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Speaker 1: Welcome in everybody. Monday edition of The Klay Travis n.

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Speaker 1: Buck Sexton Show kicks off right now now. Jones down

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Speaker 1: over one thousand points this morning, bopen almost three percent

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Speaker 1: markets worldwide. Perhaps a reckoning with a lot of the

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Speaker 1: central bank policies, including our own FED policy that has

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Speaker 1: been coming for a long time, obviously affecting your four

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Speaker 1: O one k, affecting your stocks, affecting the entire economy,

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Speaker 1: and with it the political race that is underway which

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Speaker 1: we're going to be diving into today. We also have

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Speaker 1: a likely vice president vice president for the Harris ticket

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Speaker 1: announcement tomorrow. Everyone's saying, Shapiro, Clay, what are the better

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Speaker 1: betting markets setting about Shapiro right now? Yeah, exactly as

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Speaker 1: we're talking right at this moment, Buck sixty seven percent

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Speaker 1: chance of Shapiro, nineteen percent Tim Waltz, and then it

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Speaker 1: dropped off. Mark Kelly five percent, Andy Basher three mayor

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Speaker 1: Pete one percent, So big favorite for Shapiro. What happened

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Speaker 1: to rocketman Kelly failure to lift off? My friend, it

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Speaker 1: did not, you know, Houston had a problem. We've also

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Speaker 1: got a lot of the of the the latest in

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Speaker 1: the Kamala Trump showdown. H It's it's happening at at

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Speaker 1: ludacrous speed. It's going crazy here because the media is

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Speaker 1: having to formulate an entire uh, an entire narrative of

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Speaker 1: who Kamala Harris is and what she will do, while

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Speaker 1: also simultaneously propping up the Biden agenda and the narrative

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Speaker 1: that he's done a good job. Remember part of what

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Speaker 1: they've been saying for two weeks straight now, since Kamala

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Speaker 1: has been the hand picked but not by voters nominee

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Speaker 1: of the Democrat Party, Clay, that the storyline has been

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Speaker 1: Biden's done a great job. Kamala will continue the great

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Speaker 1: job that Biden has done. When everyone is watching, as

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Speaker 1: you know, Vanguard, Charles Schwab, E Trade, et cetera. Accounts

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Speaker 1: are locking up because everyone's trying to see what's going

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Speaker 1: on with the money that they've Oh, this is four

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Speaker 1: to one cas and this is people's retirements we're talking

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Speaker 1: about here. It's really tough to make that case. I mean, Clay,

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Speaker 1: I was only out for a couple of days, but

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Speaker 1: it's like everything's gone to hell. You know, It's like

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Speaker 1: I've showed up here, I left you in charge, and

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Speaker 1: there's some you know, there were some keg stands clearly happening.

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Speaker 2: There's some red solo cups on the floor.

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Speaker 1: We got to clean up this mess of the economy

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Speaker 1: and the Biden Kamala mirage, real fast.

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Speaker 2: No doubt. And this is where I have to be honest.

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Speaker 3: She has made this race closer already than I thought

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Speaker 3: she would in the first two weeks. And I think

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Speaker 3: there's a complicity in the media. They are her top allies.

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Speaker 3: Fifteen days now, buck She's done no interviews, no public interactions.

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Speaker 3: She has done no statement off of a teleprompter in

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Speaker 3: fifteen days. And compare that to what the media was

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Speaker 3: demanding of Joe Biden. I think it's pretty clear what

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Speaker 3: they're gonna do. They are going to send Kamala to

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Speaker 3: the basement of whatever location she is in, and they

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Speaker 3: are going to run the weekend at Bernie's two campaign.

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Speaker 3: But instead of with Joe Biden, they're gonna do it

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Speaker 3: with Kamala, and they're gonna hope that Trump self destructs,

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Speaker 3: and they're going to try to make the entire race

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Speaker 3: about Trump, and they're going to try to just glide

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Speaker 3: Kamala in without having her say anything buck she has

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Speaker 3: no policy positions.

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Speaker 2: Now all she's.

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Speaker 3: Really done so far is put out written statements saying, Hey,

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Speaker 3: when I said I wanted to ban fracking, yeah, now

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Speaker 3: I don't.

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Speaker 2: Want to banfracking anymore.

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Speaker 3: When I said I want immigrants to have complete rights

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Speaker 3: basically as Americans, yeah, I don't leave that anymore. When

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Speaker 3: I said I wanted to defund the police, I don't

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Speaker 3: think we should defund the police. They're completely putting out

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Speaker 3: statements saying that every thing she said before she no

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Speaker 3: longer believes, and the media is complicitly spreading this swill.

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Speaker 3: And as a result, she has gotten a bounce that

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Speaker 3: is significant. And I said there was no way Biden

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Speaker 3: could beat Trump. I really stuck to it. I didn't

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Speaker 3: believe they could ever run him. I think Trump would

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Speaker 3: have trounced Biden. Kamala could beat Trump, and it's scary.

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Speaker 3: But everybody needs to get ready for this. Trump's campaign

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Speaker 3: needs to get more disciplined. They need to do a

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Speaker 3: better job of taking this case to the American public

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Speaker 3: than they have over the last two weeks, or he

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Speaker 3: could lose this race.

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Speaker 1: I think that what you're seeing with Kamala is the

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Speaker 1: Democrat machine at work in a way that they could

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Speaker 1: replicate with probably any known Democrat politician at this level.

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Speaker 1: Meaning I don't think that this is a testament to

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Speaker 1: anything about Kamala Harris other than this is what generic

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Speaker 1: democrat gets you against Trump. Joe Biden they were able

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Speaker 1: to present not only as generic Democrat in twenty twenty,

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Speaker 1: but through a complete fabrication, really we're able to also

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Speaker 1: position him as a uniter, as somebody you could trust

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Speaker 1: because he'd just been around so long. Basically they turned

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Speaker 1: and give them credit. I mean, it's total deception, but

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Speaker 1: it worked when people were scared and the media was

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Speaker 1: forcing everyone to hyperventilate more than anyone should have over

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Speaker 1: COVID and all the rest of it. When the media

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Speaker 1: was freaked out, or when the people were freaked out,

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Speaker 1: the media pounced and they were able to convince people

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Speaker 1: that Biden's age was an asset, meaning he's the old

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Speaker 1: grandpa you can trust and it's fine, and he'll hold

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Speaker 1: the country you know, close in a hug and everything.

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Speaker 1: He don't want Biden holding you too close. He's a weirdo,

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Speaker 1: you know. But that was the game they played with

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Speaker 1: Kamala Harris. It's we have a black female candidate whose

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Speaker 1: name you've heard because she's the VP, and the Democrat

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Speaker 1: machine is trying to then just make her the candidate,

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Speaker 1: I mean the president rather that is it. They've already

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Speaker 1: made her the candidate. The machine is trying to make

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Speaker 1: her president and hiding her. I think, Clay, I have

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Speaker 1: to say, if you and I were advising her on

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Speaker 1: this one or advising her campaign, I think hiding her

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Speaker 1: is a good strategy for now. I think the more

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Speaker 1: people know Kamala, the less they will like her. And

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Speaker 1: because it's such a short election cycle that she has

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Speaker 1: to work with, it works in her favor. Because you

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Speaker 1: can hide somebody for ninety days, and I think they're

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Speaker 1: largely going to do that. You can't really hide them.

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Speaker 2: For a year.

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Speaker 3: Well, you can't hide them on the campaign trail in Iowa,

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Speaker 3: New Hampshire, and South Carolina, and voters when they met

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Speaker 3: Kamala Harris overwhelmingly did not like her. So she is

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Speaker 3: now the nominee. They've officially given her the nomination despite

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Speaker 3: the fact that no one voted for her to be president,

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Speaker 3: and I think they know that she is significantly flawed

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Speaker 3: when it comes to basic human interaction when it comes

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Speaker 3: to communication skills. Remember, she is the least popular vice

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Speaker 3: president that has ever existed in any of our lives,

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Speaker 3: and somehow they have turned the least popular vice president

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Speaker 3: in any of our lives into a at least right now,

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Speaker 3: very popular choice.

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Speaker 2: Now.

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Speaker 3: I do think there's a sugar high associated with this,

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Speaker 3: because the primary reason Joe Biden couldn't win didn't have

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Speaker 3: anything to do with the fact that he was a

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Speaker 3: Democrat or Republican. It was just that people had decided

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Speaker 3: he was too old to be president and policies didn't

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Speaker 3: really matter, and then he confirmed those on June twenty seventh.

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Speaker 3: There's a sugar high among Democrats because I think many

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Speaker 3: of them had accepted, oh my goodness, we're going to lose.

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Speaker 3: And then Kamala Harris is this sort of lightning bolt

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Speaker 3: that arrives out of nowhere and puts you the savior

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Speaker 3: back into the race. And so they have immediately united

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Speaker 3: behind her, just because they now have a little bit

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Speaker 3: of giddy optimism that they may be able to beat Trump.

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Speaker 3: I think there was a resignation that was setting in

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Speaker 3: among Democrats that Trump was gonna win Buck and now

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Speaker 3: She is the new hope that is rising up to

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Speaker 3: beat the great Satan in their minds Trump. This is

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Speaker 3: where Trump has to be more disciplined, because you were

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Speaker 3: out for the nabj buck. Every time he goes and

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Speaker 3: does a hostile interview, they rip him to shreds. Kamala

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Speaker 3: Harris hasn't done an actual hostile interview in her entire

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Speaker 3: political career. What benefit do you get at this point

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Speaker 3: for leaving your camp and going out and fighting battles.

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Speaker 2: I'm not sure there's any well.

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Speaker 1: I think that also Trump is putting the legacy of

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Speaker 1: his entire political movement on the line in a way

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Speaker 1: now against Kamala that it wasn't even against Biden. I think,

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Speaker 1: if you have Kamala Harris win this election anyway, you

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Speaker 1: know what.

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Speaker 2: I can't even psychologically go there right now.

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Speaker 1: I'm very confident that Donald Trump is going to pull

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Speaker 1: this out.

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Speaker 3: I'm not usually I'm the one who's wildly optimistic that

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Speaker 3: wants to do like a high step into the end zone.

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Speaker 3: Over the weekend, as I looked at all the data,

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Speaker 3: I am very nervous that we may totally give this

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Speaker 3: one away.

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Speaker 2: And I'm not gonna lie. I am. I'm very apprehensive.

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Speaker 1: Here's the good news, and we're going to take your

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Speaker 1: calls on this one. And I'm wondering if any I'm

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Speaker 1: curious if anyone who would describe themselves as a ll

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Speaker 1: maybe they wouldn't describe themselves this way, but I would

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Speaker 1: describe it this way as a.

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Speaker 2: Super Trumper, meaning you knew he was.

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Speaker 1: Going to win in that primary in twenty sixteen, and

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Speaker 1: you knew that he was going to beat the Muller investigation,

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Speaker 1: and you believe still that he won in twenty twenty

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Speaker 1: and that they're Shenanigans is what cost him that race?

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Speaker 2: Are you worried?

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Speaker 4: You know?

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Speaker 2: That's what that for me?

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Speaker 1: Is a super Trumper Like you're in the elite echelon

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Speaker 1: of Trump's support. Are you concerned at all about how

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Speaker 1: this is going with Kamala or are you still finding

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Speaker 1: yourself thinking that Trump is gonna pull this out and

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Speaker 1: you don't have any worries about it. I'd be curious

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Speaker 1: to hear from some of our people on that specifically,

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Speaker 1: so we can open lines up for that eight hundred

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Speaker 1: two A two two eight A two, you know, because

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Speaker 1: I also think Clay at this stage of the game

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Speaker 1: there's they.

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Speaker 2: Were brought solo.

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Speaker 1: There's a rebound effect, and people have described it as

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Speaker 1: a sugar high.

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Speaker 2: I see it a little bit differently.

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Speaker 1: I think that that expectations had been so dramatically lowered

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Speaker 1: for Biden that it's like a springboard right that now it's,

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Speaker 1: oh my gosh, we have this new candidate. Kamala Harris

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Speaker 1: is a deeply unimpressive person who is absolutely not qualified

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Speaker 1: to be not only president, she wasn't qualified to be

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Speaker 1: vice president.

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Speaker 2: She wasn't qualified to be a senator.

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Speaker 1: In my view, it's not an impressive person at all,

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Speaker 1: though there are a lot of dumb senators to be fair,

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Speaker 1: but not an impressive person. If she's a to win

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Speaker 1: this race, it means the Republicans have to look at

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Speaker 1: what the machinery that we have is against the machinery

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Speaker 1: that they have, because it means that any Democrat could

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Speaker 1: win this race effectively. It means they could have run

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Speaker 1: anybody who's got maybe a little bit of you know

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Speaker 1: that DEI push to play the identity politics because because Clay,

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Speaker 1: when it comes to speaking, connecting, you know, public speaking,

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Speaker 1: connecting with people, authenticity, charm, you know, charisma, leadership, decision making, wisdom, knowledge.

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Speaker 2: Kamala Harris has none of those things. I know none

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Speaker 2: of them.

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Speaker 1: So if she can win, what it means is that

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Speaker 1: we have a Republican Party.

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Speaker 2: Even with the most.

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Speaker 1: You know, the most charismatic and the most sort of

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Speaker 1: one man army politician we've had since Ronald Reagan, we

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Speaker 1: can't win.

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Speaker 2: We have a massive rethink.

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Speaker 1: So I'm not going there yet because I still think

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Speaker 1: Trump is gonna pull out. But this is good because

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Speaker 1: you're usualortimistic. I'm out here in an undisclosed location and

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Speaker 1: my freedom bunker and Clay was you know, at the helm,

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Speaker 1: and I you know, it's it's good we didn't talk

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Speaker 1: about this beforehand. I'm confident for Trump, but only if

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Speaker 1: the Trump that showed up at that Biden debate, the

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Speaker 1: one who is calm and focused and delivers when it counts.

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Speaker 2: He's still going to make his jokes. Trump still has

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Speaker 2: to be Trump.

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Speaker 1: But you know, you need the best version of Trump

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Speaker 1: to show up for this last ninety days.

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Speaker 2: Yeah, I'll say this when we go to break.

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Speaker 3: I think since his speech at the RNC, the best

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Speaker 3: Trump has not been on the campaign trail. I thought

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Speaker 3: the first thirty minutes were very good of his speech

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Speaker 3: at the RNC.

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Speaker 2: I think he needed to land the plane. He didn't. Whatever,

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Speaker 2: it's a speech. A lot of people went to bed.

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Speaker 3: But I think that from that moment, I would suggest

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Speaker 3: to you that the best.

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Speaker 2: Trump has not been on the campaign trail.

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Speaker 3: I thought he ran a fabulous campaign even after the shooting.

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Speaker 3: I thought staying down and letting Democrats sort of light

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Speaker 3: themselves on fire, letting Biden light himself on fire, I

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Speaker 3: thought it was incredibly disciplined Trump. The best version of

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Speaker 3: Trump has not been on the campaign trail since the

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Speaker 3: election speech that night. And by the way, that doesn't

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Speaker 3: mean that I think that Trump is you know, like

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Speaker 3: I'm trying to criticize. I'm just saying, like if you

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Speaker 3: were an athlete, if you were watching a season and

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Speaker 3: your team didn't play well in two games, doesn't mean

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Speaker 3: that you're not still a fan of the team. It's

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Speaker 3: just like, but we got to get buckled in here,

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Speaker 3: we got to get focused. I don't think the best

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Speaker 3: version of Trump has been out there in the public

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Speaker 3: for the last sixteen eighteen days.

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Speaker 1: Lines are open, let's talk about it coming up here.

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Speaker 1: We also have a lot more to look at in

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Speaker 1: terms of the state by state polling. Some of the

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Speaker 1: clips from Kamala they're circling in from over the weekend.

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Speaker 1: You know what, you guys really need to start off

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Speaker 1: your Monday. We'll come back at some point here soon

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Speaker 1: next next segment or two, Kamala explaining the Internet and clouds.

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Speaker 2: Yes, you need.

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Speaker 1: You need to hear it because wow, look, there's so

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Speaker 1: much going on right now. As you know, I was

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Speaker 1: looking at my phone this morning and talking to all

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Speaker 1: my friends who follow the markets.

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Speaker 2: It's a bloodbath out there on Wall Street. Right, It's rough.

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Speaker 1: I mean, you've got the dow down over a thousand

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Speaker 1: points today and and things are are tough, right, I mean,

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Speaker 1: people are worried about where their money is going and

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Speaker 1: what's what's going to happen here? What can you do

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Speaker 1: about this? I mean, you need people that understand what's happening.

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Speaker 1: You need people who have been there before, made the

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Speaker 1: great calls whether the storms, and put you on a

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Speaker 1: sound footing going forward with expert advice.

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Speaker 2: Their whole reason for doing what they do is to

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Speaker 2: give you the best advice possible.

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Speaker 1: They're I'm managing money. They're telling you how to manage

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Speaker 1: your money. You get to pick and choose which did,

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Speaker 1: which specific calls you go for, and which ones you

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Speaker 1: pass on. You need to check out what's going on

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Speaker 1: from these experts. That's why I am starting an e

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Speaker 1: newsletter where I partner with them. You've got to check

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Speaker 1: out what's going on with my friend Brad Thomas. He's

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Speaker 1: helped hundreds of thousands of Americans understand the real story

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Speaker 1: about what's going on financially in America, and he shows

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Speaker 1: folks how to build true financial security. Together, Brad and

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Speaker 1: I will be publishing a weekly newsletter with the help

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Speaker 1: of a company wide Mote Research, so that you can

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Speaker 1: make key moves to position yourself to take advantage of

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Speaker 1: what's coming. Sign up to receive it. It's free. Go online

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Speaker 1: to this new website, The Urgent Message dot com. Easy

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Speaker 1: to sign up, easy to receive, and I think you'll

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Speaker 1: find it most helpful with the stock market.

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Speaker 2: Trust me.

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Speaker 1: Go check out what they have to say. The Urgent

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Speaker 1: Message dot Com.

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Speaker 5: Twenty four Clay and Bucks Weekly Campaign Cliff Notes episodes

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Speaker 5: dropped Sundays at noon Eastern on the free iHeartRadio app

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Speaker 5: or wherever you get your podcasts.

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Speaker 6: We've had ten increases in interest rates, rate rises from

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Speaker 6: just about zero to five and a half percent. I'm

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Speaker 6: not taking its tone. And it's taken this long, if

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Speaker 6: you will, to work through the full effects into the economy.

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Speaker 6: And now people are realizing, the market investors, that things

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Speaker 6: are slowing down, possibly faster than the FED had anticipated.

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Speaker 6: And as a result, and you see this jim through

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Speaker 6: the unemployment numbers, inflation. The hard work on inflation has

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Speaker 6: been done, but the other side of that scale is

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Speaker 6: that unemployment's going up. This was entirely predictable, and yet.

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Speaker 1: The FED didn't predict it, neither to the economists, neither

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Speaker 1: of the experts. In fact, people have been talking about

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Speaker 1: how it'll be a very strong year for the market.

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Speaker 1: I follow a lot of the talking heads and the

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Speaker 1: consensus in the financial markets too, and there weren't many folks.

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Speaker 1: I know some of them, I work with some of them,

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Speaker 1: but there weren't many folks who really saw this coming. Clay,

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Speaker 1: you know, the big discussion has been the soft landing.

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Speaker 1: Can the FED engineer a soft landing? Well the answer

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Speaker 1: to that is still maybe. But it's kind of like

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Speaker 1: when you're on the lane and all of a sudden,

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Speaker 1: the stewardesses look really concerned and they like run down

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Speaker 1: the aisle and the captain comes.

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Speaker 2: On, here's we're you know, we're turbulent. Everybody sitting on everybody.

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Speaker 1: You know, when the captain kind of speeds up because

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Speaker 1: things are sounding a little scary or feeling a little

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Speaker 1: scary out there, and you see the stewardesses run to

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Speaker 1: their seats and strap themselves in. You know, we're hearing

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Speaker 1: some lightning strikes going on out there in the h

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Speaker 1: in the air around us. It's not great right now.

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Speaker 1: You know, this is some of the some of the

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Speaker 1: serving trays, the food's flying off them. I mean, they

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Speaker 1: might still land this plane, but it is. It is

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Speaker 1: getting ugly out there, and the Fed has not a

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Speaker 1: It looks like it looks like they may have raise

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Speaker 1: rates too fast and lowered rates too.

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Speaker 2: Slowly, which is remarkable when you think about it.

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Speaker 3: Well, it's a mess, I mean, and again this is

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Speaker 3: why I think the Trump team has to lead with

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Speaker 3: the economy. Just think about where we were in January

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Speaker 3: of twenty twenty one, when Joe Biden took over. We

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Speaker 3: were effectively through the COVID hit, which was a disaster like,

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Speaker 3: I'm not defending the COVID decision, but we had basically

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Speaker 3: come through that even blue cities and blue states, people

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Speaker 3: were going back to work. Inflation was I believe one

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Speaker 3: point four percent, Your mortgage rates were under three percent.

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Speaker 3: The stock market had come back substantially. We didn't need

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Speaker 3: to do anything other than continue to send people back

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Speaker 3: to work. And Joe Biden tried to spend five trillion

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Speaker 3: dollars and he still ended up spending what is at

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Speaker 3: one point nine trillion on top of the original trillion.

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Speaker 3: They blew it in a monster way. And Kamala, who

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Speaker 3: seems to have no economic knowledge or policy at all,

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Speaker 3: advocated for the five trillion as hall as anyone possibly could.

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Speaker 3: And that's why we're sitting here right now. Let me lay.

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Speaker 1: Out two pathways here and you can tell me what

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Speaker 1: you think of this. First off, I want to start

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Speaker 1: with this premise, starting with the premise that David Axelrod

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Speaker 1: put out on CNN. This has cut ten because I

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Speaker 1: think this is where I think this is a reality check.

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Speaker 1: I think this is where the race really stands, which

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Speaker 1: is Kamala Harris is new to being the nominee, did

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Speaker 1: not even go through a bruising primary or primary of

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Speaker 1: any kind.

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Speaker 2: Correct.

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Speaker 1: In fact, couldn't even make it through really the first

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Speaker 1: round in her own Democrat primary in twenty twenty. So

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Speaker 1: she is untouched by negative ads. Really, she is not

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Speaker 1: yet vetted in any meaningful way in the public's eye.

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Speaker 1: She has been chosen for these roles, right she was

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Speaker 1: chosen to be vice president. Now she has been chosen

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Speaker 1: to be president by party elders and the you know

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Speaker 1: the proverbial smoke filled rooms, which I guess don't have

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Speaker 1: smoke anymore, maybe vaping. So here just spitting facts. Here,

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Speaker 1: Here is David Axwrod saying it's still Trump's to lose.

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Speaker 2: Play ten.

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Speaker 7: You know, there's a lot of irrational exuberance on the

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Speaker 7: side of on the Democratic side of the aisle right now,

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Speaker 7: because there was despair for some period of time about

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Speaker 7: what November was going to look like. Now people feel

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Speaker 7: like there's a chance. But it is absolutely Trump's race

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Speaker 7: to lose. Right now. He is ahead, and he is

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Speaker 7: ahead most of the battleground states, they're close, they could

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Speaker 7: be won by either candidate. I think it's a wide

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Speaker 7: open race. But Trump has the advantage right now, and

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Speaker 7: nobody should everybody should be sober about that. On the

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Speaker 7: Democratic side.

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Speaker 1: I agree with this. I think it is Trump's race

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Speaker 1: to lose. I think if Trump does his if Trump

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Speaker 1: plays his game the way he should, he comes out

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Speaker 1: winning this However, I see, this is what I wanted

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Speaker 1: to pose to you. The economy is not No one's

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Speaker 1: going to argue that things are good in this moment.

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Speaker 1: Right The economy is looking really shaky. People are talking recession.

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Speaker 1: Goldman Sachs I think is upgraded now twenty five percent

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Speaker 1: chance of recession. I mean, all of a sudden, we're

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Speaker 1: hearing the R word recession all over again. Is that

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Speaker 1: poison for a Democrat candidate because their party is in

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Speaker 1: power play? Or is it actually unintended brilliance for the

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Speaker 1: Democrats because Biden can get blamed for this by voters

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Speaker 1: and Kamala is a Democrat who is a new way

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Speaker 1: for them.

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Speaker 2: Do you know what I mean? How does the economy

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Speaker 2: factor into this election? Because it's going to factor into

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Speaker 2: this election.

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Speaker 3: I think it comes down to can Trump advance stay

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Speaker 3: disciplined enough. On Friday, Buck, I said to me, this

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Speaker 3: is an EBC election, and I'm going to say this

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Speaker 3: probably every year going to get sick of it. Everybody's

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Speaker 3: going to get sick of it. And from now until

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Speaker 3: election day, economy, border crime, that's all Trump should talk about.

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Speaker 3: That's all he should talk about. That's all jd Vance

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Speaker 3: should talk about. And look, there are a couple of

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Speaker 3: side notes. Hey, when you got men pretending to be

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Speaker 3: women beating the craw out of Olympians like that sort

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Speaker 3: of cultural thing, can dive into it. My concern is

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Speaker 3: Trump has gone into the identity politics mud and he

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Speaker 3: is now writhing around fighting with Kamala Harris over whether

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Speaker 3: she's Indian, over whether she's black, over who her husband

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Speaker 3: slept with, over who she's Look, these are things that

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Speaker 3: I think are important that you and I can talk about,

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Speaker 3: but we're not running for president. I think what independent

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Speaker 3: voters want is the person who's going to handle the economy,

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Speaker 3: border and crime. The best that is indisputably Trump. But

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Speaker 3: if you get into oh, what percentage is Kamala Harris black?

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Speaker 3: Or did her husband pay for an abortion from his

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Speaker 3: nanny with his first wife and that divorce happened, those

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Speaker 3: things matter. We're going to talk about him on the show.

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Speaker 3: But if I were advising Trump and this campaign, I

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Speaker 3: would say, go back to economy, border crime, almost don't

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Speaker 3: touch anything else. I'm concerned gets the blame for it.

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Speaker 3: I mean to my initial question, do you I agree?

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Speaker 3: I agree with that all all you know EBC is

438
00:23:04,560 --> 00:23:06,360
Speaker 3: that what you're EBC, EBC.

439
00:23:06,600 --> 00:23:09,600
Speaker 2: Just sum it up EBC all day, every day, EBC.

440
00:23:11,000 --> 00:23:14,160
Speaker 1: But I have to ask, do you think that if

441
00:23:14,160 --> 00:23:18,399
Speaker 1: the economy really does get indisputed right? The Democrats have

442
00:23:18,480 --> 00:23:21,040
Speaker 1: been saying that a weak economy is good. Yeah, you

443
00:23:21,080 --> 00:23:23,720
Speaker 1: can say that a weak economy is good. You can't

444
00:23:23,720 --> 00:23:28,320
Speaker 1: say that a free fall recession, people getting blasted out

445
00:23:28,359 --> 00:23:30,600
Speaker 1: of their jobs and you know, things could get really

446
00:23:30,680 --> 00:23:32,119
Speaker 1: ugly here. Who knows what's going to happen with the

447
00:23:32,119 --> 00:23:36,200
Speaker 1: market where it is? People know that's bad. Does does

448
00:23:36,240 --> 00:23:39,400
Speaker 1: the does the Democrat brand carry over?

449
00:23:39,520 --> 00:23:39,879
Speaker 2: Sucks that?

450
00:23:39,960 --> 00:23:42,840
Speaker 1: Kamala who's also the vice president, I would do It's

451
00:23:42,840 --> 00:23:44,560
Speaker 1: not like she said, It's not like she's a Democrat

452
00:23:44,560 --> 00:23:45,960
Speaker 1: picked out of obscurity or something.

453
00:23:46,040 --> 00:23:47,440
Speaker 2: She's a part of this administration.

454
00:23:47,840 --> 00:23:50,239
Speaker 1: Does she get to blame for this or are they

455
00:23:50,280 --> 00:23:52,920
Speaker 1: able to blame shift it to Biden and say, Kamala,

456
00:23:53,080 --> 00:23:54,960
Speaker 1: you know, is the future and she'll know what to

457
00:23:55,000 --> 00:23:57,520
Speaker 1: do like, what's their point, what's there a pivot point.

458
00:23:57,840 --> 00:24:02,639
Speaker 3: My concern, Buck is we're not even having issues based campaign,

459
00:24:03,680 --> 00:24:07,520
Speaker 3: that this is a cult of Trump is Hitler and

460
00:24:07,640 --> 00:24:10,960
Speaker 3: Kamala is a black woman and that's why you should

461
00:24:11,000 --> 00:24:15,720
Speaker 3: vote for. I think we have basically emoticonned this erase

462
00:24:15,840 --> 00:24:19,679
Speaker 3: right now, and it's like Kamala is smiley face. Trump

463
00:24:19,840 --> 00:24:22,960
Speaker 3: is frownie face. And my concern is the smiley face

464
00:24:22,960 --> 00:24:24,080
Speaker 3: emoticon is going to win.

465
00:24:24,800 --> 00:24:27,359
Speaker 1: This is where I were, you know, where we being

466
00:24:27,760 --> 00:24:34,080
Speaker 1: characters in the matrix, in the politics matrix. This is

467
00:24:34,080 --> 00:24:38,760
Speaker 1: where I feel like we're not necessarily aligned or thinking

468
00:24:38,800 --> 00:24:41,600
Speaker 1: in the same way. I mean, this is like pundits

469
00:24:41,640 --> 00:24:43,520
Speaker 1: in general, right, are people who do this for a living,

470
00:24:43,640 --> 00:24:47,359
Speaker 1: like the political commentator class. I mean, if you're a

471
00:24:47,359 --> 00:24:49,719
Speaker 1: guy making eighty grand a year and you live in

472
00:24:49,760 --> 00:24:52,720
Speaker 1: a suburb of a mid size city in Michigan, you

473
00:24:52,760 --> 00:24:54,399
Speaker 1: know you make eighty grand a year, you live you

474
00:24:54,440 --> 00:24:59,680
Speaker 1: live in the outskirts of Lansing. Okay, I still think

475
00:24:59,720 --> 00:25:02,040
Speaker 1: that the fact that everything is really expensive and you

476
00:25:02,080 --> 00:25:03,800
Speaker 1: probably have had a bunch of illegals dumped in your

477
00:25:03,800 --> 00:25:05,439
Speaker 1: state that are showing up in your town looking for

478
00:25:05,480 --> 00:25:08,240
Speaker 1: work all of a sudden, like, I think that still

479
00:25:08,280 --> 00:25:12,960
Speaker 1: matters to you a lot more so, I think to.

480
00:25:13,000 --> 00:25:15,199
Speaker 2: Turn in this is the challenge.

481
00:25:15,720 --> 00:25:17,800
Speaker 3: I think that it matters to men, like I think

482
00:25:17,800 --> 00:25:21,000
Speaker 3: Trump's going to win men by fifteen, but I think

483
00:25:21,040 --> 00:25:24,159
Speaker 3: a lot of women are going to buy into the

484
00:25:24,200 --> 00:25:30,080
Speaker 3: girl power Kamala abortion Trump is a sad, mean guy.

485
00:25:30,760 --> 00:25:33,560
Speaker 3: That's what they're that's their game plan, that's their.

486
00:25:33,480 --> 00:25:35,320
Speaker 2: People that's been telling me that I'm that I'm wrong,

487
00:25:35,400 --> 00:25:37,359
Speaker 2: which I hate. I don't like being wrong.

488
00:25:37,720 --> 00:25:40,880
Speaker 1: That Kamala is more likable than Hillary, and I really

489
00:25:40,880 --> 00:25:43,000
Speaker 1: don't see it that way. But now I'm starting to

490
00:25:43,000 --> 00:25:45,200
Speaker 1: see that I might be in the minority just as

491
00:25:45,200 --> 00:25:48,240
Speaker 1: a general thing, meaning that maybe she gets Because Hillary

492
00:25:48,280 --> 00:25:50,480
Speaker 1: didn't get the girl power bump that she needed in

493
00:25:50,520 --> 00:25:53,960
Speaker 1: twenty twenty, obviously, maybe Kamala will get the bump that

494
00:25:54,000 --> 00:25:56,239
Speaker 1: she needs. That that is a concern of mind. They

495
00:25:56,720 --> 00:26:01,000
Speaker 1: have gone after jd Vance so hard on this issue

496
00:26:01,000 --> 00:26:06,080
Speaker 1: of the cat lady comment, and it's clearly that has

497
00:26:06,119 --> 00:26:08,520
Speaker 1: been a concerted campaign. That's not just a thing that's

498
00:26:08,560 --> 00:26:11,639
Speaker 1: been getting clicks. This has been the They're trying to

499
00:26:11,720 --> 00:26:15,600
Speaker 1: define the Trump ticket of two white dudes early on

500
00:26:16,200 --> 00:26:20,000
Speaker 1: as kind of anti female and certainly anti minority, but

501
00:26:20,040 --> 00:26:22,600
Speaker 1: that we knew that was going to happen, even when

502
00:26:22,600 --> 00:26:24,679
Speaker 1: Biden was the nominated. They're acting like, well, he's, you know,

503
00:26:24,720 --> 00:26:30,440
Speaker 1: so pro minority. So look, I'm concerned, don't I'm I'm confident,

504
00:26:30,560 --> 00:26:32,359
Speaker 1: or rather, I'm optimistic for Trump.

505
00:26:32,920 --> 00:26:34,119
Speaker 2: Confident might be too strong.

506
00:26:34,480 --> 00:26:38,280
Speaker 1: But this is a concerning, concerning moment in time here

507
00:26:38,320 --> 00:26:40,760
Speaker 1: because I think that in some ways we'll know who's

508
00:26:40,800 --> 00:26:44,040
Speaker 1: going to be president based on what happens, you know,

509
00:26:44,119 --> 00:26:46,240
Speaker 1: in the next thirty to forty five days, meaning what

510
00:26:46,359 --> 00:26:47,679
Speaker 1: perception is created now.

511
00:26:47,560 --> 00:26:52,800
Speaker 2: Because early voting starts how soon thirty days? There you go.

512
00:26:53,359 --> 00:26:55,400
Speaker 3: So that's buck. I'll tell you when we come back.

513
00:26:56,280 --> 00:26:58,800
Speaker 3: I'll tell you the conversation that I had last night

514
00:26:58,920 --> 00:27:01,760
Speaker 3: right after Game of Throne. I'm trying to the new

515
00:27:01,800 --> 00:27:04,720
Speaker 3: House of the Dragon or whatever, which I like, can't

516
00:27:04,760 --> 00:27:05,400
Speaker 3: they make it as.

517
00:27:05,320 --> 00:27:07,400
Speaker 1: Good as the original Game of Thrones though, I mean,

518
00:27:07,400 --> 00:27:10,119
Speaker 1: come on, they had the they have the playbook. The

519
00:27:10,160 --> 00:27:13,280
Speaker 1: Original Game of Thrones was amazing television for what it was.

520
00:27:13,840 --> 00:27:16,000
Speaker 2: This is just like, it's it's good. I'm watching it.

521
00:27:15,960 --> 00:27:19,200
Speaker 1: Too, Clay, It's how's the Dragon it's just like the

522
00:27:19,240 --> 00:27:20,800
Speaker 1: be movie version of it.

523
00:27:20,800 --> 00:27:21,920
Speaker 2: It's just not as good.

524
00:27:22,040 --> 00:27:24,359
Speaker 3: I like it quite a bit. But we'll talk about

525
00:27:24,359 --> 00:27:27,240
Speaker 3: this maybe later in the show. But was laying in

526
00:27:27,280 --> 00:27:32,600
Speaker 3: bed with my wife and and I was like, I'm like,

527
00:27:32,920 --> 00:27:35,520
Speaker 3: I felt like I was like Rachel Maddow when Trump

528
00:27:35,600 --> 00:27:37,919
Speaker 3: was feeling well, doing well. I turned to her and

529
00:27:37,960 --> 00:27:42,399
Speaker 3: I said, I think I think Kabla may win. What

530
00:27:42,440 --> 00:27:44,679
Speaker 3: do we do if that happens? And I'll tell you

531
00:27:44,720 --> 00:27:46,600
Speaker 3: what that conversation was. We also got a bunch of

532
00:27:46,640 --> 00:27:48,680
Speaker 3: you who want to weigh in.

533
00:27:48,960 --> 00:27:49,600
Speaker 2: Can I just.

534
00:27:49,600 --> 00:27:51,199
Speaker 1: Also tell you, guys, you know we're gonna have to

535
00:27:51,200 --> 00:27:53,320
Speaker 1: get the womp womp button out for Clay. You know,

536
00:27:53,359 --> 00:27:55,760
Speaker 1: maybe because I've be get some fresh air and sunshine

537
00:27:55,760 --> 00:27:57,560
Speaker 1: out here in the middle of nowhere. I'm doing well

538
00:27:57,560 --> 00:28:00,800
Speaker 1: because Clay is Clay. You're taking us on a trip

539
00:28:00,840 --> 00:28:01,880
Speaker 1: to Bummerville right now.

540
00:28:01,960 --> 00:28:05,040
Speaker 3: I am telling you. What I am seeing has me

541
00:28:05,240 --> 00:28:08,080
Speaker 3: very alarmed. And look, I want everybody to get out

542
00:28:08,119 --> 00:28:10,800
Speaker 3: and vote as early as possible. Heck, I want you

543
00:28:10,840 --> 00:28:15,080
Speaker 3: to vote like Democrats, meaning you know, even if you're dead,

544
00:28:15,119 --> 00:28:19,560
Speaker 3: go vote. But man, it's gonna be ah. I just

545
00:28:19,640 --> 00:28:22,359
Speaker 3: I think we're headed for a slobber knocker here down

546
00:28:22,359 --> 00:28:22,800
Speaker 3: the stretch.

547
00:28:23,440 --> 00:28:28,359
Speaker 2: I do wow, we shall see my friends.

548
00:28:28,359 --> 00:28:30,800
Speaker 1: You know there was another company data breach reported recently,

549
00:28:30,840 --> 00:28:33,960
Speaker 1: with a cyber hacker hacking into the computers of Health Equity.

550
00:28:34,000 --> 00:28:36,679
Speaker 1: They maintain health savings account. You know HSA's a lot

551
00:28:36,720 --> 00:28:38,880
Speaker 1: of you have those. This happened back in the spring,

552
00:28:39,120 --> 00:28:41,240
Speaker 1: but it took until now for the word to get out.

553
00:28:41,240 --> 00:28:44,400
Speaker 1: So the personal information of four point three million people

554
00:28:44,480 --> 00:28:47,400
Speaker 1: might have been taken, including names, social security numbers, addresses,

555
00:28:47,400 --> 00:28:50,680
Speaker 1: phone numbers, and more. It's important to understand how cybercrime

556
00:28:50,720 --> 00:28:53,240
Speaker 1: and identity theft are affecting our lives. Things like this

557
00:28:53,280 --> 00:28:56,440
Speaker 1: breach happened. Company involved didn't want it to happen and

558
00:28:56,840 --> 00:28:58,960
Speaker 1: likely didn't want to notify every one of their four

559
00:28:59,000 --> 00:29:03,040
Speaker 1: point three million customers. Events like this remind you that

560
00:29:03,360 --> 00:29:06,600
Speaker 1: you won't know when your online information is exposed, but

561
00:29:06,840 --> 00:29:10,760
Speaker 1: you can have backup that'll help you. Lifelock's online identity

562
00:29:10,760 --> 00:29:13,320
Speaker 1: theft protection is the best way to protect yourself in

563
00:29:13,360 --> 00:29:17,120
Speaker 1: my opinion. That's why LifeLock monitors millions of data points

564
00:29:17,920 --> 00:29:20,440
Speaker 1: every second for risk to your identity. If they spot

565
00:29:20,480 --> 00:29:22,800
Speaker 1: something suspicious, they're in touch with you quickly. I've gotten

566
00:29:22,840 --> 00:29:25,000
Speaker 1: the emails, I've gotten the text alerts. I can check

567
00:29:25,000 --> 00:29:27,080
Speaker 1: on it and know that I'm good. And if you

568
00:29:27,120 --> 00:29:30,080
Speaker 1: do become a victim of identity theft, a dedicated US

569
00:29:30,200 --> 00:29:33,520
Speaker 1: LifeLock based restoration specialist will fix it guaranteed or your

570
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Speaker 1: money back terms apply.

571
00:29:35,040 --> 00:29:37,040
Speaker 2: It's easy to help protect yourself with LifeLock.

572
00:29:37,320 --> 00:29:39,320
Speaker 1: Join now and save up to forty percent off your

573
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Speaker 1: first year with my name Buck as your promo code.

574
00:29:41,800 --> 00:29:44,960
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575
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576
00:29:48,680 --> 00:29:53,720
Speaker 8: You ain't imagining it. The world has gone insane. Reclaim

577
00:29:53,800 --> 00:29:57,160
Speaker 8: your sanity with Clay and Bucking. Find them on the

578
00:29:57,240 --> 00:30:00,800
Speaker 8: free iHeartRadio app or wherever you get your podcast.

579
00:30:01,080 --> 00:30:03,560
Speaker 2: Our three Clay and Buck kicks off now.

580
00:30:04,480 --> 00:30:06,800
Speaker 1: In case you didn't know, In case you hadn't heard,

581
00:30:07,120 --> 00:30:11,440
Speaker 1: rough day in the markets, Dow down over nine hundred points,

582
00:30:11,720 --> 00:30:14,920
Speaker 1: NASDAK cratering three percent.

583
00:30:15,520 --> 00:30:18,840
Speaker 2: Markets around the world having a.

584
00:30:19,400 --> 00:30:23,320
Speaker 1: Rough one and people are starting to say, hold on

585
00:30:23,360 --> 00:30:27,840
Speaker 1: a second, you mean that really weak employment picture that

586
00:30:28,040 --> 00:30:30,520
Speaker 1: was talked about on Friday that we found out about

587
00:30:30,560 --> 00:30:35,040
Speaker 1: and the thirty five trillion dollars of debt that we have,

588
00:30:35,480 --> 00:30:38,680
Speaker 1: and the fact that we have a FED that seems

589
00:30:38,720 --> 00:30:42,360
Speaker 1: to be a trillion dollars late and a trillion dollars

590
00:30:42,360 --> 00:30:43,360
Speaker 1: short all the time.

591
00:30:44,400 --> 00:30:45,920
Speaker 2: Not good. Not good.

592
00:30:45,960 --> 00:30:49,680
Speaker 1: This is something that you know, you could look at

593
00:30:49,720 --> 00:30:52,120
Speaker 1: and say has been coming for a long time.

594
00:30:52,200 --> 00:30:53,440
Speaker 2: But we also need.

595
00:30:53,320 --> 00:30:57,080
Speaker 1: To remember the Biden White House said that they had

596
00:30:57,440 --> 00:31:00,160
Speaker 1: fixed it, that the recovery had happened, that things were good,

597
00:31:00,160 --> 00:31:03,400
Speaker 1: things are great. Things aren't feeling so great right now

598
00:31:03,440 --> 00:31:05,320
Speaker 1: for a lot of people. A lot of concern out there,

599
00:31:06,000 --> 00:31:08,120
Speaker 1: a lot of worries about what this market is.

600
00:31:08,040 --> 00:31:08,479
Speaker 2: Going to do.

601
00:31:08,560 --> 00:31:13,160
Speaker 1: And that is also something that I think could matter

602
00:31:14,120 --> 00:31:17,800
Speaker 1: in this election that we are in the thick of now.

603
00:31:17,840 --> 00:31:21,920
Speaker 1: I mean we usually August would be a little bit

604
00:31:21,960 --> 00:31:25,719
Speaker 1: of a lull, but in the political cycle, but we

605
00:31:25,800 --> 00:31:29,320
Speaker 1: have the DNC coming up. We have the elect of

606
00:31:29,400 --> 00:31:32,600
Speaker 1: the choice, not the election, the choice of Kamala's VP

607
00:31:32,800 --> 00:31:37,240
Speaker 1: to be announced tomorrow. All indicators are it will be Joshapiro.

608
00:31:37,320 --> 00:31:37,720
Speaker 2: This will be.

609
00:31:37,680 --> 00:31:42,640
Speaker 1: Announced in Philadelphia at a Kamala Harris for President rally.

610
00:31:43,440 --> 00:31:48,920
Speaker 1: Will this help them shore up Pennsylvania? And what does

611
00:31:48,960 --> 00:31:52,520
Speaker 1: this mean going forward? I am We're returning to a

612
00:31:52,560 --> 00:31:55,160
Speaker 1: theme today, a broad theme, which is that I am

613
00:31:55,800 --> 00:32:02,160
Speaker 1: more optimistic at this stage than about Trump's chances. Trump

614
00:32:02,240 --> 00:32:05,560
Speaker 1: isn't defeated. I'm sorry, Clay isn't defeatist at all, but

615
00:32:06,120 --> 00:32:08,760
Speaker 1: he's worried, right fair to say you have concern over

616
00:32:08,760 --> 00:32:09,280
Speaker 1: the numbers.

617
00:32:09,720 --> 00:32:13,320
Speaker 3: I have concern over the last two weeks that things

618
00:32:13,320 --> 00:32:17,000
Speaker 3: have gone in Kamala's direction, and with her VP announcement

619
00:32:17,120 --> 00:32:20,720
Speaker 3: tomorrow and then what you know is basically going to

620
00:32:20,800 --> 00:32:25,640
Speaker 3: be a hagiography coming at the DNC, and the fact

621
00:32:25,640 --> 00:32:28,479
Speaker 3: that Trump has not been I don't think on the

622
00:32:28,520 --> 00:32:31,800
Speaker 3: top of his game in terms of messaging, that has

623
00:32:31,840 --> 00:32:34,640
Speaker 3: turned this into I think Trump would be favored, but

624
00:32:34,720 --> 00:32:38,160
Speaker 3: if I were looking at analyzing this, I'd say it's

625
00:32:38,240 --> 00:32:42,640
Speaker 3: like fifty five percent chance Trump wins, forty five percent Kamala.

626
00:32:43,000 --> 00:32:45,600
Speaker 3: And when it was Biden, I was like eighty five

627
00:32:45,800 --> 00:32:49,120
Speaker 3: ninety percent Trump. I didn't see any way Biden could win.

628
00:32:49,480 --> 00:32:51,920
Speaker 3: So that that's why I'm concerned. The last two weeks

629
00:32:51,920 --> 00:32:52,600
Speaker 3: have not helped.

630
00:32:53,720 --> 00:32:56,120
Speaker 2: Now here's how I see it.

631
00:32:57,280 --> 00:33:00,480
Speaker 1: If we can get the American people to pay enough

632
00:33:00,520 --> 00:33:04,680
Speaker 1: attention to who Kamala Harris really is as a leader

633
00:33:04,720 --> 00:33:08,880
Speaker 1: as a politician, this is going to start to skew

634
00:33:08,920 --> 00:33:10,680
Speaker 1: the numbers more and more in Trump's favor.

635
00:33:10,800 --> 00:33:15,640
Speaker 2: And we had mentioned this before. Kamala Harris is.

636
00:33:16,040 --> 00:33:19,840
Speaker 1: In public, I wouldn't say, you know, Biden, they used

637
00:33:19,840 --> 00:33:21,720
Speaker 1: to talk about how he was a gaff machine, and

638
00:33:21,720 --> 00:33:23,760
Speaker 1: they tried to cover this up with Oh, it's just

639
00:33:24,000 --> 00:33:26,960
Speaker 1: it's his Irish charm or oh that's just Joe being Joe,

640
00:33:27,040 --> 00:33:29,880
Speaker 1: and the media was always running excuses. At first it

641
00:33:29,920 --> 00:33:31,480
Speaker 1: was just Biden was kind of a jerk and not

642
00:33:31,600 --> 00:33:33,760
Speaker 1: very smart, and later it was clearly a dementia, so

643
00:33:33,840 --> 00:33:36,640
Speaker 1: he was a not very smart jerk with dementia, and

644
00:33:36,680 --> 00:33:39,560
Speaker 1: they were still telling everybody, Oh, you know, isn't it

645
00:33:39,640 --> 00:33:43,280
Speaker 1: so charming when Joe says something really just obtuse or dumb.

646
00:33:44,440 --> 00:33:49,480
Speaker 1: Kamala has the same situation. This was a flashback. Now

647
00:33:49,520 --> 00:33:51,200
Speaker 1: this is a few years so this is years ago.

648
00:33:51,320 --> 00:33:56,320
Speaker 1: This is not about cognitive decline. This is more about

649
00:33:56,800 --> 00:34:01,320
Speaker 1: political ability, or one's ability to express express words and

650
00:34:01,400 --> 00:34:04,680
Speaker 1: ideas in a way that can connect with an audience.

651
00:34:05,200 --> 00:34:07,920
Speaker 1: Kamala was trying to explain this was going viral over

652
00:34:07,960 --> 00:34:12,160
Speaker 1: the weekend. Cut five here guys that the cloud, as

653
00:34:12,200 --> 00:34:15,520
Speaker 1: in the Internet. Cloud is this thing that exists above us,

654
00:34:15,560 --> 00:34:18,360
Speaker 1: you know, like a serious or a cumulus cloud.

655
00:34:18,440 --> 00:34:18,879
Speaker 2: Play it.

656
00:34:19,080 --> 00:34:23,160
Speaker 9: No longer are you necessarily keeping those private files in

657
00:34:23,280 --> 00:34:26,600
Speaker 9: some file cabinet that's locked in the basement of the house.

658
00:34:27,719 --> 00:34:32,200
Speaker 9: It's on your laptop and it's then therefore up here

659
00:34:32,360 --> 00:34:37,360
Speaker 9: in this cloud that exists above us. Right, It's no

660
00:34:37,440 --> 00:34:38,840
Speaker 9: longer in a physical place.

661
00:34:40,440 --> 00:34:45,680
Speaker 1: The cloud doesn't really exist above us its servers. But

662
00:34:45,719 --> 00:34:51,840
Speaker 1: put that aside for second, Clay Kamala Harris speaks to

663
00:34:51,960 --> 00:34:55,319
Speaker 1: people like she thinks that they are idiots. Yes, And

664
00:34:55,400 --> 00:34:57,520
Speaker 1: I don't know if she knows that she speaks to

665
00:34:57,560 --> 00:35:00,640
Speaker 1: people that way, But I do think that is a

666
00:35:00,800 --> 00:35:04,600
Speaker 1: political vulnerability. I don't think this is like cheap shot stuff.

667
00:35:04,600 --> 00:35:07,120
Speaker 1: I think this is real. I think that voters, when

668
00:35:07,160 --> 00:35:11,359
Speaker 1: they hear her talking to them, will come away if

669
00:35:11,400 --> 00:35:13,279
Speaker 1: they have any kind of an open mind that are

670
00:35:13,280 --> 00:35:16,360
Speaker 1: being objective with why does this woman speak to me

671
00:35:16,400 --> 00:35:20,680
Speaker 1: like I'm in the first grade. The best example of that,

672
00:35:20,960 --> 00:35:24,839
Speaker 1: I think is when she tried to explain Ukraine and Russia, which,

673
00:35:24,880 --> 00:35:29,200
Speaker 1: if we can grab that, it began with so Russia

674
00:35:29,360 --> 00:35:32,160
Speaker 1: is a big country and Ukraine is a small country.

675
00:35:32,280 --> 00:35:35,239
Speaker 1: Do you remember that analysis of the Ukraine Russia War?

676
00:35:36,040 --> 00:35:39,000
Speaker 1: She said, Buck, And I'm paraphrasing here because I jotted

677
00:35:39,000 --> 00:35:43,359
Speaker 1: it down. It doesn't exist in a physical place. It's

678
00:35:43,400 --> 00:35:46,719
Speaker 1: above us. Above us is a physical place. When she's

679
00:35:46,760 --> 00:35:51,640
Speaker 1: described describing how cloud computing works, she is the best

680
00:35:51,719 --> 00:35:55,279
Speaker 1: example of this that I have seen is she is

681
00:35:55,320 --> 00:35:58,800
Speaker 1: the kid that didn't read the book, that is trying

682
00:35:58,840 --> 00:36:01,840
Speaker 1: to pretend that she read the book. She doesn't do

683
00:36:02,160 --> 00:36:05,960
Speaker 1: the prep work that would allow her to understand things

684
00:36:06,000 --> 00:36:10,200
Speaker 1: on a very significant level. And she's ever about it too,

685
00:36:10,520 --> 00:36:13,560
Speaker 1: as we find that from every person out there listening

686
00:36:13,640 --> 00:36:16,640
Speaker 1: to us right now, at some point in time, did

687
00:36:16,680 --> 00:36:20,239
Speaker 1: not complete the reading in school like you were supposed to,

688
00:36:21,040 --> 00:36:24,640
Speaker 1: and you were floundering a bit trying to explain things.

689
00:36:24,680 --> 00:36:27,359
Speaker 3: You may have been reading the cliff notes. You might

690
00:36:27,440 --> 00:36:29,759
Speaker 3: have been these days, you might be going online and

691
00:36:29,800 --> 00:36:34,480
Speaker 3: reading the Wikipedia page. That's what she does. And to me,

692
00:36:34,680 --> 00:36:38,840
Speaker 3: that's scary. Because Biden doesn't have the mental or physical

693
00:36:38,840 --> 00:36:40,080
Speaker 3: capacity to be president.

694
00:36:40,120 --> 00:36:41,799
Speaker 2: I think almost everybody had agreed.

695
00:36:41,520 --> 00:36:46,160
Speaker 3: On that, but Kamala might be easier to manipulate because

696
00:36:46,239 --> 00:36:48,799
Speaker 3: I don't think she's going to do the homework that

697
00:36:48,840 --> 00:36:52,760
Speaker 3: would allow her to have a rational perspective on the issues.

698
00:36:52,800 --> 00:36:53,520
Speaker 2: Does that make sense?

699
00:36:53,560 --> 00:36:58,359
Speaker 3: So that's almost scarier on some level because Biden at

700
00:36:58,480 --> 00:37:00,920
Speaker 3: least has been in that office for long enough that

701
00:37:01,000 --> 00:37:04,120
Speaker 3: I do think there are some things that Joe Biden

702
00:37:04,160 --> 00:37:05,839
Speaker 3: believes in now I think he's wrong on a lot

703
00:37:05,880 --> 00:37:06,160
Speaker 3: of them.

704
00:37:06,160 --> 00:37:07,960
Speaker 2: What does Kamala Harris actually believe?

705
00:37:09,160 --> 00:37:13,840
Speaker 1: Well, this is why there's this storyline that the Democrats

706
00:37:13,880 --> 00:37:17,960
Speaker 1: are pushing of. Oh, Kamala has problems dealing with the left. No,

707
00:37:18,719 --> 00:37:21,480
Speaker 1: she's a California politician. So she's just been pandering the

708
00:37:21,520 --> 00:37:26,640
Speaker 1: leftists her entire career essentially and riding the Dei wave,

709
00:37:27,400 --> 00:37:31,880
Speaker 1: and now she has to appeal the voters who aren't

710
00:37:32,080 --> 00:37:36,720
Speaker 1: a Democrat base, and that's something she's never done before.

711
00:37:36,800 --> 00:37:39,160
Speaker 1: So it's not that she's in conflict with the left.

712
00:37:39,200 --> 00:37:43,480
Speaker 1: It's that her whole career has been a one exercise

713
00:37:43,520 --> 00:37:47,080
Speaker 1: in pandering, one long exercise in pandering to a certain

714
00:37:47,200 --> 00:37:50,680
Speaker 1: group of you know, politically speaking, a certain group of people.

715
00:37:51,120 --> 00:37:54,480
Speaker 1: And now she's trying to expand beyond that. You cannot

716
00:37:54,600 --> 00:37:59,560
Speaker 1: win Pennsylvania, Michigan. You cannot win these states if you

717
00:37:59,640 --> 00:38:02,560
Speaker 1: go on that debate stage for example, and say I

718
00:38:02,600 --> 00:38:06,239
Speaker 1: want a ban fracking, but you also look like a

719
00:38:06,280 --> 00:38:08,840
Speaker 1: total fool if you're gonna after Just remember that was

720
00:38:08,920 --> 00:38:11,200
Speaker 1: twenty twenty. It wasn't like this was the least the

721
00:38:11,239 --> 00:38:14,279
Speaker 1: thing about the cloud being above us, like it was

722
00:38:14,520 --> 00:38:16,719
Speaker 1: about to rain on us. At least that was in

723
00:38:16,760 --> 00:38:20,359
Speaker 1: twenty ten, So this is a recent thing. It's an

724
00:38:20,360 --> 00:38:23,400
Speaker 1: inexcusably dumb thing to say, and also a reckless thing

725
00:38:23,400 --> 00:38:25,560
Speaker 1: to say. Meaning even if she's smart enough to know

726
00:38:26,040 --> 00:38:29,440
Speaker 1: that banning fracking is disastrous, that she would say that

727
00:38:29,560 --> 00:38:31,800
Speaker 1: to get people to vote for her is the worst

728
00:38:31,880 --> 00:38:33,560
Speaker 1: kind of dendagery, do you know what I mean?

729
00:38:33,920 --> 00:38:34,760
Speaker 2: Here's the problem.

730
00:38:35,120 --> 00:38:39,239
Speaker 3: Fetterman said it and still got elected in Pennsylvania because

731
00:38:39,239 --> 00:38:42,160
Speaker 3: he did the same thing she said. She's doing now,

732
00:38:42,239 --> 00:38:45,520
Speaker 3: which is saying, oh, I don't actually believe that anymore.

733
00:38:46,560 --> 00:38:48,839
Speaker 3: And that, to me is what they're doing right now.

734
00:38:48,880 --> 00:38:52,480
Speaker 3: It's a cleanup on asle Kamala. They're coming around and

735
00:38:52,600 --> 00:38:54,880
Speaker 3: just saying, oh, yeah, I said I didn't believe in fracking,

736
00:38:54,920 --> 00:38:58,240
Speaker 3: but I'm taking that back now. I said, defund the police,

737
00:38:58,239 --> 00:39:00,799
Speaker 3: and I raise money for everybody in Manyapolis who was

738
00:39:00,840 --> 00:39:03,920
Speaker 3: burning down the city. But I didn't actually say that,

739
00:39:04,120 --> 00:39:08,680
Speaker 3: even though she said it. No, that's a misinformation. That's disinformation.

740
00:39:09,120 --> 00:39:12,520
Speaker 3: They're going around and cleaning up all the left wing

741
00:39:12,600 --> 00:39:17,400
Speaker 3: policies that she embraced, and there's almost no acknowledgment of

742
00:39:17,440 --> 00:39:20,520
Speaker 3: it now here. I said, I'm not optimistic based on

743
00:39:20,560 --> 00:39:22,720
Speaker 3: how the last two weeks have gone, and that's true,

744
00:39:22,880 --> 00:39:27,839
Speaker 3: that's what the data reflects. I will say A part

745
00:39:27,840 --> 00:39:32,799
Speaker 3: of me just comes back to are you make fun

746
00:39:32,840 --> 00:39:34,680
Speaker 3: of this? But I think it's a way that I

747
00:39:34,760 --> 00:39:38,920
Speaker 3: kind of grew and connect with. Are big ten football

748
00:39:38,960 --> 00:39:43,440
Speaker 3: fans really going to vote for Kamala Harris over Donald Trump?

749
00:39:44,440 --> 00:39:47,840
Speaker 3: Like those independent fans out there that are big Penn

750
00:39:47,880 --> 00:39:51,360
Speaker 3: State fans, that are big Wisconsin fans that are big

751
00:39:52,080 --> 00:39:53,400
Speaker 3: University of Michigan fans.

752
00:39:53,400 --> 00:39:54,480
Speaker 2: Michigan State two.

753
00:39:55,160 --> 00:39:59,080
Speaker 3: You live in a lot of suburban, blue collar areas.

754
00:39:59,400 --> 00:40:03,440
Speaker 3: You also the Pittsburgh Steelers and the Philadelphia Eagles, and

755
00:40:03,880 --> 00:40:07,560
Speaker 3: maybe some Buffalo bill fans out there, the Browns, the Bengals.

756
00:40:08,480 --> 00:40:10,040
Speaker 2: I trust the Lions.

757
00:40:10,440 --> 00:40:15,840
Speaker 3: I trust football fans because I think ultimately you're my people.

758
00:40:16,200 --> 00:40:20,000
Speaker 3: You're rational. You're not going to argue that your quarterback

759
00:40:20,080 --> 00:40:22,279
Speaker 3: is the greatest ever if he sucks. You're not going

760
00:40:22,360 --> 00:40:25,920
Speaker 3: to defend a coach if he's not buck. I had

761
00:40:25,960 --> 00:40:28,520
Speaker 3: a fun conversation with one of my buddies over the weekend,

762
00:40:30,440 --> 00:40:33,239
Speaker 3: and he's in media too, and I said, you know

763
00:40:33,239 --> 00:40:36,719
Speaker 3: why I like sports fans because they aren't willing to lie.

764
00:40:37,840 --> 00:40:39,080
Speaker 2: Sports fans are.

765
00:40:39,239 --> 00:40:43,719
Speaker 3: Unwilling to look ridiculous, by which I mean no one

766
00:40:43,760 --> 00:40:46,120
Speaker 3: out there would come out and say the twenty fifth

767
00:40:46,120 --> 00:40:49,320
Speaker 3: best quarterback in the NFL is actually the best quarterback

768
00:40:49,320 --> 00:40:51,680
Speaker 3: in the NFL, because you would be ashamed to make

769
00:40:51,719 --> 00:40:55,960
Speaker 3: that argument. Nancy Pelosi makes the argument about Mount Rushmore,

770
00:40:56,880 --> 00:41:00,359
Speaker 3: and that is a shameful argument. There is no it's

771
00:41:00,360 --> 00:41:03,320
Speaker 3: equivalent to what someone would say there. And so the

772
00:41:03,360 --> 00:41:06,319
Speaker 3: reason why I use this as an analogy is I

773
00:41:06,320 --> 00:41:08,879
Speaker 3: think a lot of these guys and gals who are

774
00:41:08,920 --> 00:41:11,520
Speaker 3: not paying a lot of attention right now, when it

775
00:41:11,600 --> 00:41:15,279
Speaker 3: gets to October and they recognize and they dial in

776
00:41:15,360 --> 00:41:18,120
Speaker 3: and they're like, wait a minute, I got Kamala Harris

777
00:41:18,880 --> 00:41:22,320
Speaker 3: or I got Donald Trump. They're gonna remember the Trump

778
00:41:22,360 --> 00:41:26,200
Speaker 3: economy pre COVID, and they're gonna say, for my family,

779
00:41:26,520 --> 00:41:28,440
Speaker 3: I can't vote Kamala.

780
00:41:29,120 --> 00:41:29,960
Speaker 2: I feel more.

781
00:41:29,760 --> 00:41:32,520
Speaker 3: Confident about that in the big ten than I do

782
00:41:33,520 --> 00:41:37,359
Speaker 3: somewhat how Nevada or Arizona or Georgia might vote. And

783
00:41:37,400 --> 00:41:39,279
Speaker 3: that's kind of your thesis, although you don't have the

784
00:41:39,280 --> 00:41:42,040
Speaker 3: football argument, like in your head, you just don't think

785
00:41:42,400 --> 00:41:45,000
Speaker 3: blue collar white guys are gonna say, hey, Kamala is

786
00:41:45,040 --> 00:41:45,560
Speaker 3: the choice.

787
00:41:45,920 --> 00:41:48,440
Speaker 1: Yeah, no way, that's in my mind. That's just not

788
00:41:48,480 --> 00:41:52,080
Speaker 1: gonna happen. And that's why I feel confident about about Trump.

789
00:41:52,120 --> 00:41:55,200
Speaker 1: I mean, I do think that any hope that that

790
00:41:55,239 --> 00:41:58,080
Speaker 1: Trump was gonna make substantial inroads with the black vote

791
00:41:58,120 --> 00:42:01,400
Speaker 1: is essentially gone. Think that that's not going to happen

792
00:42:02,080 --> 00:42:04,799
Speaker 1: with Kamala on the ticket. I think that, you know,

793
00:42:04,840 --> 00:42:08,120
Speaker 1: because a lot of it is also you know, social

794
00:42:08,239 --> 00:42:11,640
Speaker 1: and cultural pressure to vote a certain way. That yeah,

795
00:42:11,680 --> 00:42:13,960
Speaker 1: the factors into every for everybody in different ways, but

796
00:42:14,760 --> 00:42:17,719
Speaker 1: it'll be a factor certainly within the black community. So

797
00:42:17,800 --> 00:42:20,640
Speaker 1: I think that that's gone. I just think that the

798
00:42:20,640 --> 00:42:24,080
Speaker 1: the you know, white working class voters who are a

799
00:42:24,640 --> 00:42:29,280
Speaker 1: huge voting demographic by the numbers, are the determining factor

800
00:42:29,360 --> 00:42:33,399
Speaker 1: in those states, and you know, they're they're they're likely

801
00:42:33,440 --> 00:42:35,160
Speaker 1: to be the ones that that go for Trump or

802
00:42:35,160 --> 00:42:37,320
Speaker 1: I see them as going for Trump. I know everyone's

803
00:42:37,360 --> 00:42:39,919
Speaker 1: a little scared about the woman situation here for Trump

804
00:42:40,000 --> 00:42:42,719
Speaker 1: right now, I don't know. I don't think any I

805
00:42:42,719 --> 00:42:45,040
Speaker 1: don't think any woman who is going to vote for

806
00:42:45,080 --> 00:42:47,080
Speaker 1: Trump is going to change your mind now that Kama was.

807
00:42:47,120 --> 00:42:47,840
Speaker 2: I don't see that.

808
00:42:47,920 --> 00:42:50,279
Speaker 1: I think I think we lost everyone who's upset about

809
00:42:50,320 --> 00:42:52,400
Speaker 1: the cat lady thing. From what I can tell, this

810
00:42:52,440 --> 00:42:55,120
Speaker 1: could be wrong, was probably voting for a Democrat.

811
00:42:55,160 --> 00:42:55,560
Speaker 2: Anyway.

812
00:42:56,719 --> 00:42:58,840
Speaker 3: My concern is, I think there were a lot of

813
00:42:58,840 --> 00:43:00,960
Speaker 3: people who would have voted middle of the road or

814
00:43:01,040 --> 00:43:03,520
Speaker 3: not shown up. I think Kamala is one of the

815
00:43:03,520 --> 00:43:06,680
Speaker 3: bets we have is what will turnout be. I'm actually

816
00:43:06,840 --> 00:43:09,640
Speaker 3: more nervous about my turnout will be down.

817
00:43:09,600 --> 00:43:11,640
Speaker 2: Arguait, Yeah, I didn't ask you. Hold on, are you

818
00:43:11,680 --> 00:43:12,399
Speaker 2: are you real?

819
00:43:12,520 --> 00:43:15,640
Speaker 1: I've even we haven't even re established it's a new election, Clay.

820
00:43:16,000 --> 00:43:18,800
Speaker 2: I've got a few things you haven't. Yeah you can, no, no, no, no,

821
00:43:19,520 --> 00:43:20,839
Speaker 2: I'm keeping track on these ones.

822
00:43:20,880 --> 00:43:23,160
Speaker 1: We're not having any more, you know, because yes, I

823
00:43:23,200 --> 00:43:24,920
Speaker 1: said it would be Kama left, not Biden, but that

824
00:43:25,040 --> 00:43:26,920
Speaker 1: was later on and we had you know, we already

825
00:43:26,960 --> 00:43:29,919
Speaker 1: have there two outstanding bets right now that we still

826
00:43:29,960 --> 00:43:33,200
Speaker 1: do twenty percent of the black vote, man, mile black vote.

827
00:43:33,239 --> 00:43:36,799
Speaker 2: You think you still sticking with that for Trump, I'll

828
00:43:36,800 --> 00:43:37,440
Speaker 2: give you that one.

829
00:43:37,440 --> 00:43:42,360
Speaker 3: I'm wobbly on that one right now.

830
00:43:39,920 --> 00:43:40,319
Speaker 5: You can't.

831
00:43:43,760 --> 00:43:45,319
Speaker 3: I gotta really think about it. I'll give you my

832
00:43:45,360 --> 00:43:48,480
Speaker 3: answer on that one tomorrow. I'm gonna stick to. Voting

833
00:43:48,600 --> 00:43:51,920
Speaker 3: is going to be down because I ultimately think that

834
00:43:52,040 --> 00:43:55,279
Speaker 3: there's not going to be the same existential crisis in

835
00:43:55,360 --> 00:43:59,080
Speaker 3: America vibe that there was in twenty twenty. But I'm

836
00:43:59,120 --> 00:44:01,640
Speaker 3: more nervous about that one than I was Trump v.

837
00:44:01,760 --> 00:44:02,040
Speaker 2: Biden.

838
00:44:02,120 --> 00:44:04,080
Speaker 3: I was very confident that the number of people that

839
00:44:04,120 --> 00:44:06,279
Speaker 3: were going to show up would be down. I'm more

840
00:44:06,360 --> 00:44:08,600
Speaker 3: nervous right now about the number of people that are

841
00:44:08,640 --> 00:44:11,200
Speaker 3: going to show up now that Kamo's replace him. And

842
00:44:11,239 --> 00:44:13,799
Speaker 3: we were talking earlier about energy. You know, if you

843
00:44:13,840 --> 00:44:17,399
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844
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845
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846
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847
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848
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849
00:44:36,000 --> 00:44:39,279
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850
00:44:39,360 --> 00:44:43,000
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851
00:44:43,040 --> 00:44:46,120
Speaker 3: you age, it's also all of us. Every man out

852
00:44:46,160 --> 00:44:49,719
Speaker 3: there has about half the testosterone that your grandfather or

853
00:44:49,760 --> 00:44:52,360
Speaker 3: your great grandfather would have had. They can't even figure

854
00:44:52,360 --> 00:44:54,960
Speaker 3: out exactly what's going on why that is. There are

855
00:44:54,960 --> 00:44:58,279
Speaker 3: a lot of different theories, but my goodness, we all

856
00:44:58,400 --> 00:45:01,080
Speaker 3: need to get hooked up right now with Chalk that's

857
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858
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Speaker 3: choq dot com, my name Clay. You can also call

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865
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Speaker 2: Inspiring you to seek out the truth. The Clay Travis

866
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Speaker 2: and Buck Sexton Show.

867
00:45:42,080 --> 00:45:45,640
Speaker 1: Welcome back into Clay and Buck. I think it's got

868
00:45:45,680 --> 00:45:51,080
Speaker 1: a little a little testy over on. I always forget

869
00:45:51,080 --> 00:45:53,080
Speaker 1: the three letter networks, you know what I mean? It's

870
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Speaker 1: a B ABC is Stefanopopolis right.

871
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Speaker 2: Yes, Flambadopolis says, Trump calls him. Yeah, it's actually a

872
00:45:59,480 --> 00:46:01,719
Speaker 2: good nickname. What's his nickname for him?

873
00:46:01,760 --> 00:46:09,560
Speaker 1: Slop adopoulis right, instead of Stephanopolis, he calls him slop Adopolis.

874
00:46:09,640 --> 00:46:12,080
Speaker 1: I actually because he's sloppy with his facts. Like, I

875
00:46:12,120 --> 00:46:13,440
Speaker 1: actually think that's a pretty.

876
00:46:13,160 --> 00:46:13,719
Speaker 2: Good nick name.

877
00:46:13,920 --> 00:46:16,239
Speaker 1: I mean, when the Trump nicknames are good, they're they're

878
00:46:16,280 --> 00:46:17,239
Speaker 1: like they're really good.

879
00:46:17,280 --> 00:46:18,640
Speaker 2: You know, when he nails it, he nails it.

880
00:46:18,680 --> 00:46:23,120
Speaker 1: Anyway, things got a little testy over there our our buddy,

881
00:46:23,440 --> 00:46:28,080
Speaker 1: Congressman Donald's from Florida, my home state. He was on

882
00:46:28,200 --> 00:46:33,800
Speaker 1: there and and there's this conversation that has been going

883
00:46:33,840 --> 00:46:37,160
Speaker 1: on for a few days now just about whether Kamala

884
00:46:37,239 --> 00:46:43,720
Speaker 1: Harris is, you know, leveraging her background in a way

885
00:46:43,800 --> 00:46:45,800
Speaker 1: that changes depending.

886
00:46:45,400 --> 00:46:47,440
Speaker 2: On the moments or the needs of the moment.

887
00:46:47,280 --> 00:46:52,360
Speaker 1: And racial identity her racial identity is is the center

888
00:46:52,400 --> 00:46:54,239
Speaker 1: of some And I want to be very clear here,

889
00:46:54,520 --> 00:46:57,719
Speaker 1: I don't I don't think this is a patent, you know,

890
00:46:57,840 --> 00:46:59,800
Speaker 1: litigating this or arguing about this or whatever is a

891
00:46:59,840 --> 00:47:00,800
Speaker 1: pathway to winning.

892
00:47:00,960 --> 00:47:03,200
Speaker 2: I think that this is a.

893
00:47:05,360 --> 00:47:09,719
Speaker 1: Unimportant issue overall. But it was interesting to me. What

894
00:47:09,800 --> 00:47:12,400
Speaker 1: was more intering to me was how upset this made

895
00:47:12,480 --> 00:47:15,960
Speaker 1: a guy who wanted to moderate the next debate on

896
00:47:16,040 --> 00:47:21,960
Speaker 1: behalf of journalists everywhere. Listen to how Stephanopoulos and Byron

897
00:47:22,040 --> 00:47:25,000
Speaker 1: Donald's go back and forth on this play three and you.

898
00:47:25,000 --> 00:47:26,160
Speaker 2: Just repeated the slur again.

899
00:47:26,200 --> 00:47:28,360
Speaker 4: If it doesn't matter, Why do you all keep questioning

900
00:47:28,400 --> 00:47:30,920
Speaker 4: her identity? She's always identified as a black woman, She

901
00:47:31,000 --> 00:47:33,959
Speaker 4: is biracial. She has a Jamaican father and Indian mother.

902
00:47:34,160 --> 00:47:37,000
Speaker 4: She's always identified as both. Why are you questioning that?

903
00:47:37,080 --> 00:47:39,840
Speaker 2: The man is sir? One second? You just did it.

904
00:47:40,000 --> 00:47:42,520
Speaker 2: You just did it again of the United States?

905
00:47:42,560 --> 00:47:45,600
Speaker 4: Why do you why do you insist on questioning her

906
00:47:45,680 --> 00:47:46,480
Speaker 4: racial identity?

907
00:47:46,680 --> 00:47:48,520
Speaker 2: You want me to talk. I want you to answer

908
00:47:48,560 --> 00:47:49,040
Speaker 2: my question.

909
00:47:49,320 --> 00:47:51,560
Speaker 4: So questioning somebody's racial identity, if you're a cop a

910
00:47:51,600 --> 00:47:52,600
Speaker 4: couple of minutes is okay.

911
00:47:52,920 --> 00:47:53,680
Speaker 2: If it doesn't matter.

912
00:47:53,719 --> 00:47:55,680
Speaker 4: I don't understand why you keep on repeating it. Why

913
00:47:55,719 --> 00:47:58,680
Speaker 4: the president keeps unrepeating it, Why those introducing the president.

914
00:47:58,760 --> 00:48:02,239
Speaker 2: Yes, I'm the one who keeps repeating It's you've done it.

915
00:48:02,800 --> 00:48:05,160
Speaker 4: Sure, you've done it. You've done it three times. Every

916
00:48:05,160 --> 00:48:07,200
Speaker 4: single answer you gave me, now let me finish that.

917
00:48:07,800 --> 00:48:10,360
Speaker 4: Every single answer you gave he repeated.

918
00:48:09,920 --> 00:48:12,720
Speaker 2: The slur, George right, and the question three times.

919
00:48:12,719 --> 00:48:16,080
Speaker 4: I responded, And every single time you repeat the slur,

920
00:48:16,239 --> 00:48:17,840
Speaker 4: that is exactly my point.

921
00:48:18,200 --> 00:48:19,759
Speaker 2: You simply can't say that it's wrong.

922
00:48:19,840 --> 00:48:22,760
Speaker 4: George ap did not say that Kamala Harris is not black.

923
00:48:23,040 --> 00:48:26,239
Speaker 4: She is biracial, she is Indian, she is black. You

924
00:48:26,320 --> 00:48:29,320
Speaker 4: continue to repeat the fact that you continue to repeat

925
00:48:29,320 --> 00:48:31,360
Speaker 4: the slur. I don't understand why you and the president

926
00:48:31,400 --> 00:48:33,520
Speaker 4: do it, but it's clear you're not going to say

927
00:48:33,760 --> 00:48:36,480
Speaker 4: that it's wrong. I mean, you've now established that for

928
00:48:36,640 --> 00:48:37,360
Speaker 4: our audience.

929
00:48:38,320 --> 00:48:42,800
Speaker 1: Can I just say democrat operative posing as journalist George Stephanopolis.

930
00:48:43,320 --> 00:48:45,840
Speaker 2: I have never heard him in all the clips.

931
00:48:45,840 --> 00:48:47,360
Speaker 1: I don't watch the show, but in all the clips

932
00:48:47,400 --> 00:48:50,680
Speaker 1: that we've seen over the years, so ticked off about something?

933
00:48:50,719 --> 00:48:52,920
Speaker 2: Did you see that? I mean really yeah, I watched

934
00:48:52,920 --> 00:48:55,279
Speaker 2: you there. I watched it. First of all. I had

935
00:48:55,400 --> 00:48:56,759
Speaker 2: two primary takeaways.

936
00:48:56,880 --> 00:49:02,799
Speaker 3: One, it's not a slur to question someone's background, like,

937
00:49:03,040 --> 00:49:05,799
Speaker 3: I don't understand how you would even classify that as

938
00:49:05,840 --> 00:49:09,399
Speaker 3: a slur what Trump said. And again I agree with you,

939
00:49:09,640 --> 00:49:12,880
Speaker 3: I don't think that this is the most fertile terrain

940
00:49:12,960 --> 00:49:16,240
Speaker 3: to go after Kamala Harris on. But what he said

941
00:49:16,360 --> 00:49:20,120
Speaker 3: is she tries to be all things to all people.

942
00:49:20,320 --> 00:49:24,680
Speaker 3: Some would say that that is an inauthentic characterization. She

943
00:49:25,040 --> 00:49:28,240
Speaker 3: is Indian and she has a father who is black.

944
00:49:28,560 --> 00:49:32,640
Speaker 3: That doesn't mean that her experience is similar to the

945
00:49:32,719 --> 00:49:36,400
Speaker 3: average black person in America. And I think what Trump

946
00:49:36,560 --> 00:49:41,719
Speaker 3: actually did is say publicly a conversation that lots of

947
00:49:41,800 --> 00:49:43,320
Speaker 3: black people are having.

948
00:49:43,680 --> 00:49:44,680
Speaker 2: And I want you to listen.

949
00:49:44,719 --> 00:49:47,319
Speaker 3: I think we have the CNN clip from inside the

950
00:49:47,320 --> 00:49:51,719
Speaker 3: barbershop in Pennsylvania where they have a guy in there,

951
00:49:52,239 --> 00:49:57,839
Speaker 3: the CNN reporter who is asking the people in the barbershop, Hey,

952
00:49:57,880 --> 00:49:58,959
Speaker 3: is Kamala Harris black?

953
00:49:59,040 --> 00:50:01,080
Speaker 2: Do we have that? Listen to the cut, right, is

954
00:50:01,120 --> 00:50:04,920
Speaker 2: Ita Kamala Black? Guess another. I'm gonna let her speak

955
00:50:04,960 --> 00:50:09,040
Speaker 2: on that. But to me, no, Oh, it's Gamla Black.

956
00:50:09,080 --> 00:50:11,600
Speaker 7: Yes, another I share that same view.

957
00:50:11,719 --> 00:50:12,839
Speaker 2: Wow, it's Kamla Black.

958
00:50:12,880 --> 00:50:16,480
Speaker 6: Yes, No, I heard she would I heard she had

959
00:50:16,760 --> 00:50:18,240
Speaker 6: half black game, half Asian.

960
00:50:19,080 --> 00:50:22,880
Speaker 3: Okay, So this is I think a conversation that is

961
00:50:22,920 --> 00:50:24,960
Speaker 3: going on. Look, and I've said this for a long time.

962
00:50:25,360 --> 00:50:30,480
Speaker 3: Kamala Harris is married to a white Jewish guy, who,

963
00:50:30,480 --> 00:50:31,320
Speaker 3: by the way.

964
00:50:31,760 --> 00:50:35,240
Speaker 2: Apparently has a fondness for Nanni's apparently.

965
00:50:35,880 --> 00:50:37,560
Speaker 3: Uh And maybe we'll talk about this a little bit

966
00:50:37,600 --> 00:50:39,880
Speaker 3: tomorrow because I do think it kind of goes to

967
00:50:40,440 --> 00:50:44,520
Speaker 3: his fit. Apparently got his nanny pregnant when he had

968
00:50:44,560 --> 00:50:46,600
Speaker 3: a ten year old and a five year old in

969
00:50:46,680 --> 00:50:50,520
Speaker 3: the house. Some might say that's a bit weird, if

970
00:50:50,520 --> 00:50:52,279
Speaker 3: you want to call like they've been going after jd

971
00:50:52,400 --> 00:50:55,880
Speaker 3: Vance for saying that cat ladies without kids. I haven't

972
00:50:55,920 --> 00:50:59,720
Speaker 3: seen Kamala's husband attacked as much for getting a nanny

973
00:50:59,760 --> 00:51:02,799
Speaker 3: pro but when I look at Kamalin, I've said this

974
00:51:02,880 --> 00:51:07,480
Speaker 3: for some time. Barack Obama connected well with the Black

975
00:51:07,520 --> 00:51:12,200
Speaker 3: American community because he married Michelle and he had two kids,

976
00:51:12,680 --> 00:51:15,799
Speaker 3: and a lot of black families in America could look

977
00:51:15,840 --> 00:51:19,080
Speaker 3: at Barack and Michelle Obama and say that is an

978
00:51:19,160 --> 00:51:23,000
Speaker 3: aspirational version of what we would like to have a

979
00:51:23,080 --> 00:51:28,680
Speaker 3: couple of kids, highly successful parents. Families matter a lot

980
00:51:28,719 --> 00:51:33,200
Speaker 3: in politics. Kamala Harris has no children of her own.

981
00:51:33,640 --> 00:51:36,319
Speaker 3: She didn't get married till she was forty nine. She

982
00:51:36,480 --> 00:51:43,480
Speaker 3: married a white Jewish lawyer from la and she in

983
00:51:43,640 --> 00:51:48,840
Speaker 3: general has appeared to be picking her partners based on

984
00:51:49,200 --> 00:51:52,800
Speaker 3: their ability to rise her up in the political arena.

985
00:51:52,920 --> 00:51:55,120
Speaker 3: She started when her twenty sleeping with a sixty year

986
00:51:55,160 --> 00:51:58,280
Speaker 3: old man who gave her two jobs tallying four hundred

987
00:51:58,320 --> 00:52:02,200
Speaker 3: thousand dollars. And now we find out that her husband

988
00:52:02,600 --> 00:52:06,360
Speaker 3: got divorced because he got his nanny pregnant when he

989
00:52:06,400 --> 00:52:08,000
Speaker 3: had a ten year old and a five year old

990
00:52:08,000 --> 00:52:08,800
Speaker 3: living in the house.

991
00:52:09,760 --> 00:52:10,719
Speaker 2: I would submit to.

992
00:52:10,680 --> 00:52:13,440
Speaker 3: You that Kamala Harris and Doug what's his name Imhoff,

993
00:52:13,719 --> 00:52:17,640
Speaker 3: her husband, do not look very much like the average

994
00:52:17,680 --> 00:52:21,520
Speaker 3: black family in America. No kids of Kamala's own, and

995
00:52:21,640 --> 00:52:24,480
Speaker 3: she married a white Jewish guy. I think there is

996
00:52:24,560 --> 00:52:28,880
Speaker 3: a lot of identity conversations going on because now Kamala

997
00:52:28,920 --> 00:52:31,239
Speaker 3: wants to show up and say, if you're black, you

998
00:52:31,239 --> 00:52:32,319
Speaker 3: should be voting for me.

999
00:52:32,440 --> 00:52:34,840
Speaker 1: I was gonna say, she's trying to argue this is

1000
00:52:34,880 --> 00:52:37,640
Speaker 1: where it's introduced in the conversation in a way where

1001
00:52:37,719 --> 00:52:40,960
Speaker 1: it becomes something that people are going to want to address,

1002
00:52:40,960 --> 00:52:45,680
Speaker 1: which is Kamala. Kamala's appeal is I am a part

1003
00:52:45,680 --> 00:52:48,040
Speaker 1: of it, is I am a black woman, Therefore I

1004
00:52:48,200 --> 00:52:50,279
Speaker 1: understand the issues of the black community.

1005
00:52:50,320 --> 00:52:50,560
Speaker 2: More.

1006
00:52:50,960 --> 00:52:54,680
Speaker 1: Black voters can trust me more because of that shared experience.

1007
00:52:55,239 --> 00:52:58,600
Speaker 1: And there are some black people as well as other

1008
00:52:58,640 --> 00:53:02,200
Speaker 1: people who are saying, hold on a second, and that's all.

1009
00:53:02,280 --> 00:53:04,560
Speaker 1: That's all this, And it's just interesting that George Dephanopolis

1010
00:53:05,000 --> 00:53:10,560
Speaker 1: would get so surly with Byron Donald's a black man

1011
00:53:11,239 --> 00:53:16,520
Speaker 1: and lecture him about Kamala Harris and her you know,

1012
00:53:16,640 --> 00:53:20,600
Speaker 1: blackness visa vi or you know, the the black authenticity

1013
00:53:20,640 --> 00:53:23,800
Speaker 1: that she has when it comes to the black community.

1014
00:53:24,520 --> 00:53:27,440
Speaker 3: Now, the question I don't know the answer to. And

1015
00:53:27,480 --> 00:53:30,080
Speaker 3: I actually took some calls on this Thursday and Friday

1016
00:53:30,120 --> 00:53:32,480
Speaker 3: from black listeners because I was curious how it plays

1017
00:53:32,480 --> 00:53:34,560
Speaker 3: in that community. Buck, You and I are white guys.

1018
00:53:35,000 --> 00:53:38,920
Speaker 3: Kamala Harris's race has nothing to do with whether I

1019
00:53:39,080 --> 00:53:41,520
Speaker 3: personally am going to vote for her or not. I

1020
00:53:41,560 --> 00:53:43,879
Speaker 3: think she's wrong on the economy, I think she's wrong

1021
00:53:43,920 --> 00:53:46,200
Speaker 3: on the border, I think she's wrong on crime, and

1022
00:53:46,280 --> 00:53:49,160
Speaker 3: I think she will be a disastrous president. For the

1023
00:53:49,200 --> 00:53:51,080
Speaker 3: three things that I care about the most, those are

1024
00:53:51,080 --> 00:53:52,920
Speaker 3: the three things that I care about the most personally.

1025
00:53:52,960 --> 00:53:56,120
Speaker 3: You know, if Tim Scott had won the Republican primary,

1026
00:53:56,160 --> 00:53:59,520
Speaker 3: we'd be sitting here talking about how we are all

1027
00:53:59,560 --> 00:54:01,279
Speaker 3: in on, you know, for Jim Scott, and you know,

1028
00:54:01,320 --> 00:54:03,600
Speaker 3: this is the way Republicans actually think we just want

1029
00:54:03,600 --> 00:54:07,040
Speaker 3: the best people in these jobs, and we want the

1030
00:54:07,040 --> 00:54:10,480
Speaker 3: best leadership we can possibly get. It's not about checking boxes.

1031
00:54:10,560 --> 00:54:14,400
Speaker 3: It's not about the superficiality of someone is more worthy

1032
00:54:14,520 --> 00:54:17,640
Speaker 3: or less worthy than an immutable characteristic or because of

1033
00:54:17,640 --> 00:54:20,880
Speaker 3: an immutable characteristic. It's just assessing them as we look

1034
00:54:20,920 --> 00:54:23,839
Speaker 3: at everybody as an individual human being. The Left us

1035
00:54:23,920 --> 00:54:26,360
Speaker 3: them as members of groups, and some groups need to

1036
00:54:26,360 --> 00:54:29,279
Speaker 3: be advanced. That's how they And so the question I

1037
00:54:29,440 --> 00:54:32,560
Speaker 3: have is how is this And I don't think there's

1038
00:54:32,560 --> 00:54:35,040
Speaker 3: an easy answer. How does this play in the black community?

1039
00:54:35,400 --> 00:54:39,359
Speaker 3: And is Trump making that conversation more or less likely

1040
00:54:39,440 --> 00:54:41,200
Speaker 3: to occur in the black community. We had a caller,

1041
00:54:41,239 --> 00:54:43,719
Speaker 3: I think on Friday Buck who called in I think

1042
00:54:43,760 --> 00:54:46,200
Speaker 3: it was a black guy from Virginia, and he said,

1043
00:54:46,280 --> 00:54:48,919
Speaker 3: this is why Byron Donald's as a VP.

1044
00:54:49,520 --> 00:54:52,760
Speaker 2: He could have made this argument because he's a black.

1045
00:54:52,520 --> 00:54:54,520
Speaker 3: Guy, and he could say, Hey, the black community's having

1046
00:54:54,520 --> 00:54:57,480
Speaker 3: this conversation about who's going to advance our cause is

1047
00:54:57,480 --> 00:55:00,520
Speaker 3: the best? Should we do identity politics because Mala Harris

1048
00:55:00,520 --> 00:55:03,200
Speaker 3: claims that she's a black woman, or should we pick

1049
00:55:03,200 --> 00:55:05,719
Speaker 3: the person who's going to address the economic border and

1050
00:55:05,800 --> 00:55:09,600
Speaker 3: crime issues, and that maybe that conversation plays differently inside

1051
00:55:09,640 --> 00:55:12,640
Speaker 3: of the black community if Trump had on his ticket

1052
00:55:12,960 --> 00:55:15,640
Speaker 3: a vice president who was black. I'm open to that idea.

1053
00:55:15,680 --> 00:55:18,480
Speaker 3: I thought it was an interesting one. My concern is

1054
00:55:18,880 --> 00:55:22,600
Speaker 3: when Trump spends time on this, this is what Kamala

1055
00:55:22,680 --> 00:55:25,840
Speaker 3: wants to talk about. She wants to talk about being

1056
00:55:25,840 --> 00:55:28,719
Speaker 3: a woman and being black. She wants to play the

1057
00:55:28,800 --> 00:55:32,440
Speaker 3: identity politics card. Are we going too much into that

1058
00:55:32,600 --> 00:55:36,400
Speaker 3: arena and fighting a battle on her terms when they're

1059
00:55:36,520 --> 00:55:39,120
Speaker 3: way more fertile areas to be attacking her on.

1060
00:55:39,360 --> 00:55:39,719
Speaker 2: I think so.

1061
00:55:39,840 --> 00:55:43,440
Speaker 1: I mean even that it's convenient timing in some ways

1062
00:55:43,480 --> 00:55:46,440
Speaker 1: for our side that there's a vote under a ballot

1063
00:55:46,440 --> 00:55:51,960
Speaker 1: initiative underway in California this fall to repeal the ballot initiative,

1064
00:55:52,040 --> 00:55:56,439
Speaker 1: or really the Just Crime Overhaul, effectively legalizing a lot

1065
00:55:56,440 --> 00:55:59,239
Speaker 1: of crime that Kamala Harris was a huge advocate for

1066
00:55:59,320 --> 00:56:02,239
Speaker 1: when Sue was staated attorney general. And you know, these

1067
00:56:02,239 --> 00:56:06,440
Speaker 1: are things that these are things that reasonable intelligent people

1068
00:56:06,520 --> 00:56:11,400
Speaker 1: making decisions based upon past record and likely future performance

1069
00:56:11,480 --> 00:56:15,360
Speaker 1: of a leader, A person given power to execute certain

1070
00:56:15,400 --> 00:56:18,080
Speaker 1: functions in a role. They can see that and say

1071
00:56:18,160 --> 00:56:21,040
Speaker 1: Kamala Harris makes horrible decisions.

1072
00:56:21,080 --> 00:56:22,040
Speaker 2: This is what I've said before.

1073
00:56:22,400 --> 00:56:26,840
Speaker 1: She's a Democrat who lacks wisdom, knowledge, insight, track record

1074
00:56:28,000 --> 00:56:30,800
Speaker 1: you know, of success, So she has a track record

1075
00:56:30,920 --> 00:56:35,160
Speaker 1: is not a good one. She is effectively a vessel

1076
00:56:35,239 --> 00:56:38,040
Speaker 1: now for the Democrat machine to create a narrative of

1077
00:56:38,120 --> 00:56:41,680
Speaker 1: a person who does not really exist. And I understand

1078
00:56:41,719 --> 00:56:43,759
Speaker 1: they may be able to do that successfully. I have

1079
00:56:43,800 --> 00:56:47,279
Speaker 1: no I have no illusions that this isn't a possibility

1080
00:56:47,320 --> 00:56:49,440
Speaker 1: for them. I just think that the more that can

1081
00:56:49,480 --> 00:56:52,720
Speaker 1: be exposed, the better Trump and also the down ballot

1082
00:56:53,640 --> 00:56:55,680
Speaker 1: chances are. But I mean, if they can elect It's

1083
00:56:55,719 --> 00:56:57,480
Speaker 1: like I said about Fetterman. If they can Electkama, they

1084
00:56:57,480 --> 00:56:58,520
Speaker 1: can get anybody elected.

1085
00:56:58,880 --> 00:57:01,000
Speaker 2: Yeah. Now that's what scared me. That's what I was

1086
00:57:01,000 --> 00:57:02,839
Speaker 2: thinking about last night as I was getting ready for bed.

1087
00:57:03,560 --> 00:57:05,359
Speaker 3: I mean, we made fun of what how is Rachel

1088
00:57:05,360 --> 00:57:10,200
Speaker 3: Maddow going to react if Trump wins? Can you imagine

1089
00:57:10,239 --> 00:57:12,000
Speaker 3: if Kamala wins, we have to come in a couple

1090
00:57:12,040 --> 00:57:13,879
Speaker 3: of days after the election and be like, let's get

1091
00:57:13,880 --> 00:57:16,080
Speaker 3: ready for Kamala Harris until twenty twenty nine.

1092
00:57:17,280 --> 00:57:17,840
Speaker 2: That's what I mean.

1093
00:57:17,880 --> 00:57:22,439
Speaker 1: I can't I can't even psychologically go there. We stay

1094
00:57:22,520 --> 00:57:25,160
Speaker 1: focused on guest is in sight, all right, Trump voters,

1095
00:57:25,240 --> 00:57:27,240
Speaker 1: victory is in sight if we stay focused and stay

1096
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Speaker 1: in the fight.

1097
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Speaker 3: And I want all of you voting early, and I

1098
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Speaker 3: want you fighting as hard as you can to get

1099
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Speaker 3: as many people out. I said on the show the

1100
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Speaker 3: other day, Friday, Buck, I'm going in voting the earliest

1101
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Speaker 3: possible day I can. Here in Tennessee, I'm usually an

1102
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Speaker 3: election day voter. I don't want to wait. I want

1103
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Speaker 3: to go ahead and get my ballot counted. Look ten

1104
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Speaker 3: years ago, if you told me you could rely on

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Speaker 3: your cell phone to track your heart health in half

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Speaker 3: a dozen ways, I'd have been a little doubtful. Not

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Speaker 3: only possible, but happening for thousands and thousands of individuals

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Speaker 3: interested in their heart health. That's thanks to an FDA

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Speaker 3: clear device called a cardio Mobile six L. It connects

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Speaker 3: to your cell phone shares the information that's cardius spelled

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Speaker 3: with a K. Number six is in the name for

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Speaker 3: a good reason. Cardiomobile six L means you get half

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Speaker 3: a dozen different views of your heart health on your

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Speaker 3: smartphone in half a minute. Great peace of mind for

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Speaker 3: those paying attention to your heart health. And if the

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Speaker 3: info is important to you, this is a device you want, small, compact,

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Speaker 3: so affordable. Cardio Mobile six L setup also allows you

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Speaker 3: to share your EKG data with your doctor and seconds

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Speaker 3: for a better informed conversation. Here's how you get yourself

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Speaker 3: set up, either on Amazon or Cardia's website, whichever you prefer,

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Speaker 3: for one hundred and twenty nine bucks before a twenty

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Speaker 3: percent discount with a promo code we'll give you here.

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Speaker 3: Go to Cardia dot com. That's ka Rdia dot com

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Speaker 3: on Amazon.

1125
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Speaker 2: Whichever you prefer.

1126
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Speaker 3: Use the code twenty twenty four Clay spelled together two

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Speaker 3: zero two four Clay Clay gets you twenty percent off

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Speaker 3: your purchase of the Cardiomobile Sixel.

1129
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Speaker 5: News and politics, but also a little comic relief.

1130
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Speaker 2: Clay Travis and Buck Sexton.

1131
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Speaker 5: Find them on the free iHeartRadio app or wherever you

1132
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Speaker 5: get your podcasts.