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Speaker 1: Welcome everybody. I'm looking at the latest snowpack numbers. Good lord,

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Speaker 1: one hundred and eighty one percent of normal for the

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Speaker 1: date of February twenty seventh, and one hundred and fifty

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Speaker 1: six percent of a full season's average. Boy, is this

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Speaker 1: the worst forecast that they ever made? Oh, the La

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Speaker 1: Nina about four months ago. Yeah, ninety one percent chance

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Speaker 1: that we'd have a dryer than normal winter. I think

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Speaker 1: this may be the worst, just in the scope of it.

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Speaker 1: They missed for so many months by so much. Except remember,

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Speaker 1: is it ten years ago now almost they predicted a

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Speaker 1: massive alninio they did not happen. Then did happen the

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Speaker 1: next year? No? They remember Garcita was out there warning

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Speaker 1: people that's we're gonna need to take cover. There's gonna

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Speaker 1: be so much water. He flood you. He created a

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Speaker 1: whole new and emergency department, right, yeah, right, right, yeah,

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Speaker 1: the emergency office to handle what he thought was going

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Speaker 1: to be a devastating winter of rain, which did not happen. Right,

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Speaker 1: And everybody went to the emergency office and they sat

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Speaker 1: there for three months waiting for a storm they took

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Speaker 1: They didn't arrive for ten years. Yes, and now this

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Speaker 1: year the opposite. They were predicting nothing, continued drought. Whan

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Speaker 1: I keep thinking of, is uh, you know we have

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Speaker 1: the apocalypse desk. Yeah, and I think one of the

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Speaker 1: lines in there is Jerry brand it may not rain

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Speaker 1: for decades, it may not rain for hundreds of years,

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Speaker 1: it may un rate ever again, something like that. And

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Speaker 1: he said, the temperatures we're going to go to one

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Speaker 1: hundred and thirty five degrees oh in the valleys right,

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Speaker 1: and now we can't get out of the forties in

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Speaker 1: burbank here it's it's forty eight and that's the high

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Speaker 1: for the day. You ever remember a high temperature being

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Speaker 1: forty eight? This is and we're only a few degrees

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Speaker 1: off from New York City. This is coast went your

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Speaker 1: weather here. But I'm still going to see a story

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Speaker 1: in about two months from the Elsagunda Times that the

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Speaker 1: climate change is the highest temperature ever for the year

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Speaker 1: or something or the wild Program. Average temperatures for twenty

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Speaker 1: twenty two were record high. Sure, yeah, yeah, wait, there's

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Speaker 1: there's no more drought. There's we have no global warming

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Speaker 1: here in California. It's cold and it's wet, and it's

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Speaker 1: a record record snowfall. It seems up in the mountains.

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Speaker 1: I learned a new meteorological term, snow water equivalent. You

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Speaker 1: ever heard of that one? Snow water equivalent? Oh yeah,

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Speaker 1: Well it's to convert snow into how much water and

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Speaker 1: very good water depth that the snow was liquid. Yeah,

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Speaker 1: and the latest storm increased the state snow water equivalent

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Speaker 1: by around four inches to forty point six forty feet

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Speaker 1: six inches. Well, most of it's going to get washed

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Speaker 1: into the ocean once it starts to melt. I know.

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Speaker 1: I had to explain that to my family because someone's

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Speaker 1: catch all that water. We heard about your drought putout

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Speaker 1: rain barrels, and I said, well the policy although do

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Speaker 1: you see Newsom made a move to give the farmers

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Speaker 1: a little more water and not the salmon. I guess

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Speaker 1: it was announced last week. Uh yeah, no, some of

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Speaker 1: the water farmers. I'm so sick of hearing about the salmon.

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Speaker 1: I really am. Think you go extinct. We got a

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Speaker 1: state has a long history of like a suicide pact.

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Speaker 1: Screwy does screw the salmon? Grow them in those salmon

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Speaker 1: farms that McClintock was talking about the other day. All right, yeah, build, build,

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Speaker 1: a big bathtub or something and grow the salmon. There

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Speaker 1: enough of this the delta smelt, and nobody even eats that.

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Speaker 1: The delta smelt is is flimsy, little two inch fish.

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Speaker 1: And I've seen photos of it, and you wouldn't You

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Speaker 1: don't want it to look at the delta smelt. That's

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Speaker 1: an ugly little fish. It can't possibly do any good

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Speaker 1: to anybody. For anybody, you should have went up to

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Speaker 1: your your mountain house. It looks like people got snowed

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Speaker 1: in up there, like this Lake Arrowhead. Thousands have been

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Speaker 1: snowed in well six feet. I saw one place that

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Speaker 1: ninety three inches of snow was the report. Well, when

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Speaker 1: we're high mountains. On social media, there is a site

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Speaker 1: devoted to the development area we live in, and people

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Speaker 1: were showing that they were trapped in their homes because

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Speaker 1: you open the front door and you've got about four

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Speaker 1: or five feet of snow right in front of you

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Speaker 1: right at the door. I can't and they have to

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Speaker 1: shovel your way through it. The snow was halfway up

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Speaker 1: to their windows. In fact, what did I see last night?

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Speaker 1: On one of the TV newscasts. A couple of families

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Speaker 1: had decided to rent out a place, maybe Airbnb, and

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Speaker 1: they didn't pack in a food because they thought they

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Speaker 1: were gonna go home Sunday, Right, kids got to go

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Speaker 1: to school Monday, and they can't. And so the husbands

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Speaker 1: were sent down to track all the way down the

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Speaker 1: mountain until you get to the grocery store and then

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Speaker 1: all the way back up. Took them five hours. Who

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Speaker 1: they're like settlers, yep, five men have to venture out.

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Speaker 1: That's forage. Yeah, And it's easy to do because depending

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Speaker 1: on how you use a place, you can go up

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Speaker 1: there for a weekend and then maybe you're not back

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Speaker 1: for a month. Right, so you don't buy a lot

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Speaker 1: of food because it's just all gonna go back, you're

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Speaker 1: gonna throw it out out. And you know, who expected

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Speaker 1: something like this And they do a pretty good job

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Speaker 1: clearing the main roads up there, but this this nobody

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Speaker 1: can clear. I made this. No, this happened so quickly,

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Speaker 1: like six feet of snow right in a short period

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Speaker 1: of time. I mean we've been we've been up there

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Speaker 1: since oh five, and I don't ever remember anything close

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Speaker 1: to this, And we've been in snow storms up there,

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Speaker 1: and you know, power's gone out and the whole thing. Right,

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Speaker 1: if you go up there often enough, you'll run into something.

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Speaker 1: But this is just beyond off the charts, beyond. Yeah,

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Speaker 1: I'm seeing that a number of people are stuck in

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Speaker 1: the sand. Pity no mountains because of the heavy snow.

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Speaker 1: They're stuck in their homes. I don't want to hear

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Speaker 1: about any any dope that went hiking though. Uh no, No,

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Speaker 1: I haven't heard anybody gone hiking. No rescue crews for

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Speaker 1: that guy. And they never found that actor that was missing, right,

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Speaker 1: did you see that story months ago? As an actor

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Speaker 1: they wanted went hiking and has not been found springtime

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Speaker 1: Julian Sands. I believe his name was well, you know,

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Speaker 1: I actually remembered him from movies in the eighties. He's

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Speaker 1: a little older now, but I remember of the name

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Speaker 1: and I saw that. It's like they still they found

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Speaker 1: another guy that was out hiking, but they didn't find it.

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Speaker 1: And this is before the storms. You know, you just

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Speaker 1: can't do that in icy, snowy conditions. No, I mean,

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Speaker 1: I've seen, you know, some of the hiking paths and

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Speaker 1: it's really steep, and it's really narrow, and you're right

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Speaker 1: on the edge of a cliff and you have loose

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Speaker 1: rocks and dirt next to you, and there's been if

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Speaker 1: there's been a lot of erosion and a lot of water.

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Speaker 1: You know, you take one step and boom you're down,

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Speaker 1: you know, three thousand feet and you're in a snow

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Speaker 1: bank and uh, you know, eventually the animals will come

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Speaker 1: and take care of the rest of you. That's nice. Well,

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Speaker 1: that's what happens. Yeah, sometimes they find a body like

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Speaker 1: months later. Yeah, probably this happens to walk the same

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Speaker 1: area and there occasion occasionally they find, you know, a

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Speaker 1: group of bones at the at the bottom of a

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Speaker 1: cliff and oh, yeah, that's the guy that fell, you know,

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Speaker 1: back in January. Yeah, after the snow melts, you you

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Speaker 1: find that stuff. Poor fella. It's like, don't do that. Yeah,

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Speaker 1: how much stuff for you? Just just don't do it.

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Speaker 1: And it turns out you're right, you New York, right.

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Speaker 1: You read a couple of weeks ago that there was

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Speaker 1: a feeling that mid February the rainy conditions were going

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Speaker 1: to come back to so Cal and they have obviously

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Speaker 1: from the last week, but now they're thinking it. They

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Speaker 1: linger through March that we may get another rainy month

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Speaker 1: after this, not heavy rain, though nobody's predicting the incredible

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Speaker 1: thing we saw last week. Even days like dish are depressing,

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Speaker 1: just the gloom and the steady, even if it's a

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Speaker 1: lighter rain. It's like, this is the stuff. I left

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Speaker 1: the East Coast for something odd that I do. I

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Speaker 1: do a lot of about things, but I like to

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Speaker 1: see when our weather passes through California with the jet

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Speaker 1: stream and heads east, where does it go? And often

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Speaker 1: you do see a couple of days later the East

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Speaker 1: Coast gets a big snowstorm or Chicago. So I was like,

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Speaker 1: all right, Friday night was at those winds? Those winds

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Speaker 1: were incredible, by the way, I thought everything was going

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Speaker 1: to blow off my house, the dish sat light dish

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Speaker 1: on top or there was really fierce winds. I think

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Speaker 1: it was Friday night. Yeah, So I kept where did

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Speaker 1: they go? And it wasn't until today that I looked

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Speaker 1: at a website and saw, oh my gosh, Kansas, Missouri,

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Speaker 1: Oklahoma had huge tornadoes. That's where the winds went. What

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Speaker 1: do they call them, the directos direccos. Yeah, I don't

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Speaker 1: know how to pronounce it, but it's spelled d e

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Speaker 1: r eccho and it's similar to tornado, except the winds

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Speaker 1: blow straight and flattened things straight ahead rather than swirling

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Speaker 1: right and wrecking the homes. But it causes similar damage

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Speaker 1: to tornadoes in a straight line. Yeah, I heard the

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Speaker 1: usual guy on the news. I forget what stadi was

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Speaker 1: in an, Oklahoma. I've been here a long time. I

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Speaker 1: had never seen wins like this. Charts through here and

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Speaker 1: you have a lot of people, some people living in

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Speaker 1: the mobile homes. Well, right in front of the iHeart

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Speaker 1: entrance here in burbank, two trees are down. Oh three

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Speaker 1: three three, No kidding, I saw it two right they

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Speaker 1: there's a third one behind the second one. They just

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Speaker 1: planted these like two months ago. With the eucalyptus on

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Speaker 1: your property or next door to your property stayed up. Yeah,

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Speaker 1: but that it's leaning. We were looking at it this morning,

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Speaker 1: trying one guy. One guy living behind us. He's got

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Speaker 1: about four of these huge trees, and from what I understand,

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Speaker 1: I haven't talking talk to him directly. He doesn't want

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Speaker 1: to hear about it. And if they go down, it

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Speaker 1: crushes our house or a couple of other neighbors, depending

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Speaker 1: on which way the wind's blown, depending on the damage

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Speaker 1: that could be a legal situation there. It doesn't care,

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Speaker 1: It doesn't care. Yeah, but we got we got two

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Speaker 1: trees down right in the pavilion area in front of

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Speaker 1: the building, right, Oh, I guess. Oh yeah, Eric sent

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Speaker 1: a little movie of the down trees to me. Look

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Speaker 1: at that. Oh yeah, wow, Oh those are big, yow.

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Speaker 1: Didn't work. Yeah, they just planted those like two months ago.

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Speaker 1: Just did a whole new landscaping at the in the

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Speaker 1: like Patty, Oh yeah, yeah, that's probably why they didn't

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Speaker 1: really take too well. Now they have yellow crime scene

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Speaker 1: tape all around the trees they do. That's right. Be careful.

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Speaker 1: The tree has already fallen. It's not going to hit you,

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Speaker 1: but just don't walk into it while it's on the ground.

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Speaker 1: I guess that's what that means. All right, We got

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Speaker 1: more coming up. Oh, guests, who's back in the news.

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Speaker 1: We have an update on mayor former Mayor Yoga Pants,

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Speaker 1: disgraced former Mayor Yoga Pants and his India ambassador nomination.

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Speaker 1: And then this is not earth shattering news because a

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Speaker 1: lot of government agencies have been looking at the origins

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Speaker 1: of COVID. But there's one that issued a report over

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Speaker 1: the weekend saying that at least according to their research,

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Speaker 1: it was probably a lab leak. And this is set

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Speaker 1: off a firestorm, as you might expect in the whole

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Speaker 1: community of this kind of research. Talking about all this stuff.

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Speaker 1: Coming up, John and Ken caf eight M six forty.

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Speaker 1: We're live everywhere the iHeartRadio app. All right, coming up

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Speaker 1: after one thirty. We will go through the report that

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Speaker 1: popped out over the weekend that the US Department of Energy.

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Speaker 1: And of course, the first time I saw that, I said,

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Speaker 1: why would the US Department of Energy be involved in

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Speaker 1: the origins of COVID nineteen while they oversee the laboratories.

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Speaker 1: That's a big part of the story, and some of

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Speaker 1: the laboratories investigate bioweapons research. Yes, that's going on, So

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Speaker 1: they should a report. I love to say, they should

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Speaker 1: a report with like low confidence that COVID nineteen may

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Speaker 1: have leaked from a lab. All right, So there's other

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Speaker 1: agencies that investigated this, but they were agreeing with the FBI.

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Speaker 1: That was their conclusions. We'll get into this and give

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Speaker 1: you all the details. After the news had one thirty.

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Speaker 1: We have a press release that came out on Friday

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Speaker 1: from US Senator Marco Rubio of Florida. Rubio places committee

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Speaker 1: hold on seven Joe Biden nominees and guests. Who is

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Speaker 1: at the top of the seven, Eric Garcetti nominated to

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Speaker 1: serve as US Ambassador to India, whose nomination Rubio has

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Speaker 1: previously voted against. He's with the Senate Committee on Foreign Relations.

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Speaker 1: Garcetti does not take a hint. No, of course, the

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Speaker 1: restatement says, one of these nominees has ignored credible sexual

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Speaker 1: assault accusations in his prior office. That's that's Garcetti. That's Garcetti.

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Speaker 1: He's talking about. Um, how does anybody refute that other

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Speaker 1: than you know, Garcetti's blanket denial of reality. It's exactly

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Speaker 1: what he did. Now, this is this is the Democrat.

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Speaker 1: One of the democrats pet issues has been sexual harassment

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Speaker 1: in the workplace, right, definitely, especially since Me Too, right,

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Speaker 1: the whole meeting, And again, Garcetti's the one that set

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Speaker 1: up a special hotline number for people to report it.

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Speaker 1: That's right. And so during the Me Too era, the

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Speaker 1: targets were Harvey Weinstein on down, and and you saw

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Speaker 1: big names all over the place get their careers destroyed,

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Speaker 1: you know, from and you know it didn't matter it

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Speaker 1: didn't matter if it was straight or gay or what.

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Speaker 1: But you saw Kevin Spacey, you saw Matt Lauer, Charlie Rose, Weinstein,

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Speaker 1: there's some other lesser known but still very major, powerful

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Speaker 1: Hollywood figures, and so why should Garcetti be any different. No,

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Speaker 1: And as usual they like to say, well, it's not

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Speaker 1: just the harasser, but anybody that covers this up. Every

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Speaker 1: anybody in a higher position who refused to deal with

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Speaker 1: the complaints that were right in front of their face

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Speaker 1: should be punished. Silences violence, that's their phrase. And anybody

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Speaker 1: that knows anything about politics knows what happened next. Several

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Speaker 1: and actually many loyalists to Garcetti just shut up and

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Speaker 1: refused to cooperate with what was reality that Rick Jacobs's

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Speaker 1: former top aid was harassing all sorts of employees all

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Speaker 1: over the place office. Just a few brave people went

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Speaker 1: outside the circle and called it like it was. And

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Speaker 1: that's why the senators in Washington, d C. Yeah, so

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Speaker 1: far they're mostly Republican, but there's a couple of Democrats

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Speaker 1: who say, you know, there's probably truth to this, because

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Speaker 1: it's hard to get people to bust out of that

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Speaker 1: circle of trust where we're we're headed for big things

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Speaker 1: with Garcetti. Don't rock the boat and talk about what

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Speaker 1: really happened. Yeah, there's four Democratic senators who will not

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Speaker 1: commit to voting for Garcetti, including the two Arizona senators,

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Speaker 1: Mark Kelly, the former astronaut, and Christian Cinema, although she

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Speaker 1: has switched to independent status, but she's basically Democrat. Yeah,

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Speaker 1: there was a Hawaii senator too that had her doubts.

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Speaker 1: I thought about the nomination. Um, Yeah, that was the

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Speaker 1: list year. Yeah, I think Christian Jellabrand in New York, Right,

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Speaker 1: she was also withholding her vote. And I've seen a

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Speaker 1: couple other names listed. But yeah, I mean he can't.

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Speaker 1: He can't get the fifty one votes he needs. So

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Speaker 1: what does it mean if Rubio puts a hold on it?

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Speaker 1: Does that stay for long? Or a hold means you

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Speaker 1: can't just use a like a unanimous voice vote to

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Speaker 1: move his nomination along. Now, everybody's got to go on

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Speaker 1: the record and vote. Yeah, your day and the Time

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Speaker 1: says they were supposed to take up these nominations tomorrow.

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Speaker 1: Under committee rules, any member can postpone a vote on

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Speaker 1: a nominee until the next committee meeting. That means a

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Speaker 1: vote on Garciti will not take place tomorrow. So I

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Speaker 1: don't know when the next meeting is, but it could

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Speaker 1: be a week later a month. The Senate has an

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Speaker 1: endless number of ways to tie up a nominee or

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Speaker 1: tie up legislation. It is the most difficult, most constipated

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Speaker 1: governing body you'll ever see. And one of him is

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Speaker 1: that a single senator can't put a hold. And not

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Speaker 1: only that, but all the senators like to have that privilege.

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Speaker 1: So unless it's really abusive and egregious, Yeah, senators from

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Speaker 1: another party aren't going to probably do anything to Rubio

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Speaker 1: because they want their shot to do it to a

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Speaker 1: Republican nominee down the road, right, right, So it's like, oh, okay,

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Speaker 1: you don't like car Setting, Oh that's too bad, boy. Yeah,

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Speaker 1: we really like him, but hey whatever, they just they

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Speaker 1: just go along with it. Yeah, and you know what

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Speaker 1: the price is. At the very least, Rubio wants car

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Speaker 1: Sitting to show up in front of the committee and

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Speaker 1: just totally debase himself and admit to everything he saw

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Speaker 1: and then explain why if he saw all this, he

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Speaker 1: didn't do anything about it the first time around. Only

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Speaker 1: one member of the committee, a Democratic Senator from New Hampshire,

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Speaker 1: Jean Shaheen, did ask him about the sexual arrestment allegations.

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Speaker 1: For that recalls she was a soft touch. It was

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Speaker 1: they were usually you honor the president's nominees, especially for

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Speaker 1: low level position, because it's just a formalities. Everybody rubber

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Speaker 1: stamps and goes along and unless there's something egregious, nobody

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Speaker 1: nobody wants to make waves. Again, partly it's because they

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Speaker 1: got other things to do, and partly because when their

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Speaker 1: president is in and making nominations, they don't want the

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Speaker 1: Democrats to pull the same routine. But this Garcetti thing

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Speaker 1: really stands out, and one of the reasons is you

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Speaker 1: had his communications director, a woman name only Selingman, a Democrat,

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Speaker 1: come out and was very public about what was going

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Speaker 1: on in the office and how much Garcetti stuck his

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Speaker 1: head in the dirt. That made all the difference. The

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Speaker 1: termination got through the first committee, but before it got

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Speaker 1: to the Senate floor, she signed up with that whistleblower

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Speaker 1: organization and they made a lot of noise about this,

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Speaker 1: which made its way to a Republican senator's office, Chuck Grassley,

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Speaker 1: and then he opened an investigation into the accusations and

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Speaker 1: they concluded that Garcetti knew or should have known, okay

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Speaker 1: about what Jacobs is doing, so that that's really that

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Speaker 1: was key that she came forward and got that whistleblower

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Speaker 1: group behind her. So there's layers to this. First of all,

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Speaker 1: a lot of tawdry stuff went on that Garcetti knew

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Speaker 1: about and didn't stop. Secondly, you have Democrats uncomfortable with

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Speaker 1: this and a Democratic communications director who's doing a lot

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Speaker 1: of the whistle blowing. And thirdly, if what Nammy Seligmann

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Speaker 1: says is true and all the other witnesses, then you

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Speaker 1: have Garcetti lying to the Senate panel. He committed perjury.

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Speaker 1: Now that's what these senators have to deal with. They

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Speaker 1: have to deal with approving a guy that they know

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Speaker 1: lied to them in the committee hearing. How do you

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Speaker 1: deal with that? He was also under oath in the lawsuit,

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Speaker 1: remember the lawsuit by the story the police officer that

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Speaker 1: was his bodyguard, He was also under oath. He took

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Speaker 1: a deposition and he denied also. So he's lied several

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Speaker 1: times in these legal situations, and not just to talking

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Speaker 1: to the media, and they don't know what else will

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Speaker 1: come out. They don't know if there are other witnesses

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Speaker 1: that have even uglier story. They don't know if there's

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Speaker 1: other victims involving other members of his staff. Because remember

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Speaker 1: there's a lot of crap there was going on Garcidi's

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Speaker 1: office and we have his deputy mayor on trial for

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Speaker 1: corruption going on right now. So yeah, too bad. We

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Speaker 1: couldn't tie him up in that whole developer corruptions candle case.

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Speaker 1: I mean nothing so far. It was a dirty, filthy

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Speaker 1: place in many different ways. Now. The end of the

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Speaker 1: Times update on this says that the former mayor has

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Speaker 1: told people he has a planned trip to Ukraine, although

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Speaker 1: it's unclear why he would head to that country. Gar said.

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Speaker 1: He spokesman declined to comment on the trip. Is he hey,

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Speaker 1: why would he just because everyone else is going? Is

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Speaker 1: he volunteering or says going to be? He wants that ambassadorship. Now,

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Speaker 1: I don't know, why would you go to Ukraine? What

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Speaker 1: are you going to do there? To just get in

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Speaker 1: the news. I have no idea what he would Why?

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Speaker 1: What an ego back? What a colossal ego back? Where

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Speaker 1: can I go to get noticed? Oh? I I'll exploit

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Speaker 1: all the suffering of millions of Ukrainians who are getting

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Speaker 1: bombed to death by the Russians. I'll go there and

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Speaker 1: do what Wait, well, I don't remember anybody asking for

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Speaker 1: you to come. All right, An update came out from

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Speaker 1: the US Department of Energy about COVID nineteen's origins, and

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Speaker 1: they believe more likely than not it did come from

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Speaker 1: a lab league. We'll update you, John and Ken caf

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Speaker 1: I am six forty. We're live everywhere on the iHeart

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Speaker 1: radio app. All right, coming up after two o'clock, we'll

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Speaker 1: talk about the Palestinians, the Palestinians, the people Palestine, Palestine

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Speaker 1: in Ohio, Yes, yeah, East Palestine, Ohio, where of course

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Speaker 1: we had that train derailment with toxic chemicals in the air.

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Speaker 1: We are now getting more substantial reports of ill health

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Speaker 1: effects from the people that live there. Aaron Brokovitch we mentioned,

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Speaker 1: visited there late last week, not buying the bs that

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Speaker 1: it's all clear as far as the air and water

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Speaker 1: is concerned in that community. Will bring in the latest

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Speaker 1: and about thirty minutes on that story. We had a

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Speaker 1: report that popped up over the weekend from the US

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Speaker 1: Department of Energy. They concluded that the COVID pandemic most

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Speaker 1: likely arose from a lab leak. This was a classified

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Speaker 1: intelligence report. Yep, they were undecided previously in an update

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Speaker 1: they gave out in twenty twenty one. Now they joined

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Speaker 1: the FBI with the belief that it's likely the virus

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Speaker 1: spread through a mishap at a Chinese laboratory. Now there

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Speaker 1: are four other agencies along with some national intelligence panel,

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Speaker 1: that think it was natural transmission. And then there were

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Speaker 1: two other agencies that were undecided. So if you're keeping

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Speaker 1: a scoreboard on this, not that it matters. People are

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Speaker 1: believing what they want to believe on this story. Yeah,

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Speaker 1: except there's also truth. It doesn't I have no interest

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Speaker 1: in what wacky people believe. Even I heard doctor Robert

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Speaker 1: Redfield today getting interviewed. Not Redford Redfield, he was the

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Speaker 1: director of the CDC at the time of the outbreak,

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Speaker 1: and he went on publicly early on and said this

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Speaker 1: is likely from that Wuhan lab. And I heard him

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Speaker 1: interview today and he said, you know, I got attacked

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Speaker 1: by my hometown newspaper where I lived with my family

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Speaker 1: and my grandchildren on the front page, repeatedly calling me

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Speaker 1: a racist. And he said, here is why it's likely

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Speaker 1: that the virus went out of the test tube into

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Speaker 1: human beings and spread. He goes, they were trying to

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Speaker 1: claim that this is like the Stars virus and the

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Speaker 1: Mirs virus, which are two older viruses that there were

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Speaker 1: outbreaks almost twenty years ago. And he said there was

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Speaker 1: the missing piece though, was those were animal oriented viruses

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Speaker 1: that did jump to humans, but in a very limited way.

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Speaker 1: I think he said, mers affected less than a thousand people.

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Speaker 1: He said this was different in that it jumped to

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Speaker 1: humans and spread insanely, very quickly. And he said why

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Speaker 1: because in the lab they trained the virus to jaina

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Speaker 1: function right gain of function. They the purpose of the

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Speaker 1: lab was to see if they could enhance the virus

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Speaker 1: and make it spread more easily. Now you could ask

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Speaker 1: yourself why would they do that, Well, the darkest reason

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Speaker 1: is you now have a new biological weapon. The story

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Speaker 1: that researchers give is, well, you know, in the future,

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Speaker 1: in case you get a virus that mutates rapidly, we

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Speaker 1: can get ahead of it and have vaccines ready to

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Speaker 1: deal with it. Or maybe it's both stories. Forever this

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Speaker 1: is coming out of China and it just reminded me

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Speaker 1: and I actually heard somebody play the clip today. The

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Speaker 1: guy who got it right was John Stewart. He said,

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Speaker 1: if you have a a coronavirus John Stewart, the comedian

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Speaker 1: start TV show Comedy Central. Right, but he was a

426
00:24:13,760 --> 00:24:17,680
Speaker 1: guest with Stephen Colbert. Yes, and he went right and

427
00:24:17,800 --> 00:24:19,960
Speaker 1: he said, well, if you have if you have this,

428
00:24:20,200 --> 00:24:25,080
Speaker 1: this this novel coronavirus. And then in Wuhan you have

429
00:24:25,280 --> 00:24:29,000
Speaker 1: the Institute of Novel Coronaviruses. Gee, where do you think

430
00:24:29,040 --> 00:24:30,960
Speaker 1: it came from? And he said, it would be like

431
00:24:31,119 --> 00:24:33,560
Speaker 1: being in Hershey, Pennsylvania. And if there was an outbreak

432
00:24:33,600 --> 00:24:36,159
Speaker 1: of chocolate e goodenliness, well, then where would it be

433
00:24:36,200 --> 00:24:39,400
Speaker 1: coming from. It would be coming from a Hershey would

434
00:24:39,400 --> 00:24:42,760
Speaker 1: be How could you not see that they have never

435
00:24:42,960 --> 00:24:47,000
Speaker 1: found a single animal with this virus anywhere in China.

436
00:24:47,920 --> 00:24:51,600
Speaker 1: And three of the researchers got really sick in November

437
00:24:51,760 --> 00:24:54,160
Speaker 1: twenty nineteen. Yeah, I remember that story. They were taken

438
00:24:54,200 --> 00:24:57,040
Speaker 1: to the hospital. So this is not an outrageous theory.

439
00:24:57,119 --> 00:24:59,600
Speaker 1: But oh my god. You know you go through the

440
00:24:59,680 --> 00:25:02,800
Speaker 1: list to media outlets that called everybody and their brother

441
00:25:03,000 --> 00:25:06,560
Speaker 1: racist if you suggested that it came out of China,

442
00:25:07,440 --> 00:25:09,440
Speaker 1: and why this was I don't know. I don't know

443
00:25:09,600 --> 00:25:12,360
Speaker 1: why all these left wing progressives at such an investment

444
00:25:12,440 --> 00:25:16,080
Speaker 1: in protecting the Chinese Communist Party, because that's what who

445
00:25:16,200 --> 00:25:19,919
Speaker 1: ran the Wuhan Lab, That's who've covered up the investigations.

446
00:25:20,359 --> 00:25:23,600
Speaker 1: That's who largely was financing the research. That's who launched

447
00:25:23,640 --> 00:25:27,080
Speaker 1: a balloon over our country. That's right. And doctor Fauci

448
00:25:27,359 --> 00:25:31,159
Speaker 1: did send funding that zig zagged around and ended up

449
00:25:31,240 --> 00:25:34,720
Speaker 1: in Wuhan. It did, yes, yeah, it got placed there right,

450
00:25:35,400 --> 00:25:37,760
Speaker 1: and part of it was gain a function research, gain

451
00:25:37,800 --> 00:25:40,520
Speaker 1: a function research. So this is not a big mystery.

452
00:25:40,640 --> 00:25:43,760
Speaker 1: It actually makes perfect sense. The whole story lines up

453
00:25:43,800 --> 00:25:47,400
Speaker 1: A to B to C to D to E. Now, yes,

454
00:25:47,720 --> 00:25:51,679
Speaker 1: and because we can't get actual access to the ground

455
00:25:51,840 --> 00:25:55,680
Speaker 1: zero possibility the Wuhan lab, it makes it difficult for

456
00:25:55,760 --> 00:25:58,639
Speaker 1: anybody to say conclusively. Like I said, this Energy Department

457
00:25:58,640 --> 00:26:01,000
Speaker 1: of report came out with what do they call it

458
00:26:01,119 --> 00:26:06,800
Speaker 1: moderate confidence? Low confidence? Yeah, the FBI has moderate confidence,

459
00:26:07,320 --> 00:26:10,840
Speaker 1: But I was saying, what is the purpose of shutting

460
00:26:10,920 --> 00:26:13,800
Speaker 1: down the conversation for moment one? They did this on

461
00:26:13,920 --> 00:26:17,480
Speaker 1: all the social media channels. If you if you wrote

462
00:26:17,560 --> 00:26:22,840
Speaker 1: about the China, Oh what complicated this was? Trump because

463
00:26:23,800 --> 00:26:27,600
Speaker 1: because he came out immediately, you know, with the Kung flu. Yeah,

464
00:26:27,840 --> 00:26:30,920
Speaker 1: and that just all Trump is always a racist. So

465
00:26:31,040 --> 00:26:33,360
Speaker 1: all the media jumped on that and they would never

466
00:26:33,480 --> 00:26:36,600
Speaker 1: accept any lab leak theory because of what he did

467
00:26:36,680 --> 00:26:39,240
Speaker 1: to it, you know, and that's really great, is wrong,

468
00:26:39,359 --> 00:26:42,440
Speaker 1: because that's not science. You can have your fanaticism, it's

469
00:26:42,440 --> 00:26:44,560
Speaker 1: a free country. You can have your phobias about Trump.

470
00:26:44,760 --> 00:26:47,440
Speaker 1: Whatever it is, whatever Trump does to your brain, fine,

471
00:26:47,960 --> 00:26:52,400
Speaker 1: but that's not science and it's not journalism. Now you're

472
00:26:52,440 --> 00:26:54,880
Speaker 1: just a bunch of people in the schoolyard calling each

473
00:26:54,880 --> 00:26:58,280
Speaker 1: other names. You're a bunch of idiots, all right, right,

474
00:26:58,560 --> 00:27:01,000
Speaker 1: And that's what really compli d of the entire world

475
00:27:01,040 --> 00:27:04,119
Speaker 1: the last six years was Trump. Because you know, you

476
00:27:04,160 --> 00:27:06,520
Speaker 1: can talk about the Hunter Biden laptop. It's all these

477
00:27:06,560 --> 00:27:09,480
Speaker 1: stories a squelched. It's just a conspiracy. It's crazy people.

478
00:27:09,560 --> 00:27:13,200
Speaker 1: The Russian dossier and now the lab leak theory. They're

479
00:27:13,240 --> 00:27:16,200
Speaker 1: all just undermined because if they come anywhere from the

480
00:27:16,240 --> 00:27:19,840
Speaker 1: Trump camp or anyone that Trump would support on that issue,

481
00:27:20,080 --> 00:27:23,159
Speaker 1: we have to squelshit. They're either racist or you're just

482
00:27:23,200 --> 00:27:27,639
Speaker 1: a nutty conspirast. Interestingly enough, a spokesperson for the Chinese

483
00:27:27,680 --> 00:27:30,800
Speaker 1: Foreign Ministry piped up today on this report, and I

484
00:27:31,240 --> 00:27:34,160
Speaker 1: have to tell you her name is Mao Ning Mao

485
00:27:34,760 --> 00:27:40,359
Speaker 1: like Chairman Mao. Anyway, this was not a science based

486
00:27:40,440 --> 00:27:45,320
Speaker 1: authoritary of conclusion, and she pointed to the World Health

487
00:27:45,520 --> 00:27:49,760
Speaker 1: Organization slash Chinese study which revealed that it was more

488
00:27:49,840 --> 00:27:53,480
Speaker 1: likely from a natural origin the Chinese to talk about

489
00:27:53,560 --> 00:27:57,760
Speaker 1: that not being credible. The Chinese are the primary funder

490
00:27:57,840 --> 00:28:01,119
Speaker 1: of the World Health Organization, and the World Health Organization

491
00:28:01,440 --> 00:28:05,080
Speaker 1: was forced to cover up what was happening in China

492
00:28:05,760 --> 00:28:10,080
Speaker 1: in the early months. It happened in November, the Lab League,

493
00:28:10,600 --> 00:28:15,440
Speaker 1: we didn't really know about it till January and December

494
00:28:15,520 --> 00:28:18,400
Speaker 1: the story started popping up about some strange flu in China.

495
00:28:18,440 --> 00:28:22,520
Speaker 1: I remember that they never allowed any investigation early on.

496
00:28:23,680 --> 00:28:27,720
Speaker 1: They lie constantly. The Chinese Communist Party is right up

497
00:28:27,760 --> 00:28:31,160
Speaker 1: there with Russia. What they do is they publicly lie

498
00:28:31,200 --> 00:28:33,959
Speaker 1: about everything, especially things that put them in a bad light.

499
00:28:34,440 --> 00:28:37,680
Speaker 1: So if they make a pronouncement, you can assume safely

500
00:28:37,840 --> 00:28:41,880
Speaker 1: that it's probably the opposite, right, And I don't know

501
00:28:41,880 --> 00:28:44,760
Speaker 1: if they were embarrassed. It doesn't seem like there's any

502
00:28:44,800 --> 00:28:48,400
Speaker 1: evidence they did this on purpose, but and certainly it

503
00:28:48,480 --> 00:28:50,760
Speaker 1: blew back on them pretty hard over the three years.

504
00:28:51,080 --> 00:28:55,040
Speaker 1: Oh and by the way, that United Nations World Health

505
00:28:55,160 --> 00:29:00,320
Speaker 1: Organization Chinese report Beijing appointed half the researchers on the mission,

506
00:29:00,560 --> 00:29:03,720
Speaker 1: restricted the team's access to critical data, and block the

507
00:29:03,760 --> 00:29:06,760
Speaker 1: World Help Organization attempts to conduct a phase two study

508
00:29:07,120 --> 00:29:11,240
Speaker 1: that would include a review of Wahan's surroundings. So clearly,

509
00:29:11,520 --> 00:29:14,480
Speaker 1: just reading that paragraph alone tells you the fix was

510
00:29:14,520 --> 00:29:18,360
Speaker 1: in And that's not a credible report. No, and and

511
00:29:18,720 --> 00:29:22,800
Speaker 1: this isn't This is perfectly perfectly aligned with their character.

512
00:29:23,560 --> 00:29:26,200
Speaker 1: It's like they're still claiming that the balloon was a

513
00:29:26,240 --> 00:29:30,640
Speaker 1: weather balloon when we have the spy equipment. Yes, we've

514
00:29:30,640 --> 00:29:33,800
Speaker 1: already announced that we have determined this was spy equipment,

515
00:29:33,840 --> 00:29:36,600
Speaker 1: and they're still claiming it's a weather balloon. I mean,

516
00:29:36,680 --> 00:29:39,080
Speaker 1: and they're comical, But this is what what we're dealing with.

517
00:29:39,200 --> 00:29:41,880
Speaker 1: The question is and Trump may be the entire answer

518
00:29:41,960 --> 00:29:45,000
Speaker 1: to it. But if it isn't Trump, what was the

519
00:29:45,080 --> 00:29:47,880
Speaker 1: obsession of so many people in the media and the

520
00:29:48,400 --> 00:29:52,240
Speaker 1: and the social media companies to squash not just squash

521
00:29:52,280 --> 00:29:57,360
Speaker 1: the information, but try to demonize and smear anybody who

522
00:29:57,520 --> 00:30:01,440
Speaker 1: offered the opposite theory, who said just said, hey, we

523
00:30:01,560 --> 00:30:04,760
Speaker 1: should check in to see if this was a lab

524
00:30:04,880 --> 00:30:08,040
Speaker 1: leak and not an animal. And then you were vilified

525
00:30:08,160 --> 00:30:13,360
Speaker 1: from here to the end of time viciously. Remember at

526
00:30:13,400 --> 00:30:16,920
Speaker 1: the very beginning of this, it was doctor Fauci and

527
00:30:17,000 --> 00:30:19,720
Speaker 1: his cohorts who were trying to put the kai bosh

528
00:30:20,240 --> 00:30:23,280
Speaker 1: on the lab leak theory. They lined up a whole

529
00:30:23,360 --> 00:30:26,520
Speaker 1: bunch of experts to say, oh, not credible, don't go

530
00:30:26,640 --> 00:30:28,640
Speaker 1: in that direction. That was like in the first year

531
00:30:28,760 --> 00:30:32,120
Speaker 1: of the outbreak. I was always suspicious of that. I

532
00:30:32,160 --> 00:30:34,080
Speaker 1: don't really understand why they were so quick to trying

533
00:30:34,120 --> 00:30:38,400
Speaker 1: to do that too, because he knew that his money

534
00:30:38,720 --> 00:30:42,200
Speaker 1: had financed the research. He's a smart guy. Oh, he knew.

535
00:30:42,200 --> 00:30:44,000
Speaker 1: When that came out, the conclusion would be you did

536
00:30:44,080 --> 00:30:46,960
Speaker 1: this with your adding a function research money. And that

537
00:30:47,160 --> 00:30:50,960
Speaker 1: other doctor I think his name is Robert dan Zac. Yeah,

538
00:30:51,720 --> 00:30:56,160
Speaker 1: he got the grant from Fauci his organization, and then

539
00:30:56,320 --> 00:30:59,120
Speaker 1: dan Zac directed the money to Wuhuan. And what did

540
00:30:59,200 --> 00:31:02,080
Speaker 1: dan Zac do if I remember this right, He got

541
00:31:02,360 --> 00:31:06,560
Speaker 1: dozens and dozens of doctors and scientists to sign a

542
00:31:06,720 --> 00:31:09,720
Speaker 1: public petition and they bought ad space in the major

543
00:31:09,800 --> 00:31:14,280
Speaker 1: newspapers saying that it is absolutely wrong that this could

544
00:31:14,280 --> 00:31:17,840
Speaker 1: have come from the lab. Now, why did he do that?

545
00:31:18,040 --> 00:31:20,280
Speaker 1: Why did he step out a guy nobody ever heard of.

546
00:31:20,560 --> 00:31:24,400
Speaker 1: He is suddenly organizing all these other scientists to put

547
00:31:24,480 --> 00:31:28,480
Speaker 1: this ad out and look at that. He got a

548
00:31:28,560 --> 00:31:31,200
Speaker 1: check from Fauci. Oh and the money ended up going

549
00:31:31,280 --> 00:31:37,440
Speaker 1: to Wuhan enhancing this particular virus. All right, we got

550
00:31:37,520 --> 00:31:40,240
Speaker 1: more coming up, John and Ken KF I am six forty.

551
00:31:40,240 --> 00:31:42,800
Speaker 1: We're live everywhere on the iHeart radio app. Probably got

552
00:31:42,840 --> 00:31:45,320
Speaker 1: some good audio to play next hour from old Joe Biden,

553
00:31:45,800 --> 00:31:48,360
Speaker 1: who's doing another one of these network TV interviews with

554
00:31:48,480 --> 00:31:52,400
Speaker 1: David Muir. You called him the underwear model, rightwear, Yes, right,

555
00:31:52,520 --> 00:31:54,040
Speaker 1: So he's getting a little aged now that I have

556
00:31:54,080 --> 00:31:58,240
Speaker 1: you seen him recently. Doesn't look so boyish anymore. Models

557
00:31:58,280 --> 00:32:03,240
Speaker 1: get old, starting to fade. Yeah. Anyway, there's a bad

558
00:32:03,280 --> 00:32:05,560
Speaker 1: inflation report that actually came out a couple of days ago,

559
00:32:05,640 --> 00:32:08,560
Speaker 1: and Biden's blame in the media for the economy. You'll

560
00:32:08,600 --> 00:32:11,120
Speaker 1: hear this and the clip we will play and the

561
00:32:11,200 --> 00:32:15,080
Speaker 1: two o'clock hour will begin though, talking about the people

562
00:32:15,960 --> 00:32:19,480
Speaker 1: in the vicinity of East Palestine, Ohio, who are coming

563
00:32:19,560 --> 00:32:23,120
Speaker 1: down now with real illnesses. There was a train derailment

564
00:32:23,160 --> 00:32:26,120
Speaker 1: a couple of weeks ago which unleased some toxic chemicals

565
00:32:26,200 --> 00:32:30,000
Speaker 1: into the air and the water, and supposedly, now I

566
00:32:30,120 --> 00:32:32,760
Speaker 1: just read over the weekend, the US is sending a

567
00:32:32,880 --> 00:32:37,280
Speaker 1: team there to investigate the claims of people's ill health effects.

568
00:32:37,360 --> 00:32:43,800
Speaker 1: So we'll get into that too in the two o'clock hours.

569
00:32:43,840 --> 00:32:48,000
Speaker 1: Some good news. We were just talking about COVID nineteen

570
00:32:48,560 --> 00:32:53,280
Speaker 1: and the origins of COVID nineteen. We have the latest update,

571
00:32:53,360 --> 00:32:56,160
Speaker 1: John on the flu shot. Did you get this year's

572
00:32:56,160 --> 00:32:59,000
Speaker 1: flu shot? I did? You did? Yes? I did. I

573
00:32:59,120 --> 00:33:03,560
Speaker 1: took one in each arm. I took the latest Oh,

574
00:33:03,640 --> 00:33:05,920
Speaker 1: it's COVID vaccine in one. I did. Yeah, I did

575
00:33:05,960 --> 00:33:07,920
Speaker 1: that together, and then I read a month or two

576
00:33:08,000 --> 00:33:09,920
Speaker 1: later you could get a stroke from that. Oh well,

577
00:33:11,440 --> 00:33:14,720
Speaker 1: then everything comes out months or years later. It's like

578
00:33:14,840 --> 00:33:18,320
Speaker 1: three years later. Oh yeah, COVID came out of that lab. Well,

579
00:33:18,440 --> 00:33:23,880
Speaker 1: you were right. The latest vaccine booster, which is the

580
00:33:23,960 --> 00:33:25,400
Speaker 1: one what did they call it? They had a name

581
00:33:25,480 --> 00:33:28,360
Speaker 1: for it, right, Yes, it would help you with all

582
00:33:28,400 --> 00:33:34,560
Speaker 1: the various bivalance bivalent. Yes that they didn't really test

583
00:33:34,640 --> 00:33:36,200
Speaker 1: it because they wanted to get it out there in

584
00:33:36,240 --> 00:33:38,120
Speaker 1: the market. So they were just going to take real

585
00:33:38,320 --> 00:33:41,480
Speaker 1: data from people who got the shot and then release

586
00:33:41,600 --> 00:33:44,080
Speaker 1: some reports a couple of months later. And the first

587
00:33:44,160 --> 00:33:46,800
Speaker 1: reports were good, they were encouraging that the bivalent shot

588
00:33:46,880 --> 00:33:48,880
Speaker 1: was really doing. And a couple of months later like

589
00:33:49,040 --> 00:33:53,080
Speaker 1: acts like, some people had some strokes and some other problems,

590
00:33:53,640 --> 00:33:55,920
Speaker 1: particularly if you're older and you took both shots at

591
00:33:55,960 --> 00:33:59,840
Speaker 1: the same time, the flu shot and the bivalance shot. Yeah,

592
00:34:00,000 --> 00:34:04,160
Speaker 1: they only had mouse research when they released it. Yeah,

593
00:34:04,200 --> 00:34:06,120
Speaker 1: I don't know that. I feel like a mouse. That

594
00:34:06,520 --> 00:34:10,120
Speaker 1: that makes me confident. No, no, And so this is

595
00:34:10,200 --> 00:34:12,080
Speaker 1: this is the last that's the last shot I take

596
00:34:12,160 --> 00:34:17,400
Speaker 1: without them doing human research. Well, the flu vaccine for

597
00:34:17,600 --> 00:34:21,080
Speaker 1: this winter, because we're now almost in March, get this

598
00:34:21,920 --> 00:34:25,759
Speaker 1: forty five percent effective. Let's give a standing ovation. That's

599
00:34:25,800 --> 00:34:27,879
Speaker 1: a that's a good number for them. Yeah, usually they're

600
00:34:27,880 --> 00:34:32,120
Speaker 1: around thirty percent or less, right, Yeah, so it jumped,

601
00:34:34,080 --> 00:34:38,640
Speaker 1: particularly among children. The flu vaccine seemed to work according

602
00:34:38,680 --> 00:34:43,200
Speaker 1: to the latest research, and they believe that vaccinated children

603
00:34:43,239 --> 00:34:46,120
Speaker 1: were sixty eight percent less likely hospitalized and forty eight

604
00:34:46,160 --> 00:34:49,480
Speaker 1: percent less likely visit an emergency department due to a

605
00:34:49,560 --> 00:34:53,760
Speaker 1: flu or flu related sickness, adults overall forty four percent

606
00:34:53,840 --> 00:34:56,280
Speaker 1: less likely and thirty nine percent less likely to be hospitalized.

607
00:34:56,320 --> 00:35:01,000
Speaker 1: So it looks like because I remember the twin demic,

608
00:35:01,200 --> 00:35:03,200
Speaker 1: what was it, the tridemic, they thought there could be

609
00:35:03,280 --> 00:35:07,520
Speaker 1: three things going because you had the the RSVR infecting

610
00:35:07,600 --> 00:35:10,919
Speaker 1: children and the flu, and now the neuravirus is making

611
00:35:10,920 --> 00:35:14,000
Speaker 1: a sweep through the country and giving people the twenty

612
00:35:14,040 --> 00:35:17,200
Speaker 1: four our stomach flu. Oh no, that's the buffet disease.

613
00:35:17,239 --> 00:35:20,080
Speaker 1: I call it. Yes, Yeah, that's the hottest thing going.

614
00:35:20,360 --> 00:35:22,040
Speaker 1: In fact, if that's the one where you can get

615
00:35:22,080 --> 00:35:25,560
Speaker 1: it by you know, the hands on something that's right touching,

616
00:35:25,960 --> 00:35:28,440
Speaker 1: and you get touched, the runs and the vomits for

617
00:35:28,560 --> 00:35:31,240
Speaker 1: a day. And that's why I call it the buffet disease,

618
00:35:31,239 --> 00:35:33,719
Speaker 1: because everybody's got their hands on the spoons to pull

619
00:35:33,840 --> 00:35:35,640
Speaker 1: the food into their plates, and then you walk right

620
00:35:35,680 --> 00:35:37,799
Speaker 1: up behind him and you grab the same spoon. First

621
00:35:37,840 --> 00:35:40,640
Speaker 1: time I heard about the neuro virus, which is really

622
00:35:40,680 --> 00:35:43,560
Speaker 1: popular on cruise ships because of the buffet. That's it.

623
00:35:43,719 --> 00:35:48,040
Speaker 1: I've never I've never touched another buffet again. Yeah. Also

624
00:35:48,080 --> 00:35:50,560
Speaker 1: because cruise ships, people are just in close quarters everywhere

625
00:35:50,600 --> 00:35:54,680
Speaker 1: they go. There's dance halls, there's clubs, there's and you're

626
00:35:54,719 --> 00:35:56,520
Speaker 1: you're inside a lot of the time. Even go out

627
00:35:56,600 --> 00:35:58,239
Speaker 1: on the deck, but you're inside a lot of the time.

628
00:35:58,480 --> 00:36:02,360
Speaker 1: Friend of mine got that the other day, noravirus, nora virus.

629
00:36:02,360 --> 00:36:05,840
Speaker 1: Well all the symptoms of nora virus. Oh, no, he

630
00:36:06,280 --> 00:36:09,440
Speaker 1: vomited and he pooped. Well I didn't watch, no, but

631
00:36:09,520 --> 00:36:11,040
Speaker 1: I mean he gave you the report. Yeah, he gave

632
00:36:11,080 --> 00:36:13,520
Speaker 1: me the report. Yeah, he had to. He checked many boxes,

633
00:36:13,719 --> 00:36:15,239
Speaker 1: and I told him I sent him an article on

634
00:36:15,320 --> 00:36:18,239
Speaker 1: I say, I think it's this. Is he a buffet person? No,

635
00:36:18,680 --> 00:36:21,720
Speaker 1: it's psyche. You know, you just pick it up wherever

636
00:36:21,760 --> 00:36:24,960
Speaker 1: you pick it up. Spreads faster at buffet's, faster on

637
00:36:25,040 --> 00:36:30,160
Speaker 1: cruise ships. Right. The twenty twenty two twenty three flu

638
00:36:30,280 --> 00:36:35,000
Speaker 1: season actually peaked in November and early December. Positive tests

639
00:36:35,080 --> 00:36:38,920
Speaker 1: hit twenty six percent. Now we're down to just two percent,

640
00:36:40,040 --> 00:36:44,719
Speaker 1: So the flu has really tailed off. And I'm not

641
00:36:44,760 --> 00:36:46,759
Speaker 1: sure sure people even know if they have the flu

642
00:36:46,840 --> 00:36:48,600
Speaker 1: where they had COVID. I mean, they could home test,

643
00:36:48,680 --> 00:36:53,440
Speaker 1: but honestly, yeah, anecdotally, more people I know had something

644
00:36:53,560 --> 00:36:57,520
Speaker 1: this year. There seemed to be a lot of germs

645
00:36:57,600 --> 00:37:02,080
Speaker 1: going around than I can remember. Yeah, And I think

646
00:37:02,160 --> 00:37:04,879
Speaker 1: that's because and it was that basis of what I'm reading,

647
00:37:05,000 --> 00:37:08,399
Speaker 1: people have really let it rip. I think the last

648
00:37:08,480 --> 00:37:11,799
Speaker 1: holdouts about getting together in big groups or doing things

649
00:37:11,840 --> 00:37:14,399
Speaker 1: that they weren't doing the two years previous, or doing

650
00:37:14,480 --> 00:37:18,160
Speaker 1: it this year. You probably already saw. Trip bookings are

651
00:37:18,200 --> 00:37:21,759
Speaker 1: off the charts for this summer, especially to Europe. People

652
00:37:21,760 --> 00:37:24,399
Speaker 1: are very difficult, the flights are very expensive. Everybody wants

653
00:37:24,400 --> 00:37:27,000
Speaker 1: to go now. They finally said, all all the public

654
00:37:27,120 --> 00:37:30,000
Speaker 1: nags should stand down because it makes everyone hate you.

655
00:37:31,760 --> 00:37:34,760
Speaker 1: Now except for the for the for the mental patients,

656
00:37:34,880 --> 00:37:38,000
Speaker 1: nobody wants to hear about any more restrictions, any more

657
00:37:38,080 --> 00:37:41,800
Speaker 1: masking and nothing. Just shut up, go away, because you

658
00:37:41,960 --> 00:37:44,480
Speaker 1: keep doing this. The next big thing that happens, no

659
00:37:44,560 --> 00:37:47,920
Speaker 1: one's gonna believe you. That's right, that's right, because you

660
00:37:48,000 --> 00:37:51,160
Speaker 1: cried wolf for so long and you didn't know when,

661
00:37:51,600 --> 00:37:54,920
Speaker 1: you didn't know when to stop. That's the thing you

662
00:37:55,200 --> 00:37:58,040
Speaker 1: nobody would stop. Everybody was clinging to this state of

663
00:37:58,120 --> 00:38:01,320
Speaker 1: emergency long after the agency was over, years after it

664
00:38:01,440 --> 00:38:06,240
Speaker 1: was over. Right, Yeah, does Barbara Ferrera still do those updates,

665
00:38:06,680 --> 00:38:08,880
Speaker 1: those briefings that Steve Gregor used to go to and

666
00:38:10,280 --> 00:38:13,000
Speaker 1: I don't know he I still get the emails. I

667
00:38:13,080 --> 00:38:14,840
Speaker 1: saw there was one like two weeks ago that she

668
00:38:14,960 --> 00:38:19,080
Speaker 1: was going to do like a live health updated county.

669
00:38:19,200 --> 00:38:22,320
Speaker 1: There's nothing worth covering her unless you're into our cane

670
00:38:23,239 --> 00:38:26,880
Speaker 1: health statistics. I mean, I'm not really interested in the

671
00:38:26,960 --> 00:38:28,960
Speaker 1: number of people getting Look at that county. It just

672
00:38:29,080 --> 00:38:32,400
Speaker 1: came out at one fifty pm public health reports two thousand,

673
00:38:32,480 --> 00:38:35,319
Speaker 1: one hundred and twenty nine new positive cases, thirty four

674
00:38:35,400 --> 00:38:38,120
Speaker 1: new deaths due to COVID nineteen in La County since Saturday.

675
00:38:38,320 --> 00:38:41,560
Speaker 1: And they still issue these reports. Yeah, nobody reads them now.

676
00:38:42,040 --> 00:38:45,560
Speaker 1: They it's the firston I've noticed in weeks. It's if

677
00:38:45,600 --> 00:38:48,040
Speaker 1: you're the first person today to read it. Yeah, somebody

678
00:38:48,120 --> 00:38:51,200
Speaker 1: signed us up for this email, and so I don't

679
00:38:51,239 --> 00:38:53,600
Speaker 1: do it for some reason. But I guess it. Your

680
00:38:53,719 --> 00:38:55,640
Speaker 1: email circulates a John and Kenn email ends up on

681
00:38:55,640 --> 00:38:57,520
Speaker 1: all these mailing lists that I didn't even know who

682
00:38:57,520 --> 00:39:00,279
Speaker 1: half these people are. But I guess they just suck

683
00:39:00,320 --> 00:39:02,399
Speaker 1: up the email addresses, yeah somewhere, Yeah, and they got

684
00:39:02,400 --> 00:39:05,719
Speaker 1: they go out of their way to find media email addresses. Yeah. Yeah,

685
00:39:05,800 --> 00:39:09,680
Speaker 1: that's an intern job. All right when we come back.

686
00:39:09,920 --> 00:39:14,320
Speaker 1: The people of East Palestine, Ohio who were subject to

687
00:39:14,400 --> 00:39:17,640
Speaker 1: that train derailment or starting to report some real ill

688
00:39:17,840 --> 00:39:21,160
Speaker 1: health effects, the government taken a closer look. Old Joe

689
00:39:21,360 --> 00:39:25,200
Speaker 1: Biden says, you know, the economy. Part of the blame

690
00:39:25,239 --> 00:39:28,840
Speaker 1: here is the media. I haven't heard the clip, but

691
00:39:28,920 --> 00:39:31,360
Speaker 1: I'm guessing he thinks the media is just too negative

692
00:39:31,360 --> 00:39:34,080
Speaker 1: about the economy and it's sending the wrong message to

693
00:39:34,160 --> 00:39:36,960
Speaker 1: people for consumer confidence. It'd be my guests, but we'll

694
00:39:36,960 --> 00:39:39,760
Speaker 1: see what's in that audio. Get to all this Johnny

695
00:39:39,840 --> 00:39:42,759
Speaker 1: Ken Show, KFIAM six forty live everywhere, the iHeart Radio

696
00:39:42,800 --> 00:39:45,279
Speaker 1: app and in for Debor Markets. Jason Middleton live in

697
00:39:45,320 --> 00:39:46,680
Speaker 1: the twenty four hour Cafin Newsroom