1 00:00:03,800 --> 00:00:07,120 Speaker 1: On this episode of News World. I've been looking very 2 00:00:07,120 --> 00:00:11,680 Speaker 1: closely at the issue of unemployment fraud during the pandemic, 3 00:00:11,840 --> 00:00:16,800 Speaker 1: both in Washington State, where it's about a six hundred 4 00:00:16,840 --> 00:00:23,160 Speaker 1: million dollar problem involving apparently largely Nigerian cyber criminals who 5 00:00:23,239 --> 00:00:28,000 Speaker 1: have filed one hundred and twenty two thousand applications using 6 00:00:28,160 --> 00:00:32,440 Speaker 1: stolen identities, and they've gotten about six hundred million, which 7 00:00:32,479 --> 00:00:34,760 Speaker 1: I thought was a big number until I turned to 8 00:00:34,840 --> 00:00:39,760 Speaker 1: our largest state, California, and it turned out that the 9 00:00:39,880 --> 00:00:43,360 Speaker 1: Cares Act, which President Trump signed into law on March 10 00:00:43,440 --> 00:00:46,960 Speaker 1: twenty seventh of twenty twenty, provided a lot of extra 11 00:00:47,000 --> 00:00:50,120 Speaker 1: federal funding the states to help people who are employed 12 00:00:50,200 --> 00:00:54,600 Speaker 1: during the lockdowns. By May fourteenth, the US Secret Service 13 00:00:54,640 --> 00:00:59,320 Speaker 1: is shud and alert entitled quote massive fraud against state 14 00:00:59,400 --> 00:01:04,520 Speaker 1: unemployment insurance programs. By January twenty twenty one, the California 15 00:01:04,600 --> 00:01:09,039 Speaker 1: State Auditor had identified that at least eleven point four 16 00:01:09,240 --> 00:01:14,840 Speaker 1: billion dollars had been taken from the California unemployment insurance program, 17 00:01:14,920 --> 00:01:17,200 Speaker 1: but the yes much an hour or even higher. In fact, 18 00:01:17,480 --> 00:01:21,240 Speaker 1: many experts estimate the fraud could be as high as 19 00:01:21,400 --> 00:01:26,720 Speaker 1: thirty one billion dollars an unbelievable amount of taxpayer money 20 00:01:27,040 --> 00:01:30,120 Speaker 1: that was stolen and more importantly, did not get to 21 00:01:30,160 --> 00:01:33,360 Speaker 1: the people who needed it most. The citizens of Californias 22 00:01:33,360 --> 00:01:36,240 Speaker 1: were unemployed due to the pandemic. So I really wanted 23 00:01:36,240 --> 00:01:38,679 Speaker 1: to have a better sense of how fraud of this 24 00:01:38,880 --> 00:01:43,280 Speaker 1: scale could have happened. And I'm really pleased to introduce 25 00:01:43,360 --> 00:01:48,280 Speaker 1: my guests. McGregor Scott currently serves as the United States 26 00:01:48,320 --> 00:01:58,400 Speaker 1: Attorney for the Eastern District of California. McGregor, thank you 27 00:01:58,440 --> 00:02:01,240 Speaker 1: for joining me when we start at the beginning of 28 00:02:01,280 --> 00:02:05,080 Speaker 1: all this. How did a fraud of this magnitude take 29 00:02:05,120 --> 00:02:08,280 Speaker 1: place in California, Well, it's my pleasure to join you. 30 00:02:08,360 --> 00:02:11,320 Speaker 1: Thank you. Now I should point out that in California 31 00:02:11,480 --> 00:02:14,960 Speaker 1: we refer to this as EEDED because that's the state 32 00:02:15,000 --> 00:02:18,480 Speaker 1: agency which handles unemployment insurance by shorthand I will refer 33 00:02:18,520 --> 00:02:20,880 Speaker 1: to this as EDD fraud at least with respecting the 34 00:02:20,880 --> 00:02:23,720 Speaker 1: state of California. The next point I would make is 35 00:02:23,760 --> 00:02:27,320 Speaker 1: that it's not as though EDD fraud just happened as 36 00:02:27,320 --> 00:02:31,560 Speaker 1: a result of the pandemic. This office has been prosecuting 37 00:02:32,240 --> 00:02:36,560 Speaker 1: EDD fraud for the last several years, so it's nothing new. 38 00:02:37,560 --> 00:02:43,160 Speaker 1: The second point is that the California system has simply 39 00:02:43,280 --> 00:02:47,960 Speaker 1: not kept up, And a great analogy is that the 40 00:02:48,120 --> 00:02:52,280 Speaker 1: state unemployment system in California, you can analogize it to 41 00:02:52,400 --> 00:02:58,160 Speaker 1: an antiquated bridge that had not kept up with population technology. 42 00:02:58,240 --> 00:03:01,120 Speaker 1: All these things, and over the course of years, the 43 00:03:01,200 --> 00:03:04,359 Speaker 1: engineers would report that the bridge is no longer sufficient, 44 00:03:05,000 --> 00:03:08,600 Speaker 1: but senior leadership in the state chose to ignore that 45 00:03:08,720 --> 00:03:13,160 Speaker 1: and did not take simple measures to update the system 46 00:03:13,240 --> 00:03:17,760 Speaker 1: to prevent fraud of this scale. One example would be that, 47 00:03:18,040 --> 00:03:22,440 Speaker 1: unlike thirty five other states in the United States, California 48 00:03:22,440 --> 00:03:27,239 Speaker 1: prior to the present time did not cross reference unemployment 49 00:03:27,280 --> 00:03:32,919 Speaker 1: insurance applications against the prisoner database, so that was an 50 00:03:32,919 --> 00:03:37,520 Speaker 1: open door going into this. There was a system that 51 00:03:37,640 --> 00:03:40,520 Speaker 1: was put into place a few years ago, funded by 52 00:03:40,520 --> 00:03:44,680 Speaker 1: the federal government, that accelerated the ability of the state 53 00:03:44,880 --> 00:03:49,400 Speaker 1: to check the legitimacy of applications. The system itself was 54 00:03:49,440 --> 00:03:52,480 Speaker 1: paid by the fence, but after a short period of time, 55 00:03:52,520 --> 00:03:56,000 Speaker 1: the state decided they didn't have enough money to maintain 56 00:03:56,040 --> 00:03:59,400 Speaker 1: the operational expenses an ongoing basis, so they shut it down. 57 00:04:00,320 --> 00:04:02,560 Speaker 1: So this is just a couple of examples of the 58 00:04:02,640 --> 00:04:05,240 Speaker 1: kinds of things that the state of California has manifested 59 00:04:05,480 --> 00:04:11,120 Speaker 1: failed to do. And crooks are crooks. They're smart, they're sophisticated. 60 00:04:11,440 --> 00:04:15,080 Speaker 1: They see a soft underbelly and they go. And it 61 00:04:15,160 --> 00:04:18,200 Speaker 1: did not take very long in the spring this year 62 00:04:18,640 --> 00:04:21,160 Speaker 1: for the word to get out. And perhaps the way 63 00:04:21,200 --> 00:04:24,159 Speaker 1: that manifested it most directly was in the state prison system, 64 00:04:24,279 --> 00:04:28,200 Speaker 1: where we have example after example of inmates who figured 65 00:04:28,200 --> 00:04:32,440 Speaker 1: this out and applying for unemployment insurance and getting it. 66 00:04:33,200 --> 00:04:36,040 Speaker 1: So that's at one level. The next level is obviously 67 00:04:36,200 --> 00:04:39,440 Speaker 1: the international crime rings, the Nigerian fraud schemes that you 68 00:04:39,520 --> 00:04:42,760 Speaker 1: mentioned earlier. This is like Robin Fort Knox and there's 69 00:04:42,760 --> 00:04:46,359 Speaker 1: no guards and they manifested took advantage of it. And 70 00:04:46,480 --> 00:04:48,520 Speaker 1: the other thing was I think there was a state 71 00:04:48,520 --> 00:04:51,679 Speaker 1: of mind at the state despite the warnings that came 72 00:04:51,839 --> 00:04:54,640 Speaker 1: You referenced the water from the Secret Service. There were 73 00:04:54,680 --> 00:04:57,640 Speaker 1: also multiple warnings put out by the Federal Department of 74 00:04:57,720 --> 00:05:01,040 Speaker 1: Labor about the fraud that was owing and the danger 75 00:05:01,080 --> 00:05:03,800 Speaker 1: of fraud be at the state adopted this position that 76 00:05:03,839 --> 00:05:05,360 Speaker 1: we're just simply going to push the money out and 77 00:05:05,440 --> 00:05:08,360 Speaker 1: we'll worry about it later. So it was a confluence 78 00:05:08,400 --> 00:05:11,960 Speaker 1: of events which led us to this. There is incompetence 79 00:05:12,080 --> 00:05:15,160 Speaker 1: at an almost biblical scale in terms of the historical 80 00:05:15,240 --> 00:05:19,040 Speaker 1: operations of dB here in California. And then we had 81 00:05:19,080 --> 00:05:22,440 Speaker 1: this confluence of the global pandemic and this federal money 82 00:05:22,480 --> 00:05:25,159 Speaker 1: coming out. And the final point I would make, and 83 00:05:25,200 --> 00:05:27,200 Speaker 1: I think it's an important one to making you can 84 00:05:27,279 --> 00:05:29,720 Speaker 1: appreciate this in the positions you held in your life. 85 00:05:30,160 --> 00:05:33,840 Speaker 1: People need to understand that this money, the federal government 86 00:05:33,880 --> 00:05:37,680 Speaker 1: provides the money to the states, but it's the responsibility 87 00:05:37,720 --> 00:05:42,240 Speaker 1: of the states to accept applications, process for approval and 88 00:05:42,320 --> 00:05:46,920 Speaker 1: actually provide the money. This is defence funded the states operated, 89 00:05:47,000 --> 00:05:48,640 Speaker 1: and we need to keep site on that as we 90 00:05:48,680 --> 00:05:51,600 Speaker 1: look at this manifest fraud has taken place in California. 91 00:05:51,760 --> 00:05:54,719 Speaker 1: When you look at all this, how does word spread? 92 00:05:54,800 --> 00:05:57,520 Speaker 1: You know, so many figures out Ah, I can break through, 93 00:05:58,279 --> 00:06:02,520 Speaker 1: but then the word must have spread believably fast. Well, 94 00:06:02,520 --> 00:06:05,560 Speaker 1: it did, specifically in the prison system where you've got 95 00:06:06,040 --> 00:06:09,640 Speaker 1: a highly dense, highly concentrated population of people who are 96 00:06:09,680 --> 00:06:12,719 Speaker 1: in prison for a reason. To start with that premise, 97 00:06:13,240 --> 00:06:16,400 Speaker 1: and they figured out and worn spreads and by way 98 00:06:16,400 --> 00:06:18,719 Speaker 1: of example, one case that we have indicted out of 99 00:06:18,760 --> 00:06:22,240 Speaker 1: this office from the principal women's prison here in the 100 00:06:22,240 --> 00:06:24,880 Speaker 1: state of California in the Central Valley. Two women who 101 00:06:24,880 --> 00:06:27,240 Speaker 1: were serving time together. One of them was paroles, So 102 00:06:27,279 --> 00:06:30,279 Speaker 1: she's out on the outside and the one who still 103 00:06:30,320 --> 00:06:33,480 Speaker 1: in custody is acquiring name, social scarity numbers and dates 104 00:06:33,480 --> 00:06:36,880 Speaker 1: of birth of other inmates, and then she passes those 105 00:06:36,920 --> 00:06:39,320 Speaker 1: to the woman who's on the outside by email and 106 00:06:39,400 --> 00:06:42,600 Speaker 1: bone calls, and the woman on the outside submits all 107 00:06:42,600 --> 00:06:46,240 Speaker 1: the applications, gets the money and off their run. So 108 00:06:46,400 --> 00:06:49,599 Speaker 1: that's just one example of how this manifested itself in 109 00:06:49,640 --> 00:06:52,680 Speaker 1: the state prison system. Is it legal in California for 110 00:06:53,520 --> 00:06:58,000 Speaker 1: prisoners in prison to get unemployment compensation? Absolutely not certain, 111 00:06:58,279 --> 00:07:01,560 Speaker 1: no way, shape or form. That's a knowable group. Why 112 00:07:01,560 --> 00:07:05,400 Speaker 1: didn't the employment office simply match up the computer files 113 00:07:06,279 --> 00:07:10,800 Speaker 1: and identify the prisoners, because unlike thirty five other states 114 00:07:11,000 --> 00:07:14,640 Speaker 1: in the country, California did not do that. There was 115 00:07:15,040 --> 00:07:19,000 Speaker 1: a stated policy position that the state prison system could 116 00:07:19,040 --> 00:07:24,520 Speaker 1: not share social security numbers with EDD for reasons which 117 00:07:24,520 --> 00:07:27,280 Speaker 1: are not readily imparent, but that was the policy that 118 00:07:27,400 --> 00:07:31,360 Speaker 1: was adopted. That policy has, upon the advice of the 119 00:07:31,360 --> 00:07:35,400 Speaker 1: state Attorney General, has since been rescinded and now here. 120 00:07:35,440 --> 00:07:38,000 Speaker 1: In recent weeks and months, the state prison system is 121 00:07:38,040 --> 00:07:41,040 Speaker 1: now in fact sharing social security numbers with DDS prevent 122 00:07:41,320 --> 00:07:44,320 Speaker 1: exactly what we're talking about right now. But the door 123 00:07:44,520 --> 00:07:48,720 Speaker 1: was wide open because of a self imposed restriction put 124 00:07:48,760 --> 00:07:52,160 Speaker 1: in place by the state for reasons which are not obvious. 125 00:07:52,520 --> 00:07:57,120 Speaker 1: So somebody else said that there was one case where 126 00:07:57,200 --> 00:08:01,360 Speaker 1: some seventeen hundred checks went to the same address. That 127 00:08:01,560 --> 00:08:05,360 Speaker 1: is correct, yes, well, and there was no internal control 128 00:08:05,400 --> 00:08:08,480 Speaker 1: that said, you know, I mean maybe the first three 129 00:08:08,560 --> 00:08:11,680 Speaker 1: or four or five, but it's a seventeen hundred. You 130 00:08:11,680 --> 00:08:14,720 Speaker 1: would have thought somebody would have noticed, one, would hope. 131 00:08:14,880 --> 00:08:19,239 Speaker 1: And the lack of any sort of quality control going 132 00:08:19,280 --> 00:08:21,960 Speaker 1: into this is mind bodling. And I will give you 133 00:08:22,040 --> 00:08:27,080 Speaker 1: another example. We are prosecuting a case involving the originators 134 00:08:27,160 --> 00:08:31,600 Speaker 1: were Nigerian fraudsters. They submitted an application to the state 135 00:08:31,600 --> 00:08:35,440 Speaker 1: of California for unemployment insurance in the name of Diane Feinstein. 136 00:08:35,960 --> 00:08:39,959 Speaker 1: Perhaps you've heard that name. This would Hurst. That application 137 00:08:40,120 --> 00:08:42,360 Speaker 1: was one of over one hundred that were sent to 138 00:08:42,400 --> 00:08:46,000 Speaker 1: the residents of a woman here in a suburb of Sacramento, 139 00:08:46,640 --> 00:08:50,520 Speaker 1: and the state approved that payment. So unemployment insurance was 140 00:08:50,559 --> 00:08:53,000 Speaker 1: issued by the state of California in the name of 141 00:08:53,040 --> 00:08:57,920 Speaker 1: Diane Feinstein, and it was all automatic or was there 142 00:08:57,960 --> 00:09:00,600 Speaker 1: actually a human being in the loop. I don't know 143 00:09:00,720 --> 00:09:03,120 Speaker 1: the answer to that. I'm not pretty to the inside 144 00:09:03,160 --> 00:09:05,960 Speaker 1: baseball and how that all works. Common sense tells me 145 00:09:06,000 --> 00:09:08,559 Speaker 1: it's got to be automated. With certain hope there is 146 00:09:08,600 --> 00:09:11,200 Speaker 1: a human being saying, oh, I advised Jack, But I 147 00:09:11,240 --> 00:09:28,280 Speaker 1: don't know the answer to that. In Washington State, the 148 00:09:28,440 --> 00:09:32,360 Speaker 1: Nigerians seem to be the primary actors, and apparently it 149 00:09:32,440 --> 00:09:37,120 Speaker 1: was an entire cyber crime network in Nigeria that makes 150 00:09:37,120 --> 00:09:39,600 Speaker 1: an amazing amount of money out of ripping off the 151 00:09:39,640 --> 00:09:43,360 Speaker 1: rest of the world. To what extent where Nigerians playing 152 00:09:43,400 --> 00:09:46,800 Speaker 1: in California. They were definitely a significant part of it, 153 00:09:47,120 --> 00:09:49,800 Speaker 1: But there were only one piece of it. Because we've 154 00:09:49,840 --> 00:09:52,280 Speaker 1: got all the different blocks, We've got the prisons and 155 00:09:52,320 --> 00:09:56,320 Speaker 1: the jails, we've got the international crimaries, and it's not 156 00:09:56,360 --> 00:10:00,200 Speaker 1: just the Nigerians and the Eastern European ones, Russian ones 157 00:10:00,280 --> 00:10:02,800 Speaker 1: as well. And then there's a third bucket that I 158 00:10:02,880 --> 00:10:06,320 Speaker 1: refer to as the grifters. And these are people who 159 00:10:06,440 --> 00:10:09,480 Speaker 1: have long standing criminal records for all the various forms 160 00:10:09,480 --> 00:10:12,080 Speaker 1: of fraud that you could think of who figured this 161 00:10:12,120 --> 00:10:14,560 Speaker 1: one out as well. So those are the three broad 162 00:10:14,640 --> 00:10:17,600 Speaker 1: buckets that I would put it into. If something like 163 00:10:17,679 --> 00:10:21,760 Speaker 1: thirty one billion dollars has been paid out illegally, how 164 00:10:21,840 --> 00:10:24,559 Speaker 1: practical is to try to get that money back. It's 165 00:10:24,559 --> 00:10:27,199 Speaker 1: a great question, and that is something that we are 166 00:10:27,240 --> 00:10:31,560 Speaker 1: struggling with in all candor, because in large measure the 167 00:10:31,679 --> 00:10:34,840 Speaker 1: money's gone. I can tell you by way of example, 168 00:10:35,160 --> 00:10:38,400 Speaker 1: earlier in January, we serve search warrants at a residence 169 00:10:38,400 --> 00:10:43,040 Speaker 1: here in Sacramento, at a location where hundreds of thousands 170 00:10:43,080 --> 00:10:47,920 Speaker 1: of dollars in unemployment insurance debit cards were sent. And 171 00:10:48,040 --> 00:10:52,160 Speaker 1: in that search warrant we recovered seven thousand dollars in 172 00:10:52,280 --> 00:10:55,480 Speaker 1: a laundry basket. So of all that hundreds of thousands, 173 00:10:55,640 --> 00:10:58,200 Speaker 1: we were able to recover seven. So it's not going 174 00:10:58,280 --> 00:11:00,679 Speaker 1: to be much, I'm afraid at the end of the day. 175 00:11:01,320 --> 00:11:04,040 Speaker 1: That's what strikes me is that the amount anyone activity 176 00:11:04,320 --> 00:11:07,680 Speaker 1: is so small, and it's so hard to track down 177 00:11:07,720 --> 00:11:10,360 Speaker 1: all the data to put to other witnesses. You know, 178 00:11:10,400 --> 00:11:13,080 Speaker 1: I mean a criminal justice system which is designed to 179 00:11:13,080 --> 00:11:16,720 Speaker 1: protect the innocent. Also sometimes it's an upflow the crooks 180 00:11:16,720 --> 00:11:20,040 Speaker 1: get out. Is there any sense of overhauling the EDD 181 00:11:20,280 --> 00:11:24,320 Speaker 1: and a pretty dramatic way. Well, I think that's probably 182 00:11:24,360 --> 00:11:27,560 Speaker 1: a question best directed to the Governor's office. But I 183 00:11:27,600 --> 00:11:30,960 Speaker 1: think they have undertaken obviously a number of changes because 184 00:11:31,000 --> 00:11:34,080 Speaker 1: of the outrage within the state or how could this 185 00:11:34,200 --> 00:11:37,199 Speaker 1: happen and the sharing confidence. I think they have undertaken 186 00:11:37,200 --> 00:11:40,760 Speaker 1: a number of changes. Whether those are the magic bullet, 187 00:11:40,920 --> 00:11:43,560 Speaker 1: I don't know. I know that one of the changes 188 00:11:43,600 --> 00:11:47,079 Speaker 1: they have made is a system called id ME, which 189 00:11:47,160 --> 00:11:50,719 Speaker 1: helps to cut down on their number of fraudulent applications. 190 00:11:50,760 --> 00:11:53,760 Speaker 1: But we're already getting reports that the fraudsters are figuring 191 00:11:53,800 --> 00:11:56,839 Speaker 1: out how to go around id ME and continue to 192 00:11:57,000 --> 00:12:00,480 Speaker 1: submit applications. We get the money. It's not a battle. 193 00:12:00,520 --> 00:12:04,000 Speaker 1: You know, the other side does something, we react. So 194 00:12:04,080 --> 00:12:06,200 Speaker 1: do you have an idea what a typical payment would 195 00:12:06,200 --> 00:12:08,960 Speaker 1: have been? The general numbers that we seem to see 196 00:12:09,640 --> 00:12:12,240 Speaker 1: on an individual payout or in the twenty to thirty 197 00:12:12,240 --> 00:12:16,240 Speaker 1: thousand dollars range, because it would be multiple months and 198 00:12:16,400 --> 00:12:20,120 Speaker 1: they paid retroactively from the time of submission at approval. 199 00:12:20,400 --> 00:12:23,240 Speaker 1: I mean that's actually where it's stealing. Oh yeah, for sure, 200 00:12:23,320 --> 00:12:26,640 Speaker 1: this isn't chump change. Yeah, absolutely, especially when you have 201 00:12:26,640 --> 00:12:30,400 Speaker 1: no attention to paying taxes that money and it's cash 202 00:12:30,440 --> 00:12:32,080 Speaker 1: and you can do whatever you want with it. And 203 00:12:32,240 --> 00:12:36,680 Speaker 1: somebody said that one of the differences because in Washington State, 204 00:12:36,679 --> 00:12:40,000 Speaker 1: the money literally was leaving the country, but in California, 205 00:12:40,360 --> 00:12:42,640 Speaker 1: a very high percentage of it is going to criminals 206 00:12:43,000 --> 00:12:46,560 Speaker 1: who are using it to buy illegal guns, to buy drugs, 207 00:12:46,640 --> 00:12:50,240 Speaker 1: and to participate in human trafficking. I mean, do you 208 00:12:50,240 --> 00:12:53,079 Speaker 1: get that sense when you're interviewing people and looking at 209 00:12:53,080 --> 00:12:56,199 Speaker 1: how these cases are evolving, that it really does involve 210 00:12:56,240 --> 00:12:59,840 Speaker 1: a level of criminality that in effect, the taxpayers are 211 00:13:00,000 --> 00:13:04,320 Speaker 1: subsidizing the tunnels, no question about it. We have had 212 00:13:04,360 --> 00:13:09,640 Speaker 1: a number of wire taps on narcotics investigations where we're 213 00:13:09,679 --> 00:13:13,599 Speaker 1: picking up descriptions of exactly what you just described, that 214 00:13:13,720 --> 00:13:17,320 Speaker 1: the eded money is being used to facilitate the purchase 215 00:13:17,360 --> 00:13:21,120 Speaker 1: of firearms and the transport and sale of narcotics and 216 00:13:21,160 --> 00:13:25,040 Speaker 1: humans rafting. It's absolutely a piece of thist. So literally, 217 00:13:26,120 --> 00:13:28,679 Speaker 1: if you look at the dramatic rise in crime rates 218 00:13:28,720 --> 00:13:30,640 Speaker 1: and murders and what have you, I mean, you have 219 00:13:30,679 --> 00:13:33,040 Speaker 1: the system which is almost just spinning out of control. 220 00:13:33,440 --> 00:13:36,040 Speaker 1: It is a perfect storm in California right now. We 221 00:13:36,160 --> 00:13:41,520 Speaker 1: have undertaken a massive social experiment in revisions to our 222 00:13:41,679 --> 00:13:44,880 Speaker 1: penal system over the last several years. There are a 223 00:13:44,880 --> 00:13:46,880 Speaker 1: whole lot more people out on the street right now 224 00:13:46,960 --> 00:13:49,200 Speaker 1: we should be in prison or a county jail, which 225 00:13:49,400 --> 00:13:54,080 Speaker 1: than are, So that's a piece of it. We have COVID, 226 00:13:54,240 --> 00:13:59,120 Speaker 1: which has resulted in mass numbers of people being released 227 00:13:59,160 --> 00:14:01,360 Speaker 1: from the state prison and the county jails. For a 228 00:14:01,400 --> 00:14:05,679 Speaker 1: long time, there are zero bail provisions in place across 229 00:14:05,720 --> 00:14:09,320 Speaker 1: the state of the county jail level. And then we 230 00:14:09,440 --> 00:14:12,319 Speaker 1: have people with way too much time on their hands 231 00:14:12,320 --> 00:14:15,280 Speaker 1: and nothing to do. And now we have a means 232 00:14:15,480 --> 00:14:21,480 Speaker 1: of funding criminal operations through this EDD money, and all 233 00:14:21,480 --> 00:14:25,680 Speaker 1: of that has culminated in a dramatic historic increase in 234 00:14:25,720 --> 00:14:29,080 Speaker 1: their violent crime rate in the state of California across 235 00:14:29,160 --> 00:14:33,360 Speaker 1: the state isolated LA, not isolated to the bar across 236 00:14:33,440 --> 00:14:38,680 Speaker 1: the state in terms of pomicides and shootings. There are 237 00:14:38,760 --> 00:14:43,920 Speaker 1: consequences to policies, and those consequences are right now playing 238 00:14:43,960 --> 00:15:04,560 Speaker 1: out in the streets of California. Apparently, EEDED identified twenty 239 00:15:04,600 --> 00:15:08,880 Speaker 1: six thousand addresses that it said we're linked to suspicious claims, 240 00:15:09,640 --> 00:15:12,800 Speaker 1: but it only stopped payment to claims associated like ten 241 00:15:12,800 --> 00:15:16,400 Speaker 1: thousand of them, so the other fifteen thousand are suspicious 242 00:15:16,600 --> 00:15:19,360 Speaker 1: that they get the money. Anyway, I don't have the 243 00:15:19,440 --> 00:15:23,720 Speaker 1: particulars around what EDD did with respect to that. What 244 00:15:23,840 --> 00:15:27,920 Speaker 1: I can tell you is that the financial institution which 245 00:15:27,920 --> 00:15:31,360 Speaker 1: actually operates this for EEDD is the Bank of American. 246 00:15:31,840 --> 00:15:36,240 Speaker 1: When people are approved for unemployment insurance, they essentially get 247 00:15:36,280 --> 00:15:39,320 Speaker 1: a debit card that is usable at a Bank of 248 00:15:39,360 --> 00:15:42,520 Speaker 1: American where they can go get cash. So Bank of 249 00:15:42,560 --> 00:15:44,600 Speaker 1: America is right in the middle of all of this, 250 00:15:45,360 --> 00:15:48,000 Speaker 1: and one of the things that happened this is a 251 00:15:48,000 --> 00:15:50,920 Speaker 1: few months ago now. The Bank of America on its 252 00:15:50,920 --> 00:15:53,840 Speaker 1: own sort of figured out something's going on here, and 253 00:15:54,080 --> 00:15:57,360 Speaker 1: they put together what we call a suspicious Activity report, 254 00:15:57,920 --> 00:16:00,200 Speaker 1: which is a requirement and a federal law for banks 255 00:16:00,200 --> 00:16:04,160 Speaker 1: to report suspicious banking activities. They called it a super 256 00:16:04,320 --> 00:16:08,800 Speaker 1: Suspicious Activity Report. And what they looked at in terms 257 00:16:08,800 --> 00:16:12,560 Speaker 1: of what they turned over to the FBI, which we 258 00:16:12,680 --> 00:16:18,480 Speaker 1: coordinated through this office, only instances where five or more 259 00:16:19,600 --> 00:16:24,400 Speaker 1: applications came from a single residence outside the state of California. 260 00:16:24,680 --> 00:16:28,800 Speaker 1: So let me say that again, only five applications from 261 00:16:28,800 --> 00:16:32,120 Speaker 1: a residence outside the state of California, so anything inside 262 00:16:32,120 --> 00:16:35,320 Speaker 1: the state, anything involving for or fewer outside the state, 263 00:16:35,720 --> 00:16:40,680 Speaker 1: and that bucket alone was five billion dollars. Why doesn't 264 00:16:40,680 --> 00:16:44,400 Speaker 1: the Bank of America have any responsibility? He do, and 265 00:16:44,520 --> 00:16:46,480 Speaker 1: at the end of the day, there will be some 266 00:16:46,560 --> 00:16:49,320 Speaker 1: real issues with this. One of the problems that was 267 00:16:49,360 --> 00:16:54,280 Speaker 1: identified was that edd would get an application with a 268 00:16:54,320 --> 00:16:59,880 Speaker 1: specific residence, approve it, and then whoever had submitted the 269 00:17:00,000 --> 00:17:03,200 Speaker 1: application that was approved could then go to the Bank 270 00:17:03,240 --> 00:17:07,240 Speaker 1: of America and change the address to which the debit 271 00:17:07,359 --> 00:17:12,840 Speaker 1: card would be sent. So again another failing of the 272 00:17:12,920 --> 00:17:15,720 Speaker 1: system that was set up to handle all There's just 273 00:17:15,800 --> 00:17:18,120 Speaker 1: a lot of pieces of this. The Bank of America, 274 00:17:18,240 --> 00:17:20,160 Speaker 1: They've got their own issues out of this whole thing, 275 00:17:20,720 --> 00:17:22,639 Speaker 1: and there will have to be some accountability on that 276 00:17:22,720 --> 00:17:25,240 Speaker 1: end as well. Part of what makes it so relevant 277 00:17:25,320 --> 00:17:31,600 Speaker 1: is that both in Washington State with Susie Levine and 278 00:17:31,760 --> 00:17:34,840 Speaker 1: in California with Julie Sue, the person who is in 279 00:17:35,000 --> 00:17:40,280 Speaker 1: charge of six hundred million and thirty one billion in fraud, 280 00:17:40,840 --> 00:17:43,960 Speaker 1: both have been nominated by Biden to major jobs in 281 00:17:44,000 --> 00:17:47,760 Speaker 1: the Labor Department. How can that make any sense? It 282 00:17:47,880 --> 00:17:52,040 Speaker 1: makes no sense, and its promotion for incompetence, and we've 283 00:17:52,040 --> 00:17:54,080 Speaker 1: had enough of that. We've had enough of that here 284 00:17:54,119 --> 00:17:56,040 Speaker 1: in California, and we've had enough of it at the 285 00:17:56,080 --> 00:18:00,800 Speaker 1: federal government. Miss Sue, she in large measure owns this thing. 286 00:18:01,280 --> 00:18:04,840 Speaker 1: There were policy directions given directly from her, and a 287 00:18:04,920 --> 00:18:07,960 Speaker 1: large measure allowed a lot of this to happen. And 288 00:18:08,080 --> 00:18:12,080 Speaker 1: it is simply incomprehensible to me that she could now 289 00:18:12,119 --> 00:18:15,720 Speaker 1: be essentially handled a great, big promotion. So I don't 290 00:18:15,720 --> 00:18:18,119 Speaker 1: get it. I don't either, and I'm trying to get 291 00:18:18,680 --> 00:18:21,679 Speaker 1: the appropriate members of the Senate to take a serious 292 00:18:21,680 --> 00:18:24,240 Speaker 1: look at both of these people. This is corruption on 293 00:18:24,320 --> 00:18:27,200 Speaker 1: such a grand scales, I think you said earlier California 294 00:18:27,560 --> 00:18:33,240 Speaker 1: maybe the largest theft of taxpayer money in history by 295 00:18:33,280 --> 00:18:37,520 Speaker 1: a big margin. And yet the person who was standing 296 00:18:37,520 --> 00:18:40,000 Speaker 1: there handing out the money to the crooks is now 297 00:18:40,080 --> 00:18:43,440 Speaker 1: getting a promotion to go to Washington. It defies common sense. 298 00:18:44,160 --> 00:18:46,840 Speaker 1: It may explain a lot of the energy and drive 299 00:18:46,960 --> 00:18:50,240 Speaker 1: behind the recall petition that people have to all just 300 00:18:50,320 --> 00:18:53,800 Speaker 1: get tired of this many bizarre things. Now I understanding 301 00:18:53,880 --> 00:18:56,480 Speaker 1: of a bridge analogy for all of this, Yes, sir, 302 00:18:56,680 --> 00:18:59,400 Speaker 1: The analogy I would you use is that the Edd 303 00:18:59,600 --> 00:19:04,119 Speaker 1: system in California is analogous to an antiquated bridge that 304 00:19:04,240 --> 00:19:07,720 Speaker 1: is no longer sufficient to handle the volume of traffic 305 00:19:08,359 --> 00:19:12,040 Speaker 1: or the size of the vehicles crossing over, but it 306 00:19:12,119 --> 00:19:16,399 Speaker 1: limps along, and over the years, the structural engineers have 307 00:19:17,000 --> 00:19:19,520 Speaker 1: looked at it and reported to the appropriate authorities that 308 00:19:19,560 --> 00:19:22,240 Speaker 1: the bridge needs to be updated or at least perhaps 309 00:19:22,240 --> 00:19:25,639 Speaker 1: even replaced, but the people in charge have chosen to 310 00:19:25,680 --> 00:19:30,120 Speaker 1: ignore those recommendations. So then when all of a sudden 311 00:19:30,440 --> 00:19:34,399 Speaker 1: there is a surge in traffic, the bridge fails because 312 00:19:34,440 --> 00:19:37,440 Speaker 1: it has not been updated, it has not been maintained, 313 00:19:37,720 --> 00:19:41,360 Speaker 1: it has not been replaced. And that really is exactly 314 00:19:41,359 --> 00:19:45,480 Speaker 1: what happened here in California. The problems with the EDD 315 00:19:45,640 --> 00:19:49,879 Speaker 1: system have been called out systematically over the years, through audits, 316 00:19:50,520 --> 00:19:54,280 Speaker 1: through prosecutions, through any number of ways, and the state 317 00:19:54,359 --> 00:19:58,960 Speaker 1: has simply chosen not to keep the bridge up to date. 318 00:19:59,359 --> 00:20:02,159 Speaker 1: And what that resulted in at the end of the 319 00:20:02,240 --> 00:20:06,440 Speaker 1: day was the front door to the vault at Fort 320 00:20:06,520 --> 00:20:10,879 Speaker 1: Knox was wide open and criminals walked right in and 321 00:20:11,080 --> 00:20:14,200 Speaker 1: walked right out with the taxpayers money. I understand you're 322 00:20:14,240 --> 00:20:16,199 Speaker 1: ending your turn at the end of this moneth. What 323 00:20:16,280 --> 00:20:20,040 Speaker 1: do you challenge your successor to do. Here's an analogy 324 00:20:20,080 --> 00:20:22,399 Speaker 1: I would use. I held this same position in the 325 00:20:22,600 --> 00:20:26,200 Speaker 1: Bush forty three administration, and probably the last two years 326 00:20:26,200 --> 00:20:29,960 Speaker 1: of my time there, it was all mortgage fraud all 327 00:20:30,040 --> 00:20:33,000 Speaker 1: the time. It was just a manifest thing that we 328 00:20:33,000 --> 00:20:36,960 Speaker 1: were dealing with. And my successor in the Obama administration 329 00:20:37,119 --> 00:20:40,680 Speaker 1: continued the great work that was being done in prosecuting 330 00:20:40,760 --> 00:20:43,440 Speaker 1: those who stole money at that time. You know, this 331 00:20:43,720 --> 00:20:47,000 Speaker 1: EDD fraud prosecution work is going to last long after 332 00:20:47,040 --> 00:20:50,119 Speaker 1: I leave as US Attorney, and I am hopeful and 333 00:20:50,160 --> 00:20:53,840 Speaker 1: confident that my successor in this chair will continue to 334 00:20:53,960 --> 00:20:57,000 Speaker 1: great work. We've got a well oiled machine that is 335 00:20:57,080 --> 00:20:59,520 Speaker 1: hitting on all cylinders right now, and it is going 336 00:20:59,600 --> 00:21:01,840 Speaker 1: to just con tinue to march forward in trying to 337 00:21:01,880 --> 00:21:05,239 Speaker 1: bring accountability to these people who just simply stole from 338 00:21:05,280 --> 00:21:09,840 Speaker 1: the taxpayers. Remarkable, it's an amazing story. I really want 339 00:21:09,840 --> 00:21:13,400 Speaker 1: to thank you for your public service and your willingness 340 00:21:13,440 --> 00:21:18,640 Speaker 1: to tackle projects on this scale. As a historian, I'm 341 00:21:18,640 --> 00:21:21,800 Speaker 1: pretty sure this will be the largest theft of public 342 00:21:21,840 --> 00:21:26,359 Speaker 1: funds in American history, and if it wasn't for people 343 00:21:26,400 --> 00:21:28,720 Speaker 1: like you, we still would not know about it. Well, 344 00:21:28,720 --> 00:21:30,800 Speaker 1: I appreciate that very much, and the credit really goes 345 00:21:30,880 --> 00:21:33,119 Speaker 1: to the agents and the officers and the books that 346 00:21:33,119 --> 00:21:36,080 Speaker 1: will work in these cases. The investigations and my prosecutors 347 00:21:36,320 --> 00:21:39,000 Speaker 1: are everything we can and have ganimal continuity to do. 348 00:21:39,080 --> 00:21:44,680 Speaker 1: So thank you to my guests McGregor Scott. You can 349 00:21:44,720 --> 00:21:48,520 Speaker 1: read more about the thirty one billion dollars California EDD 350 00:21:48,760 --> 00:21:53,280 Speaker 1: fraud on our show page at newsworld dot com. News 351 00:21:53,320 --> 00:21:57,320 Speaker 1: World is produced by English Sweet sixty and Ihearted Media. 352 00:21:57,880 --> 00:22:03,000 Speaker 1: Our executive producer is d Myers, our producer is Garnsey Slow, 353 00:22:03,480 --> 00:22:07,520 Speaker 1: and our researcher is Rachel Peterson. The artwork for the 354 00:22:07,560 --> 00:22:11,800 Speaker 1: show was created by Steve Pennelly. Special thanks to the 355 00:22:11,880 --> 00:22:15,600 Speaker 1: team at Gingwish three sixty. If you've been enjoying news World, 356 00:22:16,000 --> 00:22:18,800 Speaker 1: I hope you'll go to Apple Podcasts and both rate 357 00:22:18,920 --> 00:22:22,119 Speaker 1: us with five stars and give us a review so 358 00:22:22,240 --> 00:22:25,760 Speaker 1: others can learn what it's all about. Right now, listeners 359 00:22:25,760 --> 00:22:28,760 Speaker 1: of news World can sign up for my three free 360 00:22:28,840 --> 00:22:33,399 Speaker 1: weekly columns at Gingwish three sixty dot com slash newsletter. 361 00:22:33,840 --> 00:22:36,240 Speaker 1: I'm new Gingwig. This is new Tworld