1 00:00:00,120 --> 00:00:02,760 Speaker 1: Try us out. You might like us now maybe we're 2 00:00:02,800 --> 00:00:09,120 Speaker 1: new to you. Coming up in about fifteen minutes. Another word, keyword, 3 00:00:09,720 --> 00:00:13,160 Speaker 1: where if you follow John's very specific directions, you could 4 00:00:13,160 --> 00:00:16,080 Speaker 1: win some money. We call it the inflation bonus. It's 5 00:00:16,120 --> 00:00:18,360 Speaker 1: coming up at a round three twenty again at four 6 00:00:18,480 --> 00:00:22,000 Speaker 1: twenty five twenty, so several chances left to win the show. 7 00:00:22,520 --> 00:00:25,119 Speaker 1: All right, let's get right to this because it is 8 00:00:25,160 --> 00:00:27,320 Speaker 1: a five minute play, but we think it's going to 9 00:00:27,360 --> 00:00:29,000 Speaker 1: be worth the time to listen to if you didn't 10 00:00:29,000 --> 00:00:33,000 Speaker 1: get to see it on television. CBS two investigative reporter 11 00:00:33,080 --> 00:00:36,080 Speaker 1: David Goldstein takes a look at the story that came 12 00:00:36,080 --> 00:00:39,120 Speaker 1: out a couple of weeks ago that the recent release 13 00:00:39,240 --> 00:00:42,519 Speaker 1: of the homeless numbers in Los Angeles County by the 14 00:00:42,640 --> 00:00:47,199 Speaker 1: Los Angeles Homeless Services Authority or agency. I guess it's agency. 15 00:00:48,560 --> 00:00:52,599 Speaker 1: Maybe undercounted. Well, see the reports coming from people who 16 00:00:52,640 --> 00:00:55,560 Speaker 1: actually are out there doing the census that they weren't 17 00:00:55,600 --> 00:00:59,240 Speaker 1: confident in the numbers being reported. I take issue undercount 18 00:00:59,400 --> 00:01:03,080 Speaker 1: is two mild term. It's a you know, a media term. 19 00:01:03,120 --> 00:01:05,680 Speaker 1: They put out false numbers, is what they did. You'll 20 00:01:05,720 --> 00:01:07,560 Speaker 1: have no proof of that, Yes they do. You can't 21 00:01:07,600 --> 00:01:09,600 Speaker 1: call someone a liar, Yes they can. They put out 22 00:01:09,600 --> 00:01:13,560 Speaker 1: a zero. Could how could you put out a zero 23 00:01:13,680 --> 00:01:16,119 Speaker 1: for Venice that night? Nobody was there in that little 24 00:01:16,160 --> 00:01:21,640 Speaker 1: section of Venice. It's possible. No, they drove by, looked around. 25 00:01:21,840 --> 00:01:25,680 Speaker 1: They lied because they were under so much criticism, they 26 00:01:25,680 --> 00:01:29,000 Speaker 1: tried to deflate the number to make it look like 27 00:01:29,040 --> 00:01:32,920 Speaker 1: they're doing good. All the people who run LASSA saw 28 00:01:32,959 --> 00:01:36,160 Speaker 1: these numbers. It was it was audited and vetted. They 29 00:01:36,240 --> 00:01:39,200 Speaker 1: knew what they were sending out there. This is on purpose. 30 00:01:40,720 --> 00:01:43,600 Speaker 1: All right, Let's begin to play the report from David 31 00:01:43,640 --> 00:01:48,880 Speaker 1: Goldstein and then we'll talk about it. LASSA came back 32 00:01:48,920 --> 00:01:54,160 Speaker 1: in this area here with zero people homeless living on 33 00:01:54,200 --> 00:01:58,760 Speaker 1: the street. Wow, that's like Bill Young and his friends 34 00:01:58,800 --> 00:02:02,960 Speaker 1: could only laugh in My Baby. They're homeless living with 35 00:02:03,080 --> 00:02:06,200 Speaker 1: their dogs, they say, for six years. And these vans 36 00:02:06,240 --> 00:02:09,400 Speaker 1: in the parking lot of the Westminster Dog Park in Venice. 37 00:02:09,680 --> 00:02:15,160 Speaker 1: And they're not alone, one two, three, four, five and 38 00:02:15,200 --> 00:02:18,040 Speaker 1: the parking lot alone, plus these guys to sleep right here. 39 00:02:18,200 --> 00:02:21,400 Speaker 1: That's their unofficial count of the homeless in the park. 40 00:02:21,800 --> 00:02:24,959 Speaker 1: But the official twenty twenty two count by the LA 41 00:02:25,080 --> 00:02:30,120 Speaker 1: Homeless Services Authority or LASSA showed the total unsheltered population 42 00:02:30,160 --> 00:02:35,239 Speaker 1: in this area zero. I excuse my linguags, here's three. 43 00:02:36,000 --> 00:02:39,880 Speaker 1: Good morning. But at their press conference announcing the homeless count, 44 00:02:40,160 --> 00:02:43,520 Speaker 1: LASSA officials were upbeat. There are lots of good things 45 00:02:43,560 --> 00:02:47,000 Speaker 1: in the numbers today. They claim the number of homeless 46 00:02:47,120 --> 00:02:50,200 Speaker 1: went up just four point one percent in La County 47 00:02:50,400 --> 00:02:53,360 Speaker 1: from twenty twenty to twenty twenty two, and up just 48 00:02:53,480 --> 00:02:56,640 Speaker 1: one point seven percent in the city of La during 49 00:02:56,680 --> 00:02:59,880 Speaker 1: the same period. The numbers are suggesting that there's a 50 00:03:00,040 --> 00:03:03,600 Speaker 1: flattening of the curve. But are the numbers accurate? Did 51 00:03:03,919 --> 00:03:07,560 Speaker 1: LASA get it right in this precinct? LASSA did not 52 00:03:07,680 --> 00:03:12,480 Speaker 1: get the count right. Nowhere close, nowhere near. Jessica Rogers 53 00:03:12,800 --> 00:03:16,040 Speaker 1: was one of thousands who volunteered to count the homeless 54 00:03:16,040 --> 00:03:19,359 Speaker 1: back in February. I'm scared for my life. She went 55 00:03:19,480 --> 00:03:22,800 Speaker 1: block by block in the same area where Bill Young 56 00:03:22,840 --> 00:03:26,559 Speaker 1: and his friends live in Venice, where LASSA showed zero. 57 00:03:26,720 --> 00:03:30,560 Speaker 1: She counted two hundred and ninety seven and input it 58 00:03:30,840 --> 00:03:34,320 Speaker 1: here on the app provided by LASSA, But she says 59 00:03:34,360 --> 00:03:39,320 Speaker 1: that app continuously crashed. She ended up texting in the information, 60 00:03:39,680 --> 00:03:43,240 Speaker 1: but her two hundred and ninety seven was reported as zero. 61 00:03:43,560 --> 00:03:47,320 Speaker 1: I remember very well what I saw and where I 62 00:03:47,400 --> 00:03:50,400 Speaker 1: saw it and what it was like. And to find 63 00:03:50,440 --> 00:03:55,040 Speaker 1: out that LASSA recorded zero people on the streets that 64 00:03:55,320 --> 00:03:59,840 Speaker 1: night is heartbreaking and gut wrenching. Are you questioning some 65 00:04:00,000 --> 00:04:02,840 Speaker 1: of these numbers? Yes, we're questioning some of these numbers. 66 00:04:02,960 --> 00:04:07,320 Speaker 1: And she's not alone. Dan Flaming is with the Economic Roundtable, 67 00:04:07,600 --> 00:04:12,520 Speaker 1: a nonprofit research group, had ninety four people who were 68 00:04:12,600 --> 00:04:16,360 Speaker 1: unsheltered in twenty twenty, and then in this year's count 69 00:04:16,360 --> 00:04:19,240 Speaker 1: it head zero. He's going through the numbers and found 70 00:04:19,320 --> 00:04:22,960 Speaker 1: some hard to explain. He found roughly half of the 71 00:04:23,040 --> 00:04:27,480 Speaker 1: areas counted had fewer unsheltered homeless in twenty twenty two 72 00:04:27,839 --> 00:04:31,120 Speaker 1: compared to the last count in twenty twenty, and three 73 00:04:31,240 --> 00:04:35,640 Speaker 1: hundred and thirty five areas that had reported unsheltered homeless 74 00:04:35,640 --> 00:04:39,760 Speaker 1: in twenty twenty now reporting zero. Do you believe those numbers? 75 00:04:39,920 --> 00:04:42,560 Speaker 1: It's hard to reconcile with what I see as I 76 00:04:42,640 --> 00:04:46,080 Speaker 1: try around the city. LASA is the same agency where 77 00:04:46,120 --> 00:04:49,320 Speaker 1: we caught employees throwing cases of food in the dumpster 78 00:04:49,600 --> 00:04:52,160 Speaker 1: that we're supposed to go to the homeless. The agency 79 00:04:52,240 --> 00:04:55,160 Speaker 1: has an eight hundred million dollar budget and has been 80 00:04:55,240 --> 00:04:58,520 Speaker 1: under attack by both the city and county for not 81 00:04:58,600 --> 00:05:02,320 Speaker 1: doing enough to come back the homeless problem. What they say, 82 00:05:02,560 --> 00:05:05,520 Speaker 1: you know, numbers don't lie, but people like Jay Handel, 83 00:05:05,640 --> 00:05:09,640 Speaker 1: chairs the Homeless Committee for the La Neighborhood Councils, you 84 00:05:09,680 --> 00:05:13,080 Speaker 1: think they actually manipulated the numbers. I wouldn't count it out. 85 00:05:13,440 --> 00:05:16,200 Speaker 1: I would definitely not count it out because, again, knowing 86 00:05:16,240 --> 00:05:22,200 Speaker 1: how unhappy the county and the city are with LOSSA, 87 00:05:22,320 --> 00:05:27,680 Speaker 1: it would not shock me. Is LASSA purposely manipulating the 88 00:05:27,760 --> 00:05:31,320 Speaker 1: numbers to make it look better on the streets. Absolutely 89 00:05:31,360 --> 00:05:35,599 Speaker 1: not Losses. Molly Riseman says the count is just an estimate. 90 00:05:35,960 --> 00:05:39,039 Speaker 1: She admits the app was a problem, but it didn't work. 91 00:05:39,120 --> 00:05:41,440 Speaker 1: I wouldn't say it didn't work. There were some challenges, 92 00:05:41,680 --> 00:05:46,080 Speaker 1: but she maintains it was an accurate count. These people 93 00:05:46,240 --> 00:05:49,560 Speaker 1: counted what would amount to two hundred and ninety seven 94 00:05:49,640 --> 00:05:55,440 Speaker 1: unhoused individuals, and your count came back as zero unhoused. 95 00:05:56,000 --> 00:05:58,360 Speaker 1: How do you explain that? Because our goal is to 96 00:05:58,360 --> 00:06:02,160 Speaker 1: get a regional estimate, and assigning the data per Census 97 00:06:02,200 --> 00:06:04,839 Speaker 1: track was complicated this year because of some of the 98 00:06:04,880 --> 00:06:09,520 Speaker 1: technological issues. We believe we got the best regional estimate 99 00:06:09,640 --> 00:06:13,240 Speaker 1: we could, But to those living on the streets, they 100 00:06:13,279 --> 00:06:16,880 Speaker 1: say their count is the one that counts. It's never 101 00:06:16,960 --> 00:06:19,440 Speaker 1: been zero. Actually, right now, it's probably the highest I've 102 00:06:19,440 --> 00:06:22,400 Speaker 1: ever seen. Then, and while LASSA maintains the numbers are 103 00:06:22,400 --> 00:06:25,279 Speaker 1: as accurate as they can be, they did say they 104 00:06:25,320 --> 00:06:28,640 Speaker 1: have dumped the company that created that app that was 105 00:06:28,760 --> 00:06:32,200 Speaker 1: used in the last count. They're replacing it with another one, 106 00:06:32,480 --> 00:06:35,280 Speaker 1: and one hopefully works a little bit better than that one. 107 00:06:36,040 --> 00:06:38,479 Speaker 1: When is the next count? The next count will be 108 00:06:38,920 --> 00:06:42,640 Speaker 1: early next year, all right. That's CBS two. Is David Goldstein, 109 00:06:42,720 --> 00:06:45,880 Speaker 1: investigative reporter and going right to the source. Some of 110 00:06:45,880 --> 00:06:49,799 Speaker 1: the census takers doubting the homeless numbers. I have never 111 00:06:49,839 --> 00:06:53,400 Speaker 1: heard of anyone more full of crap than Molly Reissman, 112 00:06:53,640 --> 00:06:57,840 Speaker 1: the Chief program's officer. I mean, Joseph Goebbels would be shamed, 113 00:06:58,279 --> 00:07:01,400 Speaker 1: ashamed to do what she was doing there. I'm honest 114 00:07:01,400 --> 00:07:04,240 Speaker 1: to god, there's two hundred and ninety seven homeless and 115 00:07:04,360 --> 00:07:10,080 Speaker 1: she doesn't think zero is an inaccurate count. Well, let's 116 00:07:10,080 --> 00:07:12,400 Speaker 1: remind everybody the big statistic in there, and I wrote 117 00:07:12,400 --> 00:07:15,480 Speaker 1: it down. They were three hundred and thirty five places 118 00:07:15,600 --> 00:07:19,040 Speaker 1: back in twenty twenty that had homeless people this count 119 00:07:19,080 --> 00:07:21,320 Speaker 1: in twenty twenty two, those three hundred and thirty five 120 00:07:21,360 --> 00:07:24,400 Speaker 1: reported zero. Right, so how why didn't they look at 121 00:07:24,440 --> 00:07:26,320 Speaker 1: that and do it all over again? And you can't 122 00:07:26,360 --> 00:07:29,160 Speaker 1: blame the app, don't you have did anybody audit this 123 00:07:29,200 --> 00:07:31,280 Speaker 1: and say this doesn't make sense? Don't you have a 124 00:07:31,320 --> 00:07:34,960 Speaker 1: pen and paper technological difference? Well, that's probably how they 125 00:07:34,960 --> 00:07:38,200 Speaker 1: did it years ago before a Well, what's the point 126 00:07:38,320 --> 00:07:40,680 Speaker 1: of an app that doesn't work? It's it's a it's 127 00:07:40,720 --> 00:07:43,840 Speaker 1: a busted app. Who is that company? Did they have 128 00:07:43,960 --> 00:07:47,280 Speaker 1: political connections? Was it somebody's brother in law, some deadbeat 129 00:07:47,320 --> 00:07:49,640 Speaker 1: brother in law who made up a fake app? That 130 00:07:49,840 --> 00:07:51,880 Speaker 1: think they sent him out there knowing the app wouldn't 131 00:07:51,920 --> 00:07:53,960 Speaker 1: work and they'd have to just come up with zeros. 132 00:07:54,720 --> 00:07:56,840 Speaker 1: You know, I think they're a bunch of liars. I 133 00:07:56,920 --> 00:07:59,480 Speaker 1: think buried in that story was the truth. They get 134 00:07:59,520 --> 00:08:02,280 Speaker 1: so much criticism from the city in the county because 135 00:08:02,320 --> 00:08:05,520 Speaker 1: there's such a disaster agency that they decided to pull 136 00:08:05,560 --> 00:08:08,520 Speaker 1: a fast one. But they did it so well. There'll 137 00:08:08,560 --> 00:08:11,040 Speaker 1: be an increase, but not a very big increase. Right. 138 00:08:11,040 --> 00:08:13,360 Speaker 1: We can't we can't say it's that a homeless problem 139 00:08:13,520 --> 00:08:16,520 Speaker 1: is gone. The numbers are way down. Everybody knows there's 140 00:08:16,560 --> 00:08:18,800 Speaker 1: an increase, but they tried to fudge it and say, oh, 141 00:08:18,960 --> 00:08:21,160 Speaker 1: that's just four percent. And the only way they got 142 00:08:21,160 --> 00:08:24,080 Speaker 1: to four percent is by zeroing out three hundred and 143 00:08:24,120 --> 00:08:27,280 Speaker 1: thirty five districts. Three hundred and thirty five. Think about that. 144 00:08:27,600 --> 00:08:29,000 Speaker 1: You tell me they didn't know what they were doing. 145 00:08:29,720 --> 00:08:35,960 Speaker 1: This was This was absolutely scripted, conscious, intentional, intentionally lying. 146 00:08:36,160 --> 00:08:42,360 Speaker 1: This agency should be defunded and destroyed. This is corruption. 147 00:08:42,559 --> 00:08:45,840 Speaker 1: This is no different than the corruption of Ridley Thomas 148 00:08:45,880 --> 00:08:49,080 Speaker 1: and Jose Weezar and Mitch England are This is no 149 00:08:49,280 --> 00:08:53,320 Speaker 1: different than all the misbehavior of Nouri Martinez and Karen 150 00:08:53,440 --> 00:08:56,640 Speaker 1: Bass with her fake scholarship that she got. This is 151 00:08:56,800 --> 00:09:00,640 Speaker 1: all the same stuff. They're all blowing our money, They're 152 00:09:00,640 --> 00:09:03,959 Speaker 1: all corrupt, they're all lying. This is what they do 153 00:09:04,040 --> 00:09:10,680 Speaker 1: all day. Oh there's breaking news. Kevin Dileone did an interview, 154 00:09:11,600 --> 00:09:16,400 Speaker 1: got any guests with who Univision I was gonna say, 155 00:09:16,400 --> 00:09:18,760 Speaker 1: I was no. I will not resign because I have 156 00:09:18,800 --> 00:09:21,040 Speaker 1: a lot of work ahead. I feel very bad. I 157 00:09:21,080 --> 00:09:23,480 Speaker 1: feel very sorry for the damage, for the wounds that 158 00:09:23,520 --> 00:09:27,240 Speaker 1: exist today in our communities. But he has reiterated the 159 00:09:27,360 --> 00:09:31,080 Speaker 1: fact that he will not quit. Hey stared down the mob. Huh, 160 00:09:31,280 --> 00:09:35,800 Speaker 1: I'm sorry, I'm sorry. I want to apologize for the 161 00:09:35,880 --> 00:09:38,240 Speaker 1: painful words that were carried out that day last year, 162 00:09:38,280 --> 00:09:42,280 Speaker 1: but I will not resign. Wow, we'll have more on 163 00:09:42,400 --> 00:09:47,480 Speaker 1: that well. Also when we's gonna air tonight, especially finished 164 00:09:47,480 --> 00:09:50,680 Speaker 1: out his term because all the Wieners who always run 165 00:09:50,720 --> 00:09:52,960 Speaker 1: and hide every time an activist group. And by the way, 166 00:09:53,000 --> 00:09:56,240 Speaker 1: I can't stand him. Okay, he's a dirt bag of 167 00:09:56,280 --> 00:09:58,760 Speaker 1: the worst. I was supposed to call him Kevin Leone. Yeah, 168 00:09:58,800 --> 00:10:01,760 Speaker 1: you know, he's an absolute dirt bag. His policies and 169 00:10:01,840 --> 00:10:06,600 Speaker 1: ideas are destructive. He's an awful person. But you can't 170 00:10:06,679 --> 00:10:10,640 Speaker 1: let these mobs, these social media mobs, run the world. 171 00:10:10,760 --> 00:10:13,480 Speaker 1: You can't. You have to just say no. And I'm 172 00:10:13,480 --> 00:10:17,360 Speaker 1: glad he just said no. Let the constituents in his district, 173 00:10:17,480 --> 00:10:20,680 Speaker 1: let them vote to recall. All right. Also, we'll talk 174 00:10:20,720 --> 00:10:24,000 Speaker 1: about how the La County Board of Supervisors is trying 175 00:10:24,040 --> 00:10:27,960 Speaker 1: to do something to alleviate the problem with the metro 176 00:10:28,120 --> 00:10:30,959 Speaker 1: train that finds its way into Long Beach. The end 177 00:10:30,960 --> 00:10:32,880 Speaker 1: of the line, it's the blue line, or I think 178 00:10:32,920 --> 00:10:35,440 Speaker 1: it's now called the A line and the vagrants get 179 00:10:35,480 --> 00:10:38,920 Speaker 1: off and stay there. They've seen a big increase in 180 00:10:38,960 --> 00:10:41,800 Speaker 1: the homeless population around this area and Long Beach. And 181 00:10:41,840 --> 00:10:44,000 Speaker 1: we'll tell you what the Board of Supervisors dopes are 182 00:10:44,000 --> 00:10:47,440 Speaker 1: talking about. Your chance for money too. The keyword, the 183 00:10:47,480 --> 00:10:50,760 Speaker 1: inflation bonus keyword is next. John and Ken caf I 184 00:10:50,920 --> 00:10:54,640 Speaker 1: am six forty live everywhere on the iHeartRadio app all right, 185 00:10:54,720 --> 00:10:57,760 Speaker 1: repeating a big story that just came across Los Angeles 186 00:10:57,800 --> 00:11:02,080 Speaker 1: City Council Meverick Kevin Leone said in a television interview 187 00:11:02,120 --> 00:11:07,040 Speaker 1: airing tonight that he will not resign. A partial transcript 188 00:11:07,080 --> 00:11:11,439 Speaker 1: of the interview was released by Univision No Notice, Seatto, 189 00:11:11,640 --> 00:11:17,280 Speaker 1: Univision Notice Seattle. I am so sorry. I am excessively sorry, 190 00:11:17,800 --> 00:11:20,240 Speaker 1: and that is why I apologize to all my people, 191 00:11:20,880 --> 00:11:23,240 Speaker 1: to my entire community for the damage caused by the 192 00:11:23,280 --> 00:11:26,720 Speaker 1: painful words that were carried out that day last year. No, 193 00:11:27,120 --> 00:11:29,960 Speaker 1: I will not resign because there's a lot of work ahead. 194 00:11:31,280 --> 00:11:33,560 Speaker 1: He's sorry for the damage. Oh no, he wants the 195 00:11:33,559 --> 00:11:37,600 Speaker 1: wounds that exist today in our community. Who are these wounds? Well, 196 00:11:37,640 --> 00:11:40,120 Speaker 1: those are the ones at the heal, right, But I mean, 197 00:11:40,360 --> 00:11:43,040 Speaker 1: what on what body part did the wounds low, did 198 00:11:43,040 --> 00:11:45,920 Speaker 1: he stab people? Or if you would think right from 199 00:11:46,080 --> 00:11:49,960 Speaker 1: the description, we have wounds, we have healing. I'm curious 200 00:11:49,960 --> 00:11:52,320 Speaker 1: when we see the full thing though, if he does say, 201 00:11:52,360 --> 00:11:54,439 Speaker 1: you know, I didn't say much, A lot of it 202 00:11:54,480 --> 00:11:57,880 Speaker 1: was Neri Martinez. And that's if he says that it's 203 00:11:57,920 --> 00:12:01,080 Speaker 1: true most of it was her. He may not want 204 00:12:01,080 --> 00:12:03,839 Speaker 1: to get that detailed. Just say up, I said, I'm sorry. 205 00:12:03,880 --> 00:12:06,600 Speaker 1: I'm not resigning. Leave it to the book. If you're 206 00:12:06,640 --> 00:12:11,160 Speaker 1: truly sorry, just say it once. If you're not sorry that, 207 00:12:11,320 --> 00:12:14,679 Speaker 1: don't apologize, but just say it once. You don't have 208 00:12:14,760 --> 00:12:17,080 Speaker 1: to go on tour. If somebody's not going to accept 209 00:12:17,120 --> 00:12:20,280 Speaker 1: the apology, that's their problem. You know. The Only Times 210 00:12:20,320 --> 00:12:24,640 Speaker 1: ran their second editorial demanding that Sadio and de Leone resign. 211 00:12:24,720 --> 00:12:27,199 Speaker 1: It's like, yeah, you know, you're not in charge. You're 212 00:12:27,240 --> 00:12:32,920 Speaker 1: really so weasley, little bearded nerd writing editorials. Nobody has 213 00:12:32,920 --> 00:12:36,360 Speaker 1: to listen to you. Nobody, the voters in his district. 214 00:12:37,040 --> 00:12:39,760 Speaker 1: I mean, he's start a recall. He's been a dirt 215 00:12:39,840 --> 00:12:41,760 Speaker 1: he's been a dumb dirt bag all his life, and 216 00:12:41,800 --> 00:12:44,559 Speaker 1: they voted for him twenty five thousand votes. Not very 217 00:12:44,679 --> 00:12:47,400 Speaker 1: much but that's all who votes there. It's up to them. 218 00:12:48,320 --> 00:12:50,280 Speaker 1: You know, it's America. You can have a dumb dirt 219 00:12:50,280 --> 00:12:54,360 Speaker 1: bag represent you if that's what you're into. All right. Meanwhile, 220 00:12:54,400 --> 00:12:56,480 Speaker 1: we're talking about the homeless. Who just played a great 221 00:12:56,520 --> 00:13:01,439 Speaker 1: story from CBS to reporter David Goldstein about that suspicious 222 00:13:01,440 --> 00:13:04,079 Speaker 1: homeless count for La County that was released a few 223 00:13:04,120 --> 00:13:09,120 Speaker 1: weeks ago that many think is a lie, that they 224 00:13:09,160 --> 00:13:14,160 Speaker 1: deliberately undercounted significant portions of the county, including that one 225 00:13:14,480 --> 00:13:17,720 Speaker 1: Venice neighborhood where they came up with a zero. And 226 00:13:17,840 --> 00:13:20,760 Speaker 1: there's at least a couple hundred homeless people there, so 227 00:13:21,720 --> 00:13:25,040 Speaker 1: that apparent. And again I repeat that statistic, three hundred 228 00:13:25,080 --> 00:13:27,480 Speaker 1: and thirty five places in the county that reported homeless 229 00:13:27,520 --> 00:13:30,640 Speaker 1: people in twenty twenty this year, in twenty twenty two, 230 00:13:31,080 --> 00:13:34,520 Speaker 1: the census says zero. It's just not credible. How many 231 00:13:34,559 --> 00:13:37,959 Speaker 1: people do you think looked at that report before it 232 00:13:38,040 --> 00:13:41,480 Speaker 1: was made public? And remember you had employees of LASSA. 233 00:13:41,840 --> 00:13:44,320 Speaker 1: I don't know who those two women were standing there 234 00:13:44,360 --> 00:13:48,760 Speaker 1: and they were praising themselves for progress that they saw 235 00:13:48,760 --> 00:13:53,880 Speaker 1: on the report, which was a total lie. See, I 236 00:13:54,040 --> 00:13:57,120 Speaker 1: know just about everyone listening, if you were in charge 237 00:13:57,120 --> 00:13:59,720 Speaker 1: of LOSSA and you got a report with three hundred 238 00:13:59,760 --> 00:14:03,480 Speaker 1: thirty five zeros. Every single one of you would say, 239 00:14:03,760 --> 00:14:07,040 Speaker 1: this is nonsense. We're not releasing this. No one's gonna 240 00:14:07,040 --> 00:14:10,760 Speaker 1: believe it. It's garbage, it's a lie. Stop it. I 241 00:14:10,760 --> 00:14:14,520 Speaker 1: don't care if it's the app it's irrelevant. You have 242 00:14:14,640 --> 00:14:16,920 Speaker 1: a pair of eyes and a pen and paper. Figure 243 00:14:16,920 --> 00:14:21,320 Speaker 1: it out. That's the way the place ought to be run. Yeah, 244 00:14:21,440 --> 00:14:23,560 Speaker 1: you know what I think what really happened is they 245 00:14:23,600 --> 00:14:25,560 Speaker 1: get they do all the data, they put it together. 246 00:14:25,600 --> 00:14:28,120 Speaker 1: They said, oh, we're only up four percent, let's just 247 00:14:28,240 --> 00:14:31,400 Speaker 1: release this then. Yeah, but don't don't don't look into anything. 248 00:14:31,520 --> 00:14:34,320 Speaker 1: They should details. They should be fired, right. Find out 249 00:14:34,320 --> 00:14:36,280 Speaker 1: who the two women on that videotape where if you 250 00:14:36,280 --> 00:14:40,840 Speaker 1: could on the on the David Goldstein video, because I 251 00:14:41,400 --> 00:14:42,960 Speaker 1: watched the video and I didn't I didn't see a 252 00:14:43,000 --> 00:14:45,480 Speaker 1: graphic on their identifying them. Maybe I just but they're 253 00:14:45,520 --> 00:14:47,760 Speaker 1: with loss, they're with LASS. I mean those two should 254 00:14:47,800 --> 00:14:50,680 Speaker 1: be fired. Okay, now this is what I'm talking about. Everybody. 255 00:14:50,760 --> 00:14:53,040 Speaker 1: We spent a week. We spent a week trying to 256 00:14:53,240 --> 00:14:56,760 Speaker 1: uh get rid of, get rid of Daily oone for 257 00:14:56,760 --> 00:15:00,600 Speaker 1: for a bunch of nasty comments that or you know, 258 00:15:00,760 --> 00:15:05,840 Speaker 1: illegally recorded private conversation. Right here, you have the number 259 00:15:05,840 --> 00:15:10,440 Speaker 1: one issue affecting the city. Right half the mayor's race 260 00:15:10,600 --> 00:15:12,720 Speaker 1: is about homelessness and the other half is about crime. 261 00:15:13,080 --> 00:15:18,560 Speaker 1: And we are paying billions of dollars to LASSA and 262 00:15:18,680 --> 00:15:21,960 Speaker 1: other agencies to fix the problem. And this is their 263 00:15:22,000 --> 00:15:25,120 Speaker 1: report card, and they come out and they give us 264 00:15:25,440 --> 00:15:29,560 Speaker 1: a load of steaming horsecrap, a complete fabrication, A why 265 00:15:29,800 --> 00:15:33,840 Speaker 1: it's deceptive, it's fraud. It's now fraud and they should 266 00:15:33,880 --> 00:15:35,640 Speaker 1: be fired for it. And those two women ought to 267 00:15:35,680 --> 00:15:39,040 Speaker 1: be fired for going public with because they knowingly lied. 268 00:15:39,080 --> 00:15:40,800 Speaker 1: And you can't tell me they didn't know it. Three 269 00:15:40,880 --> 00:15:44,400 Speaker 1: hundred and thirty five zeros on the spreadsheet come on. 270 00:15:45,760 --> 00:15:49,360 Speaker 1: The LA County Board of Supervisors talked about a motion 271 00:15:49,480 --> 00:15:53,240 Speaker 1: yesterday to try to deal with the situation in Long Beach. 272 00:15:54,080 --> 00:15:57,040 Speaker 1: The Metro train which runs from downtown Los Angeles and 273 00:15:57,320 --> 00:16:01,760 Speaker 1: ends its journey in Long Beach. The rule is everybody off. 274 00:16:02,320 --> 00:16:06,360 Speaker 1: We got to clean the bodily fluids. So people in 275 00:16:06,400 --> 00:16:08,760 Speaker 1: this neighborhood and Long Beach are complaining that the homeless 276 00:16:08,760 --> 00:16:12,720 Speaker 1: are dumped there. So Janis Han has come up, Oh 277 00:16:12,760 --> 00:16:17,200 Speaker 1: my god, with well, this is what we should do. 278 00:16:17,360 --> 00:16:21,040 Speaker 1: We should consider round the clock navigation hubs within the 279 00:16:21,080 --> 00:16:24,840 Speaker 1: Metro system. Now they're with me here. This is fantastic 280 00:16:25,600 --> 00:16:29,240 Speaker 1: what she wants to do, because there's not enough quote 281 00:16:29,240 --> 00:16:31,760 Speaker 1: outreach workers there when the trains arrive at like two 282 00:16:31,760 --> 00:16:35,120 Speaker 1: in the morning or something like that, so instead they 283 00:16:35,160 --> 00:16:38,920 Speaker 1: want to provide I guess they'll put up little notices 284 00:16:39,560 --> 00:16:42,760 Speaker 1: directions to shelters for homeless people who exit the trains 285 00:16:42,840 --> 00:16:45,000 Speaker 1: at the end of the service day. That is idiotic. 286 00:16:45,120 --> 00:16:46,960 Speaker 1: Oh it is. That is not going to work. They 287 00:16:46,960 --> 00:16:49,000 Speaker 1: don't the bums don't kill. You have to you have 288 00:16:49,080 --> 00:16:51,240 Speaker 1: to put you have to put them. Now, the city 289 00:16:51,320 --> 00:16:54,520 Speaker 1: has to put them and a bus and drive them 290 00:16:54,520 --> 00:16:56,840 Speaker 1: out of Long Beach. Long Beach should not get a 291 00:16:57,040 --> 00:17:00,520 Speaker 1: daily supply at two in the morning of the day's 292 00:17:00,600 --> 00:17:03,520 Speaker 1: new homeless crop just because they're the end of the 293 00:17:03,600 --> 00:17:06,840 Speaker 1: line exactly. And by the way, they should have police 294 00:17:06,960 --> 00:17:12,040 Speaker 1: or sheriff's deputies or whoever's patrolling that throw the homeless off. 295 00:17:13,760 --> 00:17:18,240 Speaker 1: They want to establish a specialized homeless task force god 296 00:17:18,600 --> 00:17:22,480 Speaker 1: including representatives of Metro and the LA Homeless Oh, the 297 00:17:22,640 --> 00:17:28,400 Speaker 1: LA Homeless Services authority. Two. Yeah, right, those liars, those frauds. 298 00:17:28,880 --> 00:17:32,760 Speaker 1: This is so excruciating, this absolute. Only only Janis Hans 299 00:17:32,840 --> 00:17:35,560 Speaker 1: half a brain could come up with this idea post 300 00:17:35,600 --> 00:17:38,240 Speaker 1: a sign at the end of the metro stop, so 301 00:17:38,320 --> 00:17:41,720 Speaker 1: the homeless nowhere to go directions to their latest their 302 00:17:41,720 --> 00:17:45,600 Speaker 1: local service provider. Right they stumble off whacked out on 303 00:17:45,760 --> 00:17:51,399 Speaker 1: meth or fentonel or with schizophrenia. It's like, alf, where's 304 00:17:51,440 --> 00:17:54,879 Speaker 1: that sign that points they shouldn't be allowed on the train. 305 00:17:55,200 --> 00:18:00,280 Speaker 1: They should be thrown off the train period. All right? 306 00:18:01,560 --> 00:18:04,560 Speaker 1: When we come back, a couple of stories taken us 307 00:18:04,560 --> 00:18:10,720 Speaker 1: back a couple of years involving our beloved Employment Development Department, 308 00:18:10,800 --> 00:18:15,000 Speaker 1: that's the California agency responsible for paying out the unemployment money. 309 00:18:15,320 --> 00:18:18,320 Speaker 1: We have new details on just how bad that was, 310 00:18:18,760 --> 00:18:22,359 Speaker 1: and new details on efforts to claw back some of 311 00:18:22,400 --> 00:18:25,800 Speaker 1: the money. Yes, the fraud money. We'll talk about it, 312 00:18:25,880 --> 00:18:29,200 Speaker 1: John and Ken KF I Am six forty live everywhere 313 00:18:29,240 --> 00:18:31,879 Speaker 1: on the iHeartRadio app All right, well, repeating a big story, 314 00:18:32,200 --> 00:18:35,320 Speaker 1: he went tribal. Kevin dilling Own, the La City councilman 315 00:18:35,600 --> 00:18:38,399 Speaker 1: who many are calling for to resign over those leaked 316 00:18:38,400 --> 00:18:44,240 Speaker 1: audio recordings, went on Spanish language television Univision and announced 317 00:18:44,280 --> 00:18:48,200 Speaker 1: he will not resign. The entire interviews in Spanish it'll 318 00:18:48,200 --> 00:18:50,880 Speaker 1: air tonight, and I guess there'll be a translation played 319 00:18:50,920 --> 00:18:52,879 Speaker 1: parts of Yeah, the people who vote for him are 320 00:18:52,880 --> 00:18:55,960 Speaker 1: going to be watching. Yeah, that's exactly the theory. He 321 00:18:56,000 --> 00:18:58,359 Speaker 1: went to a place that would be a good source, 322 00:18:58,440 --> 00:19:01,080 Speaker 1: right because I saw something in a poll at seventy 323 00:19:01,119 --> 00:19:03,119 Speaker 1: eight percent of people in La County want him to 324 00:19:03,119 --> 00:19:06,239 Speaker 1: resign or La City, and I thought, well, I bet 325 00:19:06,320 --> 00:19:08,159 Speaker 1: you the twenty two percent a lot of them live 326 00:19:08,200 --> 00:19:13,200 Speaker 1: in his district, the ones that support him. Yeah, Well, 327 00:19:13,280 --> 00:19:15,320 Speaker 1: you know, if if people in this district don't like it, 328 00:19:15,359 --> 00:19:17,240 Speaker 1: they can start a recall and see what happens with 329 00:19:17,359 --> 00:19:19,840 Speaker 1: the you know, the voters in his districts, if they 330 00:19:19,840 --> 00:19:23,680 Speaker 1: are into that. Coming up after four o'clock, we'll head 331 00:19:23,680 --> 00:19:29,439 Speaker 1: out into Bidenville. He released more oil reserves. There's a 332 00:19:29,440 --> 00:19:32,840 Speaker 1: few stories that go around that, including reporters asked him, 333 00:19:32,920 --> 00:19:35,399 Speaker 1: is this something they do with the election, trying to 334 00:19:35,560 --> 00:19:38,520 Speaker 1: tamp down the gas price problem? You'll get his answer. 335 00:19:38,680 --> 00:19:40,640 Speaker 1: Let's play you that that's less than a day's worth 336 00:19:40,640 --> 00:19:45,919 Speaker 1: of gas. That's really it's virtue signaling. But now we 337 00:19:46,040 --> 00:19:49,080 Speaker 1: return to really what we both believe was one of 338 00:19:49,119 --> 00:19:55,400 Speaker 1: the most undercovered scandals in the history of California. Well, 339 00:19:55,760 --> 00:19:57,639 Speaker 1: you got to look at the high speed rail is 340 00:19:57,680 --> 00:20:01,560 Speaker 1: also it's it's undercovered for or that fiasco that's gone 341 00:20:01,560 --> 00:20:05,200 Speaker 1: on for now sixteen years. This is the most expensive 342 00:20:05,359 --> 00:20:09,720 Speaker 1: undercovered story exactly, and it all happened in a short 343 00:20:09,760 --> 00:20:13,639 Speaker 1: period of time. This is the fraud at the Unemployment 344 00:20:14,000 --> 00:20:18,119 Speaker 1: Agency for California known as the ed D, the Employment 345 00:20:18,200 --> 00:20:22,000 Speaker 1: Development Department. Who knows, like everything else in life, we 346 00:20:22,000 --> 00:20:24,360 Speaker 1: don't want to call it the unemployment Department because that's 347 00:20:24,359 --> 00:20:27,480 Speaker 1: just it. That's a negative connotation. We're going to help people, 348 00:20:27,520 --> 00:20:31,760 Speaker 1: we'll call it employment development. Well, we speak plainly here 349 00:20:32,119 --> 00:20:34,800 Speaker 1: on the show, and it's the Unemployment Department. And you 350 00:20:34,920 --> 00:20:37,879 Speaker 1: only got the money from this department if you were unemployed. 351 00:20:39,680 --> 00:20:44,040 Speaker 1: So we learned after the pandemic began that they really 352 00:20:44,080 --> 00:20:48,600 Speaker 1: had no controls on handing out the money. And officially 353 00:20:48,640 --> 00:20:52,520 Speaker 1: they're still reporting about twenty billion dollars in fraud from 354 00:20:52,600 --> 00:20:58,399 Speaker 1: domestic and international criminals. It was the largest reported amount 355 00:20:58,400 --> 00:21:03,199 Speaker 1: of pandemic related fraud any state. We also told you 356 00:21:03,280 --> 00:21:05,280 Speaker 1: then that one of the things they would not do 357 00:21:05,320 --> 00:21:07,840 Speaker 1: and Gavin Newsom was behind this was to do a 358 00:21:07,920 --> 00:21:12,479 Speaker 1: quick check of the inmates, just compare their solsal security 359 00:21:12,560 --> 00:21:14,720 Speaker 1: numbers to claims that were coming in, just to make 360 00:21:14,760 --> 00:21:17,080 Speaker 1: sure the inmates were not trying to grab some money. 361 00:21:17,400 --> 00:21:20,159 Speaker 1: And they thought that was a privacy violation that was blocked. 362 00:21:20,240 --> 00:21:28,280 Speaker 1: Newsom thought releasing prisoners social security numbers was just a 363 00:21:28,280 --> 00:21:30,960 Speaker 1: horrible invasion of their privacy. We're talking about people on 364 00:21:31,040 --> 00:21:34,720 Speaker 1: death row. He wouldn't release the social security numbers of 365 00:21:34,800 --> 00:21:38,080 Speaker 1: death row inmates. That's how Scott Peterson got one of 366 00:21:38,080 --> 00:21:44,199 Speaker 1: these EDD checks. So what we've had going on for 367 00:21:44,320 --> 00:21:46,159 Speaker 1: some time now, as a man by the name of 368 00:21:46,240 --> 00:21:49,560 Speaker 1: McGregor Scott, he's a former US attorney for the Eastern 369 00:21:49,640 --> 00:21:52,639 Speaker 1: District of California, he has the job to try to 370 00:21:52,840 --> 00:21:56,840 Speaker 1: get some of that money back for California. And I 371 00:21:56,840 --> 00:21:59,680 Speaker 1: can tell you right now that the last time we 372 00:21:59,760 --> 00:22:02,840 Speaker 1: talked about McGregor Scott and how much money they got back, 373 00:22:02,920 --> 00:22:06,200 Speaker 1: I don't think the needles moved. They've recovered a little 374 00:22:06,240 --> 00:22:09,800 Speaker 1: bit more than a billion dollars, but that was months ago. Yeah, 375 00:22:09,800 --> 00:22:12,120 Speaker 1: that's about it. And the reason is simple. They did 376 00:22:12,119 --> 00:22:15,320 Speaker 1: it by freezing EDD bank debit cards obtained through fraud. 377 00:22:15,600 --> 00:22:17,840 Speaker 1: If you're going to stop this from happening, you've got 378 00:22:17,840 --> 00:22:20,320 Speaker 1: to do it quickly, because what the crooks will do 379 00:22:20,400 --> 00:22:22,000 Speaker 1: is they take the money out of there as fast 380 00:22:22,000 --> 00:22:24,080 Speaker 1: as they can and launder it the money. If you 381 00:22:24,080 --> 00:22:25,800 Speaker 1: haven't gotten the money back by now, you're not going 382 00:22:25,840 --> 00:22:27,480 Speaker 1: to get most of it now. The money they got 383 00:22:27,600 --> 00:22:33,119 Speaker 1: was was unused funds in these accounts. It's stuff's right, 384 00:22:33,200 --> 00:22:37,080 Speaker 1: they didn't spend so that that was easy. But once 385 00:22:37,119 --> 00:22:39,440 Speaker 1: it's taken out of the account, it's gone forever. They'll 386 00:22:39,440 --> 00:22:41,439 Speaker 1: never get it back. Yeah, they're trying to track some 387 00:22:41,480 --> 00:22:43,879 Speaker 1: of these people down. They have arrested some people and 388 00:22:44,040 --> 00:22:47,840 Speaker 1: charge some people with unemployment fraud. Do you know what 389 00:22:47,880 --> 00:22:51,679 Speaker 1: he's shocking about this? And this is entirely Newsom's responsibility 390 00:22:52,000 --> 00:22:54,679 Speaker 1: for those of you who are voting for that fraud. 391 00:22:55,560 --> 00:23:02,000 Speaker 1: They think that thirty six percent of the cases filed 392 00:23:02,320 --> 00:23:05,679 Speaker 1: thirty seven at thirty six point six thirty seven rounds 393 00:23:05,720 --> 00:23:09,400 Speaker 1: up to thirty seven, thirty seven percent are fraudulent. Thirty 394 00:23:09,440 --> 00:23:13,359 Speaker 1: seven percent of the claims made were fraudulent. Well, they 395 00:23:13,440 --> 00:23:15,520 Speaker 1: right here. What percentage of that was outright fraud or 396 00:23:15,520 --> 00:23:20,080 Speaker 1: mistakes is unclear? But most believe it's the majority was fraud. 397 00:23:20,119 --> 00:23:23,520 Speaker 1: It's all fraud. Of course it was. There were no 398 00:23:23,560 --> 00:23:26,960 Speaker 1: controls on it, and they really had no controls. They're like, 399 00:23:26,960 --> 00:23:28,720 Speaker 1: we've got to get the helps of people right away, said, 400 00:23:28,720 --> 00:23:32,280 Speaker 1: don't ask any questions, send the money out. That's exactly 401 00:23:32,320 --> 00:23:35,200 Speaker 1: what happened for quite a while back in twenty twenty. 402 00:23:36,000 --> 00:23:41,880 Speaker 1: The Lexus Nexus Risk Solutions. I guess is they've looked 403 00:23:41,880 --> 00:23:44,960 Speaker 1: at this issue. Heywood Talcove is the CEO of the 404 00:23:45,000 --> 00:23:48,119 Speaker 1: Government Division. He says the number is closer to thirty 405 00:23:48,160 --> 00:23:51,080 Speaker 1: two point six billion, not twenty billion. Yeah, I've heard 406 00:23:51,080 --> 00:23:54,160 Speaker 1: thirty billion for quite a while. Now is a better number. Well, 407 00:23:54,200 --> 00:23:57,280 Speaker 1: because he said he looked at the Federal Labor Department 408 00:23:57,320 --> 00:24:03,120 Speaker 1: audits that showed California averaged a high job a high 409 00:24:03,200 --> 00:24:07,439 Speaker 1: jobless fraud rate, and an improper payment rate three years 410 00:24:07,560 --> 00:24:10,520 Speaker 1: before the pandemic, and the number didn't go down during 411 00:24:10,520 --> 00:24:13,919 Speaker 1: the pandemic, it only went up. In other words, leading 412 00:24:13,960 --> 00:24:17,399 Speaker 1: into the pandemic, California had a high rate of fraud. 413 00:24:18,520 --> 00:24:21,480 Speaker 1: They were they were paying out probably thirty per seven 414 00:24:21,520 --> 00:24:25,600 Speaker 1: percent of the claims and they were fraudulent. I like 415 00:24:25,680 --> 00:24:29,280 Speaker 1: what Jim Patterson, the Republican state assemblyman from Fresno we've 416 00:24:29,280 --> 00:24:31,280 Speaker 1: had on the show many times, said the stead of 417 00:24:31,320 --> 00:24:33,800 Speaker 1: California has to stop patting itself on the back that 418 00:24:33,840 --> 00:24:36,240 Speaker 1: they're doing something. This is patchwork. We only got a 419 00:24:36,240 --> 00:24:38,520 Speaker 1: billion back at a baby thirty to thirty five billion. 420 00:24:38,560 --> 00:24:40,960 Speaker 1: That's a terrible batting average. We got to do better 421 00:24:41,000 --> 00:24:43,080 Speaker 1: than that. But as I said before, I think it's 422 00:24:43,080 --> 00:24:45,760 Speaker 1: too late. It is too late. It's somebody that defrauded 423 00:24:45,800 --> 00:24:47,440 Speaker 1: us two and a half years ago. That money is 424 00:24:47,440 --> 00:24:49,960 Speaker 1: out there in the lawnder world. You know. I heard 425 00:24:50,000 --> 00:24:53,040 Speaker 1: a report on Fox this morning, and they think collectively 426 00:24:53,160 --> 00:24:57,720 Speaker 1: from all the COVID programs, you know, Congress pass trillion 427 00:24:57,920 --> 00:25:02,040 Speaker 1: trade roll protection and yeah, that it's probably five hundred 428 00:25:02,080 --> 00:25:08,480 Speaker 1: billion dollars was stolen collectively from all the payouts, a 429 00:25:08,560 --> 00:25:13,600 Speaker 1: half a trillion dollars stolen from taxpayers. Now they think 430 00:25:13,600 --> 00:25:15,639 Speaker 1: it's at least one hundred and sixty three billion just 431 00:25:15,760 --> 00:25:20,280 Speaker 1: from the unemployment money. We have, obviously the dumbest, sloppiest, 432 00:25:20,320 --> 00:25:23,359 Speaker 1: most careless government on the federal level and on the 433 00:25:23,400 --> 00:25:26,280 Speaker 1: state level. The people who work in these departments, all 434 00:25:26,320 --> 00:25:30,520 Speaker 1: these faceless, nameless, colorless bureaucrats, there's not one of them 435 00:25:30,520 --> 00:25:33,639 Speaker 1: that cares though the rest of the world looted a 436 00:25:33,640 --> 00:25:38,040 Speaker 1: half a trillion from US and nobody cares. So now 437 00:25:38,080 --> 00:25:42,159 Speaker 1: they have a driver's license authentication system called id ME 438 00:25:43,359 --> 00:25:46,960 Speaker 1: the state thinks is a highly secure identity verification process, 439 00:25:47,400 --> 00:25:51,520 Speaker 1: and they hired an outside data analysis firm. Yeah. Sure, 440 00:25:53,320 --> 00:25:56,199 Speaker 1: so confident they're getting a handle on these There are 441 00:25:56,280 --> 00:26:00,399 Speaker 1: reports that they're still being defrauded. The unemploye money is 442 00:26:00,440 --> 00:26:02,359 Speaker 1: still being in the Russians. And that was the point 443 00:26:02,359 --> 00:26:04,280 Speaker 1: of the guy from Lexus Nexus. He goes, look how 444 00:26:04,320 --> 00:26:07,760 Speaker 1: much they were defrauded three years before the pandemic. That's 445 00:26:07,760 --> 00:26:09,680 Speaker 1: how he got the thirty two billion dollars. You looked 446 00:26:09,680 --> 00:26:11,919 Speaker 1: at the rate of fraud before the pandemic, said, the 447 00:26:12,040 --> 00:26:14,680 Speaker 1: rate of fraud went higher during the pandemic. So that's 448 00:26:14,720 --> 00:26:16,800 Speaker 1: why it's got to be at least thirty two billion dollars. 449 00:26:17,000 --> 00:26:19,840 Speaker 1: Because the pandemic was the floodgates. They didn't want to 450 00:26:19,840 --> 00:26:22,520 Speaker 1: get in the way of people getting their claims because 451 00:26:23,160 --> 00:26:25,000 Speaker 1: people are counting on this money. Get it out there, 452 00:26:25,359 --> 00:26:27,760 Speaker 1: all right, We got more coming up. John and ken 453 00:26:27,960 --> 00:26:31,440 Speaker 1: kf I am six forty live everywhere in the iHeartRadio app. 454 00:26:31,480 --> 00:26:34,640 Speaker 1: I'll look at it. The sample ballot that just came 455 00:26:34,920 --> 00:26:38,480 Speaker 1: to my mailbox today for the election. They want to 456 00:26:38,560 --> 00:26:41,600 Speaker 1: raise the sales tax in my town to ten point 457 00:26:41,640 --> 00:26:44,800 Speaker 1: two five percent. Good lord, right, it's like nine and 458 00:26:44,840 --> 00:26:49,840 Speaker 1: a half for what they're arguing that they don't get 459 00:26:49,960 --> 00:26:52,720 Speaker 1: enough of the money from the county, in other words, 460 00:26:52,760 --> 00:26:55,680 Speaker 1: that the county sales tax, and then you can add 461 00:26:55,720 --> 00:27:00,280 Speaker 1: on locally if the voters approve, and then allegedly get 462 00:27:00,280 --> 00:27:04,320 Speaker 1: more of that money for your local budget. But ten 463 00:27:04,400 --> 00:27:08,040 Speaker 1: and a quarter of that stats obscene. Tell them no, 464 00:27:08,960 --> 00:27:13,480 Speaker 1: I voted, I vote no. Thank you. All right, coming 465 00:27:13,600 --> 00:27:16,800 Speaker 1: up after four o'clock, we'll stroll into Bidenville. We'll play 466 00:27:16,920 --> 00:27:20,439 Speaker 1: the wonderful intro. We'll talk about Joe's move to release 467 00:27:20,640 --> 00:27:24,959 Speaker 1: more oil from America's strategic reserves. We'll also tell you 468 00:27:25,000 --> 00:27:26,760 Speaker 1: that Joe is gonna go bye bye for a couple 469 00:27:26,760 --> 00:27:29,679 Speaker 1: of weeks. It's gonna work from home in Delaware. You 470 00:27:29,720 --> 00:27:33,159 Speaker 1: know what's been underreported. He's apparently spent more time away 471 00:27:33,160 --> 00:27:36,360 Speaker 1: from Washington, d C. In Delaware and his first year 472 00:27:36,480 --> 00:27:38,840 Speaker 1: or two years here in office than Trump did. And 473 00:27:38,880 --> 00:27:41,560 Speaker 1: they made so much about Trump's trips to Morrow Lague 474 00:27:41,720 --> 00:27:43,600 Speaker 1: in Florida. Trump is out there golfing all the time 475 00:27:43,600 --> 00:27:46,159 Speaker 1: in New Jersey. Just spend a lot of time in 476 00:27:46,560 --> 00:27:49,480 Speaker 1: bed Delaware. They should lock him in the basement in 477 00:27:49,600 --> 00:27:53,320 Speaker 1: Delaware for the next two years. Yeah, apparently there's nobody 478 00:27:53,359 --> 00:27:55,480 Speaker 1: really calling for him on the campaign trail, so he 479 00:27:55,520 --> 00:27:57,360 Speaker 1: has time to go to Delaware and sit and maybe 480 00:27:57,480 --> 00:28:00,639 Speaker 1: ride his bike around the backyard. Can you mad? We 481 00:28:00,760 --> 00:28:03,640 Speaker 1: got this this huge election coming up, and he has 482 00:28:03,720 --> 00:28:06,240 Speaker 1: nothing to do. He's sidelined. I saw Obama's going to 483 00:28:06,320 --> 00:28:11,680 Speaker 1: campaign with a couple of candidates, but Joe took Joe, 484 00:28:12,400 --> 00:28:16,440 Speaker 1: sit down, have a cup of tea. Here's a blanket sedative. 485 00:28:16,720 --> 00:28:19,520 Speaker 1: Somebody read them a bedtime story. I don't need you 486 00:28:19,640 --> 00:28:24,560 Speaker 1: right now. Here's your grilled cheese. Well, Deborah Mark a 487 00:28:24,600 --> 00:28:28,800 Speaker 1: big day for you. Yeah? Why can? The City of 488 00:28:28,920 --> 00:28:33,600 Speaker 1: Los Angeles and its City Council voted unanimously yesterday to 489 00:28:33,720 --> 00:28:38,160 Speaker 1: adopt a resolution in support of the Global Plant Based 490 00:28:38,200 --> 00:28:42,120 Speaker 1: Treaty initiative. WHOA here is what you think it is, 491 00:28:42,160 --> 00:28:47,560 Speaker 1: and it's moving us away from animal agriculture. Goodness. I 492 00:28:47,600 --> 00:28:51,480 Speaker 1: have a question how it's a plant based treaty. John A. Treaty. 493 00:28:51,720 --> 00:28:54,280 Speaker 1: How much farming has done in the city of Los Angeles. 494 00:28:55,480 --> 00:28:59,600 Speaker 1: That's not the pointing. But we eat the meat. That's correct, 495 00:29:00,080 --> 00:29:04,760 Speaker 1: right they consumed? Are they banning consumption of me? They 496 00:29:04,800 --> 00:29:07,640 Speaker 1: can't know. They can't do that. It's a resolution, it 497 00:29:07,680 --> 00:29:10,840 Speaker 1: has it's a resolution. It's just virtue signaling. It's a 498 00:29:12,280 --> 00:29:17,440 Speaker 1: it's a pr move. But favorite, hold guess what, We've 499 00:29:17,440 --> 00:29:20,000 Speaker 1: become the world's largest city to endorse the treaty. This 500 00:29:20,080 --> 00:29:22,600 Speaker 1: is what they did. Oh, but GARSETI has to approve first. 501 00:29:22,600 --> 00:29:24,719 Speaker 1: Wait wait, wait, this was the business that they couldn't 502 00:29:24,800 --> 00:29:30,280 Speaker 1: conduct for a week yesterday. Oh, thank god they finally 503 00:29:30,320 --> 00:29:33,200 Speaker 1: got to it. Look at all the damage those protesters did. 504 00:29:33,280 --> 00:29:36,760 Speaker 1: Look what Daileon and Sadeo did, pushed off this treaty 505 00:29:36,880 --> 00:29:39,959 Speaker 1: for all week. Next item on the agenda, the plant 506 00:29:39,960 --> 00:29:43,719 Speaker 1: based Treaty. What is a treated important treaty? Wait? Wait, 507 00:29:44,040 --> 00:29:46,280 Speaker 1: a treaty is when you have two sides warring and 508 00:29:46,280 --> 00:29:49,640 Speaker 1: they agree to stop bombing each other. Debora, It's about 509 00:29:49,640 --> 00:29:54,320 Speaker 1: the three rs. Number one. Relinquish no land use changes, 510 00:29:54,680 --> 00:30:00,760 Speaker 1: ecosystem degradation or deforestation for animal agriculture. Redirect an active 511 00:30:00,800 --> 00:30:05,240 Speaker 1: transition away from animal based food systems to plant based systems. 512 00:30:05,800 --> 00:30:09,800 Speaker 1: That John, animal based foods systems. D that's that's the 513 00:30:09,960 --> 00:30:14,480 Speaker 1: that's your your bamburger meat. Yeah, what does this mean 514 00:30:14,640 --> 00:30:19,200 Speaker 1: in the city? What is that? Like the delivery truck 515 00:30:19,240 --> 00:30:22,040 Speaker 1: that takes the burger meat to in and out? It's 516 00:30:22,040 --> 00:30:25,880 Speaker 1: a resolution. It's just asking you to stop eating the meat, 517 00:30:25,920 --> 00:30:28,920 Speaker 1: so they'll stop killing the cows and we'll stop. It's 518 00:30:28,960 --> 00:30:31,120 Speaker 1: hoping that you'll do this on your own. John and 519 00:30:31,160 --> 00:30:34,200 Speaker 1: the cow farts that are killing the atmosphere. The Albert 520 00:30:34,240 --> 00:30:36,480 Speaker 1: truck can't deliver the meat anymore. They're gonna be forced 521 00:30:36,480 --> 00:30:39,800 Speaker 1: off the road by the by police. And the third 522 00:30:39,920 --> 00:30:45,520 Speaker 1: R is restore actively restore key ecosystems, particularly restoring forests 523 00:30:45,560 --> 00:30:49,360 Speaker 1: and re rewilding landscapes. Rewilding Why don't they get the 524 00:30:49,400 --> 00:30:51,600 Speaker 1: homeless out of the Bologna wetlands if they're worried about 525 00:30:51,600 --> 00:31:00,840 Speaker 1: the ecosystem, Sorry about that. It's bad lunch among big cities. 526 00:31:00,880 --> 00:31:04,640 Speaker 1: Los Angeles has joined. When I said us endorsing the treaty, 527 00:31:04,720 --> 00:31:07,640 Speaker 1: I think Deborah Mark wrote the treaty I did. I 528 00:31:07,680 --> 00:31:09,600 Speaker 1: was on the keeping it on the down low, but 529 00:31:09,720 --> 00:31:11,760 Speaker 1: you called me out. And what kind of a nut 530 00:31:11,840 --> 00:31:16,160 Speaker 1: Right writes that gobbledegook like, wow, you know how much 531 00:31:16,320 --> 00:31:19,240 Speaker 1: dairy products and milk contributed, they say, to the state's 532 00:31:19,280 --> 00:31:23,000 Speaker 1: economy eight billion dollars. Uh, yeah, that's a lot of 533 00:31:23,080 --> 00:31:26,560 Speaker 1: jobs there. I know. I thought there was more dairy 534 00:31:26,600 --> 00:31:28,760 Speaker 1: in like Wisconsin and other places. But oh, we got 535 00:31:28,800 --> 00:31:31,840 Speaker 1: forty million people and most of them are normal. Well 536 00:31:31,840 --> 00:31:36,560 Speaker 1: but no, no, they eat meat, they drink mal Oh, 537 00:31:36,600 --> 00:31:39,040 Speaker 1: so you're not normal if you don't eat meat and 538 00:31:39,160 --> 00:31:42,400 Speaker 1: drink milk. Okay, you said it. No, I'm you just 539 00:31:42,400 --> 00:31:49,200 Speaker 1: said it. No, I agree with you. California does have 540 00:31:49,240 --> 00:31:51,840 Speaker 1: the country's largest dairy industry. You know how many cows 541 00:31:51,840 --> 00:31:55,040 Speaker 1: there are? Deborah Mark one point seven million? Oh, wow, 542 00:31:55,920 --> 00:32:00,600 Speaker 1: state which contributed the dairy industry here, there's a lot 543 00:32:00,600 --> 00:32:03,520 Speaker 1: of milk. Oh, and how much are going down for food? 544 00:32:03,600 --> 00:32:07,320 Speaker 1: Five point two million head of cattle and calves that 545 00:32:07,480 --> 00:32:13,040 Speaker 1: I guess go to John's and how many how many? Yeah, 546 00:32:13,080 --> 00:32:15,320 Speaker 1: how many head of cattle I've eaten in my life? 547 00:32:18,160 --> 00:32:20,560 Speaker 1: That would be yeah, I mean, stack up all the 548 00:32:20,600 --> 00:32:22,840 Speaker 1: beef I've eaten in my whole life. You do have 549 00:32:22,920 --> 00:32:25,880 Speaker 1: some sort of beef product every day, don't you. Yes, 550 00:32:26,160 --> 00:32:29,560 Speaker 1: shame on you. Sometimes twice or oh, yeah, you do 551 00:32:29,880 --> 00:32:33,560 Speaker 1: occasionally twice. Yeah, I'm sure. Don't you eat two meals? 552 00:32:34,600 --> 00:32:36,840 Speaker 1: H yeah? But or is that bagel? That's a meal? 553 00:32:36,880 --> 00:32:40,200 Speaker 1: That bagel you eat that that? There's no beef in that? No? No, 554 00:32:40,280 --> 00:32:42,440 Speaker 1: but there's dairy on it? You put cream cheese? Oh yeah, no, 555 00:32:42,480 --> 00:32:45,719 Speaker 1: there's no way. All right, every single meal has some 556 00:32:45,800 --> 00:32:52,680 Speaker 1: kind of dairy, if not not mine. You really love 557 00:32:52,720 --> 00:32:56,640 Speaker 1: a fun life. I do. I'm very happy with my choices. Seriously, 558 00:32:56,720 --> 00:33:00,920 Speaker 1: I don't miss. I do not miss. How long does 559 00:33:01,000 --> 00:33:04,480 Speaker 1: it take you the order in a restaurant? Well, I 560 00:33:04,600 --> 00:33:09,840 Speaker 1: go to restaurants that have vegans options, exactly, right. But 561 00:33:09,840 --> 00:33:11,400 Speaker 1: what if if someone takes you to a place that 562 00:33:11,440 --> 00:33:13,080 Speaker 1: you're not familiar and just say, hey do you have 563 00:33:13,200 --> 00:33:15,280 Speaker 1: do you have any vegan options? Or hey can I 564 00:33:15,280 --> 00:33:18,520 Speaker 1: get that avocado toast without the egg on top of it? Right? 565 00:33:18,560 --> 00:33:20,800 Speaker 1: But there's a lot of questions if you order some 566 00:33:20,880 --> 00:33:24,360 Speaker 1: kind of salad or soup where there's yes, yes, not 567 00:33:24,720 --> 00:33:27,920 Speaker 1: obvious ingredients to who cares? Okay, if that's the one 568 00:33:28,000 --> 00:33:30,120 Speaker 1: bad trait that I have, what was it like four 569 00:33:30,200 --> 00:33:33,080 Speaker 1: or five minutes? No, it's it took me two seconds 570 00:33:33,120 --> 00:33:35,840 Speaker 1: to say Do you have avocado toast without an egg, 571 00:33:38,240 --> 00:33:41,720 Speaker 1: without butter? That's it. No. I don't give suggestions. I 572 00:33:41,840 --> 00:33:44,200 Speaker 1: just ask, oh, can I get that without the cheese? 573 00:33:45,720 --> 00:33:48,080 Speaker 1: And they don't roll their eyes and say oh another one. Oh. 574 00:33:48,120 --> 00:33:51,040 Speaker 1: They'll say, oh no, it's pre mixed, and I say, okay, well, 575 00:33:51,120 --> 00:33:55,840 Speaker 1: is there anything else? How about a pizza without the cheese? Oh? Really? 576 00:33:55,880 --> 00:33:59,600 Speaker 1: You like that? It's dried bread. That's fine, I'll take that. 577 00:34:00,040 --> 00:34:02,240 Speaker 1: See it's only a few it's not long. I'd you 578 00:34:02,280 --> 00:34:05,880 Speaker 1: just bring toast with you then? Well, Fortunately, living in 579 00:34:05,920 --> 00:34:09,120 Speaker 1: Los Angeles, I don't have to. There are enough places 580 00:34:09,200 --> 00:34:12,759 Speaker 1: that have options. Okay. Right when we return, we'll be 581 00:34:12,840 --> 00:34:16,400 Speaker 1: in Bidenville. He's released more oil from these strategic reserves. 582 00:34:16,440 --> 00:34:19,479 Speaker 1: He's heading to Delaware. We got a lot to talk about, 583 00:34:19,560 --> 00:34:22,200 Speaker 1: John and Ken kf I am six forty live everywhere 584 00:34:22,239 --> 00:34:24,600 Speaker 1: on the iHeartRadio app de Remark Live, the twenty four 585 00:34:24,640 --> 00:34:25,560 Speaker 1: hour CAFAN Newsroom