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Speaker 1: Welcome in Tuesday edition Clay Travis buck Sexton Show. We

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Speaker 1: appreciate all of you hanging out with us. It is

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Speaker 1: debate Day, nine pm Eastern, six pm on the West Coast,

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Speaker 1: Donald Trump versus Kamala Harris from Philadelphia, perhaps the only

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Speaker 1: debate the two of them will have all throughout the season.

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Speaker 1: We are exactly eight weeks from election day today. That is,

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Speaker 1: if my math is right, fifty six days away. Many

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Speaker 1: of you will be able to vote in a month

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Speaker 1: or less, depending on what community you are in. It

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Speaker 1: is officially go time. We will dive into what we

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Speaker 1: believe are the biggest and most important aspects of the debate.

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Speaker 1: Certainly we'll be breaking it all down for you tomorrow.

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Speaker 1: In earnest poles have begun to turn against Kamala Harris.

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Speaker 1: The analogy that I would make since football season is

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Speaker 1: he is Donald Trump, has the ball, He is winning.

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Speaker 1: He can run out the clock by simply running off

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Speaker 1: tackle and putting together a couple of first downs. Will

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Speaker 1: see whether or not he is able to do so

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Speaker 1: again nine pm Eastern. I know almost all of you

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Speaker 1: will be watching to see what we get. And while

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Speaker 1: there's lots of discussions about what version of Trump we

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Speaker 1: will get. To be fair, he was awful. I think

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Speaker 1: he acknowledges this in the first debate that he had

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Speaker 1: against Joe Biden. He was much better in the second debate.

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Speaker 1: He obviously knocked out Joe Biden on June twenty seventh,

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Speaker 1: in the first debate of this presidential cycle. We will

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Speaker 1: see how he does against Kamala Harris. But I do

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Speaker 1: think Buck, we have to spend a little bit of

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Speaker 1: time to start off the show today just reiterating for

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Speaker 1: you how crazy far left wing Kamala Harris really is.

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Speaker 1: And they keep finding more and more receipts from her

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Speaker 1: failed twenty twenty presidential campaign, where everyone was competing to

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Speaker 1: be the furthest left wing they could possibly be with frankly,

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Speaker 1: almost the exception of Joe Biden, everybody else was trying

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Speaker 1: to get to the left of Bernie Sanders because they

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Speaker 1: thought that was the pathway to end up being the nominee.

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Speaker 1: And as part of an ACLU I believe it was

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Speaker 1: a written survey see an end of their credit went

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Speaker 1: back and tracked down these answers. Kamala Harris was asked

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Speaker 1: about whether or not she believed in sex change operations

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Speaker 1: paid for by taxpayers for illegal immigrants. It sounds like

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Speaker 1: mad lib crazy liberal perspective. And she was asked about

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Speaker 1: drug possession. She said yes on sex changes, and she

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Speaker 1: said that you should be able to possess crack, fentanyl,

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Speaker 1: whatever drug you wanted. She was in favor of decriminalizing possession.

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Speaker 1: That really happened. Aaron Burnett, the host of the CNN

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Speaker 1: show on which this report was shared, even herself, seems

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Speaker 1: staggered by the implications and the fact that Kamala Harris

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Speaker 1: did not really in her campaign have any explanation for

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Speaker 1: these insanely far left wing policies. I want to give

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Speaker 1: CNN credit something we don't say often on this show.

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Speaker 1: This is what it sounded like last night on Aaron Burnett.

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Speaker 1: As that was all laid out.

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Speaker 2: On immigration, she made this open ended pledge to end

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Speaker 2: immigrant attention. She said she supported taxpayer funded gender transition

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Speaker 2: surgeries for detained migrants.

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Speaker 3: She also said she's.

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Speaker 4: A pair funded gender transition surgeries for detainment change Mike.

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Speaker 3: She actually said she supported.

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Speaker 2: She wrote both wrote and answered in the affirmative when

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Speaker 2: she was asked this, and she said she also supported

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Speaker 2: it for federal prisoners now. She also pledged to slash

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Speaker 2: immigration detention by fifty percent, close all family and private facilities,

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Speaker 2: and decrease funding for ICE and then the.

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Speaker 3: ICE detainers with local law enforcement. Okay.

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Speaker 1: She also buck said that she would end all criminal

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Speaker 1: penalties for having crack and finnel, among other things. This

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Speaker 1: is crazy town even for Democrats. What's your reaction here

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Speaker 1: when you see this coming out, not only coming out,

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Speaker 1: but CNN being the one to cover it.

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Speaker 5: Kamala Harris is a far left radical who would have

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Speaker 5: no chance of winning any nationwide election without the media

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Speaker 5: being willing to completely cover for her, live for her,

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Speaker 5: carry water for her, do everything that they think that

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Speaker 5: is possible, really to create an image of somebody that's

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Speaker 5: just not based in reality. And when Kamala Harris has

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Speaker 5: been when she was asked about this very gently, I

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Speaker 5: might add by Dana Bash over at c ND recently.

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Speaker 3: Right, it wasn't a Dana bash she was doing the interview. Right,

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Speaker 3: They're all the same at CNN. It's all blends together.

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Speaker 5: Remember, she kept saying, my principles haven't changed, which I

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Speaker 5: thought was interesting because I don't think Kamala Harris actually

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Speaker 5: has any principles, at least not as a person in

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Speaker 5: public life. I think that she is a devotee of

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Speaker 5: power and of being around the powerful wielding power in

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Speaker 5: their name, and I think she's a vessel for the

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Speaker 5: Democrat machine. I do not believe that she actually really

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Speaker 5: believes in anything. And the fact and the way you

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Speaker 5: know this is that she took positions, Clay, and this

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Speaker 5: is what's coming up in that ACLU questionnaire segment they

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Speaker 5: did on CNN. She took positions that nobody would ever

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Speaker 5: think would play well nationally, right. I mean, you couldn't

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Speaker 5: think for a second that some of these things that

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Speaker 5: she was in now banning FRACKA mean, these are things

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Speaker 5: that somebody says if their plan when they say it

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Speaker 5: is to lie and said that I never said it,

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Speaker 5: or just changed their mind the moment they run up

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Speaker 5: against political resistance. This is why I have had a

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Speaker 5: dare I say it, a quiet and cool confidence about

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Speaker 5: Trump's future here ever since Kamala became the nominee, which

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Speaker 5: always factored into my assessment of why Joe Biden had

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Speaker 5: I know, the debate disaster happened, but why Biden was

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Speaker 5: actually a better play, a safer play, in many ways

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Speaker 5: than Kamala Harris. Not only does she lack the political

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Speaker 5: skills we talked about that yesterday that you've had in

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Speaker 5: some other politicians, particularly some other Democrat politicians in recent cycles,

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Speaker 5: she also is somebody who can't really claim to stand

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Speaker 5: for anything other than whatever works in the moment. And

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Speaker 5: I think that that lack of authenticity, coupled with the

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Speaker 5: lack of authenticity that she exudes when she's just talking

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Speaker 5: to people, right, I mean, she comes across as inauthentic,

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Speaker 5: and her political program, you know, her platform, whatever you

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Speaker 5: want to call it, is also deeply anauthentic because she

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Speaker 5: doesn't really care, well, what works. What do you need

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Speaker 5: me to say? That's what Kamala will say. So I

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Speaker 5: think that this is tonight. You know, you're gonna see

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Speaker 5: a lot of dancing. Remember even Gavin Newsom when he

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Speaker 5: debated Ron DeSantis, he did a lot of oh, bud,

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Speaker 5: you know, just I'm just gonna talk in circles here

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Speaker 5: and be handsome.

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Speaker 3: Didn't work.

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Speaker 5: People saw it, and I think they'll see through Kamala

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Speaker 5: Harris tonight.

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Speaker 1: To be fair, Hannity was fact checking Gavin Newsom in

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Speaker 1: real time and calling out his lies, and I think

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Speaker 1: that really rattled Gavin Newsom. The facts weren't on his

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Speaker 1: side and they were shown to him. I do think

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Speaker 1: this really cuts through the noise.

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Speaker 3: Buck.

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Speaker 1: If Trump says to Kamala Harris, in addition to wanting

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Speaker 1: to leave the border wide open, you believed that we

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Speaker 1: should be paying taxpayer American taxpayers should be paying for

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Speaker 1: sex change surgery for illegal immigrants, that is Banana Land crazy.

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Speaker 1: And let me give you a line here, Buck. If

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Speaker 1: Trump wanted to take control of this debate early. This

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Speaker 1: came from an emailer and it's actually an incredible suggestion,

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Speaker 1: and I forwarded it to the Trump team. Buck, what

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Speaker 1: if Trump, in his opening response, said, I want to

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Speaker 1: do something that's going to really stun everybody here today.

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Speaker 1: I want to thank Kamala Harris. I want to thank you,

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Speaker 1: Kamala for me being alive today, because if you hadn't

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Speaker 1: been such a disaster at the border, and I hadn't

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Speaker 1: turned my head to look at the graphic of all

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Speaker 1: of the illegal immigrants that you have allowed into this country,

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Speaker 1: I would have been murdered by an assassin on July

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Speaker 1: thirteenth in Butler, Pennsylvania. The only reason I'm alive today

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Speaker 1: is because you did such a bad job at the

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Speaker 1: Border that I had to turn and look at that

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Speaker 1: graphic the exact moment that guy fired a bullet. I

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Speaker 1: think that it would be like a holy crap moment

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Speaker 1: right off the top.

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Speaker 3: You know this.

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Speaker 1: So much of the tone of a debate is set

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Speaker 1: in the first five minutes, and a lot of people

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Speaker 1: tune in for the first five or ten minutes and

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Speaker 1: then they kind of get everything gets all the noise

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Speaker 1: kind of gets in your head and you can't keep

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Speaker 1: up with it all. This is an average viewer. I

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Speaker 1: think if he came out with a punchy line like that,

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Speaker 1: that ties her directly to the failures at the Border,

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Speaker 1: sex change operations. Things like that. He sets the tone.

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Speaker 1: It's like hitting a big punch early in a boxing match.

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Speaker 1: And I think a lot of people would resonate. And

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Speaker 1: here's the other thing about these debates, and you know it,

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Speaker 1: and I think this was the Biden team what they

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Speaker 1: found out. Biden got knocked out on June twenty seventh,

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Speaker 1: but we kept watching the clips four weeks. It's not

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Speaker 1: just what's said, it's what goes viral and what clips

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Speaker 1: echo through social media and solidify the opinion of what

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Speaker 1: was said. Because most people are going to watch all

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Speaker 1: ninety minutes. Everyone in America is going to see at

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Speaker 1: least one thirty or sixty second clip. What are those

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Speaker 1: distilled moments and how do they capture the zeitgists. It's

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Speaker 1: not just the debate anymore, it's the echo of the

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Speaker 1: viral clips for weeks after. I think that we can

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Speaker 1: all expect that ABC is going to be favorable toward Kamala.

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Speaker 1: They can't make it too obvious because then that's counterproductive

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Speaker 1: for them. But I think that ABC will show us

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Speaker 1: a different a slightly different approach than what cen end did,

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Speaker 1: even where they decided, for once, let's have a pretty neutral,

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Speaker 1: pretty neutral.

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Speaker 3: Monitor see and it end did a good job.

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Speaker 5: You know, there was nothing I would If there was

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Speaker 5: anything I found objectionable in the way Sin and moderated

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Speaker 5: that debate, I would have said it. But I didn't

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Speaker 5: see anything that was a problem. I thought all the

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Speaker 5: questions were fair.

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Speaker 3: This is the thing.

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Speaker 5: It's possible to do that right. Yes, it's worth reminding.

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Speaker 5: You know, people say, oh, well they can't do you know,

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Speaker 5: everyone has a bias. I mean you can come close

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Speaker 5: enough in a debate. You know, referees and sports aren't perfect,

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Speaker 5: but like they can get the major calls.

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Speaker 1: Should note in fact, if the game's well officiated, you

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Speaker 1: don't even notice who called the game. That's what the

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Speaker 1: best debate is. You shouldn't have the debate moderator be

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Speaker 1: a storyline at all. They should fade into the background

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Speaker 1: and it should be about the people on the stage.

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Speaker 5: And I do think that you'll see just the questions

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Speaker 5: will be more favorable to Kamala trying to get out

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Speaker 5: of the way maybe some of.

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Speaker 3: Her weaknesses or early on.

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Speaker 5: But look, she's not a good orator, she's not a

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Speaker 5: good public speaker, she is not smart on policy. She

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Speaker 5: really has very little to play here except some emotional

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Speaker 5: appeal of being a woman, being a minority. You know,

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Speaker 5: Trump is a big bad man. And abortion. She's going

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Speaker 5: to lean on abortion, every single abortion a lot. You know,

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Speaker 5: the single most important policy by far to the Democrat

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Speaker 5: Party is the ability to kill babies in the womb,

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Speaker 5: and and that is that'll be a part of it.

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Speaker 5: But I really do think that there's there's no way

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Speaker 5: she comes out of tonight looking great. I think her

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Speaker 5: team is just hoping that she can sort of keep

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Speaker 5: things status quo. In terms of if I'm Kamala Harris

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Speaker 5: and I come out of tonight's debate without a clear

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Speaker 5: gain of any kind for Trump, that's a win.

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Speaker 1: That's the best I see. I think she has. I

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Speaker 1: think she's losing, and I think she needs to win

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Speaker 1: or no debate.

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Speaker 5: I agree, but I'm saying she doesn't yourtation, your point,

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Speaker 5: so woe that the best she can hope for is

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Speaker 5: a draw. The best she can hope for his status

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Speaker 5: quo draw. Realistically in terms of public opinion and the

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Speaker 5: polling after this, Yeah, of course. I mean she'd love

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Speaker 5: to turn the momentum.

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Speaker 6: Right.

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Speaker 5: She is losing and she could be behind two or

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Speaker 5: three points after this in a way where everyone.

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Speaker 3: Goes, oh, this is not looking good. Correct.

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Speaker 1: I think the result of this one will not be

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Speaker 1: the knockout that we saw in June twenty seventh. I

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Speaker 1: believe both parties will turn and raise their gloves, and

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Speaker 1: the people who like Trump will say Trump one, and

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Speaker 1: the people who like headline Kamala one.

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Speaker 3: Clay Travis with a bold prediction, Kamala Harris will do

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Speaker 3: better than a senile dementia.

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Speaker 1: Riddle Joe Biden, I would, I mean, that would be

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Speaker 1: amazing to watch if Kamala somehow was worse than Biden.

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Speaker 3: I don't know what she would.

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Speaker 1: I mean, she might probably have to collapse like faint,

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Speaker 1: you know, when she gets asked about sex change operations

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Speaker 1: for migrants. I don't even know how she could hardly

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Speaker 1: be worse. But again, if I'm advising Trump, it is economy,

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Speaker 1: border crime, just perry an attack, and I will say,

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Speaker 1: don't follow her down the rabbit hole. Don't go down

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Speaker 1: the rabbit hole with whatever argument she wants to make.

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Speaker 1: He did that a little bit with Biden, Remember when

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Speaker 1: they started arguing over how history was going to judge

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Speaker 1: their presidencies. And I'm like, no one ever says that

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Speaker 1: a Republican did a good job. Don't argue about what

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Speaker 1: historians think. Just kind of stay on the issues, and

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Speaker 1: if he can, he's gonna win.

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Speaker 3: It's a side note, Clay. It's one of the sad

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Speaker 3: things for me.

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Speaker 5: So many contemporary historians, they're just they're all communists now.

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Speaker 3: It is scary and unfortunate the.

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Speaker 5: Historians now, so many of them, it seems like they

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Speaker 5: might as well be the gender studies professor team at

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Speaker 5: Wesleyan or something like. They're just so many left wing

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Speaker 5: historians and a good tell as always if they use BCE.

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Speaker 5: By the way, that's all you have to know.

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Speaker 1: We're coming up on the first break. But there's a

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Speaker 1: world where I would have been a history professor. I

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Speaker 1: was a history major. I absolutely loved it. And if

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Speaker 1: you go back and look at popular historians, so many

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Speaker 1: of them truly love America. And it does seem like

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Speaker 1: many modern day historians really hate America.

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Speaker 3: And it's you.

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Speaker 5: Know, they have such power to tell the story of

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Speaker 5: America that it's sad to see the story of America

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Speaker 5: becomes so negative. History should be one of the more

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Speaker 5: objective humanities profession or humanity these endeavors, and unfortunately it's

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Speaker 5: it's like gender studies now in a lot of cases. Anyway,

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Speaker 5: we'll get we'll get into that discussion another time. We're

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Speaker 5: excited to introduce you to one of our newest sponsors

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Speaker 7: Saving America one thought at a time. Clay Travis and

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Speaker 7: Buck Sexton. Find them on the free iHeartRadio app or

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Speaker 7: wherever you get your podcasts.

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Speaker 3: We are joined by the what an on Bill? O'Reilly

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Speaker 3: Uncle Bill in the house? Everybody.

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Speaker 5: He's got a new book out today confronting the President's

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Speaker 5: no spin assessments from Washington to Biden.

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Speaker 3: Perfect timing to have him on with the release of

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Speaker 3: the new book.

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Speaker 5: Also go to Bill Oreilly dot Com for his No

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Speaker 5: Spin News analysis there day in and day out. Bill,

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Speaker 5: great to have you back. We've got a debate tonight.

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Speaker 5: How are you seeing it as we get ready here

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Speaker 5: to watch these two intellectual combatants have at it on stage.

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Speaker 6: Well, the pressure's on Kamala Harris, but I don't believe

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Speaker 6: the Vice president is going to do anything different, So

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Speaker 6: I've got to our website. The strategy is, no matter

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Speaker 6: what the issue, Trump did it so open borders and

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Speaker 6: catastrophe stemming from that. It was Trump's immigration policies that

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Speaker 6: did it. He doesn't want immigration reform, inflation. Trump lighted

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Speaker 6: the fuse that afghanis stand. It was Trump's policies misguided

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Speaker 6: for the Taliban that led to that. That's what Harris

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Speaker 6: is going to put out there, so people should expect it.

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Speaker 6: Now with Donald Trump, you don't know what he's going

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Speaker 6: to do, right, which is always the drama when Trump

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Speaker 6: appears anywhere. If it were me and I wrote a

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Speaker 6: message of the day and a column entitled the Kamala Mystery,

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Speaker 6: if I were Donald Trump tonight, I would understand that

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Speaker 6: no corporate media type is ever going to challenge or

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Speaker 6: define Kamala Harris. So this is my chance to do it,

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Speaker 6: and how you do it is this. So David m Are,

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Speaker 6: the anchor of ABC News, he asked the Trump a question, right,

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Speaker 6: and Trump has to be polite tonight. Number one. Polite

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Speaker 6: should have that tattooed onto his wrist. Polite because David,

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Speaker 6: I'll get to that at a moment. But I want

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Speaker 6: to tell the audience watching this evening that I'm very

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Speaker 6: uneasy standing here on the stage as an American, not

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Speaker 6: as somebody who's running for president, because I don't know

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Speaker 6: what has happened in the past three and a half years.

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Speaker 6: I don't know why the Biden Harris administration opened the border,

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Speaker 6: leading to millions of foreign nationals, some of them dangerous,

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Speaker 6: coming into this country. I don't know. When I left

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Speaker 6: office that inflation was one point four percent and I

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Speaker 6: went to nine percent in a year. I don't know why.

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Speaker 6: So I hope you guys asked the Vice president those

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Speaker 6: questions because I'd like to know. Now back to you question, David,

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Speaker 6: you see what I mean. So he embarrasses and puts

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Speaker 6: the moderators on the spot. He gets his point across

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Speaker 6: that Tom Larrence doesn't define anything, and then he can

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Speaker 6: answer any questions they throw out. So I don't know

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Speaker 6: whether Donald Trump reads my stuff. I think he might,

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Speaker 6: but if he does that, he'll win the election. If

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Speaker 6: he does that.

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Speaker 1: We just had a big discussion about who's actually up

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Speaker 1: for grabs here, and the data from twenty twenty reflects

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Speaker 1: that Trump didn't actually underperform massively among Black voters, Hispanic voters,

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Speaker 1: any of those groups. He actually lost a lot of

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Speaker 1: suburban women. And I think it's because they bought into

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Speaker 1: the idea, and I think some of them are embarrassed,

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Speaker 1: but they bought into the idea that COVID was going

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Speaker 1: to kill everybody and that every school had to shut down,

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Speaker 1: and that Trump was uniquely un qualified to deal with COVID.

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Speaker 1: Then Joe Biden came in and he tried to mandate

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Speaker 1: COVID shots, and basically he flailed around for three and

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Speaker 1: a half years, and I think it's been an unmitigated disaster.

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Speaker 1: Do you buy into some of those suburban women are

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Speaker 1: still up to grabs up for grabs? If not, which

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Speaker 1: groups do you think are going to end up making

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Speaker 1: this decision to who wins the election? And how would

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Speaker 1: you suggest Trump should go after them.

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Speaker 6: I don't think that Trump should target any groups. I

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Speaker 6: think that he should basically speak to everybody as an individual,

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Speaker 6: one on one. I'm the former president. Here's what I

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Speaker 6: did for you. It's what I'm going to do a

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Speaker 6: few votes for me. I wouldn't target various groups. I

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Speaker 6: disagree a little bit with your analysis on women. I

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Speaker 6: think that Donald Trump is a problem with American women

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Speaker 6: because they don't like his demeanor. He's mean, and women

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Speaker 6: take that much more personally than men. And I think

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Speaker 6: that's a fact. And so it's not so much that

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Speaker 6: they objected his COVID policy or whatever. And now women,

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Speaker 6: the majority of American women do the grocery shopping for

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Speaker 6: the home. They got to know they're getting pounded. They

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Speaker 6: got to know that discretionary income is way off. So

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Speaker 6: it's a matter of Trump trying to reassure women that

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Speaker 6: he's going to help them and their families if he's elected,

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Speaker 6: and he's got to do it in a way that's

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Speaker 6: not He don't have to be provocative doing that. You

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Speaker 6: don't say, Look, you remember the old Saturday Night Live skit, right, Jane,

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Speaker 6: you ignorant slut? Remember that dan Ackroyd you guys don't

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Speaker 6: remember that too young. Yeah, right, Well that Trump does

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Speaker 6: a variation of that every time he talks about aris.

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Speaker 6: You don't need to do that. You just have to say, look,

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Speaker 6: the woman doesn't have any problem solving skills and won't

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Speaker 6: even give an interview. And here's a kicker. I sent

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Speaker 6: the book to Trump Confronting the Prisons because Trump's a

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Speaker 6: friend of mine, and Trump's in the book, okay, And

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Speaker 6: I sent him the note. I said, look, you might

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Speaker 6: want to read this book because it's relevant to you

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Speaker 6: today because Kamala Harrison her campaign is doing exactly what

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Speaker 6: Warren Harding did in nineteen twenty, exactly the same thing.

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Speaker 6: She's not answering any questions about anything, and he believes

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Speaker 6: she can win doing that, and Harding won, He beat

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Speaker 6: the Democrats because the country was set up with Woodrow Wilson.

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Speaker 6: It was all personal and Harding was a disaster. I

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Speaker 6: mean that it was so bad it was almost laughable.

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Speaker 6: And that's why the relevancy of my book to today

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Speaker 6: is important. But anyway, Trump needs to be a human

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Speaker 6: being up there, not a caricature. No matter how she

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Speaker 6: tries to bait him. Just use the old Reagan line

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Speaker 6: to Jimmy Carter in nineteen eighty. There you go again.

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Speaker 6: Just use it and everybody at home will go, yeah,

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Speaker 6: there she goes again. Listen, if it were you Clay

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Speaker 6: or you Buck or me O'Reilly, and we were on

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Speaker 6: that stage against Kamala Harris, what do you think would happen?

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Speaker 3: A visceration? She would be destroyed utterly, be a tough

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Speaker 3: knight for Kamala.

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Speaker 6: There would. Because you do this for a living. I

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Speaker 6: do this for a living. We analyze what is actually

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Speaker 6: happening without crazy emotion. And that's what Trump has to do. Now.

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Speaker 6: He's been told that a million times. But whether he

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Speaker 6: can bring discipline to his presentation, I think he will.

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Speaker 6: He's got to know this is his shot, because he

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Speaker 6: should be ten points up.

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Speaker 3: Now.

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Speaker 5: How are you feeling about where Trump is right now

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Speaker 5: in the momentum shift?

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Speaker 3: Bill?

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Speaker 5: I mean the polls now, some of them are showing

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Speaker 5: Trump ahead a little, some of them are showing in

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Speaker 5: the Swing States basically a tie within the MARGI of error,

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Speaker 5: but better than Trump was doing in twenty twenty at

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Speaker 5: this point, better than Trump was doing in twenty sixteen

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Speaker 5: at this point when he won. Are you feeling confident,

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Speaker 5: or do you still have concerns that Trump's going to

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Speaker 5: have to turn on the after burners here to get

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Speaker 5: it done.

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Speaker 6: I think it's a dead heat, and I think that

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Speaker 6: Donald Trump has to cut down on his rhetorical mistakes.

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Speaker 6: If he does that, he probably will eat it out

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Speaker 6: because I don't believe Kamala Harris has any game at all.

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Speaker 6: You want to do a sports metaphor, what does she got?

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Speaker 6: Tell me what she's got? Tell me one thing, just

437
00:25:10,160 --> 00:25:13,600
Speaker 6: one thing that's better now than it was four years

438
00:25:13,600 --> 00:25:18,119
Speaker 6: ago when Trump left office. Just give me one. But

439
00:25:18,200 --> 00:25:20,119
Speaker 6: that's the kind of stuff you've got to present to

440
00:25:20,200 --> 00:25:23,080
Speaker 6: the American people. You got to just get it down

441
00:25:23,160 --> 00:25:25,679
Speaker 6: to the basic level and stop with all this crazy

442
00:25:25,720 --> 00:25:30,280
Speaker 6: stuff about skin color and unmarried people and cats and dogs.

443
00:25:30,840 --> 00:25:36,920
Speaker 6: This is insane. You just say, hey, you're an American,

444
00:25:37,000 --> 00:25:39,600
Speaker 6: you're living your life. Is anything in your life better

445
00:25:39,680 --> 00:25:42,760
Speaker 6: now than it was when I was there? And he

446
00:25:42,840 --> 00:25:47,760
Speaker 6: answers no. All the polls show that. So I'm a

447
00:25:47,800 --> 00:25:51,400
Speaker 6: simple man. You guys know that. And it's a miracle

448
00:25:51,440 --> 00:25:54,040
Speaker 6: that a simple man like Bill O'Reilly can be the

449
00:25:54,080 --> 00:25:59,040
Speaker 6: best selling nonfiction author in the world. But simplicity can

450
00:25:59,080 --> 00:25:59,840
Speaker 6: go a long way.

451
00:26:01,359 --> 00:26:04,560
Speaker 1: That's not a bad line to be able to drop. Congratulations.

452
00:26:04,560 --> 00:26:07,240
Speaker 1: I know you've got a new book coming out today.

453
00:26:07,280 --> 00:26:10,240
Speaker 1: What do you today? In fact, yes, and I'm sure

454
00:26:10,240 --> 00:26:11,280
Speaker 1: it will be a bestseller.

455
00:26:11,359 --> 00:26:14,080
Speaker 5: As confronting the presidents on the day of the debate,

456
00:26:14,160 --> 00:26:17,800
Speaker 5: Clay no less almost like a not bad.

457
00:26:17,640 --> 00:26:19,440
Speaker 3: Time at all. All right, So.

458
00:26:20,359 --> 00:26:24,960
Speaker 1: You we talked about how CNN's moderators basically vanished on

459
00:26:25,080 --> 00:26:27,919
Speaker 1: June twenty seven to a large extent and allowed the

460
00:26:27,960 --> 00:26:31,119
Speaker 1: story to be Trump versus Biden, and obviously Biden's mental

461
00:26:31,160 --> 00:26:33,720
Speaker 1: and physical cognition revealed itself.

462
00:26:34,440 --> 00:26:36,520
Speaker 3: Do you think ABC's.

463
00:26:35,880 --> 00:26:40,480
Speaker 1: Moderators will do the same or tomorrow morning when everybody

464
00:26:40,520 --> 00:26:43,840
Speaker 1: is assessing and later tonight as everybody breaks down, do

465
00:26:43,920 --> 00:26:47,600
Speaker 1: you think the ABC moderators make themselves a part of

466
00:26:47,680 --> 00:26:49,879
Speaker 1: this debate or do they kind of fade into the

467
00:26:49,880 --> 00:26:51,320
Speaker 1: background as CNN did?

468
00:26:52,920 --> 00:26:55,480
Speaker 6: Excellent question, Thank you.

469
00:26:55,640 --> 00:26:55,760
Speaker 8: So.

470
00:26:57,040 --> 00:27:03,240
Speaker 6: As I reported the day after the CNN debate that

471
00:27:03,520 --> 00:27:11,840
Speaker 6: sunk Biden, the moderators Pepper and Bash were told you

472
00:27:11,960 --> 00:27:17,000
Speaker 6: better be fair, your jobs on the line, So they

473
00:27:17,000 --> 00:27:22,080
Speaker 6: were scared to death and they were neutral. When Dana

474
00:27:22,160 --> 00:27:27,879
Speaker 6: Bash interviewed Kamala Harris. She turned into poor performance because

475
00:27:27,920 --> 00:27:32,960
Speaker 6: she didn't follow up. He refused to she allowed evasions.

476
00:27:34,160 --> 00:27:37,960
Speaker 6: So tonight you got David Muir, not known for being

477
00:27:38,000 --> 00:27:40,240
Speaker 6: a very astude interviewer. Would you both agree with that?

478
00:27:41,040 --> 00:27:45,640
Speaker 5: Yes, he's very handsome though, as play says, as Place.

479
00:27:45,680 --> 00:27:50,960
Speaker 1: Is incredibly handsome and the most popular ABC the News broadcast.

480
00:27:51,000 --> 00:27:54,399
Speaker 1: He's very good at reading glass, right, Yeah, he needs glass.

481
00:27:54,480 --> 00:27:54,720
Speaker 3: Well.

482
00:27:55,600 --> 00:27:57,919
Speaker 6: So you guys know, I worked as a correspondent for

483
00:27:57,960 --> 00:28:02,120
Speaker 6: ABC News under Jennings Peter Jenners, and I knew Copple,

484
00:28:02,119 --> 00:28:04,600
Speaker 6: and I knew the whole boy, the whole network.

485
00:28:04,640 --> 00:28:04,840
Speaker 9: There.

486
00:28:05,520 --> 00:28:08,960
Speaker 6: Muer is a good news reader, all right. He says

487
00:28:09,080 --> 00:28:14,160
Speaker 6: tonight fifteen times in the first five minutes of that broadcast, Tonight, tonight, tonight, tonight, tonight.

488
00:28:14,440 --> 00:28:16,720
Speaker 6: So that means he's not writing the script. Somebody's writing

489
00:28:16,720 --> 00:28:20,280
Speaker 6: it for him. I've never seen David Muhr do an

490
00:28:20,320 --> 00:28:23,760
Speaker 6: interview that went well, but maybe he will rise to

491
00:28:23,800 --> 00:28:27,480
Speaker 6: the occasion. The other one, Lindsay Davis is a liberal woman.

492
00:28:28,359 --> 00:28:31,600
Speaker 6: There's no question about that. She comes at it from

493
00:28:31,640 --> 00:28:36,480
Speaker 6: a sensibility of race and gender. She'll probably be a

494
00:28:36,480 --> 00:28:40,440
Speaker 6: little feis there, but do I expect either of them

495
00:28:41,000 --> 00:28:46,000
Speaker 6: to push Kamala Harris or point out that she's evading.

496
00:28:47,160 --> 00:28:47,280
Speaker 8: No.

497
00:28:48,360 --> 00:28:51,960
Speaker 6: However, I do know that the CEO of Disney, which

498
00:28:52,040 --> 00:28:58,560
Speaker 6: owns ABC News, has issued instructions, not himself, through his minions,

499
00:28:59,440 --> 00:29:03,480
Speaker 6: that they bet or not show any overt bias against Trump.

500
00:29:05,280 --> 00:29:07,880
Speaker 6: And these are two individuals who are not going to

501
00:29:07,960 --> 00:29:12,200
Speaker 6: go against the power. So I don't expect any overt Byrans.

502
00:29:12,560 --> 00:29:17,040
Speaker 6: I expect them to just accept what Tomala says. And

503
00:29:17,120 --> 00:29:19,360
Speaker 6: here and here's a good question for them if they're

504
00:29:19,400 --> 00:29:22,560
Speaker 6: listening to Clay Buck, which they should be. Tom Arison's

505
00:29:23,000 --> 00:29:27,840
Speaker 6: basic campaign now is we're gonna go, We're gonna start

506
00:29:27,880 --> 00:29:30,719
Speaker 6: a new direction. Why do you need a new direction?

507
00:29:31,000 --> 00:29:33,240
Speaker 6: You just call us that Joe Biden's the greatest president

508
00:29:33,280 --> 00:29:35,640
Speaker 6: since Lincoln. Why are we going in a new direction?

509
00:29:36,640 --> 00:29:43,680
Speaker 6: What isn't that again? Simple question? That's your whole campaign. Oh,

510
00:29:43,800 --> 00:29:46,640
Speaker 6: go in a new direction? Lo Hey, joy, We're gonna

511
00:29:46,640 --> 00:29:51,800
Speaker 6: have a lot of joy. What if by we's so great?

512
00:29:52,200 --> 00:29:54,880
Speaker 6: Why are you doing a new direction? See, these are

513
00:29:54,880 --> 00:29:57,440
Speaker 6: the kind of stuff that can make a difference. But

514
00:29:57,520 --> 00:30:00,040
Speaker 6: I don't expect that to be asked or anything close to.

515
00:30:01,440 --> 00:30:04,720
Speaker 1: Bill the book is out. It is fantastic. We appreciate

516
00:30:04,720 --> 00:30:07,520
Speaker 1: you coming on with us confronting the presidents. No spin

517
00:30:07,560 --> 00:30:11,000
Speaker 1: assessments from Washington to Biden. Enjoy the debate. We will

518
00:30:11,040 --> 00:30:13,120
Speaker 1: talk to you again soon. You can also check out

519
00:30:13,160 --> 00:30:15,360
Speaker 1: Bill O'Reilly dot com. Thank you, sir.

520
00:30:16,320 --> 00:30:18,640
Speaker 6: Thanks having in guys, always a pleasure.

521
00:30:19,120 --> 00:30:25,920
Speaker 1: Always, You know, Buck, Joe Biden needed on June twenty seventh,

522
00:30:26,400 --> 00:30:30,080
Speaker 1: little bit of testosterone in his life, and maybe you

523
00:30:30,120 --> 00:30:32,760
Speaker 1: wouldn't be having to buy me a stake, and maybe

524
00:30:32,800 --> 00:30:36,000
Speaker 1: he would still be the nominee out there right now

525
00:30:36,360 --> 00:30:40,400
Speaker 1: for the Democrat Party. Instead, he walked out on the stage,

526
00:30:40,440 --> 00:30:43,959
Speaker 1: no vitality, no exceptional energy.

527
00:30:44,680 --> 00:30:47,240
Speaker 3: He looked like a dead man walking.

528
00:30:48,000 --> 00:30:50,160
Speaker 1: If you don't want to look like Joe Biden on

529
00:30:50,240 --> 00:30:53,840
Speaker 1: June twenty seventh and put forward the worst debate performance

530
00:30:53,880 --> 00:30:57,040
Speaker 1: in the history of the United States, maybe you could

531
00:30:57,040 --> 00:30:59,719
Speaker 1: put a little testosterone back in your life with Chalk's

532
00:30:59,760 --> 00:31:03,960
Speaker 1: all natural mail Vitality stack. It augments the natural energy

533
00:31:04,000 --> 00:31:07,680
Speaker 1: source your body produces and has natural ingredients. And also,

534
00:31:07,760 --> 00:31:11,120
Speaker 1: by the way, it would even help the NPR guys.

535
00:31:11,320 --> 00:31:13,880
Speaker 1: We talked about this the other day. The NPR guys

536
00:31:13,920 --> 00:31:16,280
Speaker 1: got their testosterone tested, and it probably is not going

537
00:31:16,360 --> 00:31:21,440
Speaker 1: to surprise you. They tested subnormal, like almost off the charts.

538
00:31:21,720 --> 00:31:22,360
Speaker 3: Beta mail.

539
00:31:22,920 --> 00:31:26,160
Speaker 1: If you want some energy and some vitality and you

540
00:31:26,200 --> 00:31:28,080
Speaker 1: don't want to be like Joe Biden on the stage

541
00:31:28,200 --> 00:31:30,840
Speaker 1: or like an NPR reporter, you should check out Chalk

542
00:31:30,920 --> 00:31:34,800
Speaker 1: right now choq dot com. Use my name Clay. Massive

543
00:31:34,840 --> 00:31:38,040
Speaker 1: discount on any subscription for life. You can cancel at

544
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Speaker 1: any time. I can't guarantee that you're gonna rip out

545
00:31:41,040 --> 00:31:43,200
Speaker 1: ten reps of one hundred and eighty five like I did,

546
00:31:43,240 --> 00:31:46,760
Speaker 1: because frankly, not everyone is a superhuman beast like me.

547
00:31:47,120 --> 00:31:50,280
Speaker 1: But I can guarantee you that it will help you.

548
00:31:50,280 --> 00:31:52,960
Speaker 1: You can call her text five zero chalk three thousand,

549
00:31:53,280 --> 00:31:55,760
Speaker 1: say Clay and Buck sent me. That's five zero chalk

550
00:31:55,840 --> 00:31:59,520
Speaker 1: three thousand. Chalk's a US based customer service team standing by,

551
00:31:59,600 --> 00:32:03,040
Speaker 1: ready to assist you. Five zero chalk three thousand. Do

552
00:32:03,200 --> 00:32:03,920
Speaker 1: it today.

553
00:32:04,880 --> 00:32:08,040
Speaker 3: Patriots Radio hosts a couple of.

554
00:32:08,080 --> 00:32:12,479
Speaker 7: Regular guys, Clay Travis and Buck Sexton. Find them on

555
00:32:12,520 --> 00:32:17,040
Speaker 7: the free iHeartRadio app or wherever you get your podcasts.

556
00:32:16,320 --> 00:32:20,120
Speaker 5: And welcome back into Clay and back debate night tonight.

557
00:32:20,640 --> 00:32:21,600
Speaker 3: It's gonna be a big one.

558
00:32:21,960 --> 00:32:26,320
Speaker 5: It's gonna be huge, and we are diving into all

559
00:32:26,360 --> 00:32:28,280
Speaker 5: of the latest in terms of the numbers, but also

560
00:32:28,320 --> 00:32:31,400
Speaker 5: the analysis what is likely to be discussed tonight, where

561
00:32:31,440 --> 00:32:34,920
Speaker 5: the pressure points, the pain points may be for each

562
00:32:35,120 --> 00:32:40,000
Speaker 5: of these combatants on the stage of politics. And we'll

563
00:32:40,040 --> 00:32:42,320
Speaker 5: get some of your calls here in a second worth

564
00:32:42,600 --> 00:32:47,080
Speaker 5: noting that the Michigan State Supreme Court has ruled and

565
00:32:47,480 --> 00:32:53,120
Speaker 5: RFK Junior will stay on the ballot there.

566
00:32:54,600 --> 00:32:57,160
Speaker 3: That is not good. So not good.

567
00:32:57,160 --> 00:32:59,600
Speaker 5: If you want Trump to win, maybe it doesn't matter.

568
00:32:59,680 --> 00:33:02,800
Speaker 5: I hope it doesn't matter. That would be great, but

569
00:33:02,880 --> 00:33:07,880
Speaker 5: this is this is not the situation that you want RFK.

570
00:33:08,320 --> 00:33:11,880
Speaker 5: You have understand he has his own internal polling and

571
00:33:12,120 --> 00:33:14,160
Speaker 5: he's going to have a better sense of sense of

572
00:33:14,160 --> 00:33:17,480
Speaker 5: this than anybody. The reason he has been advocating for

573
00:33:17,600 --> 00:33:21,360
Speaker 5: taking his name off the ballot even after the Trump

574
00:33:21,560 --> 00:33:24,560
Speaker 5: you know, apart from or in addition to the Trump endorsement,

575
00:33:25,280 --> 00:33:27,640
Speaker 5: is he knows that he's taking more Trump voters than

576
00:33:27,680 --> 00:33:31,400
Speaker 5: he is commal of voters. So staying on the ballot

577
00:33:31,480 --> 00:33:33,600
Speaker 5: in Michigan, you might say, well, people know that he's

578
00:33:33,680 --> 00:33:37,560
Speaker 5: endorsed Trump. Yeah, but if five thousand or ten thousand

579
00:33:37,600 --> 00:33:40,200
Speaker 5: people decide they're going to vote for RFK Junior or

580
00:33:40,200 --> 00:33:41,880
Speaker 5: some kind of a protest, or they're just going to

581
00:33:41,920 --> 00:33:44,800
Speaker 5: do it anyway. That could be the difference in Michigan.

582
00:33:44,960 --> 00:33:46,440
Speaker 5: I don't I don't want to get ahead of ourselves

583
00:33:46,480 --> 00:33:48,160
Speaker 5: because we don't know. Maybe it doesn't matter, maybe Trump

584
00:33:48,240 --> 00:33:52,520
Speaker 5: sweeps the the battleground states. But this was my concern,

585
00:33:52,840 --> 00:33:54,680
Speaker 5: and I know it wasn't It wasn't fun to be

586
00:33:54,720 --> 00:33:57,520
Speaker 5: the guy sent around saying, Hey, this vanity campaign. I

587
00:33:57,560 --> 00:34:00,640
Speaker 5: know it's all fun for everybody, but may actually some problems.

588
00:34:00,640 --> 00:34:01,640
Speaker 5: This could be a problem.

589
00:34:02,000 --> 00:34:05,240
Speaker 1: I also think it's significant Buck because they tried to

590
00:34:05,280 --> 00:34:08,479
Speaker 1: tell us that RFK Junior's endorsement didn't matter at all.

591
00:34:09,239 --> 00:34:12,279
Speaker 1: We'll get what they do, not what they say. If

592
00:34:12,320 --> 00:34:15,160
Speaker 1: it didn't matter at all, why is the Secretary of

593
00:34:15,239 --> 00:34:19,560
Speaker 1: State of Michigan, a Democrat, fighting so hard to keep

594
00:34:19,719 --> 00:34:23,120
Speaker 1: RFK Junior's name on the ballot. Remember he said, hey,

595
00:34:23,200 --> 00:34:25,799
Speaker 1: I want to pull my name off the ballot. I've

596
00:34:25,840 --> 00:34:28,640
Speaker 1: withdrawn from the race. I don't want anyone to vote

597
00:34:28,640 --> 00:34:31,520
Speaker 1: for me. And the Secretary of State of Michigan has

598
00:34:31,560 --> 00:34:34,400
Speaker 1: gone all the way to the Michigan Supreme court to

599
00:34:34,680 --> 00:34:38,279
Speaker 1: ensure that his name stays on the ballot. What are

600
00:34:38,320 --> 00:34:41,840
Speaker 1: they doing, not what they're saying. What they're doing suggests

601
00:34:41,880 --> 00:34:44,959
Speaker 1: that they know rfk's endorsement of Trump is a big

602
00:34:45,000 --> 00:34:49,040
Speaker 1: deal and has a substantial impact, and so they're hoping

603
00:34:49,440 --> 00:34:52,040
Speaker 1: that they can keep him on the ballot because they

604
00:34:52,160 --> 00:34:55,879
Speaker 1: want people to vote for him instead of Trump, which

605
00:34:55,880 --> 00:34:59,120
Speaker 1: the data reflects will happen in Michigan. And to your point,

606
00:34:59,719 --> 00:35:01,840
Speaker 1: if you come down to five or ten thousand votes

607
00:35:01,880 --> 00:35:03,880
Speaker 1: and correct me if I'm wrong, but I think Trump

608
00:35:03,920 --> 00:35:08,279
Speaker 1: won Michigan in twenty sixteen by eleven thousand votes. I

609
00:35:08,280 --> 00:35:12,080
Speaker 1: think that was the final margin. Crew in New York

610
00:35:12,440 --> 00:35:14,120
Speaker 1: correct me on that if I'm wrong. I think in

611
00:35:14,120 --> 00:35:17,560
Speaker 1: twenty sixteen, I think Trump won Michigan by eleven thousand votes.

612
00:35:17,920 --> 00:35:19,600
Speaker 1: I don't think it's crazy at all to think that

613
00:35:20,160 --> 00:35:24,120
Speaker 1: eleven thousand people in Michigan would vote for RFK Junior

614
00:35:24,160 --> 00:35:25,880
Speaker 1: that might otherwise vote for Trump.

615
00:35:26,120 --> 00:35:27,640
Speaker 3: We got a bunch of people who won a way

616
00:35:27,680 --> 00:35:28,520
Speaker 3: in with the question.

617
00:35:28,600 --> 00:35:33,680
Speaker 1: We asked women about Kamala Harris being the side chick

618
00:35:33,880 --> 00:35:38,680
Speaker 1: the mistress of Willie Brown when she was young, and

619
00:35:38,719 --> 00:35:42,200
Speaker 1: whether that can cancel out my theory some of the

620
00:35:42,760 --> 00:35:48,400
Speaker 1: antipathy towards Donald Trump and his character from female voters.

621
00:35:48,800 --> 00:35:51,200
Speaker 1: Buck says, no, I think the answer may be yes,

622
00:35:51,320 --> 00:35:55,480
Speaker 1: Cindy and Champagne Illinois. Big win for your Ali and

623
00:35:55,560 --> 00:35:58,960
Speaker 1: I over the Kansas Jayhawks. I don't know if you

624
00:35:59,000 --> 00:36:02,080
Speaker 1: paid attention to that. Many people in Illinois did, Lily.

625
00:36:01,800 --> 00:36:05,600
Speaker 4: You can't. You can't miss that. But you're right, I

626
00:36:05,640 --> 00:36:08,439
Speaker 4: did not know that about her. So what you did

627
00:36:08,520 --> 00:36:12,719
Speaker 4: was bring to the forefront some information that changes. I mean,

628
00:36:13,800 --> 00:36:17,480
Speaker 4: I'm not thrilled about her anyway, but she's now on

629
00:36:17,560 --> 00:36:21,040
Speaker 4: the same level as as Trump, and I.

630
00:36:20,960 --> 00:36:23,920
Speaker 5: Don't like Trump. Were you voting for Trump? It's important.

631
00:36:23,960 --> 00:36:26,440
Speaker 5: Were you voting for Trump though anyway?

632
00:36:27,719 --> 00:36:30,680
Speaker 4: Yes, I was as a matter of fact, and I

633
00:36:30,680 --> 00:36:32,200
Speaker 4: don't I don't know if I qualify this as a

634
00:36:32,239 --> 00:36:34,920
Speaker 4: suburban women. You guys have not defined that for me.

635
00:36:35,200 --> 00:36:36,239
Speaker 3: Well, that's a good point.

636
00:36:36,960 --> 00:36:42,439
Speaker 4: I'm glad you brought out disinformation and need to bring

637
00:36:42,480 --> 00:36:45,319
Speaker 4: out more of her dirt because you think so.

638
00:36:45,400 --> 00:36:47,760
Speaker 1: Here's here's my question for you, Cindy. To your point,

639
00:36:47,960 --> 00:36:50,440
Speaker 1: you were voting for Trump anyway, but you didn't know

640
00:36:50,600 --> 00:36:54,279
Speaker 1: about this. If you talk to other women, do you

641
00:36:54,360 --> 00:36:57,040
Speaker 1: think other women know about this, and do you agree

642
00:36:57,040 --> 00:36:58,759
Speaker 1: with me that some of them who may not like

643
00:36:58,840 --> 00:37:03,520
Speaker 1: Trump's morals or his character issues, might be aligned with

644
00:37:03,640 --> 00:37:06,879
Speaker 1: him on the issues itself. My theory is if they

645
00:37:06,920 --> 00:37:09,160
Speaker 1: know Kamala is not a saint too and she has

646
00:37:09,200 --> 00:37:11,120
Speaker 1: her own past, it helps.

647
00:37:10,800 --> 00:37:13,800
Speaker 3: Trump objection leading the witness go ahead.

648
00:37:14,080 --> 00:37:16,520
Speaker 4: Yeah, I agree absolutely.

649
00:37:17,960 --> 00:37:18,760
Speaker 3: I love you, Cindy.

650
00:37:18,880 --> 00:37:21,360
Speaker 1: Congratulations to the on their big win. Thank you for

651
00:37:21,400 --> 00:37:25,040
Speaker 1: calling in just great astute analysis. I have to say, Buck,

652
00:37:25,719 --> 00:37:29,120
Speaker 1: we have Carol in Ohio. What's going on?

653
00:37:29,239 --> 00:37:29,520
Speaker 3: Carol?

654
00:37:31,400 --> 00:37:34,359
Speaker 10: Well, I'd say that it doesn't matter. I think Bill

655
00:37:34,440 --> 00:37:37,919
Speaker 10: Clinton proved that there are people just loved him to death,

656
00:37:38,120 --> 00:37:41,640
Speaker 10: no matter what happened with Monica Lewinsky. And I don't

657
00:37:41,680 --> 00:37:44,839
Speaker 10: think they're going to care in a presidential election if

658
00:37:45,880 --> 00:37:48,600
Speaker 10: Kamala Harris slept with somebody thirty years ago, they're not

659
00:37:48,600 --> 00:37:51,600
Speaker 10: going to care. I think what's more important is that

660
00:37:52,400 --> 00:37:55,359
Speaker 10: this whole convicted felon thing, and I think he needs

661
00:37:55,360 --> 00:37:58,040
Speaker 10: to counteract that, and that would be really easy, and

662
00:37:58,080 --> 00:38:00,200
Speaker 10: I think he needs to point that out tonight, say

663
00:38:00,200 --> 00:38:02,440
Speaker 10: look how many times she's going to say it, how

664
00:38:02,440 --> 00:38:05,120
Speaker 10: many times she says it in her stump speeches, and

665
00:38:05,239 --> 00:38:08,120
Speaker 10: let's talk about what's really happening. They've spent millions of

666
00:38:08,120 --> 00:38:12,200
Speaker 10: your hard earned tax dollars on bugus charges to come

667
00:38:12,239 --> 00:38:15,319
Speaker 10: after me, to remove me, so that they can get

668
00:38:15,360 --> 00:38:17,719
Speaker 10: to you and control you. I think he has to

669
00:38:17,760 --> 00:38:20,279
Speaker 10: turn that around because I think more people throw that out.

670
00:38:20,320 --> 00:38:22,480
Speaker 10: I hear it all the time. Well, he's a convicted

671
00:38:22,520 --> 00:38:25,680
Speaker 10: selling I don't hear anything about his marriages. So I

672
00:38:25,680 --> 00:38:27,640
Speaker 10: think he needs to go after that. But I don't

673
00:38:27,680 --> 00:38:29,719
Speaker 10: think people really care. They care if the woman down

674
00:38:29,719 --> 00:38:32,120
Speaker 10: the street is chieving, but they don't care, you know,

675
00:38:32,280 --> 00:38:34,680
Speaker 10: or the guy down the street is chieving with some woman,

676
00:38:34,840 --> 00:38:37,680
Speaker 10: they don't care about it. In the presidential election, I.

677
00:38:37,600 --> 00:38:41,960
Speaker 5: Think Carolin Ohio is astute and on point, mister Clay,

678
00:38:42,080 --> 00:38:47,000
Speaker 5: So I disagree completely with Carol in Ohio Rebecca in Cleveland.

679
00:38:47,200 --> 00:38:49,600
Speaker 1: Let's see if Rebecca has good sins or not. Rebecca,

680
00:38:49,640 --> 00:38:50,160
Speaker 1: what do you think?

681
00:38:51,440 --> 00:38:51,560
Speaker 6: Hi?

682
00:38:51,719 --> 00:38:55,200
Speaker 11: Yes, I just wanted to give a married woman's perspective

683
00:38:55,280 --> 00:38:59,239
Speaker 11: on this. I think it goes actually beyond a moral issue,

684
00:38:59,440 --> 00:39:02,799
Speaker 11: and it goes to a trust in integrity issue. If

685
00:39:02,880 --> 00:39:05,640
Speaker 11: I can't trust that Kamala Harris is not going to

686
00:39:05,680 --> 00:39:08,640
Speaker 11: sleep with my husband. How can I trust that she's

687
00:39:08,680 --> 00:39:11,799
Speaker 11: going to have my and my family's best interests in

688
00:39:11,880 --> 00:39:13,520
Speaker 11: mind as she's running the country.

689
00:39:14,560 --> 00:39:16,080
Speaker 3: But Rebecca, were you voting for Trump?

690
00:39:17,719 --> 00:39:18,040
Speaker 11: Yes?

691
00:39:18,719 --> 00:39:23,280
Speaker 1: Okay, so But but Rebecca, do you think this really?

692
00:39:23,320 --> 00:39:26,520
Speaker 1: The question is are there women out there? And my

693
00:39:26,640 --> 00:39:29,160
Speaker 1: answer is yes, I think you question whether that's true

694
00:39:29,239 --> 00:39:33,200
Speaker 1: or not. Buck that are almost entirely voting based on

695
00:39:33,239 --> 00:39:37,440
Speaker 1: an emotional opinion of Trump, rooted in he's a cheater.

696
00:39:37,920 --> 00:39:41,239
Speaker 1: I don't like him, He's dishonest. And they have bought

697
00:39:41,320 --> 00:39:45,560
Speaker 1: into the idea that Kamala Harris is the opposite of Trump,

698
00:39:45,880 --> 00:39:50,680
Speaker 1: when in reality distilled Joe Biden's term they're both just

699
00:39:50,719 --> 00:39:53,319
Speaker 1: a couple of alley cats, and that they got a

700
00:39:53,360 --> 00:39:54,479
Speaker 1: truth I've never met.

701
00:39:54,520 --> 00:39:58,480
Speaker 5: I've never met this, this amalgamation or this this construct

702
00:39:58,480 --> 00:40:01,319
Speaker 5: of the suburban woman who was open to voting for

703
00:40:01,440 --> 00:40:05,600
Speaker 5: Kamala and open to voting for Trump and cares about

704
00:40:05,719 --> 00:40:08,799
Speaker 5: morals but doesn't care about the policies, and now that

705
00:40:08,880 --> 00:40:12,080
Speaker 5: she knows that Kamala slept with some guy thirty years ago,

706
00:40:12,440 --> 00:40:13,960
Speaker 5: is like, ah, now.

707
00:40:13,800 --> 00:40:15,320
Speaker 3: Are you familiar with women?

708
00:40:17,600 --> 00:40:22,520
Speaker 5: Forever my my accountant, my my dentist, I mean everyone

709
00:40:22,600 --> 00:40:24,920
Speaker 5: I know is right wing. You've got to understand something, buddy,

710
00:40:25,000 --> 00:40:26,680
Speaker 5: like I don't. I don't deal with a lot of

711
00:40:26,719 --> 00:40:29,280
Speaker 5: the uh of the communists in a day to day sense,

712
00:40:29,320 --> 00:40:31,680
Speaker 5: So I might I might be missing something, but I've

713
00:40:31,719 --> 00:40:32,719
Speaker 5: never Yeah.

714
00:40:32,760 --> 00:40:35,279
Speaker 3: Clay, every woman who we've had called in so.

715
00:40:35,320 --> 00:40:37,000
Speaker 5: Far, and we love all of you. Thank you so

716
00:40:37,080 --> 00:40:39,880
Speaker 5: much for listening to the show. They're Trump voters. So

717
00:40:39,920 --> 00:40:41,480
Speaker 5: there's another data point.

718
00:40:42,040 --> 00:40:44,319
Speaker 3: This is what That's what I'm saying. Of course they're Trump.

719
00:40:44,520 --> 00:40:45,920
Speaker 3: Why are they trumpleters or trumpeters?

720
00:40:45,960 --> 00:40:50,560
Speaker 5: Because they care about facts and family and policy, and

721
00:40:50,560 --> 00:40:52,759
Speaker 5: and you know, they have a sense of of their

722
00:40:52,800 --> 00:40:56,000
Speaker 5: own morality and integrity, and they they operate in the

723
00:40:56,000 --> 00:40:58,120
Speaker 5: world of the true, not the operator in the world

724
00:40:58,200 --> 00:41:02,360
Speaker 5: of the make believe this construct. What you're talking about

725
00:41:02,520 --> 00:41:05,360
Speaker 5: is someone who is open to voting for either and

726
00:41:05,400 --> 00:41:07,959
Speaker 5: then cares that Kama slept with somebody thirty years ago.

727
00:41:08,239 --> 00:41:10,360
Speaker 5: That's what we're not getting. I haven't got any of

728
00:41:10,400 --> 00:41:12,600
Speaker 5: those calls yet. And I'm not saying you're wrong, it

729
00:41:12,640 --> 00:41:18,400
Speaker 5: don't exist, but I think you're wrong. You like that's Pedrizio, baby.

730
00:41:18,480 --> 00:41:21,839
Speaker 1: Yeah, I'm not gonna say you're wrong, but I think

731
00:41:21,880 --> 00:41:26,239
Speaker 1: you're clearly wrong. I will say I would acknowledge that

732
00:41:26,280 --> 00:41:29,720
Speaker 1: the number of women out there who are undecided voters

733
00:41:30,400 --> 00:41:34,040
Speaker 1: that didn't know that kamalas slept with Willie Brown and

734
00:41:34,160 --> 00:41:37,479
Speaker 1: are listening to this show is probably small, but.

735
00:41:37,400 --> 00:41:39,360
Speaker 8: It was clear was thirty years ago.

736
00:41:40,000 --> 00:41:40,720
Speaker 3: I don't understand.

737
00:41:40,719 --> 00:41:43,120
Speaker 5: I mean like this, and Trump is not exactly like

738
00:41:43,400 --> 00:41:45,760
Speaker 5: I just I don't understand, like who cares?

739
00:41:45,920 --> 00:41:46,920
Speaker 3: I don't understand.

740
00:41:47,280 --> 00:41:50,640
Speaker 1: I don't think women. I don't think women ever forgive

741
00:41:50,800 --> 00:41:55,120
Speaker 1: side chicks. I don't think married women ever forgive mistresses.

742
00:41:55,520 --> 00:41:58,040
Speaker 1: I think they hate them with a passion. They see

743
00:41:58,040 --> 00:42:01,839
Speaker 1: them as home wreckers. And Kamala in this context, Look

744
00:42:01,880 --> 00:42:05,360
Speaker 1: if Kamala had gone on and married Willie Brown and

745
00:42:05,400 --> 00:42:08,080
Speaker 1: they had kids, I think some women would forgive her.

746
00:42:09,560 --> 00:42:12,839
Speaker 3: I am good at this. I gotten in her head,

747
00:42:13,160 --> 00:42:15,719
Speaker 3: and jug I should.

748
00:42:15,440 --> 00:42:18,480
Speaker 1: Have been a psychologist. I'm telling you, I'm in their

749
00:42:18,520 --> 00:42:21,000
Speaker 1: head right now. And there are women that are listening

750
00:42:21,000 --> 00:42:23,560
Speaker 1: to me right now that are like, how are you

751
00:42:24,120 --> 00:42:25,120
Speaker 1: so in my head?

752
00:42:25,960 --> 00:42:27,279
Speaker 3: I tell you. Grow up in New York City.

753
00:42:27,360 --> 00:42:30,160
Speaker 5: I know plenty of women who don't like the guy

754
00:42:30,239 --> 00:42:33,680
Speaker 5: that divorces the first wife for like the younger sexier,

755
00:42:34,040 --> 00:42:36,520
Speaker 5: you know, model so to speak, the next time around.

756
00:42:36,560 --> 00:42:38,879
Speaker 5: But you know what, we're a big country with big

757
00:42:38,880 --> 00:42:40,879
Speaker 5: boy ideas, and like we got other things to think

758
00:42:40,880 --> 00:42:41,200
Speaker 5: about it.

759
00:42:41,320 --> 00:42:45,919
Speaker 1: I will say, in Trump's defense, he married and had

760
00:42:46,040 --> 00:42:49,040
Speaker 1: kids with those women. I think the porn star is

761
00:42:49,120 --> 00:42:51,600
Speaker 1: the bigger issue for him, which is why it's lingered

762
00:42:51,600 --> 00:42:53,680
Speaker 1: and why they focused on it. But my point is,

763
00:42:54,000 --> 00:42:56,560
Speaker 1: if they can tell you that Trump's sleeping with a

764
00:42:56,600 --> 00:43:02,680
Speaker 1: porn star allegedly by the way, allegedly, yeah, allegedly in

765
00:43:02,719 --> 00:43:05,600
Speaker 1: two thousand and six or whatever year it was, and

766
00:43:05,640 --> 00:43:08,560
Speaker 1: they can make it a story for nine years, it

767
00:43:08,719 --> 00:43:13,120
Speaker 1: seems fair to make Kamala Harris sleeping with Willie Brown

768
00:43:13,200 --> 00:43:15,480
Speaker 1: while he was married. She was twenty nine, he was

769
00:43:15,560 --> 00:43:19,440
Speaker 1: sixty a story for four months. That seems fair to me. Kathy,

770
00:43:19,520 --> 00:43:22,480
Speaker 1: and since but we got all Ohio is riled up

771
00:43:22,480 --> 00:43:26,320
Speaker 1: about this story. If nobody else is Kathy? Sorry, CALLI

772
00:43:26,880 --> 00:43:28,960
Speaker 1: in Cincinnati, CALLI what do you think?

773
00:43:30,560 --> 00:43:33,560
Speaker 8: Hih me there? Sadly, I have to say, I don't

774
00:43:33,640 --> 00:43:39,719
Speaker 8: think suburban housewives flash mom are gonna care. They are

775
00:43:39,800 --> 00:43:43,200
Speaker 8: still concerned about Trump's mean tweets and they are still

776
00:43:43,200 --> 00:43:46,680
Speaker 8: focused on that. And when I'm talking to these women.

777
00:43:46,760 --> 00:43:50,320
Speaker 8: I tried to drive home. I tried to talk about policy,

778
00:43:50,360 --> 00:43:52,919
Speaker 8: and even in Cincinnati, Ohio, they don't know what's going

779
00:43:52,960 --> 00:43:56,400
Speaker 8: on in Springboro, Ohio, just north of Cincinnati with the

780
00:43:56,400 --> 00:43:58,920
Speaker 8: Haitian migrants and whatnot, so it's not on the news.

781
00:43:59,480 --> 00:44:02,160
Speaker 8: It's not fun of them. So they still just think

782
00:44:02,239 --> 00:44:02,919
Speaker 8: Trump is mean.

783
00:44:03,960 --> 00:44:05,560
Speaker 1: Thank you for the call, Cali. You know who just

784
00:44:05,560 --> 00:44:10,800
Speaker 1: wait in. Laura Travis via text, Buck is so wrong.

785
00:44:11,040 --> 00:44:14,120
Speaker 1: Laura never agrees with me, with me on anything, she says.

786
00:44:14,160 --> 00:44:17,080
Speaker 1: I'm gonna read my wife's text. I know at least

787
00:44:17,160 --> 00:44:20,400
Speaker 1: three women who have said out loud to me they

788
00:44:20,440 --> 00:44:23,760
Speaker 1: would never vote for Trump because they just don't trust

789
00:44:23,800 --> 00:44:26,640
Speaker 1: him and think he's kind of sleazy. If they know

790
00:44:26,840 --> 00:44:30,440
Speaker 1: Kamala is also sleazy, it forces them to make a

791
00:44:30,520 --> 00:44:35,480
Speaker 1: decision on an actual issue rather than just voting emotionally.

792
00:44:35,760 --> 00:44:38,520
Speaker 5: She may say it better than me. You disagreement is

793
00:44:38,840 --> 00:44:41,440
Speaker 5: so often a paragon of virtue. Her movie choices are

794
00:44:41,480 --> 00:44:44,240
Speaker 5: world class, and whenever she tells you that you are wrong, Clay,

795
00:44:44,360 --> 00:44:45,360
Speaker 5: she is spot on.

796
00:44:45,360 --> 00:44:47,960
Speaker 1: Which is basically all the time. She never agrees with

797
00:44:48,000 --> 00:44:49,600
Speaker 1: me on anything. So that's why I had to read

798
00:44:49,600 --> 00:44:52,440
Speaker 1: that text message. She's out driving right now. She keeps

799
00:44:52,440 --> 00:44:54,680
Speaker 1: Claymation in the cage, you know what I mean. She

800
00:44:54,680 --> 00:44:57,400
Speaker 1: doesn't let him get too crazy out there. But I'll

801
00:44:57,680 --> 00:45:00,800
Speaker 1: I just man, if it were recent stuff, I'd be

802
00:45:00,840 --> 00:45:04,600
Speaker 1: a little bit more willing to believe the line of

803
00:45:04,719 --> 00:45:06,799
Speaker 1: argument that is gonna matter in this election. I feel

804
00:45:06,840 --> 00:45:09,480
Speaker 1: like I feel like this is on the list of

805
00:45:09,560 --> 00:45:12,280
Speaker 1: things that people are thinking about when they're casting their ballots.

806
00:45:12,320 --> 00:45:14,480
Speaker 1: I think the Kamala Willie Brown thing doesn't I don't

807
00:45:14,480 --> 00:45:17,680
Speaker 1: think it makes the top twenty five. It might not

808
00:45:17,719 --> 00:45:21,120
Speaker 1: make the top fift for most rational people. I think

809
00:45:21,120 --> 00:45:25,000
Speaker 1: that's true. But much of the opposition to Trump is

810
00:45:25,120 --> 00:45:28,640
Speaker 1: rooted in emotion, not logic, And so if you can

811
00:45:29,239 --> 00:45:34,120
Speaker 1: point out something that is emotionally flawed with another emotional flaw,

812
00:45:34,680 --> 00:45:37,960
Speaker 1: it sometimes forces people to go back and reconsider it.

813
00:45:38,000 --> 00:45:42,440
Speaker 1: But by the way, we're only talking in theory about

814
00:45:42,440 --> 00:45:45,560
Speaker 1: like six hundred thousand people in three hundred and thirty

815
00:45:45,640 --> 00:45:49,799
Speaker 1: million that are still out there right now undecided about

816
00:45:49,840 --> 00:45:53,319
Speaker 1: how they're going to vote. That's kind of crazy in

817
00:45:53,320 --> 00:45:55,560
Speaker 1: and of itself, right, I Mean, we're talking about point

818
00:45:55,719 --> 00:45:59,280
Speaker 1: five percent of the population at most.

819
00:46:00,000 --> 00:46:01,680
Speaker 5: It takes some more of your calls here, especially the

820
00:46:01,680 --> 00:46:03,560
Speaker 5: ones where you tell me that I'm writing Clay is wrong,

821
00:46:03,600 --> 00:46:04,760
Speaker 5: because those are the best calls.

822
00:46:04,800 --> 00:46:07,040
Speaker 3: We'll get to that here in just a minute.

823
00:46:07,120 --> 00:46:08,319
Speaker 5: But you know, I want to talk to you about

824
00:46:08,320 --> 00:46:13,200
Speaker 5: protecting yourself and your family because there are some really

825
00:46:13,280 --> 00:46:17,360
Speaker 5: important products out there from Saber that are a game changer. Okay,

826
00:46:17,440 --> 00:46:22,160
Speaker 5: this is important. Saber is spelled Sabre. Note that for

827
00:46:22,520 --> 00:46:26,279
Speaker 5: all of our Saber discussions, family owned business. They make

828
00:46:26,440 --> 00:46:29,920
Speaker 5: the best in class, less lethal products like the pepper

829
00:46:29,960 --> 00:46:32,839
Speaker 5: spray launcher for example. They've also got a whole suite

830
00:46:32,880 --> 00:46:35,680
Speaker 5: of home security tools. Let's start through with the Saber

831
00:46:36,200 --> 00:46:40,760
Speaker 5: number one, made in the USA, Pepper Spray brand. Okay,

832
00:46:40,840 --> 00:46:42,880
Speaker 5: Saber is the best. There are other companies out there

833
00:46:42,920 --> 00:46:45,720
Speaker 5: that trying to make imitations or versions of this. Saber

834
00:46:46,120 --> 00:46:48,799
Speaker 5: blows them out of the water, leaves them by the

835
00:46:48,800 --> 00:46:51,240
Speaker 5: side of the road coughing in the pepper spray cloud,

836
00:46:51,280 --> 00:46:54,880
Speaker 5: so to speak. Saber is the best. The pepper projectile

837
00:46:54,960 --> 00:46:59,040
Speaker 5: launcher is less lethal, fast loading, no recoil, and gives

838
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Speaker 5: powerful stopping up to one hundred and seventy five feet.

839
00:47:02,160 --> 00:47:04,880
Speaker 5: The real advantage even if you miss creates a six

840
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Speaker 5: foot pepper cloud, causing intense sensory irritation. Overwhelm anyone who

841
00:47:09,880 --> 00:47:13,760
Speaker 5: wishes you harm, Protect yourself and your and your family.

842
00:47:13,920 --> 00:47:16,080
Speaker 5: Go check out what Saber has to offer a whole

843
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844
00:47:17,880 --> 00:47:19,600
Speaker 5: at home. Clay's got a bunch of them at his home.

845
00:47:19,840 --> 00:47:26,520
Speaker 5: Go to Sabre Radio. That's Saber Radio, Saber Sabre E,

846
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Speaker 5: saberradio dot com. Or if you want us, call the

847
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Speaker 5: number here. It is eight four four eight two four

848
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849
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Speaker 3: Safe news you can count on, and some laughs too. Clay,

850
00:47:42,440 --> 00:47:44,080
Speaker 3: Travis and Buck Sexton.

851
00:47:44,200 --> 00:47:47,480
Speaker 7: Find them on the free iHeartRadio app or wherever you

852
00:47:47,600 --> 00:47:48,760
Speaker 7: get your podcasts.

853
00:47:49,440 --> 00:47:53,359
Speaker 1: Well come back in Clay Travis buck Sexton show. Hope

854
00:47:53,400 --> 00:47:56,200
Speaker 1: all of you are having a fantastic Tuesday. I hope

855
00:47:56,719 --> 00:47:59,880
Speaker 1: that you are layering up, if necessary, on some caffeine,

856
00:48:00,080 --> 00:48:02,480
Speaker 1: be able to stay up. Tonight, nine pm Eastern on

857
00:48:02,600 --> 00:48:06,080
Speaker 1: the East Coast. Ten thirty will be the ending time

858
00:48:06,120 --> 00:48:08,000
Speaker 1: in theory, probably a little bit past that. We are

859
00:48:08,040 --> 00:48:11,799
Speaker 1: joined now by Congressman Warren Davidson of Ohio. I don't

860
00:48:11,840 --> 00:48:14,000
Speaker 1: know if you have seen the clip of Eric Swalwell

861
00:48:14,120 --> 00:48:18,200
Speaker 1: going crazy talking about all the Trump kitten and duck memes.

862
00:48:18,800 --> 00:48:21,000
Speaker 1: They are hysterical. For those of you out there that

863
00:48:21,040 --> 00:48:24,719
Speaker 1: are not active on social media, many people have decided

864
00:48:24,760 --> 00:48:30,680
Speaker 1: to have fun with the kitten and duck allegations coming

865
00:48:30,680 --> 00:48:35,480
Speaker 1: out of Springfield, Ohio, with outrageous, outlandish, and frankly hysterical

866
00:48:35,520 --> 00:48:40,400
Speaker 1: memes of Donald Trump saving kittens and ducks. Eric Swalwell

867
00:48:40,480 --> 00:48:43,280
Speaker 1: is very angry. But what in the world is actually

868
00:48:43,360 --> 00:48:48,239
Speaker 1: going on? Congressman, you represent this area just beside it

869
00:48:49,080 --> 00:48:53,359
Speaker 1: where all of this chaos has been unfurling associated with

870
00:48:53,760 --> 00:48:59,640
Speaker 1: immigrants overloading. Believe it's Springfield, Ohio. What is actually going on?

871
00:49:00,080 --> 00:49:02,839
Speaker 1: What are you seeing in the community. What can you

872
00:49:02,920 --> 00:49:07,080
Speaker 1: tell us about the impact of in many ways unrestrained

873
00:49:07,160 --> 00:49:11,000
Speaker 1: immigration in your congressional district and nearby areas.

874
00:49:11,680 --> 00:49:13,520
Speaker 12: Yeah, thanks for having me on and really and honor

875
00:49:13,600 --> 00:49:15,520
Speaker 12: to join you all. And look, I too have enjoyed

876
00:49:15,560 --> 00:49:18,880
Speaker 12: some of the humor that's been out there, and in particular,

877
00:49:19,120 --> 00:49:23,680
Speaker 12: as JD Vance is now has childless cat ladies are

878
00:49:23,920 --> 00:49:27,520
Speaker 12: part of the JD Vance fan club again, so we're

879
00:49:27,880 --> 00:49:30,800
Speaker 12: on track with the team that's going to save the kittens.

880
00:49:31,920 --> 00:49:32,919
Speaker 6: But the reality is.

881
00:49:32,840 --> 00:49:35,400
Speaker 12: On the ground. You know, Springfield's a great community of

882
00:49:35,480 --> 00:49:40,400
Speaker 12: about sixty thousand people, long time manufacturing community, a lot

883
00:49:40,440 --> 00:49:43,400
Speaker 12: like what you know Ohio has experienced with, you know,

884
00:49:43,480 --> 00:49:45,520
Speaker 12: quote the rust Belt for a time, you had great

885
00:49:45,560 --> 00:49:49,360
Speaker 12: factory jobs for a long time, and as the economy changed,

886
00:49:49,440 --> 00:49:51,440
Speaker 12: a lot of things got hollowed out and communities had

887
00:49:51,480 --> 00:49:55,280
Speaker 12: to change. Springfield has done a great job of attracting investment.

888
00:49:55,520 --> 00:49:58,640
Speaker 12: They're growing nicely and for a long time they've had.

889
00:49:59,400 --> 00:50:01,640
Speaker 12: All of Western or Ohio has had the challenge. We

890
00:50:01,719 --> 00:50:04,719
Speaker 12: could grow faster if we could just get a strong workforce.

891
00:50:05,400 --> 00:50:08,400
Speaker 12: And you know, as you look at the immigrant population

892
00:50:08,600 --> 00:50:12,120
Speaker 12: that wants to work, they're attracted to places that have jobs,

893
00:50:12,200 --> 00:50:15,960
Speaker 12: and you know Springfield has that. Most of western Ohio

894
00:50:16,040 --> 00:50:19,400
Speaker 12: has that, and so you could see why, you know,

895
00:50:19,400 --> 00:50:21,120
Speaker 12: people that are coming here, if they want to work,

896
00:50:21,160 --> 00:50:24,120
Speaker 12: they would come someplace like Springfield, Ohio. The challenge has

897
00:50:24,160 --> 00:50:27,360
Speaker 12: been the bite administration has had just an open border

898
00:50:27,440 --> 00:50:30,520
Speaker 12: process that's flooded our country with lots of people who

899
00:50:30,560 --> 00:50:34,120
Speaker 12: are illegals. They've abused the refugee process. And the challenge

900
00:50:34,160 --> 00:50:36,880
Speaker 12: in Springfield isn't it just that the initial refugee comes.

901
00:50:37,120 --> 00:50:40,759
Speaker 12: It's that each person can bring through chain migration, like

902
00:50:40,840 --> 00:50:43,880
Speaker 12: six family members, and so that has a, you know,

903
00:50:44,160 --> 00:50:47,680
Speaker 12: be fruitful and multiply kind of effect at a rapid pace.

904
00:50:47,719 --> 00:50:49,920
Speaker 12: I mean, if a family is fruitful and multiplies, it

905
00:50:49,920 --> 00:50:53,200
Speaker 12: takes a generation to raise the kids. When you bring

906
00:50:53,239 --> 00:50:56,400
Speaker 12: in somebody into the country, even if they have the

907
00:50:56,400 --> 00:51:00,000
Speaker 12: most credible claim to refugee status that you could imagine.

908
00:51:00,040 --> 00:51:02,239
Speaker 12: And if you can bring six times as many more

909
00:51:02,239 --> 00:51:04,719
Speaker 12: people in right away, it's easy to see how one

910
00:51:04,719 --> 00:51:06,960
Speaker 12: community gets overwhelmed. And that's what's going on on the

911
00:51:06,960 --> 00:51:10,720
Speaker 12: ground in Springfield. If you brought twenty thousand people from California,

912
00:51:10,920 --> 00:51:13,759
Speaker 12: it would overwhelm a community of sixty thousand people. And

913
00:51:13,800 --> 00:51:16,520
Speaker 12: the culture in California is a little different, safe to say,

914
00:51:16,520 --> 00:51:18,880
Speaker 12: the culture in Haiti is a whole lot different than

915
00:51:18,880 --> 00:51:20,000
Speaker 12: the culture in spring Ohio.

916
00:51:21,480 --> 00:51:25,760
Speaker 5: So when you see these stories, congressmen and people are

917
00:51:25,920 --> 00:51:30,279
Speaker 5: concerned about this, it sounds like under there is an

918
00:51:30,400 --> 00:51:34,320
Speaker 5: understandable friction that could happen with such a massive change

919
00:51:34,440 --> 00:51:37,160
Speaker 5: in the area, or rather that this is what people

920
00:51:37,200 --> 00:51:43,240
Speaker 5: could could expect. Are you seeing that there's any help

921
00:51:43,360 --> 00:51:45,960
Speaker 5: coming from either the state or the federal government to

922
00:51:46,440 --> 00:51:49,040
Speaker 5: assist with some of this. I mean, we're talking about

923
00:51:49,040 --> 00:51:53,239
Speaker 5: things like overcrowding and hospitals and schools and things like that.

924
00:51:53,400 --> 00:51:56,000
Speaker 3: Sounds like the community is just left to bear the burden.

925
00:51:57,200 --> 00:51:59,720
Speaker 12: Yeah, that's the real problem. Look, the federal government clearly

926
00:51:59,760 --> 00:52:03,560
Speaker 12: is being helpful. They're causing the problem to be worse,

927
00:52:03,600 --> 00:52:08,799
Speaker 12: frankly and very unsympathetic. They're not responsive even when local

928
00:52:08,840 --> 00:52:12,360
Speaker 12: law enforcement wants to raise issues for the people that

929
00:52:12,480 --> 00:52:15,759
Speaker 12: are illegal. Even in those cases, the federal government is

930
00:52:15,800 --> 00:52:18,000
Speaker 12: not responsive. But the challenge of in the state hasn't

931
00:52:18,040 --> 00:52:21,120
Speaker 12: been incredibly helpful either. There are a lot of resources. Look,

932
00:52:21,200 --> 00:52:24,239
Speaker 12: some of this is driven by federal policy where every

933
00:52:24,280 --> 00:52:27,200
Speaker 12: refugee is getting six hundred to sixteen hundred dollars in

934
00:52:27,280 --> 00:52:30,879
Speaker 12: cash assistance for the Refugee Cash Assistance Program, and they're

935
00:52:30,920 --> 00:52:35,359
Speaker 12: automatically eligible for every means tested program that America has.

936
00:52:35,440 --> 00:52:39,839
Speaker 12: So you've got individual refugees who are newly arrived, let's say,

937
00:52:39,880 --> 00:52:44,840
Speaker 12: straight from Haiti, and they're getting more federal benefit than

938
00:52:44,920 --> 00:52:47,160
Speaker 12: you've got people that worked a lifetime and put money

939
00:52:47,160 --> 00:52:50,879
Speaker 12: into Social Security and Medicare, so they're eligible for every

940
00:52:50,960 --> 00:52:53,359
Speaker 12: kind of program that you could imagine. And there are

941
00:52:53,360 --> 00:52:55,239
Speaker 12: flaws at the federal level, but there are things at

942
00:52:55,239 --> 00:52:58,560
Speaker 12: the state level that schools are being told they need

943
00:52:58,560 --> 00:53:02,560
Speaker 12: to admit knows that appear to be twenty years old

944
00:53:02,960 --> 00:53:06,680
Speaker 12: as freshmen in high school. And you know that's causing problems.

945
00:53:07,160 --> 00:53:11,200
Speaker 12: You've got massive influx of people that can't speak English

946
00:53:11,520 --> 00:53:14,480
Speaker 12: and so no resources for translators. It's safe to say

947
00:53:14,480 --> 00:53:17,800
Speaker 12: we don't have a lot of local you know, native

948
00:53:17,800 --> 00:53:22,960
Speaker 12: speakers for Haiti in western Ohio, and so we need

949
00:53:23,040 --> 00:53:25,160
Speaker 12: resources from the federal and state government to be able

950
00:53:25,200 --> 00:53:27,719
Speaker 12: to do some of those things. And you know, look,

951
00:53:27,760 --> 00:53:30,600
Speaker 12: I used to represent that district. Under the new redistricting,

952
00:53:31,000 --> 00:53:32,960
Speaker 12: that's a different members of Congress, but I think the

953
00:53:33,000 --> 00:53:36,200
Speaker 12: whole delegation is united and saying, look, we recognize that

954
00:53:36,920 --> 00:53:40,200
Speaker 12: there are legitimate refugees and other places around the world,

955
00:53:40,480 --> 00:53:43,239
Speaker 12: we want to be a welcoming place for people that

956
00:53:43,320 --> 00:53:46,200
Speaker 12: come legally. But really what you're seeing is the limits

957
00:53:46,239 --> 00:53:50,680
Speaker 12: of even legal immigration, where you are very sympathetic, are

958
00:53:50,719 --> 00:53:52,480
Speaker 12: being tested here and a big part of it is

959
00:53:52,520 --> 00:53:53,920
Speaker 12: the chain migration problem.

960
00:53:54,400 --> 00:53:57,880
Speaker 1: We're talking to Congressman Warren Davidson. The New York Times,

961
00:53:58,400 --> 00:54:02,360
Speaker 1: among others, has said that everything being said about Springfield,

962
00:54:02,360 --> 00:54:06,799
Speaker 1: Ohio is basically made up. We played yesterday many of

963
00:54:06,840 --> 00:54:11,279
Speaker 1: the viral clips from the town city council meeting of

964
00:54:11,360 --> 00:54:15,040
Speaker 1: people laying out what they are saying for people out

965
00:54:15,040 --> 00:54:17,759
Speaker 1: there who read The New York Times Congressman and say, oh,

966
00:54:17,840 --> 00:54:21,600
Speaker 1: this is all a made up story. I believe a

967
00:54:21,640 --> 00:54:25,680
Speaker 1: young kid was killed by a Haitian immigrant on his

968
00:54:25,760 --> 00:54:28,920
Speaker 1: way to the first day of school. That occurred. It's

969
00:54:28,960 --> 00:54:31,600
Speaker 1: happening in districts all over the place. But what would

970
00:54:31,600 --> 00:54:33,279
Speaker 1: you say to the New York Times is of the

971
00:54:33,320 --> 00:54:36,000
Speaker 1: world that have decided to parachute in on this story

972
00:54:36,040 --> 00:54:37,960
Speaker 1: and say this isn't true.

973
00:54:39,239 --> 00:54:42,160
Speaker 12: Yeah, I mean they're not trustworthy sources. The controlled media

974
00:54:42,239 --> 00:54:45,960
Speaker 12: continues to cover for the Biden administration on every front.

975
00:54:46,000 --> 00:54:49,480
Speaker 9: I mean they've continually lied. We know they're lying, they

976
00:54:49,520 --> 00:54:51,960
Speaker 9: know we know they're lying, and they keep lying. And

977
00:54:52,560 --> 00:54:55,040
Speaker 9: this is just another instance where they're whatever they need

978
00:54:55,080 --> 00:54:58,239
Speaker 9: to say to cover for the Biden Paris administration. They're

979
00:54:58,280 --> 00:55:01,239
Speaker 9: going to say, come on out under the ground and

980
00:55:01,280 --> 00:55:03,759
Speaker 9: talk to people, and you know, you'll find people in

981
00:55:03,800 --> 00:55:06,280
Speaker 9: the community that are fed up and don't want anybody

982
00:55:06,360 --> 00:55:08,440
Speaker 9: to come. Whether they're legal or not. But you also

983
00:55:08,480 --> 00:55:11,240
Speaker 9: find people that are like, yeah, I'm sympathetic. I understand

984
00:55:11,280 --> 00:55:12,839
Speaker 9: how bad of a place heit he is. Right now,

985
00:55:12,960 --> 00:55:14,960
Speaker 9: we want to welcome them. But let's not pretend, well,

986
00:55:14,960 --> 00:55:17,719
Speaker 9: you're not being overwhelmed here. We've got issues to deal

987
00:55:17,760 --> 00:55:21,200
Speaker 9: with and to say that all of these things are false,

988
00:55:22,040 --> 00:55:25,560
Speaker 9: that itself is clearly false, and so it's not rising

989
00:55:25,600 --> 00:55:29,239
Speaker 9: to this attention because it's some manufactured story. The reality is,

990
00:55:29,239 --> 00:55:31,359
Speaker 9: this is what people in the community are dealing with.

991
00:55:33,040 --> 00:55:35,279
Speaker 3: Congressman, appreciate you being with us. Thanks so much for

992
00:55:35,320 --> 00:55:35,960
Speaker 3: making the time.

993
00:55:36,480 --> 00:55:37,799
Speaker 12: Yeah, thank you guys for highlighting it.

994
00:55:39,320 --> 00:55:39,879
Speaker 3: We come back.

995
00:55:39,920 --> 00:55:41,799
Speaker 1: We'll take some of your calls eight hundred and two

996
00:55:42,040 --> 00:55:44,800
Speaker 1: two two eight a two roll you into the final

997
00:55:44,840 --> 00:55:48,200
Speaker 1: fifteen minutes of this show before the debate. Undoubtedly we'll

998
00:55:48,239 --> 00:55:51,880
Speaker 1: spend tomorrow reacting to all of the big takeaways from

999
00:55:51,960 --> 00:55:55,240
Speaker 1: the debate. But soon we are going to be going

1000
00:55:55,560 --> 00:55:56,960
Speaker 1: up to New York. I'm going to be playing in

1001
00:55:57,000 --> 00:56:00,360
Speaker 1: the charity golf challenge for Tunnel to Towers. Are planning

1002
00:56:00,400 --> 00:56:02,960
Speaker 1: on being at the gala event to raise money for

1003
00:56:03,000 --> 00:56:05,120
Speaker 1: Tunnel to Towers As part of what we're doing with

1004
00:56:05,239 --> 00:56:08,160
Speaker 1: Crockett buying a table and trying to support them with

1005
00:56:08,239 --> 00:56:11,680
Speaker 1: the profits that we're making on our company. And Tomorrow,

1006
00:56:11,800 --> 00:56:14,600
Speaker 1: as many of you know, is a very somber day

1007
00:56:14,640 --> 00:56:18,440
Speaker 1: in New York City, Washington, d C. In Somerset County, Pennsylvania,

1008
00:56:18,480 --> 00:56:21,640
Speaker 1: because it is the anniversary of September eleventh, and Tunnel

1009
00:56:21,719 --> 00:56:24,280
Speaker 1: the Towers has been doing everything they can to honor

1010
00:56:24,320 --> 00:56:27,160
Speaker 1: the lives of those men and women we lost on

1011
00:56:27,360 --> 00:56:31,720
Speaker 1: that tragic day twenty three years ago. Now they've provided

1012
00:56:31,760 --> 00:56:35,600
Speaker 1: surviving families with mortgage free homes wherever possible. They're teaching

1013
00:56:35,680 --> 00:56:39,719
Speaker 1: kids in schools about the unfortunate events of nine to

1014
00:56:39,760 --> 00:56:42,840
Speaker 1: eleven so every generation can learn about the heroism and

1015
00:56:42,880 --> 00:56:47,240
Speaker 1: patriotism of so many first responders and tunn of the Towers.

1016
00:56:47,320 --> 00:56:51,360
Speaker 1: Nine to eleven curriculum units have scripted lessons, background for teachers,

1017
00:56:51,400 --> 00:56:54,920
Speaker 1: activities for students based on first person accounts and designed

1018
00:56:54,920 --> 00:56:58,600
Speaker 1: to meet many academic standards. Nine to eleven Institute offers

1019
00:56:58,640 --> 00:57:02,880
Speaker 1: the Discovering Heroes Books series for distributions in schools, also

1020
00:57:03,760 --> 00:57:06,440
Speaker 1: a mobile exhibit with nine to eleven artifacts. I know

1021
00:57:06,440 --> 00:57:09,600
Speaker 1: it's crazy as it is for many of you and

1022
00:57:09,680 --> 00:57:12,279
Speaker 1: for us as well, to think that it has been

1023
00:57:12,360 --> 00:57:15,600
Speaker 1: twenty three years since that tragic day in our nation's history.

1024
00:57:15,880 --> 00:57:17,960
Speaker 1: We have to make sure that we keep our nations

1025
00:57:18,000 --> 00:57:21,280
Speaker 1: promised and never forget. Donate eleven dollars a month to

1026
00:57:21,320 --> 00:57:24,440
Speaker 1: Tunnel the Towers at t twot dot org. That's T

1027
00:57:24,720 --> 00:57:26,920
Speaker 1: the number two t dot org.

1028
00:57:28,080 --> 00:57:31,439
Speaker 7: Learn, laugh, and join us on the weekend on our

1029
00:57:31,600 --> 00:57:34,800
Speaker 7: Sunday Hang with Clay and Fuck podcast. Find it on

1030
00:57:34,880 --> 00:57:37,600
Speaker 7: the iHeart app or wherever you get your podcasts.