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Speaker 1: We're talking about the Harris Faulkner town hall and the

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Speaker 1: way that many women are reacting to their daughters being

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Speaker 1: forced to compete against men, to men being allowed to

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Speaker 1: enter their locker rooms. Harris Faulkner asks, in that town

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Speaker 1: hall filled with only women, I'd encourage you guys to

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Speaker 1: go look at watch it and maybe share it with

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Speaker 1: women voters out there who are open to voting for

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Speaker 1: Trump and maybe considering not doing it. But Harris Faulkner asked,

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Speaker 1: how many women in the audience are concerned that their

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Speaker 1: daughters may have to compete against men? Every hand goes

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Speaker 1: up this issue. Initially men were like me, we're driving

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Speaker 1: it because we saw it as crazy. And men tend

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Speaker 1: to in general be bigger sports fans than women, and

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Speaker 1: I think men understand the concept of men being bigger, stronger,

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Speaker 1: and faster, particularly if you played sports than women did.

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Speaker 1: But now, thanks to many people think Riley Gain speaking out,

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Speaker 1: women are finding their own voice on this issue. And

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Speaker 1: I think a lot of women were afraid that they

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Speaker 1: weren't being kind enough, or they weren't being caring or

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Speaker 1: empathetic enough for the trans community. And that moment is

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Speaker 1: passed and women are taking a substantial lead and talking

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Speaker 1: about this issue. And I think Riley Gains, Jennifer Say,

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Speaker 1: who is out there, former women's gymnast who has her

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Speaker 1: own clothing company. I think a lot of women's athletes

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Speaker 1: are saying enough is enough. We're not going to stand

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Speaker 1: for that. And it's going on right now in the

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Speaker 1: battleground state of Nevada where women's volleyball team said we

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Speaker 1: don't want to play against San Jose State University that

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Speaker 1: has a man that is dominating women's college volleyball on

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Speaker 1: the team, and a lot of women are saying, we're

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Speaker 1: not playing in a match if they're going to have

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Speaker 1: a man competing against us.

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Speaker 2: It's just not fair.

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Speaker 1: I also just wait for there to be a real

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Speaker 1: defense of this practice. Notice that whenever it comes up,

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Speaker 1: they're these there's these steps that the left will go through.

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Speaker 1: It doesn't happen that often. Why is it such a

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Speaker 1: big deal to you? Why are you being so mean?

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Speaker 1: Why can't you just be inclusive? They won't address the

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Speaker 1: core issue, which is not only is this unfair, biologically unfair?

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Speaker 1: I mean why even have why have age differences in sports?

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Speaker 1: Why not let sixteen year olds play ten year olds

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Speaker 1: in soccer or basketball? Yeah, exactly, you know why not?

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Speaker 1: I mean, why do we have these separations because we're

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Speaker 1: trying to create some baseline of biologically based fairness and

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Speaker 1: they can't actually address this or what do they do?

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Speaker 2: They attack?

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Speaker 1: It's a little bit like what I dealt with on

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Speaker 1: the Bill Marshow. I'm smoking them on all the arguments.

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Speaker 1: So it's like, well you're not like that, cool? Yeah,

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Speaker 1: well what does that have.

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Speaker 2: To do with anything?

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Speaker 1: I mean, they can't make a coherent defense of any

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Speaker 1: of this, and in a sense, Kamala, I'm going to

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Speaker 1: offer something up.

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Speaker 2: Clay. Kamala is actually the perfect.

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Speaker 1: Candidate for this moment in Democrat politics because her incoherence

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Speaker 1: on everything, the fact that she stands for nothing except

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Speaker 1: power is a perfect encapsulation of what the Democrat Party

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Speaker 1: of today is.

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Speaker 2: And the fact that she says.

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Speaker 1: Her principles haven't changed when she's changed her mind on

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Speaker 1: everything is a perfect a perfect overview of where the

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Speaker 1: Democrat Party is right now. Nothing makes sense and it's

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Speaker 1: not supposed to shut up and let them run your life.

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Speaker 1: We've got another cut that I wanted to play. We

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Speaker 1: mentioned that Kamala did a town hall, and every time

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Speaker 1: she does one of these interviews, there is a question

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Speaker 1: that to me becomes a central negativity associated with the

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Speaker 1: interview that she did, whether there's not a thing she

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Speaker 1: would change from the view and Colbet most recently, every

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Speaker 1: time she speaks she says something that turns off a

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Speaker 1: large majority of the population. I think that's why they

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Speaker 1: hit her to such an extent. But Buck, she was

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Speaker 1: asked about reparations. She in the past has said that

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Speaker 1: she believes reparation should happen. California studied the issue and

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Speaker 1: even Gavin Newsom said, yeah, I understand the recommendation, but no, California,

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Speaker 1: which never permitted slavery, by the way, and has a

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Speaker 1: relatively small as a percentage of the population overall black population.

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Speaker 1: I think California is only six or eight percent black.

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Speaker 2: Buck.

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Speaker 1: That sometimes surprises people large Asian, large Hispanic, large white population,

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Speaker 1: but not that large of a black population. But she

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Speaker 1: was asked and Gavin Newsom said, the cost on this

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Speaker 1: is just outrageous.

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Speaker 2: There's no way we can do it.

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Speaker 1: Basically, thanks for the recommendation, but we're not going to

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Speaker 1: do it.

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Speaker 2: She said, we need to study it.

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Speaker 1: Cost estimates around twelve trillion dollars for reparations. Buck, here's

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Speaker 1: Kamala on racial reparations.

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Speaker 3: Yes, I'm running to be a president for all Americans.

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Speaker 3: That being said, I do have clear eyes about the

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Speaker 3: disparities that exist and the context in which they exist,

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Speaker 3: meaning history to your point. So my agenda, well, first

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Speaker 3: of all, on the point of reparations, it has to

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Speaker 3: be studied. There's no question about that. And I've been

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Speaker 3: very clear about that position.

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Speaker 2: Okay, let's talk about this. First of all.

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Speaker 1: I love when she says I've been very clear when

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Speaker 1: she gives a non answer. This should be like if

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Speaker 1: you were like if Clay asked me, He's like, Buck,

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Speaker 1: what do you think about this? And I was like,

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Speaker 1: I played the fifth as I have been very clear

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Speaker 1: about my answer. It's like, well, you're not answering. Actually,

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Speaker 1: you're choosing to give a total non answer. In this process,

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Speaker 1: a few things that would come up, and this is

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Speaker 1: one of reparations I might add to the national electorate.

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Speaker 1: Incredibly unpopular, eighty twenty against at least, yeah, eighty twenty

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Speaker 1: against at least for obvious reasons. A lot of people

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Speaker 1: oppose this. But if you're going to have reparations. Here

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Speaker 1: are the questions have to ask, who gets them? What

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Speaker 1: do you have to do to qualify for them?

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Speaker 2: How much?

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Speaker 4: So?

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Speaker 1: Questions like, if you're a quarter African American, do you

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Speaker 1: do you get like twenty five percent of what the

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Speaker 1: full reparations package would be? You know, how far back

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Speaker 1: do you go? I mean, if you're half African American,

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Speaker 1: let's say you get a different percent. These are the

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Speaker 1: questions you would have to answer. If you are a

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Speaker 1: Nigerian immigrants, do the United States have a higher than

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Speaker 1: most groups in this country household income? But would they

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Speaker 1: know they wouldn't qualify for reparations? Okay, well who does?

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Speaker 1: Who doesn't? At what point do you start to make

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Speaker 1: these distinctions or rather how far back do you have

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Speaker 1: to go?

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Speaker 2: And the other part of the clay is it's.

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Speaker 1: Immoral because you're taking money from people today with the

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Speaker 1: force of the state based on some historical you know,

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Speaker 1: some historical story. And then also it's never enough. This

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Speaker 1: is the part of it that everybody knows, right, there

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Speaker 1: would never be enough money in this program, just like

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Speaker 1: all other redistribution of wealth programs. It's never enough to

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Speaker 1: deal with the problem. Well, I mean it's it's messy

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Speaker 1: on so many different levels. To your point, you have

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Speaker 1: to do percentage analysis, right, because huge percentages of the

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Speaker 1: people who live in America here were not in America

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Speaker 1: when slavery occurred. So if you're an immigrant from from China,

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Speaker 1: why in the world should you be paying reparations to

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Speaker 1: black people? It makes no sense, right, So it's the

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Speaker 1: huge percentage population wasn't here. Also, just you know, Jews

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Speaker 1: who fled the Holocaust in the Second World War, okay,

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Speaker 1: you just got here in like nineteen fifty or you know,

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Speaker 1: nineteen forty whatever, they would be paying reparations, among many

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Speaker 1: other people, to the black community for slavery that has

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Speaker 1: been outlawed for one hundred and fifty years.

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Speaker 2: Okay.

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Speaker 1: I also always enjoy two other points. One, I'm a

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Speaker 1: history nerd. So are we just forgetting the hundreds of

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Speaker 1: thousands of people who died in the Civil War? I

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Speaker 1: got an ancestor who died fighting in the Civil War.

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Speaker 1: He was motivated in some way over the issue of slavery.

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Speaker 1: Those people's lives don't matter. Some of us, literally who

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Speaker 1: are white, carry the blood of people who fought in

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Speaker 1: the Civil War on both sides and that's a whole

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Speaker 1: historical mess in and of itself. But those guys who

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Speaker 1: actually gave their lives, some of them to enslavery, don't count, right.

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Speaker 1: I think you'd have a very fair point if we're

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Speaker 1: going to do this. Historical ancestry is something you're responsible for.

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Speaker 1: You know, my family are Irish immigrants, and the Irish

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Speaker 1: side that got here into the North, it's very likely

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Speaker 1: they fought for the Union. So am I exempted?

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Speaker 2: Right? Do you get credited?

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Speaker 1: Do you get credited because you had Union soldiers who

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Speaker 1: fought in your background. Here's the other thing buck that

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Speaker 1: nobody really wants to talk about. Well, shouldn't Africa pay

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Speaker 1: a substantial amount of the reparations here? Since the slaves

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Speaker 1: were initially enslaved in Africa and Africans profited immensely off

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Speaker 1: the slave trade, It's as if there is no reparations

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Speaker 1: responsibility for.

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Speaker 2: That aspect of the slave trade.

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Speaker 1: I also think that you know, you can look at

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Speaker 1: the closest thing that we've had in this country to

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Speaker 1: something along the lines of there are also people who,

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Speaker 1: by the way, I would I would point out, would

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Speaker 1: would claim that overall, you know, the welfare state that

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Speaker 1: this country has been supporting for the last seventy years

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Speaker 1: or so.

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Speaker 2: Is a form of.

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Speaker 1: Not even just for the African American community, but across

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Speaker 1: the board, meant to repair historical injustices by for dispossessed communities.

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Speaker 1: And I mean, and you know, it's been a lot

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Speaker 1: of money. It's the point, right, there's already a lot

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Speaker 1: of money that is going to help people in this country.

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Speaker 1: We have a trillion dollar Welfares STA in this country.

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Speaker 1: Beyond that, though, you look at the Native American population

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Speaker 1: in the you know Indian population, I think it's in

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Speaker 1: we're supposed are we supposed to call them?

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Speaker 2: Now?

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Speaker 1: The you know indigenous tribes, The name keeps changing, which

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Speaker 1: I think is just meant to see who will be who.

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Speaker 1: It's obedience training for the rest of us. I might add,

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Speaker 1: you know, you're not You're not supposed to say Eskimo

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Speaker 1: anymore because Eskimo is only one tribe and they prefer

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Speaker 1: I think more generally Inuit or Alaska listeners. We've got

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Speaker 1: a great station up up in Anchorage. They would know

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Speaker 1: more about this than I do. But oh, you know,

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Speaker 1: if you say Eskimo, you're being rude. I mean, we

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Speaker 1: can't keep up with all this. What's the name? Tough

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Speaker 1: to know the name because no written language, you know,

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Speaker 1: not a lot of textual basis for this stuff. But

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Speaker 1: on the Native American reservations clay across the country, this

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Speaker 1: has been a program for a long time, and there

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Speaker 1: have been special incentives given to those communities, and we

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Speaker 1: as a country, we never even really look at Native

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Speaker 1: American reservations are a horrible state of affairs when you

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Speaker 1: look at things like domestic abuse, alcoholism, violent crime per capita.

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Speaker 2: These are not happy places. They're reservations.

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Speaker 1: And then we have people in Oklahoma listening who know

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Speaker 1: exactly about this. We've had the governor of Oklahoma, who

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Speaker 1: himself is a Native American by the way, member of

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Speaker 1: a tribe, Kevin Stitt. And this is not a program

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Speaker 1: that has been successful at all really when you look

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Speaker 1: at it. So why would we do these sort of

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Speaker 1: race based preference programs, especially after the Constitution has already

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Speaker 1: told us that an admissions it's bad, in region, distribution

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Speaker 1: of wealth it's good.

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Speaker 2: Makes no sense.

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Speaker 1: I would also add, historically, buck and this really gets

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Speaker 1: people all flummoxed. Remember we were a colony of great,

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Speaker 1: great Britain for the vast majority of time that there

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Speaker 1: was slavery in the United States. Why should the United

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Speaker 1: States be responsible from sixteen nineteen to seventeen seventy six

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Speaker 1: or seventeen eighty three, England should have to pay all

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Speaker 1: of the reparations to slaves in the United States because

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Speaker 1: England was the power here. We were colonies. We were

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Speaker 1: until we revolted. We didn't have democracy in this country.

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Speaker 1: So I never hear anybody say, Okay, well, England is

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Speaker 1: on the hook. We only had legal slavery in the

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Speaker 1: United States for eighty years, and to your point, seventeen

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Speaker 1: eighty three to eighteen sixty three. To your point, buck,

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Speaker 1: we've since had the welfare state, which to a large

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Speaker 1: extent since the nineteen sixties has existed with the idea

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Speaker 1: being that we're going to provide some form of compensation

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Speaker 1: and redress to people who were discrim against. We've had

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Speaker 1: the welfare state and the Civil Rights era almost as

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Speaker 1: long now in the United States since we had slavery.

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Speaker 1: So anyway, I just loved the history of it. Very

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Speaker 1: few people actually dive into it, which is why, on

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Speaker 1: its face, eighty percent of some aut Americans say this

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Speaker 1: is a joke. Kamala believes it should happen in twenty nineteen,

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Speaker 1: and she's saying now it should be studied still in

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Speaker 1: twenty twenty four. Again another swinging amiss. Look, this is

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Speaker 1: the time of the year when leaves start to pile

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Speaker 1: up in the yard and they start to change colors

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Speaker 1: all over the country, and you may notice it because

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Speaker 1: in your neighborhood, as in mind, people may start leaf

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Speaker 1: blowers at insanely early hours. I don't know when this

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Speaker 1: practice became commonplace. Seven am leaf blowers out. Are you

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Speaker 1: with me on this? It's crazy? Every time I want

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Speaker 1: to sleep in, every time the leaf blowers find me.

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Speaker 1: There needs to be a leaf blower constitution where nobody

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Speaker 1: can leaf blow till like nine am, but out at

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Speaker 1: seven am blowing leaves like crazy. And if you are

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Speaker 1: dealing with leaves in your home, you probably got them

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Speaker 1: in your gutters. And given how much rain many places

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Speaker 1: have gotten recently, when that rain comes down, it clogs

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Speaker 1: the gutters and there are all sorts of issues. Why

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Speaker 1: not get leaf filter right now? Leaf Filter has trusted

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Speaker 1: pros that help protect your home from flooding, roof damage,

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Speaker 1: foundation issues, and more. They'll clean out, realign and seal

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Speaker 1: your gutters before installing leaf Filter's award winning patented technology.

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Speaker 1: Protect your home and never clean out gutters again with

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Speaker 1: leaf Filter, America's number one gutter protection system. Schedule your

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Speaker 1: free inspection up to thirty percent off your entire purchase

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Speaker 1: at leaffilter dot com. Slash, Clay and Buck spelled as

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Speaker 1: one word, that's l eaffilter dot com.

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Speaker 2: Slash Clay and Buck.

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Speaker 5: Have fun with the guys on Sundays This Sunday Hang podcast.

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Speaker 5: It's silly, it's goofy, it's good times. Fight it in

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Speaker 5: the Clay and Buck podcast feed on the iHeartRadio app

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Speaker 5: or wherever you get your podcasts.

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Speaker 1: Second hour of.

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Speaker 2: Play and Buck kicks off right now.

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Speaker 1: Kamala Harris out there actually campaigning, so I.

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Speaker 2: Guess we've got to give her credit for that.

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Speaker 1: Or are appearing in media talking to people, not just

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Speaker 1: reading off of glass in front of a pre selected

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Speaker 1: crowd of people told to applaud and cheer at the

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Speaker 1: pre selected moments. There's some interesting stuff though, that has

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Speaker 1: come out in the last twenty four hours, and one

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Speaker 1: I will just say, there's body camera footage of this,

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Speaker 1: so you can watch. The entire incident was just released. Now,

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Speaker 1: this is from I think September. Clay is that when

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Speaker 1: the incident happened.

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Speaker 2: I believe that's right.

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Speaker 1: Yes, yeah, So oftentimes the body camera footage of a

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Speaker 1: police involved lethal force incident is held for a period

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Speaker 1: of time.

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Speaker 2: The foot come out and it is.

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Speaker 1: Of a police officer who is Asian American making a

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Speaker 1: wellness check or conducting a wellness check on a woman

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Speaker 1: who is You can see in the video she's emotionally disturbed.

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Speaker 1: The NYPD parlance, she's called it an EDP and mostly

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Speaker 1: disturbed person. He's there to check on her, get her

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Speaker 1: help and resources. Knocks on the door. She comes at

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Speaker 1: the door very aggressively. Now she is six foot six.

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Speaker 1: She had previously been the center on the Georgetown University

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Speaker 1: women's basketball team. I think that is also an important

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Speaker 1: detail because when you're talking about somebody's ability to harm

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Speaker 1: you with any object, but certainly a long looks kind

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Speaker 1: of like a like a butcher knife or a kitchen knife.

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Speaker 1: Someone six foot six, they have long reach, they have leverage,

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Speaker 1: They can kill you very very quickly. The officer is

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Speaker 1: yelling to put it down, put it down.

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Speaker 2: Put it down. She does.

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Speaker 1: He gets cut numerous times across the face with this blade.

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Speaker 1: You can see on the body camera he is dripping blood. Okay,

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Speaker 1: and he's shouting for this woman to drop the enough

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Speaker 1: and I understand it's clearly having a psychotic episode. He

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Speaker 1: pulls his firearm and he shoots her and she dies.

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Speaker 1: There are people since this video has come out, and

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Speaker 1: I don't mean a few, a lot of them who

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Speaker 1: are trying to make the case online that the officer

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Speaker 1: did something wrong. This is how completely insane the anti

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Speaker 1: cop left and the social justice left and the racial

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Speaker 1: justice left, the BLM remnants out there, if you will,

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Speaker 1: the remnants of the BLM movement has become that now

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Speaker 1: the expectation is that you might just have to get

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Speaker 1: stabbed to death if a person of color is having

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Speaker 1: a psychotic break and law enforcement shows up. This is

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Speaker 1: the new standard that the left seems to want to

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Speaker 1: engage in. There are all these people Clay who are saying, oh, well,

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Speaker 1: the all officer could have used a taser, or why

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Speaker 1: couldn't the officer have done some jiu jitsu or something,

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Speaker 1: or what if a person is within the real standard,

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Speaker 1: they tell us and CIA is if you're coming from

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Speaker 1: the draw, which this officer was. He didn't he didn't

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Speaker 1: knock on the door with his firearm in his hands.

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Speaker 1: If you're coming out of the draw, it's basically twenty feet.

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Speaker 1: If a person is within twenty I think twenty one

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Speaker 1: is what they say, but twenty feet effectively, and they

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Speaker 1: have an edged weapon.

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Speaker 2: Even by the time you draw and you.

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Speaker 1: Try to try to get target on the threat, you

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Speaker 1: were likely to get stabbed. This officer was stabbed numerous times.

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Speaker 1: He's dripping blood. He shoots this woman who is trying

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Speaker 1: to kill him on video, and it's clear. You can

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Speaker 1: see the whole thing, and it's a horrible, violent incident,

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Speaker 1: but you can see the whole thing, and there are

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Speaker 1: activists and left wing individuals and Democrats and Kamala voters

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Speaker 1: who are out there saying that the cop did something wrong.

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Speaker 1: I just think this is important content xclay for where

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Speaker 1: the Democrat Party really is on this issue that they

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Speaker 1: will not I mean, people can say whatever, and I

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Speaker 1: understand there's always going to be fringe elements in any

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Speaker 1: politics that are going to get something wrong.

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Speaker 2: They're not going to condemn this.

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Speaker 1: Why doesn't Kamala Harris put out a statement of solidarity

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Speaker 1: with the officer in this case, saying we've seen the

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Speaker 1: body camera footage. The officer did nothing wrong. He was

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Speaker 1: defending himself. It's a tragic incident. It's no one's celebrating this.

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Speaker 1: It's a tragic incident. But the cop did nothing wrong.

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Speaker 1: The Democrat party is antique cop and everybody needs to

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Speaker 1: remember it. I got something to add here too. Georgetown

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Speaker 1: Women's basketball put out a tweet saying Georgetown Women's Basketball

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Speaker 1: mourns the tragic loss of Sidney Wilson, class of thirteen,

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Speaker 1: Forever a Hoya hashtag Hoya saxa with a photo of

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Speaker 1: her in her uniform. Should a university send out a

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Speaker 1: loss of life message when your your former player tried

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Speaker 1: to murder an innocent police officer. I mean, this is

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Speaker 1: embarrassing for Georgetown University. And I look, you and I

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Speaker 1: both spent a lot of time in DC. Georgetown is

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Speaker 1: a fabulous location. It's beautiful. I know people take shots

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Speaker 1: at DC. We were just talking about this with your

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Speaker 1: dad at dinner recently. I mean, it's a fabulous area.

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Speaker 1: It's been historically a fantastic university. But the idea that

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Speaker 1: you would send this out from an athletic department account.

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Speaker 1: Is I think, frankly, an extreme embarrassment to Georgetown University. Secondly,

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Speaker 1: buck And and not connected to this story directly, but

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Speaker 1: I was reading the New York Post. We were up

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Speaker 1: in New York over the weekend and I screenshoted this

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Speaker 1: in the In the New York Post, there is a

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Speaker 1: massive article, Uh, the number of NYPD cops assaulted on

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Speaker 1: the job has skyrocketed for one percent this year, and

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Speaker 1: it's risen steeply for five consecutive years in New York City.

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Speaker 1: What is going on here? There's a real war on cops.

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Speaker 1: And when you say cops are racist, cops are killing

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Speaker 1: innison black people. The response there is not just that

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Speaker 1: you're discrediting police, it's that attacking and fighting with them

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Speaker 1: is acceptable because they are the bad guy. We are

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Speaker 1: creating a culture that attacks police. And also on this

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Speaker 1: Georgetown story, Bucket, this is also I think a sign

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Speaker 1: of desperation. They're trying to find another George Floyd because

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Speaker 1: they're doing poorly with minority voters and they're trying to

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Speaker 1: inflame racial tensions, and they wanted to use this Sidney Wilson.

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Speaker 1: If this cop didn't have a body cam on, and

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Speaker 1: if you couldn't see that she had a big knife

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Speaker 1: and she was running at him, they would you know

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Speaker 1: what they would have done. They would have said, oh,

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Speaker 1: he planted that knife. She never had a knife, She

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Speaker 1: was one hundred percent incident. Her family would have come

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Speaker 1: out and said she was not a violent person. She

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Speaker 1: never would have engaged in this way. They're trying to

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Speaker 1: cover it all up. That's what they would have done.

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Speaker 1: What body cameras have really done. And this is a

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Speaker 1: sensitive subject that a lot of people don't really want

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Speaker 1: to talk about, but body cameras for law enforcement have

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Speaker 1: saved at this point, just based on incidents that we've

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Speaker 1: all seen, hundreds if not thousands, of cops from being maligned, fired,

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Speaker 1: and probably imprisoned, yes for things they did not do,

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Speaker 1: because the left loves to play this game of the

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Speaker 1: cops are usually the bad guys. Now usually, actually that's

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Speaker 1: not the case. In fact, ninety nine percent of the

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Speaker 1: time when cops have to do a use lethal force,

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Speaker 1: it is entirely justified. This is a textbook case of

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Speaker 1: justified lethal force. It could there is no such thing

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Speaker 1: as forget that he's even a cop. Any human being

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Speaker 1: would have been justified in shooting this. And again I

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Speaker 1: understand she's having a psychotic episode. She's you don't have

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Speaker 1: to die because somebody else is having a psychotic episode.

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Speaker 1: That's the bab You have the right of self defense.

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Speaker 1: He did not initiate any violence or force. She came

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Speaker 1: at him. And I know for a lot of you,

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Speaker 1: you're like buck, but this is this is so obvious,

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Speaker 1: like why are we even talking about it? Look a

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Speaker 1: look at the Georgetown statement, But look at what a

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Speaker 1: lot of the activists are saying online. They're trying to

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Speaker 1: make this a thing. They're trying to, to Clay's point,

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Speaker 1: create a last minute mobilization of particularly the black community.

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Speaker 1: And if even with all the facts as they are,

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Speaker 1: if you didn't have clear body camera footage, it would

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Speaker 1: be cop shot black woman during wellness check. And and

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Speaker 1: you know this was a murder, that that is what

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Speaker 1: they would be saying. The only reason that this cop,

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Speaker 1: who as I said, was dripping blood everywhere, I mean,

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Speaker 1: he got stabbed numera, he was slashing at him with

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Speaker 1: his knife. The only reason that I'm CONFIDENTI well, first

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Speaker 1: of all, you got governor young Kin in Virginia. Thank god, Okay,

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Speaker 1: you don't have some communist, lunatic governor at the top

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Speaker 1: of the law enforcement apparatus, you know. I mean, how

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Speaker 1: if this were Minnesota. You know Minnesota loves to throw

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Speaker 1: their cops under the bus. Is the Democrat state virgin

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Speaker 1: with a Democrat governor Virginia. I think that it's not

436
00:23:18,000 --> 00:23:21,399
Speaker 1: going to get that high. But he is shown to

437
00:23:21,520 --> 00:23:26,760
Speaker 1: have acted entirely, lawfully and reasonably this cop, and thank heavens,

438
00:23:26,760 --> 00:23:28,920
Speaker 1: he had his body camera on or else, Clay, you

439
00:23:28,960 --> 00:23:30,919
Speaker 1: and I both know his life would be over, his

440
00:23:31,080 --> 00:23:34,240
Speaker 1: family would be in hiding because of all the lunatic

441
00:23:34,400 --> 00:23:38,160
Speaker 1: BLM supporters and all the Democrat voters whould be threatening

442
00:23:38,160 --> 00:23:42,480
Speaker 1: their lives over this totally. And it would be interesting

443
00:23:42,520 --> 00:23:44,320
Speaker 1: to talk and I know you have talked to a

444
00:23:44,320 --> 00:23:48,280
Speaker 1: lot of cops. It's more likely, I think, Buck, that

445
00:23:48,440 --> 00:23:53,399
Speaker 1: somebody loses their life because they don't engage in protective

446
00:23:53,480 --> 00:23:55,280
Speaker 1: act because they're worried.

447
00:23:54,960 --> 00:23:56,520
Speaker 2: About their life being ruined.

448
00:23:56,640 --> 00:24:00,399
Speaker 1: If they're wrong, then it is that somebody engaged in

449
00:24:00,440 --> 00:24:05,800
Speaker 1: wrong behavior. But the bodycam is the ultimate truth teller,

450
00:24:06,560 --> 00:24:10,720
Speaker 1: and as long as it's on, there is an opportunity

451
00:24:10,760 --> 00:24:14,439
Speaker 1: for everyone to experience what it's actually like in real

452
00:24:14,520 --> 00:24:17,560
Speaker 1: time to try to be a police officer in this country.

453
00:24:17,600 --> 00:24:20,240
Speaker 1: And it's a really hard job. And when you this

454
00:24:20,320 --> 00:24:22,440
Speaker 1: is why I've had this conversation with my kids, I

455
00:24:22,440 --> 00:24:24,439
Speaker 1: would encourage all of you to have this conversation with

456
00:24:24,520 --> 00:24:27,520
Speaker 1: your kids. I'm speaking as a lawyer. Now, if a

457
00:24:27,600 --> 00:24:31,959
Speaker 1: police officer engages in behavior that you believe is unlawful,

458
00:24:32,480 --> 00:24:37,760
Speaker 1: the best thing to do is comply still and prepare

459
00:24:37,880 --> 00:24:41,400
Speaker 1: to have a legal process going forward, because almost all

460
00:24:41,440 --> 00:24:43,400
Speaker 1: these situations buck when you go back and look at them.

461
00:24:43,440 --> 00:24:46,879
Speaker 1: If the initial person who stopped had just complied with

462
00:24:46,960 --> 00:24:50,680
Speaker 1: the officer requests, there would be no escalation of violence.

463
00:24:50,720 --> 00:24:53,760
Speaker 1: I'm not saying that every police officer behaves constitutionally. I'm

464
00:24:53,800 --> 00:24:55,960
Speaker 1: not saying that every police officer is perfect. None of

465
00:24:56,000 --> 00:24:58,960
Speaker 1: us are perfect at our jobs. But when you have

466
00:24:59,280 --> 00:25:02,800
Speaker 1: people believe leaving that police officers are fundamentally racist and

467
00:25:02,840 --> 00:25:06,080
Speaker 1: allied against them, you get what's happening in New York City,

468
00:25:06,119 --> 00:25:08,439
Speaker 1: which is a skyrocket which I bet is reflected all

469
00:25:08,480 --> 00:25:12,280
Speaker 1: over the country of people attacking police officers, which creates

470
00:25:12,320 --> 00:25:17,639
Speaker 1: more violent situations and more unnecessary deaths than would occur

471
00:25:17,760 --> 00:25:20,320
Speaker 1: if you just complied with the commands of a police officer.

472
00:25:20,640 --> 00:25:23,199
Speaker 1: And there's the compliance issue. There's also it has become

473
00:25:23,359 --> 00:25:25,600
Speaker 1: and I think a lot of it is from these

474
00:25:26,640 --> 00:25:30,240
Speaker 1: sharing of these videos on social media where they jump

475
00:25:30,280 --> 00:25:32,439
Speaker 1: right to when the officer has to wrestle somebody to

476
00:25:32,480 --> 00:25:34,480
Speaker 1: the ground or the officer has to use some degree

477
00:25:34,480 --> 00:25:38,880
Speaker 1: of force because of non compliance. It has become very

478
00:25:39,800 --> 00:25:42,959
Speaker 1: much more acceptable, I think, in some quarters and in

479
00:25:43,000 --> 00:25:46,959
Speaker 1: some communities for people to just say no, I'm not

480
00:25:47,000 --> 00:25:49,760
Speaker 1: getting arrested today, or no, I'm not complying today with

481
00:25:49,800 --> 00:25:53,760
Speaker 1: a lawful order. And you know, if cops don't have

482
00:25:53,800 --> 00:25:57,000
Speaker 1: the ability to put their hands on you and put

483
00:25:57,040 --> 00:26:00,240
Speaker 1: you in cuffs when you have broken the law just

484
00:26:00,280 --> 00:26:02,760
Speaker 1: because you say no, then we have no law. Then

485
00:26:02,760 --> 00:26:04,800
Speaker 1: the whole then the whole thing falls apart. And this

486
00:26:04,960 --> 00:26:08,560
Speaker 1: is where a lot of I think the stuff that

487
00:26:08,600 --> 00:26:13,520
Speaker 1: you see online is just making the whole situation much worse,

488
00:26:13,560 --> 00:26:14,720
Speaker 1: which is people act like.

489
00:26:15,200 --> 00:26:16,679
Speaker 2: The why is the cop doing this?

490
00:26:16,840 --> 00:26:19,760
Speaker 1: Like it's just a matter of and then they put

491
00:26:19,800 --> 00:26:21,560
Speaker 1: in you know, they fill in the blank because the

492
00:26:21,600 --> 00:26:24,400
Speaker 1: person says, I'm not going to comply with the authority

493
00:26:24,480 --> 00:26:27,040
Speaker 1: vested in this officer by the state to enforce the law.

494
00:26:27,640 --> 00:26:29,120
Speaker 1: And you know what I'm saying, Like, you know, people

495
00:26:29,160 --> 00:26:30,919
Speaker 1: could show up and my door too, say sir, you're

496
00:26:30,960 --> 00:26:35,040
Speaker 1: under arrest, and I go, no, no, I'm not. Well,

497
00:26:35,320 --> 00:26:38,439
Speaker 1: well what happens then? You know, they can either grab

498
00:26:38,480 --> 00:26:41,560
Speaker 1: me and handcuff me and take me in for processing,

499
00:26:42,000 --> 00:26:42,920
Speaker 1: or I'm above the law.

500
00:26:43,560 --> 00:26:44,440
Speaker 2: And there are a lot of.

501
00:26:44,359 --> 00:26:47,040
Speaker 1: People that you see in these exchanges who just think, no, sorry,

502
00:26:47,520 --> 00:26:50,560
Speaker 1: not getting arrested today. And that, by the way, that

503
00:26:50,600 --> 00:26:52,680
Speaker 1: happened with Eric Garner who got put in a choke hold.

504
00:26:52,720 --> 00:26:54,600
Speaker 1: He was just like, no, I'm not getting arrested today.

505
00:26:55,119 --> 00:26:57,199
Speaker 1: And I know it was only a minor things. Well,

506
00:26:57,240 --> 00:26:59,959
Speaker 1: the whole George Floyd story, Buck, if you go back,

507
00:27:00,040 --> 00:27:02,320
Speaker 1: I could look at it. If he had just complied,

508
00:27:03,359 --> 00:27:07,280
Speaker 1: he was passing a counterfeit bill, he was high on drugs.

509
00:27:07,520 --> 00:27:11,920
Speaker 1: I still believe that he wasn't killed by the police officer.

510
00:27:12,119 --> 00:27:15,040
Speaker 1: I mean, I think there's certainly reasonable doubt as to

511
00:27:15,119 --> 00:27:20,280
Speaker 1: whether or not the police officer's action killed him. The

512
00:27:21,000 --> 00:27:23,760
Speaker 1: whole story, by and large, when you actually break it

513
00:27:23,800 --> 00:27:29,080
Speaker 1: down moment by moment, is a complete fiction. In the

514
00:27:29,080 --> 00:27:31,080
Speaker 1: way that it was portrayed to the vast majority of

515
00:27:31,119 --> 00:27:34,280
Speaker 1: the American public. I think Officer I think Officer Chauvin

516
00:27:34,280 --> 00:27:36,080
Speaker 1: did not get a fair trial. I think there was

517
00:27:36,119 --> 00:27:38,840
Speaker 1: not justice in that situation. And I disagree with people

518
00:27:38,880 --> 00:27:41,280
Speaker 1: that freak out at me when I say this. I

519
00:27:41,480 --> 00:27:46,159
Speaker 1: simply when they say, like, well, he was asphyxiated for

520
00:27:46,240 --> 00:27:48,440
Speaker 1: nine minutes. How many people in the audience have done

521
00:27:48,520 --> 00:27:50,560
Speaker 1: jiu jitsu? How many of you know how long does

522
00:27:50,560 --> 00:27:53,840
Speaker 1: it take if you're actually cutting off someone's airway for

523
00:27:53,960 --> 00:27:55,159
Speaker 1: them to pass out from that.

524
00:27:55,280 --> 00:27:59,080
Speaker 2: It's not nine minutes. Everybody much faster than that.

525
00:27:59,160 --> 00:28:03,879
Speaker 1: Okay, he wasn't trying to asphyxiate anybody. The guy had

526
00:28:03,920 --> 00:28:06,520
Speaker 1: a lethal dose of fentanel George Floyd lethal dose of

527
00:28:06,560 --> 00:28:10,320
Speaker 1: fentanel in his system, and his heart gave out, and

528
00:28:10,359 --> 00:28:14,520
Speaker 1: he was in effectively a panic and completely freaking out

529
00:28:14,600 --> 00:28:16,280
Speaker 1: from the very beginning of when the offseas said he

530
00:28:16,280 --> 00:28:17,879
Speaker 1: couldn't bathe in the car, he said there were a

531
00:28:17,880 --> 00:28:19,520
Speaker 1: lot of times where he said he couldn't breathe. My

532
00:28:19,600 --> 00:28:23,159
Speaker 1: point here is just play. This is the lack of

533
00:28:23,200 --> 00:28:25,720
Speaker 1: context understanding. This is why our friend Ryan Gerdusky went

534
00:28:25,760 --> 00:28:27,760
Speaker 1: on CNN. This is en viral.

535
00:28:27,880 --> 00:28:29,560
Speaker 2: We had that clip. We should grab you. I want

536
00:28:29,600 --> 00:28:30,919
Speaker 2: to come back to you. I give credit to him.

537
00:28:31,000 --> 00:28:34,600
Speaker 1: Yeah, yeah, Ryan's Ryan's doing great work over at CNN

538
00:28:35,000 --> 00:28:39,640
Speaker 1: explaining to the libs what's really going on. Look, Christmas

539
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540
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543
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545
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546
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550
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552
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553
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556
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Speaker 1: Dial pound two five zero, say Clay and Buck, and

557
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558
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Speaker 1: with Puretalk. That's pound two five zero say Clay and Buck.

559
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Speaker 2: Two guys walk.

560
00:29:47,720 --> 00:29:53,240
Speaker 5: Up to a mic Hey, anything goes Clay, Travis and

561
00:29:53,520 --> 00:29:57,360
Speaker 5: Fuck Sexton. Find them on the free iHeartRadio app or

562
00:29:57,440 --> 00:29:59,160
Speaker 5: wherever you get your podcasts.

563
00:29:59,560 --> 00:30:04,080
Speaker 1: Welcome back again, Clay Travis, Buck Sexton show. CNN trying

564
00:30:04,080 --> 00:30:07,200
Speaker 1: to figure out what its identity is going forward. Box

565
00:30:07,280 --> 00:30:10,520
Speaker 1: News by far the biggest cable news channel. MSNBC has

566
00:30:10,640 --> 00:30:12,760
Speaker 1: diehard lesbian viewers and.

567
00:30:12,960 --> 00:30:14,160
Speaker 2: Out there right now.

568
00:30:14,480 --> 00:30:17,680
Speaker 1: CNN is now maybe trying to decide that they want

569
00:30:17,720 --> 00:30:20,400
Speaker 1: to actually appeal to people who want to see debate

570
00:30:20,680 --> 00:30:23,960
Speaker 1: topics truly debated. And our friend Ryan gardesk, you we've

571
00:30:23,960 --> 00:30:27,160
Speaker 1: had on the program, went on and schooled a lot

572
00:30:27,160 --> 00:30:29,920
Speaker 1: of CNN panelists. Here is that cut twenty nine.

573
00:30:30,120 --> 00:30:32,600
Speaker 6: The post George Floyd riots resulted in excess of over

574
00:30:32,640 --> 00:30:37,200
Speaker 6: fifteen thousand black male deaths in this country. How the

575
00:30:37,640 --> 00:30:39,680
Speaker 6: surge of violent crime, It was like Ferguson the first

576
00:30:40,120 --> 00:30:41,000
Speaker 6: Effect Florida.

577
00:30:41,040 --> 00:30:44,520
Speaker 7: Fact. You can explain to me how George Floyd's death.

578
00:30:44,640 --> 00:30:48,080
Speaker 2: Yea result causation. Yes, really are what happens, says.

579
00:30:48,160 --> 00:30:51,320
Speaker 6: After the Ferguson riot and after the Floyd riot, policemen,

580
00:30:51,600 --> 00:30:54,960
Speaker 6: in fear of their jobs, many times in political coverage,

581
00:30:55,120 --> 00:30:58,880
Speaker 6: pulled back from their jobs, resulting in an increasing listen,

582
00:30:59,040 --> 00:31:01,280
Speaker 6: I got to stop there there, Hold you can look

583
00:31:01,280 --> 00:31:02,520
Speaker 6: at We got.

584
00:31:02,360 --> 00:31:04,720
Speaker 7: To stop you there because you're literally making a connection

585
00:31:05,120 --> 00:31:06,440
Speaker 7: out of your own conjecture.

586
00:31:06,560 --> 00:31:07,520
Speaker 2: Cannot It's a real thing.

587
00:31:07,560 --> 00:31:09,280
Speaker 6: Look up, Look up the Ferguson effect, look up the

588
00:31:09,320 --> 00:31:12,560
Speaker 6: Floyd effect. It is a real term. It's a real term.

589
00:31:12,640 --> 00:31:13,200
Speaker 6: I didn't.

590
00:31:15,080 --> 00:31:16,000
Speaker 7: Between two things.

591
00:31:17,160 --> 00:31:19,200
Speaker 2: I'm not having more flashbacks here to.

592
00:31:19,960 --> 00:31:23,080
Speaker 8: Let him speak, Let him speak, let him at least

593
00:31:23,120 --> 00:31:26,880
Speaker 8: finish his point. It's so annoying when these TV pundits

594
00:31:26,920 --> 00:31:29,640
Speaker 8: do not let somebody finish what they're saying, is clay.

595
00:31:29,680 --> 00:31:33,400
Speaker 8: His point is is obvious, which is that BLM riots

596
00:31:33,680 --> 00:31:36,120
Speaker 8: led to d policing, which led to more people dying,

597
00:31:36,160 --> 00:31:38,080
Speaker 8: particularly more young black men dying.

598
00:31:39,040 --> 00:31:40,040
Speaker 2: That's all correct.

599
00:31:40,640 --> 00:31:43,880
Speaker 1: The fact that they don't even know anything about it

600
00:31:43,920 --> 00:31:46,000
Speaker 1: is evidence of how you know, we make fun of

601
00:31:46,040 --> 00:31:48,719
Speaker 1: you watching Morning Joe. I read the New York Times,

602
00:31:48,760 --> 00:31:52,560
Speaker 1: the Washington Post, we know their arguments as well or

603
00:31:52,600 --> 00:31:56,840
Speaker 1: better than they do. They don't know our arguments at all.

604
00:31:57,400 --> 00:32:01,640
Speaker 1: They have no exposure to a key cardinal aspect of

605
00:32:01,680 --> 00:32:06,080
Speaker 1: the results of the BLM riots. That's true to my

606
00:32:06,120 --> 00:32:09,000
Speaker 1: fellow gun owners out there. You want to improve your shooting.

607
00:32:09,080 --> 00:32:10,800
Speaker 1: I'm going to the range this weekend. Actually, my brother

608
00:32:10,880 --> 00:32:12,240
Speaker 1: had to remind me. I thought it was next week

609
00:32:12,280 --> 00:32:14,280
Speaker 1: and no, no, We're going this weekend, whole range day,

610
00:32:14,320 --> 00:32:17,200
Speaker 1: taking stuff out there. Gonna be trying to get dialed in,

611
00:32:17,360 --> 00:32:19,400
Speaker 1: trying to improve our skills a little bit. Want to

612
00:32:19,440 --> 00:32:23,520
Speaker 1: be proficient two A guys, and Mantis X is so

613
00:32:23,840 --> 00:32:25,720
Speaker 1: helpful in that process. I've got the system here at

614
00:32:25,720 --> 00:32:31,160
Speaker 1: home dry fire training that works so well that ninety

615
00:32:31,200 --> 00:32:34,840
Speaker 1: four percent of MANUSX users see improvement in their shot

616
00:32:34,880 --> 00:32:37,640
Speaker 1: within twenty minutes the first time they use it. You

617
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Speaker 1: want that trigger poll to be smooth, you want that

618
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Speaker 1: trigger poll to be front to back. This will help

619
00:32:42,680 --> 00:32:45,800
Speaker 1: you when you get the range. You'll be putting those

620
00:32:45,920 --> 00:32:48,440
Speaker 1: rounds on target in such a close group. And thanks

621
00:32:48,480 --> 00:32:52,640
Speaker 1: to mantis X. It's amazing military grade technology at an

622
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Speaker 1: affordable price. Get yours today. You'll be amazed at how

623
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Speaker 1: much your shooting improves. Mantisx dot com. That's Ma and

624
00:33:00,120 --> 00:33:05,840
Speaker 1: hesx mantis x dot com. Welcome back into Clay and Buck.

625
00:33:06,160 --> 00:33:06,440
Speaker 2: I don't know.

626
00:33:06,480 --> 00:33:11,160
Speaker 1: I'm hearing rumors yesterday that Clay a lah Happy Gilmour

627
00:33:11,960 --> 00:33:14,720
Speaker 1: just took a little running start at the taunt To

628
00:33:14,760 --> 00:33:18,560
Speaker 1: Towers golf outing yesterday and put one four hundred yards

629
00:33:18,640 --> 00:33:19,800
Speaker 1: right right on the green.

630
00:33:19,920 --> 00:33:20,520
Speaker 2: I don't even know.

631
00:33:20,680 --> 00:33:23,040
Speaker 1: He couldn't even hit it from the normal teas they

632
00:33:23,080 --> 00:33:25,640
Speaker 1: gave him a special tee where it was way back

633
00:33:26,240 --> 00:33:28,600
Speaker 1: we had a ring ring. We had a ringer on

634
00:33:28,640 --> 00:33:32,120
Speaker 1: our team, Buck, who was a former college golfer and

635
00:33:32,160 --> 00:33:35,960
Speaker 1: he plays golf still a lot. And when you play

636
00:33:36,040 --> 00:33:38,880
Speaker 1: golf with somebody who's actually really good, golf's a hard game.

637
00:33:38,920 --> 00:33:40,000
Speaker 2: Most people stink at it.

638
00:33:40,040 --> 00:33:41,760
Speaker 1: Even if you think you're pretty good at golf, you

639
00:33:41,760 --> 00:33:45,719
Speaker 1: probably hit a lot of really bad shots. This guy was,

640
00:33:46,000 --> 00:33:48,280
Speaker 1: I mean, just smoking the ball off the tee all

641
00:33:48,360 --> 00:33:52,560
Speaker 1: day and uh and so he carried us to a

642
00:33:52,640 --> 00:33:57,280
Speaker 1: large extent. But I was not an unmitigated disaster. And

643
00:33:57,320 --> 00:34:00,120
Speaker 1: that's not bad considering the last time I played golf

644
00:34:00,680 --> 00:34:02,760
Speaker 1: was months ago. So and I didn't even take a

645
00:34:02,760 --> 00:34:05,240
Speaker 1: practice swing before I got out there today because I

646
00:34:05,440 --> 00:34:08,279
Speaker 1: was yesterday because I was running around trying to take

647
00:34:08,320 --> 00:34:09,879
Speaker 1: care of a bunch of stuff in the morning, so

648
00:34:10,080 --> 00:34:12,280
Speaker 1: I would give myself a solid performance.

649
00:34:12,320 --> 00:34:12,480
Speaker 2: Great.

650
00:34:12,520 --> 00:34:15,359
Speaker 1: I hadn't played since I did the live pro am

651
00:34:15,440 --> 00:34:19,440
Speaker 1: if you remember that in Nashville, like in June, so

652
00:34:19,520 --> 00:34:21,960
Speaker 1: it's been several months and I wasn't very good in

653
00:34:22,040 --> 00:34:25,600
Speaker 1: the meantime. I'm just I'm hearing big hitter the Clay Travis.

654
00:34:25,640 --> 00:34:27,839
Speaker 1: That's what I'm told, you know, to big big swing

655
00:34:27,920 --> 00:34:31,879
Speaker 1: up there. Let's go back to Ted Cruz here, Ted

656
00:34:31,960 --> 00:34:36,400
Speaker 1: Cruz against Colin Allred last night on the debate stage

657
00:34:36,400 --> 00:34:40,040
Speaker 1: on this issue of men playing or boys playing in girls' sports. Really,

658
00:34:40,480 --> 00:34:43,719
Speaker 1: it's the main thing is once boys hit puberty and

659
00:34:43,800 --> 00:34:49,360
Speaker 1: girls hit puberty, the physiological differences are obvious and very

660
00:34:49,400 --> 00:34:52,640
Speaker 1: real and very powerful. When it comes to sports. The

661
00:34:52,680 --> 00:34:55,560
Speaker 1: physiological differences are real even before that, they're real in

662
00:34:55,600 --> 00:34:57,800
Speaker 1: the womb. But I'm just saying the strength and speed

663
00:34:57,800 --> 00:35:00,600
Speaker 1: differential once you know, boys and girls hit twelve, thirteen,

664
00:35:00,680 --> 00:35:03,839
Speaker 1: fourteen years old, that becomes very obvious. This is how

665
00:35:03,880 --> 00:35:06,600
Speaker 1: Ted Kruz laid this out in terms of policies and

666
00:35:06,640 --> 00:35:07,800
Speaker 1: all read play five.

667
00:35:07,640 --> 00:35:09,279
Speaker 4: He is a co sponsor, and he voted for a

668
00:35:09,360 --> 00:35:12,440
Speaker 4: law called the Equality Act. The Equality Act mandated that

669
00:35:12,480 --> 00:35:14,520
Speaker 4: boys be able to go in girls' bathrooms and their

670
00:35:14,600 --> 00:35:16,040
Speaker 4: locker rooms and their changing rooms.

671
00:35:16,080 --> 00:35:18,399
Speaker 2: He voted for it. That is his record. Number two.

672
00:35:18,760 --> 00:35:19,359
Speaker 2: There was a bill.

673
00:35:19,400 --> 00:35:21,840
Speaker 4: It was a very simple bill. It was narrowly defined.

674
00:35:22,040 --> 00:35:25,480
Speaker 4: It was protecting women in girls' sports. He voted no.

675
00:35:25,640 --> 00:35:29,719
Speaker 4: The only issue on that bill was whether biological boys

676
00:35:29,719 --> 00:35:31,200
Speaker 4: should compete against our daughters.

677
00:35:31,239 --> 00:35:32,280
Speaker 2: That's not fair.

678
00:35:32,760 --> 00:35:35,560
Speaker 4: Congressman all Read was an NFL linebacker. It is not

679
00:35:35,800 --> 00:35:39,600
Speaker 4: fair for a man to compete against women. The third time,

680
00:35:39,640 --> 00:35:42,800
Speaker 4: he signed onto something called the Transgender Bill of Rights

681
00:35:42,840 --> 00:35:46,920
Speaker 4: explicitly and he co sponsored it mandated that boys compete

682
00:35:46,960 --> 00:35:49,799
Speaker 4: against girls sports. And just two weeks ago, Congressman all

683
00:35:49,840 --> 00:35:53,359
Speaker 4: Read joined one hundred radical Democrats in demanding that our

684
00:35:53,440 --> 00:35:58,600
Speaker 4: military allowed drag shows on military bases, pay for soldiers

685
00:35:58,600 --> 00:36:02,080
Speaker 4: to have sex changes, you using taxpayer money, and pay

686
00:36:02,160 --> 00:36:05,600
Speaker 4: for children to be sterilized and have sex changes on

687
00:36:05,680 --> 00:36:06,640
Speaker 4: military basis.

688
00:36:08,200 --> 00:36:10,160
Speaker 2: You know, Za, that's tough to come back from.

689
00:36:10,160 --> 00:36:11,839
Speaker 1: In Texas, I was gonna say, what do you say

690
00:36:11,840 --> 00:36:14,680
Speaker 1: if you're all ready just that's all lies to say

691
00:36:14,719 --> 00:36:15,640
Speaker 1: that all lies.

692
00:36:15,640 --> 00:36:16,600
Speaker 2: People have goods.

693
00:36:17,000 --> 00:36:19,520
Speaker 1: He's running scared to your point, Buck, He's raised a

694
00:36:19,560 --> 00:36:22,960
Speaker 1: ton of money, but he now has an ad up

695
00:36:23,040 --> 00:36:26,040
Speaker 1: saying that he doesn't think that men should be able

696
00:36:26,080 --> 00:36:29,440
Speaker 1: to compete in women's sports. But I think that's why

697
00:36:29,480 --> 00:36:33,160
Speaker 1: this is crystallizing to such an extent for swing voters.

698
00:36:33,560 --> 00:36:38,000
Speaker 1: Imagine if you're a Latino voter in Texas and you

699
00:36:38,120 --> 00:36:41,120
Speaker 1: see that and you think this is crazy talk.

700
00:36:41,760 --> 00:36:42,080
Speaker 2: Again.

701
00:36:42,239 --> 00:36:45,880
Speaker 1: You can debate border policy and some of that gets confusing.

702
00:36:46,000 --> 00:36:49,400
Speaker 1: You can debate tax policy, it's it's easy to get

703
00:36:49,680 --> 00:36:51,480
Speaker 1: mucked up in the details.

704
00:36:52,080 --> 00:36:54,120
Speaker 2: Whether a dude should be able.

705
00:36:53,920 --> 00:36:57,280
Speaker 1: To compete as a women's athlete and win a women's

706
00:36:57,360 --> 00:37:01,319
Speaker 1: championship is so crystallizing that I think it's cutting through

707
00:37:01,320 --> 00:37:03,239
Speaker 1: the noise as we come and come down the home

708
00:37:03,280 --> 00:37:06,520
Speaker 1: stretch here. And I hope Kamala Harris gets asked about

709
00:37:06,520 --> 00:37:09,399
Speaker 1: this because you thought you've heard word salads from her

710
00:37:09,480 --> 00:37:12,080
Speaker 1: so far, Buck, Can you imagine her trying to respond

711
00:37:12,120 --> 00:37:14,080
Speaker 1: on this issue.

712
00:37:14,400 --> 00:37:16,440
Speaker 2: No, but I hope we get a chance to see it.

713
00:37:17,520 --> 00:37:19,600
Speaker 1: You know, crime is on the rise in a lot

714
00:37:19,640 --> 00:37:21,839
Speaker 1: of the country, despite by the way what was said

715
00:37:21,840 --> 00:37:23,440
Speaker 1: on the debate We're going to get to this crime

716
00:37:23,480 --> 00:37:25,920
Speaker 1: has been on the rise underbid and FBI haven't to

717
00:37:25,960 --> 00:37:28,440
Speaker 1: change their stats around. And look, you don't want to

718
00:37:28,480 --> 00:37:31,560
Speaker 1: wait for federal law enforcer to figure out what's going

719
00:37:31,600 --> 00:37:33,880
Speaker 1: on here. You just want to protect yourself and your family.

720
00:37:33,920 --> 00:37:36,120
Speaker 1: How do you do that? Well, Clay and I have

721
00:37:36,320 --> 00:37:39,560
Speaker 1: trained with the Saber family of products and these are

722
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Speaker 1: simply the best in class non lethal self defense products

723
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Speaker 1: you will find anywhere. Their non lethal pepper projectile launcher

724
00:37:46,880 --> 00:37:50,920
Speaker 1: the only sixty eight caliber launcher with a seven projectile capacity.

725
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Speaker 1: That means you've got more stopping power to deal with

726
00:37:54,080 --> 00:37:58,040
Speaker 1: the threat. Nothing else in the industry is lining up

727
00:37:58,080 --> 00:38:00,600
Speaker 1: with this at the same level. It's simply the best

728
00:38:00,600 --> 00:38:04,439
Speaker 1: out there. Don't accept any imitations. For nearly fifty years,

729
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Speaker 1: Saber has been dedicated to making the world safer. Go

730
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Speaker 1: to their website see for yourself. Go to saberradio dot com,

731
00:38:10,960 --> 00:38:15,759
Speaker 1: Sabre saberradio dot com or call eight four four eight

732
00:38:15,800 --> 00:38:20,040
Speaker 1: two four Safe. Welcome back in Clay Travis buck Sexton show.

733
00:38:20,080 --> 00:38:23,000
Speaker 1: We are scheduled to be joined by Senator Ted Cruz soon.

734
00:38:23,040 --> 00:38:26,600
Speaker 1: He had a debate last night with Colin Allred in

735
00:38:26,680 --> 00:38:30,640
Speaker 1: their Texas Senate race that is one of I would

736
00:38:30,680 --> 00:38:33,040
Speaker 1: say probably two, although Nebraska we may need to get

737
00:38:33,080 --> 00:38:36,680
Speaker 1: deb Fisher on at some point. The Republicans are looking

738
00:38:36,800 --> 00:38:39,880
Speaker 1: really good to take control of the Senate, Tim Sheehey

739
00:38:39,920 --> 00:38:42,759
Speaker 1: and Montana is running a great campaign, looks likely to

740
00:38:42,760 --> 00:38:45,799
Speaker 1: beat Tester of West Virginia is going to flip. Has

741
00:38:45,840 --> 00:38:49,359
Speaker 1: been expected for a while. Bernie Marino is I think

742
00:38:49,400 --> 00:38:52,399
Speaker 1: gonna win in Ohio tomorrow. We're gonna be joined by

743
00:38:52,520 --> 00:38:55,640
Speaker 1: Eric Hubdy, who is looking really good in Wisconsin. We

744
00:38:55,680 --> 00:38:58,839
Speaker 1: need to get Mike Rodgers from Michigan on a lot

745
00:38:58,840 --> 00:39:01,960
Speaker 1: of these battlegrounds eight all over the Midwest, and we're

746
00:39:01,960 --> 00:39:05,400
Speaker 1: going to be joined soon by by your friend Dave

747
00:39:05,480 --> 00:39:06,640
Speaker 1: McCormick in Pennsylvania.

748
00:39:06,719 --> 00:39:08,040
Speaker 2: Ted Cruise is with us. Now.

749
00:39:08,680 --> 00:39:11,440
Speaker 1: We'll get to the larger picture in a moment. But

750
00:39:11,520 --> 00:39:13,560
Speaker 1: what are you seeing on the on the ground, Senator?

751
00:39:13,600 --> 00:39:15,799
Speaker 1: Appreciate you making the time to join us. Great job

752
00:39:15,840 --> 00:39:17,600
Speaker 1: in the debate last night. We talked about it some

753
00:39:17,719 --> 00:39:20,719
Speaker 1: earlier on the show. What are you seeing on the

754
00:39:20,760 --> 00:39:24,800
Speaker 1: ground for both yourself and Trump and what are voters

755
00:39:24,840 --> 00:39:26,480
Speaker 1: most focused on in your experience?

756
00:39:27,440 --> 00:39:29,480
Speaker 7: Well, Claig, great to be with you guys, look at

757
00:39:29,680 --> 00:39:33,160
Speaker 7: it is a real battle in Texas. My biggest challenge

758
00:39:33,160 --> 00:39:36,520
Speaker 7: in the race is frankly complacency that people say, listen,

759
00:39:36,560 --> 00:39:39,799
Speaker 7: it's Texas, You're a Republican, this is easy. I think

760
00:39:39,880 --> 00:39:44,120
Speaker 7: that's objectively false. Chuck Schumer has been explicit I am

761
00:39:44,160 --> 00:39:46,799
Speaker 7: his number one target in the country, and Schumer and

762
00:39:46,880 --> 00:39:51,000
Speaker 7: George Sorows are flooding one hundred and fifty million dollars

763
00:39:51,040 --> 00:39:54,399
Speaker 7: into the state. I'm getting pummeled on TV. I've been

764
00:39:54,600 --> 00:39:58,240
Speaker 7: massively outspent, and there now been more than a dozen

765
00:39:58,360 --> 00:40:01,839
Speaker 7: polls that show this race is a one point race,

766
00:40:01,960 --> 00:40:03,960
Speaker 7: or a two point race, or a three point race.

767
00:40:04,000 --> 00:40:06,640
Speaker 7: They are all in and it is a battle. Right

768
00:40:06,640 --> 00:40:09,000
Speaker 7: I'm right in the middle of a fifty three stop

769
00:40:09,480 --> 00:40:11,600
Speaker 7: bus tour all over the state of Texas. I'm in

770
00:40:11,640 --> 00:40:14,799
Speaker 7: witchdaff Falls, Texas right now, headed up to Amarilla. Right

771
00:40:14,800 --> 00:40:17,840
Speaker 7: after that. We're criss crossing the state. But it is

772
00:40:17,920 --> 00:40:20,399
Speaker 7: a battle, and it's a one or two or three

773
00:40:20,400 --> 00:40:23,799
Speaker 7: point state where we are being massively outspent right now.

774
00:40:24,400 --> 00:40:27,200
Speaker 1: You know, Senator Cruz, We've got a lot of people

775
00:40:27,719 --> 00:40:29,799
Speaker 1: listening right now who live in the great state of

776
00:40:29,840 --> 00:40:32,520
Speaker 1: Texas and I think to some of them it might

777
00:40:32,520 --> 00:40:35,279
Speaker 1: even be a surprise that you're in anything even resembling

778
00:40:35,520 --> 00:40:36,319
Speaker 1: a close race.

779
00:40:36,560 --> 00:40:37,760
Speaker 2: I think, on the one.

780
00:40:37,600 --> 00:40:39,400
Speaker 1: Hand, you know, you've just been a fixture as a

781
00:40:39,440 --> 00:40:42,120
Speaker 1: Conservative senator for a while now, and people just expect,

782
00:40:42,200 --> 00:40:44,480
Speaker 1: kind of expect you to be there. But we're here

783
00:40:44,520 --> 00:40:46,520
Speaker 1: to tell them all. If you don't want your favorite

784
00:40:46,560 --> 00:40:48,360
Speaker 1: TV show going off the air, so to speak, you

785
00:40:48,400 --> 00:40:50,080
Speaker 1: got to make sure you actually watch. You got to

786
00:40:50,120 --> 00:40:53,360
Speaker 1: show up. How can people help at this point? What

787
00:40:53,440 --> 00:40:56,080
Speaker 1: are some of the groups that you'd like to see

788
00:40:56,160 --> 00:40:59,440
Speaker 1: getting more activated and involved, and what has to happen

789
00:40:59,480 --> 00:41:01,760
Speaker 1: to make sure that we pull this across the finish

790
00:41:01,840 --> 00:41:03,560
Speaker 1: line and you get six more years.

791
00:41:04,000 --> 00:41:07,359
Speaker 7: Well, there are two things that matter enormously. Number One,

792
00:41:07,400 --> 00:41:09,840
Speaker 7: if you're in Texas, come out and vote early. Voting

793
00:41:09,920 --> 00:41:12,760
Speaker 7: starts next week on Monday, So come out and vote early,

794
00:41:13,040 --> 00:41:14,800
Speaker 7: and get your friends to vote early. Pick up the

795
00:41:14,880 --> 00:41:18,240
Speaker 7: phone and call your friends, email your friends, text your sister,

796
00:41:18,400 --> 00:41:22,160
Speaker 7: your son, your next door neighbor, your co worker, get

797
00:41:22,200 --> 00:41:25,600
Speaker 7: them to vote. Turnout matters enormously. And then secondly, I

798
00:41:25,640 --> 00:41:27,640
Speaker 7: would ask every one of your listeners whether you're in

799
00:41:27,680 --> 00:41:30,279
Speaker 7: Texas or whether you're in any other state. Go to

800
00:41:30,360 --> 00:41:33,759
Speaker 7: our website. It's Ted Cruz dot org. Ted Cruz dot org,

801
00:41:33,800 --> 00:41:37,120
Speaker 7: Ted Cruz dot org. Go to the website and make

802
00:41:37,160 --> 00:41:40,520
Speaker 7: a contribution. Give ten dollars or twenty five or fifty dollars,

803
00:41:40,600 --> 00:41:42,960
Speaker 7: or maybe you can even give one hundred or five

804
00:41:43,040 --> 00:41:46,360
Speaker 7: hundred or one thousand. But whatever you can give, please

805
00:41:46,560 --> 00:41:49,520
Speaker 7: go right now to Ted Cruz dot org because we

806
00:41:49,760 --> 00:41:53,799
Speaker 7: are getting swamped. Schumeran soro us. Look, at some level,

807
00:41:53,800 --> 00:41:58,200
Speaker 7: it's not complicated. If you are a hard partisan Democrat

808
00:41:59,239 --> 00:42:03,719
Speaker 7: after Donald Trump, there is nobody in the country you

809
00:42:03,760 --> 00:42:07,440
Speaker 7: want to beat more than me, And so every radical

810
00:42:07,600 --> 00:42:10,920
Speaker 7: left wing Democrat gives money to my opponent. When my

811
00:42:10,960 --> 00:42:14,960
Speaker 7: opponent spoke at the Democrat convention in Chicago, the entire

812
00:42:15,120 --> 00:42:21,160
Speaker 7: stadium spontaneously began chanting beat Ted Cruz. I was the

813
00:42:21,200 --> 00:42:24,160
Speaker 7: only person that got that particular treatment. Guys, I'll tell you,

814
00:42:24,160 --> 00:42:27,719
Speaker 7: I'm actually pretty proud of that. You had twenty thousand

815
00:42:27,719 --> 00:42:30,680
Speaker 7: hardcore radicals who I think are trying to destroy America

816
00:42:31,040 --> 00:42:33,560
Speaker 7: and they see me as one of the principal impediments

817
00:42:33,600 --> 00:42:36,200
Speaker 7: standing in their way. Now, I'll tell you what happened

818
00:42:36,239 --> 00:42:38,719
Speaker 7: to my opponent, Colin Allred, who is a very very

819
00:42:38,800 --> 00:42:42,600
Speaker 7: left wing Democrat. He raised over a million dollars in

820
00:42:42,640 --> 00:42:45,680
Speaker 7: the next twenty four hours, and so that money he

821
00:42:45,800 --> 00:42:48,399
Speaker 7: is trying to lie to the voters of Texas. He's

822
00:42:48,440 --> 00:42:51,400
Speaker 7: trying to claim run away from his record. The debate

823
00:42:51,480 --> 00:42:54,000
Speaker 7: last night was all about him running away from his record.

824
00:42:54,239 --> 00:42:57,319
Speaker 7: But the only way we can counteract that is with

825
00:42:57,400 --> 00:43:00,520
Speaker 7: the resources to communicate my record in his, and to

826
00:43:00,560 --> 00:43:03,359
Speaker 7: do that takes your listeners going to Ted Cruz dot

827
00:43:03,440 --> 00:43:06,440
Speaker 7: org right now and giving generously at Ted Cruse dot org.

828
00:43:06,960 --> 00:43:10,160
Speaker 1: We played some of the clips from your debate last night, Senator,

829
00:43:10,440 --> 00:43:14,360
Speaker 1: and it seems particularly the case that sometimes, as you

830
00:43:14,440 --> 00:43:17,880
Speaker 1: well know, races can come down to one issue that

831
00:43:18,160 --> 00:43:21,960
Speaker 1: just really connects with voters. It feels like Colin alread

832
00:43:22,080 --> 00:43:26,680
Speaker 1: your opponent his refusal to condemn men pretending to be

833
00:43:26,760 --> 00:43:31,400
Speaker 1: women and playing women's sports, particularly because he's actually an athlete.

834
00:43:32,000 --> 00:43:35,040
Speaker 1: He played football, he played in the NFL, played college football.

835
00:43:35,080 --> 00:43:37,120
Speaker 1: He knows better than anybody else. This is not some

836
00:43:37,880 --> 00:43:43,800
Speaker 1: guy sitting in a university faculty lounge arguing about transgender issues.

837
00:43:43,840 --> 00:43:46,600
Speaker 2: He knows how much bs this is. Are you seeing

838
00:43:46,600 --> 00:43:47,279
Speaker 2: that cut through?

839
00:43:47,320 --> 00:43:49,560
Speaker 1: Because that the town Hall that Trump just did with

840
00:43:49,560 --> 00:43:52,880
Speaker 1: Harris Faulkner today, every woman raised her hand when she

841
00:43:53,000 --> 00:43:56,200
Speaker 1: asked whether they were concerned about their daughters or granddaughters

842
00:43:56,239 --> 00:43:59,320
Speaker 1: competing against men in men and women's sports.

843
00:43:59,360 --> 00:44:01,280
Speaker 2: Are you seeing that resonate with your voters?

844
00:44:02,280 --> 00:44:06,080
Speaker 7: Absolutely, it is resonating powerfully. And and and look like

845
00:44:06,160 --> 00:44:08,680
Speaker 7: you've talked about this issue for a long time. You

846
00:44:08,760 --> 00:44:10,879
Speaker 7: obviously come from the world of sports, and so you've

847
00:44:10,920 --> 00:44:14,640
Speaker 7: been really vocal in taking on this lunacy and doing

848
00:44:14,680 --> 00:44:18,399
Speaker 7: so early on. But but it is an issue that

849
00:44:18,400 --> 00:44:21,880
Speaker 7: that it really shows how radical and extreme Colin already

850
00:44:21,920 --> 00:44:25,759
Speaker 7: is that that he has four different times supported and

851
00:44:25,840 --> 00:44:29,080
Speaker 7: voted for boys competing against girls sports. He's voted for

852
00:44:29,200 --> 00:44:32,600
Speaker 7: boys going to girls' bathrooms, going to the girls locker rooms,

853
00:44:32,640 --> 00:44:36,320
Speaker 7: going to girls changing rooms. And for the radical democrat,

854
00:44:36,400 --> 00:44:38,879
Speaker 7: your daughter, your granddaughter, she has no rights, she has

855
00:44:38,960 --> 00:44:42,480
Speaker 7: no right not to be at her changing room next

856
00:44:42,520 --> 00:44:47,600
Speaker 7: to a fully naked grown man, and and and that's

857
00:44:48,080 --> 00:44:51,440
Speaker 7: that's just fundamentally wrong. And and and this issue is

858
00:44:51,480 --> 00:44:55,520
Speaker 7: about fairness. You know, it didn't used to be controversial

859
00:44:55,600 --> 00:44:58,319
Speaker 7: to observe that boys and girls are different, that men

860
00:44:58,360 --> 00:45:02,120
Speaker 7: and women are different. And we all saw the ridiculousness

861
00:45:02,440 --> 00:45:06,920
Speaker 7: of two biological men at the Olympics dominating women's boxing.

862
00:45:07,800 --> 00:45:12,440
Speaker 7: You know that is and Clay You put your your

863
00:45:12,480 --> 00:45:14,960
Speaker 7: finger on exactly where this is resonating. It's funny the

864
00:45:15,000 --> 00:45:18,040
Speaker 7: media thinks that that the people who care about this

865
00:45:18,360 --> 00:45:22,520
Speaker 7: are are the crazies, and it is it is moderate

866
00:45:22,640 --> 00:45:27,400
Speaker 7: undecided women that that recognize this is really unfair and

867
00:45:27,440 --> 00:45:30,560
Speaker 7: it speaks volumes that at the debate, Colin Allred tried

868
00:45:30,600 --> 00:45:34,120
Speaker 7: to keep saying that's that's not I don't support boys

869
00:45:34,120 --> 00:45:37,040
Speaker 7: competing against girls, and he's just flat outlying because he

870
00:45:37,080 --> 00:45:40,239
Speaker 7: can say that in the debate, but every time he's

871
00:45:40,320 --> 00:45:41,919
Speaker 7: voted on it, he's voted the wrong way.

872
00:45:43,239 --> 00:45:46,000
Speaker 1: Speaking of Senator Ted Cruz, Ted Cruz dot org for

873
00:45:46,000 --> 00:45:48,480
Speaker 1: those of you in Texas or will I guess anywhere

874
00:45:48,560 --> 00:45:51,640
Speaker 1: right what a pitch in and help out Ted Cruz

875
00:45:51,680 --> 00:45:54,280
Speaker 1: dot org. Right now they're spending one hundred and fifty

876
00:45:54,840 --> 00:45:57,160
Speaker 1: million dollars against you.

877
00:45:57,320 --> 00:45:58,000
Speaker 2: Senator Cruz.

878
00:45:58,040 --> 00:46:02,400
Speaker 1: The how concerned should peop both be right now about

879
00:46:01,760 --> 00:46:07,120
Speaker 1: the California of Texas. It's something that I know Democrats

880
00:46:07,160 --> 00:46:10,160
Speaker 1: for a long time have been hoping to achieve. What

881
00:46:10,520 --> 00:46:12,239
Speaker 1: are the long term trends and what do you think

882
00:46:12,239 --> 00:46:13,120
Speaker 1: can be done about it?

883
00:46:14,000 --> 00:46:16,319
Speaker 7: So it's a very real issue, and I will say

884
00:46:16,400 --> 00:46:20,759
Speaker 7: there are countervailing factors. So there's some people who leave

885
00:46:20,880 --> 00:46:24,080
Speaker 7: California who lead blue states, and they're fed up. They're

886
00:46:24,120 --> 00:46:25,880
Speaker 7: fed up with the high taxes, they're fed up with

887
00:46:25,880 --> 00:46:30,680
Speaker 7: the high regulations, the shutdowns, the woke policies, and they

888
00:46:30,719 --> 00:46:32,279
Speaker 7: look around the country and they say, where do I

889
00:46:32,320 --> 00:46:35,880
Speaker 7: want to be and they pick Texas. And the data

890
00:46:35,920 --> 00:46:39,520
Speaker 7: show actually those folks are more conservative than the median voter.

891
00:46:39,600 --> 00:46:42,279
Speaker 7: They show up here, they buy a pickup truck, a

892
00:46:42,440 --> 00:46:46,319
Speaker 7: hat and boots and a shotgun. And I call them

893
00:46:46,440 --> 00:46:49,640
Speaker 7: refugees for freedom. I want every one of them to

894
00:46:50,200 --> 00:46:52,440
Speaker 7: come to Texas and to be here and to fight

895
00:46:52,719 --> 00:46:57,000
Speaker 7: for our freedoms. There's another group, which is a company

896
00:46:57,680 --> 00:47:02,040
Speaker 7: moves to Texas and they for all their employees, and

897
00:47:02,160 --> 00:47:05,840
Speaker 7: the employees didn't necessarily decide I want to be in Texas.

898
00:47:06,040 --> 00:47:09,440
Speaker 7: They just stick with their jobs. Those guys tend to

899
00:47:09,520 --> 00:47:12,160
Speaker 7: vote exactly like they did where they came from. And

900
00:47:12,520 --> 00:47:14,600
Speaker 7: in many ways, Texas is a victim of our own

901
00:47:14,600 --> 00:47:18,040
Speaker 7: success because we're the best place in the country to

902
00:47:18,160 --> 00:47:20,920
Speaker 7: run a business. And so we have so many businesses

903
00:47:20,960 --> 00:47:24,640
Speaker 7: moving to Texas that they are bringing in hundreds of

904
00:47:24,680 --> 00:47:28,399
Speaker 7: thousands of employees from California and other Blue states, and

905
00:47:28,480 --> 00:47:33,240
Speaker 7: so that influx, they're cross cutting instincts. But the second group,

906
00:47:33,560 --> 00:47:38,879
Speaker 7: it's dangerous because they're voting just like they did in La. Ted.

907
00:47:40,400 --> 00:47:42,399
Speaker 1: First of all, everybody go to Ted Cruz dot org,

908
00:47:42,440 --> 00:47:44,920
Speaker 1: go donate to him. I want to build on this

909
00:47:44,960 --> 00:47:46,800
Speaker 1: because I do think this is part of a larger

910
00:47:46,880 --> 00:47:50,000
Speaker 1: picture here. If you're looking at the national Senate race,

911
00:47:50,440 --> 00:47:54,360
Speaker 1: Republicans are looking really good in Montana, West Virginia's flipping,

912
00:47:54,760 --> 00:47:58,200
Speaker 1: you're starting to see panic. I think on the Democrat side,

913
00:47:58,560 --> 00:48:01,520
Speaker 1: they are now just trying to what your state because

914
00:48:01,560 --> 00:48:05,000
Speaker 1: they're terrified of some of the trend lines they're seeing elsewhere.

915
00:48:05,480 --> 00:48:07,960
Speaker 1: And if they could knock you off, they feel like

916
00:48:08,120 --> 00:48:11,759
Speaker 1: maybe they've got some chance to try to retain their majority.

917
00:48:12,160 --> 00:48:15,960
Speaker 1: So this is a nationalized play. Really, it's not about Texas.

918
00:48:16,280 --> 00:48:19,080
Speaker 1: It's about a desperate ploy to try to retain the

919
00:48:19,160 --> 00:48:22,360
Speaker 1: Senate in a larger national context on the map. Is

920
00:48:22,360 --> 00:48:24,440
Speaker 1: that what you think a lot of this money is

921
00:48:24,480 --> 00:48:25,120
Speaker 1: motivated by.

922
00:48:25,960 --> 00:48:29,279
Speaker 7: I think that's absolutely right. And look, let's break it

923
00:48:29,360 --> 00:48:32,720
Speaker 7: down in different options that can happen anyone in business

924
00:48:32,840 --> 00:48:35,680
Speaker 7: or life. You think about best case scenario, worst case scenario.

925
00:48:35,680 --> 00:48:38,600
Speaker 7: You try to give probabilities. All of us hope we

926
00:48:38,640 --> 00:48:43,000
Speaker 7: have a fantastic election in November. We hope that Donald

927
00:48:43,040 --> 00:48:46,160
Speaker 7: Trump is reelected as president, that we win a Republican senative,

928
00:48:46,160 --> 00:48:49,359
Speaker 7: Republican House. That would be very, very good. A lot

929
00:48:49,400 --> 00:48:51,600
Speaker 7: of good would come of it. We will secure the border,

930
00:48:51,640 --> 00:48:54,240
Speaker 7: we will cut taxes, we will end the war on energy,

931
00:48:54,320 --> 00:48:57,840
Speaker 7: we will bring down inflation, we will end the wars abroad.

932
00:48:58,040 --> 00:49:00,279
Speaker 7: Israel will defeat Hamas. There's a lot of good that

933
00:49:00,320 --> 00:49:03,160
Speaker 7: will come of that. But on the other hand, it

934
00:49:03,280 --> 00:49:05,759
Speaker 7: might be a bad election. The numbers are close enough.

935
00:49:05,800 --> 00:49:10,719
Speaker 7: It could be if God forbid Kamala Harris wins. I

936
00:49:10,760 --> 00:49:13,520
Speaker 7: think it is likely that the Democrats also will win

937
00:49:13,640 --> 00:49:17,279
Speaker 7: the House. In my judgment, the White House and the

938
00:49:17,280 --> 00:49:20,400
Speaker 7: House of Representatives are positively correlated. They're going to go together.

939
00:49:21,400 --> 00:49:24,040
Speaker 7: If the Democrats win both the White House and the House,

940
00:49:25,040 --> 00:49:28,080
Speaker 7: then the Senate becomes orders of magnitude more important. It

941
00:49:28,120 --> 00:49:30,960
Speaker 7: is the only check and balance to stop the country

942
00:49:31,320 --> 00:49:33,840
Speaker 7: from plunging over the cliff. And you laid out the

943
00:49:33,840 --> 00:49:36,680
Speaker 7: math exactly right. Today, the Democrats have a fifty one

944
00:49:36,719 --> 00:49:39,600
Speaker 7: to forty nine majority in the Senate. We're going to

945
00:49:39,640 --> 00:49:42,400
Speaker 7: win West Virginia. The Democrats have essentially conceded it, so

946
00:49:42,480 --> 00:49:45,360
Speaker 7: that takes it to fifty to fifty. And right now

947
00:49:45,400 --> 00:49:48,960
Speaker 7: we are leading in Montana by four to six points.

948
00:49:49,480 --> 00:49:52,320
Speaker 7: If we win West Virginia and Montana, the Republicans have

949
00:49:52,360 --> 00:49:55,440
Speaker 7: a fifty one to forty nine majority. Now Chuck Schumer

950
00:49:55,480 --> 00:49:58,040
Speaker 7: is looking at those identical poll numbers and he realizes

951
00:49:58,080 --> 00:50:00,799
Speaker 7: the same thing. If he wants to stop it, there's

952
00:50:00,880 --> 00:50:02,840
Speaker 7: only one place he has a prayer to do that,

953
00:50:02,920 --> 00:50:05,680
Speaker 7: and that is Texas. And the last time I ran

954
00:50:05,719 --> 00:50:08,840
Speaker 7: in twenty eighteen, I won by less than three points.

955
00:50:08,880 --> 00:50:12,000
Speaker 7: I won by two point six percent. So Schumer's saying, look,

956
00:50:12,480 --> 00:50:15,440
Speaker 7: all I need is three points in Texas, and if

957
00:50:15,440 --> 00:50:19,000
Speaker 7: he flips Texas, he holds onto the majority. And let

958
00:50:19,040 --> 00:50:21,319
Speaker 7: me tell you, guys, what happens there, because it is

959
00:50:21,480 --> 00:50:26,560
Speaker 7: truly terrifying. If Schumer gets the majority with a Democrat

960
00:50:26,560 --> 00:50:29,680
Speaker 7: House and a Democrat white House. Hollin all Read has

961
00:50:29,760 --> 00:50:32,719
Speaker 7: pledged to be the fiftieth vote to end the filibuster.

962
00:50:32,800 --> 00:50:35,399
Speaker 7: The filibuster is the requirement of sixty votes to take

963
00:50:35,480 --> 00:50:38,680
Speaker 7: up major legislation. If that happens, let me tell you

964
00:50:38,760 --> 00:50:41,000
Speaker 7: what January of next year looks like. The first thing

965
00:50:41,040 --> 00:50:43,919
Speaker 7: Schumer does is then the filibuster. He then does four

966
00:50:43,960 --> 00:50:48,040
Speaker 7: things in rapid succession. He strikes down every voter integrity

967
00:50:48,080 --> 00:50:50,440
Speaker 7: law in the country, strikes down every photo ID law

968
00:50:50,440 --> 00:50:53,279
Speaker 7: in the country, and he legalizes ballot harvesting everywhere in

969
00:50:53,320 --> 00:50:56,760
Speaker 7: the country. Number one. Number two he adds two new states,

970
00:50:57,120 --> 00:50:59,239
Speaker 7: d C and Puerto Rico. He would do that because

971
00:50:59,280 --> 00:51:03,399
Speaker 7: he believes that gives them four new Democrat senators. Number three,

972
00:51:03,440 --> 00:51:06,080
Speaker 7: he would give immediate voting rights to every illegal alien

973
00:51:06,080 --> 00:51:09,800
Speaker 7: in America. They're twenty to thirty million illegal aliens in America.

974
00:51:09,880 --> 00:51:13,520
Speaker 7: If he does that, Texas immediately turns blue and every

975
00:51:13,520 --> 00:51:18,319
Speaker 7: statewide elected official in Texas is defeated. Texas becomes California.

976
00:51:18,920 --> 00:51:22,120
Speaker 7: And number four, he would pack the Supreme Court, grow

977
00:51:22,160 --> 00:51:25,200
Speaker 7: it from nine justices to thirteen, and put four left

978
00:51:25,239 --> 00:51:28,000
Speaker 7: wing justices. Now, guys, both of you have known you

979
00:51:28,040 --> 00:51:32,520
Speaker 7: a long time. I am, by nature an optimist. I

980
00:51:32,640 --> 00:51:36,080
Speaker 7: have no answer to that scenario. I view that scenario

981
00:51:36,600 --> 00:51:40,479
Speaker 7: as a system ending event in history. Great nations rise

982
00:51:40,520 --> 00:51:43,320
Speaker 7: and fall. That would be, I believe, the end of

983
00:51:43,360 --> 00:51:45,600
Speaker 7: the United States of America as we know it. And

984
00:51:45,680 --> 00:51:49,240
Speaker 7: what is terrifying is we are literally one vote away.

985
00:51:49,800 --> 00:51:52,040
Speaker 7: Those are the stakes of my race. And that's why

986
00:51:52,040 --> 00:51:54,719
Speaker 7: I would ask folks to go to Ted Cruz dot

987
00:51:54,800 --> 00:51:57,960
Speaker 7: org right now and ensure that we don't lose and

988
00:51:58,040 --> 00:51:59,800
Speaker 7: we don't go off the edge of that cliff.

989
00:52:00,480 --> 00:52:00,840
Speaker 2: Amen.

990
00:52:00,960 --> 00:52:04,120
Speaker 1: We have so many of you listening in Texas right now.

991
00:52:04,800 --> 00:52:07,319
Speaker 1: You gotta go out and vote. Do not sleep on this.

992
00:52:07,440 --> 00:52:09,239
Speaker 1: Think of all the money they're putting into this. Think

993
00:52:09,239 --> 00:52:11,560
Speaker 1: of what Ted has just put out there as the

994
00:52:11,600 --> 00:52:15,000
Speaker 1: future if they pull off this upset through really trickery

995
00:52:15,040 --> 00:52:17,879
Speaker 1: and treachery. But that's what the Democrats excel at Ted

996
00:52:18,000 --> 00:52:21,400
Speaker 1: Cruz dot org and all of our Texans and we

997
00:52:21,520 --> 00:52:24,200
Speaker 1: got a lot of you. Get out there and vote Ted.

998
00:52:24,239 --> 00:52:26,520
Speaker 1: Thank you so much, Senator Cruise. Always appreciate you being

999
00:52:26,520 --> 00:52:27,000
Speaker 1: with us.

1000
00:52:27,440 --> 00:52:28,160
Speaker 7: Thank you, gentlemen.

1001
00:52:28,200 --> 00:52:32,600
Speaker 1: God bless God bless Ted Cruz dot org important a

1002
00:52:32,600 --> 00:52:36,520
Speaker 1: website also buck yesterday I called in about this time

1003
00:52:36,840 --> 00:52:39,759
Speaker 1: on the golf course because I was helping to raise

1004
00:52:39,840 --> 00:52:42,719
Speaker 1: money for tunnel to Towers, which I believe is one

1005
00:52:42,760 --> 00:52:46,000
Speaker 1: of the best charitable organizations anywhere in the country, and

1006
00:52:46,040 --> 00:52:48,879
Speaker 1: we raised millions of dollars yesterday. You and I are

1007
00:52:48,960 --> 00:52:53,120
Speaker 1: donating proceeds from Crockett Coffee to Tunnel to Towers because we,

1008
00:52:53,400 --> 00:52:57,120
Speaker 1: individually and the two of us, are so impressed at

1009
00:52:57,160 --> 00:52:59,239
Speaker 1: what we have seen from Frank Siller in the work

1010
00:52:59,280 --> 00:53:01,920
Speaker 1: that he does. I was out at Liberty National Golf

1011
00:53:01,960 --> 00:53:05,000
Speaker 1: Club in New Jersey, overlooks the New York City skyline.

1012
00:53:05,000 --> 00:53:07,360
Speaker 1: A lot of our wour listeners know how beautiful and

1013
00:53:07,400 --> 00:53:11,680
Speaker 1: majestic that area can be. But man, they had four

1014
00:53:11,840 --> 00:53:15,879
Speaker 1: different individuals share the story of having their mortgages paid off.

1015
00:53:15,920 --> 00:53:18,120
Speaker 1: Three of them were widows who had lost their husbands

1016
00:53:18,160 --> 00:53:22,040
Speaker 1: and had young children. They make a tremendous difference for

1017
00:53:22,160 --> 00:53:26,319
Speaker 1: so many people out there, firemen, police officers, people in

1018
00:53:26,400 --> 00:53:31,600
Speaker 1: the armed forces. If you see the sacrifices that they make,

1019
00:53:31,640 --> 00:53:33,520
Speaker 1: and some of these guys and gals make the ultimate

1020
00:53:33,800 --> 00:53:36,560
Speaker 1: sacrifice and have young families, they will pay off the

1021
00:53:36,600 --> 00:53:41,800
Speaker 1: mortgage and take care of the responsibility of their lodging,

1022
00:53:41,840 --> 00:53:44,719
Speaker 1: their residence cost. It makes such a huge difference. I

1023
00:53:44,760 --> 00:53:47,080
Speaker 1: wish you'd been all able to hear from three different

1024
00:53:47,080 --> 00:53:51,400
Speaker 1: widows there. I played in a golf event, but it

1025
00:53:51,440 --> 00:53:53,120
Speaker 1: was so much more than that to be able to

1026
00:53:53,239 --> 00:53:57,120
Speaker 1: raise just an incredible amount millions of dollars. Join me,

1027
00:53:57,320 --> 00:54:00,279
Speaker 1: Join Buck, go to Tunnel to Towers and sign up

1028
00:54:00,360 --> 00:54:03,880
Speaker 1: right now, T two T dot org. That's t the

1029
00:54:04,040 --> 00:54:07,520
Speaker 1: number two T dot org. Eleven dollars a month makes

1030
00:54:07,520 --> 00:54:11,319
Speaker 1: a tremendous difference. A small dollar amount from a lot

1031
00:54:11,320 --> 00:54:14,080
Speaker 1: of people is bigger than big dollars from a small

1032
00:54:14,160 --> 00:54:17,320
Speaker 1: number of people. It just adds up. Help Frank Siller out.

1033
00:54:17,560 --> 00:54:20,160
Speaker 1: I played in a great foursome with guys Tony, John,

1034
00:54:20,239 --> 00:54:22,680
Speaker 1: Marco and Cliff. There were so many people out there,

1035
00:54:22,680 --> 00:54:25,600
Speaker 1: one hundreds helping to raise money. Join us in supporting

1036
00:54:25,600 --> 00:54:27,839
Speaker 1: Tunnel to Towers T two t dot org.

1037
00:54:28,960 --> 00:54:32,120
Speaker 5: Play Travis and Buck Sexton telling it like it is.

1038
00:54:32,360 --> 00:54:35,640
Speaker 5: Find them on the free iHeartRadio app or wherever you

1039
00:54:35,760 --> 00:54:36,919
Speaker 5: get your podcasts.