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Speaker 1: Hello. Welcome to Fast Politics. I'm Molly Jongfast, and we

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Speaker 1: have such a great show for you today. Later in

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Speaker 1: the show, we'll talk to Congressman Chris DiLuzio about the

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Speaker 1: prospects of impeaching Whiskey Beat. But first, we'll talk to

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Speaker 1: the Latino Vote podcast, Mike Madrid, about what he's seeing

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Speaker 1: one week out from Election Day. Welcome, welcome, Mike Madrid.

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Speaker 2: Back in the saddle, Molly.

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Speaker 3: Yeah.

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Speaker 4: Yes.

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Speaker 1: So Latino voters are the new soccer moms, basically the biggest, swingiest,

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Speaker 1: and at this moment, very mad group of voters that

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Speaker 1: Democrats may in fact have for this midterm, but will not,

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Speaker 1: will merely rent. So talk us through what we are

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Speaker 1: seeing in this early voting already and in the polls and.

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Speaker 2: Look, you characterized it perfectly. There's no group in America

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Speaker 2: that's swinging by 20, 25 points anymore, except for this group.

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Speaker 2: That's how you and I got to know each other

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Speaker 2: a few years ago, talking about this dynamic, predicting that

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Speaker 2: this was going to happen. You said it perfectly.

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Speaker 3: It's a rental.

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Speaker 2: And it comes down largely to economics. Obviously, when you

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Speaker 2: start terrorizing people and hunting them down, that's not a

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Speaker 2: net good. It's never going to work. So I'm not

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Speaker 2: dismissing that at all. But again, the reason why they

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Speaker 2: left the Democrats in the first place over the past

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Speaker 2: couple of years was because of economics, because of jobs.

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Speaker 2: And it's where these voters are at, too. These top

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Speaker 2: 20 battleground districts, House districts, more than half of them

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Speaker 2: have very large Latino populations. You look at the Texas race,

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Speaker 2: of course, even Kansas, Ohio, like all of these have

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Speaker 2: a rapidly growing Hispanic population that's well outside the margin

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Speaker 2: of victory. Alaska, like Paltola, they're looking at targeting Latinos

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Speaker 2: in Alaska.

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Speaker 1: Wait, there are Latinos in Alaska?

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Speaker 3: Yeah.

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Speaker 2: Well, anywhere there's a working class base now is being

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Speaker 2: replaced demographically by Latinos.

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Speaker 3: So fisheries.

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Speaker 2: You know, all the oil energy space, all of that

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Speaker 2: is all just a lot of companies, corporations, businesses have

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Speaker 2: been working, recruiting, looking for labor. And that's a big,

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Speaker 2: we don't talk much about this, Molly, but one of

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Speaker 2: the reasons that prices are going up is because labor

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Speaker 2: pressures are so bad as we've been kicking out cheap labor.

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Speaker 2: So there's all sorts of stuff that's happened to the

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Speaker 2: country politically as a result of this disaster of a

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Speaker 2: policy that Trump's employed. And yes, it's going to be

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Speaker 2: a dummy man down in Texas. At least three of

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Speaker 2: the five, some are predicting all five of those new

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Speaker 2: Republican seats go away for the Republicans, which would be extraordinary.

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Speaker 2: Literal explosion of Latino turnout right now that I've never

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Speaker 2: seen before because it's never happened before.

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Speaker 1: First, I want to talk to you about this statistic

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Speaker 1: that one in four Latinos have been affected by ICE.

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Speaker 2: Well, again, one in four, that does not surprise me.

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Speaker 2: That doesn't mean they've been deported, but it means maybe.

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Speaker 3: A family member has.

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Speaker 1: Family member has been deported. So talk us through, that

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Speaker 1: seems like a lot.

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Speaker 2: It is a very, very big number. And again, I

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Speaker 2: think how that is answered depends, I think. But remember,

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Speaker 2: just because Noam and Bovino were fired and they lowered

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Speaker 2: the PR level under Marquine Mullen, doesn't mean it stopped.

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Speaker 2: The ICE activity has increased. It's gone up. And so

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Speaker 2: there are these mixed status households, which I was speaking

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Speaker 2: with some data experts just yesterday. There's been such an

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Speaker 2: explosion of young people, U.S. born Latino voters showing up

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Speaker 2: in a way that I could never have ever predicted

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Speaker 2: or imagined, even if somebody has been watching this for

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Speaker 2: 35 years. And one of the reasons is, one of

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Speaker 2: the reasons is they lived in mixed status households. So

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Speaker 2: it could be a cousin of It could be a

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Speaker 2: family member. It could be somebody who is here undocumented.

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Speaker 2: And they're showing up essentially to protect them and vote

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Speaker 2: for on their behalf and saying this has to stop

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Speaker 2: because we know these people. That is clearly going to

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Speaker 2: be driving a massive amount of the turnout that we're seeing.

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Speaker 2: We're seeing triple digit increases from 2022.

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Speaker 3: Yeah.

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Speaker 2: No one has seen that even with soccer moms. There

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Speaker 2: aren't that many soccer moms out there. Yeah.

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Speaker 1: As of mid-Monday, 4.5 million Texans have already cast ballots.

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Speaker 1: Talk us through what that means.

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Speaker 3: Okay.

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Speaker 2: So turnout is likely to be, I think, very, very high,

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Speaker 2: assuming that all of the early trends continue even modestly. Technically, mathematically,

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Speaker 2: they could all stop tomorrow. Right. But that's not likely

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Speaker 2: to happen. The reason why that's not likely to happen

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Speaker 2: is because, one, that never happens, but two, the people

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Speaker 2: that are showing up, Molly, over half of them... reportedly

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Speaker 2: don't have any vote history at all before. These are

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Speaker 2: all new voters coming to the polls. So there's also

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Speaker 2: been this suggestion that maybe all of these regular voters

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Speaker 2: are just voting early because they're so excited to vote.

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Speaker 2: That's not true. These are all new voters. There's still

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Speaker 2: a large wave of folks coming. And the math gets

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Speaker 2: very complicated for Republicans at some point because While Republican

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Speaker 2: numbers are down and not massively down, but they're down

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Speaker 2: enough to not allow them to stay at parity or

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Speaker 2: stay competitive. But every day that goes by gets exponentially

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Speaker 2: more difficult as these new voters show up because you

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Speaker 2: have a larger hill to climb every day. And at

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Speaker 2: some point, the math just starts to fall in on them.

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Speaker 2: collapse in on them. And so if these large turnout

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Speaker 2: numbers from these demographics continue, every day that goes by

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Speaker 2: gets exponentially more difficult to remain competitive in Texas. That's

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Speaker 2: what's going on.

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Speaker 1: So in Nevada, there is this, so far, Democrats have

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Speaker 1: a huge firewall in early voting. Nevada is a very

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Speaker 1: Hispanic state, right?

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Speaker 2: Clark County, yeah, where Las Vegas is. It's the whole...

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Speaker 2: whole worker base that keeps Vegas going.

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Speaker 1: Yes. So, so that would support your thesis, right? That

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Speaker 1: there is a young Hispanic voters getting out there voting

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Speaker 1: that some of them have never voted before. Like this

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Speaker 1: is the, this is, that's what that is. Yeah.

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Speaker 2: Massive amounts have never voted before. So let's talk about

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Speaker 2: Nevada really quick. Clark County is the populist County where

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Speaker 2: Las Vegas is. The whole Vegas strip runs on, on

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Speaker 2: Latino labor, right? That's where the, the, um, commercial workers

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Speaker 2: union is, the famous union that Harry Reid turned into

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Speaker 2: an operation and turned Nevada blue. But understand something. The Democrats,

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Speaker 2: while they've invested heavily in Latino, quote unquote, infrastructure and

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Speaker 2: ground game operations, the truth of the matter is, in 35,

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Speaker 2: 40 years that I've been engaged in politics on both sides...

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Speaker 2: That's never been successful. That's always been more hype than

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Speaker 2: anything else.

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Speaker 1: Right.

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Speaker 2: Even the labor organizing. You can't organize that much. And

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Speaker 2: Democrats were very reticent after what happened in 2024 to

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Speaker 2: do that much work because they were afraid they'd be

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Speaker 2: turning out Republicans. Right.

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Speaker 1: And there's a Republican governor right now in Nevada.

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Speaker 2: Yeah. There's Republicans operations in Nevada. It's a very contentious

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Speaker 2: purple state. So my point is, the reason why I

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Speaker 2: bring that up is to say, look, If the polls

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Speaker 2: are even to be slightly believed, and it's everybody's polling,

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Speaker 2: including the Republicans polling at this point, you can't manufacture that.

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Speaker 2: It's all organic and it's happening absolutely everywhere in the country.

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Speaker 2: You're seeing huge numbers in Florida, 122% turnout. Georgia, over

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Speaker 2: triple digits turnout, absolutely happening in Texas, where it might

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Speaker 2: actually not be happening as much as California, but California,

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Speaker 2: there's no real contested races. It's not that interesting or exciting.

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Speaker 2: But yeah, you're seeing it virtually everywhere in the entire country.

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Speaker 2: It's just a matter of whether it's high double-digit or

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Speaker 2: triple-digit turnout increases.

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Speaker 1: So when we talk about Texas, I would like to

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Speaker 1: talk about these candidates. I interviewed Bobby Polito. They're a

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Speaker 1: bunch of really good Hispanic candidates, House candidates, and even

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Speaker 1: he's not necessarily a A bright spot, but even the

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Speaker 1: recently pardoned, what's his name?

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Speaker 3: Gonzalez or Cuellar?

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Speaker 1: Cuellar, who's going to. So can we talk about these

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Speaker 1: House candidates in Texas?

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Speaker 2: Yeah, I spent a lot of time down there and

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Speaker 2: spent a lot of time with Bobby and his campaign.

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Speaker 2: Talked to him and checked out his operation, met his

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Speaker 2: data guys, just because I want to sniff it out.

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Speaker 2: This is back in September.

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Speaker 5: I'd be like, is this real?

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Speaker 3: Is this not?

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Speaker 2: And it absolutely is. Abel Prado is campaign manager. It's

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Speaker 2: one of the best campaigns I've ever seen run ever anywhere.

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Speaker 2: So I think you're going to hear a lot about

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Speaker 2: him and his name because he's going to be central

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Speaker 2: to helping Democrats turn this around for the presidential race, too.

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Speaker 1: He's also great. I mean, we just interviewed him and

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Speaker 1: I thought he was really great. Yeah, Bobby.

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Speaker 2: The cool thing about Bobby Polito is he's a cultural

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Speaker 2: figure who's now gotten into politics. He's like the model

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Speaker 2: that has worked for Republicans that Democrats have never been

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Speaker 2: able to emulate. And he's cracked the code. And he's

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Speaker 2: not just going to win a Trump plus 12, 14 district.

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Speaker 2: I mean, he's going to smash her. I wouldn't be

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Speaker 2: surprised if he beats Monica de la Cruz by double digits,

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Speaker 2: which would be basically a 25, 30 point swing.

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Speaker 6: Wow.

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Speaker 2: If you do that, as much as we're talking about

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Speaker 2: Tallarico and Hinojosa and they're great candidates and it's an

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Speaker 2: extraordinary year, but if Bobby Pulido wins by 25 points

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Speaker 2: in the Central Valley or 20 points, um, I'm sorry,

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Speaker 2: a 20-point swing, not win by 20, but if these

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Speaker 2: voters move by that much, you've got to give the

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Speaker 2: guy credit for turning the South Texas region back around.

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Speaker 2: Not just those candidates, but his whole imprimatur, because he's

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Speaker 2: like a king down there. He is so well-known. And

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Speaker 2: he's very affable, great guy. He's going to be a

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Speaker 2: national name in the Democratic Party, and he should be,

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Speaker 2: because the real question that the Democrats are going to

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Speaker 2: have to ask themselves is, do we want to keep

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Speaker 2: winning places like Texas and be a bigger national party?

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Speaker 2: Or do we want to double down on some of

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Speaker 2: our politics where we've been going and kind of win

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Speaker 2: Brooklyn by a higher margin? That's the choice before the Democrats.

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Speaker 2: And I think that's why Bobby Kalil is going to

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Speaker 2: become such a big name in the next couple of weeks.

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Speaker 2: He's really going to test the theory of the case

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Speaker 2: for the Democrats in a very good way.

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Speaker 1: So when you say this, what you're talking about, and

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Speaker 1: this is a core tenet of Hispanic voters, is that

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Speaker 1: these voters are Democrats, but they're not necessarily liberals. And

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Speaker 1: I want you to say more about that.

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Speaker 2: I want people to understand, and this again is why

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Speaker 2: I wrote the book, why I spent years doing this,

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Speaker 2: it's extremely hard to for political people in this country

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Speaker 2: to understand that what is happening can't be, it doesn't

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Speaker 2: fit into right, left, red, blue silos. That's why no

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Speaker 2: one can figure this out. It's like, why are Latinos

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Speaker 2: behaving so peculiarly? They're moving 20 points toward Trump, then

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Speaker 2: 20 points away. They'll vote for Eric Adams in New

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Speaker 2: York City, then they'll vote for Trump, then they'll vote

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Speaker 2: for Mom Donnie. It's because it's not ideological. It very

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Speaker 2: much looks like populism And what I think is going

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Speaker 2: to really challenge the Democrats and the Republicans, by the way,

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Speaker 2: this is not just a Democratic thing. It's the whole

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Speaker 2: American political structure is Latinos do not fit neatly in

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Speaker 2: either of these red blue silos. And that's what's going

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Speaker 2: to happen again on Tuesday night. And that doesn't mean

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Speaker 2: when so when you say they're Democrats or they're but

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Speaker 2: they're not necessarily progressive or or what have you. Yes

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Speaker 2: and no. Like AOC is very, she's a DSA. She's

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Speaker 2: likely not as much as Bobby Polito is. Randy Villegas

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Speaker 2: is a working fan. Randy Villegas had Bernie Sanders and

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Speaker 2: AOC in Bakersfield, California. And he's going to win. He's

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Speaker 2: going to win a very conservative area. That doesn't make

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Speaker 2: him any more or less Hispanic. But here's the one

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Speaker 2: thing they do all have in common. Molly, sorry about

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Speaker 2: the long wind up here. But they are all, every

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Speaker 2: one of them will say the Democratic Party is the problem.

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Speaker 2: The establishment is the problem. And people are confusing that

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Speaker 2: with ideological shifts. This is the same thing that happened

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Speaker 2: to the Republicans on the right. Oh, all these Latinos

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Speaker 2: are becoming MAGA. No, there was never any evidence of that.

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Speaker 2: But they were all pissed off at their own party's

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Speaker 2: leadership as much as they are with the Democratic Party's leadership.

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Speaker 2: So we're witnessing this emergent Latino populism that is going

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Speaker 2: to upend both parties' establishment wings. That does not mean

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Speaker 2: that going left is going to be a better solution

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Speaker 2: to get Latinos back because that is quantifiably not true.

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Speaker 1: No, no question. And I want you to talk about

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Speaker 1: like the report. I mean, there was Washington Post had

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Speaker 1: a big deep dive piece on voters at the border

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Speaker 1: in Texas. voted for Trump because there were migrants coming

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Speaker 1: over the border who were banging on their windows and

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Speaker 1: they felt scared. And look, that was by design. Republicans

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Speaker 1: did not fund judges. They did not fund the infrastructure

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Speaker 1: needed to make sure that people got their hearings immediately.

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Speaker 1: And so you ended up with a group that ended up,

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Speaker 1: you know, it just ended up being very chaotic. That

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Speaker 1: is over now for now anyway. And so these voters

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Speaker 1: are now back to why is gas so expensive? But

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Speaker 1: like there was a real failure on the part of

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Speaker 1: the Democrats to address immigration. And that was how these vote.

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Speaker 1: They lost these voters.

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Speaker 2: Yeah, and I'm glad you said that.

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Speaker 1: At least according to these voters.

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Speaker 2: Look, a lot of this had to do, and look,

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Speaker 2: I wrote a piece in the New York Times when

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Speaker 2: Biden was president saying you better get this, you got

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Speaker 2: to fire your professional Latinos in your democratic operations because

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Speaker 2: they're telling you that open borders policy is what Latinos want.

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Speaker 2: That has never been the case. And the reality is

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Speaker 2: both parties rely on the extreme understandings of who Latinos are.

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Speaker 2: Democrats will make that mistake, and they did. Republicans respond

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Speaker 2: by saying, see, Latinos want mass deportations and crackdowns, and

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Speaker 2: they want this crazy racist terrorist campaign. Of course, neither

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Speaker 2: of those are true. You know what Latinos want? They

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Speaker 2: want a secure border policy and a pathway to citizenship.

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Speaker 2: That's what 80% of Americans want. Why can't we just

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Speaker 2: get back to common sense here instead of speaking to

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Speaker 2: these extreme racially polarized bases? And that's what I think

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Speaker 2: ultimately comes out of this, because this roller coaster, I

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Speaker 2: think the Democrats are going to figure it out. I'm

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Speaker 2: beginning to see the signs that they've learned their lessons.

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Speaker 2: There are some extreme voices popping back up again saying, see,

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Speaker 2: We told you so, and Latinos have figured it out.

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Speaker 2: But that discounts the fact that 10 years, Molly, 10

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Speaker 2: years Latinos have been shifting away from the Democratic Party.

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Speaker 2: This didn't just happen in 2024. So getting back to

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Speaker 2: a more blue collar working class politics, that doesn't mean moderate,

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Speaker 2: by the way. It doesn't mean left. It means just

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Speaker 2: having solutions that don't fit neatly into the blue and

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Speaker 2: left columns is the way to do this. It's a

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Speaker 2: great opportunity to rethink our politics.

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Speaker 1: So it is this blue dog Bernie, Bernie blue dogs, right?

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Speaker 6: Yeah.

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Speaker 3: I love that.

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Speaker 2: I'm going to steal that from you.

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Speaker 1: Well, it's a real phenomenon, and it is. There are

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Speaker 1: candidates like Bob Brooks in Pennsylvania who were both endorsed

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Speaker 1: by Blue Dogs and Bernie Sanders.

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Speaker 2: Yeah, same as Randy Villegas down in Bakersfield. But look,

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Speaker 2: the mistake I don't want people to make is the

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Speaker 2: natural inclination is to lean into the Bernie or the

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Speaker 2: Blue Dogs. The same dynamic is what Republicans were facing

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Speaker 2: when they were marching up and down the street saying, see,

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Speaker 2: there's a racial realignment. Latinos finally figured it out. They're

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Speaker 2: all MAGA. They loved MAGA two years ago. The same

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Speaker 2: elation that Democrats are starting to experience and voice is

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Speaker 2: the same mistake Republicans made two years ago. And I

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Speaker 2: was saying, there's no evidence saying that these people are

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Speaker 2: becoming more MAGA or more Trump-like or even more Republican.

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Speaker 2: They're just really pissed at the price of food and

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Speaker 2: gas and inflation, and they're going to leave Biden and Harris.

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Speaker 2: That's what's going on right here. This has nothing to

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Speaker 2: do with what the Democratic Party is doing, because the

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Speaker 2: Democratic Party hasn't done anything essential in two years, except

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Speaker 2: not be Republican. And that's the second chance that they've

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Speaker 2: been given, and I just hope they don't screw it up.

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Speaker 1: Yeah. And I do think also being able like what

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Speaker 1: we see in Texas with these candidates who are good

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Speaker 1: at connecting with Latino voters. I think Bobby Polito is

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Speaker 1: a really good example of this. And also is that

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Speaker 1: we there is a real sense that. you can connect

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Speaker 1: with these voters on the core issues and sort of

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Speaker 1: get in there. Now, if Democrats win the House and

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Speaker 1: the Senate, I mean, we'll see what happens. But do

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Speaker 1: you think, talk to me about what's happening with Ruben Gallego.

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Speaker 1: He sort of sees an opening here, right?

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Speaker 2: Oh, Senator, the Democrats, I think, win the House for sure.

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Speaker 2: And I also think they get up to about 52

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Speaker 2: in the Senate side. So that is going to, and

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Speaker 2: I do believe that they're going to win Texas. This

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Speaker 2: all changes the narrative for Democrats entirely.

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Speaker 1: For 28, too.

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Speaker 2: For 28, that's what I mean. For the 270 map

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Speaker 2: changes in its entirety. Ruben Gallego, you know, I wrote

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Speaker 2: a whole chapter on him and what he's doing in

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Speaker 2: his book because he is, look, he started as a

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Speaker 2: member of the House Progressive Caucus. He's now very centrist.

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Speaker 2: He wins a purple state. There's a lot of these

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Speaker 2: Gallego Trump voters. I called them Trump Gallego voters. He

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Speaker 2: corrected me on a panel saying, no, they're Gallego Trump voters.

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Speaker 1: That is a crazy thing. I mean, he's one of

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Speaker 1: the very few senators.

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Speaker 2: He spent a lot of time in South Texas and

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Speaker 2: Colorado and a lot of these marginal seats where these

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Speaker 2: Latino voters are going to be pivotal in the outcome

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Speaker 2: of these races. He's been working them very hard. These

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Speaker 2: are the new blue collar working class Democrats that are

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Speaker 2: needed by the party to get into contention. See, Molly,

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Speaker 2: there's been this weird obsession for like 20 years that

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Speaker 2: somehow the Democrats were going to win back white, blue collar,

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Speaker 2: rust belt voters in the blue wall states. They're not

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Speaker 2: going to win them back in a meaningful way. There

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Speaker 2: may be aberration years, and this may be one of

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Speaker 2: those where Vivek Ramaswamy is going to lose. in Ohio

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Speaker 2: because there's going to be a defection. But they're going

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Speaker 2: to go right back to being Republican in a couple

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Speaker 2: of years. The future of the Democratic Party is not

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Speaker 2: in the blue wall Rust Belt states. This is not 1988.

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Speaker 2: The future is in the Southwest. That's why they're in

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Speaker 2: the Sun Belt. That's why North Carolina is easily Democratic.

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Speaker 2: That's why Ossoff is commanding in Georgia. That's why Mississippi

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Speaker 2: is becoming contentious. That's why Texas stands a very good

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Speaker 2: chance of going blue. That's why Nevada stands a good

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Speaker 2: chance of going blue. Arizona with Gallego is locking down.

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Speaker 2: That's the way to be looking at the new 270 map.

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Speaker 2: It's the Sunbelt is the future because of Latino blue

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Speaker 2: collar workers. You're not going to win back those East Pennsylvania, Ohio, Michigan,

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Speaker 2: Minnesota voters in any meaningful way. They've already realigned. They

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Speaker 2: realigned 15 years ago. quit trying to get them back.

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Speaker 2: But there's this sort of East Coast, D.C. mentality that

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Speaker 2: this is what the fight looks like. Those voters are gone.

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Speaker 1: Yeah. So interesting. Mike Madrid, will you come back?

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Speaker 2: I will come back anytime you call.

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Speaker 3: You know that. Hi, it's time for the headlines. The

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Speaker 3: apple of your eye, RFK Jr.

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Speaker 7: He said some In a cycle where we're seeing unprecedented

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Speaker 7: levels of Islamophobia, he said some of the nastiest things

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Speaker 7: about Muslims.

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Speaker 4: I've seen 500 million actions.

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Speaker 3: Arabs in the world.

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Speaker 4: And yet they don't produce science. They don't win the

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Speaker 4: Nobel Prize. They don't win the field prize. They don't

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Speaker 4: win the Wolf Prize. They don't produce literature. They used

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Speaker 4: to produce. They were the first to make books.

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Speaker 6: And they.

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Speaker 6: 13th century typical Muslim princes have books in their libraries

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Speaker 6: that existed in all of Europe. Oh, and all of

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Speaker 6: that tradition has been destroyed by the Muslim Brotherhood.

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Speaker 4: They've created stagnant societies that do one, two things, hatred

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Speaker 4: and war and victimization.

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Speaker 1: RFK Jr., who is ruining our public health apparatus at

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Speaker 1: this moment, he is very mad at Muslims. And why

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Speaker 1: is he mad at Muslims? Because Republicans really don't want Dr.

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Speaker 1: Al-Said to win in Michigan. That's the truth.

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Speaker 7: And so I think it's also their caravan. I know

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Speaker 7: you've been searching for your caravan, Molly.

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Speaker 1: Yeah. So this was something from like the group text

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Speaker 1: chain with his other far right white nationalists. And so

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Speaker 1: he was like, yes, let's go for this. And, you know,

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Speaker 1: of course, it is totally stupid and does not. Of course,

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Speaker 1: the people in the Muslim world have won Nobel Prizes

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Speaker 1: in chemistry and writing and math. It's just ridiculous. I mean,

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Speaker 1: but it's also like they're just trying anything they can

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Speaker 1: to try and get Americans divided because they know they

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Speaker 1: are terrible at governing. After Democrats are done impeaching Whiskey Pete,

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Speaker 1: I hope they will turn their eye to RFK Jr.

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Speaker 1: because that guy is, A, doing terrible stuff to our

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Speaker 1: public health, B, a complete and utter moron, and C,

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Speaker 1: you know, he is keeping D.C. from being safe for

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Speaker 1: the rest of us, spending all his time tanning and

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Speaker 1: chewing tobacco.

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Speaker 7: You know, I will say this is he's one of

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Speaker 7: our foremost people who comments on things he doesn't know about.

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Speaker 7: There's one thing he has a lot of experience with

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Speaker 7: is helping the decline around along and him commenting on

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Speaker 7: people declining. At least he knows something about that because

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Speaker 7: he's really doing it.

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Speaker 1: Well, I have to tell you, the thing I dislike

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Speaker 1: even more than him is he is his wife. cheryl

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Speaker 1: hines and her appearances on fox news because that is

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Speaker 1: just that feels like just i mean it feels like

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Speaker 1: the carrot.

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Speaker 3: I i'm not familiar can you tell me what happens

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Speaker 3: on those.

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Speaker 1: Cheryl hines goes on fox news and what does she

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Speaker 1: say though be a pundit she says pundity things because

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Speaker 1: she's so intelligent she's known for her intelligence i don't

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Speaker 1: know if you know this uh i.

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Speaker 7: I so i've heard i'm glad i've missed that in

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Speaker 7: my timeline um so now we move away from um

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Speaker 7: your least favorite person in the administration to my least

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Speaker 7: favorite member of Congress, Mr.

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Speaker 3: Randy Fine from Florida.

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Speaker 7: He's not ruling out deporting Elon and Melania.

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Speaker 1: So why this is important is because because we always

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Speaker 1: like Randy finds a backbench or whatever. Why is he important?

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Speaker 1: He's important because this is the part of MAGA that

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Speaker 1: is going to when the MAGA civil war happens, when

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Speaker 1: they start to freak out after Trump loses after this,

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Speaker 1: you know, if he loses the way we think Republicans

434
00:23:25,350 --> 00:23:27,929
Speaker 1: are going to lose, the House, the Senate, MAGA is

435
00:23:27,970 --> 00:23:32,800
Speaker 1: going to start freaking out. And part of MAGA is very, very,

436
00:23:32,960 --> 00:23:36,919
Speaker 1: very nationalist, very, very, very racist. And these are the

437
00:23:36,960 --> 00:23:42,200
Speaker 1: people who want to deport Ilhan Omar, but they also

438
00:23:42,280 --> 00:23:46,730
Speaker 1: want to deport Elon Musk and Melania Trump, because they

439
00:23:46,770 --> 00:23:51,410
Speaker 1: are the people for whom anything that seems different whether

440
00:23:51,470 --> 00:23:57,030
Speaker 1: it be being European, being South African, being, you know,

441
00:23:57,170 --> 00:24:01,850
Speaker 1: someone who is intellectual in any way, not that these

442
00:24:01,890 --> 00:24:04,730
Speaker 1: two are, but the point is, like, this is the

443
00:24:04,780 --> 00:24:09,320
Speaker 1: sort of lowest common denominator stuff. And I think we'll

444
00:24:09,359 --> 00:24:12,139
Speaker 1: probably see a lot of this. And also, he is

445
00:24:12,200 --> 00:24:14,600
Speaker 1: a big dummy. I believe we should go back to

446
00:24:14,600 --> 00:24:18,399
Speaker 1: 1990 and we should reevaluate everyone who has become a

447
00:24:18,460 --> 00:24:24,580
Speaker 1: naturalized citizen. Why 1990? No one knows. Because what I

448
00:24:24,619 --> 00:24:27,500
Speaker 1: am understanding is that is the kind of fraud we're

449
00:24:27,640 --> 00:24:32,399
Speaker 1: hearing about from Ilhan Omar is endemic in Minnesota. Now, remember,

450
00:24:32,420 --> 00:24:35,990
Speaker 1: Ilhan Omar, this all of this happened when she was

451
00:24:36,050 --> 00:24:40,590
Speaker 1: a child and her father is dead. So I'm not

452
00:24:40,650 --> 00:24:44,050
Speaker 1: entirely sure how that would work. And then Randy Fine

453
00:24:44,130 --> 00:24:49,500
Speaker 1: said that she was married to her brother. which is

454
00:24:49,540 --> 00:24:50,720
Speaker 1: something I love to say.

455
00:24:51,140 --> 00:24:54,660
Speaker 3: Yeah, it's funny. 1990, that was when there was this guy, Bush,

456
00:24:54,740 --> 00:24:57,459
Speaker 3: who was president, the senior. Was he messing with the

457
00:24:57,480 --> 00:24:59,100
Speaker 3: immigration system at all?

458
00:24:59,140 --> 00:25:01,760
Speaker 1: Yes, clearly.

459
00:25:02,100 --> 00:25:03,340
Speaker 7: It's almost like he had to make this up on

460
00:25:03,359 --> 00:25:05,420
Speaker 7: the spot when he got called out on his hypocrisy.

461
00:25:05,720 --> 00:25:09,460
Speaker 1: Yeah, yeah. I mean, I just think this is so stupid.

462
00:25:09,740 --> 00:25:11,830
Speaker 1: There's a real racism at the core of a lot

463
00:25:11,869 --> 00:25:15,790
Speaker 1: of this. And as once MAGA's in the wilderness, which

464
00:25:15,850 --> 00:25:18,760
Speaker 1: it seems like they will be, There's going to be

465
00:25:18,940 --> 00:25:23,050
Speaker 1: a real kind of even worse than come to Jesus moment.

466
00:25:23,530 --> 00:25:24,450
Speaker 3: Yes.

467
00:25:24,790 --> 00:25:28,250
Speaker 7: So Don Jr., you know, a man who cycles through

468
00:25:28,290 --> 00:25:29,859
Speaker 7: buddies a lot. I think about what he had his

469
00:25:29,890 --> 00:25:36,939
Speaker 7: buddy period with Dave Portnoy, his buddy period with various CEOs. And,

470
00:25:36,960 --> 00:25:39,700
Speaker 7: you know, Kimberly Guilfoyle, what his former buddy.

471
00:25:40,109 --> 00:25:41,580
Speaker 1: Donald Trump didn't know her.

472
00:25:42,010 --> 00:25:45,070
Speaker 7: I mean, you could see him not concerning himself much

473
00:25:45,130 --> 00:25:48,790
Speaker 7: with Junior and his doings. Anyway, he has a new buddy.

474
00:25:49,150 --> 00:25:51,510
Speaker 7: They're a Russian oligarch and they go hunting in foreign

475
00:25:51,550 --> 00:25:52,210
Speaker 7: countries together.

476
00:25:52,730 --> 00:25:58,300
Speaker 1: So this is the same Russian oligarch, Umar Kremlev, who

477
00:25:59,600 --> 00:26:01,100
Speaker 1: paid for Donald Trump Jr.

478
00:26:01,100 --> 00:26:01,580
Speaker 3: 's wedding.

479
00:26:01,840 --> 00:26:05,740
Speaker 1: OK, though Bettina says he only paid for the parties

480
00:26:06,040 --> 00:26:06,920
Speaker 1: after the wedding.

481
00:26:07,340 --> 00:26:08,380
Speaker 3: Yes, big difference.

482
00:26:09,100 --> 00:26:13,980
Speaker 1: Yeah, he was very, very generous. Why was he so generous?

483
00:26:14,240 --> 00:26:20,060
Speaker 1: It's a good question. So he went hunting with Kremlin.

484
00:26:20,420 --> 00:26:25,140
Speaker 1: I think what's the most important thing about this moment?

485
00:26:25,220 --> 00:26:29,179
Speaker 1: And so this Mongolian meeting came after Kremlin attended and

486
00:26:29,220 --> 00:26:33,379
Speaker 1: paid for some of Donald Trump's wedding celebration on a

487
00:26:33,440 --> 00:26:38,020
Speaker 1: private Caribbean island in May. That was reported by ProPublica.

488
00:26:39,000 --> 00:26:42,460
Speaker 1: Trump says his son has repaid Kremlin. Do you think

489
00:26:43,060 --> 00:26:47,379
Speaker 1: Donald Trump's son has paid Kremlin? But I want to

490
00:26:47,520 --> 00:26:51,439
Speaker 1: go here for a minute because I just want to

491
00:26:51,480 --> 00:26:56,550
Speaker 1: talk about one other important thing about this. So we

492
00:26:56,670 --> 00:26:59,449
Speaker 1: see in public records and social media posts that they

493
00:26:59,470 --> 00:27:03,610
Speaker 1: were together and that Donald Trump killed a some kind

494
00:27:03,650 --> 00:27:06,590
Speaker 1: of rare person. I don't know, some kind of rare animal.

495
00:27:06,650 --> 00:27:09,100
Speaker 7: Well, he has a history of killing rare animals and

496
00:27:09,440 --> 00:27:11,210
Speaker 7: showing off in the pictures just like a.

497
00:27:11,480 --> 00:27:14,060
Speaker 1: Yeah. But the thing that I think is the most

498
00:27:14,140 --> 00:27:18,159
Speaker 1: important thing about this whole story is a local on

499
00:27:18,180 --> 00:27:22,190
Speaker 1: the trip told FT that Don Jr. and Kremlev were

500
00:27:22,290 --> 00:27:26,490
Speaker 1: cautious about being photographed together while in Don Jr. 's camp.

501
00:27:27,590 --> 00:27:32,129
Speaker 1: And I think that is why this story is important.

502
00:27:32,430 --> 00:27:33,430
Speaker 1: Do you see what I'm saying?

503
00:27:33,530 --> 00:27:36,030
Speaker 7: Well, this is one of the few times Trump capitulated. Like,

504
00:27:36,130 --> 00:27:38,159
Speaker 7: usually they just do the never sorry thing. And this

505
00:27:38,200 --> 00:27:40,480
Speaker 7: was one of the few times he's like, well, you know,

506
00:27:40,540 --> 00:27:42,860
Speaker 7: you shouldn't have done that.

507
00:27:43,300 --> 00:27:47,750
Speaker 1: But it's also more than that. It's that, like, they know...

508
00:27:48,190 --> 00:27:49,190
Speaker 1: That this is bad.

509
00:27:49,210 --> 00:27:49,730
Speaker 4: Yeah.

510
00:27:49,790 --> 00:27:53,690
Speaker 1: Like they know. And the fact that and like Don Jr.

511
00:27:53,750 --> 00:27:57,490
Speaker 1: not wanting to be photographed means there's culpability there.

512
00:27:57,570 --> 00:27:58,370
Speaker 3: Yeah. Yeah.

513
00:27:58,470 --> 00:28:00,910
Speaker 7: I mean, I think we probably don't even know all

514
00:28:00,970 --> 00:28:03,610
Speaker 7: the dirty ties here. And I think they squirm because

515
00:28:03,630 --> 00:28:06,390
Speaker 7: they're a little worried about what happens when the dots

516
00:28:06,430 --> 00:28:07,010
Speaker 7: get connected.

517
00:28:07,030 --> 00:28:07,869
Speaker 6: Yeah.

518
00:28:07,970 --> 00:28:10,430
Speaker 1: I mean, I think also there's there's clearly a lot

519
00:28:10,450 --> 00:28:21,790
Speaker 1: going on here. Congressman Chris Delizio. represents Pennsylvania's 17th District. Welcome, welcome,

520
00:28:22,090 --> 00:28:23,670
Speaker 1: Representative DiLuzio.

521
00:28:23,690 --> 00:28:25,929
Speaker 5: Hey, Molly. Thanks for having me on.

522
00:28:26,090 --> 00:28:28,230
Speaker 1: Great to have you. So you are in the state

523
00:28:28,280 --> 00:28:34,840
Speaker 1: of Pennsylvania, which is ground zero for flipping seats to

524
00:28:34,960 --> 00:28:40,480
Speaker 1: show off. And let's talk about, so you have this

525
00:28:40,540 --> 00:28:45,400
Speaker 1: very popular governor, Governor Shapiro. He's not even running against anyone.

526
00:28:45,710 --> 00:28:47,310
Speaker 5: You know, it feels that way. Like, I got to

527
00:28:47,330 --> 00:28:51,330
Speaker 5: tell you, I district competitive southwestern corner of the state.

528
00:28:51,870 --> 00:28:53,870
Speaker 5: I've been all over the other congressional districts all over

529
00:28:53,930 --> 00:28:57,430
Speaker 5: the state. The Republicans are just they're not showing up.

530
00:28:57,990 --> 00:29:02,310
Speaker 5: And the statewide stuff with their candidate, Garrity, I mean,

531
00:29:02,330 --> 00:29:05,130
Speaker 5: they've abandoned her. It seems like they're demoralized. They don't

532
00:29:05,150 --> 00:29:07,440
Speaker 5: have reasons to show up. Josh is going to crush her.

533
00:29:07,980 --> 00:29:08,420
Speaker 1: Yeah.

534
00:29:08,660 --> 00:29:12,200
Speaker 5: Look like we have four congressional races on the battleground.

535
00:29:12,240 --> 00:29:15,070
Speaker 5: I've been to all those districts. Like, I would rather

536
00:29:15,110 --> 00:29:16,990
Speaker 5: be us than the other guys going into next week.

537
00:29:17,210 --> 00:29:21,490
Speaker 1: I haven't seen the early voting for you guys. Nevada

538
00:29:21,710 --> 00:29:29,590
Speaker 1: is like a D plus 20,000, 24,000 vote banking ahead

539
00:29:30,230 --> 00:29:34,970
Speaker 1: as of yesterday. Texas, too. Do you guys have those

540
00:29:34,990 --> 00:29:36,390
Speaker 1: kind of numbers in early voting?

541
00:29:36,890 --> 00:29:39,750
Speaker 5: Yeah. So for us, it's mail voting and it varies

542
00:29:39,790 --> 00:29:42,870
Speaker 5: by county. Some counties have drop sites. Some, you know,

543
00:29:42,890 --> 00:29:44,970
Speaker 5: maybe the courthouse, you can take it in. You can

544
00:29:45,020 --> 00:29:47,340
Speaker 5: always mail them in. And so it's a little different

545
00:29:47,360 --> 00:29:48,120
Speaker 5: for us, but still.

546
00:29:48,140 --> 00:29:50,020
Speaker 1: Right, because you haven't seen them. Yeah.

547
00:29:50,040 --> 00:29:53,000
Speaker 5: Like the return rates, you know, are north of like

548
00:29:53,000 --> 00:29:57,500
Speaker 5: 70 plus percent. And Dems are returning these ballots at...

549
00:29:58,030 --> 00:30:01,070
Speaker 5: way higher numbers than Republicans. Like in my district alone,

550
00:30:01,690 --> 00:30:05,540
Speaker 5: I think we have banked a net like 35,000 vote

551
00:30:05,740 --> 00:30:08,860
Speaker 5: lead already. And we're seeing that play out all over

552
00:30:08,900 --> 00:30:12,560
Speaker 5: the Commonwealth. So Dems are winning at turnout right now. But,

553
00:30:13,020 --> 00:30:15,010
Speaker 5: you know, lots of votes still to be cast.

554
00:30:15,610 --> 00:30:19,190
Speaker 1: Yeah. So let's talk about these four seats you want

555
00:30:19,210 --> 00:30:23,110
Speaker 1: to flip. There are three that Democrats are way ahead

556
00:30:23,270 --> 00:30:27,520
Speaker 1: or at least within the margins and one that's even, right?

557
00:30:27,930 --> 00:30:30,489
Speaker 5: Yeah, so we'll take them. We'll take them in order

558
00:30:30,510 --> 00:30:34,080
Speaker 5: of the districts. The first district, which is really Bucks County,

559
00:30:34,100 --> 00:30:36,660
Speaker 5: a little bit of Montgomery, that's Bob Harvey's our candidate.

560
00:30:37,280 --> 00:30:41,500
Speaker 5: Brian Fitzpatrick's the Republican. I mean, this is like quintessential battleground.

561
00:30:41,820 --> 00:30:44,700
Speaker 5: You got an incumbent who's been there a while. Shapiro's

562
00:30:44,720 --> 00:30:47,140
Speaker 5: going to crush in this district. Bob Harvey, I think,

563
00:30:47,180 --> 00:30:50,850
Speaker 5: can win this thing. You got in the 7th. Bob Brooks,

564
00:30:51,230 --> 00:30:52,430
Speaker 5: union firefighter.

565
00:30:52,550 --> 00:30:53,810
Speaker 1: He's been on this podcast.

566
00:30:53,850 --> 00:30:56,730
Speaker 5: Yeah. I just was out with him. We were on

567
00:30:56,850 --> 00:31:00,490
Speaker 5: Spanish language radio in Allentown, majority Latino district. I think

568
00:31:00,510 --> 00:31:02,900
Speaker 5: you're going to see big swings back toward Dems there.

569
00:31:03,280 --> 00:31:03,600
Speaker 3: Yeah.

570
00:31:03,760 --> 00:31:07,040
Speaker 5: Up in Scranton, Northeastern PA, Paige Cognetti. She's the mayor

571
00:31:07,060 --> 00:31:08,900
Speaker 5: there in the eighth district.

572
00:31:09,300 --> 00:31:10,420
Speaker 1: We've had her on too.

573
00:31:10,500 --> 00:31:10,760
Speaker 2: Yeah.

574
00:31:10,820 --> 00:31:14,100
Speaker 5: Paige is great. Great recruit. And then the 10th, Janelle

575
00:31:14,120 --> 00:31:17,630
Speaker 5: Stelson around Harrisburg running against Scott Perry, who's one of

576
00:31:17,650 --> 00:31:20,660
Speaker 5: these guys who like, you know, was involved in lying

577
00:31:20,680 --> 00:31:23,830
Speaker 5: about the 2020 election and all this crazy stuff. So

578
00:31:24,090 --> 00:31:26,570
Speaker 5: those are the four. I mean, the polling is all

579
00:31:26,710 --> 00:31:29,370
Speaker 5: either we're a little bit ahead or it's tied or

580
00:31:29,410 --> 00:31:31,420
Speaker 5: we're inching ahead. Like, I think we can win all

581
00:31:31,460 --> 00:31:31,900
Speaker 5: these races.

582
00:31:32,140 --> 00:31:35,390
Speaker 1: OK, so if you guys pick up four seats, it

583
00:31:35,430 --> 00:31:40,190
Speaker 1: will show that Governor Shapiro has superpowers. And who knows

584
00:31:40,270 --> 00:31:41,450
Speaker 1: what that will mean for 2020?

585
00:31:41,450 --> 00:31:42,200
Speaker 3: Who knows?

586
00:31:42,460 --> 00:31:46,340
Speaker 1: Certainly not I. So let's talk about what you guys

587
00:31:46,360 --> 00:31:49,340
Speaker 1: will do if you win the House. Voters, I think,

588
00:31:49,440 --> 00:31:51,330
Speaker 1: and you probably have seen this because you've been out

589
00:31:51,890 --> 00:31:56,000
Speaker 1: in the... Voters are very, very mad and they are

590
00:31:56,040 --> 00:32:00,160
Speaker 1: mad at Republicans, but they are also quite pissed at Dems.

591
00:32:00,180 --> 00:32:05,060
Speaker 1: And they, you know, what we see certainly from If

592
00:32:05,340 --> 00:32:06,840
Speaker 1: this is going to go the way we think it will,

593
00:32:07,340 --> 00:32:10,940
Speaker 1: the voters who went with Trump are now back with Dems.

594
00:32:11,480 --> 00:32:14,500
Speaker 1: But you rent these voters. You do not own them.

595
00:32:14,660 --> 00:32:19,260
Speaker 1: So what you guys will maybe control the House, maybe

596
00:32:19,300 --> 00:32:21,480
Speaker 1: the Senate, but you will not have the presidency and

597
00:32:21,520 --> 00:32:25,940
Speaker 1: you will have a very obstructionist, you know, Russ Vaught

598
00:32:26,240 --> 00:32:29,770
Speaker 1: has been at basically a war with Congress about appropriations.

599
00:32:30,240 --> 00:32:34,070
Speaker 1: this entire time. So it's going to be really hairy.

600
00:32:34,110 --> 00:32:36,690
Speaker 1: So what can you deliver for the American people?

601
00:32:36,710 --> 00:32:38,730
Speaker 5: Well, we should deliver everything we can. And I think

602
00:32:38,810 --> 00:32:41,890
Speaker 5: people are pissed off at how expensive life is. Let's

603
00:32:41,930 --> 00:32:44,310
Speaker 5: start with that basic thing. I hear it everywhere. I

604
00:32:44,430 --> 00:32:46,390
Speaker 5: see it in every poll. That's what people are mad about.

605
00:32:46,430 --> 00:32:49,590
Speaker 5: I just had town halls. It's clear to me. I

606
00:32:49,630 --> 00:32:52,790
Speaker 5: think the Republicans know this. Democrats know this. So what

607
00:32:52,850 --> 00:32:54,670
Speaker 5: we can do right out the gate, to me, is

608
00:32:54,690 --> 00:32:56,580
Speaker 5: number one, we try to put a responsible end to

609
00:32:56,600 --> 00:32:59,720
Speaker 5: the Iran war. We we have control if we take

610
00:32:59,760 --> 00:33:02,910
Speaker 5: control of the Congress, whether that's a war powers resolution

611
00:33:03,010 --> 00:33:07,190
Speaker 5: or the appropriations power, we should put an immediate responsible

612
00:33:07,210 --> 00:33:10,190
Speaker 5: stop to this thing, which will bring relief on gas

613
00:33:10,270 --> 00:33:13,810
Speaker 5: and diesel and fertilizer. I think we roll back these

614
00:33:13,830 --> 00:33:16,430
Speaker 5: health care cuts that are going to wreck not just

615
00:33:16,760 --> 00:33:20,959
Speaker 5: people who are going to lose care directly, but nursing homes, hospitals,

616
00:33:21,020 --> 00:33:24,580
Speaker 5: you name it. There's some report that five hospitals in

617
00:33:24,600 --> 00:33:27,260
Speaker 5: Western Pennsylvania, my part of the world, could close because

618
00:33:27,280 --> 00:33:29,490
Speaker 5: of these Medicaid cuts. And I think we do everything

619
00:33:29,510 --> 00:33:31,490
Speaker 5: we can to pull back the tariff authority that Trump

620
00:33:31,550 --> 00:33:35,270
Speaker 5: has abused, which, again, has made life more expensive. So

621
00:33:35,390 --> 00:33:39,050
Speaker 5: that's just the basic direct stuff that we can do

622
00:33:39,110 --> 00:33:41,040
Speaker 5: out the gate that I think all Democrats agree on.

623
00:33:41,100 --> 00:33:44,140
Speaker 5: But we got a lot to do on oversight into

624
00:33:44,180 --> 00:33:46,140
Speaker 5: this corruption that has cost all.

625
00:33:46,020 --> 00:33:46,540
Speaker 3: Of us money.

626
00:33:47,200 --> 00:33:49,460
Speaker 5: If you steal from the public, it makes life expensive

627
00:33:49,500 --> 00:33:52,920
Speaker 5: for people. We have oversight into the war. And we

628
00:33:52,940 --> 00:33:56,480
Speaker 5: ought to be passing affirmative bills that demonstrate who the

629
00:33:56,520 --> 00:33:59,880
Speaker 5: hell we're fighting for, the American people and the corrupt

630
00:33:59,920 --> 00:34:02,050
Speaker 5: and powerful that have ripped people off and made life

631
00:34:02,070 --> 00:34:05,050
Speaker 5: more expensive. Like we should pass bills. And if Donald

632
00:34:05,070 --> 00:34:07,630
Speaker 5: Trump wants to veto those bills, that's at his peril.

633
00:34:07,810 --> 00:34:10,010
Speaker 5: And we're showing what we will do if we're trusted

634
00:34:10,070 --> 00:34:11,310
Speaker 5: with governing in twenty twenty eight.

635
00:34:11,739 --> 00:34:16,580
Speaker 1: I want to just get back to this for a minute. Tariffs.

636
00:34:17,020 --> 00:34:19,980
Speaker 1: So the Supreme Court has ruled they're unconstitutional. Donald Trump

637
00:34:20,000 --> 00:34:24,669
Speaker 1: has used a different way to put them on. What

638
00:34:24,790 --> 00:34:28,330
Speaker 1: can you do as a legislative body to shut down

639
00:34:28,370 --> 00:34:28,870
Speaker 1: the tariffs?

640
00:34:29,130 --> 00:34:32,210
Speaker 5: Look, he's abused this power. And like, Molly, you know this.

641
00:34:32,230 --> 00:34:35,060
Speaker 5: I represent like steel country. I think there's a place where, hey,

642
00:34:35,540 --> 00:34:39,440
Speaker 5: country and sector specific, you're breaking the rules. There are consequences.

643
00:34:39,480 --> 00:34:42,440
Speaker 5: This guy's abused the power. Go back to the Constitution.

644
00:34:42,660 --> 00:34:46,100
Speaker 5: The power to set tariffs is with the Congress. And

645
00:34:46,140 --> 00:34:47,990
Speaker 5: if the president's abusing that power, we ought to take

646
00:34:48,030 --> 00:34:50,549
Speaker 5: it back and be crystal clear about what he can

647
00:34:50,570 --> 00:34:54,230
Speaker 5: and can't do. And if there are authorities he's abusing,

648
00:34:54,370 --> 00:34:56,730
Speaker 5: we should constrain those authorities and change them and take

649
00:34:56,750 --> 00:34:58,950
Speaker 5: them away if we have to. Like, I don't think

650
00:34:58,989 --> 00:35:00,580
Speaker 5: this is a place for the Congress to be timid

651
00:35:00,620 --> 00:35:03,100
Speaker 5: or weak in the face of Donald Trump abusing our

652
00:35:03,160 --> 00:35:06,360
Speaker 5: system because it is, number one, made life a hell

653
00:35:06,380 --> 00:35:09,360
Speaker 5: of a lot more expensive for people, hurt farmers and

654
00:35:09,420 --> 00:35:12,319
Speaker 5: manufacturers and others. And we're pushing our allies away. Like

655
00:35:12,340 --> 00:35:14,140
Speaker 5: the Canadians are falling right into the arms of the

656
00:35:14,160 --> 00:35:18,460
Speaker 5: Chinese who are our principal economic foe globally. So this

657
00:35:18,480 --> 00:35:21,859
Speaker 5: stuff is damaging. It's a place where the Congress should

658
00:35:21,880 --> 00:35:23,710
Speaker 5: take back the reins and stand up for the American

659
00:35:23,730 --> 00:35:25,930
Speaker 5: people and say, sorry, this is an authority you no

660
00:35:25,969 --> 00:35:28,589
Speaker 5: longer have. You can't abuse this. We'll see you in court.

661
00:35:29,030 --> 00:35:33,230
Speaker 1: Okay. So if you do that and you sue, you

662
00:35:33,270 --> 00:35:34,069
Speaker 1: would sue him?

663
00:35:34,550 --> 00:35:36,900
Speaker 5: Well, look, we would take away, if there are authorities

664
00:35:37,480 --> 00:35:40,000
Speaker 5: that he is abusing, You pointed to the fact that

665
00:35:40,020 --> 00:35:43,610
Speaker 5: Supreme Court said, hey, you were levying tariffs the way

666
00:35:43,620 --> 00:35:45,690
Speaker 5: you did inconsistent with the law. Now he's pointing to

667
00:35:45,730 --> 00:35:48,230
Speaker 5: a different law. We should reform that law if we

668
00:35:48,270 --> 00:35:50,330
Speaker 5: have to. We should just take away the thing that

669
00:35:50,370 --> 00:35:52,729
Speaker 5: he is abusing. And if he wants to go try

670
00:35:52,790 --> 00:35:54,989
Speaker 5: and challenge the constitutionality of it, go ahead. He can

671
00:35:55,030 --> 00:35:57,170
Speaker 5: run the court. But I think we have that power

672
00:35:57,190 --> 00:35:57,610
Speaker 5: and we should use it.

673
00:35:57,610 --> 00:35:59,259
Speaker 1: So you could take it to the Supreme Court and

674
00:35:59,300 --> 00:36:04,920
Speaker 1: get them to knock it down again. And then maybe

675
00:36:06,360 --> 00:36:08,040
Speaker 1: he'll follow the law that time.

676
00:36:08,450 --> 00:36:10,650
Speaker 5: Well, I think, look, before you're even there in the courts,

677
00:36:11,510 --> 00:36:13,680
Speaker 5: we can change the law. We're the Congress. Now, look,

678
00:36:13,719 --> 00:36:16,439
Speaker 5: he wants to go veto things. That's a different argument.

679
00:36:16,460 --> 00:36:18,399
Speaker 5: But I think we can muster majorities to do this.

680
00:36:19,560 --> 00:36:21,200
Speaker 5: I hope we have the Senate to be candid. I

681
00:36:21,219 --> 00:36:23,200
Speaker 5: hope we have enough votes in the Senate that we're

682
00:36:23,239 --> 00:36:25,620
Speaker 5: not worried about the senior senator from Pennsylvania.

683
00:36:26,100 --> 00:36:26,640
Speaker 3: But I.

684
00:36:28,100 --> 00:36:30,219
Speaker 5: Think we ought to be changing the laws if he's

685
00:36:30,260 --> 00:36:32,819
Speaker 5: abusing them rather than just waiting for litigation to play out.

686
00:36:33,160 --> 00:36:37,160
Speaker 1: So let's talk about the senior senator from Pennsylvania.

687
00:36:37,180 --> 00:36:37,259
Speaker 6: Yeah.

688
00:36:37,680 --> 00:36:39,300
Speaker 5: I don't give any questions about this, Molly.

689
00:36:39,820 --> 00:36:44,529
Speaker 1: I don't have any questions about this. So Pennsylvania, shit's

690
00:36:44,550 --> 00:36:45,830
Speaker 1: gone down in Pennsylvania.

691
00:36:45,930 --> 00:36:46,149
Speaker 3: Yeah.

692
00:36:46,489 --> 00:36:53,500
Speaker 1: So tell me what you think in 2028, John Fetterman

693
00:36:53,660 --> 00:37:00,120
Speaker 1: will be up for reelection. He is going to be gory.

694
00:37:01,219 --> 00:37:02,890
Speaker 1: What do you think? Do you have anything you want

695
00:37:02,910 --> 00:37:03,430
Speaker 1: to announce?

696
00:37:04,110 --> 00:37:06,650
Speaker 5: I have nothing to announce other than this guy has

697
00:37:06,670 --> 00:37:09,850
Speaker 5: been a big distraction for us trying to win the midterms. Look,

698
00:37:09,910 --> 00:37:11,930
Speaker 5: I'm getting a lot of encouragement to run. We'll see.

699
00:37:11,989 --> 00:37:15,109
Speaker 5: I'm thinking about it. But I'm pissed the way most

700
00:37:15,170 --> 00:37:17,900
Speaker 5: Democrats and people in Pennsylvania are because this guy seems

701
00:37:17,940 --> 00:37:21,279
Speaker 5: to have lost or never had, I don't know, a

702
00:37:21,320 --> 00:37:23,719
Speaker 5: sense of duty, right? Like you got to show up

703
00:37:23,760 --> 00:37:24,360
Speaker 5: and do the job.

704
00:37:24,400 --> 00:37:24,979
Speaker 3: You have to vote.

705
00:37:25,020 --> 00:37:28,020
Speaker 5: You got to do public events. I had three town

706
00:37:28,060 --> 00:37:30,820
Speaker 5: halls in October, which is three more than any of

707
00:37:30,840 --> 00:37:35,180
Speaker 5: these senators have done in Pennsylvania. So as I say,

708
00:37:35,200 --> 00:37:39,330
Speaker 5: that's a problem for after this election. But I don't know.

709
00:37:39,350 --> 00:37:42,590
Speaker 5: I can read the polls. Something like almost 80 percent

710
00:37:42,610 --> 00:37:45,189
Speaker 5: of Democrats in Pennsylvania don't approve of the job he's done.

711
00:37:45,630 --> 00:37:51,640
Speaker 1: So let's talk about you are on armed services. We

712
00:37:51,820 --> 00:37:55,919
Speaker 1: are in a war that nobody has told me why

713
00:37:55,960 --> 00:37:56,400
Speaker 1: we're in.

714
00:37:56,420 --> 00:37:57,320
Speaker 3: Yeah.

715
00:37:58,320 --> 00:38:02,580
Speaker 1: That I guess is because Donald Trump is, I don't

716
00:38:02,620 --> 00:38:05,100
Speaker 1: even know why we're in this war. I mean, because

717
00:38:05,180 --> 00:38:09,560
Speaker 1: maybe someday Iran might get a nuclear weapon and so

718
00:38:09,620 --> 00:38:14,180
Speaker 1: we have to make sure they close the straits. How

719
00:38:14,500 --> 00:38:15,759
Speaker 1: do you get us out of this war?

720
00:38:16,160 --> 00:38:19,500
Speaker 5: Look, number one, I can't invent a time machine to

721
00:38:19,520 --> 00:38:21,560
Speaker 5: make Donald Trump not have done this in the first place,

722
00:38:21,660 --> 00:38:23,600
Speaker 5: which is just, it's insane. We're all paying for the

723
00:38:23,640 --> 00:38:27,009
Speaker 5: consequences of this. You have 21 Americans by last measure

724
00:38:27,530 --> 00:38:30,900
Speaker 5: We've lost their lives. I mean, schoolchildren over there, the

725
00:38:30,940 --> 00:38:33,239
Speaker 5: billions we're all paying. I mean, this thing has been disastrous.

726
00:38:33,880 --> 00:38:35,840
Speaker 5: And I was like, I should say this because sometimes

727
00:38:35,860 --> 00:38:39,320
Speaker 5: we forget. Trump administration also canceled all these clean energy

728
00:38:39,340 --> 00:38:43,089
Speaker 5: projects before they started a war that shocked oil markets.

729
00:38:43,530 --> 00:38:46,110
Speaker 5: Like it's crazy, crazy stuff. So we should put an

730
00:38:46,150 --> 00:38:48,650
Speaker 5: end to this. You know, we should in the Congress,

731
00:38:48,730 --> 00:38:52,990
Speaker 5: whether it's war powers resolutions or the appropriations to force

732
00:38:53,670 --> 00:38:56,840
Speaker 5: the government, whether it's Trump administration, of course, the Pentagon

733
00:38:56,860 --> 00:39:00,470
Speaker 5: to to go and responsibly get out of this. He's

734
00:39:00,489 --> 00:39:03,900
Speaker 5: got to clean up this mess. And the reasons that

735
00:39:03,920 --> 00:39:06,380
Speaker 5: you shouldn't have rushed into this are just so obvious.

736
00:39:06,900 --> 00:39:08,899
Speaker 5: Number one, they didn't seem to plan that the Strait

737
00:39:08,940 --> 00:39:11,060
Speaker 5: of Hormuz would close. I sailed through the Strait of

738
00:39:11,080 --> 00:39:13,920
Speaker 5: Hormuz as a naval officer. Of course, the Iranians would

739
00:39:14,000 --> 00:39:16,870
Speaker 5: use this leverage if they had to. They didn't seem

740
00:39:16,910 --> 00:39:19,690
Speaker 5: to plan for moving aircraft carriers in and out of

741
00:39:19,730 --> 00:39:22,570
Speaker 5: this region. They didn't seem to plan for getting military

742
00:39:22,610 --> 00:39:26,060
Speaker 5: families out of bases like Bahrain, who were targets of

743
00:39:26,120 --> 00:39:28,469
Speaker 5: strikes by the Iranians. They didn't seem to plan for

744
00:39:28,510 --> 00:39:30,410
Speaker 5: force protection of our troops in the region. I mean,

745
00:39:31,080 --> 00:39:33,980
Speaker 5: all of this is just so predictable and yet disastrous.

746
00:39:34,560 --> 00:39:36,420
Speaker 5: So we in the Congress should take back the reins.

747
00:39:36,880 --> 00:39:39,560
Speaker 5: We should use the funding power to force our government

748
00:39:39,600 --> 00:39:41,819
Speaker 5: to negotiate a way out of this war responsibly.

749
00:39:42,340 --> 00:39:45,460
Speaker 1: And one of the reasons that Congress is home right

750
00:39:45,520 --> 00:39:49,580
Speaker 1: now The reason that Speaker Johnson sent you guys home

751
00:39:49,760 --> 00:39:58,000
Speaker 1: in the first place was because Thomas Massey and company

752
00:39:58,020 --> 00:40:03,370
Speaker 1: were planning to impeach Whiskey Pete. So let's talk about

753
00:40:03,410 --> 00:40:06,990
Speaker 1: that for a minute. That seems like it could happen

754
00:40:07,030 --> 00:40:07,950
Speaker 1: in the lame duck.

755
00:40:08,310 --> 00:40:09,350
Speaker 2: Maybe. Look.

756
00:40:09,750 --> 00:40:12,560
Speaker 5: You said it. Mike Johnson canceled votes. I think they

757
00:40:12,600 --> 00:40:15,180
Speaker 5: were nervous they were going to lose Republicans. There are

758
00:40:15,200 --> 00:40:18,420
Speaker 5: at least, by my count, four in the Congress who

759
00:40:18,460 --> 00:40:21,300
Speaker 5: have said he should go as secretary, that Pete Hegseth

760
00:40:21,320 --> 00:40:24,070
Speaker 5: has failed. I imagine there are more who think that

761
00:40:24,300 --> 00:40:26,270
Speaker 5: if they've got to face a vote. So I think

762
00:40:26,830 --> 00:40:28,489
Speaker 5: I can't speak for whether Thomas Massey is going to

763
00:40:28,530 --> 00:40:31,010
Speaker 5: continue to push this thing, but it tells you something.

764
00:40:31,050 --> 00:40:32,930
Speaker 5: They were so scared of it, they canceled votes. And

765
00:40:32,989 --> 00:40:35,850
Speaker 5: I've said for a while, Pete Hegseth should go. Donald

766
00:40:35,870 --> 00:40:37,740
Speaker 5: Trump should have fired this guy a long time ago.

767
00:40:38,410 --> 00:40:41,750
Speaker 5: He seems to be the main voice in the Trump cabinet,

768
00:40:42,270 --> 00:40:44,990
Speaker 5: cheerleading and pushing this war that is going to cost,

769
00:40:45,090 --> 00:40:47,649
Speaker 5: I think, Donald Trump and his party the midterms, among

770
00:40:47,690 --> 00:40:50,440
Speaker 5: other things. But this war has been disastrous. The American

771
00:40:50,480 --> 00:40:52,700
Speaker 5: people do not want it. And the fact that you

772
00:40:52,739 --> 00:40:55,180
Speaker 5: even got Republicans in the Congress who can see that

773
00:40:55,200 --> 00:40:59,549
Speaker 5: Pete Hegseth has wrecked senior morale at the Pentagon. He's

774
00:40:59,620 --> 00:41:02,350
Speaker 5: pushed out officers who have done a good job, who

775
00:41:02,390 --> 00:41:07,200
Speaker 5: have good records. Because of what perceived lack of loyalty politically.

776
00:41:07,219 --> 00:41:09,380
Speaker 1: Also because they're ladies or black.

777
00:41:10,060 --> 00:41:11,719
Speaker 5: And one of those may end up being a member

778
00:41:11,739 --> 00:41:15,430
Speaker 5: of Congress, Nancy LaCour in South Carolina, who was an

779
00:41:15,570 --> 00:41:19,770
Speaker 5: admiral who served honorably by all accounts. And he fired

780
00:41:19,790 --> 00:41:21,950
Speaker 5: her for I don't know what reason he could have

781
00:41:21,969 --> 00:41:22,170
Speaker 5: done it.

782
00:41:22,430 --> 00:41:24,400
Speaker 1: I want you to game this out for me because

783
00:41:24,640 --> 00:41:28,140
Speaker 1: I am like very interested in the machinations here. What

784
00:41:28,180 --> 00:41:32,060
Speaker 1: would happen in Congress? So you would have Thomas Massey.

785
00:41:32,420 --> 00:41:34,040
Speaker 1: Tell us exactly how it would go.

786
00:41:34,100 --> 00:41:36,640
Speaker 5: Yeah, he I mean, he put up already and the

787
00:41:36,680 --> 00:41:40,339
Speaker 5: way he had the motion or the measure privileged the

788
00:41:40,420 --> 00:41:42,870
Speaker 5: force of vote. It's it's articles of impeachment. You can

789
00:41:42,930 --> 00:41:44,969
Speaker 5: read the various charges, which is kind of like a

790
00:41:45,030 --> 00:41:47,870
Speaker 5: charging document. And so if the House were to impeach

791
00:41:48,590 --> 00:41:51,950
Speaker 5: Pete Hegseth, essentially it's it's a charge. that the Senate

792
00:41:51,989 --> 00:41:54,069
Speaker 5: has to go have a trial. That's a two-thirds vote

793
00:41:54,090 --> 00:41:56,680
Speaker 5: to convict, which is a very high bar. And I

794
00:41:56,700 --> 00:41:59,259
Speaker 5: don't know, maybe they would meet it. It's a little

795
00:41:59,300 --> 00:42:02,279
Speaker 5: bit frank to be candid. It's why I sometimes think

796
00:42:02,340 --> 00:42:05,799
Speaker 5: about impeachment and like, well, it didn't work out the

797
00:42:05,840 --> 00:42:09,180
Speaker 5: last time. And Donald Trump has, I think, done conduct

798
00:42:09,219 --> 00:42:13,719
Speaker 5: that is impeachable. But there's a practical consideration, and I'm

799
00:42:13,760 --> 00:42:16,549
Speaker 5: not prejudging it, of will this be effective? Will this

800
00:42:16,950 --> 00:42:19,530
Speaker 5: put a stop to the abuse of power? And that's

801
00:42:19,570 --> 00:42:20,770
Speaker 5: a fair question to ask.

802
00:42:21,520 --> 00:42:24,980
Speaker 1: So one of the arguments for impeaching someone like Pete

803
00:42:25,260 --> 00:42:29,399
Speaker 1: versus impeaching someone like Trump is that Trump only has

804
00:42:29,460 --> 00:42:34,359
Speaker 1: a certain level of pain tolerance. And if you like

805
00:42:34,400 --> 00:42:37,620
Speaker 1: what we've seen with him is that if you really

806
00:42:37,660 --> 00:42:41,129
Speaker 1: screw up, a lot of times Trump will just cut

807
00:42:41,170 --> 00:42:44,739
Speaker 1: you loose. So you could see a world where. Congress,

808
00:42:45,460 --> 00:42:50,540
Speaker 1: the House votes to impeach. You start a Senate trial

809
00:42:50,700 --> 00:42:53,480
Speaker 1: and Trump just fires him, right? I mean, isn't that

810
00:42:53,500 --> 00:42:54,880
Speaker 1: the best case scenario there?

811
00:42:54,940 --> 00:42:55,260
Speaker 7: Maybe.

812
00:42:55,780 --> 00:42:58,200
Speaker 5: And look, relatedly, I think we're going to win the

813
00:42:58,239 --> 00:43:01,120
Speaker 5: midterms next week. I think Donald Trump's grip on these

814
00:43:01,160 --> 00:43:04,060
Speaker 5: Republican politicians will start to loosen. If not, my God,

815
00:43:04,100 --> 00:43:06,560
Speaker 5: how pathetic are these folks? They'll just continue to do

816
00:43:06,580 --> 00:43:09,339
Speaker 5: whatever he says. But I got to think they can

817
00:43:09,380 --> 00:43:11,920
Speaker 5: see the writing on the wall. I mean, how unpopular

818
00:43:11,980 --> 00:43:15,310
Speaker 5: the president is. You know, they're not even talking about

819
00:43:15,330 --> 00:43:17,290
Speaker 5: them in any of their ads anymore. Like they know.

820
00:43:17,310 --> 00:43:19,770
Speaker 5: And so, you know, they got to wake up if

821
00:43:19,810 --> 00:43:23,330
Speaker 5: they're going to try to survive politically. But this guy

822
00:43:23,370 --> 00:43:24,549
Speaker 5: hanging around their neck is a weight.

823
00:43:25,770 --> 00:43:31,620
Speaker 1: When you look at this cycle, at the midterm, at

824
00:43:31,660 --> 00:43:36,060
Speaker 1: this sort of the races that you're watching, where are

825
00:43:36,100 --> 00:43:39,880
Speaker 1: you seeing the drag of Trump the most? I mean,

826
00:43:41,120 --> 00:43:43,740
Speaker 1: what are you seeing sort of on the ground?

827
00:43:44,260 --> 00:43:47,029
Speaker 5: Look, we could do any of these races in Pennsylvania.

828
00:43:47,090 --> 00:43:49,989
Speaker 5: I mean, we mentioned the four congressional districts. You know,

829
00:43:50,030 --> 00:43:53,870
Speaker 5: he won, I think, three of them. And yet, you know,

830
00:43:53,890 --> 00:43:56,070
Speaker 5: the polling is pretty clear how unpopular he is in

831
00:43:56,090 --> 00:43:58,540
Speaker 5: these districts. I don't see any of those Republican candidates

832
00:43:59,020 --> 00:44:02,219
Speaker 5: inviting him into campaign, putting him in their ads, none

833
00:44:02,260 --> 00:44:06,799
Speaker 5: of it. A very different picture for those folks than 2024.

834
00:44:06,800 --> 00:44:09,910
Speaker 5: So you can see it. And again, the behavior of

835
00:44:10,010 --> 00:44:12,750
Speaker 5: vulnerable Republicans tells you a lot about how they see

836
00:44:12,770 --> 00:44:15,920
Speaker 5: the president. They don't want him around. And, you know,

837
00:44:16,380 --> 00:44:20,420
Speaker 5: I thought he didn't like that when Republicans behave that way.

838
00:44:20,920 --> 00:44:25,469
Speaker 1: Yeah, it is. It's a totally fascinating moment. Talk to

839
00:44:25,489 --> 00:44:28,270
Speaker 1: me about oversight. So a lot of the job now

840
00:44:28,330 --> 00:44:33,279
Speaker 1: is going to be oversight. So like things like the ballroom,

841
00:44:33,360 --> 00:44:40,090
Speaker 1: the reflecting pools, the clawing money back from certain projects,

842
00:44:40,250 --> 00:44:44,990
Speaker 1: from FEMA. What can you guys do there?

843
00:44:45,430 --> 00:44:48,310
Speaker 5: Look, for me, yes, I'm on the Armed Services Committee.

844
00:44:48,430 --> 00:44:54,070
Speaker 5: So my top oversight focus is this war, the lack of, frankly,

845
00:44:54,130 --> 00:44:57,029
Speaker 5: respect for military families, the places where our troops were

846
00:44:57,219 --> 00:45:02,549
Speaker 5: left without adequate protection, the just disastrous decision that got

847
00:45:02,590 --> 00:45:05,979
Speaker 5: to this war, that's where my work will focus on oversight.

848
00:45:06,060 --> 00:45:07,759
Speaker 5: I think we owe that to our troops. I mean,

849
00:45:07,780 --> 00:45:11,160
Speaker 5: the reporting last week out of what happened in Bahrain,

850
00:45:11,260 --> 00:45:14,739
Speaker 5: the big naval base there, which seemingly blown the hell

851
00:45:14,860 --> 00:45:19,020
Speaker 5: up and really, really damaged. And you had military families

852
00:45:19,160 --> 00:45:22,390
Speaker 5: left there, not only just left there, but in their,

853
00:45:22,830 --> 00:45:25,590
Speaker 5: you know, weeks of trying to get out of the region,

854
00:45:26,989 --> 00:45:29,750
Speaker 5: disrupting their lives. You've got reports that they're draining their

855
00:45:29,790 --> 00:45:32,870
Speaker 5: savings and there's been disruption to maybe kids schooling even.

856
00:45:32,890 --> 00:45:36,489
Speaker 5: This is the basic stuff you're supposed to plan for

857
00:45:37,140 --> 00:45:39,540
Speaker 5: before you go launch a war. And so there's a

858
00:45:39,580 --> 00:45:41,160
Speaker 5: lot of oversight we got to do about this war.

859
00:45:41,300 --> 00:45:44,360
Speaker 5: And Pete Hexeth is going to own accountability for a

860
00:45:44,560 --> 00:45:45,419
Speaker 5: lot of this in my book.

861
00:45:46,100 --> 00:45:50,739
Speaker 1: When you subpoena people and they don't come, what are

862
00:45:50,760 --> 00:45:53,660
Speaker 1: you going to do? Like, they're going to obstruct in

863
00:45:53,840 --> 00:45:57,189
Speaker 1: any which way. So what are your possible, like how

864
00:45:57,390 --> 00:45:59,570
Speaker 1: open are you to pushing this?

865
00:45:59,890 --> 00:46:01,750
Speaker 5: Yeah, we should stand up for the American people and

866
00:46:01,790 --> 00:46:04,770
Speaker 5: assert Congress's role here. Nobody gets to blow off the

867
00:46:04,810 --> 00:46:07,170
Speaker 5: elected branch of government. We have the power to hold

868
00:46:07,190 --> 00:46:09,630
Speaker 5: people in contempt. You have the power of the purse

869
00:46:09,710 --> 00:46:13,529
Speaker 5: for offices and agencies and departments that don't comply. This

870
00:46:13,570 --> 00:46:15,859
Speaker 5: is public money. We have a responsibility to be good

871
00:46:15,900 --> 00:46:17,819
Speaker 5: stewards of it. And I don't think the Congress should

872
00:46:17,840 --> 00:46:19,779
Speaker 5: be weak in the face of these people in the

873
00:46:19,800 --> 00:46:22,480
Speaker 5: Trump administration, not for a single second in my book.

874
00:46:22,700 --> 00:46:25,299
Speaker 1: Thank you. Thank you. Thanks for joining us.

875
00:46:25,680 --> 00:46:31,160
Speaker 5: Thank you, Molly. And now your moment of suffering.

876
00:46:31,260 --> 00:46:32,340
Speaker 1: Jesse Cannon.

877
00:46:32,880 --> 00:46:33,780
Speaker 3: Molly, join fast.

878
00:46:33,840 --> 00:46:37,760
Speaker 7: So when we first saw the Boston Dynamic robot dogs,

879
00:46:38,860 --> 00:46:40,279
Speaker 7: I don't know about you, but I was like, oh,

880
00:46:40,320 --> 00:46:42,520
Speaker 7: this is going to be awful when they start using

881
00:46:42,540 --> 00:46:45,820
Speaker 7: this to police all of us and have a dog

882
00:46:45,840 --> 00:46:49,259
Speaker 7: that we can't fight back against. Apparently, the employees didn't

883
00:46:49,280 --> 00:46:51,319
Speaker 7: see that since now that they've heard ICE plans to

884
00:46:51,360 --> 00:46:55,779
Speaker 7: buy the robot dogs to use against protesters. They're getting

885
00:46:55,800 --> 00:46:56,460
Speaker 7: a little freaked out.

886
00:46:57,000 --> 00:47:00,660
Speaker 1: Hundreds of employees at the company. Right. So these aren't

887
00:47:00,700 --> 00:47:04,390
Speaker 1: even they signed a petition calling for executives to halt

888
00:47:04,410 --> 00:47:08,850
Speaker 1: a sale of the company's robot dogs to ICE. This is,

889
00:47:09,010 --> 00:47:14,950
Speaker 1: ICE is so unpopular, they can't even buy robot dogs, okay? Like,

890
00:47:15,390 --> 00:47:19,290
Speaker 1: we are at a moment here when Boston Dynamics, which

891
00:47:19,370 --> 00:47:23,899
Speaker 1: is basically a defense, for lack of a better word,

892
00:47:23,980 --> 00:47:29,960
Speaker 1: a defense contractor, says, no, you mustn't sell this to ICE, okay? Like,

893
00:47:30,910 --> 00:47:33,970
Speaker 1: I want you to think about that for a minute, right?

894
00:47:33,989 --> 00:47:39,100
Speaker 1: I mean, they make the dogs. The dogs are created

895
00:47:39,219 --> 00:47:40,140
Speaker 1: to hurt people.

896
00:47:40,160 --> 00:47:40,560
Speaker 3: Yes.

897
00:47:40,620 --> 00:47:44,520
Speaker 1: But the people who work in the company that makes

898
00:47:44,580 --> 00:47:47,320
Speaker 1: the dogs are like, no, you cannot sell.

899
00:47:47,180 --> 00:47:48,020
Speaker 3: These dogs to ICE.

900
00:47:48,660 --> 00:47:52,719
Speaker 1: Okay. Like we are at North Korea level popularity in

901
00:47:52,760 --> 00:47:54,300
Speaker 1: this country at this moment.

902
00:47:54,920 --> 00:47:57,270
Speaker 7: Uh, You know, one of my favorite YouTubes of all

903
00:47:57,310 --> 00:48:01,230
Speaker 7: time is Michael Reeves, who's an inventor, modifies things, and

904
00:48:01,310 --> 00:48:03,670
Speaker 7: he made one of these dogs so that whenever he

905
00:48:03,710 --> 00:48:06,370
Speaker 7: put a cup down, he would put a keg on

906
00:48:06,390 --> 00:48:08,270
Speaker 7: the back. It would fill the liquid with whatever he

907
00:48:08,730 --> 00:48:10,529
Speaker 7: put in the liquid. He was like, this is the

908
00:48:10,590 --> 00:48:12,279
Speaker 7: use for the dog. Clearly, this is what people are

909
00:48:12,300 --> 00:48:15,060
Speaker 7: going to be using it for, not to beat up protesters.

910
00:48:15,600 --> 00:48:17,140
Speaker 1: I mean, they're not even going to be able to

911
00:48:17,180 --> 00:48:21,560
Speaker 1: buy it. I just think the fact that they're not

912
00:48:22,620 --> 00:48:25,200
Speaker 1: even going to be able to sell the scary robot

913
00:48:25,239 --> 00:48:31,090
Speaker 1: dogs is a sign that really, like, we are in

914
00:48:31,230 --> 00:48:34,870
Speaker 1: so much trouble just, like, in this sort of, I almost,

915
00:48:34,930 --> 00:48:37,560
Speaker 1: I want to say, like, in the PR wars, but

916
00:48:37,600 --> 00:48:40,340
Speaker 1: that's not really the right word, but we are in

917
00:48:41,020 --> 00:48:45,219
Speaker 1: like the country that we are, the reputation that we

918
00:48:45,320 --> 00:48:49,799
Speaker 1: have now. And that comes from everything from ice to

919
00:48:50,160 --> 00:48:51,529
Speaker 1: what Trump has.

920
00:48:52,030 --> 00:48:52,290
Speaker 6: Yeah.

921
00:48:52,670 --> 00:48:57,370
Speaker 1: Everything. everything that Donald Trump has done has just been

922
00:48:58,130 --> 00:49:01,779
Speaker 1: so wildly unpopular. I think we're going to reap what

923
00:49:01,860 --> 00:49:04,920
Speaker 1: we have sown here for a long, long time. That's

924
00:49:05,120 --> 00:49:12,299
Speaker 1: it for this episode of Fast Politics. Tune in every Monday, Wednesday, Thursday,

925
00:49:12,510 --> 00:49:16,390
Speaker 1: and Saturday to hear the best minds in politics make

926
00:49:16,489 --> 00:49:19,969
Speaker 1: sense of all this chaos. If you enjoy this podcast,

927
00:49:20,920 --> 00:49:24,340
Speaker 1: please send it to a friend and keep the conversation going.

928
00:49:24,739 --> 00:49:25,860
Speaker 1: Thanks for listening.