1 00:00:00,040 --> 00:00:03,640 Speaker 1: I was just comparing the Elsa Goundo Times voter guide 2 00:00:03,640 --> 00:00:07,760 Speaker 1: with ours, which we just posted up on Friday. Yeah. Yeah, 3 00:00:07,840 --> 00:00:10,840 Speaker 1: well the ballot measures. It's actually closer than you think 4 00:00:11,600 --> 00:00:16,040 Speaker 1: about fifty fifty that we agree with them. Well, it 5 00:00:16,079 --> 00:00:18,360 Speaker 1: doesn't matter what they think. It only matters what we think. 6 00:00:18,840 --> 00:00:22,079 Speaker 1: That's true life. And I'm scrolling down here and I see, 7 00:00:22,079 --> 00:00:26,319 Speaker 1: oh my god, another Yarroslovski. Oh for council District five, 8 00:00:26,520 --> 00:00:31,080 Speaker 1: Katie Young. Yaroslovsky have a daughter, Zev's daughter. Oh my god, 9 00:00:33,040 --> 00:00:35,879 Speaker 1: young will oh no, Young Yarroslovski will bring to the 10 00:00:35,880 --> 00:00:40,040 Speaker 1: position not just an expertise on policy, but an understanding 11 00:00:40,040 --> 00:00:44,600 Speaker 1: of the complexity of homelessness and other problems the city faces. 12 00:00:44,840 --> 00:00:47,960 Speaker 1: That's what we need. Wow, we need more of an 13 00:00:48,040 --> 00:00:50,920 Speaker 1: understanding as to why we're supposed to spend billions and 14 00:00:50,960 --> 00:00:53,680 Speaker 1: billions of dollars. I'm nothing. Yeah, And of course they 15 00:00:53,720 --> 00:00:59,040 Speaker 1: back Mike Bonnin's clone Funeral District Aaron Darling. He will 16 00:00:59,080 --> 00:01:04,479 Speaker 1: be a thoughtful and strong steward where residents a district 17 00:01:04,560 --> 00:01:07,560 Speaker 1: or residents wory about crime, traffic, brush fires, and homelessness, 18 00:01:07,560 --> 00:01:10,880 Speaker 1: among other problems. That's a ringing endorse. Yeah, that's all 19 00:01:10,920 --> 00:01:14,000 Speaker 1: created by the government. All the all the crime problems 20 00:01:14,000 --> 00:01:16,880 Speaker 1: are created by the government because they're not They don't 21 00:01:16,920 --> 00:01:21,000 Speaker 1: put criminals in jail. Simple, you know what the thing is, 22 00:01:21,160 --> 00:01:24,000 Speaker 1: what I've noticed is and this is a tactic and 23 00:01:24,720 --> 00:01:27,800 Speaker 1: it could be the times, it could be a certain politicians, activists. Oh, no, 24 00:01:27,920 --> 00:01:31,960 Speaker 1: the problem is very complicated. No, it's not complicated. Look 25 00:01:31,959 --> 00:01:34,040 Speaker 1: at the cities where there or the states where there 26 00:01:34,120 --> 00:01:37,200 Speaker 1: isn't a problem. What do they do differently, Oh, they 27 00:01:37,240 --> 00:01:40,520 Speaker 1: put criminals in prison. What do you know, homeless? They 28 00:01:40,560 --> 00:01:43,680 Speaker 1: make them move along, can't can't live on the sidewalk. 29 00:01:45,760 --> 00:01:49,640 Speaker 1: That that's that's that's what happens. You take action. You 30 00:01:49,760 --> 00:01:53,720 Speaker 1: cannot cure all the personal problems that the human race has. 31 00:01:53,920 --> 00:01:57,760 Speaker 1: It's impossible. And I've started to realize we made some 32 00:01:57,800 --> 00:02:00,640 Speaker 1: sort of terrible went down to terrible roads years ago. 33 00:02:01,360 --> 00:02:03,680 Speaker 1: And I know what triggered this, the idea that every 34 00:02:03,760 --> 00:02:06,480 Speaker 1: human being has to be saved by the government or 35 00:02:06,600 --> 00:02:10,399 Speaker 1: saved by the taxpayer, that we're all responsible for everybody 36 00:02:10,400 --> 00:02:13,480 Speaker 1: else's personal problems inside their out. It takes a village. 37 00:02:13,480 --> 00:02:16,880 Speaker 1: That's where that started. Hilary and Bill Clinton. Yeah, I 38 00:02:16,880 --> 00:02:20,920 Speaker 1: think it even predated that. So were the roots of this. 39 00:02:21,600 --> 00:02:23,480 Speaker 1: The roots of this I think go back. I actually 40 00:02:23,480 --> 00:02:26,040 Speaker 1: think it goes back to when when those daytime talk 41 00:02:26,040 --> 00:02:33,200 Speaker 1: shows got popular, exploiting people's personal addictions and abusive relationships 42 00:02:33,960 --> 00:02:36,440 Speaker 1: and to create a generation of people saying, oh, look 43 00:02:36,480 --> 00:02:39,280 Speaker 1: at other people suffering. I see them every day. Is 44 00:02:39,280 --> 00:02:42,880 Speaker 1: there anything we can do? And after I don't know, 45 00:02:43,000 --> 00:02:45,760 Speaker 1: thirty forty years of experiments, no, there's nothing we can do. 46 00:02:46,400 --> 00:02:48,840 Speaker 1: There's nothing we can do with people who have bad childhoods, 47 00:02:48,840 --> 00:02:52,800 Speaker 1: who have addictions, who were born with personality disorders in 48 00:02:52,840 --> 00:02:54,760 Speaker 1: their brain. How about that, there's nothing we can do. 49 00:02:55,200 --> 00:02:57,280 Speaker 1: When they're criminals, we can lock them up and that'll 50 00:02:57,760 --> 00:03:00,799 Speaker 1: take care of those issues, all right. To check out 51 00:03:00,840 --> 00:03:03,840 Speaker 1: the voter Guide, a caf I AM sixty dot com, 52 00:03:03,840 --> 00:03:08,960 Speaker 1: the John and Ken page. The big story locally here 53 00:03:09,040 --> 00:03:13,000 Speaker 1: today and it actually began on the weekend after the 54 00:03:13,200 --> 00:03:18,000 Speaker 1: LA Unified School District Superintendent Alberto Carvallo said he would 55 00:03:18,080 --> 00:03:22,800 Speaker 1: not negotiate or pay a ransom to hackers who said 56 00:03:22,840 --> 00:03:26,040 Speaker 1: they had hacked into the LA Unified School District database. 57 00:03:26,960 --> 00:03:32,120 Speaker 1: The group did apparently release some of the data online. 58 00:03:32,880 --> 00:03:36,280 Speaker 1: Friday was when Carvallo made it clearlywoodn't pay. The group 59 00:03:36,400 --> 00:03:39,160 Speaker 1: said they had until Monday to pay, but I guess 60 00:03:39,240 --> 00:03:42,360 Speaker 1: they changed their mind when they heard that Carvallo was 61 00:03:42,400 --> 00:03:46,880 Speaker 1: not going to pay, and they started releasing this data 62 00:03:46,960 --> 00:03:51,920 Speaker 1: that they have. The it's a syndicate called the Vice Society. 63 00:03:53,040 --> 00:03:59,760 Speaker 1: Apparently they have hacked other school district databases around the country. 64 00:04:00,200 --> 00:04:03,000 Speaker 1: If I mentioned those, other school districts paid and that's 65 00:04:03,000 --> 00:04:05,720 Speaker 1: why they keep doing it. I think one of them 66 00:04:05,760 --> 00:04:07,720 Speaker 1: did I read, but I don't think they all do. 67 00:04:08,320 --> 00:04:10,320 Speaker 1: But you know, you don't need to get everybody to pay. 68 00:04:10,360 --> 00:04:13,400 Speaker 1: You just keep doing this, right. It's like a usual scammer. 69 00:04:13,440 --> 00:04:16,800 Speaker 1: You make a thousand phone calls, you get one sucker. Yeah, 70 00:04:16,839 --> 00:04:18,400 Speaker 1: I mean if you can get a hundred. Because it's 71 00:04:18,400 --> 00:04:22,080 Speaker 1: not hard to hack into government websites because they never 72 00:04:22,120 --> 00:04:26,360 Speaker 1: spent the money on securing them. Right, So a lot 73 00:04:26,360 --> 00:04:29,520 Speaker 1: of government websites are defenseless. Now, A lot of government 74 00:04:29,520 --> 00:04:32,600 Speaker 1: websites don't have anything interesting to hack into. They thought 75 00:04:32,640 --> 00:04:37,240 Speaker 1: they'd have something by threatening releasing private information, but children 76 00:04:37,600 --> 00:04:41,760 Speaker 1: don't have much private information outside the social security numbers 77 00:04:41,800 --> 00:04:44,200 Speaker 1: that are in there. You know, the way to get 78 00:04:44,200 --> 00:04:46,720 Speaker 1: around that is just have the government give these kids 79 00:04:46,760 --> 00:04:50,680 Speaker 1: new social Security numbers. They're saying that confidential information of 80 00:04:50,720 --> 00:04:54,839 Speaker 1: employees was not stolen, but they were less certain about 81 00:04:54,880 --> 00:05:00,040 Speaker 1: students names, grades, course schedules, disciplinary records. But there's a 82 00:05:00,120 --> 00:05:03,919 Speaker 1: sability status that doesn't sound like there's no market for that. Supposedly, 83 00:05:03,920 --> 00:05:08,719 Speaker 1: some W nine forms appeared to be in the data dump. 84 00:05:09,560 --> 00:05:13,160 Speaker 1: That's for employers or other entities to verify their name, address, 85 00:05:13,200 --> 00:05:16,520 Speaker 1: and tax ID number like a Social Security number. This 86 00:05:16,600 --> 00:05:20,719 Speaker 1: is usually somebody who's like an independent contractor, so it 87 00:05:20,720 --> 00:05:23,200 Speaker 1: could be they dumped some information on some people who 88 00:05:23,240 --> 00:05:26,080 Speaker 1: file W nine's to do work for the school district, 89 00:05:26,640 --> 00:05:30,520 Speaker 1: not worth paying for. Who cares? They They have set 90 00:05:30,560 --> 00:05:34,080 Speaker 1: up an incident Responds hotline, an eight five five number, 91 00:05:34,800 --> 00:05:36,720 Speaker 1: but it only runs until three thirty. The afternoon was 92 00:05:36,720 --> 00:05:39,440 Speaker 1: already's turned off of the day. It's not quite the 93 00:05:39,480 --> 00:05:42,600 Speaker 1: hot list. I love these school hours six am to 94 00:05:42,680 --> 00:05:46,720 Speaker 1: three thirty. I love these hot lines that don't really 95 00:05:46,720 --> 00:05:50,000 Speaker 1: work or not really tended to. Yeah, oh kinds of 96 00:05:50,080 --> 00:05:55,000 Speaker 1: hot lines right, uh so so far? I mean it's 97 00:05:55,080 --> 00:05:58,320 Speaker 1: kind of a nothing burger from what we can tell. Oh, 98 00:05:58,839 --> 00:06:00,760 Speaker 1: they were right not to pay anything. I don't. I 99 00:06:00,800 --> 00:06:03,039 Speaker 1: don't think anybody. I guess that's why he didn't. He 100 00:06:03,120 --> 00:06:07,000 Speaker 1: probably realized based on what they were able to surmise 101 00:06:07,279 --> 00:06:09,240 Speaker 1: what was released, and thought, it's not the worst thing 102 00:06:09,240 --> 00:06:11,760 Speaker 1: in the world. Well, I mean these aren't the nuclear codes. 103 00:06:12,400 --> 00:06:17,839 Speaker 1: I mean, what are we talking about here? Kids? Grades? Really? No, 104 00:06:18,000 --> 00:06:19,800 Speaker 1: The key is sels the security numbers, because that's how 105 00:06:19,839 --> 00:06:23,640 Speaker 1: people steal, steal identities, and that gets annoying and complicated 106 00:06:23,720 --> 00:06:26,320 Speaker 1: and can be expensive. I can't stop, not for a 107 00:06:26,360 --> 00:06:29,520 Speaker 1: little kid. He hasn't done anything. Well, the concern was, 108 00:06:29,520 --> 00:06:33,360 Speaker 1: wasn't going to be employees who have because they paid 109 00:06:33,400 --> 00:06:37,279 Speaker 1: you have to give him a new number. They let 110 00:06:37,400 --> 00:06:41,200 Speaker 1: him fend for themselves, no tax money. But the solution 111 00:06:41,279 --> 00:06:43,520 Speaker 1: is then what to give give tax money so that 112 00:06:43,720 --> 00:06:46,880 Speaker 1: some people are some people are not inconvenience with the 113 00:06:46,920 --> 00:06:52,000 Speaker 1: stolen number. It's like somebody life is yeah, stealing somebody's idea. 114 00:06:52,440 --> 00:06:55,080 Speaker 1: It's nasty and complicated. We've talked about that many times 115 00:06:55,120 --> 00:06:56,920 Speaker 1: on the show. I don't want to pay my tax money. 116 00:06:56,960 --> 00:06:59,200 Speaker 1: It can take years to undo that damage. That's the 117 00:06:59,240 --> 00:07:02,080 Speaker 1: bad luck there for them. What if it was your 118 00:07:02,880 --> 00:07:05,960 Speaker 1: I wouldn't I wouldn't expect anything tapped into my heart. 119 00:07:06,080 --> 00:07:08,400 Speaker 1: I would do your crap. I would not expect any 120 00:07:08,480 --> 00:07:11,440 Speaker 1: tax money to be spent on it. I would say, 121 00:07:11,440 --> 00:07:13,280 Speaker 1: I wouldn't be it would be private company money. I 122 00:07:13,320 --> 00:07:15,840 Speaker 1: wouldn't expect. I wouldn't expect private company I would say, 123 00:07:15,840 --> 00:07:17,920 Speaker 1: it's like, hey, bad luck for me. I'll do what 124 00:07:18,000 --> 00:07:20,320 Speaker 1: I can to fix it. My problem, not yours. I 125 00:07:20,440 --> 00:07:24,960 Speaker 1: supposedly stole five hundred gigabytes of data, but I wonder 126 00:07:25,000 --> 00:07:27,080 Speaker 1: if they only put a little bit online to try 127 00:07:27,120 --> 00:07:28,600 Speaker 1: to make the point that we have a lot more, 128 00:07:28,680 --> 00:07:33,160 Speaker 1: because it's not really clear from these stories what was revealed. 129 00:07:34,160 --> 00:07:37,000 Speaker 1: I didn't look, and I don't know who did. But see, 130 00:07:37,000 --> 00:07:39,440 Speaker 1: I'm very consistent. I don't want to spend my money 131 00:07:39,480 --> 00:07:42,040 Speaker 1: on anybody else's problems, and I don't expect anyone else 132 00:07:42,080 --> 00:07:47,040 Speaker 1: to spend their money on my problems. Well, the problem is, though, 133 00:07:47,080 --> 00:07:50,080 Speaker 1: your data is with other entities, so it's not always 134 00:07:50,240 --> 00:07:51,720 Speaker 1: up to you. But I know, I know, I know 135 00:07:52,560 --> 00:07:56,520 Speaker 1: every the whole world is screwed. This whole online electronic 136 00:07:56,640 --> 00:07:59,920 Speaker 1: data idea is a bad idea. I'm resigned that stuff 137 00:08:00,080 --> 00:08:03,160 Speaker 1: is going to get stolen because there's you know, when 138 00:08:03,200 --> 00:08:05,480 Speaker 1: you hadn't locked up in a file cabinet. It's very 139 00:08:05,520 --> 00:08:07,920 Speaker 1: difficult to steal this stuff. It just wasn't practical. But 140 00:08:08,040 --> 00:08:10,960 Speaker 1: you put it online and it's accessible to the entire world, 141 00:08:11,320 --> 00:08:17,600 Speaker 1: including tens of thousands of criminals living in unregulated foreign countries. 142 00:08:18,160 --> 00:08:19,560 Speaker 1: Of course, what do you think is going to happen? 143 00:08:20,080 --> 00:08:22,320 Speaker 1: You know, there's some guy in the middle of Eastern 144 00:08:22,400 --> 00:08:24,880 Speaker 1: Europe or Africa or wherever they are, and they're trying 145 00:08:24,920 --> 00:08:29,040 Speaker 1: to hack into, you know, a hundred places where my 146 00:08:29,120 --> 00:08:31,600 Speaker 1: private information is. What am I supposed to do? It's 147 00:08:31,640 --> 00:08:35,160 Speaker 1: a bad idea. I guess we're all just part of 148 00:08:35,200 --> 00:08:37,640 Speaker 1: this big data roulette. Yeah, I know. So I can't 149 00:08:37,679 --> 00:08:40,160 Speaker 1: get up in the morning worry about that. If it happens, 150 00:08:40,240 --> 00:08:42,280 Speaker 1: odds art's not going to happen to you. But if 151 00:08:42,320 --> 00:08:45,040 Speaker 1: it does, well, there you go. It's like getting hit 152 00:08:45,120 --> 00:08:47,280 Speaker 1: by a car. You gotta, you know, just pick yourself up. 153 00:08:47,320 --> 00:08:48,800 Speaker 1: And yeah, the only time this happened to me, I 154 00:08:48,880 --> 00:08:51,679 Speaker 1: had a credit card with one of the airlines is 155 00:08:51,679 --> 00:08:54,360 Speaker 1: not even around anymore, and I had read years later 156 00:08:54,480 --> 00:08:57,319 Speaker 1: that the bank that they used to run that it 157 00:08:57,400 --> 00:08:59,880 Speaker 1: was not a good operation. So yeah, somebody got my 158 00:09:00,000 --> 00:09:02,360 Speaker 1: credit card numbers started running up charges in Vegas if 159 00:09:02,520 --> 00:09:04,839 Speaker 1: I could stop it. Yeah, that was a pain in 160 00:09:04,960 --> 00:09:07,600 Speaker 1: that A couple of times that happened. But you know now, 161 00:09:08,320 --> 00:09:11,319 Speaker 1: at least the cards I have, and I I just 162 00:09:11,440 --> 00:09:15,160 Speaker 1: have the regular major companies, They alert you immediately when 163 00:09:15,240 --> 00:09:19,200 Speaker 1: something is outside the algorithm. They have such a detailed 164 00:09:19,760 --> 00:09:23,199 Speaker 1: history of your spending patterns. And most people do have 165 00:09:23,360 --> 00:09:26,720 Speaker 1: patterns that when they see something that's a step outside. 166 00:09:26,800 --> 00:09:30,160 Speaker 1: I always get alerts on my phone or my phone rings, 167 00:09:30,280 --> 00:09:31,800 Speaker 1: or I get an email or all things go on. 168 00:09:31,840 --> 00:09:33,360 Speaker 1: I haven't got one of those in years, so I 169 00:09:33,480 --> 00:09:35,640 Speaker 1: guess nothing's really going on now, and they and they 170 00:09:35,760 --> 00:09:37,280 Speaker 1: let you know, and then you just see a press 171 00:09:37,480 --> 00:09:41,920 Speaker 1: Yes it's your charge, No, it's not your charge. All right. 172 00:09:41,960 --> 00:09:45,880 Speaker 1: We got more coming up when we return. We had 173 00:09:45,960 --> 00:09:50,480 Speaker 1: talked to some time ago about this idea in boil 174 00:09:50,559 --> 00:09:53,640 Speaker 1: Heights neighborhood of Los Angeles to convert an old Sears 175 00:09:53,760 --> 00:09:58,880 Speaker 1: building into a massive homeless shelter ten thousand beds. We'll 176 00:09:58,880 --> 00:10:01,439 Speaker 1: talk about it next the update. Johnny KENCHOKF I am 177 00:10:01,480 --> 00:10:04,800 Speaker 1: six forty live everywhere in the iHeartRadio app. Congratulations, if 178 00:10:04,840 --> 00:10:06,880 Speaker 1: you were buying gas in La County, it has hit 179 00:10:06,920 --> 00:10:09,640 Speaker 1: an all time record high of six dollars and forty 180 00:10:09,720 --> 00:10:14,120 Speaker 1: seven cents a gallon today, Ding Ding, even higher than 181 00:10:14,160 --> 00:10:15,840 Speaker 1: a few months ago when it had the big run 182 00:10:15,960 --> 00:10:19,760 Speaker 1: up following Russia's invasion of Ukraine. I love more on 183 00:10:19,840 --> 00:10:22,280 Speaker 1: that later on in the show. You know, it's not 184 00:10:22,920 --> 00:10:28,120 Speaker 1: very often that our viewpoint and the viewpoint of how 185 00:10:28,160 --> 00:10:33,800 Speaker 1: would I put it, the homeless activist crazies actually coincide, 186 00:10:35,160 --> 00:10:39,160 Speaker 1: but they did in this story out of boil Heights. 187 00:10:39,840 --> 00:10:42,800 Speaker 1: We mentioned a couple of months ago that the person 188 00:10:43,000 --> 00:10:47,920 Speaker 1: that owns the old Sears building in Boil Heights, described 189 00:10:47,960 --> 00:10:50,760 Speaker 1: as iconic. I'd never been there, so I don't know, 190 00:10:51,679 --> 00:10:57,960 Speaker 1: apparently had decided to convert it into huge homeless housing complex. 191 00:10:59,040 --> 00:11:04,360 Speaker 1: Ten thousand beds were to be set up in this 192 00:11:04,640 --> 00:11:07,880 Speaker 1: former Sears building in Boil Heights. That would be the 193 00:11:08,240 --> 00:11:12,920 Speaker 1: most inner circle of Hell, wouldn't it. Everybody connected to 194 00:11:13,000 --> 00:11:17,640 Speaker 1: the story said no, the residents, the activists, and the 195 00:11:17,760 --> 00:11:22,360 Speaker 1: John and Ken show. How often does that happen? We 196 00:11:22,520 --> 00:11:26,360 Speaker 1: have a vote on this. The activists thought it was 197 00:11:26,440 --> 00:11:31,920 Speaker 1: going to be like a concentration camp, like some sort 198 00:11:31,960 --> 00:11:36,520 Speaker 1: of big prison. They didn't like it for that reason. Obviously, 199 00:11:36,600 --> 00:11:39,240 Speaker 1: some people in the neighborhood didn't like ten thousand people, 200 00:11:39,320 --> 00:11:43,360 Speaker 1: homeless people coming into their neighborhood living in a gigantic building. 201 00:11:44,559 --> 00:11:47,040 Speaker 1: And then there's us which thought that that's also a 202 00:11:47,120 --> 00:11:49,880 Speaker 1: bad idea, not only for the community, but it's crazy 203 00:11:49,920 --> 00:11:52,200 Speaker 1: to put you know what kind of problems you're gonna 204 00:11:52,240 --> 00:11:55,480 Speaker 1: have with ten thousand homeless people in one huge complex. 205 00:11:55,640 --> 00:11:59,880 Speaker 1: Why this is such an insane idea is this is 206 00:12:00,000 --> 00:12:03,600 Speaker 1: as nutty as banning new parking spaces in the city. 207 00:12:03,960 --> 00:12:07,920 Speaker 1: I mean, today is the day for ridiculous ideas well. 208 00:12:08,000 --> 00:12:13,960 Speaker 1: The guy who owns the property is named Isaac Schomoff. Yeah, 209 00:12:14,400 --> 00:12:16,920 Speaker 1: he originally brought them here is he purchased the property 210 00:12:17,440 --> 00:12:19,520 Speaker 1: in twenty thirteen. To give you an idea, it's one 211 00:12:19,559 --> 00:12:22,840 Speaker 1: point six million square feet and he was gonna make 212 00:12:22,920 --> 00:12:26,480 Speaker 1: it into some sort of mixed use hipster destination. That's 213 00:12:26,559 --> 00:12:29,760 Speaker 1: or what that means. I don't know, hip clothing shops 214 00:12:29,800 --> 00:12:31,880 Speaker 1: and coffee places, and I don't know. Son. It's like 215 00:12:31,920 --> 00:12:36,199 Speaker 1: one of these wacky developers who has crazy ideas. I 216 00:12:36,360 --> 00:12:41,200 Speaker 1: know we'll have We'll have homeless shelter, big tower, ten 217 00:12:41,280 --> 00:12:44,520 Speaker 1: thousand homeless inside. I pay for it. He's gotta be 218 00:12:44,559 --> 00:12:47,920 Speaker 1: a good idea to try to solve the homelessness crisis. 219 00:12:48,160 --> 00:12:51,079 Speaker 1: That's stupid because everyone's always saying there's no place for 220 00:12:51,120 --> 00:12:53,080 Speaker 1: these people to go. We don't have any shelter beds. 221 00:12:53,120 --> 00:12:56,280 Speaker 1: So he wanted to instantly create ten thousand and in 222 00:12:56,400 --> 00:12:59,040 Speaker 1: one place. Why would Boil Heights want ten thousand people 223 00:12:59,240 --> 00:13:01,840 Speaker 1: when most of them are not from Boyle Heights. Most 224 00:13:01,920 --> 00:13:06,120 Speaker 1: of them are from other states. You know, probably sixty 225 00:13:06,200 --> 00:13:08,720 Speaker 1: seventy percent of the homeless in La County are from 226 00:13:08,800 --> 00:13:12,319 Speaker 1: outside California. So why should boil House Heights have to 227 00:13:12,400 --> 00:13:15,000 Speaker 1: absorb ten thousand of them in one building. Well, this 228 00:13:15,679 --> 00:13:19,920 Speaker 1: guy in LSD, is this some kind of hallucination? You 229 00:13:20,000 --> 00:13:23,920 Speaker 1: can't even Hildasolis said, this project does not have the 230 00:13:23,960 --> 00:13:26,480 Speaker 1: support of my office. You can't even put a hundred 231 00:13:26,559 --> 00:13:29,760 Speaker 1: people in a building without creating all kinds of mayhem 232 00:13:29,840 --> 00:13:35,719 Speaker 1: one hundred. The council district that this is in is 233 00:13:35,880 --> 00:13:39,679 Speaker 1: Kevin de Leone. He just said he'd be open to dialogue, 234 00:13:39,720 --> 00:13:43,079 Speaker 1: but it didn't support it or not support it. But this, 235 00:13:43,960 --> 00:13:47,440 Speaker 1: this is this is one of those things that's impossible. Well, 236 00:13:47,480 --> 00:13:51,000 Speaker 1: here's the update. They're scaling it back to two thousand 237 00:13:51,200 --> 00:13:56,079 Speaker 1: five hundred beds. That's still impossible, and they want to 238 00:13:56,520 --> 00:14:00,440 Speaker 1: but wait, there's more. They want to construct three thousand 239 00:14:00,520 --> 00:14:06,240 Speaker 1: units of permanent, supporting supportive housing behind the building, so 240 00:14:06,840 --> 00:14:11,000 Speaker 1: it really would probably be five thousand people there. It's 241 00:14:11,160 --> 00:14:14,640 Speaker 1: it's people in Boil Heights aren't gonna stand for this, 242 00:14:14,880 --> 00:14:17,319 Speaker 1: and they don't deserve this. Why would you pick on 243 00:14:17,960 --> 00:14:21,960 Speaker 1: a poor community in Boil Heights and send them thousands 244 00:14:22,960 --> 00:14:28,440 Speaker 1: of derelicts. That's not what you do to a poor community. 245 00:14:29,240 --> 00:14:33,560 Speaker 1: They have been in protesting, people marched outside the building. Yeah. No, 246 00:14:33,800 --> 00:14:37,040 Speaker 1: detention center at Sears do not wear house the homeless, 247 00:14:37,040 --> 00:14:39,760 Speaker 1: so that's another term they use warhouse. No, No, everybody 248 00:14:39,800 --> 00:14:41,760 Speaker 1: in office in that district would get voted out of 249 00:14:41,840 --> 00:14:44,160 Speaker 1: office if they approved this. No one's ever going to 250 00:14:44,200 --> 00:14:47,680 Speaker 1: go along with this. This is a career killer. You bring, 251 00:14:47,800 --> 00:14:51,280 Speaker 1: you bring five thousand, ten thousand, two thousand, whatever the 252 00:14:51,360 --> 00:14:54,720 Speaker 1: number is, then forget it. Your political career is over. 253 00:14:56,640 --> 00:15:01,160 Speaker 1: Nobody wants this, and you're right. Barbara Martinez, who apparently 254 00:15:01,280 --> 00:15:04,600 Speaker 1: is on the neighborhood council for Boyle Heights, said we 255 00:15:04,680 --> 00:15:07,200 Speaker 1: should not have to house homeless people from outside the community. 256 00:15:07,760 --> 00:15:10,600 Speaker 1: That's right. We are sick and tired of people coming 257 00:15:10,680 --> 00:15:13,160 Speaker 1: and dumping here, said, I think they have I think 258 00:15:13,200 --> 00:15:17,120 Speaker 1: they have enough issues in that region and they don't 259 00:15:17,160 --> 00:15:23,840 Speaker 1: need thousands of people who are certifiably mentally ill. Yeah, 260 00:15:23,840 --> 00:15:26,480 Speaker 1: there's no way boil Heights has ten thousand homeless people. 261 00:15:26,520 --> 00:15:28,280 Speaker 1: Said they would be coming from all over the county, 262 00:15:28,400 --> 00:15:31,200 Speaker 1: probably certifiably addicted. Why why would you? Why would you 263 00:15:31,360 --> 00:15:36,360 Speaker 1: ship in just the worst of humanity into a place 264 00:15:36,440 --> 00:15:42,480 Speaker 1: that struggles with poverty every day. They struggle with crime issues, 265 00:15:42,560 --> 00:15:45,240 Speaker 1: poverty issues. Now you're going to give give them ten 266 00:15:45,320 --> 00:15:49,000 Speaker 1: thousand people who don't function from minute to minute. It 267 00:15:49,160 --> 00:15:54,160 Speaker 1: had a name the Los Angeles Life Rebuilding Center. This 268 00:15:54,400 --> 00:15:57,160 Speaker 1: this uh no walkins. They were going to do it 269 00:15:57,200 --> 00:16:00,160 Speaker 1: all by referral, Like one of those outreach workers comes 270 00:16:00,240 --> 00:16:01,640 Speaker 1: up to you on the streets and says, maybe you 271 00:16:01,680 --> 00:16:04,240 Speaker 1: could send you here to his Sears building. One guy's 272 00:16:04,240 --> 00:16:08,440 Speaker 1: stupid idea, Isaac Shumoff. Nobody, nobody took him seriously. There's 273 00:16:08,480 --> 00:16:12,360 Speaker 1: no second person in favor of this. It's just him. Yeah. 274 00:16:12,480 --> 00:16:14,760 Speaker 1: He had some sort of community meeting and according to 275 00:16:14,840 --> 00:16:19,880 Speaker 1: one it was one hundred percent against it. He probably 276 00:16:19,960 --> 00:16:22,120 Speaker 1: had some figured he was going to be able to 277 00:16:22,200 --> 00:16:27,240 Speaker 1: get a boatload of government money and get rich off this. 278 00:16:28,200 --> 00:16:30,000 Speaker 1: He probably had said, heah, yeah, he was gonna he 279 00:16:30,040 --> 00:16:32,640 Speaker 1: was gonna front four hundred million for the renovations and 280 00:16:32,760 --> 00:16:36,400 Speaker 1: offer the city the option to buy or lease the property. 281 00:16:36,440 --> 00:16:39,120 Speaker 1: Oh yeah, in the end, he has to get money. Yeah. 282 00:16:39,160 --> 00:16:40,560 Speaker 1: I don't think he was doing the completely out of 283 00:16:40,560 --> 00:16:42,360 Speaker 1: the goodness of his heart. No, no, no, no, it's 284 00:16:42,400 --> 00:16:44,680 Speaker 1: for money. No, absolutely, he doesn't care about home most people. 285 00:16:45,120 --> 00:16:48,560 Speaker 1: But he stuck with a white elephant of a building 286 00:16:49,120 --> 00:16:52,320 Speaker 1: that nobody wants to move into. You know, now that 287 00:16:52,440 --> 00:16:54,240 Speaker 1: Sears closed, what are you gonna do with the building? 288 00:16:55,480 --> 00:16:57,760 Speaker 1: There's no takers in this real estate market. You know. 289 00:16:57,840 --> 00:17:00,880 Speaker 1: I was reading because of the changes that the pandemic 290 00:17:00,960 --> 00:17:10,639 Speaker 1: has brought that one of the signature aspects of city 291 00:17:10,720 --> 00:17:15,320 Speaker 1: development over the years was office buildings, office skyscrapers, right, 292 00:17:16,080 --> 00:17:20,760 Speaker 1: because you wanted all your employees in one building, hundreds 293 00:17:20,800 --> 00:17:23,159 Speaker 1: and hundreds or thousands of employees, you'd all work from 294 00:17:23,200 --> 00:17:28,360 Speaker 1: one place, right. And now that a lot of people 295 00:17:28,400 --> 00:17:31,119 Speaker 1: are going to work from home forever, and we have 296 00:17:31,240 --> 00:17:34,920 Speaker 1: the technology to pull that off forever, there is no 297 00:17:35,080 --> 00:17:39,240 Speaker 1: need for those those one company tall office buildings. Or 298 00:17:39,320 --> 00:17:43,200 Speaker 1: for any company to rent out many, many floors just 299 00:17:43,320 --> 00:17:48,359 Speaker 1: to have that synergy. It's not necessary anymore. Zoom alone 300 00:17:48,520 --> 00:17:53,840 Speaker 1: was a huge revolution in communications. You know, Zoom really 301 00:17:53,880 --> 00:17:58,640 Speaker 1: didn't exist in common life very much until three years ago. 302 00:17:59,600 --> 00:18:04,520 Speaker 1: So why would you pay rent for these huge buildings, 303 00:18:04,560 --> 00:18:07,720 Speaker 1: Why would you build any of these buildings anymore? There's 304 00:18:07,760 --> 00:18:11,000 Speaker 1: no there's no reason too. So they're gonna have all 305 00:18:11,040 --> 00:18:15,200 Speaker 1: these empty skyscrapers, empty office floors, and there's a movement 306 00:18:15,240 --> 00:18:18,080 Speaker 1: to like, well, let's turn them into affordable housing. Let's 307 00:18:18,600 --> 00:18:22,480 Speaker 1: turn them into residential. But you know, good luck making 308 00:18:22,520 --> 00:18:25,320 Speaker 1: money off that. What developer is going to want to 309 00:18:25,359 --> 00:18:27,480 Speaker 1: take that project on if it means I got to 310 00:18:27,520 --> 00:18:31,120 Speaker 1: make affordable housing, It's like, no, make luxury housing. That's 311 00:18:31,119 --> 00:18:33,520 Speaker 1: how you make a big profit. All right, more coming 312 00:18:33,560 --> 00:18:35,880 Speaker 1: up Johnny Kensch on caf I AM six forty live 313 00:18:35,920 --> 00:18:38,080 Speaker 1: everywhere in the iHeartRadio app. All right, we got the 314 00:18:38,160 --> 00:18:40,880 Speaker 1: voter guide for you on the website camp i am 315 00:18:41,000 --> 00:18:44,639 Speaker 1: sixty dot com, the John and ken page. We're going 316 00:18:44,680 --> 00:18:46,440 Speaker 1: to talk about one that will get a lot of 317 00:18:46,480 --> 00:18:49,800 Speaker 1: attention leading up to the election day in November eighth, 318 00:18:49,800 --> 00:18:53,800 Speaker 1: and that's, of course, the race for La mayor to 319 00:18:53,960 --> 00:18:57,520 Speaker 1: replace what is that guy's name that the Indian ambassador? 320 00:18:59,280 --> 00:19:02,680 Speaker 1: I don't remember. Yeah, I haven't seen him in so 321 00:19:02,840 --> 00:19:07,639 Speaker 1: long that I remember his name that it's like spaghetti. 322 00:19:08,800 --> 00:19:11,959 Speaker 1: What do you get nine years? Yeah, you got an 323 00:19:12,000 --> 00:19:15,199 Speaker 1: extra yea twenty thirteen he came in. Yeah, he got 324 00:19:15,200 --> 00:19:19,760 Speaker 1: an extra year and a half, I think. So it's 325 00:19:19,840 --> 00:19:25,639 Speaker 1: quite the stark choice between the congresswoman Karen Bass and 326 00:19:26,200 --> 00:19:31,520 Speaker 1: Rick Caruso. The headline is in the latest polling from 327 00:19:31,720 --> 00:19:37,320 Speaker 1: UC Berkeley's Institute of Governmental Studies that Carusoe has closed 328 00:19:37,359 --> 00:19:40,119 Speaker 1: a large part of the gap that he had with 329 00:19:40,320 --> 00:19:45,119 Speaker 1: Bass since August. However, they broke this into kind of 330 00:19:45,560 --> 00:19:49,719 Speaker 1: two different sort of polls, all registered voters and then 331 00:19:49,880 --> 00:19:53,399 Speaker 1: those more likely to vote, and among all registered voters 332 00:19:54,280 --> 00:19:58,679 Speaker 1: they have him down thirty four thirty one. However, among 333 00:19:58,800 --> 00:20:04,919 Speaker 1: all likely voters, it's a fifteen point margin for Karen Bass. Okay, 334 00:20:05,560 --> 00:20:10,400 Speaker 1: now this is where your problem is, well, yes, okay, yeah, 335 00:20:10,440 --> 00:20:15,960 Speaker 1: because generally either this poll is completely absurd or something 336 00:20:16,520 --> 00:20:23,040 Speaker 1: really unusual is happening. Because most of the time, registered 337 00:20:23,119 --> 00:20:28,040 Speaker 1: voters by definition are every single person who bothered to register, right, 338 00:20:29,520 --> 00:20:32,399 Speaker 1: and you end up with a very large pool of voters. 339 00:20:33,080 --> 00:20:36,760 Speaker 1: Likely voters can be much smaller. It's people who are 340 00:20:36,840 --> 00:20:40,159 Speaker 1: regularly committed to go. They vote in every election. They 341 00:20:40,240 --> 00:20:44,119 Speaker 1: voting every election. Okay, you see older, richer, and whiter, right, 342 00:20:44,640 --> 00:20:49,560 Speaker 1: And in LA mayoral elections, that pool is really small. 343 00:20:51,160 --> 00:20:55,280 Speaker 1: I mean the turnout for mayoral elections. Right when Garceti 344 00:20:55,359 --> 00:20:57,840 Speaker 1: got reelected, it was pathetically law. It was really tiny. 345 00:20:59,119 --> 00:21:03,240 Speaker 1: Now normal because of the nature of the registered voters pool, 346 00:21:04,240 --> 00:21:10,119 Speaker 1: that pool is not older and wider, but it's younger 347 00:21:10,840 --> 00:21:16,320 Speaker 1: and more minorities, and it's people who rarely vote. They're 348 00:21:16,359 --> 00:21:21,199 Speaker 1: not paying attention, they're not tracking things. So a registered 349 00:21:21,400 --> 00:21:27,800 Speaker 1: voter poll skews much more Democrat, much more liberal. And 350 00:21:27,920 --> 00:21:30,399 Speaker 1: then the Republicans do a lot better in the likely 351 00:21:30,520 --> 00:21:35,400 Speaker 1: voter poll because the older, wider Republican voters are more 352 00:21:35,520 --> 00:21:38,840 Speaker 1: intent on voting. Here and this is the first one 353 00:21:38,880 --> 00:21:43,280 Speaker 1: I've ever seen like this that I can remember. This 354 00:21:43,520 --> 00:21:50,240 Speaker 1: one is reverse. The more conservative candidate does much better 355 00:21:51,040 --> 00:21:56,119 Speaker 1: in the registered voter poll. And in fact, you have 356 00:21:56,240 --> 00:22:01,480 Speaker 1: a third of those people haven't even decided yet. The 357 00:22:02,280 --> 00:22:07,480 Speaker 1: likely voters, which should be a more conservative group, there's 358 00:22:07,520 --> 00:22:11,399 Speaker 1: a wider difference. That's that and it should be a 359 00:22:11,480 --> 00:22:16,359 Speaker 1: younger group. So so, what gives I've never seen that 360 00:22:16,400 --> 00:22:18,800 Speaker 1: before it And here's what I think. The only other 361 00:22:18,920 --> 00:22:21,920 Speaker 1: time that's something like this was going on but the 362 00:22:21,960 --> 00:22:27,360 Speaker 1: posters didn't detect it was the Trump election in twenty sixteen. 363 00:22:28,240 --> 00:22:30,760 Speaker 1: Because it turns out part of the reason that the 364 00:22:30,840 --> 00:22:36,120 Speaker 1: posters missed the Trump election was they had all these 365 00:22:36,280 --> 00:22:40,320 Speaker 1: filters for likely voters, but a lot of people who voted, 366 00:22:40,760 --> 00:22:43,960 Speaker 1: who voted rarely, came out and voted for Trump. These 367 00:22:44,000 --> 00:22:47,720 Speaker 1: were people who had given up on the system, didn't 368 00:22:47,720 --> 00:22:51,480 Speaker 1: like Republicans, didn't like Democrats, thought the system was screwed. 369 00:22:51,880 --> 00:22:55,880 Speaker 1: And Trump, though, burst through. He was something fresh new, 370 00:22:55,960 --> 00:22:59,120 Speaker 1: a savior to them, a non politician, a guy who 371 00:22:59,200 --> 00:23:01,440 Speaker 1: was talking about the things they cared about that neither 372 00:23:01,520 --> 00:23:07,680 Speaker 1: party ever addressed. And so you had this huge number 373 00:23:07,800 --> 00:23:13,560 Speaker 1: of not likely voters showing up to vote. And I'm wondering, 374 00:23:13,680 --> 00:23:17,040 Speaker 1: just based on wandering around Los Angeles, there seems to 375 00:23:17,119 --> 00:23:19,960 Speaker 1: be an unusual number of people interested in this election 376 00:23:20,040 --> 00:23:23,239 Speaker 1: and talking about it. And I wonder if there's an 377 00:23:23,320 --> 00:23:26,560 Speaker 1: unusual number of people who don't meet the criteria of 378 00:23:26,680 --> 00:23:30,040 Speaker 1: a likely voter for an LA mayoral election. And they 379 00:23:30,080 --> 00:23:33,440 Speaker 1: would break for Crusoe in the way that voters broke 380 00:23:33,480 --> 00:23:37,760 Speaker 1: for Trump in twenty sixteen. Well, let's not forget what 381 00:23:37,840 --> 00:23:41,080 Speaker 1: happened in twenty twenty. Going along the same lines of 382 00:23:41,119 --> 00:23:45,240 Speaker 1: your analysis, Trump got even more votes than twenty sixteen 383 00:23:45,359 --> 00:23:49,640 Speaker 1: and he lost. So I guess that was an example 384 00:23:49,720 --> 00:23:53,880 Speaker 1: of what you're talking about the usual, because Biden picked 385 00:23:53,960 --> 00:23:56,399 Speaker 1: up people that probably didn't vote in twenty sixteen. N 386 00:23:56,480 --> 00:23:59,880 Speaker 1: Hillary didn't interest them, right, but they wanted Trump out. Yeah, 387 00:24:01,400 --> 00:24:05,080 Speaker 1: this is always about the turnout because for the most part, 388 00:24:05,160 --> 00:24:08,280 Speaker 1: turnout is pathetic, particularly talking about mayor's race or a 389 00:24:08,400 --> 00:24:12,920 Speaker 1: council race or a It's pathetic. The same number of 390 00:24:13,040 --> 00:24:15,920 Speaker 1: people who can vote for president in the city of 391 00:24:16,000 --> 00:24:19,520 Speaker 1: Los Angeles can vote for mayor in this election, but 392 00:24:19,680 --> 00:24:22,800 Speaker 1: will not. A lot more of Malbetta turned out in 393 00:24:22,840 --> 00:24:25,800 Speaker 1: twenty twenty to vote for Biden, maybe a found twenty 394 00:24:25,840 --> 00:24:28,600 Speaker 1: sixteen to vote for Trump. So it's always I mean, 395 00:24:29,080 --> 00:24:32,000 Speaker 1: how does Carusoe move these people to vote? Apparently, it 396 00:24:32,040 --> 00:24:35,600 Speaker 1: says here the real lackluster group are Latinos. They seem 397 00:24:35,600 --> 00:24:39,880 Speaker 1: to be really just not particularly engaged in this election. 398 00:24:41,040 --> 00:24:44,119 Speaker 1: Or maybe what you're saying is true they are, but 399 00:24:44,280 --> 00:24:46,520 Speaker 1: they're just not because they don't have a voting record. 400 00:24:46,880 --> 00:24:49,680 Speaker 1: It's not showing up in the Berkeley research. Well, first 401 00:24:49,680 --> 00:24:52,600 Speaker 1: of all, we've got the La Times in Berkeley here. Okay, 402 00:24:53,160 --> 00:24:57,480 Speaker 1: so yeah, there might be a bias, might just incompetence. 403 00:24:57,800 --> 00:25:00,800 Speaker 1: It says here those only moderately interest didn't voting favor 404 00:25:00,920 --> 00:25:04,440 Speaker 1: Crusoe thirty three percent to fourteen percent. We have fun 405 00:25:04,480 --> 00:25:09,080 Speaker 1: decided to see that that is really important. Moderately interest, 406 00:25:09,200 --> 00:25:13,400 Speaker 1: moderately interested, because that doesn't sound like they want to vote. 407 00:25:13,440 --> 00:25:17,720 Speaker 1: To me, well, it doesn't sound like they're not going 408 00:25:17,760 --> 00:25:21,400 Speaker 1: to vote. Though they're moderately interested, they're not not interested. 409 00:25:22,040 --> 00:25:24,040 Speaker 1: They know hard as you get about in your mailbox, 410 00:25:24,160 --> 00:25:26,640 Speaker 1: just check the Crusoe box and slip it in vote 411 00:25:26,640 --> 00:25:30,080 Speaker 1: for anything else? Does that? Wow? I don't really, because 412 00:25:30,119 --> 00:25:32,239 Speaker 1: we don't live their lives, so we don't understand them. 413 00:25:32,880 --> 00:25:36,119 Speaker 1: We also think they're all politicians. They're a holes. This 414 00:25:36,200 --> 00:25:38,280 Speaker 1: doesn't affect me. I'm tired of this. There's a lot 415 00:25:38,320 --> 00:25:42,360 Speaker 1: of people only marginally connected to what's going on in society. 416 00:25:42,440 --> 00:25:45,399 Speaker 1: They just don't care. It doesn't matter to them. And 417 00:25:45,560 --> 00:25:48,440 Speaker 1: there's a good argument to make for that. Now you 418 00:25:48,520 --> 00:25:50,639 Speaker 1: know why he's spending so much money on TV and radio. 419 00:25:51,200 --> 00:25:53,040 Speaker 1: He needs to wake your people up. And it made 420 00:25:53,080 --> 00:25:56,000 Speaker 1: it made it made me understand why he went for 421 00:25:56,119 --> 00:26:00,840 Speaker 1: the Scientology ad too, because I'm hearing more comments about 422 00:26:00,920 --> 00:26:03,080 Speaker 1: that ad than all the rest of his ads combined. 423 00:26:03,800 --> 00:26:07,040 Speaker 1: Some some hate it, some love it, some are puzzled 424 00:26:07,080 --> 00:26:10,000 Speaker 1: by it. But it cut through. It made people's head 425 00:26:10,160 --> 00:26:13,760 Speaker 1: snap to look at that right. And I don't know, 426 00:26:14,000 --> 00:26:17,720 Speaker 1: I'm convinced they tested that one out and I have 427 00:26:17,800 --> 00:26:19,639 Speaker 1: no idea what effect it's going to have. I mean 428 00:26:20,640 --> 00:26:22,359 Speaker 1: maybe it was a big gamble. I don't know. But 429 00:26:22,560 --> 00:26:24,800 Speaker 1: you know, when you're down the way he was down, 430 00:26:25,040 --> 00:26:26,840 Speaker 1: you do stuff like that. See what happens. You got 431 00:26:26,920 --> 00:26:29,399 Speaker 1: to shake the place. Well, I think you're making a 432 00:26:29,480 --> 00:26:32,560 Speaker 1: good point because I think people who are unlikely to vote, 433 00:26:32,680 --> 00:26:36,440 Speaker 1: who are moderately interested, they're gonna see an ad about 434 00:26:36,480 --> 00:26:40,120 Speaker 1: the same old homeless problem and the same old USC scandal, 435 00:26:40,600 --> 00:26:43,360 Speaker 1: but that Scientology one might kind of get their attention 436 00:26:43,400 --> 00:26:47,120 Speaker 1: for a moment. Oh she really a supporter of those people. Well, 437 00:26:47,320 --> 00:26:51,399 Speaker 1: because Charis could lay out all the homeless plans he wants, 438 00:26:51,760 --> 00:26:53,879 Speaker 1: everybody's heard a million And then I watching the debates. 439 00:26:53,960 --> 00:26:56,200 Speaker 1: Let's put it that one right, right, But people have 440 00:26:56,320 --> 00:26:58,879 Speaker 1: heard a million homeless plans, right, And the same thing 441 00:26:58,920 --> 00:27:00,920 Speaker 1: with Karen Bass. It's like, yeah, yeah, yeah, we got crime, 442 00:27:00,960 --> 00:27:03,240 Speaker 1: we got homeless. Everybody says they're gonna fix it. Nobody does. 443 00:27:03,800 --> 00:27:10,600 Speaker 1: But now here comes this Karen Basses enthusiastically gushing over scientologists. 444 00:27:10,640 --> 00:27:13,720 Speaker 1: What the f that hell is? What kind of a weirdo? Is? 445 00:27:13,760 --> 00:27:18,879 Speaker 1: Shake from other planets? Right? It just makes you feel uncomfortable. 446 00:27:19,000 --> 00:27:22,600 Speaker 1: It's like, I can't relate to that. She's who is she? 447 00:27:22,840 --> 00:27:25,120 Speaker 1: She's running? I never heard of her, but she's gonna 448 00:27:25,240 --> 00:27:28,320 Speaker 1: what is she gonna do with scientologists? Now you move 449 00:27:28,400 --> 00:27:31,640 Speaker 1: from moderately to more interested in voting? Yeah, well yeah, 450 00:27:31,680 --> 00:27:35,399 Speaker 1: I'm more interested in not voting for her because what 451 00:27:35,480 --> 00:27:39,159 Speaker 1: does that mean she's gonna have like a Again, I'm 452 00:27:39,200 --> 00:27:41,280 Speaker 1: putting this in the mind of a person who's barely 453 00:27:41,320 --> 00:27:44,520 Speaker 1: paying attention. Is she gonna bring all these scientologists into government? 454 00:27:44,640 --> 00:27:48,639 Speaker 1: Is that's who's gonna run things? It's just convert us 455 00:27:48,640 --> 00:27:50,920 Speaker 1: all that's right. Somebody's gonna come knocking on my door. 456 00:27:50,960 --> 00:27:55,159 Speaker 1: I mean, I don't know, drag me away. Tom Cruise 457 00:27:55,240 --> 00:28:00,280 Speaker 1: is interrogating me that's a freaky commercial. It is. It does, 458 00:28:00,400 --> 00:28:02,280 Speaker 1: it does pop out whenever it pops up on my TV. 459 00:28:02,359 --> 00:28:03,960 Speaker 1: In the background, I'm like, what a she yelling about? 460 00:28:03,960 --> 00:28:06,400 Speaker 1: Oh yeah, it's a scientology I know, Rally this big 461 00:28:06,760 --> 00:28:09,800 Speaker 1: golden stage that they created for her, and all the 462 00:28:09,920 --> 00:28:12,960 Speaker 1: minions in the audience cheering, and clients like, what the hell? 463 00:28:14,760 --> 00:28:17,040 Speaker 1: All right, we'll talk mar because that's what we do. 464 00:28:17,480 --> 00:28:20,040 Speaker 1: Johnny Kent Show, kf I AM six forty five everywhere 465 00:28:20,040 --> 00:28:22,480 Speaker 1: in the iHeart Radio app. Oh, here's news for the 466 00:28:22,760 --> 00:28:26,120 Speaker 1: one or two people you see per day still wearing 467 00:28:26,119 --> 00:28:31,920 Speaker 1: a mask outside from the Elsagundo Times new coronavirus subvariant 468 00:28:32,160 --> 00:28:38,520 Speaker 1: b a dot two dot seventy five dot two tops Concerns. No, 469 00:28:38,800 --> 00:28:42,680 Speaker 1: it was simple. It was just omicron or delta tops concerns. 470 00:28:42,880 --> 00:28:45,520 Speaker 1: Supposed to talk to somebody about that variant. Oh my god, 471 00:28:45,680 --> 00:28:49,000 Speaker 1: she's got the the dot two dot seventy five dot two. 472 00:28:51,960 --> 00:28:55,000 Speaker 1: They gotta be kidding. And it's the same too. Dopey 473 00:28:55,080 --> 00:28:58,280 Speaker 1: reporters wrong gong lend the second Luke money three years 474 00:28:58,320 --> 00:29:01,720 Speaker 1: have been writing as crap click bay. They're given the 475 00:29:01,880 --> 00:29:04,880 Speaker 1: COVID watch alarmist click bait. Oh it is it's all 476 00:29:04,920 --> 00:29:07,480 Speaker 1: about there's already rising cases in New York City. There 477 00:29:07,680 --> 00:29:11,479 Speaker 1: is well one of one of those variations, and they 478 00:29:11,800 --> 00:29:16,600 Speaker 1: all had incomprehensible jumbles of numbers and letters. One of them, 479 00:29:16,840 --> 00:29:19,719 Speaker 1: it said the scientists were really concerned and closely watching 480 00:29:20,440 --> 00:29:23,800 Speaker 1: this particular variant. And the next paraphic it said, well, 481 00:29:23,880 --> 00:29:31,960 Speaker 1: there's already been one case, one case. Oh no, yeah, 482 00:29:32,000 --> 00:29:36,160 Speaker 1: it says here Fauci identified the BA dot two dot 483 00:29:36,360 --> 00:29:39,680 Speaker 1: seven five dot two as one that looks suspicious it 484 00:29:39,840 --> 00:29:42,760 Speaker 1: might start to evolve as a troublesome variant. Well, it's 485 00:29:42,800 --> 00:29:46,480 Speaker 1: not been found while widely in the United States, and uh, 486 00:29:47,120 --> 00:29:50,000 Speaker 1: they're counting it separately from the less worrisome but similarly 487 00:29:50,080 --> 00:29:53,240 Speaker 1: named BA dot two dot seven five. Look, if they 488 00:29:53,320 --> 00:29:55,000 Speaker 1: only found it in one guy, they should lock that 489 00:29:55,280 --> 00:29:58,280 Speaker 1: that that person up right, I do what China does, 490 00:29:58,360 --> 00:30:01,000 Speaker 1: that's right. Seal them often is a part, drag them 491 00:30:01,040 --> 00:30:06,120 Speaker 1: away them, lose them. Oh, this article is like eye glazing. 492 00:30:06,240 --> 00:30:12,719 Speaker 1: Holy that's terrible. Oh my, it's terrible. It's it's boring, 493 00:30:12,960 --> 00:30:16,320 Speaker 1: it's repetitive, it's filled with all these numbers and letters. 494 00:30:16,680 --> 00:30:19,160 Speaker 1: It's nothing a normal person can relate to, Like I said, 495 00:30:19,240 --> 00:30:22,280 Speaker 1: but the two people a day you see outside wearing masks, 496 00:30:22,520 --> 00:30:26,160 Speaker 1: they would really be into this. Yeah, I do. I 497 00:30:26,200 --> 00:30:28,560 Speaker 1: see one or two a day. Still, that's it. Yeah, 498 00:30:28,600 --> 00:30:32,320 Speaker 1: and they fit a type too, they amuse me? Is 499 00:30:32,360 --> 00:30:35,120 Speaker 1: that right? Oh? Yeah, I haven't analyzed there. I haven't. Yeah, 500 00:30:35,160 --> 00:30:36,760 Speaker 1: it's been a while since I was able to set 501 00:30:36,840 --> 00:30:39,160 Speaker 1: up a new bank of stereotypes, and now I have. 502 00:30:39,320 --> 00:30:43,080 Speaker 1: I have a new uh, a new factor, a new fact. 503 00:30:43,160 --> 00:30:45,760 Speaker 1: There's only certain kinds of people who wear those masks, 504 00:30:47,560 --> 00:30:51,360 Speaker 1: all right, Well, if you're curious. Forbes has put out 505 00:30:51,440 --> 00:30:56,600 Speaker 1: the four hundred list about America's wealthiest people, and a 506 00:30:56,760 --> 00:31:02,160 Speaker 1: total of eighty Californians made the list, almost twenty more 507 00:31:02,240 --> 00:31:04,320 Speaker 1: than the state with the second most. How many times 508 00:31:04,360 --> 00:31:06,560 Speaker 1: have we told you on this show that we have 509 00:31:06,640 --> 00:31:08,920 Speaker 1: the very very wealthy and the very very poor in 510 00:31:09,760 --> 00:31:12,200 Speaker 1: way out of proportioned numbers to the rest of the country. 511 00:31:12,800 --> 00:31:15,080 Speaker 1: And but by the way, some of these people, I 512 00:31:15,080 --> 00:31:17,920 Speaker 1: would assume they pay taxes or what pays a lot 513 00:31:18,000 --> 00:31:22,040 Speaker 1: of them income taxes and taxes in the state. They 514 00:31:22,160 --> 00:31:25,600 Speaker 1: gave the list here in this article of the top people. 515 00:31:26,680 --> 00:31:31,160 Speaker 1: Not surprisingly, what would be the number one category of employment? 516 00:31:31,760 --> 00:31:38,400 Speaker 1: Of course, it would be tech, Google, Facebook, WhatsApp, Apple, Intel, Zoom, Yahoo, 517 00:31:38,480 --> 00:31:43,440 Speaker 1: and eBay led the list of the richest people. The 518 00:31:43,720 --> 00:31:47,400 Speaker 1: former CEO of Alphabet that's the parent company of Google. 519 00:31:48,040 --> 00:31:51,400 Speaker 1: When did they become Alphabet? A few years ago? Larry 520 00:31:51,480 --> 00:31:56,000 Speaker 1: Page is considered the wealthiest person in the state, with 521 00:31:56,160 --> 00:32:00,719 Speaker 1: the net worth of ninety three billion. And by the way, 522 00:32:00,760 --> 00:32:03,080 Speaker 1: I guess ella left right, doesn't he isn't he Texas 523 00:32:03,160 --> 00:32:04,960 Speaker 1: now mostly? Or yeah? Well, you know what's you know 524 00:32:05,040 --> 00:32:08,000 Speaker 1: what's funny is a lot of these companies are just 525 00:32:08,200 --> 00:32:13,320 Speaker 1: advertising companies. They're not much different than the old media giants. 526 00:32:14,360 --> 00:32:18,880 Speaker 1: Most of Google's money comes from selling money is selling ads, 527 00:32:19,800 --> 00:32:22,760 Speaker 1: you know eBay. But honestly, is this anybody in the 528 00:32:22,800 --> 00:32:25,240 Speaker 1: world when they're going to search for something doesn't use Google. 529 00:32:25,560 --> 00:32:27,320 Speaker 1: I know that they had a couple of competitors, but 530 00:32:27,440 --> 00:32:29,760 Speaker 1: did they did? Not pan out? No, it's a very 531 00:32:29,840 --> 00:32:35,400 Speaker 1: effective service. But it's it's advertising that's where the money is. Yeah, 532 00:32:35,720 --> 00:32:38,080 Speaker 1: I mean they everybody calls it tech. It's like, well, no, 533 00:32:38,200 --> 00:32:41,440 Speaker 1: it's just like what all the other It's what newspapers 534 00:32:41,480 --> 00:32:44,440 Speaker 1: and TV and radio and everything else used to be. 535 00:32:45,200 --> 00:32:49,040 Speaker 1: He is the sixth richest person in the country, and 536 00:32:49,160 --> 00:32:51,760 Speaker 1: he came ahead of Oh, it's been a tough time 537 00:32:51,840 --> 00:32:55,880 Speaker 1: from Mark Zuckerberg, the Meta CEO, because his net worth 538 00:32:56,000 --> 00:32:59,120 Speaker 1: declined from last year. He felt to number three in 539 00:32:59,200 --> 00:33:01,760 Speaker 1: the state with a out of net worth of fifty 540 00:33:01,800 --> 00:33:05,080 Speaker 1: eight billion dollars. I don't one and two by the 541 00:33:05,120 --> 00:33:07,960 Speaker 1: way of the two Google guys. Those guys don't really 542 00:33:07,960 --> 00:33:10,640 Speaker 1: pay attention to that stuff. Oh no, of course they don't. 543 00:33:11,240 --> 00:33:13,320 Speaker 1: Although is it a bit like having the biggest you know, 544 00:33:13,520 --> 00:33:17,760 Speaker 1: penis you want to bring them like to talk about it? 545 00:33:17,960 --> 00:33:20,880 Speaker 1: Trump did. Yeah, but Trump was always faking how much 546 00:33:20,920 --> 00:33:24,520 Speaker 1: money he had. Yeah, that's true. But the guys, the 547 00:33:24,600 --> 00:33:26,160 Speaker 1: guy's with a lot of money. I don't I don't 548 00:33:26,200 --> 00:33:28,920 Speaker 1: think they're they're looking at lists. I don't know. I 549 00:33:29,080 --> 00:33:32,360 Speaker 1: just uh, once you have X billion, there's no way 550 00:33:32,400 --> 00:33:34,760 Speaker 1: you can spend it. So what does it matter? Yeah, 551 00:33:35,800 --> 00:33:39,000 Speaker 1: the richest woman in the state is Loreene Powell Jobs. 552 00:33:40,000 --> 00:33:43,479 Speaker 1: Can you guess where she got her money? Apple Disney? 553 00:33:43,840 --> 00:33:47,240 Speaker 1: She inherited from her late Huffs and Steve Jobs. She 554 00:33:47,480 --> 00:33:51,640 Speaker 1: is supposedly worth thirteen billion. It takes a while before 555 00:33:51,680 --> 00:33:55,840 Speaker 1: you get to something outside of tech, like investing. Tarles 556 00:33:55,880 --> 00:33:59,920 Speaker 1: Schwab Charles Schwab. I didn't know there was a guy's 557 00:34:00,040 --> 00:34:03,720 Speaker 1: still alive who actually was Charles Schwab. I thought that 558 00:34:03,880 --> 00:34:06,880 Speaker 1: was one of those names from the eighteen hundreds that 559 00:34:07,000 --> 00:34:10,040 Speaker 1: they kept alive as a brand. But there's a Charles Schwab. 560 00:34:10,080 --> 00:34:11,799 Speaker 1: But he's worth a ton of money. I wonder if 561 00:34:11,840 --> 00:34:13,960 Speaker 1: that's the original Twas Schwab or like a son of 562 00:34:14,000 --> 00:34:17,080 Speaker 1: a Charlo grandson, the fifth. Well, they've been around a 563 00:34:17,120 --> 00:34:18,799 Speaker 1: long time, you're right, I would ask the same question. 564 00:34:18,920 --> 00:34:22,359 Speaker 1: We see. That's another that's another thing where we're they're 565 00:34:22,640 --> 00:34:25,839 Speaker 1: What they do is they just take a cut, right, yeah, right. 566 00:34:26,600 --> 00:34:29,720 Speaker 1: People are buying and selling stocks and they they're the middleman. 567 00:34:29,800 --> 00:34:32,120 Speaker 1: They take the cut like eBay. Right, people are buying 568 00:34:32,160 --> 00:34:34,439 Speaker 1: and selling junk and they take a cut in the middle. 569 00:34:34,840 --> 00:34:38,440 Speaker 1: But it's not I mean, the genius was the tech guys, 570 00:34:38,520 --> 00:34:41,680 Speaker 1: the engineers who built the system. But they don't they're 571 00:34:41,719 --> 00:34:45,600 Speaker 1: not the ones who walk away with billions. It's it's these, uh, 572 00:34:45,920 --> 00:34:50,560 Speaker 1: these founders who they don't necessarily invent the idea, but 573 00:34:50,719 --> 00:34:55,320 Speaker 1: they create the organization and then they live off selling ads, 574 00:34:55,480 --> 00:34:59,440 Speaker 1: taking a cut of sales. The three wealthiest people in 575 00:34:59,520 --> 00:35:01,839 Speaker 1: the country or Elon Musk, so I told him he's 576 00:35:01,840 --> 00:35:06,200 Speaker 1: texts now, and then you have Jeff Bezos and Bill Gates. Now, Musk, 577 00:35:06,400 --> 00:35:12,360 Speaker 1: he makes things. I respect his fortune more because he 578 00:35:12,560 --> 00:35:17,160 Speaker 1: makes cars. Science. Yes, yes, he has factories and he's 579 00:35:17,200 --> 00:35:19,759 Speaker 1: got me big tunnels and he mid builds tunnels. Yeah, 580 00:35:19,840 --> 00:35:22,400 Speaker 1: that's cool. I can relate to him. I get it. 581 00:35:23,440 --> 00:35:25,920 Speaker 1: Ye all right, We got more coming up with The 582 00:35:25,960 --> 00:35:29,520 Speaker 1: Johnny Ken Show, kf I Am six forty live everywhere 583 00:35:29,520 --> 00:35:31,600 Speaker 1: in the iHeart Radio app, and Debra Mark Live in 584 00:35:31,640 --> 00:35:33,080 Speaker 1: the twenty four hour CAFI Newsroom