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Speaker 1: Welcome everybody. Monday edition of The Clay Travis n Bucks

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Speaker 1: Sexton Show gets going right now. It is a big

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Speaker 1: week everyone. We are excited to be here with you

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Speaker 1: talking about it. Debate night tomorrow night. A lot of

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Speaker 1: preparation talks, strategizing, tactical analysis, and all the rest of

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Speaker 1: it going on today and tomorrow. We will dive into

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Speaker 1: that for sure. Also on x elon Musk social media

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Speaker 1: platform that is I think going to play an increasingly

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Speaker 1: large role in this election as people get closer and

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Speaker 1: closer to casting their votes because the media can't shut

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Speaker 1: down narratives. The situation of Springfield, Ohio, which according to

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Speaker 1: reports had about forty eight or fifty thousand residents and

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Speaker 1: has had twenty thousand Haitian Lee's essentially and people that

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Speaker 1: are brought here under an emergency order but just allowed

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Speaker 1: into the country, no vetting, no nothing, And there's a

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Speaker 1: lot of stuff going around social media about just the

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Speaker 1: strain on public resources and what this means for the town,

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Speaker 1: the disorder, the crimes that are being committed, all of it.

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Speaker 1: So we'll get into that. And there are allegations that

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Speaker 1: are also flying around about some of the migrants killing

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Speaker 1: ducks in public parks. I mean, this is really is

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Speaker 1: 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 killing duck, Like they go

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Speaker 2: up to it and chop its head off and they

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Speaker 2: start roasting it in the park with like people pushing

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Speaker 2: strollers by and stuff.

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Speaker 1: This is what's being said right now. We'll get into this.

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Speaker 1: There's video, there's people reporting this. We'll discuss this because

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Speaker 1: it brings up once again, not only are migrants affecting

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Speaker 1: cities like New York, Chicago, et cetera, but in small cities,

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Speaker 1: either the government designs or perhaps the migrants aside themselves

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Speaker 1: to congregate in large numbers and it puts a tremendous

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Speaker 1: resource burden on that city such that Remember Democrats are

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Speaker 1: now pretending to be tough on the border. Hey, anyone

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Speaker 1: who wants to reflexively, you know, shoot down or disagree

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

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Speaker 1: Harris 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. You know, it changes every day.

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Speaker 1: Who knows. Clay, let's start with this though. Now you

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

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

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Speaker 1: Trump and Harris neck and neck at after summer upheaval,

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Speaker 1: Times Siena poll finds Now, I think this is a

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Speaker 1: very interesting headline because what it actually shows is that

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Speaker 1: Donald Trump, in terms of the national vote right now, right,

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Speaker 1: if the twenty twenty four presidential election we're held today,

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

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Speaker 1: Trump forty seven percent. Kamala Harris. We can get into

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Speaker 1: and I know you want to, so we will in

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Speaker 1: a second. Here more of a deep dive into these numbers.

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Speaker 1: But Clay, the Kamala campaign was all premised on creating

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Speaker 1: this false narrative and hoping the sort of the air

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Speaker 1: leaves that balloon slowly enough that they could fool people

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Speaker 1: in this election. I think this balloon's running out of

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Speaker 1: air or really fast. I think people are seeing what's

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Speaker 1: going on the Democrats are in a quiet panic. Yes,

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Speaker 1: we've been telling people for the last couple of weeks.

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Speaker 1: You were on it before I was, but that the

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Speaker 1: data had been reflecting that the Kamala surge, the sugar high,

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Speaker 1: the honeymoon of Oh look, Joe Biden, ancient dementia riddled

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Speaker 1: president is no longer our nominee. Now we've got Kamala Harrison.

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Speaker 1: It's a brat summer, and there's joy, and there's happiness.

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Speaker 1: It's all gone. She didn't get a boost from the

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Speaker 1: convention because I think she had gotten the boost from

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Speaker 1: just merely not being Biden. The RFK junior TULSEI Gabbert

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Speaker 1: editions I think have been very important for Trump in

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Speaker 1: terms of expanding the base. And this is important because

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Speaker 1: Trump isn't just doing well in battleground states, which we

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Speaker 1: knew was going to be the case, but he's also leading,

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Speaker 1: according to the New York Times, in potentially the actual

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Speaker 1: popular vote, and given that the Midwest in particular is

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Speaker 1: a couple of points behind where the popular vote is

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Speaker 1: because Democrats tend to run up margins in California and

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Speaker 1: historically places like New York and Massachusetts and whatnot, the

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Speaker 1: Northeast and California provide much of the bulwark to the

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Speaker 1: Democrat Party when it comes to the national vote. If

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Speaker 1: Trump wins the popular vote, this election's not going to

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Speaker 1: be close. And there have been signs we talked about

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Speaker 1: last week. Kamala Harris deciding to begin her campaign after

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Speaker 1: Labor Day in New Hampshire should have set up a

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Speaker 1: little bit of a warning sign to many out there

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Speaker 1: about what her internal polls were showing, because Biden won

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Speaker 1: New Hampshire by seven points in twenty twenty, and New

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Speaker 1: Hampshire is one of the most reliable states out there

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Speaker 1: because they essentially require on election day voting. There isn't

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Speaker 1: very much absentee voting in New Hampshire. Everybody has to

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Speaker 1: show up in person, present ID. It's a good barometer

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Speaker 1: for how the nation will vote, and it's very secure election.

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Speaker 1: We talked about buck Virginia. The fact that there have

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Speaker 1: continued to be polls coming out showing Kamala just a

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Speaker 1: couple of points up in Virginia, a state that Joe

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Speaker 1: Biden won by ten. There are lots of ominous signs

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Speaker 1: out there, and with the debate happening tomorrow, I think

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Speaker 1: Trump needs to be smart about how he behaves in

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Speaker 1: the debate. I think, and I'm curious how you would

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Speaker 1: analyze this. The way that you perform in a debate

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Speaker 1: if you're winning is different than if you're behind. If

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Speaker 1: you're winning, you want to come out show confidence, be

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Speaker 1: above the fray to a large extent, show that you

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Speaker 1: are presidential. If you're losing, you need to drag somebody

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Speaker 1: down into the mud with you. You need to make

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Speaker 1: it messy often times because you're trying to make up ground. Trump,

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Speaker 1: to me, buck is the equivalent we just had the

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Speaker 1: NFL start. Trump has the ball and he's winning. When

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Speaker 1: you have the ball and you're winning, you just run

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Speaker 1: the off tackle play. He's economy, border crime, He's got

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Speaker 1: the issues on his side, He's got the clock on

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Speaker 1: his side. He doesn't need to upset the trajectory of

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Speaker 1: this race. He just needs to bring it home, baby,

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Speaker 1: because everything is working in his favor right now. I

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Speaker 1: also think it's funny that the Kamala campaign has complained

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Speaker 1: about the muting of mikes, which was an agreed to rule.

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Speaker 1: I do think that that is going to be to

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Speaker 1: Trump's benefit because Kamala posing as Oh I'm a woman

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Speaker 1: and he's interrupting me because he's a bully or whatever. Yes,

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Speaker 1: that's her most obvious play. And I know that for

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Speaker 1: people who pay attention to politics and know what's going on,

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Speaker 1: who can care about that. There'll be people who tune

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Speaker 1: in who and this isn't I'm not disparaging anybody who's

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Speaker 1: in this category. You know, they're just trying to pay

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Speaker 1: their bills and live their lives, and they don't really

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

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Speaker 1: strong opinions. And those kinds of optics or vibes or

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Speaker 1: whatever you want to say, those those perceptions of trump deportment,

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Speaker 1: of Trump treatment of his opponent could be meaningful. I

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Speaker 1: think that's pretty much off the table. I totally agree

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Speaker 1: that if Trump runs this thing as though he is

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Speaker 1: he's the elder statesman, which he is, the elder statesman

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Speaker 1: in the room, and the guy who is serious and

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Speaker 1: wants to get back to business, here best possible thing.

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Speaker 1: I also think that Trump liked all the praise that

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

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

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Speaker 1: But he also likes to win, I think, more than

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

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

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Speaker 1: way 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 play to

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

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

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Speaker 1: thought Kamala according to the five thirty eight twenty eight

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Speaker 1: what is it? Five to twenty eight? He used to

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Speaker 1: have five thirty eight now he has the thirty independent site.

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Speaker 1: Five thirty eight is still owned by ABC News. I think.

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Speaker 1: But he's got I think, And we had him on

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Speaker 1: the show a couple of weeks ago. He's got the

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Speaker 1: most reliable, I think, analytical based analysis of the presidential

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Speaker 1: polling that is out there. And to your point, Buck,

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Speaker 1: it is very favorable to Trump. Right now. He's got

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Speaker 1: Trump winning now over a sixty percent chance of Trump winning,

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Speaker 1: and just a couple of weeks ago he had Kamala winning.

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Speaker 1: So something has changed. Look we've told you this for

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Speaker 1: a while now. And this is why that initial rush

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Speaker 1: from oh it's not Biden, and the exhilaration and the

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Speaker 1: media all standing around together in Unison in a way

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Speaker 1: that was truly Pravda esque. I mean it was Soviet

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Speaker 1: in the way that they were all, Oh, it's amazing

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Speaker 1: Kamala Harris, he's so great. They've been hiding her from

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Speaker 1: the public. We all see what's going on here. She's

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Speaker 1: done one interview in what forty days or something like this.

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Speaker 1: I mean, it's it's blaringly, glaringly however you want to say,

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Speaker 1: it's very obvious that Kamala Harris is trying to pretend

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Speaker 1: she's something she's not, just so she can win the

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Speaker 1: election and she can go back to being a San

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Speaker 1: Francisco progressive. Okay, that's what's happening, and I think people

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Speaker 1: are catching on a little bit. And also she's just

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Speaker 1: not good at the blocking and tackling, if you will,

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Speaker 1: of yeah, presidential campaigning, because she's also not doing it right.

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

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Speaker 1: at it that she's not doing it, did you see buck,

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Speaker 1: And we can dive into this a little bit too.

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Speaker 1: Did you see that they went after college football fans

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Speaker 1: in the Midwest with banners to fly over the stadiums

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Speaker 1: during the Big Ten games, including one that said Jade

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Speaker 1: Vance loves Ohio State flying over during the Michigan Texas game.

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Speaker 1: They know the bids and that's actually pretty funny. I

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Speaker 1: just that's actually I think it's pretty funny. But I

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Speaker 1: actually think it is evidence that they are really kind

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Speaker 1: of panicked because I'm telling you, I know these people.

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Speaker 1: They show up for Penn State games, they show up

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Speaker 1: for Michigan, Michigan State games, Wisconsin. I'm gonna be in

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Speaker 1: Wisconsin this weekend. I cannot wait. I'm gonna be at

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Speaker 1: the Alabama Wisconsin game in Madison for with my family. Buck.

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Speaker 1: They are panicked because the older, white male and female

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Speaker 1: voter that they need to rely on to be able

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Speaker 1: to turn out that Biden had appeal to she doesn't

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Speaker 1: have the appeal to them. And they knew that, and

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Speaker 1: they went and grabbed Tim Walls, Who's an awkward, not reflective,

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Speaker 1: normal dude.

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Speaker 3: Right.

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Speaker 1: They tried anytime you try to sell somebody as oh,

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Speaker 1: the middle part of the country is gonna like him.

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Speaker 1: I live in the middle part of the country. I

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Speaker 1: look around and I say, we feel like we're being

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Speaker 1: sort of mocked and ridiculed by you trying to claim

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Speaker 1: see there's people like us who like you too, telling

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Speaker 1: you they're starting to panic in the Midwest, and she

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Speaker 1: was already doing poorly in Arizona. She's not winning. The

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Speaker 1: one thing I feel very confident about Buck is I

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Speaker 1: know the South. She's not winning North Carolina, she's not

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Speaker 1: winning Georgia. And if she doesn't win North Carolina and Georgia,

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Speaker 1: and I really don't think she is, she is in

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Speaker 1: a tough spot. It means if he wins Pennsylvania, Trump,

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Speaker 1: it doesn't even matter what happens in Michigan, Wisconsin, Nevada,

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Speaker 1: or Arizona. We want to win all those states. But

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Speaker 1: if she wins, if he wins North Carolina and Georgia,

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Speaker 1: the map is almost impossible for her at that point. Also,

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

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Speaker 1: your thoughts on how you think the debate's going to

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Speaker 1: go tomorrow. So the lines are open eight hundred and

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Speaker 1: two eight two eight eight two. You know there's not

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Speaker 1: buck sponsored by Preborn. You ain't imagining it. The world

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Speaker 1: has gone insane. We claim your sanity with Clay and Fun.

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Speaker 1: Find them on the free iHeartRadio app or wherever you

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Speaker 1: get your podcasts. Welcome back into Clay and Buck. So

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

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Speaker 1: the debate. We're gonna get into more of that. We've

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Speaker 1: got our I'm trying to think of who is Kosh

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Speaker 1: Ptel one thirty and Lisa Booth two thirty coming down

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Speaker 1: the pike in the next couple of hours to be

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Speaker 1: it didn't need to stretch. He's out there on the field.

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

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Speaker 1: going to see is unlikely to have the kind of

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Speaker 1: a well it's not gonna have the effect that it

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Speaker 1: had against Biden for sure, but it's an opportunity if

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Speaker 1: Trump shows in my mind, Clay, if Trump shows up

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Speaker 1: ahead after that poll another point or two. It's feeling

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Speaker 1: very good. And by the way, please, I know that

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Speaker 1: I get more messages now about well, what about the cheating,

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

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Speaker 1: they beat us this time, we deserve to lose if

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Speaker 1: we don't catch it and stop it. That's how that's

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

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

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Speaker 1: they cheat and we don't catch it and they get

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Speaker 1: away with it, we deserve to lose. We've got we

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Speaker 1: talked to Chairman Wattley of the R and C. He

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Speaker 1: said they're all over this. He said, they've got an

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Speaker 1: army of pole watchers. He said, they've got an army

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Speaker 1: of lawyers. We have every you know you know what

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Speaker 1: I mean, like fool me once, as Bush said, can't

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Speaker 1: get fooled again. And I would encourage all of you

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Speaker 1: to do what my wife Laura did, who was fired

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Speaker 1: up about election security. She is volunteering in our local

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Speaker 1: poll and I'll be working there. Yeah. She spent yeah

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Speaker 1: at she'll be there on election day. She got trained,

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Speaker 1: she is ready to go. Uh. And also when we

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Speaker 1: had what Lee on at the r n C, he

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Speaker 1: told all of you, we appreciate the emails we really

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Speaker 1: do to us saying hey, you need to let people

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Speaker 1: know they're gonna cheat, they're gonna try to rig the election,

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Speaker 1: all these things. We appreciate it. But what would be

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Speaker 1: better than you emailing Buck and me is if you

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Speaker 1: out there could make the decision to volunteer yourself to

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Speaker 1: help with election security. And the r n C is

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Speaker 1: signing people up left and right, particularly if you have

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Speaker 1: the time. Some of you are lawyers and you want

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Speaker 1: to be poll watchers. They are desperately asking for you

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Speaker 1: to be involved. So if you truly care about the

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Speaker 1: sanctity and security of the election, the best thing you

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Speaker 1: can do is give your labor over to the RNC

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Speaker 1: to help ensure we have fair and faithful and secure elections.

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Speaker 1: I'm just gonna say it. I mean, the Trump team,

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Speaker 1: legally speaking, was outmaneuvered by the twenty twenty COVID stuff. Well,

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Speaker 1: we don't have COVID now, okay, But the way that

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Speaker 1: the laws were changed or even broken, I would argue

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

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

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

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

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Speaker 1: part and please don't tell me, but what about this

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

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Speaker 1: talk about this right now, but one 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 gonna get a judge to be like, well, people

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

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

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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. Yeah, and let's

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Speaker 1: expand the number of states where we are putting them

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Speaker 1: in play. This is why I mentioned New Hampshire and Virginia.

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Speaker 1: Everybody focused on Michigan, Wisconsin, Pennsylvania, deservedly so, Nevada, Arizona, Georgia,

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Speaker 1: and North Carolina. But keeping a lot of states within

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Speaker 1: a close margin makes it really hard. The great analogy,

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Speaker 1: or the great sort of metaphor for this, which you've

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Speaker 1: seen in cartoons forever, is the guy who's trying to

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Speaker 1: plug the dam that starts to pop with a bunch

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Speaker 1: of different holes in it, you know, the cartoon, that

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Speaker 1: is what needs to happen in twenty twenty four, and

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Speaker 1: we are now the race itself. Even if you talk

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Speaker 1: to the most diehard Democrat, it's all on Democrat Party.

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Speaker 1: Twenty twenty twenty one states, with the exception of North Carolina.

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Speaker 1: The other six agreed upon battlegrounds, and we could expand

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Speaker 1: it to again New Hampshire and to Virginia. But all

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Speaker 1: of the battlegrounds are Democrats having to defend. Right now,

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Speaker 1: North Carolina. I feel like a lot of you listening

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Speaker 1: in North Carolina is going to go red. Got to

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Speaker 1: show up and vote, got to do every But Trump

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Speaker 1: won North Carolina in twenty sixteen, he won North Carolina

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Speaker 1: in twenty twenty. I don't think that suddenly Kamala Harris

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Speaker 1: is gonna win in twenty twenty four. A lot of

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Speaker 1: work to be done. But that's the only state buck

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Speaker 1: that they're even spending money on. That is a quote

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Speaker 1: unquote red state from twenty twenty. Every other battleground state,

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Speaker 1: blue state that Biden won that Kamala is trying to defend,

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Speaker 1: they're on their back heel. We just got to pour

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Speaker 1: on more steam here and That's what I think the

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Speaker 1: elect the debate tomorrow can do. If Trump shows up

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Speaker 1: and delivers a solid performance. We'll get into this more

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Speaker 1: when it happens, But I just have been thinking about

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Speaker 1: it a bunch already. If Trump wins this debate tomorrow,

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Speaker 1: I don't think he should I don't think he should

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Speaker 1: debate again because Kamala's going You're gonna know that he

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Speaker 1: has won because of not only with the polls show,

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Speaker 1: but then the campaign, the Kamala campaign will be open

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Speaker 1: to suddenly. She's going to show up desperate, begging for

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Speaker 1: another opportunity to change the trajectory. And if I'm Trump

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Speaker 1: at that point, I just said, no, why we did

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Speaker 1: this once? You know that's all you agreed to, and

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Speaker 1: you know I'm not playing this game anymore. And she

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Speaker 1: can go around and wine because the whining at that

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Speaker 1: point would be obvious to everybody. Is just a function

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Speaker 1: of she knows she's losing. I mean, here's the neck

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Speaker 1: and neck narrative and the oh it's so close. Two

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Speaker 1: weeks ago it was Kamala's winning in every swing state. Haha,

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Speaker 1: Kamala is going to win Comma. You know that was

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Speaker 1: the story from the media. The only reason they're saying

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Speaker 1: it's neck and neck now is because they want everyone

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Speaker 1: to think it's very very close and not. Oh so,

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Speaker 1: Kamala is losing ground and Trump is gaining ground with

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Speaker 1: each passing day, which is what is actually happening. Did

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Speaker 1: you see the panic though, when the New York Times

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Speaker 1: poll came out because they knew they know the New

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Speaker 1: York Times is not rigged in favor of Trump. The

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Speaker 1: left wing panic when they came out yesterday and showed

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Speaker 1: Trump up forty eight forty seven, up two points in

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Speaker 1: a multi candidate field, by the way, was legion. They

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Speaker 1: are nervous, they're afraid, they know that Kamala has tried

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Speaker 1: to hide. They've spent hundreds of millions of dollars trying

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Speaker 1: to move the needle. And this is where to your point, Buck,

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Speaker 1: I think they're so challenged and why an October surprise

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Speaker 1: would be so difficult. Everybody knows what they think about

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Speaker 1: Donald Trump. Everybody knows. You've had since twenty fifteen to

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Speaker 1: decide where you are and what you think about Donald Trump.

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Speaker 1: And to me, the most interesting part of the New

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Speaker 1: York Times poll, Buck, was that Trump is at all

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Speaker 1: time favorability highs in the New York Times poll. They

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Speaker 1: have spent nine years attacking him with everything they've got.

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Speaker 1: They tried to put him in prison in New York,

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Speaker 1: South Florida, d C. Georgia. They tried to bankrupt him,

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Speaker 1: They charged him with inappropriate behavior from over twenty years ago.

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Speaker 1: They changed the statute of limitations to allow these lawsuits

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Speaker 1: to even exist. And after all that buck, after billions

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Speaker 1: of dollars they have spent, Trump is more popular as

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Speaker 1: we are talking to you right now than he ever

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Speaker 1: has been in his entire political career. And to your point,

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Speaker 1: based on all the polling, he's in better shape right

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Speaker 1: now than he ever was in twenty sixteen or twenty twenty.

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Speaker 1: As we get ready to start voting. One of my

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Speaker 1: biggest concerns with the way that they have waged the

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Speaker 1: lawfair campaign against Trump has been all along the precedent

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Speaker 1: that it sets, and everyone has talked about the crossing

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Speaker 1: of the rubicon because it is something that we have

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Speaker 1: never seen before. I truly mean this to me. The

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Speaker 1: only way to even try to put that genie back

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Speaker 1: in the bottle is for Donald Trump to win this election,

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Speaker 1: and therefore for it to be a clear rejection of

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Speaker 1: the lawfair tactic to try to win a presidential election,

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Speaker 1: to have left wing Democrat prosecutors and a left wing

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Speaker 1: Democrat judge and a left wing Democrat jury come up

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Speaker 1: with some just absurd, absurd case and criminal allegation, all

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Speaker 1: this stuff. If Donald Trump loses, it's going to be

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Speaker 1: hard not to think that this won't be replicated in

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Speaker 1: the future. If Donald Trump wins, I think it will

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Speaker 1: at least be something of a rebuke to the lawfair narrative,

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Speaker 1: which is really important. Honestly goes beyond even just Trump

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Speaker 1: in this election. It goes to the future of the country.

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Speaker 1: So I think it also buck to your point, not

430
00:24:38,600 --> 00:24:42,600
Speaker 1: just lawfair. I think if Trump wins, the entire concept

431
00:24:42,600 --> 00:24:44,800
Speaker 1: of identity politics is going to have to get re

432
00:24:44,880 --> 00:24:48,440
Speaker 1: examined by Kamala Harris because she is the ultimate DEI

433
00:24:48,480 --> 00:24:53,280
Speaker 1: candidate black woman that supposedly is going to unite all

434
00:24:53,359 --> 00:24:56,359
Speaker 1: the different people of various ethnic groups in America and

435
00:24:56,400 --> 00:24:59,120
Speaker 1: bring them out to the polls and take back control

436
00:24:59,200 --> 00:25:02,439
Speaker 1: of the country for awful old white men like Donald

437
00:25:02,520 --> 00:25:05,640
Speaker 1: Trump who are racist. And I think if she loses,

438
00:25:05,800 --> 00:25:07,840
Speaker 1: I really do buck. I think they're gonna have to

439
00:25:07,880 --> 00:25:10,239
Speaker 1: go back and recalibrate that, suf. I don't think so, man.

440
00:25:10,280 --> 00:25:12,679
Speaker 1: I think they just need a better minority politician. I

441
00:25:12,720 --> 00:25:15,879
Speaker 1: just think that that might be true. But who is

442
00:25:15,920 --> 00:25:18,399
Speaker 1: that person. The one thing I think they certainly have

443
00:25:18,480 --> 00:25:22,560
Speaker 1: done is they underrated Barack Obama's talent as a minority

444
00:25:22,600 --> 00:25:26,679
Speaker 1: politician or as a politician period. But Corey Booker tried it,

445
00:25:26,760 --> 00:25:29,760
Speaker 1: Kamala Harris has tried it. There have been a bunch

446
00:25:29,800 --> 00:25:31,639
Speaker 1: of people who have tried to pick up the Barack

447
00:25:31,680 --> 00:25:35,200
Speaker 1: Obama mantle, and they're just not anywhere near as likable

448
00:25:35,400 --> 00:25:38,520
Speaker 1: or charismatic or in frankly, I think, intelligent as he was.

449
00:25:39,080 --> 00:25:41,960
Speaker 1: And I don't think Barack Obamas are easy to replace,

450
00:25:42,080 --> 00:25:44,880
Speaker 1: just like Ronald Reagan's are not easy to replace. It's

451
00:25:44,920 --> 00:25:51,600
Speaker 1: hard to find really talented politicians comparing Obama and Reagan. Hey,

452
00:25:51,680 --> 00:25:56,359
Speaker 1: we got calls coming in. In terms of the actual

453
00:25:56,400 --> 00:25:59,680
Speaker 1: appeal of the nation, I think there have been three, really,

454
00:26:00,400 --> 00:26:05,000
Speaker 1: three really talented politicians in the last forty years, Reagan, Clinton,

455
00:26:05,359 --> 00:26:10,800
Speaker 1: and Obama. Seriously, George W. Wood should win the vote,

456
00:26:11,920 --> 00:26:16,160
Speaker 1: but he was a supremely talented politician. Oh that's what

457
00:26:16,520 --> 00:26:20,080
Speaker 1: you know. I News was telling you in the nineties. No, no, no, no,

458
00:26:20,560 --> 00:26:23,560
Speaker 1: you have to he was a he would have won. Look,

459
00:26:23,600 --> 00:26:26,119
Speaker 1: here's a good example. There are three presidents in my

460
00:26:26,240 --> 00:26:28,880
Speaker 1: life that if they could have run for a third term,

461
00:26:28,960 --> 00:26:31,600
Speaker 1: they would have won. Reagan would have won in eighty eight.

462
00:26:32,320 --> 00:26:35,399
Speaker 1: Clinton would have won in two thousand. Obama would have

463
00:26:35,400 --> 00:26:38,800
Speaker 1: won in sixteen. Clinton's win in two thousand leading into

464
00:26:38,880 --> 00:26:41,120
Speaker 1: September eleventh, because it would have happened on his watch,

465
00:26:41,160 --> 00:26:43,960
Speaker 1: would have changed the entire reality of the Clinton presidency.

466
00:26:44,000 --> 00:26:45,600
Speaker 1: And also if he had to deal with the stock

467
00:26:45,640 --> 00:26:48,239
Speaker 1: market crash that came because the stock market boom from

468
00:26:48,280 --> 00:26:50,760
Speaker 1: the Internet was really what gave the Clinton economy the

469
00:26:50,800 --> 00:26:53,840
Speaker 1: whole Oh my gosh, it's amazing. But but but you,

470
00:26:53,960 --> 00:26:56,960
Speaker 1: but you and Bill good was people? Was he good

471
00:26:56,960 --> 00:26:57,840
Speaker 1: at kissing baby?

472
00:26:57,880 --> 00:26:58,000
Speaker 3: Well?

473
00:26:58,040 --> 00:27:00,439
Speaker 1: I mean, you know, was he good at doing the

474
00:27:00,480 --> 00:27:03,120
Speaker 1: things that he did? I'm just you know, there's nobody else.

475
00:27:03,160 --> 00:27:06,120
Speaker 1: You and I are have been alive basically for every

476
00:27:06,160 --> 00:27:09,960
Speaker 1: election since eighty There's only three presidents that could have

477
00:27:10,080 --> 00:27:12,960
Speaker 1: won a third term. I think since nineteen eighty those

478
00:27:12,960 --> 00:27:15,760
Speaker 1: are the three. I mean, I think, yeah, I think

479
00:27:15,760 --> 00:27:17,399
Speaker 1: Bill Clinton might have won a third term, but I

480
00:27:17,400 --> 00:27:19,800
Speaker 1: think that would have been that would have changed the

481
00:27:19,840 --> 00:27:21,760
Speaker 1: narrative in a lot of ways. But anyway, we you know,

482
00:27:21,960 --> 00:27:25,199
Speaker 1: a historical historical change up. We'll come back to this

483
00:27:25,280 --> 00:27:26,879
Speaker 1: with more of your calls here in just a second.

484
00:27:27,400 --> 00:27:30,960
Speaker 1: You know, energy is necessary to get things done, and

485
00:27:31,080 --> 00:27:34,000
Speaker 1: you gotta have enough stuff. So this is real. Actually

486
00:27:34,840 --> 00:27:38,919
Speaker 1: claim we didn't talk about this, you know NPR there,

487
00:27:39,040 --> 00:27:42,320
Speaker 1: we need to talk about it podcasted. They tested all

488
00:27:42,400 --> 00:27:48,200
Speaker 1: the NPR male employees. These guys make the NPR employees

489
00:27:49,160 --> 00:27:53,720
Speaker 1: make Stelter from CNN look like Schwarzenegger when he was

490
00:27:53,760 --> 00:27:57,800
Speaker 1: making the Koonan movies. Okay, prize you that was this

491
00:27:57,880 --> 00:28:00,880
Speaker 1: is the permanent story. Honestly surprised me at all these

492
00:28:00,920 --> 00:28:03,320
Speaker 1: guys at at PR. Some of them have tested their

493
00:28:03,359 --> 00:28:07,080
Speaker 1: dudes technically they identify I think as dudes too. They've

494
00:28:07,080 --> 00:28:10,880
Speaker 1: got testosterone in like the double digits the highest guy

495
00:28:11,119 --> 00:28:14,400
Speaker 1: and they're like our age. They're not old, they're how

496
00:28:14,400 --> 00:28:17,680
Speaker 1: low they're testosterone. The NPR staff has like an average

497
00:28:17,720 --> 00:28:21,440
Speaker 1: testosteron level male staff has like an average testostero level

498
00:28:21,480 --> 00:28:24,080
Speaker 1: for all in of like one hundred and twenty or something,

499
00:28:24,280 --> 00:28:27,760
Speaker 1: which is I mean normal is three hundred to one thousand. Anyway,

500
00:28:28,000 --> 00:28:31,560
Speaker 1: the charts lacking in testa like the Legit Beta male.

501
00:28:32,480 --> 00:28:34,359
Speaker 1: So if you don't want to be a member of

502
00:28:34,400 --> 00:28:36,879
Speaker 1: the NPR staff, Okay, if you feel like you need

503
00:28:36,880 --> 00:28:39,160
Speaker 1: a little extra juice, little extra something to get through

504
00:28:39,160 --> 00:28:40,680
Speaker 1: the day, because look as we got all their t

505
00:28:40,880 --> 00:28:43,560
Speaker 1: levels do drop and things can happen, call our friends

506
00:28:43,560 --> 00:28:47,480
Speaker 1: at Chalk. Check out the Male Vitality Stack. The leading

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509
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515
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Speaker 1: use my name Buck for a massive discount. You don't

516
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Speaker 1: want to be one of these NPR guys who was like,

517
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Speaker 1: h my guys, my testosteroid level is fifteen. You should

518
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Speaker 1: check out Chalk. You can also call fifty chalk three thousand.

519
00:29:26,640 --> 00:29:30,920
Speaker 1: Caller text five zero chalk three thousand and say Clay

520
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Speaker 1: and Buck sent me once more Clay and Buck that

521
00:29:34,120 --> 00:29:37,400
Speaker 1: you didn't here on the show. Get podcast extras in

522
00:29:37,440 --> 00:29:39,760
Speaker 1: the Klay and Buck podcast feed, find it on the

523
00:29:39,800 --> 00:29:42,960
Speaker 1: iheartap or wherever you get your podcasts. Man who is

524
00:29:43,080 --> 00:29:46,920
Speaker 1: likely to have a substantial role in a new Trump administration,

525
00:29:47,040 --> 00:29:49,479
Speaker 1: we talked to him last I believe at the RNC

526
00:29:49,680 --> 00:29:54,520
Speaker 1: and Milwaukee and person Kosh ptel with us. Now, I

527
00:29:54,600 --> 00:29:57,719
Speaker 1: know you talk with the Trump team and Trump himself

528
00:29:57,720 --> 00:30:00,760
Speaker 1: on a regular basis. As we sit here on the

529
00:30:00,800 --> 00:30:04,400
Speaker 1: eve of the debate. What advice would you give Trump

530
00:30:04,800 --> 00:30:07,480
Speaker 1: that you think is going to be supremely important when

531
00:30:07,560 --> 00:30:09,800
Speaker 1: it comes to what happens tomorrow night on ABC.

532
00:30:11,000 --> 00:30:12,960
Speaker 3: Well, Jan, it's always great to be with you, and

533
00:30:13,600 --> 00:30:15,400
Speaker 3: you know, it's an honor to be involved in President

534
00:30:15,400 --> 00:30:18,880
Speaker 3: Trump's campaign as a senior advisor. And my opinion, you know,

535
00:30:19,160 --> 00:30:21,280
Speaker 3: I don't speak for the president, but my opinion, the

536
00:30:21,320 --> 00:30:24,480
Speaker 3: best advice I can give him is just be yourself.

537
00:30:25,240 --> 00:30:28,360
Speaker 3: You are prepared because you have been practicing and implementing

538
00:30:28,400 --> 00:30:31,440
Speaker 3: these policies to safeguard or border, to take on the

539
00:30:31,480 --> 00:30:34,440
Speaker 3: CCP to knock out the Deep States, to shut down

540
00:30:34,440 --> 00:30:37,400
Speaker 3: the iotoes and stop the narco traffickers. It's not a

541
00:30:37,440 --> 00:30:40,360
Speaker 3: gamble on DJT. You did it in your first term,

542
00:30:40,440 --> 00:30:43,080
Speaker 3: so people can back bet on it versus what Kamala

543
00:30:43,120 --> 00:30:45,360
Speaker 3: Harrison has to do, which is actually address the nation.

544
00:30:45,600 --> 00:30:47,840
Speaker 3: And when she's on stage with Donald Trump, who's the

545
00:30:47,840 --> 00:30:51,080
Speaker 3: bestibator of our lifetime and probably any lifetime, we will

546
00:30:51,120 --> 00:30:53,880
Speaker 3: see her failures, her word style and her cackling, and

547
00:30:53,920 --> 00:30:57,160
Speaker 3: if he can explose just that, we will see Donald

548
00:30:57,160 --> 00:31:02,160
Speaker 3: Trump monumentally some Kamala Harris on the debate stage tomorrow

549
00:31:02,280 --> 00:31:05,480
Speaker 3: night while exposing her flank of foot flopping and having

550
00:31:05,560 --> 00:31:07,240
Speaker 3: zero policies to protect America.

551
00:31:11,480 --> 00:31:13,600
Speaker 1: Hey, Cash, I know that you were in the early

552
00:31:13,720 --> 00:31:20,280
Speaker 1: days there for the beginnings of the Russia collusion nonsense

553
00:31:20,360 --> 00:31:23,320
Speaker 1: and Trump term one, and you know you've seen it all. Really,

554
00:31:23,360 --> 00:31:26,720
Speaker 1: I mean, you've been around and in those fights. We

555
00:31:26,840 --> 00:31:29,400
Speaker 1: just had this little spasm of Russia Russia, what was

556
00:31:29,440 --> 00:31:33,440
Speaker 1: it about a week ago from the Democrats? I mean,

557
00:31:33,760 --> 00:31:37,160
Speaker 1: did you expect this? And more importantly, do you think

558
00:31:37,200 --> 00:31:40,120
Speaker 1: that they view this as not catching on quite the

559
00:31:40,160 --> 00:31:42,560
Speaker 1: same way? Or should we get ready for Oh my gosh,

560
00:31:42,600 --> 00:31:46,280
Speaker 1: Putin's he wants Trump to win between now an election day.

561
00:31:47,640 --> 00:31:50,280
Speaker 3: Well, look, you're right. Maybe nobody knows more about Rustigate

562
00:31:50,280 --> 00:31:52,640
Speaker 3: than me as a lead investigator who exposed the fact

563
00:31:52,680 --> 00:31:57,080
Speaker 3: that Democrats ilegally funded an intelligence operation with false information

564
00:31:57,200 --> 00:32:00,000
Speaker 3: to lie to a federal court, to illegallys savailab political talk,

565
00:32:00,320 --> 00:32:02,640
Speaker 3: and weaponized justice in law enforcement. That took me a

566
00:32:02,640 --> 00:32:04,440
Speaker 3: couple of years to get out, and it took me

567
00:32:04,480 --> 00:32:06,480
Speaker 3: a few more to make sure America's knew the truth

568
00:32:06,520 --> 00:32:09,239
Speaker 3: that the left was lying. Now, the fact that they

569
00:32:09,320 --> 00:32:13,200
Speaker 3: pivoted back to Russia, Russia, Russia shows me that they

570
00:32:13,280 --> 00:32:16,960
Speaker 3: are completely devoid of any substance policies to improve our

571
00:32:17,360 --> 00:32:20,280
Speaker 3: way of life, to reduce the prices that everyday Americans

572
00:32:20,320 --> 00:32:22,960
Speaker 3: are getting crushed under gas and groceries and everything else.

573
00:32:23,200 --> 00:32:25,080
Speaker 3: And they shows that Kamala Harris has not issued a

574
00:32:25,120 --> 00:32:28,800
Speaker 3: single policy that will actually improve American lives. But what's

575
00:32:28,840 --> 00:32:32,280
Speaker 3: important to note is the government gangsters that author Russia, Russia,

576
00:32:32,320 --> 00:32:34,400
Speaker 3: Russia from back in the day are now back in

577
00:32:34,520 --> 00:32:37,880
Speaker 3: charge of even greater positions of power, specifically Lisa Monaco

578
00:32:38,200 --> 00:32:40,680
Speaker 3: and John Carlin, my former boss at the Department of

579
00:32:40,800 --> 00:32:44,640
Speaker 3: Justice's National Security Division who launched Russia Gates. They are

580
00:32:44,680 --> 00:32:46,840
Speaker 3: now the number two and three at DOJ. It is

581
00:32:46,920 --> 00:32:50,240
Speaker 3: no coincidence that they are running this entire operation all

582
00:32:50,280 --> 00:32:53,360
Speaker 3: over again because they cannot rely on the substance that

583
00:32:53,440 --> 00:32:55,440
Speaker 3: Kamala Harris is putting out, so they're over rely on

584
00:32:55,480 --> 00:32:59,160
Speaker 3: disinformation and what's the easiest hit, Russia? Russia, Russia.

585
00:33:00,200 --> 00:33:02,920
Speaker 1: Gosh, do you think there's a panic setting in right now?

586
00:33:03,080 --> 00:33:06,200
Speaker 1: When you look at the polls? Even we talked about

587
00:33:06,240 --> 00:33:08,000
Speaker 1: to start the show, the public polling from the New

588
00:33:08,040 --> 00:33:11,080
Speaker 1: York Times has Trump up won? Harvard Harris has it dead.

589
00:33:11,200 --> 00:33:14,560
Speaker 1: Even Poles just came out showing Trump up in Georgia

590
00:33:14,640 --> 00:33:18,440
Speaker 1: North Carolina. If Trump wins Georgia North Carolina, it's almost

591
00:33:18,520 --> 00:33:22,440
Speaker 1: impossible for Kamala to put together a campaign. How much

592
00:33:22,480 --> 00:33:25,040
Speaker 1: do you think they're starting to panic here based on

593
00:33:25,080 --> 00:33:27,520
Speaker 1: the internal metrics and polling that they are seeing.

594
00:33:28,600 --> 00:33:31,320
Speaker 3: Yeah, those metrics are something that I'm not the expert on.

595
00:33:31,520 --> 00:33:33,520
Speaker 3: I go around the country and I meet with roomfuls

596
00:33:33,520 --> 00:33:35,880
Speaker 3: of people just like you guys do, and those are

597
00:33:35,880 --> 00:33:38,120
Speaker 3: my polls and who shows up there and what questions

598
00:33:38,120 --> 00:33:40,920
Speaker 3: we get and everywhere I go. I'm seeing waves of

599
00:33:41,000 --> 00:33:43,800
Speaker 3: people show up for politics that haven't been involved in

600
00:33:43,880 --> 00:33:46,120
Speaker 3: politics or that are independent and saying our way of

601
00:33:46,120 --> 00:33:48,440
Speaker 3: life under Donald Trump is so much better. So I

602
00:33:48,440 --> 00:33:51,200
Speaker 3: think you'll see a full scale panic actually come in

603
00:33:51,600 --> 00:33:55,080
Speaker 3: right after the debate tomorrow, because I believe President Trump,

604
00:33:55,080 --> 00:33:57,320
Speaker 3: wh I just was with last night, is going to

605
00:33:57,480 --> 00:34:01,160
Speaker 3: be himself an adjust and pigot and answer the actual

606
00:34:01,240 --> 00:34:05,040
Speaker 3: questions that Americans care about versus Kamalog just reading her

607
00:34:05,120 --> 00:34:07,640
Speaker 3: canned brief, and they're going to see her for the

608
00:34:07,720 --> 00:34:10,640
Speaker 3: fraud that she is. And to me, that is going

609
00:34:10,680 --> 00:34:13,440
Speaker 3: to be the ultimate poll that shows us how much

610
00:34:13,440 --> 00:34:15,200
Speaker 3: of a panic they're in. And if you need another one,

611
00:34:15,280 --> 00:34:18,080
Speaker 3: just turn on CNN or MSNBC right after, and if

612
00:34:18,080 --> 00:34:20,480
Speaker 3: they're digging Kamala out of her own grave, then you'll

613
00:34:20,520 --> 00:34:22,960
Speaker 3: know that the political job was accomplished.

614
00:34:23,640 --> 00:34:26,120
Speaker 1: Oh the best, the best watching that you can get

615
00:34:26,239 --> 00:34:30,160
Speaker 1: cash is when the Democrats have had a really bad night,

616
00:34:30,239 --> 00:34:32,640
Speaker 1: either at a debate or an election or whatever, and

617
00:34:32,680 --> 00:34:35,799
Speaker 1: you flip on MSNBC. I'm telling you it is. It

618
00:34:35,880 --> 00:34:37,879
Speaker 1: is the best TV you'll find. It's the best TV

619
00:34:37,920 --> 00:34:41,680
Speaker 1: you'll fight anywhere. The tears, oh, those delicious live tears.

620
00:34:42,200 --> 00:34:45,880
Speaker 1: But no, I think that they're They're obviously concerned, and

621
00:34:45,920 --> 00:34:48,160
Speaker 1: they should be based on their own numbers, in their

622
00:34:48,200 --> 00:34:51,719
Speaker 1: own polling. Kama is a remarkably weak candidate, a remarkably

623
00:34:51,719 --> 00:34:53,759
Speaker 1: weak vice president before that, I mean, this is none

624
00:34:53,840 --> 00:34:56,440
Speaker 1: of this is a surprise. None of this uh is

625
00:34:56,480 --> 00:34:59,440
Speaker 1: something that we couldn't see coming. In some ways, I

626
00:34:59,440 --> 00:35:01,160
Speaker 1: don't want to get ahead of ourselves because I know

627
00:35:01,800 --> 00:35:03,120
Speaker 1: they got a lot of there a lot of tricks

628
00:35:03,160 --> 00:35:05,520
Speaker 1: up the Democrats leaves a lot of things. We are

629
00:35:05,520 --> 00:35:08,120
Speaker 1: all aware of the Shenanigans. We don't need everyone to say,

630
00:35:08,120 --> 00:35:11,120
Speaker 1: what about the shenanigans? We know, we know, Okay, But

631
00:35:11,320 --> 00:35:14,640
Speaker 1: if Trump does win this thing, I know you've been

632
00:35:15,400 --> 00:35:18,480
Speaker 1: a warrior against the swamp and specifically the deep state

633
00:35:18,560 --> 00:35:22,280
Speaker 1: for a while now. People are seeing Elon Musk possibly

634
00:35:22,400 --> 00:35:28,000
Speaker 1: part of a commission to deal with government waste? Is

635
00:35:28,000 --> 00:35:30,799
Speaker 1: is that something that you think that that Trump is

636
00:35:30,800 --> 00:35:33,759
Speaker 1: going to follow through on? I mean, basically, how do

637
00:35:33,840 --> 00:35:37,000
Speaker 1: we actually tackle the deep state in the way that

638
00:35:37,040 --> 00:35:41,600
Speaker 1: Trump has been promising all along? If he wins, right.

639
00:35:41,520 --> 00:35:43,520
Speaker 3: Job one, get him elected, your audience, you go to

640
00:35:43,680 --> 00:35:46,960
Speaker 3: Trump forced forty seven dot com. We are doing basically

641
00:35:47,000 --> 00:35:49,760
Speaker 3: townhouse across the country for Surge at work. I'm heavily

642
00:35:49,760 --> 00:35:52,400
Speaker 3: involved in that, so everybody can be involved in this mission,

643
00:35:52,719 --> 00:35:55,480
Speaker 3: Trump Force forty seven dot com and hopefully we're successful

644
00:35:55,520 --> 00:35:59,200
Speaker 3: November fifth and after that, if President Trump wants to

645
00:35:59,239 --> 00:36:02,799
Speaker 3: install his regime against the deep State, you know you

646
00:36:02,840 --> 00:36:04,719
Speaker 3: can believe him and take him out his word that

647
00:36:04,760 --> 00:36:06,520
Speaker 3: he's got the people to do it. He's got the

648
00:36:06,520 --> 00:36:10,239
Speaker 3: bench to go to. He's been attacked singularly by this

649
00:36:10,320 --> 00:36:13,360
Speaker 3: deep state at every level, and he has folks like

650
00:36:13,400 --> 00:36:17,040
Speaker 3: Elon Muskin Company flocking to his side because they stand

651
00:36:17,080 --> 00:36:19,880
Speaker 3: for the Constitution. And I think the one thing that

652
00:36:19,880 --> 00:36:22,720
Speaker 3: these government gangsters all have in common is their hatred

653
00:36:23,080 --> 00:36:27,120
Speaker 3: of Donald Trump. And by exposing that hatred, which topples

654
00:36:27,400 --> 00:36:31,880
Speaker 3: the truth, Donald Trump has gained a monumental backing. And

655
00:36:32,160 --> 00:36:35,080
Speaker 3: the Americans are sick and tired of DOJ, FBI, DoD

656
00:36:35,520 --> 00:36:39,600
Speaker 3: and everybody else weaponizing justice disasters withdrawals of Afghanistan, two

657
00:36:39,719 --> 00:36:42,319
Speaker 3: tiers of justice if you vote one way versus the other.

658
00:36:42,800 --> 00:36:45,759
Speaker 3: And the leadership in DC is a revolving door of

659
00:36:45,800 --> 00:36:49,239
Speaker 3: government gangsters, just like I outline in my book, and

660
00:36:48,760 --> 00:36:52,319
Speaker 3: that truth and Reconciliation Commissioner, whatever you want to call it,

661
00:36:52,400 --> 00:36:54,600
Speaker 3: is one of the hallmarks of my book that I

662
00:36:54,640 --> 00:36:56,799
Speaker 3: recommend to the public and the president that we need

663
00:36:56,840 --> 00:37:00,080
Speaker 3: a twenty four to seven Declassification and Accountability Office, And

664
00:37:00,120 --> 00:37:02,160
Speaker 3: if Elon's going to head it, great, put it right

665
00:37:02,200 --> 00:37:04,400
Speaker 3: in the White House and make sure we let the

666
00:37:04,400 --> 00:37:07,200
Speaker 3: American people know the truth about the abuses of the

667
00:37:07,200 --> 00:37:10,600
Speaker 3: classification systems to bury government corruptions cash.

668
00:37:10,640 --> 00:37:13,640
Speaker 1: What do you think the impact of RFK Junior Tulsea

669
00:37:13,680 --> 00:37:17,000
Speaker 1: Gabbard you mentioned Elon as well, has been in terms

670
00:37:17,000 --> 00:37:18,560
Speaker 1: of endorsing President Trump.

671
00:37:19,920 --> 00:37:21,799
Speaker 3: Well, look at it. I mean, you have a Democrat

672
00:37:21,880 --> 00:37:24,800
Speaker 3: turned independent. You have RFK, the scion of the Kennedy

673
00:37:24,840 --> 00:37:28,919
Speaker 3: family Democratic dynasty, coming in and saying Donald Trump's better

674
00:37:28,920 --> 00:37:32,320
Speaker 3: for America than the anointed Democratic candidate of Kamala Harris.

675
00:37:32,360 --> 00:37:34,880
Speaker 3: That speaks volumes. I mean, just look at the facts.

676
00:37:35,040 --> 00:37:37,520
Speaker 3: When RFK was running, he couldn't get on a state ballot.

677
00:37:37,719 --> 00:37:40,319
Speaker 3: Now that RFK endorse Donald Trump, he can't get off

678
00:37:40,360 --> 00:37:43,760
Speaker 3: of state ballot. And Toolsey Gabbert's coming in talking about

679
00:37:44,000 --> 00:37:46,719
Speaker 3: the endless wars and the only person that can stop

680
00:37:46,760 --> 00:37:49,400
Speaker 3: it is Donald J. Trump. These people are very powerful

681
00:37:49,520 --> 00:37:52,520
Speaker 3: voices to a sector of the American public that has

682
00:37:52,560 --> 00:37:57,240
Speaker 3: been troddled over by the Democrats, the radicals and Kamala Harris.

683
00:37:57,239 --> 00:37:59,439
Speaker 3: So when you have a few million people swinging, which

684
00:37:59,480 --> 00:38:02,600
Speaker 3: I think RFK and company can do with Elon and

685
00:38:02,640 --> 00:38:05,080
Speaker 3: the Life, I think that's massive in the polls. And look,

686
00:38:05,160 --> 00:38:07,400
Speaker 3: this state, this election is going to be five states

687
00:38:07,400 --> 00:38:09,799
Speaker 3: and fifty thousand votes, that's all. It's going to be

688
00:38:09,800 --> 00:38:12,279
Speaker 3: in about twelve or seventeen counties. So we've got to

689
00:38:12,280 --> 00:38:14,680
Speaker 3: get the message out and we've got to get people

690
00:38:14,719 --> 00:38:15,960
Speaker 3: on the ground activated.

691
00:38:16,880 --> 00:38:19,719
Speaker 1: How do you feel a cash because again, you've been

692
00:38:20,640 --> 00:38:24,919
Speaker 1: on the front lines of all things MAGA for years now,

693
00:38:25,920 --> 00:38:28,839
Speaker 1: you know we're trying to be both. Look, we take

694
00:38:28,880 --> 00:38:31,000
Speaker 1: it on board, we all get it. I just there's

695
00:38:31,000 --> 00:38:34,480
Speaker 1: a tremendous amount of anxiety out there about the other

696
00:38:34,640 --> 00:38:39,520
Speaker 1: side dirty tricks, and I mean election dirty tricks, not

697
00:38:39,600 --> 00:38:41,719
Speaker 1: just lying. We expect them to lie about everything. They're

698
00:38:41,800 --> 00:38:45,600
Speaker 1: lying about KAML every two seconds. But do you feel

699
00:38:45,600 --> 00:38:49,560
Speaker 1: like we've got better procedures that the campaign, it's lawyers,

700
00:38:49,600 --> 00:38:53,920
Speaker 1: it's staff are in a better position now to either

701
00:38:54,160 --> 00:38:58,320
Speaker 1: prevent or catch any shenanigans than the last time around.

702
00:38:59,400 --> 00:39:01,680
Speaker 3: There's definitely going to be Shenanigans, There's definitely going to

703
00:39:01,719 --> 00:39:04,480
Speaker 3: be rig jobs. Remember it's not a Republican or Democratic thing.

704
00:39:04,640 --> 00:39:08,520
Speaker 3: Gina Haspell, as Trump's CIA director, authorized the fifty one

705
00:39:08,520 --> 00:39:11,640
Speaker 3: Intel letter in less than six hours a week before

706
00:39:11,680 --> 00:39:14,160
Speaker 3: the election to join forces with the Democrat to take

707
00:39:14,160 --> 00:39:16,319
Speaker 3: out Donald Trump in a lie. And I think the

708
00:39:16,360 --> 00:39:20,080
Speaker 3: Trump campaign is wealth positioned to take on anything that

709
00:39:20,120 --> 00:39:23,600
Speaker 3: these government gangsters throw at them. But above and beyond that,

710
00:39:23,640 --> 00:39:25,520
Speaker 3: what we have done over these last few years behind

711
00:39:25,520 --> 00:39:28,280
Speaker 3: Donald Trump's leadership is educate the American public on the truth.

712
00:39:28,560 --> 00:39:32,400
Speaker 3: Everything from Russia Russia Russia, to the insurrection disinformation campaign

713
00:39:32,440 --> 00:39:34,040
Speaker 3: to impeach on one and in peach from two. We're

714
00:39:34,080 --> 00:39:37,879
Speaker 3: all complete and total fraud manufactured by the deep state

715
00:39:37,880 --> 00:39:41,239
Speaker 3: and Washington, DC, and everyday Republicans that are represented by

716
00:39:41,239 --> 00:39:43,920
Speaker 3: the likes of RFK and Elon are saying, wait a second,

717
00:39:43,920 --> 00:39:46,080
Speaker 3: we were lied to. And I think that's the power

718
00:39:46,120 --> 00:39:48,880
Speaker 3: Trump's messages connecting to those people who were lied to,

719
00:39:49,200 --> 00:39:50,920
Speaker 3: and they were saying, you robbed me of my right

720
00:39:51,000 --> 00:39:53,440
Speaker 3: to vote based on the constitution of the truth, and

721
00:39:53,480 --> 00:39:55,239
Speaker 3: I'm not going to let it happen again, and I

722
00:39:55,280 --> 00:39:57,479
Speaker 3: think that's the power if we can culminate all those

723
00:39:57,520 --> 00:40:00,719
Speaker 3: forces behind our leader, Donald Trump, who is going to

724
00:40:00,880 --> 00:40:03,120
Speaker 3: drain the swamp and secure of the border.

725
00:40:04,000 --> 00:40:06,799
Speaker 1: Cash fantastic stuff. As always, we appreciate you giving us

726
00:40:06,800 --> 00:40:08,760
Speaker 1: the time and keep up the good work on the campaign.

727
00:40:09,760 --> 00:40:12,080
Speaker 3: Thanks, gentlemen, have a great day, no doubt.

728
00:40:12,880 --> 00:40:14,319
Speaker 1: I want to tell you right now you know where

729
00:40:14,360 --> 00:40:17,240
Speaker 1: I was super late last night picking up my son

730
00:40:17,280 --> 00:40:21,160
Speaker 1: as he came back from a debate tournament twelve thirty am.

731
00:40:21,800 --> 00:40:24,080
Speaker 1: Reason I was able to keep track of him his

732
00:40:24,480 --> 00:40:27,680
Speaker 1: pure Talk phone. He was in Kentucky over the weekend.

733
00:40:27,760 --> 00:40:30,080
Speaker 1: He comes back and I got to pick him up

734
00:40:30,280 --> 00:40:33,160
Speaker 1: at twelve thirty a m. A lot of you out

735
00:40:33,200 --> 00:40:36,680
Speaker 1: there with kids know the feeling, events, extracurriculars. It's hard

736
00:40:36,719 --> 00:40:40,040
Speaker 1: to keep track of all of your family members. I

737
00:40:40,080 --> 00:40:41,920
Speaker 1: trust pure Talk to help me keep in touch with

738
00:40:42,000 --> 00:40:44,920
Speaker 1: my son and soon my middle son as well, because

739
00:40:44,920 --> 00:40:48,680
Speaker 1: they get phones at fourteen years old. Here in the household. Look,

740
00:40:48,719 --> 00:40:51,759
Speaker 1: pure Talk isn't trying to gouge you on price, which

741
00:40:51,760 --> 00:40:55,239
Speaker 1: is a lot different than Verizon, T Mobile or Pure Talk.

742
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Speaker 1: Pure Talk will find out what you need and have

743
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Speaker 1: you pay for this service that best fits your needs.

744
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Speaker 1: For just twenty five bucks a month, you can get

745
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Speaker 1: unlimited talk text, five gigs of data, plus a mobile

746
00:41:08,840 --> 00:41:12,319
Speaker 1: hotspot that's enough to watch ten hours of video or

747
00:41:12,360 --> 00:41:16,280
Speaker 1: stream one thousand songs. Make the switch to pure Talk today.

748
00:41:16,360 --> 00:41:19,800
Speaker 1: Dial pound two five zero say Clay and Buck. You'll

749
00:41:19,800 --> 00:41:23,399
Speaker 1: say fifty percent off your first month. Do what I've

750
00:41:23,440 --> 00:41:27,040
Speaker 1: done with my own family. Dial pound two five zero

751
00:41:27,280 --> 00:41:30,239
Speaker 1: say Clay and Buck to start saving now on your

752
00:41:30,280 --> 00:41:33,319
Speaker 1: cell phone plan. Peek out with the guys on the

753
00:41:33,520 --> 00:41:37,120
Speaker 1: Sunday Hang with Clay and Buck podcast, a new episode

754
00:41:37,160 --> 00:41:39,839
Speaker 1: of Every Sunday. Find it on the iHeart app or

755
00:41:39,880 --> 00:41:43,360
Speaker 1: wherever you get your podcasts. Welcome back into Clay and Buck.

756
00:41:43,800 --> 00:41:47,040
Speaker 1: Lisa Booth is with us now the one and only

757
00:41:47,360 --> 00:41:51,040
Speaker 1: Fox News political analyst, host of The Truth with Lisa

758
00:41:51,080 --> 00:41:54,520
Speaker 1: Booth in the Clay and Buck podcast Network, doing fantastic

759
00:41:54,600 --> 00:41:56,200
Speaker 1: numbers because so many of you are listening and want

760
00:41:56,239 --> 00:41:59,799
Speaker 1: to hear her political insights. Mss Lisa. Always great to

761
00:41:59,800 --> 00:42:00,839
Speaker 1: have you back on the show.

762
00:42:00,880 --> 00:42:03,279
Speaker 4: How are you doing, Hey, guys, I've missed you. It's

763
00:42:03,320 --> 00:42:03,960
Speaker 4: great to be on.

764
00:42:04,560 --> 00:42:06,480
Speaker 1: Yeah, it's it's been a little bit. So we appreciate

765
00:42:06,520 --> 00:42:08,720
Speaker 1: you making the time for especially in advance of this debate.

766
00:42:09,080 --> 00:42:10,920
Speaker 1: Let's start with this, we'll get into some of you

767
00:42:11,000 --> 00:42:13,120
Speaker 1: or what do you think about the debate in a moment? Okay,

768
00:42:13,200 --> 00:42:15,960
Speaker 1: what do you think about the campaign so far? Like

769
00:42:16,080 --> 00:42:20,279
Speaker 1: how is Trump doing in twenty twenty four versus what

770
00:42:20,320 --> 00:42:22,640
Speaker 1: you can compare it to in twenty twenty although I

771
00:42:22,680 --> 00:42:25,320
Speaker 1: know that was a crazy year for a lot of reasons.

772
00:42:25,840 --> 00:42:27,959
Speaker 4: Well, I think the challenge is, I mean, you can't

773
00:42:27,960 --> 00:42:30,880
Speaker 4: really compare them, right, I mean, think of what had

774
00:42:30,960 --> 00:42:33,600
Speaker 4: happened in such a just in the past couple months alone.

775
00:42:33,640 --> 00:42:36,959
Speaker 4: I mean, we had an assassination attempt against Donald Trump,

776
00:42:37,000 --> 00:42:39,040
Speaker 4: which the media tried to sweep under the rug, and

777
00:42:39,080 --> 00:42:41,520
Speaker 4: obviously we're being lied to by the Secret Service and

778
00:42:41,560 --> 00:42:44,440
Speaker 4: the FBI about what exactly happened. And then you had

779
00:42:44,480 --> 00:42:48,839
Speaker 4: an entirely new Democrat ticket with Kamala Harris and then

780
00:42:48,880 --> 00:42:52,759
Speaker 4: her selection of Tim Wallas and Joe Biden stepping out

781
00:42:52,760 --> 00:42:55,600
Speaker 4: of the race via x even though somehow he's still

782
00:42:55,680 --> 00:42:58,480
Speaker 4: the President of the United States, which is confusing. So

783
00:42:58,719 --> 00:43:00,520
Speaker 4: I don't know if you can compare the two. I mean,

784
00:43:00,560 --> 00:43:03,160
Speaker 4: we've never really had a truncated you know, general election

785
00:43:03,960 --> 00:43:07,040
Speaker 4: like this before, So I don't think you can compare

786
00:43:07,080 --> 00:43:08,680
Speaker 4: the two. I think he's trying to do the best

787
00:43:08,680 --> 00:43:13,040
Speaker 4: he can on quicksand with sort of this changing environment.

788
00:43:14,080 --> 00:43:17,719
Speaker 4: And tomorrow night's debate is obviously very important because of

789
00:43:17,760 --> 00:43:20,080
Speaker 4: all that, Lisa.

790
00:43:19,800 --> 00:43:23,319
Speaker 1: Do you ever just get frustrated with women for being

791
00:43:23,400 --> 00:43:24,640
Speaker 1: idiots and how they're voting?

792
00:43:25,320 --> 00:43:28,600
Speaker 4: Oh, every day, every day, Buck, I mean, you know what,

793
00:43:28,960 --> 00:43:31,880
Speaker 4: It disturbs me, and it hurts my heart that so

794
00:43:32,040 --> 00:43:36,319
Speaker 4: many women in the country prioritize the ability to kill

795
00:43:36,360 --> 00:43:39,279
Speaker 4: an unborn child over being able to put food on

796
00:43:39,320 --> 00:43:43,160
Speaker 4: the table for their existing families, or being safe in

797
00:43:43,239 --> 00:43:46,400
Speaker 4: the streets, or not having terrorists crossed or southern borders.

798
00:43:46,440 --> 00:43:49,520
Speaker 4: But unfortunately, we've arrived at this point where Democrats have

799
00:43:49,600 --> 00:43:52,200
Speaker 4: made such a big issue out of reproductive freedom, when

800
00:43:52,239 --> 00:43:54,719
Speaker 4: it's not reproductive freedom, it's it's just the ability to

801
00:43:54,840 --> 00:44:00,160
Speaker 4: murder an unborn child, essentially what they're advocating for. So yeah, yea,

802
00:44:00,560 --> 00:44:03,040
Speaker 4: it makes me sad, and you know, I hope that

803
00:44:03,120 --> 00:44:05,640
Speaker 4: we can try to continue to change hearts and minds

804
00:44:05,680 --> 00:44:07,840
Speaker 4: as a country, but it's disturbing to me.

805
00:44:08,520 --> 00:44:11,440
Speaker 1: So if you were now advising Trump and I don't

806
00:44:11,480 --> 00:44:13,600
Speaker 1: want to overstate this, Lisa, but you know this radio

807
00:44:13,640 --> 00:44:16,920
Speaker 1: show is kind of big, some people say huge, and

808
00:44:16,960 --> 00:44:19,400
Speaker 1: there are some Trump people who listen to the show,

809
00:44:19,520 --> 00:44:21,880
Speaker 1: so this might make its way to Trump, although you

810
00:44:21,880 --> 00:44:23,759
Speaker 1: probably could just call them on your phone later. But

811
00:44:24,440 --> 00:44:29,040
Speaker 1: what would you advise as key points for Trump to

812
00:44:29,120 --> 00:44:31,319
Speaker 1: focus on tomorrow? And I just want to remind her

813
00:44:31,360 --> 00:44:33,640
Speaker 1: release his work, not as you do political analysis on

814
00:44:33,640 --> 00:44:36,200
Speaker 1: Fox News. She's worked on campaigns in the past, stretching

815
00:44:36,239 --> 00:44:38,040
Speaker 1: back for many, many years. So what do you think.

816
00:44:38,880 --> 00:44:43,239
Speaker 4: Well, I will say this that Kamala Harris faces. She's

817
00:44:43,280 --> 00:44:46,759
Speaker 4: losing men by a bigger margin than winning women in

818
00:44:46,760 --> 00:44:49,319
Speaker 4: some states like Pennsylvania, Nevada, and North Carolina. So there's

819
00:44:49,320 --> 00:44:51,480
Speaker 4: a lot of focus on the female though, but not

820
00:44:51,600 --> 00:44:54,040
Speaker 4: her problems with men. I mean, women do tend to

821
00:44:54,080 --> 00:44:55,919
Speaker 4: turn out more than men, so that is an issue.

822
00:44:55,960 --> 00:44:58,080
Speaker 4: I'm not going to downplay that. But for him for

823
00:44:58,120 --> 00:44:59,480
Speaker 4: the debates, Mark, I mean, look, we know what her

824
00:44:59,520 --> 00:45:02,279
Speaker 4: strategy is going to be. We saw it against Mike Pence.

825
00:45:02,320 --> 00:45:04,160
Speaker 4: She's going to try to be inflammatory. She's going to

826
00:45:04,280 --> 00:45:06,080
Speaker 4: call him a fella, and she's going to call him

827
00:45:06,120 --> 00:45:08,640
Speaker 4: massage and as sexes all these different things, and so

828
00:45:08,719 --> 00:45:13,279
Speaker 4: he just can't give her that SoundBite and what he

829
00:45:13,360 --> 00:45:14,960
Speaker 4: needs to do. I mean, there was a CNN pool

830
00:45:15,000 --> 00:45:18,239
Speaker 4: recently that found the majority of Americans look back positively

831
00:45:18,280 --> 00:45:20,880
Speaker 4: on his agenda, that there is some Trump nostalgia with

832
00:45:21,000 --> 00:45:22,840
Speaker 4: the way his administration used to be. And so he

833
00:45:22,920 --> 00:45:26,680
Speaker 4: needs to remind voters why that is the facts that,

834
00:45:26,800 --> 00:45:29,200
Speaker 4: you know, real wages were up, the fact that we

835
00:45:29,200 --> 00:45:31,560
Speaker 4: weren't facing this kind of inflation, the southern border was

836
00:45:31,640 --> 00:45:35,200
Speaker 4: under control, that we had stability in peace throughout the world,

837
00:45:35,239 --> 00:45:37,279
Speaker 4: and not the instability and chaos that we see now.

838
00:45:37,320 --> 00:45:40,080
Speaker 4: So he needs to remind voters of what his administration

839
00:45:40,160 --> 00:45:42,120
Speaker 4: stood for what we can have again as a country.

840
00:45:42,360 --> 00:45:44,600
Speaker 4: And again she has said that her values haven't changed

841
00:45:44,960 --> 00:45:47,680
Speaker 4: and that CNN interview. Bernie Sanders went on TV on

842
00:45:47,760 --> 00:45:50,440
Speaker 4: Meet the Press this weekend and said that she's a progressive,

843
00:45:50,480 --> 00:45:53,280
Speaker 4: she's just trying to moderate herself to win a general election.

844
00:45:53,320 --> 00:45:56,520
Speaker 4: So Donald Trump needs to remind Americans what those policy

845
00:45:56,640 --> 00:45:58,799
Speaker 4: positions are. The fact that she is to the left

846
00:45:58,800 --> 00:46:00,800
Speaker 4: of Bernie Sanders. They should be in an commune together

847
00:46:01,120 --> 00:46:03,759
Speaker 4: in Vermont, not her in the White House, you know,

848
00:46:03,800 --> 00:46:05,839
Speaker 4: I mean this is a woman, as we know, decriminalizing

849
00:46:05,920 --> 00:46:09,160
Speaker 4: southern borders or the southern border Medicare for all. She

850
00:46:09,239 --> 00:46:11,279
Speaker 4: compared Ice to the KKK. She said she was the

851
00:46:11,360 --> 00:46:13,920
Speaker 4: last person in the room and the disastrous decision to

852
00:46:13,920 --> 00:46:16,439
Speaker 4: get out of Afghanistan. So in the manner in which

853
00:46:16,440 --> 00:46:20,960
Speaker 4: they did. So there's ample you know, there's ample opportunity

854
00:46:20,960 --> 00:46:23,600
Speaker 4: there for Donald Trump. But he just needs to you know,

855
00:46:23,640 --> 00:46:25,799
Speaker 4: stick to the case and not let her get under

856
00:46:25,800 --> 00:46:28,160
Speaker 4: his skin and just nail her to the cross and

857
00:46:28,200 --> 00:46:29,480
Speaker 4: all these policy positions.

858
00:46:29,960 --> 00:46:32,880
Speaker 1: We're talking to Lisa Booth, who's alma mater the University

859
00:46:32,920 --> 00:46:36,960
Speaker 1: of Tennessee. Absolutely obliterated in C State over the weekend

860
00:46:37,280 --> 00:46:40,480
Speaker 1: in Charlotte, North Carolina. That was a big win. I'm

861
00:46:40,520 --> 00:46:45,160
Speaker 1: a big Tennessee fan as well, Lisa. So if Trump

862
00:46:45,239 --> 00:46:48,640
Speaker 1: wants to beat Kamala like Tennessee beat in C State,

863
00:46:48,840 --> 00:46:52,920
Speaker 1: sorry n C State fans out there listening. Economy, border

864
00:46:53,000 --> 00:46:58,040
Speaker 1: crime is huge. You mentioned abortion and how many women

865
00:46:58,160 --> 00:47:01,400
Speaker 1: are responding on that issue. I think the thing that

866
00:47:01,400 --> 00:47:03,319
Speaker 1: Trump needs to do, and I'm curious how you would

867
00:47:03,320 --> 00:47:05,680
Speaker 1: advise him if he were listening to respond to this,

868
00:47:06,200 --> 00:47:09,520
Speaker 1: is say, look, Republicans have a variety of perspectives on

869
00:47:09,680 --> 00:47:12,880
Speaker 1: how to respond to abortion. It's a state related issue.

870
00:47:13,160 --> 00:47:16,759
Speaker 1: What almost everybody voting for Republican agrees is second and

871
00:47:16,800 --> 00:47:21,680
Speaker 1: third trimester abortion is wrong and it is murder. Would

872
00:47:21,760 --> 00:47:24,480
Speaker 1: you advise that angle? And to say, like to try

873
00:47:24,480 --> 00:47:27,440
Speaker 1: to pivot and say what the it used to be safe, legal,

874
00:47:27,480 --> 00:47:31,799
Speaker 1: and rare was what Democrats said. Now party orthodoxy is

875
00:47:32,280 --> 00:47:34,240
Speaker 1: if you want to have an abortion in the ninth month,

876
00:47:34,320 --> 00:47:40,480
Speaker 1: you can. Americans overwhelmingly rejected what the Democrat orthodoxy is,

877
00:47:40,719 --> 00:47:44,360
Speaker 1: whereas there's lots of support for different Republican perspectives. Is

878
00:47:44,360 --> 00:47:46,719
Speaker 1: that the right answer or how should he handle it?

879
00:47:46,760 --> 00:47:48,080
Speaker 1: Because it is going to come.

880
00:47:48,000 --> 00:47:49,719
Speaker 4: Up well, and I think that's the right answer. I

881
00:47:49,719 --> 00:47:52,560
Speaker 4: mean he's picked it over to the states. Obviously, that

882
00:47:52,640 --> 00:47:55,759
Speaker 4: happened with the overturning of Rover Swede. And you know

883
00:47:55,800 --> 00:47:58,319
Speaker 4: also and to your point, I mean, the Democrats are

884
00:47:58,440 --> 00:48:01,719
Speaker 4: radical on this issue. They're busy, are actually outside of

885
00:48:01,760 --> 00:48:04,480
Speaker 4: the norm of Americans. I mean, even look at Tim

886
00:48:04,520 --> 00:48:07,160
Speaker 4: Walls and what he did as governor of Minnesota there.

887
00:48:07,160 --> 00:48:09,800
Speaker 4: I mean he removed protections for babies that were born

888
00:48:09,880 --> 00:48:13,560
Speaker 4: alive after botched abortions. I mean, it doesn't get sicker

889
00:48:13,600 --> 00:48:16,200
Speaker 4: than that. And so you know, I agree that he

890
00:48:16,200 --> 00:48:19,080
Speaker 4: should turn that around, and then also you know, make

891
00:48:19,120 --> 00:48:21,840
Speaker 4: the case again like he really needs to stick on.

892
00:48:22,080 --> 00:48:24,640
Speaker 4: As you mentioned, you've got the economy, you've got the border,

893
00:48:24,640 --> 00:48:27,239
Speaker 4: and you've got wars across the world. He is the

894
00:48:27,239 --> 00:48:30,040
Speaker 4: candidate that's going to be bring peace and stability of

895
00:48:30,040 --> 00:48:31,880
Speaker 4: the United States. He's the candidate that's going to be

896
00:48:31,920 --> 00:48:34,759
Speaker 4: in prosperity and more money in your wallet. He's the

897
00:48:34,800 --> 00:48:37,160
Speaker 4: candidate that's going to keep you safe for vent terris

898
00:48:37,239 --> 00:48:40,160
Speaker 4: from crossing the southern border. And also just the unfairness

899
00:48:40,560 --> 00:48:42,520
Speaker 4: with some of these Democrats and some of these cities

900
00:48:42,520 --> 00:48:45,120
Speaker 4: wanting to, you know, give all this money to ilegal immigrants,

901
00:48:45,120 --> 00:48:47,960
Speaker 4: put them up, give them, you know, certain subsidized housing

902
00:48:48,000 --> 00:48:50,920
Speaker 4: for them, while Americans are maxing out their credit cards

903
00:48:50,920 --> 00:48:54,279
Speaker 4: to put groceries on the table. So that's unfair for Americans.

904
00:48:54,400 --> 00:48:56,959
Speaker 4: And we're seeing that's why at least on the issue

905
00:48:57,000 --> 00:48:59,919
Speaker 4: of immigration. I mean, look how much it's changed since

906
00:49:00,040 --> 00:49:02,600
Speaker 4: when Donald Trump was president. You've got now you've got

907
00:49:02,600 --> 00:49:06,080
Speaker 4: a more majority of Americans that want mass deportations. I mean,

908
00:49:06,239 --> 00:49:09,120
Speaker 4: you would have never believed that or Donald Trump that's

909
00:49:09,160 --> 00:49:12,880
Speaker 4: not where Americans were sore. There are so many policy issues.

910
00:49:13,000 --> 00:49:14,880
Speaker 4: I just I hope he goes in tomorrow night and

911
00:49:14,920 --> 00:49:18,319
Speaker 4: release sticks to the issues and doesn't allow her. I mean,

912
00:49:18,320 --> 00:49:20,040
Speaker 4: we know she's gonna call him the fellon. You know,

913
00:49:20,080 --> 00:49:23,120
Speaker 4: she's going to call him sexes, all these different things,

914
00:49:23,160 --> 00:49:24,960
Speaker 4: and I just hope he doesn't allow himself to take

915
00:49:24,960 --> 00:49:27,200
Speaker 4: the bait. But look, he's debating three people. You know,

916
00:49:27,239 --> 00:49:30,960
Speaker 4: You've got two moderators that are extremely liberal that push

917
00:49:31,080 --> 00:49:34,360
Speaker 4: leftist propaganda, and then you've got Kamala Harris, so it's

918
00:49:34,480 --> 00:49:35,680
Speaker 4: you know, three against one.

919
00:49:36,120 --> 00:49:37,799
Speaker 1: And let me also say this, because I think the

920
00:49:37,880 --> 00:49:40,600
Speaker 1: abortion answer is important. I think Trump can say I

921
00:49:40,640 --> 00:49:44,160
Speaker 1: believe in exceptions for life of mother rape incests, same

922
00:49:44,239 --> 00:49:46,760
Speaker 1: ones that Ronald Reagan believed in. I think it should

923
00:49:46,760 --> 00:49:50,320
Speaker 1: be left to the state, and I believe, unlike Kamala Harris,

924
00:49:50,360 --> 00:49:53,719
Speaker 1: there should be some limits to abortion. I would just

925
00:49:53,840 --> 00:49:55,560
Speaker 1: like it, and I would actually say this if I

926
00:49:55,640 --> 00:49:57,640
Speaker 1: were Trump. And I'm curious how you think this would

927
00:49:58,280 --> 00:50:01,240
Speaker 1: resonate Lisa, because again, I do think the gender gap,

928
00:50:01,560 --> 00:50:04,920
Speaker 1: what the data reflects is if Trump can get women

929
00:50:05,320 --> 00:50:08,000
Speaker 1: to come and support him a bit or Kamala can

930
00:50:08,040 --> 00:50:10,480
Speaker 1: get men to come and support her a bit that

931
00:50:10,520 --> 00:50:12,320
Speaker 1: may well determine the outcome of this race. So I

932
00:50:12,320 --> 00:50:14,680
Speaker 1: would actually say, if I were Trump and point it,

933
00:50:14,760 --> 00:50:18,319
Speaker 1: put it on the moderators too. Kamala Harris, do you

934
00:50:18,440 --> 00:50:22,160
Speaker 1: support any limit on abortion at all? Do you oppose

935
00:50:22,400 --> 00:50:25,560
Speaker 1: ninth month abortion? It's a simple question. I do. I

936
00:50:25,640 --> 00:50:28,480
Speaker 1: do oppose ninth month abortion. Kamala, Will you say that?

937
00:50:28,840 --> 00:50:30,600
Speaker 1: And I would actually like him to put her a

938
00:50:30,640 --> 00:50:32,960
Speaker 1: little bit on the defensive, because I don't think she

939
00:50:33,000 --> 00:50:36,919
Speaker 1: would say, yes, you're right, we shouldn't have ninth month abortions.

940
00:50:37,840 --> 00:50:39,640
Speaker 4: Yeah, but then you're also setting her up to take

941
00:50:39,640 --> 00:50:42,360
Speaker 4: a policy position that aligns with the rest of America.

942
00:50:42,400 --> 00:50:44,040
Speaker 4: I mean, I'm pretty sure i'd have to go back,

943
00:50:44,080 --> 00:50:46,120
Speaker 4: but you know, I'd be looking up at her past

944
00:50:46,120 --> 00:50:49,680
Speaker 4: statements on abortion and just trying to My challenge for

945
00:50:49,760 --> 00:50:52,200
Speaker 4: Donald Trump tomorrow night is we've seen someone with Kamala

946
00:50:52,239 --> 00:50:57,400
Speaker 4: Harris who has no morality, you know, no values you know,

947
00:50:57,480 --> 00:50:59,959
Speaker 4: believes in nothing you know, willing to change her Paul

948
00:51:00,239 --> 00:51:02,120
Speaker 4: positions to try to win. I just I would not

949
00:51:02,120 --> 00:51:05,800
Speaker 4: give her any wiggle wiggle room on anything. I would

950
00:51:05,800 --> 00:51:08,160
Speaker 4: just nail her to every policy position she has said

951
00:51:08,160 --> 00:51:10,240
Speaker 4: previously that is out of step with the rest of America.

952
00:51:10,320 --> 00:51:12,200
Speaker 4: We know it is. She's one of the most liberal

953
00:51:12,320 --> 00:51:14,839
Speaker 4: United States senator to the left of Bernie Sanders. I mean,

954
00:51:15,040 --> 00:51:17,439
Speaker 4: her policy positions are so outside the norm. That's why

955
00:51:17,480 --> 00:51:20,800
Speaker 4: she's having to moderate herself now. And the real Kamala

956
00:51:20,800 --> 00:51:23,520
Speaker 4: Harris is who she was when she was a United

957
00:51:23,560 --> 00:51:26,280
Speaker 4: States Senator and she didn't have to worry about running

958
00:51:26,400 --> 00:51:29,280
Speaker 4: in a general election where she had to moderate herself

959
00:51:29,280 --> 00:51:31,799
Speaker 4: because she was in liberal California. So that is who

960
00:51:31,800 --> 00:51:34,000
Speaker 4: she is. And so I just I don't know, person,

961
00:51:34,160 --> 00:51:36,879
Speaker 4: I see what you're saying, but I just if I'm

962
00:51:36,920 --> 00:51:39,520
Speaker 4: Donald Trump, I don't give her any room to wiggle

963
00:51:39,520 --> 00:51:42,239
Speaker 4: out of previously policy positions. I'm just bringing up her

964
00:51:42,280 --> 00:51:45,439
Speaker 4: record nailing it every single time, and then saying I'm

965
00:51:45,480 --> 00:51:47,600
Speaker 4: the guy. I'm the person that you had more money

966
00:51:47,600 --> 00:51:50,279
Speaker 4: in your pocket, the border was secure, you know, you

967
00:51:50,320 --> 00:51:52,319
Speaker 4: didn't have to worry about having to potentially send your

968
00:51:52,360 --> 00:51:53,360
Speaker 4: your son or daughter.

969
00:51:53,160 --> 00:51:53,680
Speaker 3: Off to war.

970
00:51:54,480 --> 00:51:57,800
Speaker 4: And you know I'm the stability candidate, I'm the prosperity candidate,

971
00:51:57,840 --> 00:51:59,960
Speaker 4: I'm the security candidate. And so I just I don't

972
00:51:59,960 --> 00:52:02,320
Speaker 4: know I fear strategy, but if I'm him, I just

973
00:52:02,360 --> 00:52:04,160
Speaker 4: don't give her any room to wiggle out of her

974
00:52:04,200 --> 00:52:05,360
Speaker 4: past policy positions.

975
00:52:05,840 --> 00:52:07,560
Speaker 1: Do you think Tim Wallas has just turned into a

976
00:52:07,600 --> 00:52:10,160
Speaker 1: total non factor at this point, Lisa, because it feels like,

977
00:52:10,600 --> 00:52:12,640
Speaker 1: for a moment it was oh my gosh, Tim Wallas,

978
00:52:12,640 --> 00:52:14,600
Speaker 1: and I don't even I don't even think anyone talks

979
00:52:14,600 --> 00:52:16,279
Speaker 1: about it at all. Right now, well, you.

980
00:52:16,200 --> 00:52:18,399
Speaker 4: Guys, I was thinking about this. I'm like, like, if

981
00:52:18,440 --> 00:52:21,560
Speaker 4: she's wondering why she's doing so poorly with men, I mean,

982
00:52:21,560 --> 00:52:23,680
Speaker 4: picking a guy who wants to put tampons in the

983
00:52:23,680 --> 00:52:25,600
Speaker 4: boys bathroom, I mean, that'll do it right, Like I

984
00:52:25,640 --> 00:52:29,320
Speaker 4: think most men in the country believe that it is crazy,

985
00:52:29,960 --> 00:52:34,000
Speaker 4: and she also has she should be concerned about. I mean, look,

986
00:52:34,360 --> 00:52:37,319
Speaker 4: we've already discussed the fact that she's coming gunning for him.

987
00:52:37,360 --> 00:52:38,879
Speaker 4: She's going to try to do what she did Mike Pence,

988
00:52:38,920 --> 00:52:41,359
Speaker 4: which she did to Joe Biden where she basically called

989
00:52:41,400 --> 00:52:43,200
Speaker 4: him a rasis, and then sign up to be a VP.

990
00:52:43,680 --> 00:52:46,640
Speaker 4: She's going to be vicious. But for her, I would

991
00:52:46,640 --> 00:52:50,200
Speaker 4: be worried about coming across as too aggressive and unlikable

992
00:52:50,239 --> 00:52:52,880
Speaker 4: because we see it up until this point with you know,

993
00:52:53,000 --> 00:52:57,239
Speaker 4: the installation of her, you know, the Democrat, big donors

994
00:52:57,320 --> 00:53:00,479
Speaker 4: and elites installing her as the Democrat, and many people

995
00:53:00,520 --> 00:53:03,080
Speaker 4: didn't like her. I mean, she was up to been

996
00:53:03,120 --> 00:53:07,440
Speaker 4: one of the most least unpopular vice presidents in American history.

997
00:53:07,520 --> 00:53:11,600
Speaker 4: She flamed out in twenty twenty before Iowa and that's

998
00:53:11,600 --> 00:53:13,880
Speaker 4: where she put all her stock heading into to Iowa.

999
00:53:14,040 --> 00:53:17,640
Speaker 4: So this isn't someone who's likable, and so I think

1000
00:53:17,680 --> 00:53:22,080
Speaker 4: that she should be concerned about going too far with

1001
00:53:22,239 --> 00:53:24,799
Speaker 4: that and then really turning off one more men but

1002
00:53:24,880 --> 00:53:27,400
Speaker 4: also women, you know, And so I think that's a

1003
00:53:27,440 --> 00:53:29,520
Speaker 4: concern for her, and she runs the risk of that.

1004
00:53:30,920 --> 00:53:33,560
Speaker 1: Lisa, did you see bucket? I mentioned this and we

1005
00:53:33,600 --> 00:53:34,960
Speaker 1: need to have some fun with it when we come

1006
00:53:35,000 --> 00:53:37,440
Speaker 1: back to close out the show. Did you see that

1007
00:53:37,520 --> 00:53:42,799
Speaker 1: the men at NPR had their testosterone levels tested and

1008
00:53:43,000 --> 00:53:47,320
Speaker 1: all of them tested off like on the bottom women

1009
00:53:47,520 --> 00:53:50,840
Speaker 1: like well below, Where do you guys have a testosterone

1010
00:53:50,880 --> 00:53:53,200
Speaker 1: of like a two hundred year old man. It's ridiculous,

1011
00:53:53,280 --> 00:53:55,640
Speaker 1: I mean it's it's these are like forty year old

1012
00:53:55,680 --> 00:53:59,560
Speaker 1: men and thirty something year old men. Their testosterone levels

1013
00:53:59,640 --> 00:54:03,799
Speaker 1: were off the charts slow and I saw it. I

1014
00:54:03,840 --> 00:54:07,360
Speaker 1: just kind of nodded. Do you think there are any

1015
00:54:07,640 --> 00:54:11,400
Speaker 1: actually testosterone laden men, hardly in America at all, that

1016
00:54:11,440 --> 00:54:14,440
Speaker 1: are voting for Kamala? And how perfect is that for NPR?

1017
00:54:14,880 --> 00:54:16,800
Speaker 4: Well, it just makes so much sense, right, and I

1018
00:54:16,800 --> 00:54:19,440
Speaker 4: think what can even Dana Bash and CNN was basically

1019
00:54:19,560 --> 00:54:20,040
Speaker 4: saying that.

1020
00:54:20,920 --> 00:54:23,719
Speaker 1: There was a low a low t DNC that they

1021
00:54:23,719 --> 00:54:25,759
Speaker 1: were trying to appeal to beta males.

1022
00:54:25,480 --> 00:54:28,760
Speaker 4: Basically exactly, and you know, and like in Tim Walla's

1023
00:54:28,760 --> 00:54:31,399
Speaker 4: appeals to that, even though they previously told us put

1024
00:54:31,440 --> 00:54:33,839
Speaker 4: them in, you know, a hunting hat and a plaid. Sure,

1025
00:54:33,920 --> 00:54:36,000
Speaker 4: I don't know, it's confusing, but you know what I

1026
00:54:36,040 --> 00:54:38,120
Speaker 4: would love to do. I would love for them to

1027
00:54:38,160 --> 00:54:42,000
Speaker 4: do some sort of study and have left this men

1028
00:54:42,120 --> 00:54:45,360
Speaker 4: testosterone and test it compared to Republican men, and I

1029
00:54:45,640 --> 00:54:49,560
Speaker 4: bet i'd be like, astronomically.

1030
00:54:48,400 --> 00:54:50,080
Speaker 1: No, I think if you ran by the way, I'm

1031
00:54:50,080 --> 00:54:52,000
Speaker 1: not even kidding, if you ran a serious.

1032
00:54:51,680 --> 00:54:54,440
Speaker 4: Study, this is guys, like, wait, what do we expect?

1033
00:54:54,560 --> 00:54:58,120
Speaker 1: You know, Lisa, there is absolutely I mean I would

1034
00:54:58,120 --> 00:54:59,640
Speaker 1: put a bet down on this right now. If they

1035
00:54:59,640 --> 00:55:03,839
Speaker 1: did a a real statistically sound study of this. There

1036
00:55:03,920 --> 00:55:07,440
Speaker 1: is one hundred percent a correlation, not a causation, but

1037
00:55:07,480 --> 00:55:11,759
Speaker 1: a correlation between for men being conservative and having a

1038
00:55:11,840 --> 00:55:14,880
Speaker 1: higher than average level of testosterone. Here's the other question

1039
00:55:15,080 --> 00:55:18,480
Speaker 1: I would like to see, Lisa. I'd be curious, Lisa, Well,

1040
00:55:18,520 --> 00:55:21,040
Speaker 1: I was going to say, wait, think about this women.

1041
00:55:21,239 --> 00:55:25,319
Speaker 1: I bet once if you tested women, I bet they

1042
00:55:25,360 --> 00:55:29,239
Speaker 1: would like the men who have high testosterone, even when

1043
00:55:29,239 --> 00:55:31,439
Speaker 1: they're voting for Comma. In other words, I don't even

1044
00:55:31,480 --> 00:55:34,319
Speaker 1: think these women who claim to be Democrats like the

1045
00:55:34,360 --> 00:55:36,480
Speaker 1: Democrat men around them. I'm curious what you would say

1046
00:55:36,480 --> 00:55:37,120
Speaker 1: about that too.

1047
00:55:37,600 --> 00:55:41,800
Speaker 4: Okay, So I wish I could remember, like who conducted

1048
00:55:41,840 --> 00:55:45,360
Speaker 4: the interview, but there it was on Instagram and this

1049
00:55:45,440 --> 00:55:48,520
Speaker 4: guy was going around interviewing women at the DNC at

1050
00:55:48,520 --> 00:55:52,279
Speaker 4: the Democrat National Convention, and he was like asking them

1051
00:55:52,280 --> 00:55:53,920
Speaker 4: who you would rather date, and they're like, oh, I

1052
00:55:53,960 --> 00:55:58,839
Speaker 4: hate to say it, but probably a conservative man, because well,

1053
00:55:58,880 --> 00:56:00,160
Speaker 4: first of all, I think men have just go on

1054
00:56:00,360 --> 00:56:03,480
Speaker 4: more soft in the country at large. But you know,

1055
00:56:03,560 --> 00:56:06,239
Speaker 4: then you look at the left and you know they're

1056
00:56:06,280 --> 00:56:12,640
Speaker 4: celebrating men in dresses, they're toxic masculinity, all these different things,

1057
00:56:12,880 --> 00:56:16,360
Speaker 4: and you know, and so yeah, so I think that

1058
00:56:16,400 --> 00:56:19,240
Speaker 4: they would definitely would rather date a Republican man than

1059
00:56:20,239 --> 00:56:22,319
Speaker 4: a leftist man. And I wish I could remember who

1060
00:56:22,360 --> 00:56:25,200
Speaker 4: did the interview because it was so funny and the

1061
00:56:25,239 --> 00:56:27,439
Speaker 4: woman like hated herself after it. She was like, oh,

1062
00:56:27,560 --> 00:56:28,400
Speaker 4: I kept to admit it.

1063
00:56:28,480 --> 00:56:31,000
Speaker 1: You know, well, I think this is a great topic

1064
00:56:31,320 --> 00:56:33,319
Speaker 1: for the next is a great topic for the next

1065
00:56:33,320 --> 00:56:36,360
Speaker 1: episode of The Truth with Lisa Booth, a fantastic podcast

1066
00:56:36,440 --> 00:56:39,720
Speaker 1: on the Clay and Buck Network hosted by Lisa Booth. Lisa,

1067
00:56:40,160 --> 00:56:41,360
Speaker 1: great to have you. We'll talk to you.

1068
00:56:41,640 --> 00:56:43,319
Speaker 4: Thanks, guys. Okay, have a great day.

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00:56:44,640 --> 00:56:46,920
Speaker 1: You know, there's a fair number of informed people that

1070
00:56:47,040 --> 00:56:50,560
Speaker 1: are speculating we could see a whole bunch of financial problems,

1071
00:56:50,600 --> 00:56:53,239
Speaker 1: including another round of inflation. At the Biden administration is

1072
00:56:53,239 --> 00:56:56,759
Speaker 1: able to green light dollars intended for infrastructure projects. Here

1073
00:56:57,040 --> 00:56:59,480
Speaker 1: when our federal government turns on the money printing presses,

1074
00:56:59,600 --> 00:57:01,160
Speaker 1: putting the more money we don't have to spend it

1075
00:57:01,200 --> 00:57:03,680
Speaker 1: to the economy. Inflation is so often what you get

1076
00:57:04,160 --> 00:57:06,279
Speaker 1: that just further diminishes the value of the dollars that

1077
00:57:06,320 --> 00:57:09,000
Speaker 1: you're trying to put away and save. But you know what,

1078
00:57:09,239 --> 00:57:12,759
Speaker 1: gold has only increased in value. Having a portion of

1079
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1080
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Speaker 1: the power of your saved dollars has only gone While

1081
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Speaker 1: the spending power rather of your saved dollars has only

1082
00:57:19,880 --> 00:57:22,560
Speaker 1: gone down, the value of the gold that you may

1083
00:57:22,600 --> 00:57:24,880
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Speaker 1: Textbook to ninety eight ninety eight ninety eight Today News

1098
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Speaker 1: and politics, but also a little comic relief. Clay Travis

1099
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Speaker 1: and Buck Sexton. Find them on the free iHeartRadio app,

1100
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Speaker 1: or wherever you get your podcasts.