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Speaker 1: back a bit to yesterday, John Cobuilt, but he wanted

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Speaker 1: to inform me this morning that Larry Storch died because

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Speaker 1: you're the only guy who would remember him. Corporal agarn

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Speaker 1: f Troop. But you know one of those cases again

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Speaker 1: where I thought he'd already passed away, and then when

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Speaker 1: I saw ninety nine, well, no wonder, I thought that

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Speaker 1: he was already what in his forties when the show

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Speaker 1: was on the air in the six Yeah. Uh, here's

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Speaker 1: the part that's amazing, because yesterday there was another This

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Speaker 1: is a quick review of the Google Pool for a moment.

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Speaker 1: There was another big passing, which was James Kahn, who

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Speaker 1: was eighty two. And here's why I mentioned him together.

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Speaker 1: No picks for James Kahn in the twenty twenty two

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Speaker 1: John and King google pool. Ten picks for Larry Storch,

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Speaker 1: ten people. And I think James Kahn had a much

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Speaker 1: much more well known career because I hold you, over

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Speaker 1: the years, people are doing their research, they're checking out

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Speaker 1: the ages, and I think they just realized, even though

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Speaker 1: he's not as remembered as James Kahn, Daddy's ninety nine

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Speaker 1: ninety eight, you know, people gotta adjust. I mean, the

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Speaker 1: life expectancy in this country for a man is seventy eight,

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Speaker 1: So anybody over in seventy eight is in the red

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Speaker 1: zone already. That's true. Just the COVID life expectancy numbers,

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Speaker 1: though shot back pushed those numbers back a little bit.

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Speaker 1: Um Right, if you're if you get COVID, it seems good,

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Speaker 1: good chance it could take you out when you're that old. Yeah,

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Speaker 1: because people that were elderly and just hanging on anyway

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Speaker 1: might have only lived another year. But COVID took him

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Speaker 1: out early, so that that that kind of drags the

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Speaker 1: life expectancy numbers down. So there's a little good pull

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Speaker 1: up date. I met James Conn a couple of times.

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Speaker 1: I didn't know that I actually spent an afternoon a

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Speaker 1: couple of hours with him. Well he well, tell us

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Speaker 1: to sir, I have no idea any big kind of story.

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Speaker 1: But he used to live up the block from where

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Speaker 1: we were, our old house, the old house, the old house.

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Speaker 1: And yes, we had we had friends who lived up

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Speaker 1: the block who had young boys our age. This is

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Speaker 1: when my boys are really young, like four and two,

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Speaker 1: And we'd go over this house and you know, the

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Speaker 1: kids would play and adults would sit around in the

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Speaker 1: living room. Apparently James Conna I don't know which wife

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Speaker 1: he had at the time, but they had a small kid,

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Speaker 1: and he came over to join the play date in

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Speaker 1: the backyard. So James Conn sat on the couch and

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Speaker 1: he was very entertaining. He was, he was passing, he was. Yeah,

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Speaker 1: he told a lot of stories, none of him I remember,

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Speaker 1: but I just remember really enjoying because he was he

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Speaker 1: was just a natural, natural storyteller, and he had a

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Speaker 1: lot of stuff that had gone out in his life. Yeah,

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Speaker 1: you know, I didn't know that much about his personal life,

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Speaker 1: and he didn't really make the tabloids too often, but

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Speaker 1: he I always thought he was probably a powdery keg,

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Speaker 1: only because his roles were always these guys on the edge,

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Speaker 1: tough guys, angry guys. And my wife remembers going over

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Speaker 1: to his house ones for the same kind of play date.

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Speaker 1: And I don't really remember that, or maybe only vaguely,

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Speaker 1: but I do remember specifically being on the couch next

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Speaker 1: to him, brushing with celebrity being a West Sider, look

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Speaker 1: at dad. Yeah, there's somebody downsides to being a west Side,

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Speaker 1: but every once in a while you end up sitting

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Speaker 1: next to somebody interesting. Of course, the big story that

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Speaker 1: occurred the late last night our time was already Friday

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Speaker 1: in Japan, the assassination of the former Prime Minister Shinzo Abbe.

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Speaker 1: And when you hear that, you think of Japan, you

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Speaker 1: don't think of a country with much gun violence. And

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Speaker 1: I wasn't surprised to learn later that the man who

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Speaker 1: did this apparently sort of put together his own gun.

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Speaker 1: I have watched the video too many times. There's actually

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Speaker 1: several scenes because Abbe was campaigning, he loved to be

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Speaker 1: on the stump. Obviously, he hasn't been prime minister since

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Speaker 1: twenty but he campaigns for other people. I think somebody's

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Speaker 1: running for parliament, and apparently he's very happy on the

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Speaker 1: campaign trail, so he often just in this case, he

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Speaker 1: was kind of just standing in the street, like on

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Speaker 1: a sidewalk with a microphone, and you look at the

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Speaker 1: pictures and you can see the gunman behind him standing there,

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Speaker 1: and then you watch the video and it looks like

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Speaker 1: the gunman fired once. There's like a cloud of smoke,

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Speaker 1: and everyone kind of looks back, including Abbe, and then

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Speaker 1: there's more shots and you see him go down. The

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Speaker 1: second one got him. Yeah, I guess I went pretty

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Speaker 1: much through his heart or got him in the back,

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Speaker 1: but I think it just blew through his body because

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Speaker 1: he died fairly quickly after that. Well, yeah, it took

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Speaker 1: five hours. They tried to save his life, but he

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Speaker 1: lost too much blood and said a bullet did pierce

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Speaker 1: his heart. Sixty seven years old, he was the longest

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Speaker 1: serving prime minister in Japanese history, which isn't really that

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Speaker 1: long that he served, but then again, they probably have

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Speaker 1: some turnover like they do in a lot of countries.

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Speaker 1: The guy that killed him was immediately tackled to the ground.

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Speaker 1: Tetsuya Yamagami, and he used to serve in the Japan's Navy,

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Speaker 1: the Maritime Self Defense Force for a few years. But

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Speaker 1: he is talking and allegedly he did this because he

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Speaker 1: thought Abe was connected to an organization he has a

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Speaker 1: grudge against. So they're saying it had nothing to do

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Speaker 1: with the politics of the former prime minister. It was

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Speaker 1: this guy who was apparently angry. We don't they have

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Speaker 1: not named this organization what it is or what it does,

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Speaker 1: whether Abe really was a member of it or well exactly,

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Speaker 1: Actually I don't think he was, but I think I

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Speaker 1: saw that. In other words, you had Japan's version of

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Speaker 1: some whack job conspiracy theorist. You know, they've got their

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Speaker 1: own like qan On belief system, right, so I'm surprised,

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Speaker 1: you know what. So one thing we haven't had with

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Speaker 1: all the turmoil is we haven't had political assassinations. Now

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Speaker 1: they've actually become fairly rare against you know, in the

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Speaker 1: western part of the world, and obviously this is not

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Speaker 1: the Western part of the world, but they were exceedingly

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Speaker 1: rare in Japan, where everybody immediately is writing articles about

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Speaker 1: the fact that they have incredibly strict gun controls. Well,

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Speaker 1: you know, if you're going to go and fashion your

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Speaker 1: own gun, if you're gonna have a homemade gun, and

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Speaker 1: there's nothing you can do about that. You see, he

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Speaker 1: had like duct tape, look like he had wooden blocks

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Speaker 1: and duct tape, and he had constructed like a barrel,

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Speaker 1: and I guess he had gunpowder and who knows how

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Speaker 1: long And they found more of these when they went

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Speaker 1: to his home that this is apparently something he did. Yeah, well,

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Speaker 1: you know online that you can you can buy all

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Speaker 1: the parts. That's the ghost gun phenomena here in this

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Speaker 1: country where you can go online. I watched a guy,

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Speaker 1: he was a reporter, and he did a video to

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Speaker 1: show how quickly you could put a ghost gun together. Now,

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Speaker 1: he edited the video so you couldn't see the details,

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Speaker 1: but he showed how you go to this website and

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Speaker 1: buy this, you go to this website and buy that.

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Speaker 1: And then he had a couple of friends help him,

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Speaker 1: and in eight hours after the deliveries were made, they

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Speaker 1: had a working ghost gun. And you look at that

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Speaker 1: and go, well, I guess there really is no way

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Speaker 1: to stop it, although they want to stop those people

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Speaker 1: from selling that on the internet. They've already got bills

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Speaker 1: in California to do that. Yeah, but it's not going

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Speaker 1: to work. You can't stop anything on the internet. Otherwise

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Speaker 1: we wouldn't have people selling teenage girls or drugs or

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Speaker 1: all the illegal stuff. Yeah. Well. Part of me, though,

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Speaker 1: has the same theory on this that I have about

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Speaker 1: the homeless and about the prisoners, is that the more

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Speaker 1: you let loosened society, the more you're gonna have these

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Speaker 1: kind of tragedies. Now, oh yeah, that's true. Since we

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Speaker 1: have hundreds of millions of guns, we're gonna have more

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Speaker 1: gun violence. Oh yeah, because it's it's the numbers game. Yeah. Yeah,

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Speaker 1: Well that's why that's why it's hopeless to talk about

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Speaker 1: this gun control stuff because it's too late. That would

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Speaker 1: have been a good debate to have maybe back in

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Speaker 1: the seventeen eighties, but now with four hundred million, it's like,

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Speaker 1: all right, you keep on fighting the fight there, good luck.

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Speaker 1: I want to see you go door to door and

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Speaker 1: confiscate the four hundred million guns. So yeah, have at it.

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Speaker 1: Japan is a sizeable country with over one hundred and

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Speaker 1: twenty million people. So here's this The number of people

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Speaker 1: killed by gun violence last year one really one one.

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Speaker 1: The US was a forty five thousand people. Jesus, we

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Speaker 1: have twice the population, but still that's not really a proportionate.

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Speaker 1: But I guess. But they never got I mean, guns

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Speaker 1: were never a popular thing then in Japan. It's not

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Speaker 1: like we're not. They never got to one hundred million.

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Speaker 1: They never got to the point in fact where it

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Speaker 1: was impossible. So yes, that's the problem here in theory.

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Speaker 1: If you started zero and banned guns, then yes, you

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Speaker 1: could end up with a very low number. But we

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Speaker 1: didn't started zero. We're trying to stop gun violence after

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Speaker 1: we hit four hundred million, they believe it or not.

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Speaker 1: According to this article I'm reading, it's NPR fifteen eighty eight,

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Speaker 1: Japan banded civilians from owning swords and firearms fifteen eighty

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Speaker 1: eight ago. Like you said, you got a start earl,

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Speaker 1: they had a four hundred and forty year head start.

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Speaker 1: You know, we're a bunch of dummies. We let people

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Speaker 1: pile up four hundred million guns, and now we're going, yeah,

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Speaker 1: I really got to do something about the guns. Okay.

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Speaker 1: In fact, that's the way to the occasionally have a

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Speaker 1: discussion with somebody who think we already start with them

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Speaker 1: about the guns. They go, we've got four hundred million,

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Speaker 1: What do you want to do? How do you want

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Speaker 1: to start? I mean, I'm open to do it, you know,

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Speaker 1: I'm wide open, But you tell me how you execute

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Speaker 1: that plan. Yeah. Pretty much, civilians can't own guns, and

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Speaker 1: it's really just for a hunting and other uses. It's

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Speaker 1: very I didn't know that only allows license hunters and

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Speaker 1: target shooters to purchase shotguns or air rifles. That is

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Speaker 1: a great trivia fact, though citizens can on handguns. They

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Speaker 1: had guns in fifteen eighty eight and swords they were

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Speaker 1: bigger than a lot of people didn't have any kind

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Speaker 1: of firearms. Yeah, you're gonna kill somebody in an argument,

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Speaker 1: you have to get you get your sword out. Yeah,

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Speaker 1: this year they had one, right, and you're right. The

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Speaker 1: US estimate of guns is anywhere between two hundred and

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Speaker 1: sixty five to threeinty three million guns in this country,

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Speaker 1: so I don't know. In twenty eighteen that were nine

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Speaker 1: reported firearm desks in Japan. That includes accidents and suicides.

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Speaker 1: So that's another stat So all right, why don't we

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Speaker 1: come back first? Thing? It's going to happen is a

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Speaker 1: for the winning keyword every weekday between the nine am

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Speaker 1: hour and the five pm hour. Next Chance to win

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Speaker 1: next hour at three twenty oh We got a lot

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Speaker 1: to come on the show today. They have decided to

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Speaker 1: punish four border patrol officers. Remember the situation in Texas

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Speaker 1: with all the Haitian migrants that had camped underneath the bridge,

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Speaker 1: and it got pretty crazy there, and actually the border

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Speaker 1: patrol agents in order to restore some sort of order,

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Speaker 1: they had to chase down some of the migrants. And

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Speaker 1: then there was a big lie that they used whips. Well,

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Speaker 1: we'll find out and we'll talk about it with Brandon

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Speaker 1: Judd with the Border Patrol Union coming up later on

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Speaker 1: in the show, that they decided they're going to punish

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Speaker 1: the border patrol officers, but they said the whip thing,

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Speaker 1: the whipping thing wasn't true. Of course, I got all

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Speaker 1: the headlines right. But to say face, I think they're

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Speaker 1: still they're gonna They just think they used too much force.

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Speaker 1: But Biden and Kamala Harrish just flat out repeatedly lied

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Speaker 1: and and that's inexcusable for them to lie and destroy

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Speaker 1: the reputations of all these border patrol agents who were

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Speaker 1: just doing what we'd pay them to do. They didn't

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Speaker 1: hurt anybody. There was no evidence that the agents struck

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Speaker 1: any migrant with their reins, no evidence. Now you think

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Speaker 1: Biden would have the good sense not to say anything

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Speaker 1: until the investigation came out, and then if it turned

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Speaker 1: out they did something terrible, then you announced the punishment.

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Speaker 1: It was all the angles of the photos that were deceptive, Yeah,

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Speaker 1: because that's what everybody jumped on. Yeah, and remember deceptive

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Speaker 1: angle photos. Remember during the lockdown, stupid empty head Nussen

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Speaker 1: shut down the Orange County beaches because he saw a

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Speaker 1: photo and he thought people were clustered too closely on

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Speaker 1: the beach in Orange County. And it turned out that

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Speaker 1: was just a weird angle of the camera and they

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Speaker 1: really were mostly spread out. Yeah, it's amazing about this

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Speaker 1: is the guy that took the picture that everybody circulated

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Speaker 1: on Twitter admitted he didn't think that they whipped them

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Speaker 1: with the reins, but he took the picture, and everybody

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Speaker 1: jumped on the pictures at all looks like they're whipping

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Speaker 1: them with the reins. So even he said, no, I

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Speaker 1: didn't see that. I'm just saying I just took the picture.

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Speaker 1: And it was a news story. So five hundred and

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Speaker 1: eleven page report. This happened in September, so it took

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Speaker 1: them ten months to determine. There was no evidence and

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Speaker 1: there was no evidence that anybody was forced to return

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Speaker 1: to Mexico or denied entry into the United States. So

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Speaker 1: they're still going to punish some of the officers. They

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Speaker 1: gonna make something up. When they made up was too

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Speaker 1: much force? Is something generic, right, too much too much

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Speaker 1: force that nobody saw. But what I mean, that's that

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Speaker 1: is just that is inexcusable. That is Biden and at

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Speaker 1: Kamala Harris ought to be on their knees begging forgiveness

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Speaker 1: from these from these border patrol agents. That's that's just

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Speaker 1: beyond speaking of Biden. Maybe we have to listen to

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Speaker 1: this ourselves. There is a Republican strategist who has put

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Speaker 1: a piece of video and audio on Twitter, and it

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Speaker 1: is Biden reading from the teleprompter today, and I'll give

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Speaker 1: you the quote, and this is what he said. It

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Speaker 1: is noteworthy that the percentage of women who registered to

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Speaker 1: vote and cast a ballot is consistently higher than the

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Speaker 1: percentage of men to do so. End of quote, repeat

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Speaker 1: the line. The strategists saw that and said, oh, he's

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Speaker 1: reading the teleprompter instructions along with the quote because he

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Speaker 1: doesn't know when to stop. And they're making the comparison

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Speaker 1: to Ron Burgundy. If people remember those movies with Will Ferrell.

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Speaker 1: That was the thing he used to do. He would

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Speaker 1: just keep reading the teleprompter, including the instructions that are

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Speaker 1: at the end, would sometimes say end or well, we

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Speaker 1: have the clip. We have it a rhetoric already has it.

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Speaker 1: It is noteworthy that the percentage of women who registered

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Speaker 1: to vote and cast a ballot is consistently higher than

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Speaker 1: the percentage of the men who do so. End of quote.

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Speaker 1: Repeat the line, women are not without electoral and or

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Speaker 1: political or maybe precise or political power. Oh that's another

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Speaker 1: saying to you the women American. Did you notice we

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Speaker 1: can stop it there? Did you notice though after the

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Speaker 1: teleprompter had finished because end of quote, repeat the line

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Speaker 1: he kind of bobbled there a little bits. Yeah, isn't

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Speaker 1: sure how to He couldn't repeat the line, so he

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Speaker 1: just said something about women that got all contorted. Play

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Speaker 1: that just the beginning part. Play again. It is noteworthy

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Speaker 1: that the percentage of women who registered to vote and

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Speaker 1: cast a ballot is consistently higher than the percentage of

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Speaker 1: the men who do so. End of quote. Repeat the line,

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Speaker 1: women are not without electoral and or political or maybe

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Speaker 1: precisely not end or or political power. The White House

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Speaker 1: has responded, No, Biden says, let me repeat that line.

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Speaker 1: He doesn't say that we just played it, didn't you

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Speaker 1: say at the line, yeah, you played again again? Power.

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Speaker 1: It is noteworthy that the percentage of women who registered

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Speaker 1: the vote and cast a ballot is consistently higher than

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Speaker 1: the percentage of the men who do so. End of quote,

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Speaker 1: repeat the line. Wow. It does not say let me

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Speaker 1: repeat the line, which would have been something right, because

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Speaker 1: I want to repeat it that it makes a big difference.

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Speaker 1: But instead of saying, repeat the line, that's an instruction

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Speaker 1: from the teleprompter. And he didn't you go back and

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Speaker 1: read the same line again. He didn't repeat the line.

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Speaker 1: He did not He tried to make something up. I

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Speaker 1: couldn't even figure out about women voting. But now, has

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Speaker 1: he been like this his whole political life in terms

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Speaker 1: of reading from teleprompters, or is he used to speak

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Speaker 1: off the time he's seen he see I've watched a

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Speaker 1: whole bunch of his old his old appearances. No, he's

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Speaker 1: seen so right. He is heavily controlled. And the joke

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Speaker 1: now is whoever controls the teleprompter controls the presidency. He's

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Speaker 1: he's an empty shell being programmed by someone off screen. Yeah,

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Speaker 1: but this time they try to refute the claim by lying,

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Speaker 1: because he did not say let me repeat the line. Yes,

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Speaker 1: that's what they do. That's what everybody does in public life. Now,

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Speaker 1: everybody just lies. Oh look, how terrible it is that

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Speaker 1: the border patrol agents whipped the my rants. No, that

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Speaker 1: didn't happen, and we all saw at the time that

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Speaker 1: it didn't happen. Did you see the Some elements of

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Speaker 1: the media today tried to make a big deal out

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Speaker 1: of this job's report, which was better than they thought

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Speaker 1: it was going to be, to say, look at that,

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Speaker 1: some good news for Biden. They're trying to celebrate anything

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Speaker 1: because that's how people are going to vote in November.

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Speaker 1: I'm telling they're voting on the inflation. It's inflation. It's

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Speaker 1: not the course driven by the gas prices in their lives,

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Speaker 1: exactly right. But they're trying to push anything out there

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Speaker 1: because they don't want to talk about the economy because

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Speaker 1: it's all negative. Everyone knows you can get a job

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Speaker 1: if you want one. Everyone sees that every restaurant, every

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Speaker 1: shop has help wanted signs. I mean some shops and

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Speaker 1: restaurants curtail or hours because they don't have enough people

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Speaker 1: to work. We all know this. Run into this all

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Speaker 1: the time at restaurants. Almost every restaurant I go to,

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Speaker 1: there's some labor shortage that you become aware of because

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Speaker 1: the services or the restaurants closing early, whatever it is.

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Speaker 1: So we all know that there's a lot of people

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Speaker 1: that don't want to work, which is is interesting. It's

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Speaker 1: just a business show this morning, and they had a

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Speaker 1: couple of people who ought to know this stuff, and

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Speaker 1: they admitted, we have no idea why people are not

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Speaker 1: filling these jobs. There's between eleven and twelve million open jobs.

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Speaker 1: He goes, we have no idea why people are not

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Speaker 1: going to work because the unemployment number is not relevant here.

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Speaker 1: What's relevant is there's a lot of people sitting on

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Speaker 1: the sidelines, not even looking to be employed, who ordinarily

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Speaker 1: would be in the workforce. And I don't know if

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Speaker 1: that has something to do. Like yesterday, we were talking

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Speaker 1: about the airline industry. Airline industry got a huge bailout

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Speaker 1: from the federal government and they spent the money on

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Speaker 1: giving people buyouts and early retirements, and thousands of the

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Speaker 1: airline employees took it, which is why the airlines are

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Speaker 1: so short of staff and they're canceling flights. So maybe

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Speaker 1: there was a lot of that going on, and people

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Speaker 1: just opted out of the workforce, some of them permanently

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Speaker 1: because they got paid off. But I don't understand what

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Speaker 1: the way inflation is rage How can people afford to

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Speaker 1: sit on the sidelines? What kind of a payoff did

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Speaker 1: they get? And I don't think this is far more

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Speaker 1: than just the airlines. No, I know, I was giving

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Speaker 1: an example. You've been citing all the restaurants that need help.

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Speaker 1: Are all those people? Where'd they go? And how are

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Speaker 1: they getting by? Because those weren't high paying jobs, and

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Speaker 1: I can't imagine they jump to like huge paying jobs.

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Speaker 1: I don't know. This has been the strangest thanks to

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Speaker 1: the lockdowns. It's strangest couple of years I have ever

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Speaker 1: seen in the economy. Yeah, it's just nothing makes sense

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Speaker 1: because nothing's pure recession and nothing's pure growth. Everything's kind

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Speaker 1: of a mishmash the people's strange personal decisions, and sometimes

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Speaker 1: I add up to numbers like all the people resigning. Yeah, well,

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Speaker 1: as long as the inflation and the gas prices are

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Speaker 1: where they are, then the Democrats are doomed. Doomed plus

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Speaker 1: in November. Yeah, and I read an analysis in the

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Speaker 1: Wall Street Journal today from another economics professor who said,

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Speaker 1: it really is all about the money supply. That's what's

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Speaker 1: driven inflation. You can you can talk about COVID supply

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Speaker 1: chain problems all that, but there was just too much

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Speaker 1: money and the government led the way. Yeah. Well they

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Speaker 1: did because Laurence Summers, oh I think, used to be

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Speaker 1: the Treasury secretary for Clinton, I think, and he told

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Speaker 1: Biden's administration, don't spend trillions of dollars anymore, right, they

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Speaker 1: because they did this another COVID burst of two trillion

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Speaker 1: early in Biden's term. He goes, don't do that. You're

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Speaker 1: going to have inflation like you haven't seen in a generation.

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Speaker 1: And all the Biden heads called, oh no, no, no.

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Speaker 1: They fell in love with something that doesn't get publicized much,

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Speaker 1: something called modern monetary theory. Occasional cortex is a big

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Speaker 1: supporter of this, the idea. Now, listen to this. This

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Speaker 1: just sounds so absurd, but I'm telling you, major politicians

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Speaker 1: fell for this in the Biden administration, that the government

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Speaker 1: could print as much money as they want and spend

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Speaker 1: it and it's going to have no negative effect. They

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Speaker 1: really really look it up. They really thought that, and well,

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Speaker 1: you know, a year into the experiments like, oh wow,

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Speaker 1: looks and look at the other half of that. If

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Speaker 1: you're going to give money away to people, you're probably

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Speaker 1: going to give it to the poorest people, and they're

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Speaker 1: going to spend it right away. Yeah, because they don't

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Speaker 1: have money and they need to spend money on things

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Speaker 1: that they can't afford, or things that they've always wanted,

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Speaker 1: or things that they're behind and paying for. All Right,

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Speaker 1: we got more coming up. Johnny ktt cafind of the

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Speaker 1: population vaccinated, there should be a blanket of herd immunity.

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Speaker 1: That hasn't happened. Now. The good news is that people

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Speaker 1: aren't getting as sick as they were back in twenty twenty,

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Speaker 1: as COVID spreads. But honestly, like she said, that was

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Speaker 1: relying way too much on the vaccine. And of course

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Speaker 1: we found out that the vaccine's efficacy apparently wears off

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Speaker 1: quicker than we thought. You know, now it can be

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Speaker 1: just a couple of months. So for so detections start

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Speaker 1: to fade every time there's a new variant. It seems

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Speaker 1: to be a watered down variant. It moves faster, but

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Speaker 1: the illness is milder and milder, which I said at

427
00:22:54,480 --> 00:22:57,040
Speaker 1: the beginning, But then I kept reading quote experts to

428
00:22:57,080 --> 00:22:59,199
Speaker 1: say that isn't true. That isn't true. A virus can

429
00:22:59,240 --> 00:23:01,679
Speaker 1: mutate and be just it's deadly, if not more deadly

430
00:23:01,720 --> 00:23:05,000
Speaker 1: than the preceding mutations. I guess it could, but that's

431
00:23:05,040 --> 00:23:08,359
Speaker 1: not what happened. That apparently is not what's happening. And

432
00:23:08,560 --> 00:23:10,639
Speaker 1: these variants now that most people don't even know the

433
00:23:10,760 --> 00:23:14,600
Speaker 1: names of, are not causing any real death number. Conversely,

434
00:23:14,960 --> 00:23:18,679
Speaker 1: the vaccines are getting less and less effective. The boosters

435
00:23:18,760 --> 00:23:22,200
Speaker 1: are weaker and weaker than the original shots. So the

436
00:23:22,520 --> 00:23:26,800
Speaker 1: virus is weaker, the vaccines are weakening, and you end

437
00:23:26,920 --> 00:23:29,800
Speaker 1: up predictably what we have now. You have more people

438
00:23:29,840 --> 00:23:32,639
Speaker 1: getting it over the last couple of months, but they're

439
00:23:32,760 --> 00:23:35,080
Speaker 1: less sick than the people who got it two years ago.

440
00:23:36,000 --> 00:23:39,399
Speaker 1: She cites a couple of epidemiologists who did make the

441
00:23:39,440 --> 00:23:42,000
Speaker 1: news but didn't get a lot of attensition. We mentioned

442
00:23:42,000 --> 00:23:44,160
Speaker 1: a couple of them on the show. They were part

443
00:23:44,160 --> 00:23:47,520
Speaker 1: of this great Barrington, the group that came out the

444
00:23:47,520 --> 00:23:50,639
Speaker 1: Barrington Declaration, and they were just saying, you know, we

445
00:23:50,720 --> 00:23:53,040
Speaker 1: talked about this last year and the year before. Just

446
00:23:53,119 --> 00:23:55,720
Speaker 1: protect the elderly and people with all the underlying conditions,

447
00:23:55,920 --> 00:23:58,679
Speaker 1: but let everything else go on as usual. Let businesses reopen,

448
00:23:58,760 --> 00:24:02,160
Speaker 1: let schools reopen. Should have done that back then, right, right,

449
00:24:02,200 --> 00:24:07,040
Speaker 1: But what but what's fair? Going back to oh ask well, yeah,

450
00:24:07,160 --> 00:24:09,600
Speaker 1: something the lockdown, but the whole masking, right, But the

451
00:24:09,600 --> 00:24:11,760
Speaker 1: thing is that, you know, whatever little crack that she

452
00:24:11,840 --> 00:24:14,720
Speaker 1: can exploit, she's trying to exploit here. But yeah, it

453
00:24:14,760 --> 00:24:17,520
Speaker 1: was a terrible mistake. The whole world made a terrible

454
00:24:17,560 --> 00:24:21,960
Speaker 1: mistake shutting everything down. Because if you knew, and statistically

455
00:24:21,960 --> 00:24:23,800
Speaker 1: we knew within a few weeks that it was killed,

456
00:24:24,200 --> 00:24:28,200
Speaker 1: killing the elderly and the people who were viewing vulnerable

457
00:24:28,240 --> 00:24:32,040
Speaker 1: with weak immune systems, then you everyone has to learn

458
00:24:32,119 --> 00:24:35,359
Speaker 1: how to isolate that person in their family as best

459
00:24:35,400 --> 00:24:39,040
Speaker 1: as they can. To some degree, that's happening because the

460
00:24:39,080 --> 00:24:41,840
Speaker 1: death numbers are very low. I get the daily reports

461
00:24:41,880 --> 00:24:46,040
Speaker 1: they're sent to our email, and sometimes it's single digits. Yeah,

462
00:24:46,040 --> 00:24:48,760
Speaker 1: a lot of times it is. Yeah, well, because people

463
00:24:48,800 --> 00:24:51,800
Speaker 1: have adjusted, because you can't you can't lock down the

464
00:24:51,800 --> 00:24:53,960
Speaker 1: world for years and years and years. I mean, we

465
00:24:54,200 --> 00:24:56,639
Speaker 1: could have this going on for decades. Maybe they're the

466
00:24:56,680 --> 00:24:58,760
Speaker 1: rest of our lives. What are you gonna do? I

467
00:24:58,800 --> 00:25:00,520
Speaker 1: think so. I don't think the US is going to

468
00:25:00,560 --> 00:25:04,119
Speaker 1: completely disappear. I think it will continue to mutate in

469
00:25:04,200 --> 00:25:06,720
Speaker 1: some form and still infect people. But yeah, you just

470
00:25:06,800 --> 00:25:09,400
Speaker 1: gotta brush it off. And as you said, if you've

471
00:25:09,400 --> 00:25:12,280
Speaker 1: got somebody that's got severe underlying conditions and is old,

472
00:25:12,600 --> 00:25:16,480
Speaker 1: they just have to stay out of now they're harm's way.

473
00:25:16,600 --> 00:25:18,520
Speaker 1: Buck Buck is going to be written years from now

474
00:25:18,600 --> 00:25:21,000
Speaker 1: looking back at this time, and people in the next

475
00:25:21,040 --> 00:25:22,960
Speaker 1: generation are going to read it and say, well, what

476
00:25:23,080 --> 00:25:27,480
Speaker 1: a bunch of blunderbusses. Blunderbuss Jared is blind, guys, stumbling

477
00:25:27,480 --> 00:25:29,680
Speaker 1: in the dark. You have quite a list of words

478
00:25:29,680 --> 00:25:33,680
Speaker 1: today early on on the show. Blunderbuss, wunderbusses. Yeah, what's

479
00:25:33,720 --> 00:25:41,720
Speaker 1: what did you call Newsom yesterday? Buffoona pumpfoon, oh, pompfoony, pony? Yeah,

480
00:25:41,800 --> 00:25:43,680
Speaker 1: all right, we got more coming up, John to get

481
00:25:44,200 --> 00:25:46,400
Speaker 1: all right, we'll be talking about the Border Patrol after

482
00:25:46,520 --> 00:25:48,800
Speaker 1: three o'clock with Brandon Judd, the President of the National

483
00:25:48,840 --> 00:25:51,800
Speaker 1: Border Patrol Council, the Union for the Board of Patrol Agents.

484
00:25:51,880 --> 00:25:54,600
Speaker 1: This report did come out today concerning what was going

485
00:25:54,680 --> 00:25:57,359
Speaker 1: on in Texas with the border patrol agents and the

486
00:25:57,440 --> 00:26:01,879
Speaker 1: Haitian migrants, and of course the big screaming that they

487
00:26:01,920 --> 00:26:04,760
Speaker 1: were whipping the migrants, which this report said they did

488
00:26:04,880 --> 00:26:08,879
Speaker 1: not do, but they didn't dole out some punishment to

489
00:26:08,960 --> 00:26:12,639
Speaker 1: some of the agents. We'll talk about all this after

490
00:26:13,240 --> 00:26:16,400
Speaker 1: three o'clock. There is a bit of breaking news here

491
00:26:16,440 --> 00:26:21,119
Speaker 1: on the John and Ken Show, and it concerns Elon Musk.

492
00:26:21,760 --> 00:26:25,720
Speaker 1: He's done trying to acquire Twitter. He sent the letter

493
00:26:25,760 --> 00:26:29,000
Speaker 1: to Twitter formally notifying the company he's terminating the merger agreement.

494
00:26:30,400 --> 00:26:32,320
Speaker 1: He does not want to go forward with the deal

495
00:26:32,400 --> 00:26:34,160
Speaker 1: that got so much attention a month or so ago

496
00:26:34,280 --> 00:26:36,359
Speaker 1: when it was first announced that he might be in

497
00:26:36,440 --> 00:26:40,480
Speaker 1: charge of Twitter. There was something about the fake followers

498
00:26:40,600 --> 00:26:42,720
Speaker 1: that was a big problem, he thought, he said, or

499
00:26:42,760 --> 00:26:45,159
Speaker 1: something like that. Yeah, there's there's two parts to this.

500
00:26:45,400 --> 00:26:48,840
Speaker 1: One is he says a lot of the followers or bots,

501
00:26:49,040 --> 00:26:52,560
Speaker 1: there's a high percentage, and Twitter always covered that up

502
00:26:52,640 --> 00:26:55,280
Speaker 1: and would admit to it. Well, they did say the

503
00:26:55,359 --> 00:26:59,720
Speaker 1: other day that they are closing a million bot accounts

504
00:27:00,000 --> 00:27:03,719
Speaker 1: every day, which means there was a lot and then

505
00:27:03,760 --> 00:27:06,440
Speaker 1: a million more pop up. Yeah. Well, and that's why

506
00:27:06,680 --> 00:27:09,240
Speaker 1: Twitter is filled with so much nonsense, because the bots

507
00:27:09,560 --> 00:27:14,400
Speaker 1: are run by some kind of artificial intelligence that mimics arguments,

508
00:27:14,880 --> 00:27:17,120
Speaker 1: and so you could go on Twitter and you say

509
00:27:17,200 --> 00:27:19,679
Speaker 1: something political and then you have a bunch of bots

510
00:27:20,000 --> 00:27:22,159
Speaker 1: arguing back, and then you argue with them and they

511
00:27:22,280 --> 00:27:25,159
Speaker 1: argue back, and other people join in, and it's just

512
00:27:25,400 --> 00:27:30,720
Speaker 1: it's just stupid. You're arguing with an algorithms. It's idiotic.

513
00:27:30,880 --> 00:27:33,000
Speaker 1: But that's what people do these days to past time.

514
00:27:34,160 --> 00:27:39,080
Speaker 1: The second thing, though, another driving reason is he doesn't

515
00:27:39,119 --> 00:27:41,119
Speaker 1: think the company is worth so much, and the stock

516
00:27:41,200 --> 00:27:46,720
Speaker 1: price has collapsed, as most stock prices have, so he

517
00:27:46,840 --> 00:27:48,919
Speaker 1: put in a bid for I think fifty four dollars

518
00:27:49,000 --> 00:27:52,520
Speaker 1: plus and it's trading in the low forties now and

519
00:27:52,640 --> 00:27:55,200
Speaker 1: they think it could drop into the thirties, which means

520
00:27:55,280 --> 00:28:02,000
Speaker 1: he's about to wildly overpay something and it doesn't want it. Huh.

521
00:28:02,359 --> 00:28:04,439
Speaker 1: I was just looking at now. I don't know if

522
00:28:04,480 --> 00:28:07,560
Speaker 1: he's using the bot as an excuse or the bot

523
00:28:07,720 --> 00:28:10,800
Speaker 1: is the reason he thinks the company's way over valued,

524
00:28:10,880 --> 00:28:13,159
Speaker 1: because then you don't have that many followers, you know,

525
00:28:13,200 --> 00:28:15,159
Speaker 1: you're not going to get that much advertising revenue. I

526
00:28:15,200 --> 00:28:17,600
Speaker 1: don't know you and I enjoyed it because it was

527
00:28:17,640 --> 00:28:19,920
Speaker 1: really shaking up the woke people that they were angry,

528
00:28:20,040 --> 00:28:23,720
Speaker 1: scared to death. Some are resigning. Damn it. That's that's

529
00:28:23,760 --> 00:28:26,440
Speaker 1: the reason I'm to take over. Well, the woke people

530
00:28:26,440 --> 00:28:28,520
Speaker 1: are gonna have to go back arguing with the bots.

531
00:28:30,320 --> 00:28:32,560
Speaker 1: I was just looking at Jinny of that foolish existence

532
00:28:33,440 --> 00:28:36,720
Speaker 1: the John and Ken Twitter. Do you think we got

533
00:28:36,760 --> 00:28:38,160
Speaker 1: a lot of bots? As thirty one and a half

534
00:28:38,160 --> 00:28:40,520
Speaker 1: thousand followers, I think that half of those are bots.

535
00:28:40,560 --> 00:28:44,120
Speaker 1: Are could be? Yeah, they might know, because the bot

536
00:28:44,200 --> 00:28:49,880
Speaker 1: people might attach to media accounts or things it perceives

537
00:28:49,920 --> 00:28:53,800
Speaker 1: as a politically oriented accounts. So we put enough probably

538
00:28:53,880 --> 00:28:57,200
Speaker 1: political news on there that the bots have figured it out.

539
00:28:57,240 --> 00:29:00,440
Speaker 1: And yeah, probably some of our listeners end up arguing

540
00:29:00,560 --> 00:29:03,960
Speaker 1: with bots based on stories that we post there. Yeah,

541
00:29:04,200 --> 00:29:07,840
Speaker 1: just flipping around here suspiciously. Tim Conway has about the

542
00:29:07,920 --> 00:29:11,040
Speaker 1: exact same number of followers as we do. Oh, he

543
00:29:11,160 --> 00:29:18,480
Speaker 1: definitely has bots. This story pops up every now and then,

544
00:29:18,560 --> 00:29:22,120
Speaker 1: and I never fail to enjoy it. Every now and

545
00:29:22,240 --> 00:29:25,080
Speaker 1: then there is somebody that puts an obituary of a

546
00:29:25,200 --> 00:29:29,280
Speaker 1: family member in the newspaper and it ain't pretty. It

547
00:29:29,360 --> 00:29:32,320
Speaker 1: doesn't happen very often if you've ever glanced at the obituaries.

548
00:29:32,320 --> 00:29:34,000
Speaker 1: Of course they talk about the person that led a

549
00:29:34,120 --> 00:29:38,000
Speaker 1: charming life, and they were loved and beloved, and you know,

550
00:29:38,160 --> 00:29:41,560
Speaker 1: they did this and they did that, and they appreciated

551
00:29:41,640 --> 00:29:43,680
Speaker 1: life and they were the one of the only fews

552
00:29:43,760 --> 00:29:50,000
Speaker 1: something like a spirit, a very very joyous spirit. Well,

553
00:29:50,200 --> 00:29:54,040
Speaker 1: most are emotional odes to loved ones. There was one

554
00:29:54,120 --> 00:29:57,600
Speaker 1: published in a Florida newspaper over the weekend where a

555
00:29:57,680 --> 00:30:01,000
Speaker 1: man by the name of Laurence H. Great last name

556
00:30:02,200 --> 00:30:09,000
Speaker 1: Faff p f A f F eighty one years old.

557
00:30:09,840 --> 00:30:12,640
Speaker 1: He lived on Long Island, good Old Belmont. He died

558
00:30:13,480 --> 00:30:18,200
Speaker 1: and the obituary, written by his son said he lived

559
00:30:18,320 --> 00:30:22,440
Speaker 1: a long life, much longer than he deserved, that he

560
00:30:22,640 --> 00:30:29,800
Speaker 1: was a dad to none, and this one, which I

561
00:30:29,840 --> 00:30:32,640
Speaker 1: thought was the worst. His death does prove that evil

562
00:30:32,680 --> 00:30:37,720
Speaker 1: does eventually die. Wow, you should see the guy that

563
00:30:37,760 --> 00:30:40,720
Speaker 1: wrote the obituary. He's got like this long beard, Lawrence

564
00:30:40,920 --> 00:30:44,800
Speaker 1: faf FAF junior. Oh, he's got the same name. He

565
00:30:45,000 --> 00:30:47,400
Speaker 1: wrote this a year before his father died. He really

566
00:30:47,480 --> 00:30:49,320
Speaker 1: wanted to and he said he kind of did it

567
00:30:49,360 --> 00:30:52,600
Speaker 1: as an emotional exercise to try to get all the

568
00:30:52,760 --> 00:30:55,440
Speaker 1: demons to come to the surface. About his father, who

569
00:30:55,480 --> 00:30:58,520
Speaker 1: he had a clearly a bad relationship with, he said

570
00:30:58,560 --> 00:31:03,160
Speaker 1: his father was a ladies man an abusive alcoholic, solidifying

571
00:31:03,240 --> 00:31:06,880
Speaker 1: his commitment to both with the path of destruction he

572
00:31:07,040 --> 00:31:12,640
Speaker 1: left behind, damaging his adult children and leaving them broken. Wow, well,

573
00:31:12,680 --> 00:31:15,520
Speaker 1: that is a nasty combination to be a ladies man

574
00:31:15,600 --> 00:31:17,760
Speaker 1: and an abusive alcoholic. It's like, that's like that's a

575
00:31:17,800 --> 00:31:20,480
Speaker 1: trifective because you're gonna be cheating on the mom. You're

576
00:31:20,480 --> 00:31:22,080
Speaker 1: probably never going to see the father because he's out

577
00:31:22,120 --> 00:31:23,719
Speaker 1: with the women all night. But he does come home,

578
00:31:23,760 --> 00:31:26,080
Speaker 1: he's drunk and he beats you. His love. That's just

579
00:31:26,240 --> 00:31:28,880
Speaker 1: not a happen that it goes on every day. His

580
00:31:29,040 --> 00:31:31,400
Speaker 1: love was abundant when it came to himself, but for

581
00:31:31,640 --> 00:31:34,480
Speaker 1: his children it was limited. It will be challenging to

582
00:31:34,560 --> 00:31:38,560
Speaker 1: miss Laurence Senior because he was narcissistic. He was incapable

583
00:31:38,640 --> 00:31:43,360
Speaker 1: of love. The newspaper, The Florida Times, has apologized for

584
00:31:43,480 --> 00:31:47,320
Speaker 1: actually precting the obituary because and of course there's there's

585
00:31:47,320 --> 00:31:49,440
Speaker 1: some people that obsess some of the obituaries. They were

586
00:31:49,480 --> 00:31:52,800
Speaker 1: probably aghast and either wrote or called the paper and said,

587
00:31:52,920 --> 00:31:56,120
Speaker 1: how could you do this? This is horrible. It doesn't

588
00:31:56,200 --> 00:31:58,560
Speaker 1: matter what a person did, if they die, they should

589
00:31:58,720 --> 00:32:02,040
Speaker 1: get some at least no neutrality. This is why I

590
00:32:02,040 --> 00:32:05,440
Speaker 1: always go off when celebrities who had bad personal lives

591
00:32:05,800 --> 00:32:08,520
Speaker 1: they die and they get lauded by all they're idiot fans.

592
00:32:09,760 --> 00:32:12,480
Speaker 1: It makes it makes me crazy, makes me absolutely nuts.

593
00:32:12,560 --> 00:32:15,520
Speaker 1: It's like, I hate that. I hate that tradition. I

594
00:32:15,680 --> 00:32:18,440
Speaker 1: hate that ritual. You know, if the guy's a bastard,

595
00:32:18,520 --> 00:32:20,640
Speaker 1: he's a bastard. Just just say it as part of

596
00:32:20,680 --> 00:32:24,200
Speaker 1: the story. Stop say it publicly though, or yes, think

597
00:32:24,320 --> 00:32:26,720
Speaker 1: everybody should know. No, maybe at the funeral you just

598
00:32:26,800 --> 00:32:30,560
Speaker 1: talked to a few people and say yeah day he

599
00:32:31,040 --> 00:32:33,720
Speaker 1: apparently he did mention his father did spend over twenty

600
00:32:33,800 --> 00:32:36,680
Speaker 1: years working in the New York City Police Department. Quote

601
00:32:36,720 --> 00:32:39,480
Speaker 1: when it came to his personal life, he did claim

602
00:32:39,520 --> 00:32:42,000
Speaker 1: to be clean and sober for over thirty years, but

603
00:32:42,160 --> 00:32:44,960
Speaker 1: he never worked in any of the twelve steps, including

604
00:32:45,000 --> 00:32:49,440
Speaker 1: the eighth and the ninth steps with his children making amends.

605
00:32:49,800 --> 00:32:52,720
Speaker 1: This is the twelve step program with alcoholics. Anonymous. Yeah,

606
00:32:54,400 --> 00:32:58,400
Speaker 1: so he skipped a few steps. His passing will mark

607
00:32:58,440 --> 00:33:01,880
Speaker 1: a time of healing, which will allow his children to

608
00:33:01,960 --> 00:33:05,080
Speaker 1: get the closure they deserve. Also, he didn't get the

609
00:33:05,120 --> 00:33:07,640
Speaker 1: blowback he thought he was gonna get. He actually got

610
00:33:07,680 --> 00:33:10,400
Speaker 1: a lot of positive comments for online, thanking him for

611
00:33:10,480 --> 00:33:12,720
Speaker 1: his candor. I was gonna say, I thought it was

612
00:33:12,760 --> 00:33:14,840
Speaker 1: other people that knew the father and said, yeah, you're right,

613
00:33:14,880 --> 00:33:16,800
Speaker 1: the guy wasn't Jark. No, other people who had a

614
00:33:16,840 --> 00:33:20,320
Speaker 1: bastard in their life. So there's nothing more galling if

615
00:33:20,360 --> 00:33:23,920
Speaker 1: you see an obituary lauding somebody as being this wonderful

616
00:33:24,000 --> 00:33:26,960
Speaker 1: human being and leading this beautiful life when you know

617
00:33:27,480 --> 00:33:29,880
Speaker 1: he was he was a miserable a hole. It's like,

618
00:33:29,960 --> 00:33:35,080
Speaker 1: who wants to read this? Do this too? It's like

619
00:33:35,360 --> 00:33:37,160
Speaker 1: you're not gonna get your day in the sun. At

620
00:33:37,200 --> 00:33:39,600
Speaker 1: the end, he said, he got a call from a

621
00:33:39,680 --> 00:33:42,520
Speaker 1: woman in Saint Augustine, Florida, who tracked me down thanked

622
00:33:42,560 --> 00:33:44,800
Speaker 1: me for the posting because he'd helped her bring some

623
00:33:44,960 --> 00:33:46,440
Speaker 1: more healing to her own life. Oh, I guess she

624
00:33:46,480 --> 00:33:49,960
Speaker 1: had an awful father too. Yeah, I guess that's part

625
00:33:50,000 --> 00:33:52,760
Speaker 1: of what this does. He said. I didn't think it

626
00:33:52,760 --> 00:33:54,840
Speaker 1: would get so much attention, But you know, in the

627
00:33:54,880 --> 00:33:57,120
Speaker 1: age of social media. If one person reads it and

628
00:33:57,120 --> 00:33:58,760
Speaker 1: they start posting it, yeah, I can end up all

629
00:33:58,800 --> 00:34:02,480
Speaker 1: over the place. We Gannette, which owns the paper, says,

630
00:34:02,520 --> 00:34:06,040
Speaker 1: we regrettably published an obituary that did not adhere to

631
00:34:06,120 --> 00:34:09,360
Speaker 1: our guidelines. Oh you mean somebody wrote the truth. Yeah,

632
00:34:12,000 --> 00:34:14,720
Speaker 1: well we don't have a guideline for the truth. Remember

633
00:34:14,880 --> 00:34:18,040
Speaker 1: years ago and you already laugh about this. The media

634
00:34:18,239 --> 00:34:20,759
Speaker 1: when they first went online, we're very excited to have

635
00:34:20,840 --> 00:34:24,520
Speaker 1: the comments section. That's what they thought at first, Well,

636
00:34:24,560 --> 00:34:26,480
Speaker 1: this will be great, people will have a fresh exchange

637
00:34:26,520 --> 00:34:29,960
Speaker 1: of opinions. And instead it was for patrols. God that

638
00:34:30,120 --> 00:34:33,719
Speaker 1: posts all sorts of racists have seen things, and they realized, oh,

639
00:34:33,800 --> 00:34:36,239
Speaker 1: I want to close that down. That's what's that's what's

640
00:34:36,480 --> 00:34:39,560
Speaker 1: the funniest thing about like online exchange in the Internet,

641
00:34:39,719 --> 00:34:43,120
Speaker 1: Because you're right, when they first started, every single publication

642
00:34:43,239 --> 00:34:46,040
Speaker 1: had comments, right, and then social media came and the

643
00:34:46,160 --> 00:34:48,279
Speaker 1: social media nerds who ran the company said, no, this

644
00:34:48,440 --> 00:34:53,040
Speaker 1: is a place for people to exchange, you know, ideas together, right,

645
00:34:53,200 --> 00:34:56,839
Speaker 1: you know, we have a dialogue, but we'll connect, we'll

646
00:34:56,880 --> 00:34:59,799
Speaker 1: love each other. And it's like you people really are

647
00:35:00,080 --> 00:35:01,920
Speaker 1: I have no idea what human nature is like, do

648
00:35:02,040 --> 00:35:05,400
Speaker 1: you I knew. I knew the whole thing was going

649
00:35:05,480 --> 00:35:10,120
Speaker 1: to be filled with all kinds of anger and venom

650
00:35:10,280 --> 00:35:13,520
Speaker 1: and just nothing but fighting and name calling, because that's

651
00:35:13,520 --> 00:35:18,040
Speaker 1: some people are, especially because you're anonymous. Oh hell yeah, yeah,

652
00:35:18,080 --> 00:35:20,480
Speaker 1: just to use your little tagline and throw in a

653
00:35:20,520 --> 00:35:22,600
Speaker 1: comment there if nasty, I should make yourself feel better

654
00:35:22,640 --> 00:35:25,480
Speaker 1: for ten seconds, no name, no picture, Yeah, Bill, A

655
00:35:26,160 --> 00:35:30,200
Speaker 1: human race is a vicious, nasty, angry race. All right

656
00:35:30,280 --> 00:35:33,480
Speaker 1: to Brandon Judd, the president of the National Border Patrol Council,

657
00:35:33,600 --> 00:35:36,120
Speaker 1: that's the union for the Border patrol Agents, will be

658
00:35:36,239 --> 00:35:38,600
Speaker 1: on next to talk about this report that finally came

659
00:35:38,640 --> 00:35:42,000
Speaker 1: out five hundred eleven pages about what went on with

660
00:35:42,120 --> 00:35:44,640
Speaker 1: the Haitian migrants at the border in Texas last year,

661
00:35:45,000 --> 00:35:48,319
Speaker 1: and they admit there was no whipping of migrants. Coming

662
00:35:48,400 --> 00:35:50,759
Speaker 1: up next John and Ken Show, Deborah Mark has the

663
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Speaker 1: news KFI AM six Sporting. It's never been more important

664
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