that information

1916
00:36:20,810 –> 00:36:20,820
it means then getting that information

1917
00:36:20,820 –> 00:36:22,580
it means then getting that information
over to organizations that don’t have

1918
00:36:22,580 –> 00:36:22,590
over to organizations that don’t have

1919
00:36:22,590 –> 00:36:28,130
over to organizations that don’t have
American democracy as its interest yes

1920
00:36:28,130 –> 00:36:28,140
American democracy as its interest yes

1921
00:36:28,140 –> 00:36:30,050
American democracy as its interest yes
now you’re getting into a completely

1922
00:36:30,050 –> 00:36:30,060
now you’re getting into a completely

1923
00:36:30,060 –> 00:36:32,570
now you’re getting into a completely
different area here with what who all

1924
00:36:32,570 –> 00:36:32,580
different area here with what who all

1925
00:36:32,580 –> 00:36:36,340
different area here with what who all
saw those things now there’s been huge

1926
00:36:36,340 –> 00:36:36,350
saw those things now there’s been huge

1927
00:36:36,350 –> 00:36:39,410
saw those things now there’s been huge
this is why I say this is all part of

1928
00:36:39,410 –> 00:36:39,420
this is why I say this is all part of

1929
00:36:39,420 –> 00:36:41,570
this is why I say this is all part of
this this is part of why this is all

1930
00:36:41,570 –> 00:36:41,580
this this is part of why this is all

1931
00:36:41,580 –> 00:36:44,750
this this is part of why this is all
being covered up by DOJ and FBI and this

1932
00:36:44,750 –> 00:36:44,760
being covered up by DOJ and FBI and this

1933
00:36:44,760 –> 00:36:46,940
being covered up by DOJ and FBI and this
is part of why I say those people who

1934
00:36:46,940 –> 00:36:46,950
is part of why I say those people who

1935
00:36:46,950 –> 00:36:49,670
is part of why I say those people who
who actively covered this this these

1936
00:36:49,670 –> 00:36:49,680
who actively covered this this these

1937
00:36:49,680 –> 00:36:52,570
who actively covered this this these
criminal acts up also should be

1938
00:36:52,570 –> 00:36:52,580
criminal acts up also should be

1939
00:36:52,580 –> 00:36:54,290
criminal acts up also should be
prosecuted and go to jail

1940
00:36:54,290 –> 00:36:54,300
prosecuted and go to jail

1941
00:36:54,300 –> 00:36:57,350
prosecuted and go to jail
all those guys jail and this is part of

1942
00:36:57,350 –> 00:36:57,360
all those guys jail and this is part of

1943
00:36:57,360 –> 00:36:58,820
all those guys jail and this is part of
the reason why you know who ended up

1944
00:36:58,820 –> 00:36:58,830
the reason why you know who ended up

1945
00:36:58,830 –> 00:37:00,230
the reason why you know who ended up
with those documents now a lot of

1946
00:37:00,230 –> 00:37:00,240
with those documents now a lot of

1947
00:37:00,240 –> 00:37:02,600
with those documents now a lot of
speculation and people are saying that

1948
00:37:02,600 –> 00:37:02,610
speculation and people are saying that

1949
00:37:02,610 –> 00:37:05,000
speculation and people are saying that
to jump had copies of all this stuff

1950
00:37:05,000 –> 00:37:05,010
to jump had copies of all this stuff

1951
00:37:05,010 –> 00:37:07,070
to jump had copies of all this stuff
John Podesta throughout this process was

1952
00:37:07,070 –> 00:37:07,080
John Podesta throughout this process was

1953
00:37:07,080 –> 00:37:08,810
John Podesta throughout this process was
it close very close associate and

1954
00:37:08,810 –> 00:37:08,820
it close very close associate and

1955
00:37:08,820 –> 00:37:11,540
it close very close associate and
advised Larry Clinton and probably her

1956
00:37:11,540 –> 00:37:11,550
advised Larry Clinton and probably her

1957
00:37:11,550 –> 00:37:13,190
advised Larry Clinton and probably her
principal one or most important one or

1958
00:37:13,190 –> 00:37:13,200
principal one or most important one or

1959
00:37:13,200 –> 00:37:15,980
principal one or most important one or
certainly greater among equals and he

1960
00:37:15,980 –> 00:37:15,990
certainly greater among equals and he

1961
00:37:15,990 –> 00:37:17,080
certainly greater among equals and he
had no clearance

1962
00:37:17,080 –> 00:37:17,090
had no clearance

1963
00:37:17,090 –> 00:37:20,650
had no clearance
so he was provided all this sort of

1964
00:37:20,650 –> 00:37:20,660
so he was provided all this sort of

1965
00:37:20,660 –> 00:37:22,600
so he was provided all this sort of
stuff again all that is a criminal act

1966
00:37:22,600 –> 00:37:22,610
stuff again all that is a criminal act

1967
00:37:22,610 –> 00:37:25,000
stuff again all that is a criminal act
that’s those are all felonies and and

1968
00:37:25,000 –> 00:37:25,010
that’s those are all felonies and and

1969
00:37:25,010 –> 00:37:26,130
that’s those are all felonies and and
those are things that need to be

1970
00:37:26,130 –> 00:37:26,140
those are things that need to be

1971
00:37:26,140 –> 00:37:28,780
those are things that need to be
prosecuted and looked at so that we can

1972
00:37:28,780 –> 00:37:28,790
prosecuted and looked at so that we can

1973
00:37:28,790 –> 00:37:31,030
prosecuted and looked at so that we can
figure out who all got their hands on

1974
00:37:31,030 –> 00:37:31,040
figure out who all got their hands on

1975
00:37:31,040 –> 00:37:32,890
figure out who all got their hands on
this stuff and there’s a lot of

1976
00:37:32,890 –> 00:37:32,900
this stuff and there’s a lot of

1977
00:37:32,900 –> 00:37:34,680
this stuff and there’s a lot of
speculation if you recall at the time

1978
00:37:34,680 –> 00:37:34,690
speculation if you recall at the time

1979
00:37:34,690 –> 00:37:36,490
speculation if you recall at the time
there was a lot of public reporting

1980
00:37:36,490 –> 00:37:36,500
there was a lot of public reporting

1981
00:37:36,500 –> 00:37:39,310
there was a lot of public reporting
about a penetration of the Iranian

1982
00:37:39,310 –> 00:37:39,320
about a penetration of the Iranian

1983
00:37:39,320 –> 00:37:41,770
about a penetration of the Iranian
missile program that was supposedly

1984
00:37:41,770 –> 00:37:41,780
missile program that was supposedly

1985
00:37:41,780 –> 00:37:43,510
missile program that was supposedly
identified in those emails to John

1986
00:37:43,510 –> 00:37:43,520
identified in those emails to John

1987
00:37:43,520 –> 00:37:45,280
identified in those emails to John
Podesta and supposedly John Podesta got

1988
00:37:45,280 –> 00:37:45,290
Podesta and supposedly John Podesta got

1989
00:37:45,290 –> 00:37:48,430
Podesta and supposedly John Podesta got
hacked and maybe the Chinese or Russians

1990
00:37:48,430 –> 00:37:48,440
hacked and maybe the Chinese or Russians

1991
00:37:48,440 –> 00:37:51,010
hacked and maybe the Chinese or Russians
who knows but either one of the the

1992
00:37:51,010 –> 00:37:51,020
who knows but either one of the the

1993
00:37:51,020 –> 00:37:52,930
who knows but either one of the the
Chinese Russians getting that

1994
00:37:52,930 –> 00:37:52,940
Chinese Russians getting that

1995
00:37:52,940 –> 00:37:54,970
Chinese Russians getting that
information would immediately provide it

1996
00:37:54,970 –> 00:37:54,980
information would immediately provide it

1997
00:37:54,980 –> 00:37:56,620
information would immediately provide it
to Iran because they want to get the

1998
00:37:56,620 –> 00:37:56,630
to Iran because they want to get the

1999
00:37:56,630 –> 00:37:58,660
to Iran because they want to get the
kudos they want to have the a good

2000
00:37:58,660 –> 00:37:58,670
kudos they want to have the a good

2001
00:37:58,670 –> 00:38:00,250
kudos they want to have the a good
relationship with Iran so they would

2002
00:38:00,250 –> 00:38:00,260
relationship with Iran so they would

2003
00:38:00,260 –> 00:38:02,680
relationship with Iran so they would
have immediately provided it to Iran and

2004
00:38:02,680 –> 00:38:02,690
have immediately provided it to Iran and

2005
00:38:02,690 –> 00:38:04,390
have immediately provided it to Iran and
of course that man was in fact then

2006
00:38:04,390 –> 00:38:04,400
of course that man was in fact then

2007
00:38:04,400 –> 00:38:08,200
of course that man was in fact then
arrested tortured and executed and what

2008
00:38:08,200 –> 00:38:08,210
arrested tortured and executed and what

2009
00:38:08,210 –> 00:38:09,580
arrested tortured and executed and what
the claim was of course was that he was

2010
00:38:09,580 –> 00:38:09,590
the claim was of course was that he was

2011
00:38:09,590 –> 00:38:13,420
the claim was of course was that he was
spying hey now that’s a very serious

2012
00:38:13,420 –> 00:38:13,430
spying hey now that’s a very serious

2013
00:38:13,430 –> 00:38:15,160
spying hey now that’s a very serious
very serious thing that would mean that

2014
00:38:15,160 –> 00:38:15,170
very serious thing that would mean that

2015
00:38:15,170 –> 00:38:18,250
very serious thing that would mean that
Hillary Clinton knowingly taking these

2016
00:38:18,250 –> 00:38:18,260
Hillary Clinton knowingly taking these

2017
00:38:18,260 –> 00:38:20,920
Hillary Clinton knowingly taking these
classified documents if she ordered it

2018
00:38:20,920 –> 00:38:20,930
classified documents if she ordered it

2019
00:38:20,930 –> 00:38:22,420
classified documents if she ordered it
which now that we don’t know again I

2020
00:38:22,420 –> 00:38:22,430
which now that we don’t know again I

2021
00:38:22,430 –> 00:38:24,700
which now that we don’t know again I
grant you we don’t have the smoking gun

2022
00:38:24,700 –> 00:38:24,710
grant you we don’t have the smoking gun

2023
00:38:24,710 –> 00:38:27,520
grant you we don’t have the smoking gun
but if you go if you put Anthony Weiner

2024
00:38:27,520 –> 00:38:27,530
but if you go if you put Anthony Weiner

2025
00:38:27,530 –> 00:38:30,820
but if you go if you put Anthony Weiner
in jail 3,000 years which means he’s not

2026
00:38:30,820 –> 00:38:30,830
in jail 3,000 years which means he’s not

2027
00:38:30,830 –> 00:38:32,920
in jail 3,000 years which means he’s not
gonna get bail he’s not gonna get out

2028
00:38:32,920 –> 00:38:32,930
gonna get bail he’s not gonna get out

2029
00:38:32,930 –> 00:38:34,720
gonna get bail he’s not gonna get out
for good behavior and all that stuff

2030
00:38:34,720 –> 00:38:34,730
for good behavior and all that stuff

2031
00:38:34,730 –> 00:38:36,640
for good behavior and all that stuff
he’s gonna sing like a canary I don’t

2032
00:38:36,640 –> 00:38:36,650
he’s gonna sing like a canary I don’t

2033
00:38:36,650 –> 00:38:39,070
he’s gonna sing like a canary I don’t
see Carlos danger being the type of guy

2034
00:38:39,070 –> 00:38:39,080
see Carlos danger being the type of guy

2035
00:38:39,080 –> 00:38:40,600
see Carlos danger being the type of guy
that’s gonna do well in a prison

2036
00:38:40,600 –> 00:38:40,610
that’s gonna do well in a prison

2037
00:38:40,610 –> 00:38:42,610
that’s gonna do well in a prison
environment I think he knows that so

2038
00:38:42,610 –> 00:38:42,620
environment I think he knows that so

2039
00:38:42,620 –> 00:38:43,780
environment I think he knows that so
he’s gonna he’s gonna tell you where he

2040
00:38:43,780 –> 00:38:43,790
he’s gonna he’s gonna tell you where he

2041
00:38:43,790 –> 00:38:44,770
he’s gonna he’s gonna tell you where he
got him he’s gonna tell you everything

2042
00:38:44,770 –> 00:38:44,780
got him he’s gonna tell you everything

2043
00:38:44,780 –> 00:38:47,470
got him he’s gonna tell you everything
he knows and I think whom I’m faced with

2044
00:38:47,470 –> 00:38:47,480
he knows and I think whom I’m faced with

2045
00:38:47,480 –> 00:38:48,940
he knows and I think whom I’m faced with
the same thing he’s gonna tell you

2046
00:38:48,940 –> 00:38:48,950
the same thing he’s gonna tell you

2047
00:38:48,950 –> 00:38:50,800
the same thing he’s gonna tell you
everything she knows and it’s gonna work

2048
00:38:50,800 –> 00:38:50,810
everything she knows and it’s gonna work

2049
00:38:50,810 –> 00:38:53,320
everything she knows and it’s gonna work
its way back up in the iug report they

2050
00:38:53,320 –> 00:38:53,330
its way back up in the iug report they

2051
00:38:53,330 –> 00:38:55,020
its way back up in the iug report they
said they found the guys who were

2052
00:38:55,020 –> 00:38:55,030
said they found the guys who were

2053
00:38:55,030 –> 00:38:57,940
said they found the guys who were
processing this stuff but the IG report

2054
00:38:57,940 –> 00:38:57,950
processing this stuff but the IG report

2055
00:38:57,950 –> 00:39:00,490
processing this stuff but the IG report
again there was there was there was AG

2056
00:39:00,490 –> 00:39:00,500
again there was there was there was AG

2057
00:39:00,500 –> 00:39:03,760
again there was there was there was AG
report told said what they were told but

2058
00:39:03,760 –> 00:39:03,770
report told said what they were told but

2059
00:39:03,770 –> 00:39:05,470
report told said what they were told but
they didn’t provide any judgment on what

2060
00:39:05,470 –> 00:39:05,480
they didn’t provide any judgment on what

2061
00:39:05,480 –> 00:39:08,440
they didn’t provide any judgment on what
they’re being told now which again knots

2062
00:39:08,440 –> 00:39:08,450
they’re being told now which again knots

2063
00:39:08,450 –> 00:39:10,510
they’re being told now which again knots
that smacks of cover-up to me

2064
00:39:10,510 –> 00:39:10,520
that smacks of cover-up to me

2065
00:39:10,520 –> 00:39:13,210
that smacks of cover-up to me
III look at this IG report with a great

2066
00:39:13,210 –> 00:39:13,220
III look at this IG report with a great

2067
00:39:13,220 –> 00:39:15,640
III look at this IG report with a great
deal of skepticism because in that IG

2068
00:39:15,640 –> 00:39:15,650
deal of skepticism because in that IG

2069
00:39:15,650 –> 00:39:18,730
deal of skepticism because in that IG
report the IG report says that they

2070
00:39:18,730 –> 00:39:18,740
report the IG report says that they

2071
00:39:18,740 –> 00:39:20,440
report the IG report says that they
found the people that were processing

2072
00:39:20,440 –> 00:39:20,450
found the people that were processing

2073
00:39:20,450 –> 00:39:24,130
found the people that were processing
all these emails okay but like I said

2074
00:39:24,130 –> 00:39:24,140
all these emails okay but like I said

2075
00:39:24,140 –> 00:39:27,100
all these emails okay but like I said
now the IG knows that on that classified

2076
00:39:27,100 –> 00:39:27,110
now the IG knows that on that classified

2077
00:39:27,110 –> 00:39:29,020
now the IG knows that on that classified
computer system there is no way to get

2078
00:39:29,020 –> 00:39:29,030
computer system there is no way to get

2079
00:39:29,030 –> 00:39:30,460
computer system there is no way to get
those documents out there

2080
00:39:30,460 –> 00:39:30,470
those documents out there

2081
00:39:30,470 –> 00:39:32,440
those documents out there
without printing off that document and

2082
00:39:32,440 –> 00:39:32,450
without printing off that document and

2083
00:39:32,450 –> 00:39:34,510
without printing off that document and
then because they had no classified

2084
00:39:34,510 –> 00:39:34,520
then because they had no classified

2085
00:39:34,520 –> 00:39:36,309
then because they had no classified
markings on that means the header and

2086
00:39:36,309 –> 00:39:36,319
markings on that means the header and

2087
00:39:36,319 –> 00:39:38,079
markings on that means the header and
Twitter were cut off that do contain

2088
00:39:38,079 –> 00:39:38,089
Twitter were cut off that do contain

2089
00:39:38,089 –> 00:39:40,180
Twitter were cut off that do contain
those classified markings and then they

2090
00:39:40,180 –> 00:39:40,190
those classified markings and then they

2091
00:39:40,190 –> 00:39:41,859
those classified markings and then they
had to be scanned and sent out on this

2092
00:39:41,859 –> 00:39:41,869
had to be scanned and sent out on this

2093
00:39:41,869 –> 00:39:46,030
had to be scanned and sent out on this
other system so you have this whole

2094
00:39:46,030 –> 00:39:46,040
other system so you have this whole

2095
00:39:46,040 –> 00:39:48,670
other system so you have this whole
process of where those those classified

2096
00:39:48,670 –> 00:39:48,680
process of where those those classified

2097
00:39:48,680 –> 00:39:49,870
process of where those those classified
documents had the header and footer cut

2098
00:39:49,870 –> 00:39:49,880
documents had the header and footer cut

2099
00:39:49,880 –> 00:39:51,220
documents had the header and footer cut
off and then were scanned and put into

2100
00:39:51,220 –> 00:39:51,230
off and then were scanned and put into

2101
00:39:51,230 –> 00:39:54,250
off and then were scanned and put into
the system the FBI or the IG rather has

2102
00:39:54,250 –> 00:39:54,260
the system the FBI or the IG rather has

2103
00:39:54,260 –> 00:39:57,609
the system the FBI or the IG rather has
gone back and found those people whether

2104
00:39:57,609 –> 00:39:57,619
gone back and found those people whether

2105
00:39:57,619 –> 00:39:58,960
gone back and found those people whether
they were they would have been State

2106
00:39:58,960 –> 00:39:58,970
they were they would have been State

2107
00:39:58,970 –> 00:40:01,180
they were they would have been State
Department employees permanently hired

2108
00:40:01,180 –> 00:40:01,190
Department employees permanently hired

2109
00:40:01,190 –> 00:40:03,460
Department employees permanently hired
by Hillary Clinton so working for her

2110
00:40:03,460 –> 00:40:03,470
by Hillary Clinton so working for her

2111
00:40:03,470 –> 00:40:05,230
by Hillary Clinton so working for her
directly but nevertheless would have

2112
00:40:05,230 –> 00:40:05,240
directly but nevertheless would have

2113
00:40:05,240 –> 00:40:09,280
directly but nevertheless would have
been State Department employees so as I

2114
00:40:09,280 –> 00:40:09,290
been State Department employees so as I

2115
00:40:09,290 –> 00:40:12,520
been State Department employees so as I
mentioned they they then have these the

2116
00:40:12,520 –> 00:40:12,530
mentioned they they then have these the

2117
00:40:12,530 –> 00:40:14,890
mentioned they they then have these the
people that were processing all this

2118
00:40:14,890 –> 00:40:14,900
people that were processing all this

2119
00:40:14,900 –> 00:40:17,470
people that were processing all this
stuff and the and the IG went into it

2120
00:40:17,470 –> 00:40:17,480
stuff and the and the IG went into it

2121
00:40:17,480 –> 00:40:21,190
stuff and the and the IG went into it
knowing that the only way to get the

2122
00:40:21,190 –> 00:40:21,200
knowing that the only way to get the

2123
00:40:21,200 –> 00:40:22,870
knowing that the only way to get the
classified documents into an

2124
00:40:22,870 –> 00:40:22,880
classified documents into an

2125
00:40:22,880 –> 00:40:25,630
classified documents into an
unclassified system is a fairly detailed

2126
00:40:25,630 –> 00:40:25,640
unclassified system is a fairly detailed

2127
00:40:25,640 –> 00:40:27,609
unclassified system is a fairly detailed
process that I’ve already explained you

2128
00:40:27,609 –> 00:40:27,619
process that I’ve already explained you

2129
00:40:27,619 –> 00:40:28,960
process that I’ve already explained you
know it’s not something that you just

2130
00:40:28,960 –> 00:40:28,970
know it’s not something that you just

2131
00:40:28,970 –> 00:40:31,210
know it’s not something that you just
you know oh I accidentally sent the

2132
00:40:31,210 –> 00:40:31,220
you know oh I accidentally sent the

2133
00:40:31,220 –> 00:40:34,050
you know oh I accidentally sent the
email from my classified system to my

2134
00:40:34,050 –> 00:40:34,060
email from my classified system to my

2135
00:40:34,060 –> 00:40:36,579
email from my classified system to my
home computer and it had a thousand

2136
00:40:36,579 –> 00:40:36,589
home computer and it had a thousand

2137
00:40:36,589 –> 00:40:38,260
home computer and it had a thousand
classified documents in it you know

2138
00:40:38,260 –> 00:40:38,270
classified documents in it you know

2139
00:40:38,270 –> 00:40:40,120
classified documents in it you know
there isn’t any of that that is not

2140
00:40:40,120 –> 00:40:40,130
there isn’t any of that that is not

2141
00:40:40,130 –> 00:40:43,089
there isn’t any of that that is not
physically possible but just they’re not

2142
00:40:43,089 –> 00:40:43,099
physically possible but just they’re not

2143
00:40:43,099 –> 00:40:45,790
physically possible but just they’re not
connected systems you cannot do it and

2144
00:40:45,790 –> 00:40:45,800
connected systems you cannot do it and

2145
00:40:45,800 –> 00:40:47,200
connected systems you cannot do it and
of course it’s not that way on purpose

2146
00:40:47,200 –> 00:40:47,210
of course it’s not that way on purpose

2147
00:40:47,210 –> 00:40:49,240
of course it’s not that way on purpose
because they don’t want classified

2148
00:40:49,240 –> 00:40:49,250
because they don’t want classified

2149
00:40:49,250 –> 00:40:51,550
because they don’t want classified
documents being fired off everywhere so

2150
00:40:51,550 –> 00:40:51,560
documents being fired off everywhere so

2151
00:40:51,560 –> 00:40:55,569
documents being fired off everywhere so
out of that you have now as I mentioned

2152
00:40:55,569 –> 00:40:55,579
out of that you have now as I mentioned

2153
00:40:55,579 –> 00:40:58,960
out of that you have now as I mentioned
I believe I you know proof that Hillary

2154
00:40:58,960 –> 00:40:58,970
I believe I you know proof that Hillary

2155
00:40:58,970 –> 00:41:01,000
I believe I you know proof that Hillary
Clinton ordered this done we just don’t

2156
00:41:01,000 –> 00:41:01,010
Clinton ordered this done we just don’t

2157
00:41:01,010 –> 00:41:03,670
Clinton ordered this done we just don’t
know who ordered it done but the IG

2158
00:41:03,670 –> 00:41:03,680
know who ordered it done but the IG

2159
00:41:03,680 –> 00:41:05,290
know who ordered it done but the IG
report got to the point where they could

2160
00:41:05,290 –> 00:41:05,300
report got to the point where they could

2161
00:41:05,300 –> 00:41:07,630
report got to the point where they could
have found out because they themselves

2162
00:41:07,630 –> 00:41:07,640
have found out because they themselves

2163
00:41:07,640 –> 00:41:10,120
have found out because they themselves
in the IG report state that they spoke

2164
00:41:10,120 –> 00:41:10,130
in the IG report state that they spoke

2165
00:41:10,130 –> 00:41:11,890
in the IG report state that they spoke
with the two individuals that were that

2166
00:41:11,890 –> 00:41:11,900
with the two individuals that were that

2167
00:41:11,900 –> 00:41:13,720
with the two individuals that were that
were having all this process so why

2168
00:41:13,720 –> 00:41:13,730
were having all this process so why

2169
00:41:13,730 –> 00:41:15,880
were having all this process so why
didn’t they ask that question why didn’t

2170
00:41:15,880 –> 00:41:15,890
didn’t they ask that question why didn’t

2171
00:41:15,890 –> 00:41:17,890
didn’t they ask that question why didn’t
they go on all this stuff they’re all

2172
00:41:17,890 –> 00:41:17,900
they go on all this stuff they’re all

2173
00:41:17,900 –> 00:41:21,520
they go on all this stuff they’re all
felonies so Jim Connolly was involved at

2174
00:41:21,520 –> 00:41:21,530
felonies so Jim Connolly was involved at

2175
00:41:21,530 –> 00:41:23,500
felonies so Jim Connolly was involved at
certainly in the cover-up it looks like

2176
00:41:23,500 –> 00:41:23,510
certainly in the cover-up it looks like

2177
00:41:23,510 –> 00:41:29,290
certainly in the cover-up it looks like
the IG report is is you know complacent

2178
00:41:29,290 –> 00:41:29,300
the IG report is is you know complacent

2179
00:41:29,300 –> 00:41:31,720
the IG report is is you know complacent
I would say as I said they they report

2180
00:41:31,720 –> 00:41:31,730
I would say as I said they they report

2181
00:41:31,730 –> 00:41:34,300
I would say as I said they they report
what they’re told but they don’t you

2182
00:41:34,300 –> 00:41:34,310
what they’re told but they don’t you

2183
00:41:34,310 –> 00:41:36,520
what they’re told but they don’t you
know it’s they say this you know the

2184
00:41:36,520 –> 00:41:36,530
know it’s they say this you know the

2185
00:41:36,530 –> 00:41:37,990
know it’s they say this you know the
okay we found the guys that did the

2186
00:41:37,990 –> 00:41:38,000
okay we found the guys that did the

2187
00:41:38,000 –> 00:41:40,300
okay we found the guys that did the
process but they didn’t ask them

2188
00:41:40,300 –> 00:41:40,310
process but they didn’t ask them

2189
00:41:40,310 –> 00:41:42,180
process but they didn’t ask them
questions like okay

2190
00:41:42,180 –> 00:41:42,190
questions like okay

2191
00:41:42,190 –> 00:41:44,069
questions like okay
who told you to cut off the header and

2192
00:41:44,069 –> 00:41:44,079
who told you to cut off the header and

2193
00:41:44,079 –> 00:41:45,750
who told you to cut off the header and
the footer and scan those and send them

2194
00:41:45,750 –> 00:41:45,760
the footer and scan those and send them

2195
00:41:45,760 –> 00:41:47,460
the footer and scan those and send them
out on a personal computer you know

2196
00:41:47,460 –> 00:41:47,470
out on a personal computer you know

2197
00:41:47,470 –> 00:41:49,410
out on a personal computer you know
that’s a felony right why did you do it

2198
00:41:49,410 –> 00:41:49,420
that’s a felony right why did you do it

2199
00:41:49,420 –> 00:41:53,069
that’s a felony right why did you do it
who ordered you to do it and that’s just

2200
00:41:53,069 –> 00:41:53,079
who ordered you to do it and that’s just

2201
00:41:53,079 –> 00:41:54,539
who ordered you to do it and that’s just
standard operating procedure for

2202
00:41:54,539 –> 00:41:54,549
standard operating procedure for

2203
00:41:54,549 –> 00:41:55,980
standard operating procedure for
everybody knows this in law enforcement

2204
00:41:55,980 –> 00:41:55,990
everybody knows this in law enforcement

2205
00:41:55,990 –> 00:41:58,920
everybody knows this in law enforcement
you arrest catch the low-level guy you

2206
00:41:58,920 –> 00:41:58,930
you arrest catch the low-level guy you

2207
00:41:58,930 –> 00:42:01,230
you arrest catch the low-level guy you
get him to flip on his boss you know

2208
00:42:01,230 –> 00:42:01,240
get him to flip on his boss you know

2209
00:42:01,240 –> 00:42:02,730
get him to flip on his boss you know
threaten that guy with a thousand years

2210
00:42:02,730 –> 00:42:02,740
threaten that guy with a thousand years

2211
00:42:02,740 –> 00:42:04,980
threaten that guy with a thousand years
in jail he’ll flip on his boss and you

2212
00:42:04,980 –> 00:42:04,990
in jail he’ll flip on his boss and you

2213
00:42:04,990 –> 00:42:09,150
in jail he’ll flip on his boss and you
go up the line and and just run away

2214
00:42:09,150 –> 00:42:09,160
go up the line and and just run away

2215
00:42:09,160 –> 00:42:13,410
go up the line and and just run away
you know politically motivated cover-up

2216
00:42:13,410 –> 00:42:13,420
you know politically motivated cover-up

2217
00:42:13,420 –> 00:42:16,559
you know politically motivated cover-up
and then on top of that you have the IG

2218
00:42:16,559 –> 00:42:16,569
and then on top of that you have the IG

2219
00:42:16,569 –> 00:42:19,859
and then on top of that you have the IG
report which I you know it’s me cover it

2220
00:42:19,859 –> 00:42:19,869
report which I you know it’s me cover it

2221
00:42:19,869 –> 00:42:21,329
report which I you know it’s me cover it
up maybe a little bit too strong of a

2222
00:42:21,329 –> 00:42:21,339
up maybe a little bit too strong of a

2223
00:42:21,339 –> 00:42:23,130
up maybe a little bit too strong of a
word for what the IG report was because

2224
00:42:23,130 –> 00:42:23,140
word for what the IG report was because

2225
00:42:23,140 –> 00:42:25,380
word for what the IG report was because
perhaps they looked at it as their job

2226
00:42:25,380 –> 00:42:25,390
perhaps they looked at it as their job

2227
00:42:25,390 –> 00:42:27,180
perhaps they looked at it as their job
is to just report what they were told

2228
00:42:27,180 –> 00:42:27,190
is to just report what they were told

2229
00:42:27,190 –> 00:42:30,120
is to just report what they were told
but then that what that means is where

2230
00:42:30,120 –> 00:42:30,130
but then that what that means is where

2231
00:42:30,130 –> 00:42:32,430
but then that what that means is where
is the adult in the room that’s looking

2232
00:42:32,430 –> 00:42:32,440
is the adult in the room that’s looking

2233
00:42:32,440 –> 00:42:35,130
is the adult in the room that’s looking
at it going all right okay those are all

2234
00:42:35,130 –> 00:42:35,140
at it going all right okay those are all

2235
00:42:35,140 –> 00:42:36,720
at it going all right okay those are all
crimes who have you arrested

2236
00:42:36,720 –> 00:42:36,730
crimes who have you arrested

2237
00:42:36,730 –> 00:42:38,700
crimes who have you arrested
well you haven’t arrested anybody we’ll

2238
00:42:38,700 –> 00:42:38,710
well you haven’t arrested anybody we’ll

2239
00:42:38,710 –> 00:42:40,620
well you haven’t arrested anybody we’ll
go get them you know what in the hell

2240
00:42:40,620 –> 00:42:40,630
go get them you know what in the hell

2241
00:42:40,630 –> 00:42:43,140
go get them you know what in the hell
you doing and you know there’s there’s

2242
00:42:43,140 –> 00:42:43,150
you doing and you know there’s there’s

2243
00:42:43,150 –> 00:42:44,670
you doing and you know there’s there’s
just no adult in the room saying that

2244
00:42:44,670 –> 00:42:44,680
just no adult in the room saying that

2245
00:42:44,680 –> 00:42:47,130
just no adult in the room saying that
and unfortunately I don’t think the

2246
00:42:47,130 –> 00:42:47,140
and unfortunately I don’t think the

2247
00:42:47,140 –> 00:42:48,359
and unfortunately I don’t think the
National Security Council President

2248
00:42:48,359 –> 00:42:48,369
National Security Council President

2249
00:42:48,369 –> 00:42:50,700
National Security Council President
Trump is is in a position with all the

2250
00:42:50,700 –> 00:42:50,710
Trump is is in a position with all the

2251
00:42:50,710 –> 00:42:52,740
Trump is is in a position with all the
political nature of everything that’s

2252
00:42:52,740 –> 00:42:52,750
political nature of everything that’s

2253
00:42:52,750 –> 00:42:57,480
political nature of everything that’s
going on to do this and we have a you

2254
00:42:57,480 –> 00:42:57,490
going on to do this and we have a you

2255
00:42:57,490 –> 00:43:00,809
going on to do this and we have a you
know the Department of Justice under its

2256
00:43:00,809 –> 00:43:00,819
know the Department of Justice under its

2257
00:43:00,819 –> 00:43:02,819
know the Department of Justice under its
current leadership just even with Jeff

2258
00:43:02,819 –> 00:43:02,829
current leadership just even with Jeff

2259
00:43:02,829 –> 00:43:04,620
current leadership just even with Jeff
Sessions being there I just don’t think

2260
00:43:04,620 –> 00:43:04,630
Sessions being there I just don’t think

2261
00:43:04,630 –> 00:43:07,230
Sessions being there I just don’t think
Jeff Sessions has the will to take on

2262
00:43:07,230 –> 00:43:07,240
Jeff Sessions has the will to take on

2263
00:43:07,240 –> 00:43:08,789
Jeff Sessions has the will to take on
something like that no matter how

2264
00:43:08,789 –> 00:43:08,799
something like that no matter how

2265
00:43:08,799 –> 00:43:11,700
something like that no matter how
glaring it is no matter how obvious it

2266
00:43:11,700 –> 00:43:11,710
glaring it is no matter how obvious it

2267
00:43:11,710 –> 00:43:13,680
glaring it is no matter how obvious it
is I think he’s got the confidence I

2268
00:43:13,680 –> 00:43:13,690
is I think he’s got the confidence I

2269
00:43:13,690 –> 00:43:15,390
is I think he’s got the confidence I
just don’t think he has the will to take

2270
00:43:15,390 –> 00:43:15,400
just don’t think he has the will to take

2271
00:43:15,400 –> 00:43:18,210
just don’t think he has the will to take
something on it requires some bravery

2272
00:43:18,210 –> 00:43:18,220
something on it requires some bravery

2273
00:43:18,220 –> 00:43:20,490
something on it requires some bravery
some cojones and and I just don’t

2274
00:43:20,490 –> 00:43:20,500
some cojones and and I just don’t

2275
00:43:20,500 –> 00:43:22,049
some cojones and and I just don’t
believe Jeff Sessions is that type of

2276
00:43:22,049 –> 00:43:22,059
believe Jeff Sessions is that type of

2277
00:43:22,059 –> 00:43:23,910
believe Jeff Sessions is that type of
person I think he has very little

2278
00:43:23,910 –> 00:43:23,920
person I think he has very little

2279
00:43:23,920 –> 00:43:27,210
person I think he has very little
personal courage in under a minute

2280
00:43:27,210 –> 00:43:27,220
personal courage in under a minute

2281
00:43:27,220 –> 00:43:29,220
personal courage in under a minute
is there new information about the

2282
00:43:29,220 –> 00:43:29,230
is there new information about the

2283
00:43:29,230 –> 00:43:31,920
is there new information about the
meeting on the tarmac between Loretta

2284
00:43:31,920 –> 00:43:31,930
meeting on the tarmac between Loretta

2285
00:43:31,930 –> 00:43:34,380
meeting on the tarmac between Loretta
Lynch and Bill Clinton because that that

2286
00:43:34,380 –> 00:43:34,390
Lynch and Bill Clinton because that that

2287
00:43:34,390 –> 00:43:37,799
Lynch and Bill Clinton because that that
struck me as being the key that’s

2288
00:43:37,799 –> 00:43:37,809
struck me as being the key that’s

2289
00:43:37,809 –> 00:43:40,500
struck me as being the key that’s
something really huge and very ugly was

2290
00:43:40,500 –> 00:43:40,510
something really huge and very ugly was

2291
00:43:40,510 –> 00:43:44,010
something really huge and very ugly was
going on there was no new information on

2292
00:43:44,010 –> 00:43:44,020
going on there was no new information on

2293
00:43:44,020 –> 00:43:45,539
going on there was no new information on
III didn’t focus on it when I was

2294
00:43:45,539 –> 00:43:45,549
III didn’t focus on it when I was

2295
00:43:45,549 –> 00:43:47,640
III didn’t focus on it when I was
reading the IG report the IG report is

2296
00:43:47,640 –> 00:43:47,650
reading the IG report the IG report is

2297
00:43:47,650 –> 00:43:50,069
reading the IG report the IG report is
five hundred and thirty pages or

2298
00:43:50,069 –> 00:43:50,079
five hundred and thirty pages or

2299
00:43:50,079 –> 00:43:53,010
five hundred and thirty pages or
something there about there and so it

2300
00:43:53,010 –> 00:43:53,020
something there about there and so it

2301
00:43:53,020 –> 00:43:54,539
something there about there and so it
just it’s one of those areas I haven’t

2302
00:43:54,539 –> 00:43:54,549
just it’s one of those areas I haven’t

2303
00:43:54,549 –> 00:43:54,820
just it’s one of those areas I haven’t
got

2304
00:43:54,820 –> 00:43:54,830
got

2305
00:43:54,830 –> 00:43:57,340
got
– yet so yes there is information I have

2306
00:43:57,340 –> 00:43:57,350
– yet so yes there is information I have

2307
00:43:57,350 –> 00:43:59,470
– yet so yes there is information I have
seen some reporting in the news on it so

2308
00:43:59,470 –> 00:43:59,480
seen some reporting in the news on it so

2309
00:43:59,480 –> 00:44:00,730
seen some reporting in the news on it so
there is discussion about it taking

2310
00:44:00,730 –> 00:44:00,740
there is discussion about it taking

2311
00:44:00,740 –> 00:44:04,630
there is discussion about it taking
place I but I am concentrating sort of

2312
00:44:04,630 –> 00:44:04,640
place I but I am concentrating sort of

2313
00:44:04,640 –> 00:44:06,280
place I but I am concentrating sort of
on the area that was my wheelhouse all

2314
00:44:06,280 –> 00:44:06,290
on the area that was my wheelhouse all

2315
00:44:06,290 –> 00:44:08,650
on the area that was my wheelhouse all
the classified information or not thank

2316
00:44:08,650 –> 00:44:08,660
the classified information or not thank

2317
00:44:08,660 –> 00:44:10,090
the classified information or not thank
you so much for taking this much time

2318
00:44:10,090 –> 00:44:10,100
you so much for taking this much time

2319
00:44:10,100 –> 00:44:13,000
you so much for taking this much time
with us and let’s do this again I mean

2320
00:44:13,000 –> 00:44:13,010
with us and let’s do this again I mean

2321
00:44:13,010 –> 00:44:16,020
with us and let’s do this again I mean
you know events are happening more

2322
00:44:16,020 –> 00:44:16,030
you know events are happening more

2323
00:44:16,030 –> 00:44:18,910
you know events are happening more
intensely in some ways and certainly

2324
00:44:18,910 –> 00:44:18,920
intensely in some ways and certainly

2325
00:44:18,920 –> 00:44:21,190
intensely in some ways and certainly
more frequently so we’re just gonna have

2326
00:44:21,190 –> 00:44:21,200
more frequently so we’re just gonna have

2327
00:44:21,200 –> 00:44:24,580
more frequently so we’re just gonna have
to do this again soon I maybe would add

2328
00:44:24,580 –> 00:44:24,590
to do this again soon I maybe would add

2329
00:44:24,590 –> 00:44:26,830
to do this again soon I maybe would add
one thing if you’re gonna try to use it

2330
00:44:26,830 –> 00:44:26,840
one thing if you’re gonna try to use it

2331
00:44:26,840 –> 00:44:30,060
one thing if you’re gonna try to use it
today the Supreme Court came out with a

2332
00:44:30,060 –> 00:44:30,070
today the Supreme Court came out with a

2333
00:44:30,070 –> 00:44:32,530
today the Supreme Court came out with a
ruling and it was on something that’s

2334
00:44:32,530 –> 00:44:32,540
ruling and it was on something that’s

2335
00:44:32,540 –> 00:44:34,900
ruling and it was on something that’s
extremely important on the politics

2336
00:44:34,900 –> 00:44:34,910
extremely important on the politics

2337
00:44:34,910 –> 00:44:37,180
extremely important on the politics
affecting the United States and let me

2338
00:44:37,180 –> 00:44:37,190
affecting the United States and let me

2339
00:44:37,190 –> 00:44:38,680
affecting the United States and let me
make another prediction based on that

2340
00:44:38,680 –> 00:44:38,690
make another prediction based on that

2341
00:44:38,690 –> 00:44:41,200
make another prediction based on that
the Supreme Court ruled today that you

2342
00:44:41,200 –> 00:44:41,210
the Supreme Court ruled today that you

2343
00:44:41,210 –> 00:44:43,540
the Supreme Court ruled today that you
cannot be forced to join a union there

2344
00:44:43,540 –> 00:44:43,550
cannot be forced to join a union there

2345
00:44:43,550 –> 00:44:46,630
cannot be forced to join a union there
were the the majority of the states had

2346
00:44:46,630 –> 00:44:46,640
were the the majority of the states had

2347
00:44:46,640 –> 00:44:48,730
were the the majority of the states had
already had right-to-work laws but there

2348
00:44:48,730 –> 00:44:48,740
already had right-to-work laws but there

2349
00:44:48,740 –> 00:44:50,800
already had right-to-work laws but there
were 22 states that did not this now

2350
00:44:50,800 –> 00:44:50,810
were 22 states that did not this now

2351
00:44:50,810 –> 00:44:53,110
were 22 states that did not this now
makes it nationwide that you cannot be

2352
00:44:53,110 –> 00:44:53,120
makes it nationwide that you cannot be

2353
00:44:53,120 –> 00:44:55,030
makes it nationwide that you cannot be
forced to join a union

2354
00:44:55,030 –> 00:44:55,040
forced to join a union

2355
00:44:55,040 –> 00:44:57,190
forced to join a union
but it went one step further it also

2356
00:44:57,190 –> 00:44:57,200
but it went one step further it also

2357
00:44:57,200 –> 00:44:59,590
but it went one step further it also
said that you have to be given the

2358
00:44:59,590 –> 00:44:59,600
said that you have to be given the

2359
00:44:59,600 –> 00:45:02,110
said that you have to be given the
option when you get hired to opt in or

2360
00:45:02,110 –> 00:45:02,120
option when you get hired to opt in or

2361
00:45:02,120 –> 00:45:04,240
option when you get hired to opt in or
opt out you have to be given the option

2362
00:45:04,240 –> 00:45:04,250
opt out you have to be given the option

2363
00:45:04,250 –> 00:45:06,220
opt out you have to be given the option
so you’re not just like automatically

2364
00:45:06,220 –> 00:45:06,230
so you’re not just like automatically

2365
00:45:06,230 –> 00:45:08,020
so you’re not just like automatically
enrolled and then they give you a way to

2366
00:45:08,020 –> 00:45:08,030
enrolled and then they give you a way to

2367
00:45:08,030 –> 00:45:09,970
enrolled and then they give you a way to
get out later or something you have to

2368
00:45:09,970 –> 00:45:09,980
get out later or something you have to

2369
00:45:09,980 –> 00:45:11,920
get out later or something you have to
be given the option up front so this is

2370
00:45:11,920 –> 00:45:11,930
be given the option up front so this is

2371
00:45:11,930 –> 00:45:13,450
be given the option up front so this is
extraordinarily important and what’s

2372
00:45:13,450 –> 00:45:13,460
extraordinarily important and what’s

2373
00:45:13,460 –> 00:45:15,430
extraordinarily important and what’s
going to happen I don’t think this is

2374
00:45:15,430 –> 00:45:15,440
going to happen I don’t think this is

2375
00:45:15,440 –> 00:45:18,070
going to happen I don’t think this is
much of a project prediction but what’s

2376
00:45:18,070 –> 00:45:18,080
much of a project prediction but what’s

2377
00:45:18,080 –> 00:45:19,360
much of a project prediction but what’s
going to happen is that you’re gonna see

2378
00:45:19,360 –> 00:45:19,370
going to happen is that you’re gonna see

2379
00:45:19,370 –> 00:45:22,660
going to happen is that you’re gonna see
the union’s shrink very quickly and and

2380
00:45:22,660 –> 00:45:22,670
the union’s shrink very quickly and and

2381
00:45:22,670 –> 00:45:27,130
the union’s shrink very quickly and and
so they’re their base of income will cut

2382
00:45:27,130 –> 00:45:27,140
so they’re their base of income will cut

2383
00:45:27,140 –> 00:45:29,350
so they’re their base of income will cut
be cut to a much smaller percentage very

2384
00:45:29,350 –> 00:45:29,360
be cut to a much smaller percentage very

2385
00:45:29,360 –> 00:45:31,240
be cut to a much smaller percentage very
quickly right away you’re gonna see this

2386
00:45:31,240 –> 00:45:31,250
quickly right away you’re gonna see this

2387
00:45:31,250 –> 00:45:34,180
quickly right away you’re gonna see this
happen and those are one of the main

2388
00:45:34,180 –> 00:45:34,190
happen and those are one of the main

2389
00:45:34,190 –> 00:45:36,400
happen and those are one of the main
blocks of donations back to the

2390
00:45:36,400 –> 00:45:36,410
blocks of donations back to the

2391
00:45:36,410 –> 00:45:39,730
blocks of donations back to the
Democratic Party so this is a severe

2392
00:45:39,730 –> 00:45:39,740
Democratic Party so this is a severe

2393
00:45:39,740 –> 00:45:42,670
Democratic Party so this is a severe
economic hit to the Democratic Party

2394
00:45:42,670 –> 00:45:42,680
economic hit to the Democratic Party

2395
00:45:42,680 –> 00:45:45,430
economic hit to the Democratic Party
going into the midterm elections so it’s

2396
00:45:45,430 –> 00:45:45,440
going into the midterm elections so it’s

2397
00:45:45,440 –> 00:45:47,500
going into the midterm elections so it’s
I think it’s a very important factor

2398
00:45:47,500 –> 00:45:47,510
I think it’s a very important factor

2399
00:45:47,510 –> 00:45:49,390
I think it’s a very important factor
going into the midterm elections and

2400
00:45:49,390 –> 00:45:49,400
going into the midterm elections and

2401
00:45:49,400 –> 00:45:51,430
going into the midterm elections and
here’s my prediction out of this I think

2402
00:45:51,430 –> 00:45:51,440
here’s my prediction out of this I think

2403
00:45:51,440 –> 00:45:52,660
here’s my prediction out of this I think
immediately you’re gonna see the

2404
00:45:52,660 –> 00:45:52,670
immediately you’re gonna see the

2405
00:45:52,670 –> 00:45:55,600
immediately you’re gonna see the
Democrats wrecking I mean they they know

2406
00:45:55,600 –> 00:45:55,610
Democrats wrecking I mean they they know

2407
00:45:55,610 –> 00:45:57,760
Democrats wrecking I mean they they know
this is a big hit and this is going to

2408
00:45:57,760 –> 00:45:57,770
this is a big hit and this is going to

2409
00:45:57,770 –> 00:45:59,410
this is a big hit and this is going to
have them running scared so my

2410
00:45:59,410 –> 00:45:59,420
have them running scared so my

2411
00:45:59,420 –> 00:46:00,580
have them running scared so my
prediction is that you’re going to see

2412
00:46:00,580 –> 00:46:00,590
prediction is that you’re going to see

2413
00:46:00,590 –> 00:46:03,310
prediction is that you’re going to see
them very quickly demand that we have a

2414
00:46:03,310 –> 00:46:03,320
them very quickly demand that we have a

2415
00:46:03,320 –> 00:46:06,610
them very quickly demand that we have a
reform for the campaign laws and the way

2416
00:46:06,610 –> 00:46:06,620
reform for the campaign laws and the way

2417
00:46:06,620 –> 00:46:08,170
reform for the campaign laws and the way
that contributions are made and how

2418
00:46:08,170 –> 00:46:08,180
that contributions are made and how

2419
00:46:08,180 –> 00:46:10,299
that contributions are made and how
they’re there how the where the money

2420
00:46:10,299 –> 00:46:10,309
they’re there how the where the money

2421
00:46:10,309 –> 00:46:12,040
they’re there how the where the money
comes from and so on you’re gonna see

2422
00:46:12,040 –> 00:46:12,050
comes from and so on you’re gonna see

2423
00:46:12,050 –> 00:46:14,109
comes from and so on you’re gonna see
you’re gonna see them want to do that

2424
00:46:14,109 –> 00:46:14,119
you’re gonna see them want to do that

2425
00:46:14,119 –> 00:46:16,839
you’re gonna see them want to do that
fairly soon I believe because they’re

2426
00:46:16,839 –> 00:46:16,849
fairly soon I believe because they’re

2427
00:46:16,849 –> 00:46:18,069
fairly soon I believe because they’re
gonna have to make up for this money

2428
00:46:18,069 –> 00:46:18,079
gonna have to make up for this money

2429
00:46:18,079 –> 00:46:20,650
gonna have to make up for this money
someplace and it was a huge percentage

2430
00:46:20,650 –> 00:46:20,660
someplace and it was a huge percentage

2431
00:46:20,660 –> 00:46:22,180
someplace and it was a huge percentage
of their overall contributions coming

2432
00:46:22,180 –> 00:46:22,190
of their overall contributions coming

2433
00:46:22,190 –> 00:46:25,450
of their overall contributions coming
out of unions so I think it’s a very big

2434
00:46:25,450 –> 00:46:25,460
out of unions so I think it’s a very big

2435
00:46:25,460 –> 00:46:27,040
out of unions so I think it’s a very big
deal politically and I think it’s one of

2436
00:46:27,040 –> 00:46:27,050
deal politically and I think it’s one of

2437
00:46:27,050 –> 00:46:29,290
deal politically and I think it’s one of
the many reasons why I may be under

2438
00:46:29,290 –> 00:46:29,300
the many reasons why I may be under

2439
00:46:29,300 –> 00:46:32,140
the many reasons why I may be under
estimating the level of the wind that

2440
00:46:32,140 –> 00:46:32,150
estimating the level of the wind that

2441
00:46:32,150 –> 00:46:34,180
estimating the level of the wind that
you’ll see for Republicans this coming

2442
00:46:34,180 –> 00:46:34,190
you’ll see for Republicans this coming

2443
00:46:34,190 –> 00:46:36,040
you’ll see for Republicans this coming
November it may be even higher than I’m

2444
00:46:36,040 –> 00:46:36,050
November it may be even higher than I’m

2445
00:46:36,050 –> 00:46:37,960
November it may be even higher than I’m
that I’m saying I mean there’s it’s

2446
00:46:37,960 –> 00:46:37,970
that I’m saying I mean there’s it’s

2447
00:46:37,970 –> 00:46:39,790
that I’m saying I mean there’s it’s
conceivable you could have up to six

2448
00:46:39,790 –> 00:46:39,800
conceivable you could have up to six

2449
00:46:39,800 –> 00:46:41,650
conceivable you could have up to six
seats in the Senate go Republican and

2450
00:46:41,650 –> 00:46:41,660
seats in the Senate go Republican and

2451
00:46:41,660 –> 00:46:43,480
seats in the Senate go Republican and
and maybe you know even to twenty or

2452
00:46:43,480 –> 00:46:43,490
and maybe you know even to twenty or

2453
00:46:43,490 –> 00:46:45,970
and maybe you know even to twenty or
thirty seats wing in the house so we’ll

2454
00:46:45,970 –> 00:46:45,980
thirty seats wing in the house so we’ll

2455
00:46:45,980 –> 00:46:47,319
thirty seats wing in the house so we’ll
see it’s gonna be an interesting period

2456
00:46:47,319 –> 00:46:47,329
see it’s gonna be an interesting period

2457
00:46:47,329 –> 00:46:49,270
see it’s gonna be an interesting period
of time I look forward to the next few

2458
00:46:49,270 –> 00:46:49,280
of time I look forward to the next few

2459
00:46:49,280 –> 00:46:51,069
of time I look forward to the next few
months in the elections in November yes

2460
00:46:51,069 –> 00:46:51,079
months in the elections in November yes

2461
00:46:51,079 –> 00:46:52,540
months in the elections in November yes
and you know that is incredibly good

2462
00:46:52,540 –> 00:46:52,550
and you know that is incredibly good

2463
00:46:52,550 –> 00:46:55,420
and you know that is incredibly good
news in Canada the unions are the most

2464
00:46:55,420 –> 00:46:55,430
news in Canada the unions are the most

2465
00:46:55,430 –> 00:46:56,890
news in Canada the unions are the most
for the richest and most powerful

2466
00:46:56,890 –> 00:46:56,900
for the richest and most powerful

2467
00:46:56,900 –> 00:46:58,599
for the richest and most powerful
organizations they own most of Toronto

2468
00:46:58,599 –> 00:46:58,609
organizations they own most of Toronto

2469
00:46:58,609 –> 00:47:01,000
organizations they own most of Toronto
just the teachers union alone it’s it’s

2470
00:47:01,000 –> 00:47:01,010
just the teachers union alone it’s it’s

2471
00:47:01,010 –> 00:47:03,250
just the teachers union alone it’s it’s
it’s people would have people have no

2472
00:47:03,250 –> 00:47:03,260
it’s people would have people have no

2473
00:47:03,260 –> 00:47:06,579
it’s people would have people have no
idea how the depth of the problems that

2474
00:47:06,579 –> 00:47:06,589
idea how the depth of the problems that

2475
00:47:06,589 –> 00:47:08,500
idea how the depth of the problems that
unions present Canada because they don’t

2476
00:47:08,500 –> 00:47:08,510
unions present Canada because they don’t

2477
00:47:08,510 –> 00:47:10,960
unions present Canada because they don’t
have the right to to refuse to join it

2478
00:47:10,960 –> 00:47:10,970
have the right to to refuse to join it

2479
00:47:10,970 –> 00:47:13,180
have the right to to refuse to join it
anyway once again thank you very much

2480
00:47:13,180 –> 00:47:13,190
anyway once again thank you very much

2481
00:47:13,190 –> 00:47:16,299
anyway once again thank you very much
for for joining us and let’s I’m really

2482
00:47:16,299 –> 00:47:16,309
for for joining us and let’s I’m really

2483
00:47:16,309 –> 00:47:17,349
for for joining us and let’s I’m really
looking forward to seeing how all this

2484
00:47:17,349 –> 00:47:17,359
looking forward to seeing how all this

2485
00:47:17,359 –> 00:47:22,060
looking forward to seeing how all this
plays up

2486
00:47:22,060 –> 00:47:22,070

2487
00:47:22,070 –> 00:47:25,130
[Music]

2488
00:47:25,130 –> 00:47:25,140
[Music]

2489
00:47:25,140 –> 00:47:38,760
[Music]
such trust Fiat SpA Porter Romania

2490
00:47:38,760 –> 00:47:38,770
such trust Fiat SpA Porter Romania

2491
00:47:38,770 –> 00:47:41,730
such trust Fiat SpA Porter Romania
Romania with Russia Asia Rajasthan

2492
00:47:41,730 –> 00:47:41,740
Romania with Russia Asia Rajasthan

2493
00:47:41,740 –> 00:47:44,490
Romania with Russia Asia Rajasthan
through SWAT nearest year the very in

2494
00:47:44,490 –> 00:47:44,500
through SWAT nearest year the very in

2495
00:47:44,500 –> 00:47:48,780
through SWAT nearest year the very in
there s novotna to Davos I use write his

2496
00:47:48,780 –> 00:47:48,790
there s novotna to Davos I use write his

2497
00:47:48,790 –> 00:47:51,750
there s novotna to Davos I use write his
carefully barista

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