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

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

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Speaker 1: today's best minds, and GOP Congressman Don Bacon confirms the

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Speaker 1: DoD Secretary Pete Hegseth ordered pause and cyber operations against Russia.

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Speaker 1: I wonder why we.

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Speaker 2: Have such a great show for you today.

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Speaker 1: The Lincoln Projects owned Ritt Wilson joins us to discuss

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Speaker 1: life in the newly minted United.

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Speaker 2: States of Arabia.

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Speaker 1: Then we'll talk to the Economist's own Callum Williams about

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Speaker 1: how Gen X maybe the saddest generation America has ever seen.

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Speaker 2: But first the news, Samali.

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Speaker 3: Right as we were recording this afternoon with Rick Wilson,

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Speaker 3: we got horrible, horrible news that former President Biden has

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Speaker 3: been diagnosed with prostate cancer, which, for those who don't know,

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Speaker 3: is for someone his age a very bleak outlook much

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Speaker 3: of the time.

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Speaker 2: Well so a lot of time.

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Speaker 1: Prostate cancer is very treatable, but this cancer has, according

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Speaker 1: to The New York Times, has metastasized the bone. According

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Speaker 1: to his statement from mister Biden's personal office, aggressive form

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Speaker 1: of prostate cancer spread to his bones. That is not good.

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Speaker 1: It's a you know, metastasis as I just went through.

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Speaker 1: And you can read about of my book How to

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Speaker 1: Liz your Mother.

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Speaker 3: Yes, I was going to say, your book details this

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Speaker 3: very thoroughly and it comes out very soon. I'll give

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Speaker 3: you the plug to say June third.

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Speaker 1: It's a book about what happens when everything goes wrong.

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Speaker 1: My cancer patient is totally fine, but a lot of

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Speaker 1: cancer pigeons are not, and a lot of us are

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Speaker 1: going through this experience of having a loved one with cancer.

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Speaker 2: So I have had a lot of experience dealing with this.

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Speaker 1: It's really when it spreads the bone that is not good.

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Speaker 2: Again.

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Speaker 1: Cancer is a major problem in America, and you know

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Speaker 1: who just cut funding for cancer research, Donald Trump and

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Speaker 1: his doughe initiative. And you know who funded a lot

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Speaker 1: of cancer research was Joe Biden and his cancer moonshot.

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Speaker 1: So I do think it's really important that we see that.

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Speaker 1: As much as this is fucking heartbreak, it's also a

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Speaker 1: real case of where our vote actually means a lot,

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Speaker 1: because there are a lot of people in this country

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Speaker 1: are going to get cancer, and the treatments we have

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Speaker 1: will be discovered now for later, and so it's really heartbreaking,

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Speaker 1: and I think all of us send lots of lots

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Speaker 1: of hope and prayers to the Biden family, Joe, Jill, Hunter, Ashley.

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Speaker 1: They're a big family, very boisterous, a lot of people

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Speaker 1: in that family, but a lot of hardship.

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Speaker 2: So let us all hope that.

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Speaker 1: Joe Biden makes it through this, and more importantly, that

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Speaker 1: we can stop le get relitigating the fucking twenty twenty

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Speaker 1: four election cycle.

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Speaker 3: Now, yeah, Somali scottisent. He went on with Kristen Welker

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Speaker 3: this morning and it was pretty hilarious. I thought, personally,

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Speaker 3: hot take. I love that guy on television. He is

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Speaker 3: so wooden and so uncomfortable. You know, like, here's a man,

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Speaker 3: Donald Trump.

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Speaker 1: Who has pretty much cast his entire administration from Fox

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Speaker 1: News hosts because they look good on television, and then

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Speaker 1: he gets this guy who is clearly the most uncomfortable

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Speaker 1: person on television you have ever seen. And he is

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Speaker 1: just himming and hawing about these tariffs. And by the way,

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Speaker 1: every time he goes on television, you know, a less

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Speaker 1: so today. And and let me just add, but sent

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Speaker 1: is actually relatively smart. I mean, he's like one of

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Speaker 1: the very few people in this administration, who's not a

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Speaker 1: complete like sycophant with no qualifications. Right, the guy has

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Speaker 1: at least some experience working in what he's doing, which

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Speaker 1: is a dark contrast to people like Linda McMahon, who

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Speaker 1: is the head of the Department of Education. You know,

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Speaker 1: he said a lot of confusing things on there. And

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Speaker 1: he said the thing which Donald Trump has been again

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Speaker 1: and again lying about, right, which is he said Walmart

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Speaker 1: will be absorbing some of the tariffs. Again, if they

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Speaker 1: do that, they hurt small businesses. And also they said

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Speaker 1: they wouldn't do that, so maybe they've decided they will

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Speaker 1: some that get passed onto the consumer. Donald Trump said

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Speaker 1: tariffs will not raise prices. Here is Scott per Cent

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Speaker 1: saying some of it may get passed onto the consumer.

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Speaker 3: Well, I can tell you this hoping you post that

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Speaker 3: a great article today where they've started to assemble all

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Speaker 3: the different companies showing what the tariffs are doing to them,

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Speaker 3: including security cameras, people placing orders and getting shipping fees

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Speaker 3: that are three hundred dollars, six hundred dollars. It's not

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Speaker 3: looking good for what they did. And Scott per Cent's

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Speaker 3: whole deer in the headlights thing where he's just not

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Speaker 3: as cute as a deer. It's not feeling very comforting

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Speaker 3: to the consumer.

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Speaker 1: I mean, I find him to be hilarious, but I

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Speaker 1: do worry it's going to kill our economy.

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Speaker 3: The laughing so we don't cry type of energy that

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Speaker 3: we bring to this podcast.

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Speaker 1: There's more laughing than we're if you think we're laughing

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Speaker 1: to keep from crying. On this topic, let's move on

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Speaker 1: to everyone's least favorite group.

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Speaker 2: Of nine people who dress weird judges.

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Speaker 1: Yeah, I mean, look, three of them are good, six

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Speaker 1: of them are not.

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Speaker 2: Are you talking about the Supreme Court?

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Speaker 1: I am, in fact talking about the Supreme Court. So

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Speaker 1: I want to point out, so this is the Supreme

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Speaker 1: Court ruling. It goes seven to two. I bet you

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Speaker 1: can't guess the two two judges who are like Trump

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Speaker 1: should be able to do anything they want because he's

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Speaker 1: our mango god king. Those are Alito and Thomas, who

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Speaker 1: practically work for Rupert Murdic at this point, but I

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Speaker 1: just want to talk about this Alien Enemies Act, which we,

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Speaker 1: by the way, on this podcast, I've been talking about

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Speaker 1: since we read Project twenty twenty five, where we saw

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Speaker 1: that the Trump administration at every point. This at stration

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Speaker 1: months before has told us what they're going to do.

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Speaker 1: And this is a great example. Alien Enemies Act. They

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Speaker 1: said they were going to use it. They only has

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Speaker 1: ever been used World War one, World War two, War

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Speaker 1: of eighteen twelve, so it has only ever been used

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Speaker 1: during wars, right wars, not during made up things that

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Speaker 1: don't exist. Okay, so Trump administration wants to use it

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Speaker 1: to deport Venezuelans because of this gang that no one

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Speaker 1: has ever heard of, right trende Iragua.

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Speaker 3: It sounds like a really great restaurant that I could

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Speaker 3: go to somewhere to hit part of town.

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Speaker 1: Yes, correct, But more importantly, there just is no There

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Speaker 1: is no there there. So this is already a wildly

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Speaker 1: insane case. And still and still two of Trump's justices

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Speaker 1: are like, you can do it. I want to add that.

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Speaker 1: As soon as this happened, Donald Trump retweeted a guy

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Speaker 1: called Mike Davis, who is a close Trump aallet and

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Speaker 1: founder of the Article three project. So he is in

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Speaker 1: this conservative legal space, but really even more to the

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Speaker 1: right than the Supreme Court, and he called the decision illegal,

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Speaker 1: claiming it was heading down a peril's path. The perilous

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Speaker 1: path being keeping the Constitution going. And then he said,

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Speaker 1: and I think this is worth seeing. The Supreme Court

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Speaker 1: still has an illegal injunction on President of the United States

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Speaker 1: preventing him from commanding military operations to expel these foreign terrorists.

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Speaker 1: There's no evidence in these people are terrorists. There's no

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Speaker 1: evidence in any of this makes any sense. And he

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Speaker 1: says the president should house terrorists near the Chevy Chase

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Speaker 1: country club with daytime release. Chevy Chases located in Maryland,

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Speaker 1: near the homes of Chief Justice John Robbers and Justice

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Speaker 1: Berg Kavanaugh. If you don't see what the alt right

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Speaker 1: is doing here, I don't know what to tell you,

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Speaker 1: because what they're doing is trying to intimidate these in

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Speaker 1: order to get them to rubberstamp stuff Trump wants to do.

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Speaker 3: Speaking of fuckery around this issue, one of the new

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Speaker 3: tactics Ices adopting is to deport before court. Which it's

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Speaker 3: just so bleak that these people cover themselves in the

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Speaker 3: Constitution and the rule of law while they do things

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Speaker 3: like this.

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Speaker 2: Yeah.

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Speaker 1: Again, these are the plain clothes guys that are rolling

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Speaker 1: up grad students, right. They're doing things like leaving children.

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Speaker 1: You saw that where they left a kid on a

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Speaker 1: platform by himself and arrest of the parents. This is

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Speaker 1: a sort of despicable militious. Some members of this group

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Speaker 1: are from actual militias. They're just doing anything they can

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Speaker 1: to deport without offering due process, and now they're going

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Speaker 1: to deport them before they go to court. I just

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Speaker 1: want to point out that again, we need people to

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Speaker 1: work these jobs like this is not We're not to

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Speaker 1: pouring people because we don't have enough work for them.

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Speaker 1: If anything, we have too much work for them. We

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Speaker 1: are deporting people because Donald Trump has made this a

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Speaker 1: central campaign issue, just like we are not cutting the

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Speaker 1: federal government. I mean, we do have a deficit, but

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Speaker 1: we could raise taxes, we could let the tax cut expire.

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Speaker 1: All of this is because Donald Trump has a few

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Speaker 1: ideas that he wants tariffs, tax cuts, deportations. None of

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Speaker 1: these things need to happen. They are just all Donald

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Speaker 1: Trump's brainchild. And even though Trump says that all his

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Speaker 1: people want this, in fact they want it with caveats, right.

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Speaker 1: They believe in some deportation, but they don't like a

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Speaker 1: lot of the stuff that this administration is doing. And

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Speaker 1: we're already seeing in the polling Trump is losing you know,

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Speaker 1: those working class voters that went to him, He is

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Speaker 1: losing them at a rapid clip. And I think that

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Speaker 1: is probably the one bit of good news.

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Speaker 4: Hell yeah.

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Speaker 1: Rick Wilson is the founder of the Lincoln Project and

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Speaker 1: the host of the Enemy's List.

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Speaker 2: Rick Wilson, Lolly John Fast.

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Speaker 1: Here we are another week in Trump's America or is

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Speaker 1: it Trump's Arabia? So I feel like, you know, what

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Speaker 1: a lot this trip, this Trump Middle East? I want

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Speaker 1: to say jaunt. Can we say it's a jaunt?

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Speaker 5: We could say it's a johnt sure?

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Speaker 1: This Trump?

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Speaker 5: You could just say it's a hajj.

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Speaker 1: It's a hajjh. It's a hash beaj uh. This trip

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Speaker 1: reminded me that everything in Trump world is just a

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Speaker 1: rehash of something else that happened in the first administration,

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Speaker 1: that happened on reality television, that happened to him in

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Speaker 1: the eighties in New York. Like, we're just in a

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Speaker 1: kind of cyclical Fuckeray.

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Speaker 5: It's a cyclic fucker is a great way. It's a

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Speaker 5: time loop. Yes, I mean we're just stuck in the

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Speaker 5: same bullshit with him over and over and over and

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Speaker 5: and it is why I think Americans have such a

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Speaker 5: hard time dealing with it because even people who like

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Speaker 5: Trump or support Trump, this week were like, uh, boss, boss,

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Speaker 5: no man, come on, this ain't it chief?

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Speaker 1: This ain't it?

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Speaker 2: Chief?

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Speaker 1: Was that the plane was that that was a lot of.

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Speaker 5: It was about the plane that could The guitaris have

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Speaker 5: been trying to sell since twenty twenty and decision had

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Speaker 5: forest one is actually not the bargain Trump can see to.

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Speaker 1: Be, but even has one, so like, I mean, God,

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Speaker 1: I mean and look.

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Speaker 5: That's a that's a sea tier, a seat tier dictatorship. Honestly, Look,

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Speaker 5: I think what we what we saw this week was

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Speaker 5: two things. One that is Trump centric and one that

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Speaker 5: is about America. All these people in corporate America who

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Speaker 5: got on the plane and went over there with Trump,

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Speaker 5: they now, in his mind, owe him anybody who made

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Speaker 5: a deal over there, or who who it could even

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Speaker 5: tangentially be seen to benefit from being over there. Trump

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Speaker 5: will now think Boeing must do whatever I want forever

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Speaker 5: and ever. They must give me whatever I want forever

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Speaker 5: and ever. You know, Sam Altman is over there, and

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Speaker 5: Ray Diallo's over there, and Blackstone and black Rocks leadership

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Speaker 5: are over there. And all these folks that are sort

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Speaker 5: of dragging along behind Trump, he will make them pay

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Speaker 5: for this trip, literally or metaphorically.

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Speaker 1: Right.

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Speaker 5: Yeah, as for Trump and the and the Trump and

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Speaker 5: the Trump clan, this was pure you know, gimme, gimme, gimme.

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Speaker 5: This was hand out. Whatever you can fork into the bag,

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Speaker 5: I'll take it first.

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Speaker 1: You know. Amazon said we're gonna show how much the

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Speaker 1: tariffs raised prices. Trump was like, no, you're not. Walmart said,

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Speaker 1: we're gonna have to raise price is because of the tariffs.

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Speaker 1: Trump said, no, you're not. You have to eat the tariffs.

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Speaker 4: Again.

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Speaker 5: I was told, by the way, I was told that

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Speaker 5: foreign countries paid those tariffs.

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Speaker 1: Yeah, exactly.

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Speaker 5: I was assured that was how it were.

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Speaker 1: But it turns out that what he meant by foreign

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Speaker 1: countries was American consumers. But so here's a question. Though

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Speaker 1: these are a companyes Walmart is a huge country, country

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Speaker 1: and also company, how do you square this? So you're

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Speaker 1: gonna they're just gonna.

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Speaker 5: The scale of Walmart is such that.

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Speaker 1: By the Americans shop at Walmart some absurd number.

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Speaker 5: But by the time they reached the point where they

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Speaker 5: had to say, hey, we're gonna have to raise prices.

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Speaker 5: You have to understand that they've already done everything they

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Speaker 5: can to keep their suppliers in line, keep prices down,

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Speaker 5: negotiate further down on They're already inexpensive supply chain deals

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Speaker 5: to make up for the tears. All of this is

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Speaker 5: super terrifying for Walmart because they've already done what they can.

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Speaker 5: They've already pushed the levers down as far as they can.

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Speaker 5: So at this point, Walmart is kind of like China.

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Speaker 5: They're an organization that plans on a fifty year scale.

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Speaker 5: Now they're not just quarter to quarter to quarter. They

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Speaker 5: are looking out into the future. And their deal is,

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Speaker 5: we're not going to blow ourselves up financially. We'll take

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Speaker 5: a little bit of a hit from Trump and his people,

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Speaker 5: but where else the fuck you gonna go?

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Speaker 1: Chief? If Walmart raises prices, that is actually better than

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Speaker 1: if Walmart eats the tariffs, because if Walmart is able

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Speaker 1: to somehow keep prices lower, will they will put out

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Speaker 1: all of the other businesses that exist out of business. Right,

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Speaker 1: So it's.

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Speaker 5: Correct, Yeah, so you have you have the exact you

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Speaker 5: have the exact key to this thing.

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Speaker 1: So if you go to the drug store next door

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Speaker 1: and the whatever the hammer is twenty one dollars and

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Speaker 1: you go to Walmart and it's fourteen. Then eventually those

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Speaker 1: mom and pop shops are going to go out of

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Speaker 1: business sooner.

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Speaker 5: Round they're vastly more price sensitive than Walmart or Target

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Speaker 5: or or you know, Amazon to some degree, but other retailers.

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Speaker 5: But once you get below that tier, I mean, these

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Speaker 5: days in America, unfortunately, retail is the pyramid is weirdly inverted.

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Speaker 5: It used to be a lot of small businesses and

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Speaker 5: a few big ones. Now it's a couple of big

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Speaker 5: businesses who take eighty percent probably of the national revenue

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Speaker 5: that's coming into to that kind of sector, and small

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Speaker 5: business is taking twenty percent, but they're going to take

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Speaker 5: a much wilder degree of pain.

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Speaker 1: Yes, and I wonder, I wonder what the sort of

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Speaker 1: larger how you can spin that to be good for anything,

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Speaker 1: including capitalism. But I think.

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Speaker 5: Besides, I mean, but we got to realize this is

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Speaker 5: not capitalism now right, This is crony, this is maoism.

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Speaker 5: We keep talking about it, but this is not capitalism.

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Speaker 5: You know, all those all those fuckers last year who

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Speaker 5: were screaming like, oh, I'm a free market, free market Republican.

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Speaker 5: I'm a big I believe in markets and free enterprise,

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Speaker 5: and Harris will lead to full communism. They don't mind

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Speaker 5: when Donald Trump sets wages and prices. They don't mind

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Speaker 5: when Donald Trump controls the means of production. It's kind

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Speaker 5: of odd.

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Speaker 1: Yes, it's almost as if they're all hypocrites. Almost almost

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Speaker 1: that you will be listening to this podcast on Monday.

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Speaker 1: If all goes well. Tonight Sunday nights ten o'clock, we

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Speaker 1: have another meeting of Mike Johnson and the big beautiful Bill,

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Speaker 1: you know.

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Speaker 5: At ten o'clock on Sunday night. Meeting screams out to me, everything's.

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Speaker 2: Fine, everything is going what could possibly go wrong? Going great?

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Speaker 5: Are going great?

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Speaker 1: When you're a member of Congress and you have a

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Speaker 1: meeting at ten o'clock at night on a Sunday. Mike

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Speaker 1: Johnson has done a number of really amateurish things. Set

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Speaker 1: deadlines he couldn't make right. Is supposed to be done

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Speaker 1: by next weekend. Could have put two bills together instead

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Speaker 1: decided to do one. I think the thinking here is

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Speaker 1: that they're only going to be able to get one

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Speaker 1: piece of legislation passed, which I think is probably very likely.

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Speaker 2: True.

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Speaker 1: But the top line in this House bill that I

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Speaker 1: want you to talk about, Rick Wilson, is something that

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Speaker 1: I feel like we have not been talking about in

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Speaker 1: the pundent industrial complex, and that is eight hundred and

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Speaker 1: eighty billion dollars cut from Medicaid.

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Speaker 5: So it's now about ten days ago. I was told

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Speaker 5: by a reliable person I've known for a long time

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Speaker 5: who said there had been polling done for the Republican

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Speaker 5: Caucus and it was so bad that Mike Johnson refused

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Speaker 5: to let the polling company brief the members. And the

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Speaker 5: worst part of it was that eighty three percent of

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Speaker 5: American voters said that they would be more likely to

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Speaker 5: vote against a candidate who cut Medicare or Medicaid. Yeah,

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Speaker 5: good luck, Chief, because at that point, at that point, you.

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Speaker 1: Tell all Republicans if you have hit.

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Speaker 5: A level where Republicans, no matter how loyal they are

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Speaker 5: to Trump, and no matter how much they want this

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Speaker 5: tax cut, and no matter how scared they are of

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Speaker 5: Elon and all this of their garbage.

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Speaker 1: Yeah, but I don't think they're so scared of the

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Speaker 1: al anymore. So let's talk about that next.

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Speaker 5: But they're going to cut eight hundred billion dollars out

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Speaker 5: of Medicare and Medicaid over a five year window. Which,

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Speaker 5: first off, one thing that people have not figured out

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Speaker 5: yet about this is the minute you do that many many, many, many,

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Speaker 5: many American families who have a father or a mother,

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Speaker 5: a parent or grandparent in a nursing home right now

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Speaker 5: that is partly paid for by Medicaid. They're moving home, chief,

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Speaker 5: they're coming back. You enjoy that, You'll have fun, you'll

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Speaker 5: have phone. That happens.

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Speaker 1: That's the nay mercenario for everyone. That and then also

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Speaker 1: your rural hospital is going to close. But I want

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Speaker 1: let's talk about Elon's more diminished role in the death

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Speaker 1: of democracy. So my man has gotten in there and

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Speaker 1: he's gotten in all the computers, he's fired a ton

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Speaker 1: of people. He's had to rehire some. Right, we have

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Speaker 1: some The FAA seems like it is having some issues,

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Speaker 1: Rick Wilson a little bit.

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Speaker 5: Yeah. You know, Look, they did in fact want to fire,

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Speaker 5: and they did offer early retirement to many of these

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Speaker 5: FAA controllers and many took it. We have about thirteen

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Speaker 5: thousand controllers we were due to hire under the Infrastructure

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Speaker 5: Bill about twenty five hundred more, which we needed that's

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Speaker 5: on hold. They're blaming Pete Butta Judge and Joe Biden

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Speaker 5: for doge cuts which disrupted the FAA. I've talked to

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Speaker 5: people in the FAA who I have been told are mortified.

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Speaker 5: They're working the extra hours, they're covering the extra bases.

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Speaker 5: But this thing has been so screwed up from DC

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Speaker 5: that the head of air Traffic Control took the retirement bonus, yeah,

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Speaker 5: and got out. This is a dangerous situation. Look, and

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Speaker 5: I'm going to do the as a pilot. But as

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Speaker 5: a pilot, I'm not a I don't fly a commercial jet,

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Speaker 5: but I fly in the instrument system all the time.

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Speaker 5: And you rely on these underpaid, overworked, overhassle people to

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Speaker 5: keep four hundred mile an hour, four hundred passenger steel

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Speaker 5: and aluminum tubes from crashing into each other. And it's

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Speaker 5: a pretty good use of my government, of my taxpayer money.

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Speaker 1: Yeah. I would think so too. I would like my

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Speaker 1: taxpayer dollars to.

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Speaker 5: Go to good to not having me killed in a

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Speaker 5: fiery crash.

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Speaker 1: Yeah, yeah, that's my I'm.

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Speaker 5: Against the fiery crash thing.

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Speaker 1: That's my hottest take. But I want to talk about

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Speaker 1: Elon for a minute. She's definitely. Let we don't know again,

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Speaker 1: because we have so little transparency into what the fuck

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Speaker 1: Doge did in our federal government, and years from now

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Speaker 1: we'll probably find out nothing good. Big Balls and his

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Speaker 1: group are still in the government. Computers are federal agencies.

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Speaker 1: But whether or not this is true, there is less

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Speaker 1: Elon in our.

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Speaker 5: Me there's less Elon in the press. And I I

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Speaker 5: have Atrairian take on this, and a lot of people are, oh,

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Speaker 5: he's thrown out, it's over. I have a contrarian take

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Speaker 5: on this. I think that Elon had this is a

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Speaker 5: very deliberate pr strategy to pull him out of the limelight.

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Speaker 5: I do think he had a little bit of fence

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Speaker 5: mending and fixing to do it Tesla and SpaceX, but

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Speaker 5: I think this is a very deliberate let's let's take

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Speaker 5: the heat off Elon by by by you know, making

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Speaker 5: him wear the ballgag for a few weeks. But I

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Speaker 5: still think the fuckery that's going on here that Elon

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Speaker 5: has a direct hand in, like the South Africans coming

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Speaker 5: here right right, which, by the way, the the the

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Speaker 5: oppression of those poor South Africans. You can see that

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Speaker 5: many of them had lost the Battle of Buffet Ridge

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Speaker 5: as they were coming off the plane. These were not

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Speaker 5: people that looked to me like they were that they

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Speaker 5: were draggled war refugees, But in fact they looked like

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Speaker 5: a bunch of fucking middle class people who watch too

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Speaker 5: much television, need too many carbs. Right.

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Speaker 1: But the point, the point of the story is that

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Speaker 1: it's not clear. I think what we both are. We

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Speaker 1: know that Elon pulls slightly below the Saponic plague. Yeah,

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Speaker 1: and so we know that Republicans have a real incentive

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Speaker 1: to make him disappear, especially if you look at what

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Speaker 1: happened in that judicial election in Wisconsin. Ye, the polling

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Speaker 1: was that Elon did not help.

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Speaker 5: Yeah. We tested ads that had the same message and

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Speaker 5: once said Brad Shimmel supports Trump, and it worked. It

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Speaker 5: wasn't it wasn't like a home run. It was like

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Speaker 5: a good, solid double. And then we said took the

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Speaker 5: same message, he supports Trump doing this, this and this.

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Speaker 5: Then we swapped it out and said Brad Shimmell supports

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Speaker 5: Elon and the DOJH agenda to cut medicare, to do this,

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Speaker 5: and it was one hundred and forty five percent more effective.

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Speaker 4: Yeah, insane it was.

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Speaker 5: It was like, fuck, Elon, Yeah, Elon, doesn't that immune response?

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Speaker 5: You know?

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Speaker 1: Yeah, Elon is polling poison. So the question is is

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Speaker 1: he really gone or is he pretend gone.

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Speaker 5: My theory of the case is he has pretended on.

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Speaker 5: I am gonna, I'm gonna, I'm gonna die on this

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Speaker 5: hill that I think he I think he needed a

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Speaker 5: week or two to reset because SpaceX.

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Speaker 1: Has been having a lot of problems and seventy what

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Speaker 1: they had they had an earnings call where they announced

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Speaker 1: that they were down seventy one percent their earnings were down.

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Speaker 1: Imagine like what you have to do for your earnings

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Speaker 1: to be down seventy one percentage And.

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Speaker 5: And think about this in context too. Molly the year

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Speaker 5: before SpaceX is board and it's and and I can't

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Speaker 5: remember her name right now. The chairman of the board

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Speaker 5: was arguing to both the board and to the Delaware

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Speaker 5: Chancery Court that Elon Musk last year deserved a fifty

439
00:23:51,960 --> 00:23:54,080
Speaker 5: four billion dollar annual salary.

440
00:23:54,720 --> 00:23:58,280
Speaker 2: No, it can't be a billion billion.

441
00:23:58,000 --> 00:24:02,080
Speaker 5: Oh no, billion with a book nollions.

442
00:24:02,160 --> 00:24:03,760
Speaker 1: We're going to need a We're going to need a

443
00:24:03,840 --> 00:24:05,240
Speaker 1: fact check from Jesse Cannon.

444
00:24:05,320 --> 00:24:06,280
Speaker 5: Here you can check it out.

445
00:24:06,680 --> 00:24:09,159
Speaker 1: But the point is, uh yeah, so we don't know

446
00:24:09,600 --> 00:24:11,960
Speaker 1: is Elon gone or is Elon pretend to be gone.

447
00:24:12,320 --> 00:24:15,600
Speaker 1: We have no idea. And again I want I want

448
00:24:15,640 --> 00:24:17,760
Speaker 1: to go back to another thing we were talking about before,

449
00:24:17,920 --> 00:24:22,320
Speaker 1: this idea that Trump all these people made these deals, right,

450
00:24:22,400 --> 00:24:25,320
Speaker 1: and they were announcing these deals that were faky numbers.

451
00:24:25,080 --> 00:24:26,880
Speaker 2: Right right, trillion dollars.

452
00:24:27,720 --> 00:24:30,159
Speaker 1: Tell us about some of these Middle Eastern deals that

453
00:24:30,240 --> 00:24:31,439
Speaker 1: they were announcing, you.

454
00:24:31,480 --> 00:24:34,040
Speaker 5: Know, as I was on with Ali Velshi this morning,

455
00:24:34,040 --> 00:24:36,680
Speaker 5: and I refer to them as concepts of a deal. Right,

456
00:24:37,119 --> 00:24:39,480
Speaker 5: This is a this is these are press release promises.

457
00:24:39,560 --> 00:24:44,520
Speaker 5: These are not These are not actual hard number, you know,

458
00:24:44,680 --> 00:24:48,359
Speaker 5: commitments like the I'll give you an example, the the

459
00:24:48,480 --> 00:24:54,120
Speaker 5: supposed deal with with uh uh Tar to buy two

460
00:24:54,160 --> 00:24:57,600
Speaker 5: hundred and fifty billion dollars worth of jets. Well, it's

461
00:24:57,640 --> 00:24:59,600
Speaker 5: really to buy fifty jets with an option to buy

462
00:24:59,640 --> 00:25:03,080
Speaker 5: a hundred more. Okay, none of these things are and

463
00:25:03,160 --> 00:25:06,400
Speaker 5: again this is all such press release hurry up bullshit.

464
00:25:07,040 --> 00:25:08,879
Speaker 5: And some of these deals, by the way, had been

465
00:25:08,960 --> 00:25:12,560
Speaker 5: percolating that the arms deals in particular had been and

466
00:25:12,880 --> 00:25:16,480
Speaker 5: the Boeing deal had been percolating in the background. Since

467
00:25:16,760 --> 00:25:20,720
Speaker 5: well before Trump took office. Some of them were negotiated

468
00:25:20,760 --> 00:25:23,080
Speaker 5: by the Biden administration. They're just taking credit for them.

469
00:25:23,240 --> 00:25:25,560
Speaker 5: But a lot of them are just vaporware, right.

470
00:25:25,680 --> 00:25:28,399
Speaker 1: But I also I love that they were so because

471
00:25:28,440 --> 00:25:31,240
Speaker 1: of everything is fake. They were just getting bigger and

472
00:25:31,280 --> 00:25:35,280
Speaker 1: bigger numbers. You know, I think, oh, Fatari's had a trillion.

473
00:25:35,400 --> 00:25:41,040
Speaker 1: You know, someone's an eight you know, billions, No trillion, billions,

474
00:25:41,840 --> 00:25:42,040
Speaker 1: you know.

475
00:25:42,600 --> 00:25:44,840
Speaker 5: Yeah, none of that to my mind, None of that,

476
00:25:44,920 --> 00:25:51,400
Speaker 5: to my mind, is what we call real. Nobody. Nobody

477
00:25:51,680 --> 00:25:54,840
Speaker 5: in this world who deals with the Middle East, ever,

478
00:25:55,040 --> 00:25:59,560
Speaker 5: who's ever dealt with any business, organization, government, or person

479
00:26:00,400 --> 00:26:04,840
Speaker 5: in that ultra high wealth petro dollar universe, walks away

480
00:26:04,960 --> 00:26:08,680
Speaker 5: believing anything as racist as it was. Even Senator John

481
00:26:08,760 --> 00:26:11,400
Speaker 5: Kennedy said, you know, you can't trust any of these people.

482
00:26:11,600 --> 00:26:15,320
Speaker 5: Lock up your camel. Which look, if I had Campbell's

483
00:26:15,320 --> 00:26:17,840
Speaker 5: I'd be afraid that John Kennedy would come and, you know,

484
00:26:18,240 --> 00:26:19,600
Speaker 5: do unspeakable things to them.

485
00:26:19,640 --> 00:26:22,440
Speaker 1: But well, I also think, like you know, this is

486
00:26:22,560 --> 00:26:25,240
Speaker 1: a little like anti Muslim.

487
00:26:26,600 --> 00:26:30,280
Speaker 5: No, no, it's not. Actually, it's actual real talk. The

488
00:26:30,400 --> 00:26:33,720
Speaker 5: idea though, that Trump right goes and looks at the

489
00:26:33,760 --> 00:26:36,119
Speaker 5: Middle East. Now, I have to say, I think a

490
00:26:36,160 --> 00:26:37,919
Speaker 5: lot of American Jews had to be a little surprised.

491
00:26:37,960 --> 00:26:40,399
Speaker 5: And Israel has been totally cut out of all these discussions.

492
00:26:40,760 --> 00:26:43,399
Speaker 1: Yeah, I'm not surprised. Here's an American Jew who's not.

493
00:26:45,040 --> 00:26:48,119
Speaker 5: Yes, I think I have a little bit sophistication about this.

494
00:26:49,000 --> 00:26:51,159
Speaker 5: But Harris will abandon Israel.

495
00:26:51,560 --> 00:26:51,760
Speaker 1: Yeah.

496
00:26:52,920 --> 00:26:54,400
Speaker 5: By the way, I was wrong about the fifty four

497
00:26:54,640 --> 00:26:56,960
Speaker 5: billion dollar pay day. It was a fifty six billion

498
00:26:57,040 --> 00:26:57,760
Speaker 5: dollar pay day.

499
00:26:57,960 --> 00:26:59,200
Speaker 1: How is that possible?

500
00:26:59,480 --> 00:27:02,560
Speaker 5: It was a I'm looking at Reuter's judge voids Elon's

501
00:27:02,640 --> 00:27:06,520
Speaker 5: unfafthable fifty six billion Tesla pay package. Right, just put

502
00:27:06,560 --> 00:27:07,280
Speaker 5: a link in the chat.

503
00:27:07,720 --> 00:27:11,199
Speaker 1: Okay, all right, I'm Ridy Wilson again.

504
00:27:11,880 --> 00:27:12,400
Speaker 2: Correct.

505
00:27:15,720 --> 00:27:19,320
Speaker 1: Callum Williams is a senior economics writer for The Economist.

506
00:27:20,119 --> 00:27:23,399
Speaker 2: Welcome to Fast Politics.

507
00:27:22,840 --> 00:27:25,360
Speaker 4: Callum, thank you very much for having me. It's nice

508
00:27:25,400 --> 00:27:25,760
Speaker 4: to be here.

509
00:27:26,280 --> 00:27:29,639
Speaker 2: So let us talk about Generation X.

510
00:27:30,000 --> 00:27:31,159
Speaker 1: Are you generation X?

511
00:27:31,240 --> 00:27:34,080
Speaker 4: First of all, No, I'm certainly not. I'm right in

512
00:27:34,119 --> 00:27:35,240
Speaker 4: the middle of the millennials.

513
00:27:35,600 --> 00:27:36,760
Speaker 2: Oh that's so annoying.

514
00:27:36,960 --> 00:27:39,200
Speaker 1: This was a really interesting article that I read the

515
00:27:39,280 --> 00:27:43,320
Speaker 1: Economist that got me really As Jesse and I are

516
00:27:43,400 --> 00:27:44,240
Speaker 1: both Generation X.

517
00:27:44,359 --> 00:27:48,520
Speaker 2: First, define what generation ACTS is. How old is Generation X?

518
00:27:48,920 --> 00:27:52,119
Speaker 6: Typically these are people who were born between nineteen sixty

519
00:27:52,200 --> 00:27:54,359
Speaker 6: five and nineteen eighty. I mean, there's a bit of,

520
00:27:54,760 --> 00:27:57,320
Speaker 6: you know, poinless debate about really where the boundary is,

521
00:27:57,359 --> 00:27:58,640
Speaker 6: but it's roughly between those years.

522
00:27:58,960 --> 00:28:02,879
Speaker 1: So let's talk for a minute about what it looks

523
00:28:03,280 --> 00:28:05,879
Speaker 1: like for these people sort of where they are in

524
00:28:05,960 --> 00:28:06,600
Speaker 1: their lives.

525
00:28:07,040 --> 00:28:09,879
Speaker 6: Okay, well, I suppose you would say that they are

526
00:28:10,080 --> 00:28:14,560
Speaker 6: in early middle age on average. You know, they've they've

527
00:28:14,680 --> 00:28:17,800
Speaker 6: they've obviously left college a long time ago. If they're

528
00:28:17,840 --> 00:28:20,080
Speaker 6: going to have kids, that they're likely to have happened

529
00:28:20,119 --> 00:28:20,359
Speaker 6: by now.

530
00:28:20,480 --> 00:28:22,000
Speaker 4: Not certain, but but likely.

531
00:28:22,280 --> 00:28:24,800
Speaker 6: They're at a point in their careers where, you know,

532
00:28:24,920 --> 00:28:27,600
Speaker 6: it's kind of they've probably reached the peak of where

533
00:28:27,600 --> 00:28:29,560
Speaker 6: they'll be in their in their career. They're not yet

534
00:28:29,760 --> 00:28:33,280
Speaker 6: retiring unless they've been enormously successful and sold the company

535
00:28:33,359 --> 00:28:35,280
Speaker 6: or anything. So you know, in that kind of period

536
00:28:35,320 --> 00:28:37,160
Speaker 6: of life, I would say, you know that the parents

537
00:28:37,240 --> 00:28:40,760
Speaker 6: are possibly still alive, possibly pretty old now, and their

538
00:28:40,840 --> 00:28:43,440
Speaker 6: kids are kind of not probably super young, but kind

539
00:28:43,480 --> 00:28:45,320
Speaker 6: of their kids are starting to move out of the house,

540
00:28:45,400 --> 00:28:47,080
Speaker 6: so they're in that kind of that kind of age.

541
00:28:47,320 --> 00:28:49,600
Speaker 1: I think it's fair to say that this, or at

542
00:28:49,720 --> 00:28:52,560
Speaker 1: least the sort of the thought of this piece was

543
00:28:52,600 --> 00:28:56,880
Speaker 1: that we in generation acts are the least written about

544
00:28:57,280 --> 00:29:00,360
Speaker 1: and thought about generation in some time.

545
00:29:00,520 --> 00:29:04,000
Speaker 6: Right explained to us that that's exactly right. So, you know,

546
00:29:04,080 --> 00:29:06,320
Speaker 6: the Baby Boomers get a lot of hate, I would say,

547
00:29:06,560 --> 00:29:07,400
Speaker 6: because they've done.

548
00:29:07,280 --> 00:29:10,760
Speaker 2: So well, yes, and maybe that's not the only reason,

549
00:29:10,960 --> 00:29:12,440
Speaker 2: I continue, Yeah, yeah.

550
00:29:12,400 --> 00:29:12,680
Speaker 5: Maybe not.

551
00:29:12,920 --> 00:29:14,600
Speaker 6: So they get a lot of press, as it were,

552
00:29:14,760 --> 00:29:17,160
Speaker 6: had a lot of interest. And then the Millennials, maybe

553
00:29:17,200 --> 00:29:19,840
Speaker 6: less than before, but certainly in the twenty tens, like

554
00:29:19,880 --> 00:29:22,280
Speaker 6: people often talks about it, you know, how much millennials

555
00:29:22,280 --> 00:29:24,360
Speaker 6: were struggling to buy a house and how they've been

556
00:29:24,400 --> 00:29:26,520
Speaker 6: screwed over by their financial crisis and a lot of stuff.

557
00:29:26,520 --> 00:29:27,600
Speaker 6: So they've got a lot of press.

558
00:29:27,720 --> 00:29:30,160
Speaker 4: And then gen Z. Of course everyone's talking about gen Z.

559
00:29:30,320 --> 00:29:32,680
Speaker 6: You know, people worry about the effect that social media

560
00:29:32,760 --> 00:29:34,760
Speaker 6: is having on gen Z and whether gen Z are

561
00:29:34,880 --> 00:29:36,840
Speaker 6: entitled and all this kind of stuff. But the weird

562
00:29:36,920 --> 00:29:39,000
Speaker 6: thing was that actually people don't really talk about gen

563
00:29:39,120 --> 00:29:41,320
Speaker 6: X all that much, Like there aren't really many books

564
00:29:41,360 --> 00:29:44,240
Speaker 6: about gen X, there's not many many memes about gen X,

565
00:29:44,320 --> 00:29:46,240
Speaker 6: so it just seemed like a big gap in the literature,

566
00:29:46,280 --> 00:29:48,400
Speaker 6: and so I was looking at what's going on with

567
00:29:48,480 --> 00:29:49,680
Speaker 6: this with this generation?

568
00:29:50,040 --> 00:29:51,480
Speaker 2: So why is that?

569
00:29:52,080 --> 00:29:53,880
Speaker 4: Well, I think there's a few things going on.

570
00:29:54,240 --> 00:29:57,960
Speaker 6: One is that they are a relatively small generation in

571
00:29:58,080 --> 00:29:59,920
Speaker 6: comparison with the Baby Boomers. So there was you know,

572
00:30:00,000 --> 00:30:02,440
Speaker 6: in the US, there was this enormous surgeon in births

573
00:30:03,000 --> 00:30:05,280
Speaker 6: after World War Two, and that created this big kind

574
00:30:05,280 --> 00:30:07,480
Speaker 6: of co orp which you just don't really have with

575
00:30:07,720 --> 00:30:08,560
Speaker 6: with with Gen X.

576
00:30:08,720 --> 00:30:10,200
Speaker 4: But I guess also, like you know.

577
00:30:10,240 --> 00:30:12,120
Speaker 6: I guess it's probably to do with the fact that

578
00:30:12,360 --> 00:30:16,200
Speaker 6: the Millennials and Gen Z have just been growing up

579
00:30:16,240 --> 00:30:19,080
Speaker 6: at recently, right, you know, people are more interested in

580
00:30:19,880 --> 00:30:22,000
Speaker 6: like young people than they are in middle aged people.

581
00:30:22,080 --> 00:30:24,240
Speaker 6: So it's partly to do with kind of where we

582
00:30:24,360 --> 00:30:27,320
Speaker 6: are in the long term use cycle. It's you know,

583
00:30:27,320 --> 00:30:29,080
Speaker 6: it's nothing that Generics has done wrong, it's just that

584
00:30:29,160 --> 00:30:32,480
Speaker 6: they've they're just that the sort of boring age I suppose, I.

585
00:30:32,560 --> 00:30:36,480
Speaker 1: Mean, yes and no, though, right, it strikes me that

586
00:30:36,600 --> 00:30:41,040
Speaker 1: there was more written about other generations too, right as.

587
00:30:40,920 --> 00:30:42,840
Speaker 6: You were saying, you're saying, so twenty years ago, that

588
00:30:42,920 --> 00:30:44,480
Speaker 6: was probably more written about baby rivers.

589
00:30:44,880 --> 00:30:46,680
Speaker 4: Yeah, when they were in middle age. That's that's right.

590
00:30:46,720 --> 00:30:49,680
Speaker 6: I mean, I don't know about that because my sense

591
00:30:49,760 --> 00:30:53,480
Speaker 6: is that interest in the generations has really taken off

592
00:30:53,520 --> 00:30:55,840
Speaker 6: in the past, like I would say, fifteen years. So

593
00:30:56,400 --> 00:30:59,040
Speaker 6: you know, the idea that people belong to a specific

594
00:30:59,120 --> 00:31:02,640
Speaker 6: generation is not something that's been around for a very

595
00:31:02,680 --> 00:31:04,920
Speaker 6: long time. But if you went back fifty years, no

596
00:31:05,040 --> 00:31:07,680
Speaker 6: one was really talking about like the baby Boomers or

597
00:31:07,880 --> 00:31:09,480
Speaker 6: you know, and if you ask someone like, what's the

598
00:31:09,560 --> 00:31:11,040
Speaker 6: generation before baby Boomers?

599
00:31:11,520 --> 00:31:12,760
Speaker 2: The greatest generation?

600
00:31:13,480 --> 00:31:13,840
Speaker 5: All right?

601
00:31:13,960 --> 00:31:16,400
Speaker 6: So okay, well I can push that question again that

602
00:31:16,560 --> 00:31:19,120
Speaker 6: what's before that? And what's before that? Then you know,

603
00:31:19,280 --> 00:31:22,400
Speaker 6: you ask someone like, what's something fairly modern. Yeah, it's

604
00:31:23,000 --> 00:31:24,480
Speaker 6: not just a modern thing. I'd say it's like a

605
00:31:24,520 --> 00:31:28,200
Speaker 6: twentieth maybe even twenty first century thing. So yeah, But

606
00:31:28,320 --> 00:31:30,000
Speaker 6: I think also the other thing to spare in mind

607
00:31:30,120 --> 00:31:34,640
Speaker 6: is that, like the ability for us to analyze generations

608
00:31:34,960 --> 00:31:39,200
Speaker 6: in a rigorous data driven way, that it's definitely very

609
00:31:39,360 --> 00:31:41,520
Speaker 6: new because what you need to be able to do,

610
00:31:41,640 --> 00:31:42,959
Speaker 6: right is you need to be able to look at

611
00:31:42,960 --> 00:31:46,360
Speaker 6: at a given person of given age over time. It's

612
00:31:46,400 --> 00:31:48,400
Speaker 6: a bit sort of like follow that person from when

613
00:31:48,400 --> 00:31:50,520
Speaker 6: they're in their twenties to win their threads in their forties. Now,

614
00:31:50,560 --> 00:31:53,520
Speaker 6: that requires very detailed, in very high quality data, and

615
00:31:53,560 --> 00:31:54,840
Speaker 6: that really hasn't been amount for very long.

616
00:31:55,160 --> 00:31:59,400
Speaker 1: That's certainly true. Why is generation acts the most sort

617
00:31:59,400 --> 00:32:00,920
Speaker 1: of fun generation?

618
00:32:01,440 --> 00:32:04,200
Speaker 6: Well, the argument is that in two ways. So one

619
00:32:04,280 --> 00:32:06,360
Speaker 6: way is to do with the age that they're at

620
00:32:06,480 --> 00:32:09,240
Speaker 6: right now, right, and then the other way is to

621
00:32:09,280 --> 00:32:12,240
Speaker 6: do with the actual cohort of people, the actual specific

622
00:32:12,600 --> 00:32:15,080
Speaker 6: people who are you know, maybe in their forties now,

623
00:32:15,160 --> 00:32:17,000
Speaker 6: but will be in their fifties and ten years time.

624
00:32:17,320 --> 00:32:21,200
Speaker 6: So in terms of where they are right now, they

625
00:32:21,240 --> 00:32:23,080
Speaker 6: are at the bottom of what people call the U

626
00:32:23,200 --> 00:32:25,280
Speaker 6: bend of life right, which is essentially the idea that

627
00:32:25,400 --> 00:32:27,840
Speaker 6: you're you're happy when you're young, and you're happy when

628
00:32:27,880 --> 00:32:30,200
Speaker 6: you're old, but you're miserable in middle age. And that

629
00:32:30,360 --> 00:32:33,280
Speaker 6: is for all kinds of reasons including yeah.

630
00:32:33,160 --> 00:32:36,239
Speaker 2: Why why are we miserable? Jesse and I want to now,

631
00:32:37,080 --> 00:32:37,520
Speaker 2: So what I.

632
00:32:37,520 --> 00:32:39,360
Speaker 6: Would say for us is that this I think that

633
00:32:39,440 --> 00:32:42,200
Speaker 6: the evidence for this ubrend is is not bad. Actually,

634
00:32:42,320 --> 00:32:44,640
Speaker 6: I mean, it's hard to measure, but it seems pretty clear.

635
00:32:45,800 --> 00:32:49,800
Speaker 6: One factor is this this idea that you're responsible both

636
00:32:49,920 --> 00:32:56,000
Speaker 6: for young slash youngish children and responsible for old oldish parents,

637
00:32:56,160 --> 00:32:56,920
Speaker 6: So you're kind.

638
00:32:56,840 --> 00:32:59,360
Speaker 4: Of being pulled in both directions, right.

639
00:32:59,480 --> 00:33:01,240
Speaker 6: So that's a lot of work, and we did some

640
00:33:01,360 --> 00:33:03,320
Speaker 6: work to show that both in terms of the time

641
00:33:03,520 --> 00:33:06,160
Speaker 6: spent on caring for others and the money spent on

642
00:33:06,280 --> 00:33:08,880
Speaker 6: caring for others, gen X does a lot more about

643
00:33:08,880 --> 00:33:09,959
Speaker 6: in all generations right now.

644
00:33:10,000 --> 00:33:10,680
Speaker 4: So that's one thing.

645
00:33:11,520 --> 00:33:13,720
Speaker 6: When people get chronic health problems, they tend to emerge

646
00:33:13,720 --> 00:33:17,080
Speaker 6: around this time. People also kind of come to realize

647
00:33:17,080 --> 00:33:19,400
Speaker 6: that their career has really topped out, and so you know,

648
00:33:19,440 --> 00:33:21,360
Speaker 6: they might have aspired to be the CEO, but they

649
00:33:22,000 --> 00:33:24,320
Speaker 6: kind of realized by their fifties it's not going to happen.

650
00:33:24,360 --> 00:33:27,400
Speaker 6: So that's kind of depressing. Yeah, I guess those are

651
00:33:27,440 --> 00:33:28,800
Speaker 6: the main reasons. And you can see that in the

652
00:33:28,840 --> 00:33:31,520
Speaker 6: survey data that you ask people in loads of different

653
00:33:31,520 --> 00:33:34,320
Speaker 6: countries like how happy are you, and people who are

654
00:33:34,360 --> 00:33:36,800
Speaker 6: in Generation X are less likely to say they're happy

655
00:33:36,840 --> 00:33:38,040
Speaker 6: than people in other generations.

656
00:33:38,680 --> 00:33:40,680
Speaker 2: M That is interesting.

657
00:33:41,480 --> 00:33:44,360
Speaker 1: So you think that they are less happy because of

658
00:33:44,480 --> 00:33:48,920
Speaker 1: their age and not because they have had less positive

659
00:33:48,960 --> 00:33:51,480
Speaker 1: struggle like boomers made a ton of money.

660
00:33:52,080 --> 00:33:53,960
Speaker 2: You don't think it's that's the reason.

661
00:33:54,120 --> 00:33:56,160
Speaker 6: Right, I see what you're saying. Yeah, it's a good question.

662
00:33:56,280 --> 00:33:58,200
Speaker 6: I mean, to be perfectly honest, it's hard to know

663
00:33:58,280 --> 00:34:01,400
Speaker 6: for sure. All I would say is that the U

664
00:34:01,480 --> 00:34:03,760
Speaker 6: bend idea has been around for quite a long time,

665
00:34:04,040 --> 00:34:07,360
Speaker 6: and so you typically do see that. For example, the

666
00:34:07,440 --> 00:34:09,839
Speaker 6: baby rooms appear to go through the same thing where

667
00:34:09,880 --> 00:34:12,640
Speaker 6: they were relatively unhappy when they were in their late

668
00:34:12,719 --> 00:34:15,840
Speaker 6: forties and fifties, and then they kind of saved it

669
00:34:15,960 --> 00:34:18,000
Speaker 6: when they moved into into their sixties and they've got

670
00:34:18,040 --> 00:34:20,879
Speaker 6: happier again. So I but I agree with you could

671
00:34:20,880 --> 00:34:22,920
Speaker 6: be right that this could also be a cohort problem

672
00:34:23,280 --> 00:34:25,560
Speaker 6: rather than just the kind of life stage of life problem.

673
00:34:26,120 --> 00:34:27,120
Speaker 4: But it's hard to be sure.

674
00:34:27,440 --> 00:34:28,879
Speaker 2: Are boomers happier now?

675
00:34:29,520 --> 00:34:29,719
Speaker 5: Yes?

676
00:34:30,160 --> 00:34:30,359
Speaker 1: Why?

677
00:34:31,160 --> 00:34:33,759
Speaker 6: Well, I think your view of life goes through some

678
00:34:33,880 --> 00:34:37,480
Speaker 6: kind of evolution. Right, you leave your job and maybe retire.

679
00:34:37,719 --> 00:34:40,040
Speaker 6: You go and spend all their golfing or going on cruises.

680
00:34:40,239 --> 00:34:42,440
Speaker 6: You've got more time on your hands. Your kids are

681
00:34:42,440 --> 00:34:44,799
Speaker 6: probably grown up, so they are looking after you rather

682
00:34:44,880 --> 00:34:47,560
Speaker 6: than you looking after them. Your parents have died, so

683
00:34:47,680 --> 00:34:50,200
Speaker 6: you don't have them to take care of. You know,

684
00:34:50,520 --> 00:34:52,480
Speaker 6: I think there's lots of reasons to expect people to

685
00:34:52,520 --> 00:34:54,040
Speaker 6: get happier if they properly age.

686
00:34:54,640 --> 00:34:58,080
Speaker 1: Do you think that the sort of higher rate of

687
00:34:58,320 --> 00:35:04,480
Speaker 1: illness caused by whatever have affected my generation, our Generation Generation.

688
00:35:04,400 --> 00:35:06,320
Speaker 6: X, Well, they are, but I mean if you look, certainly,

689
00:35:06,320 --> 00:35:08,640
Speaker 6: if you look at the on mental health stuff, so

690
00:35:08,680 --> 00:35:12,480
Speaker 6: you look at questions of anxiety and despair and nut

691
00:35:12,560 --> 00:35:15,480
Speaker 6: kind of thing. You know, there's the U shape is

692
00:35:15,560 --> 00:35:18,279
Speaker 6: pretty it's pretty stark. Actually, like when you're in your

693
00:35:18,360 --> 00:35:21,200
Speaker 6: particularly we're kind of around age fifty, if you are

694
00:35:21,360 --> 00:35:25,439
Speaker 6: going to be anxious, it will be then basically. And yeah,

695
00:35:25,520 --> 00:35:28,560
Speaker 6: so on the kind of physical health problems like mobility

696
00:35:28,760 --> 00:35:31,800
Speaker 6: and you know, being diagnosed with some bad disease or

697
00:35:31,840 --> 00:35:34,120
Speaker 6: something like. I mean that's more anecdotal, I think, at

698
00:35:34,200 --> 00:35:35,840
Speaker 6: least in terms of such idea, but it you know,

699
00:35:35,920 --> 00:35:38,640
Speaker 6: it seems obviously correct that the older you get, the

700
00:35:38,680 --> 00:35:41,440
Speaker 6: more at risk you are of developing these problems.

701
00:35:41,520 --> 00:35:42,960
Speaker 4: So yeah, I think I think that's right.

702
00:35:43,000 --> 00:35:44,800
Speaker 6: But as I say, I don't think this is something

703
00:35:44,880 --> 00:35:49,080
Speaker 6: that affects necessarily affects Generation X more than other generations.

704
00:35:49,200 --> 00:35:51,480
Speaker 6: I'm sure that when I'm in my fifties, I will

705
00:35:51,520 --> 00:35:54,160
Speaker 6: also reach a peak of anxiety, and you know, I

706
00:35:54,280 --> 00:35:56,880
Speaker 6: will become more likely to realize I can't run like

707
00:35:56,960 --> 00:35:58,440
Speaker 6: I used to and all that kind of stuff.

708
00:35:58,480 --> 00:36:00,680
Speaker 4: So I'm going to go through it like everyone else.

709
00:36:00,800 --> 00:36:04,560
Speaker 6: Oh so you think this is like midlife crisis. Yeah,

710
00:36:04,560 --> 00:36:06,040
Speaker 6: I mean you could call it a mid life crisis.

711
00:36:06,080 --> 00:36:09,080
Speaker 6: I guess it's a reflection that you of your that

712
00:36:09,160 --> 00:36:10,880
Speaker 6: your body is not what it used to be. Right,

713
00:36:11,400 --> 00:36:12,840
Speaker 6: you can't do all the things you used to be

714
00:36:12,880 --> 00:36:14,680
Speaker 6: able to do, Like you know, when you're in your

715
00:36:14,840 --> 00:36:16,640
Speaker 6: Maybe when you're in your thirties you can still go

716
00:36:16,719 --> 00:36:18,759
Speaker 6: out and drink a lot and be fine the next day.

717
00:36:18,800 --> 00:36:21,040
Speaker 6: Maybe that's less true in your forties and fifties, all

718
00:36:21,080 --> 00:36:22,960
Speaker 6: those kind of things like going out and paying soccer

719
00:36:23,000 --> 00:36:25,120
Speaker 6: with your kids. You like, you realize that you can't

720
00:36:25,280 --> 00:36:27,200
Speaker 6: turn as quickly as you used to, or you're more

721
00:36:27,320 --> 00:36:29,400
Speaker 6: likely to get injured and all this kind of stuff.

722
00:36:29,480 --> 00:36:32,240
Speaker 4: Like it's as you know, that's a depressing realization for anyone.

723
00:36:32,280 --> 00:36:37,200
Speaker 1: I think, do Americans seem less happy overall than other countries?

724
00:36:38,120 --> 00:36:39,400
Speaker 2: How does this break down.

725
00:36:39,400 --> 00:36:40,120
Speaker 4: America is about?

726
00:36:40,160 --> 00:36:42,439
Speaker 6: In the middle, I would say of the happiness people

727
00:36:42,560 --> 00:36:45,320
Speaker 6: love to do cross country comparisons of happiness. But you know,

728
00:36:45,440 --> 00:36:48,239
Speaker 6: happiness the word happiness or whatever the word is in

729
00:36:48,440 --> 00:36:50,920
Speaker 6: different languages that you know, that means different things in

730
00:36:50,960 --> 00:36:53,480
Speaker 6: different countries. You know, happiness, I think for us in

731
00:36:53,760 --> 00:36:56,600
Speaker 6: the kind of English speaking West can often mean like

732
00:36:56,880 --> 00:36:59,800
Speaker 6: a great sense of fulfillment or like joy, whereas I

733
00:36:59,840 --> 00:37:03,040
Speaker 6: think can maybe scan Scandinavia it means more like contentment.

734
00:37:03,280 --> 00:37:05,239
Speaker 6: You know, those those do being different things. So I

735
00:37:05,320 --> 00:37:07,759
Speaker 6: think it's hard to say that country X is clearly

736
00:37:07,800 --> 00:37:10,480
Speaker 6: happy in the country why, you know, Like Japan, for example,

737
00:37:10,520 --> 00:37:13,040
Speaker 6: always comes out very badly on these on these topics

738
00:37:13,120 --> 00:37:16,080
Speaker 6: of on these questions of happiness, Japan seeds incredibly unhappy.

739
00:37:16,280 --> 00:37:16,520
Speaker 1: Now I.

740
00:37:18,040 --> 00:37:20,960
Speaker 6: Don't know if you can really be sure that it

741
00:37:21,160 --> 00:37:24,319
Speaker 6: actually is like full of really unhappy people, just because

742
00:37:24,360 --> 00:37:26,680
Speaker 6: again the term happiness will mean something different in Japan

743
00:37:26,760 --> 00:37:28,120
Speaker 6: than it does in the US. But so what I

744
00:37:28,200 --> 00:37:30,440
Speaker 6: would tend to do is look at, you know, how

745
00:37:30,520 --> 00:37:33,840
Speaker 6: it's happiness changing over time within a country. Now, what

746
00:37:34,000 --> 00:37:35,759
Speaker 6: is very clear is that the US has it does

747
00:37:35,800 --> 00:37:38,800
Speaker 6: seem to have become less happy over the past stay decade,

748
00:37:38,880 --> 00:37:41,520
Speaker 6: fifteen years, not not massively so, and other countries have

749
00:37:41,560 --> 00:37:43,799
Speaker 6: got worse, but yeah, it has become less happy.

750
00:37:44,160 --> 00:37:46,839
Speaker 1: Do you be said about how the other countries feel

751
00:37:46,840 --> 00:37:48,399
Speaker 1: about America right now.

752
00:37:49,239 --> 00:37:51,880
Speaker 6: Well, so I'm based in the US, but obviously I'm British,

753
00:37:52,120 --> 00:37:54,760
Speaker 6: so I can tell you that there is a bit better.

754
00:37:55,000 --> 00:37:56,680
Speaker 1: And you guys have done a lot of work on

755
00:37:56,800 --> 00:37:58,760
Speaker 1: this at the Economist, which is why I'm asking.

756
00:37:59,000 --> 00:38:01,279
Speaker 6: Yeah, you know, so they do these polls about who

757
00:38:01,280 --> 00:38:03,440
Speaker 6: would you vote for in the election? They did they

758
00:38:03,520 --> 00:38:06,600
Speaker 6: did a global poll just before the twenty twenty four election,

759
00:38:06,640 --> 00:38:10,200
Speaker 6: and obviously, you know, the Democrats win in a complete landslide.

760
00:38:10,600 --> 00:38:12,959
Speaker 6: I think people are quite shocked by the stuff about

761
00:38:13,120 --> 00:38:16,320
Speaker 6: defense and about the tariffs, so I would say, but

762
00:38:16,680 --> 00:38:18,759
Speaker 6: you know, I think, you know, people are smart. They

763
00:38:18,800 --> 00:38:22,920
Speaker 6: are able to distinguish between the actions of an administration

764
00:38:23,120 --> 00:38:25,960
Speaker 6: and what they encounter when they either come to America

765
00:38:26,040 --> 00:38:28,520
Speaker 6: or meet Americans. There was a lot of concern actually

766
00:38:28,840 --> 00:38:33,160
Speaker 6: the other day about this idea that travel from Europe

767
00:38:33,239 --> 00:38:35,400
Speaker 6: to the US has fallen off cliff and this idea

768
00:38:35,520 --> 00:38:39,000
Speaker 6: going around, particularly in the Financial Times, that Europeans were

769
00:38:39,040 --> 00:38:42,000
Speaker 6: canceling travel to the US because they hated Trump so much.

770
00:38:42,239 --> 00:38:44,319
Speaker 6: And actually that's turned out it could be completely wrong,

771
00:38:44,440 --> 00:38:46,120
Speaker 6: but it's just a kind of very basic stake that

772
00:38:46,239 --> 00:38:48,720
Speaker 6: they made in doing this stuff, and people still.

773
00:38:48,560 --> 00:38:49,400
Speaker 4: Come come to US a lot.

774
00:38:49,440 --> 00:38:51,719
Speaker 6: I mean, I'm in San Francisco, San Francisco, so there's

775
00:38:51,719 --> 00:38:53,479
Speaker 6: loads of tourists from Germany, and it's.

776
00:38:53,760 --> 00:38:54,640
Speaker 2: What's the mistake.

777
00:38:54,960 --> 00:38:58,320
Speaker 6: Well, basically what they did was they looked at the

778
00:38:58,480 --> 00:39:03,040
Speaker 6: year on year page change in people from Europe coming

779
00:39:03,080 --> 00:39:05,040
Speaker 6: to the US. And what you can see is that

780
00:39:05,160 --> 00:39:07,719
Speaker 6: I think it was in March of twenty twenty five,

781
00:39:08,160 --> 00:39:09,960
Speaker 6: the year on year change from Europe was like it

782
00:39:10,040 --> 00:39:12,040
Speaker 6: was like down like twenty percent or something. So could

783
00:39:12,080 --> 00:39:15,440
Speaker 6: say there is everyone freakdowns, like Europeans are canceling their

784
00:39:15,440 --> 00:39:18,719
Speaker 6: holidays to the US and it's because they hate Trump.

785
00:39:19,120 --> 00:39:22,200
Speaker 6: And actually what had happened was that in March of

786
00:39:22,280 --> 00:39:25,640
Speaker 6: twenty twenty four, so the year before, there was this

787
00:39:25,800 --> 00:39:29,839
Speaker 6: really weird spike surge in tourists and people visitors coming

788
00:39:29,880 --> 00:39:31,680
Speaker 6: from Europe to the US. I think it was to

789
00:39:31,760 --> 00:39:33,279
Speaker 6: do the Time of the East or something, And so

790
00:39:33,480 --> 00:39:36,840
Speaker 6: the comparison with twenty twenty five is really unfavorable. And

791
00:39:36,960 --> 00:39:39,520
Speaker 6: in fact, if you just looked at the level of

792
00:39:39,800 --> 00:39:41,440
Speaker 6: people coming to the US, it was fine, there was

793
00:39:41,480 --> 00:39:43,160
Speaker 6: no change. It was just because you were comparing it

794
00:39:43,239 --> 00:39:46,520
Speaker 6: with a really unusually strong month in the previous year,

795
00:39:46,840 --> 00:39:48,880
Speaker 6: and it looked really bad. But then if you look

796
00:39:48,880 --> 00:39:51,160
Speaker 6: at what's happened in April the year on your comparison

797
00:39:51,280 --> 00:39:54,399
Speaker 6: is much more kind of fair, honest, then in fact

798
00:39:54,400 --> 00:39:56,640
Speaker 6: there's no change at all. But I suspect that many

799
00:39:56,680 --> 00:39:58,680
Speaker 6: of the people that wrote that European tours into the

800
00:39:58,760 --> 00:40:01,000
Speaker 6: US is collapsed. I'm not going to be pieces of saying, oh, no,

801
00:40:01,080 --> 00:40:03,560
Speaker 6: it hasn't actually collapsed, because that's the nature of the

802
00:40:03,680 --> 00:40:04,319
Speaker 6: media these days.

803
00:40:04,320 --> 00:40:07,040
Speaker 1: But there you go, Yeah, is that media or is

804
00:40:07,120 --> 00:40:09,920
Speaker 1: that hyperpartisanship? What is that?

805
00:40:10,440 --> 00:40:10,600
Speaker 5: Well?

806
00:40:10,640 --> 00:40:11,799
Speaker 4: I think it's probably a bit of both.

807
00:40:11,880 --> 00:40:14,720
Speaker 6: It's you know, you see in academia too, where people

808
00:40:14,800 --> 00:40:18,160
Speaker 6: will publish results if they're exciting, but then they won't

809
00:40:18,400 --> 00:40:20,560
Speaker 6: report on results when they're not exciting, if you know.

810
00:40:20,640 --> 00:40:20,960
Speaker 5: What I mean.

811
00:40:21,239 --> 00:40:24,120
Speaker 1: Is this a collapse of the sort of attention economy?

812
00:40:24,320 --> 00:40:27,120
Speaker 1: Is Is it just so hungry for attention that it

813
00:40:27,320 --> 00:40:31,000
Speaker 1: has a sort of attention to itself into no longer

814
00:40:31,080 --> 00:40:33,640
Speaker 1: being true? I think it's definitely. I think it's definitely that.

815
00:40:33,719 --> 00:40:36,640
Speaker 1: And I think getting clicks on Twitter is obviously massages

816
00:40:36,680 --> 00:40:38,319
Speaker 1: people's egos to a great degree. So I think it's

817
00:40:38,400 --> 00:40:40,640
Speaker 1: very nice to get clicks on Twitter, so I think, yeah,

818
00:40:40,640 --> 00:40:42,120
Speaker 1: there's a bigger sense to do that. I think the

819
00:40:42,160 --> 00:40:44,759
Speaker 1: spectru of Trump is something the journalists I think have

820
00:40:44,880 --> 00:40:46,719
Speaker 1: to be much more careful about than they are. I

821
00:40:46,800 --> 00:40:51,560
Speaker 1: think what basically what's happened is people most journalists, I

822
00:40:51,600 --> 00:40:53,520
Speaker 1: would say, wouldn't have voted for Trump. I think that's

823
00:40:53,520 --> 00:40:55,759
Speaker 1: probably fair, and I can go so far. I said

824
00:40:55,760 --> 00:40:58,000
Speaker 1: that most journalists really don't like Trump, and so I

825
00:40:58,080 --> 00:41:00,840
Speaker 1: think what they there's this behave you all bias? I

826
00:41:00,880 --> 00:41:04,920
Speaker 1: think as a result to finding stories that confirm what

827
00:41:05,040 --> 00:41:08,040
Speaker 1: they would like to believe, which is that Trump's awful,

828
00:41:08,320 --> 00:41:10,239
Speaker 1: and so people will do things and say things and

829
00:41:10,320 --> 00:41:12,640
Speaker 1: respond in a way that accords with the notion that

830
00:41:12,680 --> 00:41:15,320
Speaker 1: Trump is awful. So I think probably when people see.

831
00:41:15,160 --> 00:41:18,880
Speaker 2: This right story like this, it makes sense because they

832
00:41:19,000 --> 00:41:19,400
Speaker 2: believe it.

833
00:41:19,400 --> 00:41:23,080
Speaker 6: It's too good, And I think that blunts your critical faculties.

834
00:41:23,120 --> 00:41:24,600
Speaker 6: And I think, you know, had it been that's safe,

835
00:41:24,600 --> 00:41:26,640
Speaker 6: for example, that Kamala had won, and in fact, it

836
00:41:26,680 --> 00:41:29,200
Speaker 6: probably would have been exactly the same, tourism in March

837
00:41:29,239 --> 00:41:30,759
Speaker 6: twenty twenty five to the US probably would have been

838
00:41:30,760 --> 00:41:33,760
Speaker 6: twenty five twenty percent down as well. I strongly suspect

839
00:41:33,800 --> 00:41:36,520
Speaker 6: that no one would have written the piece saying everyone

840
00:41:36,600 --> 00:41:38,920
Speaker 6: hates Kamala, they're a band in it. It just wouldn't

841
00:41:38,920 --> 00:41:40,680
Speaker 6: have happened, right, So I think we have to be

842
00:41:40,800 --> 00:41:42,320
Speaker 6: very and I'm sure, I'm sure you think about this

843
00:41:42,320 --> 00:41:43,360
Speaker 6: aholl time, but I think you have to be so

844
00:41:43,440 --> 00:41:45,719
Speaker 6: careful about like, you know, would I have written this

845
00:41:45,800 --> 00:41:48,200
Speaker 6: piece if there was a politician in charge that I like?

846
00:41:48,600 --> 00:41:50,400
Speaker 6: Is always that question you got to ask yourself, And

847
00:41:50,400 --> 00:41:53,080
Speaker 6: I think people tend not to ask that question of themselves.

848
00:41:53,239 --> 00:41:56,000
Speaker 1: I have seen pieces of that be true, but I've

849
00:41:56,120 --> 00:41:58,719
Speaker 1: also seen other things. But the thing I want to

850
00:41:58,800 --> 00:42:01,320
Speaker 1: ask you about now is this idea that if you

851
00:42:01,520 --> 00:42:05,200
Speaker 1: read the newspaper it was like very unlikely that you

852
00:42:05,200 --> 00:42:06,120
Speaker 1: would vote for Trump.

853
00:42:06,320 --> 00:42:06,520
Speaker 5: Yeah.

854
00:42:06,960 --> 00:42:10,960
Speaker 6: Go, well, there's obviously there's obviously a causality question there is,

855
00:42:11,239 --> 00:42:13,359
Speaker 6: you know, does does reading the newspaper make you less

856
00:42:13,400 --> 00:42:15,439
Speaker 6: likely to about for Trump? Or do people who would

857
00:42:15,480 --> 00:42:17,640
Speaker 6: never have voted for Trump anyway are they more likely

858
00:42:17,680 --> 00:42:19,680
Speaker 6: to read the newspaper. I don't know the study referring

859
00:42:19,680 --> 00:42:21,600
Speaker 6: to it. I can't ask that question. I suspect it's

860
00:42:21,600 --> 00:42:24,480
Speaker 6: probably that part mostly the latter. I don't think people

861
00:42:24,680 --> 00:42:27,160
Speaker 6: really are persuaded by what they need in the newspaper

862
00:42:27,200 --> 00:42:27,759
Speaker 6: one way or the other.

863
00:42:27,800 --> 00:42:29,920
Speaker 4: It's quite rare. It's basically quite work to.

864
00:42:30,080 --> 00:42:33,560
Speaker 6: Change their minds about anything, right and mostly when say,

865
00:42:33,560 --> 00:42:35,400
Speaker 6: for example, with this piece that we're discussing now, the

866
00:42:35,440 --> 00:42:37,879
Speaker 6: gen X piece, right, generally, the letters I got about

867
00:42:37,880 --> 00:42:41,040
Speaker 6: this piece were either that was great, I completely agree

868
00:42:41,080 --> 00:42:44,240
Speaker 6: with everything you said, or it was You're an idiot,

869
00:42:44,440 --> 00:42:45,359
Speaker 6: You've got everything wrong.

870
00:42:45,840 --> 00:42:47,960
Speaker 4: No one emailed to say or let what a letter

871
00:42:47,960 --> 00:42:48,239
Speaker 4: to say?

872
00:42:48,880 --> 00:42:51,759
Speaker 6: Thanks for changing my mind on this particular point, because

873
00:42:51,760 --> 00:42:55,560
Speaker 6: I you know, people just don't do that basically unfortunately.

874
00:42:55,640 --> 00:42:56,560
Speaker 4: But that's not a new thing.

875
00:42:56,640 --> 00:43:00,440
Speaker 2: I don't think so interesting. Thank you for joining us column.

876
00:43:00,560 --> 00:43:08,160
Speaker 2: Of course, no moment, Rick Wilson.

877
00:43:08,040 --> 00:43:10,640
Speaker 5: Yes, Molly John Fast are we ready for the moment?

878
00:43:11,160 --> 00:43:11,759
Speaker 1: Yeah? What is it?

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00:43:12,000 --> 00:43:14,880
Speaker 5: The moment America loves? I would say that this week's

880
00:43:14,920 --> 00:43:18,800
Speaker 5: moment is is a is an all time champion example

881
00:43:18,840 --> 00:43:21,440
Speaker 5: of everything Trump to just dies. The moment of fuckery

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00:43:21,520 --> 00:43:25,279
Speaker 5: is our international credit rating? Tell me it's now been

883
00:43:25,400 --> 00:43:29,759
Speaker 5: reduced by a notch. It's been cut And Moody's was

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00:43:30,000 --> 00:43:32,279
Speaker 5: very direct about what it was. I'm surprised Trump hasn't

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00:43:32,280 --> 00:43:32,960
Speaker 5: attacked them yet.

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00:43:33,320 --> 00:43:39,200
Speaker 1: Yeah, well Moody's, Moody's, you're going to the Hague, going

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00:43:39,239 --> 00:43:41,960
Speaker 1: to the hag, But they are.

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00:43:42,080 --> 00:43:44,239
Speaker 5: Credit rating has been downgraded for the first time in

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00:43:44,480 --> 00:43:45,080
Speaker 5: a long.

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Speaker 1: Time since Obama, not because of since the twenty.

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00:43:48,200 --> 00:43:53,240
Speaker 5: Meta economic crisis, right right, Yeah, that was a crisis

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00:43:53,320 --> 00:43:55,799
Speaker 5: where there was a downgrade and by the way, people

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00:43:55,840 --> 00:43:58,640
Speaker 5: on the right at the time were screaming bloody fucking murder.

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00:43:58,760 --> 00:44:02,560
Speaker 1: Including Trump clearly, who's always lead because.

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00:44:03,040 --> 00:44:05,560
Speaker 5: It's always Yeah, But the fact that our credit rating

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00:44:05,560 --> 00:44:08,000
Speaker 5: has been downgraded, which is going to mean higher costs

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00:44:08,040 --> 00:44:12,080
Speaker 5: for every American, higher interest rates, higher lending rates, uh,

898
00:44:12,760 --> 00:44:15,560
Speaker 5: more scarcity in the financial markets for people looking to

899
00:44:15,800 --> 00:44:18,920
Speaker 5: expand a business. All of this comes down to one guy,

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00:44:18,920 --> 00:44:20,719
Speaker 5: and it's Donald Trump. Well, it's easy to make him

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00:44:20,719 --> 00:44:22,600
Speaker 5: the moment of fucker every week. He really deserves it

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00:44:22,680 --> 00:44:23,000
Speaker 5: this week.

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00:44:23,320 --> 00:44:26,719
Speaker 1: And I would add that, like, there's this scenario that

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00:44:26,840 --> 00:44:30,080
Speaker 1: we are all really anxious about, which is why Trump

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00:44:30,160 --> 00:44:32,279
Speaker 1: backed off the tariffs in the first place, which is

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00:44:32,360 --> 00:44:35,560
Speaker 1: dollar flight to this idea that maybe the dollar stops

907
00:44:35,600 --> 00:44:38,719
Speaker 1: being the world's currency finally, and the your you know,

908
00:44:38,920 --> 00:44:41,879
Speaker 1: euro bonds or they go somewhere else. And by the way,

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00:44:41,960 --> 00:44:44,720
Speaker 1: if they do that, right, because we have a president

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00:44:44,800 --> 00:44:48,400
Speaker 1: who acts like a leader in an emerging country, and

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00:44:48,680 --> 00:44:53,200
Speaker 1: our markets behave like emerging markets, and then we have

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00:44:53,600 --> 00:44:56,520
Speaker 1: we find ourselves in a scenario where everything is more expensive.

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00:44:56,680 --> 00:45:00,160
Speaker 1: The you know, debt is more expensive to service. We

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00:45:00,320 --> 00:45:01,279
Speaker 1: are down a rabbit hole.

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00:45:01,360 --> 00:45:03,800
Speaker 4: That is pretty yeah, it is.

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00:45:04,080 --> 00:45:05,960
Speaker 5: It is a ship and all this is because of

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00:45:06,040 --> 00:45:08,200
Speaker 5: his wrong ideas and his big ego.

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00:45:08,560 --> 00:45:11,759
Speaker 1: Right well, and also because he wanted to onshore manufacturing

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00:45:11,880 --> 00:45:14,640
Speaker 1: without doing the work of entering manufacturing.

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00:45:14,880 --> 00:45:16,680
Speaker 5: Unlike that chips and science sector which we had to

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00:45:16,680 --> 00:45:17,120
Speaker 5: get rid.

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Speaker 1: Of, right because it was short manufacturing.

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Speaker 5: Who knew?

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Speaker 1: Everything is so stupid? Till next Monday, Rick Wilson.

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Speaker 5: Thank you, Molly. I'll talk to you later.

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Speaker 1: That's it for this episode of Fast Politics. Tune in

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Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best

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Speaker 1: minds and politics make sense of all this chaos. If

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00:45:45,360 --> 00:45:48,400
Speaker 1: you enjoy this podcast, please send it to a friend

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00:45:48,880 --> 00:45:50,439
Speaker 1: and keep the conversation going.

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Speaker 2: Thanks for listening.