1 00:00:03,600 --> 00:00:06,640 Speaker 1: On this episode of News World. This is part two 2 00:00:06,960 --> 00:00:11,200 Speaker 1: of our investigation into the amazing thirty one billion dollars 3 00:00:11,560 --> 00:00:15,880 Speaker 1: on employment fraud in the EDD department in California. As 4 00:00:15,920 --> 00:00:18,840 Speaker 1: I looked more closely at the estimated thirty one billion 5 00:00:18,880 --> 00:00:23,799 Speaker 1: dollars stolen from California's EDD system, I was told that 6 00:00:23,880 --> 00:00:28,440 Speaker 1: unlike Washington State, where the Nigerian cyber criminals took the 7 00:00:28,480 --> 00:00:31,600 Speaker 1: bulk of the money, in California it was a wide 8 00:00:31,720 --> 00:00:34,600 Speaker 1: range of different kinds of criminals who took the money. 9 00:00:35,120 --> 00:00:37,800 Speaker 1: I was shocked to learn there was a whole network 10 00:00:37,840 --> 00:00:41,800 Speaker 1: of criminals in prison, not just in California, but across 11 00:00:41,880 --> 00:00:44,800 Speaker 1: the country who stole much of the thirty one billion. 12 00:00:45,560 --> 00:00:48,440 Speaker 1: I want to turn to somebody who has been studying 13 00:00:48,479 --> 00:00:52,560 Speaker 1: this issue of EDD theft by prisoners and better understand 14 00:00:53,000 --> 00:00:56,200 Speaker 1: how a fraud or this huge proportion could have happened. 15 00:00:56,600 --> 00:00:59,279 Speaker 1: And I'm really pleased to introduce my guest who's been 16 00:00:59,680 --> 00:01:03,920 Speaker 1: one of great courageous pioneers and taking on what maybe 17 00:01:04,280 --> 00:01:07,880 Speaker 1: the largest act of theft and American history. And Marie 18 00:01:07,880 --> 00:01:15,240 Speaker 1: Schubert currently serves as the District Attorney for Sacramento County, California, 19 00:01:20,600 --> 00:01:23,720 Speaker 1: a Marie, thank you for joining me, and I want 20 00:01:23,720 --> 00:01:25,760 Speaker 1: to start by saying, how did this first come to 21 00:01:25,760 --> 00:01:28,800 Speaker 1: your attention? Well, good morning, speaker, thank you for having me. 22 00:01:28,880 --> 00:01:31,840 Speaker 1: It first came to my attention through a series of 23 00:01:32,600 --> 00:01:36,440 Speaker 1: emails from other DA's across California asking a group of US, 24 00:01:36,440 --> 00:01:39,680 Speaker 1: hey is anybody seeing fraud in the prisons? And a 25 00:01:39,760 --> 00:01:42,160 Speaker 1: district attorney up in northern California who has a few 26 00:01:42,160 --> 00:01:45,240 Speaker 1: prisons saying, hey, I'm seeing some fraud. Is anybody else 27 00:01:45,280 --> 00:01:48,320 Speaker 1: seeing this? And then an inquiry started going out, and 28 00:01:48,400 --> 00:01:50,840 Speaker 1: then we heard that another district attorney had charged some 29 00:01:51,000 --> 00:01:54,240 Speaker 1: local jail inmates with fraud. And then I started trying 30 00:01:54,280 --> 00:01:57,000 Speaker 1: to push any issue with McGregor Scott, who's our US attorney. 31 00:01:57,080 --> 00:02:02,240 Speaker 1: He represents the federal system for many counties. And that's when, really, 32 00:02:02,760 --> 00:02:06,320 Speaker 1: as I say, at the tsunami started to be recognized 33 00:02:06,360 --> 00:02:09,000 Speaker 1: of what we were about to see. Did it shock 34 00:02:09,120 --> 00:02:12,960 Speaker 1: you both the scale and the degree to which the 35 00:02:13,000 --> 00:02:17,600 Speaker 1: prisoners while in jail were being successful of stealing. I 36 00:02:17,600 --> 00:02:21,040 Speaker 1: think it was absolutely staggering when we really started to 37 00:02:21,080 --> 00:02:23,560 Speaker 1: dive into it. And then we started getting the list, 38 00:02:23,600 --> 00:02:25,320 Speaker 1: and you know, we had waited for a period of 39 00:02:25,320 --> 00:02:27,600 Speaker 1: time to get a list in return to a search 40 00:02:27,639 --> 00:02:30,160 Speaker 1: warrant that was served on the Department of Labor, and 41 00:02:30,200 --> 00:02:32,880 Speaker 1: then when we realized there was thirty five thousand claims 42 00:02:32,919 --> 00:02:36,760 Speaker 1: just for the state prison population. Once we got the list, 43 00:02:36,880 --> 00:02:39,920 Speaker 1: I spent the weekend going through that list, and I 44 00:02:39,919 --> 00:02:42,480 Speaker 1: immediately started to look to see what types of people 45 00:02:42,520 --> 00:02:46,560 Speaker 1: are we talking about here, and I focused in on, oh, 46 00:02:46,639 --> 00:02:49,160 Speaker 1: my goodness, they're better not be people on death row here, 47 00:02:49,240 --> 00:02:52,600 Speaker 1: And in fact there were people, and many of them. Obviously, 48 00:02:52,639 --> 00:02:54,919 Speaker 1: the death row population is the worst or the worst, 49 00:02:54,919 --> 00:02:57,680 Speaker 1: but then when you started to look at the data, 50 00:02:57,919 --> 00:03:02,360 Speaker 1: the magnitude was so over whelming, and really the brazenness 51 00:03:02,400 --> 00:03:07,320 Speaker 1: of it was really despicable. To see how easy it 52 00:03:07,480 --> 00:03:11,200 Speaker 1: was really shocked the conscience. I'm not sure we're ever 53 00:03:11,280 --> 00:03:13,000 Speaker 1: going to know the amount, but it's going to be 54 00:03:13,440 --> 00:03:16,840 Speaker 1: billions and billions of dollars that has been ripped off 55 00:03:17,480 --> 00:03:20,680 Speaker 1: from the state of California. Walk me through this for 56 00:03:20,680 --> 00:03:23,560 Speaker 1: a second. Now, I'm sitting there on death row and 57 00:03:24,560 --> 00:03:28,360 Speaker 1: any side I want to steal some money. How do 58 00:03:28,440 --> 00:03:30,960 Speaker 1: I do that? There's a couple of ways they do it, 59 00:03:31,040 --> 00:03:34,480 Speaker 1: but I mean, unfortunately, in our prison system, inmates get 60 00:03:34,480 --> 00:03:37,760 Speaker 1: their hands on contraband cell phones. It's a big problem. 61 00:03:37,800 --> 00:03:40,160 Speaker 1: The Corrections Department does a lot to try to stop it. 62 00:03:40,600 --> 00:03:42,640 Speaker 1: They can either use what they call a wall phone. 63 00:03:42,800 --> 00:03:45,680 Speaker 1: They have access to phones to call friends and families 64 00:03:45,680 --> 00:03:48,680 Speaker 1: from the prison. They either use that or they use 65 00:03:48,720 --> 00:03:51,640 Speaker 1: a contraband cell phone. And then what they were doing 66 00:03:51,760 --> 00:03:55,560 Speaker 1: is they give their information so it's a security number, name, 67 00:03:55,840 --> 00:03:59,600 Speaker 1: all that stuff to people on the outside, and those 68 00:03:59,640 --> 00:04:03,680 Speaker 1: people on the outside file their claims. And because this 69 00:04:03,840 --> 00:04:08,200 Speaker 1: system was so inept and poorly managed, and the fact 70 00:04:08,280 --> 00:04:10,880 Speaker 1: that people could backdate those claims, they had to just 71 00:04:10,960 --> 00:04:13,400 Speaker 1: file these claims, and they just file the claims said, 72 00:04:13,400 --> 00:04:16,920 Speaker 1: oh yeah, I was working as of March twentieth, twenty twenty. 73 00:04:17,560 --> 00:04:20,200 Speaker 1: And so then they would just have drop addresses as 74 00:04:20,200 --> 00:04:22,320 Speaker 1: we call them, so that many of them were fake 75 00:04:22,360 --> 00:04:26,719 Speaker 1: addresses po boxes. There was really no oversight into making 76 00:04:26,720 --> 00:04:32,160 Speaker 1: sure that these claims were legitimate. And so you've got hundreds, 77 00:04:32,160 --> 00:04:35,360 Speaker 1: if not thousands of claims being sent to one, as 78 00:04:35,400 --> 00:04:37,560 Speaker 1: I call them, a drop address, an address that was 79 00:04:37,640 --> 00:04:40,279 Speaker 1: just designed to be a place where they could have 80 00:04:40,320 --> 00:04:43,320 Speaker 1: all these debit cards sent. So there's lots of ways 81 00:04:43,320 --> 00:04:45,839 Speaker 1: that they're committing it. You know, they would ask their salemates, 82 00:04:45,920 --> 00:04:48,760 Speaker 1: or they'd ask their other cohorts in prison, Hey, give 83 00:04:48,760 --> 00:04:51,000 Speaker 1: me your information, we'll get some money. And then the 84 00:04:51,440 --> 00:04:54,640 Speaker 1: oftentimes the endmates were conceivably getting what we call kickback, 85 00:04:54,720 --> 00:04:58,400 Speaker 1: so money put on their books, packages sent to them 86 00:04:58,560 --> 00:05:01,719 Speaker 1: to the prisons through Amazon, lots of ways. They were 87 00:05:01,720 --> 00:05:04,320 Speaker 1: getting chunks of this money, but the large amount of 88 00:05:04,360 --> 00:05:08,080 Speaker 1: money was going to people on the outside. Were those 89 00:05:08,120 --> 00:05:11,440 Speaker 1: people just rollatives or are they part of an organized 90 00:05:11,440 --> 00:05:14,480 Speaker 1: crime system. I think there's both. Some people call them 91 00:05:14,520 --> 00:05:16,880 Speaker 1: like one offs, meaning that you know, one person says 92 00:05:16,880 --> 00:05:19,400 Speaker 1: I'm going to get lucky here until my girlfriend does 93 00:05:19,400 --> 00:05:22,520 Speaker 1: the claim for me. I think there's a significant amount 94 00:05:22,560 --> 00:05:26,280 Speaker 1: that's being organized by prison gangs. And we know this 95 00:05:26,440 --> 00:05:29,400 Speaker 1: from what's happening on the streets of California that there's 96 00:05:29,440 --> 00:05:32,240 Speaker 1: a link between all of this fraud and the massive 97 00:05:32,279 --> 00:05:36,680 Speaker 1: gun violence that's occurring in our communities across California. I mean, 98 00:05:36,680 --> 00:05:40,280 Speaker 1: you're getting a very large increase in the number of 99 00:05:40,279 --> 00:05:44,880 Speaker 1: shootings and murders, aren't you. Yeah, you know, unfortunately, really 100 00:05:44,920 --> 00:05:48,320 Speaker 1: across the country, particularly in major urban cities, there's a 101 00:05:48,360 --> 00:05:53,720 Speaker 1: significant rise in gun violence, and that's particularly true in California. 102 00:05:53,960 --> 00:05:57,400 Speaker 1: What we're seeing on the streets now is that when 103 00:05:57,440 --> 00:06:02,880 Speaker 1: people are getting arrested for violence, gun violence, drug crimes, 104 00:06:02,920 --> 00:06:06,480 Speaker 1: there also happens to be edd evidence in their possession 105 00:06:06,520 --> 00:06:10,880 Speaker 1: as well. Unfortunately, in my opinion, this fraud has funneled 106 00:06:11,040 --> 00:06:13,760 Speaker 1: the funds that they need to buy these guns and 107 00:06:13,880 --> 00:06:18,440 Speaker 1: to perpetuate crime in our communities. There are three examples 108 00:06:18,480 --> 00:06:21,480 Speaker 1: that I find amazing. One is, isn't there one place 109 00:06:21,480 --> 00:06:25,320 Speaker 1: in California the gud L seventeen hundred checks at the 110 00:06:25,400 --> 00:06:28,719 Speaker 1: same address. Yes. So the state auditor came out with 111 00:06:28,760 --> 00:06:30,560 Speaker 1: a report a couple of weeks ago that was just 112 00:06:30,680 --> 00:06:34,559 Speaker 1: blistering on how failed the system has been in terms 113 00:06:34,560 --> 00:06:36,760 Speaker 1: of detecting it. And this has been going on for 114 00:06:36,839 --> 00:06:39,559 Speaker 1: so long, and I honestly think if the DAS hadn't 115 00:06:39,640 --> 00:06:41,919 Speaker 1: kind of blown this up, we'd be sitting in the 116 00:06:41,960 --> 00:06:45,679 Speaker 1: same position today of fraud being perpetuated. But the state 117 00:06:45,720 --> 00:06:49,280 Speaker 1: auditor found that there was seventeen hundred claims that went 118 00:06:49,320 --> 00:06:53,200 Speaker 1: to one address, and it's just shocking, and it's probably 119 00:06:53,880 --> 00:06:57,039 Speaker 1: millions of dollars without any oversight that went just to 120 00:06:57,080 --> 00:06:59,640 Speaker 1: one address. And we know from the state audit that 121 00:07:00,000 --> 00:07:03,320 Speaker 1: fraud was suspected of probably half a million claims being 122 00:07:03,320 --> 00:07:07,680 Speaker 1: sent to twenty six thousand. Addresses the very fact that 123 00:07:07,839 --> 00:07:12,240 Speaker 1: the system was so incapable of self correction that will 124 00:07:12,280 --> 00:07:15,600 Speaker 1: send off seventeen hundred checks to the same address and 125 00:07:15,720 --> 00:07:19,160 Speaker 1: not noticed that that was probably not very smart. Tells 126 00:07:19,160 --> 00:07:23,800 Speaker 1: you something about how bureaucratically incompetent the system is. Yes, 127 00:07:23,920 --> 00:07:27,200 Speaker 1: I mean EDD has known for years. They actually had 128 00:07:27,240 --> 00:07:30,320 Speaker 1: a system in place to do this cross matching, and 129 00:07:30,480 --> 00:07:32,760 Speaker 1: that was through a federal grant that I think that 130 00:07:32,840 --> 00:07:35,720 Speaker 1: grant was in twenty thirteen, but then they chose to 131 00:07:35,760 --> 00:07:38,800 Speaker 1: shut it off in twenty sixteen because they didn't want 132 00:07:38,800 --> 00:07:41,760 Speaker 1: to have to pay the two million apparently, and now 133 00:07:41,800 --> 00:07:45,080 Speaker 1: we're sitting here with potentially thirty billion in loss. So 134 00:07:45,120 --> 00:07:47,200 Speaker 1: what are you saying? So the system was costing two 135 00:07:47,240 --> 00:07:51,000 Speaker 1: million a year. So in twenty thirteen, I believe it was, 136 00:07:51,400 --> 00:07:54,000 Speaker 1: EDD got a grant through a company that's now owned 137 00:07:54,000 --> 00:07:57,320 Speaker 1: by Thompson Writers, but company was called Pondera at the time, 138 00:07:57,360 --> 00:08:00,360 Speaker 1: and they got a grant to do this fraud detection work. 139 00:08:00,760 --> 00:08:03,360 Speaker 1: And then the grant ran out, which was typical, but 140 00:08:03,480 --> 00:08:07,080 Speaker 1: the EDD chose not to continue any kind of fraud 141 00:08:07,120 --> 00:08:10,720 Speaker 1: detection system at that time. So even though they knew, 142 00:08:10,960 --> 00:08:13,960 Speaker 1: I mean, they did legislative reports telling them we need 143 00:08:14,000 --> 00:08:15,560 Speaker 1: to get a cross match, we need to do this. 144 00:08:15,640 --> 00:08:17,640 Speaker 1: So in twenty eighteen they had a report to the 145 00:08:17,720 --> 00:08:20,560 Speaker 1: legislature saying, oh, yeah, we need to do a cross match. 146 00:08:20,640 --> 00:08:24,160 Speaker 1: Twenty nineteen, they had the same report. June of twenty twenty, 147 00:08:24,200 --> 00:08:27,240 Speaker 1: even after the pandemics started, they issued a report to 148 00:08:27,280 --> 00:08:30,640 Speaker 1: the legislature again saying we need to do a cross match. 149 00:08:30,720 --> 00:08:33,240 Speaker 1: And so they didn't do it. And then when it 150 00:08:33,280 --> 00:08:36,280 Speaker 1: all blew up in November, when we blew the whistle 151 00:08:36,360 --> 00:08:39,199 Speaker 1: on all of this, then they got the system in place. 152 00:08:39,280 --> 00:08:42,880 Speaker 1: Now there's still significant gaps in the system. Will say 153 00:08:42,960 --> 00:08:46,440 Speaker 1: they've made some significant improvements because of really what we've 154 00:08:46,480 --> 00:08:50,640 Speaker 1: now discovered. The other two examples were, if I remember correctly, 155 00:08:51,160 --> 00:08:56,080 Speaker 1: Diane Feinstein got an unemployment check. There was a report 156 00:08:56,160 --> 00:08:58,520 Speaker 1: to that. I think somebody was arrested by the US 157 00:08:58,559 --> 00:09:01,480 Speaker 1: Attorney's office that had filed the claim under her name. 158 00:09:01,880 --> 00:09:03,600 Speaker 1: I mean, that's the thing about it. You look at 159 00:09:03,640 --> 00:09:05,920 Speaker 1: the list, and like I mentioned at the press conference, 160 00:09:06,040 --> 00:09:07,520 Speaker 1: you know you got a claim in the name of 161 00:09:07,760 --> 00:09:10,959 Speaker 1: John Doe. You would think that was fairly obvious, wouldn't 162 00:09:10,960 --> 00:09:13,800 Speaker 1: you There was no system. It was just basically a 163 00:09:13,880 --> 00:09:17,080 Speaker 1: rubber stamping. I mean, somebody in my office made the comment, 164 00:09:17,200 --> 00:09:19,240 Speaker 1: it's almost like we just flew over the prisons and 165 00:09:19,320 --> 00:09:36,800 Speaker 1: dropped all the money, you know, the system that's stealing 166 00:09:37,000 --> 00:09:41,080 Speaker 1: literally billions and billions of dollars. And they had two 167 00:09:41,120 --> 00:09:46,440 Speaker 1: staff members who were reviewing claims manually. Well, the problem 168 00:09:46,559 --> 00:09:48,840 Speaker 1: was is they didn't have a fraud detection system like 169 00:09:48,920 --> 00:09:52,400 Speaker 1: thirty five other states did. And because they didn't have that, 170 00:09:53,120 --> 00:09:56,320 Speaker 1: they were just, like I said, rubber stamping the payment 171 00:09:56,320 --> 00:09:58,400 Speaker 1: of claims. And even if they suspected it, then they 172 00:09:58,440 --> 00:10:00,880 Speaker 1: only had two people that would then have to go 173 00:10:00,920 --> 00:10:03,360 Speaker 1: in and manually check these things. It was just a 174 00:10:03,480 --> 00:10:08,600 Speaker 1: poorly managed system. So and in that process you also had, 175 00:10:09,120 --> 00:10:12,360 Speaker 1: I understand it, people from prisons as far away as 176 00:10:12,360 --> 00:10:16,800 Speaker 1: Florida applying for California on em plumber. Yes, I mean, 177 00:10:16,840 --> 00:10:20,040 Speaker 1: when we started to realize that there were people sitting 178 00:10:20,040 --> 00:10:23,520 Speaker 1: in prison in Florida, I think for murder that they 179 00:10:23,559 --> 00:10:26,120 Speaker 1: were making claims to the California system. It's not just 180 00:10:26,240 --> 00:10:28,240 Speaker 1: bad enough that our own inmates are doing it, but 181 00:10:28,280 --> 00:10:32,439 Speaker 1: now the out of state inmates realized California is easy pickings, 182 00:10:33,080 --> 00:10:35,559 Speaker 1: and you know that gap has not yet been filled. 183 00:10:35,600 --> 00:10:37,360 Speaker 1: As far as I know, we don't have a system 184 00:10:37,400 --> 00:10:40,120 Speaker 1: that's going to say, let's make sure that the inmates 185 00:10:40,120 --> 00:10:43,240 Speaker 1: in other states are not fleecing the California taxiders as well. 186 00:10:44,000 --> 00:10:46,360 Speaker 1: The scale of this is really large. You had a 187 00:10:46,360 --> 00:10:50,520 Speaker 1: couple of comparative numbers in terms of how much bigger 188 00:10:50,559 --> 00:10:54,160 Speaker 1: this fraud is than some of the operating systems of 189 00:10:54,200 --> 00:10:57,520 Speaker 1: the California government. To say a number thirty billion, you 190 00:10:57,600 --> 00:11:00,200 Speaker 1: have to really put that into perspective, and so I 191 00:11:00,400 --> 00:11:03,400 Speaker 1: started to put into perspective. I said, Okay, let's just 192 00:11:03,440 --> 00:11:06,600 Speaker 1: compare it to our state budget. It's two times the 193 00:11:06,640 --> 00:11:09,840 Speaker 1: budget of the California Department of Corrections and Rehabilitations. Two times. 194 00:11:10,000 --> 00:11:12,000 Speaker 1: We have one hundred thousand people in prison that costs 195 00:11:12,040 --> 00:11:15,160 Speaker 1: whatever fifty thousand a year to house them. And then 196 00:11:15,240 --> 00:11:18,440 Speaker 1: you realize it's twice that. I mean, you can look 197 00:11:18,440 --> 00:11:21,560 Speaker 1: at the education budget, or you can look at transportation budget. 198 00:11:22,000 --> 00:11:25,280 Speaker 1: Sometimes I sarcastical, we say, maybe we could have fixed 199 00:11:25,280 --> 00:11:29,200 Speaker 1: the homeless problem with thirty billion dollars. I think you 200 00:11:29,280 --> 00:11:33,080 Speaker 1: said somewhere that's half of the entire K through twelve 201 00:11:33,200 --> 00:11:37,160 Speaker 1: education budget. Staggering is the best way to describe it 202 00:11:37,200 --> 00:11:40,880 Speaker 1: as staggering. We went out and check if you could 203 00:11:40,880 --> 00:11:44,760 Speaker 1: take the thirty billion, you could eliminate all taxes in 204 00:11:44,840 --> 00:11:47,640 Speaker 1: the five least expensive stage in the country that their 205 00:11:47,840 --> 00:11:52,080 Speaker 1: entire budgets collectively are less than thirty billion dollars. Yeah, 206 00:11:52,120 --> 00:11:54,360 Speaker 1: there's probably the countries in this world that don't have 207 00:11:54,480 --> 00:11:58,160 Speaker 1: budgets that high. That's right, So it's really amazing. Is 208 00:11:58,200 --> 00:12:02,760 Speaker 1: it now getting fixed? Well, there's definitely, you know, efforts 209 00:12:02,800 --> 00:12:04,520 Speaker 1: now to fix a lot of it. I mean, within 210 00:12:04,679 --> 00:12:08,119 Speaker 1: a very short period of time, EDD had the contract 211 00:12:08,160 --> 00:12:11,120 Speaker 1: now established to do the cross match With that said, 212 00:12:11,640 --> 00:12:15,400 Speaker 1: the state auditor has recognized that there's still some significant gaps. 213 00:12:15,880 --> 00:12:18,880 Speaker 1: You know, not all jails do cross matching, so that's 214 00:12:18,880 --> 00:12:20,880 Speaker 1: a big gap too. If I get arrested in a 215 00:12:20,920 --> 00:12:24,839 Speaker 1: certain counting California, I could still try to please the 216 00:12:25,000 --> 00:12:27,840 Speaker 1: citizens and the taxpayers. But I will say that I 217 00:12:27,880 --> 00:12:32,520 Speaker 1: think that there's obviously immense pressure to fix these issues, 218 00:12:32,800 --> 00:12:35,160 Speaker 1: but there's still a long way to go. The amount 219 00:12:35,160 --> 00:12:39,120 Speaker 1: of investigations and prosecutions that need to take place to 220 00:12:39,520 --> 00:12:42,640 Speaker 1: hold these people accountable is astronomical, and the amount of 221 00:12:42,679 --> 00:12:47,679 Speaker 1: money that's needed to do that is also astronomical because 222 00:12:47,720 --> 00:12:50,840 Speaker 1: we have to be able to investigate and prosecute them. Well, 223 00:12:51,160 --> 00:12:55,560 Speaker 1: there's a striking and slightly weird the given the scale 224 00:12:55,720 --> 00:13:00,760 Speaker 1: of theft from her department. The Jelish who's the head 225 00:13:00,800 --> 00:13:05,040 Speaker 1: of it, has actually been nominated by Biden for a 226 00:13:05,080 --> 00:13:08,320 Speaker 1: major job in the Department of Labor. I mean, talking 227 00:13:08,320 --> 00:13:11,760 Speaker 1: about being promoted upward through your failures. That's part of 228 00:13:11,800 --> 00:13:15,840 Speaker 1: what really surprised me is that the Biden administration both 229 00:13:15,920 --> 00:13:19,760 Speaker 1: taking Susie Levine out of Washington State, where it was 230 00:13:19,800 --> 00:13:24,960 Speaker 1: six hundred million dollars and mostly Nigerian cybercrime, and then 231 00:13:25,160 --> 00:13:28,040 Speaker 1: taking Julie Sue out of California, where there's thirty one 232 00:13:28,080 --> 00:13:31,120 Speaker 1: billion dollars. It trans me that the administration is a 233 00:13:31,120 --> 00:13:37,040 Speaker 1: little insensitive to the idea of taxpayers getting ripped off. Well, 234 00:13:37,080 --> 00:13:39,840 Speaker 1: I think, without getting into the politics of any of 235 00:13:39,880 --> 00:13:43,240 Speaker 1: these appointments, she's come out, I think, publicly and said, listen, 236 00:13:43,280 --> 00:13:46,160 Speaker 1: we can't sugarcoat the problem here. It is a massive 237 00:13:46,200 --> 00:13:49,280 Speaker 1: problem that's occurred here in California, and you know, we 238 00:13:49,400 --> 00:13:52,160 Speaker 1: have to be willing to acknowledge this if we're going 239 00:13:52,200 --> 00:13:54,240 Speaker 1: to go fix it. But it is a massive issue. 240 00:13:54,320 --> 00:13:56,720 Speaker 1: As much as some folks might want to blame the FED, 241 00:13:57,360 --> 00:14:01,360 Speaker 1: really the blame rest it's the State of California and 242 00:14:01,440 --> 00:14:04,200 Speaker 1: the EDD Department. But you cannot sugarcoat this, and you 243 00:14:04,240 --> 00:14:08,400 Speaker 1: cannot try to pivot, in my opinion, because this has 244 00:14:08,400 --> 00:14:10,640 Speaker 1: been known. It's been known for many years. They had 245 00:14:10,640 --> 00:14:12,480 Speaker 1: a system in place, and they chose to shut it 246 00:14:12,480 --> 00:14:14,720 Speaker 1: off because they didn't want to spend the money. That's 247 00:14:14,760 --> 00:14:19,560 Speaker 1: the bottom line was that system called me. Once the 248 00:14:19,600 --> 00:14:24,200 Speaker 1: pandemic hit and ED started having, you know, major issues 249 00:14:24,200 --> 00:14:28,360 Speaker 1: with backlogs and starting to see suspicious claims, Governor knewso 250 00:14:28,480 --> 00:14:32,119 Speaker 1: did this strike team seeing with some recommendations. You know, Unfortunately, 251 00:14:32,160 --> 00:14:34,120 Speaker 1: there was nobody on that strike team that is a 252 00:14:34,280 --> 00:14:38,160 Speaker 1: law enforcement that understands fraud. But one of the things 253 00:14:38,160 --> 00:14:40,840 Speaker 1: that ultimately came out of that was this implementation of 254 00:14:40,840 --> 00:14:44,440 Speaker 1: this thing called id ME. Before this program id ME 255 00:14:44,640 --> 00:14:46,400 Speaker 1: was started, you could just do a claim. You didn't 256 00:14:46,480 --> 00:14:49,680 Speaker 1: have to show proof of identification. So now when someone 257 00:14:49,760 --> 00:14:52,400 Speaker 1: files a claim, you have to at least show your 258 00:14:52,680 --> 00:14:55,360 Speaker 1: driver's license. I mean, I still think there's ways that 259 00:14:55,440 --> 00:14:58,280 Speaker 1: the crooks get around it. But it is a system 260 00:14:58,280 --> 00:15:01,240 Speaker 1: that will stop a lot of fraud. Doesn't Bank of 261 00:15:01,320 --> 00:15:04,880 Speaker 1: America play a major role in all this? Well, Bank 262 00:15:04,920 --> 00:15:07,520 Speaker 1: of America obviously has a contract with EBB and they 263 00:15:07,560 --> 00:15:10,560 Speaker 1: were the ones responsible for issuing the debit cards, and 264 00:15:10,640 --> 00:15:13,040 Speaker 1: so there's been a lot of history about freezing cards 265 00:15:13,040 --> 00:15:15,520 Speaker 1: on freezing cards, you know. The hard part is that 266 00:15:15,680 --> 00:15:17,640 Speaker 1: people need to not lose sight of the fact there 267 00:15:17,680 --> 00:15:22,080 Speaker 1: are innocent people out there that are entitled to benefits 268 00:15:22,120 --> 00:15:24,720 Speaker 1: that have lost their jobs because of the pandemic, and 269 00:15:24,800 --> 00:15:27,600 Speaker 1: they're the victims because they're not getting their funds but 270 00:15:27,640 --> 00:15:30,960 Speaker 1: they're entitled to. But then you also now have massive 271 00:15:31,000 --> 00:15:33,920 Speaker 1: amount of victims who have been the victims of identity theft, 272 00:15:34,600 --> 00:15:38,040 Speaker 1: who are now getting federal ten ninety nine forms saying 273 00:15:38,040 --> 00:15:39,960 Speaker 1: you got to pay taxes on the money you never got. 274 00:15:40,600 --> 00:15:43,760 Speaker 1: So there's a huge amount of people that have been 275 00:15:43,800 --> 00:15:46,960 Speaker 1: impacted as a result of all them. That would really 276 00:15:47,000 --> 00:15:50,800 Speaker 1: make you pretty irritated if you suddenly got a tax 277 00:15:50,880 --> 00:15:54,280 Speaker 1: bill for a check you'd never received and then found 278 00:15:54,280 --> 00:15:57,880 Speaker 1: out that actually the check had gone to a criminal. Absolutely, 279 00:15:58,080 --> 00:16:00,200 Speaker 1: I mean I'd be furious about it. And then find 280 00:16:00,200 --> 00:16:03,720 Speaker 1: out that these criminals are using that money to perpetuate 281 00:16:03,800 --> 00:16:07,000 Speaker 1: crime on the streets of California is even more of 282 00:16:07,080 --> 00:16:26,680 Speaker 1: a gut punch. To what extent of the district attorneys 283 00:16:26,680 --> 00:16:29,800 Speaker 1: who have been elected with sources help, To what extent 284 00:16:29,920 --> 00:16:32,320 Speaker 1: have they've been willing to go after this, And to 285 00:16:32,360 --> 00:16:36,240 Speaker 1: what extent do they just shrug it off. Quite frankly, 286 00:16:36,320 --> 00:16:38,160 Speaker 1: I'm not sure any of them have done anything. As 287 00:16:38,160 --> 00:16:41,360 Speaker 1: soon as we realize the magnitude of this, the dh 288 00:16:41,480 --> 00:16:44,440 Speaker 1: Association created a statewide task force on this. I'm the 289 00:16:44,520 --> 00:16:47,640 Speaker 1: chair of the task force. We've invited all elected das 290 00:16:47,680 --> 00:16:50,240 Speaker 1: to be participants to understand how it works, to how 291 00:16:50,280 --> 00:16:52,840 Speaker 1: to investigate it. I think you need to talk to 292 00:16:53,120 --> 00:16:57,040 Speaker 1: George Gascone or chess of o'dine from San Francisco and 293 00:16:57,040 --> 00:17:00,480 Speaker 1: ask them what they're doing, because I haven't seen anything yet. Listen, 294 00:17:00,520 --> 00:17:02,960 Speaker 1: We're never going to be able to prosecute all these people, 295 00:17:03,640 --> 00:17:07,400 Speaker 1: but there is a population of them that are very, 296 00:17:07,560 --> 00:17:11,320 Speaker 1: very violent criminals, that are members of gangs, that are 297 00:17:11,320 --> 00:17:16,679 Speaker 1: perpetuating guns, drugs, violence on the streets, perhaps human trafficking, 298 00:17:17,000 --> 00:17:20,359 Speaker 1: and those are the folks that every California should be 299 00:17:20,359 --> 00:17:23,399 Speaker 1: concerned about, no matter where you live, no matter your politics, 300 00:17:23,800 --> 00:17:27,720 Speaker 1: and you know, I am very confident that occurring in 301 00:17:27,800 --> 00:17:30,639 Speaker 1: Los Angeles County, it's occurring in San Francisco. We know 302 00:17:30,680 --> 00:17:34,080 Speaker 1: it's happening in every jurisdiction in our state, and we 303 00:17:34,160 --> 00:17:37,320 Speaker 1: can't just pretend like it didn't happen. I think very 304 00:17:37,320 --> 00:17:40,000 Speaker 1: few people realize how big the challenge is and how 305 00:17:40,119 --> 00:17:44,080 Speaker 1: much money is involved now. And we've been talking to 306 00:17:44,119 --> 00:17:47,640 Speaker 1: people at the Heritage Foundation of attracting this. They say 307 00:17:47,680 --> 00:17:51,840 Speaker 1: there are smaller but similar problems, and I think Maryland 308 00:17:51,880 --> 00:17:56,800 Speaker 1: and Illinois and Louisiana, so it's at least five states 309 00:17:56,800 --> 00:18:00,760 Speaker 1: to a significant amount of illegal claims and have paid 310 00:18:00,800 --> 00:18:03,760 Speaker 1: those substantial amounts of money. It all comes back to 311 00:18:03,840 --> 00:18:06,840 Speaker 1: the failure of our state to have this system in place. 312 00:18:07,119 --> 00:18:11,080 Speaker 1: We tout ourselves like California is the most technologically savvy 313 00:18:11,119 --> 00:18:13,520 Speaker 1: state in the country. We're the biggest state in the Union. 314 00:18:14,400 --> 00:18:17,240 Speaker 1: Yet thirty five other states, including very small states, have 315 00:18:17,359 --> 00:18:19,840 Speaker 1: this system in place, and we chose not to do it. 316 00:18:19,840 --> 00:18:22,879 Speaker 1: It's just a bitter pill to swallow. I gather there 317 00:18:22,880 --> 00:18:26,040 Speaker 1: are now plans to go ahead and implement a more 318 00:18:26,200 --> 00:18:30,199 Speaker 1: sophisticated system. DA's are working with the folks from the 319 00:18:30,200 --> 00:18:33,080 Speaker 1: Governors Office and Office Emergency Services to try to get 320 00:18:33,119 --> 00:18:35,960 Speaker 1: some systems in place to try, as I keep saying, 321 00:18:35,960 --> 00:18:38,840 Speaker 1: to slow the spicket down and stop the bleeding here. 322 00:18:38,880 --> 00:18:41,560 Speaker 1: So I definitely think we're on a good path. It's 323 00:18:41,600 --> 00:18:44,800 Speaker 1: not perfect yet, and there's still significant gaps. We can't 324 00:18:44,800 --> 00:18:47,000 Speaker 1: stop what happened in the past. We can only hopefully 325 00:18:47,000 --> 00:18:49,640 Speaker 1: prevent it in the future. At least. It's a serious 326 00:18:49,680 --> 00:18:56,040 Speaker 1: wake up call the need to have sophisticated systems because 327 00:18:56,040 --> 00:18:59,000 Speaker 1: you're now up against people who understand how to game 328 00:18:59,040 --> 00:19:01,320 Speaker 1: the system if there's no check on it. Yeah, it's 329 00:19:01,320 --> 00:19:03,919 Speaker 1: a very very expensive wake up call, is what it was. 330 00:19:04,119 --> 00:19:06,240 Speaker 1: I just keep saying this, it's not just about the 331 00:19:06,280 --> 00:19:08,879 Speaker 1: money that's been lost. It's the fact that we have 332 00:19:09,840 --> 00:19:17,159 Speaker 1: basically allowed taxpayer dollars to fund guns, gangs, drugs, and 333 00:19:17,359 --> 00:19:20,560 Speaker 1: whatever else type of crime on the streets of California. That's, 334 00:19:20,600 --> 00:19:24,560 Speaker 1: to me, is the most significant impact of this policing 335 00:19:24,600 --> 00:19:28,280 Speaker 1: of California money. Well, listen, thank you very much for 336 00:19:28,480 --> 00:19:31,320 Speaker 1: taking this kind of time, and I really am grateful 337 00:19:31,359 --> 00:19:33,840 Speaker 1: that you would help educate us on what's going on 338 00:19:33,960 --> 00:19:36,600 Speaker 1: in the largest state in the country, and I look 339 00:19:36,640 --> 00:19:38,320 Speaker 1: forward to seeing you sometime when I get a shift 340 00:19:38,400 --> 00:19:41,119 Speaker 1: to come to California. All right, Thank you, speaker, I 341 00:19:41,119 --> 00:19:46,280 Speaker 1: appreciate it very much. Thank you to my guest Anne 342 00:19:46,320 --> 00:19:49,680 Speaker 1: Marie Schubert. You can read more about the thirty one 343 00:19:49,840 --> 00:19:54,760 Speaker 1: billion dollars California add fraud on our show page at 344 00:19:54,840 --> 00:19:58,720 Speaker 1: newtsworld dot com. News World is produced by Ginger Sweet 345 00:19:58,840 --> 00:20:03,720 Speaker 1: sixty and Art Media. Our executive producer is Debbie Myers, 346 00:20:04,080 --> 00:20:08,600 Speaker 1: our producer is Garnsey Sloan, and our researcher is Rachel Peterson. 347 00:20:09,320 --> 00:20:12,639 Speaker 1: The artwork for the show was created by Steve Penny. 348 00:20:13,160 --> 00:20:16,440 Speaker 1: Special thanks to the team at Gingwich three sixty. If 349 00:20:16,440 --> 00:20:18,600 Speaker 1: you've been enjoying new to World, I hope you'll go 350 00:20:18,640 --> 00:20:21,960 Speaker 1: to Apple Podcasts and both rate us with five stars 351 00:20:22,359 --> 00:20:25,119 Speaker 1: and give us a review so others can learn what 352 00:20:25,160 --> 00:20:29,480 Speaker 1: it's all about. Right now, listeners of Newsworld can sign 353 00:20:29,560 --> 00:20:33,160 Speaker 1: up from my three free weekly columns at Gingwich three 354 00:20:33,280 --> 00:20:37,879 Speaker 1: sixty dot com slash newsletter. I'm New English. This is 355 00:20:37,960 --> 00:20:38,480 Speaker 1: new Towld