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Speaker 1: You are entering the freedom hunt. Republicans are sick of

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Speaker 1: the double standards in social media. Trump and the rest

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Speaker 1: of the GOP want answers for why Twitter suspended Mitch

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Speaker 1: McConnell related Twitter. We'll get into that. And also Bernie Carrick,

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Speaker 1: former commissioner of the NYP, He's going to join to

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Speaker 1: talk about a possible pardon for Blagoyevic And is there

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Speaker 1: really a movie where libs are hunting Trump supporters? That

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Speaker 1: and more coming up on The buck Sexton Show. This

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Speaker 1: is the buck Sexton Show, where the mission or mission

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Speaker 1: is to decode what really matters with actionable intelligence. Make

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Speaker 1: no mistake American, You're a great American Again the buck

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Speaker 1: Sexton Show begins. Remember then, might today? I'm directing my

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Speaker 1: administration to explore all regulatory and legislative solutions to protect

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Speaker 1: free speech and the free speech rights of all Americans.

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Speaker 1: We hope to see transparency, more accountability, and more freedom.

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Speaker 1: Welcome to the buck Sexton Show. That's right, not just

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Speaker 1: calling out the fake news media now that Trump White

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Speaker 1: House is saying, yeah, that's right. When we see something

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Speaker 1: that's really egregious, when one of the social media giants

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Speaker 1: decides that they're not going to play fair. It's time

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Speaker 1: the American people know about this. Here's what happened last night.

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Speaker 1: Mitch McConnell, as we discussed here in the week, had

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Speaker 1: people outside of his home saying horrible things. You probably

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Speaker 1: heard a lot less about this than you did about

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Speaker 1: how Trump is a racist. Oh you so wasist. What

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Speaker 1: happened was Trump's a racist, That's why he won twenty sixteen.

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Speaker 1: I'm just waiting for Hillary to pop out and tell

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Speaker 1: us all that that's what happened. But we've been hearing

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Speaker 1: so much about how Trump is a racist, We've been

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Speaker 1: hearing a lot less about, for example, the horrific stuff

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Speaker 1: said outside of Senate Majority Leader Mitch McConnell's home. Buy

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Speaker 1: a bunch of Libs who are driven to their rage,

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Speaker 1: to their insanity by the mainstream media and by Democrat

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Speaker 1: politicians who run around like Beto Rourke's saying Trump is

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Speaker 1: just like he's like worse than like Adolf Hitler, because

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Speaker 1: like I mean, like even like Hitler like was nice

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Speaker 1: to dogs, like Betto's a moron. You know, there's just

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Speaker 1: no way that you can justify the kinds of things

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Speaker 1: that these Democrats are saying about this president in any

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Speaker 1: sane world, in any realm of rationality, but they're just

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Speaker 1: they're all on all now because it's a it's an

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Speaker 1: arms race of stupidity. Who can say the most outlandish

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Speaker 1: thing about how terrible Trump is, That's what's gonna get

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Speaker 1: the headline. This is how you have Scarborough over at MSNBC,

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Speaker 1: who wishes that his swoop was quite as grandiose as yours.

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Speaker 1: Truly swoop, I am just saying, but he's saying insane

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Speaker 1: stuff about Trump, horrific stuff about Trump. And yet when

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Speaker 1: Mitch McConnell has people outside of his home saying, you know, murder,

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Speaker 1: calling him a murder turtle and all kinds of things,

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Speaker 1: then sure enough you don't hear that stuff at all.

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Speaker 1: You don't hear it, you don't hear about it. Why

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Speaker 1: is that so? Mitch McConnell had a Twitter account. The

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Speaker 1: Twitter account got suspended. You might ask, why was the

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Speaker 1: Twitter account suspended? Oh, that's right, because they shared footage

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Speaker 1: of the lunatics outside Mitch McConnell's home. Here's what happened.

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Speaker 1: There was a tweet from Kevin McLaughlin hashtag massacre Mitch. Sorry,

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Speaker 1: I was saying, you know, murder turtle. If there's all

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Speaker 1: kinds of things, hashtag massacre Mitch trended on Twitter for

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Speaker 1: a full day and Twitter did nothing. Someone threatens to

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Speaker 1: stab the majority leader at Team Mitch, that is Mitch McConnell.

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Speaker 1: He posts the video and they get locked out. The NRSC,

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Speaker 1: the National Republican Senate Committee is a senatorial committee, is

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Speaker 1: not spending money until this is addressed. That's right, folks.

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Speaker 1: You can threaten the Senate Majority leader on Twitter all

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Speaker 1: day long and nothing happens. But if the Senate Majority

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Speaker 1: Leader's account shows the threats so that people can see

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Speaker 1: what's happening, that account gets shut down. What other bias

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Speaker 1: do you need to see? What do you need to

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Speaker 1: know about to understand how deep the bias runs here

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Speaker 1: at Twitter in these other places. I mean, I think

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Speaker 1: I think it's quite clear, and I'm glad that Trump

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Speaker 1: is calling it out. And it's also nice to have

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Speaker 1: a little bit of a respite, isn't it just from

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Speaker 1: the constant Oh my gosh, Trump is so racist all

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Speaker 1: the stuff that they're saying, because the rhetoric from the

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Speaker 1: left is completely out of line, and you know this.

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Speaker 1: It's laughable, although it's really not funny at all. It's

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Speaker 1: absurd the kind of things that the left says on

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Speaker 1: a regular basis about Trump, about his supporters, and then

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Speaker 1: they want to lecture us on good faith debate and

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Speaker 1: keeping things, you know, lowering the temperature a little bit.

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Speaker 1: I mean, here's Maxine Waters, elected Democrat folks talking about Trump.

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Speaker 1: Play five. Well, I know the audio wasn't great there

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Speaker 1: she's saying, well, what if you if you get rid

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Speaker 1: of Trump, then you have Penn She said, quote I say,

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Speaker 1: knock off the first one and then go after the

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Speaker 1: second one. Yeah, she's a real sweetheart. You know, She's

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Speaker 1: really somebody that's elevating the discourse, isn't she? And they're

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Speaker 1: countless other examples here. There's so much else that we

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Speaker 1: could point to to just show how completely out of

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Speaker 1: line the left is on a regular basis, and yet

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Speaker 1: now they want to lecture us. Joe Biden wants to

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Speaker 1: lecture us too. For those who don't, I started to

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Speaker 1: doubt myself a little bit with my Joe Biden's not

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Speaker 1: going to be the nominee. He's starting to look like

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Speaker 1: he is. But then things like this happened. I know

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Speaker 1: this seems minor, but but Play nineteen. This is Joe

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Speaker 1: Biden today, out of what is the Iowa State fair

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Speaker 1: Play nineteen. Everybody knows who Donald Trump is, even the

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Speaker 1: supporters know who he is. We gotta let him know

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Speaker 1: who we are. We choose unity over division, We choose

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Speaker 1: science over fiction. We choose truth over facts. We gotta

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Speaker 1: make a T shirt there with Joe Biden's face, hutter.

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Speaker 1: We choose truth over facts. Joe Biden man, oh, the

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Speaker 1: Biden Nator, the Bideroski. Yep, he's trying real hard to

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Speaker 1: see him like a fighter, but he's I just don't

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Speaker 1: think he's got it in him. I don't think that

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Speaker 1: he's certainly not woke enough for the left. Is he

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Speaker 1: dishonest enough? Is is he full of enough slanderous vitriol

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Speaker 1: toward the President the United States? I think the answer

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Speaker 1: is we'll have to wait and see. We'll have to

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Speaker 1: see the Dayton mayor. By the way, you know, Trump

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Speaker 1: visited yesterday in El Paso, Texas, and in Dayton, Ohio.

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Speaker 1: Nan Whaley, who I thought was a Democrat, and sure enough,

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Speaker 1: of course is a Democrat. This is what she says

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Speaker 1: about that the leader of the free world, the commander

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Speaker 1: in chief, goes to heal the country in her city

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Speaker 1: after something that By the way, the Dayton shooter nobody

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Speaker 1: thinks was inspired by Trump. I mean that's if anything,

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Speaker 1: he was. If you're gonna start saying the inspired by stuff,

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Speaker 1: which I don't like as a general rule, but if

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Speaker 1: you're going to start saying, well, this person's politics or

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Speaker 1: the reason or some part of the reason the Dayton

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Speaker 1: shooter was an Elizabeth Warren supporter and a Bernie Sanders supporter.

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Speaker 1: Why haven't you seen more of that in the media.

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Speaker 1: Why amn't you see more about his leftist inclinations. By

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Speaker 1: the way, Byron York also did a great deep dive

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Speaker 1: into the manifesto of the El Paso shooter, and yes,

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Speaker 1: there was some stuff on him. First of all, he says,

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Speaker 1: this person's crazy. So can we stop trying to think

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Speaker 1: that there's a cohesive and and you know, piece by piece,

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Speaker 1: block by block political philosophy that's motivating this psychopath. There's

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Speaker 1: really fragments of ideas all smashed again other in this

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Speaker 1: psycho's head. That's what the reality is. But if you

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Speaker 1: look at the fragments, some of them have to do

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Speaker 1: with you know, he he's down for the Green New Deal.

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Speaker 1: I mean, the guy is not some maga hat wearing

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Speaker 1: super trumper. That was not the case with the El

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Speaker 1: Paso guy. He just is a psychotic anti immigrant racist.

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Speaker 1: But there's a whole lot of other stuff that would

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Speaker 1: be more in line with what with byron Y're called

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Speaker 1: national socialism. Oh that's right, the Nazis were socialists. I

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Speaker 1: know we're never supposed to talk about that, but it's true.

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Speaker 1: Nazis were socialists. Just say it in front of a

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Speaker 1: lib sometime and see the reaction you get. It's almost

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Speaker 1: as much fun as as pointing out to them. Yeah,

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Speaker 1: which was the party that was in favor of slavery?

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Speaker 1: And what was the party of segregation? That's right? Name

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Speaker 1: was the Democratic Party, wasn't it. Huh. It's weird how

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Speaker 1: you just don't hear more about that national socialists with

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Speaker 1: the Nazis. Segregation is the slavery party? Was Democrat Party? Yeah?

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Speaker 1: Now they're just so self righteous about everything all the time,

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Speaker 1: aren't they. Here's the Dayton mayor showing that plenty of

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Speaker 1: midsize cities have mayors who are deeply unimpressive one of

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Speaker 1: the biggest city of the country's mayors of Buffoon. So

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Speaker 1: I guess there's no no way to account for voter

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Speaker 1: taste these days. Play four. Look. I mean, I think

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Speaker 1: I've known and watched President Trump's Twitter feed for a while.

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Speaker 1: He is a bully and a coward. And it's fine

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Speaker 1: that he wants to bully me and Senator Brown. We're okay,

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Speaker 1: we can take it. But the citizens of Dayton deserve action,

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Speaker 1: and you know, we're just hoping that you know, this

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Speaker 1: isn't just a typical politician that's all talking, no action.

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Speaker 1: We want to see, and the citizens of Dayton want

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Speaker 1: to see him do something around some common sense gun legislations.

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Speaker 1: Great to say that there's so much about that. First

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Speaker 1: of all, comments calling something common sense doesn't make a

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Speaker 1: common sense. It's just a stupid high school debaters tactic

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Speaker 1: and it's annoying. Oh, let's just do common sun socialism.

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Speaker 1: That doesn't mean it's common sense. Start with that. But

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Speaker 1: this assert assertion that Donald Trump is a coward. Donald

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Speaker 1: Trump was a super famous billionaire with a really hot

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Speaker 1: wife and a big family and lots of stuff that

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Speaker 1: he could have done in the world he decided to

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Speaker 1: have to put himself in front of the most relentless

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Speaker 1: and well moneyed political machine in the world, the Clinton machine,

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Speaker 1: and break the whole thing and defeat it, and have

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Speaker 1: at least, you know, fifty percent of the country more

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Speaker 1: or less hate his guts for all eternity, and have

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Speaker 1: them try to imprison him and his family because he

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Speaker 1: wanted to, Oh my gosh, make America great again. Good

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Speaker 1: heavens anything but that. I mean, to call this guy

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Speaker 1: a coward is just the height of stupidity. He's definitely

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Speaker 1: not a coward. You can say you don't like his policies,

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Speaker 1: you can say you don't like his tweets. Guy's not

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Speaker 1: a coward, all right. He he took the full brunt

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Speaker 1: of the left wing machine on the chin, he won,

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Speaker 1: and he keeps doing a day in and day out.

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Speaker 1: So I just I just have to know. To call

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Speaker 1: him a coward, it's absurd, But lives are full of

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Speaker 1: absurdity these days. We'd know that we'll talk more about

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Speaker 1: the gun control policies that are not trying to push.

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Speaker 1: Got some more thoughts to you on red flag laws.

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Speaker 1: Bernie Carrot's going to join for a couple of segments

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Speaker 1: later on the show. I want to talk to him

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Speaker 1: about the possible Blagoievic pardon that's been floated out there.

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Speaker 1: I want to talk to him about the Eric Garner

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Speaker 1: Officer Pantaleo incident and what should happen officer Pantaleo, how

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Speaker 1: to clean up Wes Baltimore. I mean, he was commissioner

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Speaker 1: the NYPD, was gonna be Department of Homeland Security chief

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Speaker 1: and then he got he got they decided to take

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Speaker 1: him out to the woodshed for political reasons and really

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Speaker 1: go after him. So, and we're talking about that too.

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Speaker 1: What's it like when the prosecutorial office is weaponized for

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Speaker 1: political reasons against you? How does that feel? What is

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Speaker 1: that like? We'll ask him about all that. So I'm

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Speaker 1: looking I like Bernie. I'm looking forward to talking to him,

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Speaker 1: and we will also get into this movie The Hunt,

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Speaker 1: which that's right, folks, Hollywood is now making movies where

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Speaker 1: Trump supporters more or less are getting hunted by rich

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Speaker 1: East Coast lives. That's what's happening. We'll talk about it.

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Speaker 1: Stay with me. I'm very glad that the Department of

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Speaker 1: Justice and the FBI are treating this as domestic terrorism.

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Speaker 1: As a hate crime. It clearly is terrorism and a

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Speaker 1: hate crime, and the full force of the prosecutorial authority

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Speaker 1: of both the state government and the federal government will

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Speaker 1: appropriately ensure that the maximum penalty is enforced against this

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Speaker 1: mass murder. Look, that's been the position that all of

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Speaker 1: us have held all along. Here, what happened in El Paso,

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Speaker 1: what happened in Dayton, what also happened in Chicago, though

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Speaker 1: it's the details are different, but still loss of innocent

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Speaker 1: life through murder with firearms. But what happened was horrible,

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Speaker 1: and the full weight of a law should be brought

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Speaker 1: against the people involved. But our animosity are disgusted, should

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Speaker 1: be reserved for the people that actually do the thing,

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Speaker 1: And we should not allow conversations about policy to get

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Speaker 1: dragged into a Oh but this person that once did

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Speaker 1: this terrible thing liked a few things that you like,

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Speaker 1: so you're basically the same, which is what the game

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Speaker 1: has been for Libs all week. And this is not new.

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Speaker 1: They've been doing this for quite some time. But we

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Speaker 1: should not allow them to get away with that, because

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Speaker 1: if we're going to be concerned about what tears us apart,

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Speaker 1: if we can't have an versation with the other side

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Speaker 1: without hearing Oh that's so racist. Why are you so racist?

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Speaker 1: This country is not long for this world as a

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Speaker 1: place where ideas can flourish and we can live in

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Speaker 1: Let's be honest, relative harmony with each other over you know,

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Speaker 1: there's been some interruptions in that in this country's history,

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Speaker 1: but of a relative harmony with each other despite having

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Speaker 1: some very very different ideas about important things. You know,

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Speaker 1: we're not. We don't just disagree left and right, Democrat

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Speaker 1: and Republican about you know, minor issues of policy. You know,

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Speaker 1: what the exact tax rate should be or you know,

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Speaker 1: when we how much early voting should be allowed, and

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Speaker 1: things like that. Although we do disagree about that. We

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Speaker 1: also disagree about you know, is an infant in the

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Speaker 1: womb a human being or not? We disagree with the

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Speaker 1: left on that one, and yet we still I mean,

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Speaker 1: they're wrong, but we still live in the same country

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Speaker 1: and try to deal with the same rule of law issues.

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Speaker 1: And that's where we are. I think we're finally outside

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Speaker 1: the hysteria realm enough. I mean, we're never really outside

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Speaker 1: the hysteria realm with Libs, but we're outside this enough

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Speaker 1: where we can all take a breath. They can't just

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Speaker 1: get everything they want by calling us white supremacists. That

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Speaker 1: they're not going to actually manage to steamroll anything that

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Speaker 1: we have for political opposition on all kinds of bad

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Speaker 1: liberal ideas out there by claiming that we are white supremacists.

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Speaker 1: And in fact, I think some Democrats are smart enough

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Speaker 1: to figure out that they if they're gonna win an election,

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Speaker 1: they're gonna have to do more than just call everybody

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Speaker 1: racists and white nationalists and all the rest of it.

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Speaker 1: They have to have some ideas that will make people

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Speaker 1: want to vote for them. Just peddling in in a

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Speaker 1: hatred of Trump is not going to get them what

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Speaker 1: they want. Governor Steve Bullock, who he's one of these

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Speaker 1: guys in the Democrat stage who's been telling them things

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Speaker 1: that they don't want to hear. And he's right. Here's

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Speaker 1: him talking about Obamacare, for example, and how single payer

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Speaker 1: to get would get rid of Obamacare. I mean, they

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Speaker 1: keep forgetting about this. Here's what he says, Play eight.

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Speaker 1: It's taken a seventy years to get disclose. It makes

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Speaker 1: no sense to go back to swear one. I should

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Speaker 1: have not debate sage and I can not believe it

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Speaker 1: after seventy attempts by Republicans, seven of the Democrats we're

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Speaker 1: calling to reveal and replace Obamacare. If you propose abolish

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Speaker 1: and private health insurance, you will lose, You will be Electron.

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Speaker 1: He's right. I almost almost want to be very, very quiet.

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Speaker 1: We don't want Libs to figure out that if they

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Speaker 1: abolish private health insurance, they're done. They're not gonna win.

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Speaker 1: I should probably running other Yeah, Bernie's plan is great.

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Speaker 1: But what I'm bringing this all to here, folks, is

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Speaker 1: that the Democrats lose when we talk about ideas and

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Speaker 1: what matters, but they are pushing for these red flag laws.

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Speaker 1: We should delve into that a bit more, and we will.

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Speaker 1: They are still calling Trump a racist. It's unfair, it's nasty,

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Speaker 1: but we have to fight back against it. Also a

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Speaker 1: major ice raid in Mississippi. Want to get into that

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Speaker 1: and the way the media plays propaganda games about how

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Speaker 1: those stories are told. We'll give the accounter narrative. That's

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Speaker 1: all coming up in the next hour. I'm asking all Democrats.

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Speaker 1: Democrats will want to run for president and come into

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Speaker 1: the state of New York, just make it's a simple,

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Speaker 1: clear choice with the American people, the Make America Safer

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Speaker 1: Pledge for elements an assault weapon band, high capacity magazines,

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Speaker 1: universal ground check, mental health database, red flag laws. Those

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Speaker 1: four elements of gun control will change this nation. They

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Speaker 1: will change the nation. Maybe not in a way that

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Speaker 1: is quantifiable. But Governor Cuomo wants you to know that

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Speaker 1: creating a mental health database will in no way be

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Speaker 1: super creepy and big brotherlike because you can totally trust

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Speaker 1: this government not to lose data about your mental health,

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Speaker 1: which he is smart enough to know maybe one of

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Speaker 1: the most personal I can't. I can't keep going anymore.

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Speaker 1: I think about this, folks, a mental mental health database.

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Speaker 1: Those of you who have been who have been shouting

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Speaker 1: from the rooftops about red flag laws, you're right, it's

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Speaker 1: about It's a bad idea. I've thought more about the

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Speaker 1: last couple of days. I'm looking at this just not

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Speaker 1: gonna work. First of all, it's not gonna it's not

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Speaker 1: gonna stop anybody. What you really need is to have

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Speaker 1: you know, you need to have intervention from family, from school,

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Speaker 1: call on for law enforce, and can always do a

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Speaker 1: well check on somebody if necessary, even a turns check

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Speaker 1: where they show up. Now, look, we heard you're thinking

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Speaker 1: about some crazy stuff. You really don't want to do that,

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Speaker 1: and you know, maybe threats need to be taken more serious.

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Speaker 1: You can't threaten to kill people. That's that's illegal. You

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Speaker 1: can't say I'm gonna go kill a bunch of people.

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Speaker 1: That's illegal. So there are laws that I think should

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Speaker 1: be better enforced that are on the books, and many

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Speaker 1: of these different mass shooters violated those laws, and for

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Speaker 1: whatever reason, we're not held to account for it. But

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Speaker 1: now they're talking about, I mean, outlawing assault weapons is

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Speaker 1: just is we've done this. It does nothing. This is

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Speaker 1: just people who they don't like something, and so they're

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Speaker 1: willing to ignore the fact that we already have the

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Speaker 1: answer here. We know that that doesn't work. If they

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Speaker 1: want to bring it back, it's because they just don't

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Speaker 1: like it. But not like something is not an excuse

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Speaker 1: to infringe on the second Amendment number two, Create a

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Speaker 1: mental health database, the governor says, create a mental health database. Right,

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Speaker 1: that's terrifying those of you who have been writing me saying, okay,

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Speaker 1: buck red flag gloves, How does that affect somebody who

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Speaker 1: serve serving the military have PTSD. Are they going to

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Speaker 1: take their farms the way now, And I said, no,

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Speaker 1: of course, we need to have strict protections for people

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Speaker 1: that are seek therapy for PTSD. And you know, our

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Speaker 1: our warriors should know they come back and they get

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Speaker 1: all the help they need and suffer no consequences. All

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Speaker 1: they should have to suffer through is us shaking their

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Speaker 1: hands and saying thank you when we see them in public.

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Speaker 1: But now they're talking about a mental health database. Oh yeah, sure,

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Speaker 1: that's that's not going to be abused. Think about what

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Speaker 1: that's like if that ever gets leaked, by the way, Oh,

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Speaker 1: you're gonna we're gonna trust the government. I mean, I

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Speaker 1: got a letter saying that all my biographical information is

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Speaker 1: basically sitting on a Chinese server right now. They know

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Speaker 1: everything about me, and I know my family's names, where

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Speaker 1: I've lived in, all kinds of stuff because I wanted

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Speaker 1: to work for the government. We're gonna trust that this

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Speaker 1: mental health information is going to be that's just a

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Speaker 1: centralized mental health abbas. Who's going to have access to that.

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Speaker 1: Who's gonna be able to run checks? Oh, someone's running

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Speaker 1: someone's running for office. But did they ever you know,

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Speaker 1: did they ever go through a deep clinical depression, when

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Speaker 1: they were going through a divorce, or when they lost

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Speaker 1: a loved one, or maybe they had some struggles with

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Speaker 1: alcohol abuse for a while and had to see a therapist,

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Speaker 1: a counselor Oh, that'd be really really juicy information. Maybe

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Speaker 1: for a political opponent. You just happen to be able

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Speaker 1: to leak to the media, right, Oh, I don't think

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Speaker 1: anyone's above it. One of the stories about Barack Obama

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Speaker 1: that I've tried so hard to get more people that

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Speaker 1: pay attention to, but no, you know, it was Obama.

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Speaker 1: He was untouchable. You couldn't stop him. Everyone loved him.

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Speaker 1: He's amazing that you guys probably didn't, but a lot

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Speaker 1: of other people did, although their Democrats. To listen to

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Speaker 1: show What's Up Democrat? Team Buck. I know you're you're

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Speaker 1: coming over into the light. I know you are slowly

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Speaker 1: maturely Team Buck, Democrat. You're like, I can't tell my friends,

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Speaker 1: but I listened to this guy and he's smarter and

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Speaker 1: nicer and better at this than all the Democrats are.

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Speaker 1: But I don't want anyone to know. But I still

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Speaker 1: listen to a show. It's cool. You can be Team

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Speaker 1: Bucks delfth mode and we're still very happy to have you.

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Speaker 1: And you don't have to change your party affiliation. You

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Speaker 1: can go independent, maybe maybe tell people you're independent, or

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Speaker 1: you stay Democrat. And I don't know, maybe we're turning

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Speaker 1: into an infiltrator in the Democrat Party to bring us

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Speaker 1: back information. But I have to say, I mean, there's

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Speaker 1: just no way that. Oh sorry. The Barack Obama story.

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Speaker 1: The thing with Obama was that I was gonna leave

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Speaker 1: you on a cliffhanger. There. What's the story about Obama?

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Speaker 1: Buck right after this break, I'll give it to you.

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Speaker 1: He had two political opponents in a row just happened

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Speaker 1: to have by request, if I believe David axel Rod's

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Speaker 1: newspaper at the time, the Chicago Tribune I think it was,

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Speaker 1: but went to court to unseal seal oh, and the

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Speaker 1: judge just happened to say, yeah, I guess we'll unseal

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Speaker 1: those sealed divorce records twice to clear the way with

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Speaker 1: two of Obama's political opponents, not once, but twice. Oh yeah,

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Speaker 1: that's in that convenient folks. Isn't that easy for Obama? There? Anyway?

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Speaker 1: Just trust to go look at it. This guy is

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Speaker 1: something Ryan I think his name might have been Jack Ryan.

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Speaker 1: Actually I'm not producer Mike Check on that one form.

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Speaker 1: I think the guy's name is Jack Ryan, but he

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Speaker 1: was not, in fact, a super government ninja who lives

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Speaker 1: in Georgetown and is on the rowing team. Sounds like

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Speaker 1: somebody else. What's up? That would have been great if

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Speaker 1: it's the real Jack Ryan. Yeah, if real. I mean, look,

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Speaker 1: I vote for the real Jack Ryan. Anyway. They want

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Speaker 1: to create a mental health database past universal background checks.

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Speaker 1: All that means is that people that are selling guns

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Speaker 1: to another individual are going to have to go to

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Speaker 1: a federal firearm licensee and they're gonna have to pay. Pay.

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Speaker 1: Money slows down the transactions. That makes people, and then

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Speaker 1: red flag laws, which leaves a lot of it's all

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Speaker 1: the devil's in the detail with those red flag laws,

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Speaker 1: There's no question about it. So now that I see

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Speaker 1: what they're really planning, this isn't gonna make anything better.

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Speaker 1: And I also just can't accept that the response to

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Speaker 1: a tragedy like what we saw, you know, Passo and Dayton, Ohio,

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Speaker 1: is a politicized Well this wouldn't have stopped it, but

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Speaker 1: let's just do this anyway because we want to. No,

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Speaker 1: I don't want to set that precedent. Speaking of Cuomos,

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Speaker 1: I'm trying to think if I have the other, there's

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Speaker 1: another Cuomo, but this one is on CNN. Nobody needs

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Speaker 1: ten rounds to kill a deer. You guys, remember that

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Speaker 1: it's back in the day. Some of you who are

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Speaker 1: OG squad know what I'm talking about. That was way

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Speaker 1: back when when Governor Cuomo was showing what an ignoramus

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Speaker 1: he was when it came to the Second Amendment. But

425
00:25:57,200 --> 00:26:00,320
Speaker 1: there was another. The other Cuomo, the one who's got

426
00:26:00,320 --> 00:26:04,679
Speaker 1: the show at CNN, has shown that he has no

427
00:26:04,800 --> 00:26:07,240
Speaker 1: under He's basically taking the whole Oh, this was never

428
00:26:07,280 --> 00:26:11,320
Speaker 1: meant to be an individual right, which is just just

429
00:26:11,320 --> 00:26:16,400
Speaker 1: shows a historical and legal illiteracy. Now he's a lawyer technically,

430
00:26:16,520 --> 00:26:19,439
Speaker 1: and I think he went to a Sunnis law school somewhere.

431
00:26:21,000 --> 00:26:23,040
Speaker 1: One other one other factory, folks, And this was making

432
00:26:23,040 --> 00:26:25,080
Speaker 1: the rounds today. Four times as many people, because I

433
00:26:25,119 --> 00:26:28,760
Speaker 1: know there was just a mass stabbing in California. Four

434
00:26:28,800 --> 00:26:33,680
Speaker 1: times as many people die from stabbings every year as

435
00:26:33,760 --> 00:26:36,880
Speaker 1: die from a rifle fire, I should say, from rifles

436
00:26:37,440 --> 00:26:41,240
Speaker 1: four X. And Britain don't think this is just a

437
00:26:41,680 --> 00:26:46,200
Speaker 1: theoretical Britain has thought about having more stringent laws about

438
00:26:46,280 --> 00:26:51,560
Speaker 1: knives and knife bands and all this stuff. So these

439
00:26:51,560 --> 00:26:55,000
Speaker 1: are these are unserious policy solutions that are pushed by

440
00:26:55,000 --> 00:26:59,320
Speaker 1: people who won engage in demagogue gery so they can

441
00:26:59,320 --> 00:27:02,680
Speaker 1: create a sterea of, oh my gosh, we must do something.

442
00:27:02,760 --> 00:27:05,679
Speaker 1: Why is the NRA not want to save lives? You know,

443
00:27:05,680 --> 00:27:08,320
Speaker 1: they just do this whole get everyone whipped up into

444
00:27:08,359 --> 00:27:10,679
Speaker 1: a frenzy. They don't care what the facts are, they

445
00:27:10,720 --> 00:27:14,200
Speaker 1: don't care what the reality maybe. Um, and then they

446
00:27:14,200 --> 00:27:16,240
Speaker 1: try to ram it through while everyone's still so. Look,

447
00:27:16,280 --> 00:27:19,600
Speaker 1: I I was open to hearing about red flag laws.

448
00:27:19,640 --> 00:27:21,440
Speaker 1: The more I've read into them, the more I've seen

449
00:27:21,520 --> 00:27:24,840
Speaker 1: what the other side really has in mind, I'm not

450
00:27:24,880 --> 00:27:28,399
Speaker 1: on board. Not on board. Not a good idea. UM.

451
00:27:28,680 --> 00:27:30,480
Speaker 1: I mean the state states can pass them and have

452
00:27:30,600 --> 00:27:33,720
Speaker 1: passed them. I don't think that more states should follow suit.

453
00:27:33,880 --> 00:27:36,440
Speaker 1: How about this. Give me one example of a time

454
00:27:36,560 --> 00:27:39,040
Speaker 1: credibly that a red flag law looks to have saved lives.

455
00:27:39,040 --> 00:27:46,960
Speaker 1: That's what I would like to know. Uh, let's play

456
00:27:47,000 --> 00:27:50,199
Speaker 1: some of the sound of President Trump back in twenty

457
00:27:50,520 --> 00:27:52,840
Speaker 1: seventeen saying he had said today that he answered the

458
00:27:52,920 --> 00:28:03,679
Speaker 1: question perfectly. Let's take a listen, and you had some

459
00:28:04,320 --> 00:28:07,399
Speaker 1: people in that group, but you also had people that

460
00:28:07,520 --> 00:28:13,040
Speaker 1: were very fine people on both sides. Now, elsewhere in

461
00:28:13,080 --> 00:28:16,720
Speaker 1: this remarks, the President did condemn neo Nazis and white supremacists.

462
00:28:16,720 --> 00:28:18,640
Speaker 1: So he's not saying that the neo Nazis and white

463
00:28:18,640 --> 00:28:20,920
Speaker 1: supremacists are very fine people, but he is saying people

464
00:28:20,960 --> 00:28:24,720
Speaker 1: protesting alongside those neo Nazis and white supremacists are very

465
00:28:24,720 --> 00:28:32,600
Speaker 1: fine people. Why didn't we play the Why didn't Tapper

466
00:28:33,560 --> 00:28:39,240
Speaker 1: play the audio of where Trump did condemn them? Breitbarts

467
00:28:39,360 --> 00:28:44,040
Speaker 1: Joel Pollock confronted Joe Biden on this very same issue

468
00:28:44,080 --> 00:28:46,920
Speaker 1: of oh, because remember they Charlottesville was they got him?

469
00:28:46,960 --> 00:28:48,680
Speaker 1: You know that was with awe, see we got him.

470
00:28:48,680 --> 00:28:51,360
Speaker 1: Trump's are racist. No one really thinks that Trump likes

471
00:28:51,360 --> 00:28:55,760
Speaker 1: that tiki torch idiots. Nobody really thinks that Donald Trump

472
00:28:55,840 --> 00:28:58,720
Speaker 1: is like, yeah, those guys, they're great. It's all lie.

473
00:29:00,200 --> 00:29:03,080
Speaker 1: He was speaking, he was under he was under a

474
00:29:03,160 --> 00:29:06,000
Speaker 1: barrage from the media, and he was trying to speak

475
00:29:06,240 --> 00:29:11,440
Speaker 1: more broadly about people who don't want statues being taken

476
00:29:11,480 --> 00:29:13,880
Speaker 1: down and people who do want statues being taken down.

477
00:29:13,960 --> 00:29:16,960
Speaker 1: He's not saying that the people that are yelling about

478
00:29:17,000 --> 00:29:19,080
Speaker 1: blood and soil are good people. That's not what he

479
00:29:19,160 --> 00:29:21,000
Speaker 1: was saying. We all know it, but they pretend that

480
00:29:21,040 --> 00:29:23,280
Speaker 1: they can't because because later on he said, no, those

481
00:29:23,320 --> 00:29:25,959
Speaker 1: guys are terrible. So why would he say they're terrible

482
00:29:25,960 --> 00:29:30,240
Speaker 1: in the same remarks the same day if his intent

483
00:29:30,320 --> 00:29:32,200
Speaker 1: all along isn't to say that they're terrible, right, This

484
00:29:32,280 --> 00:29:34,480
Speaker 1: is just it's like they were in an interrogation and

485
00:29:34,520 --> 00:29:37,480
Speaker 1: they got him to stumble on something and they go, ah,

486
00:29:37,640 --> 00:29:40,680
Speaker 1: now we've got you. Here's Breitbart's Joel Pollack, who confronted

487
00:29:40,760 --> 00:29:48,400
Speaker 1: Joe Biden about this play fifteen specific he did not,

488
00:29:48,640 --> 00:29:51,240
Speaker 1: he said, he walked out and he said, let's get

489
00:29:51,240 --> 00:29:53,960
Speaker 1: this straight. They said there were very fine people on

490
00:29:54,040 --> 00:30:02,400
Speaker 1: both groups. They're chanting anti Semitic slogans, carrying fla. Pollock

491
00:30:02,560 --> 00:30:04,760
Speaker 1: is like, that's that's not what happened that day, And

492
00:30:04,840 --> 00:30:07,920
Speaker 1: we can keep going back to this, but this is

493
00:30:07,960 --> 00:30:11,640
Speaker 1: because this is a central This is a central media,

494
00:30:12,080 --> 00:30:17,000
Speaker 1: a central media lie that in context, what Trump was

495
00:30:17,040 --> 00:30:20,640
Speaker 1: saying was really meant to be. Yeah, sure that the

496
00:30:20,640 --> 00:30:23,400
Speaker 1: the tiki torch neo Nazis. You know, there were good

497
00:30:23,400 --> 00:30:25,160
Speaker 1: people in that group too. That's of course not what

498
00:30:25,200 --> 00:30:27,720
Speaker 1: the President was saying, but they pretend that that's what

499
00:30:27,760 --> 00:30:30,000
Speaker 1: he says because it makes them feel better to believe

500
00:30:30,120 --> 00:30:33,200
Speaker 1: that that the president is such an awful human being.

501
00:30:33,600 --> 00:30:35,280
Speaker 1: And I mean, you know Joe Biden, who's trying to

502
00:30:35,280 --> 00:30:36,960
Speaker 1: just keep his lead going. Now, he's gonna say whatever

503
00:30:36,960 --> 00:30:38,880
Speaker 1: he asked to. Look, he's Biden the demagogue. This is

504
00:30:38,920 --> 00:30:45,200
Speaker 1: who he always has been, Biden the demagogue. So if

505
00:30:45,240 --> 00:30:47,640
Speaker 1: he's getting tractioned by running around saying that Trump is

506
00:30:47,680 --> 00:30:54,400
Speaker 1: a white supremacist, which is just a horrible thing to say, untrue, nasty, unfair,

507
00:30:56,440 --> 00:31:01,880
Speaker 1: Biden's gonna say it though. Play eighteen. Do you believe

508
00:31:01,960 --> 00:31:05,080
Speaker 1: that the president is a white supremacis? I believe everything

509
00:31:05,120 --> 00:31:08,480
Speaker 1: the President says is done encourages white supremacist And I'm

510
00:31:08,480 --> 00:31:10,640
Speaker 1: not sure there's much of a distinction. As a matter

511
00:31:10,640 --> 00:31:13,280
Speaker 1: of fact. It may be even worse. In fact, if

512
00:31:13,320 --> 00:31:16,960
Speaker 1: you're out there trying to, in fact curry the favor

513
00:31:17,080 --> 00:31:20,040
Speaker 1: of white supremacists or any group that in fact is

514
00:31:20,160 --> 00:31:23,400
Speaker 1: anathem to everything we believe. So whether he is or

515
00:31:23,520 --> 00:31:26,920
Speaker 1: is not a white supremacist, he encourages them. Everything he does,

516
00:31:26,960 --> 00:31:29,360
Speaker 1: he speaks to them, he's afraid to take them on.

517
00:31:29,760 --> 00:31:31,560
Speaker 1: And if you're noticed, the one time he used the

518
00:31:31,600 --> 00:31:34,719
Speaker 1: word white supremacy, he was you know, it was not

519
00:31:34,880 --> 00:31:37,720
Speaker 1: was he talked about sleepy, he was awful sleepy. And

520
00:31:37,720 --> 00:31:41,840
Speaker 1: the way in which he talked about worse. You hear

521
00:31:41,960 --> 00:31:46,040
Speaker 1: Biden said they're worse than white supremacists in his own way,

522
00:31:47,000 --> 00:31:50,360
Speaker 1: worse than a white supremacy. I mean, how much more

523
00:31:50,520 --> 00:31:55,040
Speaker 1: disgraceful and dishonest are things going to get? Here? There

524
00:31:55,080 --> 00:31:57,160
Speaker 1: are people who listen to this and they say, you know,

525
00:31:57,160 --> 00:31:59,880
Speaker 1: they're Democrat. They say, you know, I like Joe Biden,

526
00:32:00,040 --> 00:32:03,960
Speaker 1: I trust Joe Biden. They don't know that the Democrats

527
00:32:04,480 --> 00:32:08,120
Speaker 1: are exaggerating, lying, misleading on this issue. They think, wow,

528
00:32:08,120 --> 00:32:10,560
Speaker 1: the president really is I mean, he's basically David Duke,

529
00:32:11,080 --> 00:32:13,520
Speaker 1: That's what That's what the Democrats are saying. He might

530
00:32:13,520 --> 00:32:17,239
Speaker 1: he might as well be in the KKK, might as

531
00:32:17,280 --> 00:32:19,240
Speaker 1: well be. In fact, Biden might say he's worse than

532
00:32:19,320 --> 00:32:23,480
Speaker 1: somebody in the kk because Biden's a moron. But this

533
00:32:23,560 --> 00:32:28,000
Speaker 1: is where we are, This is what is happening across

534
00:32:28,040 --> 00:32:31,640
Speaker 1: the country, and this is how they get attention from themselves. Oh,

535
00:32:31,680 --> 00:32:34,760
Speaker 1: here's I mean MSNBC. At least Jordan. I remember when

536
00:32:34,760 --> 00:32:36,640
Speaker 1: she used to think that she was a conservative. Now

537
00:32:36,680 --> 00:32:39,280
Speaker 1: she's just a never Trumper who does the bidding like

538
00:32:39,320 --> 00:32:43,640
Speaker 1: a little marionette, my little puppet of the left. Here's

539
00:32:43,640 --> 00:32:50,280
Speaker 1: what she says over on MSNBC nine, very plain and

540
00:32:50,320 --> 00:32:55,840
Speaker 1: obvious that Donald Trump is racist. He uses incendiary racial

541
00:32:56,360 --> 00:33:00,719
Speaker 1: language constantly. I can't believe that. Right now, in twenty

542
00:33:00,840 --> 00:33:05,440
Speaker 1: nineteen America, we are tolerating this kind of language and behavior,

543
00:33:05,480 --> 00:33:08,040
Speaker 1: and there are people who are excusing it, people who

544
00:33:08,040 --> 00:33:11,800
Speaker 1: are leaders who know better. And right now, you work

545
00:33:11,840 --> 00:33:14,120
Speaker 1: at the White House, you own this too, because you're

546
00:33:14,160 --> 00:33:19,000
Speaker 1: supporting and uplifting Donald Trump's racist regime. She used to

547
00:33:19,040 --> 00:33:20,840
Speaker 1: go on Real News in the Blaze. She used to

548
00:33:20,880 --> 00:33:22,800
Speaker 1: appear sometimes as a guest on that show, and I

549
00:33:22,840 --> 00:33:25,520
Speaker 1: was one of the hosts. Miss she was all about

550
00:33:25,520 --> 00:33:29,880
Speaker 1: the tea party, you know. Conservative. Oh yeah, now it's whatever,

551
00:33:29,920 --> 00:33:32,880
Speaker 1: It's a puppet whatever MSNBC wants her to say, do do.

552
00:33:33,040 --> 00:33:35,920
Speaker 1: I'll just attack Republicans, I'll attack Trump, call him a racist.

553
00:33:37,160 --> 00:33:39,160
Speaker 1: If you work at the White House, you own this too.

554
00:33:39,200 --> 00:33:41,120
Speaker 1: They want to smear everybody around him. They want to

555
00:33:41,120 --> 00:33:42,920
Speaker 1: isolate the president. They want to. They want to make

556
00:33:42,920 --> 00:33:46,520
Speaker 1: it impossible to be a person of good character and

557
00:33:46,600 --> 00:33:49,400
Speaker 1: still work with this president. That's their plan, that's the plot.

558
00:33:51,200 --> 00:33:55,000
Speaker 1: It's disgusting. You guys all know that I'm I'm a

559
00:33:55,000 --> 00:34:01,040
Speaker 1: fan of Tea Money Carlson Alston as Tucker crossing Tucker is.

560
00:34:02,600 --> 00:34:05,760
Speaker 1: He's doing so much good work on Fox News, and

561
00:34:05,760 --> 00:34:07,480
Speaker 1: I always appreciate this too. There's some guys in the

562
00:34:07,480 --> 00:34:09,880
Speaker 1: TV business who could do a lot more for the

563
00:34:10,200 --> 00:34:12,960
Speaker 1: buster here, and they just for whatever reason, on our team,

564
00:34:13,000 --> 00:34:15,080
Speaker 1: they choose not to not gonna name names, but some

565
00:34:15,120 --> 00:34:17,160
Speaker 1: of them just choose not to help, not to put

566
00:34:17,200 --> 00:34:19,160
Speaker 1: me on their show. And even though they know that

567
00:34:19,200 --> 00:34:22,160
Speaker 1: I'm as good as anybody else at this stuff, Tucker

568
00:34:22,440 --> 00:34:25,440
Speaker 1: is very generous. Ducker likes to have me on his show,

569
00:34:25,520 --> 00:34:27,799
Speaker 1: which I appreciate because I'm good on his show, and

570
00:34:27,880 --> 00:34:29,959
Speaker 1: he's good on his show, and it makes for good TV.

571
00:34:30,600 --> 00:34:33,359
Speaker 1: Here's Tucker, though, getting to a core point about all

572
00:34:33,360 --> 00:34:36,680
Speaker 1: this Trump is racist stuff. Play twelve. It is now

573
00:34:36,719 --> 00:34:39,799
Speaker 1: telling you and demanding that you believe that anyone who

574
00:34:39,840 --> 00:34:44,160
Speaker 1: supports Donald Trump is a white supremacist and must be destroyed.

575
00:34:44,719 --> 00:34:46,680
Speaker 1: Now they're telling you that for political reasons. This is

576
00:34:46,760 --> 00:34:49,680
Speaker 1: election season, obviously, and they want more political power. But

577
00:34:49,719 --> 00:34:52,160
Speaker 1: there are other reasons too that they're saying this. Ever,

578
00:34:52,239 --> 00:34:55,520
Speaker 1: wonder why rich people seem the most hysterical on the subject.

579
00:34:55,760 --> 00:34:58,719
Speaker 1: Ever noticed that it's the highest paid people on television

580
00:34:58,719 --> 00:35:00,840
Speaker 1: who are the most of term And to convince you

581
00:35:00,880 --> 00:35:04,960
Speaker 1: that white supremacy is America's biggest problem. Why is that simple?

582
00:35:05,600 --> 00:35:08,279
Speaker 1: Every minute you're angry about race is a minute you're

583
00:35:08,280 --> 00:35:11,440
Speaker 1: not thinking about class, which, of course is the real

584
00:35:11,520 --> 00:35:14,880
Speaker 1: divide in this country. Working class people of all colors

585
00:35:15,080 --> 00:35:17,720
Speaker 1: have a lot more in common, infinitely more in common

586
00:35:17,760 --> 00:35:21,400
Speaker 1: with each other than they do with some overpaid MSNBC anchor.

587
00:35:21,680 --> 00:35:23,319
Speaker 1: And if you were allowed to think about that for

588
00:35:23,400 --> 00:35:27,040
Speaker 1: long enough, you might start to get unauthorized ideas about economics,

589
00:35:27,320 --> 00:35:30,319
Speaker 1: and that would be disruptive to a very lucrative status quo.

590
00:35:31,040 --> 00:35:33,959
Speaker 1: So they whip you into a frenzy of racial fear

591
00:35:34,000 --> 00:35:36,759
Speaker 1: so that it never enters your mind. It's a diversion.

592
00:35:37,360 --> 00:35:40,120
Speaker 1: Everyone else hates each other. They get to keep their money.

593
00:35:40,320 --> 00:35:43,840
Speaker 1: Pretty tricky. Unfortunately, it's also destroying the country. This is

594
00:35:43,880 --> 00:35:47,560
Speaker 1: the path to civil war. Obviously, we'll be right back.

595
00:35:51,040 --> 00:35:55,560
Speaker 1: Is not just eleven years. We got about ten years

596
00:35:55,800 --> 00:35:59,120
Speaker 1: before we lose the opportunity to stop the erosion that's

597
00:35:59,120 --> 00:36:02,440
Speaker 1: occurring now. First thing I would do as president of

598
00:36:02,440 --> 00:36:05,319
Speaker 1: the United States, I'd rejoin the Parish Climate Accord, which

599
00:36:05,360 --> 00:36:09,040
Speaker 1: I helped put together. And but one other thing people

600
00:36:09,040 --> 00:36:12,000
Speaker 1: don't know about that accord. It calls for what we negotiated.

601
00:36:12,320 --> 00:36:15,360
Speaker 1: It requires those one hundred and ninety some nations to

602
00:36:15,560 --> 00:36:19,480
Speaker 1: up the anti every two years. Folks, we are responsible

603
00:36:19,520 --> 00:36:24,640
Speaker 1: for fifteen percent of global warming. Joe Biden's just not

604
00:36:24,760 --> 00:36:29,520
Speaker 1: very smart. He might win the Democratic nomination anyway, but

605
00:36:29,640 --> 00:36:33,160
Speaker 1: he's lost a step. He's too old, and he was

606
00:36:33,239 --> 00:36:36,600
Speaker 1: never very smart. Here he is saying that, you know

607
00:36:36,840 --> 00:36:40,439
Speaker 1: right away he'd rejoin the Paris Climate Accord. Yeah, because

608
00:36:40,480 --> 00:36:43,000
Speaker 1: one hundred ninety countries are really going to be held

609
00:36:43,040 --> 00:36:47,759
Speaker 1: to standards of climate change that are meaningful, like the Chinese,

610
00:36:47,800 --> 00:36:51,919
Speaker 1: the Indians, and other countries are really going to put

611
00:36:52,200 --> 00:36:56,960
Speaker 1: enormous artificial constraints on the economic growth because a bunch

612
00:36:57,000 --> 00:37:00,240
Speaker 1: of religious zealots, which is what climate change catastrophes are,

613
00:37:00,000 --> 00:37:04,040
Speaker 1: are claiming that we have ten years to save the planet.

614
00:37:04,640 --> 00:37:06,719
Speaker 1: I don't know what to say. Then, This is all

615
00:37:06,760 --> 00:37:08,440
Speaker 1: you have to have is common sense, and you know

616
00:37:08,480 --> 00:37:11,160
Speaker 1: that these people are nuts. It's all you have to have,

617
00:37:12,520 --> 00:37:17,040
Speaker 1: the same voices, the same models, wrong, wrong and wrong again.

618
00:37:18,840 --> 00:37:23,720
Speaker 1: They don't practice what they preach, and they love preaching

619
00:37:23,760 --> 00:37:26,239
Speaker 1: it though. You know. This is what I always say.

620
00:37:26,520 --> 00:37:28,680
Speaker 1: I'm not trying to start a whole vaccine discussion here

621
00:37:28,680 --> 00:37:31,080
Speaker 1: because some of you get very contentious with me about that,

622
00:37:31,120 --> 00:37:34,680
Speaker 1: and you're entitled to. But every doctor I know who

623
00:37:34,960 --> 00:37:37,640
Speaker 1: says vaccinations are safe and you should do them, every

624
00:37:37,640 --> 00:37:39,239
Speaker 1: single one I've ever talked to, and I've talked to

625
00:37:39,280 --> 00:37:42,000
Speaker 1: many of them about this, have been vaccinated and they

626
00:37:42,040 --> 00:37:44,520
Speaker 1: get their kids vaccinated. If they just had a newborn,

627
00:37:44,560 --> 00:37:47,600
Speaker 1: guess what the newborn's going through the standard vaccination protocol.

628
00:37:47,800 --> 00:37:50,839
Speaker 1: So whether you agree or disagree, at least we can

629
00:37:50,880 --> 00:37:54,120
Speaker 1: all agree that they are living. They are practicing what

630
00:37:54,160 --> 00:37:57,760
Speaker 1: they preach. The people most precious to them they think

631
00:37:58,040 --> 00:38:00,920
Speaker 1: should be vaccinated. I've never come across an MD that

632
00:38:01,120 --> 00:38:04,160
Speaker 1: that was not the case. All I come across with

633
00:38:04,239 --> 00:38:08,719
Speaker 1: the loudest voices on climate change are individuals who were like, oh,

634
00:38:09,120 --> 00:38:12,279
Speaker 1: you should stop eating like, you know, meat, and but

635
00:38:12,320 --> 00:38:14,520
Speaker 1: I'm going to take a private jet to this climate

636
00:38:14,600 --> 00:38:20,400
Speaker 1: change conference because I'm really important and it is a

637
00:38:20,400 --> 00:38:22,560
Speaker 1: religious belief. If you don't think that that's the case.

638
00:38:23,640 --> 00:38:26,279
Speaker 1: You know, Frank Luntz, who I don't know. I guess

639
00:38:26,280 --> 00:38:28,080
Speaker 1: he wants to be a little more popular with the Libs.

640
00:38:28,080 --> 00:38:31,120
Speaker 1: He wants some good Lib press. He's now decided that

641
00:38:31,200 --> 00:38:34,920
Speaker 1: he is. He was a climate change skeptic, but now

642
00:38:34,960 --> 00:38:36,840
Speaker 1: he's come over into the light, you know, and and

643
00:38:36,960 --> 00:38:39,600
Speaker 1: oh man, it's look, it's good. On the other side,

644
00:38:39,719 --> 00:38:41,279
Speaker 1: I always say, these people, if I really wanted to

645
00:38:41,320 --> 00:38:43,719
Speaker 1: have a nice life and make money and you know,

646
00:38:44,880 --> 00:38:47,839
Speaker 1: have beautiful women clapping for me every time I went

647
00:38:47,920 --> 00:38:50,759
Speaker 1: on TV, over at MSNBC and CNN, you know, and

648
00:38:50,880 --> 00:38:55,120
Speaker 1: the whole thing, I would be a LIB because it's

649
00:38:55,120 --> 00:38:57,360
Speaker 1: so much easier. You know. You get all the celebrity

650
00:38:57,400 --> 00:38:58,919
Speaker 1: all the and I meant when I meant beautiful women,

651
00:38:58,960 --> 00:39:01,800
Speaker 1: I meant like the celebrity. You know, I'd get the

652
00:39:02,160 --> 00:39:05,200
Speaker 1: various actresses would say, oh, he's so good on telling. Instead,

653
00:39:05,239 --> 00:39:07,879
Speaker 1: I get, you know, people telling me that I'm part

654
00:39:07,880 --> 00:39:11,879
Speaker 1: of the dark, dark psychic force or whatever. I get.

655
00:39:11,960 --> 00:39:14,960
Speaker 1: You know, I get told that I'm destroying the country

656
00:39:14,960 --> 00:39:18,400
Speaker 1: by all my favorite, my favorite female actresses, the ones

657
00:39:18,440 --> 00:39:21,680
Speaker 1: who at least have come across my work. But Frank,

658
00:39:21,760 --> 00:39:23,399
Speaker 1: I don't know what his deal is. He decided these

659
00:39:23,440 --> 00:39:29,000
Speaker 1: he's switching teams, and you know he's he's not allowed back.

660
00:39:29,120 --> 00:39:30,799
Speaker 1: According to the New Republic, this is what I thought

661
00:39:30,880 --> 00:39:36,560
Speaker 1: was fascinating, Climate reformed. Climate deniers don't deserve redemption. According

662
00:39:36,560 --> 00:39:39,320
Speaker 1: to the New Republic, which is a lefty a lefty

663
00:39:39,440 --> 00:39:43,080
Speaker 1: rag online, democrats are seeking advice from people who wants

664
00:39:43,120 --> 00:39:47,000
Speaker 1: opposed action on global warming. They should be seeking accountability. See, folks,

665
00:39:47,480 --> 00:39:51,200
Speaker 1: they they want to punish heretics more than they want

666
00:39:51,239 --> 00:39:54,840
Speaker 1: to make converts on climate change. Because what's the best

667
00:39:54,880 --> 00:39:57,400
Speaker 1: thing about climate change? Really? What is the thing about

668
00:39:57,440 --> 00:40:02,479
Speaker 1: it that is so seductive? It's yeah, people that believe

669
00:40:02,520 --> 00:40:04,800
Speaker 1: in climate change. It gives them a sense of purpose.

670
00:40:05,680 --> 00:40:07,960
Speaker 1: It makes them think that they're part of the smart set.

671
00:40:08,000 --> 00:40:10,239
Speaker 1: You know, they like science. You know, whether you're a

672
00:40:10,239 --> 00:40:12,200
Speaker 1: man or a woman has nothing to do with your genitalia,

673
00:40:12,320 --> 00:40:14,560
Speaker 1: they say, But you know, they believe in climate change,

674
00:40:14,600 --> 00:40:18,880
Speaker 1: so they like science. And these people are nuts. But

675
00:40:19,000 --> 00:40:22,960
Speaker 1: the single most seductive part of climate change for libs

676
00:40:22,960 --> 00:40:26,400
Speaker 1: and for the leftist mentality is that you get to

677
00:40:26,400 --> 00:40:29,280
Speaker 1: think you're better than other people just because you agree

678
00:40:29,320 --> 00:40:32,920
Speaker 1: with this one thing. You're a better human being, and

679
00:40:33,400 --> 00:40:35,480
Speaker 1: they don't want that to be taken away from them

680
00:40:36,080 --> 00:40:38,800
Speaker 1: because it's a great They talk about otherising on the

681
00:40:38,840 --> 00:40:40,759
Speaker 1: left all the time. What better otherising could there be?

682
00:40:41,120 --> 00:40:43,960
Speaker 1: Then you're so backwards in your thinking as a climate

683
00:40:44,040 --> 00:40:48,160
Speaker 1: change skeptic or denier. Remember they use the term denier

684
00:40:48,760 --> 00:40:56,440
Speaker 1: explicitly to link questioning climate catastrophe with holocaust denial, because

685
00:40:56,480 --> 00:41:00,759
Speaker 1: you're in that same category of moral Reproba eight if

686
00:41:00,760 --> 00:41:04,080
Speaker 1: you have any questions about climate change. Meanwhile, every every

687
00:41:04,560 --> 00:41:07,239
Speaker 1: honest and real scientist, the reason they don't appear on

688
00:41:07,239 --> 00:41:10,000
Speaker 1: TV is because if you made them appear on TV

689
00:41:10,120 --> 00:41:12,879
Speaker 1: and ask them, hold on a second. The IPCC report,

690
00:41:12,920 --> 00:41:15,160
Speaker 1: which they always talk about, does it really say the

691
00:41:15,160 --> 00:41:17,160
Speaker 1: world's gonna end in twelve years? Or does it say

692
00:41:17,239 --> 00:41:19,919
Speaker 1: that if X, Y, Z and a bunch of other

693
00:41:19,920 --> 00:41:23,040
Speaker 1: things happen in the worst possible way they could happen,

694
00:41:23,400 --> 00:41:26,520
Speaker 1: we could have catastrophic warming in fifty years. But we

695
00:41:26,600 --> 00:41:28,080
Speaker 1: also have a whole bunch of ways where we could

696
00:41:28,080 --> 00:41:32,000
Speaker 1: have no catastrophic warming whatsoever. According to the Intergovernmental Panel

697
00:41:32,160 --> 00:41:35,759
Speaker 1: on Climate Change un report. Any honest scientists would have

698
00:41:35,840 --> 00:41:39,279
Speaker 1: to say, yeah, there's there's plenty of ways that even

699
00:41:39,440 --> 00:41:41,359
Speaker 1: even if you believe all their models and everything else.

700
00:41:41,360 --> 00:41:43,719
Speaker 1: And I don't even believe their models. Their models just

701
00:41:43,800 --> 00:41:45,239
Speaker 1: make it up as they go along. I mean, their

702
00:41:45,239 --> 00:41:49,799
Speaker 1: models are a joke. Even if you believe everything, there's

703
00:41:49,800 --> 00:41:53,520
Speaker 1: still a very serious, very realistic chance that nothing would

704
00:41:53,520 --> 00:41:56,960
Speaker 1: happen based on their own But they just picked the

705
00:41:56,960 --> 00:42:00,080
Speaker 1: worst case scenario based on data that's being fudged with

706
00:42:00,160 --> 00:42:04,359
Speaker 1: a million different ways anyway. But they want to make

707
00:42:04,360 --> 00:42:06,080
Speaker 1: sure that if you've ever been on the wrong side

708
00:42:06,120 --> 00:42:08,160
Speaker 1: of this, they don't really want you to switch teams.

709
00:42:08,280 --> 00:42:10,600
Speaker 1: They prefer to have you there so you can continue

710
00:42:10,640 --> 00:42:14,200
Speaker 1: to take abuse. You're the bad guy. You're on the

711
00:42:14,280 --> 00:42:16,440
Speaker 1: bad side of this. You want of the bad people

712
00:42:17,840 --> 00:42:21,120
Speaker 1: if you want to know how bad they are. Get

713
00:42:21,120 --> 00:42:30,880
Speaker 1: ready for all kinds of moralizing on meat. Oh yes, friends,

714
00:42:30,920 --> 00:42:35,520
Speaker 1: they're coming for your bacon. You heard it here. First,

715
00:42:35,840 --> 00:42:39,319
Speaker 1: there's a big movie coming out this fall. Schwartzenegger's in it.

716
00:42:39,920 --> 00:42:42,439
Speaker 1: This guy who I think is the world's strongest man,

717
00:42:42,719 --> 00:42:45,319
Speaker 1: is in it. You know, they're the line I've seen

718
00:42:45,360 --> 00:42:47,280
Speaker 1: the trailer for it. They do this. He has this line,

719
00:42:47,320 --> 00:42:49,320
Speaker 1: you know, do you do you ever worry? Do you

720
00:42:49,400 --> 00:42:51,319
Speaker 1: ever hear strong as an ox? We ever seen an

721
00:42:51,360 --> 00:42:56,200
Speaker 1: ox eat meat? Oxes are very large and don't move

722
00:42:56,239 --> 00:42:58,080
Speaker 1: particularly fast. So I'm not really sure I want to

723
00:42:58,480 --> 00:43:01,760
Speaker 1: mimic an ox is metabolic rate and all that, But anyway,

724
00:43:02,880 --> 00:43:05,040
Speaker 1: there's going to be a war on meat coming your way.

725
00:43:05,200 --> 00:43:09,400
Speaker 1: I'm serious. Wall Street Journal Today has a piece climate

726
00:43:09,440 --> 00:43:14,680
Speaker 1: experts advise eating more vegetables less meat. After issuing a

727
00:43:14,719 --> 00:43:20,480
Speaker 1: new report detailing farming's contribution to warming, researchers suggested diet

728
00:43:20,600 --> 00:43:25,239
Speaker 1: changes to reduce the impact. Researchers have said that people

729
00:43:25,239 --> 00:43:28,240
Speaker 1: should consider eating more vegetables. The switch may help slow

730
00:43:28,280 --> 00:43:33,200
Speaker 1: greenhouse gas emissions because farming vegetables releases less greenhouse gases

731
00:43:33,200 --> 00:43:36,920
Speaker 1: than livestock production. Diets that are rich in plant based

732
00:43:36,920 --> 00:43:40,520
Speaker 1: foods have lower greenhouse gas emissions than diets heavy in

733
00:43:40,560 --> 00:43:46,040
Speaker 1: red meat consumption. According to climatologist Cynthia Rosenswig, who's at

734
00:43:46,120 --> 00:43:52,400
Speaker 1: NASA's Goddard Institute for Space Studies, Folks, this is the

735
00:43:52,440 --> 00:43:55,160
Speaker 1: cow fart thing. They're not going to call it that,

736
00:43:55,280 --> 00:43:57,839
Speaker 1: but this is here. We are again being told by

737
00:43:57,880 --> 00:44:00,440
Speaker 1: scientists going into an election year in this country, of course,

738
00:44:00,760 --> 00:44:08,880
Speaker 1: eat more veggies because the cow farts are destroying the world. This,

739
00:44:08,880 --> 00:44:12,200
Speaker 1: this is what we have to deal with. It's stunning,

740
00:44:12,719 --> 00:44:15,760
Speaker 1: but they won't stop. They are coming for your bacon,

741
00:44:16,080 --> 00:44:19,200
Speaker 1: They're coming for your porterhouse, God forbid, They're coming for

742
00:44:19,280 --> 00:44:22,560
Speaker 1: your ribi. They're going to tell you what you can

743
00:44:22,560 --> 00:44:25,240
Speaker 1: and can't eat. And if they're in charge and the government,

744
00:44:25,239 --> 00:44:27,400
Speaker 1: guess what they're going to regulate. You know. This is

745
00:44:27,840 --> 00:44:30,840
Speaker 1: another version of the socialist mindset as well. If we

746
00:44:30,920 --> 00:44:34,359
Speaker 1: can't control the market by owning it and running it,

747
00:44:34,440 --> 00:44:39,160
Speaker 1: we'll control it through oh, you guessed it. Regulation. We'll

748
00:44:39,239 --> 00:44:42,880
Speaker 1: direct all market based activity through just regulation. This is

749
00:44:42,920 --> 00:44:46,840
Speaker 1: another way that the socialist statist mentality inflicts itself on

750
00:44:46,880 --> 00:44:50,279
Speaker 1: all the rest of us. I'm going to tell you this,

751
00:44:50,320 --> 00:44:51,799
Speaker 1: and you're not. You're gonna think that I make this up.

752
00:44:51,800 --> 00:44:53,120
Speaker 1: But I even read a piece I think it was

753
00:44:53,120 --> 00:44:57,480
Speaker 1: a week ago that was about reformed vegetarians. I kid

754
00:44:57,520 --> 00:45:00,480
Speaker 1: you not, who now say I think they might have

755
00:45:00,520 --> 00:45:04,040
Speaker 1: even ben vegans, which the whole other thing. But there

756
00:45:04,040 --> 00:45:06,680
Speaker 1: were formed vegetarians for sure who are saying, no, you

757
00:45:06,719 --> 00:45:10,160
Speaker 1: should eat meat because a lot of the plant based

758
00:45:10,160 --> 00:45:14,359
Speaker 1: crops are so water and resource intensive that it's better

759
00:45:14,360 --> 00:45:16,800
Speaker 1: to have a balanced diet. That's better for the environment. Folks,

760
00:45:16,800 --> 00:45:21,520
Speaker 1: they don't know, No one really knows. There is a

761
00:45:22,080 --> 00:45:24,560
Speaker 1: twenty five percent of the world, and particularly in the

762
00:45:24,600 --> 00:45:27,600
Speaker 1: major cities of the world, water scarcity is becoming a

763
00:45:27,640 --> 00:45:31,240
Speaker 1: major issue. You know what, some of the worst crops

764
00:45:31,280 --> 00:45:36,040
Speaker 1: are globally for water usage. Rice, I think soybeans are

765
00:45:36,080 --> 00:45:37,919
Speaker 1: up there too, I know rices though. I mean there's

766
00:45:38,080 --> 00:45:43,000
Speaker 1: very water intensive crops out there. So you're just you know,

767
00:45:43,000 --> 00:45:45,719
Speaker 1: they're they're always going to run these scare campaigns to

768
00:45:45,760 --> 00:45:50,640
Speaker 1: get you to do what they want. Here's what I say, Shields, Hie,

769
00:45:50,640 --> 00:45:53,759
Speaker 1: eat your steak, eat your bacon. Just have it be

770
00:45:53,760 --> 00:45:57,800
Speaker 1: a balanced meal. You know, steak and bacon, that's balance.

771
00:46:01,760 --> 00:46:03,880
Speaker 1: You know. The Green New Deal says we need to

772
00:46:03,880 --> 00:46:07,400
Speaker 1: get rid of cows. I don't agree with that because

773
00:46:07,520 --> 00:46:12,080
Speaker 1: well managed grassland where you rotationally graze to all these

774
00:46:12,080 --> 00:46:17,320
Speaker 1: paddocks like that system there has about eight different paddocks.

775
00:46:18,400 --> 00:46:22,160
Speaker 1: You're actually going to use more CEO two and sequester

776
00:46:22,360 --> 00:46:25,640
Speaker 1: more carbon because of the red growth all the time.

777
00:46:26,640 --> 00:46:30,160
Speaker 1: And yet you know that's a permanent pasture. So anyway,

778
00:46:30,719 --> 00:46:35,560
Speaker 1: my point is we have become so ignorant of the

779
00:46:35,640 --> 00:46:42,839
Speaker 1: basic principles of biologic biology in food production that we

780
00:46:42,920 --> 00:46:48,880
Speaker 1: have said we answer them all through technology instead of

781
00:46:49,760 --> 00:46:55,920
Speaker 1: letting Mother Earth and having respect. Oh wow, you mean

782
00:46:55,960 --> 00:46:59,359
Speaker 1: an actual farmer in Iowa doesn't agree with the Green

783
00:46:59,440 --> 00:47:03,920
Speaker 1: New Deal insanity. This is where I tell you if

784
00:47:03,920 --> 00:47:06,160
Speaker 1: you want to, if you want to read a very

785
00:47:06,239 --> 00:47:12,280
Speaker 1: academic and dry but excellent treatment of why central planning fails.

786
00:47:13,080 --> 00:47:19,640
Speaker 1: Read seeing like a state German forest forestry smartest minds

787
00:47:19,640 --> 00:47:23,560
Speaker 1: in all of Germany in the late nineteenth century say,

788
00:47:23,600 --> 00:47:25,360
Speaker 1: I've got a good idea. If we want trees that

789
00:47:25,400 --> 00:47:28,640
Speaker 1: we can harvest, let's plant them in rows. Let's plant

790
00:47:28,680 --> 00:47:31,840
Speaker 1: them perfectly spaced apart. Let's plant one type of tree

791
00:47:32,239 --> 00:47:36,320
Speaker 1: this way. We have all the same implements. We can

792
00:47:36,440 --> 00:47:40,600
Speaker 1: standardize everything, we can count everything, We know what yield

793
00:47:40,600 --> 00:47:42,520
Speaker 1: will get and it will be fantastic. You know what

794
00:47:42,520 --> 00:47:48,919
Speaker 1: the problem was with the state German forestry. They didn't

795
00:47:48,920 --> 00:47:52,960
Speaker 1: really have anybody who understood how a forest works. They

796
00:47:53,000 --> 00:47:56,560
Speaker 1: didn't understand that you need undergrowth and you need trees

797
00:47:56,600 --> 00:47:59,160
Speaker 1: to burn, you need things to happen You need there

798
00:47:59,160 --> 00:48:05,120
Speaker 1: to be radio diversity because you could have species die

799
00:48:05,200 --> 00:48:07,920
Speaker 1: off in a certain area, especially if you have a

800
00:48:07,960 --> 00:48:11,200
Speaker 1: different anti you know, tree fungus and other things that

801
00:48:11,280 --> 00:48:15,680
Speaker 1: come along. You want diversity of the different kinds of plants.

802
00:48:15,920 --> 00:48:18,320
Speaker 1: There's a reason that forests look the way they do,

803
00:48:18,480 --> 00:48:20,480
Speaker 1: and they don't look like they were built by a robot.

804
00:48:22,120 --> 00:48:25,240
Speaker 1: Actually there's actually a sense to mother nature. It's beyond

805
00:48:25,400 --> 00:48:28,080
Speaker 1: just But you know, they had to figure it out

806
00:48:28,080 --> 00:48:30,280
Speaker 1: the hard way. They had to have whole whole forests

807
00:48:30,280 --> 00:48:32,480
Speaker 1: just die off because they had only one kind of

808
00:48:32,520 --> 00:48:35,720
Speaker 1: tree and then all of a sudden something came along

809
00:48:35,760 --> 00:48:37,719
Speaker 1: and kill all the trees and they didn't know what

810
00:48:37,719 --> 00:48:41,399
Speaker 1: they were doing. They didn't have as rich soil afterwards either,

811
00:48:41,440 --> 00:48:44,600
Speaker 1: because there's just so much I mean, they completely mess

812
00:48:44,680 --> 00:48:48,960
Speaker 1: the whole thing up. But this is just another another

813
00:48:49,040 --> 00:48:55,680
Speaker 1: instance of improvisation at a local level. That is, this

814
00:48:55,760 --> 00:49:00,400
Speaker 1: is the constant failure of central planning. Comes the lack

815
00:49:00,440 --> 00:49:05,160
Speaker 1: of ability to make individualized, localized decisions based on data,

816
00:49:05,320 --> 00:49:07,839
Speaker 1: data that generally comes from the market, but also just

817
00:49:08,320 --> 00:49:12,440
Speaker 1: comes from being there on the ground, right. You know,

818
00:49:12,840 --> 00:49:14,399
Speaker 1: this is you know, if you've got to if you've

819
00:49:14,400 --> 00:49:17,320
Speaker 1: got to take this. It's almost like a battlefield tactic situation.

820
00:49:17,719 --> 00:49:20,759
Speaker 1: If you've got a sniper on a foreign battlefield. If

821
00:49:20,760 --> 00:49:22,520
Speaker 1: we've got one of our guys, we've got a you know,

822
00:49:22,640 --> 00:49:26,520
Speaker 1: marine sniper and he's getting ready to take the shot.

823
00:49:27,600 --> 00:49:29,879
Speaker 1: Is that sniper and the spotter or they are they

824
00:49:29,920 --> 00:49:33,359
Speaker 1: the ones best situated to pull that trigger and make

825
00:49:33,360 --> 00:49:36,080
Speaker 1: that determination? Or should they call back to a guy

826
00:49:36,600 --> 00:49:38,360
Speaker 1: on you know, in the e Ring of the Pentagon,

827
00:49:38,880 --> 00:49:42,200
Speaker 1: who's talking to a guy who's you know, in Baghdad,

828
00:49:42,280 --> 00:49:45,399
Speaker 1: who's talking to a guy who's in Mosul. Who's then

829
00:49:45,480 --> 00:49:49,400
Speaker 1: really you know, no, you want localized decision making for

830
00:49:49,640 --> 00:49:52,839
Speaker 1: a local outcome. And this is why central planning always fails.

831
00:49:52,840 --> 00:49:56,880
Speaker 1: This is why the Green New Deal fails. Um speaking

832
00:49:56,920 --> 00:49:59,840
Speaker 1: of I don't really have a I don't really have

833
00:49:59,840 --> 00:50:03,759
Speaker 1: a perfect transition here the Castro tweet. I just want

834
00:50:03,760 --> 00:50:05,360
Speaker 1: to get in this for a couple of minutes again,

835
00:50:06,440 --> 00:50:08,399
Speaker 1: because you know Donna Brazil some of you. I did

836
00:50:08,440 --> 00:50:11,480
Speaker 1: to Donna Brazil's show, or rather I did Outnumbered on

837
00:50:11,520 --> 00:50:14,239
Speaker 1: Fox News with Donna Brazil pretty recently, and I will

838
00:50:14,280 --> 00:50:16,239
Speaker 1: say she's very charming lady. She's very nice to me.

839
00:50:16,440 --> 00:50:19,080
Speaker 1: Off off camera, and I always appreciate that. I like

840
00:50:19,200 --> 00:50:21,399
Speaker 1: happy warriors. I like people that, you know, they want

841
00:50:21,400 --> 00:50:22,960
Speaker 1: to disagree on air and they want to put out

842
00:50:23,000 --> 00:50:25,319
Speaker 1: their ideas, but then they're decent human beings off air.

843
00:50:25,320 --> 00:50:27,400
Speaker 1: I always, I always appreciate it because not everyone's like that,

844
00:50:29,080 --> 00:50:31,120
Speaker 1: but Donna, Donna's very friendly offer I will tell you,

845
00:50:31,160 --> 00:50:32,759
Speaker 1: and some of you are. You can boom me, but

846
00:50:32,800 --> 00:50:35,440
Speaker 1: I speak the truth. Van Jones was also always a

847
00:50:35,520 --> 00:50:39,279
Speaker 1: very friendly guy, offset very very well mannered. He just

848
00:50:39,480 --> 00:50:43,960
Speaker 1: was you know, there are others who were horrible. Ruler

849
00:50:44,040 --> 00:50:49,200
Speaker 1: Gibrawl horrible, Anna Navarro horrible. I mean I could name

850
00:50:49,280 --> 00:50:53,040
Speaker 1: a whole bunch of different different people. Anderson Cooper never

851
00:50:53,080 --> 00:50:54,440
Speaker 1: say a word to me every time I'm in the

852
00:50:54,480 --> 00:50:56,600
Speaker 1: Greenham never had a word, just never like, hey man,

853
00:50:56,600 --> 00:51:00,279
Speaker 1: what's up? Nothing like I did not exist. So you know,

854
00:51:00,560 --> 00:51:05,160
Speaker 1: some people are cool, some people some people suck just reality.

855
00:51:05,239 --> 00:51:08,440
Speaker 1: But Donna's actually pretty cool. I don't like her ideas,

856
00:51:08,680 --> 00:51:11,960
Speaker 1: but she's a cool lady. Here's what she said about

857
00:51:11,960 --> 00:51:15,000
Speaker 1: the Castro tweet. Let's call good out when it's good

858
00:51:15,000 --> 00:51:21,120
Speaker 1: and this is good play one when you decide in

859
00:51:21,640 --> 00:51:26,680
Speaker 1: a political rally on Twitter social media to put names out.

860
00:51:26,840 --> 00:51:29,799
Speaker 1: You put people in jeopardy, you put you put them

861
00:51:29,840 --> 00:51:32,200
Speaker 1: in jeopardy because you don't put the context. This is

862
00:51:32,239 --> 00:51:35,200
Speaker 1: a First Amendment right to contribute to any candidate. I

863
00:51:35,280 --> 00:51:39,280
Speaker 1: don't like the what I call uh, you know, people

864
00:51:39,360 --> 00:51:42,239
Speaker 1: coming at you simply because you're doing your job while

865
00:51:42,280 --> 00:51:49,200
Speaker 1: you're supporting a candidate. Yep, that's right. It's gross. See,

866
00:51:49,239 --> 00:51:52,440
Speaker 1: even some old school Democrats know that this is crossing

867
00:51:52,440 --> 00:51:55,400
Speaker 1: a line. This is this has gone too far. And

868
00:51:55,440 --> 00:51:59,800
Speaker 1: what Joaking Castro did was disgraceful. And anybody, including Joe Scarborough,

869
00:51:59,800 --> 00:52:03,200
Speaker 1: who look, I understand Joe Scarborough's deal. He's just obsessed

870
00:52:03,200 --> 00:52:05,360
Speaker 1: with Joe Scarborough and will do anything and say anything

871
00:52:06,160 --> 00:52:07,520
Speaker 1: as long as he gets to keep a show at

872
00:52:07,560 --> 00:52:10,560
Speaker 1: MSNBC and keep making you know, millions of dollars a

873
00:52:10,640 --> 00:52:12,600
Speaker 1: year to do a job that a lot of people

874
00:52:12,600 --> 00:52:15,200
Speaker 1: would be better at for you know, a couple one

875
00:52:15,239 --> 00:52:18,839
Speaker 1: hundred grand really honestly, but you know he'll say whatever

876
00:52:18,840 --> 00:52:20,000
Speaker 1: you have to say. I mean, this is a guy

877
00:52:20,000 --> 00:52:22,120
Speaker 1: who was Trump's buddy buddy until all of a sudden

878
00:52:22,120 --> 00:52:23,319
Speaker 1: Trump is like, you know what, I don't like this

879
00:52:23,360 --> 00:52:26,400
Speaker 1: guy anymore. And then he became the greatest anti Trumper

880
00:52:26,560 --> 00:52:30,440
Speaker 1: you could ever imagine. Right, But going after donors, this

881
00:52:30,480 --> 00:52:34,920
Speaker 1: really pulls apart this country politically, and it's scary and

882
00:52:35,000 --> 00:52:37,560
Speaker 1: it's wrong. There's a guy who's a Trump donor who

883
00:52:37,560 --> 00:52:40,320
Speaker 1: talked here about how you know he also just is

884
00:52:40,360 --> 00:52:42,840
Speaker 1: sick of what's been going on all week, which is

885
00:52:42,840 --> 00:52:45,240
Speaker 1: ever just calling everybody racist because of who they support

886
00:52:45,239 --> 00:52:50,920
Speaker 1: politically played too free country. No, shouldn't that I'm not

887
00:52:51,080 --> 00:52:54,160
Speaker 1: free to support or think to what I think is

888
00:52:55,360 --> 00:52:58,520
Speaker 1: and to be bullied with slurs of racist. I just

889
00:52:58,800 --> 00:53:01,800
Speaker 1: I think a lot of people of my generation that

890
00:53:01,960 --> 00:53:09,000
Speaker 1: support the president or tired of it. We are tired

891
00:53:09,040 --> 00:53:11,960
Speaker 1: of it. I know I'm tired of it. I hate.

892
00:53:12,000 --> 00:53:13,759
Speaker 1: I mean, I go into my mentions on Twitter, which

893
00:53:13,800 --> 00:53:15,480
Speaker 1: I try to avoid doing unless it's one of you,

894
00:53:15,560 --> 00:53:18,080
Speaker 1: and then you know, then I'll actually read it. If

895
00:53:18,120 --> 00:53:20,000
Speaker 1: I see like hashtag team buck, then I know, okay,

896
00:53:20,040 --> 00:53:21,640
Speaker 1: at least I want to read what this person saying.

897
00:53:22,200 --> 00:53:24,719
Speaker 1: But eg on your mentions and I'll be talking. It

898
00:53:24,760 --> 00:53:27,080
Speaker 1: doesn't matter what I'm talking about racist? Why just because

899
00:53:27,200 --> 00:53:31,440
Speaker 1: because I support Donald Trump? That makes me racist? How

900
00:53:31,440 --> 00:53:33,480
Speaker 1: about this? What if I supported Trump just because I

901
00:53:33,480 --> 00:53:36,960
Speaker 1: couldn't in good conscience support the Democrats because they're insane.

902
00:53:37,480 --> 00:53:40,000
Speaker 1: How about that? Maybe that's the defense against the ear

903
00:53:40,160 --> 00:53:42,680
Speaker 1: must be racist? Well, no, I just can't vote for

904
00:53:42,719 --> 00:53:46,600
Speaker 1: a party run by crazy people. How about that? Is

905
00:53:47,040 --> 00:53:49,319
Speaker 1: that an acceptable way to get around this whole racist thing.

906
00:53:49,360 --> 00:53:50,960
Speaker 1: There's nothing to do with racism, and it has to

907
00:53:51,000 --> 00:53:55,720
Speaker 1: do with I'm not voting for the socialist infanticide gender

908
00:53:55,760 --> 00:54:03,759
Speaker 1: eradication party. How about that? It is terrifying for the

909
00:54:03,800 --> 00:54:06,960
Speaker 1: families who've been torn apart, for kids who don't know

910
00:54:07,000 --> 00:54:10,400
Speaker 1: when or if they're going to see their kids their

911
00:54:10,480 --> 00:54:17,600
Speaker 1: parents again. This is part of the environment in this

912
00:54:17,640 --> 00:54:21,280
Speaker 1: country that sees immigrants as the enemy or a danger,

913
00:54:22,120 --> 00:54:24,839
Speaker 1: or something less than human to be treated in this way.

914
00:54:25,239 --> 00:54:28,680
Speaker 1: So we've got to change these practices if we're going

915
00:54:28,760 --> 00:54:31,880
Speaker 1: to be able to change the kind of violence and

916
00:54:31,880 --> 00:54:33,320
Speaker 1: the kind of hatred that we see in this country.

917
00:54:33,400 --> 00:54:39,120
Speaker 1: Right now, change it, how betto? It's the law. This

918
00:54:39,200 --> 00:54:43,040
Speaker 1: is the enforcement of existing law. If you don't like

919
00:54:43,320 --> 00:54:46,920
Speaker 1: the law, you should say we need to repeal it.

920
00:54:48,120 --> 00:54:51,960
Speaker 1: You shouldn't just operate in this make believe land of

921
00:54:51,960 --> 00:54:54,920
Speaker 1: what the law can say what it says. Because I

922
00:54:54,960 --> 00:54:58,280
Speaker 1: don't have the strength of character to advocate for its repeal.

923
00:54:59,160 --> 00:55:01,719
Speaker 1: But then I'm going to come plane and pull out

924
00:55:01,719 --> 00:55:05,160
Speaker 1: all the crocodile tears for the cameras to show how

925
00:55:05,239 --> 00:55:10,520
Speaker 1: much I care about the Latino populations troubles with illegal

926
00:55:10,560 --> 00:55:15,359
Speaker 1: immigration and the enforcement of our immigration laws. You had

927
00:55:15,360 --> 00:55:19,120
Speaker 1: six hundred and eighty Wow, CNN calls them undocumented workers

928
00:55:19,160 --> 00:55:22,920
Speaker 1: illegal aliens. CNN, the term is illegal aliens. That is

929
00:55:22,920 --> 00:55:27,800
Speaker 1: the legal term. Right. If somebody breaks into your home

930
00:55:28,040 --> 00:55:31,080
Speaker 1: and steals things, they are a burglar. They are not

931
00:55:31,640 --> 00:55:37,880
Speaker 1: an unrequested temporary visitor. Anyway, six hundred and eighty illegal

932
00:55:37,920 --> 00:55:41,120
Speaker 1: aliens were arrested in this immigration sweep. So there are

933
00:55:41,160 --> 00:55:44,160
Speaker 1: some ice raids that are happening. I will note I

934
00:55:44,200 --> 00:55:46,080
Speaker 1: was on Fox a few weeks ago and Tom Homing

935
00:55:46,160 --> 00:55:48,680
Speaker 1: came up me afterwards. Tom Holman's great and he said,

936
00:55:48,680 --> 00:55:50,640
Speaker 1: you know, you're totally right, because I'd gone on TV

937
00:55:50,719 --> 00:55:53,440
Speaker 1: and said, look, they have to actually do this. They

938
00:55:53,440 --> 00:55:55,360
Speaker 1: can't keep saying ice raids are going to happen and

939
00:55:55,400 --> 00:55:58,280
Speaker 1: then they don't happen. That that does not deter anybody.

940
00:55:58,280 --> 00:56:01,280
Speaker 1: In fact, that is the oposite of a deterrence effect.

941
00:56:02,360 --> 00:56:05,000
Speaker 1: So now that there's the beginning of some enforcement and

942
00:56:05,080 --> 00:56:08,879
Speaker 1: this was at some plants where there were undocumented undocumented

943
00:56:08,920 --> 00:56:12,279
Speaker 1: workers there. And now that this is happening, what do

944
00:56:12,360 --> 00:56:15,440
Speaker 1: you think the approach of the media is. Are they saying,

945
00:56:15,480 --> 00:56:20,160
Speaker 1: you know what, we should just never have anyone deported

946
00:56:20,200 --> 00:56:22,239
Speaker 1: from this country because there should be no such thing

947
00:56:22,280 --> 00:56:25,560
Speaker 1: as illegal status in this country anymore. No, they won't

948
00:56:25,640 --> 00:56:27,880
Speaker 1: say that, even though that's what they want. Now they

949
00:56:27,920 --> 00:56:33,000
Speaker 1: go for the heartstrings. Now they start telling stories about

950
00:56:33,120 --> 00:56:37,799
Speaker 1: how sad the kids are. Keep in mind that we

951
00:56:37,920 --> 00:56:42,160
Speaker 1: arrest people in this country for all kinds of things

952
00:56:42,200 --> 00:56:46,319
Speaker 1: that separate them from their families, and we don't hear

953
00:56:46,360 --> 00:56:49,440
Speaker 1: these we don't have these sob stories about it. Every

954
00:56:49,440 --> 00:56:53,280
Speaker 1: single person who's illegal in the country made an active decision,

955
00:56:53,440 --> 00:56:58,320
Speaker 1: made a choice to break the law. Nobody kidnaped them

956
00:56:58,360 --> 00:57:00,560
Speaker 1: and drag them across the border. None of the people

957
00:57:00,560 --> 00:57:03,239
Speaker 1: in this ice raid who were arrested were brought here

958
00:57:03,239 --> 00:57:06,680
Speaker 1: against their will. They're not dreamers. These are adults working

959
00:57:06,680 --> 00:57:11,240
Speaker 1: in this facility. They're not covered under DAKA and DAPPA

960
00:57:11,280 --> 00:57:12,600
Speaker 1: and all that stuff. Or maybe they would have been

961
00:57:12,680 --> 00:57:15,960
Speaker 1: under DAPPA. That's a whole other story. They made a

962
00:57:16,040 --> 00:57:19,680
Speaker 1: choice and they are an active violation of the law. Now,

963
00:57:19,720 --> 00:57:21,959
Speaker 1: if Democrats hate that so much, they should just say

964
00:57:22,240 --> 00:57:24,600
Speaker 1: they want to get rid of the law. But the

965
00:57:24,680 --> 00:57:28,200
Speaker 1: Washington Post, CNN and others are all about the crying children.

966
00:57:28,240 --> 00:57:31,840
Speaker 1: Here's the Washington Post today, Ice arrested hundreds of people

967
00:57:31,840 --> 00:57:37,960
Speaker 1: in raids. Now devastated, children are without their parents, Separating families,

968
00:57:39,160 --> 00:57:45,720
Speaker 1: separating families. That's the whole point here, that's the propaganda effect. Oh,

969
00:57:46,280 --> 00:57:49,000
Speaker 1: every criminal law. We separate families in this country for

970
00:57:49,480 --> 00:57:51,880
Speaker 1: drug sail and possession on a regular basis, and a

971
00:57:51,920 --> 00:57:54,800
Speaker 1: lot of people say that that shouldn't be illegal. You know,

972
00:57:54,840 --> 00:57:57,280
Speaker 1: you're just providing a service, you're selling weed on the streets.

973
00:57:57,280 --> 00:57:59,080
Speaker 1: Should you really go to prison for Well, people do.

974
00:57:59,160 --> 00:58:02,520
Speaker 1: And those families gets separated all the time in a

975
00:58:02,560 --> 00:58:05,760
Speaker 1: lot of communities where families are under tremendous pressure as

976
00:58:05,760 --> 00:58:08,040
Speaker 1: it is to say that you know that they should

977
00:58:08,080 --> 00:58:12,120
Speaker 1: be staying together and they're not. But it's all about

978
00:58:12,160 --> 00:58:15,960
Speaker 1: the sad kids, all about kids crying and how we're

979
00:58:16,320 --> 00:58:18,800
Speaker 1: look Do I feel badly for the kids, of course,

980
00:58:19,120 --> 00:58:24,320
Speaker 1: no one. No one's an unfeeling maniac here. It's it's

981
00:58:24,400 --> 00:58:26,560
Speaker 1: I feel badly for kids, But I feel badly for

982
00:58:26,600 --> 00:58:28,680
Speaker 1: kids whose parents get sent away for you know, white

983
00:58:28,680 --> 00:58:31,800
Speaker 1: collar crimes too. I feel badly when a twelve year

984
00:58:31,800 --> 00:58:33,720
Speaker 1: old finds out that you know, daddy cheated on his

985
00:58:33,760 --> 00:58:36,320
Speaker 1: taxes and he's gonna go spend a year in federal penitentiary.

986
00:58:36,800 --> 00:58:39,880
Speaker 1: These individuals are overwhelmingly the worst thing that's gonna happen

987
00:58:39,960 --> 00:58:43,280
Speaker 1: is they get sent to their home country. They could

988
00:58:43,920 --> 00:58:47,600
Speaker 1: reunite their family in their home country where they have citizenship. Folks,

989
00:58:47,600 --> 00:58:50,120
Speaker 1: that that's the possible. No one's getting ten years in

990
00:58:50,160 --> 00:58:52,600
Speaker 1: prison when they say the families are separated. No one's

991
00:58:52,640 --> 00:58:55,200
Speaker 1: getting ten years in prison because they're in the country

992
00:58:55,240 --> 00:58:57,840
Speaker 1: illegally unless they've done a lot of other really bad things.

993
00:58:58,720 --> 00:59:01,600
Speaker 1: But they may be sent home. Okay, Well, if you

994
00:59:01,600 --> 00:59:03,640
Speaker 1: don't want the family to be broken up, take your

995
00:59:03,680 --> 00:59:07,760
Speaker 1: family with you to the country of your citizenship. That

996
00:59:08,000 --> 00:59:11,800
Speaker 1: is your home under the law. That's just the way

997
00:59:11,840 --> 00:59:14,400
Speaker 1: it is. But they don't like this law, Well I

998
00:59:14,480 --> 00:59:19,560
Speaker 1: like that over at Where was this over in Denver?

999
00:59:21,000 --> 00:59:25,920
Speaker 1: And this is Denver ABC seven. There's another another side

1000
00:59:25,920 --> 00:59:27,479
Speaker 1: to this story too. If we're going to hear about

1001
00:59:27,520 --> 00:59:30,400
Speaker 1: the kids who cry because their parents get arrested in

1002
00:59:30,520 --> 00:59:34,000
Speaker 1: ice raids, and that's supposed to be the totality of

1003
00:59:34,040 --> 00:59:37,200
Speaker 1: the policy opposition to this. Well, then we should hear

1004
00:59:37,200 --> 00:59:40,560
Speaker 1: about this too, and good for these Denver reporters. This

1005
00:59:40,640 --> 00:59:44,600
Speaker 1: is by Jacqueline Allen and the ABC affiliate in Denver.

1006
00:59:45,640 --> 00:59:49,960
Speaker 1: Suspect in crash that killed father of five was facing

1007
00:59:50,000 --> 00:59:55,200
Speaker 1: deportation driving without a license. Here's the story quote. Eight

1008
00:59:55,240 --> 00:59:59,160
Speaker 1: months after he sought sanctuary from a Colorado Springs church

1009
00:59:59,200 --> 01:00:05,680
Speaker 1: to avoid portation, Miguel Ramirez Valiente stands accused of careless

1010
01:00:05,760 --> 01:00:09,800
Speaker 1: driving with a revoked license in a crash that claimed

1011
01:00:09,800 --> 01:00:13,160
Speaker 1: the life of a father of five. Now, those who

1012
01:00:13,240 --> 01:00:16,880
Speaker 1: know Ramirez Valiente say he never should have been driving.

1013
01:00:17,920 --> 01:00:20,360
Speaker 1: It took people saying you need to say something about

1014
01:00:20,360 --> 01:00:24,080
Speaker 1: this to get that family help and justice. And that's

1015
01:00:24,080 --> 01:00:27,280
Speaker 1: when we made the call, said a close acquaintance of

1016
01:00:27,360 --> 01:00:31,560
Speaker 1: Ramirez Valiente, who asked to have her identity protected for safety.

1017
01:00:32,280 --> 01:00:34,480
Speaker 1: My heart broke for this family because this could have

1018
01:00:34,560 --> 01:00:39,200
Speaker 1: been prevented. Last Friday, Sean Buchanan, a father of five,

1019
01:00:40,000 --> 01:00:43,840
Speaker 1: was riding his motorcycle on Highway eighty three when Colorado

1020
01:00:43,920 --> 01:00:47,920
Speaker 1: State Patrol trooper said another driver swerved into his lane

1021
01:00:47,920 --> 01:00:51,680
Speaker 1: and killed him. He was amazing, said his grieving wife, Cathy,

1022
01:00:52,240 --> 01:00:55,680
Speaker 1: Struggling to cope with an unimaginable loss. It's trying to

1023
01:00:55,680 --> 01:00:57,880
Speaker 1: figure out what the new normal looks like when the

1024
01:00:57,920 --> 01:01:03,640
Speaker 1: old normal was so good. The other driver, Miguel Ramirez Valiente,

1025
01:01:03,680 --> 01:01:08,880
Speaker 1: received national media attention in January while seeking sanctuary at

1026
01:01:08,880 --> 01:01:13,360
Speaker 1: a Colorado Springs church. He was pleading to avoid deportation

1027
01:01:13,440 --> 01:01:17,640
Speaker 1: to El Salvador to stay with his family. I can't

1028
01:01:17,640 --> 01:01:20,160
Speaker 1: be separated from them, he said. I've always worked hard

1029
01:01:20,200 --> 01:01:22,800
Speaker 1: to support my family. They depend on me. But those

1030
01:01:22,840 --> 01:01:26,120
Speaker 1: who know Ramirez said his arrest history tells a different story,

1031
01:01:26,400 --> 01:01:29,440
Speaker 1: and they want the Buchanan family to know it. This

1032
01:01:29,480 --> 01:01:31,640
Speaker 1: family deserves to know who they're dealing with. Set a

1033
01:01:31,680 --> 01:01:36,200
Speaker 1: close acquaintance of Valientes. He's an alcoholic and an abuser.

1034
01:01:36,960 --> 01:01:40,520
Speaker 1: His arrest record shows charges for reckless endangerment in twenty

1035
01:01:40,600 --> 01:01:44,760
Speaker 1: eleven in Douglas County and domestic violence in El Paso County.

1036
01:01:46,040 --> 01:01:49,560
Speaker 1: CBI record show both cases were dismissed by the disattorney's offices.

1037
01:01:50,360 --> 01:01:53,080
Speaker 1: In twenty eighteen. He pleaded guilty to a twenty seventeen

1038
01:01:53,160 --> 01:01:55,360
Speaker 1: charge of driving under the influence, and his license was

1039
01:01:55,400 --> 01:01:59,760
Speaker 1: revoked on August first, one day before the deadly crash.

1040
01:02:00,040 --> 01:02:03,240
Speaker 1: His probation for that dui was extended because he had

1041
01:02:03,280 --> 01:02:06,960
Speaker 1: not completed alcohol therapy. He was driving without a license

1042
01:02:06,960 --> 01:02:10,000
Speaker 1: when trooper said he overcorrected and swerved into Buchanan's laying

1043
01:02:10,000 --> 01:02:17,200
Speaker 1: on August second. Those who know ramiraz Valiente question whether

1044
01:02:17,240 --> 01:02:20,280
Speaker 1: he should have been arrested or deported long ago. He

1045
01:02:20,320 --> 01:02:22,320
Speaker 1: should have been arrested after the crash. That a woman

1046
01:02:22,320 --> 01:02:24,360
Speaker 1: who knows him, he just had a DUI and he's

1047
01:02:24,400 --> 01:02:27,040
Speaker 1: driving with no license and he killed somebody, like you

1048
01:02:27,080 --> 01:02:30,320
Speaker 1: shouldn't walk away from that. Now she's worried he will

1049
01:02:30,320 --> 01:02:33,720
Speaker 1: flee before he's brought to justice. So folks end quote there.

1050
01:02:33,760 --> 01:02:35,560
Speaker 1: I mean, this is you know, this is a father.

1051
01:02:35,800 --> 01:02:41,920
Speaker 1: There's a photo of him, father of five, two adopted

1052
01:02:41,960 --> 01:02:46,600
Speaker 1: young African American children, and then three other children. His

1053
01:02:46,720 --> 01:02:51,000
Speaker 1: father five is gone. He's separated from his family forever.

1054
01:02:52,120 --> 01:02:54,400
Speaker 1: Not just oh, I don't get to live in the

1055
01:02:54,440 --> 01:02:56,600
Speaker 1: country where I have access to a better job market

1056
01:02:56,640 --> 01:03:00,360
Speaker 1: and better welfare benefits. That's always an option for people

1057
01:03:00,400 --> 01:03:03,240
Speaker 1: who are deported. Take your family back where you are

1058
01:03:03,280 --> 01:03:07,360
Speaker 1: a citizen. Instead of enforcing your own view of immigration

1059
01:03:07,440 --> 01:03:10,600
Speaker 1: law by just staying here. But we're gonna talk about

1060
01:03:10,640 --> 01:03:14,440
Speaker 1: separated families and crying children. This illegal who should have

1061
01:03:14,440 --> 01:03:18,479
Speaker 1: been deported right away, stuck around, got chance after chance

1062
01:03:18,520 --> 01:03:21,880
Speaker 1: in the system, was an alcoholic and an abuser allegedly,

1063
01:03:23,200 --> 01:03:26,120
Speaker 1: and then he killed a guy who had five kids.

1064
01:03:27,400 --> 01:03:29,440
Speaker 1: They're never going to see their dad again. Do we

1065
01:03:29,480 --> 01:03:31,960
Speaker 1: hear that story from the media, Well, you'll hear it here.

1066
01:03:32,000 --> 01:03:42,080
Speaker 1: I guarantee you won't see it on CNN. Hey there, Dolpia,

1067
01:03:42,560 --> 01:03:47,600
Speaker 1: what state is this? Sorry you don't understand the question?

1068
01:03:48,720 --> 01:03:51,840
Speaker 1: Oh no, I didn't. Most people know where they are,

1069
01:03:53,080 --> 01:03:55,800
Speaker 1: all right, most people. You're in the glorious state art.

1070
01:03:55,840 --> 01:04:01,480
Speaker 1: It's all sweetheart. Your idea is incredible and can argue

1071
01:04:01,480 --> 01:04:05,160
Speaker 1: with that. We pay through everything, so this country belongs

1072
01:04:05,200 --> 01:04:09,720
Speaker 1: to us. It's just business hunting human beings for sports.

1073
01:04:11,520 --> 01:04:19,080
Speaker 1: They're not human beings. So that's the trailer for this

1074
01:04:19,200 --> 01:04:21,960
Speaker 1: movie that's now getting all kinds of attention. I'm starting

1075
01:04:22,000 --> 01:04:24,200
Speaker 1: to think that this was all the plan, my friends,

1076
01:04:24,680 --> 01:04:29,000
Speaker 1: because it's so egregious and so over the top that

1077
01:04:29,080 --> 01:04:32,440
Speaker 1: they had They had to know that this was going

1078
01:04:32,520 --> 01:04:35,040
Speaker 1: to turn into a big, a big issue for them. Right,

1079
01:04:35,080 --> 01:04:39,120
Speaker 1: So this is the movie The Hunt, and they're they're

1080
01:04:39,120 --> 01:04:44,640
Speaker 1: now saying that it's a satire and it's where thrill

1081
01:04:44,760 --> 01:04:50,240
Speaker 1: seekers fly down to a five star resort and then

1082
01:04:50,320 --> 01:04:55,120
Speaker 1: they go and hunt down humans and it's super liberal,

1083
01:04:56,640 --> 01:05:01,240
Speaker 1: you know, elitists who are hunting down essentially maga people,

1084
01:05:01,360 --> 01:05:03,680
Speaker 1: people from Red States who are kind of more just

1085
01:05:03,760 --> 01:05:07,520
Speaker 1: American and and all that stuff. So you know, you

1086
01:05:07,920 --> 01:05:10,400
Speaker 1: can kind of figure out how this whole thing goes.

1087
01:05:10,440 --> 01:05:14,240
Speaker 1: I mean, if you there's more video out there where

1088
01:05:14,240 --> 01:05:17,320
Speaker 1: they release some weapons and them so they can fight

1089
01:05:17,400 --> 01:05:19,440
Speaker 1: back a little bit. But obviously they're supposed to be

1090
01:05:19,520 --> 01:05:23,960
Speaker 1: hunted down and killed. And this is by Blumhouse Pictures,

1091
01:05:24,000 --> 01:05:26,960
Speaker 1: I think, which is the same the same company that

1092
01:05:27,080 --> 01:05:28,840
Speaker 1: did I believe, the same people behind this, the ones

1093
01:05:28,840 --> 01:05:31,040
Speaker 1: that did Get Out, which I think is one of

1094
01:05:31,040 --> 01:05:34,520
Speaker 1: the worst movies. I think they're also behind get Out.

1095
01:05:34,840 --> 01:05:36,800
Speaker 1: John John am I right. We got producer John by

1096
01:05:36,840 --> 01:05:40,200
Speaker 1: the way in for producer Mark today. Yeah, let me

1097
01:05:40,240 --> 01:05:41,480
Speaker 1: take a look at that. Let me I think it's

1098
01:05:41,520 --> 01:05:44,120
Speaker 1: the same one. I know it's Blumhouse. Hilary Swank is

1099
01:05:44,120 --> 01:05:47,040
Speaker 1: in it. She's been kind, she's been kind of m

1100
01:05:47,080 --> 01:05:49,120
Speaker 1: Ia for a while, so I don't know what she's

1101
01:05:49,120 --> 01:05:52,360
Speaker 1: been up to um, but it's yeah. So it's a

1102
01:05:52,360 --> 01:05:55,080
Speaker 1: movie that everyone's getting all all upset, well, particularly because

1103
01:05:55,120 --> 01:05:59,680
Speaker 1: this week there's a there's a sense that we're always

1104
01:05:59,720 --> 01:06:03,000
Speaker 1: being told that, oh there's you know, we need to

1105
01:06:03,040 --> 01:06:09,840
Speaker 1: have more friendly rhetoric and exchange with each other. And

1106
01:06:10,040 --> 01:06:13,440
Speaker 1: people are very upset about this because it shows essentially

1107
01:06:13,520 --> 01:06:18,760
Speaker 1: liberal elites hunting red state. I don't know what Trump supporters.

1108
01:06:18,760 --> 01:06:20,960
Speaker 1: I don't think it gets that explicit about Trump support

1109
01:06:21,040 --> 01:06:25,920
Speaker 1: per se, but it's definitely implied here. Universal Studios or

1110
01:06:26,000 --> 01:06:29,920
Speaker 1: Universal Pictures rather has temporarily pulled some of the trailers

1111
01:06:29,960 --> 01:06:32,960
Speaker 1: for this movie, and let me just make sure I've

1112
01:06:33,000 --> 01:06:35,280
Speaker 1: got all the right details here. Yeah, we've got Hilary

1113
01:06:35,360 --> 01:06:40,440
Speaker 1: Swank and people are obviously sensitive about it because what's

1114
01:06:40,440 --> 01:06:44,400
Speaker 1: happened this week, But we got yeah. Jason Blum is

1115
01:06:44,400 --> 01:06:49,760
Speaker 1: producing this alongside Damon Lindeloff, and it's coming out in September.

1116
01:06:50,520 --> 01:06:52,360
Speaker 1: I just think it's Look, it's gonna be a crap movie.

1117
01:06:52,360 --> 01:06:54,240
Speaker 1: First of all, it's not even a particularly original it's

1118
01:06:54,240 --> 01:06:57,480
Speaker 1: not really an original idea. In fact, some of you

1119
01:06:57,600 --> 01:07:04,120
Speaker 1: the true action movie devotees in the audience. As soon

1120
01:07:04,160 --> 01:07:06,040
Speaker 1: as I told you the concept for this movie, you

1121
01:07:06,040 --> 01:07:09,000
Speaker 1: should have thought to yourself, Oh so now they're ripping

1122
01:07:09,000 --> 01:07:12,200
Speaker 1: off Van Dam movies. Because there was a Van Dam

1123
01:07:12,320 --> 01:07:14,200
Speaker 1: movie that I have seen more times than I care

1124
01:07:14,240 --> 01:07:18,560
Speaker 1: to admit, called Hard Target, where he is in New

1125
01:07:18,680 --> 01:07:22,720
Speaker 1: Orleans and he's being hunted down. And Van Dam plays

1126
01:07:22,720 --> 01:07:26,880
Speaker 1: this guy who is Cajun and yes, has a mullet,

1127
01:07:27,840 --> 01:07:30,800
Speaker 1: and he has great lines like your name is Chance,

1128
01:07:31,200 --> 01:07:34,320
Speaker 1: and he's like, yeah, my mama took one, just like

1129
01:07:34,320 --> 01:07:37,080
Speaker 1: that in his little Vandam his little Belgian French accent,

1130
01:07:37,240 --> 01:07:41,200
Speaker 1: my memo took one. But yeah, Van Dam is in

1131
01:07:41,240 --> 01:07:44,480
Speaker 1: the movie and it's they take people who are in

1132
01:07:44,480 --> 01:07:46,800
Speaker 1: that case, it's I mean, they take people who are

1133
01:07:46,920 --> 01:07:50,520
Speaker 1: essentially homeless and alcoholics, and then they offer them money

1134
01:07:50,520 --> 01:07:52,240
Speaker 1: and they actually just hunt them down. It's a really

1135
01:07:52,320 --> 01:07:55,000
Speaker 1: messed up premise, but that movie was already And of

1136
01:07:55,080 --> 01:07:57,920
Speaker 1: course Vandem tons the tables on the bad guys and

1137
01:07:58,040 --> 01:08:01,040
Speaker 1: does a lot of fly kick, a lot of tip

1138
01:08:01,120 --> 01:08:03,840
Speaker 1: tap kick where he does the leg that is extended

1139
01:08:03,880 --> 01:08:07,120
Speaker 1: but kick kick, you know, like a ballet dancer, because

1140
01:08:07,280 --> 01:08:09,560
Speaker 1: Vedam actually did some ballet too. Folks, by the way,

1141
01:08:09,880 --> 01:08:12,080
Speaker 1: makes you very strong true story, not that I've ever

1142
01:08:12,120 --> 01:08:14,160
Speaker 1: tried it. Now some of you are thinking about Buck

1143
01:08:14,200 --> 01:08:16,400
Speaker 1: doing ballet, and that's an image you're never going to

1144
01:08:16,479 --> 01:08:18,400
Speaker 1: be able to get out of your minds. But yeah,

1145
01:08:18,479 --> 01:08:23,000
Speaker 1: vandam hard target this movie, The Hunt. It's great publicity

1146
01:08:23,040 --> 01:08:25,240
Speaker 1: for them, even though they're having to pull publicity right

1147
01:08:25,280 --> 01:08:28,440
Speaker 1: now because the whole country is talking about it. Uh,

1148
01:08:28,479 --> 01:08:30,439
Speaker 1: you know, is it? Do? I do I think that

1149
01:08:30,479 --> 01:08:32,840
Speaker 1: this is going to change anything? Or you know, how

1150
01:08:32,880 --> 01:08:36,519
Speaker 1: how upset should we really be? Um? Look, you know

1151
01:08:36,560 --> 01:08:39,360
Speaker 1: there's there's very there's all kinds of very offensive movies

1152
01:08:39,880 --> 01:08:45,559
Speaker 1: that are made. There's a pretty clear tendency in pop

1153
01:08:45,640 --> 01:08:49,720
Speaker 1: culture right now to always go right wing on I mean,

1154
01:08:49,840 --> 01:08:52,680
Speaker 1: go against the right, I should say, always pick on

1155
01:08:52,720 --> 01:08:55,479
Speaker 1: the right wing, and this is this is gonna be

1156
01:08:55,479 --> 01:08:57,720
Speaker 1: no different from that. But I do not think I'll

1157
01:08:57,800 --> 01:09:00,240
Speaker 1: end up seeing this movie. It's They also made The Purge,

1158
01:09:01,320 --> 01:09:04,640
Speaker 1: which is overrated. I mean, it was an interesting concept,

1159
01:09:05,160 --> 01:09:07,600
Speaker 1: but it's really not that. The Purge movie, when I

1160
01:09:07,600 --> 01:09:10,639
Speaker 1: saw it, really was not that well executed. I thought

1161
01:09:10,640 --> 01:09:12,960
Speaker 1: it was. There's a lot of hype around it, and

1162
01:09:13,000 --> 01:09:15,920
Speaker 1: then there's the more recent purge movie that came out.

1163
01:09:17,200 --> 01:09:19,720
Speaker 1: I can't even remember what it was, but that one

1164
01:09:19,760 --> 01:09:23,280
Speaker 1: just goes way, way off the rails. So yeah, this

1165
01:09:23,400 --> 01:09:27,160
Speaker 1: is when Emmon's talking about today, a movie hunting deplorables. Look,

1166
01:09:27,200 --> 01:09:29,519
Speaker 1: we know there's a double standard, folks. The double standard

1167
01:09:29,600 --> 01:09:32,640
Speaker 1: is that anything that is associated with conservatism will be

1168
01:09:32,720 --> 01:09:34,960
Speaker 1: bashed if it has any violence in it or any

1169
01:09:35,439 --> 01:09:40,880
Speaker 1: and liberals can actually make movies call it a farce,

1170
01:09:41,680 --> 01:09:44,920
Speaker 1: or they can actually make movies that have them hunting

1171
01:09:45,400 --> 01:09:47,800
Speaker 1: people who live in Red states, and we're supposed to

1172
01:09:47,840 --> 01:09:50,479
Speaker 1: think that, oh this is not Look it's silly. I mean,

1173
01:09:50,520 --> 01:09:52,280
Speaker 1: I haven't seen the movie, so I can't critique it

1174
01:09:52,360 --> 01:09:55,320
Speaker 1: all that much, but just wanted to note this is

1175
01:09:55,360 --> 01:09:58,519
Speaker 1: getting at getting a lot of attention. I did watch

1176
01:09:58,560 --> 01:10:00,960
Speaker 1: some of season two of Add Blood. By the way,

1177
01:10:01,000 --> 01:10:03,759
Speaker 1: I'm gonna give you a little favor to my listeners.

1178
01:10:04,280 --> 01:10:06,679
Speaker 1: Season one of Bad Blood on Netflix pretty good. Season

1179
01:10:06,720 --> 01:10:12,559
Speaker 1: two garbage just completely collapses into nonsense. It no longer

1180
01:10:12,720 --> 01:10:15,479
Speaker 1: is based on a true story, and you can just

1181
01:10:15,520 --> 01:10:18,200
Speaker 1: tell that they lose their best actors except for the

1182
01:10:18,240 --> 01:10:21,040
Speaker 1: lead guy. The storyline all of a sudden doesn't make

1183
01:10:21,040 --> 01:10:23,280
Speaker 1: any sense. They got all these mafia bosses who are

1184
01:10:23,800 --> 01:10:27,080
Speaker 1: getting into one on one gun battles with pistols themselves.

1185
01:10:27,120 --> 01:10:30,360
Speaker 1: It's just it's not good. It's not good, So I

1186
01:10:30,360 --> 01:10:31,680
Speaker 1: gotta tell you to be I don't want you to

1187
01:10:31,680 --> 01:10:34,240
Speaker 1: watch season two and then blame me for that one.

1188
01:10:34,280 --> 01:10:37,080
Speaker 1: So bail on Bad Blood season two on Netflix, and

1189
01:10:37,200 --> 01:10:39,000
Speaker 1: bail on the Hunt. I don't think it's gonna be

1190
01:10:39,000 --> 01:10:40,840
Speaker 1: a good movie. It's not worth anyone's time. But I

1191
01:10:40,840 --> 01:10:42,679
Speaker 1: also don't want to get too upset about it, because

1192
01:10:42,680 --> 01:10:48,280
Speaker 1: that just gives them free press. In the President's statement

1193
01:10:48,320 --> 01:10:50,799
Speaker 1: on Air Force One, he said, quote, I'm very strongly

1194
01:10:50,840 --> 01:10:54,200
Speaker 1: considering that I think he was treated unbelievably unfairly. And

1195
01:10:54,280 --> 01:10:57,240
Speaker 1: he's a Democrat, he's not a Republican. And we're thinking

1196
01:10:57,280 --> 01:10:59,479
Speaker 1: about commuting his sentence so we can go back home

1197
01:10:59,479 --> 01:11:02,000
Speaker 1: to his wife than children. And I'm very impressed with

1198
01:11:02,000 --> 01:11:04,360
Speaker 1: his family. I'm very impressed with his wife. I mean,

1199
01:11:04,400 --> 01:11:06,880
Speaker 1: she has lived for this. She's one hell of a woman.

1200
01:11:07,080 --> 01:11:09,519
Speaker 1: She has lived. She goes on and makes her case,

1201
01:11:09,920 --> 01:11:15,240
Speaker 1: and it's really very sad. Is President Trump going to

1202
01:11:15,880 --> 01:11:21,120
Speaker 1: possibly pardon Bligoyevich. It's got a lot of attention today folks.

1203
01:11:21,160 --> 01:11:23,240
Speaker 1: People are reporting on it across the country. I want

1204
01:11:23,280 --> 01:11:25,280
Speaker 1: to bring somebody on who could discuss this is all

1205
01:11:25,479 --> 01:11:29,000
Speaker 1: as well as some issues of policing and gun control.

1206
01:11:29,040 --> 01:11:32,799
Speaker 1: We're joined now by Bernard Carrick. He is the fortieth

1207
01:11:32,800 --> 01:11:35,720
Speaker 1: Police Commissioner of the NYPD in the City of New York.

1208
01:11:35,760 --> 01:11:39,120
Speaker 1: Also New York Times best selling author Bernie Great to

1209
01:11:39,160 --> 01:11:42,800
Speaker 1: have you on, thanks book. All right, First off, Bilgoevich,

1210
01:11:42,880 --> 01:11:45,720
Speaker 1: A lot of people hear this, and I even know conservatives,

1211
01:11:45,720 --> 01:11:48,160
Speaker 1: and they immediately roll their eyes and they go, oh,

1212
01:11:48,240 --> 01:11:50,400
Speaker 1: you mean the guy who said a Senate see, it's

1213
01:11:50,400 --> 01:11:52,679
Speaker 1: a blanking valuable thing. You don't just give it away.

1214
01:11:52,680 --> 01:11:55,000
Speaker 1: I mean, that's the quote that everybody thinks of. I've

1215
01:11:55,040 --> 01:11:58,920
Speaker 1: seen you take a more lenient and or perhaps more

1216
01:11:58,960 --> 01:12:02,400
Speaker 1: open minded a pro It's the possibility of a commutation

1217
01:12:02,560 --> 01:12:06,719
Speaker 1: or a pardon for Bagloyevic. Why is that? Here's why.

1218
01:12:07,920 --> 01:12:12,400
Speaker 1: Give me one member of Congress, one politician that works

1219
01:12:12,439 --> 01:12:16,320
Speaker 1: in Washington, DC that makes a decision and it's not

1220
01:12:16,479 --> 01:12:23,080
Speaker 1: based on some political gain or political ramification that would

1221
01:12:23,120 --> 01:12:26,639
Speaker 1: benefit them. Give me one. You can't. You can't give

1222
01:12:26,680 --> 01:12:32,160
Speaker 1: me one because nobody in Washington, DC does anything political

1223
01:12:32,640 --> 01:12:35,640
Speaker 1: without looking at how it's going to impact them to

1224
01:12:35,800 --> 01:12:39,599
Speaker 1: the positive. That's exactly what this guy was doing. He

1225
01:12:39,720 --> 01:12:43,479
Speaker 1: talked about politics on the phone. And more importantly, there

1226
01:12:43,560 --> 01:12:46,880
Speaker 1: was no personal gain. There was no financial gain, there

1227
01:12:46,960 --> 01:12:51,240
Speaker 1: was no political gain. Basically, he went to prison for

1228
01:12:51,439 --> 01:12:57,559
Speaker 1: eighteen years for politicking. And think of it this way, Buck,

1229
01:12:57,840 --> 01:13:00,880
Speaker 1: This is I think of this in a in a

1230
01:13:01,040 --> 01:13:07,559
Speaker 1: much more dramatic way. There's a convicted terrorist that was

1231
01:13:07,600 --> 01:13:12,400
Speaker 1: convicted in the same courthouse, I think, by the same judge,

1232
01:13:12,400 --> 01:13:18,040
Speaker 1: in the same courtroom, convicted of planning a mass shooting

1233
01:13:18,040 --> 01:13:21,800
Speaker 1: attack on American citizens. He was sent to prison for

1234
01:13:21,840 --> 01:13:26,560
Speaker 1: eight years. Why do you think they went after Blogoyevitch

1235
01:13:26,680 --> 01:13:29,519
Speaker 1: so hard? I mean getting over a decade for what

1236
01:13:29,560 --> 01:13:31,640
Speaker 1: he did. I mean, who was really the victim of

1237
01:13:31,640 --> 01:13:37,400
Speaker 1: Blugoyevich's crimes? There was none, There was no victim of

1238
01:13:37,600 --> 01:13:40,679
Speaker 1: his crime. And like I said, there was no gain

1239
01:13:40,920 --> 01:13:47,160
Speaker 1: personally for him, professionally, financially, politically, there was no gain.

1240
01:13:47,920 --> 01:13:52,160
Speaker 1: All he did was talking about politics. So here's here's

1241
01:13:52,200 --> 01:13:56,599
Speaker 1: the reality in today's world. And nobody knows this better

1242
01:13:56,640 --> 01:14:00,960
Speaker 1: than the President of the United States. We are living

1243
01:14:01,120 --> 01:14:05,479
Speaker 1: in a society today where selective and political prosecutions are

1244
01:14:05,520 --> 01:14:09,559
Speaker 1: pretty much the norm. A lot of this started with

1245
01:14:09,720 --> 01:14:13,160
Speaker 1: Rod Bologoyevitch, A lot of this started ten years ago.

1246
01:14:14,040 --> 01:14:17,160
Speaker 1: The reality is Rod Blagoyevitch was the target of a

1247
01:14:17,200 --> 01:14:21,760
Speaker 1: selective and political prosecution and they wanted to make an

1248
01:14:21,760 --> 01:14:25,120
Speaker 1: example out of him, and in doing so, he was

1249
01:14:25,200 --> 01:14:29,559
Speaker 1: sentenced to eighteen years for talking about something that never happened,

1250
01:14:29,960 --> 01:14:34,000
Speaker 1: talking about something that he gained nothing from. And it's bizarre.

1251
01:14:34,160 --> 01:14:38,559
Speaker 1: It's completely bizarre when you think of the constitution, when

1252
01:14:38,600 --> 01:14:46,000
Speaker 1: you think of the punishment fit the crime. This is insanity.

1253
01:14:46,800 --> 01:14:50,280
Speaker 1: This is complete insanity. He could have been given probation,

1254
01:14:50,760 --> 01:14:52,679
Speaker 1: he could have been given a year and a day.

1255
01:14:53,600 --> 01:14:56,200
Speaker 1: He could have been back with his family, paying taxes,

1256
01:14:56,320 --> 01:14:59,400
Speaker 1: taking care of his family. His daughters have gone out

1257
01:14:59,640 --> 01:15:04,120
Speaker 1: gone without his father for over seven years now. It's

1258
01:15:04,160 --> 01:15:07,519
Speaker 1: costing us thirty to forty thousand dollars a year to

1259
01:15:07,640 --> 01:15:10,000
Speaker 1: take care of a guy that we could have really

1260
01:15:10,080 --> 01:15:13,280
Speaker 1: reaped with rewards from in a number of different ways

1261
01:15:13,640 --> 01:15:17,799
Speaker 1: had we given him, you know, community service. And Bertie

1262
01:15:17,760 --> 01:15:21,599
Speaker 1: did this something. This obviously hits home for you because

1263
01:15:21,600 --> 01:15:25,280
Speaker 1: you're somebody who in your own life and dealt with

1264
01:15:25,960 --> 01:15:28,519
Speaker 1: what I would say, just from my perspective, was certainly

1265
01:15:28,560 --> 01:15:32,240
Speaker 1: an over zealous prosecution. Can you just tell the folks

1266
01:15:32,240 --> 01:15:34,960
Speaker 1: that are listening, you know what what you what? They

1267
01:15:35,000 --> 01:15:36,599
Speaker 1: came in. I mean, I remember that the judge gave

1268
01:15:36,640 --> 01:15:38,680
Speaker 1: you more than even the prosecutor wanted, right, I mean,

1269
01:15:38,920 --> 01:15:42,960
Speaker 1: you had a particularly egregious case of over zealous I

1270
01:15:43,120 --> 01:15:47,400
Speaker 1: had a you know, I listened to short, short summit,

1271
01:15:47,479 --> 01:15:50,439
Speaker 1: if you will. I was nominated from the Director of

1272
01:15:50,520 --> 01:15:53,080
Speaker 1: the Secretary of Homeland Security in two thousand and four.

1273
01:15:53,880 --> 01:15:56,519
Speaker 1: I accepted the nomination. I had to drop out and

1274
01:15:56,600 --> 01:16:00,639
Speaker 1: withdraw my name from consideration because I hired a nanny,

1275
01:16:00,720 --> 01:16:03,400
Speaker 1: a domestic servant for my kids, and I paid that

1276
01:16:03,520 --> 01:16:06,600
Speaker 1: nanny cash over a two year period, which in today's

1277
01:16:06,640 --> 01:16:10,519
Speaker 1: world is completely bizarre to me, since every Democrat in

1278
01:16:10,560 --> 01:16:14,120
Speaker 1: the country is trying to let every illegal into this country.

1279
01:16:14,360 --> 01:16:18,360
Speaker 1: And you know, I basically was sent to prison for

1280
01:16:18,400 --> 01:16:23,360
Speaker 1: four years for hiring a nanny, not paying payroll tax

1281
01:16:23,439 --> 01:16:28,960
Speaker 1: on the nanny. Some apartment renovations. Mine was a political prosecution.

1282
01:16:29,000 --> 01:16:33,560
Speaker 1: It was a selected prosecution. The probation department, the prosecutors,

1283
01:16:33,640 --> 01:16:37,360
Speaker 1: my attorneys all agreed that I would be I would

1284
01:16:37,439 --> 01:16:40,479
Speaker 1: plead guilty and serve twenty seven to thirty three months.

1285
01:16:41,000 --> 01:16:44,960
Speaker 1: Yet my judge, who was as political as they get,

1286
01:16:45,439 --> 01:16:51,040
Speaker 1: a big, huge Democratic supporter, friends with Hillary and everybody else,

1287
01:16:51,960 --> 01:16:54,320
Speaker 1: he gave me forty eight months. So I went to

1288
01:16:54,360 --> 01:16:57,760
Speaker 1: prison for three years in eleven days. I ran the

1289
01:16:57,840 --> 01:17:01,080
Speaker 1: largest jail system in this country, on the largest police

1290
01:17:01,080 --> 01:17:04,600
Speaker 1: department in this country. And I've been inside this system.

1291
01:17:04,760 --> 01:17:08,799
Speaker 1: Nobody knows better than I do how flawed and failed

1292
01:17:08,920 --> 01:17:12,240
Speaker 1: our criminal justice system is. But I gotta be honest, buck,

1293
01:17:12,960 --> 01:17:16,000
Speaker 1: Nobody's ever seen it like they've seen it now in

1294
01:17:16,040 --> 01:17:19,640
Speaker 1: this Russian you know, witch hunt or a hoax or

1295
01:17:19,680 --> 01:17:22,280
Speaker 1: whatever you want to call it against the president and

1296
01:17:22,600 --> 01:17:25,559
Speaker 1: what's going on in Washington. What happened to me and

1297
01:17:25,640 --> 01:17:28,720
Speaker 1: Blugovitch is only a tip of the iceberg. So you

1298
01:17:28,840 --> 01:17:32,200
Speaker 1: are you are in favor then of at least a commutation,

1299
01:17:32,240 --> 01:17:34,920
Speaker 1: if not a pardon for Rob Lgoievitch's fair. He should

1300
01:17:34,960 --> 01:17:37,679
Speaker 1: I think he should have been commuted to six years ago.

1301
01:17:38,320 --> 01:17:40,120
Speaker 1: You know, if the president wants to pardon him, so

1302
01:17:40,280 --> 01:17:44,080
Speaker 1: be it. I think he's done enough time. I think

1303
01:17:44,439 --> 01:17:47,080
Speaker 1: you can benefit from his release in a number of

1304
01:17:47,120 --> 01:17:50,519
Speaker 1: different ways. And I think he has to get back

1305
01:17:50,520 --> 01:17:53,639
Speaker 1: to his family. So I'm all, I'm one thousand percent

1306
01:17:54,120 --> 01:17:58,000
Speaker 1: in support of the president community. And since when you

1307
01:17:58,040 --> 01:18:00,280
Speaker 1: were going through that process, Bernie, I've never had answer

1308
01:18:00,280 --> 01:18:03,200
Speaker 1: really ask you about this, But was there anybody who

1309
01:18:03,200 --> 01:18:05,439
Speaker 1: would look you in the eyes and say, yeah, this

1310
01:18:05,520 --> 01:18:07,759
Speaker 1: seems fair what you're getting, You're getting what you deserve.

1311
01:18:07,880 --> 01:18:09,799
Speaker 1: Or does everyone just look at you in this process

1312
01:18:09,840 --> 01:18:13,120
Speaker 1: when there is a politicized prosecution and say, well, you know,

1313
01:18:13,200 --> 01:18:17,760
Speaker 1: this is just kind of happening. Sorry. You know what, Buck,

1314
01:18:17,840 --> 01:18:20,120
Speaker 1: that's a really good question, because the people in the

1315
01:18:20,160 --> 01:18:23,680
Speaker 1: political world, they'll look at you and say, I get it,

1316
01:18:23,880 --> 01:18:28,639
Speaker 1: I understand it. This is the life, you know, this

1317
01:18:28,720 --> 01:18:30,880
Speaker 1: is the price you pay for the life you choose.

1318
01:18:31,880 --> 01:18:34,559
Speaker 1: And that's a hell of a thing to say, especially

1319
01:18:34,560 --> 01:18:37,880
Speaker 1: to a public servant. You know, I just spent I

1320
01:18:38,000 --> 01:18:41,760
Speaker 1: just spent eight weeks out in San Diego. I put

1321
01:18:41,800 --> 01:18:44,800
Speaker 1: together the legal team for Chief Eddie Gallagher, the US

1322
01:18:44,920 --> 01:18:48,920
Speaker 1: Navy seal who was recently acquitted of war crimes. We

1323
01:18:48,960 --> 01:18:53,960
Speaker 1: went through the same thing. An overzealous prosecutor, Prosecutors that

1324
01:18:54,080 --> 01:18:57,599
Speaker 1: lie to a judge, prosecutors that spied on the defense team,

1325
01:18:58,240 --> 01:19:00,720
Speaker 1: prosecutors that never should have brought a case in the

1326
01:19:00,760 --> 01:19:04,679
Speaker 1: first place. And this is something that continues to happen.

1327
01:19:05,280 --> 01:19:08,800
Speaker 1: And I have to tell you people that in the

1328
01:19:08,800 --> 01:19:12,240
Speaker 1: political world, they seem they get it, they understand that

1329
01:19:12,439 --> 01:19:16,559
Speaker 1: they know it. The problem I have is every member

1330
01:19:16,600 --> 01:19:19,519
Speaker 1: of Congress knows how it works and knows what happens,

1331
01:19:19,800 --> 01:19:22,240
Speaker 1: yet they don't do anything to fix it. That's what

1332
01:19:22,320 --> 01:19:25,639
Speaker 1: bothers me the most. And they also listen. What they

1333
01:19:25,720 --> 01:19:32,400
Speaker 1: do is they weaponize, they weaponize our criminal justice system

1334
01:19:32,479 --> 01:19:35,240
Speaker 1: for their own political gain. And that's what we've seen

1335
01:19:35,280 --> 01:19:38,200
Speaker 1: against the President. I've done an experiment before, Bernie, We're

1336
01:19:38,200 --> 01:19:39,760
Speaker 1: just off the top of my head on radio. I've

1337
01:19:39,840 --> 01:19:43,240
Speaker 1: rattled off all of the high profile and in many

1338
01:19:43,280 --> 01:19:48,600
Speaker 1: cases national level and nationally recognizable Republican politicians who have

1339
01:19:48,720 --> 01:19:52,320
Speaker 1: been the subjects of what is effectively a precursor to

1340
01:19:52,360 --> 01:19:54,920
Speaker 1: the Trump witch hunt. Right. But you look at Rick

1341
01:19:54,960 --> 01:19:57,880
Speaker 1: Perry going after him for the exercise of his office

1342
01:19:57,960 --> 01:20:00,720
Speaker 1: as a governor, trying to get a drunk attorney general

1343
01:20:00,760 --> 01:20:04,080
Speaker 1: who was called drunk driving out of office. They went after,

1344
01:20:04,280 --> 01:20:08,280
Speaker 1: I mean zealously, went after Chris Christie on Bridgegate. They

1345
01:20:08,280 --> 01:20:11,559
Speaker 1: went after Scott Walker in Wisconsin for nothing trying to

1346
01:20:11,600 --> 01:20:15,640
Speaker 1: get him on collusion with outside groups with his campaign.

1347
01:20:16,080 --> 01:20:19,439
Speaker 1: They went after McDonell and his wife in Virginia after

1348
01:20:19,479 --> 01:20:22,360
Speaker 1: the Feds initially or rather after the State of Virginia

1349
01:20:22,400 --> 01:20:24,840
Speaker 1: initially passed on any charges, they were going to send

1350
01:20:24,880 --> 01:20:28,760
Speaker 1: him away for eleven years. I do sense a pattern, Bernie. Yeah,

1351
01:20:28,800 --> 01:20:32,960
Speaker 1: you know what, Buck, There's nothing more dangerous in a

1352
01:20:33,040 --> 01:20:36,479
Speaker 1: society like ours, in a democratic society, than a government

1353
01:20:36,840 --> 01:20:40,960
Speaker 1: that weaponizes this criminal justice system against its own citizens.

1354
01:20:41,560 --> 01:20:46,120
Speaker 1: And that's what we're doing. And there's nobody more guilty

1355
01:20:46,160 --> 01:20:50,000
Speaker 1: of this than members of Congress. And it's not it's

1356
01:20:50,040 --> 01:20:53,040
Speaker 1: not only Democrats that do it to Republicans. Republicans have

1357
01:20:53,120 --> 01:20:56,920
Speaker 1: done it to Democrats. Bottom line is it shouldn't be done.

1358
01:20:57,320 --> 01:21:01,560
Speaker 1: Selective and political prosecutions are wrong, but they happen constantly,

1359
01:21:02,080 --> 01:21:05,600
Speaker 1: and I don't think anybody's are realized that until we

1360
01:21:05,720 --> 01:21:08,640
Speaker 1: got to see it firsthand, close up and personal with

1361
01:21:08,760 --> 01:21:10,880
Speaker 1: the president. All right, Bernie, I want to keep you

1362
01:21:10,880 --> 01:21:13,400
Speaker 1: because I want to ask you some law enforcement specific questions.

1363
01:21:13,400 --> 01:21:15,120
Speaker 1: The other side of the break, everybody stayed with us.

1364
01:21:15,160 --> 01:21:17,080
Speaker 1: We'll be back with Bernard Kerrick in just a moment.

1365
01:21:20,120 --> 01:21:23,320
Speaker 1: All right, Team we're back with Bernard Kerrick. He was

1366
01:21:23,400 --> 01:21:26,920
Speaker 1: the police commissioner of the NYPD, where I firmly formerly

1367
01:21:26,920 --> 01:21:29,040
Speaker 1: worked for the Intel Division for a little while. You

1368
01:21:29,040 --> 01:21:31,679
Speaker 1: guys know him. He's also a New York Times bestselling author.

1369
01:21:32,040 --> 01:21:35,000
Speaker 1: All right, Bernie, I want to ask about this a lot.

1370
01:21:35,120 --> 01:21:36,680
Speaker 1: We could talk police suff all day, but you know,

1371
01:21:36,680 --> 01:21:37,760
Speaker 1: I know you've got a life, so we'll have to

1372
01:21:37,840 --> 01:21:40,880
Speaker 1: have you back another time. But the throwing of water

1373
01:21:40,920 --> 01:21:43,760
Speaker 1: in the videos that's been happening happened in New York.

1374
01:21:43,840 --> 01:21:46,840
Speaker 1: These police officers, uniformed officers, had water thrown at them,

1375
01:21:47,160 --> 01:21:49,640
Speaker 1: people laughing and everything else. What do you make I mean,

1376
01:21:49,680 --> 01:21:52,240
Speaker 1: you're somebody who held I believe, like every job all

1377
01:21:52,280 --> 01:21:55,760
Speaker 1: the way up to commissioner. What do you make of this? Well, listen,

1378
01:21:55,800 --> 01:21:58,960
Speaker 1: what I make of it? You know, is a disrespect

1379
01:21:59,120 --> 01:22:03,080
Speaker 1: towards toward the law enforcement community which has been going

1380
01:22:03,120 --> 01:22:06,720
Speaker 1: on since Ferguson Um, you know, and it seems to

1381
01:22:06,760 --> 01:22:12,120
Speaker 1: grow in democratic cities where you have mayors and governors

1382
01:22:12,240 --> 01:22:16,760
Speaker 1: and state representatives that you know, they constantly promote this

1383
01:22:16,920 --> 01:22:23,519
Speaker 1: anti police rhetoric. And it also it's also pretty heavy

1384
01:22:23,560 --> 01:22:26,840
Speaker 1: handed in areas where you have mayors that's not going

1385
01:22:26,880 --> 01:22:29,800
Speaker 1: to support their cops because the cops are afraid to

1386
01:22:29,880 --> 01:22:31,760
Speaker 1: go out and really do their job. What do you

1387
01:22:31,800 --> 01:22:35,360
Speaker 1: think of the bass relationship with the NYPD. It's horrible.

1388
01:22:36,120 --> 01:22:39,400
Speaker 1: It's horrible. I think personally, I think he's the worst

1389
01:22:39,439 --> 01:22:42,560
Speaker 1: mayor the city has ever had, at least in my lifetime.

1390
01:22:43,000 --> 01:22:45,400
Speaker 1: And you know, I wasn't too happy with David Dinkins.

1391
01:22:46,240 --> 01:22:49,200
Speaker 1: I think the Blasio is far worse. The Blasio is

1392
01:22:49,240 --> 01:22:53,960
Speaker 1: a socialist. De Blasio is somebody that doesn't give a

1393
01:22:54,080 --> 01:22:57,880
Speaker 1: damn about quality of life fishes in the city, the

1394
01:22:58,120 --> 01:23:01,719
Speaker 1: homeless population and the hand handlers and all this stuff

1395
01:23:02,080 --> 01:23:05,280
Speaker 1: that was reminiscent of New York City back in the

1396
01:23:05,920 --> 01:23:08,960
Speaker 1: bad old days prior to Rudy Giuliani taken over. It's

1397
01:23:08,960 --> 01:23:12,560
Speaker 1: all coming back. We've had a major spike in the

1398
01:23:12,640 --> 01:23:15,840
Speaker 1: last month or two in shootings in the city, and

1399
01:23:15,960 --> 01:23:19,759
Speaker 1: as people disrespect the police and as this stuff is promoted,

1400
01:23:20,320 --> 01:23:24,560
Speaker 1: you're going to see increases in crime. And nobody understands

1401
01:23:24,600 --> 01:23:26,679
Speaker 1: this stuff better than I do. I was a cop

1402
01:23:26,760 --> 01:23:30,080
Speaker 1: on the city streets from nineteen eighty sixty to nineteen

1403
01:23:30,160 --> 01:23:33,160
Speaker 1: ninety four when it was the height of the crack

1404
01:23:33,240 --> 01:23:36,559
Speaker 1: epidemic when it was the height of violent crime. Keep

1405
01:23:36,600 --> 01:23:39,000
Speaker 1: in mind, in New York City in nineteen ninety we

1406
01:23:39,120 --> 01:23:44,240
Speaker 1: had twenty four hundred murders when Giuliani came in in

1407
01:23:44,320 --> 01:23:47,800
Speaker 1: nineteen ninety four and he said, look, nobody wants to visit, live,

1408
01:23:48,080 --> 01:23:50,920
Speaker 1: go to school, or work in a place where they're

1409
01:23:50,960 --> 01:23:55,400
Speaker 1: not safe. So this isn't about socioeconomic issues. This is

1410
01:23:55,439 --> 01:23:59,040
Speaker 1: about violent crime and murder, and we're going to reduce that.

1411
01:23:59,160 --> 01:24:03,760
Speaker 1: In honest, buck, for every percentage point that we reduced

1412
01:24:04,000 --> 01:24:07,600
Speaker 1: violent crime and murder, I can show you increases in

1413
01:24:07,720 --> 01:24:13,400
Speaker 1: economic development, real estate values, tourism, reductions at welfare roles.

1414
01:24:13,840 --> 01:24:18,240
Speaker 1: And the bottom line is Giuliani proved that it can

1415
01:24:18,280 --> 01:24:22,679
Speaker 1: be done. So why isn't it done in Baltimore Milwaukee. Well,

1416
01:24:22,840 --> 01:24:24,600
Speaker 1: that's actually the next question I was going to ask you.

1417
01:24:24,760 --> 01:24:27,880
Speaker 1: I was. I was in West Baltimore about a week

1418
01:24:27,920 --> 01:24:30,880
Speaker 1: ago and really made it made the rounds. I mean,

1419
01:24:30,920 --> 01:24:33,000
Speaker 1: I went to go see the worst because I have

1420
01:24:33,080 --> 01:24:35,320
Speaker 1: some some colleagues and friends in Baltimore said look, guys,

1421
01:24:35,360 --> 01:24:37,240
Speaker 1: I need to see this for myself. It is every

1422
01:24:37,240 --> 01:24:39,519
Speaker 1: bit as bad in the bad areas. There's nice areas

1423
01:24:39,560 --> 01:24:42,080
Speaker 1: of Baltimore too, of course, but it's every bit as

1424
01:24:42,120 --> 01:24:44,559
Speaker 1: bad in the bad areas as Trump has been saying

1425
01:24:44,640 --> 01:24:46,799
Speaker 1: and as the public has been led to believe recently.

1426
01:24:47,160 --> 01:24:49,400
Speaker 1: If I if I've brought you out of you know,

1427
01:24:49,479 --> 01:24:51,840
Speaker 1: civilian life and said, all right, Bernie, you're you're now

1428
01:24:51,880 --> 01:24:55,240
Speaker 1: the police commissioner of Baltimore. We got to get this

1429
01:24:55,320 --> 01:24:57,759
Speaker 1: place to have a murder rate that isn't frightening away

1430
01:24:57,840 --> 01:25:00,240
Speaker 1: investment and people that want to live there and everything else.

1431
01:25:00,400 --> 01:25:03,040
Speaker 1: What has to happen? What do you do? Well, first

1432
01:25:03,040 --> 01:25:08,240
Speaker 1: and foremost, you have to engage aggressive policing. And that

1433
01:25:08,479 --> 01:25:13,200
Speaker 1: is what the lefts against. They're completely against aggressive policing.

1434
01:25:13,720 --> 01:25:16,839
Speaker 1: They're one hundred percent against it. You know, they want,

1435
01:25:17,600 --> 01:25:20,080
Speaker 1: you know, I'm not exactly sure what they want, but

1436
01:25:20,240 --> 01:25:23,000
Speaker 1: they don't want what we did in New York City

1437
01:25:23,280 --> 01:25:25,880
Speaker 1: in nine from nineteen ninety four to two thousand and two,

1438
01:25:26,640 --> 01:25:30,360
Speaker 1: when we reduced the violent crime. I think the numbers

1439
01:25:30,360 --> 01:25:34,240
Speaker 1: were sixty five percent sixty five percent reduction in violent

1440
01:25:34,280 --> 01:25:37,360
Speaker 1: crime and close to a seventy percent in murder. And

1441
01:25:37,439 --> 01:25:42,000
Speaker 1: in some of the minority communities, the black communities, the

1442
01:25:42,040 --> 01:25:45,519
Speaker 1: black precincts around the city, the murder rate was dropped

1443
01:25:45,520 --> 01:25:49,280
Speaker 1: by close to eighty percent. That's what should be happening

1444
01:25:49,280 --> 01:25:52,440
Speaker 1: in places like Baltimore, in Chicago and these other places.

1445
01:25:52,479 --> 01:25:55,160
Speaker 1: But you need a mayor that's going to take the

1446
01:25:55,240 --> 01:25:58,080
Speaker 1: handcuffs off the cops, let them go out and do

1447
01:25:58,120 --> 01:26:00,280
Speaker 1: their job. You need a mayor that's not going to

1448
01:26:00,400 --> 01:26:04,559
Speaker 1: villainize the police. They're not going to victimize the thugs

1449
01:26:04,560 --> 01:26:09,960
Speaker 1: in the street. And unfortunately, in the democratic arena, you know,

1450
01:26:10,200 --> 01:26:15,720
Speaker 1: especially in the far left leaning politicians, they're never going

1451
01:26:15,760 --> 01:26:18,200
Speaker 1: to do that. If you were back in the top

1452
01:26:18,280 --> 01:26:21,320
Speaker 1: job at the NYPD, how would you have handled the

1453
01:26:21,400 --> 01:26:23,920
Speaker 1: case of Officer Pantalio and Eric Garner. You know that

1454
01:26:24,000 --> 01:26:27,040
Speaker 1: got a lot of attention recently. People were yelling out

1455
01:26:27,040 --> 01:26:30,559
Speaker 1: at a Democratic debate fire Pantalio. You've seen the video.

1456
01:26:30,920 --> 01:26:33,320
Speaker 1: I'm sure you've read the reports. What do you think

1457
01:26:33,360 --> 01:26:37,960
Speaker 1: of what happened there? Pantalio was making a lawful arrest.

1458
01:26:38,680 --> 01:26:42,840
Speaker 1: You know. The big thing to outsiders, you know, when

1459
01:26:42,880 --> 01:26:45,360
Speaker 1: they see me or they talk to me, they'll say

1460
01:26:46,200 --> 01:26:50,960
Speaker 1: they killed the guy for selling loose cigarettes. You know,

1461
01:26:51,080 --> 01:26:54,840
Speaker 1: one two cigarettes at a time. No. No. A guide

1462
01:26:54,920 --> 01:26:58,840
Speaker 1: died as a result of resisting arrest. An arrest that

1463
01:26:58,960 --> 01:27:03,080
Speaker 1: was lawful one selling loose cigarettes as a crime. Somebody

1464
01:27:03,120 --> 01:27:07,680
Speaker 1: called the police. They wanted him arrested. They made a complaint,

1465
01:27:07,680 --> 01:27:10,559
Speaker 1: a police complaint because he was doing this in front

1466
01:27:10,600 --> 01:27:15,280
Speaker 1: of a store. The police responded, affected an arrest. He

1467
01:27:15,439 --> 01:27:18,519
Speaker 1: resisted arrest. I don't care if he was selling loose

1468
01:27:18,560 --> 01:27:22,439
Speaker 1: cigarettes or he committed mass murder. Does not make any difference.

1469
01:27:22,720 --> 01:27:25,799
Speaker 1: When the police say you're under arrest, you must comply.

1470
01:27:26,439 --> 01:27:32,120
Speaker 1: He resisted. Pantaleo engaged in a takedown, not a chokehold.

1471
01:27:32,400 --> 01:27:34,800
Speaker 1: A takedown. I've been involved in the martial arts since

1472
01:27:34,840 --> 01:27:37,960
Speaker 1: i was fourteen years old. I know what I'm talking about.

1473
01:27:38,040 --> 01:27:41,000
Speaker 1: It was a takedown. They were panic strict, and those

1474
01:27:41,000 --> 01:27:43,840
Speaker 1: cops were scared at death. They're fighting a three hundred

1475
01:27:43,840 --> 01:27:46,400
Speaker 1: and eighty pound guy in front of a major plate

1476
01:27:46,400 --> 01:27:49,439
Speaker 1: glass window and they're all armed. Two things you don't

1477
01:27:49,439 --> 01:27:51,240
Speaker 1: want to happen. You don't want to get through and

1478
01:27:51,320 --> 01:27:55,439
Speaker 1: thrown through that plate glass window, and you damn sure,

1479
01:27:55,439 --> 01:27:57,760
Speaker 1: I don't want this guy taking your gun. You gotta

1480
01:27:57,800 --> 01:27:59,599
Speaker 1: get him down on the ground and get him in cuffs.

1481
01:28:00,080 --> 01:28:02,720
Speaker 1: That's what they did during the course of this. As

1482
01:28:02,760 --> 01:28:07,280
Speaker 1: a result of some medical conditions. He dies. They didn't

1483
01:28:07,360 --> 01:28:11,240
Speaker 1: kill him. He died as a result of resisting. That's

1484
01:28:11,240 --> 01:28:15,000
Speaker 1: the bottom line. There's been a civil rights inquiry by

1485
01:28:15,040 --> 01:28:18,200
Speaker 1: the US Department of Justice and there was a grand

1486
01:28:18,240 --> 01:28:23,200
Speaker 1: jury investigation, both of which refused to charge Pantaleo. He

1487
01:28:23,240 --> 01:28:26,360
Speaker 1: should not be fired, and if he is fired, it's

1488
01:28:26,520 --> 01:28:30,080
Speaker 1: nothing but a political stunt or political move by the

1489
01:28:30,080 --> 01:28:34,880
Speaker 1: Blasio and should never happen. Bernard Carrick, everybody, fortieth police

1490
01:28:34,880 --> 01:28:39,439
Speaker 1: Commissioner of the NYPD in New York City, best selling

1491
01:28:39,479 --> 01:28:42,559
Speaker 1: author Bernie really appreciate your time, your expertise. Please please

1492
01:28:42,600 --> 01:28:44,040
Speaker 1: come back to the show soon. All right, you take

1493
01:28:44,080 --> 01:28:48,679
Speaker 1: care buck, Thank you. All right, team, we've got more

1494
01:28:48,720 --> 01:28:54,360
Speaker 1: coming up here in just a moment. Stay with me. Well, team,

1495
01:28:54,360 --> 01:28:56,519
Speaker 1: I'm getting down in my last couple of weeks here

1496
01:28:56,560 --> 01:29:00,720
Speaker 1: in Washington, d C. Now I'm gonna start to get

1497
01:29:00,720 --> 01:29:02,920
Speaker 1: a little nostalgic about the swamp. I've only been down

1498
01:29:02,920 --> 01:29:04,960
Speaker 1: here for about a year, but I've lived here before

1499
01:29:05,000 --> 01:29:08,360
Speaker 1: for a number of years. Today, i'd never been to

1500
01:29:08,760 --> 01:29:13,120
Speaker 1: the Treasury Department, which just seemed like a Yeah, I've

1501
01:29:13,120 --> 01:29:15,439
Speaker 1: been to the White House a bunch of times. DJ.

1502
01:29:15,600 --> 01:29:17,320
Speaker 1: Obviously I worked at the CIA. Been there are a

1503
01:29:17,360 --> 01:29:20,760
Speaker 1: million times, been to the Pentagon, you know, I've been

1504
01:29:20,800 --> 01:29:23,280
Speaker 1: a lot of these places. I decided that, you know,

1505
01:29:23,320 --> 01:29:24,400
Speaker 1: I want to I want to go check out the

1506
01:29:24,439 --> 01:29:26,679
Speaker 1: Treasure Department. So I had lunch with a friend over there.

1507
01:29:27,520 --> 01:29:29,559
Speaker 1: Very nice. They had a I don't know if it's

1508
01:29:29,560 --> 01:29:32,160
Speaker 1: a balcony or a veranda or a terrorist I don't

1509
01:29:32,160 --> 01:29:34,599
Speaker 1: know what you call it. Those are all different things.

1510
01:29:34,600 --> 01:29:36,440
Speaker 1: I know you guys are gonna send me the definitions

1511
01:29:36,439 --> 01:29:39,040
Speaker 1: for all these. But in an outdoor eating area where

1512
01:29:39,080 --> 01:29:41,920
Speaker 1: you look over the White House, and it was very

1513
01:29:42,640 --> 01:29:46,400
Speaker 1: It's very civilized. I had a cop solid and iced tea.

1514
01:29:46,439 --> 01:29:50,120
Speaker 1: It felt very like, oh oh, perhaps perhaps we'll talk

1515
01:29:50,160 --> 01:29:57,519
Speaker 1: about bonds and stocks and Randolph, Yes, you know wind

1516
01:29:57,560 --> 01:30:00,799
Speaker 1: Throw it's the guy's name, Mortimer randol Off and Mortimer

1517
01:30:00,920 --> 01:30:03,920
Speaker 1: from Coming to America. You guys remember that. I think

1518
01:30:03,960 --> 01:30:08,160
Speaker 1: that's the I think that's the second best Eddie Murphy movie.

1519
01:30:08,320 --> 01:30:10,600
Speaker 1: I think number one is Beverly Hills Cop one, and

1520
01:30:10,640 --> 01:30:13,400
Speaker 1: then I think number two is coming is coming to America. No,

1521
01:30:13,520 --> 01:30:17,000
Speaker 1: not coming to America. Sorry. Trading places. Trading places, that's

1522
01:30:17,960 --> 01:30:22,719
Speaker 1: Rondolph Mortimer. Some of you have a lot. No exactly

1523
01:30:22,760 --> 01:30:26,760
Speaker 1: what I'm talking about A lot. You have no idea. Oh,

1524
01:30:26,800 --> 01:30:29,960
Speaker 1: that's right, they are that they exist in in uh

1525
01:30:30,400 --> 01:30:34,240
Speaker 1: coming to America again, that's right, we're bucking business Mortimer.

1526
01:30:34,360 --> 01:30:37,360
Speaker 1: I remember that. Yeah, those guys are great. That's a

1527
01:30:37,400 --> 01:30:40,799
Speaker 1: great movie. So uh yeah, I was at the Treasury Department.

1528
01:30:40,800 --> 01:30:44,080
Speaker 1: You walk around Treasury and you think that all of

1529
01:30:44,160 --> 01:30:48,559
Speaker 1: a sudden, the Harvard, the Harvard Faculty Lounge has essentially

1530
01:30:48,560 --> 01:30:51,400
Speaker 1: turned into a building. It's just very everything is very

1531
01:30:51,400 --> 01:30:53,920
Speaker 1: elegant and quiet, and I gotta say it's definitely the

1532
01:30:53,920 --> 01:30:55,559
Speaker 1: money building, you know what I mean. You you walk

1533
01:30:55,560 --> 01:31:00,200
Speaker 1: around an Apartment of Justice and you're like, yeah, there's

1534
01:31:00,200 --> 01:31:02,479
Speaker 1: a fair amount of ill fitting suits and square toed

1535
01:31:02,520 --> 01:31:05,800
Speaker 1: loafers in here, and it looks like there's probably a

1536
01:31:05,800 --> 01:31:07,760
Speaker 1: couple of romans where they might do that might do

1537
01:31:07,840 --> 01:31:10,560
Speaker 1: some on the side interrogations. You know, it's not exactly

1538
01:31:11,080 --> 01:31:13,160
Speaker 1: as There are very nice parts. If you go near

1539
01:31:13,200 --> 01:31:15,639
Speaker 1: the Attorney General's office and such. I've been over there.

1540
01:31:15,680 --> 01:31:19,000
Speaker 1: That's very fancy, But overall DJ is a little a

1541
01:31:19,040 --> 01:31:25,120
Speaker 1: little government bureaucracy, drab and depressing. You go to CIA,

1542
01:31:25,120 --> 01:31:27,599
Speaker 1: and I always tell people the CIA has a couple

1543
01:31:27,600 --> 01:31:30,920
Speaker 1: of cool parts for visitors, but the actual building where

1544
01:31:30,960 --> 01:31:33,679
Speaker 1: you work, it's like the inside of a bus terminal

1545
01:31:33,760 --> 01:31:35,600
Speaker 1: or something. I mean, it's just a lot of anomium

1546
01:31:35,600 --> 01:31:39,240
Speaker 1: floors and track lighting, and it is not sexy in there.

1547
01:31:39,360 --> 01:31:42,519
Speaker 1: There then no, you do not open a door and

1548
01:31:42,560 --> 01:31:46,479
Speaker 1: there are people doing ninja training with flamethrowers and climbing

1549
01:31:46,560 --> 01:31:49,080
Speaker 1: up and down ropes and stuff like that. That's unfortunately

1550
01:31:50,320 --> 01:31:52,400
Speaker 1: or is there, but no, just kidding that that's not

1551
01:31:52,439 --> 01:31:55,280
Speaker 1: really a thing that happens. The White House is the

1552
01:31:55,280 --> 01:31:56,920
Speaker 1: white I will say the White House actually has some

1553
01:31:56,960 --> 01:31:58,599
Speaker 1: parts of it where you go really this is it.

1554
01:31:59,560 --> 01:32:02,639
Speaker 1: The office I think is smaller than people would would imagine,

1555
01:32:02,720 --> 01:32:04,800
Speaker 1: especially from TV and other things. It's really not that

1556
01:32:04,960 --> 01:32:09,280
Speaker 1: big though, press pool area, the you know where the

1557
01:32:09,360 --> 01:32:13,960
Speaker 1: in the west wing that's it's almost like run down.

1558
01:32:14,040 --> 01:32:17,120
Speaker 1: It looks kind of like the science the science or

1559
01:32:17,160 --> 01:32:22,639
Speaker 1: the auditorium rather for you know, high school biology class

1560
01:32:22,720 --> 01:32:24,760
Speaker 1: that nobody really wants to take. It's just not really

1561
01:32:24,760 --> 01:32:27,200
Speaker 1: that not really that impressive. So anyway, first time over

1562
01:32:27,280 --> 01:32:29,040
Speaker 1: Treasury is pretty cool. If you ever get the chance,

1563
01:32:29,680 --> 01:32:31,479
Speaker 1: somebody will give you a tour of it. I saw

1564
01:32:31,520 --> 01:32:34,559
Speaker 1: the vault, and I saw them the cash room. There

1565
01:32:34,720 --> 01:32:38,479
Speaker 1: was interesting fact, until nineteen seventy there was a working

1566
01:32:38,640 --> 01:32:42,479
Speaker 1: bank in the Department of the Treasury. But yeah, that's

1567
01:32:42,560 --> 01:32:45,000
Speaker 1: that's a fancy building. That's where all the people making

1568
01:32:45,000 --> 01:32:47,680
Speaker 1: money cash millionaires, or at least they used to and

1569
01:32:47,720 --> 01:32:49,680
Speaker 1: now they work for the government. That's that. I was

1570
01:32:49,680 --> 01:32:51,679
Speaker 1: trying to think of what the nicest of all these

1571
01:32:51,680 --> 01:32:54,160
Speaker 1: federal buildings. That the Treasury is pretty nice. I think

1572
01:32:54,200 --> 01:32:56,920
Speaker 1: that's probably the most. If you're looking for the federal

1573
01:32:56,960 --> 01:32:59,880
Speaker 1: equivalent of the Country Club Agency, I think it's probably

1574
01:33:00,000 --> 01:33:03,320
Speaker 1: got to be the Treasury Department. It's definitely not the Pentagon,

1575
01:33:04,000 --> 01:33:06,360
Speaker 1: which you walk around that thing and you're like just

1576
01:33:06,439 --> 01:33:08,200
Speaker 1: hoping at least I used to walk around and I

1577
01:33:08,200 --> 01:33:10,800
Speaker 1: hope that I wouldn't get lost. It's like where am I?

1578
01:33:11,200 --> 01:33:12,840
Speaker 1: But you never want to be that dork who's walk

1579
01:33:12,880 --> 01:33:16,120
Speaker 1: from the Pentagon, like excuse me, mister two star general.

1580
01:33:17,120 --> 01:33:20,760
Speaker 1: But this floor is like E seven two and I

1581
01:33:20,800 --> 01:33:23,080
Speaker 1: want to go to I want to go to sub

1582
01:33:23,120 --> 01:33:27,120
Speaker 1: basement q RZ, and I just you don't want to

1583
01:33:27,120 --> 01:33:28,559
Speaker 1: be that guy, so you just end up doing what

1584
01:33:28,640 --> 01:33:31,240
Speaker 1: I did as a dork from Langley who would just

1585
01:33:31,560 --> 01:33:34,479
Speaker 1: walk around the hallways totally lost, like what am I

1586
01:33:34,560 --> 01:33:38,280
Speaker 1: doing here? But anyway, Treasury Department was fun getting in

1587
01:33:38,320 --> 01:33:52,320
Speaker 1: some last DC stories. Roll calls up next, Hey, team Buck,

1588
01:33:52,720 --> 01:34:06,639
Speaker 1: it's time for roll call roll call time, which means

1589
01:34:06,640 --> 01:34:11,000
Speaker 1: Facebook dot com slash Buck Sexton. Is how you get

1590
01:34:11,040 --> 01:34:15,160
Speaker 1: this action going? I do hope one day we'll get

1591
01:34:15,200 --> 01:34:17,320
Speaker 1: an email account we can start to use for the show.

1592
01:34:17,360 --> 01:34:19,240
Speaker 1: But I just you know what it is. It's too

1593
01:34:19,240 --> 01:34:21,240
Speaker 1: hard to switch into all these different email accounts all

1594
01:34:21,240 --> 01:34:23,960
Speaker 1: the time. I need like thumb print and eye scanner stuff.

1595
01:34:23,960 --> 01:34:26,600
Speaker 1: I'm sick of all the passwords. I feel like I

1596
01:34:26,640 --> 01:34:28,680
Speaker 1: spend whole days of my life trying to trying to

1597
01:34:28,720 --> 01:34:31,960
Speaker 1: get the passwords that I don't I can't remember, I

1598
01:34:32,000 --> 01:34:34,840
Speaker 1: can't figure out all right, I know, I get off

1599
01:34:34,880 --> 01:34:40,719
Speaker 1: my lawn. True. Okay, UM, let's see here we have

1600
01:34:41,120 --> 01:34:45,160
Speaker 1: Andy Rights. I don't know about the other guy, Buck,

1601
01:34:46,160 --> 01:34:49,759
Speaker 1: but these are sleeper cells. Whether you want to admit

1602
01:34:49,800 --> 01:34:52,920
Speaker 1: it or not. I understand you can't say this on radio,

1603
01:34:53,760 --> 01:34:55,519
Speaker 1: but I think with your training you can get it.

1604
01:34:57,200 --> 01:35:02,360
Speaker 1: Andy U. If we're gonna have to agree to disagree

1605
01:35:02,360 --> 01:35:06,760
Speaker 1: on this one, Eric, all rights, Hey back, love a show.

1606
01:35:06,800 --> 01:35:09,839
Speaker 1: I've been a listener since Saturday shows in the Blaze.

1607
01:35:10,160 --> 01:35:11,880
Speaker 1: I know you said you have an open mind toward

1608
01:35:11,960 --> 01:35:14,519
Speaker 1: red flag laws. However, I would like you to consider something.

1609
01:35:14,840 --> 01:35:17,719
Speaker 1: If anyone were to suggest that instead of taking away

1610
01:35:17,720 --> 01:35:21,040
Speaker 1: the guns of a dangerous person, we would lock the

1611
01:35:21,080 --> 01:35:23,040
Speaker 1: person up for a period of time without due process,

1612
01:35:23,400 --> 01:35:27,479
Speaker 1: everyone will be screaming that's totally unconstitutional. We cannot give

1613
01:35:27,560 --> 01:35:30,639
Speaker 1: up our rights, not even a little. Giving this much

1614
01:35:30,680 --> 01:35:34,839
Speaker 1: power to the court system is a recipe for disaster shields.

1615
01:35:34,960 --> 01:35:40,920
Speaker 1: High Eric, you know, I do see it as a problem.

1616
01:35:40,920 --> 01:35:42,760
Speaker 1: I just think it to trade off and we have

1617
01:35:42,760 --> 01:35:45,720
Speaker 1: to see what the specifics are of the proposed legislation.

1618
01:35:45,880 --> 01:35:49,080
Speaker 1: But this is one of these times when I think

1619
01:35:49,080 --> 01:35:53,400
Speaker 1: for myself, maybe maybe I even subconsciously was feeling more

1620
01:35:53,479 --> 01:35:56,639
Speaker 1: of the heat of the moment here. We must do something,

1621
01:35:56,680 --> 01:35:59,080
Speaker 1: we must do something. No, we don't have to do

1622
01:35:59,120 --> 01:36:01,479
Speaker 1: something unless it's worth doing. I think that's a good

1623
01:36:01,560 --> 01:36:05,040
Speaker 1: rule for everything, a good rule for life in general.

1624
01:36:05,240 --> 01:36:10,320
Speaker 1: So that's what I would say about that. Keith rights. Yes,

1625
01:36:10,320 --> 01:36:12,960
Speaker 1: they are completely off the rails. They'll say or do anything.

1626
01:36:13,040 --> 01:36:17,120
Speaker 1: The eight to eight thing on MSNBC proves it. Yeah, Keith.

1627
01:36:17,120 --> 01:36:19,120
Speaker 1: I mean, that was one of the one of the

1628
01:36:19,120 --> 01:36:22,360
Speaker 1: craziest things I've ever seen on television. Somebody who was

1629
01:36:22,400 --> 01:36:25,840
Speaker 1: a former senior FBI agent is really going around saying

1630
01:36:25,880 --> 01:36:30,719
Speaker 1: that because of August eighth is the day the flag

1631
01:36:30,760 --> 01:36:33,160
Speaker 1: will be raised from I mean, it's just a question

1632
01:36:33,200 --> 01:36:36,280
Speaker 1: of something terrible happened. They're gonna have the flags that

1633
01:36:36,400 --> 01:36:37,960
Speaker 1: have staff for a couple of days, and then they're

1634
01:36:37,960 --> 01:36:40,440
Speaker 1: not going to have them have There's no special messaging

1635
01:36:40,520 --> 01:36:42,519
Speaker 1: there that has anything to do with eight eight in

1636
01:36:42,520 --> 01:36:46,360
Speaker 1: white supremacy. I agree with you. It was just nuts.

1637
01:36:47,520 --> 01:36:51,360
Speaker 1: Steven writes, red flag laws more cyber monitoring. What the

1638
01:36:51,400 --> 01:36:54,840
Speaker 1: hell have you lost your damn mind? Reality check? Buck

1639
01:36:54,920 --> 01:36:58,599
Speaker 1: slap Sexton, stand down, go reread the Declaration the Bill

1640
01:36:58,640 --> 01:37:03,240
Speaker 1: of Rights, all right, Steven, I mean, first of all,

1641
01:37:03,280 --> 01:37:06,479
Speaker 1: cyber monitoring is if it's public space, it's public space,

1642
01:37:06,560 --> 01:37:08,519
Speaker 1: my friends. So that's not you know, I deal with

1643
01:37:08,560 --> 01:37:11,639
Speaker 1: this in the law enforcement side. If you're posting stuff

1644
01:37:11,760 --> 01:37:13,960
Speaker 1: and it's open to anyone on the Internet, it's open

1645
01:37:13,960 --> 01:37:16,080
Speaker 1: to anyone, including law enforcement the Internet. So it depends

1646
01:37:16,080 --> 01:37:18,520
Speaker 1: on the cyber monitoring we're talking about. There's no constitutional

1647
01:37:18,520 --> 01:37:22,280
Speaker 1: issue with public forum law enforcement looking at public forum.

1648
01:37:22,360 --> 01:37:26,000
Speaker 1: That's just the way it is. As for red flag laws,

1649
01:37:26,000 --> 01:37:27,880
Speaker 1: all right, all right, I get it. You guys are

1650
01:37:27,920 --> 01:37:30,400
Speaker 1: really not on you know, go yell at Trump? Why

1651
01:37:30,400 --> 01:37:32,519
Speaker 1: are all yelling at me over red flag laws? He's

1652
01:37:32,560 --> 01:37:35,439
Speaker 1: the one that's saying that he's open to this idea.

1653
01:37:35,439 --> 01:37:37,320
Speaker 1: You've got a bunch of Republicans that are talking about

1654
01:37:37,320 --> 01:37:40,920
Speaker 1: how maybe this is finally something that they're willing to do.

1655
01:37:42,080 --> 01:37:50,040
Speaker 1: So we shall see. Laurie. Right, here's a suggestion for

1656
01:37:50,080 --> 01:37:51,920
Speaker 1: you for your show who to have on? All right,

1657
01:37:51,960 --> 01:37:53,559
Speaker 1: I'll take a look at this guy, Laurie, thank you

1658
01:37:53,600 --> 01:37:56,680
Speaker 1: for sending that in here. We got to go to

1659
01:37:56,680 --> 01:38:01,120
Speaker 1: the unred folder. Jeff right Buck, I love a show.

1660
01:38:01,120 --> 01:38:03,439
Speaker 1: Stumbled across the trailer for a movie that depicts the

1661
01:38:03,439 --> 01:38:09,080
Speaker 1: elite lives hunting deplorables for sport. Yeah, man, I've been

1662
01:38:09,080 --> 01:38:10,920
Speaker 1: talking about that on the show. I'm aware this is

1663
01:38:10,960 --> 01:38:14,080
Speaker 1: not This is not good. This is not something that

1664
01:38:14,120 --> 01:38:17,920
Speaker 1: the Buckster thinks is in the realm of good taste

1665
01:38:18,000 --> 01:38:27,160
Speaker 1: or acceptable, acceptable creative discourse. Richard writes Buck on More Guns,

1666
01:38:27,240 --> 01:38:30,760
Speaker 1: Less Crime. As a freelance animator and artist, I used

1667
01:38:30,760 --> 01:38:33,280
Speaker 1: to deliver pizza for Papa John's when the work would

1668
01:38:33,320 --> 01:38:36,080
Speaker 1: get slow. If why, if you're ever moving somewhere, I

1669
01:38:36,080 --> 01:38:37,680
Speaker 1: want to know if it's a neighborhood that's safe or not.

1670
01:38:38,080 --> 01:38:41,120
Speaker 1: Papa John's will not deliver to an area with a

1671
01:38:41,160 --> 01:38:44,120
Speaker 1: bad crime rate. The only exception is if you go

1672
01:38:44,160 --> 01:38:46,960
Speaker 1: to your local Papa john and get on the exception list.

1673
01:38:47,520 --> 01:38:50,120
Speaker 1: One such exception was this really nice lady on the

1674
01:38:50,160 --> 01:38:53,160
Speaker 1: south side of town. On the receiver always said take

1675
01:38:53,160 --> 01:38:56,360
Speaker 1: off your car topper. She has a gun. It's okay.

1676
01:38:56,920 --> 01:38:58,720
Speaker 1: Would you pull up and knock on the door and

1677
01:38:58,800 --> 01:39:01,679
Speaker 1: five locks would click until the door would crack open

1678
01:39:01,760 --> 01:39:04,920
Speaker 1: and over under shotgun would greet you. She would see

1679
01:39:04,960 --> 01:39:07,120
Speaker 1: you and pay fast, wanting you to get out of

1680
01:39:07,160 --> 01:39:09,160
Speaker 1: here before they see you. Referring to the thugs down

1681
01:39:09,160 --> 01:39:12,000
Speaker 1: the street. Those thugs didn't mess with that lady because

1682
01:39:12,040 --> 01:39:14,200
Speaker 1: she had a gun. If it was easier for law

1683
01:39:14,200 --> 01:39:16,760
Speaker 1: abiding citizens to defend themselves and their property than thugs

1684
01:39:16,760 --> 01:39:20,639
Speaker 1: would thing twice before terrorizing an inner city neighborhood, shields high. Well,

1685
01:39:20,680 --> 01:39:23,280
Speaker 1: you know, Richard, that's quite a story. Thanks for sharing that,

1686
01:39:23,920 --> 01:39:26,040
Speaker 1: And I would tell you that. Look, I mean, I

1687
01:39:26,080 --> 01:39:30,400
Speaker 1: had some pretty decent training when I was in the

1688
01:39:30,400 --> 01:39:35,479
Speaker 1: federal government on different weapons systems, particularly on handguns. So

1689
01:39:36,000 --> 01:39:39,000
Speaker 1: I always believe that if you have a trained, law

1690
01:39:39,000 --> 01:39:42,400
Speaker 1: abiding patriot who is armed, everybody is safer in that

1691
01:39:42,439 --> 01:39:45,280
Speaker 1: person's vicinity, because I know that if I could walk

1692
01:39:45,280 --> 01:39:47,040
Speaker 1: around and I can't because I don't. I can't get

1693
01:39:47,040 --> 01:39:49,519
Speaker 1: a concealed carry permit here or an open carry permit here.

1694
01:39:49,880 --> 01:39:52,439
Speaker 1: But if I could walk around DC concealed carry, every

1695
01:39:52,439 --> 01:39:56,120
Speaker 1: person in my vicinity is safer. If something goes down,

1696
01:39:56,960 --> 01:39:59,320
Speaker 1: I'm gonna be able to react and respond in a

1697
01:39:59,360 --> 01:40:04,840
Speaker 1: way that could neutralize the threat. Rachel Or just wanted

1698
01:40:04,880 --> 01:40:08,439
Speaker 1: to commend you on your mar appearance. The blonde was

1699
01:40:08,520 --> 01:40:11,920
Speaker 1: overly expressive with her hands and totally in your bubble,

1700
01:40:11,960 --> 01:40:14,880
Speaker 1: but you handled it well well, rachel That blonde is

1701
01:40:15,000 --> 01:40:18,840
Speaker 1: Jennifer Granholm, who was the governor of Michigan, which makes

1702
01:40:18,840 --> 01:40:21,960
Speaker 1: me think that Michigan and I need to have a conversation.

1703
01:40:22,960 --> 01:40:27,080
Speaker 1: What's what's going on Michigan? Miss Granholm seems like a

1704
01:40:27,200 --> 01:40:34,120
Speaker 1: nice lady, but putting her in charge? Come on, Wendy, right.

1705
01:40:34,320 --> 01:40:36,519
Speaker 1: Thank you for your monologue opening. I've been waiting for

1706
01:40:36,600 --> 01:40:41,040
Speaker 1: it all day. I just love you. Thanks Buck really well, Wendy,

1707
01:40:41,400 --> 01:40:44,120
Speaker 1: love you too, Thank you so much, very kind of you,

1708
01:40:44,200 --> 01:40:46,000
Speaker 1: and I'm glad that you got to hear the monologue

1709
01:40:46,040 --> 01:40:49,519
Speaker 1: and waiting for all day. We try to always make

1710
01:40:49,560 --> 01:40:56,280
Speaker 1: it worth your time here. Let's see Linda, whoa, this

1711
01:40:56,320 --> 01:40:59,200
Speaker 1: is a long one. Sometimes I don't get to hear

1712
01:40:59,200 --> 01:41:02,080
Speaker 1: your programs at work five nights a week. But now

1713
01:41:02,080 --> 01:41:05,040
Speaker 1: we're hearing about these two mass shootings and people are

1714
01:41:05,040 --> 01:41:08,000
Speaker 1: bringing up gun control. Why are the Republicans so willing

1715
01:41:08,000 --> 01:41:10,040
Speaker 1: to go with gun control with a socialist when no

1716
01:41:10,080 --> 01:41:14,000
Speaker 1: one ever talks about controlling illegals entering after they commit

1717
01:41:14,040 --> 01:41:17,640
Speaker 1: horrific crimes. I dare say more Americans have died at

1718
01:41:17,680 --> 01:41:19,719
Speaker 1: the hands of illegals than have died at the hands

1719
01:41:19,840 --> 01:41:24,960
Speaker 1: of a gun toting person. Lydia, I appreciate your passion.

1720
01:41:25,000 --> 01:41:29,160
Speaker 1: I don't think that's correct, but I'm pretty sure it's not,

1721
01:41:29,160 --> 01:41:32,920
Speaker 1: but I get what you're saying. By the way, I

1722
01:41:33,000 --> 01:41:35,240
Speaker 1: love your show and listening to you, you just make sense. Well,

1723
01:41:35,240 --> 01:41:37,559
Speaker 1: thank you very much, Lydia. That's the most important part

1724
01:41:37,560 --> 01:41:39,439
Speaker 1: of this whole exchange. Thank you for listening to the

1725
01:41:39,479 --> 01:41:44,280
Speaker 1: show and sending your thoughts on this one. Sandy right

1726
01:41:44,320 --> 01:41:47,880
Speaker 1: so I'm very thankful for patriots. Thank you, Sandy. I'm

1727
01:41:47,920 --> 01:41:49,760
Speaker 1: thankful for patriots like you are willing to give me

1728
01:41:49,800 --> 01:41:53,160
Speaker 1: your time and listen to what I've got going on

1729
01:41:53,240 --> 01:41:58,160
Speaker 1: here in the Freedom Hunt. Let's see here, Steve. It's

1730
01:41:58,160 --> 01:42:02,400
Speaker 1: excited to watch you on mar Hopefully you you were

1731
01:42:02,400 --> 01:42:03,880
Speaker 1: able to get in all the words you had to

1732
01:42:03,920 --> 01:42:06,920
Speaker 1: see or had to say. You have been inspirational to

1733
01:42:07,000 --> 01:42:10,320
Speaker 1: thousands and thousands of American patriots, including myself. Now you're

1734
01:42:10,320 --> 01:42:12,679
Speaker 1: on the stage that I assume lives are tuning into.

1735
01:42:14,320 --> 01:42:16,160
Speaker 1: Pray to God. Your speech and words you are able

1736
01:42:16,200 --> 01:42:18,479
Speaker 1: to shake some common sense and in many across our

1737
01:42:18,479 --> 01:42:22,040
Speaker 1: great nation. Steve Shields High, thank you so much. Thank

1738
01:42:22,040 --> 01:42:27,040
Speaker 1: you so much, Steve. We've got another one coming in here.

1739
01:42:27,240 --> 01:42:30,000
Speaker 1: It's I can't see who wrote it. The name is

1740
01:42:30,439 --> 01:42:32,280
Speaker 1: going blank on you right now. But it's just as

1741
01:42:32,360 --> 01:42:36,320
Speaker 1: please don't sing, all right, all right? I know, I

1742
01:42:36,439 --> 01:42:38,280
Speaker 1: know if I did a little practice, I'm telling you

1743
01:42:38,320 --> 01:42:41,680
Speaker 1: I could, I could carry a tune. But I know

1744
01:42:41,840 --> 01:42:44,400
Speaker 1: right now it's not really not as good as it

1745
01:42:44,400 --> 01:42:47,280
Speaker 1: should be. Thomas writes, break me up off a piece

1746
01:42:47,280 --> 01:42:52,479
Speaker 1: of that Kitcat bar. Lol, Thomas, I don't know are

1747
01:42:52,479 --> 01:42:55,240
Speaker 1: you hungry or what? What's got kitcat bar on your mind?

1748
01:42:55,320 --> 01:43:00,600
Speaker 1: My friend, that's I don't know. I can't explain that one. Andrea,

1749
01:43:00,840 --> 01:43:07,280
Speaker 1: all right, I hope you're doing well. Thank you very much, Andrea,

1750
01:43:07,320 --> 01:43:12,160
Speaker 1: I am doing well. Let's see Dave from Earlton, New York,

1751
01:43:12,280 --> 01:43:16,160
Speaker 1: w g Y listener, and this is Shinola is an

1752
01:43:16,160 --> 01:43:22,479
Speaker 1: old brand of shoe polish. Thanks very much. Your show's insightful.

1753
01:43:22,520 --> 01:43:25,760
Speaker 1: I appreciate that. Yes, Shinolah shoe polish. Randy also right,

1754
01:43:25,840 --> 01:43:30,720
Speaker 1: Shinolah shoe polish. Deborah. Okay, okay, guys, thank you. We

1755
01:43:30,840 --> 01:43:37,840
Speaker 1: have we have established that Shinola is shoe polish. Let's see.

1756
01:43:38,000 --> 01:43:42,040
Speaker 1: Here's Scott. We got from Scott Park. I love the show,

1757
01:43:42,400 --> 01:43:44,280
Speaker 1: so it's the best way to start out. Any note,

1758
01:43:44,760 --> 01:43:47,240
Speaker 1: I myself had a recent running with CBP. I drove

1759
01:43:47,280 --> 01:43:50,760
Speaker 1: to Canada. When coming back across the border, was told

1760
01:43:50,800 --> 01:43:52,800
Speaker 1: to park and go inside. I went inside and stood

1761
01:43:52,840 --> 01:43:54,880
Speaker 1: around for about forty five minutes before anyone would talk

1762
01:43:54,920 --> 01:43:57,120
Speaker 1: to me. Well, my name was called. I was told

1763
01:43:57,120 --> 01:43:59,040
Speaker 1: to turn over my keys and no, I was not

1764
01:43:59,120 --> 01:44:02,200
Speaker 1: allowed to watch them search my vehicle. After the search,

1765
01:44:02,320 --> 01:44:04,759
Speaker 1: I was told I owed thirteen dollars for the commercial

1766
01:44:04,840 --> 01:44:06,760
Speaker 1: goods I was carrying, which I had declared, and I

1767
01:44:06,800 --> 01:44:09,639
Speaker 1: was sent on my way. I support CBP when they're

1768
01:44:09,640 --> 01:44:12,800
Speaker 1: interdicting illegal activity, but I do not support this type

1769
01:44:12,800 --> 01:44:14,840
Speaker 1: of harassment of US citizens who are simply trying to

1770
01:44:14,840 --> 01:44:18,720
Speaker 1: get across the border after conducting business activity. A simple sir,

1771
01:44:18,840 --> 01:44:21,000
Speaker 1: we're going to search your vehicle since you were randomly selected,

1772
01:44:21,000 --> 01:44:23,200
Speaker 1: would have made things a lot better. Instead of telling

1773
01:44:23,200 --> 01:44:24,720
Speaker 1: me to sit down and wait until I was told

1774
01:44:24,720 --> 01:44:27,760
Speaker 1: they were ready to talk to me, CBP agents all

1775
01:44:27,800 --> 01:44:30,240
Speaker 1: had bad attitudes, and I nearly expressed my true thoughts

1776
01:44:30,240 --> 01:44:32,720
Speaker 1: on the situation. I travel a lot. I know there's

1777
01:44:32,760 --> 01:44:34,400
Speaker 1: nothing to gain by saying anything to an agent in

1778
01:44:34,439 --> 01:44:36,960
Speaker 1: the US government except to answer their direct questions with

1779
01:44:37,000 --> 01:44:39,559
Speaker 1: as few details as possible. Everything you do and will

1780
01:44:39,840 --> 01:44:42,400
Speaker 1: say will always be held against you. Well, Scott, I'm

1781
01:44:42,439 --> 01:44:46,280
Speaker 1: sorry you had that interaction with CBP. I gotta tell you,

1782
01:44:46,280 --> 01:44:49,880
Speaker 1: I'm not surprised. CBP folks, they've got a tough job,

1783
01:44:49,920 --> 01:44:52,920
Speaker 1: and you know they are trying to stop people from

1784
01:44:52,920 --> 01:44:56,639
Speaker 1: doing illegal stuff, particularly drug trafficking, but other illegal stuff too,

1785
01:44:57,200 --> 01:45:00,000
Speaker 1: and so they're not going to be particularly warm and fuzzy. Usually,

1786
01:45:00,640 --> 01:45:02,719
Speaker 1: I will say I've had plenty of people in CBP

1787
01:45:02,800 --> 01:45:06,000
Speaker 1: when I've returned into the into the country though, say something.

1788
01:45:06,080 --> 01:45:07,559
Speaker 1: You know, once they've cleared and they know I'm a

1789
01:45:07,560 --> 01:45:09,360
Speaker 1: good guy, that they'll say like, you know, welcome home

1790
01:45:09,439 --> 01:45:11,439
Speaker 1: or something. You know, so they some of them make

1791
01:45:11,479 --> 01:45:14,120
Speaker 1: an effort, but some of them don't. Look, it's a

1792
01:45:14,160 --> 01:45:18,320
Speaker 1: federal government job. It's it's not glorious work all the time,

1793
01:45:18,600 --> 01:45:20,880
Speaker 1: and you know people will tend not to be that

1794
01:45:21,040 --> 01:45:23,360
Speaker 1: nice as CBP. They all just want to get through it,

1795
01:45:23,400 --> 01:45:25,760
Speaker 1: and you know, it's not fun. It's really not fun

1796
01:45:25,800 --> 01:45:29,320
Speaker 1: for anyone. It's just necessary. They have a lot of

1797
01:45:29,320 --> 01:45:32,080
Speaker 1: power though, so you're smart to not when you're when

1798
01:45:32,080 --> 01:45:34,920
Speaker 1: you're at that border crossing, you're in CBP's world. You

1799
01:45:34,960 --> 01:45:39,240
Speaker 1: want to be very respectful and truthful and just help

1800
01:45:39,280 --> 01:45:41,280
Speaker 1: them get their job done and you'll get out of

1801
01:45:41,280 --> 01:45:44,320
Speaker 1: there in a reasonable reasonable order. You start getting mouthy

1802
01:45:44,400 --> 01:45:47,360
Speaker 1: with CBP, it's not gonna be a good day. I've

1803
01:45:47,360 --> 01:45:50,400
Speaker 1: seen it happen. I've seen it happen a hundred times,

1804
01:45:50,439 --> 01:45:52,960
Speaker 1: not a hundred times, probably once or twice, but I've

1805
01:45:52,960 --> 01:45:55,240
Speaker 1: seen it happen. All right, Team that's gonna be the

1806
01:45:55,280 --> 01:45:57,000
Speaker 1: show for today. Shields High