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Speaker 1: I am six forty. You're listening to the John and

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Speaker 1: Ken Show on demand on the Ihart radio app. Hey,

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Speaker 1: I got a health tip for you. Yellow dragon fruit.

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Speaker 1: Apparently it's viral on TikTok. Yellow dragon fruit can promote

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Speaker 1: regular bowel movements and less than the frustration of constipation.

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Speaker 1: So I just so I passed that along to you.

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Speaker 1: Thank you. Um, I never you know what a dragon

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Speaker 1: fruit is? Probably right, No, but I think I'm gonna

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Speaker 1: try it. A dragon fruit is really horrible to look at.

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Speaker 1: It's very common in Asian countries. When I traveled to Vietnam,

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Speaker 1: they were serving it and I tried it. It It was

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Speaker 1: like it didn't taste like much. This is a yellow

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Speaker 1: coloreds cut like these weird little it almost looks like

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Speaker 1: prickly ends on the outside of the inside. Does these

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Speaker 1: weird little dark seeds? I think I'd rather be constipated.

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Speaker 1: Sounds delicious. It's because the fiber. A lot of fruit

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Speaker 1: has fiber and help you. Like what they explained it here,

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Speaker 1: it can increase the weight and size of your stool

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Speaker 1: and soften it, which makes it easier to pass. Wow,

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Speaker 1: it sounds so pleasurable. Yeah, maybe it's worth loading up

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Speaker 1: just to have that moment. You don't eat any fruits,

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Speaker 1: so there's no chance of you consuming dragon fruits. A

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Speaker 1: bit exotic for anybody. I'm most Americans. I'm suspicious of

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Speaker 1: most food from there. I don't even like the name

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Speaker 1: dragon fruit. It just sounded sounds like something to die from.

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Speaker 1: Big story for us today comes from all over the

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Speaker 1: John and Ken listener world. Yes, we're aware of it,

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Speaker 1: and it's gonna be hard for people in a certain

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Speaker 1: part of San Francisco to get their Osiago cheese bagel.

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Speaker 1: And why do we say that because John Cobelt famously

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Speaker 1: for many years ago complaint that when we went to

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Speaker 1: this particular grocery store he'd have to go there and

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Speaker 1: line up behind a thin west Side women looking to

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Speaker 1: get their Osiago cheese begel. Yes, and US Siago women

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Speaker 1: is like the catch all term for these uh, fussy, rich,

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Speaker 1: skinny women who are annoying as hell. Oh you know,

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Speaker 1: I ran into three of them in one day last weekend.

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Speaker 1: Three of them in one day. Went to a farmer's

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Speaker 1: market to a fruit stand. My wife wanted to get strawberries,

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Speaker 1: and next to me, a woman goes, I think he's

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Speaker 1: pesticide free? Are they's past side free taking toxic? Exactly

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Speaker 1: that voice? And the guy goes, uh, you know, yeah,

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Speaker 1: we're certified, but I don't have any paperwork. All right,

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Speaker 1: they're pesticide free. Okay. Night before at the restaurant, is

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Speaker 1: this dish gluten free? Is the pasta and pasta gluten free?

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Speaker 1: And they all have that voice. But they're not as vegans,

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Speaker 1: are they? Because asiago cheese? Would I don't know they're

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Speaker 1: not vegans if they're having that cheese, but they're they're

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Speaker 1: they do these these fussing people. Then then all right,

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Speaker 1: I'm at the deli counter in the grocery store. I

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Speaker 1: swear to god, this all happened with you show. This

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Speaker 1: could be the whole show. And so I'm saying at

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Speaker 1: the grocery I'm ordering a regular sandwich and this woman

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Speaker 1: next to me she orders something and um. The woman

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Speaker 1: goes okay, and she goes, well, aren't you going to

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Speaker 1: change your gloves? Oh? I like that, And the girl

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Speaker 1: looks there, aren't you going to change your gloves? Well,

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Speaker 1: I said I She said, I just put them on.

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Speaker 1: All I touched is a pencil. Well, aren't you supposed

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Speaker 1: to change them, and everyone is staring at this lady

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Speaker 1: and she looks around like, what what did I do?

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Speaker 1: And then she goes, well, I'm ordering for someone who's sick.

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Speaker 1: And the girl glared at her like they just stared

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Speaker 1: at each other for good five seconds, and she good service.

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Speaker 1: You always complain about getting good services on that pencil.

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Speaker 1: Maybe I got the feeling you're one of these. I

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Speaker 1: told you that I do when people handle cash and

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Speaker 1: then they go and they'll make my sandwich, I turn

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Speaker 1: around and walk out. Do you know how dirty money

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Speaker 1: is another health tip? I have done that. I'm sure

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Speaker 1: you have. You're right teetering on the border, and money

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Speaker 1: can even have a cocaine on it, as we found out. Right, Yes,

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Speaker 1: there you go. It's found on many dollar bills. Is

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Speaker 1: not all bad anyway, I'm sorry, go on. Well, the

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Speaker 1: reason we're talking about Whole Foods is because just about

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Speaker 1: a year ago they opened up a giant location, actually

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Speaker 1: calling it a flagship location in San Francisco's Tenderloin district,

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Speaker 1: and the news today it's closed. They're insisting when asked

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Speaker 1: by the media, this is temporary. In fact, the line is,

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Speaker 1: if we feel we can ensure the safety of our

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Speaker 1: team members in the store will evaluate a reopening of

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Speaker 1: our Trinity location. That's called that because it's at Trinity

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Speaker 1: Place in San Francisco's Tenderloin district. Now, well it's town.

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Speaker 1: That's where they had the open area drug ball right right,

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Speaker 1: That's exactly why they've had too much. The company cited

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Speaker 1: deteriorating street conditions around drug use and crime near the

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Speaker 1: store as the driving factors behind the closure. Well, you know,

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Speaker 1: this is why people can see the truth that San Francisco,

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Speaker 1: the crime is out of control and the living conditions

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Speaker 1: are disgusting. Because this week there was this statistical pushback

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Speaker 1: by the by the progressive newspapers and by people like

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Speaker 1: Scott Wiener, the idiot representative in San Francisco only in

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Speaker 1: our crime statistics show, and they tried to focus on murders,

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Speaker 1: you know, are down a little bit, But that's not

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Speaker 1: what people react to. If people are trying to get

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Speaker 1: to the Whole Foods to get their gluten free, pesticide

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Speaker 1: free lunch, and they've got these deranged drug addicts leering

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Speaker 1: and screaming at them with foam coming out of their

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Speaker 1: mouths and dripping onto their beards. They think crime is

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Speaker 1: crazy and they don't want to see your statistics. But

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Speaker 1: but but let's make another thing clear with that what

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Speaker 1: you just said. It doesn't have to be crime. It

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Speaker 1: can be just the quality of life. If you're uncomfortable

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Speaker 1: around a bunch of drug add rug addicts stumbling around

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Speaker 1: and foaming at the mouth, doesn't matter if they don't

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Speaker 1: attack you, you don't want to be there. Yeah, and

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Speaker 1: everything's why somebody people have left that city once they

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Speaker 1: got the option to work from somewhere else. They either

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Speaker 1: did that or they just took another job in the

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Speaker 1: left because every one of those people might kill you

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Speaker 1: under a different circumstance. So maybe so maybe they haven't

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Speaker 1: killed anybody that day, but you'll walk by them and

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Speaker 1: you don't know what's going to happen next. So if

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Speaker 1: you walk enough through San Francisco, you might feel ten, twelve,

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Speaker 1: fifteen times, oh my god, that guy could kill me.

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Speaker 1: That guy could kill me. Right, So by time you

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Speaker 1: get to Whole Foods to get your pestip side free lunch,

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Speaker 1: you're you're a complete nervous wreck. And so, yes, you

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Speaker 1: think crime is out of control, because what they're doing

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Speaker 1: used to be a crime. Used to be something the

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Speaker 1: police came and took care of. And I actually read

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Speaker 1: some progressive writer today who said that his fellow progressives

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Speaker 1: probably should knock it off trying to use the statistical

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Speaker 1: argument with people. It's not working. It's just making everybody

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Speaker 1: more angry. Oh it's also you're right, it's got nothing

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Speaker 1: to do with the truth here that people are not

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Speaker 1: feeling comfortable with the quality of life. And yeah, I'm

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Speaker 1: looking at it. Another chart here of the crime statistics.

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Speaker 1: We have all often talked on the show about how

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Speaker 1: some people don't even report the crimes anymore because it

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Speaker 1: doesn't be any consequences to the crime. And this story

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Speaker 1: also mentions that the city is short a number of

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Speaker 1: police officers. But here's the thing. If you tolerate the

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Speaker 1: behavior doesn't matter. If these people don't attack you, the

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Speaker 1: fact that they're there is going to drive you away.

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Speaker 1: You're not going to want to be in a place

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Speaker 1: where there's that many homeless people, with there's that many

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Speaker 1: drug addicts, where it's just not a comfortable place to go.

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Speaker 1: And the tenderlod has completely become that place. I don't

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Speaker 1: know what Whole Foods was thinking when just a year

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Speaker 1: ago they opened this up. Here's already seen the problems there.

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Speaker 1: Here's the headline in the Daily Mail Whole Food San

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Speaker 1: Francisco shuts after just one year because of rampant drug

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Speaker 1: use in the restrooms, violence towards staff, and the theft

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Speaker 1: of all two hundred and fifty shopping baskets, all two

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Speaker 1: hundred and fifty. The supervisor for that neighborhood told the

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Speaker 1: Daily Mail that he went there to shop and he

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Speaker 1: was told no baskets. They've all been stolen at San Francisco.

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Speaker 1: Supervisor Mat Dorsey, he's also the one calling for the

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Speaker 1: hiring of more police officers, says he said people were

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Speaker 1: acting out in the store and Whole Foods can no

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Speaker 1: longer guarantee the safety of its employees right acting out right,

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Speaker 1: So death doesn't show up in the crime statistic. But

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Speaker 1: it's a crazy guy not wearing any pants, waving his

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Speaker 1: arms in the air and screaming, threatening people. And you

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Speaker 1: could call the cops, but they're not going to show up,

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Speaker 1: and if they do show up, they're not going to

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Speaker 1: do anything. So no crime on the books. There's I

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Speaker 1: would think there's thousands of crimes that are unreported or

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Speaker 1: no longer considered crimes anymore. Now, all right, when we

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Speaker 1: come back, Well, first thing that will happen is a

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Speaker 1: chance for money. We are continuing to have our inflation

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Speaker 1: compensation contest here on KFI. So a keyword will be revealed,

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Speaker 1: follow the instructions and maybe you can win the money.

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Speaker 1: And then what about the mayor. The mayor has had

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Speaker 1: a few things to say. San Francisco Mayor London Breed

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Speaker 1: talks out not about the Whole Foods closure, but about

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Speaker 1: the murders of the cash app founder Bob Lee, and

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Speaker 1: there was also a vicious attack on a man who

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Speaker 1: used to be a fire commissioner in the city. Johnny

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Speaker 1: Ken caf I AM six forty live everywhere the iHeartRadio app.

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Speaker 1: But on new gloves. Please please put on new gloves.

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Speaker 1: I get grossed out by just germs on things. Okay,

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Speaker 1: it's just one of my things. You're listening to John

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Speaker 1: and Ken on demand from KF I Am six forty.

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Speaker 1: I want to put this another way because during the

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Speaker 1: break there was think about this and it just frustrates me.

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Speaker 1: A lot of people are talking about San Francisco and

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Speaker 1: quote crime because obviously the stabbing death of this man

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Speaker 1: last week, a wealthy white man from the tech world

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Speaker 1: named Bob Lee right, that just vaulted the story to

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Speaker 1: the front of many websites. Then there was a story

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Speaker 1: similar a X fire commissioner by the name of Don

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Speaker 1: Carmenani was beaten outside his mother's home by it looks

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Speaker 1: like a vagrant. Here's the thing though, immediately there's a

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Speaker 1: lot of stories about San Francisco and crime and safety,

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Speaker 1: and this is what sent the progressive media outlets to

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Speaker 1: show the crime stats and say, doesn't look to be

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Speaker 1: the case. That's all a distraction. Yes, what we're really

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Speaker 1: talking about, and we just talked about it in the

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Speaker 1: last segment with the Whole Foods is the whole quality

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Speaker 1: of life is dropping. And also I pointed out a

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Speaker 1: lot of people left San Francisco, so there's less people

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Speaker 1: to attack. So some of the homicide and crime numbers

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Speaker 1: are a little off because there's just less people around.

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Speaker 1: A lot of people be victims. But I think it's

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Speaker 1: all a distraction, yea from the overall appalling site that

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Speaker 1: you see with the open air, widespread drug use, and

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Speaker 1: you have stores. Remember it was a Walgreen's closing because

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Speaker 1: of people stealing stuff off the shells and stuff like that.

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Speaker 1: And some of these may not be crimes or big crimes,

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Speaker 1: but it's a whole quality of life issue. And it

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Speaker 1: goes back to remember the broken window theory. Oh yeah,

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Speaker 1: if you tolerate the small stuff, it can get bigger cars, burglaries,

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Speaker 1: shoplifting stratospheric and people are victimized. I mean I think

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Speaker 1: it like like almost half of people in San Francisco

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Speaker 1: have experienced a car breaking. Yeah, I think that was

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Speaker 1: the number. All right, So yeah, people are gonna think

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Speaker 1: San Francisco's crime ridden because it is. If you have

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Speaker 1: this many people all agreeing, that means that's the situation.

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Speaker 1: That's the truth, that's the reality. And the progressives are

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Speaker 1: liars because it's their policies that created this hell. So

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Speaker 1: they were going to go to their dying day trying

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Speaker 1: to pretend it's not happening, that you're not seeing what

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Speaker 1: you're seeing, that what you see happening is not really happening,

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Speaker 1: and that's that's there. That's their motivation because their lives,

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Speaker 1: their professional lives, are fully invested in destabilizing normal life

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Speaker 1: and they have succeeded, and now they're being called on it.

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Speaker 1: It's like what what, No, No, it's not look over here.

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Speaker 1: And by the way, if you had murders going on

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Speaker 1: in bad neighborhoods or homeless people killing homeless people, most

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Speaker 1: of the public and the media doesn't care. But when

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Speaker 1: he gets ignored, exactly, you get a rich guy who's

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Speaker 1: prominent in his profession, Bob Lee getting getting stabbed to

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Speaker 1: death in Nancy Pelosi's neighborhood. That's a sign like, oh,

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Speaker 1: you know, you got the fire commissioner getting getting whacked

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Speaker 1: over the head. Oh oh, it means something else is

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Speaker 1: going on here. This isn't the usual gang shooting each

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Speaker 1: other up. So the response from there London breed and

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Speaker 1: it's not about the whole food closing, which is really

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Speaker 1: a big story and tells him more about what's going

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Speaker 1: on than these horrible attacks. But she did talk about

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Speaker 1: both the death of Bob Lee and this x fire

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Speaker 1: commissioner being hit. His name was Don Carmenani, And she's

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Speaker 1: trying to explain this was last weekend, that these incidents

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Speaker 1: may not be what they appear to be, and that

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Speaker 1: they may not be examples of senseless crimes, which is intriguing.

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Speaker 1: Now the only story we know about is the former

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Speaker 1: fire commissioner. Apparently a defense attorney for the man that

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Speaker 1: attacked him says that the x fire commissioner pepper sprayed

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Speaker 1: him first, so he attacked him his self defense. Wait,

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Speaker 1: so we're supposed to believe the fire commissioner guy started

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Speaker 1: the trouble and that there and there was no reason

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Speaker 1: for the pepper spray. Well, let's listen to the report.

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Speaker 1: This is from caron Channel four reporter Dan Kerman. Former

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Speaker 1: San Francisco Fire Commissioner Don Carmignani have released this video

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Speaker 1: which say shows Wednesday night's brutal attack of their client

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Speaker 1: by a man with a metal pipe. Carmagnani's father says

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Speaker 1: his son suffered a broken jaw in the Marina District attack,

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Speaker 1: which resulted in fifty stitches in his face and surgery

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Speaker 1: to remove a piece of his skull. The suspect, Garrett Doughty,

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Speaker 1: now faces multiple charges including assault with a deadly weapon,

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Speaker 1: aggravated battery with serious bodily injury, an assault with force

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Speaker 1: likely to produce great bodily injury. But the public defender

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Speaker 1: representing Dody says that's not the full story. Mister Doughty

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Speaker 1: did not start this altercation, that mister r mcnanni approached

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Speaker 1: mister Doughty and threatened mister Doughty and sprayed him with

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Speaker 1: pepper spray. Any use of pepper spray is not seen

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Speaker 1: in the segment of video. Carmignani's a attorneys have released,

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Speaker 1: but in a statement from his hospital bed, Carmagnani says

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Speaker 1: three homeless men set up an encampment in front of

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Speaker 1: his mother's home that Wednesday morning. He says, my family

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Speaker 1: has had prior interactions with these individuals who have made

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Speaker 1: repeated threats of violence to my family members. As a result,

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Speaker 1: my mother did not feel safe leaving her home. He

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Speaker 1: also says calls that morning to nine when one were ignored,

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Speaker 1: and during the day, he says, my mother and girlfriend

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Speaker 1: informed me that these individuals were still in front of

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Speaker 1: her house and had been openly consuming drugs and had

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Speaker 1: exhibited extremely aggressive behavior towards passers by. He says when

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Speaker 1: he arrived at his mother's home that evening and asked

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Speaker 1: them to leave, two of the individuals moved toward me

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Speaker 1: in a threatening manner. The incident culminated with one of

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Speaker 1: the individuals producing a piece of metal and striking me

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Speaker 1: countless times on the head. Carmagnani says, as a native

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Speaker 1: San Franciscan and lifelong marine a resident, I firmly believe

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Speaker 1: that the city needs to promote the safety of its

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Speaker 1: law abiding citizens over those who chose to do drugs

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Speaker 1: and commit violent acts in our streets. I am hopeful

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Speaker 1: that this unfortunate incident will lead to policy changes to

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Speaker 1: better protect the interests of San Francisco residence and that

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Speaker 1: my attackers will be fully prosecuted. Carmignani is expected to

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Speaker 1: make a full recovery. So the comments from Mayor Breed,

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Speaker 1: which wasn't specific about this, that leads it to believe, well,

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Speaker 1: you know, if he sprayed pepper spray and the vagrant first,

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Speaker 1: the vagrant came back and him in self defense, these

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Speaker 1: stories are not what you think they are. Now. I

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Speaker 1: don't know what the Bob Lee story is flying that

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Speaker 1: there's something there that's going to shock us. The pepper spray,

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Speaker 1: the pepper sprays, the self defense, he's defending himself, his

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Speaker 1: girlfriend and his mother. There again we go back to

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Speaker 1: the quality of life. They've taken over the area and

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Speaker 1: you just want them to move. And the next thing

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Speaker 1: you know, he's got a crowbar. After they're living in

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Speaker 1: front of the house, doing drugs openly at aggressive against

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Speaker 1: two women, and you call nine one one and nobody

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Speaker 1: shows up. You call nine one one again and nobody

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Speaker 1: shows up. And then you go to the guys and say,

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Speaker 1: you guys got to get out of here. And then

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Speaker 1: they get menacing and threatening, so you pull the pepper

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Speaker 1: spray to defend yourself. They pull out a crowbar, and

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Speaker 1: their defense attorney, you know, some some dirt bag left

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Speaker 1: wing ACLU reject goes, well, you don't really have the

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Speaker 1: whole story. The fire commissioner was the aggressor here. It's like,

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Speaker 1: screw you and your phony stories, always playing ping pong,

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Speaker 1: We're always trying to back the story back. Oh no, no,

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Speaker 1: it was they who in Yeah, that's right, it's it's

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Speaker 1: it's the fire commissioner and his mother and girlfriend. They

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Speaker 1: were the bad guys, not the people living in the

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Speaker 1: tents and doing up drugs and acting crazy. Get out

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Speaker 1: of here. So the world so sick of all the

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Speaker 1: lies and all the b s const well, everything is

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Speaker 1: upside down. The vagrants take over the sidewalk in front

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Speaker 1: of your home. They're disgusting mess. You ask them to move,

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Speaker 1: they get aggressive. You carry now pepper spray because you

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Speaker 1: think it might get out of control, and it did.

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Speaker 1: But just because you'd used it first before he smashed

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Speaker 1: you with a crowbar makes it not his fault. Holy

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Speaker 1: who started all this? Yeah, they were threatening, they're living

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Speaker 1: out in public. They're the ones doing the drugs. They're

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Speaker 1: the ones terrorizing his girlfriend and mother. Good lucky it

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Speaker 1: was only pepper spray. They yeah, hit it right. Next

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Speaker 1: time it's gonna be something old, stronger, and it's gonna

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Speaker 1: you're gonna see it's gonna come to that eventually, it's

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Speaker 1: gonna come to that. All right. We got more coming out.

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Speaker 1: John and Ken KFIAM six forty. We're live everywhere the

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Speaker 1: iHeartRadio app. You're listening to John and Ken on demand

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Speaker 1: from kf I AM sixty. A reminder first word of

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Speaker 1: the week that the Moistline is finding its way back

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Speaker 1: around in just three days to the John and Ken Show.

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Speaker 1: So you can still leave a message, well, you can

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Speaker 1: brand new leave a message for the week. Use the

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Speaker 1: iHeart Radio app. It's the microphone icon to do that,

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Speaker 1: or called the toll free number one eight seven seven

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Speaker 1: Moist eighty six. The number is one eight seven seven

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Speaker 1: six six four seven eight eight six. I'm working on

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Speaker 1: a new idea. What's that. We're gonna have a new desk.

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Speaker 1: What's excited to have a new desk. We're gonna have

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Speaker 1: to work on a head one in a long time. Yeah,

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Speaker 1: it's gonna because we're gonna be talking about this next hour.

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Speaker 1: It's the Gavin Newsom is not maybe is running for

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Speaker 1: president desk something like that, because it's really getting bothersome.

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Speaker 1: I know, he's getting very aggressive. Apparently he must have

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Speaker 1: gotten a testosterone injection. The video went viral. You would

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Speaker 1: talking about this the other day when he was in

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Speaker 1: Florida and they started singing. I think it was he

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Speaker 1: got the whole world in his hands. Yeah, and he's

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Speaker 1: in the background clapping along. But everyone says he looks

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Speaker 1: weird and nerdy and strange. Well, he's a goof. He's

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Speaker 1: not one of these guys that has a natural rhythm

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Speaker 1: that's exactly right. And I say this is a he's

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Speaker 1: a wonk, and it's to become clear. I'm like, all right,

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Speaker 1: well that went viral. That's your first shot. Because he

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Speaker 1: took a big trip to the South and he got

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Speaker 1: some media coverage. Just wait till he's actually out there

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Speaker 1: running every day for president. You're gonna hear this stuff

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Speaker 1: and see this stuff, and you're gonna go, who is

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Speaker 1: this fool? He projects goofball, and he's trying to compensate

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Speaker 1: by being very strong and aggressive, you know, with these

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Speaker 1: with these insults and these taunts of Ron De Santis

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Speaker 1: and others, and Trump, right's all geeky policy crap. Right,

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Speaker 1: it's his I'm gonna buy a bunch of abortion pills. Now,

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Speaker 1: that'll show him. Yeah, no, no, But he's paying attention

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Speaker 1: to this. But he also realized, well, you know sometimes

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Speaker 1: in these appearances, I've always got my seat and tie on.

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Speaker 1: I gotta look like I'm one of the people. So

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Speaker 1: I'll start clapping along here. And and it just came out.

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Speaker 1: He doesn't have the Bill Clinton Obamba touch, even the

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Speaker 1: Trump touch, where Trump could really relate to the common guy.

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Speaker 1: He doesn't have any of that. And what we know

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Speaker 1: that because he came up rich, his father was connected

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Speaker 1: to the Getty family. He had everything he wanted. And

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Speaker 1: that's how he acts. Spoiled, slick haired bratt. Yeah it is.

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Speaker 1: And so he's he's trying to create a new persona

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Speaker 1: for himself because he never acted like this before. Right,

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Speaker 1: I'm gonna get down with the people here or this

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Speaker 1: aggressive stuff, this taunting. I'm gonna be bald. Now I'm

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Speaker 1: gonna talk loud and be bald. It's like you are

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Speaker 1: gonna get pillaried. California is such a disaster right now,

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Speaker 1: he's shouting about, oh, abortion pills. Nobody wants to talk

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Speaker 1: about abortion pills. They're want to talk about all the

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Speaker 1: disgusting homeless people that have destroyed San Francisco. That's what

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Speaker 1: people are going to talk about. So we'll get into

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Speaker 1: this after two o'clock. But Doug, kid yourself. He is

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Speaker 1: running for president. It may not be twenty twenty four,

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Speaker 1: but he wants to be ready. He's going to jump

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Speaker 1: out in case Biden says goodbye. I think he's gonna

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Speaker 1: be one of the big people to run. Biden's gonna

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Speaker 1: He's gonna pull Biden's plug. Oh he could so, I

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Speaker 1: think busily Biden told someone the other day, I'm ready,

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Speaker 1: I'm running. I don't think that's the real Biden. I

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Speaker 1: think that's a fake Biden they put out there. I

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Speaker 1: think the real Biden's on a machine. So it's some

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Speaker 1: sort of suit that you can Yeah, yeah, it's like that.

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Speaker 1: Remember that movie Labriate Disguise. Remember that movie Dave where

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Speaker 1: they put out a body double. Yeah, and the Raputin

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Speaker 1: has a body double. Stam who's saining had a body double.

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Speaker 1: I think Biden does too. And there and the real

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Speaker 1: Biden's hooked up to tubes. Yeah right now, this and

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Speaker 1: it's it's one of my favorite personal topics. The l

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Speaker 1: Sagondote times trying really hard to explain once again, why

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Speaker 1: did it rain so much this winter? We're supposed to

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Speaker 1: be in a drought and we're supposed to continue all

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Speaker 1: our stories about how you have to conserve California's out

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Speaker 1: of control and water use. What happened? It rained too much?

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Speaker 1: Find me some weather people to possibly explain this and

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Speaker 1: we can look like we're not foolish. So the woman

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Speaker 1: that got the assignment is a Grace Twoey and the

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Speaker 1: headline is Twoey volcano, climate change, bad luck. What's the

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Speaker 1: mystery behind California's epic atmospheric river storms? In this article,

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Speaker 1: there numbered at thirty one that hit the state in

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Speaker 1: a matter of months. John loves the atmospheric river. In

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Speaker 1: other words, banned. They just made up that term in

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Speaker 1: twenty seventeen. I read twenty seventeen. That's when it used

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Speaker 1: to be before they buried deep in scholarly weather research papers.

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Speaker 1: But like the National Meteorological Agency made it an official

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Speaker 1: term six years ago, and that's why it suddenly turned up.

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Speaker 1: So the problem was, we went along with the scientists

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Speaker 1: and the climatologists last fall and said it's probably gonna

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Speaker 1: be a lonninia winter, drier than normal. What happened? So

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Speaker 1: they sent this reporter out there, and my favorite is

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Speaker 1: UCLA climate scientist Daniel Swain. We don't know yet why

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Speaker 1: we got all these storms. It could be anything from

424
00:23:53,280 --> 00:23:58,399
Speaker 1: the prepare yourself for this, the Hunga Tungai Hunga haha

425
00:23:58,560 --> 00:24:01,639
Speaker 1: pai volcanic eruption last break, which I think is Hawaii,

426
00:24:03,160 --> 00:24:05,920
Speaker 1: which injected a record breaking amount of water vapor into

427
00:24:05,960 --> 00:24:11,679
Speaker 1: the stratosphere. Anyway, that's not represented well in seasonal forecasts. No,

428
00:24:11,840 --> 00:24:19,720
Speaker 1: he's seriously, I saw that the Hunga Tonga Hunga hia pie. Hey,

429
00:24:19,960 --> 00:24:23,520
Speaker 1: do you know what? They cannot accept that there is

430
00:24:23,720 --> 00:24:28,080
Speaker 1: no way to predict weather that far ahead. Exactly there

431
00:24:28,160 --> 00:24:31,440
Speaker 1: isn't It's impossible. We don't know enough. But they're paid

432
00:24:31,480 --> 00:24:33,680
Speaker 1: to do this, so they have to come up with something, right.

433
00:24:33,800 --> 00:24:37,200
Speaker 1: So now now they're flopping around pulling up a volcano

434
00:24:37,240 --> 00:24:41,320
Speaker 1: that nobody's heard of. It's like, okay, it's the volcano

435
00:24:41,359 --> 00:24:42,879
Speaker 1: that did it. Man, Maybe it is, I don't know.

436
00:24:43,160 --> 00:24:48,359
Speaker 1: But the thing is they had volcano happened before that.

437
00:24:49,040 --> 00:24:52,000
Speaker 1: They just never thought that the moisture would be involved

438
00:24:52,080 --> 00:24:55,240
Speaker 1: in producing these storms. And they still don't know if

439
00:24:55,240 --> 00:24:58,040
Speaker 1: that's true, but they have to throw out something. It

440
00:24:58,119 --> 00:25:01,159
Speaker 1: could also be an unusual trend position from La Nina

441
00:25:01,240 --> 00:25:05,560
Speaker 1: to Helenino. Wow, caught us by surprise. We predicted dry,

442
00:25:06,000 --> 00:25:10,040
Speaker 1: cooler and instead we got really wet, or he added,

443
00:25:10,560 --> 00:25:12,200
Speaker 1: this is a good one. It just could be random

444
00:25:12,240 --> 00:25:16,080
Speaker 1: bad luck in a sense, good luck. Right. They talked

445
00:25:16,080 --> 00:25:18,719
Speaker 1: about how we needed rain what I noticed in the story.

446
00:25:18,920 --> 00:25:21,240
Speaker 1: Of course, by the end they're saying, oh, everything's gonna

447
00:25:21,240 --> 00:25:23,159
Speaker 1: be wetter now, the wets are gonna be wetter and

448
00:25:23,200 --> 00:25:26,640
Speaker 1: the drys are gonna be dryer. They can't sighting Gavin Newsom. Again,

449
00:25:26,720 --> 00:25:29,920
Speaker 1: they can't say that because they don't know what caused this.

450
00:25:31,240 --> 00:25:34,680
Speaker 1: Of course, if they think it's a volcano. They ended

451
00:25:34,720 --> 00:25:37,800
Speaker 1: up with a wet La Nina year, which isn't supposed

452
00:25:37,840 --> 00:25:41,639
Speaker 1: to happen, So they have no idea what caused this,

453
00:25:41,800 --> 00:25:45,399
Speaker 1: except you've had wet leinners before like this, This is

454
00:25:45,440 --> 00:25:48,600
Speaker 1: not unheard of. That that that in fact, we had

455
00:25:48,640 --> 00:25:51,760
Speaker 1: a lot significantly more rain than this as recently as

456
00:25:51,800 --> 00:25:54,440
Speaker 1: two thousand and five, and we had more rain in

457
00:25:54,520 --> 00:25:59,680
Speaker 1: this in nineteen ninety eight, and it was a big

458
00:25:59,760 --> 00:26:03,119
Speaker 1: rain year. They tried Chad Heck to research and operations

459
00:26:03,160 --> 00:26:07,080
Speaker 1: meteorologist at the Center for Western Weather and Water Extremes. John,

460
00:26:07,119 --> 00:26:08,960
Speaker 1: do you know that place, the Center for Western Weather

461
00:26:08,960 --> 00:26:11,560
Speaker 1: and Water Extremes. I've never heard the scripts institution. I'm

462
00:26:11,560 --> 00:26:14,000
Speaker 1: sure it's a fine organization. He tried to explain it

463
00:26:14,040 --> 00:26:17,080
Speaker 1: because many of these atmospheric rivers came from further south

464
00:26:17,080 --> 00:26:20,560
Speaker 1: and they moved slowly after making landfall and came later

465
00:26:20,560 --> 00:26:23,960
Speaker 1: in the season than prior years. But didn't really couldn't

466
00:26:24,000 --> 00:26:26,040
Speaker 1: really explain it. Just wanted to say what seemed to

467
00:26:26,080 --> 00:26:29,280
Speaker 1: have happened, right, Oh, they can describe it after the fact.

468
00:26:31,280 --> 00:26:34,639
Speaker 1: Anybody can do that. What happened, Well, here's what happened,

469
00:26:34,680 --> 00:26:38,040
Speaker 1: Why it happened, who the hell knows. They don't have

470
00:26:38,240 --> 00:26:40,960
Speaker 1: They only have records going back into the late eighteen hundreds.

471
00:26:41,200 --> 00:26:44,439
Speaker 1: They only have satellite data for this kind of stuffed

472
00:26:44,440 --> 00:26:49,920
Speaker 1: since the nineteen nineties. On top of that, California had

473
00:26:49,960 --> 00:26:53,160
Speaker 1: its fifth coldest March in one hundred and twenty nine years. Now,

474
00:26:53,240 --> 00:26:55,360
Speaker 1: this is where we always like to say weather records

475
00:26:55,480 --> 00:26:57,960
Speaker 1: should really go back a lot further than that. But

476
00:26:58,600 --> 00:27:02,959
Speaker 1: this is also something that surprised the idiots at the

477
00:27:02,960 --> 00:27:07,960
Speaker 1: Osagundo Times because they like the report that well, last

478
00:27:08,080 --> 00:27:10,800
Speaker 1: March was one of the warmest marches in the history

479
00:27:10,800 --> 00:27:13,360
Speaker 1: of the In fact, last year's March was the eleventh warmest,

480
00:27:13,680 --> 00:27:16,080
Speaker 1: and that fits with where they go with all the

481
00:27:16,119 --> 00:27:18,399
Speaker 1: stories that we're not going to get any water. Have

482
00:27:18,520 --> 00:27:20,760
Speaker 1: we get warmer temperatures? Have They don't know? This winter

483
00:27:20,840 --> 00:27:22,560
Speaker 1: came along and we got tons of water. We got

484
00:27:22,600 --> 00:27:24,679
Speaker 1: a really cold march. It's what do you do with that?

485
00:27:24,880 --> 00:27:27,600
Speaker 1: It's random and if you look exactly, if you look

486
00:27:27,680 --> 00:27:30,680
Speaker 1: at the I think we have one hundred and thirty

487
00:27:30,720 --> 00:27:32,840
Speaker 1: or one hundred fifty years or so weather records I

488
00:27:32,880 --> 00:27:35,880
Speaker 1: think goes back to the eighteen seventies, you'll see there's

489
00:27:35,920 --> 00:27:39,119
Speaker 1: a lot of randomness like that. And the only line

490
00:27:39,160 --> 00:27:41,960
Speaker 1: in these stories that made any sense is the way

491
00:27:42,000 --> 00:27:45,320
Speaker 1: it's always worked ever since we settled as a modern

492
00:27:45,359 --> 00:27:49,480
Speaker 1: society is California gets most of its usable water from

493
00:27:49,520 --> 00:27:52,760
Speaker 1: just a few years worth of rain. There is not

494
00:27:52,880 --> 00:27:57,959
Speaker 1: a steady, reliable rainfall. Oh no, no, the wets are

495
00:27:58,000 --> 00:28:02,000
Speaker 1: going to get wetter. Well well, except or not? What actually,

496
00:28:02,000 --> 00:28:03,920
Speaker 1: what you just said is that's usually what happens. It's

497
00:28:03,920 --> 00:28:05,479
Speaker 1: Tuesday the pattern. We just get a lot of our

498
00:28:05,560 --> 00:28:07,760
Speaker 1: water from Rady period. And so you have to go

499
00:28:07,840 --> 00:28:12,720
Speaker 1: back hundreds of years, okay, because before eighteen seventy there

500
00:28:12,720 --> 00:28:15,720
Speaker 1: aren't any records, and there weren't that many people, just

501
00:28:15,880 --> 00:28:18,840
Speaker 1: the scattered indigenous tribes. And this may shock a lot

502
00:28:18,880 --> 00:28:21,000
Speaker 1: of people, but the earth is not set up to

503
00:28:21,040 --> 00:28:25,399
Speaker 1: accommodate where we decide to live. So we don't know

504
00:28:25,520 --> 00:28:28,520
Speaker 1: what California's climate was like, you know, one hundred thousand

505
00:28:28,600 --> 00:28:30,879
Speaker 1: years ago or five hundred thousand years ago, right, we

506
00:28:30,960 --> 00:28:33,159
Speaker 1: have no idea. Maybe it was very wet, maybe it

507
00:28:33,200 --> 00:28:35,119
Speaker 1: was cold. I don't know. The glaciers went all the

508
00:28:35,119 --> 00:28:37,320
Speaker 1: way down to Yosemite, right, that's how couldn't you have

509
00:28:38,160 --> 00:28:41,880
Speaker 1: the canyons and the Mountains of Yosemite. It's from the

510
00:28:41,920 --> 00:28:46,040
Speaker 1: glaciers coming in and then receding and carving all that land.

511
00:28:46,360 --> 00:28:50,000
Speaker 1: So obviously at some point it was extremely cold all

512
00:28:50,000 --> 00:28:54,560
Speaker 1: the way down through northern California, extremely cold to produce glaciers.

513
00:28:55,400 --> 00:28:58,640
Speaker 1: So this's the whole history of the of the Earth's

514
00:28:58,640 --> 00:29:02,280
Speaker 1: weather doesn't exist. We don't know what it is. And

515
00:29:02,080 --> 00:29:04,960
Speaker 1: and so we decided to populate southern California because it's

516
00:29:04,960 --> 00:29:07,840
Speaker 1: really a pretty attractive area. But we had to create

517
00:29:07,880 --> 00:29:12,560
Speaker 1: this massive, complicated water relocation system to go from northern

518
00:29:12,600 --> 00:29:16,080
Speaker 1: California to southern California and to start sucking out the

519
00:29:16,080 --> 00:29:20,360
Speaker 1: Colorado River. That that took many, many, many years and

520
00:29:20,480 --> 00:29:22,920
Speaker 1: an enormous amount of money to build so that we

521
00:29:22,960 --> 00:29:26,360
Speaker 1: could live here. But it naturally is not a place

522
00:29:26,440 --> 00:29:29,240
Speaker 1: people should be living by the tens of millions, So

523
00:29:29,320 --> 00:29:30,920
Speaker 1: that this all this thing is like, oh, we're having

524
00:29:30,960 --> 00:29:32,880
Speaker 1: a drought. Oh we don't have enough water. It's that's

525
00:29:33,000 --> 00:29:36,080
Speaker 1: manmade panic. Yeah, of course we're we don't have enough water.

526
00:29:36,120 --> 00:29:39,120
Speaker 1: We're not supposed to be here. We're not supposed to

527
00:29:39,120 --> 00:29:41,320
Speaker 1: be here by the tens of millions. We got more

528
00:29:41,400 --> 00:29:43,640
Speaker 1: covered up. John and Ken kf I AM six forty

529
00:29:43,720 --> 00:29:47,200
Speaker 1: Live everywhere the iHeartRadio app. You're listening to John and

530
00:29:47,280 --> 00:29:55,360
Speaker 1: Ken on demand from KFI. But don't be Gavin usam.

531
00:29:55,520 --> 00:29:57,200
Speaker 1: We have a little bit of audio. Next hour, he

532
00:29:57,200 --> 00:29:59,520
Speaker 1: did an interview with the woman with the weird name,

533
00:29:59,640 --> 00:30:01,960
Speaker 1: Jen Hockey. Remember her, She used to be the spokeshole,

534
00:30:02,320 --> 00:30:05,400
Speaker 1: former Biden spokeshole. Yeah, she's not got a show an

535
00:30:05,480 --> 00:30:09,600
Speaker 1: MSNBC that nobody watches. But anyway, part of his tour

536
00:30:09,760 --> 00:30:12,120
Speaker 1: not running for president but really is running for president.

537
00:30:12,520 --> 00:30:16,680
Speaker 1: He made some odd comments and there's a strategy he's

538
00:30:16,800 --> 00:30:20,920
Speaker 1: pulling off here. He's trying to actually push anybody interested

539
00:30:20,960 --> 00:30:24,320
Speaker 1: towards Donald Trump. That may not make sense to you,

540
00:30:24,400 --> 00:30:27,360
Speaker 1: but it does when we unravel it. Coming up after

541
00:30:27,400 --> 00:30:30,400
Speaker 1: the News at two o'clock. Also later on in the show,

542
00:30:30,840 --> 00:30:34,080
Speaker 1: there's an update for Huntington Beach. As you know, they've

543
00:30:34,120 --> 00:30:37,800
Speaker 1: been defying the state, speaking of Newsom and the legislature

544
00:30:38,160 --> 00:30:42,080
Speaker 1: and not building more than ten thousand new homes. They

545
00:30:42,080 --> 00:30:45,160
Speaker 1: want to keep Huntington Beach as it is a quiet

546
00:30:45,720 --> 00:30:49,480
Speaker 1: so maybe not always quiet, but single family home beach community.

547
00:30:49,520 --> 00:30:51,520
Speaker 1: They don't want to change the character by building all

548
00:30:51,520 --> 00:30:56,520
Speaker 1: those units because thirteen thousand homes could bring multiple more

549
00:30:56,600 --> 00:30:59,400
Speaker 1: people to the town, and that's not what they want.

550
00:30:59,440 --> 00:31:03,479
Speaker 1: So the city council recently voted to reject building those homes.

551
00:31:04,040 --> 00:31:07,920
Speaker 1: There has been a response from Governor Newsom and the

552
00:31:07,920 --> 00:31:10,880
Speaker 1: Attorney General. Rob Banta will be talking to the city

553
00:31:10,920 --> 00:31:14,400
Speaker 1: attorney for Huntington Beach Michael Gates. Coming up in the

554
00:31:14,640 --> 00:31:18,720
Speaker 1: three o'clock hour hero the John and Ken Show. Well,

555
00:31:18,800 --> 00:31:21,200
Speaker 1: now we turn to a story that may not seem important,

556
00:31:21,240 --> 00:31:24,120
Speaker 1: but it just tells you where are the world is

557
00:31:24,160 --> 00:31:28,720
Speaker 1: going with artificial intelligence. Although I didn't really know this

558
00:31:28,840 --> 00:31:33,640
Speaker 1: until I saw this story. You probably know when you

559
00:31:33,680 --> 00:31:36,480
Speaker 1: often order Chinese food that you do get a couple

560
00:31:36,480 --> 00:31:39,960
Speaker 1: of fortune cookies thrown in there, right, and some people

561
00:31:40,160 --> 00:31:43,560
Speaker 1: still open them, either they eat them or they just

562
00:31:43,640 --> 00:31:48,440
Speaker 1: want to see the fortune inside. They're never right. Yeah,

563
00:31:49,520 --> 00:31:53,400
Speaker 1: predictions are always wrong. They're pretty generic. They sometimes they're

564
00:31:53,400 --> 00:31:56,440
Speaker 1: just sayings. I get disappointed when they're sayings. They're not

565
00:31:56,440 --> 00:31:58,520
Speaker 1: always fortunes. I opened one last year. It said we're

566
00:31:58,520 --> 00:32:05,440
Speaker 1: gonna have a dry winter. Cannot bump very good tibly. Well,

567
00:32:05,720 --> 00:32:10,760
Speaker 1: here's here's the problem in the fortune cookie industry. Most

568
00:32:10,840 --> 00:32:14,400
Speaker 1: of those fortunes are actually written by people. But now

569
00:32:14,400 --> 00:32:18,280
Speaker 1: we have a large production company which is decided to

570
00:32:18,680 --> 00:32:25,520
Speaker 1: use AI it's called chat GPT to potentially generate a

571
00:32:25,600 --> 00:32:32,200
Speaker 1: limitless inventory of new fortune cookie messages, and that just

572
00:32:32,280 --> 00:32:35,120
Speaker 1: has people in the industry up in arms. How could

573
00:32:35,160 --> 00:32:37,800
Speaker 1: that be? It's been such a tradition that these are

574
00:32:37,800 --> 00:32:43,880
Speaker 1: actually written by people. The company at whether we're talking

575
00:32:43,920 --> 00:32:47,600
Speaker 1: about here, Well, one company is Charles Lee. He's the

576
00:32:47,640 --> 00:32:51,400
Speaker 1: owner and chief executive of something called wind Far Foods, Inc.

577
00:32:51,440 --> 00:32:55,320
Speaker 1: Out of Chicago. He has drawn on Chinese proverbs and

578
00:32:55,360 --> 00:32:58,520
Speaker 1: popular sayings to write thousands of messages that go into

579
00:32:58,520 --> 00:33:01,280
Speaker 1: the cookies. He and is eighty year old father in

580
00:33:01,360 --> 00:33:04,640
Speaker 1: law spent long hours coming up with lines that are

581
00:33:04,680 --> 00:33:07,880
Speaker 1: clever but brief to fit on that small, ribbited paper.

582
00:33:08,640 --> 00:33:11,600
Speaker 1: He now supplies fortune cookies to more than eleven thousand

583
00:33:11,640 --> 00:33:15,160
Speaker 1: restaurants around the country, and he says he sometimes has

584
00:33:15,200 --> 00:33:21,680
Speaker 1: to bring in outside copywriters. However, Open Fortune, Inc. A

585
00:33:21,760 --> 00:33:24,440
Speaker 1: New York based company that supplies printed messages to well

586
00:33:24,440 --> 00:33:28,320
Speaker 1: over a dozen fortune cookie factories around the world, has

587
00:33:28,360 --> 00:33:33,440
Speaker 1: started to use the AI technology to write the messages

588
00:33:34,200 --> 00:33:36,280
Speaker 1: making up the sayings and the cookies. Is a vigorous

589
00:33:36,360 --> 00:33:40,719
Speaker 1: line of work. By some estimates, three billion fortune cookies

590
00:33:40,720 --> 00:33:44,520
Speaker 1: are made by factories around the world every year, but

591
00:33:44,640 --> 00:33:48,880
Speaker 1: almost all of them are written by fortune cookie factory

592
00:33:48,880 --> 00:33:52,240
Speaker 1: owners and their families. They use the messages, right, they do.

593
00:33:52,280 --> 00:33:55,760
Speaker 1: They can't come up with three billion fortune messages a year.

594
00:33:56,080 --> 00:33:59,120
Speaker 1: They do. The example in the story is that they

595
00:33:59,160 --> 00:34:01,840
Speaker 1: try to stick a thousand of new messages in their

596
00:34:01,840 --> 00:34:04,240
Speaker 1: a year, just to try to make sure that a

597
00:34:04,320 --> 00:34:07,360
Speaker 1: customer doesn't get the same message in a short period

598
00:34:07,400 --> 00:34:10,359
Speaker 1: of time. I mean I can tell by looking at

599
00:34:10,360 --> 00:34:13,400
Speaker 1: them that they're all along the same lines, too, right.

600
00:34:15,120 --> 00:34:17,680
Speaker 1: I don't really say much things like well, here's one,

601
00:34:17,719 --> 00:34:19,600
Speaker 1: the love of your life is right around the corner.

602
00:34:20,560 --> 00:34:27,520
Speaker 1: How about that? That always upsets wives, though, if you

603
00:34:27,600 --> 00:34:30,200
Speaker 1: read that out loud during dinner, it's like, what do

604
00:34:30,280 --> 00:34:31,839
Speaker 1: you mean? Yeah? That was ad meant for me. If

605
00:34:31,840 --> 00:34:33,920
Speaker 1: you're already married with somebody and the love of your

606
00:34:33,960 --> 00:34:35,800
Speaker 1: life is not sitting across from you, it's like, honey,

607
00:34:35,800 --> 00:34:38,799
Speaker 1: I gotta go. There's something better down the block there,

608
00:34:39,320 --> 00:34:41,480
Speaker 1: all right? How about you? Will have you will soon

609
00:34:41,560 --> 00:34:43,920
Speaker 1: have a delightful encounter with a stranger who will add

610
00:34:43,920 --> 00:34:47,200
Speaker 1: a pinch of spice dear life. Oh well, and that

611
00:34:47,280 --> 00:34:50,600
Speaker 1: was actually written by the artificial intelligence, the one I

612
00:34:50,640 --> 00:34:54,360
Speaker 1: just read. They use an algorithm. Yeah, well what what

613
00:34:54,520 --> 00:34:58,279
Speaker 1: what our official intelligence does is they they call it scraping.

614
00:34:58,719 --> 00:35:03,839
Speaker 1: They go through the entire Internet looking for examples of

615
00:35:04,560 --> 00:35:08,040
Speaker 1: fortune cookie sayings and proverbs and self help guru crap,

616
00:35:08,320 --> 00:35:15,120
Speaker 1: and then they just in seconds produce what a fortune

617
00:35:15,120 --> 00:35:18,200
Speaker 1: cookie phrase should sound like. You know, a certain number

618
00:35:18,200 --> 00:35:20,800
Speaker 1: of words, certain rhythm to it. So that's what artificial

619
00:35:20,800 --> 00:35:23,919
Speaker 1: intelligence does. It just does everything quicker. Like you said,

620
00:35:23,960 --> 00:35:26,480
Speaker 1: the guy who has his company, he goes through Chinese

621
00:35:26,480 --> 00:35:30,279
Speaker 1: proverbs and you know other sources of Chinese wisdom or

622
00:35:30,280 --> 00:35:32,840
Speaker 1: Asian wisdom. Well, the computer can do that in a

623
00:35:32,880 --> 00:35:35,279
Speaker 1: fraction of a second, So you don't need that guy

624
00:35:35,320 --> 00:35:37,800
Speaker 1: spending all day and night looking through the book of Proverbs.

625
00:35:39,040 --> 00:35:41,600
Speaker 1: One of the ones I recognize only because sometimes I

626
00:35:41,640 --> 00:35:44,799
Speaker 1: actually look at the rapper. I'm not sure if it's Pandexpress,

627
00:35:44,840 --> 00:35:48,640
Speaker 1: it's one of them. Wanton Food Inc. Has a network

628
00:35:48,680 --> 00:35:52,560
Speaker 1: that supplies more than forty thousand restaurants nationwide. They've written

629
00:35:52,600 --> 00:35:56,040
Speaker 1: their own fortune cookie messages since the nineteen seventies. They

630
00:35:56,080 --> 00:35:59,360
Speaker 1: have a database of fifteen thousand messages, and they swap

631
00:35:59,400 --> 00:36:01,800
Speaker 1: in and out roughly five thousand every year, as I mentioned,

632
00:36:01,840 --> 00:36:05,320
Speaker 1: to lower the odds of you getting the same fortune twice.

633
00:36:05,360 --> 00:36:07,840
Speaker 1: Do people get upset if they get the same fortune twice?

634
00:36:07,880 --> 00:36:11,040
Speaker 1: They remember? No, if you've got it in two days

635
00:36:11,040 --> 00:36:12,640
Speaker 1: in a row, you might. I don't think you got

636
00:36:12,640 --> 00:36:15,520
Speaker 1: to eat a lot of Chinese food the same fortune twice.

637
00:36:15,600 --> 00:36:18,200
Speaker 1: I know people that saved them, letucy the little numbers

638
00:36:18,239 --> 00:36:20,120
Speaker 1: on the fortune yeard. They save them because they think

639
00:36:20,160 --> 00:36:24,000
Speaker 1: they're lottery winners. I know people that do that. Oh right, Yeah,

640
00:36:24,400 --> 00:36:27,080
Speaker 1: so rather than get the one that's spit out by

641
00:36:27,120 --> 00:36:29,960
Speaker 1: the machine randomly, they actually have to fill out that

642
00:36:30,080 --> 00:36:32,680
Speaker 1: card with the numbers that they're picking so that they

643
00:36:32,719 --> 00:36:35,399
Speaker 1: get your lucky numbers. So that works better. Yeah, there's

644
00:36:35,440 --> 00:36:38,880
Speaker 1: such a year. Once a year. I think there's a

645
00:36:38,920 --> 00:36:41,200
Speaker 1: story of some guys somewhere in the United States who

646
00:36:41,239 --> 00:36:43,640
Speaker 1: did that and win something. Right, Well, if you sell

647
00:36:44,280 --> 00:36:46,719
Speaker 1: billions of tickets, sure that's going to happen once in

648
00:36:46,760 --> 00:36:51,560
Speaker 1: a while, right, there are no lucky numbers. It doesn't

649
00:36:51,560 --> 00:36:55,600
Speaker 1: matter if you use all your birthday numbers. Yeah. So

650
00:36:56,200 --> 00:36:59,480
Speaker 1: the sad part is you know the stories basically about

651
00:36:59,480 --> 00:37:02,800
Speaker 1: how they feel like in the fortune cookie industry, everything

652
00:37:02,880 --> 00:37:08,759
Speaker 1: is going to be replaced by artificial intelligence. The thing

653
00:37:08,920 --> 00:37:12,440
Speaker 1: is programmed so that it does not so it avoids

654
00:37:12,440 --> 00:37:15,759
Speaker 1: offensive or unhinged output, just in case. You know, the

655
00:37:15,760 --> 00:37:20,280
Speaker 1: messages that would be fun if you got unhinged fortune

656
00:37:20,280 --> 00:37:22,920
Speaker 1: cookie messages, Like if I ran a Chinese restaurant, that's

657
00:37:22,920 --> 00:37:25,160
Speaker 1: what I would do. I'd make up all signs of

658
00:37:25,320 --> 00:37:29,359
Speaker 1: sides of unhinged defensive messages, you know how popular. A

659
00:37:29,400 --> 00:37:33,000
Speaker 1: friend of mine did this as an elaborate prank. She

660
00:37:33,080 --> 00:37:35,239
Speaker 1: told me. The story is a long time ago. They

661
00:37:35,280 --> 00:37:39,080
Speaker 1: were gonna have like a company lunch, and she and

662
00:37:39,200 --> 00:37:44,200
Speaker 1: somebody else actually brought bought empty fortune cookies, managed to

663
00:37:44,239 --> 00:37:46,280
Speaker 1: pull the messages out, and then they put in really

664
00:37:46,400 --> 00:37:51,000
Speaker 1: nasty ones and it was things like you're gonna die today.

665
00:37:53,320 --> 00:37:56,880
Speaker 1: It didn't go over so well really, because people believed

666
00:37:56,880 --> 00:38:00,239
Speaker 1: that it didn't look like the fortune cookie was tainted. Nope,

667
00:38:00,360 --> 00:38:03,600
Speaker 1: didn't know what That makes it even funnier. Someone's gonna

668
00:38:03,600 --> 00:38:08,279
Speaker 1: slam you on the head with a crowbar soon see

669
00:38:08,320 --> 00:38:12,200
Speaker 1: the Evil channel playing. He finds this prank very funny, yes,

670
00:38:12,280 --> 00:38:15,440
Speaker 1: and doubly funny because people got upset. I was amazed

671
00:38:15,480 --> 00:38:17,160
Speaker 1: if they pulled it off, they couldn't tell that had

672
00:38:17,160 --> 00:38:19,640
Speaker 1: been tampered with. She goes, no, no, we did it.

673
00:38:19,760 --> 00:38:21,920
Speaker 1: We were really did it very It took like weeks

674
00:38:21,920 --> 00:38:25,040
Speaker 1: for them to pull this off. All right, we got

675
00:38:25,040 --> 00:38:29,359
Speaker 1: more coming off Ken caf I AM six forty. We're

676
00:38:29,360 --> 00:38:31,480
Speaker 1: live everywhere the I Heart Radio app. Deber Mark live

677
00:38:31,480 --> 00:38:33,880
Speaker 1: in the twenty four hour Cafe newsroom. Hey, you've been

678
00:38:33,920 --> 00:38:35,800
Speaker 1: listening to the John and Ken Show. You can always

679
00:38:35,800 --> 00:38:39,240
Speaker 1: hear us live on calf i AM sixty one pm

680
00:38:39,280 --> 00:38:42,000
Speaker 1: to four pm every Monday through Friday, and of course

681
00:38:42,120 --> 00:38:44,959
Speaker 1: anytime on demand on the iHeart Radio app