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Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics,

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Speaker 1: where we discussed the top political headlines with some of

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Speaker 1: today's best minds.

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Speaker 2: And President Biden called Donald Trump's Madison Square Garden rally

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Speaker 2: simply embarrassing.

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Speaker 3: Pretty good assessment.

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Speaker 2: We have such a great show for you today, Talking

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Speaker 2: points memos. Josh Marshall stops by to parse why Trump's

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Speaker 2: Madison Square Garden rally was so insane.

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Speaker 3: Then we'll talk to.

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Speaker 2: CNN political analyst and writer for The Atlantic Ron Brownstein

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Speaker 2: about what he is seeing in early voting. But first,

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Speaker 2: the news, a lot of news.

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Speaker 4: So Molly, what was miss during the Trump rally at

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Speaker 4: MSG was actually really important was a CNN interview with

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Speaker 4: Tom Holman, who you and I covered in our Project

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Speaker 4: twenty twenty five documentary for being one of the architects

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Speaker 4: of the immigration policy in the next Trump administration if

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Speaker 4: they get in.

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Speaker 2: He is the former Ice head and this is his

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Speaker 2: plan for mass deportation of a documented immigrants. And let

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Speaker 2: me just say, it's not like he hid this. He

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Speaker 2: went and said this on sixty eight minutes.

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Speaker 5: Why should a child who is an American citizen have

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Speaker 5: to pack up and move to a country that.

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Speaker 6: They don't know because their parent absolutely into the country

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Speaker 6: illegally had a child knowing he was in the country legally.

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Speaker 6: So he created that crisis.

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Speaker 5: While Homan ran ice.

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Speaker 3: In what became one of the most controversial policies of

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Speaker 3: the Trump administration, at least five thousand migrant children were forcibly.

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Speaker 5: Separated from their parents.

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Speaker 3: Who were prosecuted for crossing the border illegally.

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Speaker 5: You've been called the.

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Speaker 7: Father of Trump's family separation policy.

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Speaker 3: How does that sit with you?

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Speaker 6: It's not true. I didn't write the memory of a

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Speaker 6: separate families. I signed a memo. Why did I sign, am?

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Speaker 6: I was hoping to save lives? Why you and I

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Speaker 6: are talking right now? Child's going to die on the

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Speaker 6: board it so we thought, maybe we prosecute people, they'll

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Speaker 6: stop coming.

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Speaker 5: Maybe and if Trump wins the second term.

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Speaker 6: I don't know of any formal policy, but they're talking

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Speaker 6: about family separations.

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Speaker 7: Should it be on the table I.

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Speaker 6: Think needs to be considered.

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Speaker 5: Absolutely so.

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Speaker 2: Anyway, the point is they're planning mass deportation, and we

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Speaker 2: know this because they're telling us on sixty minutes.

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Speaker 4: I mean, I think it's very jarring that he's basically

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Speaker 4: saying that it doesn't matter if a member or your

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Speaker 4: family's here a legal or not, that they're just going

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Speaker 4: to rip you apart. And I want to make a

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Speaker 4: point too that you know, Trump has said that he

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Speaker 4: doesn't know these Project twenty twenty five people. He's repeatedly

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Speaker 4: on video said I'm hiring this guy to do this,

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Speaker 4: So there's no wiggling around this bullshit.

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Speaker 2: I mean, he worked in the Trump admin and he

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Speaker 2: worked on Project twenty twenty five, and he's planning to

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Speaker 2: deport But I think the scariest part of all of

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Speaker 2: this is they're deporting boas documented and under documented immigrants.

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Speaker 2: So this will mean that if you have a family,

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Speaker 2: and we saw a lot of reporting about this, most

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Speaker 2: families you'll have one illegal member of the family. Well

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Speaker 2: now it will be that everyone else in the family

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Speaker 2: will get deported.

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Speaker 4: So Molly jd Vance, you know, Charisma King, here's some

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Speaker 4: thoughts about how people should feel about the remark from

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Speaker 4: Tony Hinchcliff at the Garden saying that Puerto Rico is

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Speaker 4: a floating island of garbage.

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Speaker 2: So I just want to pause for a second and

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Speaker 2: talk about this for one more second. So Republicans from

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Speaker 2: Florida and from a lot of states to the Puerto

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Speaker 2: Ricans are freaking out right. There are half a million

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Speaker 2: Puerto Ricans in Pennsylvania, the must win state of Pennsylvania,

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Speaker 2: so they are all freaking out. Okay, now listen to

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Speaker 2: jd Vance's very sensitive response to Puerto Rican people being

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Speaker 2: offended by having their island be called a pile of garbage.

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Speaker 8: I've heard about the joke.

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Speaker 9: I haven't actually seen the joke that you mentioned, but

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Speaker 9: I think that it's telling that Kamala Harris's closing message

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Speaker 9: is essentially that all of Donald Trump's voters are Nazis,

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Speaker 9: and you should get really pissed off about a comedian

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Speaker 9: telling a joke that is not the message of a

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Speaker 9: winning campaign, and most importantly, it's not the message of

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Speaker 9: a person who's fit to be the president of the

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Speaker 9: United States of America. And my own view on this is,

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Speaker 9: look again, I haven't seen the joke. You know, maybe

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Speaker 9: it's a stupid racist shoke, as you said, maybe it's not.

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Speaker 5: I haven't seen it.

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Speaker 9: I'm not going to comment on the specifics of the joke,

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Speaker 9: but I think that we have to stop getting so

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Speaker 9: offended at every little thing in the United States of America.

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Speaker 5: I'm just I'm so over it.

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Speaker 3: Yeah.

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Speaker 2: So if you're bad Bunny or j Loo and you're

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Speaker 2: offended by the fact that the comedian a Donald Trump

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Speaker 2: Broop's rally called Puerto Rico a pile of garbage, well

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Speaker 2: Evans has a message for you.

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Speaker 3: Get over it.

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Speaker 4: Yeah, we should say Trump only won Pennsylvania by point

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Speaker 4: seventy two percent and Biden won by one point seven percent,

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Speaker 4: but Puerto Ricans in Pennsylvania are three point eight percent

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Speaker 4: of the population, so a lot of movement could happen there.

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Speaker 7: Yeah.

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Speaker 2: And also everyone is in damage control about this comment

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Speaker 2: except Jade Evans, who was telling them to get over

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Speaker 2: it because they are being two pc and sensitive when

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Speaker 2: they're offended that their island was maligned by a racist.

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Speaker 2: I mean, I think we should just say that fifty

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Speaker 2: cent the performer was offered three million dollars to perform

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Speaker 2: at Donald Trump's rally, and he said, no, three million

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Speaker 2: dollars a lot of money. It's a lot of money,

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Speaker 2: and it shows how toxic the Trump rallies are because

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Speaker 2: he was he was offered three million dollars to perform

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Speaker 2: at the Madison Square of Bardon rally and he said no,

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Speaker 2: which good on him, and then also good on you know.

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Speaker 2: We've been waiting to see if George W. Bush will

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Speaker 2: endorse Harris, but we have seen that his daughter Barbara

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Speaker 2: is actually canvassing for Harris. Another thing that is really

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Speaker 2: shows just how unusual the Trump election is that the

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Speaker 2: fact that pretty much both on the left and the

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Speaker 2: right have aligned to support Harris.

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Speaker 4: Somali in both Washington and Oregon. Drop boxes we're set

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Speaker 4: on fire and Phoenix police have the suspected custody. What

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Speaker 4: are you seeing here?

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Speaker 2: This has happened in a couple states, someone who's unhinged

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Speaker 2: setting fire to drop boxes. We're seeing a lot of this,

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Speaker 2: and look, we're of course we're seeing this. Donald Trump

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Speaker 2: is encouraging it. Here's a guy who's setting fire to

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Speaker 2: drop boxes in Arizona, but we saw somebody doing it

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Speaker 2: in Washington State, and I'm sure we'll see more of it.

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Speaker 2: And that's why we all have to be super vigilant

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Speaker 2: and careful. It's really just exactly what we don't want.

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Speaker 2: It's exactly what has not happened, and it's the kind

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Speaker 2: of thing that only happens once Donald Trump, you know,

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Speaker 2: Donald Trump is encouraged his kind of behavior, so none

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Speaker 2: of us should be surprised.

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Speaker 4: Somali. Mister Trump a man who's known for reading the

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Speaker 4: room really well. He said the massive Square Garden rally

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Speaker 4: was a LoveFest.

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Speaker 2: Funny because you'll remember he said that the January sixth

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Speaker 2: insurrection was a love fest. They love him, right, Donald

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Speaker 2: Trump calls it a love fest when his people do

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Speaker 2: stuff to protect or to elevate him, or to storm

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Speaker 2: the capitol. That is Donald Trump's idea of a love fest,

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Speaker 2: but it is no one else's idea of a love fest.

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Speaker 4: Yeah, one might think he's only concerned with the reaction

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Speaker 4: towards him when they were clapping for him, so he saw.

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Speaker 5: It as good enough.

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Speaker 2: Right. But you know, he did do this press or

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Speaker 2: at mar Lago today as a way of trying to,

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Speaker 2: I think, enact a little damage control after the Sunday

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Speaker 2: Madison Square Garden rally went so off the rails.

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Speaker 3: And I think.

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Speaker 2: That that question where he said it was a love fest,

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Speaker 2: that's another really good example of how Trump is sort

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Speaker 2: of unable to help himself. Like this smart answer there

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Speaker 2: would have been like there were some thing's got out

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Speaker 2: of hand, but we love the people of Puerto Rico,

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Speaker 2: and we know that they're Americans just like everyone else.

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Speaker 2: But instead he just was like there were no bad jokes.

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Speaker 2: It was a love fest. So I do think like

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Speaker 2: this between him and JD. Vans, they really have handled

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Speaker 2: this just about as poorly as anyone could handle it.

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Speaker 2: And it's hard for me to imagine being a Puerto

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Speaker 2: Rican American and not feeling like these people do not

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Speaker 2: have my best interests in that sounds right, which of

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Speaker 2: course they don't. Josh Marshall is the editor of Talking

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Speaker 2: Points Memo. Welcome back to the Fast Politics Josh Marshall.

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Speaker 5: Thanks for having me again.

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Speaker 3: Here we are six days from.

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Speaker 2: The election that will side whether or not we have

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Speaker 2: elections anymore discussed.

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Speaker 10: I was telling someone I have been trying to embrace

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Speaker 10: the uncertainty because I think that's where we are right,

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Speaker 10: it's uncertain. I wrote a piece that there's a difference

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Speaker 10: between the closest election ever and the most uncertain election ever,

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Speaker 10: and I'm not sure it's that close.

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Speaker 3: Well, we don't know. I think that's a really good point.

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Speaker 10: Yeah, it's high uncertainty, and look at a certain level,

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Speaker 10: if it's super close, it's very uncertain. That's kind of

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Speaker 10: you know, that's kind of the way it works. But

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Speaker 10: I do think and every election, every high stakes election,

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Speaker 10: contains a lot of uncertainty. But I do think that

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Speaker 10: there are factors that make this one more uncertain, more

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Speaker 10: possibilities than usual, and a lot of those have to

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Speaker 10: do with polling, with trying to understand what happened in

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Speaker 10: the sort of the mechanics of the twenty twenty election,

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Speaker 10: in terms of the COVID pandemic, changes in polls.

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Speaker 5: All this kind of stuff.

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Speaker 10: When we look at these polls that I think, as

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Speaker 10: we all know basic say, it is like literally tied

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Speaker 10: to the extent that things can be tied. There's a

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Speaker 10: lot of assumptions that go into those polls. That's always

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Speaker 10: the case with polls, but there's probably even more this time.

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Speaker 10: People have had to make assumptions about what the electorate

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Speaker 10: looks like and stuff like that, and those could be mistaken,

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Speaker 10: and those could end up giving us a result that

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Speaker 10: swings a few points in either direction, and obviously, in

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Speaker 10: our day and age, a few points is like you know,

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Speaker 10: a landslide.

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Speaker 5: There's a lot of uncertainty, are real uncertainty.

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Speaker 3: Right, And I think what's really.

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Speaker 2: Important here when we talk about this is that Trump

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Speaker 2: historically gets at an electorate that is a non voting electorate,

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Speaker 2: and that's why he won in twenty sixteen. He was

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Speaker 2: able to re summons those people in twenty twenty, though

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Speaker 2: he didn't win. And now you know, it's almost a

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Speaker 2: decade later, we are all fucking tired.

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Speaker 3: The man is still running.

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Speaker 2: And again the strat is is still the same, double

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Speaker 2: down on the really offensive staff and hope that the

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Speaker 2: low propensity ones and twos come.

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Speaker 10: Out, right, Yeah, for better or worse, we know at

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Speaker 10: many levels, you know, Donald Trump calls the shots. That's

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Speaker 10: what the people who love him love about him. I

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Speaker 10: think that is real about his campaigns, right. And one

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Speaker 10: of the things that you know, it's been a lot

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Speaker 10: of talk for the last year that he finally has

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Speaker 10: Chris Lasovita and Susie Wiles and there you know, they

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Speaker 10: have figured out how to tame him, not tame him

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Speaker 10: from being fairal and crazy, but make him seem normal, yes,

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Speaker 10: to run a real campaign. I think what we have

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Speaker 10: seen in these final weeks is that he's running a

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Speaker 10: He's running a Trump campaign there too, but he's going

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Speaker 10: to double down. He's not a reach out kind of person.

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Speaker 10: He's a double down kind of person. And he's going

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Speaker 10: to try to get hold of his people and get

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Speaker 10: hold of his people who maybe are ready to be

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Speaker 10: his people, but weren't his people yet. You know, this

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Speaker 10: whole idea that you know, there are people out there

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Speaker 10: who love Trump but they've just never voted before, and

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Speaker 10: get them to vote. There's you know, there's more people

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Speaker 10: he does that. He wants to, you know, demoralize the opposition.

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Speaker 10: A lot of head faking and stuff like that. So

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Speaker 10: it's he's a double down kind of guy.

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Speaker 2: Right, So Sunday he had this Madison Square Garden rally.

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Speaker 2: This is part of these weird rallies he's doing, like

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Speaker 2: the one he did in California. He had one in Coulchella, right,

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Speaker 2: Couldchella Valley, This one where all these people got stranded.

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Speaker 2: He had another one in another blue state. And the

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Speaker 2: idea here is that they are control fundraising and they

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Speaker 2: create this atmosphere of winning. But this one athlete spare

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Speaker 2: of Puerto Ricans endorsing Kama Harris, including Bad Bunny, j

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Speaker 2: Lo and Ricky Martin discuss.

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Speaker 10: Yeah, it's you know, it's hard, always hard to know,

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Speaker 10: you know, what celebrity endorsements mean. I mean, I would

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Speaker 10: have been a little surprised if Jlo endorsed Trump. So

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Speaker 10: you know, if you had told me she endorsed Harris

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Speaker 10: six months ago, I would have been utterly unsurprised. But

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Speaker 10: I do think this has broken through in a significant way.

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Speaker 10: I think it's clearly broken through with people in the

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Speaker 10: Puerto Rican community, which a lot of people think, ah,

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Speaker 10: in New York, Puerto Ricans who live in New York. Obviously,

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Speaker 10: lots of Puerto Rican Americans. I mean, there's no such

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Speaker 10: thing as a Puerto Rican American. Pert Ricans are Americans

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Speaker 10: part of the United States. Many live in Florida. A

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Speaker 10: significant number live in Pennsylvania.

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Speaker 3: So half a million.

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Speaker 2: Did you know half a million Puerto Ricans lived in Pennsylvania.

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Speaker 3: I did not.

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Speaker 5: I did not.

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Speaker 10: I don't know how much that's concentrated in the eastern

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Speaker 10: part of the state or Pittsburgh or just kind of everywhere.

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Speaker 10: Doesn't matter though, right, yeah, exactly, it doesn't matter for

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Speaker 10: these purposes. I do think that that is the most

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Speaker 10: kind of eye popping remark. There's a lot, a lot

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Speaker 10: of things this guy said, everybody knew going in this

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Speaker 10: is going to you know, they're setting themselves up for

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Speaker 10: sort of a replay of the first go around in

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Speaker 10: nineteen thirty nine.

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Speaker 5: Right, what they did is sort of a Nazi rally.

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Speaker 3: The German American booned yet booned.

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Speaker 10: Yes, yes, I think the whole thing has kind of

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Speaker 10: broken through a bit, just in the sense that it's

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Speaker 10: not a shock to anybody that there are a lot

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Speaker 10: of like racists and weird people around Donald Trump, but

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Speaker 10: from the perspective of the Trump campaign that you don't

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Speaker 10: want that to be your closing argument, right, like, we're

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Speaker 10: super racist. And I think this could have some impact

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Speaker 10: on the results of the election because it's you know,

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Speaker 10: because it seems to be very close, and you know,

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Speaker 10: there's a lot of other things that this and other

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Speaker 10: people there said. It's just everything works best for Trump

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Speaker 10: when they keep the sort of you know, the really

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Speaker 10: fairal degenerates kind of in the back room, you know,

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Speaker 10: with a with a direct lawn to the base. But

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Speaker 10: when you bring them out in front of normal people,

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Speaker 10: things get a little shaky. And it wasn't a great

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Speaker 10: time to bring them out in front of normal people.

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Speaker 2: Yeah, and It's funny because it's like Elon has devoted

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Speaker 2: himself to helping the Trump campaign in any way possible.

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Speaker 2: You could make the supposition that this might be connected

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Speaker 2: to this recent reporting from the Wall Street Journal, which

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Speaker 2: on the news side does amazing stuff and has all

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Speaker 2: this reporting about how Elon has talked to Vladimir Putin

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Speaker 2: more than once, right, which technically is someone who sits

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Speaker 2: on a pile of government contract and has very high

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Speaker 2: security clears is pretty problematic.

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Speaker 3: So you could see where he might have some motivation there.

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Speaker 2: But he does seem and he didn't maybe seem this

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Speaker 2: way as much four years ago. He does seem to

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Speaker 2: be one of that crowd of this sort of deep

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Speaker 2: and dark white national I mean, you know, I won't

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Speaker 2: say he's a white nationalist, but he certainly does not

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Speaker 2: seem uncomfortable with Stephen Miller.

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Speaker 5: Yeah.

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Speaker 10: I mean, he may not be, but all his friends are, right.

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Speaker 10: I mean, you know, maybe in a way it doesn't matter.

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Speaker 10: It's what he says and his friends and who he

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Speaker 10: gives money to and all that kind of stuff. I mean,

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Speaker 10: I think that Elon Musk in general is kind of

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Speaker 10: overdetermined in the sense that he's just a weird on

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Speaker 10: several levels, guy who's very impulsive, who clearly has some

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Speaker 10: issues in his personal life that have driven some of this.

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Speaker 10: And I get the sense that he's just you know,

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Speaker 10: sometimes people get really into bling, that's their new thing,

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Speaker 10: and fascism is Elon's new bling, and he's really into

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Speaker 10: it right now. And it wouldn't one hundred percent surprise

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Speaker 10: me if it was something he wasn't as into in

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Speaker 10: a few years. And again, I'm not like excusing him.

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Speaker 10: He's just an impulsive, weird person and he's fixated on this.

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Speaker 2: It seems like a celebrity who's got you know, who

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Speaker 2: has got a cause that they're sort of interested in

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Speaker 2: but might not be interested in a couple of years.

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Speaker 2: I mean, I think it's the capricious nature I've been

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Speaker 2: so struck by as someone who you know, grew up with,

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Speaker 2: you know, not so famous, but a little famous people

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Speaker 2: and also a lot of people who had some money.

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Speaker 2: Was that what this election shows so deeply is that

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Speaker 2: the corrosive facts that wealth and power have on the

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Speaker 2: human soul. I mean, I am just stopped by the

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Speaker 2: people who come out and you know, they really are

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Speaker 2: their tax bracket. Trump ists. Right, they may or may

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Speaker 2: not believe, but maybe they believe that, maybe they don't.

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Speaker 2: Who cares again, but they have you know, decided that

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Speaker 2: the tax brackets, may you know, to pay less taxes,

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Speaker 2: they will go along with white nationalism and possibly the

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Speaker 2: end of democracy.

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Speaker 10: In some ways, it is a very much a thing

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Speaker 10: for a certain kind of liberal to think, like, well,

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Speaker 10: is he actually white nationalists? Is actually this? Do they

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Speaker 10: really believe this? As is often the case in life,

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Speaker 10: it doesn't really matter what you believe, it's what you do.

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Speaker 10: And clearly these are people who, you know, if someone

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Speaker 10: came up to me and said, Hey, we're going to

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Speaker 10: go watch alligators have sex and then we're going to

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Speaker 10: cut their heads off and put their heads onto our

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Speaker 10: heads and dance around in the blood, I would say

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Speaker 10: that's so weird. I no matter how cool you are,

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Speaker 10: I can't. That's too weird for me. And you have

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Speaker 10: these people who it's not too weird for them.

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Speaker 3: I'm going to do this annoying thing and bring up

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Speaker 3: a tweet.

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Speaker 1: I hate it when people interview me and bring up

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Speaker 1: a tweet, But this I think is relevant because I

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Speaker 1: think it's a really important idea.

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Speaker 2: I'm going to read the tweet as very annoying. But

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Speaker 2: this is who Trump is, and this is what Trump

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Speaker 2: is them is.

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Speaker 3: But there's a.

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Speaker 2: Part of this that isn't widely known and this is

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Speaker 2: absolutely one hundred percent sure to a lot of reporters,

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Speaker 2: and that is that there are a lot of these

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Speaker 2: pop operatives I'm now you know, speaking stemborraneously and staffers

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Speaker 2: under thirty who are in fact to come from for

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Speaker 2: fin So explain that to our listeners and maybe with

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Speaker 2: a little more clarity.

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Speaker 10: So, oh right, So there's a series of online communities

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Speaker 10: that go back a number of years, and there places

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Speaker 10: where the in cells hang out and the white nationalists

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Speaker 10: hang out, and a lot of you know, hardcore racist,

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Speaker 10: far right things are just part of the vernacular and

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Speaker 10: that's that kind of world. And so they are online

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Speaker 10: spaces that have that four chan is one of them.

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Speaker 10: There's eight chan. There are used to be certain subreddits.

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Speaker 10: There's you know, just all these kind of places out there,

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Speaker 10: and there is a whole cadre of young Republican operatives

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Speaker 10: and staffers who not only have spent time there, but

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Speaker 10: in so many of the cases being there in the

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Speaker 10: sort of post game or gate that whole kind of world.

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Speaker 10: That's where they decided they were Republicans, or they decided

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Speaker 10: they were far right. The point is that that was

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Speaker 10: where they had their political awakenings. Basically, this isn't surprising necessarily,

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Speaker 10: but this kind of got on my radar because, you know,

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Speaker 10: I am in charge of this news publication and I'm

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Speaker 10: almost never the reporter. I'm seldom the immediate editor. But

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Speaker 10: in our big stories, I'll get brought in just to

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Speaker 10: kind of kick the tires and whatever. And in story

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Speaker 10: after story, sort of like, okay, the person who got

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Speaker 10: who's getting in trouble for their you know, for their

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Speaker 10: old tweets. Maybe maybe that person came from four chan,

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Speaker 10: but okay, turns out his boss started at four chan

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Speaker 10: two and like and and okay, here's the here's the

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Speaker 10: guy who is not as bad and he was.

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Speaker 5: A source for us. Wow, he's also from four chan.

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Speaker 5: Like wait, what's going on here?

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Speaker 10: And this would just keep happening again and again and

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Speaker 10: again and I and I realized that it was pervasive,

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Speaker 10: and not only in sort of like you know, the

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Speaker 10: you know, there's always like maybe a dozen members of

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Speaker 10: the House GOP Caucus are the ones who are constantly

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Speaker 10: getting in trouble, not just those people staffers for relatively

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Speaker 10: normal Republicans, you know. Also, and I think a lot

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Speaker 10: of people remember that during DeSantis's primary campaign, there were

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Speaker 10: a few times where his campaign would drop these these

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Speaker 10: you know, kind of viral videos and they had, you

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Speaker 10: know a lot of kind of like muscle bound dudes

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Speaker 10: in like swim trunks and.

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Speaker 5: A lot of stuff that.

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Speaker 10: To people outside of that world look pretty home erotic

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Speaker 10: and just a lot of kind of crazy stuff. And

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Speaker 10: this background of mine being somewhat involved in a lot

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Speaker 10: of our investigative stories, I got it immediately because I

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Speaker 10: know that like half the people, half the guys under

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Speaker 10: thirty on his campaign, they started out like on four

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Speaker 10: Chan and then like in cell message board, and that's

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Speaker 10: how they communicate. And it's only when you sort of,

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Speaker 10: you know, when a campaign drops that and everybody's sees it, like, dude,

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Speaker 10: what what is what did I just see? What did

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Speaker 10: I just see? So that's it's that whole thing. It's

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Speaker 10: very real and something that occurred to me a couple

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Speaker 10: days ago. It used to be that you scratch any

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Speaker 10: democratic campaign and either the candidate or the top people

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Speaker 10: they first met on the McGovern campaign. I mean, I'm

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Speaker 10: dating myself here a bit, but you know, back in

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Speaker 10: the nineties, the odds okay, and a decade from now

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Speaker 10: it's going to in Republican campaigns fortune it's going to

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Speaker 10: be oh yeah, yeah. We first worked together at four chan.

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Speaker 10: We first created a dank meme at four chan.

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Speaker 2: I wanted just interject for a minute because I think

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Speaker 2: this an important point that relates, which is JD. Bans

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Speaker 2: comes from that world, probably more so even than Ronda Sandis.

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Speaker 2: But what I think about I think about this a

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Speaker 2: lot because I saw him in that vice presidential debate,

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Speaker 2: which he did do better than Trim in that debate.

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Speaker 2: He is actually wildly unpopular. His favorability ratings are lower

440
00:23:06,680 --> 00:23:09,960
Speaker 2: than Donald Trump's. He struggles with really the same problem

441
00:23:09,960 --> 00:23:14,320
Speaker 2: that DeSantis does. Trump isn't without Trump brought to you

442
00:23:14,400 --> 00:23:18,639
Speaker 2: by someone who has the charisma of a you know,

443
00:23:18,880 --> 00:23:22,320
Speaker 2: of flat eyed Coke is not a winning message, right, Like.

444
00:23:22,400 --> 00:23:24,560
Speaker 2: Part of why Trump is able to get away with

445
00:23:24,560 --> 00:23:27,040
Speaker 2: this stuff is he was a celebrity for many years.

446
00:23:27,359 --> 00:23:31,119
Speaker 2: He makes it seem funny and not scary, you know,

447
00:23:31,200 --> 00:23:34,920
Speaker 2: whereas Jadie Vance. I mean, for example, the joke the

448
00:23:35,040 --> 00:23:39,240
Speaker 2: floating pile of garbage joke that we heard on Sunday.

449
00:23:39,440 --> 00:23:41,920
Speaker 2: Jad Vance said, why I didn't see it right, which

450
00:23:41,960 --> 00:23:44,840
Speaker 2: of course is ridiculous, and then he said, we should

451
00:23:44,880 --> 00:23:48,359
Speaker 2: be less offended by things. You know, this is obviously

452
00:23:48,600 --> 00:23:52,080
Speaker 2: well and like you tell that to these groups of

453
00:23:52,359 --> 00:23:55,280
Speaker 2: Puerto Ricans who are offended by having their country be

454
00:23:55,359 --> 00:23:58,800
Speaker 2: called garbage, that they should lighten up. I mean, like,

455
00:23:59,000 --> 00:24:00,879
Speaker 2: I don't think that's a wins.

456
00:24:01,280 --> 00:24:04,119
Speaker 10: No, it's not a winning message. And I have to

457
00:24:04,119 --> 00:24:08,879
Speaker 10: imagine that a lot of Democrats or Democratic operatives would say, like, Okay, cool,

458
00:24:08,960 --> 00:24:11,879
Speaker 10: we'll put together a commercial for it, a commercial based

459
00:24:11,920 --> 00:24:13,639
Speaker 10: on it. You dudes can run it, you can have

460
00:24:13,680 --> 00:24:15,280
Speaker 10: the copyright, let's get it everywhere.

461
00:24:15,400 --> 00:24:16,520
Speaker 5: I don't even think it's cynical.

462
00:24:16,640 --> 00:24:20,879
Speaker 10: A lot of Democrats are like, they are not upset.

463
00:24:21,280 --> 00:24:23,880
Speaker 10: They're like, hey, thanks for taking the mask off. It's

464
00:24:23,960 --> 00:24:24,800
Speaker 10: just the right time.

465
00:24:25,000 --> 00:24:27,159
Speaker 2: Let's let every you know, I mean, a week before

466
00:24:27,200 --> 00:24:28,840
Speaker 2: the election, it's a good time to do it.

467
00:24:29,040 --> 00:24:30,119
Speaker 5: Yeah, exactly.

468
00:24:30,160 --> 00:24:33,040
Speaker 10: And the thing is with Trump is that he's horrible,

469
00:24:33,240 --> 00:24:37,879
Speaker 10: but we don't understand him and cannot fight him effectively

470
00:24:37,960 --> 00:24:41,080
Speaker 10: if we don't understand he has a real charisma. It

471
00:24:41,119 --> 00:24:43,159
Speaker 10: may not be your kind of not you, Molly, but

472
00:24:43,359 --> 00:24:47,040
Speaker 10: you know, everybody's charisma. But that is what allows him to,

473
00:24:47,840 --> 00:24:50,840
Speaker 10: you know, kind of do these things and to an extent,

474
00:24:51,000 --> 00:24:53,159
Speaker 10: get away with them. And whereas you have someone like

475
00:24:53,240 --> 00:24:56,560
Speaker 10: JD Vance he says something, Oh yeah, kind of like

476
00:24:56,760 --> 00:25:00,720
Speaker 10: angry lonely cat ladies and just he he'll say something

477
00:25:00,760 --> 00:25:01,879
Speaker 10: and everything's just silent.

478
00:25:01,960 --> 00:25:04,760
Speaker 5: Everybody's like ooh, like no one likes you JD.

479
00:25:05,359 --> 00:25:08,760
Speaker 1: Yeah, No, I think that's right. We're in the home

480
00:25:08,880 --> 00:25:12,359
Speaker 1: stretch of whatever this is. But it does certainly seem

481
00:25:12,800 --> 00:25:16,000
Speaker 1: like a really important data play. Thank you, Josh Marshall.

482
00:25:16,320 --> 00:25:17,800
Speaker 5: All right, talk to you later.

483
00:25:18,560 --> 00:25:19,920
Speaker 7: Are you concerned.

484
00:25:19,440 --> 00:25:22,600
Speaker 1: About Project twenty twenty five and how awful Trump's second

485
00:25:22,680 --> 00:25:25,880
Speaker 1: term could be? Well, so are we, which is why

486
00:25:25,920 --> 00:25:28,680
Speaker 1: we teamed up with iHeart to make a limited series

487
00:25:28,760 --> 00:25:32,760
Speaker 1: with the experts on what a disaster Project twenty twenty

488
00:25:32,760 --> 00:25:35,760
Speaker 1: five would be for America's future. Right now, we have

489
00:25:36,080 --> 00:25:39,920
Speaker 1: just released the final episode of this five episode series.

490
00:25:40,040 --> 00:25:44,000
Speaker 1: They're all available by looking up Molly Jong Fast Project

491
00:25:44,000 --> 00:25:47,040
Speaker 1: twenty twenty five on YouTube, and if you are more

492
00:25:47,080 --> 00:25:50,840
Speaker 1: of a podcast person and not say a YouTuber, you

493
00:25:50,880 --> 00:25:53,320
Speaker 1: can hit play and put your phone in the lock

494
00:25:53,359 --> 00:25:55,280
Speaker 1: screen and it will play back just.

495
00:25:55,240 --> 00:25:56,120
Speaker 7: Like a podcast.

496
00:25:56,400 --> 00:25:59,720
Speaker 1: All five episodes are online. Now we need to educate

497
00:25:59,720 --> 00:26:02,879
Speaker 1: a Maria Workens on what Trump's second term would or

498
00:26:03,000 --> 00:26:04,360
Speaker 1: could do to this country.

499
00:26:04,480 --> 00:26:06,400
Speaker 7: So please watch it and spread the word.

500
00:26:08,880 --> 00:26:12,520
Speaker 2: Ron Brownstein is a senior political analyst for CNN and

501
00:26:12,640 --> 00:26:15,359
Speaker 2: a senior editor at The Atlantic.

502
00:26:16,240 --> 00:26:20,040
Speaker 1: Welcome back to Fast Politics, Ron Brownstein.

503
00:26:20,840 --> 00:26:22,960
Speaker 8: Ay, Molly, anything going on?

504
00:26:23,160 --> 00:26:25,960
Speaker 7: Nothing? Nothing? Not eight days until the election.

505
00:26:26,440 --> 00:26:26,760
Speaker 2: Yeah.

506
00:26:26,920 --> 00:26:29,560
Speaker 1: So one of the many, many things I like about you,

507
00:26:29,880 --> 00:26:33,879
Speaker 1: besides the fact that you're so smart and so sane,

508
00:26:34,320 --> 00:26:37,040
Speaker 1: is that you also have been doing this for a

509
00:26:37,080 --> 00:26:40,760
Speaker 1: fairly long time, so you really know what this should

510
00:26:40,800 --> 00:26:41,240
Speaker 1: look like.

511
00:26:41,600 --> 00:26:43,280
Speaker 3: Okay, so what the fuck is going on?

512
00:26:43,400 --> 00:26:43,440
Speaker 5: Go?

513
00:26:45,000 --> 00:26:47,040
Speaker 11: Well, look, I mean I think you know, if you

514
00:26:47,080 --> 00:26:50,800
Speaker 11: look at the totality of the polling, clearly Trump gained

515
00:26:50,800 --> 00:26:54,800
Speaker 11: some ground in October. He hurt Harris with the ad

516
00:26:54,880 --> 00:26:58,200
Speaker 11: barrage but portraying her as week on crime, week on immigration,

517
00:26:58,400 --> 00:27:02,080
Speaker 11: and extreme on transgender rights. And you know, even before

518
00:27:02,119 --> 00:27:06,080
Speaker 11: the debate, one Republican said to me the Harris Trump debate,

519
00:27:06,119 --> 00:27:08,760
Speaker 11: one Republican said to me something that I think has

520
00:27:08,880 --> 00:27:12,199
Speaker 11: really borne out when they said, you know, if we

521
00:27:12,240 --> 00:27:13,960
Speaker 11: win this race, we're not going to win it through

522
00:27:13,960 --> 00:27:16,840
Speaker 11: the interactions between Harris and Trump, whether in the debate

523
00:27:16,920 --> 00:27:19,000
Speaker 11: or the daily news cycle, and we were reminded of

524
00:27:19,000 --> 00:27:21,679
Speaker 11: that again on Sunday, this person said, if we win

525
00:27:21,760 --> 00:27:24,080
Speaker 11: the race, it's going to be just by you know,

526
00:27:24,200 --> 00:27:27,359
Speaker 11: doing to her essentially what we do to Democratic candidates

527
00:27:27,400 --> 00:27:30,640
Speaker 11: in the Swing states since time immemorial, portraying them as

528
00:27:30,680 --> 00:27:33,560
Speaker 11: a you know, soft on crime and immigration and out

529
00:27:33,560 --> 00:27:36,520
Speaker 11: of touch liberal. And that campaign has been very powerful

530
00:27:36,560 --> 00:27:40,280
Speaker 11: and very pronounced, and clearly it has had some impact

531
00:27:40,640 --> 00:27:43,320
Speaker 11: on the national polling and even the polling and the

532
00:27:43,359 --> 00:27:45,520
Speaker 11: key swing states. But when it was all, you know,

533
00:27:45,640 --> 00:27:48,560
Speaker 11: now that we are in the final stretch, it's pretty

534
00:27:48,600 --> 00:27:52,960
Speaker 11: clear that even that offensive have not pushed at least

535
00:27:53,080 --> 00:27:56,200
Speaker 11: the former Blue Wall states of Michigan, Pennsylvania, and Wisconsin

536
00:27:56,280 --> 00:27:59,160
Speaker 11: out of reach for her. And there are reasons to believe.

537
00:27:59,480 --> 00:28:03,639
Speaker 11: I think that she can still win those states even

538
00:28:03,680 --> 00:28:06,639
Speaker 11: with a smaller margin in the national popular vote than

539
00:28:06,640 --> 00:28:10,600
Speaker 11: Biden had, and maybe only as big a margin or

540
00:28:10,640 --> 00:28:13,800
Speaker 11: even slightly smaller in the national popular vote than Hillary

541
00:28:13,800 --> 00:28:15,920
Speaker 11: Clinton had. And we can talk about that the Sun

542
00:28:15,960 --> 00:28:19,200
Speaker 11: Belt states are murkier for her. Those are states where

543
00:28:19,560 --> 00:28:22,600
Speaker 11: non wide voters people of color are such a large

544
00:28:22,760 --> 00:28:26,879
Speaker 11: portion of the electorate that even marginal gains for Trump

545
00:28:27,040 --> 00:28:29,280
Speaker 11: in them could make all of those states tough. And

546
00:28:29,320 --> 00:28:34,280
Speaker 11: obviously North Carolina has been tougher Democrats anyway, But in Michigan, Pennsylvania,

547
00:28:34,359 --> 00:28:37,280
Speaker 11: and Wisconsin, which have always been in the most plausible

548
00:28:37,320 --> 00:28:40,560
Speaker 11: path to two seventy, not only for Biden but for her,

549
00:28:40,920 --> 00:28:43,920
Speaker 11: I think the race is well within the margin of error.

550
00:28:43,960 --> 00:28:46,280
Speaker 11: And as someone smarter than me said to me, you

551
00:28:46,320 --> 00:28:48,840
Speaker 11: know months ago, that means it is within the margin

552
00:28:48,880 --> 00:28:50,760
Speaker 11: of effort. You know, a lot of people are kind

553
00:28:50,800 --> 00:28:54,480
Speaker 11: of agonizing and you know, doom scrolling and checking polls

554
00:28:54,560 --> 00:28:58,000
Speaker 11: every hour. You know, if poles say that Michigan, Pennsylvania

555
00:28:58,040 --> 00:29:00,200
Speaker 11: with consin are with a point or even two points,

556
00:29:00,440 --> 00:29:03,720
Speaker 11: it really doesn't matter which way the pole says. What

557
00:29:03,760 --> 00:29:07,680
Speaker 11: it's really telling you is that the states will that

558
00:29:07,800 --> 00:29:10,240
Speaker 11: state will be decided by things that have not yet happened,

559
00:29:10,560 --> 00:29:14,760
Speaker 11: either interactions on the campaign trail, or perhaps even more important,

560
00:29:15,040 --> 00:29:18,520
Speaker 11: the quality of the campaign and organization that each side

561
00:29:18,520 --> 00:29:21,440
Speaker 11: can execute in the final days. So the way I

562
00:29:21,480 --> 00:29:24,120
Speaker 11: look at it, whatever happens in the sun belt. This

563
00:29:24,320 --> 00:29:29,120
Speaker 11: race is within reach for her through the rost belt Michigan, Pennsylvanus, Constant,

564
00:29:29,160 --> 00:29:31,080
Speaker 11: the three states Trump knocked out of the blue wall,

565
00:29:31,360 --> 00:29:34,280
Speaker 11: and it really is within the reach of either side

566
00:29:34,320 --> 00:29:35,080
Speaker 11: to bring this home.

567
00:29:35,360 --> 00:29:38,280
Speaker 1: Okay, now I'm going to ask you a question just

568
00:29:38,400 --> 00:29:41,040
Speaker 1: for me because I'm interested in it. This is a

569
00:29:41,120 --> 00:29:43,760
Speaker 1: brain tease. Okay, I'm going to read you a tweet.

570
00:29:43,960 --> 00:29:46,720
Speaker 1: This is something I'm obsessed with. Okay, Pole after poll

571
00:29:46,800 --> 00:29:51,360
Speaker 1: shows Harris leading among those that have already voted, even

572
00:29:51,480 --> 00:29:54,920
Speaker 1: narrowly in Florida. So these are exit polls. This is

573
00:29:54,920 --> 00:29:58,440
Speaker 1: the point this sky says. Unless I'm missing something, either

574
00:29:58,920 --> 00:30:02,400
Speaker 1: A polls are badly misreading this group, so.

575
00:30:02,280 --> 00:30:04,800
Speaker 7: The exit polling is wrong, which is possible.

576
00:30:04,800 --> 00:30:09,000
Speaker 1: Or b early voters are bluer than we think and

577
00:30:09,160 --> 00:30:12,280
Speaker 1: thus party affiliation is not really telling the story.

578
00:30:12,440 --> 00:30:13,560
Speaker 8: Yeah, I saw that too.

579
00:30:13,880 --> 00:30:19,240
Speaker 11: You know, I myself find early voting almost impossibly opaque.

580
00:30:19,280 --> 00:30:22,360
Speaker 1: And that's the conventional wisdom about early voting is that

581
00:30:22,440 --> 00:30:24,080
Speaker 1: it just doesn't tell you anything.

582
00:30:24,120 --> 00:30:27,520
Speaker 11: Really, it's not maybe not exactly that. It's as a

583
00:30:27,600 --> 00:30:30,760
Speaker 11: lay person, you do not have access to the full

584
00:30:30,880 --> 00:30:34,320
Speaker 11: layers of information. You need to see if there's any

585
00:30:34,360 --> 00:30:36,880
Speaker 11: signal in the noise, because you know, the number of

586
00:30:36,920 --> 00:30:40,200
Speaker 11: people from each party who vote early doesn't really tell

587
00:30:40,240 --> 00:30:44,320
Speaker 11: you that much if either or both parties are simply cannibalizing,

588
00:30:44,400 --> 00:30:47,200
Speaker 11: as the saying goes their day of voters and moving

589
00:30:47,280 --> 00:30:49,800
Speaker 11: them to early. You know, what you really need is

590
00:30:49,880 --> 00:30:54,520
Speaker 11: something that tells you how irregular voters, how many irregular

591
00:30:54,600 --> 00:30:55,560
Speaker 11: voters are coming.

592
00:30:55,360 --> 00:30:56,480
Speaker 8: Out for each side.

593
00:30:57,000 --> 00:31:00,400
Speaker 11: And there are people who do that kind of deep dive.

594
00:31:00,520 --> 00:31:03,280
Speaker 11: You know, Tom Bonyer may be more famously than anybody

595
00:31:03,280 --> 00:31:06,239
Speaker 11: else on the Democratic side who feel good about what

596
00:31:06,280 --> 00:31:09,520
Speaker 11: they are seeing in Michigan, Pennsylvania and Wisconsin and not

597
00:31:09,600 --> 00:31:11,440
Speaker 11: as good about what they are seeing in the sun

598
00:31:11,480 --> 00:31:14,320
Speaker 11: Belt a swing stick. So which kind of you know,

599
00:31:14,320 --> 00:31:18,080
Speaker 11: which kind of fits into this general that I'm offering here.

600
00:31:18,480 --> 00:31:21,040
Speaker 11: I also have been struck by that polling. And look,

601
00:31:21,200 --> 00:31:24,600
Speaker 11: I mean, there is reason to believe. I think it

602
00:31:24,600 --> 00:31:28,360
Speaker 11: would not be crazy if Kamala Harris won a higher

603
00:31:28,400 --> 00:31:34,400
Speaker 11: percentage of previously Republican leaning independence, particularly college educated independence,

604
00:31:34,400 --> 00:31:37,520
Speaker 11: than Biden did for two big reasons. January sixth had

605
00:31:37,560 --> 00:31:40,160
Speaker 11: not yet happened, and Dobbs had not yet happened. In

606
00:31:40,200 --> 00:31:42,800
Speaker 11: the twenty twenty election. And you know, as I wrote

607
00:31:42,840 --> 00:31:46,160
Speaker 11: this week, I think it is highly likely that Harris

608
00:31:46,200 --> 00:31:49,840
Speaker 11: not only can, but probably must run better than Biden

609
00:31:49,880 --> 00:31:55,240
Speaker 11: did in these big white collar inner suburbs around Philadelphia, Detroit, Milwaukee,

610
00:31:55,320 --> 00:31:59,959
Speaker 11: but also around Madison, Pittsburgh, and Grand Rapids. I mean,

611
00:32:00,480 --> 00:32:04,560
Speaker 11: there is a metro path for her through the former

612
00:32:04,600 --> 00:32:07,760
Speaker 11: Blue Wall states, and you know that is probably I

613
00:32:07,760 --> 00:32:09,480
Speaker 11: think where there's election is going to be is going

614
00:32:09,560 --> 00:32:10,240
Speaker 11: to be decided.

615
00:32:10,480 --> 00:32:14,200
Speaker 1: So now explain to me kind of what it looks

616
00:32:14,280 --> 00:32:18,000
Speaker 1: like right now, the early voting, it's hard to make

617
00:32:18,080 --> 00:32:21,760
Speaker 1: sense of we have North Carolina, I mean, what should

618
00:32:21,760 --> 00:32:22,520
Speaker 1: she be doing now?

619
00:32:22,680 --> 00:32:26,320
Speaker 11: The big picture is that if you look at polling

620
00:32:26,840 --> 00:32:30,240
Speaker 11: both in the swinging states and nationally, obviously polls differ,

621
00:32:30,520 --> 00:32:33,200
Speaker 11: but the basic story they are telling is very similar,

622
00:32:33,200 --> 00:32:36,680
Speaker 11: which is that Harris has regained a lot of the

623
00:32:36,720 --> 00:32:40,160
Speaker 11: ground Biden lost among voters of color, but she hasn't

624
00:32:40,200 --> 00:32:44,200
Speaker 11: regained all of it, especially among Latinos and especially among

625
00:32:44,280 --> 00:32:46,680
Speaker 11: Latino men. I mean, there are reasons for Democrats to

626
00:32:46,720 --> 00:32:50,120
Speaker 11: hope that the big declines among black men that some

627
00:32:50,160 --> 00:32:52,440
Speaker 11: polls are showing is an illusion that will not pan

628
00:32:52,520 --> 00:32:56,120
Speaker 11: out but it is hard to imagine that everything we're

629
00:32:56,120 --> 00:32:58,240
Speaker 11: seeing among Latino men is not real.

630
00:32:58,280 --> 00:32:59,960
Speaker 8: At least you know, some of it is not real.

631
00:33:00,200 --> 00:33:02,560
Speaker 11: So she has regained a lot of the ground Biden

632
00:33:02,640 --> 00:33:04,400
Speaker 11: loss among people of color, but not all of it.

633
00:33:04,440 --> 00:33:08,600
Speaker 11: On the other hand, like Biden, she is running very

634
00:33:08,640 --> 00:33:12,320
Speaker 11: close to the twenty twenty Democratic level of support among

635
00:33:12,360 --> 00:33:16,720
Speaker 11: white voters, which remember, was enough to win six of

636
00:33:16,760 --> 00:33:20,240
Speaker 11: the seven swing states. Right, so she might be down

637
00:33:20,640 --> 00:33:23,520
Speaker 11: a tick among white voters without a college degree, she

638
00:33:23,600 --> 00:33:25,920
Speaker 11: might be up a little bit among white voters with

639
00:33:26,040 --> 00:33:26,920
Speaker 11: a college degree.

640
00:33:27,120 --> 00:33:29,800
Speaker 8: But the net is that she is very.

641
00:33:29,440 --> 00:33:33,080
Speaker 11: Close in both national and state polling on a consistent

642
00:33:33,120 --> 00:33:35,280
Speaker 11: basis to where Biden was among whites.

643
00:33:35,360 --> 00:33:36,440
Speaker 8: Depending on the data source.

644
00:33:36,480 --> 00:33:39,280
Speaker 11: You used, Biden one between forty one and forty three

645
00:33:39,280 --> 00:33:41,720
Speaker 11: percent of whites, and look at something like the New

646
00:33:41,800 --> 00:33:44,720
Speaker 11: York Times poll was exactly forty three, the CNN national

647
00:33:44,720 --> 00:33:48,480
Speaker 11: poll was forty one. Consistently, she is right CNBC was

648
00:33:48,520 --> 00:33:50,800
Speaker 11: forty one. She's right in there. And so what does

649
00:33:50,840 --> 00:33:55,160
Speaker 11: that mean. That means that even a marginal decline, even

650
00:33:55,200 --> 00:33:58,560
Speaker 11: a slight decline in her support among voters of color

651
00:33:58,760 --> 00:34:01,840
Speaker 11: makes it really hard in the Sun Belt battlegrounds because

652
00:34:01,960 --> 00:34:04,960
Speaker 11: in those states, voters of color are a really big

653
00:34:05,000 --> 00:34:07,600
Speaker 11: portion of the electorate, and even a small change in

654
00:34:07,640 --> 00:34:09,840
Speaker 11: their preference is hard for Democrats to overcome.

655
00:34:10,080 --> 00:34:11,840
Speaker 8: So Arizona, Nevada.

656
00:34:12,000 --> 00:34:14,720
Speaker 11: You know, if Latino men really break away from Democrats

657
00:34:14,719 --> 00:34:16,320
Speaker 11: anywhere near the level we're seeing.

658
00:34:16,080 --> 00:34:16,640
Speaker 8: Hard to win.

659
00:34:16,800 --> 00:34:21,000
Speaker 11: Georgia still seems to be right in play, but even

660
00:34:21,120 --> 00:34:23,600
Speaker 11: a few point erosion with black men might be tough

661
00:34:23,640 --> 00:34:24,400
Speaker 11: to overcome.

662
00:34:24,440 --> 00:34:26,880
Speaker 8: North Carolina has been tough to begin with for Democrats.

663
00:34:26,960 --> 00:34:30,160
Speaker 11: On the other hand, if you are maintaining the national

664
00:34:30,719 --> 00:34:33,640
Speaker 11: the Biden level of support among whites from twenty twenty,

665
00:34:33,920 --> 00:34:36,880
Speaker 11: that leaves you in a much stronger position in Michigan

666
00:34:37,200 --> 00:34:39,920
Speaker 11: and Pennsylvania, where whites were about eighty percent of the

667
00:34:40,000 --> 00:34:43,080
Speaker 11: vote in twenty twenty, and in Wisconsin where they were

668
00:34:43,280 --> 00:34:46,440
Speaker 11: ninety percent. I mean, the paradox that Biden faced is

669
00:34:46,480 --> 00:34:49,080
Speaker 11: still kind of true. Even though Harris has improved a

670
00:34:49,120 --> 00:34:52,480
Speaker 11: lot with non white voters and become much more competitive

671
00:34:52,480 --> 00:34:54,800
Speaker 11: than he was in the Sun Belt, the reality is

672
00:34:54,800 --> 00:34:57,360
Speaker 11: is that her best states are still the ones that

673
00:34:57,440 --> 00:35:01,719
Speaker 11: are older and less diverse. Right, So one last point

674
00:35:01,719 --> 00:35:06,720
Speaker 11: about all this, imagine a world in which Harris doesn't

675
00:35:06,800 --> 00:35:10,160
Speaker 11: run as well among non white voters as Biden did

676
00:35:10,239 --> 00:35:14,120
Speaker 11: and way below what Clinton did in twenty sixteen, because

677
00:35:14,120 --> 00:35:15,200
Speaker 11: she ran even better.

678
00:35:15,000 --> 00:35:17,200
Speaker 8: Among non white voters or does a color than Biden did.

679
00:35:17,280 --> 00:35:19,879
Speaker 11: Imagine where Harris doesn't run as well as Clinton did

680
00:35:19,920 --> 00:35:23,799
Speaker 11: among voters of color, but she runs significantly better among

681
00:35:23,840 --> 00:35:25,839
Speaker 11: white voters, which is what she's backed to do.

682
00:35:25,960 --> 00:35:27,440
Speaker 8: I mean, by holding.

683
00:35:27,280 --> 00:35:32,319
Speaker 11: Biden's support among whites, she is locking in the improvement

684
00:35:32,360 --> 00:35:36,320
Speaker 11: that Biden made over Clinton from sixteen to twenty among whites.

685
00:35:36,520 --> 00:35:41,320
Speaker 11: So if you're down among non whites and up among whitest,

686
00:35:42,000 --> 00:35:45,240
Speaker 11: your net margin follow me here in the national popular

687
00:35:45,320 --> 00:35:46,720
Speaker 11: vote may be about the same.

688
00:35:46,560 --> 00:35:48,640
Speaker 8: As Clinton's, which was only two points.

689
00:35:48,840 --> 00:35:51,480
Speaker 11: Your national popular vote may not be any better than Clinton's,

690
00:35:51,480 --> 00:35:54,880
Speaker 11: but you would be better positioned than her to win Michigan, Pennsylvania,

691
00:35:55,040 --> 00:35:57,400
Speaker 11: and was. As the political scientists say, it is a

692
00:35:57,480 --> 00:36:01,840
Speaker 11: more efficient political coalition. Democrats have become accustomed to the

693
00:36:01,840 --> 00:36:03,920
Speaker 11: idea they have to win the popular vote by a

694
00:36:04,000 --> 00:36:08,080
Speaker 11: lot in order to squeeze out an electoral college majority,

695
00:36:08,120 --> 00:36:10,920
Speaker 11: and no one, no one would prefer to try to

696
00:36:10,960 --> 00:36:12,759
Speaker 11: win as a Democrat with a two point lead in

697
00:36:12,760 --> 00:36:15,720
Speaker 11: the popular vote rather than Biden's four and a half,

698
00:36:16,080 --> 00:36:18,080
Speaker 11: but it is not out of reach for her. She

699
00:36:18,160 --> 00:36:21,160
Speaker 11: may fall short in at least one of those three states,

700
00:36:21,400 --> 00:36:23,239
Speaker 11: but it is not hard for me to imagine a

701
00:36:23,239 --> 00:36:27,360
Speaker 11: world where the same popular vote national margin as Clinton

702
00:36:27,360 --> 00:36:31,040
Speaker 11: had can translate into two hundred and seventy Electoral College

703
00:36:31,120 --> 00:36:33,759
Speaker 11: votes for Harris in a way that it could not

704
00:36:33,920 --> 00:36:34,440
Speaker 11: for Clinton.

705
00:36:34,760 --> 00:36:36,400
Speaker 7: Okay, now I have two questions.

706
00:36:36,760 --> 00:36:39,720
Speaker 1: One is I want you to talk about what happened

707
00:36:39,800 --> 00:36:43,319
Speaker 1: last night at Madison Square Garden. The comedian whose name

708
00:36:43,360 --> 00:36:46,760
Speaker 1: is Tony Hinchcliff made a number of racist jokes.

709
00:36:46,440 --> 00:36:48,560
Speaker 7: And also misogynistics jokes.

710
00:36:48,600 --> 00:36:51,200
Speaker 1: He made a joke about oj Simpson, but the joke

711
00:36:51,600 --> 00:36:54,600
Speaker 1: that may have really cost the campaign the most votes

712
00:36:54,760 --> 00:36:57,960
Speaker 1: was his joke about how Puerto Rico was a floating

713
00:36:58,040 --> 00:37:00,560
Speaker 1: pile of garbage, almost.

714
00:37:00,360 --> 00:37:01,719
Speaker 7: Like a mirror.

715
00:37:02,239 --> 00:37:05,680
Speaker 1: Hour later, we had j Lo, we had bad Bunny,

716
00:37:06,400 --> 00:37:09,840
Speaker 1: Mark Anthony did a video today, but Ricky Martin. So

717
00:37:09,920 --> 00:37:14,720
Speaker 1: we've had a number of Puerto Rican celebrities indors Harris,

718
00:37:15,160 --> 00:37:18,000
Speaker 1: and it reminds me a lot of You'll remember that

719
00:37:18,280 --> 00:37:21,719
Speaker 1: when Donald Trump was tweeting out these or retweeting these

720
00:37:21,800 --> 00:37:26,840
Speaker 1: fake Taylor Swift endorsements. That led to Taylor Swift endorsing Harris.

721
00:37:26,840 --> 00:37:30,319
Speaker 1: And remember when Trump said that Jamie Diamond was going

722
00:37:30,400 --> 00:37:32,719
Speaker 1: to endorse him. That led to Jamie Diamond saying that

723
00:37:32,800 --> 00:37:37,480
Speaker 1: actually he would take a cabinet position in the Harris administration.

724
00:37:37,600 --> 00:37:40,160
Speaker 1: But yes, so Donald Trump helped get a lot of

725
00:37:40,239 --> 00:37:41,480
Speaker 1: endorsements for Harris.

726
00:37:41,560 --> 00:37:43,439
Speaker 7: Is it too late for something like that to move

727
00:37:43,480 --> 00:37:43,920
Speaker 7: the needle?

728
00:37:44,280 --> 00:37:48,640
Speaker 11: Someone showed me a private Democratic poll that had Pennsylvania

729
00:37:48,680 --> 00:37:51,880
Speaker 11: within half a point, you know. So the answer is

730
00:37:52,239 --> 00:37:55,840
Speaker 11: there are five hundred thousand Puerto Rican citizens in Pennsylvania,

731
00:37:55,840 --> 00:37:57,480
Speaker 11: and I believe you. John Fetterman tweeted today that four

732
00:37:57,560 --> 00:37:59,800
Speaker 11: hundred thousand, roughly four hunred thousand of them can vote.

733
00:38:00,120 --> 00:38:04,239
Speaker 11: So Trump was counting on improvements with those voters as

734
00:38:04,320 --> 00:38:08,040
Speaker 11: part of his winning coalition. And first of all, the

735
00:38:08,080 --> 00:38:11,360
Speaker 11: tenor of the overall rally I think was a signal,

736
00:38:11,520 --> 00:38:14,439
Speaker 11: like everything else we're watching, that Trump thinks he has won,

737
00:38:14,920 --> 00:38:18,960
Speaker 11: that America is on board for a full scale kind

738
00:38:19,000 --> 00:38:22,840
Speaker 11: of cultural purge and racial purge, that they can just

739
00:38:22,920 --> 00:38:25,160
Speaker 11: kind of, you know, let it go. And also, I

740
00:38:25,160 --> 00:38:28,680
Speaker 11: mean they also believe that the more extreme and outrageous

741
00:38:28,719 --> 00:38:31,480
Speaker 11: you get, the more likely you are to activate rarely

742
00:38:31,600 --> 00:38:35,520
Speaker 11: voting conservative men, younger men, non college men, all of that.

743
00:38:35,760 --> 00:38:38,359
Speaker 11: So it's it's like they turn up the volume because

744
00:38:38,360 --> 00:38:40,440
Speaker 11: they think that's the only way they can reach these

745
00:38:40,480 --> 00:38:43,279
Speaker 11: people who are disconnected from the political system.

746
00:38:42,880 --> 00:38:46,000
Speaker 1: Right, but that they then very likely take a chance

747
00:38:46,040 --> 00:38:47,640
Speaker 1: to really alienate.

748
00:38:48,120 --> 00:38:48,719
Speaker 8: That's the thing.

749
00:38:48,960 --> 00:38:51,120
Speaker 11: The way I've been phrasing it is that for the

750
00:38:51,160 --> 00:38:51,880
Speaker 11: final week.

751
00:38:52,000 --> 00:38:54,760
Speaker 8: To me, the question is what is the question?

752
00:38:55,280 --> 00:38:59,200
Speaker 11: Like Trump started his speech yesterday, I believe with the

753
00:38:59,320 --> 00:39:02,000
Speaker 11: question that we're Republicans want to be the question are

754
00:39:02,040 --> 00:39:03,680
Speaker 11: you better off than you were four years ago?

755
00:39:03,920 --> 00:39:05,400
Speaker 8: Now? It may not be fair.

756
00:39:05,200 --> 00:39:07,480
Speaker 11: Given all the growth in the job market and all

757
00:39:07,520 --> 00:39:10,399
Speaker 11: the billions of dollars hundreds of abilities osma vet right.

758
00:39:10,400 --> 00:39:14,239
Speaker 1: But a straight economic message you could see delivering for

759
00:39:14,320 --> 00:39:15,520
Speaker 1: a Republican right.

760
00:39:15,640 --> 00:39:18,200
Speaker 11: But you know, most people, because of inflation, say they're

761
00:39:18,239 --> 00:39:19,880
Speaker 11: not better off than they were four years ago. And

762
00:39:19,960 --> 00:39:22,799
Speaker 11: that's especially true among families living paycheck to paycheck, which

763
00:39:22,800 --> 00:39:24,440
Speaker 11: include a lot of you know, in black families.

764
00:39:24,760 --> 00:39:27,759
Speaker 7: The irony, though, is that four years ago we were

765
00:39:27,800 --> 00:39:28,920
Speaker 7: in the middle of a pandemic.

766
00:39:29,280 --> 00:39:31,960
Speaker 11: Right that lead that aside, If that's the question it's

767
00:39:32,000 --> 00:39:34,839
Speaker 11: a hard road for Paris, but there is no reason

768
00:39:34,960 --> 00:39:36,480
Speaker 11: that has to be the question. I mean, the other

769
00:39:36,560 --> 00:39:39,520
Speaker 11: question that America is grappling with, that could be the

770
00:39:39,640 --> 00:39:42,799
Speaker 11: dominant question in the final days, is are you willing

771
00:39:42,880 --> 00:39:48,160
Speaker 11: to risk returning this Donald Trump? Who is this overtly racist, xenophobic,

772
00:39:48,400 --> 00:39:50,040
Speaker 11: misogynist and authoritarian.

773
00:39:50,160 --> 00:39:52,440
Speaker 8: Are you willing to return him to the White House.

774
00:39:52,480 --> 00:39:54,400
Speaker 11: The answer is yes for a lot of people, but

775
00:39:54,640 --> 00:39:58,480
Speaker 11: there are certainly some voters who might be dissatisfied with

776
00:39:58,560 --> 00:40:01,800
Speaker 11: the economy, might trust more on the economy, who simply

777
00:40:01,880 --> 00:40:02,799
Speaker 11: are not willing to.

778
00:40:02,800 --> 00:40:05,680
Speaker 8: Take that risk. And this is not a theoretical proposition.

779
00:40:05,840 --> 00:40:08,680
Speaker 11: We saw it in twenty twenty two when Democrats won

780
00:40:08,719 --> 00:40:11,360
Speaker 11: an unusually high percentage of voters who disapproved of Biden

781
00:40:11,760 --> 00:40:14,759
Speaker 11: or disapproved to the economy and still would not vote

782
00:40:14,760 --> 00:40:16,960
Speaker 11: for Republican alternatives.

783
00:40:16,560 --> 00:40:18,280
Speaker 7: Right than Nicki Haley voters.

784
00:40:18,680 --> 00:40:21,520
Speaker 11: Part of Nicki Haley voters, but you know, even probably

785
00:40:21,680 --> 00:40:25,960
Speaker 11: some blue collar white women and some black and Hispanic men.

786
00:40:26,200 --> 00:40:29,080
Speaker 11: In the end, I mean, I think Trump is trying

787
00:40:29,120 --> 00:40:31,759
Speaker 11: to execute and maybe appropriately enough, after this rally with

788
00:40:31,800 --> 00:40:34,400
Speaker 11: its nineteen thirty nine echoes, he is trying to execute

789
00:40:34,400 --> 00:40:37,160
Speaker 11: a pincer movement. I think it is highly likely, given

790
00:40:37,200 --> 00:40:39,279
Speaker 11: the way they portrayed Harris as his out of touch

791
00:40:39,320 --> 00:40:42,360
Speaker 11: coastal liberal, that he will run even better than he

792
00:40:42,480 --> 00:40:45,960
Speaker 11: did in Trump country, small town, rural e serban America,

793
00:40:46,480 --> 00:40:49,440
Speaker 11: mostly non college white. It's a lot of conservative Christians,

794
00:40:49,640 --> 00:40:53,000
Speaker 11: you know, very resonant with the social issues. And I

795
00:40:53,120 --> 00:40:56,680
Speaker 11: think primarily because of inflation, it's likely that he will

796
00:40:56,719 --> 00:40:57,759
Speaker 11: make at least.

797
00:40:57,800 --> 00:41:00,600
Speaker 8: Some progress at crack these.

798
00:41:00,520 --> 00:41:05,400
Speaker 11: Towering traditional Democratic advantages in the central cities among voters

799
00:41:05,640 --> 00:41:06,120
Speaker 11: of color.

800
00:41:06,280 --> 00:41:07,920
Speaker 8: So where does she go to offset that?

801
00:41:08,000 --> 00:41:10,560
Speaker 11: Well, partially she starts with a cushion because Biden won

802
00:41:10,640 --> 00:41:12,600
Speaker 11: the states that she has to win. But where does

803
00:41:12,640 --> 00:41:14,680
Speaker 11: she go. She goes to the inner suburb. She goes

804
00:41:14,719 --> 00:41:18,640
Speaker 11: to the racially diverse, well educated, generally doing pretty well.

805
00:41:18,760 --> 00:41:20,480
Speaker 11: Like inflation is kind of a pain, but it's not

806
00:41:20,560 --> 00:41:24,360
Speaker 11: really an existential crisis for people in Montgomery and Delaware

807
00:41:24,440 --> 00:41:27,640
Speaker 11: County and Oakland County and Kent County and Gaine and

808
00:41:28,120 --> 00:41:31,400
Speaker 11: the Wow Counties, Waukesha and so forth. And there are

809
00:41:31,440 --> 00:41:34,719
Speaker 11: the voters who could say, yeah, I don't think the

810
00:41:34,800 --> 00:41:37,000
Speaker 11: last four years have worked out that well, but I

811
00:41:37,160 --> 00:41:39,800
Speaker 11: am not willing to take the risk of going to Trump,

812
00:41:39,880 --> 00:41:43,239
Speaker 11: and if you ask me today, she can, and she

813
00:41:43,440 --> 00:41:47,200
Speaker 11: probably must do a little better than Biden did in

814
00:41:47,320 --> 00:41:49,280
Speaker 11: all of the places I just mentioned, the four suburban

815
00:41:49,320 --> 00:41:52,239
Speaker 11: counties outside Philly. Biden won them by two hundred ninety

816
00:41:52,239 --> 00:41:54,960
Speaker 11: thousand votes, which was itself one hundred and fifteen thousand

817
00:41:55,000 --> 00:41:57,239
Speaker 11: more than Hillary. She may have to do better yet

818
00:41:57,400 --> 00:42:00,400
Speaker 11: Oakland County he doubled the margin of Hillary.

819
00:42:00,640 --> 00:42:01,520
Speaker 8: She might have to do it better.

820
00:42:01,640 --> 00:42:01,759
Speaker 2: Yet.

821
00:42:01,960 --> 00:42:05,400
Speaker 11: Dane County, it just keeps growing, turnout keeps going up,

822
00:42:05,440 --> 00:42:08,520
Speaker 11: and the Democratic margins keep going up. She's probably going

823
00:42:08,600 --> 00:42:11,799
Speaker 11: to have to max out there to squeeze out Wisconsin.

824
00:42:12,239 --> 00:42:14,840
Speaker 11: Not a simple path, no guarantee that she can do it,

825
00:42:14,920 --> 00:42:17,640
Speaker 11: but not an impossible one at all. I mean, really

826
00:42:18,040 --> 00:42:21,200
Speaker 11: within the margin of effort, as people say, for her

827
00:42:21,560 --> 00:42:24,120
Speaker 11: to generate enough of the vote she needs in all

828
00:42:24,239 --> 00:42:27,000
Speaker 11: of those three states to squeeze them out, even if

829
00:42:27,040 --> 00:42:29,400
Speaker 11: the national popular vote is much closer than it was

830
00:42:29,440 --> 00:42:31,920
Speaker 11: in twenty twenty, and maybe as close or even closer

831
00:42:32,080 --> 00:42:33,240
Speaker 11: than it was in twenty sixteen.

832
00:42:33,520 --> 00:42:36,200
Speaker 7: All right, so now go along with me on this.

833
00:42:36,640 --> 00:42:40,200
Speaker 1: What if the polls are just wrong, What if she's

834
00:42:40,320 --> 00:42:45,720
Speaker 1: doing better what if they're just waiting them to are heavy,

835
00:42:46,239 --> 00:42:50,439
Speaker 1: to try to not underestimate Trump yet again, could be sure?

836
00:42:50,719 --> 00:42:52,560
Speaker 11: I mean yes, I mean you only find out the

837
00:42:52,600 --> 00:42:55,520
Speaker 11: polls are wrong after I mean, maybe that's right, but

838
00:42:55,719 --> 00:42:57,719
Speaker 11: I kind of feel like, you know, in some ways

839
00:42:57,719 --> 00:42:59,000
Speaker 11: that were like past that question.

840
00:42:59,200 --> 00:43:01,520
Speaker 8: If after all of this, the polls.

841
00:43:01,280 --> 00:43:03,239
Speaker 11: Are telling you it's within one point either way, they're

842
00:43:03,239 --> 00:43:05,160
Speaker 11: telling you that either side can win these states, and

843
00:43:05,239 --> 00:43:07,800
Speaker 11: their polling probably can't predict which one it will be

844
00:43:07,920 --> 00:43:11,680
Speaker 11: because it isn't surgical precision to that extent where you

845
00:43:11,800 --> 00:43:14,480
Speaker 11: can look at it and say, well, you know, she's

846
00:43:14,560 --> 00:43:16,319
Speaker 11: up at half a point in Wisconsin, so she's going

847
00:43:16,400 --> 00:43:17,239
Speaker 11: to win, and you don't know.

848
00:43:17,440 --> 00:43:17,640
Speaker 8: I mean.

849
00:43:18,160 --> 00:43:20,200
Speaker 11: One thing Democrats do have to worry about is that

850
00:43:20,239 --> 00:43:23,640
Speaker 11: in Michigan, Pennsylvania, Wisconsin, the next circle of irregular voters

851
00:43:24,040 --> 00:43:26,560
Speaker 11: does tend to lean more toward non college whites who

852
00:43:26,600 --> 00:43:28,480
Speaker 11: are probably going to vote for Trump, you know, sixty

853
00:43:28,480 --> 00:43:30,319
Speaker 11: to forty. But there are also a lot of high

854
00:43:30,320 --> 00:43:34,359
Speaker 11: propensity Republican leaning voters, women in particular, but maybe even

855
00:43:34,440 --> 00:43:37,600
Speaker 11: some men who are not going to go along with

856
00:43:37,719 --> 00:43:39,640
Speaker 11: him in the way they did last time. Because of

857
00:43:39,680 --> 00:43:41,200
Speaker 11: the two things the two big things that have happened

858
00:43:41,200 --> 00:43:44,600
Speaker 11: since then January sixth and Doc and also just this

859
00:43:44,960 --> 00:43:48,520
Speaker 11: you know, turn toward ever more overt kind of authoritarian

860
00:43:48,760 --> 00:43:50,480
Speaker 11: and racist. By the way, I can I just make

861
00:43:50,520 --> 00:43:52,920
Speaker 11: one point on that it always gets a lot of

862
00:43:53,000 --> 00:43:58,000
Speaker 11: focus when Trump says things that are outrageous or you know,

863
00:43:58,160 --> 00:44:01,640
Speaker 11: just patently offensive. In John Kelly's interviews, we focus on

864
00:44:01,680 --> 00:44:03,200
Speaker 11: the fact that he had praised Hitler and said he

865
00:44:03,239 --> 00:44:07,279
Speaker 11: wanted Hitler's generals from yesterday's rally. We're focusing on these

866
00:44:07,400 --> 00:44:10,360
Speaker 11: remarks about Puerto Rico. But I think it's really important

867
00:44:10,360 --> 00:44:12,719
Speaker 11: for people to understand that it's not just rhetoric. There

868
00:44:12,800 --> 00:44:15,759
Speaker 11: is policy attached to this in each case. I mean

869
00:44:15,800 --> 00:44:18,640
Speaker 11: what John Kelly, The most important part of John Kelly's

870
00:44:18,680 --> 00:44:21,200
Speaker 11: interview was not that Hitler, you know, Trump said ad

871
00:44:21,239 --> 00:44:23,760
Speaker 11: Myron things about Hiller. It's that John Kelly said, Trump

872
00:44:23,960 --> 00:44:28,360
Speaker 11: repeatedly as president wanted to use the military against American

873
00:44:28,440 --> 00:44:31,680
Speaker 11: citizens on US Street, and as I've written, he has

874
00:44:32,000 --> 00:44:36,279
Speaker 11: multiple specific proposals to do that. And similarly, at the

875
00:44:36,320 --> 00:44:38,640
Speaker 11: same time this rally was happening in Madison Square Garden,

876
00:44:39,400 --> 00:44:43,240
Speaker 11: one of Trump's top immigration divisors was on sixty minutes,

877
00:44:43,560 --> 00:44:47,279
Speaker 11: and he said something that was so incendiary that I

878
00:44:47,320 --> 00:44:48,720
Speaker 11: am astonished for we're not talking.

879
00:44:48,560 --> 00:44:49,080
Speaker 8: About it more.

880
00:44:49,120 --> 00:44:52,080
Speaker 11: Today he was asked, how would you avoid family separation

881
00:44:52,239 --> 00:44:54,960
Speaker 11: in madics deportation, He said, no, we want to separate

882
00:44:54,960 --> 00:44:55,279
Speaker 11: them at all.

883
00:44:55,320 --> 00:44:56,359
Speaker 8: We'll deport the kids too.

884
00:44:56,680 --> 00:45:02,840
Speaker 11: There are four million US c citizen children Latino US

885
00:45:02,960 --> 00:45:07,000
Speaker 11: citizen children who have at least one parent who is undocumented.

886
00:45:07,360 --> 00:45:12,040
Speaker 11: So the Trump administration is now openly talking about deporting

887
00:45:12,160 --> 00:45:17,040
Speaker 11: potentially millions of US citizen Latino children as part of

888
00:45:17,080 --> 00:45:17,880
Speaker 11: the mass deportation.

889
00:45:18,200 --> 00:45:21,600
Speaker 8: I have not heard that before yesterday. And maybe the

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00:45:21,680 --> 00:45:22,719
Speaker 8: courts would stop.

891
00:45:22,520 --> 00:45:24,680
Speaker 11: Them, though I'm not sure John Roberts would stop Donald

892
00:45:24,719 --> 00:45:27,480
Speaker 11: Trump from anything that he wants to do in the end.

893
00:45:27,640 --> 00:45:30,319
Speaker 11: But when you were talking about deporting not only undocumented

894
00:45:30,320 --> 00:45:33,759
Speaker 11: people but millions of citizens, you are starting to veer

895
00:45:34,080 --> 00:45:37,800
Speaker 11: deeper into the realm of ethnic cleansing. And again, you know,

896
00:45:37,920 --> 00:45:40,600
Speaker 11: the paradox and all of this is that Trump is

897
00:45:40,719 --> 00:45:45,600
Speaker 11: not only hoping for he is counting on significantly improved

898
00:45:45,680 --> 00:45:49,480
Speaker 11: performance with Latino voters, especially men, even as they are

899
00:45:49,560 --> 00:45:54,800
Speaker 11: now talking openly about deporting potentially millions of US born

900
00:45:54,960 --> 00:45:57,759
Speaker 11: citizen Latino kids, We just kind of wrap your head

901
00:45:57,800 --> 00:46:00,839
Speaker 11: around that, you know, their expectation that they can get

902
00:46:00,880 --> 00:46:03,920
Speaker 11: away with this, you know, kind of stereo broadcasting that

903
00:46:04,120 --> 00:46:08,239
Speaker 11: kind of message white yes and counting on Latinos to

904
00:46:08,280 --> 00:46:09,440
Speaker 11: move for them on the economy.

905
00:46:09,560 --> 00:46:11,200
Speaker 7: Thank you, thank you, thank you, thank you.

906
00:46:11,360 --> 00:46:18,760
Speaker 1: Ron No Moon, Jesse Cannon, Molly.

907
00:46:18,960 --> 00:46:22,680
Speaker 4: The fallout continues from Tony Hinchcliff's really stupid joke about

908
00:46:22,680 --> 00:46:24,000
Speaker 4: Puerto Rico. What are you seeing here?

909
00:46:24,480 --> 00:46:29,279
Speaker 2: So, Puerto Rico's Republican party chairman has threatened to withhold

910
00:46:29,400 --> 00:46:33,000
Speaker 2: his support from Donald Trump unless he issues an apology

911
00:46:33,080 --> 00:46:37,680
Speaker 2: for the offensive remarks that Tony Henchcliff made on Sunday

912
00:46:38,200 --> 00:46:42,000
Speaker 2: at Madison Square Garden. He called the island a floating

913
00:46:42,080 --> 00:46:45,520
Speaker 2: island of garbage. The comments sparked a lot of condemnation,

914
00:46:46,160 --> 00:46:49,160
Speaker 2: but we haven't seen an apology. And if I know

915
00:46:49,400 --> 00:46:52,799
Speaker 2: anything about Trump, and I know a little bit, unfortunately

916
00:46:52,880 --> 00:46:56,040
Speaker 2: for me, it's that I would be very surprised if

917
00:46:56,080 --> 00:46:58,800
Speaker 2: you get an apology for this. You'll remember that Donald

918
00:46:58,800 --> 00:47:05,160
Speaker 2: Trump still hasn't dissape out North Carolina gubernatorial candidate Mark Robinson.

919
00:47:05,600 --> 00:47:06,799
Speaker 3: So I think it's very.

920
00:47:06,800 --> 00:47:09,920
Speaker 2: Unlikely we're going to see an apology here, since what

921
00:47:10,040 --> 00:47:12,640
Speaker 2: we saw in Chady Vance say was that everyone should

922
00:47:12,880 --> 00:47:17,120
Speaker 2: suck it up and be okay with racism because we're

923
00:47:17,160 --> 00:47:19,200
Speaker 2: all too politically correct.

924
00:47:19,719 --> 00:47:22,560
Speaker 3: That, my friends, is our moment of book.

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Speaker 1: That's it for this episode of Fast Politics. Tune in

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Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best

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00:47:33,440 --> 00:47:37,719
Speaker 1: minds and politics make sense of all this chaos. If

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Speaker 1: you enjoy this podcast, please send it to a friend

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00:47:41,280 --> 00:47:44,440
Speaker 1: and keep the conversation going. Thanks for listening.