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Speaker 1: Hey, everybody, welcome to the new edition of the Buck

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Speaker 1: Sexton Show. We're gonna be doing long form conversations, sit downs,

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Speaker 1: hanging out with people, having fireside chats. Although there's no

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Speaker 1: fireplace in here because I'm in Miami. There's not a

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Speaker 1: lot of fireplaces in Miami in general. But we are

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Speaker 1: joined by a fantastic first guest, and Coulter. She has

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Speaker 1: written thirteen New York Times bestsellers, including a number of

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Speaker 1: number one best sellers. You know her from well all

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Speaker 1: of her appearances on TV, from her fierce Twitter game,

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Speaker 1: and of course because she is the one and only

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Speaker 1: end Coulter. Miss Coulter, thank you for being with us.

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Speaker 1: Appreciate you and sub sac that's how you know me.

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Speaker 1: Oh now, how does every subscribe to your substack? And well,

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Speaker 1: thank you for asking Buck Sexton and Coulter dot subsack

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Speaker 1: dot com. That's that's the only place you can get

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Speaker 1: a Culter unfiltered no ads. Well, maybe here tonight with you, Buck,

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Speaker 1: there we go fantastic Yes, so, and tell me some

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Speaker 1: things here first and foremost, what is top of mind

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Speaker 1: for you in the country right now? If you could

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Speaker 1: fix let's start with that and fix one thing for

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Speaker 1: me in America, what would it be? We need a

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Speaker 1: big beautiful wall. I was promised a big beautiful wall.

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Speaker 1: But I mean, seriously, there's a reason. That's what carried

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Speaker 1: this buffoon, Donald Trump to president in two thousand sixteen.

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Speaker 1: Whether or not the talking heads appreciated or the New

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Speaker 1: York Times appreciate it, Americans voted for the big beautiful wall,

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Speaker 1: and we're seeing under Biden the problem with him not

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Speaker 1: having built that wall. Estimates are I mean, they've caught

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Speaker 1: and released more than two million illegals. The estimates go

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Speaker 1: up to five million only since Biden has been president.

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Speaker 1: And I mean there are a lot of reasons not

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Speaker 1: to like that with it's going to be suppressing, hurting

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Speaker 1: the least among us those low wage workers who actually,

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Speaker 1: surprisingly I will admit, did pretty well under Trump. Why

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Speaker 1: because you know, with these temporary measures and a lot

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Speaker 1: of it was just his rhetoric. He's scared off illegals

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Speaker 1: from trying to come based on the campaign, and then

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Speaker 1: after you know, he was in office for about a year,

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Speaker 1: they realized he's not doing anything. We go, let's go back.

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Speaker 1: But for the there's cultural reasons to care about this.

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Speaker 1: We are the greatest country in the world and we

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Speaker 1: do have. So can I ask you this in because

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Speaker 1: you've been you were the original on the argument here

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Speaker 1: for well, first I mean first secure border that involved

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Speaker 1: a wall, and in fact, Trump I believe early on

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Speaker 1: was even telling people that he read Audios America, your

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Speaker 1: book and that this is where the idea for this

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Speaker 1: largely largely came from. So I've been down to the

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Speaker 1: border a bunch of times, no question, and I love

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Speaker 1: this argument with libs. I've had it with them and

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Speaker 1: they always get very, very frustrated. A wall helps and

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Speaker 1: if you talk to border patrol, they'll say it absolutely

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Speaker 1: is helpful because even in areas where the wall doesn't exist,

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Speaker 1: there's fewer sorry, they can have fewer resources. Is where

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Speaker 1: they have no you know, where they have a wall

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Speaker 1: versus where they have no wall, right, so they can

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Speaker 1: kind of focus in on the high traffic areas of drugs.

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Speaker 1: A high traffic problem though we got even if we

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Speaker 1: had a wall, they are surrendering. This is what's going.

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Speaker 1: So I want to know how we deal with that

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Speaker 1: issue because people are showing up. The wall stops the

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Speaker 1: drug traffickers, the single male migrants when I say, stops,

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Speaker 1: you know, makes it harder for them, right, and makes

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Speaker 1: border patrol's job easier. But you have family units that

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Speaker 1: show up to the border wall or anywhere and essentially

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Speaker 1: walk in and they say, hey, here, I am right.

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Speaker 1: So and even in a wall situation, they go to

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Speaker 1: a port of entry, they go to areas where you know,

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Speaker 1: the wall isn't that big, they go over it. And

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Speaker 1: now they say, I want asylum in your country. So

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Speaker 1: what do we do about that? Well, we invent a

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Speaker 1: time machine. We go back and make keeper's promises. Two

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Speaker 1: things about what you just said. Yeah, of course they're

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Speaker 1: they're going to be some entry points, but we want

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Speaker 1: a big wall across the entire border, not the thirty

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Speaker 1: three miles that Trump built. I do not think that

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Speaker 1: if he had kept his promise, Biden would have come in,

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Speaker 1: And what a Biden wouldn't have come in. Trump would

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Speaker 1: have won reelection if he had kept his promises. But moreover,

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Speaker 1: even if even if a Democrat didn't come in, they're

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Speaker 1: not going to rip down a wall. It took, you know,

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Speaker 1: like the Great Chinese Wall or the Great Wall of China.

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Speaker 1: That's why we want a wall, because different administrations are

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Speaker 1: going to have different policies and as long as the

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Speaker 1: border is open, and it's just a matter of well,

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Speaker 1: does the president want to protect American jobs or doesn't

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Speaker 1: he want to protect American jobs? And part of what

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Speaker 1: the Democrats just hauling the millions upon millions of illegals,

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Speaker 1: in part of it is just a response to Trump.

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Speaker 1: We were always worried about that that he can, on

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Speaker 1: one hand, even back down, but he was so borish

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Speaker 1: about making the points from Adios America and I don't

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Speaker 1: need exactly make in a Marquis to Queensberry's way, but

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Speaker 1: he took it to another level, that whole Mexican rapist thing.

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Speaker 1: Oh it's in my book, but um I would have

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Speaker 1: phrased it slightly differently as I did. And the reaction

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Speaker 1: to Trump was was so the concern was he could

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Speaker 1: end up making it worse and destroying these issues that

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Speaker 1: a lot of people like but lots of others have

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Speaker 1: been working on for years and caring about the American

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Speaker 1: people here about and I think we've seen that with

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Speaker 1: the whole Democratic Party. If Trump was for it, we

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Speaker 1: are against what Biden is doing at the border. Obama

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Speaker 1: would never have done this isn't open. This is an

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Speaker 1: open border. I mean, right, if we're being honest about it,

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Speaker 1: they're doing everything they can to make sure as many

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Speaker 1: people as possible can stay at this point, and there's

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Speaker 1: no interior enforcement. I mean, it has been funny. I'm

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Speaker 1: sure you've seen the clips. These are real clips. We're

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Speaker 1: not This is not a joke in the sense that

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Speaker 1: we're making this up. There are migrants who show up

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Speaker 1: and they say, I'm here because of Joe Biden. Right,

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Speaker 1: they mean they're they're showing up and they're straight up saying,

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Speaker 1: oh no, the cartels have told me this is a

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Speaker 1: great time to get here because of Joe Biden. Yes,

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Speaker 1: and two other things. I was going to mention, in

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Speaker 1: addition to changing the culture and really being very harmful

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Speaker 1: to low wage workers, perhaps we should care about low

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Speaker 1: wage workers. The other reason the Democrats I am a

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Speaker 1: reaction Trump. The other reason the Democrats want this is

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Speaker 1: manifestly because they want Third worlders to become US citizens

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Speaker 1: and start voting. And what effects will that have? Oh,

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Speaker 1: Republicans keep telling me that Hispanics they're natural Republicans, natural Republicans. Well,

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Speaker 1: oh my gosh, what happened to California. I had a

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Speaker 1: young kid. I'm starting to a young kid this weekend.

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Speaker 1: He was saying, I just don't understand why Californians vote

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Speaker 1: for Gavin Newsom because it's plurality Hispanic now, and Hispanics

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Speaker 1: may not like the Trands stuff if you ask them.

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Speaker 1: They may not like the abortion stuff, but they want welfare,

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Speaker 1: they want the government aid, and they know they're going

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Speaker 1: to get that from the Democrats. So the state that

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Speaker 1: once gave us Richard Nixon and Ronald Reagan, you couldn't

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Speaker 1: get elected dog catcher in California right now. And I mean,

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Speaker 1: it's completely insane the things that Gavin Newsom is doing

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Speaker 1: in California. I kind of hope that the Democrats do

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Speaker 1: move Biden aside. Well, be careful what you wish for, Yeah,

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Speaker 1: but I don't think the rest of the country is

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Speaker 1: ready for Gavin Newsom. Did you see Eric Adams. I

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Speaker 1: always want someone to explain this to me. Eric Adams

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Speaker 1: is the mayor of New York City, and I would

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Speaker 1: I would add not a good one, just in case

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Speaker 1: anyone's wondering we were supposed to be. Oh, he's going

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Speaker 1: to clean up all the streets and the problems that no, no,

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Speaker 1: that that's actually not correct, but anyway, and it's really

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Speaker 1: I think because a lot of entrenched interests from the

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Speaker 1: Democrat machine in the City of New York are just

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Speaker 1: no longer. If people knew what's really going on in

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Speaker 1: the District Attorney's office and the woke lunatics who are

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Speaker 1: the rank and file in places like that, now, they

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Speaker 1: would they would flee for places where you could go,

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Speaker 1: you know, off grid and and you know, made sure

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Speaker 1: that they had acts as to their own fresh drinking water.

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Speaker 1: But he went to the southern border, and I think

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Speaker 1: it's fascinating because he's there and migrants that he met

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Speaker 1: with said, oh, we hear you take great care of

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Speaker 1: us in New York, so we want to go to

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Speaker 1: New York. So you're an El Paso, you're an illegal migrant.

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Speaker 1: You're saying, well, I want to go to New York City. Meanwhile,

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Speaker 1: New York City's mayor is also telling everybody, we can't

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Speaker 1: afford the illegal migrants anymore. The city of Viewer can't

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Speaker 1: afford them. Now. I just think this is so interesting

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Speaker 1: because I thought we weren't allowed to say that they

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Speaker 1: were a drain on public resources. Well, when did we

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Speaker 1: just step to When did we skip to all of

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Speaker 1: a sudden, legal migrants are really expensive? Right? No? And

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Speaker 1: I mean it does. I think it ought to remind

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Speaker 1: people what a total hero and genius the governor of

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Speaker 1: Florida is, Ron de Santos. That Martha's vineyard stunt was

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Speaker 1: the most brilliant political stunt. That's what liberal media calls it, stunt,

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Speaker 1: the most brilliant political stunt of my lifetime. Now you

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Speaker 1: have the very very very progressive gay governor of Colorado

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Speaker 1: doing the exact same thing. He's sending his illegals to

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Speaker 1: New York. And suddenly these liberal states that in this

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Speaker 1: home we believe, suddenly they get they get a look

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Speaker 1: at what it's like having the Third World dumped in

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Speaker 1: their towns and cities and schools and hospitals, and not

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Speaker 1: so himp to it. Now, one other thing I wanted

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Speaker 1: to mention before the moment passes. Obviously, I love our

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Speaker 1: borders security guards. They're the last people you want to

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Speaker 1: check with on what's needed at the border. This used

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Speaker 1: to drive me crazy when Trump would do it. Well,

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Speaker 1: I've talked to them, and you see it's very important.

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Speaker 1: They want a wall they can see through. No, you

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Speaker 1: don't check with the people whose job will be made

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Speaker 1: obsolete by a big, beautiful wall. No, no, no no, we

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Speaker 1: can have breaks in it here. It'll just be easier

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Speaker 1: for us here. And look, I love them, but everyone

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Speaker 1: is like this. You don't want something that's going to

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Speaker 1: replace your job. You don't want. I mean you've probably

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Speaker 1: seen but and I mean even i I've still even

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Speaker 1: donald even the double fence for example. People people do

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Speaker 1: so so the border patrol guys, when when I've spoken

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Speaker 1: them about I've seen illegals crossing. I've seen the whole

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Speaker 1: thing happen in real time. It's not hard because it's

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Speaker 1: happening constantly, thousands and thousands of people a day, and

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Speaker 1: because of the fence, they're slowed down. But there's always

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Speaker 1: gonna be ways to get through. I mean, so I'm

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Speaker 1: saying you're gonna need you need border patrol even with

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Speaker 1: the wall, right, Like if you have a if you

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Speaker 1: have a moat and a high wall at your castle,

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Speaker 1: you'll still need knights to defend the castle. Otherwise, you know,

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Speaker 1: there's no such thing as a wall that's going to

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Speaker 1: do the job entirely for it, saying they will be

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Speaker 1: completely gone. But that's not that they are not experts

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Speaker 1: on how to keep people out of your country. You

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Speaker 1: know who are experts. Israel is an expert. Check with

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Speaker 1: them on their wall. The first year they put it

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Speaker 1: up illegal immigration one down by I believe ninety percent.

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Speaker 1: Um it may be more than ninety percent. That wasn't

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Speaker 1: good enough for Israel. So their wall goes deep, deep,

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Speaker 1: deep into the ground. Yes, they still have security guards

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Speaker 1: and by the way, they have detention cells. I mean

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Speaker 1: they have military. It's a military I've been to that

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Speaker 1: border wall. It's a militarized border full on. Yep. Well

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Speaker 1: maybe we should have them running our border checks. Put

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Speaker 1: the saudiast by the way, are building a big fence

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Speaker 1: too along quite militarized, I'm sure, along with the YEMENI

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Speaker 1: So not the first time or the last time these

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Speaker 1: sorts of things have been happening. There's a big one

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Speaker 1: that I know of in China. There's a pretty famous

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Speaker 1: one in the northern England as well. So you know, walls,

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Speaker 1: walls do work. It has been a thing for a

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Speaker 1: asked you about we went right into the border wound

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Speaker 1: immigration and I think we could also just what was that?

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Speaker 1: I was just saying, I've won my pillow and I

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Speaker 1: There's the reason why so many people sleep so soundly

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Speaker 1: the little um like the little slippers. The slippers are great,

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Speaker 1: although less need for them in Miami these days than

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Speaker 1: I had in New York, right because you know, feet

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Speaker 1: are a little bit less cold, but I still love them. So,

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Speaker 1: you know how, there's this big thing about the speaker

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Speaker 1: of the house. I want I want to ask you something.

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Speaker 1: You you know how these things there was all this bruha, However,

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Speaker 1: who the Speaker of the House is going to be.

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Speaker 1: There's a part of me that was amazed at what

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Speaker 1: seemed like people caring so much about this. And I

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Speaker 1: kept trying to generally tell everybody, doesn't affect your life

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Speaker 1: at all. Is there a way we can start to

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Speaker 1: tell people things like, hey, there are things to be

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Speaker 1: fired up about, Like I think people should be much

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Speaker 1: more fired up about, how, you know, fentonyl not to

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Speaker 1: go back to the border thing, but fentanyl is a

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Speaker 1: drug scourge that is far worse than anything we've ever

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Speaker 1: seen in this country, and yet it's like not something

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Speaker 1: that's focused on the news. Meanwhile, the news focused on

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Speaker 1: the Speaker of the House issue with McCart like, what

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Speaker 1: do you make of all that? Did you did you care?

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Speaker 1: Does it matter? Will it matter? My advice is cut

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Speaker 1: the cord, don't watch cable. Think we're the only ones care.

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Speaker 1: I generally have MSNBC on in the background just so

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Speaker 1: I can monitor the enemy. But it's been pretty much

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Speaker 1: January six. Oh there's and there was UK Crane for

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Speaker 1: a while, and there's been one exciting new story that

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Speaker 1: representative of Santos isn't George Santos. You know, they're covering

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Speaker 1: that like January six and for the for the speaker vote.

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Speaker 1: But then you would, you'd you'd go out on the

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Speaker 1: street and talk to normal people, and no one, absolutely

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Speaker 1: no one cared. Now as a political you know, nut

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Speaker 1: as we are, and probably a lot of a lot

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Speaker 1: of your listeners and my readers are. I actually think

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Speaker 1: it was a great thing. I think they got a

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Speaker 1: lot of good concessions out of McCarthy. I think they're

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Speaker 1: a lot of great Republicans. There are a few things

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Speaker 1: that were stupid about it, but by and large, I mean,

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Speaker 1: we ended up avoiding having Dan Crenshaw as head of

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Speaker 1: Homeland Committee in the House, that's a good thing right there,

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Speaker 1: And it's sort of it's always good to scare Republican politicians,

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Speaker 1: especially Republican politicians who have been there for a while,

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Speaker 1: the ones who would like to go establishment, listen to

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Speaker 1: the donors give them a good scare every once in

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Speaker 1: a while. Yeah, brush back pitch. I think I've learned

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Speaker 1: a lot of sports from Clay by the way we

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Speaker 1: talk about these things now, you know, I'm sort of like, yeah,

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Speaker 1: that's a that's I can't even think of anything off

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Speaker 1: top ahead now, but that's a sports thing that people

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Speaker 1: get excited about. A brushback pitch. That's one that I

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Speaker 1: know now, which I think is important for some Republicans,

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Speaker 1: especially of the more establishment variety. What happened in your

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Speaker 1: mind in the midterm election? What was the issue? Because

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Speaker 1: I've started to see now finally I think people recognizing

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Speaker 1: that there were some big problems. I know it was

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Speaker 1: a few months ago, but I think I got a

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Speaker 1: bit of your analysis. I wanted to hear a little

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Speaker 1: more of what you think went down. Well. I think

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Speaker 1: too many people in the Republican Party, conservative media donors.

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Speaker 1: I think, as I've been trying to advise them, they've

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Speaker 1: just been too afraid of Trump and they were too

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Speaker 1: wedded to Trump. We have to run a candidate who

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Speaker 1: was sucking up to Trump. We have to well, he's

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Speaker 1: saying you have to make the number one issue of

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Speaker 1: the twenty twenty election, and he's a paper tiger. They

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Speaker 1: shouldn't have done that. Republicans who were not wedded and

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Speaker 1: beholden to Trump, I think did reasonably well. I mean

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Speaker 1: Blake Masters when I saw his debate with Mark Kelly

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Speaker 1: that was in Arizona, the astronaut incumbent Democrat running against

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Speaker 1: this Blake Masters backed heavily by Silicon Valley's Peter Teel.

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Speaker 1: When I saw that debate, I thought, oh my gosh,

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Speaker 1: Blake Masters is the smartest guy perhaps who has ever

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Speaker 1: run for the United States Center. He was so good,

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Speaker 1: so good. And then two days before the election, it's

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Speaker 1: all over the Internet and Fox News Blake getting a

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Speaker 1: call from Donald's Trump and acting like he's a teenage

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Speaker 1: girl talking to Justin Bieber. He's calling me, He's calling me,

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Speaker 1: and what is Trump haranguing him about? You're not making

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Speaker 1: twenty twenty then number one election? When Trump showed up

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Speaker 1: in Ohio, and I love JD. Vans and he showed

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Speaker 1: up in Ohio, I don't know. The day before the election,

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Speaker 1: I emailed people working for JD. Vance saying, if I

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Speaker 1: lived in Ohio, I would vote against JD. Vans just

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Speaker 1: because of this speech. This is just get away from him.

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Speaker 1: He won the nomination. Run on your own two feet,

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Speaker 1: and so obviously that I'm not alone in that analysis

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Speaker 1: the Trump Act candidates and the ones that ended up

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Speaker 1: winning nominations because people were afraid, Oh, but what if

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Speaker 1: we don't get the Trump voters? What if we don't

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Speaker 1: get the Trump voters? And the other issue. So Trump

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Speaker 1: was a total disaster for the mid terms, and I

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Speaker 1: think luckily people have seen that now, so it won't

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Speaker 1: we hopefully won't have the same thing happened in presidential

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Speaker 1: Asia and the other one. You know. I've been pro

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Speaker 1: life pretty much my whole life. I've written articles on

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Speaker 1: it in the Human Life Review back when I was

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Speaker 1: practicing law. I've had debates on it at Ivy League campuses.

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Speaker 1: I am pro life. I think it was stupid for

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Speaker 1: some of these states. I mean the most one of

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Speaker 1: the most important things is getting rid of the monstrosity

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Speaker 1: of Roe v. Wade and the idea that this really

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Speaker 1: terrible thing and abortion is a constitutional but that's what

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Speaker 1: our framers were thinking of. Okay, so yea, we won

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Speaker 1: pop Champagne. It goes back to the states, and I

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Speaker 1: think most of the states again I will credit run

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Speaker 1: to Santas and Florida and a lot of states did this.

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Speaker 1: Republicans just jumped in and said abortions for the first

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Speaker 1: it would vary twelve weeks, seven weeks, fifteen weeks, sixteen weeks,

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Speaker 1: and that's it. And that's it. And that seems after

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Speaker 1: looking at the internal election, that seems to be the

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Speaker 1: consensus position. And I don't think it's hypocritical for pro

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Speaker 1: lifers or Republicans to take that position. You can say

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Speaker 1: I would never have an abortion. I would counsel anyone

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Speaker 1: in my family or anyone anyone I could talk to

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Speaker 1: don't have an abortion. But you're talking about a law

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Speaker 1: that probably would would. I mean, it's hard to say

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Speaker 1: this is a human life and this isn't a crime.

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Speaker 1: There's got to be a penalty. There's got to be

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Speaker 1: a fine. There could be as one of Trump's candidates

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Speaker 1: was a murder charge for the woman. I mean, there's

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Speaker 1: got to be something, and I think people who are

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Speaker 1: even pro life are saying, I don't want the law

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Speaker 1: to say that though I wouldn't have an abortion, and

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Speaker 1: I do think this is a human life and Republicans

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Speaker 1: have got to stop doing I mean some of these

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Speaker 1: states and some of the bills, no, it's a life

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Speaker 1: from the moment of conception, and will prosecute the woman

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Speaker 1: for for murder. I mean it becomes sometimes Republicans. We

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Speaker 1: saw this lot with the Tea Party, and I think

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Speaker 1: we saw it too much of it in the mid terms.

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Speaker 1: And that is this idea, I mean, this Todd Aiken

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Speaker 1: thing of you know, watch this, I'm gonna I'm gonna

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Speaker 1: make the basket from over my shoulder. No, don't show

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Speaker 1: off to the zealots. We're trying to save a country here.

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Speaker 1: Who could save the country. I mean we were just

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Speaker 1: talking a second ago about obviously Trump, which just so

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Speaker 1: you know, whenever you do you get I get all

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Speaker 1: the emails that are angry. I'm like, I'm not an's keeper,

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Speaker 1: Like I don't know what to tell peof I'm not

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Speaker 1: in charge of the culture flame. You know, it's amazing

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Speaker 1: to be because if you have complaints, I just I

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Speaker 1: want your viewers to know Buck Sexton is my keeper.

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Speaker 1: If you have complaints, email Buck. I mean they do,

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Speaker 1: They're like, how dare you have that? Well? But I'm like,

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Speaker 1: first of all, like, if we're gonna talk about people's credentials, uh,

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Speaker 1: and you know and and I know each other personally,

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Speaker 1: people's credentials in the the conservative movement, there has to be

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Speaker 1: a level at which one's conservatism is not a thing

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Speaker 1: that we're going to really sort of question anymore based

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Speaker 1: on a political candidate or whatever. I would think that

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Speaker 1: we could get there at some point because people are like,

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Speaker 1: she's become a she's become a liberal, and I'm like, no, no,

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Speaker 1: she's definitely, definitely hasn't become a liberal. I get those

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Speaker 1: angry emails, but who can Okay, So if it's I

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Speaker 1: don't want to ask you what if it is Trump,

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Speaker 1: because I know you think, and and I have a bet,

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Speaker 1: for full disclosure, you think that there's just no way, like,

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Speaker 1: there's no way it's gonna be Trump this go round.

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Speaker 1: I still think there's a I mean, I think it's

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Speaker 1: a fifty fifty shot that it's gonna be Trump this

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Speaker 1: time around. I think it's gonna be Trump or just Santists.

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Speaker 1: That's my that's my guess. And so I might be

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Speaker 1: in this position where I'm like a Trump than the commies. Right,

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Speaker 1: we could all agree on that, sou because then you

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Speaker 1: to lose in the commies will have eight years to

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Speaker 1: destroy our country instead of for well, I mean, they're

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Speaker 1: they're gonna win one way or the other. I figure, right,

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Speaker 1: I mean, it's it's unfortunate, But I think there's a

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Speaker 1: Democrat beat de Santis. I don't think there is a

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Speaker 1: Democrat who could not beat Trump. I do think that

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Speaker 1: Democrats desperately want to run against Donald Trump. To that end,

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Speaker 1: I have to ask you the theory that's out there

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Speaker 1: right now about the classified documents thing. This is another area,

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Speaker 1: by the way, because you know when I was in

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Speaker 1: the CIA, we were just the classified documents stuff. It's so,

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Speaker 1: I mean, just everything is classified. Like the sandwich that

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Speaker 1: I had, you know, three weeks ago, is classified. Everything

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Speaker 1: is classified. Everything is going to help China defeat us

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Speaker 1: in the nuclear war that's coming. It's really it gets

426
00:21:51,840 --> 00:21:55,120
Speaker 1: a little bit crazy that all said this theory that

427
00:21:55,280 --> 00:21:59,000
Speaker 1: they're trying to get rid of Biden with this. I

428
00:21:59,080 --> 00:22:01,240
Speaker 1: think that the simple answer is usually I'm an Okham's

429
00:22:01,320 --> 00:22:03,199
Speaker 1: razor guy. I think the simple answer is usually the

430
00:22:03,240 --> 00:22:06,160
Speaker 1: better answer. I think Joe Biden is a reckless dumbass,

431
00:22:06,320 --> 00:22:09,560
Speaker 1: and that is the situation with the documents. I don't

432
00:22:09,560 --> 00:22:12,320
Speaker 1: think there's some grand conspiracy. Do you think there's a conspiracy?

433
00:22:12,359 --> 00:22:15,399
Speaker 1: I don't know. No, no, No. I think this is

434
00:22:16,040 --> 00:22:20,080
Speaker 1: probably because there are so many actual conspiracies against right wingers.

435
00:22:20,440 --> 00:22:24,240
Speaker 1: I do think Republicans and even friends of mine can

436
00:22:24,280 --> 00:22:28,320
Speaker 1: be a little too conspiracy minded. They may end up

437
00:22:28,320 --> 00:22:33,320
Speaker 1: shiving Biden. It could happen, and you're gonna know what happens.

438
00:22:33,480 --> 00:22:37,439
Speaker 1: It's not gonna be this bank shot with the classified doctors. No.

439
00:22:37,520 --> 00:22:39,480
Speaker 1: I think the only reason they're acting like this, Oh,

440
00:22:39,560 --> 00:22:42,240
Speaker 1: we're taking this very seriously is because they've just done

441
00:22:42,240 --> 00:22:45,240
Speaker 1: it to Trump. And I totally agree with you. I

442
00:22:45,280 --> 00:22:48,000
Speaker 1: didn't think it was a big deal with Trump. Of

443
00:22:48,040 --> 00:22:52,800
Speaker 1: the three cases, Hillary Clinton's hoarding a classified documents and

444
00:22:52,840 --> 00:22:57,639
Speaker 1: having are private emails, Biden ending up with these classified doctors, no,

445
00:22:57,760 --> 00:22:59,960
Speaker 1: we don't know what's in them, and the Trump one,

446
00:23:00,600 --> 00:23:03,920
Speaker 1: I think the only one that was probably pretty serious

447
00:23:04,040 --> 00:23:09,280
Speaker 1: was the Hillary variousness. I think she was hiding what

448
00:23:09,320 --> 00:23:14,280
Speaker 1: she was doing from Obama. But those are those are

449
00:23:14,320 --> 00:23:16,399
Speaker 1: documents that belonged to the American people, and to be

450
00:23:16,440 --> 00:23:20,600
Speaker 1: destroying her email server, no, that is all nefarious. Yeah,

451
00:23:20,640 --> 00:23:23,800
Speaker 1: she was trying to evade FOYA basically because a State

452
00:23:23,840 --> 00:23:27,720
Speaker 1: department personnel have unclassified email and you can send, so

453
00:23:27,760 --> 00:23:30,000
Speaker 1: you can send somebody you know at State dot gov

454
00:23:30,119 --> 00:23:32,959
Speaker 1: or whatever, and all it takes is one one of

455
00:23:33,000 --> 00:23:38,600
Speaker 1: the multi million dollar like Saudi or Chinese or you

456
00:23:38,720 --> 00:23:42,520
Speaker 1: name it donors to the Clinton Global Initiative to be like, hey,

457
00:23:42,520 --> 00:23:44,560
Speaker 1: I wrote you a big check, I demand a meeting.

458
00:23:44,960 --> 00:23:47,359
Speaker 1: Like all it takes is one of those or somebody

459
00:23:47,400 --> 00:23:49,119
Speaker 1: to say the wrong thing, and all of a sudden

460
00:23:49,119 --> 00:23:51,760
Speaker 1: that because they were running a huge influence peddling scam.

461
00:23:51,760 --> 00:23:53,280
Speaker 1: I mean I was. I remember I was at CNN

462
00:23:53,320 --> 00:23:55,679
Speaker 1: in the days when that was all being talked about.

463
00:23:55,800 --> 00:23:59,600
Speaker 1: And for one, they were I mean actually mocking the

464
00:23:59,600 --> 00:24:01,720
Speaker 1: idea there was anything classified in her emails when I

465
00:24:01,720 --> 00:24:03,400
Speaker 1: would talk about that, which was pretty funny, and then

466
00:24:03,400 --> 00:24:06,840
Speaker 1: also mocking the idea that the Clintons had what was

467
00:24:06,880 --> 00:24:08,720
Speaker 1: it they had raised I can't even remember the number

468
00:24:08,720 --> 00:24:11,040
Speaker 1: at this point, but I mean they made a hundred

469
00:24:11,040 --> 00:24:14,760
Speaker 1: million dollars basically giving speeches and ghostwriting books. Nobody, and

470
00:24:15,280 --> 00:24:18,280
Speaker 1: you know this business very well. Nobody makes one hundred

471
00:24:18,280 --> 00:24:21,159
Speaker 1: million dollars in a matter of whatever it was, you know,

472
00:24:21,280 --> 00:24:25,480
Speaker 1: ten years by giving speak giving speeches and getting a

473
00:24:25,520 --> 00:24:27,639
Speaker 1: couple of books ghosts written. That doesn't one hundred million.

474
00:24:27,920 --> 00:24:32,120
Speaker 1: And now that she's not president, I think the donations

475
00:24:32,160 --> 00:24:34,840
Speaker 1: have really gone to kind of a trickle. They shut

476
00:24:34,840 --> 00:24:38,200
Speaker 1: down the Clinton Global Initiative in twenty seventeen and like

477
00:24:38,359 --> 00:24:40,360
Speaker 1: six months, and they didn't even really wait very long

478
00:24:40,400 --> 00:24:42,600
Speaker 1: on it. They kind of went for it right right away.

479
00:24:42,680 --> 00:24:45,760
Speaker 1: So if it is can I ask you this one.

480
00:24:45,760 --> 00:24:49,320
Speaker 1: If it's if it's not Biden, who's the scariest candidate

481
00:24:49,400 --> 00:24:52,600
Speaker 1: that the Republicans could face in terms of obviously being

482
00:24:52,600 --> 00:24:55,160
Speaker 1: able to win. That's a good question. I do think

483
00:24:55,160 --> 00:24:59,240
Speaker 1: the Democrats are in trouble, which is why I'm I

484
00:24:59,520 --> 00:25:02,880
Speaker 1: really hope it's to Scantis, because the country is barely

485
00:25:02,960 --> 00:25:07,680
Speaker 1: hanging on by its fingernails right now, and to Santis

486
00:25:07,760 --> 00:25:13,159
Speaker 1: is certainly, at this point unquestionably our strongest candidate. I

487
00:25:13,200 --> 00:25:16,399
Speaker 1: think the Democrats are really other than I mean, this

488
00:25:16,440 --> 00:25:19,240
Speaker 1: is why they're bringing in all these third worlders to

489
00:25:19,320 --> 00:25:22,399
Speaker 1: vote for them in the years to come. Doesn't matter.

490
00:25:22,400 --> 00:25:25,360
Speaker 1: In California, they'll elect a nut like Gavin Newsom. Get

491
00:25:25,359 --> 00:25:28,400
Speaker 1: ready for that, America. But if there are still enough

492
00:25:29,359 --> 00:25:33,399
Speaker 1: sane people or you know, slash actual Americans voting in

493
00:25:33,440 --> 00:25:37,000
Speaker 1: this country, I think the Democrats are in trouble because

494
00:25:37,000 --> 00:25:41,199
Speaker 1: once they get rid of you know, their senile dementia patients,

495
00:25:41,359 --> 00:25:46,720
Speaker 1: you're getting down pretty quickly to the woke progressive Ilhan Omars,

496
00:25:47,280 --> 00:25:51,600
Speaker 1: who is a respectable Democrat or that could win a primary?

497
00:25:51,680 --> 00:25:54,760
Speaker 1: There are a few, but they couldn't possibly win a

498
00:25:54,800 --> 00:26:00,840
Speaker 1: Democratic primary? What about Junkan, Nicky Haley, Christie Home? Trying

499
00:26:00,840 --> 00:26:03,160
Speaker 1: to think who else has already been talked about, as

500
00:26:03,880 --> 00:26:05,800
Speaker 1: I don't know who else thinks that they'd be running

501
00:26:05,800 --> 00:26:08,040
Speaker 1: on the Republican side. Are any of them in your

502
00:26:08,080 --> 00:26:13,320
Speaker 1: mind serious serious possibilities? No, but you forgot the warmonger

503
00:26:13,400 --> 00:26:16,680
Speaker 1: under Trump Pompeio. I thought you're talking about the guy

504
00:26:16,720 --> 00:26:19,800
Speaker 1: with the mustache Bolton, because he's apparently running. That would

505
00:26:19,840 --> 00:26:22,200
Speaker 1: be fantastic. I do hope they all run, because the

506
00:26:22,320 --> 00:26:24,720
Speaker 1: danger would be as if you had except I really

507
00:26:24,720 --> 00:26:27,160
Speaker 1: think de Santis is kind of standing on his own

508
00:26:27,400 --> 00:26:29,840
Speaker 1: without much competition, But I would like all of the

509
00:26:29,920 --> 00:26:35,720
Speaker 1: warmongery will do nothing about immigration, utterly useless Rhino Republicans.

510
00:26:35,760 --> 00:26:37,480
Speaker 1: I'd love for a lot of them to run. I'd

511
00:26:37,480 --> 00:26:39,280
Speaker 1: love for a lot of them to get stomps down

512
00:26:40,320 --> 00:26:43,600
Speaker 1: on the One Republican, my second favorite Republican in the

513
00:26:43,640 --> 00:26:46,359
Speaker 1: country and the one I would like to santas to

514
00:26:46,440 --> 00:26:49,359
Speaker 1: pic us. His vice president is Glenn Youngcan of Virginia.

515
00:26:49,400 --> 00:26:52,719
Speaker 1: I think he's very good observing him, Yeah, he's been

516
00:26:52,800 --> 00:26:54,280
Speaker 1: very good so far too. Is there anyone else on

517
00:26:54,280 --> 00:26:57,520
Speaker 1: the GOP side, even in Congress, that you you find

518
00:26:57,560 --> 00:27:02,520
Speaker 1: yourself more often than not pleased with and giving giving

519
00:27:02,520 --> 00:27:05,040
Speaker 1: all due kudos too for their work? Is there anyone

520
00:27:05,080 --> 00:27:09,120
Speaker 1: else who sticks out as yes? Yes, well, and one

521
00:27:09,160 --> 00:27:13,320
Speaker 1: more governor. I'll mention Greg Ganforze of Montana's he's been

522
00:27:13,320 --> 00:27:16,560
Speaker 1: on fire. Kudos to him. That there's another governor, I

523
00:27:16,600 --> 00:27:20,040
Speaker 1: forget her name. There's some great senators. Holly is one

524
00:27:20,080 --> 00:27:22,679
Speaker 1: of my is one of my favorites and I and

525
00:27:22,760 --> 00:27:25,760
Speaker 1: I kind of had a prejudice against him because of that.

526
00:27:26,119 --> 00:27:28,720
Speaker 1: I shouldn't even mention it. I love him, but that's silly.

527
00:27:28,840 --> 00:27:32,560
Speaker 1: Raised for salute to the January six protesters. I thought

528
00:27:32,560 --> 00:27:35,879
Speaker 1: he looked really like he looked like David Hogg, and

529
00:27:35,920 --> 00:27:39,240
Speaker 1: so I was sort of against him for about a week.

530
00:27:39,320 --> 00:27:42,400
Speaker 1: But oh my gosh, he's good. And what his objection

531
00:27:42,520 --> 00:27:44,840
Speaker 1: waters was good. You know. One of the things that

532
00:27:45,200 --> 00:27:47,199
Speaker 1: came up one of the things I love about him.

533
00:27:47,240 --> 00:27:49,199
Speaker 1: Whatever you're saying, Oh, why does in Congress do this?

534
00:27:49,200 --> 00:27:52,600
Speaker 1: Why don't the senators do this? You look into it. Oh, yeah,

535
00:27:52,680 --> 00:27:57,480
Speaker 1: somebody's introduced a bill to do that. It's Josh Holly. Look,

536
00:27:57,520 --> 00:28:00,479
Speaker 1: it's Josh Holly again. So there was there was some

537
00:28:00,560 --> 00:28:03,399
Speaker 1: news I guess this week. Ron de Santis has stopped

538
00:28:03,440 --> 00:28:07,480
Speaker 1: a bunch of illegal aliens landing on the shore of Florida,

539
00:28:07,560 --> 00:28:12,360
Speaker 1: and some immigration hawks have said, yeah, he stopped them,

540
00:28:12,359 --> 00:28:16,280
Speaker 1: but he's not deporting them. Well, governors can't deport illegals.

541
00:28:16,480 --> 00:28:20,080
Speaker 1: All they can do is make up really uncomfortable for them.

542
00:28:20,320 --> 00:28:22,840
Speaker 1: All they can do was detain them. All they can

543
00:28:22,840 --> 00:28:26,320
Speaker 1: do is hold up for ice. They can't deport illegals. Guests,

544
00:28:26,320 --> 00:28:29,240
Speaker 1: who was introduced to bill that would allow governors to

545
00:28:29,280 --> 00:28:33,879
Speaker 1: deport illegals? Josh Holly. Interesting. I would just add to

546
00:28:33,960 --> 00:28:38,560
Speaker 1: your point about the Florida illegals arriving situation. The Biden

547
00:28:38,680 --> 00:28:42,479
Speaker 1: White House initially put out some statement or I think

548
00:28:42,520 --> 00:28:44,120
Speaker 1: it was directly from the Biden Wet House like Kree

549
00:28:44,200 --> 00:28:47,440
Speaker 1: Jean Pierre that was criticizing this, that it was like

550
00:28:47,480 --> 00:28:51,160
Speaker 1: showboating that DeSantis was doing until they found out that

551
00:28:51,200 --> 00:28:54,040
Speaker 1: there was actually a request from Ice for the National

552
00:28:54,040 --> 00:28:56,160
Speaker 1: Guard to help, so they were, I mean, sorry for

553
00:28:56,200 --> 00:29:00,360
Speaker 1: the Florida National Guard to assist. So it was like

554
00:29:00,880 --> 00:29:04,440
Speaker 1: he was going above and beyond his mandate. He was

555
00:29:04,440 --> 00:29:07,480
Speaker 1: actually responding to request for assistance. You mentioned Montana, though,

556
00:29:07,480 --> 00:29:08,640
Speaker 1: I have to ask you because I want to. I

557
00:29:08,640 --> 00:29:11,680
Speaker 1: want to get beyond just the usual usual red meat

558
00:29:11,720 --> 00:29:13,800
Speaker 1: of politics with miss Coulter. While we've got her here.

559
00:29:14,360 --> 00:29:16,760
Speaker 1: Do you watch Yellowstone? And what do you think if

560
00:29:16,760 --> 00:29:19,840
Speaker 1: you do? Are you a watcher? I'm I'm sort of

561
00:29:19,880 --> 00:29:23,560
Speaker 1: horrified to admit that I have. I've not seen it yet,

562
00:29:23,600 --> 00:29:26,120
Speaker 1: but that is the show that all my friends keep

563
00:29:26,120 --> 00:29:28,320
Speaker 1: telling me, you gotta watch, you gotta watch, you gotta watch.

564
00:29:28,560 --> 00:29:30,400
Speaker 1: But I think I need to start at the beginning, right,

565
00:29:30,600 --> 00:29:32,520
Speaker 1: I think you have to get past the fact that

566
00:29:32,680 --> 00:29:36,920
Speaker 1: you know, Bozeman is apparently like Baghdad. There's just m

567
00:29:36,960 --> 00:29:39,400
Speaker 1: fors and guys, you know, banging it out on the street,

568
00:29:39,400 --> 00:29:41,720
Speaker 1: corners firing each other all the time. There's a little

569
00:29:41,720 --> 00:29:44,280
Speaker 1: bit of a little bit of Hollywood license taken with

570
00:29:44,320 --> 00:29:47,440
Speaker 1: these ranchers. But but it is super entertaining. I mean,

571
00:29:47,440 --> 00:29:50,360
Speaker 1: it's a it's a huge show. Like seventeen million people

572
00:29:50,400 --> 00:29:53,560
Speaker 1: I think will last watch the fifth season premiere? What do?

573
00:29:53,720 --> 00:29:55,960
Speaker 1: What are you? Is there anything you're watching these days?

574
00:29:56,120 --> 00:29:59,800
Speaker 1: With Carrie? I end up watching um when when it's time,

575
00:30:00,120 --> 00:30:02,760
Speaker 1: when I just wanted to, like, have you know, quiet time?

576
00:30:02,800 --> 00:30:06,000
Speaker 1: If we put on the crown, She's asleep in five minutes.

577
00:30:06,120 --> 00:30:08,440
Speaker 1: But everyone else seems to love that show. I think

578
00:30:08,480 --> 00:30:11,000
Speaker 1: I'd probably be asleep, which is why I haven't started

579
00:30:11,040 --> 00:30:13,320
Speaker 1: to watch it. What do you watch? Are you really

580
00:30:13,360 --> 00:30:15,840
Speaker 1: just watching it? And if you're watching MSNBC, you have

581
00:30:15,920 --> 00:30:19,280
Speaker 1: to give us he is anything on MSNBC worth watching

582
00:30:19,840 --> 00:30:23,760
Speaker 1: other than enjoy read? Who does have a honestly an

583
00:30:23,760 --> 00:30:27,800
Speaker 1: amazing ability, And I said, and it inspires amazement that

584
00:30:27,880 --> 00:30:31,959
Speaker 1: she can turn anything like our conversation about do you

585
00:30:32,000 --> 00:30:35,800
Speaker 1: watch Yellowstone End? Can actually turn into some kind of

586
00:30:36,360 --> 00:30:39,920
Speaker 1: monologue on race and racism in America today. I don't

587
00:30:39,960 --> 00:30:41,960
Speaker 1: know how but she could do it. Oh no, that

588
00:30:42,080 --> 00:30:45,880
Speaker 1: is totally proof of your and my white supremacy. Oh yeah,

589
00:30:46,720 --> 00:30:49,640
Speaker 1: to be fair, I haven't. I can't even I can't

590
00:30:49,680 --> 00:30:52,760
Speaker 1: watch MSNBC anymore. I can get a show from two

591
00:30:52,840 --> 00:30:57,640
Speaker 1: years ago, show it to you, and one from last night,

592
00:30:57,760 --> 00:31:00,640
Speaker 1: and you tell me has two years has passed? In

593
00:31:00,720 --> 00:31:03,840
Speaker 1: the interrum between these two shows, they all say the

594
00:31:03,880 --> 00:31:06,960
Speaker 1: exact same thing, And I mean, well, there are exciting

595
00:31:07,000 --> 00:31:09,320
Speaker 1: moments like I don't know if you knew this book,

596
00:31:09,520 --> 00:31:12,280
Speaker 1: but do you know how close we came to losing

597
00:31:12,360 --> 00:31:17,120
Speaker 1: our democracy? It's amazing there was an insurrection of unarmed

598
00:31:17,120 --> 00:31:21,920
Speaker 1: people who didn't actually engage with any kind of military

599
00:31:21,960 --> 00:31:24,760
Speaker 1: force or precision. It's kind of weird because I've actually

600
00:31:24,800 --> 00:31:27,840
Speaker 1: been exposed to what a country looks like when people

601
00:31:28,800 --> 00:31:32,240
Speaker 1: do try to overthrow the government, or when there is

602
00:31:32,280 --> 00:31:36,120
Speaker 1: an active civil war of some kind going on, sectarian warfare,

603
00:31:36,520 --> 00:31:40,320
Speaker 1: and it's very different from QAnon Shaman and a bunch

604
00:31:40,360 --> 00:31:45,080
Speaker 1: of other largely middle aged folks walking around calmly and

605
00:31:45,160 --> 00:31:48,480
Speaker 1: taking photos. Now martially that it is okay. I've condemned

606
00:31:48,520 --> 00:31:50,800
Speaker 1: it from the beginning. I condemned it for many reasons.

607
00:31:50,800 --> 00:31:53,120
Speaker 1: One of them was I was like, this is very

608
00:31:53,160 --> 00:31:57,560
Speaker 1: stupid because it is handing the Democrats their favorite thing

609
00:31:57,600 --> 00:31:59,320
Speaker 1: in the world, which is something that they can get

610
00:31:59,360 --> 00:32:02,120
Speaker 1: the left wing all hysterical about for the next twenty years,

611
00:32:02,200 --> 00:32:04,880
Speaker 1: and this is but they've said it's worse than Pearl Harbor.

612
00:32:04,960 --> 00:32:07,160
Speaker 1: They've said if there are prominent Democrats who have said

613
00:32:07,160 --> 00:32:10,440
Speaker 1: it is worse than than nine to eleven. And I

614
00:32:10,480 --> 00:32:12,800
Speaker 1: wonder if we've if we've just reached it not even

615
00:32:12,800 --> 00:32:16,280
Speaker 1: fun anymore, It's not fun. Well, you know, I think

616
00:32:16,280 --> 00:32:18,800
Speaker 1: there's this concept of terminal velocity, right when you jump

617
00:32:18,800 --> 00:32:20,360
Speaker 1: out of a plane or something and you hit like

618
00:32:20,400 --> 00:32:23,719
Speaker 1: the absolute max speed and then that's just that's just

619
00:32:23,760 --> 00:32:25,080
Speaker 1: the speed you're going the rest of the way. I

620
00:32:25,080 --> 00:32:26,840
Speaker 1: think that's what terminal velocity is. I might it was

621
00:32:26,880 --> 00:32:29,160
Speaker 1: like a bad Charlie Sheen movie or one of those guys.

622
00:32:29,720 --> 00:32:33,640
Speaker 1: Um have we hit like terminal stupidity over at MSNBC,

623
00:32:33,800 --> 00:32:38,080
Speaker 1: Like it can't get any dumber or any crazier, Mostly

624
00:32:38,160 --> 00:32:41,360
Speaker 1: for me, I mean dumb and crazy. I love that.

625
00:32:41,880 --> 00:32:46,120
Speaker 1: Um No, it's it's the painful repetition. I can't there's

626
00:32:46,160 --> 00:32:48,760
Speaker 1: a lot I can't listen to the same thing all

627
00:32:48,760 --> 00:32:50,760
Speaker 1: the time, so even I have not really been watched

628
00:32:50,760 --> 00:32:53,000
Speaker 1: what happened because you used to get to go on

629
00:32:53,720 --> 00:32:56,640
Speaker 1: and you and and and others and you know me too,

630
00:32:56,720 --> 00:32:59,840
Speaker 1: back back when this was a thing to debate people

631
00:33:00,280 --> 00:33:02,520
Speaker 1: on the other side. Have you noticed when did this

632
00:33:02,560 --> 00:33:05,560
Speaker 1: happen where all of a sudden, no one Now there's

633
00:33:05,560 --> 00:33:08,280
Speaker 1: no looney left wingers who will go on and have

634
00:33:08,360 --> 00:33:10,360
Speaker 1: a real like throw it out. I mean, I'm trying

635
00:33:10,360 --> 00:33:12,520
Speaker 1: to think, who are some of the like didn't you

636
00:33:12,600 --> 00:33:14,560
Speaker 1: and did you? And al Sharpe that ever debate? I

637
00:33:14,600 --> 00:33:19,760
Speaker 1: know you and probably the time rightly changed. This was

638
00:33:19,840 --> 00:33:23,320
Speaker 1: the introduction I wrote to my sub stack. I mean

639
00:33:23,400 --> 00:33:25,840
Speaker 1: all of cable news. I'm sorry. You can't just hold

640
00:33:26,400 --> 00:33:30,280
Speaker 1: MSNBC as as the only offender here. It has become

641
00:33:30,400 --> 00:33:34,560
Speaker 1: more just saying the things they think the audience wants

642
00:33:34,600 --> 00:33:38,640
Speaker 1: to hear, and they apparently think that their audiences don't

643
00:33:38,680 --> 00:33:44,240
Speaker 1: want to hear intelligent commentary or facts or history or no,

644
00:33:44,320 --> 00:33:47,680
Speaker 1: they want to be ginned up, be angry at everything

645
00:33:47,760 --> 00:33:50,720
Speaker 1: the other side is doing, and with no one there

646
00:33:50,760 --> 00:33:54,200
Speaker 1: to contradict them. I mean, this is why the American

647
00:33:54,320 --> 00:33:59,360
Speaker 1: system values debates and free speech. The idea that John

648
00:33:59,400 --> 00:34:02,000
Speaker 1: Stuart Mill idea that the truth will rise in a

649
00:34:02,040 --> 00:34:05,920
Speaker 1: battle for ideas. You want to sense her particular viewpoints, Well,

650
00:34:06,400 --> 00:34:10,120
Speaker 1: cable news has just been an absolute devolution. You have

651
00:34:10,320 --> 00:34:13,480
Speaker 1: learned more by talking to the hot dog. I'm seriously,

652
00:34:13,520 --> 00:34:16,000
Speaker 1: I'm not being sarcastic to a guy selling hot dogs

653
00:34:16,000 --> 00:34:19,799
Speaker 1: on the street. And why is it just considered okay

654
00:34:19,880 --> 00:34:23,080
Speaker 1: that there are politicians. I mean Nancy Pelosi, for example,

655
00:34:23,239 --> 00:34:26,320
Speaker 1: would just would never go on Fox News or any

656
00:34:26,840 --> 00:34:30,959
Speaker 1: channel other than effectively regime media for her. I feel

657
00:34:30,960 --> 00:34:33,600
Speaker 1: like that's something of an indictment, like how hard should

658
00:34:33,640 --> 00:34:36,680
Speaker 1: it be for her to be able to go on? Sure,

659
00:34:36,719 --> 00:34:40,240
Speaker 1: she'll she'll get heat. I remember being told by somebody

660
00:34:40,280 --> 00:34:43,120
Speaker 1: who was I forget which Fox show it was, and

661
00:34:43,160 --> 00:34:45,400
Speaker 1: this is back in the day, but one of these,

662
00:34:46,200 --> 00:34:48,400
Speaker 1: one of these really kind of radical I think it

663
00:34:48,440 --> 00:34:50,600
Speaker 1: was Gosh came with the guy's name. What are these

664
00:34:50,600 --> 00:34:53,879
Speaker 1: sort of more radical Islamists from the UK would go on?

665
00:34:54,040 --> 00:34:55,640
Speaker 1: It might have been it might have been Handy and

666
00:34:55,640 --> 00:34:57,480
Speaker 1: Combs back in the Handity and Combs days, which you

667
00:34:57,760 --> 00:34:59,640
Speaker 1: know well, and he would say self, you know, it's

668
00:34:59,640 --> 00:35:01,520
Speaker 1: like women should be The guy had a very sort

669
00:35:01,520 --> 00:35:04,560
Speaker 1: of thick British accent. You know, women should be you know,

670
00:35:04,840 --> 00:35:07,719
Speaker 1: treated like you know, servants or slaves or whatever. And

671
00:35:07,800 --> 00:35:10,680
Speaker 1: I mean a very inflammatory stuff. And of course Sean's

672
00:35:10,719 --> 00:35:12,880
Speaker 1: there and he's just like, you know, look at this lunatic.

673
00:35:13,040 --> 00:35:14,800
Speaker 1: This guy should be on a terrorist watch list. The

674
00:35:14,800 --> 00:35:16,719
Speaker 1: whole thing. I remember when I asked hibody said why

675
00:35:16,719 --> 00:35:18,319
Speaker 1: does this guy go on the show, and they said, no,

676
00:35:18,320 --> 00:35:23,000
Speaker 1: you didn't understand. He goes on because his supporters love it,

677
00:35:23,680 --> 00:35:26,320
Speaker 1: even if you should have called all these things that

678
00:35:26,320 --> 00:35:29,000
Speaker 1: you know, he wants somebody who's going he wants to

679
00:35:29,040 --> 00:35:31,319
Speaker 1: go to battle. They want to see him battle, right.

680
00:35:31,360 --> 00:35:33,200
Speaker 1: I mean, that's just a kind of an extreme example

681
00:35:33,200 --> 00:35:35,520
Speaker 1: of it. I feel like nobody wants to battle anymore.

682
00:35:35,600 --> 00:35:39,960
Speaker 1: Everyone just retreats to the amen corner because it's it's easy,

683
00:35:40,040 --> 00:35:43,479
Speaker 1: it's lazy. I think pretty much all cable news house

684
00:35:43,880 --> 00:35:47,120
Speaker 1: on across the board could do their TV shows in

685
00:35:47,160 --> 00:35:49,520
Speaker 1: their sleep saying the same things over and over and

686
00:35:50,000 --> 00:35:52,319
Speaker 1: Biden bad. I mean you could. I think you could

687
00:35:52,320 --> 00:35:55,600
Speaker 1: do it with either network. Switch the facts, don't tell

688
00:35:55,640 --> 00:35:58,880
Speaker 1: them who did one thing, you know, Switch Biden to Trump,

689
00:35:58,920 --> 00:36:01,160
Speaker 1: or Trump to Biden, or just and just Biden, and

690
00:36:01,640 --> 00:36:04,439
Speaker 1: if they think it Biden did at all, that's very very,

691
00:36:04,560 --> 00:36:08,200
Speaker 1: very bad. And they won't as you I am, well,

692
00:36:08,280 --> 00:36:10,920
Speaker 1: for example, as you and I just did saying the

693
00:36:10,960 --> 00:36:14,279
Speaker 1: whole classified document thing is kind of bs oh, I

694
00:36:14,320 --> 00:36:19,399
Speaker 1: mean absolutely, it's it's one of these though. I think

695
00:36:19,400 --> 00:36:22,959
Speaker 1: the problem is there's a almost like an arms race

696
00:36:23,600 --> 00:36:26,360
Speaker 1: among people in the media now in particular to do

697
00:36:26,520 --> 00:36:30,719
Speaker 1: just whatever they think gets the clicks and works, and

698
00:36:30,800 --> 00:36:33,520
Speaker 1: so there's no no one's attached anymore because it's like, well,

699
00:36:33,520 --> 00:36:36,160
Speaker 1: if I don't do it, then somebody else is going

700
00:36:36,200 --> 00:36:38,120
Speaker 1: to do it, and then I just I just lose.

701
00:36:38,160 --> 00:36:40,600
Speaker 1: And I think that's very real, by the way, and

702
00:36:40,640 --> 00:36:42,719
Speaker 1: I think that as there's less and less debate and

703
00:36:42,760 --> 00:36:45,719
Speaker 1: people aren't exposed, I mean, I will say and I

704
00:36:46,200 --> 00:36:49,640
Speaker 1: never attack people on the right publicly. See it's a

705
00:36:49,640 --> 00:36:53,680
Speaker 1: politeness thing. And even I don't attack people on the

706
00:36:53,760 --> 00:36:56,160
Speaker 1: right publicly, you know, just because I don't like them

707
00:36:56,239 --> 00:36:58,040
Speaker 1: or I don't like something they've said. I'll disagree with

708
00:36:58,080 --> 00:36:59,600
Speaker 1: them on things, but I'm not going to say, you know,

709
00:37:00,120 --> 00:37:02,960
Speaker 1: that guy is a jackass. We've got plenty of jackasses

710
00:37:03,000 --> 00:37:05,280
Speaker 1: on the right, some of whom have very substantial audiences.

711
00:37:05,280 --> 00:37:09,120
Speaker 1: I mean people who are not neither learned, nor interesting

712
00:37:09,160 --> 00:37:11,640
Speaker 1: nor particularly good people. When it all comes down to it,

713
00:37:11,880 --> 00:37:13,680
Speaker 1: there are far more on the left. I mean, I

714
00:37:14,400 --> 00:37:16,960
Speaker 1: think that a vast majority I would put in that

715
00:37:17,000 --> 00:37:19,400
Speaker 1: category in the media I'm talking about now. But on

716
00:37:19,440 --> 00:37:22,120
Speaker 1: the right, I think that something is something has kind

717
00:37:22,120 --> 00:37:24,600
Speaker 1: of shifted and happened where you don't have to be

718
00:37:24,680 --> 00:37:27,359
Speaker 1: very knowledgeable, you don't have to be a very honest person,

719
00:37:27,400 --> 00:37:29,120
Speaker 1: you certainly don't have to be a very ethical person,

720
00:37:29,760 --> 00:37:33,360
Speaker 1: and yet you can do very very well. Is that

721
00:37:33,440 --> 00:37:35,560
Speaker 1: a change? Am I just not even thinking that that's

722
00:37:35,560 --> 00:37:38,120
Speaker 1: a change. Maybe I am. I mean I haven't been No,

723
00:37:38,200 --> 00:37:41,799
Speaker 1: it's absolutely a change. It used to be. I think

724
00:37:41,840 --> 00:37:44,040
Speaker 1: TV was fun back then, and I think it was.

725
00:37:44,760 --> 00:37:47,680
Speaker 1: I mean, you mentioned Hannity and Combs. I remember in

726
00:37:47,760 --> 00:37:50,360
Speaker 1: the early days of Hannity and Combs. I mean, obviously,

727
00:37:50,400 --> 00:37:53,040
Speaker 1: I'm a political not I'm really paying attention to what's

728
00:37:53,040 --> 00:37:54,879
Speaker 1: going on in the world. But maybe I was writing

729
00:37:54,920 --> 00:37:56,840
Speaker 1: a book, maybe there was an issue I hadn't followed.

730
00:37:57,000 --> 00:37:59,640
Speaker 1: If I wanted to hear both sides of what they

731
00:37:59,760 --> 00:38:03,200
Speaker 1: r was, I'd turn on Hannity and Combs. It was

732
00:38:03,560 --> 00:38:07,400
Speaker 1: and I'm sure, And I don't mean, though I probably

733
00:38:07,400 --> 00:38:09,719
Speaker 1: would if I thought about it, I don't mean specifically

734
00:38:09,760 --> 00:38:12,799
Speaker 1: to dis CNN and MSNBC from the old days, they

735
00:38:12,800 --> 00:38:16,680
Speaker 1: probably had similar shows on. There was a lot well crossfire.

736
00:38:16,800 --> 00:38:20,359
Speaker 1: I debate is good. That's how you know, Um, if

737
00:38:20,360 --> 00:38:23,239
Speaker 1: it's if it's all just people you know, saying the

738
00:38:23,280 --> 00:38:25,319
Speaker 1: same thing and oh you're so smart. You make me

739
00:38:25,400 --> 00:38:27,920
Speaker 1: smarter every time you come up my program, and oh

740
00:38:28,000 --> 00:38:31,439
Speaker 1: that's amazing, and there's there's no one to say, but wait,

741
00:38:31,520 --> 00:38:34,600
Speaker 1: that fact that was just mentioned isn't actually a fact.

742
00:38:35,160 --> 00:38:38,440
Speaker 1: At CNN, for example, people would say I had this

743
00:38:38,480 --> 00:38:41,080
Speaker 1: concept of I'm going to go into the Lions dead right,

744
00:38:41,160 --> 00:38:43,280
Speaker 1: and I knew by the way that place was always

745
00:38:43,880 --> 00:38:47,600
Speaker 1: hostile to me all the way on down. I mean

746
00:38:47,680 --> 00:38:50,759
Speaker 1: I I had some some friends who are producers over

747
00:38:50,800 --> 00:38:53,120
Speaker 1: there and people that we were decent, but overall just

748
00:38:53,160 --> 00:38:55,680
Speaker 1: the it was institutionally hostile to conservatives. This is now

749
00:38:55,719 --> 00:38:59,600
Speaker 1: twenty fourteen, twenty fifteen in that time period, and but

750
00:38:59,640 --> 00:39:02,359
Speaker 1: I remember I'd go over there and my thinking was, well,

751
00:39:02,360 --> 00:39:04,120
Speaker 1: I don't want to let them get away with this nonsense,

752
00:39:04,160 --> 00:39:05,720
Speaker 1: and like we've got to bring the fight to the enemy.

753
00:39:05,800 --> 00:39:08,080
Speaker 1: But what you figure out when you're there is the

754
00:39:08,080 --> 00:39:11,000
Speaker 1: whole thing is completely rigged. They have the host who

755
00:39:11,080 --> 00:39:15,840
Speaker 1: is some screaming lib and they've got a you know,

756
00:39:15,960 --> 00:39:18,680
Speaker 1: one expert or something who they're going to go to first.

757
00:39:18,680 --> 00:39:20,720
Speaker 1: And then they've got a political pundit who's a Democrat.

758
00:39:20,719 --> 00:39:23,600
Speaker 1: By the way, the expert and the Democrat pundit totally

759
00:39:23,640 --> 00:39:26,080
Speaker 1: agree on everything and are like high fiving each other.

760
00:39:26,400 --> 00:39:29,440
Speaker 1: And you're gonna go last, and you're the conservative and

761
00:39:29,520 --> 00:39:33,000
Speaker 1: it's someone else's show, so you're just there to just

762
00:39:33,120 --> 00:39:35,719
Speaker 1: get punched right in the nose. That's it. You're not there.

763
00:39:35,760 --> 00:39:37,920
Speaker 1: They're not gonna let you speak, They're gonna talk over you.

764
00:39:38,000 --> 00:39:40,000
Speaker 1: I mean, I've had them just basically cut off to

765
00:39:40,040 --> 00:39:42,000
Speaker 1: commercial in the middle of me talking like they don't care.

766
00:39:42,320 --> 00:39:44,719
Speaker 1: So that's why that was part of the descent, and

767
00:39:44,800 --> 00:39:46,920
Speaker 1: now they don't even you know, it's kind of a

768
00:39:46,960 --> 00:39:49,680
Speaker 1: sad thing. Actually, when I see conservatives now at CNN

769
00:39:50,239 --> 00:39:53,600
Speaker 1: who are doing the dance of or I'm a conservative

770
00:39:53,680 --> 00:39:56,000
Speaker 1: or I'm a Republican, but all I do is trash

771
00:39:56,080 --> 00:39:59,640
Speaker 1: the right all the time on TV, I think that's

772
00:39:59,640 --> 00:40:01,479
Speaker 1: a sad thing. Like I think it's like they're making

773
00:40:01,560 --> 00:40:05,960
Speaker 1: hostage videos over there. Oh no, they're being paid well

774
00:40:06,080 --> 00:40:10,480
Speaker 1: for those to be the I'm a Republican speech. I

775
00:40:11,880 --> 00:40:15,320
Speaker 1: just don't think cable news has that much influence anymore.

776
00:40:15,360 --> 00:40:19,080
Speaker 1: I just think it's it's very a circular cocoon, the

777
00:40:19,080 --> 00:40:21,080
Speaker 1: way we used to make fun of, you know, the

778
00:40:21,160 --> 00:40:23,359
Speaker 1: New York Times. I think we're getting the same thing.

779
00:40:23,840 --> 00:40:25,720
Speaker 1: I mean, we're a country of three hundred and twenty

780
00:40:25,719 --> 00:40:29,160
Speaker 1: five million people and on a huge night, you know,

781
00:40:29,239 --> 00:40:32,120
Speaker 1: prime time cable, what they're getting a few million and

782
00:40:32,200 --> 00:40:35,600
Speaker 1: it's mostly an average age. Is what about seventy so

783
00:40:35,680 --> 00:40:38,480
Speaker 1: old people in their nursing homes can't figure out how

784
00:40:38,480 --> 00:40:42,000
Speaker 1: the remote works. But most people are online. And you know,

785
00:40:42,040 --> 00:40:44,520
Speaker 1: I just interviewed on subsack John Tierney from The New

786
00:40:44,560 --> 00:40:49,200
Speaker 1: York Times. Magnificent writer, magnificent outside the box writer. But

787
00:40:49,239 --> 00:40:51,280
Speaker 1: one of the books he wrote, which wasn't the main purpose,

788
00:40:51,320 --> 00:40:53,120
Speaker 1: but I talked to him at the end, is what's

789
00:40:53,160 --> 00:40:56,520
Speaker 1: called The Power of Bad. Very interesting book about how

790
00:40:56,719 --> 00:40:59,480
Speaker 1: when bad things that people remember criticism more than they

791
00:40:59,520 --> 00:41:02,759
Speaker 1: remember praise. A bad first interview was going to hurt

792
00:41:02,800 --> 00:41:07,080
Speaker 1: you more than a fantastic first impression. That sort of

793
00:41:07,080 --> 00:41:09,080
Speaker 1: thing and how you can use it to your benefit.

794
00:41:09,360 --> 00:41:11,840
Speaker 1: But one of the things he mentions in the book

795
00:41:12,120 --> 00:41:16,560
Speaker 1: that I thought was kind of the headline item was that, yes,

796
00:41:16,760 --> 00:41:21,799
Speaker 1: the legacy media very very very negative. For example, their

797
00:41:21,840 --> 00:41:25,320
Speaker 1: COVID coverage. By the way, John Tierney was fantastic on COVID.

798
00:41:25,440 --> 00:41:28,760
Speaker 1: Go back and read his articles in City Journal. He's

799
00:41:28,760 --> 00:41:32,040
Speaker 1: everyone should be reading him, and he get was pointing

800
00:41:32,040 --> 00:41:35,120
Speaker 1: out all along, you're being hysterics. This is the flu.

801
00:41:35,280 --> 00:41:37,800
Speaker 1: This isn't that bad unless you're you're an old person

802
00:41:37,920 --> 00:41:40,439
Speaker 1: or you He was right, he was right, he was right.

803
00:41:40,960 --> 00:41:45,120
Speaker 1: But every night, how many did from COVID. They were

804
00:41:45,400 --> 00:41:48,440
Speaker 1: predicting two million in the next two weeks. Now, what

805
00:41:48,480 --> 00:41:50,520
Speaker 1: he said was, I'm sorry taking a long time to

806
00:41:50,560 --> 00:41:55,759
Speaker 1: go to the main point. Social media, Twitter, Facebook, people online.

807
00:41:56,360 --> 00:42:01,440
Speaker 1: That is positive news. That is where pastivity gets rewarded.

808
00:42:01,680 --> 00:42:04,920
Speaker 1: It's the old media, the legacy media, the cable news,

809
00:42:04,920 --> 00:42:08,319
Speaker 1: where it's just constantly bad news, bad news, badness. All right, Now,

810
00:42:08,320 --> 00:42:10,120
Speaker 1: hold on a second, I've actually got to tell everybody

811
00:42:10,120 --> 00:42:13,680
Speaker 1: about something unrelated to the current discussion. Data breaches happen

812
00:42:14,040 --> 00:42:16,480
Speaker 1: all the time. The big ones get reported on, like

813
00:42:16,480 --> 00:42:18,120
Speaker 1: the one at Twitter that occurred in the second half

814
00:42:18,160 --> 00:42:20,640
Speaker 1: of twenty twenty one. We're just learning the details now

815
00:42:21,040 --> 00:42:23,360
Speaker 1: with news of some two hundred million email addresses stolen,

816
00:42:23,440 --> 00:42:26,359
Speaker 1: no password stolen, no credit card information, but still it's

817
00:42:26,480 --> 00:42:28,520
Speaker 1: enough for cyber thieves to pretend to be you, and

818
00:42:28,560 --> 00:42:31,400
Speaker 1: if your info is included in that data breach, big problems.

819
00:42:31,800 --> 00:42:35,320
Speaker 1: That's why you need LifeLock. LifeLock gives you online identity

820
00:42:35,360 --> 00:42:38,239
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821
00:42:38,239 --> 00:42:41,600
Speaker 1: getting exposed. LifeLock has a twenty four seven watch on

822
00:42:41,600 --> 00:42:44,359
Speaker 1: online transactions and new account openings, and they can help

823
00:42:44,360 --> 00:42:47,400
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824
00:42:47,440 --> 00:42:50,480
Speaker 1: detects and alerts your potential identity threats like loans take

825
00:42:50,520 --> 00:42:52,040
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826
00:42:52,080 --> 00:42:55,000
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830
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831
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836
00:43:18,880 --> 00:43:22,600
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837
00:43:22,640 --> 00:43:25,040
Speaker 1: You want this protection, trust me. I always thought Michael

838
00:43:25,080 --> 00:43:28,359
Speaker 1: Crichton was a really really smart guy, very interesting guy,

839
00:43:28,520 --> 00:43:32,640
Speaker 1: obviously one of the more successful fiction writers of his generation.

840
00:43:33,040 --> 00:43:34,440
Speaker 1: And I remember, I think it was in a Charlie

841
00:43:34,520 --> 00:43:36,840
Speaker 1: Rose interview he said this, and this really stuck stuck

842
00:43:37,520 --> 00:43:40,480
Speaker 1: in my mind that it's not even so much. And

843
00:43:40,560 --> 00:43:43,080
Speaker 1: this was maybe circle let's say two thousand he said this,

844
00:43:43,120 --> 00:43:44,960
Speaker 1: but he said, it's not even that. If you want

845
00:43:44,960 --> 00:43:47,600
Speaker 1: to get attention, you have to be a catastrophist when

846
00:43:47,600 --> 00:43:50,319
Speaker 1: you're talking about anything of substance, Like if you want

847
00:43:50,320 --> 00:43:52,160
Speaker 1: people to pay attention, you have to say, oh my god,

848
00:43:52,480 --> 00:43:55,600
Speaker 1: everything's falling apart, everything is terrible. He said that actually

849
00:43:55,600 --> 00:43:57,799
Speaker 1: the mindset had shifted so that people were mad at you.

850
00:43:57,840 --> 00:43:59,800
Speaker 1: If you don't take that opinion, it's like, what do

851
00:43:59,840 --> 00:44:02,000
Speaker 1: you mean? How can you not? And you certainly see

852
00:44:02,040 --> 00:44:05,480
Speaker 1: this with like the climate change people, and you see

853
00:44:05,520 --> 00:44:07,000
Speaker 1: this with all just a way a lot of people

854
00:44:07,080 --> 00:44:09,240
Speaker 1: try to get attention when when they're talking about the country.

855
00:44:09,280 --> 00:44:12,279
Speaker 1: So I agree that there is negativity to that end,

856
00:44:12,440 --> 00:44:15,760
Speaker 1: or too much negativity. What makes and culture feel positive

857
00:44:15,800 --> 00:44:18,640
Speaker 1: about how things are going. Um, I know you're out

858
00:44:18,640 --> 00:44:20,840
Speaker 1: at the colleges talking to college kids all the time,

859
00:44:21,160 --> 00:44:23,799
Speaker 1: and college conservatives are the best because they've got that

860
00:44:24,160 --> 00:44:28,160
Speaker 1: like they've just discovered this reality that that they know

861
00:44:28,280 --> 00:44:30,799
Speaker 1: about and they're in the fight and they're realizing that

862
00:44:30,920 --> 00:44:33,480
Speaker 1: like they're they're red pilled at this young age. And

863
00:44:33,560 --> 00:44:36,160
Speaker 1: but you know what gives you a sense that it's

864
00:44:36,160 --> 00:44:39,479
Speaker 1: all gonna move in the right direction somehow, some way. Well,

865
00:44:39,520 --> 00:44:43,359
Speaker 1: it is true that conservatives in a liberal environment are

866
00:44:43,440 --> 00:44:47,239
Speaker 1: generally a lot of fun. They're not just rolling into

867
00:44:47,320 --> 00:44:51,080
Speaker 1: being conservatives. Conservatives in New York City, conservatives in Los Angeles,

868
00:44:51,400 --> 00:44:54,440
Speaker 1: and conservatives on college camps as there are a lot

869
00:44:54,480 --> 00:44:57,160
Speaker 1: of fun and they're not going to back down. They

870
00:44:57,160 --> 00:44:59,800
Speaker 1: don't wither under criticism, or they'd never be conservatives to

871
00:45:00,000 --> 00:45:02,520
Speaker 1: again with now, I don't think you ought to have

872
00:45:02,600 --> 00:45:05,480
Speaker 1: to be you know, brave and strong and courageous to

873
00:45:05,480 --> 00:45:08,640
Speaker 1: speak the truth in places like college campuses. But but

874
00:45:08,719 --> 00:45:11,320
Speaker 1: you kind of do when they are I don't know. Oddly,

875
00:45:11,400 --> 00:45:17,359
Speaker 1: I am quite optimistic. It's it's probably and you know, man,

876
00:45:17,440 --> 00:45:21,960
Speaker 1: I hope these aren't famous last words because politicians have

877
00:45:22,280 --> 00:45:26,000
Speaker 1: broken my heart so many times. But I'm I'm pretty

878
00:45:26,040 --> 00:45:29,160
Speaker 1: optimistic about about Rohn de Santis. I mean, people are

879
00:45:29,200 --> 00:45:32,920
Speaker 1: living in freedom in Florida. In one of his speeches,

880
00:45:33,120 --> 00:45:34,880
Speaker 1: it may have been the inaugural speech. I think you

881
00:45:34,920 --> 00:45:37,239
Speaker 1: were there, but I've heard this. People have said this

882
00:45:37,320 --> 00:45:41,920
Speaker 1: to me in Florida, and De Santa's repeated Europeans who

883
00:45:41,960 --> 00:45:46,320
Speaker 1: came left Europe, left Australia came to Florida. They said

884
00:45:46,520 --> 00:45:49,319
Speaker 1: they felt like they were leaving East Germany and going

885
00:45:49,360 --> 00:45:53,719
Speaker 1: to West Germany under communism. And I got to tell you,

886
00:45:53,760 --> 00:45:56,960
Speaker 1: it's it is like that when I tweeted that it

887
00:45:57,000 --> 00:46:00,320
Speaker 1: went viral and when I left New York ring the

888
00:46:00,360 --> 00:46:05,359
Speaker 1: lockdowns to go to Miami, and it was it. I mean,

889
00:46:05,560 --> 00:46:08,120
Speaker 1: people also think that that's that was so this owes

890
00:46:08,160 --> 00:46:13,200
Speaker 1: wild exaggeration. They deployed National Guard soldiers to stand around

891
00:46:13,239 --> 00:46:17,719
Speaker 1: in the airports to collect personal information on people about

892
00:46:17,760 --> 00:46:20,480
Speaker 1: an aerosolized virus. They're standing there, you know, with their

893
00:46:20,600 --> 00:46:23,200
Speaker 1: mfors with no magazine in them, just supposed to look

894
00:46:23,640 --> 00:46:25,879
Speaker 1: like just to scare the virus. And the whole thing

895
00:46:26,600 --> 00:46:33,279
Speaker 1: was idiotic beyond words. And I'm actually somebody who I

896
00:46:33,360 --> 00:46:35,680
Speaker 1: refuse to let this stuff go. I don't know. I

897
00:46:35,920 --> 00:46:39,560
Speaker 1: maybe that's gonna be you to my detriment, but I

898
00:46:39,560 --> 00:46:41,719
Speaker 1: don't think it's okay what happened at all. And I

899
00:46:41,760 --> 00:46:46,080
Speaker 1: feel like, back to Rhonda Santis point, I have never

900
00:46:46,120 --> 00:46:49,280
Speaker 1: felt like I owed a politician a debt of gratitude before.

901
00:46:50,200 --> 00:46:53,759
Speaker 1: It is hard to explain how gratifying it was as

902
00:46:53,760 --> 00:46:55,719
Speaker 1: a New Yorker, in particular to be able to leave

903
00:46:56,320 --> 00:46:59,080
Speaker 1: in the midst of that hellish lunacy and just go

904
00:46:59,120 --> 00:47:00,759
Speaker 1: to a place where people were just it was just

905
00:47:00,800 --> 00:47:03,080
Speaker 1: like being in America again, or what you thought was America.

906
00:47:04,040 --> 00:47:07,160
Speaker 1: And yes, I think it's kind of important, and then

907
00:47:07,239 --> 00:47:09,560
Speaker 1: saying you, I think you should keep talking about this.

908
00:47:09,840 --> 00:47:12,520
Speaker 1: I think it's important because even though I feel optimistic,

909
00:47:12,600 --> 00:47:14,600
Speaker 1: I'm not saying I'm putting all of my hopes in him.

910
00:47:14,640 --> 00:47:16,360
Speaker 1: There are other people. There are people like you, Buck,

911
00:47:16,600 --> 00:47:18,600
Speaker 1: And I mean, I guess I just throw it a

912
00:47:18,680 --> 00:47:20,680
Speaker 1: quick figure, real quick end. Will you tell everybody just

913
00:47:20,719 --> 00:47:24,200
Speaker 1: for the record that I was so anti max masks

914
00:47:24,280 --> 00:47:28,160
Speaker 1: so early that you were like, really, no, I know

915
00:47:28,560 --> 00:47:31,440
Speaker 1: you were right, though, I learned something interesting during masking.

916
00:47:31,480 --> 00:47:33,080
Speaker 1: I don't know if you remember. I used to say, no,

917
00:47:33,200 --> 00:47:36,799
Speaker 1: I was from masks long before. I fly a lot,

918
00:47:36,880 --> 00:47:38,160
Speaker 1: and I used to get a lot of colds and

919
00:47:38,200 --> 00:47:40,000
Speaker 1: i'd put a mask on. I wasn't a dork like

920
00:47:40,080 --> 00:47:42,759
Speaker 1: walking onto the plane with my mask, but once I

921
00:47:42,840 --> 00:47:44,920
Speaker 1: was seated, I would be a dork. I'd pull it

922
00:47:44,920 --> 00:47:46,560
Speaker 1: down to talk to the stewards, I'd pull it down

923
00:47:46,560 --> 00:47:48,359
Speaker 1: to go to the bathroom. And it was only when

924
00:47:48,480 --> 00:47:51,480
Speaker 1: in the wintertime when i'd hear, you know, tuberculosis boys

925
00:47:51,520 --> 00:47:54,200
Speaker 1: sitting behind me. But anyway, now I've learned that the

926
00:47:54,280 --> 00:47:58,880
Speaker 1: virus can go right through, and I assume flew viruses too.

927
00:47:59,200 --> 00:48:01,400
Speaker 1: But the reason I think it cut down on my colds,

928
00:48:01,400 --> 00:48:03,759
Speaker 1: and it definitely cut down on my colds from doing

929
00:48:03,840 --> 00:48:05,880
Speaker 1: a lot of flying, is that when you're sitting on

930
00:48:05,960 --> 00:48:09,839
Speaker 1: an airplane reading, at least I am constantly touching my face,

931
00:48:10,200 --> 00:48:12,080
Speaker 1: constantly touching my face, So as long as I had

932
00:48:12,080 --> 00:48:14,440
Speaker 1: the mask on, it was protecting me. But the reason

933
00:48:14,520 --> 00:48:17,000
Speaker 1: I think you should continue with the COVID stuff, and

934
00:48:17,160 --> 00:48:20,400
Speaker 1: I think we all we all owe Ron de Santis

935
00:48:20,440 --> 00:48:24,120
Speaker 1: and other sane. But by the way, Glenn Youngan, the

936
00:48:24,200 --> 00:48:27,120
Speaker 1: one I mentioned, governor of Virginia. First day in office,

937
00:48:27,360 --> 00:48:30,640
Speaker 1: he ended all the mask mandates in school, it was beautiful.

938
00:48:30,680 --> 00:48:34,120
Speaker 1: I remember that it was beautiful. But I think, though

939
00:48:34,120 --> 00:48:37,160
Speaker 1: I have an optimistic personality. Generally, when you look back

940
00:48:37,160 --> 00:48:41,120
Speaker 1: at history, things that have been very harmful to a society,

941
00:48:41,200 --> 00:48:46,480
Speaker 1: to a country. One is losing faith, feeling like the

942
00:48:46,520 --> 00:48:50,000
Speaker 1: country was dishonest and people couldn't be trusted. I mean,

943
00:48:50,000 --> 00:48:52,800
Speaker 1: there was the betting on that baseball game you always

944
00:48:52,800 --> 00:48:54,560
Speaker 1: hear about. Sorry, you'll have to check with Clay on

945
00:48:54,640 --> 00:48:58,680
Speaker 1: exactly what was it was the tea And then the

946
00:48:58,680 --> 00:49:01,560
Speaker 1: other one was there was a game show What's My

947
00:49:01,680 --> 00:49:03,640
Speaker 1: Line or something like that, and they found out that

948
00:49:03,680 --> 00:49:07,600
Speaker 1: they were shining quis show. Yeah, it's like a game quisha.

949
00:49:07,840 --> 00:49:09,359
Speaker 1: Oh sorry, is there a movie about that? I haven't

950
00:49:09,360 --> 00:49:12,760
Speaker 1: seen them. Yes, I think it's called what I'm saying. Yeah, Okay.

951
00:49:12,760 --> 00:49:15,000
Speaker 1: So now we have just lived through a couple of

952
00:49:15,080 --> 00:49:22,520
Speaker 1: years where we find out intelligence community intelligence officers are big, fat,

953
00:49:22,640 --> 00:49:27,960
Speaker 1: stinking liars. We find out that the brass at the FBI,

954
00:49:28,280 --> 00:49:32,520
Speaker 1: big fat stinking liars. We find out that public health authorities,

955
00:49:32,600 --> 00:49:36,320
Speaker 1: big fat stinking liars, and Twitter, where we're supposed to

956
00:49:36,360 --> 00:49:39,600
Speaker 1: be able to engage in free speech, was suppressing the

957
00:49:39,640 --> 00:49:42,440
Speaker 1: free speech. I mean, it's hard to imagine a society

958
00:49:42,480 --> 00:49:46,399
Speaker 1: where there were this many attacks. The Russian collusion thing,

959
00:49:46,840 --> 00:49:49,279
Speaker 1: New York Times won the Pulitzer Prize for that, and

960
00:49:49,320 --> 00:49:53,360
Speaker 1: the whole thing was bs the whole thing, So you

961
00:49:53,400 --> 00:49:56,640
Speaker 1: would think that bad things would be coming out of this.

962
00:49:57,600 --> 00:49:59,520
Speaker 1: And I don't know. I mean, I guess that's why

963
00:49:59,560 --> 00:50:02,439
Speaker 1: I looked Ron de Santis. I hope he can turn

964
00:50:02,480 --> 00:50:05,239
Speaker 1: this around. But boy, Ron de Santis is going to

965
00:50:05,320 --> 00:50:08,000
Speaker 1: have a lot on his plate. Do you have any

966
00:50:08,000 --> 00:50:10,000
Speaker 1: thoughts or opinions? And I didn't check with that on

967
00:50:10,000 --> 00:50:12,359
Speaker 1: the stuff before. And I like culter on the fly,

968
00:50:12,719 --> 00:50:16,040
Speaker 1: you know, because you never know. Sometimes you just gotta

969
00:50:16,040 --> 00:50:17,920
Speaker 1: have to duck, you know what's gonna come back at you.

970
00:50:18,560 --> 00:50:21,359
Speaker 1: But Andrew Tate, are you familiar with this guy any

971
00:50:21,360 --> 00:50:23,720
Speaker 1: of his stuff? He's gotten a lot of attention recently.

972
00:50:23,719 --> 00:50:25,400
Speaker 1: He's in a prison in Romania. Now do you know

973
00:50:25,440 --> 00:50:28,640
Speaker 1: about this guy? Well, I've seen the name and because

974
00:50:28,640 --> 00:50:30,799
Speaker 1: he was banned from Twitter. You so this is the

975
00:50:30,840 --> 00:50:33,319
Speaker 1: bad thing about banning people and then letting them back on.

976
00:50:33,600 --> 00:50:37,480
Speaker 1: Because he was banned and let back on, I just assumed, Oh,

977
00:50:37,520 --> 00:50:41,879
Speaker 1: he's probably funny. He's probably like Gavin McGinnis. Now i've

978
00:50:41,920 --> 00:50:45,400
Speaker 1: seen more about him, and you know, to quote my

979
00:50:45,400 --> 00:50:49,800
Speaker 1: favorite movie, Doctor Strangelove, he's a deviated prever. I actually,

980
00:50:50,000 --> 00:50:51,759
Speaker 1: should I see that movie. I haven't seen that one,

981
00:50:52,200 --> 00:50:55,520
Speaker 1: Doctor Strangelove. Oh my gosh, it's my favor I haven't

982
00:50:55,520 --> 00:50:56,920
Speaker 1: seen it. I have to check it out. I was

983
00:50:56,960 --> 00:50:59,080
Speaker 1: just wondering if you had a By the way, Clay

984
00:50:59,160 --> 00:51:04,000
Speaker 1: also recently cited now because we're really bringing this one back,

985
00:51:04,360 --> 00:51:07,600
Speaker 1: the cult theorem, which I remember from believe. I'm not

986
00:51:07,640 --> 00:51:09,120
Speaker 1: sure if it was one of your books or a column,

987
00:51:09,120 --> 00:51:10,960
Speaker 1: but I do remember as a culture theorem that the

988
00:51:11,080 --> 00:51:14,480
Speaker 1: oh no, it must have been mugged liberal demagoguery from

989
00:51:15,040 --> 00:51:21,240
Speaker 1: what was the thank you where the white white guilt

990
00:51:21,239 --> 00:51:26,279
Speaker 1: Bank shut down after OJ Because I'm wondering if we're

991
00:51:26,280 --> 00:51:28,359
Speaker 1: a headache a little bit more in that direction now,

992
00:51:28,480 --> 00:51:32,120
Speaker 1: and also the end of affirmative action in college admissions

993
00:51:32,120 --> 00:51:35,040
Speaker 1: has been that's been kind of a fascinating argument recently

994
00:51:35,080 --> 00:51:37,960
Speaker 1: to see that playing out where people are just saying, yeah,

995
00:51:38,000 --> 00:51:41,879
Speaker 1: it's good for society if Harvard pretends that Asians as

996
00:51:41,920 --> 00:51:46,640
Speaker 1: a matter of policy, have lacking personalities so they can

997
00:51:46,719 --> 00:51:51,919
Speaker 1: keep them out of Ivy League schools. People are always

998
00:51:52,160 --> 00:51:56,360
Speaker 1: remember I just cited this in my affirmative action article

999
00:51:56,440 --> 00:51:59,719
Speaker 1: on sub stack. Bill Gates Foundation gave a lot of

1000
00:52:00,000 --> 00:52:02,919
Speaker 1: money to researchers at Georgetown a couple of years ago

1001
00:52:03,239 --> 00:52:07,279
Speaker 1: to determine who was discriminated against the most in college admissions.

1002
00:52:07,880 --> 00:52:10,600
Speaker 1: So researchers spent some time, They got the colleges to

1003
00:52:11,200 --> 00:52:15,000
Speaker 1: give them the SATs and the admission rate and the race.

1004
00:52:15,719 --> 00:52:19,440
Speaker 1: And this was at the top two hundred most selective colleges,

1005
00:52:19,480 --> 00:52:21,840
Speaker 1: So top one hundred or two hundred, that's a lot

1006
00:52:21,960 --> 00:52:26,560
Speaker 1: of colleges and guests which group their numbers would go

1007
00:52:26,680 --> 00:52:30,719
Speaker 1: up most dramatically if there were no affirmative action, if

1008
00:52:30,719 --> 00:52:33,080
Speaker 1: you weren't allowed to look at race. I had thought

1009
00:52:33,120 --> 00:52:41,200
Speaker 1: it was Asians, but nope, light men. Really yes, I

1010
00:52:41,239 --> 00:52:45,000
Speaker 1: remember people poking and asking me all kinds of questions

1011
00:52:45,000 --> 00:52:46,799
Speaker 1: when I got to Amberous, which is a you know,

1012
00:52:46,840 --> 00:52:49,440
Speaker 1: one of these liberal arts colleges, but it's one of

1013
00:52:49,480 --> 00:52:53,040
Speaker 1: those places that thinks it's saving the world by getting

1014
00:52:53,160 --> 00:52:56,960
Speaker 1: very social justice focused. They couldn't believe I was a

1015
00:52:57,000 --> 00:53:00,279
Speaker 1: white kid with I was not a recruited at Lead,

1016
00:53:01,000 --> 00:53:03,320
Speaker 1: not the son of or you know, not not a

1017
00:53:03,440 --> 00:53:07,920
Speaker 1: child of alumni a legacy, and had no like financial

1018
00:53:07,920 --> 00:53:11,760
Speaker 1: connection to the college that was. That was a rarity

1019
00:53:11,920 --> 00:53:14,399
Speaker 1: for I mean because basically a lot of the white

1020
00:53:14,440 --> 00:53:16,879
Speaker 1: kids or legacies are recruited athletes at those schools now,

1021
00:53:17,040 --> 00:53:18,799
Speaker 1: and if you don't fit into one of those categories,

1022
00:53:20,120 --> 00:53:25,000
Speaker 1: very tough, right, even the legacies. In defense of legacies,

1023
00:53:25,040 --> 00:53:29,200
Speaker 1: what we've learned about IQ, it is at least in

1024
00:53:29,320 --> 00:53:32,279
Speaker 1: part genetic, there is a reversion to the means. So

1025
00:53:32,360 --> 00:53:34,520
Speaker 1: if you have really smart parents, the odds are the

1026
00:53:34,560 --> 00:53:36,120
Speaker 1: kids won't be as smart as the parents. If you

1027
00:53:36,120 --> 00:53:38,680
Speaker 1: have really dumb parents, the odds are the kids won't

1028
00:53:38,680 --> 00:53:41,440
Speaker 1: be as dumb as the parents. Yet. And still, if

1029
00:53:41,440 --> 00:53:44,359
Speaker 1: you have a group of two hundred kids in one room,

1030
00:53:44,400 --> 00:53:46,400
Speaker 1: two hundred kids in the other room, and you have

1031
00:53:46,520 --> 00:53:49,360
Speaker 1: low IQ parents in the first room and high the

1032
00:53:49,480 --> 00:53:53,840
Speaker 1: odds are the out of the two hundred kids with

1033
00:53:53,960 --> 00:53:56,440
Speaker 1: the high IQ parents they'll have the kids will have

1034
00:53:56,520 --> 00:53:58,439
Speaker 1: higher IQs. That was just the name of this. Today

1035
00:53:58,600 --> 00:54:01,160
Speaker 1: reading some New York Times are article about it's just

1036
00:54:01,200 --> 00:54:04,600
Speaker 1: like throws in this BS line about well they have

1037
00:54:04,800 --> 00:54:11,319
Speaker 1: generational wealth. No, it's not generational wealth, it's generational IQ.

1038
00:54:12,239 --> 00:54:15,560
Speaker 1: Another one where Anne is saying stuff that I'm sure

1039
00:54:15,640 --> 00:54:18,440
Speaker 1: some people are going to start to get all googly,

1040
00:54:18,760 --> 00:54:22,000
Speaker 1: They're going to start googling it, being like, wait a second, look,

1041
00:54:22,040 --> 00:54:25,879
Speaker 1: I think is the be all end all. Obviously they're

1042
00:54:25,920 --> 00:54:30,640
Speaker 1: more important qualities than in life. But to pretend that

1043
00:54:31,160 --> 00:54:34,240
Speaker 1: I'm just saying the children of legacies, if the legacy

1044
00:54:34,280 --> 00:54:37,239
Speaker 1: has got in on the basis of the basis of

1045
00:54:37,320 --> 00:54:39,840
Speaker 1: their of their SAT scores, the odds all or the

1046
00:54:39,880 --> 00:54:42,359
Speaker 1: kids are gonna have decent SAT scores. It is just

1047
00:54:42,400 --> 00:54:46,279
Speaker 1: anything that involves IQ. People there's like this immediately if

1048
00:54:46,280 --> 00:54:48,520
Speaker 1: you even talk about it, everyone starts to freak out.

1049
00:54:48,680 --> 00:54:50,640
Speaker 1: I think that's been a trained response for a lot

1050
00:54:50,680 --> 00:54:52,440
Speaker 1: of people for a long time. As I understand it,

1051
00:54:52,520 --> 00:54:56,400
Speaker 1: IQ is really more it's it's a general range of capacity.

1052
00:54:56,440 --> 00:54:58,400
Speaker 1: And so even within that, because I've met lots of

1053
00:54:58,600 --> 00:55:01,640
Speaker 1: I have met people in my life who have walked

1054
00:55:01,640 --> 00:55:04,600
Speaker 1: around saying, you know, I'm one forty five, I Q

1055
00:55:04,840 --> 00:55:06,680
Speaker 1: or something, and you're like, yeah, you're kind of a loser,

1056
00:55:06,960 --> 00:55:10,280
Speaker 1: so it doesn't you know, it can be really helpful,

1057
00:55:10,480 --> 00:55:15,640
Speaker 1: but you know it doesn't mean that that's the only thing,

1058
00:55:15,800 --> 00:55:17,680
Speaker 1: as you said, as you rightly understand. So and if

1059
00:55:17,680 --> 00:55:20,360
Speaker 1: I gave you one last, one last moment talked to

1060
00:55:20,400 --> 00:55:22,399
Speaker 1: all the folks, obviously they should go check out your

1061
00:55:22,400 --> 00:55:26,799
Speaker 1: sub stack, which is phenomenal. I am a sub I'm

1062
00:55:26,800 --> 00:55:30,520
Speaker 1: a subscriber, full disclosure, and we're gonna get and some

1063
00:55:30,600 --> 00:55:35,920
Speaker 1: Geeza dreamsheets and anything else. We're gonna tell everybody, Um, okay,

1064
00:55:36,160 --> 00:55:41,560
Speaker 1: sub stack columns. Do you want to make any wild

1065
00:55:41,600 --> 00:55:43,839
Speaker 1: predictions that we'll bring you back on to see if

1066
00:55:43,840 --> 00:55:48,640
Speaker 1: you're right? Well? Is it desantist? Biden twenty twenty four.

1067
00:55:49,480 --> 00:55:51,920
Speaker 1: I tend to think. I mean you and I have

1068
00:55:52,000 --> 00:55:55,200
Speaker 1: talked about this. I think we agree. I think there's

1069
00:55:55,200 --> 00:55:58,279
Speaker 1: a good chance Democrats do the Weekend of Bernie thing

1070
00:55:58,600 --> 00:56:02,000
Speaker 1: with Biden just because he's gone, Look, who do they

1071
00:56:02,040 --> 00:56:06,640
Speaker 1: have that little bootage? He's doing a bang up job here.

1072
00:56:06,680 --> 00:56:10,839
Speaker 1: He's the most famous or maybe infamous transportation secretary of all.

1073
00:56:10,880 --> 00:56:15,040
Speaker 1: Like I can't even name a transportation secretary before this guy. Oh,

1074
00:56:15,080 --> 00:56:18,399
Speaker 1: I can't Norman Manetta. I hated him more, but week

1075
00:56:18,480 --> 00:56:24,040
Speaker 1: after week just total disaster. I lodge and every time

1076
00:56:24,120 --> 00:56:26,200
Speaker 1: something like this happens, you just think back to that

1077
00:56:26,280 --> 00:56:31,280
Speaker 1: picture of him and his husband in the hospital, rocking

1078
00:56:31,320 --> 00:56:33,840
Speaker 1: the baby as if they're nursing. It. Never should go

1079
00:56:33,920 --> 00:56:37,000
Speaker 1: check out ends sub stack and we'll have you back.

1080
00:56:37,040 --> 00:56:38,719
Speaker 1: And next time I want to, I need to get

1081
00:56:38,760 --> 00:56:42,000
Speaker 1: deeper into you know what you what you like to

1082
00:56:42,040 --> 00:56:44,840
Speaker 1: read for fun, which I know you're a grateful, dead person,

1083
00:56:44,960 --> 00:56:46,400
Speaker 1: which I do want to make fun of you for

1084
00:56:46,400 --> 00:56:48,640
Speaker 1: this because an I can't do it. I can't do it.

1085
00:56:49,040 --> 00:56:52,879
Speaker 1: I don't understand. But then again, I'm grumpy. I listen

1086
00:56:52,960 --> 00:56:59,080
Speaker 1: to anything. The only music I don't like is jazz. Wow. Okay,

1087
00:56:59,120 --> 00:57:01,520
Speaker 1: there's nothing class seer than boring jazz, I believe they

1088
00:57:01,560 --> 00:57:04,840
Speaker 1: said once on the office. So there's that. And Coulter

1089
00:57:05,160 --> 00:57:06,920
Speaker 1: with us. Thanks so much and great to see you.

1090
00:57:07,000 --> 00:57:09,920
Speaker 1: Thanks for making the time. Thank you great to talk

1091
00:57:09,960 --> 00:57:10,880
Speaker 1: to you about Sexton