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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, Jack Armstrong, Joe Getty.

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Speaker 2: Armstrong, and Jettie and he Armstrong and Eddy.

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Speaker 1: To give Notre Dame the laid in the final seconds

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Speaker 1: forty one yard attempts snapping older God the.

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Speaker 2: Texas That was Notre Dame beating Penn State last night

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Speaker 2: in college football playoffs. So that means noted is the

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Speaker 2: who's Notre Dame play? Now? Somebody?

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Speaker 1: Oh, the winner of the State versus Central game?

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Speaker 2: Exactly.

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Speaker 1: I've not been following that closely. But they're in the

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Speaker 1: national championship game now, aren't they.

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Speaker 2: You got Ohio State versus Texas one of your Texas

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Speaker 2: schools this weekend. Don't look to us for sports, you know. Yeah,

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Speaker 2: I didn't bring it up anyway.

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Speaker 1: So coming up this hour, there are people who online

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Speaker 1: and otherwise our targeting insurance companies in California for abuse

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Speaker 1: over dropping a bunch of homeowners. That is the wrong target, friends,

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Speaker 1: the wrong target of your animosity. It is government policy,

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Speaker 1: which we will explain. Also some of the more ridiculous

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Speaker 1: and hilarious examples of Facebook's fact checking while they were

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Speaker 1: in that field.

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Speaker 2: Of course you've probably heard that.

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Speaker 1: Recently, Mark Zuckerberg has announced they're not in that business

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Speaker 1: anymore because he cares about free speech, all right. I

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Speaker 1: think he may actually, but they are browbeaten out of

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Speaker 1: doing that and hired a bunch of lofty, lefty jackasses

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Speaker 1: through their quote unquote fact checking. But anyways, that is

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Speaker 1: to come, so we occasionally do. I'd like to do

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Speaker 1: more of them, but by Gully we work a lot

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Speaker 1: very tired Armstrong and Getty extra Large podcasts where we

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Speaker 1: do a long form interview, and again I would like

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Speaker 1: to do more of those. But we did one with

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Speaker 1: the Ian Bremmer, the founder and CEO of Your Asia Group,

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Speaker 1: which does analysis of risks for corporations and governments around

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Speaker 1: the world, and every year they put out their global

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Speaker 1: risk list, the top ten risks and then a couple

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Speaker 1: of super bonus ones, and we went through a good

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Speaker 1: bit of that list. Now, if you would like to

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Speaker 1: hear the entire interview, it's available as Armstrong, Getty extra Large,

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Speaker 1: and Hanson just to save you the trouble, also included

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Speaker 1: it in the subscription Armstrong and Getty on Demand, so

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Speaker 1: you'll get it automatically. Downloaded anyway, So why don't we

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Speaker 1: Michael will go with ninety two covers a fair amount

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Speaker 1: of ground, and part of the reason I asked the

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Speaker 1: question in the way I did is a couple of

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Speaker 1: the risks that Ian and his folks cite have to

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Speaker 1: do with uncertainty about Trump and the way he's going

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Speaker 1: to serve as president, and sometimes the threats or promises

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Speaker 1: he's been made.

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Speaker 2: So we'll just go from there.

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Speaker 1: Not only am I one of the great prognosticators of

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Speaker 1: our time or any other Ian, I'm also willing to

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Speaker 1: offer my services to go abroad and explain Trump's negotiating style, because.

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Speaker 2: I see on your list of risks several.

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Speaker 1: Of them are related to Trump's governing style, whether the

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Speaker 1: checks and balances of the American system will hold, whether

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Speaker 1: our alliances will hold. And you know, I look back

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Speaker 1: to his first term and he has said some outrageous

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Speaker 1: things about NATO that bothered me. I don't particularly appreciate

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Speaker 1: his negotiating style, but the threats to like disband NATO

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Speaker 1: or let anybody attack him or whatever, I found wildly inappropriate.

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Speaker 1: But the net result was a stronger, more responsible NATO

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Speaker 1: in terms of self funding.

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Speaker 3: Absolutely, and when he said that Mexico was going to

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Speaker 3: build a wall and pay for it, they paid for

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Speaker 3: absolutely nothing on the border. But they did strengthen their

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Speaker 3: own border security in the south, which led to far

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Speaker 3: fewer illegal immigrants going through Mexico into the United States

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Speaker 3: under the Trump administration.

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Speaker 4: Couldn't agree with you more.

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Speaker 1: That clip is supposed to be four minutes and thirty

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Speaker 1: five seconds long.

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Speaker 2: That's disappointing. It went by quickly. Yeah, yeah, okay, the

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Speaker 2: like to whisper in her ears and tell us what they.

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Speaker 1: Okay, we're talking about China a little bit next clip.

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Speaker 1: You know, anybody who predicts the imminent downfall of the

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Speaker 1: Chinese Communist Party as a fool, but they do have

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Speaker 1: unbelievable headwinds, including demographics. How bearish are you on China

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Speaker 1: and xesiin Ping in the medium for long term?

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Speaker 4: Well, I mean in a sense.

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Speaker 3: The fact that Xijian Ping reached out to India, had

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Speaker 3: a two hour plus summit, and and pulled back Chinese

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Speaker 3: troops from their contested border shows that China knows they've

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Speaker 3: got big headwinds and they don't want a big crisis

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Speaker 3: with India.

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Speaker 4: They reached out to Japan and asked for a summit.

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Speaker 3: Usually it's the other way around, and they offered to

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Speaker 3: start buying Japanese seafood with just a few months ago

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Speaker 3: they said, you can't sell here because it's all radioactive

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Speaker 3: because of Fukushaba.

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Speaker 4: I've seen them do a lot of this around the

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Speaker 4: world now.

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Speaker 3: Some of this is because they're worried about Trump and

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Speaker 3: the uncertainty coming from the US that they don't think

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Speaker 3: they can manage. But some of it is a recognition

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Speaker 3: that they're in a bad position, and so frankly, it

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Speaker 3: behooves them.

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Speaker 4: To stabilize these relations.

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Speaker 3: And that comes from a deep concern that you just

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Speaker 3: asked about.

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Speaker 4: Do I think they're about to fall? No, But I

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Speaker 4: mean they're demographics.

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Speaker 3: They're at what one point four billion people right now,

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Speaker 3: and expectations for twenty one hundred, when you know you

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Speaker 3: and I are going to be pretty pretty geezerly is

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Speaker 3: that they're going to be down to five hundred million to.

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Speaker 4: Seven hundred and fifty million.

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Speaker 3: So I mean a significant I mean the biggest contraction

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Speaker 3: of a population that you would ever see in an

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Speaker 3: economy outside of like war or famine. So it's peacetime

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Speaker 3: in China, and they're just saying, we just don't want

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Speaker 3: to have any kids, and there's nothing the Chinese government

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Speaker 3: can do about it. This is not a five year

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Speaker 3: a ten year problem. Their retirement age for men is

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Speaker 3: fifty five. They can extend that for five or ten years.

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Speaker 3: They're not very urbanized. They can move more people into cities,

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Speaker 3: they can make agriculture more efficient, they can lean into AI.

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Speaker 3: There's a lot of things they can do that can

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Speaker 3: give them a ten year buffer, but they don't have

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Speaker 3: a generational solution here.

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Speaker 4: So long term, I think they're in very big trouble.

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Speaker 2: Which is good news.

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Speaker 1: It is if they're you know, global dominating, expansionist lusts

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Speaker 1: are abated for a while, it's good for everybody.

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Speaker 2: Yeah. I did ask Ian about AI because that was

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Speaker 2: one of his risks a couple of years ago. And

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Speaker 2: I asked him, you know, are they further ahead then

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Speaker 2: you thought they would be, or further behind? And he

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Speaker 2: said further ahead, which I thought was interesting. And we

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Speaker 2: mentioned the Consumer Electronics Show unveiled the most recent that's

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Speaker 2: going on right now in Las Vegas, unveiled the most recent. Uh,

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Speaker 2: what term doo want I use? Because I don't want

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Speaker 2: to prejudice the conversation. Lifelike companion robots. Companion robots, Yeah,

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Speaker 2: and they tend to be women because of the way

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Speaker 2: guys brains work, I guess.

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Speaker 1: Extremely attractive female forms.

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Speaker 2: Yeah, that look a lot like human beings, like like

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Speaker 2: a really hot, like twenty five year old, is what

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Speaker 2: this robot looks like. And I mentioned when I went

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Speaker 2: to the Sphere in Las Vegas. This is a couple

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Speaker 2: of years ago. I didn't see the most recent version. Now,

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Speaker 2: they had a robot, like a human robot out there

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Speaker 2: talking to people, and it just stood there and talked

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Speaker 2: to people and had conversations with everybody. Where are you from?

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Speaker 2: And the person would say, I'm from Minnesota, Oh, Minnesota,

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Speaker 2: how do you like it there? It's awful cold? Which

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Speaker 2: part of Minnesota? And they'd say say, oh, that it's

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Speaker 2: not as bad there as it is up involvement. I mean,

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Speaker 2: they'd have conversations and it was disturbing Henry. It weirded

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Speaker 2: Henry my son out so much that he didn't he said,

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Speaker 2: when we go back to the Sphere to the Eagles concert,

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Speaker 2: we got to go around that. He said, I can't

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Speaker 2: handle it. It keeps me up at night. It bothered him

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Speaker 2: so much, the robot thingy. But anyway, that's a couple

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Speaker 2: of years ago. The technology of it holding a conversation

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Speaker 2: now it's you know, exponentially better. And they put it

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Speaker 2: into this hot chick body that they've got on display

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Speaker 2: at the cees down in alv Now. I don't, I

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Speaker 2: honestly don't know where we're going as a species with this.

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Speaker 2: Don't you think, I mean, honestly, God, not not far

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Speaker 2: fetched sci fi anything. Don't you think, honest to God,

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Speaker 2: we're just a couple of years away from a significant

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Speaker 2: enough portion of the in cell population having one of

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Speaker 2: these for a girlfriend. Yes, yeah, I think so.

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Speaker 1: I would like it not to be true, but it's

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Speaker 1: heading in that direction in a big hurry.

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Speaker 2: I would say, combine on a conversation I had the

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Speaker 2: other day, you know, get the podcast earlier. I won't

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Speaker 2: tell the whole story, but a bunch of people telling

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Speaker 2: a friend of mine. These were guys telling a friend

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Speaker 2: of mine that they are really into the chat GPT

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Speaker 2: girlfriend experience of just having somebody to talk to when

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Speaker 2: they get home from work, and how you know, pleasing

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Speaker 2: their voices, And they had the nice conversations they have

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Speaker 2: and everything like that, they talk about their day and

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Speaker 2: so I mean, if you're getting that from just a

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Speaker 2: voice coming out of the computer, you combine it with

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Speaker 2: this body and its ability to actually have sex with you.

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Speaker 2: I don't know what percentage, Well, you tell me what

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Speaker 2: percentage of guys do you think are susceptible to be

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Speaker 2: in a relationship with a robot? Do you think it's

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Speaker 2: a good tenth of one or more like twenty percent?

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Speaker 1: Honestly, if I had to guess, it'd be somewhere between

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Speaker 1: those two figures. I don't know because I haven't fully

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Speaker 1: experienced the thing, and I did not grow up with

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Speaker 1: the experience of never having a girlfriend.

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Speaker 2: Right, I'm concerned it could easily be double digits. Ten

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Speaker 2: percent of dudes have robots girl friends within five years?

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Speaker 1: Yeah, I would agree. Wow, And it's on both ends

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Speaker 1: of the scale. Not only you know, guys who lack

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Speaker 1: the gumption or the social skills or are getting candy

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Speaker 1: that fills their belly instead of the meal that is

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Speaker 1: an actual human relationship. And also you know, angry radical women,

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Speaker 1: young women. We've received more emails than I could count

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Speaker 1: from guys saying dudes I agree with you on all

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Speaker 1: of this stuff, but I try to date women and

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Speaker 1: they're nuts and they're angry, and if you even express

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Speaker 1: political moderation, they want nothing to do with you, a

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Speaker 1: notion that is so foreign to both of our life

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Speaker 1: experience way back in the day, the hazy days of

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Speaker 1: the nineteen nineties, you know.

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Speaker 2: However, handsOn post a link to that New York Post

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Speaker 2: article so people can see these pictures, and I'll tweet

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Speaker 2: it out just so you can see what the current

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Speaker 2: AI robots look like. And yeah, older gentlemen, lonely gentleman,

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Speaker 2: your wife left you. It's you know, you're too busy

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Speaker 2: and broke to find to get to have a real relationship.

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Speaker 4: Man.

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Speaker 2: I can see this having an appeal for a lot

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Speaker 2: of people.

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Speaker 1: And widows widowers, Oh, I could see that, you know.

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Speaker 1: And in some cases I would think, you know, I

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Speaker 1: was gonna say, that's okay, but it's just so sad

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Speaker 1: because it's not a real human relationship. But I don't

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Speaker 1: want to go too far down the world it is,

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Speaker 1: because it's inunbelievably depressing, is it.

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Speaker 2: Are we jumping to a conclusion we shouldn't jump to that.

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Speaker 2: It's said does it fulfill all.

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Speaker 3: You don't think it'll become socially acceptable at some point

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Speaker 3: where somebody comes up and says, this is my girlfriend

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Speaker 3: and it's a robot, and you're forced to interact with

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Speaker 3: the robot.

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Speaker 2: I ain't doing that, no, sir, going there. I ain't

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Speaker 2: talking to your robot unless it was just like to

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Speaker 2: check to see how you know far along AI technology

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Speaker 2: is and how good it is it talking to me?

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Speaker 2: But I ain't sitting there having a conversation with your

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Speaker 2: hot robot girlfriend.

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Speaker 1: Not calling a man in a dress a woman, not

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Speaker 1: calling a robot a human, Thank you very much. What

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Speaker 1: bothered your son is? And I just became aware of

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Speaker 1: this term the uncanny valley and going back to Rod Serling,

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Speaker 1: they knew this or even before that, the silent movies

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Speaker 1: of the nineteen twenties and thirties. The uncanny valley. It's

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Speaker 1: the unsettling feeling you experienced when you encounter something that looks.

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Speaker 2: Very human but not quite.

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Speaker 4: Wow.

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Speaker 2: That's interesting. I'll have to read up on that. Because

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Speaker 2: he has it a lot. I mean, he gets he

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Speaker 2: gets so freaked out by in these things.

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Speaker 1: Huh yeah, we're more free, doubt by something that's almost

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Speaker 1: human then something that's clearly not.

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Speaker 2: Wow, you're right, Michael, when it crosses the line that

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Speaker 2: there's social pressure to treat the dude at the Christmas

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Speaker 2: party with his robot girlfriend like he's got a relationship.

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Speaker 2: Oh we've been you've got together for three years. Oh

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Speaker 2: that's fantastic. Glad things are working up.

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Speaker 1: I'll be fishing with human beings. Good luck, y'all.

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Speaker 2: Stay here.

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Speaker 1: Thorney's announcing the arrest of twenty looters and we asked

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Speaker 1: the LAPD about it.

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Speaker 2: Oh, it's huge, it's huge.

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Speaker 5: So as you can say, do you have devastations from

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Speaker 5: blocks and blocks and then you have a million dollar

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Speaker 5: homes all intact, rows and rows of them, and there's

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Speaker 5: really no way to police this area effectively right.

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Speaker 2: Now, Why are the penalties not just so high for

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Speaker 2: looting that you would never want to do it? Is

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Speaker 2: there a reason?

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Speaker 1: I guess a lack of agreement among the political class

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Speaker 1: that that's appropriate looting? It back a man, Yeah, I

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Speaker 1: would like it to be draconian. So one of the

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Speaker 1: hell you like, troubling to the conscience.

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Speaker 2: Yeah, yeah, yeah, pushes the uh pushes the you know,

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Speaker 2: rights against extreme punishment, like clear up to the edge

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Speaker 2: to make people stop. I mean, that's horrific. We got

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Speaker 2: some more stuff coming up about the whole insurance situation,

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Speaker 2: insurance companies dropping homeowners' policies right before the fire, if

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Speaker 2: you have anything ever happened, and how that whole thing works,

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Speaker 2: and now it's a policy decision in California and really

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Speaker 2: needs to be understood. New York Times went big on

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Speaker 2: that story today. Is it's interesting for everybody. But the

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Speaker 2: other headline that's getting a fair amount of attention is

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Speaker 2: the whole Trump sentencing thing in the Stormy Daniel's hush

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Speaker 2: money trial. Like every word and phrase I use is yeah,

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Speaker 2: dripping with spin or needs explanation. The main goal of

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Speaker 2: the judge and the people pushing this whole thing was

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Speaker 2: to be able to say, as I see the headline

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Speaker 2: on CNN, it will be the first former felon to

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Speaker 2: enter the White House as president. That was the goal, right,

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Speaker 2: That's what they wanted to do. There is no penalty

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Speaker 2: involved with this. It's a dischargement or whatever they call it,

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Speaker 2: So no jail time, no fines, no nothing, there's just

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Speaker 2: no penalty whatsoever. But he has officially got thirty four

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Speaker 2: felonies so that people can say that, and I guess

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Speaker 2: that makes them feel better other than the legal fee's spent.

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Speaker 1: It has all the significance of a world's greatest dad mug.

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Speaker 2: Which I've still got one of those sitting right by

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Speaker 2: my coffee maker. May I see it every day?

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Speaker 1: Right, But it's please, it's silly, yeah, and will be

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Speaker 1: just absolutely batted out of the park on appeal.

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Speaker 2: As I predicted before. It's wild that that continued now.

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Speaker 2: So it went to the Supreme Court, and the Supreme

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Speaker 2: Court could have gotten involved, but for whatever reason they didn't.

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Speaker 2: Five to four decision by the Ultramga out of control

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Speaker 2: needs to be shut down extremists. Supreme Court, my poor

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Speaker 2: decision to light Kavana. You will reap the whirlwind. You

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Speaker 2: won't know what hit you.

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Speaker 1: Chuck Schumer. One of the worst things he ever said.

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Speaker 2: Yeah, So anyway, so that's that. If you see that headline,

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Speaker 2: it's nothing that nobody will ever remember it. No, it's

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Speaker 2: of no significance to anybody, including Trump. Correct.

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Speaker 1: Yeah, it's amazing how much is made out of that,

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Speaker 1: but you know, all things Trump.

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Speaker 2: Of course, one more thing I wanted to mention with

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Speaker 2: Shane what I don't have time to say it. Okay,

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Speaker 2: everybody should be aware of the realities of why the

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Speaker 2: insurance companies have bailed on California.

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Speaker 1: Absolutely so, and any anger directed at the insurance companies

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Speaker 1: is misplaced. I'm telling you, and I'm no slacky for

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Speaker 1: insurance companies. There's one state in the Union that has

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Speaker 1: a particular policy, and it's California.

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Speaker 2: No, I feel like I've been screwed by many an

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Speaker 2: insurance company. I don't want to stand up with them,

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Speaker 2: but we should all know the facts on this, so

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Speaker 2: we'll stay tuned. Armstrong and Getty.

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Speaker 6: ABC's David muirr Is being mocked for using clothespins to

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Speaker 6: cinch his jacket more tightly around his chest while.

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Speaker 2: Reporting from the scene.

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Speaker 6: He was also overheard asking a crew member, does this

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Speaker 6: burning city make me look fat? Let's only hope that

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Speaker 6: the sock he puts in his crotch his flame retardants.

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Speaker 2: Does this burning city make me look fat?

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Speaker 1: Gutfeld, bring it it at a boy, Greg oh Man.

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Speaker 2: That's good stuff.

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Speaker 1: I can't kick David Muir enough, but he's not the

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Speaker 1: topic of the segment. Just thought it was worth pointing

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Speaker 1: out that we're no great fans of the big insurance companies.

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Speaker 1: I mean, they're practices. We've all been there. You pay

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Speaker 1: you in for years and years and years, than you've

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Speaker 1: finally have a claim, they say, yeah, we're dropping you,

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Speaker 1: or here's your check, get out.

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Speaker 2: Or it doesn't count in this circumstance because the wind

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Speaker 2: came from the north, so we don't cover roofs and

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Speaker 2: when it comes from the north or something right, there

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Speaker 2: are various hygiens that we could criticize them for, but

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Speaker 2: part of the reason they've become more or less customer

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Speaker 2: friendly is because of their mounting losses. Now, I thought

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Speaker 2: this was a very good and balanced opening from the

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Speaker 2: Wall Street Journal editorial board. They point out the politicians

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Speaker 2: are blaming each other for the losses in the horrific

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Speaker 2: Los Angeles area wildfires, and the truth is mother nature

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Speaker 2: can be merciless. We need to.

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Speaker 1: Sort out the stories about water shortages and what happened

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Speaker 1: with the higher hydrants. But they point out it's not

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Speaker 1: too soon to note that California's politicians have fueled a

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Speaker 1: five alarm insurance market crisis that will hurt homeowners and

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Speaker 1: taxpayers across the state once the fires have died out,

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Speaker 1: and I would point out across the country too, for

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Speaker 1: reasons I'll explain the second A five alarm crisis.

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Speaker 2: Are they aware that they use a fire related metaphor

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Speaker 2: for the story? I think they probably are.

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Speaker 1: And they go into the heavy rain for a couple

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Speaker 1: of years than the drought free year, which means heavy

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Speaker 1: but dry vegetation, and the storms with the incredible winds,

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Speaker 1: and that is absolutely a factor in what's happening. But

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Speaker 1: there's a fair amount of anger being directed toward insurance

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Speaker 1: companies for dropping quite a number of the homeowners whose

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Speaker 1: homes just burnt down several weeks a few to several

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Speaker 1: weeks ago, having warned the state that they were going

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Speaker 1: to do that. Insurers had I'm jumping back now to

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Speaker 1: the and that's driven a lot of people to the

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Speaker 1: undercapitalized state insure of last resort, which is called fair

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Speaker 1: of course, because everything has to have a sunny sounding acronym.

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Speaker 1: But insurers had already scrapped hundreds of thousands of policies

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Speaker 1: and limited coverage and wildfire prone areas. We know, that's

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Speaker 1: why I don't have my cabin in the woods anymore.

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Speaker 1: A Democrats, that's blame climate change, which has become an

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Speaker 1: all purposes excuse for any disaster early failure. But the

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Speaker 1: real insurance problem is that state regulators have barred insurers

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Speaker 1: from charging premiums that fully reflect risks and costs.

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Speaker 2: California is the only state.

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Speaker 1: That hair to four has not allowed insurers to incorporate

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Speaker 1: the cost of reinsurance in premiums. Until this year, it

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Speaker 1: also prohibited insurance. I could explain what reinsurance is. It's

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Speaker 1: insurance for insurance companies in case of a cataclysmic loss.

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Speaker 1: Part of their loss is taken on by these and

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Speaker 1: these reinsurance companies anyway.

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Speaker 2: But here's the main point.

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Speaker 1: Until this year, California had also prohibited insurers from adjusting

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Speaker 1: premiums by using the standard industry practice of catastrophe modeling

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Speaker 1: to predict the property's future risk. Insurers could only assess

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Speaker 1: premiums based on historical losses, no matter what has happened

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Speaker 1: to constructions an inflation in the interim. You can't say, hey,

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Speaker 1: look the price of a two by four is eighty

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Speaker 1: percent more than it used to be, and that's that's

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Speaker 1: a for instance, I don't have that in front of me.

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Speaker 1: You cannot say that in only one state in the Union, California,

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Speaker 1: as an insurance company.

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Speaker 2: And so as a result, it's crazy. You don't have

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Speaker 2: to basically insane too, you have to be a genius

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Speaker 2: being counter to understand that everything is so much more expensive.

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Speaker 2: So when did this happen? When did they make that

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Speaker 2: rule in California? Because obviously with inflation, the timing is

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Speaker 2: particularly bad.

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Speaker 1: Yeah, I don't remember when that passed. Honestly, I could

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Speaker 1: probably find out how much.

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Speaker 2: More expensive it is it is it to put a

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Speaker 2: new roof on a house now versus twenty eighteen. Oh

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Speaker 2: my god.

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Speaker 1: Well, and can you imagine in any setting, in a

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Speaker 1: business setting, you know, sir, I think we ought to

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Speaker 1: add on to the plant. Historically the square footage it

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Speaker 1: will cost two hundred dollars. There's a square foot all right,

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Speaker 1: let's do it. Ignoring the fact that it's now three

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Speaker 1: hundred and fifty dollars a square foot. You'd be fired immediately. Hey, honey,

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Speaker 1: I'm thinking of upgrading to a new F one fifty.

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Speaker 1: Historically they cost forty three thousand dollars.

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Speaker 2: That would be an insane thing to do. It's like

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Speaker 2: me going to the closet and grabbing the medium shirt.

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Speaker 2: What do you think historically that would have fit? Yeah, oh,

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Speaker 2: that one hit a little close to home. So getting

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Speaker 2: back to the journal.

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Speaker 1: As the result, insurers are paying out a dollar nine

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Speaker 1: in expenses and claims for every dollar they collect in premiums.

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Speaker 1: This is financially unsustainable, which is many of why many

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Speaker 1: have paired coverage in areas with high fire risk and

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Speaker 1: expensive homes. State Farm dropped nearly seventy percent of policy

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Speaker 1: holders in one Pacific Palisades neighborhood. And just to get

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Speaker 1: to give you an idea of how well Gavin Newsom

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Speaker 1: is running California, that fair government sponsored insure of last

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Speaker 1: resort thing is for people who can't.

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Speaker 2: Get homeowner's insurance.

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Speaker 1: Its exposure has ballooned to four hundred and fifty eight

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Speaker 1: billion dollars as of last September, from a much lower

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Speaker 1: figure with six billion dollars exposure in Pacific Palisades alone,

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Speaker 1: six billion dollars. It has seven hundred million dollars on

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Speaker 1: hand to pay claims. They have six billion dollars in exposure.

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Speaker 1: They have seven hundred million dollars to pay claims. That's

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Speaker 1: because state regulators have required Fair to cover higher priced

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Speaker 1: homes while rejecting its proposals for rate increases to account

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Speaker 1: for rising risks for liabilities. Because the pandering politicians, including

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Speaker 1: Gavin Newsom have found these these ways to have completely

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Speaker 1: unrealistic regulations.

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Speaker 2: So they can say, and we kept.

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Speaker 1: Your insurance premiums lower, where they insurance companies want to

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Speaker 1: raise your rates. The insurance companies are all saying, yeah, goodbye,

439
00:23:58,000 --> 00:24:01,320
Speaker 1: We're out of this crazy fifty in the nation in

440
00:24:01,400 --> 00:24:03,399
Speaker 1: terms of business friendliness state.

441
00:24:05,720 --> 00:24:09,080
Speaker 2: I think the latest number is the overall cost for

442
00:24:09,119 --> 00:24:11,399
Speaker 2: the fires in LA. They expect to be ten billion dollars,

443
00:24:11,440 --> 00:24:14,680
Speaker 2: most expensive, worst tragedy in LA history. I'm sure that

444
00:24:14,760 --> 00:24:18,200
Speaker 2: number is going to go up. Well, be interesting to

445
00:24:18,200 --> 00:24:20,320
Speaker 2: see how this pans out. But yeah, the point of

446
00:24:20,359 --> 00:24:24,199
Speaker 2: this segment was you can't blame the insurance companies. You

447
00:24:24,280 --> 00:24:24,879
Speaker 2: really can't.

448
00:24:25,960 --> 00:24:27,520
Speaker 1: Right, you don't have to love them, but you can't

449
00:24:27,520 --> 00:24:29,719
Speaker 1: blame them for dropping people in California. By the way,

450
00:24:29,760 --> 00:24:33,440
Speaker 1: speaking of Gavy, the California Globe reporting that having listened

451
00:24:33,440 --> 00:24:35,399
Speaker 1: to an interview he did with NPR where he was

452
00:24:35,440 --> 00:24:38,639
Speaker 1: explaining how we're carefully taking care of the forests. He

453
00:24:39,000 --> 00:24:43,080
Speaker 1: talked about how many acres had been cleared and tended

454
00:24:43,119 --> 00:24:46,080
Speaker 1: and all. He exaggerated the actual number by six hundred

455
00:24:46,080 --> 00:24:47,000
Speaker 1: and ninety percent.

456
00:24:47,480 --> 00:24:50,919
Speaker 2: Wow. Yeah, he's a congenital liar. Kevin Newsom, we were

457
00:24:50,960 --> 00:24:53,480
Speaker 2: on the question earlier of how do you run out

458
00:24:53,480 --> 00:24:55,200
Speaker 2: of water when you're next to an ocean? Why can't

459
00:24:55,240 --> 00:24:57,960
Speaker 2: you use salt water as a system, and they do

460
00:24:58,000 --> 00:25:00,639
Speaker 2: in San Francisco to a great extent. We got a

461
00:25:00,880 --> 00:25:03,720
Speaker 2: long text from somebody in the know when San Francisco

462
00:25:03,720 --> 00:25:08,320
Speaker 2: about the way they do it. The system has been

463
00:25:08,520 --> 00:25:13,800
Speaker 2: in place for years. It's a proven system. It can

464
00:25:13,840 --> 00:25:15,840
Speaker 2: be done. It's kind of expensive and you got to

465
00:25:15,880 --> 00:25:17,760
Speaker 2: you know, you got to put in the infrastructure. But

466
00:25:18,119 --> 00:25:19,520
Speaker 2: in the Bay Area they've been doing it for a

467
00:25:19,520 --> 00:25:22,440
Speaker 2: long time. So that's a reasonable question. Is to hey,

468
00:25:22,720 --> 00:25:25,040
Speaker 2: specific palicides right by an ocean, why would we ever

469
00:25:25,080 --> 00:25:25,720
Speaker 2: run out of water?

470
00:25:26,400 --> 00:25:31,560
Speaker 1: Avowed Marxist Karen Bass. The mayor of la has preferred

471
00:25:31,560 --> 00:25:35,040
Speaker 1: to spend the money on bums and junkies and illegal immigrants.

472
00:25:35,240 --> 00:25:38,040
Speaker 1: So there's no money for, for instance, the fire department,

473
00:25:38,080 --> 00:25:41,800
Speaker 1: which has had its budget cut by almost eighteen million dollars. Yeah,

474
00:25:42,080 --> 00:25:46,240
Speaker 1: coming up much more amusing and believia it is some

475
00:25:46,320 --> 00:25:52,119
Speaker 1: particularly egregious examples of Facebook's fat checks. Well, they were

476
00:25:52,200 --> 00:25:54,520
Speaker 1: in that business prior to the recent announcement.

477
00:25:54,640 --> 00:25:58,160
Speaker 2: Hoping State tute you say it's funnier than insurance liability talk.

478
00:25:58,359 --> 00:26:01,040
Speaker 2: I don't know. I'll be the judge of that. Stay tuned.

479
00:26:04,920 --> 00:26:07,520
Speaker 2: Just to straighten this out, Notre Dames beat Penn State,

480
00:26:07,520 --> 00:26:11,280
Speaker 2: they will play the winner of Ohio State Texas for

481
00:26:11,400 --> 00:26:14,720
Speaker 2: the college football Final. That's Ohio State's the eight of

482
00:26:14,800 --> 00:26:18,000
Speaker 2: versus a five, and that was a seven versus a six.

483
00:26:18,520 --> 00:26:21,440
Speaker 2: So good job and picking who are the four best

484
00:26:21,560 --> 00:26:23,760
Speaker 2: teams to be in the playoffs.

485
00:26:23,840 --> 00:26:26,360
Speaker 1: I guess bell in Ohio State beat down the number one.

486
00:26:26,400 --> 00:26:29,360
Speaker 1: But part of it depends on which players decide to play. Yeah,

487
00:26:29,359 --> 00:26:30,160
Speaker 1: there's that whole thing.

488
00:26:31,040 --> 00:26:33,200
Speaker 2: Some teams half the players don't play in the bowl

489
00:26:33,200 --> 00:26:34,639
Speaker 2: game because they don't want to get hurt before they

490
00:26:34,640 --> 00:26:36,080
Speaker 2: go into the NFL. I don't know how they're going

491
00:26:36,160 --> 00:26:38,399
Speaker 2: to make this work, but not my problem. They're not.

492
00:26:39,840 --> 00:26:42,680
Speaker 1: I would do the same thing. Sorry, good old Alma Mater.

493
00:26:42,760 --> 00:26:44,639
Speaker 1: I'm here playing football for one reason, to get a

494
00:26:44,640 --> 00:26:45,679
Speaker 1: gig playing on Sundays.

495
00:26:45,680 --> 00:26:48,080
Speaker 2: I don't think you have Tiger Pride or whatever team

496
00:26:48,080 --> 00:26:48,440
Speaker 2: it is.

497
00:26:48,560 --> 00:26:51,160
Speaker 1: No, No, I don't. I'm getting a paycheck anyway, coming

498
00:26:51,240 --> 00:26:53,040
Speaker 1: up next hour. I keep promising it. We haven't gotten

499
00:26:53,040 --> 00:26:56,200
Speaker 1: in to it. Absolutely fabulous think piece on why Democrat

500
00:26:56,240 --> 00:27:00,600
Speaker 1: run cities go sideways. It's really thought provoked. And we'll

501
00:27:00,600 --> 00:27:01,360
Speaker 1: get to it an hour.

502
00:27:01,480 --> 00:27:01,680
Speaker 2: Four.

503
00:27:02,040 --> 00:27:05,120
Speaker 1: That's right, we do four hours. They've got us chained

504
00:27:05,160 --> 00:27:06,720
Speaker 1: up in here, they won't let us out, and nice

505
00:27:06,760 --> 00:27:08,560
Speaker 1: we do four. I know we signed a new contract,

506
00:27:08,600 --> 00:27:11,800
Speaker 1: but was that in the contract? Yeah, well over mine

507
00:27:11,920 --> 00:27:16,119
Speaker 1: dead bunny. Well it happened anyway. If you don't get it,

508
00:27:16,119 --> 00:27:18,640
Speaker 1: grab it later via podcast subscribed to Armstrong you get

509
00:27:18,720 --> 00:27:20,880
Speaker 1: on demand. It's a trust me when I say it's

510
00:27:20,960 --> 00:27:25,159
Speaker 1: really interesting. Mark Zuckerbridge just announced the other day that

511
00:27:25,240 --> 00:27:27,840
Speaker 1: he's rediscovered his love of free speech and Facebook is

512
00:27:27,880 --> 00:27:32,520
Speaker 1: going to get out of the fact checking business. A

513
00:27:32,640 --> 00:27:37,400
Speaker 1: number of learned commentators have commented on this, including ourselves,

514
00:27:38,880 --> 00:27:41,520
Speaker 1: good folks at the good folks at Breitbart, compiling a

515
00:27:41,600 --> 00:27:46,400
Speaker 1: list of six absolutely despicable acts of censorship that Mark

516
00:27:46,480 --> 00:27:50,680
Speaker 1: Zuckerberg and Facebook foisted upon the world. Run through those

517
00:27:50,720 --> 00:27:53,280
Speaker 1: really quickly, then we'll get to the funny stuff. Number one,

518
00:27:53,400 --> 00:27:55,680
Speaker 1: hiding the story on Hunter Biden's laptop from hell.

519
00:27:55,880 --> 00:27:58,520
Speaker 2: Obbs, that's one of the worst journalistic things ever.

520
00:27:59,280 --> 00:28:02,399
Speaker 1: All right, I'll though all those current and former intelligence

521
00:28:02,440 --> 00:28:05,159
Speaker 1: officials ought to be shouted out on the street for

522
00:28:05,359 --> 00:28:09,359
Speaker 1: lying like they did two creating the leftist fact checker

523
00:28:09,400 --> 00:28:13,280
Speaker 1: industry in the first place, Meta infamously deployed third party

524
00:28:13,320 --> 00:28:16,480
Speaker 1: fact checkers to both Facebook and Instagram, putting users content

525
00:28:16,560 --> 00:28:19,000
Speaker 1: visibility in the hands of people who flagg post based

526
00:28:19,040 --> 00:28:23,199
Speaker 1: on their opinions rather than any facts. The vast majority

527
00:28:23,240 --> 00:28:26,919
Speaker 1: of these fact checkers displayed extreme lefty bias, lying Zuckerberg's

528
00:28:26,920 --> 00:28:29,480
Speaker 1: platforms to diminish the reach of stories often based on

529
00:28:29,560 --> 00:28:33,520
Speaker 1: astenine or completely incorrect fact checks, including many many things

530
00:28:33,560 --> 00:28:36,160
Speaker 1: that turned out to be very true. They dropped Donald

531
00:28:36,160 --> 00:28:40,600
Speaker 1: Trump's engagement by forty five percent in twenty eighteen because

532
00:28:40,600 --> 00:28:42,480
Speaker 1: he was a Russian stooge.

533
00:28:43,160 --> 00:28:48,000
Speaker 2: Wozy there algorithms. Wow, that's unbelievable at that time sitting

534
00:28:48,040 --> 00:28:49,320
Speaker 2: president of the United States.

535
00:28:50,320 --> 00:28:53,640
Speaker 1: After January sixth was which was admittedly an awful day,

536
00:28:54,280 --> 00:28:59,280
Speaker 1: they banned President Trump completely, and their self righteous screen

537
00:28:59,400 --> 00:29:01,040
Speaker 1: on why they did it is a little long.

538
00:29:01,120 --> 00:29:02,120
Speaker 2: We don't have time.

539
00:29:04,480 --> 00:29:06,719
Speaker 1: We believe the public has the right to the broadest

540
00:29:06,720 --> 00:29:09,800
Speaker 1: possible access to political speech, even controversial speech. But we

541
00:29:10,000 --> 00:29:12,800
Speaker 1: believe the risks of allowing the president to continue to

542
00:29:12,880 --> 00:29:15,640
Speaker 1: use our service during this period are simply too great.

543
00:29:16,480 --> 00:29:19,040
Speaker 1: I believe in Trump until February twenty three.

544
00:29:19,240 --> 00:29:21,800
Speaker 2: That's it. I have statements like that. I believe in blue,

545
00:29:21,800 --> 00:29:23,360
Speaker 2: but we're going to do red. Okay.

546
00:29:24,760 --> 00:29:29,520
Speaker 1: They unpersoned regular people for misinformation. Shortly after banning Trump,

547
00:29:29,520 --> 00:29:32,600
Speaker 1: Facebook turns its focus on to his followers, regular Facebook users.

548
00:29:32,960 --> 00:29:37,040
Speaker 1: Zuckerberg's company vowed to ban anyone caught spreading content deemed misinformation,

549
00:29:37,200 --> 00:29:40,240
Speaker 1: despite the social media giant and its army of opinionated

550
00:29:40,280 --> 00:29:43,840
Speaker 1: leftist facts checkers struggling with the definition of that word.

551
00:29:44,840 --> 00:29:49,160
Speaker 1: And then they killed the reach of political content just

552
00:29:49,240 --> 00:29:51,680
Speaker 1: in the name of something or other because politics is

553
00:29:51,720 --> 00:29:54,720
Speaker 1: too scary or controversial or something, and so they just

554
00:29:54,920 --> 00:29:59,560
Speaker 1: quashed it in general, although again there was favoritism moving

555
00:29:59,560 --> 00:30:02,320
Speaker 1: along SWI. The good folks at the Free Beacon pointed

556
00:30:02,320 --> 00:30:06,640
Speaker 1: out that they were corrected several times by Zuckerberg's fact

557
00:30:06,680 --> 00:30:11,840
Speaker 1: checkers as checkers. In one case, the ex meta leader

558
00:30:12,120 --> 00:30:16,640
Speaker 1: FactCheck dot Org said, we falsely accused Joe Biden of

559
00:30:16,680 --> 00:30:20,360
Speaker 1: having issues with a teleprompter. That was the quote because

560
00:30:20,360 --> 00:30:24,080
Speaker 1: a White House press official said the octagenarians incoherent nonsense

561
00:30:24,160 --> 00:30:28,560
Speaker 1: was intentional, so the fact that he had issues with

562
00:30:28,600 --> 00:30:29,480
Speaker 1: the teleprompter was.

563
00:30:30,400 --> 00:30:33,800
Speaker 2: Labeled as untrue. That was probably one of those repeat

564
00:30:33,800 --> 00:30:35,680
Speaker 2: the lines or something like that.

565
00:30:37,120 --> 00:30:42,080
Speaker 1: In another case, Alan Duke, who was the head of

566
00:30:44,440 --> 00:30:47,200
Speaker 1: one of the fact checking organizations, a former CNN producer

567
00:30:47,160 --> 00:30:51,200
Speaker 1: who's donated thousands of dollars to Democrats exclusively called our

568
00:30:51,200 --> 00:30:54,720
Speaker 1: reporting on the Biden administration plans to fund crack pipes

569
00:30:55,040 --> 00:30:59,520
Speaker 1: partially false because the administration backpedaled after we published our piece.

570
00:31:01,960 --> 00:31:05,160
Speaker 1: At best, many of these fact checks offered an alternative opinion.

571
00:31:05,360 --> 00:31:08,240
Speaker 1: At worst, they facilitated the spread of disinformation my government

572
00:31:08,240 --> 00:31:11,160
Speaker 1: officials and aided their efforts to discredit and silence the

573
00:31:11,200 --> 00:31:14,480
Speaker 1: handful of news outlets actually interested in holding them accountable.

574
00:31:14,680 --> 00:31:17,240
Speaker 1: They will not be missed, and we hope they enjoy

575
00:31:17,360 --> 00:31:18,280
Speaker 1: learning to code.

576
00:31:19,080 --> 00:31:21,800
Speaker 2: So you said earlier you think Mark Zuckerberg might be

577
00:31:21,880 --> 00:31:24,920
Speaker 2: an actual free speech warrior. So you think that maybe

578
00:31:24,920 --> 00:31:27,520
Speaker 2: he just was just a business decision. The federal government

579
00:31:27,600 --> 00:31:29,640
Speaker 2: was making noises that they were going to make life

580
00:31:29,680 --> 00:31:32,680
Speaker 2: hard for him if he did this, So he did that.

581
00:31:33,680 --> 00:31:37,160
Speaker 1: Yeah, and there is so little precedent on how modern

582
00:31:37,320 --> 00:31:41,720
Speaker 1: tech ought to be regulated. They're very, very sensitive to

583
00:31:42,640 --> 00:31:45,000
Speaker 1: the you know, a bunch of old senators and congressmen

584
00:31:45,040 --> 00:31:47,120
Speaker 1: waiting into it and doing the wrong thing and screwing

585
00:31:47,160 --> 00:31:50,120
Speaker 1: their business. So yeah, just as he's cow tewing to

586
00:31:50,160 --> 00:31:54,840
Speaker 1: Donald Trump and nakedly seeking you know, friendly policy and

587
00:31:54,920 --> 00:31:58,160
Speaker 1: friendly ness from Donald Jay right now, he did the

588
00:31:58,200 --> 00:31:59,600
Speaker 1: same with the Biden administration.

589
00:32:00,360 --> 00:32:01,800
Speaker 2: It just wasn't publicized.

590
00:32:02,040 --> 00:32:04,920
Speaker 1: Every time somebody goes to have lunch with Trump, the

591
00:32:04,960 --> 00:32:07,040
Speaker 1: mainstream media acts like it's a big deal and that

592
00:32:07,040 --> 00:32:10,200
Speaker 1: they're licking his boots. These guys did the same thing

593
00:32:10,200 --> 00:32:12,680
Speaker 1: with the Biden administration. You just didn't hear about it.

594
00:32:13,040 --> 00:32:14,280
Speaker 2: Anyway. I wanted to get to this.

595
00:32:15,840 --> 00:32:18,920
Speaker 1: Seth Dylon and the geniuses at the Babylon b with

596
00:32:20,160 --> 00:32:22,680
Speaker 1: in honor of Facebook ending is fact checking partnerships. Here

597
00:32:22,680 --> 00:32:27,120
Speaker 1: are the funniest fact checks of Babylon b jokes. Number one,

598
00:32:28,360 --> 00:32:32,959
Speaker 1: the headline was CNN purchase purchases industrial sized washing machine

599
00:32:33,000 --> 00:32:37,640
Speaker 1: to spin news before publication, and it was actually fact

600
00:32:37,680 --> 00:32:40,880
Speaker 1: checked by Snopes and Facebook, who threatened us with suppression

601
00:32:40,920 --> 00:32:44,760
Speaker 1: and demonetization for sharing false information a classic.

602
00:32:45,440 --> 00:32:48,920
Speaker 2: You can't actually wash news, and there would not be

603
00:32:48,960 --> 00:32:50,520
Speaker 2: a washing machine big enough to do it.

604
00:32:50,960 --> 00:32:55,000
Speaker 1: A page you administer recently posted the link CNN purchases

605
00:32:55,040 --> 00:32:57,960
Speaker 1: industrial sized washing machines blah blah blah that contains info

606
00:32:58,040 --> 00:33:01,320
Speaker 1: disputed by Snopes dot com and independent facher. Repeat offenders

607
00:33:01,320 --> 00:33:04,000
Speaker 1: will see their distribution reduced and their ability to monetize

608
00:33:04,000 --> 00:33:10,000
Speaker 1: and advertise removed. While you outlawed satire, second fact check

609
00:33:10,080 --> 00:33:14,040
Speaker 1: by Facebook on the Babylon B the headline Acassio Cortes

610
00:33:14,040 --> 00:33:17,760
Speaker 1: appears on the price is Right guesses everything is free.

611
00:33:21,240 --> 00:33:22,400
Speaker 2: Oh my god.

612
00:33:23,040 --> 00:33:25,600
Speaker 1: Thank you to the brave fact checkers that Snopes for

613
00:33:25,680 --> 00:33:28,120
Speaker 1: calling us out on this one. Otherwise people might have

614
00:33:28,200 --> 00:33:35,880
Speaker 1: been fooled. The fact check was false. Number three Ninth

615
00:33:35,880 --> 00:33:40,600
Speaker 1: Circuit Court overturns death of Ruth Bader Ginsburg. That's a

616
00:33:40,640 --> 00:33:43,760
Speaker 1: great shot at the ninth USA Today, Another one of

617
00:33:44,000 --> 00:33:47,800
Speaker 1: Facebook's fact checking partners helpfully pointed out that this was satire,

618
00:33:48,400 --> 00:33:51,240
Speaker 1: fact checking the satirical claim that the Ninth Circuit Court

619
00:33:51,240 --> 00:33:54,840
Speaker 1: of Appeals overturned Ginsburg's death. Wait a second, now, on

620
00:33:54,880 --> 00:33:57,160
Speaker 1: the AOC one, you could at least make the argument

621
00:33:57,240 --> 00:34:01,760
Speaker 1: that some really dumb people might believe. That is somebody

622
00:34:01,760 --> 00:34:03,600
Speaker 1: gonna believe a court overturned to death.

623
00:34:04,840 --> 00:34:05,200
Speaker 2: I know.

624
00:34:05,880 --> 00:34:09,879
Speaker 1: It's it's almost as if the thea the parody the

625
00:34:09,960 --> 00:34:12,680
Speaker 1: fact check is itself a parody or the fact check

626
00:34:12,680 --> 00:34:16,799
Speaker 1: ID we're through the looking glass airpeople. Let's see, here's

627
00:34:16,800 --> 00:34:21,120
Speaker 1: another headline that was helpfully fact checked with moonwater announcement.

628
00:34:21,200 --> 00:34:23,520
Speaker 1: Remember when they discovered there's probably ice on the moon water,

629
00:34:23,560 --> 00:34:28,800
Speaker 1: therefore water With moonwater announcement, Trump proposes space Navy. Another

630
00:34:28,920 --> 00:34:32,440
Speaker 1: fact check from USA Today. Guys, you can also tell

631
00:34:32,480 --> 00:34:35,080
Speaker 1: it satire because if you look really closely, you'll see

632
00:34:35,080 --> 00:34:37,680
Speaker 1: there's a picture of an aircraft carrier on the moon,

633
00:34:39,200 --> 00:34:43,919
Speaker 1: and there is in this story, uh, the fact check

634
00:34:43,960 --> 00:34:45,759
Speaker 1: a headline on the babel of me Trump, I have

635
00:34:45,840 --> 00:34:49,440
Speaker 1: done more for Christianity than Jesus. In our defense, we

636
00:34:49,480 --> 00:34:52,200
Speaker 1: wrote this before he actually said something uncomfortably close to

637
00:34:52,760 --> 00:34:53,200
Speaker 1: gonna say.

638
00:34:53,280 --> 00:34:55,360
Speaker 2: If I saw that, I wouldn't jump to the conclusion

639
00:34:55,400 --> 00:34:56,240
Speaker 2: that that was satire.

640
00:34:57,160 --> 00:35:00,120
Speaker 1: Other example, Pope Francis says COVID vaccine will now we

641
00:35:00,200 --> 00:35:01,360
Speaker 1: required to answer heaven.

642
00:35:01,680 --> 00:35:03,400
Speaker 2: They were fact checked by Reuters.

643
00:35:06,680 --> 00:35:11,120
Speaker 1: Oh and finally, California considering tax on breathing. Snopes found

644
00:35:11,160 --> 00:35:13,600
Speaker 1: this false, but we're pretty sure it's true.

645
00:35:14,400 --> 00:35:17,840
Speaker 2: Wow, that's a good one. AOC guesses everything's free. That's hilarious.

646
00:35:17,920 --> 00:35:20,320
Speaker 2: If you miss an hour, get the podcast Armstrong and

647
00:35:20,400 --> 00:35:21,440
Speaker 2: Getty on demand.

648
00:35:21,960 --> 00:35:24,880
Speaker 4: Subscribe Armstrong and Getty