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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 will talk to Blake Gindembian about his

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Speaker 1: run for New York's 21st congressional district. But first, we

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Speaker 1: have psycho politics on George Conway about Trump's fake economic success. Hello. Hi. Welcome,

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Speaker 1: George Conway.

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Speaker 2: I'm glad to be here as always.

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Speaker 1: The economy is a lie. Disgust. What do you mean

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Speaker 1: the economy is alive?

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Speaker 2: We don't have the greatest economy in the history of

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Speaker 2: the world?

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Speaker 1: Well, we do for Donald Trump and for his kids.

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Speaker 2: It's a great economy for Donald Trump and for his kids.

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Speaker 2: I mean, you know, I mean.

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Speaker 1: But we're seeing some of these job revision numbers and

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Speaker 1: we're seeing some of this data back and forth. And

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Speaker 1: it seems as if we're getting this sort of Trump

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Speaker 1: effect here where we're not getting the... Full story. And

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Speaker 1: maybe things are slowing down.

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Speaker 3: A little bit.

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Speaker 4: Yeah.

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Speaker 2: I mean, I saw that there was a downward revision

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Speaker 2: in jobs numbers for 2025, which was an extraordinary downgrade.

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Speaker 2: But I'm just surprised that a Sharpie didn't fix it all.

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Speaker 2: I'm shocked. And then I saw something today where it

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Speaker 2: basically said that a sixth, one sixth of American households,

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Speaker 2: I don't know if I have this right.

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Speaker 1: I saw that too.

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Speaker 2: Are behind on their utility bills. Yes. That's a That's

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Speaker 2: a frightening number. And that that's something, you know, that

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Speaker 2: that really is something that hits its people. Oh, they

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Speaker 2: can't pay for their electric bills. That's that's something that's

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Speaker 2: going to get people very upset. So, yeah, I think,

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Speaker 2: you know, Trump's denials that the he's caused economic pain

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Speaker 2: to Americans are not going to hold water.

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Speaker 1: So part of what I think has happened is that

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Speaker 1: heating oil is very expensive. It's twice the price that

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Speaker 1: it was last year because Donald Trump did war in Iran,

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Speaker 1: even though everyone said not to.

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Speaker 2: Right.

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Speaker 1: And the only person who admitted how it really happened

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Speaker 1: is probably Marco Rubio, who said that Donald Trump got

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Speaker 1: tricked into it.

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Speaker 2: And as I understand, diesel prices and heating oil are

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Speaker 2: kind of related.

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Speaker 1: The same.

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Speaker 2: Similar. They're similar to some extent chemically. And diesel prices

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Speaker 2: have spiked considerably. And I think heating oil is expected,

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Speaker 2: you know, particularly when the demand goes up in the winter,

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Speaker 2: is expected to do the same. It hasn't already.

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Speaker 1: And, you know, I talked to the guy who's running

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Speaker 1: in New York 21, Blake, and he was talking about

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Speaker 1: how it's cold already there. And I interviewed the guy

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Speaker 1: who was running for Maine 2nd District, who also said

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Speaker 1: the same, that they're using heating oil now.

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Speaker 2: I mean, it gets cold everywhere in Maine. I live

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Speaker 2: the year in Maine. But way up there, they need

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Speaker 2: their heating oil. And upstate New York. Same thing.

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Speaker 3: Is this 20?

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Speaker 2: Is that the Stefanik district?

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Speaker 1: Yeah, that's the Stefanik district. He's a great candidate, too.

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Speaker 1: He's a farmer. But so let's just talk about let's

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Speaker 1: just talk about the economic pressures, because that is really

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Speaker 1: what's setting the table for this midterms. Right. People can't

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Speaker 1: afford to fill up their car with gas. They can't

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Speaker 1: afford to keep their house. They can't afford to survive.

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Speaker 1: And you have Donald Trump. uh, talking about gold ballrooms

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Speaker 1: and reflecting pools and laser focused on renaming bodies of water.

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Speaker 2: Yeah. And talking about how expensive cheeseburgers are or something

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Speaker 2: at Mar-a-Lago. Yeah. I mean, he's just totally, and saying

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Speaker 2: that affordability is a hoax. I think that, you know,

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Speaker 2: I mean, the number one issue it seems to be

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Speaker 2: now has become corruption. And, um, The reason why people

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Speaker 2: are focused on the corruption is because they're focused on

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Speaker 2: the fact that, wait a minute, all these people are

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Speaker 2: getting rich and I have to pay this for my

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Speaker 2: gasoline and for my heating oil and for groceries. And

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Speaker 2: it really is having an impact. And it sort of

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Speaker 2: reminds me, I keep talking about it, but it reminds

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Speaker 2: me a little bit of what I think happened in

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Speaker 2: Hungary or what I've been told happened in Hungary. What

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Speaker 2: Magyar did there was to connect.

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Speaker 2: The people's economic well-being to the corruption that they could see.

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Speaker 2: And I think people, you know, if everything were going

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Speaker 2: great guns, I think people would be a little more

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Speaker 2: tolerant of the corruption. Right. It's just sort of inside baseball.

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Speaker 2: But it's just staring them in the face now. And

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Speaker 2: I think people are really looking into saying, well, why

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Speaker 2: is this guy talking about this stuff? Why is he

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Speaker 2: so worried about gold-plating things in the White House and

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Speaker 2: gold-plating monuments in D.C. and outfitting his... Qatari 747. And,

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Speaker 2: you know, what about this crypto? And it's all starting

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Speaker 2: to kind of filter through that. Some people are doing very,

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Speaker 2: very well and they have a lot of connections to

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Speaker 2: Trump and everybody else doesn't seem to be doing as well.

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Speaker 1: But the revisions, just for this idea that the economy

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Speaker 1: is alive for a moment, these 2025 revisions, which now

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Speaker 1: show not that the hiring numbers are way down from

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Speaker 1: what they were originally, I've asked Justin Wolfers about this before,

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Speaker 1: like whether or not Trump World is able to fudge

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Speaker 1: the data. And he still thinks no. Do you think

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Speaker 1: that they're able to get in there and fudge the data?

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Speaker 2: Because it's Trump World. I don't profess to know anything

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Speaker 2: about how these economic numbers are, what the process are.

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Speaker 2: I do understand that it's a very complex process. And

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Speaker 2: if Justin says that, you know, they don't really have

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Speaker 2: the capacity to do it. Because remember- You know, they're

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Speaker 2: evil and nefarious and they're malintentioned, but they're incompetent.

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Speaker 5: Right.

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Speaker 2: And there's a whole process here. And there are always

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Speaker 2: adjustments to these numbers because it's just when they issue

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Speaker 2: these numbers, they issue them on the basis of the

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Speaker 2: data they have. And then more data comes in and

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Speaker 2: more retrospective data. And so they do adjust them over time.

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Speaker 2: So I don't know that there's a, you know, I

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Speaker 2: would think that if.

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Speaker 2: They were being corrupt, these numbers would not have changed.

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Speaker 2: So I think there's just a limit to the amount

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Speaker 2: of control that they have over these numbers. And if

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Speaker 2: they ever tried to mess with those numbers too much,

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Speaker 2: just guessing here, speculating, using my suspicious antennae as a lawyer,

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Speaker 2: somebody would, you know, leak it to the Washington Post,

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Speaker 2: the New York Times, the Wall Street Journal, and then

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Speaker 2: there would be a huge hullabaloo.

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Speaker 1: Speaking of leaking, the president's son-in-law, you may know him

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Speaker 1: as Jared Kushner, bringing peace to the Middle East, but

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Speaker 1: also somebody is doing the leaking.

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Speaker 2: Yeah, no, and this is something I think that's fascinating

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Speaker 2: about this era of Trumpism, which I think we're on

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Speaker 2: finally on the backside.

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Speaker 1: So here's Right.

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Speaker 2: Be careful about using the backside. You know, he's talking

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Speaker 2: about backsides. I don't mean that kind of backside.

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Speaker 1: But this is a new book, Prince and Thieves, Jared

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Speaker 1: Kushner and Mohammed bin Salman's secret plan to remake the

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Speaker 1: Middle East. The author reveals that Kushner oversaw roughly $ 2

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Speaker 1: billion in secret foreign bank accounts filled by Saudis and Emiratis. Um, and,

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Speaker 1: and there, and there's hacking and there's, it's, it's everything. Right. Yeah.

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Speaker 2: I mean, I, let me, let me take a step

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Speaker 2: back to your first question, which is leaking. I do

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Speaker 2: think we're seeing these people start to leak on each other.

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Speaker 2: I mean, we see that with the, you know, first

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Speaker 2: there's the story about Alina Haba complaining about, uh, what's

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Speaker 2: his name? The, the former ambassador to Germany.

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Speaker 1: Rick Grinnell.

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Speaker 2: Rick Grinnell. Was it Germany or NR? He was more.

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Speaker 1: Famously from the Kennedy Center.

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Speaker 2: Right. And then and the next thing that happens is

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Speaker 2: that there's a there's a story about Alina Mildon. That's

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Speaker 2: her name now. Alina Haba Mildon.

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Speaker 4: Right.

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Speaker 2: Receiving some incredible sum, possibly in connection with an attempt

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Speaker 2: to get a partner for some billionaire in some foreign billionaire.

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Speaker 2: $ 15 million.

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Speaker 3: Yeah.

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Speaker 2: It just seems like that, that the knives are out

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Speaker 2: and people are starting to point fingers at each other,

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Speaker 2: which is something that happens. I think, um, you know,

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Speaker 2: these people don't necessarily all like each other. They don't

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Speaker 2: necessarily play well together. They do play well together because

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Speaker 2: they're afraid of the bottom. You saw, you all saw

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Speaker 2: also that whole thing with, with, um, Trump's pollster and

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Speaker 2: somebody else making all this money in Republica Scripsa. And

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Speaker 2: then now they're giving the money to Bosnia-Herzegovina.

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Speaker 5: Yeah.

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Speaker 2: And now they're giving the money to the to the

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Speaker 2: Trump library. So the boss always gets his taste. You're

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Speaker 2: starting to see kind of this kind of discipline breakdown. Now,

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Speaker 2: I said the book, the new book that's coming out

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Speaker 2: on Tuesday about Jared. I don't know whether that falls

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Speaker 2: in the same category because it seems to be it

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Speaker 2: seems to be a long story. From the description of

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Speaker 2: it that appeared in, or the excerpt that appeared in

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Speaker 2: Vanity Fair appears to be a long-term investigation that began

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Speaker 2: with a tip in 2020 where this guy heard that

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Speaker 2: there was some crazy story about, seemingly crazy story about

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Speaker 2: these foreign slush funds. And it began supposedly with the GRU,

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Speaker 2: Russian intelligence, Russian intelligence agent getting flipped by Dutch military

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Speaker 2: intelligence in London and turning over secrets that included screenshots

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Speaker 2: from Jared's iPhone that reflected supposedly transactions you know, that

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Speaker 2: he's the signatory of a bank account in Dubai and

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Speaker 2: all sorts of crazy, where the money was coming from

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Speaker 2: London to Azerbaijan. It's just an incredible story. And Jared

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Speaker 2: Kushner has denied it all. His lawyers are threatening people,

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Speaker 2: they threaten people, They released the letters that they sent

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Speaker 2: to Simon & Schuster, whose imprint published this book. And

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Speaker 2: what struck me about that letter is the letters and

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Speaker 2: the correspondences. They responded to lots of specific questions from

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Speaker 2: the journalist who wrote the book with very broad denials.

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Speaker 2: And what strikes me is basically it's all made up.

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Speaker 2: There are no bank accounts. We don't know anything about

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Speaker 2: the bank accounts. Jared had nothing to do with it.

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Speaker 2: What strikes me about that, when I see somebody with

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Speaker 2: particularized detail.

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Speaker 5: And then general denials, I kind of scratch my head

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Speaker 5: and I'm thinking, if just a.

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Speaker 2: Small fraction of these allegations have some weight to them,

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Speaker 2: it's still a big scandal. So I think you just

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Speaker 2: have to stay tuned and see what happens here with that.

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Speaker 2: And I think, you know, in terms of like people

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Speaker 2: ratting each other out, it could be. And again, I

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Speaker 2: don't I haven't read the book. I've only read the excerpt.

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Speaker 2: It could be that there are foreign intelligence agencies. And

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Speaker 2: I don't mean this isn't really a conspiracy theory because

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Speaker 2: we do know foreign intelligence agencies, you know, just like

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Speaker 2: the U.S. intelligence agencies, you know, even allied or foreign

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Speaker 2: enemies of ours or adversaries of ours. They're always listening

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Speaker 2: in on everybody else. I mean, that's what they do.

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Speaker 4: Right.

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Speaker 2: And it's hard to imagine that they don't have something

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Speaker 2: on somebody. And it's hard to imagine that as Trump

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Speaker 2: becomes weaker, some of that stuff doesn't get unloaded.

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Speaker 1: Yeah.

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Speaker 2: And again, you know, it's not Jared Kushner. I'm going

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Speaker 2: to say I'm not going to opine on the merits

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Speaker 2: of these allegations because I want to read the book

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Speaker 2: and I want to see what comes out after it.

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Speaker 2: But Jared Kushner, I think it's fair to say, does

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Speaker 2: not have the greatest reputation for honesty and integrity in

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Speaker 2: the United States of America or in the world. So

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Speaker 2: that's point one. And point two is I'm old enough

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Speaker 2: to remember when Jared Kushner thought during a presidential transition,

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Speaker 2: thought it was a good idea to conduct secure communications

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Speaker 2: from the Russian embassy on Wisconsin Avenue in D.C.

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Speaker 1: All right.

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Speaker 2: So this is a guy. I don't know that his

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Speaker 2: operational security is all that great. So, you know, it's

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Speaker 2: sort of like intriguing, like what the hell is going

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Speaker 2: on here? Could this journalist who is has published a book,

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Speaker 2: you know, publishing a book via Simon and Schuster, which

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Speaker 2: the lawyers at Simon and Schuster. Yeah, they're pretty tough.

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Speaker 1: Yeah.

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Speaker 2: I mean, you know, it may not be as tough

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Speaker 2: as like, I don't know, the Wall Street Journal, the

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Speaker 2: New York Times. I don't know. Well, I think they're

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Speaker 2: but they're pretty tough. You know, they have to be

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Speaker 2: pretty tough here. And there's something the guy said some

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Speaker 2: it's hard to imagine that the guy doesn't have receipts

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Speaker 2: of some sort. So you used to, you know, and again,

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Speaker 2: as on my point about the scandal is the excerpt

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Speaker 2: is so remarkable in what it is alleging that it's

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Speaker 2: like if just a portion of it, a tiny little

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Speaker 2: bit of it is true. There's there's there's somebody's in

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Speaker 2: trouble or some it's a scandal. Maybe it's not a crime.

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Speaker 5: I don't know.

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Speaker 2: But it's it's something that's going to have legs. And

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Speaker 2: the only thing, you know, and the real question is,

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Speaker 2: does it violate any particular laws? And if everything that's

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Speaker 2: said about Jared is true, even Jared's letter concedes that

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Speaker 2: this would mean that Jared committed crimes and violations of

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Speaker 2: federal statutes in the Constitution, but he's denying everything.

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Speaker 3: Right.

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Speaker 1: And again, this is Jared and Steve Wyckoff, two totally unprepared, untrained,

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Speaker 1: unresourced real estate executives, have been responsible for trying to

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Speaker 1: negotiate both peace in the Middle East and in Russia.

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Speaker 1: So it's not just like they are relatives of the

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Speaker 1: president or friends of the president. They also have like

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Speaker 1: real government jobs that.

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Speaker 2: Yeah. And to make the point about Jared, which goes

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Speaker 2: to the concession in the letter that the allegations would

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Speaker 2: be criminal if they are proven. You know, Jared is

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Speaker 2: said to have had this sign authority for a UAE

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Speaker 2: bank account of a kind of a I don't know

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Speaker 2: if it's a fake charity, but a charity that was

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Speaker 2: used to fund various things that weren't necessarily charitable, a

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Speaker 2: fund that had connections to the leader of the United

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Speaker 2: Arab Emirates, MBZ, I think is the name. And I

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Speaker 2: think that if you take all of that, and if

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Speaker 2: those allegations are true, then those things should have been

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Speaker 2: disclosed at a minimum. should have been disclosed on his

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Speaker 2: ethics forms. And they raise very serious questions about, you know,

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Speaker 2: this is like, remember Iran-Contra when they were running a

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Speaker 2: secret fund? Right. This would be Iran-Contra on steroids. Plus, plus, plus.

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Speaker 1: Now, speaking of on steroids running up to the midterms

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Speaker 1: in the most craven way in the hopes of completely

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Speaker 1: destroying their gubernatorial campaign, Vivek Has an ad and the

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Speaker 1: ad basically tries to say that Amy Acton was not

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Speaker 1: raped by her stepfather. Basically, I mean, that's what it says, right?

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Speaker 1: That the mom.

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Speaker 2: Basically, they put the they put the mother on the mother.

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Speaker 1: The crazy mother.

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Speaker 2: The crazy mother who stuck with the with the stepfather

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Speaker 2: who was indicted. And then went on the lam and

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Speaker 2: then went on the lam and she stuck by him.

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Speaker 2: And then basically now she says that she's the, she

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Speaker 2: said the mother, the mother says that Amy is a liar. Um,

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Speaker 2: and also it turned out that there were some charges

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Speaker 2: or potential charges or something from other stepfather about his actual,

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Speaker 2: his actual kids. Um, the notion that you, I don't

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Speaker 2: know what to add to all the criticism that has

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Speaker 2: been there. I mean, everybody's been critical of it and

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Speaker 2: it really is horrible. It's, it's the most horrible thing.

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Speaker 2: I think anybody has ever point to as a political,

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Speaker 2: you know, for a political ad. Really horrible.

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Speaker 1: And and OK, so it's a bad ad.

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Speaker 2: It's terrible.

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Speaker 1: It's terrible. But you know who is defending it?

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Speaker 5: Yes.

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Speaker 2: The president and vice president of the United States.

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Speaker 1: Yes. So Trump, I think Trump's doubling down on it

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Speaker 1: in a lengthy true social post, which says He put

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Speaker 1: up a powerful ad about a mother saying that her daughter,

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Speaker 1: who is running for governor of Ohio, is a liar

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Speaker 1: and much worse. The press in a concerted and well-coordinated

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Speaker 1: tact is trying to get him to take down the ad. Frankly, anybody,

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Speaker 1: by the way, like talk about not like missing the

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Speaker 1: forest from the trees, right? Like it's not about taking

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Speaker 1: down the ad. It's about having some measure of humanity, right?

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Speaker 3: Absolutely.

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Speaker 2: I mean, I got to say, one of the things

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Speaker 2: that struck me about Vance for Sonia, Trump is beyond.

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Speaker 2: He is subhuman in his morality.

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Speaker 1: Wait, I need to read you one line here, though,

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Speaker 1: because I think you'll appreciate this. The Democrats, but no B,

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Speaker 1: I was told dumb has a B, would be totally

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Speaker 1: supportive and would go down as the ad of the decade,

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Speaker 1: maybe the century explanation point. It would win awards for

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Speaker 1: excellence in advertising.

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Speaker 2: He's insane. I mean, he's completely insane. I mean, and

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Speaker 2: I have to say this about about.

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Speaker 1: Vance.

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Speaker 2: Vance. That man never turns down the opportunity to show

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Speaker 2: that he even has the slightest bit of humanity in him.

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Speaker 2: I mean, we saw that in the 2024 campaign when

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Speaker 2: he talked about eating cats and dogs. Look, people in.

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Speaker 2: What town was it in? Ohio.

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Speaker 3: Ohio.

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Speaker 5: Yeah.

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Speaker 1: They were eating the cats and the dogs.

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Speaker 2: Eating the cats and the dogs. This man... has no

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Speaker 2: moral core. They, none of them have any moral core.

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Speaker 2: And that, that is the thing that is most confounding

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Speaker 2: to me about this whole era is that how many

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Speaker 2: people don't have, how many people can't see that just,

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Speaker 2: it's just wrong to lie that way. It's just wrong

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Speaker 2: to treat a victim of sexual abuse that way. It's just,

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Speaker 2: it's just wrong to use an obviously sick woman, a, a, a,

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Speaker 2: a comment about her daughter and, and to use In

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Speaker 2: that fashion, and then to double down on it and

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Speaker 2: put $ 4 million in that. And what is wrong with

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Speaker 2: these people?

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Speaker 5: It is.

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Speaker 2: And I think this one has legs because it's easy

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Speaker 2: to understand. And I think that people in Ohio and

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Speaker 2: the Republican Party, it sounds like they're distraught over it.

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Speaker 1: And Mike DeWine.

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Speaker 2: And there's Mike DeWine. Mike DeWine's a decent human being

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Speaker 2: and he's not going to stand for it.

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Speaker 1: That's the thing about Mike DeWine is that he's not,

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Speaker 1: he's very, very, very Republican, but he's not MAGA.

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Speaker 2: No, he's never been MAGA. What he's had to do,

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Speaker 2: I mean, and I respect it because I don't think

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Speaker 2: he's been an enabler, but he's somehow managed to do

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Speaker 2: what's really hard to do, which is to be a

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Speaker 2: straight-laced governor and, you know, not, and not, piss off

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Speaker 2: the mega movement but kind of work within it and

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Speaker 2: and very few people have been able to work with

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Speaker 2: work around it and very few people have been able

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Speaker 2: to do that it's really really hard to do without

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Speaker 2: getting your getting your hands dirty or your it's it's

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Speaker 2: really hard to get without getting the stink on you

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Speaker 2: and um You know, he doesn't he doesn't get enough

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Speaker 2: credit for that. Yeah.

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Speaker 1: I mean, but he also came out against this ad.

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Speaker 1: And so did Ashley Hinson. It did strike me that

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Speaker 1: politicians who were a little smarter like Trump. OK, Trump

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Speaker 1: is craven and Trump is sociopath, whatever. But like the

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Speaker 1: politicians who can read the writing on the wall were like,

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Speaker 1: this is so disgusting that it backfires.

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Speaker 3: Yeah, no.

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Speaker 2: And it is dumb. It is just absolutely dumb to

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Speaker 2: do this. I mean, and what's amazing about it is

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Speaker 2: that the vague just went out and they just went

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Speaker 2: out and they put $ 4 million in front. They just went,

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Speaker 2: they doubled down and then Vance tripled down and then

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Speaker 2: Trump quadrupled down. And it shows just the complete lack

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Speaker 2: of moral and common sense. And these people are, I just,

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Speaker 2: it's unfathomable.

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Speaker 1: George Conway.

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Speaker 2: Always love it being here.

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Speaker 3: So, Molly, we got a really, really not assuring response

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Speaker 3: from Todd Blanch yesterday when he talked about election security.

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Speaker 3: And now we see that Trump DOJ plans election monitors

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Speaker 3: in Colorado since it's a battleground state.

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Speaker 1: So Todd Blanch, otherwise known as Donald Trump's personal lawyer,

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Speaker 1: which his words, not ours. He was asked yesterday if

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Speaker 1: he would interfere in the elections. He basically didn't say no.

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Speaker 1: The right answer is anything that is, you know, no.

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Speaker 1: The wrong answer is anything else. And he basically hemmed

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Speaker 1: and hawed and said he wouldn't speak in hypotheticals. Well,

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Speaker 1: here we go. The DOJ notified that Adams and Douglas

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Speaker 1: counties this week, it intends to deploy monitors on election day.

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Speaker 1: This is this a high stakes election with a lot

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Speaker 1: a lot of money, a lot of Elon Musk money

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Speaker 1: being spent, and a lot of anxiety. I will say, like,

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Speaker 1: I don't think people should throw up their hands when

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Speaker 1: stuff like this is happening, because we know that there

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Speaker 1: are nonpartisan groups that are investing a lot of money

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Speaker 1: and making sure that there are lawyers and election watchers

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Speaker 1: and You know, if the DOJ sends people to polls,

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Speaker 1: there'll be other people at the polls. There'll be police

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Speaker 1: there just to, if that need be, to monitor. So

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Speaker 1: as much as that sounds scary, there are also going

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Speaker 1: to be good guys there. Federal election monitoring is routine.

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Speaker 1: This year's plan, everything is getting a lot more scrutiny

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Speaker 1: because the Trump administration is so dastardly. The DOJ monitored

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Speaker 1: 64 jurisdictions across 24 states in the 2022 midterms, but

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Speaker 1: we didn't have a DOJ that was the president's attack dogs.

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Speaker 1: This year, they would like to have a thousand observers nationwide.

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Speaker 1: And so we're just going to do, we're just going to,

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Speaker 1: you know, there's enough people who are pushing back in

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Speaker 1: a nonpartisan way, so it should be okay. But This

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Speaker 1: is certainly scary.

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Speaker 3: Yeah, I feel good that we're going, their incompetence is

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Speaker 3: going to lose out, but those things are never exciting.

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Speaker 3: Speaking of incompetence, we have to talk about Skydance. So

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Speaker 3: Elon Musk, who, you know, could lose a billion in

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Speaker 3: the couch a couple hundred thousand times and wouldn't notice,

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Speaker 3: he's invested in Ellison Skydance, a billion dollars.

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Speaker 1: So Larry Ellison has invested taken a lot. I think

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Speaker 1: he's like one of the biggest debt holders in America.

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Speaker 1: So he borrowed a lot and he borrowed against his

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Speaker 1: stock so he wouldn't have to pay taxes. But he

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Speaker 1: took a lot of investors, too, because he's made this,

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Speaker 1: you know, he basically owns like half the media now.

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Speaker 1: And this deal has a lot of debt. And so

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Speaker 1: one of the people he got money from was Elon Musk.

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Speaker 1: who invested $ 1 billion. Now, luckily for Elon Musk, he

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Speaker 1: can afford to lose $ 1 billion, and he probably will.

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Speaker 1: But this is, you know, he got a lot of

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Speaker 1: investors and all sorts of investors, and they're going to

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Speaker 1: try to figure out how to make money while having

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Speaker 1: a lot, a lot, a lot of debt. And also

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Speaker 1: a lot of ideological problems craziness. So you're going to

435
00:25:04,200 --> 00:25:07,220
Speaker 1: have an, I mean, that's the truth right there.

436
00:25:07,260 --> 00:25:09,860
Speaker 3: You know, it's war on woke, like shut down the

437
00:25:09,920 --> 00:25:13,170
Speaker 3: part that made some of the bestselling movies like sinners

438
00:25:13,250 --> 00:25:15,270
Speaker 3: and one battle after another, but that's too woke for them.

439
00:25:15,730 --> 00:25:18,889
Speaker 1: But it's not just war on woke because war on woke,

440
00:25:19,490 --> 00:25:22,810
Speaker 1: is a Republican thing. It's like, I mean, Warren Woke

441
00:25:22,869 --> 00:25:27,550
Speaker 1: is a stupid move for an entertainment company, but it's

442
00:25:27,590 --> 00:25:32,859
Speaker 1: also like very Zionist, which is something that a lot

443
00:25:32,980 --> 00:25:38,680
Speaker 1: of actors don't jive with. So you're going to have like...

444
00:25:39,440 --> 00:25:45,490
Speaker 1: A lot of pro, look for pro-Israel movies, movies that

445
00:25:45,690 --> 00:25:48,050
Speaker 1: do not necessarily, I mean, I think they're going to

446
00:25:48,090 --> 00:25:52,669
Speaker 1: come into conflict pretty quickly. So this will be really

447
00:25:52,930 --> 00:25:54,850
Speaker 1: interesting what happens next.

448
00:25:55,210 --> 00:25:55,450
Speaker 2: Yes.

449
00:25:56,580 --> 00:25:59,220
Speaker 3: And, you know, when he's not doing that, he's spending

450
00:25:59,420 --> 00:26:03,360
Speaker 3: almost half that in the midterm election. I mean, he spent.

451
00:26:03,140 --> 00:26:04,320
Speaker 2: Upwards of $ 450 million, apparently.

452
00:26:07,080 --> 00:26:10,429
Speaker 1: You'll be shocked to know that the largest donor of

453
00:26:10,450 --> 00:26:16,350
Speaker 1: the midterms is the largest donor of the 2024 cycle, too, right?

454
00:26:16,890 --> 00:26:20,609
Speaker 1: Elon Musk, who has written out check after check after check.

455
00:26:20,710 --> 00:26:25,620
Speaker 1: And certain candidates, like Ken Paxton, he's basically just bankrolling,

456
00:26:26,980 --> 00:26:28,660
Speaker 1: which makes a lot of sense. Because if you think

457
00:26:28,700 --> 00:26:33,840
Speaker 1: about it, Ken Paxton, the attorney general for the state

458
00:26:33,880 --> 00:26:38,959
Speaker 1: of Texas, a state that Elon... at least theoretically, lives in.

459
00:26:38,980 --> 00:26:43,260
Speaker 3: Well, as they said, he owns a town in Brownsville, Texas.

460
00:26:43,500 --> 00:26:47,639
Speaker 1: Right. And who has gotten a lot of tax incentives

461
00:26:47,720 --> 00:26:51,220
Speaker 1: and a lot of different things from Ken Paxton. And

462
00:26:51,310 --> 00:26:54,670
Speaker 1: now he is going to repay Ken Paxton by bankrolling

463
00:26:54,750 --> 00:26:57,790
Speaker 1: his Senate race. So we'll see what happens here.

464
00:26:57,810 --> 00:26:58,470
Speaker 2: Yeah.

465
00:26:58,590 --> 00:27:01,970
Speaker 3: Well, when he's not doing that, he's threatening to jail

466
00:27:02,210 --> 00:27:03,510
Speaker 3: friend of the show, Kara Swisher.

467
00:27:03,910 --> 00:27:11,730
Speaker 1: Yes. When not... pouring money into American elections or harassing

468
00:27:11,750 --> 00:27:19,840
Speaker 1: the mothers of his multiple children or tweeting out crazy stuff.

469
00:27:20,220 --> 00:27:26,850
Speaker 1: He is threatening to jail Kara Swisher for Because he's

470
00:27:27,350 --> 00:27:31,330
Speaker 1: mad at her, I think. I mean, you know, you

471
00:27:31,369 --> 00:27:34,470
Speaker 1: don't get to, I mean, like, these guys are so sensitive.

472
00:27:34,890 --> 00:27:39,210
Speaker 1: She said, under Kamala Harris, he might be in jail

473
00:27:39,270 --> 00:27:42,770
Speaker 1: right now, right? I think she's referring to in the

474
00:27:42,810 --> 00:27:45,030
Speaker 1: Musk movie, which we've all seen, and Kara Swisher is

475
00:27:45,090 --> 00:27:49,209
Speaker 1: actually in it. In it, they talk about how Elon

476
00:27:49,530 --> 00:27:54,550
Speaker 1: was a little bit misleading about the auto drive thing.

477
00:27:55,410 --> 00:28:00,189
Speaker 1: And that a number of people have been killed by it.

478
00:28:00,830 --> 00:28:02,540
Speaker 1: And they have all been largely.

479
00:28:02,560 --> 00:28:04,639
Speaker 3: This is Tesla's self-driving car?

480
00:28:04,680 --> 00:28:08,940
Speaker 1: Self-driving, yeah. Well, the self-driving mechanism and that largely some

481
00:28:08,980 --> 00:28:13,060
Speaker 1: of the people... Those people have had NDAs and big checks.

482
00:28:13,359 --> 00:28:14,560
Speaker 4: Yes, yes.

483
00:28:14,830 --> 00:28:18,350
Speaker 1: To be prevented from speaking. So, you know, that would

484
00:28:18,390 --> 00:28:22,129
Speaker 1: be something that... you could theoretically see a person if

485
00:28:22,190 --> 00:28:24,429
Speaker 1: they were not telling the truth. I guess that's what

486
00:28:24,450 --> 00:28:25,120
Speaker 1: she's talking about.

487
00:28:25,430 --> 00:28:28,260
Speaker 3: Yeah. Well, I mean, what I love about this is

488
00:28:28,320 --> 00:28:32,260
Speaker 3: how many dystopian movies predicted that this would happen before

489
00:28:32,280 --> 00:28:32,939
Speaker 3: this happened.

490
00:28:33,340 --> 00:28:37,020
Speaker 1: You know, someone said to me, the thing about the auto,

491
00:28:37,060 --> 00:28:40,520
Speaker 1: the self-car, the self-driving is that like 80% of the

492
00:28:40,560 --> 00:28:45,080
Speaker 1: time it's great. It's just the time when it's not

493
00:28:45,100 --> 00:28:47,420
Speaker 1: is when you can die.

494
00:28:48,160 --> 00:28:51,180
Speaker 3: Yeah, but I really liked when my Uber driver one

495
00:28:51,220 --> 00:28:54,840
Speaker 3: time when it was raining in L.A. said to me, oh, wow,

496
00:28:54,900 --> 00:28:57,300
Speaker 3: I just took that curve with the self-driving and it worked.

497
00:28:57,400 --> 00:28:58,600
Speaker 3: And I thought, great.

498
00:28:58,660 --> 00:29:05,240
Speaker 1: What's interesting in the movie is they have an engineer

499
00:29:05,300 --> 00:29:09,250
Speaker 1: who talked about how they did an advertisement to show

500
00:29:09,310 --> 00:29:14,310
Speaker 1: the self-driving car, but they had somebody controlling the car

501
00:29:14,330 --> 00:29:19,180
Speaker 1: from the trunk. So and that the video was really misleading.

502
00:29:19,840 --> 00:29:23,680
Speaker 1: And that's I think that's what he's she's referring to.

503
00:29:23,700 --> 00:29:27,650
Speaker 1: But the irony is that Musk actually tweeted something to

504
00:29:27,690 --> 00:29:31,790
Speaker 1: the effect of like, if if this election doesn't go

505
00:29:31,850 --> 00:29:34,610
Speaker 1: the Republican way, I'm going to be, you know, something

506
00:29:34,650 --> 00:29:35,610
Speaker 1: to that effect.

507
00:29:35,670 --> 00:29:38,370
Speaker 3: Well, he said at the last election to Tucker Carlson,

508
00:29:38,430 --> 00:29:41,720
Speaker 3: if it doesn't go well. I'd be in jail. And,

509
00:29:41,940 --> 00:29:46,160
Speaker 3: you know, I think that that's pretty accurate for how

510
00:29:46,280 --> 00:29:49,000
Speaker 3: often he flaunts the law and has no respect for it.

511
00:29:49,380 --> 00:29:52,020
Speaker 1: It's funny, though, like he says it, it's OK, but

512
00:29:52,040 --> 00:29:54,260
Speaker 1: Kara Swisher says it and she needs to go to

513
00:29:54,300 --> 00:29:56,180
Speaker 1: jail for saying it. Yes.

514
00:29:56,320 --> 00:30:00,260
Speaker 3: Well, I mean, as we know, the free speech absolutist

515
00:30:00,320 --> 00:30:01,850
Speaker 3: is not a free speech absolutist.

516
00:30:02,230 --> 00:30:03,430
Speaker 1: Right. It's nice.

517
00:30:03,890 --> 00:30:06,250
Speaker 3: And, you know, I think that this self-driving car thing

518
00:30:06,290 --> 00:30:07,870
Speaker 3: is a good metaphor for what we're going through with

519
00:30:07,950 --> 00:30:10,890
Speaker 3: AI right now. It's all built on lies. Everybody's saying

520
00:30:10,930 --> 00:30:13,400
Speaker 3: it's more competent than it is. to try to pump

521
00:30:13,480 --> 00:30:15,720
Speaker 3: up the stock. And then when the rubber hits the road,

522
00:30:16,140 --> 00:30:16,520
Speaker 3: it's not.

523
00:30:16,860 --> 00:30:19,860
Speaker 1: Yes, true, true. I mean, I think we're still seeing

524
00:30:20,060 --> 00:30:22,000
Speaker 1: what AI can do and what it can't do, but

525
00:30:22,040 --> 00:30:24,280
Speaker 1: it certainly seems like it can't do what they're saying

526
00:30:24,340 --> 00:30:24,700
Speaker 1: it can.

527
00:30:24,800 --> 00:30:30,030
Speaker 3: Somali, the Supreme Court, your besties, they're now allowing New

528
00:30:30,070 --> 00:30:32,690
Speaker 3: Hampshire to go ahead with banning student IDs for voting

529
00:30:32,730 --> 00:30:33,350
Speaker 3: in the midterms.

530
00:30:34,310 --> 00:30:34,570
Speaker 2: No.

531
00:30:36,240 --> 00:30:40,450
Speaker 1: They're not my besties, but they are a very right-wing

532
00:30:40,530 --> 00:30:43,830
Speaker 1: court and they are not going to allow student ideas

533
00:30:43,890 --> 00:30:46,930
Speaker 1: for voting in the midterms. Why are they not going

534
00:30:46,970 --> 00:30:51,700
Speaker 1: to allow that? Because students are often Democrats and they

535
00:30:51,780 --> 00:30:54,080
Speaker 1: do not want them voting in New Hampshire. There are

536
00:30:54,100 --> 00:30:58,400
Speaker 1: a lot of college students. There's a possibility Republicans would

537
00:30:58,460 --> 00:31:02,250
Speaker 1: like to pick up that seat with Sununu. Don't confuse

538
00:31:02,290 --> 00:31:07,280
Speaker 1: him with his father. And so they're hoping enough people

539
00:31:07,380 --> 00:31:13,040
Speaker 1: do so that he can win. And and we'll see.

540
00:31:13,160 --> 00:31:18,790
Speaker 1: But that is, you know, it's it's a partisan play.

541
00:31:18,810 --> 00:31:21,250
Speaker 1: It's always from the Supreme Court.

542
00:31:24,150 --> 00:31:24,370
Speaker 2: Lake.

543
00:31:24,710 --> 00:31:29,050
Speaker 1: Ginn Dembian is the Democratic nominee for New York's 21st

544
00:31:29,550 --> 00:31:32,930
Speaker 1: Congressional District. Welcome, welcome, Blake.

545
00:31:33,330 --> 00:31:33,910
Speaker 3: Thank you, Molly.

546
00:31:33,950 --> 00:31:34,830
Speaker 4: It's great to be here.

547
00:31:35,090 --> 00:31:37,750
Speaker 1: Tell us what you're running for and what your race

548
00:31:37,770 --> 00:31:38,210
Speaker 1: looks like.

549
00:31:38,630 --> 00:31:43,470
Speaker 4: So really for almost two years, since before Thanksgiving of 2024,

550
00:31:43,470 --> 00:31:46,400
Speaker 4: I've been running for New York's 21st District. And as

551
00:31:46,480 --> 00:31:50,440
Speaker 4: soon as Congresswoman Stefanik's announcement that she was going to

552
00:31:50,480 --> 00:31:52,880
Speaker 4: be our next UN ambassador, we jumped into the race.

553
00:31:53,360 --> 00:31:56,880
Speaker 1: And what does your district look like? It's a Republican

554
00:31:56,980 --> 00:32:01,120
Speaker 1: plus what? And you've moved now to you're in you're

555
00:32:01,160 --> 00:32:04,380
Speaker 1: actually like within the margins. So talk us through that.

556
00:32:05,220 --> 00:32:09,640
Speaker 4: So certainly we've benefited from an almost two year long runway.

557
00:32:10,340 --> 00:32:14,880
Speaker 4: And it is a Trump plus 21 district, Congresswoman Stefanik

558
00:32:14,920 --> 00:32:20,980
Speaker 4: plus 24. And we are currently beating Anthony Constantino, our opponent,

559
00:32:21,320 --> 00:32:24,540
Speaker 4: by four points in the latest Siena poll. Donald Trump

560
00:32:24,580 --> 00:32:27,900
Speaker 4: is now a minus three in one of our internal

561
00:32:27,940 --> 00:32:31,860
Speaker 4: polls from early spring. Congresswoman Stefanik was a minus eight.

562
00:32:32,400 --> 00:32:36,290
Speaker 4: I'm a plus 16 and Constantino is a minus 11.

563
00:32:36,290 --> 00:32:40,950
Speaker 4: That's a 27 point favorability gap. And there's some reasons

564
00:32:41,030 --> 00:32:41,350
Speaker 4: for that.

565
00:32:41,760 --> 00:32:48,830
Speaker 1: So tell us some of these reasons why Anthony Constantino

566
00:32:49,210 --> 00:32:51,410
Speaker 1: could be the next Marjorie Taylor Greene.

567
00:32:51,830 --> 00:32:55,950
Speaker 4: Well, we'll start with his 12 foot tall by 100

568
00:32:55,950 --> 00:32:58,130
Speaker 4: foot long vote for Trump sign that he put on

569
00:32:58,190 --> 00:33:01,270
Speaker 4: top of his business. Then we can move on to

570
00:33:01,650 --> 00:33:06,490
Speaker 4: his 20 track rap album with profanity laden songs called

571
00:33:06,520 --> 00:33:09,700
Speaker 4: Thank You, Donald Trump, where every song is called Thank You,

572
00:33:09,740 --> 00:33:14,110
Speaker 4: Donald Trump. And you can hear Roger Stone rap in

573
00:33:14,170 --> 00:33:19,100
Speaker 4: one of the songs. He pays Roger Stone about $ 80, 000

574
00:33:17,860 --> 00:33:21,900
Speaker 4: a quarter for advice. And he's a rubber stamp on

575
00:33:22,180 --> 00:33:27,050
Speaker 4: every single one of Donald Trump's policies, including importing 600

576
00:33:27,050 --> 00:33:30,430
Speaker 4: million metric tons of beef from mystery countries without labels

577
00:33:30,550 --> 00:33:33,030
Speaker 4: on them. which is a gut punch to farmers in

578
00:33:33,070 --> 00:33:34,350
Speaker 4: New York's 21st District.

579
00:33:34,470 --> 00:33:38,050
Speaker 1: He pays $ 80, 000 a month to Roger Stone. Roger Stone,

580
00:33:38,070 --> 00:33:43,070
Speaker 1: any number of reasons not to pay Roger Stone $ 80, 000

581
00:33:42,030 --> 00:33:46,530
Speaker 1: a month. But he also is not. I mean, that's

582
00:33:46,990 --> 00:33:49,980
Speaker 1: sort of shocking. It is shocking.

583
00:33:51,160 --> 00:33:53,860
Speaker 4: It's a big difference between our campaign and his.

584
00:33:54,220 --> 00:33:56,380
Speaker 1: So tell me about your campaign, Blake.

585
00:33:56,740 --> 00:34:00,040
Speaker 4: Well, first of all, Constantino says only two people can

586
00:34:00,080 --> 00:34:02,540
Speaker 4: control me. And he said that at the Trump rally,

587
00:34:02,580 --> 00:34:06,900
Speaker 4: Donald Trump and Roger Stone. He's clearly Donald Trump's man.

588
00:34:07,060 --> 00:34:10,020
Speaker 4: And I am a pragmatic reflection of the district. My

589
00:34:10,080 --> 00:34:13,520
Speaker 4: wife and I milk 500 cows. We farm 1,200 acres.

590
00:34:14,080 --> 00:34:17,180
Speaker 4: I'm a basketball coach at the public school, a high

591
00:34:17,200 --> 00:34:21,310
Speaker 4: school basketball coach, school board president. Farmers elected me to

592
00:34:21,390 --> 00:34:24,390
Speaker 4: be the vice chairman of the board of Agrimark, which

593
00:34:24,450 --> 00:34:28,770
Speaker 4: is a $ 1 billion farm family-owned dairy cooperative that that

594
00:34:28,850 --> 00:34:31,750
Speaker 4: has the flagship brand Cabot Cheese, which I hope everybody

595
00:34:32,190 --> 00:34:35,489
Speaker 4: listening likes because it is a farmer-owned brand. And my

596
00:34:35,550 --> 00:34:38,799
Speaker 4: wife Carmen and I started the Jewels of Life Foundation,

597
00:34:38,840 --> 00:34:43,819
Speaker 4: which supports children suffering from pediatric cancer from mainly from

598
00:34:43,920 --> 00:34:47,060
Speaker 4: Syracuse over to Plattsburgh. And if you'd like to learn

599
00:34:47,100 --> 00:34:50,120
Speaker 4: more about us, you can go to blakefrenwy.com. But for

600
00:34:50,140 --> 00:34:54,550
Speaker 4: the past two years, we've been talking about driving down

601
00:34:54,650 --> 00:34:58,009
Speaker 4: costs because as a farmer... I can't ignore the fact

602
00:34:58,030 --> 00:35:00,600
Speaker 4: that diesel fuel is through the roof. Our neighbors heat

603
00:35:00,640 --> 00:35:05,380
Speaker 4: their homes with heating oil. Gasoline is $ 4. 80. People drive

604
00:35:05,380 --> 00:35:09,080
Speaker 4: 50 miles to work. That's 100 miles to get to

605
00:35:09,140 --> 00:35:12,680
Speaker 4: work and home on $ 4. 80 gasoline. I know how to

606
00:35:12,719 --> 00:35:15,490
Speaker 4: drive down costs from the farm gate to the dinner plate.

607
00:35:15,630 --> 00:35:17,910
Speaker 4: As a farmer, there are ways we can do that.

608
00:35:18,270 --> 00:35:21,770
Speaker 4: The hospital system in New York's 21st District, the third

609
00:35:21,830 --> 00:35:25,299
Speaker 4: largest district east of the Mississippi, is falling apart. The

610
00:35:25,320 --> 00:35:28,500
Speaker 4: hospital I was born in has filed for bankruptcy. That

611
00:35:28,560 --> 00:35:31,359
Speaker 4: same hospital two of our kids were born in. You

612
00:35:31,400 --> 00:35:34,009
Speaker 4: can't get maternity care. How are we ever going to

613
00:35:34,070 --> 00:35:36,740
Speaker 4: recruit young people to come here? And now we have

614
00:35:36,760 --> 00:35:39,569
Speaker 4: the trade war with our best friends to the north.

615
00:35:39,890 --> 00:35:43,049
Speaker 4: Right here, Molly, that's the St. Lawrence River. This is

616
00:35:43,130 --> 00:35:44,470
Speaker 4: our farm, all these dots.

617
00:35:45,110 --> 00:35:45,430
Speaker 1: Right.

618
00:35:45,730 --> 00:35:49,670
Speaker 4: Canada's right there. And they're our greatest trading partner, second

619
00:35:49,690 --> 00:35:51,569
Speaker 4: largest trading partner in the world. We have a 250

620
00:35:51,570 --> 00:35:55,610
Speaker 4: plus year history Of trading to the north because the

621
00:35:55,670 --> 00:35:58,930
Speaker 4: Adirondack Park is below us and it's hard to get around.

622
00:35:59,310 --> 00:36:01,940
Speaker 4: I buy my corn and soybeans from Quebec. The largest

623
00:36:02,320 --> 00:36:06,460
Speaker 4: egg producer in the northeast buys their packaging materials from Quebec.

624
00:36:06,719 --> 00:36:09,879
Speaker 4: They have to either eat that tariff cost or pass

625
00:36:09,920 --> 00:36:12,420
Speaker 4: it on to the consumer and increase food costs. And

626
00:36:12,600 --> 00:36:17,210
Speaker 4: these aren't Republican or Democrat issues. They're Northern New York issues,

627
00:36:17,330 --> 00:36:21,170
Speaker 4: North Country issues. And that's why we're winning this race.

628
00:36:22,250 --> 00:36:29,489
Speaker 1: So... Let's talk about being a farmer. One of the things,

629
00:36:29,590 --> 00:36:33,989
Speaker 1: and I've interviewed Rob Sand now, the guy who's running

630
00:36:34,030 --> 00:36:36,870
Speaker 1: for governor of Iowa. One of the things he says,

631
00:36:36,890 --> 00:36:40,590
Speaker 1: and I know this from spending time in Long Island,

632
00:36:40,710 --> 00:36:45,210
Speaker 1: is that there is a big problem. water problem, polluted water,

633
00:36:45,410 --> 00:36:48,950
Speaker 1: polluted groundwater is a real problem. In Iowa, they have

634
00:36:48,989 --> 00:36:52,110
Speaker 1: the second highest rate of cancer in all of America.

635
00:36:52,520 --> 00:36:56,460
Speaker 1: So like, are you seeing that with your cows? Are

636
00:36:56,480 --> 00:36:58,640
Speaker 1: you seeing that with the farming? Are you seeing the

637
00:36:58,760 --> 00:37:03,110
Speaker 1: polluted groundwater problem? And what are the other specific farming

638
00:37:03,150 --> 00:37:04,950
Speaker 1: problems you're seeing in upstate?

639
00:37:06,900 --> 00:37:09,609
Speaker 4: So locally in Northern New York, if we don't have

640
00:37:09,650 --> 00:37:12,850
Speaker 4: a healthy environment, we don't have healthy cows. So we

641
00:37:12,870 --> 00:37:15,850
Speaker 4: work really, really hard to take care of our water supply.

642
00:37:15,910 --> 00:37:19,880
Speaker 4: And I earned the sustainability award from the American Dairy

643
00:37:19,910 --> 00:37:27,620
Speaker 4: Association Northeast for managing my water, managing our nutrients. The

644
00:37:27,660 --> 00:37:31,640
Speaker 4: only thing that leaves the farm is milk. Everything else

645
00:37:31,680 --> 00:37:33,690
Speaker 4: gets reused. Water is collected.

646
00:37:33,710 --> 00:37:33,790
Speaker 2: Cool.

647
00:37:34,170 --> 00:37:37,250
Speaker 4: Manure is collected and reapplied where it's needed. So we're

648
00:37:37,290 --> 00:37:40,029
Speaker 4: all very, very careful. Look at the beautiful St. Lawrence

649
00:37:40,070 --> 00:37:41,969
Speaker 4: River right there. We want to take care of that.

650
00:37:42,190 --> 00:37:44,549
Speaker 4: And we want to take care of communities upstream. So

651
00:37:45,050 --> 00:37:47,440
Speaker 4: as an industry, we're all working hard to get to

652
00:37:47,500 --> 00:37:51,219
Speaker 4: net zero. We have the Adirondack Park, which is the

653
00:37:51,280 --> 00:37:55,660
Speaker 4: greatest carbon sequestering masterpiece in the Northeast. It's an incredible

654
00:37:55,700 --> 00:37:58,600
Speaker 4: place to take your family and enjoy nature and Lake

655
00:37:58,680 --> 00:38:01,629
Speaker 4: Placid and all the things that the high peaks have

656
00:38:01,670 --> 00:38:04,620
Speaker 4: to offer for families. So The ag industry is very,

657
00:38:04,680 --> 00:38:08,850
Speaker 4: very careful that we don't abuse our land because we

658
00:38:08,890 --> 00:38:09,230
Speaker 4: need it.

659
00:38:09,510 --> 00:38:10,490
Speaker 3: We need it for cows.

660
00:38:10,530 --> 00:38:11,750
Speaker 4: We need it to make healthy food.

661
00:38:12,110 --> 00:38:12,310
Speaker 5: Yeah.

662
00:38:13,380 --> 00:38:15,940
Speaker 1: How affected are you? So you're affected by tariffs. You're

663
00:38:15,960 --> 00:38:18,719
Speaker 1: affected by the trade war with Canada. You're affected by

664
00:38:18,800 --> 00:38:21,219
Speaker 1: the war in Iran because of the price of diesel,

665
00:38:21,620 --> 00:38:27,870
Speaker 1: which means both driving your trucking equipment, factory equipment, but

666
00:38:27,910 --> 00:38:31,029
Speaker 1: then also heating oil, which we talked about a little bit.

667
00:38:31,150 --> 00:38:33,270
Speaker 1: And it's cold there now, right?

668
00:38:33,670 --> 00:38:34,790
Speaker 4: It's getting cold.

669
00:38:35,170 --> 00:38:35,550
Speaker 5: Yeah.

670
00:38:35,910 --> 00:38:38,969
Speaker 4: We are north of the snow belt, north of many

671
00:38:39,070 --> 00:38:42,739
Speaker 4: areas of this district are north of lake effect snow.

672
00:38:43,230 --> 00:38:47,450
Speaker 4: It's just even colder. So families, think about this. The

673
00:38:47,530 --> 00:38:52,180
Speaker 4: median income is less than $ 40, 000 in New York's 21st district.

674
00:38:52,520 --> 00:38:58,420
Speaker 4: If you have to buy 750 gallons of heating oil

675
00:38:58,460 --> 00:39:00,590
Speaker 4: to heat your home, and last year it was 350,

676
00:39:00,580 --> 00:39:01,980
Speaker 4: this year it's $ 7, you're talking $ 2, 000 to $ 3, 000 more

677
00:39:06,030 --> 00:39:09,330
Speaker 4: On a median income of $ 40, 000. Also think about this.

678
00:39:09,810 --> 00:39:12,390
Speaker 4: I mentioned that we have longer distances to drive. Let's

679
00:39:12,410 --> 00:39:14,580
Speaker 4: say you have to drive 50 miles to work, 50

680
00:39:14,580 --> 00:39:17,100
Speaker 4: miles home. Then to go see your son or daughter

681
00:39:17,140 --> 00:39:20,420
Speaker 4: play a high school basketball game or a volleyball game,

682
00:39:20,800 --> 00:39:24,120
Speaker 4: you've got to go 60 miles to the other public

683
00:39:24,140 --> 00:39:27,330
Speaker 4: school where the away game is held. You just drove

684
00:39:27,910 --> 00:39:32,230
Speaker 4: over 200 miles on $ 4. 80 gasoline to go to work

685
00:39:32,270 --> 00:39:35,510
Speaker 4: and watch your kid play a sport. We disproportionately pay

686
00:39:35,550 --> 00:39:39,260
Speaker 4: the price for bad decisions in D.C. and rural America

687
00:39:39,540 --> 00:39:41,520
Speaker 4: over and over again. We don't even have a vote.

688
00:39:41,960 --> 00:39:46,319
Speaker 4: It's like taxation without representation. Our congresswoman has not been

689
00:39:46,360 --> 00:39:49,279
Speaker 4: in the district since September of twenty twenty five. She's

690
00:39:49,300 --> 00:39:52,640
Speaker 4: in the 98th percentile for not voting. Here we are

691
00:39:52,719 --> 00:39:56,440
Speaker 4: in an international conflict where we already disproportionately send our

692
00:39:56,480 --> 00:39:58,760
Speaker 4: young people to war, and we didn't have a say

693
00:39:58,820 --> 00:40:02,200
Speaker 4: in it. And our tariff policy is based on the

694
00:40:02,500 --> 00:40:07,090
Speaker 4: thickness of our president's skin. 8,000 different changes have happened

695
00:40:07,610 --> 00:40:10,610
Speaker 4: since Liberation Day. How are we as farmers supposed to

696
00:40:10,650 --> 00:40:14,170
Speaker 4: have any predictability, small businesses, any predictability? We have no

697
00:40:14,270 --> 00:40:17,110
Speaker 4: idea what's going on. We can't grow our businesses. We can't.

698
00:40:17,480 --> 00:40:21,609
Speaker 4: hire people, it's very difficult. And it's not a Democrat

699
00:40:21,620 --> 00:40:24,450
Speaker 4: or Republican issue. It's a North country issue.

700
00:40:24,890 --> 00:40:29,560
Speaker 1: So when you talk to voters, what are they, I mean,

701
00:40:29,680 --> 00:40:32,420
Speaker 1: what is the vibe? Are they willing to give Trump

702
00:40:32,480 --> 00:40:36,120
Speaker 1: another two years? Do they feel... Like they want to

703
00:40:36,180 --> 00:40:40,700
Speaker 1: kick them out. I mean, are they angry about prices?

704
00:40:40,900 --> 00:40:44,459
Speaker 1: Are they, you know, like we certainly see a lot

705
00:40:44,480 --> 00:40:47,910
Speaker 1: of people are angry about prices, but we're in the city.

706
00:40:48,320 --> 00:40:48,550
Speaker 5: Yeah.

707
00:40:48,930 --> 00:40:49,640
Speaker 2: So it's different.

708
00:40:50,840 --> 00:40:53,770
Speaker 4: The problems that we have in New York's 21st are

709
00:40:53,810 --> 00:40:56,469
Speaker 4: significantly different than the problems that New York City has.

710
00:40:56,489 --> 00:40:59,450
Speaker 4: I mean, we're six hours away, seven hours away from

711
00:40:59,530 --> 00:41:02,169
Speaker 4: my house. So what I'm hearing are things like this.

712
00:41:03,130 --> 00:41:05,390
Speaker 4: Someone who voted for Trump three times, who is in

713
00:41:05,450 --> 00:41:10,009
Speaker 4: my social network, goes to the same grain elevator that

714
00:41:10,090 --> 00:41:15,230
Speaker 4: I go to, has Trump stickers all over his farm equipment, says, Blake,

715
00:41:15,270 --> 00:41:19,109
Speaker 4: I got a question for you. When you win this race,

716
00:41:19,130 --> 00:41:21,989
Speaker 4: because everybody believes we're going to win, they say, are

717
00:41:22,030 --> 00:41:24,090
Speaker 4: you going to spend the next two years on a

718
00:41:24,150 --> 00:41:28,450
Speaker 4: retribution tour? And I say, no way. We're going to

719
00:41:28,489 --> 00:41:31,850
Speaker 4: hit small win after small win after small win and

720
00:41:31,910 --> 00:41:34,609
Speaker 4: deliver for people in New York's 21st because we have

721
00:41:34,690 --> 00:41:40,550
Speaker 4: serious problems. And he said, listen, I think renaming Lake Ontario,

722
00:41:40,690 --> 00:41:43,700
Speaker 4: Lake America is one of the dumbest things that I've

723
00:41:43,760 --> 00:41:46,640
Speaker 4: ever heard. My hospital is closing. I can't afford to

724
00:41:46,660 --> 00:41:49,240
Speaker 4: put diesel fuel in my tractor and we're screwing around

725
00:41:49,280 --> 00:41:52,319
Speaker 4: with this stuff. It's not serious while we're suffering in

726
00:41:52,400 --> 00:41:56,569
Speaker 4: rural America. We all feel like we're under attack. We

727
00:41:56,620 --> 00:41:58,550
Speaker 4: are disproportionately paying the price.

728
00:41:58,969 --> 00:42:00,170
Speaker 1: We don't make any money.

729
00:42:00,190 --> 00:42:03,489
Speaker 4: Our congressperson makes a small fortune and doesn't go to work.

730
00:42:03,870 --> 00:42:07,410
Speaker 4: None of us get to do that. We're trying to survive,

731
00:42:07,530 --> 00:42:10,030
Speaker 4: trying to save our hospitals, trying to afford food.

732
00:42:10,610 --> 00:42:12,570
Speaker 3: And that's what I'm hearing.

733
00:42:12,760 --> 00:42:15,720
Speaker 4: Please do something to help.

734
00:42:15,900 --> 00:42:20,400
Speaker 1: So you're getting Trump voters because in a district like yours,

735
00:42:20,440 --> 00:42:22,279
Speaker 1: you're going to have to. I mean, it sounds like

736
00:42:22,300 --> 00:42:27,850
Speaker 1: you're making the case that to Trump voters that you

737
00:42:28,010 --> 00:42:30,509
Speaker 1: can try to lower prices for them?

738
00:42:30,989 --> 00:42:34,650
Speaker 4: Absolutely. And as a farmer who's from the district born

739
00:42:34,690 --> 00:42:37,989
Speaker 4: and raised here, I'm a familiar face. And they know

740
00:42:38,030 --> 00:42:39,870
Speaker 4: that they can call me. They know that I can't

741
00:42:39,910 --> 00:42:43,350
Speaker 4: take my 500 cows to the White House lawn. They

742
00:42:43,430 --> 00:42:46,810
Speaker 4: know that I can't turn the ballroom into a milking

743
00:42:46,850 --> 00:42:49,340
Speaker 4: parlor and a freestyle barn. They know I'm going to

744
00:42:49,360 --> 00:42:51,770
Speaker 4: be coming home and they're excited about that. They know

745
00:42:51,790 --> 00:42:53,469
Speaker 4: that it won't be a farce that I live in

746
00:42:53,510 --> 00:42:56,010
Speaker 4: the district, that I actually do live in the district.

747
00:42:56,450 --> 00:43:00,230
Speaker 4: And our friends and neighbors from St. Lawrence Valley all

748
00:43:00,250 --> 00:43:03,410
Speaker 4: the way down to the Hudson Valley are excited to

749
00:43:03,450 --> 00:43:07,560
Speaker 4: have one of us represent the North Country in upstate

750
00:43:07,600 --> 00:43:10,980
Speaker 4: New York. On both sides of the aisle, we've earned

751
00:43:11,260 --> 00:43:16,120
Speaker 4: over 20 points of Trump voters. We've consolidated over 90%

752
00:43:16,120 --> 00:43:22,040
Speaker 4: of the Democrats votes. Constantino has only consolidated 65 percent

753
00:43:22,120 --> 00:43:25,439
Speaker 4: of the Republicans. We've got over 20 percent of them.

754
00:43:25,739 --> 00:43:29,120
Speaker 4: And there are many persuadable undecideds that I'm sure we

755
00:43:29,140 --> 00:43:32,060
Speaker 4: will have captured and will continue to talk to in

756
00:43:32,080 --> 00:43:34,380
Speaker 4: the next 11 days.

757
00:43:34,820 --> 00:43:38,120
Speaker 1: So when does early voting start for us? It starts

758
00:43:38,160 --> 00:43:41,299
Speaker 1: in the same state. I'm curious because I want to

759
00:43:41,320 --> 00:43:41,820
Speaker 1: go vote.

760
00:43:42,280 --> 00:43:44,500
Speaker 4: We're just a few days away. It's Saturday. And I

761
00:43:44,540 --> 00:43:47,520
Speaker 4: think Saturday is a special day where you can register

762
00:43:47,640 --> 00:43:48,020
Speaker 4: and vote.

763
00:43:48,360 --> 00:43:50,430
Speaker 1: Saturday, which is today.

764
00:43:51,070 --> 00:43:53,870
Speaker 4: Yes, we get to start today. And on this special day,

765
00:43:53,890 --> 00:43:56,470
Speaker 4: you get to register and vote.

766
00:43:56,710 --> 00:44:00,569
Speaker 1: Yeah. And so, I mean, I think early voting is

767
00:44:00,650 --> 00:44:03,250
Speaker 1: one of the great miracles because I'm old enough to

768
00:44:03,290 --> 00:44:05,770
Speaker 1: remember when we didn't have early voting and you just

769
00:44:05,790 --> 00:44:09,690
Speaker 1: had to wait online forever. And the fact that you

770
00:44:09,710 --> 00:44:12,330
Speaker 1: can vote on a Saturday or Sunday is pretty incredible.

771
00:44:13,570 --> 00:44:13,989
Speaker 3: It sure is.

772
00:44:14,630 --> 00:44:17,170
Speaker 1: Especially if you're working a farm and you don't have

773
00:44:17,210 --> 00:44:20,390
Speaker 1: time to take off. So I'd love you to talk

774
00:44:20,450 --> 00:44:25,319
Speaker 1: about how you the guy you're running against is very

775
00:44:26,120 --> 00:44:29,360
Speaker 1: Trumpy in a lot of different ways. Are voters charmed

776
00:44:29,440 --> 00:44:33,100
Speaker 1: by that? Do they think he's a maverick? Does is

777
00:44:33,120 --> 00:44:36,759
Speaker 1: he or do they see the theater for what it is?

778
00:44:37,140 --> 00:44:39,279
Speaker 4: No, they see the theater for what it is. We

779
00:44:39,320 --> 00:44:43,100
Speaker 4: don't worship other individuals in the North Country and sending

780
00:44:43,160 --> 00:44:48,290
Speaker 4: Donald Trump a bronze statue of Donald Trump to Mar-a-Lago

781
00:44:48,570 --> 00:44:54,110
Speaker 4: is weird. And that's not endearing, uh, in New York's

782
00:44:54,270 --> 00:44:58,050
Speaker 4: 21st district where one in three households are hardworking union households.

783
00:44:58,430 --> 00:45:00,980
Speaker 4: We have more veterans than any district in the state

784
00:45:01,680 --> 00:45:06,739
Speaker 4: and almost 50% of the electorate is over 65. So

785
00:45:06,820 --> 00:45:11,680
Speaker 4: rolling into a nursing home or rehab center or a

786
00:45:11,890 --> 00:45:19,120
Speaker 4: retired person's, uh, home with face tattooed, um, rap guys

787
00:45:19,680 --> 00:45:24,299
Speaker 4: called Porsche truck ruck doesn't really fit the district. Um,

788
00:45:24,390 --> 00:45:25,310
Speaker 4: so he's struggling.

789
00:45:25,670 --> 00:45:26,270
Speaker 3: Yeah.

790
00:45:26,510 --> 00:45:29,930
Speaker 4: That's, that's why in an R plus nine district, we're,

791
00:45:30,390 --> 00:45:30,950
Speaker 4: we're winning.

792
00:45:31,310 --> 00:45:34,910
Speaker 1: But R plus nine, it's a D plus 11 generic.

793
00:45:35,410 --> 00:45:39,919
Speaker 1: So that's not crazy and if you're from the district

794
00:45:40,140 --> 00:45:44,560
Speaker 1: and you have you understand the issues in the district

795
00:45:45,000 --> 00:45:47,800
Speaker 1: and you but also it's not a huge amount of

796
00:45:47,840 --> 00:45:49,330
Speaker 1: people in the district.

797
00:45:49,030 --> 00:45:54,390
Speaker 4: Right it's it is 735 000 people wow but it's

798
00:45:54,570 --> 00:45:57,850
Speaker 4: it's the third largest district east of the mississippi so

799
00:45:58,050 --> 00:46:00,989
Speaker 4: it goes from the st lawrence river over to lake

800
00:46:01,010 --> 00:46:07,000
Speaker 4: champlain down to the hudson valley through saratoga's through Saratoga County,

801
00:46:07,080 --> 00:46:10,279
Speaker 4: through the Mohawk Valley, over to Rome, which is our

802
00:46:10,360 --> 00:46:15,530
Speaker 4: largest city in the district, 30,000 people. That's the largest city.

803
00:46:15,890 --> 00:46:17,570
Speaker 2: Not a lot of people. No.

804
00:46:17,930 --> 00:46:22,670
Speaker 4: Chobani has the largest single-site food processing investment in American

805
00:46:22,790 --> 00:46:27,450
Speaker 4: history coming in Rome. It will need 200,000 more dairy

806
00:46:27,489 --> 00:46:29,810
Speaker 4: cows that don't exist today to supply milk to it.

807
00:46:30,180 --> 00:46:32,620
Speaker 4: And then you go up to Fort Drum. Fort Drum's

808
00:46:32,640 --> 00:46:35,980
Speaker 4: the greatest army post in the nation. And We have

809
00:46:36,000 --> 00:46:39,660
Speaker 4: the entire Adirondack Park. It is a very spread out district.

810
00:46:39,760 --> 00:46:42,610
Speaker 4: It's not like we can knock on a thousand doors

811
00:46:42,650 --> 00:46:43,430
Speaker 4: in an afternoon.

812
00:46:43,790 --> 00:46:47,150
Speaker 1: So how are you campaigning with the cost of gas

813
00:46:47,210 --> 00:46:49,730
Speaker 1: being so high? I live in a kennel, so.

814
00:46:50,310 --> 00:46:54,489
Speaker 4: Yeah, so we have, I mentioned the one in three

815
00:46:54,530 --> 00:46:58,190
Speaker 4: households or union households. We have the endorsement of every

816
00:46:58,290 --> 00:47:01,860
Speaker 4: single union that has offered an endorsement in New York's

817
00:47:02,100 --> 00:47:06,460
Speaker 4: 21st because Constantino says, He wants to end police unions

818
00:47:06,960 --> 00:47:10,660
Speaker 4: and he signed a right to work pledge. So we

819
00:47:10,719 --> 00:47:15,390
Speaker 4: even received the police conference of New York's endorsement. It's

820
00:47:15,489 --> 00:47:18,830
Speaker 4: a 50,000 member police union of police officers and sheriffs.

821
00:47:19,210 --> 00:47:25,010
Speaker 4: I'm very proud of that. NYSIT, 1199, NYSNA, AFL-CIO, they're

822
00:47:25,050 --> 00:47:27,830
Speaker 4: going out and they're knocking on doors. We have a

823
00:47:28,090 --> 00:47:33,440
Speaker 4: powerful field organization of retired warrior superstars. that are going

824
00:47:33,560 --> 00:47:36,300
Speaker 4: out and knocking on doors. And what I'm hearing is

825
00:47:36,360 --> 00:47:39,229
Speaker 4: no one's knocked on my door in years, if ever.

826
00:47:39,730 --> 00:47:42,770
Speaker 4: And you guys are out knocking and talking to us

827
00:47:42,870 --> 00:47:47,549
Speaker 4: and building relationships. We have a strong ground game. And

828
00:47:47,590 --> 00:47:51,250
Speaker 4: the coach in me always tells them, I need you

829
00:47:51,290 --> 00:47:54,010
Speaker 4: guys to be that athlete that dives on the floor

830
00:47:54,090 --> 00:47:56,830
Speaker 4: for the loose ball, that athlete that does all the

831
00:47:56,890 --> 00:48:00,290
Speaker 4: little things, that boxes out, does the fundamentals. We don't

832
00:48:00,310 --> 00:48:02,680
Speaker 4: need superstars that are going to dunk the ball. We

833
00:48:02,719 --> 00:48:05,040
Speaker 4: need a team full of workhorses that are going to

834
00:48:05,060 --> 00:48:08,910
Speaker 4: get their elbows skinned up. And they're buying into that

835
00:48:09,010 --> 00:48:09,550
Speaker 4: big time.

836
00:48:10,030 --> 00:48:12,210
Speaker 1: So you have these unions going out for you, which

837
00:48:12,290 --> 00:48:15,770
Speaker 1: is great. And you have this Chobani, which is coming

838
00:48:15,810 --> 00:48:19,529
Speaker 1: to your district, which will need all these cows. And

839
00:48:19,610 --> 00:48:23,359
Speaker 1: you're talking to voters and you're focused on costs. Yeah.

840
00:48:23,820 --> 00:48:25,980
Speaker 4: And the trade war with Ontario and Quebec and saving

841
00:48:26,020 --> 00:48:29,400
Speaker 4: our rural health care. These are the things that matter. Molly,

842
00:48:29,760 --> 00:48:33,210
Speaker 4: I'm telling you, The fact that we have seven hospitals

843
00:48:33,270 --> 00:48:38,489
Speaker 4: at risk after the Medicaid cuts in November, 215,000 families

844
00:48:38,930 --> 00:48:42,000
Speaker 4: are on Medicaid. The hospital right in the middle of

845
00:48:42,040 --> 00:48:46,839
Speaker 4: the Adirondacks, 46% of the maternity care is Medicaid. These

846
00:48:46,880 --> 00:48:50,040
Speaker 4: people aren't sitting around doing nothing. These are hardworking families.

847
00:48:50,100 --> 00:48:53,480
Speaker 4: I told you the median income for working families is

848
00:48:53,540 --> 00:48:57,779
Speaker 4: under 40,000. So if we lose maternity care in the

849
00:48:57,820 --> 00:49:00,130
Speaker 4: middle of the Adirondack Park, How are we ever going

850
00:49:00,150 --> 00:49:02,930
Speaker 4: to recruit a young teaching family to teach kids in

851
00:49:02,969 --> 00:49:05,440
Speaker 4: Lake Placid? How are we ever going to recruit a

852
00:49:05,460 --> 00:49:08,819
Speaker 4: young family to open a business in Saranac Lake? Like,

853
00:49:08,880 --> 00:49:11,799
Speaker 4: it's not going to happen. And our congressperson has been

854
00:49:11,820 --> 00:49:16,350
Speaker 4: a no-show, totally disinterested. We need somebody from the district

855
00:49:16,410 --> 00:49:19,549
Speaker 4: that's going to fight to keep our hospitals open, roll

856
00:49:19,570 --> 00:49:23,410
Speaker 4: back the medications. cuts, bring back the affordable care premium subsidies,

857
00:49:23,850 --> 00:49:28,110
Speaker 4: find more primary care physicians in rural America, help people

858
00:49:28,170 --> 00:49:31,489
Speaker 4: get better transportation to the hospital, and make EMS an

859
00:49:31,530 --> 00:49:34,029
Speaker 4: essential service. Because, Molly, I don't think a lot of

860
00:49:34,050 --> 00:49:37,200
Speaker 4: people get it. A whistle blows off in the center

861
00:49:37,239 --> 00:49:41,080
Speaker 4: of my town at the fire station. People leave work

862
00:49:41,460 --> 00:49:45,250
Speaker 4: for free. They hop in an ambulance and they go

863
00:49:45,310 --> 00:49:47,710
Speaker 4: to someone's house to give them the primary care that

864
00:49:47,730 --> 00:49:51,390
Speaker 4: they need. That's how it works here. And we need

865
00:49:51,430 --> 00:49:55,029
Speaker 4: to consider making EMS an essential service so that our

866
00:49:55,090 --> 00:49:59,890
Speaker 4: local communities don't have to pay $ 750, 000 for.

867
00:49:59,380 --> 00:50:00,160
Speaker 2: A new ambulance.

868
00:50:00,480 --> 00:50:03,600
Speaker 4: We need help. We're doing the best we can. But

869
00:50:03,700 --> 00:50:06,440
Speaker 4: now we've got $ 7 diesel fuel, $ 4. 80 gasoline, and our

870
00:50:06,480 --> 00:50:11,190
Speaker 4: hospitals are closing. My mother had a stroke in June.

871
00:50:11,610 --> 00:50:14,970
Speaker 4: The hospital nearest to us is bankrupt and at risk

872
00:50:15,030 --> 00:50:18,550
Speaker 4: of closing. So they had to take mom five hours

873
00:50:18,630 --> 00:50:23,029
Speaker 4: away to Albany. That ambulance was tied up for at

874
00:50:23,190 --> 00:50:26,469
Speaker 4: least 10 hours. So the next person had to wait

875
00:50:26,880 --> 00:50:29,520
Speaker 4: until that ambulance came back. We need some serious help.

876
00:50:29,840 --> 00:50:34,100
Speaker 4: And we need to be talking about, again, driving down costs,

877
00:50:34,460 --> 00:50:38,880
Speaker 4: saving rural health care, and repairing our relationship with Ontario

878
00:50:38,920 --> 00:50:39,360
Speaker 4: and Quebec.

879
00:50:39,710 --> 00:50:42,989
Speaker 1: Blake, thank you, thank you, thank you.

880
00:50:43,430 --> 00:50:44,319
Speaker 4: Thank you, Molly.

881
00:50:44,340 --> 00:50:48,880
Speaker 2: And now, your moment of suffering.

882
00:50:50,400 --> 00:50:51,340
Speaker 1: Jesse Cannon.

883
00:50:51,660 --> 00:50:54,359
Speaker 3: Molly, jump fast, so I'm sorry. I know that this

884
00:50:54,420 --> 00:50:57,200
Speaker 3: is your life's work now, is trying to get RFK Jr.

885
00:50:57,239 --> 00:51:01,050
Speaker 3: to resign, but unfortunately, all you get is a Kaylee Means.

886
00:51:01,590 --> 00:51:04,490
Speaker 1: Right, Kaylee Means, not to be confused by his sister,

887
00:51:04,550 --> 00:51:06,790
Speaker 1: who never made Kaylee Means.

888
00:51:07,140 --> 00:51:07,339
Speaker 2: Right.

889
00:51:07,360 --> 00:51:09,680
Speaker 1: His sister who never made it through congressional approval.

890
00:51:10,520 --> 00:51:10,840
Speaker 3: Mr.

891
00:51:10,880 --> 00:51:14,200
Speaker 1: Means, a top advisor at Health and Human Services, is

892
00:51:16,570 --> 00:51:23,200
Speaker 1: he's resigning because he feels that they were not doing

893
00:51:23,300 --> 00:51:27,160
Speaker 1: Maha the way he wanted Maha to be done.

894
00:51:27,660 --> 00:51:28,480
Speaker 3: Lots of prayers.

895
00:51:28,960 --> 00:51:33,779
Speaker 1: Yeah, but it's good. I mean, what's good is he

896
00:51:33,860 --> 00:51:36,990
Speaker 1: did say he began to feel stymied in his attempts

897
00:51:37,030 --> 00:51:40,629
Speaker 1: to deliver on promises to improve the food supply. That's

898
00:51:40,650 --> 00:51:46,790
Speaker 1: because nobody in this administration wants him to, such as

899
00:51:46,969 --> 00:51:53,240
Speaker 1: defining ultra-processed foods, a step to regulating them. Good luck.

900
00:51:53,760 --> 00:51:57,009
Speaker 1: He was one of the architects of MAHA. He's one

901
00:51:57,030 --> 00:52:00,650
Speaker 1: of the most successful food policy advocates, except he never

902
00:52:00,750 --> 00:52:04,640
Speaker 1: did any changing of food or anything. It's a sad

903
00:52:04,719 --> 00:52:08,160
Speaker 1: day for the U.S. government, says one of his friends,

904
00:52:08,260 --> 00:52:12,240
Speaker 1: but it's not. The good news is Mr. Means was

905
00:52:12,280 --> 00:52:16,470
Speaker 1: a campaign advisor to Mr. Kennedy and Trump, and he

906
00:52:16,570 --> 00:52:19,770
Speaker 1: brokered the agreement to join forces in the 2024 campaign.

907
00:52:21,370 --> 00:52:24,670
Speaker 1: The hope is that all of these people will resign

908
00:52:24,790 --> 00:52:28,689
Speaker 1: soon and then take their quackery somewhere else.

909
00:52:29,150 --> 00:52:31,509
Speaker 3: Take your quackery somewhere else, Molly Jungfast.

910
00:52:32,270 --> 00:52:35,130
Speaker 1: I like that Mr. Means also played a key role

911
00:52:35,250 --> 00:52:38,920
Speaker 1: in Maha Report's outlining goals to reduce chronic disease in

912
00:52:39,000 --> 00:52:44,760
Speaker 1: children by having them die of preventable diseases like measles.

913
00:52:45,320 --> 00:52:49,730
Speaker 1: That's it for this episode of Fast Politics. Tune in

914
00:52:50,090 --> 00:52:55,450
Speaker 1: every Monday, Wednesday, Thursday, and Saturday to hear the best

915
00:52:55,510 --> 00:52:59,860
Speaker 1: minds in politics make sense of all this chaos. If

916
00:52:59,880 --> 00:53:02,960
Speaker 1: you enjoy this podcast, please send it to a friend

917
00:53:03,460 --> 00:53:06,600
Speaker 1: and keep the conversation going. Thanks for listening.