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Speaker 1: If I am six forty, you're listening to the John

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

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Speaker 1: can hear us on the radio from one until four,

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Speaker 1: and then after four o'clock the whole show all over

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Speaker 1: again on the iHeart app. John and Ken on Demand

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Speaker 1: is the podcast who relived the Brilliance. Yes, and there's

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Speaker 1: been quite a bit of brilliance already that maybe you

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Speaker 1: missed out on. Oh, listen to make it a John

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Speaker 1: and Ken weekend special. Right, listen to the podcast on

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Speaker 1: the weekend. That's right. Well, you're nude in the hot tub,

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Speaker 1: that's right. John and Ken on Saturday, John and Ken

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Speaker 1: on Sunday. The El Segundo Times.

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Speaker 2: As a columnist, I think we've mentioned a few times

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Speaker 2: Rachel Urannga. This time her assignment was to speak to

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Speaker 2: people who work on the metro system, metro workers and ambassadors,

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Speaker 2: those people about reviving writers, writers.

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Speaker 1: Who have overdosed on opioids.

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Speaker 2: They're not writers, they're just they're vagrant, what we call loiterers.

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Speaker 2: She starts a story with walking along a rail platform,

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Speaker 2: a veteran transit worker spotted a package of the opioid

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Speaker 2: overdose reversing drug Naxalon picked it up and slipped it

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Speaker 2: into his vest. He couldn't imagine that he would use

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Speaker 2: the medicine less than two hours later, but looking back

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Speaker 2: on that evening, it shouldn't have been a surprise. The

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Speaker 2: synthetic opioid fentanyl is killing about four people a day

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Speaker 2: in the county. It's reaches stretch from classrooms to Beverly

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Speaker 2: Hills homes and plague skid row and upended families across

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Speaker 2: the region. This paragraph is a keeper by Rachel Uranga.

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Speaker 2: Inside train stations one of the few free indoor spaces

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Speaker 2: for those living on the margins.

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Speaker 1: That was fantastic living on the margins. So this is

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Speaker 1: the excuse in the explanation.

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Speaker 2: It's one of their few free indoor spaces because they

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Speaker 2: live on the margin.

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Speaker 1: Maybe if they weren't taking fent andyl, they wouldn't be

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Speaker 1: living on the margins. Now they're dying on the margins.

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Speaker 2: Good paramedics rushed past commuters to platforms and train cabs

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Speaker 2: to try to revive drug users who pushed too close

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Speaker 2: to the edge or pasted it. The transit worker saw

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Speaker 2: so many overdoses and began going to a clinic on

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Speaker 2: his way to work to get more doses of narcan.

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Speaker 2: Metro has no clear policy on whether it's workers can

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Speaker 2: administer the drug, he said, but he couldn't bear to

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Speaker 2: watch people die needlessly. In fifteen months, he says he's

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Speaker 2: revived twenty one people. Now this Metro worker is not

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Speaker 2: named because they're not allowed to speak to the media.

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Speaker 1: And he took photographs. Yes, they had timestamped photographs, and

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Speaker 1: they had witnesses, and the Times verified most of the claims.

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Speaker 1: He really has done this. But over once a month

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Speaker 1: he revived somebody was about to die with this narcan.

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Speaker 2: He says here that five months into the year, at

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Speaker 2: least thirty five people have died in the Metro system.

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Speaker 2: The causes of death are still under investigations, but most

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Speaker 2: are probably they're not well. You could say overdoses, but

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Speaker 2: you know, the better word for it really is poisoning,

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Speaker 2: because in many cases people didn't really request fentanyl. They

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Speaker 2: were looking for some other drug like percoset or something,

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Speaker 2: and you got laced with fentyl and killed them. I

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Speaker 2: don't know about the homeless people, but that was the

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Speaker 2: cases we've talked about with many other people who acquire

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Speaker 2: their drugs to social media.

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Speaker 1: So thirty five people, I swear, I really am starting

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Speaker 1: to think that the new plan is just to let

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Speaker 1: them die, that fentanyl overdoses will take care of the

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Speaker 1: homeless mess. I bet you. That's what they joke about

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Speaker 1: in all these nonprofit offices, in all the government offices.

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Speaker 1: It's like, hey, don't sweat it. They'll they're all on fentanyl.

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Speaker 1: They're all going to die in a few months. Yeah,

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Speaker 1: but if they die, that shrinks up their business. That

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Speaker 1: drives up their business, right, didn't you always.

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Speaker 2: Say they have to rely on more and more addicts

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Speaker 2: and people living so they can continue to milk it.

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Speaker 2: They're coming, they're coming by the Buslow's every day here,

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Speaker 2: but clearly they're not They're not trying to help anybody.

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Speaker 2: You have to look at what their execution here. They're

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Speaker 2: not getting people off the streets. People are dying at

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Speaker 2: a more rapid rate, much more rapid rate now than

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Speaker 2: even five years ago. So clearly they don't care. Clearly

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Speaker 2: bother them.

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Speaker 1: Eventually.

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Speaker 2: In the article, and here's where you have the it's

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Speaker 2: not even a debate, but the opposite viewpoint of the

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Speaker 2: John and Ken Show. Ricky Blumenthal is the associate dean

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Speaker 2: for Social Justice.

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Speaker 1: Well, that should tell you something. That's a tech school

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Speaker 1: of medicine at USC. That's that's that's a ridiculous job.

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Speaker 1: That's not a job. That's another one of those fake

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Speaker 1: social justice warrior jobs.

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Speaker 2: He sees the drug use on Metro against the wider

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Speaker 2: backdrop of inequity, where homelessness is growing because rents rise

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Speaker 2: and there's few discreete spaces to use drugs on the streets.

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Speaker 1: That's, well, just go to San Francisco. They all do

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Speaker 1: it up there. That's the traditional prayer that the Times

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Speaker 1: puts into every story. There has to be a pause

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Speaker 1: for the prayer, the prayer against inequity. In some stories

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Speaker 1: it's a prayer against climate change. They stop the news

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Speaker 1: story for a second and they go through the litany

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Speaker 1: of buzzwords and catchphrases. What whatever we're praying for today

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Speaker 1: in our church of the woke.

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Speaker 2: I just whenever I see this, though, my blood boils,

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Speaker 2: because I'm like, what about any shred of self responsibility?

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Speaker 2: Does that ever come up in your thinking that these

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Speaker 2: people have to get their act together in any fashion,

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Speaker 2: and if they can't afford to live in La go

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Speaker 2: somewhere else.

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Speaker 1: You don't end up flopped on a train overdosing on drugs.

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Speaker 1: How can you possibly excuse that by blaming society. This

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Speaker 1: is just unbelievable. It's not society's fault, it's what these

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Speaker 1: people did. There's no such thing as inequity. If you're

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Speaker 1: willing to get up in the morning and go to work,

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Speaker 1: you're not going to be a billionaire. And if you

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Speaker 1: can't make ends meet here, you go somewhere where you can.

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Speaker 1: That's what people do. You are in their right minds,

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Speaker 1: You're in charge of your inequity. They make it sound

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Speaker 1: like this, there's an inequity cloud that hovers over the

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Speaker 1: city and casts a shadow of shame across all of us.

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Speaker 1: That's nonsense. Most of us have whatever money we have

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Speaker 1: because we worked every day, or at the very least,

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Speaker 1: we inherited it from our family because somebody in the

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Speaker 1: family did go to work every day. But other than that,

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Speaker 1: that's the only place you can get money from is

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Speaker 1: either working or somebody in the family's working. You have

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Speaker 1: another way. I know, I know they try, you know,

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Speaker 1: to hand out government money, but nobody gets rich off that, right,

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Speaker 1: So I don't understand what is the second way to

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Speaker 1: get equity in life other than working. Tell me what

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Speaker 1: is it is in what society that people success by

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Speaker 1: not working? When is that a winning plan anywhere at

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Speaker 1: any time in human history. I mean even in the

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Speaker 1: caveman times, the guys who went out and did the

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Speaker 1: work and gathered the food or killed the wild boar,

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Speaker 1: they brought home food for the family, right, or they

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Speaker 1: grew their crops, but it was work. May not have

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Speaker 1: been paid in cash, but they got paid in food

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Speaker 1: and kept their family alive. Or they worked, you know,

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Speaker 1: to build their little huts, whether it was a mud

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Speaker 1: hut or they carved out a cave. Whatever. But I'm

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Speaker 1: saying work in exchange for some kind of reward. There

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Speaker 1: is no other way. So I see these people in

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Speaker 1: these stories and it's like, I'm sorry. If you don't

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Speaker 1: believe that these people have to find a path to work,

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Speaker 1: then you're not a serious person. You're just some woke

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Speaker 1: jerk with a fake job. Well who's who's who's just

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Speaker 1: spilling gas of the atmosphere.

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Speaker 2: And of course she had to find the metro worker,

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Speaker 2: the one that's remained anonymous, who basically his attitude at

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Speaker 2: the beginning was, hey, they did this to themselves. To

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Speaker 2: be honest, I didn't give a bleep. But of course

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Speaker 2: she found the right gem of a story. He'd befriends

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Speaker 2: at twenty one year old struggling with fentyl addiction. He's

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Speaker 2: got a baby coming.

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Speaker 1: Along the way.

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Speaker 2: She got anxious to learn how he can get to rehab.

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Speaker 2: So he befriends him, and of course he dies and

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Speaker 2: it changes his man completely, the metro worker into now

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Speaker 2: wanting to help. She just found the perfect person to interview.

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Speaker 1: It's totally irrelevant because all these people that he helped

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Speaker 1: are going to die, including that guy. Oh and that's

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Speaker 1: a good idea, Right, you're having a baby, So why

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Speaker 1: not continue ingesting fentanel? Yeah, show me the list of successes. Well,

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Speaker 1: he was expressing the desire to get rehab and change

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Speaker 1: his life. Well, expressing desires get you nowhere, you have

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Speaker 1: to go to the rehab clinic. I'm so sick of

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Speaker 1: these stupid phrases. He's expressing a desire. Yeah, but then

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Speaker 1: at the end of the day he took another head

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Speaker 1: of fen and al didn't he So what's expressing a

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Speaker 1: desire to do for you? Nothing? All right?

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Speaker 2: We got more coming up Johnny Ken KFI AM six

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Speaker 2: forty live everywhere.

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Speaker 1: iHeartRadio apps, Stupid Society.

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Speaker 3: You're listening to John and Ken on demand from KFI

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Speaker 3: AM six forty.

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Speaker 1: On the radio from one till four after four, get

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Speaker 1: to that iHeart app John and Ken on Demand the podcast.

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Speaker 2: All right, in one hour, we'll be hearing from you, well,

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Speaker 2: a collection of you. It's the Moistline callers at three twenty.

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Speaker 2: Right before that, we have a chance once again to

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Speaker 2: talk to our good friend char Miller. He's Director of

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Speaker 2: Environmental Analysis a wm kech Professor of Environmental Analysis and

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Speaker 2: History at Pomoter College. It's about the Canadian wildfires and John,

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Speaker 2: what part does climate change play in those fires which

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Speaker 2: have been Gee, that's blaking Canada. Of course many parts

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Speaker 2: of the US with the wildfires smoke.

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Speaker 1: That's the other prayer that you have to put in

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Speaker 1: when you're covering natural disasters. You have to stop after

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Speaker 1: rough five or six paragraphs and insert the climate change prayer,

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Speaker 1: and then you can go back to describing the news.

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Speaker 1: Look a look at this. Try try this over the

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Speaker 1: next few days. Look at all these articles the way

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Speaker 1: you would look at a religious text and think back

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Speaker 1: if you went to church as a kid, or the synagogue, whatever,

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Speaker 1: and how there were at certain points, you know, the

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Speaker 1: U I went to a Catholic church, so the priest

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Speaker 1: would give a sermon. They called it a homily in

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Speaker 1: those days, and you know, there'd be a song or

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Speaker 1: two and then stop, he'd ask everybody to rise and

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Speaker 1: say a prayer. And it would be the same prayer

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Speaker 1: every week at the same point in the mass. And

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Speaker 1: that's what all this reminds me of. At the same

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Speaker 1: point in all these articles, we stop and we recite

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Speaker 1: a prayer. Ode to climate change, ode to diversity and inequity,

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Speaker 1: whatever it is, different categs.

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Speaker 2: Well, we were just talking about a Coluguist and the

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Speaker 2: Elseigundo Times who did a story on metro workers and

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Speaker 2: ambassadors who are reviving all the drug addicts on the

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Speaker 2: trains with narcan. Apparently it's been a rough week for

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Speaker 2: the Elsagundo Times and they're calling it an existential crisis.

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Speaker 2: They laid off seventy four people slash turned out to

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Speaker 2: be seventy three because one person took a voluntary exit,

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Speaker 2: so I didn't count as a layoff. I just thought,

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Speaker 2: so they okay, they assigned their senior entertainment writer interesting

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Speaker 2: by the name of Meg James, to do a story

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Speaker 2: on how their executive editor met with employees, and it

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Speaker 2: was a raw and angry staff who had been stunned

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Speaker 2: by the announcement of these layoffs. This man's name is

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Speaker 2: Kevin Merida. He accepted responsibility for these really difficult decisions,

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Speaker 2: but then he laid it out there for the people.

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Speaker 2: We're bleeding. Apparently, this shoe Shong family's invested tens of

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Speaker 2: millions of dollars in the Elseigundo Times, and each year

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Speaker 2: they keep coming up shorter and shorter on the revenue.

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Speaker 1: D It's a money pit, it's a money suck. Sun

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Speaker 1: Sheng eventually is gonna lose his fortune financing the Los

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Speaker 1: Angeles Times. You can't put out all this garbage. I

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Speaker 1: don't call it news, but it's social it's a social

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Speaker 1: justice warrior blog. I counted this week seven articles on

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Speaker 1: the front page on the website, seven of them about

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Speaker 1: sexuality issues, seven of them. They're trying to make the

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Speaker 1: case here in this story that it's happening to all

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Speaker 1: of newspapers. No, they're all starred for advertising red. Let

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Speaker 1: me tell us the internet is grabbing it all. Remember

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Speaker 1: you said the other day, Well, the La Times is

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Speaker 1: five hundred thousand subscribers. Yeah, you know, you know what.

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Speaker 1: The New York Times has nine point seven million. This

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Speaker 1: was digital subscribers. Digital subscribers. Yeah, no new ors. People

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Speaker 1: don't take the print edition anymore. It's hardly around at all.

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Speaker 1: I can't even find a place to buy it if

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Speaker 1: I wanted to buy it. My point is New York

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Speaker 1: Times has nine point seven million. The LA Times has

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Speaker 1: five hundred thousand. The New York Times is turning a profit.

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Speaker 1: The La Times does not have anyone significant reading the

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Speaker 1: call it the paper. They're not reading the news site.

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Speaker 1: They're simply not there. They don't exist.

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Speaker 2: He said that we've been evaluating the budget since the

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Speaker 2: beginning of the year, trying to create savings, trying to

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Speaker 2: do things to prevent the layoffs, but apparently it wasn't

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Speaker 2: good enough. Now, the most important part of the story,

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Speaker 2: because this is the El Segundo Times, is the breakout.

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Speaker 2: Thirty four white people were laid off, thirty nine people

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Speaker 2: of color, which was nineteen Latinos, eleven Asian Americans, four

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Speaker 2: black people in five employees who said, ah, I'm two

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Speaker 2: of more racists.

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Speaker 1: That may be the most ridiculous line I've ever seen

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Speaker 1: in an alleged news story. A breakout by race and

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Speaker 1: they got laid off? Of who got laid off? Well,

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Speaker 1: because they're committed to newsroom diversity. But they didn't tell

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Speaker 1: us were these people any good at their job? Or

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Speaker 1: did they all stink? Obviously they're not needed. Are they

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Speaker 1: not good at their job? I think that's the only criteria,

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Speaker 1: is you get you get laid off, because actually later

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Speaker 1: on it says, well, they were layoffs based on seniority,

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Speaker 1: because that's the union rule. So I guess in recent

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Speaker 1: years they've added a lot of diversity, except now these

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Speaker 1: people are the first to go, and I wonder, But

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Speaker 1: the thing is they're not making money because they do

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Speaker 1: not write about news that normal people care about. I

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Speaker 1: look at the page. I do this just as a

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Speaker 1: game I play in the morning, and I look, Okay,

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Speaker 1: how many of these articles does the normal person care about?

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Speaker 1: And I got through the whole page. It's like, maybe

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Speaker 1: there's two, and it's it's race, it's diversity, it's sexuality.

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Speaker 1: It's sexuality, it's race, it's diversity, it's climate change, it's

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Speaker 1: the police suck. It's it. This is stuff that in

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Speaker 1: my entire life, none of this stuff I've ever heard

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Speaker 1: a single normal person bring up a friend, relative, acquaintance, dinner, party, conversation,

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Speaker 1: workplace cover. None of this stuff anybody has ever discussed.

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Speaker 1: And yet every day and so they wonder why they

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Speaker 1: have a very tiny circulation. They wonder why that Sun

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Speaker 1: Chiang is losing tens of millions of dollars. You don't

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Speaker 1: print stuff that normal people want to read about. None

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Speaker 1: of this is nos here's the catch twenty two. Because

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Speaker 1: you mentioned the few digital subscribers, and you mentioned that

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Speaker 1: there was sort of a seniority basis to this. Apparently

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Speaker 1: a lot of people in the audience, the employees wanted

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Speaker 1: to know why so much concentrated the layoffs on audience

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Speaker 1: engagement editors and web producers. They're basically saying, you're trying

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Speaker 1: to build the digital audience. But those probably were the younger,

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Speaker 1: less experienced people. And I guess that's the case of

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Speaker 1: LIFO laughed in first out. I don't know what.

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Speaker 2: I don't know why audience engaged to these old hack colonists, reporters.

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Speaker 2: You've been seeing their names for years. They get the seniority,

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Speaker 2: they're going to stay.

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Speaker 1: How many people people want to read the same left

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Speaker 1: wing opinion five different ways every day, the same climate

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Speaker 1: change prayer, the same diversity and equity prayer. How many

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Speaker 1: times are you going to read that? And so much

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Speaker 1: is not covered. I mean, here you have a state

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Speaker 1: where they have blown tens of billions of dollars on

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Speaker 1: the high speed rail train. And ironically, for several years

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Speaker 1: the La Times had somebody covering that, and then he left,

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Speaker 1: and since he left, they have no more articles on it.

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Speaker 1: And that is something that I hear people talk about

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Speaker 1: whenever they want to make a joke about the government,

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Speaker 1: they make a joke about high speed rail. That's like

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Speaker 1: a catchphrase for the government sucks, the government wastes money,

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Speaker 1: The government is made up of a bunch of buffoons.

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Speaker 1: Is high speed rail? It's a punchline. Now, Well, you know,

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Speaker 1: the La Times a real newspaper, Like you know when

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Speaker 1: I was growing up, they'd be running a crusade constantly

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Speaker 1: exposing all the corrupt a holes. They'd have the documents,

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Speaker 1: they'd have the photographs, they'd have the whistleblowers, they'd have

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Speaker 1: the witnesses. They'd be naming names. They'd be showing who's

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Speaker 1: taking money under the table. Nothing, they don't even try,

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Speaker 1: and the billids keep going instead. Oh, please tell me

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Speaker 1: more about people's sexuality, because if there's one thing I'm

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Speaker 1: dying to know, I'm dying to know on Friday night,

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Speaker 1: what are they doing with their private parts? What are

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Speaker 1: they doing it with? That's what I care about.

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Speaker 2: More coming up Johnny Ken KFI AM six forty Live everywhere.

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Speaker 2: iHeartRadio app.

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Speaker 3: You're listening to John and Ken on demand from KFI

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Speaker 3: AM six forty.

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Speaker 1: From the radio one till four after four. iHeart app

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Speaker 1: for the Johnny Ken on demand podcast.

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Speaker 2: I just heard from Ryan from US Speaks. He wants

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Speaker 2: to know we're polling California voters. Will you answer a

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Speaker 2: four question poll? Area code four four to three was

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Speaker 2: his number. I looked it up in the eastern half

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Speaker 2: of the US state of Maryland. Well, they could be

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Speaker 2: a kind of affiliate worker looking to actually pull people,

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Speaker 2: or could be like a scam or something.

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Speaker 1: I get these occasionally. They want to know.

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Speaker 2: Uh, as you said, it's hard to find people now

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Speaker 2: to answer, And he pulled, and I'm not going to answer.

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Speaker 1: Olls are stupid anyway, And what's tricky about it is

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Speaker 1: got like yes, no options.

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Speaker 2: I'm not going to do either. No, I'm just afraid

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Speaker 2: if I click any kind of response.

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Speaker 1: No on LESHA virus and you'll be staring at weird

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Speaker 1: porno for the rest of your life. Is what happened

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Speaker 1: to you? No, I've just heard about it. Oh, this

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Speaker 1: just didn't Karen Bass has COVID last night. Damn it.

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Speaker 1: You were angry yesterday. I want to get you angry.

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Speaker 1: She still has it. She is, she's resting comfortable. Did

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Speaker 1: they give her another test?

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Speaker 2: She is.

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Speaker 1: They should be working remotely. She should be working remotely.

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Speaker 1: That's right. And we'll keep up with all of her tasks. Yeah,

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Speaker 1: very important tasks.

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Speaker 2: Uh. We're going to talk about the mess California is

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Speaker 2: in with with property insurance. Now we have I've mentioned

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Speaker 2: that a couple of the big carriers, A State Farm

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Speaker 2: and All State have decided not to write any new

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Speaker 2: property insurance policies in the state. If you're already with them, okay,

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Speaker 2: I guess you can stay with them as long as

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Speaker 2: you pay your premiums. But they're not taking on new business.

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Speaker 2: What does that mean for people that are shopping for

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Speaker 2: the first time for a homeowner's insurance. Bad news, doesn't it,

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Speaker 2: Because the less you have out there selling the insurance,

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Speaker 2: the higher the prices are going to be. And this

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Speaker 2: story in the Mercury News lays it out that we're

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Speaker 2: starting to approach states like Florida when it comes to

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Speaker 2: the average property insurance or homeowners insurance premiums. So though

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Speaker 2: we're actually supposedly lower than the.

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Speaker 1: US average, Oh, I know firsthand because insurance now for

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Speaker 1: our place up by the lake much more difficult, much

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Speaker 1: more expensive to get. Oh and it should be. Isn't

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Speaker 1: that fire territory? It is? Yeah, no, I mean, you know,

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Speaker 1: and it's annoying because it there's so many companies not

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Speaker 1: writing policies for the area, and then you get the bill.

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Speaker 1: It's like, oh man, but I understand. We're not bad.

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Speaker 1: We're in the middle.

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Speaker 2: We're listed twenty fourth for average homeowners premiums and forty

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Speaker 2: one dollars, but over the last ten years it has

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Speaker 2: risen by twenty eight percent.

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Speaker 1: It's the average.

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Speaker 2: Lard Is by far number one because of the hurricanes,

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Speaker 2: and they followed by Oklahoma, Louisiana, Texas.

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Speaker 1: Those are twister states. Well, the average is very important

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Speaker 1: because the place the places that are fire prone are

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Speaker 1: way way way up. You know, if you're living in

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Speaker 1: the middle of the San Fernando Valley, you're not in

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Speaker 1: danger of having fire ripped through you. Yes, but unfortunately,

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Speaker 1: if they pay out a lot because of fires, they

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Speaker 1: have to somehow make up the money elsewhere or else

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Speaker 1: in the case of State Farm and All State, just

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Speaker 1: not write the new business because they just can't take

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Speaker 1: on anything else because of the risks. Right now, they're

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Speaker 1: going after the people who lived directly in the fire zones,

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Speaker 1: right because even even on the west side, we're in

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Speaker 1: an adjacent fire zone. I mean we're south of Sunset, right,

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Speaker 1: but north of Sunset is the Santa Monica Mountains. And

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Speaker 1: remember a few years ago, I forgot what year was,

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Speaker 1: twenty seventeen, maybe there was a big fire. Remember Mark

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Speaker 1: Thompson got chased out of his house. Now, yeah, well

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Speaker 1: we live below that across Sunset. So if you're a

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Speaker 1: cross Sunset, you're in a cheaper fire zone area, but

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Speaker 1: it's still a premium to get insurance because all you

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Speaker 1: need is one ember coming flying out of the San

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Speaker 1: Bernardino Mountains, crossing Sunset and landing on a regular a

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Speaker 1: house in a regular flat neighborhood, and it could spread

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Speaker 1: easily if the winds are blowing.

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Speaker 2: Well the way this story has written. And of course,

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Speaker 2: California had Prop One oh three pass in nineteen eighty eight.

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Speaker 2: It rolled back rates and required insurers to get state

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Speaker 2: approval for increases. The insurance companies say that's just kept

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Speaker 2: prices too low. They point to state policies that don't

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Speaker 2: allow them to base rates on projected risk, such as

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Speaker 2: potential climate change related catastrophes, and they cannot pass on

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Speaker 2: costs of reinsurance policies. They buy in the global markets

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Speaker 2: to cover their own losses when payouts exceed premiums because

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Speaker 2: apparently back in twenty eighteen, and one expert in the

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Speaker 2: story says, that's when everything changed. Remember the campfire destroyed

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Speaker 2: the town of Paradise and killed I think.

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Speaker 1: Over fifty people.

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Speaker 2: The payouts there were enormous for these insurance companies. California's

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Speaker 2: twenty most destructive wildfires thirteen have happened since twenty seventeen,

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Speaker 2: and that's because so this digs into their reserves. They

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Speaker 2: built up reserves thanks to all the money they collect

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Speaker 2: in your premiums but then with all these payouts twenty

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Speaker 2: seventeen and twenty eighteen, says here wiped out nearly a

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Speaker 2: lot of almost all their profits.

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Speaker 1: And it goes back to the corruption of companies like

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Speaker 1: PG and and so Cal Edison bribing Sacramento politicians. There's

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Speaker 1: no oversight on how they're maintaining their their infrastructure, and

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Speaker 1: then electrical wires fall and they ignite the brush and

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Speaker 1: next thing you know, the town of Paradise is gone.

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Speaker 1: And that was hundreds and hundreds of homes and eighty

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Speaker 1: five people died, and every one of those homes and

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Speaker 1: every one of those lives. You know, that was a

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Speaker 1: multimillion dollar lawsuit, and that's because PG and E was

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Speaker 1: run by a bunch of greedy, disgusting, bastard executives. Many

432
00:23:36,960 --> 00:23:43,240
Speaker 1: of them quit and had multimillion dollar parachutes. So they're

433
00:23:43,240 --> 00:23:46,679
Speaker 1: living well still. And you had all this tragedy up

434
00:23:46,720 --> 00:23:49,000
Speaker 1: in Paradise. Now the rest of the state has to

435
00:23:49,000 --> 00:23:52,320
Speaker 1: pay for it, and insurance increases or we go without insurance.

436
00:23:53,760 --> 00:23:56,360
Speaker 1: Now that's what some people apparently have to do.

437
00:23:57,680 --> 00:24:00,400
Speaker 2: It says in the story that this is affecting every

438
00:24:00,440 --> 00:24:02,360
Speaker 2: not just people who live in the high risk areas

439
00:24:02,359 --> 00:24:05,720
Speaker 2: that rates are going up for everybody, And and I

440
00:24:05,800 --> 00:24:08,560
Speaker 2: just got my new homeowners and I was like, I

441
00:24:08,600 --> 00:24:09,960
Speaker 2: stared at it for a moment. I'm like, oh, that's

442
00:24:09,960 --> 00:24:11,320
Speaker 2: a pretty big increase from last year.

443
00:24:11,600 --> 00:24:14,159
Speaker 1: And now you want a suggestion, maybe the son sheongs

444
00:24:14,160 --> 00:24:17,120
Speaker 1: want a suggestion. Why don't you do an extensive series

445
00:24:17,160 --> 00:24:21,280
Speaker 1: on the corruption between the energy companies and the politicians

446
00:24:21,520 --> 00:24:24,560
Speaker 1: which now led to this insurance crisis. Instead of running

447
00:24:24,560 --> 00:24:28,159
Speaker 1: your climate change prayer every time there's there's a wildfire,

448
00:24:28,520 --> 00:24:31,560
Speaker 1: why don't you, you know, bring us informative news so

449
00:24:31,600 --> 00:24:35,639
Speaker 1: you know who to blame for ridiculous insurance bills. All right,

450
00:24:35,640 --> 00:24:36,520
Speaker 1: we got more coming up.

451
00:24:36,560 --> 00:24:39,119
Speaker 2: It's the John and Ken Show k IF I AM

452
00:24:39,200 --> 00:24:41,960
Speaker 2: six forty Live everywhere iHeartRadio app.

453
00:24:42,800 --> 00:24:46,120
Speaker 3: You're listening to John and Ken on demand from KFI

454
00:24:46,359 --> 00:24:47,600
Speaker 3: AM six forty.

455
00:24:51,040 --> 00:24:55,080
Speaker 1: I am six forty Live everywhere on the iHeartRadio app. Yeah.

456
00:24:55,160 --> 00:24:57,919
Speaker 2: Well, we'll be talking about the Canadian wildfires coming up

457
00:24:57,960 --> 00:25:01,520
Speaker 2: after the news at three o'clock. And in climate change,

458
00:25:01,520 --> 00:25:04,960
Speaker 2: your bad forest management sounds familiar at the same debate

459
00:25:05,000 --> 00:25:07,160
Speaker 2: in California a few years back, actually for many years,

460
00:25:07,200 --> 00:25:10,680
Speaker 2: but back in twenty eighteen, and twenty twenty when wildfires

461
00:25:10,680 --> 00:25:14,280
Speaker 2: were raging, it was much the discussion points about what's

462
00:25:14,400 --> 00:25:18,040
Speaker 2: causing them to become more destructive than ever. We'll get

463
00:25:18,040 --> 00:25:19,879
Speaker 2: into this after the news at three o'clock with our

464
00:25:19,880 --> 00:25:23,160
Speaker 2: guest shar Miller from Promoter College. That'll be followed by

465
00:25:23,440 --> 00:25:26,520
Speaker 2: the moistline Round one, and then later in the hour

466
00:25:26,600 --> 00:25:28,359
Speaker 2: round two, and we got a hack for the dumpster

467
00:25:28,480 --> 00:25:30,120
Speaker 2: in between there.

468
00:25:30,160 --> 00:25:31,040
Speaker 1: I had picked it.

469
00:25:31,200 --> 00:25:33,000
Speaker 2: I'm only going to take a minute on this and

470
00:25:33,119 --> 00:25:37,600
Speaker 2: El Segundo time story, particularly for the earthquake.

471
00:25:37,680 --> 00:25:43,040
Speaker 1: Lady John, you've seen about the Saltan Sea. Yes, you know, well,

472
00:25:43,200 --> 00:25:44,880
Speaker 1: this is the thing. I read it. I read it twice.

473
00:25:44,920 --> 00:25:48,000
Speaker 2: I said, well, it's kind of a nothing burger because

474
00:25:48,000 --> 00:25:49,680
Speaker 2: the headline was tempting.

475
00:25:49,359 --> 00:25:50,879
Speaker 1: But you could still scare gebra with it.

476
00:25:51,680 --> 00:25:53,760
Speaker 2: It was going to make her route for drought because

477
00:25:53,880 --> 00:25:56,520
Speaker 2: the essence of it was basically, when there's more water there,

478
00:25:56,520 --> 00:25:59,200
Speaker 2: particularly a particular lake down there, we tend.

479
00:25:59,119 --> 00:26:01,680
Speaker 1: To have a better shot at the big one, which

480
00:26:01,720 --> 00:26:04,000
Speaker 1: could kill Did you understand the story?

481
00:26:04,320 --> 00:26:06,760
Speaker 2: No, it got very technical, but by the end, one

482
00:26:06,800 --> 00:26:09,119
Speaker 2: of the experts and it just said the takeaway should

483
00:26:09,119 --> 00:26:11,560
Speaker 2: not be here if the if the if the if

484
00:26:11,600 --> 00:26:14,080
Speaker 2: the if the lake is full, that we're gonna have

485
00:26:14,160 --> 00:26:14,720
Speaker 2: the big one.

486
00:26:14,800 --> 00:26:16,480
Speaker 1: That's not the takeaway. And I'm like, well, then what

487
00:26:16,560 --> 00:26:16,760
Speaker 1: was the.

488
00:26:16,680 --> 00:26:19,359
Speaker 4: Point of, well, let's just drain the lake halfway so

489
00:26:19,400 --> 00:26:20,760
Speaker 4: that we lessen our chances.

490
00:26:22,440 --> 00:26:24,600
Speaker 2: He was saying something like it may just delay it,

491
00:26:24,640 --> 00:26:27,280
Speaker 2: but we're gonna have the big one. There's we're gonna

492
00:26:27,280 --> 00:26:27,680
Speaker 2: have it.

493
00:26:27,920 --> 00:26:33,840
Speaker 1: There's apparently a coincidence where they have earthquakes when the

494
00:26:33,920 --> 00:26:37,640
Speaker 1: lake is full, not only this one, but other ancient

495
00:26:37,720 --> 00:26:41,960
Speaker 1: lakes that it disappeared. There seems to be a correlation

496
00:26:42,200 --> 00:26:46,240
Speaker 1: right there, seemed I don't really understand that that's why

497
00:26:46,320 --> 00:26:48,639
Speaker 1: it was that the Is it the weight of the water,

498
00:26:49,680 --> 00:26:53,840
Speaker 1: I don't know. Does it something with the tectonic plates

499
00:26:54,400 --> 00:26:56,879
Speaker 1: or or all the rain that would cause a lake

500
00:26:57,000 --> 00:26:57,720
Speaker 1: to fill up?

501
00:26:58,760 --> 00:27:00,000
Speaker 2: And the one thing I wanted to know when I

502
00:27:00,000 --> 00:27:02,560
Speaker 2: didn't see it, maybe you did. Is it the lake

503
00:27:02,640 --> 00:27:04,240
Speaker 2: full now? Since we had a pretty wet winter?

504
00:27:04,359 --> 00:27:04,719
Speaker 1: Is it? So?

505
00:27:04,800 --> 00:27:07,960
Speaker 2: Should General Mark be scared him? I'm just I'm asking her, Uh,

506
00:27:08,000 --> 00:27:10,720
Speaker 2: you mean the Sultan Sea and that lake that's in

507
00:27:10,800 --> 00:27:13,440
Speaker 2: that story. There's a particular lake that they were referring.

508
00:27:13,160 --> 00:27:20,720
Speaker 1: Lakehilo, whatever, I couldn't. I couldn't find that out. But

509
00:27:21,800 --> 00:27:23,280
Speaker 1: that's why I kind of found the article to be

510
00:27:23,320 --> 00:27:26,520
Speaker 1: a nothing burger, because in the end, it's gonna happen,

511
00:27:26,600 --> 00:27:28,159
Speaker 1: but it could be one hundred years from now.

512
00:27:28,320 --> 00:27:30,040
Speaker 5: Yeah. I don't care about one hundred years from now.

513
00:27:30,040 --> 00:27:32,800
Speaker 4: But seriously, if there is a possibility that we lessen

514
00:27:32,880 --> 00:27:35,040
Speaker 4: the chances of a big earthquake, then I.

515
00:27:35,000 --> 00:27:38,520
Speaker 5: Think forget the lakes. Let's just get rid of all lakes.

516
00:27:39,280 --> 00:27:41,080
Speaker 1: And I think the point is drought may be good.

517
00:27:41,280 --> 00:27:41,840
Speaker 1: You see in that.

518
00:27:42,320 --> 00:27:44,080
Speaker 5: Yes, I'd rather take a big drought.

519
00:27:44,160 --> 00:27:46,280
Speaker 4: Yes, I would rather have a drought than have to

520
00:27:46,280 --> 00:27:47,400
Speaker 4: deal with a big earthquake.

521
00:27:47,960 --> 00:27:52,359
Speaker 1: Let's see. I will say that the subject matter was

522
00:27:52,440 --> 00:27:55,520
Speaker 1: too much for the writer because he wasn't a wrong

523
00:27:55,640 --> 00:27:57,720
Speaker 1: goong linn the second Yeah.

524
00:27:57,560 --> 00:28:00,359
Speaker 2: He was a COVID nineteen guy for three years. They

525
00:28:00,400 --> 00:28:01,560
Speaker 2: got to have another assignment.

526
00:28:01,560 --> 00:28:05,200
Speaker 1: Now, Yeah, so I guess he's the hysteria writer because

527
00:28:05,240 --> 00:28:09,359
Speaker 1: this is supposed to whip up fear of an earthquake

528
00:28:09,480 --> 00:28:13,400
Speaker 1: and also a fear of drought, right, I guess. So, Yeah,

529
00:28:13,480 --> 00:28:16,440
Speaker 1: you're right. It's like a twofer and I'm thinking, well,

530
00:28:16,520 --> 00:28:19,320
Speaker 1: all right, the drought's over. And there isn't anything we

531
00:28:19,359 --> 00:28:21,880
Speaker 1: can do about this stuff. I mean, this is kind

532
00:28:21,880 --> 00:28:24,840
Speaker 1: of interesting if you're taking a college level science class

533
00:28:25,520 --> 00:28:28,920
Speaker 1: about the relationship between and I don't know if there

534
00:28:28,960 --> 00:28:31,320
Speaker 1: is one. I couldn't figure it out because the story

535
00:28:31,359 --> 00:28:32,680
Speaker 1: was so confusing, But it.

536
00:28:32,720 --> 00:28:35,880
Speaker 2: Taps into something a lot of people want, including your

537
00:28:35,920 --> 00:28:38,920
Speaker 2: little news friend. There some sort of a way to

538
00:28:39,120 --> 00:28:41,800
Speaker 2: understand and predict when the big one's.

539
00:28:41,600 --> 00:28:43,240
Speaker 1: Going to hit, Right, so we can do anything to

540
00:28:43,240 --> 00:28:44,920
Speaker 1: do with the water in the lake. All right, But

541
00:28:45,080 --> 00:28:49,600
Speaker 1: here's a quote from Bell Philibogian, a research geologist with

542
00:28:49,640 --> 00:28:53,680
Speaker 1: the US Geological Survey. Well, even if this ancient lake

543
00:28:54,160 --> 00:28:58,000
Speaker 1: Kahuila or the Salt and Sea never existed, these earthquakes

544
00:28:58,000 --> 00:29:02,200
Speaker 1: would still eventually have happened anyway. Okay, they just happened

545
00:29:02,320 --> 00:29:05,080
Speaker 1: a little bit sooner than they otherwise would have. Yeah,

546
00:29:05,080 --> 00:29:07,040
Speaker 1: that's the way to you. Sooner, a little bit sooner

547
00:29:07,240 --> 00:29:10,640
Speaker 1: due to the influence of filling and the emptying of

548
00:29:10,680 --> 00:29:13,240
Speaker 1: the lakes over time. So I guess all that rain

549
00:29:13,440 --> 00:29:16,880
Speaker 1: filling the lake and then the lake evaporates. That puts

550
00:29:16,880 --> 00:29:20,600
Speaker 1: pressure on releaves, pressure on the technonic plates.

551
00:29:20,680 --> 00:29:22,400
Speaker 5: So we're still going to have it. Then it's the

552
00:29:22,400 --> 00:29:23,160
Speaker 5: bottom line.

553
00:29:23,680 --> 00:29:26,680
Speaker 1: She says. Even if the salt and sea drives up completely,

554
00:29:27,000 --> 00:29:32,239
Speaker 1: the next Southern Santa Dres earthquake is still going to happen. Well,

555
00:29:32,360 --> 00:29:33,120
Speaker 1: that's the point of this.

556
00:29:33,360 --> 00:29:34,120
Speaker 5: There is no point.

557
00:29:35,160 --> 00:29:38,080
Speaker 1: That's why I said kind of a nothing burger, but

558
00:29:38,200 --> 00:29:41,720
Speaker 1: onto an animal story for you, Debor Mark, Oh the

559
00:29:41,760 --> 00:29:42,240
Speaker 1: bad one.

560
00:29:42,600 --> 00:29:47,120
Speaker 2: Yeah, well okay, no, she's going to be anti self

561
00:29:47,200 --> 00:29:51,680
Speaker 2: driving cars. Apparently a self driving Google car ran over

562
00:29:51,720 --> 00:29:53,480
Speaker 2: and killed a little dog in San Francisco.

563
00:29:54,680 --> 00:29:56,360
Speaker 1: Yeah, so who do you arrest?

564
00:29:58,040 --> 00:30:02,120
Speaker 2: An online DMV report said the car by Waymo. Previously

565
00:30:02,160 --> 00:30:05,040
Speaker 2: the Google self driving car project, hit a small dog

566
00:30:05,080 --> 00:30:05,800
Speaker 2: which did.

567
00:30:05,640 --> 00:30:08,480
Speaker 5: Not survive, so it didn't detect the dog.

568
00:30:09,480 --> 00:30:12,560
Speaker 2: No, a test driver was present in the driver's seat,

569
00:30:12,560 --> 00:30:16,160
Speaker 2: but the vehicle's automatic driving system was engaged in autonomous

570
00:30:16,200 --> 00:30:18,080
Speaker 2: mode when this happened.

571
00:30:18,120 --> 00:30:19,960
Speaker 1: Well, the test driver is probably watching porn.

572
00:30:20,040 --> 00:30:22,280
Speaker 5: I was gonna say. Couldn't the test driver grab the

573
00:30:22,320 --> 00:30:23,040
Speaker 5: steering wheel?

574
00:30:23,440 --> 00:30:25,680
Speaker 1: Theoretically yes, but they have to be paying attention.

575
00:30:26,760 --> 00:30:30,240
Speaker 5: Okay, you have to pay attention, you see.

576
00:30:30,280 --> 00:30:32,240
Speaker 1: The being a test driver though, it means you're supposed

577
00:30:32,240 --> 00:30:34,960
Speaker 1: to sit there for hours and hours and hours while

578
00:30:34,960 --> 00:30:35,520
Speaker 1: the car is.

579
00:30:35,480 --> 00:30:38,280
Speaker 4: Too supposed to be taking I mean, aren't you supposed

580
00:30:38,280 --> 00:30:39,680
Speaker 4: to be paying attention so that you.

581
00:30:39,600 --> 00:30:43,040
Speaker 1: Can supposed to be Yeah, Like it sounds here like

582
00:30:43,080 --> 00:30:44,640
Speaker 1: the dog may have been off the leash and just

583
00:30:44,760 --> 00:30:47,920
Speaker 1: ran in front of it. So I can't really blame

584
00:30:47,960 --> 00:30:48,320
Speaker 1: I mean.

585
00:30:48,200 --> 00:30:49,560
Speaker 5: At that, I blame the test driver.

586
00:30:50,880 --> 00:30:55,120
Speaker 2: Yes, the system correctly identified the dog, which ran out

587
00:30:55,120 --> 00:30:59,640
Speaker 2: behind a parked vehicle, but could not stop in time. Well,

588
00:30:59,640 --> 00:31:04,840
Speaker 2: he said their condolences to the dog's owner. We had

589
00:31:04,840 --> 00:31:06,680
Speaker 2: that story yesterday, John, did you read it was in

590
00:31:06,680 --> 00:31:08,560
Speaker 2: the pile you even get to it that people are

591
00:31:08,560 --> 00:31:10,479
Speaker 2: saying though these cars are doing weird things, that these

592
00:31:10,480 --> 00:31:11,560
Speaker 2: self driving cars.

593
00:31:11,360 --> 00:31:16,120
Speaker 1: In San Francisco. Oh yeah, they're really wacky. It's another

594
00:31:16,240 --> 00:31:20,200
Speaker 1: over hyped technology, like all this stuff is. You know,

595
00:31:20,280 --> 00:31:21,560
Speaker 1: it's it's they got it.

596
00:31:21,640 --> 00:31:23,400
Speaker 2: Half a shame because I want to take a nap

597
00:31:23,400 --> 00:31:24,880
Speaker 2: in the back seat. Well, the car drives me to

598
00:31:24,920 --> 00:31:27,040
Speaker 2: San Diego, and you're going to run over a whole

599
00:31:27,040 --> 00:31:27,400
Speaker 2: bunch of.

600
00:31:27,320 --> 00:31:29,080
Speaker 4: Dogs and then we're going to be really pissed at you,

601
00:31:29,840 --> 00:31:32,600
Speaker 4: and then there's an earthquake and then we're all dead.

602
00:31:33,000 --> 00:31:37,880
Speaker 1: You know. You know what I read yesterday, there's five

603
00:31:38,240 --> 00:31:41,480
Speaker 1: hundred thousand, half a million feral cats in New York

604
00:31:41,520 --> 00:31:46,600
Speaker 1: City half a million. We're straight cats in the alleys, yeah,

605
00:31:46,720 --> 00:31:51,000
Speaker 1: especially not not so much in Manhattan, but in Brooklyn, Queens, Bronx,

606
00:31:51,320 --> 00:31:54,040
Speaker 1: And they live in the alley ways and in abandoned buildings,

607
00:31:54,520 --> 00:31:59,840
Speaker 1: and they're constantly having sex, constantly multiplying, and and they're

608
00:32:00,040 --> 00:32:02,800
Speaker 1: I'm young because the conditions are terrible and they get

609
00:32:02,840 --> 00:32:05,840
Speaker 1: run over a lot. But it was like a fascinating

610
00:32:05,960 --> 00:32:08,200
Speaker 1: underworld that a lot of people don't know about, because

611
00:32:08,200 --> 00:32:10,080
Speaker 1: they said, if you live in a high rise in Manhattan,

612
00:32:10,120 --> 00:32:12,080
Speaker 1: you don't really know what's going on down below or

613
00:32:12,120 --> 00:32:12,960
Speaker 1: in the other burroughs.

614
00:32:13,000 --> 00:32:15,000
Speaker 2: They got to do like a big Spain program. I

615
00:32:15,080 --> 00:32:17,360
Speaker 2: round up those straight cats and just take out the

616
00:32:17,440 --> 00:32:18,400
Speaker 2: reproductive parts.

617
00:32:19,160 --> 00:32:21,720
Speaker 1: Yeah it's a terrible thing, right, Deborah, Yeah, and.

618
00:32:21,560 --> 00:32:23,640
Speaker 5: Give them lots of love so they can be rehomed.

619
00:32:24,320 --> 00:32:28,320
Speaker 1: Well, that's you know what caused this surge is people

620
00:32:28,400 --> 00:32:32,280
Speaker 1: adopting the pets during the pandemic. And then the pandemic

621
00:32:32,400 --> 00:32:35,120
Speaker 1: was over and it became too much trouble and too

622
00:32:35,200 --> 00:32:36,920
Speaker 1: much money and they let them out.

623
00:32:37,240 --> 00:32:40,080
Speaker 5: Yeah that's awful, I mean God.

624
00:32:40,440 --> 00:32:42,640
Speaker 2: So that's like the worst story I always see when

625
00:32:42,640 --> 00:32:44,240
Speaker 2: somebody lets a dog lose on the freeway.

626
00:32:44,240 --> 00:32:47,680
Speaker 1: Aunt people do that. The cats ran around, had a

627
00:32:47,720 --> 00:32:50,240
Speaker 1: lot of sex. They birth to a lot of litters.

628
00:32:50,400 --> 00:32:52,280
Speaker 5: You keep just you just want to keep saying sex.

629
00:32:52,760 --> 00:32:56,720
Speaker 5: I have a feelings it's cat sex.

630
00:32:57,920 --> 00:32:59,680
Speaker 2: They can do some good though, right they can? They

631
00:32:59,680 --> 00:33:02,600
Speaker 2: can rodents can't think there's new track rats and stuff,

632
00:33:02,640 --> 00:33:04,960
Speaker 2: And wouldn't that help New York with the rat problem?

633
00:33:05,440 --> 00:33:08,120
Speaker 1: Cats around? Yeah? You know what in the story it

634
00:33:08,200 --> 00:33:13,360
Speaker 1: said they're actually not that good at killing rats. Oh no,

635
00:33:13,760 --> 00:33:18,240
Speaker 1: I mean rats tend to avoid cat covens like it's

636
00:33:18,240 --> 00:33:20,480
Speaker 1: not their favorite place because they can't do damage. But

637
00:33:20,600 --> 00:33:23,600
Speaker 1: it's just not They don't kill as many rats as

638
00:33:23,640 --> 00:33:26,520
Speaker 1: you'd like them to. Mostly they're having sex.

639
00:33:28,240 --> 00:33:31,160
Speaker 2: Big story this week, of course, is the wildfires that

640
00:33:31,200 --> 00:33:34,840
Speaker 2: have affected Canada, many burning out of control and what

641
00:33:34,960 --> 00:33:37,440
Speaker 2: has happened with the winds. There's a lot of people

642
00:33:37,440 --> 00:33:40,520
Speaker 2: in the Northwest, the Northeast, and the upper Midwest have

643
00:33:40,640 --> 00:33:43,720
Speaker 2: gotten terrible wildfire smoke. Now some of it's supposed to

644
00:33:43,760 --> 00:33:46,280
Speaker 2: hit the South. We'll talk about that, but we're also

645
00:33:46,320 --> 00:33:50,160
Speaker 2: going to talk about the old argument about the causes

646
00:33:50,200 --> 00:33:53,600
Speaker 2: for these out of control wildfires, climate change, bad forest management.

647
00:33:54,120 --> 00:33:56,760
Speaker 2: Our guest to shar Miller from Promoter College, Johnny Ken

648
00:33:56,840 --> 00:33:59,000
Speaker 2: Show kf I AM six point forty Live Everywhere, the

649
00:33:59,000 --> 00:34:00,120
Speaker 2: iHeartRadio App.

650
00:34:00,000 --> 00:34:03,000
Speaker 1: Debra Mark Live the twenty four Hour Cafe Newsroom. Hey,

651
00:34:03,040 --> 00:34:03,440
Speaker 1: you've been.

652
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Speaker 2: Listening to the John and Ken Show. You can always

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Speaker 2: hear us live on KFI AM six forty one pm

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Speaker 2: to four pm every Monday through Friday, and of course

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Speaker 2: anytime on demand on the iHeartRadio app