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Speaker 1: Welcome everybody.

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Speaker 2: Wednesday edition of the Clay Travis and Buck Sexton Show

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Speaker 2: kicks off right now. It is post debate day and

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Speaker 2: look we're going to get into it the details, best exchanges, policies,

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Speaker 2: and also take a look at the numbers the needle

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Speaker 2: did it move? The aftermath of the debate last night, Clan.

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Speaker 2: I will share our top line thoughts on this with

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Speaker 2: all of you. Also want to get a lot of

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Speaker 2: your reaction to eight hundred eight two eight A two.

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Speaker 2: Definitely give us a call and we'll want to hear

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Speaker 2: from you and you can tell us how how you

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Speaker 2: think that it went. I think based on Twitter or

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Speaker 2: ex Clay and I on the on the big stuff

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Speaker 2: see this one pretty much the same way. And we

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Speaker 2: can get into this right away. Yes, I know that

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Speaker 2: if any of you don't hear the right away, you're

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Speaker 2: gonna yell at me. So I don't want you to

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Speaker 2: yell at me. The moderators were awful, even in comparison

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Speaker 2: to me thinking that it would be a rig job,

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Speaker 2: that it would be an ambush. It was an ABC

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Speaker 2: News ambush of Donald Trump on behalf of Kamala Harris.

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Speaker 2: We will go into why that is and the most

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Speaker 2: obvious point is the constant fact checking of Trump, sometimes

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Speaker 2: incorrectly and other times just fact checking on an opinion

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Speaker 2: not a fact, which would also be incorrect. But I

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Speaker 2: mean sometimes they even had the facts wrong. Never once

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Speaker 2: did they fact check Commel. The most egregious instance of

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Speaker 2: this was when she once again tried it out to

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Speaker 2: Charlottesville good people on both sides lie. That is completely

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Speaker 2: taken out of context. Donald Trump did not say that

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Speaker 2: there were good neo Nazis. This is a lie. Even

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Speaker 2: Snopes has admitted this is a lie. This is wrong.

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Speaker 2: You know, this would be like taking a sound bite

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Speaker 2: from the beginning of a sentence and cutting out the

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Speaker 2: end of it and pretending like that is the intent

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Speaker 2: of what a person said. And and so that was egregious.

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Speaker 2: It was gross, Clay. I'll just I'll say it. I mean,

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Speaker 2: I thought that Trump, given that he had to fight

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Speaker 2: through a three on one, did reasonably well for Trump.

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Speaker 2: It was not a strong night for Trump. I did

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Speaker 2: not I look everyone's until their opinion on this one.

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Speaker 2: I thought he would bring it a little more. I

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Speaker 2: know it's unfair, but this is the deal that they

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Speaker 2: signed up for. I would also put this out there, Republicans,

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Speaker 2: Stop doing this to yourselves. Stop stepping on a rake.

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Speaker 2: Stop making this mistake of oh, I'm gonna go to

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Speaker 2: the the ABC or CBS or NBC, they'll do a

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Speaker 2: fair debate. Let's stop it, okay, especially when it matters

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Speaker 2: they turn this on and away that it blows up

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Speaker 2: in our faces. And unfortunately Kamala, as much as her

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Speaker 2: record is awful and she's a phony and a fake,

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Speaker 2: she showed up very prepared and I think her remarks

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Speaker 2: were all canned. I think they were rehearsed speeches effectively.

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Speaker 2: But Clay, to me, it's kind of I would say

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Speaker 2: a draw, which I know everyone says that's what you

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Speaker 2: say when your person loses.

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Speaker 1: But it was unfair. It was rigged.

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Speaker 2: So maybe you give Trump the edge based on that.

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Speaker 2: But it wasn't the night that we needed to get

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Speaker 2: a knockout of the Kamala campaign, that's for sure. Trump

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Speaker 2: had multiple opportunities to absolutely obliterate Kamala Harris, to knock

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Speaker 2: her out, and he consistently swung and missed and played

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Speaker 2: into her traps. I thought it was a poor performance

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Speaker 2: by him.

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Speaker 3: And look, some people are gonna say, oh, well, you.

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Speaker 3: I don't sugarcoat things, right. I come from the world

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Speaker 3: of sports. When your team performs at its less than

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Speaker 3: optimal level, you don't come on and say, hey, they

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Speaker 3: were great. I thought, look the rig job in effect.

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Speaker 3: I thought it was disgraceful how Mure and Lindsay Davis

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Speaker 3: behaved the fact checking in quotation marks. To me, the

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Speaker 3: debate really pivoted when Lindsey Davis stepped in on the

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Speaker 3: abortion issue and decided to weigh in. It was like

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Speaker 3: she was giving a life raft to Kamala, who I

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Speaker 3: thought was really struggling at that point.

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Speaker 1: But let me go to the very start of the debate.

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Speaker 1: To me, this is.

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Speaker 3: When Trump could have completely taken command and dominated her.

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Speaker 3: The very first question was about to Kamala Harris, essentially,

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Speaker 3: are people better off now than they were before you

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Speaker 3: came into office.

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Speaker 1: The answer is incontrovertibly no.

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Speaker 3: Every single person out there, white, Black, Asian, Hispanic is

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Speaker 3: worse off because Biden and Kamala have failed. And she

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Speaker 3: started off because I wrote it down. I've got my

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Speaker 3: notepad here, buck of all the things that I jotted

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Speaker 3: down as I watched this from my home. After she

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Speaker 3: got asked if there people are better off than they

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Speaker 3: were four years ago. Kamala Harris started with a canned answer.

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Speaker 3: Her first answer was I was raised as a middle

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Speaker 3: class kid. She completely avoided the answer of the question

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Speaker 3: that then went to Trump. She didn't even make an

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Speaker 3: argument that people were better off four years ago now

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Speaker 3: than they were four years ago.

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Speaker 1: Trump.

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Speaker 3: She whiffed on an epic level. She looked nervous, she

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Speaker 3: was jumping around. She whiffed, and all Trump had to

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Speaker 3: say was point out in his response she didn't answer

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Speaker 3: the question because she can't. Every person white, Black, Asian, Hispanic, gay,

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Speaker 3: straight male female is worse off today because Biden and

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Speaker 3: Kamala have failed. I want all of you to note

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Speaker 3: that she didn't answer the question. He had a chance

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Speaker 3: to knock her down on the very first question and

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Speaker 3: he whiffed. And then the other thing I'll point two

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Speaker 3: buck is he played into her attacks. They had a

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Speaker 3: question on immigration. She brought up how many people go

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Speaker 3: to his rallies and said they were boring. And instead

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Speaker 3: of hitting her on now saying she wants to build

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Speaker 3: a wall and letting tens of millions of illegals into

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Speaker 3: this country, Trump argued with her. He went down the

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Speaker 3: rabbit hole about how many people go to his rallies

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Speaker 3: and about how they have a good time, and she

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Speaker 3: can't even get as many people as her rallies. She

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Speaker 3: baited them, and Trump took the bait all night long

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Speaker 3: on those. She left her chin exposed in a boxing analogy,

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Speaker 3: and he never delivered multiple knockout punches. If you want

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Speaker 3: to take it away from boxing, buck, I understand the

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Speaker 3: refereeing was rigged. It was, but the people who talk

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Speaker 3: about refereeing being rigged do it because they lost. If

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Speaker 3: you have crappy refs and you still win, you might say, hey,

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Speaker 3: the refs were crappy, but you still won. I hope

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Speaker 3: that it doesn't have a major lasting impact. Trump had

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Speaker 3: a chance to end the race tonight. She was not good.

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Speaker 3: He didn't take it of it. To me, it was

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Speaker 3: an incredibly frustrating debate to watch.

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Speaker 2: You know, we talk about beat the cheat in the

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Speaker 2: context of getting enough votes to win even with whatever

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Speaker 2: shenaniganst Democrats are planning. If you're going into an ABC

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Speaker 2: News debate as a Republican this close to election day,

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Speaker 2: in particular, you've got to be prepared to beat the

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Speaker 2: cheat when it comes to the refs or the moderators

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Speaker 2: in this case. You know, I've gone in before, I've

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Speaker 2: gone done CNN, and I've been on the Bill Mahershaw,

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Speaker 2: and I've I've done shows with leftists. You know, the

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Speaker 2: game is the game, right, I mean, you can't show

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Speaker 2: up and be like, oh, but it's so unfair. I mean,

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Speaker 2: if you're agreeing to be there, you've got to do

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Speaker 2: the best with what you've got. I would say, yeah,

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Speaker 2: I mean it wasn't. It wasn't strong from Trump in

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Speaker 2: a bunch of places where it needed to be, And

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Speaker 2: that was frustrating as somebody watching and who is very

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Speaker 2: invested in Trump winning obviously for the for the benefit

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Speaker 2: of the call of the whole country. But Clay, if

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Speaker 2: you remember back, I think it was the twenty twelve

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Speaker 2: primary or twenty eleven primary. In the twenty twelve election,

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Speaker 2: remember Nute Gingrich had one moment it was it was

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Speaker 2: a primary, it wasn't even a general election. Yes, where

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Speaker 2: he went after I wonder who the I wonder which

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Speaker 2: anchor it was?

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Speaker 1: Was it Chris Wallace?

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Speaker 2: He went after one of the questioners in a way

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Speaker 2: that got him his moment, right, that was the one

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Speaker 2: nude Gingrich moment of that cycle. I bring it up

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Speaker 2: because I don't understand why Trump didn't say to attack

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Speaker 2: the moderator, go right at the moderators. And I tweeted

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Speaker 2: this during the debate. Others were tweeting this too, because

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Speaker 2: I think it was so obvious. At some point, you've

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Speaker 2: got to say, this is just you guys are being unfair.

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Speaker 1: This is outrageous.

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Speaker 2: And then that that resets for a lot of the audience,

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Speaker 2: Oh oh no, he knows, Okay, we understand what's going

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Speaker 2: on here, And it reframes a lot of the conversation

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Speaker 2: that comes afterwards, because then everyone's more aware of it

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Speaker 2: and everyone sees that Trump isn't taking it lying down.

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Speaker 2: You know, there were a few things. I mean the

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Speaker 2: fact that it never was really there was no looking

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Speaker 2: into the camera and saying she has been the vice

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Speaker 2: president for four years. Biden's administration is a disaster. You

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Speaker 2: can afford half the house. You could when she and

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Speaker 2: Biden came into office, she lied about Biden being of

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Speaker 2: sound mind for years up until the very very end.

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Speaker 2: She was a part of that lie. She is changing

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Speaker 2: all of her policy positions that are disadvantageous for her now,

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Speaker 2: as though it all meant nothing, just from a few

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Speaker 2: years ago. She's a phony, she's a fraud, and she

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Speaker 2: would be a terrible president. I mean, yeah, people can

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Speaker 2: point to me to say, well, he said Trump said this,

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Speaker 2: or Trump said that.

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Speaker 1: You know.

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Speaker 2: I mean, you know, man, nobody cares about the crowd size.

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Speaker 2: I don't know what else this. Nobody else cares. I mean,

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Speaker 2: that's what he cares about. That the period everybody was

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Speaker 2: seeing at home saying he's doing she's doing doing that

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Speaker 2: to paid him. We all saw it. It was so

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Speaker 2: obvious and sure enough. So it's frustrating.

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Speaker 1: Look on the good news.

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Speaker 2: By the way, we're not gonna lie. It's not like

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Speaker 2: whining today Trump. I don't think this moves the polls

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Speaker 2: at all. I still think Trump is going to win.

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Speaker 2: I have not moved off of that. But I think

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Speaker 2: he could have given himself a little more momentum and

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Speaker 2: a little bit of an insurance policy last night. And

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Speaker 2: I don't think he did it.

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Speaker 1: He could have ended it.

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Speaker 3: She is a uniquely awful candidate, and he led her

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Speaker 3: off the hook time after time.

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Speaker 1: It reminds me of my fishing.

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Speaker 3: I went fly fishing recently and I got a bunch

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Speaker 3: of bites, and every time I tried to get the

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Speaker 3: big fish in, they got off.

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Speaker 1: Right.

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Speaker 3: He had so many opportunities to reel her in and exposure.

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Speaker 3: Now did the moderators help. I thought he had a

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Speaker 3: good moment in the abortion thing when he went directly

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Speaker 3: to Kamala and said, do you think there should be

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Speaker 3: abortions in the seventh, eighth, and ninth month?

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Speaker 1: And then they cut it off.

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Speaker 3: There was an element of officiating where when Trump I

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Speaker 3: felt like had her a bit cornered and would hit

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Speaker 3: her with a punch, that suddenly the moderator swept in

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Speaker 3: and tried to protect her. Which is why I think

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Speaker 3: you're right, Buck. I think at some point Trump should

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Speaker 3: have turned to Mrror and to Lindsey Davis, and I

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Speaker 3: think he should have absolutely ripped them to shreds now.

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Speaker 3: I bet that this is where you get trained. I

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Speaker 3: bet they've said to him to a large extent, don't

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Speaker 3: get controlled by the moderators. But I think this was

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Speaker 3: such a blatant rig job, and when they did it

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Speaker 3: correct the very fine people, the blood bath, the Charlottesville hoax.

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Speaker 3: I don't think the moderator should be in the business

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Speaker 3: of trying to do fact checks, because as you mentioned,

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Speaker 3: a lot of times, the fact checks are wrong. That is,

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Speaker 3: they get the actual facts wrong, and they just disrupt

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Speaker 3: the flow of the actual debate. Let people argue it out.

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Speaker 3: I thought CNN did that well. I thought that ABC

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Speaker 3: was in on the rig job with Kamala because she's

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Speaker 3: from losing and they know that desperately they need to

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Speaker 3: elevate her.

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Speaker 2: You also can tell how it's going based on are

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Speaker 2: the most rapidly partisan leftists online all praising what a

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Speaker 2: great job the moderators are.

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Speaker 1: Doing right away?

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Speaker 2: And that happened right, I mean you had, like, yes,

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Speaker 2: like Chris Hayes from MSNBC. I mean, you know, think

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Speaker 2: of somebody who is an outright comi and has absolutely

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Speaker 2: no interest whatsoever in a fair debate, and who was

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Speaker 2: criticizing the CNN debate. I'm sure all those monitors were,

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Speaker 2: but I mean that was really Biden has to mention.

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Speaker 2: Everyone saw it. It was absurd, But the moderators were

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Speaker 2: in the tank. These are newsreaders too, I would just

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Speaker 2: point out. I mean, these are people whose job is

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Speaker 2: really to look a certain way and read words off

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Speaker 2: a prompter. They are not politically astute, They are not

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Speaker 2: particularly educated. Neither one of them is somebody who would

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Speaker 2: be impressive if you were to have a conversation. I

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Speaker 2: can assure you having worked at CBS even News with

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Speaker 2: Dan Rather as an intern when I was eighteen and

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Speaker 2: hearing this guy talk and be like, oh, so he's

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Speaker 2: kind of an idiot. What a shock making seven million

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Speaker 2: dollars a year at the time to read off a prompter.

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Speaker 2: So the fact that they would or the idea that

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Speaker 2: they would fact check Clay in real time, you know,

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Speaker 2: they're not in a position.

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Speaker 3: And here's the other thing. I think I haven't heard

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Speaker 3: anybody else point this out. My wife was fired up

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Speaker 3: about it. They were ready for the fact checks, so

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Speaker 3: they were prepared to go after Trump because they were

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Speaker 3: instantaneous in the fact checks. They were the questions wanting

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Speaker 3: to do this.

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Speaker 1: Yes, I mean the.

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Speaker 2: Framing of the questions was very favorable for Kamala and

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Speaker 2: very you know, it's not hard to do. You'd be like,

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Speaker 2: all right, tell us your economic plan, tell us your

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Speaker 2: economic plan. There are it is, in fact possible to

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Speaker 2: give questions that are neutral and topic based. The fact

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Speaker 2: I mean, the fact that they asked Trump about Kamala's

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Speaker 2: black identity or however.

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Speaker 1: There was that was.

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Speaker 2: That is just a shot in the ribs at Trump

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Speaker 2: on the stage. They're correct the fact they didn't ask

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Speaker 2: about the assassination.

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Speaker 1: Attempt on Donald Trump.

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Speaker 2: You go through these things, you say it couldn't be.

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Speaker 1: That's about January, not that.

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Speaker 2: Yes, the framing about Ukraine, Ukraine cannot defeat Russia.

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Speaker 1: Do all the little babies out there need to hear this.

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Speaker 2: Ukraine cannot beat Russia in a drawn out war. So

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Speaker 2: Trump want to negotiate an end to the conflict so

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Speaker 2: people stop dying.

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Speaker 3: And if you say that you're rooting for one side

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Speaker 3: or the other to win, it actually makes it far

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Speaker 3: more difficult to get a negotiated settlement, which is I mean,

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Speaker 3: it was a childlike level of debate preparation that was

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Speaker 3: designed to try to make Kamala Harris look good. My

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Speaker 3: problem is Trump had a lot of layups. He had

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Speaker 3: a lot of easy shots, and he missed a lot

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Speaker 3: of them.

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Speaker 2: Yeah, I mean, I don't I don't disagree. I mean

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Speaker 2: I was very frustrated at home, but hey, good news.

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Speaker 1: Everybody, don't go anywhere Castru.

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Speaker 2: Going to win. It's gonna be fine. Don't worry about it.

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Speaker 2: Call us to eight hundred two two eight A two.

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Speaker 2: I want to hear your thoughts about the debate. As

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Speaker 2: you know, today is a day for remembrance. We remember

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Speaker 2: those who lost their lives on airplanes and in buildings

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Speaker 2: at the hands of al Qaeda terrorists. We remember those

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Speaker 2: who bravely charge into buildings and saved lives while sacrificing

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Speaker 2: their own. One of them was firefighter Steven Siller, aged

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Speaker 2: thirty four. His brother Frank started the Tunnel to Towers

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Speaker 2: Foundation so that we never forget. Tunnel to Towers Foundation

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Speaker 2: has been doing everything they can to honor the lives

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Speaker 2: of those we lost on September eleventh and in the

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Speaker 2: following days. They provided surviving families with mortgage free homes

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Speaker 2: wherever possible, so that those families may experience less stress

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Speaker 2: by never having to worry about losing their home.

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Speaker 1: And they're teaching.

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Speaker 2: Children in schools of the unfortunate events of nine to

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Speaker 2: eleven so that every generation learns of the heroism and

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Speaker 2: patriotism of so many first responders. Is there a better day?

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Speaker 2: You could possibly decide to donate eleven dollars a month

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Speaker 2: to tunt to Towers. I don't think so. Clay and

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Speaker 2: I donate eleven dollars every month. Please join us. That's

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Speaker 2: all it takes, all of us. Donate eleven dollars a month.

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Speaker 2: Think of all the good that can be done. Go

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Speaker 2: to T two t dot org. That's t the number

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Speaker 2: two t dot org.

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Speaker 4: Clay Travis and Buck Sexton Mike drops that never sounded

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Speaker 4: so good. Find them on the free iHeartRadio app or

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Speaker 4: wherever you get your podcasts.

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Speaker 3: Welcome back in Clay Travits Buck Sexton Show. Quick turn here.

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Speaker 3: But I did want to play what I wish we

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Speaker 3: had gotten from Trump. This is newt Gingrich versus Jake

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Speaker 3: Tapper back in the Republican Primaries.

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Speaker 1: Listen.

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Speaker 5: Your ex wife gave an interview to ABC News and

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Speaker 5: another interview with the Washington Post, and this story has

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Speaker 5: now gone viral on the internet. In it, she says

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Speaker 5: that you came to her in nineteen ninety nine at

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Speaker 5: a time when you were.

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Speaker 1: Having an affair.

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Speaker 5: She says you asked her, sir to enter into an

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Speaker 5: open marriage. Would you like to take some time to

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Speaker 5: respond to that?

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Speaker 6: No, but I will I think for this strup jives

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Speaker 6: vicious negative nature of much of the news media makes

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Speaker 6: it harder to govern this country, harder to attract decent

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Speaker 6: people to run for public office. And I am appalled

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Speaker 6: that you would begin a presidential debate on a topic

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Speaker 6: like that to take an ex wife and make it

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Speaker 6: two days before the primary a significant question in a

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Speaker 6: presidential campaign is as close to despicable as anything I

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Speaker 6: can imagine.

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Speaker 2: That's how you handle biased moderators. Newt laid it down.

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Speaker 3: And, by the way, turned a complete attack into a

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Speaker 3: non story.

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Speaker 2: In the way that he handled it, it was we're getting

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Speaker 2: into his best moment of the entire cycle.

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Speaker 3: Really, Actually, to get to turn hey you tried to

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Speaker 3: get your ex wife to be in an open marriage

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Speaker 3: into the greatest moment of your political career is pretty incredible,

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Speaker 3: pretty incredible rhetoric. Look, watching sports more fun when you're

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Speaker 3: invested in your favorite team's outcome, individual performance of the players.

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Speaker 1: That's what Price Picks does. You can play it in Texas.

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Speaker 3: You're listening to me Texans, Californians, also in Georgia. If

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Speaker 3: thousand dollars. I'm gonna give you my picks tomorrow, but

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Speaker 3: you can get signed up right now price picks dot Com.

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Speaker 1: My name Clay.

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Speaker 3: You get fifty dollars instantly when you play five dollars.

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Speaker 3: That's code Clay cla Y. Go to pricepicks dot com

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Speaker 3: right now. You don't even need to win for your

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Speaker 3: it's gonna be fun. NFL and college action. Price picks

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Speaker 3: dot Com Code Clay.

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Speaker 4: Clay Travis and Buck Sexton on the front lines of

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Speaker 4: truth detailed.

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Speaker 7: And dangerous plan called Project twenty twenty five that the

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Speaker 7: former president intends on implementing if couples who pray and

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Speaker 7: dream of having a family are being denied IVF treatments,

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Speaker 7: if Donald Trump were to be re elected, he will

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Speaker 7: sign a national abortion ban. Wants to be a dictator

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Speaker 7: on day one, according to himself, And what did the

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Speaker 7: president then at the time say, There were fine people

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Speaker 7: on each side on that day. One hundred and forty

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Speaker 7: law enforcement officers were injured and some died. Donald Trump,

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Speaker 7: the candidate, has said in this election, there will be

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Speaker 7: a bloodbath if this and the outcome of this election

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Speaker 7: is not to his liking.

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Speaker 2: So many lies and no fact checks from the moderators

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Speaker 2: last night. The bloodbath line, for example, that she quotes

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Speaker 2: is in reference to how I think the car industry

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Speaker 2: would do under the Biden You.

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Speaker 3: Know this, we talked about it back then, Buck. The

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Speaker 3: bloodbath is used all the time in the context of business.

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Speaker 3: It's not even an abnormal phrase.

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Speaker 2: And the people on the fine people on both sides,

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Speaker 2: Oh that's Biden really has been carrying that lie further

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Speaker 2: than absolutely anyone else. That's always been Biden's thing, you know.

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Speaker 2: And then that's why he had to he had to

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Speaker 2: run because of the fine people on both sides line,

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Speaker 2: And it's a figment of his imagination that Trump actually

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Speaker 2: intended to say, they're a good any you know, you

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Speaker 2: go do all this. It was a lot of a

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Speaker 2: lot of nonsense, a lot of garbage really, no new attacks. Clay,

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Speaker 2: which was one of my frustrations was that Trump has

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Speaker 2: heard all this stuff before and did should have been ready.

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Speaker 2: People have said to me and I get this. They've

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Speaker 2: been saying, you know, oh, but you know, maybe she

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Speaker 2: got the questions in advance. I'm sitting here, I'm like, guys,

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Speaker 2: we all know what the topics are going to be.

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Speaker 1: You know that there was no surprise.

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Speaker 3: You're not gonna suddenly come out with a crazy question

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Speaker 3: like she was better prepared.

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Speaker 1: She was better prepared.

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Speaker 2: And it's also you know, it's not like they came

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Speaker 2: at Trump with you know, who is the current you know,

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Speaker 2: president of of of Georgia, Tswana or Thailand or something,

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Speaker 2: you know what I mean, Like it's you know, there

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Speaker 2: weren't there weren't It wasn't a trivia contest.

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Speaker 1: What about the economy? What about the border? This is

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Speaker 1: the stuff we're talking now.

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Speaker 2: The framing of it was all to give openings for

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Speaker 2: Kamala to go into a can speech. And I think

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Speaker 2: that she was giving prepared speeches. But ye it's debate prep.

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Speaker 2: That's not you know, it's not like that's illegal. You're

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Speaker 2: allowed to do that. And and I think that with

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Speaker 2: with Trump, look, I'm I I speak Trump is I

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Speaker 2: think at some level I think I I understand the

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Speaker 2: guy pretty well. And the rambling got to a point

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Speaker 2: where I had a hard time kind of following where

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Speaker 2: he was going and stuff, and so I'm and I

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Speaker 2: was watching very intently. So look, it wasn't a good

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Speaker 2: night for him, but it's okay. I think if we

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Speaker 2: see the polls, you'll see very little to no movement,

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Speaker 2: which is why maybe, you know, I think Clay said

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Speaker 2: that he thought that Kamala got you'd say kama got

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Speaker 2: the best of him last night as a debate, right,

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Speaker 2: I think that's probably true, but I think it's a

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Speaker 2: polling draw, or rather a numbers draw. So you know,

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Speaker 2: maybe give you give Trump a little bit of an

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Speaker 2: out with a three on one you taught you told

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Speaker 2: me Clay that the biggest TV markets for last night,

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Speaker 2: I thought, which this was interesting. You know, we were

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Speaker 2: in radio, we got to think about market size on

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Speaker 2: a regular basis. What were the biggest TV markets?

439
00:22:18,240 --> 00:22:21,480
Speaker 3: Yeah, so my friend Mike Mulvahill, who is a Fox

440
00:22:21,520 --> 00:22:25,359
Speaker 3: Sports data and analytics guru, ratings like shares all this stuff.

441
00:22:25,400 --> 00:22:26,920
Speaker 1: I'm always fascinated by the data.

442
00:22:27,400 --> 00:22:30,719
Speaker 3: These are the top ten markets that were watching on

443
00:22:30,880 --> 00:22:33,280
Speaker 3: television last night. And by the way, it seems like

444
00:22:33,359 --> 00:22:36,560
Speaker 3: the audience is going to be bigger than the audience

445
00:22:36,800 --> 00:22:40,400
Speaker 3: was for the debate with Joe Biden, but not necessarily

446
00:22:40,560 --> 00:22:45,040
Speaker 3: orders of magnitude larger, so somewhat similar ish in the audience.

447
00:22:45,119 --> 00:22:47,199
Speaker 1: But this was what stood out to me.

448
00:22:47,880 --> 00:22:53,320
Speaker 3: Top ten markets, the top two Pittsburgh and Pennsylvania. Buck

449
00:22:53,840 --> 00:22:59,480
Speaker 3: Pittsburgh and Pennsylvania. Sorry, Pittsburgh and Philadelphia in Pennsylvania, the

450
00:22:59,520 --> 00:23:03,000
Speaker 3: two big cities in the state of Pennsylvania. Whoever wins

451
00:23:03,000 --> 00:23:05,800
Speaker 3: Pennsylvania is winning this race. In my opinion, if you

452
00:23:05,840 --> 00:23:07,679
Speaker 3: have to go to one state and say give me

453
00:23:07,720 --> 00:23:10,560
Speaker 3: one state outcome, you tell me who's winning Pennsylvania, I'll

454
00:23:10,560 --> 00:23:12,199
Speaker 3: tell you who the next president is going to be.

455
00:23:12,520 --> 00:23:16,760
Speaker 3: Pittsburgh and Philadelphia, followed by West Palm, which is always

456
00:23:16,920 --> 00:23:19,639
Speaker 3: massively high in the ratings. Shout out West Palm. I

457
00:23:19,640 --> 00:23:22,199
Speaker 3: don't know why. Maybe a lot of retirees, people are

458
00:23:22,320 --> 00:23:25,159
Speaker 3: very plugged in. It always rates highly on politically La

459
00:23:25,359 --> 00:23:31,920
Speaker 3: Florida to the high West Palm. Minneapolis. By the way,

460
00:23:31,960 --> 00:23:34,680
Speaker 3: thanks to our listeners in Minneapolis saw the ratings data

461
00:23:34,720 --> 00:23:38,960
Speaker 3: the other day. We've been skyrocketing there. Milwaukee. Fuck, we

462
00:23:39,119 --> 00:23:44,119
Speaker 3: have a sixteen share right now in Milwaukee. We just

463
00:23:44,160 --> 00:23:46,760
Speaker 3: got the ratings data. The other day for people out

464
00:23:46,760 --> 00:23:51,400
Speaker 3: there like Milwaukee loves this show, like like they love

465
00:23:51,600 --> 00:23:53,880
Speaker 3: cheese in the state of Wisconsin. And by the way,

466
00:23:53,960 --> 00:23:56,080
Speaker 3: I'm going to be in Madison this weekend. I look

467
00:23:56,080 --> 00:23:58,960
Speaker 3: forward to seeing a lot of you, Badger and Tied Faithful.

468
00:23:59,000 --> 00:24:01,080
Speaker 3: I'm going to be at the Westcos in Alabama. Game

469
00:24:01,160 --> 00:24:07,400
Speaker 3: up up in Madison, Milwaukee, Detroit. Also, we're doing really

470
00:24:07,440 --> 00:24:09,760
Speaker 3: well in Detroit. Appreciate our new affiliate there. New York

471
00:24:09,800 --> 00:24:12,119
Speaker 3: City up forty percent in the last year. Just FYI

472
00:24:12,160 --> 00:24:15,320
Speaker 3: shout out New York City for this show. Kansas City,

473
00:24:15,359 --> 00:24:18,920
Speaker 3: Saint Louis, and Providence. Okay, that was the top ten

474
00:24:19,160 --> 00:24:26,639
Speaker 3: to me. What stands out to me is Pittsburgh, Philadelphia, Milwaukee, Detroit.

475
00:24:27,359 --> 00:24:33,160
Speaker 3: Those four cities are wheelhouse gonna decide the election cities,

476
00:24:33,480 --> 00:24:35,920
Speaker 3: and people were really tuned in there, I would think

477
00:24:35,960 --> 00:24:40,680
Speaker 3: Buck partly this is advertising. You can't escape the fact

478
00:24:40,680 --> 00:24:42,919
Speaker 3: that there is an election if you live in a

479
00:24:43,040 --> 00:24:46,560
Speaker 3: swing state city. Right now, I've been down to Atlanta

480
00:24:46,640 --> 00:24:49,160
Speaker 3: quite a bit. Every time I turn on the television

481
00:24:49,160 --> 00:24:53,080
Speaker 3: in Atlanta, it is undeniable that there is a major

482
00:24:53,160 --> 00:24:56,480
Speaker 3: election going on. Harris Trump ads. Some people out there say,

483
00:24:56,480 --> 00:24:58,440
Speaker 3: you're not seeing a lot of ads. I think if

484
00:24:58,440 --> 00:25:00,520
Speaker 3: you live in one of these seven battleground on states,

485
00:25:00,600 --> 00:25:03,720
Speaker 3: guess what, you cannot escape the money that they are

486
00:25:03,720 --> 00:25:06,719
Speaker 3: pouring into your location. But anyway, so I thought that

487
00:25:06,840 --> 00:25:09,640
Speaker 3: was super interesting. People are paying attention in the battlegrounds.

488
00:25:10,000 --> 00:25:15,520
Speaker 3: I certainly hope that the Trump campaign is doing effective

489
00:25:15,600 --> 00:25:19,360
Speaker 3: messaging in those states about who Kamala is and really

490
00:25:19,400 --> 00:25:23,000
Speaker 3: who Kamala isn't. Yeah, because there's a lot of rewriting

491
00:25:23,119 --> 00:25:25,639
Speaker 3: of her history in terms of the policies and the

492
00:25:25,680 --> 00:25:28,800
Speaker 3: things that she has supported in the past. You know,

493
00:25:28,840 --> 00:25:31,960
Speaker 3: they gave her opportunities to try to clean that up.

494
00:25:32,000 --> 00:25:36,199
Speaker 3: The moderators did last night and exactly the thing that

495
00:25:36,200 --> 00:25:38,080
Speaker 3: we've been talking about, which is they were completely in

496
00:25:38,080 --> 00:25:41,080
Speaker 3: the tank for it was very, very obvious. ABC News

497
00:25:41,080 --> 00:25:43,480
Speaker 3: should just be blacklisted by any Republican going.

498
00:25:43,320 --> 00:25:46,520
Speaker 2: Forward for debate iry. They have to say, no, look,

499
00:25:46,840 --> 00:25:51,120
Speaker 2: we are fair about this. I certainly believe we are.

500
00:25:51,359 --> 00:25:53,199
Speaker 2: CNN did a good job, and we said they did

501
00:25:53,240 --> 00:25:57,080
Speaker 2: a good job. And I know that Biden. Now people say, well,

502
00:25:57,080 --> 00:25:59,480
Speaker 2: that's because they wanted Biden to be out. Yeah, but

503
00:25:59,520 --> 00:26:02,199
Speaker 2: I mean, can't make Biden have dementia like all they

504
00:26:02,240 --> 00:26:04,440
Speaker 2: did was run a fair debate, and that was enough

505
00:26:04,480 --> 00:26:08,199
Speaker 2: for Biden itself, you know, to reveal it right, to

506
00:26:08,280 --> 00:26:10,919
Speaker 2: try to cover for a guy with dementia in that situation. Like,

507
00:26:10,960 --> 00:26:13,040
Speaker 2: I don't know what CNN really could have done there,

508
00:26:13,119 --> 00:26:18,080
Speaker 2: But the point is the questions were fair. They didn't

509
00:26:18,200 --> 00:26:21,240
Speaker 2: interrupt one side and not the other, they didn't fact

510
00:26:21,359 --> 00:26:23,840
Speaker 2: check one side and not the other. They let the

511
00:26:23,880 --> 00:26:27,680
Speaker 2: two people on the stage speak, and the questions weren't Hey,

512
00:26:27,720 --> 00:26:30,160
Speaker 2: Donald Trump, you're like a flandering.

513
00:26:29,560 --> 00:26:31,680
Speaker 1: Scumbag, Like what's it like to be that way?

514
00:26:31,760 --> 00:26:34,760
Speaker 2: I mean, you know, last night was the worst of

515
00:26:34,840 --> 00:26:37,199
Speaker 2: everything from the moderator side of things. So I do

516
00:26:37,240 --> 00:26:39,439
Speaker 2: think that going forward they should just say, you know,

517
00:26:39,520 --> 00:26:41,520
Speaker 2: if CNN is willing to run a fair debate, maybe

518
00:26:41,520 --> 00:26:44,120
Speaker 2: you do CNN again, you know, under the same kind

519
00:26:44,160 --> 00:26:45,600
Speaker 2: of auspices in the past.

520
00:26:45,600 --> 00:26:47,960
Speaker 1: But ABC News was a total catastrophe.

521
00:26:48,080 --> 00:26:51,600
Speaker 2: I really, people, I might have missed this again. Trump

522
00:26:51,680 --> 00:26:54,560
Speaker 2: was a little little Meandery also didn't seem like he

523
00:26:54,600 --> 00:26:57,280
Speaker 2: was having fun. One of the things about Trump that

524
00:26:57,440 --> 00:27:02,159
Speaker 2: is so infectious, that is it's just so powerful politically,

525
00:27:02,200 --> 00:27:06,040
Speaker 2: Clay is he's having a good time with it. He

526
00:27:06,119 --> 00:27:09,360
Speaker 2: loves the country, he loves the people, and he's out

527
00:27:09,359 --> 00:27:12,439
Speaker 2: there and he's doing his thing, and he's he's indefatigable

528
00:27:12,840 --> 00:27:14,920
Speaker 2: and he's unflappable.

529
00:27:14,560 --> 00:27:16,159
Speaker 1: And he's having fun.

530
00:27:16,600 --> 00:27:19,479
Speaker 2: And last night he looked a little bit like, you know,

531
00:27:20,240 --> 00:27:23,040
Speaker 2: somebody didn't have enough milk for his cheerios or something like.

532
00:27:23,080 --> 00:27:26,000
Speaker 2: It wasn't the Trump that we're used to now. I

533
00:27:26,040 --> 00:27:29,760
Speaker 2: think part of that was Kamala was, you know, irking him, purposely,

534
00:27:29,840 --> 00:27:33,320
Speaker 2: going at him on some things. But you know, he

535
00:27:33,440 --> 00:27:35,520
Speaker 2: didn't smile that much. I mean, it just wasn't the

536
00:27:35,560 --> 00:27:38,960
Speaker 2: true It wasn't the best of Trump. Even it's not

537
00:27:39,040 --> 00:27:40,960
Speaker 2: like not like I'm saying, why isn't he all of

538
00:27:41,000 --> 00:27:43,639
Speaker 2: a sudden the second coming of Cicero. I mean, it

539
00:27:43,720 --> 00:27:45,600
Speaker 2: wasn't the best of Trump, and that I think is

540
00:27:45,640 --> 00:27:48,280
Speaker 2: part of the frustration. But again, I don't know. I mean,

541
00:27:48,280 --> 00:27:50,320
Speaker 2: I think a debate that's not a disaster, it doesn't

542
00:27:50,320 --> 00:27:53,159
Speaker 2: really matter to people very much. Barack Obama twenty and

543
00:27:53,440 --> 00:27:58,320
Speaker 2: twelve first debate was horrible, horrible. Even his own side.

544
00:27:58,359 --> 00:28:01,680
Speaker 2: There was almost a like anti Obama cou to push

545
00:28:01,800 --> 00:28:03,600
Speaker 2: him out. I mean, didn't quite get that bad, but

546
00:28:03,640 --> 00:28:06,119
Speaker 2: they were freaking out about how badly he did and

547
00:28:06,200 --> 00:28:07,360
Speaker 2: a crush Mitt Romney.

548
00:28:08,119 --> 00:28:09,560
Speaker 1: I think to.

549
00:28:09,520 --> 00:28:13,320
Speaker 3: Your point on the moderator, I said this yesterday. I've

550
00:28:13,359 --> 00:28:15,880
Speaker 3: been saying it for a long time. If you leave

551
00:28:15,920 --> 00:28:20,000
Speaker 3: a debate talking about the moderators, they failed. Now for

552
00:28:20,080 --> 00:28:24,000
Speaker 3: their purposes, they wanted to rig things for Kamala, but

553
00:28:24,480 --> 00:28:26,520
Speaker 3: Jake Tapper and Dana bash I had to go back

554
00:28:26,560 --> 00:28:29,240
Speaker 3: and look up who exactly were the moderators for CNN.

555
00:28:29,880 --> 00:28:33,240
Speaker 3: They provided a forum for the candidates to express their

556
00:28:33,280 --> 00:28:37,159
Speaker 3: differences and debate each other. You should be in the

557
00:28:37,200 --> 00:28:40,480
Speaker 3: business of getting out of the way. I think for

558
00:28:40,560 --> 00:28:44,160
Speaker 3: many people out there, the reaction today is Trump walked

559
00:28:44,200 --> 00:28:48,959
Speaker 3: into a ambush, and he should have been prepared for

560
00:28:49,000 --> 00:28:51,400
Speaker 3: the ambush, and he didn't acquit himself as well as

561
00:28:51,400 --> 00:28:56,560
Speaker 3: he could have given those scenarios. To me, the biggest

562
00:28:56,560 --> 00:29:00,960
Speaker 3: takeaway is going to be how long does this story linger?

563
00:29:02,360 --> 00:29:05,920
Speaker 3: The thing about Biden's performance on June twenty seventh wasn't

564
00:29:05,960 --> 00:29:09,160
Speaker 3: just that he was a disaster on June twenty seventh.

565
00:29:09,560 --> 00:29:11,960
Speaker 3: It's that the media put him in the spin cycle

566
00:29:12,120 --> 00:29:14,640
Speaker 3: and they didn't allow him to get out until he

567
00:29:14,720 --> 00:29:17,880
Speaker 3: had to drop out on July twenty. First, they trained

568
00:29:17,960 --> 00:29:20,120
Speaker 3: all of their attention on it. They didn't allow it

569
00:29:20,160 --> 00:29:24,480
Speaker 3: to alter. My suspicion, and it's just a suspicion is

570
00:29:24,520 --> 00:29:27,320
Speaker 3: they're going to try to do it with this debate.

571
00:29:27,680 --> 00:29:30,800
Speaker 3: They're going to try to make it a multi day,

572
00:29:31,440 --> 00:29:35,160
Speaker 3: multi week story to try to drive it in the

573
00:29:35,200 --> 00:29:39,360
Speaker 3: same way buck that they basically eliminated the assassination attempt

574
00:29:39,360 --> 00:29:42,080
Speaker 3: of Donald Trump. I mean, it really is a great

575
00:29:42,120 --> 00:29:44,200
Speaker 3: study for some of you out there, of your kids.

576
00:29:45,280 --> 00:29:49,600
Speaker 3: Jan six They have spent four years talking about. They

577
00:29:49,640 --> 00:29:52,520
Speaker 3: won't allow it to escape the news cycle, such that

578
00:29:52,560 --> 00:29:57,560
Speaker 3: we got a direct Jan sixth question in yesterday. They

579
00:29:57,600 --> 00:30:00,760
Speaker 3: didn't ask about the assassination attempt on TRU which happened

580
00:30:00,800 --> 00:30:03,960
Speaker 3: on July thirteenth, because they are trying to memory hole

581
00:30:04,040 --> 00:30:07,720
Speaker 3: it and pretend it never existed. I wish Trump when

582
00:30:07,760 --> 00:30:10,239
Speaker 3: he got his rallies made fun of again, who the

583
00:30:10,280 --> 00:30:11,719
Speaker 3: fuck that gotta be careful?

584
00:30:11,840 --> 00:30:15,720
Speaker 1: Who cares how many people go to the rallies? Trump does?

585
00:30:15,760 --> 00:30:18,680
Speaker 1: This goes back to my issue. Unfortunately Trump does. That's

586
00:30:18,720 --> 00:30:19,800
Speaker 1: the problem, right.

587
00:30:19,680 --> 00:30:21,840
Speaker 3: This goes back to my thing. If I ever got

588
00:30:21,880 --> 00:30:25,680
Speaker 3: inaugurated president of the United States and four people showed

589
00:30:25,760 --> 00:30:28,520
Speaker 3: up and the crowd wasn't very big. I'd be like

590
00:30:28,720 --> 00:30:31,360
Speaker 3: that kind of stings. I guess it's cold in DC.

591
00:30:31,720 --> 00:30:34,360
Speaker 3: But I'm the frigging president. It doesn't matter how many

592
00:30:34,400 --> 00:30:37,120
Speaker 3: people show up to wait make me raise my right hand.

593
00:30:37,400 --> 00:30:40,719
Speaker 3: I wish Trump had seen that attack coming and instead,

594
00:30:40,720 --> 00:30:43,480
Speaker 3: which he could and should have, and instead of going

595
00:30:43,520 --> 00:30:46,240
Speaker 3: down the rabbit hole of my rallies are great people,

596
00:30:46,640 --> 00:30:49,000
Speaker 3: if he had said, I'm glad you brought up the rallies, Kamala.

597
00:30:49,440 --> 00:30:52,360
Speaker 3: We lost a brave American patriot who came to Butler,

598
00:30:52,400 --> 00:30:56,400
Speaker 3: Pennsylvania to watch me. I think about him every single day,

599
00:30:56,840 --> 00:30:59,360
Speaker 3: and that's what I'm fighting for. That's why right after

600
00:30:59,400 --> 00:31:01,320
Speaker 3: they tried to kill me and they hit me with

601
00:31:01,360 --> 00:31:04,160
Speaker 3: a bullet, I got up and said, fight, fight, fight,

602
00:31:04,240 --> 00:31:06,360
Speaker 3: because I'm in this to win this, to fight on

603
00:31:06,400 --> 00:31:09,640
Speaker 3: behalf of innocent people that are getting taken advantage of

604
00:31:09,680 --> 00:31:12,760
Speaker 3: in this country every single day the pit. And that's

605
00:31:12,840 --> 00:31:15,920
Speaker 3: me just reacting. Like we said this yesterday, Buck, and

606
00:31:15,960 --> 00:31:19,720
Speaker 3: I'll say it again. I would pay millions of dollars

607
00:31:19,760 --> 00:31:23,040
Speaker 3: to have had a freaky Friday opportunity where you or

608
00:31:23,160 --> 00:31:26,040
Speaker 3: I could be inside of Donald Trump's body to answer

609
00:31:26,080 --> 00:31:29,200
Speaker 3: every question and to get to debate against Kamala because

610
00:31:29,280 --> 00:31:31,760
Speaker 3: I think we would have knocked her out. I think

611
00:31:31,760 --> 00:31:33,360
Speaker 3: if you or I had been on that stage, who

612
00:31:33,360 --> 00:31:35,760
Speaker 3: would have knocked her out? Not because we're excellent debaters,

613
00:31:35,960 --> 00:31:39,479
Speaker 3: but because Kamala is such a uniquely far left wing, lying,

614
00:31:39,760 --> 00:31:43,160
Speaker 3: awful candidate that her chin was exposed the whole night

615
00:31:43,520 --> 00:31:47,000
Speaker 3: and Trump got very limited contact on what should have

616
00:31:47,040 --> 00:31:49,920
Speaker 3: been one knockout punch after another, And it started with

617
00:31:49,960 --> 00:31:51,880
Speaker 3: that first question. He could have put her in the

618
00:31:51,880 --> 00:31:54,760
Speaker 3: corner standing eight count style. When she couldn't answer the

619
00:31:54,840 --> 00:31:58,000
Speaker 3: question about whether things are better now than four years ago,

620
00:31:58,320 --> 00:32:00,560
Speaker 3: he led her off the hook one time, out dur another.

621
00:32:00,640 --> 00:32:02,440
Speaker 3: I think that's what made it so frustrating to me

622
00:32:02,520 --> 00:32:03,280
Speaker 3: to watch.

623
00:32:03,400 --> 00:32:06,040
Speaker 2: Take some of your calls on this one agree, disagree,

624
00:32:06,080 --> 00:32:09,080
Speaker 2: We want to hear it. Light us up. One out

625
00:32:09,080 --> 00:32:12,040
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628
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629
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Speaker 2: theft are affecting our lives. Lots of businesses and organizations

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Speaker 4: Have fun with the guys on Sundays the Sunday Hang podcast.

641
00:33:02,800 --> 00:33:05,640
Speaker 4: It's Silly, It's Goofy, It's good times.

642
00:33:06,120 --> 00:33:08,080
Speaker 1: Fight it in the Clay and Buck podcast.

643
00:33:08,080 --> 00:33:11,920
Speaker 4: Feed on the iHeartRadio app or wherever you get your podcasts.

644
00:33:12,520 --> 00:33:16,840
Speaker 3: Welcome back in Clay Travis Buck Sexton Show. I'm drinking

645
00:33:16,880 --> 00:33:20,200
Speaker 3: my Crocket coffee. As is often the case after what

646
00:33:20,480 --> 00:33:23,160
Speaker 3: was fairly late night last night for many of us

647
00:33:23,240 --> 00:33:27,040
Speaker 3: watching the debate, then doing reactions and whatnot over the

648
00:33:27,080 --> 00:33:29,320
Speaker 3: course of the evening, let me go ahead and give

649
00:33:29,360 --> 00:33:32,120
Speaker 3: out the phone number we'll take your calls in hour

650
00:33:32,240 --> 00:33:34,800
Speaker 3: two hour three. By the way, we got Ryan Gerdusky

651
00:33:34,840 --> 00:33:37,520
Speaker 3: who is going to join us and he's gonna break

652
00:33:37,520 --> 00:33:40,280
Speaker 3: down some of the data and analytics on the polling

653
00:33:40,360 --> 00:33:43,240
Speaker 3: related issues and where he sees this race going. But again,

654
00:33:43,480 --> 00:33:45,600
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655
00:33:45,640 --> 00:33:49,280
Speaker 3: out crocketcoffee dot com. Sign up right now, get a

656
00:33:49,840 --> 00:33:52,040
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657
00:33:52,120 --> 00:33:55,160
Speaker 3: named after American history. I will say one takeaway here,

658
00:33:55,240 --> 00:33:59,800
Speaker 3: Buck that to me was interesting is Kamala's team wants

659
00:33:59,800 --> 00:34:03,840
Speaker 3: a second debate. I'm actually surprised by that. I did

660
00:34:03,880 --> 00:34:06,080
Speaker 3: not anticipate it. I think that surprises you too.

661
00:34:06,760 --> 00:34:10,680
Speaker 2: Yeah, look, I'm always this is all This is all perception, right,

662
00:34:10,719 --> 00:34:12,959
Speaker 2: Sometimes we talk about things here and we're just deep

663
00:34:12,960 --> 00:34:14,600
Speaker 2: into the facts and the numbers and the data.

664
00:34:14,640 --> 00:34:15,360
Speaker 1: This is perception.

665
00:34:15,920 --> 00:34:17,480
Speaker 2: You know, there is a there is a New York

666
00:34:17,520 --> 00:34:22,960
Speaker 2: Times headline pundit said Harris won the debate undecided voters

667
00:34:23,040 --> 00:34:26,000
Speaker 2: weren't so sure. You know, this is where we have

668
00:34:26,080 --> 00:34:28,759
Speaker 2: to do a little bit of an assumptions check on ourselves, right,

669
00:34:28,840 --> 00:34:30,560
Speaker 2: not just you and me, but people who work in

670
00:34:30,600 --> 00:34:37,239
Speaker 2: this business. We're so finally attuned to the policy details

671
00:34:37,320 --> 00:34:40,040
Speaker 2: and the responses that we're hoping for. And we also

672
00:34:40,080 --> 00:34:42,040
Speaker 2: do this for a living. So when we see somebody

673
00:34:42,160 --> 00:34:47,000
Speaker 2: up there, look, Trump is a gifted entertainer and communicator.

674
00:34:47,040 --> 00:34:49,720
Speaker 2: I wouldn't say he's a gifted debater. Those are different things.

675
00:34:50,840 --> 00:34:52,680
Speaker 2: But we see somebody up there, and it's easy for

676
00:34:52,719 --> 00:34:54,239
Speaker 2: us saying, oh, like I would have done this, or

677
00:34:54,239 --> 00:34:56,560
Speaker 2: I would have said that, And I think that's normal,

678
00:34:56,640 --> 00:34:59,400
Speaker 2: right to be expected at some level. New York Times headline,

679
00:34:59,400 --> 00:35:02,200
Speaker 2: though pun It said Harris won the debate, undecided voters

680
00:35:02,239 --> 00:35:07,480
Speaker 2: weren't so sure. Some of these intangibles Harris with her

681
00:35:07,640 --> 00:35:12,479
Speaker 2: sort of very stage smirks and looks and the very

682
00:35:12,640 --> 00:35:17,200
Speaker 2: clear moderator bias in favor of her, and for people

683
00:35:17,239 --> 00:35:20,200
Speaker 2: who are just tuning in who aren't all over politics,

684
00:35:20,520 --> 00:35:23,439
Speaker 2: I don't know. You know, Trump wasn't hey. You could

685
00:35:23,440 --> 00:35:26,640
Speaker 2: say this for him. Trump wasn't nasty. Kamin was a

686
00:35:26,640 --> 00:35:28,600
Speaker 2: little was a little mean. She was a little mean.

687
00:35:28,920 --> 00:35:30,719
Speaker 2: You know, we we haven't gotten to this, but she

688
00:35:30,840 --> 00:35:31,399
Speaker 2: was kind of mean.

689
00:35:33,040 --> 00:35:35,280
Speaker 3: I have to be careful not to not to curse.

690
00:35:35,440 --> 00:35:39,560
Speaker 3: She was way meaner and attacked him way more than

691
00:35:39,600 --> 00:35:40,560
Speaker 3: he attacked her.

692
00:35:40,640 --> 00:35:42,000
Speaker 1: And that's not where our thoughts go.

693
00:35:42,080 --> 00:35:43,640
Speaker 2: But you don't mean for some people that aren't really

694
00:35:43,680 --> 00:35:45,520
Speaker 2: tuned to politics, they're like, who's this woman who's kind

695
00:35:45,520 --> 00:35:46,520
Speaker 2: of being mean to this guy?

696
00:35:47,000 --> 00:35:50,520
Speaker 3: Well, look, you and I want to knock out. I mean,

697
00:35:50,600 --> 00:35:54,200
Speaker 3: I know that we are on the right side of

698
00:35:54,239 --> 00:35:58,840
Speaker 3: these arguments. So when I see her leave her chin exposed,

699
00:35:59,440 --> 00:36:03,000
Speaker 3: I just want Mike Tyson style for Trump to take

700
00:36:03,080 --> 00:36:06,160
Speaker 3: her out. And I felt like she had her chin

701
00:36:06,239 --> 00:36:09,600
Speaker 3: out a ton and that punch never got landed. And

702
00:36:10,480 --> 00:36:13,279
Speaker 3: I think there were multiple knockout punches to be had there.

703
00:36:13,600 --> 00:36:15,480
Speaker 3: But I'm gonna talk about this more when we come back.

704
00:36:16,200 --> 00:36:20,919
Speaker 3: What does Kamala Harris's desire for a second debate tell us?

705
00:36:21,600 --> 00:36:24,040
Speaker 3: I think, beyond the shadow of a doubt buck, the

706
00:36:24,120 --> 00:36:26,839
Speaker 3: answer is she's behind and she feels like she needs

707
00:36:26,880 --> 00:36:27,640
Speaker 3: to make up ground.

708
00:36:28,600 --> 00:36:29,520
Speaker 1: I don't want ever to know.

709
00:36:29,600 --> 00:36:32,080
Speaker 2: I still think Trump is winning, and I still think

710
00:36:32,120 --> 00:36:35,440
Speaker 2: Trump will win. So we're just analyzing the debate. There

711
00:36:35,520 --> 00:36:38,880
Speaker 2: is not a hint of despair in my voice at all.

712
00:36:39,000 --> 00:36:41,479
Speaker 2: My friends, we are still on mission. We are still

713
00:36:41,480 --> 00:36:45,240
Speaker 2: on task. Clay will breakdown this Kamala second debate issue

714
00:36:45,239 --> 00:36:48,239
Speaker 2: and also Clay. We have every line lit. We will

715
00:36:48,280 --> 00:36:50,200
Speaker 2: get to calls guys, so just be patient with us.

716
00:36:50,200 --> 00:36:51,719
Speaker 2: We will get the calls in the next hour.