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Speaker 1: Al Zone Media.

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Speaker 2: Ah, what's not doing great my democracy? Although better than

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Speaker 2: a couple of months ago. Maybe if we're comparing this

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Speaker 2: debate to the last debate, I think the short answer

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Speaker 2: everyone we'll agree with is better debate.

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Speaker 3: My god.

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Speaker 2: I'm Robert Evans with me tonight for you know. A

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Speaker 2: quick reaction to everything that went on in case you

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Speaker 2: don't want to sit through it yourself is Garrison Davis

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Speaker 2: and Sophie Lickdermann.

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Speaker 3: Yeah, this was like a real debate. We haven't had

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Speaker 3: one of these in a long time.

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Speaker 2: No, no, maybe never. I can't actually think of a

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Speaker 2: time in my life. It's certainly not in my adult

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Speaker 2: life where we have had one. I don't know, you

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Speaker 2: know what. Maybe I'm not remembering the Romney one well enough,

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Speaker 2: but certainly it's been a long time since we've got

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Speaker 2: This was really was about the issues to a significant extent,

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Speaker 2: not all of the issues I would have picked to

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Speaker 2: talk about, but there was a lot of discussion of

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Speaker 2: issues and policy and.

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Speaker 3: Like actual moderating and actual moderating yes, live fact checks,

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Speaker 3: which I've never seen to this extent at any yeah,

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Speaker 3: at any presidential debate. Ever. It was almost shocking to

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Speaker 3: see the moderators actually do their job.

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Speaker 2: That was the highlight of the night for me.

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Speaker 1: Yeah, and if you didn't catch the debate, it was

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Speaker 1: hosted by Disney's ABC and the moderators were Lindsay Davis

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Speaker 1: and David Muir, and yeah, both of them each did

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Speaker 1: a very decent job, I believe, with live fact checking.

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Speaker 1: When Trump said some of yes, very out of pocket,

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Speaker 1: unhinged comments.

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Speaker 2: They deferred to him a couple of times when he

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Speaker 2: would demand to be allowed to speak. That I wasn't

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Speaker 2: thrilled with, but yeah, it was kind of it was

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Speaker 2: made up for you know. One of the things going

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Speaker 2: on on the right wing media the last couple of

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Speaker 2: days has been this claim that Haitian immigrants to the

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Speaker 2: United States are eating people's pets. We'll probably do an

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Speaker 2: episode on this, it's worth covering, like it all it's

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Speaker 2: all lies. It's like evil, racist lies. But brought it

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Speaker 2: up in detail during the debate and got pressed pretty

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Speaker 2: effectively by David who essentially what I'm saying, like, well,

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Speaker 2: that's just not true. Like we've talked to the city manager,

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Speaker 2: there's no reports of anyone's pet speed.

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Speaker 3: Yeah, you've just made this up. And Trump said it

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Speaker 3: was true because he saw it on TV.

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Speaker 1: He said it twice. But like, you know, I just

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Speaker 1: want to like for like a Reuter's fact check, like

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Speaker 1: this started from a Facebook post and then determined that

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Speaker 1: it was There was no evidence to this claim, and

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Speaker 1: that didn't stop the likes of jd Vance and other

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Speaker 1: horrible individuals spreading it on the internet and Donald Trump

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Speaker 1: announcing it to be true multiple times during the biggest

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Speaker 1: presidential debate of our lifetime.

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Speaker 3: As they kept saying, it seems every debate is the

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Speaker 3: most historic debate that's ever happened.

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Speaker 2: Yeah, I'm going to say this one wasn't. Sorry, the

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Speaker 2: last one definitely was because one of the guys who

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Speaker 2: was in it is no longer running for presidents.

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Speaker 3: That's fair. That one was a little historic.

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Speaker 1: Yeah, do we want to get into a little bit

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Speaker 1: of the pre show at all?

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Speaker 3: Or sure? We could talk about the pre show first? Yeah?

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Speaker 2: Why not? Why don't you start there, Sophie.

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Speaker 1: During the pre show, Fox News was talking about how

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Speaker 1: the Trump campaign says that he will only go low

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Speaker 1: on the issues and he did not. They also had

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Speaker 1: a guy who is on TV way too much Byron Donald,

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Speaker 1: where he said that Kamala, we know Biden is not

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Speaker 1: running the country your VP. Now, basically what they kind

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Speaker 1: of just did the same sad talking points, and then

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Speaker 1: CNN did, I mean, this is not that interesting, to

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Speaker 1: be honest, like CNN talked about how important this was,

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Speaker 1: and Chris Wallace specifically said that Trump's biggest strength is

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Speaker 1: he doesn't talk like a politician. I don't think that

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Speaker 1: helped him tonight, to be honest, not tonight.

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Speaker 2: Well, you know, to be honest, here's what I would

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Speaker 2: say that was true of why he won. That played

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Speaker 2: a major role in winning. But he talks like a

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Speaker 2: politician now because politics has reordered itself around trump Ism,

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Speaker 2: particularly on the right. But even Harris and Walls are

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Speaker 2: a little trumpier than certainly any Democratic politician was before

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Speaker 2: the selection.

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Speaker 1: Right, and the most interesting thing that was said in

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Speaker 1: both of these things to be which will bring us

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Speaker 1: to the start of the debate. CNN was heavily focused

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Speaker 1: on the fact that President Trump is almost a foot

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Speaker 1: taller than Vice President Harris and asking if he will

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Speaker 1: take advantage of that. He wouldn't even meet her across

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Speaker 1: the stage to shake her hand. She walked all the

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Speaker 1: way over to him. I genuinely think he did not

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Speaker 1: want to shake her hand.

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Speaker 2: No, he didn't, And I thought that was Again, this

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Speaker 2: all seems like very petty stuff to talk about, but

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Speaker 2: this is the pettiest man alive, and like this stuff

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Speaker 2: actually does matter, And I think it was a pretty

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Speaker 2: intelligent strategic move. I think it started off the night

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Speaker 2: with him off ballance. She immediately put him off balance

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Speaker 2: and pissed him off, and that he didn't really recover.

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Speaker 2: He had some moments. He certainly was not weak everywhere.

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Speaker 2: I think he was lie Like his economy. Everything he

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Speaker 2: says about like tariffs is like it's a nonsense policy

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Speaker 2: that would devastate like large chunks of this country. But

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Speaker 2: I think his messaging was pretty effective there. It probably

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Speaker 2: is going to work for a lot of moderates. I

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Speaker 2: thought his messaging on Afghanistan was really effective. I think

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Speaker 2: he probably won that segment of the debate just in

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Speaker 2: terms of what's going to play better.

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Speaker 3: Those are the two definitely right.

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Speaker 2: But you know, he didn't lose every clash they had.

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Speaker 2: He never got momentum, and he was never able to

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Speaker 2: build momentum. Even when he had a win. He was

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Speaker 2: never able to tie that into a greater pattern like

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Speaker 2: he was with Biden. He was never able to get

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Speaker 2: any kind of weight behind him. He just kind of

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Speaker 2: was wobbling.

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Speaker 1: The whole night, which I think at this scale is

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Speaker 1: the first we've seen from him.

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Speaker 3: It was definitely Kamala going in hard for the handshake

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Speaker 3: at the very very start of the debate was her

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Speaker 3: equivalent of Trump following around Hillary Clinton on that debate stage.

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Speaker 3: It threw him off balance. He wasn't expecting it. It

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Speaker 3: immediately kind of gave her the upper hand literally wow

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Speaker 3: and controlling where the conversation was going to go. Like

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Speaker 3: Trump refused to look at Kamala throw the entire debate.

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Speaker 3: He only looked straight ahead. Kamala was often addressing Trump

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Speaker 3: directly looking at him and then also turning towards the cameras.

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Speaker 3: Trump was just straight faced the entire time. He never

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Speaker 3: he never looked at her or acknowledged her like visually.

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Speaker 3: It was kind of odd to see. And throughout the

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Speaker 3: debate he just kept getting really angry and almost like childish.

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Speaker 3: Harris maintained her ability to present herself as like the

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Speaker 3: more hopeful candidate and by and large like led the debate.

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Speaker 1: Yeah.

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Speaker 3: Yeah, he kept having to like follow her. He just

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Speaker 3: came off as like an angry child. Now she did

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Speaker 3: not answer some of the questions, but like her policy shifts,

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Speaker 3: but she was able to deflect those questions and Trump

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Speaker 3: to go off topic to talking about like crowd sizes

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Speaker 3: and rumors about eating dogs. Trump wasn't able to actually

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Speaker 3: talk about what his plans for the country were. Harris

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Speaker 3: just kept him like complaining about weird nonsense, going off

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Speaker 3: on tagents, and always going back to talking about immigrants.

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Speaker 3: He just couldn't control the conversation at all.

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Speaker 2: No, and the crowd size stuff, like, he was very

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Speaker 2: clearly like on the verge of kind of losing it there,

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Speaker 2: which was interesting to see.

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Speaker 1: CNN claimed during their post show that that moment was

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Speaker 1: when he never recovered after the crowd size stuff.

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Speaker 2: Yeah, I think that's probably accurate.

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Speaker 1: Fair, Yeah, that's a fair analysis from CNN.

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Speaker 2: I would say that he didn't he never recovered from

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Speaker 2: the opening handshake, like, but that's when it was kind

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Speaker 2: of undeniable, the crowd sized thing, like, because he kept

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Speaker 2: trying to get back on the rails and I think

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Speaker 2: he gave up. And the clearest example of that was

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Speaker 2: his closing statements which I know we're kind of jumping

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Speaker 2: around here, but Kamala's closing statements were the kind of

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Speaker 2: closing statements you give if you are trying to become

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Speaker 2: the president, and Trump's you can contrast it to the

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Speaker 2: way he was talking during his big RNC speech, which

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Speaker 2: was certainly much too long but was clearly intentional for

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Speaker 2: the most part, was a better speech. Yeah, it's like

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Speaker 2: there was some ad libbing there. He did some, but

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Speaker 2: this was clearly not written down ahead of time. It

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Speaker 2: did not sound like that.

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Speaker 3: It made no sense.

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Speaker 2: Yeah, it was nonsense.

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Speaker 3: Kamala's ending statement was talking about how this is a

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Speaker 3: fight for two different versions of what this country will

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Speaker 3: look like, you know, a very politiciany speech. Trump didn't

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Speaker 3: talk about himself at all. He just was complaining that

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Speaker 3: if Kamala Harris has so many great ideas for the country,

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Speaker 3: why hasn't she enacted them? And the answer is because

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Speaker 3: she's not the president. Yes, But he did not talk

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Speaker 3: about his own version of the country. He was just

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Speaker 3: complaining about how much he didn't like Kamala Harris and

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Speaker 3: that Kamala Harris is promising to do great things even

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Speaker 3: though that she's not like doing them right now as

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Speaker 3: vice president, And that was his messaging, at.

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Speaker 2: Least in the pre show that I watched, and in

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Speaker 2: a lot of like the punditry I read before this,

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Speaker 2: the thing that kept getting reinforced was that this has

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Speaker 2: to be a debate about the issues. The Americans that

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Speaker 2: are still undecided want to hear what people's plans are

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Speaker 2: for the country. Now. Do I believe that's the case.

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Speaker 2: I'm not necessarily the most optimistic about how seriously Americans

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Speaker 2: take political policy. But if that is the case, Trump

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Speaker 2: blew his chance to talk about what he wants to

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Speaker 2: do as president because he number one, was extremely defensive.

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Speaker 2: He spent more time denying things that he didn't wasn't

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Speaker 2: going to do, like it. She got him very good

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Speaker 2: on twenty twenty five. That has proven to be an

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Speaker 2: extremely effective line of attack, and he was really he

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Speaker 2: had to not just deny that he planned to like

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Speaker 2: in state Project twenty twenty five as president, but like

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Speaker 2: he had to repeatedly claim I've never read it, Like,

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Speaker 2: I don't know what's in it.

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Speaker 3: I don't want to read it.

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Speaker 1: I have nothing to do with Project twenty twenty.

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Speaker 2: Five, in a way that sounded almost panicked. Yeah, right,

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Speaker 2: like where he really I'm kind of surprised they didn't

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Speaker 2: give him a better response on that that they didn't

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Speaker 2: really drill that down, and I wonder if they did.

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Speaker 2: And he just was so flustered and pissed that he

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Speaker 2: didn't do it. But he certainly did not have an

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Speaker 2: effective response to that one. And when he kept repeatedly

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Speaker 2: being asked to give his policy on how he would

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Speaker 2: like fix the Affordable Care Act or replace it, he

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Speaker 2: just punted.

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Speaker 1: He just kept saying, it's terrible.

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Speaker 2: It's like, okay, yeah, it's terrible, but I can't do

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Speaker 2: anything about it, so I'm not going to repeal it,

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Speaker 2: but like, We've got to do better. Was it was

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Speaker 2: a really weak answer.

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Speaker 3: Yeah. One thing I found interesting is that the last

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Speaker 3: debate was full of so many AD breaks and we

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Speaker 3: went full like a one hour, yeah, a full hour

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Speaker 3: before before ads and speaking of ads, oh wow, we

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Speaker 3: have gone a full thirteen minutes, and that means it's

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Speaker 3: time for us to take an AD break. All right,

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Speaker 3: we are back.

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Speaker 2: Yeah. Can I get to one thing first, because I

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Speaker 2: just came across this. It's about the Haitian immigrants. PBS

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Speaker 2: put up a documentary like literally a day or two

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Speaker 2: ago talking, yeah, one day ago talking about this, and

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Speaker 2: they interview a factory owner in Springfield, Ohio about what

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Speaker 2: he thinks of Haitian migration, and he's like, I wish

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Speaker 2: a lot more of them would come. They're the only

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Speaker 2: people in town who don't do drugs and come to

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Speaker 2: work on time. I just thought that was a great,

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Speaker 2: great Springfield, Ohio representation. I hope that guy's happened A

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Speaker 2: good night.

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Speaker 1: Great quote there, Robert, Yeah, Garre, what do you want

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Speaker 1: to talk about next?

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Speaker 3: Now? In this middle section, just kind of want to

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Speaker 3: go over some of what they actually talked about during

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Speaker 3: the debate, a few of kind of the main topics.

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Speaker 3: They started with the economy. Kamala is talking about how

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Speaker 3: there's a shortage of homes. They're the cost of housing

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Speaker 3: is just too high, and she's going to have tax

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Speaker 3: cuts for families and warned about Trump's quote unquote sales

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Speaker 3: tax that would rise costs for households by nearly four

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Speaker 3: thousand dollars a year. Now that this is in reference

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Speaker 3: to Trump's tariffs, which he then talked about next, they

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Speaker 3: know they're not sales tax, they're tariffs and that countries

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Speaker 3: will pay us back for all that we've done in

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Speaker 3: the world. It's insane, which will bainly mean that our

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Speaker 3: economy will do worse and things will be more expensive

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Speaker 3: for us.

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Speaker 1: I thought Kamala was pretty strong during that section in

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Speaker 1: terms of like her response. She directly mentioned Goldman Sachs,

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Speaker 1: which is something that's come out in the last couple

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Speaker 1: days from Reuters. It's that the Goldman Saxy's biggest boost

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Speaker 1: you as economy from a Harris when talking about US

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Speaker 1: economic growth would likely get the biggest boost in the

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Speaker 1: coming two years from Democrats headed by Kamala Harris winning

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Speaker 1: the White House and Congress and November election, And she

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Speaker 1: specifically like called out to that, and her being actually

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Speaker 1: able to call out to something like that in a

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Speaker 1: debate was something we I haven't seen in a while

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Speaker 1: on a debate, And so that was something that I

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Speaker 1: particularly took note of.

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Speaker 3: Yeah, actually slight relevant authorities on issues.

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Speaker 2: Yeah, Yeah, she did a lot of that. She definitely

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Speaker 2: had her moments where she would avoid responses. I noted

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Speaker 2: she consistently refused to answer, are there limitations you think

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Speaker 2: should be in place on when people can get abortions?

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Speaker 3: Right?

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Speaker 2: Yeah, she just kind of did not answer that one. Now,

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Speaker 2: to be frank, I think that's a bullshit question, and

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Speaker 2: I think a redirection was pretty effective. Yeah, but as

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Speaker 2: a general rule, when she answered questions, she cited statistics

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Speaker 2: and like studies and did a pretty a pretty good job.

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Speaker 2: Now again, how well is that kind of matter? We're

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Speaker 2: still very early in the kind of pundit cycle here.

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Speaker 2: It seems pretty clear that most of the mainstream media,

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Speaker 2: including Fox Like agrees Harris won the night. Polymarket predicts

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Speaker 2: a ninety seven percent chance that Harris is judged the

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Speaker 2: winner in the debate snappoles, which I found out from

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Speaker 2: Nate Silver's quick reaction, where he also notes, quote, bitcoin

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Speaker 2: prices are down, which also implies a loss for Trump.

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Speaker 1: That's very funny.

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Speaker 3: I love that Bitcoin's a good political needle to see

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Speaker 3: where the country's going.

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Speaker 2: I'll tell you the happiest assuming that we don't usher

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Speaker 2: in a new fascist or you know, a significantly worse

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Speaker 2: state in November. The best thing about it is going

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Speaker 2: to be not needing to pay attention to Nate Silver

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Speaker 2: for another four years.

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Speaker 3: Yeah.

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Speaker 2: But yeah, you know, he did make one other point

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Speaker 2: that I found kind of funny. Which was his argument that,

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Speaker 2: like well, Trump is a lot taller. The stature gap

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Speaker 2: in terms of physical size was also notable, especially with

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Speaker 2: Harris having a shorter podiumtimes you'll hear people say that

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Speaker 2: you should watch the debate with the sound off, and

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Speaker 2: by that measure it was much closer than with the

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Speaker 2: sound on.

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Speaker 3: Who says that name?

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Speaker 2: Has ever said that?

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Speaker 3: Who's gonna watch the debate with the sound off?

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Speaker 2: Stick to Poles man, what the fuck is wrong with you?

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Speaker 3: These debates used to be audio only. They were a

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Speaker 3: radio broadcasts. That is that's how the tradition started.

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Speaker 1: That is so unwell of him to say what are you?

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Speaker 1: What are you doing? Why think that over head? And

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Speaker 1: don't put that on the internet.

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Speaker 2: He is a good yes every second mate, Silver isn't

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Speaker 2: writing a blog post or looking at Poles he is

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Speaker 2: He is sitting in a shitty bar in like Fremont Street, Vegas,

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Speaker 2: playing like mid Steaks poker. So he probably does consume

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Speaker 2: a lot of television with the sound off.

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Speaker 3: But to go back to the economy, so as Kamla

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Speaker 3: was talking about her plans for like tax credits and

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Speaker 3: tax cuts helping people buy homes, Trump was just talking

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Speaker 3: about tariffs and immediately brought up that one of the

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Speaker 3: things that's affecting the economy is that there is there's

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Speaker 3: millions of people pouring in from prisons and a sane

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Speaker 3: asylums taking jobs from black and Hispanic and union workers.

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Speaker 3: That these immigrants are taking over towns and buildings violently.

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Speaker 3: And it's just immediately that that's what that's what he

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Speaker 3: goes to because he has really just nothing else.

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Speaker 1: He also said people can't buy bacon, cereal and eggs

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Speaker 1: cereal cereal. Of all the foods to choose cereal.

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Speaker 3: So yeah, tried to talk about like inflation and stuff.

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Speaker 3: It just it just didn't go very well, especially because

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Speaker 3: inflations rose so much during the pandemic when he was president.

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Speaker 3: It just didn't play very well at all. Immediately it

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Speaker 3: was clear that Kamala was kind of the front runner.

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Speaker 3: The next topic was abortion, which Kamala also did very well,

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Speaker 3: and Trump just really lost it because he couldn't stop

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Speaker 3: talking about how Tim Walls wants to execute babies after birth,

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Speaker 3: and this just this was the main thing he talked about.

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Speaker 3: He was very defensive about his stance on a national

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Speaker 3: abortion ban. Moderators asked him about his contra victory abortion

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Speaker 3: statements about how he's voting for an abortion ban in

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Speaker 3: Florida but is claiming to not want one nationally, and

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Speaker 3: Trump just didn't know how to talk about this topic

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Speaker 3: very well and just kept saying that Democrats are evil

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Speaker 3: because they want to do nine month abortions, seven month,

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Speaker 3: eight month abortions, post birth executions, they will execute the baby,

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Speaker 3: which was I believe this was like the first fact

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Speaker 3: check for the night. And this is what kind of

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Speaker 3: really scared Trump is. He was like, Oh, they're actually

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Speaker 3: gonna call me on this stuff. Mariator said that there's

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Speaker 3: no states where you can kill babies after birth, and

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Speaker 3: Trump just didn't know what to do. Kamala brought up

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Speaker 3: Project to twenty twenty five and their plans for a

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Speaker 3: national abortion ban. Trump made a little funny comment, kind

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Speaker 3: of throwing JD. Vance under the bushments about Trump vetoing

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Speaker 3: a national abortion ban if it was passed by Congress.

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Speaker 3: Trump said that he actually hadn't talked to Vance about that.

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Speaker 1: I didn't discuss it with jam By the.

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Speaker 2: Way, I've been taking a break from Twitter, but I

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Speaker 2: did catch a good post recently JD. Vance Before the debate,

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Speaker 2: made a claim that a bunch of people from Springfield

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Speaker 2: who he won't name, have reached out to him talking

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Speaker 2: about Haitians eating their pets, and then ended it by

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Speaker 2: saying like it's possible this will prove to be untrue.

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Speaker 2: And someone just quote tweeted that and said, every day

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Speaker 2: I see something that makes me understand why Vance's mom

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Speaker 2: traded him for a couple of perk thirties.

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Speaker 3: Incredible, But Kamala basically said most of her regular talking

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Speaker 3: points and abortion. She would like for the House in

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Speaker 3: the Senate to put abortion protections into law and she

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Speaker 3: would sign that bill and wants to restore the protections

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Speaker 3: of Roe v. Wade, and also talked about how it's

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Speaker 3: absurd to be talking about post birth executions and how

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Speaker 3: this is like consulting.

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Speaker 1: Yep, she's correct, Thank you so much.

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Speaker 3: Yeah. Next thing was the border, very similar to both

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Speaker 3: their RNC and their DNC speeches. Kamala talking about this

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Speaker 3: kind of very conservative border bill that Trump shot down

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Speaker 3: for political game, and then invited us to attend a

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Speaker 3: Trump rally where he talks about fictional characters like Hannibal

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Speaker 3: Lecter and how windmills caused cancer and that people leave early,

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Speaker 3: and he never talks about you, the American people. So

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Speaker 3: this was obviously giant bait for Trump, which he he

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Speaker 3: took immediately. He just couldn't stop talking about people actually

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Speaker 3: come to my rallies way more than they go to

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Speaker 3: your rallies. They don't leave early. You have to bust

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Speaker 3: in people to your rallies.

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Speaker 1: And he claims she pays people to attend her rallies

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Speaker 1: as well.

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Speaker 3: He got so flustered. Is that this is what he

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Speaker 3: started talking about the eating dogs thing. It's because he

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Speaker 3: got so flustered on this line of argument about his

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Speaker 3: crowd size that he just he just had to immediately

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Speaker 3: talk about how there's immigrants eating dogs. Yeah, because he

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Speaker 3: just didn't know what to do.

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Speaker 2: I mean, it's actually kind of just a very like

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Speaker 2: on the nose but perfect representation of how racism works

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Speaker 2: culturally a lot of the time, which is like white

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Speaker 2: man feels aggrieved and threatened and immediately turns to attacking

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Speaker 2: an entire group of people based on their race, like like,

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Speaker 2: it really was the most direct example of that that

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Speaker 2: you could possibly get, Like, he felt vulnerable and so

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Speaker 2: he attacked a group of people for eating cats. He

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Speaker 2: did a blood libel.

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Speaker 3: I think a big part of Kamalist strategy here was

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Speaker 3: to paint Trump as like an illegitimate figure in politics,

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Speaker 3: like someone who's not like responsible to like lead the military.

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Speaker 2: And it's dangerous. Yeah, she bragged.

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Speaker 3: About the endorsement of two hundred Republicans, including Dick.

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Speaker 2: Cheney hated that moment, like, no, but you know, is

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Speaker 2: not great.

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Speaker 3: But we'll see if it plays politically well.

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Speaker 2: It might work.

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Speaker 1: Yeah, it doesn't play well for us, but yes, doesn't

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Speaker 1: mean it doesn't overall play well. Unfortunately, a lot.

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Speaker 3: Of her statements seemed like she was trying to court

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Speaker 3: both the NATSEC people and the courts if there's ever

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Speaker 3: like a contested election, Like she wants those people to

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Speaker 3: be on her side, and there's a lot of common

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Speaker 3: throughout the debate that was kind of point to that

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Speaker 3: and like showing how Trump's just like an unreliable and

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Speaker 3: like dangerous figure to be in control of national security.

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Speaker 3: Trump went on this interesting tangent about how he was

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Speaker 3: actually good because he fired a whole bunch of those

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Speaker 3: Republicans because they were because they were bad at their jobs.

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Speaker 2: I thought it was one of his more effective moments.

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Speaker 3: That was something we've never really seen done before, openly

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Speaker 3: attacking military leaders in that fashion.

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Speaker 1: Yeah.

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Speaker 2: I didn't read it as attacking military leaders. I read

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Speaker 2: it as him specifically stating because she was Harris had

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Speaker 2: been talking about the Republicans from the Bush White House

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Speaker 2: who had endorsed her, and I read it as Trump

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Speaker 2: saying I brought in a lot of like rhinos, what

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Speaker 2: he would call rhinos, but I brought in a lot

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Speaker 2: of like old Republican veterans and fired them because they

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Speaker 2: were bad at their job. And I thought that was

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Speaker 2: one where I was like, well, yeah, they were, you know, like,

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Speaker 2: you're not wrong. You didn't replace them with anyone better,

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Speaker 2: but like they were. In fact, you did hire a

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Speaker 2: bunch of Republican officials who had a long history working

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Speaker 2: in other administrations who sucked at what they did, you know, like,

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Speaker 2: not wrong. Now, it's interesting to have him say I

441
00:22:06,119 --> 00:22:07,840
Speaker 2: brought in a lot of people. Some of them were

442
00:22:07,840 --> 00:22:10,000
Speaker 2: good and some of them were bad. Yes, Yeah, I

443
00:22:10,000 --> 00:22:12,639
Speaker 2: don't think I've ever heard a former president admit that.

444
00:22:12,720 --> 00:22:15,480
Speaker 1: During a debate, he was like, we don't talk about

445
00:22:15,480 --> 00:22:16,880
Speaker 1: the good people, And it's like.

446
00:22:17,560 --> 00:22:19,719
Speaker 2: Well, why why don't you do that? Now? During your debate.

447
00:22:20,000 --> 00:22:21,439
Speaker 1: Yeah, here's your chance.

448
00:22:22,400 --> 00:22:25,520
Speaker 3: JD. Vance great guy, great guy, great, great guy.

449
00:22:25,600 --> 00:22:27,639
Speaker 1: Trump, So Jdvan's great guy. Never met him, don't know

450
00:22:27,640 --> 00:22:29,640
Speaker 1: who he is. Who are you talking about? Never talked

451
00:22:29,680 --> 00:22:30,000
Speaker 1: to him.

452
00:22:30,720 --> 00:22:33,639
Speaker 3: One of the more interesting questions the moderator asked was

453
00:22:33,880 --> 00:22:37,440
Speaker 3: just directly asking Trump, how would you go about your

454
00:22:37,600 --> 00:22:40,680
Speaker 3: massive deportation program? How would you actually go about deporting

455
00:22:41,040 --> 00:22:45,840
Speaker 3: eleven million or more undocumented immigrants? And Trump did not

456
00:22:46,000 --> 00:22:48,879
Speaker 3: have a real answer to this question. Trump said that,

457
00:22:48,920 --> 00:22:50,960
Speaker 3: you know, there's actually way more of them here than

458
00:22:51,040 --> 00:22:53,560
Speaker 3: what you would think South America is sending all their

459
00:22:53,600 --> 00:22:54,280
Speaker 3: criminals here.

460
00:22:54,440 --> 00:22:57,320
Speaker 2: It was really interesting because he said, they say fifteen million,

461
00:22:57,400 --> 00:22:59,479
Speaker 2: it's really twenty one million. And then he said, and

462
00:22:59,520 --> 00:23:01,240
Speaker 2: it's a lot more than twenty one million.

463
00:23:02,160 --> 00:23:03,240
Speaker 3: Okay, how many is it?

464
00:23:03,359 --> 00:23:03,719
Speaker 1: Donald?

465
00:23:05,640 --> 00:23:09,400
Speaker 3: The moderators challenged him on like rising crime rates, saying

466
00:23:09,480 --> 00:23:12,440
Speaker 3: that the FBI is actually, you know, showing that crime

467
00:23:12,520 --> 00:23:15,640
Speaker 3: is going down, and Trump then claimed that the FBI

468
00:23:15,880 --> 00:23:19,720
Speaker 3: crime rates are fraudular, are fraudulent, which is the first

469
00:23:19,720 --> 00:23:21,760
Speaker 3: time that you've seen, at least that I've seen him

470
00:23:21,760 --> 00:23:24,440
Speaker 3: talk about it that way. Like usually on Fox News

471
00:23:24,760 --> 00:23:27,240
Speaker 3: they will like mention that, but they'll be like, but

472
00:23:27,640 --> 00:23:30,679
Speaker 3: people feel crime is going up, So that's what really matters.

473
00:23:30,760 --> 00:23:33,080
Speaker 3: Even if even if the FBI claims it's going down,

474
00:23:33,160 --> 00:23:36,720
Speaker 3: people still feel less safe. But he just openly said

475
00:23:36,760 --> 00:23:39,080
Speaker 3: that those numbers are just like fake, like the FBI

476
00:23:39,160 --> 00:23:41,960
Speaker 3: is just like lying saying that they aren't counting crimes

477
00:23:41,960 --> 00:23:45,080
Speaker 3: in like the biggest major cities. Kama's response to this

478
00:23:45,400 --> 00:23:48,320
Speaker 3: was saying that that's rich coming from a convicted criminal.

479
00:23:48,359 --> 00:23:51,639
Speaker 3: So we got that first, like prosecutor girl boss moment.

480
00:23:51,920 --> 00:23:53,240
Speaker 1: Okay, hi've rise up.

481
00:23:53,800 --> 00:23:56,119
Speaker 3: Trump complained about all of like the legal witch hunts

482
00:23:56,119 --> 00:23:59,360
Speaker 3: he's been facing and said that, quote, I probably took

483
00:23:59,400 --> 00:24:01,520
Speaker 3: a bullet to the head because of the things they

484
00:24:01,600 --> 00:24:04,560
Speaker 3: say about me, unquote, which is just a fascinating way

485
00:24:04,560 --> 00:24:05,120
Speaker 3: to frame.

486
00:24:04,920 --> 00:24:07,240
Speaker 1: That unhinged thing to say.

487
00:24:07,200 --> 00:24:10,480
Speaker 2: It is, especially given how many Americans don't think he

488
00:24:10,640 --> 00:24:11,760
Speaker 2: was shot in the head.

489
00:24:15,680 --> 00:24:16,480
Speaker 3: You just know.

490
00:24:16,640 --> 00:24:21,920
Speaker 1: His advisors were like, what the fuck, Like, what are

491
00:24:21,960 --> 00:24:23,640
Speaker 1: you saying right now?

492
00:24:23,800 --> 00:24:23,960
Speaker 3: Ah?

493
00:24:24,200 --> 00:24:26,360
Speaker 2: Fuck? Oh they are drinking tonight.

494
00:24:27,080 --> 00:24:32,600
Speaker 1: Oh they are drinking tonight. Yeah yeah, And that's not

495
00:24:32,680 --> 00:24:35,280
Speaker 1: even like the most unhinged thing he said, because the

496
00:24:35,280 --> 00:24:38,000
Speaker 1: most unhinged thing he said the entire night came shortly

497
00:24:38,040 --> 00:24:44,439
Speaker 1: after that, which was, she wants to do transgender operations

498
00:24:44,960 --> 00:24:49,960
Speaker 1: on illegal aliens in prison. Based she wants to do

499
00:24:50,119 --> 00:24:55,960
Speaker 1: transgender operations on illegal aliens in prison. She wants to

500
00:24:56,040 --> 00:25:02,880
Speaker 1: do transgender operations illegal aliens in prison, and the leader

501
00:25:02,960 --> 00:25:04,360
Speaker 1: says she's a radical liberal.

502
00:25:04,600 --> 00:25:07,639
Speaker 2: I believe that a president can perform surgery if that

503
00:25:07,760 --> 00:25:12,320
Speaker 2: president wants to. Sophie and I support Kamala Harris's policy.

504
00:25:12,400 --> 00:25:14,200
Speaker 1: You should have voted for Ben Carson then.

505
00:25:14,520 --> 00:25:17,320
Speaker 2: I did I write him in every year?

506
00:25:17,760 --> 00:25:22,760
Speaker 3: Okay, Jesus Christ, No you don't. There was a good

507
00:25:23,200 --> 00:25:26,160
Speaker 3: tweet that remark that it just sounds like he's talking

508
00:25:26,200 --> 00:25:29,200
Speaker 3: like he's playing cards against humanity. He's just like change,

509
00:25:29,440 --> 00:25:33,359
Speaker 3: He's just like changing out different words like transgender aliens,

510
00:25:33,480 --> 00:25:37,200
Speaker 3: prison surgery. I believe what he's referencing here is that

511
00:25:37,240 --> 00:25:39,680
Speaker 3: both Fox News and Trump's campaign team the past few

512
00:25:39,720 --> 00:25:42,680
Speaker 3: days have been talking about how in twenty twenty, Kamala

513
00:25:42,720 --> 00:25:45,399
Speaker 3: made a statement basically saying that, yeah, we should like

514
00:25:45,440 --> 00:25:48,000
Speaker 3: offer gender affirming health care to people in prison, Like,

515
00:25:48,000 --> 00:25:51,320
Speaker 3: if you're in prison, we should not like deny health

516
00:25:51,320 --> 00:25:53,679
Speaker 3: care to you just because you're locked up. That's like

517
00:25:53,680 --> 00:25:57,359
Speaker 3: what he's talking about that is specifically what he's referring to,

518
00:25:57,920 --> 00:26:00,600
Speaker 3: but it just it sounds just absolutely leave that shit.

519
00:26:01,200 --> 00:26:03,680
Speaker 3: Let's have another quick ad break. We will come back.

520
00:26:03,680 --> 00:26:05,679
Speaker 3: I want to talk a little bit about January sixth,

521
00:26:06,040 --> 00:26:09,560
Speaker 3: foreign policy, Israel, Palestine, and then some of Trump's and

522
00:26:09,640 --> 00:26:24,280
Speaker 3: Kamala's post debate statements made to the press. All Right,

523
00:26:24,600 --> 00:26:26,880
Speaker 3: we are so bad, so bad.

524
00:26:26,960 --> 00:26:32,040
Speaker 2: It's so bad, like the Harris campaign kind of kind

525
00:26:32,040 --> 00:26:35,240
Speaker 2: of She's been slowly kind of like flatlining in some

526
00:26:35,280 --> 00:26:37,080
Speaker 2: of these polls. I do want to talk about that

527
00:26:37,080 --> 00:26:39,440
Speaker 2: a little before we get into this, because it has

528
00:26:39,480 --> 00:26:46,040
Speaker 2: been interesting. She's been losing kind of national popular vote momentum,

529
00:26:46,160 --> 00:26:49,320
Speaker 2: and that has been narrowing. The swing states have not

530
00:26:49,600 --> 00:26:52,159
Speaker 2: really narrowed in the same way, which is not to

531
00:26:52,160 --> 00:26:55,119
Speaker 2: say that she is a clear favorite. Everything basically is

532
00:26:55,160 --> 00:26:56,240
Speaker 2: within the margin of error.

533
00:26:56,320 --> 00:26:58,280
Speaker 3: She's barely ahead, but she's still ahead.

534
00:26:58,560 --> 00:27:01,879
Speaker 2: It has been a really interesting change. It has not

535
00:27:02,000 --> 00:27:05,480
Speaker 2: been the same. There's a newsletter I check on occasionally

536
00:27:05,520 --> 00:27:08,680
Speaker 2: for stuff like this at germntum that made what I

537
00:27:08,720 --> 00:27:11,280
Speaker 2: thought was an interesting point, which was that it's possible

538
00:27:11,280 --> 00:27:12,960
Speaker 2: that a lot of that has to do with the

539
00:27:13,000 --> 00:27:16,399
Speaker 2: fact that the national popular vote has been narrowing as

540
00:27:16,400 --> 00:27:18,720
Speaker 2: a result of the ads the Republicans have been pumping

541
00:27:18,720 --> 00:27:21,439
Speaker 2: out because there wasn't a real strong consensus about who

542
00:27:21,520 --> 00:27:25,000
Speaker 2: Harris was, and now that's growing. But in a lot

543
00:27:25,040 --> 00:27:27,560
Speaker 2: of these swing states, which are red states, people have

544
00:27:27,600 --> 00:27:29,960
Speaker 2: been living under Republicans and are just a lot less

545
00:27:30,040 --> 00:27:33,920
Speaker 2: kind of vulnerable to being drawn away by that kind

546
00:27:33,960 --> 00:27:36,480
Speaker 2: of propaganda because they know what it's like.

547
00:27:37,160 --> 00:27:39,800
Speaker 3: No, I mean, especially if you're looking at North Carolina,

548
00:27:39,880 --> 00:27:43,080
Speaker 3: You're looking at Georgia. Those are two battlegrounds that the

549
00:27:43,119 --> 00:27:45,800
Speaker 3: Harris campaign is targeting. I can definitely see that being

550
00:27:46,080 --> 00:27:50,720
Speaker 3: being an aspect. So the mods turned the questions towards

551
00:27:50,800 --> 00:27:55,000
Speaker 3: January sixth. Trump immediately claimed that nobody on the other

552
00:27:55,080 --> 00:27:57,600
Speaker 3: side was killed, only Ash the bad that was killed

553
00:27:57,640 --> 00:27:59,480
Speaker 3: by a bad police officer.

554
00:28:00,640 --> 00:28:04,920
Speaker 2: Very ironic, but easily the only Coppall go to bat

555
00:28:04,920 --> 00:28:08,760
Speaker 2: for the best shoot in twenty twenty one by a mile.

556
00:28:09,840 --> 00:28:13,399
Speaker 3: And he then complained that why haven't BLM rioters been

557
00:28:13,480 --> 00:28:16,959
Speaker 3: prosecuted in Seattle and Minneapolis, which of course they have.

558
00:28:17,280 --> 00:28:19,439
Speaker 3: They are still They're still arresting people.

559
00:28:19,840 --> 00:28:23,640
Speaker 2: Man, I've spent time in courtrooms with people like yes.

560
00:28:23,680 --> 00:28:25,840
Speaker 1: I was shocked he did not call out Portland.

561
00:28:26,040 --> 00:28:28,720
Speaker 2: It is interesting that he went for Seattle and not Portland.

562
00:28:28,800 --> 00:28:31,119
Speaker 2: I guess maybe just says a lot about his media

563
00:28:31,200 --> 00:28:35,280
Speaker 2: diet that he just maybe got a lot more Chazz

564
00:28:35,480 --> 00:28:37,000
Speaker 2: stuff than he did Portland stuff.

565
00:28:37,040 --> 00:28:39,080
Speaker 3: I don't know. He certainly did go after a commal

566
00:28:39,080 --> 00:28:41,960
Speaker 3: a few times for being pro defund the police back

567
00:28:41,960 --> 00:28:42,840
Speaker 3: in twenty twenty.

568
00:28:42,960 --> 00:28:46,360
Speaker 2: He really, he tried several times. He clearly she never

569
00:28:46,360 --> 00:28:48,720
Speaker 2: took the bait. Yeah, she never took the bait. And

570
00:28:48,760 --> 00:28:52,440
Speaker 2: that must have been one that his advisors really pushed

571
00:28:52,520 --> 00:28:54,320
Speaker 2: him on. Yeah, like they must have said, you'll get

572
00:28:54,360 --> 00:28:54,880
Speaker 2: her on this.

573
00:28:55,600 --> 00:28:59,040
Speaker 3: It was both that and her previous like fracking policies,

574
00:29:00,400 --> 00:29:03,560
Speaker 3: which she has like backtracked on, And you have to

575
00:29:03,600 --> 00:29:05,960
Speaker 3: if you want to win Pennsylvania. So like, I understand

576
00:29:06,000 --> 00:29:08,880
Speaker 3: why they're doing it. It sucks because the planet's burning,

577
00:29:09,200 --> 00:29:12,240
Speaker 3: but right now they're trying to win Pennsylvania. The debate

578
00:29:12,280 --> 00:29:14,600
Speaker 3: was in Pennsylvania. Like, that's why she has backtracked on

579
00:29:14,640 --> 00:29:17,200
Speaker 3: those policies. I think it's smart to deflect from that

580
00:29:17,560 --> 00:29:20,280
Speaker 3: at least right now. But yeah, I mean that's that's

581
00:29:20,320 --> 00:29:23,040
Speaker 3: not surprising to me. Now. I think Kamala did a

582
00:29:23,080 --> 00:29:26,440
Speaker 3: pretty good statement about January sixth. She said, I was

583
00:29:26,480 --> 00:29:29,320
Speaker 3: at the Capitol on j six He incited a violent mob.

584
00:29:29,360 --> 00:29:31,920
Speaker 3: And now she got kind of emotional. She said one

585
00:29:32,000 --> 00:29:34,880
Speaker 3: hundred and forty officers were injured and some died. Trump

586
00:29:35,040 --> 00:29:37,240
Speaker 3: was impeached, which is something that just hasn't been talked

587
00:29:37,240 --> 00:29:39,560
Speaker 3: about very much. Is like, yeah, Trump has been impeached.

588
00:29:39,560 --> 00:29:40,920
Speaker 3: Why isn't that talked about very much?

589
00:29:40,920 --> 00:29:44,680
Speaker 1: Because so many other things have happened, then everyone has forgotten, Yeah,

590
00:29:44,680 --> 00:29:47,760
Speaker 1: that he was liter really impeach.

591
00:29:47,360 --> 00:29:50,160
Speaker 3: Yeah, multiple times. And then she pointed to January sixth

592
00:29:50,240 --> 00:29:52,479
Speaker 3: as like not the only incident. No, she pointed back

593
00:29:52,480 --> 00:29:56,200
Speaker 3: to Charlottesville, talked about Trump's statements about Proud Boys and

594
00:29:56,280 --> 00:29:58,520
Speaker 3: how the Proud Boy militia was told to stand back

595
00:29:58,560 --> 00:30:01,440
Speaker 3: and stand by, and she kind of closed this little

596
00:30:01,480 --> 00:30:04,680
Speaker 3: January sixth monologue by saying, like, we don't have to

597
00:30:04,720 --> 00:30:07,360
Speaker 3: go back to this. He says that if the election

598
00:30:07,400 --> 00:30:09,400
Speaker 3: doesn't go to his liking, there will be a blood bath.

599
00:30:09,600 --> 00:30:12,640
Speaker 3: We don't have to go back, And she's positioning herself

600
00:30:12,640 --> 00:30:16,000
Speaker 3: as like as an alternative towards like that type of chaos.

601
00:30:16,320 --> 00:30:19,600
Speaker 3: Trump got very mad at this very mad Trump talking

602
00:30:19,600 --> 00:30:23,840
Speaker 3: about how Fox News debugged the Charlottesville quote. Yeah, I'm sure,

603
00:30:23,960 --> 00:30:27,640
Speaker 3: I'm sure, Yeah, I'm sure. I know one other like

604
00:30:27,680 --> 00:30:30,520
Speaker 3: fact checker I think with Snopes is like, actually, the

605
00:30:30,600 --> 00:30:33,440
Speaker 3: Charlottesville quote is different in context, and at least a

606
00:30:33,480 --> 00:30:35,000
Speaker 3: whole bunch of fact checkers that, like I know and

607
00:30:35,040 --> 00:30:38,120
Speaker 3: extremism reporters have kind of gotten on snopesas for this,

608
00:30:38,280 --> 00:30:41,400
Speaker 3: because it's very clear, it's a very disingenuous way of

609
00:30:41,400 --> 00:30:44,320
Speaker 3: framing what he was trying to say. Yeah, we all

610
00:30:44,360 --> 00:30:46,080
Speaker 3: know what happened on Charlottesville. We all know what he

611
00:30:46,120 --> 00:30:46,800
Speaker 3: was talking about.

612
00:30:47,040 --> 00:30:49,200
Speaker 1: Yeah, Cataboo is a really good video on it if

613
00:30:49,240 --> 00:30:49,960
Speaker 1: you want to watch more.

614
00:30:50,040 --> 00:30:51,000
Speaker 2: Yeah, yes she does.

615
00:30:51,360 --> 00:30:53,760
Speaker 3: And then the moderators talked about how Trump has been

616
00:30:53,800 --> 00:30:56,440
Speaker 3: falsely claiming for for three and a half years that

617
00:30:56,480 --> 00:30:59,280
Speaker 3: he won the twenty twenty election, but now says that

618
00:30:59,360 --> 00:31:02,400
Speaker 3: he lost by a whisker, and Trump was startled by this.

619
00:31:02,520 --> 00:31:04,280
Speaker 3: He's like, did I actually say that?

620
00:31:04,720 --> 00:31:05,440
Speaker 1: I said that?

621
00:31:05,560 --> 00:31:08,280
Speaker 3: I said that. No, no, no, no, no. That was sarcastic,

622
00:31:08,560 --> 00:31:08,800
Speaker 3: and it.

623
00:31:09,200 --> 00:31:11,400
Speaker 2: Was like the only time I've ever heard him he

624
00:31:11,480 --> 00:31:15,640
Speaker 2: sounded genuinely like confused, like maybe there was a little

625
00:31:15,680 --> 00:31:17,400
Speaker 2: old man. But we're like, oh shit, what have I

626
00:31:17,520 --> 00:31:18,000
Speaker 2: been saying.

627
00:31:18,120 --> 00:31:20,480
Speaker 3: He's like, no, no, no, that was a sarcastic statement.

628
00:31:20,720 --> 00:31:23,400
Speaker 3: I still think I won the twenty twenty election.

629
00:31:24,800 --> 00:31:27,200
Speaker 2: Yeah, and he really And that was one of the

630
00:31:27,200 --> 00:31:29,800
Speaker 2: more effective moderator moments because you could see the moderator

631
00:31:29,880 --> 00:31:31,640
Speaker 2: was like, oh, what a gift I've been given. I

632
00:31:31,720 --> 00:31:34,600
Speaker 2: just want to make very clear. Let's have him say,

633
00:31:34,640 --> 00:31:37,720
Speaker 2: Let's have him confirm what he means, like three times

634
00:31:37,800 --> 00:31:38,800
Speaker 2: and then we could move on.

635
00:31:39,360 --> 00:31:42,160
Speaker 3: Kabla had a good reply talking about how like we

636
00:31:42,240 --> 00:31:45,160
Speaker 3: can't have a candidate who's confused about how the elections

637
00:31:45,200 --> 00:31:48,720
Speaker 3: work and being like like she is correct, Yeah, come on,

638
00:31:48,840 --> 00:31:52,680
Speaker 3: great respond and then Trump immediately went on to defend

639
00:31:53,000 --> 00:31:56,880
Speaker 3: Victor Horbon, Yes, the president of Hungary sage. Some people

640
00:31:56,960 --> 00:31:59,440
Speaker 3: call him a strong man because he's a really tough guy.

641
00:32:00,240 --> 00:32:01,520
Speaker 1: Was the strong man thing.

642
00:32:01,800 --> 00:32:04,760
Speaker 2: That was my favorite part because he clearly misunderstood, no,

643
00:32:04,840 --> 00:32:06,640
Speaker 2: strong man is a term for dictation.

644
00:32:07,080 --> 00:32:11,000
Speaker 1: Yes, yeah, he just.

645
00:32:12,240 --> 00:32:14,240
Speaker 2: That was quite a moment for this country.

646
00:32:14,360 --> 00:32:17,120
Speaker 1: It was just the fumbling and bumbling.

647
00:32:17,440 --> 00:32:21,240
Speaker 2: I love it, you know what. Overall, good time, except

648
00:32:21,240 --> 00:32:24,560
Speaker 2: for one thing that really sucked, which is several things

649
00:32:24,560 --> 00:32:27,080
Speaker 2: that really sucked, which is whenever it came to something

650
00:32:27,280 --> 00:32:30,800
Speaker 2: where a huge number of human lives were involved, Yeah,

651
00:32:30,840 --> 00:32:34,200
Speaker 2: almost always, it got kind of brushed over Ukraine. I

652
00:32:34,240 --> 00:32:37,360
Speaker 2: will say, I don't think it got a very good

653
00:32:37,400 --> 00:32:41,600
Speaker 2: set of questions. It was the same shit that they've

654
00:32:41,640 --> 00:32:45,200
Speaker 2: been asking both sides. Right, The Dims get asked, how

655
00:32:45,200 --> 00:32:48,080
Speaker 2: are you going to actually conclude this conflict in a

656
00:32:48,120 --> 00:32:51,800
Speaker 2: favorable way? And the Republicans get asked, are you just

657
00:32:51,840 --> 00:32:54,479
Speaker 2: going to abandon Ukraine? Right? Like, that's the gist of

658
00:32:54,520 --> 00:32:58,480
Speaker 2: what both candidates are are being pushed on, and the

659
00:32:58,560 --> 00:33:01,640
Speaker 2: gist of their responses is unchanged from everything we've heard

660
00:33:01,640 --> 00:33:02,360
Speaker 2: earlier this year.

661
00:33:02,440 --> 00:33:06,080
Speaker 1: Right, And despite being asked multiple times, Trump refused to

662
00:33:06,120 --> 00:33:08,000
Speaker 1: answer if it was in the world's best interest of

663
00:33:08,160 --> 00:33:10,680
Speaker 1: Ukraine wins the war. He was asked that several times,

664
00:33:10,680 --> 00:33:12,720
Speaker 1: and he just he just said, I want the war

665
00:33:12,760 --> 00:33:13,920
Speaker 1: to end. Not an answer.

666
00:33:13,960 --> 00:33:16,200
Speaker 2: And there wouldn't have been a war if I'd been president.

667
00:33:16,960 --> 00:33:19,720
Speaker 1: This wouldn't have happened. Yeah, this wouldn't have happened. That's

668
00:33:19,720 --> 00:33:20,160
Speaker 1: his claim.

669
00:33:20,240 --> 00:33:23,120
Speaker 2: But you know, Harris did not have an answer, because

670
00:33:23,160 --> 00:33:26,360
Speaker 2: there isn't one. No, no, This is an incredibly difficult

671
00:33:26,400 --> 00:33:28,880
Speaker 2: war right now, I will say, I think like the

672
00:33:29,000 --> 00:33:31,640
Speaker 2: actual things she should have done, and the thing that

673
00:33:31,720 --> 00:33:34,760
Speaker 2: Biden should have done is say, like, we are removing

674
00:33:35,040 --> 00:33:38,479
Speaker 2: all extant limitations on the weapons that we ship Ukraine

675
00:33:38,480 --> 00:33:39,840
Speaker 2: and how they can use them. You know, at this

676
00:33:39,920 --> 00:33:43,360
Speaker 2: point they have now invaded Russian territory and occupied hundreds

677
00:33:43,400 --> 00:33:45,640
Speaker 2: of miles of it. Like, you know, that was something

678
00:33:45,680 --> 00:33:47,760
Speaker 2: I was interested in that she should have hit on

679
00:33:47,920 --> 00:33:49,960
Speaker 2: and did not, which Trump brought up the fact that

680
00:33:50,000 --> 00:33:52,520
Speaker 2: Russia has nuclear weapons in a matter of like, we

681
00:33:52,600 --> 00:33:54,880
Speaker 2: can't push him too much. Who knows what they'll do, right,

682
00:33:54,920 --> 00:33:57,280
Speaker 2: That was clearly what he wanted people to take from

683
00:33:57,360 --> 00:33:59,760
Speaker 2: him bringing up the fact that Russia has a nuclear arsenal,

684
00:34:00,200 --> 00:34:02,520
Speaker 2: and Harris didn't bring up like, yeah, you know, they

685
00:34:02,560 --> 00:34:06,960
Speaker 2: invaded Russia a couple of weeks back, no nukes, Like

686
00:34:07,480 --> 00:34:11,160
Speaker 2: this kind of threat is clearly something that the Putin

687
00:34:11,200 --> 00:34:14,479
Speaker 2: regime wants the international community to have. But when push

688
00:34:14,520 --> 00:34:17,920
Speaker 2: comes to shove, he's not suicidal. And the idea that

689
00:34:18,080 --> 00:34:22,000
Speaker 2: like Putin is going to start nuking people if Ukraine

690
00:34:22,120 --> 00:34:26,360
Speaker 2: is able to fire missiles at Russian fuel depots or whatever,

691
00:34:26,960 --> 00:34:29,520
Speaker 2: I just don't think is supported by how he's actually

692
00:34:29,600 --> 00:34:32,680
Speaker 2: performed so far, but at any rate, at least Ukraine

693
00:34:32,800 --> 00:34:35,680
Speaker 2: got a decent amount of time. It was one of

694
00:34:35,719 --> 00:34:38,280
Speaker 2: the things that they talked about more in this debate.

695
00:34:38,719 --> 00:34:41,440
Speaker 2: Gaza got one very quick question. You could tell the

696
00:34:41,520 --> 00:34:44,760
Speaker 2: moderators wanted to move the fuck past it as fast

697
00:34:44,840 --> 00:34:48,239
Speaker 2: as possible, and both Trump and Harris wanted to get

698
00:34:48,239 --> 00:34:50,120
Speaker 2: past it, Harris more so than Trump.

699
00:34:50,280 --> 00:34:52,800
Speaker 1: Harris stayed about the same statement she made at the

700
00:34:52,880 --> 00:34:57,279
Speaker 1: DNC YEP she first mentioned October seventh, talked about how

701
00:34:57,280 --> 00:34:59,480
Speaker 1: far too many intocent Palestinians have been killed the war.

702
00:34:59,560 --> 00:35:02,000
Speaker 3: Mustan I mean a Ceespire deal, the hostages out. We

703
00:35:02,000 --> 00:35:03,800
Speaker 3: need to chart a course for a two state solution

704
00:35:03,920 --> 00:35:06,640
Speaker 3: and rebuild Gaza. We will always give Israel the ability

705
00:35:06,640 --> 00:35:09,040
Speaker 3: to defend itself, especially in relation to Iran. That was

706
00:35:09,120 --> 00:35:12,680
Speaker 3: most of her statement, which is nothing new from her now.

707
00:35:12,800 --> 00:35:15,040
Speaker 3: Trump first tried to skip the question and just immediately

708
00:35:15,040 --> 00:35:18,880
Speaker 3: talking about Russia. He then said that Kamala hates Israel

709
00:35:18,920 --> 00:35:21,840
Speaker 3: and she also hates the Arab people. The whole area

710
00:35:21,920 --> 00:35:25,640
Speaker 3: will be bombed under her presidency, saying that if he

711
00:35:25,680 --> 00:35:29,200
Speaker 3: gets elected as president elect, he will solve the war,

712
00:35:29,480 --> 00:35:31,320
Speaker 3: and then he just talked about like how oil pipelines

713
00:35:31,360 --> 00:35:31,920
Speaker 3: are important.

714
00:35:32,440 --> 00:35:35,960
Speaker 2: It was so weird interesting to me that he tried

715
00:35:36,040 --> 00:35:39,280
Speaker 2: to skip this when this is one of the things

716
00:35:39,280 --> 00:35:42,040
Speaker 2: she's weakest on the things. But I think it may

717
00:35:42,080 --> 00:35:46,200
Speaker 2: just be that, like Americans overwhelmingly at this point do

718
00:35:46,320 --> 00:35:50,239
Speaker 2: not think Israel is categorically in the wrong. They think

719
00:35:50,280 --> 00:35:54,160
Speaker 2: that Israel is often in the wrong in this war

720
00:35:54,200 --> 00:35:56,480
Speaker 2: and has been killing a lot of innocent people. And

721
00:35:56,520 --> 00:35:58,440
Speaker 2: so it may just be that he knows that, Like,

722
00:35:59,120 --> 00:36:01,560
Speaker 2: this isn't really a rate issue for me either, Let's

723
00:36:01,640 --> 00:36:04,400
Speaker 2: move back to something. But it was It was interesting

724
00:36:04,440 --> 00:36:08,520
Speaker 2: to me that he didn't have any kind of concerted attack,

725
00:36:08,760 --> 00:36:12,399
Speaker 2: Like saying she hates Israel and Arabs is such a

726
00:36:12,560 --> 00:36:17,080
Speaker 2: strange tactic to take here, And I don't see how

727
00:36:17,080 --> 00:36:18,399
Speaker 2: he thought it could help him.

728
00:36:18,560 --> 00:36:19,839
Speaker 3: Who are you trying to appeal to?

729
00:36:20,440 --> 00:36:23,120
Speaker 2: Right, How is this supposed to get you a vote?

730
00:36:23,160 --> 00:36:25,560
Speaker 2: What vote does this get you that you don't have?

731
00:36:25,760 --> 00:36:27,400
Speaker 1: There's just no way that was like what was in

732
00:36:27,400 --> 00:36:30,919
Speaker 1: his campaign prep? Yeah, that was not advice, There's no way.

733
00:36:31,120 --> 00:36:33,359
Speaker 3: Yeah, Kamla did have a good line here to think

734
00:36:33,400 --> 00:36:37,640
Speaker 3: points towards her, like recording that sec people she said,

735
00:36:38,239 --> 00:36:40,080
Speaker 3: it's well known that Trump is a weak on foreign

736
00:36:40,120 --> 00:36:44,760
Speaker 3: policy and national security. He's pro dictator. Yeah. Yeah, Trump

737
00:36:44,800 --> 00:36:46,839
Speaker 3: just doesn't have any way to answer that, because yeah,

738
00:36:46,840 --> 00:36:48,960
Speaker 3: he does want to be a dictator. He just he

739
00:36:49,120 --> 00:36:52,640
Speaker 3: just offended the president of Hungary like a few minutes ago.

740
00:36:53,280 --> 00:36:55,560
Speaker 2: Yeah, like called him a strong man and said that

741
00:36:55,560 --> 00:36:56,560
Speaker 2: that means he's tough.

742
00:36:56,880 --> 00:36:57,080
Speaker 4: Well.

743
00:36:57,120 --> 00:36:59,319
Speaker 2: He also she had a good line about how like

744
00:36:59,640 --> 00:37:01,719
Speaker 2: he's not going to be tough with these people. They're

745
00:37:01,760 --> 00:37:03,759
Speaker 2: just going to like say something nice to him and

746
00:37:03,760 --> 00:37:07,000
Speaker 2: then he'll immediately want to be their friends. Like, yeah,

747
00:37:07,040 --> 00:37:09,839
Speaker 2: that was a decent little jab. She got a few

748
00:37:09,840 --> 00:37:11,920
Speaker 2: of those in more than a few. I want to

749
00:37:11,960 --> 00:37:14,040
Speaker 2: talk about since we're kind of running along just a

750
00:37:14,040 --> 00:37:16,800
Speaker 2: little bit at the end tier after the debate ended,

751
00:37:16,880 --> 00:37:19,279
Speaker 2: I caught this. I don't think you guys did, but

752
00:37:19,400 --> 00:37:22,919
Speaker 2: Trump went down to what's called the no spin zone,

753
00:37:23,440 --> 00:37:26,080
Speaker 2: which is just a thing Fox did I start. I

754
00:37:26,080 --> 00:37:27,359
Speaker 2: think it started in the Handity show.

755
00:37:27,480 --> 00:37:31,279
Speaker 1: I caught the Fox immediate after the debate response, do

756
00:37:31,280 --> 00:37:33,839
Speaker 1: you want me to get into that? It's just one

757
00:37:33,960 --> 00:37:37,719
Speaker 1: quick thing. Sure, yeah, So immediate response from Fox was

758
00:37:38,080 --> 00:37:41,040
Speaker 1: Vice President Harris was clearly well prepared, but she was

759
00:37:41,080 --> 00:37:43,480
Speaker 1: never held to the fire and felt like ABC was

760
00:37:43,520 --> 00:37:46,839
Speaker 1: helping her out. He went down a few cat and

761
00:37:48,440 --> 00:37:52,600
Speaker 1: cat and dog holes instead of rabbit holes and not

762
00:37:52,840 --> 00:37:56,240
Speaker 1: rabbit holes. That was a direct thing to the eating

763
00:37:56,280 --> 00:37:59,560
Speaker 1: pets thing. Make no a snake about it. Trump had

764
00:37:59,600 --> 00:38:00,279
Speaker 1: a bad night.

765
00:38:00,680 --> 00:38:01,920
Speaker 2: Yeah, that's interesting.

766
00:38:02,480 --> 00:38:05,840
Speaker 1: Then just talked about how she was calm and prepared

767
00:38:05,880 --> 00:38:08,480
Speaker 1: and whatnot. But then you know, Hannity came on and

768
00:38:08,560 --> 00:38:11,120
Speaker 1: did his Hannity thing and then I'm.

769
00:38:11,120 --> 00:38:11,959
Speaker 3: No spin zone.

770
00:38:12,360 --> 00:38:14,600
Speaker 2: That must have been why Trump was heading down to

771
00:38:14,640 --> 00:38:16,640
Speaker 2: the no spin zone. So what happened? You've got this.

772
00:38:17,120 --> 00:38:19,319
Speaker 2: It's the floor of where they did the debate, so

773
00:38:19,400 --> 00:38:22,839
Speaker 2: everyone is everywhere, tons of media and Trump. There's like

774
00:38:22,880 --> 00:38:25,800
Speaker 2: this huge scrum around him and I'm watching on ABC

775
00:38:26,080 --> 00:38:29,120
Speaker 2: and the ABC anchors just start screaming at him from

776
00:38:29,160 --> 00:38:32,680
Speaker 2: like Donald Donald, mister president, trying to get him to

777
00:38:32,719 --> 00:38:35,560
Speaker 2: answer their questions and like everyone is doing this and

778
00:38:35,600 --> 00:38:38,919
Speaker 2: he eventually like gives a statement where he says, well,

779
00:38:38,920 --> 00:38:41,080
Speaker 2: this was my favorite debate. This was like the best

780
00:38:41,120 --> 00:38:44,800
Speaker 2: debate I've ever had. I clearly won. Someone was like,

781
00:38:44,840 --> 00:38:46,600
Speaker 2: so are you going to do a second debate? Harris

782
00:38:46,600 --> 00:38:48,440
Speaker 2: says she wants another debate and he's like, well, she

783
00:38:48,520 --> 00:38:50,600
Speaker 2: just wants another debate because she lost, So I don't

784
00:38:50,640 --> 00:38:53,000
Speaker 2: know if I'm going to do another debate. I found

785
00:38:53,080 --> 00:38:56,000
Speaker 2: that very funny. I found it kind of shameful how

786
00:38:56,000 --> 00:38:58,839
Speaker 2: the ABC guys just kept howling at him to give

787
00:38:58,880 --> 00:39:01,600
Speaker 2: them some attention of this very crowded room. There was

788
00:39:01,640 --> 00:39:04,240
Speaker 2: no way he could hear you. He's an old man. Guys,

789
00:39:04,400 --> 00:39:07,520
Speaker 2: have some self fucking respect. You're supposed to be journalists,

790
00:39:08,160 --> 00:39:10,480
Speaker 2: and you had a colleague down there who was actually

791
00:39:10,520 --> 00:39:13,359
Speaker 2: asking him questions. But anyway, yeah, so yeah, I mean,

792
00:39:13,400 --> 00:39:16,719
Speaker 2: there wasn't a ton there other than him kind of

793
00:39:16,800 --> 00:39:19,160
Speaker 2: desperately trying. And one of them did make the good

794
00:39:19,200 --> 00:39:22,440
Speaker 2: point that, like he is claiming, I obviously won the debate,

795
00:39:22,520 --> 00:39:26,080
Speaker 2: as he heads down to the spin zone spin his loss,

796
00:39:26,320 --> 00:39:29,640
Speaker 2: which is like, yeah, it's not a position of strength. No,

797
00:39:29,760 --> 00:39:31,400
Speaker 2: I don't know that you would have been doing this

798
00:39:31,480 --> 00:39:34,879
Speaker 2: if this had been a clean win, but it certainly wasn't.

799
00:39:35,160 --> 00:39:39,239
Speaker 2: And yeah, like I think tonight went pretty badly for him.

800
00:39:39,360 --> 00:39:39,560
Speaker 3: Yeah.

801
00:39:39,680 --> 00:39:42,239
Speaker 1: Yeah, CNN was like foaming at.

802
00:39:42,200 --> 00:39:43,640
Speaker 2: The mouth happy or sad.

803
00:39:44,600 --> 00:39:47,920
Speaker 1: A CNN was thrilled. They're foaming at the mouth for

804
00:39:48,000 --> 00:39:50,759
Speaker 1: Kamala Harris that nobody else has done what she's been

805
00:39:50,800 --> 00:39:55,480
Speaker 1: able to do, and then something else happened that made

806
00:39:55,600 --> 00:40:00,680
Speaker 1: CNN and MSNBC thrilled and ruined one trumpet visor's day.

807
00:40:00,840 --> 00:40:05,120
Speaker 1: I'm sure Taylor Swift endorsed Kamala Harris for president right

808
00:40:05,160 --> 00:40:08,000
Speaker 1: after the debate, And if only we could have seen

809
00:40:08,719 --> 00:40:12,279
Speaker 1: that Trump advisor whispered in his ear that he did not,

810
00:40:12,400 --> 00:40:17,480
Speaker 1: in fact, despite that AI fake endorsement get endorsed by

811
00:40:17,680 --> 00:40:20,240
Speaker 1: childless cat lady Taylor Swift.

812
00:40:20,840 --> 00:40:27,040
Speaker 2: That's so interesting to me that she couched her endorsement

813
00:40:27,160 --> 00:40:29,960
Speaker 2: in I am doing this because of the AI that

814
00:40:30,160 --> 00:40:32,239
Speaker 2: Trump kept retweeting.

815
00:40:32,160 --> 00:40:35,360
Speaker 3: Yeah, retruth thing, Sorry, retruthing.

816
00:40:34,920 --> 00:40:37,719
Speaker 2: Retruthing, Yes, you're right, I apologize. I didn't mean to.

817
00:40:38,280 --> 00:40:40,520
Speaker 2: I'm not going to make that joke anyway, Garrison, what

818
00:40:40,520 --> 00:40:41,360
Speaker 2: were you going to say?

819
00:40:42,360 --> 00:40:45,440
Speaker 3: Just that that's all just retruth thing.

820
00:40:45,920 --> 00:40:48,600
Speaker 2: It's interesting to me that she she did specifically like

821
00:40:48,760 --> 00:40:51,080
Speaker 2: couch it and like is it's because of what he

822
00:40:51,120 --> 00:40:53,799
Speaker 2: did with this AI video like that, I felt like

823
00:40:53,840 --> 00:40:55,319
Speaker 2: I had a need to come out and say who

824
00:40:55,360 --> 00:40:58,359
Speaker 2: I'm voting for. Yeah, Also, she has a cute cat.

825
00:40:58,480 --> 00:40:59,640
Speaker 2: I hadn't seen her cat before.

826
00:40:59,800 --> 00:41:03,040
Speaker 1: It's it's also that, but because I pay attention to

827
00:41:03,040 --> 00:41:05,560
Speaker 1: Taylor Swift news, she was getting hammered a little bit

828
00:41:05,600 --> 00:41:08,320
Speaker 1: in the last week because one of her good friends,

829
00:41:08,360 --> 00:41:11,880
Speaker 1: Brittany Mahomes, who's the wife of Patrick Mahomes, who is

830
00:41:12,000 --> 00:41:16,600
Speaker 1: Taylor Shift's boyfriends Travis Kelsey's teammate Jesus Christ, You're welcome,

831
00:41:16,880 --> 00:41:22,000
Speaker 1: has liked several of Trump's posts and uh, truth truths. No,

832
00:41:22,080 --> 00:41:23,439
Speaker 1: I don't know where it.

833
00:41:23,400 --> 00:41:23,719
Speaker 3: Was to be.

834
00:41:23,880 --> 00:41:25,520
Speaker 1: I think it was actually think I don't I actually

835
00:41:25,560 --> 00:41:27,600
Speaker 1: don't think it was his posts. I think it was

836
00:41:27,640 --> 00:41:30,839
Speaker 1: a post about him, pro Trump post on Instagram, very

837
00:41:30,840 --> 00:41:33,640
Speaker 1: important to this election. Yes, and and then and then

838
00:41:33,640 --> 00:41:36,319
Speaker 1: they were seen together at the US Open and and

839
00:41:36,440 --> 00:41:39,359
Speaker 1: the Girl bosses were very unhappy with Taylor about this,

840
00:41:39,760 --> 00:41:43,400
Speaker 1: and so so I think that also played into the timing. Robert,

841
00:41:43,480 --> 00:41:45,359
Speaker 1: just so you know, know you're Taylor Swift facts by

842
00:41:45,360 --> 00:41:46,080
Speaker 1: Sophie Lickterman.

843
00:41:46,320 --> 00:41:49,520
Speaker 2: Sorry, Sophie, Well you were talking about washed up musician

844
00:41:49,560 --> 00:41:50,240
Speaker 2: Taylor Swift.

845
00:41:54,400 --> 00:41:56,759
Speaker 3: They're going to get on are going to get on

846
00:41:56,840 --> 00:41:58,840
Speaker 3: our ass. They will get our show canceled.

847
00:41:58,960 --> 00:42:01,880
Speaker 5: Robert Evans, we are not in that era. I was

848
00:42:01,920 --> 00:42:06,879
Speaker 5: getting that, I was getting crucial debate. Take from America's

849
00:42:07,040 --> 00:42:12,000
Speaker 5: most influential celebrity, Gilbert artist, Scott Adams.

850
00:42:12,080 --> 00:42:12,719
Speaker 3: What do you think?

851
00:42:12,960 --> 00:42:16,160
Speaker 2: No, the debate is a tie so far with lots

852
00:42:16,160 --> 00:42:19,280
Speaker 2: of folks is flying a tie? Is a win for Harris?

853
00:42:20,320 --> 00:42:22,280
Speaker 3: Well, that's true. I think that is true.

854
00:42:22,719 --> 00:42:25,080
Speaker 2: There you go, Scott, good work.

855
00:42:25,440 --> 00:42:28,279
Speaker 3: Scott comes out saying that Harris won the debate. There

856
00:42:28,320 --> 00:42:32,640
Speaker 3: you go. That's great. Finally, I do think it's funny

857
00:42:32,680 --> 00:42:35,200
Speaker 3: that Trump claimed that he didn't know about his previous

858
00:42:35,239 --> 00:42:38,960
Speaker 3: comments questioning if Kamala Harris was black. That was a very.

859
00:42:40,040 --> 00:42:42,920
Speaker 2: Talk about that moment. Oh, were you accused her of

860
00:42:42,960 --> 00:42:43,880
Speaker 2: putting out too?

861
00:42:44,680 --> 00:42:49,040
Speaker 3: What was that to talk? He was also like saying, well,

862
00:42:49,200 --> 00:42:51,920
Speaker 3: the Central Park five pled guilty. So actually I think

863
00:42:51,960 --> 00:42:56,200
Speaker 3: it was okay. I wanted them executed. It is a wild,

864
00:42:56,320 --> 00:42:58,040
Speaker 3: a wild unforced error there.

865
00:42:58,239 --> 00:42:58,680
Speaker 2: Man.

866
00:42:59,320 --> 00:43:02,040
Speaker 3: That whole little subsection was just crazy.

867
00:43:02,600 --> 00:43:04,880
Speaker 2: Look, I will take one quick victory lap because I

868
00:43:04,920 --> 00:43:08,520
Speaker 2: said after the last debate, which was a disaster in

869
00:43:08,600 --> 00:43:12,479
Speaker 2: every possible way for Biden. Trump's not his soul self either.

870
00:43:12,600 --> 00:43:15,239
Speaker 2: He is definitely an older man. Yeah, he was in

871
00:43:15,320 --> 00:43:18,759
Speaker 2: twenty sixteen and even twenty twenty, and like, yeah, this

872
00:43:19,320 --> 00:43:19,520
Speaker 2: was that.

873
00:43:20,760 --> 00:43:23,359
Speaker 3: Well, hopefully this was the only presidential debate that we'll

874
00:43:23,400 --> 00:43:26,920
Speaker 3: have to talk about with Kamala v. Trump. What an

875
00:43:26,960 --> 00:43:30,840
Speaker 3: exciting time. I'm excited for that, for that Vance Walls debate,

876
00:43:31,160 --> 00:43:32,160
Speaker 3: if that ever happens.

877
00:43:32,200 --> 00:43:36,520
Speaker 1: So am I Oh interesting that, Like our reaction after

878
00:43:36,560 --> 00:43:40,319
Speaker 1: this debate was like, Okay, she shouldn't do any other

879
00:43:40,360 --> 00:43:42,959
Speaker 1: debates and he's going to want to do more debates. Yeah,

880
00:43:42,960 --> 00:43:45,719
Speaker 1: And it was the exact opposite in their in their reactions.

881
00:43:45,840 --> 00:43:48,560
Speaker 2: Yeah, I was interested by that, which.

882
00:43:48,400 --> 00:43:51,920
Speaker 1: Like on MSNBC Tim Walls was like she should do

883
00:43:51,960 --> 00:43:55,120
Speaker 1: one every day. I mean, she did good, she did well,

884
00:43:55,160 --> 00:43:58,000
Speaker 1: But like my reaction was like, Okay, you did the job.

885
00:43:58,200 --> 00:43:58,879
Speaker 3: You did the job.

886
00:43:59,480 --> 00:44:01,920
Speaker 2: I do think like I have like, oh boys, I

887
00:44:02,000 --> 00:44:04,560
Speaker 2: think this might be Hubris coming in here and a

888
00:44:04,600 --> 00:44:08,760
Speaker 2: bad idea. But she could be right. I don't know. Yeah, yeah,

889
00:44:08,840 --> 00:44:12,480
Speaker 2: Like one of the problems is that if the election

890
00:44:12,760 --> 00:44:16,200
Speaker 2: doesn't turn around as much, or if something else happens

891
00:44:16,200 --> 00:44:19,920
Speaker 2: that pushes momentum back towards Trump, she might need a

892
00:44:19,960 --> 00:44:22,319
Speaker 2: third debate And you kind of have to you kind

893
00:44:22,320 --> 00:44:24,960
Speaker 2: of can't know, like you are rolling the dice on

894
00:44:25,000 --> 00:44:25,960
Speaker 2: this one way or the other.

895
00:44:26,200 --> 00:44:30,200
Speaker 3: Yeah, well that was the best debate I've ever watched. Yeah,

896
00:44:30,239 --> 00:44:32,080
Speaker 3: just in terms of it actually being a debate. Yeah,

897
00:44:32,120 --> 00:44:33,920
Speaker 3: there was not a half dead man on screen, or

898
00:44:34,120 --> 00:44:37,439
Speaker 3: yeah maybe there was. There just wasn't two half dead

899
00:44:37,440 --> 00:44:40,120
Speaker 3: men on screen, so you just.

900
00:44:40,120 --> 00:44:42,680
Speaker 2: Get a good look at like, Okay, yeah, these are

901
00:44:42,760 --> 00:44:46,800
Speaker 2: these are pretty decent pictures of the kinds of president

902
00:44:47,040 --> 00:44:48,239
Speaker 2: that these people want to be.

903
00:44:48,560 --> 00:44:51,840
Speaker 1: And like it literally comes down to he was not

904
00:44:52,000 --> 00:44:55,120
Speaker 1: willing to shake her hand and she walked across the

905
00:44:55,120 --> 00:44:57,880
Speaker 1: stage to shake his hand, and that's basically what the

906
00:44:57,920 --> 00:44:58,520
Speaker 1: debate was.

907
00:44:59,160 --> 00:45:00,080
Speaker 2: Yeah.

908
00:45:00,120 --> 00:45:03,759
Speaker 1: Anyway, anyways, this has been It could Happen here. We're

909
00:45:03,760 --> 00:45:06,360
Speaker 1: going to post our source links from this episode in

910
00:45:06,480 --> 00:45:08,880
Speaker 1: the episode description, so look out for that.

911
00:45:09,560 --> 00:45:14,600
Speaker 2: Yeah, that's right, and you know, until next time. I

912
00:45:14,600 --> 00:45:15,720
Speaker 2: don't really have any advice.

913
00:45:16,360 --> 00:45:19,640
Speaker 1: Bye.

914
00:45:20,239 --> 00:45:22,840
Speaker 4: It could Happen Here is a production of cool Zone Media.

915
00:45:22,920 --> 00:45:25,920
Speaker 4: For more podcasts from cool Zone Media, visit our website

916
00:45:26,040 --> 00:45:29,640
Speaker 4: coolzonmedia dot com, or check us out on the iHeartRadio app,

917
00:45:29,680 --> 00:45:31,760
Speaker 4: Apple Podcasts, or wherever.

918
00:45:31,400 --> 00:45:34,200
Speaker 1: You listen to podcasts. You can now find sources for

919
00:45:34,239 --> 00:45:37,359
Speaker 1: it Could Happen Here listed directly in episode descriptions, Thanks

920
00:45:37,400 --> 00:45:37,960
Speaker 1: for listening,