1 00:00:00,600 --> 00:00:02,960 Speaker 1: Calf. I am six forty. You're listening to the John 2 00:00:02,960 --> 00:00:10,200 Speaker 1: and Ken Show on demand on the iHeartRadio app. Welcome everybody, 3 00:00:10,520 --> 00:00:13,280 Speaker 1: We got everything in place. Next hour, we're bringing back 4 00:00:13,320 --> 00:00:16,760 Speaker 1: the Moistline, two rounds of it, the first which will 5 00:00:16,760 --> 00:00:19,119 Speaker 1: play around three twenty, and then near the end of 6 00:00:19,120 --> 00:00:23,320 Speaker 1: the show add around three fifty. We do Well, here's 7 00:00:23,360 --> 00:00:25,720 Speaker 1: what the committee was dealing with this week. We are 8 00:00:25,800 --> 00:00:29,360 Speaker 1: going to throw hacks into the dumpster. But there might 9 00:00:29,360 --> 00:00:33,520 Speaker 1: have been as many as sixteen, so we can't do that. Well, 10 00:00:33,520 --> 00:00:35,280 Speaker 1: we could, but we'd probably take up the rest of 11 00:00:35,280 --> 00:00:39,360 Speaker 1: the show. So instead we'll symbolically throw one hack representing 12 00:00:39,400 --> 00:00:43,840 Speaker 1: all of them. Oh, the one we got audio of, Well, 13 00:00:44,200 --> 00:00:47,440 Speaker 1: that would have to do. Although I think this person 14 00:00:47,520 --> 00:00:50,120 Speaker 1: is a centerpiece to the story though beyond being just 15 00:00:50,640 --> 00:00:53,680 Speaker 1: one of them. Well, that's as good a reason is any. Yeah, 16 00:00:54,000 --> 00:00:57,560 Speaker 1: I mean, it's funny to throw sixteen people into the dumpster. 17 00:00:57,640 --> 00:00:59,840 Speaker 1: Butt we don't even know their names. I'm not so 18 00:00:59,920 --> 00:01:01,600 Speaker 1: the mob would even have patience for that. They would 19 00:01:01,640 --> 00:01:04,520 Speaker 1: just drop the body and walk away. And that we're 20 00:01:04,560 --> 00:01:06,120 Speaker 1: tired and you don't pay us enough to do this, 21 00:01:06,200 --> 00:01:08,959 Speaker 1: So we'll get as many in there as we can. 22 00:01:09,720 --> 00:01:11,679 Speaker 1: A lot of people say we don't bring good news 23 00:01:12,040 --> 00:01:13,920 Speaker 1: when it comes to many topics on the show we're 24 00:01:13,920 --> 00:01:16,920 Speaker 1: going to they're right, well, we're going to bring good 25 00:01:17,520 --> 00:01:20,119 Speaker 1: Might be some good news or is it just a facade? 26 00:01:20,560 --> 00:01:23,840 Speaker 1: We'll find out. Coming up in a few minutes, will 27 00:01:23,880 --> 00:01:27,600 Speaker 1: begin the hour though, by talking about the Los Angeles 28 00:01:27,600 --> 00:01:32,600 Speaker 1: County District Attorney George Gascone and the latest reason that 29 00:01:32,640 --> 00:01:35,280 Speaker 1: he's a super hypocrite and he has destroyed the criminal 30 00:01:35,319 --> 00:01:38,720 Speaker 1: justice system here in the County of Los Angeles is 31 00:01:38,760 --> 00:01:42,240 Speaker 1: that it has been found out that this week his 32 00:01:42,400 --> 00:01:48,080 Speaker 1: office began to shuttle their employees between their cars and 33 00:01:48,200 --> 00:01:52,320 Speaker 1: workplaces in downtown Los Angeles because of a series of 34 00:01:52,360 --> 00:01:56,560 Speaker 1: incidents in which they claim, or at least that's the 35 00:01:56,680 --> 00:02:04,600 Speaker 1: DA's office, that they're being confronted by the public or 36 00:02:05,240 --> 00:02:07,840 Speaker 1: is that just a cover but they're really concerned about 37 00:02:07,840 --> 00:02:10,840 Speaker 1: skid rowing downtown Los Angeles crime. Oh, it's the criminals. 38 00:02:11,120 --> 00:02:13,600 Speaker 1: It's the criminals and the homeless. But they're telling the 39 00:02:13,840 --> 00:02:18,000 Speaker 1: press we're getting confronted by angry people over the policies 40 00:02:19,000 --> 00:02:22,560 Speaker 1: they do it. They have those violent Trump loving maga people. 41 00:02:22,840 --> 00:02:26,600 Speaker 1: Now they have enough self awareness to know that they're there, 42 00:02:26,720 --> 00:02:30,560 Speaker 1: they're stupid policies are creating mayhem in the streets, and 43 00:02:30,600 --> 00:02:33,000 Speaker 1: that they're victims. You've got to walk through downtown. Yeah, 44 00:02:33,040 --> 00:02:37,440 Speaker 1: you're gonna get mugged. Eventually, you're gonna get attacked. But 45 00:02:37,560 --> 00:02:42,639 Speaker 1: that's not what they're saying here. Well, they're lying, That's 46 00:02:42,680 --> 00:02:45,119 Speaker 1: what I'm saying. Yeah, they're probably lying, but they're trying 47 00:02:45,160 --> 00:02:47,440 Speaker 1: to play this off that they're afraid of like John 48 00:02:47,520 --> 00:02:51,560 Speaker 1: cobelt acolytes confronting them on the streets. I doubt that 49 00:02:51,680 --> 00:02:54,240 Speaker 1: people from Look, most people I know are afraid to 50 00:02:54,280 --> 00:02:56,960 Speaker 1: go downtown for anything. They won't even go to a 51 00:02:56,960 --> 00:03:01,320 Speaker 1: show anymore downtown or a restaurant. I mean, just everybody 52 00:03:01,320 --> 00:03:04,560 Speaker 1: I know says that. And so no, I don't think 53 00:03:04,600 --> 00:03:07,880 Speaker 1: anybody is harassing them. What the homeless are harassing him? Yeah, 54 00:03:07,919 --> 00:03:09,919 Speaker 1: that's what's happening. It's the home I think. I think 55 00:03:09,919 --> 00:03:12,440 Speaker 1: it's a homeless and all the rest of the criminals 56 00:03:12,440 --> 00:03:15,560 Speaker 1: that wander around there. But they've actually they've actually named it. 57 00:03:16,280 --> 00:03:19,880 Speaker 1: You can't the Employee Secure Transport and Escort Program ESTEP. 58 00:03:20,600 --> 00:03:23,920 Speaker 1: That tells me that he's trying to amp up sympathy 59 00:03:24,760 --> 00:03:27,880 Speaker 1: for his employees. In his office that you see, my 60 00:03:28,000 --> 00:03:31,079 Speaker 1: critics are now turning to violence and they're confronting my employees. 61 00:03:31,240 --> 00:03:33,959 Speaker 1: I have to set up a special program to get 62 00:03:33,960 --> 00:03:37,800 Speaker 1: them safely to work. Gascon is like putin, they're compulsive, 63 00:03:37,880 --> 00:03:42,320 Speaker 1: pathological liars. They also have a purpose to their lives. 64 00:03:42,920 --> 00:03:47,840 Speaker 1: They're they're going to defend their philosophy to the better 65 00:03:47,960 --> 00:03:51,040 Speaker 1: end and they will never admit all the damage that 66 00:03:51,120 --> 00:03:54,840 Speaker 1: they do. And and many many people in politics are 67 00:03:54,920 --> 00:03:58,400 Speaker 1: like that. Many dictators are like that. Gascon is basically 68 00:03:58,400 --> 00:04:02,920 Speaker 1: a dictator because he's over ridden some of the many 69 00:04:02,960 --> 00:04:06,680 Speaker 1: of the laws. He just refuses to abide by them anymore. 70 00:04:07,200 --> 00:04:10,600 Speaker 1: I just wonder what really happened. I mean, maybe you 71 00:04:10,600 --> 00:04:12,920 Speaker 1: we'll eventually get the inside story. Since there's a lot 72 00:04:12,960 --> 00:04:16,040 Speaker 1: of their deputy das that don't like Gascon and the 73 00:04:16,080 --> 00:04:18,480 Speaker 1: way things are going, they're getting mugged, they're getting threatened. 74 00:04:19,279 --> 00:04:21,240 Speaker 1: I think that's kind of what happened. And they don't 75 00:04:21,279 --> 00:04:23,479 Speaker 1: feel safe in the whole civic as the civic center 76 00:04:23,560 --> 00:04:27,000 Speaker 1: area says here. Yeah, and they probably went enough of 77 00:04:27,040 --> 00:04:28,599 Speaker 1: them went and said, you know what, we're gonna go 78 00:04:28,640 --> 00:04:32,600 Speaker 1: public with this unless you protect us, okay, And they 79 00:04:32,680 --> 00:04:34,560 Speaker 1: might be what happened. And then they said, well, yeah, 80 00:04:34,560 --> 00:04:36,479 Speaker 1: we'll work up on escort service and put you like 81 00:04:36,480 --> 00:04:38,720 Speaker 1: in a little golf cart, guess, and we'll shuttle you 82 00:04:38,760 --> 00:04:41,520 Speaker 1: from the parking garage to the building and right, And 83 00:04:41,560 --> 00:04:44,000 Speaker 1: he knows how that would play, right, he knows that 84 00:04:44,000 --> 00:04:47,280 Speaker 1: would cause a firestorm of people protesting. So you come 85 00:04:47,360 --> 00:04:50,359 Speaker 1: up with the great cover lie. But I'm one hundred 86 00:04:50,400 --> 00:04:53,760 Speaker 1: percent certain about one hundred thousand dollars that it's his 87 00:04:54,240 --> 00:05:01,120 Speaker 1: employees are getting harassed, threatened, mugged, maybe some violence, absolutely, 88 00:05:01,240 --> 00:05:03,960 Speaker 1: because he wouldn't spend that much money on a shuttle service. 89 00:05:04,600 --> 00:05:09,080 Speaker 1: And how and how many people could really be confronting them? 90 00:05:09,360 --> 00:05:11,720 Speaker 1: None honestly, how many people would look up the work 91 00:05:11,800 --> 00:05:15,640 Speaker 1: schedules of the debut das where they parked their car 92 00:05:16,120 --> 00:05:18,880 Speaker 1: and where they walk to the building and stand there 93 00:05:18,920 --> 00:05:21,320 Speaker 1: and I don't like your boss, and I don't like 94 00:05:21,360 --> 00:05:23,400 Speaker 1: his direct I get out of here. This is no 95 00:05:23,480 --> 00:05:26,920 Speaker 1: credibility to this. This is a Jessie Smollette style lie. 96 00:05:27,680 --> 00:05:30,039 Speaker 1: Exactly right. You're right, they're making up a fake, a 97 00:05:30,080 --> 00:05:33,120 Speaker 1: fake sort of crime of passion against them because by 98 00:05:33,120 --> 00:05:36,320 Speaker 1: people who oppose their policies. But instead, I think it's 99 00:05:36,360 --> 00:05:40,279 Speaker 1: because it's a terrible area. Obviously, it is a lot 100 00:05:40,320 --> 00:05:42,480 Speaker 1: of people that should not be on the streets flaming 101 00:05:42,520 --> 00:05:46,200 Speaker 1: those streets. Eventually, somebody inside the office will leak out 102 00:05:46,240 --> 00:05:48,720 Speaker 1: the truth. Now who runs that story? I don't know. 103 00:05:49,000 --> 00:05:51,240 Speaker 1: I mean you can, you can certainly contact us, and 104 00:05:51,600 --> 00:05:53,960 Speaker 1: you know, we will will read your email. We'll put 105 00:05:53,960 --> 00:05:56,080 Speaker 1: you on the air. We wouldn't identify you, and you 106 00:05:56,080 --> 00:05:58,279 Speaker 1: can tell us the truth is what's going on. But 107 00:05:58,520 --> 00:06:01,880 Speaker 1: it's not like dyl sigunder Times is gonna's gonna run 108 00:06:01,920 --> 00:06:05,680 Speaker 1: that story. It says here, Well, this is elaborate. The 109 00:06:05,720 --> 00:06:08,560 Speaker 1: shuttle service will use a centralized pickup and drop off 110 00:06:08,600 --> 00:06:10,680 Speaker 1: point at the Hall of Justice at the Civic Center 111 00:06:11,200 --> 00:06:13,840 Speaker 1: to connect passengers to Union Station and a parking lot 112 00:06:13,839 --> 00:06:16,760 Speaker 1: in Chinatown. They even have the it's the Bureau of 113 00:06:16,800 --> 00:06:18,800 Speaker 1: Investigation is going to be doing this. It's a seven 114 00:06:18,839 --> 00:06:22,240 Speaker 1: passenger minivan and they give the Times and everything when 115 00:06:22,240 --> 00:06:23,800 Speaker 1: you could be picked up. I guess this was like 116 00:06:23,839 --> 00:06:26,560 Speaker 1: a release to the employees that got leaked to Fox 117 00:06:26,600 --> 00:06:30,080 Speaker 1: News and that's my guests. Oh, it's interesting Fox News 118 00:06:30,400 --> 00:06:34,040 Speaker 1: published it. I think it's because somebody in the DA's 119 00:06:34,040 --> 00:06:36,000 Speaker 1: office sent it to Fox News and said, now, look, 120 00:06:36,279 --> 00:06:38,320 Speaker 1: they have to protect us when we're moving between the 121 00:06:38,320 --> 00:06:41,640 Speaker 1: garage and the offices, right, And they found out that 122 00:06:41,680 --> 00:06:44,919 Speaker 1: it's called the Employee Secure Transport and Escort Program. It 123 00:06:44,920 --> 00:06:47,159 Speaker 1: was probably an internal office memo that went out that 124 00:06:47,240 --> 00:06:49,719 Speaker 1: got forwarded to a Fox News report. That's my guest, 125 00:06:49,800 --> 00:06:55,320 Speaker 1: you bozos who enable Gascone, you've created your own hell. 126 00:06:57,080 --> 00:07:00,920 Speaker 1: The reason you're getting attacked is your boss's policies. That's 127 00:07:00,960 --> 00:07:03,320 Speaker 1: why you're getting attacked. And you're not getting attacked from 128 00:07:03,360 --> 00:07:06,080 Speaker 1: normal people. You're getting attacked from the criminals and the 129 00:07:06,160 --> 00:07:11,080 Speaker 1: vagrants that you protect. So maybe there is some justice finally. Yeah, 130 00:07:12,320 --> 00:07:15,520 Speaker 1: um yeah. They quote oh John McKinney, the prosecutor who's 131 00:07:15,560 --> 00:07:19,600 Speaker 1: running for Gascombe's job. In twenty twenty four, while a 132 00:07:19,720 --> 00:07:22,680 Speaker 1: plug George Gascone for taking measures to ensure the safety 133 00:07:22,680 --> 00:07:25,200 Speaker 1: of DA staff. I blame his policies and contributed to 134 00:07:25,200 --> 00:07:27,600 Speaker 1: the need for extraordinary measures. He sounds like he's not 135 00:07:27,640 --> 00:07:30,320 Speaker 1: buying it either. Well, because he works there, he knows, 136 00:07:30,320 --> 00:07:33,440 Speaker 1: he knows what goes on. It isn't people with different 137 00:07:33,520 --> 00:07:37,800 Speaker 1: views confronting employees and your average vagrant and criminal on 138 00:07:37,840 --> 00:07:40,440 Speaker 1: the loose of downtown Los Angeles. Okay, why don't they 139 00:07:40,520 --> 00:07:42,680 Speaker 1: You know, if they had a story, right, they'd stepped 140 00:07:42,680 --> 00:07:45,160 Speaker 1: forward and tell the story. If they had a story 141 00:07:45,360 --> 00:07:50,680 Speaker 1: about normal people harassing them, they would give the details 142 00:07:50,680 --> 00:07:53,600 Speaker 1: of the stories. They're not doing that, all right, This 143 00:07:53,680 --> 00:07:58,720 Speaker 1: is all criminals and homeless people that the DA employees 144 00:07:58,760 --> 00:08:02,120 Speaker 1: are dodging. That's a hundred s And now what he's 145 00:08:02,120 --> 00:08:05,120 Speaker 1: giving them special protection? What about everybody else's employees, of 146 00:08:05,200 --> 00:08:08,160 Speaker 1: people that work downtown that are not in the DA's office, 147 00:08:08,640 --> 00:08:11,640 Speaker 1: they don't get any escorts, right, So that's why they 148 00:08:11,640 --> 00:08:13,320 Speaker 1: have to paint this story like, oh no, no, it's 149 00:08:13,320 --> 00:08:16,360 Speaker 1: not crime or homeless people, it's opponents of our policy. 150 00:08:16,640 --> 00:08:17,920 Speaker 1: Don't worry about it. If you don't work for the 151 00:08:18,000 --> 00:08:20,720 Speaker 1: d's office, you're not in any jeopardy. Hey, I hope 152 00:08:20,720 --> 00:08:24,000 Speaker 1: he gets questioned about this by some reporter eventually, but 153 00:08:24,160 --> 00:08:29,920 Speaker 1: nobody does. Nobody does nobody coming. He'll lie anyway, He'll 154 00:08:29,960 --> 00:08:33,440 Speaker 1: say we've had incidents with people who threatening our policy. 155 00:08:33,600 --> 00:08:35,840 Speaker 1: If he doesn't get questioned, he lies, But he generally 156 00:08:35,920 --> 00:08:38,720 Speaker 1: doesn't get question and outside of a handful of people, 157 00:08:38,720 --> 00:08:41,679 Speaker 1: nobody even investigates him. I mean it's I mean I 158 00:08:41,760 --> 00:08:43,600 Speaker 1: look at the news at five o'clock and you know 159 00:08:43,640 --> 00:08:45,520 Speaker 1: the news is going to run with draws an audience, 160 00:08:45,760 --> 00:08:50,120 Speaker 1: and what I watched a little crime which he's responsible for. Yeah, 161 00:08:50,160 --> 00:08:53,679 Speaker 1: but it's the superficial coverage of the chalk outline, right, 162 00:08:53,760 --> 00:08:56,520 Speaker 1: or the blood stains on the sidewalk. It's that stuff 163 00:08:57,280 --> 00:09:00,440 Speaker 1: doesn't draw them map. There's never anything intel leg that 164 00:09:00,520 --> 00:09:03,960 Speaker 1: goes into how the policies are creating this crime wave. 165 00:09:04,520 --> 00:09:07,800 Speaker 1: Nobody in television does that ever. But because I watched 166 00:09:07,920 --> 00:09:10,719 Speaker 1: a little more news than usual just to see all 167 00:09:10,760 --> 00:09:14,120 Speaker 1: the weather the last few weeks, and if you hang 168 00:09:14,160 --> 00:09:16,840 Speaker 1: around for an extra five or ten minutes, you could 169 00:09:16,840 --> 00:09:21,880 Speaker 1: see it is just so much happy talk bs just 170 00:09:23,360 --> 00:09:27,719 Speaker 1: you know, diversity stories and inspirational stories and it's just 171 00:09:28,360 --> 00:09:31,640 Speaker 1: really nonsense. You know, it's for the low IQ crowd. 172 00:09:32,559 --> 00:09:34,640 Speaker 1: All right. When we come back, I said there would 173 00:09:34,720 --> 00:09:37,560 Speaker 1: be some good news when it comes to crime. Maybe 174 00:09:37,720 --> 00:09:41,280 Speaker 1: we'll explore We'll play the story from NBC four after 175 00:09:41,360 --> 00:09:45,200 Speaker 1: three o'clock, Alex Stone is coming on because apparently newsome 176 00:09:45,480 --> 00:09:47,000 Speaker 1: in the state of California. I wanted to make a 177 00:09:47,040 --> 00:09:49,040 Speaker 1: big deal about how they're going to do a makeover 178 00:09:49,040 --> 00:09:52,200 Speaker 1: at San Quentin San Quentin, of course has the lifers. 179 00:09:52,880 --> 00:09:55,280 Speaker 1: These are the murderers. There was death row up there, 180 00:09:55,320 --> 00:09:57,440 Speaker 1: and then of course there's people that got life in 181 00:09:57,480 --> 00:10:00,719 Speaker 1: prison without parole, and they're going to change everything into 182 00:10:00,720 --> 00:10:04,440 Speaker 1: a Scandinavian model where it's more pleasant to be in 183 00:10:04,440 --> 00:10:06,760 Speaker 1: the prison. I will find out all the details after 184 00:10:06,840 --> 00:10:09,800 Speaker 1: three from alex without the Scandinavian prisoners that make the 185 00:10:09,840 --> 00:10:12,880 Speaker 1: model work. John and Ken kf I AM six forty. 186 00:10:12,880 --> 00:10:16,280 Speaker 1: We're live everywhere on the iHeartRadio app. You're listening to 187 00:10:16,360 --> 00:10:20,319 Speaker 1: John and Ken on demand from kf I AM six forty. 188 00:10:21,640 --> 00:10:23,600 Speaker 1: The New York Post has one of these flashy stories 189 00:10:23,640 --> 00:10:26,480 Speaker 1: at the top of its website. Wife of top credit 190 00:10:26,559 --> 00:10:30,440 Speaker 1: sweets exec flashes her butt as bank begs for fifty 191 00:10:30,480 --> 00:10:33,800 Speaker 1: four billion dollars bailout. I'm not sure of the connection, 192 00:10:33,880 --> 00:10:37,000 Speaker 1: but I guess they found racy pictures of the well 193 00:10:37,120 --> 00:10:41,760 Speaker 1: she went out partying while her husband she lifts up 194 00:10:41,760 --> 00:10:46,559 Speaker 1: her skirt here in a picture. Yeah. Well, the day 195 00:10:46,600 --> 00:10:49,520 Speaker 1: that they were getting the fifty four billion dollar bailout 196 00:10:49,600 --> 00:10:52,880 Speaker 1: that I think her executive husband is involved in. She 197 00:10:53,120 --> 00:10:55,760 Speaker 1: was Daniel Ezra. She was out partying at the art 198 00:10:55,840 --> 00:10:58,000 Speaker 1: She was at the Art Production Fund gaelt in New 199 00:10:58,080 --> 00:11:00,360 Speaker 1: York City, and she there's a photo of her and 200 00:11:00,400 --> 00:11:03,360 Speaker 1: she's lifted up her dress and showed off her butt. Well, 201 00:11:03,440 --> 00:11:05,360 Speaker 1: she was trying to give herself a lift and feel 202 00:11:05,400 --> 00:11:09,000 Speaker 1: better about the world. It's what we can't have a 203 00:11:09,000 --> 00:11:11,880 Speaker 1: little fun even when you're facing a crisis. Always yesterday, 204 00:11:12,000 --> 00:11:16,760 Speaker 1: the head of the oh yeah, this SVB in Hawaii. Yeah, 205 00:11:16,760 --> 00:11:19,720 Speaker 1: in Maui with his wife after being limousined over to 206 00:11:19,720 --> 00:11:22,920 Speaker 1: the San Francisco Airport first class tickets on the plane 207 00:11:23,240 --> 00:11:25,640 Speaker 1: lands in Mauie to spend some time at the three 208 00:11:25,679 --> 00:11:30,120 Speaker 1: million dollars getaway they have there. They don't care, it 209 00:11:30,160 --> 00:11:35,080 Speaker 1: doesn't matter to them. No, And apparently the parent company 210 00:11:35,080 --> 00:11:39,160 Speaker 1: of SVB is declared bankruptcy. There's a whole other companies 211 00:11:39,160 --> 00:11:42,080 Speaker 1: involved in that. So hey, they loot the place. He 212 00:11:42,280 --> 00:11:45,240 Speaker 1: cashed in over three million dollars rather stock, the guy 213 00:11:45,280 --> 00:11:49,040 Speaker 1: from Silicon Valley Bank. He cashed that in And now 214 00:11:49,040 --> 00:11:52,160 Speaker 1: he's in Hawaii. Where what are you doing all day? 215 00:11:52,160 --> 00:11:54,760 Speaker 1: You're working? He's not look at us. This girl here, 216 00:11:55,160 --> 00:11:57,920 Speaker 1: the wife of the Credit Swee executive, what is he doing? 217 00:11:58,240 --> 00:12:03,080 Speaker 1: She's showing her rear. End of the world apparently Mark 218 00:12:03,160 --> 00:12:06,079 Speaker 1: Zuckerberg got confronted today and they're gonna lay off ten 219 00:12:06,120 --> 00:12:09,920 Speaker 1: thousand people at Meta. They did a company video call 220 00:12:10,280 --> 00:12:12,959 Speaker 1: and a lot of the employees were venting, how could 221 00:12:13,040 --> 00:12:17,840 Speaker 1: we trust you? Well, you're you're not making the money 222 00:12:17,880 --> 00:12:21,480 Speaker 1: that you used to. That's what happens. Yeah, Well, you know, 223 00:12:21,840 --> 00:12:24,120 Speaker 1: predictions of a recession are real. I mean, there's so 224 00:12:24,160 --> 00:12:27,120 Speaker 1: many problems, but the whole, the whole tech bubble has 225 00:12:27,160 --> 00:12:30,120 Speaker 1: popped down. The tech industry has peaked until they have 226 00:12:30,280 --> 00:12:34,360 Speaker 1: the next innovation. That's the way it goes. It doesn't 227 00:12:34,400 --> 00:12:38,000 Speaker 1: boom forever, right, you had like a you know, last 228 00:12:38,280 --> 00:12:42,080 Speaker 1: ten fifteen years has been ridiculous, so announce running scarse. 229 00:12:42,120 --> 00:12:45,320 Speaker 1: I've read there's been four hundred sixty five thousand tech 230 00:12:45,400 --> 00:12:50,000 Speaker 1: layoffs four hundred sixty five thousand. But there's many millions 231 00:12:50,000 --> 00:12:52,439 Speaker 1: of workers, so it's kind of a small percentage, don't 232 00:12:52,440 --> 00:12:55,280 Speaker 1: you think? Yeah, I would guess yeah, But that's a 233 00:12:55,280 --> 00:12:57,800 Speaker 1: lot of bodies, So there's a lot of people pissed. Well, 234 00:12:57,800 --> 00:13:00,000 Speaker 1: it's not that it doesn't happen in those bigger number. 235 00:13:00,120 --> 00:13:02,320 Speaker 1: Is that often you're not the real story? Yeah, I 236 00:13:02,320 --> 00:13:03,920 Speaker 1: mean the average I couldn't leave this. You know, the 237 00:13:03,960 --> 00:13:07,040 Speaker 1: average Facebook employee makes like three hundred and ninety thousand dollars. 238 00:13:07,520 --> 00:13:10,040 Speaker 1: I do believe that. Yeah, and that's another thing that 239 00:13:10,080 --> 00:13:13,400 Speaker 1: they should reconsider. So so that that's ten thousand people 240 00:13:13,760 --> 00:13:16,720 Speaker 1: who were making nearly four hundred thousand a year and 241 00:13:16,800 --> 00:13:20,920 Speaker 1: suddenly they're out of work. Yeah, that that's that's a 242 00:13:21,000 --> 00:13:22,440 Speaker 1: huge drop, because where are you going to go and 243 00:13:22,480 --> 00:13:25,720 Speaker 1: make that kind of money. I guess Twitter is still 244 00:13:25,720 --> 00:13:27,840 Speaker 1: holding up though, even though they had a couple of outages, 245 00:13:28,120 --> 00:13:31,800 Speaker 1: a couple adages. But he's still cutbacks of he's still 246 00:13:31,840 --> 00:13:34,400 Speaker 1: doing for that eighty percent of the workforce. Yes, somehow 247 00:13:34,480 --> 00:13:37,640 Speaker 1: they're watching to get by. What did all these people 248 00:13:37,720 --> 00:13:42,760 Speaker 1: do all day? Just censor political statements? Was that most 249 00:13:42,800 --> 00:13:45,800 Speaker 1: of the work? All? Right, now we're gonna take a 250 00:13:45,840 --> 00:13:49,120 Speaker 1: look at crime. We were just talking about the Yella 251 00:13:49,200 --> 00:13:53,040 Speaker 1: County District Attorney George Gascone, who's decided to allow his 252 00:13:53,160 --> 00:13:56,920 Speaker 1: employees to have a safe escort a shuttle between their 253 00:13:56,920 --> 00:14:00,000 Speaker 1: parking garage and their work building in downtown. Will say 254 00:14:00,000 --> 00:14:02,440 Speaker 1: angelists claiming, of course, and we believe it's a lie. 255 00:14:02,559 --> 00:14:06,040 Speaker 1: That's because they're being confronted by the public allegedly I 256 00:14:06,120 --> 00:14:10,480 Speaker 1: guess over the DA's policies. We now moved to NBC 257 00:14:10,640 --> 00:14:15,160 Speaker 1: four and former KFI and news reporter Eric Leonard. This 258 00:14:15,360 --> 00:14:17,959 Speaker 1: could be a bit of good news on the crime front. 259 00:14:18,000 --> 00:14:22,240 Speaker 1: Let's listen. Security video recordings like these showed that, beginning 260 00:14:22,280 --> 00:14:25,600 Speaker 1: in late twenty twenty one, there was an unmistakable trend 261 00:14:25,880 --> 00:14:29,000 Speaker 1: of people being followed out of restaurants, nightclubs, and high 262 00:14:29,120 --> 00:14:32,520 Speaker 1: end stores, sometimes to their cars, sometimes tailed all the 263 00:14:32,560 --> 00:14:35,920 Speaker 1: way home, and robbed at gunpoint. It was after this 264 00:14:36,120 --> 00:14:38,680 Speaker 1: November twenty twenty one robbery and murder of a man 265 00:14:38,800 --> 00:14:42,240 Speaker 1: named Jose Ruiz in Hollywood that the LAPD announced the 266 00:14:42,240 --> 00:14:45,360 Speaker 1: Task Force, more than a dozen detectives would work out 267 00:14:45,360 --> 00:14:49,119 Speaker 1: of the Robbery Homicide Division Downtown to focus on disrupting 268 00:14:49,160 --> 00:14:52,840 Speaker 1: the criminal groups responsible for the holdups and arresting as 269 00:14:52,880 --> 00:14:56,080 Speaker 1: many participants as possible. No doubt that we've seen the 270 00:14:56,480 --> 00:15:00,400 Speaker 1: disruption of these individuals that are conducting the robberies, LPD 271 00:15:00,520 --> 00:15:03,160 Speaker 1: Captain Kirk Kelly told the I team last year. The 272 00:15:03,280 --> 00:15:06,800 Speaker 1: task Force detectives not only went after people identified after 273 00:15:06,840 --> 00:15:09,520 Speaker 1: a crime, but they helped a stake out areas from 274 00:15:09,520 --> 00:15:12,400 Speaker 1: where people had been followed to try to spot robbers 275 00:15:12,480 --> 00:15:15,280 Speaker 1: ahead of time. He says there was never evidence that 276 00:15:15,360 --> 00:15:18,080 Speaker 1: the trend of these holdups that took place across the 277 00:15:18,120 --> 00:15:21,600 Speaker 1: city and in Beverly Hills were being coordinated or planned. 278 00:15:21,760 --> 00:15:25,360 Speaker 1: There doesn't appear to be any criminal mastermind that's at 279 00:15:25,440 --> 00:15:27,960 Speaker 1: play here. It just seems to be individuals that see 280 00:15:27,960 --> 00:15:30,520 Speaker 1: a quick fifteen minutes they can follow someone home when 281 00:15:30,560 --> 00:15:33,320 Speaker 1: they've seen them, typically with a like a fancy watch 282 00:15:33,360 --> 00:15:36,640 Speaker 1: like a Rolex, or a very expensive handbag that someone's 283 00:15:36,680 --> 00:15:40,680 Speaker 1: caring and getting into a high end luxury vehicle. At 284 00:15:40,720 --> 00:15:43,880 Speaker 1: least one hundred twenty five arrests were made. Prosecutors have 285 00:15:43,960 --> 00:15:48,080 Speaker 1: filed dozens of felony cases, including some murder, attempted murder, 286 00:15:48,120 --> 00:15:51,480 Speaker 1: and kidnapping charges. One notable case that seemed to fit 287 00:15:51,520 --> 00:15:54,520 Speaker 1: the pattern was the October twenty twenty one break in 288 00:15:54,600 --> 00:15:57,920 Speaker 1: and robbery at the Encino Hills home of Real Housewives 289 00:15:57,920 --> 00:16:01,120 Speaker 1: of Beverly hillstar to Reet Kem's, part of which was 290 00:16:01,160 --> 00:16:04,640 Speaker 1: recorded on security video. As of this week, none of 291 00:16:04,640 --> 00:16:07,560 Speaker 1: the men who took part have been arrested for this crime. 292 00:16:07,800 --> 00:16:10,080 Speaker 1: More than a dozen detectives who have been working on 293 00:16:10,160 --> 00:16:13,120 Speaker 1: these cases are now returning to regular assignment. So if 294 00:16:13,120 --> 00:16:15,920 Speaker 1: there are any new follow home cases that fit this profile, 295 00:16:16,160 --> 00:16:19,840 Speaker 1: they'll most likely be handled by neighborhood detectives, right, Terrik 296 00:16:19,920 --> 00:16:22,560 Speaker 1: Leonard from NBC four. I mean, here's what I got 297 00:16:22,560 --> 00:16:25,040 Speaker 1: out of that. That what they did was they went 298 00:16:25,080 --> 00:16:27,440 Speaker 1: and arrested these guys and they did a real focus, 299 00:16:27,520 --> 00:16:31,040 Speaker 1: concentrated effort to stop this follow home thing that was 300 00:16:31,040 --> 00:16:32,560 Speaker 1: going on. I remember was a big story a year 301 00:16:32,640 --> 00:16:34,600 Speaker 1: or two ago, as you heard Eric say, and the report, 302 00:16:35,080 --> 00:16:38,240 Speaker 1: and what they decided to do was focus police resources 303 00:16:38,280 --> 00:16:40,400 Speaker 1: on it, although they did say it was not the 304 00:16:40,400 --> 00:16:42,560 Speaker 1: work of a criminal mastermind. You go back a couple 305 00:16:42,560 --> 00:16:44,320 Speaker 1: of years before that, remember the big thing was the 306 00:16:44,400 --> 00:16:48,000 Speaker 1: knock knock burglaries that people would knock on your door 307 00:16:48,360 --> 00:16:50,080 Speaker 1: and if they didn't get an answer, they would just 308 00:16:50,080 --> 00:16:52,320 Speaker 1: bust in and take everybody really quickly and drive off. 309 00:16:52,360 --> 00:16:54,800 Speaker 1: That was the work of organized gangs. This looks like 310 00:16:54,840 --> 00:16:57,520 Speaker 1: it was just the work of dopey individuals who saw 311 00:16:57,560 --> 00:17:00,680 Speaker 1: an opportunity. Well, so they watched TV and they see 312 00:17:00,680 --> 00:17:04,680 Speaker 1: what someone else is doing and grabbed the guys watch 313 00:17:04,720 --> 00:17:06,680 Speaker 1: off the street. I could do that and it's easy work. 314 00:17:06,760 --> 00:17:10,560 Speaker 1: So he does until all of them have been arrested 315 00:17:11,160 --> 00:17:13,199 Speaker 1: and there because I mean, you could. You could do 316 00:17:13,240 --> 00:17:17,400 Speaker 1: this forever, because there aren't that many cops out there, 317 00:17:18,119 --> 00:17:20,960 Speaker 1: right and there aren't laws that put you away for 318 00:17:21,119 --> 00:17:23,879 Speaker 1: very long. So it is a good way to make 319 00:17:23,920 --> 00:17:26,480 Speaker 1: a living. I just wonder why did it stop, Like 320 00:17:26,560 --> 00:17:29,520 Speaker 1: it exhausted the pool of people willing to do this. 321 00:17:30,760 --> 00:17:34,000 Speaker 1: You're missing my point. They organized a task force, they 322 00:17:34,080 --> 00:17:36,879 Speaker 1: concentrated on the problem. They started arresting these guys, and 323 00:17:36,960 --> 00:17:39,800 Speaker 1: now the story wasn't oh this is easy prey, I 324 00:17:39,800 --> 00:17:42,080 Speaker 1: could steal that guy's watch, and looks like everybody's getting 325 00:17:42,080 --> 00:17:45,080 Speaker 1: away with it. Suddenly, as the robberies dropped, the stories drop, 326 00:17:45,119 --> 00:17:47,719 Speaker 1: and then they find out that their buddies are no 327 00:17:47,800 --> 00:17:51,160 Speaker 1: longer successfully ripping off people on the streets because there's 328 00:17:51,200 --> 00:17:53,439 Speaker 1: a task for our task force out there that can 329 00:17:53,520 --> 00:17:55,600 Speaker 1: keep an eye on them. I think that just causes 330 00:17:55,640 --> 00:17:57,520 Speaker 1: a lot of the criminals to say, I'll find another 331 00:17:57,520 --> 00:17:59,880 Speaker 1: way to I wonder how they found these guys because 332 00:18:00,119 --> 00:18:02,359 Speaker 1: the videos, you know, they're all wearing black hoods and 333 00:18:02,400 --> 00:18:05,639 Speaker 1: black masks, and yeah it said here. I think Eric 334 00:18:05,720 --> 00:18:07,639 Speaker 1: said in there that some of it was steakouts and 335 00:18:07,680 --> 00:18:09,840 Speaker 1: stuff like that that they went to places where and 336 00:18:10,000 --> 00:18:12,720 Speaker 1: maybe they just caught people that they started hanging out 337 00:18:12,400 --> 00:18:17,320 Speaker 1: of wealthy jewelry stores in front of expansive restaurants. Yeah. 338 00:18:17,359 --> 00:18:20,320 Speaker 1: I mean one hundred and twenty five arrests tied to 339 00:18:20,400 --> 00:18:24,040 Speaker 1: follow home cases just since December of twenty twenty one. 340 00:18:24,520 --> 00:18:27,439 Speaker 1: The problem I have, of course, is prosecutors have filed 341 00:18:27,560 --> 00:18:30,040 Speaker 1: dozens of serious and violent felony cases. But because it 342 00:18:30,080 --> 00:18:35,120 Speaker 1: all goes back to gascon, how serious are these things? Right? Well, yeah, 343 00:18:35,119 --> 00:18:37,720 Speaker 1: it'll take crime very seriously at all. That's the thing. 344 00:18:37,760 --> 00:18:41,480 Speaker 1: If they all get released, they might decide, you know, 345 00:18:41,520 --> 00:18:44,239 Speaker 1: that wasn't much of a punishment. Yeah. I noticed there 346 00:18:44,320 --> 00:18:46,879 Speaker 1: was definitely gonna drop off. I mean I watched some 347 00:18:46,960 --> 00:18:50,840 Speaker 1: of the local news like you do, and I noticed, 348 00:18:50,880 --> 00:18:53,440 Speaker 1: and I read all the reports that there were definitely 349 00:18:53,520 --> 00:18:56,280 Speaker 1: less of these. This was going on big time in 350 00:18:56,320 --> 00:18:59,119 Speaker 1: twenty twenty and twenty twenty one, and Christmas time in 351 00:18:59,119 --> 00:19:01,960 Speaker 1: twenty twenty one. Yeah, there was so many people getting 352 00:19:02,000 --> 00:19:04,399 Speaker 1: ripped off of their watches. I remember the people that 353 00:19:04,440 --> 00:19:06,400 Speaker 1: were eating at the outdoor restaurant and they all got 354 00:19:06,560 --> 00:19:08,679 Speaker 1: robbed a gunpoint of all their belongings was why they 355 00:19:08,720 --> 00:19:11,280 Speaker 1: were sitting there eating what if it's relatively few people 356 00:19:11,359 --> 00:19:13,760 Speaker 1: can being the same crimes over and over again, because 357 00:19:13,760 --> 00:19:17,359 Speaker 1: that's usually what all the research has shown. It's a 358 00:19:17,440 --> 00:19:19,399 Speaker 1: small it's a small number of people, and if you 359 00:19:19,400 --> 00:19:22,200 Speaker 1: put them away, crime really is going to disappear. That's 360 00:19:22,200 --> 00:19:25,399 Speaker 1: what's so frustrating about all these stupid, stupid policies. You 361 00:19:25,440 --> 00:19:27,560 Speaker 1: don't have to put that many people in prison, you 362 00:19:27,600 --> 00:19:31,040 Speaker 1: don't have to build that many prisons. It's the same 363 00:19:31,119 --> 00:19:33,159 Speaker 1: guys over and over again. That's their job. They go 364 00:19:33,160 --> 00:19:35,959 Speaker 1: to work every day and they steal stuff. Yeah, I 365 00:19:36,000 --> 00:19:38,520 Speaker 1: just believe the crime often cycles. It's like the knock 366 00:19:38,600 --> 00:19:41,200 Speaker 1: knock thing kind of faded off now the follow home thing. 367 00:19:41,240 --> 00:19:44,639 Speaker 1: But with a da like gas going in California's policies, 368 00:19:44,880 --> 00:19:46,720 Speaker 1: we're not going to completely cycle out of this to 369 00:19:46,800 --> 00:19:50,199 Speaker 1: a really low low crime PEP. I wonder why the 370 00:19:50,240 --> 00:19:53,920 Speaker 1: cycles happen though. Is it just copycat from news coverage? 371 00:19:54,359 --> 00:19:57,800 Speaker 1: I don't know. I don't know what it is. So 372 00:19:57,840 --> 00:19:59,720 Speaker 1: what are these guys doing today, all these guys who 373 00:19:59,760 --> 00:20:03,120 Speaker 1: got busted for a rude You would also tamped down 374 00:20:03,119 --> 00:20:05,320 Speaker 1: the smashing grabs kind of tamped down too, Remember that 375 00:20:05,359 --> 00:20:08,480 Speaker 1: was a big story two in twenty twenty one. Yeah, 376 00:20:08,560 --> 00:20:10,560 Speaker 1: all right, we got more coming up. John and Ken 377 00:20:10,640 --> 00:20:14,320 Speaker 1: kf I AM six forty. We're live everywhere the iHeartRadio app. 378 00:20:15,359 --> 00:20:18,679 Speaker 1: You're listening to John and Ken on demand from kf 379 00:20:18,680 --> 00:20:23,640 Speaker 1: I AM sixty. We're rolling right into the massive three 380 00:20:23,680 --> 00:20:26,119 Speaker 1: o'clock hour. We will begin by taking a look at 381 00:20:26,200 --> 00:20:31,080 Speaker 1: California's new San Quentin. It's gonna be Scandinavian style. They'll 382 00:20:31,119 --> 00:20:35,040 Speaker 1: be serving Scandinavian pastries and treats for the prisoners. Anyway, 383 00:20:35,040 --> 00:20:37,920 Speaker 1: it's a makeover. Alex Stone as the details. We talked 384 00:20:37,920 --> 00:20:40,520 Speaker 1: about this yesterday based on an Elsa Goundo time story, 385 00:20:40,560 --> 00:20:43,240 Speaker 1: but today NUSA made a show of it in front 386 00:20:43,280 --> 00:20:47,280 Speaker 1: of the media. The makeover of San Quentin what Scandinavian 387 00:20:47,320 --> 00:20:49,639 Speaker 1: style means. It's going to be softer. The emphasis is 388 00:20:49,680 --> 00:20:52,840 Speaker 1: more on getting the prisoners to just sort of live 389 00:20:52,840 --> 00:20:56,600 Speaker 1: a normal life. Well, but I noticed there was a 390 00:20:56,640 --> 00:20:59,520 Speaker 1: little asterisk in one of these stories. All the real 391 00:20:59,680 --> 00:21:03,280 Speaker 1: violent guys are being moved somewhere else. Oh, they're gonna 392 00:21:03,280 --> 00:21:07,639 Speaker 1: put the low end prisoners in terms of danger, remember 393 00:21:07,680 --> 00:21:12,399 Speaker 1: those state prisons and Saint Quentin. That's pretty serious crap. Yeah, well, 394 00:21:12,400 --> 00:21:14,800 Speaker 1: who would be these low end prisoners. They lie to 395 00:21:14,840 --> 00:21:16,720 Speaker 1: us all the time about oh, it's only serious non 396 00:21:16,800 --> 00:21:19,879 Speaker 1: violent offenders. Yes, they get into state prison. You have 397 00:21:19,920 --> 00:21:22,600 Speaker 1: to be on the felon category. And I think it's 398 00:21:22,720 --> 00:21:24,840 Speaker 1: pretty ugly with most of the cases. Yeah, yeah, I 399 00:21:25,359 --> 00:21:29,080 Speaker 1: knows everything's pled down theybe maybe I don't know. Remember 400 00:21:29,119 --> 00:21:32,920 Speaker 1: what's on their record isn't necessarily what they did, but 401 00:21:33,680 --> 00:21:37,439 Speaker 1: exactly there there was. Because everybody's wondering, you know, like, 402 00:21:37,440 --> 00:21:39,160 Speaker 1: what are you gonna do with the death row prisoners? 403 00:21:41,560 --> 00:21:45,000 Speaker 1: I don't know? All right, Well, maybe Alex has some answers. Also, 404 00:21:45,040 --> 00:21:50,040 Speaker 1: what is a felony in Scandinavia? People are killed? Huh? 405 00:21:50,080 --> 00:21:52,199 Speaker 1: Would that be like, well, the Norwegian guy killed all 406 00:21:52,200 --> 00:21:54,840 Speaker 1: those school children years ago. Yeah, but that that was 407 00:21:55,200 --> 00:21:57,680 Speaker 1: an extreme exception. You can't build a whole prison around 408 00:21:57,760 --> 00:22:03,159 Speaker 1: one guy. There's probably thieves and probably stuff like cutting 409 00:22:03,160 --> 00:22:09,280 Speaker 1: in line. You have such stereotypes about the entire world, 410 00:22:09,440 --> 00:22:13,879 Speaker 1: and I'm right, Scandinavians are boring, pleasant people cut in 411 00:22:13,880 --> 00:22:16,560 Speaker 1: line at the bakery and next thing you know, you're 412 00:22:16,600 --> 00:22:19,879 Speaker 1: in prison. Well we turned back to the world of 413 00:22:20,000 --> 00:22:24,440 Speaker 1: COVID and wow, what a shocker. This is the Chinese 414 00:22:24,440 --> 00:22:26,760 Speaker 1: and the world Health organization are now trying to tell 415 00:22:26,840 --> 00:22:28,920 Speaker 1: us and this just can't be a coincidence considering the 416 00:22:28,960 --> 00:22:31,680 Speaker 1: big story a couple of weeks ago is that there 417 00:22:31,760 --> 00:22:34,199 Speaker 1: seemed to be evidence, according to the FBI and the 418 00:22:34,240 --> 00:22:36,840 Speaker 1: Department of Energy, that the virus came from a lab. 419 00:22:37,359 --> 00:22:40,320 Speaker 1: Now the Chinese, you're saying, oh, no, we've got data. 420 00:22:40,520 --> 00:22:44,240 Speaker 1: It's possible that it all started at the Wuhan market 421 00:22:44,280 --> 00:22:48,760 Speaker 1: with a raccoon dog. Well, they just discovered this after 422 00:22:48,840 --> 00:22:54,320 Speaker 1: three years. Well the WHO guy playing his party, yea, 423 00:22:54,480 --> 00:22:59,399 Speaker 1: the Who, the World Health Organization? He what's his name now? 424 00:22:59,520 --> 00:23:04,159 Speaker 1: Ted Saddam and Giberacius. He said that they should have 425 00:23:04,160 --> 00:23:05,919 Speaker 1: told us as three years ago. He criticized trying to 426 00:23:05,920 --> 00:23:08,639 Speaker 1: for not sharing this information earlier. Look at that they had, 427 00:23:08,680 --> 00:23:12,720 Speaker 1: they knew all the time. Now now, a raccoon dogs, 428 00:23:13,040 --> 00:23:15,840 Speaker 1: it's incredible. If you look at the pictures, it is 429 00:23:15,880 --> 00:23:18,920 Speaker 1: a dog, but that is quite the raccoon face. I 430 00:23:18,960 --> 00:23:21,560 Speaker 1: would not pick that out as a dog. But they 431 00:23:21,600 --> 00:23:26,959 Speaker 1: are actually canines. That is their genetics. They came from Japan, 432 00:23:29,520 --> 00:23:33,320 Speaker 1: known as tanuki or Japanese raccoon dog. Their native to 433 00:23:33,359 --> 00:23:37,040 Speaker 1: the forests of eastern Siberia, northern China, North Vietnam, Korea, 434 00:23:37,080 --> 00:23:43,520 Speaker 1: and Japan. So this story is saying that basically, and 435 00:23:43,600 --> 00:23:47,639 Speaker 1: it's it's other experts have not verified the analysis, so unverified, 436 00:23:47,800 --> 00:23:51,760 Speaker 1: not peer reviewed. This is China. They had this genetic 437 00:23:51,840 --> 00:23:54,480 Speaker 1: data for three years and this is damage control and 438 00:23:54,560 --> 00:23:57,560 Speaker 1: now suddenly it's being released and it's you have to 439 00:23:58,040 --> 00:24:01,520 Speaker 1: read the wording very carefully. They found raccoon dog DNA 440 00:24:01,680 --> 00:24:05,399 Speaker 1: com mingled with the virus, suggesting the pandemic may have 441 00:24:05,480 --> 00:24:09,920 Speaker 1: originated from animals, not a lab. But even the experts 442 00:24:09,920 --> 00:24:11,680 Speaker 1: in this story say where we're a long way from 443 00:24:11,680 --> 00:24:14,880 Speaker 1: proving that. There's many reasons that that could have been 444 00:24:14,880 --> 00:24:20,520 Speaker 1: the case. That they found virus commingled. So apparently a 445 00:24:20,600 --> 00:24:24,000 Speaker 1: French biologist spotted it by chance. It was in a 446 00:24:24,040 --> 00:24:30,280 Speaker 1: genetic sequence that was uploaded to the world's biggest public 447 00:24:30,359 --> 00:24:37,920 Speaker 1: virus database, and Chinese scientists just did that, really and 448 00:24:37,960 --> 00:24:40,840 Speaker 1: then it was removed. But a French biologist spotted the 449 00:24:40,880 --> 00:24:45,080 Speaker 1: information and shared it with a group of scientists based 450 00:24:45,119 --> 00:24:47,919 Speaker 1: outside of China. Yeah. I don't believe this is this 451 00:24:48,000 --> 00:24:50,640 Speaker 1: is Chinese propaganda, but you know it's funny. I first 452 00:24:50,640 --> 00:24:53,800 Speaker 1: noticed this in Atlantic magazine this morning. Atlantic magazine has 453 00:24:53,840 --> 00:24:56,160 Speaker 1: some poor woman assigned to the COVID beat and she's 454 00:24:56,160 --> 00:24:59,320 Speaker 1: written story. Yeah, her name is Catherine Wu, and she's 455 00:24:59,800 --> 00:25:03,920 Speaker 1: she's crying for anything else. She's been writing scary COVID 456 00:25:04,000 --> 00:25:07,840 Speaker 1: stories like several times a week for three years. And 457 00:25:07,920 --> 00:25:11,520 Speaker 1: it's hysterical because she keeps took that trio. They also, 458 00:25:11,560 --> 00:25:13,680 Speaker 1: Gunda Times had a trio of writers that they were 459 00:25:14,080 --> 00:25:16,000 Speaker 1: remember one of them was wrong Gong the second. Yeah, 460 00:25:16,040 --> 00:25:18,159 Speaker 1: he was writing all the scare stories for years. And 461 00:25:18,640 --> 00:25:22,080 Speaker 1: she's desperately finding all the bizarre ways that you can 462 00:25:22,119 --> 00:25:25,200 Speaker 1: catch COVID and all the strange symptoms and all just 463 00:25:25,480 --> 00:25:27,840 Speaker 1: all the horror movie stuff. Right, she'd go for it. 464 00:25:27,880 --> 00:25:30,480 Speaker 1: And I noticed today they always put her prominently on top. 465 00:25:30,880 --> 00:25:34,640 Speaker 1: Because Atlantic's left wing magazine, so we know that from 466 00:25:34,640 --> 00:25:38,520 Speaker 1: the from the studies is that there's a certain group 467 00:25:38,960 --> 00:25:41,439 Speaker 1: of left wing people who can't let go of the virus, 468 00:25:41,680 --> 00:25:44,000 Speaker 1: can't let go the masks, can't let go of the fight, 469 00:25:44,320 --> 00:25:46,919 Speaker 1: you know. So No, in fact, there was a great 470 00:25:47,119 --> 00:25:48,879 Speaker 1: piece in the National Review. We just didn't get a 471 00:25:49,000 --> 00:25:50,960 Speaker 1: chance to get to it where the author is saying, 472 00:25:51,000 --> 00:25:54,280 Speaker 1: those people don't want to go back to pre pandemic 473 00:25:54,359 --> 00:25:57,359 Speaker 1: because they don't like the phrase returned to normal because 474 00:25:57,359 --> 00:26:00,360 Speaker 1: they thought, you know, the George Floyd beating that's old 475 00:26:00,440 --> 00:26:03,959 Speaker 1: racist America, right, actually stuck in that mode. Yeah. So 476 00:26:04,160 --> 00:26:06,880 Speaker 1: oh well, once COVID came and then we had the 477 00:26:06,880 --> 00:26:09,480 Speaker 1: the the great what do people call it when you're 478 00:26:09,520 --> 00:26:15,720 Speaker 1: having a moment of reckoning, the racial reckoning, Well we 479 00:26:15,760 --> 00:26:18,200 Speaker 1: go back to unmasking. We're going back to those times 480 00:26:18,240 --> 00:26:20,879 Speaker 1: before the racial reckoning. I don't want that, right, That 481 00:26:20,960 --> 00:26:23,280 Speaker 1: was a pretty good opportnity head you put it together. Yeah, 482 00:26:23,320 --> 00:26:25,800 Speaker 1: if if if people walk around without masks, next thing, 483 00:26:25,800 --> 00:26:31,720 Speaker 1: you know, the police are beating up, r goes hand 484 00:26:30,800 --> 00:26:34,040 Speaker 1: and handle. It really does for the crazy people, it does. 485 00:26:35,080 --> 00:26:37,640 Speaker 1: So But so she writes the stuff and I saw 486 00:26:37,680 --> 00:26:40,800 Speaker 1: this today and I'm I'm looking at Okay, what's the 487 00:26:40,840 --> 00:26:43,600 Speaker 1: catch here? This is just the timing of this coming 488 00:26:43,680 --> 00:26:47,840 Speaker 1: right after we found out that the FBI reinforced their 489 00:26:47,920 --> 00:26:50,920 Speaker 1: belief that COVID came from the lab and they did 490 00:26:50,920 --> 00:26:53,280 Speaker 1: the Department of Energy with this story. You knew the 491 00:26:53,359 --> 00:26:55,440 Speaker 1: Chinese had to respond, right, And of course when I 492 00:26:55,720 --> 00:26:57,520 Speaker 1: would jump on this first, it was one of those 493 00:26:57,640 --> 00:27:02,200 Speaker 1: articles like c C here's my question. I mean if 494 00:27:02,240 --> 00:27:04,160 Speaker 1: it started in a lab and then it got out 495 00:27:04,160 --> 00:27:05,879 Speaker 1: of the lab from the people that were working in 496 00:27:05,920 --> 00:27:08,119 Speaker 1: the lab, and it started to infect the Wuhan public, 497 00:27:08,320 --> 00:27:11,240 Speaker 1: it could have eventually infected the raccoon dog at the 498 00:27:11,280 --> 00:27:14,960 Speaker 1: Wuhan market. I mean, but this is they don't know 499 00:27:15,000 --> 00:27:17,600 Speaker 1: the order of this. It's not proved, it's not provable. 500 00:27:17,840 --> 00:27:22,600 Speaker 1: They're just putting out a counter story manipulating the American media, 501 00:27:22,680 --> 00:27:27,200 Speaker 1: which is filled with these progressives who have emotionally invested 502 00:27:27,280 --> 00:27:31,040 Speaker 1: in the virus coming from an animal and not the lab. 503 00:27:31,160 --> 00:27:33,280 Speaker 1: And I don't know why. There's another thing. I asked 504 00:27:33,320 --> 00:27:35,119 Speaker 1: why all the time, and nobody gives me an answer. 505 00:27:35,320 --> 00:27:39,359 Speaker 1: Why why if you're a journalist, are you emotionally invested 506 00:27:39,480 --> 00:27:42,600 Speaker 1: in the animal transmission instead of the lab transmission. What 507 00:27:42,640 --> 00:27:49,240 Speaker 1: do you care? No answers. What do you think raccoon 508 00:27:49,280 --> 00:27:52,640 Speaker 1: dog tastes like? Oh, come on, well they's they sell 509 00:27:52,680 --> 00:27:55,080 Speaker 1: it at the market. Yeah, that's why, that's why it's there. 510 00:27:55,480 --> 00:27:58,639 Speaker 1: People take it, yes, remember it. But the importance of 511 00:27:58,680 --> 00:28:00,840 Speaker 1: a live animal market is that you're you're sure the 512 00:28:00,840 --> 00:28:03,280 Speaker 1: animals fresh right, it gets killed right in front of you. Yeah. 513 00:28:03,600 --> 00:28:06,800 Speaker 1: I think that's just hanging up to some people who 514 00:28:06,840 --> 00:28:09,640 Speaker 1: consume good for them. I will you will never see 515 00:28:09,680 --> 00:28:13,960 Speaker 1: me even walking by one of those players. Well, no, 516 00:28:14,480 --> 00:28:18,240 Speaker 1: I'm not says here. I'm right. It says it's also 517 00:28:18,280 --> 00:28:20,920 Speaker 1: possible humans brought the virus to the market and infected 518 00:28:20,920 --> 00:28:24,280 Speaker 1: the raccoon dogs. See, so we have no idea. Now 519 00:28:24,359 --> 00:28:28,280 Speaker 1: it's propaganda. It's like George Gascone saying his employees, you're 520 00:28:28,280 --> 00:28:32,639 Speaker 1: getting assaulted. What was that other creature, John, that they 521 00:28:32,680 --> 00:28:35,960 Speaker 1: originally thought. I know it's the pangul and I couldn't 522 00:28:36,000 --> 00:28:37,760 Speaker 1: think of that name. We started with bats, but we left, 523 00:28:37,800 --> 00:28:41,480 Speaker 1: We left the bat theory. Yeah, and who eats bats? 524 00:28:41,840 --> 00:28:46,080 Speaker 1: Remember how worked up John was the bats. We had 525 00:28:46,120 --> 00:28:48,200 Speaker 1: that picture of the people being served bats soup, and 526 00:28:48,200 --> 00:28:51,160 Speaker 1: there was like a bat perched on a dead bat 527 00:28:51,160 --> 00:28:53,120 Speaker 1: perched on the ball. You know where they're bats up 528 00:28:53,120 --> 00:28:56,880 Speaker 1: at Lake Garrahead. There's one time we took a walk 529 00:28:56,920 --> 00:28:59,360 Speaker 1: around the lake and the lake had shrunk. This is 530 00:28:59,360 --> 00:29:02,240 Speaker 1: a long time from it was another drought, right, and 531 00:29:02,400 --> 00:29:04,760 Speaker 1: we're walking around the lake just at sunset. And I 532 00:29:04,800 --> 00:29:06,600 Speaker 1: didn't know all the bats come out of the trees 533 00:29:06,640 --> 00:29:09,720 Speaker 1: at sunset. They could they could look like birds at first. 534 00:29:09,760 --> 00:29:12,520 Speaker 1: Oh yeah, no, you heard him fluttering right over your head. 535 00:29:12,920 --> 00:29:15,960 Speaker 1: I was freaking out because I'm thinking rabies. This is 536 00:29:16,000 --> 00:29:19,160 Speaker 1: pre COVID, so they were. They were remarkable creatures too, 537 00:29:19,160 --> 00:29:21,080 Speaker 1: if you ever researched them. I mean they're mammals like 538 00:29:21,120 --> 00:29:23,440 Speaker 1: we are. They are kind of They were remarkable. They 539 00:29:23,520 --> 00:29:29,120 Speaker 1: spook me. We got more coming up, John and Ken 540 00:29:29,160 --> 00:29:31,720 Speaker 1: KF I am six forty. We're live everywhere the iHeartRadio 541 00:29:31,760 --> 00:29:35,080 Speaker 1: out anything that hangs upside down. You're listening to John 542 00:29:35,080 --> 00:29:42,120 Speaker 1: and Ken on demand from KF. I. Wait, I just 543 00:29:42,120 --> 00:29:44,440 Speaker 1: got a spam voicemail that I'm eligible for some sort 544 00:29:44,440 --> 00:29:47,440 Speaker 1: of roofing deal. I gotta call him back, Saygan a 545 00:29:47,600 --> 00:29:50,920 Speaker 1: roofing deal. Wow, you're not getting any more mortgage calls 546 00:29:50,920 --> 00:29:55,040 Speaker 1: though it was funny, Faded. No, I have gone through 547 00:29:55,080 --> 00:29:59,040 Speaker 1: the trouble of blocking and deleting every one of these calls, 548 00:29:59,120 --> 00:30:01,520 Speaker 1: and so now they they're down to a trickle. I 549 00:30:01,520 --> 00:30:03,960 Speaker 1: think I only got about three today. Good for you. 550 00:30:04,480 --> 00:30:07,160 Speaker 1: After three o'clock we'll get into the details of the 551 00:30:07,280 --> 00:30:11,240 Speaker 1: makeover at San Quentin. Governor Dippity Doo made a big 552 00:30:11,280 --> 00:30:14,520 Speaker 1: media show today to explain that san Quentin is going 553 00:30:14,560 --> 00:30:18,160 Speaker 1: to be a different place. It'll be modeled after Scandinavian prisons. 554 00:30:18,640 --> 00:30:20,360 Speaker 1: They also gonna know times that a story on this 555 00:30:20,440 --> 00:30:23,240 Speaker 1: that we talked about yesterday. They went to Pennsylvania to 556 00:30:23,240 --> 00:30:25,760 Speaker 1: see an example of this, and basically it's a very 557 00:30:25,760 --> 00:30:29,200 Speaker 1: pleasant environment. It almost looks like a hotel lobby. Of course, 558 00:30:29,200 --> 00:30:32,600 Speaker 1: there's couches and chairs, and guys were playing chess and talking, 559 00:30:32,720 --> 00:30:35,560 Speaker 1: and they can go out and get groceries and try 560 00:30:35,600 --> 00:30:38,840 Speaker 1: to live like they're just not really in prison, although 561 00:30:38,880 --> 00:30:40,960 Speaker 1: they don't have all the freedom to leave the grounds, 562 00:30:41,040 --> 00:30:44,960 Speaker 1: but they move around like they're just at home. And 563 00:30:45,080 --> 00:30:47,400 Speaker 1: the theory is they'll be better people when they come out. 564 00:30:47,920 --> 00:30:50,160 Speaker 1: John's answer is don't let them out. No, don't let 565 00:30:50,200 --> 00:30:53,320 Speaker 1: them out. That is so easy and it would work. 566 00:30:54,120 --> 00:30:56,640 Speaker 1: But I don't know did the stories say the Pennsylvania 567 00:30:56,720 --> 00:30:59,080 Speaker 1: Scandinavian prisons working, because you're saying this is only going 568 00:30:59,120 --> 00:31:02,280 Speaker 1: to work with Scandinavia people. But I didn't see if 569 00:31:02,280 --> 00:31:05,680 Speaker 1: they have daity yet to show the recipivism as much 570 00:31:05,760 --> 00:31:09,440 Speaker 1: lower there after they've installed the Scandinavie style prisons. We 571 00:31:09,600 --> 00:31:11,600 Speaker 1: both lived in Pennsylvania. You know what they have there, 572 00:31:11,600 --> 00:31:14,960 Speaker 1: and they have a lot of Amish Mennonites. Jeez, I 573 00:31:15,000 --> 00:31:18,000 Speaker 1: don't know. Well, I forget what part of Pennsylvania this was, 574 00:31:18,080 --> 00:31:26,920 Speaker 1: but it wasn't Philly, but I Mennonite territory. There's no 575 00:31:26,960 --> 00:31:31,480 Speaker 1: beating you. No, you chase him, he keeps running. It's 576 00:31:31,520 --> 00:31:35,000 Speaker 1: just like he's got something else up a sleeve. Uh. 577 00:31:35,400 --> 00:31:37,200 Speaker 1: We got an update on a monkey in a minute, 578 00:31:37,480 --> 00:31:41,920 Speaker 1: and we were just talking about raccoon dogs this quick story, 579 00:31:42,360 --> 00:31:46,280 Speaker 1: which I half expected. The whole COVID thing is really 580 00:31:46,680 --> 00:31:49,440 Speaker 1: really ramping down now. It was just Barbara Ferrera left 581 00:31:49,440 --> 00:31:51,560 Speaker 1: with her mask on. It's talking to a room of 582 00:31:51,600 --> 00:31:55,720 Speaker 1: like two reporters. It's inappropriate. They're still issuing the daily 583 00:31:55,800 --> 00:32:00,480 Speaker 1: numbers for COVID. People are still dying, John. Uh, they 584 00:32:00,480 --> 00:32:05,080 Speaker 1: were dying before COVID too, surprise, surprise. Guess what else 585 00:32:05,200 --> 00:32:10,040 Speaker 1: is going away long COVID. I was always suspicious about 586 00:32:10,080 --> 00:32:13,280 Speaker 1: long COVID. I thought some of it might be mental. 587 00:32:13,720 --> 00:32:16,680 Speaker 1: I did too, That's what I believe. I think a 588 00:32:16,680 --> 00:32:18,520 Speaker 1: lot of it is. Well. I mean, look at the hysterio. 589 00:32:18,560 --> 00:32:20,720 Speaker 1: It is still going on, right with all the mask 590 00:32:20,800 --> 00:32:24,520 Speaker 1: calls still. I mean, can you imagine if a mask 591 00:32:24,560 --> 00:32:26,480 Speaker 1: call ever got COVID. Yes, I think it would turn 592 00:32:26,520 --> 00:32:28,760 Speaker 1: into the I remember when I was, When I was 593 00:32:29,120 --> 00:32:31,800 Speaker 1: a kid, I just the idea of a psychosomatic illness 594 00:32:31,920 --> 00:32:34,680 Speaker 1: never made any sense to me. I just didn't believe it, right, right, 595 00:32:34,840 --> 00:32:36,840 Speaker 1: like nobody wants to be sick. Why would these people 596 00:32:36,880 --> 00:32:39,600 Speaker 1: like imagine that they're sack or talk to meout? Oh? 597 00:32:39,640 --> 00:32:42,800 Speaker 1: Then I read about Munchhausens and I learned, yes, right, 598 00:32:43,880 --> 00:32:47,440 Speaker 1: that guy was brilliant. Whereever is doctor Munchause. Doctor Munchausen 599 00:32:47,880 --> 00:32:52,160 Speaker 1: is that that people will fake severe illnesses in order 600 00:32:52,200 --> 00:32:54,680 Speaker 1: to get the attention. Well, they will inflict them on 601 00:32:54,800 --> 00:32:57,840 Speaker 1: like their children, right, so that the sympathy also comes 602 00:32:57,880 --> 00:33:00,480 Speaker 1: to them. Right, and then my son is always sick. 603 00:33:00,640 --> 00:33:02,160 Speaker 1: And now you can make a lot of money with 604 00:33:02,280 --> 00:33:06,480 Speaker 1: fake go fund me pages, Oh answers for your child's 605 00:33:06,520 --> 00:33:09,520 Speaker 1: fake cancer. You might even have a fake child. You 606 00:33:09,560 --> 00:33:11,400 Speaker 1: have a fake child with fake cancer. You put it 607 00:33:11,400 --> 00:33:14,120 Speaker 1: on and go fund me. You make two hundred thousand dollars. 608 00:33:14,760 --> 00:33:17,200 Speaker 1: But you know this, even when you are legitimately sick, 609 00:33:17,640 --> 00:33:19,720 Speaker 1: family members are often very sympathetic. They want to know 610 00:33:19,720 --> 00:33:21,880 Speaker 1: what they can get you. How do you feel some 611 00:33:21,920 --> 00:33:23,840 Speaker 1: people feed off of that that? Right? Is that what 612 00:33:23,880 --> 00:33:26,880 Speaker 1: people do in other families. I never got that. You 613 00:33:27,080 --> 00:33:29,240 Speaker 1: just throw you in a room and shut are you 614 00:33:29,320 --> 00:33:32,400 Speaker 1: stay away from us? You're contagious? That's right, Well, Deborah 615 00:33:32,440 --> 00:33:33,880 Speaker 1: Mark was sick. Didn't you get a lot of sympathy, 616 00:33:33,920 --> 00:33:39,080 Speaker 1: Deborah Mark when you had your COVID? Not that much. Also, 617 00:33:39,120 --> 00:33:42,200 Speaker 1: I think because it was three years after, you know, 618 00:33:42,560 --> 00:33:46,040 Speaker 1: right away old news exactly, nobody really cared. You were 619 00:33:46,200 --> 00:33:48,800 Speaker 1: more like it's about time, right exactly. You were the 620 00:33:48,800 --> 00:33:50,960 Speaker 1: one hundred and tenth million person to get it, So 621 00:33:51,600 --> 00:33:55,800 Speaker 1: everybody was exhausted. So they're looking at this new study 622 00:33:55,840 --> 00:33:58,880 Speaker 1: and finding that it looks like the number of people 623 00:33:59,240 --> 00:34:05,440 Speaker 1: reporting long COVID is diminishing significantly. So they claim it's 624 00:34:05,440 --> 00:34:07,840 Speaker 1: either bits of virus that remain hidden in the body, 625 00:34:08,760 --> 00:34:12,480 Speaker 1: persistent inflammation caused by the coronavirus and autoimmunity when the 626 00:34:12,520 --> 00:34:17,320 Speaker 1: body's own immune system turns on itself, or maybe mental illness. 627 00:34:18,719 --> 00:34:22,600 Speaker 1: The story mentioned that's our you know, says here in 628 00:34:22,680 --> 00:34:24,799 Speaker 1: June nineteen oh I did read a story last year 629 00:34:24,840 --> 00:34:27,799 Speaker 1: supporting the idea that it could be mentally inflicted by 630 00:34:27,840 --> 00:34:32,120 Speaker 1: people who are just having just somebody so much paranoid 631 00:34:32,160 --> 00:34:35,080 Speaker 1: about COVID they can't let go if you didn't have 632 00:34:35,719 --> 00:34:38,879 Speaker 1: a million news stories carrying on about long COVID, how 633 00:34:38,880 --> 00:34:43,879 Speaker 1: many people would have it? That's a good question. Then 634 00:34:44,280 --> 00:34:46,880 Speaker 1: would we know it and actually name it? Right? Yeah? 635 00:34:46,960 --> 00:34:50,040 Speaker 1: How how much is constant repetition in this twenty four 636 00:34:50,080 --> 00:34:53,640 Speaker 1: to seven news media environment? They create these hazards, Like 637 00:34:53,680 --> 00:34:56,359 Speaker 1: we were talking about the smash and grab robberies right right, 638 00:34:56,520 --> 00:34:58,880 Speaker 1: covered heavily. There was all these copycats and then it 639 00:34:58,920 --> 00:35:02,920 Speaker 1: went away. Or the serial killers, I not serial killers, 640 00:35:02,920 --> 00:35:05,200 Speaker 1: but the mass murders. I mean the mass murders to 641 00:35:05,280 --> 00:35:10,000 Speaker 1: some extent are inspired by all the media coverage. Yeah, 642 00:35:10,120 --> 00:35:14,040 Speaker 1: makes you crazy. Now we turned to a monkey story, 643 00:35:14,280 --> 00:35:17,960 Speaker 1: and we have a story out of Oklahoma that you know, 644 00:35:18,800 --> 00:35:23,040 Speaker 1: when when monkeys attack, it can get really vicious. They 645 00:35:23,080 --> 00:35:27,560 Speaker 1: are fast, they are very quick with their moves. The 646 00:35:27,560 --> 00:35:30,080 Speaker 1: picture of this monkey, it's not very big, don't think 647 00:35:30,080 --> 00:35:32,720 Speaker 1: of it. It's not an april or a gorilla. It's 648 00:35:32,760 --> 00:35:35,080 Speaker 1: a monkey. And a lot of people find monkeys very 649 00:35:35,120 --> 00:35:37,759 Speaker 1: cute because they have a very I always wanted one, 650 00:35:37,840 --> 00:35:40,160 Speaker 1: wanted to put a little diaper on it. My sister 651 00:35:40,239 --> 00:35:42,640 Speaker 1: did too, She had a stuffed monkey as one of 652 00:35:42,680 --> 00:35:45,719 Speaker 1: her toys. Yeah, yeah, she did. I think we named 653 00:35:45,760 --> 00:35:48,520 Speaker 1: him Chester, which happens to be John's middle name. I 654 00:35:48,560 --> 00:35:51,839 Speaker 1: was just gonna says to own something that my dad's name. 655 00:35:52,640 --> 00:35:55,319 Speaker 1: That's right, and it's my middle name. Yes, your middle name. 656 00:35:56,120 --> 00:36:01,040 Speaker 1: A pet monkey attacked an Oklahoma woman last weekend. She 657 00:36:01,120 --> 00:36:04,480 Speaker 1: had non life threatening injuries. The cops got a report 658 00:36:04,520 --> 00:36:06,719 Speaker 1: that there was a monkey on someone's front porch. When 659 00:36:06,760 --> 00:36:10,840 Speaker 1: they arrived, they had to call in the Oklahoma Wildlife Department, 660 00:36:11,719 --> 00:36:13,480 Speaker 1: but when they got out of the car, the monkey 661 00:36:13,520 --> 00:36:15,200 Speaker 1: jumped on the back of the police car and then 662 00:36:15,280 --> 00:36:19,560 Speaker 1: ran towards the victim, climbed onto her and apparently began 663 00:36:19,600 --> 00:36:24,719 Speaker 1: to claw at her. The monkey ran up my back, 664 00:36:24,800 --> 00:36:28,480 Speaker 1: jumped onto my head, pulled hair out, then ripped my 665 00:36:28,600 --> 00:36:31,920 Speaker 1: ear in half. Oh, like you would a piece of paper. 666 00:36:32,400 --> 00:36:35,600 Speaker 1: The victim is Brittany Parker. She told this to a 667 00:36:35,680 --> 00:36:40,520 Speaker 1: local television station. Did you see the picture of her 668 00:36:40,600 --> 00:36:42,880 Speaker 1: missing part of her ear? No, I've a picture of 669 00:36:42,880 --> 00:36:45,520 Speaker 1: the monkey. Yeah, now there was that. I had a 670 00:36:45,520 --> 00:36:47,680 Speaker 1: different website last night that had a picture of her, 671 00:36:48,440 --> 00:36:50,600 Speaker 1: like part of her ear missing, like Mike Tyson got 672 00:36:50,600 --> 00:36:54,080 Speaker 1: her like that kind of there's an old story. Did 673 00:36:54,080 --> 00:36:55,600 Speaker 1: he eat did he eat it? Or did he just 674 00:36:55,719 --> 00:36:59,799 Speaker 1: tore it? I think he just tore it. After attacking her, 675 00:36:59,840 --> 00:37:03,400 Speaker 1: he ran into the wooded area. The owners and police 676 00:37:03,440 --> 00:37:07,640 Speaker 1: unsuccessfully tried to track the monkey down. Police warned public 677 00:37:07,719 --> 00:37:10,759 Speaker 1: not to approach the animal. At some point, though, one 678 00:37:10,760 --> 00:37:12,840 Speaker 1: of Parker's family members are out there and shot and 679 00:37:12,920 --> 00:37:15,279 Speaker 1: killed the monkey, and that upsets Deborah Market. Yeah, you 680 00:37:15,280 --> 00:37:17,040 Speaker 1: know what, if you're gonna have to if you're gonna 681 00:37:17,080 --> 00:37:19,680 Speaker 1: have to put down a monkey for attacking people, come on, 682 00:37:19,840 --> 00:37:24,480 Speaker 1: let's let's do it humanely. Oh you mean with drugs? Yeah, exactly. 683 00:37:24,520 --> 00:37:26,520 Speaker 1: I just why do you have to shoot and kill it? 684 00:37:26,560 --> 00:37:29,360 Speaker 1: I mean, it's an animal, you know, it doesn't know better. 685 00:37:29,440 --> 00:37:31,719 Speaker 1: You can't commit these crimes in Oklahoma. Well, then first 686 00:37:31,760 --> 00:37:33,279 Speaker 1: you're saying we have to go out there and get 687 00:37:33,560 --> 00:37:39,640 Speaker 1: a shot to sedate it rightly as a child. Well, 688 00:37:39,640 --> 00:37:40,960 Speaker 1: if you can't catch it that way, but if it 689 00:37:41,000 --> 00:37:44,359 Speaker 1: doesn't slow it down enough, this is rural Oklahoma. This 690 00:37:44,400 --> 00:37:47,280 Speaker 1: is the response that you're going to get. I'm thinking 691 00:37:47,320 --> 00:37:51,719 Speaker 1: in a different way there. It was a friend of 692 00:37:51,800 --> 00:37:55,200 Speaker 1: Parkers who killed the animal. Parker claims the monkey who 693 00:37:55,239 --> 00:37:57,719 Speaker 1: attacked the person who killed it we called to me, 694 00:37:57,800 --> 00:38:01,040 Speaker 1: came over and after I've been attacked the monkey. It's 695 00:38:01,239 --> 00:38:03,239 Speaker 1: kind of funny. The monkey went out to his car, 696 00:38:03,440 --> 00:38:05,880 Speaker 1: slapped him across the face and pulled his hair. Oh okay, 697 00:38:05,920 --> 00:38:08,320 Speaker 1: that's why he got the bullet. He's an angry monkeys 698 00:38:08,360 --> 00:38:12,080 Speaker 1: like a Stug's plot. He knew what was coming. Why 699 00:38:12,160 --> 00:38:18,320 Speaker 1: you moron? Slap monkey seemed insulted. They're analyzing the monkey's 700 00:38:18,320 --> 00:38:20,319 Speaker 1: body to see if they're Yeah, because he wouldn't you 701 00:38:20,320 --> 00:38:23,879 Speaker 1: worry again about babies? Yeah, that sounds like rabid behavior. Yeah, 702 00:38:23,920 --> 00:38:26,520 Speaker 1: because I guess it was somebody's pet. Monkey lived in 703 00:38:26,560 --> 00:38:30,160 Speaker 1: the neighborhood. Nobody's come forward. He's on meth or bath salts. 704 00:38:31,320 --> 00:38:36,279 Speaker 1: It's a drug monkey, Fentanyl's right? All right? When we 705 00:38:36,320 --> 00:38:38,680 Speaker 1: come back, we got the big three o'clock hour, we'll 706 00:38:38,719 --> 00:38:41,359 Speaker 1: begin with Alex Stone with a detailed look at the 707 00:38:41,560 --> 00:38:45,000 Speaker 1: news San Quentin. We're the worst of the worst, or 708 00:38:45,080 --> 00:38:48,319 Speaker 1: housed from the prisoners system in California. It's gonna get 709 00:38:48,320 --> 00:38:50,960 Speaker 1: a makeover, it's gonna be scanned. In fact, it's been 710 00:38:51,040 --> 00:38:53,120 Speaker 1: renamed John. I don't know if you saw that. It 711 00:38:53,200 --> 00:38:55,040 Speaker 1: has a new name that we'll find out what that is, 712 00:38:55,600 --> 00:38:58,759 Speaker 1: and we'll hear from Alex Stone. Then we'll play Moistline 713 00:38:58,800 --> 00:39:02,279 Speaker 1: People once twice, and in between we got somebody to 714 00:39:02,360 --> 00:39:04,200 Speaker 1: throw in the dumpster. The Johnny Ken Hack in a 715 00:39:04,280 --> 00:39:08,360 Speaker 1: Dumpster segment returns Johnny Ken kf I Am six forty. 716 00:39:08,360 --> 00:39:11,640 Speaker 1: We're live everywhere on the iHeartRadio app and deep Mark 717 00:39:11,680 --> 00:39:14,120 Speaker 1: lid in the twenty four hour KFI Newsroom. Hey, you've 718 00:39:14,120 --> 00:39:15,759 Speaker 1: been listening to the John and Ken Show. You can 719 00:39:15,800 --> 00:39:18,920 Speaker 1: always hear us live on kf I AM six forty 720 00:39:18,920 --> 00:39:21,799 Speaker 1: one pm to four pm every Monday through Friday, and 721 00:39:21,920 --> 00:39:25,279 Speaker 1: of course anytime on demand on the iHeartRadio app