1 00:00:04,880 --> 00:00:07,080 Speaker 1: On this episode of the News World, we're going to 2 00:00:07,120 --> 00:00:10,880 Speaker 1: discuss the details of the billion dollar fraud scheme in 3 00:00:10,960 --> 00:00:14,440 Speaker 1: the state of Minnesota and how it all happened. How 4 00:00:14,480 --> 00:00:18,079 Speaker 1: could one state lose this much money through social service 5 00:00:18,120 --> 00:00:22,560 Speaker 1: programs while going unchecked. My guest today has written about 6 00:00:22,560 --> 00:00:26,239 Speaker 1: Minnesota's fraud for the Manhattan Institute's City Journal in an 7 00:00:26,320 --> 00:00:30,800 Speaker 1: article co authored with Christopher Ruffo quote the largest funder 8 00:00:30,800 --> 00:00:34,680 Speaker 1: of Al Shabab is the Minnesota taxpayer, which is available 9 00:00:34,720 --> 00:00:39,000 Speaker 1: now at citydash Journal dot org. I'm really pleased to 10 00:00:39,040 --> 00:00:42,920 Speaker 1: welcome my guest, Ryan Thorpe. He is an investigative reporter 11 00:00:43,320 --> 00:00:59,920 Speaker 1: at the Manhattan Institute. Ryan, welcome, and thank you for 12 00:01:00,080 --> 00:01:01,680 Speaker 1: joining me a news room. 13 00:01:02,000 --> 00:01:02,880 Speaker 2: It's great to be here. 14 00:01:03,760 --> 00:01:05,960 Speaker 1: And then let me say to everybody that I think 15 00:01:06,040 --> 00:01:10,400 Speaker 1: the paper that Ryan and Chris Road is astonishing, and 16 00:01:10,480 --> 00:01:13,920 Speaker 1: as you listen to this podcast, you'll understand what an 17 00:01:13,959 --> 00:01:19,039 Speaker 1: extraordinary story they've helped put together and how truly this 18 00:01:19,080 --> 00:01:21,480 Speaker 1: is a wake up call for the United States at 19 00:01:21,480 --> 00:01:23,760 Speaker 1: a lot of different levels. But let me give you 20 00:01:24,240 --> 00:01:27,560 Speaker 1: a brief overview of the frauds game, because frankly, it's 21 00:01:27,600 --> 00:01:30,880 Speaker 1: sufficiently complicated. I had to go back and reread various 22 00:01:30,959 --> 00:01:34,119 Speaker 1: things several times to begin to realize the real depth 23 00:01:34,160 --> 00:01:38,119 Speaker 1: of it. The fraud scheme began with a Minnesota based 24 00:01:38,160 --> 00:01:43,280 Speaker 1: nonprofit organization called Feeding Our Future. Their goal was to 25 00:01:43,319 --> 00:01:47,320 Speaker 1: help feed children during the COVID pandemic shutdowns when food 26 00:01:47,360 --> 00:01:51,160 Speaker 1: and secure children were not going to school. The result 27 00:01:51,360 --> 00:01:54,320 Speaker 1: was they set up several feeding sites by partnering with 28 00:01:54,360 --> 00:01:58,800 Speaker 1: local businesses. The only problem was kids weren't actually being 29 00:01:58,840 --> 00:02:01,840 Speaker 1: fed by these sites, but the stay with being billed 30 00:02:02,120 --> 00:02:05,600 Speaker 1: as if they were. And what's worse, the owners of 31 00:02:05,640 --> 00:02:10,360 Speaker 1: the businesses reimbursed for vinfoices for feeding children were actually 32 00:02:10,400 --> 00:02:14,560 Speaker 1: spending the money on luxury cars, houses, and real estate 33 00:02:14,639 --> 00:02:19,239 Speaker 1: projects over seats. Then a second program emerged, the Housing 34 00:02:19,360 --> 00:02:24,800 Speaker 1: Stabilization Services. Hundreds of providers were reimbursed for assistance they 35 00:02:24,840 --> 00:02:28,680 Speaker 1: claimed to provided to people at risk for homelessness, though 36 00:02:28,760 --> 00:02:33,000 Speaker 1: federal authority said those services were just not provided. And 37 00:02:33,080 --> 00:02:37,760 Speaker 1: yet another Minnesota program meant to provide therapy for autistic children. 38 00:02:38,160 --> 00:02:43,519 Speaker 1: Prosecutors said providers recruited children in Minneapolis Somali community, falsely 39 00:02:43,680 --> 00:02:47,919 Speaker 1: certifying them as qualifying for autism treatment, and then paying 40 00:02:47,960 --> 00:02:53,120 Speaker 1: their parents cash payments as kickbacks for their cooperation. The 41 00:02:53,160 --> 00:02:58,960 Speaker 1: amount of money stolen is nearing one billion dollars. Remember 42 00:02:59,320 --> 00:03:02,519 Speaker 1: this is just for the city of Minneapolis. You would 43 00:03:02,520 --> 00:03:05,400 Speaker 1: think it a billion that should be nationwide, but it's not. 44 00:03:06,040 --> 00:03:09,240 Speaker 1: And Minnesota has now announced that they're putting a pause 45 00:03:09,560 --> 00:03:14,520 Speaker 1: on fourteen other social services programs to evaluate them for fraud. 46 00:03:15,000 --> 00:03:18,680 Speaker 1: So now, Ryan, given that background, First of all, what 47 00:03:18,880 --> 00:03:21,440 Speaker 1: was your reaction when you first encountered this. 48 00:03:22,840 --> 00:03:25,880 Speaker 2: It was astonishing. We had been talking about doing some 49 00:03:26,000 --> 00:03:29,040 Speaker 2: reporting on waste, fraud and abuse in government programs, kind 50 00:03:29,040 --> 00:03:32,600 Speaker 2: of for at large. We clued into Minnesota as perhaps 51 00:03:32,639 --> 00:03:35,600 Speaker 2: being a good location for some on the ground reporting 52 00:03:35,920 --> 00:03:38,560 Speaker 2: given some of the indictments that we were seeing coming down. 53 00:03:38,920 --> 00:03:40,960 Speaker 2: But when I really dove into this and started to 54 00:03:41,000 --> 00:03:44,200 Speaker 2: piece together the scope of the fraud in the state 55 00:03:44,240 --> 00:03:49,120 Speaker 2: of Minnesota, it was absolutely astonishing, and very quickly. The 56 00:03:49,160 --> 00:03:51,200 Speaker 2: other thing that became apparent to me was that when 57 00:03:51,200 --> 00:03:54,360 Speaker 2: you're looking at these fraud rings, they have been heavily 58 00:03:54,360 --> 00:03:58,800 Speaker 2: concentrated in the state's Somali community, But reviewing kind of 59 00:03:58,840 --> 00:04:03,160 Speaker 2: mainstream media cup or even statements from progressive politicians, it 60 00:04:03,240 --> 00:04:06,680 Speaker 2: just seemed like this was an inconvenient fact that no 61 00:04:06,720 --> 00:04:10,800 Speaker 2: one was either able or willing to confront. And so 62 00:04:10,840 --> 00:04:13,560 Speaker 2: those two elements of this piece struck me right away 63 00:04:14,040 --> 00:04:15,920 Speaker 2: and signaled to me that this was going to be 64 00:04:16,080 --> 00:04:18,080 Speaker 2: fertile ground for some investigative reporter. 65 00:04:18,760 --> 00:04:21,800 Speaker 1: How did you and Chris first discover the story? 66 00:04:22,800 --> 00:04:26,080 Speaker 2: I began by just going through press releases from the 67 00:04:26,279 --> 00:04:30,080 Speaker 2: US Attorney's Office. I'd been developing some sources in the state. 68 00:04:30,360 --> 00:04:32,520 Speaker 2: People had indicated to me that this was something that'd 69 00:04:32,560 --> 00:04:35,520 Speaker 2: be worthwhile to look into. I was told that state 70 00:04:35,640 --> 00:04:38,960 Speaker 2: level officials had really dragged their heels in confronting the program, 71 00:04:39,040 --> 00:04:41,159 Speaker 2: so that wouldn't be the place to begin. But I 72 00:04:41,200 --> 00:04:43,560 Speaker 2: simply went back over the past five years and I 73 00:04:43,600 --> 00:04:46,240 Speaker 2: wrote through every press release that had been issued by 74 00:04:46,279 --> 00:04:50,719 Speaker 2: the US Attorney's Office announcing indictments, and pretty quickly I 75 00:04:50,760 --> 00:04:53,560 Speaker 2: was able to establish a timeline in terms of charges 76 00:04:53,560 --> 00:04:56,320 Speaker 2: that have come down and allegations that the US Attorney's 77 00:04:56,320 --> 00:04:59,640 Speaker 2: Office has made against members of the Somoli community. And 78 00:04:59,680 --> 00:05:03,039 Speaker 2: then after that it really focused on developing additional sources. 79 00:05:03,080 --> 00:05:06,600 Speaker 2: So we started cold calling people associated with counter terrorism 80 00:05:06,680 --> 00:05:09,200 Speaker 2: with law enforcement, and we were able to develop a 81 00:05:09,279 --> 00:05:11,599 Speaker 2: number of people who were willing to speak to us, 82 00:05:11,680 --> 00:05:14,160 Speaker 2: who had looked into this, had a certain area of 83 00:05:14,200 --> 00:05:16,919 Speaker 2: expertise on this topic, and we're willing to feed us 84 00:05:16,920 --> 00:05:17,560 Speaker 2: some information. 85 00:05:18,240 --> 00:05:20,599 Speaker 1: Will you be adignianto, because you did have a US 86 00:05:20,680 --> 00:05:25,480 Speaker 1: attorney who has actually being pretty aggressive. The gap between 87 00:05:26,240 --> 00:05:29,440 Speaker 1: the public coverage and what he was uncovering, it seems 88 00:05:29,480 --> 00:05:32,159 Speaker 1: to me might be as big as anything I've ever seen. 89 00:05:32,800 --> 00:05:34,919 Speaker 1: Do you think if he had not been so aggressive 90 00:05:35,400 --> 00:05:37,440 Speaker 1: that they would never have found any of this? 91 00:05:38,720 --> 00:05:42,200 Speaker 2: It's certainly quite possible. So one thing I would say 92 00:05:42,240 --> 00:05:44,680 Speaker 2: is that there have been people, and I would say 93 00:05:44,720 --> 00:05:46,840 Speaker 2: people are kind of more associated with the political right 94 00:05:46,960 --> 00:05:48,640 Speaker 2: in the state of Minnesota, who have been trying to 95 00:05:48,640 --> 00:05:50,599 Speaker 2: do good work on this and have been doing good 96 00:05:50,600 --> 00:05:53,239 Speaker 2: work and trying to raise alarm bells, but it simply 97 00:05:53,520 --> 00:05:57,000 Speaker 2: wasn't punching through into kind of a more mainstream conversation 98 00:05:57,400 --> 00:06:00,000 Speaker 2: for a number of different reasons that given the fact 99 00:06:00,160 --> 00:06:04,320 Speaker 2: that the progressive political establishment, I would say, the mainstream 100 00:06:04,360 --> 00:06:07,080 Speaker 2: press corps was just simply from what I can tell, 101 00:06:07,120 --> 00:06:10,280 Speaker 2: turning a blind eye to this massive issue. If it 102 00:06:10,320 --> 00:06:13,120 Speaker 2: wasn't for the work of the US Attorney's Office breaking 103 00:06:13,240 --> 00:06:16,520 Speaker 2: up these fraud ranks, charging people and also coming out 104 00:06:16,680 --> 00:06:20,360 Speaker 2: at some press conferences with some really strong statements. I 105 00:06:20,400 --> 00:06:23,040 Speaker 2: think it would have been much easier for the establishment 106 00:06:23,080 --> 00:06:23,680 Speaker 2: to ignore this. 107 00:06:24,440 --> 00:06:27,760 Speaker 1: And as I said, even as the facts began to 108 00:06:27,800 --> 00:06:30,400 Speaker 1: come out about how much corruptions in bought, you have 109 00:06:30,839 --> 00:06:35,279 Speaker 1: people like Congresswoman Elen Omar, who was a s ollyborn congressman, 110 00:06:36,200 --> 00:06:39,080 Speaker 1: aggressively attacking the people who are trying to get to 111 00:06:39,160 --> 00:06:39,599 Speaker 1: the truth. 112 00:06:40,360 --> 00:06:43,520 Speaker 2: It's one hundred percent right, I would say. It's a 113 00:06:43,560 --> 00:06:46,520 Speaker 2: pattern that we've seen for a number of years now. 114 00:06:46,600 --> 00:06:50,200 Speaker 2: So off the top, you had mentioned defeeding our future scandal. Well, 115 00:06:50,240 --> 00:06:53,480 Speaker 2: when alarm bells were going off about that particular fraud ring, 116 00:06:53,880 --> 00:06:57,600 Speaker 2: the leaders responded by filing litigation against the state government 117 00:06:57,600 --> 00:07:00,599 Speaker 2: and alleging racial discrimination. And so that this is something 118 00:07:00,640 --> 00:07:03,960 Speaker 2: that we've seen here as a shield on multiple occasions, 119 00:07:04,000 --> 00:07:06,919 Speaker 2: and even now with the publication of our Peace and 120 00:07:06,960 --> 00:07:10,840 Speaker 2: City Journal, we've gotten attacks by people saying, wow, this 121 00:07:10,960 --> 00:07:13,440 Speaker 2: is racism. It's like well, first of all, the first 122 00:07:13,480 --> 00:07:15,920 Speaker 2: question is whether or not it's true, and if it's true, 123 00:07:15,920 --> 00:07:18,200 Speaker 2: then we need to confront the facts as they are 124 00:07:18,360 --> 00:07:20,240 Speaker 2: and begin to figure out what to do about it. 125 00:07:20,520 --> 00:07:22,840 Speaker 2: We continue to see that defense here. 126 00:07:23,040 --> 00:07:26,280 Speaker 1: In this first phase feeding our future. If I understand it, 127 00:07:27,200 --> 00:07:29,920 Speaker 1: Seventy eight people have been charged with fraud. Fifty of 128 00:07:29,960 --> 00:07:31,120 Speaker 1: them have already been convicted. 129 00:07:31,720 --> 00:07:34,680 Speaker 2: Yes, many have pled guilty because the evidence is overwhelming. 130 00:07:35,280 --> 00:07:38,280 Speaker 1: And they had apparently set up over two hundred and 131 00:07:38,280 --> 00:07:42,280 Speaker 1: fifteen off friction in sights within several dozen shell companies. 132 00:07:42,720 --> 00:07:44,800 Speaker 1: This was a real project. It was. 133 00:07:44,880 --> 00:07:49,520 Speaker 2: This was a sophisticated, coordinated network in Minneapolis, in the 134 00:07:49,520 --> 00:07:53,120 Speaker 2: state of Minnesota. It was heavily concentrated in the Somali community. 135 00:07:53,360 --> 00:07:56,080 Speaker 2: And look, they figured out, we can get our hands 136 00:07:56,120 --> 00:07:59,400 Speaker 2: on millions of tax dollars if we simply eat doctor 137 00:07:59,480 --> 00:08:02,400 Speaker 2: some paper work here, and if anyone starts asking questions, 138 00:08:02,600 --> 00:08:04,600 Speaker 2: we're going to accuse them of being bigots. And we're 139 00:08:04,600 --> 00:08:07,880 Speaker 2: also going to flex our political connections to various Democratic 140 00:08:07,880 --> 00:08:08,840 Speaker 2: officials in the state. 141 00:08:09,400 --> 00:08:12,240 Speaker 1: Frankly, the one I found the most fascinating was the 142 00:08:12,280 --> 00:08:17,880 Speaker 1: autism program, where they were actually paying parents a monthly 143 00:08:18,000 --> 00:08:20,880 Speaker 1: fee for the parents to claim that their child was 144 00:08:20,920 --> 00:08:26,280 Speaker 1: autistic when they're not. That's a pretty amazing deliberate effort 145 00:08:26,320 --> 00:08:27,400 Speaker 1: to rip off the government. 146 00:08:27,800 --> 00:08:30,480 Speaker 2: It is the other thing that I find quite noteworthy 147 00:08:30,520 --> 00:08:33,640 Speaker 2: about that particular case is we've seen some people say, 148 00:08:34,040 --> 00:08:37,000 Speaker 2: after this has been exposed, well it's a few bad apples. Well, 149 00:08:37,240 --> 00:08:40,000 Speaker 2: this autism fraud case, one indictment's come down. The US 150 00:08:40,040 --> 00:08:42,800 Speaker 2: Attorney's office says, we're scratching the surface that more charges 151 00:08:42,800 --> 00:08:46,520 Speaker 2: are coming, and it shows that this was a network 152 00:08:46,600 --> 00:08:50,160 Speaker 2: that extended out into the wider Somali community. They needed 153 00:08:50,240 --> 00:08:53,960 Speaker 2: parents on board with this scheme, and parents who you know, 154 00:08:54,080 --> 00:08:57,239 Speaker 2: may not have been ring leaders themselves were receiving kickbacks, 155 00:08:57,520 --> 00:09:00,560 Speaker 2: and prosecutors allege that the parents, if the kicks weren't 156 00:09:00,600 --> 00:09:04,280 Speaker 2: high enough, they said, well, there's so many fraudulent autism 157 00:09:04,480 --> 00:09:07,199 Speaker 2: providers in the smaller community. If you don't pay me more, 158 00:09:07,200 --> 00:09:09,719 Speaker 2: I'm gonna pull my kid from your fake program, take 159 00:09:09,760 --> 00:09:13,440 Speaker 2: them over to another fraudulent fake program, and they'll give 160 00:09:13,480 --> 00:09:15,720 Speaker 2: me more money. So they were using their leverage in 161 00:09:15,800 --> 00:09:19,280 Speaker 2: order to get a greater share of the stolen tax dollars. 162 00:09:19,800 --> 00:09:23,120 Speaker 1: So you had a competitive fraud market. 163 00:09:23,760 --> 00:09:25,880 Speaker 2: Yes, yes, that's exactly right. 164 00:09:26,280 --> 00:09:28,320 Speaker 1: You know, it's one of thom you think about a 165 00:09:28,400 --> 00:09:31,480 Speaker 1: couple of people who happen to be doing fraud, But 166 00:09:31,559 --> 00:09:34,680 Speaker 1: this is a real machine. Yes, there was a period 167 00:09:34,760 --> 00:09:39,040 Speaker 1: where during COVID where there's I think two billion dollars 168 00:09:39,640 --> 00:09:46,800 Speaker 1: stolen by identity theft by California criminals in prison using 169 00:09:46,840 --> 00:09:52,040 Speaker 1: the State of California's computer programs to go out and 170 00:09:52,120 --> 00:09:55,679 Speaker 1: file false claims and then have friends on the outside 171 00:09:55,920 --> 00:09:58,000 Speaker 1: picking up the checks, and I think it came to 172 00:09:58,040 --> 00:10:03,240 Speaker 1: two billion dollars. Se people really underestimate how much fraud 173 00:10:03,320 --> 00:10:05,760 Speaker 1: is going on in the United States in general. 174 00:10:06,360 --> 00:10:10,839 Speaker 2: I think that's true. The situation in Minnesota seems quite bad. 175 00:10:11,040 --> 00:10:14,320 Speaker 2: Where it stacks up nationally, well, that's very difficult to say. 176 00:10:14,520 --> 00:10:16,600 Speaker 2: The reality is, we don't even know the true dollar 177 00:10:16,640 --> 00:10:18,920 Speaker 2: figure in the state of Minnesota. From what I'm hearing, 178 00:10:19,040 --> 00:10:21,400 Speaker 2: it's very safe to say billions of dollars. But final 179 00:10:21,440 --> 00:10:24,400 Speaker 2: price take i'm sure of at this point. But what 180 00:10:24,440 --> 00:10:28,600 Speaker 2: these schemes do reveal is that if someone is motivated 181 00:10:28,720 --> 00:10:30,839 Speaker 2: and has a little bit of know how, it doesn't 182 00:10:30,840 --> 00:10:34,000 Speaker 2: appear to be that difficult to walk away with hundreds 183 00:10:34,000 --> 00:10:37,200 Speaker 2: of millions of stolen tax dollars because it keeps cropping 184 00:10:37,320 --> 00:10:38,079 Speaker 2: up in that state. 185 00:10:54,400 --> 00:10:56,840 Speaker 1: Well, if you look at it, the Fear Our Future 186 00:10:56,880 --> 00:11:02,720 Speaker 1: program jumped from point four million in federal money in 187 00:11:02,720 --> 00:11:08,320 Speaker 1: twenty nineteen two two hundred million two years later, in 188 00:11:08,320 --> 00:11:11,240 Speaker 1: twenty twenty one. Now, you had thought somebody would have 189 00:11:11,240 --> 00:11:15,920 Speaker 1: looked and said, with that scale of growth, something's happening 190 00:11:16,320 --> 00:11:19,120 Speaker 1: that we need to really dig into. But apparently it 191 00:11:19,200 --> 00:11:19,760 Speaker 1: is ignored it. 192 00:11:20,200 --> 00:11:22,920 Speaker 2: I think that's spot on. I think they did look 193 00:11:23,080 --> 00:11:25,560 Speaker 2: the other way, and I think that's a consistent pattern 194 00:11:25,600 --> 00:11:28,600 Speaker 2: we see here in regards to all of these fraud scams. 195 00:11:29,040 --> 00:11:33,319 Speaker 2: You see expenditures skyrocket over a very short number of years, 196 00:11:33,320 --> 00:11:36,480 Speaker 2: which should be setting off, you know, major alarm bells 197 00:11:36,520 --> 00:11:38,600 Speaker 2: for the people who are responsible for keeping an eye 198 00:11:38,640 --> 00:11:43,400 Speaker 2: on the public purse and overseeing and administering these welfare programs. 199 00:11:43,440 --> 00:11:46,040 Speaker 2: But they did not crack down on this. It was 200 00:11:46,040 --> 00:11:49,079 Speaker 2: allowed to fester. I also think you mentioned the COVID nineteen. 201 00:11:49,520 --> 00:11:52,400 Speaker 2: I think that's a very important moment here. I think 202 00:11:52,400 --> 00:11:56,520 Speaker 2: that these issues predate COVID in the state of Minnesota. 203 00:11:56,559 --> 00:11:59,559 Speaker 2: But we're allowed to fester, and then you get COVID, 204 00:11:59,679 --> 00:12:01,720 Speaker 2: you have more money going up the door than ever. 205 00:12:02,040 --> 00:12:05,240 Speaker 2: You have progressive politicians saying, well, this is an emergency. 206 00:12:05,320 --> 00:12:07,360 Speaker 2: We can't worry about checks and balances right now. We 207 00:12:07,400 --> 00:12:09,440 Speaker 2: simply need to get money into the hands of people 208 00:12:09,440 --> 00:12:12,000 Speaker 2: who need it. And so because this problem had been 209 00:12:12,040 --> 00:12:16,120 Speaker 2: allowed to fester before then it just accelerates during the pandemic. 210 00:12:16,920 --> 00:12:19,880 Speaker 1: Ryan, Isn't it true that there've been a very large 211 00:12:19,960 --> 00:12:25,800 Speaker 1: number of potential whistle blowers who have complained publicly that 212 00:12:26,200 --> 00:12:29,240 Speaker 1: the Minnesota government in fact knew about this and did 213 00:12:29,280 --> 00:12:32,960 Speaker 1: nothing about it, but that in fact it clearly was 214 00:12:33,000 --> 00:12:36,679 Speaker 1: there and it clearly was being ignored or covered up 215 00:12:37,080 --> 00:12:41,160 Speaker 1: by Tim Watson's administration. Hasn't that been an allegation by 216 00:12:41,160 --> 00:12:43,280 Speaker 1: people who actually are in the bureaucracy. 217 00:12:43,880 --> 00:12:48,120 Speaker 2: Yes, so there is a significant minority. I would say, 218 00:12:48,120 --> 00:12:51,680 Speaker 2: we're talking hundreds of employees within DHS in the state 219 00:12:51,720 --> 00:12:55,160 Speaker 2: of Minnesota who have been trying to raise concerns for 220 00:12:55,200 --> 00:12:58,760 Speaker 2: a number of years now. They've taken to various social 221 00:12:58,800 --> 00:13:03,280 Speaker 2: media platforms to publish allegations against the government. And what 222 00:13:03,400 --> 00:13:05,440 Speaker 2: they allege is that we've been trying to clean up 223 00:13:05,480 --> 00:13:09,240 Speaker 2: the fraud and to expose the fraud internally within the 224 00:13:09,280 --> 00:13:12,520 Speaker 2: state government for a very long time, but that political 225 00:13:12,520 --> 00:13:16,800 Speaker 2: officials have been turning a blind eye and also retaliating 226 00:13:17,080 --> 00:13:20,880 Speaker 2: against them. And then one other thing that's somewhat related 227 00:13:20,920 --> 00:13:24,080 Speaker 2: that comes to mind is that during the Feeding our 228 00:13:24,120 --> 00:13:28,640 Speaker 2: Future scam, there were concerns raised among bureaucrats by just 229 00:13:28,880 --> 00:13:32,600 Speaker 2: how rapidly this nonprofit was expanding, both in terms of 230 00:13:32,600 --> 00:13:35,240 Speaker 2: the sites that it was administering and the total amount 231 00:13:35,360 --> 00:13:39,640 Speaker 2: of taxpayer dollars it was therefore getting access to. And 232 00:13:40,080 --> 00:13:41,920 Speaker 2: the ring leaders of this fraud ring, you know, they 233 00:13:41,920 --> 00:13:45,360 Speaker 2: made public allegations of racism, They coordinated protests. They also 234 00:13:45,400 --> 00:13:49,199 Speaker 2: filed a lawsuit ledging racial discrimination against the state government. 235 00:13:49,520 --> 00:13:53,280 Speaker 2: And subsequently we've had an oversight report that was actually 236 00:13:53,280 --> 00:13:56,719 Speaker 2: published not too long ago that looked into that and 237 00:13:57,040 --> 00:13:59,880 Speaker 2: was able to get access to, you know, internal correspondence, 238 00:14:00,120 --> 00:14:04,040 Speaker 2: and it proved that the response from the state government, 239 00:14:04,120 --> 00:14:06,480 Speaker 2: given the kind of social context they were in at 240 00:14:06,480 --> 00:14:10,400 Speaker 2: that time, their response was impacted by worries about being 241 00:14:10,480 --> 00:14:12,680 Speaker 2: seen as racist if they were to crack down on 242 00:14:12,720 --> 00:14:17,920 Speaker 2: this fraud given the identities and nationalities of the perpetrators. 243 00:14:18,440 --> 00:14:21,320 Speaker 1: How much of this, sooner or later it comes to 244 00:14:22,040 --> 00:14:28,040 Speaker 1: Governor Tim Watson's administration, How much responsibility ultimately this his 245 00:14:28,120 --> 00:14:32,840 Speaker 1: administration there for allowing a billion dollars in fraud. 246 00:14:33,640 --> 00:14:36,600 Speaker 2: Well, I mean, he's the governor. Most people who were 247 00:14:36,600 --> 00:14:39,320 Speaker 2: in that position would probably admit in their honest moments, 248 00:14:39,360 --> 00:14:41,640 Speaker 2: like the buck stocks with me. They are the people 249 00:14:41,640 --> 00:14:46,040 Speaker 2: who overseeing these programs. This has all happened on their watch. 250 00:14:46,400 --> 00:14:48,920 Speaker 2: And I've spoken to a number of counter terrorism law 251 00:14:49,000 --> 00:14:51,800 Speaker 2: enforcement folks who say, look, there is a law enforcement 252 00:14:51,880 --> 00:14:54,880 Speaker 2: solution here. We need to keep doing investigations, we need 253 00:14:54,920 --> 00:14:57,000 Speaker 2: to keep bringing charges. But at the end of the day, 254 00:14:57,000 --> 00:14:59,240 Speaker 2: there was so much fraud that like, there needs to 255 00:14:59,320 --> 00:15:01,360 Speaker 2: be a change on the policy side of things. We 256 00:15:01,400 --> 00:15:03,320 Speaker 2: have to stem the tide of this and not just 257 00:15:03,440 --> 00:15:06,320 Speaker 2: expect law enforcement to clean it all up after the fact. 258 00:15:06,680 --> 00:15:09,000 Speaker 2: And so if there's going to be a significant change 259 00:15:09,040 --> 00:15:12,280 Speaker 2: on the policy side, I think that comes from political change, 260 00:15:12,320 --> 00:15:14,840 Speaker 2: which means Minnesotans are going to have to decide at 261 00:15:14,840 --> 00:15:17,720 Speaker 2: the ballot box whether or not they're okay with what's 262 00:15:17,760 --> 00:15:21,440 Speaker 2: been going on, because they should be absolutely outraged at 263 00:15:21,440 --> 00:15:23,400 Speaker 2: the extent to which they've been taken advantage of. 264 00:15:24,080 --> 00:15:28,000 Speaker 1: There's an example of a systemic problem. You described the 265 00:15:28,080 --> 00:15:34,560 Speaker 1: Housing Stabilization Services program as quote almost designed to facilitate fraud. 266 00:15:35,040 --> 00:15:39,320 Speaker 1: What were the things in the program structure that made 267 00:15:39,360 --> 00:15:40,880 Speaker 1: it so vulnerable to abuse? 268 00:15:41,680 --> 00:15:46,560 Speaker 2: They specifically designed it to have very loose criteria in 269 00:15:46,640 --> 00:15:49,120 Speaker 2: terms of people that it would apply to and they 270 00:15:49,160 --> 00:15:54,920 Speaker 2: wanted against specifically low barriers for reimbursements. So when you 271 00:15:55,040 --> 00:15:57,240 Speaker 2: write the rules in such a way as you're trying 272 00:15:57,280 --> 00:16:00,520 Speaker 2: to make this program accessible to as why of a 273 00:16:00,600 --> 00:16:03,720 Speaker 2: number of people as possible, and you also are putting 274 00:16:03,840 --> 00:16:07,160 Speaker 2: in very minimal requirements in terms of how they get 275 00:16:07,240 --> 00:16:10,680 Speaker 2: money released to them, and then you launch this program 276 00:16:10,720 --> 00:16:13,520 Speaker 2: in the context of which you already know you have 277 00:16:13,560 --> 00:16:17,320 Speaker 2: a significant fraud problem in the state, it is unsurprising 278 00:16:17,480 --> 00:16:21,840 Speaker 2: that pretty quickly costs skyrocket the program spiers outder control. 279 00:16:22,080 --> 00:16:24,280 Speaker 2: US attorney comes out and says, I think there's more 280 00:16:24,320 --> 00:16:27,240 Speaker 2: fraud going on here than there is legitimate services, and 281 00:16:27,280 --> 00:16:29,720 Speaker 2: then the government has to come in and shut the 282 00:16:29,760 --> 00:16:30,440 Speaker 2: whole thing down. 283 00:16:30,960 --> 00:16:33,480 Speaker 1: To what a scent. Are the same people involved in 284 00:16:33,520 --> 00:16:34,960 Speaker 1: all three So. 285 00:16:35,560 --> 00:16:39,560 Speaker 2: The individual charged in the autism fraud, she was also 286 00:16:39,840 --> 00:16:45,000 Speaker 2: indicted in the Feeding our Future scam. These are overlapping networks, 287 00:16:45,040 --> 00:16:47,600 Speaker 2: is how I've heard it describe. So there are people 288 00:16:47,680 --> 00:16:52,000 Speaker 2: who have gotten in on multiple of these grifts. Now, 289 00:16:52,120 --> 00:16:54,600 Speaker 2: the other thing I think that's important to note is 290 00:16:54,640 --> 00:16:57,600 Speaker 2: that these are the three major fraud rings exposed to day. 291 00:16:58,400 --> 00:17:00,840 Speaker 2: From what I'm hearing, this is the up at the Iceberg. 292 00:17:01,240 --> 00:17:03,680 Speaker 2: They have had a lack of resources, even though the 293 00:17:03,760 --> 00:17:05,800 Speaker 2: US Attorney's Office has been doing really great work. I 294 00:17:05,840 --> 00:17:08,320 Speaker 2: don't think that they've had the resources they need in 295 00:17:08,400 --> 00:17:10,840 Speaker 2: order to get to the bottom of this. So I 296 00:17:10,880 --> 00:17:16,480 Speaker 2: think we'll see additional connections grow as more prosecutions come down. 297 00:17:16,840 --> 00:17:19,720 Speaker 1: When you start talking at a billion dollars, it's set 298 00:17:19,840 --> 00:17:23,239 Speaker 1: like a gigantic ball and we're only now on the 299 00:17:23,280 --> 00:17:28,120 Speaker 1: surface of the ball. We don't fully understand the scale 300 00:17:28,280 --> 00:17:32,080 Speaker 1: and just the handling of a billion dollars. There have 301 00:17:32,119 --> 00:17:34,880 Speaker 1: to be so many different people who have been violenting 302 00:17:34,920 --> 00:17:39,600 Speaker 1: the law and methodically seeking to cheat the tax players 303 00:17:39,600 --> 00:17:42,159 Speaker 1: and frankly to cheat the poor. I mean, this is 304 00:17:42,240 --> 00:17:44,240 Speaker 1: money that was supposed to go directly to the poor. 305 00:17:44,880 --> 00:17:48,879 Speaker 2: That's absolutely right. Say whether or not you support in 306 00:17:48,960 --> 00:17:50,919 Speaker 2: terms of welfare program should be you know, we can 307 00:17:50,960 --> 00:17:53,960 Speaker 2: have a policy debate about that, but regardless, these programs 308 00:17:54,000 --> 00:17:56,160 Speaker 2: were in some sense designed to try and help people 309 00:17:56,200 --> 00:17:59,080 Speaker 2: who had some serious needs. And when you steal money 310 00:17:59,160 --> 00:18:02,920 Speaker 2: for auto and services, that means actual autistic children are 311 00:18:02,960 --> 00:18:04,440 Speaker 2: not getting support. 312 00:18:05,040 --> 00:18:07,919 Speaker 1: Essentially, have three things of money being taken away from 313 00:18:07,920 --> 00:18:11,679 Speaker 1: the taxpayers, children and other people who should be getting 314 00:18:11,680 --> 00:18:16,440 Speaker 1: money not getting it, and the growth of a sort 315 00:18:16,480 --> 00:18:19,840 Speaker 1: of gray economy of people who are really good at stealing. 316 00:18:20,160 --> 00:18:21,400 Speaker 2: I think that's absolutely right. 317 00:18:21,760 --> 00:18:23,600 Speaker 1: It has a little of the flavor of the mafia 318 00:18:23,640 --> 00:18:27,720 Speaker 1: in Sicily, where you begin to have a culture of criminality. 319 00:18:28,600 --> 00:18:29,119 Speaker 2: Certainly. 320 00:18:29,280 --> 00:18:33,439 Speaker 1: Yeah. I think one of the sub stories here is 321 00:18:33,520 --> 00:18:38,200 Speaker 1: the number of people from Somalia who now live in 322 00:18:38,240 --> 00:18:42,560 Speaker 1: Minneapolis and the role they play in politics. Could you 323 00:18:42,600 --> 00:18:46,200 Speaker 1: describe their impact on the politics of the state of Minnesota. 324 00:18:46,760 --> 00:18:51,840 Speaker 2: Absolutely so. Minnesota is home to the largest concentration of 325 00:18:52,119 --> 00:18:56,840 Speaker 2: Somali's outside of Somalia itself. They began arriving in the 326 00:18:56,880 --> 00:19:00,800 Speaker 2: state in large numbers in the nineteen nineties. At this point, 327 00:19:00,840 --> 00:19:02,920 Speaker 2: you know, I've seen estimates kind of on the low 328 00:19:03,040 --> 00:19:06,159 Speaker 2: end eighty thousand, some people indicating perhaps upward of one 329 00:19:06,240 --> 00:19:09,840 Speaker 2: hundred thousand. But this is a very sizeable voting block 330 00:19:10,440 --> 00:19:12,480 Speaker 2: in the state. And the other thing I would say 331 00:19:12,520 --> 00:19:17,119 Speaker 2: is that they've really established some strong political connections in 332 00:19:17,400 --> 00:19:20,640 Speaker 2: the state. So even looking at the Feeding our Future 333 00:19:20,920 --> 00:19:25,320 Speaker 2: scam in particular, several individuals who were involved and indicted 334 00:19:25,600 --> 00:19:30,000 Speaker 2: had donated to elin Omar or appeared with her publicly. 335 00:19:30,400 --> 00:19:34,919 Speaker 2: Omar's deputy district director had advocated on behalf of the 336 00:19:34,960 --> 00:19:38,399 Speaker 2: frauding Omar Fata, who's a former state senator or recently 337 00:19:38,440 --> 00:19:42,000 Speaker 2: ran for mayor of Minneapolis and finished second. He had 338 00:19:42,000 --> 00:19:45,800 Speaker 2: gotten involved with lobbying on behalf of the program, and 339 00:19:45,840 --> 00:19:49,840 Speaker 2: one of the indicted was a senior aid to Minneapolis 340 00:19:49,840 --> 00:19:53,960 Speaker 2: Mayor Jacob Fry. And so what that demonstrates is they 341 00:19:54,000 --> 00:19:58,199 Speaker 2: really have established significant political connections. And the sources that 342 00:19:58,240 --> 00:20:01,159 Speaker 2: I've spoken to in the state have indicated that, especially 343 00:20:01,200 --> 00:20:04,680 Speaker 2: if you're a Democrat, alienating the Smally community, you run 344 00:20:04,720 --> 00:20:07,000 Speaker 2: that risk at your own peril because they are a 345 00:20:07,040 --> 00:20:11,560 Speaker 2: significant voting block in Minneapolis, and in order to carry 346 00:20:11,560 --> 00:20:29,720 Speaker 2: the state, you have to do well in the capital city. 347 00:20:30,840 --> 00:20:35,080 Speaker 1: I noticed that four Republican Congressmen from the state had 348 00:20:35,080 --> 00:20:37,959 Speaker 1: written a pretty strong letter tom Ember, of course, as 349 00:20:38,000 --> 00:20:41,080 Speaker 1: the Republican whip, which is the third highest position in 350 00:20:41,080 --> 00:20:44,320 Speaker 1: the House on the Republican side, and they say in 351 00:20:44,359 --> 00:20:47,879 Speaker 1: their letter to the US Attorney quote, as you know, 352 00:20:48,040 --> 00:20:52,359 Speaker 1: officials estimate a billion dollars have instolen under the waltsh 353 00:20:52,359 --> 00:20:56,880 Speaker 1: administration since twenty twenty. We have written the walts administration 354 00:20:57,400 --> 00:21:02,080 Speaker 1: on numerous occasions inquiring about the feeding our future fraud scheme, 355 00:21:02,480 --> 00:21:06,600 Speaker 1: as well as fraud in the housing Stabilization Services Program, 356 00:21:06,920 --> 00:21:12,920 Speaker 1: childcare Assistance program, and Minnesota's early intensive developmental and behavioral 357 00:21:13,000 --> 00:21:16,720 Speaker 1: intervention program with no avail. Recently, it has come to 358 00:21:16,760 --> 00:21:20,800 Speaker 1: our attention, quote, millions of dollars in stolen funds have 359 00:21:20,880 --> 00:21:24,520 Speaker 1: been sent back to Somalia, where they ultimately landed in 360 00:21:24,600 --> 00:21:28,200 Speaker 1: the hands of the terror group how Shabab. We are 361 00:21:28,280 --> 00:21:31,760 Speaker 1: deeply disturbed by these reports. What is your sense and 362 00:21:31,800 --> 00:21:34,359 Speaker 1: what are your sources tell you about the degree to 363 00:21:34,440 --> 00:21:39,080 Speaker 1: which terrorist groups in Somalia were actually able to attract 364 00:21:39,119 --> 00:21:42,440 Speaker 1: and to use American taxpayer money. 365 00:21:42,640 --> 00:21:45,040 Speaker 2: Yes, so I want to be clear here on the 366 00:21:45,080 --> 00:21:47,520 Speaker 2: claim that we were making in the piece, because some 367 00:21:47,560 --> 00:21:52,239 Speaker 2: people have misinterpreted it. Our argument is that after we 368 00:21:52,359 --> 00:21:54,040 Speaker 2: realized the scope of the fraud in the state of 369 00:21:54,080 --> 00:21:56,760 Speaker 2: Minnesota pretty quickly, one of the first questions you'll have 370 00:21:56,800 --> 00:21:58,840 Speaker 2: is said, like, okay, well, where's the money going? And 371 00:21:58,840 --> 00:22:01,399 Speaker 2: it can be tracked to various sources. Sometimes people are 372 00:22:01,480 --> 00:22:05,160 Speaker 2: enriching themselves, as mentioned, using it to purchase luxury vehicles, 373 00:22:05,280 --> 00:22:08,680 Speaker 2: real estate, things of that nature. Significant funds are also 374 00:22:08,720 --> 00:22:12,800 Speaker 2: being sent back to Somalia to support family members. Minnesota 375 00:22:12,880 --> 00:22:17,040 Speaker 2: is the largest concentration of Somali's outside of Somalia itself, 376 00:22:17,480 --> 00:22:21,919 Speaker 2: and that is a diaspora that sends significant funds back home. 377 00:22:22,320 --> 00:22:27,120 Speaker 2: We develop numerous law enforcement and chunter terrorism sources, one 378 00:22:27,119 --> 00:22:30,760 Speaker 2: individual in particular, it's served on the JTTTF in Minneapolis 379 00:22:30,800 --> 00:22:34,800 Speaker 2: for many years, and what these sources confirmed to us 380 00:22:34,880 --> 00:22:38,080 Speaker 2: was that as this money is getting sent back to Somalia, 381 00:22:38,119 --> 00:22:40,879 Speaker 2: it is primarily going through whole wala networks, which are 382 00:22:40,920 --> 00:22:45,359 Speaker 2: informal money transfer networks that are prominent in Islamic countries 383 00:22:45,440 --> 00:22:48,480 Speaker 2: and countries that don't have traditional banking sectors like we 384 00:22:48,520 --> 00:22:53,119 Speaker 2: would see here in the West, and that because al Shabab, 385 00:22:53,160 --> 00:22:57,280 Speaker 2: the al Qaeda affiliate, controls significant chunks of Somalia, when 386 00:22:57,359 --> 00:22:59,800 Speaker 2: money is ending up in its territory, when it's going 387 00:22:59,800 --> 00:23:03,600 Speaker 2: through money transfer networks in its territory, it is absolutely 388 00:23:03,640 --> 00:23:07,639 Speaker 2: getting a cut of that money. So our claim is 389 00:23:07,680 --> 00:23:11,200 Speaker 2: not that these fraud rings were specifically ripping off American 390 00:23:11,280 --> 00:23:14,760 Speaker 2: taxpayers in order to fundraise for Al Schibal, but that 391 00:23:14,960 --> 00:23:19,400 Speaker 2: inadvertently tons of this money has ended up in their coffers, 392 00:23:19,520 --> 00:23:23,399 Speaker 2: which is obviously a serious problem and it has national 393 00:23:23,440 --> 00:23:24,840 Speaker 2: security implications as well. 394 00:23:25,720 --> 00:23:32,160 Speaker 1: Don't these historically traditional but very very private banking networks 395 00:23:32,280 --> 00:23:36,879 Speaker 1: essentially make it impossible to apply the normal patterns we 396 00:23:37,040 --> 00:23:39,960 Speaker 1: use with traditional banking to try to trace money. 397 00:23:40,359 --> 00:23:44,520 Speaker 2: That's absolutely correct, And the investigators that we've spoken to 398 00:23:44,680 --> 00:23:47,439 Speaker 2: have indicated to us that one, this is something that 399 00:23:47,480 --> 00:23:49,919 Speaker 2: we know is going on, but two, in terms of 400 00:23:49,960 --> 00:23:53,280 Speaker 2: bringing a criminal indictment in regards to this behavior, it 401 00:23:53,359 --> 00:23:57,200 Speaker 2: is extremely difficult. And so these are in some sense, 402 00:23:57,240 --> 00:24:00,440 Speaker 2: you know, dark money networks. It becomes very difficult trace 403 00:24:00,600 --> 00:24:04,119 Speaker 2: exactly where these funds are going. 404 00:24:05,119 --> 00:24:07,639 Speaker 1: Well in that sense, do we need a new law 405 00:24:08,200 --> 00:24:14,199 Speaker 1: that applies the same money tracking capabilities to these networks 406 00:24:14,600 --> 00:24:16,320 Speaker 1: that we apply to American banks. 407 00:24:16,920 --> 00:24:20,160 Speaker 2: I think that this is yet another problem that this 408 00:24:20,400 --> 00:24:23,320 Speaker 2: story exposes where we do need to kind of go 409 00:24:23,400 --> 00:24:26,479 Speaker 2: back to the drawing board from a policy standpoint and 410 00:24:26,520 --> 00:24:29,200 Speaker 2: try to come up with a solution of that nature, 411 00:24:29,440 --> 00:24:32,120 Speaker 2: because yet again, this is a situation where, at least 412 00:24:32,200 --> 00:24:36,240 Speaker 2: from the criminal investigators that I'm speaking to, their saying, 413 00:24:36,440 --> 00:24:38,840 Speaker 2: you know, our hands are somewhat tied on this issue. 414 00:24:39,040 --> 00:24:41,840 Speaker 1: And I think that's because we currently don't have any 415 00:24:41,920 --> 00:24:46,000 Speaker 1: law which requires these groups to conform to any kind 416 00:24:46,000 --> 00:24:50,199 Speaker 1: of reporting they're historically by definition secret. It becomes a 417 00:24:50,240 --> 00:24:53,959 Speaker 1: real cultural fight to suggest that we have an overriding interest. 418 00:24:54,720 --> 00:24:57,520 Speaker 1: I was fascinated by the story in part because I'm 419 00:24:57,560 --> 00:25:05,080 Speaker 1: working on a general problem position that bureaucratic, big government 420 00:25:05,160 --> 00:25:12,200 Speaker 1: socialism simply has a massive propensity towards corruption, whether it's 421 00:25:12,200 --> 00:25:16,960 Speaker 1: in Chicago, Minneapolis, New York, the entire emergence for a 422 00:25:17,000 --> 00:25:21,560 Speaker 1: while of the green industries, where the US governments passing 423 00:25:21,560 --> 00:25:25,000 Speaker 1: out money to people who would then magically go bankrupt 424 00:25:25,280 --> 00:25:27,840 Speaker 1: having got the money. One of the books I've been 425 00:25:27,880 --> 00:25:33,119 Speaker 1: really touting is by Chris Papst called The Failure Factories, 426 00:25:33,480 --> 00:25:38,280 Speaker 1: which is a study of the Baltimore City schools in 427 00:25:38,320 --> 00:25:42,680 Speaker 1: which at least forty percent of the students cannot read 428 00:25:42,720 --> 00:25:46,840 Speaker 1: or write when they graduate. It's the third most expensive 429 00:25:47,640 --> 00:25:50,080 Speaker 1: school system in the country. When I read it, it 430 00:25:50,160 --> 00:25:53,920 Speaker 1: hit me that, in a very real sense, if you 431 00:25:53,960 --> 00:25:58,679 Speaker 1: have a large school system certifying that, for example, a 432 00:25:58,720 --> 00:26:01,480 Speaker 1: student has been in class, when in fact they'd never 433 00:26:01,520 --> 00:26:03,880 Speaker 1: been in class. They had some students who they interviewed 434 00:26:04,320 --> 00:26:08,439 Speaker 1: who had never ever gone to class, but we're counted 435 00:26:08,440 --> 00:26:12,520 Speaker 1: on the rolls for the purpose of getting money. That's fraud. 436 00:26:13,280 --> 00:26:17,760 Speaker 1: It's really parallel to the Minneapolis situation. It turns out 437 00:26:17,800 --> 00:26:22,520 Speaker 1: we have a really really bright young assistant named Derek, 438 00:26:22,560 --> 00:26:26,360 Speaker 1: and Derek has taken on Chris's assignment and has done 439 00:26:26,400 --> 00:26:31,800 Speaker 1: an initial, very surface level look at New York, Chicago, 440 00:26:32,480 --> 00:26:37,639 Speaker 1: Los Angeles, Indianapolis, Minneapolis, and Saint Paul, and again and 441 00:26:37,680 --> 00:26:43,320 Speaker 1: again you'll have very expensive bureaucracies that are simply not delivering. 442 00:26:44,400 --> 00:26:47,280 Speaker 1: And their conclusion, this was part of what perhaps finally 443 00:26:47,320 --> 00:26:51,879 Speaker 1: decided after eight years of work, that the systems have 444 00:26:52,000 --> 00:26:55,439 Speaker 1: concluded they can't actually teach, but they can lie about it, 445 00:26:56,560 --> 00:26:59,280 Speaker 1: and so if they methodically lie about it, they'll get 446 00:26:59,320 --> 00:27:01,240 Speaker 1: paid as though they were teaching. 447 00:27:01,760 --> 00:27:05,400 Speaker 2: Absolutely, and you're right to point out the parallels in Minnesota. 448 00:27:05,880 --> 00:27:08,440 Speaker 2: I mean, hungry children aren't actually getting fed, but look 449 00:27:08,520 --> 00:27:11,200 Speaker 2: on paper, you know, it's thousands that are getting fed, 450 00:27:11,280 --> 00:27:13,800 Speaker 2: and we're spending all this money, so of course we're 451 00:27:13,800 --> 00:27:18,160 Speaker 2: accomplishing something. Same with autism, Same with the Housing Stabilization 452 00:27:18,359 --> 00:27:22,000 Speaker 2: Services program, which was aiming to get the elderly, the 453 00:27:22,040 --> 00:27:25,520 Speaker 2: mentally ill, people with addictions into housing. Well, none of 454 00:27:25,520 --> 00:27:29,119 Speaker 2: this was happening, but on paper, it seemed like everything 455 00:27:29,160 --> 00:27:31,159 Speaker 2: was running smoothly. And that's similar to kind of what 456 00:27:31,200 --> 00:27:33,840 Speaker 2: you're pointing out in regards to Baltimore. There, well, on paper, 457 00:27:33,880 --> 00:27:35,720 Speaker 2: all these children are getting educated. 458 00:27:36,320 --> 00:27:39,480 Speaker 1: I think that the Office of Management Budget should be 459 00:27:39,560 --> 00:27:43,199 Speaker 1: directing all of the federal agencies that are involved in 460 00:27:43,240 --> 00:27:46,640 Speaker 1: giving out money to do this kind of forensic analysis 461 00:27:46,960 --> 00:27:49,399 Speaker 1: to decide whether or not, in fact, we're paying for 462 00:27:49,480 --> 00:27:53,080 Speaker 1: an amazing amount of dishonesty and theft and corruption. I'm 463 00:27:53,119 --> 00:27:55,240 Speaker 1: curious where do you go from here? You mean, you've 464 00:27:55,520 --> 00:27:58,520 Speaker 1: sort of scratched the surface of what may be the 465 00:27:58,560 --> 00:28:03,399 Speaker 1: biggest corruption and fraud story in American history. And I 466 00:28:03,440 --> 00:28:07,080 Speaker 1: know this is part of your general interest nationally in 467 00:28:07,119 --> 00:28:09,200 Speaker 1: the topic where do you guys go from here? 468 00:28:10,119 --> 00:28:13,840 Speaker 2: I think that there are still some unanswered questions on 469 00:28:13,880 --> 00:28:16,399 Speaker 2: the ground in Minnesota. You know, I had done some 470 00:28:16,560 --> 00:28:19,520 Speaker 2: on the ground reporting in the state for this story. 471 00:28:19,680 --> 00:28:22,040 Speaker 2: Perhaps I will be back at some point in the 472 00:28:22,520 --> 00:28:26,280 Speaker 2: near future. I mean, in particular, I think the main 473 00:28:26,600 --> 00:28:29,560 Speaker 2: kind of unanswered question in Minnesota at this point is 474 00:28:29,600 --> 00:28:31,600 Speaker 2: how was this allowed to go on for so long? 475 00:28:31,760 --> 00:28:32,240 Speaker 1: We have some. 476 00:28:32,359 --> 00:28:35,080 Speaker 2: Idea, we have some insight into that, but I do 477 00:28:35,119 --> 00:28:37,840 Speaker 2: think that there are some serious unanswered questions there, and 478 00:28:37,880 --> 00:28:40,480 Speaker 2: there needs to be a real accounting of when were 479 00:28:40,480 --> 00:28:43,800 Speaker 2: the alarm bells first raised, when did various government officials 480 00:28:43,840 --> 00:28:46,360 Speaker 2: become aware that they had a problem, what steps were 481 00:28:46,400 --> 00:28:48,840 Speaker 2: taken to address it. So I think that there's more 482 00:28:48,880 --> 00:28:53,280 Speaker 2: to push on there. I also think that Minnesota is 483 00:28:53,680 --> 00:28:56,080 Speaker 2: it's highly unlikely that's the only state in the Union 484 00:28:56,320 --> 00:28:59,600 Speaker 2: that is dealing with a problem like this, and so 485 00:28:59,720 --> 00:29:02,200 Speaker 2: I be interested in doing some digging into whether or 486 00:29:02,280 --> 00:29:06,560 Speaker 2: not there are similar patterns emerging in other jurisdictions, and 487 00:29:06,680 --> 00:29:09,480 Speaker 2: we perhaps might be able to take what we've learned 488 00:29:09,880 --> 00:29:12,800 Speaker 2: in Minnesota and apply it in some other areas and 489 00:29:12,880 --> 00:29:15,000 Speaker 2: compare what's going on in different places. 490 00:29:15,920 --> 00:29:17,959 Speaker 1: Well, I think in that sense, you can be an 491 00:29:18,080 --> 00:29:22,120 Speaker 1: enormous asset and setting up for the federal government kind 492 00:29:22,120 --> 00:29:25,479 Speaker 1: of a framework for what you look for and what 493 00:29:25,600 --> 00:29:29,000 Speaker 1: questions you ask. And I have a hunch that we 494 00:29:29,080 --> 00:29:33,200 Speaker 1: will be astounded at the amount of total corruption and 495 00:29:33,240 --> 00:29:37,640 Speaker 1: fraud that we discover, certainly in Medicare and medicaid, but 496 00:29:37,840 --> 00:29:42,760 Speaker 1: again in housing programs and the various green programs, being 497 00:29:42,760 --> 00:29:46,080 Speaker 1: a number of people who got money and the worthy 498 00:29:46,120 --> 00:29:48,560 Speaker 1: cause of the environment, who then just went out and 499 00:29:48,560 --> 00:29:52,880 Speaker 1: went bankrupt. But kept the money. It's absurdity. So I 500 00:29:52,880 --> 00:29:55,680 Speaker 1: would get very excited because I realized that the City 501 00:29:55,760 --> 00:30:00,640 Speaker 1: Journal in the Manhattan Institute are centers of really intelligent, 502 00:30:01,240 --> 00:30:06,320 Speaker 1: hard working analysis, and I think that by you doing it, 503 00:30:06,400 --> 00:30:11,080 Speaker 1: you really move the seriousness of this issue very dramatically. 504 00:30:11,840 --> 00:30:14,320 Speaker 2: I mean, that's certainly our hope, and at least in 505 00:30:14,360 --> 00:30:17,000 Speaker 2: regards to the Minnesota story, it's been very gratifying to 506 00:30:17,040 --> 00:30:20,040 Speaker 2: see the way that this has caught the public's attention, 507 00:30:20,480 --> 00:30:23,920 Speaker 2: because now it is impossible for folks to ignore. Whether 508 00:30:24,000 --> 00:30:25,680 Speaker 2: or not they want to quibble with us on some 509 00:30:25,720 --> 00:30:29,040 Speaker 2: details of our reporting, that's all fine, but the reality 510 00:30:29,160 --> 00:30:32,120 Speaker 2: is everyone is now acknowledging that this is a billion 511 00:30:32,160 --> 00:30:34,520 Speaker 2: dollar problem in the state, and that's progress. 512 00:30:34,960 --> 00:30:37,160 Speaker 1: I want to thank you for joining me, and I 513 00:30:37,360 --> 00:30:41,520 Speaker 1: remind people that your article, co authored with christopherfo the 514 00:30:41,680 --> 00:30:45,960 Speaker 1: largest fundro al Shabab is the Minnesota Taxpayers available now 515 00:30:46,440 --> 00:30:50,280 Speaker 1: at citydash Journal dot org, and our listeners can follow 516 00:30:50,280 --> 00:30:52,800 Speaker 1: the work you're doing at the Manhattan Institute. But this 517 00:30:52,880 --> 00:30:55,320 Speaker 1: has been really, really helpful. I appreciate you doing it. 518 00:30:55,480 --> 00:30:59,120 Speaker 2: There's a pleasure to join you today. 519 00:31:00,120 --> 00:31:02,760 Speaker 1: Thank you to my guest, Ryan Thorpe, New World is 520 00:31:02,800 --> 00:31:06,560 Speaker 1: produced by Gangwi three sixty and iHeartMedia. Our executive producer 521 00:31:06,600 --> 00:31:10,480 Speaker 1: is Guarnesi Sloman. Our researcher is Rachel Peterson. The artwork 522 00:31:10,520 --> 00:31:13,920 Speaker 1: for the show was created by Steve Finlay. Special thanks 523 00:31:14,040 --> 00:31:16,200 Speaker 1: to the team at Gingwich three sixty. If you've been 524 00:31:16,240 --> 00:31:19,240 Speaker 1: enjoying Newtsworld, I hope you'll go to Apple Podcast and 525 00:31:19,320 --> 00:31:21,600 Speaker 1: both rate us with five stars and give us a 526 00:31:21,640 --> 00:31:25,120 Speaker 1: review so others can learn what it's all about. Join 527 00:31:25,160 --> 00:31:29,160 Speaker 1: me on substack at gingwishtree sixty dot net. I'm Newt Gingrich. 528 00:31:29,520 --> 00:31:30,520 Speaker 1: This is Newsworld