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Speaker 1: Welcome to today's edition of The Clay Travis and Buck

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Speaker 1: Sexton Show podcast. Welcome back. Everybody's second hour of The

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Speaker 1: Clay Travis and Buck Sexton Show underway. Now, Well, I've

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Speaker 1: been talking a lot about elections. It is decision day

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Speaker 1: in Wyoming and the Alaska at least primary decision day,

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Speaker 1: and Alaska has kind of a weird primary. But yeah,

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Speaker 1: Liz Cheney's about to get the boots. So that's good news.

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Speaker 1: He's gonna get tossed out of office here soon. She

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Speaker 1: richly deserves it. But there's another election process of sorts

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Speaker 1: that has occurred that we wanted to bring to your

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Speaker 1: attention here. As you know, we've been all over the

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Speaker 1: progressive prosecutor issue really for as long as we've been

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Speaker 1: on air together, because this has led to a massive

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Speaker 1: increase lib lunatic prosecutors who just think, let criminals go free.

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Speaker 1: The criminal justice system is racist. Just don't even lock

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Speaker 1: people up, don't even charge them. One hundred arrests, no

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Speaker 1: big deal, must have had a bad day a hundred

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Speaker 1: times in a row. It's resulted in less safe cities,

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Speaker 1: It's resulted in more people being murdered, rape, robbed, assaulted.

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Speaker 1: We all see it, we know it. The numbers all

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Speaker 1: back it up. And some of the worst offenders in

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Speaker 1: the progressive prosecutor pantheon are the former now DA of

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Speaker 1: San Francisco, chess At Boudan, Brag Alvin Bragg in New

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Speaker 1: York City, Kim Fox in Chicago, and Gascone of Los Angeles.

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Speaker 1: Now there is a recall effort underway, has been a

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Speaker 1: recall effort, I have to say, underway to get rid

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Speaker 1: of Gascon in Los Angeles, after the successful recall effort

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Speaker 1: to get rid of Boudan in San Francisco, and unfortunately

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Speaker 1: the recall effort has hit a little snag clay. There's

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Speaker 1: so much going on here. This is so interesting, isn't it.

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Speaker 1: To get a recall measure on the ballot for the

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Speaker 1: upcoming election, you needed to have five hundred for the partition.

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Speaker 1: This is from the LA Registrar County Registrar. Five hundred

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Speaker 1: and sixty six thousand, eight hundred and fifty seven signatures.

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Speaker 1: Now they had over seven hundred thousand signatures to recall Gascone,

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Speaker 1: but we just find out today that only five hundred

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Speaker 1: and twenty thousand and fifty signatures were found to be

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Speaker 1: valid one hundred and ninety five thousand, seven hundred and

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Speaker 1: eighty three signatures they have said are invalid. Now this

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Speaker 1: is I've seen the reasons. There's all kinds of stuff,

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Speaker 1: and we can get into some of the what the

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Speaker 1: basis is for alleged basis for removing these signatures may be,

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Speaker 1: but Clay, a lot of people are pointed to something

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Speaker 1: right now. It's really interesting. What percentage of men in

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Speaker 1: ballots in the twenty twenty election were rejected in Los

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Speaker 1: Angeles County less than one percent, basically none. What percentage

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Speaker 1: of signatures to get this Gascon recall recall on the

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Speaker 1: ballot were rejected almost thirty percent. It's about mathematically a

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Speaker 1: sixty x when you add it all up. For every

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Speaker 1: one signature from a mail in ballot or from a

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Speaker 1: mail in ballot in general, for every one that was

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Speaker 1: rejected in twenty twenty, sixty signatures were rejected in the

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Speaker 1: Gascon effort. I have a feeling at best here they

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Speaker 1: decided to get a whole lot more strict with the

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Speaker 1: rules when it was their guy who wanted the strict rules. Yeah,

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Speaker 1: and also the idea of a written recall effort feels

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Speaker 1: really antiquated to me in a modern era right where

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Speaker 1: you're sitting and looking at re signal signature and all

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Speaker 1: of these right, we had massive issues in Michigan with

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Speaker 1: a lot of the people who wanted to be on

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Speaker 1: the ballot in Michigan. Now Tudor Dixon ended up being

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Speaker 1: the nominee. I spent a lot of time up in

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Speaker 1: Michigan and was talking to people about this, But they

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Speaker 1: had a bunch of people that they thought were going

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Speaker 1: to be leading Republican contenders for governor that weren't able

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Speaker 1: to get these signatures validated. It just seems like it's messy,

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Speaker 1: doesn't it. I mean, when you're talking about almost two

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Speaker 1: hundred thousand signatures being rejected, you're almost to the point

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Speaker 1: now where whatever ballot measure you're trying to advocate for

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Speaker 1: needs to get twice as many as the minimum number

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Speaker 1: in order to feel like you even have a chance

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Speaker 1: to get on the ballot itself. And getting gascone out

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Speaker 1: in LA is something that cuts across partisan lines in

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Speaker 1: a substantial way, much like we saw what happened down

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Speaker 1: in San Francisco with CHESSA Houdin, and you didn't mention him,

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Speaker 1: but Philadelphia, I mean, we've talked a little bit about then,

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Speaker 1: Larry Krasner. Philadelphia is on pace right now for the

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Speaker 1: deadliest and highest level shootings that have ever existed in

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Speaker 1: the history of Philadelphia, and a lot of it is

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Speaker 1: being pointed at Larry Krasner as the reason. And certainly

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Speaker 1: if you're listening to us in Los Angeles now, I've

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Speaker 1: been fortunate gotten to spend a lot of time in

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Speaker 1: LA over the years. I really liked the city of

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Speaker 1: Los Angeles. But my goodness, the amount of health and

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Speaker 1: safety and danger that has changed in the last decade

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Speaker 1: in LA is pretty significant. And we haven't talked much

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Speaker 1: about it, Buck, but they're having a big mayoral election

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Speaker 1: in Los Angeles and that's really kind of being divided

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Speaker 1: in many ways along political lines, even though both of

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Speaker 1: the final two, if I remember correctly, are both Democrats.

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Speaker 1: One of them was a long time Republican developer who

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Speaker 1: is now saying, hey, I'm a Democrat as well. Karen

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Speaker 1: Bass is on one side. And what's the guy who's

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Speaker 1: going to beat Karen Bass? Hopefully? I mean, I think

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Speaker 1: he's the more more rational and reasonable of the LA

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Speaker 1: mayoral candidates, and it would be a big win. And

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Speaker 1: he's actually been endorsed by a lot of a lot

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Speaker 1: of the people who are just fed up in Los

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Speaker 1: Angeles with the collapse that they've seen there. There's a

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Speaker 1: big point of hypocrisy here as well, because in the

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Speaker 1: Gascone recall effort. Now Gascone is up for reelection in

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Speaker 1: twenty twenty four anyway, and it is looking very unlikely

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Speaker 1: that he will be reelected because even Democrats realize, Look,

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Speaker 1: I think I sent you a photo of it this morning. Play.

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Speaker 1: I mean, I live in midtown Manhattan. I live within

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Speaker 1: a stone's throw of Time Square, right in the heart

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Speaker 1: of the city, and I walk out my front door

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Speaker 1: and there are used needles and drug baggies fifty feet

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Speaker 1: from the from the front door. I mean, this is

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Speaker 1: just what happens when you decriminalize open air drug usage.

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Speaker 1: When when all of a sudden, shooting up heroin and

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Speaker 1: broad daylight in front of children on a crowded street

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Speaker 1: is no big deal. You see a lot more of it, right,

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Speaker 1: And when you don't prosecute people that are gang members

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Speaker 1: and have you know, multiple felonies already on the record,

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Speaker 1: you don't give them a stiff sentence, they end up

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Speaker 1: shooting somebody. And that's what's happened in Krasner's Philadelphia. You know,

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Speaker 1: there were twelve people who were shot Friday night alone

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Speaker 1: in Philadelphia. And I know people say, well, some weekends

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Speaker 1: there's you know, thirty or forty shot in Chicago. Well

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Speaker 1: it's one night, and Philly is a fraction the size

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Speaker 1: of Chicago. Philadelphia is going to end up having one

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Speaker 1: of the highest murder rates in the entire country. And

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Speaker 1: it all coincides with Kami lunatic Krasner being the prosecutor

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Speaker 1: who comes in and just says, prosecuting criminals feels racist

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Speaker 1: to me, which, by the way, that that sentiment, I

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Speaker 1: would argue, is completely insane, right, because what you're effectively,

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Speaker 1: what you're claiming with all of this, is that the

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Speaker 1: disparate impact of prosecution, somehow you never take into effect

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Speaker 1: the disparate impact on the communities where this violence is occurring.

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Speaker 1: You know, are you going to side with the ninety

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Speaker 1: nine percent of minorities who are law abiding or the

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Speaker 1: one percent in certain communities who are not law abiding? Right?

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Speaker 1: But for Krasner, it's an easy decision. He's made that

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Speaker 1: decision and this is what we see. We see it.

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Speaker 1: It's spirally out of control. Well, let me clear this

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Speaker 1: up to LA. May or. Race is going to come

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Speaker 1: down to Rick Caruso, who is a former developer, billionaire

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Speaker 1: and former Republican and he's going up against Karen vast

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Speaker 1: So that's the decision that La is going to have

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Speaker 1: to make. To your point on Philadelphia and the allegations

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Speaker 1: Larry Krasner would toss out that policing is racist, I

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Speaker 1: think you destroy that argument with one analogy, and I

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Speaker 1: think it's a good one that I would encourage everybody

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Speaker 1: out there. There's my men and women violent thing. Yeah, yeah, yeah,

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Speaker 1: it's true. As soon as you ask somebody say, okay,

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Speaker 1: it's racist here because fifty people who are going to

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Speaker 1: being arrested for violent crime or black and they only

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Speaker 1: represent twelve percent of the population. Whatever it is, say, okay,

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Speaker 1: ninety seven percent of the people that are being arrested

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Speaker 1: for violent crime in America regularly, certainly well over ninety

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Speaker 1: percent in every community. You know what they are mail?

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Speaker 1: Is it sexist that police are police waging war on

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Speaker 1: men by arresting men wildly er percentages than their percentage

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Speaker 1: of population. If you took the left wing view on

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Speaker 1: this the the what's the word where misogyny is hating women? Andrew?

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Speaker 1: Is it? No? Not? It's uh, miss, what's the word

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Speaker 1: for hating men? I'm blanking on right now. I don't

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Speaker 1: even know it's there is a word, and I think

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Speaker 1: it's androw something or other. I'm forgetting right now. But anyway,

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Speaker 1: if you took the left wing argument about criminal justice

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Speaker 1: and race to apply it to gender, what you would

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Speaker 1: you would you would go through all the same iterations.

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Speaker 1: You'd say, there are so many men who are in

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Speaker 1: prison u for crimes they didn't commit, and women get

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Speaker 1: off for murders all the time. This is what has

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Speaker 1: often said, right and they would say, or miss Andrew,

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Speaker 1: I'm not sure how Miss Andrew was like, yeah, okay, okay, yeah,

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Speaker 1: And there are so many men who are in prison

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Speaker 1: who who are innocent, and beyond that, we should just

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Speaker 1: let a lot of men who are murderers out of prison,

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Speaker 1: because clearly it can't be true that there are more

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Speaker 1: men committing murders than women. Therefore, let's just empty out

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Speaker 1: the prison population of murderers and see what happens. That

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Speaker 1: is the argument that the left has engaged in just

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Speaker 1: with race instead of gender involved. And you know, you

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Speaker 1: see this playing out with kras and you see this

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Speaker 1: playing out with Gascombe. But just another thing, clay on

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Speaker 1: the process, the recall process, and how I mean here

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Speaker 1: that they're saying things like I pulled this up so

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Speaker 1: I could see exactly the reasons they got rid of

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Speaker 1: a lot folks. Almost two hundred thousand signatures found to

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Speaker 1: be invalid, right not registered. Max number of times signed

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Speaker 1: different an address, different address, thirty two thousand. That's that's

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Speaker 1: close to being the margin. You know. How you know

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Speaker 1: there were thousands of people who voted in the wrong

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Speaker 1: county in Georgia in the twenty twenty election and their

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Speaker 1: votes were counted, and they don't they don't seem to care.

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Speaker 1: Molly Molly hemingway over the Federalists that excellent work on this.

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Speaker 1: They just figure, well, they basically should count because people's

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Speaker 1: votes should count. So we're just going to ignore the rules. Notice,

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Speaker 1: the left becomes hyper focused on ways to use integrity

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Speaker 1: laws about elections or anything else when it's to their advantage,

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Speaker 1: and when it's not to their advantage, those laws are racist. Yeah,

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Speaker 1: and it's systemic racism, not just racism, systemic racism. So

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Speaker 1: I would ask all of you out there, the next

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Speaker 1: time you hear maybe it's your kids, maybe it's your

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Speaker 1: grandkids arguing the criminal justice system is systemically racist, just

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Speaker 1: set them down and say is it also systemically sexist?

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Speaker 1: And then walk through that argue with them and see

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Speaker 1: what their reaction is, because a lot of times when

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Speaker 1: people play the systemic racism card, they expect because there

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Speaker 1: is a fear in your racist If you question anything

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Speaker 1: that has to do with systemic racism allegations, just say, yeah,

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Speaker 1: you know what, In addition to being systemically racist, I

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Speaker 1: think our criminal justice system is systemically sexist because men

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Speaker 1: are overwhelmingly going to prison and it's not fair. And

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Speaker 1: just see what the reaction is. Why are police so sexist?

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Speaker 1: Why are they consistently arresting men and not arresting women?

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Speaker 1: And in order to balance things out in society, should

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Speaker 1: we just arrest fewer men for violent crimes? Should we

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Speaker 1: just Look, it's not fair. Clearly men aren't just committing

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Speaker 1: more violent crimes than women, The argument goes, so we

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Speaker 1: Access Dot or Welcome back to m clay, Travis and

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Speaker 1: Buck Sexton Show. And we are going to be joined

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Speaker 1: here shortly I believe by oh shortly, as in right

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Speaker 1: this moment. Look at that. It's like magic, Clay, I

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Speaker 1: just will it into existence. There you go. We have

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Speaker 1: Kelly Shabaka with us now. She's running for Senate up

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Speaker 1: in the great state of Alaska. Kelly, thanks for calling

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Speaker 1: and appreciate you making the time. I know it's a

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Speaker 1: big day. I'm so happy to be with you, and

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Speaker 1: thanks for making time for me. So tell us about

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Speaker 1: what everybody, not just across the country, but certainly in

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Speaker 1: your home state of Alaska's We've got a great Alaska

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Speaker 1: audience listening to this. What do they need to know

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Speaker 1: about why they should go with you as the real

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Speaker 1: Republican here over Lisa Murkowski as the fake Republican. Maybe

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Speaker 1: I just gave too much away, but go ahead. I

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Speaker 1: think you just summed it up. But here's like three

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Speaker 1: top reasons. Number one, we need someone who is going

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Speaker 1: to block all those Biden nominees that are harmful for Alaska.

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Speaker 1: Instead of having a senator who's confirmed nearly all the

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Speaker 1: radical nominees, including those leftist environmentalists who are working to

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Speaker 1: shut down our state and pursue the energy annihilating agenda

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Speaker 1: that's killing our fossil fuel industry and driving up gas prices.

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Speaker 1: Number two, we need a senator who isn't bought and

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Speaker 1: paid for by dark money from DC insiders and radical

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Speaker 1: environmentalists and big tech. Instead, have a senator who represents

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Speaker 1: our Alaska voices and won't be bullied, silenced, and controlled

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Speaker 1: by the DC insiders. And I'd say number three, we

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Speaker 1: need a senator who doesn't say one thing in Alaska

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Speaker 1: and do the opposite in DC, and instead votes for

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Speaker 1: what's in the best interests of Alaska. Like right now,

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Speaker 1: Senator Murkowski says she supports our Second Amendment interests, but

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Speaker 1: then she goes back to DC and works with Joe

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Speaker 1: Biden and the Democrats to vote for red flag laws

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Speaker 1: and she loses her NRA endorse and votes for gun control. Well,

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Speaker 1: we love our guns up here. We have to look

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Speaker 1: both ways when we walk out our side, our door

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Speaker 1: to see what Grizzly Bear is coming. So we need

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Speaker 1: a senator who just talks straight. Claire, I told you

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Speaker 1: about the grizzly bears everywhere. They really are everywhere. We're

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Speaker 1: talking to Kelly Shabaka. She is a candidate for Alaska Senate.

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Speaker 1: All right, so explain. Buck and I were trying to

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Speaker 1: make sense of this ranked choice voting system. And obviously

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Speaker 1: we are borderline intelligent on this issue, and that's probably

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Speaker 1: an exaggeration. We don't really understand it that well. So today,

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Speaker 1: is it right that there will be four people who

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Speaker 1: advance to the general election? And if you are people

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Speaker 1: are listening to us right now and they are big

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Speaker 1: supporters of yours. What's the best way to vote both

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Speaker 1: now and in November from a ranked choice perspective. I

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Speaker 1: can break it all down super simple. Today, vote Kelly,

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Speaker 1: and in November vote Kelly number one. Leave the rest

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Speaker 1: of your ballot blank. Your ballot will not be disqualified,

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Speaker 1: you won't lose your vote. And this is what's actually happened.

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Speaker 1: Project Veritas just exposed undercover videos that leaves the Murkowski

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Speaker 1: colluded with her campaign staff to deceive Alaskans and manipulate

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Speaker 1: this change in our election system, so she'd have some

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Speaker 1: kind of a limited chance of being able to maintain

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Speaker 1: the forty one year Murkowski monarchy. They hand down our

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Speaker 1: Senate seat like a birthright, but it doesn't belong to

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Speaker 1: the Murkowskis. It belongs to Alaska. So what we're doing

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Speaker 1: is fighting to get our Senate seat back in the

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Speaker 1: hands of Alaskans. She wouldn't win this primary. If it

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Speaker 1: was a party primary, her career would be done today,

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Speaker 1: but instead she wants to drag it on to November,

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Speaker 1: and I'm confident we're going to retire her. The way

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Speaker 1: that we do that is we vote Kelly number one

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Speaker 1: in November. If we get fifty percent on round one,

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Speaker 1: we win. Otherwise, what happens is Number four drops off,

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Speaker 1: Number three drops off. Their subsequent votes go and get

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Speaker 1: resorted into person one. In person two, it'll be head

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Speaker 1: to head between me and Lisa Murkowski. But I'll tell

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Speaker 1: you I've talked to thousands of Alaskans. Even common sense

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Speaker 1: Democrats are supporting us because they can't line up with

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Speaker 1: Joe Biden and Lisa Murkowski. So I think we're gonna

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Speaker 1: win this. We just have to wait to November to

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Speaker 1: do it. Okay, Kelly, that's important because a lot of

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Speaker 1: people out there listening to us right now are used

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Speaker 1: to Republican primaries and Democrat primaries. If you were running

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Speaker 1: against Lisa Murkowski today for the Republican nomination in Alaska,

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Speaker 1: you would trounce her. Right, That's absolutely correct. She knows it.

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Speaker 1: I know it. The data shows it. That's why she

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Speaker 1: had to manipulate a change in the election system so

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Speaker 1: she would survive. We're speaking to Kelly Shabaka. The primary

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Speaker 1: is today in Alaska. She's running for Senate there, and Kelly,

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Speaker 1: I see, you're a Harvard lograd from two thousand and two.

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Speaker 1: Very impressive, by the way, the decision by Murkowski to

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Speaker 1: vote to impeach Donald Trump and to maintain that she

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Speaker 1: is a Republican. Who did this? What do you think

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Speaker 1: he calculation was? Like? Who was she trying to please

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Speaker 1: with that one? What game was she playing? So when

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Speaker 1: you look at her rhetoric and the thing she's done,

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Speaker 1: I think she has a personal vendetta against Donald J. Trump,

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Speaker 1: whether he's a president or whether he's just a citizen.

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Speaker 1: The fact is it's not a constitutional to impeach somebody

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Speaker 1: who is no longer holding office as president or in

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Speaker 1: any position in the government. It's just a personal vendetta

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Speaker 1: for her. But Lisa Rakowski can't really hold herself out

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Speaker 1: as a Republican when she's voting with Chuck Schumer twenty

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Speaker 1: percent more often than she votes with Ted Cruz, and

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Speaker 1: when she's voting with Joe Biden seventy percent or more

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Speaker 1: of the time, she's often that tie breaking vote on

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Speaker 1: nominees or on legislation for Joe Biden. Just saving Kamala

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Speaker 1: the walkdown Pennsylvania Avenue. We all know up here in

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Speaker 1: Alaska that she's not a Republican. Our Republican party has

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Speaker 1: actually censured her and removed her from membership. The only

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Speaker 1: people who are still pretending she's a Republican really is

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Speaker 1: Mitch McConnell. And we can't figure out why because up

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Speaker 1: here in Alaska, she looks like a Democrat. She talks

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Speaker 1: like a Democrat, she walks like a Democrat. Her campaign

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Speaker 1: is run by Democrats and funded by Democrats. That makes you, uh,

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Speaker 1: that's right, a Democrat. She's wondering, Kelly, that's what it is.

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Speaker 1: Sarah Palin's running in a congressional race up there. Any

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Speaker 1: thoughts on that one? Just you know, she's somebody who

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Speaker 1: really put Alaska on the national political maps on years ago,

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Speaker 1: any any thoughts at all that one's going to be

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Speaker 1: a tight race. So though that's to close and finish

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Speaker 1: our vacant congressional seat from when our congressman passed away

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Speaker 1: earlier this year, and that one's going to be decided today.

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Speaker 1: And she has a very tight race with another Republican

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Speaker 1: who has been endorsed by our Republican party. So we'll

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Speaker 1: see what happens up here. They're splitting the vote and

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Speaker 1: then there's a Democrat in that race, and that's the

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Speaker 1: ring choice election, So we're going to see how that

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Speaker 1: plays out today. She's got a lot of support, but

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Speaker 1: so does her challenger, her Republican challenger. We'll see what happens. Kelly.

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Speaker 1: You got a law degree, is Buck just mentioned? I

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Speaker 1: do two, and we've talked a ton about this more

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Speaker 1: lago raid by the FBI. What was your reaction when

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Speaker 1: you heard it happened. You know something that Buck and

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Speaker 1: I share in common is our background in national security.

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Speaker 1: I spent over a decade doing oversight of THATBI. I

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Speaker 1: come from the watchdog world, so not only from my

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Speaker 1: pass as a recovering lawyer, but my past as doing

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Speaker 1: oversight of the FBI. This is very disturbing. We're seeing

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Speaker 1: that there's violation of the equal treatment of law, and

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Speaker 1: we're seeing a concern here. At least we need to

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Speaker 1: ask questions why they didn't use least intrusive means, that's

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Speaker 1: our Fourth Amendment protection. We need to ask why didn't

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Speaker 1: they have just enforced their subpoena to ask for documents

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Speaker 1: instead of going in with a warrant and invading a

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Speaker 1: home and flipping over things and looking in face and

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Speaker 1: people's clothes. These are the kind of questions we need

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Speaker 1: to ask because it looks like a politicization and weaponization

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Speaker 1: of law enforcement against political enemies and opponents. And you're

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Speaker 1: not doing that against other people who are political friends

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Speaker 1: and allies. And that's concerning. So it's time for Congress

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Speaker 1: to ask some hard questions. It's time to hold DJ

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Speaker 1: and FBI officials accountable, and there's lots of ways to

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Speaker 1: do that. Kelly, good luck today, good luck in November.

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Speaker 1: I'm sure we'll talk to you again. She is Kelly Shibaka.

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Speaker 1: She is running for the Alaskan Senate seat that is

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Speaker 1: currently occupied by Lisa Murkowski. Thank you for the time, Thanks,

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Speaker 1: and I make Kelly for Ak dot com. If people

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Speaker 1: Welcome on our number three Clay Travis Buck Sexton Show.

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Speaker 1: Appreciate all of you hanging out with us. Encourage you

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Speaker 1: such as the one we're about to have with Alex Berenson. Alex,

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Speaker 1: when we were having you on last year and you

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Speaker 1: considered to be unacceptable. The White House was furious. And

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Speaker 1: this is where I want to start with you. On

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Speaker 1: your sub stack. You have a story up. You have

428
00:24:30,840 --> 00:24:34,919
Speaker 1: written documentation that the White House, in meetings with Twitter,

429
00:24:35,440 --> 00:24:38,680
Speaker 1: demanded that you no longer be able to share your

430
00:24:38,720 --> 00:24:42,800
Speaker 1: opinions on social media because the White House considered it

431
00:24:42,840 --> 00:24:47,640
Speaker 1: to be disinformation. Misinformation however you want to classify it

432
00:24:48,080 --> 00:24:50,879
Speaker 1: for people who don't know exactly what happened, what happened

433
00:24:50,880 --> 00:24:55,479
Speaker 1: and what was the impact of that White House activity, Well,

434
00:24:55,520 --> 00:24:58,040
Speaker 1: I think the short answers were I'm still I'm still

435
00:24:58,080 --> 00:25:01,240
Speaker 1: investigating that, I'm still finding that out. But what happened

436
00:25:01,280 --> 00:25:04,080
Speaker 1: that you know, that I know for certain is that

437
00:25:04,600 --> 00:25:08,760
Speaker 1: last August, Twitter banned me, and they had sort of

438
00:25:08,760 --> 00:25:11,639
Speaker 1: been ratcheting up the pressure on me starting in mid

439
00:25:11,760 --> 00:25:14,600
Speaker 1: July of last year July twenty twenty one, I've been

440
00:25:14,640 --> 00:25:18,119
Speaker 1: a pretty popular Twitter user, probably one of the more

441
00:25:18,160 --> 00:25:23,119
Speaker 1: prominent skeptics, first about lockdown and you know, in school

442
00:25:23,119 --> 00:25:25,560
Speaker 1: closures and stuff like that in twenty twenty, and then

443
00:25:25,680 --> 00:25:28,800
Speaker 1: raising questions about the vaccine I think, you know, and

444
00:25:29,080 --> 00:25:30,680
Speaker 1: I would say it was raising them in a very

445
00:25:30,760 --> 00:25:36,080
Speaker 1: data driven, measured way. But they clearly didn't like that.

446
00:25:36,160 --> 00:25:39,919
Speaker 1: People in the public health community didn't like that. Democratic

447
00:25:39,960 --> 00:25:44,840
Speaker 1: politicians didn't like that. Journalists didn't like that, and so

448
00:25:45,400 --> 00:25:49,080
Speaker 1: and yet Twitter, um, you know, for most of twenty

449
00:25:49,119 --> 00:25:52,360
Speaker 1: twenty and early twenty twenty one told me suppecily, we

450
00:25:52,440 --> 00:25:55,359
Speaker 1: have your back. Basically, we know what you're doing, we

451
00:25:55,440 --> 00:26:01,119
Speaker 1: think it's okay. So at some point late spring or

452
00:26:01,119 --> 00:26:05,080
Speaker 1: summer of twenty twenty one, that changed, and it changed

453
00:26:05,200 --> 00:26:08,199
Speaker 1: very publicly for me. In July of twenty twenty one,

454
00:26:08,240 --> 00:26:10,280
Speaker 1: they'd banned me or locking me out of my account

455
00:26:10,320 --> 00:26:14,359
Speaker 1: for the first time after President Biden said he didn't

456
00:26:14,400 --> 00:26:16,800
Speaker 1: mentioned me, but he said, you know, these social media

457
00:26:16,840 --> 00:26:20,960
Speaker 1: platforms are killing people. So that led me to sue

458
00:26:21,000 --> 00:26:26,000
Speaker 1: Twitter in in December twenty twenty one, saying, look, you

459
00:26:26,000 --> 00:26:28,880
Speaker 1: guys stanned me in August. That was wrong. I didn't

460
00:26:28,880 --> 00:26:33,040
Speaker 1: do anything wrong. You know, you made these representations to me,

461
00:26:33,560 --> 00:26:36,400
Speaker 1: and you're violating your own you know, contract with me,

462
00:26:36,480 --> 00:26:39,240
Speaker 1: and you're violating my First Amendment rights. You're acting, you know,

463
00:26:39,280 --> 00:26:41,840
Speaker 1: on behalf of the state, you know, by state and

464
00:26:41,960 --> 00:26:46,760
Speaker 1: ey federal government. Okay. In April of this year, a

465
00:26:46,800 --> 00:26:50,119
Speaker 1: couple months ago, a judge, a federal judge in California,

466
00:26:50,240 --> 00:26:53,600
Speaker 1: said I had a viable claim that I had proven

467
00:26:54,119 --> 00:26:59,000
Speaker 1: or at least stated plausively that Twitter had indeed violated

468
00:26:59,040 --> 00:27:02,399
Speaker 1: its terms of service US with me. That led to

469
00:27:02,600 --> 00:27:07,840
Speaker 1: settlement negotiations between me and Twitter in July, a month ago,

470
00:27:08,160 --> 00:27:10,800
Speaker 1: Twitter put me back on the platform and acknowledge that

471
00:27:11,080 --> 00:27:15,760
Speaker 1: it shouldn't have taken me off. So that was where

472
00:27:15,800 --> 00:27:18,320
Speaker 1: we were until a couple of days ago. A couple

473
00:27:18,359 --> 00:27:20,679
Speaker 1: of days ago, I posted these documents. And what the

474
00:27:20,720 --> 00:27:25,160
Speaker 1: documents show is that in April of twenty twenty one,

475
00:27:25,560 --> 00:27:30,800
Speaker 1: before I became under public pressure, the White House appears

476
00:27:30,840 --> 00:27:35,399
Speaker 1: to have specifically targeted me with Twitter. They went to

477
00:27:35,800 --> 00:27:37,920
Speaker 1: they had a meeting at the White House, and nobody's

478
00:27:38,080 --> 00:27:41,480
Speaker 1: suiting the authenticity of these documents. And after the meeting,

479
00:27:41,920 --> 00:27:45,200
Speaker 1: Twitter people said to each other internally they were very

480
00:27:45,240 --> 00:27:47,920
Speaker 1: interested in now experiencing They wanted to know why he's

481
00:27:47,920 --> 00:27:52,280
Speaker 1: still on the platform. So that gives me a viable

482
00:27:52,320 --> 00:27:54,679
Speaker 1: claim to sue the White House and to sue a

483
00:27:54,680 --> 00:27:56,800
Speaker 1: guy named Andy Flavitt, who at the time was the

484
00:27:56,880 --> 00:28:01,320
Speaker 1: COVID an advisor to the COVID response team, who has

485
00:28:01,359 --> 00:28:03,320
Speaker 1: you know, who's sort of been very prominent in the

486
00:28:03,359 --> 00:28:06,480
Speaker 1: Democratic response to COVID, but he was working in the

487
00:28:06,520 --> 00:28:09,199
Speaker 1: White House at that time, and he's specifically mentioned in

488
00:28:09,240 --> 00:28:11,639
Speaker 1: these documents and say, look, you guys tried to use

489
00:28:11,680 --> 00:28:15,480
Speaker 1: the power of the schedual government against me. Specifically, you

490
00:28:15,600 --> 00:28:18,879
Speaker 1: leaned on Twitter and four months later Twitter banded me.

491
00:28:19,040 --> 00:28:21,880
Speaker 1: So I'm gonna so I need to know how that happened.

492
00:28:22,119 --> 00:28:24,199
Speaker 1: I need to know how you silenced me. I have

493
00:28:24,200 --> 00:28:26,520
Speaker 1: a right, as at first, you know, as an American citizen,

494
00:28:26,640 --> 00:28:30,320
Speaker 1: to the First Amendment to speak, to beak publicly. Twitter

495
00:28:30,480 --> 00:28:33,440
Speaker 1: is a very very important platform. You obviously knew that

496
00:28:33,640 --> 00:28:36,760
Speaker 1: you wanted me off what happened. So I'm going to sue,

497
00:28:37,359 --> 00:28:39,520
Speaker 1: you know, the White House, and I'm gonna sue Slavitt

498
00:28:39,880 --> 00:28:44,040
Speaker 1: and we'll see what happened. Speaking Alex Berenson, he has

499
00:28:44,080 --> 00:28:46,680
Speaker 1: a sub stack which you should all check out. And

500
00:28:46,760 --> 00:28:50,200
Speaker 1: also his book is Pandemia. Alex, I didn't I want

501
00:28:50,240 --> 00:28:52,200
Speaker 1: to ask you about COVID because Clay and I have

502
00:28:52,360 --> 00:28:55,200
Speaker 1: just been First of all, as we know, doctor Jill Biden,

503
00:28:55,640 --> 00:28:57,320
Speaker 1: what was your line cloud on Twitter? Not a good

504
00:28:57,360 --> 00:29:00,440
Speaker 1: enough doctor to avoid COVID? You know, think have taken

505
00:29:00,480 --> 00:29:04,400
Speaker 1: it more serious? Would have gotten five shots? This with

506
00:29:04,800 --> 00:29:08,720
Speaker 1: Boor Law and the other the CEO of Moderna bemoaning

507
00:29:08,760 --> 00:29:13,800
Speaker 1: the disposal of thirty million shots because nobody wants them.

508
00:29:13,840 --> 00:29:16,880
Speaker 1: It feels like the whole thing is collapsing. Is there

509
00:29:16,920 --> 00:29:20,320
Speaker 1: even any good evidence at this point to suggest that

510
00:29:20,400 --> 00:29:24,840
Speaker 1: if someone got their booster six months ago, let's say

511
00:29:25,080 --> 00:29:30,800
Speaker 1: they are any more protected than anybody else. Oh, absolutely not. No,

512
00:29:31,000 --> 00:29:35,080
Speaker 1: six months ago, No against omicron. No, you probably are

513
00:29:35,120 --> 00:29:40,240
Speaker 1: in higher risk in infection. Uh. You the booster seems

514
00:29:40,280 --> 00:29:44,960
Speaker 1: to work for somewhere between two and six weeks against omicron. Uh.

515
00:29:45,240 --> 00:29:48,240
Speaker 1: That's about it. No, here's here's the you know. The

516
00:29:49,120 --> 00:29:53,000
Speaker 1: punchline is, Yeah, Maderna is dumping thirty million doses. The

517
00:29:53,120 --> 00:29:55,680
Speaker 1: US government is spending almost two billion dollars to buy

518
00:29:55,720 --> 00:29:58,680
Speaker 1: sixty six million boosters from them, and three billion to

519
00:29:58,720 --> 00:30:02,520
Speaker 1: buy another one hundred million boosters from Fiser. We are

520
00:30:02,600 --> 00:30:05,719
Speaker 1: reloading with shots that are nobody's gonna want that, we're

521
00:30:05,720 --> 00:30:08,600
Speaker 1: sending five billion dollars off. Can I just ask, Alex,

522
00:30:08,720 --> 00:30:11,880
Speaker 1: is this an even bigger failure than a year ago

523
00:30:11,960 --> 00:30:14,240
Speaker 1: we were having you on? And I might add to

524
00:30:14,320 --> 00:30:16,760
Speaker 1: some considerable heat that Clay and I got for this,

525
00:30:16,920 --> 00:30:19,719
Speaker 1: including from other people on the right. I think Alex

526
00:30:19,840 --> 00:30:22,320
Speaker 1: is going too far on the vaccines. I think Alex

527
00:30:22,440 --> 00:30:24,080
Speaker 1: is you know, he's lost it on this one. Even

528
00:30:24,120 --> 00:30:27,120
Speaker 1: some people that were open to you know, your initial research.

529
00:30:27,840 --> 00:30:31,480
Speaker 1: Is this even more of a collapse of the vaccine

530
00:30:31,640 --> 00:30:38,640
Speaker 1: biden mandate regime than you had anticipated. God, I mean,

531
00:30:39,720 --> 00:30:41,680
Speaker 1: you know, on the one hand, yes, On the other hand, people,

532
00:30:41,760 --> 00:30:45,280
Speaker 1: So there's sort of two things happening. Right. Everybody knows, right,

533
00:30:45,480 --> 00:30:49,680
Speaker 1: everybody knows that the vaccines don't really work right at best,

534
00:30:49,720 --> 00:30:51,480
Speaker 1: and that's why people won't get We talked about this

535
00:30:51,520 --> 00:30:53,120
Speaker 1: in the past. That's why people are not getting their

536
00:30:53,200 --> 00:30:57,040
Speaker 1: kids vaccinated. That's why vaccine demand has collapsed. On the

537
00:30:57,080 --> 00:30:59,520
Speaker 1: other hand, you still have to sort of I mean

538
00:30:59,560 --> 00:31:02,080
Speaker 1: I don't and you don't, but people will still sort

539
00:31:02,120 --> 00:31:04,760
Speaker 1: of throw out. But they do protect against severe disease

540
00:31:04,800 --> 00:31:09,160
Speaker 1: and death, and frankly, for that at this point is

541
00:31:09,240 --> 00:31:11,560
Speaker 1: essentially close to nail if you really know what the

542
00:31:11,680 --> 00:31:16,480
Speaker 1: data says. Um so, so, I mean, I guess, I

543
00:31:16,480 --> 00:31:18,400
Speaker 1: guess we don't even need to have that fight, though.

544
00:31:18,440 --> 00:31:22,480
Speaker 1: I guess you're right. As long as nobody's getting the shots.

545
00:31:23,120 --> 00:31:27,240
Speaker 1: That's that's people knowing the truth, whether they want to

546
00:31:27,280 --> 00:31:30,520
Speaker 1: talk about it or not. You know, But Alex, I

547
00:31:30,600 --> 00:31:33,800
Speaker 1: actually think that you just mentioned that we're going to

548
00:31:33,840 --> 00:31:36,360
Speaker 1: spend five billion dollars on a lot of boosters that

549
00:31:36,400 --> 00:31:40,120
Speaker 1: nobody wants. And I'm sure you've seen the articles about

550
00:31:40,160 --> 00:31:44,760
Speaker 1: the Maderna executives who are buying multimillion dollar estates and

551
00:31:44,960 --> 00:31:48,680
Speaker 1: fancy housing. Certainly that's happening at Visor as well. With

552
00:31:48,720 --> 00:31:52,040
Speaker 1: what they're paying these top people. I think we do

553
00:31:52,120 --> 00:31:55,600
Speaker 1: need some sort of recompense here. And I know, and

554
00:31:55,720 --> 00:31:57,800
Speaker 1: this has been something that you've talked about and we've

555
00:31:57,800 --> 00:32:02,400
Speaker 1: hammered on this show. Right now, you can't sue over

556
00:32:02,520 --> 00:32:05,960
Speaker 1: anything that go wrong with these shots, which should have

557
00:32:05,960 --> 00:32:08,080
Speaker 1: been terrifying in the first place for anybody out there

558
00:32:08,120 --> 00:32:12,880
Speaker 1: thinking about taking them. But shouldn't there be some investigations,

559
00:32:12,920 --> 00:32:15,720
Speaker 1: like if the Republicans take the House and maybe the Senate,

560
00:32:15,720 --> 00:32:18,240
Speaker 1: but certainly the House at a minimum, shouldn't we have

561
00:32:18,280 --> 00:32:21,400
Speaker 1: a real investigation into how this money got spent the failure,

562
00:32:21,480 --> 00:32:25,360
Speaker 1: And frankly, I think that there should be potentially criminal

563
00:32:25,400 --> 00:32:27,959
Speaker 1: investigations because it seems quite clear, and I'm curious if

564
00:32:28,000 --> 00:32:31,360
Speaker 1: you agree with this. It seems quite clear that we

565
00:32:31,360 --> 00:32:35,560
Speaker 1: were fraudulently induced to take these shots, and that there

566
00:32:35,600 --> 00:32:39,720
Speaker 1: has to be substantial evidence of fraud inside of Maderna

567
00:32:39,760 --> 00:32:42,800
Speaker 1: and Fizer over the fact that these things were not

568
00:32:43,000 --> 00:32:46,400
Speaker 1: working while they were getting people fired for refusing to

569
00:32:46,440 --> 00:32:48,400
Speaker 1: take them, right, I feel like there needs to be

570
00:32:48,880 --> 00:32:52,440
Speaker 1: some consequence other than everybody just says, Haha, these don't work,

571
00:32:52,440 --> 00:32:54,520
Speaker 1: we're not going to take them anymore. Well, they're still

572
00:32:54,560 --> 00:32:57,280
Speaker 1: making billions of dollars and people still lost their jobs.

573
00:32:58,440 --> 00:33:01,920
Speaker 1: So look, I mean, we need to investigate whether or

574
00:33:01,920 --> 00:33:04,760
Speaker 1: not there was criminal behavior or anything like that. I'm

575
00:33:04,840 --> 00:33:07,720
Speaker 1: sort of not prepared to go there at this point.

576
00:33:08,640 --> 00:33:10,400
Speaker 1: Here's where you have to remember last year that this

577
00:33:10,560 --> 00:33:15,360
Speaker 1: collapse happened extremely fast, the collapse of vaccine efficacy. Okay,

578
00:33:15,360 --> 00:33:19,960
Speaker 1: these vaccines were only invented in the spring of twenty twenty.

579
00:33:20,120 --> 00:33:22,960
Speaker 1: They were only put into people's arms beginning in the

580
00:33:23,000 --> 00:33:26,360
Speaker 1: summer of twenty twenty. By November, it was suddenly they

581
00:33:26,360 --> 00:33:29,360
Speaker 1: were a miracle. Okay, So the companies were only a

582
00:33:29,400 --> 00:33:32,600
Speaker 1: few weeks or months, a couple months and most ahead

583
00:33:32,960 --> 00:33:36,240
Speaker 1: of everybody else. The reason that I know, the reason

584
00:33:36,320 --> 00:33:40,760
Speaker 1: that like I, you know, was so loud in sounding

585
00:33:40,760 --> 00:33:44,680
Speaker 1: the alarm in the spring of twenty twenty wasn't that

586
00:33:44,720 --> 00:33:46,880
Speaker 1: I knew something was wrong. Is that I knew that

587
00:33:46,880 --> 00:33:50,480
Speaker 1: the data wasn't there to support what the companies were saying.

588
00:33:50,520 --> 00:33:52,240
Speaker 1: But it wasn't just the companies, it was the public

589
00:33:52,240 --> 00:33:55,480
Speaker 1: health authorities, and then over the summer it became clear

590
00:33:55,560 --> 00:33:59,680
Speaker 1: that efficacy was going to collapse much faster than people thought,

591
00:33:59,720 --> 00:34:02,160
Speaker 1: and became clear out of data, because of data out

592
00:34:02,160 --> 00:34:06,320
Speaker 1: of Israel. The crime here, I mean, and crime is

593
00:34:06,360 --> 00:34:08,799
Speaker 1: sort of the wrong word, but let's say crime. The

594
00:34:08,920 --> 00:34:12,439
Speaker 1: crime here isn't what we know. It's that we don't

595
00:34:12,600 --> 00:34:15,480
Speaker 1: know what we don't know. And the companies haven't been

596
00:34:15,480 --> 00:34:18,520
Speaker 1: forced to collect the data properly. They haven't been forced.

597
00:34:19,520 --> 00:34:21,239
Speaker 1: So there's a study that came out a couple of

598
00:34:21,280 --> 00:34:24,600
Speaker 1: days ago showing that the vaccine seemed to have some

599
00:34:24,680 --> 00:34:28,960
Speaker 1: heart impact on a lot of teenagers. Okay, out of Thailand.

600
00:34:29,400 --> 00:34:32,719
Speaker 1: Now we already knew that myo Kardiitisan chartdis are risk

601
00:34:33,080 --> 00:34:37,560
Speaker 1: for young people who get these shots. Okay, this study

602
00:34:37,960 --> 00:34:40,799
Speaker 1: wasn't that big, It wasn't definitive, but you know, it

603
00:34:40,880 --> 00:34:44,400
Speaker 1: adds to the questions about whether or not any teenager

604
00:34:44,480 --> 00:34:47,880
Speaker 1: or any young adults should be getting the shots. That's good.

605
00:34:48,560 --> 00:34:51,279
Speaker 1: Why was this done, you know, you know, out of

606
00:34:51,320 --> 00:34:55,080
Speaker 1: a time military hospital. Why wasn't Maturner required to do

607
00:34:55,160 --> 00:34:58,400
Speaker 1: this last year? Why didn't the NIH do this itself

608
00:34:58,480 --> 00:35:01,319
Speaker 1: last year. Why why are we spending a billion dollars

609
00:35:01,400 --> 00:35:04,840
Speaker 1: plus on long COVID, which, which I will continue to

610
00:35:04,880 --> 00:35:07,600
Speaker 1: insist at the end of my days, is basically non existent.

611
00:35:08,160 --> 00:35:11,080
Speaker 1: And you know it's it's it's yet another sort of

612
00:35:11,120 --> 00:35:16,320
Speaker 1: like made up syndrome looking for insurance dollars and drug

613
00:35:16,360 --> 00:35:19,080
Speaker 1: company dollars. I mean, yeah, and sympathy online. By the way,

614
00:35:19,080 --> 00:35:21,160
Speaker 1: people love to talk about, oh, my long COVID, and

615
00:35:21,160 --> 00:35:22,920
Speaker 1: then they get all the comments about I'll be brave

616
00:35:23,000 --> 00:35:25,359
Speaker 1: push through your long COVID, as in, you know you're

617
00:35:25,360 --> 00:35:29,520
Speaker 1: a little depressed m alex before I let you go. Lastly,

618
00:35:29,640 --> 00:35:32,120
Speaker 1: but why why don't we why didn't we spend the

619
00:35:32,160 --> 00:35:34,600
Speaker 1: money to figure out about myralkroditis? Yeah, we don't want

620
00:35:34,600 --> 00:35:37,040
Speaker 1: any answers here. I mean, you know Fauci's is going

621
00:35:37,080 --> 00:35:39,520
Speaker 1: around dressed like a hipster talking about the Faucci effect.

622
00:35:39,560 --> 00:35:42,240
Speaker 1: I mean, anybody who still believes that guy is anything

623
00:35:42,320 --> 00:35:45,520
Speaker 1: works anything other than the worst public health official in

624
00:35:45,520 --> 00:35:48,200
Speaker 1: the history I think of the modern world, is out

625
00:35:48,200 --> 00:35:50,400
Speaker 1: of their minds. But I did want to ask you

626
00:35:50,600 --> 00:35:52,359
Speaker 1: quickly because you alluded to this and I saw some

627
00:35:52,360 --> 00:35:54,279
Speaker 1: study out of Iceland. I don't know if it's you know,

628
00:35:54,400 --> 00:35:57,080
Speaker 1: real deal. I know you read all the studies that

629
00:35:57,160 --> 00:36:01,799
Speaker 1: suggests negative efficacy, as in, there is a concern that

630
00:36:01,840 --> 00:36:05,600
Speaker 1: you could be more likely to contract a strain of

631
00:36:05,640 --> 00:36:09,320
Speaker 1: COVID based on if you've gotten X number of shots.

632
00:36:09,480 --> 00:36:11,600
Speaker 1: Is where are we on that? Is there a real

633
00:36:11,719 --> 00:36:15,320
Speaker 1: data to support negative efficacy? I've read the other some study,

634
00:36:15,360 --> 00:36:17,600
Speaker 1: it's real, it's good. It's a national level study from

635
00:36:17,600 --> 00:36:20,359
Speaker 1: a rich country that a smart scientists. Yeah, what that

636
00:36:20,400 --> 00:36:23,200
Speaker 1: says is if you were infected and then vaccinated, you

637
00:36:23,200 --> 00:36:25,040
Speaker 1: have a better chance of getting COVID than if you're

638
00:36:25,080 --> 00:36:29,479
Speaker 1: infected and did not get vaccinated. I mean, it's really

639
00:36:29,520 --> 00:36:33,000
Speaker 1: amazing how bad the vaccines are turning out to be.

640
00:36:33,719 --> 00:36:36,879
Speaker 1: But this is what happens when you rush a technology

641
00:36:36,960 --> 00:36:39,920
Speaker 1: that basically didn't exist and put it in a billion

642
00:36:39,960 --> 00:36:43,279
Speaker 1: people after a couple of months of research. It's a

643
00:36:43,320 --> 00:36:46,840
Speaker 1: bad idea and we would have been lucky, very lucky

644
00:36:47,040 --> 00:36:49,320
Speaker 1: if none of this had happened. Instead, we're just getting

645
00:36:49,320 --> 00:36:51,920
Speaker 1: what you would expect. And by one last thing, I know,

646
00:36:51,960 --> 00:36:53,200
Speaker 1: I got to go. I know you guys are sure

647
00:36:53,239 --> 00:36:56,680
Speaker 1: on time. The all cosmortality numbers are bad. They are

648
00:36:56,760 --> 00:36:59,080
Speaker 1: bad all over the world. In the MR and a countryes.

649
00:36:59,160 --> 00:37:02,120
Speaker 1: What I mean is for months now in the UK,

650
00:37:02,719 --> 00:37:05,160
Speaker 1: in Australia, in Germany and a lot of countries that

651
00:37:05,200 --> 00:37:08,200
Speaker 1: collect data better than we do, they're seeing a rise

652
00:37:08,280 --> 00:37:11,200
Speaker 1: in overall death counts, not a huge rise, but a

653
00:37:11,280 --> 00:37:15,759
Speaker 1: five ten percent rise in non COVID deaths. That that

654
00:37:15,920 --> 00:37:19,399
Speaker 1: is strikingly correlated to the you know, to the mass

655
00:37:19,480 --> 00:37:24,320
Speaker 1: vaccination care and and alex isn't that also even younger

656
00:37:24,360 --> 00:37:27,480
Speaker 1: people right like eighteen to forty nine, you're seeing some

657
00:37:27,520 --> 00:37:30,839
Speaker 1: of the highest increases in you know, sort of unexplained

658
00:37:30,880 --> 00:37:35,080
Speaker 1: death relative to expectations. So that's gotten thrown around a

659
00:37:35,080 --> 00:37:38,600
Speaker 1: lot because there's this one insurance company, uh, you know, Executi.

660
00:37:38,600 --> 00:37:40,719
Speaker 1: If we talked about that, it's not actually clear to

661
00:37:40,760 --> 00:37:42,919
Speaker 1: me that that's true. Although actually in the next few

662
00:37:42,960 --> 00:37:44,799
Speaker 1: minutes I'm going to have a subspect that people are

663
00:37:44,840 --> 00:37:48,120
Speaker 1: gonna that's gonna strike people about some data out of

664
00:37:48,160 --> 00:37:53,279
Speaker 1: New Zealand. Um. So, so look, older people die it

665
00:37:53,440 --> 00:37:55,759
Speaker 1: much much higher rates than younger people, so you can

666
00:37:55,800 --> 00:37:58,719
Speaker 1: see it more clearly and there's less statistical noise. But

667
00:37:58,800 --> 00:38:00,960
Speaker 1: when you when you look around the world, this is

668
00:38:00,960 --> 00:38:03,799
Speaker 1: something that we should be talking about that but how

669
00:38:03,840 --> 00:38:05,759
Speaker 1: are the public health parties going to admit this? If

670
00:38:05,760 --> 00:38:08,799
Speaker 1: it's a problem, that's how do they admit? Hey, you know,

671
00:38:09,160 --> 00:38:14,239
Speaker 1: maybe we caused a five percent increase in overall death worldwide. Man,

672
00:38:14,320 --> 00:38:17,480
Speaker 1: go check out Alex's substack. Everybody subscribed to its support

673
00:38:17,560 --> 00:38:19,719
Speaker 1: his work. Pick up a copy of Pandemia Alex. You

674
00:38:19,719 --> 00:38:22,800
Speaker 1: know we'll have you back soon. Thanks so much. Thanks guys.

675
00:38:24,160 --> 00:38:26,560
Speaker 1: Will we see the stock market respond well to quarter

676
00:38:26,600 --> 00:38:28,920
Speaker 1: of the earnings coming out this week from places like

677
00:38:28,960 --> 00:38:32,200
Speaker 1: Walmart and other major companies? Maybe is it enough to

678
00:38:32,200 --> 00:38:34,239
Speaker 1: put your complete trust and faith at your four oh

679
00:38:34,280 --> 00:38:35,920
Speaker 1: one K and savings account are going to be in

680
00:38:35,960 --> 00:38:39,200
Speaker 1: good shape? No way, We're still in a scary time

681
00:38:39,280 --> 00:38:42,240
Speaker 1: and a new plan is needed, a plan to shield

682
00:38:42,280 --> 00:38:44,959
Speaker 1: ourselves as best as we can from the unexpected highs

683
00:38:45,000 --> 00:38:48,320
Speaker 1: and lows. My own plan includes increased ownership of gold

684
00:38:48,360 --> 00:38:50,959
Speaker 1: and silver. Both have been proven over time to hold

685
00:38:50,960 --> 00:38:53,600
Speaker 1: their value in markets. Act like they've been acting. I

686
00:38:53,680 --> 00:38:56,239
Speaker 1: rely on the Oxford Gold Group for gold purchases. They're

687
00:38:56,239 --> 00:38:59,080
Speaker 1: the industry leader for so many reasons. Their advice, their

688
00:38:59,120 --> 00:39:02,920
Speaker 1: best pricing garrett, their ability to deliver real gold all

689
00:39:03,000 --> 00:39:06,880
Speaker 1: contribute to that designation. Call the Oxford Gold Group yourself

690
00:39:06,920 --> 00:39:10,160
Speaker 1: to diversify your portfolio and request your free Precious Medals

691
00:39:10,160 --> 00:39:13,680
Speaker 1: Investment Guide toll three eight three three four zero four

692
00:39:13,800 --> 00:39:17,759
Speaker 1: gold A three three four zero four g o LD.

693
00:39:20,040 --> 00:39:23,440
Speaker 1: Welcome back in Clay Travis buck Sexton Show. Encourage you

694
00:39:23,440 --> 00:39:25,400
Speaker 1: to go subscribe to the podcast. Help us set an

695
00:39:25,400 --> 00:39:29,120
Speaker 1: all time record in August. As we get ready with

696
00:39:29,239 --> 00:39:32,359
Speaker 1: the mid terms coming closer and closer, Buck, you and

697
00:39:32,400 --> 00:39:35,440
Speaker 1: I tomorrow are flying to Salt Lake City where'll be

698
00:39:35,480 --> 00:39:37,600
Speaker 1: doing the show Thursday and Friday. Cannot week to be

699
00:39:37,719 --> 00:39:40,560
Speaker 1: out there where we are number one in the markets

700
00:39:40,719 --> 00:39:43,400
Speaker 1: and you're spending a lot of time in Florida. I'm

701
00:39:43,440 --> 00:39:47,080
Speaker 1: spending a lot of time in Florida. Pole results have

702
00:39:47,200 --> 00:39:51,920
Speaker 1: come out in the last couple of hours University of

703
00:39:52,000 --> 00:39:57,560
Speaker 1: North Florida. One of the polls not particularly surprising. Florida

704
00:39:57,560 --> 00:40:01,040
Speaker 1: Governor RHN de Santis up seven points on Nicky Freed,

705
00:40:01,800 --> 00:40:06,200
Speaker 1: up eight points on Charlie Christ. Democrats still have to pick.

706
00:40:06,680 --> 00:40:11,759
Speaker 1: They're running uh their nominee and the Democrats when they do,

707
00:40:11,840 --> 00:40:14,120
Speaker 1: by the way, you're going to see that Desantist number

708
00:40:14,200 --> 00:40:15,920
Speaker 1: go up a couple of points. Just when we know

709
00:40:15,960 --> 00:40:19,400
Speaker 1: who the Democrat nominee is. I think it'll be Charlie Christ.

710
00:40:19,480 --> 00:40:21,839
Speaker 1: He seems to be kind of running away with it

711
00:40:22,000 --> 00:40:25,160
Speaker 1: in many water running in Florida for the last hundred

712
00:40:25,200 --> 00:40:27,879
Speaker 1: years from what I can understand. Here's here's a good

713
00:40:27,920 --> 00:40:32,160
Speaker 1: example of this. Buck two different poles in Florida today,

714
00:40:32,760 --> 00:40:35,319
Speaker 1: and I'm looking at real clear politics. I love looking

715
00:40:35,360 --> 00:40:38,000
Speaker 1: at polls. I'm a nerd. They post these new every day.

716
00:40:38,760 --> 00:40:42,840
Speaker 1: In Saint Petersburg they did a pole Saint Pete poles,

717
00:40:43,320 --> 00:40:47,200
Speaker 1: Charlie Christ up thirty two points over Nicky Freed in

718
00:40:47,239 --> 00:40:52,920
Speaker 1: the Democrat shot. Okay, in the University of North Florida pole,

719
00:40:53,400 --> 00:40:57,160
Speaker 1: Nicky Freed up four points. They came out the same day,

720
00:40:57,760 --> 00:41:02,880
Speaker 1: a thirty six point poll old difference and a difference

721
00:41:02,920 --> 00:41:06,160
Speaker 1: in who would win. So that's kind of hard to explain.

722
00:41:06,280 --> 00:41:08,840
Speaker 1: And it brings me to this. We've been talking a

723
00:41:08,880 --> 00:41:11,959
Speaker 1: lot about the Senate. Which one do you think? Which

724
00:41:11,960 --> 00:41:14,160
Speaker 1: one do you think is right? I mean, I'm not following.

725
00:41:14,320 --> 00:41:16,439
Speaker 1: I've never looked at a poll before. Between the two

726
00:41:16,480 --> 00:41:19,320
Speaker 1: of them, the assumption has been that Freed is the

727
00:41:19,360 --> 00:41:21,839
Speaker 1: Agricultural Commissioner and she's to make a lot of noise.

728
00:41:21,960 --> 00:41:25,560
Speaker 1: I think people realize she's a little um off. And

729
00:41:25,640 --> 00:41:28,640
Speaker 1: then there's uh, you know, old man Chris, who's just

730
00:41:28,680 --> 00:41:31,520
Speaker 1: been around forever. Yeah, I think Chris is probably going

731
00:41:31,600 --> 00:41:33,920
Speaker 1: to be the nominee. Yeah, but the fact that we

732
00:41:34,000 --> 00:41:38,040
Speaker 1: got thirty six point difference ties me in here. They've

733
00:41:38,040 --> 00:41:41,879
Speaker 1: got Rubio down to Val Demmings in the Senate race. Now,

734
00:41:41,920 --> 00:41:44,360
Speaker 1: I do not believe this is accurate, but you're probably

735
00:41:44,360 --> 00:41:47,640
Speaker 1: going to see this start to ricochet around because Democrats

736
00:41:47,680 --> 00:41:51,160
Speaker 1: want to sell the idea that they have tremendous momentum. Right,

737
00:41:51,160 --> 00:41:54,800
Speaker 1: they're trying to sell this idea joementum Joe Biden passed

738
00:41:55,360 --> 00:41:58,480
Speaker 1: the House and the Senate bill. They're trying to sell

739
00:41:58,520 --> 00:42:01,279
Speaker 1: the idea that he's on the comeback trail. And so

740
00:42:01,440 --> 00:42:04,279
Speaker 1: I guarantee you that this Pole is going to get

741
00:42:04,320 --> 00:42:07,160
Speaker 1: a lot of attention. Val Demmings. They have her up

742
00:42:07,200 --> 00:42:11,560
Speaker 1: four points over Rubio. University of North Florida Pole. Now,

743
00:42:12,040 --> 00:42:13,480
Speaker 1: the reason why I want to share with you, I

744
00:42:13,520 --> 00:42:18,000
Speaker 1: don't want to run from it because the Senate is folks,

745
00:42:18,320 --> 00:42:21,239
Speaker 1: It's gonna be tough. I look, doctor Oz. Did you

746
00:42:21,280 --> 00:42:25,719
Speaker 1: see the doctor Oz commercial where he goes in the

747
00:42:25,760 --> 00:42:27,520
Speaker 1: campaign thing where he goes in and talk about the

748
00:42:27,520 --> 00:42:31,120
Speaker 1: price of things, and he's asking about what he needs

749
00:42:31,120 --> 00:42:34,400
Speaker 1: to buy for his crew. Detay, I mean it's like

750
00:42:34,480 --> 00:42:36,520
Speaker 1: he should go in there and ask if they have

751
00:42:36,560 --> 00:42:40,279
Speaker 1: any great poupon. This was not not good, right, I

752
00:42:40,280 --> 00:42:42,920
Speaker 1: mean the team here, you guys saw it, right, doctor

753
00:42:43,200 --> 00:42:45,279
Speaker 1: doctor Oz. I know you talked to him last week

754
00:42:45,280 --> 00:42:47,440
Speaker 1: when I was out. Yeah, we had him on. He

755
00:42:47,480 --> 00:42:50,719
Speaker 1: was great on the show. Well yeah, look, he's super compelling.

756
00:42:50,760 --> 00:42:55,040
Speaker 1: He's been crazy successful in media. But as his campaign

757
00:42:55,239 --> 00:42:58,040
Speaker 1: is going here, Clay, if some people are starting to

758
00:42:58,080 --> 00:43:02,880
Speaker 1: say he's down almost double digits defended, looks like he doesn't,

759
00:43:03,080 --> 00:43:05,919
Speaker 1: you know, look shaky and he's not an old guy.

760
00:43:05,960 --> 00:43:08,919
Speaker 1: He just looks shaky. He had a serious health event recently. Yeah,

761
00:43:08,960 --> 00:43:12,440
Speaker 1: he had a stroke. And Fetterman cannot speak and doctor

762
00:43:12,440 --> 00:43:15,960
Speaker 1: Oz has challenged him to five different debates. I don't

763
00:43:15,960 --> 00:43:17,760
Speaker 1: think that Fetterman is going to be able to debate.

764
00:43:18,239 --> 00:43:21,360
Speaker 1: And I think it's gonna be even more aggressive in

765
00:43:21,440 --> 00:43:25,000
Speaker 1: Pennsylvania trying to hide him than they did with Joe

766
00:43:25,040 --> 00:43:30,120
Speaker 1: Biden in the twenty presidential election, except Fetterman is even

767
00:43:30,120 --> 00:43:32,880
Speaker 1: in worse shape than Biden was, so Pennsylvania is going

768
00:43:32,920 --> 00:43:35,360
Speaker 1: to be a mess. We've got a big battle going

769
00:43:35,400 --> 00:43:41,320
Speaker 1: on in Wisconsin. Georgia certainly we know about, and Nevada.

770
00:43:41,440 --> 00:43:43,839
Speaker 1: Hopefully New Hampshire can end up being competitive. They're picking

771
00:43:43,880 --> 00:43:48,399
Speaker 1: a nominee here soon and and then Arizona. But if

772
00:43:48,440 --> 00:43:50,960
Speaker 1: you have been out there and you've been of the belief, hey,

773
00:43:50,960 --> 00:43:53,600
Speaker 1: there's a huge red wave coming, we don't really need

774
00:43:53,680 --> 00:43:55,400
Speaker 1: to worry about it too much. I don't need to

775
00:43:55,440 --> 00:43:58,520
Speaker 1: get active. I don't need to speak out in the

776
00:43:58,560 --> 00:44:02,480
Speaker 1: Senate in particular, that is not necessarily going to be

777
00:44:02,520 --> 00:44:04,440
Speaker 1: the case. You need to be as aggressive as you can.

778
00:44:04,440 --> 00:44:09,200
Speaker 1: We're speaking to with this show, millions of voters across

779
00:44:09,280 --> 00:44:15,399
Speaker 1: the country. We're speaking to conservative and Republican activists, people

780
00:44:15,440 --> 00:44:18,560
Speaker 1: that are doing a lot of grassroots organizing, people that

781
00:44:18,680 --> 00:44:22,600
Speaker 1: are fired up and try to create a ground swell

782
00:44:22,600 --> 00:44:24,480
Speaker 1: of support for the right candidates, whether it's for the

783
00:44:24,520 --> 00:44:26,640
Speaker 1: school board all the way up to Senate seats. In

784
00:44:26,760 --> 00:44:30,680
Speaker 1: this election, this is not the time to coast. This

785
00:44:30,800 --> 00:44:33,839
Speaker 1: is when you know you're kicking hard at the end

786
00:44:33,840 --> 00:44:35,520
Speaker 1: of the race. This is when it's a time to

787
00:44:35,560 --> 00:44:39,920
Speaker 1: absolutely hit the afterburner because it's looking pretty good. For

788
00:44:40,080 --> 00:44:43,120
Speaker 1: Jade events in Ohio. But it's not a sure thing.

789
00:44:43,719 --> 00:44:46,920
Speaker 1: It's very tight. I think he's gonna be all right,

790
00:44:47,000 --> 00:44:49,520
Speaker 1: but La Salt, I think he's gonna win in Nevada,

791
00:44:49,560 --> 00:44:53,640
Speaker 1: but that one's gonna be close. Blake Masters strong candidate

792
00:44:53,960 --> 00:44:57,200
Speaker 1: Steep Harald Decline against Mark Kelly, the incumbent, and then

793
00:44:57,239 --> 00:45:02,520
Speaker 1: you get into Herschel v Van Jones in Georgia and

794
00:45:02,800 --> 00:45:07,040
Speaker 1: arna Os versus Feederman in Pennsylvania. Those are tough ones, man,

795
00:45:07,200 --> 00:45:12,880
Speaker 1: those are Reverend Warnock has been a has been a

796
00:45:12,920 --> 00:45:16,920
Speaker 1: poor candidate who managed to win once. And we'll see

797
00:45:16,719 --> 00:45:19,799
Speaker 1: what We'll see what ends up happening in that next one.

798
00:45:20,239 --> 00:45:24,200
Speaker 1: And so this is going to be a real challenge

799
00:45:24,280 --> 00:45:28,080
Speaker 1: to see exactly what's going to happen there. And um,

800
00:45:28,560 --> 00:45:33,239
Speaker 1: I just I don't think you can overrate how competitive

801
00:45:33,680 --> 00:45:35,719
Speaker 1: a bunch of these are going to be. And look this,

802
00:45:35,719 --> 00:45:39,239
Speaker 1: this this Rubio versus Val Dimmings raced down in Florida

803
00:45:39,400 --> 00:45:41,360
Speaker 1: is gonna get trumpeted. So I just want you to

804
00:45:41,440 --> 00:45:44,120
Speaker 1: hear from us as these polls are coming out. We're

805
00:45:44,120 --> 00:45:46,719
Speaker 1: gonna try to keep you apprize of everything. And that's

806
00:45:46,719 --> 00:45:48,879
Speaker 1: why I think it's so important to stay focused on this,

807
00:45:48,920 --> 00:45:51,680
Speaker 1: and I look, I think, I know it's a Republican seat,

808
00:45:51,719 --> 00:45:54,719
Speaker 1: but not really up in Alaska. That's the problem. You know,

809
00:45:55,160 --> 00:45:57,560
Speaker 1: you know, you win some, you lose some with Murkowski

810
00:45:57,640 --> 00:45:59,920
Speaker 1: on the Republican side, which is why I think Shamba

811
00:46:00,320 --> 00:46:04,360
Speaker 1: would be It really would be almost like a Republican

812
00:46:04,440 --> 00:46:07,160
Speaker 1: pickup if she can win that seat, because you can

813
00:46:07,200 --> 00:46:10,480
Speaker 1: count so much more on her for judicial nominees. You're

814
00:46:10,760 --> 00:46:15,520
Speaker 1: talking about this, the House goes to Republicans likely, everyone thinks,

815
00:46:15,520 --> 00:46:18,920
Speaker 1: so off your election. Okay, great, that slows down the

816
00:46:19,000 --> 00:46:23,080
Speaker 1: Biden agenda for sure, and that's a good thing, but

817
00:46:23,160 --> 00:46:25,800
Speaker 1: it doesn't stop it. And if you have a Supreme

818
00:46:25,800 --> 00:46:29,520
Speaker 1: Court vacancy or even just federal circuit courts, that will

819
00:46:29,560 --> 00:46:33,680
Speaker 1: be Oh, they will stack these circuit courts with the

820
00:46:33,719 --> 00:46:38,360
Speaker 1: most activist left wing lunatics they possibly can, and they'll

821
00:46:38,440 --> 00:46:42,319
Speaker 1: they'll put in more of these nominees to head the

822
00:46:42,360 --> 00:46:46,200
Speaker 1: federal agencies to use those the fourth branch of government,

823
00:46:46,239 --> 00:46:49,480
Speaker 1: the federal agencies, to push Biden agenda items. So a

824
00:46:49,600 --> 00:46:53,680
Speaker 1: senators there, it's obviously to say it's important as an understatement,

825
00:46:53,719 --> 00:46:57,719
Speaker 1: and it's obvious, but it's not looking like it did

826
00:46:57,760 --> 00:46:59,839
Speaker 1: a couple months ago where you know, we're talking about

827
00:46:59,840 --> 00:47:04,839
Speaker 1: the Red Wave, the Annihilation play in May and June. Yeah, Democrats,

828
00:47:05,120 --> 00:47:07,160
Speaker 1: we knew they had a bag of tricks and they're

829
00:47:07,160 --> 00:47:10,399
Speaker 1: reaching deep into it. Well. And look, the other thing

830
00:47:10,520 --> 00:47:13,799
Speaker 1: is if they control the Senate. I hate to say it,

831
00:47:13,840 --> 00:47:16,680
Speaker 1: but you never know. Clarence Thomas seventy four years old. Buck,

832
00:47:17,840 --> 00:47:20,160
Speaker 1: You've got John Roberts. I mean he's coming up on

833
00:47:20,239 --> 00:47:23,920
Speaker 1: sixty eight. Alito is seventy two, going on seventy three.

834
00:47:24,320 --> 00:47:26,840
Speaker 1: There are a lot of people out there. When you

835
00:47:26,840 --> 00:47:30,719
Speaker 1: get into your seventies, we know this just happens. Unfortunately,

836
00:47:30,719 --> 00:47:34,839
Speaker 1: people can have unexpected health related issues. And this is

837
00:47:34,960 --> 00:47:38,680
Speaker 1: a real issue in terms of being able to be

838
00:47:38,800 --> 00:47:43,160
Speaker 1: a check on the Biden administration and their agenda. And

839
00:47:43,280 --> 00:47:46,680
Speaker 1: it's not going to be a cakewalk. People need to

840
00:47:46,719 --> 00:47:49,320
Speaker 1: be super active and aware of how much of a

841
00:47:49,360 --> 00:47:52,000
Speaker 1: battle this is going to be in many parts of

842
00:47:52,040 --> 00:47:54,200
Speaker 1: the country. One can I ask you a question before

843
00:47:54,200 --> 00:47:55,879
Speaker 1: we we're gonna go to break, maybe if you want

844
00:47:55,920 --> 00:47:58,120
Speaker 1: to come back to it, we can. That's what we

845
00:47:58,200 --> 00:48:01,440
Speaker 1: call it teas in the business. Is it better for

846
00:48:01,640 --> 00:48:06,640
Speaker 1: pure bare knuckle political purposes if they're going to indict Trump.

847
00:48:07,600 --> 00:48:11,360
Speaker 1: Do they want to do it before this midterm election

848
00:48:12,280 --> 00:48:15,239
Speaker 1: or after to see how the chips may fall on

849
00:48:15,280 --> 00:48:18,920
Speaker 1: the midterm without poking the bear further. Do you want

850
00:48:18,920 --> 00:48:21,320
Speaker 1: to take that because yeah, we'll talk about it. Ask me.

851
00:48:21,440 --> 00:48:23,960
Speaker 1: I'm curious. Yeah, I think the timing on the idea

852
00:48:24,120 --> 00:48:26,400
Speaker 1: of an indictment, if it were going to come before

853
00:48:26,560 --> 00:48:29,239
Speaker 1: or after the midterms, is a really interesting one. We'll

854
00:48:29,239 --> 00:48:31,440
Speaker 1: talk about it in a minute. We come back in

855
00:48:31,440 --> 00:48:34,400
Speaker 1: the meantime. This morning, a police officer in Miami's in

856
00:48:34,400 --> 00:48:37,280
Speaker 1: critical condition after being shot last night on the job

857
00:48:37,480 --> 00:48:41,200
Speaker 1: chasing an armed robber. We could bring you a story

858
00:48:41,320 --> 00:48:43,400
Speaker 1: like this every day, which is why Buck and I

859
00:48:43,520 --> 00:48:47,080
Speaker 1: support the Tunnel the Towers Foundation. They deliver on their

860
00:48:47,120 --> 00:48:51,000
Speaker 1: promise to never forget the sacrifices of America's heroes. Those

861
00:48:51,040 --> 00:48:54,000
Speaker 1: heroes include first responders and our men and women fighting

862
00:48:54,000 --> 00:48:58,360
Speaker 1: the war on terror. NYPD officer Familia is another example.

863
00:48:58,680 --> 00:49:01,600
Speaker 1: She couldn't wait to join the YPD protect her community,

864
00:49:01,600 --> 00:49:04,680
Speaker 1: but was ambushed in the line of duty. She survived

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00:49:04,719 --> 00:49:07,440
Speaker 1: by three kids, the oldest being twenty years old. That

866
00:49:07,600 --> 00:49:11,040
Speaker 1: daughter became the sole guardian and provider for her twin siblings,

867
00:49:11,280 --> 00:49:13,920
Speaker 1: who were twelve years old at the time. Thanks to

868
00:49:14,000 --> 00:49:16,880
Speaker 1: your generosity, Tunnel of the Towers gave her children a

869
00:49:16,960 --> 00:49:20,120
Speaker 1: mortgage free home. For some families, the foundation brings the

870
00:49:20,160 --> 00:49:22,759
Speaker 1: comfort of knowing they can stay in their home where

871
00:49:22,760 --> 00:49:25,920
Speaker 1: they make memories with their fallen loved one. For other families,

872
00:49:25,920 --> 00:49:29,360
Speaker 1: the foundation enables new memories to be cherished forever. Help

873
00:49:29,400 --> 00:49:32,840
Speaker 1: our nation's greatest heroes and their families by joining Buck

874
00:49:32,920 --> 00:49:36,600
Speaker 1: and Me and donating eleven dollars a month to Tunnel

875
00:49:36,719 --> 00:49:39,520
Speaker 1: to Towers at T two t dot org. That's T

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00:49:39,760 --> 00:49:41,719
Speaker 1: the number two dot org.