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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.

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Speaker 2: Welcome back in Clay Travis buck Sexton Show. Nikki Hayley

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Speaker 2: has had a press conference to announce she will not

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Speaker 2: be dropping out.

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Speaker 3: I mean, I would.

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Speaker 2: Think that would be self evident.

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Speaker 3: I don't know.

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Speaker 2: Bill's fairly desperate as we get closer to Saturday. So

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Speaker 2: she's gonna lose in South Carolina and then she's gonna

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Speaker 2: lose basically everywhere on Super Tuesday. And what exactly is

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Speaker 2: the strategy here? I have absolutely no idea, she says,

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Speaker 2: I refuse to quit. Well, maybe play some of this

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Speaker 2: audio for you in a bit. South Carolina will vote

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Speaker 2: on Saturday, but on Sunday, I will still be running

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Speaker 2: for president. I'm not going anywhere. I'm campaigning every day

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Speaker 2: until the last person votes. I just, I mean again,

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Speaker 2: I give credit to Ron DeSantis and his team because

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Speaker 2: after Iowa, they put everything they had into Iowa.

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Speaker 3: They lost.

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Speaker 2: They came in second, but they lost and it wasn't

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Speaker 2: particularly close, and they said there is no pathway for

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Speaker 2: us to be the nominee, and they dropped out. Nicky

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Speaker 2: Haley put everything she had into New Hampshire. She lost

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Speaker 2: by eleven or twelve. She's now putting everything she has

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Speaker 2: again into South Carolina, and she's going to lose, and

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Speaker 2: she's now saying I'm going to keep fighting afterwards. I

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Speaker 2: think it's very fair to ask where is her money

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Speaker 2: coming from and how much of that money is being

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Speaker 2: spent by people who support Joe Biden to try to

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Speaker 2: keep Donald Trump from officially having everything locked up. I

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Speaker 2: think Nicky Haley could have been a viable vice presidential candidate.

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Speaker 2: I think she should have come to Trump right after

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Speaker 2: certainly New Hampshire and said, hey, what about the idea

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Speaker 2: of a unity ticket? Maybe not, isn't it? Maybe its

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Speaker 2: secretary of State. Let's go ahead and put this to

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Speaker 2: bed instead. I think Bock she's made a really bad

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Speaker 2: decision about how she's played this out. Here we go,

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Speaker 2: Here's twenty cut twenty seven, Nikki Haley vowing to fight

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Speaker 2: on and saying that this primary will continue and we

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Speaker 2: will discuss what that means play it.

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Speaker 4: I'm fighting for what I know is right, and I

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Speaker 4: don't care what the party leaders and political elites want.

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Speaker 4: I'll keep fighting until the American people close the door.

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Speaker 4: That day is not today, and it won't be on Saturday,

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Speaker 4: not by a long shot. The presidential primaries have barely begun.

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Speaker 4: Just three states have voted three that's it. After this

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Speaker 4: weekend we'll be at four. That's not a lot. In

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Speaker 4: the ten days after South Carolina, another twenty one states

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Speaker 4: and territories will vote. People have a right to have

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Speaker 4: their voices heard, and they deserve a real choice, not

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Speaker 4: a Soviet style election where there's only one candidate and

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Speaker 4: he gets ninety nine percent of the vote.

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Speaker 2: If you lose every state. Whoever is advising Nicki Haley,

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Speaker 2: I think is doing a really poor job of advising her,

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Speaker 2: unless buck she's interested in running on this no labels

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Speaker 2: ticket and she's trying to stay alive and she just

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Speaker 2: wants to completely sabotage Trump. I don't know if there's

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Speaker 2: any viability to that possibility, but I think it's worth discussing.

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Speaker 3: At this point.

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Speaker 5: There's another option, and I will admit that I don't

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Speaker 5: know this, and it is it is cynical, but it

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Speaker 5: is based in some tendencies that we saw from Nicky

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Speaker 5: Haley right after she served as Trump's US Ambassador to

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Speaker 5: the United Nation, which I just like to point out.

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Speaker 5: You know, people were making an argument about rom DeSantis

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Speaker 5: and saying that it was remember this, it was disloyal

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Speaker 5: for him to run against Trump, and people can make

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Speaker 5: of that what they will. Ron de Santis was never

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Speaker 5: a part of the Trump administration, Nicky Haley was. So

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Speaker 5: I think that if that argument applied at all for somebody,

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Speaker 5: then it should apply in this case even more substantially

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Speaker 5: more so. And I think my more cynical take on

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Speaker 5: this is, Look, she's getting big money from a Democrat.

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Speaker 5: We already know about that, right, I mean, that's there

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Speaker 5: are big money Democrats who are writing checks for the

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Speaker 5: Nicky Haley campaign. So she's allowing herself to be used

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Speaker 5: as at least a drain on time, resources and focus

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Speaker 5: a focus against Trump at this stage. And it might

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Speaker 5: be because she figures there's a big, fat corporate job

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Speaker 5: in it for her after this. That's very cynical, I understand.

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Speaker 5: But she was on the board of Boeing after doing

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Speaker 5: a lot of business with Boeing, and she was a

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Speaker 5: governor of South Carolina. That's what got Vivek and her

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Speaker 5: so fiery with each other on stage. She does not

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Speaker 5: have another job, she does not have something else lined

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Speaker 5: up after this. It's not like she's still the governor

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Speaker 5: of somewhere, or she's still a senator or whatever. So

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Speaker 5: maybe it's this is what corporate America, the donor class wants.

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Speaker 5: So she stays in this a little bit longer. Then

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Speaker 5: she ends up getting some board seats and some two

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Speaker 5: hundred fifty thousand dollars a gig speaking engagements. Does that

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Speaker 5: strike anyone as crazy?

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Speaker 3: I don't know.

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Speaker 2: That's why I wonder if she's going to run as

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Speaker 2: a third party. If she's really in it for them,

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Speaker 2: then she's clearly doing that.

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Speaker 5: By the way, then she is actually just a pawn

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Speaker 5: of the moneyed elites in this country.

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Speaker 2: If she's really in it for the money, then she'll

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Speaker 2: run as a third party and try to keep Trump

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Speaker 2: from being elected. By the way, here she is saying,

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Speaker 2: I'm not going to kiss the ring.

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Speaker 4: Look, I get it. In politics, the herd mentality is

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Speaker 4: enormously strong. A lot of Republican politicians have surrendered to it.

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Speaker 4: The pressure on them was way too much. They didn't

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Speaker 4: want to be left out of the club. Of course,

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Speaker 4: many of the same politicians who now publicly embrace Trump

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Speaker 4: privately dread him. They know what a disaster he's been

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Speaker 4: and will continue to be for our party. They're just

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Speaker 4: too afraid to say it out loud. Well, I'm not

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Speaker 4: afraid to say the hard truth out loud. I feel

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Speaker 4: no need to kiss the ring. I have no fear

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Speaker 4: of Trump's retribution.

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Speaker 2: That sounds to me like somebody who is laying the

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Speaker 2: groundwork to run as a third party candidate because.

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Speaker 3: You can't win. Why else would you say.

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Speaker 2: All of this, I would just just put it out

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Speaker 2: there as a possibility. What is her game plan If

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Speaker 2: it's not to run as a third party, She's definitely

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Speaker 2: got to make money. She's not independently wealthy. That's really

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Speaker 2: where Vivk I think hit her pretty solidly was in

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Speaker 2: pointing out how avaricious, how greedy she had been in

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Speaker 2: her post political career, how much money she made so quickly.

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Speaker 3: I think it kind of made some people cringe.

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Speaker 5: If you're a governor and you're on the board of

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Speaker 5: you're not a former general on the board of Boeing,

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Speaker 5: Right if if you're which that brings its own problems.

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Speaker 5: Don't get me wrong, at least there's some kind activity,

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Speaker 5: you know. I know Boeing does more than just make

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Speaker 5: military stuff. But you can understand why somebody who had

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Speaker 5: been you know, chairman of Scentcom or whatever might end

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Speaker 5: up on the board at Boeing.

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Speaker 3: And we can have conversations.

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Speaker 5: About the down the downside of the military industrial complex

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Speaker 5: and another time on this show. But in terms of

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Speaker 5: the governor, you're effectively a lobbyist for Boeing at that point, right,

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Speaker 5: You're somebody who your rolodecks and your political connections or

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Speaker 5: what's being offered up. And you know, I think that

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Speaker 5: some people, given her foreign policy, started to connect this

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Speaker 5: stuff together and feel like there are real issues there.

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Speaker 5: I mean, you could always I think tell with some

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Speaker 5: politicians when you hit them on something and they get

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Speaker 5: truly angry instead of politician indignant. And I think what

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Speaker 5: we saw with her in Vivek on stage was there

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Speaker 5: were some some of those things were hitting home in

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Speaker 5: a way that she called him scum. I think on

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Speaker 5: the stage, didn't she yes, he's looking and said your scum,

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Speaker 5: which is you know, that's not that's not cool. I

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Speaker 5: can't can't say that that's something that's acceptable. I don't

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Speaker 5: even think at least Trump is funny when he when

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Speaker 5: he says something nasty to someone that's not funny, that's

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Speaker 5: just mean. So yeah, and it's, by the way, valid

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Speaker 5: criticisms of her. It's not like he just said.

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Speaker 2: I mean, he said, hey, your own daughter's on TikTok,

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Speaker 2: it's going to be kind of hard to get people

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Speaker 2: to get off TikTok. When she criticized him for being

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Speaker 2: on TikTok, that seems valid to me. I mean, I've

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Speaker 2: got kids. If all my kids are on TikTok, and

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Speaker 2: I'm saying we've got to ban the app and my

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Speaker 2: kids are all on TikTok, like campaigning for me, that

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Speaker 2: would be I think a very valid punch.

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Speaker 3: By the way, we got a bunch of callers who

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Speaker 3: went away.

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Speaker 2: In women, we're talking about the gender gap Jessica in

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Speaker 2: San Antonio.

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Speaker 3: Are these are these women persuadable?

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Speaker 6: I you know, I think they are, and I don't

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Speaker 6: think that you know, have a woman vice president, but

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Speaker 6: you know that the candidate doesn't have to.

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Speaker 1: Be a woman.

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Speaker 7: We don't vote for women just because they're women. I

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Speaker 7: think for Trump it would help a lot.

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Speaker 5: I think we miss we don't have a good enough

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Speaker 5: connection to Jessica. We're gonna have to see if we

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Speaker 5: can maybe get her back, and Clay, why don't we

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Speaker 5: come back and take more of these calls.

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Speaker 3: In a second.

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Speaker 5: While we have a strong connection with everybody, I want

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Speaker 5: to tell them a little bit about Prize Picks, because

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Speaker 5: if you're a sports fan, a fantasy sports person, the

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Speaker 5: Prize Picks app is the one you want to download.

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Speaker 5: I had never done this before, and now I'm doing

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Speaker 5: it all the time every week, having a lot of fun,

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Speaker 5: making some money. Most of the time. We came close

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Speaker 5: to Clay at the Super Bowl. We know a little bit.

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Speaker 5: We we we were on the right trajectory, but then

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Speaker 5: you know that one yard. But it's still a lot

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Speaker 5: of fun. That's the thing, and it makes it more

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Speaker 5: fun to watch these games and you can really test

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Speaker 5: out your skills and your knowledge on these teams, which

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Speaker 5: Clay has a ton of. I'm learning all the time.

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Speaker 5: I'm gonna be going to some sporting events next month actually,

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Speaker 5: so i can actually see with my own eyes some

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Speaker 5: of these players, individuals that I'm gonna be picking all

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Speaker 5: the prize picks at. I'm gonna play see some basketball play,

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Speaker 5: I'm gonna go see some tennis.

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Speaker 3: I'm looking forward to it.

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Speaker 5: your next big pick, Clay you want to can you

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Speaker 5: tell us when it's coming?

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Speaker 3: Uh, this is a great question. Maybe at the end

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Speaker 3: of the week.

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Speaker 2: Maybe at the end of the week, I'll give you

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Speaker 2: a college basketball or college college or NBA pick. I'll

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Speaker 2: dive into it. I'll give something out at the end

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Speaker 2: of the week. I think we need a Clay pick

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Speaker 2: at the end of each week. I'm throwing that out

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Speaker 2: there because then at least I can ride his coat

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Speaker 2: tails and hopefully make some money.

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Speaker 5: But I'm getting better myself. Prize Picks makes it that easy.

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Speaker 5: sports stuff before, Prize Picks is for you, And if

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Speaker 5: Use my name Buck as your promo promo code. You'll

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Speaker 5: get a first deposit match up to one hundred dollars.

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Speaker 5: Promo code Buck and you'll get a deposit match up

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Speaker 5: to one hundred dollars when you download that Prize Picks app.

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Speaker 3: Today, Download and use than you Clay and Buck app.

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Speaker 3: Listen to the program live, catch up on any part

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Speaker 3: of this show you.

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Speaker 1: Might have missed.

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Speaker 3: State current with what Clay and Buck are saying on TV.

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Speaker 3: Fine the Clay and Buck app in your app store

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Speaker 3: and make it.

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Speaker 2: Part of your Dave Walking Back in Clay Travis Buck

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Speaker 2: Sexton Show. Appreciate all of you hanging out with us.

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Speaker 2: We've been rolling through a lot of different topics. Encourage

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Speaker 2: you to go subscribe to the podcast. Make sure you

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Speaker 2: don't miss a moment. You can search out my name

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Speaker 2: Clay Travis, you search out Buck Sexton. We've got a

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Speaker 2: great podcast network with Carol Markowitz, Tutor Dixon. More to

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Speaker 2: be added soon, and we are very happy to see

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Speaker 2: how well those are all doing. I do think this

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Speaker 2: is worthy of continuing to to discuss a lot of

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Speaker 2: people just accepted the three hundred and fifty some odd

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Speaker 2: million dollar verdict against Donald Trump and New York. But

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Speaker 2: as much as Buck and myself and many of you

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Speaker 2: think this is crazy, I actually think the people who

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Speaker 2: think it's craziest are real estate developers and high net

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Speaker 2: worth individuals with substantial assets.

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Speaker 3: In New York.

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Speaker 2: One of them would be Kevin O'Leary. Many of you

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Speaker 2: know him from Shark Tank. He's been on this program.

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Speaker 2: I believe we had him as a guest in the

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Speaker 2: last several months. He pointed out what is very important

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Speaker 2: to recognize here, there was no victim here of this

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Speaker 2: alleged fraud. Here was that analysis with Neil Cavudo.

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Speaker 3: Listen, wouldn't there.

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Speaker 4: Be many companies who would not want to do business

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Speaker 4: or loan money to people like yourself for investors.

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Speaker 3: If they know that they can get away.

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Speaker 5: With fraud and there's no recourse to protect them. Excuse me,

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Speaker 5: what fraud? This is not about Trump anymore.

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Speaker 6: In this case, even the bank that was supposedly defrauded

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Speaker 6: testified and said, we didn't lose anything. We want to

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Speaker 6: do business with this guy again.

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Speaker 3: We'd like to.

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Speaker 6: But the judge said, no, no, no, no, no no.

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Speaker 6: Let's penalize this developer for three hundred and fifty five million,

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Speaker 6: and we're going to do that. Let's penalize all the

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Speaker 6: developers all across America. They've all done the same thing.

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Speaker 6: All of them should go to jail, and we should

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Speaker 6: stop building buildings.

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Speaker 2: That CNN's Laura Coats all right, So he's pointing out

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Speaker 2: how absurd the logic is for this entire case. And

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Speaker 2: then Bucky builds on something else which you have experienced

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Speaker 2: and which I don't ever want to experience, which is

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Speaker 2: what it's like to be living behind the big Blue

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Speaker 2: Wall of New York.

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Speaker 3: Here he is.

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Speaker 2: Saying, Look, a lot of people are going to be

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Speaker 2: making the decisions based on this result to pull assets

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Speaker 2: out of New York.

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Speaker 6: Listen, the fine people of New York should ask themselves,

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Speaker 6: why are we such a loser saints? How are we

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Speaker 6: going to attract business? What's the existing businesses that are

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Speaker 6: fleeing out to Texas and Florida? What about new money

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Speaker 6: like this I'm talking about like a four billion dollar

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Speaker 6: data center. Not a chance I would put that in

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Speaker 6: New York, zero probability.

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Speaker 3: Never.

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Speaker 6: And so they've got a lot of work to do

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Speaker 6: to find themselves getting out of this situation. This has

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Speaker 6: all occurred post pandemic, winner states versus loser states. Look

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Speaker 6: at Tennessee right now, fastest growing city in America in Nashville,

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Speaker 6: winner state, good policy, competitive taxes.

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Speaker 3: You've got to start.

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Speaker 6: Thinking about this in the context of winners and losers.

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Speaker 3: New York mega loser state.

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Speaker 2: Okay, we have a lot of people listening on war

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Speaker 2: in New York, Buck, you lived in New York City

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Speaker 2: for a long time. We also have massive audience in Texas, Florida, Tennessee,

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Speaker 2: three states that have no state income tax. As you

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Speaker 2: get ready to pay your taxes in twenty twenty three,

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Speaker 2: right coming up in April, Buck, how much does it

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Speaker 2: make you sick the idea that you would be paying

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Speaker 2: fourteen percent of your income for the privilege of living

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Speaker 2: in New York City. Now that you live in Miami,

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Speaker 2: you've actually done what Kevin O'Leary is suggesting here, which

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Speaker 2: is you're highly successful, relocate basically the Buck six of

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Speaker 2: the enterprise to Miami and save yourself a lot of

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Speaker 2: money in the process.

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Speaker 5: There are so many people down here. I have friends

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Speaker 5: in finance, in the real estate game, corporate lawyers all

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Speaker 5: telling the same story down here in South Florida and

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Speaker 5: other parts of Florida as well, and they the you know,

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Speaker 5: a lot of people felt like they had to move

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Speaker 5: because of COVID, and that was My primary reason too,

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Speaker 5: because I was so angry and felt like I had

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Speaker 5: to do something, take some action after the tyranny that

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Speaker 5: New York and the Libs engaged in during COVID. But

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Speaker 5: once you start looking at regulatory policy, taxation, and now

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Speaker 5: politicize civil judgments, right, I mean, you could probably say

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Speaker 5: to yourself, well, you know, I'm not Trump. I'm not

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Speaker 5: gonna get you know, in trouble because I'm not taking

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Speaker 5: on the entire Democrat apparatus myself, and so they're probably

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Speaker 5: not going to try to, you know, throw me in

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Speaker 5: prison for document fraud or something. But when you see

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Speaker 5: what happened to well was Elon and Delaware and now

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Speaker 5: Trump Civilly in New York for running his business. I

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Speaker 5: keep asking friends of mine. I actually spoke to someone

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Speaker 5: on the Trump campaign about this yesterday too.

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Speaker 3: I'm just curious. I was saying, what happens here?

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Speaker 5: I mean, we've just the number we're talking about is

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Speaker 5: what four hundred million plus? Yes, for him to appeal

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Speaker 5: the New York state verdict, he has to either put

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Speaker 5: up that cash or get a bond for all someone

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Speaker 5: that basically else has to say that they will, you know,

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Speaker 5: have a surety bond or whatever it's called. To make

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Speaker 5: sure that he will arrive in court for this and

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Speaker 5: do this, he won't flee the country. Look, Trump's obviously

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Speaker 5: flee the country. He might be running the country again soon.

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Speaker 5: But the point here is I don't see how he

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Speaker 5: doesn't end up having to try to write some kind

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Speaker 5: of massive check, which is a punishment in and of

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Speaker 5: itself as he's running for president. You know what I mean,

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Speaker 5: what is the alternative to he has to write this

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Speaker 5: check in New York.

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Speaker 3: I don't see it. There isn't one.

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Speaker 2: He's going to have to put forward the money, which

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Speaker 2: is why the goal is to try to humiliate and

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Speaker 2: embarrass and bankrupt him.

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Speaker 3: And I just want to say this.

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Speaker 2: I understand a lot of you who are listening to

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Speaker 2: us right now in California and New York and even

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Speaker 2: the Chicago area, big massive centers of commerce, and some

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Speaker 2: of you got friends, family, got kids in school.

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Speaker 3: You can't move. If you can move, get out.

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Speaker 2: I mean this, honestly, you don't know how good life

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Speaker 2: is in Texas, Tennessee, and Florida. And I'm just naming

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Speaker 2: those three because there is no state income tax. The

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Speaker 2: more successful you are the less sense it makes for

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Speaker 2: you to be funding broken left wing governments in New York, California,

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Speaker 2: and Illinois. And I'm using those three because that's where

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Speaker 2: I'm seeing people flee the most, where you have high

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Speaker 2: income tax rates, and where the states are falling apart

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Speaker 2: thanks to left wing governance effective one party rule. I

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Speaker 2: can't tell you how fabulous it is down here. And

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Speaker 2: when you get down here and look, I'm talking about

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Speaker 2: the Tennessee area Bucks down in Florida, a lot of

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Speaker 2: you are listening. I think we're number one in Houston,

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Speaker 2: San Antonio, and Austin. So we got a lot of

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Speaker 2: you listening all over the state of Texas. We want

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Speaker 2: these states to be redder. They're now driving the commerce

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Speaker 2: of the United States. So if you're thinking generationally, where

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Speaker 2: what you know? I used to you ever been out

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Speaker 2: to Cornado out in San Diego, beautiful area of San Diego,

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Speaker 2: tons of military out there. In nineteen forty or nineteen fifty,

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Speaker 2: you could have traveled out to San Diego and you

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Speaker 2: could have bought an incredible bungalow in what is effectively

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Speaker 2: the Garden of Eden in the United States, and you

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Speaker 2: could have afforded to live there on a middle class salary.

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Speaker 2: You could have been in the military, you could have

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Speaker 2: been associated with a normal everyday job, cop, teacher, whatever

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Speaker 2: it is. Can't do that anymore. Those are all million,

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Speaker 2: multimillion dollar homes. I'm telling you that's going to happen

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Speaker 2: all over Florida. It's gonna happen all over Texas, it's

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Speaker 2: going to happen all over Tennessee. And in twenty forty five,

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Speaker 2: you're going to leave Illinois or California or New York

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Speaker 2: and you're gonna travel to one of those states, and

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Speaker 2: you're gonna think, why didn't we leave in the twenty twenties.

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Speaker 2: Why have we waited and stayed behind and looked at

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Speaker 2: what has happened in these other states.

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Speaker 3: I'm telling you.

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Speaker 2: The wheels of commerce are spinning, and all of the

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Speaker 2: positive directions are going to be in red states that

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Speaker 2: are pro business, that are low tax, and that believe

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Speaker 2: in America and American values. And it's only going to

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Speaker 2: get faster. That flywheel of excellence. Everything falling apart in

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Speaker 2: New York and California and Illinois, and everything's going to

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Speaker 2: be going well. And again I'm just using as an

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Speaker 2: example there's certainly other states, but when you have no

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Speaker 2: state income tax in Texas, Florida, and Tennessee, it's pretty

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Speaker 2: damn good life down here.

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Speaker 3: Yeah.

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Speaker 5: And in the Blue states, they're going to have more

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Speaker 5: and more problems because the and the you know, the

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Speaker 5: leading blue states in terms of population and all the stuff.

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Speaker 5: We're talking about, New York and California, they are losing

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Speaker 5: a portion of the tax base that they need, a

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Speaker 5: critical portion of the tax base. I think something like

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Speaker 5: in New York City, one percent of earners pay forty

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Speaker 5: forty to fifty percent of the taxes. One percent crazy

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Speaker 5: that city is responsible for carrying effectively the budget of

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Speaker 5: the City of New York. I mean, without me, if

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Speaker 5: you try to have forty or fifty percent budget cuts

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Speaker 5: you're talking about, you know you got nothing left unless

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Speaker 5: you're just gonna start slashing pensions and you know you're

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Speaker 5: gonna have like five cops on the beat. The whole

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Speaker 5: thing is going to be an absolute mess. So that's

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Speaker 5: why they're want federal bailouts. And that's why everything. Then

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Speaker 5: the bad decisions made by Democrat blue states are supposed

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Speaker 5: to be effectively socialized through the federal government picking up

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Speaker 5: the losses that will come from these places. It's also

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Speaker 5: one of the reasons why they want so much illegal

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Speaker 5: migration into these places, because they want a new labor

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Speaker 5: force that they can call upon and new votes that

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Speaker 5: they can call upon. Who are The one thing he

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Speaker 5: will say is, oh, we want illegals to pay taxes.

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Speaker 5: Illegals are going to be getting tax refunds if they

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Speaker 5: start actually filing for taxes, which they don't. But that's

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Speaker 5: a whole other thing because they don't make enough money

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Speaker 5: in the manual labor and service industry jobs that they

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Speaker 5: have to be subject to taxation. So all of the

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Speaker 5: so this thing about oh, they're going to increase the

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Speaker 5: economy and everything, No, actually that's not how it works.

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Speaker 5: They're going to be a net drain on resources, which

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Speaker 5: is why New York City is saying they need fourteen

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Speaker 5: billion dollars or twelve billion dollars over the next three years.

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Speaker 3: To deal with them.

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Speaker 5: Anyway, let's take some calls on this one and see

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Speaker 5: which you think about all the stuff we've talked about.

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Speaker 5: You know, if your family had a video camera back

439
00:22:05,200 --> 00:22:06,840
Speaker 5: in the day, mine certainly did. My dad loved to

440
00:22:06,880 --> 00:22:08,680
Speaker 5: bust it out. The camera was huge. It look like

441
00:22:08,720 --> 00:22:11,760
Speaker 5: a rocket launcher and he would take it out and

442
00:22:11,840 --> 00:22:15,520
Speaker 5: he would video us opening presents at Christmas, and after

443
00:22:15,560 --> 00:22:18,320
Speaker 5: my mom would cook a Thanksgiving dinner. But what do

444
00:22:18,359 --> 00:22:19,800
Speaker 5: you do with all that stuff now? You don't have

445
00:22:19,840 --> 00:22:23,679
Speaker 5: a VCR. That's where Legacy Box comes in. Legacy Box

446
00:22:23,840 --> 00:22:26,800
Speaker 5: digitally preserves old media so you can safely keep family

447
00:22:26,800 --> 00:22:30,160
Speaker 5: memories alive for decades to come. Legacy Box is based

448
00:22:30,160 --> 00:22:33,840
Speaker 5: in Tennessee. They don't outsource overseas. They take exceptional care

449
00:22:33,880 --> 00:22:36,800
Speaker 5: and transfinger tapes, film photos, even.

450
00:22:36,560 --> 00:22:37,720
Speaker 3: Old audio cassettes.

451
00:22:38,080 --> 00:22:41,320
Speaker 5: They can digitally transfer over a dozen different types of media.

452
00:22:41,400 --> 00:22:44,040
Speaker 5: They return everything along with brand new digital files that

453
00:22:44,080 --> 00:22:46,840
Speaker 5: you can watch, share posts, and hold onto forever. They

454
00:22:46,840 --> 00:22:48,639
Speaker 5: do a great job too. Both Clay and I have

455
00:22:48,760 --> 00:22:52,840
Speaker 5: used Legacy Box to digitally transfer our family memories. Carrie's family,

456
00:22:52,880 --> 00:22:56,520
Speaker 5: the Flatleys they use Legacy Box. It's great to get started,

457
00:22:56,560 --> 00:22:59,920
Speaker 5: go to legacy box dot com slash buck. That's leg

458
00:23:00,040 --> 00:23:03,720
Speaker 5: dacybox dot com slash buck. A million and a half

459
00:23:03,760 --> 00:23:08,320
Speaker 5: families have benefited already from using Legacy box. Le Legacy

460
00:23:08,359 --> 00:23:11,680
Speaker 5: box dot com slash Bucks say fifty percent off their

461
00:23:11,760 --> 00:23:12,640
Speaker 5: regular prices.

462
00:23:13,240 --> 00:23:16,080
Speaker 1: Seek out with the guys on the Sunday Hang with

463
00:23:16,200 --> 00:23:19,600
Speaker 1: Clay and Buck podcast. A new episode of Every Sunday

464
00:23:19,760 --> 00:23:22,919
Speaker 1: Find it on the iheartapp or wherever you get your podcasts.

465
00:23:23,200 --> 00:23:26,840
Speaker 5: Second hour Clay and Buck kicks off. Now you will

466
00:23:26,920 --> 00:23:34,240
Speaker 5: recall that we were discussing during the Claudine Gay controversy,

467
00:23:35,440 --> 00:23:39,200
Speaker 5: who stepped down as president of Harvard. Remember for saying

468
00:23:39,280 --> 00:23:42,000
Speaker 5: that it would not be a violation of Harvard's code

469
00:23:42,040 --> 00:23:45,359
Speaker 5: of conduct per se to call for the extermination of

470
00:23:45,359 --> 00:23:46,159
Speaker 5: the Jewish people.

471
00:23:47,040 --> 00:23:48,080
Speaker 3: That was a problem.

472
00:23:48,640 --> 00:23:50,920
Speaker 5: And then beyond that, it was found that she had

473
00:23:51,000 --> 00:23:57,919
Speaker 5: engaged in dozens of instances of plagiarism which were indefensible.

474
00:23:57,920 --> 00:24:00,679
Speaker 5: We know that because nobody could actually do and they

475
00:24:00,800 --> 00:24:03,359
Speaker 5: very much wanted to. They would have tried to with

476
00:24:03,440 --> 00:24:06,959
Speaker 5: everything that they had, but there was no defense.

477
00:24:07,000 --> 00:24:08,479
Speaker 3: It's cut and paste. You can see it.

478
00:24:09,320 --> 00:24:11,719
Speaker 5: So you go then beyond that and think, hold on,

479
00:24:11,920 --> 00:24:15,600
Speaker 5: why am I bringing this up now? Well, she also

480
00:24:16,080 --> 00:24:19,720
Speaker 5: was one of the loudest voices among the faculty at

481
00:24:19,720 --> 00:24:25,200
Speaker 5: Harvard demanding the removal of tenure, which is one of

482
00:24:25,240 --> 00:24:27,800
Speaker 5: the things we all know about the university system. Tenure

483
00:24:27,880 --> 00:24:30,359
Speaker 5: does not get taken from p I mean you have to.

484
00:24:30,760 --> 00:24:33,679
Speaker 5: You're talking like triple homicide or something for your tenure

485
00:24:33,720 --> 00:24:38,280
Speaker 5: to get taken away. It is unheard of in the

486
00:24:38,359 --> 00:24:41,159
Speaker 5: university system. I mean it can occur, I think, but

487
00:24:41,240 --> 00:24:46,920
Speaker 5: only under extreme circumstances. She wanted Claudine Gay wanted the

488
00:24:47,080 --> 00:24:51,119
Speaker 5: tenure of Roland Fryar to be taken away. Now, just

489
00:24:51,160 --> 00:24:54,080
Speaker 5: a quick and we've talked about Roland Fryar during the

490
00:24:54,119 --> 00:24:59,439
Speaker 5: situation for sexual harassment, by the way, not a violent crime,

491
00:24:59,680 --> 00:25:04,240
Speaker 5: not not the rape, but sexual harassment comments in front

492
00:25:04,280 --> 00:25:10,000
Speaker 5: of female colleagues. If memory serves, that was the primary problem.

493
00:25:10,040 --> 00:25:13,600
Speaker 5: And there was an investigation. They found nothing substantive or

494
00:25:13,640 --> 00:25:15,240
Speaker 5: nothing worthy of discipline.

495
00:25:15,320 --> 00:25:18,320
Speaker 3: But she wanted them fired. She wanted them fired.

496
00:25:19,600 --> 00:25:19,840
Speaker 7: Now.

497
00:25:20,040 --> 00:25:24,040
Speaker 5: Roland Frar is the youngest professor to get tenure in

498
00:25:24,040 --> 00:25:26,800
Speaker 5: the history of Harvard University. I think he got ato

499
00:25:26,800 --> 00:25:27,880
Speaker 5: thirty four years old.

500
00:25:28,359 --> 00:25:29,200
Speaker 3: He is black.

501
00:25:30,240 --> 00:25:34,720
Speaker 5: He is an exceptional economist and has won tons of

502
00:25:34,760 --> 00:25:38,840
Speaker 5: awards and published a body of work that shows both

503
00:25:39,119 --> 00:25:43,280
Speaker 5: skill and expertise, and on top of that is meaningful

504
00:25:43,880 --> 00:25:47,400
Speaker 5: to the national discourse on a range of issues, for

505
00:25:47,480 --> 00:25:49,600
Speaker 5: example clay. And this is going to tie in, I

506
00:25:49,600 --> 00:25:52,439
Speaker 5: think in a second here to the discussion we were

507
00:25:52,440 --> 00:25:54,880
Speaker 5: having yesterday about shootings.

508
00:25:54,320 --> 00:25:55,159
Speaker 3: Whether it's at the.

509
00:25:57,480 --> 00:26:00,480
Speaker 5: Parade for the Kansaitate Chiefs or just the way the

510
00:26:00,520 --> 00:26:04,960
Speaker 5: media covers violence and shootings in general. But two of

511
00:26:05,000 --> 00:26:08,320
Speaker 5: the most well known papers that Roland Fryar has written.

512
00:26:08,359 --> 00:26:13,280
Speaker 5: One of them was a study where he looked at

513
00:26:13,400 --> 00:26:17,360
Speaker 5: the use of distinctly African American names and life outcome,

514
00:26:17,880 --> 00:26:21,640
Speaker 5: because there was this theory out there that people had

515
00:26:21,760 --> 00:26:24,160
Speaker 5: come to believe very broadly, if you give your child

516
00:26:24,240 --> 00:26:29,080
Speaker 5: a distinctly African American name, you are setting them up

517
00:26:29,119 --> 00:26:31,280
Speaker 5: for a more difficult life in the workplace and things

518
00:26:31,280 --> 00:26:35,000
Speaker 5: like that they'll face discrimination effectively. Fryar crunched all the

519
00:26:35,080 --> 00:26:38,760
Speaker 5: numbers and found out that that is not true when

520
00:26:38,800 --> 00:26:44,840
Speaker 5: you control for socioeconomic origin. Basically, does this person come

521
00:26:44,840 --> 00:26:47,680
Speaker 5: from a two parent household with a income of eighty

522
00:26:47,760 --> 00:26:50,639
Speaker 5: thousand dollars a year, Well, then that the name doesn't

523
00:26:50,640 --> 00:26:52,159
Speaker 5: You can call them somebody whatever you want to call

524
00:26:52,240 --> 00:26:54,120
Speaker 5: them as his name doesn't matter right when you control

525
00:26:54,160 --> 00:26:57,280
Speaker 5: for that. So that was a big paper and then

526
00:26:57,320 --> 00:26:58,720
Speaker 5: Clay the one that got him in trouble, and he

527
00:26:58,760 --> 00:27:03,359
Speaker 5: talked about this recently with Barry Weiss over at the.

528
00:27:03,960 --> 00:27:05,000
Speaker 3: Free Press.

529
00:27:06,320 --> 00:27:10,480
Speaker 5: Was he did an analysis of police involved that givit.

530
00:27:10,560 --> 00:27:13,680
Speaker 5: What he found was that use of force against against

531
00:27:13,720 --> 00:27:18,080
Speaker 5: black men by cops when it comes to more minor

532
00:27:18,160 --> 00:27:21,399
Speaker 5: use of force, so you know, frisking, any kind of

533
00:27:21,440 --> 00:27:24,920
Speaker 5: striking with the hands, any kind of pushing, more likely

534
00:27:24,960 --> 00:27:29,480
Speaker 5: to happen with police to blackmail interactions. That's what That's

535
00:27:29,480 --> 00:27:32,679
Speaker 5: what his analysis found. But he also found, and this

536
00:27:32,760 --> 00:27:35,800
Speaker 5: is in a whole range of different tiers of analysis

537
00:27:35,800 --> 00:27:40,560
Speaker 5: and research, that it is not the case that black

538
00:27:40,600 --> 00:27:43,280
Speaker 5: men are more likely to be killed under similar circumstances

539
00:27:43,280 --> 00:27:45,680
Speaker 5: than white men by law enforcement. In fact, white men

540
00:27:45,760 --> 00:27:49,440
Speaker 5: are more likely to face lethal force from police under

541
00:27:49,440 --> 00:27:50,560
Speaker 5: the same circumstances.

542
00:27:50,920 --> 00:27:51,879
Speaker 3: Based on the data.

543
00:27:52,480 --> 00:27:56,199
Speaker 5: The the the left went nuts and we have a

544
00:27:56,200 --> 00:27:57,919
Speaker 5: cut of him, and then I was here he is

545
00:27:58,000 --> 00:28:01,479
Speaker 5: saying this, explaining this, what is it twenty six I

546
00:28:01,520 --> 00:28:04,240
Speaker 5: think what he faced when this happened place.

547
00:28:04,320 --> 00:28:06,359
Speaker 8: Yes, we saw some bias in the low level uses

548
00:28:06,400 --> 00:28:08,480
Speaker 8: of force every day, pushing up against cars and things

549
00:28:08,560 --> 00:28:11,320
Speaker 8: like that. People sent to like that result. But we

550
00:28:11,400 --> 00:28:15,560
Speaker 8: didn't find any racial bias in police shootings. Now that

551
00:28:15,760 --> 00:28:18,680
Speaker 8: was really surprising to me because I expected to see it.

552
00:28:18,680 --> 00:28:21,159
Speaker 8: It was posted for four minutes when I got my

553
00:28:21,200 --> 00:28:23,919
Speaker 8: first email, this is full of it doesn't make any sense,

554
00:28:24,040 --> 00:28:24,800
Speaker 8: and I wrote.

555
00:28:24,600 --> 00:28:26,479
Speaker 3: Back, how did you read it that fast?

556
00:28:27,000 --> 00:28:29,840
Speaker 8: I had colleagues take me into the side and say,

557
00:28:30,160 --> 00:28:33,440
Speaker 8: don't publish this. You're ruin your career. I said, what's

558
00:28:33,440 --> 00:28:35,600
Speaker 8: wrong with it? Do you believe the first part?

559
00:28:35,840 --> 00:28:36,119
Speaker 3: Yes?

560
00:28:36,440 --> 00:28:39,520
Speaker 8: Do you believe the second part? Well, it's the issue

561
00:28:39,640 --> 00:28:42,240
Speaker 8: is they just don't fit together. I said to them,

562
00:28:42,280 --> 00:28:45,160
Speaker 8: if the second part showed bias, do you think I

563
00:28:45,200 --> 00:28:47,200
Speaker 8: should publish it then? And they say, yeah, then it

564
00:28:47,240 --> 00:28:47,960
Speaker 8: would make sense.

565
00:28:50,280 --> 00:28:53,760
Speaker 5: Clay, I think we all understand why the truth does

566
00:28:53,800 --> 00:28:55,800
Speaker 5: not matter in society these days.

567
00:28:56,360 --> 00:29:00,760
Speaker 2: I also think it makes logical sense. And some of

568
00:29:00,800 --> 00:29:02,960
Speaker 2: you are gonna say, maybe your eyebrows go up. You say,

569
00:29:03,080 --> 00:29:05,520
Speaker 2: what do you mean by that? I think there has

570
00:29:05,640 --> 00:29:11,920
Speaker 2: been so much focus on police shootings of minorities, black

571
00:29:11,960 --> 00:29:18,360
Speaker 2: people in particular, that police officers know what happens if

572
00:29:18,400 --> 00:29:24,040
Speaker 2: they get it wrong, such that they actually are less

573
00:29:24,280 --> 00:29:28,520
Speaker 2: It makes total sense to me, Buck, And I bet

574
00:29:28,560 --> 00:29:32,840
Speaker 2: what you see is the data has become even more

575
00:29:32,920 --> 00:29:38,360
Speaker 2: pronounced in the year since, because if any cop watched

576
00:29:38,400 --> 00:29:43,600
Speaker 2: the George Floyd video, any cop watched that video. Any

577
00:29:43,640 --> 00:29:47,120
Speaker 2: cop watches any of these viral shooting videos.

578
00:29:47,920 --> 00:29:53,360
Speaker 3: Cops know that they only get scrutinized now if they

579
00:29:53,400 --> 00:29:55,080
Speaker 3: shoot a black guy.

580
00:29:55,960 --> 00:29:59,160
Speaker 2: We've seen some of these videos buck of white guys

581
00:29:59,200 --> 00:30:01,160
Speaker 2: getting shot by police officers.

582
00:30:01,560 --> 00:30:04,400
Speaker 3: The one and you may remember the guy's name, when.

583
00:30:04,400 --> 00:30:09,120
Speaker 5: Arizona Daniel Shaver killed by officer Brailsford on video with

584
00:30:09,200 --> 00:30:11,560
Speaker 5: a long gun. The kid is blubbering on the ground,

585
00:30:11,600 --> 00:30:12,640
Speaker 5: crying for his life.

586
00:30:12,880 --> 00:30:14,160
Speaker 3: Yes, it is.

587
00:30:14,280 --> 00:30:20,080
Speaker 2: I think the worst example of a police violent act

588
00:30:20,400 --> 00:30:23,440
Speaker 2: on video that I've ever seen. The district attorney charged

589
00:30:23,880 --> 00:30:27,960
Speaker 2: the scheduler. The Tyree Nichols case was also brutal. But

590
00:30:28,000 --> 00:30:30,240
Speaker 2: what happened when the with the case in Arizona, the

591
00:30:30,240 --> 00:30:32,680
Speaker 2: white kid, The district attorney charged it as.

592
00:30:32,600 --> 00:30:38,360
Speaker 5: Manslaughter and a jury, inexplicably to me, found him not guilty,

593
00:30:38,480 --> 00:30:41,560
Speaker 5: found the officer not guilty. It was one of the

594
00:30:41,560 --> 00:30:44,880
Speaker 5: most grotesque miss miscarriages of justice when it comes to

595
00:30:44,920 --> 00:30:47,760
Speaker 5: a police involved excessive force shooting of every I mean

596
00:30:47,960 --> 00:30:52,320
Speaker 5: there was also the one in South Carolina where the

597
00:30:52,360 --> 00:30:53,440
Speaker 5: individual was running away.

598
00:30:53,440 --> 00:30:54,080
Speaker 3: I mean that was an.

599
00:30:54,040 --> 00:30:57,280
Speaker 5: Execution that guy, yes, but that cop was found guilty,

600
00:30:57,320 --> 00:30:59,680
Speaker 5: and I think got yes twenty five to life. This

601
00:30:59,760 --> 00:31:01,920
Speaker 5: cop got away with it one in Arizona.

602
00:31:02,480 --> 00:31:06,200
Speaker 2: And the data reflects, and this blows people's mind that

603
00:31:07,200 --> 00:31:12,400
Speaker 2: seventy five percent of all police shootings involve races other

604
00:31:12,480 --> 00:31:16,040
Speaker 2: than black people. And when you say that, it's it's

605
00:31:16,080 --> 00:31:20,440
Speaker 2: as if the world is completely different than what people anticipated.

606
00:31:21,600 --> 00:31:24,120
Speaker 2: Fifty percent of people that get shot and killed by

607
00:31:24,160 --> 00:31:28,560
Speaker 2: police are white, around twenty five percent are Hispanic or other,

608
00:31:29,200 --> 00:31:33,440
Speaker 2: twenty five percent are black, and that means seventy five

609
00:31:33,480 --> 00:31:37,880
Speaker 2: percent of all police shootings involve people other than black individuals,

610
00:31:38,280 --> 00:31:42,600
Speaker 2: and it's studying most people have no concept of that reality. Now,

611
00:31:42,600 --> 00:31:46,840
Speaker 2: it's true that black people represent whatever thirteen percent of population,

612
00:31:47,040 --> 00:31:51,920
Speaker 2: so per capita, that's an exaggerated number, but police don't

613
00:31:51,920 --> 00:31:57,000
Speaker 2: interact with everybody evenly. Black people commit violent crime at

614
00:31:57,120 --> 00:31:59,520
Speaker 2: higher rates than their overall population would.

615
00:31:59,320 --> 00:32:02,720
Speaker 3: Reflect, so they act with police more frequently. There's so

616
00:32:02,840 --> 00:32:03,440
Speaker 3: much here.

617
00:32:03,840 --> 00:32:08,800
Speaker 5: There's obviously, are the way that shootings and violence are

618
00:32:08,840 --> 00:32:12,400
Speaker 5: covered in the media and just the national conversation around them,

619
00:32:12,400 --> 00:32:15,400
Speaker 5: the general mass perception of these issues, and that's what

620
00:32:15,480 --> 00:32:16,760
Speaker 5: he was going to here.

621
00:32:17,840 --> 00:32:18,960
Speaker 3: And there have been other instances.

622
00:32:19,000 --> 00:32:20,840
Speaker 5: I mean, for example, it was there was a study

623
00:32:20,880 --> 00:32:24,480
Speaker 5: that was done a long time ago, and hat tip

624
00:32:24,800 --> 00:32:28,520
Speaker 5: and Colter for bringing this one forward, where they looked

625
00:32:28,560 --> 00:32:32,239
Speaker 5: at driving on the New Jersey Turnpike. And there was

626
00:32:32,280 --> 00:32:35,920
Speaker 5: this belief that driving on the New Jersey, which anyone

627
00:32:35,960 --> 00:32:37,680
Speaker 5: who's ever been on ninety five, you know, you know

628
00:32:37,720 --> 00:32:39,840
Speaker 5: the stretch of what I'm talking about between you know,

629
00:32:39,840 --> 00:32:42,240
Speaker 5: you're getting close to New York there and you're on

630
00:32:42,280 --> 00:32:44,120
Speaker 5: the New Jersey Turnpike. And there was a belief that

631
00:32:44,200 --> 00:32:47,200
Speaker 5: somehow state troopers were being racist because of the numbers

632
00:32:47,280 --> 00:32:50,840
Speaker 5: of people that they were pulling over who were black.

633
00:32:51,200 --> 00:32:52,080
Speaker 3: That was the story.

634
00:32:52,560 --> 00:32:54,760
Speaker 5: So they set up speed cameras to look at this

635
00:32:54,840 --> 00:32:56,600
Speaker 5: day of New Jersey pay to do this whole thing.

636
00:32:56,600 --> 00:33:00,560
Speaker 5: They set up speed cameras and well, for of all,

637
00:33:01,000 --> 00:33:05,600
Speaker 5: as anyone could think this one through, right, cars going

638
00:33:05,760 --> 00:33:08,360
Speaker 5: eighty miles an hour, you're a copyre you know, are

639
00:33:08,400 --> 00:33:13,000
Speaker 5: you really able to see the race of the individual

640
00:33:13,600 --> 00:33:15,400
Speaker 5: who was driving the car? And this is back in

641
00:33:15,440 --> 00:33:16,920
Speaker 5: like the nineties, I think that the way maybe early

642
00:33:16,920 --> 00:33:17,440
Speaker 5: two thousands.

643
00:33:17,480 --> 00:33:18,400
Speaker 3: Can you see the answers?

644
00:33:18,480 --> 00:33:21,080
Speaker 5: No, the answers, you got your you got your speed

645
00:33:21,120 --> 00:33:23,400
Speaker 5: gun out, yep, and you're just you're just you know,

646
00:33:23,440 --> 00:33:26,080
Speaker 5: putting it on the car, and what they found was, Okay,

647
00:33:26,120 --> 00:33:30,400
Speaker 5: it actually wasn't. It was the case that basically everyone

648
00:33:30,480 --> 00:33:33,640
Speaker 5: speeds as a proportion of drivers on the road, men,

649
00:33:34,040 --> 00:33:38,560
Speaker 5: by the way, equally black, Hispanic, white. You know, I

650
00:33:38,560 --> 00:33:41,040
Speaker 5: think actually Asians sped less than the rest. But put

651
00:33:41,080 --> 00:33:42,880
Speaker 5: that aside for a second. We're a little less speeding.

652
00:33:43,320 --> 00:33:46,360
Speaker 5: But you know, effectively, everybody was speeding in their general

653
00:33:46,920 --> 00:33:49,560
Speaker 5: range of what they're on the population. But when it

654
00:33:49,600 --> 00:33:54,080
Speaker 5: came to extreme speeding twenty five miles an hour plus,

655
00:33:54,440 --> 00:33:58,520
Speaker 5: there was an overwhelming disparity of black drivers on the

656
00:33:58,560 --> 00:34:01,440
Speaker 5: New Jersey Turnpike who were going twenty five miles an

657
00:34:01,440 --> 00:34:03,640
Speaker 5: hour over the so you know they're going, uh what

658
00:34:03,800 --> 00:34:06,880
Speaker 5: ninety miles an hour plus. Yeah, and that, and so

659
00:34:07,000 --> 00:34:08,359
Speaker 5: when you look at the data, you say, well, hold

660
00:34:08,400 --> 00:34:09,719
Speaker 5: on a second, what does this tell us, Well, it's

661
00:34:09,719 --> 00:34:12,120
Speaker 5: actually just telling us that, for whatever reason, on that

662
00:34:12,120 --> 00:34:15,759
Speaker 5: stretch of road, there was a disparity among individuals going

663
00:34:15,800 --> 00:34:19,640
Speaker 5: at extreme rates of excessive speed who are the most

664
00:34:19,719 --> 00:34:21,640
Speaker 5: likely to be pulled over because cops will let you

665
00:34:21,719 --> 00:34:25,160
Speaker 5: go usually five ten miles an hour over similar thing here,

666
00:34:25,640 --> 00:34:27,719
Speaker 5: you look at these stories and whether it's about the

667
00:34:27,800 --> 00:34:30,680
Speaker 5: names or about the shootings play. We're supposed to believe

668
00:34:30,719 --> 00:34:33,560
Speaker 5: certain things. And that's what Harvard was telling Professor Fryer.

669
00:34:34,000 --> 00:34:36,960
Speaker 5: You're supposed to believe it even if it's not true.

670
00:34:37,000 --> 00:34:39,960
Speaker 5: It doesn't matter that it's not true to them.

671
00:34:40,280 --> 00:34:42,600
Speaker 3: And that's what I think is also so key about

672
00:34:42,600 --> 00:34:43,040
Speaker 3: this Buck.

673
00:34:43,920 --> 00:34:47,520
Speaker 2: They said, in theory, why do you do with study

674
00:34:48,320 --> 00:34:51,600
Speaker 2: to confirm whether something that you believe is true or false?

675
00:34:51,800 --> 00:34:54,640
Speaker 2: That's the entire purpose of it. You have a hypothesis,

676
00:34:54,760 --> 00:34:57,120
Speaker 2: you have a theory. You do a study to determine

677
00:34:57,120 --> 00:35:00,919
Speaker 2: whether or not it is reflective of reality. What they

678
00:35:00,920 --> 00:35:05,799
Speaker 2: were telling him at Harvard was, you can't publish a

679
00:35:05,920 --> 00:35:12,560
Speaker 2: study that challenges what our beliefs already are in theory.

680
00:35:12,600 --> 00:35:16,400
Speaker 2: That's what science should do, right, the existence of science

681
00:35:16,560 --> 00:35:20,080
Speaker 2: or study in general, It's really not very interesting. If

682
00:35:20,120 --> 00:35:24,160
Speaker 2: you do a study and it just serves to reconfirm

683
00:35:24,239 --> 00:35:26,920
Speaker 2: what people already believe, it actually defeats kind of the

684
00:35:27,000 --> 00:35:28,680
Speaker 2: whole purpose of the study in the first place.

685
00:35:29,120 --> 00:35:31,520
Speaker 5: And what's interesting is, and he brought this up in

686
00:35:31,560 --> 00:35:33,279
Speaker 5: that sound bite when he was doing these sit down

687
00:35:33,280 --> 00:35:39,920
Speaker 5: with Barry Weiss. Most of his analysis when along with

688
00:35:40,080 --> 00:35:44,000
Speaker 5: Now I could actually get into well, are you know

689
00:35:45,280 --> 00:35:48,880
Speaker 5: is there more profanity being used? Are there more you know,

690
00:35:48,960 --> 00:35:52,720
Speaker 5: are the verbal interactions with police more aggressive among different groups?

691
00:35:52,719 --> 00:35:54,839
Speaker 5: Like you could actually start to parse the data on

692
00:35:54,960 --> 00:35:57,799
Speaker 5: the less than lethal use of force more to get

693
00:35:57,800 --> 00:35:59,600
Speaker 5: a better sens as to what's going on or just

694
00:35:59,640 --> 00:36:02,319
Speaker 5: the cop you know, is there a systemic racism here?

695
00:36:02,400 --> 00:36:02,520
Speaker 3: Right?

696
00:36:02,520 --> 00:36:04,840
Speaker 5: Those are the questions that you would be able to ask,

697
00:36:05,640 --> 00:36:07,880
Speaker 5: but most of it aligned with what they wanted Clay,

698
00:36:08,200 --> 00:36:12,280
Speaker 5: because the one point though about lethal use of force

699
00:36:12,400 --> 00:36:16,200
Speaker 5: by police, we have been told that cops will shoot

700
00:36:16,200 --> 00:36:19,480
Speaker 5: somebody because they are black, or at some level they

701
00:36:19,480 --> 00:36:22,719
Speaker 5: are more likely to shoot someone because they're black. Of

702
00:36:22,800 --> 00:36:25,759
Speaker 5: all the things, he found that one thing statistically did

703
00:36:25,800 --> 00:36:27,759
Speaker 5: not line up. In fact, when the other direction, you're

704
00:36:27,760 --> 00:36:30,560
Speaker 5: more likely to be shot if you're white by cops

705
00:36:30,840 --> 00:36:34,000
Speaker 5: under the same set of circumstances, you know, armed, approaching

706
00:36:34,000 --> 00:36:37,560
Speaker 5: the officer, etc. They wanted him to be ruined. They

707
00:36:37,640 --> 00:36:41,360
Speaker 5: wanted the youngest tenured professor at Harvard to lose tenure

708
00:36:41,960 --> 00:36:44,200
Speaker 5: because of this, and Claudiine Gay.

709
00:36:44,160 --> 00:36:48,200
Speaker 3: Former president of Harvard, was a part of that. And Buck,

710
00:36:48,480 --> 00:36:50,760
Speaker 3: the conversation isn't even allowed to occur.

711
00:36:51,280 --> 00:36:55,560
Speaker 2: That's the thing that really to me calls out the

712
00:36:56,640 --> 00:36:59,879
Speaker 2: dishonesty of anyone who claims that they care about by

713
00:37:00,120 --> 00:37:03,960
Speaker 2: once even I think we come back, I'll mention it again.

714
00:37:04,080 --> 00:37:06,600
Speaker 3: But this Kansas City juvenile shooting.

715
00:37:06,200 --> 00:37:09,000
Speaker 2: That happened at the Super Bowl parade, it's a story

716
00:37:09,040 --> 00:37:12,640
Speaker 2: that everybody's talking about. We talked about it yesterday. We

717
00:37:12,680 --> 00:37:15,200
Speaker 2: still don't know the names of these kids. How long

718
00:37:15,239 --> 00:37:17,320
Speaker 2: did it take for us to know the name of

719
00:37:18,520 --> 00:37:24,719
Speaker 2: the shooter in in Waukeshaw. He's a minor that they

720
00:37:24,760 --> 00:37:28,319
Speaker 2: tried to put in prison, Kyrio Cayle Rittenhouse. We knew

721
00:37:28,360 --> 00:37:31,600
Speaker 2: his name, We knew everything about him within forty eight hours,

722
00:37:32,760 --> 00:37:34,680
Speaker 2: calling for him to face like the gas chamber.

723
00:37:34,760 --> 00:37:37,560
Speaker 3: Yes, people are psychopaths, and he was about that's a

724
00:37:37,600 --> 00:37:39,120
Speaker 3: Catholic kid, minor.

725
00:37:39,280 --> 00:37:41,359
Speaker 2: What about the kid who wore the head dress and

726
00:37:41,440 --> 00:37:43,160
Speaker 2: went to the Kansas City Chiefs game.

727
00:37:43,200 --> 00:37:45,080
Speaker 3: He's a minor. All that stuff comes out.

728
00:37:45,320 --> 00:37:47,120
Speaker 2: Why can we not get and by the way, why

729
00:37:47,160 --> 00:37:51,040
Speaker 2: aren't those kids being charged as adults who shot twenty

730
00:37:51,120 --> 00:37:54,480
Speaker 2: people if they're sixteen years old, which is the report

731
00:37:54,520 --> 00:37:55,160
Speaker 2: that I've seen.

732
00:37:56,040 --> 00:37:57,480
Speaker 3: If you shoot twenty people.

733
00:37:57,200 --> 00:38:00,279
Speaker 2: And you're sixteen years old. To me, I think to

734
00:38:00,280 --> 00:38:02,600
Speaker 2: treat you like a juvenile might not be the appropriate

735
00:38:03,200 --> 00:38:04,440
Speaker 2: mechanism for justice here.

736
00:38:05,120 --> 00:38:07,920
Speaker 5: No, if you're if you are in your thirties and

737
00:38:07,960 --> 00:38:12,480
Speaker 5: it's found that you tweeted a very bad word or

738
00:38:12,480 --> 00:38:16,799
Speaker 5: something racially incentive, you know, insensitive, you know, when you

739
00:38:16,800 --> 00:38:20,600
Speaker 5: were fourteen or whatever, your life should be ruined. You

740
00:38:20,640 --> 00:38:23,080
Speaker 5: should be unemployable for all of you know. If you

741
00:38:23,160 --> 00:38:25,040
Speaker 5: if you're if you're your twenties and you wrote something

742
00:38:25,080 --> 00:38:27,320
Speaker 5: when you're fourteen that's on the Internet that someone finds

743
00:38:27,360 --> 00:38:30,200
Speaker 5: that's racist, you should never be employable. You should lose.

744
00:38:30,320 --> 00:38:33,920
Speaker 5: But if you're sixteen you shoot twenty people, well, you know,

745
00:38:34,040 --> 00:38:36,520
Speaker 5: let's not let's not drag their name through the mud

746
00:38:36,560 --> 00:38:39,720
Speaker 5: too much online. It's pretty clear what's going on here, folks.

747
00:38:40,239 --> 00:38:42,719
Speaker 5: We'll talk more about this on the other side and

748
00:38:42,760 --> 00:38:44,560
Speaker 5: also take some of your calls. Eight hundred two A

749
00:38:44,600 --> 00:38:47,920
Speaker 5: two two eight eight two. I took it this morning,

750
00:38:48,160 --> 00:38:50,160
Speaker 5: and I had a great gym workout, although it's going

751
00:38:50,239 --> 00:38:52,080
Speaker 5: to be naptime after the radio show because I had

752
00:38:52,120 --> 00:38:55,360
Speaker 5: so much energy, so much focus, that actually tires me

753
00:38:55,360 --> 00:38:57,920
Speaker 5: out a little bit afterwards. Chad mode is amazing. It's

754
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755
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756
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Speaker 5: energy and focus. You just take one scoop of this

757
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Speaker 5: chad Mode, like I said, I did it this morning.

758
00:39:08,080 --> 00:39:09,960
Speaker 3: Mix it in with water or juice. You're good to go.

759
00:39:10,000 --> 00:39:11,720
Speaker 5: I take it just with water because I like the taste,

760
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Speaker 5: but with a little juice it'll be delicious. And that's

761
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Speaker 5: something you can do before hitting the gym or taking

762
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Speaker 5: on a big project where you need energy, drive and focus.

763
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Speaker 5: Great thing about chad Mode, no jitters or crash. You're

764
00:39:24,600 --> 00:39:27,240
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765
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766
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Speaker 5: supplements have junk in there, but Chalk is all clean,

767
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768
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769
00:39:37,560 --> 00:39:40,040
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770
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771
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772
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773
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774
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Speaker 1: One truth revealed after another. Clay Travis and Buck Sexton.

781
00:40:16,680 --> 00:40:20,680
Speaker 2: Welcome in our three Clay Travis Buck Sexton Show. Encourage

782
00:40:20,719 --> 00:40:23,359
Speaker 2: all of you to go subscribe to the podcast. Make

783
00:40:23,360 --> 00:40:28,240
Speaker 2: sure you don't miss a moment. Also, three hours every

784
00:40:28,440 --> 00:40:32,279
Speaker 2: single day of video unless one or the other of

785
00:40:32,360 --> 00:40:35,360
Speaker 2: us is on the road somewhere, but we are now

786
00:40:35,480 --> 00:40:38,760
Speaker 2: here for a little bit in a row several weeks.

787
00:40:38,800 --> 00:40:40,680
Speaker 3: We'll wrote waving at you.

788
00:40:40,680 --> 00:40:43,040
Speaker 2: You get see me, you get see Buck behind the

789
00:40:43,120 --> 00:40:47,879
Speaker 2: vip at playandbuck dot com. We appreciate all of you there,

790
00:40:48,440 --> 00:40:51,359
Speaker 2: particularly all of the grandma's out.

791
00:40:51,280 --> 00:40:52,920
Speaker 3: There that are big fans of mine.

792
00:40:53,000 --> 00:40:58,239
Speaker 2: We bring in now Ryan Gerdusky, who was sharing an

793
00:40:58,280 --> 00:41:03,360
Speaker 2: interesting poll that we started off the show discussing the Siena,

794
00:41:03,560 --> 00:41:07,360
Speaker 2: New York State Pole. And Ryan, we bring you on

795
00:41:07,400 --> 00:41:09,600
Speaker 2: because we like you to break down the data for us,

796
00:41:09,680 --> 00:41:11,760
Speaker 2: and I want to start with the question that I

797
00:41:11,800 --> 00:41:16,239
Speaker 2: started the show with today and that was according to

798
00:41:16,320 --> 00:41:20,440
Speaker 2: that poll, Donald Trump now leads in New York State

799
00:41:20,600 --> 00:41:24,040
Speaker 2: among Jewish voters. I believe the number was fifty three

800
00:41:24,120 --> 00:41:27,799
Speaker 2: to forty four. Did that surprise you? Does it have

801
00:41:27,960 --> 00:41:32,120
Speaker 2: staying power? Have we seen a shift based on October seventh?

802
00:41:32,440 --> 00:41:35,960
Speaker 2: How would you analyze this as it pertains to the

803
00:41:36,040 --> 00:41:38,440
Speaker 2: Jewish vote not only in New York but potentially around

804
00:41:38,440 --> 00:41:38,960
Speaker 2: the country.

805
00:41:39,640 --> 00:41:42,720
Speaker 7: So there have been three polls above the Jewish votes

806
00:41:42,800 --> 00:41:46,520
Speaker 7: since October the seventh in about New York State, all

807
00:41:46,560 --> 00:41:50,200
Speaker 7: by Sienna, and Trump's numbers among Jewish voters in the

808
00:41:50,320 --> 00:41:53,320
Speaker 7: subset of the Siena Pole went from twenty nine percent

809
00:41:53,840 --> 00:41:59,120
Speaker 7: on October fifteenth to fifty four percent in fifty three

810
00:41:59,120 --> 00:42:02,200
Speaker 7: percent rather the latest poll that came out today. It's

811
00:42:02,239 --> 00:42:06,040
Speaker 7: a significant shift. It's very very high, and nationwide we

812
00:42:06,080 --> 00:42:08,320
Speaker 7: don't know the exact number, but he got about thirty

813
00:42:08,360 --> 00:42:10,920
Speaker 7: to thirty three percent of the Jewish vote in twenty

814
00:42:10,960 --> 00:42:14,879
Speaker 7: twenty nationwide. I'm not exactly sure of New York. New York,

815
00:42:15,200 --> 00:42:19,560
Speaker 7: unlike other places with significant New York has the largest

816
00:42:19,640 --> 00:42:22,720
Speaker 7: Jewish population in the country. Nine percent of the entire

817
00:42:22,760 --> 00:42:25,239
Speaker 7: state is Jewish, but It also has one of the

818
00:42:25,360 --> 00:42:30,080
Speaker 7: largest Orthodox and Hassidic populations, which tend to be far

819
00:42:30,200 --> 00:42:33,279
Speaker 7: more republican, not just by the average Jewish voter, but

820
00:42:33,320 --> 00:42:37,239
Speaker 7: far more republican than the average voter. And Orthodox and

821
00:42:37,280 --> 00:42:41,479
Speaker 7: Hasidic voters, especially on federal issues, both very very very

822
00:42:41,600 --> 00:42:46,080
Speaker 7: very republican. So what we could be seeing in New

823
00:42:46,160 --> 00:42:47,839
Speaker 7: York and the reason why New York moves so far

824
00:42:47,920 --> 00:42:52,080
Speaker 7: right could be because the Pole could have oversampled Orthodox

825
00:42:52,120 --> 00:42:55,520
Speaker 7: and Hasidic voters, or it could be that just these

826
00:42:55,600 --> 00:42:58,800
Speaker 7: voters are just moving to the right over several issues,

827
00:42:58,920 --> 00:43:02,479
Speaker 7: especially with the oath of anti Semitism that we've seen

828
00:43:02,480 --> 00:43:03,880
Speaker 7: from the far left in this country.

829
00:43:04,880 --> 00:43:08,279
Speaker 5: Hey, Ryan, it's buck. You know the migrant situation in

830
00:43:08,280 --> 00:43:10,040
Speaker 5: New York. We're just talking about the Jewish vote in

831
00:43:10,080 --> 00:43:14,600
Speaker 5: New York. Migrant situation is obviously also getting a lot

832
00:43:14,600 --> 00:43:19,399
Speaker 5: of national attention. There's this video of cops fighting at

833
00:43:19,560 --> 00:43:21,319
Speaker 5: Randalls Island, which is where I used to play high

834
00:43:21,320 --> 00:43:22,000
Speaker 5: school sports.

835
00:43:22,000 --> 00:43:25,239
Speaker 3: This is a side note. We used to have the facilities.

836
00:43:24,680 --> 00:43:27,920
Speaker 5: There for basketball, so I'm not basketball, a soccer, football,

837
00:43:28,520 --> 00:43:31,640
Speaker 5: you know, outdoor sports, and they've now turned it into

838
00:43:31,680 --> 00:43:34,000
Speaker 5: a refugee camp. I mean, there's a refugee camp on

839
00:43:34,120 --> 00:43:38,800
Speaker 5: Randalls Island, NYPD having to fight and kick and punch

840
00:43:39,440 --> 00:43:41,640
Speaker 5: with the migrants who were throwing chairs at them and

841
00:43:41,680 --> 00:43:44,640
Speaker 5: everything else in this three thousand bed facility. It felt

842
00:43:44,680 --> 00:43:48,960
Speaker 5: like the Democrats believe they had it all moving in,

843
00:43:49,080 --> 00:43:51,319
Speaker 5: you know, or they thought they had a strategy with

844
00:43:51,360 --> 00:43:53,880
Speaker 5: this bill that then Republicans in the Senate did not

845
00:43:54,000 --> 00:43:56,839
Speaker 5: go along with. But what are we seeing in terms

846
00:43:56,840 --> 00:44:00,200
Speaker 5: of actual perception and numbers on that one, because now

847
00:44:00,239 --> 00:44:03,640
Speaker 5: they're saying Biden may take matters into his own hands,

848
00:44:03,640 --> 00:44:05,240
Speaker 5: and it's like, well, hold on, I thought he couldn't

849
00:44:05,280 --> 00:44:06,440
Speaker 5: do that before.

850
00:44:06,920 --> 00:44:08,960
Speaker 7: Right, I mean, Biden always had the ability to do

851
00:44:09,000 --> 00:44:11,680
Speaker 7: something on immigration. This is not like this is the

852
00:44:11,680 --> 00:44:14,239
Speaker 7: first president who's ever had a border crisis. We've had

853
00:44:14,520 --> 00:44:17,200
Speaker 7: every president, recent presidents at a border crisis of one

854
00:44:17,239 --> 00:44:19,960
Speaker 7: from the other, and every presence done executive things. I mean,

855
00:44:20,000 --> 00:44:22,160
Speaker 7: Joe Biden stood on the stage that he would give

856
00:44:22,200 --> 00:44:24,799
Speaker 7: free health care to illegal alliance, he wouldn't deport them,

857
00:44:25,600 --> 00:44:28,160
Speaker 7: and he would try to fast track away for amnesty.

858
00:44:28,600 --> 00:44:30,799
Speaker 7: So of course they came, and I think what a

859
00:44:30,840 --> 00:44:34,600
Speaker 7: lot of misperception from Democrat elected.

860
00:44:34,280 --> 00:44:35,920
Speaker 3: Officials was was well.

861
00:44:35,760 --> 00:44:38,320
Speaker 7: How bad could the border crisis be. We've dealt with

862
00:44:38,400 --> 00:44:40,800
Speaker 7: border crisis of a million people in the past before,

863
00:44:41,040 --> 00:44:43,600
Speaker 7: We've never dealt with a border crisis of seven million people.

864
00:44:43,600 --> 00:44:45,880
Speaker 7: In my comment I always make to deal is what

865
00:44:45,920 --> 00:44:47,919
Speaker 7: are you going to do when one hundred million people come?

866
00:44:48,040 --> 00:44:50,719
Speaker 7: Because if you continue to do what is going on,

867
00:44:50,760 --> 00:44:53,640
Speaker 7: one hundred million people will eventually make their way into

868
00:44:53,680 --> 00:44:56,400
Speaker 7: the United States of America be dependent on the state,

869
00:44:56,600 --> 00:44:59,920
Speaker 7: overwhelm the systems, and the systems will collapse. You have Massachusetts,

870
00:45:00,239 --> 00:45:04,320
Speaker 7: the state of Massachusetts just cut a state program dedicated

871
00:45:04,360 --> 00:45:09,160
Speaker 7: to funding firefighters for smaller or lower income municipalities in

872
00:45:09,200 --> 00:45:12,560
Speaker 7: the state to pay for their migrant crisis. In New

873
00:45:12,640 --> 00:45:15,520
Speaker 7: York State, we're looking at sanitation and police force cuts.

874
00:45:15,560 --> 00:45:19,319
Speaker 7: Denvers dealing with similar cuts. Chicago will deal with the

875
00:45:19,320 --> 00:45:22,040
Speaker 7: same exact thing. They cannot afford this micro crisis at

876
00:45:22,080 --> 00:45:24,680
Speaker 7: the level it is, and if Biden wins the second term,

877
00:45:24,719 --> 00:45:28,000
Speaker 7: it will I wouldn't be shocked if it doubled, and

878
00:45:28,040 --> 00:45:33,120
Speaker 7: it will one bankrupt many many municipalities or see vast,

879
00:45:33,520 --> 00:45:37,640
Speaker 7: vast spending cuts by these municipalities. So as far as

880
00:45:37,360 --> 00:45:39,920
Speaker 7: it as far as it goes with with Democrats. I mean,

881
00:45:39,920 --> 00:45:42,319
Speaker 7: you saw Thomas Wazi in the special election in New

882
00:45:42,360 --> 00:45:45,680
Speaker 7: York Third talk about needing to create, you know, some

883
00:45:45,800 --> 00:45:47,759
Speaker 7: kind of plan that sist that there and militarize the

884
00:45:47,760 --> 00:45:51,160
Speaker 7: border and protect the border. I think Democrats are, especially

885
00:45:51,160 --> 00:45:53,480
Speaker 7: in swing areas, are seeing the riding on the wall.

886
00:45:53,520 --> 00:45:56,840
Speaker 7: There was a bill to make DUIs and Social Security

887
00:45:56,840 --> 00:46:00,640
Speaker 7: for fraud a deportable offense, and every Democrat in the

888
00:46:00,640 --> 00:46:04,560
Speaker 7: country in a moderate to swing district voted in favor

889
00:46:04,600 --> 00:46:06,719
Speaker 7: of the bill. It was only Democrats in deep, deep

890
00:46:06,760 --> 00:46:10,000
Speaker 7: blue districts that voted against us. But I think the

891
00:46:10,080 --> 00:46:13,120
Speaker 7: perception is there, and the perception the Democrats of our

892
00:46:13,160 --> 00:46:15,120
Speaker 7: week on the border is going to be very hard

893
00:46:15,160 --> 00:46:16,919
Speaker 7: to shape with or without this single bill.

894
00:46:17,320 --> 00:46:18,680
Speaker 3: We're talking to Ryan Gerdueski.

895
00:46:19,120 --> 00:46:21,000
Speaker 2: Ryan, I want to go back to that Ciena poll

896
00:46:21,080 --> 00:46:23,560
Speaker 2: because the other thing that stood out to me was

897
00:46:23,800 --> 00:46:27,520
Speaker 2: Trump wins. I think it was forty seven forty one

898
00:46:27,760 --> 00:46:31,480
Speaker 2: something like that among male voters. That is kind of

899
00:46:31,520 --> 00:46:33,520
Speaker 2: shocking for I think a lot of people Trump would

900
00:46:33,560 --> 00:46:37,239
Speaker 2: win New York State if only men were voting. But

901
00:46:37,520 --> 00:46:42,360
Speaker 2: the gender gap is insane when it comes to women

902
00:46:42,680 --> 00:46:47,040
Speaker 2: and their rejection of Trump. Is that the story written

903
00:46:47,080 --> 00:46:49,680
Speaker 2: large to you in many ways for twenty twenty four?

904
00:46:49,719 --> 00:46:51,560
Speaker 2: And I understand there's a difference Buck and I talked

905
00:46:51,560 --> 00:46:54,680
Speaker 2: about it between married women and single women. It's really

906
00:46:54,760 --> 00:46:58,040
Speaker 2: single women that are really turning their backs on Trump

907
00:46:58,120 --> 00:47:01,480
Speaker 2: and the Republican Party in general. But correct me if

908
00:47:01,480 --> 00:47:04,799
Speaker 2: I'm wrong. I think if only men voted, Trump would

909
00:47:04,840 --> 00:47:10,120
Speaker 2: win fifty states basically, and if only women voted, Biden

910
00:47:10,160 --> 00:47:14,000
Speaker 2: would win fifty states. We're setting up for potentially the

911
00:47:14,000 --> 00:47:17,840
Speaker 2: biggest gender imbalance maybe that we've ever seen. Do you

912
00:47:17,920 --> 00:47:22,040
Speaker 2: see that ameliorating changing somewhat or are we locked and

913
00:47:22,160 --> 00:47:24,680
Speaker 2: voted on one of the biggest gender gaps of all time.

914
00:47:25,320 --> 00:47:27,440
Speaker 7: Well, you know, if this is the fact that if

915
00:47:27,760 --> 00:47:30,360
Speaker 7: only men voted with the last Democrat we would have

916
00:47:30,360 --> 00:47:33,600
Speaker 7: elected in this country was Lyndon Johnson in nineteen sixty.

917
00:47:33,280 --> 00:47:37,279
Speaker 3: Four, that's an amazing stat Repeat that again. So the

918
00:47:37,360 --> 00:47:38,680
Speaker 3: only if only.

919
00:47:38,400 --> 00:47:41,320
Speaker 2: Men voted, the last Democrat that would have won was

920
00:47:41,400 --> 00:47:43,160
Speaker 2: Lyndon Johnson in nineteen sixty four.

921
00:47:43,880 --> 00:47:48,360
Speaker 7: Yes, it's the last time the Democrats won the male vote. Yeah,

922
00:47:48,400 --> 00:47:53,000
Speaker 7: it's it's it's it is it's the nineteenth Amendment. But

923
00:47:53,120 --> 00:47:56,880
Speaker 7: that is that is ultimately what changed it, And yeah,

924
00:47:57,280 --> 00:47:59,480
Speaker 7: that is I mean the young female vote, and there's

925
00:47:59,520 --> 00:48:03,040
Speaker 7: a lot younger women are more radicalized. They are more

926
00:48:03,080 --> 00:48:07,279
Speaker 7: democratic than younger men are, and it's increasing that that

927
00:48:07,480 --> 00:48:10,799
Speaker 7: I mean between college, the loss of religion, and the

928
00:48:10,920 --> 00:48:13,760
Speaker 7: lack of prospects for marriage, which are the three things

929
00:48:13,800 --> 00:48:17,040
Speaker 7: that push women to both more republican. All those three

930
00:48:17,120 --> 00:48:20,800
Speaker 7: things are enabling women to become more radicalized in progressive

931
00:48:20,840 --> 00:48:24,560
Speaker 7: beliefs and that I don't know how that changes or

932
00:48:25,040 --> 00:48:27,560
Speaker 7: when that changes, but that is what's happening. And on

933
00:48:27,600 --> 00:48:31,640
Speaker 7: the flip side, you're seeing younger men becoming more republican

934
00:48:31,680 --> 00:48:34,319
Speaker 7: and more conservative in their beliefs as well. And there's

935
00:48:34,360 --> 00:48:36,600
Speaker 7: a huge problem in the sense that younger people, people

936
00:48:36,680 --> 00:48:38,520
Speaker 7: under the age of eighteen, don't date that often, they

937
00:48:38,560 --> 00:48:42,400
Speaker 7: delay adulthood for longer and longer periods of time. They

938
00:48:42,400 --> 00:48:45,719
Speaker 7: don't drive as early as they'll work as early as

939
00:48:45,840 --> 00:48:50,760
Speaker 7: older generations do. There's a book Holds Generations by Gene Tweppie,

940
00:48:51,040 --> 00:48:53,560
Speaker 7: the author who talks a lot about this, and that's

941
00:48:53,600 --> 00:48:57,520
Speaker 7: a huge problem going forward. But it is a great

942
00:48:57,560 --> 00:49:01,040
Speaker 7: gender divide, and I don't know how that happens or

943
00:49:01,080 --> 00:49:03,680
Speaker 7: how it fixes. It's just a matter of do married

944
00:49:03,680 --> 00:49:05,680
Speaker 7: women sit there and show up in the polls and

945
00:49:05,719 --> 00:49:09,960
Speaker 7: do unmarried men show up? Because unmarried women, the Democratic

946
00:49:09,960 --> 00:49:13,240
Speaker 7: Party has become not only their hobby and their political

947
00:49:13,280 --> 00:49:15,120
Speaker 7: belief but also their church in many cases.

948
00:49:15,440 --> 00:49:17,719
Speaker 2: No, that's so fascinating. And by the way, quickly here

949
00:49:17,760 --> 00:49:19,680
Speaker 2: and then Buck wants to dive in. But when you

950
00:49:19,719 --> 00:49:23,600
Speaker 2: were saying that, does the data reflect that women become

951
00:49:23,719 --> 00:49:27,760
Speaker 2: more conservative when they get married or men become more liberal?

952
00:49:27,920 --> 00:49:30,239
Speaker 2: In other words, when we get the marriages here, what

953
00:49:30,280 --> 00:49:31,319
Speaker 2: does the data show us?

954
00:49:31,920 --> 00:49:36,640
Speaker 7: Usually it's what who has the stronger beliefs in the

955
00:49:36,480 --> 00:49:38,799
Speaker 7: in the marriage. I mean, if you marry, if you

956
00:49:38,800 --> 00:49:41,520
Speaker 7: are a moderate voter and you marry a very conservative

957
00:49:41,600 --> 00:49:44,600
Speaker 7: or liberal person, you will tend to reflect the beliefs

958
00:49:44,640 --> 00:49:47,600
Speaker 7: your moderation will will will decrease, and you will have

959
00:49:47,680 --> 00:49:50,560
Speaker 7: the beliefs of whoever you marry. It's a lot like religion.

960
00:49:50,800 --> 00:49:53,719
Speaker 7: The kids will often follow their religions of a parent

961
00:49:53,719 --> 00:49:55,080
Speaker 7: who is more religious.

962
00:49:56,120 --> 00:49:59,200
Speaker 5: Ryan Gurdwski with us and his sub stack, which you

963
00:49:59,200 --> 00:50:01,920
Speaker 5: should check out is the National Populist newsletter.

964
00:50:02,040 --> 00:50:02,320
Speaker 3: Ryan.

965
00:50:02,360 --> 00:50:06,560
Speaker 5: Thank you, you're very straightforward on your assessment of things.

966
00:50:06,640 --> 00:50:09,240
Speaker 5: One reason we like having you on. What is Nikki

967
00:50:09,320 --> 00:50:12,400
Speaker 5: Haley doing? We've got a few days before South Carolina.

968
00:50:12,880 --> 00:50:14,880
Speaker 5: What is the play here? What is the plan?

969
00:50:16,360 --> 00:50:19,560
Speaker 7: I mean, look, what does she have to lose by staying?

970
00:50:19,960 --> 00:50:22,360
Speaker 7: I always say, she doesn't have a job to go

971
00:50:22,520 --> 00:50:26,239
Speaker 7: home to, the kids are grown, the husband's out in

972
00:50:26,280 --> 00:50:30,160
Speaker 7: the military, there is nothing. She's always once run for president.

973
00:50:30,600 --> 00:50:33,120
Speaker 7: I mean, so she takes this position where she doesn't

974
00:50:33,200 --> 00:50:35,719
Speaker 7: drop out until Trump gets the needed delegates, which is

975
00:50:35,719 --> 00:50:38,600
Speaker 7: basically I think what Cruise did last time in sixteen,

976
00:50:39,200 --> 00:50:41,000
Speaker 7: and what other people have done in the past. They

977
00:50:41,080 --> 00:50:43,040
Speaker 7: just waited out New Gingrish did and winfdate for a

978
00:50:43,200 --> 00:50:46,480
Speaker 7: long time before he dropped out. And you know, if

979
00:50:46,480 --> 00:50:48,879
Speaker 7: something happens to Trump, something happens with this hell, something

980
00:50:48,920 --> 00:50:51,760
Speaker 7: happens with I don't know whatever. And she's the nominee.

981
00:50:51,760 --> 00:50:54,319
Speaker 7: What does she have to lose? I mean, so why

982
00:50:54,360 --> 00:50:57,200
Speaker 7: not pick up a few delegates. She's already made history

983
00:50:57,200 --> 00:50:59,360
Speaker 7: in this election. She is the first presidential candidate to

984
00:50:59,400 --> 00:51:01,840
Speaker 7: lose to nob and she's also the first woman Republican

985
00:51:01,880 --> 00:51:04,319
Speaker 7: to ever win a county in a primary. So I

986
00:51:04,320 --> 00:51:07,040
Speaker 7: mean she can hang that, you know on her, you know,

987
00:51:07,120 --> 00:51:09,920
Speaker 7: on her crown and just stay there because she's got nothing.

988
00:51:10,120 --> 00:51:12,120
Speaker 7: There's nothing to do. When she goes home, she'll go

989
00:51:12,200 --> 00:51:14,520
Speaker 7: work for bumming or something like that. But she she

990
00:51:14,600 --> 00:51:16,120
Speaker 7: does nothing to lose, not like she's going to run

991
00:51:16,120 --> 00:51:18,200
Speaker 7: for her Senate of South Carolina or something like that.

992
00:51:18,680 --> 00:51:22,000
Speaker 2: All right, Ryan, if the election we're sitting almost at

993
00:51:22,040 --> 00:51:25,320
Speaker 2: what is it, eight months out? If the election were today,

994
00:51:25,760 --> 00:51:27,000
Speaker 2: all right, I'm putting you on the.

995
00:51:27,040 --> 00:51:29,160
Speaker 7: Spot Obama was not the nominatee.

996
00:51:28,880 --> 00:51:32,359
Speaker 2: Yeah, Michelle, but yeah, okay, you and Bought can take

997
00:51:32,400 --> 00:51:34,719
Speaker 2: your tag team royal rubble, you know.

998
00:51:35,040 --> 00:51:35,560
Speaker 3: Close line.

999
00:51:35,880 --> 00:51:38,600
Speaker 5: It's a brilliant analyst of politics for those who don't

1000
00:51:38,640 --> 00:51:43,640
Speaker 5: know what would happen in the election today. If if

1001
00:51:43,680 --> 00:51:47,920
Speaker 5: tomorrow was election day, what do you think the results

1002
00:51:47,960 --> 00:51:48,600
Speaker 5: would look like?

1003
00:51:49,239 --> 00:51:51,279
Speaker 7: You know, I thought I always said that Biden still

1004
00:51:51,280 --> 00:51:53,880
Speaker 7: had the advantage. I think that the DOJ report is

1005
00:51:53,960 --> 00:51:57,239
Speaker 7: really just as damaging as it could possibly be. I've

1006
00:51:57,280 --> 00:51:59,719
Speaker 7: never seen something like that before as far as what

1007
00:52:00,239 --> 00:52:02,080
Speaker 7: you know, what it does. At the end of the day, Listen,

1008
00:52:02,360 --> 00:52:05,279
Speaker 7: the major states that are at play are going to

1009
00:52:05,320 --> 00:52:14,600
Speaker 7: be it's eight states to decide this entire election. Pennsylvania, Ohio, Arizona, Nevada, Florida, Michigan, Wisconsin,

1010
00:52:14,719 --> 00:52:17,480
Speaker 7: and maybe New Hampshire it becomes into play. It's very

1011
00:52:17,560 --> 00:52:19,840
Speaker 7: very few states. Most of those states are ninety to

1012
00:52:19,920 --> 00:52:22,319
Speaker 7: ninety five percent black white states, with the exception of

1013
00:52:22,320 --> 00:52:26,640
Speaker 7: Florida and Arizona and Nevada. In North Carolina and Georgia,

1014
00:52:26,640 --> 00:52:29,320
Speaker 7: I forgot those two, those states will decide this election.

1015
00:52:29,719 --> 00:52:32,879
Speaker 7: I think that the three big questions that I don't

1016
00:52:32,880 --> 00:52:35,200
Speaker 7: have the answer to right now. Does RFK get on

1017
00:52:35,239 --> 00:52:37,600
Speaker 7: the ballot Number one, because I heard from top Biden

1018
00:52:37,640 --> 00:52:40,240
Speaker 7: officials that that is one of their biggest biggest concerns,

1019
00:52:40,239 --> 00:52:43,759
Speaker 7: is that RFK gets ballot access. Number two, Does the

1020
00:52:43,800 --> 00:52:46,759
Speaker 7: black vote decrease? In twenty sixteen, the black vote was

1021
00:52:46,840 --> 00:52:49,279
Speaker 7: thirteen percent of the twelve percent of the population a

1022
00:52:49,360 --> 00:52:52,480
Speaker 7: new national population national vote. In twenty twenty it was

1023
00:52:52,480 --> 00:52:54,800
Speaker 7: thirteen percent. It was like one point three percent higher.

1024
00:52:54,880 --> 00:52:56,920
Speaker 7: That was the deciding factor in twenty twenty was the

1025
00:52:56,960 --> 00:53:00,479
Speaker 7: black vote. And lastly, if Trump is going to lose

1026
00:53:00,520 --> 00:53:03,200
Speaker 7: the college educated votes, which are the college educated women vote,

1027
00:53:03,239 --> 00:53:06,320
Speaker 7: do non college educated white voters, which are the bedrock

1028
00:53:06,360 --> 00:53:09,040
Speaker 7: of Republican Party, do they show up in full force?

1029
00:53:09,400 --> 00:53:11,440
Speaker 7: Those are the three things that will decide this election.

1030
00:53:13,160 --> 00:53:15,839
Speaker 7: Everything else is really just window dressing as far as

1031
00:53:15,840 --> 00:53:17,280
Speaker 7: just political punditry goes.

1032
00:53:17,320 --> 00:53:18,600
Speaker 3: But I so you dodged it.

1033
00:53:18,640 --> 00:53:20,759
Speaker 2: Would you say Trump is a favorite right now if

1034
00:53:20,800 --> 00:53:21,760
Speaker 2: the election wor tomorrow.

1035
00:53:22,000 --> 00:53:24,120
Speaker 7: For the very first time, I really think that Trump

1036
00:53:24,200 --> 00:53:26,400
Speaker 7: is becoming the favorite this, yeah, I do, for the

1037
00:53:26,400 --> 00:53:28,120
Speaker 7: first time. I didn't believe that before him, but I

1038
00:53:28,160 --> 00:53:28,520
Speaker 7: do now.

1039
00:53:29,520 --> 00:53:29,880
Speaker 3: I love it.

1040
00:53:29,880 --> 00:53:31,840
Speaker 5: You know, Ryan means it because he doesn't want to

1041
00:53:31,880 --> 00:53:34,839
Speaker 5: say it. That's the great thing. He doesn't hope.

1042
00:53:35,360 --> 00:53:37,600
Speaker 7: I hate making predictions, but that is for the very

1043
00:53:37,600 --> 00:53:41,279
Speaker 7: first time. Between the DOJ report and between Biden's just

1044
00:53:41,320 --> 00:53:46,000
Speaker 7: a physmal numbers and Kamala is just you know, there's

1045
00:53:46,120 --> 00:53:48,120
Speaker 7: just no safe place to rest your eyes. For the

1046
00:53:48,200 --> 00:53:51,719
Speaker 7: Biden campaign, They're very confident at the same exact time.

1047
00:53:51,880 --> 00:53:53,839
Speaker 7: I just I don't see how they're going to sit

1048
00:53:53,840 --> 00:53:56,600
Speaker 7: there and pull this one out, unless unless the black

1049
00:53:56,640 --> 00:54:00,440
Speaker 7: vote surges to record high numbers or not on college

1050
00:54:00,520 --> 00:54:03,080
Speaker 7: educated white voters sit on their hands. But I don't

1051
00:54:03,080 --> 00:54:04,440
Speaker 7: think either one of them are going to happen.

1052
00:54:05,160 --> 00:54:07,759
Speaker 3: Ryan Gerdusky, he's awesome. Buck. What's the substack to be

1053
00:54:07,800 --> 00:54:08,920
Speaker 3: able to follow him?

1054
00:54:09,360 --> 00:54:12,760
Speaker 5: National populist newsletter. I am a happy subscriber. I recommend

1055
00:54:12,800 --> 00:54:13,200
Speaker 5: it to you all.

1056
00:54:13,840 --> 00:54:15,719
Speaker 3: Boom, there you go. Thank you, Ryan. We'll talk to

1057
00:54:15,760 --> 00:54:16,319
Speaker 3: you again soon.

1058
00:54:17,000 --> 00:54:17,360
Speaker 7: Thank you.

1059
00:54:18,560 --> 00:54:22,440
Speaker 3: Look, basketball season is in full swing. In what do

1060
00:54:22,520 --> 00:54:24,319
Speaker 3: we eight days? Nine? I guess we got a leap

1061
00:54:24,360 --> 00:54:26,080
Speaker 3: year this year. Nine days.

1062
00:54:26,200 --> 00:54:29,799
Speaker 2: We're gonna be into March. That is officially March Madness.

1063
00:54:30,080 --> 00:54:30,600
Speaker 7: I love.

1064
00:54:30,880 --> 00:54:33,759
Speaker 2: I'm already contemplating. Buck doesn't even know this because he's

1065
00:54:33,800 --> 00:54:36,440
Speaker 2: never filled out a bracket. I'm already thinking about taking

1066
00:54:36,520 --> 00:54:37,759
Speaker 2: Thursday Friday off.

1067
00:54:38,920 --> 00:54:40,960
Speaker 3: I'm filling out a bracket this year. Buddy.

1068
00:54:40,960 --> 00:54:43,480
Speaker 5: You gotta stop with this crazy talk, because I'm gonna

1069
00:54:43,520 --> 00:54:44,799
Speaker 5: be making my picks too.

1070
00:54:44,960 --> 00:54:48,160
Speaker 3: We're gonna go mono to mono with the basketball that

1071
00:54:48,200 --> 00:54:49,360
Speaker 3: will be played in March.

1072
00:54:50,080 --> 00:54:52,880
Speaker 2: I think because the opening Thursday and Friday of the

1073
00:54:52,960 --> 00:54:56,919
Speaker 2: NCAA tournament is so much fun. I am already sick

1074
00:54:56,920 --> 00:54:59,480
Speaker 2: to my stomach at the idea that I would be

1075
00:54:59,600 --> 00:55:03,440
Speaker 2: live on the air during the NCUBLEA Tournament because the

1076
00:55:03,480 --> 00:55:06,200
Speaker 2: opening Thursday Friday, I think is the best two days

1077
00:55:06,239 --> 00:55:06,640
Speaker 2: of the year.

1078
00:55:06,680 --> 00:55:07,560
Speaker 3: If you're a sports fan.

1079
00:55:08,239 --> 00:55:10,080
Speaker 2: Other people that can argue, I know a lot of

1080
00:55:10,120 --> 00:55:12,000
Speaker 2: you like the Masters and a lot of you are

1081
00:55:12,040 --> 00:55:16,359
Speaker 2: big NFL fans, and college football's opening weekend is tough

1082
00:55:16,360 --> 00:55:18,480
Speaker 2: to beat. But I think the opening Thursday Friday of

1083
00:55:18,520 --> 00:55:22,040
Speaker 2: the NCUBA Tournament about as good as it gets. Would

1084
00:55:22,080 --> 00:55:23,960
Speaker 2: you like to be able to make some picks for

1085
00:55:24,040 --> 00:55:29,040
Speaker 2: that as well as the NBA, the Masters. We just

1086
00:55:29,160 --> 00:55:33,560
Speaker 2: had yesterday NASCAR, which is pretty awesome. That Daytona five hundred.

1087
00:55:33,800 --> 00:55:36,000
Speaker 2: See that wreck they had, man, it wiped out so

1088
00:55:36,040 --> 00:55:37,879
Speaker 2: many different cars.

1089
00:55:37,960 --> 00:55:40,520
Speaker 3: It was amazing, even though it was a day late.

1090
00:55:40,960 --> 00:55:43,399
Speaker 2: Price Picks is the place to go to be able

1091
00:55:43,440 --> 00:55:45,960
Speaker 2: to put down ten dollars. You can win one thousand dollars.

1092
00:55:46,160 --> 00:55:48,680
Speaker 2: You put down put in one hundred dollars, they'll give

1093
00:55:48,680 --> 00:55:52,680
Speaker 2: you one hundred dollars back, no questions asked. You double

1094
00:55:52,760 --> 00:55:55,000
Speaker 2: your money, boom right off the top up to one

1095
00:55:55,080 --> 00:55:58,320
Speaker 2: hundred dollars. You focus on the players, how they play

1096
00:55:58,360 --> 00:56:00,520
Speaker 2: in the game. It's a lot like if you play

1097
00:56:00,520 --> 00:56:04,600
Speaker 2: fantasy football, you play fantasy basketball, fantasy baseball. You're trying

1098
00:56:04,640 --> 00:56:08,360
Speaker 2: to predict with your picks how individual players are going

1099
00:56:08,440 --> 00:56:10,960
Speaker 2: to do, what their stats will be, and if they're

1100
00:56:10,960 --> 00:56:13,640
Speaker 2: going to end up doing better or worse. That is

1101
00:56:13,719 --> 00:56:16,200
Speaker 2: more or less than what the number is that is

1102
00:56:16,239 --> 00:56:19,200
Speaker 2: out there. Pick two to six different players you can

1103
00:56:19,239 --> 00:56:24,160
Speaker 2: watch every night. It is absolutely amazing, quick withdraws, great

1104
00:56:24,280 --> 00:56:26,960
Speaker 2: customer service. They will hook you up. All you need

1105
00:56:27,000 --> 00:56:28,759
Speaker 2: to do is download the Prize Picks app. You can

1106
00:56:28,840 --> 00:56:32,120
Speaker 2: use my name Clay as the promo code. First deposit

1107
00:56:32,200 --> 00:56:34,480
Speaker 2: match up to one hundred bucks. How many people out

1108
00:56:34,520 --> 00:56:36,920
Speaker 2: there can tell you, Hey, if you go download this

1109
00:56:36,960 --> 00:56:39,560
Speaker 2: app and put my name in, you get one hundred dollars.

1110
00:56:39,760 --> 00:56:41,960
Speaker 2: You put in one hundred dollars, they'll give you one

1111
00:56:42,040 --> 00:56:45,520
Speaker 2: hundred dollars. You automatically double your money. Go right now

1112
00:56:45,640 --> 00:56:48,960
Speaker 2: prize picks dot com. Or you can download the Prize

1113
00:56:48,960 --> 00:56:52,879
Speaker 2: Picks app. Just use my name Clay, that's Clay. Put

1114
00:56:52,880 --> 00:56:55,840
Speaker 2: in one hundred boom, you get back one hundred promo

1115
00:56:55,920 --> 00:56:59,160
Speaker 2: code Clay, Prize Picks, Pick more, pick less.

1116
00:56:59,360 --> 00:57:00,000
Speaker 3: It's that easy.

1117
00:57:01,040 --> 00:57:06,400
Speaker 1: The supply chain of Smarts, Sanity and Truth Uninterrupted Clay

1118
00:57:06,480 --> 00:57:08,120
Speaker 1: Travis and Buck Sexton