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Speaker 1: You're listening to The Buck Sexton Show podcast, make sure

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Speaker 1: you subscribe to the podcast on the iHeartRadio app or

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Speaker 1: wherever you get your podcasts. Hey, everybody, welcome to the

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Speaker 1: new edition of The Buck Sexton Show. We're gonna be

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Speaker 1: doing long form conversations, sit downs, hanging out with people,

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Speaker 1: having fireside chats. Although there's no fireplace in here because

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Speaker 1: I'm in Miami. There's not a lot of fireplaces in

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Speaker 1: Miami in general. But we are joined by a fantastic

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Speaker 1: first guest, and Coulter. She has written thirteen New York

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Speaker 1: Times bestsellers, including a number of number one bestsellers. You

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Speaker 1: know her from well all of her appearances on TV,

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Speaker 1: from her fierce Twitter game, and of course because she

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Speaker 1: is the one and only end Coulter. Miss Coulter, thank

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Speaker 1: you for being with us. Appreciate you and sub sec

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Speaker 1: that's how you know. Oh now, how does every subscribe

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Speaker 1: to your substack? And well, thank you for asking Buck

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Speaker 1: Sexton and Coulter dot subsack dot com. That's the place

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Speaker 1: you can get a culture, unfiltered no ads. Well maybe

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Speaker 1: here tonight with you, Buck, here we go fantastic yes,

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Speaker 1: so and tell me some things here first and foremost,

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Speaker 1: what is top of mind for you in the country

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Speaker 1: right now if you could fix let's start with that

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Speaker 1: and fix one thing for me in America. What would

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Speaker 1: it be. We need a big, beautiful wall. I was

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Speaker 1: promised a big beautiful wall. But I mean, seriously, there's

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Speaker 1: a reason. That's what carried this buffoon, Donald Trump to

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Speaker 1: president in two thousand sixteen. Whether or not the talking

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Speaker 1: heads appreciated or the New York Times appreciated, Americans voted

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Speaker 1: for the big beautiful wall. And we're seeing under Biden

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Speaker 1: the problem with him not having built that wall. Estimates

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Speaker 1: are I mean, they've caught and released more than two

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Speaker 1: million illegals. The estimates go up to five million only

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Speaker 1: since Biden has been president. And I mean, there are

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Speaker 1: a lot of reasons not to like that with it's

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Speaker 1: going to be suppressing, hurting the least among us those

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Speaker 1: low wage workers who actually, surprisingly I will admit, didn't

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Speaker 1: pretty well under Trump. Why because you know, with these

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Speaker 1: temporary measures and a lot of it was just his rhetoric.

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Speaker 1: He scared off illegals from trying to come based on

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Speaker 1: the campaign, and then after you know, he was in

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Speaker 1: office for about a year they realized he's not doing anything.

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Speaker 1: We let's go back. But for the there's cultural reasons

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Speaker 1: to care about this. We are the greatest country in

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Speaker 1: the world and we do have So can I ask

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Speaker 1: you this in because you've been you were the original

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Speaker 1: on the argument here for well, first I mean first

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Speaker 1: secure border that involved a wall, and in fact, Trump

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Speaker 1: I believe early on was even telling people that he

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Speaker 1: read Audios America, your book, and that this is where

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Speaker 1: the idea for this largely largely came from. So I've

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Speaker 1: been down to the border a bunch of times, no question,

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

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Speaker 1: with them and they always get very, very frustrated. A

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Speaker 1: wall helps And if you talk to border patrol, they'll

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Speaker 1: say it absolutely is helpful because even in areas where

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Speaker 1: the wall doesn't exist, there's fewer sorry, they can have

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Speaker 1: fewer resources where they have no you know, where they

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Speaker 1: have a wall versus where they have no wall, right,

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Speaker 1: so they can kind of focus in on the high

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Speaker 1: traffic areas of drugs. A high traffic problem though we

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Speaker 1: got even if we had a wall, they are surrendering.

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Speaker 1: This is what's going. So I want to know how

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Speaker 1: we deal with that issue because people are showing up.

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Speaker 1: The wall stops the drug traffickers, the single male migrants.

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Speaker 1: When I say stops, you know, makes it harder for them, right,

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Speaker 1: and makes border patrol's job easier. But you have family

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Speaker 1: units that show up to the border wall or anywhere

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Speaker 1: and essentially walk in and they say, hey, here, I

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Speaker 1: am right. So and even in a wall situation, they

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

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Speaker 1: where you know, the wall isn't that big, they go

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Speaker 1: over it, and now they say, I want asylum in

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Speaker 1: your country. So what do we do about that? Well,

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Speaker 1: we invent a time machine. We go back and make

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Speaker 1: up keeper's promises to things about what you just said. Yeah,

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Speaker 1: of course they're they're going to be some entry points,

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Speaker 1: but we want a big wall across the entire border,

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

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Speaker 1: not think that if he had kept his promise, Biden

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Speaker 1: would have come in, and a Biden wouldn't have come in.

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Speaker 1: Trump would have won reelection if he had kept his promises.

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Speaker 1: But moreover, even if even if a Democrat didn't come in,

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Speaker 1: they're not going to rip down a wall. It took

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Speaker 1: you know, like the Great Chinese Wall or the Great

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Speaker 1: Wall of China. That's why we want a wall, because

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Speaker 1: different administrations are going to have different policies and as

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Speaker 1: long as the border is open, and it's just a

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Speaker 1: matter of well, does the president want to protect American

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Speaker 1: jobs or doesn't he want to protect American jobs? And

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Speaker 1: part of what the Democrats just hauling the millions upon

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Speaker 1: millions of illegals. In part of it is just a

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Speaker 1: response to Trump. We were always worried about that that

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Speaker 1: he can, on one hand, even back down, but he

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Speaker 1: was so borish about making the points from Adios America

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Speaker 1: and I don't need exactly make them in a Marquis

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Speaker 1: to Queensberry's way, but he took it to another level,

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Speaker 1: that whole Mexican rapist thing. Oh it's in my book,

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Speaker 1: but I would have phrased it slightly differently as I did.

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Speaker 1: And the reaction to Trump was was so the concern

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Speaker 1: was he could end up making it worse and destroying

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Speaker 1: these issues that a lot of people like but lots

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Speaker 1: of others have been working on for years and caring

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Speaker 1: about in the American people here about and I think

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Speaker 1: we've seen that with the whole Democratic Party. If Trump

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Speaker 1: was for it, we are against what Biden is doing

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Speaker 1: at the border. Obomb would never have done. This is

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Speaker 1: a This is an open border, I mean, right, if

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Speaker 1: we're being honest about it, they're doing everything they can

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Speaker 1: to make sure as many people as possible can stay

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Speaker 1: at this point, and there's no interior enforcement. I mean,

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Speaker 1: it has been funny. I'm sure you've seen the clips.

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Speaker 1: These are real lips. We're not. This is not a

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Speaker 1: joke in the sense that we're making this up. There

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Speaker 1: are migrants who show up and they say I'm here

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Speaker 1: because of Joe Biden. Right, they mean they're showing up

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Speaker 1: and they're straight up saying, oh no, the cartels have

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Speaker 1: told me this is a great time to get here

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Speaker 1: because of Joe Biden. Yes, and two other things. I

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Speaker 1: was going to mentionure in addition to changing the culture

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Speaker 1: and really being very harmful to low wage workers, perhaps

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Speaker 1: we should care about low wage workers. The other reason

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Speaker 1: the Democrats I am a reaction Trump. The other reason

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Speaker 1: the Democrats want this is manifestly because they want Third

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Speaker 1: worlders to become US citizens and start voting. And what

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Speaker 1: effects will that have? Oh, Republicans keep telling me that Hispanics,

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Speaker 1: they're natural Republicans, natural Republicans. Well, oh my gosh, what

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Speaker 1: happened to California. I had a young kid. I'm starting

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Speaker 1: to a young kid this weekend. He was saying, I

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Speaker 1: just don't understand why Californians vote for Gavin Newsom, because

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Speaker 1: it's plurality Hispanic now and Hispanics may not like the

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Speaker 1: trans stuff if you pass film, they may not like

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Speaker 1: the abortion stuff, but they want welfare, they want the

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Speaker 1: government aid, and they know they're going to get that

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Speaker 1: from the Democrats. So the state that once gave us

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Speaker 1: Richard Nixon and Ronald Reagan, you couldn't get elected dog

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Speaker 1: catcher in California right now. And I mean, it's completely

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Speaker 1: insane the things that Gavin Newsom is doing in California.

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Speaker 1: I kind of hope that the Democrats do move Biden aside.

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Speaker 1: Well be careful what you wish for, yea, But I

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Speaker 1: don't think the rest of the country is ready for

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Speaker 1: Gavin Newsom. Did you see Eric Adams? I always want

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Speaker 1: someone to explain this to me. Eric Adams is the

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

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Speaker 1: add not a good one just in case anyone's wondering,

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Speaker 1: we were supposed to be, Oh, he's going to clean

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Speaker 1: up all the streets and the problems that. No, no,

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Speaker 1: that's actually not correct. But anyway, and it's really I

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

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Speaker 1: machine in the City of New York are just no longer.

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Speaker 1: If people knew what's really going on in the District

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Speaker 1: Attorney's office and the woke loo to ticks 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 uh and you know, may

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Speaker 1: be sure that they had access to their own fresh

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Speaker 1: drinking water. But he went to the southern border, and

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

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Speaker 1: he met with said, oh, we hear you take great

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

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Speaker 1: go to New York. So you're an al Paso, you're

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Speaker 1: an illegal migrant. You're saying, well, I want to go

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Speaker 1: to New York City. Meanwhile, New York City's mayor is

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Speaker 1: also telling everybody, we can't afford the illegal migrants anymore.

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Speaker 1: The city of Viewer can't afford them now. I just

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Speaker 1: think this is so interesting because I thought we weren't

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Speaker 1: allowed to say that they were a drain on public resources. Well,

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Speaker 1: when when did we just stop to when did we

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Speaker 1: skip to all of a sudden legal migrants are really expensive? Right? No?

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

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

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

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Speaker 1: was the most brilliant political stunt. That's what real media

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Speaker 1: calls it, stunt, the most brilliant political stunt of my lifetime.

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Speaker 1: Now you have the very very very progressive gay governor

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Speaker 1: of Colorado doing the exact same thing. He's sending his

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Speaker 1: illegals to New York. And suddenly these liberal states that

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Speaker 1: in this home we believe, suddenly they get they get

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Speaker 1: a look at what it's like having the Third World

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Speaker 1: dumped in their towns and cities and schools and hospitals,

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Speaker 1: and not so himp to it. Now, one other thing

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

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Speaker 1: love our border security guards. They're the last people you

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Speaker 1: want to check with on what's needed at the border.

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Speaker 1: This used 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 don't just be

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

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

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

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Speaker 1: probably seen but and I mean even so, I've still

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Speaker 1: even 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 in ration one down by I believe ninety percent.

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Speaker 1: It may be more than ninety percent. That wasn't good

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

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

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

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

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

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Speaker 1: should have them running our border checks. Put the Saudiast,

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

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Speaker 1: quite militarized, I'm sure, along with the YEMENI So not

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

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Speaker 1: do work. It has been a thing for a long time,

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Speaker 1: about we went right into the border round immigration and

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

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

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Speaker 1: like it. Yeah, they're amazing. No, it's a great company.

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

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Speaker 1: on it. I actually I also wear the little the moccasins,

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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 to ask you something, you

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Speaker 1: 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 gonna affect your

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

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

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

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Speaker 1: much more fired up about. How, you know, fentonyl not

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

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

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Speaker 1: ever seen. In this country, and yet it's like not

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

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Speaker 1: on the Speaker of the House issue with McCart Like,

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Speaker 1: what do you make of all that? Did you? Did

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Speaker 1: you care? Does it matter? Will it matter? My advice

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Speaker 1: is cut the cord, don't watch cable. I think we're

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Speaker 1: the only ones care. I generally have MSNBC on in

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Speaker 1: the background just so I can monitor the enemy. But

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Speaker 1: it's been pretty much January sixth. Oh there's and there

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Speaker 1: was UK Crane for a while, and there's been one

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Speaker 1: exciting new story that representative of Santos as at George

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Speaker 1: Santos know their cover and that like January sixth and

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Speaker 1: for the speaker vote. But then you would, you'd you'd

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Speaker 1: go out on the street and talk to normal people,

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Speaker 1: and no one, absolutely no one cared. Now as a

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Speaker 1: political you know, nut as we are, and probably a

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Speaker 1: lot of a lot of your listeners and my readers are.

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Speaker 1: I actually think it was a great thing. I think

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Speaker 1: they got a lot of good concessions out of McCarthy.

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Speaker 1: I think they're a lot of great Republicans. There are

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Speaker 1: a few things that were stupid about it, but by

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Speaker 1: and large, I mean, we ended up avoiding having Dan

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Speaker 1: Crenshaw as head of Homeland Committee in the House. That's

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Speaker 1: a good thing right there, And it's sort of it's

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Speaker 1: always good to scare Republican politicians, especially Republican politicians who

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Speaker 1: have been there for a while, the ones who would

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Speaker 1: like to go establishment. Listen to the donors. Give them

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Speaker 1: a good scare every once in a while. Yeah, brush

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Speaker 1: back pitch. I think I've learned a lot of sports

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Speaker 1: from Clay by the way we talk about these things now,

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Speaker 1: you know, I'm sort of like, yeah, that's a that's

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Speaker 1: I can't even think of anything off the top of

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Speaker 1: my head now, but that's a sports thing that people

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Speaker 1: get excited about. But a brush back pitch, that's one

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

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Speaker 1: some Republicans, especially of the more establishment variety. What happened

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

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

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

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

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

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

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Speaker 1: think 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: what did to Trump? We have to run a candidate

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Speaker 1: who was sucking up to Trump. We have to earn well.

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Speaker 1: He's saying, you have to make the number one issue

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

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

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

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

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

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Speaker 1: against 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. Vanton he showed up

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

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Speaker 1: held people working for Jdvans saying if I lived in Ohio,

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Speaker 1: I've been voting against Jdvans just because of this speech.

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Speaker 1: This is just get away from him. He won the

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Speaker 1: nomination run on your own two feet, and so obviously

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Speaker 1: that I'm not alone in that analysis the Trump Act

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Speaker 1: candidates and the ones that ended up winning nominations because

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Speaker 1: people were afraid, oh, but what if we don't get

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

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Speaker 1: And the other issue. So Trump was a total disaster

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Speaker 1: for the mid terms, and I think luckily people have

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Speaker 1: seen that now, so it won't we hopefully won't have

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Speaker 1: the same thing happened in presidential Asia and the other one.

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Speaker 1: You know. I've been pro life pretty much my whole life.

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Speaker 1: I've written articles on it in the Human Life Review

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Speaker 1: back when I was practicing law. I've had debates on

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Speaker 1: it at Ivy League campuses. I am pro life. I

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Speaker 1: think it was stupid for some of these states. I

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Speaker 1: mean the most one of the most important things is

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Speaker 1: getting rid of the monstrosity of Roe v. Wade and

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Speaker 1: the idea that this really terrible thing, an abortion, is

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Speaker 1: a constitutional right, that that's what our framers we're thinking of. Okay,

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Speaker 1: so yea, we won pop Champagne. It goes back to

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Speaker 1: the states, and I think most of the states again

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Speaker 1: I will credit run to Santas and Florida and a

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Speaker 1: lot of states did this. Republicans just jumped in and

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Speaker 1: said abortions for the first would vary twelve weeks, seven weeks,

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Speaker 1: fifteen weeks, sixteen weeks, and that's it, and that's it.

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Speaker 1: And that seems after looking at the internal election, that

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Speaker 1: seems to be the consensus position. And I don't think

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Speaker 1: it's hypocritical for pro lifers or Republicans to take that position.

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Speaker 1: You can say I would never have an abortion. I

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Speaker 1: would counsel anyone in my family or anyone anyone I

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Speaker 1: could talk to don't have an abortion. But you're talking

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Speaker 1: about a law that probably would would. I mean, it's

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Speaker 1: hard to say this is a human life and this

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Speaker 1: isn't a crime. There's got to be a penalty, there's

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Speaker 1: got to be a fine. There could be, as one

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Speaker 1: of Trump's candidates was suggesting a murder charge for the woman.

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Speaker 1: I mean, there's got to be something. And I think

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Speaker 1: people who are even pro life are saying, I don't

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Speaker 1: want the law to say that though I wouldn't have

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Speaker 1: an abortion, and I do think this is a human life,

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Speaker 1: and Republicans have got to stop doing I mean some

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Speaker 1: of these states and some of the bills, No, it's

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

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Speaker 1: the woman for for murder? I mean it becomes sometimes Republicans.

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Speaker 1: We saw this a lot with the Tea Party, and

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Speaker 1: I think we saw it too much of it in

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Speaker 1: the midterms. And that is this idea, I mean, this

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

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Speaker 1: I'm gonna make the basket from over my shoulder. No,

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Speaker 1: don't show off to the zealots. We're trying to save

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Speaker 1: a country here. Who could save the country. I mean

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Speaker 1: we were just talking a second ago about obviously Trump,

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Speaker 1: which just so you know, whenever you do, you get

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Speaker 1: I get all the emails that are agree. I'm like,

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Speaker 1: I'm not Ann's keeper, Like I don't know what to

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Speaker 1: tell peof I'm not in charge of the culture flame

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Speaker 1: when it starts. You know, it's amazing to be because

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Speaker 1: I just I want your viewers to know Buck Sexton

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Speaker 1: is my keeper. If you have complaints, email Buck. I

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Speaker 1: mean they do, They're like, how dare you have that? Wo?

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Speaker 1: But I'm like, first of all, like, if we're gonna

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Speaker 1: talk about people's credentials, uh, and you know and and

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Speaker 1: I know each other personally, people's credentials and conservative movement,

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Speaker 1: there has to be a level at which one's conservatism

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Speaker 1: is not a thing that we're going to really sort

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Speaker 1: of question anymore based on a political candidate or whatever.

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Speaker 1: I would think that we could get there at some

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Speaker 1: point because people are like, she's become a she's become

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

403
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Speaker 1: hasn't become a liberal. I get those angry emails, but

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Speaker 1: who can Okay, So if it's I don't want to

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Speaker 1: ask you what if it is Trump, because I know

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Speaker 1: you think and and I have a bet for full disclosure,

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

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Speaker 1: way it's gonna be Trump this go round. I don't

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

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Speaker 1: fifty shot that that's gonna be Trump this time round.

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Speaker 1: I think it's gonna be Trump or De Santists. That's

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

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Speaker 1: this position where I'm like, better Trump than the Commies. Right,

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

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

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00:21:27,137 --> 00:21:29,457
Speaker 1: destroy our country instead of for well, I mean, they're

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00:21:29,617 --> 00:21:31,497
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 I think

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Speaker 1: there's a Democrat beat De Santist. I don't think there

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Speaker 1: is a Democrat who could not beat Trump. I do

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Speaker 1: think that Democrats desperately want to run against Donald Trump.

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Speaker 1: To that end, I have to ask you m the

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Speaker 1: theory that's out there right now about the classified documents thing.

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Speaker 1: This is another area, by the way, because you know,

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Speaker 1: when I was in the CIA, we were just the

426
00:21:56,537 --> 00:22:01,177
Speaker 1: classified documents stuff. It's so, I mean, just everything is classified.

427
00:22:01,297 --> 00:22:04,817
Speaker 1: Like the sandwich that I had, uh you know, three

428
00:22:04,857 --> 00:22:08,337
Speaker 1: weeks ago, is classified. Everything is classified. Everything is going

429
00:22:08,377 --> 00:22:10,857
Speaker 1: to help China defeat us in the nuclear war. That's coming.

430
00:22:11,057 --> 00:22:13,137
Speaker 1: It's really it gets a little bit crazy that all

431
00:22:13,177 --> 00:22:16,737
Speaker 1: said this theory that they're trying to get rid of

432
00:22:16,777 --> 00:22:20,497
Speaker 1: Biden with this. I think that the simple answer is

433
00:22:20,577 --> 00:22:22,577
Speaker 1: usually I'm an Okham's razor guy. I think the simple

434
00:22:22,617 --> 00:22:25,177
Speaker 1: answer is usually the better answer. I think Joe Biden

435
00:22:25,257 --> 00:22:28,817
Speaker 1: is a reckless dumbass, and that is the situation with

436
00:22:28,857 --> 00:22:31,417
Speaker 1: the documents. I don't think there's some grand conspiracy. Do

437
00:22:31,457 --> 00:22:34,577
Speaker 1: you think there's a conspiracy? I don't know. No, no, no.

438
00:22:34,657 --> 00:22:37,937
Speaker 1: I think this is probably because there are so many

439
00:22:37,977 --> 00:22:42,817
Speaker 1: actual conspiracies against right wingers. I do think Republicans and

440
00:22:42,857 --> 00:22:46,937
Speaker 1: even friends of mine can be a little too conspiracy minded.

441
00:22:47,537 --> 00:22:51,137
Speaker 1: They may end up shiving Biden. It could happen, and

442
00:22:51,337 --> 00:22:54,977
Speaker 1: you're gonna know what happens. It's not gonna be this

443
00:22:55,177 --> 00:22:57,977
Speaker 1: bank shot with the class of odgers. No. I think

444
00:22:58,017 --> 00:23:00,137
Speaker 1: the only reason they're acting like this, Oh, we're taking

445
00:23:00,137 --> 00:23:03,097
Speaker 1: this very seriously is because they've just done it to Trump.

446
00:23:03,457 --> 00:23:05,897
Speaker 1: And I totally agree with you. I didn't think it

447
00:23:05,937 --> 00:23:09,177
Speaker 1: was a big deal with Trump. Of the three cases,

448
00:23:09,257 --> 00:23:14,617
Speaker 1: Hillary Clint hoarding classified documents and having her private emails,

449
00:23:15,057 --> 00:23:18,137
Speaker 1: Biden ending up with these classified doctors no, we don't

450
00:23:18,177 --> 00:23:21,057
Speaker 1: know what's in them. And the Trump one, I think

451
00:23:21,097 --> 00:23:24,337
Speaker 1: the only one that was probably pretty serious was the

452
00:23:24,417 --> 00:23:29,817
Speaker 1: Hillary variousness. I think she was hiding what she was

453
00:23:29,897 --> 00:23:34,977
Speaker 1: doing from Obama. But those are those are documents that

454
00:23:35,017 --> 00:23:37,177
Speaker 1: belonged to the American people. And to be destroying her

455
00:23:37,257 --> 00:23:40,977
Speaker 1: email server, no, that is all nefarious. Yeah, she was

456
00:23:41,017 --> 00:23:44,857
Speaker 1: trying to evade FOYA basically because a State Department personnel

457
00:23:44,937 --> 00:23:48,137
Speaker 1: have unclassified email and you can send, so you can

458
00:23:48,137 --> 00:23:50,737
Speaker 1: send somebody you know at State dot gov or whatever,

459
00:23:51,137 --> 00:23:54,377
Speaker 1: and all it takes is one one of the multi

460
00:23:54,417 --> 00:23:59,177
Speaker 1: million dollar like Saudi or Chinese or you name it

461
00:23:59,297 --> 00:24:02,657
Speaker 1: donors to the Clinton Global Initiative to be like, hey,

462
00:24:02,657 --> 00:24:04,697
Speaker 1: I wrote you a big check, I demand a meeting,

463
00:24:05,097 --> 00:24:07,497
Speaker 1: Like all it takes is one of those or somebody

464
00:24:07,537 --> 00:24:09,217
Speaker 1: to say the wrong thing, and all of a sudden

465
00:24:09,217 --> 00:24:11,897
Speaker 1: that because they were running a huge influence peddling scam.

466
00:24:11,897 --> 00:24:13,497
Speaker 1: I mean, I I remember I was at CNN in

467
00:24:13,537 --> 00:24:16,057
Speaker 1: the days when that was all being talked about, and

468
00:24:16,137 --> 00:24:20,017
Speaker 1: for one, they were I mean actually mocking the idea

469
00:24:20,057 --> 00:24:21,857
Speaker 1: that there was anything classified in her emails when I

470
00:24:21,857 --> 00:24:23,537
Speaker 1: would talk about that, which was pretty funny. And then

471
00:24:23,537 --> 00:24:26,977
Speaker 1: also mocking the idea that the Clintons had what was

472
00:24:27,017 --> 00:24:28,857
Speaker 1: it they had raised? I can't even remember the number

473
00:24:28,857 --> 00:24:31,177
Speaker 1: at this point, but I mean they made a hundred

474
00:24:31,177 --> 00:24:34,897
Speaker 1: million dollars basically giving speeches and ghostwriting books. Nobody in

475
00:24:35,417 --> 00:24:38,417
Speaker 1: you know this business very well, nobody makes one hundred

476
00:24:38,417 --> 00:24:41,297
Speaker 1: million dollars in a matter of whatever it was, you know,

477
00:24:41,417 --> 00:24:45,657
Speaker 1: ten years by giving speak giving speeches, and getting a

478
00:24:45,657 --> 00:24:47,777
Speaker 1: couple of books ghosts written. That doesn't one hundred million.

479
00:24:48,057 --> 00:24:52,297
Speaker 1: And now that she's not president, I think the donations

480
00:24:52,297 --> 00:24:54,977
Speaker 1: have really gone to kind of a trickle. They shut

481
00:24:54,977 --> 00:24:58,337
Speaker 1: down the Clinton Global Initiative in twenty seventeen and like

482
00:24:58,497 --> 00:25:00,497
Speaker 1: six months, and they didn't even really wait very long

483
00:25:00,537 --> 00:25:02,737
Speaker 1: on it. They kind of went for it right right away.

484
00:25:02,817 --> 00:25:05,897
Speaker 1: So if it is not can I ask you this one.

485
00:25:05,937 --> 00:25:09,457
Speaker 1: If it's if it's not Biden, who's the scariest candidate

486
00:25:09,537 --> 00:25:12,977
Speaker 1: that Republicans could face in terms of obviously being able

487
00:25:12,977 --> 00:25:15,417
Speaker 1: to win. That's a good question. I do think the

488
00:25:15,497 --> 00:25:20,377
Speaker 1: Democrats are in trouble, which is why I really hope

489
00:25:20,377 --> 00:25:23,577
Speaker 1: it's to Sciantis because the country is barely hanging on

490
00:25:23,697 --> 00:25:29,297
Speaker 1: by its fingernails right now, and to Santis is certainly

491
00:25:29,337 --> 00:25:33,577
Speaker 1: at this point, unquestionably our strongest candidate. I think the

492
00:25:33,657 --> 00:25:36,817
Speaker 1: Democrats are really other than I mean, this is why

493
00:25:36,817 --> 00:25:39,897
Speaker 1: they're bringing in all these third worlders to vote for

494
00:25:39,977 --> 00:25:43,297
Speaker 1: them in the years to come. Doesn't matter in California,

495
00:25:43,337 --> 00:25:46,937
Speaker 1: they'll elect a nut like Gavin Newsom. Get ready for that. America.

496
00:25:47,017 --> 00:25:51,097
Speaker 1: But if there are still enough sane people or you know,

497
00:25:51,217 --> 00:25:55,577
Speaker 1: slash actual Americans voting in this country, I think the

498
00:25:55,617 --> 00:25:58,097
Speaker 1: Democrats are in trouble because once they get rid of

499
00:25:58,497 --> 00:26:03,017
Speaker 1: you know, their senile dementia patients, you're getting down pretty

500
00:26:03,177 --> 00:26:08,017
Speaker 1: quickly to the woke progressive Ilhan Omars, who is a

501
00:26:08,097 --> 00:26:12,177
Speaker 1: respectable Democrat or that could win a primary? There are

502
00:26:12,217 --> 00:26:16,217
Speaker 1: a few, but they couldn't possibly win a Democratic primary?

503
00:26:16,497 --> 00:26:21,217
Speaker 1: What about Yuncan, Nicky Haley, Christy Nome? Trying to think

504
00:26:21,217 --> 00:26:24,297
Speaker 1: who else has already been talked about, as I don't

505
00:26:24,617 --> 00:26:26,017
Speaker 1: know who else thinks that they'd be running on the

506
00:26:26,057 --> 00:26:29,817
Speaker 1: Republican side. Are any of them in your mind serious

507
00:26:29,857 --> 00:26:34,777
Speaker 1: serious possibilities? No, you forgot the warmonger under Trump Pompeio.

508
00:26:35,697 --> 00:26:37,817
Speaker 1: I thought you're talking about the guy with the mustache Bolton,

509
00:26:37,857 --> 00:26:40,937
Speaker 1: because he's apparently running That would be fantastic. I do

510
00:26:41,057 --> 00:26:43,297
Speaker 1: hope they all run, because the danger would be as

511
00:26:43,297 --> 00:26:45,857
Speaker 1: if you had except I really think De Santis is

512
00:26:45,937 --> 00:26:48,737
Speaker 1: kind of standing on his own without much competition. But

513
00:26:48,777 --> 00:26:52,777
Speaker 1: I would like all of the warmongery will do nothing

514
00:26:52,817 --> 00:26:56,537
Speaker 1: about immigration, utterly useless Rhino Republicans. I'd love for a

515
00:26:56,537 --> 00:26:58,097
Speaker 1: lot of them to run. I'd love for a lot

516
00:26:58,137 --> 00:27:02,017
Speaker 1: of them to get stumps down on the one Republican,

517
00:27:02,137 --> 00:27:04,577
Speaker 1: my second favorite Republican in the country and the one

518
00:27:04,697 --> 00:27:07,897
Speaker 1: I would like De Santis to picus. His vice president

519
00:27:08,017 --> 00:27:10,617
Speaker 1: is Glenn Yuncan of Virginia. I think he's alrey good

520
00:27:11,177 --> 00:27:13,697
Speaker 1: observing him, Yeah, he's been very good so far too.

521
00:27:13,737 --> 00:27:15,497
Speaker 1: Is there anyone else on the GOP side, even in

522
00:27:15,497 --> 00:27:19,337
Speaker 1: Congress that you you find yourself more often than not

523
00:27:19,897 --> 00:27:24,217
Speaker 1: pleased with and giving giving all due kudos too for

524
00:27:24,257 --> 00:27:28,217
Speaker 1: their work. Is there anyone else who sticks out as yes? Yes? Well,

525
00:27:28,497 --> 00:27:32,857
Speaker 1: and one more governor I'll mention Greg Genfors of Montana's

526
00:27:33,017 --> 00:27:36,297
Speaker 1: he's been on fire. Kudos to him. That there's another

527
00:27:36,337 --> 00:27:39,737
Speaker 1: governor I forget her name. There's some great senators. Holly

528
00:27:39,897 --> 00:27:42,337
Speaker 1: is one of is one of my favorites, and I

529
00:27:42,737 --> 00:27:45,497
Speaker 1: and I kind of had a prejudice against him because

530
00:27:45,537 --> 00:27:48,017
Speaker 1: of that, I shouldn't even mention it. I love him,

531
00:27:48,177 --> 00:27:52,377
Speaker 1: but that's silly. Raised for salute to the January six protesters.

532
00:27:52,417 --> 00:27:55,457
Speaker 1: I thought he looked really really he looked like David Hogg,

533
00:27:55,897 --> 00:27:58,977
Speaker 1: and so I was sort of against him for about

534
00:27:59,017 --> 00:28:01,657
Speaker 1: a week. But oh my gosh, he's good. And what

535
00:28:01,857 --> 00:28:04,537
Speaker 1: his objection waters was good. You know. One of the

536
00:28:04,617 --> 00:28:06,937
Speaker 1: things that came up. One of the things I love

537
00:28:06,937 --> 00:28:09,057
Speaker 1: about him. Whatever you're saying, Oh, why does in Congress

538
00:28:09,097 --> 00:28:11,777
Speaker 1: do this? Why don't the Center do this? You look

539
00:28:11,777 --> 00:28:14,617
Speaker 1: into it. Oh, yeah, somebody's introduced a bill to do that.

540
00:28:15,057 --> 00:28:19,897
Speaker 1: It's Josh Holly. Look, it's Josh Holly again. So there

541
00:28:20,017 --> 00:28:23,097
Speaker 1: was some news I guess this week. Ron de Santis

542
00:28:23,097 --> 00:28:26,177
Speaker 1: has stopped a bunch of illegal aliens landing on the

543
00:28:26,217 --> 00:28:31,657
Speaker 1: shore of Florida, and some immigration hawks have said, yeah,

544
00:28:31,697 --> 00:28:34,817
Speaker 1: he stopped them, but he's not deporting them. Well, governors

545
00:28:34,937 --> 00:28:38,217
Speaker 1: can't deport illegals. All they can do is make it

546
00:28:38,417 --> 00:28:42,297
Speaker 1: really uncomfortable for them. All they can do is detain them.

547
00:28:42,537 --> 00:28:44,297
Speaker 1: All they can do is hold the for ice. They

548
00:28:44,377 --> 00:28:48,137
Speaker 1: can't deport illegals. Guess who was introduced to bill that

549
00:28:48,177 --> 00:28:53,137
Speaker 1: would allow governors to deport illegals. Josh Holly. Interesting. I

550
00:28:53,137 --> 00:28:56,657
Speaker 1: would just add to your point about the Florida illegals

551
00:28:56,737 --> 00:29:01,497
Speaker 1: arriving situation. The Biden White House initially put out some

552
00:29:01,577 --> 00:29:03,617
Speaker 1: statement or I think it was directly from the Biden

553
00:29:03,617 --> 00:29:07,017
Speaker 1: wet House like Kree Jean Pierre, that was criticizing this,

554
00:29:07,057 --> 00:29:10,297
Speaker 1: that it was like showboating that DeSantis was doing until

555
00:29:10,337 --> 00:29:12,897
Speaker 1: they found out that there was actually a request from

556
00:29:13,017 --> 00:29:15,577
Speaker 1: Ice for the National Guard to help, So they were,

557
00:29:15,657 --> 00:29:19,577
Speaker 1: I mean, sorry for the Florida National Guard to a sis.

558
00:29:19,577 --> 00:29:22,777
Speaker 1: So it wasn't like he was going above and beyond

559
00:29:23,097 --> 00:29:26,377
Speaker 1: his mandate. He was actually responding to request for assistance.

560
00:29:26,537 --> 00:29:28,417
Speaker 1: You mentioned Montana, though, I have to ask you because

561
00:29:28,417 --> 00:29:29,777
Speaker 1: I want to I want to get beyond just the

562
00:29:29,897 --> 00:29:33,217
Speaker 1: usual usual red meat of politics with miss Coulter. While

563
00:29:33,217 --> 00:29:36,297
Speaker 1: we've got her here. Do you watch Yellowstone? And what

564
00:29:36,337 --> 00:29:37,977
Speaker 1: do you think if you do? Are you a watcher?

565
00:29:38,457 --> 00:29:42,337
Speaker 1: I'm I'm sort of horrified to admit that I have.

566
00:29:42,657 --> 00:29:44,737
Speaker 1: I've not seen it yet, but that is the show

567
00:29:44,777 --> 00:29:47,257
Speaker 1: that all my friends keep telling me, you gotta watch,

568
00:29:47,297 --> 00:29:49,217
Speaker 1: you gotta watch, you gotta watch. But I think I

569
00:29:49,257 --> 00:29:51,177
Speaker 1: need to start at the beginning, right, I think you

570
00:29:51,257 --> 00:29:54,537
Speaker 1: have to get past the fact that you know, Bozeman

571
00:29:54,697 --> 00:29:58,017
Speaker 1: is apparently like Baghdad. There's just m fors and guys,

572
00:29:58,097 --> 00:30:00,377
Speaker 1: you know, banging it out on the street corners firing

573
00:30:00,457 --> 00:30:02,097
Speaker 1: each other all the time. There's a little bit of

574
00:30:02,377 --> 00:30:05,217
Speaker 1: a little bit of Hollywood license taken with these ranchers.

575
00:30:05,577 --> 00:30:07,857
Speaker 1: But but it is super entertaining. I mean it's a

576
00:30:08,137 --> 00:30:10,817
Speaker 1: it's a huge show, like seventeen mill people. I think

577
00:30:10,857 --> 00:30:13,937
Speaker 1: will last watch the fifth season premiere? What do What

578
00:30:14,057 --> 00:30:16,897
Speaker 1: are you? Is there anything you're watching these days? With Carrie?

579
00:30:17,017 --> 00:30:20,417
Speaker 1: I end up watching um when when it's time, when

580
00:30:20,417 --> 00:30:22,897
Speaker 1: I just wanted to, like, have you know, quiet time?

581
00:30:22,937 --> 00:30:26,137
Speaker 1: If we put on the Crown, She's asleep in five minutes.

582
00:30:26,257 --> 00:30:28,577
Speaker 1: But everyone else seems to love that show. I think

583
00:30:28,617 --> 00:30:31,137
Speaker 1: I'd probably be asleep, which is why I haven't started

584
00:30:31,177 --> 00:30:33,457
Speaker 1: to watch it. What do you watch? Are you really

585
00:30:33,497 --> 00:30:35,977
Speaker 1: just watching it? And if you're watching MSNBC, you have

586
00:30:36,057 --> 00:30:40,217
Speaker 1: to give us is anything on MSNBC worth watching other

587
00:30:40,257 --> 00:30:44,297
Speaker 1: than enjoy read? Who does have an honestly an amazing

588
00:30:44,297 --> 00:30:47,937
Speaker 1: ability And I say that and it inspires amazement that

589
00:30:48,017 --> 00:30:52,097
Speaker 1: she can turn anything like our conversation about do you

590
00:30:52,137 --> 00:30:55,977
Speaker 1: watch Yellowstone End can actually turn into some kind of

591
00:30:56,497 --> 00:31:00,097
Speaker 1: monologue on race and racism in America today. I don't

592
00:31:00,097 --> 00:31:02,137
Speaker 1: know how, but she could do it. Oh no, that

593
00:31:02,217 --> 00:31:06,097
Speaker 1: is totally proof of your and my white supremacy. Oh yeah,

594
00:31:06,857 --> 00:31:09,777
Speaker 1: to be fair, I haven't. I can't even I can't

595
00:31:09,777 --> 00:31:12,897
Speaker 1: watch MSNBC anymore. I could get a show from two

596
00:31:12,977 --> 00:31:17,777
Speaker 1: years ago, show it to you, and one from last night,

597
00:31:17,897 --> 00:31:20,937
Speaker 1: and you tell me has two years passed? In the

598
00:31:20,977 --> 00:31:24,417
Speaker 1: interim between these two shows, they all say the exact

599
00:31:24,417 --> 00:31:27,577
Speaker 1: same thing, And I mean, well, there are exciting moments

600
00:31:27,617 --> 00:31:29,737
Speaker 1: like I don't know if you knew this book, but

601
00:31:30,177 --> 00:31:33,457
Speaker 1: do you know how close we came to losing our democracy?

602
00:31:34,097 --> 00:31:37,857
Speaker 1: It's amazing there was an insurrection of unarmed people who

603
00:31:37,937 --> 00:31:42,897
Speaker 1: didn't actually engage with any kind of military force or precision.

604
00:31:43,137 --> 00:31:45,937
Speaker 1: It's kind of weird because I've actually been exposed to

605
00:31:46,257 --> 00:31:49,537
Speaker 1: what a country looks like when people do try to

606
00:31:49,577 --> 00:31:53,457
Speaker 1: overthrow the government, or when there is an active civil

607
00:31:53,497 --> 00:31:57,297
Speaker 1: war of some kind going on, sectarian warfare, and it's

608
00:31:57,617 --> 00:32:00,857
Speaker 1: very different from QAnon Shaman and a bunch of other

609
00:32:01,337 --> 00:32:06,337
Speaker 1: largely middle aged folks walking around calmly and taking photos

610
00:32:06,737 --> 00:32:08,897
Speaker 1: now martially that it is okay. I've condemned it from

611
00:32:08,897 --> 00:32:11,137
Speaker 1: the beginning. I condemned it for many reasons. One of

612
00:32:11,137 --> 00:32:14,137
Speaker 1: them was I was like, this is very stupid because

613
00:32:14,137 --> 00:32:18,257
Speaker 1: it is handing the Democrats their favorite thing in the world,

614
00:32:18,297 --> 00:32:20,057
Speaker 1: which is something that they can get the left wing

615
00:32:20,057 --> 00:32:22,457
Speaker 1: base all hysterical about for the next twenty years, and

616
00:32:22,457 --> 00:32:25,057
Speaker 1: this is but an They've said it's worse than Pearl Harvard.

617
00:32:25,097 --> 00:32:27,417
Speaker 1: They've said there are prominent Democrats who have said it

618
00:32:27,457 --> 00:32:30,897
Speaker 1: is worse than than nine to eleven. And I wonder

619
00:32:30,897 --> 00:32:33,937
Speaker 1: if we've if we've just reached it not even fun anymore.

620
00:32:34,137 --> 00:32:36,697
Speaker 1: It's not fun. Well, you know, I think there's this

621
00:32:36,777 --> 00:32:39,177
Speaker 1: concept of terminal velocity, right when you jump out of

622
00:32:39,177 --> 00:32:41,297
Speaker 1: a plane or something and you hit like the absolute

623
00:32:41,377 --> 00:32:44,217
Speaker 1: max speed and then that's just that's just the speed

624
00:32:44,257 --> 00:32:45,497
Speaker 1: you're going the rest of the way. I think that's

625
00:32:45,537 --> 00:32:47,177
Speaker 1: what terminal velocity is. I might it was like a

626
00:32:47,217 --> 00:32:50,617
Speaker 1: bad Charlie Sheen movie or one of those guys. Have

627
00:32:50,737 --> 00:32:54,137
Speaker 1: we hit like terminal stupidity over at MSNBC, Like it

628
00:32:54,217 --> 00:32:58,657
Speaker 1: can't get any dumber or any crazier. Mostly for me,

629
00:32:58,817 --> 00:33:02,817
Speaker 1: I mean dumb and crazy I love that. No, it's

630
00:33:02,977 --> 00:33:06,577
Speaker 1: it's the painful repetition. I can't there's a lot. I

631
00:33:06,697 --> 00:33:09,377
Speaker 1: can't listen to the same thing all the time. So

632
00:33:09,537 --> 00:33:11,697
Speaker 1: even I have not really been why what happened? Because

633
00:33:11,737 --> 00:33:14,577
Speaker 1: you used to get to go on and you and

634
00:33:14,777 --> 00:33:17,817
Speaker 1: and others and you know me too, back back when

635
00:33:17,857 --> 00:33:21,177
Speaker 1: this was a thing to debate people on the other side.

636
00:33:21,217 --> 00:33:23,417
Speaker 1: Have you noticed when did this happen? Where all of

637
00:33:23,457 --> 00:33:26,777
Speaker 1: a sudden, no one Now there's no looney left wingers

638
00:33:26,817 --> 00:33:29,417
Speaker 1: who will go on and have a real like throw

639
00:33:29,417 --> 00:33:31,137
Speaker 1: it out. I mean, I I'm trying to think who

640
00:33:31,137 --> 00:33:33,257
Speaker 1: were some of the like didn't you and did you?

641
00:33:33,257 --> 00:33:35,177
Speaker 1: And al Sharpe that ever debate I know you and

642
00:33:35,297 --> 00:33:41,337
Speaker 1: probably hime right completely changed. This was the introduction I

643
00:33:41,377 --> 00:33:44,577
Speaker 1: wrote to my sub stack. I mean, all of cable news.

644
00:33:44,617 --> 00:33:48,137
Speaker 1: I'm sorry. You can't just hold MSNBC as as the

645
00:33:48,217 --> 00:33:51,897
Speaker 1: only offender here. It has become more just saying the

646
00:33:52,017 --> 00:33:55,897
Speaker 1: things they think the audience wants to hear, and they

647
00:33:55,937 --> 00:34:00,097
Speaker 1: apparently think that their audiences don't want to hear intelligent

648
00:34:00,177 --> 00:34:05,017
Speaker 1: commentary or facts or history or no, they want to

649
00:34:05,057 --> 00:34:08,657
Speaker 1: be ginned up, be angry at everything. The other side

650
00:34:08,777 --> 00:34:11,817
Speaker 1: is doing and with no one there to contradict them.

651
00:34:11,857 --> 00:34:16,897
Speaker 1: I mean, this is why the American system values debate

652
00:34:17,217 --> 00:34:20,577
Speaker 1: and free speech, the idea that John Stuart mill idea

653
00:34:20,657 --> 00:34:23,217
Speaker 1: that the truth will rise in a battle for ideas,

654
00:34:23,497 --> 00:34:27,497
Speaker 1: we won't sense her particular viewpoints. Well, cable news has

655
00:34:27,537 --> 00:34:31,297
Speaker 1: just been an absolute devolution. You have learned more by

656
00:34:31,377 --> 00:34:34,177
Speaker 1: talking to the hot dog. I'm seriously, I'm not being

657
00:34:34,217 --> 00:34:36,697
Speaker 1: sarcastic to a guy selling hot dogs on the street.

658
00:34:36,857 --> 00:34:41,497
Speaker 1: And why is it just considered okay that there are politicians.

659
00:34:41,657 --> 00:34:44,297
Speaker 1: I mean Nancy Pelosi, for example, would just would never

660
00:34:44,377 --> 00:34:48,737
Speaker 1: go on Fox News or any channel other than effectively

661
00:34:48,777 --> 00:34:52,057
Speaker 1: regime media for her. I feel like that's something of

662
00:34:52,097 --> 00:34:54,537
Speaker 1: an indictment, like how hard should it be for her

663
00:34:54,697 --> 00:34:57,857
Speaker 1: to be able to go on? Sure, she'll get heat.

664
00:34:58,097 --> 00:35:01,617
Speaker 1: I remember being told by somebody who was I forget

665
00:35:01,657 --> 00:35:03,857
Speaker 1: which Fox show it was, and this is back in

666
00:35:03,857 --> 00:35:07,217
Speaker 1: the day, but one of these, one of these really

667
00:35:07,297 --> 00:35:10,097
Speaker 1: kind of radical I think it was Gosh camera the

668
00:35:10,097 --> 00:35:12,297
Speaker 1: guy's name. What are these sort of more radical Islamists

669
00:35:12,337 --> 00:35:14,697
Speaker 1: from the UK would go on? It might have been

670
00:35:14,697 --> 00:35:16,417
Speaker 1: it might have been Handy and Combs back in the

671
00:35:16,457 --> 00:35:18,697
Speaker 1: Hannity and Combs days, which you know well, and he

672
00:35:18,697 --> 00:35:20,657
Speaker 1: would say self, you know, it's like women should be

673
00:35:20,697 --> 00:35:22,617
Speaker 1: The guy had a very sort of thick British accent,

674
00:35:22,737 --> 00:35:26,017
Speaker 1: you know, women should be you know, treated like you know,

675
00:35:26,417 --> 00:35:28,577
Speaker 1: servants or slaves or whatever. And I mean a very

676
00:35:28,697 --> 00:35:31,657
Speaker 1: inflammatory stuff. And of course Sean's there and he's just like,

677
00:35:31,777 --> 00:35:33,897
Speaker 1: you know, look at this lunatic. This guy should be

678
00:35:33,897 --> 00:35:35,777
Speaker 1: on a terrorist watch list. The whole thing. I remember

679
00:35:35,777 --> 00:35:37,497
Speaker 1: when I asked somebody said, why does this guy go

680
00:35:37,537 --> 00:35:39,217
Speaker 1: on the show, and they said, no, you didn't understand.

681
00:35:39,777 --> 00:35:44,217
Speaker 1: He goes on because his supporters love it, even if

682
00:35:44,217 --> 00:35:46,697
Speaker 1: he should have called all these things that you know,

683
00:35:46,777 --> 00:35:49,697
Speaker 1: he wants somebody who's going he wants to go to battle.

684
00:35:49,737 --> 00:35:51,897
Speaker 1: They want to see him battle, right. I mean, that's

685
00:35:51,937 --> 00:35:53,937
Speaker 1: just a kind of an extreme example of it. I

686
00:35:53,977 --> 00:35:57,097
Speaker 1: feel like nobody wants to battle anymore. Everyone just retreats

687
00:35:57,137 --> 00:36:00,977
Speaker 1: to the amen corner because it's it's easy, it's lazy.

688
00:36:01,137 --> 00:36:04,857
Speaker 1: I think pretty much all cable news house on across

689
00:36:04,897 --> 00:36:07,817
Speaker 1: the board could do their TV shows in their sleep,

690
00:36:08,017 --> 00:36:11,137
Speaker 1: saying the same things over and over. Biden bad, I

691
00:36:11,177 --> 00:36:12,857
Speaker 1: mean you could. I think you could do it with

692
00:36:12,897 --> 00:36:16,457
Speaker 1: either network, switch the facts, don't tell them who did

693
00:36:16,537 --> 00:36:19,377
Speaker 1: one thing, you know, switch Biden to Trump, or Trump

694
00:36:19,417 --> 00:36:21,297
Speaker 1: to Biden, or to say and just to Biden. And

695
00:36:21,777 --> 00:36:24,577
Speaker 1: if they think it Biden did it, oh that's very very,

696
00:36:24,697 --> 00:36:28,337
Speaker 1: very bad. And they won't as you I have, well,

697
00:36:28,417 --> 00:36:31,057
Speaker 1: for example, as you and I just did saying the

698
00:36:31,097 --> 00:36:34,417
Speaker 1: whole classified document thing is kind of bs Oh, I

699
00:36:34,457 --> 00:36:39,537
Speaker 1: mean absolutely, it's It's one of these though. I think

700
00:36:39,537 --> 00:36:43,097
Speaker 1: the problem is there's a almost like an arms race

701
00:36:43,737 --> 00:36:46,497
Speaker 1: among people in the media now in particular, to do

702
00:36:46,657 --> 00:36:50,857
Speaker 1: just whatever they think gets the clicks and works, and

703
00:36:50,937 --> 00:36:53,657
Speaker 1: so there's no no one's attached anymore because it's like, well,

704
00:36:53,697 --> 00:36:56,297
Speaker 1: if I don't do it, then somebody else is going

705
00:36:56,337 --> 00:36:58,257
Speaker 1: to do it, and then I just I just lose.

706
00:36:58,297 --> 00:37:00,737
Speaker 1: And I think that's very real, by the way, And

707
00:37:00,817 --> 00:37:02,857
Speaker 1: I think that as there's less and less debate and

708
00:37:02,897 --> 00:37:05,857
Speaker 1: people aren't exposed, I mean, I will say and I

709
00:37:06,337 --> 00:37:09,657
Speaker 1: never attack people on the right publicly. See it's a

710
00:37:09,737 --> 00:37:13,577
Speaker 1: polite this thing. Ed. Even when I don't attack people

711
00:37:13,617 --> 00:37:15,897
Speaker 1: on the right publicly, you know, just because I don't

712
00:37:15,937 --> 00:37:17,617
Speaker 1: like them or I don't like something they've said. I'll

713
00:37:17,657 --> 00:37:19,537
Speaker 1: disagree with them on things, but I'm not going to say,

714
00:37:19,537 --> 00:37:22,417
Speaker 1: you know, that guy is a jackass. We've got plenty

715
00:37:22,417 --> 00:37:24,417
Speaker 1: of jackasses on the right, some of whom have very

716
00:37:24,417 --> 00:37:28,497
Speaker 1: substantial audiences. I mean, people who are not neither learned,

717
00:37:28,537 --> 00:37:31,257
Speaker 1: nor interesting nor particularly good people. When it all comes

718
00:37:31,297 --> 00:37:33,417
Speaker 1: down to it, there are far more on the left.

719
00:37:33,497 --> 00:37:36,497
Speaker 1: I mean, I may think that a vast majority I

720
00:37:36,497 --> 00:37:38,297
Speaker 1: would put in that category in the media I'm talking

721
00:37:38,337 --> 00:37:41,377
Speaker 1: about now. But on the right, I think that something

722
00:37:41,457 --> 00:37:44,217
Speaker 1: is something has kind of shifted and happened where you

723
00:37:44,257 --> 00:37:46,057
Speaker 1: don't have to be very knowledgeable, you don't have to

724
00:37:46,097 --> 00:37:48,257
Speaker 1: be a very honest person, You certainly don't have to

725
00:37:48,257 --> 00:37:51,817
Speaker 1: be a very ethical person, and yet you can do

726
00:37:51,977 --> 00:37:54,617
Speaker 1: very very well. Is that a change? Am I just

727
00:37:54,737 --> 00:37:56,737
Speaker 1: not even thinking that that's a change? Maybe I am.

728
00:37:56,777 --> 00:37:59,897
Speaker 1: I mean I haven't been No, it's absolutely a change.

729
00:37:59,977 --> 00:38:03,297
Speaker 1: It used to be. I think TV was fun back then,

730
00:38:03,337 --> 00:38:06,137
Speaker 1: and I think it was. I mean, you mentioned Hannity

731
00:38:06,177 --> 00:38:09,137
Speaker 1: and Comes. I remember in the early days of Hannity

732
00:38:09,137 --> 00:38:11,537
Speaker 1: and Comes. I mean, obviously I'm a political not I'm

733
00:38:11,537 --> 00:38:13,977
Speaker 1: really paying attention to what's going on in the world.

734
00:38:14,137 --> 00:38:15,857
Speaker 1: But maybe I was writing a book, maybe there was

735
00:38:15,857 --> 00:38:18,177
Speaker 1: an issue I hadn't followed if I wanted to hear

736
00:38:18,257 --> 00:38:21,937
Speaker 1: both sides of what the argument was, I'd turn on

737
00:38:21,977 --> 00:38:25,217
Speaker 1: Hannity and Combs. It was and I'm sure, And I

738
00:38:25,257 --> 00:38:28,657
Speaker 1: don't mean, though I probably would if I thought about it.

739
00:38:28,737 --> 00:38:32,177
Speaker 1: I don't mean specifically to dis CNN and MSNBC from

740
00:38:32,217 --> 00:38:35,257
Speaker 1: the old days. They probably had similar shows on. There

741
00:38:35,297 --> 00:38:38,777
Speaker 1: was a lot well, crossfire. I debate is good. That's

742
00:38:38,777 --> 00:38:42,057
Speaker 1: how you know if it's if it's all just people

743
00:38:42,617 --> 00:38:45,017
Speaker 1: you know, saying the same thing, and oh, you're so smart.

744
00:38:45,057 --> 00:38:47,737
Speaker 1: You make me smarter every time you come on my program,

745
00:38:47,737 --> 00:38:51,057
Speaker 1: and oh that's amazing, and there's there's no one to say,

746
00:38:51,137 --> 00:38:54,257
Speaker 1: but wait, that fact that was just mentioned isn't actually

747
00:38:54,297 --> 00:38:58,137
Speaker 1: a fact. At CNN, for example, people would say I

748
00:38:58,257 --> 00:39:00,017
Speaker 1: had this concept of I'm going to go into the

749
00:39:00,057 --> 00:39:02,417
Speaker 1: Lions dead right, and I knew by the way that

750
00:39:02,457 --> 00:39:07,497
Speaker 1: place was always hostile to me all the way on down.

751
00:39:07,537 --> 00:39:10,897
Speaker 1: I mean, I had some friend who are producers over

752
00:39:10,937 --> 00:39:13,377
Speaker 1: there and people that were decent, but overall, just the

753
00:39:13,577 --> 00:39:16,577
Speaker 1: it was institutionally hostile to conservatives. This is now twenty fourteen,

754
00:39:16,697 --> 00:39:20,737
Speaker 1: twenty fifteen, in that time period, but I remember I'd

755
00:39:20,737 --> 00:39:22,737
Speaker 1: go over there and my thinking was, well, I don't

756
00:39:22,777 --> 00:39:24,497
Speaker 1: want to let them get away with this nonsense and like,

757
00:39:24,497 --> 00:39:26,017
Speaker 1: we've got to bring the fight to the enemy. But

758
00:39:26,057 --> 00:39:28,457
Speaker 1: what you figure out when you're there is the whole

759
00:39:28,457 --> 00:39:31,257
Speaker 1: thing is completely rigged. They have the host who is

760
00:39:31,337 --> 00:39:36,297
Speaker 1: some screaming lib and they've got a you know, one

761
00:39:36,457 --> 00:39:38,817
Speaker 1: expert or something who they're going to go to first,

762
00:39:38,817 --> 00:39:40,817
Speaker 1: and then they've got a political pundit who's a Democrat.

763
00:39:40,857 --> 00:39:43,737
Speaker 1: By the way, the expert and the Democrat pundit totally

764
00:39:43,777 --> 00:39:46,257
Speaker 1: agree on everything and are like high fiving each other.

765
00:39:46,537 --> 00:39:49,577
Speaker 1: And you're gonna go last, and you're the conservative and

766
00:39:49,657 --> 00:39:53,137
Speaker 1: it's someone else's show, so you're just there to just

767
00:39:53,257 --> 00:39:55,857
Speaker 1: get punched right in the nose. That's it. You're not there.

768
00:39:55,897 --> 00:39:58,057
Speaker 1: They're not gonna let you speak, they're gonna talk over you.

769
00:39:58,137 --> 00:40:00,137
Speaker 1: I mean, I've had them just basically cut off to

770
00:40:00,177 --> 00:40:02,137
Speaker 1: commercial in the middle of me talking like they don't care.

771
00:40:02,457 --> 00:40:04,857
Speaker 1: So that's why that was part of the descent, and

772
00:40:04,937 --> 00:40:07,057
Speaker 1: now they don't even you know, it's kind of a

773
00:40:07,097 --> 00:40:09,817
Speaker 1: sad thing actually when I see conservatives now at CNN

774
00:40:10,377 --> 00:40:13,217
Speaker 1: who are doing the dance of I'm a I'm a

775
00:40:13,257 --> 00:40:15,737
Speaker 1: conservative or I'm a Republican, but all I do is

776
00:40:15,777 --> 00:40:19,617
Speaker 1: trash the right all the time on TV. I think

777
00:40:19,657 --> 00:40:21,337
Speaker 1: that's a sad thing. Like I think it's like they're

778
00:40:21,377 --> 00:40:25,857
Speaker 1: making hostage videos over there. Oh no, they're being paid

779
00:40:25,897 --> 00:40:29,697
Speaker 1: well for those to be the I'm a Republican speech.

780
00:40:31,777 --> 00:40:35,457
Speaker 1: I just don't think cable news has that much influence anymore.

781
00:40:35,497 --> 00:40:39,217
Speaker 1: I just think it's it's very a circular cocoon, the

782
00:40:39,217 --> 00:40:41,217
Speaker 1: way we used to make fun of, you know, the

783
00:40:41,297 --> 00:40:43,497
Speaker 1: New York Times. I think we're getting the same thing.

784
00:40:43,977 --> 00:40:45,857
Speaker 1: I mean, we're a country of three hundred and twenty

785
00:40:45,857 --> 00:40:49,297
Speaker 1: five million people and on a huge night, you know,

786
00:40:49,377 --> 00:40:52,497
Speaker 1: primetime cable, what they're getting a few million and it's

787
00:40:52,537 --> 00:40:56,057
Speaker 1: mostly an average age. Is what about seventy so old

788
00:40:56,097 --> 00:40:58,697
Speaker 1: people in their nursing homes can't figure out how the

789
00:40:58,737 --> 00:41:02,137
Speaker 1: remote works. But most people are online. And you know,

790
00:41:02,177 --> 00:41:04,657
Speaker 1: I just interviewed on subsack John Tierney from The New

791
00:41:04,737 --> 00:41:09,337
Speaker 1: York Times. Magnificent writer, magnificent outside the box writer. But

792
00:41:09,377 --> 00:41:11,417
Speaker 1: one of the books he wrote, which wasn't the main purpose,

793
00:41:11,457 --> 00:41:13,257
Speaker 1: but I talked to him at the end, is what's

794
00:41:13,297 --> 00:41:16,577
Speaker 1: called The Power of Bad. Very interesting book about how

795
00:41:16,857 --> 00:41:19,617
Speaker 1: when bad things that people remember criticism more than they

796
00:41:19,657 --> 00:41:22,937
Speaker 1: remember praise. A bad first interview was going to hurt

797
00:41:22,937 --> 00:41:27,377
Speaker 1: you more than a fantastic first impression, that sort of thing,

798
00:41:27,377 --> 00:41:29,577
Speaker 1: and how you can use it to your benefit. But

799
00:41:29,697 --> 00:41:32,337
Speaker 1: one of the things he mentions in the book that

800
00:41:33,377 --> 00:41:36,697
Speaker 1: I thought was kind of the headline item was that, yes,

801
00:41:36,897 --> 00:41:41,977
Speaker 1: the legacy media very very very negative. For example, their

802
00:41:42,017 --> 00:41:45,497
Speaker 1: COVID coverage. By the way, John Tierney was fantastic on COVID.

803
00:41:45,577 --> 00:41:48,897
Speaker 1: Go back and read his articles in City Journal. He's

804
00:41:48,897 --> 00:41:52,177
Speaker 1: everyone should be reading him, and he get was pointing

805
00:41:52,177 --> 00:41:55,297
Speaker 1: out all along, you're being hysterics. This is the flu.

806
00:41:55,417 --> 00:41:57,977
Speaker 1: This isn't that bad unless you're you're an old person

807
00:41:58,057 --> 00:42:00,577
Speaker 1: or you He was right, he was right, he was right.

808
00:42:01,097 --> 00:42:05,257
Speaker 1: But every night, how many did from COVID. They were

809
00:42:05,537 --> 00:42:08,577
Speaker 1: predicting two million in the next two weeks. Now, what

810
00:42:08,617 --> 00:42:10,577
Speaker 1: he said was, I'm sorry to taking a long time

811
00:42:10,617 --> 00:42:14,857
Speaker 1: to go to the main point. Social media, Twitter, Facebook,

812
00:42:14,937 --> 00:42:20,657
Speaker 1: people online, that is positive news. That is where positivity

813
00:42:20,737 --> 00:42:24,297
Speaker 1: gets rewarded. It's the old media, the legacy media, the

814
00:42:24,337 --> 00:42:27,417
Speaker 1: cable news, where it's just constantly bad news, bad news,

815
00:42:27,417 --> 00:42:29,257
Speaker 1: bad news. All right, Now, hold on a second, I've

816
00:42:29,257 --> 00:42:31,657
Speaker 1: actually got to tell everybody about something unrelated to the

817
00:42:31,657 --> 00:42:35,577
Speaker 1: current discussion. Data breaches happen all the time. The big

818
00:42:35,617 --> 00:42:37,337
Speaker 1: ones get reported on, like the one at Twitter that

819
00:42:37,377 --> 00:42:39,377
Speaker 1: occurred in the second half of twenty twenty one. We're

820
00:42:39,377 --> 00:42:41,977
Speaker 1: just learning the details now with news of some two

821
00:42:42,057 --> 00:42:44,977
Speaker 1: hundred million email addresses stolen, no password stolen, no credit

822
00:42:44,977 --> 00:42:47,617
Speaker 1: card information, but still it's enough for cyber thieves to

823
00:42:47,697 --> 00:42:49,777
Speaker 1: pretend to be you, and if your info is included

824
00:42:49,777 --> 00:42:53,417
Speaker 1: in that data breach, big problems. That's why you need LifeLock.

825
00:42:53,537 --> 00:42:57,217
Speaker 1: LifeLock gives you online identity theft protection because your personal

826
00:42:57,297 --> 00:43:00,417
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827
00:43:00,457 --> 00:43:03,737
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828
00:43:03,737 --> 00:43:05,817
Speaker 1: and they can help you be aware or if someone

829
00:43:05,857 --> 00:43:09,417
Speaker 1: steals your identity, LifeLock detects and alerts your potential identity

830
00:43:09,417 --> 00:43:11,817
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831
00:43:11,857 --> 00:43:13,857
Speaker 1: If you do become a victim of identity theft, a

832
00:43:13,977 --> 00:43:17,617
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833
00:43:17,937 --> 00:43:19,977
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834
00:43:20,017 --> 00:43:22,697
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835
00:43:22,737 --> 00:43:25,537
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836
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837
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840
00:43:36,777 --> 00:43:39,017
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841
00:43:39,017 --> 00:43:42,737
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842
00:43:42,777 --> 00:43:45,177
Speaker 1: You want this protection, trust me. I always thought Michael

843
00:43:45,217 --> 00:43:48,497
Speaker 1: Crichton was a really really smart guy, very interesting guy,

844
00:43:48,657 --> 00:43:52,817
Speaker 1: obviously one of the more successful fiction writers of his generation.

845
00:43:53,177 --> 00:43:54,617
Speaker 1: And I remember, I think it was in a Charlie

846
00:43:54,657 --> 00:43:56,977
Speaker 1: Rose interview he said this, and this really stuck, stuck,

847
00:43:57,377 --> 00:44:00,537
Speaker 1: stuck in my mind, that it's not even so much.

848
00:44:00,577 --> 00:44:02,897
Speaker 1: And this was maybe circle let's say two thousand he

849
00:44:02,977 --> 00:44:04,857
Speaker 1: said this. Bec said, it's not even that. If you

850
00:44:04,897 --> 00:44:07,577
Speaker 1: want to get attention, you have to be a catastrophist

851
00:44:07,577 --> 00:44:10,457
Speaker 1: when you're talking about anything of substance, like you want

852
00:44:10,497 --> 00:44:12,297
Speaker 1: people to pay attention, you have to say, oh my god,

853
00:44:12,617 --> 00:44:15,697
Speaker 1: everything's falling apart, everything is terrible. He said that actually

854
00:44:15,777 --> 00:44:17,937
Speaker 1: the mindset had shifted so that people were mad at you.

855
00:44:17,977 --> 00:44:19,977
Speaker 1: If you don't take that opinion it's like, what do

856
00:44:20,017 --> 00:44:22,137
Speaker 1: you mean, how can you not? And you certainly see

857
00:44:22,177 --> 00:44:25,657
Speaker 1: this with like the climate change people, and you see

858
00:44:25,657 --> 00:44:27,137
Speaker 1: this with all just a way a lot of people

859
00:44:27,217 --> 00:44:29,377
Speaker 1: try to get attention when when they're talking about the country.

860
00:44:29,417 --> 00:44:32,417
Speaker 1: So I agree that there is negativity to that end,

861
00:44:32,577 --> 00:44:35,897
Speaker 1: or too much negativity. What makes a culture feel positive

862
00:44:35,937 --> 00:44:38,857
Speaker 1: about how things are going. I know you're out at

863
00:44:38,897 --> 00:44:41,417
Speaker 1: the colleges talking to college kids all the time, and

864
00:44:41,537 --> 00:44:44,417
Speaker 1: college conservatives are the best because they've got that like

865
00:44:44,497 --> 00:44:48,777
Speaker 1: they've just discovered this reality that that they know about

866
00:44:48,897 --> 00:44:51,217
Speaker 1: and they're in the fight and they're realizing that, like

867
00:44:51,257 --> 00:44:53,777
Speaker 1: they're they're red pilled at this young age. And but

868
00:44:54,377 --> 00:44:56,457
Speaker 1: you know what gives you a sense that it's all

869
00:44:56,497 --> 00:44:59,617
Speaker 1: gonna move in the right direction somehow, some way. Well,

870
00:44:59,657 --> 00:45:03,497
Speaker 1: it is true that conservatives in a liberal environment are

871
00:45:03,577 --> 00:45:07,417
Speaker 1: generally a lot of fun. They're not just rolling into

872
00:45:07,457 --> 00:45:10,377
Speaker 1: being conservatives. Conservatives in New York City, conservat was in

873
00:45:10,457 --> 00:45:14,017
Speaker 1: Los Angeles, and conservatives on college campus as there are

874
00:45:14,057 --> 00:45:16,777
Speaker 1: a lot of fun and they're not going to back down.

875
00:45:16,937 --> 00:45:19,217
Speaker 1: They don't with a r under criticism where they'd never

876
00:45:19,297 --> 00:45:21,617
Speaker 1: be conservatives to begin with. Now, I don't think you

877
00:45:21,817 --> 00:45:24,657
Speaker 1: ought to have to be, you know, brave and strong

878
00:45:24,737 --> 00:45:28,297
Speaker 1: and courageous to speak the truth in places like college campuses.

879
00:45:28,377 --> 00:45:30,737
Speaker 1: But but you kind of do when they are I

880
00:45:30,737 --> 00:45:34,617
Speaker 1: don't know. Oddly, I am quite optimistic. It's it's probably

881
00:45:35,977 --> 00:45:39,057
Speaker 1: and you know, man, I hope these aren't famous last

882
00:45:39,097 --> 00:45:44,737
Speaker 1: words because politicians have broken my heart so many times.

883
00:45:45,097 --> 00:45:48,897
Speaker 1: But I'm I'm pretty optimistic about about Rhonda Santis. I mean,

884
00:45:48,897 --> 00:45:52,297
Speaker 1: people are living in freedom in Florida. In one of

885
00:45:52,337 --> 00:45:54,777
Speaker 1: his speeches, it may have been the inaugural speech. I

886
00:45:54,777 --> 00:45:56,897
Speaker 1: think you were there, but I've heard this. People have

887
00:45:56,977 --> 00:46:00,977
Speaker 1: said this to me in Florida, and to Santa's repeated

888
00:46:01,257 --> 00:46:06,177
Speaker 1: Europeans who left Europe, left Australia came to Florida. They

889
00:46:06,217 --> 00:46:09,097
Speaker 1: said they felt like they were leaving East Germany and

890
00:46:09,257 --> 00:46:13,497
Speaker 1: going to West Germany under communism. And and I gotta

891
00:46:13,577 --> 00:46:16,537
Speaker 1: tell you it's it is like that when I tweeted

892
00:46:16,577 --> 00:46:18,937
Speaker 1: that and it went viral, and when I left New

893
00:46:19,017 --> 00:46:24,457
Speaker 1: York during the lockdowns to go to Miami, and it

894
00:46:24,617 --> 00:46:27,137
Speaker 1: was it. I mean, people also think that that's that

895
00:46:27,177 --> 00:46:31,537
Speaker 1: was so this ows wild exaggeration. They deployed National Guard

896
00:46:31,617 --> 00:46:36,337
Speaker 1: soldiers to stand around in the airports to collect personal

897
00:46:36,377 --> 00:46:40,057
Speaker 1: information on people about an aerosolized virus. They're standing there,

898
00:46:40,097 --> 00:46:42,417
Speaker 1: you know, with their m force with no magazine in them,

899
00:46:42,417 --> 00:46:45,177
Speaker 1: just supposed to look like just to scare the virus.

900
00:46:45,217 --> 00:46:51,017
Speaker 1: And the whole thing was idiotic beyond words. And I'm

901
00:46:51,057 --> 00:46:54,657
Speaker 1: actually somebody who I refused to let this stuff go.

902
00:46:54,977 --> 00:46:57,697
Speaker 1: I don't know. I maybe that's gonna be, you know,

903
00:46:57,697 --> 00:47:01,097
Speaker 1: to my detriment, But I think it's okay what happened

904
00:47:01,097 --> 00:47:04,537
Speaker 1: at all. And I feel like rain back to Rhonda

905
00:47:04,577 --> 00:47:07,137
Speaker 1: Santis point, I have never felt like I owed a

906
00:47:07,177 --> 00:47:11,177
Speaker 1: politician a debt of gratitude before. It is hard to

907
00:47:11,217 --> 00:47:15,017
Speaker 1: explain how gratifying it was as a New Yorker, in particular,

908
00:47:15,017 --> 00:47:17,217
Speaker 1: to be able to leave in the midst of that

909
00:47:17,337 --> 00:47:20,137
Speaker 1: hellish lunacy and just go to a place where people

910
00:47:20,177 --> 00:47:21,977
Speaker 1: were just it was just like being in America again,

911
00:47:22,097 --> 00:47:25,497
Speaker 1: or what you thought was America. And yes, I think

912
00:47:25,537 --> 00:47:28,137
Speaker 1: it's kind of important than saying you I think you

913
00:47:28,137 --> 00:47:31,097
Speaker 1: should keep talking about this. I think it's important because

914
00:47:31,137 --> 00:47:33,657
Speaker 1: even though I feel optimistic, I'm not saying I'm putting

915
00:47:33,657 --> 00:47:35,417
Speaker 1: all of my hopes in him. There are other people.

916
00:47:35,457 --> 00:47:37,857
Speaker 1: There are people like you. Buck and I mean, I

917
00:47:37,857 --> 00:47:39,777
Speaker 1: guess I just throw it a quick figure, real quick end.

918
00:47:39,817 --> 00:47:42,417
Speaker 1: Will you tell everybody, just for the record that I

919
00:47:42,537 --> 00:47:47,857
Speaker 1: was so anti max masks so early that you were like, really, no,

920
00:47:48,057 --> 00:47:50,897
Speaker 1: I know you were right though. I learned something interesting

921
00:47:50,977 --> 00:47:52,817
Speaker 1: during masking. I don't know if you remember. I used

922
00:47:52,857 --> 00:47:56,137
Speaker 1: to say, no, I was from masks long before. If

923
00:47:56,137 --> 00:47:57,657
Speaker 1: I fly a lot, and I used to get a

924
00:47:57,697 --> 00:47:59,337
Speaker 1: lot of colds and i'd put a mask on, I

925
00:47:59,377 --> 00:48:02,417
Speaker 1: wasn't a dork like walking onto the plane with my mask,

926
00:48:02,497 --> 00:48:04,297
Speaker 1: but once I was seated, I would be a dork.

927
00:48:04,577 --> 00:48:06,297
Speaker 1: I'd pull it down to talk to the stewards, I'd

928
00:48:06,297 --> 00:48:07,817
Speaker 1: pull it down to go to the bathroom. And it

929
00:48:07,897 --> 00:48:10,337
Speaker 1: was only when in the wintertime when i'd hear, you know,

930
00:48:10,417 --> 00:48:14,177
Speaker 1: tuberculosis boys sitting behind me. But anyway, now I've learned

931
00:48:14,177 --> 00:48:17,657
Speaker 1: that the virus can go right through, and I assume

932
00:48:17,857 --> 00:48:20,737
Speaker 1: flew viruses too. But the reason I think it cut

933
00:48:20,737 --> 00:48:22,937
Speaker 1: down on my colds, and it definitely cut down on

934
00:48:23,017 --> 00:48:25,257
Speaker 1: my colds from doing a lot of flying, is that

935
00:48:25,257 --> 00:48:28,297
Speaker 1: when you're sitting on an airplane reading, at least, I

936
00:48:28,297 --> 00:48:31,617
Speaker 1: am constantly touching my face, constantly touching my face, so

937
00:48:31,657 --> 00:48:32,857
Speaker 1: as long as I had the mask on, it was

938
00:48:32,897 --> 00:48:35,657
Speaker 1: protecting me. But the reason I think you should continue

939
00:48:35,697 --> 00:48:39,057
Speaker 1: with the COVID stuff and I think we all owe

940
00:48:39,657 --> 00:48:43,177
Speaker 1: Ron de Santis and other sane. By the way, Glen

941
00:48:43,217 --> 00:48:47,257
Speaker 1: Youngan the one I mentioned Governor Virginia first day in office,

942
00:48:47,497 --> 00:48:50,777
Speaker 1: he ended all the mask mandates in school, it was beautiful.

943
00:48:50,817 --> 00:48:54,257
Speaker 1: I remember that it was beautiful. But I think, though

944
00:48:54,257 --> 00:48:57,297
Speaker 1: I have an optimistic personality, generally, when you look back

945
00:48:57,337 --> 00:49:01,257
Speaker 1: at history, things that have been very harmful to a society,

946
00:49:01,337 --> 00:49:06,617
Speaker 1: to a country. One is losing faith, feeling like the

947
00:49:06,657 --> 00:49:10,217
Speaker 1: country was dishonest and people couldn't be trusted. I mean,

948
00:49:10,217 --> 00:49:12,897
Speaker 1: there was the betting on that baseball game you always

949
00:49:12,937 --> 00:49:14,697
Speaker 1: hear about. Sorry, you'll have to check with Clay on

950
00:49:14,777 --> 00:49:18,817
Speaker 1: exactly what it was the team, okay. And then the

951
00:49:18,817 --> 00:49:21,737
Speaker 1: other one was there was a game show What's My

952
00:49:21,817 --> 00:49:23,777
Speaker 1: Line or something like that, and they found out that

953
00:49:23,817 --> 00:49:27,417
Speaker 1: they were shink quiz show. Yeah, it's like a game quisha.

954
00:49:27,977 --> 00:49:29,497
Speaker 1: Oh sorry, is there a movie about that? I haven't

955
00:49:29,497 --> 00:49:32,897
Speaker 1: seen them. Yes, I think it's called Quo. I'm saying, yeah, Okay.

956
00:49:32,897 --> 00:49:35,137
Speaker 1: So now we have just lived through a couple of

957
00:49:35,217 --> 00:49:41,657
Speaker 1: years where we find out Intelligence community. Intelligence officers are

958
00:49:41,937 --> 00:49:46,737
Speaker 1: big fat, stinking liars. We find out that the brass

959
00:49:46,777 --> 00:49:51,217
Speaker 1: at the FBI, big fat, stinking liars. We find out

960
00:49:51,217 --> 00:49:54,977
Speaker 1: that public health authorities big fat stinking liars. And Twitter,

961
00:49:55,577 --> 00:49:58,377
Speaker 1: where we're supposed to be able to engage in free speech,

962
00:49:58,777 --> 00:50:01,417
Speaker 1: was suppressing the free speech. I mean, it's hard to

963
00:50:01,457 --> 00:50:05,057
Speaker 1: imagine a society where there were this many attacks. The

964
00:50:05,137 --> 00:50:08,937
Speaker 1: Russian collusion thing. New York Times won the Pulitzer Prize

965
00:50:08,977 --> 00:50:12,697
Speaker 1: for that, and the whole was bs the whole thing,

966
00:50:13,137 --> 00:50:16,017
Speaker 1: So you would think that bad things would be coming

967
00:50:16,017 --> 00:50:19,017
Speaker 1: out of this. And I don't know. I mean, I

968
00:50:19,097 --> 00:50:22,057
Speaker 1: guess that's why I looked to Ronda Santis. I hope

969
00:50:22,057 --> 00:50:25,017
Speaker 1: he can turn this around. But boy, Ron de Santis

970
00:50:25,097 --> 00:50:27,617
Speaker 1: is going to have a lot on his plate. Do

971
00:50:27,657 --> 00:50:29,777
Speaker 1: you have any thoughts or opinions? And I didn't check

972
00:50:29,777 --> 00:50:31,937
Speaker 1: with that on the stuff before. And I like culter

973
00:50:32,097 --> 00:50:35,697
Speaker 1: on the fly, you know, because you never know. Sometimes

974
00:50:35,737 --> 00:50:37,497
Speaker 1: you just got to duck, you know what's gonna come

975
00:50:37,537 --> 00:50:40,897
Speaker 1: back at you. But Andrew Tate, are you familiar with

976
00:50:40,897 --> 00:50:42,937
Speaker 1: this guy any of his stuff? He's gotten a lot

977
00:50:42,937 --> 00:50:45,257
Speaker 1: of attention recently. He's in a prison in Romania. Now

978
00:50:45,297 --> 00:50:47,937
Speaker 1: do you know about this guy? Well, I've seen the name,

979
00:50:48,217 --> 00:50:50,857
Speaker 1: and because he was banned from Twitter. So this is

980
00:50:50,857 --> 00:50:53,057
Speaker 1: the bad thing about banning people and then letting them

981
00:50:53,097 --> 00:50:55,537
Speaker 1: back on. Because he was banned and let back on,

982
00:50:55,697 --> 00:51:00,057
Speaker 1: I just assumed, Oh, he's probably funny. He's probably like

983
00:51:00,177 --> 00:51:04,897
Speaker 1: Gavin McGinnis. Now i've seen more about him, and you know,

984
00:51:04,977 --> 00:51:08,577
Speaker 1: to quote my favorite movie, Doctor Strangelove, he's a deviated prever.

985
00:51:09,537 --> 00:51:11,617
Speaker 1: I actually, should I see that movie? I haven't seen

986
00:51:11,657 --> 00:51:16,017
Speaker 1: that one, Doctor Strangelove. Oh my gosh, I haven't seen it.

987
00:51:16,177 --> 00:51:17,737
Speaker 1: How to check it out? I was just wondering if

988
00:51:17,777 --> 00:51:20,697
Speaker 1: you had a By the way, Clay also recently cited

989
00:51:20,737 --> 00:51:24,617
Speaker 1: now the because we're really bringing this one back, the

990
00:51:24,737 --> 00:51:27,737
Speaker 1: cult theorem, which I remember from I believe. I'm not

991
00:51:27,777 --> 00:51:29,257
Speaker 1: sure if it was one of your books or a column,

992
00:51:29,257 --> 00:51:31,097
Speaker 1: but I do remember as the culture theorem that the

993
00:51:31,217 --> 00:51:34,617
Speaker 1: oh no, it must have been mugged liberal demagoguery from

994
00:51:35,177 --> 00:51:41,377
Speaker 1: what was the thank you where the white White Guilt

995
00:51:41,377 --> 00:51:46,417
Speaker 1: Bank shut down after OJ Because I'm wondering if we're

996
00:51:46,417 --> 00:51:48,497
Speaker 1: a headache a little bit more in that direction now,

997
00:51:48,617 --> 00:51:52,257
Speaker 1: And also the end of affirmative action in college admissions

998
00:51:52,257 --> 00:51:55,177
Speaker 1: has been That's been kind of a fascinating argument recently

999
00:51:55,217 --> 00:51:58,097
Speaker 1: to see that playing out where people are just saying, yeah,

1000
00:51:58,137 --> 00:52:02,017
Speaker 1: it's good for society if Harvard pretends that Asians as

1001
00:52:02,057 --> 00:52:06,777
Speaker 1: a matter of policy, have lacking personalities so they can

1002
00:52:06,897 --> 00:52:10,297
Speaker 1: keep them out of Ivy League schools. People are really

1003
00:52:11,337 --> 00:52:15,857
Speaker 1: always remember I just cited this in my affirmative action

1004
00:52:16,177 --> 00:52:19,897
Speaker 1: article on sub sat. Bill Gates Foundation gave a lot

1005
00:52:19,937 --> 00:52:22,857
Speaker 1: of money to researchers at Georgetown a couple of years

1006
00:52:22,857 --> 00:52:26,377
Speaker 1: ago to determine who was discriminated against the most in

1007
00:52:26,457 --> 00:52:30,057
Speaker 1: college admissions. So researchers spent some time, They got the

1008
00:52:30,177 --> 00:52:34,537
Speaker 1: colleges to give them the SATs and the admission rate

1009
00:52:34,577 --> 00:52:37,137
Speaker 1: and the race. And this was at the top two

1010
00:52:37,257 --> 00:52:41,377
Speaker 1: hundred most selective colleges, So top one hundred or two hundred,

1011
00:52:41,377 --> 00:52:45,897
Speaker 1: that's a lot of colleges and guests. Which group their

1012
00:52:45,977 --> 00:52:49,577
Speaker 1: numbers would go up most dramatically if there were no

1013
00:52:49,857 --> 00:52:52,217
Speaker 1: affirmative action, if you weren't allowed to look at race.

1014
00:52:52,617 --> 00:52:58,417
Speaker 1: I had thought it was Asians, but nope, light men.

1015
00:52:59,257 --> 00:53:04,337
Speaker 1: Really yes, I remember people poking and asking me all

1016
00:53:04,417 --> 00:53:06,537
Speaker 1: kinds of questions when I got to Ambers, which is

1017
00:53:06,537 --> 00:53:09,017
Speaker 1: a you know, one of these liberal arts colleges. But

1018
00:53:09,217 --> 00:53:12,017
Speaker 1: it's one of those plays is that thinks it's saving

1019
00:53:12,057 --> 00:53:16,377
Speaker 1: the world by getting very social justice focused. They couldn't

1020
00:53:16,417 --> 00:53:19,337
Speaker 1: believe I was a white kid with I was not

1021
00:53:19,377 --> 00:53:23,017
Speaker 1: a recruited athlete, not the son of or you know,

1022
00:53:23,057 --> 00:53:26,897
Speaker 1: not not a child of alumni a legacy, and had

1023
00:53:26,937 --> 00:53:31,137
Speaker 1: no like financial connection to the college that was That

1024
00:53:31,217 --> 00:53:34,177
Speaker 1: was a rarity for I mean because basically a lot

1025
00:53:34,217 --> 00:53:36,337
Speaker 1: of the white kids are legacies, are recruited athletes at

1026
00:53:36,337 --> 00:53:38,097
Speaker 1: those schools now, and if you don't fit into one

1027
00:53:38,137 --> 00:53:43,217
Speaker 1: of those categories, very tough, right, But even the legacies

1028
00:53:43,297 --> 00:53:48,257
Speaker 1: in defense of legacies, what we've learned about IQ it

1029
00:53:48,457 --> 00:53:51,777
Speaker 1: is at least in part genetic, there is a reversion

1030
00:53:51,817 --> 00:53:53,897
Speaker 1: to the means. So if you have really smart parents,

1031
00:53:53,977 --> 00:53:55,697
Speaker 1: the odds are the kids won't be as smart as

1032
00:53:55,697 --> 00:53:58,097
Speaker 1: the parents. If you have really dumb parents, the odds

1033
00:53:58,097 --> 00:53:59,937
Speaker 1: are the kids won't be as dumb as the parents. Yet.

1034
00:54:00,017 --> 00:54:03,697
Speaker 1: And still, if you have a group of two hundred

1035
00:54:03,737 --> 00:54:05,977
Speaker 1: kids in one room, two hundred kids in the other room,

1036
00:54:06,057 --> 00:54:08,857
Speaker 1: and you have low IQ parents in the first room

1037
00:54:08,857 --> 00:54:12,977
Speaker 1: and high the odds are the out of the two

1038
00:54:13,057 --> 00:54:15,937
Speaker 1: hundred kids with the high IQ parents they'll have the

1039
00:54:16,017 --> 00:54:18,257
Speaker 1: kids will have higher IQs. I was just named this

1040
00:54:18,337 --> 00:54:21,297
Speaker 1: today reading some New York Times article about it's just

1041
00:54:21,337 --> 00:54:24,737
Speaker 1: like throws in this BS line about well they have

1042
00:54:24,937 --> 00:54:31,457
Speaker 1: generational wealth. No, it's not generational wealth, it's generational IQ.

1043
00:54:32,377 --> 00:54:35,697
Speaker 1: Another one where Anne is saying stuff that I'm sure

1044
00:54:35,777 --> 00:54:38,577
Speaker 1: some people are going to start to get all googly,

1045
00:54:38,897 --> 00:54:42,137
Speaker 1: They're going to start googling it, being like, wait a second, look,

1046
00:54:42,177 --> 00:54:45,777
Speaker 1: I think it was the be all end all. Obviously

1047
00:54:45,817 --> 00:54:49,937
Speaker 1: they're more important qualities than in life. But to pretend

1048
00:54:50,617 --> 00:54:53,897
Speaker 1: that I'm just saying the children of legacies, if the

1049
00:54:53,977 --> 00:54:57,257
Speaker 1: legacy has got in on the basis of the basis

1050
00:54:57,297 --> 00:54:59,977
Speaker 1: of their of their SAT scores, the odds or the

1051
00:55:00,017 --> 00:55:02,497
Speaker 1: kids are gonna have decent SAT scores. It is just

1052
00:55:02,537 --> 00:55:06,417
Speaker 1: anything that involves IQ people there's like this immediately if

1053
00:55:06,417 --> 00:55:08,657
Speaker 1: you even talk about it, everyone starts to freak out.

1054
00:55:08,817 --> 00:55:10,817
Speaker 1: I think that's been a trained response for a lot

1055
00:55:10,857 --> 00:55:12,577
Speaker 1: of people for a long time. As I understand it,

1056
00:55:12,657 --> 00:55:16,577
Speaker 1: IQ is really more it's it's a general range of capacity.

1057
00:55:16,617 --> 00:55:18,537
Speaker 1: And so even within that, because I've met lots of

1058
00:55:18,737 --> 00:55:21,777
Speaker 1: I have met people in my life who have walked

1059
00:55:21,777 --> 00:55:25,377
Speaker 1: around saying you know, I'm one forty five IQ or something,

1060
00:55:25,377 --> 00:55:27,257
Speaker 1: and you're like, yeah, you're kind of a loser. So

1061
00:55:27,297 --> 00:55:30,657
Speaker 1: it doesn't you know, it can be really helpful, but

1062
00:55:32,777 --> 00:55:35,817
Speaker 1: you know, it doesn't mean that that's the only thing,

1063
00:55:35,937 --> 00:55:37,817
Speaker 1: as you said, as you rightly understand. So and if

1064
00:55:37,857 --> 00:55:40,497
Speaker 1: I gave you one last, one last moment talked to

1065
00:55:40,537 --> 00:55:42,537
Speaker 1: all the folks, obviously they should go check out your

1066
00:55:42,537 --> 00:55:46,937
Speaker 1: sub stack, which is phenomenal. I am a sub I'm

1067
00:55:46,937 --> 00:55:50,657
Speaker 1: a subscriber, full disclosure, and we're gonna get and some

1068
00:55:50,737 --> 00:55:56,057
Speaker 1: Geeza dreamsheets and anything else we're gonna tell everybody, Um, okay,

1069
00:55:56,297 --> 00:56:01,737
Speaker 1: sub stack columns. Do you want to make any wild

1070
00:56:01,737 --> 00:56:03,977
Speaker 1: predictions that we'll bring you back on to see if

1071
00:56:03,977 --> 00:56:08,777
Speaker 1: you're right? Well? Is it? DeSantis Biden twenty twenty four.

1072
00:56:09,617 --> 00:56:11,977
Speaker 1: I I tend to think, I mean, you and I

1073
00:56:12,017 --> 00:56:15,057
Speaker 1: have talked about this. I think we agree. I think

1074
00:56:15,097 --> 00:56:18,177
Speaker 1: there's a good chance Democrats do the Weekend of Bernie

1075
00:56:18,257 --> 00:56:21,817
Speaker 1: thing with Biden just because once he's gone. Look, who

1076
00:56:21,897 --> 00:56:24,217
Speaker 1: do they have that little bootage? He's doing a bang

1077
00:56:24,297 --> 00:56:29,457
Speaker 1: up job here. He's the most famous or maybe infamous

1078
00:56:29,457 --> 00:56:31,857
Speaker 1: transportation secretary of all. Like I can't even name a

1079
00:56:31,857 --> 00:56:36,377
Speaker 1: Transportation secretary. Before this guy, Oh, I can't Norman Manette.

1080
00:56:36,417 --> 00:56:40,857
Speaker 1: I hated him more, but week after week, just total disaster.

1081
00:56:41,137 --> 00:56:44,697
Speaker 1: I heard of his lodge. And every time something like

1082
00:56:44,737 --> 00:56:47,417
Speaker 1: this happens, you just think back to that picture of

1083
00:56:47,537 --> 00:56:51,977
Speaker 1: him and his husband in the hospital, rocking the baby

1084
00:56:52,097 --> 00:56:54,377
Speaker 1: as if they're nursing him. Never to go check out

1085
00:56:54,457 --> 00:56:57,457
Speaker 1: ends sub stack and we'll have you back. And next

1086
00:56:57,497 --> 00:56:59,817
Speaker 1: time I want to, I need to get deeper into

1087
00:57:00,457 --> 00:57:02,937
Speaker 1: you know what you what you like to read for fun,

1088
00:57:03,177 --> 00:57:05,417
Speaker 1: which I know you're a grateful dead person, which I

1089
00:57:05,457 --> 00:57:06,937
Speaker 1: do want to make fun of you for this because

1090
00:57:07,057 --> 00:57:09,257
Speaker 1: an I can't do it. I can't do it. I

1091
00:57:09,297 --> 00:57:13,937
Speaker 1: don't understand. But then again, I'm grumpy. I listen to anything.

1092
00:57:14,257 --> 00:57:19,257
Speaker 1: The only music I don't like is jazz. Wow. Okay,

1093
00:57:19,297 --> 00:57:21,977
Speaker 1: there's nothing classier than boring jazz, I believe, they said

1094
00:57:21,977 --> 00:57:25,697
Speaker 1: once on the office. So there's that, and Coulter with us.

1095
00:57:25,777 --> 00:57:27,457
Speaker 1: Thanks so much and great to see you. Thanks for

1096
00:57:27,497 --> 00:57:30,257
Speaker 1: making the time. Thank you great to talk to you

1097
00:57:30,257 --> 00:57:31,017
Speaker 1: about Sexton