1 00:00:00,080 --> 00:00:03,840 Speaker 1: It's never been more important to diversify your financial portfolio. Well, 2 00:00:03,840 --> 00:00:06,680 Speaker 1: that's right. The S and P is down twenty percent 3 00:00:06,720 --> 00:00:08,760 Speaker 1: from the last year, and this year looks even worse. 4 00:00:08,960 --> 00:00:12,080 Speaker 1: Gold and precious metals offer a hedge against inflation and 5 00:00:12,240 --> 00:00:16,200 Speaker 1: stock market volatility, and Legacy Precious Metals is the company 6 00:00:16,239 --> 00:00:19,080 Speaker 1: can and I trust protect your retirement account by rolling 7 00:00:19,079 --> 00:00:22,400 Speaker 1: it into a goldback IRA or have metal shipped directly 8 00:00:22,440 --> 00:00:25,360 Speaker 1: to your door. Call our friends at Legacy Precious Metals 9 00:00:25,360 --> 00:00:29,720 Speaker 1: today at eight six six six nine twenty one seventy three, 10 00:00:29,880 --> 00:00:34,559 Speaker 1: or are visit by legacygold dot com this week at Safeway, 11 00:00:34,680 --> 00:00:38,159 Speaker 1: enjoy big savings with the Bogo Sail, where select items 12 00:00:38,159 --> 00:00:40,839 Speaker 1: throughout the store are buy one, get one free. With 13 00:00:40,960 --> 00:00:43,960 Speaker 1: this week's Bogo Sail gets select meets like Signature Farms, 14 00:00:44,040 --> 00:00:47,280 Speaker 1: ninety percent lean ground beef or bowless skinless chicken breasts 15 00:00:47,400 --> 00:00:50,840 Speaker 1: or thighs Buy one, get one free, plus select fresh 16 00:00:50,880 --> 00:00:54,000 Speaker 1: produce items like one pound containers of sweet strawberries or 17 00:00:54,040 --> 00:00:57,640 Speaker 1: containers of blueberries or buy one get one free Safeway. 18 00:00:57,760 --> 00:01:02,120 Speaker 1: Come in and explore and see what other deals and fine. 19 00:01:02,560 --> 00:01:05,240 Speaker 1: All right tomorrow during this hour we will have the 20 00:01:05,319 --> 00:01:08,840 Speaker 1: moist line back. So if that's something you look forward to, 21 00:01:08,880 --> 00:01:11,200 Speaker 1: it'll be the first time in two weeks. We always 22 00:01:11,200 --> 00:01:14,920 Speaker 1: know that it needs a flush. You can still leave 23 00:01:14,959 --> 00:01:18,160 Speaker 1: a message using the iHeartRadio app, the talk back feature 24 00:01:18,160 --> 00:01:20,480 Speaker 1: the little microphone. You can call toll free one eight 25 00:01:20,600 --> 00:01:23,199 Speaker 1: seven seven moist eighty six one eight seven seven sixty 26 00:01:23,200 --> 00:01:27,039 Speaker 1: six four seven eight eighty six. And there is a 27 00:01:27,160 --> 00:01:29,680 Speaker 1: hack for the dumpster tomorrow. It is an easy choice 28 00:01:29,680 --> 00:01:32,200 Speaker 1: and a fun choice. You'll find out all this tomorrow. 29 00:01:33,680 --> 00:01:35,520 Speaker 1: All right, we are now going to talk to a 30 00:01:35,600 --> 00:01:39,640 Speaker 1: candidate for statewide office on your ballot. They reached out 31 00:01:39,680 --> 00:01:42,319 Speaker 1: to us. We took a look and said, sure, why not. 32 00:01:43,040 --> 00:01:46,160 Speaker 1: We also found out that this person has been endorsed 33 00:01:46,800 --> 00:01:50,160 Speaker 1: by the Los Angeles Times. It's a Republican running for 34 00:01:50,280 --> 00:01:55,400 Speaker 1: state controller. His name is Lanha Chen. He apparently is 35 00:01:55,400 --> 00:01:59,080 Speaker 1: a public policy expert who teaches at Stanford University. Grew 36 00:01:59,160 --> 00:02:02,680 Speaker 1: up in southern Calia but now lives in the Bay Area, 37 00:02:02,840 --> 00:02:07,080 Speaker 1: and in his candidate statement said a lot about the 38 00:02:07,680 --> 00:02:10,480 Speaker 1: spending in the state that needs to be more closely tracked. 39 00:02:10,639 --> 00:02:12,880 Speaker 1: All right, so we're gonna get on you bunch them 40 00:02:12,960 --> 00:02:17,080 Speaker 1: up there, Land heat Chen, I am here hell right, 41 00:02:17,960 --> 00:02:20,600 Speaker 1: good to have you on. Thank you for taking the time. 42 00:02:20,720 --> 00:02:24,639 Speaker 1: Appreciate you guys. So explain to people because people vote 43 00:02:24,639 --> 00:02:26,520 Speaker 1: for so many things and they don't even know what 44 00:02:26,600 --> 00:02:30,679 Speaker 1: the job is. What does the state controller do. Think 45 00:02:30,720 --> 00:02:34,440 Speaker 1: of the state controller as the chief financial washdog of 46 00:02:34,480 --> 00:02:37,200 Speaker 1: the state. Basically the person who's supposed to give us 47 00:02:37,240 --> 00:02:41,120 Speaker 1: accountability and transparency into every single dollar the state spends, 48 00:02:41,120 --> 00:02:43,000 Speaker 1: which we know we don't have. Now we know that 49 00:02:43,040 --> 00:02:46,160 Speaker 1: we've got literally hundreds of billions of dollars slashing around 50 00:02:46,160 --> 00:02:49,320 Speaker 1: in Sacramento, and there's no accountability for how that money 51 00:02:49,400 --> 00:02:51,320 Speaker 1: is spent. And so there has to be someone in 52 00:02:51,400 --> 00:02:54,400 Speaker 1: theory who's up there watching out for taxpayers. And that 53 00:02:54,520 --> 00:02:57,040 Speaker 1: is really what the controller is about. The controller is 54 00:02:57,440 --> 00:02:59,720 Speaker 1: the chief audit officer. You get to audit all the 55 00:02:59,720 --> 00:03:01,760 Speaker 1: spending that happens at the state level. You can even 56 00:03:01,800 --> 00:03:04,760 Speaker 1: audit actually local agencies that use state money. So great 57 00:03:04,760 --> 00:03:07,400 Speaker 1: example of that is k through twelve school districts. And 58 00:03:07,480 --> 00:03:10,480 Speaker 1: so you have this ability to audit, to provide information, 59 00:03:10,520 --> 00:03:13,400 Speaker 1: and to be a watchdog for taxpayers. That's really what 60 00:03:13,400 --> 00:03:16,480 Speaker 1: the job is about. So that's different from the treasurer. 61 00:03:16,480 --> 00:03:20,200 Speaker 1: The treasure is more about just putting out the money. Yeah, 62 00:03:20,040 --> 00:03:22,919 Speaker 1: the treasurer deals with all of the money coming in. 63 00:03:23,040 --> 00:03:25,120 Speaker 1: The controller deals with all the money going out. That's 64 00:03:25,120 --> 00:03:26,560 Speaker 1: the way to think about it. So the treasurer is 65 00:03:26,600 --> 00:03:30,120 Speaker 1: kind of like you know, state bond rating and you 66 00:03:30,200 --> 00:03:33,959 Speaker 1: know issues involving tax collection. And the controller really is 67 00:03:34,000 --> 00:03:37,080 Speaker 1: the person who's supposed to oversee the spending. And in 68 00:03:37,120 --> 00:03:39,160 Speaker 1: some ways, you know, when they're spending going on that's 69 00:03:39,200 --> 00:03:42,320 Speaker 1: fishy or illegal, the controller can basically say, hey, listen, 70 00:03:42,360 --> 00:03:44,600 Speaker 1: we're not going to cut the check. A couple of 71 00:03:44,640 --> 00:03:47,400 Speaker 1: years ago, there was a scandal where Alex Paedia, when 72 00:03:47,400 --> 00:03:49,080 Speaker 1: he was Secretary of State, tried to take a bunch 73 00:03:49,080 --> 00:03:51,880 Speaker 1: of money and instead of sending it to registrars of voters, 74 00:03:51,920 --> 00:03:53,320 Speaker 1: he decided, hey, now I'm going to send it to 75 00:03:53,320 --> 00:03:57,080 Speaker 1: a democratic pr firm, And the controller actually stepped up 76 00:03:57,080 --> 00:03:58,760 Speaker 1: and said, no, we're not going to cut the check. 77 00:03:59,160 --> 00:04:01,400 Speaker 1: And so the control roller has the ability to make 78 00:04:01,400 --> 00:04:03,560 Speaker 1: sure that spending is happening the way we're told it's 79 00:04:04,320 --> 00:04:07,440 Speaker 1: the way it's being done. What should a controller could 80 00:04:07,640 --> 00:04:10,120 Speaker 1: what could have a controller have done or should have 81 00:04:10,200 --> 00:04:14,960 Speaker 1: done about the tens of billions of dollars in waste, 82 00:04:15,000 --> 00:04:19,000 Speaker 1: and with the Employment Development Department which sent out all 83 00:04:19,000 --> 00:04:23,520 Speaker 1: those unemployment checks during COVID and you ended up with 84 00:04:24,720 --> 00:04:27,159 Speaker 1: at least thirty billion dollars worth of fraud. And you 85 00:04:27,279 --> 00:04:32,719 Speaker 1: had even death row inmates get getting checks from the 86 00:04:32,760 --> 00:04:36,400 Speaker 1: state government. What should have been done there while it 87 00:04:36,480 --> 00:04:40,760 Speaker 1: was happening. This thing was a complete fiasco. First of all, 88 00:04:41,080 --> 00:04:42,840 Speaker 1: we should have stopped it before it happened, all right, 89 00:04:42,839 --> 00:04:45,240 Speaker 1: If we had controllers that were actually not really asleep 90 00:04:45,279 --> 00:04:47,400 Speaker 1: at the switch, we wouldn't have had this challenge in 91 00:04:47,440 --> 00:04:50,640 Speaker 1: the first place. Why, ten years ago, before the pandemic 92 00:04:50,720 --> 00:04:53,480 Speaker 1: hit the state auditor we actually had a state auditor too, 93 00:04:53,520 --> 00:04:56,520 Speaker 1: believe it or not. The auditor wrote a report and said, hey, listen, 94 00:04:56,560 --> 00:04:59,760 Speaker 1: if you don't fix this program called edd because, by 95 00:04:59,760 --> 00:05:02,080 Speaker 1: the way, the technology on which it's built us from 96 00:05:02,080 --> 00:05:04,840 Speaker 1: the Vietnam War era. If you don't fix this, you're 97 00:05:04,839 --> 00:05:07,359 Speaker 1: gonna have a massive fraud on your hands. So for 98 00:05:07,440 --> 00:05:10,279 Speaker 1: ten years the Sacramento politicians basically sat on it and 99 00:05:10,320 --> 00:05:12,839 Speaker 1: didn't do anything about it. If we had a controller 100 00:05:12,880 --> 00:05:16,840 Speaker 1: at the time who actually cared about being accountable to taxpayers, 101 00:05:16,880 --> 00:05:18,600 Speaker 1: what would have happened is the controller would have been 102 00:05:18,600 --> 00:05:20,720 Speaker 1: all over the legislature and the governor to say, hey, 103 00:05:21,000 --> 00:05:23,960 Speaker 1: here's how you can fix this program to avoid this challenge. Okay, 104 00:05:23,960 --> 00:05:26,839 Speaker 1: so fast forward ten years. You have a pandemic. The 105 00:05:26,920 --> 00:05:30,000 Speaker 1: money is going out the door. You don't have anybody 106 00:05:30,080 --> 00:05:33,479 Speaker 1: asking the question, why is the money going to? Even 107 00:05:33,520 --> 00:05:37,240 Speaker 1: people who aren't eligible. We knew during the pandemic. The 108 00:05:37,240 --> 00:05:41,560 Speaker 1: governor and his administration knew that they were sending money 109 00:05:41,680 --> 00:05:45,280 Speaker 1: basically to anybody who applied for it, whether the person 110 00:05:45,320 --> 00:05:47,920 Speaker 1: was eligible or not. My thing is, hey, guys, why 111 00:05:47,920 --> 00:05:50,720 Speaker 1: don't you put in place like a trigger that says, 112 00:05:50,800 --> 00:05:53,520 Speaker 1: if the person's applying from San Quentin, don't set them 113 00:05:53,520 --> 00:05:56,359 Speaker 1: the benefits. You know, it doesn't make any sense to me. 114 00:05:56,520 --> 00:05:58,960 Speaker 1: So what could a controller have done? The answer is 115 00:05:58,960 --> 00:06:01,800 Speaker 1: a lot. The controller could have been actively trying to 116 00:06:01,800 --> 00:06:04,080 Speaker 1: figure out what's going on. Who are you sending the 117 00:06:04,120 --> 00:06:05,800 Speaker 1: money to? Is the money is supposed to go there? 118 00:06:06,120 --> 00:06:07,800 Speaker 1: And for heaven's sake, if the money is going to 119 00:06:07,800 --> 00:06:10,119 Speaker 1: someone's not supposed to go to, stop sending the money. 120 00:06:10,560 --> 00:06:13,840 Speaker 1: She's a very simple process. You could have made a 121 00:06:13,920 --> 00:06:16,479 Speaker 1: ruckuss about it in real time as it was happening, 122 00:06:16,520 --> 00:06:19,120 Speaker 1: not just doing audit two years later and say, wow, 123 00:06:19,120 --> 00:06:21,400 Speaker 1: look at all that money we wasted, Because sometimes I 124 00:06:21,480 --> 00:06:24,280 Speaker 1: see it seems like that's what controllers and other similar 125 00:06:24,279 --> 00:06:27,640 Speaker 1: officials do after the money is all gone. They look 126 00:06:27,680 --> 00:06:30,040 Speaker 1: back and say, Wow, that was bad, wasn't it. And 127 00:06:30,120 --> 00:06:32,920 Speaker 1: I'm wondering, well, who can say something in the moment 128 00:06:33,920 --> 00:06:37,440 Speaker 1: and blow the whistle. Well, it's it's it's about do 129 00:06:37,520 --> 00:06:41,240 Speaker 1: you want to be an aggressive watchdog for taxpayers because 130 00:06:41,480 --> 00:06:43,840 Speaker 1: the reality is you can have access to that flow 131 00:06:43,880 --> 00:06:46,600 Speaker 1: of funds to see what's going on, and you can 132 00:06:46,640 --> 00:06:49,080 Speaker 1: sound the alarm. Now you can't solve it in real 133 00:06:49,120 --> 00:06:52,520 Speaker 1: time necessarily, but you can definitely say, hey, there's something 134 00:06:52,600 --> 00:06:55,040 Speaker 1: strange going on here. Someone needs to needs to pull 135 00:06:55,040 --> 00:06:57,280 Speaker 1: the lever to make sure that this money is going 136 00:06:57,320 --> 00:06:59,080 Speaker 1: to where it's supposed to be, you know, during the 137 00:06:59,480 --> 00:07:01,800 Speaker 1: pandemic as the money's going out. And by the way, 138 00:07:01,839 --> 00:07:04,960 Speaker 1: this fraud happened over the period of a Holy year, 139 00:07:05,440 --> 00:07:07,760 Speaker 1: and you heard stories about people showing up with these 140 00:07:07,800 --> 00:07:10,960 Speaker 1: debit cards on Rodeo Drive at Louis Vuitton to buy 141 00:07:11,000 --> 00:07:12,800 Speaker 1: these persons. It's like, well, this is a little fishy 142 00:07:13,240 --> 00:07:16,760 Speaker 1: what's happening here? And you just need somebody who's going 143 00:07:16,800 --> 00:07:19,320 Speaker 1: to be more aggressive as opposed to just a yes 144 00:07:19,400 --> 00:07:22,240 Speaker 1: man or a yes woman. So I think about it 145 00:07:22,280 --> 00:07:25,920 Speaker 1: like this. The controller needs to be a watchdog, not 146 00:07:25,960 --> 00:07:29,200 Speaker 1: a lapdog. And for too long we've had controllers that 147 00:07:29,200 --> 00:07:31,880 Speaker 1: are just lapdogs. They just sit there and yeah, maybe 148 00:07:31,920 --> 00:07:34,600 Speaker 1: after the fact they write a report, but even that's 149 00:07:34,640 --> 00:07:37,280 Speaker 1: asking a lot of some of these controllers. So yes, 150 00:07:37,400 --> 00:07:40,000 Speaker 1: it's got to be real time. And then even after 151 00:07:40,040 --> 00:07:41,720 Speaker 1: the fact, you got to look back and say, Okay, 152 00:07:41,720 --> 00:07:43,640 Speaker 1: what can we do to make sure this doesn't happen again? 153 00:07:43,720 --> 00:07:49,320 Speaker 1: Would you have any purview over the high speed rail FIASCA? Oh? Yeah, yeah, 154 00:07:49,320 --> 00:07:51,640 Speaker 1: So high speed rail is an area of state spending 155 00:07:51,800 --> 00:07:54,680 Speaker 1: that went from thirty billion dollars to over well over 156 00:07:54,720 --> 00:07:58,160 Speaker 1: one hundred billion dollars. And that's one area where we 157 00:07:58,200 --> 00:08:00,160 Speaker 1: need to look at two things. Number one is where 158 00:08:00,200 --> 00:08:03,040 Speaker 1: the money's actually gone. But number two is we keep 159 00:08:03,120 --> 00:08:06,640 Speaker 1: hearing stories about some of the contractors that are getting paid. 160 00:08:07,040 --> 00:08:10,800 Speaker 1: They're participating in a process called no bid contracting, which 161 00:08:10,880 --> 00:08:13,800 Speaker 1: essentially Governor Newsom has said, hey, because we're still in 162 00:08:13,800 --> 00:08:16,440 Speaker 1: a state of emergency, quote unquote, we're going to use 163 00:08:16,520 --> 00:08:20,440 Speaker 1: this power to basically give money to whatever contractor we 164 00:08:20,480 --> 00:08:23,000 Speaker 1: want to give money to without having a fair bidding process. 165 00:08:23,400 --> 00:08:26,560 Speaker 1: And that's one thing where the controller can in real 166 00:08:26,600 --> 00:08:29,520 Speaker 1: time say, hey, you want to have this no big 167 00:08:29,560 --> 00:08:31,800 Speaker 1: contracting process. The laws as you're supposed to have a 168 00:08:31,840 --> 00:08:34,640 Speaker 1: competitive fitting process, We're not going to pay this contract 169 00:08:35,040 --> 00:08:39,440 Speaker 1: because it's it's premised on an illegal or an unlawful premise. 170 00:08:40,040 --> 00:08:42,600 Speaker 1: And so you know, again, how do you get more 171 00:08:42,600 --> 00:08:45,960 Speaker 1: aggressive in real time? And particularly with the challenges you've 172 00:08:46,000 --> 00:08:48,240 Speaker 1: mentioned high speed rail is a big one, but there's 173 00:08:48,240 --> 00:08:49,960 Speaker 1: a whole bunch of other ones as well. Well, yeah, 174 00:08:50,040 --> 00:08:55,559 Speaker 1: what about homeless spending. Well that's one where you're talking 175 00:08:55,559 --> 00:08:58,840 Speaker 1: about twenty billion dollars over the last three years, you 176 00:08:58,920 --> 00:09:02,480 Speaker 1: had in time no sense of where the money is going. 177 00:09:02,520 --> 00:09:03,760 Speaker 1: I think the first thing we need to do with 178 00:09:03,800 --> 00:09:07,840 Speaker 1: the homelessness situation is give people a clear accounting of 179 00:09:08,000 --> 00:09:11,040 Speaker 1: right now, where are the funds for these programs, what 180 00:09:11,160 --> 00:09:15,000 Speaker 1: programs are being funded, who's being funded, how much, Give 181 00:09:15,080 --> 00:09:18,439 Speaker 1: people information so that people can look into it and say, 182 00:09:18,480 --> 00:09:22,840 Speaker 1: all right, this particular program, this particular nonprofit that's getting money, 183 00:09:23,080 --> 00:09:25,720 Speaker 1: what are they actually doing with it? So to me, 184 00:09:25,920 --> 00:09:28,920 Speaker 1: the challenge with the homelessness crisis right now is the 185 00:09:29,000 --> 00:09:32,040 Speaker 1: lack of transparency into the flow of funds, where it's 186 00:09:32,080 --> 00:09:35,680 Speaker 1: going in real time, figuring out what's happening, and then yeah, 187 00:09:35,679 --> 00:09:37,839 Speaker 1: I think there's a backward looking component as well, something 188 00:09:37,840 --> 00:09:40,400 Speaker 1: that I know a lot of people call programmatic auditing, 189 00:09:40,800 --> 00:09:43,040 Speaker 1: which basically means instead of just going back and seeing 190 00:09:43,040 --> 00:09:45,880 Speaker 1: where the money went, you're actually looking back and going 191 00:09:45,920 --> 00:09:49,120 Speaker 1: and saying, hey, how effective was that spending? Like, wouldn't 192 00:09:49,120 --> 00:09:50,680 Speaker 1: it be great, guys if we could have a letter 193 00:09:50,720 --> 00:09:53,800 Speaker 1: grade that just said, here's a program, here's how much 194 00:09:53,840 --> 00:09:56,520 Speaker 1: we've spent on it, here's what you promised the program 195 00:09:56,559 --> 00:09:59,439 Speaker 1: would do. How's it actually performed against that benchmark? And 196 00:09:59,480 --> 00:10:01,760 Speaker 1: then just give it a but a great ABCD so 197 00:10:01,800 --> 00:10:04,360 Speaker 1: people can figure out, hey, what's actually happening. Well, just 198 00:10:04,440 --> 00:10:06,160 Speaker 1: you know, using my own eyes, I could see a 199 00:10:06,200 --> 00:10:08,360 Speaker 1: lot of these homeless programs are not working because we 200 00:10:08,480 --> 00:10:10,080 Speaker 1: end up with more and more people on the streets. 201 00:10:10,840 --> 00:10:14,400 Speaker 1: But maybe some of the programs are working, But who 202 00:10:14,440 --> 00:10:17,800 Speaker 1: knows which ones. I mean, somebody's got to come up 203 00:10:17,840 --> 00:10:21,280 Speaker 1: with a better way. But maybe it's one out of 204 00:10:21,280 --> 00:10:23,680 Speaker 1: ten or one out of four. I don't know, there's 205 00:10:23,720 --> 00:10:28,280 Speaker 1: no information to judge. Right, Well, that's a big problem. 206 00:10:28,360 --> 00:10:30,640 Speaker 1: And so yeah, I talk to people about it who say, well, 207 00:10:30,760 --> 00:10:32,679 Speaker 1: I want to solve the homelessness problem. It's like, yeah, 208 00:10:32,720 --> 00:10:35,440 Speaker 1: I get that. That's really important. And so how about 209 00:10:35,440 --> 00:10:37,319 Speaker 1: we spend money on programs that actually work. I know 210 00:10:37,360 --> 00:10:39,720 Speaker 1: it's a novel concept in California, but how about we 211 00:10:39,760 --> 00:10:42,960 Speaker 1: spend money on stuff that actually works? And so you 212 00:10:42,960 --> 00:10:45,200 Speaker 1: guys mentioned the La Times endorsement. You know the reason 213 00:10:45,280 --> 00:10:47,400 Speaker 1: the La Times endorse me is they said, first of all, 214 00:10:47,800 --> 00:10:49,760 Speaker 1: we need someone who's going to tell us what's working 215 00:10:49,800 --> 00:10:52,040 Speaker 1: and what's not so we can actually fund priorities in 216 00:10:52,080 --> 00:10:54,840 Speaker 1: a reasonable and thoughtful way. But second of all, the 217 00:10:54,920 --> 00:10:57,400 Speaker 1: only way you're going to do that is with a 218 00:10:57,440 --> 00:11:00,160 Speaker 1: controller who is from a party that is different than 219 00:11:00,160 --> 00:11:03,160 Speaker 1: the party in charge. They actually embrace that notion because 220 00:11:03,160 --> 00:11:04,960 Speaker 1: that's the only way you're going to have true independence 221 00:11:05,000 --> 00:11:07,760 Speaker 1: and somebody actually asking the questions, could you also have 222 00:11:07,800 --> 00:11:10,040 Speaker 1: an effect on all the money that's spent on public 223 00:11:10,080 --> 00:11:16,240 Speaker 1: school districts that are horrendous? Yeah, so k through twelve districts. 224 00:11:16,679 --> 00:11:20,160 Speaker 1: Any money they spend that comes from the FEDS or 225 00:11:20,200 --> 00:11:22,720 Speaker 1: that comes from the state, you can audit as controller. 226 00:11:23,080 --> 00:11:26,000 Speaker 1: But here's an interesting thing. About something school districts are 227 00:11:26,040 --> 00:11:28,839 Speaker 1: not doing. Now, you know, seventy six percent of school 228 00:11:28,880 --> 00:11:32,640 Speaker 1: districts are not telling the Controller's office they're supposed to 229 00:11:32,920 --> 00:11:34,520 Speaker 1: at this point in time, they're supposed to tell the 230 00:11:34,520 --> 00:11:38,199 Speaker 1: controller's office how much they spend on pay and benefits 231 00:11:38,200 --> 00:11:42,079 Speaker 1: for administrative staff. Seventy six percent of districts are not 232 00:11:42,280 --> 00:11:46,360 Speaker 1: telling the controller what they're spending. And that's a very 233 00:11:46,400 --> 00:11:48,480 Speaker 1: basic place to start. It's like, hey, how about you 234 00:11:48,520 --> 00:11:51,880 Speaker 1: tell us how much in pay and benefits you're dolling 235 00:11:51,920 --> 00:11:54,800 Speaker 1: out to administrative officials. And then beyond that, we all 236 00:11:54,840 --> 00:11:57,800 Speaker 1: know during the pandemic, tens of billions of dollars have 237 00:11:57,880 --> 00:12:01,640 Speaker 1: come in from the Feds to help public education in California. 238 00:12:01,720 --> 00:12:03,679 Speaker 1: Where's that money actually gone? They kept saying, We're going 239 00:12:03,720 --> 00:12:06,600 Speaker 1: to use it to improve facilities and pay teachers more 240 00:12:06,640 --> 00:12:09,679 Speaker 1: and get new equipment. Has that actually happened? We got 241 00:12:09,679 --> 00:12:12,120 Speaker 1: to figure that out, and so the controller can absolutely 242 00:12:12,160 --> 00:12:14,280 Speaker 1: be in the middle of determining the flow of funds 243 00:12:14,720 --> 00:12:17,000 Speaker 1: to figure out where that money's actually gone, what are 244 00:12:17,040 --> 00:12:19,000 Speaker 1: we spending it on. I mean, these are questions people 245 00:12:19,000 --> 00:12:21,240 Speaker 1: to their answers to where can people go to find 246 00:12:21,240 --> 00:12:25,439 Speaker 1: out more about your campaign. Go to Chen for California 247 00:12:25,960 --> 00:12:29,559 Speaker 1: che n f O R California dot com and check 248 00:12:29,600 --> 00:12:31,400 Speaker 1: it out. We've got lots of ideas on there, lots 249 00:12:31,400 --> 00:12:33,120 Speaker 1: of plans, and a little bit more about me and 250 00:12:33,120 --> 00:12:35,160 Speaker 1: what we're trying to do. All right, Land he thanks 251 00:12:35,160 --> 00:12:38,320 Speaker 1: for coming on. Thanks thanks for having me. Guys appreciate it. 252 00:12:39,720 --> 00:12:42,160 Speaker 1: Candidate for a state controller on your budget, on your 253 00:12:42,200 --> 00:12:45,080 Speaker 1: ballot or Republican. We got more coming out, John and 254 00:12:45,120 --> 00:12:47,600 Speaker 1: Ken Schell and Demark live in the twenty four hour 255 00:12:47,679 --> 00:12:50,640 Speaker 1: CALFINEUS Room. US Drought Monitors is nearly sixty percent of 256 00:12:50,679 --> 00:12:54,360 Speaker 1: California is in extreme drought. That includes San Bernardino, Riverside, 257 00:12:54,360 --> 00:12:57,559 Speaker 1: and Current counties. A panel from the World Health Organization 258 00:12:57,600 --> 00:13:00,559 Speaker 1: says the world's not really prepared for a pintep pandemic 259 00:13:00,679 --> 00:13:04,000 Speaker 1: despite COVID nineteen and the CDC is giving the green 260 00:13:04,080 --> 00:13:06,920 Speaker 1: light for the fiser cover booster shop for kids five 261 00:13:07,000 --> 00:13:09,840 Speaker 1: to eleven. We'll go to the fifty five and we 262 00:13:09,920 --> 00:13:13,640 Speaker 1: will check in with the koll Fi in the sky next. 263 00:13:14,720 --> 00:13:17,439 Speaker 1: You got bad knees, I mean just like really bad 264 00:13:17,480 --> 00:13:19,760 Speaker 1: knees where you're hobbling around and a lot of pain 265 00:13:20,559 --> 00:13:22,840 Speaker 1: and you need a knee replacement, and you're afraid of 266 00:13:22,880 --> 00:13:27,720 Speaker 1: the traditional way because long recovery time. Hyperflex knee. Look 267 00:13:27,720 --> 00:13:31,360 Speaker 1: at this, not the old way. It's a high performance 268 00:13:31,400 --> 00:13:35,400 Speaker 1: procedure using cutting edge VR surgical technology. You'll like this. 269 00:13:35,559 --> 00:13:40,480 Speaker 1: You get hyper precision hyper results. Most patients, this will 270 00:13:40,520 --> 00:13:44,400 Speaker 1: be you are walking within thirty minutes after surgery, thirty 271 00:13:44,400 --> 00:13:48,839 Speaker 1: minutes and going home the same day. Really call eight 272 00:13:48,840 --> 00:13:50,920 Speaker 1: four four Hyperflex. They're gonna explain all of this with 273 00:13:51,000 --> 00:13:55,000 Speaker 1: a private consultation. It's covered by most health insurances, including 274 00:13:55,040 --> 00:14:00,280 Speaker 1: Medicare eight four four Hyperflex eight four four Hyperflex or 275 00:14:00,360 --> 00:14:04,200 Speaker 1: go to hyperflex dot com. We have a car fire 276 00:14:04,400 --> 00:14:08,360 Speaker 1: on the fifty five in Orange, this one along the 277 00:14:08,440 --> 00:14:12,240 Speaker 1: southbound side and it's coming right up on Chapman. The 278 00:14:12,240 --> 00:14:15,000 Speaker 1: three right lanes are off limits to lays. Are pretty 279 00:14:15,080 --> 00:14:18,080 Speaker 1: jammed up right now and getting away from actually the 280 00:14:18,200 --> 00:14:20,960 Speaker 1: ninety one freeway, so it's a huge mess. Also slowing 281 00:14:20,960 --> 00:14:22,840 Speaker 1: on the northbound side of the fifty five out of 282 00:14:22,920 --> 00:14:26,000 Speaker 1: Coasta Mesa from about Baker on the brakes all the 283 00:14:26,000 --> 00:14:28,880 Speaker 1: way back to the ninety one. We've got Mike O'Brien 284 00:14:29,000 --> 00:14:32,080 Speaker 1: k f I in the sky. Yes, just over Cerritos 285 00:14:32,120 --> 00:14:34,920 Speaker 1: and still troubles for the ninety one ninety one westbound 286 00:14:34,920 --> 00:14:37,960 Speaker 1: approaching to six ozh five still on the two left lanes, 287 00:14:38,040 --> 00:14:40,680 Speaker 1: so that only leaves the fast track and the one 288 00:14:41,080 --> 00:14:44,360 Speaker 1: right lane available, so they're barely squeezing through here. Bopper 289 00:14:44,440 --> 00:14:46,480 Speaker 1: to bupper back through the five. I want to pick 290 00:14:46,520 --> 00:14:49,640 Speaker 1: up warring Storpe is a good alternate there. Now there's another, 291 00:14:49,680 --> 00:14:53,160 Speaker 1: probably recorded in the Fullerton area. South fifty seven in 292 00:14:53,280 --> 00:14:56,280 Speaker 1: Orange Storp. Looks like they're reporting a mama duck and 293 00:14:56,400 --> 00:14:59,080 Speaker 1: four ducklings walking around, so we'll watch out, and it 294 00:14:59,120 --> 00:15:01,000 Speaker 1: looks like they are stop but from traffic to try 295 00:15:01,040 --> 00:15:03,120 Speaker 1: to get those guys out of there. That is buffer 296 00:15:03,160 --> 00:15:06,280 Speaker 1: to buffer back through cal State Fullerton. Michael Brian k 297 00:15:06,440 --> 00:15:09,560 Speaker 1: if I in the sky. In Corona, the fifteenth southbound 298 00:15:09,600 --> 00:15:12,960 Speaker 1: sewing down from Magnolia Avenue to Wyrick Road. K f 299 00:15:13,120 --> 00:15:15,400 Speaker 1: I in the sky, help sketch you there faster. I'm 300 00:15:15,520 --> 00:15:18,640 Speaker 1: Ngel Martinez. 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Go to get Refunds dot Com, 360 00:18:32,400 --> 00:18:35,280 Speaker 1: click on the qualify me button, answer a few questions. 361 00:18:35,440 --> 00:18:39,879 Speaker 1: They do the rest. Get Refunds dot Com. Get refunds 362 00:18:40,119 --> 00:18:57,440 Speaker 1: dot com are more stimulating. Talk all right, Ton of 363 00:18:57,520 --> 00:19:00,280 Speaker 1: Kent Show CAMF I am six forty. We are five 364 00:19:01,040 --> 00:19:04,280 Speaker 1: everywhere on the iHeart Radio app. Coming up after five thirty. 365 00:19:04,880 --> 00:19:07,880 Speaker 1: We'll take a look at how things change big time 366 00:19:07,880 --> 00:19:10,320 Speaker 1: in just two years. People were taking a knee, screaming 367 00:19:10,359 --> 00:19:12,560 Speaker 1: defund the police after the death of George Floyd and 368 00:19:12,680 --> 00:19:15,960 Speaker 1: many of that year taking a knee. Take it a knee. 369 00:19:16,440 --> 00:19:19,639 Speaker 1: Now they just passed a budget with an increase in 370 00:19:19,720 --> 00:19:22,639 Speaker 1: money for the Los Angeles Police Department. Garcetti pushing it 371 00:19:22,760 --> 00:19:25,719 Speaker 1: big time nonsense. I will tell you more about that 372 00:19:25,760 --> 00:19:31,560 Speaker 1: after thirty. We told you yesterday that the effort to 373 00:19:31,600 --> 00:19:36,800 Speaker 1: recall Los Angeles County District Attorney George Gascone has passed 374 00:19:36,840 --> 00:19:41,240 Speaker 1: the four hundred and fifty thousand dollars signature level. They 375 00:19:41,320 --> 00:19:44,200 Speaker 1: need to get to about five hundred and seventy thousand, 376 00:19:44,200 --> 00:19:46,399 Speaker 1: but they'll lead a margin of vera. I was reading 377 00:19:46,440 --> 00:19:50,040 Speaker 1: an opinion column today by a guy that specializes john 378 00:19:50,080 --> 00:19:54,280 Speaker 1: and analyzing recalls, and he says the normal bad signature 379 00:19:54,320 --> 00:19:56,520 Speaker 1: rate is somewhere in the twenty to thirty percent range. 380 00:19:57,040 --> 00:19:59,720 Speaker 1: That's what most of them come out to be, including 381 00:19:59,720 --> 00:20:04,120 Speaker 1: the recall against Gray Davis, the recall against Newsom. So 382 00:20:04,200 --> 00:20:05,879 Speaker 1: you can see what kind of margin they're going to 383 00:20:05,960 --> 00:20:09,800 Speaker 1: need if we can expect somewhere between twenty twenty five percent. Yeah, Well, 384 00:20:09,800 --> 00:20:13,200 Speaker 1: the signatures collected will not be considered valid. Well funded 385 00:20:13,240 --> 00:20:17,920 Speaker 1: campaigns will get an auditing firm to pre that the signatures, 386 00:20:17,920 --> 00:20:20,960 Speaker 1: and you might have a better You might have a 387 00:20:21,000 --> 00:20:23,400 Speaker 1: better I think that's what they did with the Newsom recall. Yeah, 388 00:20:23,440 --> 00:20:26,000 Speaker 1: I think they did. I don't think they did as 389 00:20:26,080 --> 00:20:28,159 Speaker 1: much with the Bonnen recall as you know that. No, 390 00:20:28,400 --> 00:20:31,680 Speaker 1: well that that was a shoestring budget. Yeah, but I 391 00:20:32,240 --> 00:20:35,680 Speaker 1: think this is really well funded. If they got six 392 00:20:35,760 --> 00:20:37,679 Speaker 1: million dollars, it just seems like a lot of money 393 00:20:37,880 --> 00:20:42,480 Speaker 1: to recall gascon Good news from a pole out of 394 00:20:42,480 --> 00:20:47,040 Speaker 1: San Francisco. This San Francisco Chamber of Commerce has released 395 00:20:47,040 --> 00:20:51,600 Speaker 1: a poll that found sixty seven percent of Zity City 396 00:20:51,680 --> 00:20:55,200 Speaker 1: voters will vote to recall the San Francisco DA Chase 397 00:20:55,359 --> 00:20:58,760 Speaker 1: Chess A vote sixty seven. That would be earth shattering 398 00:20:58,760 --> 00:21:01,400 Speaker 1: if that happens, because you don't expect I mean, they 399 00:21:01,400 --> 00:21:04,760 Speaker 1: recalled a couple of school board members twelve months ago, 400 00:21:04,840 --> 00:21:08,080 Speaker 1: but this would be a harbinger of what can happen here, 401 00:21:08,280 --> 00:21:10,359 Speaker 1: and that's why we're watching this. Yeah, and you know 402 00:21:10,520 --> 00:21:13,359 Speaker 1: the same type of person. You know why because because 403 00:21:13,600 --> 00:21:16,760 Speaker 1: what CHESSI, Bodin and guests Gowner doing is not what 404 00:21:16,840 --> 00:21:22,560 Speaker 1: most people want, including the normal people, including Democrats liberal Democrats. 405 00:21:22,720 --> 00:21:26,000 Speaker 1: Most people don't want to live this way. I've been 406 00:21:26,040 --> 00:21:29,280 Speaker 1: maintaining this since the beginning of these controversies that these 407 00:21:29,320 --> 00:21:34,440 Speaker 1: guys snuck in and talked in bland platitudes and nobody 408 00:21:34,480 --> 00:21:40,280 Speaker 1: had any idea what they really meant to do. I mean, 409 00:21:40,320 --> 00:21:43,360 Speaker 1: the things they've done are so extreme. They didn't campaign 410 00:21:43,840 --> 00:21:46,399 Speaker 1: broadly on this stuff. They came in because of the 411 00:21:46,440 --> 00:21:49,040 Speaker 1: George Floyd death and this whole idea of to fund 412 00:21:49,040 --> 00:21:51,119 Speaker 1: the police, and they're like, well, now is my moment 413 00:21:51,320 --> 00:21:55,359 Speaker 1: to stop incarcerating people, to change the whole criminal justice system, 414 00:21:55,560 --> 00:21:58,480 Speaker 1: And idiot voters did not read this, right, Dan. I 415 00:21:58,680 --> 00:22:02,480 Speaker 1: think that to some extent, those voters who thought that 416 00:22:02,520 --> 00:22:07,400 Speaker 1: these left wing progressive philosophies were a good idea saw 417 00:22:07,440 --> 00:22:10,920 Speaker 1: them in practice over the last few years and realized, 418 00:22:11,040 --> 00:22:13,720 Speaker 1: oh I was wrong. No, I don't want this, this 419 00:22:13,760 --> 00:22:15,720 Speaker 1: is not what I met, This is not what I 420 00:22:15,760 --> 00:22:18,120 Speaker 1: thought was going to happen because we're looking at looking 421 00:22:18,160 --> 00:22:22,840 Speaker 1: in this story that in this poll, seventy five percent 422 00:22:22,880 --> 00:22:25,560 Speaker 1: of city voters, at least seventy five percent of city 423 00:22:25,640 --> 00:22:29,920 Speaker 1: voters want to enforce existing laws that prohibit open air 424 00:22:30,040 --> 00:22:33,880 Speaker 1: drug dealing, which means they don't want the Tenderloin district. 425 00:22:34,200 --> 00:22:36,480 Speaker 1: They want more cops on the street than the high 426 00:22:36,560 --> 00:22:38,879 Speaker 1: crime areas. They want more police officers on the street 427 00:22:38,880 --> 00:22:43,760 Speaker 1: and busy areas. They want to expand conservatorship aha court 428 00:22:43,840 --> 00:22:47,560 Speaker 1: ordered treatment for those who were too mentally whacked out. 429 00:22:48,480 --> 00:22:52,640 Speaker 1: Seventy five percent of San Francisco City voters. Yeah, and 430 00:22:52,680 --> 00:22:55,800 Speaker 1: they would be ninety five percent here. Well, yeah, it 431 00:22:55,840 --> 00:22:59,640 Speaker 1: probably is because this is common sense. I don't think 432 00:22:59,680 --> 00:23:02,480 Speaker 1: this is a hard sell to say you want more 433 00:23:02,480 --> 00:23:05,920 Speaker 1: police when crime is raging out of control. I don't, 434 00:23:05,960 --> 00:23:08,520 Speaker 1: I don't, I don't think. I don't think it's it's 435 00:23:08,560 --> 00:23:11,360 Speaker 1: a hard sell for people saying, hey, no open air 436 00:23:11,840 --> 00:23:16,560 Speaker 1: drug dealing and drug taking. Who. I don't know anybody 437 00:23:17,080 --> 00:23:21,880 Speaker 1: whoever would want anything like this. Everybody I know who 438 00:23:23,440 --> 00:23:27,560 Speaker 1: is liberal in their politics, they enjoyed living in nice, clean, 439 00:23:27,680 --> 00:23:30,640 Speaker 1: safe areas. I don't know anybody who wants to live 440 00:23:30,640 --> 00:23:34,399 Speaker 1: in a tenderloin district or a skid row district or 441 00:23:34,440 --> 00:23:38,119 Speaker 1: next to the encampments. Most people don't. So this is 442 00:23:38,160 --> 00:23:41,480 Speaker 1: what was really head scratching about it all is somehow 443 00:23:41,760 --> 00:23:46,320 Speaker 1: these whack job progressives got into office and created this, 444 00:23:45,880 --> 00:23:49,440 Speaker 1: this dystopia, this hell, all that none of us want. 445 00:23:51,440 --> 00:23:54,960 Speaker 1: All Right, when we come back speaking to the police, 446 00:23:55,440 --> 00:23:58,840 Speaker 1: what do you know, Lela City Council, with the exception 447 00:23:58,880 --> 00:24:02,720 Speaker 1: of one council member, voted on a large new budget 448 00:24:02,720 --> 00:24:07,000 Speaker 1: which actually increases money to the police department. Right Johnny 449 00:24:07,080 --> 00:24:10,480 Speaker 1: Ken Show and Debor Mark lad twenty four our Cafe newsroom. 450 00:24:10,480 --> 00:24:13,320 Speaker 1: The man accused of rushing comedian Dave Chappelle if the 451 00:24:13,359 --> 00:24:15,920 Speaker 1: Hollywood Bowl has pleaded not guilty to a charge of 452 00:24:15,960 --> 00:24:20,480 Speaker 1: attempted murder for a stabbing in December, isaially this particular program, 453 00:24:20,680 --> 00:24:24,000 Speaker 1: this particular nonprofit that's getting money, what are they actually 454 00:24:24,040 --> 00:24:26,879 Speaker 1: doing with it? So to me, the challenge with the 455 00:24:26,920 --> 00:24:30,639 Speaker 1: homelessness crisis right now is the lack of transparency into 456 00:24:30,640 --> 00:24:33,320 Speaker 1: the flow of funds, where it's going in real time, 457 00:24:33,480 --> 00:24:36,120 Speaker 1: figuring out what's happening. And then yeah, I think there's 458 00:24:36,119 --> 00:24:38,440 Speaker 1: a backward looking component as well. Something that. I know 459 00:24:38,760 --> 00:24:41,760 Speaker 1: a lot of people call programmatic auditing, which basically means 460 00:24:41,760 --> 00:24:44,000 Speaker 1: instead of just going back and seeing where the money went, 461 00:24:44,400 --> 00:24:47,040 Speaker 1: you're actually looking back and going and saying, hey, how 462 00:24:47,080 --> 00:24:49,760 Speaker 1: effective was that spending? Like, wouldn't it be great, guys 463 00:24:49,800 --> 00:24:52,040 Speaker 1: if we could have a letter grade that just said, 464 00:24:52,080 --> 00:24:54,679 Speaker 1: here's a program, here's how much we've spent on it, 465 00:24:54,920 --> 00:24:57,600 Speaker 1: here's what you promised the program would do. How's it 466 00:24:57,640 --> 00:25:00,000 Speaker 1: actually performed against that benchmark, and then just give it 467 00:25:00,080 --> 00:25:03,280 Speaker 1: letter grade ABCD so people can figure out, hey, what's 468 00:25:03,320 --> 00:25:05,680 Speaker 1: actually happening. Well, just you know, using my own eyes, 469 00:25:05,720 --> 00:25:07,520 Speaker 1: I could see a lot of these homeless programs are 470 00:25:07,560 --> 00:25:09,320 Speaker 1: not working because we end up with more and more 471 00:25:09,320 --> 00:25:12,600 Speaker 1: people on the streets. But maybe some of the programs 472 00:25:12,640 --> 00:25:16,879 Speaker 1: are working, but who knows which ones. I mean, somebody's 473 00:25:16,920 --> 00:25:20,600 Speaker 1: got to come up with a better way. But maybe 474 00:25:20,640 --> 00:25:22,480 Speaker 1: it's one out of ten or one out of four. 475 00:25:22,600 --> 00:25:27,560 Speaker 1: I don't know, there's no information to judge. Right, Well, 476 00:25:27,560 --> 00:25:29,480 Speaker 1: that's a big problem, and so yeah, I talk to 477 00:25:29,480 --> 00:25:31,480 Speaker 1: people about it who say, well, I want to solve 478 00:25:31,480 --> 00:25:33,560 Speaker 1: the homelessness problem. It's like, yeah, I get that, that's 479 00:25:33,560 --> 00:25:36,240 Speaker 1: really important, and so how about we spend money on 480 00:25:36,240 --> 00:25:38,359 Speaker 1: programs that actually work. I know it's a novel concept 481 00:25:38,400 --> 00:25:41,040 Speaker 1: in California, but how about we spend money on stuff 482 00:25:41,040 --> 00:25:43,920 Speaker 1: that actually works? And so you guys mentioned the La 483 00:25:44,000 --> 00:25:46,280 Speaker 1: Times endorsement. You know the reason the La Times endorse 484 00:25:46,359 --> 00:25:48,560 Speaker 1: me is they said, first of all, we need someone 485 00:25:48,560 --> 00:25:50,280 Speaker 1: who's going to tell us what's working and what's not 486 00:25:50,359 --> 00:25:52,840 Speaker 1: so we can actually fund priorities in a reasonable and 487 00:25:52,880 --> 00:25:55,720 Speaker 1: thoughtful way. But second of all, the only way you're 488 00:25:55,760 --> 00:25:58,399 Speaker 1: going to do that is with a controller who is 489 00:25:58,440 --> 00:26:00,760 Speaker 1: from a party that is different and the party in 490 00:26:00,840 --> 00:26:03,600 Speaker 1: charge they actually embrace that notion because that's the only 491 00:26:03,640 --> 00:26:05,800 Speaker 1: way you're going to have true independence and somebody actually 492 00:26:05,800 --> 00:26:08,399 Speaker 1: asking the questions, could you also have an effect on 493 00:26:08,440 --> 00:26:11,200 Speaker 1: all the money that's spent on public school districts that 494 00:26:11,280 --> 00:26:17,720 Speaker 1: are horrendous? Yeah, so k through twelve districts. Any money 495 00:26:17,760 --> 00:26:20,680 Speaker 1: they spend that comes from the Feds or that comes 496 00:26:20,720 --> 00:26:23,760 Speaker 1: from the state, you can audit as controller. But here's 497 00:26:23,760 --> 00:26:26,800 Speaker 1: an interesting thing about something school districts are not doing. Now. 498 00:26:26,880 --> 00:26:30,480 Speaker 1: You know, seventy six percent of school districts are not 499 00:26:30,680 --> 00:26:33,600 Speaker 1: telling the Controller's office they're supposed to at this point 500 00:26:33,600 --> 00:26:36,000 Speaker 1: in time. They're supposed to tell the controller's office how 501 00:26:36,080 --> 00:26:39,520 Speaker 1: much they spend on pay and benefits for administrative staff. 502 00:26:40,000 --> 00:26:43,919 Speaker 1: Seventy six percent of districts are not telling the controller 503 00:26:44,560 --> 00:26:47,520 Speaker 1: what they're spending, and that's a very basic place to start. 504 00:26:47,600 --> 00:26:50,080 Speaker 1: It's like, hey, how about you tell us how much 505 00:26:50,119 --> 00:26:53,560 Speaker 1: in pay and benefits you're dolling out to administrative officials. 506 00:26:53,560 --> 00:26:55,880 Speaker 1: And then beyond that, we all know during the pandemic, 507 00:26:56,359 --> 00:26:58,639 Speaker 1: tens of billions of dollars have come in from the 508 00:26:58,680 --> 00:27:02,400 Speaker 1: Feds to help public education in California. Where's that money 509 00:27:02,440 --> 00:27:04,119 Speaker 1: actually gone? They kept saying, We're going to use it 510 00:27:04,119 --> 00:27:07,760 Speaker 1: to improve facilities and pay teachers more and get new equipment. 511 00:27:08,040 --> 00:27:10,440 Speaker 1: Has that actually happened? We got to figure that out, 512 00:27:10,440 --> 00:27:12,879 Speaker 1: and so the controller can absolutely be in the middle 513 00:27:12,880 --> 00:27:15,800 Speaker 1: of determining the flow of funds to figure out where 514 00:27:15,800 --> 00:27:17,879 Speaker 1: that money's actually gone, what are we spending it on. 515 00:27:17,920 --> 00:27:19,840 Speaker 1: I mean, these are questions people to their answers to 516 00:27:20,200 --> 00:27:22,480 Speaker 1: Where can people go to find out more about your campaign? 517 00:27:24,040 --> 00:27:27,399 Speaker 1: Go to chen for California che n f O R 518 00:27:27,560 --> 00:27:30,400 Speaker 1: California dot com and check it out. We've got lots 519 00:27:30,400 --> 00:27:32,520 Speaker 1: of ideas on there, lots of plans and a little 520 00:27:32,520 --> 00:27:33,840 Speaker 1: bit more about me and what we're trying to do. 521 00:27:34,240 --> 00:27:37,360 Speaker 1: All right, Land, He thanks for coming on, Thanks thanks 522 00:27:37,359 --> 00:27:40,440 Speaker 1: for having me. Guys appreciate it. A candidate for a 523 00:27:40,560 --> 00:27:43,280 Speaker 1: state controller on your budget, on your ballot or Republican. 524 00:27:43,760 --> 00:27:46,200 Speaker 1: We got more coming out, John and Ken Schell, and 525 00:27:46,440 --> 00:27:49,400 Speaker 1: we'll take a look at how things change big time 526 00:27:49,400 --> 00:27:51,840 Speaker 1: in just two years. People were taking a knee, screaming 527 00:27:51,920 --> 00:27:54,119 Speaker 1: defund the police after the death of George Floyd in 528 00:27:54,200 --> 00:27:57,200 Speaker 1: May of that year, taking a knee, take it a knee. 529 00:27:58,000 --> 00:28:01,200 Speaker 1: Now they just passed to budget with an increase in 530 00:28:01,240 --> 00:28:04,159 Speaker 1: money for the Los Angeles Police Department. Garcetti pushing it 531 00:28:04,280 --> 00:28:07,240 Speaker 1: big time nonsense. I will tell you more about that 532 00:28:07,280 --> 00:28:13,080 Speaker 1: after thirty. We told you yesterday that the effort to 533 00:28:13,160 --> 00:28:18,320 Speaker 1: recall Los Angeles County District Attorney George Gascone has passed 534 00:28:18,359 --> 00:28:22,800 Speaker 1: the four hundred and fifty thousand dollars signature level. They 535 00:28:22,840 --> 00:28:25,720 Speaker 1: need to get to about five hundred and seventy thousand, 536 00:28:25,760 --> 00:28:27,960 Speaker 1: but they'll need a margin of vera. I was reading 537 00:28:27,960 --> 00:28:31,600 Speaker 1: an opinion column today by a guy that specializes john 538 00:28:31,600 --> 00:28:35,840 Speaker 1: and analyzing recalls, and he says the normal bad signature 539 00:28:35,880 --> 00:28:38,040 Speaker 1: rate is somewhere in the twenty to thirty percent range. 540 00:28:38,560 --> 00:28:41,280 Speaker 1: That's what most of them come out to be, including 541 00:28:41,280 --> 00:28:45,680 Speaker 1: the recall against Gray Davis, the recall against Newsom. So 542 00:28:45,720 --> 00:28:47,640 Speaker 1: you can see what kind of margin they're going to need. 543 00:28:47,680 --> 00:28:51,320 Speaker 1: If we can expect somewhere between twenty twenty five percent. Yeah, well, 544 00:28:51,320 --> 00:28:54,720 Speaker 1: the signatures collected will not be considered valid. Well funded 545 00:28:54,760 --> 00:28:59,440 Speaker 1: campaigns will get an auditing firm to pre that the signatures, 546 00:28:59,440 --> 00:29:02,840 Speaker 1: and you might have a better might have been. I 547 00:29:02,840 --> 00:29:04,920 Speaker 1: think that's what they did with the Newsom recall. Yeah, 548 00:29:04,960 --> 00:29:07,560 Speaker 1: I think they did. I don't think they did as 549 00:29:07,640 --> 00:29:09,680 Speaker 1: much with the Bonnen recall as you know that. No, 550 00:29:09,920 --> 00:29:13,240 Speaker 1: well that was a shoestring budget. Yeah, yeah, but I 551 00:29:13,760 --> 00:29:17,040 Speaker 1: think this is really well funded. And if they got 552 00:29:17,040 --> 00:29:18,920 Speaker 1: six million dollars, it just seems like a lot of 553 00:29:18,920 --> 00:29:23,920 Speaker 1: money to recall gascon. Good news from a pole out 554 00:29:23,920 --> 00:29:28,080 Speaker 1: of San Francisco. The San Francisco Chamber of Commerce has 555 00:29:28,160 --> 00:29:32,840 Speaker 1: released a poll that found sixty seven percent of Zity 556 00:29:32,880 --> 00:29:36,360 Speaker 1: city voters will vote to recall the San Francisco DA 557 00:29:36,520 --> 00:29:40,280 Speaker 1: Chase CHESSI botin sixty seven. I would be earth shattering 558 00:29:40,320 --> 00:29:42,920 Speaker 1: if that happens, because you don't expect I mean, they 559 00:29:42,920 --> 00:29:46,280 Speaker 1: recalled a couple of school board members twelve months ago. 560 00:29:46,400 --> 00:29:49,640 Speaker 1: But this would be a harbinger of what can happen here. 561 00:29:49,800 --> 00:29:52,000 Speaker 1: And that's why we're watching this. Yeah, and you know't 562 00:29:52,040 --> 00:29:54,840 Speaker 1: the same type of person. You know why because because 563 00:29:55,120 --> 00:29:58,640 Speaker 1: what Chessa Botin and Gasconner doing is not what most 564 00:29:58,680 --> 00:30:04,120 Speaker 1: people want, including the normal people, including Democrats, liberal Democrats. 565 00:30:04,240 --> 00:30:07,520 Speaker 1: Most people don't want to live this way. I've been 566 00:30:07,560 --> 00:30:10,800 Speaker 1: maintaining this since the beginning of these controversies, that these 567 00:30:10,840 --> 00:30:15,960 Speaker 1: guys snuck in and talked in bland platitudes and nobody 568 00:30:16,000 --> 00:30:21,840 Speaker 1: had any idea what they really meant to do. I mean, 569 00:30:21,880 --> 00:30:24,960 Speaker 1: the things they've done are so extreme. They didn't campaign 570 00:30:25,360 --> 00:30:27,920 Speaker 1: broadly on this stuff. They came in because of the 571 00:30:28,000 --> 00:30:30,560 Speaker 1: George Floyd death and this whole idea of to fund 572 00:30:30,560 --> 00:30:32,960 Speaker 1: the police. They're like, well, now is my moment to 573 00:30:33,080 --> 00:30:36,880 Speaker 1: stop incarcerating people, to change the whole criminal justice system. 574 00:30:37,080 --> 00:30:40,000 Speaker 1: And idiot voters did not read this, right, Dan. I 575 00:30:40,200 --> 00:30:44,000 Speaker 1: think that to some extent, those voters who thought that 576 00:30:44,040 --> 00:30:48,960 Speaker 1: these left wing progressive philosophies were a good idea saw 577 00:30:49,000 --> 00:30:52,440 Speaker 1: them in practice over the last few years and realized, 578 00:30:52,600 --> 00:30:55,240 Speaker 1: oh I was wrong. No, I don't want this. This 579 00:30:55,320 --> 00:30:57,240 Speaker 1: is not what I met. This is not what I 580 00:30:57,280 --> 00:30:59,640 Speaker 1: thought was going to happen. Because we're a look at 581 00:30:59,680 --> 00:31:04,360 Speaker 1: in this story that in this poll, seventy five percent 582 00:31:04,400 --> 00:31:07,080 Speaker 1: of city voters, at least seventy five percent of city 583 00:31:07,160 --> 00:31:11,440 Speaker 1: voters want to enforce existing laws that prohibit open air 584 00:31:11,560 --> 00:31:15,400 Speaker 1: drug dealing, which means they don't want the Tenderloin district. 585 00:31:15,720 --> 00:31:18,040 Speaker 1: They want more cops on the streets and the high 586 00:31:18,080 --> 00:31:20,400 Speaker 1: crime areas. They want more police officers on the street 587 00:31:20,440 --> 00:31:25,280 Speaker 1: and busy areas. They want to expand conservatorship aha court 588 00:31:25,400 --> 00:31:29,080 Speaker 1: ordered treatment for those who are too mentally whacked out. 589 00:31:30,000 --> 00:31:34,160 Speaker 1: Seventy five percent of San Francisco City voters, Yeah, and 590 00:31:34,200 --> 00:31:37,360 Speaker 1: they want would be nine percent here. Well, yeah, it 591 00:31:37,400 --> 00:31:41,200 Speaker 1: probably is because this is common sense. I don't think 592 00:31:41,240 --> 00:31:44,000 Speaker 1: this is a hard sell to say you want more 593 00:31:44,040 --> 00:31:47,440 Speaker 1: police when crime is raging out of control. I don't. 594 00:31:47,480 --> 00:31:50,040 Speaker 1: I don't, I don't think. I don't think it's it's 595 00:31:50,080 --> 00:31:52,880 Speaker 1: a hard sell for people saying, hey, no open air 596 00:31:53,360 --> 00:31:58,120 Speaker 1: drug dealing and drug taking. Who I don't know anybody 597 00:31:58,640 --> 00:32:03,720 Speaker 1: whoever would want anything like this. Everybody I know who 598 00:32:04,960 --> 00:32:09,080 Speaker 1: is liberal in their politics, they enjoyed living in nice clean, 599 00:32:09,200 --> 00:32:12,160 Speaker 1: safe areas. I don't know anybody who wants to live 600 00:32:12,200 --> 00:32:15,920 Speaker 1: in a tenderloin district or a skid row district or 601 00:32:15,960 --> 00:32:19,640 Speaker 1: next to the encampments. Most people don't. So this is 602 00:32:19,680 --> 00:32:23,040 Speaker 1: what was really head scratching about it all is somehow 603 00:32:23,320 --> 00:32:27,120 Speaker 1: these whack job progressives got into office and created this, 604 00:32:27,440 --> 00:32:31,000 Speaker 1: this dystopia, this hell, all that none of us want. 605 00:32:32,960 --> 00:32:36,480 Speaker 1: All Right, when we come back, speaking of the police, 606 00:32:37,000 --> 00:32:40,360 Speaker 1: what do you know, Lela City Council, with the exception 607 00:32:40,440 --> 00:32:44,240 Speaker 1: of one council member, voted on a large new budget 608 00:32:44,280 --> 00:32:48,520 Speaker 1: which actually increases money to the police department. Right, John 609 00:32:48,520 --> 00:32:51,120 Speaker 1: and Ken show. There's a documentary that's gonna be on 610 00:32:51,200 --> 00:32:56,280 Speaker 1: Fox eleven next Wednesday titled Los Angeles City of Homeless 611 00:32:56,880 --> 00:33:00,440 Speaker 1: and I'm in it. It's an hour and a half 612 00:33:00,480 --> 00:33:02,960 Speaker 1: from six to seven thirty. You're homeless behind there on 613 00:33:02,960 --> 00:33:08,040 Speaker 1: the bunter. They caught me laying face down one night Wednesday, 614 00:33:07,960 --> 00:33:09,880 Speaker 1: May twenty five, from six to seven thirty. I guess 615 00:33:09,880 --> 00:33:13,400 Speaker 1: my little clips are sprinkled throughout. It's also going to 616 00:33:13,440 --> 00:33:16,840 Speaker 1: stream on YouTube to be Foxoul Foxla dot Com, but 617 00:33:16,960 --> 00:33:20,400 Speaker 1: it'll be on the main Fox eleven channel Wednesday, twenty fifth, 618 00:33:20,440 --> 00:33:22,000 Speaker 1: six to seven thirty. If you go to the John 619 00:33:22,000 --> 00:33:24,920 Speaker 1: and Kenn Instagram page, and I think also on Facebook, 620 00:33:24,960 --> 00:33:28,000 Speaker 1: there's a ninety second trailer clip you could watch to 621 00:33:28,120 --> 00:33:30,840 Speaker 1: get the ideas going to be a very powerful documentary 622 00:33:30,960 --> 00:33:34,240 Speaker 1: from what I've seen. Date of California budgets about three 623 00:33:34,280 --> 00:33:37,360 Speaker 1: hundred billion dollars. The City of Los Angeles budget which 624 00:33:37,360 --> 00:33:41,880 Speaker 1: just got approved, his nearly twelve billion. Here's the thing, 625 00:33:42,600 --> 00:33:46,720 Speaker 1: they put eighty seven million dollars of more money for LAPD. 626 00:33:47,640 --> 00:33:50,440 Speaker 1: Who to have known who to thunk when two years 627 00:33:50,440 --> 00:33:52,880 Speaker 1: ago all we were here and is to fund the police. 628 00:33:52,920 --> 00:33:55,680 Speaker 1: The police are killers, didn't go SETI say that, Yeah, 629 00:33:55,680 --> 00:33:58,520 Speaker 1: he called them killers. We had the George Floyd incident, 630 00:33:58,800 --> 00:34:02,880 Speaker 1: the murder by the way though a second year of 631 00:34:02,920 --> 00:34:08,880 Speaker 1: historic spending them over a billion dollars on homelessness. But 632 00:34:09,000 --> 00:34:13,920 Speaker 1: you notice just down the toilet, how it's presented. It's historic, 633 00:34:14,320 --> 00:34:17,359 Speaker 1: which means, because that's the trick, we should approve. See, 634 00:34:17,360 --> 00:34:19,800 Speaker 1: we're spending money, therefore we're fixing the problem. No, we 635 00:34:19,840 --> 00:34:25,000 Speaker 1: should be happy. Well, there isn't anything that explains where 636 00:34:25,000 --> 00:34:30,239 Speaker 1: the last billion went, the last history making a spending debacle, 637 00:34:31,120 --> 00:34:38,719 Speaker 1: What was the outcome? What got better. It didn't. Well, 638 00:34:38,719 --> 00:34:41,279 Speaker 1: back to the police. It's an eight and a half 639 00:34:41,320 --> 00:34:46,160 Speaker 1: percent increase to the LAPD operating budget because these dopey 640 00:34:46,239 --> 00:34:49,440 Speaker 1: politicians are aware that crime is on the minds of people. 641 00:34:50,280 --> 00:34:53,880 Speaker 1: It's horrific out there, and we got probably seventeen gangs 642 00:34:54,360 --> 00:34:57,560 Speaker 1: engaging in these street robberies. We've got a DA who 643 00:34:57,600 --> 00:35:01,160 Speaker 1: doesn't care it, doesn't like bail, doesn't like to charge 644 00:35:01,160 --> 00:35:05,359 Speaker 1: people with enhancements. This is what we're stuck with. So 645 00:35:05,600 --> 00:35:09,440 Speaker 1: this budget passed with the exception of one council member 646 00:35:09,800 --> 00:35:13,800 Speaker 1: who voted no. Well, let's look around and guess. Oh, 647 00:35:13,840 --> 00:35:16,680 Speaker 1: Mike Bonnen, Yeah, that's where the stink is coming from. 648 00:35:16,719 --> 00:35:19,680 Speaker 1: And his main objection was to LAPD getting more money. 649 00:35:20,040 --> 00:35:24,280 Speaker 1: Didn't like that. He is He is weird and sick, 650 00:35:24,400 --> 00:35:29,399 Speaker 1: isn't he the least he's going away. Minority men are 651 00:35:29,480 --> 00:35:34,960 Speaker 1: getting killed by the dozens and dozens, and Bonnen does 652 00:35:35,000 --> 00:35:39,319 Speaker 1: not want to fund the only, the only agency that 653 00:35:39,360 --> 00:35:43,479 Speaker 1: could slow this down. Why is that? Does he want 654 00:35:43,480 --> 00:35:46,680 Speaker 1: them dead? Does he want the shootings and the killings 655 00:35:46,680 --> 00:35:50,000 Speaker 1: to continue? If you don't use the police, who are 656 00:35:50,000 --> 00:35:53,840 Speaker 1: you going to use? He wants therapeutic fans did you 657 00:35:53,880 --> 00:35:57,160 Speaker 1: read this quote. How do we grow so that our 658 00:35:57,200 --> 00:36:00,560 Speaker 1: summer youth programs jobs program is fifty and instead of 659 00:36:00,560 --> 00:36:03,080 Speaker 1: a thousand kids? How do we do our gang reduction 660 00:36:03,080 --> 00:36:05,560 Speaker 1: and youth development program? Get it everywhere in the city, 661 00:36:05,640 --> 00:36:08,160 Speaker 1: or have the therapeutic vans everywhere instead of in five 662 00:36:08,239 --> 00:36:10,799 Speaker 1: or six? But I guess vans drive around with therapists. 663 00:36:10,840 --> 00:36:13,279 Speaker 1: I don't know. I have not seen what that is. 664 00:36:13,280 --> 00:36:18,080 Speaker 1: But he's referring to therapeutic vans. Now again, nobody sits 665 00:36:18,120 --> 00:36:22,120 Speaker 1: down and says, explain to me how this works. Where 666 00:36:22,160 --> 00:36:26,640 Speaker 1: has it worked? What city has? Van drives out? The 667 00:36:26,640 --> 00:36:28,960 Speaker 1: therapists jump out, They talk to you, They fix it. 668 00:36:29,040 --> 00:36:31,600 Speaker 1: You don't commit crime when you have simple John. You're 669 00:36:31,600 --> 00:36:32,840 Speaker 1: not getting here. What do you have a bunch of 670 00:36:32,880 --> 00:36:36,200 Speaker 1: young guys with a lot of testosterone and weapons on them, 671 00:36:36,360 --> 00:36:40,640 Speaker 1: and they're fighting over turf or drugs or you know 672 00:36:40,680 --> 00:36:45,520 Speaker 1: whatever stuff they've stolen or try and of fence. They 673 00:36:45,560 --> 00:36:48,200 Speaker 1: start shooting at each other. What's the therapist in a 674 00:36:48,280 --> 00:36:50,800 Speaker 1: van going to do? Just explain to me how it works. 675 00:36:51,160 --> 00:36:55,800 Speaker 1: All right? Therapist shows up, jumps out of the vans. 676 00:36:55,880 --> 00:36:57,960 Speaker 1: They jump out of the van. Bullets are flying over. 677 00:36:58,000 --> 00:36:59,879 Speaker 1: They start talking to the gang member. Let's go back 678 00:36:59,840 --> 00:37:01,439 Speaker 1: to your child. The next thing you know, their watch 679 00:37:01,480 --> 00:37:04,239 Speaker 1: is stolen. They're concked over the head. I think that's 680 00:37:04,280 --> 00:37:08,880 Speaker 1: what would happen, Like everyone else, sitt your phone, give 681 00:37:08,920 --> 00:37:12,480 Speaker 1: me a watch, get out of cartoon. Oh oh you're 682 00:37:12,520 --> 00:37:14,920 Speaker 1: a city therapist. What a crappy watch? Would you get 683 00:37:14,960 --> 00:37:22,759 Speaker 1: that Walmart? Uh? Meanwhile, uh, look at Garcetti actually wants 684 00:37:22,840 --> 00:37:27,319 Speaker 1: to get LAPD staffing. Uh. He wants to get it 685 00:37:27,400 --> 00:37:29,880 Speaker 1: up to nine thousand and seven and thirty five. I 686 00:37:29,920 --> 00:37:32,040 Speaker 1: remember the magic number. I don't know why there's always 687 00:37:32,040 --> 00:37:33,960 Speaker 1: been ten thousand. Have you heard that as ten thousand 688 00:37:33,960 --> 00:37:37,279 Speaker 1: police officers? Because it's a big round number. I guess 689 00:37:37,280 --> 00:37:39,840 Speaker 1: it's just remember Eve when Tony Vlaar was may or, 690 00:37:39,880 --> 00:37:42,320 Speaker 1: they would always talk about that Carusal wants eleven thousand. 691 00:37:44,040 --> 00:37:45,320 Speaker 1: I don't know what this. I don't know what the 692 00:37:45,360 --> 00:37:50,560 Speaker 1: optimum number is per person in LA We are are 693 00:37:50,640 --> 00:37:53,120 Speaker 1: per square mile in La too. We actually are on 694 00:37:53,160 --> 00:37:56,719 Speaker 1: the low side among big cities. We don't want a 695 00:37:56,719 --> 00:38:00,960 Speaker 1: lot of police officers, right. We also have a square Also, 696 00:38:01,160 --> 00:38:06,200 Speaker 1: it's lopsided because much of the crime is in a 697 00:38:06,280 --> 00:38:11,799 Speaker 1: smaller geographical area. Up until recent years and now it's 698 00:38:12,000 --> 00:38:14,239 Speaker 1: spreading all over the place. But it used to be 699 00:38:14,280 --> 00:38:17,239 Speaker 1: we didn't need much of a police presence in a 700 00:38:17,280 --> 00:38:20,600 Speaker 1: good chunk of the city, and now we do, so 701 00:38:21,080 --> 00:38:25,040 Speaker 1: you know, I think we should dramatically increase the police presence. 702 00:38:25,160 --> 00:38:28,640 Speaker 1: And another thing is is the demonizing has to end 703 00:38:29,480 --> 00:38:32,840 Speaker 1: and the restrictions on them have to end because they're 704 00:38:32,880 --> 00:38:38,279 Speaker 1: having trouble finding candidates to apply. Because who wants to 705 00:38:38,280 --> 00:38:41,920 Speaker 1: be hung out to dry by Mike Bonden when you 706 00:38:42,040 --> 00:38:45,360 Speaker 1: try to execute a dangerous arrest and you have to 707 00:38:45,400 --> 00:38:52,440 Speaker 1: shoot and then you're turned into some monster. Yeah, I mean, 708 00:38:52,480 --> 00:38:54,200 Speaker 1: if that's the way you're going to be treated, then 709 00:38:54,560 --> 00:38:56,640 Speaker 1: who wants that job? And a lot of a lot 710 00:38:56,680 --> 00:39:00,880 Speaker 1: of people don't anymore? All right? When we come back 711 00:39:01,800 --> 00:39:06,080 Speaker 1: speaking to the other side of this, new tax documents 712 00:39:06,080 --> 00:39:09,840 Speaker 1: have come out about the Black Lives Matter Global Foundation 713 00:39:10,000 --> 00:39:14,960 Speaker 1: and they're fundraising ninety million dollars. The co founder, Patrese 714 00:39:15,080 --> 00:39:18,280 Speaker 1: Colors went on MSNBC and admitted that was white guilt 715 00:39:18,320 --> 00:39:23,040 Speaker 1: money George Floyd's death. They ain't got a windfall or 716 00:39:23,120 --> 00:39:25,399 Speaker 1: we'll play some of her comments. Because people are still 717 00:39:25,440 --> 00:39:28,360 Speaker 1: scrutinizing the real estate deals that were done with some 718 00:39:28,400 --> 00:39:30,640 Speaker 1: of that money John and Ken show Cafe. I had 719 00:39:30,680 --> 00:39:32,759 Speaker 1: to figure this would happen. Who's been in the news 720 00:39:32,800 --> 00:39:35,680 Speaker 1: allot the last couple of weeks saying things about Biden, 721 00:39:36,080 --> 00:39:39,000 Speaker 1: saying now now he's probably going to vote Republican, saying 722 00:39:39,000 --> 00:39:42,520 Speaker 1: how messed up to things? It's Elon Musk. Yeah, he's 723 00:39:42,560 --> 00:39:46,040 Speaker 1: in the headlines tonight. It's alleged he paid a space 724 00:39:46,360 --> 00:39:49,960 Speaker 1: X flight attendant two hundred and fifty thousand dollars to 725 00:39:50,080 --> 00:39:55,240 Speaker 1: settle a claim that he propositioned her for sex, exposed himself, 726 00:39:55,280 --> 00:39:58,320 Speaker 1: and oddly offered to buy her a horse in exchange 727 00:39:58,320 --> 00:40:03,040 Speaker 1: for a massage. Allegedly, she was paid off to leave 728 00:40:03,080 --> 00:40:05,879 Speaker 1: the company and never tell the story. This is a 729 00:40:05,920 --> 00:40:11,919 Speaker 1: friend who's submitting the papers, friend of the flight attendant. Yes, 730 00:40:12,880 --> 00:40:16,160 Speaker 1: because I guess the flight attendant got confidentiality. This is 731 00:40:16,160 --> 00:40:19,200 Speaker 1: a twenty sixteen allegation offered to buy her a horse. 732 00:40:20,200 --> 00:40:26,279 Speaker 1: That's an odd detail. Maybe he's horse he wanted a 733 00:40:26,320 --> 00:40:32,399 Speaker 1: little more at a massage. Yeah, and he said I'll 734 00:40:32,400 --> 00:40:35,439 Speaker 1: give you a horse if you give me a little Yes, 735 00:40:35,680 --> 00:40:38,400 Speaker 1: a little tug. She says. She reported the incident and 736 00:40:38,400 --> 00:40:40,160 Speaker 1: then they paid her two hundred and fifty grand as 737 00:40:40,200 --> 00:40:42,640 Speaker 1: part of a severance agreement. All right, here's your response. 738 00:40:42,800 --> 00:40:45,000 Speaker 1: Is you think that if I did this that in 739 00:40:45,040 --> 00:40:47,000 Speaker 1: the last thirty years, stuff like this would come out. 740 00:40:47,040 --> 00:40:49,320 Speaker 1: That was kind of part of his response. She worked 741 00:40:49,440 --> 00:40:53,840 Speaker 1: as a member of the cabin crew for SpaceX's corporate 742 00:40:53,960 --> 00:40:58,080 Speaker 1: jet fleet. She accused Musk of exposing his erect member 743 00:40:58,120 --> 00:41:01,640 Speaker 1: to her, rubbing her leg with without consent, and offered 744 00:41:01,640 --> 00:41:04,080 Speaker 1: to buy our horse in exchange for an erotic massage. 745 00:41:05,280 --> 00:41:08,560 Speaker 1: The flight attendant allegedly did admit she does ride horses, 746 00:41:08,600 --> 00:41:11,480 Speaker 1: so that was part of the conversation. Makes the horse 747 00:41:11,520 --> 00:41:13,600 Speaker 1: thing a little more and she doesn't ride musks, though, 748 00:41:15,360 --> 00:41:19,000 Speaker 1: you wonder he was yea, well, you know, yeah he 749 00:41:19,040 --> 00:41:22,120 Speaker 1: whipped it out. It wasn't ever apparently at a moment, 750 00:41:23,080 --> 00:41:26,920 Speaker 1: it's just like I can't get over the horse. Oh. 751 00:41:26,960 --> 00:41:31,160 Speaker 1: It says um um that that Musk asked her to 752 00:41:31,200 --> 00:41:33,080 Speaker 1: come to his room during the flight. I guess he 753 00:41:33,120 --> 00:41:36,080 Speaker 1: has a private room on this corporate jet and wanted 754 00:41:36,080 --> 00:41:39,280 Speaker 1: a full Budnye body massage, and she found him completely 755 00:41:39,360 --> 00:41:42,000 Speaker 1: naked except for a sheet covering the lower half of 756 00:41:42,000 --> 00:41:44,520 Speaker 1: his body. I see, he probably had a little tent 757 00:41:44,560 --> 00:41:46,839 Speaker 1: pole going there. He says, it's a hit job. They're 758 00:41:46,880 --> 00:41:51,600 Speaker 1: coming after me. Did it not happen or I don't know, 759 00:41:53,280 --> 00:41:57,399 Speaker 1: I wasn't there. Oh, these powerful men we turned out 760 00:41:57,440 --> 00:42:01,120 Speaker 1: to black lives out of the co founder Patrisells went 761 00:42:01,160 --> 00:42:05,560 Speaker 1: on MSNBC we can play with a small clip. Um, 762 00:42:06,440 --> 00:42:11,640 Speaker 1: she was talking about, well, the tax details just came 763 00:42:11,680 --> 00:42:15,240 Speaker 1: out about the Global Network Foundation. She was the former 764 00:42:15,280 --> 00:42:18,040 Speaker 1: executive director. She resigned after it came to light that 765 00:42:18,040 --> 00:42:19,839 Speaker 1: they were buying a whole bunch of houses and then 766 00:42:19,880 --> 00:42:21,920 Speaker 1: the other day it came to light that they were 767 00:42:21,960 --> 00:42:23,960 Speaker 1: handing out a lot of money to friends and relatives. 768 00:42:24,520 --> 00:42:28,719 Speaker 1: Here's what she said in the interview on MSNBC's with 769 00:42:28,760 --> 00:42:33,000 Speaker 1: the Tremaine Lee. Yes, it was a major shock. It 770 00:42:33,120 --> 00:42:36,319 Speaker 1: was also a lot of like, oh wait, I did 771 00:42:36,360 --> 00:42:41,359 Speaker 1: not see that coming. Um. You know, contrary to what 772 00:42:41,560 --> 00:42:44,440 Speaker 1: you know has been reported, much of the funding that 773 00:42:44,480 --> 00:42:47,440 Speaker 1: who came in was for individual donors. That was a 774 00:42:47,440 --> 00:42:50,120 Speaker 1: lot of white guilt money with a lot of white 775 00:42:50,120 --> 00:42:54,040 Speaker 1: folks being like, we just got to put them give 776 00:42:54,120 --> 00:43:00,399 Speaker 1: us a lot of good. Yeah. And BLM was still 777 00:43:00,400 --> 00:43:04,080 Speaker 1: figuring out what is its infrastructure? You know, So I 778 00:43:04,120 --> 00:43:06,799 Speaker 1: was really called back in to help do whatever work. 779 00:43:06,920 --> 00:43:08,919 Speaker 1: And I did a lot of that labor. And you thought, 780 00:43:09,160 --> 00:43:12,839 Speaker 1: why don't we buy some mansion left, But hey, my 781 00:43:12,880 --> 00:43:16,600 Speaker 1: boyfriend has this business being built to figure out where 782 00:43:16,680 --> 00:43:19,640 Speaker 1: we go with this. And folks who are listening should 783 00:43:19,640 --> 00:43:23,520 Speaker 1: know this. There are groups that built infrastructure for three 784 00:43:23,560 --> 00:43:28,480 Speaker 1: to five years before they become public. Say, we had 785 00:43:28,600 --> 00:43:34,120 Speaker 1: the growing. The money came in so quickly. Second, stop, stop, stops. 786 00:43:34,120 --> 00:43:36,080 Speaker 1: She's a calm woman. She uses my favorite word in 787 00:43:36,120 --> 00:43:40,080 Speaker 1: this interview. Weaponized. It's been weaponized against all. Right. Eight 788 00:43:40,160 --> 00:43:42,840 Speaker 1: hundred and forty thousand dollars went to a security company 789 00:43:42,840 --> 00:43:47,239 Speaker 1: owned by her brother. Right, that's part of the infrastructure 790 00:43:47,280 --> 00:43:49,319 Speaker 1: they were working on that. I'm sure it was the 791 00:43:49,360 --> 00:43:51,440 Speaker 1: best man for the job whenever. That was the father 792 00:43:51,520 --> 00:43:56,319 Speaker 1: of one of her children. Was paid five His name 793 00:43:56,360 --> 00:44:00,360 Speaker 1: is Damon Turner. Was paid five times the amount that 794 00:44:00,520 --> 00:44:06,560 Speaker 1: BLM paid the Trayvon Martin Foundation. No, he was paid 795 00:44:06,680 --> 00:44:11,440 Speaker 1: nine hundred and sixty nine thousand dollars for production design 796 00:44:11,480 --> 00:44:14,000 Speaker 1: and media services. What would be those production services? What 797 00:44:14,080 --> 00:44:17,000 Speaker 1: do they built? Build a studio proof I can get 798 00:44:17,000 --> 00:44:23,000 Speaker 1: out of here. Weaponized racket and everything's weaponizing, like that 799 00:44:23,080 --> 00:44:27,040 Speaker 1: word to weaponize. Yeah, ah, look who's here, ding Dong, 800 00:44:27,440 --> 00:44:31,560 Speaker 1: ding Dong. Hey. I'm a big good John and Ken fan. 801 00:44:32,120 --> 00:44:34,520 Speaker 1: You know, since you guys moved out here and started 802 00:44:34,560 --> 00:44:37,799 Speaker 1: on KFI, and I loved the opening of the show 803 00:44:37,840 --> 00:44:41,239 Speaker 1: today that I that you guys both went to the 804 00:44:41,280 --> 00:44:43,840 Speaker 1: same concert last Friday and you didn't find out until 805 00:44:43,880 --> 00:44:47,799 Speaker 1: six days later you were at the same concert. It's 806 00:44:47,880 --> 00:44:52,160 Speaker 1: so great observation. It's so classic. Right, But that's the 807 00:44:52,200 --> 00:44:55,680 Speaker 1: reason why you guys are still partners. Right. We don't 808 00:44:55,680 --> 00:44:58,440 Speaker 1: annoy each other, that's right. We keep on the area, right, 809 00:44:58,560 --> 00:45:01,239 Speaker 1: keep a little bit of distance. Right. It's been you know, 810 00:45:01,280 --> 00:45:03,239 Speaker 1: I was gonna Monday, I was gonna mention that I 811 00:45:03,280 --> 00:45:04,680 Speaker 1: was there. I just didn't think of it. And then 812 00:45:04,680 --> 00:45:06,239 Speaker 1: when he mentioned it today, I was like, holy crap, 813 00:45:06,239 --> 00:45:07,560 Speaker 1: I was here too. I was going to mention, but 814 00:45:07,600 --> 00:45:09,560 Speaker 1: I wanted to wait till Dever came back to tell 815 00:45:09,560 --> 00:45:15,000 Speaker 1: her about. Yeah, the vegan thing. I think it's great, man. 816 00:45:15,040 --> 00:45:17,279 Speaker 1: If you ever do a class we teach people to 817 00:45:17,360 --> 00:45:20,239 Speaker 1: stay and talk radio, I'd bring that up first. Don't 818 00:45:20,280 --> 00:45:22,000 Speaker 1: talk to it, don't annoy each other, and don't talk 819 00:45:22,000 --> 00:45:23,960 Speaker 1: to each other, don't wear each other out. That's right. 820 00:45:24,400 --> 00:45:28,520 Speaker 1: I on ai a lighter note. Baby formula factories reopened 821 00:45:28,520 --> 00:45:31,000 Speaker 1: by maybe next week according to the FDA. Right, that's 822 00:45:31,040 --> 00:45:34,120 Speaker 1: kind of cool. And then Rihanna, your favorite is given 823 00:45:34,120 --> 00:45:39,800 Speaker 1: birth becomes her first baby with asap rocky or a 824 00:45:40,160 --> 00:45:43,840 Speaker 1: dollar sign ap rocky. See Chris Brown sent out his 825 00:45:43,880 --> 00:45:48,359 Speaker 1: congratschre no is that right? Wow, that's kind of Peter 826 00:45:48,520 --> 00:45:52,560 Speaker 1: up or something. Yes, he did right before the Grammys allegedly, 827 00:45:52,600 --> 00:45:55,080 Speaker 1: I don't know. But and also the man remember the 828 00:45:55,080 --> 00:45:59,160 Speaker 1: man who attacked Dave Chappelle, Well, he's charged with attempted murder. Yeah, 829 00:45:59,280 --> 00:46:01,719 Speaker 1: in an unrelated did stabbing of the roommate. Good thing 830 00:46:01,719 --> 00:46:05,040 Speaker 1: he wasn't charged with a felony for attacking God. That 831 00:46:05,040 --> 00:46:09,360 Speaker 1: would have been unfair, unbelievable. Man, these guys really have 832 00:46:09,400 --> 00:46:11,279 Speaker 1: to watch it. If I if I was, if I 833 00:46:11,320 --> 00:46:13,640 Speaker 1: was doing stand up comic comedy, would I would be 834 00:46:13,719 --> 00:46:16,919 Speaker 1: Lyria working in LA Because no one's going to charge anybody, no, 835 00:46:17,680 --> 00:46:20,000 Speaker 1: not only now the ideas in every whack job's head, 836 00:46:20,360 --> 00:46:23,360 Speaker 1: there's no consequence, right exactly. And you hear it, and 837 00:46:23,480 --> 00:46:25,760 Speaker 1: Steve Gregory talking about these people on the train burning 838 00:46:25,800 --> 00:46:28,560 Speaker 1: each other, you know, throwing gas and lighting people on fire, 839 00:46:29,040 --> 00:46:31,279 Speaker 1: wild and then not being charged for that. You know 840 00:46:31,280 --> 00:46:34,560 Speaker 1: that there are being minimal minimally charged, right, no enhancements 841 00:46:34,560 --> 00:46:37,359 Speaker 1: for using fire as an attack, Like, isn't that crazy? Right? 842 00:46:39,640 --> 00:46:41,759 Speaker 1: It sounds like we're doing a comedy routine. This is 843 00:46:41,920 --> 00:46:45,799 Speaker 1: nail right, right. It sounds like we're exaggerating. It's like, no, 844 00:46:45,880 --> 00:46:48,799 Speaker 1: you could set somebody on fire on the train and 845 00:46:48,920 --> 00:46:52,759 Speaker 1: probably nothing's going to happen. It's incredible, right, yeah, all right, 846 00:46:52,880 --> 00:46:58,680 Speaker 1: so Conway is on the track. Dang all right, I 847 00:46:58,719 --> 00:47:00,960 Speaker 1: don't see if can get through the Crozier's got the 848 00:47:01,040 --> 00:47:04,799 Speaker 1: news KFI, KOST HD two Los Angeles, Orange County Live 849 00:47:04,840 --> 00:47:07,920 Speaker 1: everywhere on the iHeartRadio Boom. Hey, Ken, did you know 850 00:47:07,960 --> 00:47:10,400 Speaker 1: that gold is the only currency that's held its value 851 00:47:10,480 --> 00:47:13,400 Speaker 1: since the Dawn of money? Well? 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