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Speaker 1: You are entering the freedom hunt. Hey everybody, we're gonna

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Speaker 1: hit a freestyle Friday coming up here in just a moment.

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Speaker 1: They have been telling us NonStop for twenty four hours,

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Speaker 1: no bias, no bias in the Inspector General Report. Here's

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Speaker 1: a problem. I've been reading through the support and all

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Speaker 1: I see is biased, bias and more biased. So what

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Speaker 1: is with this all out assault on the truth. How

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Speaker 1: is it they can get the analysis so wrong? Oh,

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Speaker 1: here's a hint. They are running scared and hoping to

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Speaker 1: move on past the subject. We'll talk about that and

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Speaker 1: everything else that we need to on today's news cycle.

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Speaker 1: Coming up. This is the Buck Sexton Show, where the

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Speaker 1: mission or mission is to decode what really matters with

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Speaker 1: actionable intelligence. Make no mistake American. Great, You're a great

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Speaker 1: American Again, The Buck Sexton Show begins. No, Welcome to

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Speaker 1: the Buck Sex and Show, everybody live from NYC on

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Speaker 1: this Friday. It's been all time in the Big Apple. Wow,

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Speaker 1: we have some things to discuss. You know, there were

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Speaker 1: all these leaks going on before the Inspector General Report

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Speaker 1: came out yesterday. They're saying no political bias, no political bias.

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Speaker 1: I'm saying this this is there's so much uniformity in

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Speaker 1: this response. It's almost like it's a strategy deployed to

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Speaker 1: get people to think about it a certain way so

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Speaker 1: that when they actually read the source document, they will

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Speaker 1: already have a conclusion in mind, trying to prejudice the

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Speaker 1: sense of any reader before they get a chance to

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Speaker 1: actually read it. Let's see, it's quite trouming to me.

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Speaker 1: And then you have just the general sense from folks.

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Speaker 1: There was one actually, uh I won't name her, she

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Speaker 1: does not deserve to be named on the show, but

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Speaker 1: a legal analyst at CNN who wrote effectively on Twitter, Um,

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Speaker 1: I'm already bored by the IG Report. The big story

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Speaker 1: is really the lawsuit by the Attorney General of the

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Speaker 1: State of New York against Trump's charity or something. I

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Speaker 1: mean that really, that really sums it up pretty well.

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Speaker 1: Over and over at CNN, uh, fake news Central. They

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Speaker 1: they have people that are that are really just gonna

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Speaker 1: take that stance. Yeah, this IG report nothing to see here.

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Speaker 1: There's so much to see here that I'm gonna have

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Speaker 1: to refrain from just doing like an hour a day

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Speaker 1: for the next two weeks on the IG Report. I've

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Speaker 1: been reading through it. I haven't finished it yet. I'm

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Speaker 1: gonna finish it this weekend. See, I'll tell you the truth.

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Speaker 1: I didn't get through all whatever. It's five pages, but

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Speaker 1: I have been reading and reading and reading when I can,

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Speaker 1: uh and and picking up more and more excerpts of it.

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Speaker 1: And the more you spend, the more time you spend

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Speaker 1: reading the Inspector General report, the more dysfunctional politicisize east

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Speaker 1: and disgraceful. Do you find much of the conduct that

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Speaker 1: was going on at the at the FBI with this cabal?

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Speaker 1: Remember it's the cabal. There's a rotten layer of management

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Speaker 1: of senior personnel. It's not you know, folks who are

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Speaker 1: listening the FBI field office and you know Dallas, l A, Chicago, Charlottesville, wherever.

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Speaker 1: I don't know. I think I don't know where they

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Speaker 1: even have all the field office. This point is not

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Speaker 1: about you. It's not not about the folks whore out

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Speaker 1: there doing the work day in and day out. This

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Speaker 1: is about the DC leadership of the FBI and the

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Speaker 1: Department of Justice under the Obama administration and holding them

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Speaker 1: to account for their actions. And the dishonesty from the

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Speaker 1: media about this is just appalling. It's appalling. They have

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Speaker 1: been running around with hair on fire, telling these crazy

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Speaker 1: fables about Russia collusion and and just breathlessly reporting on

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Speaker 1: every aspect of the Mueller probe. You know, if Mueller's

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Speaker 1: team decides to go out and buy additional copy paper

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Speaker 1: or something, it's, oh my gosh, Mueller's team on the move.

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Speaker 1: And then we get this report and it shows people

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Speaker 1: who are in senior roles in the investigation of Hillary's email,

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Speaker 1: who are unhinged in their hatred for Trump, unhinged, and

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Speaker 1: we're supposed to just move past it. A lot of

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Speaker 1: stuff like this. I expected a sledge hammer. We just

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Speaker 1: got the same kind of hammer you used to nail

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Speaker 1: in a painting on the wall. I was surprised at

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Speaker 1: how mild it was. If you look at this assault

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Speaker 1: on the FBI that has taken place over last year

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Speaker 1: and a half, that has been the you know, the

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Speaker 1: clarion call of some of the opposition saying that you know,

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Speaker 1: these are crooks, they're corrupt, they tried to throw an election.

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Speaker 1: This report does not say that. First and foremost, anyone

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Speaker 1: who is hoping to use this report to undermine the

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Speaker 1: Mueller probe or prove the existence of a deep state

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Speaker 1: conspiracy against President Trump will be sorely disappointed. I think

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Speaker 1: this an example where the system work provides no basis

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Speaker 1: for the GOP to challenge the legitimacy of the mother investigation.

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Speaker 1: It must continue unhindered. It's deeply disturbing that the Republicans

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Speaker 1: remain obsessed with undermining or intelligence and law enforcement agencies.

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Speaker 1: The decisions described in the report all helped Donald Trump

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Speaker 1: win the election. No political bias influenced the decision making

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Speaker 1: at either the FBI or the Department of Justice. All

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Speaker 1: of that analysis, all those statements are laughable and deeply,

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Speaker 1: deeply dishonest. The people saying it are either feeling compelled

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Speaker 1: for reasons of you know, their audience and trying to

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Speaker 1: keep their privileged purchase in the media to be untruthful,

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Speaker 1: or they're idiots. You read through this report and you

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Speaker 1: see time after time that bad conduct is cited, bad

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Speaker 1: judgment is cited. The idea that there's no bias. Bias

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Speaker 1: means a prejudice against a person or a thing, right,

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Speaker 1: that that is what that is what biases. When you

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Speaker 1: have people saying that they want to stop a president

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Speaker 1: from winning an election, who are government officials involved in

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Speaker 1: investigating his opponent. When you have people who are saying

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Speaker 1: that they cry and they're terrified, they know what's gonna happen,

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Speaker 1: that is bias. You know, crying because Trump won is

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Speaker 1: the definition of bias. So we are now at a

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Speaker 1: point where we are redefining words. You notice some of

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Speaker 1: the strong men set up there for those who are

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Speaker 1: This was in that SoundBite we played for those who

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Speaker 1: thought that this was going to say that the deep

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Speaker 1: state has destroyed America, Like it does not say that. Yeah, yeah, idiot,

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Speaker 1: we know it doesn't say that. No one says that.

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Speaker 1: It actually literally says that, But that's the impression you

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Speaker 1: get from the actual report. That's what you see. If

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Speaker 1: it's not a deep state to have senior government officials

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Speaker 1: who think that they can overthrow and undermine and the

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Speaker 1: will of the people in an election, well what is it?

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Speaker 1: And as as I I put this out on Twitter

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Speaker 1: two and then I saw some others following following suit.

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Speaker 1: Maybe the others set it before me too. I'm just

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Speaker 1: saying this is definitely out there now. Not a single

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Speaker 1: instance of bias they can point to in favor of

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Speaker 1: Trump that seems strange, doesn't it. Not one person who's

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Speaker 1: like Hillary is a garbage person who should not be

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Speaker 1: president and I'm gonna stop her from being president. Not

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Speaker 1: one I would offer to you that if they found

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Speaker 1: any of that, wouldn't they want to include that. Wouldn't

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Speaker 1: that be somewhat exculpatory for the obvious politicization of the

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Speaker 1: FBI that was ongoing during this whole thing? Right? If

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Speaker 1: you could show people keep saying people who want to

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Speaker 1: have opinions will out opinions. Okay, does everybody in the

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Speaker 1: FBI have these crazy opinions where they want to use

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Speaker 1: their position to try to influence the election? Show me

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Speaker 1: it on both sides. They can only show me it

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Speaker 1: on one side, and they they're there. I know there's

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Speaker 1: been referrals, and that's another part of the tooth saying, oh, well,

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Speaker 1: we don't know. Yeah, we don't know about the other

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Speaker 1: five FBI agents who have been referred. What the extent

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Speaker 1: was of their bad back actions and activity. How bad

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Speaker 1: was this problem identified in the report of FBI agents

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Speaker 1: taking gifts from members of the press for confidential information. Folks,

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Speaker 1: that's like spy tactics stuff, you know, giving people stuff

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Speaker 1: to get information they're not supposed to have. That is highly,

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Speaker 1: highly unethical for FBI agents. And by the way, if

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Speaker 1: it involves any classfied information, it's illegal. And I also

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Speaker 1: think it calls into question the ethics of journalists too.

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Speaker 1: You're gonna pay for classified now, that's if that we

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Speaker 1: we don't know if they paid for class but they're

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Speaker 1: gonna look into this. But if that happened, now you're

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Speaker 1: talking about stuff that feels more like a conspiracy in

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Speaker 1: a criminal sense right now. Now you're going beyond just

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Speaker 1: I'm trying to gather facts. You're you're gonna pay for

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Speaker 1: classified information. That's what like Russian spies used to do.

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Speaker 1: So it strikes me as we need to look at

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Speaker 1: this a lot closer than we have been, and we're

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Speaker 1: gonna have many more inswers. But I am I am

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Speaker 1: sitting around here. It's it's like it is like I'm

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Speaker 1: just in some alternate universe where people are going on.

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Speaker 1: You know that guy who said, you know, I thought

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Speaker 1: it'd be a sledge hammer, but it was it was

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Speaker 1: a little hammer for the whatever thumbtack? Are you kidding me?

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Speaker 1: It says that Comey was way out A line was insubordinate.

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Speaker 1: McCabe should have been fired. McCabe was you know McCabe's align.

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Speaker 1: I mean, all the things that we know now. And

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Speaker 1: then these text mess sage exchanges that show these FBI

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Speaker 1: agents just on on FBI devices were not even talking

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Speaker 1: about their private communications folks on their own devices. We're

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Speaker 1: talking about FBI devices. Anybody who says that an FBI

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Speaker 1: agent involved in the investigation of Hillary Clinton during the

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Speaker 1: campaign for her to be president in the United States,

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Speaker 1: that that FBI agent saying to somebody else, don't worry,

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Speaker 1: we'll stop it. That that is not a huge deal.

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Speaker 1: Is a more honor a liar, There is no third

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Speaker 1: option and there This is what I realized though. Now

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Speaker 1: they're just you know that they complain so much about

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Speaker 1: you know, a little exaggeration here or there from the president.

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Speaker 1: Oh he's lying. Oh he's so terrible. This is the

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Speaker 1: kind of line that matters. That this report doesn't show

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Speaker 1: any bias. I'm sitting here like it's just biased, one

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Speaker 1: instance of bias after another. Here's one thing from CNS

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Speaker 1: News that we picked up one of the four FBI

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Speaker 1: case agents working on the Hillary Clinton email investigation, who

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Speaker 1: was also one of the two FBI agents who interviewed

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Speaker 1: her at the conclusion of that investigation, triumphantly referred to

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Speaker 1: Clinton as the president four days after the interview, four

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Speaker 1: months before the election. Later on election Day, in an

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Speaker 1: instant message exchange with another FBI agent who had also

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Speaker 1: worked on Clinton FBI on the Clinton investigation, this FBI

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Speaker 1: adn't declared screw you Trump, the other agent said in

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Speaker 1: the same instant message exchange, you should know that I'm

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Speaker 1: with her, as in the Hillary phrase of the campaign. Olks,

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Speaker 1: this is way beyond what would be acceptable for any

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Speaker 1: government employee, never mind people who are worked who are

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Speaker 1: investigating these people. I look at this and I say,

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Speaker 1: how does anyone, How does anyone come to a conclusion

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Speaker 1: that this is not a huge deal. You've got FBI

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Speaker 1: agents writing viva raises stance or viv la raisi stance. Sorry,

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Speaker 1: kind of mixed Spanish and French there. But these people

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Speaker 1: are saying there was no bias at the FBI, no bias,

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Speaker 1: no evidence of bias. That's a talking point from a left.

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Speaker 1: That's a lie too. There's bias all over the place.

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Speaker 1: All they're saying is we they were not able to

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Speaker 1: uncover political bias that led to specific actions in violation

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Speaker 1: of FBI protocols and policy. That doesn't mean there's no bias, period.

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Speaker 1: There's bias all over the place. I sit here and

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Speaker 1: just it is appalling. It's appalling, it really is. And

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Speaker 1: you know, you look at this and that the disdain

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Speaker 1: that some of these FBI agents have for Frump voters. Um,

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Speaker 1: you know, but this always brings me to conservatives. People

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Speaker 1: on the right, we just we keep you know. And

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Speaker 1: I think it's because our religion is not our politics.

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Speaker 1: For the left, politics is is religion, and religionous politics.

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Speaker 1: It's that they they've that part of the mind and

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Speaker 1: and the soul that we we fill with uh a

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Speaker 1: spiritual connection to God or whatever, you know, Buddha, whatever

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Speaker 1: is you believe in. The left replaces that all with

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Speaker 1: with politics and the state. And that's just the way

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Speaker 1: their ideology works, that's the way that it goes. And

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Speaker 1: so they are unable to step back from these things

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Speaker 1: and say, you know what, they are more important things.

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Speaker 1: There's there's other things at stake here. I don't have

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Speaker 1: to change everything about myself to try to bring a

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Speaker 1: certain political outcome here, you know, I don't have to

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Speaker 1: throw away my career, throw away my integrity. That's what

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Speaker 1: we see going on here. Anyway. I want to hear

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Speaker 1: from all of you about this report. I'm I'm in

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Speaker 1: shock today at just how dishonest here we go. Breaking

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Speaker 1: news CNN Cohen signals openness to cooperate with Feds. They

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Speaker 1: just keep running that story. They've been running that story

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Speaker 1: every day this week. There's nothing, there's nothing new, it's

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Speaker 1: not breaking news. They just want to talk about Cohen. Oh,

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Speaker 1: he's gonna get prosecuted. He's gonna get prosecuted. Not a

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Speaker 1: lot of text message exchanges popping up on the screen

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Speaker 1: for CNN between these different FBI agents. They don't want

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Speaker 1: to focus on that. I don't want to focus on

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Speaker 1: the IG report, man, I am. It is a crazy

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Speaker 1: world we live in right now, with with the way

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Speaker 1: that this stuff is presented and what they're trying to hide.

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Speaker 1: I want to hear from all you what do you

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Speaker 1: think about the IG report. It's also Friday, so we

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Speaker 1: can talk about whatever you want. Eight four four to

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Speaker 1: eight to five buck freedom hunt from NYC, my friends

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Speaker 1: continues in just a few now. We have through the

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Speaker 1: looking glass here people, white is black and Black Is

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Speaker 1: White from the movie JFK courtesy of John Right there, Yeah,

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Speaker 1: we are through the looking glass right now. Nothing is

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Speaker 1: nothing is making sense. It's people just lying about everything. Uh.

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Speaker 1: Tree Goudy understands what's happening here though. Right now, just

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Speaker 1: what a dark day it is for the FBI and

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Speaker 1: the d o J to institutions our country desperately needs.

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Speaker 1: We desperately have to be able to have confidence in them,

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Speaker 1: and this level of bias and animous. Not only did

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Speaker 1: he want to stop the Trump campaign, he wanted to

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Speaker 1: stop the Trump presidency. Chris Ray, I'm sorry, you're wrong, Chris.

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Speaker 1: There are consequences. The consequences are that your fellow citizens

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Speaker 1: question whether or not they can't have confidence in the

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Speaker 1: world's premier law enforcement agency. And that's coming from somebody

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Speaker 1: who's defended him a lot throughout his career. This was

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Speaker 1: a bitterly disappointing report. There's a Tray Gaudy that I like,

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Speaker 1: Like it's like Tray, It's like Trays back all of

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Speaker 1: a sudden. It's like he wandered off for a little while.

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Speaker 1: You know, he was doing some experimental band, but now

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Speaker 1: he's back to playing the hits. You know right, that's

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Speaker 1: what that's the tride guy I like to see. I'm

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Speaker 1: I'm sitting here and I'm thinking to myself, so, now

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Speaker 1: are we really going to readefine? What the word bias

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Speaker 1: means is that where we are is biased. No longer

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Speaker 1: something that is an objective thing that is or is

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Speaker 1: not or or at least the definition of it has

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Speaker 1: it just disappeared no longer around you cannot read the

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Speaker 1: support and think that it had no bias. By the way,

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Speaker 1: I spoke to Rudy Giuliani this morning on Rising, my

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Speaker 1: new show, which is that a d C as you know,

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Speaker 1: Hill dot TV slash Rising. You want to check out

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Speaker 1: the clips of it. Um. But Giuliani's running around telling

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Speaker 1: everybody that that struck should be fired. I just want

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Speaker 1: to notice, does any even think that he shouldn't be fired?

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Speaker 1: We now have an investigation that, in the words of

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Speaker 1: President Donald Trump, has been a fixed, a frame up,

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Speaker 1: and a witch hunt. Every FBI agent should demand and

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Speaker 1: that that man be fired. And tomorrow Mueller should suspend

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Speaker 1: his investigation and he should go see Rod Rosenstein who

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Speaker 1: created him, and the Deputy Attorney General and Attorney General Sessions,

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Speaker 1: who who should now step up big time to save

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Speaker 1: his department. Should suspend that investigation, throw out all the

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Speaker 1: people that have been involved in the phony Trump investigation,

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Speaker 1: and bring in honest FBI agents, all those FBI agents

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Speaker 1: who took gifts. Gifts. That's called bribery where I come from.

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Speaker 1: You know, I actually said this to Julian earlier today.

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Speaker 1: When I was the NYPD, we were told you can't

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Speaker 1: even take you can't even take a free soda from

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Speaker 1: a business owner. You can't do eat nothing, You cannot

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Speaker 1: take gifts when you're on duty. They told us they

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Speaker 1: were very strict about it. In fact, we had to

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Speaker 1: find out if it was. We had to get an

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Speaker 1: ethics check on whether because where are office was, we

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Speaker 1: got like a ten percent just be based on where

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Speaker 1: the office was. It was kind of like for the neighborhood,

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Speaker 1: you get a tempercent discount. At this one, Jim, we

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Speaker 1: had to get an ethics check on whether even though

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Speaker 1: we just happened to be in the area that got

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Speaker 1: that qualified for the discount. We were allowed to take

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Speaker 1: the discount because it wasn't allowed to be an unfair

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Speaker 1: you know, building favoritism with the m y p D.

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Speaker 1: That's how seriously they take ethics. You've got FBI guys

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Speaker 1: with access to classified in d C taking like ball

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Speaker 1: game tickets. Folks, I don't think that this isn't that

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Speaker 1: this is gonna stop. People are gonna go to prison.

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Speaker 1: I'm telling you, I think people are actually gonna go

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Speaker 1: to jail over this one, and they probably should. I mean,

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Speaker 1: when we look at the facts, we'll see I've got

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Speaker 1: a lot of lines. Lebil, take some calls after the break,

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Speaker 1: eight four, eight to five, buck, light him up. We'll

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Speaker 1: be right back. He's back with you now, because when

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Speaker 1: it comes said of fight for truth, the fuck never stops.

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Speaker 1: They were plotting against my election. Probably has never happened

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Speaker 1: like that in terms of intelligence, in terms of anything else.

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Speaker 1: But they were actually plotting against my election. The headline

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Speaker 1: right now, I'm actually proud because I beat Clinton dynasty

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Speaker 1: and beat Bush dynasty, and now I guess hopefully I'm

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Speaker 1: in the process of beating very dishonest intelligence. The end

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Speaker 1: result was wrong. I mean, there was total bias. I mean,

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Speaker 1: when you look at Peter Struck and what he said

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Speaker 1: about me, when you look at Comola's moves, so I

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Speaker 1: guess you know it's interesting it was a pretty good report.

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Speaker 1: And then I say that the I g blew it

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Speaker 1: at the very end of that statement, I agree there

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Speaker 1: was biased. You can't show bias and then say there

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Speaker 1: was no bias. That then people really don't trust your analysis, right,

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Speaker 1: And they showed plenty of bias in the report, no,

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Speaker 1: no question about it, all over the place. But I want,

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Speaker 1: I want to hear from you on this uh And

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Speaker 1: we've got a lot the lines. Remember, as we take calls,

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Speaker 1: because I know producer Mike in there is like he's

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Speaker 1: like a human octopus trying to take all the different

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Speaker 1: numbers down and multiple phones going everything else. But as

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Speaker 1: we take calls, sponsible open up and we'll try to

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Speaker 1: just rack and stacks. It's a Friday, I'm in New York.

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Speaker 1: I'm in a good mood. I want to hear from you.

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Speaker 1: Let's take some calls. Let's go to Everyboddy Felix in Pennsylvania. Felix,

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Speaker 1: the tried and true caller. How are you, sir, I'm good,

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Speaker 1: buck shields tied shield time. I want I want to

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Speaker 1: make a comment. I believe that guys like General Michael Flynn,

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Speaker 1: and I believe Lieutenant Clint Law rants. We should we

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Speaker 1: should really list them as POWs of a deep state,

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Speaker 1: because what's been done in these situations is just incredible,

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Speaker 1: you know, by an unpatriotic deep state. And I really

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Speaker 1: would like to implore President Trump the police look at

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Speaker 1: the plight of some of our service members like Clint

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Speaker 1: law Rance, who in the course of their duty has

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Speaker 1: wind up being charged and prosecuted and put in prison

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Speaker 1: and unjustly, and in his particular case, the evidence is

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Speaker 1: there to exonerate him anyway. I look, I think that

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Speaker 1: this is why the prest Do we have audio him

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Speaker 1: saying that he's gonna he might pardon some people? But

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Speaker 1: oh no, we don't. He sorry, we've got a statement

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Speaker 1: of of Trump saying that he's thinking about I think

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Speaker 1: Giuliani said he might. That's right, it was Giuliani who

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Speaker 1: said Trump may pardon some of the folks that are

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Speaker 1: getting jammed up by this. I like it. I like it.

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Speaker 1: It's hey, if nothing else, I'm sorry, Can I come on,

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Speaker 1: Eric Trump? Uh? Was this other thing that they've been

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Speaker 1: putting out about the Trump Foundation? Anyone who was familiar

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Speaker 1: with Elvis Durran show. For years, Eric Trump has been

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Speaker 1: doing charity for St. Jude's, and I believe that of

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Speaker 1: the money went to St. Jude's, and he paid most

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Speaker 1: of the administrative costs out of his own pocket. You know.

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Speaker 1: So this other thing that they're trying to do to

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Speaker 1: the Trumps, it's just, uh, it makes my blood boil.

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Speaker 1: I haven't. I have an old friend who does a

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Speaker 1: lot of charity, really good charity work your New York City,

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Speaker 1: and she's told me that Eric has always been uh,

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Speaker 1: incredibly helpful in in that community by doing uh with

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Speaker 1: charitable foundations and and and it's also a really good guy.

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Speaker 1: I don't know Eric. I actually know Donny a little

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Speaker 1: bit from when we were kids. But yeah, I gotta

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Speaker 1: look into what they're saying about Erica. They're just trying

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Speaker 1: to trash everybody, though. It's it's such a shame. Felix though,

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Speaker 1: good to talk to you, and thank you very much

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Speaker 1: for calling in. We've got some of our stalwarts here

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Speaker 1: on the lines. Dr Rick in Maryland wants to drop

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Speaker 1: some some m D knowledge. What up? Rick? Well, Hey, Buckshield, tie,

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Speaker 1: you know, we need your voice, We need the voices

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Speaker 1: all the conservatives shouting loud, all the evidence in the

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Speaker 1: IG report that clearly shows bias because you know, I

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Speaker 1: I travel in some circles with some you know, really

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Speaker 1: kind of high powered i Q left leaning in allectuals,

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Speaker 1: and you know, I can't believe how utterly deluded they

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Speaker 1: are and and just believe that mainstream media and what

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Speaker 1: they're saying. So when I try to even talk about

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Speaker 1: what you and others are saying, they look as if

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Speaker 1: I am the moron. I swear, they look like I'm

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Speaker 1: coming from Mars. So we we just gotta keep repeating

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Speaker 1: the message over and over, no, I know, and you

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Speaker 1: get you get shouted down, and people say really nasty things,

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Speaker 1: and you feel like you're taking even social risks just

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Speaker 1: by saying obvious, obvious things. You know. Look on on

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Speaker 1: my show Rising earlier today, I started out by talking

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Speaker 1: to Julia. I said, look, it seems like a lot

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Speaker 1: of bias to me, and I got some pushback from

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Speaker 1: some people watching saying but there was no bias, and

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Speaker 1: I'm like, no, no, no no, no, no, no, I don't

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Speaker 1: that is an analytic judgment. There there is bias that

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Speaker 1: has shown in the report in their analysis. They just

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Speaker 1: say that they don't think it is biased, But that's

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Speaker 1: not how that works, Like, I don't have to you.

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Speaker 1: You can't present me with evidence and say, but it

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Speaker 1: doesn't actually mean that the evidence is what it says,

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Speaker 1: which is what they did. And I've even heard that

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Speaker 1: the the the view that the ultimate conclusion was zoice

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Speaker 1: specific conclusion. Did we lose Dr Rick? Did he just

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Speaker 1: d did he go? Oh? Dr Rick? We lost? You know,

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Speaker 1: I've gotta send in reinforcements. Get Dr Rick. They got him.

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Speaker 1: The enemy got him, Dr Ricks send up a flair?

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Speaker 1: Are you okay? Buddy? Where are you man? Calling in

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Speaker 1: from deep behind progressive lines? Dude? You know he's in Maryland.

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Speaker 1: Maryland's crazy. God, it's blue. You know, it's just like

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Speaker 1: it's like New York with better crabs. That's it's politics, John.

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Speaker 1: That I meant the kind that she that crawl around

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Speaker 1: and that she eats. Just kidding, Oh gosh, get your

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Speaker 1: at your mind on right there, John, All right, let's

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Speaker 1: get Sandy in Troy, Michigan. Hey, what's up, Sandy? Hey

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Speaker 1: box still type and listening since day one? Oh thank

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Speaker 1: you so much? Now, hey, thank you? Um, you know

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Speaker 1: I believe just like call me that uh this I

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Speaker 1: g put that phrase in his I g report that

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00:25:28,280 --> 00:25:31,479
Speaker 1: there was no political bias, just so it could be

426
00:25:31,520 --> 00:25:36,680
Speaker 1: a headline and so that our got awful media could

427
00:25:36,760 --> 00:25:40,640
Speaker 1: run with that rather than the details. And I think

428
00:25:40,680 --> 00:25:43,399
Speaker 1: since day one, I mean since a year and a

429
00:25:43,440 --> 00:25:47,800
Speaker 1: half ago, everything has been so obvious what they do

430
00:25:47,960 --> 00:25:51,040
Speaker 1: on the left. I just and and I got some

431
00:25:51,160 --> 00:25:54,879
Speaker 1: Lefts in my family. UM so I don't repost to

432
00:25:54,960 --> 00:26:00,159
Speaker 1: that because you know, they're they're child in America end.

433
00:26:00,840 --> 00:26:04,119
Speaker 1: And I can't believe they're left because they're very Catholic.

434
00:26:05,560 --> 00:26:08,359
Speaker 1: I don't know. I don't know how somebody can be

435
00:26:08,400 --> 00:26:11,119
Speaker 1: a devout Catholic and be a progressive in this. I

436
00:26:11,160 --> 00:26:14,320
Speaker 1: don't understand. And I know that it happened. I don't understand,

437
00:26:15,040 --> 00:26:18,639
Speaker 1: I really, you know. I mean, you're you're with a

438
00:26:18,680 --> 00:26:22,199
Speaker 1: political party that is more united on the issue of

439
00:26:22,240 --> 00:26:24,800
Speaker 1: abortion on all nine months of a pregnancy up to

440
00:26:24,840 --> 00:26:27,560
Speaker 1: the moment of birth than any other issue. Like the

441
00:26:27,640 --> 00:26:31,399
Speaker 1: single most unifying issue of the Democrat Party is abortion

442
00:26:31,680 --> 00:26:34,680
Speaker 1: at any moment, for any reason, at any time, uh

443
00:26:34,680 --> 00:26:40,320
Speaker 1: and up to what is obviously infanticide. And yet Catholics

444
00:26:40,440 --> 00:26:42,600
Speaker 1: people think that they're Catholics in there. I don't know,

445
00:26:42,720 --> 00:26:45,480
Speaker 1: I don't get it, And I know throughout the campaign,

446
00:26:45,640 --> 00:26:49,760
Speaker 1: I was reposting and texting stuff to some of my

447
00:26:49,920 --> 00:26:55,800
Speaker 1: Kaeldean cousins, and I could not believe how they were

448
00:26:55,840 --> 00:27:00,200
Speaker 1: supportive of Hillary in so degrading of Trump, Like you're

449
00:27:00,359 --> 00:27:03,640
Speaker 1: just blinded on it site. Yeah, I know, it's it's

450
00:27:03,680 --> 00:27:05,280
Speaker 1: it's difficult, but you know what, you always get to

451
00:27:05,320 --> 00:27:06,920
Speaker 1: hang out with us here in the huts. You're you're

452
00:27:06,920 --> 00:27:10,439
Speaker 1: with friends, all right, Shield said, he thank you so

453
00:27:10,520 --> 00:27:15,080
Speaker 1: much for calling in Dave in Arizona. Yes, sir, good

454
00:27:15,080 --> 00:27:19,080
Speaker 1: to talk to you. Shields back feel tie. You know, Uh,

455
00:27:19,600 --> 00:27:21,480
Speaker 1: one of the things I always enjoy listening. He's getting

456
00:27:21,480 --> 00:27:23,960
Speaker 1: that perspective that you have from an insider view, and

457
00:27:24,000 --> 00:27:27,640
Speaker 1: I just want to give a law enforcement perspective as uh,

458
00:27:27,880 --> 00:27:31,280
Speaker 1: a state and local officer. Over my career, my wife

459
00:27:31,320 --> 00:27:34,200
Speaker 1: was twenty nine years city cop. We're trained all over

460
00:27:34,240 --> 00:27:35,879
Speaker 1: the country. And I gotta tell you what that that

461
00:27:36,080 --> 00:27:39,720
Speaker 1: that Inspector General's report, what a show since then, just bias.

462
00:27:39,720 --> 00:27:42,560
Speaker 1: So it shows the hubris of the FBI and the

463
00:27:42,600 --> 00:27:45,600
Speaker 1: same thing that Ray demonstrated in his little comments last night.

464
00:27:45,640 --> 00:27:48,200
Speaker 1: I'm glad you're you're pointing all this out because It's

465
00:27:48,280 --> 00:27:50,280
Speaker 1: very frustrating to those of us who have done the

466
00:27:50,359 --> 00:27:53,920
Speaker 1: job and have our scars, and they constantly here this,

467
00:27:53,920 --> 00:27:57,600
Speaker 1: this constant drumbeat about the quality of the FBI. The

468
00:27:57,720 --> 00:28:00,440
Speaker 1: FBI is quality in a narrow purview, but to make

469
00:28:00,480 --> 00:28:05,159
Speaker 1: them the nation's gold standard is wrong. Expand on that

470
00:28:05,200 --> 00:28:09,240
Speaker 1: a little bit, Dave, what do you mean? I'm curious,

471
00:28:09,600 --> 00:28:12,640
Speaker 1: you know what. I'm sorry, but no, you go ahead.

472
00:28:12,680 --> 00:28:15,480
Speaker 1: I want to hear from you, right, okay, Just my

473
00:28:15,560 --> 00:28:18,600
Speaker 1: perspective is this that you know over the decades. For instance,

474
00:28:18,640 --> 00:28:21,960
Speaker 1: I was at Waco as a reporting for a police

475
00:28:21,960 --> 00:28:24,320
Speaker 1: training network. Uh you know, I was with the A T.

476
00:28:24,480 --> 00:28:26,600
Speaker 1: F agents who are coming back from being shot up.

477
00:28:26,920 --> 00:28:29,639
Speaker 1: The FBI arrives, throws everyone off the scene, and then

478
00:28:29,640 --> 00:28:32,600
Speaker 1: the fifty days later burns up the compound and blames

479
00:28:32,640 --> 00:28:34,800
Speaker 1: everybody but themselves. That was that's supposed to be a

480
00:28:34,880 --> 00:28:38,040
Speaker 1: hostage rescue action. Where is the where's the rescue attempt?

481
00:28:38,360 --> 00:28:40,680
Speaker 1: Same thing in Ruby Ridge. They break all the laws

482
00:28:40,720 --> 00:28:43,880
Speaker 1: of confrontation and put a green light on all it.

483
00:28:43,960 --> 00:28:46,520
Speaker 1: Doults with a firearm and they go up there. And

484
00:28:46,560 --> 00:28:48,680
Speaker 1: this is the thing is they've they've they've always acted

485
00:28:48,680 --> 00:28:51,360
Speaker 1: with the shoe brists, and they get no feedback. Law

486
00:28:51,440 --> 00:28:53,360
Speaker 1: enforcement knows that these are the guys who will come

487
00:28:53,400 --> 00:28:55,800
Speaker 1: and judge you for the Justice Department over the last

488
00:28:55,840 --> 00:28:59,440
Speaker 1: eight years oppressively, and now when they have to do

489
00:28:59,520 --> 00:29:02,120
Speaker 1: some mall reflection, rate comes and says, yeah, what we'll

490
00:29:02,120 --> 00:29:04,240
Speaker 1: do is we'll do a quick four hour block on

491
00:29:04,360 --> 00:29:06,920
Speaker 1: bias training to teach our people to be professional after

492
00:29:06,960 --> 00:29:08,800
Speaker 1: all these decades. Dave, I got I got a question.

493
00:29:08,800 --> 00:29:10,480
Speaker 1: I got a question for you, Dave, because and again

494
00:29:10,600 --> 00:29:13,120
Speaker 1: it's great to have somebody with your your perspective background.

495
00:29:13,160 --> 00:29:18,920
Speaker 1: Is why would the entire FBI need bias training if

496
00:29:18,960 --> 00:29:21,200
Speaker 1: there was no bias in the i G Report. I'm

497
00:29:21,240 --> 00:29:22,760
Speaker 1: just wondering if you could answer that one for me,

498
00:29:22,760 --> 00:29:24,680
Speaker 1: because I'm sitting around having a tough time with it.

499
00:29:26,040 --> 00:29:27,920
Speaker 1: You know, this is what I mean by hubris. This

500
00:29:28,000 --> 00:29:31,959
Speaker 1: is that ability to just deny reality. It's just incredible

501
00:29:32,240 --> 00:29:34,760
Speaker 1: and at the same time, to keep this this constant

502
00:29:34,840 --> 00:29:37,720
Speaker 1: drumbeat we're the best, we're the best. We don't really

503
00:29:37,720 --> 00:29:39,680
Speaker 1: need to learn from our mistakes. We'll just do a

504
00:29:39,760 --> 00:29:42,120
Speaker 1: quick four hour block and what I don't know how

505
00:29:42,160 --> 00:29:46,000
Speaker 1: they missed that class in the academy about being objective investigators.

506
00:29:46,080 --> 00:29:48,520
Speaker 1: This just makes me crazy now, Dave, thanks for keeping

507
00:29:48,520 --> 00:29:50,520
Speaker 1: our streets safe and thanks for your perspective. This one

508
00:29:50,520 --> 00:29:53,600
Speaker 1: man shields high. I do appreciate the call team. We're

509
00:29:53,600 --> 00:29:55,720
Speaker 1: gonna come back to this in just a moment. We

510
00:29:55,800 --> 00:29:57,800
Speaker 1: got a lot more. Next hour, we're talking about immigration.

511
00:29:58,320 --> 00:30:02,560
Speaker 1: We'll discuss uh discrimination against Asians and one of the

512
00:30:02,600 --> 00:30:06,120
Speaker 1: most elite institutions in the country. They will do a

513
00:30:06,200 --> 00:30:09,680
Speaker 1: big roll call, rundown all kinds of all kinds of

514
00:30:09,680 --> 00:30:12,560
Speaker 1: good things, good things coming, good things, be right back.

515
00:30:22,840 --> 00:30:26,800
Speaker 1: We're gonna train every single FBI employee, both new hires

516
00:30:26,800 --> 00:30:30,960
Speaker 1: and veterans alike, on what went wrong so these mistakes

517
00:30:31,040 --> 00:30:35,040
Speaker 1: will never be repeated. Third, we're gonna make sure that

518
00:30:35,080 --> 00:30:38,520
Speaker 1: we have the policies, the procedures, and the training that

519
00:30:38,560 --> 00:30:41,920
Speaker 1: are needed for everyone to understand and remember what is

520
00:30:41,960 --> 00:30:47,280
Speaker 1: expected of all of ours. That includes drilling home the

521
00:30:47,320 --> 00:30:53,400
Speaker 1: importance of objectivity, of avoiding even the appearance of personal

522
00:30:53,440 --> 00:30:59,400
Speaker 1: conflicts or political bias in our work. Why would they

523
00:30:59,440 --> 00:31:02,440
Speaker 1: need biased training if they had no bias, Folks, It's

524
00:31:02,480 --> 00:31:05,040
Speaker 1: pretty obvious question. But the obvious questions are the ones

525
00:31:05,120 --> 00:31:09,320
Speaker 1: we need to ask right now. Well, What's what why

526
00:31:09,400 --> 00:31:11,400
Speaker 1: is that if they found no bias, what's with making

527
00:31:11,400 --> 00:31:13,680
Speaker 1: everybody go through biasedrame? Why are you even talking about bias?

528
00:31:14,600 --> 00:31:16,239
Speaker 1: Because they clearly did find it, but they don't want

529
00:31:16,280 --> 00:31:17,719
Speaker 1: to say it because if they say it, then they

530
00:31:17,720 --> 00:31:22,200
Speaker 1: can't avoid the fact that people would lose faith in

531
00:31:22,280 --> 00:31:25,680
Speaker 1: the FBI's ability to be politically impartial. Remember, this is

532
00:31:25,680 --> 00:31:30,560
Speaker 1: about politically sensitive investigations. Most of what the FBI does is,

533
00:31:30,680 --> 00:31:37,880
Speaker 1: you know, stopping major drug transactions, white collar crime, credit

534
00:31:37,880 --> 00:31:43,120
Speaker 1: card fraud, kidnapping, you know, cartels, all that kind of stuff. Right. No,

535
00:31:43,360 --> 00:31:45,400
Speaker 1: that is not No one's saying the FBI can't do that,

536
00:31:45,520 --> 00:31:46,840
Speaker 1: can't be trusted to do that, or any of that.

537
00:31:47,400 --> 00:31:51,240
Speaker 1: We're just saying when there's a political sensitivity, there is

538
00:31:51,280 --> 00:31:55,880
Speaker 1: a clear tendency for it to go in favor of

539
00:31:55,920 --> 00:31:59,400
Speaker 1: the Democrat and against the Republican on any issue, on

540
00:31:59,480 --> 00:32:01,960
Speaker 1: any issue. Uh. And and that's where I think we

541
00:32:02,000 --> 00:32:03,520
Speaker 1: have probably by the way, one thing I thought was

542
00:32:03,520 --> 00:32:06,800
Speaker 1: really interesting today was Giuliani who spoke with me this

543
00:32:06,840 --> 00:32:12,360
Speaker 1: morning on on Rising. He he said, and this was

544
00:32:12,400 --> 00:32:13,880
Speaker 1: just he said, in front of a bunch of people.

545
00:32:13,920 --> 00:32:16,000
Speaker 1: So this wasn't a just anything. It was kind of

546
00:32:16,040 --> 00:32:17,680
Speaker 1: an off camera moment, but he told me that he

547
00:32:17,800 --> 00:32:21,400
Speaker 1: hired Comy. I didn't know this. He hired Comey, and

548
00:32:21,480 --> 00:32:23,840
Speaker 1: Comey worked for him as an assistant U S attorney

549
00:32:24,680 --> 00:32:31,840
Speaker 1: for UH for four years. And he said that he

550
00:32:31,960 --> 00:32:35,520
Speaker 1: knew that he had a problem with Comy. And this

551
00:32:35,600 --> 00:32:37,880
Speaker 1: was really interesting to me, with the Martha Stewart thing

552
00:32:39,000 --> 00:32:40,760
Speaker 1: because that and and now that he just said that

553
00:32:40,760 --> 00:32:43,680
Speaker 1: he didn't get into details, but I said, yeah, that's right,

554
00:32:43,720 --> 00:32:46,720
Speaker 1: because that's when Comy realized that the power to prosecute

555
00:32:47,680 --> 00:32:52,920
Speaker 1: is a fearsome thing and can be used for person

556
00:32:53,000 --> 00:32:58,080
Speaker 1: for tremendous personal political advancement. And going after Martha Stewart

557
00:32:58,160 --> 00:33:01,680
Speaker 1: in that way, well is meant to make a name

558
00:33:01,720 --> 00:33:05,800
Speaker 1: for Comey, because they were they were they were harsh

559
00:33:06,080 --> 00:33:09,560
Speaker 1: with Martha Stewart under the circumstances. And I know people

560
00:33:09,560 --> 00:33:14,840
Speaker 1: that were involved peripherally on that case, and they said that, man,

561
00:33:14,880 --> 00:33:18,440
Speaker 1: it was it was rough what he did there. And

562
00:33:18,520 --> 00:33:20,520
Speaker 1: Trump is being rough on Comey as I think he

563
00:33:20,560 --> 00:33:26,840
Speaker 1: should be. I have the greatest supporters in the world,

564
00:33:27,280 --> 00:33:30,560
Speaker 1: by the way, they're the smartest, that the hardest working,

565
00:33:30,920 --> 00:33:34,440
Speaker 1: they pay taxes, they're incredible, by the way, I have

566
00:33:34,480 --> 00:33:36,680
Speaker 1: the FBI. You go into the FBI and take a

567
00:33:36,760 --> 00:33:39,400
Speaker 1: poll of the real FBI, not the scum on top.

568
00:33:39,560 --> 00:33:41,920
Speaker 1: Not call me in that group of people that total things.

569
00:33:43,080 --> 00:33:45,480
Speaker 1: If you look at what happened and don't forget all

570
00:33:45,520 --> 00:33:48,320
Speaker 1: of these people like Struck, what he did was criminal

571
00:33:48,880 --> 00:33:51,480
Speaker 1: Struck and so many others, McCabe, they all worked for

572
00:33:51,520 --> 00:33:53,480
Speaker 1: coming and come me knew everything that was going. Then

573
00:33:53,480 --> 00:33:56,000
Speaker 1: you think McCabe didn't tell him everything. I think Comey

574
00:33:56,280 --> 00:33:58,680
Speaker 1: was the ringleader of this whole den of thieves. It

575
00:33:58,800 --> 00:34:05,000
Speaker 1: was a den of thieves. Yep, that's right. See he

576
00:34:05,040 --> 00:34:08,360
Speaker 1: gets it that that's the dynamic here. Also, when I

577
00:34:08,360 --> 00:34:09,800
Speaker 1: was talking to Juliane to day, I was like, you know,

578
00:34:09,840 --> 00:34:11,760
Speaker 1: I've been saying for a long time, people have just stop.

579
00:34:12,000 --> 00:34:14,440
Speaker 1: Combe is not an FBI guy. He was made the

580
00:34:14,440 --> 00:34:17,080
Speaker 1: director of the f BEHIND. That's different. He's a d

581
00:34:17,160 --> 00:34:22,120
Speaker 1: O J lawyer. He's a lawyer, and I very self

582
00:34:22,239 --> 00:34:26,080
Speaker 1: righteous and sanctimonious one at that. Comey's never you know,

583
00:34:26,239 --> 00:34:28,560
Speaker 1: gone into a drug house and had to you know,

584
00:34:28,640 --> 00:34:31,080
Speaker 1: kick in the door and and worry about whether someone's

585
00:34:31,080 --> 00:34:33,279
Speaker 1: gonna come at him with a sharp object or a

586
00:34:33,320 --> 00:34:36,480
Speaker 1: gun or that's that's so, you know, let's let's keep

587
00:34:36,520 --> 00:34:39,359
Speaker 1: that out of the conversation because that's not what Comy is.

588
00:34:39,560 --> 00:34:42,720
Speaker 1: And he people are saying, oh, you can never trust

589
00:34:42,760 --> 00:34:46,440
Speaker 1: anybody who pretends that he is the institution, and that's

590
00:34:46,440 --> 00:34:48,920
Speaker 1: what Comby was doing with the FBI. Oh, they all

591
00:34:48,960 --> 00:34:50,880
Speaker 1: love him so much. I haven't heard from a single

592
00:34:51,200 --> 00:34:53,080
Speaker 1: I've been a I was a d J earler this week.

593
00:34:53,120 --> 00:34:54,560
Speaker 1: I've been speaking to friends of mine who work at

594
00:34:54,560 --> 00:34:56,080
Speaker 1: the d J. One of the great things about me

595
00:34:56,120 --> 00:34:58,920
Speaker 1: being in the swamp now is the tentacles of the

596
00:34:58,920 --> 00:35:01,960
Speaker 1: Freedom hund are extending deep into the swamp, which is

597
00:35:02,000 --> 00:35:05,080
Speaker 1: great in the sense that I'm I've got all I'm

598
00:35:05,320 --> 00:35:08,160
Speaker 1: running my little, my little freedom Hut Spy network now. Man,

599
00:35:08,200 --> 00:35:10,239
Speaker 1: I'm finding out all kinds of good stuff and then

600
00:35:10,239 --> 00:35:11,640
Speaker 1: I get to bring it onto the show and tell

601
00:35:11,640 --> 00:35:14,080
Speaker 1: you about what's really going on behind the scenes. So

602
00:35:14,200 --> 00:35:16,960
Speaker 1: that's the good part of it. The bad part is

603
00:35:17,000 --> 00:35:18,440
Speaker 1: that the food is like a you know, like a

604
00:35:18,480 --> 00:35:20,319
Speaker 1: B minus compared to New York. But that's all right.

605
00:35:20,840 --> 00:35:22,680
Speaker 1: The things I put up with team to bring you

606
00:35:22,680 --> 00:35:28,279
Speaker 1: the best show possible includes a a dearth of acceptable

607
00:35:28,280 --> 00:35:33,240
Speaker 1: gluten free options in the restaurant scene. You know, really

608
00:35:33,520 --> 00:35:37,279
Speaker 1: uh Italian food that's like, you know, it's like the

609
00:35:37,320 --> 00:35:39,759
Speaker 1: Italian food that you would expect in Sweden or something.

610
00:35:39,800 --> 00:35:41,439
Speaker 1: You know, it's like they have really no idea what's

611
00:35:41,480 --> 00:35:43,840
Speaker 1: going on. And I'm being a little harsh on the

612
00:35:43,840 --> 00:35:46,799
Speaker 1: swamp right now. DC is it's you know, it's it's

613
00:35:46,800 --> 00:35:48,719
Speaker 1: a little groans up. Now it's getting a little better.

614
00:35:49,080 --> 00:35:51,120
Speaker 1: But I do get to talk to people that are

615
00:35:51,160 --> 00:35:53,400
Speaker 1: involved in the mix and and it's just a lot easier.

616
00:35:53,440 --> 00:35:54,879
Speaker 1: One thing is I can see them in person, which

617
00:35:54,920 --> 00:35:56,560
Speaker 1: for some of these conversations you really need to do

618
00:35:57,080 --> 00:35:59,560
Speaker 1: because they they definitely they don't want to pull a

619
00:35:59,680 --> 00:36:02,920
Speaker 1: struck and start texting stuff that, you know, even if

620
00:36:02,960 --> 00:36:04,960
Speaker 1: it's okay for them to say it legally, they don't

621
00:36:04,960 --> 00:36:09,239
Speaker 1: want to get jammed up, uh for not being a

622
00:36:09,280 --> 00:36:13,720
Speaker 1: member of the you know, team Hillary squad publicly. Anyway. Uh,

623
00:36:13,760 --> 00:36:15,239
Speaker 1: we got some more on this. We're gonna talk about

624
00:36:15,239 --> 00:36:18,959
Speaker 1: immigration coming up in the next hour, and many other things,

625
00:36:19,080 --> 00:36:25,360
Speaker 1: many many things, teams, So stay right there. Ninline Apparel

626
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Speaker 1: is a veteran owned and operated patriotic lifestyle brand. Look,

627
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628
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Speaker 1: They love liberty and they've built an all American brand,

629
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Speaker 1: and they're also people that really do a lot of

630
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631
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635
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Speaker 1: apparel company that I know is really going to resonate

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Speaker 1: heard about him here on the Buck Sexton Show. Buck

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Speaker 1: Sexton Permission decoding the news and disseminating information. Who is

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Speaker 1: actionable intelligence. Make no mistake American, You're a great American again.

645
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Speaker 1: This is the Buck Sexton Show. Activity Analyst, No, Welcome

646
00:37:40,680 --> 00:37:43,680
Speaker 1: back to the Buck Sexton Show. You have so many

647
00:37:43,719 --> 00:37:47,920
Speaker 1: things to discuss here We had a very very astute,

648
00:37:47,960 --> 00:37:50,680
Speaker 1: very interesting observation in the break from producer Mike that

649
00:37:50,760 --> 00:37:52,879
Speaker 1: I wanted to share with you because I'm talking about

650
00:37:52,880 --> 00:37:57,120
Speaker 1: the the cabal, the deep state, and you know, I've

651
00:37:57,160 --> 00:37:59,239
Speaker 1: always had a feeling You're gonna find out that there

652
00:37:59,320 --> 00:38:03,040
Speaker 1: was more Sally Yates involved in some of this stuff

653
00:38:03,040 --> 00:38:04,960
Speaker 1: than we've heard so far. I could be wrong on that, though,

654
00:38:05,000 --> 00:38:09,440
Speaker 1: we know she's clearly a hashtag resistance person. But struck

655
00:38:09,480 --> 00:38:11,399
Speaker 1: and struck and comb he got hammered in the size

656
00:38:11,400 --> 00:38:14,040
Speaker 1: of your report. But there's somebody that I've left out

657
00:38:14,040 --> 00:38:16,400
Speaker 1: of the analysis thus far that Mike brought into it. Mike,

658
00:38:16,440 --> 00:38:18,239
Speaker 1: who what do you? What do you think about about

659
00:38:18,239 --> 00:38:21,879
Speaker 1: who's at the top of this anti Trump pyramid? Yeah, Well,

660
00:38:21,920 --> 00:38:24,879
Speaker 1: the last clip we played on President Obama said he

661
00:38:24,920 --> 00:38:27,120
Speaker 1: said Tom he was the ringleader. And I said to you,

662
00:38:27,239 --> 00:38:31,880
Speaker 1: I rarely disagree with our president Trump. President Trump said that,

663
00:38:32,800 --> 00:38:35,600
Speaker 1: and I rarely disagree with the president and and I

664
00:38:35,640 --> 00:38:39,319
Speaker 1: believe that Obama is the ring leader. I don't think

665
00:38:39,360 --> 00:38:42,160
Speaker 1: it's comedy. I think it's Obama. And as the as

666
00:38:42,200 --> 00:38:46,400
Speaker 1: the IG report mentioned last night, it stated that President

667
00:38:46,400 --> 00:38:49,760
Speaker 1: Obama was one of thirteen individuals who Clinton had direct

668
00:38:49,800 --> 00:38:54,399
Speaker 1: contact with using her Clinton email dot com account. Play

669
00:38:54,440 --> 00:38:58,040
Speaker 1: that John, play that clip about Obama lying lying about

670
00:38:58,040 --> 00:39:00,600
Speaker 1: the president. When did you first learn that Hillary use

671
00:39:00,640 --> 00:39:05,320
Speaker 1: an email system outside the US government for official business

672
00:39:05,360 --> 00:39:08,120
Speaker 1: while she was Secretary of State at the same time

673
00:39:09,120 --> 00:39:13,399
Speaker 1: everybody else learned it through news reports. That's a lie.

674
00:39:15,840 --> 00:39:19,160
Speaker 1: That's a lie. I don't care who you are. If

675
00:39:19,200 --> 00:39:21,279
Speaker 1: if you are used to getting emails some people on

676
00:39:21,360 --> 00:39:23,319
Speaker 1: a on a dot of email address and you start

677
00:39:23,360 --> 00:39:27,279
Speaker 1: getting something from like Clinton Clinton email or whatever, you

678
00:39:27,520 --> 00:39:31,520
Speaker 1: you would notice that, especially, I mean the report about

679
00:39:31,520 --> 00:39:33,680
Speaker 1: about Hillary's when when you look at what it said

680
00:39:33,680 --> 00:39:36,279
Speaker 1: about her, they said she had special access program data

681
00:39:36,320 --> 00:39:38,560
Speaker 1: that she that was getting center. I mean, that's this

682
00:39:38,680 --> 00:39:41,200
Speaker 1: is a really sensitive, really classified stuff. Comey said that

683
00:39:41,280 --> 00:39:44,200
Speaker 1: in this press conference special access program to a highly

684
00:39:44,280 --> 00:39:48,839
Speaker 1: highly classified information reserve, and and they just let it go.

685
00:39:50,000 --> 00:39:52,399
Speaker 1: You see, folks, you can come up with a reason

686
00:39:52,440 --> 00:39:54,440
Speaker 1: to never enforce the law. Really, you know, if you

687
00:39:54,480 --> 00:39:58,359
Speaker 1: can always find some either through prosecureal discretion or nullification,

688
00:39:58,680 --> 00:40:01,400
Speaker 1: or you have to have the will to enforce the

689
00:40:01,480 --> 00:40:03,480
Speaker 1: law as it is, and you can't pretend to lossess

690
00:40:03,480 --> 00:40:05,920
Speaker 1: something other than it is. Democrats are all about lawlessness

691
00:40:05,960 --> 00:40:08,840
Speaker 1: in the pursuit of power. They don't care. But Obama,

692
00:40:08,880 --> 00:40:10,560
Speaker 1: and this, this point that Mike brought back into the

693
00:40:10,560 --> 00:40:14,160
Speaker 1: conversation is really important. Obama is much more involved in

694
00:40:14,239 --> 00:40:17,799
Speaker 1: all this than anyone wants to to really ever wants

695
00:40:17,800 --> 00:40:21,799
Speaker 1: to talk about right now, all these officials that we're

696
00:40:21,800 --> 00:40:25,239
Speaker 1: talking about here, comy and you all arrest them, they

697
00:40:25,239 --> 00:40:27,279
Speaker 1: would have had to keep Obama in the loop about

698
00:40:27,320 --> 00:40:31,560
Speaker 1: what's going on. Probably you'll never get access to that

699
00:40:31,600 --> 00:40:34,440
Speaker 1: information because they'll just say it's it's under executive privilege.

700
00:40:34,440 --> 00:40:37,480
Speaker 1: You get fought in the courts forever. And at one

701
00:40:37,520 --> 00:40:39,719
Speaker 1: important point, and by the way, Giuliani was like, that's

702
00:40:40,160 --> 00:40:42,200
Speaker 1: gave me credit as various stute comment that I'm when

703
00:40:42,239 --> 00:40:45,080
Speaker 1: I interviewed them this morning, and I said, we're just

704
00:40:45,120 --> 00:40:48,320
Speaker 1: seeing the stuff they were writing down. You can't imagine

705
00:40:48,360 --> 00:40:50,879
Speaker 1: the stuff because we all know, those of us who

706
00:40:50,880 --> 00:40:53,560
Speaker 1: have ever worked in intel of the law enforcing community,

707
00:40:53,680 --> 00:40:56,320
Speaker 1: that anything you're gonna say, or anything that you're gonna communicate,

708
00:40:56,400 --> 00:40:58,719
Speaker 1: that's like maybe a little borderline, and you know, in

709
00:40:58,800 --> 00:41:02,400
Speaker 1: the political realm or what ever, over the phone this way,

710
00:41:02,440 --> 00:41:05,399
Speaker 1: because unless somebody has an active tap on you. It's

711
00:41:05,440 --> 00:41:10,200
Speaker 1: like it never happened. Anything you write exists forever on servers,

712
00:41:10,239 --> 00:41:13,000
Speaker 1: It exists always. They can always get it right. So

713
00:41:13,160 --> 00:41:15,319
Speaker 1: when you see what's being written down, folks, when you

714
00:41:15,400 --> 00:41:17,439
Speaker 1: see what they're writing to each other, just think about

715
00:41:17,440 --> 00:41:19,800
Speaker 1: what they were saying to each other about all this stuff.

716
00:41:21,080 --> 00:41:22,960
Speaker 1: And then add to that what was being said to

717
00:41:23,000 --> 00:41:26,440
Speaker 1: Obama in the Oval office about the Hillary email investigation,

718
00:41:26,640 --> 00:41:30,840
Speaker 1: about Trump and Russia collusion. And you know, I understand

719
00:41:30,880 --> 00:41:34,399
Speaker 1: we're making an inference here, but we have a lot

720
00:41:34,480 --> 00:41:36,960
Speaker 1: there's a lot of a lot of reason to believe

721
00:41:37,920 --> 00:41:39,760
Speaker 1: that Obama was brought up to speed on this stuff.

722
00:41:39,760 --> 00:41:41,919
Speaker 1: He was much more involved in it than we've we've

723
00:41:41,960 --> 00:41:46,000
Speaker 1: been told. And think the lengths that they went to

724
00:41:46,000 --> 00:41:51,000
Speaker 1: to help Hillary win the election, I would offer to

725
00:41:51,120 --> 00:41:54,440
Speaker 1: you probably pale in comparison to what a lot of

726
00:41:54,480 --> 00:41:57,400
Speaker 1: these government employees would have been willing to do to

727
00:41:57,560 --> 00:42:02,880
Speaker 1: protect Obama's legacy. I mean, if you really look, Hillary

728
00:42:03,040 --> 00:42:05,200
Speaker 1: was always a half hearted effort. You know, Yeah, they

729
00:42:05,200 --> 00:42:07,800
Speaker 1: wanted to be president, yeah, you know, better than Trump.

730
00:42:07,840 --> 00:42:12,560
Speaker 1: But Obama they truly loved and adored. And if if

731
00:42:13,239 --> 00:42:16,960
Speaker 1: he is receiving information from Hillary, you know, we never

732
00:42:17,000 --> 00:42:20,000
Speaker 1: really got clarity in this who had the classified that

733
00:42:20,040 --> 00:42:25,359
Speaker 1: was getting sent around and Obama lying about this. By

734
00:42:25,360 --> 00:42:26,799
Speaker 1: the way, you know, they never will say things like

735
00:42:26,840 --> 00:42:28,839
Speaker 1: Obama's a liar. Let's say Trump's a liar all the time,

736
00:42:28,840 --> 00:42:31,760
Speaker 1: even though we know Obama lied about some very important

737
00:42:31,920 --> 00:42:35,800
Speaker 1: thinks policy issues, and he lied to sell policy ideas,

738
00:42:35,840 --> 00:42:37,640
Speaker 1: most notably if you like your healthcare plan, you can

739
00:42:37,719 --> 00:42:40,560
Speaker 1: keep it. That was a huge lie. Now, that was

740
00:42:40,600 --> 00:42:44,239
Speaker 1: the biggest political lie of you know, of of the

741
00:42:44,320 --> 00:42:49,720
Speaker 1: last ten years that I can think of the media.

742
00:42:49,800 --> 00:42:53,560
Speaker 1: But but if you say, is Obama liar or no

743
00:42:53,640 --> 00:42:57,160
Speaker 1: scandal scandal free administration, they're telling you now completely rewriting history,

744
00:42:57,200 --> 00:43:03,600
Speaker 1: scandal free administration totally we wret history. So anyway, I'm

745
00:43:04,040 --> 00:43:12,200
Speaker 1: just flabbergasted, flabbergasted. Yes, there was in fact special treatment

746
00:43:12,280 --> 00:43:15,840
Speaker 1: here for Hillary as we know, there was special treatment.

747
00:43:16,280 --> 00:43:20,600
Speaker 1: Bob Goodlad brought this up. This report shows that there

748
00:43:20,840 --> 00:43:25,439
Speaker 1: was special treatment given to Hillary Clinton in the investigation

749
00:43:25,440 --> 00:43:28,840
Speaker 1: of her case. There are there is not UH standard

750
00:43:28,840 --> 00:43:32,720
Speaker 1: procedures followed in investigating her uh and there was special

751
00:43:32,719 --> 00:43:35,320
Speaker 1: treatment given. There's no doubt that this was not a

752
00:43:35,560 --> 00:43:38,720
Speaker 1: proper process. And the report shows time and time again

753
00:43:39,040 --> 00:43:43,279
Speaker 1: how director call Me and others made mistakes Hereors and

754
00:43:43,360 --> 00:43:46,960
Speaker 1: judgment or deliberate people can draw their own conclusions, but

755
00:43:47,040 --> 00:43:51,000
Speaker 1: it was improperly handled. Improperly handled, to say the least.

756
00:43:51,880 --> 00:43:53,600
Speaker 1: You know, one thing I've been warning about here on

757
00:43:53,640 --> 00:43:55,560
Speaker 1: the show for a long time, and we'll continue to

758
00:43:55,560 --> 00:44:00,080
Speaker 1: warn about, is that they are hoping that they are

759
00:44:00,080 --> 00:44:03,480
Speaker 1: hoping to stall install not just because they're afraid of

760
00:44:03,480 --> 00:44:05,319
Speaker 1: the truth coming up, because they think that they'll get

761
00:44:05,360 --> 00:44:07,680
Speaker 1: to a point when they can finally just cover up

762
00:44:07,719 --> 00:44:15,320
Speaker 1: the information. And Devin Noonez spoke to that issue. Um,

763
00:44:15,400 --> 00:44:18,760
Speaker 1: there was information that we got today at eleven o'clock,

764
00:44:18,800 --> 00:44:21,799
Speaker 1: twelve o'clock that actually Sherman Goudy had to call and

765
00:44:21,840 --> 00:44:24,799
Speaker 1: tell me what it was. Text messages that we had

766
00:44:24,840 --> 00:44:28,040
Speaker 1: been asking for since late last year. Now, these are

767
00:44:28,080 --> 00:44:32,279
Speaker 1: text messages that clearly were pertinent to our investigation and

768
00:44:32,400 --> 00:44:35,719
Speaker 1: too fis abuse and the Russia investigation, whether or not

769
00:44:35,760 --> 00:44:39,799
Speaker 1: there was collusion. These are emails or text messages that

770
00:44:40,200 --> 00:44:43,279
Speaker 1: somebody held from us. So every day that goes by,

771
00:44:43,480 --> 00:44:47,200
Speaker 1: there is a new example of obstruction of a congressional investigation.

772
00:44:47,520 --> 00:44:50,520
Speaker 1: The same people in charge today still believe they can

773
00:44:50,600 --> 00:44:52,680
Speaker 1: run the clock out, and they're trying to run the

774
00:44:52,680 --> 00:44:54,160
Speaker 1: clock out for the rest of this Congress so we

775
00:44:54,200 --> 00:44:57,839
Speaker 1: can't finish our investigations. That is what they are trying

776
00:44:57,880 --> 00:45:00,480
Speaker 1: to do. There is an urgency here for to get

777
00:45:00,480 --> 00:45:03,120
Speaker 1: the truth out, to get the information we need now,

778
00:45:03,719 --> 00:45:06,319
Speaker 1: because they will hide it from us the moment that

779
00:45:06,360 --> 00:45:09,319
Speaker 1: they have the opportunity, and they will turn this all

780
00:45:09,320 --> 00:45:13,280
Speaker 1: into one big political circus with an impeachment effort against

781
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Speaker 1: the president. I want to tell you some things that

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00:45:16,160 --> 00:45:17,680
Speaker 1: matter that you're not hearing about from the rest of

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Speaker 1: the media, like how good things are the economy right now,

784
00:45:20,560 --> 00:45:24,000
Speaker 1: how strong the chances are that Republicans are actually gonna

785
00:45:24,040 --> 00:45:26,560
Speaker 1: stay in power. I believe I'm not gonna focus on

786
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Speaker 1: a judge remanding uh Manafort to custody, because who cares.

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Speaker 1: We got more stay with me. The FBI calls home

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Speaker 1: I took this thing off. It was one point too,

807
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Speaker 1: and each point is three trillion dollars and ten million jobs.

808
00:46:40,719 --> 00:46:42,719
Speaker 1: You know a point people will sit home. Oh it's

809
00:46:42,719 --> 00:46:44,960
Speaker 1: a point. What difference does it make? Well, it was

810
00:46:45,080 --> 00:46:48,320
Speaker 1: one point too and it was going down. You probably,

811
00:46:48,320 --> 00:46:50,760
Speaker 1: so this morning I put out they would have raised

812
00:46:50,760 --> 00:46:52,920
Speaker 1: your taxes instead of cut your Texas and they were

813
00:46:52,920 --> 00:46:55,279
Speaker 1: gonna put on more regulations. The last thing we need

814
00:46:55,320 --> 00:46:59,120
Speaker 1: is regulations. I actually think my regulation cutting had more

815
00:46:59,160 --> 00:47:01,320
Speaker 1: of an impact on the economy than the text cuts.

816
00:47:01,400 --> 00:47:05,560
Speaker 1: When you were running, you said for every regulation we enact,

817
00:47:05,680 --> 00:47:09,120
Speaker 1: I will cut two. But you didn't cut two. You're

818
00:47:09,120 --> 00:47:12,040
Speaker 1: cutting a much bigger number, twenty two. It turned at

819
00:47:12,080 --> 00:47:16,239
Speaker 1: twenty two President Trump was talking about one. According to

820
00:47:16,320 --> 00:47:18,640
Speaker 1: the Atlanta FE you know, they modeled this stuff and

821
00:47:18,680 --> 00:47:21,480
Speaker 1: they try to guess this current quarter ran Now they

822
00:47:21,520 --> 00:47:24,600
Speaker 1: think we're going at four point eight percent. That's mine

823
00:47:24,640 --> 00:47:27,200
Speaker 1: bogging has only been above that number one since two

824
00:47:27,280 --> 00:47:32,840
Speaker 1: thousand and six. Economy is booming, my friends. Important for

825
00:47:32,920 --> 00:47:36,160
Speaker 1: us all to remember that, because you'll notice not a

826
00:47:36,239 --> 00:47:44,360
Speaker 1: lot of focus on that, much more, much more focused

827
00:47:44,480 --> 00:47:48,759
Speaker 1: on trashing what the president says about North Korea or

828
00:47:48,840 --> 00:47:52,200
Speaker 1: saying that he's way too you know, he's way too

829
00:47:52,239 --> 00:47:54,000
Speaker 1: cozy with it. You know that they want to talk

830
00:47:54,040 --> 00:47:57,440
Speaker 1: about Trump saluting a North Korean Yeah, yeah, they want

831
00:47:57,440 --> 00:47:59,040
Speaker 1: to talk about that. They don't want to tell you, though,

832
00:47:59,080 --> 00:48:01,160
Speaker 1: that the economy not only is booming, folks, but it

833
00:48:01,160 --> 00:48:04,880
Speaker 1: looks like it's going to continue booming. We we've been told,

834
00:48:05,040 --> 00:48:07,040
Speaker 1: oh do we do we have them? What? What? What

835
00:48:07,400 --> 00:48:09,839
Speaker 1: we have them? Talking about? The no no, no, hold

836
00:48:09,840 --> 00:48:11,200
Speaker 1: on a second, Yeah, I thought we had that clup.

837
00:48:11,239 --> 00:48:14,440
Speaker 1: Maybe we do, maybe we don't. Point is, the economy

838
00:48:14,480 --> 00:48:17,160
Speaker 1: is really strong. There are no stories in the mainstream

839
00:48:17,200 --> 00:48:20,799
Speaker 1: media about this. They do not talk. It affects you

840
00:48:20,920 --> 00:48:25,520
Speaker 1: so much more. There are no stories about entrepreneurs that

841
00:48:25,560 --> 00:48:28,600
Speaker 1: are crushing it now and and employers who are hiring.

842
00:48:28,680 --> 00:48:30,560
Speaker 1: And you know that they're not telling you these good

843
00:48:30,560 --> 00:48:35,239
Speaker 1: news stories. They are so focused in on minutia. It's dishonest,

844
00:48:35,360 --> 00:48:40,320
Speaker 1: it's crap. One interesting side note that the North Korean

845
00:48:40,600 --> 00:48:44,960
Speaker 1: uh president, not president, North Korean general who Trump saluted

846
00:48:45,880 --> 00:48:48,400
Speaker 1: And I said, people were just trashing the president for this,

847
00:48:48,440 --> 00:48:51,440
Speaker 1: And I'm like, look, I'll be honest with you. If

848
00:48:51,440 --> 00:48:56,319
Speaker 1: a guy in a military uniform saluted me, um, you know,

849
00:48:56,360 --> 00:48:59,959
Speaker 1: if if you did play play twenty eight for a second,

850
00:49:00,880 --> 00:49:05,919
Speaker 1: what did you mean just now when you stop here,

851
00:49:06,000 --> 00:49:16,320
Speaker 1: understand sir? Wait, wait, you're the worst. They are the worst.

852
00:49:17,320 --> 00:49:21,279
Speaker 1: They are the worst. They have really become, uh the

853
00:49:21,400 --> 00:49:25,319
Speaker 1: enemy of truth CNN. That should be the slogan, uh,

854
00:49:25,480 --> 00:49:28,359
Speaker 1: the enemy of truth. Wow, that's actually really good. I'm

855
00:49:28,360 --> 00:49:31,160
Speaker 1: not gonna lie. I might. I think we're gonna stay

856
00:49:31,160 --> 00:49:34,080
Speaker 1: with that for a while. They're not the enemy, right,

857
00:49:34,120 --> 00:49:37,520
Speaker 1: I got I have friends over at CNN, but they

858
00:49:37,520 --> 00:49:40,279
Speaker 1: are the enemy of truth as an organization. That is

859
00:49:40,320 --> 00:49:41,719
Speaker 1: a fair thing to say. I think we should. We

860
00:49:41,800 --> 00:49:43,440
Speaker 1: gotta like get that out there. Other people have got

861
00:49:43,520 --> 00:49:45,040
Speaker 1: to pick up on that one. You know. We gotta

862
00:49:45,080 --> 00:49:48,480
Speaker 1: get like l rush bow from like from the giant

863
00:49:48,520 --> 00:49:50,640
Speaker 1: megaphone and start hitting that one out there. That'd be fun.

864
00:49:51,160 --> 00:49:53,160
Speaker 1: We gotta pass along the word. Maybe maybe we get

865
00:49:53,160 --> 00:49:58,080
Speaker 1: Shawn to tap into it too. Uh. Anyway, you know,

866
00:49:58,239 --> 00:50:00,600
Speaker 1: notice that that they're so focused on the North Korea thing,

867
00:50:00,960 --> 00:50:04,640
Speaker 1: and Trump's just like guys. You know, obviously Trump doesn't

868
00:50:04,640 --> 00:50:06,640
Speaker 1: think that North Korea is a cool place to live.

869
00:50:06,680 --> 00:50:09,840
Speaker 1: Obviously Trump knows that these guys are the people running

870
00:50:09,840 --> 00:50:12,000
Speaker 1: the country or dictators and their savage to their own

871
00:50:12,040 --> 00:50:15,360
Speaker 1: people and everything else. He's trying to save the North

872
00:50:15,440 --> 00:50:18,799
Speaker 1: Korean people from the regime. That's the whole point of this.

873
00:50:20,040 --> 00:50:22,160
Speaker 1: But you'll also see there's all this focus on what's

874
00:50:22,160 --> 00:50:24,040
Speaker 1: going on in North Korea. They care so much about

875
00:50:24,080 --> 00:50:28,000
Speaker 1: North Korea. You know what, I actually care more about

876
00:50:28,040 --> 00:50:30,480
Speaker 1: what's happening here in this country. And what they're not

877
00:50:30,560 --> 00:50:34,000
Speaker 1: telling you is that things are really good. The economy

878
00:50:34,160 --> 00:50:37,720
Speaker 1: is crushing it right now. Removing all these insane government

879
00:50:37,760 --> 00:50:43,239
Speaker 1: regulations is a good thing. It is making us wealthier

880
00:50:43,280 --> 00:50:46,160
Speaker 1: and freer as a people. And Trump gets no credit

881
00:50:46,239 --> 00:50:49,239
Speaker 1: for this stuff. Instead, they're all into the saluting. And

882
00:50:49,280 --> 00:50:51,400
Speaker 1: you know that was about his comment about you know,

883
00:50:52,000 --> 00:50:53,839
Speaker 1: he wants people to sit up or you know, stand

884
00:50:53,880 --> 00:50:56,400
Speaker 1: up the way Kim Jong. He's just kind of speaking

885
00:50:56,400 --> 00:50:59,560
Speaker 1: about stuff. But they'll call him a liar for that.

886
00:50:59,600 --> 00:51:01,080
Speaker 1: You know this what they do now, see then the

887
00:51:01,200 --> 00:51:05,080
Speaker 1: enemy of truth and they pervert the notion of truth

888
00:51:05,120 --> 00:51:07,799
Speaker 1: and lies by saying, oh, you know, you said that

889
00:51:08,560 --> 00:51:12,200
Speaker 1: everybody knows something, were not everybody knows. Yeah, it's a

890
00:51:12,239 --> 00:51:17,400
Speaker 1: figure of speech, your imbeciles. But they're just doing it

891
00:51:17,440 --> 00:51:19,480
Speaker 1: all in bad faith. And I look, that's why I

892
00:51:19,480 --> 00:51:21,120
Speaker 1: love when Trump calls him out and says that there

893
00:51:22,000 --> 00:51:27,160
Speaker 1: says that they're clowns. You know, even even even Lindsay Graham. Hello, Lindsay.

894
00:51:27,440 --> 00:51:30,000
Speaker 1: Lindsay got a little ficy today about Trump stuff too.

895
00:51:30,920 --> 00:51:33,360
Speaker 1: So if you don't like me working with President Trump

896
00:51:33,400 --> 00:51:36,800
Speaker 1: to make the world a better place, I don't give it. Yeah,

897
00:51:36,840 --> 00:51:41,400
Speaker 1: Lindsay spicy, I like it. I don't give it. Lindsey

898
00:51:41,440 --> 00:51:43,520
Speaker 1: Graham series all of a sudden, I'm pictured Lindsay like

899
00:51:44,120 --> 00:51:46,080
Speaker 1: you know, with some with like some chewing tobacco in

900
00:51:46,160 --> 00:51:48,400
Speaker 1: his mouth and like you know, a double barrel over

901
00:51:48,400 --> 00:51:51,239
Speaker 1: his shoulder, and he's like, bring its son, let's you know,

902
00:51:51,480 --> 00:51:54,000
Speaker 1: let's make America better. I'm like, that's the Lindsay Graham.

903
00:51:54,080 --> 00:51:56,960
Speaker 1: I want to see Lindsay served the Navy. You know,

904
00:51:57,040 --> 00:52:01,040
Speaker 1: he can, he can crack some skulls. I don't like this.

905
00:52:01,360 --> 00:52:04,000
Speaker 1: Lindsay's just like, well, I'll just like the foreign policy.

906
00:52:04,080 --> 00:52:05,920
Speaker 1: It's gonna no, I don't know, Lindsay, get into get

907
00:52:05,920 --> 00:52:07,440
Speaker 1: in the fight. Lindsay. I like to see that. I

908
00:52:07,480 --> 00:52:09,840
Speaker 1: thought that was that was encouraging it. He said that

909
00:52:09,920 --> 00:52:12,480
Speaker 1: on CNN to you. By the way, you'll notice CNN

910
00:52:12,520 --> 00:52:15,360
Speaker 1: is suffering from a respect deficit right now, as it should.

911
00:52:15,360 --> 00:52:17,400
Speaker 1: People are just like, you know what, screw this place,

912
00:52:17,960 --> 00:52:22,840
Speaker 1: forget about it, forget about it. I gotta tell you,

913
00:52:22,880 --> 00:52:25,080
Speaker 1: I think it's a great thing. It really is. The

914
00:52:25,160 --> 00:52:29,200
Speaker 1: day when when they finally decide that, when when they

915
00:52:29,200 --> 00:52:35,680
Speaker 1: are finally willing two uh, you know, be honest about

916
00:52:35,920 --> 00:52:37,800
Speaker 1: what they do and who they are, then that's fine.

917
00:52:37,920 --> 00:52:40,320
Speaker 1: You know, I hate them a lot more than MSNBC.

918
00:52:40,400 --> 00:52:43,200
Speaker 1: It's not it's not actually anything about my time there

919
00:52:43,400 --> 00:52:45,560
Speaker 1: or that I think that it's I saw from the inside.

920
00:52:45,640 --> 00:52:47,799
Speaker 1: I saw into the hood and it's disgusting. Although that's

921
00:52:47,800 --> 00:52:50,719
Speaker 1: all true, it's just because MSNBC we can have an

922
00:52:50,719 --> 00:52:53,200
Speaker 1: ideological argument on the you know, we can, we can

923
00:52:53,320 --> 00:52:56,160
Speaker 1: enter the battlefield of ideas. And you know, I'm wearing

924
00:52:56,160 --> 00:52:59,920
Speaker 1: my uniform. They're wearing their uniform CNN. They're the guys

925
00:53:00,000 --> 00:53:03,120
Speaker 1: to run around switching uniforms. You know, they're out of uniform.

926
00:53:03,160 --> 00:53:07,320
Speaker 1: They're not covered by the by the political Punda, Geneva

927
00:53:07,360 --> 00:53:12,320
Speaker 1: Convention rules. You know, they're basically cheating. Seeing ends, seeing

928
00:53:12,400 --> 00:53:14,480
Speaker 1: end of the combatants that hide behind women and children.

929
00:53:14,520 --> 00:53:17,120
Speaker 1: Then they're like, you're such a you're so evil. It's like, well,

930
00:53:17,160 --> 00:53:19,880
Speaker 1: maybe you should actually fight for real and not do

931
00:53:19,960 --> 00:53:23,319
Speaker 1: it this way. We're just objective journalists, were just down

932
00:53:23,360 --> 00:53:26,839
Speaker 1: the center. We're just being honest. Yeah, right, please, all

933
00:53:26,880 --> 00:53:28,600
Speaker 1: all kinds of garbage. I love it when Trump goes

934
00:53:28,600 --> 00:53:29,880
Speaker 1: after them. I love it when he puts them in

935
00:53:29,920 --> 00:53:33,000
Speaker 1: their place. People thought we were probably going to war

936
00:53:33,080 --> 00:53:39,439
Speaker 1: with North Korea. Quiet if we did, millions of people

937
00:53:39,480 --> 00:53:42,520
Speaker 1: would have been killed. Put them in there, but quiet.

938
00:53:42,600 --> 00:53:46,520
Speaker 1: That's right enough. No more grand standing Acosta stuff. No

939
00:53:46,600 --> 00:53:48,560
Speaker 1: more of this nonsense. We we've all, we've all had

940
00:53:48,600 --> 00:53:52,240
Speaker 1: it up to hear. Look at this, they're they are

941
00:53:52,680 --> 00:53:55,560
Speaker 1: pointing at what's going on the other side of the world.

942
00:53:55,920 --> 00:53:58,439
Speaker 1: We don't have any We we don't know if North Korea,

943
00:53:58,480 --> 00:54:00,319
Speaker 1: if the North Korea reaches worked or not. But we

944
00:54:00,600 --> 00:54:02,440
Speaker 1: sure as heck don't need people trying to undermine the

945
00:54:02,480 --> 00:54:04,680
Speaker 1: president all the time. One interesting thing about the salute,

946
00:54:04,680 --> 00:54:07,360
Speaker 1: and I was gonna say this before, is look, I

947
00:54:07,440 --> 00:54:09,840
Speaker 1: understand it makes people uncomfortable for for anyone to salute

948
00:54:09,920 --> 00:54:11,759
Speaker 1: North Korean general. I think it was just a gut

949
00:54:11,760 --> 00:54:15,040
Speaker 1: reaction from Trump, who when anybody in the military uniform

950
00:54:15,080 --> 00:54:17,040
Speaker 1: salutes and me salutes back. Right. He doesn't have a

951
00:54:17,080 --> 00:54:21,520
Speaker 1: military background. He respects and and I believe reveres our

952
00:54:21,600 --> 00:54:24,120
Speaker 1: military and everyone I speak to in the military. By

953
00:54:24,120 --> 00:54:26,839
Speaker 1: the way, who's a door kicker. I can't speak for

954
00:54:26,920 --> 00:54:29,719
Speaker 1: the rest of the folks, you know. I mostly talked

955
00:54:29,719 --> 00:54:31,800
Speaker 1: to door kickers about this. I haven't spoken to people

956
00:54:31,840 --> 00:54:33,839
Speaker 1: that are in other parts of the the military quite as

957
00:54:33,920 --> 00:54:35,560
Speaker 1: much because I just don't come across them as much.

958
00:54:36,480 --> 00:54:37,759
Speaker 1: Because of the nature of the work that I do

959
00:54:37,800 --> 00:54:40,520
Speaker 1: now usually have people who are you know, in combat,

960
00:54:40,520 --> 00:54:43,680
Speaker 1: who are going on TV analyzing these things. Uh, they

961
00:54:43,719 --> 00:54:47,120
Speaker 1: all think Trump is great, so that I you know,

962
00:54:47,200 --> 00:54:49,520
Speaker 1: so there's that as well. But I think that he

963
00:54:49,680 --> 00:54:52,200
Speaker 1: I think that he saluted there as a just a

964
00:54:53,400 --> 00:54:56,080
Speaker 1: in reaction. But it's interesting in the North Korean general

965
00:54:56,120 --> 00:54:59,000
Speaker 1: saluted the commander chief the United States Army, I mean

966
00:54:59,040 --> 00:55:03,080
Speaker 1: the United States military, pardon me, saluted our commander in chief,

967
00:55:04,320 --> 00:55:08,239
Speaker 1: and that was broadcast on North Korean TV. If you

968
00:55:08,320 --> 00:55:13,000
Speaker 1: understand North Korean propaganda, you actually know that they portray

969
00:55:13,080 --> 00:55:16,000
Speaker 1: Trump as a as an evil war criminal. You know,

970
00:55:16,080 --> 00:55:18,920
Speaker 1: anybody from anyone in America who's involved the military is

971
00:55:18,920 --> 00:55:22,080
Speaker 1: supposed to be a you know, a terrible actually a

972
00:55:22,120 --> 00:55:26,040
Speaker 1: baby murdering savage. That's how they're presented. Americans are presented.

973
00:55:26,040 --> 00:55:29,600
Speaker 1: Our military is presented as being you know, rapacious barbarians.

974
00:55:30,440 --> 00:55:36,560
Speaker 1: It's interesting that you have a h North Korean general.

975
00:55:36,600 --> 00:55:38,080
Speaker 1: I'm not saying it's like a b all I know,

976
00:55:38,160 --> 00:55:40,480
Speaker 1: but the North Korean general saluting our commander in chief.

977
00:55:40,760 --> 00:55:44,640
Speaker 1: This is a data point that got lost in I

978
00:55:44,680 --> 00:55:46,800
Speaker 1: think the shuffle of people just being all upset about

979
00:55:46,800 --> 00:55:50,719
Speaker 1: this um anyway. Point is, you'll notice they'll they'll knitpick

980
00:55:50,880 --> 00:55:53,279
Speaker 1: everything they can about the North Korea deal, about what

981
00:55:53,320 --> 00:55:56,040
Speaker 1: Trump says about everything else, he just shuts them down.

982
00:55:56,080 --> 00:55:58,640
Speaker 1: He's like this, it's all a waste, folks, It's all

983
00:55:58,719 --> 00:56:02,840
Speaker 1: just a shiny object game that they're playing. When what

984
00:56:03,000 --> 00:56:06,040
Speaker 1: really matters to you the border, which we're gonna talk

985
00:56:06,040 --> 00:56:08,440
Speaker 1: about in a few minutes here, the economy which is

986
00:56:08,480 --> 00:56:13,200
Speaker 1: incredibly strong, repealing regulations which has been just magic in

987
00:56:13,320 --> 00:56:16,120
Speaker 1: terms of what it has done for businesses and for

988
00:56:16,360 --> 00:56:19,400
Speaker 1: all of us who are investors, who are who are

989
00:56:19,440 --> 00:56:21,759
Speaker 1: working for companies, who are trying to start our own

990
00:56:21,760 --> 00:56:25,720
Speaker 1: small businesses. They won't talk about that because they are wrong.

991
00:56:25,840 --> 00:56:28,640
Speaker 1: Trump has been right on issue after issue. We're seeing

992
00:56:28,640 --> 00:56:31,319
Speaker 1: the results of it, and they're wrong, and they can't

993
00:56:31,320 --> 00:56:33,960
Speaker 1: handle it because they think they're in the business of

994
00:56:34,000 --> 00:56:36,000
Speaker 1: being right all the time, and they think that being

995
00:56:36,080 --> 00:56:38,840
Speaker 1: right all the time he's being a progressive Democrat. So

996
00:56:40,400 --> 00:56:42,480
Speaker 1: I'm here to give you more perspective. I'm here to

997
00:56:42,520 --> 00:56:46,640
Speaker 1: tell you what I believe to be the truth about

998
00:56:46,640 --> 00:56:49,560
Speaker 1: all of this, and to also tell you who the

999
00:56:49,680 --> 00:56:52,400
Speaker 1: enemies of truth are. And that's an important thing for

1000
00:56:52,440 --> 00:56:53,560
Speaker 1: us all to keep in mind, I do want to

1001
00:56:53,600 --> 00:56:56,520
Speaker 1: talk to you about the situation of the border, so

1002
00:56:56,880 --> 00:57:01,520
Speaker 1: we have more on that. Really unfair. Are outrageous comments

1003
00:57:01,520 --> 00:57:03,000
Speaker 1: coming from the left on this one. We'll get into that.

1004
00:57:03,040 --> 00:57:06,880
Speaker 1: Stay with me. Children being taken away, you know, I

1005
00:57:06,920 --> 00:57:09,880
Speaker 1: hate it. I hate the children being taken away. The

1006
00:57:10,000 --> 00:57:16,960
Speaker 1: Democrats have to change their law. That's their law. Quieter,

1007
00:57:17,360 --> 00:57:20,760
Speaker 1: that's the Democrats law. We can change it tonight. We

1008
00:57:20,800 --> 00:57:23,360
Speaker 1: can change it right now. I will leave here. You

1009
00:57:24,440 --> 00:57:29,200
Speaker 1: need their votes, you need their votes, the Democrats. All

1010
00:57:29,240 --> 00:57:34,000
Speaker 1: they have to do. The Democrats issues me by one vote.

1011
00:57:34,320 --> 00:57:36,080
Speaker 1: We don't need it. You need sixty votes. We have

1012
00:57:36,080 --> 00:57:39,000
Speaker 1: a one vote. Excuse me, we need a one vote.

1013
00:57:39,160 --> 00:57:41,440
Speaker 1: We have a one vote edge. We need sixty, so

1014
00:57:41,480 --> 00:57:44,959
Speaker 1: we need ten votes. We can't get it from the Democrats.

1015
00:57:46,120 --> 00:57:51,800
Speaker 1: You know, they're just they're doing this because one. Democrats

1016
00:57:51,880 --> 00:57:54,320
Speaker 1: just love to make the issue of immigration not about

1017
00:57:54,320 --> 00:57:58,040
Speaker 1: the law, but about every individual tear jerker of a

1018
00:57:58,120 --> 00:58:01,240
Speaker 1: case they possibly can, which I would say you could

1019
00:58:01,240 --> 00:58:03,880
Speaker 1: do with any violations of law. Right anytime somebody has

1020
00:58:04,320 --> 00:58:06,080
Speaker 1: broken the law and it is going to be processed.

1021
00:58:06,080 --> 00:58:08,880
Speaker 1: They are separated from their children, some of them putting

1022
00:58:08,880 --> 00:58:12,360
Speaker 1: out No one's crying big tears for for menaphor. They say, oh,

1023
00:58:12,400 --> 00:58:14,920
Speaker 1: he did all these terrible things. He didn't pay the

1024
00:58:14,960 --> 00:58:17,439
Speaker 1: government money that he made overseas or something. I mean,

1025
00:58:18,000 --> 00:58:20,919
Speaker 1: I'm not saying that's okay, but you know it's also

1026
00:58:20,960 --> 00:58:23,120
Speaker 1: not gonna affect you or me, my friends, that that's

1027
00:58:23,160 --> 00:58:27,280
Speaker 1: not he's not an AX murderer. But they're they're just

1028
00:58:27,440 --> 00:58:29,600
Speaker 1: running with this as much as possible. And it's because

1029
00:58:29,760 --> 00:58:32,640
Speaker 1: one they want people to skip beyond, as I've been

1030
00:58:32,640 --> 00:58:34,760
Speaker 1: saying for this whole show, they just want to move

1031
00:58:34,800 --> 00:58:37,600
Speaker 1: beyond this i g report. They threw up such a

1032
00:58:37,600 --> 00:58:41,800
Speaker 1: smoke screen, so many lies on this one. And you know,

1033
00:58:41,840 --> 00:58:45,040
Speaker 1: you've got some Republicans that are also looking for cover

1034
00:58:45,360 --> 00:58:49,120
Speaker 1: coming up here on on immigration because they want to

1035
00:58:49,120 --> 00:58:52,000
Speaker 1: go back to their districts and seem very pro DOCA

1036
00:58:52,200 --> 00:58:56,560
Speaker 1: and very pro honestly pro illegal and it's it's troubling

1037
00:58:56,600 --> 00:58:59,360
Speaker 1: to me. This is not this is not what we

1038
00:58:59,640 --> 00:59:03,280
Speaker 1: who've voted for Republican candidates, and certainly those have voted

1039
00:59:03,280 --> 00:59:05,320
Speaker 1: for Trump. It's not what we signed up for. It isn't.

1040
00:59:06,280 --> 00:59:10,400
Speaker 1: It just isn't, And that we're even talking about an

1041
00:59:10,400 --> 00:59:15,120
Speaker 1: amnesty and talking about changing changing laws to make it

1042
00:59:15,160 --> 00:59:17,760
Speaker 1: more favorable for those who are crossing the border illegally

1043
00:59:17,840 --> 00:59:20,960
Speaker 1: or those who have already crossed the border illegally without

1044
00:59:21,560 --> 00:59:26,960
Speaker 1: a wall, without e verify what happened all these immigration

1045
00:59:27,000 --> 00:59:31,240
Speaker 1: policies we were promised, Uh, they were. I feel like

1046
00:59:31,240 --> 00:59:32,880
Speaker 1: it was made very clear to us that we were

1047
00:59:32,880 --> 00:59:36,080
Speaker 1: supposed to get certain things because we had the House,

1048
00:59:36,120 --> 00:59:38,880
Speaker 1: we had the Senate, We have the Senate and the presidency,

1049
00:59:39,000 --> 00:59:42,160
Speaker 1: and it's not happening meanwhile. I mean, Democrats are just

1050
00:59:42,440 --> 00:59:47,120
Speaker 1: demogoguing the crap out of this issue of parents and

1051
00:59:47,200 --> 00:59:49,320
Speaker 1: children at the border. Keep them on that they What

1052
00:59:49,400 --> 00:59:53,240
Speaker 1: they won't tell you about are the parents who, because

1053
00:59:53,280 --> 00:59:55,400
Speaker 1: they think they'll be able to stay, are bringing their

1054
00:59:55,480 --> 00:59:59,520
Speaker 1: children into incredibly dangerous circumstances in advance of getting to

1055
00:59:59,560 --> 01:00:03,880
Speaker 1: the border, who are paying coyotes, whose children are being abused.

1056
01:00:04,560 --> 01:00:07,000
Speaker 1: Heaven knows what's even I mean, you know, my god,

1057
01:00:07,160 --> 01:00:08,680
Speaker 1: we don't want to think about some of the stuff

1058
01:00:08,680 --> 01:00:13,040
Speaker 1: that's going on, right, and it's very dangerous. You're there

1059
01:00:13,040 --> 01:00:15,680
Speaker 1: are bodies that get found in the desert. And this

1060
01:00:15,760 --> 01:00:18,680
Speaker 1: was all because there was an incentive that was put

1061
01:00:18,760 --> 01:00:21,840
Speaker 1: in place by the Obama administration. Obama administration policy became

1062
01:00:21,840 --> 01:00:23,840
Speaker 1: show up at the border with the kid claim asylum.

1063
01:00:23,880 --> 01:00:26,920
Speaker 1: You all could just just wave your right through. So

1064
01:00:27,040 --> 01:00:33,400
Speaker 1: children get used as a a tool of loophole for

1065
01:00:33,400 --> 01:00:36,400
Speaker 1: those who want to be in the country illegally. And

1066
01:00:36,480 --> 01:00:38,600
Speaker 1: like I said, okay, they're led into the country, but

1067
01:00:38,640 --> 01:00:41,160
Speaker 1: then they're not supposed to stay, so then they become illegal. Right.

1068
01:00:41,400 --> 01:00:43,920
Speaker 1: This is the the semantics games that's going on. The

1069
01:00:43,960 --> 01:00:47,360
Speaker 1: Democrat Party has become an open border party. They won't

1070
01:00:47,400 --> 01:00:49,160
Speaker 1: say it, and they'll fight and they'll say no, we've

1071
01:00:49,200 --> 01:00:52,600
Speaker 1: got this militarized border and everything. They will not make

1072
01:00:52,600 --> 01:00:54,600
Speaker 1: the case that anyone who's in the country should have

1073
01:00:54,680 --> 01:00:57,960
Speaker 1: to leave unless they kill somebody, and even then, even

1074
01:00:58,000 --> 01:00:59,720
Speaker 1: if they're a serious criminal, even if they are a

1075
01:00:59,760 --> 01:01:03,120
Speaker 1: serious threat of public safety. Yeah, they get a little

1076
01:01:03,160 --> 01:01:06,200
Speaker 1: weak on this stuff, but they're not having a serious

1077
01:01:06,200 --> 01:01:09,760
Speaker 1: conversation about it. And I I see Republicans the midterms

1078
01:01:09,760 --> 01:01:11,520
Speaker 1: are looming and they get weak on this, and I'm

1079
01:01:11,520 --> 01:01:16,080
Speaker 1: saying they won being strong on the border. They won

1080
01:01:16,400 --> 01:01:20,160
Speaker 1: going along with Trump on this one. That's why we

1081
01:01:20,240 --> 01:01:24,360
Speaker 1: had this election. We had in you know, MSNBC and

1082
01:01:24,440 --> 01:01:28,520
Speaker 1: others are are, like I said, demagoguing the issue. Here's

1083
01:01:28,520 --> 01:01:31,480
Speaker 1: the kind of stuff that they're saying. We can't find

1084
01:01:31,480 --> 01:01:34,640
Speaker 1: a solution to this problem without harming children, without putting

1085
01:01:34,640 --> 01:01:37,080
Speaker 1: them into concentration camps. And I would even say stepping

1086
01:01:37,080 --> 01:01:39,480
Speaker 1: in to that point. It's not even an interpretation of

1087
01:01:39,520 --> 01:01:43,560
Speaker 1: the law. It is a policy. It is a policy

1088
01:01:43,640 --> 01:01:45,800
Speaker 1: that has been invoked by the President of the United

1089
01:01:45,840 --> 01:01:49,760
Speaker 1: States and dictated to his Attorney general, who goes out

1090
01:01:49,800 --> 01:01:53,080
Speaker 1: and quotes the Bible, by the way, a passage that

1091
01:01:53,200 --> 01:01:57,040
Speaker 1: was used to justify slavery in this country, to to

1092
01:01:57,240 --> 01:02:01,600
Speaker 1: justify in camping children. I call this a concentration camp

1093
01:02:01,640 --> 01:02:04,400
Speaker 1: for kids because that's exactly what is turning out to.

1094
01:02:04,480 --> 01:02:07,240
Speaker 1: When you give kids twenty two hours of lock up

1095
01:02:07,280 --> 01:02:11,160
Speaker 1: time and two hours of air time, what else can

1096
01:02:11,240 --> 01:02:13,360
Speaker 1: it be. And if this is where this country is going,

1097
01:02:13,440 --> 01:02:15,600
Speaker 1: the American people need to wake up and pay attention

1098
01:02:15,760 --> 01:02:18,640
Speaker 1: because your kids could be next. Yeah, I mean, that

1099
01:02:18,800 --> 01:02:21,200
Speaker 1: is just an outrage. The whole thing is just wow.

1100
01:02:21,880 --> 01:02:25,120
Speaker 1: And Mika, they're like, yeah, yeah, Mika, who you know,

1101
01:02:25,200 --> 01:02:28,160
Speaker 1: it's just going back and forth from like Palm Beach

1102
01:02:28,240 --> 01:02:32,280
Speaker 1: to Nantucket. You know, the mansion in Georgetown she really

1103
01:02:32,320 --> 01:02:34,440
Speaker 1: cares about you know, Oh yeah, it's really keeping her

1104
01:02:34,520 --> 01:02:38,760
Speaker 1: up at night. Give me a break. M okay, let's

1105
01:02:38,800 --> 01:02:41,800
Speaker 1: let's let's take this apart. Now, let's actually pull away

1106
01:02:41,840 --> 01:02:45,480
Speaker 1: the nonsense. I spoke to the Attorney General about this

1107
01:02:45,560 --> 01:02:49,240
Speaker 1: issue this week. It is it is a lie to

1108
01:02:49,360 --> 01:02:55,080
Speaker 1: say that they have changed anything other than this is

1109
01:02:55,120 --> 01:02:59,760
Speaker 1: what the law says. What the Obama administration did was

1110
01:03:00,280 --> 01:03:04,320
Speaker 1: we will not enforce the law on the books. That

1111
01:03:04,480 --> 01:03:09,480
Speaker 1: is a form of nullification by one political party in power.

1112
01:03:09,560 --> 01:03:12,000
Speaker 1: Right when you just say we're just not enforcing this law,

1113
01:03:13,200 --> 01:03:16,320
Speaker 1: that isn't actually a change in the law. That is lawlessness.

1114
01:03:17,240 --> 01:03:19,480
Speaker 1: So it is not true. Republicans have not passed any

1115
01:03:19,480 --> 01:03:22,840
Speaker 1: new law. They've They've just said what Obama was doing

1116
01:03:23,120 --> 01:03:27,760
Speaker 1: was lawless. We're not doing that anymore. Now you also

1117
01:03:27,800 --> 01:03:32,680
Speaker 1: look at what do they expect to happen here? Is

1118
01:03:32,720 --> 01:03:35,920
Speaker 1: it now US government immigration? Is it supposed to be

1119
01:03:35,920 --> 01:03:39,000
Speaker 1: immigration policy that if you show up with a child

1120
01:03:39,040 --> 01:03:43,720
Speaker 1: at the border, you don't have to go through any

1121
01:03:43,800 --> 01:03:45,160
Speaker 1: you just get to show you just get to come

1122
01:03:45,160 --> 01:03:47,920
Speaker 1: into the country. People are saying that there's a you

1123
01:03:47,960 --> 01:03:50,720
Speaker 1: know that there's a separation. The separation lasts for a

1124
01:03:50,760 --> 01:03:53,160
Speaker 1: period of hours while the person and this is where

1125
01:03:53,160 --> 01:03:55,560
Speaker 1: they're also not telling you the truth about what's happening.

1126
01:03:56,040 --> 01:03:59,200
Speaker 1: It is hours while the parent is processed. You've seen

1127
01:03:59,240 --> 01:04:01,960
Speaker 1: the facilities the kids are held in, and you know, yes,

1128
01:04:02,040 --> 01:04:04,439
Speaker 1: it is not a rich Carlton they're putting these kids

1129
01:04:04,480 --> 01:04:07,240
Speaker 1: up at the border. But we're also not supposed to

1130
01:04:07,280 --> 01:04:10,680
Speaker 1: be having taxpayer funded rich Carlton's for whoever wants to

1131
01:04:10,680 --> 01:04:12,760
Speaker 1: come into the country at our border. That's not what

1132
01:04:12,800 --> 01:04:14,600
Speaker 1: I mean, That's not what I'm paying taxes for. It's

1133
01:04:14,600 --> 01:04:17,280
Speaker 1: not what you're paying taxes for. Kids are cared for,

1134
01:04:17,400 --> 01:04:20,760
Speaker 1: they are safe, they are they are given food and facilities,

1135
01:04:20,800 --> 01:04:24,160
Speaker 1: and by the way, all courtesy of of Uncle Sam.

1136
01:04:24,360 --> 01:04:27,200
Speaker 1: No other country in the world does this, not a

1137
01:04:27,240 --> 01:04:30,919
Speaker 1: single one. No other country in the world says, show

1138
01:04:31,000 --> 01:04:33,200
Speaker 1: up with a child and we'll pay for everything and

1139
01:04:33,240 --> 01:04:39,000
Speaker 1: you can just stay. So when and when he starts

1140
01:04:39,000 --> 01:04:43,800
Speaker 1: invoking concentration camps, that means a very specific thing to me, folks,

1141
01:04:44,720 --> 01:04:49,360
Speaker 1: And that you've got MSNBC engaged in just such reckless

1142
01:04:49,400 --> 01:04:54,280
Speaker 1: demagoguery is indicative of how just underhanded they are in

1143
01:04:54,320 --> 01:04:58,000
Speaker 1: the entire discussion. They're lying about the the reality of

1144
01:04:58,040 --> 01:05:01,560
Speaker 1: the laws, the Obamba. The photos that were being circulated

1145
01:05:01,560 --> 01:05:05,560
Speaker 1: with all this stuff were Obama administration era photos. You

1146
01:05:05,600 --> 01:05:09,080
Speaker 1: notice how that got pushed aside. That doesn't really get

1147
01:05:09,080 --> 01:05:12,840
Speaker 1: brought up very much. And they don't have any answers

1148
01:05:12,840 --> 01:05:17,240
Speaker 1: here for what's really supposed to happen. Is it now

1149
01:05:17,520 --> 01:05:20,160
Speaker 1: a is it now a criminal act to show up

1150
01:05:20,160 --> 01:05:22,720
Speaker 1: at the border or not? Is it illegal to come

1151
01:05:22,720 --> 01:05:25,840
Speaker 1: to the border If it's not illegal for anybody with kids.

1152
01:05:26,000 --> 01:05:28,000
Speaker 1: I need to know how we're supposed to enforce that one,

1153
01:05:28,560 --> 01:05:30,680
Speaker 1: because I promise you have a whole lot of people,

1154
01:05:30,960 --> 01:05:33,840
Speaker 1: more than you already have had, who are going to say,

1155
01:05:33,920 --> 01:05:35,680
Speaker 1: you know what, all I need to do is just

1156
01:05:36,440 --> 01:05:38,760
Speaker 1: bring someone's kids with me, say the kid is mine,

1157
01:05:39,160 --> 01:05:43,080
Speaker 1: and now I get to stay in America. Yeah, it doesn't,

1158
01:05:43,080 --> 01:05:45,360
Speaker 1: doesn't do. I feel badly sure. I've also been in

1159
01:05:45,400 --> 01:05:49,320
Speaker 1: refugee camps in Syria with children who have watched family

1160
01:05:49,360 --> 01:05:52,960
Speaker 1: members get executed. I've been in refugee camps where kids

1161
01:05:53,040 --> 01:05:57,360
Speaker 1: that have been through horrific atrocities are gathered together by

1162
01:05:57,360 --> 01:06:01,480
Speaker 1: the hundreds of thousands, and none of their you know,

1163
01:06:01,520 --> 01:06:03,160
Speaker 1: none of their neighbors are taking them in and none

1164
01:06:03,160 --> 01:06:06,640
Speaker 1: of the you know, no countries in the region are saying, yeah,

1165
01:06:06,680 --> 01:06:08,360
Speaker 1: you just get to be a citizen of our country.

1166
01:06:09,840 --> 01:06:12,880
Speaker 1: And we don't hear about how those countries are so

1167
01:06:13,000 --> 01:06:16,240
Speaker 1: racist all the time and so terrible. So, you know this,

1168
01:06:16,400 --> 01:06:18,560
Speaker 1: it's such an easy it's so easy, and this is

1169
01:06:18,560 --> 01:06:22,840
Speaker 1: a classic problem, a classic fallacy of liberalism. It's so

1170
01:06:22,880 --> 01:06:26,040
Speaker 1: easy to be generous with other people's resources, other people's time,

1171
01:06:26,560 --> 01:06:29,840
Speaker 1: and and feel like this won't affect you. And you know,

1172
01:06:29,880 --> 01:06:34,760
Speaker 1: the the Trump movement, the Trump folks need to hammer

1173
01:06:34,840 --> 01:06:38,680
Speaker 1: this point because this is what led to the way

1174
01:06:38,720 --> 01:06:45,320
Speaker 1: we saw in sen You have these defeat elitist liberals

1175
01:06:46,360 --> 01:06:49,040
Speaker 1: that don't care what the law is. They just want

1176
01:06:49,080 --> 01:06:52,440
Speaker 1: to feel righteous. They want to be self righteous, and

1177
01:06:52,480 --> 01:06:54,800
Speaker 1: they want to pretend that they can make the laws

1178
01:06:54,880 --> 01:06:56,920
Speaker 1: up about immigration as they go along. And you know,

1179
01:06:57,440 --> 01:07:00,680
Speaker 1: their kids aren't going to schools full of illegals that

1180
01:07:00,720 --> 01:07:03,440
Speaker 1: don't speak English, that require English as a second language,

1181
01:07:03,480 --> 01:07:06,360
Speaker 1: that have bring all kinds of problems trauma from their backgrounds.

1182
01:07:06,480 --> 01:07:08,240
Speaker 1: You know, we've got enough problems in this country with

1183
01:07:08,280 --> 01:07:10,600
Speaker 1: the kids we've already got in public school, right, we

1184
01:07:10,680 --> 01:07:14,480
Speaker 1: we have limited resources. This is not or They can

1185
01:07:14,480 --> 01:07:16,120
Speaker 1: just say we want to be open borders, but they

1186
01:07:16,160 --> 01:07:18,120
Speaker 1: can't have it both ways. They can't say they're about

1187
01:07:18,200 --> 01:07:21,040
Speaker 1: rule of law, but they'll never enforce the law against

1188
01:07:21,040 --> 01:07:23,920
Speaker 1: anyone because they're so nice. That's not all right. That's

1189
01:07:24,040 --> 01:07:26,640
Speaker 1: that that cannot be allowed to stand anymore. And I

1190
01:07:26,680 --> 01:07:29,240
Speaker 1: think we're seeing a point in time here where you

1191
01:07:29,280 --> 01:07:32,000
Speaker 1: need real pushback from Republicans. But I'm sensing there some

1192
01:07:32,040 --> 01:07:34,960
Speaker 1: weakness on this. I want to talk to you about

1193
01:07:36,880 --> 01:07:41,880
Speaker 1: the the claim that I saw here about these movies

1194
01:07:41,920 --> 01:07:44,160
Speaker 1: that they're making. So we're gonna switch gears here because

1195
01:07:44,160 --> 01:07:45,320
Speaker 1: now it's a Friday and I don't want to just

1196
01:07:45,360 --> 01:07:47,720
Speaker 1: be all intense and serious for too much of the show.

1197
01:07:48,320 --> 01:07:55,280
Speaker 1: There's a claim out there about critics being unfair, unfair

1198
01:07:55,360 --> 01:08:01,400
Speaker 1: to movies that are remake of classics with an all

1199
01:08:01,440 --> 01:08:04,200
Speaker 1: female cast. I'll I will dig into this a bit

1200
01:08:04,200 --> 01:08:05,560
Speaker 1: more in just a moment. You'll see what I mean.

1201
01:08:05,640 --> 01:08:11,800
Speaker 1: Stay with me. The female Ghostbusters remake was a a

1202
01:08:11,920 --> 01:08:16,040
Speaker 1: two hour long visual atrocity. It was one of the

1203
01:08:16,080 --> 01:08:21,800
Speaker 1: worst things I've ever seen on film on screen anywhere.

1204
01:08:22,640 --> 01:08:26,719
Speaker 1: I mean, I would I would really consider uh sitting

1205
01:08:26,800 --> 01:08:30,120
Speaker 1: along the side of a Highway in the dark and

1206
01:08:30,200 --> 01:08:33,360
Speaker 1: staring at the Median for two hours before going back

1207
01:08:33,400 --> 01:08:37,160
Speaker 1: and trying to watch the female remake of of Ghostbusters

1208
01:08:37,160 --> 01:08:42,599
Speaker 1: because it was actually that bad. And I know people

1209
01:08:42,680 --> 01:08:46,519
Speaker 1: might say, Bob, come on, you're being you're being no, no,

1210
01:08:46,680 --> 01:08:49,759
Speaker 1: I might be too nice to it. Actually it was.

1211
01:08:49,920 --> 01:08:54,280
Speaker 1: It was. It was appalling, and it almost I hesitate

1212
01:08:54,320 --> 01:08:56,880
Speaker 1: to even say, this almost ruined the original Ghostbusters for me,

1213
01:08:56,920 --> 01:09:00,840
Speaker 1: which is one of the greatest, most timeless comedy classics ever.

1214
01:09:01,560 --> 01:09:04,960
Speaker 1: You know, the original Ghostbusters. I can quote lines from

1215
01:09:04,960 --> 01:09:09,320
Speaker 1: it like the back of my hand, and where I

1216
01:09:09,320 --> 01:09:11,080
Speaker 1: guess I know it like I just mixed metaphors. I

1217
01:09:11,320 --> 01:09:12,920
Speaker 1: don't think I can quote the back of my hand.

1218
01:09:13,000 --> 01:09:14,400
Speaker 1: That would be quite a skill. But you know what

1219
01:09:14,400 --> 01:09:18,400
Speaker 1: I mean, it's late. Everybody leave me alone. Uh no, no.

1220
01:09:18,439 --> 01:09:21,200
Speaker 1: But seriously, it was one of the It was a

1221
01:09:21,280 --> 01:09:22,960
Speaker 1: terrible movie, and it was just funny because you had

1222
01:09:23,000 --> 01:09:27,160
Speaker 1: this backlash of people saying, oh and I think even Um,

1223
01:09:27,240 --> 01:09:29,920
Speaker 1: one of the original writers of Ghostbusters, was like, it's

1224
01:09:29,920 --> 01:09:32,879
Speaker 1: just all the all the trump. He was really disappointing.

1225
01:09:32,880 --> 01:09:34,920
Speaker 1: I think it was Dan Ackroyd actually who said all

1226
01:09:34,960 --> 01:09:39,240
Speaker 1: the you know, the like inbred Trump idiots don't like

1227
01:09:39,320 --> 01:09:41,360
Speaker 1: the movie or something, and that's the problem. It's like, okay,

1228
01:09:41,360 --> 01:09:42,920
Speaker 1: well what about the what about the half of the

1229
01:09:42,920 --> 01:09:45,519
Speaker 1: country that like worships Hillary and Obama? They didn't see

1230
01:09:45,520 --> 01:09:48,800
Speaker 1: it either, buddy. Everybody thought the movie stunk because it did.

1231
01:09:48,840 --> 01:09:51,559
Speaker 1: It was just a bad movie. We have the same

1232
01:09:51,640 --> 01:09:57,360
Speaker 1: thing here where Mindy Kaling who just keeps getting pushed along.

1233
01:09:57,439 --> 01:09:59,960
Speaker 1: Everyone said, oh, she's so funny, and the Mindy products

1234
01:10:00,000 --> 01:10:06,439
Speaker 1: He's not funny. Okay, she's not funny. And I know

1235
01:10:06,560 --> 01:10:08,599
Speaker 1: there's a lot of everyone's trying to say, oh, she's

1236
01:10:08,640 --> 01:10:11,880
Speaker 1: so great, and we're you know, I'm I'm not trying

1237
01:10:11,880 --> 01:10:15,080
Speaker 1: to sound like some kind of you know, closet misogynists

1238
01:10:15,080 --> 01:10:17,920
Speaker 1: they or something, but you know, they're their differences between

1239
01:10:17,920 --> 01:10:21,000
Speaker 1: men and women. And I just note that you have

1240
01:10:21,080 --> 01:10:23,680
Speaker 1: some really unfunny women that keep being put forward. Is

1241
01:10:23,720 --> 01:10:25,320
Speaker 1: like the thing, what's who is the one from the

1242
01:10:25,720 --> 01:10:29,040
Speaker 1: HBO show Girls, which I did watch a couple of

1243
01:10:29,080 --> 01:10:32,839
Speaker 1: episodes of just for cultural as like a cultural touchdown reference.

1244
01:10:32,960 --> 01:10:39,080
Speaker 1: You know, Lena Dunham, Who's who's really like a yeah,

1245
01:10:39,120 --> 01:10:43,479
Speaker 1: it's it's like, I don't know, some kind of goblin

1246
01:10:43,560 --> 01:10:47,320
Speaker 1: from hell like over over overtook some of the HBO

1247
01:10:47,439 --> 01:10:50,479
Speaker 1: staff and made them think something crazy. It was just terrible.

1248
01:10:51,439 --> 01:10:54,640
Speaker 1: It was awful. It was a really depressing show. She

1249
01:10:54,880 --> 01:10:57,680
Speaker 1: is gross. It's not funny. They keep doing this, but

1250
01:10:57,720 --> 01:11:02,000
Speaker 1: so Mindy Kaling is blaming the bad reviews for Oceans

1251
01:11:02,120 --> 01:11:07,280
Speaker 1: eight on quote white male critics. You know, do we

1252
01:11:07,400 --> 01:11:09,800
Speaker 1: have to be the punching bag for everything? Now? Like?

1253
01:11:09,880 --> 01:11:14,559
Speaker 1: Is this really everything? Oh? White privilege? You know, I'm

1254
01:11:14,560 --> 01:11:17,000
Speaker 1: sure I haven't seen the movie. To be fair, I

1255
01:11:17,080 --> 01:11:22,439
Speaker 1: guarantee it sucks. I guarantee it sucks. A movie that's based,

1256
01:11:22,600 --> 01:11:26,000
Speaker 1: you know, a movie that is a remake of all

1257
01:11:26,080 --> 01:11:27,920
Speaker 1: women doing what all guys are doing in the movie

1258
01:11:27,960 --> 01:11:30,080
Speaker 1: is not necessarily a good idea. It was not good

1259
01:11:30,080 --> 01:11:34,080
Speaker 1: in Ghostbusters. I'm sure this movie is total trash. Men

1260
01:11:34,120 --> 01:11:36,280
Speaker 1: and women tend to have different kinds of relationships with

1261
01:11:36,320 --> 01:11:41,760
Speaker 1: each other. Patterning a movie that's like a bro comedy essentially,

1262
01:11:41,920 --> 01:11:45,160
Speaker 1: which is not what Oceans eleven is, but patterning movie

1263
01:11:45,200 --> 01:11:48,680
Speaker 1: that's all about you know, guys being slick doing it

1264
01:11:48,720 --> 01:11:52,920
Speaker 1: with women. It's just it's not a good concept. Um

1265
01:11:53,520 --> 01:11:56,040
Speaker 1: and uh, you know it has a sixty percent of

1266
01:11:56,120 --> 01:11:59,679
Speaker 1: Rotten Tomatoes and that's with the social justice bounce, because

1267
01:11:59,680 --> 01:12:01,760
Speaker 1: you know, social justice stuff will get your you know,

1268
01:12:01,800 --> 01:12:04,360
Speaker 1: people will love your movie. And and that's why you

1269
01:12:04,439 --> 01:12:06,840
Speaker 1: saw stuff in the movie with the woman who has

1270
01:12:06,920 --> 01:12:10,000
Speaker 1: who has sex with the aquarium pet, which one best

1271
01:12:10,000 --> 01:12:17,160
Speaker 1: picture what's it called? Shape of Water? Really just horrifyingly

1272
01:12:17,240 --> 01:12:22,360
Speaker 1: bad movie, not not interesting, not good, super weird. And

1273
01:12:22,400 --> 01:12:24,680
Speaker 1: the guy who's the main bad guy, who's like this

1274
01:12:24,720 --> 01:12:27,200
Speaker 1: square jawed government guy might as well have just had

1275
01:12:27,240 --> 01:12:29,559
Speaker 1: a a maga had on the whole time, you know,

1276
01:12:30,320 --> 01:12:32,559
Speaker 1: I mean, look, he was trying to this The thing

1277
01:12:32,640 --> 01:12:36,439
Speaker 1: is like a giant seriously, it's like the creature from

1278
01:12:36,439 --> 01:12:39,400
Speaker 1: the Blue Lagoon, but it looks like a giant mutant

1279
01:12:39,680 --> 01:12:42,680
Speaker 1: frog and a swamp rat had some kind of you know,

1280
01:12:42,880 --> 01:12:48,200
Speaker 1: cross genetic and it's like can eat people. It's got

1281
01:12:48,240 --> 01:12:49,920
Speaker 1: sharp claws. Who what do you want to take that

1282
01:12:49,960 --> 01:12:53,400
Speaker 1: thing out? It's scary. But he's the bad guy, you know,

1283
01:12:53,439 --> 01:12:55,759
Speaker 1: he's just there with this red maga hat on. Basically,

1284
01:12:55,800 --> 01:12:58,400
Speaker 1: you know, I don't like this sea monster. I don't

1285
01:12:58,439 --> 01:13:02,599
Speaker 1: like sea monsters either, dude, sea monsters are scary. So

1286
01:13:02,640 --> 01:13:05,400
Speaker 1: the Oceans eight, Oceans eight is I'm sure garbage and

1287
01:13:05,439 --> 01:13:08,200
Speaker 1: I will not watch it because I know that it

1288
01:13:08,280 --> 01:13:10,200
Speaker 1: is garbage. And then you could say that's a stubborn

1289
01:13:10,200 --> 01:13:12,040
Speaker 1: and pig headed thing to say. But I am a guy,

1290
01:13:12,400 --> 01:13:16,080
Speaker 1: and sometimes we're stubborn and pig headed. Sometimes that happens. See,

1291
01:13:16,120 --> 01:13:18,799
Speaker 1: I accept that. I accept that there's some male traits

1292
01:13:18,800 --> 01:13:21,120
Speaker 1: that are common to all of us. I will try

1293
01:13:21,160 --> 01:13:23,880
Speaker 1: to watch John. Have you seen Cobra Kai? Did you

1294
01:13:23,880 --> 01:13:25,640
Speaker 1: see it too? Mike? What's give me the we got?

1295
01:13:25,720 --> 01:13:27,880
Speaker 1: We got like a thirty second window here for a

1296
01:13:27,920 --> 01:13:31,280
Speaker 1: Cobra Kai review. I thought it was really good. Actually, yeah,

1297
01:13:31,479 --> 01:13:33,160
Speaker 1: I like the way they did uh they tied it

1298
01:13:33,200 --> 01:13:35,840
Speaker 1: in with the old one and did some flashbacks. Thought

1299
01:13:36,080 --> 01:13:38,639
Speaker 1: two episodes in and it works so far. I'm excited.

1300
01:13:38,640 --> 01:13:40,760
Speaker 1: I'm gonna check it out this weekend. Alright, Cobra Kai

1301
01:13:40,880 --> 01:13:42,200
Speaker 1: on top of the I know I've been saying for while,

1302
01:13:42,240 --> 01:13:44,360
Speaker 1: I'm gonna watch it, but I don't have it. I

1303
01:13:44,400 --> 01:13:45,960
Speaker 1: don't have a TV and I didn't even have internet

1304
01:13:45,960 --> 01:13:47,960
Speaker 1: access in d C in my home, so I really

1305
01:13:47,960 --> 01:13:50,000
Speaker 1: have no time. And I'm working like fifteen hours a

1306
01:13:50,080 --> 01:13:52,559
Speaker 1: day like some sort of I'm like one of these

1307
01:13:52,560 --> 01:13:56,200
Speaker 1: people that was, you know, making shoelaces fifteen hours a

1308
01:13:56,240 --> 01:13:58,599
Speaker 1: day util their fingers turned like bloody and numb, except

1309
01:13:58,640 --> 01:14:02,000
Speaker 1: I'm doing it with digital radio and video content. I know,

1310
01:14:02,080 --> 01:14:05,080
Speaker 1: woe is me? Right Uh? Third hour, third hour coming

1311
01:14:05,160 --> 01:14:07,960
Speaker 1: up there, right there. Information is power, And if you

1312
01:14:08,000 --> 01:14:11,920
Speaker 1: want the best information on prospective hires, on somebody that

1313
01:14:12,000 --> 01:14:15,280
Speaker 1: might be leasing a property from you, a new tenant,

1314
01:14:15,720 --> 01:14:19,599
Speaker 1: or a business partner in a major transaction, you need

1315
01:14:19,600 --> 01:14:22,759
Speaker 1: the best in background investigations and vetting. That's where Global

1316
01:14:22,840 --> 01:14:26,519
Speaker 1: Verification Network comes in. They are federally certified as a

1317
01:14:26,600 --> 01:14:30,719
Speaker 1: veteran owned small business. They're headquartered in Chicago. They don't

1318
01:14:30,960 --> 01:14:33,240
Speaker 1: send your stuff overseas. A lot of the big players

1319
01:14:33,240 --> 01:14:35,720
Speaker 1: in this space, folks, they say that they've got this

1320
01:14:35,760 --> 01:14:38,760
Speaker 1: big name behind it, but it gets the information and

1321
01:14:38,800 --> 01:14:40,800
Speaker 1: the case work is done by people who aren't even

1322
01:14:40,920 --> 01:14:43,320
Speaker 1: US based. Do you think that if there's a if

1323
01:14:43,320 --> 01:14:45,439
Speaker 1: there's an intrusion into their server, or if there's some

1324
01:14:45,479 --> 01:14:47,200
Speaker 1: problem with the case, you're gonna be able to reach

1325
01:14:47,240 --> 01:14:49,120
Speaker 1: them quickly. You're gonna be able to notify quickly. I

1326
01:14:49,120 --> 01:14:52,479
Speaker 1: don't think so. Go to Global Verification Network. Just check

1327
01:14:52,520 --> 01:14:55,719
Speaker 1: them out. Call them eight seven seven six nine five

1328
01:14:56,040 --> 01:14:59,920
Speaker 1: one one seven nine again eight seven seven six one

1329
01:15:00,040 --> 01:15:03,720
Speaker 1: seven nine or my g v N. That's my g

1330
01:15:03,960 --> 01:15:07,000
Speaker 1: VN dot com. Well, we're here at our three my

1331
01:15:07,120 --> 01:15:10,080
Speaker 1: friends before we kick off the weekend. We've got some

1332
01:15:10,120 --> 01:15:18,439
Speaker 1: things to discuss. For example, progressivism isn't coherent. It's loud,

1333
01:15:18,560 --> 01:15:23,200
Speaker 1: it's angry. It wants to impose itself on all of us.

1334
01:15:23,200 --> 01:15:29,439
Speaker 1: But it doesn't actually make sense. It's not defensible if

1335
01:15:29,479 --> 01:15:32,040
Speaker 1: you apply reason and logic to it. And we see

1336
01:15:32,040 --> 01:15:34,160
Speaker 1: this in a whole bunch of different things going on

1337
01:15:34,280 --> 01:15:38,160
Speaker 1: right now. One of them, and I've been saying that

1338
01:15:38,240 --> 01:15:40,519
Speaker 1: for a while this was just gonna become more and

1339
01:15:40,560 --> 01:15:44,800
Speaker 1: more common. Is that? Uh? The two so so so

1340
01:15:44,880 --> 01:15:46,680
Speaker 1: producer Mike, I've got I've got a question for you,

1341
01:15:46,760 --> 01:15:55,600
Speaker 1: sir um. The Connecticut High School Interscholastic Athletic Conference allows

1342
01:15:55,760 --> 01:16:01,360
Speaker 1: now transgender athletes, and so you are allowed to now

1343
01:16:01,400 --> 01:16:04,600
Speaker 1: be a a biological which I even object to these

1344
01:16:04,680 --> 01:16:09,679
Speaker 1: terms of biological male who competes against females. So there

1345
01:16:09,760 --> 01:16:14,920
Speaker 1: are two biological males that compete in track and field

1346
01:16:15,400 --> 01:16:19,120
Speaker 1: in different different, different track events in the state of

1347
01:16:19,120 --> 01:16:22,040
Speaker 1: Connecticut right now, who do you think won the state

1348
01:16:22,120 --> 01:16:25,920
Speaker 1: championship by a very wide margin this year. I know

1349
01:16:26,000 --> 01:16:27,479
Speaker 1: this is an easy question, but I just I just

1350
01:16:27,520 --> 01:16:29,519
Speaker 1: want to get producer Bike involved. Who who do you

1351
01:16:29,520 --> 01:16:32,280
Speaker 1: think one? Yes, so the men had to win by

1352
01:16:32,360 --> 01:16:36,400
Speaker 1: like a little or a lot, by a lot because

1353
01:16:37,040 --> 01:16:40,720
Speaker 1: dudes are faster than ladies, right, we all know this.

1354
01:16:41,720 --> 01:16:43,920
Speaker 1: Why do people pretend like this is in any way

1355
01:16:44,400 --> 01:16:48,880
Speaker 1: not something that we already know? And how is this fair?

1356
01:16:49,680 --> 01:16:52,400
Speaker 1: If if I put on a wig and said that

1357
01:16:52,439 --> 01:16:56,080
Speaker 1: I felt female and were to compete at the D

1358
01:16:56,160 --> 01:16:59,400
Speaker 1: three level, I would have been an animal on the

1359
01:16:59,400 --> 01:17:03,200
Speaker 1: sports field. Okay, I actually used to play in because

1360
01:17:03,200 --> 01:17:05,439
Speaker 1: we used to in the off season. We would play

1361
01:17:05,560 --> 01:17:08,120
Speaker 1: like mixed games of of you know, male and female

1362
01:17:08,200 --> 01:17:11,840
Speaker 1: basketball with girls from the team male female soccer with

1363
01:17:12,439 --> 01:17:15,960
Speaker 1: and like the guys took it easy, I mean, and

1364
01:17:16,000 --> 01:17:18,080
Speaker 1: we weren't even on the team necessarily, like you know,

1365
01:17:18,080 --> 01:17:19,200
Speaker 1: some of us were on the team, some of them

1366
01:17:19,200 --> 01:17:22,160
Speaker 1: were on the basketball teams on the ward and like,

1367
01:17:22,200 --> 01:17:25,360
Speaker 1: this is just crazy, It doesn't make any sense. We're

1368
01:17:25,360 --> 01:17:28,320
Speaker 1: gonna pretend that there's not a huge advantage of having

1369
01:17:28,520 --> 01:17:30,400
Speaker 1: x Y chromosome at every cell in your body with

1370
01:17:30,560 --> 01:17:33,680
Speaker 1: that to have testosterone versus higher levels of estrogen, all

1371
01:17:33,680 --> 01:17:38,559
Speaker 1: this stuff. It it's crazy, but here we are. I mean,

1372
01:17:38,720 --> 01:17:40,720
Speaker 1: could you imagine, like imagine you had a daughter that

1373
01:17:40,760 --> 01:17:43,160
Speaker 1: was training all the time for high school track championship

1374
01:17:43,479 --> 01:17:46,920
Speaker 1: and a a a biological no, I forgot a male

1375
01:17:47,680 --> 01:17:49,280
Speaker 1: gott you know, got up next door, and then you'll

1376
01:17:49,320 --> 01:17:53,160
Speaker 1: have to clap and cheer for this. This is what's happening.

1377
01:17:54,520 --> 01:17:58,280
Speaker 1: It's absolutely insane, and we all we all know that

1378
01:17:58,360 --> 01:18:01,320
Speaker 1: this is where it's all going, and we're supposed to

1379
01:18:01,520 --> 01:18:05,280
Speaker 1: like celebrate this. I mean, I I always point this out.

1380
01:18:05,520 --> 01:18:09,200
Speaker 1: They I used to use as the example that what

1381
01:18:09,320 --> 01:18:11,519
Speaker 1: happens when we want to have somebody who's a a

1382
01:18:11,760 --> 01:18:14,960
Speaker 1: male m m A fighter who wants to compete as

1383
01:18:14,960 --> 01:18:18,799
Speaker 1: a female, and that actually happened and it was super

1384
01:18:18,880 --> 01:18:24,040
Speaker 1: dangerous for those women, Like these are biological realities, and

1385
01:18:24,080 --> 01:18:28,280
Speaker 1: we keep running into this, uh ah, we keep running

1386
01:18:28,280 --> 01:18:31,439
Speaker 1: into this nonsense from the left on it. And what

1387
01:18:31,560 --> 01:18:33,920
Speaker 1: we used to use as the extreme examples to show

1388
01:18:33,920 --> 01:18:37,280
Speaker 1: how crazy they are, they now embraces Oh no, that's okay, Yeah,

1389
01:18:37,320 --> 01:18:40,559
Speaker 1: we'll do that. Let's let's have men. Let's have men

1390
01:18:40,640 --> 01:18:44,519
Speaker 1: fighting women because they think they're women, which is what's

1391
01:18:44,560 --> 01:18:48,080
Speaker 1: going on here. And I will note that they are

1392
01:18:49,360 --> 01:18:52,519
Speaker 1: not saying that there's any biological deture. So it's not

1393
01:18:52,640 --> 01:18:54,640
Speaker 1: about you know, oh, I have a higher level of

1394
01:18:54,760 --> 01:18:58,280
Speaker 1: estrogen or I was born with you know, both sets

1395
01:18:58,320 --> 01:19:02,600
Speaker 1: of equipment, so to speak, because families show it's not

1396
01:19:02,720 --> 01:19:06,720
Speaker 1: that this is just deciding that you're you're and you know.

1397
01:19:06,760 --> 01:19:09,800
Speaker 1: So now that the number one and number two high

1398
01:19:09,800 --> 01:19:13,200
Speaker 1: school track champions in the state of Connecticut are biological

1399
01:19:13,200 --> 01:19:16,479
Speaker 1: males running against females. I think that's also one of

1400
01:19:16,520 --> 01:19:20,479
Speaker 1: the things with progressivism that we as conservatives sometimes laugh at,

1401
01:19:20,760 --> 01:19:23,400
Speaker 1: is that when I remember when first hearing about this

1402
01:19:23,720 --> 01:19:26,519
Speaker 1: and thinking like that will never never happen exactly we're

1403
01:19:26,520 --> 01:19:28,679
Speaker 1: now would never happen territory all the time, And now

1404
01:19:28,720 --> 01:19:32,800
Speaker 1: it's happening. It's happening all the time another place. So

1405
01:19:32,880 --> 01:19:34,800
Speaker 1: that that's just one and I saw this and I

1406
01:19:34,920 --> 01:19:40,280
Speaker 1: just had to stop and think to myself, poof, you know, when,

1407
01:19:40,280 --> 01:19:42,000
Speaker 1: when when do we get to put a stop to this?

1408
01:19:42,160 --> 01:19:46,960
Speaker 1: When do we get to say, CNN apples and bananas, right,

1409
01:19:47,000 --> 01:19:49,559
Speaker 1: that's their whole thing, apples and bananas. They had a

1410
01:19:50,439 --> 01:19:52,680
Speaker 1: which and I love the President called them out and

1411
01:19:52,720 --> 01:19:55,960
Speaker 1: said CNN is a total fraud. This president is amazing.

1412
01:19:56,400 --> 01:20:01,520
Speaker 1: He really is. You know, I I any any hesitation

1413
01:20:01,680 --> 01:20:04,120
Speaker 1: or critique I really ever had about the guy, I

1414
01:20:03,880 --> 01:20:07,679
Speaker 1: I I formally retract. Okay, he's he's completely freaking amazing.

1415
01:20:08,520 --> 01:20:12,519
Speaker 1: Uh he yeah. He he points out that they're that

1416
01:20:12,560 --> 01:20:15,400
Speaker 1: they're complete frauds and and CNN is full of frauds. Oh,

1417
01:20:15,439 --> 01:20:18,880
Speaker 1: here it is. This is a CNN headline from today.

1418
01:20:19,439 --> 01:20:24,960
Speaker 1: He gave birth, he breastfed. Now he wants his son

1419
01:20:25,040 --> 01:20:29,880
Speaker 1: to see him as a man. No, these are lies CNN.

1420
01:20:30,400 --> 01:20:33,719
Speaker 1: He did not give birth. He did not breastfeed because

1421
01:20:33,800 --> 01:20:37,599
Speaker 1: he can't do that because he is a woman. And

1422
01:20:37,800 --> 01:20:39,360
Speaker 1: you know, it's one thing if we want to say

1423
01:20:39,400 --> 01:20:41,840
Speaker 1: for the for the purposes of politeness, this was a

1424
01:20:41,840 --> 01:20:44,400
Speaker 1: headline from today. I'm not I'm not like going into

1425
01:20:44,400 --> 01:20:49,240
Speaker 1: the archives here apples and bananas. CNN not good at

1426
01:20:49,280 --> 01:20:52,000
Speaker 1: separating it, separating out apples from bananas. It's funny that

1427
01:20:52,000 --> 01:20:55,439
Speaker 1: that's their mantra um. And they've also I think that

1428
01:20:55,479 --> 01:20:58,240
Speaker 1: there's a recognition over there. You know, it's so funny.

1429
01:20:58,240 --> 01:21:01,439
Speaker 1: I saw today, Uh you know, here in the city

1430
01:21:01,960 --> 01:21:06,280
Speaker 1: a a Fox News bus or not not a bus

1431
01:21:06,320 --> 01:21:08,840
Speaker 1: for Fox News, but on on a bus a Fox

1432
01:21:08,880 --> 01:21:12,759
Speaker 1: News banner and it said news and opinion, like news

1433
01:21:12,760 --> 01:21:14,519
Speaker 1: on one side, and you had Brett bar and a

1434
01:21:14,520 --> 01:21:17,080
Speaker 1: few other people you know, Uh, I think, um, chef,

1435
01:21:17,520 --> 01:21:20,040
Speaker 1: and then you had opinion on the other. That's just

1436
01:21:20,080 --> 01:21:22,559
Speaker 1: being honest, Okay. These guys are really trying to present

1437
01:21:22,640 --> 01:21:25,200
Speaker 1: just a newscast with other people presenting opinions on it

1438
01:21:25,600 --> 01:21:28,400
Speaker 1: versus people who are straight up opinion. CNN doesn't believe

1439
01:21:28,400 --> 01:21:31,160
Speaker 1: that any of their hosts are opinion hosts, which is

1440
01:21:31,200 --> 01:21:35,679
Speaker 1: a lie, right, Jake Tapper lying, Anderson Cooper lying, they're lying.

1441
01:21:36,200 --> 01:21:39,439
Speaker 1: They are opinion hosts who are also doing news, right,

1442
01:21:39,520 --> 01:21:41,519
Speaker 1: So why don't they just be honest about it instead

1443
01:21:41,520 --> 01:21:44,479
Speaker 1: of this? But then you see it filters down all

1444
01:21:44,520 --> 01:21:48,599
Speaker 1: the way through all the rest of of their their

1445
01:21:48,600 --> 01:21:53,280
Speaker 1: website and everything else. He gave birth, he breastfed. No, No,

1446
01:21:53,400 --> 01:21:57,040
Speaker 1: these are not true things. These are these are lies.

1447
01:21:58,320 --> 01:22:01,080
Speaker 1: And I just can't help but notice that the the

1448
01:22:01,080 --> 01:22:05,160
Speaker 1: the lies are becoming more mendacious, uh, and they're getting

1449
01:22:05,320 --> 01:22:09,640
Speaker 1: more aggressive. Um. And so that's why I just I

1450
01:22:09,880 --> 01:22:14,920
Speaker 1: point out the the incoherence of their positions because it's

1451
01:22:15,120 --> 01:22:17,560
Speaker 1: it's it's indefensible the things that they say that the

1452
01:22:17,720 --> 01:22:21,559
Speaker 1: positions they're taking in defensible, and yet they they will

1453
01:22:21,640 --> 01:22:24,320
Speaker 1: try and and defend them and actually go on the attack.

1454
01:22:25,000 --> 01:22:27,439
Speaker 1: If you were to say to anybody at CNN that

1455
01:22:27,720 --> 01:22:29,880
Speaker 1: he did not breastfeed, he did not give birth, that

1456
01:22:30,040 --> 01:22:34,680
Speaker 1: is literally biologically impossible, they'd say, why are you so insensitive?

1457
01:22:34,680 --> 01:22:36,640
Speaker 1: Why are you so mean? Why are you such a

1458
01:22:36,640 --> 01:22:40,959
Speaker 1: bad person. I'm like, can we just live in reality

1459
01:22:41,000 --> 01:22:44,240
Speaker 1: here for a second, But no, that they won't let

1460
01:22:44,320 --> 01:22:46,640
Speaker 1: us live in reality. They would rather go through this, uh,

1461
01:22:46,680 --> 01:22:51,439
Speaker 1: this pretense. And they are deluding their audience too. They

1462
01:22:51,439 --> 01:22:53,599
Speaker 1: are not presenting them with facts. When you were saying that,

1463
01:22:53,960 --> 01:22:55,880
Speaker 1: you know, men should be able to run against women

1464
01:22:55,920 --> 01:22:57,920
Speaker 1: and pretend that they're women in attract meat, that is

1465
01:22:57,960 --> 01:23:02,040
Speaker 1: not factual. That is not an honest position. Uh, And

1466
01:23:02,040 --> 01:23:05,559
Speaker 1: and not understand that there's a massive biological advantage for

1467
01:23:05,720 --> 01:23:09,920
Speaker 1: those competitors. And when you say that a female who

1468
01:23:09,960 --> 01:23:14,200
Speaker 1: had a baby is a male and therefore like this

1469
01:23:14,240 --> 01:23:16,519
Speaker 1: is not the way it works, folks, As you all know,

1470
01:23:16,600 --> 01:23:19,400
Speaker 1: this is the most basic stuff. But while they're trying

1471
01:23:19,439 --> 01:23:21,720
Speaker 1: to lecture us about Trump and and you know, a

1472
01:23:21,720 --> 01:23:25,320
Speaker 1: fib here or an exaggeration there, they skip over. These

1473
01:23:25,320 --> 01:23:28,479
Speaker 1: are big lies. That there's no difference between men and

1474
01:23:28,520 --> 01:23:31,559
Speaker 1: women really is a big lie. Then in fact, they

1475
01:23:31,640 --> 01:23:34,920
Speaker 1: try to negate the very real differences as a matter

1476
01:23:34,960 --> 01:23:37,640
Speaker 1: of policy, as a matter of science. These are the

1477
01:23:37,720 --> 01:23:40,760
Speaker 1: kind of lies that are scary because it's an inversion

1478
01:23:40,880 --> 01:23:43,640
Speaker 1: of some of the most basic truths in our society,

1479
01:23:44,000 --> 01:23:47,200
Speaker 1: and a subversion of them really, and that becomes dangerous

1480
01:23:47,240 --> 01:23:51,080
Speaker 1: after a while. This is not opinion stuff, this is

1481
01:23:51,120 --> 01:23:55,360
Speaker 1: fact stuff, and they are in no position the mainstream,

1482
01:23:55,360 --> 01:23:56,920
Speaker 1: it is in no position to lecture the rest of

1483
01:23:56,960 --> 01:24:00,160
Speaker 1: us on facts. When they literally, when they actually try

1484
01:24:00,200 --> 01:24:02,240
Speaker 1: not to use the word literally too much, they actually

1485
01:24:02,720 --> 01:24:06,000
Speaker 1: will not separate male from female. Honestly, that's a big problem.

1486
01:24:06,040 --> 01:24:09,760
Speaker 1: But also racism. Racism is something that the left likes

1487
01:24:09,760 --> 01:24:14,160
Speaker 1: to talk about. Racism is a constant topic of discussion

1488
01:24:14,240 --> 01:24:18,240
Speaker 1: for them. But you know what, the only place that

1489
01:24:18,280 --> 01:24:22,960
Speaker 1: I'm aware of right now that is a revered institution

1490
01:24:23,720 --> 01:24:27,760
Speaker 1: that has tremendous not just national but global respect that

1491
01:24:27,920 --> 01:24:32,759
Speaker 1: is engaged in racism is Harvard University. Overt racism at Harvard.

1492
01:24:33,040 --> 01:24:35,719
Speaker 1: How I'll tell you about it in just a moment.

1493
01:24:36,920 --> 01:24:39,800
Speaker 1: I'm making converts down in d C I'm getting people

1494
01:24:39,880 --> 01:24:43,719
Speaker 1: to ditch the Comi coffee and join the coffee freedom

1495
01:24:43,800 --> 01:24:48,320
Speaker 1: revolution with Black Rifle Coffee. These guys are awesome and

1496
01:24:48,360 --> 01:24:51,360
Speaker 1: their coffee is delicious. You should check it out for yourself.

1497
01:24:51,520 --> 01:24:54,240
Speaker 1: Go to Black Rifle Coffee dot com slash buck. When

1498
01:24:54,280 --> 01:24:57,360
Speaker 1: you go, you'll see for yourself that they have a

1499
01:24:57,560 --> 01:25:02,080
Speaker 1: Freedom Blend Coffee rounds option. They've got really nice, high

1500
01:25:02,200 --> 01:25:05,400
Speaker 1: quality t shirts to rep the brand. They've got Freedom

1501
01:25:05,439 --> 01:25:08,479
Speaker 1: Blend Coffee. You can buy ground, you can buy whole being,

1502
01:25:08,920 --> 01:25:12,559
Speaker 1: all kinds of different hats and mugs and gear. Black

1503
01:25:12,680 --> 01:25:14,920
Speaker 1: Rifle Coffee dot com slash buck. Make sure you type

1504
01:25:14,920 --> 01:25:18,599
Speaker 1: in the coupon code Buck fifteen at checkout for fifteen

1505
01:25:18,600 --> 01:25:20,880
Speaker 1: percent off. It also gives a little high five to

1506
01:25:20,920 --> 01:25:22,679
Speaker 1: my friends of Black Rifle, lets them know the team

1507
01:25:22,680 --> 01:25:26,280
Speaker 1: Buck is supporting this brand and supporting this coffee. These

1508
01:25:26,280 --> 01:25:28,280
Speaker 1: guys have been with me from the earliest days. I

1509
01:25:28,360 --> 01:25:31,479
Speaker 1: really appreciate that they are a real partner. They've got

1510
01:25:31,560 --> 01:25:34,160
Speaker 1: amazing coffee. I drink it every day. You should to

1511
01:25:34,360 --> 01:25:40,560
Speaker 1: Black Rifle Coffee dot com, slash buck. Harvard is racist.

1512
01:25:42,240 --> 01:25:44,960
Speaker 1: The true statement, Mike, the true statement. Let me tell

1513
01:25:45,000 --> 01:25:48,080
Speaker 1: you why UM and By the way, I'm sure amerst

1514
01:25:48,160 --> 01:25:49,519
Speaker 1: is racist too. I mean, I'm not. I'm not just

1515
01:25:49,600 --> 01:25:52,439
Speaker 1: picking on Harvard. I mean my my school was. It

1516
01:25:52,560 --> 01:25:56,479
Speaker 1: presents itself as this very academically serious, preppy enclave in

1517
01:25:56,600 --> 01:25:59,200
Speaker 1: in the center of Massachusetts, but in reality it's just

1518
01:25:59,280 --> 01:26:05,880
Speaker 1: been come completely overrun by crazy progressives, more open Marxists

1519
01:26:06,000 --> 01:26:08,760
Speaker 1: on the Amorst College faculty than they're working than there

1520
01:26:08,760 --> 01:26:12,840
Speaker 1: were Republicans. Let's think about that Marxist buddy. I'm not

1521
01:26:12,880 --> 01:26:16,559
Speaker 1: talking like, oh, you know, Bernie Sanders, democrats, socialism, like

1522
01:26:16,680 --> 01:26:21,519
Speaker 1: straight up Marxist class struggle revolutionaries on the faculty espousing

1523
01:26:21,560 --> 01:26:26,640
Speaker 1: that crap to students. Anyway, here's this piece and and

1524
01:26:26,680 --> 01:26:29,000
Speaker 1: it's making us way through the court. So remember the

1525
01:26:29,000 --> 01:26:31,000
Speaker 1: press was saying, oh, we're talking about this, Yeah, but

1526
01:26:31,800 --> 01:26:34,479
Speaker 1: they have to report on it because it is news.

1527
01:26:34,520 --> 01:26:38,440
Speaker 1: But they don't take the necessary next step of continuing

1528
01:26:38,479 --> 01:26:41,679
Speaker 1: to follow up on this and inundate the coverage because

1529
01:26:41,680 --> 01:26:43,800
Speaker 1: there's a big story. This is not a little thing.

1530
01:26:44,800 --> 01:26:49,680
Speaker 1: This is from the New York Times today. Harvard consistently

1531
01:26:49,840 --> 01:26:55,160
Speaker 1: rated Asian American applicants lower than others on traits like

1532
01:26:55,400 --> 01:27:04,320
Speaker 1: positive personality, likability, courage, kindness and being widely respected. According

1533
01:27:04,360 --> 01:27:07,040
Speaker 1: to an analysis of more than a hundred and sixty

1534
01:27:07,200 --> 01:27:11,719
Speaker 1: thousand student records filed by a group representing Asian American

1535
01:27:11,800 --> 01:27:16,360
Speaker 1: students in a lawsuit against the university, Asian Americans scored

1536
01:27:16,439 --> 01:27:19,200
Speaker 1: higher than applicants of any other racial or ethnic group

1537
01:27:19,200 --> 01:27:22,920
Speaker 1: on admissions measures like test scores, grades, and extracurriculars, according

1538
01:27:22,920 --> 01:27:26,960
Speaker 1: to the analysis, but the students personal ratings significantly dragged

1539
01:27:27,000 --> 01:27:32,560
Speaker 1: down their chances of being admitted. This is that's the

1540
01:27:32,640 --> 01:27:35,880
Speaker 1: end of the quote. This is incredible. So, Mike, what

1541
01:27:35,920 --> 01:27:39,639
Speaker 1: they're doing here, what Harvard does now, is they because

1542
01:27:39,680 --> 01:27:42,080
Speaker 1: they have this quote holistic because they can't have quotas.

1543
01:27:42,720 --> 01:27:45,559
Speaker 1: That's actually not that's actually against the law. The Supreme

1544
01:27:45,600 --> 01:27:48,000
Speaker 1: Court and Grutter, I think it was Grutter v. Bollinger

1545
01:27:48,120 --> 01:27:51,280
Speaker 1: was the case said you can't use quotas. We're not

1546
01:27:51,320 --> 01:27:55,360
Speaker 1: okay with that, but you can take a holistic approach. Well,

1547
01:27:55,360 --> 01:27:59,000
Speaker 1: the problem with the holistic approach is that looking at

1548
01:27:59,040 --> 01:28:02,960
Speaker 1: the applicants applicant pool, based on the observable metrics grades,

1549
01:28:03,120 --> 01:28:08,960
Speaker 1: s A T scores, extracurriculars, Asians dramatically outperform as a group.

1550
01:28:09,040 --> 01:28:13,719
Speaker 1: The rest of the ethnices. Asians dramatically outperform white students

1551
01:28:13,920 --> 01:28:17,160
Speaker 1: as a group of applicants, particularly on SA T S

1552
01:28:17,200 --> 01:28:20,760
Speaker 1: and and the most objective metrics that we have. So

1553
01:28:20,800 --> 01:28:23,439
Speaker 1: what do they do? The admissions committee at Harvard is

1554
01:28:23,479 --> 01:28:28,280
Speaker 1: straight up saying Asians are boring and don't have leadership skills,

1555
01:28:28,320 --> 01:28:30,000
Speaker 1: so we're going to take other people in place of

1556
01:28:30,000 --> 01:28:32,120
Speaker 1: them under our holistic metrics. You know what makes us

1557
01:28:32,160 --> 01:28:36,040
Speaker 1: even more interesting. They're doing that without meeting the Asian

1558
01:28:36,080 --> 01:28:40,960
Speaker 1: students and a vast majority of the cases, so Harvard uses, hey,

1559
01:28:41,000 --> 01:28:44,720
Speaker 1: the Asian students are boring and don't show leadership qualities

1560
01:28:45,200 --> 01:28:49,639
Speaker 1: as an excuse to take black, Hispanic, and white students

1561
01:28:50,200 --> 01:28:55,920
Speaker 1: instead of them. If if that is not racism, I

1562
01:28:56,000 --> 01:28:59,800
Speaker 1: don't know what is racism. If that doesn't qualify this

1563
01:29:00,200 --> 01:29:01,920
Speaker 1: since because they had to find a way to do

1564
01:29:02,000 --> 01:29:04,639
Speaker 1: this internally and try to make it seem of course,

1565
01:29:04,720 --> 01:29:07,479
Speaker 1: Harvard denies this, they said, it's not true whatever. But

1566
01:29:08,520 --> 01:29:10,240
Speaker 1: I can tell you this right now. I've had a

1567
01:29:10,240 --> 01:29:12,360
Speaker 1: couple of friends all in the admissions committees of very

1568
01:29:12,400 --> 01:29:16,880
Speaker 1: selective places. It is true. This is exactly what they do.

1569
01:29:17,360 --> 01:29:20,000
Speaker 1: And you see this even in all their instances you

1570
01:29:20,040 --> 01:29:22,280
Speaker 1: see this here in New York City. I've been telling

1571
01:29:22,320 --> 01:29:24,840
Speaker 1: you all listening about this case. You've the really the

1572
01:29:24,880 --> 01:29:28,320
Speaker 1: most elite in terms of s A T scores, which

1573
01:29:28,360 --> 01:29:30,240
Speaker 1: is not I know, a measure of everything, but the

1574
01:29:30,240 --> 01:29:32,160
Speaker 1: most elite high school in the country by s A

1575
01:29:32,240 --> 01:29:34,040
Speaker 1: T s is called Stubs in high school. It is

1576
01:29:34,160 --> 01:29:39,720
Speaker 1: seventy plus Asian. New York City public schools are not

1577
01:29:39,760 --> 01:29:42,719
Speaker 1: even close to seventy percent Asian. They're like fifteen percent

1578
01:29:42,880 --> 01:29:46,080
Speaker 1: or ten percent Asian. It's not even close, maybe, but

1579
01:29:46,120 --> 01:29:49,800
Speaker 1: it's like way, way, way lower than the seventy percent

1580
01:29:49,840 --> 01:29:52,920
Speaker 1: they represented. And they keep on trying to come up

1581
01:29:52,960 --> 01:29:56,720
Speaker 1: with some rationalization. But what are they gonna You're you're

1582
01:29:56,760 --> 01:29:59,719
Speaker 1: gonna have a holistic review process for a public school.

1583
01:29:59,760 --> 01:30:01,519
Speaker 1: I mean, that's just gonna You're gonna run into all

1584
01:30:01,640 --> 01:30:04,080
Speaker 1: kinds of lawsuits and favorite is um. Here's the problem

1585
01:30:04,080 --> 01:30:07,559
Speaker 1: the left has. They've created a narrative that white people

1586
01:30:07,680 --> 01:30:10,920
Speaker 1: unfairly benefit from American society and have gotten away with

1587
01:30:10,960 --> 01:30:13,360
Speaker 1: this for a long time. So they've been engaged in

1588
01:30:13,400 --> 01:30:16,000
Speaker 1: what a lot of people would call reverse discrimination. But

1589
01:30:16,040 --> 01:30:18,439
Speaker 1: they get away with it because people feel like, oh, well,

1590
01:30:18,479 --> 01:30:20,919
Speaker 1: you know, white people have it pretty easy, white privilege,

1591
01:30:20,960 --> 01:30:26,639
Speaker 1: all that stuff. But now average Asian household household income

1592
01:30:27,160 --> 01:30:32,640
Speaker 1: higher than average a average white household income. And the

1593
01:30:32,640 --> 01:30:35,800
Speaker 1: the group that is most overrepresented as a percentage of

1594
01:30:35,800 --> 01:30:40,000
Speaker 1: population at the most elite schools is Asians. It's not whites.

1595
01:30:41,560 --> 01:30:43,800
Speaker 1: So they haven't And this is what I meant, This

1596
01:30:43,840 --> 01:30:46,240
Speaker 1: is what I'm talking about, the incoherence of progressive is um.

1597
01:30:46,479 --> 01:30:48,720
Speaker 1: They don't have an answer or an excuse for this

1598
01:30:50,160 --> 01:30:53,320
Speaker 1: unless they're just gonna fully embrace quotas. But if they're

1599
01:30:53,320 --> 01:30:56,719
Speaker 1: going to embrace quotas, then they're eliminating merit, and then

1600
01:30:56,760 --> 01:30:59,760
Speaker 1: they're admitting that there's not actually merit in this process,

1601
01:31:00,360 --> 01:31:02,479
Speaker 1: and that changes the whole dynamic of what these elite

1602
01:31:02,520 --> 01:31:05,120
Speaker 1: schools really are all about, you know, because then you

1603
01:31:05,120 --> 01:31:07,880
Speaker 1: can look and say, well, you know where you you know,

1604
01:31:08,120 --> 01:31:10,000
Speaker 1: are you here because we needed more of X? Or

1605
01:31:10,120 --> 01:31:12,320
Speaker 1: you here because you're actually special? Right now, they tell

1606
01:31:12,360 --> 01:31:16,479
Speaker 1: everybody they're there because they're special. The reality is they're

1607
01:31:16,520 --> 01:31:19,639
Speaker 1: stacking the deck and doing stealth quotas. And the way

1608
01:31:19,680 --> 01:31:22,240
Speaker 1: they're doing stealth quotas is to straight up say, yeah,

1609
01:31:22,360 --> 01:31:25,519
Speaker 1: we think these Asian kids are boring. That's the Harvard

1610
01:31:25,880 --> 01:31:30,360
Speaker 1: University admissions process right now, they're boring without talking to

1611
01:31:30,439 --> 01:31:33,599
Speaker 1: them or meeting them. How they come And you'd say, well, buck,

1612
01:31:33,600 --> 01:31:35,280
Speaker 1: how could they do that? Well, you know they're doing

1613
01:31:35,280 --> 01:31:38,360
Speaker 1: it behind closed doors. They've been fighting tooth and nail

1614
01:31:38,439 --> 01:31:42,120
Speaker 1: to keep this data away from the public's eyes. By

1615
01:31:42,160 --> 01:31:44,160
Speaker 1: the way, if this were like, you know, if this

1616
01:31:44,200 --> 01:31:47,720
Speaker 1: were some kind of if they were a company and

1617
01:31:47,800 --> 01:31:49,639
Speaker 1: people found out, they'd be in all kinds of how

1618
01:31:49,680 --> 01:31:53,599
Speaker 1: we give such leeway to these campuses at Harvard has

1619
01:31:53,600 --> 01:31:56,639
Speaker 1: like a twenty some odd billion dollars endownmond. These are

1620
01:31:56,840 --> 01:32:01,720
Speaker 1: massive institutions, folks with a tremend this amount of influence

1621
01:32:01,960 --> 01:32:05,839
Speaker 1: in government, in private sector and every you know, especially

1622
01:32:05,920 --> 01:32:07,519
Speaker 1: a place like Harvard, but it's true of Yale and

1623
01:32:07,600 --> 01:32:11,960
Speaker 1: Stanford and all these different schools. They are gatekeepers, you know,

1624
01:32:12,040 --> 01:32:14,320
Speaker 1: they have They have a lot of sway in society,

1625
01:32:14,400 --> 01:32:17,040
Speaker 1: and for them to be engaged in this just goes

1626
01:32:17,080 --> 01:32:21,120
Speaker 1: to show you how deep the ideological rot of progressivism

1627
01:32:21,200 --> 01:32:26,559
Speaker 1: has gone. They're saying Asians are boring. Uh, it is

1628
01:32:27,200 --> 01:32:28,760
Speaker 1: a real wake up call for the rest of us

1629
01:32:28,800 --> 01:32:33,320
Speaker 1: that they're willing to be so blatantly discriminatory. And then

1630
01:32:33,360 --> 01:32:37,599
Speaker 1: trying to hide it. These this Asian American advocacy group

1631
01:32:37,600 --> 01:32:40,519
Speaker 1: that's suit Harvard. They're gonna win. They're gonna win. And

1632
01:32:40,680 --> 01:32:43,519
Speaker 1: this is how I think affirmative action finally comes tumbling down.

1633
01:32:43,640 --> 01:32:46,160
Speaker 1: This is how everyone realizes that you don't get to

1634
01:32:46,200 --> 01:32:50,519
Speaker 1: play the you know, historical grievances game and try to

1635
01:32:50,560 --> 01:32:53,640
Speaker 1: engage in this balancing of who's been the most oppressed

1636
01:32:53,680 --> 01:32:55,760
Speaker 1: and when were they oppressed and who gets you know,

1637
01:32:55,800 --> 01:32:57,960
Speaker 1: a leg up on somebody else because of skin color.

1638
01:32:58,240 --> 01:33:00,599
Speaker 1: That all has to go away. We've lived with it

1639
01:33:00,640 --> 01:33:04,040
Speaker 1: for too long as it is. The Supreme Court even

1640
01:33:04,120 --> 01:33:07,840
Speaker 1: set in the Grutter vy. Bollinger case, and it was

1641
01:33:07,840 --> 01:33:09,680
Speaker 1: Sandra Day O'Connor was like, at some point, we need

1642
01:33:09,720 --> 01:33:11,920
Speaker 1: to get rid of this. It just goes to show

1643
01:33:11,960 --> 01:33:16,000
Speaker 1: you what a weak, uh, what weak jurorsprudence is behind this.

1644
01:33:16,439 --> 01:33:18,479
Speaker 1: Think of another law that you're like, yeah, this is

1645
01:33:18,520 --> 01:33:21,320
Speaker 1: not really a good thing in the long term, but

1646
01:33:21,439 --> 01:33:23,800
Speaker 1: for right now, we're just gonna go with it. You

1647
01:33:23,800 --> 01:33:25,479
Speaker 1: think of some laws that are really bad, right do

1648
01:33:25,520 --> 01:33:29,000
Speaker 1: you think of No, I don't know, I gotta suspend

1649
01:33:29,000 --> 01:33:31,040
Speaker 1: Habeas corpus for a little while now, just because but

1650
01:33:31,040 --> 01:33:34,600
Speaker 1: I promise you we'll bring it back. The history of

1651
01:33:34,640 --> 01:33:37,240
Speaker 1: temporary the history of temporary law is a scary thing.

1652
01:33:37,280 --> 01:33:39,120
Speaker 1: I'm not saying it's always wrong, but I am saying

1653
01:33:39,120 --> 01:33:41,400
Speaker 1: it's not something we want to get too far into.

1654
01:33:41,800 --> 01:33:43,240
Speaker 1: I think that we're going to see this. I want

1655
01:33:43,240 --> 01:33:45,400
Speaker 1: the Trump administration to put more focus on the two

1656
01:33:45,960 --> 01:33:47,439
Speaker 1: and I want a lot of folks to know more

1657
01:33:47,439 --> 01:33:51,599
Speaker 1: about the fact that the discrimination against Asian Americans that's

1658
01:33:51,600 --> 01:33:56,000
Speaker 1: going on is what finally brings the spoiled, the racial

1659
01:33:56,120 --> 01:33:59,000
Speaker 1: spoil system, as Justice Scalia called it, This is what

1660
01:33:59,080 --> 01:34:00,920
Speaker 1: finally brings it tumbling down because they have no answer,

1661
01:34:01,000 --> 01:34:04,240
Speaker 1: they have no excuse, and what now there's Asian privilege?

1662
01:34:04,880 --> 01:34:07,479
Speaker 1: I don't think. So. We got a big roll call

1663
01:34:07,520 --> 01:34:19,080
Speaker 1: session coming up, team, So stay right there, team, It's

1664
01:34:19,200 --> 01:34:25,679
Speaker 1: time for roll call. Al Right, everybody, I'm up here

1665
01:34:25,720 --> 01:34:32,080
Speaker 1: in n Why See very much. Enjoying being back in

1666
01:34:32,160 --> 01:34:35,839
Speaker 1: my hometown. Gotta tell you, there's something something very special

1667
01:34:35,920 --> 01:34:39,320
Speaker 1: about this place, something very comforting. I walked out of

1668
01:34:40,080 --> 01:34:43,200
Speaker 1: Penn Station as producer Mike pointed out the right Penn

1669
01:34:43,200 --> 01:34:48,840
Speaker 1: station this time, not the one in Newark, which was

1670
01:34:48,960 --> 01:34:51,240
Speaker 1: quite a as a native New Yorker to get out

1671
01:34:51,240 --> 01:34:55,360
Speaker 1: in New Jersey by accident. That's just that's just wrong. Man.

1672
01:34:56,240 --> 01:34:58,360
Speaker 1: But I'll walk out and there's just this hustle and

1673
01:34:58,400 --> 01:35:01,759
Speaker 1: bustle of people in the streets and the honking cars

1674
01:35:01,800 --> 01:35:04,519
Speaker 1: and people yelling profanity out the window at each other

1675
01:35:04,560 --> 01:35:08,920
Speaker 1: and all all that stuff, and it just feels like home, John.

1676
01:35:09,360 --> 01:35:11,080
Speaker 1: It just feels like, oh man, I'm like, oh yes,

1677
01:35:11,200 --> 01:35:17,880
Speaker 1: I'm here. I smell that fumes of cars and pret

1678
01:35:17,920 --> 01:35:22,639
Speaker 1: souls and stale urine, you know, like that's that's my hometown. Baby.

1679
01:35:22,720 --> 01:35:25,280
Speaker 1: That's how we do it, all right, roll call time

1680
01:35:25,640 --> 01:35:28,960
Speaker 1: not just buck talking crazy talk time. Although I will

1681
01:35:29,000 --> 01:35:32,400
Speaker 1: say that we will um do a double roll call

1682
01:35:32,479 --> 01:35:35,240
Speaker 1: this week. That's always the not this week today. Sorry,

1683
01:35:35,560 --> 01:35:40,559
Speaker 1: that's always the plan. Bill is our first, our first

1684
01:35:40,640 --> 01:35:43,640
Speaker 1: victim in this roll call session. He writes, when you

1685
01:35:43,680 --> 01:35:46,600
Speaker 1: do Hillary's voice, it cracks me up. I think for

1686
01:35:46,680 --> 01:35:48,920
Speaker 1: about fifteen minutes a night, you can maybe pretend she

1687
01:35:49,000 --> 01:35:52,240
Speaker 1: is there and have a conversation with their Hi, bark,

1688
01:35:52,360 --> 01:35:56,320
Speaker 1: do you miss me? Um? I could probably people would

1689
01:35:56,320 --> 01:35:58,360
Speaker 1: think I've really lost it though I started walking around

1690
01:35:58,439 --> 01:36:01,400
Speaker 1: having a fake Hillary conversation myself. I think they would

1691
01:36:01,400 --> 01:36:03,840
Speaker 1: think that I lost it. I don't know, maybe, but

1692
01:36:03,840 --> 01:36:05,400
Speaker 1: I'm glad. I'm glad you like the Hillary wood. That's

1693
01:36:05,479 --> 01:36:08,559
Speaker 1: kind of a favorite among folks. You know. The Hillary

1694
01:36:08,640 --> 01:36:13,360
Speaker 1: voice is definitely something that people seem to be very, uh,

1695
01:36:13,640 --> 01:36:18,160
Speaker 1: very fond of, which I like. I think it's uh

1696
01:36:18,200 --> 01:36:20,760
Speaker 1: it captures the essence of Hills that that's true. Did

1697
01:36:20,800 --> 01:36:22,240
Speaker 1: you see by the way she wrote this tweet like

1698
01:36:22,280 --> 01:36:25,720
Speaker 1: but by emails after the i G Report came out

1699
01:36:25,960 --> 01:36:28,640
Speaker 1: and everyone just piled on, I'm like, why are you

1700
01:36:28,640 --> 01:36:31,880
Speaker 1: gonna go drink some chardonnay, hang out and go for

1701
01:36:31,960 --> 01:36:35,040
Speaker 1: walks in the woods, do some yoga. Don't get in,

1702
01:36:35,080 --> 01:36:37,439
Speaker 1: don't get into the scrum. It's a bad idea, all right?

1703
01:36:37,479 --> 01:36:40,160
Speaker 1: Next up here, Rachel, She writes, Hey, Buck, my husband

1704
01:36:40,240 --> 01:36:42,479
Speaker 1: told me about your show recently, and now I listened

1705
01:36:42,600 --> 01:36:45,720
Speaker 1: via podcast. We have a one year old daughter, Adeline,

1706
01:36:45,800 --> 01:36:47,519
Speaker 1: and since I have the privilege of being a stay

1707
01:36:47,560 --> 01:36:49,360
Speaker 1: at home mom, I listened to your show with her

1708
01:36:49,479 --> 01:36:53,000
Speaker 1: during the day. Whenever I laugh at something funny, you say,

1709
01:36:53,080 --> 01:36:56,320
Speaker 1: she laughs too. Oh, that's so cute. We are raising

1710
01:36:56,360 --> 01:36:58,920
Speaker 1: the next generation of conservatives, So thank you for your

1711
01:36:58,960 --> 01:37:02,280
Speaker 1: commitment to speak truth about the media and political matters. Also,

1712
01:37:03,120 --> 01:37:05,519
Speaker 1: during your pre recorded introduction on the podcast, it says

1713
01:37:05,520 --> 01:37:08,920
Speaker 1: you decode the news with actionable intelligence. I think that's

1714
01:37:08,960 --> 01:37:10,800
Speaker 1: what it says, but when I first heard it, I

1715
01:37:10,800 --> 01:37:14,320
Speaker 1: thought it said actual intelligence. We should probably switch it

1716
01:37:14,400 --> 01:37:16,880
Speaker 1: to that, which is still appropriate since the other media

1717
01:37:16,880 --> 01:37:19,439
Speaker 1: outlets just bashed the president and uh, don't bring anything

1718
01:37:19,479 --> 01:37:23,800
Speaker 1: near the table shields Hie Rachel from Southern Callie. Well,

1719
01:37:23,840 --> 01:37:26,559
Speaker 1: thank you, Rachel. I'm glad I can keep you company.

1720
01:37:26,600 --> 01:37:29,360
Speaker 1: And uh you know that that that the baby laughs

1721
01:37:29,360 --> 01:37:31,599
Speaker 1: when you laugh is great, you know, I'm I'm very

1722
01:37:31,640 --> 01:37:33,679
Speaker 1: happy to hear that. That sounds like a lot of fun.

1723
01:37:34,640 --> 01:37:38,679
Speaker 1: Uh Dan with a little helpful bit here. The Brits

1724
01:37:38,720 --> 01:37:42,599
Speaker 1: called the toilet the Donney. I don't know if that's true.

1725
01:37:42,640 --> 01:37:45,799
Speaker 1: He could be treating me like the foreign exchange student

1726
01:37:45,840 --> 01:37:49,000
Speaker 1: that you lie to about words mean. You know, I

1727
01:37:49,040 --> 01:37:53,240
Speaker 1: am a sex machine, remember from a you know as

1728
01:37:53,280 --> 01:37:58,360
Speaker 1: I can't hardly wait, I am a sex a machine.

1729
01:37:58,760 --> 01:38:01,280
Speaker 1: That's what the guy they they teach the foreign exchange

1730
01:38:01,280 --> 01:38:03,680
Speaker 1: students to say that, you know, did the Jennifer love

1731
01:38:03,760 --> 01:38:07,400
Speaker 1: hum A movie? You know what I'm talking about? Cheat.

1732
01:38:07,720 --> 01:38:10,600
Speaker 1: He starts that he like because he likes the the

1733
01:38:11,000 --> 01:38:15,160
Speaker 1: you know the cheetah anyway, Um, I've never heard of

1734
01:38:15,200 --> 01:38:17,479
Speaker 1: the duney before. But Daniels, I'll take your word for it.

1735
01:38:17,560 --> 01:38:19,479
Speaker 1: I will say that someone pointed out and it might

1736
01:38:19,520 --> 01:38:20,960
Speaker 1: even come up later in this roll CLO because I

1737
01:38:21,000 --> 01:38:24,519
Speaker 1: saw it. I saw it earlier. Uh that ducks in

1738
01:38:24,560 --> 01:38:26,800
Speaker 1: a Row has nothing to do with the shooting gallery, John,

1739
01:38:27,040 --> 01:38:30,360
Speaker 1: Ducks in a Row is for ducks following the mama

1740
01:38:30,439 --> 01:38:32,880
Speaker 1: duck in a row. Why did my mind go to

1741
01:38:32,880 --> 01:38:36,080
Speaker 1: shoot it shooting the ducks right away? That's that's on me.

1742
01:38:36,479 --> 01:38:39,160
Speaker 1: I don't know. I just figured that it was. Yeah,

1743
01:38:39,200 --> 01:38:42,200
Speaker 1: that's right. Duck Hunt, the game was awesome. I used

1744
01:38:42,200 --> 01:38:44,719
Speaker 1: to you know, I used to play duck Hunt so much,

1745
01:38:44,840 --> 01:38:48,400
Speaker 1: and now I realize, Um, I don't like hunting ducks.

1746
01:38:48,560 --> 01:38:50,280
Speaker 1: It's just not It's just not for me. I don't know.

1747
01:38:50,520 --> 01:38:53,400
Speaker 1: I'm okay. Actually, I'm okay with birds and fish. I

1748
01:38:53,400 --> 01:38:55,880
Speaker 1: can take out birds and fish. But if it's furry,

1749
01:38:55,920 --> 01:38:57,120
Speaker 1: and if I feel like it could be a furry

1750
01:38:57,120 --> 01:38:59,760
Speaker 1: friend of mine, I don't know. I get a little

1751
01:38:59,800 --> 01:39:03,960
Speaker 1: like a little wimpy about about that. Next up here

1752
01:39:04,280 --> 01:39:10,680
Speaker 1: is Donna. She writes, WHOA, it's longer Buck, because of

1753
01:39:10,680 --> 01:39:14,600
Speaker 1: our shared love of soccer. I thought i'd share this information.

1754
01:39:15,080 --> 01:39:18,759
Speaker 1: And then she goes in a long thing about soccer. Uh, Donna,

1755
01:39:18,800 --> 01:39:21,160
Speaker 1: I will read Donna. Rather, I'll read this on my own.

1756
01:39:21,600 --> 01:39:24,960
Speaker 1: Thank you for writing, Sean, He writes, Hey, Buck, do

1757
01:39:25,000 --> 01:39:27,800
Speaker 1: you even lift? Bro? I say that because I drive

1758
01:39:27,880 --> 01:39:31,799
Speaker 1: for lift l y f t oh a word Smith

1759
01:39:31,880 --> 01:39:34,760
Speaker 1: here a play on words from Sean. I drive for

1760
01:39:34,800 --> 01:39:36,599
Speaker 1: a lift here in Utah today, I had some ladies

1761
01:39:36,600 --> 01:39:41,160
Speaker 1: from California chatting about the homeless issue there. I thought

1762
01:39:41,160 --> 01:39:44,240
Speaker 1: the conversation would go lefty, but I was wrong. Do

1763
01:39:44,280 --> 01:39:47,000
Speaker 1: you think with all the progressiveness killing the state, can

1764
01:39:47,040 --> 01:39:51,240
Speaker 1: Republicans there take back the government? Well, you know, Sean,

1765
01:39:51,320 --> 01:39:55,040
Speaker 1: there's this story out there about how California, I think

1766
01:39:55,080 --> 01:39:59,400
Speaker 1: it's on the ballot now, could be split into three

1767
01:39:59,479 --> 01:40:02,720
Speaker 1: d you've seen into three states. I just want the

1768
01:40:02,760 --> 01:40:04,479
Speaker 1: one that has Orange County. That would be the one

1769
01:40:04,520 --> 01:40:07,479
Speaker 1: that I would Whichever California gets Orange County is the

1770
01:40:07,479 --> 01:40:10,280
Speaker 1: one that I would move to. I think northern California

1771
01:40:10,320 --> 01:40:12,440
Speaker 1: is not my jam. You have all the bad politics

1772
01:40:12,439 --> 01:40:15,799
Speaker 1: of southern California, but it's a little cold, a little wet,

1773
01:40:16,120 --> 01:40:17,680
Speaker 1: and I remember being in San Francisco and it was

1774
01:40:17,720 --> 01:40:19,120
Speaker 1: supposed to be warm that time of year, and I

1775
01:40:19,120 --> 01:40:22,639
Speaker 1: was just it was just raining and freezing all the time. Yeah,

1776
01:40:22,800 --> 01:40:25,680
Speaker 1: not not a huge fan. Uh but yeah. So I

1777
01:40:25,680 --> 01:40:28,240
Speaker 1: don't I don't know if it's possible, my friend, based

1778
01:40:28,240 --> 01:40:30,879
Speaker 1: on the demographic sean, I think that California is probably

1779
01:40:31,760 --> 01:40:36,559
Speaker 1: lost to the left for the foreseeable But I could

1780
01:40:36,600 --> 01:40:39,200
Speaker 1: be I could be wrong. And this ballot initiative about

1781
01:40:39,240 --> 01:40:41,680
Speaker 1: breaking the state up into three, I don't even know

1782
01:40:41,720 --> 01:40:44,880
Speaker 1: what the process is for breaking a state up or

1783
01:40:44,960 --> 01:40:47,240
Speaker 1: or how that would work, but I'll I will look

1784
01:40:47,280 --> 01:40:50,360
Speaker 1: into it, and uh, we'll see. I would just want

1785
01:40:50,360 --> 01:40:51,720
Speaker 1: to live in the O C. That would be my

1786
01:40:53,040 --> 01:40:58,320
Speaker 1: That will be my choice if I could. So Amy

1787
01:40:58,439 --> 01:41:00,680
Speaker 1: is next here. Please allow me a nerd out for

1788
01:41:00,720 --> 01:41:04,280
Speaker 1: a moment. In reference to your commentary on boiling water.

1789
01:41:04,800 --> 01:41:08,760
Speaker 1: The temperature at which water boils does change depending on elevation.

1790
01:41:09,320 --> 01:41:14,040
Speaker 1: Why elevation because atmospheric pressure. Why atmospheric pressure Because of

1791
01:41:14,080 --> 01:41:17,680
Speaker 1: the ideal gas law PV equals n RT. This is

1792
01:41:17,720 --> 01:41:21,479
Speaker 1: why foods have high altitude cooking instructions. At sea level,

1793
01:41:21,520 --> 01:41:24,760
Speaker 1: water boils at two twelve degrees fahrenheit with each five

1794
01:41:25,120 --> 01:41:27,360
Speaker 1: foot increase in elevation, the boiling point of water is

1795
01:41:27,400 --> 01:41:30,919
Speaker 1: lowered by just under one degree fahrenheit. Go women of science.

1796
01:41:31,320 --> 01:41:36,560
Speaker 1: Oh yeah, shields high Amy. That was some impressive nerdiness.

1797
01:41:37,680 --> 01:41:40,679
Speaker 1: That was. That was like legit, put on a lab

1798
01:41:40,720 --> 01:41:45,840
Speaker 1: coat because you are nerd ing out. So yeah, there,

1799
01:41:46,000 --> 01:41:49,439
Speaker 1: there you have it. Um, let's see what we have here.

1800
01:41:49,439 --> 01:41:53,160
Speaker 1: In next Oh yes, Dan, Dan right, Buck, love your

1801
01:41:53,160 --> 01:41:58,720
Speaker 1: show sure beats blowing a paycheck, drowning sorrows. Sorrows just

1802
01:41:58,720 --> 01:42:02,920
Speaker 1: get pushed aside. T G. I f I love how

1803
01:42:02,960 --> 01:42:05,680
Speaker 1: some places enjoy employing lots of employees who do not

1804
01:42:05,720 --> 01:42:09,080
Speaker 1: care if the business succeeds or fails. I have lots

1805
01:42:09,080 --> 01:42:10,760
Speaker 1: of junk I would not put in writing Love your

1806
01:42:10,760 --> 01:42:14,600
Speaker 1: show from Dan Well, Dan, thank you, uh love that

1807
01:42:14,640 --> 01:42:16,799
Speaker 1: you listen to the show very much. Appreciate it, buddy,

1808
01:42:18,240 --> 01:42:22,120
Speaker 1: don Next up in roll call cell Phone Apocalypse. Love

1809
01:42:22,120 --> 01:42:24,439
Speaker 1: the show, Buck, keep up the good work. There's a

1810
01:42:24,479 --> 01:42:27,360
Speaker 1: movie called cell with Samuel L. Jackson and John Cusack

1811
01:42:27,439 --> 01:42:30,240
Speaker 1: where people cell phones turn them into zombies. So bad

1812
01:42:30,479 --> 01:42:33,800
Speaker 1: it's good. I don't know down that sounds so bad

1813
01:42:33,840 --> 01:42:37,839
Speaker 1: it's bad. I think there's also a movie with Colin

1814
01:42:37,880 --> 01:42:41,120
Speaker 1: Farrell who ruins all movies and people go, book, what

1815
01:42:41,200 --> 01:42:44,040
Speaker 1: about in Bruges. I'm like, okay, fine, who saw in Bruges?

1816
01:42:44,160 --> 01:42:47,000
Speaker 1: Like five people saw in Bruges? And he's basically playing

1817
01:42:47,040 --> 01:42:50,000
Speaker 1: himself in that movie. It's like some Irish thug or something.

1818
01:42:50,040 --> 01:42:52,479
Speaker 1: You know. That doesn't make anything. It doesn't make it better.

1819
01:42:52,640 --> 01:42:54,960
Speaker 1: The rest of the movies that he's in, you're like, Wow,

1820
01:42:54,960 --> 01:42:57,000
Speaker 1: why is Colin Farrell so bad? And why is this

1821
01:42:57,040 --> 01:42:59,120
Speaker 1: movie so terrible? I don't know how he was able

1822
01:42:59,160 --> 01:43:00,519
Speaker 1: to get the roles that he did for as long

1823
01:43:00,560 --> 01:43:04,240
Speaker 1: as he did. His performance in Miami Vice, which is

1824
01:43:04,320 --> 01:43:06,559
Speaker 1: based on a hit TV show the movie was was

1825
01:43:06,600 --> 01:43:09,040
Speaker 1: made by Michael Mann, is a really bad movie. I've happened.

1826
01:43:09,040 --> 01:43:11,360
Speaker 1: I've seen it many times because it's on HBO, and

1827
01:43:11,400 --> 01:43:12,720
Speaker 1: I don't know. It's one of those movies. Do you

1828
01:43:12,720 --> 01:43:15,160
Speaker 1: have those movies gen where you're you're like, I don't

1829
01:43:15,160 --> 01:43:17,559
Speaker 1: really like this movie, but I'll watch it anyway. You know,

1830
01:43:17,680 --> 01:43:19,840
Speaker 1: it's it's on, so I'll watch it. I never seek

1831
01:43:19,880 --> 01:43:21,599
Speaker 1: it out, But Miami Vice has been on of those

1832
01:43:21,600 --> 01:43:24,600
Speaker 1: movies seen so many times. But he plays Crockett and

1833
01:43:24,600 --> 01:43:27,760
Speaker 1: he has like a blonde mullet. It's Colin Farrell, and

1834
01:43:27,800 --> 01:43:30,200
Speaker 1: he has some of the worst lines, like I'm a

1835
01:43:30,200 --> 01:43:33,639
Speaker 1: fiend for Mohitos. I'm like, who says I'm a fiend

1836
01:43:33,680 --> 01:43:36,080
Speaker 1: for mohitos? You know, who's supposed to be like a

1837
01:43:36,120 --> 01:43:39,719
Speaker 1: tough guy. That's like saying, you know, I'm a freak

1838
01:43:39,720 --> 01:43:42,800
Speaker 1: for Apple Teeny's or something like. I mean, that's I

1839
01:43:42,840 --> 01:43:45,040
Speaker 1: don't know, it's like, yeah, John knows that I'm talking about.

1840
01:43:45,080 --> 01:43:47,439
Speaker 1: That's just weird. That doesn't make sense. But there's a movie.

1841
01:43:47,439 --> 01:43:49,000
Speaker 1: I bring it up because there's a movie where he's

1842
01:43:49,520 --> 01:43:51,559
Speaker 1: on the phone the whole time, like he's in a

1843
01:43:51,600 --> 01:43:53,439
Speaker 1: phone booth. It might even be called Oh no, it's

1844
01:43:53,439 --> 01:43:56,240
Speaker 1: called cellular. I think he's is it what's it called?

1845
01:43:56,280 --> 01:43:59,240
Speaker 1: Things called pay phone or phone booth? And I like

1846
01:43:59,320 --> 01:44:01,720
Speaker 1: that movie? You saw it? I never saw it. He's

1847
01:44:01,760 --> 01:44:03,040
Speaker 1: on the phone the whole time. How could it be

1848
01:44:03,080 --> 01:44:06,040
Speaker 1: a good movie? I found it to be very interesting.

1849
01:44:06,040 --> 01:44:09,080
Speaker 1: I like, I don't know, John, I'll take your work.

1850
01:44:09,160 --> 01:44:10,960
Speaker 1: I'll take your word for it on this one. I

1851
01:44:11,000 --> 01:44:13,960
Speaker 1: think he's a good actor. I just movies are not

1852
01:44:14,000 --> 01:44:16,240
Speaker 1: that great. God, But I do like that one movie.

1853
01:44:16,320 --> 01:44:18,400
Speaker 1: I'm just kidding. It's like a it's like a freedom

1854
01:44:18,479 --> 01:44:20,479
Speaker 1: hunt ambush right now. I couldn't have seen this one coming.

1855
01:44:20,560 --> 01:44:23,839
Speaker 1: John John likes John likes that movie. That's a surprise

1856
01:44:23,880 --> 01:44:26,400
Speaker 1: to me. All Right, Um, we gotta go to uh

1857
01:44:26,479 --> 01:44:28,080
Speaker 1: we gotta take a quick pause here, we'll come back

1858
01:44:28,120 --> 01:44:31,120
Speaker 1: finishing out the roll call thoughts for the weekend. It's

1859
01:44:31,120 --> 01:44:34,080
Speaker 1: going to be amazing. Stay right there. The show ain't

1860
01:44:34,120 --> 01:44:43,400
Speaker 1: over yet, folks. Here's where you take over. Yeah. It's

1861
01:44:43,400 --> 01:44:45,360
Speaker 1: got kind of a Miami bike five a little day,

1862
01:44:45,400 --> 01:44:49,120
Speaker 1: keeping it real, keeping it real. I love our announcing

1863
01:44:49,640 --> 01:44:57,280
Speaker 1: It's awesome, team Buck. It's time for roll calls. Time

1864
01:44:57,320 --> 01:44:58,959
Speaker 1: for roll call. You know why I love our announcers

1865
01:44:59,000 --> 01:45:01,599
Speaker 1: so much, Andy, because to me, he kind of sounds

1866
01:45:01,600 --> 01:45:07,960
Speaker 1: like Optimist Prime Autobots Unite. Remember that. That's right, a

1867
01:45:08,000 --> 01:45:10,800
Speaker 1: young optimist Prime, exactly like optimists before. You know, had

1868
01:45:10,840 --> 01:45:12,240
Speaker 1: a lot of mileage on him, you know what I mean,

1869
01:45:12,600 --> 01:45:16,120
Speaker 1: early optimists. All right, roll call your thoughts, not my well,

1870
01:45:16,200 --> 01:45:17,920
Speaker 1: my thoughts too, because come on, it's a it's a

1871
01:45:17,960 --> 01:45:21,720
Speaker 1: team effort here. Uh. I'm so excited to be up

1872
01:45:21,760 --> 01:45:23,760
Speaker 1: here for the weekend. I'm just gonna there's gonna be

1873
01:45:23,800 --> 01:45:28,280
Speaker 1: so much Netflix and Thai food. And I really did

1874
01:45:28,320 --> 01:45:29,679
Speaker 1: make a mistake for a while when I was saying

1875
01:45:29,680 --> 01:45:31,400
Speaker 1: Netflix and chill all the time, I actually thought it

1876
01:45:31,439 --> 01:45:34,439
Speaker 1: meant to watch Netflix and to hang out. But Netflix

1877
01:45:34,439 --> 01:45:37,559
Speaker 1: and chill, as some of the younger listeners had to

1878
01:45:37,600 --> 01:45:39,559
Speaker 1: tell me, is in fact, you know when I say

1879
01:45:39,600 --> 01:45:42,240
Speaker 1: ms Molly and I are gonna Netflix and chill, that's

1880
01:45:42,280 --> 01:45:45,959
Speaker 1: not what I meant. Like watching Netflix and spending time together,

1881
01:45:46,880 --> 01:45:50,400
Speaker 1: you know, with food involved or something. Gosh, where does

1882
01:45:50,439 --> 01:45:52,080
Speaker 1: it get their minds out of the gutter? All right,

1883
01:45:52,360 --> 01:45:57,240
Speaker 1: Eric writes Buck, Um, you read my message and I

1884
01:45:57,280 --> 01:46:00,479
Speaker 1: feel make Porter money came across wrong. I meant I

1885
01:46:00,520 --> 01:46:03,040
Speaker 1: hope you earned Porter amounts of money. A word of

1886
01:46:03,120 --> 01:46:05,640
Speaker 1: that poorly. You deserve an increase in the pay for

1887
01:46:05,680 --> 01:46:09,760
Speaker 1: the work you do. Sorry about that, shields Hie. Uh Eric, Um, no,

1888
01:46:09,920 --> 01:46:12,840
Speaker 1: it's all good man. Porter is awesome. What. Porter's a

1889
01:46:12,880 --> 01:46:16,160
Speaker 1: friend and a mentor. Um and uh he wants he

1890
01:46:16,200 --> 01:46:21,280
Speaker 1: wants the Buck to earn to earn cash too, So indeed, uh,

1891
01:46:21,320 --> 01:46:24,240
Speaker 1: there you have that. Um let's get to By the way,

1892
01:46:24,280 --> 01:46:25,960
Speaker 1: I'm gonna have Porter as a guest on the show soon.

1893
01:46:26,560 --> 01:46:31,680
Speaker 1: T J next up here, um book. I also I

1894
01:46:31,720 --> 01:46:34,240
Speaker 1: noticed Crystal was so this is about Rising, the new

1895
01:46:34,240 --> 01:46:35,760
Speaker 1: show on mom which if you haven't seen it, you

1896
01:46:35,760 --> 01:46:40,720
Speaker 1: go to uh hill dot TV slash Rising. That's Hill

1897
01:46:40,920 --> 01:46:44,040
Speaker 1: dot TV slash Rising. I noticed Crystal was able to

1898
01:46:44,080 --> 01:46:47,360
Speaker 1: sit in on the Giuliana Giuliani interview, but you weren't

1899
01:46:47,360 --> 01:46:50,200
Speaker 1: able to sit in on the Podesta interview. Is this

1900
01:46:50,320 --> 01:46:54,360
Speaker 1: at the requests of the guests or what perhaps Podesta

1901
01:46:54,400 --> 01:46:58,560
Speaker 1: couldn't handle a hard question from the buckster uh t J.

1902
01:46:58,720 --> 01:47:01,080
Speaker 1: We're trying to see what the best format is for

1903
01:47:01,200 --> 01:47:03,800
Speaker 1: our because we're doing this show that no one does right,

1904
01:47:03,840 --> 01:47:05,880
Speaker 1: and it's both sides of the story as our mantra.

1905
01:47:06,000 --> 01:47:09,160
Speaker 1: So we're trying to get people both perspectives without showing

1906
01:47:09,200 --> 01:47:11,519
Speaker 1: one side just get pummeled like pal pal but like

1907
01:47:12,280 --> 01:47:17,000
Speaker 1: like getting you know, ripped apart on TV. AH. So

1908
01:47:18,640 --> 01:47:21,200
Speaker 1: it's difficult. It's a difficult balance. We're trying to strike it.

1909
01:47:21,280 --> 01:47:23,479
Speaker 1: You know, sometimes it'll just be me, sometimes it'll just

1910
01:47:23,520 --> 01:47:25,760
Speaker 1: be her, and I think sometimes it'll be both. Uh

1911
01:47:25,920 --> 01:47:27,640
Speaker 1: And with Juliana to day, we went long on that

1912
01:47:27,680 --> 01:47:29,080
Speaker 1: interview because it's so much we want to talk to

1913
01:47:29,160 --> 01:47:32,160
Speaker 1: him about and he's obviously a really interesting, compelling guy.

1914
01:47:32,240 --> 01:47:34,840
Speaker 1: But I'll just say t J that we're still working

1915
01:47:34,880 --> 01:47:38,760
Speaker 1: on format and it's Look, this is an experiment. You know.

1916
01:47:38,840 --> 01:47:42,479
Speaker 1: This isn't just standard you know, cable TV commentary show.

1917
01:47:42,520 --> 01:47:47,920
Speaker 1: This is a digital political conversation, and we're hoping that

1918
01:47:48,160 --> 01:47:50,360
Speaker 1: folks enjoy it and and get something good out of it.

1919
01:47:50,560 --> 01:47:55,960
Speaker 1: Um Will writes uh hold on what is? Will write

1920
01:47:56,360 --> 01:47:59,839
Speaker 1: uh for Roll Call regarding the Hill dot TV slash Rising.

1921
01:48:00,560 --> 01:48:03,559
Speaker 1: Are there plans to have a channel creator for Roku?

1922
01:48:04,200 --> 01:48:06,719
Speaker 1: I have recently cut the chord in NYC and enjoy

1923
01:48:06,840 --> 01:48:10,320
Speaker 1: not having to pay time Warner Cable for mainstream media

1924
01:48:10,360 --> 01:48:12,920
Speaker 1: and leftist cable tv. However, I would happily pay for

1925
01:48:12,960 --> 01:48:16,519
Speaker 1: a monthly subscription for Rising through Roku, Apple TV, or

1926
01:48:16,560 --> 01:48:22,080
Speaker 1: other web TV subscription platforms. Will Um, let me say

1927
01:48:22,120 --> 01:48:25,519
Speaker 1: that you are very savvy. Your mind is in the

1928
01:48:25,600 --> 01:48:30,120
Speaker 1: right place on this one, and the answer is yes,

1929
01:48:30,520 --> 01:48:33,800
Speaker 1: I think, and I think I'll be able to give

1930
01:48:33,840 --> 01:48:37,160
Speaker 1: you a definitive answer on which one of those soon

1931
01:48:37,640 --> 01:48:41,040
Speaker 1: for Rising, but I don't have it yet, so stay tuned.

1932
01:48:41,479 --> 01:48:45,120
Speaker 1: Is what I got on that one, Um, And that's

1933
01:48:45,160 --> 01:48:47,000
Speaker 1: what I can say on that one. Also, you wrote,

1934
01:48:47,000 --> 01:48:48,840
Speaker 1: great to see Joe Conscha on the show this morning.

1935
01:48:48,880 --> 01:48:52,040
Speaker 1: Joe is the man. Absolutely. I'm a big Joe contra fan.

1936
01:48:53,000 --> 01:48:56,800
Speaker 1: Very very smart guy, very nice guy, humble guy, and

1937
01:48:56,840 --> 01:48:59,639
Speaker 1: a and a helpful guy, which in this business of

1938
01:49:00,400 --> 01:49:07,240
Speaker 1: which is just overrun with eaglemaniacal uh newsreader, you know, wackos,

1939
01:49:08,160 --> 01:49:11,120
Speaker 1: people that really aren't nice people in person or or

1940
01:49:11,200 --> 01:49:14,120
Speaker 1: on TV. It's great to have Joe around. He's he's

1941
01:49:14,120 --> 01:49:16,560
Speaker 1: just he's just good. He's good energy and good analysis.

1942
01:49:16,600 --> 01:49:20,080
Speaker 1: He really is. I can't say enough positive things about

1943
01:49:20,120 --> 01:49:24,679
Speaker 1: Joe conscho Uh. Adam. Adam also has this idea Buck

1944
01:49:24,720 --> 01:49:27,639
Speaker 1: Advisor higher ups at the Hill to get a Roku

1945
01:49:27,760 --> 01:49:30,080
Speaker 1: channel started. Do that and I'll pull a Democrat and

1946
01:49:30,120 --> 01:49:32,639
Speaker 1: have you up on four TVs every day and vote

1947
01:49:32,720 --> 01:49:36,240
Speaker 1: quadruple for your new show. All right, Adam, John, do

1948
01:49:36,240 --> 01:49:38,040
Speaker 1: you know do you have a Roku TV or something?

1949
01:49:38,600 --> 01:49:40,920
Speaker 1: We you know, we had Roku at the Blaze TV

1950
01:49:41,000 --> 01:49:48,040
Speaker 1: at gb TV very early on, and you know that

1951
01:49:48,040 --> 01:49:50,559
Speaker 1: that didn't really we didn't really get much viewing on Roku.

1952
01:49:50,640 --> 01:49:52,320
Speaker 1: But that was so early, that was like eight years ago.

1953
01:49:52,400 --> 01:49:54,040
Speaker 1: I wonder if Roku now has become a bigger thing.

1954
01:49:54,080 --> 01:49:55,920
Speaker 1: I don't know enough about it. I don't know if

1955
01:49:55,960 --> 01:49:57,439
Speaker 1: about it, Like, I gotta look into it a little

1956
01:49:57,439 --> 01:49:59,840
Speaker 1: bit um, But thank you guys. You know what, I'll

1957
01:50:00,080 --> 01:50:02,639
Speaker 1: it up with my team. We'll see. Maybe I've gotten

1958
01:50:02,640 --> 01:50:05,680
Speaker 1: so many brilliant, brilliant ideas from from this audience that

1959
01:50:06,240 --> 01:50:09,360
Speaker 1: I'm always happy to I'm always happy team to borrow

1960
01:50:09,400 --> 01:50:11,720
Speaker 1: your brilliance and presented to people like, hey, I had

1961
01:50:11,760 --> 01:50:15,000
Speaker 1: this idea about how we can build our platform. I

1962
01:50:15,080 --> 01:50:18,000
Speaker 1: give you credit. I'm like it came from the team. Well, yeah,

1963
01:50:18,120 --> 01:50:20,720
Speaker 1: so there's that. One more here, David, Right, Hey Buck.

1964
01:50:20,760 --> 01:50:24,080
Speaker 1: The reason boys math scores are higher than girls is

1965
01:50:24,120 --> 01:50:29,560
Speaker 1: their exposure to sports. Boys learn statistics from baseball, football, etcetera.

1966
01:50:30,040 --> 01:50:33,280
Speaker 1: Girls tend to participate in gymnastics and soccer, which is

1967
01:50:33,320 --> 01:50:37,760
Speaker 1: more subjective. It's also why boys are more adept at geography,

1968
01:50:37,800 --> 01:50:40,080
Speaker 1: because they learn where the teams are located. Keep up

1969
01:50:40,080 --> 01:50:44,439
Speaker 1: the great work, Dave. Uh, Dave. I don't think that's correct,

1970
01:50:46,000 --> 01:50:50,360
Speaker 1: but but I gotta give you like some credit for creativity.

1971
01:50:50,360 --> 01:50:54,719
Speaker 1: But I don't think that's entirely accurate. I'm not sure

1972
01:50:55,000 --> 01:50:57,920
Speaker 1: that's that's true. Oh wait, one more here, carry rights?

1973
01:50:57,920 --> 01:51:01,840
Speaker 1: Who has better hair Tucker Carlson, uh, you know, or

1974
01:51:01,840 --> 01:51:07,960
Speaker 1: Buck Sexton. She writes no, no, no carry Sorry, Buck

1975
01:51:08,040 --> 01:51:11,080
Speaker 1: has the best hair. Disagreeing with carry here she takes

1976
01:51:11,120 --> 01:51:13,960
Speaker 1: Tucker's side in the argument. Sorry, the Buck swoop is

1977
01:51:14,000 --> 01:51:15,760
Speaker 1: the best swoop. I'm gonna leave you with that for

1978
01:51:15,760 --> 01:51:19,200
Speaker 1: the weekend. Everybody have a great one. Shields High sponsor.

1979
01:51:19,240 --> 01:51:23,000
Speaker 1: This half hour is the novel Anubis. The enigmatic US

1980
01:51:23,080 --> 01:51:25,800
Speaker 1: president is dead. ISIS is attacking on multiple fronts, and

1981
01:51:25,840 --> 01:51:29,040
Speaker 1: the U S Special Forces call on a mercenary cyber

1982
01:51:29,080 --> 01:51:32,559
Speaker 1: warrior to stop the crisis. This is a Nubis. An

1983
01:51:32,560 --> 01:51:35,559
Speaker 1: aging marine sergeant and battle warren Army major face an

1984
01:51:35,600 --> 01:51:38,240
Speaker 1: enemy that turns the Internet into a terrorist weapon and

1985
01:51:38,320 --> 01:51:42,320
Speaker 1: makes our existing concepts of security archaic. A catastrophe of

1986
01:51:42,360 --> 01:51:45,560
Speaker 1: biblical proportions is about to unfold. The new president is

1987
01:51:45,600 --> 01:51:49,160
Speaker 1: facing a ruthless, relentless caliphate, and our military and elected

1988
01:51:49,240 --> 01:51:51,559
Speaker 1: leaders have no means to stop it. The only real

1989
01:51:51,640 --> 01:51:55,759
Speaker 1: questions are when and where? This is Anubis. Today's headline

1990
01:51:55,760 --> 01:51:57,599
Speaker 1: show us what is happening in the Middle East. Author

1991
01:51:57,720 --> 01:52:01,959
Speaker 1: Eric Anderson reveals the frightening possibilities that remain in a Nubis.

1992
01:52:02,479 --> 01:52:05,200
Speaker 1: Eric Anderson is a former undercover US intelligence agent. Check

1993
01:52:05,240 --> 01:52:08,000
Speaker 1: out his new book available on Amazon dot com or

1994
01:52:08,080 --> 01:52:10,960
Speaker 1: visit done books dot com and just type a n

1995
01:52:11,200 --> 01:52:13,799
Speaker 1: u b I S in the search field. That's a Nubis.

1996
01:52:13,800 --> 01:52:15,599
Speaker 1: A n u b i s