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

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Speaker 1: and Ken Show on demand on the iHeartRadio app.

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Speaker 2: You could hear us on the.

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Speaker 1: Radio from one until four every day, and then after

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Speaker 1: four o'clock you go to the John and Ken podcast.

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Speaker 1: It's Johnny Ken on demand on the iHeart app and

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Speaker 1: pick up anything you missed. I have to correct myself.

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Speaker 1: I made a mistake. Oh no, Rupert Mardoch does not

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Speaker 1: own the Daily Mail. Oh he owns The Sun and

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Speaker 1: the London Times. But yeah, the Daily and he does

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Speaker 1: own the New York Post. Still right, he owns the

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Speaker 1: New York Post. Yeah, mean Daily Mail is owned by

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Speaker 1: other people, aha, a discount or something, some old British

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Speaker 1: semi royal family.

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Speaker 2: They have a bunch of titles.

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Speaker 3: Well, it's quite a it's quite a source for good

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Speaker 3: tabloid stories that as I said before, it doesn't matter

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Speaker 3: if you're on the left of the right.

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Speaker 1: They'll put it up there. If it's embarrassing or outrageous

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Speaker 1: or corrupt.

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Speaker 3: Yeah, we need more of that story. Each story will

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Speaker 3: look like it has a play slant. But they put

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Speaker 3: all the stories up there, see what I'm saying, right.

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Speaker 1: Yeah, they go after everybody's That should be the spirit

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Speaker 1: of all media is to go after everybody.

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Speaker 3: Not just thinking about today because you know the crowd

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Speaker 3: they wanted to get Trump.

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Speaker 1: Of course he's corrupted. He lies all the time. Well

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Speaker 1: so does Biden. Yes, they're all corrupt. As a famous

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Speaker 1: consultant who radio said to us, here's ago. All politicians

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Speaker 1: are a holes. People hate them all.

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Speaker 2: They do they do.

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Speaker 1: They do the problem with the Republicans because now they

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Speaker 1: get mocked a bit. You know, they had the big

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Speaker 1: flash last week about all these payments that were made

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Speaker 1: to Biden family members coming from shady, corrupt communist sources. Right, yeah,

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Speaker 1: But the point was, well, they haven't proven anything yet.

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Speaker 1: And the question I think the Republicans were asking, well,

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Speaker 1: Hunter Biden and all these Biden family members, what were

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Speaker 1: these payments for?

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Speaker 3: All right, we know you got payments and bank deposits,

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Speaker 3: but what did you do to quote earn them?

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Speaker 2: Right? Please explain? It must be something.

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Speaker 1: And this writer in the Washington Post said, well, we

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Speaker 1: said the same thing with the Trump family.

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Speaker 3: They got enriched. But the Trump response, which I thought

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Speaker 3: was a good one, is we actually run businesses.

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Speaker 1: Trump's got a real estate empire. What did the Bidens

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Speaker 1: have besides feeting off the public trough? I mean seventy

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Speaker 1: years or whatever he's been doing it at time. I

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Speaker 1: never got I never got a seven figure check from

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Speaker 1: a from a Chinese company or a Ukrainian gas Please

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Speaker 1: tell us what was it for?

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Speaker 2: What did you do?

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Speaker 1: I was consulting them?

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Speaker 2: You were consulting them?

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Speaker 3: Yeah, I think that's what Hunter Biden says when he's

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Speaker 3: asked me, I just gave them advice.

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Speaker 1: They asked me a question about their business operation. Mister

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Speaker 1: crackpipe pipe living in a tent in Hollywood, he was consulting.

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Speaker 2: He was on skid row. I think, yeah, he was.

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Speaker 3: He ended up on downtown skid Row at one point homeless.

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Speaker 1: But what is that story? How did he end up there?

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Speaker 1: And who goesn't that many years ago? Either? Did Biden

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Speaker 1: send in the military to take him away and and

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Speaker 1: and send him to some I'm not sure was Biden

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Speaker 1: was Biden VP at the time that happened. I don't know.

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Speaker 1: But I don't understand because most of the time, when

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Speaker 1: you end up with your legs crossed on the side

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Speaker 1: walk on Hollywood Boulevard or on skid row and you're

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Speaker 1: you're sucking out of meth pipe.

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Speaker 2: You don't come back out of that, not on your own.

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Speaker 1: Oh you think they rescued him? Yeah, but that Isn't

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Speaker 1: that an interesting story?

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Speaker 2: Oh? It is? Yeah?

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Speaker 1: Well I think it was in his book. He wrote

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Speaker 1: a book, Hunter Biden, about his life. I ain't given

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Speaker 1: him money. Somebody's gonna is Yeah, somebody's gonna have to

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Speaker 1: read it to me.

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Speaker 3: People Magazine, April ninth, twenty twenty one. Hunter Biden writes

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Speaker 3: a memoir to humanize addiction sufferers after living with the

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Speaker 3: homeless crack addict.

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Speaker 1: Yeah, well, I I don't This was when he was

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Speaker 1: in Washington, d C. But I was trying to find

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Speaker 1: when he was. I don't know how that multimillion dollar contracts.

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Speaker 1: And I just love that the whole family was given

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Speaker 1: money or that was the way to launder the money, right,

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Speaker 1: to spread it around that maybe Hunter did all the work,

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Speaker 1: but in order to make it look less suspicious, everybody

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Speaker 1: got a piece of it. And I wonder if they

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Speaker 1: kept it or they had to give it back, or

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Speaker 1: everything eventually went to Joe, or Joe got a percentage

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Speaker 1: like that. I mean I would, I would, I would

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Speaker 1: think somebody would find that out.

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Speaker 4: I don't.

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Speaker 1: I don't expect the bastards at NBC to do it.

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Speaker 1: But you think somebody in the United States of America

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Speaker 1: would unravel this story. Well, my point was, it's all corrupt.

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Speaker 1: It is, they really are.

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Speaker 3: And to try to pretend that the Biden family is

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Speaker 3: somehow above this is just just being fake and phony.

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Speaker 3: After all these years of going after Trump for anything

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Speaker 3: that he or his family members did. But again, they

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Speaker 3: at least they had a business, all right.

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Speaker 1: Yeah, so maybe because Trump was president it helped his

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Speaker 1: hotel business or something like that. But what did the

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Speaker 1: Bidens do it all for all these payments that went

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Speaker 1: to all these family members. Investigate both of them, lay

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Speaker 1: out the facts on both sides.

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Speaker 2: Do it all just I did. Do you know one

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Speaker 2: of the terrible things about human nature?

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Speaker 1: And I realized I spent all my life since I

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Speaker 1: was five years old, fighting what human nature is, which

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Speaker 1: is never going to change. It's just a terrible, terrible

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Speaker 1: affliction I have. But what the need people have to

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Speaker 1: be in a tribe, to be part of a larger group,

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Speaker 1: to identify with something and and and then to idolize

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Speaker 1: whoever the leader is of the group. Uh God, I

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Speaker 1: read I read about this. Oh I meant to bring

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Speaker 1: this up on the air. We'll do it another day.

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Speaker 1: But I just read about a Kenyan pastor who got

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Speaker 1: dozens of people to starve themselves to death. It was

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Speaker 1: one of these doom day doomsday cults. Did you read

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Speaker 1: this thing? I was in the New York Times.

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Speaker 2: You have a day.

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Speaker 1: But anyway, he got themselves to starve to death. And

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Speaker 1: I'm thinking God's control. Yeah, But I mean this powerful

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Speaker 1: impulse that people give their identity over to some charismatic

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Speaker 1: figure or a larger group and then defend that group

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Speaker 1: to the death and invest emotionally. And you no longer

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Speaker 1: see all the terrible things about your group or your leader,

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Speaker 1: and you always have to constantly fight the other side

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Speaker 1: and demonize the other side. It's like, oh my god,

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Speaker 1: it's hard to live on this planet with all this

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Speaker 1: going on.

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Speaker 3: All right, now, we move over to the California state budget.

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Speaker 3: As you heard, News announced last week that the deficit

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Speaker 3: is now blown up to over thirty billion dollars. In fact,

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Speaker 3: thirty one point eight to be exact. We could round

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Speaker 3: it off to thirty two billion. They we're not there yet.

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Speaker 3: They don't have to come up with a budget until

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Speaker 3: next month.

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Speaker 1: However, one of the things that's being proposed in a

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Speaker 1: new bill called this Safety Net for All Workers Act.

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Speaker 1: You like that name. This would be a new.

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Speaker 3: One in the state of California and for the country

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Speaker 3: unemployment for illegal aliens. And when you think about what

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Speaker 3: happened to our unemployment system during the pandemic and how

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Speaker 3: it got ripped off for over thirty billion dollars, and

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Speaker 3: now employers are probably going to be hit with increases

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Speaker 3: to make up for.

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Speaker 1: Some of them because they have to. They have a

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Speaker 1: big deficit to the federal government in this California State

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Speaker 1: Unemployment Fund. And of course the people behind this are

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Speaker 1: the union people. Remember that Elena Derazzo used to be

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Speaker 1: like her name is she State Senator Maria Elena Derazzo.

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Speaker 1: She used to be a labor figure here in La County.

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Speaker 1: A labor figure in California is a Communist and they

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Speaker 1: write bills that that takes working people's money away and

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Speaker 1: give it to anybody who's not working or shouldn't be

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Speaker 1: here legally.

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Speaker 2: That's what she's about.

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Speaker 1: Three hundred dollars per week fro up to twenty weeks

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Speaker 1: with funds from the state unemployment fund. That's what's in

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Speaker 1: the bill. So a year after giving thirty billion dollars

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Speaker 1: away to worldwide criminals, now we're going to give away

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Speaker 1: billions of dollars to illegal aliens who broke the law

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Speaker 1: coming here.

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Speaker 3: I'd like to know too, if they would ever be

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Speaker 3: able to estimate how many illegal aliens who work in

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Speaker 3: California are on the books versus off the books, because

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Speaker 3: obviously the arguments being made here, well, they're already paying

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Speaker 3: payroll taxes. Why can't they benefit from unploot You know

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Speaker 3: something that means that they're on the books?

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Speaker 1: You know that that is a non argument because this

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Speaker 1: has already been statistically detailed and proven. Whatever tax they

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Speaker 1: pay is a really tiny amount. Its off and dwarfed

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Speaker 1: by the benefits they need. It costs like twenty billion

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Speaker 1: dollars more in benefits than what they pay in taxes.

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Speaker 1: So it's a little little sprinkling, a smattering of tax

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Speaker 1: dollars compared to a waterfall that they get in return.

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Speaker 1: So if whenever I see that phrase in a news story,

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Speaker 1: I just see red, It's like, stop it.

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Speaker 2: That is a complete lie. Good lord, it's.

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Speaker 1: Like, oh, I gave a nickel, now give me a

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Speaker 1: ten dollar bill.

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Speaker 2: That's really what it is.

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Speaker 1: All Right, we got more coming up when we come back.

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Speaker 1: We're going to talk about the electric vehicles.

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Speaker 3: A couple of stories popped up in the news, particularly

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Speaker 3: about how you may not know this, but the world

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Speaker 3: and when it comes to electric car batteries is dominated

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Speaker 3: by China, and it's a belief that from the cobalt

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Speaker 3: to the cathodes, to the battery cells to the anodes,

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Speaker 3: you wouldn't believe how much of the materials that goes

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Speaker 3: into an electric car battery wouldn't exist without Chinese production.

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Speaker 3: We'll talk about that, and we're also going to talk

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Speaker 3: about the experiences of a New Jersey for dealership owner

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Speaker 3: who's explaining the trouble he's having with EV sales. Johnny

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Speaker 3: KENKFI AM six forty Live Everywhere iHeartRadio app.

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Speaker 4: You're listening to John and Ken on demand from KFI

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Speaker 4: AM six forty.

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Speaker 2: Yeah.

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Speaker 1: Well, now we're a topic we haven't talked about in

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Speaker 1: a while, which is the electric cars and the electric

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Speaker 1: car batteries.

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Speaker 3: We know that China, of course leads the world in

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Speaker 3: fossil fuel production, but that you also know that when

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Speaker 3: it comes to electric car batteries, they are so far

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Speaker 3: ahead of the rest of the world. It says here

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Speaker 3: in this New York Times story that mining rare minerals,

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Speaker 3: training engineers, and building huge factories, the rest of the

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Speaker 3: world may take decades to catch up with the Chinese.

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Speaker 3: Even by twenty thirty, China will make more than twice

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Speaker 3: as many batteries as every other country combined. They control

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Speaker 3: each step of the lithium ion battery production, from getting

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Speaker 3: the raw materials out of the ground to making the cars,

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Speaker 3: so the advantages are expected to last for a long

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Speaker 3: time now. In fact, they control forty one percent of john.

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Speaker 1: Forty one percent of cobalt mining in the world, the

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Speaker 1: world's cobalt Chinese owned. Listen to these statistics, Seventy three

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Speaker 1: percent of cobalt refining is in China. Seventy seven percent

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Speaker 1: of the cathodes cathodes are the part of the battery

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Speaker 1: that carries the charge seven one percent made in China.

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Speaker 1: The anodes, which is another part, ninety two percent made

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Speaker 1: in China. The battery cells sixty six percent assembled in China.

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Speaker 1: The electric cars themselves fifty four percent built in China.

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Speaker 1: Now considering that, is it smart if you're running a

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Speaker 1: state or a country to have a mandate that forces

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Speaker 1: people to buy electric cars when China controls the entire

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Speaker 1: process from mining the minerals to actually assembling the car.

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Speaker 3: That sounds dangerous. Cars ain't going to go anywhere without

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Speaker 3: the batteries. And if most of China's controlling most of.

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Speaker 1: That, I mean, why would you do that? For obvious reasons?

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Speaker 1: That'd be the last thing you do is mandate us

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Speaker 1: to use the technology that China has a hammer lock on.

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Speaker 1: Why are we going to put ourselves in that kind

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Speaker 1: of subservient position? You know, at least we have a

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Speaker 1: lot of oil and gas here in this country, and

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Speaker 1: we have a lot of automobile manufacturing plants, but we've

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Speaker 1: got nothing comparatively to what China has. I am I'm

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Speaker 1: at And why would we do this? And and then

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Speaker 1: you think about, you know, the millions of dollars that

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Speaker 1: the Biden family has gotten from China, and it makes

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Speaker 1: you wonder.

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Speaker 3: Yeah, and again, you know, we've talked about the electric

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Speaker 3: car batteries. It says here that it basically comes from

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Speaker 3: very electric cars use about six times more rare minerals

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Speaker 3: than conventional cars because of the battery, and China gets

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Speaker 3: to decide who gets the minerals first and at what price.

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Speaker 3: That's what makes this very dangerousery. Graphight is mostly mined

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Speaker 3: in China. US producers synthesize graph fight at a much

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Speaker 3: greater cost. Western countries also own minds abroad and are

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Speaker 3: trying to catch up with China, but they've been reluctant

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Speaker 3: to put money into countries with unstable governments or poor

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Speaker 3: labor practices.

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Speaker 1: China steps up though. Apparently they've invested in Indonesia to

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Speaker 1: become the largest controller of nickel by twenty twenty seven,

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Speaker 1: which is another element they need.

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Speaker 2: Well, you know what they do.

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Speaker 1: They go into poor countries like the Republic of Congo

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Speaker 1: and say you, let us have all the cobalt in

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Speaker 1: those mines and will build schools and roads and bridges

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Speaker 1: for you. Will loan you the money to build the

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Speaker 1: schools and the roads and the bridges, And the government says, okay,

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Speaker 1: all right, loan is the money. We'll build those things,

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Speaker 1: and China will help build. They get all the cobalt,

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Speaker 1: and then when the Congo can't pay back the loan, well,

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Speaker 1: now China has them over a barrel, don't they They

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Speaker 1: can have total control of anything they want in the

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Speaker 1: country because the congo's in default.

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Speaker 3: And while California tries to get everybody to drive electric vehicles,

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Speaker 3: this story makes it clear that China dominates this market

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Speaker 3: and also generates a lot of pollution from it. Chinese

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Speaker 3: refineries benefit from less stringent environmental regular relations. Grinding graphite

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Speaker 3: causes air pollution. Processing nickel generates toxic waste which must

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Speaker 3: be disposed of in special structures in the ocean or underground.

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Speaker 1: Don't you love the phrase less stringent. There's hardly any

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Speaker 1: air pollution regulations in China, right. We choke ourselves and

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Speaker 1: hamstring ourselves with all our regulations. It's for the good

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Speaker 1: of the planet. And then we allow China to take

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Speaker 1: almost almost entirely. It takes over almost entirely the business

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Speaker 1: of electric cars without any pollution controls.

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Speaker 2: So what's the point of what we're doing.

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Speaker 3: It is pretty ironic that we're pushing people towards electric everything,

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Speaker 3: but particularly in California, electric cars and some of us

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Speaker 3: is controlled by China, and China's producing a lot of

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Speaker 3: pollution doing it.

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Speaker 1: Here's an example the cathode, that's the positive terminal on

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Speaker 1: a battery, the most difficult and energy intensive battery material

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Speaker 1: to make, and it used to be you had to

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Speaker 1: use nickel, cobalt, and manganese to make the cathode. China's

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Speaker 1: invested in a cheaper alternative. They now have fifty percent

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Speaker 1: of this cathode market made of lithium iron phosphate called

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Speaker 1: LFP LFP and they've already thought ahead and they grabbed

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Speaker 1: the cheap roy alternative too. Huh. Yes, today the United

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Speaker 1: States makes only one percent of the world's cathodes, and

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Speaker 1: we're making the old version out of nickel and cobalt

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Speaker 1: and manganese. We're making the old version. The new version,

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Speaker 1: which is a lot cheaper, which is fifty percent of

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Speaker 1: the market, is one hundred percent made by China. We're

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Speaker 1: not making anything at a lithium nothing, And even if

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Speaker 1: we try, we have to team up with the Chinese

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Speaker 1: companies because they have all the experience producing it.

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Speaker 2: How's this going to go?

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Speaker 1: I don't right out of the Trump playbook.

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Speaker 3: China has the most electric cars on the road, and

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Speaker 3: nearly all of them use Chinese made batteries. They enacted

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Speaker 3: policies to block foreign rivals and raise their own consumer demand.

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Speaker 3: And one of the manufacturers mentioned here is Good Old BYD.

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Speaker 3: Remember BYD, which stands for build your Dreams. But that's

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Speaker 3: the company that Gavin Newsom contracted with to buy medical equipment,

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Speaker 3: masks and stuff.

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Speaker 2: Remember that. That's funny.

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Speaker 1: He got ripped off for billions of dollars buying these

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Speaker 1: BYD Chinese masks.

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Speaker 3: And I think BYD also sent LA those electric buses

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Speaker 3: that couldn't go uphill or ELECTRICI.

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Speaker 2: Oh, the ones that caught fire going uphill.

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Speaker 1: Yeah, same company, but they are They're a big, big manufacturer.

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Speaker 2: We are. We are run by stupidos. We really are.

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Speaker 1: Yeah, I mean, I mean I read this story and

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Speaker 1: I I just could not believe it.

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Speaker 3: I can build battery factories at nearly half the cost

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Speaker 3: of countries in North America Europe, according to an.

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Speaker 1: Expert, because we have billions of aisles of regulations that

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Speaker 1: companies have to wade through, and so so if.

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Speaker 3: It also says that here people are just not because

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Speaker 3: people are still buying traditional cars, nobody's really worried about

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Speaker 3: building anything for electric.

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Speaker 1: Car capacity in the United States. American investors don't really

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Speaker 1: want to put money into the American electric car market

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Speaker 1: or the components or any of that stuff. So I

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Speaker 1: think China has spent more than one hundred and thirty

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Speaker 1: billion dollars on research initiatives, government contracts, and consumers subsidies.

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Speaker 1: We spend our money on diversity, equity and inclusion, blue

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Speaker 1: ribbon panels.

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Speaker 2: That's what we do when we come back.

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Speaker 1: Another side of this story concerns, and this comes from

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Speaker 1: Fox Business Channel where they spoke to a New Jersey

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Speaker 1: Ford dealership owner who explains the trouble he's had making

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Speaker 1: any money on the sales of electric vehicles. We'll play

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Speaker 1: for you what's in there? Johnny Ken, KFI AM sixty

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Speaker 1: one Live Everywhere, the iHeart Radio App.

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Speaker 4: You're listening to John and Ken on Demand from KFI

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Speaker 4: AM six forty.

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Speaker 1: Radio app.

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00:18:10,400 --> 00:18:12,719
Speaker 2: Were on the radio from one until four after four o'clock.

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Speaker 1: The iHeart App, the Iart, the iHeart Oh, oh my god,

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00:18:17,200 --> 00:18:18,360
Speaker 1: it's a ton twisterld.

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Speaker 2: I'm having a ceature.

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Speaker 1: The iHeart app is the home the app of John

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Speaker 1: and Ken on Demand, which is our podcast. And you

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00:18:26,800 --> 00:18:31,480
Speaker 1: could hear this show in its entirety. Any part you missed, Yes,

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00:18:31,720 --> 00:18:35,119
Speaker 1: use that app to leave messages for a beloved moistline.

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00:18:35,359 --> 00:18:36,840
Speaker 1: We're taking the calls.

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00:18:37,640 --> 00:18:39,959
Speaker 3: You can use the microphone icond of leave a message

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00:18:39,960 --> 00:18:42,120
Speaker 3: to the John and Ken part of the app. CANFI

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00:18:42,680 --> 00:18:45,040
Speaker 3: or call the tellphree number one eight seven seven Moist

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00:18:45,080 --> 00:18:48,560
Speaker 3: eighty six one A seven seven six six four seven

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00:18:48,560 --> 00:18:51,160
Speaker 3: eighty eighty six. Headlines like you see and you really

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Speaker 3: don't want to click? I guess Jane Fond is making

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Speaker 3: the media rounds. She's like on the cover of People

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Speaker 3: this week or the time she saw Michael Jackson naked.

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Speaker 1: Oh do you really want to click that?

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Speaker 2: Sh No, no, no, I don't have to. I don't

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Speaker 2: have to do that. No, don't do that.

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Speaker 1: Don't feed into it. He got me though, I mean

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Speaker 1: had stopper Martie, how would that have happened. There's millions

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Speaker 1: of more on Americans who are going to click on that.

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Speaker 1: We don't have to. That is an ethnicity now you know,

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Speaker 1: more on American. Yeah.

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Speaker 3: Another intruder story making the news this afternoon too. Although

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Speaker 3: most people don't know him. I actually have seen him

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Speaker 3: in appearances before the press. Biden's National security advisor, Jake Sullivan.

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Speaker 3: He sometimes gets into these.

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Speaker 1: Arguments with reporters about national security issues. He does these

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Speaker 1: little press conferences.

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Speaker 3: He says, some intruder broke into his Washington home at

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Speaker 3: the end of April. A very drunk guy got into

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Speaker 3: his home at three in the morning, confused, intoxicated, didn't

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Speaker 3: even know what was going on.

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Speaker 1: Sullivan confronted the man, told him to leave. He then

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Speaker 1: went outside his home to warn the agents because apparently, oh,

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Speaker 1: they does get protection, but they missed this one.

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Speaker 4: Right.

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Speaker 1: I don't know how many.

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Speaker 3: Guys he has looking after his house, but they missed

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Speaker 3: the drunk guy getting in.

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Speaker 1: And how good could a drunk guy get into your home?

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Speaker 5: Right?

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Speaker 1: When he just used the front door, he would make

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Speaker 1: a lot of noise, right, he wouldn't even try a window.

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Speaker 1: He's to probably smash in his headache against the.

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Speaker 2: A's.

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Speaker 3: The story says it follows a string of disturbing breaches

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Speaker 3: of security involving politicians and government officials.

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Speaker 1: Yeah, in the baseball bat attack in that congressman's office yesterday.

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Speaker 1: But everybody likes to go back to the Pelosi story. Sure,

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Speaker 1: the hammer on the beat with that happer. All right,

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Speaker 1: well back to the electric cars, and we bring you

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Speaker 1: another story which apparently He's excerpted.

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Speaker 3: From Fox Business reporter Stuart Varney. He's got to show

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Speaker 3: there John Ster.

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Speaker 1: Varney's the host and the reporter is Jeff forgot his

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Speaker 1: last name. But the reporter is interviewing a new Jersey

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Speaker 1: Ford dealership owner in Tom's River about how the dealership

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Speaker 1: owner is losing money on EV sales. And he explains

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Speaker 1: why and how Ford itself is losing a lot.

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Speaker 2: Of money on this EV experiment. So here's the story, Tom.

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Speaker 6: They only own seven dealerships. Stuart wants to know. Do

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Speaker 6: you make or lose money on EV's. You know your

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Speaker 6: parent company, Ford, they lose a lot of money on evs.

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Speaker 2: How about you.

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Speaker 7: Ford is getting crushed and you know the dealers are

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Speaker 7: getting crushed.

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Speaker 2: We're making money on the sale of the EV.

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Speaker 7: But the setup of the infrastructure is several hundred thousand

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Speaker 7: dollars to bring chargers in and set them up so

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Speaker 7: that we could charge these cars. And Ford wants us

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Speaker 7: and the manufacturer wants us to have them available for

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Speaker 7: the consumers to come down on the weekends and charge

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Speaker 7: their cars for free.

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Speaker 6: Do they do that at your other dealers?

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Speaker 2: You know they don't.

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Speaker 7: They don't come down and charge for free. And you know,

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Speaker 7: along with the several hundred thousand dollars, the big issue

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Speaker 7: is the power companies. When you call the power company

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Speaker 7: to bring the power in to put these chargers into dealerships,

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Speaker 7: the power is not available.

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Speaker 2: They don't have it for you.

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Speaker 6: I was like a lose lose there. I want to

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Speaker 6: put the numbers up just so we're clear. You know,

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Speaker 6: Ford made money last quarter. They expect, though, to lose

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Speaker 6: three billion dollars this year on electric vehicles. In Q

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Speaker 6: one they lost seven hundred and twenty two million dollars

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00:22:13,960 --> 00:22:16,240
Speaker 6: and the credit to Ford. They actually break it out.

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Speaker 6: Other automakers sort of hide the losses correct.

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00:22:18,480 --> 00:22:19,040
Speaker 2: Ford does not.

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Speaker 6: They lose like sixty thousand dollars in EV.

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00:22:22,040 --> 00:22:23,760
Speaker 7: Yes, no one has figured out how to make money

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Speaker 7: on the sale of an EV. The manufacturer hasn't figured

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Speaker 7: it out. The finance companies can't make money, or the

444
00:22:29,080 --> 00:22:31,800
Speaker 7: banks because no one can figure out the residual value

445
00:22:31,800 --> 00:22:34,320
Speaker 7: of a used electric car when it comes back in

446
00:22:34,520 --> 00:22:36,359
Speaker 7: so they so no one wants to finance and no

447
00:22:36,400 --> 00:22:38,560
Speaker 7: one wants to take him in on trade. It's right now,

448
00:22:38,560 --> 00:22:39,160
Speaker 7: it's a disaster.

449
00:22:39,680 --> 00:22:42,640
Speaker 6: Not everybody as a Ford dealer Stewart will speak out

450
00:22:42,680 --> 00:22:45,040
Speaker 6: about this. You know, everybody kind of tries to go

451
00:22:45,119 --> 00:22:49,800
Speaker 6: along a little bit. Tom has no problem speaking truth

452
00:22:49,840 --> 00:22:50,360
Speaker 6: to power.

453
00:22:50,880 --> 00:22:54,280
Speaker 1: So that's Jeff Flock. That's the reporter's name for Fox Business.

454
00:22:54,560 --> 00:23:00,359
Speaker 1: So go through the numbers again. Ford lost three billion

455
00:23:00,520 --> 00:23:03,760
Speaker 1: dollars in the last year on electric vehicle sales, three

456
00:23:03,920 --> 00:23:07,680
Speaker 1: billion in the first quarter alone, seven hundred and twenty

457
00:23:07,760 --> 00:23:12,440
Speaker 1: two million. They're losing sixty thousand dollars per vehicle they

458
00:23:12,520 --> 00:23:16,280
Speaker 1: sell this. This Ford dealer in Tom's River, New Jersey

459
00:23:16,640 --> 00:23:19,800
Speaker 1: is losing money on each EV. They're forced to buy

460
00:23:19,840 --> 00:23:23,880
Speaker 1: electric chargers, which are expensive. And get this, they had

461
00:23:23,880 --> 00:23:26,200
Speaker 1: this idea that people were going to come on weekends

462
00:23:26,560 --> 00:23:30,199
Speaker 1: and charge their electric vehicle because I guess people are

463
00:23:30,200 --> 00:23:34,359
Speaker 1: complaining they can't find chargers anywhere. You know, Tesla's got

464
00:23:34,400 --> 00:23:36,040
Speaker 1: a good system. A lot of the other companies don't

465
00:23:36,040 --> 00:23:38,280
Speaker 1: have much for you. So I guess they're offering that

466
00:23:38,320 --> 00:23:40,840
Speaker 1: as an incentive. Right, I'm here in charge it. Nobody's

467
00:23:40,840 --> 00:23:44,360
Speaker 1: showing up anyway. And then the final bit is that

468
00:23:44,400 --> 00:23:48,600
Speaker 1: the power companies can't seem to supply the power for

469
00:23:48,640 --> 00:23:51,640
Speaker 1: these electrical chargers. That's strange.

470
00:23:51,800 --> 00:23:55,200
Speaker 2: Wow, what a botch. What a colossal botch.

471
00:23:55,240 --> 00:23:58,000
Speaker 1: And this is at one dealership in Tom's River, New Jersey,

472
00:23:58,160 --> 00:24:02,320
Speaker 1: and key, key, little tidbit on the end there. All

473
00:24:02,320 --> 00:24:04,879
Speaker 1: the other dealers are having the same problem, but everybody's

474
00:24:04,920 --> 00:24:07,800
Speaker 1: afraid to speak out right because right now it's not

475
00:24:08,240 --> 00:24:12,600
Speaker 1: proper to criticize electric vehicles. We all have to go

476
00:24:12,680 --> 00:24:16,280
Speaker 1: along and pretend it's the most wonderful thing here. It's sacred.

477
00:24:16,480 --> 00:24:19,040
Speaker 1: It's for the climate. We have to pray to the

478
00:24:19,080 --> 00:24:23,600
Speaker 1: climate God and ask for forgiveness for fouling the planet.

479
00:24:24,200 --> 00:24:27,480
Speaker 1: It's a lot of crap. The banks won't even lend money.

480
00:24:28,160 --> 00:24:32,120
Speaker 1: Nobody knows if these things are worth anything once they've

481
00:24:32,119 --> 00:24:35,760
Speaker 1: been pre owned. Yeah, it's still too early to tell. Wow,

482
00:24:35,880 --> 00:24:39,720
Speaker 1: exactly what the resale value is going to be. Ford

483
00:24:39,800 --> 00:24:43,240
Speaker 1: has appears to be. They have three all electric vehicles,

484
00:24:43,280 --> 00:24:45,320
Speaker 1: the fourth Mustang I actually seen that one on the

485
00:24:45,400 --> 00:24:48,080
Speaker 1: road a few times, the Ford F one to fifty

486
00:24:48,160 --> 00:24:50,960
Speaker 1: Lightning and the Ford E Transit Fan. But I guess

487
00:24:50,960 --> 00:24:52,800
Speaker 1: what he's saying there, it cost him so much to

488
00:24:52,800 --> 00:24:58,000
Speaker 1: produce these cars. Well, where's the story.

489
00:24:58,040 --> 00:25:00,560
Speaker 3: Ford expects to lose roughly three billion from the electric

490
00:25:00,640 --> 00:25:03,600
Speaker 3: vehicle arm of the company this year. The increased losses

491
00:25:03,600 --> 00:25:06,639
Speaker 3: are expected due to money being spent on manufacturing facilities

492
00:25:06,640 --> 00:25:09,199
Speaker 3: in Tennessee and Kentucky, as well as the addition of

493
00:25:09,240 --> 00:25:13,680
Speaker 3: alternative battery chemistries. That's an interesting It's just a small

494
00:25:13,720 --> 00:25:15,080
Speaker 3: excerpt limiting from Car and Driver.

495
00:25:15,320 --> 00:25:21,200
Speaker 1: Maybe because China has such a stronghold on the car

496
00:25:21,320 --> 00:25:25,120
Speaker 1: battery electric vehicle industry from beginning to end, maybe Ford

497
00:25:25,240 --> 00:25:29,720
Speaker 1: is throwing billions to try to develop its own system. Right, Yeah,

498
00:25:29,760 --> 00:25:32,119
Speaker 1: this came out, This story came out in March because

499
00:25:32,920 --> 00:25:36,359
Speaker 1: they think though that well, they say, they claim that

500
00:25:36,440 --> 00:25:39,359
Speaker 1: sales are rising, but you know people are going to

501
00:25:39,359 --> 00:25:40,800
Speaker 1: have a bad experience. Sales are not.

502
00:25:40,800 --> 00:25:41,320
Speaker 2: Going to rise.

503
00:25:41,400 --> 00:25:45,880
Speaker 1: But if you're losing sixty thousand dollars per sale and

504
00:25:46,640 --> 00:25:48,600
Speaker 1: you still don't have a place to plug in the

505
00:25:49,200 --> 00:25:52,719
Speaker 1: does that mean what the cost of producing the vehicle

506
00:25:52,760 --> 00:25:55,080
Speaker 1: and they're selling it for such a lower price to

507
00:25:55,080 --> 00:25:57,080
Speaker 1: to get them sold that they're losing that much money.

508
00:25:57,400 --> 00:26:01,680
Speaker 1: I guess sixty is going to cost. I don't know

509
00:26:01,720 --> 00:26:04,960
Speaker 1: what the prices are in these but I don't know. Yeah,

510
00:26:05,320 --> 00:26:10,200
Speaker 1: because I mean Tesla has worked because they targeted wealthy

511
00:26:10,240 --> 00:26:12,800
Speaker 1: people who don't care what they're paying for a car,

512
00:26:13,119 --> 00:26:19,040
Speaker 1: and they're getting heavy government subsidies. And what's his name,

513
00:26:19,080 --> 00:26:23,840
Speaker 1: Elon Musk, is selling the carbon credits because his company

514
00:26:23,920 --> 00:26:28,280
Speaker 1: is so green oriented, right, so that's how he makes

515
00:26:28,320 --> 00:26:31,760
Speaker 1: his profits. Now, whether Ford has all those same advantages,

516
00:26:31,880 --> 00:26:35,520
Speaker 1: I don't know. But you know what, screw Ford, because

517
00:26:35,760 --> 00:26:38,600
Speaker 1: Ford next year is going to is the first American

518
00:26:38,640 --> 00:26:42,000
Speaker 1: auto company, first one that's going to produce a gas

519
00:26:42,040 --> 00:26:46,320
Speaker 1: powered car without an AM radio. So this is what

520
00:26:46,359 --> 00:26:47,200
Speaker 1: I didn't understand.

521
00:26:47,359 --> 00:26:49,879
Speaker 3: I'm looking at the prices here the twenty twenty three

522
00:26:50,000 --> 00:26:53,640
Speaker 3: Ford Mustang mache which is the Mustang I mentioned, it's

523
00:26:53,640 --> 00:26:56,480
Speaker 3: starting at forty five thousand. They're losing sixty thousand dollars

524
00:26:56,520 --> 00:26:59,400
Speaker 3: on a car. And I looked up the truck and

525
00:26:59,640 --> 00:27:02,159
Speaker 3: the the twenty twenty three for one to fifty lightnings

526
00:27:02,160 --> 00:27:05,760
Speaker 3: towards at sixty two thousand. They're really losing sixty thousand dollars.

527
00:27:06,600 --> 00:27:08,920
Speaker 3: I mean, these prices are high for your average car buyer,

528
00:27:08,960 --> 00:27:11,560
Speaker 3: but they're losing that much money on each vehicle.

529
00:27:11,600 --> 00:27:13,080
Speaker 2: That's hard to believe.

530
00:27:13,480 --> 00:27:16,719
Speaker 1: And like he said, all the other car companies are

531
00:27:16,800 --> 00:27:20,040
Speaker 1: hiding their losses right now. They're buried inside a general

532
00:27:20,119 --> 00:27:23,120
Speaker 1: profit and loss statement, for it is the only one

533
00:27:23,119 --> 00:27:27,840
Speaker 1: that's releasing the EV division numbers. So it makes me think,

534
00:27:27,880 --> 00:27:31,160
Speaker 1: all right, so the companies are largely covering up their

535
00:27:31,200 --> 00:27:36,400
Speaker 1: losses and the dealers are largely not talking out loud

536
00:27:36,400 --> 00:27:39,560
Speaker 1: about all the problems they're having from the charging stations

537
00:27:39,600 --> 00:27:42,240
Speaker 1: and the lack of power and the lack of profit

538
00:27:42,880 --> 00:27:44,919
Speaker 1: and the lack of interest in a lot of areas

539
00:27:44,920 --> 00:27:48,000
Speaker 1: in this country. So when when is the great reckoning

540
00:27:48,040 --> 00:27:51,320
Speaker 1: on this When does everybody wake up and say, Wow,

541
00:27:51,440 --> 00:27:54,160
Speaker 1: this is turning out to be a bust. Lots of hype,

542
00:27:54,440 --> 00:27:55,240
Speaker 1: no follow through.

543
00:27:55,560 --> 00:27:58,520
Speaker 3: Yeah, they are apparently producing two new battery cell factories

544
00:27:58,520 --> 00:28:01,359
Speaker 3: in Kentucky in a third one in Tennis. So I

545
00:28:01,640 --> 00:28:03,520
Speaker 3: based on that story we just talked about the last

546
00:28:03,520 --> 00:28:06,199
Speaker 3: segment that China's controlling. They're trying to do something so

547
00:28:06,200 --> 00:28:09,160
Speaker 3: they don't have to buy all this expensive batteries from China.

548
00:28:09,680 --> 00:28:13,040
Speaker 1: Let's say China wants to is going to invade Taiwan

549
00:28:13,080 --> 00:28:16,080
Speaker 1: at some point, right, they want to reunite Taiwan. Taiwan

550
00:28:16,119 --> 00:28:18,480
Speaker 1: to China is like the Ukraine is to Russia. They

551
00:28:18,520 --> 00:28:21,600
Speaker 1: feel that's a natural part of their nation. Eventually they

552
00:28:21,640 --> 00:28:23,920
Speaker 1: go in there and say, Okay, this is ours and

553
00:28:24,000 --> 00:28:29,760
Speaker 1: we're supposed to defend Taiwan. Well, what if we do

554
00:28:29,880 --> 00:28:32,400
Speaker 1: in China retaliates by saying, oh, looks like no more

555
00:28:32,400 --> 00:28:35,960
Speaker 1: electric cars or your car batteries for you? Then what

556
00:28:36,040 --> 00:28:38,920
Speaker 1: do we do after we've been mandated to drive gas

557
00:28:38,960 --> 00:28:42,360
Speaker 1: powered cars? Yeah, California is a mandate coming up next decade.

558
00:28:42,360 --> 00:28:44,160
Speaker 1: And by the way, do you think Gavin Newsom is

559
00:28:44,200 --> 00:28:48,160
Speaker 1: intelligent enough to process that entire issue we just laid out.

560
00:28:48,680 --> 00:28:51,960
Speaker 2: Do you think he's capable? We got more coming up.

561
00:28:52,000 --> 00:28:55,040
Speaker 3: Johnny Ken CAFI AM six forty live everywhere I heard radio.

562
00:28:54,840 --> 00:28:58,640
Speaker 4: App you're listening to John and Ken on demand from

563
00:28:58,720 --> 00:28:59,920
Speaker 4: KFI AM six.

564
00:29:03,880 --> 00:29:08,680
Speaker 3: Well, there were big hearings today in Congress over AI

565
00:29:09,280 --> 00:29:13,440
Speaker 3: artificial intelligence. You had the big wonky wonks in Washington,

566
00:29:13,520 --> 00:29:16,560
Speaker 3: DC called in the experts, what's gonna happen to us?

567
00:29:16,560 --> 00:29:17,840
Speaker 3: How dangerous is this?

568
00:29:18,240 --> 00:29:22,320
Speaker 1: Do you think these congressmen had the slightest idea what

569
00:29:22,360 --> 00:29:25,520
Speaker 1: the tech guys were talking about? These are guys who

570
00:29:25,600 --> 00:29:29,120
Speaker 1: don't still don't send email the Congress.

571
00:29:29,120 --> 00:29:30,800
Speaker 2: Well dangerous you could get hacked.

572
00:29:31,600 --> 00:29:34,520
Speaker 3: Yeah, vital classified information that you might write in an

573
00:29:34,560 --> 00:29:35,400
Speaker 3: email could be.

574
00:29:35,480 --> 00:29:39,040
Speaker 1: I think AI is going to destroy what's the fragments

575
00:29:39,120 --> 00:29:44,000
Speaker 1: left of society? Well, we'll see what was talked about.

576
00:29:44,040 --> 00:29:46,040
Speaker 1: We talked to ABC and he was after three o'clock

577
00:29:46,640 --> 00:29:49,240
Speaker 1: one of their technology experts as to what this is

578
00:29:49,280 --> 00:29:51,200
Speaker 1: all about. But I think it was mostly over the

579
00:29:51,280 --> 00:29:55,800
Speaker 1: dangers sure of artificial intelligence. I see there's a there's

580
00:29:55,840 --> 00:29:58,600
Speaker 1: an IBM has an AI ethics board.

581
00:29:58,840 --> 00:30:00,200
Speaker 2: That's a funny one.

582
00:30:00,640 --> 00:30:04,040
Speaker 3: Yeah, Like I heard a reporter say this morning, Well,

583
00:30:04,080 --> 00:30:06,760
Speaker 3: the concern is they always thought that day would come

584
00:30:07,200 --> 00:30:11,440
Speaker 3: when machines, you know, computers were really at that incredibly

585
00:30:11,520 --> 00:30:13,840
Speaker 3: higher level that they're running everything. But it seems to

586
00:30:13,840 --> 00:30:16,600
Speaker 3: be coming much faster than decades, faster than people thoughts.

587
00:30:16,680 --> 00:30:16,920
Speaker 2: Yeah.

588
00:30:17,040 --> 00:30:19,880
Speaker 1: No, I saw I saw something that was heartwarming in

589
00:30:19,920 --> 00:30:21,040
Speaker 1: an AI story this week.

590
00:30:21,160 --> 00:30:23,360
Speaker 2: That's going to wipe out a lot of lawyers.

591
00:30:23,960 --> 00:30:26,480
Speaker 1: Oh yeah, because a lot of a lot of a

592
00:30:26,480 --> 00:30:28,280
Speaker 1: lot of lawyer work is based on I have the

593
00:30:28,760 --> 00:30:33,760
Speaker 1: programs and the uh oh sure, every every decision ever made,

594
00:30:34,840 --> 00:30:37,959
Speaker 1: every transcript, every record of all the hearings and all

595
00:30:38,000 --> 00:30:43,360
Speaker 1: the judgment. Yeah, so instantaneously. Because a friend told me,

596
00:30:43,440 --> 00:30:45,520
Speaker 1: algorithm can be a lawyer, right, Yeah, a friend of

597
00:30:45,520 --> 00:30:48,280
Speaker 1: mine told me what's likely to happen is yes, an

598
00:30:48,320 --> 00:30:53,360
Speaker 1: algorithm will process the history of all the legal actions

599
00:30:53,400 --> 00:30:55,080
Speaker 1: in the history of the world, during the history of

600
00:30:55,120 --> 00:30:57,920
Speaker 1: the United States, and then tell you, well, here's what

601
00:30:58,000 --> 00:31:01,840
Speaker 1: your case usually settles for. Here's what the case because

602
00:31:01,840 --> 00:31:04,120
Speaker 1: why go through a jury trial and the negotiation and

603
00:31:04,200 --> 00:31:07,360
Speaker 1: the lawyer fees and you know, the expenses and this

604
00:31:07,400 --> 00:31:08,840
Speaker 1: and that. It's like, hey, you know, you got a

605
00:31:08,920 --> 00:31:12,440
Speaker 1: ninety two percent chance that you'll end up winning a

606
00:31:12,520 --> 00:31:14,600
Speaker 1: million and a half dollars out of this. So both

607
00:31:14,600 --> 00:31:18,520
Speaker 1: sides settle, right, Yes, So we'll get into this after

608
00:31:19,280 --> 00:31:23,000
Speaker 1: three o'clock back in the real world with real concerns.

609
00:31:23,240 --> 00:31:25,640
Speaker 1: What could happen to you? What we're in May here

610
00:31:25,720 --> 00:31:29,080
Speaker 1: right nice in middle of the springtime. This was breaking

611
00:31:29,160 --> 00:31:32,960
Speaker 1: news yesterday afternoon in a neighborhood in Encino. Here are

612
00:31:33,000 --> 00:31:35,840
Speaker 1: some details from ABC seven anchor Mark Brown.

613
00:31:35,680 --> 00:31:38,640
Speaker 5: At eleven of frightening be attack caught on camera. Neighbors

614
00:31:38,640 --> 00:31:41,040
Speaker 5: and Encino calling for help as the angry bees swarm.

615
00:31:41,360 --> 00:31:42,560
Speaker 2: One of the first responders.

616
00:31:42,640 --> 00:31:46,120
Speaker 5: This man, We've learned he's an LAPD volunteer assigned to

617
00:31:46,120 --> 00:31:49,440
Speaker 5: the West Valley Division. Those bs stinging him dozens of times.

618
00:31:49,520 --> 00:31:51,840
Speaker 5: At one point he collapses to the ground as he

619
00:31:51,920 --> 00:31:54,640
Speaker 5: tries to escape the swarm. The LAPD says he was

620
00:31:54,640 --> 00:31:57,760
Speaker 5: taken to the hospital for treatment and observation. Tonight listed

621
00:31:57,800 --> 00:32:01,160
Speaker 5: in stable condition air seven hd overhead. When that crew

622
00:32:01,200 --> 00:32:04,240
Speaker 5: of bee keepers finally arrived using a ladder, they focused

623
00:32:04,280 --> 00:32:07,600
Speaker 5: treatment on the swarm that had gathered in the eaves.

624
00:32:07,320 --> 00:32:08,200
Speaker 2: Of a nearby home.

625
00:32:08,440 --> 00:32:10,760
Speaker 5: You can clearly see the swarm of bees surrounding the

626
00:32:10,760 --> 00:32:13,520
Speaker 5: bee keeper's head here. Luckily he was kept safe by

627
00:32:13,560 --> 00:32:16,240
Speaker 5: the special equipment that he wears. He says, the bees

628
00:32:16,280 --> 00:32:18,720
Speaker 5: behavior was very aggressive and he had no choice but

629
00:32:18,760 --> 00:32:22,280
Speaker 5: to use a powerful insecticide to kill the swarm to

630
00:32:22,320 --> 00:32:23,360
Speaker 5: make the neighborhood safe.

631
00:32:23,360 --> 00:32:23,760
Speaker 4: Wow.

632
00:32:24,720 --> 00:32:27,440
Speaker 3: I heard several people referred to them as angry bees,

633
00:32:27,480 --> 00:32:28,960
Speaker 3: and I was like, well, look got them angry, but

634
00:32:30,160 --> 00:32:33,640
Speaker 3: angry attacking bees. They were worked up over something I

635
00:32:34,320 --> 00:32:37,520
Speaker 3: don't want to downplace. When I was a kid, I know,

636
00:32:37,640 --> 00:32:39,840
Speaker 3: good old whiffle ball in the backyard John, Yeah, and

637
00:32:39,880 --> 00:32:41,760
Speaker 3: one of the balls got plunked into a big bush,

638
00:32:41,800 --> 00:32:43,320
Speaker 3: so we had to go digging in it and find it.

639
00:32:43,360 --> 00:32:45,880
Speaker 1: Well, you know what came after us. I got stung

640
00:32:45,960 --> 00:32:49,280
Speaker 1: like six times, really Oh yeah, yeah, my friends did too.

641
00:32:49,320 --> 00:32:51,320
Speaker 1: We all went running. Oh yeah, we found a hive

642
00:32:51,360 --> 00:32:53,480
Speaker 1: in there. But you got to get that ball right,

643
00:32:53,600 --> 00:32:57,280
Speaker 1: Oh of course, had no idea. Yeah, yeah, there they go,

644
00:32:57,440 --> 00:33:02,040
Speaker 1: but they're very organized, mean, they go very fast. He'll

645
00:33:02,120 --> 00:33:03,480
Speaker 1: protect the hive and the queen.

646
00:33:04,560 --> 00:33:06,720
Speaker 2: Then there's a queen inside that poor guy.

647
00:33:06,760 --> 00:33:08,840
Speaker 1: Do you see the picture of him there? He is

648
00:33:08,880 --> 00:33:11,080
Speaker 1: the volunteer.

649
00:33:11,720 --> 00:33:13,840
Speaker 3: Apparently he got the call about the bee swarm and

650
00:33:13,880 --> 00:33:15,160
Speaker 3: he went there to see if he could help, and

651
00:33:15,200 --> 00:33:17,640
Speaker 3: they swarmed him and he and he dropped to his knees.

652
00:33:17,920 --> 00:33:20,560
Speaker 1: He stumbled and fell to the ground and banged his head.

653
00:33:21,280 --> 00:33:26,240
Speaker 1: Yeah he's supposed to be doing fine, saying no, no,

654
00:33:27,480 --> 00:33:31,040
Speaker 1: we have the audiof I had a microphone, King, Eric,

655
00:33:31,080 --> 00:33:31,800
Speaker 1: we have the video.

656
00:33:32,200 --> 00:33:34,680
Speaker 2: Was it was something. It was funny.

657
00:33:34,960 --> 00:33:37,720
Speaker 1: He's in stable condition and local I saw it live

658
00:33:37,760 --> 00:33:38,200
Speaker 1: on the air.

659
00:33:38,400 --> 00:33:42,120
Speaker 2: I was laughing. I was it's cruel, it's wrong.

660
00:33:42,640 --> 00:33:44,720
Speaker 3: It is wrong to laugh, John, But there was Some

661
00:33:45,280 --> 00:33:47,840
Speaker 3: can be dangerous, even though it's funny because they're small.

662
00:33:47,960 --> 00:33:51,080
Speaker 2: Well, just because he was a big guy with a

663
00:33:51,080 --> 00:33:51,600
Speaker 2: bald head.

664
00:33:51,640 --> 00:33:55,640
Speaker 1: And when you get a thousand bees jumping on you, Look,

665
00:33:55,720 --> 00:33:58,040
Speaker 1: I'm not a good person. You're not. I think I've

666
00:33:58,040 --> 00:33:59,960
Speaker 1: made that clear for a long time here, so don't

667
00:34:00,120 --> 00:34:01,880
Speaker 1: be shocked in amaze. But when I see a guy,

668
00:34:02,200 --> 00:34:04,600
Speaker 1: you know, fall down, face down because a bunch of

669
00:34:04,680 --> 00:34:06,480
Speaker 1: bees are chasing him, that's a cartoon to me.

670
00:34:06,960 --> 00:34:10,080
Speaker 3: So well, I'll admit what I heard cracked me up

671
00:34:10,160 --> 00:34:11,360
Speaker 3: to I heard a b expert.

672
00:34:11,960 --> 00:34:15,279
Speaker 1: He had kind of an accent. This is basically what

673
00:34:15,320 --> 00:34:18,439
Speaker 1: he said. You have a swarm like this, you get

674
00:34:18,480 --> 00:34:19,680
Speaker 1: away as fast as you can.

675
00:34:20,000 --> 00:34:22,440
Speaker 3: You go inside your home, close your windows, and lock

676
00:34:22,480 --> 00:34:22,839
Speaker 3: your doors.

677
00:34:22,840 --> 00:34:25,600
Speaker 1: And I said, lock your doors, lock your doors. The

678
00:34:25,719 --> 00:34:28,280
Speaker 1: bees can get into an open door. They can jiggle

679
00:34:28,560 --> 00:34:30,480
Speaker 1: the lock is going to stop them. They can bolt

680
00:34:30,520 --> 00:34:32,760
Speaker 1: across the middle. They can jiggle it with their stinger.

681
00:34:34,480 --> 00:34:36,280
Speaker 1: I didn't get that that I have to lock my doors.

682
00:34:36,280 --> 00:34:38,560
Speaker 1: I could see going inside shutting the windows, right, they

683
00:34:38,600 --> 00:34:41,720
Speaker 1: might find a way in. I cams found that funny.

684
00:34:41,760 --> 00:34:45,880
Speaker 1: Lock your doors like it's a mugger, a rapist, a murderer.

685
00:34:45,520 --> 00:34:45,799
Speaker 2: All right.

686
00:34:45,880 --> 00:34:49,440
Speaker 1: Yesterday was the slowest local news day in history because

687
00:34:49,520 --> 00:34:51,920
Speaker 1: I came home, my wife was watching the news. I

688
00:34:51,920 --> 00:34:55,200
Speaker 1: was sitting on the couch talking and I got distracted

689
00:34:55,200 --> 00:34:58,000
Speaker 1: by by the bee chase. And I realized, oh, I

690
00:34:58,040 --> 00:35:01,120
Speaker 1: got Channel seven is a helicopter overhead right, and they're

691
00:35:01,400 --> 00:35:04,839
Speaker 1: tracking the fire guy who's stumbling down, banging his head

692
00:35:04,840 --> 00:35:07,640
Speaker 1: on the ground, and they they have the coverage a

693
00:35:07,719 --> 00:35:10,080
Speaker 1: close in shot. You can see the bees swarming. You

694
00:35:10,120 --> 00:35:13,279
Speaker 1: see the guys in the hazmatch suits showing up, and

695
00:35:13,320 --> 00:35:16,400
Speaker 1: I go, jeez, this is live, continuous coverage of a

696
00:35:16,480 --> 00:35:19,239
Speaker 1: swarm of bees. So I switched to the top of

697
00:35:19,280 --> 00:35:22,799
Speaker 1: the news Channel eleven and they're leading with it. They

698
00:35:22,840 --> 00:35:25,760
Speaker 1: have a helicopter, they got a reporter on the scene,

699
00:35:25,840 --> 00:35:28,560
Speaker 1: they got the same they run in the tape of

700
00:35:29,040 --> 00:35:30,600
Speaker 1: the fire guy stumbling and fall.

701
00:35:30,640 --> 00:35:32,640
Speaker 2: I guess, like, this is it. This is the only

702
00:35:32,719 --> 00:35:33,600
Speaker 2: story out There.

703
00:35:33,680 --> 00:35:36,640
Speaker 1: Was a big story yesterday afternoon seemed minor.

704
00:35:36,719 --> 00:35:36,959
Speaker 2: Wow.

705
00:35:37,080 --> 00:35:38,960
Speaker 1: All right, coming up next, we're going to take a

706
00:35:39,000 --> 00:35:43,760
Speaker 1: look at this hearing today in Congress over artificial intelligence

707
00:35:44,360 --> 00:35:47,319
Speaker 1: and the dangerous and how fast it's progressing and what

708
00:35:47,400 --> 00:35:50,319
Speaker 1: it all means. We're going to talk to a technology

709
00:35:50,360 --> 00:35:52,960
Speaker 1: reporter with ABC News next, Johnny Ken caf I Am

710
00:35:52,960 --> 00:35:55,520
Speaker 1: six forty live everywhere. I heard radio app in for

711
00:35:55,560 --> 00:35:57,440
Speaker 1: Debor Mark Mark Ronner live in the twenty four hour

712
00:35:57,520 --> 00:35:58,280
Speaker 1: Cafe newsroom.

713
00:35:58,680 --> 00:36:00,520
Speaker 3: Hey, you've been listening to The John Can Show. You

714
00:36:00,560 --> 00:36:03,640
Speaker 3: can always hear us live on CAFI AM six forty

715
00:36:03,840 --> 00:36:06,719
Speaker 3: one pm to four pm every Monday through Friday, and

716
00:36:06,840 --> 00:36:10,240
Speaker 3: of course, anytime on demand on the iHeartRadio app