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Speaker 1: I know you're dying to hear how many mortgage calls

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Speaker 1: I got today, aren't you? Oh? You know, well, we

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Speaker 1: had a guest at the top of the hour, last hour.

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Speaker 1: I was going to ask you, right, how's that going?

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Speaker 1: Not good? Not good? If you didn't hear yesterday, my

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Speaker 1: wife and I are buying a property. We applied for

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Speaker 1: a mortgage, and unbeknownst to us, by the way, that

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Speaker 1: emailer you read to me was right on. When you

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Speaker 1: apply for credit, either mortgage or a credit card, it

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Speaker 1: goes to those credit card tracking companies like Equifax Transit, right,

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Speaker 1: so they take your private information and put it on

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Speaker 1: some alert system that every single company that issues credit

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Speaker 1: has access to. And they have our two phone numbers, right,

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Speaker 1: both our cell numbers, and so then you have then

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Speaker 1: overwhelmed with mortgage calls. I have gotten forty seven mortgage

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Speaker 1: calls today on top of forty three yesterday. Ninety phone

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Speaker 1: calls ninety of them. Are they the same numbers or

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Speaker 1: it's all different numbers, all different numbers, Wow, from different towns.

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Speaker 1: They're hot for you. Yeah, and my wife's got got

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Speaker 1: a similar amount. And so there is a service called

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Speaker 1: opt out prescreen, something like that you're The email suggested it.

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Speaker 1: I went and looked at it, and it's put together

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Speaker 1: by the credit companies, by the credit tracking companies, and

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Speaker 1: you can put in. You have to take a positive action.

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Speaker 1: You wanted to make sure this doesn't happen. Yeah, there's

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Speaker 1: a lot. That's a good, tricky way businesses do that. Well,

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Speaker 1: of course, we don't want this to happen to you.

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Speaker 1: There's an easy way you can prevent it. You just

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Speaker 1: have to take action. But if you take no action,

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Speaker 1: you're gonna get the calls. So I checked online. The

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Speaker 1: Federal Trade Commission gives its endorsement of this service. They

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Speaker 1: said it's on the up and up. So you put in,

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Speaker 1: you put in your information, and then supposedly for the

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Speaker 1: next five years, we're not going to get bothered in

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Speaker 1: case we ask for any more credit, and then that's good. Yeah,

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Speaker 1: but for this, it's too late. It's already out there.

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Speaker 1: And not only am I getting getting ninety phone calls,

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Speaker 1: but I'm getting these text messages. I just wanted to

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Speaker 1: read a couple of these. Sure, Hey, John, I have

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Speaker 1: a win win situation for you. Either I beat your

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Speaker 1: best offer and provide you the best service or you

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Speaker 1: get peace of mind that you're getting the best deal currently.

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Speaker 1: Do you have a minute to chat? No? I do not. Oh,

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Speaker 1: and they're hungry right now because the number of people

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Speaker 1: buying homes is dropping precipitously with these infest rates. So

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Speaker 1: you're you're, you're, you're a rare fish, so to speak,

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Speaker 1: in the big mortgage business. So they're going to be

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Speaker 1: after you. Yes, Hi, John, Hi John, my name is Abe.

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Speaker 1: Well he's got a last name, But I know you're

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Speaker 1: bombarded with calls, and don't waste your time. Thirty year

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Speaker 1: fixed rate as low as five point five to five

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Speaker 1: point nine nine APR for a quote? Do you prefer

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Speaker 1: one text or two call? Now realized that the rates

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Speaker 1: were just in the threes not that long ago. This

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Speaker 1: guy's quoting you five point something. Yeah, Now listen to

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Speaker 1: this character. For the estimated net effective rate, it would

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Speaker 1: be four point five percent on a bi weekly product.

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Speaker 1: If you did a standard once a month payment plan,

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Speaker 1: you're gonna be looking at an estimated rate of five

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Speaker 1: point eight seventy five percent. So I'm trying to figure

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Speaker 1: this out. He's offering me a four and a half

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Speaker 1: percent rate if I pay every two weeks. That's meant

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Speaker 1: to confuse you. Yeah, I had to deal. It may

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Speaker 1: not be a deal. And then some of them are

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Speaker 1: texting you repeatedly. Still haven't heard anything from you. Again.

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Speaker 1: I'm going to beat anything you've been offered. Remember shop

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Speaker 1: before you stop. Oh God, well, probably we'll go on

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Speaker 1: for days. Is gonna have to put up with it.

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Speaker 1: You're too late for the stupid world. What an absolutely

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Speaker 1: stupid world, Brandy? All right, Well, word came down today that,

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Speaker 1: by a vote of thirteen to eight, a United States

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Speaker 1: Senate committee has moved forward the nomination of former Los

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Speaker 1: Angeles Mayor Eric Yoga Pants Garsetti to be ambassador to India.

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Speaker 1: Now this happened before. In fact, it was pretty much

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Speaker 1: unanimous the last time he passed the Senate panel, but

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Speaker 1: it never got to a full Senate vote because a

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Speaker 1: whistleblower group helped out a former press secretary to Garcetti

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Speaker 1: to make a complaint that Garcetti was well aware that

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Speaker 1: his former top aide, Rick Jacobs was sexually harassing everyone

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Speaker 1: around him in the orbit of Garcetti's office. Garcetti said

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Speaker 1: to that committee when he testified. This is back at

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Speaker 1: the end of twenty twenty one. This is the Foreign

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Speaker 1: Relations Committee. That I want to say on a quivocally

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Speaker 1: that I never witnessed, nor was it brought to my attention,

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Speaker 1: the behavior that's been alleged, And I want to assure

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Speaker 1: you that if it had been, I would have immediately

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Speaker 1: taken action to stop that. I look at that quote

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Speaker 1: and the first thing I think of that was written

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Speaker 1: for him by some attorney. Yeah, right, the word unequivocally honestly,

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Speaker 1: And of course we all no one believes that, and

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Speaker 1: a couple of Republican senators took a look at her

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Speaker 1: report and said we don't believe it either, and that's

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Speaker 1: what got the nomination bogged down. Well, because we've got

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Speaker 1: a new Senate, they started over, and that's why we

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Speaker 1: are where we are today. There was a hold put

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Speaker 1: on the nomination a couple of weeks ago by Marco

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Speaker 1: Rubio of Florida, But now that hold has been released,

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Speaker 1: and today the Senate Committee has advanced Garcetti's nomination to

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Speaker 1: the full Senate. Next thing we look for, and it's

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Speaker 1: in a couple of stories. No word from the Democrats

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Speaker 1: Senate majority in your truck, Schumer, when there will be

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Speaker 1: a vote he's he's not going to put it up

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Speaker 1: for a vote unless he knows for sure that Garcetti

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Speaker 1: will get confirmed. That's right. We too embarrassing to have

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Speaker 1: his President Biden, have his ambassador lose a vote like this.

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Speaker 1: They just don't do it. They always avoid an embarrassment

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Speaker 1: and cover for each other. Two Republicans did vote to

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Speaker 1: move Garcetti out of the committee, So if he gets

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Speaker 1: a number of Republicans to vote for him in the

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Speaker 1: full Senate floor. The only way this can be stopped

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Speaker 1: if if a number of Democrats decide they don't want

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Speaker 1: to approve of the nomination. There are a couple of

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Speaker 1: Democrats missing right now too. Diane Feinstein. Is she out

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Speaker 1: of the shingles hospital yet? Do we know? Yeah, she's

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Speaker 1: at home, but she's not back in DC. So now

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Speaker 1: Jean Fetterman, the Democratic senator from Pennsylvania who's being treated

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Speaker 1: for depression, although his people say he's going to return soon.

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Speaker 1: Whatever soon means. Well, then there's a number of Democrats

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Speaker 1: who were against this. There are, we don't know how many.

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Speaker 1: There's been a few that have gone on record that

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Speaker 1: they're not comfortable with Garcetti's behavior over this. Situation. But

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Speaker 1: you know, the Democrats hold a fifty one forty nine

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Speaker 1: edge in the US Senate. Obviously, if he gets all

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Speaker 1: fifty one votes, they don't need any Republicans. But they

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Speaker 1: may not. But as I just told you, looks a

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Speaker 1: few Republicans voted for him for his nomination to move

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Speaker 1: out of the committee, so you would think they would

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Speaker 1: vote for him on the full Senate floor, So hopefully not. Meanwhile,

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Speaker 1: we see a story at RedState dot com that apparently,

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Speaker 1: and it's even a picture, yoga pants was spotted on

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Speaker 1: a recent flight. We had told you he was in Washington,

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Speaker 1: DC the week of February twentieth to meet with senators

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Speaker 1: and basically to beg and according to a passenger on

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Speaker 1: a plane, Garcetti was sitting back and coach yaking quite sad.

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Speaker 1: I guess sad's the word for it, right. Yeah. It

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Speaker 1: was a Twitter post by a doctor named human David Hamadi,

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Speaker 1: and he wrote, flying home to LA from DC and

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Speaker 1: who's on my flight? None other than former mayor Eric Garcetti,

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Speaker 1: who left the city in total ruins after surrendering it

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Speaker 1: to the homeless and criminals. And there's a photo of

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Speaker 1: Garcetti looking sad, head downcast, headed heading back to economy class.

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Speaker 1: He looks like he's just wearing like almost a sweatshirt. Yeah,

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Speaker 1: backpack in a sweatshirt, right, the guy said, no, three

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Speaker 1: thousand dollars business suit. Nothing, No, he's he might be

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Speaker 1: looking down at his phone or something, but he could

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Speaker 1: be just I think he's looking down in shame because

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Speaker 1: he's walking back to economy. Well. Well, you know he'd

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Speaker 1: normally be by have a first class ticket paid more,

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Speaker 1: paid for by some greasy lobbyists. But now all the

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Speaker 1: money's dried up, and you know, mayors don't make that

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Speaker 1: much to begin with, and so he's bringing in. Parents

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Speaker 1: have been helping out, and he's probably got some good

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Speaker 1: old lobbyist friends who are still out there, not enough

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Speaker 1: to buy a first class ticket. No, I had to

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Speaker 1: bite the bullet on that one. And now he's pretty

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Speaker 1: he's pretty much down to wearing a sweatshirt. But I'd

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Speaker 1: have to believe he thinks this is it. He's finally

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Speaker 1: going to get confirmed. We'll see. We don't know when

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Speaker 1: this vote will take place. You should see the Twitter

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Speaker 1: feed from this doctor though. He got so many replies

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Speaker 1: from so many people, and many of them referred to

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Speaker 1: Garsetti as yoga pants. Oh look at that. Yes, we

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Speaker 1: take credit for that. Oh yeah, that name really stuck

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Speaker 1: to him. All right, more coming up, Johnny Ken kf

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Speaker 1: I am six forty. We're live everywhere the iHeartRadio app.

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Speaker 1: You're listening to John and Ken on demand from kf

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Speaker 1: I Am six forty. I just texted you for a mortgage.

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Speaker 1: So if you want to come with my company, Well,

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Speaker 1: what's your rate? Oh well, we can talk about it.

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Speaker 1: I gotta you know how desperate are you? I just

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Speaker 1: got to find a way to block these calls. I

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Speaker 1: just explained it to you. Angel texted me and asked

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Speaker 1: me if you knew how, and then I just show,

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Speaker 1: Oh no, I know you did. And now I've got

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Speaker 1: to oath and I've got to go through fifty of these.

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Speaker 1: Though it's so easy. I just I showed you'll stopped

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Speaker 1: the show and wait, okay, yeah, no, no you did.

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Speaker 1: I wasn't additioning. No, I know you weren't. I appreciate that.

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Speaker 1: I was going to say, did you forget? Here's another

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Speaker 1: one as I'm speaking, Okay, so block it, answer it? Wow, Yeah,

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Speaker 1: I'm going to argue afard it to Eric sin See

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Speaker 1: wants you to answer it. Yeah, I'll give you my phone.

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Speaker 1: You can block these one by one, all right, all right? Uh,

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Speaker 1: coming up after two thirty. Well, we're starting to see

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Speaker 1: the toll of what happened to people that live in

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Speaker 1: the San Bernardino Mountain communities. We are starting to hear

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Speaker 1: about deaths. We'll talk about a few of them. People

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Speaker 1: up there are still very angry why it's taken so

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Speaker 1: long to dig out two weeks since the first of

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Speaker 1: the big storms moved through, and there's still problems getting

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Speaker 1: in and out of those communities. We'll talk about that

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Speaker 1: coming up after the news at two thirty. Opening statements

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Speaker 1: today in the federal criminal trial of the suspended Los

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Speaker 1: Angeles City Councilman Mark Ridley Thomas John MRT to his

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Speaker 1: friends like some subway line, MRT rapid transit. There are

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Speaker 1: a lot of people flowing smoke about this cruk. I

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Speaker 1: notice all kinds of political leaders and religious leaders are

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Speaker 1: all greasing them up. It's been a year and a

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Speaker 1: half since he was actually indicted. It's one count of

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Speaker 1: conspiracy and bribery, two counts of honest Services mail fraud,

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Speaker 1: and fifteen counts of honest services wire fraud, which is

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Speaker 1: just the federal terms they use in the cases. But

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Speaker 1: we have some detail that you know we've talked about,

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Speaker 1: but it's probably been a while about the case against

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Speaker 1: Mark Ridley Thomas. Prosecutors say, and again I want to

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Speaker 1: point this out. This is a federal case and they

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Speaker 1: pretty much damn well win. They have like a ninety

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Speaker 1: percent success rate in getting people to either plea plea

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Speaker 1: guilty or be convicted. That's how good they are. So

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Speaker 1: he may slip in with the ten percent, but we

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Speaker 1: don't know it, and we don't know who's on the jury.

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Speaker 1: They've been picked, they're ready, they're listening. I know. I'm

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Speaker 1: sure the other ten percent were guilty too, but got

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Speaker 1: to jurors who were either stupid and confused or they

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Speaker 1: had some agenda. So I'm guessing that Marilyn Flynn will

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Speaker 1: be a key witness for the prosecution. Of course, she

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Speaker 1: was the then dean of USC School of Social Work,

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Speaker 1: and she helped out Ridley Thomas's son, Sebastian. He was

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Speaker 1: given admission to USC, a full tuition scholarship and a

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Speaker 1: paid professorship. Um, how is it curious? How you how

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Speaker 1: you can get both you're a student and a professor.

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Speaker 1: I mean that's kind of like, yeah, well this was

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Speaker 1: this was a big package that won people forgot. He

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Speaker 1: was disgraced. He had problems in the state legislature during

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Speaker 1: the me too stuff. Yeah, yeah, for sexual harassment. So

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Speaker 1: he had to leave, had to lead quit the legislature.

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Speaker 1: And he's sitting I guess, on Daddy's sofa, and Dad

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Speaker 1: doesn't know what to do with him, this big blobs

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Speaker 1: sitting in his living room. He just trying to figure

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Speaker 1: out something to put this guy on a track again.

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Speaker 1: So I guess he knows that Marilyn Flynn was taken

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Speaker 1: money and h first she pled guilty, So that's what

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Speaker 1: I'm saying. I would imagine she's a key witness in

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Speaker 1: this case as to exactly what was done. Here's some

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Speaker 1: more of the details. She admitted to helping disguise and

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Speaker 1: funnel one hundred thousand dollars from Margaret Lee Thomas's campaign

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Speaker 1: account through the school to another nonprofit called United Ways

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Speaker 1: of California John not to be confused with the United Way.

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Speaker 1: That's United Ways. Yeah, but I bet you that name

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Speaker 1: was created on purpose to make it look like it's

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Speaker 1: affiliated with. Yeah, to create confusion United Ways of California.

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Speaker 1: This was done for the benefit of the Policy Research

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Speaker 1: and Practice Initiative, a new nonprofit initiative founded by Sebastian

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Speaker 1: or Ridley Thomas. That's what the Maryland founded. Flynn said,

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Speaker 1: found it. What is it? What is it that he found?

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Speaker 1: Pretty are and pr What is Policy Research and Practice Initiative?

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Speaker 1: So you see this, Ridley Thomas has one hundred thousand

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Speaker 1: dollars in his campaign fund. Now we can't give that

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Speaker 1: to his son directly, So this is this is money laundering.

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Speaker 1: They they funnel it into USC and then Maryland Flynn

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Speaker 1: sends it to United Ways of California and it's supposed

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Speaker 1: to benefit whatever. I guess. The money don't makes a

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Speaker 1: stop at this new initiative, this nonprofit initiative. What does

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Speaker 1: that mean? A nonprofit initiative and he's ahead of it,

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Speaker 1: so he would probably collect whatever salaries or do the

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Speaker 1: ahead of the nonprofit. It's it's the words they use

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Speaker 1: to disguise their criminality. So here's what happened. By funneling

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Speaker 1: the payment through USC, Ridley Thomas and co defendant Marylyn

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Speaker 1: Flynn attempted to disguise the true source of the payment

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Speaker 1: to make it appear as though USC not the then supervisor,

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Speaker 1: was the generous benefactor supporting the SUN to get it.

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Speaker 1: That's your right, John. It was money launder. It's money laundering. Yeah.

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Speaker 1: As a supervisor in twenty eighteen, he then voted on

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Speaker 1: three county proposals that Flynn had sought to shore up

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Speaker 1: her school's difficult financial situation, including a vote approving a

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Speaker 1: much much more lucrative amended something called telehealth agreement with

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Speaker 1: the USC School of Social Work. He also allegedly sought

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Speaker 1: to influence Key County decision makers associated with the approvals

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Speaker 1: and make sure Flynn knew about his efforts. So he Yeah,

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Speaker 1: Flynn was bankrupting her School of Social Work. They invested,

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Speaker 1: they were very aggressive and they were doing a lot

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Speaker 1: of online degree stuff, online degree stuff, which ended up

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Speaker 1: being a money losing operation. This telehealth fan wasn't working out,

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Speaker 1: you know, having having I guess they're their social workers

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Speaker 1: work online on the phone and ye, so you know,

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Speaker 1: you know she was. She she's eighty three years old

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Speaker 1: and she was she was falling up. The business ended

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Speaker 1: things which challenge has put a lot of pressure on

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Speaker 1: deans bringing the money. So they were telling her to

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Speaker 1: get more aggressive in terms of the business that your

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Speaker 1: school of social work does. And these were her ideas,

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Speaker 1: and yes they flopped, and usc was the worst of it.

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Speaker 1: The president that they had, Nicias Oh, is that he

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Speaker 1: actually was president at the time. He didn't get involved

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Speaker 1: in drug parties or something. Well he let I think

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Speaker 1: the head of the medical school, the dean of the

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Speaker 1: medical school ended up with drugs and school. And then

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Speaker 1: you had uh nobody uh getting rid of the guide

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Speaker 1: ecologist who was sexually assaulting hundreds of the girls who

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Speaker 1: passed through his office, right, I mean, I mean the

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Speaker 1: amount that doesn't even touch like the the Varsity Blues

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Speaker 1: sports scandal that was going then. Did tell a health

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Speaker 1: contract was expected to generate nine million dollars a year

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Speaker 1: for the social work school, so that was the payback.

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Speaker 1: Now she pled guilty, she wouldn't be sentenced until June

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Speaker 1: twenty sixth. Something tells me that if she goes on

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Speaker 1: the stand and makes her case against Ridley Thomas, her

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Speaker 1: sentence will be lighter. Yeah, that's the deal. When you're

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Speaker 1: eighty four, I don't think you want it to be

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Speaker 1: too heavy. A sentence. She's going in. Plus she's they're

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Speaker 1: going to have her testify real soon because she is

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Speaker 1: eighty four. So Sebastian became a professor of social work

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Speaker 1: in public policy at USC despite what USC. Again, remember

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Speaker 1: then that Schwartzneakers think tank, right, But Tony Vlaar was

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Speaker 1: hired and that's right. No, he didn't have to he

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Speaker 1: didn't have a graduate degree, and he became a professor

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Speaker 1: of social work. So the thing is, the thing is,

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Speaker 1: I'm reading all these other politicians and these church leaders

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Speaker 1: and business leaders in his district praising him, and what's

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Speaker 1: the jury supposed to do? Let him go? And it's

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Speaker 1: clear he committed all these crimes. There's paperwork to back

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Speaker 1: up everything that's been laid out here. There's there's there's contracts,

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Speaker 1: there's texts, there's emails, there's financial records as that hundred

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Speaker 1: thousand dollars was being passed from one location to the next.

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Speaker 1: I mean that hundred thousand dollars was in four different places.

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Speaker 1: Most importantly, there's Marilyn Flynn to say this is how

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Speaker 1: it worked, right, I mean, she's going to really make

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Speaker 1: the case to the jury that, yep, this was a

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Speaker 1: good old bribery deal. Yeah. And by the way, same

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Speaker 1: woman who gave Karen Bass her phony degree and in

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Speaker 1: term Karen Bass steered federal legislation that USC profited from.

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Speaker 1: All right, we got more coming up to Johnny Ken

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Speaker 1: kf I AM six forty. We're live everywhere on the

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Speaker 1: iHeart radio app. You're listening to John and Ken on

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Speaker 1: demand from kf I AM sixty. Listen to this. This

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Speaker 1: is real. You know all about it. Thanks for thanks

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Speaker 1: for telling me it's real. No, I'm not a joke.

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Speaker 1: Not a joke, not a joke. You know about AI, right,

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Speaker 1: artificial intelligence. They now are able to produce photos that

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Speaker 1: reflect what you're thinking about with eighty okay, And here's

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Speaker 1: how they did it. They gave participants in the study

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Speaker 1: a photo of, for example, a stuffed bear, and so

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Speaker 1: you're looking at the stuffed bear, and then the AI

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Speaker 1: tracks what activity is going on in your brain and

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Speaker 1: then produces a photo of what they think you're seeing

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Speaker 1: and thinking about. And there it is a stuffed bear. Huh, say,

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Speaker 1: have an airplane here? Uh? And and and the AI

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Speaker 1: photo here is a clock on a church steeple u

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Speaker 1: a train going down the tracks and eighty percent of

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Speaker 1: the time, the AI figured out what your brain was

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Speaker 1: imagining or king at based on the brain activity. Now, boy,

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Speaker 1: if somebody hooked up one of these uh AI trackers

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Speaker 1: out of my brain, do you know what you would see?

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Speaker 1: Hm Batty would be pretty scary. That's I read Yestero

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Speaker 1: be very embarrassing that AI wrote a mass script the

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Speaker 1: television show Mash Yeah, Alan Alda asked and Mike Farrell

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Speaker 1: alan Alda has a podcast and the fd AI to

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Speaker 1: write them a script. Is The two did their characters

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Speaker 1: for the first time in forty years since the show

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Speaker 1: ended in nineteen eighty three. The reviews were kind of mixed.

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Speaker 1: It didn't really turn out too good the comedy and well.

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Speaker 1: AI is excellent at patterns, but this is a problem

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Speaker 1: with with the driverless cars too. You can you can

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Speaker 1: program the general patterns, but the unpredictable nature of somebody's

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Speaker 1: creative writing talents or their sense of human is hard

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Speaker 1: for a computer, hard for an Yeah, there's just there's

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Speaker 1: too much weird, strange, unpredictable things that people do when

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Speaker 1: they drive in the same thing. When you're writing a

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Speaker 1: story or writing a joke or a scene or something

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Speaker 1: it's actually not that easy. If it was that easy,

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Speaker 1: everybody could do it. But it's not. Only selected people

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Speaker 1: who have unusual streaks of genius are able are able

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Speaker 1: to execute it. The announcement was made today out in

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Speaker 1: San Berdino County that four hundred and eighty eight miles

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Speaker 1: of county maintained roads have been cleared in the San

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Speaker 1: Bernardino Mountains. That's about ninety five percent of roadways for

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Speaker 1: which the county is responsible in the mountain communities. So

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Speaker 1: they believe that they have made big strides in helping

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Speaker 1: people get around again. But we are beginning to find

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Speaker 1: out that there was a toll for people being snowed in,

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Speaker 1: and it wasn't just because they were hungry and grouchy.

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Speaker 1: There's some dead people. We have the story of a

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Speaker 1: woman that apparently she was snowed in for days in

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Speaker 1: her home in Big Bear. Her family said it wasn't

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Speaker 1: clear how urgent her medical need to groan during last

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Speaker 1: month's record setting snowstorms. Her sister said she needed medical

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Speaker 1: attention in the midst of the storm. We could not

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Speaker 1: get that to her. Her family called for an emergency

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Speaker 1: wellness check on Monday. It was too late. They did

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Speaker 1: get to the home at nine am on Monday, and

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Speaker 1: she was discovered dead, no signs of trauma or suspicious circumstances.

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Speaker 1: I had heard yesterday that some of them were sort

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Speaker 1: of home hospice people. The woman that's telling this story

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Speaker 1: is Michelle Hake. It's her sister that died, but she

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Speaker 1: does not want her name released, so we do not

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Speaker 1: know the name of the woman. And she would not

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Speaker 1: say what her sister's medical history was or what may

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Speaker 1: have led to her death, but she said she has

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Speaker 1: no doubt if she could have gotten the care she

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Speaker 1: needed had the storms not trapped her inside, cutting her

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Speaker 1: off from help, she might still be alive. But I

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Speaker 1: had read that some of the people that died were

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Speaker 1: sort of in a hospice situate. Jimmy Carter, is you

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Speaker 1: know at home right exactly? You know they were going

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Speaker 1: to die any day now, probably, And of course the

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Speaker 1: circumstances of the snow cutting off any kind of help

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Speaker 1: like food and water, and all the stress of it. Yeah, right, probably. Well,

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Speaker 1: it looks like the County of San Bernardino had zero

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Speaker 1: expectation anything like this would happen, zero preparedness. They're calling

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Speaker 1: it a once in a generation. So if you want

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Speaker 1: to prepare for that, you're gonna have to spend a

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Speaker 1: lot of money. And we may not have a storm

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Speaker 1: like this for twenty five years, so you know, you

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Speaker 1: gotta look at both sides of this. Oh yeah, they

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Speaker 1: want to start buying a whole bunch of snowplows, go ahead,

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Speaker 1: and trucks and whatever else you need and gear, and

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Speaker 1: then nothing happens for twenty five years, and people go,

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Speaker 1: what happened to the money? Yeah, right over there and

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Speaker 1: all the equipment. The lesson is is when you see

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Speaker 1: a big snowstorm being predicted, get out of there. Hurricane

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Speaker 1: well hit a coastal area, get out their clayman that

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Speaker 1: they didn't know until the last day or two that

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Speaker 1: it could be this much snow. You can get off

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Speaker 1: the mountain. You can get off the mountain in any

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Speaker 1: direction and roughly half an hour. Right. What if it

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Speaker 1: turns out to just be a few inches and they

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Speaker 1: were wrong, then you turn around and go back. This

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Speaker 1: is like the hurricane debate that I don't understand. Be

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Speaker 1: happy that they were wrong and you don't have a disaster.

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Speaker 1: You're going back to I never understood that okay. So

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Speaker 1: but there's always going to beat people say, oh, they're exaggerating.

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Speaker 1: I'm saying okay, and then I always wanting to they panic,

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Speaker 1: and then and then you're government hacks. John Copel told

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Speaker 1: me that then you're then you're the one who gets

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Speaker 1: trapped in your house for two weeks. I don't know

426
00:24:42,320 --> 00:24:44,880
Speaker 1: what to tell you. I mean, life isn't perfect. There's

427
00:24:44,920 --> 00:24:48,400
Speaker 1: no guarantees. If you want to be assured that you're

428
00:24:48,400 --> 00:24:51,760
Speaker 1: going to survive, and you're gonna eat, drive down the

429
00:24:51,840 --> 00:24:54,080
Speaker 1: hill and spend one hundred dollars on a hotel room,

430
00:24:54,680 --> 00:24:57,399
Speaker 1: and do you know how human nature is now? People

431
00:24:57,480 --> 00:25:00,239
Speaker 1: will do that when there's some kind of predicted to him.

432
00:25:00,240 --> 00:25:02,359
Speaker 1: I though, we're gonna get rained again coming up this

433
00:25:02,400 --> 00:25:04,440
Speaker 1: week and next week. I don't know how much that's

434
00:25:04,440 --> 00:25:06,919
Speaker 1: gonna turn into snow. They were saying that it would

435
00:25:06,920 --> 00:25:09,760
Speaker 1: probably only be snowing at very high elevations. But you

436
00:25:09,800 --> 00:25:12,639
Speaker 1: wonder if people are gonna do exactly that with the

437
00:25:12,640 --> 00:25:15,199
Speaker 1: coming storms and say, I'm not taking a chance. Man,

438
00:25:15,440 --> 00:25:17,720
Speaker 1: what happened? I read the snow totals like like a

439
00:25:18,000 --> 00:25:22,679
Speaker 1: hundred and sixteen inches in Lake Arrowhead, one hundred and

440
00:25:22,720 --> 00:25:26,240
Speaker 1: sixteen that that's that's what is that? That's nine and

441
00:25:26,280 --> 00:25:28,919
Speaker 1: a half feet or eight and a half feet that

442
00:25:29,000 --> 00:25:31,360
Speaker 1: was over the course of the week or uh yeah,

443
00:25:31,560 --> 00:25:33,040
Speaker 1: the course of the week for this for the seven

444
00:25:33,119 --> 00:25:39,879
Speaker 1: days nine and a a half feet yeah, yeah, no, no, no,

445
00:25:39,920 --> 00:25:43,280
Speaker 1: I had I had a whole list that I totals

446
00:25:43,280 --> 00:25:47,040
Speaker 1: of snow totals. Yeah, you made it out yourself. I

447
00:25:47,040 --> 00:25:48,679
Speaker 1: came back. I got it from the La Times, but

448
00:25:48,760 --> 00:25:50,960
Speaker 1: I I had isolated it and now I can't find

449
00:25:50,960 --> 00:25:55,480
Speaker 1: it well anyway, hit the running springs had I think

450
00:25:55,480 --> 00:25:58,200
Speaker 1: twelve and a half feet of snow twelve and a

451
00:25:58,240 --> 00:26:00,639
Speaker 1: half feet of snow running springs the road from Lake

452
00:26:00,720 --> 00:26:06,199
Speaker 1: Arrowhead now, so there's no way to predict that, and

453
00:26:06,240 --> 00:26:09,840
Speaker 1: there's no way to deal with that. Although I wonder

454
00:26:09,920 --> 00:26:15,800
Speaker 1: why they weren't just plowing and de icing everything hour

455
00:26:15,880 --> 00:26:18,960
Speaker 1: by hour, like you don't wait until three feet of

456
00:26:19,000 --> 00:26:21,960
Speaker 1: snowpile up. Is like you run the plows up and

457
00:26:22,040 --> 00:26:25,879
Speaker 1: down and up and down constantly, And I don't know

458
00:26:25,880 --> 00:26:28,640
Speaker 1: if they were doing that. All right, we got more

459
00:26:28,680 --> 00:26:31,119
Speaker 1: coming up. Our special guest after three o'clock will b

460
00:26:31,240 --> 00:26:34,960
Speaker 1: La County Deputy DA John Hatami, who has done a

461
00:26:35,000 --> 00:26:38,679
Speaker 1: remarkable job over the years, and cases sad cases of

462
00:26:38,760 --> 00:26:44,440
Speaker 1: young boys being killed by their mothers and their living boyfriends.

463
00:26:44,560 --> 00:26:47,360
Speaker 1: He's going to talk a bit about the Anthony Avelo's case.

464
00:26:47,840 --> 00:26:50,439
Speaker 1: Avelos his mother and living boyfriend are found guilty of

465
00:26:50,480 --> 00:26:53,919
Speaker 1: his murder by a judge in an announcement yesterday. And

466
00:26:53,960 --> 00:26:57,879
Speaker 1: of course John Hatami had a lot of involvement in

467
00:26:57,920 --> 00:27:01,280
Speaker 1: the Gabriel Fernandez case from years ago. I foundered by

468
00:27:01,280 --> 00:27:03,720
Speaker 1: his mother and a boyfriend. I found the list. So

469
00:27:03,840 --> 00:27:06,120
Speaker 1: Running Springs got one hundred and fifty inches of snow

470
00:27:06,160 --> 00:27:08,880
Speaker 1: twelve and a half feet. There you go. Areas east

471
00:27:08,880 --> 00:27:10,800
Speaker 1: of Big Barrel Lake got one hundred and thirty four

472
00:27:11,200 --> 00:27:14,560
Speaker 1: Lake Arrow had one hundred and ten cresh line a hundred.

473
00:27:16,040 --> 00:27:22,040
Speaker 1: That's that's just the most overwhelming storm I've ever seen anywhere.

474
00:27:23,280 --> 00:27:25,159
Speaker 1: John's also going to talk about the need to do

475
00:27:25,200 --> 00:27:27,719
Speaker 1: something with the social workers and maybe a change in

476
00:27:27,760 --> 00:27:30,760
Speaker 1: the laws, something called gross negligence. We'll talk about all

477
00:27:30,800 --> 00:27:33,560
Speaker 1: this after three. Johnny Ken kf I AM six forty

478
00:27:33,600 --> 00:27:36,720
Speaker 1: live everywhere the iHeartRadio app. You're listening to John and

479
00:27:36,840 --> 00:27:43,800
Speaker 1: Ken on demand from kf I AM sixty. Yeah, John

480
00:27:43,800 --> 00:27:46,040
Speaker 1: and Tommy will join us after the news at three o'clock.

481
00:27:46,200 --> 00:27:50,480
Speaker 1: The La County Deputy District Attorney will talk about the

482
00:27:50,720 --> 00:27:54,040
Speaker 1: story yesterday with the parents. Well, the mother of a

483
00:27:54,040 --> 00:27:55,440
Speaker 1: little boy at ten year old by the name of

484
00:27:55,480 --> 00:27:58,320
Speaker 1: Anthony Avelos, who was murdered by his mother and her

485
00:27:58,400 --> 00:28:02,080
Speaker 1: living boyfriend died back in twenty eighteen. A judge did

486
00:28:02,160 --> 00:28:05,679
Speaker 1: find the couple guilty. You can also talk about what

487
00:28:05,720 --> 00:28:09,560
Speaker 1: we can do concerning the failure of social workers. They

488
00:28:09,680 --> 00:28:11,760
Speaker 1: visited this home many times, removed the boy a couple

489
00:28:11,760 --> 00:28:14,359
Speaker 1: of times, but always sent them back. Nobody seems to

490
00:28:14,359 --> 00:28:16,960
Speaker 1: be interested in that part of the story. No, I

491
00:28:17,000 --> 00:28:19,200
Speaker 1: mean there was a case where, remember they did charge

492
00:28:19,200 --> 00:28:21,359
Speaker 1: some social workers, but a judge dropped the case. And

493
00:28:21,400 --> 00:28:23,919
Speaker 1: you're going to find out why he dropped the charges

494
00:28:23,960 --> 00:28:28,400
Speaker 1: against the social workers in another case involving dead boy.

495
00:28:28,520 --> 00:28:30,840
Speaker 1: You know, I hear. You would think the county supervisors

496
00:28:30,840 --> 00:28:32,919
Speaker 1: would say, all right, this is this is going to stop.

497
00:28:34,119 --> 00:28:36,639
Speaker 1: We're not putting up with this anymore, because it's not

498
00:28:36,760 --> 00:28:39,080
Speaker 1: that hard for social workers to figure out when when

499
00:28:39,080 --> 00:28:41,160
Speaker 1: cases like this are happening in front of their eyes.

500
00:28:43,000 --> 00:28:46,240
Speaker 1: I have Well, anyway, we'll talk to John after three o'clock.

501
00:28:46,280 --> 00:28:50,720
Speaker 1: A couple of updates on dippity do. Governor Gavin Newsom.

502
00:28:50,760 --> 00:28:55,000
Speaker 1: Apparently they presented their budget, the news administration to the

503
00:28:55,000 --> 00:28:58,560
Speaker 1: Assembly Budget Committee, and they want to give five hundred

504
00:28:58,600 --> 00:29:02,120
Speaker 1: and twenty six million dollars to high speed rail. Ah.

505
00:29:02,360 --> 00:29:05,920
Speaker 1: This is really perplexing, and they've of course been doing

506
00:29:05,960 --> 00:29:08,520
Speaker 1: this for years. They're using money they're getting from the

507
00:29:08,600 --> 00:29:11,680
Speaker 1: carbon trading because he bends over for the unions. Basically

508
00:29:11,720 --> 00:29:14,080
Speaker 1: the higher price you pay for gasoline, because it's all

509
00:29:14,120 --> 00:29:18,760
Speaker 1: factored into that is being channeled to this failure, this

510
00:29:19,080 --> 00:29:25,160
Speaker 1: now unbelievably long term fill fifteen years. These kinds of

511
00:29:25,160 --> 00:29:29,080
Speaker 1: boone doggles and failures are usually connected to corruption, just

512
00:29:29,160 --> 00:29:32,080
Speaker 1: basic old fashioned corruption like they had, you know, a

513
00:29:32,160 --> 00:29:35,560
Speaker 1: hundred years ago in big cities. And Newsom is bent

514
00:29:35,640 --> 00:29:39,520
Speaker 1: over by the construction unions who are wasting their time

515
00:29:39,600 --> 00:29:42,640
Speaker 1: but making a lot of money building an non existent

516
00:29:42,720 --> 00:29:47,000
Speaker 1: railroad because they buy land and they have to you know,

517
00:29:47,120 --> 00:29:50,840
Speaker 1: plow the land. They you know, they gotta, they gotta,

518
00:29:50,880 --> 00:29:52,520
Speaker 1: they got to clear it out in order to lay

519
00:29:52,560 --> 00:29:56,640
Speaker 1: down the tracks. They got to build those those viaducts

520
00:29:56,720 --> 00:29:59,280
Speaker 1: right that they're going to have the tracks pass over

521
00:30:00,160 --> 00:30:03,760
Speaker 1: of Bakersfield. Timbers said, it is the one little segment

522
00:30:03,760 --> 00:30:06,040
Speaker 1: they're working on, and right now the cost estimate is

523
00:30:06,080 --> 00:30:09,480
Speaker 1: more than the entire estimate for the entire rail line

524
00:30:09,520 --> 00:30:11,440
Speaker 1: back in O eight, which was thirty three billions, right,

525
00:30:11,480 --> 00:30:13,800
Speaker 1: and much of this now running upwards a thirty five billion.

526
00:30:13,840 --> 00:30:16,120
Speaker 1: They second, it's all lies. Anyway, it'll be much higher

527
00:30:16,120 --> 00:30:17,880
Speaker 1: than that, and much of that is labor costs. Much

528
00:30:17,920 --> 00:30:22,000
Speaker 1: of that paychecks to thousands of guys who are in

529
00:30:22,040 --> 00:30:24,400
Speaker 1: a union. They vote in a union and they're going

530
00:30:24,480 --> 00:30:27,920
Speaker 1: to vote for the union leader who pays off a

531
00:30:27,920 --> 00:30:30,560
Speaker 1: guy like Newsom pays off the legislature. That's what the

532
00:30:30,600 --> 00:30:33,520
Speaker 1: union news goes for. It goes for bribes. And so

533
00:30:33,720 --> 00:30:37,320
Speaker 1: the bribes reached Newsom's desk, and when he makes noises

534
00:30:37,360 --> 00:30:40,440
Speaker 1: about canceling high speed rail, the union calls up and said,

535
00:30:40,440 --> 00:30:42,160
Speaker 1: are you crazy? You know how much money we gave you?

536
00:30:42,560 --> 00:30:45,840
Speaker 1: Do you want to be president? And so it was

537
00:30:45,880 --> 00:30:49,400
Speaker 1: like okay, okay, because a half a billion dollars in

538
00:30:49,440 --> 00:30:55,520
Speaker 1: the California budget is pocket change. The other story where

539
00:30:56,000 --> 00:30:59,320
Speaker 1: Newsome is making news this afternoon. Remember we reported the

540
00:30:59,360 --> 00:31:04,480
Speaker 1: other day that he's declared war on Walgreens. Because Walgreens

541
00:31:04,640 --> 00:31:07,120
Speaker 1: is not going to distribute its abortion medication in twenty

542
00:31:07,120 --> 00:31:11,560
Speaker 1: one states, not California, but twenty one states. Newsom said,

543
00:31:11,560 --> 00:31:14,959
Speaker 1: we're done with Walgreens. Well, they put out their announcement

544
00:31:15,680 --> 00:31:20,400
Speaker 1: they're pulling back a contract that they have with Walgreens.

545
00:31:21,360 --> 00:31:26,440
Speaker 1: It allows the state to procure specialty pharmacy prescription drugs

546
00:31:26,440 --> 00:31:30,400
Speaker 1: primarily for the prisoners. They're primarily used by the California

547
00:31:30,440 --> 00:31:35,120
Speaker 1: Department of Corrections of Rehabilitation the healthcare system there. Well,

548
00:31:35,120 --> 00:31:38,880
Speaker 1: the prisoners shouldn't be getting medication anyway. That's kind of

549
00:31:38,920 --> 00:31:42,440
Speaker 1: how I feel. Although, why are we wasting money medicating prisoners?

550
00:31:42,520 --> 00:31:45,160
Speaker 1: Let him die of whatever they have. They're claiming that

551
00:31:45,200 --> 00:31:49,440
Speaker 1: the contract provides Walgreens fifty four million dollars from the

552
00:31:49,440 --> 00:31:53,320
Speaker 1: state of California, and he's saying, we will not renew

553
00:31:53,360 --> 00:31:55,760
Speaker 1: that agreement because everybody scratching their heads yesterday. What can

554
00:31:55,800 --> 00:31:59,360
Speaker 1: you do to such a it's just virtue signaling fifty

555
00:31:59,400 --> 00:32:02,760
Speaker 1: four million doesn't make any difference to Walgreens, probably not

556
00:32:03,160 --> 00:32:06,000
Speaker 1: medication for prisoners. Well, you really laid down the law there.

557
00:32:06,200 --> 00:32:09,440
Speaker 1: Walgreens is getting lots of pressure from from states where

558
00:32:09,440 --> 00:32:12,600
Speaker 1: they don't don't want to allow abortion, not even medical abortions,

559
00:32:12,640 --> 00:32:15,360
Speaker 1: not even the morning after pill. You know, I don't

560
00:32:15,360 --> 00:32:20,880
Speaker 1: know what a company is supposed to do. They're they're

561
00:32:21,040 --> 00:32:23,960
Speaker 1: they're caught between. Yeah, but they're gonna lose business on

562
00:32:24,000 --> 00:32:26,120
Speaker 1: the other end. So I mean, you gotta pick a

563
00:32:26,200 --> 00:32:28,760
Speaker 1: choose here. I mean, honestly, just because people are calling

564
00:32:28,840 --> 00:32:30,880
Speaker 1: up and yelling at you because you're selling an abortion pill,

565
00:32:30,920 --> 00:32:35,120
Speaker 1: you cave. That's silly. To me. That's too extreme and

566
00:32:35,160 --> 00:32:38,680
Speaker 1: it's way beyond the core of what most Americans believe

567
00:32:39,000 --> 00:32:42,440
Speaker 1: from the abortion issue. Right, trying to ban the pill,

568
00:32:42,880 --> 00:32:45,160
Speaker 1: which is taken very early on, I mean, come on,

569
00:32:45,520 --> 00:32:47,920
Speaker 1: but if that's extreme. But if they ban the pill

570
00:32:48,040 --> 00:32:50,480
Speaker 1: and it becomes law, then Walgreens isn't going to have

571
00:32:50,520 --> 00:32:53,800
Speaker 1: a choice. Oh you mean the state does the state?

572
00:32:53,840 --> 00:32:58,200
Speaker 1: If these states ban the pill, then Walgreens can't. Right.

573
00:32:58,520 --> 00:33:00,440
Speaker 1: I don't know what. People just smuggle the pills in,

574
00:33:00,600 --> 00:33:03,360
Speaker 1: but that's the way, right. But I mean, I'm saying legally,

575
00:33:03,480 --> 00:33:06,320
Speaker 1: it also depends, like just how much the executives want

576
00:33:06,320 --> 00:33:08,480
Speaker 1: to deal with these problems, just how much do they

577
00:33:08,520 --> 00:33:10,320
Speaker 1: want to get a caught up in political battles. So

578
00:33:10,360 --> 00:33:12,520
Speaker 1: it's like, fine, we don't do the pills, we won't

579
00:33:12,520 --> 00:33:15,280
Speaker 1: do the prescriptions for the prisoners. But now they're already

580
00:33:15,280 --> 00:33:17,240
Speaker 1: caught up because by banning the pills, they've taken a

581
00:33:17,280 --> 00:33:19,440
Speaker 1: stance where the people who believe in the pills are

582
00:33:19,440 --> 00:33:21,400
Speaker 1: now going to probably boycott the company. Yeah, I think

583
00:33:21,440 --> 00:33:26,400
Speaker 1: they're trying to avoid retaliation by the Republican states that

584
00:33:27,000 --> 00:33:28,920
Speaker 1: are trying to get well. Yeah're trying to have it

585
00:33:28,960 --> 00:33:31,000
Speaker 1: both ways. We'll allow the pill and states that are

586
00:33:31,000 --> 00:33:33,080
Speaker 1: more open to abortion, we won't provide the pill in

587
00:33:33,120 --> 00:33:35,920
Speaker 1: states that don't like abortions. Soon they're making a financial

588
00:33:35,960 --> 00:33:40,120
Speaker 1: calculation and also a bub relations calculation, maybe just to

589
00:33:40,120 --> 00:33:42,800
Speaker 1: get the issues off the table and take their financial

590
00:33:42,880 --> 00:33:44,959
Speaker 1: hit and just get out of this. I don't know,

591
00:33:45,600 --> 00:33:48,640
Speaker 1: it's it's it's a stupid set of issues. But they

592
00:33:48,680 --> 00:33:51,120
Speaker 1: only have they may have somebody behind the decision making

593
00:33:51,120 --> 00:33:54,680
Speaker 1: that is sympathetic to that belief, So could be, could

594
00:33:54,720 --> 00:33:56,920
Speaker 1: be all right. When we come back, John had Tommy

595
00:33:56,960 --> 00:33:59,120
Speaker 1: will be our guests. He's an LA County Deputy DA

596
00:33:59,200 --> 00:34:00,800
Speaker 1: and of course he's been on the show many times,

597
00:34:01,280 --> 00:34:04,560
Speaker 1: outspoken opponent of many of George Gascombe's policies. We're going

598
00:34:04,600 --> 00:34:07,400
Speaker 1: to talk to him specifically after we talk about the

599
00:34:07,400 --> 00:34:09,880
Speaker 1: Anthea Avelos case. That verdict came down yesterday from a

600
00:34:09,960 --> 00:34:12,720
Speaker 1: judge where his mother and living boyfriend were found guilty

601
00:34:12,760 --> 00:34:15,480
Speaker 1: of his death. But what about the social workers none

602
00:34:15,480 --> 00:34:17,399
Speaker 1: of them were charged in this case, and what can

603
00:34:17,440 --> 00:34:21,120
Speaker 1: be done with the laws to make it possible to

604
00:34:21,160 --> 00:34:25,960
Speaker 1: do something about the complete incompetence from these social workers

605
00:34:26,000 --> 00:34:27,759
Speaker 1: who don't do enough to get these children out of

606
00:34:27,760 --> 00:34:31,600
Speaker 1: these homes. Johnny Ken, caf i AM six forty Live everywhere,

607
00:34:31,640 --> 00:34:33,879
Speaker 1: the iHeart Radio app, Mark lit in the twenty four

608
00:34:33,880 --> 00:34:36,319
Speaker 1: hour cafin zerm Hey, you've been listening to the John

609
00:34:36,360 --> 00:34:38,320
Speaker 1: and Ken Show. You can always hear us live on

610
00:34:38,520 --> 00:34:42,120
Speaker 1: caf i AM sixty one pm to four pm every

611
00:34:42,160 --> 00:34:45,400
Speaker 1: Monday through Friday, and of course anytime on demand on

612
00:34:45,440 --> 00:34:46,640
Speaker 1: the iHeart Radio app