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

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Speaker 1: George Washington Broadcast Center. Jack Armstrong and Joe Getty Armstrong

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Speaker 1: and Jackie and he Armstrong and Jetty, they should have left.

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Speaker 2: They should have made the deal. I had a great

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Speaker 2: deal for them. They should have made that deal. Sixty

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Speaker 2: days we talked about it, and in the end they

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Speaker 2: decided not to do it. And now they wish they

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Speaker 2: did it, and they want to meet. But it's a

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Speaker 2: little late to meet. But they want to meet, and

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Speaker 2: they want to come to the White House. So even

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Speaker 2: come to the White House. So we'll see. I may

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Speaker 2: do that.

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Speaker 3: So Trump asked, over and over again. He kept saying,

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Speaker 3: no matter what the question was, pretty much yesterday, whether

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Speaker 3: he was on the White House lawn or in the

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Speaker 3: Oval office behind the desk, that Iran can't have a

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Speaker 3: nuclear weapon, saying it for twenty years, Ran cannot have

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Speaker 3: a nuclear weapon.

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Speaker 4: Here's a little more Trump, he.

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Speaker 3: Says them on Iran, if regime change does happen there,

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Speaker 3: if the regime fools, do you have a plan for

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Speaker 3: what you think would happen, plan for.

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Speaker 2: Everything, But we'll see what happens here kind of ways

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Speaker 2: to go they should have made that dea in sixty days.

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Speaker 2: We talked about it and in the end they decided

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Speaker 2: not to do it, and now they wish they did it.

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Speaker 3: Yeah, on all the headlines yesterday where Trump has signed

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Speaker 3: off on the plan to attack the nuclear facility but

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Speaker 3: hasn't decided when yet.

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Speaker 1: Did you see the denial from the mullas might have

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Speaker 1: been even the head guy that they were willing to

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Speaker 1: talk and go to the White House. He said, we'll

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Speaker 1: never crawl to the gates of the White House for

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Speaker 1: mercy or donag or whatever. Eating with them scumbags. You

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Speaker 1: can nied it up and down, but he probably has to.

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Speaker 3: Yeah, there seems like the negotiating daser passed us. Uh right,

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Speaker 3: I don't I don't know if I don't know if

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Speaker 3: they could pull the plug at this point, man, it

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Speaker 3: would take an extraordinary statement.

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Speaker 1: Well, I want to read this book when it comes out,

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Speaker 1: But I could easily believe behind the scenes, the powers

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Speaker 1: that be in Tehran made that overture to Trump, believing

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Speaker 1: it would be top secret, and then Trump waved their

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Speaker 1: uh you know, you know, waved it in their faces. Yeah,

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Speaker 1: you're begging me, you want to come to the White House,

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Speaker 1: and they're freaking out. They're thinking, no, no, no, this

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Speaker 1: has got to be secret or will lose the support

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Speaker 1: of our ultra conservative supporters. And Trump may well be thinking, yeah,

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Speaker 1: I don't care. That sounds like a you problem. This

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Speaker 1: is all going to be out in the open now.

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Speaker 4: Yeah. I don't remember if I asked this yesterday.

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Speaker 3: Do you think we we or Israel actually does know

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Speaker 3: where the eyetola is, like, has his location?

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Speaker 1: It's entirely possible.

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Speaker 4: Wow, that'd be something.

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Speaker 1: Do we have a source in the Palace guard or

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Speaker 1: whatever the formal term is for that.

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Speaker 4: I don't know.

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Speaker 3: I was listened to a great interview yesterday with what

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Speaker 3: let me find his name, because I'm a fan.

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Speaker 4: I've been a fan of his for years, Ken Pollack.

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Speaker 4: He was in.

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Speaker 3: CIA, NSA, all those different kind of things in different administrations,

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Speaker 3: and I've been reading this stuff and watching m be

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Speaker 3: interviewed for years in a variety of topics. And he

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Speaker 3: confirmed when I asked that, Yeah, there almost has to

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Speaker 3: be a fair amount of human intelligence in Iran for

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Speaker 3: Israel to have pulled off what they've pulled off.

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Speaker 4: So they have.

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Speaker 3: Iranians who have turned because they don't like the regime,

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Speaker 3: or they're just getting paid off, or any of the

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Speaker 3: reasons anybody ever turns on their own country.

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Speaker 1: Maybe my sister got beat to death in the jail

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Speaker 1: for showing your hair on the street.

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Speaker 3: Yeah, I'm not a big fan, right, So, and you

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Speaker 3: know who how close that human intelligence is to the Iyatola?

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Speaker 3: And could you know nail down where he is? We

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Speaker 3: don't know. But he made the point that the reason

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Speaker 3: we don't want to kill the Ayatola is we have

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Speaker 3: been in a unique position for a lot of years

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Speaker 3: to where we're pretty much the only country in the

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Speaker 3: world that has the technology to just snuff people anywhere

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Speaker 3: on the planet when we decide we need.

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Speaker 1: To, and then we do.

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Speaker 3: And you know, sometimes you and gets unhappy about it,

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Speaker 3: or some countries make some noise, But Dan, whatever, what

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Speaker 3: are you going to do?

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Speaker 4: We're the United States.

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Speaker 3: Soon, like very soon, lots of countries are going to

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Speaker 3: have the technology to be able to strike somebody anywhere

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Speaker 3: on the planet with a swarm of drones or whatever,

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Speaker 3: and normalizing that is not going to be to our

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Speaker 3: benefit when all of a sudden, and he used the

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Speaker 3: example Pete Heggzeth is walking out of a restaurant and

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Speaker 3: get hit with a couple of drones and take it out,

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Speaker 3: and China says, well we had to because of blah

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Speaker 3: blah blah, and the world gets mad about it.

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Speaker 4: But what are you gonna do? The United States has

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Speaker 4: been doing it for years.

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Speaker 1: Oh boy, and then never ending tit for tat assassinations, right,

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Speaker 1: Doc Syndrone, Huh.

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Speaker 3: I'm not against any of this, but we have been

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Speaker 3: in a unique situation where you know, I never can

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Speaker 3: pronounce his right name, right, Solomani, the the Iranian general.

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Speaker 1: We just take him out. He's a bad guy.

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Speaker 3: The other the reason other countries don't do that, they can't.

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Speaker 3: They just have never they haven't been able to.

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Speaker 1: Well, we're very very restrained about it, Yes we are,

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Speaker 1: but it's still a heck of a thing. Imagine living

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Speaker 1: in a country where somebody just all of a sudden

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Speaker 1: can get vaporized by China or Russia or North Korea

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Speaker 1: or whoever thinks that they're evil. Yikes, And then you

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Speaker 1: got the murders of those poor legislators in Minneapolis. Who's

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Speaker 1: to say, or Minnesota, who's to say? It will just

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Speaker 1: be malevolent foreign actors that'll, you know, hop on the

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Speaker 1: I don't like him. I'm gonna rub him out train.

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Speaker 3: Yeah so, I don't know if I believe that or

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Speaker 3: not in this case, that that's a good reason to

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Speaker 3: not take out the iyatola or if any that's on

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Speaker 3: anybody's mind.

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Speaker 1: But man, every day I'm reconvinced that the Internet and

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Speaker 1: AI is like handing a chimp.

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Speaker 3: Or loaded revolver. That'd be a bad, bad idea. That

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Speaker 3: seems like a bad idea. I mean, I haven't realized

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Speaker 3: my point. I haven't thought about it for more than

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Speaker 3: a couple of seconds. But a chill advise that I'm

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Speaker 3: thinking it through. Yeah, yeah, you could get unforeseen consequences

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Speaker 3: out of that.

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Speaker 4: A chimp with a loaded revolver.

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Speaker 1: And maybe a machine gun would be a more apt metaphor, honestly,

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Speaker 1: given the amount of damage that could be done quickly.

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Speaker 4: Yeah.

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Speaker 3: So Trump said, he said he's going to make his

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Speaker 3: decision at the last second. He said, because things can

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Speaker 3: change when it comes to war. You know, you got

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Speaker 3: to wait till the last moment to make the decision.

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Speaker 3: I don't have any idea if it's gonna he at

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Speaker 3: some point you said yesterday, you know, could be soon,

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Speaker 3: could be a week, maybe sooner.

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Speaker 4: So I don't know.

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Speaker 3: For some reason, I was pictured sooner than a week,

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Speaker 3: just based on the fact that we closed the embassy

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Speaker 3: in Tel Aviv for the next three days, you know,

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Speaker 3: all the big meetings they've been having, that sort of thing.

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Speaker 3: I just I've been assuming it's going to happen like

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Speaker 3: the day or tomorrow. That hint from the Israeli ambassador

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Speaker 3: that you're going to see something on Thursday or Friday

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Speaker 3: that makes the pager attack look like nothing. That's gotta

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Speaker 3: be an overstatement, doesn't It almost has to be.

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Speaker 1: I don't.

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Speaker 4: I don't sell the Israeli short.

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Speaker 3: So every expert that I've listened to on a podcast

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Speaker 3: or interview says this, The Israelis have to have something

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Speaker 3: up their sleeve to deal with Fidah. There's no way

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Speaker 3: they went into this without the ability to take out

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Speaker 3: Fordoh and just counting on the fact that the United

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Speaker 3: States would do it for him.

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Speaker 4: There's just no way.

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Speaker 3: They had to have some plan to you know, destroy

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Speaker 3: it with a computer virus or get you know, commandos

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Speaker 3: in there or something.

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Speaker 1: There's got to be something going on there.

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Speaker 3: So that's what we're probably going to see in the

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Speaker 3: next couple of days or a week.

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Speaker 1: Yeah, but I could see, you know, both kind of

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Speaker 1: sort of being true in that an enormously expensive and

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Speaker 1: in terms of Live's commando attack, special forces attack, I

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Speaker 1: mean lots of boots on the ground over rights and

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Speaker 1: in that period of time that was so costly. Oh yeah, yeah,

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Speaker 1: you could lose a lot of guys.

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Speaker 3: But in so you would be hope in the US

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Speaker 3: would step in Israel's mind, it would be worth it.

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Speaker 3: But yeah, if the United States says we'll vomit for you,

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Speaker 3: then you don't have.

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Speaker 4: To do that, right, I guess is your point.

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Speaker 3: Let's listen to Senator Mark Wayne Mullen. We've had him

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Speaker 3: on the show, kind of interested in what he has

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Speaker 3: to say. Clip sixty five.

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Speaker 5: There, Michael, keep in mind, this isn't just one facility

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Speaker 5: the Iranian regime had spread. It just be portion across

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Speaker 5: the country and specifically five separate locations, and we know

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Speaker 5: where those locations are. We have pretty good intel. The

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Speaker 5: Israelis have also shared intel with US, and so if

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Speaker 5: there's a reason for US to make sure that they

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Speaker 5: can never achieve a nuclear weapon, then that is in

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Speaker 5: the United States interest.

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Speaker 3: So if you're old enough to have lived through the

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Speaker 3: whole build up to the Iraq war.

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Speaker 4: He is still smart a little bit from the whole.

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Speaker 3: We have solid evidence mobile chemical labs moving around the

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Speaker 3: country making you know, all kinds of disastrous gases, and

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Speaker 3: none of that turned out to be true. But the

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Speaker 3: Senator goes on here with the intelligence saying.

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Speaker 6: The US intelligence community is saying that Iran is close.

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Speaker 5: I'm saying the assets that we have now, the information

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Speaker 5: we're receiving that we're using with our partners in Israel,

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Speaker 5: and the information we're receiving from the intelligence community is

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Speaker 5: that they are very close. In March, the different the

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Speaker 5: information was quite different. But who told the information has changed?

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Speaker 6: Who told you that about the intelligence community? Because just

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Speaker 6: the ranking Democrat on this ended Intelligence Committe, Mark Warner,

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Speaker 6: said that his understanding was that the intelligence community's assessment

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Speaker 6: was still today what Telsey Gabberd said, and Mark, well,

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Speaker 6: I will tell you, and I can't. I've got to

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Speaker 6: walk careful to how far I can go with this,

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Speaker 6: because obviously, if I'm getting read in on programs, or

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Speaker 6: if we're getting briefed in a in a classified briefing,

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Speaker 6: there's very little information I can actually come out.

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Speaker 1: I'm tony.

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Speaker 5: The information that we've received will tell you that they

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Speaker 5: are very, very close to it.

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Speaker 3: Do you have concern about this, that it's being overstated

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Speaker 3: how close they are to a nuclear weapon?

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Speaker 4: And then I've got a response.

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Speaker 1: Not a lot, just because I've been following the various

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Speaker 1: estimates and projections through the years and the full range

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Speaker 1: of them, from the very hawkish to the dubvish, and

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Speaker 1: this does not seem It's like, you know, a poll

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Speaker 1: comes out that's an outlier that you're like, wait a minute,

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Speaker 1: how does Trump all of a sudden, I have a

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Speaker 1: thirty eight percent approval rating? Is it fifty two last week?

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Speaker 1: And every other pole. This does not strike me as

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Speaker 1: an outliner an outlier. Given everything that's happened, it seems

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Speaker 1: like a logical point to have progressed too. Yeah, I

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Speaker 1: have one more point I want to make about China.

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Speaker 1: But if you're driving towards something, go ahead.

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Speaker 4: Uh yeah.

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Speaker 3: So my thinking is it might be being overstated. Now

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Speaker 3: in Brimmer, among other people think that Bebe's doing this

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Speaker 3: for political reasons, over emphasizing how close Iran is to

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Speaker 3: get in a nuclear repon Bill Clinton, said it on

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Speaker 3: The Daily Show Tuesday night, made no news. I didn't

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Speaker 3: hear about it till today, So that shows you how

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Speaker 3: much people respect Bill Clinton's opinion.

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Speaker 1: At this point, I kind of feel like, but.

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Speaker 3: My belief is yet it might be overstated. Maybe they

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Speaker 3: aren't days away from a nuclear repid, maybe it's longer.

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Speaker 3: What difference does it make. Ted Cruise's point to Tucker

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Speaker 3: on that contentious interview was there is no disagreement anywhere

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Speaker 3: in the world that Iran is trying to get a

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Speaker 3: nuclear weapon and going as fast as they can. There's

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Speaker 3: never going to be a better time to take that

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Speaker 3: program out. So whether they're a week away or six

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Speaker 3: months away, since that's their intention and it's only going

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Speaker 3: to get harder six months from now, why the hell

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Speaker 3: wouldn't you.

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Speaker 1: Do it now? That's where I right, Well, we need

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Speaker 1: to take a break. And so my point about China,

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Speaker 1: which believe it or not, is tied into this, will

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Speaker 1: firmly establish my credentials as a cold warrior lunatic. But

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Speaker 1: I think it's it's indisputably true, and I'm going to

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Speaker 1: tell you though you don't hear it anywhere else. Plus

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Speaker 1: to your point, the famous Tulsea Gabbert. Iran is not

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Speaker 1: building a nuclear weapon. That was half of her statement

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Speaker 1: that day in Marsh. I don't know that we're going

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Speaker 1: to play the other half as well.

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Speaker 3: The Lakers got sold the most viable sports franchise in

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Speaker 3: America or the world.

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Speaker 1: Pretty billion bucks, pretty big deal.

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Speaker 3: We'll talk a little bit about that, among other things

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Speaker 3: on the waist to here.

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Speaker 5: Keep in mind, this isn't just one facility. The Iranian

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Speaker 5: regime has spread it just proportionately across the country and

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Speaker 5: specifically five separate locations, and we know where those locations are.

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Speaker 1: We have pretty good intel.

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Speaker 5: The Israelis have also shared intel with us, and so

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Speaker 5: if there's a reason for us to make sure that

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Speaker 5: they can never achieve a nuclear weapon, then that is

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Speaker 5: in the United States interest.

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Speaker 1: So I've been reading about Israel's many year long effort

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Speaker 1: to somehow prevent Iran from getting a nuke, having you know,

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Speaker 1: the Iranians having vowed deathed Israel about a zillion times,

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Speaker 1: and part of that has been identifying like Mark Wayne Mullen,

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Speaker 1: their senator from Oklahoma, is talking about five significant nuclear

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Speaker 1: facilities across the country, and is the Israelis have not

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Speaker 1: only identified those five facilities, but like all the ancillary facilities,

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Speaker 1: the support facilities, that sort of thing. And they've also

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Speaker 1: identified who runs them, and who are the project managers,

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Speaker 1: and who are the scientists in charge of X, Y

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Speaker 1: and Z. That's how some of them have met their

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Speaker 1: unfortunate ends recently and years ago. And they've been doing

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Speaker 1: this over the course of many, many years, not knowing

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Speaker 1: exactly when and how they would use that information. If

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Speaker 1: you don't think that's precisely what China is doing right

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Speaker 1: now to us, I was going to say, you're a fool,

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Speaker 1: but maybe you're just busy with your job and don't

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Speaker 1: spend a lot of time thinking about it. So, but

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Speaker 1: that is unquestionably what China is doing right now to

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Speaker 1: the United States. Why do I care that they collect

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Speaker 1: all my data through TikTok and blah blah blah. You know,

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Speaker 1: maybe it doesn't matter for you, but they are to

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Speaker 1: understand who everybody is, what they do, and how they

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Speaker 1: can be exploited for the communist Chinese game mm same

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Speaker 1: way the Israelis do. And if the poo ever hits

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Speaker 1: the fan, there are gonna be a lot of people

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Speaker 1: running around saying Oh my god, Oh my god, how

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Speaker 1: did this happen? Jack? I know, go ahead, you're gonna

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Speaker 1: make a point.

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Speaker 3: When the S hits the fan? Where does that expression

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Speaker 3: come from?

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Speaker 4: Anybody?

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Speaker 1: And know it's a great question.

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Speaker 3: I'm gonna ask while you're talking chat GPT and find

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Speaker 3: out because I am curious.

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Speaker 1: I think Katie may be on the task. Yeah, Katie's

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Speaker 1: on it.

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Speaker 3: Because I can't say the word, so I got to

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Speaker 3: turn off my microphone to say it to chat GPT

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Speaker 3: in like you're there in a cattle yard and indoor

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Speaker 3: cattle facility, and he got big old fans, exhaust, fans run,

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Speaker 3: and sometimes the cows turn their line in.

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Speaker 4: I got the answer, Okay.

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Speaker 3: When the S hits the fan is a colorful idiom,

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Speaker 3: meaning a situation suddenly comes chaotic, problematic, or disastrous. We

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Speaker 3: knew that, yes, usually because a hidden issue is exposed

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Speaker 3: or something goes terribly wrong. It likely dates back to

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Speaker 3: the early twentieth century, first appearing in print around the

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Speaker 3: nineteen thirties. UH The literal image feces hitting a spinning

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Speaker 3: fan and splattering everywhere because is meant to convey a sudden,

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Speaker 3: uncontrollable mess. Once something bad is let loose, with the

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Speaker 3: earliest printed version seemed to be from the nineteen thirty

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Speaker 3: nine novel Singing the Blues by Hal Dobie, in which

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Speaker 3: he uses the phrase then the ess hit the fan.

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Speaker 1: That was pretty clever, a little expression. Wow, it caught

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Speaker 1: on like Shakespeare invented a lot of expressions we still

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Speaker 1: use today. But way to go Harold Dobie.

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Speaker 3: Similar phrases all hell broke loose, the wheels came off,

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Speaker 3: it blew up in their faces.

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Speaker 1: Favorite use of the term in Warren Zevan's Lawyer's Guns

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Speaker 1: and Money.

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Speaker 4: Yeah yeah, yeah yeah.

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Speaker 3: By the way, chat GBT is amazing. It's so much

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Speaker 3: better than googling something. If you want an answer. Much

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Speaker 3: on the way. If you missed a segment, get the

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Speaker 3: podcast Armstrong and Getty.

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Speaker 4: On demand Armstrong and Getty.

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Speaker 7: I was talking to the lieutenant. I said, I don't

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Speaker 7: think in twenty three years, I've ever heard of anybody

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Speaker 7: who managed somehow to get married to someone who wasn't

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Speaker 7: present for a ceremony. I've talked to the victim and

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Speaker 7: he's going through a significant process to try to have

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Speaker 7: to fix this.

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Speaker 3: At this point, someone who got married to someone who

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Speaker 3: wasn't present at the ceremony.

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Speaker 1: What does that mean a thirty six year old woman

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Speaker 1: is being held on felony stalking charges in any bizarre case,

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Speaker 1: she's in jail. Yeah. Where a wedding was held without

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Speaker 1: the groom present and without his knowledge, well you can

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Speaker 1: call it a wedding. Isn't that like saying I held

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Speaker 1: a horse race without a horse being present or the

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Speaker 1: horse is.

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Speaker 3: Not I had if there was no hearses racing. I

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Speaker 3: had a birthday party for somebody that doesn't like me anymore,

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Speaker 3: and they weren't there, all right, Well anyway, right, I

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Speaker 3: can have a birthday party for somebody seeing happy birthday,

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Speaker 3: get a cake, wear a little hat, but if they're

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Speaker 3: not there, I'm not sure it makes any difference.

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Speaker 1: So the chief of police there in Beverly Hills, Texas,

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Speaker 1: said his office was contacted by a forty two year

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Speaker 1: old fellow who said he found a package from his

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Speaker 1: ex girlfriend at his home, which included a copy of

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Speaker 1: a marriage certificate showing that he was married even though

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Speaker 1: he didn't marry her and thinks she's a nut job.

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Speaker 4: So she did she falsefy his name or something?

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Speaker 1: Well, the cop says, at first we were really considering

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Speaker 1: that it maybe some forged documents. However, once we made

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Speaker 1: contact with the reverend who ended up signing the actual

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Speaker 1: ceremonies showing that they were unified, he basically, you know,

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Speaker 1: solidified the fact that, yeah, the groom was not present

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Speaker 1: when that occurred.

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Speaker 3: You know, Joe and I learned this when we were

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Speaker 3: we and we've conducted a couple of weddings, been the officiant,

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Speaker 3: and we got our minister license online from the church.

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Speaker 4: And you look confused there, Kittie.

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Speaker 3: We got our minister license online from the Church Universal Life.

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Speaker 3: And then so Joe and I were ministers and we

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Speaker 3: did a couple of weddings and they were actually married,

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Speaker 3: because who officiates your wedding has nothing to do with it.

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Speaker 3: It's the wedding license you get at the courthouse and

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Speaker 3: people signing off on that. That's what makes you legally married, not.

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Speaker 1: And the officiant signs it saying yeah, the two were there.

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Speaker 1: They exchallenged these vows. They're doing it willingly. And here's

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Speaker 1: their first, middle and last names.

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Speaker 3: But the minister or the disc jockeys or whoever who

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Speaker 3: say I do I now pronounce you man and wife

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Speaker 3: is not the legal thing there.

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Speaker 1: Let's see. Chief Martin explained how this situation has been

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Speaker 1: a rare occurrence and how they've been handling it. He's

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Speaker 1: been going through the Family Code looking at sections on marriage.

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Speaker 1: There was only one caveat that I could locate, which was,

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Speaker 1: you know, active military overseas. Unable to make it, you

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Speaker 1: still had to have a proxy stand in, and that

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Speaker 1: also has to be part of all the licensing stuff

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Speaker 1: is part of the stuff there. So the groom should

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Speaker 1: have been there. A proxy wouldn't have worked without that caveat.

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Speaker 1: So anyway, the minister ought to lose his fake internet license.

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Speaker 1: I'll tell you that anyway.

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Speaker 4: She's a full on nut job.

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Speaker 1: Oh yeah, yeah, she's yeah, absolutely full Florida.

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Speaker 4: How did you think this was gonna work? Lady?

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Speaker 3: Do you think he was gonna get the word that

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Speaker 3: you're too married and say, well, I guess I got

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Speaker 3: no choice but to move in with her and love

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Speaker 3: and cherish her for the rest of her life.

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Speaker 4: What am I going to do?

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Speaker 1: I think anybody listening or perhaps on the show, who

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Speaker 1: has unfortunately gotten intertwined with a whackadoodle and realized it

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Speaker 1: there's no reasoning necessary or that would be successful, and

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Speaker 1: if what she was thinking is probably wacked doodleish.

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Speaker 4: Yeah, and a fair amount of short term thinking yes.

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Speaker 1: Yes, and the governed by the emotions and not the intellect.

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Speaker 1: So here are a handful of headlines all about the

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Speaker 1: world of work in the economy and that sort of thing. Uh.

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Speaker 1: They're going to all be kind of flowing in one direction.

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Speaker 1: You might notice early several of them. Microsoft plans to

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Speaker 1: cut thousands more employees companies. Layoffs are expected to start

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Speaker 1: around the start of July and will target sales and

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Speaker 1: other departments.

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Speaker 4: Is it because of the two letter menus?

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Speaker 1: Uh? Indirectly they're continuing their costly push into a.

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Speaker 3: Two letter menuts I'm talking about of course? Is oh

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Speaker 3: I was talking about VD oh, no, no, so much

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Speaker 3: that they have to let people.

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Speaker 1: Go stop it, stop it. Uh so Uh. Latest round

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Speaker 1: layoffs come on top of the roughly six thousand rolls

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Speaker 1: the company eliminated in May across product and software developer

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Speaker 1: around the world and more to calm, companies ranging from

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Speaker 1: retail the pharmaceuticals have been drawing up plans to consolidate positions,

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Speaker 1: looking to do more with leaner staffs and relying on

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Speaker 1: technology for additional tasks. Wow, including Amazon got a fair

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Speaker 1: amount of attention. I want to come back to them

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Speaker 1: in a minute.

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Speaker 3: When does this, when does this like really really start

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Speaker 3: to hit? Is like, I mean, we got a war

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Speaker 3: thing going on right now, so obscures a lot of news.

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Speaker 3: But when does this really start to hit? Is like

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Speaker 3: the drip drip drip really starts to get to people

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Speaker 3: when you're constantly hearing about big companies eliminating thousands of

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Speaker 3: positions because of AI Like it could.

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Speaker 4: Be later this summer of this fall.

441
00:22:41,240 --> 00:22:43,160
Speaker 1: I was going to say twenty twenty six or twenty

442
00:22:43,200 --> 00:22:46,560
Speaker 1: twenty seven. If I had twenty twenty eight in a pool,

443
00:22:46,960 --> 00:22:49,120
Speaker 1: I'd be pretty convinced I was going to miss out

444
00:22:49,119 --> 00:22:53,960
Speaker 1: on the money. But you know, certainly could be completely wrong.

445
00:22:54,640 --> 00:22:56,880
Speaker 1: Another headline, this one from the Wall Street Journal. Many

446
00:22:57,080 --> 00:22:59,600
Speaker 1: I'm sorry more of us are putting in extra hours

447
00:22:59,680 --> 00:23:04,159
Speaker 1: after the work day, employees days bleeding into the evening.

448
00:23:04,280 --> 00:23:05,600
Speaker 4: Data shows I am not.

449
00:23:07,040 --> 00:23:09,720
Speaker 1: Thanks to a growing load of meetings, emails, and yes,

450
00:23:09,960 --> 00:23:15,080
Speaker 1: actual work. It's easy to imagine I think a lot

451
00:23:15,160 --> 00:23:18,040
Speaker 1: of us do that. We do that. I get that

452
00:23:18,119 --> 00:23:21,600
Speaker 1: you're making light as you making your wacky.

453
00:23:21,200 --> 00:23:22,440
Speaker 4: Little jokes what you think.

454
00:23:23,720 --> 00:23:27,680
Speaker 1: But anyway, according to Microsoft, which apparently still has a

455
00:23:27,720 --> 00:23:30,600
Speaker 1: few people to analyze this data, because they can see

456
00:23:30,600 --> 00:23:34,240
Speaker 1: when people log on all of the Microsoft products, and

457
00:23:34,600 --> 00:23:37,120
Speaker 1: they say the number of people logging on after eight

458
00:23:37,160 --> 00:23:40,879
Speaker 1: pm over the twelve months through February, we're up sixteen

459
00:23:41,000 --> 00:23:42,400
Speaker 1: percent from the year before.

460
00:23:43,240 --> 00:23:45,640
Speaker 3: Huh, So people have more work to do, or they're

461
00:23:45,680 --> 00:23:48,840
Speaker 3: more worried about getting replaced by AI or what's going on.

462
00:23:48,920 --> 00:23:52,439
Speaker 1: Yes, I would say yes to both. And they've also

463
00:23:53,080 --> 00:23:56,040
Speaker 1: now two people are doing the jobs of three, or

464
00:23:56,080 --> 00:23:57,960
Speaker 1: one is doing the job of two, or one is

465
00:23:58,000 --> 00:24:00,440
Speaker 1: doing the job of four, depending on industry.

466
00:24:00,520 --> 00:24:01,840
Speaker 4: You're in kidding.

467
00:24:02,040 --> 00:24:06,199
Speaker 1: In a similar vein Americans, by the way, and poorly

468
00:24:06,240 --> 00:24:09,480
Speaker 1: by the way, because it is it's a physical Newtonian

469
00:24:09,520 --> 00:24:13,160
Speaker 1: impossibility for one person to now be doing three people's

470
00:24:13,240 --> 00:24:16,640
Speaker 1: jobs and do them as well. So poorly is how

471
00:24:16,640 --> 00:24:20,800
Speaker 1: they get done, unless you're some like state government agency

472
00:24:20,840 --> 00:24:23,760
Speaker 1: where everybody's lazy and doesn't do any work. Not really,

473
00:24:23,800 --> 00:24:26,400
Speaker 1: one chimp could do the job before. People talking about

474
00:24:26,400 --> 00:24:30,440
Speaker 1: the real world, not the jip ran. Yeah, yeah, Americans

475
00:24:30,440 --> 00:24:33,320
Speaker 1: are side hustling like we're in a recession. Goes to

476
00:24:33,320 --> 00:24:37,560
Speaker 1: another story. The two job trend these days is about necessity,

477
00:24:37,680 --> 00:24:41,600
Speaker 1: not pursuing a passion. The share of working Americans holding

478
00:24:41,600 --> 00:24:45,640
Speaker 1: down multiple jobs rose to around five point four percent

479
00:24:45,800 --> 00:24:48,240
Speaker 1: during the first five months of the year. We haven't

480
00:24:48,320 --> 00:24:51,720
Speaker 1: seen that since the Great Crash of eight oh nine,

481
00:24:52,080 --> 00:24:57,440
Speaker 1: according to the Bureau of Labor Statistics. Hmmm, well that

482
00:24:57,920 --> 00:24:58,760
Speaker 1: probably is.

483
00:24:59,000 --> 00:25:00,440
Speaker 4: You know what follows.

484
00:25:00,240 --> 00:25:04,200
Speaker 3: The news that we had last year in the last

485
00:25:04,200 --> 00:25:06,240
Speaker 3: six months that people have maxed up their credit cards.

486
00:25:06,240 --> 00:25:09,320
Speaker 3: You max out your credit cards and then you.

487
00:25:09,440 --> 00:25:11,720
Speaker 1: Go get a side job to try to catch up

488
00:25:12,480 --> 00:25:15,679
Speaker 1: a couple of shift seven to eleven. Yeah, holding one

489
00:25:15,760 --> 00:25:17,600
Speaker 1: job at a time is on the way to becoming

490
00:25:17,640 --> 00:25:21,200
Speaker 1: antiquated or a luxury for emerging generations. I think part

491
00:25:21,200 --> 00:25:24,680
Speaker 1: of this is just that they're younger, but because it's funny,

492
00:25:24,680 --> 00:25:26,800
Speaker 1: I hadn't thought about this for years and years and years,

493
00:25:26,800 --> 00:25:30,879
Speaker 1: but we both have had side hustles early in our

494
00:25:30,960 --> 00:25:31,480
Speaker 1: radio cars.

495
00:25:31,480 --> 00:25:34,159
Speaker 3: When I was twenty three, shortly after I got out

496
00:25:34,200 --> 00:25:35,840
Speaker 3: of college, I had three jobs.

497
00:25:36,440 --> 00:25:40,080
Speaker 1: Yeah, yeah, I did all sorts of stuff. Anyway. Roughly

498
00:25:40,160 --> 00:25:43,640
Speaker 1: four in ten millennials and gen zers have side jobs,

499
00:25:43,680 --> 00:25:47,560
Speaker 1: according to new research by Deloitte. Again, I don't know,

500
00:25:47,640 --> 00:25:50,280
Speaker 1: I mean the rate has increased a little bit.

501
00:25:50,680 --> 00:25:52,879
Speaker 3: Actually, when you and I started working together when we

502
00:25:52,920 --> 00:25:59,320
Speaker 3: were twenty five, good lord.

503
00:25:56,359 --> 00:26:03,800
Speaker 1: I had such beautiful dreams, Katie transpirations and here you

504
00:26:03,880 --> 00:26:04,920
Speaker 1: both had great hair.

505
00:26:05,280 --> 00:26:08,600
Speaker 3: Thirty I never even did them. Thirty five years later,

506
00:26:08,640 --> 00:26:12,360
Speaker 3: were still stuck. But I had a side job then,

507
00:26:12,480 --> 00:26:14,680
Speaker 3: and you kept it. I was working on weekends at

508
00:26:14,680 --> 00:26:16,720
Speaker 3: a country bar DJing because it paid really well.

509
00:26:17,119 --> 00:26:18,000
Speaker 4: Yeah why not?

510
00:26:19,440 --> 00:26:21,520
Speaker 1: So, yeah, it's not crazy to have a side job,

511
00:26:21,640 --> 00:26:22,720
Speaker 1: especially pre kids.

512
00:26:23,640 --> 00:26:23,920
Speaker 2: I have.

513
00:26:26,400 --> 00:26:31,600
Speaker 1: Right, Michael's on foot Finder. It's tasteful stuff, just feet

514
00:26:31,720 --> 00:26:35,560
Speaker 1: feet erotica. Yeah, it's very nice. I had a club

515
00:26:35,640 --> 00:26:38,800
Speaker 1: DJing job as well, except it was an oldies club

516
00:26:38,800 --> 00:26:40,359
Speaker 1: and they would yell at me all the time because

517
00:26:40,400 --> 00:26:42,240
Speaker 1: I liked the music from the seventies a lot better

518
00:26:42,280 --> 00:26:44,680
Speaker 1: than like the fifties and sixties do op stuff, and

519
00:26:44,720 --> 00:26:47,720
Speaker 1: I played too much of that. So yeah, oh well,

520
00:26:48,119 --> 00:26:50,359
Speaker 1: not cut out for the gig. The biggest companies across

521
00:26:50,400 --> 00:26:53,960
Speaker 1: America are cutting their workforces. That's another article. Yeah, that's

522
00:26:54,040 --> 00:26:58,280
Speaker 1: plenty of that. And then the real message Andy Jassey,

523
00:26:59,040 --> 00:27:04,560
Speaker 1: the Amazon on chief, the real message he's sending to

524
00:27:04,640 --> 00:27:10,680
Speaker 1: employees on AI. Amazon chief Andy Jasse had a chilling

525
00:27:10,680 --> 00:27:13,560
Speaker 1: message for employees this week. AI is coming for your jobs.

526
00:27:14,480 --> 00:27:16,920
Speaker 1: But things that Amazon are more nuanced than that, right,

527
00:27:17,000 --> 00:27:20,960
Speaker 1: Stan Gallagher in the Wall Street Journal. The company is

528
00:27:21,040 --> 00:27:24,480
Speaker 1: unique among its big tech peers. Amazon's business model requires

529
00:27:24,480 --> 00:27:28,200
Speaker 1: a huge number of warehouse workers and delivery drivers. Company

530
00:27:28,240 --> 00:27:31,320
Speaker 1: reported one point five to six million full time employees

531
00:27:31,320 --> 00:27:34,679
Speaker 1: in its last quarterly filing, nearly seven times the total

532
00:27:34,720 --> 00:27:40,320
Speaker 1: of the next largest megacap tech giant. You know, it's

533
00:27:40,400 --> 00:27:42,400
Speaker 1: kind of obvious, but I hadn't really thought about that

534
00:27:42,400 --> 00:27:45,960
Speaker 1: that Amazon, among the tech giants, has seven times the

535
00:27:46,040 --> 00:27:48,160
Speaker 1: number of employees of the other tech giants.

536
00:27:48,280 --> 00:27:51,240
Speaker 3: Yeah, that the Yeah, that should be pointed out more

537
00:27:51,240 --> 00:27:52,919
Speaker 3: often as opposed to lumping them all together.

538
00:27:54,200 --> 00:27:56,840
Speaker 1: Yeah, that's actually up forty three percent from three years ago.

539
00:27:56,840 --> 00:27:59,600
Speaker 1: Blubb blah. But it's also the lowest of that efficiency

540
00:27:59,640 --> 00:28:02,200
Speaker 1: measure of any tech company producing more than one hundred

541
00:28:02,200 --> 00:28:08,760
Speaker 1: billion dollars in sales. That's revenue per employee. So Jay

542
00:28:09,160 --> 00:28:13,919
Speaker 1: Jasse's memo likely has the aim. More tech leaders are

543
00:28:13,960 --> 00:28:16,200
Speaker 1: propagating the view that job security in the age of

544
00:28:16,200 --> 00:28:21,240
Speaker 1: AI means learning to use it fast. Said in Vidio's

545
00:28:21,320 --> 00:28:23,640
Speaker 1: chief executive quote, You're not going to lose your job

546
00:28:23,680 --> 00:28:25,840
Speaker 1: to an AI, but you're going to lose your job

547
00:28:25,880 --> 00:28:30,000
Speaker 1: to somebody who uses AI. Well that's a good thing

548
00:28:30,160 --> 00:28:32,160
Speaker 1: to know, man.

549
00:28:32,200 --> 00:28:38,000
Speaker 3: I had my greatest chat GPT experience yesterday. I'm looking

550
00:28:38,040 --> 00:28:41,920
Speaker 3: at buying a bicycle, like a good bike for exercise,

551
00:28:42,200 --> 00:28:46,320
Speaker 3: and I was comparing two different gear changing systems on

552
00:28:46,360 --> 00:28:48,479
Speaker 3: two different used bikes I was looking at and I

553
00:28:48,560 --> 00:28:50,760
Speaker 3: just I just thought, I just thought, it can't do this.

554
00:28:50,760 --> 00:28:53,160
Speaker 4: This is too complicated and too obscure.

555
00:28:53,320 --> 00:28:56,600
Speaker 3: But I just put in there this set of letters

556
00:28:56,600 --> 00:28:59,920
Speaker 3: and numbers versus this set of let of numbers, letters

557
00:29:00,040 --> 00:29:07,520
Speaker 3: and numbers for expensive gear setting chain systems for bicycles.

558
00:29:07,640 --> 00:29:08,640
Speaker 1: And it printed.

559
00:29:08,720 --> 00:29:11,440
Speaker 3: It gave me back in a second like a rundown

560
00:29:11,480 --> 00:29:15,360
Speaker 3: from all the top cycling magazines, benefits, pros, cons, how

561
00:29:15,400 --> 00:29:17,240
Speaker 3: hard to work on, what kind of.

562
00:29:17,160 --> 00:29:19,840
Speaker 1: Writing you do, and everything. And it was amazing.

563
00:29:20,160 --> 00:29:22,360
Speaker 3: I mean it was absolutely amazing, something at Google could

564
00:29:22,360 --> 00:29:24,600
Speaker 3: have never ever done. And it did it instantly And

565
00:29:24,600 --> 00:29:26,800
Speaker 3: it would have taken me hours to come up with

566
00:29:26,840 --> 00:29:30,080
Speaker 3: that on my own, if it was even possible, right, Yeah,

567
00:29:30,120 --> 00:29:32,680
Speaker 3: and you can do that all the time with anything,

568
00:29:33,120 --> 00:29:36,280
Speaker 3: and so yes, it's going to eliminate a lot of jobs.

569
00:29:36,920 --> 00:29:39,880
Speaker 1: So one final note from mister Jasse There at Amazon.

570
00:29:39,920 --> 00:29:42,360
Speaker 1: He echoed that belief in a memo to workers this week,

571
00:29:42,360 --> 00:29:46,880
Speaker 1: imploring them to quote, be curious about AI. Those who

572
00:29:46,920 --> 00:29:49,680
Speaker 1: do quote will be well positioned to have high impact

573
00:29:49,880 --> 00:29:53,600
Speaker 1: and help us reinvent the company. He wrote. Yeah, By

574
00:29:53,600 --> 00:29:56,280
Speaker 1: effectively threatening a pink slip to those who don't, Jassy

575
00:29:56,320 --> 00:29:59,320
Speaker 1: at least guaranteed that the AI workshops at Amazon's offices

576
00:29:59,520 --> 00:30:00,640
Speaker 1: will be Yeah.

577
00:30:00,680 --> 00:30:02,440
Speaker 3: I think, at the very least, if you mess around

578
00:30:02,480 --> 00:30:04,959
Speaker 3: with it like we have, like what I did last night,

579
00:30:05,000 --> 00:30:07,960
Speaker 3: you realize, okay, it can do this sort of thing.

580
00:30:08,400 --> 00:30:10,760
Speaker 4: And if I did that sort of thing, I'd.

581
00:30:10,560 --> 00:30:15,400
Speaker 3: Realize I'm gonna lose that, and it would help you

582
00:30:15,520 --> 00:30:18,880
Speaker 3: better prepare for what's coming, as opposed to you.

583
00:30:18,960 --> 00:30:20,480
Speaker 4: Know, you're just going to ignore it and hope for

584
00:30:20,560 --> 00:30:20,920
Speaker 4: the best.

585
00:30:22,440 --> 00:30:22,600
Speaker 2: Yeah.

586
00:30:22,600 --> 00:30:25,920
Speaker 1: I remember in my early days of employment, Gladys there,

587
00:30:26,000 --> 00:30:28,400
Speaker 1: I was a fresh faced boy, great hair. As Katie

588
00:30:28,480 --> 00:30:30,520
Speaker 1: helpfully pointed out, I didn't have great hair even when

589
00:30:30,520 --> 00:30:33,440
Speaker 1: I was younger working at an ad agency. And the

590
00:30:33,640 --> 00:30:37,560
Speaker 1: art director, who is just a gifted artist, Oh my god,

591
00:30:37,640 --> 00:30:41,400
Speaker 1: he was so good. He recognized computer graphics and computer

592
00:30:41,800 --> 00:30:44,880
Speaker 1: art coming on the scene. And he did not whine,

593
00:30:45,080 --> 00:30:47,800
Speaker 1: he did not moan, he did not drink himself to death.

594
00:30:48,120 --> 00:30:52,560
Speaker 1: He dove into it. He just became an enthusiast. He's

595
00:30:52,640 --> 00:30:56,240
Speaker 1: not going to lose his job to computer graphics. He's

596
00:30:56,280 --> 00:30:59,000
Speaker 1: going to lose his job to somebody who's good at

597
00:30:59,040 --> 00:31:02,200
Speaker 1: computer graphics. So maybe that's the way to approach it. Yeah,

598
00:31:02,440 --> 00:31:04,880
Speaker 1: unless you're an accountant, like at a low level accountant,

599
00:31:05,120 --> 00:31:06,440
Speaker 1: you're just gonna lose your job. Todai.

600
00:31:06,800 --> 00:31:10,080
Speaker 4: Nobody's going to need you ever again for anything, even

601
00:31:10,120 --> 00:31:10,960
Speaker 4: in your proson likes you.

602
00:31:11,040 --> 00:31:13,840
Speaker 1: Either you're a bad person. Well, no, too far, I'm sorry,

603
00:31:13,880 --> 00:31:21,080
Speaker 1: that's too much, too much, Okay, stay with us. Did

604
00:31:21,080 --> 00:31:21,600
Speaker 1: you guys see this?

605
00:31:21,720 --> 00:31:24,440
Speaker 8: Several states just sued the company twenty three and me

606
00:31:24,880 --> 00:31:28,120
Speaker 8: to challenge its sale of more than fifteen million DNA profiles.

607
00:31:29,440 --> 00:31:31,480
Speaker 8: The profiles even includes some people in the news, and

608
00:31:31,520 --> 00:31:33,400
Speaker 8: you could tell why they don't want the info getting out.

609
00:31:33,560 --> 00:31:37,600
Speaker 8: California Governor Gavin Newsom is forty percent German and sixty

610
00:31:37,600 --> 00:31:43,880
Speaker 8: percent Golden bastl Next President Trump is one percent Irish

611
00:31:44,320 --> 00:31:45,320
Speaker 8: and ninety nine percent.

612
00:31:45,440 --> 00:31:45,880
Speaker 1: Nick rib.

613
00:31:50,240 --> 00:31:53,960
Speaker 8: And Finally, Elon Musk one percent is the father there.

614
00:31:53,960 --> 00:31:54,600
Speaker 1: You don't help this.

615
00:31:55,080 --> 00:31:58,600
Speaker 3: Oh that was a pretty good premise. That was pretty

616
00:31:58,640 --> 00:32:02,920
Speaker 3: good premise for a comedy bit comedy routine. My son

617
00:32:02,960 --> 00:32:04,240
Speaker 3: and I are gonna go to the Dodgers game at

618
00:32:04,240 --> 00:32:08,000
Speaker 3: Dodger Stadium tomorrow night. And uh so, I was buying

619
00:32:08,040 --> 00:32:10,880
Speaker 3: tickets on stubub and a parking pass thing came up

620
00:32:11,480 --> 00:32:13,560
Speaker 3: them working my way toward the Lakers because the same

621
00:32:13,600 --> 00:32:15,280
Speaker 3: guy that owns the Dodgers now owns.

622
00:32:15,120 --> 00:32:17,520
Speaker 4: The Lakers and one of the biggest deals ever. More

623
00:32:17,560 --> 00:32:18,280
Speaker 4: on that in a second.

624
00:32:18,640 --> 00:32:24,720
Speaker 3: But parking pass, do you spend seventy six dollars from

625
00:32:25,080 --> 00:32:27,720
Speaker 3: pretty close parking pass which they call the best value

626
00:32:27,800 --> 00:32:29,760
Speaker 3: on stubub, But seventy six dollars is a lot?

627
00:32:30,400 --> 00:32:30,600
Speaker 1: Yeah?

628
00:32:32,200 --> 00:32:34,640
Speaker 3: Or do you spend nineteen dollars, which is the cheapest

629
00:32:34,680 --> 00:32:37,800
Speaker 3: parking pass? But it's a thirty five minute walk? Thirty

630
00:32:37,880 --> 00:32:42,120
Speaker 3: five minutes is quite a walk, perfect weather, I could

631
00:32:42,200 --> 00:32:45,600
Speaker 3: use the exercises. You can tell by looking at me, Katie. Yeah,

632
00:32:45,680 --> 00:32:48,840
Speaker 3: that's well, you walk ahead, Katie. I vote for the walk.

633
00:32:48,840 --> 00:32:50,800
Speaker 1: I don't already want it. There a mile and a half.

634
00:32:51,040 --> 00:32:52,160
Speaker 4: I don't mind the walk there.

635
00:32:52,240 --> 00:32:54,239
Speaker 3: I'm just thinking about the walk back after I've had

636
00:32:54,320 --> 00:32:57,960
Speaker 3: three chili cheese dogs and a churro and a milkshake.

637
00:32:58,440 --> 00:33:02,160
Speaker 1: In the Denizens of the about the.

638
00:33:02,640 --> 00:33:04,880
Speaker 3: The guys with the bicycles and the little carriages will

639
00:33:04,920 --> 00:33:06,200
Speaker 3: be out and you can take one of those back

640
00:33:06,240 --> 00:33:08,160
Speaker 3: to the car. That's not a bad idea. Yeah, I'll

641
00:33:08,200 --> 00:33:11,040
Speaker 3: go with the cheapest. Always best to go with the cheapest. Anyway.

642
00:33:11,080 --> 00:33:15,200
Speaker 4: The same guy owns the Dodgers now owns the Lakers, right, yeah.

643
00:33:15,600 --> 00:33:19,080
Speaker 1: Ten. He was a longtime minority owner of the Lakers,

644
00:33:19,120 --> 00:33:20,960
Speaker 1: but he bought it from the Bus family for a

645
00:33:21,000 --> 00:33:24,920
Speaker 1: little over ten billion dollars, making it the richest deal

646
00:33:25,040 --> 00:33:26,160
Speaker 1: in sports history.

647
00:33:26,440 --> 00:33:27,719
Speaker 4: Ten billion dollars.

648
00:33:28,600 --> 00:33:28,800
Speaker 7: Yeah.

649
00:33:30,120 --> 00:33:31,920
Speaker 3: He owns a whole bunch of different teams, A long

650
00:33:32,000 --> 00:33:33,280
Speaker 3: list of teams. I don't even know some of the

651
00:33:33,320 --> 00:33:36,960
Speaker 3: sports involved. Oh yeah, yeah, let's see.

652
00:33:37,040 --> 00:33:44,680
Speaker 1: He owns the Dodgers in the la WNBA team, co

653
00:33:44,840 --> 00:33:49,680
Speaker 1: owner of Chelsea and the English Premier Soccer League's also

654
00:33:49,840 --> 00:33:53,040
Speaker 1: co owner of the newly formed CALLAC Formula One team.

655
00:33:53,160 --> 00:33:55,080
Speaker 4: Oh okay, that's car racing there.

656
00:33:55,120 --> 00:33:59,160
Speaker 1: You go really into the sports. I told Judy yesterday

657
00:33:59,240 --> 00:34:02,880
Speaker 1: at dinner, I saw this headline said, should have saved

658
00:34:02,880 --> 00:34:06,360
Speaker 1: dollar money and bought a sports franchise, But you would

659
00:34:06,360 --> 00:34:11,000
Speaker 1: have said no, in you buy a house. Ownership matters

660
00:34:11,040 --> 00:34:14,560
Speaker 1: in sports. Anybody who is a fan of a team

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00:34:14,680 --> 00:34:17,960
Speaker 1: that never seems to win. So, I wonder what this

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00:34:18,080 --> 00:34:20,800
Speaker 1: guy's dedication to. I mean, we've seen his dedication with

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00:34:20,880 --> 00:34:23,520
Speaker 1: the Dodgers to put together a team that wins it all.

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00:34:23,920 --> 00:34:25,600
Speaker 1: Is he going to do the same thing with the NBA,

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00:34:25,640 --> 00:34:28,320
Speaker 1: where you just throw pretty much unlimited money at the

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00:34:28,400 --> 00:34:30,480
Speaker 1: idea of let's have all the best players and freaking

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00:34:30,560 --> 00:34:34,040
Speaker 1: win this thing. Yeah, I wonder that's many have tried

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00:34:34,080 --> 00:34:36,799
Speaker 1: that in basketball. Sometimes it works, sometimes it doesn't, right

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00:34:37,880 --> 00:34:41,279
Speaker 1: having an all star team essentially, I suspect you'll give

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00:34:41,320 --> 00:34:43,480
Speaker 1: it a try, Yeah, give it a good try. In

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00:34:43,640 --> 00:34:46,960
Speaker 1: other Los Angeles news, there's quite a piece in the

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Speaker 1: Wall Street Journal about how filmmaking is pretty much in

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00:34:50,680 --> 00:34:55,920
Speaker 1: everywhere but Hollywood. It's a smallish minority of productions, sound recording,

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00:34:55,960 --> 00:34:58,680
Speaker 1: anything that actually happens in the LA area. It's just

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00:34:58,840 --> 00:35:05,439
Speaker 1: to expensive. If La County were a country, economy would

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00:35:05,440 --> 00:35:07,280
Speaker 1: be among the world's twenty largest.

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00:35:07,600 --> 00:35:09,200
Speaker 4: Wow, just La County.

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00:35:09,880 --> 00:35:12,719
Speaker 1: But that economy is ailing payroll employment is one percent

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00:35:12,800 --> 00:35:15,200
Speaker 1: lower at the end of this year than twenty nineteen.

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00:35:15,840 --> 00:35:17,759
Speaker 1: It's up five percent for the country as a whole.

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Speaker 1: We do a lot of segments and hours.

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Speaker 3: If you're missing, if we get the podcast Armstrong in

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Speaker 3: Getty on demand Armstrong and Getty