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Speaker 1: Welcome everybody, Monday edition of the Clay Travis n Bucks

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Speaker 1: Sexton Show.

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Speaker 2: Get's going right now.

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Speaker 1: It is a big week everyone. We are excited to

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Speaker 1: be here with you talking about it. Debate night tomorrow night.

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Speaker 1: A lot of preparation talk, strategizing, tactical analysis and all

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Speaker 1: the rest of it going on today and tomorrow. We

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Speaker 1: will dive into that for sure. Also on x elon

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Speaker 1: Musk social media platform that is I think going to

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Speaker 1: play an increasingly large role in this election as people

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Speaker 1: get closer and closer to casting their votes because the

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Speaker 1: media can't shut down narratives. The situation of Springfield, Ohio,

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Speaker 1: which according to reports had about forty eight or fifty

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Speaker 1: thousand residents and has had twenty thousand Haitian sign lee's

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Speaker 1: essentially and people that are brought here under an emergency

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Speaker 1: order but just allowed into the country, no vetting, no nothing,

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Speaker 1: And there's a lot of stuff going around social media

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Speaker 1: about just the strain on public resources and what this

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Speaker 1: means for the town, the disorder, the crimes that are

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Speaker 1: being committed, all of it. So we'll get into that.

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Speaker 1: And there are allegations that are also flying around about

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Speaker 1: some of the migrants killing ducks in public parks. I mean,

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Speaker 1: this is really is this is being said.

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Speaker 2: I just want to be clear on the record in

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Speaker 2: public forums, and I mean.

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Speaker 1: Killing duck, like they go up to it and chop

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Speaker 1: its head off and they start roasting it in the

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Speaker 1: park with like people pushing strollers by and stuff.

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Speaker 2: This is what's being said right now. We'll get into this.

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Speaker 2: There's videos, there's people reporting this.

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Speaker 1: Well, we'll discuss this because it brings up once again,

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Speaker 1: not only are migrants affecting cities like New York, Chicago,

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Speaker 1: et cetera, but in small cities, either the government decides

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Speaker 1: or perhaps the migrants aside themselves to congregate in large

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Speaker 1: numbers and it puts a tremendous resource burden on that

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Speaker 1: city such that Remember Democrats are now pretending to be

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Speaker 1: tough on the border.

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Speaker 2: Hey, anyone who.

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Speaker 1: Wants to reflexively, you know, shoot down or disagree with

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Speaker 1: what I'm saying would have to explain why Kamala Harris

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Speaker 1: is now saying she's in favor of a wall. Everybody, Okay,

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Speaker 1: they can see where the country is on this, that's right.

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Speaker 1: Kamala Harris isn't just in favor of comprehensive immigration reform.

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Speaker 1: She has come out in favor of a wall, although

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Speaker 1: she may come out against it tomorrow or have some

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Speaker 1: surrogates say she's against it.

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Speaker 2: You know, it changes every day. Who knows.

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Speaker 1: Clay, Let's start with this though. Now you and I

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Speaker 1: are looking at the same thing over the weekend. This

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Speaker 1: is this is good stuff. New York Times headline, Trump

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Speaker 1: and Harris neck and neck after summer upheaval, Times Siena

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Speaker 1: poll finds Now.

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Speaker 2: I think this is a very interesting headline.

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Speaker 1: Because what it actually shows is that Donald Trump, in

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Speaker 1: terms of the national vote right now, right, if the

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Speaker 1: twenty twenty four presidential election we're held today, who would

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Speaker 1: you vote for nationwide? Pole forty eight percent, Trump forty

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Speaker 1: seven percent. Kamala Harris. We can get into and I

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Speaker 1: know you want to, so we will in a second.

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Speaker 1: Here more of a deep dive into these numbers. But Clay,

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Speaker 1: the Kamala campaign was all premised on creating this false

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Speaker 1: narrative and hoping the sort of the air leaves that

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Speaker 1: balloon slowly enough that they could fool people in this election.

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Speaker 1: I think this balloon's running out of air really fast.

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Speaker 1: I think people are seeing what's going on. The Democrats

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Speaker 1: are in a quiet panic.

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Speaker 2: Yes, we've been telling people for the last couple of weeks.

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Speaker 2: You were on it before I was, but that that

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Speaker 2: the data had been reflecting that the Kamala surge, the

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Speaker 2: sugar high, the honeymoon of Oh look, Joe Biden, ancient

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Speaker 2: dementia riddled president is no longer our nominee. Now we've

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Speaker 2: got Kamala Harrison. It's a brat summer, and there's joy,

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Speaker 2: and there's happiness. It's all gone. She didn't get a

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Speaker 2: boost from the convention because I think she had gotten

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Speaker 2: the boost from just merely not being Biden. The RFK

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Speaker 2: Junior Tulsea Gabbert editions, I think have been very important

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Speaker 2: for Trump in terms of expanding the base. And this

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Speaker 2: is important because Trump isn't just doing well in battleground states,

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Speaker 2: which we knew was going to be the case, but

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Speaker 2: he's also leading, according to the New York Times, in

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Speaker 2: potentially the actual popular vote, and given that the Midwest

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Speaker 2: in particular is a couple of points behind where the

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Speaker 2: popular vote is because Democrats tend to run up margins

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Speaker 2: in California and historically places like New York and Massachusetts

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Speaker 2: and whatnot. The Northeast and California provide much of the

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Speaker 2: bulwark to the Democrat Party when it comes to the

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Speaker 2: national vote. If Trump wins the popular vote, this election's

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Speaker 2: not going to be close. And there have been signs

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Speaker 2: we talked about last week. Kamala Harris deciding to begin

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Speaker 2: her campaign after Labor Day in New Hampshire should have

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Speaker 2: set up a little bit of a warning sign to

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Speaker 2: many out there about what her internal polls were showing.

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Speaker 2: Because Biden won New Hampshire by seven points in twenty twenty,

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Speaker 2: and New Hampshire is one of the most reliable states

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Speaker 2: out there because they essentially require on election day voting.

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Speaker 2: There isn't very much absentee voting in New Hampshire. Everybody

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Speaker 2: has to show up in person, present ID. It's a

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Speaker 2: good barometer for how the nation will vote, and it's

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Speaker 2: very secure election. We talked about buck Virginia. The fact

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Speaker 2: that there have continued to be polls coming out showing

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Speaker 2: Kamala just a couple of points up in Virginia, a

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Speaker 2: state that Joe Biden won by ten. There are lots

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Speaker 2: of ominous signs out there, and with the debate happening tomorrow.

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Speaker 2: I think Trump needs to be smart about how he

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Speaker 2: behaves in the debate. I think, and I'm curious how

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Speaker 2: you would analyze this. The way that you perform in

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Speaker 2: a debate if you're winning is different than if you're behind.

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Speaker 2: If you're winning, you want to come out, show confidence,

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Speaker 2: be above the fray to a large extent, show that

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Speaker 2: you are presidential. If you're losing, you need to drag

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Speaker 2: somebody down into the mud with you. You need to

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Speaker 2: make it messy often times because you're trying to make

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Speaker 2: up ground. Trump, to me, buck is the equivalent we

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Speaker 2: just had the NFL start. Trump has the ball and

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Speaker 2: he's winning. When you have the ball and you're winning,

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Speaker 2: you just run the off tackle, plays, economy, border crime.

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Speaker 2: He's got the issues on his side, he's got the

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Speaker 2: clock on his side. He doesn't need to upset the

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Speaker 2: trajectory of this race. He just needs to bring it home, baby,

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Speaker 2: because everything is working in his favor right now. I

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Speaker 2: also think it's funny that the Kamala campaign has complained

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Speaker 2: about the muting of mikes, which was in agreed to rule.

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Speaker 2: I do think that that is going to be to

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Speaker 2: Trump's benefit because Kamala posing as Oh, I'm a woman

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Speaker 2: and he's interrupting me because he's a bully or whatever. Yes,

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Speaker 2: that's her most obvious play.

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Speaker 1: And I know that for people who pay attention to

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Speaker 1: politics and know what's going on, who.

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Speaker 2: Could care about that?

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Speaker 1: There'll be people who tune in who and this isn't

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Speaker 1: I'm not disparaging anybody who's in this category. You know,

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Speaker 1: they're just trying to pay their bills and live their lives,

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Speaker 1: and they don't really focus much on politics, and they

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Speaker 1: don't really have particularly strong opinions. And those kinds of

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Speaker 1: optics or vibes or whatever you want to say, those

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Speaker 1: tech those perceptions of trump deportment, of Trump treatment of

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Speaker 1: his opponent could be meaningful.

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Speaker 2: I think that's pretty much off the table. I totally

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Speaker 2: agree that if.

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Speaker 1: Trump runs this thing as though he is he's the

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Speaker 1: elder statesman, which he is, the elder statesman in the room,

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Speaker 1: and the guy who is serious and wants to get

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Speaker 1: back to business here best possible thing. I also think

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Speaker 1: that Trump liked all the praise that he got pretty

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Speaker 1: universally from the Biden debate. You know, yeah, he likes

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Speaker 1: to do it however he wants to do it. But

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Speaker 1: he also likes to win, I think, more than anything else.

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Speaker 1: So I'm expecting him to be pretty. You know, it's

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Speaker 1: always a variation of Trump, right. It's not the way

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Speaker 1: you or I or anyone listening would debate Kamala Harris.

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Speaker 1: I think you'll have a pretty dialed in Donald Trump tomorrow.

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Speaker 1: I don't expect him to go fly off the handle

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Speaker 1: a bit and just back if I can clay to

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Speaker 1: the poland for a second, you're what's his name, Nate Silver?

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Speaker 1: Ye see this, Yeah, he's got it. He has thought

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Speaker 1: according to the five thirty eight twenty eight what is it?

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Speaker 2: Five to twenty eight? He used to have five thirty

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Speaker 2: eight now he has the thirty independent site. Five thirty

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Speaker 2: eight is still owned by ABC News. I think. But

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Speaker 2: he's got I think, and we had him on the

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Speaker 2: show a couple of weeks ago. He's got the most reliable,

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Speaker 2: I think, analytical based analysis of the presidential polling that

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Speaker 2: is out there, and to your point, Buck, it is

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Speaker 2: very favorable to Trump. Right now.

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Speaker 1: He's got Trump winning now over a sixty percent chance

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Speaker 1: of Trump winning, and just a couple of weeks ago

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Speaker 1: he had Kamala winning. So something has changed. Look, we've

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Speaker 1: told you this for a while now, and this is

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Speaker 1: why that initial rush from oh it's not Biden, and

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Speaker 1: the exhilaration and the media all standing around together in

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Speaker 1: Unison in a way that was truly Pravda esque. I

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Speaker 1: mean it was Soviet in the way that they were all.

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Speaker 2: Just Oh, it's amazing Kamala Harris, he's so great.

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Speaker 1: They've been hiding her from the public. We all see

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Speaker 1: what's going on here. She's done one interview in what

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Speaker 1: forty days or something like this. I mean, it's it's blaringly,

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Speaker 1: glaringly However, you want to say, it's very obvious that

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Speaker 1: Kamala Harris is trying to pretend she's something she's not,

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Speaker 1: just so she can win the election and she can

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Speaker 1: go back to being a San Francisco progressive. Okay, that's

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Speaker 1: what's happening, and I think people are catching on a

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Speaker 1: little bit. And also she's just not good at the

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Speaker 1: blocking and tackling, if you will, of yeah, presidential campaigning,

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Speaker 1: because she's also not doing it right. She's not good

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Speaker 1: at it, and she's so not good at it that

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Speaker 1: she's not doing.

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Speaker 2: It, did you see buck, And we can dive into

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Speaker 2: this a little bit too. Did you see that they

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Speaker 2: went after college football fans in the Midwest with banners

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Speaker 2: to fly over the stadiums during the Big Ten games,

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Speaker 2: including one that said Jade Vance loves Ohio State flying

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Speaker 2: over during the Michigan Texas game. They know the bids

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Speaker 2: and that's actually pretty funny. I just that's actually I

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Speaker 2: do think it's pretty funny, But I actually think it

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Speaker 2: it is evidence that they are really kind of panicked

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Speaker 2: because I'm telling you, I know these people. They show

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Speaker 2: up for Penn State games, they show up for Michigan,

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Speaker 2: Michigan State games, Wisconsin. I'm gonna be in Wisconsin this weekend.

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Speaker 2: I cannot wait. I'm gonna be at the Alabama Wisconsin

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Speaker 2: game in Madison for with my family. Buck. They are

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Speaker 2: panicked because the older white male and female voter that

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Speaker 2: they need to rely on to be able to turn

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Speaker 2: out that Biden had appeal to she doesn't have the

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Speaker 2: appeal to them. And they knew that, and they went

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Speaker 2: and grabbed Tim Walls, who's an awkward, not reflective, normal dude. Right.

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Speaker 2: They tried anytime you try to sell somebody as oh,

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Speaker 2: the middle part of the country is gonna like him,

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Speaker 2: I live in the middle part of the country. I

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Speaker 2: look around and I say, we feel like we're being

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Speaker 2: sort of mocked and ridiculed by you trying to claim

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Speaker 2: see there's people like us who like you too. I'm

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Speaker 2: telling you, they're starting to panic in the Midwest. And

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Speaker 2: she was already doing poorly in Arizona. She's not winning.

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Speaker 2: The one thing I feel very confident about Buck is

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Speaker 2: I know the South. She's not winning North Carolina, she's

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Speaker 2: not winning Georgia. And if she doesn't win North Carolina

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Speaker 2: and Georgia, and I really don't think she is, she

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Speaker 2: is in a tough spot. It means if he wins Pennsylvania, Trump,

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Speaker 2: it doesn't even matter what happens in Michigan, Wisconsin, Nevada,

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Speaker 2: or Arizona. We want to win all those states. But

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Speaker 2: if she wins, if he wins North Carolina and Georgia,

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Speaker 2: the map is almost impossible for her at that point.

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Speaker 1: Also, take some of your calls on this one and

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Speaker 1: hear your thoughts on how you think the debate is

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Speaker 1: going to go tomorrow. So the lines are open eight

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Speaker 1: hundred and two eight two eight eight two. You know

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Speaker 1: child can make all the difference and so often leads

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Speaker 1: donate one hundred and forty dollars. That would be five ultrasounds.

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Speaker 1: One of you and so many of you have already

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Speaker 1: stepped up and shown that you are both very fortunate

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Speaker 2: You ain't imagining it. The world has gone insane. We

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Speaker 2: claim your sanity with Clay and Fun. Find them on

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Speaker 2: the free iHeartRadio app or wherever you get your podcasts.

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Speaker 2: Welcome back in Clay Travis Buck Sexton Show. I do

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Speaker 2: want to hit this because I think it's important. As

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Speaker 2: we sit here on the eve of the debate. You

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Speaker 2: mentioned Nate Silverbuck, and I want to hit people with

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Speaker 2: where exactly he sees this race. We mentioned New York

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Speaker 2: Times forty eight forty seven in favor of Trump. Another

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Speaker 2: poll came out today Kamala Harris Donald Trump fifty to

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Speaker 2: fifty from Harvard Harris. So that's two poles basically saying

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Speaker 2: dead even dead even is good for Trump because in general,

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Speaker 2: debt evenness in the race nationwide is very good in

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Speaker 2: the battleground states.

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Speaker 1: I'm just gonna say, if you look at where Trump

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Speaker 1: is now at this stage of a presidential election, and

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Speaker 1: this is why the Libs who know are concerned. Okay,

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Speaker 1: the Kammies are getting worried here and Clay, it's because

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Speaker 1: Trump is in a better position now than he was

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Speaker 1: in twenty twenty or in twenty six correct.

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Speaker 2: Important to point that out here is Nate Silver. Trump

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Speaker 2: just hit a new high in his poll in his

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Speaker 2: prediction sixty four percent that he thinks Trump's gonna win,

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Speaker 2: thirty six percent for Kamala. Here's the swing states he's

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Speaker 2: now got Trump seventy five twenty five. These are percentage

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Speaker 2: chances to win North Carolina sixty eight percent, chance to win,

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Speaker 2: Georgia sixty one percent, chance to win Nevada seventy seven percent,

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Speaker 2: chance to win in Arizona. And then in the so

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Speaker 2: called blue wall states sixty four percent chance Trump wins Pennsylvania,

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Speaker 2: fifty four percent chance Trump wins Michigan, fifty three percent

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Speaker 2: chance Trump wins Wisconsin. Right now, he has Trump sweeping

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Speaker 2: all seven of the so called battleground states, which would

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Speaker 2: be incredible lot of work to do, Buck, But that's

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Speaker 2: the absolute latest forecast from Nate Silver.

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Speaker 1: I also think one part of this that we all

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Speaker 1: we have to keep in mind. Normally there would be

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Speaker 1: the big October surprise coming against Trump, and there may

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Speaker 1: be something this time, although they've pushed back the sentencing, right,

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Speaker 1: so that was the one that we were all expecting. Clay,

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Speaker 1: They've thrown so much at Trump at this point. I

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Speaker 1: just making light of this at all, of course, because

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Speaker 1: it was horrific and it was a gut punch to

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Speaker 1: the nation that had happened. But they shot him. I

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Speaker 1: mean he got shot over the summer, Okay, he took

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Speaker 1: a bullet through the ear. He's been through four criminal indictments,

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Speaker 1: one criminal trial completed. What could an October surprise even

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Speaker 1: be from the Democrat apparatus at this point, I know,

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Speaker 1: I just feel like there's no way for them to

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Speaker 1: turn the momentum in the other direction. So each day

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Speaker 1: that Kamala is slipping is that's points they're never going

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Speaker 1: to get back.

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Speaker 2: No doubt. Early voting starting soon. Also, Bucket's important. She's

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Speaker 2: the incumbent, so October surprises tend to work against the incumbent.

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Speaker 2: In other words, if something awful happens and things get

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Speaker 2: worse in the country, nobody's going to look around and say, oh,

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Speaker 2: you know who's to blame for this. It's the party

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Speaker 2: that's been out of power for almost four years. Kamala

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Speaker 2: is in trouble, and again Trump has got the ball.

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Speaker 2: He is in the lead. Just needs to run off

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Speaker 2: tackle plays and let the clo run out. Nothing crazy here.

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Speaker 2: And speaking of off tackle plays, we had some good results.

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Speaker 2: Prize picks right now. You can get signed up. If

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Speaker 2: see if we can hit a ten to one winner

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Speaker 2: or not. I'll give you my picks on Friday, right

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Speaker 2: here on our Thursday, right here on this show. You

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Speaker 2: got to prizepicks dot com. Put in my name Clay.

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Speaker 2: You put in a five dollars pick, they will give

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Speaker 2: now if you just put in five at prizepicks dot com.

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Speaker 2: Use my name Clay. That's prizepicks dot com. My name Clay.

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Speaker 2: Do it today. Welcome back into Clay and Buck.

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Speaker 1: So a lot going on here with the prep for

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Speaker 1: the debate. We're going to get into more of that.

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Speaker 1: We've got our I'm trying to think of who is.

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Speaker 2: Kosh Ptel one thirty and Lisa Booth two thirty coming

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Speaker 2: down the pike in the next couple of hours, ready

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Speaker 2: to bury it. Didn't even need to stretch. He's out

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Speaker 2: there on the field. He's going.

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Speaker 1: So, you know, I think that what we're going to

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Speaker 1: see is unlikely to have the kind of a well,

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Speaker 1: it's not gonna have the effect that it had against Biden,

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Speaker 1: for sure, but it's an opportunity if Trump shows in

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Speaker 1: my mind, Clay, if Trump shows up ahead after that

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Speaker 1: pull another point or two. It's feeling very good. And

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Speaker 1: by the way, please, I know that I get more

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Speaker 1: messages now about well, what about the cheating and what

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Speaker 1: about the cheating? And if they cheat and they beat

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Speaker 1: us this time, we deserve to lose if we don't

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Speaker 1: catch it and stop it. That's how that's how I

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Speaker 1: feel about it. You know, I didn't say if they

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Speaker 1: cheat we deserve to lose. Is that if they cheat

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Speaker 1: and we don't catch it and they get away with it,

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Speaker 1: we deserve to lose. We've got we talked to Chairman

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Speaker 1: Wattley of the R and C. He said they're all

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Speaker 1: over this. He said, they've got an army of poll watchers.

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Speaker 1: He said, they've got an army of lawyers. We have

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Speaker 1: every you know, you know what I mean, like fool

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Speaker 1: me once, as Bush said, can't get fooled again. And

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Speaker 1: I would encourage all of you to do what my

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Speaker 1: wife Laura did, who was fired up about election security.

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Speaker 1: She is volunteering in our local poll and I'll be

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Speaker 1: working there.

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Speaker 2: Yeah. She spent yeah at she'll be there on election day.

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Speaker 2: She got trained, she is she is ready to go.

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Speaker 1: Uh.

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Speaker 2: And also when we had Wattley on at the RNC.

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Speaker 2: He told all of you, we appreciate the emails we

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Speaker 2: really do to us saying hey, you need to let

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Speaker 2: people know they're going to cheat, they're going to try

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Speaker 2: to rig the election, all these things. We appreciate it.

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Speaker 2: But what would be better than you emailing Buck and

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Speaker 2: me is if you out there could make the decision

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Speaker 2: to volunteer yourself to help with election security. And the

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Speaker 2: RNC is signing people up left and right, particularly if

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Speaker 2: you have the time. Some of you are lawyers and

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Speaker 2: you want to be poll watchers. They are desperately asking

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Speaker 2: for you to be involved. So if you truly care

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Speaker 2: about the sanctity and security of the election, the best

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Speaker 2: thing you can do is give your labor over to

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Speaker 2: the RNC to help ensure we have fair and faithful

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Speaker 2: and secure elections. I'm just gonna say it.

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Speaker 1: I mean, the Trump team, legally speaking, was outmaneuvered by

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Speaker 1: the twenty twenty COVID stuff.

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Speaker 2: Well we don't have COVID now, okay, But the.

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Speaker 1: Way that the laws were changed or even broken, I

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Speaker 1: would argue in some states to allow voting patterns that

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Speaker 1: would be more favorable to Democrats. There's been plenty of

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Speaker 1: time to challenge all that, plenty of time to get

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Speaker 1: in front of you know, it's what happened in twenty

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Speaker 1: twenty in part and please don't tell me, but what

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Speaker 1: about this and what about that? I don't have six

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Speaker 1: hours to talk about this right now. Part of it was, hey,

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Speaker 1: they did this. They shouldn't have allowed those votes to

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Speaker 1: be in in that way that they at the time

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Speaker 1: were allowed to be cast. Once votes are cast and

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Speaker 1: people have been told, you're allowed to cast them that way,

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Speaker 1: even if it violates the state constitution, as I believe

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Speaker 1: it did in Pennsylvania, to have it's very you're just

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Speaker 1: not going to get a judge to be like, well,

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Speaker 1: people voted in good faith, so that doesn't matter. We're

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Speaker 1: just gonna say it didn't count. They're just not gonna

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Speaker 1: do it. And I remember I said that at the time.

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Speaker 1: My point here isn't oh but nothing matters. My point

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Speaker 1: is they've got to get ahead of it. They've got

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Speaker 1: time to get ahead of it. They've had four years.

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Speaker 1: I'm not saying that we won't see shenanigans. I'm saying

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Speaker 1: we need to be ready for it. And going into

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Speaker 1: this with well, they're gonna cheat we're not. We don't

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Speaker 1: sit and cry in advance of seeing what the scoreboard

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Speaker 1: is run. Let's beat the cheat and run the scoreboard

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Speaker 1: up so high that it would be laughable to think

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Speaker 1: that Donald Trump hasn't won this election.

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Speaker 2: Yeah, and let's expand the number of states where we

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Speaker 2: are putting them in play. This is why I mentioned

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Speaker 2: New Hampshire and Virginia. Everybody focused on Michigan, Wisconsin, Pennsylvania,

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Speaker 2: deservedly so, Nevada, Arizona, Georgia, and North Carolina. But keeping

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Speaker 2: a lot of states within a close margin makes it

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Speaker 2: really hard. The great analogy, or the great sort of

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Speaker 2: metaphor for this, which you've seen in cartoons forever, is

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Speaker 2: the guy who's trying to plug the dam that starts

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Speaker 2: to pop with a bunch of different holes in it,

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Speaker 2: you know the cartoon. That is what needs to happen

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Speaker 2: in twenty twenty four, and we are now the race itself.

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Speaker 2: Even if you talk to the most diehard Democrat, it's

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Speaker 2: all on Democrat Party. Twenty twenty twenty one states, with

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Speaker 2: the exception of North Carolina, the other six agreed upon battlegrounds,

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Speaker 2: and we could expand it to again New Hampshire into Virginia.

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Speaker 2: All of the battlegrounds are Democrats having to defend. Right now,

432
00:24:05,600 --> 00:24:07,920
Speaker 2: North Carolina. I feel like a lot of you listening

433
00:24:07,960 --> 00:24:10,760
Speaker 2: in North Carolina is going to go red. Got to

434
00:24:10,800 --> 00:24:12,760
Speaker 2: show up and vote, got to do everything. But Trump

435
00:24:12,880 --> 00:24:16,280
Speaker 2: won North Carolina in twenty sixteen, he won North Carolina

436
00:24:16,320 --> 00:24:19,400
Speaker 2: in twenty twenty. I don't think that suddenly Kamala Harris

437
00:24:19,400 --> 00:24:21,040
Speaker 2: is gonna win in twenty twenty four. A lot of

438
00:24:21,080 --> 00:24:23,640
Speaker 2: work to be done, but that's the only state buck

439
00:24:23,720 --> 00:24:26,480
Speaker 2: that they're even spending money on. That is a quote

440
00:24:26,560 --> 00:24:30,520
Speaker 2: unquote red state from twenty twenty. Every other battleground state,

441
00:24:30,920 --> 00:24:34,360
Speaker 2: blue state that Biden won that Kamala is trying to defend,

442
00:24:34,840 --> 00:24:37,080
Speaker 2: they're on their back heel. We just got to pour

443
00:24:37,160 --> 00:24:39,520
Speaker 2: on more steam here, and that's what I think the

444
00:24:39,640 --> 00:24:43,159
Speaker 2: elect the debate tomorrow can do. If Trump shows up

445
00:24:43,520 --> 00:24:46,879
Speaker 2: and delivers a solid performance. We'll get into this more

446
00:24:47,000 --> 00:24:49,160
Speaker 2: when it happens. But I just have been thinking about

447
00:24:49,200 --> 00:24:53,200
Speaker 2: it a bunch already. If Trump wins this debate tomorrow,

448
00:24:53,240 --> 00:24:54,600
Speaker 2: I don't think he should. I don't think he should

449
00:24:54,600 --> 00:24:57,600
Speaker 2: debate again because Kamala's going You're gonna know that he

450
00:24:57,720 --> 00:25:00,280
Speaker 2: has won because of not only with the Pole show,

451
00:25:00,320 --> 00:25:03,280
Speaker 2: but then the campaign, the Kamala campaign will be open

452
00:25:03,840 --> 00:25:07,040
Speaker 2: to suddenly she's going to show up, desperate, begging for

453
00:25:07,160 --> 00:25:10,680
Speaker 2: another opportunity to change the trajectory. And if I'm Trump

454
00:25:10,720 --> 00:25:13,000
Speaker 2: at that point, I just said, no, why we did

455
00:25:13,040 --> 00:25:15,560
Speaker 2: this once? You know that's all you agreed to, and

456
00:25:15,640 --> 00:25:18,119
Speaker 2: you know I'm not playing this game anymore. And she

457
00:25:18,240 --> 00:25:20,760
Speaker 2: can go around and whine because the whining at that

458
00:25:20,880 --> 00:25:23,760
Speaker 2: point would be obvious to everybody, is just a function

459
00:25:23,880 --> 00:25:26,399
Speaker 2: of she knows she's losing. I mean, here's the the

460
00:25:26,920 --> 00:25:31,600
Speaker 2: neck and neck narrative and the oh, it's so close.

461
00:25:32,359 --> 00:25:35,080
Speaker 2: Two weeks ago, it was Kamala's winning in every swing state. Haha,

462
00:25:35,280 --> 00:25:37,200
Speaker 2: Kamala is going to win Comma. You know that was

463
00:25:37,280 --> 00:25:40,200
Speaker 2: the story from the media. The only reason they're saying

464
00:25:40,240 --> 00:25:42,960
Speaker 2: it's neck and neck now is because they want everyone

465
00:25:43,000 --> 00:25:46,320
Speaker 2: to think it's very, very close and not. Oh so,

466
00:25:46,600 --> 00:25:49,960
Speaker 2: Kamala is losing ground and Trump is gaining ground with

467
00:25:50,119 --> 00:25:53,560
Speaker 2: each passing day, which is what is actually happening. Did

468
00:25:53,640 --> 00:25:55,880
Speaker 2: you see the paydic though when the New York Times

469
00:25:55,920 --> 00:25:58,760
Speaker 2: poll came out because they knew they know the New

470
00:25:58,840 --> 00:26:02,159
Speaker 2: York Times is not rigged in favor of Trump. The

471
00:26:02,480 --> 00:26:07,280
Speaker 2: left wing panic when they came out yesterday and showed

472
00:26:07,400 --> 00:26:10,760
Speaker 2: Trump up forty eight forty seven, up two points in

473
00:26:10,840 --> 00:26:15,640
Speaker 2: a multi candidate field, by the way, was legion. They

474
00:26:15,840 --> 00:26:20,760
Speaker 2: are nervous, they're afraid, they know that Kamala has tried

475
00:26:20,840 --> 00:26:25,600
Speaker 2: to hide. They've spent hundreds of millions of dollars trying

476
00:26:25,640 --> 00:26:28,440
Speaker 2: to move the needle. And this is where to your point, Buck,

477
00:26:28,520 --> 00:26:31,520
Speaker 2: I think they're so challenged and why an October surprise

478
00:26:31,640 --> 00:26:34,840
Speaker 2: would be so difficult. Everybody knows what they think about

479
00:26:34,920 --> 00:26:40,560
Speaker 2: Donald Trump. Everybody knows. You've had since twenty fifteen to

480
00:26:40,680 --> 00:26:44,560
Speaker 2: decide where you are and what you think about Donald Trump.

481
00:26:44,880 --> 00:26:46,639
Speaker 2: And to me, the most interesting part of the New

482
00:26:46,720 --> 00:26:50,440
Speaker 2: York Times poll, Buck, was that Trump is at all

483
00:26:50,560 --> 00:26:54,040
Speaker 2: time favorability highs in the New York Times poll. They

484
00:26:54,119 --> 00:26:57,680
Speaker 2: have spent nine years attacking him with everything they've got.

485
00:26:58,119 --> 00:26:59,920
Speaker 2: They tried to put him in prison in New York,

486
00:27:00,600 --> 00:27:05,080
Speaker 2: South Florida, d C. Georgia. They tried to bankrupt him,

487
00:27:05,520 --> 00:27:09,720
Speaker 2: They charged him with inappropriate behavior from over twenty years ago.

488
00:27:09,840 --> 00:27:13,840
Speaker 2: They changed the statute of limitations to allow these lawsuits

489
00:27:13,920 --> 00:27:18,560
Speaker 2: to even exist, and after all that buck, after billions

490
00:27:18,640 --> 00:27:22,280
Speaker 2: of dollars they have spent, Trump is more popular as

491
00:27:22,400 --> 00:27:24,960
Speaker 2: we are talking to you right now than he ever

492
00:27:25,160 --> 00:27:28,040
Speaker 2: has been in his entire political career. And to your point,

493
00:27:28,480 --> 00:27:31,320
Speaker 2: based on all the polling, he's in better shape right

494
00:27:31,400 --> 00:27:34,359
Speaker 2: now than he ever was in twenty sixteen or twenty

495
00:27:34,480 --> 00:27:36,720
Speaker 2: twenty as we get ready to start voting.

496
00:27:37,359 --> 00:27:40,199
Speaker 1: One of my biggest concerns with the way that they

497
00:27:40,240 --> 00:27:42,640
Speaker 1: have waged the law fair campaign against Trump has been

498
00:27:43,160 --> 00:27:47,239
Speaker 1: all along the precedent that it sets, and everyone has

499
00:27:47,240 --> 00:27:50,320
Speaker 1: talked about the crossing of the rubicon because it is

500
00:27:50,440 --> 00:27:54,360
Speaker 1: something that we have never seen before. I truly mean

501
00:27:54,440 --> 00:27:58,800
Speaker 1: this to me. The only way to even try to

502
00:27:58,840 --> 00:28:03,639
Speaker 1: put that genie back in the bottle is for Donald

503
00:28:03,680 --> 00:28:06,840
Speaker 1: Trump to win this election and therefore for it to

504
00:28:06,880 --> 00:28:12,800
Speaker 1: be a clear rejection of the lawfair tactic to try

505
00:28:12,840 --> 00:28:17,240
Speaker 1: to win a presidential election, to have left wing Democrat

506
00:28:17,320 --> 00:28:20,320
Speaker 1: prosecutors and a left wing Democrat judge and a left

507
00:28:20,359 --> 00:28:26,000
Speaker 1: wing Democrat jury come up with some just absurd, absurd

508
00:28:26,440 --> 00:28:31,040
Speaker 1: case and you know, criminal allegation, all this stuff. If

509
00:28:31,280 --> 00:28:33,760
Speaker 1: Donald Trump loses, it's going to be hard not to

510
00:28:33,880 --> 00:28:36,000
Speaker 1: think that this won't be replicated in the future. If

511
00:28:36,040 --> 00:28:39,200
Speaker 1: Donald Trump wins, I think it will at least be

512
00:28:40,000 --> 00:28:42,480
Speaker 1: something of a rebuke to the lawfair narrative, which is

513
00:28:42,560 --> 00:28:45,480
Speaker 1: really important. Honestly goes beyond even just Trump in this election.

514
00:28:45,600 --> 00:28:46,959
Speaker 1: It goes to the future of the country.

515
00:28:47,080 --> 00:28:50,520
Speaker 2: So I think it also Buck to your point, not

516
00:28:50,640 --> 00:28:53,920
Speaker 2: just law fair. I think if Trump wins, the entire

517
00:28:54,120 --> 00:28:56,680
Speaker 2: concept of identity politics is going to have to get

518
00:28:56,760 --> 00:28:59,920
Speaker 2: re examined by Kamala Harris because she is the ultimate

519
00:29:00,040 --> 00:29:05,000
Speaker 2: DEI candidate black woman that supposedly is going to unite

520
00:29:05,120 --> 00:29:08,240
Speaker 2: all the different people of various ethnic groups in America

521
00:29:08,280 --> 00:29:10,680
Speaker 2: and bring him out to the polls and take back

522
00:29:10,800 --> 00:29:14,040
Speaker 2: control of the country from awful old white men like

523
00:29:14,160 --> 00:29:17,640
Speaker 2: Donald Trump who are racist. And I think if she loses,

524
00:29:17,840 --> 00:29:19,760
Speaker 2: I really do Buck. I think they're going to have

525
00:29:19,840 --> 00:29:22,280
Speaker 2: to go back and recalibrate that stuff. I don't think so, man.

526
00:29:22,320 --> 00:29:24,640
Speaker 2: I think they just need a better minority politician. I

527
00:29:24,760 --> 00:29:28,360
Speaker 2: just think that might be true, But who is that person.

528
00:29:28,840 --> 00:29:31,160
Speaker 2: The one thing I think they certainly have done is

529
00:29:31,280 --> 00:29:35,320
Speaker 2: they underrated Barack Obama's talent as a minority politician or

530
00:29:35,360 --> 00:29:39,160
Speaker 2: as a politician period. Loo Corey Booker tried it. Kamala

531
00:29:39,240 --> 00:29:41,880
Speaker 2: Harris has tried it. There have been a bunch of

532
00:29:41,920 --> 00:29:44,600
Speaker 2: people who have tried to pick up the Barack Obama mantle,

533
00:29:45,040 --> 00:29:48,240
Speaker 2: and they're just not anywhere near as likable or charismatic

534
00:29:48,400 --> 00:29:51,160
Speaker 2: or in frankly, I think, intelligent as he was. And

535
00:29:51,720 --> 00:29:54,160
Speaker 2: I don't think Barack Obamas are easy to replace, just

536
00:29:54,200 --> 00:29:57,160
Speaker 2: like Ronald Reagan's are not easy to replace. It's hard

537
00:29:57,240 --> 00:30:03,600
Speaker 2: to find really talented politicians. Comparing Obama and Reagan. Hey,

538
00:30:03,760 --> 00:30:08,320
Speaker 2: we got calls coming in. In terms of the actual

539
00:30:08,440 --> 00:30:11,280
Speaker 2: appeal of the nation, I think there have been three

540
00:30:11,440 --> 00:30:17,000
Speaker 2: really yeah, three really talented politicians in the last forty years, Reagan, Clinton,

541
00:30:17,400 --> 00:30:24,520
Speaker 2: and Obama. Seriously, George the vote, but he was a

542
00:30:24,680 --> 00:30:30,000
Speaker 2: supremely talented politician. Oh that's what you know. I sus

543
00:30:30,200 --> 00:30:32,040
Speaker 2: was telling you in the nineties. No, no, no, no,

544
00:30:32,600 --> 00:30:35,600
Speaker 2: you have to he was a He would have won. Look,

545
00:30:35,640 --> 00:30:38,120
Speaker 2: here's a good example. There are three presidents in my

546
00:30:38,280 --> 00:30:40,880
Speaker 2: life that if they could have run for a third term,

547
00:30:41,000 --> 00:30:43,560
Speaker 2: they would have won. Reagan would have won in eighty eight.

548
00:30:44,400 --> 00:30:47,440
Speaker 2: Clinton would have won in two thousand. Obama would have

549
00:30:47,440 --> 00:30:48,200
Speaker 2: won in sixteen.

550
00:30:48,840 --> 00:30:52,000
Speaker 1: Clinton's win in two thousand leading into September eleventh, because

551
00:30:52,000 --> 00:30:53,840
Speaker 1: it would have happened on his watch, would have changed

552
00:30:53,880 --> 00:30:56,560
Speaker 1: the entire reality of the Clinton presidency. And also if

553
00:30:56,600 --> 00:30:58,720
Speaker 1: he had to deal with the stock market crash that came,

554
00:30:58,800 --> 00:31:01,480
Speaker 1: because the stock market boom from the Internet was really

555
00:31:01,520 --> 00:31:03,280
Speaker 1: what gave the Clinton economy the whole Oh my.

556
00:31:03,320 --> 00:31:06,800
Speaker 2: Gosh, it's amazing. But but but you, but you and

557
00:31:07,040 --> 00:31:09,840
Speaker 2: Bill good was people? Was he good at kissing baby?

558
00:31:09,920 --> 00:31:10,040
Speaker 3: Well?

559
00:31:10,080 --> 00:31:12,400
Speaker 2: I mean, you know, was he good at doing the

560
00:31:12,520 --> 00:31:14,880
Speaker 2: things that he did? I'm just you know, there's nobody

561
00:31:14,960 --> 00:31:17,800
Speaker 2: else you and I are have been alive basically for

562
00:31:17,920 --> 00:31:21,840
Speaker 2: every election since eighty There's only three presidents that could

563
00:31:21,920 --> 00:31:24,680
Speaker 2: have won a third term. I think since nineteen eighty

564
00:31:24,800 --> 00:31:27,600
Speaker 2: those are the three. I mean, I think, yeah, I

565
00:31:27,640 --> 00:31:29,320
Speaker 2: think Bill Clinton might have won a third term. But

566
00:31:29,360 --> 00:31:31,760
Speaker 2: I think that would have been that would have changed

567
00:31:31,800 --> 00:31:33,360
Speaker 2: the narrative in a lot of ways. But anyway, we

568
00:31:33,640 --> 00:31:37,040
Speaker 2: you know, a historical historical change up. We'll come back

569
00:31:37,080 --> 00:31:38,440
Speaker 2: to this with more of your calls here in just

570
00:31:38,520 --> 00:31:38,880
Speaker 2: a second.

571
00:31:39,440 --> 00:31:42,760
Speaker 1: You know, energy is necessary to get things done, and

572
00:31:43,120 --> 00:31:47,160
Speaker 1: you gotta have enough stuff, So this is real, actually claim.

573
00:31:47,200 --> 00:31:51,120
Speaker 2: We didn't talk about this, you know, NPR. There we

574
00:31:51,200 --> 00:31:54,480
Speaker 2: need to talk about the podcasted. They tested all the

575
00:31:54,680 --> 00:31:55,840
Speaker 2: NPR mail employees.

576
00:31:56,560 --> 00:32:02,880
Speaker 1: These guys make the NPR employee ease, make Stelter from

577
00:32:03,000 --> 00:32:07,120
Speaker 1: CNN look like Schwarzenegger when he was making the Koonan movies.

578
00:32:07,160 --> 00:32:09,960
Speaker 2: Okay, you just got prize you that was this is

579
00:32:10,040 --> 00:32:12,920
Speaker 2: the permit story. Honestly, he surprised me at all these

580
00:32:12,960 --> 00:32:13,800
Speaker 2: guys at that FPR.

581
00:32:13,960 --> 00:32:17,640
Speaker 1: Some of them have tested their dudes technically they identify

582
00:32:17,720 --> 00:32:20,440
Speaker 1: I think as dudes too. They've got testosterone in like

583
00:32:20,520 --> 00:32:24,160
Speaker 1: the double digits the highest guy and they're like our age.

584
00:32:24,200 --> 00:32:27,720
Speaker 2: They're not old there, they weren't how low they're testosterone.

585
00:32:27,800 --> 00:32:31,120
Speaker 2: The NPR staff has like an average testosteron level male

586
00:32:31,360 --> 00:32:33,920
Speaker 2: staff has like an average testostero level for all in

587
00:32:34,040 --> 00:32:36,680
Speaker 2: of like one hundred and twenty or something, which is

588
00:32:36,800 --> 00:32:39,760
Speaker 2: I mean normal is three hundred to one thousand. Anyway,

589
00:32:40,040 --> 00:32:43,600
Speaker 2: the charts lacking in testa like the legit beta male.

590
00:32:44,560 --> 00:32:46,400
Speaker 2: So if you don't want to be a member of

591
00:32:46,440 --> 00:32:48,920
Speaker 2: the NPR staff, okay, if you feel like you need

592
00:32:48,920 --> 00:32:51,000
Speaker 2: a little extra juice, a little extra something to get

593
00:32:51,040 --> 00:32:52,640
Speaker 2: through the day, because look as we got all their

594
00:32:52,680 --> 00:32:54,320
Speaker 2: t levels do drop and things canna happen.

595
00:32:54,800 --> 00:32:58,760
Speaker 1: Call our friends at Chalk. Check out the Male Vitality Stack,

596
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597
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Speaker 1: in studies to replenish twenty percent of diminished destosterone a

598
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599
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600
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601
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602
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603
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Speaker 1: their website check it out for yourself Chalk dot com,

604
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Speaker 1: c choq dot com. Use my name Buck for a

605
00:33:27,200 --> 00:33:29,160
Speaker 1: massive discount. You don't want to be one of these

606
00:33:29,280 --> 00:33:32,719
Speaker 1: NPR guys who's like, oh guys, my testosteroid level is fifteen.

607
00:33:33,160 --> 00:33:36,320
Speaker 1: You should check out Chalk. You can also call fifty

608
00:33:36,840 --> 00:33:42,200
Speaker 1: Chalk three thousand, caller, text five zero Chalk three thousand

609
00:33:42,320 --> 00:33:43,760
Speaker 1: and say Clay and Buck sent me.

610
00:33:44,720 --> 00:33:46,920
Speaker 2: Once more Clay and Buck that you didn't you here

611
00:33:47,000 --> 00:33:49,960
Speaker 2: on the show. Get podcast extras in the Clay and

612
00:33:50,040 --> 00:33:53,160
Speaker 2: Buck podcast feed, find it on the iheartapp or wherever

613
00:33:53,240 --> 00:33:56,800
Speaker 2: you get your podcasts. We're gonna get into this Springfield, Ohio,

614
00:33:57,600 --> 00:34:00,520
Speaker 2: cats getting eat ducks, get into taken out of the

615
00:34:00,600 --> 00:34:03,480
Speaker 2: parks and having their heads chopped off. All of the

616
00:34:03,560 --> 00:34:06,720
Speaker 2: illegal immigrants that have come into the country. We're going

617
00:34:06,760 --> 00:34:08,319
Speaker 2: to get into this at the top of the next hour.

618
00:34:08,480 --> 00:34:11,960
Speaker 2: And if you are in the Springfield, Ohio area, we

619
00:34:12,080 --> 00:34:13,960
Speaker 2: want to take your calls. Eight hundred and two eight

620
00:34:14,040 --> 00:34:16,960
Speaker 2: two two eight a two. What are you actually seeing there?

621
00:34:17,520 --> 00:34:21,480
Speaker 2: I just want to point out they're actually not even illegals,

622
00:34:22,120 --> 00:34:28,960
Speaker 2: They're migrants that the Biden Harris administration just decided without

623
00:34:29,040 --> 00:34:33,360
Speaker 2: any laterally, just use their power unilaterally. You get to

624
00:34:33,480 --> 00:34:36,680
Speaker 2: stay in the country. If you get here, you cannot

625
00:34:36,719 --> 00:34:39,480
Speaker 2: be deported, which obviously means people will just come here. Right,

626
00:34:40,400 --> 00:34:41,000
Speaker 2: we will dive in.

627
00:34:41,080 --> 00:34:41,880
Speaker 1: Is we got it? Do you want to take this

628
00:34:42,000 --> 00:34:45,760
Speaker 1: call from Yeah, let's take it. Neil in Findlay, Ohio.

629
00:34:45,920 --> 00:34:48,719
Speaker 1: You're close to Springfield, Ohio. What are you hearing about?

630
00:34:48,719 --> 00:34:49,200
Speaker 2: What's going on?

631
00:34:50,920 --> 00:34:53,160
Speaker 3: Well, we hear that going on down there, but we

632
00:34:53,280 --> 00:34:56,480
Speaker 3: also have it going on here. Nobody talks about it.

633
00:34:57,040 --> 00:34:57,960
Speaker 2: What's going on? We have?

634
00:34:58,640 --> 00:35:02,880
Speaker 3: We have thousands of patients here in town. They've taken

635
00:35:02,960 --> 00:35:07,800
Speaker 3: over multiple hotels, They're everywhere. Everybody they're causing problems for

636
00:35:07,840 --> 00:35:11,360
Speaker 3: a lot of people, causing problems at the grocery stores,

637
00:35:11,400 --> 00:35:14,960
Speaker 3: the walmarts, the hospital, everything.

638
00:35:15,239 --> 00:35:16,480
Speaker 2: But are people noticing it?

639
00:35:16,520 --> 00:35:17,800
Speaker 1: In one of the things, there's all these people that

640
00:35:17,880 --> 00:35:19,919
Speaker 1: have showed up at like a town council or city

641
00:35:20,000 --> 00:35:24,560
Speaker 1: council meeting. They're saying, you know, overcrowded, public services, police

642
00:35:24,640 --> 00:35:27,040
Speaker 1: overwhelmed just with the day to day calls of dealing

643
00:35:27,120 --> 00:35:28,279
Speaker 1: with this. You're having the same thing.

644
00:35:29,360 --> 00:35:31,320
Speaker 3: Yeah, a lot of that as far as what the

645
00:35:31,360 --> 00:35:34,760
Speaker 3: police have witnessed that. A lot of that is hidden

646
00:35:34,760 --> 00:35:37,120
Speaker 3: from us, so we don't hear that. But we haven't

647
00:35:37,160 --> 00:35:39,120
Speaker 3: heard they're bringing more of them here, but they're saying

648
00:35:39,160 --> 00:35:42,400
Speaker 3: they're bringing them here of course to work, but they are,

649
00:35:43,160 --> 00:35:44,200
Speaker 3: They're everywhere.

650
00:35:44,480 --> 00:35:46,759
Speaker 2: Not a lot of work. We're going to play a

651
00:35:46,800 --> 00:35:49,480
Speaker 2: bunch of the audio from the Springfield area for what

652
00:35:49,520 --> 00:35:52,920
Speaker 2: they're dealing with. I was just laughing, Buck because the

653
00:35:53,080 --> 00:35:58,160
Speaker 2: memes of Trump and cats right now, Trump's saving cats

654
00:35:58,200 --> 00:36:02,240
Speaker 2: and geese. There is a picture of Trump surrounded by cats.

655
00:36:02,840 --> 00:36:05,920
Speaker 2: It says, I am your voice, I am your warrior,

656
00:36:06,239 --> 00:36:10,920
Speaker 2: I am your justice, I am your retribution, And it's

657
00:36:11,080 --> 00:36:12,080
Speaker 2: just Trump's speaking.

658
00:36:12,320 --> 00:36:16,439
Speaker 1: Everyone knows why I mean this is I mean, and look,

659
00:36:17,000 --> 00:36:18,880
Speaker 1: you guys know how I feel about my dog and

660
00:36:19,000 --> 00:36:22,040
Speaker 1: dogs and I have total respect the cat. Cat lovers

661
00:36:22,120 --> 00:36:23,920
Speaker 1: have the same relationship with their cats.

662
00:36:25,160 --> 00:36:25,359
Speaker 2: I mean.

663
00:36:25,400 --> 00:36:27,760
Speaker 1: The reports are that some of these migrants are catching

664
00:36:27,800 --> 00:36:29,880
Speaker 1: people's cats and eating.

665
00:36:29,719 --> 00:36:33,319
Speaker 2: Them, skinning them and eating them like as a meal.

666
00:36:34,960 --> 00:36:37,880
Speaker 2: They had a woman arrested. They had a woman arrested

667
00:36:38,000 --> 00:36:40,440
Speaker 2: for taking a house cat and trying to eat it.

668
00:36:41,080 --> 00:36:43,400
Speaker 2: I can't believe this is the real world we're in.

669
00:36:43,560 --> 00:36:46,239
Speaker 2: We're gonna talk about this and more when we come

670
00:36:46,320 --> 00:36:48,080
Speaker 2: back out Number two Clay and buff