1 00:00:00,160 --> 00:00:02,280 Speaker 1: Welcome to the Truth with Lisa Booth, where we get 2 00:00:02,279 --> 00:00:05,480 Speaker 1: to the heart of the issues that matter to you. Today, 3 00:00:05,480 --> 00:00:09,000 Speaker 1: we've got former federal prosecutor and Marie veteran Joe Terrab, 4 00:00:09,240 --> 00:00:13,600 Speaker 1: who investigated the Feeding our Future, this Minnesota fraud scandal 5 00:00:13,640 --> 00:00:16,280 Speaker 1: that everyone's been talking about it. So he's just going 6 00:00:16,320 --> 00:00:19,639 Speaker 1: to share his unique frontline insight and to how it 7 00:00:19,720 --> 00:00:24,000 Speaker 1: exploded under Governor Tim Walls of Minnesota. And he said, 8 00:00:24,000 --> 00:00:26,079 Speaker 1: this this is how we put it. He said, the 9 00:00:26,079 --> 00:00:28,880 Speaker 1: big thing that jumped out to him was how easy 10 00:00:29,080 --> 00:00:31,920 Speaker 1: this fraud was to do. I could do that in 11 00:00:32,040 --> 00:00:35,240 Speaker 1: five minutes on a computer if I had absolutely no conscience. 12 00:00:35,920 --> 00:00:38,960 Speaker 1: So how was it allowed to go on for so long? 13 00:00:39,760 --> 00:00:42,559 Speaker 1: Why did politicians allow for it to go on for 14 00:00:42,600 --> 00:00:47,120 Speaker 1: so long? Well, they potentially get swept up in this investigation. 15 00:00:47,800 --> 00:00:49,120 Speaker 2: So we're going to dig in. 16 00:00:49,240 --> 00:00:54,400 Speaker 1: With someone who has seen this case up close, who investigated, 17 00:00:54,400 --> 00:00:57,920 Speaker 1: who prosecuted, who worked on this case. So stay tuned 18 00:00:58,440 --> 00:01:07,319 Speaker 1: for more on the Minnesota scandal. Joe, it's great to 19 00:01:07,319 --> 00:01:10,640 Speaker 1: have you on the show. This Minnesota fraud scandal has 20 00:01:10,680 --> 00:01:12,680 Speaker 1: been blowing up in the media and you had a 21 00:01:12,760 --> 00:01:13,680 Speaker 1: front row seat to it. 22 00:01:13,720 --> 00:01:15,320 Speaker 3: So appreciate you making the time. 23 00:01:15,640 --> 00:01:17,800 Speaker 2: Appreciate you having me on. Thanks a lot, Lisa. 24 00:01:18,120 --> 00:01:21,360 Speaker 1: So you said of this scandal that you were surprised 25 00:01:21,360 --> 00:01:24,120 Speaker 1: at how easy this fraud was to do. You know, 26 00:01:24,160 --> 00:01:25,919 Speaker 1: you could do that in five minutes on a computer 27 00:01:26,000 --> 00:01:27,560 Speaker 1: if you had absolutely no conscience. 28 00:01:27,760 --> 00:01:29,920 Speaker 3: Walk us through why was it so easy? 29 00:01:30,160 --> 00:01:32,960 Speaker 4: Well, there's a couple layers to that, I mean, stepping 30 00:01:33,000 --> 00:01:36,880 Speaker 4: back thirty thousand foot level. You had these massive government 31 00:01:36,920 --> 00:01:40,760 Speaker 4: programs in Minnesota here with the Federal Child Nutrition Program, 32 00:01:40,840 --> 00:01:44,480 Speaker 4: So money that was meant to go to feeding on 33 00:01:44,600 --> 00:01:48,040 Speaker 4: hungry kids, either in after school programs or summer school programs, 34 00:01:48,920 --> 00:01:52,840 Speaker 4: but you had a really stupid regulation, regulatory program to 35 00:01:52,880 --> 00:01:57,760 Speaker 4: disperse it. You had this purported watchdog organization called Feeding 36 00:01:57,800 --> 00:02:01,040 Speaker 4: Our Future, and they were purportedly the organization that was 37 00:02:01,080 --> 00:02:03,800 Speaker 4: supposed to be helping to feed a hungry kids. Well, 38 00:02:03,880 --> 00:02:08,280 Speaker 4: no one was watching this watchdog and so basically they 39 00:02:08,280 --> 00:02:14,400 Speaker 4: were getting kickbacks from different restaurants or other nonprofits to 40 00:02:14,440 --> 00:02:17,639 Speaker 4: say that, oh, you're feeding all these kids, when in actuality, 41 00:02:17,680 --> 00:02:19,720 Speaker 4: these kids were just made up. There were phantoms, they 42 00:02:19,760 --> 00:02:23,680 Speaker 4: were generating lists on kids that they were saying that 43 00:02:23,680 --> 00:02:27,680 Speaker 4: they're feeding. That just didn't even exist. They were generating 44 00:02:27,720 --> 00:02:32,680 Speaker 4: these fake and false, you know, backs up PDFs to 45 00:02:32,720 --> 00:02:35,160 Speaker 4: say that, oh yeah, we're buying all this food. 46 00:02:34,880 --> 00:02:36,680 Speaker 2: For these kids, and it was just totally made up. 47 00:02:36,880 --> 00:02:38,600 Speaker 4: And so in the same way that I can go 48 00:02:38,639 --> 00:02:42,080 Speaker 4: on my computer make up a PDF and saying that, 49 00:02:42,160 --> 00:02:44,840 Speaker 4: you know, I bought a thousand pounds of chicken or 50 00:02:44,840 --> 00:02:47,760 Speaker 4: one hundred gallons of milk to feed kids that I'm 51 00:02:47,800 --> 00:02:48,320 Speaker 4: not feeding. 52 00:02:49,440 --> 00:02:51,520 Speaker 2: It was all a lie. It was super super easy. 53 00:02:51,560 --> 00:02:53,639 Speaker 4: And so if you just had a government that cared 54 00:02:53,639 --> 00:02:56,400 Speaker 4: about where our money's going, that wouldn't have happened and 55 00:02:56,440 --> 00:02:59,239 Speaker 4: we wouldn't be out literally billions of dollars. And that's 56 00:02:59,240 --> 00:03:03,000 Speaker 4: the number that the former acting was attorney here in Minnesota, 57 00:03:03,480 --> 00:03:06,440 Speaker 4: Joe Thompson said that the numbers on the magnitude of 58 00:03:06,480 --> 00:03:10,800 Speaker 4: over nine billion billion with a bee. It's absolutely crazy. 59 00:03:12,160 --> 00:03:14,680 Speaker 1: You know, we've seen you know, the conviction of feeding 60 00:03:14,680 --> 00:03:18,800 Speaker 1: our future leader Amy Bach and more than fifty guilty police. 61 00:03:19,800 --> 00:03:22,480 Speaker 1: Why do you think it was allowed to go undetected 62 00:03:22,560 --> 00:03:26,560 Speaker 1: for so many years? Or how do you think one 63 00:03:26,639 --> 00:03:28,400 Speaker 1: undetected undetected for so long? 64 00:03:29,480 --> 00:03:30,720 Speaker 2: So part of. 65 00:03:30,639 --> 00:03:32,960 Speaker 4: It was, you know, during COVID, they just kind of 66 00:03:32,960 --> 00:03:36,480 Speaker 4: removed a lot of the auditing and any kind of 67 00:03:37,160 --> 00:03:40,600 Speaker 4: you know, checks and balances on it. So, you know, inditionally, 68 00:03:40,640 --> 00:03:42,840 Speaker 4: at least before COVID, there was supposed to be some 69 00:03:42,880 --> 00:03:45,640 Speaker 4: you know, site visits, actual physical visits. Well it kind 70 00:03:45,640 --> 00:03:47,840 Speaker 4: of went out the window over COVID. So just kind 71 00:03:47,840 --> 00:03:51,280 Speaker 4: of another reason how you know, waiting which COVID didn't 72 00:03:51,280 --> 00:03:53,720 Speaker 4: help things at all, or COVID lockdowns, i should say. 73 00:03:55,120 --> 00:03:59,760 Speaker 4: But then you had this really perverse incentive structure for 74 00:04:00,280 --> 00:04:04,640 Speaker 4: regulators or bureaucrats in Minnesota. So the agency in Minnesota, 75 00:04:04,680 --> 00:04:07,600 Speaker 4: the Minnesota Department of Education, was supposed to be kind 76 00:04:07,640 --> 00:04:11,400 Speaker 4: of overseeing the feeding our future organization that itself was 77 00:04:11,400 --> 00:04:14,680 Speaker 4: supposed to be overseeing other sites, and so you could 78 00:04:14,680 --> 00:04:17,360 Speaker 4: see where things could get lost in translation. But these 79 00:04:17,400 --> 00:04:20,920 Speaker 4: bureaucrats at the Minnesota Department of Education were incentivized to 80 00:04:21,080 --> 00:04:23,799 Speaker 4: just look the other way because when they did actually 81 00:04:24,120 --> 00:04:27,719 Speaker 4: end up putting up the smoke signal saying, hey, there's 82 00:04:27,720 --> 00:04:30,920 Speaker 4: some weird funny business here, like we're seeing exponential growth 83 00:04:30,920 --> 00:04:34,400 Speaker 4: in these federal child nutrition program funds being used when 84 00:04:34,480 --> 00:04:36,960 Speaker 4: like there's not a massive growth of kids or massive 85 00:04:36,960 --> 00:04:39,240 Speaker 4: growth and the needs for this when they put up 86 00:04:39,279 --> 00:04:42,760 Speaker 4: that smoke signal. What did feeding our Future do? Led 87 00:04:42,760 --> 00:04:46,880 Speaker 4: by Amy Bach, they alleged racism. They said to the court, 88 00:04:47,080 --> 00:04:49,680 Speaker 4: they said, you guys are being racists for shutting off 89 00:04:49,720 --> 00:04:52,479 Speaker 4: this money because we're feeding all these kids who are 90 00:04:52,560 --> 00:04:54,360 Speaker 4: Somali or Somali descent. 91 00:04:54,520 --> 00:04:56,080 Speaker 2: And that actually won the day for a while. 92 00:04:56,200 --> 00:04:59,279 Speaker 4: And so literally like a you know, crying wolf and 93 00:04:59,320 --> 00:05:02,400 Speaker 4: saying that that just not having money, a bunch of money, 94 00:05:02,480 --> 00:05:05,600 Speaker 4: you know, being being misspent and stolen, and somehow racism 95 00:05:06,000 --> 00:05:09,479 Speaker 4: actually led to this not being uncovered for for quite 96 00:05:09,480 --> 00:05:09,880 Speaker 4: a while. 97 00:05:10,480 --> 00:05:12,720 Speaker 1: But what does it say about the law that just 98 00:05:12,880 --> 00:05:16,880 Speaker 1: the simple charge of oh, you're being racist then prevented 99 00:05:16,960 --> 00:05:20,000 Speaker 1: further investigation or you know charges at the time. 100 00:05:21,160 --> 00:05:23,200 Speaker 4: You know, I don't know exactly what it says about 101 00:05:23,200 --> 00:05:25,440 Speaker 4: the law. I mean it definitely says something really terrible 102 00:05:25,520 --> 00:05:28,880 Speaker 4: about our politics. I mean, thankfully we've just seen kind 103 00:05:28,880 --> 00:05:32,600 Speaker 4: of depending on swing against wocism running up. But what 104 00:05:32,640 --> 00:05:35,880 Speaker 4: you had here in Minnesota, especially under Governor Tim Walls 105 00:05:36,080 --> 00:05:39,479 Speaker 4: and Attorney General Keith Ellison, I mean, if you have 106 00:05:39,520 --> 00:05:41,880 Speaker 4: the leaders at the top who are just talking about 107 00:05:41,920 --> 00:05:45,080 Speaker 4: everything in terms of the lens of oppressor and oppressed, 108 00:05:45,160 --> 00:05:49,280 Speaker 4: you're you're you're hearing things of that nature. It's it's 109 00:05:49,320 --> 00:05:51,600 Speaker 4: definitely going to set up the sentence structure for people 110 00:05:51,600 --> 00:05:57,280 Speaker 4: to feel a little bit more nervous about having lots 111 00:05:57,360 --> 00:06:01,119 Speaker 4: of audits and background on organizations that might be spending 112 00:06:01,160 --> 00:06:04,240 Speaker 4: money on people of Somali descent, for example. And so 113 00:06:05,240 --> 00:06:07,640 Speaker 4: that's just a dangerous situation and it didn't work out 114 00:06:07,680 --> 00:06:09,000 Speaker 4: well for the Minnesota taxpayer. 115 00:06:09,720 --> 00:06:13,839 Speaker 1: So what extent were Democrat politicians involved with some of 116 00:06:13,880 --> 00:06:14,440 Speaker 1: these people? 117 00:06:15,279 --> 00:06:15,480 Speaker 2: You know? 118 00:06:15,520 --> 00:06:19,600 Speaker 1: Were they getting kickbacks, were they getting donations? Did some 119 00:06:19,680 --> 00:06:22,800 Speaker 1: of that potentially prevent further investigation? 120 00:06:23,800 --> 00:06:28,480 Speaker 2: Yeah, you had this meeting. I think it was December of. 121 00:06:28,480 --> 00:06:30,359 Speaker 4: Twenty twenty one, it might be often the year, but 122 00:06:31,160 --> 00:06:34,640 Speaker 4: a few of these individuals met up with these fraudsters, 123 00:06:34,640 --> 00:06:38,400 Speaker 4: these co conspirators with each other, met up with Keith Ellison, 124 00:06:38,440 --> 00:06:40,840 Speaker 4: Attorney General, the person who's supposed to be upholding the 125 00:06:40,920 --> 00:06:43,240 Speaker 4: law in Minnesota. And I think Keith Ellison, you know, 126 00:06:43,279 --> 00:06:46,960 Speaker 4: he used to represent Minneapolis United States Congress, the same 127 00:06:47,000 --> 00:06:50,680 Speaker 4: district that now Ilanowa represents. Keith Ellison was I think 128 00:06:50,720 --> 00:06:56,400 Speaker 4: the deputy chair of the DMC. They these fraudsters set 129 00:06:56,480 --> 00:06:59,000 Speaker 4: up a meeting with Keith Allison, and this meeting was 130 00:06:59,040 --> 00:07:01,200 Speaker 4: recorded and we actually have the recording, and they were 131 00:07:01,440 --> 00:07:03,920 Speaker 4: trying to curry favor with Keith Elston. 132 00:07:04,200 --> 00:07:04,880 Speaker 2: They were saying, you. 133 00:07:04,800 --> 00:07:06,960 Speaker 4: Know, our money is very important and we can kind 134 00:07:07,000 --> 00:07:09,160 Speaker 4: of choose who we donate to, but we need to 135 00:07:09,200 --> 00:07:11,640 Speaker 4: make sure we have our attorney general who's fighting for us. 136 00:07:11,680 --> 00:07:14,640 Speaker 4: And really, just I mean, you don't even have to 137 00:07:14,640 --> 00:07:16,160 Speaker 4: look between the lines to see what they were trying 138 00:07:16,160 --> 00:07:18,800 Speaker 4: to do. They were trying to get Keith Ellison to 139 00:07:18,840 --> 00:07:20,760 Speaker 4: the extent that he was doing anything, which he really 140 00:07:20,840 --> 00:07:23,880 Speaker 4: wasn't like not put the spotlight on what's going on 141 00:07:23,960 --> 00:07:26,240 Speaker 4: with this these federal child musician funds and all this 142 00:07:26,280 --> 00:07:29,360 Speaker 4: fraud that's happening in Minnesota. And so they donate a 143 00:07:29,400 --> 00:07:31,120 Speaker 4: bunch of money to him. Now he'll say, oh, yeah, 144 00:07:31,120 --> 00:07:33,920 Speaker 4: well I gave it all back. Okay, fine, okay, you 145 00:07:34,000 --> 00:07:36,200 Speaker 4: gave a bunch of it back. Well why why were 146 00:07:36,240 --> 00:07:38,800 Speaker 4: they the people doing that they could donate money to 147 00:07:38,840 --> 00:07:41,960 Speaker 4: you and curry favor to you. And so that's very 148 00:07:42,000 --> 00:07:45,800 Speaker 4: concerning and I would hope and wish that more people 149 00:07:45,880 --> 00:07:46,440 Speaker 4: knew about that. 150 00:07:46,680 --> 00:07:49,520 Speaker 3: You know, at what point do you think you know? 151 00:07:49,560 --> 00:07:53,000 Speaker 1: Because there were, you know, whistle blowers and auditors of 152 00:07:53,080 --> 00:07:57,119 Speaker 1: raised concerns, you know, raised concerns years before arrests were made. 153 00:07:57,240 --> 00:07:59,720 Speaker 1: You know what point did state officials have enough information 154 00:07:59,840 --> 00:08:01,240 Speaker 1: to stop this fraud? 155 00:08:02,160 --> 00:08:04,520 Speaker 2: Well, they definitely had it early enough. 156 00:08:05,640 --> 00:08:08,240 Speaker 4: I remember there were points at which it was clear 157 00:08:08,920 --> 00:08:12,720 Speaker 4: that the state had this information. Keith Ellison, I remember, 158 00:08:12,760 --> 00:08:14,080 Speaker 4: even in the heat of I think it was a 159 00:08:14,120 --> 00:08:17,600 Speaker 4: twenty twenty two attorney general race against a guy who 160 00:08:17,600 --> 00:08:19,680 Speaker 4: I happened to be a good friend of mine, Jim Schultz, 161 00:08:20,320 --> 00:08:23,920 Speaker 4: bringing from attorney general in Minnesota, Keith Ellison was making 162 00:08:23,960 --> 00:08:26,440 Speaker 4: statements during debates that were absolutely false, saying, oh, well, 163 00:08:26,440 --> 00:08:29,680 Speaker 4: we were working hand in hand with the you know, 164 00:08:29,760 --> 00:08:34,679 Speaker 4: the federal regulators and prosecutors like myself and federal investigators. 165 00:08:35,520 --> 00:08:37,160 Speaker 4: We were working hand in hand with them from the 166 00:08:37,200 --> 00:08:40,440 Speaker 4: get go. You know, No, they weren't. They just weren't. 167 00:08:41,600 --> 00:08:44,480 Speaker 4: And this has kind of been an open secret unfortunately 168 00:08:44,480 --> 00:08:46,800 Speaker 4: in Minnesota that a lot of this fraud has been happening. 169 00:08:46,600 --> 00:08:47,360 Speaker 2: For many, many years. 170 00:08:47,360 --> 00:08:49,760 Speaker 4: I mean, people have been calling this out since I 171 00:08:49,760 --> 00:08:51,840 Speaker 4: think at least the year at twenty fourteen. There's a 172 00:08:51,880 --> 00:08:56,720 Speaker 4: lot of childcare fraud amongst folks mostly of Somali descent 173 00:08:56,760 --> 00:09:01,080 Speaker 4: here in Minnesota running these childcare organizations that we're either 174 00:09:01,520 --> 00:09:04,240 Speaker 4: massively over billing or just totally making up numbers saying yeah, 175 00:09:04,240 --> 00:09:07,120 Speaker 4: we're actually you know, we're providing childcare for all these kids, 176 00:09:07,120 --> 00:09:09,040 Speaker 4: but it really wasn't happening. Well, a lot of this 177 00:09:09,040 --> 00:09:12,800 Speaker 4: fraud is just kind of transformed over over time childcare, 178 00:09:13,200 --> 00:09:17,959 Speaker 4: but then it was feeding you know, federal childeutician program funds, 179 00:09:18,280 --> 00:09:23,199 Speaker 4: and then it was housing stabilization funds. You know, I've 180 00:09:23,200 --> 00:09:28,199 Speaker 4: heard of an interpretation interpret fraud autism fraud saying oh, 181 00:09:28,200 --> 00:09:31,439 Speaker 4: we're running these autism clinics and helping kids. 182 00:09:31,480 --> 00:09:32,960 Speaker 2: Well, no, you're actually not. 183 00:09:33,400 --> 00:09:35,839 Speaker 4: There's providing kickbacks of families to say that their kids 184 00:09:35,880 --> 00:09:38,320 Speaker 4: had autism when they actually didn't. I mean, just so 185 00:09:38,440 --> 00:09:41,160 Speaker 4: when you have all these government programs that are supposed 186 00:09:41,200 --> 00:09:44,400 Speaker 4: to be helping people, but you set it up where 187 00:09:44,400 --> 00:09:47,719 Speaker 4: it's just so easy to steal and so easy to falsify, 188 00:09:47,800 --> 00:09:51,839 Speaker 4: and unfortunately you can't do the honor system with folks 189 00:09:51,840 --> 00:09:53,000 Speaker 4: who aren't honorable. 190 00:09:54,240 --> 00:09:57,720 Speaker 1: Why do you think Minnesota is more susceptible to fraud? 191 00:09:58,160 --> 00:10:01,000 Speaker 4: That is well, is this going to say the million 192 00:10:01,040 --> 00:10:03,559 Speaker 4: dollar question? But maybe actually the billion dollar question of 193 00:10:03,640 --> 00:10:07,000 Speaker 4: the billions dollar question, Gosh, I wish I knew, because 194 00:10:07,000 --> 00:10:09,080 Speaker 4: it's really shameful. I mean, I'm proud of being in Minnesota, 195 00:10:09,120 --> 00:10:10,559 Speaker 4: and I was born racer in Minnesota. 196 00:10:10,640 --> 00:10:11,959 Speaker 2: I think we have. 197 00:10:12,360 --> 00:10:15,520 Speaker 4: Statistically like the highest levels of like education, and we're 198 00:10:15,520 --> 00:10:17,960 Speaker 4: healthy and we read and we're like we're just you know, 199 00:10:18,080 --> 00:10:21,400 Speaker 4: we're pretty like connected state. You know, very proud about 200 00:10:21,400 --> 00:10:23,760 Speaker 4: being in Minnesota. But I think when you kind of 201 00:10:23,760 --> 00:10:30,400 Speaker 4: have these big government set up aid programs in Minnesota 202 00:10:31,160 --> 00:10:33,960 Speaker 4: which very much kind of are based off the honor 203 00:10:34,000 --> 00:10:36,520 Speaker 4: system in many ways, and really they shouldn't be. I mean, 204 00:10:36,760 --> 00:10:38,720 Speaker 4: things of the honor system are meant for a society 205 00:10:38,760 --> 00:10:41,120 Speaker 4: where there's a lot of trusts and you're not going 206 00:10:41,200 --> 00:10:43,560 Speaker 4: to have an infusion of people that might take advantage 207 00:10:43,600 --> 00:10:46,720 Speaker 4: of it, unfortunately, and that's just kind of what we had. 208 00:10:46,840 --> 00:10:49,439 Speaker 4: We had a bunch of people who were just willing 209 00:10:49,480 --> 00:10:53,640 Speaker 4: to cheat the system now where there's no virtue. You 210 00:10:53,720 --> 00:10:56,360 Speaker 4: need virtue in a democracy, and unfortunately we just had 211 00:10:56,400 --> 00:10:58,040 Speaker 4: a lot of folks who didn't have any virtue here. 212 00:10:58,320 --> 00:11:00,640 Speaker 4: And you had Amy Bach running the whole thing. She's 213 00:11:00,640 --> 00:11:02,559 Speaker 4: not of Somali descent, herself. But you had a lot 214 00:11:02,600 --> 00:11:06,440 Speaker 4: of folks in this tight knit community and people of 215 00:11:06,480 --> 00:11:08,680 Speaker 4: Somali descent who are just willing to take advantage of 216 00:11:08,679 --> 00:11:11,440 Speaker 4: the system. And it's not, you know, only people of 217 00:11:11,480 --> 00:11:14,160 Speaker 4: Somality descent who are communitists this kind of fraud. But 218 00:11:14,240 --> 00:11:16,400 Speaker 4: here in Minnesota, you just had that and it's just 219 00:11:16,600 --> 00:11:17,520 Speaker 4: really really hard to explain. 220 00:11:17,520 --> 00:11:19,560 Speaker 1: You got to take a quick commercial break more on 221 00:11:19,600 --> 00:11:25,440 Speaker 1: this Minnesota fraud scandal. We're talking some of this money 222 00:11:25,480 --> 00:11:29,040 Speaker 1: was spent on luxury homes, overseas travel, there was a 223 00:11:29,040 --> 00:11:33,120 Speaker 1: lot of foreign transfer of money overseas as well. Kind 224 00:11:33,120 --> 00:11:35,840 Speaker 1: of walk us through some of the more egregious examples 225 00:11:36,440 --> 00:11:38,760 Speaker 1: that you saw in the way that this money was 226 00:11:38,760 --> 00:11:40,320 Speaker 1: spent and the things it was spent on. 227 00:11:41,520 --> 00:11:43,120 Speaker 4: Yeah, when I was on the case and for some 228 00:11:43,160 --> 00:11:46,680 Speaker 4: amount of time, my focus in the team was to 229 00:11:46,679 --> 00:11:50,880 Speaker 4: focus on this cluster called the Jigjiga cluster, and that 230 00:11:50,960 --> 00:11:54,920 Speaker 4: cluster surrounded three individuals. But one of one of the individuals, 231 00:11:55,760 --> 00:11:57,360 Speaker 4: his name is leban Ala Schier. 232 00:11:58,000 --> 00:12:00,000 Speaker 2: He stole a bunch of money over a million dollars, 233 00:12:00,640 --> 00:12:01,920 Speaker 2: can't remember. 234 00:12:01,600 --> 00:12:04,680 Speaker 4: The exact amount, but he sent a bunch of the 235 00:12:04,720 --> 00:12:08,400 Speaker 4: money and spent it on you know, a building complex 236 00:12:08,720 --> 00:12:09,520 Speaker 4: in Kenya. 237 00:12:09,640 --> 00:12:12,080 Speaker 2: He bought a resort in Kenya. 238 00:12:12,559 --> 00:12:16,440 Speaker 4: He bought you know, fancy car and a new fancy house, 239 00:12:16,640 --> 00:12:19,760 Speaker 4: all these things, you know, But people throughout this fraud 240 00:12:20,240 --> 00:12:23,640 Speaker 4: scandal bought tons of fancy cars and things. And it's 241 00:12:23,679 --> 00:12:25,719 Speaker 4: not as if we should be a society where you 242 00:12:25,760 --> 00:12:28,280 Speaker 4: punishing people for doing well and buying things that you 243 00:12:28,360 --> 00:12:30,840 Speaker 4: can afford. But when you're stealing government money and then 244 00:12:30,880 --> 00:12:34,600 Speaker 4: buying fancy cars and fancy resorts, that's it's not acceptable 245 00:12:34,720 --> 00:12:36,200 Speaker 4: and people should be appalled by it. 246 00:12:36,520 --> 00:12:38,600 Speaker 3: I mean it should be. You know, it's not that 247 00:12:38,640 --> 00:12:39,280 Speaker 3: it came to this. 248 00:12:39,920 --> 00:12:42,640 Speaker 1: You know, how well taxpayer is be able to recover 249 00:12:42,720 --> 00:12:45,040 Speaker 1: the money at all, or how much can be recovered 250 00:12:45,080 --> 00:12:45,920 Speaker 1: At this point. 251 00:12:46,640 --> 00:12:50,320 Speaker 4: You know, a good chunk of the money has been 252 00:12:51,360 --> 00:12:54,080 Speaker 4: I guess clawed back if you will. Yeah, And I 253 00:12:54,120 --> 00:12:57,400 Speaker 4: know in the Feeding our Future fraud investigation and prosecution 254 00:12:58,040 --> 00:13:00,560 Speaker 4: that number that Feeding our Future was responsible was about 255 00:13:00,600 --> 00:13:03,360 Speaker 4: two hundred and fifty million dollars at least in fraud, 256 00:13:03,840 --> 00:13:07,400 Speaker 4: and I think we hadn't clawed back or gotten back. 257 00:13:07,559 --> 00:13:09,080 Speaker 2: I think over seventy billion of it. 258 00:13:09,120 --> 00:13:10,840 Speaker 4: So you're never going to get back that much money, 259 00:13:10,840 --> 00:13:12,480 Speaker 4: because a lot of money just went out the door. 260 00:13:12,520 --> 00:13:14,240 Speaker 4: It was just stolen. It was bought with all these 261 00:13:14,280 --> 00:13:16,200 Speaker 4: things that you're not going to get back. But the 262 00:13:16,240 --> 00:13:20,240 Speaker 4: government can seize back boats, houses, cars to extent that 263 00:13:20,280 --> 00:13:21,920 Speaker 4: we can grab it, and even some things like in 264 00:13:21,920 --> 00:13:24,920 Speaker 4: foreign countries if someone's willing to play guilty and give 265 00:13:24,920 --> 00:13:25,280 Speaker 4: that up. 266 00:13:25,720 --> 00:13:27,080 Speaker 2: So it's definitely not enough. 267 00:13:27,160 --> 00:13:29,000 Speaker 4: I mean a lot of money is just never going 268 00:13:29,040 --> 00:13:32,160 Speaker 4: to get back, and especially with this number that assistant 269 00:13:32,160 --> 00:13:35,920 Speaker 4: he was, attorney Joe Thompson mentioned recently last week in 270 00:13:35,960 --> 00:13:39,520 Speaker 4: a press conference. You know, nine billion dollars of this 271 00:13:41,200 --> 00:13:43,400 Speaker 4: of this money is just out the door. You know, 272 00:13:43,600 --> 00:13:46,720 Speaker 4: we're not going to get you know, probably two percent 273 00:13:46,760 --> 00:13:47,920 Speaker 4: of that back. I mean, we're not going to get 274 00:13:47,920 --> 00:13:51,120 Speaker 4: hardly any of it. Just all wasted, all wasted. 275 00:13:51,520 --> 00:13:51,680 Speaker 3: You know. 276 00:13:51,760 --> 00:13:55,600 Speaker 1: There is a report in the City Journal last month 277 00:13:55,720 --> 00:14:00,520 Speaker 1: claiming that some of the money indirectly benefited out Shabab. 278 00:14:02,200 --> 00:14:04,480 Speaker 1: Have you seen any evidence of that or how do 279 00:14:04,520 --> 00:14:07,119 Speaker 1: you what do you make of that and that allegation. 280 00:14:07,960 --> 00:14:10,400 Speaker 4: I mean, I think the evidence that the Tiny Journal 281 00:14:10,400 --> 00:14:12,560 Speaker 4: had talked about was, I mean, not to use a 282 00:14:12,559 --> 00:14:14,400 Speaker 4: pun here as self evident. I mean, the money did 283 00:14:14,440 --> 00:14:16,960 Speaker 4: go to some of those organizations. Now, whether or not 284 00:14:17,720 --> 00:14:21,280 Speaker 4: people here in Minnesota took the money from the government 285 00:14:21,360 --> 00:14:23,680 Speaker 4: with the intent to give it to El Shabab, It's 286 00:14:23,720 --> 00:14:26,320 Speaker 4: it's hard to prove intent like that, I mean, but 287 00:14:26,440 --> 00:14:29,320 Speaker 4: a lot of the money was stolen, was illicitly gotten, 288 00:14:29,800 --> 00:14:31,960 Speaker 4: and it did go to El Shabob, and that's just 289 00:14:32,000 --> 00:14:34,200 Speaker 4: like a really sad thing as well. But Wow, we're 290 00:14:34,200 --> 00:14:36,720 Speaker 4: having all this money that was meant to go to 291 00:14:36,720 --> 00:14:39,600 Speaker 4: Minnesotan's in Minnesota and then it goes to a terrorist organization. 292 00:14:40,000 --> 00:14:42,480 Speaker 4: It very much reminds me of I was in the 293 00:14:42,480 --> 00:14:45,680 Speaker 4: Marine Corps for five years on active duty as a 294 00:14:45,760 --> 00:14:49,840 Speaker 4: JAG officer, and I deployed once to Iraq to help 295 00:14:49,920 --> 00:14:53,800 Speaker 4: our effort President Trump's effort to defeat and destroy ISIS, 296 00:14:53,840 --> 00:14:56,640 Speaker 4: And my job was as an operational law attorney, was 297 00:14:56,680 --> 00:14:58,960 Speaker 4: to just give advice on our strikes against ISIS, And 298 00:14:58,960 --> 00:15:01,400 Speaker 4: I remember seeing reports in that timeframe. 299 00:15:01,520 --> 00:15:03,200 Speaker 2: This is like twenty seventeen, twenty eighteen. 300 00:15:03,560 --> 00:15:06,560 Speaker 4: It's about how the one state that sent the most 301 00:15:07,320 --> 00:15:10,600 Speaker 4: fighters foreign fighters to fight for ISIS out of any 302 00:15:10,600 --> 00:15:14,240 Speaker 4: state in our Union, was Minnesota. So this is wild 303 00:15:14,240 --> 00:15:17,280 Speaker 4: to me that Minnesota is sending all this money or sorry. 304 00:15:17,320 --> 00:15:20,040 Speaker 4: At that time, all people to fight for ISIS And 305 00:15:20,080 --> 00:15:24,400 Speaker 4: now we're seeing all this money getting sent from what state? 306 00:15:24,480 --> 00:15:25,040 Speaker 2: Minnesota? 307 00:15:25,200 --> 00:15:27,680 Speaker 4: And unfortunately it's just because we have a lot of 308 00:15:27,680 --> 00:15:30,960 Speaker 4: folks here who happen to be of Somali descent who 309 00:15:30,960 --> 00:15:34,440 Speaker 4: are sending this money over and it's really really our stomach. 310 00:15:35,280 --> 00:15:37,880 Speaker 1: Do you think this is happening in other states and 311 00:15:37,920 --> 00:15:41,680 Speaker 1: it's just you know, yet to be discovered or you know, 312 00:15:42,120 --> 00:15:43,120 Speaker 1: what is your good tell you? 313 00:15:44,480 --> 00:15:46,200 Speaker 2: I think it is happening in other states. 314 00:15:46,200 --> 00:15:48,200 Speaker 4: I mean, I think when you have one party rule 315 00:15:48,360 --> 00:15:51,880 Speaker 4: or you have a state, unfortunately here in Minnesota where 316 00:15:51,960 --> 00:15:56,360 Speaker 4: you've had Democrat control for a while, maybe people feel 317 00:15:56,440 --> 00:15:58,320 Speaker 4: over confident and it feel like they're just gonna be 318 00:15:58,400 --> 00:16:00,880 Speaker 4: you can get to get away with it. So maybe 319 00:16:00,880 --> 00:16:03,520 Speaker 4: to accept that other states, you know, i've had you know, 320 00:16:03,960 --> 00:16:06,240 Speaker 4: more bite partnership, I guess we'll say, like maybe it's 321 00:16:06,240 --> 00:16:07,760 Speaker 4: just a little bit harder to do. But I'm sure 322 00:16:07,760 --> 00:16:10,840 Speaker 4: it's happening in other states, and I'm seeing more reports 323 00:16:11,000 --> 00:16:14,800 Speaker 4: of that now. But somehow Minnesota was was the worst 324 00:16:14,840 --> 00:16:18,560 Speaker 4: of it, and I think, yeah, so it definitely is 325 00:16:18,560 --> 00:16:19,480 Speaker 4: happening in other states. 326 00:16:19,640 --> 00:16:21,520 Speaker 1: It's interesting too, What did you make of sort of 327 00:16:21,720 --> 00:16:24,520 Speaker 1: like the initial I mean, obviously people you know, have 328 00:16:24,600 --> 00:16:27,280 Speaker 1: known about this for a while, but you know, we 329 00:16:27,320 --> 00:16:29,720 Speaker 1: saw like Tim Walls and Keith Ellison get pressed a 330 00:16:29,720 --> 00:16:33,040 Speaker 1: little bit more from the media. You know, sort of 331 00:16:33,040 --> 00:16:34,840 Speaker 1: what do you make of their handling of this and 332 00:16:35,160 --> 00:16:39,000 Speaker 1: sort of the excuses and really sort of like the 333 00:16:39,080 --> 00:16:41,000 Speaker 1: lack of accountability anyone's taking. 334 00:16:42,080 --> 00:16:44,200 Speaker 2: Yeah, I mean that's a big thing that Walls likes 335 00:16:44,240 --> 00:16:44,440 Speaker 2: to do. 336 00:16:44,560 --> 00:16:46,040 Speaker 4: Is he likes to say that, oh yeah, kind of 337 00:16:46,080 --> 00:16:48,680 Speaker 4: the buck stops with me and I'm the one, you know, responsible, 338 00:16:49,120 --> 00:16:52,600 Speaker 4: but he'll just like kind of conveniently not actually take responsibility. 339 00:16:52,680 --> 00:16:54,200 Speaker 2: And that's exactly what he's done here. 340 00:16:54,240 --> 00:16:56,640 Speaker 4: Even he had a kind of a clap back, I 341 00:16:56,640 --> 00:16:59,760 Speaker 4: guess you could say, to what assist US attorney Joe 342 00:16:59,800 --> 00:17:02,920 Speaker 4: Tad And when Joe Thompson mentioned last week that he 343 00:17:03,000 --> 00:17:05,480 Speaker 4: believed the fraud could you know, be over nine billion dollars, 344 00:17:05,520 --> 00:17:08,440 Speaker 4: I think Tim Walls said, well, you know, they can 345 00:17:08,480 --> 00:17:13,439 Speaker 4: throw at numbers, but and then refer to him taking responsibility, Well, no, 346 00:17:13,560 --> 00:17:15,920 Speaker 4: he hasn't at all, and maybe he should have been 347 00:17:15,960 --> 00:17:19,280 Speaker 4: doing more early on, once it seemed clear that this 348 00:17:19,359 --> 00:17:21,960 Speaker 4: kind of fraud was happening. I guess I mentioned it earlier, 349 00:17:22,000 --> 00:17:24,119 Speaker 4: but I didn't even finish the point of saying that. 350 00:17:24,200 --> 00:17:26,640 Speaker 4: Like it's been an open secret in Minnesota. This kind 351 00:17:26,640 --> 00:17:29,040 Speaker 4: of fraud has been happening going back to many, many years, 352 00:17:29,080 --> 00:17:31,639 Speaker 4: and so these folks knew about it, like Keith Ellison 353 00:17:31,760 --> 00:17:35,119 Speaker 4: knew about it. Walls knew about it, but they just 354 00:17:35,119 --> 00:17:38,320 Speaker 4: didn't care to do much about it. Maybe because you know, 355 00:17:38,440 --> 00:17:41,400 Speaker 4: that's a pretty important voting block for Democrats in Minnesota. 356 00:17:41,480 --> 00:17:43,320 Speaker 2: You know, Ihan Omar isn't. 357 00:17:43,119 --> 00:17:47,800 Speaker 4: The congresswoman from the fifth district representing Downtow Minneapolis for 358 00:17:47,840 --> 00:17:48,280 Speaker 4: no reason. 359 00:17:48,400 --> 00:17:48,920 Speaker 2: She's there. 360 00:17:49,440 --> 00:17:53,800 Speaker 4: There's a very large semi population. So maybe Keith Ellison 361 00:17:53,840 --> 00:17:55,400 Speaker 4: and Tim Walls didn't want to be seen as being 362 00:17:55,440 --> 00:17:58,600 Speaker 4: too anti Somali for whatever reason. I mean, even my 363 00:17:58,680 --> 00:18:02,040 Speaker 4: former boss, former US Attorney Andy Luger, took a lot 364 00:18:02,080 --> 00:18:05,119 Speaker 4: of hits, I think, even from Ilhan Omar regarding his 365 00:18:05,160 --> 00:18:08,960 Speaker 4: handling of prosecuting foreign fighters who are coming from Minnesota 366 00:18:09,440 --> 00:18:11,960 Speaker 4: going to the Middle East that fights for ISIS, and 367 00:18:12,000 --> 00:18:14,600 Speaker 4: he was labeled as anti you know, anti Somali, which 368 00:18:14,640 --> 00:18:17,680 Speaker 4: is just a bunch of malarkey, and so definitely they've 369 00:18:17,720 --> 00:18:20,760 Speaker 4: been not actually taking responsibility and they should have been 370 00:18:20,760 --> 00:18:21,320 Speaker 4: from the get go. 371 00:18:22,160 --> 00:18:23,639 Speaker 1: Do you think, I mean, in terms of where we 372 00:18:23,640 --> 00:18:26,200 Speaker 1: are now with this story, like we're not done yet, 373 00:18:26,280 --> 00:18:28,200 Speaker 1: right Like do you think things will continue to break 374 00:18:28,440 --> 00:18:30,960 Speaker 1: or sort of wors your perspective on where this story 375 00:18:31,040 --> 00:18:31,439 Speaker 1: is heading? 376 00:18:32,280 --> 00:18:36,440 Speaker 4: Mean, look, if you if assistant Answertory Joe Thompson is 377 00:18:36,480 --> 00:18:39,400 Speaker 4: saying that the fraud is going over nine billion pyers 378 00:18:39,440 --> 00:18:43,240 Speaker 4: and right now, I think just the am charged. I 379 00:18:43,240 --> 00:18:46,800 Speaker 4: don't have the exact number, but it's nothing close to that. 380 00:18:46,840 --> 00:18:49,960 Speaker 4: It might be, you know, around it's definitely above two 381 00:18:50,000 --> 00:18:52,480 Speaker 4: hundred and fifty million, but is below one billion, so 382 00:18:52,600 --> 00:18:53,680 Speaker 4: somewhere in that range. 383 00:18:53,680 --> 00:18:56,560 Speaker 2: So there's a lot more fraud yet to be charged. 384 00:18:56,600 --> 00:18:58,760 Speaker 4: I mean, that's just kind of what nine billion is 385 00:18:58,800 --> 00:19:00,840 Speaker 4: like the understanding of how much money was stolen, But 386 00:19:00,840 --> 00:19:04,440 Speaker 4: that's not how much money has been charged right now. 387 00:19:04,520 --> 00:19:07,000 Speaker 4: So there's a lot more to happen, a lot more 388 00:19:07,040 --> 00:19:09,639 Speaker 4: shoes to drop. I think the questions that need to 389 00:19:09,640 --> 00:19:12,520 Speaker 4: be answered is more specifically like what does you know 390 00:19:12,600 --> 00:19:14,400 Speaker 4: and when does you know it? I'm part of Tim 391 00:19:14,440 --> 00:19:16,479 Speaker 4: Walls and Keith Ellison and other leaders. 392 00:19:16,560 --> 00:19:17,959 Speaker 2: What does you know? And when did you know it? 393 00:19:18,040 --> 00:19:19,879 Speaker 2: And we're going to see a lot more. 394 00:19:20,359 --> 00:19:23,280 Speaker 4: I hope that the fraud isn't going to get too 395 00:19:23,320 --> 00:19:25,680 Speaker 4: much bigger than what we've seen, because I just as 396 00:19:25,720 --> 00:19:28,520 Speaker 4: a person who pays taxes, I want to know that 397 00:19:28,520 --> 00:19:31,080 Speaker 4: my money is not being absolutely wasted. I know it's 398 00:19:31,080 --> 00:19:35,000 Speaker 4: like in many large way wasted, but I hope there's 399 00:19:35,040 --> 00:19:36,360 Speaker 4: a little there's a cap on that. 400 00:19:37,160 --> 00:19:39,600 Speaker 3: So do you think any politicians could be swept up 401 00:19:39,640 --> 00:19:39,800 Speaker 3: in this? 402 00:19:39,960 --> 00:19:42,520 Speaker 1: As you mentioned want sort of you know, Tim Walls 403 00:19:42,560 --> 00:19:45,280 Speaker 1: and Keith Ellison to be sort of further questioned and 404 00:19:45,320 --> 00:19:48,480 Speaker 1: a little bit more investigative work in that regard, do 405 00:19:48,480 --> 00:19:50,440 Speaker 1: you think politicians could get swept up in this? 406 00:19:51,160 --> 00:19:52,920 Speaker 2: I mean they could for sure get swept up into 407 00:19:52,920 --> 00:19:53,760 Speaker 2: this in terms. 408 00:19:53,560 --> 00:19:55,679 Speaker 4: Of you know, what did they do when when they 409 00:19:55,760 --> 00:19:58,720 Speaker 4: learned various pieces of information? I mean neilan Omar as 410 00:19:58,760 --> 00:20:03,560 Speaker 4: well what she knows and so yeah, I mean, as 411 00:20:04,040 --> 00:20:07,080 Speaker 4: I know Chairman Comber, I think of the huss Oversight 412 00:20:07,119 --> 00:20:11,360 Speaker 4: Committee is conducting an investigation right now. I know that 413 00:20:11,480 --> 00:20:14,280 Speaker 4: more questions are going to be asked. People are stondent 414 00:20:14,320 --> 00:20:16,920 Speaker 4: going to have to be put under oath and are 415 00:20:16,920 --> 00:20:19,440 Speaker 4: going to have to be telling the truth about what 416 00:20:19,440 --> 00:20:21,600 Speaker 4: about what happened even this meeting with Keith Ellison a 417 00:20:21,640 --> 00:20:26,560 Speaker 4: couple of years ago where various frosters were attempting to 418 00:20:26,600 --> 00:20:29,639 Speaker 4: curry favor with Keith Elison, Like what happened there? Like 419 00:20:30,320 --> 00:20:34,639 Speaker 4: did they try to give him any money, you know, 420 00:20:34,720 --> 00:20:35,679 Speaker 4: to carer any favor? 421 00:20:35,840 --> 00:20:38,680 Speaker 2: Like what else happened? What other promises were made? 422 00:20:40,240 --> 00:20:42,400 Speaker 4: We need to know the answers to these questions because 423 00:20:42,400 --> 00:20:45,200 Speaker 4: these are people who are currently in charge and are 424 00:20:45,200 --> 00:20:49,160 Speaker 4: currently supposed to be handling our money well and clearly 425 00:20:49,240 --> 00:20:49,880 Speaker 4: they're not. 426 00:20:50,800 --> 00:20:53,640 Speaker 1: No, And that's what it really infuriates a lot of Americans. 427 00:20:53,880 --> 00:20:56,560 Speaker 1: You know, before we go, are there guardrails we can 428 00:20:56,560 --> 00:20:59,520 Speaker 1: put in place to protect tax for money in these instances? 429 00:20:59,600 --> 00:21:02,360 Speaker 1: Like sort of what sort of reforms do you think 430 00:21:02,480 --> 00:21:07,560 Speaker 1: we could do? And having sort of seen this up close, Yeah, I. 431 00:21:07,560 --> 00:21:10,760 Speaker 4: Mean this needs to be more checks and balances. We 432 00:21:10,800 --> 00:21:14,760 Speaker 4: can't expect like I mentioned some of these programs. We 433 00:21:14,800 --> 00:21:16,440 Speaker 4: even have a new one coming up in Minnesota, this 434 00:21:16,520 --> 00:21:18,320 Speaker 4: Paige Family Medical Leave. 435 00:21:18,560 --> 00:21:22,480 Speaker 2: But this is going to be so easy to the fraud. 436 00:21:22,520 --> 00:21:25,480 Speaker 2: There's got to be more checks and balances. There has 437 00:21:25,520 --> 00:21:28,200 Speaker 2: to be more oversight and auditing. 438 00:21:28,680 --> 00:21:33,119 Speaker 4: Honestly, you just like, we're not saying that the government 439 00:21:33,160 --> 00:21:35,040 Speaker 4: spending should go down to zero, but if there is 440 00:21:35,080 --> 00:21:37,719 Speaker 4: any government spending or government programs that are helping folks 441 00:21:38,520 --> 00:21:40,359 Speaker 4: who are in need, you need to make sure that 442 00:21:40,400 --> 00:21:45,240 Speaker 4: there's some teeth in auditing and teeth in the in 443 00:21:45,280 --> 00:21:46,960 Speaker 4: the way that you make sure that the money is 444 00:21:47,000 --> 00:21:49,480 Speaker 4: going to the right places. You can't have situations where, 445 00:21:50,080 --> 00:21:54,280 Speaker 4: for example, of a person is saying that they're feeding 446 00:21:55,119 --> 00:21:58,800 Speaker 4: two thousand kids in a certain town when there's actually 447 00:21:58,920 --> 00:22:01,120 Speaker 4: the town that has a popular should have one thousand people, 448 00:22:01,160 --> 00:22:03,399 Speaker 4: which is not the exact numbers, but that's kind of 449 00:22:03,400 --> 00:22:07,480 Speaker 4: what that's actually what happened in Minnesota, where things were 450 00:22:07,520 --> 00:22:10,160 Speaker 4: totally off kilter and didn't make any sense. 451 00:22:10,840 --> 00:22:13,120 Speaker 2: And then you have to have the ability to. 452 00:22:12,600 --> 00:22:18,080 Speaker 4: Have bureaucrats who do have some honor, who do raise 453 00:22:18,119 --> 00:22:19,439 Speaker 4: a flag and say something's going on here. 454 00:22:19,440 --> 00:22:20,880 Speaker 2: You have to give them the ability to actually shut 455 00:22:20,920 --> 00:22:21,480 Speaker 2: off the money. 456 00:22:21,800 --> 00:22:24,119 Speaker 4: And you have to make it so that you know, 457 00:22:24,960 --> 00:22:27,440 Speaker 4: fake claims of racism aren't going to stop that from happening. 458 00:22:28,440 --> 00:22:30,800 Speaker 1: So appreciate your time and appreciate your service both as 459 00:22:30,840 --> 00:22:33,240 Speaker 1: a federal prosecutor and also as a marine. 460 00:22:33,600 --> 00:22:35,800 Speaker 2: I appreciate that. Thank you so much, Lisa, Thanks. 461 00:22:35,680 --> 00:22:36,800 Speaker 3: Jo, thanks for joining us. 462 00:22:37,640 --> 00:22:39,879 Speaker 1: That was Joe, Tara appreciate him for making the time. 463 00:22:39,920 --> 00:22:42,160 Speaker 1: AP pursiate you guys at home for listening every Tuesday 464 00:22:42,200 --> 00:22:44,280 Speaker 1: and Thursday, but you can listen throughout the week. I 465 00:22:44,320 --> 00:22:46,600 Speaker 1: also want to thank our producer John Cassio for putting 466 00:22:46,600 --> 00:22:47,160 Speaker 1: the show together. 467 00:22:47,280 --> 00:22:48,040 Speaker 3: Until next time.