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Speaker 1: Hey, guys, we are back on the show when Normal,

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Speaker 1: which takes from Windom News gets weird.

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Speaker 2: I am Mary Tavin here.

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Speaker 3: And I'm Carol Marco. I'm Mary Catherine. How are you doing.

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Speaker 2: I'm doing all right. There's no rioting by my house,

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Speaker 2: so we're good.

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Speaker 3: Not from yet.

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Speaker 4: It spreads, It does spread.

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Speaker 3: The protests do continue in Los Angeles, and despite the

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Speaker 3: fact that we are frequently told on the ex platform

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Speaker 3: that they are contained and we're being hysterical, Mayor of

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Speaker 3: Los Angeles did impose a curfew last night, which is

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Speaker 3: odd for protests that are not spreading and are super contained,

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Speaker 3: and they are spreading to other places like Chicago, New

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Speaker 3: York City.

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Speaker 4: They tried it in Tampa.

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Speaker 3: One of my Twitter buddies, West Tennessee Barbecue described it

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Speaker 3: as tens and tens of people. Yeah, and there were

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Speaker 3: a lot of counter protesters and it was all quite hilarious.

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Speaker 3: But they are calling for a day of action this Saturday,

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Speaker 3: so it remains to be seen whether these protests really

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Speaker 3: will spread to other cities and cause fires and damage

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Speaker 3: there as well.

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Speaker 2: Well.

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Speaker 1: And I think, look, I'm fine with you guys being

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Speaker 1: wary of the federal government's exertion of power.

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Speaker 2: Welcome to the party on that. And protests are how

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Speaker 2: you address that? That's fine?

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Speaker 4: Protest away, yeah, pro just away.

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Speaker 1: Do not set things on fire, easy call, Do not

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Speaker 1: block traffic, do.

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Speaker 2: Not loot, do not loot.

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Speaker 1: Oh, by the way, did you see that the I

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Speaker 1: saw a clip where some Apple iPhones that have been

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Speaker 1: looted in LA started blaring alarms and saying return me

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Speaker 1: to the such and such store or it's amazing, like

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Speaker 1: the AI gotcha, and the AI was like, we're going

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Speaker 1: to contact the authorities on behalf of this stolen iPhone.

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Speaker 1: And I was like, I was like, the iPhones have

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Speaker 1: risen up in defense of the waymos, which.

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Speaker 2: Self driving cars. Amazing. Yeah, so just like, don't do

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Speaker 2: those things.

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Speaker 5: Don't do those things.

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Speaker 1: Already in New York City where protests have begun, you

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Speaker 1: have folks blocking traffic. And you know what that means, Carol,

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Speaker 1: is that normis can't do normal things because there are

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Speaker 1: people who just need to run errands, and there are

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Speaker 1: people who need to pick up their kids from daycare,

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Speaker 1: people who need to go to work. And you and

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Speaker 1: I both saw this fantastic clip illustrating the dynamic between

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Speaker 1: normal city dwellers and lefty protesters where a woman is

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Speaker 1: trying to go to work, and this is the interaction

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Speaker 1: she has with two lily white.

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Speaker 2: Protesters important there who are.

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Speaker 1: No doubt well educated and for some reason able to

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Speaker 1: take off a Tuesday to protest in the streets and

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Speaker 1: block her way.

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Speaker 2: And here's the interaction that they.

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Speaker 6: Have about, I just knock again, you're not going?

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Speaker 7: How is it the people protest?

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Speaker 5: How I'm stopping a black woman from going to work?

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Speaker 6: Oh no, not work?

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Speaker 3: So you don't care about stopping black people from going

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Speaker 3: to work?

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Speaker 5: Look at this, I'm not pausing the facial expressions.

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Speaker 3: Kind of make that video so if you can look

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Speaker 3: it up and go see her. But when he starts

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Speaker 3: making fun of the idea of her going to work,

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Speaker 3: her face is like if she was ever sympathetic to

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Speaker 3: any part of this, she no longer is.

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Speaker 2: Oh no, not work.

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Speaker 1: Has never been uttered by someone who doesn't have resources like.

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Speaker 2: This guy is fine.

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Speaker 1: Yes, this tonytailed lib is gonna be fine. He's gonna

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Speaker 1: have plenty of food today and all the things he

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Speaker 1: needs furnished for him. She would like to furnish those

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Speaker 1: things for her children. And this is what she gets

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Speaker 1: and she I love the part where she's like like

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Speaker 1: help me, help my yess and they're like they're like, no,

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Speaker 1: you're American, can't care about you.

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Speaker 5: Today is not about your kid.

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Speaker 1: It is such a clear illustration of so many things

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Speaker 1: that drive this and I know there are sincere people

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Speaker 1: out there, but telling that poor woman that this is peace,

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Speaker 1: thus blocking a roadway is peace, that this is good

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Speaker 1: people things.

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Speaker 2: We're doing good people things.

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Speaker 1: Stop yelling at us, lady who wants to feed your

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Speaker 1: children and her saying you could help me by just moving.

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Speaker 2: That's it. It's very simple. You don't have to set

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Speaker 2: anything on fire. Just let me drive.

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Speaker 5: Yeah, has her.

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Speaker 3: Not being able to drive help them? Like, how in

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Speaker 3: the world is it at all helping any clause that

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Speaker 3: they want to support at all? I just it never

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Speaker 3: made any sense to me, like, let me inconvenience a

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Speaker 3: bunch of people who might even be on our side,

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Speaker 3: and that will make them be on our side, because

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Speaker 3: it won't. It definitely will not.

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Speaker 1: Doctor Drew talked about the song Guy Benson Show recently,

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Speaker 1: talking about the sort of the mental health mental health

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Speaker 1: issues that liberals self identify with at far higher levels

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Speaker 1: than Republicans, and he was talking about that and he

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Speaker 1: said a lot of this and sort of left activism

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Speaker 1: is an exercise in just having emotions loudly and putting

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Speaker 1: them on other people, right, And so a lot of

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Speaker 1: this is because if you ask them to explain how

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Speaker 1: it's going to help, they don't know. They're just like,

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Speaker 1: we're making noise, We're doing the thing. We want you

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Speaker 1: to feel the pain that we want you to feel,

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Speaker 1: and that's the end of the plan. And I think

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Speaker 1: the same is true of their leaders, where Newsom and

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Speaker 1: Bass are just having sort of emotional outbursts saying like

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Speaker 1: come at me, tough guy, and it's like arrest me,

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Speaker 1: why don't you? Why are you tough guy? The criminals

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Speaker 1: that would be that would be the thing to do.

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Speaker 1: And in these cities, I just am so fed up.

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Speaker 1: And look, it's why I don't live in a major city,

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Speaker 1: but I am so fed up on behalf of people

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Speaker 1: who live there with the idea that just simple things

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Speaker 1: like law enforcement being allowed to say no, you can't

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Speaker 1: block the road, is that's somehow fascist?

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Speaker 4: Yeah?

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Speaker 3: Yeah, So you know, the last episode, we talked about

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Speaker 3: how people were minimizing all of this and The La

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Speaker 3: Times had an article titled all of LA is not

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Speaker 3: a war zone. Okay, I was writing a market and

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Speaker 3: I did mock it a little bit because, okay, not

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Speaker 3: all of LA is a war zone. Even if only

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Speaker 3: part of one of our major cities is a war zone,

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Speaker 3: I find that problematic.

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Speaker 2: Well, this is the this is the jd Vance line

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Speaker 2: from the debate.

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Speaker 1: I feel like one hotel taken over by.

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Speaker 2: Would be yeah, more than enough for us to be

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Speaker 2: out about.

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Speaker 5: Yeah, exactly so.

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Speaker 3: But the La Times had that headline and they said

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Speaker 3: we separate facts from spin and disinformation abid amid immigration raids.

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Speaker 3: And I guess the La Times is actually working on

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Speaker 3: being a real newspaper. So the article did actually clear

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Speaker 3: up some disinformation, which I found, you know, unusual.

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Speaker 5: There were stories, it was.

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Speaker 3: It was really wild because because I immediately made fun

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Speaker 3: of the headline and then I read the article and

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Speaker 3: I was like, this article is not bad, this is

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Speaker 3: pretty good.

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Speaker 1: They clickbaited and then did some journalism under it.

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Speaker 4: Yeah, oh they really got me.

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Speaker 3: So there were stories circulating n LA that ice had

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Speaker 3: raided a school, and lots of people spread it of

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Speaker 3: course on X you know, like they're ripping these kids

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Speaker 3: out of their middle school graduations.

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Speaker 4: The LA Time article says this did not happen.

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Speaker 3: There was another story about ice rating a hotel and

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Speaker 3: taking out workers that didn't happen either. They allude to

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Speaker 3: the home depot story, but that's the only one they

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Speaker 3: were kind of weak on.

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Speaker 4: They didn't specifically say it didn't happen.

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Speaker 3: But there's been a lot of reports that the home

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Speaker 3: depot raid that also was rumored to have happened, yeah, also.

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Speaker 4: Did not happen.

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Speaker 3: So I don't know how many people are listening to

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Speaker 3: this that are inflamed by stories that they're hearing. I

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Speaker 3: think probably our audience is a little bit more savvy

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Speaker 3: than that.

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Speaker 4: I think that they would not automatically believe sensational stories.

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Speaker 5: But if you do, if you've heard.

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Speaker 3: Stories, like, give it a minute. I take this approach

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Speaker 3: to anything, really, to any major story breaking, give it

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Speaker 3: a second, see what develops.

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Speaker 1: Yeah, and like all of these things, you know, I

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Speaker 1: do think that there are ways that the federal government

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Speaker 1: can certainly overstep in doing its duty, which the cities

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Speaker 1: are preventing it from doing. I worry about marines because

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Speaker 1: what are the rules of engagement here?

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Speaker 2: That is a step beyond National Guard.

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Speaker 1: National Guard I'm pretty comfortable with because I don't I

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Speaker 1: didn't love twenty twenty.

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Speaker 2: I didn't love Summer of twenty twenty. Guys.

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Speaker 5: Some of the summer riots not for me.

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Speaker 1: Really, I'm done with that. And so I'm okay with,

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Speaker 1: you know, enforcing the laws. And many Americans are, and

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Speaker 1: as CNN found out, a lot of those Americans are

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Speaker 1: in the immigrant community. I love when Harry Enson, who

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Speaker 1: is the numbers guy at CNN, the poll like, look

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Speaker 1: deep at the polling guy when he comes out. He

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Speaker 1: does about a weekly segment where like Kate Baldwin, the

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Speaker 1: anchor has to be like.

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Speaker 2: Oh right, really, and he's just like, he's.

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Speaker 1: Just like breaking brains with this seemingly counterintuitive information.

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Speaker 2: Let's hear him do so.

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Speaker 8: Start off on the fact that immigrant citizens, immigrant voters

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Speaker 8: forigm bow and voters have gone tremendously to the right

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Speaker 8: on this issue in twenty twenty four and twenty twenty

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Speaker 8: five versus where they were on twenty twenty. Closest to

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Speaker 8: trust more in immigration, you go back to twenty twenty,

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Speaker 8: Democrats Get This held a thirty two point lead on

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Speaker 8: this issue. Immigrant voters were in the Democratic camp. Jump

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Speaker 8: forward to twenty twenty four to twenty twenty five.

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Speaker 2: Look at that.

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Speaker 8: Shift, a forty point shift to the right among immigrant voters.

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Speaker 8: Republicans now lead on this issue by eight points over Democrats,

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Speaker 8: more so than any other group that I could find.

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Speaker 8: The group of voters who became more hawkish on immigration

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Speaker 8: were in fact immigrants themselves, immigrants who are registered to

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Speaker 8: vote in this country.

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Speaker 2: So that's on that issue. How about how they feel

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Speaker 2: about kind of traditionally historically about Donald Trump.

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Speaker 8: Yeah, so you know, you see this shift, and you go,

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Speaker 8: what is going on underneath the hood? Well, take a

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Speaker 8: look donald Trump. You remember when he first ran back

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Speaker 8: in twenty sixteen, immigrant voters are one of his weakest bots.

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Speaker 8: But look at this. Trump's vote share in presidential elections

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Speaker 8: among again immigrant citizens, those who are registered to vote.

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Speaker 3: Look at this.

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Speaker 2: Twenty sixteen, you got.

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Speaker 8: Thirty six percent of the vote. You go to twenty twenty,

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Speaker 8: thirty nine percent of the vote. Look at this in

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Speaker 8: twenty twenty four, all the way up to fight forty

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Speaker 8: seven percent of the vote. Some polls I looked at

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Speaker 8: had him barely losing that vote. Some poles I looked

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Speaker 8: at had him barely winning that vote. Again, there is

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Speaker 8: no block of voters that shifted more to the right

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Speaker 8: from twenty twenty to twenty twenty four than immigrant voters,

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Speaker 8: and Donald Trump, at least in some surveys, actually won

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Speaker 8: that vote. On average, it's about equal.

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Speaker 2: So there may be all this.

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Speaker 8: Stuff right about undocumented immigrants and Trump being harsh on them,

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Speaker 8: but immigrant voters themselves have increasingly liked Donald Trump and

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Speaker 8: have increasingly moved to the right on immigration.

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Speaker 2: All right, thank you, Harry, You you can wrap that up.

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Speaker 1: I do enjoy that each of these segments, there's always

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Speaker 1: an attempt to be like.

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Speaker 2: Well, surely there's bad news.

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Speaker 1: Trump, and he keeps going through the numbers, and it

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Speaker 1: fact is that the news isn't bad and it's not.

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Speaker 2: Yeah. Look, we don't.

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Speaker 1: Always say that whatever's popular is right. But in this case,

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Speaker 1: what happened is a bunch of communities have a assimilated, immigrated,

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Speaker 1: and then related and then watched Biden let untold numbers

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Speaker 1: right come across the border without vetting, without a system,

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Speaker 1: ignoring our laws, and they got fed up.

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Speaker 2: That's what happened.

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Speaker 1: Like you just you hit a tipping point where this

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Speaker 1: wasn't cool with people anymore. And the Mexican immigrants and

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Speaker 1: Latin American immigrants from two generations ago now look around

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Speaker 1: and go like whoaa, whoa right, what's happening here with

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Speaker 1: the wave in the Mexican flag and setting cup cars

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Speaker 1: on fire.

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Speaker 3: That's not totally that's not us, right. I look, I'm

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Speaker 3: an immigrant. I feel this very strongly. I was always pretty,

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Speaker 3: you know, hardcore on illegal immigration, but I've certainly become

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Speaker 3: even more hardcore. I think that I don't know, I

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Speaker 3: think even just maybe a decade ago, I don't know

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Speaker 3: that I would have been like, oh, we should just

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Speaker 3: be rounding people up.

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Speaker 4: But it's gotten so bad that this is where we

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Speaker 4: are now.

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Speaker 3: And I also I find it very offensive when they

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Speaker 3: intertwine illegal and legal immigration as if it's one thing.

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Speaker 4: We're just not one thing. And I'm sorry.

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Speaker 3: You know, I told a story on X but my

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Speaker 3: mother's sister lived in Russia until her death.

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Speaker 4: She was not allowed to come visit.

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Speaker 3: She was not granted a tourist visa to come visit,

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Speaker 3: because the assumption always was that she would probably stay

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Speaker 3: because why why not you have a family, et cetera.

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Speaker 3: And she was already older, so she wouldn't be able

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Speaker 3: to work and she'd be a drain on the system.

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Speaker 3: We don't really know why, but this was the assumption.

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Speaker 3: We followed all those rules, and my mom would like

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Speaker 3: watch on TV the people streaming across the border.

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Speaker 4: And she'd say, my sister can't come visit me for

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Speaker 4: two weeks. And we followed those rules, and we followed

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Speaker 4: the law.

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Speaker 3: And it's galling when other people don't and they get

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Speaker 3: away with it. And this is why I legal immigrants. Also,

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Speaker 3: the whole come here, will give you a hotel room

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Speaker 3: and a check and all the different things, like we

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Speaker 3: had to promise somebody would take care of us.

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Speaker 5: There was no come let us take care of you.

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Speaker 4: It just doesn't exist, didn't.

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Speaker 1: I just think you run into real The Trump administration

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Speaker 1: can run into problems by overstepping right overplaying their hand.

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Speaker 1: And I think he's spoiling for that fight he wants

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Speaker 1: to do over twenty twenty.

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Speaker 2: He's happy to do that.

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Speaker 1: But I think you run into real problems with normies

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Speaker 1: when it is so obvious that you value those who

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Speaker 1: have broken those sas who have violated the system over

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Speaker 1: those who haven't.

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Speaker 2: And in fact, what you do is you soak the

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Speaker 2: ones who follow the rules to serve the.

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Speaker 1: Ones who do not, And that is what happens in

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Speaker 1: all of these cities, and it's so depressing and so

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Speaker 1: demoralizing as an actual citizen who's trying.

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Speaker 2: To do the right thing.

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Speaker 1: By the way, if anybody's worried about us living in

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Speaker 1: a fascist state, I do want to let you know

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Speaker 1: that the tweeting menswear guy, oh yeah, who I actually

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Speaker 1: started following back when he got promoted or whatever reason.

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Speaker 5: Yeah, I ended up following.

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Speaker 4: Yeah.

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Speaker 2: I enjoyed the takes. I was into it.

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Speaker 1: He has a very specialized kind of knowledge. It's interesting,

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Speaker 1: and he's gotten very big. And then he had to

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Speaker 1: signal how lefty he was, so he just started like

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Speaker 1: trashing right landing figures.

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Speaker 2: Outfits and like whatever.

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Speaker 1: I'm not a snowflake about it, but it's very obvious

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Speaker 1: that he's only picking right laning people. And then he

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Speaker 1: just decided during this week to say, oh, by the way,

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Speaker 1: I'm an illegal immigrant. And he was brought here by

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Speaker 1: his family when he was very young. He did not

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Speaker 1: really have a choice in this matter. Something that is

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Speaker 1: like more sympathetic certainly than other stories, sure, but like

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Speaker 1: the menswear guy is just going to tweet that he's

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Speaker 1: here illegally and pretend we live in a fascist state. Yeah,

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Speaker 1: but tweeting that he's here illegally just makes him probably

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Speaker 1: more famous and more money on X.

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Speaker 2: And you know the Vice PRIs.

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Speaker 1: No, and like, look, if he gets deported, you straight

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Speaker 1: up told everyone on the platform where the actual Homeland

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Speaker 1: Security and Vice President hang out a lot, that you're

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Speaker 1: here illegally. So like, that's well within what could happen

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Speaker 1: to you. You have assumed their risk here. But I

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Speaker 1: do think it's.

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Speaker 2: Kind of interesting that he's just still joking about stuff.

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Speaker 1: He's trolling on the X about this very pertinent fact

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Speaker 1: in our fascist state.

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Speaker 3: Right, and if he does get kicked out, he has

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Speaker 3: no one to blame but himself will be right back

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Speaker 3: on normally, speaking of crazy places that are doing crazy things,

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Speaker 3: New York City is going to have an election in

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Speaker 3: just a few days. They're going to have a primary election,

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Speaker 3: and traditionally, whoever wins the New York City mayoral Democratic

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Speaker 3: primary goes on to win the election.

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Speaker 2: This is the one party rule situation, right.

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Speaker 3: It may be a little bit different this time because

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Speaker 3: the current mayor Eric Adams is running as an independent,

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Speaker 3: so I'm not really sure how that's going to play

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Speaker 3: into this. I mean, I've said openly if I were

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Speaker 3: still living in New York, I would be holding on

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Speaker 3: to Eric Adams with both hands.

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Speaker 1: He you know, it's like which is which is such

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Speaker 1: a testament to the others.

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Speaker 5: It's like vote for the criminal. It's important, truly.

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Speaker 8: But in.

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Speaker 5: The top two.

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Speaker 3: Slots of the Democratic primary right now are former Governor

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Speaker 3: Andrew Cuomo and Zorn Mamandi, who is a Democratic Socialist

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Speaker 3: and is running to the left of that. I would

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Speaker 3: say he's running as a full on communist and he

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Speaker 3: may win.

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Speaker 1: Yeah, I mean, look, it's scary when the clearly best

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Speaker 1: options for normal people are Eric Adams and Andrew Cuomo.

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Speaker 1: And look, I don't want that guy to have a comeback.

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Speaker 5: No, I know, I know.

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Speaker 3: But what.

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Speaker 1: I'm dammy is like right out here saying I'm going

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Speaker 1: to freeze rents. He has no authority to do so,

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Speaker 1: it would it would ruin so many things. It was

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Speaker 1: just like a middle schooler being like, I'll give you

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Speaker 1: free treats from the vending machines, Like, no, you won't.

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Speaker 3: Right, He wants free buses, government run grocery stores, and

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Speaker 3: freezing the rent. I mean again, full on communist government

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Speaker 3: run grocery stores, Like I don't even think AOC would

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Speaker 3: be for that.

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Speaker 5: No, no, it's far out.

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Speaker 2: Somebody jokes that I think it was.

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Speaker 1: Ben Dreyfus pointed out that I'm sure they had decided

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Speaker 1: that AOC should endorse him, and when would she endorse him?

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Speaker 2: And you got to make the most impact possible. And

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Speaker 2: it happened on the day that Elon and it was amazing.

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Speaker 5: It really was, because it was like so like, will

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Speaker 5: she won't she? Will? She won't she?

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Speaker 4: And she finally did it, and it's like did not

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Speaker 4: make the news at all?

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Speaker 2: No, yeah, zero.

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Speaker 3: So a lot of people hear his ideas and say

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Speaker 3: that's ridiculous.

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Speaker 4: Obviously someone like that can't win.

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Speaker 3: But as I always like to say, it's very important

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Speaker 3: to remember that I will give you free stuff remains

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Speaker 3: a popular campaign tactic.

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Speaker 4: And I'm worried.

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Speaker 3: I don't know, some polls I've seen have him winning Brooklyn.

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Speaker 4: It's definitely a concern.

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Speaker 3: I hope Andrew Cuomo pulls it out in the Democratic primary.

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Speaker 3: The problem is that Cuomo is still super unlikable. And

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Speaker 3: you may remember that from twenty twenty and our friend

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Speaker 3: Justin Robert Young of the amazing political show Politics, Politics, Politics,

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Speaker 3: he points out on X that Mamandi is running a

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Speaker 3: very good campaign tactically, and Cuomo is acting like everyone

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Speaker 3: in New York City should be honored. He'd slum it

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Speaker 3: by running for mayor. So so yeah, that's how that's going.

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Speaker 3: Like Como wasn't showing up to mayoral forums. He was

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Speaker 3: really just acting as if like here I am, you

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Speaker 3: guys are so lucky to have me.

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Speaker 5: Yep, that might not work.

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Speaker 4: It might not work.

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Speaker 2: It might not.

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Speaker 1: And Zoron for his part, and I must say this

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Speaker 1: about every single one of the them that pops up Pep, Pete,

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Speaker 1: boudhajeedge aoc him. If they can talk, they're a danger.

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Speaker 1: And this guy can talk. His ads are very good,

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Speaker 1: they're creative. He is an interesting speaker, and so that's

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Speaker 1: always a challenge because he comes.

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Speaker 2: Off much more likable than quote like low bar.

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Speaker 1: But it is amazing to me that both LA and

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Speaker 1: New York right now in very different ways.

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Speaker 2: New York electorally LA.

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Speaker 1: In the streets, the lefty leaders are doing the things

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Speaker 1: that the American people that the normies, even in their towns,

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Speaker 1: left leaning towns.

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Speaker 2: Have told them they hate. They don't want chaos.

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Speaker 1: They don't want chaos on behalf of illegal immigrants and criminals,

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Speaker 1: convicted criminals.

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Speaker 2: By the way, many of these people that are being

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Speaker 2: picked up.

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Speaker 1: They don't like the far far left inability to govern

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Speaker 1: and deliver on services they do not want. That's why

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Speaker 1: the ezra klines of the intellectual lefty world to trying

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Speaker 1: to drag them back to the idea that they should

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Speaker 1: serve voters with an idea services, right, and they're just

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Speaker 1: like tripling down on all of it.

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Speaker 2: I don't know how they don't know. I don't think

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Speaker 2: they know how to pivot at this point.

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Speaker 3: Right, I kind of want to go back in time

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Speaker 3: and tell Carol and Mary Catherine of twenty twenty that

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Speaker 3: we'd be rooting for Andrew Pommo to.

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Speaker 5: Win, to win anything.

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Speaker 3: Really, I'm so not a fan of Andrew CMO. This

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Speaker 3: is again why I would prefer Adams if I were

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Speaker 3: New Yorker.

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Speaker 2: Just so imprincible. I don't even care how bad Adams is.

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Speaker 2: I'm like, I know, not this at all.

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Speaker 5: Exactly, And during the pandemic.

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Speaker 3: Clomo so openly hated New York City, and he was

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Speaker 3: just always so anti the city.

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Speaker 5: But there's this whole subtext of.

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Speaker 3: The mayor election where they get asked their bagel orders.

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Speaker 4: Yes, this is great, tell me your bagel order.

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Speaker 1: I mean, look, I'm not a connoisseur, so I think, like,

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Speaker 1: I'm not the one to ask, So we're going to

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Speaker 1: go to you second after I get my trash order out.

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00:22:06,840 --> 00:22:10,320
Speaker 4: But I would just say I bagel orders bow Jangles.

449
00:22:11,520 --> 00:22:13,040
Speaker 2: No, my my favorite.

450
00:22:13,080 --> 00:22:18,720
Speaker 1: My preference would be a fresh, warm everything bagel with plane,

451
00:22:18,720 --> 00:22:20,960
Speaker 1: cream cheese, right and possibly Lucks.

452
00:22:21,240 --> 00:22:25,280
Speaker 3: Okay, yeah, my order is everything, bagel, cream, cheese, tomato.

453
00:22:25,400 --> 00:22:29,080
Speaker 3: It's not crazy, it's not you know, anything fancy. The

454
00:22:29,160 --> 00:22:32,840
Speaker 3: thing is, when you're hearing the bagel orders in New York,

455
00:22:33,200 --> 00:22:35,719
Speaker 3: what New Yorkers are looking for is whether or not

456
00:22:35,800 --> 00:22:39,200
Speaker 3: you say toasted. If you say toasted, you're not from here.

457
00:22:39,560 --> 00:22:42,440
Speaker 3: So this is still still a New Yorker somewhere at heart.

458
00:22:42,520 --> 00:22:45,320
Speaker 3: But yeah, you're it's it's the if you're toasting, then

459
00:22:45,320 --> 00:22:47,480
Speaker 3: you're not going to a bagel shop that makes it fresh,

460
00:22:47,680 --> 00:22:48,600
Speaker 3: And then what are you doing?

461
00:22:48,640 --> 00:22:50,080
Speaker 4: You may as well have a supermarket based.

462
00:22:50,119 --> 00:22:52,399
Speaker 1: So this was new information to me because I have

463
00:22:52,480 --> 00:22:55,240
Speaker 1: never lived in a place with great bagels like New

464
00:22:55,320 --> 00:22:57,720
Speaker 1: York I did. We had a Burger's bagel, which is

465
00:22:57,720 --> 00:23:00,840
Speaker 1: a chain, and I'm sure you workers would look down

466
00:23:00,880 --> 00:23:01,199
Speaker 1: upon it.

467
00:23:01,240 --> 00:23:03,440
Speaker 2: However, they did have fresh bagels, which is why.

468
00:23:03,520 --> 00:23:04,359
Speaker 4: That's all that matters.

469
00:23:04,480 --> 00:23:07,480
Speaker 1: I want the hot one, right right, but I will,

470
00:23:07,600 --> 00:23:09,800
Speaker 1: you know, toast one when I don't have that option.

471
00:23:10,920 --> 00:23:18,480
Speaker 1: But I believe let's see, it was Zorn's was toasted,

472
00:23:18,680 --> 00:23:20,440
Speaker 1: correct that where he went?

473
00:23:21,480 --> 00:23:23,560
Speaker 5: I don't know. I had the brad Lander.

474
00:23:24,119 --> 00:23:27,920
Speaker 3: Our friend Eli Klein on X pointed out that brad

475
00:23:28,000 --> 00:23:31,800
Speaker 3: Lander gave his bagel order as everything bagel, scallion cream, cheese,

476
00:23:31,800 --> 00:23:33,960
Speaker 3: sliced tomato, and locks and again, it doesn't matter what

477
00:23:34,040 --> 00:23:36,200
Speaker 3: you put on it, capers and blah blah blah, it

478
00:23:36,240 --> 00:23:41,400
Speaker 3: doesn't matter. But brad Lander then retweeted like somebody praising

479
00:23:41,400 --> 00:23:43,880
Speaker 3: his order and added lightly toasted.

480
00:23:43,920 --> 00:23:45,159
Speaker 4: It's like he has no principles.

481
00:23:45,160 --> 00:23:46,480
Speaker 5: This man stands for nothing.

482
00:23:47,680 --> 00:23:51,600
Speaker 3: Come on, right, it's it's it's just it's unacceptable.

483
00:23:52,200 --> 00:23:54,000
Speaker 1: Okay, So yes, okay, let me let me just call

484
00:23:54,080 --> 00:23:59,200
Speaker 1: him out. Yeah, the socialist is for toasted, Okay, the order.

485
00:23:59,240 --> 00:24:01,119
Speaker 1: As someone who grew up morning side heights, I have

486
00:24:01,160 --> 00:24:04,400
Speaker 1: to go back to absolute bagels, poppy seed bagel, scallion

487
00:24:04,400 --> 00:24:07,359
Speaker 1: cream cheese, some pulp tropic canna on the side, And

488
00:24:07,400 --> 00:24:09,119
Speaker 1: this is going to lose me some votes.

489
00:24:09,920 --> 00:24:12,000
Speaker 2: But to be honest with you, toasted.

490
00:24:11,920 --> 00:24:17,359
Speaker 3: Yeah, unacceptable, just really really not acceptable. So Ben points

491
00:24:17,400 --> 00:24:20,040
Speaker 3: out that bagel shops bake their own bagels fresh, no

492
00:24:20,119 --> 00:24:22,320
Speaker 3: reason to toast a bagel, And then he says, no

493
00:24:22,320 --> 00:24:24,680
Speaker 3: one is saying you shouldn't toast your piece of shit,

494
00:24:24,760 --> 00:24:27,200
Speaker 3: loser bagel that you bought from the supermarket and brought

495
00:24:27,240 --> 00:24:29,000
Speaker 3: back to your rat infested trailer.

496
00:24:30,080 --> 00:24:31,800
Speaker 5: I actually showed that to my daughter to.

497
00:24:31,800 --> 00:24:35,680
Speaker 3: Be like, you know, toasting bagels is unacceptable, yes, behavior okay.

498
00:24:35,680 --> 00:24:36,560
Speaker 5: He also made.

499
00:24:36,480 --> 00:24:40,199
Speaker 3: Fun of Zoran because he had the tropic canna on

500
00:24:40,280 --> 00:24:42,440
Speaker 3: the side. He was like, toasted poppy seed bagel with

501
00:24:42,480 --> 00:24:44,639
Speaker 3: a tropic canna on the side. Is he running to

502
00:24:44,640 --> 00:24:48,760
Speaker 3: be the mayor of Cincinnati Airport? Which it's pretty good, pretty.

503
00:24:48,440 --> 00:24:49,440
Speaker 2: Good, It's funny.

504
00:24:49,840 --> 00:24:54,080
Speaker 1: Do you remember notoriously Cynthia Nixon, the Sex and the

505
00:24:54,119 --> 00:24:58,879
Speaker 1: City actress. She had some weird She was a gubernatorial

506
00:24:59,119 --> 00:25:03,080
Speaker 1: candidate and her bagel order was this is horrific.

507
00:25:03,680 --> 00:25:06,959
Speaker 2: A cinnamon raisin bagel. Yeah, with locks and cabage.

508
00:25:07,840 --> 00:25:09,080
Speaker 8: How ow.

509
00:25:10,760 --> 00:25:14,200
Speaker 1: Like I'm for a sweet and savory in some capacities,

510
00:25:14,240 --> 00:25:15,400
Speaker 1: but not in that one.

511
00:25:15,600 --> 00:25:17,800
Speaker 4: No, No, that's super gross.

512
00:25:18,040 --> 00:25:21,840
Speaker 1: That's anyway, best of luck to everyone. Yeah, I do

513
00:25:21,920 --> 00:25:25,000
Speaker 1: not understand if you can get one fresh and hot

514
00:25:25,320 --> 00:25:26,320
Speaker 1: right in New York?

515
00:25:26,480 --> 00:25:28,440
Speaker 2: Why are you? That doesn't make any sense. Why would

516
00:25:28,440 --> 00:25:28,840
Speaker 2: you coast?

517
00:25:28,920 --> 00:25:31,080
Speaker 4: It makes no sense. That's absolutely right.

518
00:25:31,119 --> 00:25:33,600
Speaker 2: You're not for my land of trash bagels? Like, do

519
00:25:33,640 --> 00:25:34,000
Speaker 2: it right.

520
00:25:34,160 --> 00:25:36,040
Speaker 4: We're going to take a short break and come right

521
00:25:36,080 --> 00:25:37,000
Speaker 4: back with normally.

522
00:25:40,400 --> 00:25:43,840
Speaker 3: People have been having a good twenty four hours of

523
00:25:43,880 --> 00:25:47,120
Speaker 3: being nice and apologizing. Should we wrap up with something pleasure?

524
00:25:47,160 --> 00:25:50,879
Speaker 2: Yeah, let's do some some apologies. The apology tour, the

525
00:25:50,920 --> 00:25:53,680
Speaker 2: apology to very famous people.

526
00:25:53,760 --> 00:25:57,560
Speaker 1: It turns out that both Simone Biles and Elon Musk

527
00:25:57,560 --> 00:25:59,320
Speaker 1: have had a bit of a change of heart.

528
00:25:59,680 --> 00:26:05,600
Speaker 3: Yeah, Simone Biles, her apology was very.

529
00:26:06,160 --> 00:26:07,760
Speaker 2: Scripted, conluted.

530
00:26:08,200 --> 00:26:13,400
Speaker 3: Yes, I did not believe her, Like her post at

531
00:26:13,520 --> 00:26:16,640
Speaker 3: Riley was on a Saturday night, and you know, I guess.

532
00:26:16,400 --> 00:26:18,640
Speaker 4: A lot I and a lot of other people assumed

533
00:26:18,640 --> 00:26:19,199
Speaker 4: she had had a.

534
00:26:19,200 --> 00:26:24,080
Speaker 7: Couple of drinks aggressive, yes, yes, but this her apology

535
00:26:24,359 --> 00:26:28,360
Speaker 7: was just like the current system doesn't adequately balance these

536
00:26:28,400 --> 00:26:33,160
Speaker 7: important principles of you know, competitive equity and inclusivity, which often.

537
00:26:33,040 --> 00:26:35,840
Speaker 4: Leads to frustration and heated exchanges. And it didn't help

538
00:26:35,880 --> 00:26:38,760
Speaker 4: for me to get personal with Riley, which I apologize

539
00:26:38,760 --> 00:26:39,080
Speaker 4: for it.

540
00:26:39,200 --> 00:26:42,240
Speaker 5: Just like just say, you're sorry, what is this? What

541
00:26:42,400 --> 00:26:44,320
Speaker 5: is this like the way that.

542
00:26:44,320 --> 00:26:46,840
Speaker 4: I spoke, you know, it just it made no sense

543
00:26:46,880 --> 00:26:47,080
Speaker 4: to me.

544
00:26:47,160 --> 00:26:49,960
Speaker 2: And also it seems like forty eight hours after the thing.

545
00:26:50,080 --> 00:26:53,359
Speaker 1: It was like in not probably not that quite that much,

546
00:26:53,440 --> 00:26:56,879
Speaker 1: but it was the delay was large given how famous

547
00:26:56,920 --> 00:26:59,879
Speaker 1: she is and how quickly the news cycle moves. Nor

548
00:27:00,200 --> 00:27:01,840
Speaker 1: you want to do a clean up like this pretty

549
00:27:01,920 --> 00:27:05,479
Speaker 1: quickly afterwards, so that would have probably helped.

550
00:27:06,119 --> 00:27:07,040
Speaker 2: But I think.

551
00:27:07,040 --> 00:27:11,119
Speaker 3: Kiley is so just what a great person accepted the

552
00:27:11,160 --> 00:27:15,200
Speaker 3: apology said, you know, Simon is still the greatest gymnast

553
00:27:15,200 --> 00:27:17,160
Speaker 3: ever and accepts it.

554
00:27:17,359 --> 00:27:18,199
Speaker 4: I don't accept it.

555
00:27:21,040 --> 00:27:22,399
Speaker 5: I just I'm sorry.

556
00:27:22,480 --> 00:27:26,960
Speaker 3: I found the apology to be bake And I like,

557
00:27:27,280 --> 00:27:30,720
Speaker 3: if Simone Biles is promoting something I'm not in that.

558
00:27:30,960 --> 00:27:31,760
Speaker 4: She she lost me.

559
00:27:31,840 --> 00:27:34,879
Speaker 1: Yeah, I'm out on it too, Like she's she's without

560
00:27:35,040 --> 00:27:38,840
Speaker 1: dispute the goat when it comes to stymnastics. No one

561
00:27:38,840 --> 00:27:41,040
Speaker 1: can take that away from her. I'm not going to

562
00:27:41,080 --> 00:27:44,840
Speaker 1: be particularly wooed anymore by any of her pitches.

563
00:27:45,119 --> 00:27:47,720
Speaker 4: Yeah, yeah, that's it for that.

564
00:27:48,320 --> 00:27:52,600
Speaker 3: Elon Musk, However, his his his apology tweet was around

565
00:27:52,600 --> 00:27:56,400
Speaker 3: three in the morning, who.

566
00:27:56,200 --> 00:27:58,760
Speaker 1: By the way, definitely does not have crisis pr That

567
00:27:58,800 --> 00:27:59,920
Speaker 1: guy no no.

568
00:28:00,359 --> 00:28:03,719
Speaker 3: Is helping him craft any of this, He tweets, I

569
00:28:03,760 --> 00:28:07,040
Speaker 3: regret some of my posts about President Donald Trump last week.

570
00:28:07,200 --> 00:28:08,080
Speaker 4: They went too far.

571
00:28:08,840 --> 00:28:12,400
Speaker 3: Again, it's not an effusive apology, but I believe him.

572
00:28:12,680 --> 00:28:13,640
Speaker 5: Again at three in the.

573
00:28:13,560 --> 00:28:17,280
Speaker 3: Morning apology that's not four hundred words, I feel like

574
00:28:17,359 --> 00:28:18,439
Speaker 3: he really means it.

575
00:28:19,880 --> 00:28:21,919
Speaker 4: Will they be bros?

576
00:28:21,960 --> 00:28:22,240
Speaker 3: Again?

577
00:28:22,480 --> 00:28:23,919
Speaker 4: I'm not so sure.

578
00:28:24,880 --> 00:28:25,160
Speaker 8: Well.

579
00:28:25,400 --> 00:28:28,480
Speaker 1: For his part, Trump responded and as he has done

580
00:28:28,560 --> 00:28:32,879
Speaker 1: throughout this pretty in a pretty measured manner, right, he

581
00:28:32,960 --> 00:28:35,640
Speaker 1: said to He talked to New York Post and said,

582
00:28:35,720 --> 00:28:37,320
Speaker 1: I thought it was very nice that he did that.

583
00:28:38,040 --> 00:28:39,800
Speaker 5: Yeah, I didn't fight like that.

584
00:28:39,920 --> 00:28:42,080
Speaker 1: Yeah, he didn't say whether he was willing to let

585
00:28:42,080 --> 00:28:47,280
Speaker 1: bygones be bygones with Tesla and SpaceX and Muskin general.

586
00:28:48,160 --> 00:28:52,960
Speaker 1: But you know, like Trump is so such an interesting

587
00:28:53,080 --> 00:28:55,480
Speaker 1: character because sometimes you want to say like, oh yeah,

588
00:28:55,520 --> 00:28:57,000
Speaker 1: like this guy's burned forever.

589
00:28:57,440 --> 00:28:58,120
Speaker 2: There's no way you.

590
00:28:58,120 --> 00:29:01,600
Speaker 1: Can come back from this with Trump. That's not It's

591
00:29:01,680 --> 00:29:06,800
Speaker 1: not often or even often how Trump operates like you

592
00:29:06,840 --> 00:29:09,120
Speaker 1: come and say the right thing, right, and he's gonna

593
00:29:09,160 --> 00:29:10,480
Speaker 1: be like okay, right.

594
00:29:10,760 --> 00:29:11,480
Speaker 5: Yeah. Absolutely.

595
00:29:11,520 --> 00:29:13,120
Speaker 3: I can think of a lot of examples of that,

596
00:29:13,240 --> 00:29:16,120
Speaker 3: including his vice president. J. D. Vance said some terrible

597
00:29:16,160 --> 00:29:19,160
Speaker 3: things about Donald Trump. Marco Rubio said some terrible things.

598
00:29:19,840 --> 00:29:22,000
Speaker 3: He's golfed with Ron DeSantis.

599
00:29:22,040 --> 00:29:23,920
Speaker 5: I mean there he makes.

600
00:29:23,800 --> 00:29:24,959
Speaker 4: Up, he kisses and make up.

601
00:29:25,040 --> 00:29:29,400
Speaker 3: But this one, I thought maybe not just because they

602
00:29:29,440 --> 00:29:31,960
Speaker 3: were really close, and I you know, it remains to

603
00:29:32,000 --> 00:29:35,520
Speaker 3: be seen. Maybe Trump really has mellowed and he can forgive.

604
00:29:35,880 --> 00:29:39,200
Speaker 3: But it seemed like they were like friends, not just

605
00:29:39,760 --> 00:29:40,360
Speaker 3: It seems.

606
00:29:40,160 --> 00:29:41,760
Speaker 2: Like an affectionate relationship.

607
00:29:41,920 --> 00:29:44,880
Speaker 3: Trump was hanging out with his son, like with Elon's son,

608
00:29:44,960 --> 00:29:46,920
Speaker 3: more than he was hanging out like with his own kids.

609
00:29:47,080 --> 00:29:50,080
Speaker 4: So yeah, I don't know.

610
00:29:50,160 --> 00:29:52,720
Speaker 3: I hope that those two crazy kids find a way

611
00:29:52,760 --> 00:29:53,400
Speaker 3: to make it work.

612
00:29:53,440 --> 00:29:56,720
Speaker 4: It was it was nice, nice when they were friends.

613
00:29:56,960 --> 00:30:01,120
Speaker 4: It was well, thanks for joining us on normal normally.

614
00:30:00,760 --> 00:30:02,400
Speaker 5: Airs Tuesdays and Thursdays, and you.

615
00:30:02,400 --> 00:30:05,000
Speaker 4: Can subscribe anywhere you get your podcasts.

616
00:30:05,040 --> 00:30:08,560
Speaker 3: Get in touch with us at normallythepod at gmail dot com.

617
00:30:08,560 --> 00:30:11,560
Speaker 4: Thanks for listening, and when things get weird, act normally