1 00:00:00,480 --> 00:00:05,680 Speaker 1: You're listening to Bloomberg Law with June Grasso from Bloomberg Radio. 2 00:00:06,880 --> 00:00:10,800 Speaker 1: There are new concerns about the accuracy of the Census. 3 00:00:10,920 --> 00:00:13,720 Speaker 1: The US Census Bureau was cutting its schedule for data 4 00:00:13,760 --> 00:00:17,560 Speaker 1: collection for the Census a month short, stopping all its 5 00:00:17,560 --> 00:00:20,200 Speaker 1: counting efforts at the end of September instead of the 6 00:00:20,280 --> 00:00:24,680 Speaker 1: end of October. Researchers, academic, civil rights activists, and politicians 7 00:00:24,920 --> 00:00:28,320 Speaker 1: are among those expressing concern that speeding up the count 8 00:00:28,360 --> 00:00:32,559 Speaker 1: will produce an undercount. Inaccurate data will have lasting effects 9 00:00:32,560 --> 00:00:35,479 Speaker 1: throughout the next decade. Joining me is Leon Fresco, a 10 00:00:35,560 --> 00:00:38,800 Speaker 1: partner at Holland and Knight. I got a Census questionnaire 11 00:00:38,960 --> 00:00:41,720 Speaker 1: in the mail, I filled it in, sent it in. 12 00:00:42,240 --> 00:00:45,480 Speaker 1: What else does the Census have to do besides send 13 00:00:45,520 --> 00:00:48,920 Speaker 1: out those questionnaires? We the censors have to do two 14 00:00:49,040 --> 00:00:52,080 Speaker 1: key things. They have one, like you said, a mail 15 00:00:52,120 --> 00:00:55,000 Speaker 1: out of the questionnaire, but also under federal statute, there's 16 00:00:55,040 --> 00:00:58,080 Speaker 1: also a second period that's called the in person verification, 17 00:00:58,640 --> 00:01:02,000 Speaker 1: which is then where they have to canvas the addresses 18 00:01:02,080 --> 00:01:05,760 Speaker 1: that they don't have answered for and try to get 19 00:01:05,800 --> 00:01:10,360 Speaker 1: answers that are accountable for those addresses. As of Monday, 20 00:01:11,319 --> 00:01:15,720 Speaker 1: of US households had not responded to the Census questionnaire. 21 00:01:16,240 --> 00:01:19,080 Speaker 1: Yet the U S Census Bureau says it's cutting its 22 00:01:19,080 --> 00:01:23,040 Speaker 1: schedule for data collection. Do we know why? Well, the 23 00:01:23,080 --> 00:01:25,880 Speaker 1: reason that was given is that they don't think they'd 24 00:01:25,880 --> 00:01:30,800 Speaker 1: be able to finish the calculations that are required by 25 00:01:31,000 --> 00:01:34,480 Speaker 1: the satuatory deadline of December thirty one, which is when 26 00:01:34,520 --> 00:01:37,560 Speaker 1: they're supposed to have the full count by. But that 27 00:01:37,800 --> 00:01:40,360 Speaker 1: seems a bit strange given that they knew that that 28 00:01:40,440 --> 00:01:44,120 Speaker 1: satuatory deadline existed when they first made this announcement about 29 00:01:44,160 --> 00:01:47,960 Speaker 1: moving it to October one. And the other odd point 30 00:01:48,120 --> 00:01:50,680 Speaker 1: is that it's not as if COVID has gotten better. 31 00:01:51,200 --> 00:01:54,960 Speaker 1: COVID has gotten worse, and so whatever justification that was 32 00:01:55,040 --> 00:01:59,000 Speaker 1: COVID related to get to October thirty one seems odd 33 00:01:59,080 --> 00:02:03,400 Speaker 1: to now with raw back to September. Some people are saying, well, 34 00:02:03,440 --> 00:02:06,240 Speaker 1: this means that there will be an under count of 35 00:02:06,560 --> 00:02:11,440 Speaker 1: minorities as well as rural populations. That's a huge danger 36 00:02:11,480 --> 00:02:15,239 Speaker 1: that now, especially because of COVID and limitations and getting 37 00:02:15,240 --> 00:02:18,079 Speaker 1: access to people, and people who don't want to necessarily 38 00:02:18,240 --> 00:02:21,200 Speaker 1: talk to anyone at the moment because they're being very 39 00:02:21,280 --> 00:02:25,000 Speaker 1: very careful that all of the time that was now 40 00:02:25,160 --> 00:02:28,280 Speaker 1: needed that extra month, you certainly would have yielded a 41 00:02:28,360 --> 00:02:31,440 Speaker 1: much larger response rate over the course of an additional 42 00:02:31,480 --> 00:02:34,799 Speaker 1: month that you won't have now. Now it will be rush, 43 00:02:34,880 --> 00:02:38,160 Speaker 1: and the strategy of rushing it is almost certainly to 44 00:02:38,280 --> 00:02:41,120 Speaker 1: lead to hum their count. Many people are saying that 45 00:02:41,160 --> 00:02:44,680 Speaker 1: this move to speed up the deadlines is another attempt 46 00:02:44,800 --> 00:02:49,480 Speaker 1: by the Trump administration to politicize the census. Yeah, there 47 00:02:49,520 --> 00:02:52,400 Speaker 1: is a belief that, whether it's true or not, that 48 00:02:52,600 --> 00:02:56,560 Speaker 1: time frames work out, which is that if potentially you 49 00:02:56,639 --> 00:03:00,160 Speaker 1: had delayed the census, it would have gone in to 50 00:03:00,440 --> 00:03:04,560 Speaker 1: the presidency of a subsequent president, maybe Joe Biden if 51 00:03:04,560 --> 00:03:08,000 Speaker 1: he wins, And so by feeding it up a month, 52 00:03:08,520 --> 00:03:12,200 Speaker 1: the idea is that somehow the president can prevail in 53 00:03:12,360 --> 00:03:16,160 Speaker 1: his other litigation about not counting people without status here 54 00:03:16,639 --> 00:03:18,840 Speaker 1: that then he can make the final count and the 55 00:03:18,919 --> 00:03:21,919 Speaker 1: final abortion meant before the end of the first term 56 00:03:21,919 --> 00:03:25,720 Speaker 1: of the presidency. And analysis shows that ten states are 57 00:03:25,800 --> 00:03:31,000 Speaker 1: trailing their response rates. Most of those are red states. Also, 58 00:03:31,040 --> 00:03:34,520 Speaker 1: it's the poorest states that depend most on federal funding 59 00:03:34,639 --> 00:03:38,200 Speaker 1: and have lower census response rates. So won't the administration 60 00:03:38,320 --> 00:03:41,880 Speaker 1: be losing in that respect. I mean, that is certainly 61 00:03:41,920 --> 00:03:46,200 Speaker 1: the practical implications of the policy, but the policies are 62 00:03:46,240 --> 00:03:50,480 Speaker 1: almost always driven by the fact that the people who 63 00:03:50,560 --> 00:03:56,680 Speaker 1: are most pushing the pious accurate number counts is always 64 00:03:56,680 --> 00:04:00,320 Speaker 1: the blue state, the blue state New York, California. They're 65 00:04:00,360 --> 00:04:04,280 Speaker 1: always the one pushing the necessity and the urgency of 66 00:04:04,480 --> 00:04:07,920 Speaker 1: getting an account accurately because they're the states who are 67 00:04:08,000 --> 00:04:11,800 Speaker 1: always not getting their share of the pie, and so 68 00:04:11,960 --> 00:04:15,320 Speaker 1: from their perspective, they feel like they have to do 69 00:04:15,400 --> 00:04:18,400 Speaker 1: more than usual, always in every sense of theories, to 70 00:04:18,480 --> 00:04:22,279 Speaker 1: get counted. And so that perception seems to have lingered, 71 00:04:22,360 --> 00:04:25,760 Speaker 1: even though the reality on the ground is what you report, 72 00:04:25,839 --> 00:04:28,480 Speaker 1: which is that the red states are actually the one 73 00:04:28,600 --> 00:04:31,520 Speaker 1: trailing in the undercount. At the moment, New York is 74 00:04:31,560 --> 00:04:35,200 Speaker 1: one of those states that is trailing in the response rate. 75 00:04:35,480 --> 00:04:39,440 Speaker 1: You know, we concentrate on the federal funding that comes 76 00:04:39,480 --> 00:04:42,440 Speaker 1: to states based on the census count, and also of 77 00:04:42,440 --> 00:04:46,520 Speaker 1: course the congressional seats that are allocated, but there are 78 00:04:46,520 --> 00:04:50,680 Speaker 1: lots of other reasons to get to really representative count, 79 00:04:51,080 --> 00:04:55,320 Speaker 1: and that shows in that COVID databases are also using 80 00:04:55,600 --> 00:04:59,719 Speaker 1: population data from the census, so there are other reasons. Oh, 81 00:04:59,760 --> 00:05:04,840 Speaker 1: it's absolutely critical for all kinds of economic and demographic reasons, 82 00:05:05,000 --> 00:05:08,320 Speaker 1: and to be able to assess the policy implications of 83 00:05:08,360 --> 00:05:13,880 Speaker 1: many different formulaic grant programs and to determine, like you said, 84 00:05:14,200 --> 00:05:17,880 Speaker 1: whether certain counties are handling pandemics better than other counties. 85 00:05:17,920 --> 00:05:21,640 Speaker 1: All of that required usage of the census data. And 86 00:05:21,680 --> 00:05:24,200 Speaker 1: if you don't have that census data, you can't make 87 00:05:24,240 --> 00:05:28,159 Speaker 1: proper assessments. There's even immigration issues, which is the area 88 00:05:28,279 --> 00:05:31,320 Speaker 1: I work on in the in the context of what's 89 00:05:31,360 --> 00:05:34,039 Speaker 1: known as the e v BY program, which talks about 90 00:05:34,080 --> 00:05:36,680 Speaker 1: investing money in order to get a green card. That 91 00:05:36,839 --> 00:05:39,640 Speaker 1: is a hundred percent dependent on the census track and 92 00:05:39,680 --> 00:05:42,520 Speaker 1: what that census track is saying about. Who is unemployed 93 00:05:42,560 --> 00:05:46,120 Speaker 1: in that census track, and who is the what is 94 00:05:46,120 --> 00:05:49,120 Speaker 1: the average rate of income in that census track. And 95 00:05:49,160 --> 00:05:53,040 Speaker 1: so from that perspective, it is if we sat here 96 00:05:53,040 --> 00:05:54,800 Speaker 1: and did a two hour interview, I would not be 97 00:05:54,800 --> 00:05:56,680 Speaker 1: able to cover all of the things that the senses 98 00:05:56,760 --> 00:05:59,520 Speaker 1: data is used for. I won't subject you to a 99 00:05:59,600 --> 00:06:04,400 Speaker 1: two hour interview. So now there was a request to 100 00:06:04,480 --> 00:06:08,000 Speaker 1: Congress to extend the deadline, which passed the House and 101 00:06:08,520 --> 00:06:12,159 Speaker 1: is going nowhere in the Senate, is there anything else 102 00:06:12,240 --> 00:06:16,760 Speaker 1: that can be done to extend the deadline? So I 103 00:06:16,800 --> 00:06:19,839 Speaker 1: am hearing about lawsuits that people want to file to 104 00:06:19,920 --> 00:06:23,120 Speaker 1: try to get that deadline extended back to October. Those 105 00:06:23,200 --> 00:06:26,160 Speaker 1: of lawsuit has been filed, but they are imminent, and 106 00:06:26,240 --> 00:06:29,680 Speaker 1: so those lawsuits will try to get the deadline extended 107 00:06:29,760 --> 00:06:33,360 Speaker 1: under the theory that they violate the Administrative Procedure Act. 108 00:06:34,120 --> 00:06:38,159 Speaker 1: And in addition to those lawsuits, you have the idea 109 00:06:38,240 --> 00:06:40,120 Speaker 1: that maybe even if you don't put it in as 110 00:06:40,120 --> 00:06:44,360 Speaker 1: a sandalue bill, it's something that is not so outrageous 111 00:06:44,400 --> 00:06:46,839 Speaker 1: that it can be put into a COVID relief packet. 112 00:06:47,240 --> 00:06:50,040 Speaker 1: And that's the other options that's out there out of 113 00:06:50,120 --> 00:06:56,039 Speaker 1: the table. Last week, President Trump issued an executive memorandum 114 00:06:56,440 --> 00:07:00,120 Speaker 1: to exclude people in the country illegally. And they are 115 00:07:00,240 --> 00:07:05,719 Speaker 1: multiple lawsuits. Where does that stand? So the furthest lawsuit 116 00:07:05,800 --> 00:07:08,200 Speaker 1: along is the one that was filed in New York, 117 00:07:08,320 --> 00:07:10,360 Speaker 1: that was filed by the New York Attorney General. There 118 00:07:10,440 --> 00:07:13,360 Speaker 1: was two others, one filed by Tomas Cause and one 119 00:07:13,440 --> 00:07:17,280 Speaker 1: file in the Northern Districts of California by the State 120 00:07:17,280 --> 00:07:19,960 Speaker 1: of California. But the one in New York. They had 121 00:07:20,000 --> 00:07:23,760 Speaker 1: a hearing Tuesday, and as that hearing the judge, judge 122 00:07:23,760 --> 00:07:26,440 Speaker 1: ferments that he wanted to have briefing resolved by the 123 00:07:26,520 --> 00:07:29,880 Speaker 1: ends of August because of the fact that the census 124 00:07:29,880 --> 00:07:32,840 Speaker 1: have been moved up to the ends of September. And 125 00:07:32,920 --> 00:07:35,200 Speaker 1: the biggest question that he has to decide right now 126 00:07:35,320 --> 00:07:39,560 Speaker 1: is because the census statutes say that anything related to 127 00:07:39,720 --> 00:07:44,200 Speaker 1: apportion men, any challenge related to abortionment has a three 128 00:07:44,280 --> 00:07:47,360 Speaker 1: judge panel as opposed to a one judge panel. Is 129 00:07:47,440 --> 00:07:52,160 Speaker 1: this a challenge related to apportionment, which is not exactly 130 00:07:52,280 --> 00:07:54,480 Speaker 1: because we're not saying New York should have had two 131 00:07:54,520 --> 00:07:57,680 Speaker 1: million versus California should have had three million. We're not 132 00:07:57,720 --> 00:08:00,880 Speaker 1: saying that, But is it close enough to apportion then 133 00:08:01,360 --> 00:08:04,960 Speaker 1: that that should require a three judge panel, And he 134 00:08:05,000 --> 00:08:08,320 Speaker 1: says it does that its Department of Justice agrees, so 135 00:08:08,360 --> 00:08:11,160 Speaker 1: that they don't appeal that. Then what that would mean 136 00:08:11,440 --> 00:08:15,200 Speaker 1: is that that three judge panel in New York would 137 00:08:15,280 --> 00:08:17,520 Speaker 1: decide the merits of the case and then it could 138 00:08:17,520 --> 00:08:21,080 Speaker 1: go directly to the Supreme Court for an appeal. In 139 00:08:21,200 --> 00:08:26,360 Speaker 1: testimony before Congress, the director of the Census said that 140 00:08:26,440 --> 00:08:29,760 Speaker 1: the Census Bureau is trying to come up with methodologies 141 00:08:30,360 --> 00:08:36,559 Speaker 1: to implement President Trump's executive memo. What kind of methodologies 142 00:08:36,600 --> 00:08:40,600 Speaker 1: could they come up with? Well, so there's two or 143 00:08:40,679 --> 00:08:44,760 Speaker 1: three methodologies that the Department of Homeland Security has at 144 00:08:44,840 --> 00:08:50,000 Speaker 1: its disposal. The first is they that can come up 145 00:08:50,040 --> 00:08:54,280 Speaker 1: with estimates with entry exit data that they've been operating 146 00:08:54,320 --> 00:08:57,120 Speaker 1: with recently, because we now know how many people exit 147 00:08:57,320 --> 00:09:00,600 Speaker 1: the United States from Canada who enter, and we now 148 00:09:00,640 --> 00:09:02,599 Speaker 1: know how many people ex at the airports of the 149 00:09:02,679 --> 00:09:05,560 Speaker 1: United States, and so what we don't exactly know how 150 00:09:05,559 --> 00:09:07,840 Speaker 1: many people would exist from the land border of Mexico. 151 00:09:07,920 --> 00:09:09,960 Speaker 1: So we're gonna have a bit of an overcount, but 152 00:09:10,040 --> 00:09:12,000 Speaker 1: we'll be able to know for the last few years 153 00:09:12,000 --> 00:09:15,559 Speaker 1: how many visa overstays there have been on average. And 154 00:09:15,600 --> 00:09:17,600 Speaker 1: then the question is, well, how many people are here 155 00:09:17,640 --> 00:09:21,280 Speaker 1: who unlawfully crossed through the border, And they're they're gonna 156 00:09:21,320 --> 00:09:24,600 Speaker 1: have to come up with some estimates and take from 157 00:09:24,600 --> 00:09:27,040 Speaker 1: that estimate how many years are we talking about for 158 00:09:27,080 --> 00:09:29,800 Speaker 1: a year, and what are we subtracting in terms of 159 00:09:29,800 --> 00:09:33,280 Speaker 1: people who have been either removed or who have voluntarily left. 160 00:09:33,920 --> 00:09:37,080 Speaker 1: And so that the problem with that debate is that 161 00:09:37,200 --> 00:09:39,920 Speaker 1: debate always comes down in the line of foot far 162 00:09:40,000 --> 00:09:43,360 Speaker 1: between ten and twenty millions, and depending on what number 163 00:09:43,400 --> 00:09:47,200 Speaker 1: you choose, you're making as gramatic difference in the census. 164 00:09:47,320 --> 00:09:49,800 Speaker 1: And so that's the problem. And I mean, we know 165 00:09:49,840 --> 00:09:51,960 Speaker 1: what we know, but we also know what we don't know, 166 00:09:52,080 --> 00:09:55,400 Speaker 1: and what we don't know is literally a ten million 167 00:09:55,600 --> 00:09:58,960 Speaker 1: person spread, and that just makes too much of a 168 00:09:59,000 --> 00:10:03,000 Speaker 1: difference to leave it of guesswork. So Lynn, let's say 169 00:10:03,040 --> 00:10:08,760 Speaker 1: that the lawsuits fail and the Census Bureau completes its 170 00:10:08,880 --> 00:10:13,240 Speaker 1: data collection and you get this census result that is 171 00:10:13,320 --> 00:10:19,040 Speaker 1: questionable that scientists or sociologist question. Can anything be done 172 00:10:19,400 --> 00:10:24,839 Speaker 1: once the census data is collected to change it? Well, 173 00:10:24,880 --> 00:10:30,280 Speaker 1: so here's the complication. If you're challenging it based on 174 00:10:30,559 --> 00:10:32,960 Speaker 1: the status issue, well, that would have been resolved in 175 00:10:33,000 --> 00:10:35,200 Speaker 1: this lawsuit, so you couldn't do it on that. So 176 00:10:35,320 --> 00:10:39,360 Speaker 1: you have to challenge it on how many human beings 177 00:10:39,520 --> 00:10:43,559 Speaker 1: answered the census that you could verify have legal status 178 00:10:43,600 --> 00:10:46,400 Speaker 1: and say that number is more than what the government 179 00:10:46,480 --> 00:10:50,200 Speaker 1: gave us credit for. And so yes, you could challenge that, 180 00:10:50,280 --> 00:10:52,840 Speaker 1: and it would have that same three judge panels. But 181 00:10:52,960 --> 00:10:55,800 Speaker 1: the question is then you the challenger would have the 182 00:10:55,800 --> 00:10:59,760 Speaker 1: burden approved to show that the government's calculation was wrong, 183 00:11:00,320 --> 00:11:03,959 Speaker 1: and so that would require I think a set of 184 00:11:04,080 --> 00:11:08,560 Speaker 1: chords that was interested in finding that decision. Thanks Leon, 185 00:11:08,840 --> 00:11:13,680 Speaker 1: that's Leon Fresco, a partner at Hondon Knight. You're listening 186 00:11:13,720 --> 00:11:19,280 Speaker 1: to Bloombird Law with June Grassol. Some infighting among conservatives 187 00:11:19,360 --> 00:11:23,200 Speaker 1: could reshape the judicial selection process on the right, starting 188 00:11:23,200 --> 00:11:26,320 Speaker 1: with that new list of potential Supreme Court nominees that 189 00:11:26,480 --> 00:11:30,200 Speaker 1: President Trump has promised to release next month. A network 190 00:11:30,280 --> 00:11:33,160 Speaker 1: at conservative groups such as the Heritage Foundation and the 191 00:11:33,200 --> 00:11:36,760 Speaker 1: Federalist Society have helped President Trump on his mission to 192 00:11:36,800 --> 00:11:40,800 Speaker 1: make the judiciary more conservative. Recently, that movement has come 193 00:11:40,840 --> 00:11:44,680 Speaker 1: under fire from social conservatives, who say it's mainly delivered 194 00:11:44,679 --> 00:11:50,200 Speaker 1: business friendly judges, while conservative voters care more about restricting abortion, immigration, 195 00:11:50,280 --> 00:11:53,320 Speaker 1: and lgbt Q rights. Joining me is an authority on 196 00:11:53,360 --> 00:11:56,120 Speaker 1: the courts. Carl Tobias, a professor at the University of 197 00:11:56,200 --> 00:11:59,760 Speaker 1: Richmond Law School, Carl, let's start with Trump's mission to 198 00:12:00,080 --> 00:12:04,400 Speaker 1: have a more conservative federal judiciary. Have the Republicans been 199 00:12:04,520 --> 00:12:10,360 Speaker 1: ramping back up with judicial nominations. No, Actually, the nominations 200 00:12:10,400 --> 00:12:14,480 Speaker 1: and confirmations are moving rather slowly, I think in part 201 00:12:14,760 --> 00:12:19,440 Speaker 1: because of the bad optics if they're confirming judges when 202 00:12:19,480 --> 00:12:21,959 Speaker 1: they haven't done very much by way of a new 203 00:12:22,040 --> 00:12:26,800 Speaker 1: stimulus package, and so Leada McConnell seems to be holding back. 204 00:12:27,200 --> 00:12:30,480 Speaker 1: Though today there will be a closure vote and a 205 00:12:30,520 --> 00:12:35,720 Speaker 1: confirmation vote on Southern District nominee for New York named Cronin. 206 00:12:35,960 --> 00:12:39,280 Speaker 1: He has leap frogged ahead of a number of others, 207 00:12:39,320 --> 00:12:43,800 Speaker 1: for example Eastern District nominee Jujarati, who has been waiting 208 00:12:43,920 --> 00:12:48,360 Speaker 1: thirteen months for a confirmation vote. So there's some cherry 209 00:12:48,360 --> 00:12:52,600 Speaker 1: picking going on, um, but pretty limited in this three 210 00:12:52,600 --> 00:12:56,760 Speaker 1: week period which will end today when the Senate's returned. Uh, 211 00:12:56,800 --> 00:13:00,600 Speaker 1: they've only confirmed three district judges and so there are 212 00:13:00,600 --> 00:13:05,200 Speaker 1: many waiting. Let's turn now to the Supreme Court. Explain 213 00:13:05,280 --> 00:13:08,679 Speaker 1: why the president has promised to release a new list 214 00:13:08,920 --> 00:13:13,920 Speaker 1: of potential Supreme Court nominees. Well, I think President Trump 215 00:13:13,920 --> 00:13:17,400 Speaker 1: has decided to do that because he believes in part 216 00:13:17,720 --> 00:13:22,320 Speaker 1: that his election the first time hinged on his Supreme 217 00:13:22,360 --> 00:13:27,640 Speaker 1: Court list, which wasn't about twenty possibilities that he promised 218 00:13:27,679 --> 00:13:32,600 Speaker 1: he would pick from in filling vacancies and then justice 219 00:13:32,679 --> 00:13:37,760 Speaker 1: courses and Justice Kavanaugh were on the lists or that 220 00:13:37,920 --> 00:13:40,840 Speaker 1: list that he compiled, and so he's promising a new 221 00:13:40,880 --> 00:13:44,360 Speaker 1: list in September, which may include some of the people 222 00:13:44,360 --> 00:13:47,960 Speaker 1: on the earlier list, but a number of his appellates 223 00:13:48,280 --> 00:13:51,680 Speaker 1: appointees are likely to appear on that list as well. 224 00:13:52,559 --> 00:13:58,400 Speaker 1: Some social conservatives have criticized the network led by the 225 00:13:58,400 --> 00:14:02,520 Speaker 1: Federalist Society and the Heritage Its Foundation that has been 226 00:14:02,559 --> 00:14:06,400 Speaker 1: helping Trump choose judges and helping him with these lists, 227 00:14:06,440 --> 00:14:10,640 Speaker 1: and they say that they mainly delivered business friendly judges 228 00:14:11,200 --> 00:14:15,520 Speaker 1: failing right wing voters who care about restricting abortion, immigration, 229 00:14:15,600 --> 00:14:20,320 Speaker 1: and lgbt Q rights. Do you see that as having 230 00:14:20,360 --> 00:14:27,080 Speaker 1: happened well to some extent, I think there's substantial disappointment expressed, 231 00:14:27,160 --> 00:14:32,440 Speaker 1: I think most clearly by Senator Holly from Missouri about 232 00:14:32,480 --> 00:14:37,480 Speaker 1: those issues you were talking about, especially religious freedom, immigration 233 00:14:37,560 --> 00:14:40,840 Speaker 1: in other areas where the Supreme Court did not rule 234 00:14:40,920 --> 00:14:45,000 Speaker 1: in a way that Trump or many of his supporters 235 00:14:45,040 --> 00:14:50,920 Speaker 1: like Holly and others wanted uh, And so they're trying 236 00:14:50,960 --> 00:14:55,040 Speaker 1: to find a full proof way to guarantee that, but 237 00:14:55,440 --> 00:14:59,320 Speaker 1: that seems to elude them. It's very difficult. Um. Even 238 00:14:59,640 --> 00:15:02,440 Speaker 1: the I think there was a fair amount of vetting 239 00:15:02,480 --> 00:15:07,880 Speaker 1: for the two doest justices uh, and many reassurances. The 240 00:15:08,000 --> 00:15:11,800 Speaker 1: idea of going on the Supreme Court is that you 241 00:15:11,920 --> 00:15:17,520 Speaker 1: will be impartial, that you can't pre judge any particular issues. 242 00:15:17,640 --> 00:15:22,160 Speaker 1: So it's elusive, I think, and some people recognize that. 243 00:15:23,040 --> 00:15:26,600 Speaker 1: But you're right, those criticisms are there, and so there 244 00:15:26,800 --> 00:15:30,080 Speaker 1: is a lot of dispute about should they even compile this, 245 00:15:30,200 --> 00:15:32,600 Speaker 1: and if they do, how do they vet the people 246 00:15:32,640 --> 00:15:36,200 Speaker 1: to guarantee, as Paully says, that they'll deliver the results 247 00:15:36,320 --> 00:15:41,840 Speaker 1: that their proponents want. Holly has said that he would 248 00:15:42,200 --> 00:15:45,800 Speaker 1: vote to confirm Supreme Court justices only if they agree 249 00:15:45,920 --> 00:15:49,840 Speaker 1: that Roe v. Wade was wrongly decided, So he would 250 00:15:49,880 --> 00:15:53,640 Speaker 1: put the nominees in a position of having to say 251 00:15:53,680 --> 00:15:58,040 Speaker 1: that a case that is now president was wrongly decided. 252 00:15:58,280 --> 00:16:03,200 Speaker 1: Won't that put the nominees in a terror situation? Well could, 253 00:16:04,160 --> 00:16:08,640 Speaker 1: and of course they won't agree to anything of that sort. Uh, 254 00:16:08,680 --> 00:16:13,400 Speaker 1: And so it does seem like mission impossible, and even 255 00:16:13,520 --> 00:16:18,720 Speaker 1: some of all these friends have criticized that. So we'll 256 00:16:18,760 --> 00:16:21,440 Speaker 1: see how that all plays up. But apparently there's a 257 00:16:21,480 --> 00:16:24,480 Speaker 1: lot of controversy about how to compilable list and out 258 00:16:24,520 --> 00:16:27,560 Speaker 1: of that people to guarantee the results that you want, 259 00:16:28,320 --> 00:16:32,520 Speaker 1: and judges in nominees, to their credit, are not going 260 00:16:32,560 --> 00:16:36,720 Speaker 1: to commit beforehand, and so that's what we expect from 261 00:16:36,800 --> 00:16:40,360 Speaker 1: federal judges. The Federalist Society and Heritage Foundation have been 262 00:16:40,400 --> 00:16:42,840 Speaker 1: at this for a long time and they have a network. 263 00:16:43,000 --> 00:16:45,160 Speaker 1: I'm just wondering how President Trump intends to put a 264 00:16:45,200 --> 00:16:47,880 Speaker 1: new list together. Well, I think he's going back to 265 00:16:47,960 --> 00:16:53,760 Speaker 1: those people UM at the Federal Society and Heritage and 266 00:16:53,800 --> 00:16:57,680 Speaker 1: they're helping Leonard Leo, I think, who's a little advisor 267 00:16:57,800 --> 00:17:02,120 Speaker 1: on judges to the president, probably will have substantial input. 268 00:17:02,840 --> 00:17:07,400 Speaker 1: UH and their number of conservative groups like Judicial Confirmation 269 00:17:07,440 --> 00:17:11,600 Speaker 1: Network and others who are having I expect input, and 270 00:17:11,760 --> 00:17:15,159 Speaker 1: I would also expect people like Holly and the members 271 00:17:15,200 --> 00:17:19,720 Speaker 1: of the Judiciary Committee, especially on the Republican side, are 272 00:17:19,800 --> 00:17:22,399 Speaker 1: likely to want to have input and may well have input. 273 00:17:23,200 --> 00:17:26,320 Speaker 1: And so I don't think there'll be any lack of 274 00:17:26,880 --> 00:17:30,760 Speaker 1: people willing to help or names to be floated. But 275 00:17:30,840 --> 00:17:32,680 Speaker 1: I think also they'll go back to the core list 276 00:17:32,840 --> 00:17:39,040 Speaker 1: from UH and look at Trump's appointees of fifty three 277 00:17:39,040 --> 00:17:42,359 Speaker 1: of them, perhaps to the appellate bench, does seem like 278 00:17:42,400 --> 00:17:44,560 Speaker 1: the most likely choices. There are a couple of names 279 00:17:44,560 --> 00:17:49,000 Speaker 1: that keep on resurfacing, and one is Naomi Rao, who 280 00:17:49,320 --> 00:17:52,880 Speaker 1: was a very controversial appointee to the d C Circuit 281 00:17:52,960 --> 00:17:57,440 Speaker 1: Court of Appeals, and she has been a really reliable 282 00:17:57,560 --> 00:18:01,359 Speaker 1: vote for Trump, whether it's subpoenas for his financial records 283 00:18:01,480 --> 00:18:05,320 Speaker 1: or the prosecution of Michael Flynn. Is she trying out 284 00:18:05,880 --> 00:18:09,800 Speaker 1: for the Supreme Court? Well, as we know, and it 285 00:18:09,960 --> 00:18:13,520 Speaker 1: said before the DC Circuits the second most important court 286 00:18:13,560 --> 00:18:17,240 Speaker 1: in the country. Here it's been a springboard for many 287 00:18:17,480 --> 00:18:21,520 Speaker 1: to join the Supreme Court. Chief Justice Roberts, Justice Thomas 288 00:18:21,680 --> 00:18:25,800 Speaker 1: just Ginsberg, Relate Justice Celia all served on that court, 289 00:18:25,960 --> 00:18:28,480 Speaker 1: and so it shouldn't be surprising. And it gets exactly 290 00:18:28,520 --> 00:18:33,200 Speaker 1: those kinds of controversial, high profile cases that Judge Row 291 00:18:33,640 --> 00:18:37,760 Speaker 1: has been involved in. The cases are assigned randomly, but 292 00:18:38,000 --> 00:18:40,720 Speaker 1: you know, it's a small court. They're leving judges, and 293 00:18:40,800 --> 00:18:44,159 Speaker 1: so she seemed to draw an inordinate number of those 294 00:18:44,280 --> 00:18:47,840 Speaker 1: high profile cases that involved the president. And she has 295 00:18:47,920 --> 00:18:51,000 Speaker 1: generally come down on the side of the president in 296 00:18:51,200 --> 00:18:55,280 Speaker 1: writing opinions or defense, so people are looking at her closely. 297 00:18:55,720 --> 00:19:00,440 Speaker 1: She has very much defended executive power in trump de 298 00:19:00,640 --> 00:19:05,920 Speaker 1: regulatory initiatives. What issues do conservatives have with Raw Well, 299 00:19:05,960 --> 00:19:10,320 Speaker 1: I think that the DC Circuit docket hasn't served up 300 00:19:11,160 --> 00:19:15,680 Speaker 1: very many of the cases that social conservatives are concerned 301 00:19:15,720 --> 00:19:21,719 Speaker 1: about involving for example, abortion, immigration, UH, and those types 302 00:19:21,840 --> 00:19:25,440 Speaker 1: of issues religious freedom. Those rarely come to the DC 303 00:19:25,600 --> 00:19:30,200 Speaker 1: Circuit because it primarily looks at the majority of its 304 00:19:30,200 --> 00:19:35,920 Speaker 1: cases are appeals of administrative agency decisions regulatory decisions typically UH. 305 00:19:35,960 --> 00:19:40,240 Speaker 1: And she has much expertise in those areas, and so 306 00:19:40,400 --> 00:19:43,800 Speaker 1: I think that it's less clear how she might decide 307 00:19:44,400 --> 00:19:50,080 Speaker 1: the issues that trouble Auli and others the social conservatives. 308 00:19:50,080 --> 00:19:53,000 Speaker 1: How will she decide on religious freedom at the Supreme 309 00:19:53,040 --> 00:19:58,159 Speaker 1: Court or abortion or immigration? And she doesn't have much 310 00:19:58,200 --> 00:20:00,960 Speaker 1: at track records there, there's not much of a paper trail. 311 00:20:01,280 --> 00:20:04,480 Speaker 1: What about Judge any Coney Barrett, who is a Federal 312 00:20:04,520 --> 00:20:09,000 Speaker 1: Appeals Court judge in Chicago. Well, she's on the Seventh Circuit, 313 00:20:09,119 --> 00:20:12,359 Speaker 1: and I think the feeling among conservatives is she would 314 00:20:12,359 --> 00:20:18,280 Speaker 1: be a sure bet on those kinds of issues UM. 315 00:20:19,000 --> 00:20:21,919 Speaker 1: And they can look at her writings when she was 316 00:20:22,040 --> 00:20:25,080 Speaker 1: a law professor and looked at her opinions on the 317 00:20:25,160 --> 00:20:29,399 Speaker 1: Seventh Circuit. So she hasn't signed off on very many, 318 00:20:29,520 --> 00:20:32,280 Speaker 1: but I think they feel she's a much safer vote 319 00:20:32,560 --> 00:20:37,720 Speaker 1: for their views in terms of abortion, religious freedom, perhaps immigration, 320 00:20:38,400 --> 00:20:42,800 Speaker 1: UH and maybe some other social conservative kinds of issues 321 00:20:43,320 --> 00:20:47,719 Speaker 1: and so H. There is a paper trail there, and 322 00:20:47,800 --> 00:20:50,040 Speaker 1: I think they have a higher comfort level with her. 323 00:20:51,400 --> 00:20:55,880 Speaker 1: I understand that Conservatives were very upset by the rulings 324 00:20:55,920 --> 00:21:01,560 Speaker 1: of a Supreme Court this term on a portion immigration 325 00:21:01,840 --> 00:21:05,040 Speaker 1: and lgbt Q rights, But if you look at it, 326 00:21:05,400 --> 00:21:11,240 Speaker 1: their last nominee, Rhett Kavanaugh, consistently voted with the Conservatives 327 00:21:11,280 --> 00:21:14,040 Speaker 1: on the Court on those issues. So it seems as 328 00:21:14,119 --> 00:21:17,160 Speaker 1: if they did do their job, their so called job, 329 00:21:17,280 --> 00:21:21,680 Speaker 1: in picking him. I think that's right, more so than 330 00:21:21,760 --> 00:21:26,359 Speaker 1: Justice Corsage, who seems to be somewhat more independent, And 331 00:21:26,400 --> 00:21:29,240 Speaker 1: of course he did joined the majority in most the 332 00:21:29,320 --> 00:21:34,919 Speaker 1: opinion the lgbt Q k UH, and so there is 333 00:21:35,000 --> 00:21:37,400 Speaker 1: some difference that seems like between the two of them, 334 00:21:37,400 --> 00:21:41,400 Speaker 1: at least this term. And then Chief Justice Robert has 335 00:21:42,119 --> 00:21:47,879 Speaker 1: tended to be more concerned about institutional issues UH and 336 00:21:47,960 --> 00:21:53,520 Speaker 1: the Court's reputation and credibility in a number of those 337 00:21:53,600 --> 00:21:59,000 Speaker 1: cases as well, and he has often joined with the 338 00:21:59,119 --> 00:22:05,880 Speaker 1: Democratic pointees Ellen, many of the issues that are troubling 339 00:22:05,920 --> 00:22:09,440 Speaker 1: to some social conservatives, but not an abortion. An abortion. 340 00:22:09,520 --> 00:22:13,520 Speaker 1: He remained with the conservatives. Why I question all this, 341 00:22:13,720 --> 00:22:16,879 Speaker 1: you know, looking and and vetting, because it seems to 342 00:22:16,880 --> 00:22:23,600 Speaker 1: me that the most reliable conservative votes are Justices Clarence 343 00:22:23,640 --> 00:22:29,760 Speaker 1: Thomas and Samuel Alito, who were picked well before this process. Yes, 344 00:22:29,880 --> 00:22:33,000 Speaker 1: that's right, um, but maybe that just points out it's 345 00:22:33,080 --> 00:22:37,200 Speaker 1: very difficult to predict exactly how people will resolve cases. 346 00:22:37,800 --> 00:22:42,639 Speaker 1: So I think, um, Democrats on the Judiciary Committee and 347 00:22:42,720 --> 00:22:46,800 Speaker 1: then it were concerned that both of those justices um 348 00:22:46,920 --> 00:22:50,439 Speaker 1: mant to be quite conservative, and they have prooves to be, 349 00:22:51,160 --> 00:22:55,040 Speaker 1: and so it's not always easy to do to predict 350 00:22:55,359 --> 00:22:59,359 Speaker 1: where I would justice aside, especially one who's open minded 351 00:22:59,400 --> 00:23:01,560 Speaker 1: and side be cased on the law and the fact 352 00:23:02,440 --> 00:23:05,560 Speaker 1: the Supreme Court is getting the highest approval ratings in 353 00:23:05,600 --> 00:23:09,760 Speaker 1: a decade, with widespread support for how the justices are 354 00:23:09,800 --> 00:23:13,719 Speaker 1: doing their job across the ideological spectrum, according to a 355 00:23:13,720 --> 00:23:19,280 Speaker 1: new Gallop pole released Wednesday. What do you make of that? Well, 356 00:23:19,520 --> 00:23:24,520 Speaker 1: I guess the American people like courts that besides the 357 00:23:24,600 --> 00:23:27,560 Speaker 1: law and the cases on the law, and the fact 358 00:23:28,240 --> 00:23:33,639 Speaker 1: that doesn't seem so partisan or ideologically divided, though we'll 359 00:23:33,680 --> 00:23:39,479 Speaker 1: see um so this term. I think people who favor 360 00:23:39,600 --> 00:23:44,919 Speaker 1: more moderate decisions and less partisanship were relieved by some 361 00:23:45,000 --> 00:23:48,879 Speaker 1: of the decisions. But it really depends on what happens 362 00:23:48,880 --> 00:23:51,800 Speaker 1: in the longer term, So we'll have to just see 363 00:23:52,000 --> 00:23:55,600 Speaker 1: how that all plays out in subsequent terms and whether 364 00:23:55,720 --> 00:23:58,879 Speaker 1: their new justices and who wins the election in November. 365 00:23:59,400 --> 00:24:01,280 Speaker 1: Do you think that the Supreme Court is going to 366 00:24:01,359 --> 00:24:06,000 Speaker 1: be a real issue in the upcoming election, Well, I 367 00:24:06,040 --> 00:24:10,000 Speaker 1: think it's likely because President Trump, I think, has promised 368 00:24:10,000 --> 00:24:12,520 Speaker 1: that he would make it an issue. Even it's one 369 00:24:12,560 --> 00:24:15,960 Speaker 1: of his great success stories, and maybe the most important 370 00:24:16,000 --> 00:24:19,520 Speaker 1: one is is appoint each to the Spreme Court and 371 00:24:19,560 --> 00:24:22,760 Speaker 1: certainly to the Federal Appeals Court, who will be serving 372 00:24:22,840 --> 00:24:27,280 Speaker 1: for decades after he left the Thanks Carl. That's Professor 373 00:24:27,320 --> 00:24:31,720 Speaker 1: Carl Tobias at the University of Richmond Law School. A 374 00:24:31,840 --> 00:24:34,920 Speaker 1: bail hearing by Zoom for the seventeen year old accused 375 00:24:34,920 --> 00:24:38,040 Speaker 1: of hacking some of the world's highest profile Twitter accounts 376 00:24:38,200 --> 00:24:42,000 Speaker 1: offered some surprises about the teenagers past brushes with the law, 377 00:24:42,359 --> 00:24:45,240 Speaker 1: and then the hearing about the hacker was hacked itself 378 00:24:45,440 --> 00:24:48,359 Speaker 1: and raunchy images were shown, bringing the hearing to an 379 00:24:48,400 --> 00:24:53,800 Speaker 1: abrupt close, joining me as Bloomberg Legal reporter Christopher domesh So, Chris, 380 00:24:53,840 --> 00:24:56,960 Speaker 1: this was a bail hearing for the seventeen year old 381 00:24:57,280 --> 00:25:00,639 Speaker 1: grandm Ivan Clark, who was charged with hacking into the 382 00:25:00,680 --> 00:25:06,520 Speaker 1: accounts of notable businesspeople, celebrities, and politicians, including former President 383 00:25:06,600 --> 00:25:11,879 Speaker 1: Barack Obama, Amazon chief executive Jeff Bezos, and Tesla CEO. 384 00:25:12,040 --> 00:25:15,399 Speaker 1: Elon Musk tell us what happened at his bail hearing. 385 00:25:15,840 --> 00:25:19,399 Speaker 1: So it was your pretty typical zoom court hearing. It 386 00:25:19,480 --> 00:25:21,280 Speaker 1: took a little while to get going. There were a 387 00:25:21,280 --> 00:25:23,680 Speaker 1: lot of different people on the line, obviously given the 388 00:25:23,760 --> 00:25:29,040 Speaker 1: high profile nature of the case. And eventually they got started. 389 00:25:29,640 --> 00:25:32,600 Speaker 1: And the argument that the lawyer was making is at 390 00:25:32,600 --> 00:25:36,080 Speaker 1: his bail, which is seven twenty five thousand dollars, it's 391 00:25:36,200 --> 00:25:39,880 Speaker 1: way disproportionate to the alleged loss in the case, which 392 00:25:39,920 --> 00:25:43,640 Speaker 1: is about hundred seventeen thousand. He had made his arguments. 393 00:25:43,640 --> 00:25:46,479 Speaker 1: The prosecutor had argued against that, saying that they had 394 00:25:46,520 --> 00:25:48,960 Speaker 1: only begun to examine the you know, the depth of 395 00:25:49,000 --> 00:25:51,879 Speaker 1: this conduct. And it was hearing the end of the 396 00:25:51,920 --> 00:25:54,359 Speaker 1: hearing um and it seemed like the judge was about 397 00:25:54,400 --> 00:25:58,520 Speaker 1: to make a ruling when some pretty graphic images came 398 00:25:58,600 --> 00:26:01,879 Speaker 1: on the screen. I mean, we've had, you know, obviously 399 00:26:02,000 --> 00:26:04,119 Speaker 1: as the pandemic's gone on, we've had a lot of 400 00:26:04,359 --> 00:26:08,480 Speaker 1: interruptions on zoone calls and teleconferences between dogs barking and 401 00:26:08,560 --> 00:26:11,320 Speaker 1: babies and things like that, But this is definitely a 402 00:26:11,320 --> 00:26:14,679 Speaker 1: first for me in terms of graphic content. Just remind 403 00:26:14,760 --> 00:26:17,360 Speaker 1: us what the charges are against him and what he's 404 00:26:17,359 --> 00:26:20,040 Speaker 1: accused of doing. So the charges are and he's got 405 00:26:20,080 --> 00:26:26,000 Speaker 1: about thirty charges against him, including computer fraud, UH, communications fraud, 406 00:26:26,680 --> 00:26:31,760 Speaker 1: major organized fraud, and he's accused of kind of organizing 407 00:26:31,800 --> 00:26:35,600 Speaker 1: this this hack on you know, more than thirty different accounts, 408 00:26:35,600 --> 00:26:40,440 Speaker 1: Elon Musk, Barack Obama among them, and you know, basically 409 00:26:40,480 --> 00:26:44,800 Speaker 1: sending out messages on those accounts that after bitcoin donations, 410 00:26:44,840 --> 00:26:47,720 Speaker 1: and that's the hundred and seventeen thousand dollars that they're 411 00:26:47,760 --> 00:26:51,399 Speaker 1: alleged is the loss in the cases that people responded 412 00:26:51,440 --> 00:26:54,760 Speaker 1: to those tweets by sending bitcoin to him. UM, we 413 00:26:54,840 --> 00:26:59,080 Speaker 1: don't know a whole lot about um the evidence right now, UM, 414 00:26:59,119 --> 00:27:02,080 Speaker 1: and what's going on very early in the case, UM, 415 00:27:02,119 --> 00:27:06,320 Speaker 1: and mostly UH the arguments so far been about bail 416 00:27:06,760 --> 00:27:09,359 Speaker 1: and that sort of thing, so we're still waiting to 417 00:27:09,400 --> 00:27:12,320 Speaker 1: hear a lot of details about what prosecutors are alleging. 418 00:27:12,600 --> 00:27:15,560 Speaker 1: During the bail hearing, it was revealed that his residence 419 00:27:15,880 --> 00:27:19,800 Speaker 1: was searched a year before the hat Yeah, so last 420 00:27:19,840 --> 00:27:23,120 Speaker 1: August um there was a search warrant served at his residence. 421 00:27:23,200 --> 00:27:27,199 Speaker 1: They seized about fifteen thousand dollars in cash, his phones, 422 00:27:27,480 --> 00:27:31,680 Speaker 1: some computer hardware, and they froze a bit max account 423 00:27:32,000 --> 00:27:35,440 Speaker 1: that contained not sure exactly how many bitcoin were in there, 424 00:27:35,440 --> 00:27:38,680 Speaker 1: but probably about on the bar of four hundreds something 425 00:27:38,760 --> 00:27:44,359 Speaker 1: like that. We're not entirely clear what the investigation was 426 00:27:44,440 --> 00:27:48,280 Speaker 1: the results of His lawyers called it a joint investigation 427 00:27:48,359 --> 00:27:52,359 Speaker 1: between the Santa Clara, California District Attorney's office and the 428 00:27:52,440 --> 00:27:56,160 Speaker 1: Hillsborough County UM State's attorney in Florida, but the Florida 429 00:27:56,160 --> 00:27:58,359 Speaker 1: Aureadis said they were only there to help serve the 430 00:27:58,400 --> 00:28:03,119 Speaker 1: search warrant regard lists. The investigation resulted in agreement between 431 00:28:03,160 --> 00:28:07,280 Speaker 1: Clark and the Florida and California authorities in which he 432 00:28:07,320 --> 00:28:11,760 Speaker 1: would surrender a hundred bitcoin to them and they would 433 00:28:11,760 --> 00:28:14,040 Speaker 1: return the rest of his property, and he admitted no 434 00:28:14,119 --> 00:28:17,359 Speaker 1: wrongdoing and he wasn't prosecuted. We don't know really what 435 00:28:17,400 --> 00:28:20,040 Speaker 1: the investigation is, but they have said in core papers 436 00:28:20,040 --> 00:28:22,480 Speaker 1: that it was into a sim swap scheme where you know, 437 00:28:22,480 --> 00:28:25,160 Speaker 1: hackers kind of take over a mobile phone in order 438 00:28:25,240 --> 00:28:29,840 Speaker 1: to access personal information, and the authorities in Florida said 439 00:28:29,880 --> 00:28:32,800 Speaker 1: that it involved depths from California residence of about a 440 00:28:32,840 --> 00:28:35,919 Speaker 1: million dollars. The New York Times has linked Clark to 441 00:28:36,000 --> 00:28:39,960 Speaker 1: a similar scheme where Seattle tech entrepreneur was the subject 442 00:28:39,960 --> 00:28:42,240 Speaker 1: of a sim swap the hack. During the hearing, his 443 00:28:42,320 --> 00:28:46,200 Speaker 1: lawyers said that the hundred bitcoins Clark agreed to forfeit 444 00:28:46,600 --> 00:28:52,520 Speaker 1: represented about of the cryptocurrency in Clark's account. So when 445 00:28:52,560 --> 00:28:54,440 Speaker 1: you do the map, does that mean he has about 446 00:28:54,440 --> 00:28:57,320 Speaker 1: three point six million dollars in his account? And how 447 00:28:57,360 --> 00:29:01,000 Speaker 1: did this seventeen year old get that money? So he 448 00:29:01,200 --> 00:29:04,440 Speaker 1: said before that this was all These were all bitcoins 449 00:29:04,440 --> 00:29:07,360 Speaker 1: that he made trading, and his lawyer did say during 450 00:29:07,360 --> 00:29:10,280 Speaker 1: the bail hearing that he started with ten bitcoin and 451 00:29:10,320 --> 00:29:12,560 Speaker 1: he was just a cryptocurrency trader and he made all 452 00:29:12,600 --> 00:29:14,680 Speaker 1: the money through trading. So as far as we know, 453 00:29:15,200 --> 00:29:17,600 Speaker 1: if you do the math, he probably has about four 454 00:29:17,680 --> 00:29:21,760 Speaker 1: hundred bitcoins. You know, it's a pretty inherent security flaw 455 00:29:22,040 --> 00:29:24,959 Speaker 1: you know for any tech company is that you know, 456 00:29:25,080 --> 00:29:29,120 Speaker 1: you have vast armies of people, you know, young people 457 00:29:29,280 --> 00:29:32,480 Speaker 1: team to have grown up with technology, who have you 458 00:29:32,680 --> 00:29:37,040 Speaker 1: spent years and years honing their skills, maybe operating in bedrooms, 459 00:29:37,080 --> 00:29:41,520 Speaker 1: you know, um what have you and they are just 460 00:29:41,680 --> 00:29:44,760 Speaker 1: as able to you know, conduct a sophisticated hack on 461 00:29:44,840 --> 00:29:48,240 Speaker 1: a big company like Twitter as you know, maybe a 462 00:29:48,320 --> 00:29:52,880 Speaker 1: professionally trained team of hackers who are paid and recruited. 463 00:29:53,200 --> 00:29:56,040 Speaker 1: It's definitely something they need to worry about. So the 464 00:29:56,120 --> 00:30:00,400 Speaker 1: judge left the bail at seven five thousand dollars correct, 465 00:30:00,840 --> 00:30:04,080 Speaker 1: but eliminated the requirements that he proved proved where the 466 00:30:04,080 --> 00:30:08,640 Speaker 1: bail money came from. His lawyer successfully argued that because 467 00:30:08,720 --> 00:30:12,960 Speaker 1: they starts in California and Florida had returned those proceeds 468 00:30:13,000 --> 00:30:16,400 Speaker 1: to him, they and he wasn't prosecuted and admitted no wrongdoing, 469 00:30:16,680 --> 00:30:20,960 Speaker 1: that they couldn't argue that they were illegally appaid. Thanks Chris, 470 00:30:21,200 --> 00:30:24,920 Speaker 1: that's Bloomberg Legal reporter Christopher dol Mesh. I'm June Grasso. 471 00:30:25,120 --> 00:30:27,160 Speaker 1: Thanks so much for listening, and remember to Tune in 472 00:30:27,160 --> 00:30:29,680 Speaker 1: to The Bloomberg Law Show every week night, atten pm 473 00:30:29,720 --> 00:30:31,280 Speaker 1: Eastern on Bloomberg Radio