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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 and Joe Getty.

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Speaker 2: Armstrong and Jetty Armstrong and Getty. According to the.

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Speaker 3: White House zappers, while visiting Donald Trump in the Oval Office,

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Speaker 3: Elon Musk's four year old needed a diaper change. Luckily

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Speaker 3: there was plenty left over from the previous tenant.

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Speaker 2: Yeah, that was that ten? I asked for ten? Was

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Speaker 2: that joke?

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Speaker 1: Ten?

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Speaker 2: That was on joke? Ten? Huh?

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Speaker 1: Okay, my joke TenneT joke was a ten out of ten.

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Speaker 1: My Joe Pye was in continent? Is the point?

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Speaker 2: My joke? Ten? Is Bill Maher Kanye West is getting

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Speaker 2: a divorce? Is that joke? Ten?

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Speaker 1: Okay?

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Speaker 2: Well, here I have that joke.

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Speaker 1: That's it.

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Speaker 4: Marriage is over, Biancusen sorry, and Kanye West of cold

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Speaker 4: it quits. I I just hope this doesn't make Kanye

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Speaker 4: do something stupid. Yeah, apparently it was. It was a

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Speaker 4: while in coming. Try can I try to be sensitive?

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Speaker 4: You said to her, it's not you, it's not me,

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Speaker 4: it's the Jews.

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Speaker 2: Wow, that's pretty funny. It's not you, it's not me,

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Speaker 2: it's the Jews.

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Speaker 1: Kanye, It's so crazy. I hadn't heard that they're getting

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Speaker 1: a divorce.

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Speaker 2: So a week after she's naked looking like a hostage

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Speaker 2: at the Grammys, they're getting a divorce. Her played a

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Speaker 2: role in any way.

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Speaker 1: Yeah. Plus I heard something she's not down with the

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Speaker 1: anti Semitism at all. And I hadn't understood exactly how

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Speaker 1: that quote unquote super Bowl out of his got on

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Speaker 1: where he rambles and says, go to my website. Then

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Speaker 1: the only product that his website is a swastika T shirt.

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Speaker 1: He had an ad agency by a local Super Bowl

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Speaker 1: spot in every market he could around America, so Big

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Speaker 1: Fox didn't air it. It was just on. I can't

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Speaker 1: remember many dozens of local markets around America, that crazy

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Speaker 1: ass commercial of his. And he's, man, is he headed

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Speaker 1: for a big crack up?

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Speaker 2: Well with what goal? Or do you just think he's

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Speaker 2: actually nuts?

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Speaker 1: Oh, he's got to just be nuts. I mean it

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Speaker 1: could be he's an obsessive anti Semite in the vein

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Speaker 1: of a certain Chancellor of Germany.

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Speaker 2: But well, I don't think that's clearly nuts. I mean

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Speaker 2: I could be wrong, but I don't think that's it.

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Speaker 2: I don't he wants he wants people to be mad

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Speaker 2: at him. He's got some sort of childish upset doing

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Speaker 2: things to make people not like him so he can

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Speaker 2: say people don't like him thing going. I mean, like

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Speaker 2: his tweet about his tweet about I turned down three

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Speaker 2: make a Wish kids and wheelchairs this week. I mean,

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Speaker 2: he just he just wants people to be upset with

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Speaker 2: him for some sad reason, and that he hasn't killed

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Speaker 2: himself already is shocking to me. I think that's going

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Speaker 2: to be a headline in my lifetime.

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Speaker 1: But as usual, when you're talking about something like this,

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Speaker 1: trying to come up with a rational explanation for crazy,

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Speaker 1: you just you can't.

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Speaker 2: He might be the richest mentally ill person in the world,

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Speaker 2: and then can you know, kind of get away with it.

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Speaker 1: Yeah, I was just thinking the same thing. I mean,

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Speaker 1: if he were not independently wealthy, he would be living

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Speaker 1: in a box somewhre absolutely just yeah, yeah, too bad, folks.

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Speaker 1: Be grateful for your mental health to the extent that

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Speaker 1: you have. Any Ah, So a headful of AI related

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Speaker 1: stories that I found very interesting as we move further

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Speaker 1: and further into this world. I've actually been using it

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Speaker 1: a bit more in last week, partly because Apple updated

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Speaker 1: their software, and I've had a couple of searches that

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Speaker 1: they needed to use chat GPT to help with and

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Speaker 1: it's been quite impressive, really, so I'm feeling more and

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Speaker 1: more like at least I understand how some of it works.

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Speaker 1: But anyway, a story number one is they did a

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Speaker 1: couple of universities got together did a series of experiments

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Speaker 1: where they were they had to volunteers pose as drone

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Speaker 1: pilots making kill or no kill, shoot or no shoot decisions.

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Speaker 1: And they would, you know, up the ante by showing

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Speaker 1: them pictures of civilians hurt and killed by drone strikes

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Speaker 1: and buildings damage and stuff like that. They made it

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Speaker 1: as impactful as they could in a research setting. And

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Speaker 1: you know, it's too bad this this article is written

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Speaker 1: with way too much editorial, so I'll just summarize it

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Speaker 1: for you. People seemed very willing to overcome their own thinking,

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Speaker 1: or over turn their own thinking if the AI system

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Speaker 1: said I disagree, even if it had been made infinitely

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Speaker 1: clear to them that the AI system is unsophisticated and

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Speaker 1: it makes mistakes. But they seemed in large numbers to

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Speaker 1: defer to the computer, and amusingly, they tried it with

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Speaker 1: like a primitive robot saying I would go ahead and

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Speaker 1: shoot at them, and then turning very robotically. Then they

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Speaker 1: used did a more sophisticated humanoid like robot, and then

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Speaker 1: they just did a simple computer interface to suit that

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Speaker 1: changed it, and it did a little bit.

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Speaker 2: So the human psychology of this AI side is interesting.

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Speaker 2: So that's it's like the famous trolley car problem. You

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Speaker 2: will say, go ahead and run over the person if

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Speaker 2: if something tells you to, if a supposed expert tells you.

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Speaker 1: To, yeah, even if somebody makes clear to you, hey,

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Speaker 1: this expert is wrong a fair amount. And the way

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Speaker 1: they this experiment was they would show them pictures very

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Speaker 1: quickly of their target, and that often included the symbol

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Speaker 1: of either your side or the other side, either the

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Speaker 1: Ukrainian flag or the Russian Z for instance, and and

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Speaker 1: say shoot or don't shoot. And even though they'd programmed

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Speaker 1: the AI to be random in its decisions so it

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Speaker 1: was wrong as much as it was right, the people

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Speaker 1: would refer to it in large numbers. So anyway, I

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Speaker 1: just thought that was kind of interesting. We tend well,

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Speaker 1: certain people tend to be very easily led, whether it's

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Speaker 1: a human being or a technical beast like AI.

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Speaker 2: Well, I guess that that explains the whole, not on

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Speaker 2: purpose to get back to Germans and Nazi things, but

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Speaker 2: the whole, the whole. I was just following orders thing.

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Speaker 2: I guess that fits in with that. You're you're willing

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Speaker 2: to do lots of things if somebody tells you to yeah,

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Speaker 2: an expert tells you to yeah.

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Speaker 1: To refer to a very famous parable, I guess it

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Speaker 1: is about how among human beings there are sheep, there

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Speaker 1: are wolves, there are sheep dogs, and the masses of

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Speaker 1: folks are a little sheepy. And you know, you could

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Speaker 1: be insulting about that and call them sheeple and stuff

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Speaker 1: like that, and I have in the past. But if

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Speaker 1: that is the way most people are at some point,

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Speaker 1: you have to realize that and be a realist about it.

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Speaker 1: Founding Fathers work. That's why the designed so many checks

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Speaker 1: and balances against somebody seizing dictatorial powers, because a lot

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Speaker 1: of sheeple want a dictator because it's simple and they

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Speaker 1: know what they're supposed to do in a dictatorship. Anyway,

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Speaker 1: Another quick artificial intelligence story. New study shows that over

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Speaker 1: aliance on artificial intelligence to perform certain tasks reduces critical thinking.

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Speaker 1: Study conducted by Carnegie, Mellen and Microsoft who is working

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Speaker 1: as hard as they can to get AI going, found

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Speaker 1: that people who use AI regularly for basic routine tasks

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Speaker 1: will lose their ability for complex critical thinking. From social

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Speaker 1: workers to people who write code for a living, the

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Speaker 1: professional surveyed, We're all asked to share real life examples,

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Speaker 1: and the blah blah blah. The methodology is not that

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Speaker 1: interesting and it's long. But of course, if you know,

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Speaker 1: if I have a machine to shovel snow for me,

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Speaker 1: my snow shoveling muscles are going to get less strong.

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Speaker 1: And it's true intellectually too. Well.

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Speaker 2: I don't know if this fits in with my example

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Speaker 2: of it. I'm still the only person I've heard say this.

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Speaker 2: I want to get it. I want to say it

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Speaker 2: again because I want credit for it when it becomes

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Speaker 2: a big thing, because I do think it's going to

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Speaker 2: be a big thing. I'm a worst driver now because

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Speaker 2: of the automatic driving in my Tesla. When I'm in

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Speaker 2: my car without it, I'm not as I just don't

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Speaker 2: pay as good attention because I got in the habit

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Speaker 2: of something paying attention for me. Yeah, And I think

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Speaker 2: that's why I had my motorcycle wreck because I'm just

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Speaker 2: I'm it happens so quickly that my brain got retrained

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Speaker 2: when I'm driving that I don't need to pay attention.

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Speaker 2: There's a computer paying attention for me.

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Speaker 1: Yeah. I think that's undeniable, and that's going to become

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Speaker 1: a real problem nationwide. There aren't enough people driving cars

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Speaker 1: that have that technology yet, I guess. But similar sort

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Speaker 1: of thing.

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Speaker 2: When something else can do it for you, you atrophy amazingly quickly.

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Speaker 2: Apparently all of us.

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Speaker 1: Have had the experience of like spacing off behind the wheel,

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Speaker 1: and you'd like startle and you think, oh god, no,

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Speaker 1: I got to pay attention. I gotta pay attention. If

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Speaker 1: you systematically get trained, no, it's okay to space Offah. Yeah,

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Speaker 1: that's going to change your metal approach of course. Yeah.

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Speaker 1: So a couple of quick words from the summary of

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Speaker 1: this article, and then we will get to the funny

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Speaker 1: AI story, or at least ironic. Researchers wrote in the

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Speaker 1: paper that AI can result in the deterioration of cognitive

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Speaker 1: faculties that ought to be preserved.

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Speaker 2: Quote.

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Speaker 1: A key irony of automation is that by mechanizing routine

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Speaker 1: tasks and leaving exception handling to the human user. You

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Speaker 1: deprive the user of the routine opportunities to practice their

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Speaker 1: judgment and strengthen their cognitive musculature, leaving the matrophied and

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Speaker 1: unprepared when the exceptions do arid.

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Speaker 2: I think that's exactly what happened with the driving. It's

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Speaker 2: just it happens with everything apparently that we use AI for.

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Speaker 1: Wow, this reminds me of that internal study that Facebook

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Speaker 1: did that said, Hey, this stuff's addictive and it'll wreck

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Speaker 1: your minds. Don't let your kids do this anyway. Let's

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Speaker 1: keep marketing to the suckers anyway. That's striking, especially because

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Speaker 1: Microsoft is involved. So a quick word again from our

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Speaker 1: feature about California versus Florida and policy and homeowners insurance.

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Speaker 1: It is quite a striking difference. Anyway. All State Insurance

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Speaker 1: was using AI models to write responses to letters speak

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Speaker 1: in emails because they get zillions of them from customers,

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Speaker 1: and All State is discovering these soulless, generative AI models

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Speaker 1: made up entirely of data and code, are more empathetic

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Speaker 1: than many of its human representatives.

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Speaker 2: Wow.

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Speaker 1: The insurer said that during the often frustrating back and

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Speaker 1: forth between customers and claim reps after a claim is filed,

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Speaker 1: nearly all of the All State emails are now generated

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Speaker 1: by AI, and that as a result, they are less

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Speaker 1: accusatory and jargony and more empathetic than the humans.

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Speaker 2: That's interesting.

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Speaker 1: All States using open eyes GPT model for what it's worth. Quote,

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Speaker 1: when these emails used to go out, even though we

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Speaker 1: had standards and so on, they would include a lot

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Speaker 1: of insurance jargon. They weren't very empathetic, claims would claims

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Speaker 1: agents would get frustrated, and so it wasn't necessarily great

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Speaker 1: communications said their chief information officer.

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Speaker 2: That's interesting. So have you found yourself doing this now

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Speaker 2: that Google has the little AI summary at the top

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Speaker 2: whenever you search anything. I've been using that a lot,

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Speaker 2: and I don't almost exclusively, and I don't scroll down

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Speaker 2: to check other things. I go with the little AI

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Speaker 2: summary and assume it's right. I guess far superior.

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Speaker 1: Yeah, but you know, I'm not sure I'd say I

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Speaker 1: assume it's right, but it's it's helpful. It's what I

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Speaker 1: was looking for way, way, way more often than the

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Speaker 1: useless just Google.

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Speaker 2: So yeah, it's succinct and it Yeah, that's something, and

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Speaker 2: it'll get a lot better, I assume. With allso, with

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Speaker 2: all the dangers of it choosing what it wants you

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Speaker 2: to see inherent to the problem. We got a lot

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Speaker 2: more on the waist here.

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Speaker 5: And when you're trying to make that decision, do I

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Speaker 5: feel safe flying? And I do very much. So there's

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Speaker 5: no trend. There's nothing that ties these accidents together. So

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Speaker 5: using critical thinking, you can say for yourself, do all

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Speaker 5: of these things indicate some kind of trend in aircraft accidents?

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Speaker 5: And to me, as an experienced investigator and being involved

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Speaker 5: in aviation as a mechanic and as a safety inspector

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Speaker 5: for the FAA. I'm perfectly I feel perfectly safe doing this.

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Speaker 5: I don't see anything tying these together that says, oh,

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Speaker 5: the FAA's bad or the system is a problem. So

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Speaker 5: you got that plane landed in Canada on its upside down,

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Speaker 5: which she's not supposed to do.

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Speaker 2: Somebody should have told the pilot. And I had a

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Speaker 2: number of people in my real life, because this is

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Speaker 2: three and a couple of weeks, say what's going on

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Speaker 2: with flying? And that guy's saying, nothing's going on with flying.

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Speaker 2: So there you go.

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Speaker 1: Yeah, yeah, that's a real test of our ability to

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Speaker 1: be rational as human beings. Since it just keeps popping up,

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Speaker 1: you start to think maybe something's going on.

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Speaker 2: Right. We mentioned this last week a little follow up

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Speaker 2: on the asteroid that might hit the Earth in twenty

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Speaker 2: thirty two. So they have spotted an asteroid way out

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Speaker 2: there in outer space that is headed to Horde Earth,

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Speaker 2: but it's so far away that it's difficult to nail

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Speaker 2: down exactly where it's going to pass by. I mean,

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Speaker 2: just imagine the tiniest bit of being off and measuring

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Speaker 2: it from that far away would over that many gazillion

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Speaker 2: miles turn into a pretty wide space. But it has

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Speaker 2: a watch.

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Speaker 1: Don't look up. I know how the process works.

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Speaker 2: It has a two percent chance of hitting Earth in

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Speaker 2: twenty thirty two, and as you said the other day,

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Speaker 2: a one in fifty chance, ain't nothing. One in fifty

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Speaker 2: of it hit and Earth. So this particular asteroid is

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Speaker 2: forty to ninety meters wide, they do know that, which

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Speaker 2: is what the length of a football field.

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Speaker 1: Yeah, roughly.

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Speaker 2: The thing that hit in the Yukton Peninsula that wiped

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Speaker 2: out the dinosaurs was several kilometers, so is much bigger

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Speaker 2: than that. So this isn't a wipes out Earth, wipes

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Speaker 2: out human beings sort of asteroid. But it would would

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Speaker 2: be a heck of a big deal wherever it hit,

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Speaker 2: really big deal. And I don't know do we currently

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Speaker 2: have the technology to intercept that. If fat is it

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Speaker 2: gets closer, because that's seven years from now. As it

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Speaker 2: gets closers, we I'm sure the one in fifty will

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Speaker 2: get narrowed down as it gets closer. Just the math

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Speaker 2: will get easier and if they can determine. Look, we

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Speaker 2: got like an eighty percent chances is going to hit Earth.

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Speaker 2: We got to intercept it right. With our modern technology.

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Speaker 1: I would think we'd be able to nudge it successfully

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Speaker 1: enough that it would move the Earth. But I've read

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Speaker 1: scientists talking about this. How if it was say, aimed

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Speaker 1: right in the middle of the Pacific Ocean, and and

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Speaker 1: you came along as Nassa and said, now we think

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Speaker 1: we can nudge it so it doesn't hurt it hit

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Speaker 1: the earth completely. We'll be nudging it eastward a long way,

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Speaker 1: and all the countries eastward not a long way like

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Speaker 1: you know whatever. Actually that would be the United States udge.

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Speaker 2: We'll say, nudge it into China.

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Speaker 1: Let's go with westward for the sake of the argument.

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Speaker 1: So we say, no, we're going to nudget so far

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Speaker 1: west it doesn't even hit the earth. And all the

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Speaker 1: countries of the west, China, India, you know, Russia, Europe

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Speaker 1: are like, no, you're not nudging it west. How about

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Speaker 1: you nudge Niche.

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Speaker 2: So China sends up their spaceship, we send up our spaceship,

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Speaker 2: and we're on both sides of the asteroid trying to

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Speaker 2: push a different directions.

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Speaker 1: Oh no, wrestling in space. It's gonna be an interesting

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Speaker 1: media a death Come do your work.

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Speaker 2: And what what how much time I got, Michael, I've

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Speaker 2: got my biggest complaint of the weekend. Starbucks has changed

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Speaker 2: their lids, and I'm outraged. They got rid of their

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Speaker 2: plastic lids to be good for the earth, and they've

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Speaker 2: got these paper lids now that you can't put a

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Speaker 2: stopper in. He used to be able to put a

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Speaker 2: little plastic stopper and so he could ride in your

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Speaker 2: car and it doesn't spill. You can't do that anymore

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Speaker 2: with their dumb paper lids. So that's the I emailed

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Speaker 2: several people in Ukraine and told them how upset I was.

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Speaker 1: Have Trump step in. He got rid of the paper straws.

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Speaker 1: Maybe you can get rid of this garbage Starbucks.

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Speaker 2: I hate your paper lids. You suck.

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Speaker 1: Make coffee great again, exactly.

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Speaker 2: Some really disturbing news about the budget so far this

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Speaker 2: fiscal year that everybody should be paying attention to, but

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Speaker 2: nobody is. Among other things we can talk about. I

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Speaker 2: hope you can stay.

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Speaker 1: Here, Armstrong and Getty. People are really scared.

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Speaker 6: I think that you know, twelve days ago, people knew

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Speaker 6: where their next paycheck was coming from. They knew how

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Speaker 6: they were going to pay for their kids' take care,

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Speaker 6: their medical bills, and then all gone overnight.

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Speaker 2: I'm trying to make it clear that I'm not happy

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Speaker 2: that this person is wondering where they're going to get

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Speaker 2: their next paycheck or how they're going to survive, because

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Speaker 2: you know, we most of us have been there at

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Speaker 2: some point in our lives. But the fact that these

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Speaker 2: government workers are unaware that the private sector lives this

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Speaker 2: way all the time is amazing to me.

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Speaker 1: Yeah, they're in a different kind of bubble than the

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Speaker 1: one we usually talk about. I would call it an

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Speaker 1: employment reality bubble. They don't understand that the vast majority

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Speaker 1: the world strikes that bargain. Yeah, our production, our skill,

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Speaker 1: our value to the company will be high enough that

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Speaker 1: they keep us until it's not. Then we got to

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Speaker 1: find another gig.

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Speaker 2: So let's play the intro from sixty minutes on this

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Speaker 2: story last night. This was their first story about DOGE

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Speaker 2: cutting USAID and all that sort of stuff yesterday.

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Speaker 1: And enjoy the foreboding language used by Scott Pelly.

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Speaker 7: It's too soon to tell how serious President Trump is

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Speaker 7: in defiance of the Constitution. In his first twenty eight days,

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Speaker 7: he signed an order to nullify birthright citizenship for some

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Speaker 7: a right guaranteed by the fourteenth Amendment, and he has

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Speaker 7: closed agencies and frozen spending that Congress mandated by law.

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Speaker 7: Lower courts are holding up many of the president's priorities,

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Speaker 7: but nothing has risen to the Supreme Court, where these

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Speaker 7: battles over presidential power could rewrite history. Presidents often push

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Speaker 7: limits FDR's New Deal, for example, and voters in this

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Speaker 7: last election wanted change, but the scope and speed of

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Speaker 7: Trump's reach for power may be unprecedented. One example is

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Speaker 7: a sixty three year old agency created by Congress, codified

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Speaker 7: in law, and eviscerated by Trump in a matter of days.

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Speaker 2: Oh, it's an interesting reach for power that you're trying

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Speaker 2: to shrink the government.

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Speaker 1: Oh yeah, yeah. And the idea that the fourteenth Amendment

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Speaker 1: thing is clearly unconstitutional and he knows it and everybody

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Speaker 1: knows it. And how shutting down USA temporarily when you

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Speaker 1: reassess how it projects American power broad is somehow just

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Speaker 1: an unforgivable and horrific sin against humanity. And it's just

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Speaker 1: so intellectually dishonest. But again, I've given up on Network

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Speaker 1: News and CBS. It's a joke.

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Speaker 2: Like I always say, I almost never miss an episode

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Speaker 2: of sixty Minutes. But I must have missed the one

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Speaker 2: in which Scott Pelly said, no one's exactly sure how

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Speaker 2: much Joe Biden's willing to challenge the Constitution, but the

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Speaker 2: Supreme Court ruled he can't do away with student loans. However,

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Speaker 2: he seems hell bent on doing it despite blah blah blah.

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Speaker 2: I must have missed that episode.

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Speaker 1: In fact, he said the Supreme Court was illegitimate for

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Speaker 1: enforcing the Constitution and vowed that he would do it anyway.

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Speaker 1: No lesson an unprecedented reach for power, no lesson authority

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Speaker 1: than Nancy Pelosi has said multiple times the President doesn't

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Speaker 1: have the authority to cancel student loans, but he's doing

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Speaker 1: it anyway.

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Speaker 2: Yeah, I must have missed that episode.

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Speaker 1: Their partisan hacks anyway, I forget about their past as

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Speaker 1: serious journalists.

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Speaker 2: It's gone. I wanted to hear more from this poor

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Speaker 2: Christina girl who got fired at her government job the.

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Speaker 1: Other day and they had to leave the building.

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Speaker 6: And these are folks who had decades and decades of

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Speaker 6: public service, serving USAID across administrations from you know, George

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Speaker 6: Bush to Obama to the first Trump administration, and they

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Speaker 6: were never able to walk back in the building again.

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Speaker 2: No way. You'd been there for decades doing a good job.

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Speaker 2: You got fired and you weren't let back in the building.

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Speaker 2: I've never heard of that happening before.

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Speaker 1: Thank you for describing precisely how it's going to be

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Speaker 1: as wasteful, out of control, ridiculous government programs get rained in.

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Speaker 1: That is what it's going to look like. Yeah, and

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Speaker 1: it's unfortunate, but it must be done. Have you seen

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Speaker 1: the deficit lately, sweetheart?

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Speaker 2: Speaking of that alarming report shows us drowning in red ink.

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Speaker 2: The New York Post threw in as Democrats block spending cuts,

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Speaker 2: which is perfectly fine. So this is the first four

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Speaker 2: months of the fiscal year. The federal government has a

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Speaker 2: what they call mind numbing and it is eight hundred

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Speaker 2: and thirty eight billion dollar shortfall four months into the

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Speaker 2: fiscal year.

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Speaker 1: Wow.

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Speaker 2: Per the non partisan Congressional Budget Office, that eight hundred

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Speaker 2: and thirty eight billion dollar hole is fifteen percent higher

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Speaker 2: than last year's first three month gap, which was horrifying

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Speaker 2: and talked about then. But it's fifteen percent more now.

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Speaker 2: Last month, the CBO projected at nearly two trillion dollars

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Speaker 2: in overspending this year. I remember the first time we

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Speaker 2: spent more than a trillion was that the beginning of

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Speaker 2: COVID or was that eight when we had the big

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Speaker 2: financial meltdown. But anyway, first time we spent we had

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Speaker 2: a yearly budget deficit of a trillion, it was just,

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Speaker 2: oh my god, we can't Bloh Now it's two trillion regularly.

438
00:23:47,040 --> 00:23:49,200
Speaker 2: That's just what we do now, that's that's just where we.

439
00:23:49,160 --> 00:23:51,359
Speaker 1: Have time with a strong economy, that's correct.

440
00:23:51,440 --> 00:23:53,720
Speaker 2: Yeah, yeah, that would be about six point two percent

441
00:23:53,800 --> 00:23:58,560
Speaker 2: of gross domestic product. It was three point eight percent

442
00:23:58,720 --> 00:24:04,400
Speaker 2: on average over the last fifty years. Now it's six

443
00:24:04,440 --> 00:24:07,760
Speaker 2: point two percent. That would be added, of course to

444
00:24:07,840 --> 00:24:16,080
Speaker 2: our current thirty six trillion dollar debt, and in just

445
00:24:16,160 --> 00:24:18,120
Speaker 2: a couple of years, the nation's debt. This has been

446
00:24:18,160 --> 00:24:20,280
Speaker 2: threatened for a long time. The math is simple. It's

447
00:24:20,280 --> 00:24:22,760
Speaker 2: out there on the horizon covered our direction. I mean,

448
00:24:22,760 --> 00:24:26,360
Speaker 2: it's as inevitable as the sun rise, but we all

449
00:24:26,359 --> 00:24:28,920
Speaker 2: pretend it's not or something. In just a few years,

450
00:24:28,920 --> 00:24:31,680
Speaker 2: the nation's debt to GDP ratio will exceed it's World

451
00:24:31,760 --> 00:24:35,840
Speaker 2: War two peak, which is amazing in peace time. What

452
00:24:35,880 --> 00:24:40,320
Speaker 2: are we gonna do if there is a similar catastrophe

453
00:24:40,359 --> 00:24:42,720
Speaker 2: like World War Two, which could easily happen with China

454
00:24:43,080 --> 00:24:46,679
Speaker 2: could easily happen. Sure, combination of China and Russia and

455
00:24:46,720 --> 00:24:49,520
Speaker 2: we in Europe are fighting them, absolutely could happen. But

456
00:24:49,600 --> 00:24:53,640
Speaker 2: we're already spending like we did during World War Two.

457
00:24:53,760 --> 00:24:56,240
Speaker 2: What happens in well, maybe you lose is what happens.

458
00:24:56,760 --> 00:25:00,760
Speaker 1: I just like how any cut is identified as a horror,

459
00:25:00,960 --> 00:25:05,239
Speaker 1: particularly by left these days in the media, because it

460
00:25:05,320 --> 00:25:12,200
Speaker 1: will take away the the the excuse used for spending.

461
00:25:12,240 --> 00:25:17,399
Speaker 1: It will be hurt. This is money budgeted for a

462
00:25:17,520 --> 00:25:21,919
Speaker 1: starving pregnant women, So you're pregnant women starve. Here's the

463
00:25:21,960 --> 00:25:28,840
Speaker 1: deal with government spending in casegnan a group of people

464
00:25:28,840 --> 00:25:31,120
Speaker 1: that people could really have some compassion for. I think

465
00:25:31,160 --> 00:25:35,720
Speaker 1: you chose all right exactly. So they spend zillions of

466
00:25:35,720 --> 00:25:38,439
Speaker 1: dollars on god knows what, but they call it spending

467
00:25:38,440 --> 00:25:41,240
Speaker 1: for starving pregnant women. Therefore, when you try to cut it,

468
00:25:41,320 --> 00:25:44,840
Speaker 1: having identified it is wasteful and ridiculous, and one penny

469
00:25:44,840 --> 00:25:47,800
Speaker 1: of every dollar goes to a hungry pregnant gal, they

470
00:25:48,200 --> 00:25:51,480
Speaker 1: screech about it, that the scam being every dollar that's

471
00:25:51,480 --> 00:25:54,760
Speaker 1: spent by government is given a noble sounding name. There's

472
00:25:54,840 --> 00:25:58,000
Speaker 1: no there's no Department of flushing money down the toilet,

473
00:25:58,359 --> 00:26:02,160
Speaker 1: even though you know it. Actually, more appropriately it would

474
00:26:02,160 --> 00:26:05,080
Speaker 1: be the Department of handing out enormous gobs of cash

475
00:26:05,080 --> 00:26:09,600
Speaker 1: to our cronies. Nobody actually calls itself that, but that's.

476
00:26:09,440 --> 00:26:11,399
Speaker 2: What it is. Well, as I've heard a number of

477
00:26:11,400 --> 00:26:16,080
Speaker 2: people point out there should be more. Asking Democrats, what

478
00:26:16,280 --> 00:26:18,800
Speaker 2: would you cut? I assume you believe we've got to

479
00:26:18,840 --> 00:26:21,280
Speaker 2: cut spending since we're thirty two trillion dollars in debt,

480
00:26:21,560 --> 00:26:23,080
Speaker 2: would you cut? Of course, the answer is always going

481
00:26:23,160 --> 00:26:25,320
Speaker 2: to be raised taxes. The billionaires aren't paying their fast share,

482
00:26:25,480 --> 00:26:26,439
Speaker 2: and that's where you go with that.

483
00:26:26,840 --> 00:26:28,560
Speaker 1: The rich, you need to pay their fresh share. Yeah.

484
00:26:28,840 --> 00:26:32,520
Speaker 1: Interestingly enough, I thought this was a great perspective written

485
00:26:32,520 --> 00:26:37,399
Speaker 1: by a fellow by the name of Eugene Controvich. Controrovich.

486
00:26:37,760 --> 00:26:41,040
Speaker 1: How many o's are enough? Eugene? Anyway, he's talking about

487
00:26:41,040 --> 00:26:44,400
Speaker 1: the billions and billions of dollars that the US spends

488
00:26:44,480 --> 00:26:48,840
Speaker 1: through the the UN for what he refers to as

489
00:26:48,880 --> 00:26:53,280
Speaker 1: the global deep State in the Wall Street Journal. This

490
00:26:53,359 --> 00:26:56,520
Speaker 1: is not some sort of fevered website or whatever. He mentions.

491
00:26:56,520 --> 00:26:58,959
Speaker 1: In fiscal twenty two, the US government provided more than

492
00:26:59,000 --> 00:27:01,960
Speaker 1: twenty one billion dollars to one hundred and seventy nine

493
00:27:02,040 --> 00:27:06,040
Speaker 1: international organizations and multilateral entities. It's four hundred and fifty

494
00:27:06,080 --> 00:27:09,040
Speaker 1: pages of a State Department report just listing them. And

495
00:27:09,080 --> 00:27:12,600
Speaker 1: that's on top of the direct foreign aid that went

496
00:27:12,640 --> 00:27:16,520
Speaker 1: to radical progressive causes via the USAID that everybody's been

497
00:27:16,560 --> 00:27:18,959
Speaker 1: talking about. So this is twenty one billion dollars on

498
00:27:19,080 --> 00:27:22,200
Speaker 1: top of all that. Even the most and is headline

499
00:27:22,320 --> 00:27:26,159
Speaker 1: for which is worth mentioning, is now, let's defund the UN.

500
00:27:27,480 --> 00:27:30,399
Speaker 1: But he says even the most innocuous sounding international organizations

501
00:27:30,400 --> 00:27:36,240
Speaker 1: have institutionalized woke ideology. Nearly every UN affiliated organization seeks

502
00:27:36,280 --> 00:27:39,800
Speaker 1: to make climate change, of course, and or gender issues,

503
00:27:39,880 --> 00:27:44,200
Speaker 1: including transgenderism, an integral part of their work. Not if

504
00:27:44,200 --> 00:27:46,800
Speaker 1: they get around to it. It should be all about

505
00:27:46,800 --> 00:27:52,560
Speaker 1: that DEI offices abound. The International Organization for Migration lists

506
00:27:52,600 --> 00:27:58,600
Speaker 1: among its central activity areas of activity gender equality, environmental sustainability,

507
00:27:58,800 --> 00:28:05,000
Speaker 1: and reducing global inequalities. The UN Commission on Human Rights

508
00:28:05,040 --> 00:28:09,040
Speaker 1: promotes a variety of transgender propaganda programs, such as helping

509
00:28:09,080 --> 00:28:13,680
Speaker 1: Nepalese LGBTQIP plus minus over the power three writers tell

510
00:28:13,720 --> 00:28:17,440
Speaker 1: their own story. Then you know you can get into

511
00:28:17,480 --> 00:28:19,840
Speaker 1: abortion and all sorts of stuff like that. But yeah,

512
00:28:20,000 --> 00:28:25,320
Speaker 1: virtually everything the UN does is as he said, sound

513
00:28:25,400 --> 00:28:32,480
Speaker 1: like a taxpayer funded sixteen to nineteen project. Defund the UN.

514
00:28:32,600 --> 00:28:37,520
Speaker 1: That's the next step. I wonder. I wonder because Trump

515
00:28:37,560 --> 00:28:40,840
Speaker 1: and company have made threatening noises about that. I would

516
00:28:40,920 --> 00:28:44,000
Speaker 1: love to see him send shockways like the ridiculous gazzil

517
00:28:44,080 --> 00:28:47,880
Speaker 1: Argo plan Gazalalago. We'll take over Gaza and kick all

518
00:28:47,880 --> 00:28:49,840
Speaker 1: the people out and turn it into a resort. His

519
00:28:49,920 --> 00:28:52,040
Speaker 1: mobile eyes to the air world to say, eh, eh,

520
00:28:52,400 --> 00:28:54,280
Speaker 1: wait a minute, maybe we can find a real solution

521
00:28:54,360 --> 00:28:56,360
Speaker 1: to this. I would love to say, no, we're not

522
00:28:56,400 --> 00:28:59,719
Speaker 1: going to fund the UN anymore at all, beginning next week,

523
00:29:00,200 --> 00:29:04,400
Speaker 1: and see what reforms suddenly shakeout. Well.

524
00:29:04,440 --> 00:29:07,920
Speaker 2: One of Elon's tweets over the weekend about things he's

525
00:29:07,920 --> 00:29:11,680
Speaker 2: cutting this is one of the this is an interesting

526
00:29:11,720 --> 00:29:14,400
Speaker 2: thing that has happened. Of course, one of the great

527
00:29:14,400 --> 00:29:17,680
Speaker 2: things about Elon run on Twitter and being in charge

528
00:29:17,680 --> 00:29:19,480
Speaker 2: of this is how he can get the news out

529
00:29:19,840 --> 00:29:23,920
Speaker 2: in a way that some retired senator. You don't you've

530
00:29:23,960 --> 00:29:27,200
Speaker 2: never heard of part of some blue ribbon commission. Nobody'd

531
00:29:27,200 --> 00:29:29,880
Speaker 2: be paying any attention to him whatsoever. But Elon tweeted

532
00:29:29,920 --> 00:29:33,400
Speaker 2: out funding for racist baby training has been canceled, and

533
00:29:33,480 --> 00:29:38,080
Speaker 2: it's got the list of how they uh, how you

534
00:29:38,120 --> 00:29:42,000
Speaker 2: can train your kid to not be racist starting at

535
00:29:42,040 --> 00:29:45,600
Speaker 2: three months old. Babies are born racist and you have

536
00:29:45,680 --> 00:29:48,000
Speaker 2: to train it out of them starting at three months.

537
00:29:48,040 --> 00:29:51,040
Speaker 2: And it's actually has the information here what you do

538
00:29:51,120 --> 00:29:53,000
Speaker 2: for your baby at three months, at nine months, at

539
00:29:53,000 --> 00:29:54,880
Speaker 2: two years, at three years, and at five years to

540
00:29:54,920 --> 00:29:56,480
Speaker 2: make sure your kid is not racist.

541
00:29:57,880 --> 00:30:01,360
Speaker 1: So babies have a natural predilection to respond more favorably

542
00:30:01,400 --> 00:30:04,080
Speaker 1: to faces that look like their own. Right, the way

543
00:30:04,200 --> 00:30:06,720
Speaker 1: was made by God or nature, and you can't trend

544
00:30:06,760 --> 00:30:07,840
Speaker 1: them out of it accord.

545
00:30:07,640 --> 00:30:11,240
Speaker 2: Your way of presenting it. Or babies are born racist.

546
00:30:13,800 --> 00:30:16,560
Speaker 2: You people are effing nuts, how but not a lot

547
00:30:16,600 --> 00:30:18,640
Speaker 2: of you are spending your time trying to train your

548
00:30:18,640 --> 00:30:21,400
Speaker 2: baby out of racism at three months. There's a lot

549
00:30:21,440 --> 00:30:22,760
Speaker 2: of other things you should do for your baby.

550
00:30:22,760 --> 00:30:26,840
Speaker 1: But all right, you know how every single couple in

551
00:30:26,920 --> 00:30:30,880
Speaker 1: advertising is multi racial, sure, every single fan.

552
00:30:30,720 --> 00:30:34,600
Speaker 2: Even though you know practically none in your real life, right, exactly.

553
00:30:34,640 --> 00:30:39,400
Speaker 1: The actual statistics on that are really interested? Oh really,

554
00:30:39,440 --> 00:30:42,160
Speaker 1: I'd like to hear that and highly politically incorrect. It'll

555
00:30:42,160 --> 00:30:44,680
Speaker 1: probably end our career to even observe the truths. You

556
00:30:44,720 --> 00:30:46,640
Speaker 1: can't observe the truth, like we were talking about in

557
00:30:46,680 --> 00:30:49,280
Speaker 1: Germany before. If you insult anybody or hurt their feelings,

558
00:30:49,280 --> 00:30:52,880
Speaker 1: you're a criminal. I am test drove the Tesla cyber

559
00:30:53,080 --> 00:30:53,960
Speaker 1: truck the other day.

560
00:30:54,000 --> 00:30:57,560
Speaker 2: I wanted to talk about that because it's a controversial vehicle. Also,

561
00:30:57,640 --> 00:30:59,280
Speaker 2: my kids say I have a new dent in my

562
00:30:59,360 --> 00:31:03,280
Speaker 2: head that I should be aware of. I'm a shaven

563
00:31:03,400 --> 00:31:05,480
Speaker 2: headed man. If you've never seen me before, and you

564
00:31:05,480 --> 00:31:08,840
Speaker 2: can see my entire sphere spiracle head. My kids say

565
00:31:08,880 --> 00:31:11,880
Speaker 2: I have a new dent. I should go to a phrenologist.

566
00:31:12,000 --> 00:31:13,320
Speaker 2: I don't know who you see about.

567
00:31:13,040 --> 00:31:19,400
Speaker 1: That, friend, because I don't think that's a thing. I thought, well, yes,

568
00:31:19,560 --> 00:31:21,440
Speaker 1: but I'm not sure it's the legitimate science.

569
00:31:21,640 --> 00:31:23,720
Speaker 2: Will insurance cover it? Anyway? We got a lot more

570
00:31:23,720 --> 00:31:25,880
Speaker 2: on the way. Stay here.

571
00:31:28,760 --> 00:31:31,440
Speaker 1: Burger che burger tea barger tea.

572
00:31:31,280 --> 00:31:34,880
Speaker 2: Burger right, yes, right from the seventies. No, I misplaced

573
00:31:34,920 --> 00:31:39,200
Speaker 2: fourteen burger well drunk until I'm sorry, but I think

574
00:31:39,200 --> 00:31:40,320
Speaker 2: he might be too drug.

575
00:31:40,600 --> 00:31:45,880
Speaker 1: Yeah, try to tackle Paul Simon, but I missed. And

576
00:31:45,960 --> 00:31:49,200
Speaker 1: now Sabrina Carpenter's dad drunk.

577
00:31:49,280 --> 00:31:54,719
Speaker 2: I'm going girl at a party everyone, So I'm uh,

578
00:31:55,200 --> 00:31:57,440
Speaker 2: we're big fans of drunkne call at my household. So

579
00:31:57,440 --> 00:31:59,520
Speaker 2: I like to see him get a spot on the

580
00:31:59,520 --> 00:32:02,800
Speaker 2: fifty years anniversary. There's so many drunk holds. My favorite part, though,

581
00:32:02,800 --> 00:32:04,920
Speaker 2: is he looks down at his drink. He says, not

582
00:32:05,080 --> 00:32:08,120
Speaker 2: my captain America.

583
00:32:08,680 --> 00:32:14,120
Speaker 1: Wow, very funny. I'm not so obsessively political. I can't

584
00:32:14,240 --> 00:32:16,960
Speaker 1: enjoy that. But how about let's do a little drunk

585
00:32:17,400 --> 00:32:21,720
Speaker 1: kid go home from college suddenly knows everything character. Wouldn't

586
00:32:21,760 --> 00:32:22,600
Speaker 1: that be charming?

587
00:32:23,280 --> 00:32:25,040
Speaker 2: I think they've had that over the years a few times.

588
00:32:25,120 --> 00:32:25,760
Speaker 1: Oh good good.

589
00:32:29,080 --> 00:32:32,640
Speaker 2: One international update that's not exactly funny, so trouugh transition.

590
00:32:32,680 --> 00:32:34,520
Speaker 2: Two quick things. So they got the big media in

591
00:32:34,520 --> 00:32:38,520
Speaker 2: Saudi Arabia right now. Marco Rubiar a Secretary of State

592
00:32:38,800 --> 00:32:41,960
Speaker 2: meeting with Lavrov, basically the Secretary of State of Russia

593
00:32:42,120 --> 00:32:44,120
Speaker 2: trying to work out a deal or start the talks

594
00:32:44,200 --> 00:32:48,200
Speaker 2: or whatever. Zelensky isn't there anyway? This breaking news. All

595
00:32:48,240 --> 00:32:51,160
Speaker 2: you need to know about this is the United States

596
00:32:51,240 --> 00:32:56,800
Speaker 2: ask Russia for a moratorium on strikes against Ukraine's energy infrastructure.

597
00:32:57,160 --> 00:33:00,960
Speaker 2: Lavra rejected that. He said, be because Russia has never

598
00:33:01,000 --> 00:33:03,560
Speaker 2: targeted Ukrainian energy infrastructure in the first place.

599
00:33:03,880 --> 00:33:05,680
Speaker 1: Must all that's a good one surgery.

600
00:33:06,160 --> 00:33:08,480
Speaker 2: That's not a good start to the talks if you're

601
00:33:08,520 --> 00:33:13,120
Speaker 2: just going to deny all reality. And then this horrific

602
00:33:13,360 --> 00:33:16,960
Speaker 2: news that came out. Hamas says the youngest hostages ages

603
00:33:17,000 --> 00:33:19,520
Speaker 2: two and five, and their mom are dead and their

604
00:33:19,560 --> 00:33:22,240
Speaker 2: bodies will be sent back to Israel this week. So

605
00:33:22,320 --> 00:33:24,680
Speaker 2: that one of the reasons Israel has been holding out

606
00:33:24,680 --> 00:33:26,840
Speaker 2: this whole time and putting up with a lot of

607
00:33:26,920 --> 00:33:29,480
Speaker 2: crap from Hamas is hoping to get back those two

608
00:33:29,480 --> 00:33:31,960
Speaker 2: little kids and their mom. But they're all dead, probably

609
00:33:32,000 --> 00:33:35,080
Speaker 2: have been for a while. How did those little kids die, Hamas?

610
00:33:35,280 --> 00:33:36,040
Speaker 2: What happened there?

611
00:33:37,200 --> 00:33:42,800
Speaker 1: Yeah, no kidding monsters. So a complete change topic here,

612
00:33:43,160 --> 00:33:45,560
Speaker 1: I said we would do this, so let's squeeze it in.

613
00:33:45,680 --> 00:33:50,280
Speaker 1: I found this very interesting. Its statistics on spouse's races

614
00:33:50,320 --> 00:33:55,440
Speaker 1: for newlyweds, it goes through It's not up to date,

615
00:33:55,560 --> 00:33:58,200
Speaker 1: so I suspect some of these numbers have changed a

616
00:33:58,360 --> 00:34:02,480
Speaker 1: little bit because innerational marriage has become more common in

617
00:34:02,480 --> 00:34:04,760
Speaker 1: the last four or five years, which you're not covered.

618
00:34:05,120 --> 00:34:06,400
Speaker 1: And I will tell you this just for the sake

619
00:34:06,440 --> 00:34:08,000
Speaker 1: of the argument. I don't care who you marry. I

620
00:34:08,000 --> 00:34:09,600
Speaker 1: hope you care for each other and are good for

621
00:34:09,640 --> 00:34:11,480
Speaker 1: each other, and if you have kids, you raise them

622
00:34:11,480 --> 00:34:13,640
Speaker 1: the best you can and you have a happy life together.

623
00:34:13,800 --> 00:34:16,440
Speaker 2: I can't give a crap. I don't care either. I

624
00:34:16,480 --> 00:34:18,480
Speaker 2: just think it's interesting human nature that it tends not

625
00:34:18,560 --> 00:34:19,359
Speaker 2: to happen.

626
00:34:20,040 --> 00:34:23,600
Speaker 1: Right indeed, and to deny that that's okay or natural

627
00:34:23,760 --> 00:34:26,239
Speaker 1: or birds of a feather flock together is just it's

628
00:34:27,000 --> 00:34:29,360
Speaker 1: it's a depth of how unrealistic the DEI crowd is.

629
00:34:29,360 --> 00:34:33,600
Speaker 1: Of course they're they're Marxists. And also, and it's not

630
00:34:33,680 --> 00:34:36,280
Speaker 1: just to us who are annoyed by or have noticed

631
00:34:36,280 --> 00:34:41,360
Speaker 1: that every couple just portrayed on TV, especially in ads,

632
00:34:41,600 --> 00:34:45,160
Speaker 1: has to be multiracial. Now. I get they think, you know,

633
00:34:45,320 --> 00:34:47,040
Speaker 1: we got to show a black person, so a black

634
00:34:47,040 --> 00:34:50,040
Speaker 1: person will want to buy this brand of wheelbarrow or

635
00:34:50,040 --> 00:34:54,160
Speaker 1: a car or cereal too, which I think is probably

636
00:34:54,200 --> 00:34:57,840
Speaker 1: not necessary. But anyway, I thought this is interesting. The

637
00:34:57,920 --> 00:35:02,120
Speaker 1: most recent statistics they have white males merry white females,

638
00:35:02,840 --> 00:35:05,600
Speaker 1: it's a zero point eight nine to eight percent of

639
00:35:05,640 --> 00:35:09,799
Speaker 1: the time, so ninety percent of the time. It's slightly

640
00:35:10,680 --> 00:35:13,759
Speaker 1: slightly more. It's ninety and a half percent that white

641
00:35:13,760 --> 00:35:17,040
Speaker 1: females marry white males. Then there are a mix of

642
00:35:17,120 --> 00:35:21,080
Speaker 1: other ethnicities they might marry, and it's this chart is

643
00:35:21,200 --> 00:35:23,440
Speaker 1: quite interesting. It's a little challenging to read, but it

644
00:35:23,440 --> 00:35:30,600
Speaker 1: has Black, Cambodian, Chinese, Filipino, Hispanic, Long Indian, Japanese, Korean, Laotian, other, Pakistani, Vietnamese,

645
00:35:30,600 --> 00:35:34,200
Speaker 1: all sorts of different things. Blah blah blah. One interesting

646
00:35:34,400 --> 00:35:38,000
Speaker 1: departure from the tendency and this is, well, I don't

647
00:35:38,040 --> 00:35:41,560
Speaker 1: know what to make of it is Japanese females marry

648
00:35:41,680 --> 00:35:44,080
Speaker 1: white guys forty one percent of the time.

649
00:35:44,680 --> 00:35:47,560
Speaker 2: But how often do black.

650
00:35:47,320 --> 00:35:51,080
Speaker 1: Filipinos It's about forty four percent. Of course, you know

651
00:35:51,480 --> 00:35:52,759
Speaker 1: the whole what's white, what's not?

652
00:35:52,840 --> 00:35:55,400
Speaker 2: How often do you have a black white marriage, as

653
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Speaker 2: is portrayed in ads like it's half the.

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00:35:57,280 --> 00:36:01,480
Speaker 1: Time among black female else it appears to be about

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Speaker 1: six and a half percent. Black males merry white women

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Speaker 1: about fourteen.

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Speaker 2: Percent, But in the time in detergent commercials, it's more

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Speaker 2: like ninety five percent.

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Speaker 1: Yeah, that's correct.

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Speaker 2: For some reason, we do four hours. If you miss

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Speaker 2: an hour, get the podcast Armstrong and Getty on demand

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Speaker 1: Armstrong and Getty