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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 Republicans claim marcomentum is sweeping the

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Speaker 1: internet for twenty twenty eight. I don't think it is.

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Speaker 1: We have such a great show for you today. Platypus Economics.

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Speaker 1: Justin Wolfer stops by to talk about Donald Trump's continued

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Speaker 1: demolition of the American economy. Then we'll talk to three

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Speaker 1: one four Action Shaughnessy not on their work on recruiting, training,

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Speaker 1: and electing Democrats from scientific backgrounds.

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Speaker 2: But first the news Somali. The Virginia State Supreme Court

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Speaker 2: has struck down Virginia's redistricting map. Where do we go

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Speaker 2: from here? Oh? Great, I know where we go from here?

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Speaker 1: They went back to the Supreme Court. Well we go up.

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Speaker 1: So I think that this was a Virginia court. It

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Speaker 1: is a partisan court, unlike our Supreme Court, which is

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Speaker 1: a hyperpartisan court. The supretisan court does not like Democrats

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Speaker 1: getting any seats, so they have thrown out the maps.

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Speaker 1: But do not fear this fight will go up now.

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Speaker 1: It will go to another court and another court will

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Speaker 1: roll on it and then another court, and then another court,

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Speaker 1: and then it will go to the partisan hacks on

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Speaker 1: the Supreme Court and they will, in their infinite partisan hackery,

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Speaker 1: do something completely insane. You have not seen the last

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Speaker 1: of this completely insane bit of drama. This is what

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Speaker 1: happens when you do partisan redistricting in the middle of

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Speaker 1: an election. Remember this all started when Donald Trump asked

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Speaker 1: Texas for five seats. And why did he ask Texas

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Speaker 1: for five seats? Jesse?

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Speaker 2: Because this agenda is the most unpopular agenda we've ever

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Speaker 2: seen in this country's history.

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Speaker 1: And because he doesn't want to get impeached again for

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Speaker 1: the third third tibe.

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Speaker 2: Yes. Yes, But there is another story that goes hand

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Speaker 2: in hand with this, which is that the Tennessee State

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Speaker 2: House has passed redistricting map that really really divvis the

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Speaker 2: state up in ridiculous ways. Ed gets through their loone

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Speaker 2: black majority district. Listen to me.

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Speaker 1: So last week the Supreme Court just killed the Voting

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Speaker 1: Rights Act. They went in and they just were like,

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Speaker 1: you know, multi racial democracy, no, thank you. They went

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Speaker 1: in and they just completely undid all of the work

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Speaker 1: that you know, people have died to move along the needle.

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Speaker 1: And during the sixties and now we are in this

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Speaker 1: world where they and by the way, there are the

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Speaker 1: reason they said that we didn't need this anymore, that

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Speaker 1: we didn't need majority minority seats was because racism was over, just.

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Speaker 2: Like John Lennon said, racism was over.

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Speaker 1: If you want it right, they don't want it.

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Speaker 2: By the way, that's a solid point.

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Speaker 1: Yeah. This so they really this Supreme Court just so sucks.

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Speaker 1: I can't even tell you how much the Supreme Court sucks.

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Speaker 1: And what they did was the reason they put out

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Speaker 1: this decision because they hoped that it would give these

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Speaker 1: red states enough time to redistrict. I'm going to say

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Speaker 1: one thing which I feel like we don't talk about

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Speaker 1: because it undermines some of this, and I just want

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Speaker 1: to say it here because I think the people who

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Speaker 1: listen as podcasts are smart enough to understand that it

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Speaker 1: might happen even despite all of this, which is basically,

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Speaker 1: there is still a world where you know, just because

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Speaker 1: there's a partisan jerrymander, it doesn't mean that ultimately you know,

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Speaker 1: you are cutting up these seats. So if you're going

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Speaker 1: from an R plus twenty to an R plus ten,

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Speaker 1: that means that you have less of a chance. So

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Speaker 1: say you're in a place where the democratic advantage is

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Speaker 1: say the generic is A plus ten, a Democrat plus ten,

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Speaker 1: and say you make a seat, you move an R

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Speaker 1: plus twenty to an R plus six. There's a world

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Speaker 1: where you lose that seed. Look, it's nothing to bank on,

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Speaker 1: but you know, just because you're spreading out your gerrymandering

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Speaker 1: to make it better for you doesn't mean you ultimately

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Speaker 1: get more votes. So as much as like this is cheating,

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Speaker 1: it could also and again it may not. I don't know,

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Speaker 1: you know, we don't know what kind of democratic overperformance

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Speaker 1: will have, but it could ultimately some of this could backfire.

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Speaker 2: Yeah, and we're seeing things like this Tennessee thing that

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Speaker 2: you can move the district's polling places around on the

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Speaker 2: day of if you want, and things like that that

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Speaker 2: they're going to try to do total dirty tricks to

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Speaker 2: make this stuff happen. They're going to make wet Water

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Speaker 2: look like he was doing child games at this point.

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Speaker 2: But at the same time, they're really underestimating how unpopular

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Speaker 2: and what this environment's going to look like and how

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Speaker 2: people will jump through hoops to stop these assholes from

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Speaker 2: what they're doing.

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Speaker 1: And it's like I think about like early on in

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Speaker 1: this administration, where if you went against Trump, like scary

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Speaker 1: people would come to your house, Like it's not quite

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Speaker 1: the same, Like you had these senators who are like

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Speaker 1: living in mortal fear of going against Trump because it's

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Speaker 1: not the same anymore. Like he does not have the

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Speaker 1: same kind of excitement that he did, even from the

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Speaker 1: very scary people, even they are less into it.

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Speaker 2: Yeah, listen, they're having a lot of trouble finding their

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Speaker 2: own willing executioners. That's what I keep saying.

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Speaker 1: Gas is expensive.

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Speaker 2: Well it's not even just that. Like you know, like

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Speaker 2: I walk into the supermarket, and the owner of my

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Speaker 2: supermarket is a very hands on person. He's apologizing to

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Speaker 2: people on their way in for the prices, trying to

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Speaker 2: make them understand why they're going up. He's not doing

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Speaker 2: out a partisan hackery. He's doing it because he wants

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Speaker 2: people to understand that it's not him doing this, that

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Speaker 2: it's a very stupid war we decided to go into

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Speaker 2: by choice from well guts that a little later in

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Speaker 2: the show anyway, So Trump is planning to fire the

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Speaker 2: MAHA friendly FDA com Mission Marty McCrary.

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Speaker 1: Yeah, again, clearly there are a couple things happening here,

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Speaker 1: And I don't want to say anything nice about anything

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Speaker 1: because this is not necessarily good or whatever. But basically

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Speaker 1: some of the MAHA crew has turned out to just

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Speaker 1: be more trouble than they're worth. I think is what

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Speaker 1: it is. You've got like babies bleeding to death because

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Speaker 1: the parents won't.

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Speaker 2: Do vitamin cave injections.

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Speaker 1: Yeah right, they won't do the vitamin injections. I think

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Speaker 1: we're in a lot of trouble here. So just a

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Speaker 1: little too fruity even for this crew of fruit loops.

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Speaker 1: Trump plans to fire FDA commissioner. So this guy, he

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Speaker 1: is a former Johns Hopkins surgeon who became a frequent

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Speaker 1: Make America Healthy Again surrogate, a guy.

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Speaker 2: The rogen Spear likes to quote like he is a

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Speaker 2: really respected person.

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Speaker 1: Yeah, so my man must be a fucking moron. His

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Speaker 1: tenure has been dogged by after effects of Doge led layups.

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Speaker 1: You may remember do as being the brainchild of the

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Speaker 1: richest man in the world, Elon Musk, So he sucks.

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Speaker 1: Trump hasn't necessarily made the plan finalized, so anything could change.

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Speaker 1: He's assembled. I like the quote here from the spokesman kushnasigh,

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Speaker 1: President Trump has assembled the most experienced, in talented administration

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Speaker 1: in history except for all the people who are just

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Speaker 1: cable news hosts, and they focus on delivering historic victories

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Speaker 1: for the American people. If those American people are the

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Speaker 1: Trump family.

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Speaker 2: Yeah. So, speaking of the talented people he's gotten, there

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Speaker 2: is this podcaster with a clothing line of wretched ugly

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Speaker 2: clothing in Cash hotel, whose spy reports is apparently very

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Speaker 2: fond of the bottle and hanging out at the Laymus

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Speaker 2: club in hole of Las Vegas. He's now hauling people

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Speaker 2: in for polygraph tests to see if they writed them

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Speaker 2: out to the Atlantic.

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Speaker 1: So this isn't such an insane story. And here it is.

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Speaker 1: Cash Fattel, head of the FBI, was the subject of

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Speaker 1: a piece in the Atlantic about his drinking. Okay, fine,

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Speaker 1: he both denied it and launched like huge leak investigations

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Speaker 1: into it. All right, Okay, So then they target the

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Speaker 1: author of the piece. They go after her. That becomes

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Speaker 1: even more drama. Now Cash is just like fucking this it.

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Speaker 1: Remember in this piece it talks about how Cash gets

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Speaker 1: locked out of his email and thinks how he thinks

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Speaker 1: he was fired. Well he all so, like, clearly this

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Speaker 1: is a guy who was not like dealing with life

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Speaker 1: in a sane way. So now he is furious and

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Speaker 1: he's putting people on polygraphs to figure out where the

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Speaker 1: leaking is coming from. Meanwhile, like the next day, The

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Speaker 1: Atlantic has another story about how he has the use

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Speaker 1: bottles of some kind of alcohol that are like cash

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Speaker 1: Batel branded, and he gives them to people. He's also

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Speaker 1: suing The Atlantic for the reporting about his behavior and

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Speaker 1: his bad job. I mean, this is the thing about

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Speaker 1: cash Battel, Like, if there ever were a person who

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Speaker 1: behaved like they are super guilty, it is he.

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Speaker 2: Yeah, I strung agree, but I will say this is

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Speaker 2: a little preview of an early birthday present I'm sending

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Speaker 2: you and Andy lev soon, so the listeners of Fast

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Speaker 2: Politics can look forward to a future episode where I

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Speaker 2: present this to you both.

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Speaker 1: Oh what is it?

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Speaker 2: I'm not telling you it's a surprise.

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Speaker 1: Is it a cash fatal?

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Speaker 2: It's not a bottle of liquor, since I obviously know

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Speaker 2: you're sober, but you will see soon enough.

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Speaker 1: Well, I'm excited.

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Speaker 2: There's basically a reoccurring thing on this podcast of Magabed

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Speaker 2: doing the unspeakable to their wives, their staffers, or other

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Speaker 2: people they're having sex with. And here we have what

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Speaker 2: I think maybe the craziest one of the ball.

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Speaker 1: So this is Max Miller. He is a member of Congress.

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Speaker 1: He sucks, and he has sucked for a long time.

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Speaker 1: He worked in the Trump administration. I think of him

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Speaker 1: as like kind of a mini version of Corey Lewandowski.

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Speaker 1: He's like a mini version of Corey. He has constantly

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Speaker 1: clearly is doing bad stuff to women here, and he

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Speaker 1: has been accused of that from also his ex girlfriend,

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Speaker 1: Stephanie Grisham. Stephanie Grisham, you'll remember, was the secretary for Milania,

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Speaker 1: that brilliant think tank leader Milania. So Stephanie Grisham alleged

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Speaker 1: that Max Miller pushed her against a wall and slapped

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Speaker 1: her after she accused him of cheating. Miller blames congressional

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Speaker 1: colleagues and former father in law for his current legal

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Speaker 1: issues because that makes the most sense, and is framing

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Speaker 1: his ex wife as malicious due to her alleged bipolar diagnosis.

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Speaker 1: And this morning, Max Miller, who's a Republican Ohio congressman,

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Speaker 1: took to Twitter to complain about Emily Morino, that is

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Speaker 1: the daughter of GOP Senator Bernie ma Reno. How long

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Speaker 1: have these people even been married? Because wasn't Miller with

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Speaker 1: Stephanie Grisham in twenty twenty.

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Speaker 2: Yeah, you know that Maga goes through marriages at briggs

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Speaker 2: Land speed Records.

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Speaker 1: And let me just say two things here. Do we

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Speaker 1: think that he beat his wife again? It's certainly he

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Speaker 1: has been accused of it before. And also Bernie Marito

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Speaker 1: absolute scumback like beyond. So I want to say domestic

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Speaker 1: violence bad, people who do it? Bad, father a victim,

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Speaker 1: shitty senator from Ohio also bad. Many things can be

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Speaker 1: bad at once.

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Speaker 3: Here.

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Speaker 1: Yes, hey, it's Mollie john Fast here. My memoir How

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Speaker 1: to Lose Your Mother is out now on paperback, arriving

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Speaker 1: just ahead of Mother's Day. How to Lose Your Mother

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Speaker 1: has garnered a lot of praise from Good Morning America,

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Speaker 1: then Your Time, Book Review, Vogue, Vanity Fair, and a

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Speaker 1: lot of other outlets Washington Post. The book is about

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Speaker 1: what it's like to be part of the Sandwich generation,

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Speaker 1: to take care of your mother and your children. And

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Speaker 1: I talk about being a mother and a daughter and

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Speaker 1: the relationship I have with my mother and all of

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Speaker 1: its complexities. It's funny and it's fraught.

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Speaker 4: And it's sad, and it's about life. My story, This story,

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Speaker 4: the story of How to Lose Your Mother, follows a

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Speaker 4: year in which my mother, Erica Johng, is diagnosed with dementia,

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Speaker 4: my husband faces a life threatening illness, and what unfolds

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Speaker 4: is a really honest story about what happens when the

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Speaker 4: shit hits the fan and everything goes wrong. As The

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Speaker 4: Washington Post said, the book is filled with lines so

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Speaker 4: good you won't just want to underline them.

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Speaker 1: It's a memoir that continues to resonate, so please pick

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Speaker 1: it up. Justin Wolfers is the founder of Platypus Economics. Welcome, Welcome,

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Speaker 1: Justin Balley. So it is the first Monday in May. No,

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Speaker 1: I'm just kidding, that's the that's the Mecalla what.

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Speaker 3: I'm glad you thought I would understand and make Gala reference.

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Speaker 3: It's profoundly flatted.

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Speaker 1: Yeah no, no, it's a crossover event.

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Speaker 3: I actually to end up. I don't know if you

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Speaker 3: saw me in my lamb chop Taxlida, just cite a

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Speaker 3: little lamb chops together.

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Speaker 1: That's right, all right, So talk to me about what

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Speaker 1: this is. We got some jobs reports coming in. We

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Speaker 1: got the jobs report. Those numbers were not bad numbers.

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Speaker 3: It's pretty good, isn't it. So the it's probably be

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Speaker 3: one hundred and fifteen thousand jobs created this month. You

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Speaker 3: should never look at one number. What I like to

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Speaker 3: do is take an average over the past few months.

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Speaker 3: If you look over the past few months, we're creating

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Speaker 3: about fifty thousand jobs a month. That's not as many

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Speaker 3: as your listeners are used to hearing. But here's the

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Speaker 3: encouraging thing. The unemployment rate has gone from slowly drifting

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Speaker 3: up to maybe flat. And so the thing to understand

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Speaker 3: here is the decrease in immigration has led to virtually

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Speaker 3: no population growth in the United States. And previously that

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Speaker 3: sounds bad. That's a really good question that I'm going

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Speaker 3: to take as a separate question because it's so deep.

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Speaker 3: But that population growth, well, what it means is employers

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Speaker 3: are not You know, if you open a new store,

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Speaker 3: one of the sources of new customers was new human beings.

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Speaker 3: We don't have as many new human beings. But it

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Speaker 3: also then means we don't need to create as many jobs.

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Speaker 3: And so while the job's number looks bad. The thing

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Speaker 3: to keep your eye on as the unemployment rate. It's

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Speaker 3: roughly flat. So things are not amazing. Things are not terrible.

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Speaker 3: And I am still holding my breath.

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Speaker 1: Why are you still holding your breath?

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Speaker 3: Because I worry about people. I want people to have rich, full,

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Speaker 3: successful lives, full of dignity and getting to do things

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Speaker 3: they love and provide for those they love. I want

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Speaker 3: them to find people and things and passions they love.

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Speaker 1: Okay, that's the macrol. But why are you still holding

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Speaker 1: your breath on the micro Oh?

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Speaker 3: In the economy, yes, on everything. We're in the middle

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Speaker 3: of a war. There's not a long history of wars

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Speaker 3: being good for humanity. Right, we're in the middle of

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Speaker 3: a trade war. There's not a long history of those

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Speaker 3: being good for economies. And without wanting to be part

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Speaker 3: of that, I ever sence that you might be a

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Speaker 3: little partisan. No, I don't have great faith in the administration,

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Speaker 3: and so we're bumped from crisis to crisis, which means

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Speaker 3: when the data says, hey, things may not be so bad,

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Speaker 3: I remember that data are noisy. And sometimes you feel

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Speaker 3: reassured today and then the floor falls out underneath you

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Speaker 3: again tomorrow. And in a world in which we've seen

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Speaker 3: the president start a trade war, try to fire the

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Speaker 3: FED chief, an undermined central bank, independence, in which we've

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Speaker 3: seen a movement try to undermine an election, in which

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Speaker 3: we've started a war war without congressional approval. I just

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Speaker 3: don't know what comes next. And so yeah, I'm holding

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Speaker 3: my breath and.

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Speaker 1: Talk about unemployment, because it seems like unemployment, those numbers,

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Speaker 1: they can go down, but it can also be people

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Speaker 1: not looking for a job, right.

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Speaker 3: Yeah, yeah, let me actually start with the most important thing.

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Speaker 3: I was very surprised this morning, but it's the state

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Speaker 3: of the world. I saw many many liberals on social

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Speaker 3: media saying, well, this happened in the numbers. Do you

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Speaker 3: believe the numbers? And I know you and I've talked

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Speaker 3: about this before, but I want to remind people that

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Speaker 3: the unemployment numbers are still artly plausible, by which I

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Speaker 3: mean I know a lot of people on the inside

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Speaker 3: who are collecting these numbers, and they're using serious, scientific,

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Speaker 3: honest approaches to measurement, and there is no direct White

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Speaker 3: House intervention.

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Speaker 1: Right, I know this is this is something we've talked

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Speaker 1: about before, but you could understand why people would feel

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Speaker 1: that way, because Donald Trump did fire the head of

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Speaker 1: the Bureau of Labor and Statistics.

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Speaker 3: And also not just that, which is the man as

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Speaker 3: a fire hose of lives, which you know, which once

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Speaker 3: upon a time that would have been thought to be

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Speaker 3: a partisan thing to say, and now it's literally a fact.

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Speaker 2: It is, and.

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Speaker 3: I seek there's a profound tearing of our fabric as

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Speaker 3: a result, because it is. I don't want to be

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Speaker 3: a conspiracy theorist and say it's a they meant this

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Speaker 3: all along. I can tell the difference. But I spend

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Speaker 3: my whole day looking at numbers. For regular folks, I've

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Speaker 3: told them, you can believe what comes out of the bls.

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Speaker 3: And then this afternoon the Treasury Secretary will just say

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Speaker 3: a bunch of bullshit, or literally, over the past couple

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Speaker 3: of days, we've had the Energy Secretary and the Transportation

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Speaker 3: Secretary say no one has done more to get energy

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Speaker 3: prices down than Donald Trump while standing next door gas

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Speaker 3: pump charging four point fifty a gallon due to a

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Speaker 3: war that the President started in the Middle East. And

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Speaker 3: so historically those folks were bound by truth. And so

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Speaker 3: when serious people wearing serious suits said things, they deserve

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Speaker 3: to be taken seriously. So when I say so, that

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Speaker 3: information environment is just fractured, the idea that people are

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Speaker 3: attached to truth is gone, which then makes the job

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Speaker 3: of regular folks so much harder, which is that person

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Speaker 3: can be trusted, that person can't, that person came, that

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Speaker 3: person can't. And so what I'm telling you as an insider,

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Speaker 3: as someone who sort of studies this a lot, is

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Speaker 3: the official economic statistics can be trusted. But I'm not

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Speaker 3: telling you to believe a word any cabinet members says

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Speaker 3: anytime ever.

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Speaker 1: Right, So the official numbers are still good, but the

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Speaker 1: cabinet is just bonkers as usual. I think fair.

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Speaker 3: Yeah, I'm an economist. I do not evaluate other people's

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Speaker 3: mental health.

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Speaker 1: Right, but they're they're not. You can't necessarily take those

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Speaker 1: numbers the bank talk to us about. Uh, you wrote

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Speaker 1: a piece for The Times that I read this morning?

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Speaker 1: That was how.

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Speaker 3: Exciting was that? Did you just wake up and you

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Speaker 3: read any excomps And were you like, oh no, that block?

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Speaker 1: No, you sent it to me. But also I read

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Speaker 1: the opinion sometimes I too write for the opinion section.

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Speaker 1: Not you get to tell you this about me and

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Speaker 1: you all paid for it too, don't you.

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Speaker 3: Oh yeah, a little bit. But you're you're aren't you

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Speaker 3: a culture editor?

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Speaker 1: No, I'm not in anything anything. I'm a right, I

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Speaker 1: just write there. But I want you so, I.

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Speaker 3: Want to talk about you a bit because you always

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Speaker 3: that sounds why cold in mine?

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Speaker 1: So you did this piece, I'm just gonna ignore you. Now,

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Speaker 1: this is what happens when you're very when you get

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Speaker 1: in trouble on this podcast, they just ignore you. So

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Speaker 1: you wrote this piece about the cost of the war,

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Speaker 1: and Pete Egg said that this may not be this

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Speaker 1: may have sort of fallen through the couch cushions this week.

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Speaker 1: But Petegg said, did a video about the cost of

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Speaker 1: the war that had a really high number of about

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Speaker 1: fifteen billion dollars, which seems like something you wouldn't want

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Speaker 1: to advertise, and in fact it's actually probably a lot more.

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Speaker 3: Right, actually, say his number was twenty five billion.

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Speaker 1: Oh, twenty five billion, sorry, ten billion too little? I mean,

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Speaker 1: why advertise that seems like a lot of money. That's

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Speaker 1: twenty five ballrooms.

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Speaker 3: I am going to true, Well, we gonna have a

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Speaker 3: ballroom in every pot.

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Speaker 1: That's right, that's right now, And.

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Speaker 3: No that doesn't have enough good ballrooms. Yeah, I was

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Speaker 3: thinking going to a bull last time.

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Speaker 1: I wasn't twenty five taxpayer funded ballrooms?

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Speaker 3: Right, But that's a good number of ballrooms. What would

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Speaker 3: you prefer, though, Mali one just really good war or

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Speaker 3: twenty five ballrooms?

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Speaker 1: That's right? So go on, I would rather have the ballrooms,

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Speaker 1: and I think they'd be better for I think you'd

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Speaker 1: make more money on the volrooms.

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Speaker 3: It's God that he first, Mully John fast ballroom room?

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Speaker 1: Yes? Continue, Okay, So.

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Speaker 3: Actually I want to pause because I think this is

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Speaker 3: actually a really really important piece of economics, and Malley,

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Speaker 3: I'm going to be rotten and so you've got it wrong,

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Speaker 3: please the most. Okay, So here's the backdrop. Almost any

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Speaker 3: the human mind is almost incapable of understanding the difference

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Speaker 3: between millions, billions, and trillions. We don't encounter these numbers.

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Speaker 3: They're unimaginably large. Any time, therefore a politician used as

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Speaker 3: one of those numbers, it's because they intend to obfiscate.

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Speaker 3: So what an economist does anytime we get one of

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Speaker 3: those numbers, we realize it's uninterpretable. Let's make it human.

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Speaker 3: Here's a way of making it human. There are three

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Speaker 3: hundred and thirty million Americans, which is really good because

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Speaker 3: if every American pays three dollars, that adds up to

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Speaker 3: a bill million dollars. If the war cost twenty five billion,

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Speaker 3: that means it's a cost of seventy five dollars per American.

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Speaker 3: So twenty five billion. I've watched my liberal friends go

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Speaker 3: out to, oh, twenty five billion, this is outrageous. We

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Speaker 3: could have bought twenty five ballrooms. Actually, your point that

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Speaker 3: it's twenty five ballrooms is the point. It's not that much, right, so,

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Speaker 3: and the point I want to impress upon the audience,

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Speaker 3: And here I apologize, I'm a college professor. I'm going

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Speaker 3: to do the teaching because that's what I do. Every

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Speaker 3: time you hear one of these numbers, you have to

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Speaker 3: scale it in a way that you can make sense

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Speaker 3: of it. So it turns out the twenty five billion

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Speaker 3: is not that much. It's also bullshit, technical sen The

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Speaker 3: point of the upbed is actually to say, what question

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Speaker 3: is twenty five billion dollars the answer to? And what

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Speaker 3: question do you care about? And it turns out they're

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Speaker 3: completely different. Twenty five billion dollars is how much we're

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Speaker 3: more or less spent on bombs and moving a few

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Speaker 3: troops around and stuff like that, and depreciation on aircraft.

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Speaker 3: Aircraft have gone down. By the way, you might be thinking,

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Speaker 3: how can we spend that much on bombs? Some of

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Speaker 3: our bombs are two million bucks apart, right, So you

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Speaker 3: throw a few of them out there, and all of

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Speaker 3: a sudden you're talk in real money. Right, that's the

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Speaker 3: sole cost of it, that's all it's including. So that's

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Speaker 3: a little bit like saying, what is the cost of

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Speaker 3: a family dog? Well, I went to the pound and

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Speaker 3: he costs two hundred dollars. But the thing about a

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Speaker 3: dog is he transforms your life in all sorts of

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Speaker 3: other ways, many of which are expensive. And I'm dealing

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Speaker 3: with expensive vet bills right now. And actually the same

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Speaker 3: thing is true of war. So the twenty five billion

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Speaker 3: is the answer to a question no one ever asked,

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Speaker 3: which is how much do we spend on bombs? The

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Speaker 3: answer that the question I think most people care about

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Speaker 3: is how much is this damn war costing us? How

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Speaker 3: much worse off am I am, my fellow countrymen and

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Speaker 3: people around the world as a result. And that's when

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Speaker 3: you have to realize this war didn't just cost us

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Speaker 3: in bombs. It has transformed the global economy. It's transformed

435
00:23:57,560 --> 00:23:59,760
Speaker 3: the American economy. For instance, the FED was going to

436
00:23:59,760 --> 00:24:02,280
Speaker 3: cut rates before. Now it's not because the inflation coming

437
00:24:02,280 --> 00:24:04,720
Speaker 3: out of the war. That right there by the way

438
00:24:04,760 --> 00:24:06,640
Speaker 3: I ran it through a little macro economic the FEDS

439
00:24:06,680 --> 00:24:08,800
Speaker 3: macroeconomic model. It's the sort of thing idea for fun

440
00:24:09,560 --> 00:24:12,520
Speaker 3: that right there is worth two hundred billion dollars just

441
00:24:12,560 --> 00:24:16,520
Speaker 3: that effect. Right, we have good estimates of the effect

442
00:24:16,560 --> 00:24:21,040
Speaker 3: of geopolitical risk on the economy. It's likely that this

443
00:24:21,200 --> 00:24:24,520
Speaker 3: rise in geopolitical risk will lead to two hundred billion

444
00:24:24,560 --> 00:24:27,159
Speaker 3: dollars let's output in hundreds of thousands of fewer jobs.

445
00:24:28,320 --> 00:24:31,080
Speaker 3: We can look at what has happened to the stock market,

446
00:24:31,119 --> 00:24:35,120
Speaker 3: and a reasonable estimate is that stocks are about five

447
00:24:35,160 --> 00:24:37,400
Speaker 3: percent lower as a result of this war. You see

448
00:24:37,400 --> 00:24:41,159
Speaker 3: that because every time the president's aggressive, stocks four, but

449
00:24:41,280 --> 00:24:43,600
Speaker 3: every time he backs off, stocks rise. And if you

450
00:24:43,640 --> 00:24:46,800
Speaker 3: took that seriously, that would suggest overall stocks are about

451
00:24:46,800 --> 00:24:49,800
Speaker 3: five percent lower than they would otherwise be. That's three

452
00:24:50,240 --> 00:24:53,280
Speaker 3: trillion dollars right there. If the world has become a

453
00:24:53,280 --> 00:24:57,679
Speaker 3: more dangerous place because of our geopolitical strategies, and the

454
00:24:57,720 --> 00:25:01,240
Speaker 3: president believes that it has, then we have to spend

455
00:25:01,240 --> 00:25:03,480
Speaker 3: more on defense than the president believes we do, because

456
00:25:03,480 --> 00:25:07,359
Speaker 3: he just put forward a defense budget for next year

457
00:25:08,200 --> 00:25:10,360
Speaker 3: in which he wants to raise spending on defense from

458
00:25:10,440 --> 00:25:15,240
Speaker 3: nine hundred billion to fifteen hundred billion. So now he

459
00:25:15,280 --> 00:25:18,679
Speaker 3: wants to spend six hundred billion more on defense just

460
00:25:18,840 --> 00:25:22,320
Speaker 3: next year. All of these numbers are boring, but the

461
00:25:22,320 --> 00:25:24,280
Speaker 3: most important thing I want to notice is they're all

462
00:25:24,720 --> 00:25:30,119
Speaker 3: many times larger than twenty five billion. The point this

463
00:25:30,240 --> 00:25:33,000
Speaker 3: is the way real world economics works, messy economics in

464
00:25:33,080 --> 00:25:37,760
Speaker 3: messy economic times, is any way you try to pencil

465
00:25:37,800 --> 00:25:41,520
Speaker 3: out the costs of this war, you realize that the

466
00:25:41,640 --> 00:25:47,480
Speaker 3: cost is hundreds of billions and possibly trillions. So, Mollie,

467
00:25:47,560 --> 00:25:50,560
Speaker 3: you were talking about a nice collection of ballrooms. Now

468
00:25:50,600 --> 00:25:52,680
Speaker 3: I'm talking about a shit ton of ballrooms.

469
00:25:52,960 --> 00:25:53,720
Speaker 1: Yeah.

470
00:25:53,760 --> 00:25:55,080
Speaker 3: And then if we want to turn into what is

471
00:25:55,119 --> 00:25:58,480
Speaker 3: this meaning for the American people, for the typical household,

472
00:25:59,000 --> 00:26:02,720
Speaker 3: it means the cost of the war is to be

473
00:26:02,800 --> 00:26:07,880
Speaker 3: measured in thousands of dollars and maybe tens of thousands

474
00:26:07,960 --> 00:26:11,480
Speaker 3: of dollars, and that hopefully gets people's attention.

475
00:26:12,200 --> 00:26:15,119
Speaker 1: It also, what you talk about those piece, is that

476
00:26:15,240 --> 00:26:18,240
Speaker 1: it also is measured in all sorts of other metrics,

477
00:26:18,600 --> 00:26:26,640
Speaker 1: like it's financial insecurity, which financial instability, which means less investment.

478
00:26:26,960 --> 00:26:29,600
Speaker 1: Like there are metrics that you can't even really measure.

479
00:26:30,840 --> 00:26:32,840
Speaker 3: So I'm not going to pretend that I've found a

480
00:26:32,840 --> 00:26:35,680
Speaker 3: way of counting every cast. What I can tell you is,

481
00:26:35,680 --> 00:26:37,480
Speaker 3: every time I start looking at him, they turn out

482
00:26:37,480 --> 00:26:39,640
Speaker 3: to be hundreds of billions. And the idea that hag

483
00:26:39,680 --> 00:26:42,040
Speaker 3: Seth is right at twenty five billion dollars is absurd

484
00:26:42,040 --> 00:26:46,160
Speaker 3: on its face. The whole thing's misdirection, bullshit, nonsense, right,

485
00:26:46,720 --> 00:26:49,320
Speaker 3: And then I want to take off my economist hat.

486
00:26:49,320 --> 00:26:50,400
Speaker 3: Can I put on my dad hat?

487
00:26:50,640 --> 00:26:50,880
Speaker 2: Sure?

488
00:26:51,800 --> 00:26:54,280
Speaker 3: I remember the day the President tweeted that he was

489
00:26:54,320 --> 00:26:56,440
Speaker 3: going to wipe another country off the face of the

490
00:26:56,520 --> 00:26:59,200
Speaker 3: earth mm hmm, And I sat down with my thirteen

491
00:26:59,280 --> 00:27:04,119
Speaker 3: year old son and he was distressed. I was distressed.

492
00:27:04,400 --> 00:27:08,800
Speaker 3: It's terrifying the idea that someone would in our name

493
00:27:10,200 --> 00:27:12,560
Speaker 3: threaten to wipe a civilization off the face of the earth.

494
00:27:13,240 --> 00:27:17,240
Speaker 3: It's inhumane. It's not the qualities I've ever taught my son.

495
00:27:18,680 --> 00:27:20,560
Speaker 3: I don't ever want to have to defend it. I

496
00:27:20,600 --> 00:27:25,040
Speaker 3: never will, and my son is at a profound level,

497
00:27:25,080 --> 00:27:28,320
Speaker 3: forever changed. You can't take back the idea that humans

498
00:27:28,320 --> 00:27:31,119
Speaker 3: would say that to other humans. And there's a beauty

499
00:27:31,160 --> 00:27:35,280
Speaker 3: about childhood and children that was destroyed. And I'm not

500
00:27:35,480 --> 00:27:39,119
Speaker 3: talking really about my son I am, but I know

501
00:27:39,160 --> 00:27:40,919
Speaker 3: that there's millions of other dads out there. And so

502
00:27:41,000 --> 00:27:43,600
Speaker 3: that scene got played out and family after family all

503
00:27:43,640 --> 00:27:48,520
Speaker 3: around the country and a sense of coarseness and comfort

504
00:27:48,840 --> 00:27:52,520
Speaker 3: with the unimaginable. I can't pencilate a number before you

505
00:27:52,600 --> 00:27:54,200
Speaker 3: on that, Molly, but I don't want to lose sight

506
00:27:54,240 --> 00:27:55,240
Speaker 3: of how important that is.

507
00:27:55,760 --> 00:27:58,600
Speaker 1: Right now, we are sort of in this crazy moment

508
00:27:58,800 --> 00:28:04,520
Speaker 1: where we have the FED is you know we got

509
00:28:05,320 --> 00:28:08,040
Speaker 1: I mean, they're still there. There's a lot going on

510
00:28:08,119 --> 00:28:08,480
Speaker 1: right now.

511
00:28:08,600 --> 00:28:11,600
Speaker 3: But I slide proper of the year. I don't even

512
00:28:11,720 --> 00:28:13,640
Speaker 3: watch TV anymore. I just watched the FED.

513
00:28:13,720 --> 00:28:19,240
Speaker 1: It's terrific, right, And they're not going to lower rates probably, No,

514
00:28:19,720 --> 00:28:21,480
Speaker 1: Trump is not going to get what he wants. I

515
00:28:21,480 --> 00:28:22,960
Speaker 1: think it's the net of it.

516
00:28:23,440 --> 00:28:25,440
Speaker 3: I think that Land's unclear to beat.

517
00:28:25,880 --> 00:28:27,600
Speaker 1: Well, he's not going to get them to lower rates,

518
00:28:27,640 --> 00:28:28,640
Speaker 1: which is what he wanted.

519
00:28:29,080 --> 00:28:30,600
Speaker 3: He is going to get handsome Kevin in.

520
00:28:31,280 --> 00:28:36,040
Speaker 1: Yes, he's getting handsome Kevin In. And but Powell's staying

521
00:28:36,720 --> 00:28:37,000
Speaker 1: a bit.

522
00:28:37,119 --> 00:28:38,760
Speaker 3: Jeron Pell used to be handsome.

523
00:28:39,240 --> 00:28:39,480
Speaker 1: Really.

524
00:28:41,160 --> 00:28:44,320
Speaker 3: When he announced Powell, he said that Powell was handsome,

525
00:28:44,360 --> 00:28:47,400
Speaker 3: more handsome than Jenny Yellen. So now we got two

526
00:28:47,480 --> 00:28:48,520
Speaker 3: handsome plecks.

527
00:28:48,800 --> 00:28:49,840
Speaker 1: What are you watching?

528
00:28:50,080 --> 00:28:50,200
Speaker 4: Like?

529
00:28:50,320 --> 00:28:52,920
Speaker 1: It still seems like the stock market is exuberant, the

530
00:28:52,920 --> 00:28:57,680
Speaker 1: bond market is anxious, and the gas prices are still high.

531
00:28:58,000 --> 00:29:02,120
Speaker 1: So for now we're sort of the the s and

532
00:29:02,200 --> 00:29:06,440
Speaker 1: P is delighted with anything. But can that just keep

533
00:29:06,480 --> 00:29:07,400
Speaker 1: going like that?

534
00:29:08,480 --> 00:29:10,320
Speaker 3: I'm just trying to imagine what life is like living

535
00:29:10,320 --> 00:29:11,720
Speaker 3: in New York to pickle in New York just walk

536
00:29:11,720 --> 00:29:13,920
Speaker 3: around talking about the stock market all the time because

537
00:29:14,560 --> 00:29:16,280
Speaker 3: most people think I'm intensely boring.

538
00:29:16,640 --> 00:29:20,040
Speaker 1: And I mean I read the Wall Street Journal, so

539
00:29:20,440 --> 00:29:22,360
Speaker 1: I despite.

540
00:29:21,960 --> 00:29:25,120
Speaker 3: Being a New York Times abed contributor, I read.

541
00:29:24,960 --> 00:29:29,040
Speaker 1: The Journal of the Ft the Economists, so I know what's.

542
00:29:28,760 --> 00:29:30,760
Speaker 3: Happening mockably well read.

543
00:29:31,360 --> 00:29:33,000
Speaker 1: Well, that's my kind of my job.

544
00:29:33,160 --> 00:29:36,120
Speaker 3: So I so you're gonna tell us about your undergraduate

545
00:29:36,160 --> 00:29:36,920
Speaker 3: transcript too.

546
00:29:37,320 --> 00:29:39,920
Speaker 1: I didn't go to college. I am to knowledge, no

547
00:29:39,960 --> 00:29:42,880
Speaker 1: one to college. I have nothing. Did not go to college?

548
00:29:43,080 --> 00:29:43,680
Speaker 3: Is that true?

549
00:29:44,120 --> 00:29:47,320
Speaker 1: Yeah? I have a master's. I have an MFA from

550
00:29:47,360 --> 00:29:49,640
Speaker 1: Bennington but I'm going to.

551
00:29:49,600 --> 00:29:51,440
Speaker 3: Didn't go to college, but I have a master's degree

552
00:29:51,520 --> 00:29:52,240
Speaker 3: or yeah, but.

553
00:29:52,240 --> 00:29:54,960
Speaker 1: It's a Masters of Fine Arts. I've never done like

554
00:29:55,000 --> 00:29:57,239
Speaker 1: a math class. I wouldn't even know how to do it.

555
00:29:57,280 --> 00:30:01,560
Speaker 1: So but anyway, what do you it's getting really irritated

556
00:30:01,840 --> 00:30:04,440
Speaker 1: by our band or so, like, it just feels like

557
00:30:04,440 --> 00:30:06,600
Speaker 1: we're in a very precarious moment. And you said this

558
00:30:06,720 --> 00:30:08,200
Speaker 1: earlier in the center.

559
00:30:07,920 --> 00:30:10,600
Speaker 3: Holding my breath, Yeah, yeah, breath.

560
00:30:10,760 --> 00:30:13,320
Speaker 1: What are the sort of indicators that you're looking at?

561
00:30:13,360 --> 00:30:16,960
Speaker 1: Like Trump is clearly trying to get gas prices lower. Yeah,

562
00:30:17,160 --> 00:30:18,200
Speaker 1: that is not going to happen.

563
00:30:18,400 --> 00:30:25,080
Speaker 3: Yeah, right, Okay, so I am holding my breath. Yeah,

564
00:30:25,160 --> 00:30:27,600
Speaker 3: every day I do. And the weird thing, by the way,

565
00:30:27,680 --> 00:30:29,840
Speaker 3: is I remember all of three years ago I would

566
00:30:29,840 --> 00:30:32,000
Speaker 3: do an interviewer a podcast and I could just walk

567
00:30:32,000 --> 00:30:34,760
Speaker 3: in and know it cold, And today I have to

568
00:30:34,840 --> 00:30:38,720
Speaker 3: check what's going on in the last fifteen seconds because

569
00:30:38,720 --> 00:30:40,640
Speaker 3: we might have accidentally bombed another country.

570
00:30:40,840 --> 00:30:41,760
Speaker 1: That's a Trump thing.

571
00:30:41,880 --> 00:30:47,320
Speaker 3: Yeah, So I think the overwhelmingly most important economic issue

572
00:30:47,400 --> 00:30:50,400
Speaker 3: right now is the war. In a run, it's also

573
00:30:50,480 --> 00:30:56,520
Speaker 3: incredibly difficult to track in any standard sense. The president

574
00:30:56,520 --> 00:31:00,520
Speaker 3: announces something the Iranian Leadershi announces something else, and there

575
00:31:00,560 --> 00:31:02,160
Speaker 3: was a time I knew which one of those two

576
00:31:02,240 --> 00:31:04,360
Speaker 3: was the truth teller, and that is no longer true.

577
00:31:04,480 --> 00:31:07,280
Speaker 3: So the president's announced success seven times and the Ranians

578
00:31:07,360 --> 00:31:09,840
Speaker 3: keep saying, you never called, and I kind of believe them,

579
00:31:09,880 --> 00:31:11,840
Speaker 3: like he doesn't seem like a guy who calls you back.

580
00:31:12,280 --> 00:31:15,560
Speaker 1: And there's reporting, I mean they're reporting. I was on

581
00:31:15,680 --> 00:31:18,480
Speaker 1: Morning Joe with David Rose Rhads and David Rhodes was

582
00:31:18,520 --> 00:31:23,120
Speaker 1: talking about how the Saudis didn't know that he was

583
00:31:23,160 --> 00:31:27,840
Speaker 1: trying to reopen the straits because nobody told them, and

584
00:31:27,880 --> 00:31:30,840
Speaker 1: that they closed the airspace because they were like, what

585
00:31:30,880 --> 00:31:31,440
Speaker 1: the fuck is this?

586
00:31:32,320 --> 00:31:35,800
Speaker 3: It's amazing some people don't spend their days on truth social.

587
00:31:35,680 --> 00:31:40,320
Speaker 1: If MBS were just watching Fox News, yeah do you

588
00:31:40,320 --> 00:31:40,760
Speaker 1: want to know?

589
00:31:41,760 --> 00:31:41,880
Speaker 4: So?

590
00:31:42,000 --> 00:31:44,479
Speaker 3: But I think that that information environment means it's very

591
00:31:44,480 --> 00:31:46,240
Speaker 3: hard to track, but if you care about the economy,

592
00:31:46,240 --> 00:31:48,520
Speaker 3: it's the most important thing to track. And so then

593
00:31:48,560 --> 00:31:51,360
Speaker 3: that means this actually means I'm going to be a

594
00:31:51,360 --> 00:31:53,239
Speaker 3: lot more like in New Yorker right now, which is

595
00:31:53,640 --> 00:31:56,600
Speaker 3: I do follow financial markets closely, and it's not because

596
00:31:56,600 --> 00:31:58,320
Speaker 3: I'm cheering for the stock market. It's not even that

597
00:31:58,360 --> 00:32:00,400
Speaker 3: I care about the stock markets, even.

598
00:32:00,320 --> 00:32:02,520
Speaker 1: On any stars, right, I have.

599
00:32:02,480 --> 00:32:05,440
Speaker 3: A mutual fund. I have retirement fund. Do I get

600
00:32:05,680 --> 00:32:07,040
Speaker 3: I think I have a retirement account.

601
00:32:07,160 --> 00:32:09,040
Speaker 1: You talk because remember you told me you guys never

602
00:32:09,080 --> 00:32:10,480
Speaker 1: owned stars anywhay going not.

603
00:32:10,440 --> 00:32:14,960
Speaker 3: Individual stocks, but I have a retirement account. It's wow,

604
00:32:15,000 --> 00:32:16,840
Speaker 3: you're trying to get me in so much trouble. Well

605
00:32:16,880 --> 00:32:20,680
Speaker 3: you just said I'm a job creator. Yeah, go on,

606
00:32:21,520 --> 00:32:23,400
Speaker 3: Why don't I get any respect.

607
00:32:24,840 --> 00:32:26,120
Speaker 1: None.

608
00:32:27,000 --> 00:32:30,320
Speaker 3: I'm tracking financial markets because you've got sophisticated people betting

609
00:32:30,400 --> 00:32:33,480
Speaker 3: on the future of the economy through financial markets. I'm

610
00:32:33,520 --> 00:32:35,520
Speaker 3: tracking them at the same time as I'm tracking the

611
00:32:35,560 --> 00:32:37,720
Speaker 3: oil market. Actually, if you want to track the oil market,

612
00:32:37,720 --> 00:32:40,680
Speaker 3: you don't track the spot price that's oil being bought

613
00:32:40,680 --> 00:32:43,040
Speaker 3: and sold today, because that's affected by a lot of

614
00:32:43,040 --> 00:32:45,440
Speaker 3: stuff like shipping and so on. It's a really good

615
00:32:45,440 --> 00:32:48,080
Speaker 3: idea to track something like the future's price, which by

616
00:32:48,080 --> 00:32:51,640
Speaker 3: the way, is actually remarkably easy to find online, and

617
00:32:52,000 --> 00:32:54,960
Speaker 3: think about that as an index of are we getting

618
00:32:54,960 --> 00:32:58,280
Speaker 3: good news out of Iran or bad news? You could

619
00:32:58,280 --> 00:33:00,840
Speaker 3: interpret it in more complicated ways. But if you wake

620
00:33:00,960 --> 00:33:03,000
Speaker 3: up and you say, you know, you ret like the

621
00:33:03,000 --> 00:33:05,720
Speaker 3: president just announced there was some operation over the last

622
00:33:05,720 --> 00:33:06,480
Speaker 3: couple of days where.

623
00:33:06,320 --> 00:33:08,600
Speaker 1: Apparently Enduring Freedom.

624
00:33:08,880 --> 00:33:11,760
Speaker 3: Yeah, which like it didn't endure and it wasn't freedom.

625
00:33:12,840 --> 00:33:14,880
Speaker 1: And ignore the ceasefire.

626
00:33:15,200 --> 00:33:17,680
Speaker 3: Yeah, it was Operation Press Release, right. He said, I've

627
00:33:17,720 --> 00:33:21,560
Speaker 3: got an operation and here's the deal. Everyone can go through.

628
00:33:21,560 --> 00:33:25,560
Speaker 3: The stradiprom was, yeah, I haven't told the Iranians and

629
00:33:25,760 --> 00:33:27,440
Speaker 3: we're not going to escort you, but you can go

630
00:33:27,520 --> 00:33:30,640
Speaker 3: through because I told you, and this will surprise you.

631
00:33:30,720 --> 00:33:35,960
Speaker 3: Everyone said in return, no, So Operation Enduring Freedom literally

632
00:33:35,960 --> 00:33:40,480
Speaker 3: achieved nothing. But for the audience. The important point here

633
00:33:40,520 --> 00:33:42,320
Speaker 3: is if you wanted to assess that for yourself, the

634
00:33:42,320 --> 00:33:43,800
Speaker 3: way to have done that was to look at oil

635
00:33:43,840 --> 00:33:48,440
Speaker 3: price features, because when they didn't improve, that's when you

636
00:33:48,480 --> 00:33:51,400
Speaker 3: can tell people betting on the outcome of this war

637
00:33:51,960 --> 00:33:55,000
Speaker 3: think the president is just saying nonsense rather than doing sense.

638
00:33:55,000 --> 00:33:58,360
Speaker 3: Now there may be some moment where it's Operation really

639
00:33:58,440 --> 00:34:02,280
Speaker 3: Enduring Freedom. He does something, and the easiest way to

640
00:34:02,280 --> 00:34:04,440
Speaker 3: tell is going to be by tracking what happens to

641
00:34:04,440 --> 00:34:07,400
Speaker 3: financial markets. They're not going to get a perfect but

642
00:34:08,000 --> 00:34:11,840
Speaker 3: it's less bad than the alternative of listening to the administration.

643
00:34:12,920 --> 00:34:14,640
Speaker 1: Justin Walfers, will you come back?

644
00:34:15,440 --> 00:34:18,200
Speaker 3: Always count White.

645
00:34:18,600 --> 00:34:24,200
Speaker 1: Shaughnessy Notton is the president of three one four Action.

646
00:34:25,200 --> 00:34:29,160
Speaker 1: Welcome Shaughnessy, Hi Mollie, thanks for having us on. First

647
00:34:29,200 --> 00:34:30,600
Speaker 1: of all, I want you to tell me what your

648
00:34:30,600 --> 00:34:32,799
Speaker 1: group does, and then I want you to tell me

649
00:34:32,920 --> 00:34:34,279
Speaker 1: how you got involved tonight.

650
00:34:34,400 --> 00:34:36,840
Speaker 5: Well, my group is three one four Action. I'm the

651
00:34:36,880 --> 00:34:40,839
Speaker 5: president and founder. We work to elect scientists to all

652
00:34:40,920 --> 00:34:44,239
Speaker 5: levels of government, from city council up through the state

653
00:34:44,360 --> 00:34:47,880
Speaker 5: legislature and the federal level, with the thinking that we

654
00:34:48,000 --> 00:34:53,320
Speaker 5: really benefit by having those data driven, fact face policymakers

655
00:34:53,320 --> 00:34:56,520
Speaker 5: in office and not just as polite advisors that can

656
00:34:56,560 --> 00:34:59,640
Speaker 5: be ignored. And this screw out of my own experience.

657
00:34:59,719 --> 00:35:02,720
Speaker 5: I was chemist by training. I worked in breast cancer

658
00:35:02,760 --> 00:35:07,320
Speaker 5: research and infectious disease, and in twenty fourteen, rather naively,

659
00:35:07,440 --> 00:35:11,480
Speaker 5: decided to run for Congress, not really knowing what was involved.

660
00:35:11,640 --> 00:35:14,799
Speaker 5: But I got a lot of support from the scientific

661
00:35:14,840 --> 00:35:18,279
Speaker 5: community and came up a little short, but learned a

662
00:35:18,280 --> 00:35:20,600
Speaker 5: lot in the process. And part of what I learned

663
00:35:20,760 --> 00:35:23,320
Speaker 5: was that at the time there were more talk radio

664
00:35:23,360 --> 00:35:26,759
Speaker 5: show hosts in Congress than scientists and engineers. And so

665
00:35:27,360 --> 00:35:29,759
Speaker 5: we were coming up on our tenth anniversary of three

666
00:35:29,800 --> 00:35:32,520
Speaker 5: and four Action and I have done a lot of

667
00:35:32,560 --> 00:35:36,040
Speaker 5: work in bringing more scientists and doctors into Congress and

668
00:35:36,080 --> 00:35:37,080
Speaker 5: all levels of government.

669
00:35:37,480 --> 00:35:42,000
Speaker 1: So let's talk about what that looks like. Talk to

670
00:35:42,040 --> 00:35:43,400
Speaker 1: me about some of your candidates.

671
00:35:43,719 --> 00:35:47,279
Speaker 5: Sure, well, twenty eighteen was our first full cycle and

672
00:35:47,600 --> 00:35:50,120
Speaker 5: we had a great year. We elected a number of

673
00:35:50,160 --> 00:35:52,759
Speaker 5: scientists both the Senate and House, and I think it

674
00:35:52,800 --> 00:35:55,680
Speaker 5: really tells a good synopsis of you know, what we

675
00:35:55,800 --> 00:35:58,799
Speaker 5: do is that we worked with Kim Schreier in both

676
00:35:58,840 --> 00:36:02,640
Speaker 5: her primary in our general election to help bring a

677
00:36:02,680 --> 00:36:05,960
Speaker 5: woman pediatrician, the first pediatrician to Congress, you know, and

678
00:36:06,360 --> 00:36:08,880
Speaker 5: really had to fight back some of the thinking in

679
00:36:08,960 --> 00:36:13,239
Speaker 5: DC of the very limited profile of what could make

680
00:36:13,280 --> 00:36:15,759
Speaker 5: for a good member of Congress and candidate, and so

681
00:36:15,880 --> 00:36:19,440
Speaker 5: ultimately we were successful. This year, we have close to

682
00:36:19,520 --> 00:36:22,600
Speaker 5: fifty federal campaigns that we're working with. We recently endorsed

683
00:36:22,760 --> 00:36:26,719
Speaker 5: Dr Jasmine Clark. She is a microbiologist and a state

684
00:36:26,800 --> 00:36:31,080
Speaker 5: legislator running for Congress in Georgia. We helped elect her

685
00:36:31,120 --> 00:36:33,440
Speaker 5: to the state House a number of years ago and

686
00:36:33,640 --> 00:36:35,799
Speaker 5: continue to work with her through the years and are

687
00:36:35,840 --> 00:36:39,719
Speaker 5: really excited about her candidacy. You know, we also are

688
00:36:39,760 --> 00:36:42,960
Speaker 5: really excited about Annie Andrews, doctor Annie Andrews running for

689
00:36:43,040 --> 00:36:46,520
Speaker 5: Senate against Lindsay Graham. He has an all time low

690
00:36:46,640 --> 00:36:52,560
Speaker 5: approval ratings, deservedly. You know, she is putting together strong

691
00:36:52,600 --> 00:36:55,799
Speaker 5: fundraising numbers and you know, you might remember that the

692
00:36:55,840 --> 00:37:00,000
Speaker 5: measles outbreak ground zero was South Carolina earlier this year,

693
00:37:00,120 --> 00:37:03,040
Speaker 5: and she really had to field a lot of questions

694
00:37:03,080 --> 00:37:06,759
Speaker 5: and concerns from citizens, you know, whereas the senator was

695
00:37:06,840 --> 00:37:07,880
Speaker 5: just completely missing.

696
00:37:08,360 --> 00:37:11,200
Speaker 1: How do you help people like that run? Like, what

697
00:37:11,280 --> 00:37:14,000
Speaker 1: do they need from you? And how is that different

698
00:37:14,120 --> 00:37:15,280
Speaker 1: than normal candidate?

699
00:37:15,680 --> 00:37:18,480
Speaker 5: Well, you know, I mean fifty percent of Congress is

700
00:37:18,520 --> 00:37:21,240
Speaker 5: made up of lawyers, and that kind of makes sense

701
00:37:21,320 --> 00:37:24,719
Speaker 5: that lawyers want to make laws, and that doesn't necessarily

702
00:37:24,719 --> 00:37:27,319
Speaker 5: translate to scientists and doctors. You know, they went to

703
00:37:27,320 --> 00:37:29,840
Speaker 5: school to do something completely different. But a lot of

704
00:37:29,880 --> 00:37:32,880
Speaker 5: them are feeling compelled to take this step into public

705
00:37:32,920 --> 00:37:37,879
Speaker 5: office because of the onslaught of attacks, especially from this administration,

706
00:37:38,040 --> 00:37:41,320
Speaker 5: on public health, on science, on you know, our future

707
00:37:41,960 --> 00:37:44,600
Speaker 5: ability to be you know, a world leader in science

708
00:37:44,600 --> 00:37:48,560
Speaker 5: and innovation. And so we work to identify the districts

709
00:37:48,719 --> 00:37:51,960
Speaker 5: that we think are most competitive, recruit strong candidates to

710
00:37:52,080 --> 00:37:55,200
Speaker 5: run in them, help them put together their campaign's team

711
00:37:55,360 --> 00:37:58,520
Speaker 5: and campaign plan, and then continue to work with them

712
00:37:58,600 --> 00:38:02,200
Speaker 5: along the way, providing strict magic advice, helping the fundraise,

713
00:38:02,840 --> 00:38:06,880
Speaker 5: helping with media prep and debate prep. Really kind of

714
00:38:06,920 --> 00:38:11,080
Speaker 5: acting as similar to a startup incubator, a campaign incubator

715
00:38:11,160 --> 00:38:13,480
Speaker 5: for what are often these first time candidates.

716
00:38:13,680 --> 00:38:18,040
Speaker 1: I'd love you to explain to us sort of what

717
00:38:18,120 --> 00:38:23,040
Speaker 1: it means. So say you put a doctor in as

718
00:38:23,080 --> 00:38:26,919
Speaker 1: a converse person or in the Senate, hopefully it would

719
00:38:26,960 --> 00:38:30,719
Speaker 1: be amazing. How does it like? We understand how lawyers

720
00:38:30,840 --> 00:38:34,279
Speaker 1: help with being a legislator, but why would be a

721
00:38:34,280 --> 00:38:36,880
Speaker 1: doctor be good have an office?

722
00:38:37,160 --> 00:38:41,520
Speaker 5: Yeah, One is that people trust doctors and nurses. There's

723
00:38:41,520 --> 00:38:44,400
Speaker 5: an innate trust in people that go into that profession,

724
00:38:44,400 --> 00:38:46,880
Speaker 5: that go to help to spend their lives making people

725
00:38:46,960 --> 00:38:50,760
Speaker 5: healthier and safer. And you know, we've seen that play

726
00:38:50,800 --> 00:38:54,720
Speaker 5: out in the values and experience they bring to public office.

727
00:38:55,560 --> 00:38:59,520
Speaker 5: So Lauren Underwood is somebody we helped support. In twenty eighteen,

728
00:39:00,160 --> 00:39:03,800
Speaker 5: she became the youngest African American woman elected to Congress.

729
00:39:03,840 --> 00:39:06,920
Speaker 5: She had worked in public health and was a nurse,

730
00:39:07,239 --> 00:39:09,640
Speaker 5: and when she got to Congress, she co founded the

731
00:39:09,640 --> 00:39:12,320
Speaker 5: Black Paternal Health Caucus, and she thought it would just

732
00:39:12,400 --> 00:39:14,960
Speaker 5: be her and the one other member working on this

733
00:39:15,040 --> 00:39:18,080
Speaker 5: issue that has plagued America since before we were even

734
00:39:18,080 --> 00:39:20,799
Speaker 5: a country. And you know, I would argue no one

735
00:39:20,840 --> 00:39:23,319
Speaker 5: had made that a priority before, because no one had

736
00:39:23,360 --> 00:39:26,920
Speaker 5: brought her experience as a public health official, as a nurse,

737
00:39:26,960 --> 00:39:30,720
Speaker 5: as an African American woman. And instead it grew into

738
00:39:30,960 --> 00:39:36,000
Speaker 5: a bipartisan, bicameral caucus that has been moving the Omnibus

739
00:39:36,560 --> 00:39:41,120
Speaker 5: through and had portions of it signed into law. And

740
00:39:41,520 --> 00:39:44,400
Speaker 5: that really is you know what the folks that we

741
00:39:44,440 --> 00:39:47,480
Speaker 5: elect do is they focus on issues that might be

742
00:39:47,560 --> 00:39:50,880
Speaker 5: overlooked by the traditional members of Congress.

743
00:39:51,480 --> 00:39:55,040
Speaker 1: Yeah. I really like Lauren Underwood and think she's great,

744
00:39:55,120 --> 00:39:57,959
Speaker 1: and she worked on Obama Care too.

745
00:39:58,120 --> 00:40:00,880
Speaker 5: Write Yeah, that's what motivated her to run was when

746
00:40:01,000 --> 00:40:04,480
Speaker 5: her congressman voted after promising not to voted, to reveal

747
00:40:04,600 --> 00:40:07,920
Speaker 5: the Affordable Care Act, and she knew as an individual

748
00:40:07,960 --> 00:40:11,000
Speaker 5: who relied on it for her health insurance, but also

749
00:40:11,440 --> 00:40:14,799
Speaker 5: as a public health official, how important that is for

750
00:40:14,960 --> 00:40:17,400
Speaker 5: keeping children and really everyone healthier.

751
00:40:17,840 --> 00:40:21,719
Speaker 1: Clearly, like there are a lot of problems, for example,

752
00:40:22,120 --> 00:40:25,520
Speaker 1: like with the NIH grants, like Doge has come in

753
00:40:25,560 --> 00:40:27,880
Speaker 1: and done a lot of fucked up stuff, and we've

754
00:40:28,000 --> 00:40:31,480
Speaker 1: certainly lost a step, maybe more to China. If you

755
00:40:31,560 --> 00:40:35,480
Speaker 1: were at this moment to start legislating, what would be

756
00:40:35,600 --> 00:40:38,200
Speaker 1: the thing you would be both focused on at this

757
00:40:38,320 --> 00:40:41,760
Speaker 1: moment If Democrats win back power, I think what.

758
00:40:41,640 --> 00:40:43,719
Speaker 5: We have to do is put a system in place

759
00:40:43,760 --> 00:40:48,320
Speaker 5: that can't be completely dismantled by a whack crack pot

760
00:40:48,600 --> 00:40:51,319
Speaker 5: as Health and Human Services secretary, because that is what

761
00:40:51,440 --> 00:40:54,080
Speaker 5: has happened. It's it's Doge, but it's also Robert F.

762
00:40:54,160 --> 00:40:57,839
Speaker 5: Kennedy Junior has really led the charge with dismantling. You know,

763
00:40:57,880 --> 00:41:02,640
Speaker 5: our research institutions are ay to innovate. The reason that

764
00:41:02,680 --> 00:41:05,840
Speaker 5: the biotech revolution came from the United States is because

765
00:41:05,880 --> 00:41:10,360
Speaker 5: of our commitment to science and education, to an immigration

766
00:41:10,520 --> 00:41:14,680
Speaker 5: system that promoted people coming here and investing in companies

767
00:41:14,719 --> 00:41:18,960
Speaker 5: and starting companies, and that has been greatly dismantled by

768
00:41:18,960 --> 00:41:22,439
Speaker 5: this administration. So it's not just about the research that's

769
00:41:22,560 --> 00:41:27,000
Speaker 5: happening today. It's about what is going to happen ten, fifteen,

770
00:41:27,160 --> 00:41:30,400
Speaker 5: fifty years from now when we haven't made those concerted

771
00:41:30,440 --> 00:41:33,480
Speaker 5: investments and China has. China has made it easier to

772
00:41:33,520 --> 00:41:37,000
Speaker 5: develop drugs China is investing billions and billions of dollars

773
00:41:37,080 --> 00:41:39,600
Speaker 5: in research and they are going to take the lead

774
00:41:39,640 --> 00:41:43,239
Speaker 5: in the next century if we don't re establish our

775
00:41:43,320 --> 00:41:47,800
Speaker 5: institutions of research and our pathways of bringing that to market.

776
00:41:48,200 --> 00:41:50,920
Speaker 1: Yeah. I mean, China is a big worry for May

777
00:41:51,160 --> 00:41:54,560
Speaker 1: because of what's happening with the mRNA vaccines. And it

778
00:41:54,680 --> 00:41:57,839
Speaker 1: strikes me that the r of K Junior stuff like

779
00:41:57,960 --> 00:42:01,320
Speaker 1: this week, we saw him try to make it easier

780
00:42:01,360 --> 00:42:06,239
Speaker 1: for miners to do tanning. And also he's at war

781
00:42:06,480 --> 00:42:09,439
Speaker 1: with the antidepressants.

782
00:42:08,120 --> 00:42:13,520
Speaker 5: And has approved flavored vaping products which are marketed to children.

783
00:42:13,760 --> 00:42:17,160
Speaker 1: Oh, I didn't see the flavored vaping staff Jesus.

784
00:42:17,360 --> 00:42:20,200
Speaker 5: Really, this is where it's so important that we actually

785
00:42:20,280 --> 00:42:23,279
Speaker 5: pay attention to what he does and not what he says. No,

786
00:42:23,360 --> 00:42:26,160
Speaker 5: one doesn't want to make America healthier, but we know

787
00:42:26,320 --> 00:42:29,719
Speaker 5: we don't do that by cutting off food stamps, by

788
00:42:30,040 --> 00:42:34,240
Speaker 5: cutting off people's access to health insurance, and by approving

789
00:42:34,320 --> 00:42:38,360
Speaker 5: products that are known to be harmful to human health.

790
00:42:38,480 --> 00:42:41,719
Speaker 5: You know, even the Glycifa executive Order that came out

791
00:42:41,760 --> 00:42:44,799
Speaker 5: earlier this year. I mean, if there was one thing

792
00:42:45,280 --> 00:42:49,200
Speaker 5: that I thought RFK Junior was committed to it was

793
00:42:49,560 --> 00:42:54,279
Speaker 5: his campaign against roundup and instead with the executive order,

794
00:42:54,600 --> 00:42:56,680
Speaker 5: he just threw that right out the window to go

795
00:42:56,760 --> 00:43:00,760
Speaker 5: along with Trump's policy of putting something and it's pretty

796
00:43:00,800 --> 00:43:05,400
Speaker 5: clearly harmful to human health more into our food production.

797
00:43:06,000 --> 00:43:10,440
Speaker 1: Yeah, it's just mind blowing what's happening with RFK. But

798
00:43:10,520 --> 00:43:13,759
Speaker 1: it's clear that the Senate as boden as they were

799
00:43:14,080 --> 00:43:17,920
Speaker 1: when they elect, when they signed off on him for

800
00:43:18,040 --> 00:43:22,280
Speaker 1: his confirmation, seems like now they can't get they couldn't

801
00:43:22,320 --> 00:43:27,400
Speaker 1: get Casey means in there they're having some trouble maybe Trump.

802
00:43:27,480 --> 00:43:29,640
Speaker 1: I mean, who knows, because it's always hard to know

803
00:43:29,680 --> 00:43:32,440
Speaker 1: what Trump is ultimately going to do because who knows

804
00:43:32,719 --> 00:43:36,160
Speaker 1: it does not behave in normal ways. But he may

805
00:43:36,320 --> 00:43:39,279
Speaker 1: fire the head of the FDA, So i'd love you

806
00:43:39,360 --> 00:43:41,800
Speaker 1: to sort of like it does feel like the will

807
00:43:42,160 --> 00:43:45,920
Speaker 1: members of Congress and Republican parties starting to maybe push

808
00:43:45,960 --> 00:43:46,719
Speaker 1: back a little bit.

809
00:43:47,120 --> 00:43:49,520
Speaker 5: Yeah, I mean, I think this was the problem with

810
00:43:49,719 --> 00:43:53,240
Speaker 5: the thesis of the Trump campaign is they promised everything

811
00:43:53,280 --> 00:43:56,080
Speaker 5: to everyone. We're going to make America healthier again, and

812
00:43:56,080 --> 00:43:58,880
Speaker 5: we're going to make products cheaper. We're going to you know,

813
00:43:59,320 --> 00:44:03,960
Speaker 5: cater to the oil lobby while making America healthier, Like,

814
00:44:04,400 --> 00:44:08,000
Speaker 5: there were so many conflicting interests that just did not

815
00:44:08,200 --> 00:44:10,799
Speaker 5: line up, and you are seeing that play out with

816
00:44:11,160 --> 00:44:16,359
Speaker 5: the turmoil. Let's say within HHS that they are looking

817
00:44:16,440 --> 00:44:20,280
Speaker 5: to fire the FDA secretary or head, that they can't

818
00:44:20,280 --> 00:44:23,720
Speaker 5: get the surgeon general appointment approved. And now the latest

819
00:44:23,719 --> 00:44:27,840
Speaker 5: nomination is definitely not from the MAHA movement. And Republican

820
00:44:27,880 --> 00:44:30,400
Speaker 5: members of Congress are not. You know, they may be

821
00:44:30,719 --> 00:44:33,440
Speaker 5: anti science, but they can read a poll and they

822
00:44:33,480 --> 00:44:40,520
Speaker 5: know how dramatically unpopular the dissembling of the childhood vaccine

823
00:44:40,560 --> 00:44:41,160
Speaker 5: schedule is.

824
00:44:41,880 --> 00:44:47,359
Speaker 1: Yeah, and I mean it's also just really unpopular and

825
00:44:47,400 --> 00:44:52,359
Speaker 1: it's all so really destructive. Right so that you were

826
00:44:52,360 --> 00:44:55,239
Speaker 1: talking about the South Carolina measles outbreak, but we have

827
00:44:55,360 --> 00:44:56,480
Speaker 1: other outbreaks too.

828
00:44:56,920 --> 00:45:00,080
Speaker 5: Yeah, and you know a lot of the research but

829
00:45:00,280 --> 00:45:03,120
Speaker 5: I mean, right now there's the outbreak on the on

830
00:45:03,239 --> 00:45:06,400
Speaker 5: the cruise ship in South America and people are dying

831
00:45:06,480 --> 00:45:09,000
Speaker 5: and people are scared, and people are being you know,

832
00:45:09,040 --> 00:45:11,680
Speaker 5: we're having the contact trace once again. But you know,

833
00:45:11,760 --> 00:45:13,920
Speaker 5: let's just look back on the last year and what

834
00:45:14,880 --> 00:45:19,479
Speaker 5: research was unfunded by the Trump administration, the research into

835
00:45:19,520 --> 00:45:23,279
Speaker 5: this virus. You know, I mean there are consequences to

836
00:45:23,760 --> 00:45:29,920
Speaker 5: taking a chainsaw to our research institutions and our ability

837
00:45:30,000 --> 00:45:33,600
Speaker 5: to produce quality research, and we are seeing it play

838
00:45:33,600 --> 00:45:37,040
Speaker 5: out right now. It didn't even take five years. It

839
00:45:37,160 --> 00:45:42,400
Speaker 5: is just you know RFK Junior's crusade against RNA vaccines,

840
00:45:42,840 --> 00:45:46,400
Speaker 5: you know, when they are showing that they are basically

841
00:45:46,680 --> 00:45:49,799
Speaker 5: answer vaccines. I mean, if you knew that you could

842
00:45:49,800 --> 00:45:51,919
Speaker 5: take a vaccine that was going to prevent you from

843
00:45:51,920 --> 00:45:56,160
Speaker 5: getting pancreatic cancer, you know, most people would say, I.

844
00:45:56,120 --> 00:45:58,839
Speaker 1: Would take that, Yeah, I mean I would take it.

845
00:45:58,920 --> 00:46:01,879
Speaker 5: I would take it before tide that hasn't even been

846
00:46:02,000 --> 00:46:02,840
Speaker 5: FDA approved.

847
00:46:03,000 --> 00:46:06,319
Speaker 1: I mean yes, but RFK loves a peptide and he

848
00:46:06,360 --> 00:46:11,200
Speaker 1: also loves can. Yeah. Do you have any sort of

849
00:46:11,320 --> 00:46:12,840
Speaker 1: positive thing to tell.

850
00:46:12,680 --> 00:46:17,080
Speaker 5: Us that there still is good research being funded?

851
00:46:17,320 --> 00:46:17,680
Speaker 1: Really?

852
00:46:17,920 --> 00:46:22,320
Speaker 5: You know, even with some of the RFK cut funding

853
00:46:22,360 --> 00:46:26,400
Speaker 5: to mRNA vaccines, and the military basically said, the Pentagon

854
00:46:26,440 --> 00:46:28,719
Speaker 5: said we'll be taking over that because it is a

855
00:46:28,800 --> 00:46:32,600
Speaker 5: national security issue. And so there are some guardrails in

856
00:46:32,680 --> 00:46:36,040
Speaker 5: place or some alternative institutions that are picking it up,

857
00:46:36,080 --> 00:46:38,840
Speaker 5: but we can't sustain this for the long run. We

858
00:46:38,960 --> 00:46:42,759
Speaker 5: need to have an administration and certainly a Health secretary,

859
00:46:42,800 --> 00:46:46,920
Speaker 5: that is committed to actual gold standard science, that is

860
00:46:47,239 --> 00:46:51,760
Speaker 5: committed to our culture of innovation and research and education

861
00:46:51,960 --> 00:46:55,640
Speaker 5: that produces these wonderful treatments and advancements that we wouldn't

862
00:46:55,680 --> 00:46:56,480
Speaker 5: get otherwise.

863
00:46:56,840 --> 00:47:01,480
Speaker 1: Yeah, yeah, yeah, a man so scary and just so dark.

864
00:47:01,719 --> 00:47:03,640
Speaker 1: Tell us if we want to support you, how do

865
00:47:03,680 --> 00:47:05,880
Speaker 1: we do it? If we want to support your organization?

866
00:47:06,440 --> 00:47:10,319
Speaker 5: Our website is three one four action dot org and

867
00:47:10,480 --> 00:47:14,160
Speaker 5: again we work to elect scientists and doctors all across

868
00:47:14,160 --> 00:47:16,880
Speaker 5: the country. We have endorsed over two hundred and fifty

869
00:47:16,880 --> 00:47:21,439
Speaker 5: scientists running this year and are committed to getting them

870
00:47:21,480 --> 00:47:24,400
Speaker 5: elected and winning back the US House.

871
00:47:24,760 --> 00:47:26,720
Speaker 1: Thank you, thanks for joining us.

872
00:47:26,760 --> 00:47:28,279
Speaker 5: Well, thank you, I appreciate it.

873
00:47:30,560 --> 00:47:35,680
Speaker 2: No moment, Jesse Cannon, So, Mollie, I know you're going

874
00:47:35,760 --> 00:47:38,040
Speaker 2: to be disappointed. At the moment of fuckery right now

875
00:47:38,160 --> 00:47:40,560
Speaker 2: is not that there's a potential shortage of aluminum for

876
00:47:40,600 --> 00:47:44,600
Speaker 2: diet coke kids, your greatest addiction. But the moment of fucker.

877
00:47:45,600 --> 00:47:48,040
Speaker 2: The moment of fuckery is actually that we have a

878
00:47:48,120 --> 00:47:51,440
Speaker 2: weak CIA analysis that shows Trump and Hegsith lie through

879
00:47:51,440 --> 00:47:54,920
Speaker 2: their teeth about the Iraq war, and that one of

880
00:47:54,920 --> 00:47:57,920
Speaker 2: my favorite things is that the CIA has decided that

881
00:47:57,920 --> 00:48:01,719
Speaker 2: Tarad can hold out for months from this blockade, and

882
00:48:01,880 --> 00:48:03,120
Speaker 2: they lied about that.

883
00:48:03,640 --> 00:48:07,640
Speaker 1: Of course, really they lie. Next you're going to say

884
00:48:07,640 --> 00:48:12,240
Speaker 1: they're stupid. No, Jesse, it cannot be that these people,

885
00:48:12,560 --> 00:48:16,400
Speaker 1: white House officials, just straight up fabricated shit, says a

886
00:48:16,520 --> 00:48:18,960
Speaker 1: Democratic senator from Connecticut.

887
00:48:19,000 --> 00:48:23,840
Speaker 4: I bet I know, yeah one, yeah, no, they're fucking liars,

888
00:48:23,920 --> 00:48:24,439
Speaker 4: this crew.

889
00:48:25,040 --> 00:48:28,640
Speaker 1: This is what they do. They're just lying. So, by

890
00:48:28,680 --> 00:48:31,880
Speaker 1: the way, I still think that the reason they got

891
00:48:31,920 --> 00:48:34,760
Speaker 1: into this law is because they got dripped by net Yahoo.

892
00:48:35,000 --> 00:48:37,359
Speaker 1: Of course, these guys are liars. This is what they do.

893
00:48:37,440 --> 00:48:41,240
Speaker 1: They lie, they obfuscate, and also they're not very smart.

894
00:48:41,360 --> 00:48:45,840
Speaker 1: That's it for this episode of Fast Politics. Tune in

895
00:48:46,000 --> 00:48:51,480
Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best

896
00:48:51,560 --> 00:48:55,839
Speaker 1: minds and politics make sense of all this chaos. If

897
00:48:55,880 --> 00:48:58,920
Speaker 1: you enjoy this podcast, please send it to a friend

898
00:48:59,360 --> 00:49:02,560
Speaker 1: and keep the conversation going. Thanks for listening.