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Speaker 1: Hey guys, Saga and Crystal here.

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 2: and we are so excited about what that means for

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Speaker 2: the future of the show.

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Speaker 3: This is the only place where you can find honest

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Speaker 3: perspectives from the left and the right that simply does

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Speaker 3: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 2: you'll get access to our full shows, unedited, ad free,

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Speaker 2: and all put together for you every morning in your inbox.

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Speaker 3: We need your help to build the future of independent

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Speaker 3: news media and we hope to see you at Breakingpoints

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Speaker 3: dot com. Good morning, everybody, Happy Thursday.

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Speaker 1: I had to do a little bit of it.

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Speaker 3: I was like, Thursday, we have an amazing show for

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Speaker 3: everybody today.

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Speaker 4: What do we have christ Indeed, we do.

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Speaker 2: Amazon replacing six hundred thousand workers with robots.

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Speaker 4: That seems like a big deal.

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Speaker 2: Andrey Yang is going to join us to discuss that

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Speaker 2: and also his new cellular phone effort, very interesting project

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Speaker 2: that he's working on. He's also going to weigh in

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Speaker 2: on the big debate last night. Zorn, Curtisly and Andrew

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Speaker 2: Cuomo are taking to the stage once again. We've got

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Speaker 2: some highlights, low lights whatever from that. Also, Zorin went

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Speaker 2: on with the guys over at Flagrant. That was very

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Speaker 2: interesting as well. We've got some new, really dire information

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Speaker 2: about the way that healthcare costs are going up. So

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Speaker 2: we've been covering here that if you were on the

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Speaker 2: Obamacare exchanges, obviously those subsidies have been really critical. They

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Speaker 2: have not been extended, so that's been a dire situation.

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Speaker 2: Now we're taking a look at the employer that healthcare

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Speaker 2: plans as well. Those costs going up a lot too,

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Speaker 2: So not good, not good at all for.

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Speaker 4: A lot of people out there Israel.

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Speaker 2: A lot of updates, but in particular, there was a

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Speaker 2: big vote in the Kanesset to Annix to west Bank

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Speaker 2: while you know, while Jadie Vance was there, he had

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Speaker 2: something to say about that as well, so we'll dig

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Speaker 2: into that.

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Speaker 4: We have another boat that was blown up.

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Speaker 2: As we seem to be marching increasingly rapidly towards a

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Speaker 2: regime change war in Venezuela, sagar Is has some thoughts

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Speaker 2: about the White House demolition slash renvation.

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Speaker 1: Listen, Antifa, I'm ready draft.

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Speaker 4: Me a super soldier and you have a super.

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Speaker 3: Soldier, get me a blow torch, sneak. But for the record,

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Speaker 3: for the United States Secret Service, this is a joke.

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Speaker 3: It's a satire. This is okay, it's a parody, and

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Speaker 3: it is a satire. But you know, if if somebody

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Speaker 3: were to sneak me back onto the White House grounds

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Speaker 3: and give me a blowtorch and or and or be

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Speaker 3: one of those tree hugger activists that could like chain

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Speaker 3: myself to the original East Wing, I would be ready.

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Speaker 4: Apparently there's nothing left to change.

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Speaker 3: No, no, it's this weekend. The facade remains all right,

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Speaker 3: so we have a chance. By the way, this is,

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Speaker 3: I will never be more nimby than I am today.

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Speaker 1: But I'll outline in the White House so.

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Speaker 4: Everybody can look forward to that.

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Speaker 2: And I am taking a look at the whole Grand

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Speaker 2: Flatner tattoo Reddit Gate situation. He got the tattoo covered up.

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Speaker 2: Everybody who got an update there. In case you haven't

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Speaker 2: seen enough of this man's shirtless body, we've got more

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Speaker 2: of that for you today.

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Speaker 1: I never know.

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Speaker 3: I never wanted to know the nipple shape and size

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Speaker 3: of US Senate candidate, and I remain that way.

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Speaker 2: Welcome to twenty twenty five. That is twenty twenty if

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Speaker 2: you never could have imagined, are now on the table.

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Speaker 3: Yeah, it's dark out here. Okay, all right, let's go

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Speaker 3: ahead and get to AI, shall we. Let's go and

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Speaker 3: put this up here on the screen. This is major

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Speaker 3: news from the economy. We have Amazon now planning to

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Speaker 3: replace more than half a million jobs with robots, and

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Speaker 3: it sounds like it's out of a movie, except it's

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Speaker 3: actually out of a press release. They say that the

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Speaker 3: company has done more to shape the American workplace than Amazon.

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Speaker 3: It is already I think, the second largest employer in

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Speaker 3: the entire United States, and they're now just openly saying

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Speaker 3: they have built an army of robots which they hope

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Speaker 3: to replace more than half a million jobs with. And

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Speaker 3: there's nothing really that you can do about it. There's

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Speaker 3: no legislation, there's no politicians, nobody even really particularly cares

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Speaker 3: at Amazon Automation expects the company can avoid hiring more

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Speaker 3: than one hundred and sixty thousand people in the United

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Speaker 3: States it would otherwise need just by twenty twenty seven.

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Speaker 3: That would save thirty cents on each item that Amazon

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Speaker 3: picks packs delivers to customers, which at scale is multiples

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Speaker 3: of billions. Executives told the Amazon board just last year,

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Speaker 3: robotic animation would allow the company to continue to avoid

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Speaker 3: adding its US workforce numbers, and they will translate to

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Speaker 3: more than six hundred thousand people that they do not

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Speaker 3: need to hire. Amazon right now remains not only the

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Speaker 3: second largest employer, one of the largest seasonal employers in

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Speaker 3: the United States. It's one of the easiest ways for

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Speaker 3: lower income folks out there to be able to get

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Speaker 3: some seasonal work, and many of them rely on it. Famously,

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Speaker 3: there was a movie it was a Nomadland if you remember,

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Speaker 3: you know, they showed this entire phenomenon. Now, I don't

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Speaker 3: think it's a good phenomenon to even have seasonal worker,

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Speaker 3: but it's better than nothing. And now they're saying even

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Speaker 3: that itself is gone. So this is dark. It's very

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Speaker 3: very dark stuff. Yeah, in terms of I as usual.

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Speaker 3: You know, when they announce this stuff on press calls

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Speaker 3: and then the stock goes up, that's when it gets

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Speaker 3: really distobing.

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Speaker 2: Yeah, because you're rewarded as a company, You're rewarded for

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Speaker 2: replacing human workers.

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Speaker 4: That is the reality.

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Speaker 2: And so we've covered Amazon a lot over the years

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Speaker 2: a lot, and there's a reason for that. It's because,

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Speaker 2: asocreg just said, they are the second largest employer and

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Speaker 2: a lot of ways they have completely reshaped the labor

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Speaker 2: market in the US. They have lowered the standards both

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Speaker 2: in terms of wages and safety and specifically the warehouse

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Speaker 2: and logistics industry. We've of course covered the abuses of

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Speaker 2: their delivery drivers. The way that they operate is they

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Speaker 2: drive their workers until they can no longer physically do

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Speaker 2: the tasks. They like to have a very high churn.

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Speaker 2: Why because they don't want you to stick around and

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Speaker 2: have to like and want higher pay or elevate to

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Speaker 2: higher levels of management.

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Speaker 4: I got plenty of issues with Walmart as well, but

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Speaker 4: actually one of.

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Speaker 2: The things they do is they try to recruit from

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Speaker 2: their own sales associates and elevate them up the chain.

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Speaker 2: Amazon is the exact opposite. They have very high churn

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Speaker 2: and it's by design. So what they're doing here is

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Speaker 2: rather than laying off a bunch of workers, they're just

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Speaker 2: going to let that normal churn run its course and

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Speaker 2: not rehire deadly, shrinking and shrinking and shrinking their workforce.

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Speaker 2: Six hundred thousand jobs. Guys, that is a lot. That

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Speaker 2: is a large percentage of their workforce here in the US.

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Speaker 2: And here's the other thing. Once they go down this path,

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Speaker 2: they are trendsetters. Not just their rivals in the space,

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Speaker 2: but all sorts of companies, especially ones that work in

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Speaker 2: any sort of warehousing and logistics, are going to be

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Speaker 2: looking at this and learning and trying to trying to

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Speaker 2: copy whatever it is that Amazon is doing. This moment

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Speaker 2: of AI job replacement, it is here, and it is

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Speaker 2: shocking to me how few politicians talk about it. I

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Speaker 2: heard Bernie start to talk about it, but there is

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Speaker 2: so little discussion around this. And meanwhile, a handful of

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Speaker 2: people hold all of our faiths in their hands.

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Speaker 4: Is absolutely insane.

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Speaker 3: Yeah, absolutely, so let's stick Actually even within the AI

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Speaker 3: labs themselves.

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Speaker 1: Put this up here on the screen.

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Speaker 3: So not only are robots coming for AI jobs, and

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Speaker 3: now appears to be coming for the AI jobs themselves.

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Speaker 3: So you can see Meta has cut some six hundred

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Speaker 3: jobs in the AI super Intelligence division. The layoffs will

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Speaker 3: quote affect legacy teams, but not the company's brand new

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Speaker 3: lab unit. The jobs will affect the company's teams focus

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Speaker 3: on artificial intelligence products, infrastructure, and long term AI research.

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Speaker 3: By reducing the size of our team, fewer conversations will

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Speaker 3: be required to make a decision, and each person will

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Speaker 3: have a more load bearing and more scope and impact.

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Speaker 3: Alexander Wang, Meta's chief AI officer, said, So most of

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Speaker 3: the affected employees will have the opportunity to quote be

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Speaker 3: redeployed at the company. But what I think it does

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Speaker 3: demonstrate to all of you is that even within the

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Speaker 3: AI builders themselves, they have to grapple with their betting

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Speaker 3: on replacing everybody. But in the immediate term, there's no profit.

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Speaker 3: I mean, I can't get away from chat GPT. It's

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Speaker 3: one of those where it's just so crazy when you

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Speaker 3: consider the financials and listen, Yes, I understand scale, I

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Speaker 3: understand exponential growth, etc.

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Speaker 4: But when you scale up the netlokay, So how does

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Speaker 4: that work?

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Speaker 1: This is what I'm trying to say.

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Speaker 3: So chat GPT has a revenue of thirteen billion dollars.

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Speaker 3: That's a lot of money. That's great, actually awesome, awesome job,

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Speaker 3: especially for a company that just launches flagship product in

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Speaker 3: twenty twenty two. But they have one trillion dollars in

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Speaker 3: outlays over the next decade. Now, those one trillion dollars

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Speaker 3: in outlays. Are not traditional cash finance deals. We talked

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Speaker 3: about this with David Dan. They're either called round tripping

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Speaker 3: or vendor finance. I prefer vendor finance is a long term.

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Speaker 3: It's a long standing term that I think a lot

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Speaker 3: of people can relate to, especially with the dot com bubble,

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Speaker 3: and it effectively relates to They're like, hey, we're gonna

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Speaker 3: buy x amount of chips from Nvidia, and Vidia is like, okay,

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Speaker 3: and that's why, will either grant you stock or you

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Speaker 3: get some portion of our company, and then the two

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Speaker 3: stocks simultaneously go up at the exact same time. But

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Speaker 3: the problem with that is that the future revenue that's

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Speaker 3: booked for Nvidia is based on a promise chat GPT,

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Speaker 3: but no money has actually exchanged hands. But it's just

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Speaker 3: based on the craze and on the expectation itself of

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Speaker 3: value that both continue to rise. So there's no money

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Speaker 3: that actually happened, but hundreds of billions of dollars in

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Speaker 3: value have been created. This is not just in video,

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Speaker 3: this is every major chip manufacturer in the world. Open

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Speaker 3: Ai has done five or six different of these types

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Speaker 3: of deal, adding several billions built in several I think

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Speaker 3: almost a trillion dollars in market cap to many of

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Speaker 3: these different companies, again off of a thirteen billion dollar valuation.

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Speaker 3: The problem with that is that if the growth stops

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Speaker 3: even a little bit and you have a fifty percent cut.

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Speaker 1: Down, then that's the entire S and P.

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Speaker 3: Five hundred and eighty percent of the stocks gains in

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Speaker 3: twenty twenty five so far are from AI stocks. Forty

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Speaker 3: percent come from this expected value data center construction. So

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Speaker 3: again it's to think about the housing how much it

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Speaker 3: was part of the GDP back in two thousand and

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Speaker 3: six and two thousand and seven, home building alone was like.

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Speaker 1: A huge portion.

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Speaker 3: Well then with the Great Recession hit and people stop

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Speaker 3: building home boom, you know, massive hit not only to

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Speaker 3: the housing stock but also construction labor materials, and there

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Speaker 3: are all kinds of you know, Nevada remember had a

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Speaker 3: horrible crisis in terms of housing and a shortage that

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Speaker 3: took almost a decade to recover from.

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Speaker 1: That's the stuff that I worry about the most. We

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Speaker 1: have the job angle.

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Speaker 3: You have the fact that profit's not there, that's why

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Speaker 3: Meta is cutting some of these jobs. And then you

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Speaker 3: have basically Sam Altman, who is like this master deal maker.

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Speaker 3: The Wall Street Journal now officially describes him as too

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Speaker 3: big to fail, meaning if this comes down, we have

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Speaker 3: to bail out. If we don't bail out, the entire

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Speaker 3: economy will go down.

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Speaker 1: We don't have a choice, and so we can see it.

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Speaker 4: All our eggs in this back.

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Speaker 3: Literally all of our eggs in the basket. And what

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Speaker 3: concerns me is it's kind of like housing. Nobody in

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Speaker 3: Washington ever made a decision that we're going all in

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Speaker 3: on AI. They kind of just let it happen. They

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Speaker 3: were like, yeah, okay, you know, with tax incentives, and

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Speaker 3: now it's just like subprime. You get to the point where, yeah,

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Speaker 3: I mean, bailing out AIG is horrible. Not bailing out

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Speaker 3: AIG is also horrible.

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Speaker 1: So we don't know what to do. By the way,

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Speaker 1: we all know which way.

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Speaker 2: I actually do think that this administration decided made affirmative

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Speaker 2: choice to go all in on AI. I mean, you

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Speaker 2: remember the big announcement on inaugurator the day after Inauguration Day, say, oh,

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Speaker 2: we're gonna, you know, have all of this investment in AI.

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Speaker 2: And that was, you know, part of why some of

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Speaker 2: these tech guys flipped to Trump is because listen, the

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Speaker 2: Biden administration wasn't doing a lot in terms of AI regulation,

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Speaker 2: but they were doing.

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Speaker 4: A little bit.

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Speaker 2: There was a little bit more of like a mindset

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Speaker 2: towards all right, let's let's have some safety.

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Speaker 4: Let's have some guardrails in here.

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Speaker 2: Again, I'm not trying to I'm not trying to bump

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Speaker 2: them up, because it was also not sufficient.

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Speaker 4: But the Trump administration.

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Speaker 2: Has basically said, all right, off to the races. You know,

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Speaker 2: we're in a race with China. You guys are at

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Speaker 2: a race with each other, and everybody is just throwing

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Speaker 2: billions and billions of dollars at this thing, hoping that

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Speaker 2: they're going to be the one that achieves agi fastest

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Speaker 2: and achieves the market position fastest. So that is an

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Speaker 2: affirmative decision that was made. I don't think it's the

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Speaker 2: one that most of you all voted for. I don't

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Speaker 2: think that was like featured heavily in the campaign trail.

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Speaker 2: I don't think there was a lot of focus on

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Speaker 2: that at BAY. I don't think there's been any sort

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Speaker 2: of like a national, small de democratic conversation about it.

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Speaker 2: But there are a lot of elites here and specifically

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Speaker 2: these tech oligarchs who've decided that this is the path

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Speaker 2: that they want to go on, and so you know,

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Speaker 2: you've got Their goal is to remake the social contract,

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Speaker 2: to make you and your labor completely irrelevant, to free

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Speaker 2: themselves from the burden of having to deal with annoying

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Speaker 2: human workers and their needs to like, you know, go

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Speaker 2: to the bathroom or take a day off for their

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Speaker 2: kid's birthday or school play or whatever. They want to

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Speaker 2: free themselves from all of those constraints. And so you

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Speaker 2: have that threat, which in many ways is here, and

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Speaker 2: you also have the incredible financial concentration, which I think,

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Speaker 2: I mean, I don't know how you can look at

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Speaker 2: this and not think it's a bubble at this point.

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Speaker 2: And by the way, Mark Zuckerberg thinks it's a bubble.

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Speaker 2: Jeff Bezos thinks it's a bubble. They've been talking about

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Speaker 2: this openly now they have various cope around it. Zuckerberg

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Speaker 2: says basically like, yeah, but you know that bubbles happen,

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Speaker 2: and then there's still a lot of innovation that comes

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Speaker 2: down of it, So still a net pod positive thing.

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Speaker 2: Like that's the way that they're talking about it. But

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Speaker 2: with the Nvidia things specifically, you know, if the demand

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Speaker 2: for these chips is really so high and so extraordinary,

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Speaker 2: why do they need to round trip these funds? Why

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Speaker 2: do they need to subsidize the purchase of their own chips?

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Speaker 2: That alone should make you question some of the storytelling

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Speaker 2: that is coming out of this industry. So, I don't know,

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Speaker 2: there are many different potential parols here and very hard

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Speaker 2: for me to see how we get out of this

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Speaker 2: thing without it without some very ugly consequences.

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Speaker 3: Yeah, let's go ahead and put this next one, please

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Speaker 3: up on the screen. I thought it was really interesting.

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Speaker 3: A summary of Andre Carpathi, who is you know, he

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Speaker 3: was a previously the director of AI over at Tesla

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Speaker 3: and he now has appeared on a podcast and this

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Speaker 3: was a summary of some of the points that he makes.

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Speaker 3: He says, quote, lms don't work yet, they don't have

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Speaker 3: enough intelligence. They're not multimodal enough too. When you boot

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Speaker 3: them up, they start from zero. They have no distillation phrase,

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Speaker 3: there's no process where that happens get analyzed written back

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Speaker 3: into weights three when it's stored in their weights, it's

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Speaker 3: only a hazy collection of the Internet. Go to the

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Speaker 3: next part please, just so we can continue to read

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Speaker 3: some of these. What you really see, broadly from a

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Speaker 3: lot of the points that they make is that they're

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Speaker 3: too good at imitation, they're terrible at going off of

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Speaker 3: the data. They have too much memory and not enough reasoning.

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Speaker 3: They've recreated quote cortical tissue pattern learning in general, but

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Speaker 3: still missing the rest of the brain. There's no hippocampus,

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Speaker 3: there's no amigdala, there's no emotions. They memorize perfectly, but

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Speaker 3: generalized poorly. Anything truly new code that has never written before,

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Speaker 3: ideas that have no template.

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Speaker 1: They stumble.

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Speaker 3: So even the promises of some of this are not

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Speaker 3: really materializing yet, and they're being sold as some great,

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Speaker 3: great innovation. That's why I thought that Sam Altman's announcement

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Speaker 3: that chat ChiPT will be porn that was like the

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Speaker 3: biggest signal to me. I'm like, AGI is not coming, guys,

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Speaker 3: like the real AGI. It's not happening. Really, what it

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Speaker 3: is is they recreated the internet, chatchept started its new browser.

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Speaker 3: I don't know if you saw this yesterday where you

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Speaker 3: can download what do you think you do that for?

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Speaker 1: It's like Google hoover.

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Speaker 3: Up all the data, make sure that you replace and

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Speaker 3: then what you make sure you spend as much time

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Speaker 3: on the goddamn platform as possible so we can sell

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Speaker 3: you advertising, so we can have you addicted to pornography,

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Speaker 3: and we can run your entire life from gcal to everything.

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Speaker 1: It's just an ad supportive business. That's not the same thing.

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Speaker 3: That was sold to the public about we're going to create,

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Speaker 3: you know, a new brain that's going to cure cancer.

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Speaker 1: It's like, no, you're just you just have porn.

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Speaker 3: Okay, I mean that's that's exactly what happened with the

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Speaker 3: original Internet.

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Speaker 1: So I'm feeling very bleak this morning.

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Speaker 3: I do think the job replacement could come the robot stuff,

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Speaker 3: because that's about roat labor and automation. But the real

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Speaker 3: promises of oh we're going to do that, We're going

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Speaker 3: to create all these amazing new products.

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Speaker 1: I don't see it. I don't see it on the horizon.

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Speaker 2: I hope it fails. Personally, I do. I hope it fails,

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Speaker 2: because I mean I'm very concerned. Listen, like Soccer said,

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Speaker 2: even with the where they've gotten now, we're already seeing

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Speaker 2: job replacement. But it could be worse. It could be

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Speaker 2: a lot worse. And so there's there's that aspect, there's

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Speaker 2: the water and energy aspect, and then there's the potential

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Speaker 2: like most dystopian scenarios, of which yeah, I am genuinely

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Speaker 2: concerned about, and by the way, the guys who are

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Speaker 2: involved in this stuff are concerned about. They've just decided like, well,

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Speaker 2: maybe if I'm the one that develops it, I can

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Speaker 2: do it in a safe way, and my competitors are

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Speaker 2: doing it anyway, so it's not like me staying out

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Speaker 2: of the race. And I'm thinking specifically of Elon Musk,

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Speaker 2: who really had a lot of safety concerns to start with,

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Speaker 2: and then realize like, well, I guess everybody else is

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Speaker 2: doing it, so I'm just going to get in there

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Speaker 2: and make mine anti woke, and I guess that'll fix

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Speaker 2: everything they are concerned about, like the most dire scenarios

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Speaker 2: as well. So I think the best case scenario is

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Speaker 2: that they never achieve agi that it ends up just

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Speaker 2: being sort of like a glorified Google search the way

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Speaker 2: it is, and an ability for you to make your

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Speaker 2: own personalized, customized porn or whatever, and that that's where

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Speaker 2: it stops. To me, that is the most hopeful possible

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Speaker 2: scenario and is still not a great one.

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Speaker 3: See it only is hopeful because that just means AI

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Speaker 3: centered at degenerate activity already on the Internet and fying

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Speaker 3: it and making it.

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Speaker 2: I'm not saying it's good soger, Okay, I'm saying I

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Speaker 2: don't want it to go further that it already has.

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Speaker 3: We have Andrew Yang standing by a two way in

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Speaker 3: og friend of the show.

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Speaker 1: Let's get to it.

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Speaker 3: We just talked a lot about AI, but now we're

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Speaker 3: going to talk about smartphones. And Andrew Yang a great friend,

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Speaker 3: maybe the foundational friend of the show, true is going

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Speaker 3: to join us.

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Speaker 4: Bed Rock bed Rock Friend of the show.

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Speaker 3: Andrew Yang, you have a new project out that you're advertising.

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Speaker 1: It's great to see you, my friend.

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Speaker 3: But first let's play your announcement and then we're gonna

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Speaker 3: get your reaction.

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Speaker 1: Let's take a listen.

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Speaker 5: Our phones are amazing, but they're taking something from us,

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Speaker 5: our time, our focus, the moments that matter most. I

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Speaker 5: have a great day.

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Speaker 6: Serious, what's your phone down? That's where you're going? Look up?

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Speaker 7: Hey, guys, just left the West Village and I'm on

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Speaker 7: the highlight.

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Speaker 6: Put your phone down.

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Speaker 5: Here to scroll at a ball and Noble We don't

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Speaker 5: want you addicted to your phone.

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Speaker 6: We want you to live more. That's why we'll pay

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Speaker 6: you to use your phone less.

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Speaker 5: So, for heaven's sake, please do yourself a favor and

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Speaker 5: put your phone.

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Speaker 1: Down, all right, Andrew, So what is this project about, Saga.

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Speaker 5: I've noticed that Americans are miserable, and we're miserable for

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Speaker 5: a couple of big reasons. Number one, we're not saving

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Speaker 5: enough money. We're paying Verizon AT and T twice as

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Speaker 5: much as people in other countries pay for their wireless services.

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Speaker 5: I was paying Rizon one hundred and forty a month,

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Speaker 5: now I'm down to about.

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Speaker 6: Forty six a month.

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Speaker 5: And then the second is that we're being bombarded by

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Speaker 5: these negative emotions through what Hassan Minhaj calls our rectangles

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Speaker 5: of sadness our cell phones. And so I thought, well, geez,

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Speaker 5: if we can solve those two problems, we'd go a

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Speaker 5: very long way. And folks who follow me know that

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Speaker 5: I'm deeply concerned about polarization, and that's a lot of

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Speaker 5: it through social media and our smartphone. So Noble Mobile

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Speaker 5: the first carrier that will actually pay you if you

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Speaker 5: use your phone a little bit less.

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Speaker 6: It's fifty dollars for unlimited, but if you use a

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Speaker 6: little bit less data, we'll give you.

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Speaker 5: Up to twenty bucks cash back every month and then

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Speaker 5: pay five and a half percent interest on any savings.

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Speaker 5: So your phone plan becomes your friendly angel nudging you

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Speaker 5: to doom scroll a little bit less.

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Speaker 1: All right, kind of like it?

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Speaker 6: I like it.

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Speaker 2: So this comes at a moment when there's obviously heated

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Speaker 2: debate over screen time and cell phones and schools. There's

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Speaker 2: actually a little bit of new research out that I

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Speaker 2: wanted to get your reaction to with regard to the

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Speaker 2: school cell phone bands, which my kids public schools just

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Speaker 2: implemented last year. So this is the second year where

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Speaker 2: we've had a cell phone ban. They're very opposed. I'm

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Speaker 2: very supportive. Can put this up on the screen. So

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Speaker 2: schools bands phone saw surprising results beyond fewer distractions, And

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Speaker 2: what they found is that initially there was an adjustment period.

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Speaker 2: Disciplinary issues spiked because kids were getting in trouble for

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Speaker 2: having their phones and using their phones when they weren't

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Speaker 2: supposed to be. But they said by second year, suspension

439
00:20:01,240 --> 00:20:05,199
Speaker 2: rates return to normal and test scores actually rose significantly.

440
00:20:05,359 --> 00:20:07,520
Speaker 2: According to the researchers student scores in the school district

441
00:20:07,560 --> 00:20:10,159
Speaker 2: notably increased by about two to three percentiles in the

442
00:20:10,200 --> 00:20:13,320
Speaker 2: second year of the band compared to the year before

443
00:20:13,480 --> 00:20:15,600
Speaker 2: the ban. So what do you make of the study

444
00:20:15,680 --> 00:20:18,200
Speaker 2: and do those sorts of results surprise.

445
00:20:17,880 --> 00:20:21,520
Speaker 5: You, Crystal, I'm so glad that you're trying to get

446
00:20:21,520 --> 00:20:24,879
Speaker 5: smartphones out of your your kids middle school or junior high.

447
00:20:25,240 --> 00:20:28,200
Speaker 5: I'm friends with Jonathan Height, who obviously has made history

448
00:20:28,240 --> 00:20:32,159
Speaker 5: with the actious generation, and any parent knows, I'm a parent.

449
00:20:32,840 --> 00:20:35,600
Speaker 6: We used to think that the internet and these phones.

450
00:20:35,280 --> 00:20:37,560
Speaker 5: Would help your kids learn, but the truth is it's

451
00:20:37,560 --> 00:20:41,240
Speaker 5: shortening their attention span. It's making it harder to retain

452
00:20:42,320 --> 00:20:45,200
Speaker 5: new information because they just think they can get it

453
00:20:45,240 --> 00:20:48,360
Speaker 5: from the internet at all times. So if you circumscribe

454
00:20:48,760 --> 00:20:52,600
Speaker 5: smartphone use, your kid reads more, get smarter. Not surprised

455
00:20:52,640 --> 00:20:54,960
Speaker 5: at all, and thrilled that so many schools are making

456
00:20:54,960 --> 00:20:59,720
Speaker 5: this move. They're finding astounding results, generally within one or

457
00:20:59,720 --> 00:21:00,600
Speaker 5: two years.

458
00:21:01,080 --> 00:21:01,320
Speaker 6: Yeah.

459
00:21:01,359 --> 00:21:02,920
Speaker 3: One of the things that we looked at, not only

460
00:21:03,000 --> 00:21:06,639
Speaker 3: with the studies, is that there has been a bifurcation

461
00:21:06,720 --> 00:21:08,800
Speaker 3: in my opinion, Andrew, which I'm a little worried about.

462
00:21:08,880 --> 00:21:12,440
Speaker 3: I think higher income. Parents are pretty aware of this dynamic.

463
00:21:12,480 --> 00:21:15,240
Speaker 3: People who are a little bit more neurotic. Private schools

464
00:21:15,280 --> 00:21:18,359
Speaker 3: and others are taking charge. But I haven't yet seen it.

465
00:21:18,440 --> 00:21:20,840
Speaker 3: You know, in terms of the statistics, it does look

466
00:21:20,960 --> 00:21:24,840
Speaker 3: like it's still widespread use of iPad smartphone as well

467
00:21:24,880 --> 00:21:27,000
Speaker 3: at the lower levels end of ages. So what is

468
00:21:27,040 --> 00:21:30,160
Speaker 3: the way societally to attack this problem? Is state regulation

469
00:21:30,240 --> 00:21:32,680
Speaker 3: the only answer, as some states are currently saying saying

470
00:21:32,680 --> 00:21:35,000
Speaker 3: they're banning it statewide in all schools.

471
00:21:35,480 --> 00:21:38,320
Speaker 5: What's fun saga is that someone called this the last

472
00:21:38,359 --> 00:21:42,879
Speaker 5: bipartisan issue because parents that are conservative and parents that

473
00:21:42,920 --> 00:21:45,840
Speaker 5: are liberal are both freaked out about what these devices

474
00:21:45,880 --> 00:21:49,800
Speaker 5: are doing to our kids' brains. Thirty nine states, red

475
00:21:49,840 --> 00:21:53,040
Speaker 5: and blue have moved to get smartphones out of schools,

476
00:21:53,480 --> 00:21:55,560
Speaker 5: and I think it's going to keep going up. I mean,

477
00:21:55,720 --> 00:21:58,119
Speaker 5: you might get to all fifty and imagine that in

478
00:21:58,160 --> 00:22:01,000
Speaker 5: this day and age where you have literally a shutdown

479
00:22:01,080 --> 00:22:03,840
Speaker 5: Congress and the states are just making this happen because

480
00:22:03,880 --> 00:22:07,240
Speaker 5: so many families can see it every day. I'm a

481
00:22:07,320 --> 00:22:11,040
Speaker 5: parent and we all feel outgunned by these screens.

482
00:22:11,320 --> 00:22:12,840
Speaker 2: Andrew, I wanted to get a little bit of your

483
00:22:12,880 --> 00:22:14,840
Speaker 2: reaction to you to the discussion we were just having

484
00:22:15,040 --> 00:22:19,040
Speaker 2: on AI, because I mean, these are separate but obviously

485
00:22:19,119 --> 00:22:22,120
Speaker 2: incredibly related issues, And I just want to know your

486
00:22:22,200 --> 00:22:25,359
Speaker 2: sense of where things are heading and what the solution is,

487
00:22:25,400 --> 00:22:28,560
Speaker 2: because on the one hand, you have Amazon announcing they're

488
00:22:28,560 --> 00:22:31,359
Speaker 2: going to replace six hundred thousand workers with robots, which, hey,

489
00:22:31,520 --> 00:22:33,560
Speaker 2: is something you've been sounding the alarm about for a

490
00:22:33,560 --> 00:22:34,239
Speaker 2: few years now.

491
00:22:34,280 --> 00:22:36,920
Speaker 4: At this point. On the other hand, you see.

492
00:22:36,680 --> 00:22:38,320
Speaker 2: Some people coming out and say, you know what, AI

493
00:22:38,440 --> 00:22:40,119
Speaker 2: is not really living up to the promise. It's certainly

494
00:22:40,200 --> 00:22:43,800
Speaker 2: not living up to it's you know, financial like expectations.

495
00:22:43,880 --> 00:22:47,520
Speaker 2: At this point, these lms still really clunky, even you know,

496
00:22:47,520 --> 00:22:50,160
Speaker 2: I've played around with SOUS still has a lot of limitations.

497
00:22:50,600 --> 00:22:53,359
Speaker 2: So what do you think of this tech, where it's going,

498
00:22:53,400 --> 00:22:57,440
Speaker 2: and how we should be thinking of it as society, Crystal.

499
00:22:57,119 --> 00:22:59,800
Speaker 5: You're totally right. I was sounding the alarm back in

500
00:23:00,119 --> 00:23:03,040
Speaker 5: Iowa in twenty nineteen. Imagine standing at the truck stop

501
00:23:03,119 --> 00:23:08,560
Speaker 5: saying AI is coming back. Then folks weren't, let's say,

502
00:23:09,200 --> 00:23:10,520
Speaker 5: embracing that reality.

503
00:23:10,600 --> 00:23:13,000
Speaker 6: But now it is real. I wrote in a WEIMO

504
00:23:14,240 --> 00:23:15,320
Speaker 6: a number of.

505
00:23:15,280 --> 00:23:18,680
Speaker 5: Weeks ago, and it was a trip the first time

506
00:23:18,720 --> 00:23:20,480
Speaker 5: you get in, but then the second or third time,

507
00:23:20,480 --> 00:23:23,399
Speaker 5: and I did use in multiple times, you start to

508
00:23:23,400 --> 00:23:26,879
Speaker 5: get used to it. So the AI tools definitely have

509
00:23:27,000 --> 00:23:30,239
Speaker 5: their problems and limitations, but they're also getting better all

510
00:23:30,359 --> 00:23:33,159
Speaker 5: the time, and they are going to replace tons of

511
00:23:33,200 --> 00:23:40,439
Speaker 5: warehouse workers, customer service workers, analysts, lawyers. Unfortunately, I have

512
00:23:40,520 --> 00:23:43,440
Speaker 5: friends who are partners at law firms who say they're

513
00:23:43,480 --> 00:23:45,040
Speaker 5: going to hire fewer associates.

514
00:23:45,480 --> 00:23:46,800
Speaker 6: So both things are true.

515
00:23:47,040 --> 00:23:51,560
Speaker 5: I'd say that these tools have problems, but that they're

516
00:23:51,600 --> 00:23:54,560
Speaker 5: finding commercial applications that are going to do a number

517
00:23:54,920 --> 00:23:58,320
Speaker 5: on unfortunately millions of American workers. And when I ran

518
00:23:58,359 --> 00:24:00,520
Speaker 5: for president, I said, look, we need to start putting

519
00:24:00,560 --> 00:24:01,800
Speaker 5: money into people's hands.

520
00:24:02,040 --> 00:24:04,040
Speaker 6: I mean, it's one reason I started Noble Mobiles.

521
00:24:04,040 --> 00:24:05,800
Speaker 5: Like I can't get a thousand bucks a month into

522
00:24:05,800 --> 00:24:07,919
Speaker 5: your hands, but I can save you about a thousand

523
00:24:07,920 --> 00:24:10,359
Speaker 5: bucks a year and get you looking up more. And

524
00:24:10,400 --> 00:24:13,600
Speaker 5: that seemed like a direct approach to try and solve

525
00:24:13,640 --> 00:24:16,480
Speaker 5: this problem while I'm not president, obviously, I mean, if

526
00:24:16,480 --> 00:24:19,320
Speaker 5: I were president, then you guys would be I suppose,

527
00:24:19,359 --> 00:24:19,960
Speaker 5: I don't know what.

528
00:24:21,160 --> 00:24:22,680
Speaker 6: I don't know what. The arival.

529
00:24:23,960 --> 00:24:26,080
Speaker 5: Yeah, it was saying like, yeah, you might be Press

530
00:24:26,119 --> 00:24:29,399
Speaker 5: Secretary Crystal and then Saga you could do whatever you wanted,

531
00:24:30,240 --> 00:24:31,200
Speaker 5: but yes.

532
00:24:31,119 --> 00:24:31,880
Speaker 1: I'll take that role.

533
00:24:32,720 --> 00:24:39,320
Speaker 3: Yeah, at a minister at large under the Yang administration. Andrew,

534
00:24:39,600 --> 00:24:41,360
Speaker 3: I do think while we have you, though, we would

535
00:24:41,400 --> 00:24:44,080
Speaker 3: love to get your reaction, since you did run for

536
00:24:44,440 --> 00:24:47,680
Speaker 3: mayor of New York to the current mayoral race before

537
00:24:47,720 --> 00:24:49,639
Speaker 3: we get you to react to some of the clips.

538
00:24:49,640 --> 00:24:51,760
Speaker 1: What's your general assessment of the race here so far?

539
00:24:52,800 --> 00:24:55,840
Speaker 5: Now I see the same things you all see. Zoron

540
00:24:56,160 --> 00:24:58,720
Speaker 5: is on track to win. To me, the question really

541
00:24:58,800 --> 00:25:03,720
Speaker 5: is whether he gets a majority against both Cuomo and Sliwah,

542
00:25:03,720 --> 00:25:06,239
Speaker 5: which I think would be very helpful for him to

543
00:25:06,280 --> 00:25:09,159
Speaker 5: have a mandate to head up to Albany and say, look, guys,

544
00:25:09,480 --> 00:25:10,200
Speaker 5: I'm the new mayor.

545
00:25:10,280 --> 00:25:11,560
Speaker 6: Let's get some stuff done.

546
00:25:11,720 --> 00:25:14,480
Speaker 5: If he gets less than fifty point one percent in

547
00:25:14,520 --> 00:25:18,000
Speaker 5: the November election, then it's going to be easier for

548
00:25:18,160 --> 00:25:21,240
Speaker 5: folks to push back and say that he doesn't have

549
00:25:21,720 --> 00:25:24,800
Speaker 5: as broad support. So to me, he's going to be

550
00:25:24,840 --> 00:25:26,959
Speaker 5: the next mayor, and the question is the margin of victory.

551
00:25:27,480 --> 00:25:28,200
Speaker 4: So let's take a.

552
00:25:28,119 --> 00:25:31,120
Speaker 2: Look a little bit at They had a debate last night,

553
00:25:31,200 --> 00:25:33,560
Speaker 2: So on stage you had Zoron you had Cuomo, and

554
00:25:33,600 --> 00:25:36,560
Speaker 2: you had Saliwa as well and Zoron.

555
00:25:36,960 --> 00:25:37,840
Speaker 4: Let's start with this one.

556
00:25:37,920 --> 00:25:40,679
Speaker 2: Zoran having a good moment here knocking Cuomo for his

557
00:25:40,720 --> 00:25:42,280
Speaker 2: former leadership of the state of New York.

558
00:25:42,359 --> 00:25:43,040
Speaker 4: Let's take a listen.

559
00:25:43,560 --> 00:25:44,280
Speaker 6: Shame on you.

560
00:25:45,600 --> 00:25:49,359
Speaker 7: It is always a pleasure to hear Andrew Cuomo create

561
00:25:49,400 --> 00:25:52,880
Speaker 7: his own facts at every debate stage. We just had

562
00:25:52,920 --> 00:25:55,840
Speaker 7: a former governor say in his own words that the

563
00:25:55,880 --> 00:25:58,040
Speaker 7: city has been getting screwed by the state.

564
00:25:58,760 --> 00:26:12,080
Speaker 1: Who was leading the state it was screwing these.

565
00:26:13,480 --> 00:26:16,960
Speaker 5: Four years four years.

566
00:26:17,560 --> 00:26:18,920
Speaker 2: I mean, there's a few things to say about it.

567
00:26:18,960 --> 00:26:20,760
Speaker 2: First of all, he's just really good at this right.

568
00:26:21,160 --> 00:26:23,760
Speaker 2: Second of all, he's using the fact that this guy,

569
00:26:23,920 --> 00:26:26,920
Speaker 2: you know, had lots of experience as a weapon against him,

570
00:26:27,040 --> 00:26:28,679
Speaker 2: like the idea that, oh, you come in with all

571
00:26:28,680 --> 00:26:30,760
Speaker 2: of this pedigree and all this resume, and that's going

572
00:26:30,800 --> 00:26:32,800
Speaker 2: to set you up, which is clearly what Cuomo thought.

573
00:26:32,840 --> 00:26:34,439
Speaker 2: I mean, he thought this was a shoe and he

574
00:26:34,520 --> 00:26:36,560
Speaker 2: thought he'd barely have to show up and they would

575
00:26:36,560 --> 00:26:38,760
Speaker 2: just coordinate him as the next mayor of New York City.

576
00:26:39,359 --> 00:26:41,320
Speaker 2: That dynamic has flipped on his head. So I wonder

577
00:26:41,359 --> 00:26:43,240
Speaker 2: what you made of that. Moment and some of those

578
00:26:43,520 --> 00:26:44,200
Speaker 2: dynamics in.

579
00:26:44,119 --> 00:26:48,760
Speaker 5: General, it is fascinating, Crystal because Cuomo has sky high

580
00:26:48,800 --> 00:26:50,800
Speaker 5: name ID, but not all of it's positive. I mean,

581
00:26:50,840 --> 00:26:53,280
Speaker 5: if you look at the numbers, uh there there's a

582
00:26:53,920 --> 00:26:58,600
Speaker 5: very deep ambivalence about Cuomo's time as governor, and so

583
00:26:58,640 --> 00:27:01,359
Speaker 5: when he runs on that experience and it is something

584
00:27:01,400 --> 00:27:04,720
Speaker 5: of a double edged sword that Zoron can use against him,

585
00:27:04,720 --> 00:27:08,280
Speaker 5: as we saw on that clip. It is interesting to

586
00:27:08,320 --> 00:27:11,199
Speaker 5: me as someone who is on that particular debate stage.

587
00:27:11,200 --> 00:27:15,120
Speaker 5: I mean sometimes physically where there was a time when

588
00:27:16,119 --> 00:27:19,359
Speaker 5: you're you kind of know people are going to come

589
00:27:19,400 --> 00:27:22,520
Speaker 5: after you. You know, you know attacks are coming, and

590
00:27:22,560 --> 00:27:27,040
Speaker 5: then you literally talk to the folks on your team say, Okay,

591
00:27:27,119 --> 00:27:28,840
Speaker 5: if they come at me with this, like what am

592
00:27:28,880 --> 00:27:32,280
Speaker 5: I going to respond with? But Zoron clearly both has that,

593
00:27:32,359 --> 00:27:34,480
Speaker 5: and he also has spontaneity. I mean some of the

594
00:27:34,520 --> 00:27:36,920
Speaker 5: stuff he's coming up with in the moment.

595
00:27:37,760 --> 00:27:39,960
Speaker 3: One of the things I'm curious for your view Andrew

596
00:27:40,280 --> 00:27:43,080
Speaker 3: having run in the race is that he ran in

597
00:27:43,080 --> 00:27:47,120
Speaker 3: the Democratic primery. The Democratic primary base seems much more

598
00:27:47,160 --> 00:27:49,600
Speaker 3: open to an outsider. Then Let's say at the time

599
00:27:49,880 --> 00:27:51,760
Speaker 3: that you ran what happened. Why do you think that

600
00:27:51,760 --> 00:27:52,080
Speaker 3: that is?

601
00:27:53,119 --> 00:27:53,199
Speaker 6: No.

602
00:27:53,840 --> 00:27:56,119
Speaker 5: I think these last four years have not been kind

603
00:27:56,880 --> 00:28:00,359
Speaker 5: to establishment candidates or a sense that things are going

604
00:28:00,400 --> 00:28:04,520
Speaker 5: well and that there's a constant recipe for someone who

605
00:28:04,600 --> 00:28:07,479
Speaker 5: might represent a turning of the page. That's a stronger

606
00:28:07,600 --> 00:28:09,920
Speaker 5: argument now than it was a number of years ago.

607
00:28:10,560 --> 00:28:11,800
Speaker 6: And I will say.

608
00:28:11,600 --> 00:28:13,720
Speaker 5: I walked the streets of New York obviously I live here,

609
00:28:14,160 --> 00:28:18,399
Speaker 5: and people are very enthusiastic about Zoron, and people also

610
00:28:18,920 --> 00:28:21,439
Speaker 5: talk to me about, you know, like there seems to

611
00:28:21,440 --> 00:28:25,720
Speaker 5: be like, you know, a pro outsider sentiment in the air,

612
00:28:25,760 --> 00:28:28,280
Speaker 5: and that does not bode well for Andrew Cuomo, who

613
00:28:28,280 --> 00:28:31,879
Speaker 5: seems like the consummate insider because of his you know,

614
00:28:31,960 --> 00:28:33,320
Speaker 5: his ubiquity over the last.

615
00:28:33,160 --> 00:28:33,879
Speaker 6: Number of years.

616
00:28:34,400 --> 00:28:37,520
Speaker 2: So another issue that was significant at the debate was

617
00:28:37,560 --> 00:28:37,880
Speaker 2: how they.

618
00:28:37,840 --> 00:28:39,320
Speaker 4: Would approach Donald Trump.

619
00:28:39,400 --> 00:28:40,880
Speaker 2: And we've got a bit of a mash up here

620
00:28:40,960 --> 00:28:42,840
Speaker 2: Clomo talking about that and soor On talking about it

621
00:28:42,840 --> 00:28:46,200
Speaker 2: as well as sick Listen, Donald Trump, I believe wance

622
00:28:46,280 --> 00:28:50,280
Speaker 2: Mondamie that is his dream because he will use him

623
00:28:50,280 --> 00:28:52,800
Speaker 2: politically all across the country and he will take over

624
00:28:52,880 --> 00:28:53,640
Speaker 2: New York City.

625
00:28:54,120 --> 00:28:54,320
Speaker 6: Look.

626
00:28:54,360 --> 00:28:57,040
Speaker 7: Donald Trump ran on three promises. He ran on creating

627
00:28:57,080 --> 00:29:00,240
Speaker 7: the single largest deportation force in American history. He ran

628
00:29:00,280 --> 00:29:02,600
Speaker 7: on going after his political enemies, and he ran on

629
00:29:02,680 --> 00:29:05,040
Speaker 7: lowering the cost of living. If he wants to talk

630
00:29:05,200 --> 00:29:07,520
Speaker 7: to me about the third piece of that agenda, I

631
00:29:07,560 --> 00:29:09,640
Speaker 7: will always be ready and willing. But if he wants

632
00:29:09,680 --> 00:29:12,160
Speaker 7: to talk about how to pursue the first and second

633
00:29:12,200 --> 00:29:14,240
Speaker 7: piece of that agenda at the expense of New Yorkers,

634
00:29:14,360 --> 00:29:16,440
Speaker 7: I will fight him every single step of the way.

635
00:29:16,960 --> 00:29:20,560
Speaker 2: So, Andrew, We've already had some big Trump admin shows

636
00:29:20,560 --> 00:29:23,400
Speaker 2: of force. There's a big immigration rate on Canal Street.

637
00:29:23,400 --> 00:29:26,120
Speaker 2: Trump is threatening to pull any sort of funding that

638
00:29:26,160 --> 00:29:28,360
Speaker 2: goes to New York City if Zoron is elected mayor

639
00:29:28,360 --> 00:29:30,560
Speaker 2: of New York, which you very likely is going to be,

640
00:29:31,000 --> 00:29:32,480
Speaker 2: you know, as not only a.

641
00:29:32,360 --> 00:29:34,320
Speaker 4: Former mayor o Canab as a New Yorker.

642
00:29:34,680 --> 00:29:37,360
Speaker 2: What are some of your concerns about this, you know,

643
00:29:37,400 --> 00:29:40,360
Speaker 2: almost inevitable clash I think that's coming between Zoran and Trump.

644
00:29:40,640 --> 00:29:44,760
Speaker 5: Yeah, it's not good, Crystal, because the reality is that

645
00:29:44,800 --> 00:29:49,680
Speaker 5: there are a lot of relationships and resources that you

646
00:29:49,760 --> 00:29:53,080
Speaker 5: actually could use if you are the mayor of New

647
00:29:53,160 --> 00:29:55,880
Speaker 5: York and you don't want to be on the other

648
00:29:56,000 --> 00:29:58,440
Speaker 5: side of a battle line or with the head of

649
00:29:58,440 --> 00:30:00,920
Speaker 5: the federal government. But I think this is one of

650
00:30:00,960 --> 00:30:06,520
Speaker 5: the potential hazards of not just this era, but also

651
00:30:06,840 --> 00:30:09,640
Speaker 5: of and the truth is Andrew Cuomo is going to

652
00:30:09,640 --> 00:30:13,280
Speaker 5: present himself also as like a Trump foil or antagonist.

653
00:30:13,280 --> 00:30:15,120
Speaker 5: So I'm not sure if this is a negative case

654
00:30:15,280 --> 00:30:19,840
Speaker 5: or Zoron in particular, but the Democratic base is not

655
00:30:19,880 --> 00:30:22,200
Speaker 5: going to want you to work with Trump or his

656
00:30:22,200 --> 00:30:24,640
Speaker 5: administration in any way, shape or form. And I do

657
00:30:24,720 --> 00:30:26,760
Speaker 5: think that Trump is going to enjoy trying to stick

658
00:30:26,800 --> 00:30:29,920
Speaker 5: it to whoever the mayor is if the mayor is

659
00:30:29,960 --> 00:30:31,840
Speaker 5: not bending the knee. And obviously if you bend the

660
00:30:31,920 --> 00:30:35,760
Speaker 5: need to Trump in this city, then your political life

661
00:30:35,760 --> 00:30:38,000
Speaker 5: as a Democrat is going to be short lived.

662
00:30:38,360 --> 00:30:39,720
Speaker 1: Yeah, totally agree.

663
00:30:40,480 --> 00:30:41,720
Speaker 4: One more for you, Andrew.

664
00:30:42,040 --> 00:30:44,520
Speaker 2: Let's take a look Zoron was on with the guys

665
00:30:44,560 --> 00:30:46,840
Speaker 2: over at flagrant I had a fun moment. I don't

666
00:30:46,840 --> 00:30:48,600
Speaker 2: know if you were aware of the whole bench press

667
00:30:48,880 --> 00:30:51,720
Speaker 2: situation with Zoron looked like he what was the amount

668
00:30:51,760 --> 00:30:53,240
Speaker 2: of way that he was trying to be the bench

669
00:30:53,240 --> 00:30:55,360
Speaker 2: press on thirty five. I guess it didn't work out

670
00:30:55,440 --> 00:30:57,640
Speaker 2: all that well in any case, they were joking around

671
00:30:57,640 --> 00:30:58,360
Speaker 2: about it on the podcast.

672
00:30:58,400 --> 00:30:59,280
Speaker 4: Let's take a look at that.

673
00:30:59,360 --> 00:31:01,080
Speaker 6: Jelly, bring the bench press because he has.

674
00:31:03,400 --> 00:31:05,120
Speaker 3: Year a year.

675
00:31:05,200 --> 00:31:09,000
Speaker 7: I'm gonna do one pound more next summer one thirty six.

676
00:31:09,160 --> 00:31:14,840
Speaker 6: Let's walk that you. Let me tell you I've done it.

677
00:31:15,240 --> 00:31:17,040
Speaker 7: I knew I fucked up.

678
00:31:17,400 --> 00:31:18,440
Speaker 1: When I said.

679
00:31:20,120 --> 00:31:22,560
Speaker 6: I you think I thought I was going to kill it.

680
00:31:23,440 --> 00:31:24,760
Speaker 6: I knew it was a problem.

681
00:31:25,520 --> 00:31:26,680
Speaker 7: And this guy's like, you gotta do it.

682
00:31:28,920 --> 00:31:30,920
Speaker 6: You gotta know. It's like, I really don't.

683
00:31:31,360 --> 00:31:33,400
Speaker 3: You should have put the big ten pound weights on,

684
00:31:33,440 --> 00:31:34,400
Speaker 3: you know, the big ten.

685
00:31:37,360 --> 00:31:38,320
Speaker 7: Next year one thirty six.

686
00:31:38,640 --> 00:31:46,840
Speaker 3: Okay, watch proms is like you keep Let's you.

687
00:31:46,840 --> 00:31:48,280
Speaker 1: Didn't keep one thirty five.

688
00:31:49,720 --> 00:31:50,880
Speaker 7: To get there that from the.

689
00:31:50,920 --> 00:31:53,600
Speaker 1: End of problem thirty six, then challenge.

690
00:31:54,160 --> 00:31:55,840
Speaker 2: I mean, I think there's there's a lot to you

691
00:31:55,880 --> 00:31:59,200
Speaker 2: that's interesting about this, but I mean it's crazy to me. Andrew, like,

692
00:31:59,560 --> 00:32:01,760
Speaker 2: the dream is always to change the electorate and bring

693
00:32:01,800 --> 00:32:03,880
Speaker 2: out more young people and be able to appeal now

694
00:32:03,920 --> 00:32:06,120
Speaker 2: the conversational, how do we appeal to young men? And

695
00:32:06,200 --> 00:32:09,560
Speaker 2: here you have a candidate who does it right. He's charismatic.

696
00:32:09,720 --> 00:32:12,520
Speaker 2: He built this grassroots movement started at one percent in

697
00:32:12,560 --> 00:32:16,600
Speaker 2: the polls, skyrockets and destroys. Andrew Cuomo is able to

698
00:32:16,640 --> 00:32:18,680
Speaker 2: go on these podcasts that there's all this handling. Oh

699
00:32:18,720 --> 00:32:20,920
Speaker 2: my god, Democrats can't go on these podcasts anymore. Is

700
00:32:20,960 --> 00:32:23,520
Speaker 2: able to do it, make fun of himself, be very charming, etc.

701
00:32:24,360 --> 00:32:28,920
Speaker 2: And you still have Hakim Jeffries and Chuck Schumer and

702
00:32:29,160 --> 00:32:33,000
Speaker 2: others who refuse to endorse this man who is the

703
00:32:33,120 --> 00:32:37,480
Speaker 2: Democratic nominee. It is probably the most interesting and charismatic

704
00:32:37,520 --> 00:32:40,920
Speaker 2: figure that you have in the entire party. Like, is

705
00:32:40,960 --> 00:32:43,960
Speaker 2: this self savage? What is going on here? How is

706
00:32:44,040 --> 00:32:45,600
Speaker 2: this in any way sensible?

707
00:32:46,000 --> 00:32:46,160
Speaker 1: Huh?

708
00:32:46,640 --> 00:32:48,680
Speaker 6: I have to admit I was fascinated by the entire

709
00:32:48,680 --> 00:32:49,400
Speaker 6: bench press thing.

710
00:32:51,760 --> 00:32:54,160
Speaker 5: And I'm thirdly out of sa as a humor about it,

711
00:32:54,240 --> 00:32:58,960
Speaker 5: because when you're a candidate, people are constantly putting pressure

712
00:32:59,000 --> 00:33:01,120
Speaker 5: on you to do things, and sometimes you're just like,

713
00:33:01,200 --> 00:33:03,760
Speaker 5: oh no, I really don't want to do this. But

714
00:33:03,800 --> 00:33:07,360
Speaker 5: it's almost impossible to say I don't want to do this,

715
00:33:07,440 --> 00:33:10,800
Speaker 5: because then you seem like a dud. And so I

716
00:33:10,880 --> 00:33:13,240
Speaker 5: used to joke with my team that it's like the

717
00:33:13,960 --> 00:33:17,720
Speaker 5: presidential Olympics, where you know, you just do whatever the

718
00:33:17,760 --> 00:33:22,120
Speaker 5: event is, whether it's like corn dog eating or uh,

719
00:33:22,280 --> 00:33:23,840
Speaker 5: you know, or like feats.

720
00:33:23,480 --> 00:33:25,400
Speaker 6: Of strength or whatever the heck it is.

721
00:33:25,960 --> 00:33:28,480
Speaker 5: And so when Zarn was in that situation, I was like,

722
00:33:28,560 --> 00:33:31,800
Speaker 5: oh my god, I've been there, Like I've been in

723
00:33:31,840 --> 00:33:35,080
Speaker 5: front of that bench figuratively speaking. I mean, Heck, when

724
00:33:35,120 --> 00:33:36,800
Speaker 5: I ran for mayor, they were like I was at

725
00:33:36,800 --> 00:33:39,240
Speaker 5: a gym and then they like challenged me to do

726
00:33:39,320 --> 00:33:41,640
Speaker 5: pull ups and then you can't not do them because

727
00:33:41,680 --> 00:33:43,520
Speaker 5: you're like, oh God, like you know, I don't want

728
00:33:43,520 --> 00:33:46,600
Speaker 5: to see you, and that's the questions ire And I

729
00:33:46,680 --> 00:33:49,040
Speaker 5: was like, how many effing pull ups am I going

730
00:33:49,080 --> 00:33:49,600
Speaker 5: to be able to do?

731
00:33:49,640 --> 00:33:51,360
Speaker 6: Because I don't need to do one right now?

732
00:33:52,000 --> 00:33:54,080
Speaker 5: I don't know, and so that, but then you also

733
00:33:54,160 --> 00:33:58,440
Speaker 5: get adrenaline in you because they're filming it right. So

734
00:33:58,440 --> 00:34:03,640
Speaker 5: so I felt Doron's pain deeply. And bench benching is

735
00:34:03,680 --> 00:34:08,319
Speaker 5: something that like you either are experienced in doing or

736
00:34:08,320 --> 00:34:11,360
Speaker 5: you're not. It's like if you're like a normal person

737
00:34:11,440 --> 00:34:14,000
Speaker 5: who is not bench pressed a lot, then it's gonna

738
00:34:14,000 --> 00:34:15,680
Speaker 5: be really hard to bench press, like you know, want

739
00:34:15,719 --> 00:34:17,399
Speaker 5: thirty five And people will make like, oh want thirty five,

740
00:34:17,400 --> 00:34:20,040
Speaker 5: blah blah blah blah blah. It's like anyway, I mean, Sager,

741
00:34:20,120 --> 00:34:22,359
Speaker 5: you probably can relate to this. But it's like when

742
00:34:22,480 --> 00:34:23,919
Speaker 5: the first time you go to the gym, you can't

743
00:34:23,920 --> 00:34:27,360
Speaker 5: bench press anything, nothing, and then eventually if you do

744
00:34:27,480 --> 00:34:29,800
Speaker 5: it for a while, they're pretty much guys who benching,

745
00:34:29,840 --> 00:34:32,160
Speaker 5: guys who don't bench, and asking a guy who doesn't

746
00:34:32,160 --> 00:34:33,959
Speaker 5: bench to bench is very very.

747
00:34:33,880 --> 00:34:35,479
Speaker 6: Bad, bad look for that guy.

748
00:34:35,520 --> 00:34:37,759
Speaker 5: So I felt Zoron's pain because it's like, oh my god,

749
00:34:37,800 --> 00:34:39,719
Speaker 5: like he had no choice but to say yes and

750
00:34:39,760 --> 00:34:41,719
Speaker 5: then but I'm just thrilled that he has a sense

751
00:34:41,719 --> 00:34:43,719
Speaker 5: of humor about it and that he can joke about it.

752
00:34:43,760 --> 00:34:46,080
Speaker 6: To your point, Crystal, it's like that's what people want.

753
00:34:46,400 --> 00:34:46,600
Speaker 6: You know.

754
00:34:46,640 --> 00:34:49,880
Speaker 5: The word that gets bandied around a lot is authenticity,

755
00:34:50,320 --> 00:34:53,239
Speaker 5: and the disease is like you literally have consultants being like,

756
00:34:53,239 --> 00:34:56,719
Speaker 5: how do we get authenticity? So if you have a

757
00:34:56,760 --> 00:34:59,040
Speaker 5: candidate who has it, then you have a candidate who

758
00:34:59,040 --> 00:35:02,000
Speaker 5: has it, and and you know, to your point, that's

759
00:35:02,120 --> 00:35:03,040
Speaker 5: very very powerful.

760
00:35:03,040 --> 00:35:05,560
Speaker 4: In twenty twenty five, it's very powerful.

761
00:35:05,600 --> 00:35:09,399
Speaker 2: And it's again insane that Democratic leadership wants to stand

762
00:35:09,400 --> 00:35:12,840
Speaker 2: back this guy and refuses to endorse again the Democratic nominee.

763
00:35:13,440 --> 00:35:15,760
Speaker 2: And as I guess, you know, a low key holding

764
00:35:15,800 --> 00:35:17,800
Speaker 2: out for the guy who was accused of sexual assault

765
00:35:17,800 --> 00:35:20,360
Speaker 2: by thirteen different women and had to resign and disgrace

766
00:35:20,440 --> 00:35:22,680
Speaker 2: and killed old people in nursing homes, et cetera.

767
00:35:24,160 --> 00:35:26,640
Speaker 5: You know, I mean it is the party primary. You

768
00:35:26,680 --> 00:35:30,000
Speaker 5: guys know that I'm for opening up the primaries, but

769
00:35:30,440 --> 00:35:32,799
Speaker 5: to me, this means that they're really like flavors of

770
00:35:32,840 --> 00:35:36,120
Speaker 5: Dems in New York. And so the pitch I'd make

771
00:35:36,239 --> 00:35:38,680
Speaker 5: is like, look like that your problem is that you

772
00:35:38,719 --> 00:35:44,080
Speaker 5: probably should be different parties, is what you know. But

773
00:35:44,640 --> 00:35:48,160
Speaker 5: totally agree with the fact that, look, you know, like

774
00:35:48,280 --> 00:35:52,400
Speaker 5: that this guy is super talented and before this primary

775
00:35:52,520 --> 00:35:54,640
Speaker 5: and this season you would have been trying to dream

776
00:35:54,719 --> 00:35:55,560
Speaker 5: up someone like him.

777
00:35:55,760 --> 00:35:57,800
Speaker 1: There you go. Thank you very much, Andrew. We appreciate

778
00:35:57,840 --> 00:35:59,440
Speaker 1: your nowsismam great to see Andrew.

779
00:36:00,160 --> 00:36:03,640
Speaker 6: Seeing you guys. Let me check out Noble Mobile for

780
00:36:03,680 --> 00:36:04,120
Speaker 6: the two of you.

781
00:36:04,200 --> 00:36:05,880
Speaker 5: I don't know who you're using right now, but we

782
00:36:05,920 --> 00:36:08,839
Speaker 5: could definitely save you some money and make your.

783
00:36:08,719 --> 00:36:11,359
Speaker 1: Wi Fi on an airplane. It's game over, broke a right,

784
00:36:13,080 --> 00:36:14,800
Speaker 1: See you later, hi, guys.

785
00:36:17,840 --> 00:36:20,600
Speaker 3: Turning now to healthcare, there's been a lot on the horizon.

786
00:36:20,680 --> 00:36:24,799
Speaker 3: Let's talk about Obamacare subsidies that are expiring. That's part

787
00:36:24,840 --> 00:36:27,040
Speaker 3: of why the government is shut down right now, at

788
00:36:27,080 --> 00:36:30,359
Speaker 3: least the democratic justification. But behind the picture is not

789
00:36:30,440 --> 00:36:33,680
Speaker 3: just Obamacare. It's a genuine healthcare crisis in the US.

790
00:36:33,719 --> 00:36:35,760
Speaker 3: It's going to put us up here on the screen.

791
00:36:35,840 --> 00:36:39,400
Speaker 3: The average cost of a family health insurance plan is

792
00:36:39,480 --> 00:36:43,879
Speaker 3: now twenty seven thousand dollars. So you can watch here

793
00:36:44,040 --> 00:36:48,319
Speaker 3: that employer and worker contribution has dramatically gone up from

794
00:36:48,360 --> 00:36:51,960
Speaker 3: some ten thousand dollars back in twenty ten to twenty

795
00:36:52,000 --> 00:36:53,320
Speaker 3: seven thousand today.

796
00:36:53,360 --> 00:36:55,080
Speaker 1: In addition to an increased.

797
00:36:54,680 --> 00:36:58,719
Speaker 3: Worker contribution and employer contribution, this is hurting the businesses,

798
00:36:58,760 --> 00:37:01,560
Speaker 3: the smaller businesses and particular that have to increase the

799
00:37:01,600 --> 00:37:03,520
Speaker 3: amount that they give in, and as well as the

800
00:37:03,560 --> 00:37:06,799
Speaker 3: workers who are paying large parts of these premiums. So

801
00:37:06,840 --> 00:37:08,320
Speaker 3: let me just read here. This is from the Kaiser

802
00:37:08,320 --> 00:37:11,800
Speaker 3: Family Foundation survey. A six percent increase in healthcare just

803
00:37:11,840 --> 00:37:15,600
Speaker 3: from the year before, outpacing inflation. Builds on two prior

804
00:37:15,719 --> 00:37:18,320
Speaker 3: years of seven percent gains, so we have seven, seven

805
00:37:18,400 --> 00:37:21,279
Speaker 3: and six. The cost is rising faster than inflation, and

806
00:37:21,320 --> 00:37:23,880
Speaker 3: they say it will bite into employment and wage growth.

807
00:37:23,960 --> 00:37:27,720
Speaker 3: That's pretty obvious statement. If healthcare costs go up faster

808
00:37:27,800 --> 00:37:30,080
Speaker 3: than the economy in general. That means there's no money

809
00:37:30,160 --> 00:37:32,760
Speaker 3: left over to go to wages, which is exactly what's happening.

810
00:37:32,920 --> 00:37:35,879
Speaker 3: They are facing in some cases a fifteen percent health

811
00:37:35,880 --> 00:37:39,480
Speaker 3: insurance increased, a year over year increase. They say that

812
00:37:39,920 --> 00:37:43,840
Speaker 3: from their survey of their detailed snapshot, that the family

813
00:37:43,920 --> 00:37:47,200
Speaker 3: premium has gone up six percent, worker earnings has gone

814
00:37:47,239 --> 00:37:51,200
Speaker 3: up four overall inflation has gone up two point seven percent. Now,

815
00:37:51,320 --> 00:37:53,719
Speaker 3: the actual this is what I was talking to Matt

816
00:37:53,760 --> 00:37:58,160
Speaker 3: Stoler about this because how is this possible? And because

817
00:37:58,680 --> 00:38:02,080
Speaker 3: there's a cell here about health insurance and even with

818
00:38:02,120 --> 00:38:04,480
Speaker 3: Obamacare and all of that in the system, is that

819
00:38:04,719 --> 00:38:08,800
Speaker 3: when you consider where the costs are going, you should say, well,

820
00:38:08,920 --> 00:38:13,200
Speaker 3: it should make sense with healthcare prices, with hospitals. Now,

821
00:38:13,239 --> 00:38:15,719
Speaker 3: what I talked to Stoler about was that if you

822
00:38:15,760 --> 00:38:19,000
Speaker 3: look at drug prices, hospital prices and others, there has

823
00:38:19,080 --> 00:38:21,960
Speaker 3: not been that dramatic of an increase. So why is

824
00:38:22,000 --> 00:38:25,279
Speaker 3: it so dramatic? And what he calls it is, let

825
00:38:25,280 --> 00:38:27,520
Speaker 3: me get the exact term, because I really liked the

826
00:38:27,560 --> 00:38:28,200
Speaker 3: way that.

827
00:38:28,160 --> 00:38:31,000
Speaker 1: He phrased it. He said, it's corporate sludge.

828
00:38:31,080 --> 00:38:33,920
Speaker 3: And so for example, he talks about how private equity

829
00:38:34,200 --> 00:38:37,719
Speaker 3: and others who have taken over hospital billing departments, and

830
00:38:37,920 --> 00:38:40,560
Speaker 3: they will scrap for a one thousand dollars increase in

831
00:38:40,600 --> 00:38:43,920
Speaker 3: services because their billing fee is some ten dollars, but

832
00:38:44,000 --> 00:38:47,160
Speaker 3: at scale that's billions and billions of dollars. The one

833
00:38:47,200 --> 00:38:50,800
Speaker 3: thousand dollars in cost is passed along to you the consumer.

834
00:38:51,000 --> 00:38:53,120
Speaker 3: It's also passed along to the health insurance company just

835
00:38:53,120 --> 00:38:55,840
Speaker 3: passes it on obviously to everybody else, but it's just

836
00:38:55,880 --> 00:38:58,440
Speaker 3: so that these people can make a profit. The other

837
00:38:58,480 --> 00:39:00,200
Speaker 3: thing that they flag in there, which I thought was

838
00:39:00,239 --> 00:39:04,560
Speaker 3: fascinating is gop one drugs. So the cost of these

839
00:39:04,640 --> 00:39:08,439
Speaker 3: of semi glue tide drugs is very high. Obviously because

840
00:39:08,440 --> 00:39:11,640
Speaker 3: these are very profitable drug companies. Everybody wants them, so

841
00:39:11,719 --> 00:39:15,000
Speaker 3: health insurance is covering them or they're finding different ways

842
00:39:15,200 --> 00:39:18,840
Speaker 3: doctors and others to negotiate. Ironically, there was a theory

843
00:39:18,920 --> 00:39:21,440
Speaker 3: that all of these gop one drugs reduced the amount

844
00:39:21,640 --> 00:39:23,640
Speaker 3: of health care services in the long run because people

845
00:39:23,640 --> 00:39:25,719
Speaker 3: will be less obese, but in the immediate term it's

846
00:39:25,719 --> 00:39:29,240
Speaker 3: actually driving up the price dramatically of overall health services.

847
00:39:29,560 --> 00:39:32,040
Speaker 3: I also also as people know, I never let the

848
00:39:32,080 --> 00:39:34,440
Speaker 3: doctors off the hook here, because what they talk about

849
00:39:34,600 --> 00:39:38,239
Speaker 3: is that healthcare providers are now negotiating higher wages for

850
00:39:38,320 --> 00:39:40,960
Speaker 3: themselves through the hospitals, and the hospitals are passing that

851
00:39:41,000 --> 00:39:42,279
Speaker 3: on to the insurance.

852
00:39:42,280 --> 00:39:44,239
Speaker 1: Now, it's not the doctor's fault. I get it.

853
00:39:44,320 --> 00:39:46,359
Speaker 3: You guys one hundreds of thousand dollars in debt, it's

854
00:39:46,360 --> 00:39:50,760
Speaker 3: not necessarily on you. But that financing structure, the American

855
00:39:50,800 --> 00:39:54,360
Speaker 3: Medical Association and the Cartel of Residency, which they've created

856
00:39:54,440 --> 00:39:57,000
Speaker 3: artificial scarcity and so that they can all get paid

857
00:39:57,040 --> 00:39:59,839
Speaker 3: more to pay off their enormous debt, is also being

858
00:40:00,600 --> 00:40:02,560
Speaker 3: It's just like when you put it all together, from

859
00:40:02,600 --> 00:40:06,239
Speaker 3: the drugs to GLP one to hospital services.

860
00:40:05,960 --> 00:40:06,840
Speaker 1: This can't last.

861
00:40:06,920 --> 00:40:10,640
Speaker 3: Like, twenty seven thousand dollars is crazy. The average family

862
00:40:10,680 --> 00:40:13,319
Speaker 3: income is less than one hundred thousand dollars per year.

863
00:40:13,560 --> 00:40:16,720
Speaker 3: So after tax income, Yeah, I understand, you know, employer

864
00:40:16,760 --> 00:40:18,200
Speaker 3: contribution and all of that.

865
00:40:18,160 --> 00:40:18,560
Speaker 1: Et cetera.

866
00:40:18,760 --> 00:40:21,880
Speaker 3: But you know, it's twenty seven k worker for the

867
00:40:21,920 --> 00:40:24,799
Speaker 3: workers for a family premium in addition to a two

868
00:40:24,880 --> 00:40:28,280
Speaker 3: to three thousand dollars deductible, which is the normal amount

869
00:40:28,520 --> 00:40:31,080
Speaker 3: that people have in savings. For a rainy day, which

870
00:40:31,120 --> 00:40:33,319
Speaker 3: means you're dead, right, and then you and I are

871
00:40:33,360 --> 00:40:36,960
Speaker 3: on Obamacare. I've shared this family of three Obamacare. I

872
00:40:36,960 --> 00:40:39,200
Speaker 3: think it's like nine to ten thousand dollars per year,

873
00:40:39,239 --> 00:40:42,200
Speaker 3: about fourteen thousand, five hundred dollars deductible.

874
00:40:42,280 --> 00:40:44,640
Speaker 1: Like you're dead if you ever get hit with something

875
00:40:44,680 --> 00:40:44,840
Speaker 1: like that.

876
00:40:44,920 --> 00:40:49,080
Speaker 3: Yeah, childbirth boom, right, that one hurts in particular, and

877
00:40:49,120 --> 00:40:52,520
Speaker 3: then think about that for all of these other people

878
00:40:52,760 --> 00:40:54,360
Speaker 3: who are out there. So this is just more of

879
00:40:54,400 --> 00:40:56,600
Speaker 3: a value neutral thing of like this can't go on,

880
00:40:56,960 --> 00:40:59,920
Speaker 3: Like somebody has to do something about this, and Obamacare

881
00:40:59,920 --> 00:41:02,200
Speaker 3: is not the answer, as we are all learning, because

882
00:41:02,239 --> 00:41:06,040
Speaker 3: the healthcare subsidies that are expiring are making it dramatically

883
00:41:06,080 --> 00:41:09,000
Speaker 3: unaffordable for every person who's actually on the plant. The

884
00:41:09,040 --> 00:41:11,640
Speaker 3: only reason it worked is because they started throwing money

885
00:41:11,640 --> 00:41:14,920
Speaker 3: at the plans during COVID, But before that, the reason there.

886
00:41:14,800 --> 00:41:17,400
Speaker 1: Wasn't uptick is because it was crazy expensive.

887
00:41:17,520 --> 00:41:19,359
Speaker 3: I think what's going to happen is a vast number

888
00:41:19,400 --> 00:41:21,399
Speaker 3: of people will just go on insured, like we talked

889
00:41:21,400 --> 00:41:24,080
Speaker 3: about talking about with this Ryan, there was a couple.

890
00:41:23,800 --> 00:41:25,400
Speaker 1: Who was sixty years old. They make eighty k.

891
00:41:25,640 --> 00:41:28,240
Speaker 3: Their premiums are going to go up eighteen thousand. I'm like, yeah,

892
00:41:28,320 --> 00:41:31,000
Speaker 3: you know, if you're relatively healthy, I'm rolling the dice

893
00:41:31,080 --> 00:41:32,960
Speaker 3: till Medicare. Yeah for five year. That's not a good

894
00:41:32,960 --> 00:41:34,480
Speaker 3: place to be, right. If you get hit by a bus,

895
00:41:34,640 --> 00:41:36,359
Speaker 3: it's not going to be good. But it's twenty five

896
00:41:36,360 --> 00:41:38,840
Speaker 3: thousand dollars a year, and disaster insurance really worth it?

897
00:41:39,000 --> 00:41:39,440
Speaker 1: Not really?

898
00:41:39,560 --> 00:41:41,480
Speaker 3: Ask people in San Francisco own homes. A lot of

899
00:41:41,520 --> 00:41:44,520
Speaker 3: them don't pay for earthquake insurance for this exact exact reason.

900
00:41:44,520 --> 00:41:46,840
Speaker 3: It's crazy high. This is what happens.

901
00:41:46,880 --> 00:41:49,560
Speaker 2: It's insane, and that's a really bad outcome. I don't

902
00:41:49,560 --> 00:41:52,000
Speaker 2: know if you remember back during the Obamacare debates, but

903
00:41:52,040 --> 00:41:55,600
Speaker 2: we talked all about this like death spiral potential, and

904
00:41:56,440 --> 00:41:59,480
Speaker 2: like the scenario you're sketching out is what leads to

905
00:41:59,719 --> 00:42:02,600
Speaker 2: that death spiral. Because what happens is people who are

906
00:42:02,920 --> 00:42:06,160
Speaker 2: younger and healthier, they say like Ziger's are like, I'm

907
00:42:06,160 --> 00:42:08,200
Speaker 2: not paying for this, this doesn't make sense. And so

908
00:42:08,320 --> 00:42:12,080
Speaker 2: the younger, healthier participants get out of the pool. You're

909
00:42:12,239 --> 00:42:16,200
Speaker 2: left with more like older people with more chronic illnesses

910
00:42:16,239 --> 00:42:18,680
Speaker 2: who are much more expensive. And guess what, that means

911
00:42:19,040 --> 00:42:22,120
Speaker 2: everybody's premiums go up. And then when those premiums go up,

912
00:42:22,160 --> 00:42:24,200
Speaker 2: then the next layer of people who are like you know,

913
00:42:24,400 --> 00:42:27,759
Speaker 2: some relatively healthy and relatively young, are like, you know what,

914
00:42:27,840 --> 00:42:30,200
Speaker 2: I'm not doing this either, and then the premiums go

915
00:42:30,280 --> 00:42:34,080
Speaker 2: up again. So we are facing that sort of a

916
00:42:34,280 --> 00:42:37,479
Speaker 2: death spiral situation. And let's keep in mind like we're

917
00:42:37,480 --> 00:42:41,160
Speaker 2: covering the people who have employer they get health insurance

918
00:42:41,160 --> 00:42:44,279
Speaker 2: through their employers, like those are the lucky ones. And

919
00:42:44,400 --> 00:42:49,400
Speaker 2: still it's unaffordable and unsustainable. And so you know, I listen,

920
00:42:49,600 --> 00:42:52,239
Speaker 2: I'm long been in Medicare for all gal. Back when

921
00:42:52,280 --> 00:42:54,680
Speaker 2: the Obamacare debate was happening, I was very much pushing

922
00:42:54,719 --> 00:42:57,840
Speaker 2: for a public option. Like our healthcare system at every

923
00:42:57,960 --> 00:43:00,279
Speaker 2: level is so fucked. I mean, like you said, even

924
00:43:00,280 --> 00:43:02,239
Speaker 2: just starting from the way that doctors will share all

925
00:43:02,280 --> 00:43:04,279
Speaker 2: the expense and the debt that they have to take on.

926
00:43:04,360 --> 00:43:06,239
Speaker 2: We have a shortage of doctors too, by the way,

927
00:43:06,520 --> 00:43:08,400
Speaker 2: you know, go and try to get an appointment at

928
00:43:08,760 --> 00:43:11,440
Speaker 2: any kind of specialists or even a general practitioner, go

929
00:43:11,480 --> 00:43:13,560
Speaker 2: to the hospital and try to get care, You're going

930
00:43:13,640 --> 00:43:17,279
Speaker 2: to be facing a long line. We are all these

931
00:43:17,360 --> 00:43:19,200
Speaker 2: rural hospitals are going to be closing because of the

932
00:43:19,200 --> 00:43:22,880
Speaker 2: big beautiful bill quote unquote. You have these subsidies that

933
00:43:22,880 --> 00:43:24,799
Speaker 2: are going away that are going to make all of

934
00:43:24,840 --> 00:43:26,640
Speaker 2: this hit home very aggressively.

935
00:43:26,719 --> 00:43:27,720
Speaker 4: I was just looking at some polling.

936
00:43:27,719 --> 00:43:29,520
Speaker 2: You've got four and ten Americans who say they are

937
00:43:29,520 --> 00:43:33,279
Speaker 2: deeply concerned about being able to afford health insurance care

938
00:43:33,680 --> 00:43:37,279
Speaker 2: and the prescriptions that they need. And what happens too

939
00:43:37,320 --> 00:43:39,279
Speaker 2: when people go with how does it work? When people

940
00:43:39,360 --> 00:43:42,319
Speaker 2: go without insurance? What that means is that they don't

941
00:43:42,320 --> 00:43:45,440
Speaker 2: go to the doctor. So any conditions that come up,

942
00:43:45,680 --> 00:43:49,319
Speaker 2: they're waiting until they are, you know, in a dire circumstance,

943
00:43:49,400 --> 00:43:51,480
Speaker 2: and then they go to the emergency room and then

944
00:43:51,520 --> 00:43:53,520
Speaker 2: that is the most expensive.

945
00:43:53,040 --> 00:43:55,880
Speaker 4: Care that you could possibly get. So that's how we

946
00:43:56,000 --> 00:43:56,279
Speaker 4: end up.

947
00:43:56,320 --> 00:43:57,840
Speaker 2: That's one of the reasons why we end up with

948
00:43:57,840 --> 00:44:00,360
Speaker 2: a system where we spend more than any other country

949
00:44:00,960 --> 00:44:05,319
Speaker 2: on healthcare and we get worse results than virtually any

950
00:44:05,400 --> 00:44:09,440
Speaker 2: other developed nation because every aspect of this for profit

951
00:44:09,520 --> 00:44:15,080
Speaker 2: system is broken. So, you know, the trajectory that we

952
00:44:15,120 --> 00:44:19,920
Speaker 2: are on is fundamentally unsustainable. Someone is going to have

953
00:44:19,960 --> 00:44:22,760
Speaker 2: to actually address They're going to have to confront the insurers,

954
00:44:22,880 --> 00:44:25,839
Speaker 2: they have to confront private actory equity, they have to

955
00:44:25,880 --> 00:44:29,360
Speaker 2: confront the hospital system, like, they're going to have to

956
00:44:29,640 --> 00:44:32,680
Speaker 2: radically transform this system if we're going to get out

957
00:44:32,719 --> 00:44:33,560
Speaker 2: of this death spirral.

958
00:44:33,680 --> 00:44:34,320
Speaker 1: I totally agree.

959
00:44:34,360 --> 00:44:36,279
Speaker 3: And you know before we you don't even have to.

960
00:44:36,440 --> 00:44:38,719
Speaker 3: I know you're a medical for medicare for all persons. Yeah,

961
00:44:38,760 --> 00:44:42,760
Speaker 3: there are many countries even with universal Ish healthcare stolar

962
00:44:42,800 --> 00:44:45,960
Speaker 3: again enlightening me. In Japan, apparently they have tons of

963
00:44:46,000 --> 00:44:48,960
Speaker 3: private insurance if you want them, but the government has

964
00:44:49,080 --> 00:44:52,520
Speaker 3: a literal list. This is how much a treatment costs, right,

965
00:44:52,800 --> 00:44:54,239
Speaker 3: MRI flat rate.

966
00:44:54,400 --> 00:44:56,800
Speaker 1: You can be in Kyoto, you can be in Hokkaido,

967
00:44:56,920 --> 00:44:57,680
Speaker 1: wherever you are.

968
00:44:57,960 --> 00:45:01,040
Speaker 3: This is how much the AMUT So there's no pharmacy.

969
00:45:01,200 --> 00:45:03,960
Speaker 3: What is the PBMs and all these middle menage controls. Yeah,

970
00:45:03,960 --> 00:45:06,839
Speaker 3: there's literally price control where you're like, this is how

971
00:45:06,920 --> 00:45:07,560
Speaker 3: much it costs.

972
00:45:08,320 --> 00:45:08,879
Speaker 4: Figure it out.

973
00:45:08,920 --> 00:45:11,680
Speaker 3: I'm even willing to give you cost of living inflation,

974
00:45:11,800 --> 00:45:13,560
Speaker 3: so it can be higher in New York City than

975
00:45:13,600 --> 00:45:14,680
Speaker 3: it can be in Wichita.

976
00:45:14,800 --> 00:45:15,799
Speaker 1: I'm even fine with that.

977
00:45:15,880 --> 00:45:19,400
Speaker 3: But that right now, the price of a drug itself

978
00:45:19,480 --> 00:45:23,000
Speaker 3: is not even set. It's negotiated between the health insurance people,

979
00:45:23,080 --> 00:45:25,520
Speaker 3: the farm of people, the drug people, and that's how

980
00:45:25,560 --> 00:45:28,000
Speaker 3: people get priced out of you know, their cap on

981
00:45:28,040 --> 00:45:30,959
Speaker 3: the amount of prescription drug care. This is another reason

982
00:45:30,960 --> 00:45:33,080
Speaker 3: why I know this is long winded, but on the

983
00:45:33,120 --> 00:45:35,560
Speaker 3: Medicare point, right, this is why I'm like, I'm not

984
00:45:35,640 --> 00:45:37,520
Speaker 3: willing to sign up for any First of all, put

985
00:45:37,520 --> 00:45:40,840
Speaker 3: the cultural questions aside, like illegal immigration, trans I'm saying,

986
00:45:41,000 --> 00:45:43,400
Speaker 3: even in the current way that we are right now

987
00:45:43,600 --> 00:45:46,560
Speaker 3: about Medicare, we cannot live in the system where we

988
00:45:46,640 --> 00:45:50,080
Speaker 3: allow these people to builk the federal government. So for example,

989
00:45:50,239 --> 00:45:54,680
Speaker 3: I've talked about dialysis. One percent of all US federal

990
00:45:54,719 --> 00:45:56,480
Speaker 3: spending is dialysis.

991
00:45:56,760 --> 00:45:59,000
Speaker 1: That people do not understand.

992
00:45:59,280 --> 00:46:03,960
Speaker 3: Hundreds of billions of dollars spent on dialysis and end

993
00:46:04,040 --> 00:46:08,400
Speaker 3: stage renal disease. That is astronomical. It is a huge

994
00:46:08,440 --> 00:46:11,200
Speaker 3: percentage of all Medicare spending. Now, a big part of

995
00:46:11,239 --> 00:46:13,600
Speaker 3: that is people are fat. Another part of that is

996
00:46:13,600 --> 00:46:15,279
Speaker 3: that a lot of people are poor because a lot

997
00:46:15,320 --> 00:46:17,440
Speaker 3: of people are also irresponsible. They don't take their insulin

998
00:46:17,480 --> 00:46:19,279
Speaker 3: for some reason, but at the end of the day,

999
00:46:19,400 --> 00:46:22,239
Speaker 3: we end up paying for it. There's also cardiac what

1000
00:46:22,360 --> 00:46:25,680
Speaker 3: is it failure like heart failure alone. One of the

1001
00:46:25,719 --> 00:46:29,120
Speaker 3: most expensive phases of health care could be you know,

1002
00:46:29,320 --> 00:46:32,920
Speaker 3: deal dealt with through could be dealt with through preventive care,

1003
00:46:32,960 --> 00:46:35,360
Speaker 3: which obviously I support, but at the very least, like

1004
00:46:35,400 --> 00:46:37,160
Speaker 3: why does nobody come in you know, this is the

1005
00:46:37,160 --> 00:46:39,960
Speaker 3: whole point about Medicare negotiating prices and like, yo, if

1006
00:46:39,960 --> 00:46:42,840
Speaker 3: we're going to pay one percent of dialysis spending, like

1007
00:46:42,840 --> 00:46:45,080
Speaker 3: we're setting some prices here if that's going to be

1008
00:46:45,360 --> 00:46:47,680
Speaker 3: one percent of the US federal but that's more than

1009
00:46:47,680 --> 00:46:49,840
Speaker 3: we spend on like the national weathersone stuff that you

1010
00:46:49,840 --> 00:46:52,040
Speaker 3: know does a lot of things. They're actually good for

1011
00:46:52,120 --> 00:46:54,239
Speaker 3: the country, right, So that's why I'm like, I mean

1012
00:46:54,480 --> 00:46:57,480
Speaker 3: the cartels, they need to be broken to the ground.

1013
00:46:57,560 --> 00:47:00,840
Speaker 2: Yes, like support support that comment. I will say Medicare

1014
00:47:00,880 --> 00:47:03,719
Speaker 2: and Medicaid do negotiate on the price of care. They

1015
00:47:03,760 --> 00:47:06,440
Speaker 2: do not negotiate by large, on the drugs, which is

1016
00:47:06,480 --> 00:47:09,759
Speaker 2: outrageous and Biden they pass like okay, we have a

1017
00:47:09,760 --> 00:47:11,600
Speaker 2: list of ten drugs, where now going to negotiate on

1018
00:47:12,080 --> 00:47:14,880
Speaker 2: which is so characteristic of them, Like we'll make some progress,

1019
00:47:15,000 --> 00:47:18,239
Speaker 2: but not nearly, you know, do what is required. But yes,

1020
00:47:18,800 --> 00:47:20,880
Speaker 2: that's one of that would be one of the benefits

1021
00:47:20,920 --> 00:47:23,000
Speaker 2: of moving to a Medicare for all system. And I

1022
00:47:23,040 --> 00:47:26,480
Speaker 2: don't have like a total philosophical objection to having the

1023
00:47:26,520 --> 00:47:28,160
Speaker 2: ability to, you know, if you don't want to be

1024
00:47:28,160 --> 00:47:30,440
Speaker 2: on Medicare, to purchase a private plan or whatever for

1025
00:47:30,520 --> 00:47:32,640
Speaker 2: wealthy people want to do that. You just want to

1026
00:47:32,640 --> 00:47:35,080
Speaker 2: make sure that the pool is large enough so that

1027
00:47:35,160 --> 00:47:38,440
Speaker 2: the government can benefit from having healthier people in the pool,

1028
00:47:38,600 --> 00:47:40,840
Speaker 2: so you can benefit from those economies. And also the

1029
00:47:41,080 --> 00:47:44,400
Speaker 2: exactly what you're saying, if you have a large Medicare pool,

1030
00:47:44,640 --> 00:47:46,600
Speaker 2: it makes it so you have so much more pricing

1031
00:47:46,640 --> 00:47:50,720
Speaker 2: control and power in terms of controlling costs at every

1032
00:47:50,719 --> 00:47:54,440
Speaker 2: single level. So but yeah, it's I don't know. It's

1033
00:47:54,480 --> 00:47:57,440
Speaker 2: funny because this, you know, healthcare was really back burner

1034
00:47:57,520 --> 00:48:00,319
Speaker 2: during the last presidential election, and nobody will remember Trump

1035
00:48:00,360 --> 00:48:02,000
Speaker 2: got asked about he said he had a concept of

1036
00:48:02,000 --> 00:48:02,319
Speaker 2: a plan.

1037
00:48:02,440 --> 00:48:03,280
Speaker 1: We have great healthcare.

1038
00:48:03,360 --> 00:48:04,279
Speaker 4: Yeah, and I think, I.

1039
00:48:04,200 --> 00:48:07,040
Speaker 2: Don't know, I guess it's I guess it's because there

1040
00:48:07,040 --> 00:48:09,239
Speaker 2: were so many other things going on. Kamala Harrison really

1041
00:48:09,280 --> 00:48:12,080
Speaker 2: make it a focus or an issue because she kind

1042
00:48:12,080 --> 00:48:14,080
Speaker 2: of was left in no man's land. You guys will

1043
00:48:14,120 --> 00:48:16,239
Speaker 2: recall in twenty twenty when she thought it was the

1044
00:48:16,239 --> 00:48:18,120
Speaker 2: thing to do, she signed on as a co sponsor

1045
00:48:18,160 --> 00:48:19,520
Speaker 2: to Bernie's Medicare for All.

1046
00:48:19,760 --> 00:48:20,520
Speaker 4: Then when she got.

1047
00:48:20,360 --> 00:48:23,000
Speaker 2: Pushed back from rich donors, then she ran away from that.

1048
00:48:23,280 --> 00:48:26,080
Speaker 2: It became a real weakness for her in terms of

1049
00:48:26,120 --> 00:48:29,640
Speaker 2: the Democratic primary. You have a Biden administration that didn't

1050
00:48:30,000 --> 00:48:32,520
Speaker 2: he ran on a public option. Of course, they didn't

1051
00:48:32,520 --> 00:48:34,640
Speaker 2: even try, Like as soon as he got the nomination,

1052
00:48:34,800 --> 00:48:35,680
Speaker 2: he just stopped.

1053
00:48:35,400 --> 00:48:36,760
Speaker 4: Talking about healthcare altogether.

1054
00:48:36,800 --> 00:48:39,279
Speaker 2: It was clear he never cared about doing anything with

1055
00:48:39,360 --> 00:48:42,000
Speaker 2: regard to, you know, any sort of significant transformation of

1056
00:48:42,040 --> 00:48:45,600
Speaker 2: the system. So she really didn't raise it as an issue,

1057
00:48:45,719 --> 00:48:48,400
Speaker 2: and it just went unresolved. And now you can see

1058
00:48:48,520 --> 00:48:52,160
Speaker 2: what an incredible mess it is and how something dramatic

1059
00:48:52,400 --> 00:48:54,279
Speaker 2: does have to be done here at some point.

1060
00:48:54,320 --> 00:48:55,080
Speaker 1: Yeah, well I hope.

1061
00:48:55,080 --> 00:48:56,879
Speaker 3: So I don't know, because everyone says that every year,

1062
00:48:56,920 --> 00:48:59,080
Speaker 3: and you know, there's content things will just get.

1063
00:48:59,000 --> 00:49:01,239
Speaker 2: You know, get worse, become just like a luxury for

1064
00:49:01,320 --> 00:49:01,919
Speaker 2: the ultra wretch.

1065
00:49:02,160 --> 00:49:05,120
Speaker 3: Well, let's stick with that, because I can't tell you

1066
00:49:05,280 --> 00:49:07,160
Speaker 3: how much this bothered me. Let's go and put this

1067
00:49:07,239 --> 00:49:08,719
Speaker 3: up here on the screen. And this is, by the way,

1068
00:49:08,719 --> 00:49:10,239
Speaker 3: if you're a Democrat. This is why you should be mad.

1069
00:49:10,480 --> 00:49:14,600
Speaker 3: So Amy Klobachar put out her example of rising Obamacare premiums.

1070
00:49:14,600 --> 00:49:18,600
Speaker 3: She says, early retirees like Bill and Shelley will see

1071
00:49:18,600 --> 00:49:22,399
Speaker 3: their health insurance premiums increase nearly three hundred percent from

1072
00:49:22,440 --> 00:49:25,160
Speaker 3: four hundred and forty two dollars to seventeen hundred dollars

1073
00:49:25,200 --> 00:49:28,640
Speaker 3: per month if Congress refuses to extend the exhanced tax credits.

1074
00:49:28,719 --> 00:49:32,160
Speaker 3: That's an extra fifteen K year families cannot afford. Put

1075
00:49:32,160 --> 00:49:34,680
Speaker 3: the article up because this is why it's so perfect.

1076
00:49:34,719 --> 00:49:38,440
Speaker 3: Could you not find literally anybody else than two early

1077
00:49:38,560 --> 00:49:42,319
Speaker 3: retirees who are those are gen xers in their fifties

1078
00:49:42,560 --> 00:49:48,279
Speaker 3: who apparently are early retired earning a six figure pension income. Now,

1079
00:49:48,400 --> 00:49:50,960
Speaker 3: I want to be clear, I don't begrudge anybody for

1080
00:49:51,080 --> 00:49:55,400
Speaker 3: early retirement, but you're not exactly a sympathetic test case

1081
00:49:55,640 --> 00:49:58,880
Speaker 3: for why we should be paying more in ACA premium.

1082
00:49:58,960 --> 00:50:01,200
Speaker 3: So this is the current messaging I saw by the

1083
00:50:01,200 --> 00:50:03,640
Speaker 3: same thing actually from Jeff Merkley, where they find some

1084
00:50:03,760 --> 00:50:06,400
Speaker 3: boomers who are like right on the edge around Medicare

1085
00:50:06,400 --> 00:50:08,360
Speaker 3: and they're like, oh, these poor people are going to

1086
00:50:08,440 --> 00:50:10,239
Speaker 3: have to pay more for healthcare. I'm like, yeah, you know,

1087
00:50:10,320 --> 00:50:12,840
Speaker 3: get a fucking job, like at a certain like, I'm sorry,

1088
00:50:12,840 --> 00:50:15,879
Speaker 3: I don't feel sorry for you whenever that family health

1089
00:50:15,880 --> 00:50:19,040
Speaker 3: insurance premium is going up to some twenty seven thousand

1090
00:50:19,040 --> 00:50:20,200
Speaker 3: dollars per year.

1091
00:50:20,600 --> 00:50:23,080
Speaker 1: And actually the least sympathetic people in.

1092
00:50:23,040 --> 00:50:26,200
Speaker 3: The world are early retirees who presumably, if you're willing

1093
00:50:26,200 --> 00:50:27,600
Speaker 3: to retire at some fifty years old, you have one

1094
00:50:27,680 --> 00:50:29,960
Speaker 3: hundred and thirty thousand dollars a year pension income, you're

1095
00:50:29,960 --> 00:50:32,839
Speaker 3: sitting on some serious assets, not only your homes and

1096
00:50:32,880 --> 00:50:35,360
Speaker 3: your stocks. This is the issue that I find with

1097
00:50:35,400 --> 00:50:37,640
Speaker 3: a lot of the current messaging is that they have

1098
00:50:37,760 --> 00:50:42,040
Speaker 3: found like these least sympathetic test cases of elderly folks

1099
00:50:42,200 --> 00:50:44,759
Speaker 3: when even people who are not on Obamacare, let's say

1100
00:50:44,800 --> 00:50:46,759
Speaker 3: the average family of four making one hundred and ten

1101
00:50:46,800 --> 00:50:50,600
Speaker 3: thousand less than the pension income of these early retirees,

1102
00:50:50,719 --> 00:50:53,160
Speaker 3: their premium is up twenty is some twenty seven thousand

1103
00:50:53,160 --> 00:50:56,239
Speaker 3: dollars for a family. So that's just my personal thing, Like,

1104
00:50:56,320 --> 00:50:58,480
Speaker 3: and she was getting dunked on quite a bit for this,

1105
00:50:58,600 --> 00:51:01,440
Speaker 3: but like, I'm sorry, I don't want to hear about

1106
00:51:01,440 --> 00:51:05,080
Speaker 3: the plight of the early retired middle class opera middle

1107
00:51:05,080 --> 00:51:08,360
Speaker 3: class rich Like that is not the sympathetic test case

1108
00:51:08,560 --> 00:51:09,560
Speaker 3: for who we should.

1109
00:51:09,280 --> 00:51:09,960
Speaker 1: Be thinking about.

1110
00:51:10,200 --> 00:51:13,080
Speaker 2: Fair could have chosen a better example. You believe it,

1111
00:51:13,200 --> 00:51:17,000
Speaker 2: and this is but like what you're describing is actually

1112
00:51:17,400 --> 00:51:19,759
Speaker 2: not to go to like deeper PHILSOPVL or overthink it

1113
00:51:19,800 --> 00:51:22,480
Speaker 2: or whatever. But this is actually the core problem with neoliberalism.

1114
00:51:22,719 --> 00:51:27,759
Speaker 2: It's like, when you have this this piecemeal system where

1115
00:51:27,760 --> 00:51:30,120
Speaker 2: some people benefit and some people don't benefit and it's

1116
00:51:30,280 --> 00:51:33,200
Speaker 2: not universal, then yeah, you could create a lot of

1117
00:51:33,200 --> 00:51:36,399
Speaker 2: resentment against Bill and Shelley who retired early and want

1118
00:51:36,440 --> 00:51:38,880
Speaker 2: to be able to travel more and are about to

1119
00:51:38,880 --> 00:51:41,520
Speaker 2: get hit very hard with high premiums and their lifestyle

1120
00:51:41,600 --> 00:51:42,880
Speaker 2: is going to be curtailed.

1121
00:51:43,120 --> 00:51:44,360
Speaker 4: People are like, well, fuck.

1122
00:51:44,160 --> 00:51:46,680
Speaker 2: Them, I don't want to have to subsidize their lifestyle.

1123
00:51:47,360 --> 00:51:50,400
Speaker 2: The idea of a universal program, and why social security

1124
00:51:50,440 --> 00:51:53,040
Speaker 2: is so popular, why Medicare is so popular, is because

1125
00:51:53,520 --> 00:51:57,560
Speaker 2: everyone by and large benefits. Everyone feels like they pay in,

1126
00:51:57,760 --> 00:52:00,400
Speaker 2: everyone feels like they benefit, and so it doesn't create

1127
00:52:00,480 --> 00:52:03,520
Speaker 2: these like weird resentments which allow people to you know,

1128
00:52:03,600 --> 00:52:06,680
Speaker 2: divide and conquer, because that then gets used to say,

1129
00:52:06,719 --> 00:52:09,440
Speaker 2: well then we shouldn't we shouldn't extend the subsidence for everyone. Well,

1130
00:52:09,480 --> 00:52:11,520
Speaker 2: you're mostly going to be not hurting Bill and Shelly,

1131
00:52:11,520 --> 00:52:13,680
Speaker 2: They're actually going to be Okay, You're mostly going to

1132
00:52:13,719 --> 00:52:15,759
Speaker 2: be hurting a lot of other people who are just

1133
00:52:15,800 --> 00:52:17,600
Speaker 2: going to be kicked off of health insurance because they

1134
00:52:17,640 --> 00:52:19,360
Speaker 2: cannot afford it, who are going to end up with

1135
00:52:19,400 --> 00:52:22,919
Speaker 2: some catastrophic situation in the emergency room. And by the way,

1136
00:52:23,040 --> 00:52:25,719
Speaker 2: it's pennywise, I'm howm foolish, because we're gonna end up

1137
00:52:25,719 --> 00:52:27,200
Speaker 2: paying at the end of the day just for care

1138
00:52:27,280 --> 00:52:29,520
Speaker 2: that's wildly more expensive than it would be if they

1139
00:52:29,520 --> 00:52:30,160
Speaker 2: had just been in.

1140
00:52:30,160 --> 00:52:31,400
Speaker 4: The insurance system.

1141
00:52:31,600 --> 00:52:34,640
Speaker 2: So that's why we need to support universal programs and

1142
00:52:34,760 --> 00:52:38,560
Speaker 2: not this like piecemeal nonsense of like you know, Obamacare

1143
00:52:38,600 --> 00:52:40,759
Speaker 2: is a good example of like a neoliberal solution, which,

1144
00:52:40,800 --> 00:52:44,319
Speaker 2: by the way, Obamacare, which is a disaster, is still

1145
00:52:44,360 --> 00:52:47,320
Speaker 2: better than what we had before, you know, in key ways,

1146
00:52:47,520 --> 00:52:51,000
Speaker 2: it is significantly better than what we had before, but

1147
00:52:51,840 --> 00:52:55,719
Speaker 2: it's still wildly insufficient and still creates, you know, these

1148
00:52:55,800 --> 00:52:58,440
Speaker 2: insane incentives and at bottom is a for profit system

1149
00:52:58,480 --> 00:52:59,480
Speaker 2: that is completely changing.

1150
00:52:59,640 --> 00:53:01,680
Speaker 1: When people say that, what they mean is in the aggregate.

1151
00:53:01,719 --> 00:53:04,640
Speaker 3: So yeah, it's better that more people are insured, but

1152
00:53:05,160 --> 00:53:07,880
Speaker 3: then everybody else's prices are higher, and that's the issue,

1153
00:53:08,000 --> 00:53:10,200
Speaker 3: you know, broadly why people get mad. I take your

1154
00:53:10,239 --> 00:53:14,319
Speaker 3: point about universalism, but having seen how politics progresses, Bill

1155
00:53:14,360 --> 00:53:16,960
Speaker 3: and Shelley get everything they want. Okay, Bill and Shelley

1156
00:53:17,000 --> 00:53:19,360
Speaker 3: are getting their property to their governor of the state

1157
00:53:19,440 --> 00:53:23,000
Speaker 3: of Florida is comparing property tax to buying a television

1158
00:53:23,040 --> 00:53:25,359
Speaker 3: and renting it from Best Buy. That is the level

1159
00:53:25,400 --> 00:53:28,120
Speaker 3: of intellectual analysis that we have on their behalf. They

1160
00:53:28,160 --> 00:53:30,800
Speaker 3: get tax breaks in every state in the country, and

1161
00:53:30,960 --> 00:53:33,560
Speaker 3: all their Social Security now they literally get Social Security

1162
00:53:33,600 --> 00:53:36,160
Speaker 3: tax free, which is crazy. So it's like, you get

1163
00:53:36,200 --> 00:53:38,640
Speaker 3: tax free social Security, get free health care from the

1164
00:53:38,640 --> 00:53:41,840
Speaker 3: government when they eventually become sixty four bottoms of the

1165
00:53:42,040 --> 00:53:45,239
Speaker 3: limited pocket are unlimited pockets when it comes to dialysis,

1166
00:53:45,560 --> 00:53:48,200
Speaker 3: end of life care, cardiac health insurance. If you are

1167
00:53:48,239 --> 00:53:50,640
Speaker 3: a family of four with two children, you're paying twenty

1168
00:53:50,680 --> 00:53:53,239
Speaker 3: seven thousand dollars. In theory, would be nice if we

1169
00:53:53,239 --> 00:53:56,040
Speaker 3: had some sort of universal coverage, But in practicality, what

1170
00:53:56,120 --> 00:53:59,400
Speaker 3: it always comes back to is Bill and Shelley and Chilly.

1171
00:53:59,440 --> 00:54:03,080
Speaker 2: Are you arguing then that the SUBSTA shouldn't be extended, Like,

1172
00:54:03,080 --> 00:54:04,880
Speaker 2: what are you actually art, what's the point you're making.

1173
00:54:04,800 --> 00:54:07,120
Speaker 3: To be honest in the interim from the data that

1174
00:54:07,160 --> 00:54:09,640
Speaker 3: I have seen, while there are families that will benefit

1175
00:54:09,680 --> 00:54:12,840
Speaker 3: from it, a huge portion of the benefit pool actually

1176
00:54:12,880 --> 00:54:16,440
Speaker 3: are boomers, Like they're boomer retirees, people exactly like this,

1177
00:54:16,760 --> 00:54:20,000
Speaker 3: and I do really philosophically, I'm like, man, I don't

1178
00:54:20,040 --> 00:54:21,040
Speaker 3: want to be subsidizing it.

1179
00:54:21,160 --> 00:54:22,200
Speaker 1: I'm thinking about it.

1180
00:54:22,480 --> 00:54:25,439
Speaker 2: You're talking about fifteen million people who will lose their.

1181
00:54:25,360 --> 00:54:27,480
Speaker 1: Heart, but that's in the aggregate, so that that's what's

1182
00:54:27,480 --> 00:54:28,200
Speaker 1: going to aggregate.

1183
00:54:28,239 --> 00:54:29,960
Speaker 3: But I look at the data for a lot of

1184
00:54:29,960 --> 00:54:33,600
Speaker 3: these early retiree types who, to be honest, again, probably

1185
00:54:33,640 --> 00:54:36,799
Speaker 3: paid off health care, probably paid off house, probably have

1186
00:54:37,120 --> 00:54:40,440
Speaker 3: decent number of stock portfolio. Yeah, it's hard to stop

1187
00:54:40,840 --> 00:54:44,040
Speaker 3: whenever they're when people who are families, but twenty seven

1188
00:54:44,280 --> 00:54:45,640
Speaker 3: thirty thousand dollars in healthcare.

1189
00:54:45,680 --> 00:54:49,440
Speaker 2: But again the fact that like, like, it's all a mess, right,

1190
00:54:49,680 --> 00:54:51,680
Speaker 2: so you just want them to suffer more so that

1191
00:54:51,719 --> 00:54:52,640
Speaker 2: we all suffer.

1192
00:54:52,440 --> 00:54:54,640
Speaker 1: Like, well, I think that should have to make the thing.

1193
00:54:54,480 --> 00:54:58,279
Speaker 2: We're ignoring too though, is let's say that you know

1194
00:54:58,320 --> 00:55:01,920
Speaker 2: the fifteen million that that cannot afford health insurance because

1195
00:55:01,960 --> 00:55:04,560
Speaker 2: the premiums hike. And it's not just boomers that, it's

1196
00:55:04,640 --> 00:55:07,040
Speaker 2: not just you know, people who are not particularly sympathetic.

1197
00:55:07,040 --> 00:55:08,880
Speaker 2: You're talking about families, You're talking about small this is

1198
00:55:08,920 --> 00:55:10,799
Speaker 2: what you're talking about a lot of people right talking

1199
00:55:10,800 --> 00:55:14,480
Speaker 2: about you and your family. You know, those people get

1200
00:55:14,480 --> 00:55:16,879
Speaker 2: out of the system. Prices are going to go up

1201
00:55:16,920 --> 00:55:20,720
Speaker 2: for everyone, for everyone, including the people you find sympathetic,

1202
00:55:20,760 --> 00:55:23,800
Speaker 2: And like I said, you're not saving money because ultimately

1203
00:55:23,840 --> 00:55:25,399
Speaker 2: they're going to end up in the emergency room. You're

1204
00:55:25,400 --> 00:55:29,279
Speaker 2: receiving the most expensive care. So that's what I'm saying,

1205
00:55:29,360 --> 00:55:32,839
Speaker 2: is like they picked a poor example. Sure, but this

1206
00:55:32,920 --> 00:55:35,600
Speaker 2: is a problem that has to be dealt with and

1207
00:55:35,800 --> 00:55:37,640
Speaker 2: in the interim the best thing we can do at

1208
00:55:37,640 --> 00:55:40,279
Speaker 2: the moment is extend the subsidies so that we don't

1209
00:55:40,280 --> 00:55:43,360
Speaker 2: have this, you know, mass sort of casualty event.

1210
00:55:44,080 --> 00:55:45,560
Speaker 4: And it doesn't look like that's happening.

1211
00:55:45,600 --> 00:55:47,319
Speaker 2: It looks like the premiums are going to go up

1212
00:55:47,360 --> 00:55:49,560
Speaker 2: in an astronomical way. I think it's going to be

1213
00:55:50,400 --> 00:55:52,759
Speaker 2: Democrats are betting that it's going to be politically disastrous

1214
00:55:52,800 --> 00:55:54,880
Speaker 2: for Republicans. It may be, I don't know, I don't know.

1215
00:55:54,920 --> 00:55:58,279
Speaker 2: How politics works anymore. We'll see, but you know, there's

1216
00:55:58,400 --> 00:56:00,840
Speaker 2: there's no doubt that it's going to create pain, like

1217
00:56:01,000 --> 00:56:03,840
Speaker 2: across the board, not just for the people that you like,

1218
00:56:04,160 --> 00:56:05,160
Speaker 2: hate and have contempt for.

1219
00:56:05,360 --> 00:56:08,600
Speaker 1: Yeah, it's not that I have contempt, it's that they owe. Well, okay,

1220
00:56:08,640 --> 00:56:10,520
Speaker 1: maybe I do. Yeah, I mean, I.

1221
00:56:10,480 --> 00:56:13,680
Speaker 3: Just I continue to watch people who I know who

1222
00:56:13,680 --> 00:56:17,440
Speaker 3: are my age, unaffordable health care, unaffordable housing, and then

1223
00:56:17,480 --> 00:56:19,719
Speaker 3: I see these people take to the cnbcs and the

1224
00:56:19,840 --> 00:56:22,680
Speaker 3: MSNBC's of the world, lobbying for no property tax, lobbying

1225
00:56:22,719 --> 00:56:25,440
Speaker 3: for more free health care, lobbying for free dialysis, And

1226
00:56:25,480 --> 00:56:27,680
Speaker 3: I'm like, man, this is making me angry because they

1227
00:56:27,760 --> 00:56:29,759
Speaker 3: get every single thing that they want, and a lot

1228
00:56:29,800 --> 00:56:31,880
Speaker 3: of the people I see struggling don't really get it.

1229
00:56:31,880 --> 00:56:33,880
Speaker 3: And it just seems that the system is designed for

1230
00:56:33,960 --> 00:56:34,919
Speaker 3: the people who are old.

1231
00:56:34,960 --> 00:56:36,759
Speaker 1: I would also, and it just makes me mad.

1232
00:56:36,800 --> 00:56:42,719
Speaker 2: I would also say, though, that the precariousness is creeping

1233
00:56:43,560 --> 00:56:46,640
Speaker 2: up and up, like with education being so with healthcare

1234
00:56:46,640 --> 00:56:49,480
Speaker 2: being so expensive, with housing being so expensive. You're right,

1235
00:56:49,680 --> 00:56:52,240
Speaker 2: boomers who were able to establish themselves in their career

1236
00:56:52,280 --> 00:56:53,640
Speaker 2: go to college at the time when it was wildly

1237
00:56:53,719 --> 00:56:56,000
Speaker 2: less expensive and get a house when it was much

1238
00:56:56,080 --> 00:56:58,839
Speaker 2: less expensive, Like they are doing better than younger generations.

1239
00:56:59,280 --> 00:57:02,279
Speaker 2: But that for caarity, with the cost of food, with

1240
00:57:02,360 --> 00:57:05,960
Speaker 2: the cost of energy going up, that is really creeping up,

1241
00:57:06,000 --> 00:57:08,800
Speaker 2: not just ages, but in terms of also income levels,

1242
00:57:09,360 --> 00:57:11,720
Speaker 2: you know, and so you have more and more people

1243
00:57:12,040 --> 00:57:13,759
Speaker 2: who you would look at their income and be like, oh,

1244
00:57:13,800 --> 00:57:17,000
Speaker 2: they should be fine, who are struggling because the cost

1245
00:57:17,000 --> 00:57:19,480
Speaker 2: of everything that Now, are they the most sympathetic case. No,

1246
00:57:19,920 --> 00:57:21,919
Speaker 2: But in a lot of ways they're not in such

1247
00:57:21,920 --> 00:57:24,360
Speaker 2: a different boat than you know, a lot of people

1248
00:57:24,400 --> 00:57:26,919
Speaker 2: that you know, people would find to be more compelling. Again,

1249
00:57:26,960 --> 00:57:29,200
Speaker 2: which is why I think we need universal programs so

1250
00:57:29,320 --> 00:57:32,959
Speaker 2: that you don't have the ability to pit different more

1251
00:57:33,040 --> 00:57:36,520
Speaker 2: or less sympathetic groups against each other in order to

1252
00:57:36,520 --> 00:57:39,880
Speaker 2: block any sort of a beneficial solution for everyone.

1253
00:57:39,960 --> 00:57:42,000
Speaker 4: Because if the subsidies go.

1254
00:57:42,080 --> 00:57:45,840
Speaker 2: Away, it's going to be bad for almost everyone. The

1255
00:57:45,920 --> 00:57:48,080
Speaker 2: ultra which of course they're going to be completely fine,

1256
00:57:48,560 --> 00:57:52,400
Speaker 2: but for people across the income spectrum, it's going to

1257
00:57:52,440 --> 00:57:55,560
Speaker 2: be a real problem for them, and you know, another

1258
00:57:55,640 --> 00:57:57,240
Speaker 2: big blow to our healthcare system.

1259
00:57:57,280 --> 00:57:58,640
Speaker 1: I don't dispute it. You're right, it's going to be

1260
00:57:58,680 --> 00:58:00,120
Speaker 1: bad for the healthcare system.

1261
00:58:00,120 --> 00:58:03,160
Speaker 3: I just I'm more thinking broadly, Like to be honest,

1262
00:58:03,240 --> 00:58:05,040
Speaker 3: I think that these people should have to pay the most.

1263
00:58:05,080 --> 00:58:08,080
Speaker 3: I think that if early retirees, people who are in

1264
00:58:08,080 --> 00:58:10,200
Speaker 3: the sixties and all, they should pay more than people

1265
00:58:10,200 --> 00:58:13,080
Speaker 3: who are families. I think that though, especially if you

1266
00:58:13,160 --> 00:58:15,160
Speaker 3: are already have your kids out of the house, paid

1267
00:58:15,160 --> 00:58:18,320
Speaker 3: off out and the casualty or whatever is coming from

1268
00:58:18,400 --> 00:58:19,400
Speaker 3: your ability to travel.

1269
00:58:19,440 --> 00:58:21,840
Speaker 1: I'm like, ohoo, man, I do not want to hear that.

1270
00:58:22,040 --> 00:58:23,920
Speaker 3: When I could see people who are twenty five, twenty

1271
00:58:23,960 --> 00:58:27,080
Speaker 3: eight can't buy a house, not able to afford anything.

1272
00:58:27,120 --> 00:58:29,760
Speaker 3: I'm like, somebody eventually does have to pay for something.

1273
00:58:29,800 --> 00:58:32,280
Speaker 3: It can't all just be kumbaya where they're okay, and

1274
00:58:32,360 --> 00:58:34,120
Speaker 3: you know, these people down at the bottom are all

1275
00:58:34,280 --> 00:58:37,200
Speaker 3: supposedly exactly the same at the end of the day. Like,

1276
00:58:37,240 --> 00:58:39,400
Speaker 3: if we want to talk about who the subsidies should

1277
00:58:39,400 --> 00:58:42,160
Speaker 3: come from, right now, it's bottom up quite literally from

1278
00:58:42,160 --> 00:58:44,120
Speaker 3: a generational level, and I think it should be ful

1279
00:58:44,280 --> 00:58:46,560
Speaker 3: howly against it.

1280
00:58:46,680 --> 00:58:48,880
Speaker 2: How About we reverse all of the tax cuts to

1281
00:58:48,960 --> 00:58:51,320
Speaker 2: the ridge from the one big beautiful bill and we

1282
00:58:51,440 --> 00:58:53,760
Speaker 2: use it to pay for healthcare subsidies so that everybody

1283
00:58:53,800 --> 00:58:54,160
Speaker 2: can work.

1284
00:58:54,160 --> 00:58:56,440
Speaker 1: Well, here's the irony. Who's the rich in this country,

1285
00:58:56,440 --> 00:58:57,080
Speaker 1: it's old people.

1286
00:58:57,120 --> 00:58:58,440
Speaker 3: They're the ones who are going to there are ones

1287
00:58:58,480 --> 00:59:00,960
Speaker 3: are going to lobby against it the most, their overall

1288
00:59:01,080 --> 00:59:02,400
Speaker 3: net worth everything.

1289
00:59:02,440 --> 00:59:04,440
Speaker 2: That's why it's more important to have a class analysis

1290
00:59:04,440 --> 00:59:07,240
Speaker 2: than of age based analysis, because.

1291
00:59:08,720 --> 00:59:10,280
Speaker 4: Who are struggling as well.

1292
00:59:10,720 --> 00:59:13,720
Speaker 2: I'm not you know, in terms of accuracy, just in

1293
00:59:13,840 --> 00:59:19,320
Speaker 2: terms of like understanding the structure of society and who

1294
00:59:19,520 --> 00:59:22,600
Speaker 2: we should actually be positioning ourselves against and what sort

1295
00:59:22,600 --> 00:59:24,840
Speaker 2: of divides we should be striking. I don't think it's

1296
00:59:24,880 --> 00:59:27,360
Speaker 2: a generational war. It's a class war. Now, You're right,

1297
00:59:27,600 --> 00:59:30,439
Speaker 2: Boomers tend to have more, you know, more wealth accumulated,

1298
00:59:30,680 --> 00:59:34,200
Speaker 2: certainly the billionaire class. It's not even like I'm not

1299
00:59:34,200 --> 00:59:35,800
Speaker 2: even sure I could say the billion our class is

1300
00:59:35,840 --> 00:59:40,480
Speaker 2: disproportionately boomer probably, but in any case, it's I'm thinking

1301
00:59:42,480 --> 00:59:46,120
Speaker 2: and Zuckerberg and whatever. But you know, that's the people

1302
00:59:46,160 --> 00:59:49,360
Speaker 2: who get their way, especially with this administration, are the oligarchs.

1303
00:59:49,480 --> 00:59:53,680
Speaker 2: That's who actually has the power, and so those are

1304
00:59:53,680 --> 00:59:55,640
Speaker 2: the people that we need to be taxing more of.

1305
00:59:55,640 --> 00:59:57,560
Speaker 2: Those are the people whose power we need to be constraining.

1306
00:59:57,600 --> 00:59:59,360
Speaker 2: This goes back to the AI conversation as well.

1307
00:59:59,520 --> 01:00:02,120
Speaker 3: Yeah, I think that's true, but a little bit limited

1308
01:00:02,160 --> 01:00:04,200
Speaker 3: because it's not all going to come from them. And

1309
01:00:04,240 --> 01:00:06,120
Speaker 3: it's like I said, I mean, you have this entire

1310
01:00:06,160 --> 01:00:09,960
Speaker 3: state LA who is run by a cartel of the

1311
01:00:10,000 --> 01:00:12,960
Speaker 3: elderly who do everything in their power to builk the

1312
01:00:13,000 --> 01:00:16,680
Speaker 3: federal government for health care, for bailouts every time they

1313
01:00:16,680 --> 01:00:19,160
Speaker 3: get hit by a hurricane, and doing everything their power

1314
01:00:19,200 --> 01:00:21,720
Speaker 3: on the state level to make sure that families visiting

1315
01:00:21,760 --> 01:00:24,360
Speaker 3: Disney have to subsidize their entire way of life and

1316
01:00:24,400 --> 01:00:26,520
Speaker 3: they don't have to pay a dime in property tax,

1317
01:00:26,560 --> 01:00:28,880
Speaker 3: in school tax, in nothing. As long as those people

1318
01:00:28,920 --> 01:00:30,840
Speaker 3: are also included in this day.

1319
01:00:30,720 --> 01:00:32,360
Speaker 4: You want to hit on Florida, I will join you

1320
01:00:32,400 --> 01:00:33,000
Speaker 4: in that crusade.

1321
01:00:33,040 --> 01:00:36,760
Speaker 2: Okay, good, all right, all right, let's get to Israel.