1 00:00:11,800 --> 00:00:14,240 Speaker 1: Good morning, peep Sen, and welcome to Okay f Daily 2 00:00:14,320 --> 00:00:18,880 Speaker 1: with Meet your Girl Danielle Moody, recording from the Home Bunker. Folks. 3 00:00:19,360 --> 00:00:23,040 Speaker 1: You know, as we wrap up twenty twenty two, there 4 00:00:23,079 --> 00:00:27,040 Speaker 1: has just been so many stories and so many headlines 5 00:00:27,120 --> 00:00:30,680 Speaker 1: as it pertains to white collar crime, you know, and 6 00:00:30,760 --> 00:00:34,519 Speaker 1: I often say that white collar crime for me, is 7 00:00:34,800 --> 00:00:37,920 Speaker 1: some of the most egregious type of crime because it's 8 00:00:38,000 --> 00:00:42,519 Speaker 1: crime that generally hurts a large swath of people. You know, 9 00:00:42,760 --> 00:00:46,520 Speaker 1: think about the housing crisis and all of the foreclosures 10 00:00:46,560 --> 00:00:51,080 Speaker 1: because of Wall Street greed. And this year has really 11 00:00:51,120 --> 00:00:53,800 Speaker 1: been no different. There have been so many people that 12 00:00:53,840 --> 00:00:58,080 Speaker 1: have been defrauded, for instance, by the Trump organization, as 13 00:00:58,360 --> 00:01:02,160 Speaker 1: we see in a verdict that bring down seventeen different 14 00:01:02,840 --> 00:01:08,000 Speaker 1: guilty charges, including fraud against the Trump organization. We saw 15 00:01:08,120 --> 00:01:11,880 Speaker 1: with Elizabeth Holmes who was sentenced to you know, over 16 00:01:11,959 --> 00:01:16,600 Speaker 1: ten years in prison because of defrauding her investors in 17 00:01:16,720 --> 00:01:19,920 Speaker 1: saying that she had some type of miracle for health 18 00:01:19,959 --> 00:01:22,679 Speaker 1: in the future and it wasn't that. And so I 19 00:01:22,720 --> 00:01:27,000 Speaker 1: can think of nobody better to bring in to give 20 00:01:27,120 --> 00:01:31,360 Speaker 1: us their kind of highs and lows of the twenty 21 00:01:31,440 --> 00:01:35,720 Speaker 1: twenty two year in fraud and scam and Grifters. Then 22 00:01:35,880 --> 00:01:40,000 Speaker 1: our friend friend of the show, Jennifer Tobb, who is 23 00:01:40,520 --> 00:01:46,160 Speaker 1: a fantastic my fantastic friend and fellow nerd Avenger, and 24 00:01:46,280 --> 00:01:51,160 Speaker 1: she is also the author of Big Dirty Money, The 25 00:01:51,360 --> 00:01:58,040 Speaker 1: Shocking injustice and Unseen cost of white Collar Crime. That 26 00:01:58,120 --> 00:02:02,200 Speaker 1: conversation with my friend the expert on all things white 27 00:02:02,200 --> 00:02:08,480 Speaker 1: collar crime coming up next. Friends, you know, whenever I 28 00:02:08,520 --> 00:02:11,760 Speaker 1: have the opportunity to bring on one of my friends 29 00:02:11,880 --> 00:02:16,120 Speaker 1: and fellow nerd Avenger, we do the Mary Trump Show together, 30 00:02:16,320 --> 00:02:19,160 Speaker 1: we gabb together on TV and she joins woka app 31 00:02:19,240 --> 00:02:22,400 Speaker 1: all the time, the author of Big Dirty Money and 32 00:02:22,720 --> 00:02:27,440 Speaker 1: Other People's Houses as well as the new podcastst host 33 00:02:27,680 --> 00:02:31,839 Speaker 1: of Booked Up with Jen Tob. Jen, thank you so 34 00:02:31,960 --> 00:02:36,480 Speaker 1: much for joining Woke f always enjoy you. Thank you 35 00:02:36,520 --> 00:02:39,639 Speaker 1: for inviting me. Danielle. This is exciting. I mean this 36 00:02:39,760 --> 00:02:43,639 Speaker 1: is December and you know the year are still young. 37 00:02:44,680 --> 00:02:51,600 Speaker 1: You know, disaster can always strike. But for for this episode, Jem, 38 00:02:51,639 --> 00:02:53,360 Speaker 1: you know you've come on the show a couple of 39 00:02:53,360 --> 00:02:56,880 Speaker 1: times throughout the year and there has been so much 40 00:02:56,880 --> 00:02:59,600 Speaker 1: white collar crime. I wish we would just start calling 41 00:02:59,600 --> 00:03:02,760 Speaker 1: it right because these are as you have said, and 42 00:03:02,800 --> 00:03:06,400 Speaker 1: as you've laid out in your book, Big Dirty Money, 43 00:03:06,520 --> 00:03:09,160 Speaker 1: and as we've talked about so many times, white collar 44 00:03:09,240 --> 00:03:13,280 Speaker 1: crime causes the most harm two people, right, it is. 45 00:03:13,480 --> 00:03:16,280 Speaker 1: It causes the most mass harm. When we're looking at 46 00:03:16,320 --> 00:03:20,520 Speaker 1: the housing crisis, we're looking at you know, economic defaults, 47 00:03:20,560 --> 00:03:22,960 Speaker 1: we're looking at inflation, we're looking at all of these things. 48 00:03:23,400 --> 00:03:28,600 Speaker 1: This type of crime causes a lot of damage. And 49 00:03:28,919 --> 00:03:31,760 Speaker 1: you know, the number one person who we've talked about 50 00:03:31,840 --> 00:03:35,480 Speaker 1: and discussed ad nauseum this year has been Donald Trump. 51 00:03:35,720 --> 00:03:38,520 Speaker 1: Donald Trump has faced I don't even know Jen at 52 00:03:38,520 --> 00:03:42,720 Speaker 1: this point how many fucking lawsuits he has faced. But 53 00:03:42,800 --> 00:03:47,360 Speaker 1: we do know that the last of the bunch, in 54 00:03:47,520 --> 00:03:52,080 Speaker 1: terms of the Trump organization, he was found the organization, 55 00:03:52,120 --> 00:03:55,560 Speaker 1: I won't say he the Trump organization was found guilty 56 00:03:55,680 --> 00:04:02,160 Speaker 1: on seventeen different charges, including right which we can get into. 57 00:04:03,240 --> 00:04:06,120 Speaker 1: But what we've known, you know, over the course of 58 00:04:06,160 --> 00:04:08,640 Speaker 1: this year, is that a lot of people with a 59 00:04:08,640 --> 00:04:11,120 Speaker 1: lot of money don't do a lot of good with it. 60 00:04:11,200 --> 00:04:14,640 Speaker 1: So I want you to give us some of your 61 00:04:14,760 --> 00:04:17,839 Speaker 1: and I know that you're making a list, you're you're 62 00:04:17,880 --> 00:04:23,080 Speaker 1: like the sad class of white collar crime. Give us 63 00:04:23,120 --> 00:04:25,880 Speaker 1: some of your highlights some of the things that you 64 00:04:25,960 --> 00:04:30,200 Speaker 1: were watching during the year that you're just like, I 65 00:04:30,240 --> 00:04:32,840 Speaker 1: can't believe this happened. I can't believe we're still not 66 00:04:32,920 --> 00:04:37,000 Speaker 1: talking about this because the news cycle moves on so quickly. 67 00:04:38,960 --> 00:04:43,159 Speaker 1: All this has been such a bountiful year for white 68 00:04:43,160 --> 00:04:46,280 Speaker 1: collar crime and not just Trump. And I want to 69 00:04:46,320 --> 00:04:48,520 Speaker 1: rewind to that moment when you said you wished it 70 00:04:48,600 --> 00:04:51,680 Speaker 1: was just called crime. And in some ways I like 71 00:04:51,800 --> 00:04:54,440 Speaker 1: having the white in it because it has a sort 72 00:04:54,440 --> 00:04:57,160 Speaker 1: of essence of white privilege, and that really is what 73 00:04:57,839 --> 00:05:00,920 Speaker 1: the man who came up with the term white collar 74 00:05:00,960 --> 00:05:04,680 Speaker 1: crime was getting at. There's no question that he defined 75 00:05:04,720 --> 00:05:09,320 Speaker 1: the term back in nineteen thirty nine to describe what 76 00:05:09,360 --> 00:05:15,599 Speaker 1: he said were crimes committed by people of high status 77 00:05:15,640 --> 00:05:19,440 Speaker 1: and respectability in their communities in the course of their occupations. 78 00:05:19,880 --> 00:05:23,880 Speaker 1: So he was talking about wealthy white men and business corporations. 79 00:05:23,920 --> 00:05:26,080 Speaker 1: He wrote a book about ten years later which is 80 00:05:26,120 --> 00:05:29,320 Speaker 1: mostly focused on corporate crime. And because he was a sociologist, 81 00:05:29,640 --> 00:05:32,800 Speaker 1: he wasn't just looking at crimes that were charged by 82 00:05:32,839 --> 00:05:34,640 Speaker 1: the authorities, because a lot of people, you know, kind 83 00:05:34,640 --> 00:05:36,599 Speaker 1: of get away with it. But he was looking like 84 00:05:36,600 --> 00:05:39,880 Speaker 1: a sociologist and His reason for describing things that weren't 85 00:05:40,320 --> 00:05:44,160 Speaker 1: either criminal activity or people who weren't actually ultimately charged 86 00:05:44,480 --> 00:05:48,680 Speaker 1: as criminals was because he said, you know, when sociologists 87 00:05:48,920 --> 00:05:53,960 Speaker 1: study organized crime, they'll talk about mobsters and they'll say 88 00:05:54,000 --> 00:05:57,840 Speaker 1: that the mafia are criminals, even those people who aren't charged. 89 00:05:57,880 --> 00:06:01,520 Speaker 1: As a sociological phenomenon, they're looking at criminal behavior, even 90 00:06:01,560 --> 00:06:04,000 Speaker 1: if it's uncharged. So he looked at he kind of 91 00:06:04,000 --> 00:06:08,520 Speaker 1: looked at white collar crime to describe people inside of, 92 00:06:08,880 --> 00:06:14,240 Speaker 1: in control of, and the organization's business organizations themselves. And 93 00:06:14,320 --> 00:06:17,480 Speaker 1: you know, although he said white collar, I mean I 94 00:06:17,520 --> 00:06:19,280 Speaker 1: think the white you know, I'm like having it in 95 00:06:19,320 --> 00:06:22,480 Speaker 1: the word because I think it reminds us of who 96 00:06:22,520 --> 00:06:25,359 Speaker 1: gets away with it. M Yeah, So in terms of 97 00:06:25,360 --> 00:06:28,920 Speaker 1: it being a bountiful year, this fall, I taught white 98 00:06:28,960 --> 00:06:33,800 Speaker 1: collar crime, you know, not the how to, but which 99 00:06:33,800 --> 00:06:37,120 Speaker 1: would I mean? But yeah, it's not a how to, 100 00:06:37,279 --> 00:06:39,000 Speaker 1: but you never know how people are going to use it. 101 00:06:39,040 --> 00:06:41,039 Speaker 1: And I usually teach it once a year, either in 102 00:06:41,040 --> 00:06:46,160 Speaker 1: the fall or spring semester. And um, I always when 103 00:06:46,200 --> 00:06:49,960 Speaker 1: I I update my slides every year, but um, but 104 00:06:50,000 --> 00:06:52,960 Speaker 1: I also always update the cover slide in each class 105 00:06:53,000 --> 00:06:56,080 Speaker 1: has the same cover slide, and so depending on what's 106 00:06:56,120 --> 00:06:58,280 Speaker 1: in the news, you know, I'll have a different person 107 00:06:58,320 --> 00:07:00,919 Speaker 1: who either has been indicted or fact that they will be. 108 00:07:01,120 --> 00:07:05,400 Speaker 1: It's like Elizabeth Holmes has been the cover poster slide. UM, 109 00:07:06,320 --> 00:07:12,160 Speaker 1: Billy McFarland of um. You know the saggy cheese sandwiches. Um. 110 00:07:13,120 --> 00:07:16,800 Speaker 1: What was that scam called um? You know where people 111 00:07:17,200 --> 00:07:20,560 Speaker 1: paid a ton of money to be flown? Oh my god, 112 00:07:21,240 --> 00:07:25,760 Speaker 1: uh fire fire, the fire festival, the fire Festival. I've 113 00:07:25,760 --> 00:07:27,880 Speaker 1: had many a person as a cover slide. It's a 114 00:07:27,880 --> 00:07:30,720 Speaker 1: lot of fun for me to start the semester that way. 115 00:07:30,760 --> 00:07:34,240 Speaker 1: And so I started this semester with Alan Weisselberg as 116 00:07:34,280 --> 00:07:37,240 Speaker 1: a cover slide. Now, he had already pleaded guilty in 117 00:07:37,360 --> 00:07:42,720 Speaker 1: August to his charges around the tax evasion associated with 118 00:07:42,760 --> 00:07:45,240 Speaker 1: those under the table payments, but I thought it'd be 119 00:07:45,240 --> 00:07:48,240 Speaker 1: really fun to have him on the cover because I said, 120 00:07:48,240 --> 00:07:50,240 Speaker 1: you know, there's going to be a trial of the 121 00:07:51,040 --> 00:07:54,400 Speaker 1: Trump Corporation for these um. So that's always fun, fun 122 00:07:54,480 --> 00:07:57,440 Speaker 1: for me to kind of predict things UM on. The 123 00:07:57,480 --> 00:08:01,320 Speaker 1: semester ends unfortunately classes over, but this smestra ends with 124 00:08:01,880 --> 00:08:09,280 Speaker 1: the indictment of SPF Sam Bankman freed for this um 125 00:08:10,000 --> 00:08:14,160 Speaker 1: not just indictment under federal white collar crime charges, but 126 00:08:14,280 --> 00:08:17,640 Speaker 1: also in sec civil complaint and Danielle next semester and 127 00:08:17,760 --> 00:08:22,800 Speaker 1: teaching securities regulation. So here's the thing about it before 128 00:08:22,800 --> 00:08:25,320 Speaker 1: this is in some ways it's bad for the society, 129 00:08:25,320 --> 00:08:27,760 Speaker 1: and we can walk through the different things. But for 130 00:08:27,800 --> 00:08:33,680 Speaker 1: me as for teaching purpose, yay, yay, you know, yes, 131 00:08:34,160 --> 00:08:36,760 Speaker 1: I'm so glad that you that you brought up um 132 00:08:37,960 --> 00:08:42,280 Speaker 1: SPF because here's the question. I don't follow cryptom probably 133 00:08:42,320 --> 00:08:46,040 Speaker 1: in the way that I should. And as I'm like 134 00:08:46,120 --> 00:08:50,240 Speaker 1: watching this unfold, I'm like, tell me if I'm making 135 00:08:50,280 --> 00:08:55,120 Speaker 1: the wrong equation. Is he essentially what he pulled was 136 00:08:55,160 --> 00:08:59,160 Speaker 1: not necessarily so much a scheme that was crypto based. 137 00:08:59,520 --> 00:09:02,600 Speaker 1: What he did was more so like what made Off 138 00:09:02,679 --> 00:09:05,920 Speaker 1: did right, Like he was kind of running a Ponzi 139 00:09:06,040 --> 00:09:11,040 Speaker 1: scheme of taking investors money right to try and like, 140 00:09:11,240 --> 00:09:13,960 Speaker 1: was it was it to to buy more crypto? Was 141 00:09:14,000 --> 00:09:16,679 Speaker 1: it to you know, live high on the hog? But 142 00:09:16,760 --> 00:09:20,520 Speaker 1: like it because as as this case is coming down, 143 00:09:20,559 --> 00:09:22,880 Speaker 1: and he would most likely folks, this is this is 144 00:09:22,880 --> 00:09:24,920 Speaker 1: the man that you're hearing about that is in the 145 00:09:24,920 --> 00:09:27,199 Speaker 1: Bahamas and he was arrested in the Bahamas, and we're 146 00:09:27,240 --> 00:09:30,080 Speaker 1: waiting on whether or not he will be extradited to 147 00:09:30,200 --> 00:09:35,480 Speaker 1: the United States um and will most likely be. But 148 00:09:36,600 --> 00:09:40,320 Speaker 1: what they are saying as as as Congress is very 149 00:09:40,400 --> 00:09:44,240 Speaker 1: far behind the times in terms of what to do 150 00:09:44,920 --> 00:09:48,760 Speaker 1: and how they're going to regulate crypto. But this isn't 151 00:09:49,160 --> 00:09:51,640 Speaker 1: as as it was being stated. And you tell me 152 00:09:52,040 --> 00:09:55,600 Speaker 1: it wasn't being stated as if he was running a 153 00:09:55,800 --> 00:10:01,640 Speaker 1: scheme with crypto like so, and as the government is 154 00:10:01,679 --> 00:10:03,720 Speaker 1: trying to figure out how do they regulate it? You 155 00:10:03,760 --> 00:10:07,280 Speaker 1: had one member who just said we should ban crypto outright, 156 00:10:07,320 --> 00:10:10,319 Speaker 1: which seems crazy to me and it will probably not happen. 157 00:10:11,640 --> 00:10:16,040 Speaker 1: But should it be regulated like a security like securities 158 00:10:16,160 --> 00:10:18,800 Speaker 1: or in stocks or is it going to be regulated 159 00:10:18,840 --> 00:10:24,040 Speaker 1: like a product? Right? And so you tell me, what 160 00:10:24,040 --> 00:10:30,160 Speaker 1: what's the interesting thing about SPF? Okay, So everything you're 161 00:10:30,200 --> 00:10:33,520 Speaker 1: saying is so smart and wise for a number of reasons. 162 00:10:34,480 --> 00:10:38,880 Speaker 1: Let me start and say that I would not liken 163 00:10:39,040 --> 00:10:41,760 Speaker 1: him to mate off. Okay, I would liken him more 164 00:10:41,840 --> 00:10:45,120 Speaker 1: to John Corzine, this guy who ran this company called 165 00:10:45,240 --> 00:10:47,800 Speaker 1: m Global that went broke and there was trouble with that. 166 00:10:47,920 --> 00:10:50,440 Speaker 1: So what the real thing is and By the way, 167 00:10:50,480 --> 00:10:51,960 Speaker 1: I'm writing a piece. I just wrote a piece for 168 00:10:52,000 --> 00:10:55,160 Speaker 1: Washington Monthly that hopefully we'll go up before the weekend 169 00:10:55,880 --> 00:11:00,360 Speaker 1: that kind of talks about this. But what he was doing, 170 00:11:01,600 --> 00:11:07,040 Speaker 1: Sam Bankman Freed had five years ago started a hedge fund. 171 00:11:07,640 --> 00:11:09,480 Speaker 1: So start out with a hedgeuns A hedge fund is 172 00:11:09,520 --> 00:11:11,160 Speaker 1: just a private pool of capital. It's kind of like 173 00:11:11,200 --> 00:11:14,600 Speaker 1: a mutual fund, something someone might have in their retirement account, 174 00:11:14,760 --> 00:11:17,679 Speaker 1: but it's an unregulated type of mutual fund. And over 175 00:11:17,760 --> 00:11:20,800 Speaker 1: the years, and I've written about this, it used to 176 00:11:20,840 --> 00:11:24,439 Speaker 1: be that these hedge funds and they don't always have 177 00:11:24,520 --> 00:11:27,679 Speaker 1: to have the same hedging strategy. There's private pools of capital. 178 00:11:27,880 --> 00:11:30,959 Speaker 1: They were exempt from a lot of the very important 179 00:11:30,960 --> 00:11:34,720 Speaker 1: structural protections for investors that are put in place for 180 00:11:34,760 --> 00:11:38,160 Speaker 1: regular mutual funds. They've always been exempt since the nineteen 181 00:11:38,200 --> 00:11:41,280 Speaker 1: forties when this law was passed. But over the years 182 00:11:41,280 --> 00:11:43,680 Speaker 1: those exemptions have gotten bigger and bigger and bigger and 183 00:11:43,679 --> 00:11:45,920 Speaker 1: bigger as hedge funds have gotten more and more power. 184 00:11:46,559 --> 00:11:50,320 Speaker 1: So he starts up this private hedge fund and he's 185 00:11:50,360 --> 00:11:53,679 Speaker 1: still I think the like the majority owner of this 186 00:11:53,720 --> 00:11:57,600 Speaker 1: hedge fund five years ago, and then about three years ago. 187 00:11:57,800 --> 00:11:59,720 Speaker 1: And by the way, the hedge fund invests at all 188 00:11:59,800 --> 00:12:05,520 Speaker 1: kinds of things, including crypto assets, okay now, And they 189 00:12:05,520 --> 00:12:09,559 Speaker 1: have their investors then, and that was called ft sorry, 190 00:12:09,600 --> 00:12:13,240 Speaker 1: that was called l Meta almedi So he has that, 191 00:12:13,320 --> 00:12:15,960 Speaker 1: and then just three years ago, so two years after 192 00:12:16,000 --> 00:12:19,200 Speaker 1: he's running this, he then starts with a friend a 193 00:12:19,360 --> 00:12:24,959 Speaker 1: cryptocurrency exchange FTX FTX Limited, which is also known as 194 00:12:24,960 --> 00:12:29,360 Speaker 1: FTX dot com. Okay, and that exchange. You might think 195 00:12:29,360 --> 00:12:32,600 Speaker 1: of that as um, you know, these aren't now, these 196 00:12:32,640 --> 00:12:37,520 Speaker 1: are not securities. It's a way to trade crypto assets. 197 00:12:37,520 --> 00:12:39,840 Speaker 1: So if you had one kind of crypto, you could 198 00:12:39,840 --> 00:12:42,120 Speaker 1: exchange it for another. You could even use it to 199 00:12:42,160 --> 00:12:45,280 Speaker 1: go from crypto to fiat, like to US dollars or 200 00:12:45,320 --> 00:12:51,040 Speaker 1: two GON dollars, so you would have this. He started 201 00:12:51,040 --> 00:12:55,040 Speaker 1: this exchange, and he was the majority owner of that, 202 00:12:55,080 --> 00:12:57,280 Speaker 1: like a ninety percent over owner of that, and he 203 00:12:57,360 --> 00:12:59,320 Speaker 1: ran it. So for a while he was running both 204 00:12:59,360 --> 00:13:03,120 Speaker 1: of them. And so to some degree, it's not like 205 00:13:03,200 --> 00:13:07,599 Speaker 1: a crypto or a or a you know, bitcoin or 206 00:13:07,640 --> 00:13:11,000 Speaker 1: any kind of story, but it is a hot commodities 207 00:13:11,080 --> 00:13:14,400 Speaker 1: kind of story or a hot hot investment kind of story. 208 00:13:14,440 --> 00:13:16,840 Speaker 1: So okay, but you would not step that started this 209 00:13:16,960 --> 00:13:19,760 Speaker 1: exchange if it weren't for people needing a place to 210 00:13:19,840 --> 00:13:23,280 Speaker 1: trade these because it's very hard to you can't make 211 00:13:23,360 --> 00:13:27,240 Speaker 1: if you want. For my view is that cryptocurrency should 212 00:13:27,240 --> 00:13:30,320 Speaker 1: have been regulated as a security and it wasn't, but 213 00:13:30,400 --> 00:13:33,240 Speaker 1: that they're investments, they're not dollars, and people are hoping 214 00:13:33,360 --> 00:13:36,760 Speaker 1: that they're trading them so that they will find the 215 00:13:36,760 --> 00:13:38,760 Speaker 1: greater fool to buy it, and that they will up 216 00:13:38,800 --> 00:13:40,800 Speaker 1: and up and up. Then you've made your money and 217 00:13:40,800 --> 00:13:42,880 Speaker 1: you try to get out before the collapse. And he 218 00:13:43,400 --> 00:13:47,560 Speaker 1: created an exchange where people could could trade these types 219 00:13:47,679 --> 00:13:52,480 Speaker 1: of security types of assets, these crypto and other assets. 220 00:13:52,559 --> 00:13:58,480 Speaker 1: So what happened in the spring, it could have happened earlier. 221 00:13:58,520 --> 00:14:02,000 Speaker 1: But at least we know that there were times when Almeda, 222 00:14:02,400 --> 00:14:08,600 Speaker 1: his hedge fund was short on it owed money. So Almeda, 223 00:14:08,640 --> 00:14:12,040 Speaker 1: the hedge fund has its own investors and it has lenders, 224 00:14:12,880 --> 00:14:15,640 Speaker 1: and when it Almita was doing high risk trading strategies 225 00:14:15,679 --> 00:14:18,439 Speaker 1: that were quite a lot of borrowing, buying, borrowing a 226 00:14:18,480 --> 00:14:21,920 Speaker 1: lot of money, buying something you know, low and selling 227 00:14:21,960 --> 00:14:24,000 Speaker 1: it high, or borrowing a lot of money or borrowing 228 00:14:24,000 --> 00:14:27,880 Speaker 1: assets and trying to capitalize on it going up in someone. 229 00:14:27,880 --> 00:14:29,680 Speaker 1: And he was borrowing a lot of money for these 230 00:14:29,760 --> 00:14:33,560 Speaker 1: very high risk, volatile securities and sorry investments. And when 231 00:14:33,600 --> 00:14:36,320 Speaker 1: crypto started to come down in price, there was a 232 00:14:36,320 --> 00:14:39,600 Speaker 1: hole in their balance sheet. And it's one thing if 233 00:14:39,600 --> 00:14:41,960 Speaker 1: you lose money, like it's a whole money. If you 234 00:14:42,040 --> 00:14:45,440 Speaker 1: lose other all money, right, So they owed money when 235 00:14:45,440 --> 00:14:47,680 Speaker 1: they were losing money in their hedge fund. When SPF 236 00:14:47,720 --> 00:14:49,840 Speaker 1: was losing money's hedge fund, his lenders were knocking on 237 00:14:49,880 --> 00:14:52,040 Speaker 1: the door saying, give them my fucking money, right because 238 00:14:52,040 --> 00:14:54,760 Speaker 1: they wanted he didn't have it. They took according to 239 00:14:54,800 --> 00:14:59,120 Speaker 1: the allegations, they took money out of customer accounts at 240 00:14:59,120 --> 00:15:03,400 Speaker 1: his other business, the exchange, including and customers who were 241 00:15:03,800 --> 00:15:09,040 Speaker 1: they So they took money from fun set from the 242 00:15:09,320 --> 00:15:13,640 Speaker 1: from the exchange customers, from the FTX exchange customers to 243 00:15:13,800 --> 00:15:18,480 Speaker 1: funnel over to the hedge fund investors so that they 244 00:15:18,480 --> 00:15:22,440 Speaker 1: wouldn't pull I would it would say lenders, Okay, So 245 00:15:22,480 --> 00:15:25,960 Speaker 1: the so the hedge fund lenders three things use the 246 00:15:26,000 --> 00:15:30,720 Speaker 1: money for, according to the indictment, One to pay for 247 00:15:30,760 --> 00:15:35,560 Speaker 1: expenses over the hedge fund. Two UM to pay for 248 00:15:36,560 --> 00:15:39,680 Speaker 1: UM pay off some of the debts and three to 249 00:15:39,760 --> 00:15:43,360 Speaker 1: do other investment strategies. They also were using the money 250 00:15:43,440 --> 00:15:45,800 Speaker 1: to pay for their lifestyle and so on. I'm still 251 00:15:45,800 --> 00:15:47,760 Speaker 1: talking about the deal. So that's that's kind of what 252 00:15:47,840 --> 00:15:50,560 Speaker 1: was going down there. The other thing in this indictment 253 00:15:50,600 --> 00:15:53,440 Speaker 1: that people aren't talking about as much, and then there's 254 00:15:53,520 --> 00:15:57,480 Speaker 1: money laundering because you're disguising those transactions. One thing that 255 00:15:57,520 --> 00:15:59,760 Speaker 1: hasn't been discussed that much is the campaign finance for 256 00:15:59,800 --> 00:16:06,440 Speaker 1: aut allocations, So that to me is so interesting. So 257 00:16:06,960 --> 00:16:11,320 Speaker 1: one of the things, folks that has been announced that 258 00:16:11,440 --> 00:16:16,240 Speaker 1: we don't have full details around yet is that Sam 259 00:16:17,320 --> 00:16:21,640 Speaker 1: was taking a lot of this money and putting it 260 00:16:21,760 --> 00:16:29,400 Speaker 1: into political packs, like putting it into you know. And 261 00:16:29,760 --> 00:16:33,000 Speaker 1: what is so interesting of members right, And what I 262 00:16:33,080 --> 00:16:36,720 Speaker 1: find really fascinating about this is that there had been 263 00:16:36,720 --> 00:16:43,160 Speaker 1: no plans to even hold any significant hearings or any 264 00:16:43,200 --> 00:16:47,320 Speaker 1: significant legislation for him to be lobbying on the behalf 265 00:16:47,360 --> 00:16:50,680 Speaker 1: of Right. And I say lobbying, I'm using that loosely 266 00:16:50,760 --> 00:16:53,040 Speaker 1: kind of tongue and cheap because he wasn't fucking lobbying. 267 00:16:53,320 --> 00:16:56,480 Speaker 1: He was paying. He was essentially padding pockets so that 268 00:16:56,560 --> 00:16:59,960 Speaker 1: later down the road when they're deciding when the Senate 269 00:17:00,080 --> 00:17:02,400 Speaker 1: is going to essentially decide and then the President would 270 00:17:02,400 --> 00:17:05,600 Speaker 1: decide what they're going to do with this thing called cryptocurrency, 271 00:17:05,840 --> 00:17:08,199 Speaker 1: that he will have pounded the pockets enough, you know, 272 00:17:08,280 --> 00:17:10,560 Speaker 1: in the way that we see big pharma, in the 273 00:17:10,560 --> 00:17:13,440 Speaker 1: way that we see gun folks, and so they would 274 00:17:13,520 --> 00:17:19,320 Speaker 1: essentially potentially maybe want to side with the crypto folks. 275 00:17:19,760 --> 00:17:23,280 Speaker 1: And even though all of that, even though our system 276 00:17:23,359 --> 00:17:28,240 Speaker 1: allows a flood of money, even that, he's accused of 277 00:17:28,280 --> 00:17:34,439 Speaker 1: exceeding the limits both for corporate limits, to these corporate 278 00:17:34,440 --> 00:17:38,440 Speaker 1: limits as well as individual limits. And he's also accused 279 00:17:38,560 --> 00:17:41,639 Speaker 1: of hiding the identity of the true donors. Remember he 280 00:17:41,680 --> 00:17:45,320 Speaker 1: was testifying before Congress recently too about but he held 281 00:17:45,400 --> 00:17:48,359 Speaker 1: himself out as being we're the good crypto people. Why 282 00:17:48,359 --> 00:17:51,120 Speaker 1: would you put yours like that? More? I mean, there's 283 00:17:51,119 --> 00:17:52,560 Speaker 1: so much more, because I haven't even told the about 284 00:17:52,600 --> 00:17:54,400 Speaker 1: the sac complaint. But I'm not going to go through 285 00:17:54,440 --> 00:17:56,440 Speaker 1: that because that because I have got to still finish 286 00:17:56,480 --> 00:17:59,880 Speaker 1: reading it. But that one focuses more on the investors 287 00:18:00,119 --> 00:18:03,640 Speaker 1: FTX right. The Department of Justice is focused on the victims, 288 00:18:03,720 --> 00:18:07,600 Speaker 1: being the customers who have their money stolen, right, as 289 00:18:07,600 --> 00:18:12,159 Speaker 1: well as the lenders to Almida because the lender, they 290 00:18:12,160 --> 00:18:14,080 Speaker 1: also have lenders. So let me go back to the DOJ. 291 00:18:14,840 --> 00:18:17,520 Speaker 1: The lenders were misled because he told the lenders were 292 00:18:17,520 --> 00:18:20,760 Speaker 1: doing fine, right, they're awesome misled of the hedge fund. 293 00:18:20,960 --> 00:18:24,000 Speaker 1: But the SEC focuses on you know, civil complaint. They're 294 00:18:24,000 --> 00:18:28,240 Speaker 1: focusing on some other some other things about the money 295 00:18:28,320 --> 00:18:31,880 Speaker 1: that he raised from investors in the US one point 296 00:18:31,880 --> 00:18:35,959 Speaker 1: eight billion to fund his exchange that he created and 297 00:18:36,119 --> 00:18:40,360 Speaker 1: how they were misled. So that's the SEC's case. I mean, 298 00:18:41,480 --> 00:18:44,919 Speaker 1: dude is thirty though, So the bottom line, Danielle is 299 00:18:45,240 --> 00:18:49,199 Speaker 1: I will you know the sentence. You know, it's not 300 00:18:49,240 --> 00:18:52,800 Speaker 1: over for him. He'll probably get out in his fifties, 301 00:18:53,640 --> 00:18:57,520 Speaker 1: like the lading, I mean federal prison and a life 302 00:18:57,560 --> 00:19:00,720 Speaker 1: place to be Jim, you know, so he ain't going 303 00:19:00,760 --> 00:19:03,440 Speaker 1: to be the same person coming out that he is going. 304 00:19:03,760 --> 00:19:07,119 Speaker 1: Even if he does have fifty years. A club fed 305 00:19:07,320 --> 00:19:09,520 Speaker 1: is not club fed is not the best. I mean, look, 306 00:19:09,560 --> 00:19:12,280 Speaker 1: I don't I think that probably twenty years is probably 307 00:19:12,400 --> 00:19:15,159 Speaker 1: your twenty five. But he might get at most and 308 00:19:15,240 --> 00:19:17,280 Speaker 1: he might not even serve the whole thing. I'm just 309 00:19:17,320 --> 00:19:19,000 Speaker 1: looking at the numbers because the reason why I was 310 00:19:19,000 --> 00:19:20,760 Speaker 1: trying to figure this out. Is it's one thing about 311 00:19:20,760 --> 00:19:23,720 Speaker 1: what the statute says in terms of the maximum penalty 312 00:19:23,800 --> 00:19:26,760 Speaker 1: under this particular fraud in money laundering and so on. 313 00:19:27,160 --> 00:19:29,720 Speaker 1: And then it's another thing what the sentencing guidelines say, 314 00:19:29,800 --> 00:19:32,600 Speaker 1: which is based on past behavior or how many victims 315 00:19:32,640 --> 00:19:35,520 Speaker 1: there were, the amount involved. And the third thing, though, 316 00:19:35,560 --> 00:19:38,439 Speaker 1: is you have to have sentences that are online with others. 317 00:19:38,440 --> 00:19:41,520 Speaker 1: And I was just looking at the federal prosecutors putting 318 00:19:41,520 --> 00:19:44,000 Speaker 1: out a forty six page sentencing memo and connection with 319 00:19:44,040 --> 00:19:46,760 Speaker 1: Elizabeth Holmes, and so the data day would be using. 320 00:19:46,800 --> 00:19:49,040 Speaker 1: I was just looking at that to see, well, what 321 00:19:49,119 --> 00:19:52,040 Speaker 1: are they holding out is the high sentences and the 322 00:19:52,080 --> 00:19:55,840 Speaker 1: rest of it. I just can't see him. I just 323 00:19:55,880 --> 00:20:00,560 Speaker 1: can't see him getting more than third. You know, I 324 00:20:00,560 --> 00:20:02,600 Speaker 1: think that the spot that he might get is twenty 325 00:20:02,680 --> 00:20:05,040 Speaker 1: or twenty five. It just doesn't how much it cooperates. 326 00:20:05,600 --> 00:20:07,879 Speaker 1: So let me ask you this because I you know, 327 00:20:07,920 --> 00:20:11,919 Speaker 1: again we're talking about the year in review of these 328 00:20:12,080 --> 00:20:16,399 Speaker 1: high profile white collar crimes. You brought up Elizabeth Holmes. 329 00:20:16,400 --> 00:20:22,400 Speaker 1: Elizabeth Holmes, Um, you know, she was the whiz kid, right, 330 00:20:22,600 --> 00:20:27,080 Speaker 1: She had some of the best pr campaign campaigns that 331 00:20:27,160 --> 00:20:29,600 Speaker 1: I think that I've ever seen and said, you know, 332 00:20:29,800 --> 00:20:33,040 Speaker 1: we're going to solve all of your health ailments with 333 00:20:33,160 --> 00:20:36,680 Speaker 1: one drop of blood, right, um, and this is all 334 00:20:36,720 --> 00:20:47,640 Speaker 1: I need. And Elizabeth Holmes, essentially she gets similarly defrauds right, 335 00:20:48,280 --> 00:20:53,400 Speaker 1: a bunch of people, um for hundreds of millions of dollars. 336 00:20:53,400 --> 00:20:57,040 Speaker 1: Her her government says, up seven hundred million. And that's 337 00:20:57,480 --> 00:21:01,880 Speaker 1: when and that's only the focuses out there on the investors. Yes, 338 00:21:02,400 --> 00:21:06,800 Speaker 1: and that one, you know, they say, like, I thought 339 00:21:06,800 --> 00:21:09,119 Speaker 1: it was interesting. Yet I thought that her defense was 340 00:21:09,200 --> 00:21:14,120 Speaker 1: interesting because her defense was like, don't I get to 341 00:21:14,160 --> 00:21:17,959 Speaker 1: fail up like everybody else does, Like we haven't figured 342 00:21:18,080 --> 00:21:22,760 Speaker 1: we we haven't figured it out yet, and you're investing 343 00:21:22,920 --> 00:21:26,400 Speaker 1: as a way of figuring out the future of health right. 344 00:21:27,440 --> 00:21:30,600 Speaker 1: And so I thought that that was really interesting because 345 00:21:30,640 --> 00:21:34,960 Speaker 1: you know that Silicon Valley types are known for their 346 00:21:35,200 --> 00:21:39,000 Speaker 1: failing upwards. Right, They get a bunch of investors, they 347 00:21:39,040 --> 00:21:42,159 Speaker 1: get a bunch of venture capital. One business goes up 348 00:21:42,200 --> 00:21:44,200 Speaker 1: in flames, and then they're just like, oh, but look 349 00:21:44,200 --> 00:21:46,720 Speaker 1: at me, I have resources to go ahead and start 350 00:21:46,840 --> 00:21:51,280 Speaker 1: up another thing. Why wasn't any considered it? Why wasn't 351 00:21:51,280 --> 00:21:55,280 Speaker 1: her defense considered it? In the same way as a 352 00:21:55,280 --> 00:21:59,359 Speaker 1: lot of white men that have been able to consistently 353 00:21:59,440 --> 00:22:02,320 Speaker 1: fail up and say, well, we're figuring it out. Was 354 00:22:02,320 --> 00:22:08,560 Speaker 1: it because she said I figured it out? I mean, 355 00:22:08,600 --> 00:22:12,479 Speaker 1: there's so many So the question about that kind of 356 00:22:13,760 --> 00:22:17,600 Speaker 1: perceived or actual bias in the system, you know, can 357 00:22:17,640 --> 00:22:22,240 Speaker 1: be anywhere along the narrative like who does she get charged? 358 00:22:22,920 --> 00:22:25,760 Speaker 1: You know, does she you know, is this something that 359 00:22:25,920 --> 00:22:29,040 Speaker 1: a jury is you know, looks at. Is it something 360 00:22:29,040 --> 00:22:31,639 Speaker 1: the judge looks at? And I just don't you know, 361 00:22:31,680 --> 00:22:33,960 Speaker 1: her sentence wasn't at the end of the day, her 362 00:22:33,960 --> 00:22:38,360 Speaker 1: sentence was not that long. Eleven twelve years, oh, eleven years, 363 00:22:38,520 --> 00:22:43,240 Speaker 1: eleven or twelve, yeah, one of eleven or twelve years. Yeah, 364 00:22:43,320 --> 00:22:50,320 Speaker 1: they wanted fifteen. They wanted fifteen. And you know, it's 365 00:22:50,359 --> 00:22:54,480 Speaker 1: interesting because you're talking people want these kind of dreamers 366 00:22:54,800 --> 00:23:00,880 Speaker 1: and investors, equity investors in particular, not not retail investors, 367 00:23:00,920 --> 00:23:04,120 Speaker 1: but if equity investors have a lot of money, expect 368 00:23:04,200 --> 00:23:06,440 Speaker 1: to lose if they lose their shirts, if they lose 369 00:23:06,480 --> 00:23:08,920 Speaker 1: their full investment, you know, but one of the things 370 00:23:08,960 --> 00:23:12,160 Speaker 1: goes through the roof. That's what they're kind of looking for. 371 00:23:12,760 --> 00:23:15,880 Speaker 1: And so to think of them as the victims. I mean, 372 00:23:15,920 --> 00:23:20,480 Speaker 1: the reason why those she was misleading them. I mean 373 00:23:20,480 --> 00:23:24,840 Speaker 1: that if you if you've read the book, listen Bad Blood, 374 00:23:25,840 --> 00:23:29,639 Speaker 1: you know, and you know, what you're talking about is 375 00:23:29,640 --> 00:23:35,240 Speaker 1: so interesting because it's that line between aspirational and outright fraud. 376 00:23:35,359 --> 00:23:40,160 Speaker 1: And even if someone themselves, you know, believes subjectively believes 377 00:23:40,160 --> 00:23:42,600 Speaker 1: that well, I'm going to get this done, there were 378 00:23:42,640 --> 00:23:46,399 Speaker 1: things that she did that that showed um that it 379 00:23:46,480 --> 00:23:50,720 Speaker 1: was fraud and this wasn't. And you know, but I'm 380 00:23:50,920 --> 00:23:52,320 Speaker 1: you know, I look at her and I think, what 381 00:23:52,359 --> 00:23:56,080 Speaker 1: about all of her enablers. There's so many people who 382 00:23:58,000 --> 00:24:02,200 Speaker 1: stood by her, believed in her, and crushed others who 383 00:24:02,200 --> 00:24:04,880 Speaker 1: are trying to get the truth out earlier. And that's 384 00:24:04,880 --> 00:24:08,479 Speaker 1: what bothers me too. Same thing with SBF. You know, 385 00:24:09,160 --> 00:24:12,520 Speaker 1: this is the same thing though in terms of you know, 386 00:24:12,920 --> 00:24:17,240 Speaker 1: the line that you're saying right aspirational, because this is 387 00:24:17,320 --> 00:24:23,600 Speaker 1: what fueled the Netflix hit Inventing Anna about Anna delve 388 00:24:24,200 --> 00:24:28,720 Speaker 1: and the quote unquote Russian heiress who is trying to 389 00:24:28,760 --> 00:24:32,000 Speaker 1: get who gets all of these investors to believe in, 390 00:24:32,240 --> 00:24:34,760 Speaker 1: you know, in this dream, this social club, this idea 391 00:24:34,800 --> 00:24:41,000 Speaker 1: of blah blah, and they fall for it right, And 392 00:24:41,119 --> 00:24:44,480 Speaker 1: she's just like, but this was my idea, Like this 393 00:24:44,600 --> 00:24:47,960 Speaker 1: was a real this was a real concept, Like why 394 00:24:48,000 --> 00:24:51,560 Speaker 1: can't Why wasn't I allowed to dream? And I'm just like, 395 00:24:52,119 --> 00:24:56,159 Speaker 1: because you lied, right, like you lied in order to 396 00:24:56,200 --> 00:24:59,360 Speaker 1: get people's money. And that's how the law. That's how 397 00:24:59,359 --> 00:25:03,840 Speaker 1: the law is, you know, that's how it works. Whether 398 00:25:03,840 --> 00:25:06,640 Speaker 1: we're looking at WI or fraud or securities fraud, the law, 399 00:25:06,720 --> 00:25:10,000 Speaker 1: the law looks at if you if you try to 400 00:25:10,040 --> 00:25:13,520 Speaker 1: get someone to give you money or property based on 401 00:25:14,680 --> 00:25:19,720 Speaker 1: some kind of scheme or material misstatements or misrepresentations or 402 00:25:20,560 --> 00:25:24,560 Speaker 1: um false pretenses there, you know, that's that's what fraud is. 403 00:25:27,400 --> 00:25:30,440 Speaker 1: With a couple of minutes that we have left, Gen, 404 00:25:31,640 --> 00:25:35,000 Speaker 1: look into your crystal ball for me. Look look look 405 00:25:35,040 --> 00:25:37,880 Speaker 1: into the magic eight ball and tell me we did 406 00:25:37,920 --> 00:25:40,080 Speaker 1: not think at the end of twenty two that we 407 00:25:40,119 --> 00:25:43,440 Speaker 1: would have had And we've only gone through about four 408 00:25:43,480 --> 00:25:45,880 Speaker 1: of them. And I know that there are more, um 409 00:25:46,440 --> 00:25:51,360 Speaker 1: high profile white collar criminals right who have all been 410 00:25:51,680 --> 00:25:55,760 Speaker 1: brought down or facing jail time or sentencing or m 411 00:25:56,240 --> 00:25:59,000 Speaker 1: you know, court dates and all of these things. But 412 00:25:59,119 --> 00:26:02,360 Speaker 1: the number one, obviously, in my mind, the number one 413 00:26:02,400 --> 00:26:06,000 Speaker 1: person that I want to go down who not only 414 00:26:06,040 --> 00:26:10,679 Speaker 1: abused investors and abused customers, whether they be for Trump 415 00:26:10,800 --> 00:26:16,440 Speaker 1: University or for Trump organization, both have now been labeled 416 00:26:16,480 --> 00:26:20,040 Speaker 1: by the law as you know, essential grifters, right, like 417 00:26:20,080 --> 00:26:25,080 Speaker 1: they've been grifting off of people and defrauding people. What 418 00:26:25,160 --> 00:26:29,760 Speaker 1: does twenty twenty three look like in terms of finally 419 00:26:29,840 --> 00:26:35,920 Speaker 1: getting Donald Trump, Because with the Alan Weisselberg case, essentially 420 00:26:35,960 --> 00:26:38,680 Speaker 1: what Alan Weisselberg's lawyer said is like, we're going to 421 00:26:38,800 --> 00:26:43,240 Speaker 1: cop to this plead guilty because I am guilty. But 422 00:26:43,320 --> 00:26:47,760 Speaker 1: this was just me that did it right, Like I didn't. 423 00:26:47,840 --> 00:26:50,760 Speaker 1: I wasn't enabled by Trump or the Trump family. This 424 00:26:50,880 --> 00:26:54,240 Speaker 1: was just me and that was probably you know the 425 00:26:55,160 --> 00:26:58,280 Speaker 1: deal all along. If you go down, you'll get a 426 00:26:58,280 --> 00:27:01,200 Speaker 1: slap on the risk, we'll actual you on the back end. 427 00:27:01,680 --> 00:27:08,080 Speaker 1: Where do you see Donald Trump going in twenty twenty three? 428 00:27:10,320 --> 00:27:18,040 Speaker 1: I see Donald Trump being indicted early in twenty twenty three, 429 00:27:18,160 --> 00:27:22,240 Speaker 1: early in the first I mean, I mean, I hope 430 00:27:22,240 --> 00:27:24,119 Speaker 1: it's I see it as a first quarter, but I 431 00:27:24,119 --> 00:27:28,119 Speaker 1: could be wrong, Okay, And um, I think Jack Smith 432 00:27:28,200 --> 00:27:32,359 Speaker 1: is going to go first in terms of doing that. Yeah, 433 00:27:32,600 --> 00:27:33,960 Speaker 1: And the reason why I used to think, you know, 434 00:27:34,080 --> 00:27:37,359 Speaker 1: is it going to be Fannie willis Ya Georgia, you know, 435 00:27:37,520 --> 00:27:40,160 Speaker 1: as you might have just seeing Jack Smith is subpoena 436 00:27:40,320 --> 00:27:45,440 Speaker 1: ing Brad Raffinsburger. H huh uh huh huh. So what's 437 00:27:45,480 --> 00:27:50,280 Speaker 1: that about. Yeah, that's really to the insurrection and the 438 00:27:50,320 --> 00:27:53,760 Speaker 1: false selectors. Um. Yeah, I think Jack Smith is going 439 00:27:53,840 --> 00:27:58,120 Speaker 1: to go first with the Mara Lago documents case. I 440 00:27:58,160 --> 00:28:00,240 Speaker 1: think that's almost ready to go. I don't know whether 441 00:28:00,280 --> 00:28:03,440 Speaker 1: he's going to just throw the insurrection in there too, 442 00:28:04,520 --> 00:28:07,000 Speaker 1: you know, or if you want to bring that as 443 00:28:07,000 --> 00:28:13,000 Speaker 1: a separate case. Um, maybe what I would do is 444 00:28:13,720 --> 00:28:16,360 Speaker 1: indict one, see which judge you get it, and if 445 00:28:16,359 --> 00:28:22,720 Speaker 1: it's a judge you like that, well you're allowed to 446 00:28:22,760 --> 00:28:26,000 Speaker 1: do a superseding indictment and then you know. I don't think, 447 00:28:26,160 --> 00:28:28,960 Speaker 1: well that's what I would do. I think that happens. 448 00:28:29,040 --> 00:28:33,560 Speaker 1: I also think, um, I also think that it's possible 449 00:28:33,640 --> 00:28:37,959 Speaker 1: that separately, well, it's possible the Southern District of New 450 00:28:38,000 --> 00:28:42,800 Speaker 1: York takes that referral from Tiss James about the civil 451 00:28:42,840 --> 00:28:46,880 Speaker 1: case that she brought involving the valuation. What I don't 452 00:28:46,920 --> 00:28:50,040 Speaker 1: know is whether my understanding is that Jack Smith, who's 453 00:28:50,040 --> 00:28:53,320 Speaker 1: this new special counsel is only handling the marl Lago 454 00:28:53,440 --> 00:28:56,160 Speaker 1: documents case in the insurrection. But it may be that 455 00:28:56,200 --> 00:28:59,280 Speaker 1: they're going to throw in those tax cases too, I 456 00:28:59,320 --> 00:29:01,840 Speaker 1: don't know, but either way, those are I think very 457 00:29:01,880 --> 00:29:05,120 Speaker 1: strong cases. In fact, I mentioned to you I'm teaching 458 00:29:05,120 --> 00:29:07,040 Speaker 1: white collar crime. What I didn't tell you as a 459 00:29:07,080 --> 00:29:09,920 Speaker 1: students are right now at five o'clock their final exam 460 00:29:10,040 --> 00:29:12,520 Speaker 1: is due, and what they have to do is us 461 00:29:12,680 --> 00:29:17,360 Speaker 1: talk about the pros and cons of indicting Donald Trump 462 00:29:17,880 --> 00:29:22,600 Speaker 1: and one of his business organizations for the two statutes 463 00:29:22,840 --> 00:29:26,560 Speaker 1: James referred to the SDNY, which one is bank fraud 464 00:29:26,640 --> 00:29:30,200 Speaker 1: and one is making a false statement to a financial institution. 465 00:29:30,440 --> 00:29:33,760 Speaker 1: So they're working on that now, and I think, you 466 00:29:33,800 --> 00:29:36,480 Speaker 1: know that looks promising. And I also you mentioned the 467 00:29:36,520 --> 00:29:40,520 Speaker 1: Manhattan DA although they had this, because they had this victory, 468 00:29:40,560 --> 00:29:42,400 Speaker 1: they should be very proud of that. And they've hired 469 00:29:42,760 --> 00:29:45,120 Speaker 1: a new person. Jack Smith isn't the only new sheriff 470 00:29:45,160 --> 00:29:48,520 Speaker 1: in town. We've got Matthew Colangelo who comes over from 471 00:29:48,600 --> 00:29:53,440 Speaker 1: Cus James's office with all the knowledge to maybe indict 472 00:29:53,520 --> 00:29:57,040 Speaker 1: Donald Trump. There. So, to me, it's not a question 473 00:29:58,040 --> 00:30:00,520 Speaker 1: as much of when it's a question of who and 474 00:30:00,680 --> 00:30:03,160 Speaker 1: it would be. It seems like it should come from 475 00:30:03,200 --> 00:30:05,280 Speaker 1: the FEDS first, but maybe they all do it at once, 476 00:30:05,400 --> 00:30:08,080 Speaker 1: kind of like the DJ and the SEC came after 477 00:30:08,240 --> 00:30:11,600 Speaker 1: SPF all at once. Maybe that's gonna be the show 478 00:30:11,600 --> 00:30:15,440 Speaker 1: of force. Oh, Jen, well, I can't wait for that day. 479 00:30:15,800 --> 00:30:18,680 Speaker 1: What did I say on Mary Trump Show? I said 480 00:30:18,720 --> 00:30:22,280 Speaker 1: that the day that it happens, I'm sending everybody's champagne 481 00:30:22,480 --> 00:30:25,800 Speaker 1: so that we can toast on the show. I'm gonna 482 00:30:25,800 --> 00:30:28,280 Speaker 1: go for a run. I'm gonna look. I I walk now. 483 00:30:28,320 --> 00:30:29,880 Speaker 1: I don't run, but I think I could probably run 484 00:30:29,920 --> 00:30:33,000 Speaker 1: five miles after I heard that news, and then I'll 485 00:30:33,000 --> 00:30:35,640 Speaker 1: have the champagne. And maybe I'll have the champagne. M Jen, 486 00:30:35,920 --> 00:30:39,920 Speaker 1: tell folks, you have a special engagement that is happening 487 00:30:40,160 --> 00:30:45,520 Speaker 1: in LA with Mary Trump and with my other co host, 488 00:30:46,040 --> 00:30:51,480 Speaker 1: Wajahat Ali. Tell the people, Yes, Wage and I are 489 00:30:51,560 --> 00:30:55,480 Speaker 1: going to be the nerd Avenger representatives for the Mary 490 00:30:55,520 --> 00:31:00,520 Speaker 1: Trump Show. We're doing it live, live streamed, I think, 491 00:31:00,680 --> 00:31:03,400 Speaker 1: and I hope. Um. I know that at least we'll 492 00:31:03,440 --> 00:31:05,920 Speaker 1: be a recording on Los Angeles at this place called 493 00:31:05,920 --> 00:31:10,960 Speaker 1: the Dynasty Typewriter seven thirty PM. Pacific time. Super excited. 494 00:31:11,000 --> 00:31:13,080 Speaker 1: We have a Danielle knows who it is, but we 495 00:31:13,120 --> 00:31:19,000 Speaker 1: cannot say special incredible. Special guest is super cool and 496 00:31:19,120 --> 00:31:21,280 Speaker 1: that's what we're doing. And this is the first of 497 00:31:21,360 --> 00:31:23,280 Speaker 1: many Take It on the Show, Take It on the 498 00:31:23,360 --> 00:31:25,400 Speaker 1: road shows. I think that Mary's going to be doing 499 00:31:25,760 --> 00:31:28,640 Speaker 1: maybe in New York. Danielle, I you know, I hope 500 00:31:28,640 --> 00:31:33,040 Speaker 1: that you know. We were talking about it, and folks 501 00:31:33,040 --> 00:31:36,120 Speaker 1: are really keen on wanting to see people in person 502 00:31:36,160 --> 00:31:38,800 Speaker 1: and go to these in person events. So I wish 503 00:31:38,840 --> 00:31:41,280 Speaker 1: you all the luck, you and Wah and Mary and 504 00:31:41,400 --> 00:31:45,080 Speaker 1: the special guest. I can't wait to hear about how 505 00:31:45,080 --> 00:31:49,040 Speaker 1: it was a rave success. Folks. If you are not 506 00:31:49,200 --> 00:31:52,760 Speaker 1: subscribed yet two booked up with Jen Tobb, go ahead 507 00:31:52,880 --> 00:31:55,080 Speaker 1: so you can get her wherever you get all of 508 00:31:55,120 --> 00:31:59,400 Speaker 1: your podcasts and all of my podcasts eleven hundred and 509 00:31:59,440 --> 00:32:02,520 Speaker 1: then if you have not already picked up her book, 510 00:32:02,600 --> 00:32:06,800 Speaker 1: Big Dirty Money, do so and other people's houses, folks, 511 00:32:06,800 --> 00:32:11,000 Speaker 1: and she is currently writing away on yet another book. 512 00:32:11,080 --> 00:32:14,240 Speaker 1: So Jen, thank you so much for making the time 513 00:32:14,280 --> 00:32:17,440 Speaker 1: for us and woke app always appreciate you. Thank you, 514 00:32:17,560 --> 00:32:25,400 Speaker 1: have a great New year you too. That is it 515 00:32:25,520 --> 00:32:29,200 Speaker 1: for me. Today, dear friends on Woke f As always, 516 00:32:29,240 --> 00:32:31,880 Speaker 1: Power to the people and to all the people. Power, 517 00:32:32,120 --> 00:32:34,240 Speaker 1: get woke and stay woke as fuck.