1 00:00:00,080 --> 00:00:03,600 Speaker 1: Professor Kobelt. You'll learn something. You'll learn something. I learned 2 00:00:03,640 --> 00:00:08,200 Speaker 1: something every day listening to me. Wow, that's remarkable. That's 3 00:00:08,240 --> 00:00:10,040 Speaker 1: not something you already knew, because I know what I 4 00:00:10,080 --> 00:00:14,760 Speaker 1: know and occasionally listening to you too, is that right? Yeah? O? Wait? Asionally? 5 00:00:14,760 --> 00:00:18,320 Speaker 1: All right, I get an occasional coming. Uh. Well, we're 6 00:00:18,400 --> 00:00:21,279 Speaker 1: live in the iHeartRadio app with the podcast or Live 7 00:00:21,400 --> 00:00:24,440 Speaker 1: one to four, and then after four o'clock it's the podcast. 8 00:00:24,480 --> 00:00:27,360 Speaker 1: It's the same show, and you can listen to that 9 00:00:28,040 --> 00:00:30,760 Speaker 1: all day and night. All right, Deborah Marcus, back to you. 10 00:00:30,840 --> 00:00:33,640 Speaker 1: A clean bill of health I did, thank goodness. Yeah, 11 00:00:33,640 --> 00:00:37,440 Speaker 1: it was it fun. But yeah, got the old colonoscope. Yeah, whoo, 12 00:00:37,800 --> 00:00:40,319 Speaker 1: that was fun. She's loaded up with propofol. Oh, yeah, 13 00:00:40,640 --> 00:00:43,480 Speaker 1: that was fun. That wears off, right, it wears off. 14 00:00:43,520 --> 00:00:46,640 Speaker 1: I was pretty groggy for most of the day yesterday. 15 00:00:46,760 --> 00:00:50,839 Speaker 1: I slept for a few hours after. But yeah, you 16 00:00:50,920 --> 00:00:53,280 Speaker 1: gotta do what you gotta do, right Ken. You gotta 17 00:00:53,320 --> 00:00:56,880 Speaker 1: take those you gotta take those precautions. Yeah, you know, 18 00:00:57,080 --> 00:00:58,800 Speaker 1: I don't know that keeps seeing those poop in a 19 00:00:58,800 --> 00:01:01,160 Speaker 1: box commercials, right, the one where you send your poop 20 00:01:01,160 --> 00:01:03,600 Speaker 1: in and analyze it. Yeah, no, I think you need 21 00:01:03,640 --> 00:01:05,600 Speaker 1: to have it. Yeah, I might try. No, John, you've 22 00:01:05,600 --> 00:01:07,959 Speaker 1: never had a colonoscopy. You need to get one. That 23 00:01:08,000 --> 00:01:10,880 Speaker 1: poop in the box will work. No, I think for 24 00:01:10,959 --> 00:01:13,160 Speaker 1: your first one you need you need to go old school. 25 00:01:13,440 --> 00:01:15,960 Speaker 1: If you don't have a family history of colon cancer, 26 00:01:16,000 --> 00:01:18,759 Speaker 1: I don't think John does. No, I don't times say 27 00:01:18,800 --> 00:01:22,240 Speaker 1: that can be I don't have a family history. You 28 00:01:22,319 --> 00:01:25,280 Speaker 1: have a family history of anything. No, But here's the thing. 29 00:01:25,360 --> 00:01:30,600 Speaker 1: Colon cancer detected early, right, is very treatable, and if 30 00:01:30,600 --> 00:01:33,160 Speaker 1: it's not detected early, it can be fatal. So why 31 00:01:33,280 --> 00:01:37,199 Speaker 1: take the chance. Do you have any polyps? Nope? Nope. Wow, 32 00:01:37,240 --> 00:01:42,119 Speaker 1: you're a polyp free being a vegan Dutch John. Oh yeah, 33 00:01:42,360 --> 00:01:44,000 Speaker 1: that had a lot to do with it. Core one 34 00:01:44,040 --> 00:01:47,640 Speaker 1: for the vegan, right, yeah, the fruits and vegetables clean 35 00:01:47,640 --> 00:01:54,640 Speaker 1: you out, that's right, right, vegan no growths, No, you have, John, See, 36 00:01:54,640 --> 00:01:57,520 Speaker 1: that's why he needs to go get checked. Do you 37 00:01:57,600 --> 00:01:59,800 Speaker 1: want to look feel No? I didn't say I want. 38 00:02:00,240 --> 00:02:03,280 Speaker 1: I'm talking to him. I don't think wants either. First 39 00:02:03,280 --> 00:02:05,240 Speaker 1: time I really learned that word and heard more about 40 00:02:05,240 --> 00:02:07,680 Speaker 1: it was when Reagan did that. Remember Ronald Reagan was president. 41 00:02:07,720 --> 00:02:10,040 Speaker 1: He had a colon Oscarby and they snipped some pollups 42 00:02:10,240 --> 00:02:13,200 Speaker 1: presidential That was a big deal and sort of to 43 00:02:13,360 --> 00:02:18,680 Speaker 1: raise more awareness around the whole issue. Of course, there's 44 00:02:19,000 --> 00:02:20,960 Speaker 1: you know, there's more rain coming. People are making a 45 00:02:20,960 --> 00:02:23,520 Speaker 1: big deal of it, but it's nothing like last week's rain, 46 00:02:23,639 --> 00:02:26,040 Speaker 1: So let's not get worked up over. We will talk 47 00:02:26,120 --> 00:02:27,840 Speaker 1: later on in the show about what's going on though 48 00:02:27,840 --> 00:02:30,520 Speaker 1: out in San Berdardino in the mountains where people are 49 00:02:30,560 --> 00:02:36,799 Speaker 1: really uh trually without food, without food. Yeah, they sound desperate. 50 00:02:36,880 --> 00:02:39,560 Speaker 1: I was hoping John, you know the area, maybe you 51 00:02:39,560 --> 00:02:41,400 Speaker 1: could plow your way through there and help them. You 52 00:02:41,440 --> 00:02:44,960 Speaker 1: have a home, they're screwed. Um No. I got pictures 53 00:02:45,000 --> 00:02:49,799 Speaker 1: of our development that we uh have our other house at, 54 00:02:49,919 --> 00:02:53,200 Speaker 1: and I couldn't get into our place if I wanted to. 55 00:02:53,240 --> 00:02:56,200 Speaker 1: I couldn't even get through the front gate. Oh, couldn't 56 00:02:56,240 --> 00:02:58,520 Speaker 1: couldn't make it anywhere near the house. I mean, people 57 00:02:58,520 --> 00:03:01,800 Speaker 1: are my wife. I want you to bring food and 58 00:03:01,800 --> 00:03:04,960 Speaker 1: water and diapers. It's always about dopers. So they they 59 00:03:05,400 --> 00:03:09,480 Speaker 1: had this uh these TV stories. I think we mentioned 60 00:03:09,480 --> 00:03:14,360 Speaker 1: this yesterday about the husbands who they air be embid 61 00:03:14,440 --> 00:03:17,600 Speaker 1: with their families and the husbands are sent down to 62 00:03:17,639 --> 00:03:21,320 Speaker 1: walk to the grocery store. You have to walk a 63 00:03:21,360 --> 00:03:24,400 Speaker 1: couple of miles down the hill to get to Jensen's 64 00:03:24,400 --> 00:03:27,120 Speaker 1: in Lake Arrowhead. It's actually in the blue Jay section. 65 00:03:27,720 --> 00:03:30,480 Speaker 1: And it was five hours. These two guys went out 66 00:03:30,520 --> 00:03:33,799 Speaker 1: to collect groceries for their families. Five hour carry though 67 00:03:33,880 --> 00:03:36,360 Speaker 1: really literally, I mean, but a couple of bags each, 68 00:03:37,360 --> 00:03:40,440 Speaker 1: and you're walking on the snow and ice, and you're 69 00:03:40,480 --> 00:03:42,880 Speaker 1: going up a steep hill or down a steepie. That's 70 00:03:42,880 --> 00:03:46,040 Speaker 1: a good time to get a donkey. Yeah, donkey would 71 00:03:46,040 --> 00:03:48,920 Speaker 1: be real good. That's not fair to the donkey. Oh no, 72 00:03:49,000 --> 00:03:51,400 Speaker 1: they can navigate that easily and they enjoy the fun. No, 73 00:03:51,520 --> 00:03:54,280 Speaker 1: donkeys don't mind. They're bread to carry. Don't you think 74 00:03:54,320 --> 00:03:56,920 Speaker 1: donkeys want to want to work like we do in 75 00:03:57,000 --> 00:04:01,200 Speaker 1: these point in these conditions, you think animals all want 76 00:04:01,200 --> 00:04:03,160 Speaker 1: to be retired. They all want to laze about and 77 00:04:03,160 --> 00:04:05,600 Speaker 1: just graze all days. They want to be pet and loved. 78 00:04:05,920 --> 00:04:07,680 Speaker 1: If I was a donkey, I'd want to go to work. 79 00:04:07,720 --> 00:04:09,760 Speaker 1: Well after they come back with the food, all pet 80 00:04:09,760 --> 00:04:11,320 Speaker 1: them and love them. But yeah, but they don't want 81 00:04:11,320 --> 00:04:13,800 Speaker 1: to work in these crazy conditions with the snow and 82 00:04:13,880 --> 00:04:16,159 Speaker 1: the wind and the rain. Oh, I think they'd enjoy 83 00:04:16,240 --> 00:04:19,200 Speaker 1: the challenge and the fun. So they they these families 84 00:04:19,360 --> 00:04:22,360 Speaker 1: literally are down to nothing. And you know, I get 85 00:04:22,440 --> 00:04:25,720 Speaker 1: I understand. Didn't they stock up the storm was predicted? No, 86 00:04:25,760 --> 00:04:27,320 Speaker 1: I would be like you, you knew this is coming. 87 00:04:27,360 --> 00:04:28,880 Speaker 1: Why are you up there? Why did you even stay 88 00:04:28,960 --> 00:04:31,000 Speaker 1: up there? Ye find another place to hang out for 89 00:04:31,000 --> 00:04:36,479 Speaker 1: a few days, right exact, blah blah uh. The storm 90 00:04:36,640 --> 00:04:40,440 Speaker 1: was well telegraphed for several days. It was. They said 91 00:04:40,440 --> 00:04:42,520 Speaker 1: it was going to be several feet of snow, and 92 00:04:42,680 --> 00:04:45,680 Speaker 1: I know in Lake Arrow like a month's worth of food. 93 00:04:46,120 --> 00:04:48,919 Speaker 1: The snow depth at Lake Arrowhead as if yesterday was 94 00:04:48,960 --> 00:04:52,040 Speaker 1: forty six inches high. Up in Big Bear it was 95 00:04:52,080 --> 00:04:55,880 Speaker 1: fifty seven inches, almost six feet. And then another one 96 00:04:55,920 --> 00:04:59,200 Speaker 1: to three feet of snow is falling now and over 97 00:04:59,200 --> 00:05:03,640 Speaker 1: the next day or two. So there's there's uh much 98 00:05:03,680 --> 00:05:06,520 Speaker 1: of this was predicted. So I don't really understand going 99 00:05:06,600 --> 00:05:09,599 Speaker 1: up there, and you have to just load your people. 100 00:05:09,960 --> 00:05:12,520 Speaker 1: Just don't want to waste the food, but sometimes you 101 00:05:12,600 --> 00:05:15,320 Speaker 1: have to, or at least have lots of frozen stuff. 102 00:05:15,360 --> 00:05:17,480 Speaker 1: There is this a mix of people that live up 103 00:05:17,480 --> 00:05:19,280 Speaker 1: there and then people that have second homes like you 104 00:05:19,480 --> 00:05:21,360 Speaker 1: is that what it is? Or yes? And then there 105 00:05:21,360 --> 00:05:24,400 Speaker 1: are people who are doing the airbnb routine, right, They're 106 00:05:24,440 --> 00:05:26,880 Speaker 1: just they wanted to enjoy like snowing up there, and 107 00:05:27,400 --> 00:05:32,360 Speaker 1: increasingly that's become a big component of Lake Arrowhead and 108 00:05:32,760 --> 00:05:34,839 Speaker 1: a lot of other places around the country. I mean, 109 00:05:35,160 --> 00:05:38,000 Speaker 1: people are buying up properties just to air b and 110 00:05:38,040 --> 00:05:40,840 Speaker 1: b them and make a pretty good profit because if 111 00:05:40,880 --> 00:05:44,360 Speaker 1: your ran them out consistently, you can easily cover your 112 00:05:44,360 --> 00:05:47,080 Speaker 1: mortgage and other instance. Yeah, that's why there's so much 113 00:05:47,120 --> 00:05:49,440 Speaker 1: riff raff and problems. Yeah. Right, and then and then 114 00:05:49,480 --> 00:05:52,520 Speaker 1: the locals and I know this is going on Florida, 115 00:05:52,600 --> 00:05:55,839 Speaker 1: this is going on Arizona. I go out every year 116 00:05:55,839 --> 00:05:58,640 Speaker 1: to Arizona with meeting some of my friends to watch 117 00:05:58,680 --> 00:06:01,760 Speaker 1: spring training games, and the whole town is nothing but 118 00:06:01,960 --> 00:06:08,440 Speaker 1: tourists doing airbnb rentals. Because like the Chicago Cubs playing Scottsdale, 119 00:06:08,800 --> 00:06:11,920 Speaker 1: which is where we go, and you know, there's tens 120 00:06:11,920 --> 00:06:14,839 Speaker 1: of thousands of cub fans and they come down for 121 00:06:14,920 --> 00:06:17,640 Speaker 1: sometimes weeks at a time and they're they're they're they're 122 00:06:17,640 --> 00:06:20,359 Speaker 1: bolting out of Chicago in that winter and they're in 123 00:06:20,400 --> 00:06:24,200 Speaker 1: they're in nice suburban homes, three four bedroom homes and 124 00:06:24,920 --> 00:06:27,400 Speaker 1: it's a good deal. I mean this, this didn't exist 125 00:06:27,560 --> 00:06:29,000 Speaker 1: years ago. You had to, you know, deal with the 126 00:06:29,040 --> 00:06:33,000 Speaker 1: local hotels. But now you run a nice house and 127 00:06:33,000 --> 00:06:34,720 Speaker 1: they keep them nice and they ran them for a 128 00:06:34,760 --> 00:06:36,320 Speaker 1: lot of money. But if you bring a bunch of people, 129 00:06:36,360 --> 00:06:38,719 Speaker 1: you divide the cost. It's it's it's a good time. 130 00:06:39,720 --> 00:06:44,920 Speaker 1: Now back here. The other day, Mayor Karen Bassetti sent 131 00:06:45,000 --> 00:06:47,880 Speaker 1: out a tweet. This was when we're really getting hit 132 00:06:47,920 --> 00:06:50,880 Speaker 1: there on Friday. This storm is a matter of life 133 00:06:50,880 --> 00:06:53,680 Speaker 1: and death for many of our unhoused neighbors. If you 134 00:06:53,760 --> 00:06:56,159 Speaker 1: know someone who's unhoused, or if you see tents near 135 00:06:56,200 --> 00:06:58,880 Speaker 1: you help them find shelter. We can all play a 136 00:06:58,960 --> 00:07:03,520 Speaker 1: role and help helping Angelino's come inside. And I guess 137 00:07:03,560 --> 00:07:09,760 Speaker 1: there was a bit of a response tweets. The Times 138 00:07:09,760 --> 00:07:11,840 Speaker 1: also had a story that bothered me too. There are 139 00:07:11,880 --> 00:07:14,400 Speaker 1: not enough beds to get the house the homeless indoors 140 00:07:14,480 --> 00:07:17,120 Speaker 1: during these stormy times. They're not all looking for beds. 141 00:07:17,120 --> 00:07:20,440 Speaker 1: Stop kidding yourself, because again they know that means is 142 00:07:20,480 --> 00:07:23,200 Speaker 1: gonna be rolls right. You're not gonna like my drinking 143 00:07:23,280 --> 00:07:25,480 Speaker 1: and my drug use and my mental illness. And then 144 00:07:25,480 --> 00:07:27,640 Speaker 1: there's other crazy people in there. We've been through this 145 00:07:27,720 --> 00:07:30,440 Speaker 1: so many times, but these stories always portrayed like all 146 00:07:30,480 --> 00:07:32,720 Speaker 1: of these homeless people just want to be inside. It's 147 00:07:32,720 --> 00:07:35,120 Speaker 1: just not true, you know, it's not. Some people like 148 00:07:35,240 --> 00:07:37,239 Speaker 1: living off the grid and out of your rule system. 149 00:07:37,320 --> 00:07:40,080 Speaker 1: What's funny about her tweets is she got it from 150 00:07:40,120 --> 00:07:44,560 Speaker 1: the normal people and also the left wing vagrant fanatics. 151 00:07:45,720 --> 00:07:49,160 Speaker 1: She got it from all sides. One woman named Alison said, 152 00:07:49,160 --> 00:07:51,600 Speaker 1: I want to see the homeless fentnol attics s at 153 00:07:51,640 --> 00:07:54,600 Speaker 1: your family dinner table, relaxing on your couch tonight. Don't 154 00:07:54,640 --> 00:07:57,360 Speaker 1: be shy show us the picks because you would never 155 00:07:57,400 --> 00:08:00,000 Speaker 1: suggest others share their homes without doing it first, right. 156 00:08:00,720 --> 00:08:02,840 Speaker 1: I don't think that's what best Setti was saying. She 157 00:08:02,920 --> 00:08:05,560 Speaker 1: just wanted to help them find shelter, like help them 158 00:08:05,560 --> 00:08:08,640 Speaker 1: find a public shelter. I don't think she literally meant 159 00:08:08,640 --> 00:08:11,440 Speaker 1: to take them to your home. With all these methadics 160 00:08:11,960 --> 00:08:16,160 Speaker 1: stumbled around and all the weapons they hold. I'm gonna 161 00:08:16,200 --> 00:08:18,800 Speaker 1: go out to the local encampment and say, hey, guys, 162 00:08:18,880 --> 00:08:22,240 Speaker 1: I'll drive you over to the shelter. Please come in 163 00:08:22,280 --> 00:08:25,240 Speaker 1: my car. It's raining, you must be cold, and then 164 00:08:25,240 --> 00:08:30,800 Speaker 1: I'll get stabbed in the neck, and then one really 165 00:08:30,800 --> 00:08:32,640 Speaker 1: are you kidding? First of off, they shouldn't even be 166 00:08:32,679 --> 00:08:34,920 Speaker 1: out there in it. I'm all for helping people, but 167 00:08:35,000 --> 00:08:37,800 Speaker 1: they need to help themselves too. That's always been my opinion. 168 00:08:38,240 --> 00:08:41,360 Speaker 1: We got all start holding people responsible. We cannot take 169 00:08:41,360 --> 00:08:43,720 Speaker 1: care of all of these people if they do not 170 00:08:43,920 --> 00:08:46,400 Speaker 1: step up and come at least two thirds of the 171 00:08:46,440 --> 00:08:50,920 Speaker 1: way to get some get something done. All that ever 172 00:08:50,920 --> 00:08:53,120 Speaker 1: happens when the media talks him is they got long 173 00:08:53,360 --> 00:08:58,880 Speaker 1: stories about all their trouble. Gets your act together. Here's 174 00:08:58,880 --> 00:09:02,080 Speaker 1: another way. This is one of my favorites. Uh some uh, 175 00:09:02,760 --> 00:09:06,240 Speaker 1: some somebody who calls himself far Ast Tucker help them 176 00:09:06,280 --> 00:09:09,600 Speaker 1: to find shelter. How many did you personally help? I 177 00:09:09,760 --> 00:09:12,840 Speaker 1: see a homeless druggie, I get far away. This rain 178 00:09:12,920 --> 00:09:14,520 Speaker 1: may give them a chance to reflect on all the 179 00:09:14,559 --> 00:09:17,319 Speaker 1: bad decisions they've made that led them to their current 180 00:09:17,400 --> 00:09:22,319 Speaker 1: standing in life. Even Jesus would say, wtf, oh wow, 181 00:09:25,800 --> 00:09:30,000 Speaker 1: even Jesus, Wow, that's just a nice little cartoon in 182 00:09:30,040 --> 00:09:35,600 Speaker 1: my head, Jesus looking down and pile a homeless people 183 00:09:35,640 --> 00:09:43,680 Speaker 1: and going what And then people yell, the homeless fetishists 184 00:09:43,720 --> 00:09:49,080 Speaker 1: yelling at her because there's not enough shelter, not enough services. Yeah, 185 00:09:49,200 --> 00:09:52,280 Speaker 1: a lot of this is negative, you're right, yeah, yeah, 186 00:09:52,280 --> 00:09:54,360 Speaker 1: oh yeah. Someone wrote the homeless didn't want to shelter 187 00:09:54,400 --> 00:09:56,400 Speaker 1: because they can't use drugs or alcohol in this shelter. 188 00:09:56,800 --> 00:09:59,160 Speaker 1: There are plenty of shelters available now. They stopped giving 189 00:09:59,160 --> 00:10:01,360 Speaker 1: taxilars to people. Take that free money and slam it 190 00:10:01,360 --> 00:10:05,480 Speaker 1: in their arm. Poor policies created the mess LA's in today, Yeah, 191 00:10:05,520 --> 00:10:08,400 Speaker 1: which is certainly likely true. The first part of that. 192 00:10:08,480 --> 00:10:11,040 Speaker 1: They don't want to be in a place where there's rules. 193 00:10:11,080 --> 00:10:13,960 Speaker 1: They're not asking for that because it means that they 194 00:10:14,000 --> 00:10:17,880 Speaker 1: have to capitulate to society again, which they've kind of rejected. 195 00:10:18,840 --> 00:10:21,679 Speaker 1: All Right, we got more coming up, Johnny ken KF 196 00:10:21,720 --> 00:10:24,600 Speaker 1: I am six forty live everywhere the iHeartRadio app, and 197 00:10:24,600 --> 00:10:27,240 Speaker 1: it'll come back just that quickly. In three days, it'll 198 00:10:27,240 --> 00:10:30,480 Speaker 1: be time for mooiceline callers, So start leaving your messages. 199 00:10:30,640 --> 00:10:34,360 Speaker 1: Use the iHeart Radio app, a little microphone icon, or 200 00:10:34,400 --> 00:10:37,760 Speaker 1: call the old toll free number one eight seven seven 201 00:10:38,000 --> 00:10:42,440 Speaker 1: moist eighty six one eight seven seven six six four 202 00:10:43,000 --> 00:10:47,280 Speaker 1: seven eight eight six. I like this headline. Savannah Guthrie 203 00:10:47,320 --> 00:10:50,480 Speaker 1: exit the Today Show mid broadcasts and test positive for 204 00:10:50,520 --> 00:10:53,800 Speaker 1: COVID nineteen again to what the results came in while 205 00:10:53,840 --> 00:10:55,760 Speaker 1: she was on the air and he had to run off. Yeah, 206 00:10:55,800 --> 00:10:58,640 Speaker 1: she felt sick and she taken a test and she 207 00:10:58,720 --> 00:11:01,840 Speaker 1: got the test result in the middle, she was well, 208 00:11:01,880 --> 00:11:05,640 Speaker 1: she was anchoring and so yeah, so she bolted. It 209 00:11:05,679 --> 00:11:08,480 Speaker 1: is the third time she's had it. M So, I 210 00:11:08,480 --> 00:11:12,880 Speaker 1: don't know where she's socializing and what happened to why 211 00:11:12,880 --> 00:11:16,319 Speaker 1: am I doing this? Hoda Kotby is missing amid puzzling 212 00:11:16,360 --> 00:11:21,040 Speaker 1: absence today's show, viewers expressed concern. I don't know, Oh, 213 00:11:21,040 --> 00:11:23,840 Speaker 1: I can't. You know, I can't keep track of everybody. No, 214 00:11:24,040 --> 00:11:27,000 Speaker 1: I know, I know you do, right, So they had 215 00:11:27,080 --> 00:11:29,760 Speaker 1: the amendroom attendant filling in as the anchor. How is 216 00:11:29,760 --> 00:11:34,120 Speaker 1: that right? Yeah? They were two downs, so fay. Yesterday 217 00:11:34,120 --> 00:11:36,880 Speaker 1: around this time, we gave you an update on loser 218 00:11:37,080 --> 00:11:42,720 Speaker 1: disgrace to former mayor Eric Garcetti and his bid that's 219 00:11:42,760 --> 00:11:44,400 Speaker 1: now been going on for over a year and a 220 00:11:44,440 --> 00:11:49,760 Speaker 1: half to become the next ambassador to India. The process 221 00:11:49,920 --> 00:11:54,000 Speaker 1: was to start all over again after its stalled last 222 00:11:54,080 --> 00:11:56,760 Speaker 1: year because a couple of senators had concerns, of course, 223 00:11:57,520 --> 00:12:01,920 Speaker 1: about Garcetti's lying about knowledge he had of what his 224 00:12:02,120 --> 00:12:07,120 Speaker 1: top aide Rick Jacobs was doing too fellow employees and 225 00:12:07,240 --> 00:12:12,840 Speaker 1: the mayor's office sexual harassment behavior. So the nomination stalled, 226 00:12:13,440 --> 00:12:16,040 Speaker 1: and because we start the new year, it's new congress, 227 00:12:16,480 --> 00:12:19,680 Speaker 1: Biden had to renominate him. He did. Then immediately there 228 00:12:19,760 --> 00:12:21,880 Speaker 1: was a hole to put on. The nomination stalled. Again, 229 00:12:22,240 --> 00:12:27,160 Speaker 1: it's already stalled. If Garsetti was a plane, he'd crashed 230 00:12:27,160 --> 00:12:30,840 Speaker 1: and burned. Yeah, there was a rumor that Garsetti's going 231 00:12:30,840 --> 00:12:34,360 Speaker 1: to Ukraine. We don't know why, but maybe we'll get 232 00:12:34,400 --> 00:12:38,640 Speaker 1: a job there now. The other du fist that there's 233 00:12:38,640 --> 00:12:43,559 Speaker 1: a short update on is the disgraced still La City 234 00:12:43,559 --> 00:12:46,760 Speaker 1: council member Kevin de Leone or Kevin Leone because he 235 00:12:46,800 --> 00:12:52,600 Speaker 1: added the de to emphasize Latino heritage years ago, he 236 00:12:52,720 --> 00:12:56,679 Speaker 1: was going to have a screening by This is really pathetic, 237 00:12:57,200 --> 00:13:00,760 Speaker 1: And of course he's been in controversy because of those 238 00:13:00,800 --> 00:13:04,040 Speaker 1: recorded conversations where he and two other council people were 239 00:13:04,040 --> 00:13:07,160 Speaker 1: talking about redistricting and went off on a whole rant 240 00:13:07,200 --> 00:13:12,400 Speaker 1: about other populations. Um, they weren't going to screen the 241 00:13:12,440 --> 00:13:17,680 Speaker 1: movie Black Panther, What Kanda forever? It was a Kevin 242 00:13:17,800 --> 00:13:22,560 Speaker 1: daily One event. I guess to curry favor with the 243 00:13:22,600 --> 00:13:29,560 Speaker 1: black What's what's a councilman doing holding movie screenings? Just 244 00:13:29,600 --> 00:13:32,800 Speaker 1: one of those little community He's got nothing else to do, 245 00:13:35,040 --> 00:13:39,960 Speaker 1: it says here in the time story. Five people RSVP 246 00:13:40,160 --> 00:13:42,480 Speaker 1: that they were going to show up five It was 247 00:13:42,480 --> 00:13:48,200 Speaker 1: announced on Facebook, but the screening was postponed and the 248 00:13:48,280 --> 00:13:52,640 Speaker 1: excuse was the bad weather due to the next heavy 249 00:13:52,640 --> 00:13:55,360 Speaker 1: storm and continued rainy weather. I don't see the point. 250 00:13:56,520 --> 00:14:00,400 Speaker 1: Everybody can watch this thing at home, right they can? Well, 251 00:14:00,400 --> 00:14:02,680 Speaker 1: what I don't understand and why would he host it? 252 00:14:02,800 --> 00:14:08,400 Speaker 1: I think it's really screaming. Is his pandering that blatant um? 253 00:14:08,640 --> 00:14:12,240 Speaker 1: Yes it is. Wow. He really is a dunce, isn't he? 254 00:14:12,720 --> 00:14:17,080 Speaker 1: They were He thinks he's gonna win over offended people 255 00:14:18,080 --> 00:14:22,040 Speaker 1: by by hosting a black panther movie. And not lost 256 00:14:22,080 --> 00:14:25,000 Speaker 1: on anybody was the fact that the screening was scheduled 257 00:14:25,000 --> 00:14:32,760 Speaker 1: for today Today is the last day of Black History Month. Wow, 258 00:14:33,280 --> 00:14:37,320 Speaker 1: what a dufus. I don't have any knowledge of how 259 00:14:37,360 --> 00:14:42,440 Speaker 1: the recall efforts going. Probably I saw conflicting stories. I've 260 00:14:42,440 --> 00:14:45,520 Speaker 1: heard them say personally they're doing well, but I've heard 261 00:14:45,520 --> 00:14:50,120 Speaker 1: other stories that they're running into a resistance and getting signatures. 262 00:14:50,160 --> 00:14:54,000 Speaker 1: Nobody cares that. That's one of the lowest voting turnout 263 00:14:54,040 --> 00:14:59,440 Speaker 1: districts in the city. I'm hardly anybody shows up to vote, 264 00:14:59,480 --> 00:15:02,080 Speaker 1: and most the people who showed up voted for de Leone, 265 00:15:02,560 --> 00:15:05,760 Speaker 1: and presumably a lot of them like like them, or 266 00:15:05,800 --> 00:15:10,520 Speaker 1: at least don't care enough to want to recall them. Ads. Well, 267 00:15:10,760 --> 00:15:12,720 Speaker 1: I mean that if you pay enough money and you 268 00:15:12,760 --> 00:15:16,160 Speaker 1: get those people out there with their petitions, you can 269 00:15:16,200 --> 00:15:18,280 Speaker 1: usually get people to sign. But maybe they're not finding 270 00:15:18,320 --> 00:15:21,640 Speaker 1: registered voters or that's right. You need registered voters and 271 00:15:21,720 --> 00:15:24,800 Speaker 1: you need people willing to, you know, to participate, and 272 00:15:25,000 --> 00:15:28,560 Speaker 1: the participation rate in that district's pretty low. I mean, 273 00:15:28,600 --> 00:15:31,640 Speaker 1: you really have to like find almost everybody who voted 274 00:15:31,840 --> 00:15:35,440 Speaker 1: to sign your petition. It's and a third story of 275 00:15:35,480 --> 00:15:39,280 Speaker 1: disgrace politicians brings us to the woman that used to 276 00:15:39,360 --> 00:15:43,400 Speaker 1: head up the California Department of Labor, responsible for the 277 00:15:43,440 --> 00:15:48,000 Speaker 1: Employment Development Department, responsible for the debacle that led to 278 00:15:48,120 --> 00:15:53,560 Speaker 1: over thirty billion dollars in fraud taxpayer money that went 279 00:15:53,640 --> 00:15:57,320 Speaker 1: out to thieves from the prison system all the way 280 00:15:57,360 --> 00:16:00,480 Speaker 1: to Eastern Europe and around the world. Her name is 281 00:16:00,560 --> 00:16:03,200 Speaker 1: Julie Sue. And the reason she was responsible is she's 282 00:16:03,240 --> 00:16:06,640 Speaker 1: the one that opened the floodgates when the pandemics started 283 00:16:06,680 --> 00:16:11,040 Speaker 1: three years ago. She said, basically, let's just suspend a 284 00:16:11,120 --> 00:16:14,600 Speaker 1: lot of the certification procedures, no security. Sure, these people 285 00:16:14,640 --> 00:16:17,360 Speaker 1: get their money, Come take what you want, right, we 286 00:16:17,480 --> 00:16:20,640 Speaker 1: got to open the vault. We have thirty billion here. Hey, 287 00:16:20,680 --> 00:16:24,560 Speaker 1: everybody in the world, come send us an application. We'll 288 00:16:24,600 --> 00:16:29,800 Speaker 1: send you the money. No questions asked. Well, today she 289 00:16:29,960 --> 00:16:34,320 Speaker 1: is moving to the top of the bowl. Today the 290 00:16:34,360 --> 00:16:37,440 Speaker 1: Biden administration announced they've officially nominated her to be the 291 00:16:37,560 --> 00:16:42,160 Speaker 1: United States next Secretary of Labor. Oh, that's unbelievable. That 292 00:16:42,360 --> 00:16:46,920 Speaker 1: is unbelievable, because you know what, there is bumbling incompetence, 293 00:16:47,160 --> 00:16:49,920 Speaker 1: and then there's this when you open the door to 294 00:16:50,160 --> 00:16:54,040 Speaker 1: thirty billion dollars worth of fraud, and the fraud happens 295 00:16:54,560 --> 00:16:58,040 Speaker 1: under your nose every day for months and months and months, 296 00:16:58,400 --> 00:17:02,680 Speaker 1: right every day, the millions and millions of dollars being 297 00:17:02,760 --> 00:17:06,399 Speaker 1: stolen from California taxpayers. And she sat there the whole 298 00:17:06,440 --> 00:17:10,040 Speaker 1: time knowing it was happening. Because if I always say, 299 00:17:10,119 --> 00:17:13,920 Speaker 1: imagine yourself, if you have this job and you're you're 300 00:17:13,920 --> 00:17:16,719 Speaker 1: in charge, and you've got billions and billions of dollars, 301 00:17:16,760 --> 00:17:20,080 Speaker 1: tens of billions to give away, and you decide no 302 00:17:20,200 --> 00:17:25,920 Speaker 1: security measures, no background checks, no proof, no certification, no nothing. Well, 303 00:17:25,960 --> 00:17:28,800 Speaker 1: you would know what would happen? You did say, well, 304 00:17:28,800 --> 00:17:30,960 Speaker 1: wait a second, we have to have that otherwise people 305 00:17:31,000 --> 00:17:34,439 Speaker 1: are gonna steal money. She didn't care. She knew what 306 00:17:34,480 --> 00:17:37,040 Speaker 1: was happening, and she didn't care. And so now she's 307 00:17:37,080 --> 00:17:39,280 Speaker 1: going to be the Labor Secretary of the United States 308 00:17:39,320 --> 00:17:42,840 Speaker 1: of America. Yeah, Brich reports first came from the left 309 00:17:42,880 --> 00:17:46,119 Speaker 1: wing outfits Politico at NBC News, which makes no mention 310 00:17:46,160 --> 00:17:49,480 Speaker 1: of the EDD fraud. Instead, the statement from the Biden 311 00:17:49,480 --> 00:17:51,960 Speaker 1: administration is that she cracked down on wage s, theft, 312 00:17:52,200 --> 00:17:55,120 Speaker 1: fought to protect trafficked workers. Wow, it's all of these 313 00:17:55,119 --> 00:17:59,160 Speaker 1: woke no. Yeah, and she'll be the first Asian American 314 00:17:59,200 --> 00:18:02,880 Speaker 1: to serve in cabinet position. Of course, what he missed 315 00:18:03,400 --> 00:18:06,960 Speaker 1: an Asian in his cabinet? I thought he covered everybody. Yeah, 316 00:18:07,000 --> 00:18:10,400 Speaker 1: I guess he did. Had that happened, because Wow, the 317 00:18:10,400 --> 00:18:13,720 Speaker 1: woke left thinks that Asians they're doing okay, all right, 318 00:18:13,840 --> 00:18:18,359 Speaker 1: So this is unbelievable. Sometimes pick is somebody gonna some 319 00:18:18,440 --> 00:18:22,600 Speaker 1: senator gonna put a hold on this nomination, and now 320 00:18:22,680 --> 00:18:25,679 Speaker 1: you should, You're right, give her a thorough scouring over this, 321 00:18:25,680 --> 00:18:29,800 Speaker 1: this massive fraud, because she did this wilfully. She wilfully 322 00:18:29,880 --> 00:18:33,080 Speaker 1: suspended the security measures. And you he definitely know that 323 00:18:33,080 --> 00:18:36,200 Speaker 1: what what that would lead to? How he gave me okay, 324 00:18:36,240 --> 00:18:38,240 Speaker 1: and then it took them way too long to pull back, 325 00:18:38,240 --> 00:18:40,159 Speaker 1: and then when they did, they went so far in 326 00:18:40,200 --> 00:18:42,720 Speaker 1: the other direction. A lot of people were denied their money, 327 00:18:43,040 --> 00:18:46,280 Speaker 1: remember that whole fiasco. They got crazy and trying to 328 00:18:46,440 --> 00:18:49,399 Speaker 1: or strict flow. What does it take to disqualify you 329 00:18:49,480 --> 00:18:55,439 Speaker 1: as a candidate, anything at all? Anything even blowing thirty 330 00:18:55,440 --> 00:19:00,000 Speaker 1: billion dollars? All right, we got more coming up to 331 00:19:00,160 --> 00:19:02,679 Speaker 1: in ken caf. I am six forty live everywhere in 332 00:19:02,680 --> 00:19:06,879 Speaker 1: the iHeartRadio app. I feel like I'm insane. Yeah. Officials 333 00:19:06,880 --> 00:19:09,560 Speaker 1: have declared a state of emergency in San Berardino County, 334 00:19:09,680 --> 00:19:11,680 Speaker 1: particularly because of what the storms did to people living 335 00:19:11,720 --> 00:19:15,040 Speaker 1: in the mountain areas. We'll talk about it with kfi's 336 00:19:15,160 --> 00:19:18,680 Speaker 1: Blake Trolley, who's covering the story, and the horse has 337 00:19:18,720 --> 00:19:22,199 Speaker 1: some of the people talking about their needs. Coming up 338 00:19:22,280 --> 00:19:27,880 Speaker 1: after the news at two o'clock. We saw this story 339 00:19:27,960 --> 00:19:29,639 Speaker 1: last week. We didn't get a chance to get to it, 340 00:19:29,680 --> 00:19:35,600 Speaker 1: but Judicial Watch has announced that more than one point 341 00:19:35,680 --> 00:19:41,639 Speaker 1: two million voter names have been removed from the voter 342 00:19:41,800 --> 00:19:47,480 Speaker 1: rolls in Los Angeles County since twenty twenty two. Judicial 343 00:19:47,520 --> 00:19:52,640 Speaker 1: Watch sued over this. LA County, like probably many counties 344 00:19:52,640 --> 00:19:56,240 Speaker 1: in California, does little to clean up its voter rolls. 345 00:19:56,440 --> 00:20:00,320 Speaker 1: I can't tell you. Every time there's a vote, we 346 00:20:00,520 --> 00:20:04,000 Speaker 1: get emails from listeners way out of state who have 347 00:20:04,080 --> 00:20:09,320 Speaker 1: been gone for years claiming they're still getting vote voters roles, 348 00:20:09,359 --> 00:20:12,600 Speaker 1: they're still getting ballots in the mail. I guess they 349 00:20:12,600 --> 00:20:14,399 Speaker 1: get forwarded to them and their new address, like in 350 00:20:14,400 --> 00:20:17,880 Speaker 1: Tennessee in places like that, they so they know these 351 00:20:17,920 --> 00:20:23,040 Speaker 1: people moved, they had their new addresses across the country, 352 00:20:23,320 --> 00:20:25,840 Speaker 1: and they send them an LA ballot. Anyway, No, I 353 00:20:25,920 --> 00:20:30,000 Speaker 1: think what happens is the post Office forwards forward their 354 00:20:30,000 --> 00:20:31,800 Speaker 1: mail whenever you're yet and they do that for a 355 00:20:31,840 --> 00:20:34,240 Speaker 1: period of time. I don't know how many years after 356 00:20:34,280 --> 00:20:36,320 Speaker 1: you move, but you can continue to have mail forwarded 357 00:20:36,359 --> 00:20:38,600 Speaker 1: to your new address. So I think it goes to 358 00:20:38,680 --> 00:20:41,000 Speaker 1: the voter address in LA County and then gets bounced 359 00:20:41,000 --> 00:20:43,879 Speaker 1: by the post office to the new address. And I 360 00:20:43,920 --> 00:20:46,720 Speaker 1: can remember several of these people more than one email, 361 00:20:46,720 --> 00:20:49,720 Speaker 1: at least a dozen where they said I reached out 362 00:20:49,760 --> 00:20:52,360 Speaker 1: to them, I called, I emailed them, I told them, 363 00:20:52,760 --> 00:20:56,640 Speaker 1: removed me. I am no longer a Los Angeles County resident. 364 00:20:56,840 --> 00:21:00,600 Speaker 1: Removed me from the voter roles. Apparently to know, you'd 365 00:21:00,640 --> 00:21:03,040 Speaker 1: be better off talking to the deceased at the board, 366 00:21:04,160 --> 00:21:07,280 Speaker 1: because that's the energy level, and that's the work ethic 367 00:21:07,680 --> 00:21:12,240 Speaker 1: at the La County, the La County Registrar's office. I mean, 368 00:21:12,400 --> 00:21:17,679 Speaker 1: that's an awful, awful agency. It's really awful. And a 369 00:21:17,720 --> 00:21:22,000 Speaker 1: million two. Now, if you have a million two registered 370 00:21:22,080 --> 00:21:28,080 Speaker 1: voters who either are dead or have moved away, how 371 00:21:28,080 --> 00:21:30,800 Speaker 1: can you not have fraud? How can somebody not have 372 00:21:30,880 --> 00:21:34,040 Speaker 1: an incentive to get access to all these names and 373 00:21:34,240 --> 00:21:38,320 Speaker 1: do something with this kind of It took a while 374 00:21:38,400 --> 00:21:41,120 Speaker 1: because what the county did was this, because this lawsuit 375 00:21:41,160 --> 00:21:44,040 Speaker 1: goes back a few years, is they have to reach out. First, 376 00:21:44,480 --> 00:21:47,439 Speaker 1: they send notices and then they check to see if 377 00:21:47,440 --> 00:21:50,439 Speaker 1: you've voted at all in an election three something, including 378 00:21:50,480 --> 00:21:54,320 Speaker 1: federal elections, before they can actually because you know, it's 379 00:21:54,359 --> 00:21:56,800 Speaker 1: such a big deal, the right to vote. How dare 380 00:21:56,840 --> 00:21:59,800 Speaker 1: you take it away and suppress the voter without giving 381 00:21:59,840 --> 00:22:01,960 Speaker 1: them like a hundred chances to say, oh, no, I'm 382 00:22:02,000 --> 00:22:04,600 Speaker 1: still here, I still want to vote. So that's why 383 00:22:04,640 --> 00:22:08,040 Speaker 1: it took a while. People, well, not all of them 384 00:22:08,080 --> 00:22:10,280 Speaker 1: are dead. At A lot of them are moved people, 385 00:22:10,640 --> 00:22:12,960 Speaker 1: and a lot of them are dead. And you've seen 386 00:22:12,960 --> 00:22:15,400 Speaker 1: the numbers. Los Angeles County lost more people than any 387 00:22:15,400 --> 00:22:17,600 Speaker 1: other county in the state. I know people moving out, 388 00:22:17,640 --> 00:22:19,680 Speaker 1: but if you go on for years and years, you're 389 00:22:19,680 --> 00:22:22,199 Speaker 1: going to have thousands of dead people and they're not 390 00:22:22,240 --> 00:22:24,080 Speaker 1: going to respond no matter how many times you send 391 00:22:24,160 --> 00:22:29,439 Speaker 1: them a summons. Right. Last year, county officials revealed more 392 00:22:29,480 --> 00:22:32,320 Speaker 1: than six hundred and thirty four thousand inactive voters on 393 00:22:32,400 --> 00:22:34,760 Speaker 1: the rolls had not voted in at least ten years. 394 00:22:35,920 --> 00:22:38,840 Speaker 1: Another six hundred eighty five thousand inactive voters were listed 395 00:22:38,880 --> 00:22:41,520 Speaker 1: as not having voted in at least eight years. This 396 00:22:41,680 --> 00:22:45,680 Speaker 1: sets up front because if these people hadn't voted eight 397 00:22:45,680 --> 00:22:48,880 Speaker 1: to ten years, and they moved out and or dead, 398 00:22:48,600 --> 00:22:52,200 Speaker 1: then obviously you can vote in their name, and who's 399 00:22:52,200 --> 00:22:55,000 Speaker 1: going to object And if you get their information, you 400 00:22:55,000 --> 00:22:58,720 Speaker 1: could set up fake identification. Yeah, I suppose if you 401 00:22:59,200 --> 00:23:01,840 Speaker 1: found a way to harm the ballot, sure and so 402 00:23:02,040 --> 00:23:05,679 Speaker 1: do that. That's what ballot harvesting. It was designed is 403 00:23:05,680 --> 00:23:11,240 Speaker 1: to give moved and debt voters a chance to exercise 404 00:23:11,280 --> 00:23:14,000 Speaker 1: their franchise. I think they the way they describe it. 405 00:23:14,280 --> 00:23:16,520 Speaker 1: But then the next step would be to find out 406 00:23:16,640 --> 00:23:18,400 Speaker 1: how many of these one point two million people, because 407 00:23:18,400 --> 00:23:20,760 Speaker 1: they're saying here they're just not voting, so that's one 408 00:23:20,800 --> 00:23:23,240 Speaker 1: of the reasons they got removed. So if somebody is 409 00:23:23,280 --> 00:23:25,360 Speaker 1: taking the ballot in their name and voting for them, 410 00:23:25,359 --> 00:23:27,919 Speaker 1: that would also show up in the records. So that 411 00:23:28,000 --> 00:23:31,920 Speaker 1: may not be happening either. Well, you don't know, because 412 00:23:32,280 --> 00:23:34,160 Speaker 1: if they audit would have to be done to see 413 00:23:34,200 --> 00:23:36,480 Speaker 1: if they If they allowed a million two to stay 414 00:23:36,520 --> 00:23:39,280 Speaker 1: on the books, it means generally they don't do their 415 00:23:39,359 --> 00:23:44,200 Speaker 1: jobs at the LA County Registrar's office. Generally they're they're lazy, 416 00:23:44,240 --> 00:23:49,240 Speaker 1: they don't have a desire to do the basic work right. Well, 417 00:23:49,400 --> 00:23:53,560 Speaker 1: I mean, but the point is if somebody was fraudently 418 00:23:53,760 --> 00:23:56,960 Speaker 1: voting in their place, that would show up. The people 419 00:23:57,040 --> 00:23:59,920 Speaker 1: that they contacted were people that just have not voted 420 00:24:00,040 --> 00:24:02,600 Speaker 1: at all in elections. So, like I said, six years, 421 00:24:02,640 --> 00:24:07,280 Speaker 1: eight years, ten years, So the chances are nobody's doing that. 422 00:24:07,480 --> 00:24:13,040 Speaker 1: But still you shouldn't have that many non active voters 423 00:24:13,080 --> 00:24:16,920 Speaker 1: on your roles, so it probably wasn't a bad, bad 424 00:24:17,000 --> 00:24:22,280 Speaker 1: lawsuit to pull anyway, and that's supposedly results from it. Meanwhile, 425 00:24:22,560 --> 00:24:26,800 Speaker 1: there is a state appellate court that has issued a 426 00:24:26,880 --> 00:24:31,520 Speaker 1: ruling and this is probably one of the biggest, well, 427 00:24:31,680 --> 00:24:33,880 Speaker 1: I wouldn't say biggest, but probably one of the most 428 00:24:33,960 --> 00:24:38,920 Speaker 1: well known long time homeless encampments in the state of California. 429 00:24:38,960 --> 00:24:40,440 Speaker 1: If you've ever been up in the area of you 430 00:24:40,560 --> 00:24:44,800 Speaker 1: see Berkeley, you probably have heard of People's Park so 431 00:24:45,000 --> 00:24:47,240 Speaker 1: name because it's supposed to be a park for the people. 432 00:24:47,359 --> 00:24:50,000 Speaker 1: I've been to People's Park. I have been there too, 433 00:24:50,119 --> 00:24:54,080 Speaker 1: and yeah, a lot of them consider it very artsy. 434 00:24:54,160 --> 00:25:01,119 Speaker 1: The way people it's disgusting and frightening. The park, it 435 00:25:01,200 --> 00:25:04,000 Speaker 1: says in the Times, an iconic legacy of free speech 436 00:25:04,040 --> 00:25:08,480 Speaker 1: and civil rights in an open space with landscaping and trees, no, 437 00:25:08,800 --> 00:25:12,240 Speaker 1: how about feces and needles. Well, People's Park is part 438 00:25:12,280 --> 00:25:16,119 Speaker 1: of UC Berkeley's property, and they made a decision that 439 00:25:16,240 --> 00:25:19,520 Speaker 1: they were going to take it back and build student 440 00:25:19,600 --> 00:25:23,520 Speaker 1: housing and low income housing. The idea was to redesign 441 00:25:23,560 --> 00:25:27,520 Speaker 1: the park eleven hundred student beds along with one hundred 442 00:25:27,560 --> 00:25:31,200 Speaker 1: and twenty five beds for lower income and formerly unhoused people. 443 00:25:31,960 --> 00:25:34,200 Speaker 1: The Berkeley campus can only house twenty three percent of 444 00:25:34,240 --> 00:25:36,320 Speaker 1: its students. That's the lowest percentage in all of the 445 00:25:36,359 --> 00:25:39,879 Speaker 1: ten campus you see system. So they have a big, 446 00:25:40,040 --> 00:25:42,840 Speaker 1: big shortage of affordable campus housing. And that's why they 447 00:25:42,840 --> 00:25:45,320 Speaker 1: made the decision that we're going to build housing. And 448 00:25:45,359 --> 00:25:47,000 Speaker 1: they shark for our student and they shut up, and 449 00:25:47,000 --> 00:25:50,040 Speaker 1: they should build. And there's no value to this park 450 00:25:50,320 --> 00:25:53,360 Speaker 1: because no normal person can enjoy it. No, Now you're 451 00:25:53,359 --> 00:25:56,000 Speaker 1: gonna love this part. One of the reasons that the 452 00:25:56,040 --> 00:25:58,679 Speaker 1: first District Court of Appeal in San Francisco halted the 453 00:25:58,720 --> 00:26:03,200 Speaker 1: project is because of good old sequel, the California Environmental 454 00:26:03,280 --> 00:26:07,320 Speaker 1: Quality Act. It requires developers to analyze it mitigates a 455 00:26:07,400 --> 00:26:11,679 Speaker 1: project's potential noise, in this case, the noise generated by 456 00:26:11,720 --> 00:26:15,800 Speaker 1: students who may drink, yell and hold unruly parties. Now, 457 00:26:15,840 --> 00:26:19,760 Speaker 1: think about what's occupying people's park at the moment. It's 458 00:26:19,800 --> 00:26:23,640 Speaker 1: a group of homeless people who, yes, indeed maybe making 459 00:26:23,680 --> 00:26:25,840 Speaker 1: a lot of noise. It's actually pretty funny. Yeah, I know, 460 00:26:25,960 --> 00:26:29,400 Speaker 1: but when you're when you're awoke left wing judge, then 461 00:26:29,440 --> 00:26:34,000 Speaker 1: you'll create nonsense arguments exactly right, because the noise coming 462 00:26:34,160 --> 00:26:39,639 Speaker 1: from student parties is greater than the noise of homeless 463 00:26:39,760 --> 00:26:43,600 Speaker 1: vagrant whacked out on meth. Yeah. I mean I've been 464 00:26:43,840 --> 00:26:46,400 Speaker 1: I've been to Berkeley a number of times and there's 465 00:26:46,520 --> 00:26:52,680 Speaker 1: people out on the streets screaming, just screaming, that's all 466 00:26:52,720 --> 00:26:55,920 Speaker 1: they do, Like late at night, you hear them echoing 467 00:26:56,000 --> 00:27:01,480 Speaker 1: in the alleyways in the encampments. Because are so so 468 00:27:02,000 --> 00:27:07,359 Speaker 1: crazy And to the idea that there's special noise that 469 00:27:07,440 --> 00:27:10,679 Speaker 1: come from students that's going to be worse than what 470 00:27:10,760 --> 00:27:14,000 Speaker 1: they already have in people's park, he's that's that's just 471 00:27:14,200 --> 00:27:18,320 Speaker 1: that's just a woke, garbage judge making up The lawsuit 472 00:27:18,520 --> 00:27:23,920 Speaker 1: was supposedly brought by people in the neighborhood, some organization 473 00:27:24,000 --> 00:27:28,000 Speaker 1: called Make You See a Good Neighbor, the preservationists who 474 00:27:28,040 --> 00:27:31,240 Speaker 1: want to keep the parks open space, but really open space. 475 00:27:31,760 --> 00:27:33,879 Speaker 1: And I would be surprised if this was more pushed 476 00:27:33,880 --> 00:27:37,560 Speaker 1: by activists who made up something stupid group right to 477 00:27:37,640 --> 00:27:40,040 Speaker 1: try to keep the homeless in the same Yeah, close 478 00:27:40,119 --> 00:27:43,760 Speaker 1: down the same part. That's what it is. I mean, 479 00:27:43,800 --> 00:27:46,159 Speaker 1: I mean that so many people in the city of 480 00:27:46,240 --> 00:27:50,320 Speaker 1: Berkeley have embraced all all. I mean, it's it's one 481 00:27:50,320 --> 00:27:52,960 Speaker 1: of the nuttiest places I've ever seen in terms of 482 00:27:52,960 --> 00:27:57,800 Speaker 1: the kind of behavior that is permitted by by the vagrants. 483 00:27:57,920 --> 00:28:03,760 Speaker 1: I mean, chest well, they're gonna fight this even don't 484 00:28:03,800 --> 00:28:07,320 Speaker 1: be Newsome chimed in on this yesterday, calling it NIMBYism. 485 00:28:07,720 --> 00:28:10,120 Speaker 1: How dare they the nimbies who live around the park 486 00:28:10,119 --> 00:28:13,480 Speaker 1: in Berkeley don't allow the school to construct students. I mean, 487 00:28:13,480 --> 00:28:16,480 Speaker 1: there's so much student housing already. I don't understand why 488 00:28:16,520 --> 00:28:20,359 Speaker 1: they And I ask yourself this question, if you were 489 00:28:20,359 --> 00:28:22,560 Speaker 1: a sane person, what would you rather have next door? 490 00:28:22,680 --> 00:28:25,879 Speaker 1: A student housing complex or a homeless camp? I mean, really, 491 00:28:26,119 --> 00:28:28,880 Speaker 1: they're not desirable either one of them. But serious, That's 492 00:28:28,880 --> 00:28:32,240 Speaker 1: why I think it's driven by homeless activists. I'm sure 493 00:28:32,280 --> 00:28:34,320 Speaker 1: they were behind who come up with a fake name 494 00:28:34,400 --> 00:28:37,720 Speaker 1: for their stupid little neighbor group, hiring the attorneys and 495 00:28:37,760 --> 00:28:41,280 Speaker 1: gathering right. But they found it at a Pellet court, 496 00:28:41,800 --> 00:28:45,600 Speaker 1: which is gonna just swatted this down for now because 497 00:28:45,880 --> 00:28:49,160 Speaker 1: and that thing is always used at California Environmental Quality 498 00:28:49,200 --> 00:28:53,160 Speaker 1: Acts sequel Holy Mackael. That was even cited by Newsome 499 00:28:53,240 --> 00:28:56,840 Speaker 1: and by Bassettie about how it blocks projects and it 500 00:28:56,880 --> 00:28:59,920 Speaker 1: blocks funding and the left it's like this catch all. 501 00:29:00,080 --> 00:29:02,880 Speaker 1: The left wing crowd is the one who designed this 502 00:29:03,000 --> 00:29:06,440 Speaker 1: act and now they got to live with it. It's 503 00:29:06,480 --> 00:29:10,160 Speaker 1: being used against them, right, all right, We got more 504 00:29:10,160 --> 00:29:12,480 Speaker 1: coming up. Johnny ken Camp I am six forty. We're 505 00:29:12,520 --> 00:29:15,320 Speaker 1: live everywhere on the iHeartRadio app. But we'll check out 506 00:29:15,480 --> 00:29:17,120 Speaker 1: right after the news at two o'clock what's going on 507 00:29:17,200 --> 00:29:19,720 Speaker 1: with people in the mountain communities of San Bernardino County 508 00:29:19,800 --> 00:29:21,480 Speaker 1: getting cut off due to all the heavy snow. With 509 00:29:21,720 --> 00:29:25,120 Speaker 1: more coming. That'll be a report from Blake Trolley right 510 00:29:25,120 --> 00:29:29,160 Speaker 1: after the news. At two o'clock. Yesterday, we went through 511 00:29:29,240 --> 00:29:31,760 Speaker 1: the story that the Department of Energy says there's a 512 00:29:31,800 --> 00:29:38,080 Speaker 1: possibility the COVID nineteen originated from a lab leak. Once again, 513 00:29:38,120 --> 00:29:41,240 Speaker 1: we're back on this topic. But we're gonna go back 514 00:29:41,440 --> 00:29:44,080 Speaker 1: because one of the people who also wondered that that 515 00:29:44,160 --> 00:29:47,520 Speaker 1: could be possible was probably one of the favorites of 516 00:29:47,600 --> 00:29:52,320 Speaker 1: the left, the woke. This would be John Stewart, the comedian, 517 00:29:52,360 --> 00:29:54,440 Speaker 1: and of course he used to have a show on 518 00:29:54,560 --> 00:29:57,520 Speaker 1: Comedy Central that he hosted for many years. I believe 519 00:29:57,520 --> 00:29:59,720 Speaker 1: one of his big causes though, he really pitches for 520 00:29:59,760 --> 00:30:01,360 Speaker 1: the terans. I think that's what he's doing with a 521 00:30:01,400 --> 00:30:03,880 Speaker 1: lot of his time now, getting the veterans more help. 522 00:30:03,960 --> 00:30:07,000 Speaker 1: But he went on Stephen Colbert's show last year, We're 523 00:30:07,000 --> 00:30:09,920 Speaker 1: going to play part of that where he laid out 524 00:30:10,040 --> 00:30:14,440 Speaker 1: the possibility he thought that maybe it was a laboratory leak, 525 00:30:14,600 --> 00:30:17,760 Speaker 1: and boy, for the last year he's really hurt it. 526 00:30:17,880 --> 00:30:21,280 Speaker 1: Let's start with that audio. I and I honestly mean this. 527 00:30:21,800 --> 00:30:27,080 Speaker 1: I think we owe a great debt of gratitude to science. 528 00:30:27,320 --> 00:30:32,840 Speaker 1: Science has in many ways helped ease, uh, the suffering 529 00:30:33,240 --> 00:30:39,560 Speaker 1: of this pandemic, which was more than likely caused by science. 530 00:30:44,920 --> 00:30:50,880 Speaker 1: So and that's kind of what I was that. No no, no, no, no, no, 531 00:30:51,000 --> 00:30:55,760 Speaker 1: no no no not listen, listen, it's coffee. I would 532 00:30:55,800 --> 00:30:58,080 Speaker 1: do that, would do that too. What do you take? 533 00:30:58,280 --> 00:30:59,560 Speaker 1: What do you what? What what do you mean by 534 00:30:59,640 --> 00:31:02,160 Speaker 1: do you mean like there's a chance that this is 535 00:31:02,200 --> 00:31:07,480 Speaker 1: creating a lab there's an investigation a chance. Well, I'd 536 00:31:07,520 --> 00:31:13,640 Speaker 1: love to hear that there's a novel respiratory coronavirus overtaking Wohan, China. 537 00:31:14,080 --> 00:31:16,040 Speaker 1: What do we do? Oh? You know who? We could 538 00:31:16,040 --> 00:31:22,560 Speaker 1: ask the Wuhan Novel Respiratory coronavirus lab. The disease is 539 00:31:22,600 --> 00:31:27,000 Speaker 1: the same name as the lab. That's just that's just 540 00:31:27,120 --> 00:31:29,200 Speaker 1: a little too weird, don't anythink. And then they asked 541 00:31:29,240 --> 00:31:31,880 Speaker 1: those scientists, They're like, how did this? So wait a minute, 542 00:31:32,040 --> 00:31:35,840 Speaker 1: you work at the Wuhan Respiratory coronavirus lab. How did 543 00:31:35,920 --> 00:31:38,720 Speaker 1: this happen? And they're like a pangol and kiss the 544 00:31:38,800 --> 00:31:44,320 Speaker 1: turtle and you're like, no, you the name of your lab. 545 00:31:44,600 --> 00:31:47,520 Speaker 1: If you look at the name, look at the name. 546 00:31:47,760 --> 00:31:50,360 Speaker 1: Can I let me see your business card? Show me 547 00:31:50,440 --> 00:31:55,680 Speaker 1: your business card? Oh, I work at the coronavirus lab 548 00:31:56,480 --> 00:32:00,640 Speaker 1: in Wuhan. Oh, because there's a coronavirus loosen And how 549 00:32:00,720 --> 00:32:06,320 Speaker 1: did that happen? Maybe a bat flew into the cloaca 550 00:32:06,640 --> 00:32:11,480 Speaker 1: of a turkey and then it sneezed into my chili 551 00:32:11,960 --> 00:32:15,680 Speaker 1: and now we all have coronavirus like couple, okay, okay, wait, okay, anything, 552 00:32:15,720 --> 00:32:19,080 Speaker 1: wait what about this? What about this? Wait a second? 553 00:32:19,800 --> 00:32:23,600 Speaker 1: All right, joh, oh my god, oh my god. There's 554 00:32:23,680 --> 00:32:28,520 Speaker 1: been an outbreak of chocolate e goodness near Hershey, Pennsylvania. 555 00:32:28,760 --> 00:32:31,000 Speaker 1: What do you think happened? Like, Oh, I don't know, 556 00:32:31,560 --> 00:32:34,880 Speaker 1: maybe a steam shovel made it with a cocoa bean, 557 00:32:35,400 --> 00:32:41,520 Speaker 1: or it's the chocolate factory. Maybe that's it. That could be. 558 00:32:43,720 --> 00:32:47,560 Speaker 1: That could be the way he pitched it. There was 559 00:32:47,680 --> 00:32:50,080 Speaker 1: lost on some of the audience, I guess right, because 560 00:32:50,200 --> 00:32:52,920 Speaker 1: when he first brought up the lab thing, they all 561 00:32:53,040 --> 00:32:56,120 Speaker 1: laughed like, oh, it's another crazy Trump guy, right, But 562 00:32:56,240 --> 00:32:58,280 Speaker 1: it seemed like well, and then Colbert kind of brought 563 00:32:58,320 --> 00:32:59,960 Speaker 1: it back to what are you really trying to say here? 564 00:33:00,360 --> 00:33:07,360 Speaker 1: Because in comedic terms, people are confused that so many 565 00:33:07,400 --> 00:33:10,880 Speaker 1: people just think in binary terms. You know, it's either 566 00:33:11,040 --> 00:33:13,600 Speaker 1: right wing or left wing, it's either conservative or liberal 567 00:33:13,720 --> 00:33:17,120 Speaker 1: Trump or not Trump. They don't they don't use their 568 00:33:17,160 --> 00:33:20,480 Speaker 1: brains to analyze things logically and pay attention to the 569 00:33:20,600 --> 00:33:24,520 Speaker 1: details and the nuances. And we're gonna play a second 570 00:33:24,560 --> 00:33:26,680 Speaker 1: clip from him. By the way, I have this question 571 00:33:26,840 --> 00:33:28,840 Speaker 1: because I saw another one of the dope yel sagunto 572 00:33:28,920 --> 00:33:32,040 Speaker 1: Times calumnists, there is no solid proof that it started. 573 00:33:32,320 --> 00:33:34,800 Speaker 1: Is there solid proof that started naturally? No, there's no 574 00:33:35,040 --> 00:33:37,480 Speaker 1: from that. There's no proof of that either. What makes 575 00:33:37,520 --> 00:33:40,400 Speaker 1: you right? They I liked the way people can't accept 576 00:33:40,840 --> 00:33:44,520 Speaker 1: that there's just a certain unknown here so far. Still, yes, 577 00:33:45,040 --> 00:33:48,680 Speaker 1: or if we ever break into the Chinese government document, 578 00:33:48,760 --> 00:33:51,960 Speaker 1: you know something, there is conclusive answer. There is such 579 00:33:52,000 --> 00:33:55,240 Speaker 1: a thing as circumstantial evidence, which is what story was 580 00:33:55,280 --> 00:34:00,080 Speaker 1: pointing out. Circumstantial evidence is very compelling here because you 581 00:34:00,240 --> 00:34:05,520 Speaker 1: do have the institute that was investigating this coronavirus in 582 00:34:05,640 --> 00:34:08,040 Speaker 1: the state as the virus. I don't think it was 583 00:34:08,120 --> 00:34:10,400 Speaker 1: named COVID nineteen of the lab, was it. I mean 584 00:34:10,520 --> 00:34:13,080 Speaker 1: that name didn't come about until no. No, no, I 585 00:34:13,120 --> 00:34:15,880 Speaker 1: mean he was doing it for comedic effect to some extent. 586 00:34:16,040 --> 00:34:18,759 Speaker 1: But his main points that's what they do there, right, 587 00:34:18,960 --> 00:34:20,839 Speaker 1: That's what they do there. And then if you pay 588 00:34:20,840 --> 00:34:24,799 Speaker 1: attention to the other details, three of the researchers got sick, 589 00:34:25,239 --> 00:34:29,800 Speaker 1: very sick in November of twenty nineteen, and the Chinese 590 00:34:29,920 --> 00:34:35,000 Speaker 1: Communist Party shut down all outside investigations. To this day, 591 00:34:35,400 --> 00:34:39,719 Speaker 1: they refuse to allow anybody in the outside to find 592 00:34:39,760 --> 00:34:43,279 Speaker 1: the truth in this matter, and they put the arm 593 00:34:43,360 --> 00:34:47,759 Speaker 1: lock on the World Health Organization to thwart them from 594 00:34:47,800 --> 00:34:50,840 Speaker 1: investigating it. Now, they were big funders, Yeah, they basically 595 00:34:50,920 --> 00:34:54,800 Speaker 1: own the WHO and for some reason, nobody wants to 596 00:34:54,840 --> 00:34:56,120 Speaker 1: save that out a lot. But that's the guy that 597 00:34:56,239 --> 00:34:58,920 Speaker 1: was leading the WHO at the time. His country got 598 00:34:58,920 --> 00:35:00,840 Speaker 1: a lot of big money from I know. Anyway, we 599 00:35:01,000 --> 00:35:02,920 Speaker 1: know that. Let's why the second clip here and now 600 00:35:02,960 --> 00:35:05,600 Speaker 1: the second clip is brand new. There's an Apple TV 601 00:35:05,760 --> 00:35:08,560 Speaker 1: Plus show called The Problem with John Stewart. This is 602 00:35:08,600 --> 00:35:11,560 Speaker 1: from yesterday's show where of course he's reacting to the 603 00:35:11,640 --> 00:35:14,759 Speaker 1: news that another government agency, this is the Department of Energy, 604 00:35:14,840 --> 00:35:17,880 Speaker 1: joins the FBI and thinking it's possible, very possible, that 605 00:35:18,000 --> 00:35:20,640 Speaker 1: this was a lab leak. And now he's adding that 606 00:35:21,080 --> 00:35:22,920 Speaker 1: to his response to what happened to him after his 607 00:35:23,000 --> 00:35:28,759 Speaker 1: appearance son Stephen Colbert. The backlash was swift, immediate, and 608 00:35:29,760 --> 00:35:34,520 Speaker 1: quite loud. And again I didn't take that personally either, 609 00:35:34,719 --> 00:35:38,000 Speaker 1: Like we live in a world where like I have 610 00:35:38,120 --> 00:35:41,320 Speaker 1: my opinion. I'm not mad at the backlash either, because 611 00:35:41,680 --> 00:35:44,840 Speaker 1: they're doing what I was doing, which is expressing myself. 612 00:35:45,280 --> 00:35:48,520 Speaker 1: The part that I don't like about it is the 613 00:35:50,200 --> 00:35:55,120 Speaker 1: absolutes and the dismissive like you, I'm done with you. 614 00:35:55,560 --> 00:35:59,640 Speaker 1: I will never forgive you. You have crossed a un 615 00:36:00,120 --> 00:36:04,279 Speaker 1: forgivable line. You've expressed an opinion that is antithetical to 616 00:36:04,400 --> 00:36:07,719 Speaker 1: mine or not mine, and it may not be one 617 00:36:07,800 --> 00:36:10,640 Speaker 1: that has any real ramifications of anything. I was just saying, 618 00:36:11,760 --> 00:36:15,319 Speaker 1: this seems like it's a pretty good possibility, which by 619 00:36:15,360 --> 00:36:18,440 Speaker 1: the way, has happened before. But what was stunning to me, 620 00:36:19,120 --> 00:36:23,680 Speaker 1: I think was the anger, Like that's the part of 621 00:36:23,880 --> 00:36:30,520 Speaker 1: all of this, and it's purposeful. Where is the anger 622 00:36:30,640 --> 00:36:32,960 Speaker 1: coming from in these people? Why would they be so 623 00:36:33,280 --> 00:36:38,239 Speaker 1: emotionally tied to where a virus originated. Why is it 624 00:36:38,320 --> 00:36:41,880 Speaker 1: so important that it comes from an animal rather than 625 00:36:41,960 --> 00:36:45,239 Speaker 1: a lab accident. How could you get emotional about that? 626 00:36:45,400 --> 00:36:48,239 Speaker 1: And why would that be ideological? I don't even get that. 627 00:36:48,440 --> 00:36:51,000 Speaker 1: But one thing I've learned from this and the last 628 00:36:51,040 --> 00:36:54,560 Speaker 1: several years, boy the woke left. They do get angry 629 00:36:54,600 --> 00:36:56,480 Speaker 1: and they do cancel you. They just shut you down. 630 00:36:56,719 --> 00:36:59,320 Speaker 1: Where is the right when you say something they consider ridiculous, 631 00:36:59,320 --> 00:37:01,279 Speaker 1: They doesn't make fun of you. Yeah, it's kind of 632 00:37:01,320 --> 00:37:02,920 Speaker 1: a real difference in them. I don't believe in the 633 00:37:03,000 --> 00:37:05,560 Speaker 1: cancel culture so much, or maybe they won't watch a 634 00:37:05,600 --> 00:37:08,080 Speaker 1: show or a person anymore that but they don't make it. 635 00:37:08,360 --> 00:37:10,400 Speaker 1: But the other side's very adamant. No, no, yeah, we 636 00:37:10,680 --> 00:37:14,279 Speaker 1: know where rights. It's one thing we're shutting you down completely. Right. 637 00:37:14,320 --> 00:37:16,120 Speaker 1: It's one thing if somebody annoys you, you just don't 638 00:37:16,160 --> 00:37:18,440 Speaker 1: watch their show. But it's another thing is like you 639 00:37:18,520 --> 00:37:22,280 Speaker 1: want them to die. You want because all of culture 640 00:37:22,320 --> 00:37:24,319 Speaker 1: in the world to ignore, you know. And a lot 641 00:37:24,360 --> 00:37:26,600 Speaker 1: of the blow back was like this is racist, this 642 00:37:26,760 --> 00:37:31,120 Speaker 1: is racist, but there's there's actolutely nothing racist about it. 643 00:37:31,280 --> 00:37:35,040 Speaker 1: It's like, what's wrong with you? It's a virus. It 644 00:37:35,200 --> 00:37:38,719 Speaker 1: came out of Wuhan. They have that China, which is 645 00:37:38,840 --> 00:37:41,799 Speaker 1: known to be an enemy in many regards, So why 646 00:37:41,960 --> 00:37:44,640 Speaker 1: is it so hard to believe? Right, it's the Chinese 647 00:37:44,760 --> 00:37:49,760 Speaker 1: Communist Party? What is wrong? How how do you develop 648 00:37:49,920 --> 00:37:52,080 Speaker 1: that kind of anger? There's a lot of that anger 649 00:37:52,120 --> 00:37:54,719 Speaker 1: on a whole range of these issues, and it is 650 00:37:54,960 --> 00:37:57,719 Speaker 1: with mostly the progressives and said, well, how did you 651 00:37:57,840 --> 00:38:01,000 Speaker 1: develop that anger? Why why are you in vested so deeply? 652 00:38:01,280 --> 00:38:03,440 Speaker 1: And where the virus came from? In fact, what is 653 00:38:03,440 --> 00:38:06,520 Speaker 1: it to you where the virus came from? Why do 654 00:38:06,600 --> 00:38:10,880 Speaker 1: you care? Why? How does it get you mad? And 655 00:38:11,040 --> 00:38:13,120 Speaker 1: this guy, you know, really got caught in the crosshairs 656 00:38:13,120 --> 00:38:15,319 Speaker 1: because he had a lot of fans that were, oh, 657 00:38:15,480 --> 00:38:18,960 Speaker 1: believers in h being a racist theory, So they were 658 00:38:19,000 --> 00:38:22,120 Speaker 1: like stunned and angry with this. Woke crowd gets more 659 00:38:22,239 --> 00:38:27,439 Speaker 1: angry at people on their side who they think betrayed them. Yeah, 660 00:38:27,520 --> 00:38:31,680 Speaker 1: then they get at a right wing political because it 661 00:38:31,760 --> 00:38:34,480 Speaker 1: probably makes some question what they believe in, doesn't it. Yeah, 662 00:38:35,000 --> 00:38:36,759 Speaker 1: all right, we're coming up, John and Ken kf I 663 00:38:36,840 --> 00:38:39,759 Speaker 1: AM six forty Live Everywhere, the iHeartRadio app Deborah Mark 664 00:38:39,800 --> 00:38:41,440 Speaker 1: lit in the twenty four Hour Cafin Newsroom