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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center.

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Speaker 2: Jack Armstrong and Joe, Katty Armstrong and Jetty and he

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Speaker 2: Armsrong get live from the studio.

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Speaker 1: See we are in a dimly lit room deep from

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Speaker 1: the bowels of the Armstrong and Getty Communications Compound on

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Speaker 1: Little Friday, and today we're.

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Speaker 2: Under the tutelage of our general manager Trump. She deal

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Speaker 2: makers or not.

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Speaker 1: I meant to say that the compound now has We

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Speaker 1: had to put up new fencing. We've got some now

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Speaker 1: diseased monkey proof fencing because we had prepared fencing for

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Speaker 1: all kinds of different situations, but we hadn't thought of

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Speaker 1: diseased monkeys, so had to electrify.

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Speaker 2: So Michael, don't brush up against the fence on your

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Speaker 2: way in tomorrow.

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Speaker 3: It's h it's like four hundred volts.

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Speaker 1: Good to know Trump and g were our general manager.

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Speaker 1: Trump announced how did the meeting go? After sitting down

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Speaker 1: and talking to g for two hours, he said it

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Speaker 1: is a twelve out of ten. Yes, it's how he

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Speaker 1: announced the meeting that wrapped up not too long ago.

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Speaker 3: More neutral observers, not quite as it's cheerful about twelve

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Speaker 3: lot of test results, right, what do they know?

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Speaker 2: Huh? What are they? What are they? What's what's the

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Speaker 2: claim from so called neutral observers? What's the problem? Uh,

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Speaker 2: hang on a second.

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Speaker 1: Oh, for God's sake, I mean big, you know, the

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Speaker 1: biggest story, I think to me, because you know this

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Speaker 1: is my lane. Trump announcing We're going to resume nuclear

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Speaker 1: weapons testing. Right, it's a pretty big deal, tit for

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Speaker 1: tat with the Chinese and Russians nuclear tests?

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Speaker 2: Yeah.

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Speaker 3: Essentially, the claim by those who were critical of the

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Speaker 3: meeting was that she walked away with what he wanted.

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Speaker 3: Trump announced we got a great deal. It was a

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Speaker 3: great meeting, but really got vague promises in return.

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Speaker 2: Okay, so whatever.

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Speaker 3: I have two very distinctly contrasting accounts of the meeting

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Speaker 3: and its results. It just goes to show you the

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Speaker 3: nature of journalism. Well yeah, okay, whatever, what a wastever

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Speaker 3: he said? Was?

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Speaker 1: I mean, because that's either true or one hundred and

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Speaker 1: eighty degrees opposite of what happened. And I haven't got

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Speaker 1: the slightest idea And you can't tell from modern reporting

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Speaker 1: when people hate Trump so much.

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Speaker 3: So whatever, which is ironically exactly what Ishijin Ping and

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Speaker 3: Vladimir Putin have been trying to do to our society.

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Speaker 1: Yeah, good point, but it's so frustrating. What's the point

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Speaker 1: of even reading the newspaper to try to figure out

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Speaker 1: what happened when there's.

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Speaker 2: A decent chance that they're giving you one hundred and.

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Speaker 3: Eighty degrees opposite of what occurred, right right, Well, it's

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Speaker 3: interesting because I check in with the New York Times

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Speaker 3: in particular and several other liberal outlets just to see

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Speaker 3: what's being said, you know, what arguments will be answering

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Speaker 3: that sort of thing, And increasingly lately I've come away

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Speaker 3: jack Is, You've talked about this before, thinking, now I

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Speaker 3: get why people have a completely wildly different version of

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Speaker 3: what's happening in the world than a lot of us

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Speaker 3: in conservative America. They never see the stories that we

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Speaker 3: frequently think are important and the ones that both sides

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Speaker 3: agree are important. They get a completely wildly different version

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Speaker 3: of it.

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Speaker 2: So, yeah, makes it tough.

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Speaker 3: You can't hate people for trying to stay informed and

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Speaker 3: just going to what they perceived to be solid news.

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Speaker 2: Outlets that are just overwhelmingly lefties. So we'll try to

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Speaker 2: wrestle that to the ground, although it will not be easy.

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Speaker 1: This soon after the meeting happened to how things went

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Speaker 1: with President she but Trump directs Pentagon to test nuclear weapons,

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Speaker 1: and they announced that right before meeting with President g

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Speaker 1: which I find interesting because since he said that right

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Speaker 1: before walking into talk to the President of China, I

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Speaker 1: would have thought it was mostly about China. But I

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Speaker 1: was just listening to an interview with David Ignatius of

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Speaker 1: the Washington Post, who's considered kind of the dean of

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Speaker 1: that sort of thing with his contacts and the Pentagon

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Speaker 1: and whatnot, and he said it was all about Russia,

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Speaker 1: all about Russia, and Russia's big announcement over the weekend,

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Speaker 1: which I mentioned earlier in the week that they had

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Speaker 1: tested some sort of unstoppable delivery system and that perhaps

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Speaker 1: Trump's were going to start testing is nuclear weapons?

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Speaker 2: Is testing the delivery.

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Speaker 1: Systems rather than, you know, set off a bomb somewhere

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Speaker 1: to show that we got those.

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Speaker 2: We have those, We have plenty of those.

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Speaker 1: We have more than those than practically anybody. But the

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Speaker 1: delivery system thing, that's a big deal. Because Russia claims

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Speaker 1: they've got a new Nobody could stop it under any circumstances.

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Speaker 1: Way to send a bomb around the world. Right, it's funny,

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Speaker 1: that's an interesting topic. But I've always thought at the

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Speaker 1: point that we're hurling nuclear ordinance.

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Speaker 3: At each other, is some of it's going to get through,

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Speaker 3: even like the old style missiles, some of it will

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Speaker 3: get through.

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Speaker 2: There are so many warheads. Boy, I don't know.

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Speaker 1: I think if it's true, I think it's a pretty

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Speaker 1: big deal. If Russia could put a nuclear weapon into Washington,

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Speaker 1: d C. And we didn't even have a blip on

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Speaker 1: a radar anywhere when it went off, I don't.

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Speaker 3: See you could respond to that. Well, right, but again,

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Speaker 3: and you're not wrong. It's a really it's something we

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Speaker 3: need to deal with. But at the point the Russians

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Speaker 3: take out DC with a nuclear bomb, it's nuclear holocaust.

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Speaker 3: It's full on Planet of the Beaver's nuclear winner for

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Speaker 3: the next five hundred years, disaster.

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Speaker 2: I'll see you in heaven. Well, I don't know.

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Speaker 1: Yeah, I see your point, But yeah.

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Speaker 2: That's a heck of a thing.

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Speaker 1: I'm you know, so much for the peace dividend after

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Speaker 1: the Cold War ended and all that sort of stuff,

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Speaker 1: the end of history and whatnot.

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Speaker 2: Fools, we have the.

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Speaker 1: US president talking about resuming nuclear testing, which we haven't

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Speaker 1: tested any nuclear bombs since the early nineties, so it's

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Speaker 1: been thirty plus years.

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Speaker 2: Hmm.

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Speaker 3: I don't know how often you need to test nuclear

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Speaker 3: weapons pertainly, don't.

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Speaker 2: That's super familiar with that.

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Speaker 1: That's why there's an assumption that he's talking about nuclear

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Speaker 1: weapons delivery systems. But we'll look into that more later.

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Speaker 1: Is he just announced that, you know, in a Trump

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Speaker 1: sort of way. He just announced it out of nowhere,

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Speaker 1: with no like briefing papers or nobody underneath him, perhaps

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Speaker 1: even knowing he was going to say that.

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Speaker 3: So right right, Yeah, well I have to ask my

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Speaker 3: dad about that. That's what he did in the Air Force,

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Speaker 3: was dealt with our nuclear arsenal. A lot of it's

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Speaker 3: still I think classified, but sure, you know, I don't.

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Speaker 3: I have no idea what his level of knowledge of

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Speaker 3: the various things we've been talking about, Hey, Dad, how

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Speaker 3: often you have to test nuclear weapons? He might be

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Speaker 3: able to respond with like specific models of missiles and warheads,

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Speaker 3: or he may say, I don't know, I was just

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Speaker 3: keeping inventory.

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Speaker 2: I don't know, I or you.

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Speaker 3: Might answer me in a thick Russian accent, and the

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Speaker 3: truth would finally emerge.

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Speaker 2: Well, probably not.

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Speaker 1: I woke up this morning with a pretty bad sore throat,

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Speaker 1: and I thought, why do I have a sore throat?

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Speaker 1: Sore throats worry me based on various diseases I've had

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Speaker 1: throughout my life. Of course, sometimes it's just you know,

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Speaker 1: you had the heater on too much last night and

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Speaker 1: you laid on your back or.

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Speaker 2: Something that goes away. But I was so I was.

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Speaker 1: I'm walking out mount doing my evening walk, beautiful sunset,

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Speaker 1: nice weather this time. I don't know if you're watching

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Speaker 1: the World Series. Last time, it was ninety degrees at

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Speaker 1: first Pitch in Los Angeles, ninety degrees, And I remember

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Speaker 1: as a kid living in Wisconsin, where it was already,

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Speaker 1: you know, fifteen degrees by the time you get to October,

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Speaker 1: watching the World Series when it'd be the Dodgers, and

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Speaker 1: thinking there are places in the United States where it's

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Speaker 1: eighty five and sunny sorts as a kid, but anyway,

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Speaker 1: it's ninety degrees. There's a nice evening in northern California too,

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Speaker 1: and I'm walking run I see a monkey. It's got

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Speaker 1: a couple of sore yeah, and it's its eyes are

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Speaker 1: a little oozy, but I thought it looks so cute,

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Speaker 1: so I pet it.

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Speaker 2: It bites me a couple of times. You're a compassionate man. Yeah,

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Speaker 2: I wake up with a sore throat and I hope

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Speaker 2: it's not related. Huh oh, how are your glands a

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Speaker 2: little swollen? Monkey sized?

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Speaker 1: We do have an update on the diseased monkeys that

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Speaker 1: can escape the other day.

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Speaker 2: That's our favorite story. How can it know that's America's

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Speaker 2: lead story? Are you kidding me?

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Speaker 3: We've got diseased, wild, angry monkeys running around. The authorities

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Speaker 3: warned us they may be aggressive toward human why because

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Speaker 3: they've been jabbed with diseases for the last year or so.

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Speaker 2: That had pissed me off.

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Speaker 1: To see, what's there to be angry about. I was

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Speaker 1: living in the jungle and I got captured and put

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Speaker 1: in a cage and people started injecting me with diseases.

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Speaker 2: Yeah, I'm kind of pissed off right right here, little

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Speaker 2: monkey here, little monkey. I was such a fool. I

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Speaker 2: out for it. Oh god, oh my god.

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Speaker 1: As we have an update on that story, that's absolutely fantastic.

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Speaker 1: And the shutdown rolls on into another day in the

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Speaker 1: mainstream media, of course, making the biggest deal about the

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Speaker 1: various food benefits that come to an end at the

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Speaker 1: end of the month, which is rapidly approaching. Tomorrow is

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Speaker 1: the thirtieth day, and trying to use that as a

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Speaker 1: leverage point. Now, I don't I have no idea. The

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Speaker 1: people I follow that I trust in politics say the

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Speaker 1: polling is all over the place, and who's to blame.

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Speaker 2: I was just watching MSNBC.

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Speaker 1: They were claiming that most polls show the Republicans are

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Speaker 1: being blamed.

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Speaker 3: If that is because their messaging is D minus level

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Speaker 3: communicating the American people, it is inexcusably bad.

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Speaker 1: Republicans are horrible message messaging. But you're also up against

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Speaker 1: all of the mainstream media trying to present it as

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Speaker 1: the Republican's fault, so that makes it a little difficult.

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Speaker 3: Also, oh yeah, one hundred percent. But that's why you've

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Speaker 3: got to be good. That's the game we play on

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Speaker 3: the right side of the aisle. Got to be sharp

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Speaker 3: with your messaging.

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Speaker 1: Well, I thought John Thune and the Republican leader of

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Speaker 1: the Senate, was pretty good yesterday. I gave a pretty

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Speaker 1: fiery speech. We'll play a little of that for you later,

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Speaker 1: trying to make it clear that. Hey, we vote every

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Speaker 1: single day, we vote to have the stuff continue.

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Speaker 2: Everything be fine, all right, every day.

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Speaker 3: And he's thirty five years younger than miss McConnell's, so

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Speaker 3: that helps a little bit too.

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Speaker 2: Yeah.

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Speaker 1: So now we'll get to that coming up. Let's start

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Speaker 1: the show officially before we get into trouble. I'm Jack Armstrong,

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Speaker 1: He's Joe Getty on this. It is Thursday, October, thirtieth

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Speaker 1: day before Halloween, the.

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Speaker 2: Year twenty twenty five or Armstrong and getting we approve

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Speaker 2: of this program. Happy Halloween.

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Speaker 3: En.

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Speaker 2: All right, let's begin then officially.

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Speaker 3: According to FCC Wolves Eggs, the show starts at mark

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Speaker 3: He's he's.

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Speaker 4: On the prow There an urgent surge to find three

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Speaker 4: lab monkeys still on the loose.

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Speaker 2: Yeah, mar.

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Speaker 4: The primates gave Tuesday afternoon when a trunk carrying them

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Speaker 4: crashed on the interstate in Jasper.

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Speaker 2: County, Mississippi.

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Speaker 4: Tulane clarifying saying while they provide monkeys for research, the

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Speaker 4: primates in question belonged to another entity and are not infectious.

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Speaker 3: So yesterday it was one monkey, now it's three. What

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Speaker 3: did they clone it? Did it have sex and have

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Speaker 3: baby monkeys?

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Speaker 2: No? Lie number one line number two.

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Speaker 3: Oh, these monkeys are not infectious from our university running

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Speaker 3: around biting people.

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Speaker 2: Don't worry about it. I have two comments. One, do

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Speaker 2: you believe? And you're a fool.

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Speaker 1: We're into the second day of coverage and we're still

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Speaker 1: relying on that tongueless gentleman to let us know what's happening.

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Speaker 1: I can't believe we haven't gotten a better authority event.

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Speaker 1: And secondly, basically their message was that's not our monkey,

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Speaker 1: that's not my monkey, that's somebody else.

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Speaker 2: Yeah.

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Speaker 5: Yeah, we got diseased monkeys and undiseased ones. Yeah, these

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Speaker 5: are the undiseased ones. Yeah, they're fine. Don't worry somebody

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Speaker 5: else's or anything. Our monkeys weren't nearly that free, is

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Speaker 5: I recall?

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Speaker 2: Am I actually worried about this? No?

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Speaker 1: But do I think a university would claim monkeys that

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Speaker 1: have injected with all kinds of diseases aren't injected?

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Speaker 2: Yes? I do think they would lie about that.

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Speaker 3: Well, let me take a quick call hello Joe Hare, Yes,

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Speaker 3: oh hi doctor Fauci. Yes, okay, all right, okay, thank you.

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Speaker 2: Yeah.

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Speaker 3: It turns out people lie about that sort of thing

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Speaker 3: all the time. If they create a heinous disease that

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Speaker 3: gets loose and killed lots of people. They pretend like

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Speaker 3: it's a zero chats, that that's what happened, even though

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Speaker 3: everybody can see that's what happened.

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Speaker 1: Me with my sore throat. Why did I pet that monkey?

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Speaker 1: I was there at the back of my mind. He say,

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Speaker 1: don't pet it. Don't pet it. It just looks so sad,

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Speaker 1: well because of its sores. Right, Yes, Okay, We've got

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Speaker 1: Katie's headlines on the way, more news of the day

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Speaker 1: on the big news day, so stay with us.

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Speaker 2: While Joe tried to put a negative.

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Speaker 1: Spin on Trump's meeting with President g I went to

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Speaker 1: a couple of sources myself, who mostly say it's.

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Speaker 2: Too early to tell.

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Speaker 1: There's no way to know what the hell happened yet.

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Speaker 3: Oh yeah, that was one of the criticisms I think

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Speaker 3: is that it's all fairly vague.

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Speaker 2: But I don't know. It's early days. Let's find out.

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Speaker 3: It's a complicated, complicated relationship, double complicated, all right, let's

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Speaker 3: figure out who's reporting what it's lead story with Katie

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Speaker 3: Green and Katie waiting for Jack's joke.

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Speaker 2: Oh, I'm sorry, I can't give a joke when I

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Speaker 2: got a sore throat.

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Speaker 6: After being attacked by the research jack all right, starting

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Speaker 6: with the Washington Post. In South Korea, Trump secures a

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Speaker 6: trade deal and a glittering crown, which I found hilarious

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Speaker 6: in light of the no king's protests.

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Speaker 2: That's why she did. It's funny. I'd forgotten about those

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Speaker 2: protests already, but.

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Speaker 1: Yeah, eh, you know, the biggest protest in US history

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Speaker 1: saying you're a king and you go around the country

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Speaker 1: people giving you.

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Speaker 3: Crowns and chuckling about it. Yeah, that's you know, that's

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Speaker 3: the way to deal with it, Honestly, silly.

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Speaker 6: CNN Western Intelligence says Iran is re arming despite you

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Speaker 6: and sanctions, along with China's help.

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Speaker 2: Oh boy, that's second part.

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Speaker 1: So I'm not surprised Iran is attempting to rearm, although

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Speaker 1: they got another bombing coming.

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Speaker 2: But if China is helping him, that's something.

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Speaker 3: And Trump is not going to sit still for that either.

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Speaker 3: That would rouse his personal eyre.

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Speaker 2: From Bloomberg.

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Speaker 6: AI is all that matters right now.

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Speaker 2: I want to get.

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Speaker 1: Into that article in Bloomberg about how much of the economy,

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Speaker 1: the stock market, all the good feelings out there are AI,

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Speaker 1: and it's either a bubble or it ain't, but the

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Speaker 1: numbers around it are incredible, just absolutely incredible. Tesla hit

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Speaker 1: a near high yesterday, which I thought the bloom was

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Speaker 1: off the rows on Tesla.

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Speaker 2: But they're into the AI world though.

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Speaker 3: Well, Nastacs just sky high, and that's just insanely high.

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Speaker 6: From the New York Post, NFL Hall of Famer Antonio

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Speaker 6: Gates allegedly hosted and played and rigged Miami poker game.

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Speaker 1: Yeah, this should be a big deal if it all

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Speaker 1: gets nailed down as true big giant star.

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Speaker 2: Beloved player for the Chargers, and if.

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Speaker 1: He was in those games as the face and knew

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Speaker 1: what was going on, I'd have some serious implications for

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Speaker 1: the NFL.

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Speaker 2: Hold on to your hats, guys. From Breitbart dot com,

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Speaker 2: New York.

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Speaker 6: City musical titled Slam Frank portrays Holocaust victim and Frank

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Speaker 6: as a pan sexual Latina with a non binary lover.

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Speaker 3: All right, Yeah, that's actually a conservative written parody of

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Speaker 3: lefty lunacy. I've read some people say, oh my god,

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Speaker 3: you've got to see it. It's the best thing ever,

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Speaker 3: saying decent enough idea, but it doesn't quite land the beholder.

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Speaker 3: But it's a parody, which is good and I love

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Speaker 3: how over the top it is.

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Speaker 1: Well and the fact that I couldn't obviously.

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Speaker 2: Tell it was a parody shows you where we are

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Speaker 2: now that could happen.

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Speaker 6: Indeed, yes, daily mail flight delayed by more than four

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Speaker 6: hours after the cabin crew starts to fight.

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Speaker 2: Oh cool, I wonder what they were fighting about.

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Speaker 6: It didn't give detail on that, which is irritating.

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Speaker 2: Gotta be relationships, doesn't it.

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Speaker 3: I'm thinking it wasn't a heavyweight about if you know

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Speaker 3: what I mean.

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Speaker 2: Oh jeez, there's a lot of splat.

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Speaker 3: Lap and scratching, hair pullings, no matter which sexes were

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Speaker 3: involved in.

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Speaker 6: Oh my god, study fines, junk food, fuels, one hundred

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Speaker 6: or more gut changes that can tank your mood. Only

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Speaker 6: exercise can fix them.

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Speaker 2: Okay, I would like to read more about that. I

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Speaker 2: don't want my mood tanked.

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Speaker 6: And finally, from the Babylon Bee newsome Can continues to

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Speaker 6: endanger the public by issuing drivers' licenses to women.

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Speaker 2: Oh wow wow.

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Speaker 1: Wait, now he's about to have a huge political win.

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Speaker 2: We can talk about that coming up later.

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Speaker 1: But you want to feel bad about things as an investor,

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Speaker 1: Wait till I hit you with the numbers of what

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Speaker 1: the stock market has done around AI that you missed

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Speaker 1: the boat on probably no.

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Speaker 2: Stop it Armstrong and Getty.

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Speaker 7: For the second time this year, the Federal Reserve now

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Speaker 7: cutting interest rates by a quarter point that brings rates

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Speaker 7: below four percent for the first time in three years.

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Speaker 7: Economists point to inflation picking up and hiring that has slowed.

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Speaker 7: FED chair Jerome Powell signaling a potential December rate cut

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Speaker 7: quote is not a foregone conclusion, and.

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Speaker 1: The markets dropped some on the idea that it's not

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Speaker 1: given that there'll be a market or a interest rate

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Speaker 1: cut in December. Anyway, it's down to the lowest in

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Speaker 1: three years, and we'll see what that does to the

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Speaker 1: housing market in particular, and anything.

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Speaker 2: Else but.

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Speaker 1: Bloomberg the business website speaking of Bloomberg, Michael Bloomberg, which

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Speaker 1: that website is named after, Michael Bloomberg, the billionaire who

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Speaker 1: was New York mayor as a Republican and then an

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Speaker 1: Independent and then was a ran for president as a Democrat.

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Speaker 2: He's all over the place.

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Speaker 1: He threw a million and a half dollars at the

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Speaker 1: Cuomo campaign and yesterday, and the theory is that a

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Speaker 1: guy like him he'd been on the sidelines for this

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Speaker 1: whole mayoral race for some reason, which is interesting as

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Speaker 1: a two time New York mayor that he hasn't gotten

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Speaker 1: more involved, although he is one hundred and fifty years old.

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Speaker 2: But he threw a million in all, probably out of

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Speaker 2: disgust with the alternatives. Good point.

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Speaker 1: He threw a million and a half dollars at Andrew Cuomo,

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Speaker 1: and the theory is that he wouldn't be doing that

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Speaker 1: if he didn't have some internal polloing that shows.

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Speaker 2: There's some sort of shot for Cuomo to still win

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Speaker 2: this thing. Excelseor I hear you, brother.

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Speaker 3: The chorus of voices out in the last forty eight

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Speaker 3: hours pointing out how dangerous and radical Mamdanni truly is

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Speaker 3: is notable. I've got a bunch of examples of that

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Speaker 3: in a little bit. But it's it's.

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Speaker 2: Coming from a lot of different quarters. God, if you

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Speaker 2: had just like.

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Speaker 1: A regular old gray boring somebody wants to be mayor

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Speaker 1: with no baggage, they would absolutely win. But because there's

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Speaker 1: enough resistance to the Communists Israel hating Mamdani, but the

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Speaker 1: backup plan is a scumbag.

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Speaker 3: Yeah, yeah, it really is astonishing. It's an example or

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Speaker 3: illustration of how mobbed up New York is, how crooked

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Speaker 3: and mobbed up it all is. How is there not

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Speaker 3: some you know, the vice mayor from the last competent mayor,

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Speaker 3: you know some Bloomberg endorsed.

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Speaker 2: Wall Street who's reasonable? How can that not happen? Anyway?

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Speaker 1: So the interest rate cut and all that sort of stuff, Well, Bloomberg,

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Speaker 1: the news website, the business news websites, their big headline.

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Speaker 2: Is AI is all that matters right now.

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Speaker 1: For all the headlines about the Fed and the trade

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Speaker 1: deals and rate cuts, AI is still by far the

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Speaker 1: dominant story in global markets.

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Speaker 2: Here's a couple examples why.

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Speaker 1: Despite the fact that the vast majority of people in

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Speaker 1: market see a bubble around this AI stuff. So that

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Speaker 1: is the zeitgeist right now, that this is a bubble,

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Speaker 1: That's not a reason to be bearish right now, writes Bloomberg.

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Speaker 1: The best way to make money and this is interesting

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Speaker 1: and this is where all this is where the talent

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Speaker 1: comes in, and I don't have it.

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Speaker 2: That's why I'm going to stay on the sidelines probably.

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Speaker 1: But the best way to make money and markets is

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Speaker 1: to spot a bubble early and hop on board. As

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Speaker 1: it inflates, and then obviously get out before it pops.

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Speaker 2: Oh, that's the hard part.

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Speaker 1: How many people actually do that, get on at some

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Speaker 1: point on the rise up knowing it's a bubble, get

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Speaker 1: out on time. That's got to be a pretty small

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Speaker 1: group of people. Well, there are ways to do that.

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Speaker 3: You sell off a certain percentage, then you wait a

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Speaker 3: few days, sell off another percentage, sell off another percentage.

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Speaker 3: But it's hard to walk away from a slot machine, right,

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Speaker 3: just pouring money.

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Speaker 2: Right, let me give you the numbers here.

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Speaker 1: I mean, I even if I had gotten in at

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Speaker 1: a great level out I gotten out a long time ago.

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Speaker 1: So Nvidio became the world's first five trillion dollar company yesterday.

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Speaker 1: Tesla is getting close to a fresh all time high.

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Speaker 1: Bloomberg's Magnificent seven index, that's the the big AI companies,

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Speaker 1: the tech companies that are throwing heavily invested in AI

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Speaker 1: right now is up twenty seven percent this year after

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Speaker 1: jumping sixty seven percent in twenty twenty four.

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Speaker 2: So, I mean, how are you a guy who.

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Speaker 1: Doesn't get out after that and hangs on for this

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Speaker 1: net twenty seven percent ride? And that was after more

439
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Speaker 1: than doubling in twenty twenty three, i'd've.

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Speaker 2: Gotten out then my money doubled. This has been a

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Speaker 2: great ride.

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Speaker 1: I'm sure it's gonna pop soon, and I've gotten out

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Speaker 1: two full years early, missed out on everything.

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Speaker 2: Yep.

445
00:22:15,080 --> 00:22:18,200
Speaker 3: I've had the conversation over and over with our main

446
00:22:18,280 --> 00:22:20,240
Speaker 3: financial guy, this is crazy.

447
00:22:20,240 --> 00:22:21,359
Speaker 2: This can't last. You know.

448
00:22:21,600 --> 00:22:24,840
Speaker 3: That's what we said last year too, So maybe let's

449
00:22:24,840 --> 00:22:28,159
Speaker 3: hang in that way. It just feels insane right now.

450
00:22:28,520 --> 00:22:30,280
Speaker 2: Those of you who got in it, you know, and

451
00:22:30,680 --> 00:22:31,040
Speaker 2: hung on.

452
00:22:31,600 --> 00:22:33,960
Speaker 1: Up twenty seven percent this year for all your tech

453
00:22:33,960 --> 00:22:38,199
Speaker 1: stocks after going up sixty seven percent the year before

454
00:22:39,080 --> 00:22:40,240
Speaker 1: and doubling the year before that.

455
00:22:41,080 --> 00:22:44,560
Speaker 2: That's one of the great rises in any particular.

456
00:22:44,040 --> 00:22:48,159
Speaker 1: Thing ever moving up, which we may look back on

457
00:22:48,240 --> 00:22:51,200
Speaker 1: this year's from now if AI becomes as dominant and

458
00:22:51,280 --> 00:22:52,840
Speaker 1: big a deal as a lot of people claim it's

459
00:22:52,840 --> 00:22:55,920
Speaker 1: going to be, and think, how did everybody.

460
00:22:55,480 --> 00:22:56,399
Speaker 2: Not realize this?

461
00:22:56,760 --> 00:22:58,720
Speaker 1: How did I not realize this and put all my

462
00:22:58,800 --> 00:23:02,200
Speaker 1: money in the next big thing. It's like not recognizing

463
00:23:02,280 --> 00:23:04,840
Speaker 1: that gas powered engines were going to be a thing

464
00:23:04,960 --> 00:23:08,520
Speaker 1: or something right right, being the it'll never replace the

465
00:23:08,640 --> 00:23:12,920
Speaker 1: horse voice of the twenty first century. You don't want

466
00:23:12,920 --> 00:23:18,160
Speaker 1: to be that, Yeah, I came across and I can't

467
00:23:18,160 --> 00:23:21,280
Speaker 1: decide whether to group this with AI stuff for medicine stuff,

468
00:23:21,280 --> 00:23:23,919
Speaker 1: because I've got a lot of interesting information about well,

469
00:23:23,960 --> 00:23:27,440
Speaker 1: it's not interesting as much as it's depressing about insurance

470
00:23:27,480 --> 00:23:29,800
Speaker 1: cost and medical costs and how screwed up our system is.

471
00:23:29,840 --> 00:23:34,119
Speaker 1: But the piece that Daniel Axt wrote was I finally

472
00:23:34,160 --> 00:23:37,160
Speaker 1: have a physician who's available and who gets me meet

473
00:23:37,280 --> 00:23:43,159
Speaker 1: doctor Grock. And this is not about like the you know,

474
00:23:43,640 --> 00:23:49,040
Speaker 1: look at this diagnosis part of medicine. He's talking about

475
00:23:49,119 --> 00:23:53,840
Speaker 1: how it's practically impossible to get him to get to

476
00:23:53,920 --> 00:23:56,080
Speaker 1: see his primary care physician.

477
00:23:56,880 --> 00:24:00,840
Speaker 2: So all he sees are special lists.

478
00:24:00,640 --> 00:24:03,680
Speaker 3: Who are are tree doctors who can't see the forest,

479
00:24:03,880 --> 00:24:09,760
Speaker 3: he says, And there's nobody to quarterback his care in general,

480
00:24:10,640 --> 00:24:13,719
Speaker 3: to kind of coordinate it and be well the quarterback.

481
00:24:14,680 --> 00:24:15,840
Speaker 2: And so he's started.

482
00:24:15,880 --> 00:24:18,119
Speaker 3: He's healthy, a sixty nine year old guy, but he

483
00:24:18,160 --> 00:24:22,760
Speaker 3: says he has various level low level chronic disorders. He says,

484
00:24:22,800 --> 00:24:24,920
Speaker 3: I get most of my healthcare from constellations of a

485
00:24:25,000 --> 00:24:27,920
Speaker 3: highly trained specialist. He's focused on his or her narrow

486
00:24:27,960 --> 00:24:30,560
Speaker 3: realm rather than my overall health. Not only are these

487
00:24:30,560 --> 00:24:33,680
Speaker 3: tree surgeons flying to the forest, but they're also overwhelmed

488
00:24:33,720 --> 00:24:37,280
Speaker 3: with patients, which makes appointments scary, scarce and brief. Often

489
00:24:37,359 --> 00:24:39,719
Speaker 3: during our fleeting time together, they're more focused on their

490
00:24:39,760 --> 00:24:40,520
Speaker 3: computers than me.

491
00:24:40,800 --> 00:24:45,840
Speaker 2: Always we're all familiar with that. Yeah. Uh.

492
00:24:45,880 --> 00:24:48,360
Speaker 3: At my last annual physical I told my primary care

493
00:24:48,400 --> 00:24:50,760
Speaker 3: guy I desperately needed somebody to quarterback my care, but

494
00:24:50,760 --> 00:24:52,800
Speaker 3: that it was nearly impossible to get in to see him.

495
00:24:53,400 --> 00:24:55,840
Speaker 3: He said, quote, yes, it's like getting in an audience

496
00:24:55,840 --> 00:24:56,560
Speaker 3: with the Pope.

497
00:24:56,680 --> 00:24:57,960
Speaker 2: I can't quarterback anything.

498
00:24:59,760 --> 00:25:02,920
Speaker 3: And and he gets into the fact that a blood

499
00:25:02,960 --> 00:25:06,040
Speaker 3: test showed he had low iron, and one hurried physician

500
00:25:06,119 --> 00:25:10,600
Speaker 3: sent me a message said, eat lentils, but I already

501
00:25:10,600 --> 00:25:14,040
Speaker 3: eat lots of iron rich meat. Lentils contain non heme

502
00:25:14,119 --> 00:25:17,600
Speaker 3: iron hemi iron, which is poorly absorbed unless accompanied by

503
00:25:17,640 --> 00:25:21,040
Speaker 3: food containing vitamin C, all of which the physician left unset.

504
00:25:21,160 --> 00:25:22,760
Speaker 2: I didn't know any of that. I'd have to look

505
00:25:22,760 --> 00:25:23,080
Speaker 2: it up.

506
00:25:23,840 --> 00:25:26,919
Speaker 3: Contrast his terse advice with what I got from groc

507
00:25:27,119 --> 00:25:29,600
Speaker 3: My go to AI chatbot when I asked what I

508
00:25:29,600 --> 00:25:31,600
Speaker 3: ought to eat if my iron levels are a little low.

509
00:25:31,880 --> 00:25:34,680
Speaker 3: The response a model of clarity and nuance. Was immediate

510
00:25:34,720 --> 00:25:37,560
Speaker 3: and free quote. To raise low iron levels, focus on

511
00:25:37,640 --> 00:25:41,800
Speaker 3: iron rich foods and pair them strategically to boost absorption.

512
00:25:42,200 --> 00:25:44,560
Speaker 3: It then listed foods that might help, starting with meats,

513
00:25:44,720 --> 00:25:48,160
Speaker 3: followed by three helpful bullet points. Pair non hemi irons

514
00:25:48,200 --> 00:25:50,520
Speaker 3: with vitamin C sources gives a bunch of examples to

515
00:25:50,560 --> 00:25:54,480
Speaker 3: increase absorption. Avoid consuming calcium rich foods, dairy tea or

516
00:25:54,480 --> 00:25:57,280
Speaker 3: coffee with iron rich meals as they can inhibit absorption.

517
00:25:57,640 --> 00:26:00,000
Speaker 3: And cook and cast iron pants to add small amounts

518
00:26:00,040 --> 00:26:05,080
Speaker 3: byron to food. Blah blah blah. Yeah a second, probably

519
00:26:05,160 --> 00:26:07,959
Speaker 3: quite ready yet, but that could be the role of AI.

520
00:26:08,720 --> 00:26:11,640
Speaker 3: It's like a supervising health quarterback.

521
00:26:12,040 --> 00:26:14,200
Speaker 1: I know this is about AI and not about iron,

522
00:26:14,240 --> 00:26:15,960
Speaker 1: But you want to raise your iron and you eat

523
00:26:16,000 --> 00:26:18,640
Speaker 1: foods cooked in a cast iron pot because it picks

524
00:26:18,680 --> 00:26:19,560
Speaker 1: up some of the iron.

525
00:26:20,560 --> 00:26:23,480
Speaker 3: That's what it's said. Wow, I know, I know I

526
00:26:23,520 --> 00:26:26,719
Speaker 3: had the same reaction. I'm like, really, how much? So

527
00:26:26,800 --> 00:26:29,480
Speaker 3: you used to take in chunks of iron if your

528
00:26:29,520 --> 00:26:32,520
Speaker 3: iron is low? Okay, how about I just you know,

529
00:26:32,640 --> 00:26:35,760
Speaker 3: take some sandpaper and you know, get some good iron

530
00:26:35,880 --> 00:26:37,560
Speaker 3: dust going and then just lap it up.

531
00:26:37,960 --> 00:26:39,600
Speaker 1: If I go to home, deepot and get a bowl

532
00:26:39,640 --> 00:26:41,639
Speaker 1: of bolts and I just sit and lick on them.

533
00:26:41,560 --> 00:26:43,560
Speaker 2: During while I'm watching the World Series. Well, you kid,

534
00:26:43,560 --> 00:26:46,879
Speaker 2: it's very relaxing. Yeah, low calorie. What'd you say, Michael?

535
00:26:47,640 --> 00:26:49,359
Speaker 2: What do you Oh? My gosh.

536
00:26:49,400 --> 00:26:49,560
Speaker 3: Yeah.

537
00:26:49,600 --> 00:26:51,640
Speaker 2: The good folks of Prize Picks a quick message from them.

538
00:26:52,119 --> 00:26:54,560
Speaker 3: Get in on the baseball action while at last the

539
00:26:54,680 --> 00:26:57,720
Speaker 3: NBA is up and running. You got your football, of course,

540
00:26:57,800 --> 00:26:59,720
Speaker 3: and Prize Picks is the easiest, most fun way to

541
00:26:59,720 --> 00:27:02,480
Speaker 3: get in fantasy sports. It's simply you just picked more

542
00:27:02,560 --> 00:27:05,240
Speaker 3: or less on two or more player sat projections.

543
00:27:05,240 --> 00:27:07,960
Speaker 2: If your picks come in, you cash in Thursday.

544
00:27:07,960 --> 00:27:09,560
Speaker 1: So we got an NFL game tonight, and of course

545
00:27:09,600 --> 00:27:13,280
Speaker 1: basketball pretty much every single day. Price Picks now offers stacks,

546
00:27:13,359 --> 00:27:15,480
Speaker 1: meaning you can pick the same player up the three

547
00:27:15,560 --> 00:27:19,919
Speaker 1: times in the same lineup. Use the example of Steph Curry,

548
00:27:19,920 --> 00:27:21,600
Speaker 1: one of the great basketball players of all time. You

549
00:27:21,600 --> 00:27:25,359
Speaker 1: could go three pointers, points and assists all three, and

550
00:27:25,400 --> 00:27:27,480
Speaker 1: you could pick all three in the same lineup only

551
00:27:27,520 --> 00:27:28,160
Speaker 1: on Price Picks.

552
00:27:28,160 --> 00:27:30,000
Speaker 2: So download the Prize Picks app today and use.

553
00:27:29,920 --> 00:27:32,800
Speaker 1: The code Armstrong to get fifty dollars in lineups after

554
00:27:32,840 --> 00:27:35,119
Speaker 1: you play your first five dollars lineup.

555
00:27:35,080 --> 00:27:36,679
Speaker 3: And on Prize Picks, how he plays up to you.

556
00:27:36,680 --> 00:27:38,959
Speaker 3: If you want flexibility, choose flex Play, where you can

557
00:27:38,960 --> 00:27:40,919
Speaker 3: get paid even if one of your picks misses. If

558
00:27:40,920 --> 00:27:42,800
Speaker 3: you want the biggest payouts, go for the power Play.

559
00:27:42,800 --> 00:27:44,800
Speaker 3: No matter how you play, Price Picks a great way

560
00:27:44,840 --> 00:27:47,240
Speaker 3: to put your takes to the test. Download that Prize

561
00:27:47,240 --> 00:27:50,840
Speaker 3: Picks app today again use the code Armstrong Prize Picks.

562
00:27:51,119 --> 00:27:53,359
Speaker 1: It's good to be right now, Back to the AI

563
00:27:53,640 --> 00:27:57,959
Speaker 1: aspect of the medical thing. The whole joke about you know,

564
00:27:58,040 --> 00:28:00,680
Speaker 1: you look up your symptoms and give yourself Internet cancer.

565
00:28:00,760 --> 00:28:03,240
Speaker 1: I've always found that funny because no matter if you

566
00:28:03,320 --> 00:28:05,680
Speaker 1: just go with Google and you put in some symptoms,

567
00:28:05,720 --> 00:28:08,440
Speaker 1: it tells you you got cancer and some sort it's

568
00:28:08,520 --> 00:28:11,040
Speaker 1: useless information, and the doctors will warn you against it.

569
00:28:11,119 --> 00:28:14,160
Speaker 1: But I could see how hold the whole Grock Gemini

570
00:28:14,240 --> 00:28:20,120
Speaker 1: chat GPT, if you're somewhat specific, could be very damned handy.

571
00:28:20,640 --> 00:28:21,120
Speaker 2: Oh yeah.

572
00:28:21,359 --> 00:28:24,560
Speaker 1: In fact, in fact, that's basically what the doctors do,

573
00:28:24,680 --> 00:28:30,200
Speaker 1: isn't it. Don't they They go into their their available information,

574
00:28:31,000 --> 00:28:33,920
Speaker 1: and I've seen it myself where they read off their

575
00:28:34,000 --> 00:28:36,240
Speaker 1: screen what they're being told.

576
00:28:36,280 --> 00:28:37,560
Speaker 2: Well, Grock can do you the same thing.

577
00:28:38,040 --> 00:28:40,560
Speaker 3: Yeah, my primary care doc, who thank god, is really

578
00:28:40,600 --> 00:28:44,080
Speaker 3: good and we can see although it's you know, it's

579
00:28:44,120 --> 00:28:46,840
Speaker 3: not what it used to be, but yeah, he'll literally say,

580
00:28:46,880 --> 00:28:48,760
Speaker 3: that's a great question. Let's take a look, and you

581
00:28:48,760 --> 00:28:52,840
Speaker 3: know you'll look it up. Essentially that men do that

582
00:28:52,920 --> 00:28:56,400
Speaker 3: for you. Cool. Croc explains everything and if something seems unclear,

583
00:28:56,440 --> 00:28:58,640
Speaker 3: I can ask a question or get clarification and ask

584
00:28:58,680 --> 00:29:03,240
Speaker 3: again and again. It never out of time or patience free. Testosterone,

585
00:29:03,280 --> 00:29:05,720
Speaker 3: for instance, can be expressed in several different units of measure.

586
00:29:05,800 --> 00:29:08,280
Speaker 3: Groc explained, this translated my numbers is needed. I was

587
00:29:08,280 --> 00:29:10,719
Speaker 3: set for the test because I was feeling tired. Doctor's

588
00:29:10,720 --> 00:29:13,080
Speaker 3: web portal showed the results is slightly low, but the

589
00:29:13,120 --> 00:29:16,560
Speaker 3: reference range for all men was for all men rather

590
00:29:16,600 --> 00:29:19,480
Speaker 3: than those pushing seventy. Also, I was tested in the afternoon,

591
00:29:19,520 --> 00:29:22,360
Speaker 3: when testosterone is typically lower. Groc said that the test

592
00:29:22,440 --> 00:29:24,240
Speaker 3: should have been done in the morning, which nobody even

593
00:29:24,280 --> 00:29:26,760
Speaker 3: the lab told me. Allowing for my age and time

594
00:29:26,760 --> 00:29:28,160
Speaker 3: of day, my results were just fine.

595
00:29:28,800 --> 00:29:29,720
Speaker 2: That's interesting.

596
00:29:29,720 --> 00:29:31,440
Speaker 1: And I know, Katie, you've talked a lot about how

597
00:29:31,520 --> 00:29:34,800
Speaker 1: much AI's helped you with all your pregnancy stuff.

598
00:29:34,880 --> 00:29:37,760
Speaker 6: Oh, yeah, And it's great because it just creates one

599
00:29:37,840 --> 00:29:39,600
Speaker 6: conversation and I don't have to go in and re

600
00:29:39,720 --> 00:29:40,920
Speaker 6: explain myself every time.

601
00:29:40,960 --> 00:29:42,360
Speaker 2: It just picks up right where we left off.

602
00:29:42,480 --> 00:29:44,040
Speaker 1: That's one of the best things I like about the

603
00:29:44,040 --> 00:29:46,040
Speaker 1: whole AI thing is you can just join back in

604
00:29:46,080 --> 00:29:48,200
Speaker 1: the conversation like as a doctor or a friend, as

605
00:29:48,200 --> 00:29:50,440
Speaker 1: opposed to starting from scratch every single time and you

606
00:29:50,480 --> 00:29:50,959
Speaker 1: google it.

607
00:29:51,200 --> 00:29:53,080
Speaker 6: Oh yeah, the other day. The other day, I said,

608
00:29:53,160 --> 00:29:55,040
Speaker 6: I feel like crap. That was all I typed in,

609
00:29:55,080 --> 00:29:57,080
Speaker 6: and it said, well, you're this far into your medication

610
00:29:57,200 --> 00:29:57,840
Speaker 6: and this far.

611
00:29:57,760 --> 00:29:59,680
Speaker 2: Along and this is why you don't feel well. I

612
00:29:59,720 --> 00:30:02,400
Speaker 2: was like, this is wonderful. Yeah.

613
00:30:02,520 --> 00:30:06,640
Speaker 3: The obligatory note of caution. This guy was trading stories

614
00:30:06,640 --> 00:30:11,480
Speaker 3: with a buddy of his and his friends says, it

615
00:30:11,480 --> 00:30:14,680
Speaker 3: has made two big mistakes with me, And when I

616
00:30:14,800 --> 00:30:17,120
Speaker 3: challenged it, it said, you're right, and thanks for calling

617
00:30:17,160 --> 00:30:19,360
Speaker 3: me out. But they were both kind of worrisome and

618
00:30:19,400 --> 00:30:21,280
Speaker 3: made me at least somewhat more cautious.

619
00:30:21,640 --> 00:30:23,680
Speaker 1: Is there a decent chance you type in your symptoms

620
00:30:23,680 --> 00:30:26,160
Speaker 1: and chat GPT says, I think you should just kill yourself.

621
00:30:26,440 --> 00:30:28,880
Speaker 2: That's what you should do now.

622
00:30:28,880 --> 00:30:31,200
Speaker 3: It usually takes a while before it tells like a

623
00:30:31,240 --> 00:30:33,000
Speaker 3: troubled teenager to off themselves.

624
00:30:33,040 --> 00:30:35,360
Speaker 1: But yeah it works. You there, God, what is the

625
00:30:35,360 --> 00:30:38,240
Speaker 1: stat I saw yesterday? I'll look it up on how

626
00:30:38,280 --> 00:30:42,080
Speaker 1: many tens of thousands of people have been going to

627
00:30:42,560 --> 00:30:46,800
Speaker 1: chat GPT and specific about wanting to kill themselves. I

628
00:30:46,800 --> 00:30:52,640
Speaker 1: mean it's a common problem now, wow, social contagion probably, yeah, yeah,

629
00:30:53,080 --> 00:30:54,360
Speaker 1: to some extent at least.

630
00:30:54,440 --> 00:30:56,200
Speaker 2: Yeah. Okay, we got mail bag on the way, lots

631
00:30:56,200 --> 00:31:01,480
Speaker 2: of stuff. Stay here, I found the numbers what I

632
00:31:01,520 --> 00:31:02,320
Speaker 2: was just talking about.

633
00:31:02,480 --> 00:31:05,960
Speaker 1: Chat GPT says more than a million people every week

634
00:31:06,720 --> 00:31:10,240
Speaker 1: are showing suicidal ideation that would be intent or planning.

635
00:31:10,600 --> 00:31:13,720
Speaker 1: Now they are also being sued by the family of

636
00:31:13,720 --> 00:31:15,680
Speaker 1: a sixteen year old went ahead and killed themselves because

637
00:31:15,720 --> 00:31:18,400
Speaker 1: chat GPT told the kid that's what he should do.

638
00:31:19,320 --> 00:31:23,160
Speaker 1: So they're probably trying to make it seem like, you know,

639
00:31:23,200 --> 00:31:25,440
Speaker 1: what are we supposed to do? This is such a

640
00:31:25,480 --> 00:31:29,160
Speaker 1: common thing. But that's interesting if true.

641
00:31:29,560 --> 00:31:32,160
Speaker 3: Yeah, yeah, I'd say so. Yeah, let's talk about that

642
00:31:32,320 --> 00:31:34,640
Speaker 3: more a little bit later. Here's your Freedom Love med

643
00:31:34,680 --> 00:31:40,360
Speaker 3: quote of the day. It's sent along by Pawlow quoting

644
00:31:40,880 --> 00:31:47,440
Speaker 3: John Adams. Papa, our constitution was made only for a

645
00:31:47,480 --> 00:31:50,280
Speaker 3: moral and religious people. We have no government armed with

646
00:31:50,360 --> 00:31:54,320
Speaker 3: power capable of contending with human passions unbridled by morality

647
00:31:54,360 --> 00:31:58,400
Speaker 3: and religion. Avarice, ambition, revenge, or gallantry would break the

648
00:31:58,440 --> 00:32:01,320
Speaker 3: strongest courts of our constitution. As a whale goes through

649
00:32:01,360 --> 00:32:04,480
Speaker 3: the through a net. Our constitution was made only for

650
00:32:04,520 --> 00:32:07,080
Speaker 3: a moral and religious people. It is wholly inadequate to

651
00:32:07,120 --> 00:32:11,400
Speaker 3: the government of any other doomed mail bag.

652
00:32:11,640 --> 00:32:15,440
Speaker 1: It reminds me We've got a new slogan, Starve the Lazy,

653
00:32:16,040 --> 00:32:17,000
Speaker 1: Starve the Lazy.

654
00:32:17,080 --> 00:32:20,840
Speaker 3: We're working on the T shirt slash hoodie slash hat

655
00:32:20,840 --> 00:32:24,760
Speaker 3: design for the Armstrong and Armstrong and Getty Starved the

656
00:32:24,840 --> 00:32:25,880
Speaker 3: Lazy campaign.

657
00:32:27,360 --> 00:32:28,720
Speaker 2: Very excited about this.

658
00:32:29,880 --> 00:32:31,560
Speaker 3: More on that no moment drop us a note mail

659
00:32:31,560 --> 00:32:33,560
Speaker 3: bag at armstrong he Getty dot com. Nice note from

660
00:32:33,600 --> 00:32:35,920
Speaker 3: Barry in Thailand, who is frequently hear from. He says,

661
00:32:35,960 --> 00:32:39,200
Speaker 3: My nine year old grandson, who lives with us in Thailand, came.

662
00:32:39,120 --> 00:32:40,760
Speaker 2: Up to me today. I asked, Hey, what's up?

663
00:32:40,800 --> 00:32:43,680
Speaker 3: He replied six seven and laughed and ran away, left

664
00:32:43,720 --> 00:32:49,800
Speaker 3: me speechless. That's in Thailand, tired of humanity.

665
00:32:50,200 --> 00:32:51,200
Speaker 2: Oh, let's see.

666
00:32:51,360 --> 00:32:55,000
Speaker 3: On the topic of starving the lazy and capitalism.

667
00:32:55,280 --> 00:32:57,240
Speaker 2: Uh, let's see.

668
00:32:57,400 --> 00:32:59,680
Speaker 3: Curtis writes, my father taught us economics, so one of

669
00:32:59,680 --> 00:33:02,480
Speaker 3: eight it's my father went to the third grade, started

670
00:33:02,520 --> 00:33:05,480
Speaker 3: making money at eight years old selling cold pop dish

671
00:33:05,480 --> 00:33:07,800
Speaker 3: shops in town, using a wagon with a free shaved

672
00:33:07,800 --> 00:33:09,360
Speaker 3: dice kit keeping things cold.

673
00:33:09,520 --> 00:33:10,840
Speaker 2: In nineteen twenty six.

674
00:33:11,200 --> 00:33:11,480
Speaker 3: Wow.

675
00:33:11,760 --> 00:33:13,400
Speaker 2: Then he owned three dump trucks.

676
00:33:13,080 --> 00:33:16,520
Speaker 3: Working on Route sixty six at age thirteen, hamburger stand

677
00:33:16,560 --> 00:33:20,560
Speaker 3: in Clinton, Oklahoma. At sixteen, he died with much rental income.

678
00:33:21,680 --> 00:33:24,240
Speaker 3: Of my seven siblings, five of us own businesses. We're

679
00:33:24,280 --> 00:33:27,320
Speaker 3: all very wealthy, et cetera, et cetera. We started in

680
00:33:27,360 --> 00:33:31,720
Speaker 3: real Lida. Still listening from Middle Tennessee. It's culture. There

681
00:33:31,840 --> 00:33:36,000
Speaker 3: is a culture of success that some families and some

682
00:33:36,080 --> 00:33:40,200
Speaker 3: people have. There's a culture of dependence. It's absolutely clear.

683
00:33:40,360 --> 00:33:43,000
Speaker 3: Wait a second, you're from California, but you moved to Tennessee.

684
00:33:43,080 --> 00:33:44,240
Speaker 3: I haven't heard of such a thing.

685
00:33:44,960 --> 00:33:48,840
Speaker 2: That's weird. Let's see, Moving along, Mark writes.

686
00:33:49,120 --> 00:33:52,440
Speaker 3: Gavin Newsom said, the hunger is the point that may

687
00:33:52,520 --> 00:33:56,440
Speaker 3: be correct, except it's the Democratic position, not the Republican position.

688
00:33:56,560 --> 00:33:58,600
Speaker 2: Yeah, it's encouraging people to be in poverty.

689
00:33:58,680 --> 00:34:01,560
Speaker 1: Yeah, Republicans are not making a good work of making

690
00:34:01,600 --> 00:34:02,440
Speaker 1: that clear to people.

691
00:34:03,800 --> 00:34:06,080
Speaker 2: All right, Oh, out of order?

692
00:34:06,800 --> 00:34:10,960
Speaker 3: Stand bye, got of it, mornan Jack and Joe writes

693
00:34:11,000 --> 00:34:14,960
Speaker 3: Mary in the Home. Shout out Mary, longtime listener, very

694
00:34:14,960 --> 00:34:17,239
Speaker 3: helpful compiles our end of the year lists for us,

695
00:34:17,280 --> 00:34:20,760
Speaker 3: just out of love and kindness. Thank you Mary anyway,

696
00:34:20,840 --> 00:34:24,440
Speaker 3: she says to the anti work idiots on Reddit who

697
00:34:24,480 --> 00:34:28,040
Speaker 3: said everything everyone should have free shelter, food, and water.

698
00:34:28,320 --> 00:34:31,239
Speaker 3: You're on, bro. Here's your tenth for your shelter. Here

699
00:34:31,280 --> 00:34:33,320
Speaker 3: are your seeds so you can grow your own food.

700
00:34:33,520 --> 00:34:35,600
Speaker 3: Here's your spot down by the river. A filter for

701
00:34:35,640 --> 00:34:37,879
Speaker 3: your water so you have something to drink. Oh sorry,

702
00:34:37,960 --> 00:34:40,200
Speaker 3: there's no money for your cell phone or anything else

703
00:34:40,239 --> 00:34:43,480
Speaker 3: for that matter. No electricity, no clothing, no bedding, certainly

704
00:34:43,480 --> 00:34:45,879
Speaker 3: no food stamps or anything else for that matter. This

705
00:34:45,960 --> 00:34:48,040
Speaker 3: is all you want. Go ahead and take it. That's it,

706
00:34:48,120 --> 00:34:50,359
Speaker 3: that's what you wanted. Perfect, that's all you get here.

707
00:34:50,400 --> 00:34:53,720
Speaker 3: You go happy to help now scram resist.

708
00:34:53,400 --> 00:34:57,520
Speaker 2: Me much Marry in the Home. I love you, Mary.

709
00:34:57,719 --> 00:35:00,560
Speaker 3: Oh that's awesome boy. A lot of people commenting on

710
00:35:00,600 --> 00:35:04,600
Speaker 3: Bill Gates about face. Bill Gates writes, there and old

711
00:35:04,640 --> 00:35:07,239
Speaker 3: global warming Bill Gates, the one that claims he's trying

712
00:35:07,239 --> 00:35:09,320
Speaker 3: to help save the world, yet whose own company is

713
00:35:09,360 --> 00:35:12,160
Speaker 3: stating for security reasons they're forcing Windows update that requires

714
00:35:12,200 --> 00:35:15,000
Speaker 3: a certain chepst which sending over two hundred million perfectly

715
00:35:15,040 --> 00:35:18,560
Speaker 3: good computers to the eWays dumpsters due to the incompatibility.

716
00:35:18,680 --> 00:35:22,640
Speaker 1: That guy, great guy Lol. Then Bill, Steve Gilaine Maxwell

717
00:35:22,640 --> 00:35:23,080
Speaker 1: says hey.

718
00:35:24,040 --> 00:35:27,200
Speaker 3: Then Steve writes, get ready for the wave of influential

719
00:35:27,239 --> 00:35:29,640
Speaker 3: people to soften their opinion on climate change, not because

720
00:35:30,080 --> 00:35:33,080
Speaker 3: of some epiphany about how to attack this existential threat

721
00:35:33,080 --> 00:35:36,040
Speaker 3: to all of mankind, as mister Gates has suggested. Bill

722
00:35:36,080 --> 00:35:38,600
Speaker 3: is in the computing business. AI is the focus of

723
00:35:38,600 --> 00:35:41,520
Speaker 3: his motives. Supercomputer data centers are growing fast and they

724
00:35:41,520 --> 00:35:45,520
Speaker 3: gobble up electricity faster than the cities. Green energy can't

725
00:35:45,600 --> 00:35:48,120
Speaker 3: keep up with the demands of AI. Bill needs power

726
00:35:48,120 --> 00:35:49,520
Speaker 3: for his investments, simple as that.

727
00:35:50,400 --> 00:35:53,839
Speaker 1: He could also also could be you know, reality hitting

728
00:35:53,880 --> 00:35:57,040
Speaker 1: him with this, and this was the way into the reality.

729
00:35:57,040 --> 00:35:58,360
Speaker 2: But that all makes sense.

730
00:35:58,520 --> 00:36:03,080
Speaker 3: Well it does, and you're probably right, Steve, But he

731
00:36:03,360 --> 00:36:06,919
Speaker 3: used to be wrong and what he's saying now is right.

732
00:36:07,880 --> 00:36:10,920
Speaker 3: So isn't it least conceivable that he just realized that Well,

733
00:36:11,000 --> 00:36:13,319
Speaker 3: I don't know. I like the dark motives idea better.

734
00:36:13,600 --> 00:36:16,960
Speaker 3: Got some good emails on the difference between Republicans and Democrats.

735
00:36:17,000 --> 00:36:18,440
Speaker 2: Being proud of the country. We can get to it

736
00:36:18,480 --> 00:36:18,960
Speaker 2: a little bit.

737
00:36:19,560 --> 00:36:23,640
Speaker 1: Even The New York Times says kjp's book tour is

738
00:36:23,680 --> 00:36:26,480
Speaker 1: a train wreck. I can't believe the New York Times

739
00:36:26,560 --> 00:36:31,040
Speaker 1: had such a negative review of what she's doing, So

740
00:36:31,080 --> 00:36:32,719
Speaker 1: we'll have to get at that at some point too.

741
00:36:32,760 --> 00:36:34,600
Speaker 1: If you miss a segment, get the podcast Armstrong and

742
00:36:34,640 --> 00:36:35,480
Speaker 1: Getty on demand

743
00:36:37,760 --> 00:36:38,920
Speaker 2: Armstrong and Getty