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Speaker 1: Welcome everybody. How was our lovely Thanksgiving? Let's all way

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Speaker 1: in airport last night? Oh you you went somewhere. Just

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Speaker 1: went with my son back to take him to school.

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Speaker 1: Oh and I flew in from San Francisco to Lax

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Speaker 1: last night. San Francisco. I don't think anybody goes to

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Speaker 1: San Francisco for Thanksgiving anymore. Why there was nobody at

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Speaker 1: the airport. It's completely empty airport, empty freeways around it.

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Speaker 1: You thought you were in Des Moines. That was just

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Speaker 1: not a soul around. Quite lucky for you. Landed in

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Speaker 1: La and the plane was actually ten minutes ahead of time,

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Speaker 1: landed almost exactly at ten o'clock. And what well, no gate.

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Speaker 1: That's what happened to me every time we land on

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Speaker 1: time or early. No gate. Have to sit here. We'll

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Speaker 1: get this. The gate was blocked by another plane that

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Speaker 1: was having some dispute over the gas that the pilot

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Speaker 1: had purchased. There wasn't he didn't have the paperwork necessary

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Speaker 1: for the gas purchase, or so our pilot told us.

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Speaker 1: I thought that was taken care of. I don't feel

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Speaker 1: like you pull up to a pump and fill up

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Speaker 1: a plane and you got to pay it. I guess

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Speaker 1: he didn't have his take out his credit card. Yeah, well,

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Speaker 1: I don't know. He said, paperwork over the gas purchase.

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Speaker 1: What that is? Weird? All right, So that was That

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Speaker 1: was about fifteen twenty minutes. Then our pilot comes out

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Speaker 1: on the intercom and says, all right, well the gas

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Speaker 1: paperwork problem has been taken care of. He goes, now

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Speaker 1: we have in a medical emergency. There's a medical emergency

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Speaker 1: plane that has taken over the slot at the gate. Oh.

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Speaker 1: I don't know if you know. They had rushed somebody

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Speaker 1: to the airport to get him on this plane, or

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Speaker 1: somebody inside the airport, but this this person needed to

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Speaker 1: be whisked off, I guess for emergency purposes. Well, that

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Speaker 1: was another twenty minutes. Now. Meantime, I'm just really tired

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Speaker 1: because we'd driven up there, we'd gotten up early in

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Speaker 1: the morning, and I am crammed between two overly large

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Speaker 1: men in the middle seat. Now I had not booked

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Speaker 1: the middle seat, but this airline, which I'm normally fond of,

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Speaker 1: gave me what they thought was an upgrade. So I

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Speaker 1: went from an aisle seat probably in row fourteen, to

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Speaker 1: a middle seat in row ten. It was a comfort seat,

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Speaker 1: except these two guys were spilling over into my comfort.

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Speaker 1: There was no comfort. There was just rolls of these

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Speaker 1: two men lopping over the side armrests. One guy was

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Speaker 1: trying to hold himself in. I did appreciate it. Like

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Speaker 1: he knew he was way too big, so he kind

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Speaker 1: of folded his arms and was kind of trying to

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Speaker 1: compress his excess into the seat. Many you have no luck.

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Speaker 1: I had no luck. I should have rejected that upgrade.

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Speaker 1: I had no idea began. You have a good Thanksgiving?

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Speaker 1: I did? Thanks for asking, Ken. It was all your

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Speaker 1: favorite vegetables. I did. I had great vegetables. You you

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Speaker 1: you cooked a dead bird. Didn't you know? I did not?

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Speaker 1: I cooked vegetables. You had allowed it to happen in

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Speaker 1: your own It happened in your house. It happened, and

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Speaker 1: I didn't even look at it. You were in accessory

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Speaker 1: to the year. No, I don't take any blame at all.

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Speaker 1: Did you have a nice Thanksgiving? Ken? Oh? Yeah, yeah,

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Speaker 1: wonderful traditional thanks Ki. Yes, I ate turkey. Sorry, that's okay, Sorry,

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Speaker 1: but man, I passed out a couple hours later. I

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Speaker 1: really got that. You know that ingredient in there that's

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Speaker 1: supposed to make you sleepy. Tripped a fan and that

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Speaker 1: really worked on me. I was gone. I got home

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Speaker 1: and I was just like laying out on the carpet.

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Speaker 1: But I'm sorry, Dever, we didn't have any vegans at

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Speaker 1: our Thanksgivings, not a one, not a one. Everybody ripped

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Speaker 1: into the meat. There are There aren't many of them. No, Well,

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Speaker 1: I have a couple of my family. I don't see

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Speaker 1: my family as often for the holiday, but I remember

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Speaker 1: there's a couple of them that you have to prepare

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Speaker 1: some specials. Aren't they a pain? They're not. But I

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Speaker 1: have people over I have to prepare meat, write So

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Speaker 1: why couldn't somebody prepare vegans. There's always a lot of questions.

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Speaker 1: There's always a lot of questions. Have you had to

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Speaker 1: eat with a vegan? They interrogate the waitress, They go

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Speaker 1: into the into the case. Well a vegans trickier because

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Speaker 1: of the whole dairy thing. You never know what's thrown

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Speaker 1: into certain foods from the dairy case and time. And

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Speaker 1: I mean they could cook the vegetables in butter and

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Speaker 1: crazy right yeah, or fish oil thin. They go in

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Speaker 1: the kitchen, they interrogate the shift the ship. I don't

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Speaker 1: do that, Adam shift. Adam shift is not working in

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Speaker 1: the back of the kitchen. It should be yeah, yeah

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Speaker 1: it it takes a lot to get through it. Please them.

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Speaker 1: All right, Well, John, you aren't the only one that

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Speaker 1: noticed this story. A bunch of listeners are sending it.

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Speaker 1: It's a what we describe on the John and Ken

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Speaker 1: Show as a daily male special. That Dailymail is a

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Speaker 1: tabloid of sorts out of the UK Dailymail dot com.

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Speaker 1: But they have like a US version, yes, and a

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Speaker 1: UK version yes. Right. They're a worldwide news organization and

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Speaker 1: they rewrite everybody else's stuff and they are well read.

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Speaker 1: You told me once. They get a lot of hits,

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Speaker 1: say a lot of visits. They are the number one

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Speaker 1: news site at times in the world. Look at that. Well,

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Speaker 1: I can see why, because they kind of are like

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Speaker 1: the greatest hits the way you might describe the Drudge Report,

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Speaker 1: pull together stories from all over the place. It definitely

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Speaker 1: get your attention when you see the headlines. Whether not

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Speaker 1: you click depends on your experiences with the website. Like

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Speaker 1: the Dailymail, I don't click on all these stories because

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Speaker 1: sometimes I'm like, ah, this one's not really going to

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Speaker 1: go anywhere. And they have a lot of big pictures too,

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Speaker 1: which makes it they do, which makes it horrible to

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Speaker 1: scroll through the story because sometimes you're scrolling picture after picture.

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Speaker 1: I was like, all right, I want to read the story.

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Speaker 1: Where's the story here? More pictures, more pictures. It's for

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Speaker 1: the dumb and people who need to be entertained with pictures.

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Speaker 1: It's the reason years ago the USA Today started publication,

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Speaker 1: but a lots of short stories and pictures because that's

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Speaker 1: what certain audience members that I have the patients to read.

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Speaker 1: Here's the headline exclusive. This is their own study. That's

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Speaker 1: why it's a Dailymail special. It's frightening for society. Thousands

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Speaker 1: of convicted pedophiles in California are being released from prison

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Speaker 1: in less than the year for horrific acts including rape, sodomy,

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Speaker 1: and sexual abuse of kids under the age of fourteen.

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Speaker 1: Dailymail dot Com investigation reveals, and apparently they took a

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Speaker 1: look at the California Sex Offenders database, and I guess

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Speaker 1: they're able to determine because anybody can look at the database.

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Speaker 1: They can see that these people are not serving much

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Speaker 1: present time to any at all. Seven thousand, seven thousand

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Speaker 1: sex offenders were convicted of lewd or lascivious acts with

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Speaker 1: a child under the age of fourteen, but they were

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Speaker 1: let out of prison the same year that they were

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Speaker 1: incarcerated the same year. Yeah, a lot of them took

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Speaker 1: plea deals. That was a quick way out. Others who

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Speaker 1: committed some of the worst child sex crimes, including sodaby

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Speaker 1: and rape of children, served similarly short sentences. Current and

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Speaker 1: former LA sex crime prosecutors tell The Daily Mail the

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Speaker 1: figures are terrifying and shameful and want to know. One

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Speaker 1: of them is a Deputy d LA County Deputy DA

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Speaker 1: John hat Tommy, who was on our show many times before,

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Speaker 1: and in fact he was the first person from inside

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Speaker 1: the DA's office to appear on our show to talk

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Speaker 1: about his objections to George Gascon. I still remember that

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Speaker 1: it was followed by many other Deputy das, but he

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Speaker 1: was out there. He was already saying it in public

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Speaker 1: and doing TV interviews and a him on our show

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Speaker 1: to talk about some of the cases he's worked on.

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Speaker 1: In the outrages of the policies of George Gascon to

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Speaker 1: wreck those cases. Thousands of child victims are being denied

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Speaker 1: justice and George gascon in his group of radical prosecutors

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Speaker 1: could care less, said hat Tommy. And they provide examples

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Speaker 1: in this story, including a man by the name of

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Speaker 1: Noah Thomas Holt complete with his it was a booking

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Speaker 1: photo or wife. But he's got a grimace on his

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Speaker 1: face there. Yeah, he's got the the sex molester glare.

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Speaker 1: The yeah, the sex molester glare. He's from Watsonville in

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Speaker 1: Santa Cruz County, convicted in twenty thirteen of ludacts with

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Speaker 1: a child under the age of fourteen, child pornography, possession,

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Speaker 1: and indecent exposure. He was convicted on a no contest

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Speaker 1: plea in December of twenty thirteen, but Mega's lawd Data

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Speaker 1: says he was released within a year, and according to

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Speaker 1: his Facebook page, he started a new job at a

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Speaker 1: manufacturing company in twenty fourteen. Now that story pre dates

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Speaker 1: George Gascone and a lot of the policies that we're

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Speaker 1: going to be talking about, including Proposition fifty seven. That's

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Speaker 1: twenty thirteen. Yeah, it's it's It's been going on for

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Speaker 1: years leading up to Prop fifty seven, leading up to

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Speaker 1: George Gascone's reign. Here, this is what they've been doing. Hey,

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Speaker 1: this is the Jerry Brown error. Yes, Jerry Brown was

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Speaker 1: governor until twenty eighteen, right, but he originally got elect

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Speaker 1: twenty ten. He got elected started his third term as

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Speaker 1: governor in twenty eleven. That's right. Then he hung around

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Speaker 1: another eight years until twenty nineteen. January left for Newsom.

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Speaker 1: So this guy Holt works for Threshold Enterprises in Scott's Valley, California. Yes,

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Speaker 1: they weren't doing background jacks that day. He posted several

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Speaker 1: pictures with a young girl on his Facebook page, and

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Speaker 1: he was convicted of a DUI in twenty seventeen. Well,

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Speaker 1: the young girl could be his daughter, or his niece

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Speaker 1: or somebody necessarily mean. It's sure, it could be. It's

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Speaker 1: not that meanest nothing child. He's my left Sure, that's

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Speaker 1: a good one to put in there, though. Hey, I'm

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Speaker 1: just going by the Daily Mail's reporting. Well, I love

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Speaker 1: the Daily Mail. You just read it that way and

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Speaker 1: it's like, oh my god, he's already got a new victim.

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Speaker 1: Don't know that? So no, we don't know that. But

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Speaker 1: you do sex molesters ever? Quit sex molesting. Well, it

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Speaker 1: seems to me that would fall under the category of compulsions. Yeah,

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Speaker 1: I mean, you would think if you're imprisoned enough and

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Speaker 1: serve enough jail time, you might say it's not worth it.

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Speaker 1: But obviously we believe here on the John and Ken

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Speaker 1: Show that if you give somebody a light sentence that

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Speaker 1: tells him in no way at all that what they're

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Speaker 1: doing is really bad, and they will continue the compulsion.

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Speaker 1: Whatever it is you desire, you're always going to desire.

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Speaker 1: That is true. You're not suddenly gonna switch a species.

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Speaker 1: The one that gets you to go whoa when you

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Speaker 1: scroll down is Thierry armand Costa eight sixty one. This

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Speaker 1: guy looks like Uncle Fenster from the Adams Family. He's

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Speaker 1: got the biggest, baldest head. It is completely bald. Yeah,

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Speaker 1: there's really nothing there. He's got a death stare. Yes,

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Speaker 1: that is also Yeah, that may be the serial killer stare.

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Speaker 1: That's beyond the sex molester stare. Now he's another one

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Speaker 1: from twenty fourteen, convicted in twenty fourteen of ludas with

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Speaker 1: a child under fourteen, using a minor to make child poorn.

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Speaker 1: Bubber's at least the same year. The point here is

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Speaker 1: these sound like serious crimes, and yet they're all released

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Speaker 1: within the same year. They treat them like they did

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Speaker 1: some shoplifting at a Walmart. Yeah, I mean there's are

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Speaker 1: these misdemeanors. I mean these should be these should be felonies, right, Yes,

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Speaker 1: they should be felonies because he was sent to prison.

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Speaker 1: It wasn't sent to a local jail, deaf. He sent

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Speaker 1: to state prison that's usually reserved for the felonies. But

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Speaker 1: he was getting probation hearings in twenty fifteen, and apparently

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Speaker 1: he made a motion in twenty nineteen to have his

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Speaker 1: records like expunged. This is another guy who like, well,

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Speaker 1: look he he had a real career. He worked as

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Speaker 1: vice president marketing for a software company, then founded his

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Speaker 1: own a company called green Zone Security Software, and another

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Speaker 1: marketing role at an Ensis Technologies. Nice. Well, you just

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Speaker 1: you just don't know. It could be people you work with.

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Speaker 1: All right, We got more when we come back. Also,

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Speaker 1: of course, after three o'clock, our guest will be Steve

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Speaker 1: Gregory from Cafeine News along these same lines, although in

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Speaker 1: this case this man is not going to prison. Apparently

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Speaker 1: he's dead. But it's the former Virginia police officer who

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Speaker 1: came to California to Riverside to hook up with a

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Speaker 1: young girl that apparently he made believe was probably more

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Speaker 1: closer to his eight to her age. Johnny ken KF

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Speaker 1: I am six forty Live Everywhere the iHeartRadio app. I

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Speaker 1: think it was last week or maybe the week before

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Speaker 1: that the announcement was made, and it was of course

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Speaker 1: an estimate that the planet now has eight billion people

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Speaker 1: in it. Yes, so to honor that, the New York

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Speaker 1: Times decided to go to the man named Less Night

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Speaker 1: and his group is called Voluntary Human Extinction And basically

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Speaker 1: what he would like if you to stop reproducing and

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Speaker 1: let the human race die out to save the planet. Now,

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Speaker 1: didn't I tell you that the climate change crowd this

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Speaker 1: was their ultimate end game. Yes, this is what they want.

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Speaker 1: They want us to become extinct because the damage we're

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Speaker 1: doing on the planet. They really want to go that far. Huh.

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Speaker 1: Look at this guy made his whole life. I mean,

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Speaker 1: you've made the point that they want to send us

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Speaker 1: back to the Stone Age. So we're not using anything

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Speaker 1: that involves fossil fuel. Firstment or first stop is the

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Speaker 1: Stone Age. A second stop is extinction. Don't let us

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Speaker 1: live as long as we're willing to live in a

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Speaker 1: Stone Age environment. But we're not allowed to reproduce anymore.

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Speaker 1: This man doesn't get around it. Age twenty five, you

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Speaker 1: had a va sectomy. I'm telling you that because he's

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Speaker 1: now seventy five. Good, So for fifty years he's lived

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Speaker 1: tied off. He's the foul of the voluntary human extinction movement,

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Speaker 1: although apparently he only added the word voluntary a few

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Speaker 1: years ago. Decades so wait, up to that point, it

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Speaker 1: was going to be forcible extinction. The best thing people

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Speaker 1: can do to help the earth is to stop having children.

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Speaker 1: They do not encourage suicide. They do not support mass

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Speaker 1: murder or forced birth control. Oh is that it's kind

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Speaker 1: of a thing on your own honor to just not

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Speaker 1: have kids? Right? So I guess they ran into some

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Speaker 1: bad public relations when they probably they did when they

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Speaker 1: took this literally and said, wow, you want to kill

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Speaker 1: people used to part with an asia. That's really but

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Speaker 1: you know what, you know, that's the real goal here.

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Speaker 1: They might dress it up, they'll just gustle it up

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Speaker 1: in some more gentile language, but they want us all dead. Especially.

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Speaker 1: But he's been around doing this for than fifty years.

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Speaker 1: Was he thinking climate change back in nineteen seventy or

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Speaker 1: is that just the whole Earth Day movement, that was

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Speaker 1: the zero population move been started in the nineteen sixties.

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Speaker 1: I did, now, I remember the first Earth Day was

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Speaker 1: nineteen seventy. Yeah, no, doctors a lot of emphasis on him.

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Speaker 1: We were destroying the planet? Was it about fossil fuels?

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Speaker 1: So much about everything else? Like this was the baby

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Speaker 1: boomer hippie LSD crowd, and now they've morphed into human extinction.

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Speaker 1: Because even the Times he gives him, he mentions that

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Speaker 1: the main factor is the is the climate crisis. But

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Speaker 1: as the Times points out, poor countries that are heavily populated,

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Speaker 1: such as India, actually contribute relatively little per capita to

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Speaker 1: the greenhouse gas emissions that are heating the planet. Was

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Speaker 1: the wealthy countries with relatively smaller populations like the US

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Speaker 1: generating most of the pollution that's driving global warming? Way,

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Speaker 1: But I don't know if I yeah, I don't agree

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Speaker 1: with depleting because China is way up there and they

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Speaker 1: have a pretty poor popular Most of the global warming

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Speaker 1: gases are coming from China in India when you divide

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Speaker 1: it by their population, remember per capita, that's true a

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Speaker 1: lot of people, right, So he's playing a mathematical trick,

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Speaker 1: or the New York Times is playing a mathematical trip.

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Speaker 1: We're not putting nearly as much as India and China.

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Speaker 1: They're putting out the bulk of it, right. But that's

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Speaker 1: why we're really in trouble, because China is trying to

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Speaker 1: get its population to come up to the middle class,

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Speaker 1: and India's doing it was doing the same thing well.

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Speaker 1: And when you get there, that's when people even consume

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Speaker 1: more and travel more and emit more. That's why this

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Speaker 1: whole climate change debate, all these laws and regulations is pointless,

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Speaker 1: is a waste of time and money. There is nobody

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Speaker 1: here in the United States that's going to do anything

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Speaker 1: about climate change because between China and India, they got

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Speaker 1: over two and a half billion people that they've got

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Speaker 1: a feed that they have to raise into the middle class,

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Speaker 1: that they have to provide fuel and jobs for. And

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Speaker 1: Holmes two and a half billion, that's eight times our

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Speaker 1: population here. The other part of this article is that

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Speaker 1: apparently while the more we grow the human population has

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Speaker 1: doubled in the last half century, we're killing off the wildlife.

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Speaker 1: Wildlife populations have declined by seventy percent, nearly half of

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Speaker 1: all pregnancies worldwide, that's one hundred and twenty one million

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Speaker 1: a year are unintended. Yeah, that's probably true. The Center

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Speaker 1: for Biological Diversity handed out a million endangered species themed condoms,

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Speaker 1: colorfully packaged with slogans such as for the sake of

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Speaker 1: the horned lizard, slow down, love wizard, love wizard. What

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Speaker 1: does that mean? Wait, so they think all the horny

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Speaker 1: poor people? Yeah, around the planet. Right. The more the

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Speaker 1: planet grows, the tougher it is for wildlife to survive,

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Speaker 1: because we had to take over areas. So does the

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Speaker 1: condom have a picture of a horny lizard? I don't know.

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Speaker 1: I don't have a picture, although he can click the link.

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Speaker 1: I didn't do that. But that's just so, I mean,

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Speaker 1: just so silly. I did click the link. No, it says,

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Speaker 1: oh what does this one say? Something in the dark,

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Speaker 1: Think of the monarch. And it's a picture of the monarch. Butterfly,

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Speaker 1: very pretty butterfly. Right, can't refrain remember the whipping crane.

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Speaker 1: These are condom packages. Well yeah, that'll uh, that'll knock

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Speaker 1: out your your desire real fast. Huh. Yeah, start wrap

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Speaker 1: with care. Save the polar bear. That's a cute one

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Speaker 1: before it gets any hotter. Remember the sea otter you

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Speaker 1: like these are? Yeah, sure, deber Mark likes him. I

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Speaker 1: can hear that's that's going to reduce the population. Yeah, well,

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Speaker 1: deper Mark, you had kids you shouldn't have. You're contributing

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Speaker 1: to the end of wild block. It was a long

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Speaker 1: time ago. Yeah, are they having kids who not yet? No, grandma?

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Speaker 1: Oh that's I implied something really sharply. I remember, and

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Speaker 1: I don't how many years ago you had somebody in

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Speaker 1: college and I got that persons probably now. But kids

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Speaker 1: are having school now. Yeah, No, they're they're in their

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Speaker 1: prime reproductive years here. No, you're a lot of people

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Speaker 1: today put off child birthday, become a grandmother. It's going

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Speaker 1: to be ruthless, it is. I won't be posting. So

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Speaker 1: this guy, that's vanity. This guy, this guy featured in

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Speaker 1: this story has been a high school substitute teacher for

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Speaker 1: most of his working life. Oh isn't that the career

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Speaker 1: of a loser? H um? Yeah, And he basically took

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Speaker 1: the reporter on a tour of his property where he

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Speaker 1: has a lot of He's a self professed serial monogamous,

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Speaker 1: lives alone, but his girlfriend lives next door, and it's

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Speaker 1: fully on board with his cause. I mean, this guy's

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Speaker 1: seventy five now, so we're not talking about now. Yeah,

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Speaker 1: but he must he's up in Oregon. He must be

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Speaker 1: a leaner, mean says here. Everyone that has interviewed him

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Speaker 1: says he's just so sweet and funny and nice that

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Speaker 1: it's hard to get angry over his Yeah, his shirt says,

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Speaker 1: visualize voluntary human extinction. May we all live long and

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Speaker 1: die out. That's their mantra. You go. If the picture

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Speaker 1: is a blank person standing between it looks like a

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Speaker 1: dinosaur and a couple of dinosaur looking things. You know,

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Speaker 1: I'd say this guy was just, you know, a one off, right,

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Speaker 1: just a wacky weirdo. But there's a whole movement behind

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Speaker 1: this here. Well, you may be onto something because guess

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Speaker 1: who did the story for the New York Times, Kara Buckley,

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Speaker 1: their climate reporter. That's right now, that's what they don't discuss. Ultimately,

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Speaker 1: to get what they want, we all have to die.

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Speaker 1: If we don't die, then we kill the planet. It's

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Speaker 1: either the planet or us. You've always thought there's too

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Speaker 1: many people, So well there's too many people. Well let's

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Speaker 1: let's talk about who should be thinned down? Starting a list.

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Speaker 1: H yeah, let's which country goes first? We got more

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Speaker 1: coming up. John and Ken kf I am six forty

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Speaker 1: live everywhere in the iHeartRadio app Grandma Debora, Mark no

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Speaker 1: I just I can't wait for that day. He's live

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Speaker 1: at the CAMPI News. The twelfth annual KFI Pasta Thon

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Speaker 1: is here, John Cobelt where look around the room. Chef

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Speaker 1: Bruno's charity, Cattarina's Club, provides more than twenty five thousand

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Speaker 1: meals every week to kids in need in Southern California.

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Speaker 1: Your generosity is what makes this happen. How to help

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Speaker 1: donate at postathon dot com tomorrow listen to this, Go

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Speaker 1: to any Wendy's restaurant in southern California and buy a Frosty.

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Speaker 1: They're donating a dollar for every Frosty sold. Frosty any good,

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Speaker 1: any size, any flavor. Do it tomorrow for the Pasta Thon.

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Speaker 1: You can try their new peppermint frosty that's kind of

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Speaker 1: their holiday theme, like a candy king. Okay, if you

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Speaker 1: don't want to froster, you can donate any amount you

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Speaker 1: want to the Pasta than a checkout through December fourth.

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Speaker 1: Shop at any Smart and Final store in California. Arizone

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00:22:06,760 --> 00:22:10,360
Speaker 1: in Nevada donated checkout through December fourth. And of course

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Speaker 1: Tim Conway Junior. Do you know him. He's broadcasting live

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Speaker 1: in Anaheim Whitehouse a restaurant tomorrow six pm to ten pm.

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Speaker 1: Stop by and donate, drop off pasta and sauce and

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Speaker 1: see the Conway team. One hundred percent of your donation

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00:22:22,800 --> 00:22:25,359
Speaker 1: goes to Katerina's Club, so we're excited to be a

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Speaker 1: part of that once again. The big day is tomorrow

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Speaker 1: Row because it John, It's Giving Tuesday. Today is Cyber Monday.

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Speaker 1: Did you buy anything online? Guys? I did it. I

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Speaker 1: opened the box. No, I don't participate in phony internet holidays.

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Speaker 1: Oh well, I did buy something the other day online

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Speaker 1: forgetting the today with Cyber Monday, and it was a

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Speaker 1: final sale item. It hasn't shipped yet. So I went

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Speaker 1: back to that site and I noticed that it said

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Speaker 1: for Cyber Monday you get an extra twenty percent off

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Speaker 1: final sale items. So I call the company and got

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Speaker 1: a little refund. You look at that new leather boots. No,

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Speaker 1: it's it's a it's a yellow top as a matter

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Speaker 1: of fact, yellow top. Yeah, you should see the seal.

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Speaker 1: It's never too late. You should see this yellow coat

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Speaker 1: she's wearing today. It's extremely bright. That's not a winter color.

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Speaker 1: I don't care. It's a it's a very big comfy

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Speaker 1: coat that keeps me warm. It's freezing in this newsroom.

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Speaker 1: And how many animals died for that? None? That wasn't

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Speaker 1: like those aren't feathers for a yellow bird? No? Okay,

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Speaker 1: that's how many yellow animals are there? Is? You? Well,

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Speaker 1: this was long overdue. You probably you're in stories that

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Speaker 1: there's an uprising going on in China. Remember Tianamen Square

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Speaker 1: nineteen eighty nine. People are taken to the streets to

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Speaker 1: protest the uh well, the COVID restrictions. China, of course,

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Speaker 1: believes in zero COVID. I tell people this story that

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Speaker 1: people got locked up in an Ikea. There was actual

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Speaker 1: video of the doors closing, well trying to get out,

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Speaker 1: because how do they That story still cracks me up,

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Speaker 1: because like, what do they test people as they walk

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Speaker 1: down the aisles? We found one close the store. I

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Speaker 1: think they do. I think they'll they'll test people on

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Speaker 1: the way out, looking with an anle swab. Well, that's

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Speaker 1: their that's their preferred method in China. Yeah, because they

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Speaker 1: think it's more accurate and they get they got a

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Speaker 1: lot of they get a lot of people volunteering to work. Well,

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Speaker 1: you've heard that they find virus in the sewers, so

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Speaker 1: it does make sense that you could test that way too. Yeah, well,

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Speaker 1: but we always could down this road. Well, you brought

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Speaker 1: up the anle swab. But it shows you at least

422
00:24:46,720 --> 00:24:50,879
Speaker 1: the Chinese people are protesting and rebelling and they're getting

423
00:24:50,960 --> 00:24:54,119
Speaker 1: violent about it. We just bent over and took it

424
00:24:54,280 --> 00:24:57,399
Speaker 1: here in California. No big places. They're not doing it

425
00:24:57,440 --> 00:24:59,720
Speaker 1: in Beijing or Shanghai, but it looks like in some

426
00:24:59,800 --> 00:25:03,200
Speaker 1: of the other territories of the country. I see they're

427
00:25:03,200 --> 00:25:05,520
Speaker 1: protesting in Hong Kong and Hong Kong or he doesn't

428
00:25:05,560 --> 00:25:09,400
Speaker 1: like Chinese rules. So they were welding people inside their

429
00:25:09,480 --> 00:25:13,440
Speaker 1: apartment buildings. They were, they were, and then one they're

430
00:25:13,440 --> 00:25:15,840
Speaker 1: trying to contain the virus. One of the Barbara Ferrara

431
00:25:15,920 --> 00:25:18,679
Speaker 1: recommended that and one of the buildings caught fire and

432
00:25:18,760 --> 00:25:21,320
Speaker 1: a bunch of people died. Oh is that right? They

433
00:25:21,320 --> 00:25:25,680
Speaker 1: couldn't get apt because they were welded in. Oh, no, oh,

434
00:25:25,720 --> 00:25:28,000
Speaker 1: you're right. The anger of the deaths of ten people

435
00:25:28,000 --> 00:25:32,560
Speaker 1: in a fire in the northwestern city of Umriqui. Some

436
00:25:32,640 --> 00:25:35,400
Speaker 1: have questioned whether firefighters are victims trying to escape were

437
00:25:35,400 --> 00:25:39,440
Speaker 1: blocked by locked doors or other anti virus controls. That's

438
00:25:39,440 --> 00:25:41,600
Speaker 1: how they put it in this story. So there's one

439
00:25:41,720 --> 00:25:48,960
Speaker 1: factory that Apple uses to make it's it's iPhone fourteen, yeah,

440
00:25:49,000 --> 00:25:51,840
Speaker 1: the pro model, and it's a factory owned by a

441
00:25:51,920 --> 00:25:56,240
Speaker 1: big company called Foxcom. So they've shut down that factory

442
00:25:56,520 --> 00:26:00,879
Speaker 1: and now Apple is going to be out six million phones. Wow,

443
00:26:01,000 --> 00:26:03,119
Speaker 1: they're they're, they're they're they're going to be short six

444
00:26:03,160 --> 00:26:08,040
Speaker 1: million over the coming months because the factory has been closed.

445
00:26:08,960 --> 00:26:10,919
Speaker 1: What they do when you test positive in China, they

446
00:26:10,960 --> 00:26:13,040
Speaker 1: lock you down. Some people have been confined to their

447
00:26:13,080 --> 00:26:15,720
Speaker 1: home for up to four months and can't get food

448
00:26:15,720 --> 00:26:19,040
Speaker 1: and medical supplies. Well that you don't think Barbara Ferreare

449
00:26:19,119 --> 00:26:21,480
Speaker 1: wants to do that. You don't think FACCI wants to

450
00:26:21,480 --> 00:26:25,520
Speaker 1: do that. Well, they're they're they're the same ilk They're

451
00:26:25,520 --> 00:26:28,119
Speaker 1: the proof that this doesn't work because China continues to

452
00:26:28,160 --> 00:26:30,320
Speaker 1: get COVID cases even though they've been doing this for

453
00:26:30,359 --> 00:26:32,600
Speaker 1: three years. This is where it started in twenty nineteen.

454
00:26:32,640 --> 00:26:34,920
Speaker 1: Because they're not doing it to stop the virus. They're

455
00:26:35,000 --> 00:26:38,280
Speaker 1: doing it to control people, to remind people who's in

456
00:26:38,359 --> 00:26:41,440
Speaker 1: charge here, who's got the power. When do you think

457
00:26:41,440 --> 00:26:43,919
Speaker 1: they send the tanks out to start squashing people again.

458
00:26:44,600 --> 00:26:46,639
Speaker 1: They're only going to put up with the protests for

459
00:26:46,680 --> 00:26:51,400
Speaker 1: a few minutes now. Tanks. Tanks are coming any day now.

460
00:26:52,520 --> 00:26:57,440
Speaker 1: On the humorous side of this, apparently Chinese bots or

461
00:26:57,560 --> 00:27:01,840
Speaker 1: swamping Twitter with the poe about porn and escort services.

462
00:27:02,280 --> 00:27:06,080
Speaker 1: They're trying to squelsh the spread of news about the protests.

463
00:27:06,320 --> 00:27:08,720
Speaker 1: Isn't that fascinating. Some of the protesters are calling for

464
00:27:08,800 --> 00:27:12,800
Speaker 1: the Chinese president to resign, but searches for many for

465
00:27:12,920 --> 00:27:15,919
Speaker 1: many Chinese cities that have seen mass protests will mostly

466
00:27:15,960 --> 00:27:20,080
Speaker 1: see ads for escorts, slash porn, slash gambling, drowning out

467
00:27:20,160 --> 00:27:24,280
Speaker 1: legitimate search results. That'll distract at least the guys. I

468
00:27:24,720 --> 00:27:27,320
Speaker 1: guess it will. I mean they're out in the streets

469
00:27:27,320 --> 00:27:30,119
Speaker 1: and they're yelling and shaking their fist and they're throwing things,

470
00:27:30,359 --> 00:27:33,960
Speaker 1: and hey, look at this. You can get an escort

471
00:27:33,960 --> 00:27:35,639
Speaker 1: in China. I guess you can. Huh? I mean I

472
00:27:35,720 --> 00:27:37,639
Speaker 1: thought they controlled everything. They'd make sure there wasn't a

473
00:27:37,760 --> 00:27:42,959
Speaker 1: controlled prostitution government owned escorts. Oh, that's right, the government

474
00:27:42,960 --> 00:27:46,920
Speaker 1: takes some of the bureaucrats are pressed to service. Gotta

475
00:27:46,960 --> 00:27:51,040
Speaker 1: take one for the nation. Data analysts suggest that there

476
00:27:51,040 --> 00:27:55,520
Speaker 1: have been a significant uptick in the spam tweets. The

477
00:27:55,640 --> 00:27:58,240
Speaker 1: vast majority, more than ninety five percent, appeared to be

478
00:27:58,280 --> 00:28:01,159
Speaker 1: spam accounts that tweet at a high, steady rate throughout

479
00:28:01,200 --> 00:28:03,760
Speaker 1: the day, suggesting some kind of automations involved. I mean,

480
00:28:03,800 --> 00:28:06,920
Speaker 1: it's fascinating they don't miss a trick. I mean, who

481
00:28:06,920 --> 00:28:09,720
Speaker 1: would have thought of welding people inside their apartments? Right?

482
00:28:10,119 --> 00:28:12,840
Speaker 1: Who would have thought about spamming with with with with

483
00:28:12,920 --> 00:28:17,800
Speaker 1: porn to block out the Twitter feeds. This is a

484
00:28:17,920 --> 00:28:20,399
Speaker 1: vast and far reaching government. They probably have people in

485
00:28:20,440 --> 00:28:22,479
Speaker 1: positions who have to come up with these ideas in

486
00:28:22,520 --> 00:28:25,440
Speaker 1: case the day comes right where we need to enact

487
00:28:25,480 --> 00:28:29,440
Speaker 1: your idea. Right. But you know they did a few

488
00:28:29,480 --> 00:28:33,040
Speaker 1: things like that here in California. I hear in the

489
00:28:33,080 --> 00:28:37,200
Speaker 1: in America. Remember, you couldn't disagree on social media about

490
00:28:37,280 --> 00:28:42,840
Speaker 1: COVID or vaccines or treatments. You'd get stamped as a denier.

491
00:28:43,760 --> 00:28:47,640
Speaker 1: You'd have your your feed blocked. You could be suspended

492
00:28:48,280 --> 00:28:53,760
Speaker 1: for providing disinformation. It wasn't that different here. The spirit

493
00:28:53,840 --> 00:28:56,280
Speaker 1: was the same. May have been less draconian, but it

494
00:28:56,320 --> 00:29:00,560
Speaker 1: was the same idea. A Stanford researcher who said, the

495
00:29:00,600 --> 00:29:02,840
Speaker 1: proof of this maybe this at least one account that

496
00:29:02,920 --> 00:29:06,920
Speaker 1: started seven years ago. It's sent out all of it's

497
00:29:06,960 --> 00:29:09,920
Speaker 1: more than two thousand texts just within the last fifteen hours.

498
00:29:10,280 --> 00:29:12,800
Speaker 1: So it's sort of like the Chinese had their body

499
00:29:12,800 --> 00:29:15,080
Speaker 1: accounts ready, oh yeah, in case, they just put them

500
00:29:15,080 --> 00:29:17,719
Speaker 1: into motion. Because this happened in case of national emergency.

501
00:29:18,240 --> 00:29:21,400
Speaker 1: I mean, what's different between you know, welding the apartment

502
00:29:21,480 --> 00:29:23,920
Speaker 1: shut and pad locking some of the restaurants around here

503
00:29:23,960 --> 00:29:29,680
Speaker 1: that were disobeying. Barbara Ferrer and Shila Cull same idea.

504
00:29:29,880 --> 00:29:31,680
Speaker 1: You don't do what we say. We have guys with

505
00:29:31,760 --> 00:29:34,200
Speaker 1: guns and we'll lock you in or lock you out.

506
00:29:35,360 --> 00:29:40,920
Speaker 1: We'll control your opinions and what you're sending over social media.

507
00:29:41,160 --> 00:29:45,000
Speaker 1: You don't think that. Also, everybody in the media was cowering,

508
00:29:46,000 --> 00:29:51,680
Speaker 1: afraid of being criticized if they did stories on alternative

509
00:29:52,080 --> 00:29:57,040
Speaker 1: opinions on COVID. You know just how unlocked step everyone

510
00:29:57,280 --> 00:29:59,640
Speaker 1: was every step of the way. Well, here. It's a

511
00:29:59,680 --> 00:30:04,080
Speaker 1: shame process. How dare you question the science? Right? Exactly right,

512
00:30:04,160 --> 00:30:07,400
Speaker 1: you're a denier. And then if you imagine if a

513
00:30:07,480 --> 00:30:12,360
Speaker 1: media outlet continued to provide alternate information, eventually advertisers would

514
00:30:12,360 --> 00:30:14,800
Speaker 1: be under pressure. You know, the mobs would come out

515
00:30:14,880 --> 00:30:18,680
Speaker 1: online and pressure the advertisers to withdraw their advertising so

516
00:30:18,720 --> 00:30:25,000
Speaker 1: that the message says stays steady, that everybody agrees. All right,

517
00:30:25,120 --> 00:30:27,680
Speaker 1: Coming up after at three o'clock, we'll dig into this

518
00:30:27,760 --> 00:30:30,800
Speaker 1: horrible story out of Riverside where three people were found

519
00:30:30,880 --> 00:30:34,000
Speaker 1: murdered and the house entered up being set on fire.

520
00:30:34,400 --> 00:30:36,560
Speaker 1: It looks like a man came all the way from

521
00:30:36,640 --> 00:30:40,720
Speaker 1: Virginia to pick up a teenage girl and it got

522
00:30:40,720 --> 00:30:44,160
Speaker 1: pretty ugly. Eventually the police found him and shot him dead.

523
00:30:44,520 --> 00:30:47,840
Speaker 1: Steve Gregory has details. John and Ken KF I am

524
00:30:47,920 --> 00:30:50,560
Speaker 1: six forty live everywhere on the iHeartRadio app. All right,

525
00:30:50,600 --> 00:30:52,400
Speaker 1: we'll be talking to Steve Gregory after the news at

526
00:30:52,440 --> 00:30:55,520
Speaker 1: three o'clock about that horrible story out of Riverside where

527
00:30:55,560 --> 00:30:59,120
Speaker 1: three family members apparently were murdered and they believe it

528
00:30:59,200 --> 00:31:01,360
Speaker 1: was done by a man who used to be a

529
00:31:01,400 --> 00:31:04,920
Speaker 1: police officer. He came all the way to Riverside from

530
00:31:04,920 --> 00:31:07,880
Speaker 1: the state of Virginia looking for a teenage girl that

531
00:31:07,920 --> 00:31:10,920
Speaker 1: he hooked up with online. And they do believe that

532
00:31:11,000 --> 00:31:13,600
Speaker 1: he tricked her into thinking that he was probably more

533
00:31:13,640 --> 00:31:17,600
Speaker 1: her age. His name was twenty eight. Steve Gregory will

534
00:31:17,600 --> 00:31:20,840
Speaker 1: talk about it. They did kill him later in a shootout.

535
00:31:21,080 --> 00:31:24,480
Speaker 1: What the girl apparently is safe. We were just talking

536
00:31:24,560 --> 00:31:31,280
Speaker 1: about the Chinese protests over the ridiculous zero COVID restrictions

537
00:31:31,280 --> 00:31:34,600
Speaker 1: that that country has been implementing for three years now

538
00:31:35,160 --> 00:31:38,280
Speaker 1: since this started, and they continue to do this, they

539
00:31:38,320 --> 00:31:42,400
Speaker 1: take they go to such ridiculous lengths. We joke about

540
00:31:42,400 --> 00:31:44,600
Speaker 1: how La County he probably looks it there as a

541
00:31:44,640 --> 00:31:46,840
Speaker 1: case study. What can we learn from them? Well, because

542
00:31:46,880 --> 00:31:49,480
Speaker 1: do we do. Do you think they really care about

543
00:31:49,520 --> 00:31:53,720
Speaker 1: people getting the flu, because at this point, the COVID

544
00:31:53,800 --> 00:31:56,280
Speaker 1: strains that are out there is basically the flu. Do

545
00:31:56,320 --> 00:31:59,240
Speaker 1: you think they care about that. They're willing to steamroll

546
00:31:59,320 --> 00:32:02,040
Speaker 1: their own people. They don't care about loss of life,

547
00:32:02,720 --> 00:32:05,840
Speaker 1: They care about control. Do you think it's because it

548
00:32:05,920 --> 00:32:08,520
Speaker 1: could hurt production because people have to stay home sick,

549
00:32:08,560 --> 00:32:11,120
Speaker 1: they won't be able to help the economy. Well, shutting

550
00:32:11,200 --> 00:32:15,120
Speaker 1: down the factory entirely is costing six million phones for Apple?

551
00:32:15,320 --> 00:32:18,600
Speaker 1: When does Apple get out of that business with China?

552
00:32:18,680 --> 00:32:22,560
Speaker 1: Because it's deep. All their arguments don't don't make any sense.

553
00:32:22,680 --> 00:32:24,400
Speaker 1: You try to make a phone in this country with

554
00:32:24,440 --> 00:32:27,520
Speaker 1: the union rules and everything else involved or whatever, good luck,

555
00:32:27,640 --> 00:32:30,240
Speaker 1: because you can't cost to ten thousand dollars. You can't.

556
00:32:30,400 --> 00:32:33,320
Speaker 1: You can't hire children for a dollar a day. Oh

557
00:32:33,400 --> 00:32:37,320
Speaker 1: too bad Apple. Did anybody ever look at what you know,

558
00:32:37,360 --> 00:32:40,320
Speaker 1: if you talk about the components, how much it really

559
00:32:40,360 --> 00:32:43,520
Speaker 1: would raw materials cost to make an Apple phone versus

560
00:32:43,520 --> 00:32:45,280
Speaker 1: what they sell them for and what the markup is?

561
00:32:45,320 --> 00:32:48,920
Speaker 1: It's curious about that. Yeah, there's probably some some you know,

562
00:32:48,920 --> 00:32:50,520
Speaker 1: I'm gonna look that up. I'm gonna look that up

563
00:32:50,560 --> 00:32:52,520
Speaker 1: during the news break. Because phones are there's like a

564
00:32:52,560 --> 00:32:54,840
Speaker 1: thousand dollars phones? Aren't they cost too? Well? I mean,

565
00:32:54,840 --> 00:32:56,640
Speaker 1: how much how much do you think the material goes

566
00:32:56,680 --> 00:33:02,840
Speaker 1: into a Nike basketball sneakers? How much markup is there?

567
00:33:03,040 --> 00:33:05,880
Speaker 1: That's a big markup? Yeah, just they cost one hundreds

568
00:33:05,880 --> 00:33:08,720
Speaker 1: of dollars, right, you know, that's ten dollars pair of sneakers.

569
00:33:08,720 --> 00:33:11,280
Speaker 1: That's why way I hear all these righteous a whole

570
00:33:11,320 --> 00:33:15,160
Speaker 1: athletes like Lebron James carrying about carrying on about oppression.

571
00:33:15,280 --> 00:33:19,320
Speaker 1: It's like, will you sit down, you big phony oppression.

572
00:33:19,640 --> 00:33:23,920
Speaker 1: Who's who's making the sneakers that make you millions of

573
00:33:23,960 --> 00:33:28,440
Speaker 1: dollars for your endorsements? You don't have to talk. Now

574
00:33:28,480 --> 00:33:31,120
Speaker 1: that we are almost three years on from this horror

575
00:33:31,160 --> 00:33:35,400
Speaker 1: show of COVID, some people ask people the question were

576
00:33:35,400 --> 00:33:40,120
Speaker 1: you ever infected? Well, according to the latest research, one

577
00:33:40,160 --> 00:33:43,320
Speaker 1: in twenty people in this country have never had COVID.

578
00:33:44,520 --> 00:33:47,560
Speaker 1: I remember reading about a year into the pandemic that

579
00:33:47,600 --> 00:33:50,800
Speaker 1: they thought, eventually, the way it goes, everybody will have

580
00:33:50,880 --> 00:33:55,400
Speaker 1: at least one round of COVID. Well, I mean of

581
00:33:55,400 --> 00:33:57,200
Speaker 1: people in the US have been affected with COVID at

582
00:33:57,280 --> 00:34:00,160
Speaker 1: least once, according to this research Papred of Harvard. How

583
00:34:00,160 --> 00:34:04,920
Speaker 1: would they know that, Well, they extrapolate data. That's they

584
00:34:04,920 --> 00:34:07,880
Speaker 1: can't interview with check on everybody's medical records. So yeah,

585
00:34:08,000 --> 00:34:11,680
Speaker 1: I don't I don't believe that. Well, because because they

586
00:34:12,120 --> 00:34:15,880
Speaker 1: they said, you know, forty fifty percent non binary. What

587
00:34:15,880 --> 00:34:19,400
Speaker 1: do you mean they? Oh, wow, am I being unclear

588
00:34:19,440 --> 00:34:25,200
Speaker 1: with my language? Yeah? What did they say? They said that, um,

589
00:34:25,360 --> 00:34:27,960
Speaker 1: you know, forty fifty percent of people who got it

590
00:34:28,000 --> 00:34:31,080
Speaker 1: had no symptoms, which means you didn't know you had it.

591
00:34:31,960 --> 00:34:33,959
Speaker 1: But if you didn't know you had it, you don't

592
00:34:34,000 --> 00:34:36,279
Speaker 1: know that you have it. There's no record of you

593
00:34:36,320 --> 00:34:39,120
Speaker 1: ever had no record. The answer I give to people

594
00:34:39,320 --> 00:34:42,440
Speaker 1: is the following, I have never tested positive for COVID.

595
00:34:43,000 --> 00:34:46,000
Speaker 1: Do I know that I never had it? Can't say that. No,

596
00:34:46,280 --> 00:34:48,440
Speaker 1: but you don't. Can't say that. But maybe maybe you

597
00:34:48,480 --> 00:34:50,279
Speaker 1: never had I could have had no symptoms. You're right,

598
00:34:50,440 --> 00:34:52,680
Speaker 1: And maybe I never had it and Debora never had it.

599
00:34:52,719 --> 00:34:54,359
Speaker 1: How can the three of us never had anything. It's

600
00:34:54,400 --> 00:34:56,920
Speaker 1: so weird. Yeah, we would be outliers according to this,

601
00:34:57,680 --> 00:34:59,440
Speaker 1: But then you look across the way there you got

602
00:34:59,520 --> 00:35:04,320
Speaker 1: Eric and Ray Ray had it eight times eight eight. Yeah,

603
00:35:04,400 --> 00:35:06,759
Speaker 1: he may be in the record books eight times. Oh well,

604
00:35:08,080 --> 00:35:10,799
Speaker 1: if you go on a cruise, right, and what do

605
00:35:10,800 --> 00:35:12,319
Speaker 1: you think? That's what he did about a year ago,

606
00:35:12,440 --> 00:35:16,160
Speaker 1: wasn't it. Yeah, that was the last round the COVID cruise.

607
00:35:16,520 --> 00:35:18,319
Speaker 1: You get. You got a great price for that, though

608
00:35:19,040 --> 00:35:23,120
Speaker 1: that's true. The percentage of people who have some protection

609
00:35:23,160 --> 00:35:27,719
Speaker 1: from new infection is substantially higher than it was a

610
00:35:27,840 --> 00:35:30,920
Speaker 1: year ago. So that means either by being infected or

611
00:35:30,920 --> 00:35:34,360
Speaker 1: getting some kind of vaccination. That's probably one of the

612
00:35:34,360 --> 00:35:37,920
Speaker 1: reasons we're seeing a zero here despite the Times headlines

613
00:35:37,960 --> 00:35:42,200
Speaker 1: about the triple demic. Oh my god, everything's gonna kill us.

614
00:35:42,239 --> 00:35:44,520
Speaker 1: All right, If nineteen out of twenty people got it,

615
00:35:44,600 --> 00:35:47,399
Speaker 1: let's play their game, all right. I don't believe they would.

616
00:35:47,440 --> 00:35:49,120
Speaker 1: They would know. I don't know what the number is.

617
00:35:49,200 --> 00:35:50,960
Speaker 1: But they don't know what the number is either. But

618
00:35:51,200 --> 00:35:53,960
Speaker 1: you know, Harvard researchers, they need something to do all day,

619
00:35:54,239 --> 00:35:56,680
Speaker 1: and they're getting grant money for this. But if nineteen

620
00:35:56,719 --> 00:35:58,600
Speaker 1: out of twenty people actually got it, what does that

621
00:35:58,719 --> 00:36:02,720
Speaker 1: tell you about the actual mentality rate of COVID extremely

622
00:36:03,680 --> 00:36:06,799
Speaker 1: far lower than everybody was claiming at the time when

623
00:36:06,840 --> 00:36:10,080
Speaker 1: we had the outbreak, which was which was the reason

624
00:36:10,440 --> 00:36:13,040
Speaker 1: for all the lockdowns and all the restrictions we're trying

625
00:36:13,080 --> 00:36:17,440
Speaker 1: to save lives. Well, we haven't had these lockdowns and

626
00:36:17,520 --> 00:36:21,080
Speaker 1: restrictions for quite a while now. And look how many

627
00:36:21,160 --> 00:36:23,680
Speaker 1: people ended up getting it, and look how few people

628
00:36:24,239 --> 00:36:28,000
Speaker 1: relatively died. Right, But they're upset even when one hundred

629
00:36:28,040 --> 00:36:32,880
Speaker 1: people die. So are they upset? Well? I don't know that.

630
00:36:33,080 --> 00:36:36,319
Speaker 1: I mean, there's there's disastrous stories every day. Who gets

631
00:36:36,400 --> 00:36:39,000
Speaker 1: upset about people dying on the other side of the world.

632
00:36:39,120 --> 00:36:42,160
Speaker 1: Who gets upset about people you don't know dying. That's

633
00:36:42,160 --> 00:36:47,520
Speaker 1: such like a that's so phony and pretentious and virtue signaling. Well,

634
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Speaker 1: the help people and the politicians is supposed to care

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00:36:51,080 --> 00:36:53,480
Speaker 1: about people who die because they're elected to care, or

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Speaker 1: do they see it's an opportunity. It's like, Oh, I've

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Speaker 1: got a reason now to implement my policies so I

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Speaker 1: can control all the world. That's really that's what it's about.

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Speaker 1: That little cartoon character you have, I'm controlling the world

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00:37:07,640 --> 00:37:10,560
Speaker 1: was a big bald headed guy behind the switches and dials.

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Speaker 1: I know how the world works. I watched all those cartoons.

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Speaker 1: I remember. When we returned, Steve Gregory will be our

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Speaker 1: guest to talk about a Virginia man who used to

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Speaker 1: be a member of a police force back east, who

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00:37:23,640 --> 00:37:26,680
Speaker 1: came to Riverside County to hook up with a teenage

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Speaker 1: girl and it got ugly. Three members of a Riverside

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00:37:31,320 --> 00:37:34,319
Speaker 1: family were murdered and eventually this man was shot dead

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00:37:34,320 --> 00:37:36,839
Speaker 1: by police. Steve has all the details. John and ken

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Speaker 1: kf I Am six forty Live Everywhere on the iHeart

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Speaker 1: Radio app and Devern Mark Live in the twenty four

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Speaker 1: hour cafeine u isram