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Speaker 1: Yes, all right, glad you with us? What is he

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Speaker 1: coming on? Don Junior? We're gonna five? What are you talking?

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Speaker 1: Welcome to the NBC Debate. I m here. I am

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Speaker 1: your conspiracy theorist host Roswell Rachel Maddow, and we hosted

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Speaker 1: Meet the next week. I think we're having a little

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Speaker 1: mic issue. Guys in the background, Oh well, we're having

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Speaker 1: a little mic issue. Oh god, sorry, Sean, do we

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Speaker 1: name an engineer that actually knows what they're doing? Now?

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Speaker 1: Who would you call? NBC? How did Roswell Rachel Maddow

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Speaker 1: get to be a part of it? Maybe you should

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Speaker 1: explain to our audience what we just well, yeah, that

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Speaker 1: was a reenangment of the Democratic Debate last night run

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Speaker 1: by NBA Stella Performance Performance. And then they you know,

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Speaker 1: changed host midway through the debate and they go to Roswell,

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Speaker 1: Rachel Maddow and Chucky Todd and uh, it wasn't working

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Speaker 1: out well because they had hot mics on and couldn't

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Speaker 1: the producers please please shut us up? What is happening here?

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Speaker 1: Many of you are calling for a restoration of an

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Speaker 1: assault weapons ban, but even if implemented, there will still

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Speaker 1: be hundreds of millions of guns in this country? Should

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Speaker 1: there be a role for the federal government everybody's microseron.

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Speaker 1: I think we have a I heard that too. That's okay.

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Speaker 1: I think we had a little mic issue in the

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Speaker 1: back control room. We've got caught. We had the I

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Speaker 1: think we heard Yeah, we have the audience audio. All right.

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Speaker 1: So the question is simply this we're taught we're from.

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Speaker 1: I apologize you guys didn't get to hear this the

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Speaker 1: first part of the question. Obviously we're not far from Parkland, Florida.

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Speaker 1: But even if it's put in place, are still going

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Speaker 1: to be perhaps hundreds of millions of guns still on

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Speaker 1: the streets. Is there a role for the federal governments

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Speaker 1: in order to play in order to get these guns

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Speaker 1: off the streets? What's happening? We are hearing our colleagues audio,

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Speaker 1: if the control room, if the if the control of

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Speaker 1: them can turn off the likes of our previous moderators.

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Speaker 1: You know, we've prepared for everything. Guess what, guys, we

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Speaker 1: are gonna take a quick break. We're gonna get this

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Speaker 1: technical uh situation effects. We will be right back. Uh yeah.

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Speaker 1: But by the way, that's what you'd expect from fake

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Speaker 1: news conspiracy TV anyway, isn't it. I mean, let's be honest. Uh. Well,

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Speaker 1: you know, look, technical glitches happen. What are you gonna do?

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Speaker 1: Uh we prepared for everything. We didn't prepare for this.

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Speaker 1: Um glad you're with us eight hundred and nine four

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Speaker 1: one sean if you want to be a part of

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Speaker 1: this extravagance. And now over speaking of NBC News hosting

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Speaker 1: the Democratic extreme radical socialists on the stage last night,

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Speaker 1: and even they are recognizing they're so depressed about the

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Speaker 1: way the candidates handled themselves that they're pronouncing the winner

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Speaker 1: of last night's debate, Donald Trump, and they be the

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Speaker 1: big winner of the first debate. The Republican commander in chief,

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Speaker 1: by the way, was on his way to an economic

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Speaker 1: summit the G twenty in Japan emerged from the You know,

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Speaker 1: all of this unscathed, barely mentioned, although that was probably

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Speaker 1: a strategy going in. But I promise you that's all

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Speaker 1: gonna change. But what you did get, besides being dull, repetitive, loud,

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Speaker 1: and boring most of the time, you know, ten candidates

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Speaker 1: in the room, you know, competing against one another to

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Speaker 1: appeal to appeal, basically to the narrowest subset of radical Democrats.

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Speaker 1: There's no such thing as a moderate Democrat anymore. They

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Speaker 1: don't exist. You know, they're an extinct political brand. I

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Speaker 1: think the last one we had Senator Joe Lieberman and

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Speaker 1: then he lost his primary in Connecticut and then ran

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Speaker 1: as an independent did win. But you know, when you

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Speaker 1: kick out the former vice presidential candidate of your own

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Speaker 1: party just a few years after he ran, you got

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Speaker 1: yourself a problem. And that is where the Democratic Party

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Speaker 1: is right now. You know, that's like they forget that.

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Speaker 1: The men, you know, the guy who's been a pretty

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Speaker 1: much the discussion of everything Democratic the last two years,

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Speaker 1: and they're going to be competing against next year that

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Speaker 1: has more charisma than all of them combined on an

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Speaker 1: awful day. You know, it's it's not good. Then you

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Speaker 1: got to look at where they are. This is not

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Speaker 1: a party that is governing. There's not a party that's

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Speaker 1: offering solutions. You know, the American people of certain expectations

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Speaker 1: of government. One is, you know, they're all supposed to

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Speaker 1: be public servants. They're supposed to serve the American people.

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Speaker 1: And you know, when Hollywood even gets it right, in

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Speaker 1: Hollywood says that was a disaster. Bill Maher said, you know,

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Speaker 1: right out of the box, they couldn't answer the first

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Speaker 1: question about, well, seventy percent of Americans think the economy

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Speaker 1: is going pretty darn good. How do you deal with that?

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Speaker 1: They won't admit a simple, basic, fundamental truth about the

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Speaker 1: economy because they're just so full of Trump rage and hate.

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Speaker 1: And what they're asking is they want to go back,

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Speaker 1: not only till the Obama years, which economically foreign policy wise,

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Speaker 1: were a disaster that they want they want to go

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Speaker 1: much further than that. So their main obsession of this

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Speaker 1: new radical, extreme democratic socialist party is hating Trump. You know.

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Speaker 1: Now they want a fifth investigation in the Russia illusion.

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Speaker 1: But that's blowing up in their face. Robert Mueller is

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Speaker 1: going to blow up in their face when he testifies

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Speaker 1: when the Republicans ask him fair and tough questions about how,

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Speaker 1: you know, how did you not find a single Republican?

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Speaker 1: How do you hire Hillary's former attorney? How do you

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Speaker 1: hire somebody like Andrew Weissman with his atrocious track record?

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Speaker 1: You know, how do you you know, talk about and

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Speaker 1: investigate endlessly and exhaustively, you know, things like taxi medallions

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Speaker 1: and FARA violations and tax accounts, which you know, I

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Speaker 1: get it. You had a broad mandate, and ignore the

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Speaker 1: dirty Russian dossier that was disseminated and leaked to the

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Speaker 1: American people for the purposes of driving votes and rigging

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Speaker 1: an election. Russian lies. How do you not look into

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Speaker 1: the dirty dossier, the Russian dossier that is unverifiable. But

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Speaker 1: your buddy, your friend, your pal, James Comey is the

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Speaker 1: one that signed off on it as having been verified

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Speaker 1: when its own author says it's unverifiable. He's got a

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Speaker 1: lot of tough questions here. And you look at you know,

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Speaker 1: all of these candidates are just trying to go further

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Speaker 1: and further and further extreme left, which is not bad

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Speaker 1: if you are happy with the conservative policies that are working.

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Speaker 1: You know, there's basic fundamental truths in life. And Obama's

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Speaker 1: record now is what it is. Nobody ever talked about it,

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Speaker 1: just like they never vetted him from the day Barack

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Speaker 1: Obama hit the public stage and hope and change and

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Speaker 1: yes we can you know, was you know, echoed by

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Speaker 1: the loving news media that you know, it's like Obama

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Speaker 1: gasms is how I described it at the time. I

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Speaker 1: mean they could not control themselves, or like Chris Matthews,

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Speaker 1: I can't believe I'm having a thrill up running up

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Speaker 1: and down my leg. All right, down, boy, hang on there, relax,

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Speaker 1: calm down. The feeling most people get when they hear

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Speaker 1: of Barack Obama, spich Mike. I felt this thrill going

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Speaker 1: up my leg. I had a thrill running up until

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Speaker 1: my leg. I mean, where did that come from? But

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Speaker 1: it prevents the vetting of Obama and Obama's you know,

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Speaker 1: the Chom Gang, the Frank Marshall Davis influence. They I

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Speaker 1: did drugs, and I did them enthusiastically. Imagine any candidate

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Speaker 1: on tape actually saying, you know, white man's greed runs

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Speaker 1: a world in need and all of this stuff were

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Speaker 1: acorn and community organizing, and nobody knew anything about that.

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Speaker 1: What was any of that about? I spent the last

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Speaker 1: two years of high school in the days, blocking away

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Speaker 1: the questions that life seem insistent on posing. I kept

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Speaker 1: playing basketball, attended classes sparingly, drank beer heavily, and tried

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Speaker 1: drugs enthusiastically. I discovered that it didn't make any difference

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Speaker 1: whether you smoked reefer in the white classmates sparkling new van,

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Speaker 1: or in the dorm room of some brother you'd met

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Speaker 1: down at the gym, or on the beach with a

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Speaker 1: couple of Hawaiian kids who had dropped out of school

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Speaker 1: and now spent most of their time looking for an

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Speaker 1: excuse to brawl. Wow, sounds like a great life, great

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Speaker 1: preparation to be president. But they didn't investigate or care.

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Speaker 1: I mean, it's been a dramatic change. I mean, you know,

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Speaker 1: well I tried. I tried it, but I didn't Inhale No, No,

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Speaker 1: I didn't Inhale thing. I just you know, tried it um,

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Speaker 1: which became quintessential Clinton. Over the years, you know, little

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Speaker 1: these things about these guys become very revealing. Well, you know,

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Speaker 1: what is a community organimed? What was acorn? What was

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Speaker 1: black liberation theology that so influenced him to join the

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Speaker 1: Church of gd America and America's chickens coming home to

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Speaker 1: roost and Flager and and and Airs and Dorn And

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Speaker 1: I knew it. We couldn't prove it. Now we can

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Speaker 1: a relationship with Lewis Farrakahn. But they hid that picture

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Speaker 1: as a means of deceiving the American people. I doubt

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Speaker 1: Donald Trump would have gotten away with such. Meanwhile, every

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Speaker 1: Republican it's you know, look at look at it. You

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Speaker 1: know there's one thing. Look at Mitt Romney. Mitt Romney,

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Speaker 1: and nobody doubts Mitt Romney's a nice man. He's a

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Speaker 1: good guy, would have been a much better president, has

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Speaker 1: the right conservative instincts, as a good family. He's very

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Speaker 1: different stylistically from Trump. But you know, he was nice,

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Speaker 1: and they still called him a racist, the sexist, the misogynist,

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Speaker 1: and how dare he have women's resumes binders of women?

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Speaker 1: And you know he cut a kid's hair back and

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Speaker 1: boarding school wherever he's going to school. You know, it

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Speaker 1: doesn't matter if Mitt Romney's nice, they're gonna slander, smirch, smear,

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Speaker 1: you know, racist, sexist, homophobic, zenophobic, misogynistic, islamophobic, dirty air water,

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Speaker 1: killed children and throw granny over the cliff. It's it's now,

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Speaker 1: It's like it's not even every two and four years,

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Speaker 1: it's every second, minute, hour of every day, except it's

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Speaker 1: focused on Trump. That's not going to win them to

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Speaker 1: the election. And this then you add to that every

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Speaker 1: one of these people as some sick, twisted, ugly version

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Speaker 1: of the New Green Deal that that's not gonna work either.

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Speaker 1: And I'm just looking. I don't even know who half

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Speaker 1: these people are on the stage last night. I'm like,

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Speaker 1: who's that. I have no idea, they have no charisma.

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Speaker 1: Even a Costio Cortez said, it's like a bunch of

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Speaker 1: high school kids who didn't seem to read the book.

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Speaker 1: That was her description of last night's debate, not mine.

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Speaker 1: And it got worse from there. And it really reveals

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Speaker 1: some insane things that are required if you want to

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Speaker 1: be a liberal today, including adopting a Cosio Cortez's Green Deal,

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Speaker 1: or the seventy percent top marginal rate on individuals, ninety

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Speaker 1: percent top marginal rate on corporations and Medicare for all,

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Speaker 1: and immigration. You know, we're gonna, we're gonna, We're gonna

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Speaker 1: have open borders and endless amnesty, etcetera, etcetera. We're not

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Speaker 1: gonna be a nation of laws, you know. Okay, so

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Speaker 1: they called even their clashes are contrived. It's not a

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Speaker 1: hell of a lot of difference between any of them.

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Speaker 1: They all hate the rich. They all want to tax

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Speaker 1: the rich to death. You at tax the rich, attacks

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Speaker 1: corporations at the rates they're talking about, and then add

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Speaker 1: a wealth tax to it, and then increase the death tax.

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Speaker 1: Then you're gonna get one. New York, New Jersey, Illinois,

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Speaker 1: and California are experiencing and a mass exodus of people,

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Speaker 1: except this time they'll be leaving the United States for

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Speaker 1: greener pastures that accept freedom. Because everything that they're discussing

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Speaker 1: here has been tried over and over again and has

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Speaker 1: failed spectacularly. You know, you take the one big signature

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Speaker 1: of Barack Obama and Biden Obamacare, keep your doctor, keep

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Speaker 1: your plan, pay less. It was all a big lie.

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Speaker 1: Millions lost their doctors, millions lost their plans, and everybody

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Speaker 1: paid a lot more, a hell of a lot more

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Speaker 1: in some cases one hundred two hundred, three hundred percent more. Well,

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Speaker 1: that didn't exactly work. But now they'll give you Medicare

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Speaker 1: for all, and we'll give you, you know, government sponsored

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Speaker 1: pre K and doctrinate your kids even earlier, and then

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Speaker 1: government guaranteed retirement, job vacation, healthy food. But we'll have

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Speaker 1: no gas or oil as the lightblood of our economy. Whoops,

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Speaker 1: no combustion engine and no cows and no airplanes. We

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Speaker 1: will become a third world country in about you know,

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Speaker 1: ten minutes. But you know, never mind, the air will

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Speaker 1: be healthier according to them. I don't know which particular

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Speaker 1: country they're talking about or comparing themselves too. How did

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Speaker 1: fake news conspiracy TV MSNBC. So you have the country's

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Speaker 1: number one conspiracy theorist, Roswell, Rachel Mattaw How did she

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Speaker 1: get to be the person that asked the questions? Well,

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Speaker 1: in many ways, that has I guess it's, you know,

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Speaker 1: a sign of the times, because that's where most of

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Speaker 1: these same Democrats are anyway, buying into hoax lies, conspiracy theories,

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Speaker 1: believing you know, anything negative about Trump. You know, all

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Speaker 1: these candidates all in on amnesty, all in on open borders,

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Speaker 1: all in on tax the rich, all in on Medicare

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Speaker 1: for all? But how did Obamacare work out? How does

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Speaker 1: big business? Does anybody know what a business has to do?

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Speaker 1: How did business people become you know, the enemy of

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Speaker 1: the people. You know, you know, who is this economy

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Speaker 1: really working for? It's it's doing great for, you know,

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Speaker 1: thinner and thinner slices at the time. That what world

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Speaker 1: does she living? We have six million more Americans working,

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Speaker 1: Elizabeth Warren, six million more under Donald Trump. We have

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Speaker 1: six million fewer Americans on food stamps. We have the

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Speaker 1: best job market that we've had to nineteen sixty nine,

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Speaker 1: record low unemployment for every demographic that the Democrats claim

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Speaker 1: that they have a monopoly of compassion on, you know,

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Speaker 1: African Americans, Asian Americans, Hispanic Americans, women in the workforce,

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Speaker 1: youth unemployment. You know, where did this open border mentality

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Speaker 1: come from? And you know, I'm watching and I'm listening,

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Speaker 1: and everything is gonna be free. And then there, well,

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Speaker 1: what is the greatest geopolitical threat to the United States? Oh?

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Speaker 1: Donald Trump is the answer of some climate change is

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Speaker 1: the answer of Corey Booker, Bozo o'roor Corey Elizabeth Warren.

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Speaker 1: You know, oh man, you can where do I even start? Booker?

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Speaker 1: What would you do on day one? And this is

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Speaker 1: a situation that the next president will inheritance? Is in acceptable?

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Speaker 1: Presidente Atago Dimonadado los Ima Grant says, in acceptable? What

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Speaker 1: would you do collegeman day one at the White House?

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Speaker 1: Respecto medicine umanos. I think of it this way, who

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Speaker 1: is this economy really working for? It's doing great for

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Speaker 1: thinner and thinner slice at the top, it's doing great

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Speaker 1: for giant drug companies. It's just not doing great for

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Speaker 1: people who are trying to get a prescription filled. It's

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Speaker 1: doing great for people who want to invest in private prisons,

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Speaker 1: just not for the African Americans and Latin x whose

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Speaker 1: families are torn apart, whose lives are destroyed, and whose

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Speaker 1: communities are ruined. I think we have our serious problem

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Speaker 1: in our country with corporate consolidation. You see the evidence

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Speaker 1: of that in how dignity is being stripped from labor

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Speaker 1: and we are people that work full time jobs and

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Speaker 1: still can't make a living wage. We see that because

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Speaker 1: consumer prices are being raised by pharmaceutical companies that often

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Speaker 1: have monopolistic holds on drugs. And you see that by

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Speaker 1: just the fact that this is actually an economy that's

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Speaker 1: hurting small businesses and not allowing them to compete. Right now,

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Speaker 1: we have a system that favors those who can pay

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Speaker 1: for access and outcomes. That's how you explain an economy

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Speaker 1: that has rigged to corporations and to the very wealthiest.

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Speaker 1: A two trillion dollar tax cut that favored corporations while

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Speaker 1: they were sitting on record piles of cash, and the

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Speaker 1: very wealthiest in this country at a time of historic

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Speaker 1: wealth inequality. We are supposed to break up big corporations

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Speaker 1: when they're not serving our democracy. It is not right

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Speaker 1: that the CEO of McDonald's makes two one hundred times

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Speaker 1: more than the people singing hash and McDonald's. Would your

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Speaker 1: plan cover abortion, mister Secretary, Yes, it would. I don't

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Speaker 1: believe only in reproductive freedom. I believe in reproductive justice.

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Speaker 1: And you know what that means is that just because

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Speaker 1: a woman or let's also not forget someone in the

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Speaker 1: trans community, a trans email his core, doesn't mean they

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Speaker 1: shouldn't have the right to exercise that right to choose.

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Speaker 1: And so I absolutely would cover the right to have

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Speaker 1: an abortion. Senator, where would you put limits on any

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Speaker 1: limits on abortion? I would make certain that every woman

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Speaker 1: has access to the full range of reproductive healthcare services,

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Speaker 1: and that includes birth control, it includes abortion, it includes

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Speaker 1: everything for a woman. I want to add on that

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Speaker 1: it's not enough for us to expect the courts to

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Speaker 1: protect us. Forty seven years ago, Row versus Wade was decided,

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Speaker 1: and we've all looked to the courts all that time

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Speaker 1: as state after state has undermined Row has put in exceptions,

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Speaker 1: has come right up to the edge of taking away protection.

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Speaker 1: It's not true anyway, glad you whether it's twenty four

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Speaker 1: till the top of the hour from this crazy, radical,

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Speaker 1: extreme new Democratic Party. I mean, okay, we're gonna see

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Speaker 1: I got an idea. What's the idea? So we wait?

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Speaker 1: Where you got? I got a guy? No it, I

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Speaker 1: get a guy. I got a gate. So I was

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Speaker 1: thinking just a little something something that maybe you should

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Speaker 1: host next Democratic debate. Oh, we're gonna get into this

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Speaker 1: in a second. We're gonna talk about pardon me, pardon me. No,

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Speaker 1: I'm getting to that. I want to host the me

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Speaker 1: Rush Levin, But you gotta host the Democratic debates, not

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Speaker 1: the Republican Oh yeah, yeah, I think it'd be great

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Speaker 1: to Democrat counterparts and say to my Democratic College is

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Speaker 1: my buddy Livin? All right, I'm gonna ask the questions.

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Speaker 1: You can't lead it. You got to lead it. Well,

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Speaker 1: I'll be glad to lead it. I mean whatever, I

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Speaker 1: don't care. I don't have to be the lead that.

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Speaker 1: I just need you to be the lead. They're never

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Speaker 1: going to let me host a or ask a question

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Speaker 1: of any of them. And this is how we pose it.

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Speaker 1: We say, you know, just like Hillary Clinton said, she

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Speaker 1: didn't care about the other fifty percent of America. But

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Speaker 1: we don't think that about this new uh, you know,

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Speaker 1: this new selection of candidates. We believe that you want

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Speaker 1: to talk to all of America, you want to be

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Speaker 1: the president of all of America. You want to unify

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Speaker 1: the nation in a view of your you know, amazing

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Speaker 1: tolerance of your party. And then see how many of

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Speaker 1: them mull sign up? None? And why you even waste

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Speaker 1: an airtime because we know the answer to that. That's

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Speaker 1: a nice thing to say. They're they're not gonna let

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Speaker 1: me get near them. They don't want listen. How many

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Speaker 1: hours have we offered hip cowardly Shift and Nadler? What

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Speaker 1: do they say when you call them? Yeah? But Shift

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Speaker 1: doesn't give a shift. That's the problem. We should doesn't

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Speaker 1: give a shift at all. Now, if I pulled him

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Speaker 1: with a slight Russian accent told him I had some

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Speaker 1: tapes you know, O naked Trump. So what are the

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Speaker 1: nature of the compromising compromising the complement of metal Trump

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Speaker 1: in in New York at some point after the twenty

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Speaker 1: thirteen Miss Universe. Yesag got compromising materials on tramp after

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Speaker 1: their short relations Okay, and what's the nature of the compromise. Well,

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Speaker 1: there were pictures of naked Trump, pigs, naked Tump, and

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Speaker 1: so Putin was made aware of the availability of the

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Speaker 1: compromising material Yes, of course, Buza shared those materials with

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Speaker 1: sub Sharking. Subsharct shares those materials with Putin. She's a

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Speaker 1: god daughter of Putting, and Puttin decided to press on Trump.

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Speaker 1: Um and uh, and the materials that you can provide

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Speaker 1: to the committee or to the FBI. Would they corroborate

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Speaker 1: this allegation? Sure? Of course. When they were in Ukraine,

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Speaker 1: we got their conversation by the phone where they're discussed

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Speaker 1: to those compromising materials. We are ready to provide it

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Speaker 1: to FBI. So you have recordings of both soa check

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Speaker 1: and bus where they're discussing the compromising material on mister Trump.

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Speaker 1: Absolutely absolutely neither the nature of the materials. Yeah, but

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Speaker 1: of course, uh, the naked Trump, the pictures the naked Trump.

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Speaker 1: Oh my gosh, did you send up Joan the Vladimir

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Speaker 1: But of course it's not a bit the picture the

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Speaker 1: naked Trump. Yeah. So you know what I think is

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Speaker 1: the weirdest part about that whole conversation, what that there

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Speaker 1: are pictures of naked Trump. What that that's weird because

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Speaker 1: everybody knows tutures that there are pictures of Yeah, just

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Speaker 1: like the hooker is urinating in this bed. Great, we're

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Speaker 1: the pictures that the hook is. They're taking a leak.

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Speaker 1: But I'm saying, in all series going number one in

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Speaker 1: the bed, number one, so weird. Oh my god, number two,

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Speaker 1: number one in the bed. Okay AnyWho. So the weird

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Speaker 1: part about it is he says, yeah, it's his god daughter.

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Speaker 1: And I'm thinking to myself, so your god daughter decides

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Speaker 1: to bring home pictures of a naked American president, Like,

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Speaker 1: that's what you're showing. I would never show my godfather that.

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Speaker 1: That's very weird. The whole part is not even talked about.

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Speaker 1: Uh you know what I'm saying. I haven't even thought

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Speaker 1: about it. I was too focused on the pictures. They're sweethet,

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Speaker 1: Well we got well in the bed and then and

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Speaker 1: then it's cop then and then what are they doing? Uh? Yeah,

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Speaker 1: the peeking in the bed? Do you say? And how

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Speaker 1: do you say? I think they you and naked in

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Speaker 1: the bed. They go number one, number one in the bed.

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Speaker 1: It's weird, man, No, Well, so what is this idiot

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Speaker 1: shift doing. Is he's he's colluding with Russians or he

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Speaker 1: thinks of Russians that are giving him dirt on Donald Trump.

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Speaker 1: I'm sure he immediately called the FBI. No, I'm sure

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Speaker 1: he immediately called the FBI. And then this guy's called pictures, Yeah,

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Speaker 1: exactly naked. I can't. I don't know why. I don't

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Speaker 1: know why, because he's such funny and he's really believing it.

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Speaker 1: That's he's like, okay, okay, yeah, he thinks, and then

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Speaker 1: he's out there talking, well, there might have been collusion

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Speaker 1: with Trump and the Russians. I'm like, hello, and you

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Speaker 1: can't make the story any better except that there really

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Speaker 1: was collusion with the Russians, bought and paid for Russian

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Speaker 1: lies leaked to the American p people visa V ranking

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Speaker 1: members in the intelligence community, and well, why to rig

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Speaker 1: the election and make people believe there's pictures of naked

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Speaker 1: thrumb and two hooks in the bed? They go, they

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Speaker 1: go to the bathroom in the bed inside the bed.

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Speaker 1: Uh what kind of bathroom? No? No, no, no, not

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Speaker 1: number two, not the bedroom. That the number one, the

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Speaker 1: good one. Anybody's supposed to say, that's a sick ging

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Speaker 1: you'd read this thascier and you just know they're full

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Speaker 1: of crap, and it's like, oh my gosh, it wasn't

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Speaker 1: number two. It was not it was they were urinating

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Speaker 1: in the bed. Meanwhile, Donald Trump well known for his

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Speaker 1: avoidance of you know, germs, although he shakes people's hands,

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Speaker 1: no problem at all. That's not what it was. But

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Speaker 1: he's not exactly. You know, you do get sick. I mean,

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Speaker 1: it is a well known fact that the way you

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Speaker 1: get sick, you shake somebody's hand. You're rub you know, boom,

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Speaker 1: you got what they had on their hands. And there

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Speaker 1: are people that don't clean themselves after they go to

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Speaker 1: the bathroom, which is horrible that all happens. Who's doing that? Listen,

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Speaker 1: I've had experiences. I've been, you know, at a urinal

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Speaker 1: and somebody said almost it kind of I'm like, not now,

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Speaker 1: I can't shake your hand right now. Oh. I swear

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Speaker 1: to god, Oh will you think I'm making that up?

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Speaker 1: I swear you're giving us urinal stories at three afternoon, Wow,

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Speaker 1: people trying to eat their lunches. And I shared this

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Speaker 1: story after Eric Trump, you know, had this incident, and

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Speaker 1: it's horrible what they did to him. And spitting his face.

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Speaker 1: By the way, that is an assault legally speak that

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Speaker 1: is legally in assault. Lock him up, Lock them up. Um,

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Speaker 1: And I told you what happened to me when I

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Speaker 1: was at that restaurant with boorts, and I didn't mention

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Speaker 1: I'm being gracious, I didn't mention the restaurant to nice well,

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Speaker 1: and I could have filed charges and I ended up

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Speaker 1: not doing it. I mean, they basically said they tainted

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Speaker 1: my food with bodily fluids or bodily how do you

421
00:27:05,920 --> 00:27:12,640
Speaker 1: say it, um stuff stuff? Yeah, very medical term, very

422
00:27:12,720 --> 00:27:16,680
Speaker 1: medical term. And then they say, oh no, no, tells

423
00:27:16,720 --> 00:27:18,320
Speaker 1: them belie. No, I didn't really do it. I just

424
00:27:18,480 --> 00:27:20,240
Speaker 1: printed it that I did it. I just posted it

425
00:27:20,320 --> 00:27:24,000
Speaker 1: online that I did it, and everyone, how many people

426
00:27:24,040 --> 00:27:27,160
Speaker 1: ask me, why do you go to the same five restaurants?

427
00:27:27,640 --> 00:27:30,200
Speaker 1: There you go, there's the answer, because I trust them.

428
00:27:31,600 --> 00:27:33,760
Speaker 1: I don't need to go to new places ever. Again.

429
00:27:34,480 --> 00:27:36,760
Speaker 1: I think I think I've had my fill of it

430
00:27:37,560 --> 00:27:42,119
Speaker 1: after that. Um. Anyway, so you have h I'm not

431
00:27:42,160 --> 00:27:44,400
Speaker 1: even gonna have time to get this. They have radical

432
00:27:44,720 --> 00:27:50,120
Speaker 1: conspirat the biggest conspiracy theorist in the country, Roswell, Rachel

433
00:27:50,880 --> 00:27:56,520
Speaker 1: Maddow she is one of the hosts last night. Let

434
00:27:56,680 --> 00:27:59,439
Speaker 1: let me give you a few little well, well, let

435
00:27:59,480 --> 00:28:02,800
Speaker 1: me just play you first. She announces that she describes

436
00:28:02,840 --> 00:28:06,399
Speaker 1: herself as left of MAO, just a little taste of

437
00:28:06,520 --> 00:28:09,800
Speaker 1: who she is waiting. We're about to find out if

438
00:28:09,840 --> 00:28:12,200
Speaker 1: the new president of our country is going to do

439
00:28:12,359 --> 00:28:15,359
Speaker 1: what Russia wants once he's commander in chief of the

440
00:28:15,440 --> 00:28:18,119
Speaker 1: US military. We haven't ever had to reckon with the

441
00:28:18,160 --> 00:28:21,359
Speaker 1: possibility that somebody has ascended to the presidency of the

442
00:28:21,480 --> 00:28:26,080
Speaker 1: United States to serve the interests of another country rather

443
00:28:26,160 --> 00:28:30,240
Speaker 1: than our own. What's the corrective to that? How do

444
00:28:30,320 --> 00:28:36,000
Speaker 1: you remedy that these are no longer hypothetical questions? This

445
00:28:36,240 --> 00:28:39,200
Speaker 1: is where we are. He received the Order of Friendship

446
00:28:39,200 --> 00:28:42,160
Speaker 1: from Vladimir Putin, personally the highest civilian award that Russia

447
00:28:42,200 --> 00:28:46,480
Speaker 1: gives to non Russian citizens. Somehow, Rex Tolersen ended up

448
00:28:46,520 --> 00:28:49,440
Speaker 1: as US Secretary of State under Donald Trump, who he'd

449
00:28:49,600 --> 00:28:53,840
Speaker 1: never met. China and Russia can do this today now

450
00:28:54,000 --> 00:28:56,920
Speaker 1: whenever they want to. In other words, we're relying on

451
00:28:57,000 --> 00:29:01,040
Speaker 1: their good graces that they're not. And it is like

452
00:29:01,440 --> 00:29:04,280
Speaker 1: negative fifty degrees in the Dakotas right now, What would

453
00:29:04,280 --> 00:29:08,560
Speaker 1: happen if Russia killed the power in Fargo today. All right,

454
00:29:08,560 --> 00:29:11,360
Speaker 1: Then the one I wanted to play, where she describes

455
00:29:11,400 --> 00:29:16,240
Speaker 1: herself as left of MAO play the having been involved

456
00:29:16,280 --> 00:29:18,560
Speaker 1: in a lot of different liberal groups over time, as

457
00:29:18,640 --> 00:29:21,640
Speaker 1: somebody who's left directly to the left of mau. Then

458
00:29:21,760 --> 00:29:27,000
Speaker 1: she says that the inauguration speech of Trump, you know,

459
00:29:28,640 --> 00:29:34,080
Speaker 1: dark America First. Like Hitler's supporters, listen to this, this

460
00:29:34,360 --> 00:29:38,160
Speaker 1: was a workmanlike speech. He it was short, and he

461
00:29:38,240 --> 00:29:41,240
Speaker 1: went through it quickly, and it was it was militant,

462
00:29:41,280 --> 00:29:45,160
Speaker 1: and it was dark. The crime, the gangs, the drugs,

463
00:29:45,560 --> 00:29:50,680
Speaker 1: this American carnage, disrepair, DKA. You can't imagine the outgoing

464
00:29:50,760 --> 00:29:54,680
Speaker 1: president giving a speech like that, this president also repeating,

465
00:29:54,720 --> 00:29:59,680
Speaker 1: the new president also repeating that our guiding principle will

466
00:29:59,680 --> 00:30:02,800
Speaker 1: be a America First, America First. We know how he

467
00:30:02,840 --> 00:30:05,080
Speaker 1: has used that as a campaign slogan that does also

468
00:30:05,200 --> 00:30:08,800
Speaker 1: have very dark echoes in American history. It was an

469
00:30:08,800 --> 00:30:12,160
Speaker 1: America First committee that formed in this country. Hundreds of

470
00:30:12,240 --> 00:30:14,400
Speaker 1: thousands of people in this country, some of the richest

471
00:30:14,440 --> 00:30:17,240
Speaker 1: businessmen in the country, many of them are anti Semitic.

472
00:30:17,840 --> 00:30:20,479
Speaker 1: Part of why they weren't alarmed by Hitler's rise in Germany.

473
00:30:20,520 --> 00:30:24,040
Speaker 1: The America First Committee is something that means a specific

474
00:30:24,120 --> 00:30:26,800
Speaker 1: thing in this country. To repurpose it now not that

475
00:30:26,960 --> 00:30:30,719
Speaker 1: far down the historical path. It's hard. It's hard to hear,

476
00:30:31,360 --> 00:30:33,520
Speaker 1: you know, And it goes on. Trump is a gateway

477
00:30:33,680 --> 00:30:37,560
Speaker 1: drug to David Duke KKK. Trump wants to kill the press.

478
00:30:37,640 --> 00:30:40,480
Speaker 1: Play that one. Trump wants to kill the press. I

479
00:30:40,520 --> 00:30:42,840
Speaker 1: think that's a good intention. I think it's a dangerous

480
00:30:42,920 --> 00:30:45,160
Speaker 1: time for the First Amendment and for the free press

481
00:30:45,200 --> 00:30:47,320
Speaker 1: in this country. And at the same time, we're oddly

482
00:30:47,400 --> 00:30:51,040
Speaker 1: influential with the guy who wants to kill us. Venezuelans

483
00:30:51,040 --> 00:30:56,200
Speaker 1: are rioting over donations to the Drump campaign. No, Flynn

484
00:30:56,320 --> 00:31:02,640
Speaker 1: is the biggest scandal in presidential history. No, um, you know,

485
00:31:02,720 --> 00:31:04,880
Speaker 1: I mean, it just goes on and on. He compared

486
00:31:04,920 --> 00:31:10,600
Speaker 1: that she compares the Trump kids to Uday and Kuse. Yeah,

487
00:31:10,640 --> 00:31:16,960
Speaker 1: the children of Let's see. Um, yeah, that's right. So

488
00:31:17,160 --> 00:31:20,800
Speaker 1: donal Hussey I do it thinking and they won't say

489
00:31:20,840 --> 00:31:23,960
Speaker 1: in public. But she just said, you know what a

490
00:31:24,080 --> 00:31:26,680
Speaker 1: lot of us see and know to be true. And

491
00:31:27,400 --> 00:31:28,920
Speaker 1: you guys just got her and she was just she

492
00:31:29,000 --> 00:31:32,040
Speaker 1: just said the truth. They're not objective peace. They're not

493
00:31:32,200 --> 00:31:35,520
Speaker 1: an objective source of information. They are a highly biased

494
00:31:35,600 --> 00:31:40,280
Speaker 1: political machine UM that is bent on never letting somebody

495
00:31:40,360 --> 00:31:43,760
Speaker 1: like Donald Trump come to power again. Tiny Twiny is

496
00:31:43,840 --> 00:31:47,000
Speaker 1: certainly on top of the now. My old organization, the

497
00:31:47,760 --> 00:31:49,960
Speaker 1: top of Mind. They've been working on it since twenty

498
00:31:50,040 --> 00:32:01,040
Speaker 1: sixteen to make sure there be different knowledge. Companies are

499
00:32:01,120 --> 00:32:03,840
Speaker 1: censoring conservatives and they're going to do this right up

500
00:32:03,840 --> 00:32:06,120
Speaker 1: to the twenty twenty election. Well, they're doing it to

501
00:32:06,200 --> 00:32:08,640
Speaker 1: me on Twitter. I mean what they did to me

502
00:32:08,760 --> 00:32:11,920
Speaker 1: on Twitter is incredible. H You know, I have, you know,

503
00:32:12,040 --> 00:32:14,520
Speaker 1: millions and millions of followers, but I will tell you

504
00:32:14,600 --> 00:32:17,120
Speaker 1: they make it very hard for people to join me

505
00:32:17,360 --> 00:32:20,240
Speaker 1: on Twitter, and they make it very much harder for

506
00:32:20,360 --> 00:32:24,080
Speaker 1: me to get out the message. They make it. It's incredible. Yeah,

507
00:32:24,080 --> 00:32:25,640
Speaker 1: And what are you going to do about it? What

508
00:32:25,720 --> 00:32:28,560
Speaker 1: do you mean? These have an enormous amount of power

509
00:32:28,560 --> 00:32:31,200
Speaker 1: if they could even stop the president of the free

510
00:32:31,280 --> 00:32:33,760
Speaker 1: world in terms of getting this message out, What am

511
00:32:33,800 --> 00:32:37,640
Speaker 1: I going to do about it? These people are all Democrats.

512
00:32:38,120 --> 00:32:42,240
Speaker 1: It's totally biased toward Democrats. If I announced tomorrow that

513
00:32:42,280 --> 00:32:45,000
Speaker 1: I'm going to become a nice liberal Democrat, I would

514
00:32:45,040 --> 00:32:48,120
Speaker 1: pick up five times, we're followed. I was picking up

515
00:32:48,600 --> 00:32:52,240
Speaker 1: one hundred thousand followers every few days, and all of

516
00:32:52,320 --> 00:32:54,920
Speaker 1: a sudden, and I'm much hotter now than I was

517
00:32:55,040 --> 00:32:57,240
Speaker 1: a number of months ago. Okay, a number of months ago.

518
00:32:57,280 --> 00:33:00,360
Speaker 1: Then all of a sudden it's stopped. Well, somebody said,

519
00:33:00,400 --> 00:33:02,440
Speaker 1: they don't want, which what happened in twenty sixteen to

520
00:33:02,480 --> 00:33:04,760
Speaker 1: happen in twenty twenty. They don't want it to happen again, right,

521
00:33:04,880 --> 00:33:07,160
Speaker 1: Is that what you're trying to Let me tell you,

522
00:33:07,360 --> 00:33:09,880
Speaker 1: they're trying to rig the election. That's why we should

523
00:33:09,880 --> 00:33:12,440
Speaker 1: be looking at, not that the witch hunt, the phony

524
00:33:12,520 --> 00:33:16,280
Speaker 1: witch hunt, which has proven zero uh you know, I

525
00:33:16,360 --> 00:33:19,440
Speaker 1: mean not even a phone call. This is the greatest

526
00:33:19,520 --> 00:33:23,600
Speaker 1: political disgrace in the history, is what technology companies are doing.

527
00:33:23,680 --> 00:33:26,200
Speaker 1: What they did you is that legal? Are they breaking

528
00:33:26,240 --> 00:33:29,120
Speaker 1: the lawest presidents? Well, I don't know whether, but I

529
00:33:29,240 --> 00:33:32,480
Speaker 1: tell you what, they should be sued because what's happening

530
00:33:32,800 --> 00:33:35,160
Speaker 1: with the bias, And now you see it with that

531
00:33:35,280 --> 00:33:38,640
Speaker 1: executive yesterday from Google. The hatred for the Republicans, not

532
00:33:38,800 --> 00:33:43,600
Speaker 1: even like gee, let's let's lean democrat. The hatred and actually,

533
00:33:43,720 --> 00:33:46,000
Speaker 1: you know I heard that all during my election. It's

534
00:33:46,040 --> 00:33:49,280
Speaker 1: hard that I won. They were they were swamping us

535
00:33:49,320 --> 00:33:52,280
Speaker 1: with negative stuff, all right. That was the President weighing

536
00:33:52,320 --> 00:33:55,840
Speaker 1: in on social media and all the varying controversies now

537
00:33:55,920 --> 00:33:58,160
Speaker 1: that have come up, including the latest one on Twitter

538
00:33:58,720 --> 00:34:03,160
Speaker 1: Project Veritas. By the way, the President tweeting talking about

539
00:34:03,480 --> 00:34:05,800
Speaker 1: the tape that we played for you and we talked

540
00:34:05,800 --> 00:34:10,080
Speaker 1: about the other day. Remember in that particular tape, we

541
00:34:10,480 --> 00:34:14,600
Speaker 1: had Google executives on tape, you know, and then an

542
00:34:14,680 --> 00:34:18,560
Speaker 1: insider talking to Project Veritas, you know that they're they're

543
00:34:18,719 --> 00:34:21,960
Speaker 1: bent on not letting somebody like Donald Trump ever come

544
00:34:22,000 --> 00:34:24,840
Speaker 1: to power again, or for Donald Trump to win in

545
00:34:24,920 --> 00:34:30,880
Speaker 1: twenty twenty, I mean, and the Google head of Responsible

546
00:34:31,000 --> 00:34:35,200
Speaker 1: Innovation saying Elizabeth Warren is misguided on breaking up Google,

547
00:34:35,920 --> 00:34:39,880
Speaker 1: and Google exec says, well, don't break us up because

548
00:34:39,920 --> 00:34:44,080
Speaker 1: smaller companies don't have the resources to prevent the next

549
00:34:44,160 --> 00:34:49,840
Speaker 1: Trump situation. Really, insider says that Prague University and others

550
00:34:50,320 --> 00:34:53,719
Speaker 1: their content is suppressed. That's what the President was also

551
00:34:53,800 --> 00:34:58,640
Speaker 1: saying about Twitter as well. Leaked documents highlight a machine

552
00:34:59,080 --> 00:35:03,200
Speaker 1: learning fair How does a machine learn fairness? Basically, how

553
00:35:03,239 --> 00:35:07,799
Speaker 1: do they have a politically correct worldview? You look at

554
00:35:07,840 --> 00:35:11,840
Speaker 1: Project Veritas and their video and James O'Keefe he uses

555
00:35:11,960 --> 00:35:16,320
Speaker 1: Google and he looks emails Hillary Clinton and emails Donald

556
00:35:16,360 --> 00:35:19,239
Speaker 1: Trump and hmmm, well it doesn't come up the way

557
00:35:19,280 --> 00:35:22,399
Speaker 1: it normally would. In other words, Hillary's email scandal. Why

558
00:35:22,600 --> 00:35:26,440
Speaker 1: is that anyway? Documents appear to show editorial policies that

559
00:35:27,239 --> 00:35:32,720
Speaker 1: determine how Google is publishing their news. Project Veritas's CEO

560
00:35:32,840 --> 00:35:35,040
Speaker 1: and founder, James O'Keefe is with us. Could be the

561
00:35:35,080 --> 00:35:38,680
Speaker 1: biggest video that they've outlined yet, and yet he's having

562
00:35:38,760 --> 00:35:42,800
Speaker 1: trouble getting his message out because places like YouTube. But

563
00:35:42,840 --> 00:35:45,640
Speaker 1: I understand I taking your video down? What's there? What

564
00:35:45,800 --> 00:35:49,080
Speaker 1: is their argument for taking your video down? Sean? Thanks

565
00:35:49,120 --> 00:35:51,920
Speaker 1: for having me on and this is definitely the biggest

566
00:35:51,920 --> 00:35:54,520
Speaker 1: story we ever broke. And that's saying something because you

567
00:35:54,560 --> 00:35:56,239
Speaker 1: and I have known each other for ten years, all

568
00:35:56,360 --> 00:36:00,640
Speaker 1: going back to the acorn story, but this is truly extraordinary.

569
00:36:00,719 --> 00:36:05,360
Speaker 1: YouTube banned our pinterest investigation. Twitter suspended Veritas for that story,

570
00:36:05,760 --> 00:36:10,880
Speaker 1: banned Projecguritas. YouTube removed this Google investigation, and now Sean Vino,

571
00:36:11,160 --> 00:36:14,960
Speaker 1: which is a competitor to Google, has removed our entire account.

572
00:36:15,160 --> 00:36:17,719
Speaker 1: What is the reason you say. The reason they tell

573
00:36:17,840 --> 00:36:20,440
Speaker 1: us is there's a privacy violation. We don't understand what

574
00:36:20,520 --> 00:36:24,520
Speaker 1: they mean by that. We're reporting newsworthy information. That's what

575
00:36:24,680 --> 00:36:28,160
Speaker 1: journalists do. The real reasons, Well, do they keep up content,

576
00:36:28,320 --> 00:36:31,840
Speaker 1: say from other news sources? No, because other people have

577
00:36:31,960 --> 00:36:34,080
Speaker 1: reported the same thing. Will reporting these are done? No? No.

578
00:36:34,320 --> 00:36:37,840
Speaker 1: What I'm saying is, are you being singled out versus

579
00:36:37,920 --> 00:36:41,560
Speaker 1: other people that post things that are news related? Yes,

580
00:36:41,680 --> 00:36:45,440
Speaker 1: and I tweeted that at YouTube CEO. Now YouTube has responded,

581
00:36:45,520 --> 00:36:50,279
Speaker 1: they issued this ridiculous response that has been They're being

582
00:36:50,400 --> 00:36:55,000
Speaker 1: inundated on Twitter with angry patriotic people upset with their

583
00:36:55,040 --> 00:36:58,640
Speaker 1: absurd response. But Sean, this is truly an extraordinary series

584
00:36:58,640 --> 00:37:01,439
Speaker 1: of events. These stories have not been taken down because

585
00:37:01,480 --> 00:37:04,239
Speaker 1: they're false, because they're true. And we're hitting close to

586
00:37:04,400 --> 00:37:08,440
Speaker 1: home with this machine learning fairness. And you heard Trump,

587
00:37:08,520 --> 00:37:12,520
Speaker 1: the President a moment ago, talk about the comments made

588
00:37:12,560 --> 00:37:15,480
Speaker 1: by Jing and I. Trump was talking about the quote

589
00:37:15,520 --> 00:37:18,520
Speaker 1: from Jing and I which stated they're trying to prevent

590
00:37:18,600 --> 00:37:22,200
Speaker 1: the next Trump situation, which stated their definition of fairness

591
00:37:22,400 --> 00:37:26,640
Speaker 1: is different than what Trump supporters think is fair. Her words. So, Sean,

592
00:37:26,719 --> 00:37:29,359
Speaker 1: they're taking all of our videos off the internet. They're

593
00:37:29,400 --> 00:37:31,440
Speaker 1: trying to scrub this from history, but I don't think

594
00:37:31,480 --> 00:37:35,040
Speaker 1: they'll be successful because there's been an online uprising over

595
00:37:35,080 --> 00:37:37,280
Speaker 1: the last couple of days and this is all happening

596
00:37:37,360 --> 00:37:39,400
Speaker 1: in the public view. All right, let's go back to

597
00:37:39,480 --> 00:37:43,160
Speaker 1: the very beginning. You get this woman, by the way,

598
00:37:43,200 --> 00:37:48,680
Speaker 1: what is this department that she runs and works out at? Here?

599
00:37:48,760 --> 00:37:51,680
Speaker 1: This miss j and I I'm having a hard time

600
00:37:51,760 --> 00:37:58,040
Speaker 1: understanding what it actually means there because it it doesn't

601
00:37:58,080 --> 00:38:02,200
Speaker 1: make sense to me. And how are they teaching artificial intelligence?

602
00:38:02,200 --> 00:38:06,239
Speaker 1: And what are these algorithms they're creating that literally represses

603
00:38:06,280 --> 00:38:10,880
Speaker 1: conservative content? So this is again you're referring to Gingini,

604
00:38:11,040 --> 00:38:15,080
Speaker 1: the executive of Google, who runs something called the Innovation department.

605
00:38:15,160 --> 00:38:18,680
Speaker 1: She has up Google's innovation efforts. And I think the

606
00:38:18,840 --> 00:38:23,120
Speaker 1: best way to characterize what they do is this is

607
00:38:23,160 --> 00:38:25,680
Speaker 1: a document from within Google that we've obtained, And this

608
00:38:25,880 --> 00:38:29,680
Speaker 1: is a If I had quoted this document, Sean, without

609
00:38:29,760 --> 00:38:32,320
Speaker 1: having the document, you'd think I was a conspiracy theorist.

610
00:38:32,360 --> 00:38:34,239
Speaker 1: But I'm going to read it to you because this

611
00:38:34,320 --> 00:38:37,960
Speaker 1: will help you understand what this individual does. It says

612
00:38:38,719 --> 00:38:41,040
Speaker 1: in some cases and may be desirable to consider how

613
00:38:41,080 --> 00:38:43,200
Speaker 1: he might help society you reach a more fair and

614
00:38:43,320 --> 00:38:49,759
Speaker 1: equitable state via product intervention or algorithmic fairness. So what

615
00:38:49,920 --> 00:38:53,040
Speaker 1: they do is they have human beings go in there,

616
00:38:53,520 --> 00:38:57,560
Speaker 1: modify the computer code, modify the artificial intelligence and the

617
00:38:57,640 --> 00:39:01,880
Speaker 1: algorithms they implement this fairness. And I'm putting fairness in

618
00:39:02,000 --> 00:39:05,880
Speaker 1: quotes because it's their word in their artificial intelligence in

619
00:39:05,960 --> 00:39:11,320
Speaker 1: the computers. And this executive is confessing this to in

620
00:39:11,400 --> 00:39:14,719
Speaker 1: this recording. So what they're doing at Google is they're

621
00:39:15,160 --> 00:39:20,319
Speaker 1: trying to change the outcome of elections through artificial intelligence algorithms,

622
00:39:20,360 --> 00:39:24,000
Speaker 1: and they've denied it publicly. That's why this story is

623
00:39:24,080 --> 00:39:26,520
Speaker 1: so big. We got them, and that's what Jing and

624
00:39:26,600 --> 00:39:30,120
Speaker 1: I said. She issued this long, rambling response saying Project

625
00:39:30,200 --> 00:39:33,000
Speaker 1: Veritas got me. I shouldn't have said what I said.

626
00:39:33,280 --> 00:39:35,600
Speaker 1: Oh they got me, but I shouldn't. And she's not

627
00:39:35,719 --> 00:39:38,680
Speaker 1: getting fired. But the reality is, this is what they're doing. Now.

628
00:39:39,080 --> 00:39:41,360
Speaker 1: You know, we have to look at the magnitude. Linda

629
00:39:41,360 --> 00:39:44,120
Speaker 1: did a great job last the other day, two days

630
00:39:44,160 --> 00:39:46,520
Speaker 1: ago looking up all the numbers. I mean, you're talking

631
00:39:46,600 --> 00:39:51,080
Speaker 1: about billions of people every year using Google to search

632
00:39:51,160 --> 00:39:55,239
Speaker 1: for news and information in an election years if they're

633
00:39:55,280 --> 00:39:59,560
Speaker 1: suppressing information that would for the purposes of endorsing in

634
00:39:59,680 --> 00:40:02,640
Speaker 1: favor bring a candidate. Isn't that an in kind donation?

635
00:40:02,960 --> 00:40:05,920
Speaker 1: And isn't it one that really is incalculable? Well, that's

636
00:40:06,000 --> 00:40:10,799
Speaker 1: exactly what people are saying. Attorneys are saying. This might

637
00:40:10,840 --> 00:40:14,680
Speaker 1: be an FBC issue. I think, Sean the biggest issue

638
00:40:14,800 --> 00:40:16,680
Speaker 1: right now that I can see. And there's been some

639
00:40:16,800 --> 00:40:19,640
Speaker 1: congressional hearing since I last talked to you. Ted Cruz.

640
00:40:20,160 --> 00:40:24,680
Speaker 1: Dan Crenshaw, congressman from Arizona, was grilling these executives about

641
00:40:24,760 --> 00:40:27,880
Speaker 1: machine learning fairness. There's been another document come out. Well,

642
00:40:27,920 --> 00:40:29,360
Speaker 1: by the way, let me let me go to Crenshaw

643
00:40:29,400 --> 00:40:31,839
Speaker 1: for just a second here, Um, who's a good guy.

644
00:40:32,680 --> 00:40:36,480
Speaker 1: But anyway, he a congressman from Texas, and he was

645
00:40:36,600 --> 00:40:42,600
Speaker 1: questioning Derek Slater Global Google Global director of Information Policy.

646
00:40:43,320 --> 00:40:46,279
Speaker 1: And you know, according to these emails, the emails say,

647
00:40:46,400 --> 00:40:51,399
Speaker 1: given that you know different people like Dennis Prager or Nazis, etc.

648
00:40:52,719 --> 00:40:55,640
Speaker 1: That's a premise. What are you going to do about that?

649
00:40:56,440 --> 00:41:00,920
Speaker 1: And you know, Kenshaw then from Texas audiences, thank you

650
00:41:01,080 --> 00:41:04,319
Speaker 1: for some of the thoughtful discussion, etcetera, etcetera. But there

651
00:41:04,360 --> 00:41:07,440
Speaker 1: are good questions on whether some of these the content

652
00:41:07,560 --> 00:41:11,000
Speaker 1: provides education so that we know the bad things out there,

653
00:41:11,160 --> 00:41:15,320
Speaker 1: whether it's radicalizing people. Those are hard. But Crenshaw also

654
00:41:15,400 --> 00:41:18,080
Speaker 1: goes on to say that you know and talks about

655
00:41:18,120 --> 00:41:20,680
Speaker 1: you at different points and goes on to say that

656
00:41:21,239 --> 00:41:24,160
Speaker 1: if you if you're going to be the make the

657
00:41:24,280 --> 00:41:27,800
Speaker 1: determination of what is good and good content content or

658
00:41:27,920 --> 00:41:30,919
Speaker 1: news or not news, and you have a bias, well,

659
00:41:30,960 --> 00:41:34,800
Speaker 1: I mean you're rendering you're picking sides here, and with

660
00:41:34,920 --> 00:41:37,520
Speaker 1: the amount of power of somebody like Google has, that

661
00:41:37,840 --> 00:41:42,320
Speaker 1: could be extraordinarily influential, couldn't it. Well yes, And I

662
00:41:42,440 --> 00:41:44,400
Speaker 1: was going to say, Sean, it comes down to Google

663
00:41:44,440 --> 00:41:49,040
Speaker 1: has been granted a special immunity from Congress section two

664
00:41:49,200 --> 00:41:53,120
Speaker 1: thirty of the Communications Decency Act, and the issue before

665
00:41:53,200 --> 00:41:56,399
Speaker 1: Congress right now is that they want to continue giving

666
00:41:56,480 --> 00:41:59,560
Speaker 1: Google that exemption. Now, why this expose is so big,

667
00:41:59,640 --> 00:42:02,680
Speaker 1: it's the biggest thing certainly I've ever reported, is that

668
00:42:02,800 --> 00:42:06,120
Speaker 1: it implies that Google should not be given this protection

669
00:42:06,600 --> 00:42:10,719
Speaker 1: because Google is no longer merely a platform. Now they're

670
00:42:10,760 --> 00:42:14,160
Speaker 1: a publisher with an agenda. So previously they have been

671
00:42:14,239 --> 00:42:19,280
Speaker 1: exempt from liability. And now these revelations which talk about

672
00:42:19,400 --> 00:42:23,360
Speaker 1: a certain viewpoint, and they want to change outcome of elections.

673
00:42:24,040 --> 00:42:27,680
Speaker 1: All of these words are theirs, not mine. Congress probably

674
00:42:27,760 --> 00:42:29,360
Speaker 1: has to do something about it. They have to do

675
00:42:29,440 --> 00:42:32,440
Speaker 1: their job. The President says that the Google should be sued.

676
00:42:32,880 --> 00:42:35,879
Speaker 1: I've told you before, Sean, this is a watershed moment

677
00:42:35,960 --> 00:42:39,800
Speaker 1: in this country. The floodgates are opening. Veritas. Project Veritas

678
00:42:40,000 --> 00:42:44,160
Speaker 1: has been inundated with insiders, sources on the inside reaching

679
00:42:44,200 --> 00:42:46,440
Speaker 1: out to me this week. I mean, we're talking dozens

680
00:42:46,520 --> 00:42:51,120
Speaker 1: of these people who wants to explode the whistle for

681
00:42:51,239 --> 00:42:53,960
Speaker 1: their country, to report what's going on. Because if you think,

682
00:42:54,200 --> 00:42:57,000
Speaker 1: if you're worried about the impact on an election, Google

683
00:42:57,200 --> 00:43:02,040
Speaker 1: can change that, an influence that in ways you can't imagine.

684
00:43:02,200 --> 00:43:04,480
Speaker 1: And that's what this expose is about. All right, quick

685
00:43:04,560 --> 00:43:08,960
Speaker 1: break more with James O'Keefe, founder CEO of Project Veritas,

686
00:43:09,120 --> 00:43:11,799
Speaker 1: and much more as we continue Busy Hannity tonight, don't

687
00:43:11,800 --> 00:43:16,680
Speaker 1: miss it, nine Eastern right, as we continue, James O'Keefe,

688
00:43:16,920 --> 00:43:21,080
Speaker 1: he is the founder CEO of Project Veritas, And I

689
00:43:21,120 --> 00:43:24,040
Speaker 1: don't know, I think this is probably there's gonna be

690
00:43:24,080 --> 00:43:26,919
Speaker 1: a lot of fallout for this, you know, sixty three

691
00:43:28,200 --> 00:43:32,560
Speaker 1: thousand searches on Google per second. I mean that is insane.

692
00:43:33,239 --> 00:43:36,080
Speaker 1: You know Google's ad revenue amount, it's almost ninety five

693
00:43:36,200 --> 00:43:41,640
Speaker 1: point four billion dollars in what just the year twenty

694
00:43:41,719 --> 00:43:46,040
Speaker 1: seventeen alone. You know, Google loans two hundred other companies.

695
00:43:46,640 --> 00:43:48,640
Speaker 1: You know, they have twenty seven percent of the share

696
00:43:48,640 --> 00:43:52,120
Speaker 1: of the global email client market. I mean, it's a

697
00:43:52,239 --> 00:43:55,239
Speaker 1: massive company. And you know, you look at that and

698
00:43:55,320 --> 00:43:57,480
Speaker 1: then you say, well, okay, well now they're gonna censor

699
00:43:57,560 --> 00:44:01,160
Speaker 1: content of conservatives and they're going to decide not to

700
00:44:02,080 --> 00:44:05,879
Speaker 1: run things politically they disagree with. That's a problem. Yes,

701
00:44:06,000 --> 00:44:08,759
Speaker 1: I mean Sean, I mean Jeni says she reinforced several

702
00:44:08,800 --> 00:44:12,600
Speaker 1: times Google's imperative to quote prevent the next Trump situation

703
00:44:12,800 --> 00:44:15,840
Speaker 1: quote prevented from happening again quote being ready for twenty

704
00:44:15,920 --> 00:44:20,200
Speaker 1: twenty by training algorithms for a different outcome using machine

705
00:44:20,280 --> 00:44:23,400
Speaker 1: learning fairness. I mean, it sounds like something from nineteen

706
00:44:23,440 --> 00:44:25,200
Speaker 1: eighty four. Nineteen eighty four. It wasn't just the year

707
00:44:25,239 --> 00:44:28,440
Speaker 1: I was born, this great book by George Orwell. I mean,

708
00:44:28,560 --> 00:44:31,800
Speaker 1: it's just it's it shocks the conscience. And when we

709
00:44:31,960 --> 00:44:34,120
Speaker 1: got them, we got them to confess what they're doing.

710
00:44:34,160 --> 00:44:37,680
Speaker 1: I think the question is Project Veritas, you know, really

711
00:44:37,719 --> 00:44:41,040
Speaker 1: gives ammunition to the people. I don't know what Congress

712
00:44:41,160 --> 00:44:42,959
Speaker 1: is going to do. Trump says he's going to sue people.

713
00:44:43,000 --> 00:44:45,040
Speaker 1: I think that the next thing that needs to happen

714
00:44:45,160 --> 00:44:48,400
Speaker 1: is more people needs to come forward Project Veritas dot com,

715
00:44:48,560 --> 00:44:54,040
Speaker 1: slash Brave and Veritas tips at ProtonMail dot com. If

716
00:44:54,120 --> 00:44:56,360
Speaker 1: you're on the inside, if you want to be a patriot,

717
00:44:56,719 --> 00:44:59,200
Speaker 1: if you want to tell stories. I mean, these people

718
00:44:59,200 --> 00:45:00,520
Speaker 1: are not going to the New yor Times with the

719
00:45:00,600 --> 00:45:03,960
Speaker 1: Washington Posts, Sean, They're they're coming to Project Veritas now.

720
00:45:04,080 --> 00:45:07,000
Speaker 1: So we have a responsibility to keep informing people about

721
00:45:07,040 --> 00:45:09,280
Speaker 1: what their intentions are as it relates to twenty twenty.

722
00:45:09,520 --> 00:45:12,880
Speaker 1: All Right, these videos we have posted exclusively. Apparently they

723
00:45:12,920 --> 00:45:16,560
Speaker 1: can't take them off Hannity dot com or Project Veritas's website,

724
00:45:17,360 --> 00:45:21,520
Speaker 1: but apparently it's off of YouTube and other places as well.

725
00:45:21,680 --> 00:45:24,120
Speaker 1: But you've got to watch them for yourself. And you're

726
00:45:24,160 --> 00:45:26,280
Speaker 1: saying that now, you have a lot of other insiders

727
00:45:26,320 --> 00:45:28,359
Speaker 1: at Google reaching out to you. So I would expect

728
00:45:28,400 --> 00:45:30,000
Speaker 1: there's going to be more follow up in the days

729
00:45:30,040 --> 00:45:33,640
Speaker 1: and weeks ahead. Yeah, we're releasing some more documents here

730
00:45:33,800 --> 00:45:38,239
Speaker 1: imminently today about some censorship, and there are some people

731
00:45:38,280 --> 00:45:40,200
Speaker 1: that have reached out to us. I'm looking at some

732
00:45:40,320 --> 00:45:42,920
Speaker 1: of the messages right now, Sean, but they've again, I

733
00:45:42,960 --> 00:45:45,240
Speaker 1: just want to remind your audience. They've taken us off YouTube,

734
00:45:45,560 --> 00:45:49,360
Speaker 1: they've taken off video. Reddit has banned us. This is

735
00:45:49,400 --> 00:45:51,920
Speaker 1: the moment. It's all happening. I don't think they'll be

736
00:45:51,960 --> 00:45:54,560
Speaker 1: able to silence us. I think that the fight has

737
00:45:54,600 --> 00:45:57,640
Speaker 1: gone too public to hide, and it's all happening now.

738
00:45:57,840 --> 00:46:00,399
Speaker 1: Nothing's going to stop. We're going to keep exposing the truth.

739
00:46:00,719 --> 00:46:03,000
Speaker 1: And I thank you Sean for being one of the

740
00:46:03,040 --> 00:46:06,520
Speaker 1: first people out there to push the story, and thank

741
00:46:06,560 --> 00:46:10,480
Speaker 1: you for your for helping us expose this truth. All right,

742
00:46:10,560 --> 00:46:15,160
Speaker 1: Project Veritas, the CEO and founder, James O'Keefe, thanks for

743
00:46:15,320 --> 00:46:18,680
Speaker 1: putting your neck out there as usual. When we come back,

744
00:46:19,200 --> 00:46:23,760
Speaker 1: Jonathan and Danielle, they'll weigh in on this crazy lunatic debate.

745
00:46:23,840 --> 00:46:26,759
Speaker 1: Last night, Don Junior weighs in on that end. His

746
00:46:26,920 --> 00:46:30,280
Speaker 1: brother Eric literally spit in the face in a restaurant

747
00:46:30,320 --> 00:46:32,799
Speaker 1: in Chicago. We'll get to that and how the rest

748
00:46:32,880 --> 00:46:35,879
Speaker 1: of the family has been treated ever since their father

749
00:46:36,080 --> 00:46:39,799
Speaker 1: decided to run for president. As we continue, Center Warren,

750
00:46:39,960 --> 00:46:42,960
Speaker 1: I want to continue on the Mitch McConnell thing because

751
00:46:43,000 --> 00:46:44,920
Speaker 1: you have a lot of ambitious plans. You have a

752
00:46:45,000 --> 00:46:47,839
Speaker 1: plan for that, Okay, we talked about the Supreme Court.

753
00:46:48,080 --> 00:46:51,320
Speaker 1: Do you have a plan to deal with Mitch McConnell

754
00:46:51,920 --> 00:46:54,600
Speaker 1: if you don't beat him in the Senate, if he's

755
00:46:54,640 --> 00:46:57,839
Speaker 1: still sitting there as the Senate majority leader, it's very

756
00:46:57,920 --> 00:47:01,080
Speaker 1: plausible you be get elected president with a Republican Senate.

757
00:47:01,920 --> 00:47:03,960
Speaker 1: Do you have a plan to deal with nich McConnell.

758
00:47:04,120 --> 00:47:06,520
Speaker 1: You have staked your candidacy on the issue of climate change.

759
00:47:06,960 --> 00:47:09,640
Speaker 1: It is first, second, and third priority for you. You

760
00:47:09,760 --> 00:47:13,239
Speaker 1: said it's all the issues. Let's get specific. We're here

761
00:47:13,280 --> 00:47:16,440
Speaker 1: in Miami, which is already experiencing serious flooding on sunny

762
00:47:16,520 --> 00:47:19,520
Speaker 1: days as a result of sea level rise. Parts of

763
00:47:19,600 --> 00:47:23,360
Speaker 1: Miami Beach and the Keys could be underwater in our lifetimes.

764
00:47:23,800 --> 00:47:28,640
Speaker 1: Does your plan save Miami? Does your plan save Miami

765
00:47:29,560 --> 00:47:31,680
Speaker 1: eight hundred ninety four one seawn if you want to

766
00:47:31,680 --> 00:47:34,840
Speaker 1: be a part of the program that from the extreme

767
00:47:35,120 --> 00:47:39,360
Speaker 1: radical democratic socialist debate from last night, Apparently Hollywood was

768
00:47:39,440 --> 00:47:43,360
Speaker 1: not impressed at all. They were disappointed with this first

769
00:47:43,520 --> 00:47:49,080
Speaker 1: radical extreme Democratic Socialist Party debate, Bill maher I thought

770
00:47:49,120 --> 00:47:52,480
Speaker 1: it was pretty funny, not a promising start. Nobody came

771
00:47:52,560 --> 00:47:55,160
Speaker 1: close to answering the first question with a good one

772
00:47:55,800 --> 00:47:59,239
Speaker 1: seventy percent saying they liked the economy. Well, how could

773
00:47:59,280 --> 00:48:01,920
Speaker 1: you not like the economy now versus what it was?

774
00:48:03,680 --> 00:48:07,280
Speaker 1: When you have six million new jobs created, six million

775
00:48:07,400 --> 00:48:11,520
Speaker 1: fewer Americans on food stamps, the best job market, and

776
00:48:12,080 --> 00:48:16,160
Speaker 1: since nineteen sixty nine in terms of employment situation, you

777
00:48:16,239 --> 00:48:18,759
Speaker 1: have over two million more jobs available than we had.

778
00:48:19,040 --> 00:48:23,080
Speaker 1: Let's see then we do have people on unemployment anyway,

779
00:48:23,120 --> 00:48:25,920
Speaker 1: here to weigh in. Jonathan Gillham, former FBI age in

780
00:48:26,000 --> 00:48:30,080
Speaker 1: Federal Air Marshall, author of Sheep No More. Danielle McLaughlin, attorney,

781
00:48:31,080 --> 00:48:33,160
Speaker 1: is with us. Danielle, how are you good to see?

782
00:48:33,320 --> 00:48:38,040
Speaker 1: And you know, so you have eight You have six

783
00:48:38,160 --> 00:48:42,360
Speaker 1: million new jobs created since Donald Trump's president. You have

784
00:48:42,480 --> 00:48:47,160
Speaker 1: the best job conditions we've ever had since nineteen sixty

785
00:48:47,280 --> 00:48:51,520
Speaker 1: nine we have you compare that to thirteen million additional

786
00:48:51,600 --> 00:48:54,759
Speaker 1: people on food stamps with Biden Obama. That's after eight years,

787
00:48:55,360 --> 00:48:57,680
Speaker 1: and eight million more in poverty and the lowest labor

788
00:48:57,760 --> 00:49:01,440
Speaker 1: participation rate. Since the seventies. So Trump has totally flipped

789
00:49:01,440 --> 00:49:03,839
Speaker 1: it around. We have six million fewer people on food

790
00:49:03,880 --> 00:49:08,120
Speaker 1: stamps since he became president, and nobody can answer that question.

791
00:49:08,239 --> 00:49:10,640
Speaker 1: So they're acting like the economy is awful, but it's

792
00:49:10,680 --> 00:49:13,360
Speaker 1: not awful, you know. I think it's pretty clear that

793
00:49:13,520 --> 00:49:16,680
Speaker 1: the economy under the president has gone from strength to strength,

794
00:49:16,719 --> 00:49:19,080
Speaker 1: and I do think, honestly, Democrats are going to have

795
00:49:19,120 --> 00:49:23,000
Speaker 1: a problem taking him on hit on, because the economy

796
00:49:23,120 --> 00:49:25,840
Speaker 1: is cooking along. One thing I will object to is

797
00:49:25,880 --> 00:49:29,880
Speaker 1: the idea that has just started in two and seventeen

798
00:49:29,920 --> 00:49:33,520
Speaker 1: in January, or you've been making a long but pretty

799
00:49:33,560 --> 00:49:36,399
Speaker 1: amazing recovery since two thousand and eight, two thousand and nine,

800
00:49:36,680 --> 00:49:38,880
Speaker 1: when it is obviously the economy and really the global

801
00:49:38,920 --> 00:49:42,160
Speaker 1: economy completely chanked. Okay, well you could say what you

802
00:49:42,280 --> 00:49:44,560
Speaker 1: want to say, but after eight years, the numbers speak

803
00:49:44,640 --> 00:49:47,560
Speaker 1: for themselves. I mean, I love how liberals try to say,

804
00:49:47,840 --> 00:49:49,800
Speaker 1: you know, have the best of both worlds. Oh, we

805
00:49:49,960 --> 00:49:53,120
Speaker 1: inherited the worst economy. Well, well you've got the eight

806
00:49:53,200 --> 00:49:56,359
Speaker 1: years to fix it. It didn't. Your policies didn't work.

807
00:49:56,880 --> 00:49:59,920
Speaker 1: New policies are put in plate place to end burden.

808
00:50:00,120 --> 00:50:04,200
Speaker 1: Some regulation and to cut taxes, the biggest tax cut

809
00:50:04,280 --> 00:50:08,120
Speaker 1: in history. And now we also have opened up the

810
00:50:08,480 --> 00:50:11,840
Speaker 1: door to energy like we never have before, leading to

811
00:50:12,000 --> 00:50:15,399
Speaker 1: the energy independence for the first time in seventy five years.

812
00:50:15,840 --> 00:50:20,080
Speaker 1: And Jonathan Hill and then they're still saying Wow. But Obama, Biden,

813
00:50:20,160 --> 00:50:22,720
Speaker 1: they they had the worst economy since the Great Depression.

814
00:50:22,760 --> 00:50:24,520
Speaker 1: But now they want to talk about two thousand and nine.

815
00:50:24,520 --> 00:50:27,239
Speaker 1: I mean, they didn't fix it. They never reached three

816
00:50:27,360 --> 00:50:30,880
Speaker 1: percent GDP. It was the worst recovery since the forties.

817
00:50:30,920 --> 00:50:34,279
Speaker 1: As a matter of fact, they're eight years and you know,

818
00:50:34,640 --> 00:50:37,840
Speaker 1: the reality speaks for itself. Well, John, I finally figured

819
00:50:37,840 --> 00:50:40,919
Speaker 1: out last night. Yes, you're absolutely correct. There's a couple

820
00:50:40,920 --> 00:50:44,799
Speaker 1: of things I finally found out last night watching these debates. One,

821
00:50:46,320 --> 00:50:51,520
Speaker 1: these individuals talk loud and they repeat the same information

822
00:50:51,719 --> 00:50:54,120
Speaker 1: and it goes nowhere. When it comes to the economy,

823
00:50:54,320 --> 00:50:56,920
Speaker 1: that's what they do. They don't they don't solve problems.

824
00:50:56,960 --> 00:50:59,600
Speaker 1: They just talk loud about what they think would solve it,

825
00:51:00,000 --> 00:51:03,480
Speaker 1: and then they there's no solution. The other thing is

826
00:51:03,600 --> 00:51:06,640
Speaker 1: that when you speak to a liberal, I guess now

827
00:51:07,080 --> 00:51:09,399
Speaker 1: you have to speak in Spanish. Now. It was last

828
00:51:09,480 --> 00:51:12,560
Speaker 1: night it was as if they were running for the

829
00:51:12,680 --> 00:51:16,400
Speaker 1: leader of a Latino world, uh, not the president of

830
00:51:16,440 --> 00:51:20,400
Speaker 1: the United States, and that it jokingly, I can say that,

831
00:51:20,560 --> 00:51:24,600
Speaker 1: but realistically, it's just people have to see that the

832
00:51:25,160 --> 00:51:27,400
Speaker 1: things that they put out front, that they believe that

833
00:51:27,480 --> 00:51:29,120
Speaker 1: are important, are things that are going to get them

834
00:51:29,239 --> 00:51:32,360
Speaker 1: votes by their constituents, not things that are going to

835
00:51:32,480 --> 00:51:35,760
Speaker 1: fix the problems in this country. And they kept talking

836
00:51:36,120 --> 00:51:41,680
Speaker 1: in Spanish because they are literally trying to go after

837
00:51:41,840 --> 00:51:45,920
Speaker 1: that vote. That's why the illegals coming into this country,

838
00:51:46,000 --> 00:51:48,200
Speaker 1: that's why the immigration issue. They don't want to fix

839
00:51:48,320 --> 00:51:50,920
Speaker 1: it because they're looking at those people as votes. And

840
00:51:51,040 --> 00:51:53,120
Speaker 1: I think that's something that has to be pointed out

841
00:51:53,320 --> 00:51:56,200
Speaker 1: about last night. They did not go after solutions. They

842
00:51:56,280 --> 00:51:58,560
Speaker 1: just spouted things that are going to get them votes

843
00:51:58,840 --> 00:52:00,920
Speaker 1: from the people that followed them on the left. That

844
00:52:01,040 --> 00:52:04,160
Speaker 1: was it. I mean, look at what even even the

845
00:52:04,520 --> 00:52:06,759
Speaker 1: real Speaker of the House, the one that's leading and

846
00:52:06,920 --> 00:52:11,880
Speaker 1: influencing all these twenty twenty candidates, the real power broker,

847
00:52:11,920 --> 00:52:17,160
Speaker 1: it seems in Washington Congresswoman Alexandria Cassio Cortez. Enough it

848
00:52:17,320 --> 00:52:19,640
Speaker 1: looked like a bunch of high school kids that didn't

849
00:52:19,680 --> 00:52:24,120
Speaker 1: read the book over at NBC News, which by the way,

850
00:52:24,200 --> 00:52:27,480
Speaker 1: hosted last night's debate. I mean, they're on they're on

851
00:52:27,560 --> 00:52:30,920
Speaker 1: the network, they're on cable, they're on Telemundo, they're all

852
00:52:30,960 --> 00:52:33,480
Speaker 1: over the place. And they got fifteen million people. It's

853
00:52:33,520 --> 00:52:36,920
Speaker 1: not exactly a mass audience considering all the stations that

854
00:52:37,040 --> 00:52:40,160
Speaker 1: they were on at one time handling this. But anyway,

855
00:52:40,360 --> 00:52:43,200
Speaker 1: the ten candidates performing in the room at the center

856
00:52:43,280 --> 00:52:46,480
Speaker 1: of it. And you know what is the conclusion of

857
00:52:47,160 --> 00:52:51,160
Speaker 1: the debate um that Donald Trump is the big winner.

858
00:52:51,400 --> 00:52:53,359
Speaker 1: It's a great piece in the New York Posts saying

859
00:52:53,400 --> 00:52:56,440
Speaker 1: the exact same thing. Donald Trump won last night. And

860
00:52:56,560 --> 00:52:59,480
Speaker 1: it was dull and it was boring, and they're screaming

861
00:52:59,560 --> 00:53:04,440
Speaker 1: like a lunatics. And their plan was just tried the

862
00:53:04,560 --> 00:53:07,560
Speaker 1: last eight years and it failed. What, you know, what

863
00:53:07,680 --> 00:53:09,880
Speaker 1: are they going to do to keep us safe and secure?

864
00:53:10,000 --> 00:53:11,800
Speaker 1: What are they going to do to keep the economy

865
00:53:11,880 --> 00:53:14,840
Speaker 1: coming along? They don't even acknowledge the success of Donald

866
00:53:14,840 --> 00:53:17,160
Speaker 1: Trump's policies. So they want to go back to what

867
00:53:17,360 --> 00:53:21,319
Speaker 1: seventy percent tax rates and that's for individuals, top marginal rates,

868
00:53:21,440 --> 00:53:26,920
Speaker 1: nine top marginal rates for corporations, a wealth tax tax

869
00:53:27,000 --> 00:53:29,960
Speaker 1: everybody to death. This insane New Green Deal in some

870
00:53:30,160 --> 00:53:32,560
Speaker 1: way shape manner of form Medicare for all, but you

871
00:53:32,600 --> 00:53:35,720
Speaker 1: can't have your own healthcare that they think Americans already

872
00:53:35,760 --> 00:53:38,120
Speaker 1: forgot about keep your doctor plan and save money. And

873
00:53:38,200 --> 00:53:41,480
Speaker 1: they want open borders. Okay, maybe they're better at speaking

874
00:53:41,600 --> 00:53:44,360
Speaker 1: Spanish than Donald Trump. I guess they win that department.

875
00:53:44,440 --> 00:53:47,080
Speaker 1: But you know, it's not about what you know foreign

876
00:53:47,200 --> 00:53:49,360
Speaker 1: languages you speak when you want to be the president.

877
00:53:49,800 --> 00:53:52,680
Speaker 1: Look on Texas. I think what the Democrats are saying

878
00:53:52,800 --> 00:53:55,719
Speaker 1: is the line that Warren Boffett has taken over and

879
00:53:55,840 --> 00:53:58,120
Speaker 1: over and over again. He is saying, because of the

880
00:53:58,160 --> 00:54:00,120
Speaker 1: way that I earned my money, I pay really all

881
00:54:00,120 --> 00:54:03,560
Speaker 1: the taxes. My secretary pays more money in taxes to

882
00:54:03,640 --> 00:54:05,719
Speaker 1: the funeral and state governments than I do. An I'm

883
00:54:05,840 --> 00:54:10,839
Speaker 1: war on Buffett, cool persons like Amazon, like fis it. Well,

884
00:54:10,880 --> 00:54:12,440
Speaker 1: I don't know how the hell he gets away with it,

885
00:54:12,560 --> 00:54:15,560
Speaker 1: because I make a little bit more money than my assistant,

886
00:54:16,040 --> 00:54:18,799
Speaker 1: and I will tell you that I pay a hell

887
00:54:18,840 --> 00:54:21,120
Speaker 1: of a lot more in taxes by far. I don't

888
00:54:21,120 --> 00:54:23,400
Speaker 1: know what he's doing. Maybe he could teach me the

889
00:54:23,480 --> 00:54:25,680
Speaker 1: tricks of the trade, but it sounds like I wouldn't

890
00:54:25,760 --> 00:54:28,520
Speaker 1: dare try and take whatever tax deductions he's got, because

891
00:54:28,520 --> 00:54:30,680
Speaker 1: if I did, they put me in jail. How does

892
00:54:30,719 --> 00:54:33,120
Speaker 1: he get away with not paying taxes? And you know

893
00:54:33,239 --> 00:54:35,360
Speaker 1: all this way that he earns his income. Well, but

894
00:54:35,440 --> 00:54:38,200
Speaker 1: the problem Look listen, it's sort of like everyone's saying, well,

895
00:54:38,280 --> 00:54:40,839
Speaker 1: these big corporations don't pay taxes. Well, in a way,

896
00:54:40,920 --> 00:54:43,600
Speaker 1: they don't because any taxes they have to pay they

897
00:54:43,640 --> 00:54:48,320
Speaker 1: pass on to us the consumers. Raising taxes on corporations

898
00:54:48,719 --> 00:54:51,480
Speaker 1: means we pay more for the goods and services we want,

899
00:54:51,600 --> 00:54:53,960
Speaker 1: need in desire. But the fact of the matter is

900
00:54:54,320 --> 00:54:59,000
Speaker 1: is raising taxes spreading the wealth guaranteeing everything doesn't work?

901
00:54:59,200 --> 00:55:03,719
Speaker 1: Did Obama worked, Danielle? Were Americans fed a bill of

902
00:55:03,840 --> 00:55:06,280
Speaker 1: goods when they were told they can keep their doctors,

903
00:55:06,440 --> 00:55:09,279
Speaker 1: keep their plans, and pay less. Oh that's the only

904
00:55:09,360 --> 00:55:10,920
Speaker 1: thing you have to hang your head on. Is here? No,

905
00:55:11,040 --> 00:55:13,480
Speaker 1: it's not the only thing. They know, it's not I

906
00:55:13,560 --> 00:55:17,120
Speaker 1: can go on. Venezuela made all the same promises to

907
00:55:17,239 --> 00:55:19,919
Speaker 1: their people, and they're eating out of garbage trucks, as

908
00:55:19,960 --> 00:55:23,200
Speaker 1: did Cuba, as did the former Soviet Union. You know,

909
00:55:23,320 --> 00:55:27,359
Speaker 1: the same lies have been spread throughout history and socialism

910
00:55:27,480 --> 00:55:31,000
Speaker 1: doesn't work. But the biggest wealth creator and the biggest

911
00:55:31,200 --> 00:55:34,279
Speaker 1: you know that which will raise the standard of living

912
00:55:34,360 --> 00:55:38,160
Speaker 1: of every American is free market capitalism and energy independence

913
00:55:38,600 --> 00:55:44,680
Speaker 1: and low taxes and limited government regulation into business. That works.

914
00:55:44,760 --> 00:55:47,319
Speaker 1: That's worked for Reagan, that's worked for Kennedy, that's worked

915
00:55:47,360 --> 00:55:50,520
Speaker 1: for Donald Trump. It'll work again. What Obama wanted was

916
00:55:50,600 --> 00:55:53,520
Speaker 1: that people didn't die because they couldn't afford their in FIOLA.

917
00:55:53,560 --> 00:55:56,560
Speaker 1: Because that's not what Obama promised. I have Obama on

918
00:55:56,719 --> 00:55:59,880
Speaker 1: tape saying, you get to keep your doctor. Millions of

919
00:56:00,080 --> 00:56:03,120
Speaker 1: Americans lost their doctors. You get to keep your plan.

920
00:56:03,320 --> 00:56:07,160
Speaker 1: Millions millions of Americans lost their plans. You get to

921
00:56:07,320 --> 00:56:10,960
Speaker 1: save money every one of them. Everybody paid more and

922
00:56:11,080 --> 00:56:13,800
Speaker 1: in some cases two and three hundred percent more. So

923
00:56:14,000 --> 00:56:17,440
Speaker 1: they didn't keep their promise. So now they're promising everything

924
00:56:17,600 --> 00:56:20,840
Speaker 1: is free. Well, I'm sorry it didn't work on that

925
00:56:21,040 --> 00:56:24,160
Speaker 1: one small item. Why would you have faith, hope and

926
00:56:24,320 --> 00:56:27,399
Speaker 1: confidence that there's big plan that will never get out

927
00:56:27,440 --> 00:56:29,160
Speaker 1: of is going to work. Here is the problem with

928
00:56:29,280 --> 00:56:31,680
Speaker 1: health insurance. It's not like any other good. And I

929
00:56:31,760 --> 00:56:34,960
Speaker 1: don't think capitalists. Did Obama keep his promises? I'm asking

930
00:56:35,040 --> 00:56:37,759
Speaker 1: you did did Obamacare? Did he live up to the

931
00:56:37,840 --> 00:56:42,640
Speaker 1: Obamacare promises? Yes? Or no? No, not all of them? No, no, No,

932
00:56:42,760 --> 00:56:44,920
Speaker 1: he didn't live it. No he No, he didn't live

933
00:56:45,000 --> 00:56:47,080
Speaker 1: up to any of them. I think you could ask

934
00:56:47,200 --> 00:56:50,320
Speaker 1: someone who actually got insurance because of Obamacare. He raised

935
00:56:50,440 --> 00:56:55,719
Speaker 1: the right at which everybody paid more sure or false? Everybody? No,

936
00:56:56,480 --> 00:56:59,759
Speaker 1: everybody paid more. Absolutely not. Some people had no one

937
00:57:00,400 --> 00:57:03,080
Speaker 1: and they could achieve it because of Obamacare because the

938
00:57:03,160 --> 00:57:08,640
Speaker 1: income threshold for getting Medicaid was increased, so low account people,

939
00:57:09,040 --> 00:57:12,000
Speaker 1: plenty of them around this country who had no insurance,

940
00:57:12,320 --> 00:57:15,560
Speaker 1: got insurance, got healthcare. It wasn't perfect. I know some

941
00:57:15,680 --> 00:57:18,600
Speaker 1: people paid more. I know small business owners really really

942
00:57:18,640 --> 00:57:21,439
Speaker 1: really hurt. This is a really complex problem and it's

943
00:57:21,440 --> 00:57:24,080
Speaker 1: not a clean, clear solution. Now if you can't see

944
00:57:24,160 --> 00:57:27,040
Speaker 1: the simple truth, if they're gonna if they're gonna handle

945
00:57:27,080 --> 00:57:32,360
Speaker 1: guaranteed job, healthcare, healthy food, guaranteed healthcare, Medicare for all,

946
00:57:32,400 --> 00:57:36,000
Speaker 1: but you can't I'm private, you can't sustain it because

947
00:57:36,040 --> 00:57:38,640
Speaker 1: it's not and then you're gonna destroy business, and well

948
00:57:38,800 --> 00:57:42,360
Speaker 1: everyone's gonna leave, all right eight hundred nine four one Sean,

949
00:57:42,440 --> 00:57:43,600
Speaker 1: If you want to be a part of the program,

950
00:57:43,760 --> 00:57:47,919
Speaker 1: Quick Break More with Danielle McLoughlin, Jonathan Gillham, Great Hannity tonight,

951
00:57:47,960 --> 00:57:50,440
Speaker 1: we'll tell you about that. We will mock the Democratic

952
00:57:50,520 --> 00:57:55,640
Speaker 1: Debate ninety Eastern on Fox. All right, So you know

953
00:57:56,080 --> 00:57:58,800
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961
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970
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971
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977
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978
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Speaker 1: will not regret it. All Right, as we continue with

979
00:59:20,680 --> 00:59:24,440
Speaker 1: Jonathan Gillham, former FBI agent, Federal Air Marshall, author of

980
00:59:24,520 --> 00:59:28,320
Speaker 1: Sheep No More. Liberal attorney Danielle McLaughlan is also with us.

981
00:59:28,760 --> 00:59:32,120
Speaker 1: You know, if we can't fundamentally answer that question though

982
00:59:32,320 --> 00:59:37,400
Speaker 1: honestly did well the promises of Obamacare kept no, Jonathan,

983
00:59:37,520 --> 00:59:40,000
Speaker 1: The answers no. And then if they're gonna promise, well,

984
00:59:40,000 --> 00:59:42,360
Speaker 1: we'll have Medicare for all, but that's gonna work. But

985
00:59:42,440 --> 00:59:44,960
Speaker 1: you don't even have the backup option now of even

986
00:59:45,040 --> 00:59:48,440
Speaker 1: having your own policy. That is never gonna work. So

987
00:59:49,120 --> 00:59:53,080
Speaker 1: if people want to believe, like other countries, have you

988
00:59:53,400 --> 00:59:56,480
Speaker 1: sold the same lie, where do we end up, well,

989
00:59:56,600 --> 00:59:58,560
Speaker 1: we end up like the BA when it comes to

990
00:59:58,640 --> 01:00:02,880
Speaker 1: healthcare with a word healthcare system. Look, here's the fact

991
01:00:02,960 --> 01:00:05,000
Speaker 1: of all this show. I'm glad that you're bringing up

992
01:00:05,040 --> 01:00:08,640
Speaker 1: the healthcare is because it's a perfect example of way

993
01:00:09,000 --> 01:00:12,360
Speaker 1: politics in Washington, DC works these days. Is that they

994
01:00:12,480 --> 01:00:14,880
Speaker 1: come up with an idea or they have some kind

995
01:00:14,920 --> 01:00:18,440
Speaker 1: of activists slant on something, and they push forward on

996
01:00:18,520 --> 01:00:21,040
Speaker 1: it without thinking it through. There it's not like they

997
01:00:21,160 --> 01:00:24,439
Speaker 1: came up with a real solution to healthcare, just slack.

998
01:00:24,480 --> 01:00:26,720
Speaker 1: They're not going to come up with a real solution

999
01:00:27,080 --> 01:00:28,920
Speaker 1: to Iran or any of the other stuff. If you

1000
01:00:29,080 --> 01:00:31,880
Speaker 1: leave it to the left and the establishment of Republicans,

1001
01:00:32,080 --> 01:00:34,480
Speaker 1: Washington DC is broken when it comes to that. And

1002
01:00:34,560 --> 01:00:36,880
Speaker 1: that's what I've always liked about President Trump is that

1003
01:00:37,320 --> 01:00:40,600
Speaker 1: he looks at things from an effective point of view.

1004
01:00:40,680 --> 01:00:43,520
Speaker 1: How do we fix this, what's the long term effect

1005
01:00:43,560 --> 01:00:45,360
Speaker 1: of this, what's the short term effect of what's the

1006
01:00:45,440 --> 01:00:47,760
Speaker 1: short term goal in the long term goal? And that's

1007
01:00:47,760 --> 01:00:49,880
Speaker 1: the way he looks at these things, and there's evidence

1008
01:00:49,960 --> 01:00:52,560
Speaker 1: that he does that. His biggest problem, I think is

1009
01:00:52,600 --> 01:00:54,760
Speaker 1: the people there are the swampers that are advising him

1010
01:00:54,760 --> 01:00:56,480
Speaker 1: and a lot of stuff. I think they get it wrong.

1011
01:00:56,600 --> 01:00:59,360
Speaker 1: But when you look at the healthcare system in the

1012
01:00:59,400 --> 01:01:03,160
Speaker 1: way that they have approached it, Obama put a system

1013
01:01:03,240 --> 01:01:06,720
Speaker 1: in place that did not work. It didn't work for everybody.

1014
01:01:07,120 --> 01:01:09,200
Speaker 1: You know. Maybe some people say they got this, other

1015
01:01:09,280 --> 01:01:12,120
Speaker 1: people say they lost that. The fact is it didn't work.

1016
01:01:12,360 --> 01:01:16,200
Speaker 1: They implemented it anyway, and that's the way politics, especially

1017
01:01:16,240 --> 01:01:18,600
Speaker 1: on the left, works, and nobody can argue that. Fat

1018
01:01:18,720 --> 01:01:21,800
Speaker 1: All right, we'll give you the last word, Danielle. Although

1019
01:01:21,880 --> 01:01:24,120
Speaker 1: I expect this is going to be painful, go ahead.

1020
01:01:25,400 --> 01:01:27,400
Speaker 1: I guess I'm just wondering what the Republican plan for

1021
01:01:27,480 --> 01:01:30,040
Speaker 1: healthcare is. That's my question, because I don't know what

1022
01:01:30,120 --> 01:01:32,960
Speaker 1: it is. I know what it is health savings accounts

1023
01:01:33,280 --> 01:01:38,040
Speaker 1: and the combination of healthcare cooperatives like Josh Humber in Wichita, Kansas,

1024
01:01:38,160 --> 01:01:41,080
Speaker 1: who I've interviewed hundreds of times now on radio and TV.

1025
01:01:41,720 --> 01:01:46,120
Speaker 1: Read Patient Power by Musgrave and Goodwin. It's put out

1026
01:01:46,160 --> 01:01:49,360
Speaker 1: by the Cato Institute. That book has been out for

1027
01:01:49,640 --> 01:01:53,560
Speaker 1: a long time. There offers free market solutions to healthcare.

1028
01:01:53,640 --> 01:01:57,280
Speaker 1: People control their own healthcare sources and money, and it

1029
01:01:57,400 --> 01:02:01,480
Speaker 1: incentivizes people to save money. On top of it, you

1030
01:02:01,560 --> 01:02:05,080
Speaker 1: know at there are so many different options. Get a

1031
01:02:05,160 --> 01:02:09,360
Speaker 1: catastrophic planet. Then get a primary doctor like our friend

1032
01:02:09,440 --> 01:02:11,880
Speaker 1: Josh Chumber. And guess what you're paying fifty bucks a

1033
01:02:11,960 --> 01:02:14,360
Speaker 1: month as an adult for the day to day care.

1034
01:02:14,440 --> 01:02:18,240
Speaker 1: You need a ninety percent reduction and prescriptions and that

1035
01:02:18,360 --> 01:02:21,800
Speaker 1: includes stitches, broken bones, etc. If you have anything like cancer,

1036
01:02:21,880 --> 01:02:24,680
Speaker 1: heart attack, bad accident. Well that's what a catastrophic plan

1037
01:02:24,840 --> 01:02:27,560
Speaker 1: is for high deductible, you pay very little money per year.

1038
01:02:28,160 --> 01:02:31,200
Speaker 1: Solution right there. You want to know what the solution is,

1039
01:02:31,240 --> 01:02:33,560
Speaker 1: I just gave it to you. Let's okay. So they

1040
01:02:33,640 --> 01:02:36,040
Speaker 1: have a presidency, they have to stand it. So let's

1041
01:02:36,040 --> 01:02:38,440
Speaker 1: see healthcare bell because I want to be I have

1042
01:02:38,560 --> 01:02:41,040
Speaker 1: no faith in them. Listen, you know I'm not a Republican,

1043
01:02:41,120 --> 01:02:44,200
Speaker 1: so you're talking to the wrong guy. I am a conservative,

1044
01:02:44,320 --> 01:02:45,800
Speaker 1: all right. I gotta let it go. Thank you eight

1045
01:02:45,920 --> 01:02:48,120
Speaker 1: hundred nine for one. Sean. Let me come back to

1046
01:02:48,560 --> 01:02:51,800
Speaker 1: News Round Up, Information Overload, and Donald Trump Junior checks

1047
01:02:51,840 --> 01:02:54,280
Speaker 1: in his brother Eric spit in the face in the

1048
01:02:54,440 --> 01:02:56,760
Speaker 1: Chicago restaurant. This week. We'll talk to him about that,

1049
01:02:57,360 --> 01:03:00,240
Speaker 1: how the families treated, and how this election is going

1050
01:03:00,280 --> 01:03:03,440
Speaker 1: to go on last night's debate straight ahead, stay right

1051
01:03:03,520 --> 01:03:08,040
Speaker 1: here for our final news round up and information Overload. Unprovoked,

1052
01:03:08,160 --> 01:03:10,800
Speaker 1: this woman came up to him, literally spit in his

1053
01:03:10,960 --> 01:03:13,800
Speaker 1: face and had some really nasty things to say to him,

1054
01:03:14,240 --> 01:03:17,600
Speaker 1: and he played it so calm and so cool. Did

1055
01:03:17,680 --> 01:03:19,760
Speaker 1: not press charges against this woman, which I think a

1056
01:03:19,840 --> 01:03:22,560
Speaker 1: lot of people would have done, but it probably would

1057
01:03:22,560 --> 01:03:24,080
Speaker 1: have been very hard for me to get to remain

1058
01:03:24,120 --> 01:03:27,040
Speaker 1: calm in that situation. This is the new normal for

1059
01:03:27,120 --> 01:03:30,680
Speaker 1: the left, and it's acceptable for some reason whenever you

1060
01:03:30,800 --> 01:03:33,320
Speaker 1: are fighting on the side of the Democrats to do

1061
01:03:33,520 --> 01:03:36,720
Speaker 1: things like this. I can't imagine this ever happening to

1062
01:03:36,880 --> 01:03:40,600
Speaker 1: Chelsea Clinton, to Sasha Emilia Obama. This is disgusting, all right,

1063
01:03:40,800 --> 01:03:43,320
Speaker 1: glad you what those news round Up Information overload our

1064
01:03:44,040 --> 01:03:47,040
Speaker 1: You look at what happened to Eric Trump earlier this week.

1065
01:03:47,160 --> 01:03:51,800
Speaker 1: He's in a restaurant in Chicago and some employee comes

1066
01:03:51,840 --> 01:03:55,280
Speaker 1: and literally spits in his face. Now, this is not

1067
01:03:55,480 --> 01:03:57,720
Speaker 1: new for the Trump family and the way the Trump

1068
01:03:57,800 --> 01:04:00,080
Speaker 1: family has been treated. You know, look at it, the

1069
01:04:00,160 --> 01:04:03,600
Speaker 1: treatment even of eleven year old son Baron Trump at

1070
01:04:03,640 --> 01:04:07,320
Speaker 1: the time. You know, Kathy Griffin, a decapitated head. You know,

1071
01:04:07,400 --> 01:04:09,920
Speaker 1: look what looked like a decapitated head of the president

1072
01:04:10,120 --> 01:04:12,400
Speaker 1: or you know, I dream an awful lot about blowing

1073
01:04:12,480 --> 01:04:14,960
Speaker 1: up the White House. It all started there, and then

1074
01:04:15,000 --> 01:04:18,520
Speaker 1: you can take on the attacks against Oh, let's see Malani,

1075
01:04:18,600 --> 01:04:23,960
Speaker 1: your Trump, Ivanka Trump, Donald Trump Junior, Jared Trump, uh

1076
01:04:24,320 --> 01:04:27,080
Speaker 1: and the entire family. It's endless. Then you got the

1077
01:04:27,160 --> 01:04:29,720
Speaker 1: two year, two plus year witch hunt against the entire

1078
01:04:29,800 --> 01:04:32,600
Speaker 1: family here to react to this a much more. Donald

1079
01:04:32,640 --> 01:04:37,040
Speaker 1: Trump Junior, he's a very shy, demure and quiet Trump.

1080
01:04:37,160 --> 01:04:39,880
Speaker 1: He's not. He's not the most outspoken Trump in the family.

1081
01:04:40,000 --> 01:04:42,800
Speaker 1: How are you I'm the wallflower shown I'm the wallflower.

1082
01:04:42,880 --> 01:04:47,000
Speaker 1: Good thing. No, I actually think I think you're the

1083
01:04:47,080 --> 01:04:50,280
Speaker 1: most like your dad in terms of combativeness. I don't

1084
01:04:50,320 --> 01:04:52,880
Speaker 1: even think there's a question about that. I think you're right.

1085
01:04:52,920 --> 01:04:55,000
Speaker 1: It's it's sort of funny, you know, in business and

1086
01:04:55,080 --> 01:04:59,080
Speaker 1: in life, love the outdoor stuff. He's always doing this.

1087
01:05:00,040 --> 01:05:02,320
Speaker 1: You know, it took politics for us to realize that

1088
01:05:02,440 --> 01:05:04,800
Speaker 1: maybe we're the same person, which is both good and

1089
01:05:04,920 --> 01:05:07,240
Speaker 1: maybe scary. But yeah, it took me forty years. If

1090
01:05:07,240 --> 01:05:08,880
Speaker 1: I left out, I was a lot more like my

1091
01:05:08,960 --> 01:05:11,280
Speaker 1: dad than I ever thought. Well, I mean, the interesting

1092
01:05:11,400 --> 01:05:14,200
Speaker 1: thing is, because I know Eric, well, I know you, well,

1093
01:05:14,720 --> 01:05:16,720
Speaker 1: why do I think you may not have reacted the

1094
01:05:16,800 --> 01:05:18,960
Speaker 1: same way? And I'm just guessing. I don't know. I mean,

1095
01:05:19,480 --> 01:05:23,080
Speaker 1: look your brother, to his credit, just like remember Nicholas Salmon,

1096
01:05:23,160 --> 01:05:25,640
Speaker 1: I mean, the sixteen year old kid, you know, has

1097
01:05:25,680 --> 01:05:28,600
Speaker 1: to go through verbal abuse and being called every name

1098
01:05:28,680 --> 01:05:32,240
Speaker 1: in the book by you know, this Black Israelite group,

1099
01:05:32,320 --> 01:05:36,200
Speaker 1: Hebrew Israelite group, and then you have Nathan Phillips banging

1100
01:05:36,240 --> 01:05:38,800
Speaker 1: a drum in his face. Then you have the medius.

1101
01:05:39,360 --> 01:05:43,280
Speaker 1: You know, they're slanders, their smears, they're libel, their character assassination.

1102
01:05:43,280 --> 01:05:45,880
Speaker 1: By the way, they're gonna pay hundreds of millions. I

1103
01:05:46,000 --> 01:05:49,920
Speaker 1: know Linwood. Linwood is a killer attorney, and he deserves

1104
01:05:50,000 --> 01:05:54,480
Speaker 1: every penny. I don't think many people would have reacted

1105
01:05:54,520 --> 01:05:56,640
Speaker 1: the same way and kept cool and not said something.

1106
01:05:56,760 --> 01:05:59,200
Speaker 1: You know, I'd like to believe that I'd be able

1107
01:05:59,240 --> 01:06:02,000
Speaker 1: to respond like a Samman or you know, frankly like Eric,

1108
01:06:02,040 --> 01:06:04,000
Speaker 1: I'm just not sure that's my style. You have someone

1109
01:06:04,000 --> 01:06:09,480
Speaker 1: assaults by the way, Yeah, I mean it's hard to

1110
01:06:09,680 --> 01:06:14,440
Speaker 1: look at what Nicolas Salman did with just pitch perfect response.

1111
01:06:14,680 --> 01:06:17,880
Speaker 1: I mean, for a sixteen year old, it was pretty remarkable.

1112
01:06:18,000 --> 01:06:20,640
Speaker 1: And I frankly think what your brother did, I mean,

1113
01:06:20,840 --> 01:06:24,560
Speaker 1: having the patience a job and and not standing up

1114
01:06:24,640 --> 01:06:26,880
Speaker 1: and and you know he has every right at that

1115
01:06:26,960 --> 01:06:29,080
Speaker 1: point to defend himself, although in New York it's a

1116
01:06:29,120 --> 01:06:31,400
Speaker 1: little different. That's the differences, you know, Sam. And I mean,

1117
01:06:31,600 --> 01:06:33,360
Speaker 1: you know, a lot of pressure for a young kid

1118
01:06:33,440 --> 01:06:35,040
Speaker 1: to be able to do, to be able to you know,

1119
01:06:35,480 --> 01:06:37,520
Speaker 1: maintain that cool. And I mean and he got hell

1120
01:06:37,680 --> 01:06:40,160
Speaker 1: for not doing anything. He just cool and you know

1121
01:06:40,520 --> 01:06:43,439
Speaker 1: it barely had a split face, just sort of dealing

1122
01:06:43,520 --> 01:06:45,320
Speaker 1: with it. Again, I don't think a lot of people

1123
01:06:45,360 --> 01:06:47,720
Speaker 1: wouldn't have just been, you know, push someone out of

1124
01:06:47,760 --> 01:06:49,360
Speaker 1: their way to get him out of their face, you know,

1125
01:06:49,400 --> 01:06:51,080
Speaker 1: when they're invading their spaces. But then it would have

1126
01:06:51,120 --> 01:06:52,840
Speaker 1: been assault. And that's what the media was looking for.

1127
01:06:53,040 --> 01:06:55,680
Speaker 1: Man in his case, the media was looking for him

1128
01:06:55,760 --> 01:06:58,720
Speaker 1: to respond because it was the holy grail you know,

1129
01:06:58,840 --> 01:07:00,960
Speaker 1: of their identity policy takes. You had a you know,

1130
01:07:01,280 --> 01:07:06,560
Speaker 1: white male Christian from Kentucky. Uh, you know, this was

1131
01:07:06,800 --> 01:07:10,280
Speaker 1: you know, their dream assault case for this guy to

1132
01:07:10,400 --> 01:07:12,880
Speaker 1: take on you know, the the you know, the fake

1133
01:07:13,000 --> 01:07:15,400
Speaker 1: Vietnam that guy you know those you know, basically a

1134
01:07:15,440 --> 01:07:17,760
Speaker 1: professional instigator but you know that would have never come

1135
01:07:17,800 --> 01:07:19,959
Speaker 1: out had it gone the other way, had he done something,

1136
01:07:20,040 --> 01:07:23,520
Speaker 1: had he reacted. So I think Jo's speaking considering the

1137
01:07:23,520 --> 01:07:26,280
Speaker 1: amount of heat that they take. The conservative conservatives really

1138
01:07:26,360 --> 01:07:29,560
Speaker 1: do a much better job of that now. Again, as

1139
01:07:29,600 --> 01:07:33,480
Speaker 1: I've said to you, whether it's that physically or otherwise, uh,

1140
01:07:33,600 --> 01:07:35,120
Speaker 1: you know, I don't know that the turn the other

1141
01:07:35,200 --> 01:07:38,439
Speaker 1: cheek mentality has gotten us too many places. We've given

1142
01:07:38,520 --> 01:07:40,640
Speaker 1: up grounds of the liberals on this one for for

1143
01:07:40,760 --> 01:07:43,600
Speaker 1: decades because of it. And I think maybe that's the difference.

1144
01:07:43,720 --> 01:07:47,040
Speaker 1: I don't mean physically. I'm talking as you know, response

1145
01:07:47,520 --> 01:07:50,160
Speaker 1: to the political attacks. And I think my father's shown

1146
01:07:50,200 --> 01:07:53,160
Speaker 1: conservatives and has you know, really created a whole new

1147
01:07:53,240 --> 01:07:56,960
Speaker 1: other generation of conservative thought fighters, you know, not those

1148
01:07:57,000 --> 01:07:58,680
Speaker 1: who just you know, well turned the other cheek because

1149
01:07:58,680 --> 01:08:00,200
Speaker 1: we don't want to be called a bad name by

1150
01:08:00,280 --> 01:08:03,680
Speaker 1: the left. He's fought back, he's shown that it can

1151
01:08:03,720 --> 01:08:05,880
Speaker 1: be done, and he's shown others that you can do

1152
01:08:05,960 --> 01:08:09,240
Speaker 1: it successfully, you know, unlike so many of the conservative

1153
01:08:09,400 --> 01:08:12,000
Speaker 1: leaders before that. And I say leaders in clutes because

1154
01:08:12,080 --> 01:08:14,640
Speaker 1: they were leaders because every time they actually were challenged,

1155
01:08:14,680 --> 01:08:16,400
Speaker 1: they gave up. They don't want to be called a

1156
01:08:16,479 --> 01:08:18,320
Speaker 1: bad name by the other side. So they were very

1157
01:08:18,360 --> 01:08:21,000
Speaker 1: principled until they were actually had to put those things

1158
01:08:21,040 --> 01:08:23,040
Speaker 1: to Keyston. Then they folded like a cheap rug. So

1159
01:08:23,760 --> 01:08:25,679
Speaker 1: it's been great to see that because I think, frankly,

1160
01:08:25,760 --> 01:08:30,560
Speaker 1: for the ideology of conservatism to survive, we couldn't just

1161
01:08:30,760 --> 01:08:32,960
Speaker 1: keep taking the loss because the other side wants us

1162
01:08:33,000 --> 01:08:36,200
Speaker 1: to even when we were right and I think we're that.

1163
01:08:36,200 --> 01:08:37,800
Speaker 1: You don't have to do that anymo. Well, let's go

1164
01:08:38,080 --> 01:08:41,120
Speaker 1: Matt Romney. I knew very well and in twenty twelve

1165
01:08:41,200 --> 01:08:43,400
Speaker 1: he was a very nice man and he was running

1166
01:08:43,400 --> 01:08:46,080
Speaker 1: a good campaign, and I thought he had a chance

1167
01:08:46,160 --> 01:08:48,200
Speaker 1: to win. I thought he blew it, especially in the

1168
01:08:48,360 --> 01:08:51,120
Speaker 1: second and third debate. The third debate in particularly, I

1169
01:08:51,160 --> 01:08:53,840
Speaker 1: don't know why he took his foot off the game.

1170
01:08:53,880 --> 01:08:55,639
Speaker 1: I agree with you he had Obama on the ropes

1171
01:08:55,640 --> 01:08:57,920
Speaker 1: and he really did totally. I think I put up

1172
01:08:57,920 --> 01:08:59,840
Speaker 1: a tweet at the time that was like, quick, get Obama,

1173
01:09:00,040 --> 01:09:02,120
Speaker 1: pelo prompt your stat because he doesn't know how to perform,

1174
01:09:02,320 --> 01:09:05,000
Speaker 1: you know, without one right. And then he laid down obvious.

1175
01:09:05,040 --> 01:09:06,960
Speaker 1: But then he was worried about being called a name.

1176
01:09:07,040 --> 01:09:09,680
Speaker 1: He was worried about having trying to have a perfect transition.

1177
01:09:09,800 --> 01:09:12,679
Speaker 1: So the last three months were spent formulating the most

1178
01:09:13,080 --> 01:09:16,080
Speaker 1: incredible transition in the history of the world. The only

1179
01:09:16,160 --> 01:09:17,880
Speaker 1: problem is that the day after the election they went

1180
01:09:17,960 --> 01:09:20,720
Speaker 1: in a shredder in about six eight. Well, but the

1181
01:09:20,840 --> 01:09:24,160
Speaker 1: point is they still referred to him as a you know,

1182
01:09:24,439 --> 01:09:28,120
Speaker 1: racist and a sexist and a misogynist, and they went

1183
01:09:28,520 --> 01:09:31,600
Speaker 1: when he cuts some kids hair and boarding school or

1184
01:09:31,720 --> 01:09:34,840
Speaker 1: something ridiculous. And you know, it doesn't matter if you're

1185
01:09:34,920 --> 01:09:38,519
Speaker 1: nice to them, everybody is going to be. Uh, if

1186
01:09:38,560 --> 01:09:41,760
Speaker 1: you're a conservative, if you're a Republican, this is standard fair.

1187
01:09:41,800 --> 01:09:46,000
Speaker 1: You're racist, you're sexist, you're misogynist, je homophobic, xenophobic is homophobic,

1188
01:09:46,160 --> 01:09:48,240
Speaker 1: no matter what, and no matter what you've done in

1189
01:09:48,280 --> 01:09:51,200
Speaker 1: your past, it doesn't matter. Hey, look at all the

1190
01:09:51,280 --> 01:09:53,720
Speaker 1: people who you know, they're all over the photographs of

1191
01:09:54,439 --> 01:09:56,960
Speaker 1: whether it's people from the African American community, there were

1192
01:09:57,040 --> 01:09:58,880
Speaker 1: leaders in that they sharpeness of the world. That yeah,

1193
01:09:58,880 --> 01:10:03,720
Speaker 1: they have plenty of they're all of a sudden two

1194
01:10:03,720 --> 01:10:05,400
Speaker 1: weeks after announced it, Oh you're gonna be a Republican.

1195
01:10:05,479 --> 01:10:08,120
Speaker 1: That well, you're you're now all of a sudden, magically

1196
01:10:08,320 --> 01:10:11,360
Speaker 1: XYZ right. Oh yeah, listen. I think it was important,

1197
01:10:11,400 --> 01:10:13,640
Speaker 1: and I think the case of Trump was so extreme

1198
01:10:14,120 --> 01:10:16,880
Speaker 1: that people now get it. Meaning there's no points for

1199
01:10:17,040 --> 01:10:18,960
Speaker 1: doing the right thing. There's no points for being the

1200
01:10:19,040 --> 01:10:21,120
Speaker 1: good guy. There's no points for doing that. You don't

1201
01:10:21,120 --> 01:10:23,200
Speaker 1: get points from the other side. They don't give you points.

1202
01:10:23,840 --> 01:10:26,599
Speaker 1: But this is an important point. Don What you're saying

1203
01:10:26,640 --> 01:10:29,880
Speaker 1: here is profound because Romney didn't fight back, and they

1204
01:10:29,920 --> 01:10:32,600
Speaker 1: called him every name in the book. Your dad is

1205
01:10:32,600 --> 01:10:35,599
Speaker 1: a fight to those names. Anyway you're gonna be called

1206
01:10:35,640 --> 01:10:37,920
Speaker 1: those exactly, you might as well. You might as well

1207
01:10:38,000 --> 01:10:42,200
Speaker 1: defend yourself and fight back. But it also benefits the country.

1208
01:10:42,400 --> 01:10:45,560
Speaker 1: Look at how your father, no matter what, is unrelenting

1209
01:10:45,680 --> 01:10:48,839
Speaker 1: in his pursuit of getting that wall built, in pursuing

1210
01:10:48,960 --> 01:10:52,840
Speaker 1: good trade deals. You know, he talked about tariffs. Look

1211
01:10:52,840 --> 01:10:56,400
Speaker 1: at how fast Mexico back down. But he pushed for

1212
01:10:56,439 --> 01:10:58,960
Speaker 1: the tax cuts. He kept his promise on judges, he

1213
01:10:59,080 --> 01:11:02,280
Speaker 1: got rid of endless burden, some bureaucracy, and now we're

1214
01:11:02,360 --> 01:11:05,000
Speaker 1: energy independent for the first time in seventy five years.

1215
01:11:05,400 --> 01:11:07,439
Speaker 1: How about the last night of the debates about well,

1216
01:11:07,479 --> 01:11:09,240
Speaker 1: we're gonna bring jobs back to America. I go, wait,

1217
01:11:09,240 --> 01:11:11,920
Speaker 1: a minute. We've created six million new jobs in two

1218
01:11:11,960 --> 01:11:14,080
Speaker 1: and a half years. That's a record that's never been

1219
01:11:14,160 --> 01:11:16,559
Speaker 1: done before. And you get someone saying that they're gonna

1220
01:11:16,600 --> 01:11:20,560
Speaker 1: do better, I mean with oppressive taxation policies and hyperregulation

1221
01:11:20,640 --> 01:11:22,439
Speaker 1: like guess our guys that ain't bring him back jobs.

1222
01:11:22,439 --> 01:11:24,240
Speaker 1: You got you know, the Corey Bookers of the world,

1223
01:11:24,280 --> 01:11:27,120
Speaker 1: you know, claiming, you know, well he got prison reform

1224
01:11:27,200 --> 01:11:29,559
Speaker 1: done it. No, No, Trump got prison reform. Core You're

1225
01:11:29,600 --> 01:11:31,639
Speaker 1: one of people who have voted on it. What were

1226
01:11:31,640 --> 01:11:33,320
Speaker 1: you doing for the last few years in office as

1227
01:11:33,320 --> 01:11:35,519
Speaker 1: it relates to these issues. You know, you talk about them,

1228
01:11:35,560 --> 01:11:37,280
Speaker 1: but there was no action. You don't think that, you know,

1229
01:11:37,360 --> 01:11:39,120
Speaker 1: you could have gotten Obama to maybe work on this

1230
01:11:39,200 --> 01:11:40,960
Speaker 1: and get something done. No Trump did it, and now

1231
01:11:41,000 --> 01:11:43,120
Speaker 1: you try to claim it. You know, there's there's a

1232
01:11:43,200 --> 01:11:45,800
Speaker 1: lot of irony, you know, in all of what the

1233
01:11:45,840 --> 01:11:49,120
Speaker 1: other side does. But again, despite our record of success,

1234
01:11:49,200 --> 01:11:52,599
Speaker 1: despite the unprecedented numbers, you still get ninety five percent

1235
01:11:52,640 --> 01:11:56,639
Speaker 1: negative coverage because everyone in the media believes the other

1236
01:11:56,760 --> 01:12:01,200
Speaker 1: side they're inherently left this. They believe that itogy. You

1237
01:12:01,280 --> 01:12:03,360
Speaker 1: see the people who even come off a little bit

1238
01:12:03,520 --> 01:12:05,960
Speaker 1: moderate in the debates last night, and in this sort

1239
01:12:05,960 --> 01:12:08,559
Speaker 1: of the post up in the spin rooms, you see

1240
01:12:08,600 --> 01:12:11,240
Speaker 1: these guys, the moderators are going after them. I mean,

1241
01:12:11,240 --> 01:12:13,800
Speaker 1: they're giving them leading questions throughout the whole thing because

1242
01:12:13,800 --> 01:12:16,479
Speaker 1: they haven't answered that they want and it may not

1243
01:12:16,680 --> 01:12:19,560
Speaker 1: necessarily jive with what someone else wants up there, and

1244
01:12:19,840 --> 01:12:22,080
Speaker 1: they're trying to get to it. It's pretty sad and

1245
01:12:22,120 --> 01:12:24,439
Speaker 1: it's pretty pathetic. I mean, I thought the most telling

1246
01:12:24,520 --> 01:12:26,200
Speaker 1: thing though, from last night was watching when they had

1247
01:12:26,240 --> 01:12:28,600
Speaker 1: a little bit of the technical difficulties. You see the

1248
01:12:28,680 --> 01:12:31,120
Speaker 1: look of shock on everyone's face, but they didn't even

1249
01:12:31,120 --> 01:12:33,320
Speaker 1: know how to handle. I mean, imagine that person in

1250
01:12:33,439 --> 01:12:35,559
Speaker 1: like the situation room when something real is going down.

1251
01:12:35,840 --> 01:12:38,679
Speaker 1: I'm looking at Elizabeth Warren. She's on a different planet.

1252
01:12:38,760 --> 01:12:42,160
Speaker 1: She's looking almost scared because there was a little, you know,

1253
01:12:42,360 --> 01:12:44,960
Speaker 1: sound glitch. I mean, these are not people I want

1254
01:12:45,040 --> 01:12:47,720
Speaker 1: making real decisions for me, certainly not under pressure. It

1255
01:12:47,840 --> 01:12:52,599
Speaker 1: was that was the most telling thing of all. An

1256
01:12:52,720 --> 01:12:55,880
Speaker 1: NBC News analysis declared Donald Trump the winner of the

1257
01:12:55,960 --> 01:12:59,120
Speaker 1: first Democratic debate last night. Let me ask you this,

1258
01:12:59,360 --> 01:13:02,880
Speaker 1: because I saw no personality. You saw nothing new other

1259
01:13:02,920 --> 01:13:04,960
Speaker 1: than they're gonna give everything away and they're gonna figure

1260
01:13:04,960 --> 01:13:06,840
Speaker 1: out how to magically pay for it later. You know,

1261
01:13:06,920 --> 01:13:10,720
Speaker 1: this is the same same lil promises. You can't do

1262
01:13:10,800 --> 01:13:13,360
Speaker 1: all these things. You know, Hey, you gotta do something.

1263
01:13:13,560 --> 01:13:15,320
Speaker 1: You know about college knows well, what about the people

1264
01:13:15,360 --> 01:13:17,800
Speaker 1: who worked for twenty years, you know, paid off their

1265
01:13:17,880 --> 01:13:20,840
Speaker 1: loans last month? Do they get reparations too? Since everyone

1266
01:13:20,840 --> 01:13:24,400
Speaker 1: else is getting them? You know, it never ends. And

1267
01:13:24,880 --> 01:13:27,600
Speaker 1: you know, I think that the American people saw just

1268
01:13:27,800 --> 01:13:29,760
Speaker 1: last night. You know, there are no new ideas, there

1269
01:13:29,760 --> 01:13:32,240
Speaker 1: are no fresh ideas. There's more promises that they're not

1270
01:13:32,320 --> 01:13:34,360
Speaker 1: going to be able to deliver on. But that's the

1271
01:13:34,479 --> 01:13:36,559
Speaker 1: nature of the Left. It's a party of dependence. They

1272
01:13:36,640 --> 01:13:38,679
Speaker 1: need you to be dependence because if you're not dependent

1273
01:13:38,720 --> 01:13:40,360
Speaker 1: on them, you bring nothing else to the table. So

1274
01:13:40,920 --> 01:13:43,479
Speaker 1: it's pretty scary. Let me ask you, because every time

1275
01:13:43,560 --> 01:13:45,200
Speaker 1: now that I hear you and you're out on the

1276
01:13:45,360 --> 01:13:48,120
Speaker 1: stump a lot, don't you go around the country on

1277
01:13:48,320 --> 01:13:51,800
Speaker 1: behalf of your father other candidates all for twenty twenty

1278
01:13:51,800 --> 01:13:53,760
Speaker 1: you're pretty much this is now pretty much your full

1279
01:13:53,840 --> 01:13:57,360
Speaker 1: time gig. I mean, are you making a transition into

1280
01:13:57,400 --> 01:14:00,800
Speaker 1: the political world yourself? Now? Listen, my only objective is

1281
01:14:00,840 --> 01:14:02,600
Speaker 1: to make sure he's elected. I'm you know, I'm a

1282
01:14:02,680 --> 01:14:05,960
Speaker 1: patriotic American on the five young kids. So you know,

1283
01:14:06,000 --> 01:14:07,760
Speaker 1: we've lost a little bit of the bandwidth in terms

1284
01:14:07,760 --> 01:14:09,439
Speaker 1: of what we're able to do because of all the

1285
01:14:09,520 --> 01:14:12,200
Speaker 1: restrictions and with the media scrutiny. When that's fine. So

1286
01:14:12,360 --> 01:14:13,880
Speaker 1: the only thing I want to allow myself to do

1287
01:14:14,040 --> 01:14:15,800
Speaker 1: is be bored Sehn. So I'll be out there. I'll

1288
01:14:15,800 --> 01:14:18,280
Speaker 1: be fighting for him and supporting other candidates who believe

1289
01:14:18,400 --> 01:14:20,320
Speaker 1: the same thing. And I've been able to create a

1290
01:14:20,360 --> 01:14:21,960
Speaker 1: little bit of a name for myself, I guess in

1291
01:14:22,040 --> 01:14:24,800
Speaker 1: politics outside of the administration, as I said I would,

1292
01:14:24,840 --> 01:14:26,760
Speaker 1: And you know, we're having a good time doing what's

1293
01:14:26,840 --> 01:14:28,200
Speaker 1: right for this country and for the future of our

1294
01:14:28,280 --> 01:14:30,639
Speaker 1: kids and Green kids. All right, where do you see

1295
01:14:30,640 --> 01:14:33,680
Speaker 1: because I look at this field of Democratic candidates and

1296
01:14:34,000 --> 01:14:37,120
Speaker 1: I see that they're all adopting some version of the

1297
01:14:37,479 --> 01:14:40,960
Speaker 1: New Green Deal, and I you know, you could just

1298
01:14:41,040 --> 01:14:44,240
Speaker 1: look at one little portion Obamacare failed. We were discussing

1299
01:14:44,320 --> 01:14:46,479
Speaker 1: this in the last half hour. Nobody kept their doctor,

1300
01:14:46,600 --> 01:14:50,080
Speaker 1: millions lost them, millions lost their plans, and everybody paid

1301
01:14:50,120 --> 01:14:53,200
Speaker 1: a lot more. And I know I'm talking about abolishing

1302
01:14:53,240 --> 01:14:55,720
Speaker 1: private healthcare. And you know last night, I mean, this

1303
01:14:55,840 --> 01:14:57,559
Speaker 1: is scary stuff. They got new plans, they got an

1304
01:14:57,560 --> 01:14:58,760
Speaker 1: all the service, they got no way to pay for it.

1305
01:14:58,840 --> 01:15:00,160
Speaker 1: But the Green New Deal is the worst of a

1306
01:15:00,240 --> 01:15:04,679
Speaker 1: mall shown. Ninety three trillion dollars. Okay, that makes everything

1307
01:15:04,720 --> 01:15:07,880
Speaker 1: else we've ever done in our history seem like a

1308
01:15:08,080 --> 01:15:11,760
Speaker 1: minor rounding error. In ninety three trillion dollars. The US

1309
01:15:11,840 --> 01:15:14,479
Speaker 1: government takes in six trillion a year in revenue. Okay,

1310
01:15:14,560 --> 01:15:16,599
Speaker 1: that's before it spends any money. So if the US

1311
01:15:16,680 --> 01:15:19,960
Speaker 1: government spent nothing on anything else other than preventing the

1312
01:15:20,000 --> 01:15:23,240
Speaker 1: farting of cows and maybe creating some sort of way

1313
01:15:23,320 --> 01:15:26,439
Speaker 1: to magically send people to the y without losing using

1314
01:15:26,479 --> 01:15:29,200
Speaker 1: airplanes in fifteen years, it would pay for itself. And

1315
01:15:29,280 --> 01:15:31,200
Speaker 1: they just they throw this all right, hang on, it's

1316
01:15:31,200 --> 01:15:33,240
Speaker 1: gonna pay for itself. I got to take a break.

1317
01:15:33,280 --> 01:15:36,479
Speaker 1: Hang on, we'll come back more with Don Junior as

1318
01:15:36,600 --> 01:15:41,400
Speaker 1: we continue. All right, as we continue, Donald Trump Junior

1319
01:15:41,600 --> 01:15:43,479
Speaker 1: is our guest. We'll get to your calls in the

1320
01:15:43,640 --> 01:15:47,720
Speaker 1: next half hour. Look at everything that's happened to you. Well,

1321
01:15:47,800 --> 01:15:50,120
Speaker 1: you know how many times you've by the way, why

1322
01:15:50,160 --> 01:15:52,479
Speaker 1: did you go back and testify. I'm thinking that's that's

1323
01:15:52,840 --> 01:15:55,240
Speaker 1: I'm not being critical. I know you want to cooperate.

1324
01:15:55,320 --> 01:15:59,360
Speaker 1: Your father cooperated. He never once invoked executive privilege. I

1325
01:15:59,439 --> 01:16:02,840
Speaker 1: can't believe Evie let Don McGann. They let Domigan talk

1326
01:16:02,920 --> 01:16:07,400
Speaker 1: to Muller for for thirty hours. Everybody's encouraged to speak

1327
01:16:07,479 --> 01:16:11,599
Speaker 1: to Congress, speak to the Special Council. One hundred one

1328
01:16:11,680 --> 01:16:14,680
Speaker 1: point five million documents. Should Dad answers questions on it's

1329
01:16:14,680 --> 01:16:18,759
Speaker 1: a witch hunt. Muller never even touches the dirty Russian dossier,

1330
01:16:18,920 --> 01:16:23,360
Speaker 1: which is unconscionable to me. And yet and they, you know,

1331
01:16:23,600 --> 01:16:26,920
Speaker 1: oh miss Lewandowski four times to Hope Picks, who's already

1332
01:16:26,960 --> 01:16:29,160
Speaker 1: paid a fortune and attorneys. You've got to be kidding me.

1333
01:16:29,680 --> 01:16:32,479
Speaker 1: I don't think anybody should answer these idiots questions. Four

1334
01:16:32,640 --> 01:16:36,320
Speaker 1: times now there's been a conclusion of no collusion. Well,

1335
01:16:36,520 --> 01:16:39,160
Speaker 1: I went back because it's different from me, Shawn, you know,

1336
01:16:39,600 --> 01:16:41,720
Speaker 1: I'm done, Nold Trump Junior, I'm not Joe Smith. If

1337
01:16:41,720 --> 01:16:44,960
Speaker 1: i'm if I'm Joe Smith, I listened to intelligent people

1338
01:16:45,040 --> 01:16:46,840
Speaker 1: like Lindsey Grant was saying, you're out of your mind

1339
01:16:46,880 --> 01:16:49,080
Speaker 1: going back in there. You've done twenty five whatever, thirty

1340
01:16:49,120 --> 01:16:51,920
Speaker 1: hours of testimony before this, I agreed with him here

1341
01:16:52,200 --> 01:16:55,840
Speaker 1: the report, I agreed with him. Why it's only a

1342
01:16:55,920 --> 01:16:58,760
Speaker 1: perjury trap. Let me explain. So, first of all, it's

1343
01:16:58,800 --> 01:17:01,160
Speaker 1: only a perjury trap, so you know, but the Dems

1344
01:17:01,160 --> 01:17:02,600
Speaker 1: are hopeful. So I got to go in there and

1345
01:17:02,720 --> 01:17:06,120
Speaker 1: remember everything I've said for you know, thirty hours of

1346
01:17:06,240 --> 01:17:09,240
Speaker 1: testimony two years prior about some thing that was at

1347
01:17:09,280 --> 01:17:11,920
Speaker 1: the time totally insignificant, two years even prior to that.

1348
01:17:12,960 --> 01:17:15,720
Speaker 1: Um and you know, it's not so easy. But the

1349
01:17:15,840 --> 01:17:18,720
Speaker 1: problem is if I go in and I don't go

1350
01:17:18,840 --> 01:17:20,200
Speaker 1: in and I do that, they say, oh, you bled

1351
01:17:20,240 --> 01:17:23,360
Speaker 1: the bit, You're guilty. Oh yo, you must be guilty. Uh,

1352
01:17:23,560 --> 01:17:25,040
Speaker 1: you know that's the way of the media. How many

1353
01:17:25,120 --> 01:17:27,320
Speaker 1: times had you been in there already? Though I gotta

1354
01:17:27,360 --> 01:17:29,280
Speaker 1: get to a break, But how many times did you

1355
01:17:29,320 --> 01:17:32,559
Speaker 1: go prior to that? Three other times? Press? So I've

1356
01:17:32,600 --> 01:17:36,559
Speaker 1: I've spoken those of the you know, four congressional hearings

1357
01:17:36,640 --> 01:17:39,599
Speaker 1: total of about thirty hours. And again the Mullah reports

1358
01:17:39,640 --> 01:17:43,760
Speaker 1: cites my congressional testimony, it cites my Senate testimony, it

1359
01:17:43,920 --> 01:17:46,920
Speaker 1: cites my stupid Twitter feed. I mean, you know, it

1360
01:17:47,040 --> 01:17:51,400
Speaker 1: trusts me. If the nineteen leftist Hillary supporting lawyers that

1361
01:17:51,520 --> 01:17:53,439
Speaker 1: Bob ball are brought in there. It's amazing he couldn't

1362
01:17:53,439 --> 01:17:55,640
Speaker 1: find a single conservative part to believe he must not

1363
01:17:55,760 --> 01:17:58,519
Speaker 1: be biased, right all right, Donald Trump Junior, you know

1364
01:17:58,600 --> 01:18:00,840
Speaker 1: you're very shy. Can you please next time if we're

1365
01:18:00,840 --> 01:18:03,120
Speaker 1: gonna have you on the program, you gotta you gotta

1366
01:18:03,160 --> 01:18:06,040
Speaker 1: speak a little more. You gotta, you gotta you know,

1367
01:18:06,160 --> 01:18:08,000
Speaker 1: you gotta put a little more energy in through it.

1368
01:18:08,840 --> 01:18:11,160
Speaker 1: I gotta run, all right, Donald Trump Junior, thank you

1369
01:18:11,240 --> 01:18:13,840
Speaker 1: when we come back, wide open phones, quick break, right back,

1370
01:18:14,200 --> 01:18:17,599
Speaker 1: a great Hannity nine Eastern tonight. But we'll continue straight ahead,

1371
01:18:17,800 --> 01:18:19,400
Speaker 1: all right, twenty five to the top of the hour.

1372
01:18:19,439 --> 01:18:23,679
Speaker 1: All Right, it's my Friday, and that means I'm sorry,

1373
01:18:23,960 --> 01:18:26,680
Speaker 1: but you know, heading into fourth of July week, I

1374
01:18:26,680 --> 01:18:29,439
Speaker 1: gotta take a little break, recharge the batteries, get fresh

1375
01:18:29,479 --> 01:18:33,240
Speaker 1: and ready for the battle that is ensuing. That means

1376
01:18:33,320 --> 01:18:38,479
Speaker 1: it's time for our Thursday edition Friday Concert series Zach

1377
01:18:38,560 --> 01:18:42,640
Speaker 1: Brown Band, Charlie Daniel's Band, and Big and Rich to

1378
01:18:42,760 --> 01:18:45,040
Speaker 1: get your party light on and get ready for the

1379
01:18:45,120 --> 01:18:47,720
Speaker 1: fourth of July. Let's hit it and a little bit

1380
01:18:53,760 --> 01:19:01,960
Speaker 1: just right and the radio see the love and my

1381
01:19:02,080 --> 01:19:06,880
Speaker 1: woman's eye to some a precious child and do a

1382
01:19:07,080 --> 01:19:13,040
Speaker 1: mother's love. It's funny how it's a little things in

1383
01:19:13,200 --> 01:19:18,240
Speaker 1: life that me. I got some good friends that moved

1384
01:19:18,400 --> 01:19:23,840
Speaker 1: down the street, got a girl and mama her armtwn

1385
01:19:24,080 --> 01:19:28,160
Speaker 1: he give in a small town and it is like

1386
01:19:29,280 --> 01:19:42,080
Speaker 1: I got it of it, Ben, And I guess you

1387
01:19:42,280 --> 01:19:45,280
Speaker 1: didn't know it. But I'm a fiddle player too. And

1388
01:19:45,400 --> 01:19:47,439
Speaker 1: if you care to take a dare, I'll make a

1389
01:19:47,520 --> 01:19:50,400
Speaker 1: bet with you. Now you've played pretty good fiddle boy,

1390
01:19:50,479 --> 01:19:52,759
Speaker 1: but give the devil as due. I bet a fiddle

1391
01:19:52,800 --> 01:19:54,920
Speaker 1: of gold against your soul because I think I'm better

1392
01:19:54,960 --> 01:19:57,760
Speaker 1: to you the boys that my name's Johnny. And it

1393
01:19:57,960 --> 01:20:00,400
Speaker 1: might be a sin, but I'll take your Ben. You're

1394
01:20:00,439 --> 01:20:03,320
Speaker 1: gonna regret because I'm the best has ever been. John

1395
01:20:03,400 --> 01:20:06,679
Speaker 1: Here rising up your bowl and playing middle hard because

1396
01:20:06,760 --> 01:20:10,559
Speaker 1: health broke loosing Joan the devil musing cards. And if

1397
01:20:10,640 --> 01:20:13,519
Speaker 1: you and you get this sighted middle let of gold,

1398
01:20:13,960 --> 01:20:25,040
Speaker 1: but if you lose, the devil gets your soul. The

1399
01:20:25,120 --> 01:20:27,599
Speaker 1: devil opened up his case and he said, I'll start

1400
01:20:27,680 --> 01:20:30,439
Speaker 1: this show. And fire flew from his fingertips as he

1401
01:20:30,600 --> 01:20:33,280
Speaker 1: rossing up his boat, and he pulled the bowl across

1402
01:20:33,320 --> 01:20:35,760
Speaker 1: the strings and it made an evil hiss. Then a

1403
01:20:35,840 --> 01:20:38,479
Speaker 1: band of demons joined in. It had sounded something like this.

1404
01:21:15,560 --> 01:21:18,160
Speaker 1: When the devil finished, Johnny said, well, you're pretty good,

1405
01:21:18,200 --> 01:21:20,760
Speaker 1: old son. But sitting down in that chair right there,

1406
01:21:20,760 --> 01:21:23,320
Speaker 1: and let me show you how it's done. Found the

1407
01:21:23,360 --> 01:21:27,360
Speaker 1: Mountain roun board from the devils, in the House of

1408
01:21:27,439 --> 01:21:31,599
Speaker 1: the Rising Sun Chicken in the red bad, big out

1409
01:21:33,880 --> 01:21:42,680
Speaker 1: red is it. Don't like no town, no well, will

1410
01:21:42,880 --> 01:21:48,439
Speaker 1: come out to y'all st want to play? I can't

1411
01:21:48,520 --> 01:21:54,759
Speaker 1: come and see your country. Song will be high little tail,

1412
01:21:56,960 --> 01:21:59,280
Speaker 1: and if you want a little banging again, you ain't

1413
01:21:59,280 --> 01:22:04,439
Speaker 1: come along on will We move through Cincinnati and we

1414
01:22:04,680 --> 01:22:08,280
Speaker 1: all got really happy, wrapped the bowl of that Skyline

1415
01:22:08,400 --> 01:22:12,960
Speaker 1: chili along the way. Then we rolled on in the

1416
01:22:13,120 --> 01:22:16,479
Speaker 1: camp and stared the hell out of Maryland manson down.

1417
01:22:16,600 --> 01:22:22,080
Speaker 1: The party started happening day and in the middle of

1418
01:22:22,160 --> 01:22:26,200
Speaker 1: a Charleston night we ran into Jessica White and a

1419
01:22:26,280 --> 01:22:31,559
Speaker 1: little mood Shine, got a ride Blumsknikins, and we'll come

1420
01:22:31,640 --> 01:22:38,840
Speaker 1: in to your city, saying you will come to song

1421
01:22:40,160 --> 01:22:46,200
Speaker 1: willow fly high line up and if you want a

1422
01:22:46,240 --> 01:22:51,320
Speaker 1: little banging you ain't ain't come along. Will We broke

1423
01:22:51,439 --> 01:22:55,000
Speaker 1: down in Greenville in the middle of a hate field,

1424
01:22:55,040 --> 01:22:58,280
Speaker 1: but butter Light truck food up and helped us out.

1425
01:22:59,479 --> 01:23:03,040
Speaker 1: So he did hit it up. The billy parted down

1426
01:23:03,200 --> 01:23:07,000
Speaker 1: like real hill billy's brought the music mafia up and

1427
01:23:07,240 --> 01:23:13,880
Speaker 1: rocked it out where we go when we're up and buffalow.

1428
01:23:14,400 --> 01:23:20,160
Speaker 1: Don't you know those Yankees drinking enough where I'm coming

1429
01:23:21,640 --> 01:23:26,320
Speaker 1: to your city? Don't play our gunitars and sang you

1430
01:23:26,439 --> 01:23:34,599
Speaker 1: a conscious song well being flying And if you want

1431
01:23:34,640 --> 01:23:38,000
Speaker 1: a little banging and yen y ain't come along, come along.

1432
01:23:44,280 --> 01:23:46,599
Speaker 1: Even Linda's rocking in there a little bit. I mean,

1433
01:23:46,680 --> 01:23:49,000
Speaker 1: even Linda, by the way, you had a tough day today.

1434
01:23:49,200 --> 01:23:51,000
Speaker 1: We never have a tough dame you No, no, You've

1435
01:23:51,040 --> 01:23:54,800
Speaker 1: had a tough day. Ethan and Jason and Kylie, everybody, Katie,

1436
01:23:54,880 --> 01:23:59,080
Speaker 1: they can all good morn well, sweet baby agrees, and

1437
01:23:59,160 --> 01:24:03,080
Speaker 1: but Blaea first of all, everybody, all right, So let's

1438
01:24:03,080 --> 01:24:06,439
Speaker 1: tell everybody what happened. So who was the first person

1439
01:24:06,520 --> 01:24:09,320
Speaker 1: to bring up the story about our you know this

1440
01:24:09,800 --> 01:24:13,320
Speaker 1: twenty twenty event. Well, I had a meeting earlier and

1441
01:24:13,439 --> 01:24:15,800
Speaker 1: our good friend Major Dan happened to be in the

1442
01:24:15,880 --> 01:24:17,920
Speaker 1: area and popped up for a hot second. You and

1443
01:24:18,080 --> 01:24:21,160
Speaker 1: Major Dan, like, you know, tied at the hip. I

1444
01:24:21,280 --> 01:24:23,519
Speaker 1: love these veterans. What can I say? I love my veterans,

1445
01:24:23,560 --> 01:24:25,840
Speaker 1: but I think it's a great thing. Okay, So now

1446
01:24:26,400 --> 01:24:29,560
Speaker 1: any who about tournament to raise money. I don't know

1447
01:24:29,640 --> 01:24:31,720
Speaker 1: what's public and what's not. So I'm just gonna say

1448
01:24:31,920 --> 01:24:36,479
Speaker 1: we were talking about say it again, we were say

1449
01:24:36,520 --> 01:24:39,120
Speaker 1: these words. We were talking about golf. I don't know

1450
01:24:39,160 --> 01:24:41,880
Speaker 1: who talks like that, not me say it. No, I'm

1451
01:24:41,880 --> 01:24:44,720
Speaker 1: not saying that that, but you please do it. Can't

1452
01:24:44,760 --> 01:24:47,280
Speaker 1: talk like like all right, say we would talk say

1453
01:24:47,320 --> 01:24:52,719
Speaker 1: we were talking we were talking about about say it golf,

1454
01:24:56,360 --> 01:25:00,040
Speaker 1: we would talking about Wolf, We're talking about cool. I

1455
01:25:00,080 --> 01:25:05,519
Speaker 1: don't know everyone else about any who, so poor they

1456
01:25:05,560 --> 01:25:08,519
Speaker 1: don't know this. So Major Dan's gonna hear this. So

1457
01:25:08,680 --> 01:25:12,640
Speaker 1: what happened was, um he was talking about you know,

1458
01:25:13,680 --> 01:25:16,400
Speaker 1: they have this awesome company, Folds of Honor and Volition,

1459
01:25:16,760 --> 01:25:20,400
Speaker 1: which have partnered together, and Volition is just fantastic. That's

1460
01:25:20,439 --> 01:25:22,200
Speaker 1: my friend John Seppi. And by the way, you can

1461
01:25:22,320 --> 01:25:25,120
Speaker 1: get that stuff at Puma dot com. Yeah, Puma dot com.

1462
01:25:25,200 --> 01:25:27,560
Speaker 1: Volition is gonna have its own line they're doing fantastic

1463
01:25:27,640 --> 01:25:29,720
Speaker 1: and they just they give back to the veterans, are

1464
01:25:29,760 --> 01:25:33,000
Speaker 1: just awesome people. So, uh, We're sitting there in the room,

1465
01:25:33,040 --> 01:25:35,680
Speaker 1: we're talking this and that, and he starts mentioning, um,

1466
01:25:36,040 --> 01:25:38,800
Speaker 1: this guy Jack Nicholas, and I thought he was trying

1467
01:25:38,840 --> 01:25:41,040
Speaker 1: to say Jack Nicholson. And I was like, oh, Jack

1468
01:25:41,120 --> 01:25:45,720
Speaker 1: Nicholson plays cool, okay, and then Jack Nicholson, Yeah, yeah,

1469
01:25:45,760 --> 01:25:48,560
Speaker 1: exactly like that guy, the actor Jack Nichols. But he

1470
01:25:48,640 --> 01:25:51,439
Speaker 1: was saying Jack Nicholas. So he was saying Jack Nicholas.

1471
01:25:51,680 --> 01:25:53,240
Speaker 1: So AnyWho, I leave the meeting, I come back to

1472
01:25:53,320 --> 01:25:55,600
Speaker 1: the studio and everybody's in here and I asked the

1473
01:25:55,840 --> 01:25:58,160
Speaker 1: guys and gals. I said, guys, gals, you know this

1474
01:25:58,320 --> 01:26:02,720
Speaker 1: guy Jack Nicholas, Nicholas. I think he's in golf, and

1475
01:26:02,840 --> 01:26:05,080
Speaker 1: everybody just like fell over, and I was a wife,

1476
01:26:05,240 --> 01:26:10,479
Speaker 1: Yeah exactly. You've never heard of Jack Nicholas before, No,

1477
01:26:10,680 --> 01:26:14,559
Speaker 1: I have not. Listen, I'm just getting into the sports thing.

1478
01:26:14,600 --> 01:26:16,519
Speaker 1: I'm trying. What do you mean you just get First

1479
01:26:16,560 --> 01:26:20,080
Speaker 1: of all, First of all, you have a son. I

1480
01:26:20,280 --> 01:26:23,879
Speaker 1: know you. You're a three year old Liam like sports.

1481
01:26:24,240 --> 01:26:26,559
Speaker 1: You know what I will tell you. I took him

1482
01:26:26,560 --> 01:26:29,800
Speaker 1: to his first baseball game this past weekend. It was

1483
01:26:30,120 --> 01:26:33,160
Speaker 1: it was the Phillies and professional took him to a

1484
01:26:33,240 --> 01:26:36,519
Speaker 1: real game and it was always loved it. First of all,

1485
01:26:36,840 --> 01:26:39,360
Speaker 1: we didn't watch the game in the back of the

1486
01:26:39,520 --> 01:26:44,840
Speaker 1: new uh Citizens Bank Stadium. Yeah he's hitting balls. No, no, no, man.

1487
01:26:44,920 --> 01:26:47,519
Speaker 1: They got a whole section for kids. Yeah, they got

1488
01:26:47,560 --> 01:26:49,800
Speaker 1: all the toddlers, they got all kinds of cool things.

1489
01:26:50,320 --> 01:26:53,400
Speaker 1: It's unbelievable. It's awesome for the kids. He goes right

1490
01:26:53,439 --> 01:26:55,519
Speaker 1: out on the field, he gets a bat, he gets

1491
01:26:55,560 --> 01:26:57,880
Speaker 1: a ball. He was doing great. I mean it was.

1492
01:26:58,000 --> 01:26:59,880
Speaker 1: It was pretty amazing. He definitely doesn't get that from

1493
01:26:59,880 --> 01:27:02,280
Speaker 1: my side the family. I got a question. So you

1494
01:27:02,360 --> 01:27:05,120
Speaker 1: didn't go in and sit at your seats at all,

1495
01:27:05,640 --> 01:27:09,400
Speaker 1: that's correct for the whole game. I never saw the game.

1496
01:27:10,160 --> 01:27:13,400
Speaker 1: You didn't go one time to your seats, went to

1497
01:27:13,479 --> 01:27:17,840
Speaker 1: an amusement park, but not the game. So you play. Listen.

1498
01:27:17,880 --> 01:27:19,719
Speaker 1: I don't have a problem taking, you know, a little

1499
01:27:19,800 --> 01:27:22,480
Speaker 1: time out to let him play himself. But the ideas

1500
01:27:22,560 --> 01:27:25,240
Speaker 1: to go and watch the game and let him see

1501
01:27:25,280 --> 01:27:29,200
Speaker 1: how big the crowd is. And we did the hot dogs,

1502
01:27:29,320 --> 01:27:32,479
Speaker 1: We did the water dogs, Rita's water Ice hot dogs,

1503
01:27:32,680 --> 01:27:36,040
Speaker 1: a hot dog is good, fantastic. Did they do cheese

1504
01:27:36,040 --> 01:27:39,360
Speaker 1: steaks there too? They do cheese steaks. They do Philly pretzels,

1505
01:27:39,439 --> 01:27:44,040
Speaker 1: hogeese hogee. Nobody and nobody around the you know, nobody

1506
01:27:44,080 --> 01:27:48,560
Speaker 1: outside of the North Philly strong people. They know what

1507
01:27:48,600 --> 01:27:51,600
Speaker 1: I'm talking about. Can I just say something? What do

1508
01:27:51,680 --> 01:27:53,519
Speaker 1: you mean you didn't sit at the seats? And that

1509
01:27:53,680 --> 01:27:56,120
Speaker 1: first of all, Leam is three? Did you get him

1510
01:27:56,160 --> 01:27:59,519
Speaker 1: cracker jacks? Did you get him in a cotton candy? Yeah?

1511
01:27:59,560 --> 01:28:02,720
Speaker 1: I got him everything? Sang the song? All right, I

1512
01:28:02,800 --> 01:28:04,920
Speaker 1: made a mistake one. So I'm at the last time

1513
01:28:05,000 --> 01:28:07,920
Speaker 1: Marianna Rivera's pitching at Yankee Stadium the night they win

1514
01:28:08,000 --> 01:28:10,920
Speaker 1: the World Series. Right, it was my son's birthday and

1515
01:28:10,960 --> 01:28:13,600
Speaker 1: I'm there. That was the night that Governor Patterson got

1516
01:28:13,680 --> 01:28:17,639
Speaker 1: in trouble for taking free tickets. And remember Randy Levine,

1517
01:28:17,720 --> 01:28:19,680
Speaker 1: who has been a friend of mine for years, he

1518
01:28:19,760 --> 01:28:22,000
Speaker 1: used to work for Rudy. He hears me saying that

1519
01:28:22,040 --> 01:28:24,400
Speaker 1: I bought the tickets on StubHub. I'm not taking free

1520
01:28:24,400 --> 01:28:27,519
Speaker 1: tickets from anybody. I don't want free tickets. And so

1521
01:28:28,520 --> 01:28:31,800
Speaker 1: although some of our concert friends have insisted that we

1522
01:28:31,920 --> 01:28:33,680
Speaker 1: come see them and then they drag us in. But

1523
01:28:33,920 --> 01:28:36,920
Speaker 1: I don't like free stuff. I refuse to ever ask

1524
01:28:37,000 --> 01:28:40,320
Speaker 1: anybody for anything free. It just is obnoxious to me anyway.

1525
01:28:40,400 --> 01:28:42,280
Speaker 1: So yeah, I'm gonna like Randy. He goes, well, why

1526
01:28:42,280 --> 01:28:43,960
Speaker 1: didn't you just call me? He said, you just could

1527
01:28:44,000 --> 01:28:46,160
Speaker 1: have paid face value. And I said, Randy, I said,

1528
01:28:46,280 --> 01:28:49,360
Speaker 1: I'm not abusing our friendship that way. It's wrong. He goes, no, no, no,

1529
01:28:49,520 --> 01:28:51,200
Speaker 1: people do it all, every second of it, every day.

1530
01:28:51,200 --> 01:28:53,080
Speaker 1: And I'm like, no, no, no, I just that's not

1531
01:28:53,200 --> 01:28:55,320
Speaker 1: how I roll. And by the way, I did pity

1532
01:28:55,439 --> 01:28:58,000
Speaker 1: fortune for those tickets on stubbub. Where were they? Where

1533
01:28:58,040 --> 01:29:00,880
Speaker 1: did you sit? In the legends action? Now in the

1534
01:29:01,080 --> 01:29:03,280
Speaker 1: legend section? What you know? Because I don't go to

1535
01:29:03,360 --> 01:29:05,759
Speaker 1: many baseball games. Who has I don't have time for anything.

1536
01:29:06,200 --> 01:29:08,400
Speaker 1: I don't have time for GOLFO you play golf? Yeah,

1537
01:29:08,479 --> 01:29:10,320
Speaker 1: like three times a year. I tell you one thing

1538
01:29:10,320 --> 01:29:15,439
Speaker 1: I'm going to take up golf. Oh, remind me, remind

1539
01:29:15,479 --> 01:29:17,800
Speaker 1: me what state you're Remind me that's not something you

1540
01:29:17,880 --> 01:29:20,000
Speaker 1: want to do. Remind me what state you're going to

1541
01:29:20,040 --> 01:29:21,760
Speaker 1: be playing is? Can we post a video of that

1542
01:29:21,840 --> 01:29:24,400
Speaker 1: to happen? The clothes I'm gonna wear the clothes. The

1543
01:29:24,439 --> 01:29:26,320
Speaker 1: shoes not so much, but I like the clothes. Well,

1544
01:29:26,320 --> 01:29:28,080
Speaker 1: you have to wear the shoes. You need spikes when

1545
01:29:28,080 --> 01:29:29,880
Speaker 1: you're on the you're not allowed to curse. I don't

1546
01:29:29,920 --> 01:29:33,800
Speaker 1: know if Linda's aunty is a big spitting on the

1547
01:29:33,880 --> 01:29:38,320
Speaker 1: course spitting ye, hitting, you know, you're not allowed to

1548
01:29:38,479 --> 01:29:42,080
Speaker 1: hit people. You know. I don't know you in the

1549
01:29:42,160 --> 01:29:44,240
Speaker 1: country club, I don't know if it's gonna mix really well.

1550
01:29:44,280 --> 01:29:46,080
Speaker 1: Doesn't have to be a country club for me to

1551
01:29:46,120 --> 01:29:48,040
Speaker 1: play golf? Oh there are, there are. No, that's a

1552
01:29:48,080 --> 01:29:51,280
Speaker 1: good question. Like, for example, Bethpage Black, which is one

1553
01:29:51,280 --> 01:29:53,479
Speaker 1: of the best courses in the country, is a public course.

1554
01:29:53,520 --> 01:29:55,439
Speaker 1: Pebble Beach is a public course. No what, I'm going

1555
01:29:55,479 --> 01:29:57,160
Speaker 1: to make my own golf course. That's gonna be my

1556
01:29:57,280 --> 01:30:01,559
Speaker 1: next LLC. Okay, yeah, yeah. And where you're gonna get

1557
01:30:01,600 --> 01:30:04,320
Speaker 1: the millions of millions of millions to do that? I'm

1558
01:30:04,360 --> 01:30:06,280
Speaker 1: not sure. And we're gonna get the money to water

1559
01:30:06,439 --> 01:30:08,880
Speaker 1: the lawn. It's gonna be called Come as you are, Linda,

1560
01:30:08,920 --> 01:30:12,280
Speaker 1: golfs here. Linda, we'll call Linda golfs here. Come as

1561
01:30:12,320 --> 01:30:14,439
Speaker 1: you are. Curses, you want spit as you want, fight

1562
01:30:14,520 --> 01:30:17,880
Speaker 1: all over the Prince. Don't spit. Oh, you don't spit.

1563
01:30:18,120 --> 01:30:20,120
Speaker 1: Not denying anything else, but I don't spit. That's what

1564
01:30:20,160 --> 01:30:24,880
Speaker 1: we are violent, especially if it's well, you are violent.

1565
01:30:24,960 --> 01:30:26,559
Speaker 1: I mean, that's all there is. There's no other word

1566
01:30:26,640 --> 01:30:29,200
Speaker 1: to describe it. You know, when you start hitting into

1567
01:30:29,240 --> 01:30:33,280
Speaker 1: some people after you've had a couple of drinks, that's sweet.

1568
01:30:33,320 --> 01:30:36,120
Speaker 1: Babies laughing, Jason's laughing. To eat till you make me

1569
01:30:36,200 --> 01:30:37,840
Speaker 1: sound real good? On me here, I'll tell you what

1570
01:30:38,080 --> 01:30:39,760
Speaker 1: not trying to make you sound good. I'm just telling

1571
01:30:39,800 --> 01:30:41,600
Speaker 1: people the truth. You are not trying to make you

1572
01:30:41,720 --> 01:30:46,200
Speaker 1: sound good. Guess you're just far how's the matter with you?

1573
01:30:47,400 --> 01:30:50,240
Speaker 1: I actually used to be a halfway decent golfer, but

1574
01:30:50,360 --> 01:30:53,120
Speaker 1: then this guy came down an escalator and life changed

1575
01:30:53,280 --> 01:30:57,040
Speaker 1: rather dramatically. Yea, And our job is a little busier

1576
01:30:57,080 --> 01:31:00,080
Speaker 1: than it once was, but which I'm happy for. And

1577
01:31:00,200 --> 01:31:02,280
Speaker 1: the country's in a better position. But I'm in a

1578
01:31:02,360 --> 01:31:04,880
Speaker 1: fight every second of every And you know how I say.

1579
01:31:05,320 --> 01:31:07,760
Speaker 1: You know, the media lies every second, every minute, every

1580
01:31:07,800 --> 01:31:10,320
Speaker 1: hour of every single day that our lives are insane.

1581
01:31:10,360 --> 01:31:13,680
Speaker 1: Every second, every minute, every hour of every day. There's

1582
01:31:13,680 --> 01:31:15,960
Speaker 1: always something on the on the table all right, dealing

1583
01:31:16,000 --> 01:31:18,040
Speaker 1: with this crowd, dealing with this crowd, dealing with us,

1584
01:31:18,120 --> 01:31:21,479
Speaker 1: dealing with you know, big time. Hey, j Houston, Texas,

1585
01:31:21,560 --> 01:31:28,880
Speaker 1: what's going on, baby, big time? Scott Hanny. Hey, after

1586
01:31:29,040 --> 01:31:31,880
Speaker 1: watching the demands of the Democrat Party for the first

1587
01:31:31,960 --> 01:31:34,960
Speaker 1: half of last night, it was a joke to watch

1588
01:31:35,080 --> 01:31:39,479
Speaker 1: these videos and hey, it's called as well, who won

1589
01:31:39,560 --> 01:31:44,920
Speaker 1: the debate? Trump? We love everybody? Isn't that great? Isn't

1590
01:31:44,920 --> 01:31:48,360
Speaker 1: that great? And who pay for all the free stuff

1591
01:31:48,400 --> 01:31:53,280
Speaker 1: that they dish it out? You and me? And yeah, exactly,

1592
01:31:58,240 --> 01:32:00,640
Speaker 1: Well they come to Linda. I'm pretty she Linda, she

1593
01:32:00,760 --> 01:32:03,320
Speaker 1: can handle it, and I'm pretty sure I wouldn't want

1594
01:32:03,320 --> 01:32:05,280
Speaker 1: to hear the words come out of her mouth, which

1595
01:32:05,360 --> 01:32:07,439
Speaker 1: she could do with him. That's all right, I love

1596
01:32:07,520 --> 01:32:10,080
Speaker 1: you never need to worry big time, you know, And

1597
01:32:10,240 --> 01:32:13,720
Speaker 1: I know what I'm saying is true. And now that

1598
01:32:13,880 --> 01:32:15,880
Speaker 1: she's going to pick up what do you say it again?

1599
01:32:16,240 --> 01:32:19,479
Speaker 1: First you were it's golf. You were talking about golf.

1600
01:32:19,960 --> 01:32:25,719
Speaker 1: What does what does that mean? But I call it golf? Golf?

1601
01:32:26,040 --> 01:32:29,400
Speaker 1: What is golf? But you got to love the accident,

1602
01:32:29,560 --> 01:32:31,759
Speaker 1: by the way, and you gotta say that she's sitting

1603
01:32:31,800 --> 01:32:35,720
Speaker 1: for the interview at the Big Country Club. Uh, you

1604
01:32:35,800 --> 01:32:39,360
Speaker 1: know where everyone wears pink and orange. I'm so grateful

1605
01:32:39,400 --> 01:32:42,760
Speaker 1: were coming up on a break white pants. Linda, How

1606
01:32:42,760 --> 01:32:44,960
Speaker 1: are you doing? Because my name is Linda? How the

1607
01:32:45,200 --> 01:32:50,720
Speaker 1: are you? You know? God mighty break, break, break all right,

1608
01:32:50,840 --> 01:32:53,080
Speaker 1: big time. We love you man. That's gonna wrap things

1609
01:32:53,200 --> 01:32:55,960
Speaker 1: up with today a great Hannity Tonight ninet Eestern on

1610
01:32:56,000 --> 01:32:58,720
Speaker 1: the Fox News Channel. Yes, we will lay out just

1611
01:32:59,120 --> 01:33:02,400
Speaker 1: how in Sye the Democrats are. We've got all the

1612
01:33:02,560 --> 01:33:07,000
Speaker 1: video Ted Cruz our latest developments as it relates to

1613
01:33:07,120 --> 01:33:09,920
Speaker 1: the Deep State. Tom Fitton will join us Larry Elder,

1614
01:33:10,120 --> 01:33:14,200
Speaker 1: Dan Mongino, IF, Sean Spicer, Jason Shaivitt, Sarah greg and

1615
01:33:14,280 --> 01:33:17,759
Speaker 1: John Solomon. Nine Eastern Tonight Hannity Fox all the breaking

1616
01:33:17,840 --> 01:33:20,200
Speaker 1: news on the Deep State and much more in the

1617
01:33:20,280 --> 01:33:21,320
Speaker 1: Crazy Democrats