1 00:00:00,240 --> 00:00:02,360 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,280 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,400 --> 00:00:07,200 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,920 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,240 --> 00:00:15,800 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,800 --> 00:00:18,400 Speaker 1: of dollars doing it. To help support our mission of 7 00:00:18,440 --> 00:00:20,720 Speaker 1: making all of us hate each other, less hate the 8 00:00:20,760 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. 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We have an amazing show for everybody today. 19 00:01:08,760 --> 00:01:10,959 Speaker 1: When do we have Prisoul? All sorts of big stories 20 00:01:10,959 --> 00:01:13,240 Speaker 1: in the news this morning, So we now have some 21 00:01:13,280 --> 00:01:16,080 Speaker 1: pretty bombshell revelations about the fact. I remember that debate 22 00:01:16,160 --> 00:01:19,200 Speaker 1: with Trump and Biden, and just days later, Trump reveals 23 00:01:19,200 --> 00:01:23,320 Speaker 1: he's had COVID And we had this clue because Chris Christy, 24 00:01:23,760 --> 00:01:26,160 Speaker 1: who had been in the debate prep also got super 25 00:01:26,520 --> 00:01:28,919 Speaker 1: sick with COVID, almost died. Actually it was in the hospital. 26 00:01:29,000 --> 00:01:31,959 Speaker 1: Was very here him in the hospital. That's exactly right. 27 00:01:32,040 --> 00:01:35,840 Speaker 1: So now we know that Trump had in fact tested 28 00:01:35,959 --> 00:01:39,120 Speaker 1: positive before that debate. He then took a negative test 29 00:01:39,160 --> 00:01:40,880 Speaker 1: and was like, oh, well, that's the right one. So 30 00:01:40,920 --> 00:01:44,080 Speaker 1: we're just going with that. So pretty revealing about the 31 00:01:44,160 --> 00:01:49,840 Speaker 1: character of this individual. Also big news over at CNN Surprise, surprise, 32 00:01:50,120 --> 00:01:55,560 Speaker 1: they actually took action against Chris Cuomo. He is indefinitely suspended. 33 00:01:55,920 --> 00:01:58,000 Speaker 1: We'll tell you all the details there and how long 34 00:01:58,040 --> 00:02:01,280 Speaker 1: we think that is likely to last. Also some updates 35 00:02:01,360 --> 00:02:04,240 Speaker 1: about that tennis player Pun Shwai who was missing, and 36 00:02:04,280 --> 00:02:06,880 Speaker 1: now there's a lot of questions about just how safe 37 00:02:06,960 --> 00:02:08,960 Speaker 1: she is and how much she's being controlled, how much 38 00:02:09,000 --> 00:02:12,600 Speaker 1: he's being censored. The Tennis Association became a big move 39 00:02:12,600 --> 00:02:15,040 Speaker 1: of pulling all of their tournaments out of China, quite 40 00:02:15,080 --> 00:02:18,480 Speaker 1: different from how the NBA responded when there was pressure 41 00:02:18,480 --> 00:02:20,919 Speaker 1: with regards to China, so we'll talk about that. Also, 42 00:02:21,000 --> 00:02:27,440 Speaker 1: the Gallad Maxwell trial is ongoing, some big, big revelations there, 43 00:02:28,000 --> 00:02:30,519 Speaker 1: But we wanted to start with the fact that there 44 00:02:30,560 --> 00:02:34,080 Speaker 1: is now officially a case of omicron here in the 45 00:02:34,160 --> 00:02:37,639 Speaker 1: United States. Doctor Fauci informed us yesterday. Let's take a 46 00:02:37,720 --> 00:02:39,840 Speaker 1: listen to some of the details there. As some of 47 00:02:39,840 --> 00:02:43,160 Speaker 1: you may have heard, the California and San Francisco Departments 48 00:02:43,200 --> 00:02:47,720 Speaker 1: of Public Health and the CDC have confirmed that a 49 00:02:47,800 --> 00:02:52,000 Speaker 1: recent case of COVID nineteen among an individual in California 50 00:02:52,400 --> 00:02:57,440 Speaker 1: was caused by the omicron variant. Genomic sequencing was conducted 51 00:02:57,600 --> 00:03:01,160 Speaker 1: at the University of California at San Francisco, Go and 52 00:03:01,240 --> 00:03:05,560 Speaker 1: the sequence was confirmed at the CDC as being consistent 53 00:03:05,600 --> 00:03:08,200 Speaker 1: with the omicron variant. So I know there are a 54 00:03:08,200 --> 00:03:10,760 Speaker 1: lot of questions, but here's what we know right now. 55 00:03:11,360 --> 00:03:15,200 Speaker 1: The individual was a traveler who returned from South Africa 56 00:03:15,240 --> 00:03:20,000 Speaker 1: on November twenty second and tested positive on November twenty ninth. 57 00:03:20,840 --> 00:03:25,200 Speaker 1: The individual is self quarantining and all close contacts have 58 00:03:25,320 --> 00:03:29,919 Speaker 1: been contacted and all close contexts thus far have tested negative. 59 00:03:30,760 --> 00:03:35,800 Speaker 1: The individual was fully vaccinated and experienced mild symptoms which 60 00:03:35,880 --> 00:03:39,760 Speaker 1: are improving at this point. So this is the first 61 00:03:39,880 --> 00:03:44,960 Speaker 1: confirmed case of COVID nineteen caused by the omicron variant 62 00:03:45,040 --> 00:03:48,640 Speaker 1: detected in the United States. And as all of you know, 63 00:03:48,680 --> 00:03:51,200 Speaker 1: because we've been discussing this, we knew that it was 64 00:03:51,320 --> 00:03:54,480 Speaker 1: just a matter of time before the first case of 65 00:03:54,480 --> 00:03:58,560 Speaker 1: omicron would be detected in the United States. And as 66 00:03:58,600 --> 00:04:00,320 Speaker 1: you know, we know, I've been saying it, and my 67 00:04:00,440 --> 00:04:02,800 Speaker 1: colleagues on the medical team and others have been saying 68 00:04:02,800 --> 00:04:05,760 Speaker 1: that we know what we need to do to protect people. 69 00:04:06,680 --> 00:04:10,560 Speaker 1: Get vaccinated if you're not already vaccinated, Get boosted if 70 00:04:10,600 --> 00:04:13,040 Speaker 1: you've been vaccinated for more than six months with an 71 00:04:13,120 --> 00:04:17,120 Speaker 1: mRNA or two months with Jay and Jay, and all 72 00:04:17,160 --> 00:04:20,280 Speaker 1: the other things we've been talking about, getting your children vaccinated, 73 00:04:20,520 --> 00:04:25,960 Speaker 1: masking in indoor congregates, settings, et cetera. So this shouldn't 74 00:04:25,960 --> 00:04:28,440 Speaker 1: be a big surprise, something that's been expected. We knew 75 00:04:28,440 --> 00:04:31,640 Speaker 1: omicron had spread to all sorts of corners of the globe. 76 00:04:31,760 --> 00:04:35,240 Speaker 1: This individual actually came from South Africa before South Africa 77 00:04:35,320 --> 00:04:38,360 Speaker 1: had even flagged for the world. That's right, the existence 78 00:04:38,480 --> 00:04:41,640 Speaker 1: of the omicron variant. We still know very little about 79 00:04:41,640 --> 00:04:44,480 Speaker 1: how transmissible it is, how severe the disease is all 80 00:04:44,520 --> 00:04:47,000 Speaker 1: of those things, but of course everyone is paying close 81 00:04:47,000 --> 00:04:50,080 Speaker 1: attention and the market is still freaking out about this. 82 00:04:50,240 --> 00:04:52,200 Speaker 1: Let's take a look at this tear sheet that we 83 00:04:52,240 --> 00:04:54,440 Speaker 1: can throw up on the screen from the New York 84 00:04:54,520 --> 00:04:57,440 Speaker 1: Post Stock Sync. After Omicron makes way to the US 85 00:04:57,720 --> 00:05:01,120 Speaker 1: Dow Jones industrial average plummeted four hundred sixty two points, 86 00:05:01,440 --> 00:05:03,200 Speaker 1: or more than one point three percent, as it became 87 00:05:03,279 --> 00:05:07,000 Speaker 1: clear the US would not escape the latest COVID wave, 88 00:05:07,120 --> 00:05:09,040 Speaker 1: at least it doesn't look like that, and we are 89 00:05:09,080 --> 00:05:12,320 Speaker 1: seeing increases in cases here as well, just overall, not 90 00:05:12,440 --> 00:05:15,520 Speaker 1: just with Omicron. Markets actually had started the day, they say, 91 00:05:15,560 --> 00:05:18,360 Speaker 1: with relative optimism. The TAO was up, but when South 92 00:05:18,400 --> 00:05:21,159 Speaker 1: Africa reported nearly twice as many new COVID cases on 93 00:05:21,200 --> 00:05:23,840 Speaker 1: Wednesday compared with Tuesday, they started falling. And then when 94 00:05:23,880 --> 00:05:27,120 Speaker 1: the CDC said Omicron had been identified in a fully 95 00:05:27,200 --> 00:05:30,440 Speaker 1: vaccinated person in California who had recently traveled to South Africa, 96 00:05:30,800 --> 00:05:34,800 Speaker 1: the bottom fell out. The White House is responding with 97 00:05:34,880 --> 00:05:39,160 Speaker 1: some relatively modest changes to their travel restrictions. Let's put 98 00:05:39,160 --> 00:05:42,320 Speaker 1: this Politico tear sheet up on the screen. So initially 99 00:05:42,360 --> 00:05:46,400 Speaker 1: they considered some more onerous burdens for people who are 100 00:05:46,440 --> 00:05:51,279 Speaker 1: traveling internationally. Effectively, they were considering quarantines after you get 101 00:05:51,320 --> 00:05:54,680 Speaker 1: here to make sure, make extra super sure that you 102 00:05:54,760 --> 00:05:58,360 Speaker 1: don't have coronavirus before you are released into the general population. 103 00:05:58,800 --> 00:06:01,520 Speaker 1: They have scaled that bag. Now their plan is so 104 00:06:01,720 --> 00:06:04,320 Speaker 1: previously you had to get a test within three days 105 00:06:04,440 --> 00:06:07,680 Speaker 1: of your trip if you were vaccinated. Now everybody has 106 00:06:07,720 --> 00:06:11,400 Speaker 1: to get a negative test within one day of their trip. 107 00:06:11,720 --> 00:06:14,560 Speaker 1: So that's the shift, which again is relatively modest. Their 108 00:06:14,680 --> 00:06:17,279 Speaker 1: overall response, in addition to what I think at this 109 00:06:17,320 --> 00:06:20,599 Speaker 1: point is just like foolish and wrongheaded and punitive, frankly 110 00:06:20,640 --> 00:06:24,799 Speaker 1: travel restrictions from countries in the southern part of Africa. 111 00:06:25,240 --> 00:06:27,400 Speaker 1: But in addition to that, they want to encourage boosters. 112 00:06:27,440 --> 00:06:30,680 Speaker 1: They want to encourage testing. They're going to start covering, 113 00:06:30,880 --> 00:06:34,360 Speaker 1: having insurance cover at home tests for people so long, right, 114 00:06:34,400 --> 00:06:36,920 Speaker 1: I mean, this was obvious stuff. They're going to give 115 00:06:36,920 --> 00:06:39,440 Speaker 1: paid time off for people who want to go get boosters. 116 00:06:39,839 --> 00:06:41,600 Speaker 1: They think that the best way to deal with this, 117 00:06:41,800 --> 00:06:44,560 Speaker 1: according to what's come out just this morning, is not 118 00:06:44,720 --> 00:06:47,720 Speaker 1: to do lockdowns and not to do super onerous burdens 119 00:06:47,720 --> 00:06:51,200 Speaker 1: on people's lives, but to continue to encourage vaccinations, to 120 00:06:51,240 --> 00:06:54,160 Speaker 1: continue to encourage boosters, and to make some sort of 121 00:06:54,240 --> 00:06:56,800 Speaker 1: modest changes like this tinkering around the edges of the 122 00:06:57,320 --> 00:07:00,320 Speaker 1: travel testing regime. My worry on this crystal that this 123 00:07:00,360 --> 00:07:02,359 Speaker 1: will be the precursor and then they're going to point 124 00:07:02,400 --> 00:07:05,360 Speaker 1: to people who you know, people aren't getting enough vaccination. 125 00:07:05,440 --> 00:07:07,400 Speaker 1: I mean, look at this point, if you're not vaccinated, 126 00:07:07,440 --> 00:07:10,280 Speaker 1: it's a very conscious choice, and I doubt very much 127 00:07:10,360 --> 00:07:12,440 Speaker 1: expect on the edges that people are going to be 128 00:07:12,480 --> 00:07:15,280 Speaker 1: pushed over the case or over the edge in order 129 00:07:15,320 --> 00:07:17,720 Speaker 1: to actually do so. So from this point forward, is 130 00:07:17,760 --> 00:07:21,080 Speaker 1: this the precursor to perhaps the more onerous restrictions. I 131 00:07:21,120 --> 00:07:23,760 Speaker 1: simply don't know. It could be laid out. Like you said, 132 00:07:23,800 --> 00:07:26,040 Speaker 1: the fact that they were considering that one week quarantine 133 00:07:26,040 --> 00:07:30,000 Speaker 1: and Australia type policy for any international traveler to the 134 00:07:30,080 --> 00:07:32,280 Speaker 1: United States and more, a lot of it does seem 135 00:07:32,360 --> 00:07:34,520 Speaker 1: like theater, and that's what we were pointing to on 136 00:07:35,480 --> 00:07:38,200 Speaker 1: the travel ban and the restrictions. We have no idea 137 00:07:38,240 --> 00:07:41,440 Speaker 1: where omicron came from. There's actually not necessarily a lot 138 00:07:41,480 --> 00:07:45,480 Speaker 1: of evidence that even originated in South Africa, and it 139 00:07:45,520 --> 00:07:48,160 Speaker 1: may have been in Botswana. It also was in Europe. 140 00:07:48,240 --> 00:07:51,560 Speaker 1: So look, we have literally no idea that's right, and 141 00:07:51,600 --> 00:07:54,080 Speaker 1: you know you in point to these little things which 142 00:07:54,120 --> 00:07:57,040 Speaker 1: always just revealed to me how ridiculous this country is. 143 00:07:57,440 --> 00:08:00,880 Speaker 1: In Britain and in Germany, rapid tests are either free 144 00:08:01,000 --> 00:08:03,480 Speaker 1: or they are one dollar. Here in the US, I 145 00:08:03,480 --> 00:08:05,880 Speaker 1: can tell you when I had COVID and I encourage 146 00:08:05,880 --> 00:08:09,440 Speaker 1: everybody go out and get those rapid antigen at home tests. 147 00:08:09,440 --> 00:08:10,960 Speaker 1: And I was like, oh, they're not that bad. They're 148 00:08:11,000 --> 00:08:13,320 Speaker 1: only twenty five dollars. I think at the end of it, 149 00:08:13,360 --> 00:08:16,480 Speaker 1: I spent about one hundred bucks, actually more one hundred 150 00:08:16,480 --> 00:08:19,040 Speaker 1: and fifty dollars on those rapid tests. Look, it's fine 151 00:08:19,040 --> 00:08:20,760 Speaker 1: for me, but for a lot of people, that's a 152 00:08:20,800 --> 00:08:22,880 Speaker 1: lot of money. I probably spent hundreds of dollars. I 153 00:08:22,920 --> 00:08:24,400 Speaker 1: was going to say, I mean, I've got kids. You 154 00:08:24,440 --> 00:08:27,600 Speaker 1: had the PCRs too, ever, your kids, that's right. Every 155 00:08:27,640 --> 00:08:31,440 Speaker 1: time anyone has anything, yeah, you know, from sniffles to 156 00:08:31,520 --> 00:08:34,480 Speaker 1: stomach issue, anything, just give them a test just to 157 00:08:34,520 --> 00:08:37,840 Speaker 1: make sure right. And so yeah, we've spent hundreds of 158 00:08:37,880 --> 00:08:40,240 Speaker 1: dollars on those things, which for me is not a 159 00:08:40,320 --> 00:08:42,520 Speaker 1: big deal, but for a lot of people that's a 160 00:08:43,040 --> 00:08:45,120 Speaker 1: lot of them I mean twenty five dollars. If you're 161 00:08:45,160 --> 00:08:48,439 Speaker 1: working a minimum wage job, that's multiple hours that you're 162 00:08:48,480 --> 00:08:52,200 Speaker 1: working just to afford one test. And then yeah, the 163 00:08:52,240 --> 00:08:55,280 Speaker 1: PCR test that if you're a parent, your kid has 164 00:08:55,320 --> 00:08:58,199 Speaker 1: to get, not even if they had COVID, but if 165 00:08:58,200 --> 00:09:00,360 Speaker 1: they were exposed to anyone who had cod that at 166 00:09:00,360 --> 00:09:03,439 Speaker 1: school they have to This is the policies are different 167 00:09:03,480 --> 00:09:05,600 Speaker 1: at every school district, but at least in the districts 168 00:09:05,600 --> 00:09:08,360 Speaker 1: around where I live, this is basically what the standard 169 00:09:08,360 --> 00:09:11,120 Speaker 1: has been. If they have to quarantine, they have to 170 00:09:11,160 --> 00:09:13,520 Speaker 1: stay home for about two weeks, and then to go 171 00:09:13,559 --> 00:09:15,520 Speaker 1: back to school, you have to get the PCR test. 172 00:09:15,880 --> 00:09:18,920 Speaker 1: That thing is expensive. If insurance isn't paying for it, 173 00:09:18,920 --> 00:09:22,400 Speaker 1: it's one hundred bucks or more. So Yeah, the making 174 00:09:22,400 --> 00:09:26,120 Speaker 1: these tests free and accessible is like the most obvious 175 00:09:26,120 --> 00:09:28,480 Speaker 1: no brainer of no brainers should have been doing this pack. 176 00:09:28,960 --> 00:09:31,640 Speaker 1: I mean, you know, over a year ago, and it 177 00:09:31,679 --> 00:09:35,240 Speaker 1: always just shows you how decrepit our actual institutional state is. 178 00:09:35,320 --> 00:09:37,720 Speaker 1: And Biden also going to be announcing the current mass 179 00:09:37,760 --> 00:09:41,680 Speaker 1: mandate for airplane trains, buses, and transit hubs extended until 180 00:09:41,840 --> 00:09:44,280 Speaker 1: mid March. I personally think you're going to be getting 181 00:09:44,320 --> 00:09:48,240 Speaker 1: on the plane without a mask anytime soon, unfortunately. And 182 00:09:48,640 --> 00:09:50,959 Speaker 1: I do think though it is important to point to 183 00:09:51,400 --> 00:09:53,520 Speaker 1: kind of the holistic picture on how this is all 184 00:09:53,559 --> 00:09:57,760 Speaker 1: working out, and also once again to how insane how 185 00:09:57,880 --> 00:10:00,920 Speaker 1: much of our current policy is being I put this 186 00:10:01,040 --> 00:10:03,960 Speaker 1: up there on the screen, please, from Bloomberg, the new 187 00:10:04,120 --> 00:10:09,880 Speaker 1: COVID variant prompts the WTO to postpone its conference, likely 188 00:10:10,200 --> 00:10:14,400 Speaker 1: ending prospects for a twenty twenty twenty one agreement to 189 00:10:14,679 --> 00:10:18,800 Speaker 1: waive patent rights for vaccines. You want to riddle me that. 190 00:10:19,200 --> 00:10:22,280 Speaker 1: So we have a COVID variant which comes out of 191 00:10:22,440 --> 00:10:25,040 Speaker 1: maybe the developed world. We don't actually know where it 192 00:10:25,080 --> 00:10:27,400 Speaker 1: came from, but you know clearly the variant and more 193 00:10:27,440 --> 00:10:30,199 Speaker 1: of that was caused by or at least accelerated in 194 00:10:30,240 --> 00:10:32,240 Speaker 1: the developed world where there's not a lot of vaccination, 195 00:10:32,280 --> 00:10:34,520 Speaker 1: where there's a combination of lack of vaccine supply and 196 00:10:34,600 --> 00:10:37,720 Speaker 1: a tone of vaccine hesidency. To be completely honest, but 197 00:10:38,360 --> 00:10:40,880 Speaker 1: at the end of the day, on the margins, as 198 00:10:40,880 --> 00:10:43,560 Speaker 1: we continue to say here, when sub Saharan Africa is 199 00:10:43,559 --> 00:10:46,000 Speaker 1: at six percent and South Africa's at thirty, getting the 200 00:10:46,000 --> 00:10:48,559 Speaker 1: whole continent up to thirty actually would be pretty good 201 00:10:48,600 --> 00:10:52,720 Speaker 1: from a public policy perspective, and these morons are canceling 202 00:10:52,760 --> 00:10:56,200 Speaker 1: the conference where they could accelerate the development of the 203 00:10:56,240 --> 00:10:58,720 Speaker 1: actual vaccine in order to make it work. You can't 204 00:10:58,720 --> 00:11:03,280 Speaker 1: make this stuff up. Why of zoom? I mean honestly happening. 205 00:11:03,520 --> 00:11:06,880 Speaker 1: The whole world were meeting remotely for years at this point. 206 00:11:07,040 --> 00:11:10,319 Speaker 1: You can't figure this shit out. I mean, seriously, it's insane. 207 00:11:10,640 --> 00:11:14,600 Speaker 1: So a new variant is stopping a major conference that 208 00:11:14,640 --> 00:11:17,520 Speaker 1: could help stop other new variants, because that's the whole thing. 209 00:11:17,800 --> 00:11:22,360 Speaker 1: Wherever this particular variant originated, which it seems to be spreading, 210 00:11:22,880 --> 00:11:26,280 Speaker 1: you know, the most in South Africa, although they also 211 00:11:26,400 --> 00:11:30,240 Speaker 1: just have the best apparently like testing in place. So 212 00:11:30,440 --> 00:11:34,040 Speaker 1: I'm also outraged for them. They take the right thing. 213 00:11:34,480 --> 00:11:37,320 Speaker 1: They were ahead of the curve, they alerted the whole world, 214 00:11:37,679 --> 00:11:40,959 Speaker 1: and then they're being penalized basically so that we can 215 00:11:41,000 --> 00:11:44,760 Speaker 1: have some COVID security theater here in other places around 216 00:11:44,800 --> 00:11:47,360 Speaker 1: the world. But on this patent thing, I mean, I know, 217 00:11:47,440 --> 00:11:49,200 Speaker 1: I beat this like a dead horse, but this is 218 00:11:49,559 --> 00:11:54,280 Speaker 1: so morally unconscionable that these vaccine makers, the funding of 219 00:11:54,280 --> 00:11:57,680 Speaker 1: these vaccines came from you. The development of this was 220 00:11:57,720 --> 00:12:00,840 Speaker 1: funded by you, The technology was developed by you, by 221 00:12:00,920 --> 00:12:05,920 Speaker 1: your taxpayer dollars. These should be public goods. There should 222 00:12:05,960 --> 00:12:09,480 Speaker 1: be factories around the entire world that are spinning out 223 00:12:09,600 --> 00:12:13,120 Speaker 1: doses of the vaccine. Because, yes, you're right, especially in 224 00:12:13,160 --> 00:12:16,559 Speaker 1: places in the global South, there is a lot of 225 00:12:16,640 --> 00:12:20,680 Speaker 1: vaccine hesitancy. But we also saw what happened here. Vaccine 226 00:12:20,720 --> 00:12:24,480 Speaker 1: hesitancy declined precipitously once a lot of people around you 227 00:12:24,559 --> 00:12:27,720 Speaker 1: were getting the vaccine. When people were getting the vaccine 228 00:12:27,760 --> 00:12:29,760 Speaker 1: around you, then there were a lot of people who said, Okay, 229 00:12:29,880 --> 00:12:32,400 Speaker 1: I see this was fine. You didn't get you know, 230 00:12:32,440 --> 00:12:35,079 Speaker 1: you didn't have any major issues. You're good to go. 231 00:12:35,200 --> 00:12:37,000 Speaker 1: So I am going to go ahead. And so there 232 00:12:37,040 --> 00:12:39,440 Speaker 1: is a population that could be persuaded if they had 233 00:12:39,440 --> 00:12:41,360 Speaker 1: people in their social circles who they saw get the 234 00:12:41,440 --> 00:12:44,240 Speaker 1: vaccine and be fine. So the fact that this is 235 00:12:44,320 --> 00:12:48,400 Speaker 1: being prevented from being distributed on a mass scale at 236 00:12:48,440 --> 00:12:53,600 Speaker 1: an affordable price or ideally for free is completely insane. 237 00:12:54,000 --> 00:12:56,280 Speaker 1: And then the fact that you're letting this variant stop 238 00:12:56,480 --> 00:12:58,719 Speaker 1: the wto meaning, I mean, let's be honest, nothing was 239 00:12:58,760 --> 00:13:03,240 Speaker 1: going to happen there anyway. Because Biden, for all his 240 00:13:03,400 --> 00:13:06,880 Speaker 1: words about how he thinks we should lift patent protections. 241 00:13:06,960 --> 00:13:10,160 Speaker 1: He has stood in the way of the existence existing 242 00:13:10,200 --> 00:13:13,400 Speaker 1: trips waiver butt forward by Indian South Africa has not 243 00:13:13,480 --> 00:13:17,679 Speaker 1: provided an alternative to that, and then has most importantly 244 00:13:17,720 --> 00:13:21,160 Speaker 1: not put any pressure on Germany or other countries that 245 00:13:21,280 --> 00:13:24,320 Speaker 1: are standing in the way. If we really wanted this 246 00:13:24,440 --> 00:13:27,800 Speaker 1: to happen, trust me, it would happen. And so Biden 247 00:13:27,840 --> 00:13:29,720 Speaker 1: can offer whatever words he wants, but at the end 248 00:13:29,760 --> 00:13:31,640 Speaker 1: of the day, he's just as much of an obstacle 249 00:13:31,720 --> 00:13:35,200 Speaker 1: as the countries who are affirmatively blocking progress. To your 250 00:13:35,200 --> 00:13:38,240 Speaker 1: point about we don't know where it came from, and 251 00:13:37,600 --> 00:13:41,960 Speaker 1: my outrage on behalf of South Africans. We now know 252 00:13:42,080 --> 00:13:45,480 Speaker 1: it was circulating in Europe before it even was flagged 253 00:13:45,480 --> 00:13:47,960 Speaker 1: by South Africa, so thank you to that country for 254 00:13:48,040 --> 00:13:51,360 Speaker 1: being on top of their game and alerting the world 255 00:13:51,360 --> 00:13:54,120 Speaker 1: that there was something new here going on. Again, guys, 256 00:13:54,440 --> 00:13:56,520 Speaker 1: we don't know that much about this variant. We don't 257 00:13:56,559 --> 00:13:58,160 Speaker 1: know if this is going to ultimately be a blip 258 00:13:58,200 --> 00:13:59,880 Speaker 1: on the radar that ends up being no big deal. 259 00:14:00,160 --> 00:14:02,040 Speaker 1: We don't know if it's going to be more or 260 00:14:02,160 --> 00:14:06,079 Speaker 1: less transmissible than Delta. We don't know the severity of 261 00:14:06,120 --> 00:14:08,120 Speaker 1: the disease. We don't know how it's going to interact 262 00:14:08,160 --> 00:14:09,800 Speaker 1: with the vaccine. We don't know any of that at 263 00:14:09,800 --> 00:14:12,280 Speaker 1: this point, but certainly something to keep an eye on, 264 00:14:12,400 --> 00:14:16,160 Speaker 1: and a significant development that we now have confirmed at 265 00:14:16,200 --> 00:14:19,280 Speaker 1: least one case of omicron here on our insurance. You know, 266 00:14:19,360 --> 00:14:23,520 Speaker 1: I heard a very good proposal which was that instead 267 00:14:23,600 --> 00:14:26,640 Speaker 1: of punishing South Africa with a travel ban, especially when 268 00:14:26,640 --> 00:14:28,400 Speaker 1: we have no idea if he even came from there, 269 00:14:28,560 --> 00:14:31,680 Speaker 1: we should actually develop and the entire world should a 270 00:14:31,880 --> 00:14:34,720 Speaker 1: fund in which if you are the first to report 271 00:14:34,800 --> 00:14:37,360 Speaker 1: a variant or something, you actually get money. You get 272 00:14:37,360 --> 00:14:41,640 Speaker 1: like international aid. So instead of punishing, we would incentivize, yes, 273 00:14:41,720 --> 00:14:44,800 Speaker 1: all developed contracts DEO all countries all over the world 274 00:14:45,000 --> 00:14:48,120 Speaker 1: in order to consistently monitor what the variants are. But 275 00:14:48,200 --> 00:14:50,800 Speaker 1: a hell of a lot more sense. You know, these 276 00:14:50,840 --> 00:14:53,520 Speaker 1: are reasonable things. He'd be like, oh, a rapid test. 277 00:14:53,600 --> 00:14:57,240 Speaker 1: I don't know why. It is December second, twenty twenty 278 00:14:57,280 --> 00:15:00,240 Speaker 1: one and we're just talking about insurance covering this, or 279 00:15:00,320 --> 00:15:04,320 Speaker 1: you know, making creating an international regime that would actually 280 00:15:04,320 --> 00:15:07,920 Speaker 1: reward countries for detection that pushes where you know, this 281 00:15:07,960 --> 00:15:10,720 Speaker 1: is my dead horse. This is an endemic disease. There 282 00:15:10,760 --> 00:15:15,600 Speaker 1: will be many, many, many more omicrons. Vaccination and mitigation 283 00:15:15,800 --> 00:15:17,720 Speaker 1: are going to be the number one way in which 284 00:15:17,720 --> 00:15:20,040 Speaker 1: we deal with it. Almost everyone on Earth will very 285 00:15:20,120 --> 00:15:22,880 Speaker 1: likely contract COVID at some point of some form. We 286 00:15:22,960 --> 00:15:25,840 Speaker 1: have no idea what form that will be, so moving 287 00:15:25,880 --> 00:15:28,720 Speaker 1: public policy more in that direction, not freaking the American 288 00:15:28,760 --> 00:15:33,000 Speaker 1: public out and not creating some mask forever regime on 289 00:15:33,080 --> 00:15:36,480 Speaker 1: top of these travel bands, more chaos, more fear, as 290 00:15:36,480 --> 00:15:38,360 Speaker 1: opposed to the fact we have a pvisor pill, we've 291 00:15:38,360 --> 00:15:41,920 Speaker 1: got a mirk pill, we've got vaccinations, we've got booster shots, 292 00:15:41,960 --> 00:15:45,880 Speaker 1: and more. South Africa showed us that early detection regimes 293 00:15:46,040 --> 00:15:48,800 Speaker 1: work quite well. This is the future, people. I know 294 00:15:48,840 --> 00:15:51,280 Speaker 1: it doesn't sound nice, but you can choose to live 295 00:15:51,320 --> 00:15:54,320 Speaker 1: your life, you know, in a defensive crouch and freak 296 00:15:54,360 --> 00:15:56,240 Speaker 1: the whole public out and have all of these things, 297 00:15:56,440 --> 00:15:58,560 Speaker 1: or you can say, this is a very likely what 298 00:15:58,600 --> 00:16:00,360 Speaker 1: the future look is going to look like. We're going 299 00:16:00,400 --> 00:16:02,800 Speaker 1: to hack on top of it. There's no current indication 300 00:16:02,920 --> 00:16:05,800 Speaker 1: right now that this disease kills more of the elderly, 301 00:16:06,120 --> 00:16:09,280 Speaker 1: even if it does jump the vaccine transmissibility, et cetera. 302 00:16:09,560 --> 00:16:12,960 Speaker 1: Zero indication on that whatsoever. So if that's the case, 303 00:16:13,240 --> 00:16:16,080 Speaker 1: we just have to live our lives. Yeah, that's where 304 00:16:16,080 --> 00:16:19,480 Speaker 1: I think the future should be. And you know, if 305 00:16:19,600 --> 00:16:22,240 Speaker 1: enough people embrace that, I think we've If you're lactimated, 306 00:16:22,400 --> 00:16:25,720 Speaker 1: you have very good protection. And I hate that the 307 00:16:25,800 --> 00:16:31,160 Speaker 1: media has fixated on the numbers of the breakthrough infections 308 00:16:31,160 --> 00:16:32,920 Speaker 1: and how there is a decline in the advocacy of 309 00:16:32,960 --> 00:16:35,080 Speaker 1: the vaccine versus the thing that really matters is a 310 00:16:35,080 --> 00:16:38,200 Speaker 1: severe illness, which actually remains static across time, and the 311 00:16:38,240 --> 00:16:42,240 Speaker 1: protection is still very good against delta and we'll see 312 00:16:42,600 --> 00:16:47,320 Speaker 1: the Actually I saw some indications, this was from Israel 313 00:16:47,760 --> 00:16:51,320 Speaker 1: that the vaccine is actually pretty effective in preventing severe 314 00:16:51,360 --> 00:16:54,120 Speaker 1: illness with amicron. Those are very early indicators, but at 315 00:16:54,200 --> 00:16:56,600 Speaker 1: least the early indicators are good in that regard. One 316 00:16:56,640 --> 00:16:59,040 Speaker 1: other thing I wanted to say about Biden is, Look, 317 00:17:00,040 --> 00:17:03,600 Speaker 1: dude's approval is in the toilet right now, and people 318 00:17:03,680 --> 00:17:07,240 Speaker 1: don't trust him on much of anything. His highest marks, 319 00:17:07,240 --> 00:17:10,480 Speaker 1: they'll continue to be on his coronavirus response, and I 320 00:17:10,520 --> 00:17:13,480 Speaker 1: think it is because moments like this where he has 321 00:17:13,520 --> 00:17:17,000 Speaker 1: struck a pretty good balance between all right, let's take 322 00:17:17,080 --> 00:17:19,840 Speaker 1: some precautions. I'm critical of the travel band. I think 323 00:17:19,840 --> 00:17:22,920 Speaker 1: it's just theater. But let's take a few precautions, let's 324 00:17:22,960 --> 00:17:26,040 Speaker 1: tighten things up around the edges. But he seems to 325 00:17:26,119 --> 00:17:30,960 Speaker 1: have a political instinct not to do the more onerous restrictions, 326 00:17:30,960 --> 00:17:33,119 Speaker 1: because every time these are floated and there's like a 327 00:17:33,200 --> 00:17:35,000 Speaker 1: right wing for oh, like god, we're going back to 328 00:17:35,080 --> 00:17:39,440 Speaker 1: lockdowns or whatever, they instantly he almost instantly comes out 329 00:17:39,480 --> 00:17:42,159 Speaker 1: and says we are not going back to lockdowns. And 330 00:17:42,200 --> 00:17:45,680 Speaker 1: I think there's a recognition, seems to be from him 331 00:17:46,080 --> 00:17:50,359 Speaker 1: that the public just is unwilling to go there again. 332 00:17:50,800 --> 00:17:54,240 Speaker 1: And I also think that they also have no interest 333 00:17:54,320 --> 00:17:57,400 Speaker 1: in giving people the financial support and resources they would 334 00:17:57,440 --> 00:18:00,240 Speaker 1: need to get through another lockdown. So my personal you 335 00:18:00,560 --> 00:18:03,439 Speaker 1: has long been I think is highly unlikely that we 336 00:18:03,560 --> 00:18:07,080 Speaker 1: go back to those sorts of owners restrictions. But listen, 337 00:18:07,160 --> 00:18:10,600 Speaker 1: this is an unpredictable disease, it's an unpredictable political climate, 338 00:18:10,680 --> 00:18:13,800 Speaker 1: so you never know, yeah, never know. Okay, all right, guys, 339 00:18:13,960 --> 00:18:18,040 Speaker 1: So I think that this is completely wildly unconscionable, as 340 00:18:18,040 --> 00:18:23,240 Speaker 1: I was saying before. You'll recall, before that Biden Trump debate, 341 00:18:24,480 --> 00:18:28,119 Speaker 1: there were questions about whether Trump had tested positive for 342 00:18:28,240 --> 00:18:32,160 Speaker 1: COVID and knew he potentially had COVID when he went 343 00:18:32,400 --> 00:18:36,240 Speaker 1: to debate Joe Biden, because just days let later, it 344 00:18:36,320 --> 00:18:39,400 Speaker 1: comes out that he has COVID, he gets very sick, 345 00:18:39,560 --> 00:18:41,840 Speaker 1: has to be hospitalized. I mean some of the details 346 00:18:41,880 --> 00:18:44,200 Speaker 1: after the fact is. It was really ugly there for 347 00:18:44,280 --> 00:18:46,600 Speaker 1: him for a time. I mean, his life was truly 348 00:18:46,640 --> 00:18:51,440 Speaker 1: in danger. So and they were always really squishy about 349 00:18:51,760 --> 00:18:55,399 Speaker 1: when did you get the first positive COVID test. They 350 00:18:55,440 --> 00:18:58,920 Speaker 1: would never give really straight answers about that. Well. Mark 351 00:18:58,960 --> 00:19:00,840 Speaker 1: Meadows is former chief of staff, is out with the 352 00:19:00,920 --> 00:19:03,040 Speaker 1: new book, and this has been confirmed not just by 353 00:19:03,080 --> 00:19:06,480 Speaker 1: Meadows but other people who are former aids to Trump 354 00:19:06,560 --> 00:19:09,280 Speaker 1: at this point. According to reporters at the New York 355 00:19:09,280 --> 00:19:13,080 Speaker 1: Times and other places, Trump did in fact receive a 356 00:19:13,280 --> 00:19:17,680 Speaker 1: positive COVID test before that debate. Let's go ahead and 357 00:19:17,720 --> 00:19:19,359 Speaker 1: throw this tear sheet up on the screen. This is 358 00:19:19,400 --> 00:19:22,800 Speaker 1: from The Guardian. Trump tested positive for COVID few days 359 00:19:22,840 --> 00:19:26,320 Speaker 1: before Biden debate. Chief of staff says in new book, 360 00:19:27,200 --> 00:19:29,960 Speaker 1: he was effectively he was feeling not too great. He 361 00:19:30,040 --> 00:19:32,719 Speaker 1: took a test. He was on Air Force one. Meadows 362 00:19:32,760 --> 00:19:35,600 Speaker 1: describes a pretty dramatic scene where they get a call 363 00:19:35,640 --> 00:19:38,960 Speaker 1: and they say stop the plane because Trump has tested. 364 00:19:39,000 --> 00:19:42,960 Speaker 1: The President's tested positive for COVID. Trump basically says like, 365 00:19:43,000 --> 00:19:47,080 Speaker 1: oh shit, they do another test, the second one comes 366 00:19:47,119 --> 00:19:50,280 Speaker 1: back negative, and so then he's like, Okay, well we're 367 00:19:50,280 --> 00:19:52,560 Speaker 1: good to go. Let's just go forward with everything, even 368 00:19:52,600 --> 00:19:54,840 Speaker 1: though he's feeling poorly, even though he got the first 369 00:19:54,880 --> 00:19:58,320 Speaker 1: positive test, even though they know, and Meadows says he 370 00:19:58,359 --> 00:20:01,399 Speaker 1: told all the staff to eat Trump on that trip 371 00:20:01,440 --> 00:20:04,800 Speaker 1: I think was to Pennsylvania as if he had coronavirus. 372 00:20:04,840 --> 00:20:06,920 Speaker 1: So Meadows and the staff knew there was a good 373 00:20:07,000 --> 00:20:10,879 Speaker 1: chance that he had COVID, but he just pushes forward 374 00:20:10,960 --> 00:20:16,360 Speaker 1: as if absolutely nothing has happened. And the consequences of this, 375 00:20:16,440 --> 00:20:19,399 Speaker 1: I mean, first of all, what kind of a person 376 00:20:19,480 --> 00:20:23,280 Speaker 1: like I think we all know the type of precautions 377 00:20:23,320 --> 00:20:25,159 Speaker 1: that we've been taking in this era to keep the 378 00:20:25,160 --> 00:20:30,680 Speaker 1: people that we love, anybody around us safe from this disease, 379 00:20:30,960 --> 00:20:35,159 Speaker 1: especially in a time before there were vaccinations. Joe Biden 380 00:20:35,240 --> 00:20:39,359 Speaker 1: is an old man. He was Atrus, and Trump was 381 00:20:39,400 --> 00:20:41,480 Speaker 1: an old man, I mean, and he's hanging around with 382 00:20:41,720 --> 00:20:45,399 Speaker 1: a lot of people are old people, and so we 383 00:20:45,440 --> 00:20:48,280 Speaker 1: all know the sort of precautions that we took over 384 00:20:48,320 --> 00:20:51,200 Speaker 1: these years, especially before we were vaccinated, to make sure 385 00:20:51,200 --> 00:20:53,800 Speaker 1: that the people around us were safe if we even 386 00:20:53,840 --> 00:20:57,600 Speaker 1: had the tiniest suspicion of anything. And so for the 387 00:20:57,640 --> 00:21:01,200 Speaker 1: president to go to this debate knowing that he potentially 388 00:21:01,240 --> 00:21:04,040 Speaker 1: had COVID, and then it gets even worse than that. 389 00:21:04,400 --> 00:21:06,680 Speaker 1: Let's throw this Military Times tear sheet up on the screen. 390 00:21:06,720 --> 00:21:08,840 Speaker 1: So not only did he do that debate, not only 391 00:21:08,920 --> 00:21:11,359 Speaker 1: did he have an indoor press conference and apparently brief 392 00:21:11,520 --> 00:21:13,879 Speaker 1: the press on Air Force one. Some of the reporters 393 00:21:13,960 --> 00:21:16,480 Speaker 1: ended up getting COVID from that, that's right. He then 394 00:21:16,560 --> 00:21:21,919 Speaker 1: went and did an event with gold Star military families 395 00:21:22,000 --> 00:21:25,359 Speaker 1: that was also indoors. And then I don't know if 396 00:21:25,400 --> 00:21:27,520 Speaker 1: you guys remember this, because so much of it is, 397 00:21:27,600 --> 00:21:30,280 Speaker 1: like you know, with Trump, there's so much happens that 398 00:21:30,320 --> 00:21:32,720 Speaker 1: it's hard to hold on to all the details. But 399 00:21:32,840 --> 00:21:35,199 Speaker 1: he basically when he did come down with COVID, he 400 00:21:35,240 --> 00:21:40,320 Speaker 1: effectively blamed these gold Star families for giving it to him. Well, yeah, 401 00:21:40,359 --> 00:21:43,840 Speaker 1: they were like they hugged hope hits, he said. He said, 402 00:21:43,920 --> 00:21:46,479 Speaker 1: I went through like thirty five people, and everyone has 403 00:21:46,520 --> 00:21:48,399 Speaker 1: a different story. They come within an inch of my 404 00:21:48,440 --> 00:21:50,320 Speaker 1: face sometimes they want to hug me, and they want 405 00:21:50,359 --> 00:21:52,679 Speaker 1: to kiss me, and they do, and frankly, I'm not 406 00:21:52,720 --> 00:21:55,000 Speaker 1: telling them to back up. I'm not doing it. But 407 00:21:55,119 --> 00:21:57,520 Speaker 1: obviously it's a dangerous thing, I guess if you go 408 00:21:57,560 --> 00:22:01,000 Speaker 1: by the COVID thing. So he basically blamed them for 409 00:22:01,080 --> 00:22:03,679 Speaker 1: giving him COVID when the reality was he was putting 410 00:22:03,840 --> 00:22:07,720 Speaker 1: all of these families who have lost so much already 411 00:22:08,119 --> 00:22:12,280 Speaker 1: at tremendous risk because of his own just completely selfish 412 00:22:12,320 --> 00:22:15,879 Speaker 1: and irresponse behavior. It's disgusting reflection on who he is 413 00:22:15,920 --> 00:22:18,560 Speaker 1: as a human being. It's really strange too because the 414 00:22:18,600 --> 00:22:22,440 Speaker 1: timeline also really never added up. And actually other aids 415 00:22:22,480 --> 00:22:24,480 Speaker 1: at the White House, Alissa Farrow, she was talking this 416 00:22:24,560 --> 00:22:27,200 Speaker 1: morning where she was saying like, look, I actually asked 417 00:22:27,240 --> 00:22:30,360 Speaker 1: a lot of times when was the actual first positive 418 00:22:30,400 --> 00:22:33,239 Speaker 1: test for the president and she was never given they 419 00:22:33,240 --> 00:22:35,640 Speaker 1: would never tell your answer. Yeah, and she was strategic 420 00:22:35,640 --> 00:22:38,440 Speaker 1: communications director at the White House. So just to give 421 00:22:38,440 --> 00:22:40,840 Speaker 1: you a little bit of a preview into how this works. 422 00:22:41,200 --> 00:22:44,040 Speaker 1: So from Mark Meadows his book, he said that he 423 00:22:44,160 --> 00:22:47,520 Speaker 1: tested positive and that there was another test than after 424 00:22:47,600 --> 00:22:50,600 Speaker 1: the tested negative, and that after that period they didn't 425 00:22:50,600 --> 00:22:54,760 Speaker 1: do any more tests, including up to the actual presidential debate, 426 00:22:54,920 --> 00:22:56,679 Speaker 1: and they were supposed to exactly, so they were the 427 00:22:56,680 --> 00:22:59,240 Speaker 1: president was supposed And this also goes was this intentional 428 00:22:59,320 --> 00:23:02,119 Speaker 1: or not? It was supposed to be tested before that 429 00:23:02,200 --> 00:23:05,439 Speaker 1: debate with Biden, but because he relied on late and 430 00:23:05,480 --> 00:23:07,639 Speaker 1: because he was the president, they were like, well, he 431 00:23:07,680 --> 00:23:13,119 Speaker 1: says he's negative, were gonna gostem? Or the president is 432 00:23:13,119 --> 00:23:15,160 Speaker 1: the president. I assume he's probably tested more than any 433 00:23:15,200 --> 00:23:17,560 Speaker 1: individual on planet Earth, or at least that's what we 434 00:23:17,600 --> 00:23:21,360 Speaker 1: all thought at the time. Uh. Yeah, it's a it's 435 00:23:21,400 --> 00:23:24,160 Speaker 1: a very revealing thing into Trump. And what I see 436 00:23:24,200 --> 00:23:27,880 Speaker 1: in particular from Mark Meadows is Meadows has this bumbling 437 00:23:27,920 --> 00:23:30,560 Speaker 1: attitude here in the in the book, as if he 438 00:23:30,640 --> 00:23:33,199 Speaker 1: was like he didn't really know what to do, and 439 00:23:33,240 --> 00:23:35,240 Speaker 1: he was like, well, you know, it's like come on. 440 00:23:35,400 --> 00:23:38,320 Speaker 1: I mean, at that point, you have Secret Service agents, 441 00:23:38,560 --> 00:23:40,879 Speaker 1: you have staff who are traveling with him, you have 442 00:23:41,000 --> 00:23:44,080 Speaker 1: the Gold Star families, you have so many more. You 443 00:23:44,119 --> 00:23:46,640 Speaker 1: actually have a lot of control over who Trump would 444 00:23:46,640 --> 00:23:49,560 Speaker 1: interact with or not. I mean, look, I've talked with 445 00:23:49,560 --> 00:23:51,439 Speaker 1: some people who worked in the White House before, not 446 00:23:51,480 --> 00:23:54,679 Speaker 1: necessarily under the Trump administration. There are safety protocols and 447 00:23:54,720 --> 00:23:56,720 Speaker 1: more where the secret service in them can jump in 448 00:23:56,760 --> 00:23:58,960 Speaker 1: and say look for your own good like we're taking over. 449 00:23:59,760 --> 00:24:01,399 Speaker 1: And I I mean, you know, like nine to eleven 450 00:24:01,440 --> 00:24:05,119 Speaker 1: type circumstances. I don't know necessarily if this qualified or not, 451 00:24:05,240 --> 00:24:07,399 Speaker 1: but you know, with these tests, because I assume these 452 00:24:07,440 --> 00:24:09,840 Speaker 1: are those rapid tests, one of the things is is 453 00:24:09,840 --> 00:24:12,840 Speaker 1: that if you test positive on them, you are very 454 00:24:12,960 --> 00:24:15,879 Speaker 1: very likely to be positive. That was something that was 455 00:24:15,920 --> 00:24:18,280 Speaker 1: reiterated to me whenever I had to take those at 456 00:24:18,280 --> 00:24:20,399 Speaker 1: home COVID tests is that, yeah, they might get a 457 00:24:20,400 --> 00:24:22,720 Speaker 1: false negative, but getting a false positive is actually quite 458 00:24:22,800 --> 00:24:25,360 Speaker 1: rare in order to look at it, and so then 459 00:24:25,680 --> 00:24:28,040 Speaker 1: you know, yes, and again it would make sense because 460 00:24:28,040 --> 00:24:31,320 Speaker 1: they're talking exactly about those buying ac system rapid antigen 461 00:24:31,359 --> 00:24:34,320 Speaker 1: tests where the next one might be negative. But you know, 462 00:24:34,400 --> 00:24:36,600 Speaker 1: even that very comes to interpretation. I don't know if 463 00:24:36,600 --> 00:24:38,560 Speaker 1: you guys have ever done these, but there's like two lines. 464 00:24:38,600 --> 00:24:41,520 Speaker 1: And the second line, especially when you're coming out of 465 00:24:41,520 --> 00:24:43,160 Speaker 1: COVID and you're trying to see if you're still testing 466 00:24:43,200 --> 00:24:45,520 Speaker 1: positive or when you're going into it, it's a little 467 00:24:45,560 --> 00:24:48,439 Speaker 1: iffy on the interpretation exactly. But you know, when you 468 00:24:48,480 --> 00:24:52,280 Speaker 1: see any kind of anything there it's pretty clear that 469 00:24:52,359 --> 00:24:54,879 Speaker 1: you probably have COVID, and this is how it's been 470 00:24:54,880 --> 00:24:57,680 Speaker 1: explained to me in terms of the test. So look, 471 00:24:57,840 --> 00:25:01,080 Speaker 1: you probably add COVID in those three day before especially 472 00:25:01,160 --> 00:25:03,280 Speaker 1: he wasn't feeling good. But he wasn't feeling good and 473 00:25:03,359 --> 00:25:06,240 Speaker 1: he tested pause he in the hospital the next week. 474 00:25:06,280 --> 00:25:08,280 Speaker 1: Well yeah, right, went to the hospital three days later. 475 00:25:08,760 --> 00:25:12,879 Speaker 1: And we'll remember he had a very bizarre performance in 476 00:25:12,920 --> 00:25:16,200 Speaker 1: that debate. Yes, this was one he was like totally unhinged, 477 00:25:16,200 --> 00:25:18,919 Speaker 1: where he was unhinged and people thought, oh, you know, 478 00:25:19,520 --> 00:25:22,760 Speaker 1: this is just like was his strategy or like, you know, look, 479 00:25:22,960 --> 00:25:25,920 Speaker 1: I mean, whenever you're not feeling one hundred percent, you're 480 00:25:26,040 --> 00:25:30,000 Speaker 1: much more likely to behave erratically and have deliriates. Very 481 00:25:30,160 --> 00:25:32,719 Speaker 1: very very much could have been and look, he was 482 00:25:32,720 --> 00:25:35,560 Speaker 1: what's seventy four years old at the time that that 483 00:25:35,720 --> 00:25:38,159 Speaker 1: was happening. It's really not a joke, and that's why 484 00:25:38,359 --> 00:25:41,200 Speaker 1: he was ultimately rushed to the hospital. Since then, it's 485 00:25:41,240 --> 00:25:43,520 Speaker 1: actually come out that while he was in the hospital 486 00:25:43,560 --> 00:25:46,080 Speaker 1: that the situation was much more dire than the doctors 487 00:25:46,160 --> 00:25:48,760 Speaker 1: led on, Like his blood oxygen levels and more were 488 00:25:48,840 --> 00:25:51,320 Speaker 1: much lower, and they were very very concerned for him. 489 00:25:51,320 --> 00:25:54,159 Speaker 1: That's why he was given Regeneron and a few other things. 490 00:25:54,200 --> 00:25:56,760 Speaker 1: And I think the most stunning image that will always 491 00:25:56,760 --> 00:25:59,000 Speaker 1: resonated in my mind, because I do think this actually, 492 00:25:59,240 --> 00:26:00,960 Speaker 1: out of all the that was the craziest part of 493 00:26:01,000 --> 00:26:03,880 Speaker 1: the Trump presidencies. When he got COVID. I truly thought 494 00:26:03,920 --> 00:26:05,560 Speaker 1: he could die. I was like, this is crazy. He 495 00:26:05,600 --> 00:26:09,680 Speaker 1: really could. Yeah, And whenever he remember, he came back 496 00:26:09,720 --> 00:26:12,560 Speaker 1: on Marine one and he ran up the stairs and 497 00:26:12,600 --> 00:26:16,159 Speaker 1: he was just breathing so heavily when he was on 498 00:26:16,240 --> 00:26:18,080 Speaker 1: I think it was on the Truman balcony, I can't 499 00:26:18,080 --> 00:26:20,399 Speaker 1: remember exactly, and he put his fist up in the 500 00:26:20,440 --> 00:26:22,240 Speaker 1: air and I was like, man, he does not look good. 501 00:26:22,359 --> 00:26:25,359 Speaker 1: I think he probably would breathe pretty heavy running up 502 00:26:25,359 --> 00:26:28,719 Speaker 1: the set of stairs and very likely, yes, but yes, 503 00:26:28,880 --> 00:26:31,800 Speaker 1: he didn't look good. And when he went to Walter 504 00:26:31,880 --> 00:26:34,639 Speaker 1: Reid and he walked, I mean, yeah, it was. It 505 00:26:34,720 --> 00:26:38,399 Speaker 1: was terrible. And the other thing that we've learned since this, 506 00:26:38,440 --> 00:26:41,280 Speaker 1: according to Chris Christie, is so Christy was in the 507 00:26:41,320 --> 00:26:45,359 Speaker 1: debate prep room, right, and in a hotel room. I 508 00:26:45,359 --> 00:26:47,720 Speaker 1: mean they're all close together, right, prepping for this debate. 509 00:26:48,119 --> 00:26:52,640 Speaker 1: He comes down with COVID. Obviously, former governor Christie has 510 00:26:52,760 --> 00:26:55,479 Speaker 1: struggled with his weight his entire life, and he so 511 00:26:55,560 --> 00:26:58,760 Speaker 1: he's that tremendous risk also and not a spring chicken. 512 00:27:00,080 --> 00:27:03,240 Speaker 1: Man almost died. You were saying they administered him last 513 00:27:03,280 --> 00:27:06,200 Speaker 1: weekar said they administered last in the hospital. And according 514 00:27:06,280 --> 00:27:09,240 Speaker 1: to him, this is his side of the story. Trump 515 00:27:09,280 --> 00:27:12,840 Speaker 1: calls not to check on him, not to wish him well, 516 00:27:13,520 --> 00:27:15,399 Speaker 1: but to make sure he's not going to say that 517 00:27:15,440 --> 00:27:18,560 Speaker 1: he got it from Trump. That's the kind of guy 518 00:27:18,560 --> 00:27:20,359 Speaker 1: this is, WHI that's the kind of guy this is. 519 00:27:20,960 --> 00:27:22,760 Speaker 1: It's just listen, we try not to do too much 520 00:27:22,760 --> 00:27:27,240 Speaker 1: Trump arrangement here, but this is a stunning insight into 521 00:27:27,480 --> 00:27:32,600 Speaker 1: how this man operates, the type of personal just ethical 522 00:27:32,760 --> 00:27:36,880 Speaker 1: code or lack thereof, that he has, because I cannot 523 00:27:36,960 --> 00:27:41,840 Speaker 1: imagine treating my best friend or my worst enemy the 524 00:27:41,880 --> 00:27:45,040 Speaker 1: way that he callously treated everyone around him in that 525 00:27:45,160 --> 00:27:48,600 Speaker 1: time period, everyone from his close advisors in the room 526 00:27:48,640 --> 00:27:52,280 Speaker 1: with him, to the press corps to Joe Biden to 527 00:27:53,440 --> 00:27:59,040 Speaker 1: the gold Star families, just pushing forward totally callously, no 528 00:27:59,200 --> 00:28:02,600 Speaker 1: regard what's whoever for their safety or well being. And 529 00:28:02,720 --> 00:28:05,560 Speaker 1: I mean it's just I just can't imagine. I just 530 00:28:05,640 --> 00:28:08,960 Speaker 1: can't imagine behaving that way. It's it's truly disgusting. And 531 00:28:09,119 --> 00:28:11,920 Speaker 1: the last thing in terms of the timeline, the thing 532 00:28:12,000 --> 00:28:15,280 Speaker 1: that led up to that happened right before he gets 533 00:28:15,280 --> 00:28:18,960 Speaker 1: his first positive test, was that Amy Cony Barrett, Oh 534 00:28:19,000 --> 00:28:23,080 Speaker 1: that's right, yeah, wearing it a ceremony en tours and 535 00:28:23,320 --> 00:28:26,080 Speaker 1: ended up being a major supersprider. Ended up being major supersprider, 536 00:28:26,119 --> 00:28:28,920 Speaker 1: isn't that when Hope Pick Scott, a bunch of people 537 00:28:29,000 --> 00:28:32,439 Speaker 1: that were at that ceremony came down with COVID and 538 00:28:32,480 --> 00:28:34,720 Speaker 1: then you know, it was very shortly after, maybe in 539 00:28:34,760 --> 00:28:37,600 Speaker 1: the next day, that Trump got this first positive test 540 00:28:37,640 --> 00:28:41,760 Speaker 1: and wasn't feeling well. So anyway, disgusting all the way around. 541 00:28:41,920 --> 00:28:47,280 Speaker 1: There we go. Okay, let's move on CNN's Chris Cuomo. 542 00:28:47,400 --> 00:28:49,960 Speaker 1: I've been excited to do this segment now for some time, 543 00:28:50,120 --> 00:28:54,040 Speaker 1: So Chrystal and I were shocked when CNN actually did 544 00:28:54,080 --> 00:28:57,400 Speaker 1: something after those revelations that we gave you on Tuesday 545 00:28:57,440 --> 00:29:01,480 Speaker 1: came out where Chris was actively in using his sources, 546 00:29:01,840 --> 00:29:04,760 Speaker 1: in using his platform and more in order to aid 547 00:29:04,800 --> 00:29:08,280 Speaker 1: his brother's campaign in order to keep his office after 548 00:29:08,320 --> 00:29:10,920 Speaker 1: being accused of sexual assault. He was using his own 549 00:29:11,000 --> 00:29:13,400 Speaker 1: sources in the media to try and dig up dirt 550 00:29:13,640 --> 00:29:16,680 Speaker 1: on the women accusing his brother of sexual assault. Lowlife, 551 00:29:16,760 --> 00:29:20,880 Speaker 1: lower life than can even really be imagined. Not necessarily 552 00:29:21,040 --> 00:29:24,320 Speaker 1: helping your brother, which I guess I admire, lying about 553 00:29:24,320 --> 00:29:27,280 Speaker 1: it to your bosses, lying about it to the American 554 00:29:27,320 --> 00:29:31,960 Speaker 1: people on your network, and basically portraying yourself as just, oh, 555 00:29:32,040 --> 00:29:34,520 Speaker 1: I was a little bit involved when you were actually 556 00:29:34,560 --> 00:29:37,160 Speaker 1: an intimate advisor. You have to pick one, especially when 557 00:29:37,200 --> 00:29:40,520 Speaker 1: you work for a purportedly unbiased news organization. So let's 558 00:29:40,520 --> 00:29:42,600 Speaker 1: put the tears. If you want to be family first, 559 00:29:42,640 --> 00:29:44,960 Speaker 1: goods from job, or take a leave of absence to 560 00:29:45,000 --> 00:29:46,719 Speaker 1: be like, look, I'm sorry, there's no way I can 561 00:29:46,720 --> 00:29:48,440 Speaker 1: cover this fairly. Actually would respect it him a lot 562 00:29:48,480 --> 00:29:53,240 Speaker 1: more for that anyway, CNN has suspended Chris Cuomo indefinitely. 563 00:29:53,640 --> 00:29:56,479 Speaker 1: The New York Attorney General's Office released transcripts and exhibits 564 00:29:56,480 --> 00:29:58,600 Speaker 1: Monday that shed new light on Chris Cuomo's involved in 565 00:29:58,600 --> 00:30:01,320 Speaker 1: his brother's defense. The documents, which we were not privy 566 00:30:01,320 --> 00:30:05,000 Speaker 1: to before their public release, raise serious questions. When Chris 567 00:30:05,040 --> 00:30:08,040 Speaker 1: admitted to us he had offered advice to his brother's staff, 568 00:30:08,080 --> 00:30:11,280 Speaker 1: he broke our rules, and we acknowledged that publicly, but 569 00:30:11,760 --> 00:30:13,800 Speaker 1: we also appreciated the unique position he was in and 570 00:30:13,840 --> 00:30:16,880 Speaker 1: understood his need to put family first in job second. However, 571 00:30:17,200 --> 00:30:19,920 Speaker 1: these documents point to a greater level of involvement in 572 00:30:19,960 --> 00:30:23,040 Speaker 1: his brother's efforts than we previously knew. As a result, 573 00:30:23,240 --> 00:30:29,160 Speaker 1: we have suspended Chris indefinitely, pending further in valuation. Now, 574 00:30:29,360 --> 00:30:32,080 Speaker 1: there's something really interesting happening here, Crystal and I actually 575 00:30:32,080 --> 00:30:35,800 Speaker 1: do believe that the new ownership of CNN actually has 576 00:30:35,800 --> 00:30:39,479 Speaker 1: played a role in this. So purportedly this is the reporting, 577 00:30:39,520 --> 00:30:42,680 Speaker 1: and I've been following their Hollywood reporters are not such 578 00:30:42,720 --> 00:30:45,280 Speaker 1: political hacks as our people, so they just tell you 579 00:30:45,320 --> 00:30:49,360 Speaker 1: what's going on. So the new Discovery CEO, this is 580 00:30:49,360 --> 00:30:52,080 Speaker 1: from Ben Mullins with the Wall Street Journal, who covers Hollywood, 581 00:30:52,400 --> 00:30:55,600 Speaker 1: was actually in Time Warner Center in New York on 582 00:30:55,640 --> 00:30:59,920 Speaker 1: the day that all this happened, replanned meetings with Jeff Zucker, 583 00:31:00,160 --> 00:31:03,000 Speaker 1: so they were actually had an entire staff meeting that 584 00:31:03,040 --> 00:31:06,160 Speaker 1: was ready to go when the revelations came out. Now, 585 00:31:06,280 --> 00:31:10,080 Speaker 1: reportedly the new CEO was in the room with Zucker 586 00:31:10,480 --> 00:31:14,000 Speaker 1: where the suspension decision was ultimately made, and then it 587 00:31:14,040 --> 00:31:16,440 Speaker 1: was Zucker's job to call Chris in and be like, look, man, 588 00:31:16,520 --> 00:31:19,800 Speaker 1: you're out, Like I'm sorry, but I really this is 589 00:31:19,920 --> 00:31:24,680 Speaker 1: one hundred percent my speculation. But given the CNN shareholder 590 00:31:24,680 --> 00:31:26,520 Speaker 1: who we brought you guys saying I would like to 591 00:31:26,520 --> 00:31:29,240 Speaker 1: see a return to news. There have been leaks out 592 00:31:29,280 --> 00:31:32,360 Speaker 1: in Hollywood where the new CEO is actually moving, that 593 00:31:32,440 --> 00:31:35,000 Speaker 1: the new CEO is not happy with CNN as a 594 00:31:35,000 --> 00:31:37,720 Speaker 1: product whatsoever, That Jeff Zucker is going to be leaving 595 00:31:37,760 --> 00:31:40,640 Speaker 1: his job in twenty twenty one, that was relatively planned, 596 00:31:40,720 --> 00:31:43,320 Speaker 1: that they have a new vision for the network, that 597 00:31:43,360 --> 00:31:46,200 Speaker 1: they are planning even and firing some hosts and not 598 00:31:46,800 --> 00:31:48,880 Speaker 1: was very unhappy, and that this was a straw that 599 00:31:48,920 --> 00:31:51,640 Speaker 1: broke the camel's back. I personally, I don't believe that 600 00:31:51,680 --> 00:31:55,040 Speaker 1: Cuomo was suspended without the new CEO in charge of 601 00:31:55,080 --> 00:31:57,360 Speaker 1: the Discovery CEO in charge of the entire network. That's 602 00:31:57,440 --> 00:32:01,520 Speaker 1: very interesting, Yeah, because Zucker and Chris Cuoma are front, yes, close, 603 00:32:01,600 --> 00:32:05,920 Speaker 1: and also Zucker made Cuomo the lynchpin of his nighttime programming. 604 00:32:05,960 --> 00:32:08,800 Speaker 1: I mean he plucked him from that terrible New Day Show, 605 00:32:09,520 --> 00:32:12,920 Speaker 1: Morning the Morning Show and gave him the nine pm 606 00:32:12,920 --> 00:32:16,240 Speaker 1: primetime slot on CNNY of the highest rated network, which 607 00:32:16,280 --> 00:32:19,120 Speaker 1: is not a low bar, yeah, very low bar, much 608 00:32:19,160 --> 00:32:21,680 Speaker 1: less than what we did hear, but he had the 609 00:32:21,760 --> 00:32:24,720 Speaker 1: highest rated show that was actually on that network at 610 00:32:24,720 --> 00:32:28,840 Speaker 1: the time, and Zucker reportedly views his talent like his family. 611 00:32:28,920 --> 00:32:31,800 Speaker 1: This is from people I know who've spoken with Jeff Zucker, 612 00:32:31,840 --> 00:32:34,280 Speaker 1: and he's like, you know, really reluctant. So I do 613 00:32:34,360 --> 00:32:37,280 Speaker 1: think that this is a foreboding sign to the people 614 00:32:37,280 --> 00:32:39,160 Speaker 1: at CNN who have been getting away with this nonsense 615 00:32:39,360 --> 00:32:41,920 Speaker 1: for a very long time. This new CEO. I mean, look, 616 00:32:42,240 --> 00:32:44,200 Speaker 1: it's always taken with a grain of salt. There will 617 00:32:44,240 --> 00:32:47,400 Speaker 1: still be very annoying things that happen on that network. 618 00:32:47,520 --> 00:32:50,400 Speaker 1: But even this, the new boss was like, I don't 619 00:32:50,440 --> 00:32:54,080 Speaker 1: think so well, no way. Also because their ratings are 620 00:32:54,080 --> 00:32:57,800 Speaker 1: such trash y, yes, that always even though from a 621 00:32:57,840 --> 00:33:00,720 Speaker 1: business perspective, the ratings don't actually matter that much to 622 00:33:00,760 --> 00:33:03,360 Speaker 1: the bottom line because of much more is about, you know, 623 00:33:03,400 --> 00:33:06,000 Speaker 1: the cable carry rates. That's where most of the money 624 00:33:06,080 --> 00:33:10,080 Speaker 1: is ultimately made, especially for you know, for CNN, part 625 00:33:10,080 --> 00:33:14,640 Speaker 1: of obviously a much larger conglomerate. But it's very demoralizing 626 00:33:14,960 --> 00:33:18,520 Speaker 1: when you're at a network. Having been at MSNBC when 627 00:33:18,640 --> 00:33:24,320 Speaker 1: ratings were totally trash during the second Obama administration, and 628 00:33:24,440 --> 00:33:27,480 Speaker 1: so it's very demoralizing and it creates a lot of 629 00:33:27,520 --> 00:33:30,280 Speaker 1: agitation within the Organization for Change. And so if you 630 00:33:30,360 --> 00:33:32,840 Speaker 1: have someone come in and position of power that has 631 00:33:32,880 --> 00:33:35,840 Speaker 1: a different vision they want to implement, that gives them 632 00:33:36,080 --> 00:33:39,520 Speaker 1: the cards to play to make some big shakeups and 633 00:33:39,560 --> 00:33:42,080 Speaker 1: make some big changes. We'll see, but that is that 634 00:33:42,160 --> 00:33:46,640 Speaker 1: is very interesting, and I'm sure that the other anchors 635 00:33:46,880 --> 00:33:51,120 Speaker 1: and contributors there are definitely taking note that Chris was 636 00:33:51,160 --> 00:33:56,560 Speaker 1: actually punished for this, because there is no one who 637 00:33:56,720 --> 00:34:00,680 Speaker 1: had more power as an anchor than he did within 638 00:34:00,800 --> 00:34:05,360 Speaker 1: that organization, both because his ratings, among the terrible ratings 639 00:34:05,400 --> 00:34:09,480 Speaker 1: were the highest and because of this extremely close relationship 640 00:34:10,160 --> 00:34:13,080 Speaker 1: with jeff Sucker, and also because he's a Cuomo. I mean, 641 00:34:13,239 --> 00:34:16,640 Speaker 1: he's you know, networked in and wired into all of 642 00:34:16,680 --> 00:34:20,239 Speaker 1: the power centers in New York City and in the 643 00:34:20,320 --> 00:34:24,560 Speaker 1: state at large. So the fact that he is being 644 00:34:24,600 --> 00:34:28,120 Speaker 1: punished really says something. Now, Look, is Chris Cuomo going 645 00:34:28,160 --> 00:34:30,200 Speaker 1: to get fired? I think that's very unlikely. I think 646 00:34:30,239 --> 00:34:32,000 Speaker 1: they're probably going to do what they did with Jeffrey 647 00:34:32,000 --> 00:34:34,799 Speaker 1: Tote tubin which give him three months, hit him on 648 00:34:34,840 --> 00:34:37,680 Speaker 1: the bench for a little while, let things calm down, 649 00:34:37,960 --> 00:34:40,960 Speaker 1: let memories fade about what this whole mess was all about, 650 00:34:41,360 --> 00:34:43,960 Speaker 1: and then when it feels safe, bring them back in 651 00:34:44,360 --> 00:34:47,040 Speaker 1: and they'll be minimal outcry. I think that's kind of 652 00:34:47,080 --> 00:34:50,000 Speaker 1: the plan they have in place for him. There was 653 00:34:50,040 --> 00:34:52,040 Speaker 1: one I just had to share this one little nugget 654 00:34:52,080 --> 00:34:53,960 Speaker 1: from that CNN Taar sheet that we put up before, 655 00:34:54,000 --> 00:34:56,960 Speaker 1: because this is their in house right up by their 656 00:34:57,080 --> 00:35:01,080 Speaker 1: media critics. I think we're altered Oliver Darcy who wrote 657 00:35:01,080 --> 00:35:02,680 Speaker 1: this up, and they have this line in there that 658 00:35:02,719 --> 00:35:04,400 Speaker 1: I just thought was really funny as they're trying to 659 00:35:04,440 --> 00:35:08,600 Speaker 1: spin what is just an unconscionable, embarrassing situation for CNN, 660 00:35:08,640 --> 00:35:13,239 Speaker 1: they said. While many media critics said the suspension was necessary, 661 00:35:13,560 --> 00:35:16,839 Speaker 1: some viewers expressed disappointment that he was taken off the air. 662 00:35:17,960 --> 00:35:21,080 Speaker 1: I loved that sentence, China spin is like it was 663 00:35:21,160 --> 00:35:23,200 Speaker 1: just the media that cared about This is just media 664 00:35:23,200 --> 00:35:26,120 Speaker 1: critics who cared about the viewers are demanding Chris Cuomo 665 00:35:26,200 --> 00:35:28,240 Speaker 1: come back in the air. I thought that was amusing. 666 00:35:28,760 --> 00:35:32,520 Speaker 1: But Chris Kuoma was not the only one who came 667 00:35:32,560 --> 00:35:35,799 Speaker 1: off looking really bad in this new report that came 668 00:35:35,840 --> 00:35:38,799 Speaker 1: out from Letitia James ag of New York, who's been 669 00:35:38,840 --> 00:35:40,360 Speaker 1: on top of this thing from the beginning and is 670 00:35:40,400 --> 00:35:46,120 Speaker 1: now running for governor. So Katie Urr at MSNBC, let's 671 00:35:46,120 --> 00:35:47,680 Speaker 1: go ahead and throw this tweet up on the screen. 672 00:35:48,840 --> 00:35:52,400 Speaker 1: Katie Terror, while she was reporting on new developments of 673 00:35:52,440 --> 00:35:56,800 Speaker 1: Andrew Cuomo live on the air, is effectively reading text 674 00:35:56,840 --> 00:36:00,200 Speaker 1: messages directly from Liz Smith, who of course was a 675 00:36:00,239 --> 00:36:03,360 Speaker 1: mayor Pete adviser, but also was a longtime Cuomo advisor 676 00:36:03,440 --> 00:36:06,080 Speaker 1: and was intimately involved in the sort of cover up 677 00:36:06,080 --> 00:36:09,799 Speaker 1: and defensive Quomo thround all of this. Liz wrote, I'm 678 00:36:09,840 --> 00:36:14,080 Speaker 1: texting with Katie Turr. Katie is saying my spin live 679 00:36:14,520 --> 00:36:19,120 Speaker 1: like verbatim. Okay, And they went back and pulled the 680 00:36:19,200 --> 00:36:21,760 Speaker 1: video of what Katie Turr was saying at that point, 681 00:36:21,800 --> 00:36:26,839 Speaker 1: and she was literally reading text messages off of her phone. 682 00:36:26,960 --> 00:36:31,920 Speaker 1: So she was actually at that moment just completely regurgitating 683 00:36:32,360 --> 00:36:35,800 Speaker 1: the spin that Liz Smith was giving her on behalf 684 00:36:35,840 --> 00:36:39,000 Speaker 1: of Cuomo and not telling her audience that that's what 685 00:36:39,040 --> 00:36:41,680 Speaker 1: she was doing. And so, because this was kind of 686 00:36:41,680 --> 00:36:43,960 Speaker 1: buried in the report and didn't get as much attention 687 00:36:44,000 --> 00:36:47,279 Speaker 1: as obviously, like the big news of Chris Cuomo getting suspended. 688 00:36:47,600 --> 00:36:50,000 Speaker 1: You know, MSNBC has nothing to say about the fact 689 00:36:50,040 --> 00:36:55,719 Speaker 1: that one of their stars was just nakedly repeating the 690 00:36:55,800 --> 00:36:59,160 Speaker 1: talking points being handed to her in real time from 691 00:36:59,280 --> 00:37:04,560 Speaker 1: a political opera. These people have no shame. That is unbelievable. Also, 692 00:37:04,680 --> 00:37:07,319 Speaker 1: NBC News did not respond to a request. Yeah, well 693 00:37:07,320 --> 00:37:10,480 Speaker 1: and here's here's the thing, is like, this is how 694 00:37:10,719 --> 00:37:12,640 Speaker 1: this is par for the course. Yes, this is not 695 00:37:12,719 --> 00:37:15,880 Speaker 1: a one they just got caught. Yes, this is not 696 00:37:16,000 --> 00:37:18,640 Speaker 1: a one off. This is not a fluke. This is 697 00:37:19,080 --> 00:37:24,120 Speaker 1: totally standard operating procedure. Because these people all run in 698 00:37:24,160 --> 00:37:27,560 Speaker 1: the same circles. They're friends, they all know each other, 699 00:37:28,000 --> 00:37:32,440 Speaker 1: the reporters, they don't see themselves as you know, holding 700 00:37:32,560 --> 00:37:36,080 Speaker 1: power to account, at least not when it's their team. 701 00:37:36,280 --> 00:37:38,600 Speaker 1: They like to be in the club. They like to 702 00:37:38,600 --> 00:37:40,799 Speaker 1: feel like they're in the know. They like to feel 703 00:37:40,800 --> 00:37:43,239 Speaker 1: like they're getting text messages from someone who's close to 704 00:37:43,280 --> 00:37:46,399 Speaker 1: the powerful person or from the powerful person themselves. They 705 00:37:46,480 --> 00:37:50,480 Speaker 1: love that feeling, and not only that, they're rewarded for 706 00:37:50,520 --> 00:37:55,279 Speaker 1: it because that access then pays dividends down the road. 707 00:37:55,600 --> 00:37:59,640 Speaker 1: N contract and so stores so the closer you are, 708 00:38:00,080 --> 00:38:03,160 Speaker 1: the more chummy you are, the more ingratiated into these 709 00:38:03,160 --> 00:38:06,279 Speaker 1: social circles you are, the higher you're going to rise 710 00:38:06,400 --> 00:38:10,239 Speaker 1: at these organizations. That's how Cuomo gets to be the 711 00:38:10,640 --> 00:38:14,920 Speaker 1: you know, primetime major anchor of their network in the 712 00:38:14,960 --> 00:38:20,240 Speaker 1: first place. So the whole thing incredibly revealing peak behind 713 00:38:20,239 --> 00:38:24,080 Speaker 1: the curtain of how these people operate day in and 714 00:38:24,160 --> 00:38:27,319 Speaker 1: day out, and why they never say a critical thing, 715 00:38:27,600 --> 00:38:30,160 Speaker 1: They never want to push too hard, they want to 716 00:38:30,200 --> 00:38:33,080 Speaker 1: ask too hard of a question, all of that stuff, 717 00:38:33,320 --> 00:38:37,040 Speaker 1: or they'll just ignore stories entirely when it's inconvenient for 718 00:38:37,160 --> 00:38:40,680 Speaker 1: someone who's you know, in their circle. This is and 719 00:38:40,680 --> 00:38:42,759 Speaker 1: they're not upfront about it either. I mean that would be. 720 00:38:42,840 --> 00:38:44,400 Speaker 1: That would be if you have a conflict of interest 721 00:38:44,400 --> 00:38:46,440 Speaker 1: and you're up front about like that happens. People exist 722 00:38:46,480 --> 00:38:48,080 Speaker 1: in the world and they know each other, and you're 723 00:38:48,160 --> 00:38:49,799 Speaker 1: upfront about it, and there are ways to deal with that. 724 00:38:50,160 --> 00:38:53,360 Speaker 1: But all of this is they're pretending to be neutral, 725 00:38:53,760 --> 00:38:57,600 Speaker 1: objective actors, and really they're texting Liz Smith and repeating 726 00:38:57,600 --> 00:38:59,239 Speaker 1: her talking points so hard. You and I had done 727 00:38:59,239 --> 00:39:01,120 Speaker 1: this before. People are for office. You're like, look, he's 728 00:39:01,120 --> 00:39:03,439 Speaker 1: my friend, Like Jadie Vance. I literally is my friend, 729 00:39:03,560 --> 00:39:05,239 Speaker 1: Like I don't you know, I can't cover objectively. It's 730 00:39:05,239 --> 00:39:07,040 Speaker 1: not going to happen. Same it was J D. Schulten. 731 00:39:07,080 --> 00:39:10,360 Speaker 1: They're other people. Yeah right, she has personal friends. This 732 00:39:10,400 --> 00:39:12,239 Speaker 1: is how it happens. And you just went to be 733 00:39:12,320 --> 00:39:13,880 Speaker 1: upfront about it and just be like, listen, this is 734 00:39:13,880 --> 00:39:16,120 Speaker 1: how it is. You know. I can try to give 735 00:39:16,160 --> 00:39:18,880 Speaker 1: you some objective analysis on this, this and this, but 736 00:39:19,080 --> 00:39:21,160 Speaker 1: that's just going to call her a commentary no matter what. 737 00:39:21,320 --> 00:39:23,680 Speaker 1: And this guy was his brother, like he wasn't even 738 00:39:23,719 --> 00:39:26,920 Speaker 1: his friend. That's what really makes it crazy. Quomo did 739 00:39:26,920 --> 00:39:29,200 Speaker 1: address it on his Serious XM show. I'm sure has 740 00:39:29,200 --> 00:39:31,800 Speaker 1: a lot of listeners. There's like five people in the 741 00:39:32,440 --> 00:39:36,040 Speaker 1: media reporters, says quote. It hurts to even say it. 742 00:39:36,040 --> 00:39:38,680 Speaker 1: It's embarrassing, but I understand it. I understand why some 743 00:39:38,680 --> 00:39:40,680 Speaker 1: people feel the way they do about what I did. 744 00:39:40,920 --> 00:39:43,520 Speaker 1: I've apologized in the past, and I mean it, yeah, 745 00:39:44,560 --> 00:39:46,840 Speaker 1: in the past, he goes, It's the last thing I 746 00:39:47,000 --> 00:39:50,080 Speaker 1: ever wanted to do was compromise my colleagues. I know 747 00:39:50,160 --> 00:39:52,520 Speaker 1: they have a process that they think is important. I 748 00:39:52,600 --> 00:39:55,520 Speaker 1: respect it, so I'm not going to talk about this anymore. 749 00:39:55,680 --> 00:39:58,799 Speaker 1: Than that. You know, his apology in the past, though, 750 00:39:59,000 --> 00:40:01,680 Speaker 1: was packed full a lot. Yeah, I mean he really 751 00:40:01,760 --> 00:40:06,839 Speaker 1: miss misrepresented at best. No, he is a liar. What 752 00:40:06,880 --> 00:40:10,120 Speaker 1: he was actually doing here, I mean pumping his Just 753 00:40:10,160 --> 00:40:12,360 Speaker 1: to remind you guys, we covered the story on Tuesday, 754 00:40:12,400 --> 00:40:15,560 Speaker 1: but what came out is he was using his sources 755 00:40:15,680 --> 00:40:19,200 Speaker 1: in the media world to get information about what was 756 00:40:19,280 --> 00:40:21,040 Speaker 1: going to come out so that he could help his 757 00:40:21,120 --> 00:40:25,880 Speaker 1: brother respond. He was tracking down leads on at least 758 00:40:25,920 --> 00:40:29,560 Speaker 1: one of the women who had made an accusation. I mean, 759 00:40:29,719 --> 00:40:34,200 Speaker 1: just wildly unethical behavior. And then he was telling Melissa Derozzo, 760 00:40:34,360 --> 00:40:36,200 Speaker 1: was the top cuomo a that he was texting with, 761 00:40:36,320 --> 00:40:39,600 Speaker 1: delete this thread, so he knew. He knew in real 762 00:40:39,680 --> 00:40:43,800 Speaker 1: time that this was not remotely okay what he was doing, 763 00:40:44,200 --> 00:40:46,080 Speaker 1: and the way he portrayed it to the public was 764 00:40:46,160 --> 00:40:48,239 Speaker 1: like maybe that he'd been on a couple calls, but 765 00:40:48,280 --> 00:40:50,960 Speaker 1: that was really about it. Yeah, such a liar. Just 766 00:40:50,960 --> 00:40:53,280 Speaker 1: to give you guys a preview of what that chummy 767 00:40:53,280 --> 00:40:56,200 Speaker 1: little relationship looks like. Yesterday was jen Zaki's birthday, and 768 00:40:56,239 --> 00:40:58,279 Speaker 1: our friends in the press took the time out of 769 00:40:58,320 --> 00:41:00,799 Speaker 1: their day to sing Happy birthday to our during the 770 00:41:00,840 --> 00:41:03,920 Speaker 1: press briefing, not a joke. Let's take a listen, Zeke, 771 00:41:04,040 --> 00:41:07,680 Speaker 1: go ahead, thank you, birthday, thank you, thank you. I 772 00:41:07,719 --> 00:41:12,400 Speaker 1: appreciate that. Thank you. Twenty five feels really good, guys, 773 00:41:12,560 --> 00:41:15,239 Speaker 1: as you all know, so I appreciate it. On the 774 00:41:15,280 --> 00:41:17,880 Speaker 1: topic of cod and someone who was once in the 775 00:41:17,880 --> 00:41:20,920 Speaker 1: press corps, yeah, that was never happening under Starah Sanders 776 00:41:20,960 --> 00:41:24,320 Speaker 1: and probably a good thing. Okay, Happy birthday to Kayla. 777 00:41:24,440 --> 00:41:27,360 Speaker 1: It's so embarrassing, Jean Spicer. What is wrong with you? 778 00:41:27,440 --> 00:41:29,840 Speaker 1: People I really good like and they know they're on 779 00:41:30,000 --> 00:41:33,080 Speaker 1: camera and they just don't care. I actually I wouldn't 780 00:41:33,160 --> 00:41:35,760 Speaker 1: mind if it was consistent, like they sang happy birthday 781 00:41:35,800 --> 00:41:39,080 Speaker 1: for everyone, I wouldn't actually mind. Yeah right, Yeah, that's 782 00:41:39,080 --> 00:41:43,480 Speaker 1: the whole point. Yeah, okay, all right. Uh that's all 783 00:41:43,520 --> 00:41:45,400 Speaker 1: you need to know about that story and the people 784 00:41:45,440 --> 00:41:48,320 Speaker 1: that generally try to bring you the news quote unquote. 785 00:41:48,480 --> 00:41:50,800 Speaker 1: So let's move on to this one. It's really interesting 786 00:41:51,120 --> 00:41:54,600 Speaker 1: the Women's Tennis Organization has from the very beginning of 787 00:41:54,760 --> 00:41:57,960 Speaker 1: punshwise initial disappearance and then they put out these hostage 788 00:41:58,000 --> 00:42:01,120 Speaker 1: videos in China and that hostage statement from her basically 789 00:42:01,120 --> 00:42:03,920 Speaker 1: saying hello everyone, this is punk Shui. I'm fine, I 790 00:42:04,040 --> 00:42:07,480 Speaker 1: may return and promote Chinese tennis. By the way, those 791 00:42:07,480 --> 00:42:10,640 Speaker 1: accusations against the former Vice Premier of China are totally 792 00:42:10,680 --> 00:42:14,319 Speaker 1: not true, and everything that the WAWTA said was a 793 00:42:14,400 --> 00:42:18,560 Speaker 1: lie pointing at the Women's Tennis Organization. Now, to their 794 00:42:18,719 --> 00:42:22,400 Speaker 1: eternal credit, the Women's Tennis Organization has taken one of 795 00:42:22,440 --> 00:42:25,520 Speaker 1: the most brave stances that I have seen in Western 796 00:42:25,560 --> 00:42:29,080 Speaker 1: sports so far, when that's comes with Chinese political entanglements. 797 00:42:29,360 --> 00:42:33,080 Speaker 1: Their chairman, Steve Simon has repeatedly come out and said, 798 00:42:33,320 --> 00:42:35,600 Speaker 1: we don't believe this statement was written by Punk Shui. 799 00:42:35,840 --> 00:42:38,839 Speaker 1: We think she's still, you know, in danger. We're very 800 00:42:38,880 --> 00:42:43,920 Speaker 1: concerned about her safety, about her initial accusation, and you know, 801 00:42:44,120 --> 00:42:46,520 Speaker 1: I already know this segment will be demonetized. I don't 802 00:42:46,560 --> 00:42:50,560 Speaker 1: really care, but you know, she in her initial accusation 803 00:42:51,080 --> 00:42:54,560 Speaker 1: on Wibo on Chinese social media, said that she was 804 00:42:54,640 --> 00:42:57,160 Speaker 1: raped by the former Vice Premier of China, one of 805 00:42:57,160 --> 00:43:00,600 Speaker 1: the most powerful men. Allegedly he's a billionaire, really runs 806 00:43:00,640 --> 00:43:02,600 Speaker 1: a lot of the things behind the scenes. It was 807 00:43:02,640 --> 00:43:05,480 Speaker 1: taken down within thirty minutes from the entire Chinese Internet. 808 00:43:05,480 --> 00:43:08,800 Speaker 1: It was scrubbed, and then she was disappeared for matter lost. 809 00:43:08,880 --> 00:43:11,719 Speaker 1: You couldn't respond to her, locked nothing, she was totally 810 00:43:12,000 --> 00:43:14,160 Speaker 1: locked down. And then the fake statement came out of 811 00:43:14,200 --> 00:43:17,320 Speaker 1: her saying that it wasn't true. Now from the beginning, 812 00:43:17,600 --> 00:43:20,160 Speaker 1: WTA has been saying, we don't believe these statements. We 813 00:43:20,200 --> 00:43:22,360 Speaker 1: do think the initial actisation was true. We're very concerned 814 00:43:22,360 --> 00:43:24,160 Speaker 1: about our safety. We haven't been able to get in 815 00:43:24,200 --> 00:43:27,040 Speaker 1: touch with her. They put out that statement, etc. Then 816 00:43:27,239 --> 00:43:29,759 Speaker 1: initially they released those hostage videos. I put you those 817 00:43:29,800 --> 00:43:31,799 Speaker 1: where the she was like, Hi, it's me Pung. I'm 818 00:43:31,800 --> 00:43:33,719 Speaker 1: out and dinner with my friends. By the way, the 819 00:43:33,840 --> 00:43:36,840 Speaker 1: date is so and so. Yes, I always say the 820 00:43:36,920 --> 00:43:39,960 Speaker 1: date in the course of when I'm having dinner with 821 00:43:40,000 --> 00:43:43,000 Speaker 1: my friends while also they're filming me. If that happens, 822 00:43:43,000 --> 00:43:46,680 Speaker 1: it's usually a weirdo. Okay. So the WTA has now 823 00:43:46,719 --> 00:43:48,799 Speaker 1: put out a statement, a very brave statement, let's put 824 00:43:48,800 --> 00:43:51,359 Speaker 1: it up there on the screen, saying that they will 825 00:43:51,400 --> 00:43:55,920 Speaker 1: be suspending all tournaments in China from here on out. Now, 826 00:43:56,120 --> 00:44:00,680 Speaker 1: this is a huge deal because of Pung. Actually, China 827 00:44:02,040 --> 00:44:07,319 Speaker 1: women's tennis was becoming quite popular within China, and merchandise 828 00:44:07,480 --> 00:44:11,040 Speaker 1: and more that Pung was associated with was becoming big. 829 00:44:11,280 --> 00:44:13,520 Speaker 1: You know, she was held up by the Chinese state 830 00:44:13,719 --> 00:44:17,400 Speaker 1: as a propaganda saying like, look at this amazing tennis player. 831 00:44:17,840 --> 00:44:20,120 Speaker 1: She is one of the world's best women's tennis player, 832 00:44:20,239 --> 00:44:22,400 Speaker 1: especially in doubles, and so they were holding her up 833 00:44:22,440 --> 00:44:25,240 Speaker 1: as an ideal of the Chinese woman and the Chinese 834 00:44:25,280 --> 00:44:29,480 Speaker 1: athlete of the world. States a literal household. Remember household 835 00:44:29,560 --> 00:44:33,040 Speaker 1: name there is a billion people. Okay, So women's tennis 836 00:44:33,200 --> 00:44:36,879 Speaker 1: was actually a tennis organization that would draw a lot 837 00:44:36,920 --> 00:44:39,120 Speaker 1: of people. I can tell you know why you lived 838 00:44:39,160 --> 00:44:41,480 Speaker 1: in Qatar when I was a kid, and they would 839 00:44:41,560 --> 00:44:43,440 Speaker 1: always have these you know, the stars that would come 840 00:44:43,480 --> 00:44:46,360 Speaker 1: in and they would do these, you know, exhibition tournaments 841 00:44:46,360 --> 00:44:48,480 Speaker 1: and more. These are big money makers for the players 842 00:44:48,719 --> 00:44:51,719 Speaker 1: and for the tennis associations themselves. They don't actually make 843 00:44:51,760 --> 00:44:54,120 Speaker 1: all that much of their income on the big ones, 844 00:44:54,120 --> 00:44:56,680 Speaker 1: the Wimbledon's, the US Open and more. So, these are 845 00:44:56,719 --> 00:44:59,480 Speaker 1: where your real money is made as an athlete, in 846 00:44:59,520 --> 00:45:01,960 Speaker 1: the fee and all that stuff that it generates. So 847 00:45:02,160 --> 00:45:05,759 Speaker 1: for the Women's Tennis organization to declare non grada, we 848 00:45:05,840 --> 00:45:11,160 Speaker 1: are not coming to China whatsoever. Recognizing penchwise message, they said, 849 00:45:11,200 --> 00:45:14,600 Speaker 1: has to be listened and taken seriously. The players, the 850 00:45:14,640 --> 00:45:18,360 Speaker 1: women around the world, they're saying, are not agreeing to 851 00:45:18,480 --> 00:45:21,880 Speaker 1: play in China. This is Look. I don't really like 852 00:45:21,960 --> 00:45:25,360 Speaker 1: Naomi Osaka and her trauma BS or whatever in the past, 853 00:45:25,360 --> 00:45:28,720 Speaker 1: but credit to her for coming out putting that tweet. 854 00:45:28,880 --> 00:45:33,080 Speaker 1: Because it's over whatever you had endorsed in the past 855 00:45:33,400 --> 00:45:36,520 Speaker 1: or any ad reads, you will be disappeared from the 856 00:45:36,600 --> 00:45:40,080 Speaker 1: Chinese Internet, from Chinese society. It basically won't exist over there. 857 00:45:40,200 --> 00:45:43,960 Speaker 1: Same thing with Novak Djokovic posting these things, Serena Williams. 858 00:45:44,440 --> 00:45:46,600 Speaker 1: I mean, these people, they work with Nike, and we 859 00:45:46,680 --> 00:45:50,280 Speaker 1: know that Nike has used its lobbying organization to lobby 860 00:45:50,320 --> 00:45:53,640 Speaker 1: against slave labor restrictions on cotton here in the United 861 00:45:53,640 --> 00:45:56,680 Speaker 1: States in our Congress. So it's a lot of their 862 00:45:56,719 --> 00:45:58,600 Speaker 1: business deals at risk. And you might say, look, these 863 00:45:58,600 --> 00:46:01,640 Speaker 1: are people who are already but we've seen in the 864 00:46:01,680 --> 00:46:05,480 Speaker 1: past people Lebron's okay still like, oh, I don't want 865 00:46:05,480 --> 00:46:07,880 Speaker 1: to risk you know, making even more money. It seems 866 00:46:07,920 --> 00:46:09,840 Speaker 1: like people who are rich like it's never enough. No 867 00:46:09,960 --> 00:46:12,479 Speaker 1: James Harden and Lebron. I don't think if Lebron's actually 868 00:46:12,480 --> 00:46:14,120 Speaker 1: a billionaire by the way, but you know, he's probably 869 00:46:14,120 --> 00:46:17,960 Speaker 1: pretty cool, he's good billion or something like that didn't 870 00:46:17,960 --> 00:46:20,640 Speaker 1: stop him from licking the boots during I mean, I 871 00:46:20,640 --> 00:46:22,840 Speaker 1: think it's and I think their statement is pretty interesting 872 00:46:22,880 --> 00:46:26,160 Speaker 1: because they say, in good conscience, this is from the 873 00:46:26,160 --> 00:46:30,880 Speaker 1: World Tennis or Association, in Women's Tennis Association and good conscience. 874 00:46:30,920 --> 00:46:32,920 Speaker 1: I don't see how I can ask our athletes to 875 00:46:32,960 --> 00:46:36,040 Speaker 1: compete there when Punkshwai is not allowed to communicate freely 876 00:46:36,080 --> 00:46:38,480 Speaker 1: and has seemingly even pressure to contradict her allegation of 877 00:46:38,480 --> 00:46:41,399 Speaker 1: sexual assault. Given the current state of affairs, I'm so 878 00:46:41,440 --> 00:46:43,560 Speaker 1: greatly concerned about the risk that all of our players 879 00:46:43,560 --> 00:46:45,280 Speaker 1: and staff could face if we were to hold events 880 00:46:45,320 --> 00:46:47,200 Speaker 1: in China in twenty twenty two. As part of the 881 00:46:47,200 --> 00:46:49,920 Speaker 1: statement here, and I do think the fact that you 882 00:46:50,120 --> 00:46:55,400 Speaker 1: had so many top stars come out and you know, 883 00:46:55,640 --> 00:46:59,840 Speaker 1: make their feelings on this clear. And again, WTA has 884 00:46:59,880 --> 00:47:01,719 Speaker 1: been good from the start, but I'm sure the fact 885 00:47:01,760 --> 00:47:04,319 Speaker 1: that they had some of their most visible backup from 886 00:47:04,360 --> 00:47:08,600 Speaker 1: the biggest stars. And look, I mean, all these these players, 887 00:47:08,600 --> 00:47:12,000 Speaker 1: they're close, they know each other really well. So I'm 888 00:47:12,040 --> 00:47:15,520 Speaker 1: sure the fact that especially when she nobody even knew 889 00:47:15,520 --> 00:47:20,400 Speaker 1: where she was like that personal attachment and concern for 890 00:47:20,480 --> 00:47:23,080 Speaker 1: someone that you know quite well. I'm sure really weighed 891 00:47:23,120 --> 00:47:26,160 Speaker 1: heavily into all of this, but pretty interesting development. I 892 00:47:26,200 --> 00:47:30,280 Speaker 1: mean amount of courage that really cannot be overstated because 893 00:47:31,200 --> 00:47:34,440 Speaker 1: this is real financial consequences which will hit all of 894 00:47:34,440 --> 00:47:36,360 Speaker 1: these athletes in the future. I'm certain of it. It 895 00:47:36,360 --> 00:47:39,000 Speaker 1: could cost them tens of millions, if not hundreds of 896 00:47:39,000 --> 00:47:41,960 Speaker 1: millions of dollars in endorsement deals. Nike and all of 897 00:47:42,000 --> 00:47:44,920 Speaker 1: them are one hundred percent getting calls from the CCPs 898 00:47:45,239 --> 00:47:47,719 Speaker 1: telling these people to go ahead and shut up. And 899 00:47:47,800 --> 00:47:50,200 Speaker 1: I wanted to show everybody here the other side of 900 00:47:50,239 --> 00:47:53,719 Speaker 1: the coin. This is what the billionaires, This particularly one 901 00:47:53,719 --> 00:47:56,600 Speaker 1: I'm about to show you. Ray Daalio is famous on 902 00:47:56,640 --> 00:47:58,759 Speaker 1: Wall Street for being one of the first people to 903 00:47:59,000 --> 00:48:02,000 Speaker 1: invest in China. He's traveled to China many times. He 904 00:48:02,120 --> 00:48:05,839 Speaker 1: is one of the top apologists in China or sorry, 905 00:48:05,880 --> 00:48:08,320 Speaker 1: in the United States and on Wall Street. For China. 906 00:48:08,360 --> 00:48:10,520 Speaker 1: It's basically saying, I don't really care what the Chinese 907 00:48:10,560 --> 00:48:12,920 Speaker 1: government does as long as they make me money. He 908 00:48:13,000 --> 00:48:16,120 Speaker 1: was recently on CNBC The Billionaires Network. Every once in 909 00:48:16,160 --> 00:48:19,640 Speaker 1: a while, they get lobbed a difficult question watch this 910 00:48:19,760 --> 00:48:24,680 Speaker 1: man twist himself in order to explain that China's disappearance 911 00:48:24,719 --> 00:48:27,720 Speaker 1: of jack Ma and of Punkshui is just them acting 912 00:48:27,840 --> 00:48:30,720 Speaker 1: like a strict parent, not a joke. Let's take a listen. 913 00:48:31,680 --> 00:48:33,080 Speaker 1: One of the quick questions I just want to ask 914 00:48:33,120 --> 00:48:36,799 Speaker 1: on China though, is clearly there's human rights issues. There's 915 00:48:36,880 --> 00:48:40,000 Speaker 1: questions right now about this Chinese tennis player Peng Shui. 916 00:48:40,160 --> 00:48:43,279 Speaker 1: There have been questions about jack Ma. How do you 917 00:48:43,400 --> 00:48:46,520 Speaker 1: think about that piece of it when it relates to 918 00:48:46,600 --> 00:48:50,040 Speaker 1: investing there, Well, I can't be an expert in those 919 00:48:50,040 --> 00:48:52,319 Speaker 1: types of things. What I basically do what I'm for 920 00:48:52,440 --> 00:48:57,040 Speaker 1: fifty years, I'd invested all over the world. I look 921 00:48:57,440 --> 00:49:01,080 Speaker 1: to whatever the rules are, if the govern mincent has 922 00:49:01,120 --> 00:49:03,560 Speaker 1: a policy that I should do a certain thing and 923 00:49:03,600 --> 00:49:06,120 Speaker 1: so on. But I can't be an expert in all 924 00:49:06,160 --> 00:49:10,680 Speaker 1: of those those particular dynamics of that. I really have 925 00:49:10,800 --> 00:49:14,120 Speaker 1: no idea. They so the guidance of the you know, 926 00:49:14,200 --> 00:49:16,799 Speaker 1: the government, and is you know the most important thing. 927 00:49:17,160 --> 00:49:20,560 Speaker 1: It's these are political, It's like and then I look 928 00:49:20,600 --> 00:49:23,160 Speaker 1: at the United States and I say, well, what's going 929 00:49:23,200 --> 00:49:25,320 Speaker 1: on in the United States? And should I not invest 930 00:49:25,320 --> 00:49:28,480 Speaker 1: in the United States? Because other things are not our 931 00:49:28,560 --> 00:49:31,239 Speaker 1: own human rights issues or other things, you know, And 932 00:49:31,280 --> 00:49:35,080 Speaker 1: I'm not trying to make political comparisons. I'm basically just 933 00:49:35,200 --> 00:49:38,560 Speaker 1: trying to follow the rules, understand what's going on, and 934 00:49:39,080 --> 00:49:43,880 Speaker 1: invest properly in the way you recognize, Yeah, I mean, 935 00:49:43,920 --> 00:49:46,640 Speaker 1: he goes on there to be like you recognize that 936 00:49:46,680 --> 00:49:50,560 Speaker 1: there's a little bit of a difference here, and actually difference. 937 00:49:50,600 --> 00:49:52,919 Speaker 1: I just think, look at the twists of the urs 938 00:49:52,920 --> 00:49:55,240 Speaker 1: of this once what we were just pointing to Crystal, 939 00:49:55,560 --> 00:49:58,160 Speaker 1: He's a billionaire many times over. This is one of 940 00:49:58,160 --> 00:50:00,319 Speaker 1: the richest people on the planet. Yeah, I mean, is 941 00:50:00,320 --> 00:50:02,640 Speaker 1: one of the richest men in the world, top hedge 942 00:50:02,640 --> 00:50:05,880 Speaker 1: funder in the world. So you've got plenty of money. 943 00:50:06,120 --> 00:50:08,160 Speaker 1: One can't just be like, yeah, it's pretty messed up. 944 00:50:08,200 --> 00:50:10,840 Speaker 1: It may you know, reconsider what I you know in 945 00:50:10,920 --> 00:50:13,800 Speaker 1: that it doesn't matter. It doesn't you know, every single 946 00:50:13,840 --> 00:50:17,880 Speaker 1: time these people bend over backwards because they worship at 947 00:50:17,880 --> 00:50:20,560 Speaker 1: the altar of money. Jamie Diamond, the same thing just 948 00:50:20,600 --> 00:50:23,200 Speaker 1: happened put us up there on the screen. Happened over 949 00:50:23,239 --> 00:50:26,200 Speaker 1: the Thanksgiving weekend. He was at a conference. He made 950 00:50:26,239 --> 00:50:29,480 Speaker 1: a joke that the bank was likely to outlast China's 951 00:50:29,480 --> 00:50:32,160 Speaker 1: Communist Party. He immediately had to come out and say, 952 00:50:32,320 --> 00:50:36,360 Speaker 1: I have so sorry. I regret making that statement. I 953 00:50:36,440 --> 00:50:40,360 Speaker 1: should not have made a joke that JP Morgan the 954 00:50:40,400 --> 00:50:44,520 Speaker 1: bank is likely to the Chinese Communist Party. I was 955 00:50:44,520 --> 00:50:47,480 Speaker 1: not even a joke. Is actually not funny. Yeah, it's 956 00:50:47,480 --> 00:50:49,680 Speaker 1: actually not funny at all. So I think working a 957 00:50:49,719 --> 00:50:51,799 Speaker 1: little loose with terminology when we call it a yes. 958 00:50:51,960 --> 00:50:54,960 Speaker 1: But anyway, Jamie Diamond is a billionaire, okay, a billionaire, 959 00:50:55,120 --> 00:50:58,960 Speaker 1: well well established on Wall Street, but they've got too 960 00:50:59,040 --> 00:51:01,600 Speaker 1: much money in order to lose, and the Chinese Communist 961 00:51:01,600 --> 00:51:04,600 Speaker 1: Party has made it clear that if you cross us 962 00:51:04,600 --> 00:51:08,160 Speaker 1: in any way, even in your own country, doesn't matter boom, 963 00:51:08,320 --> 00:51:11,680 Speaker 1: You're going to get hit with massive financial consequences. So 964 00:51:12,280 --> 00:51:15,400 Speaker 1: that is just two sides of the coin. The WTA 965 00:51:15,480 --> 00:51:17,880 Speaker 1: is going to lose money and in the future they 966 00:51:17,920 --> 00:51:20,839 Speaker 1: will never forget this. I've spoken with people who were 967 00:51:20,880 --> 00:51:23,840 Speaker 1: involved with Eye Way Way when he got the Nobel 968 00:51:23,880 --> 00:51:27,920 Speaker 1: Prize and all that Sweden never recovered economically from what 969 00:51:28,200 --> 00:51:32,319 Speaker 1: China did to them previously. With South Korea. People might 970 00:51:32,360 --> 00:51:35,920 Speaker 1: remember this, but twenty fifteen, sixteen or whatever, we decided 971 00:51:35,960 --> 00:51:38,960 Speaker 1: to put these things called the THAD missile system inside 972 00:51:38,960 --> 00:51:42,359 Speaker 1: of South Korea is a North Korean missile defense thing. 973 00:51:42,520 --> 00:51:46,640 Speaker 1: China freaked out about it. Anyway, they started waging massive 974 00:51:46,680 --> 00:51:51,760 Speaker 1: economic warfare on the South Koreans. Canceling concerts, canceling tourism, 975 00:51:51,840 --> 00:51:53,640 Speaker 1: one of the number one things that was happening with 976 00:51:53,680 --> 00:51:57,279 Speaker 1: South Korea caused a real economic problem for them over there. 977 00:51:57,400 --> 00:51:59,279 Speaker 1: That's what they do on the nation state level. On 978 00:51:59,440 --> 00:52:04,560 Speaker 1: the private company level, H and M again, the Swedish company, 979 00:52:05,080 --> 00:52:07,880 Speaker 1: was massively lashed out for just for putting out a 980 00:52:07,880 --> 00:52:11,280 Speaker 1: statement saying we will not be buying cotton from Xinjang. 981 00:52:11,560 --> 00:52:14,160 Speaker 1: Same with Nike having to put out that statement. They 982 00:52:14,280 --> 00:52:17,080 Speaker 1: disappeared H and M from the Chinese Internet. It cost 983 00:52:17,239 --> 00:52:20,120 Speaker 1: H and M billions and billions of dollars in sales, 984 00:52:20,239 --> 00:52:22,880 Speaker 1: not to mention problems in terms of their supply. So 985 00:52:23,080 --> 00:52:26,200 Speaker 1: this is a very real, a real thing. And that's 986 00:52:26,239 --> 00:52:28,520 Speaker 1: two sides of the coin. The boot liquors and then 987 00:52:28,560 --> 00:52:30,920 Speaker 1: the people who are like, no, you know what, We're 988 00:52:30,920 --> 00:52:32,640 Speaker 1: actually going to stand up and we're going to make 989 00:52:32,640 --> 00:52:34,680 Speaker 1: a choice. It's not the easy one. And I think 990 00:52:34,680 --> 00:52:36,600 Speaker 1: that not enough people get enough credit for me. The 991 00:52:36,640 --> 00:52:39,920 Speaker 1: interesting thing about Dahalio two is he's not consistently terrible. 992 00:52:40,120 --> 00:52:42,120 Speaker 1: Sometimes he says things that are actually here every once 993 00:52:42,120 --> 00:52:44,000 Speaker 1: in a while. So like he said that he thought 994 00:52:44,440 --> 00:52:47,799 Speaker 1: inequality was his settler was like a dire threat to 995 00:52:47,800 --> 00:52:51,120 Speaker 1: the or a imminent threat or something like that. He's 996 00:52:51,160 --> 00:52:54,239 Speaker 1: made some decent he said it was a national emergency, 997 00:52:54,239 --> 00:52:57,600 Speaker 1: That's what he said. So he's like, not consistently terrible. Yeah, 998 00:52:57,600 --> 00:52:58,799 Speaker 1: But then he's one of those people who'd be like, 999 00:52:58,800 --> 00:53:02,640 Speaker 1: but the inequality is the federal reserves fault, right well, 1000 00:53:02,840 --> 00:53:05,279 Speaker 1: or the moment that you were like, all right, well 1001 00:53:05,320 --> 00:53:10,480 Speaker 1: tax you'd be like, you know, yeah, exactly, Look, doubt 1002 00:53:10,760 --> 00:53:13,480 Speaker 1: can't be an idiot and become a multi billionaire. But 1003 00:53:13,880 --> 00:53:16,560 Speaker 1: you know, this just goes to show you that, if anything, 1004 00:53:16,600 --> 00:53:20,239 Speaker 1: it's worse whenever you're able to elucidate something intelligent on 1005 00:53:20,239 --> 00:53:22,879 Speaker 1: one subject, then you twist yourself into a pretzel whenever 1006 00:53:22,920 --> 00:53:25,680 Speaker 1: you're asked one of the most basic questions about well 1007 00:53:25,719 --> 00:53:27,719 Speaker 1: does this Here's the other thing. He didn't even say, 1008 00:53:27,840 --> 00:53:29,640 Speaker 1: are you going to stop investing in China? He's like, 1009 00:53:29,719 --> 00:53:32,680 Speaker 1: does this impact your thinking at all? I could have 1010 00:53:32,680 --> 00:53:34,480 Speaker 1: given a better answer if I was a shill I 1011 00:53:34,480 --> 00:53:37,240 Speaker 1: would have been like, you know, it's certainly something of concern, 1012 00:53:37,440 --> 00:53:39,319 Speaker 1: but our core metrics show that we're going to see 1013 00:53:39,320 --> 00:53:41,920 Speaker 1: growth for our investors, for ourselves, and we foresee a 1014 00:53:41,920 --> 00:53:44,920 Speaker 1: better future. I like it when people are just up front, Yeah, 1015 00:53:44,960 --> 00:53:47,279 Speaker 1: we make a lot of money there. Yeah, and I 1016 00:53:47,360 --> 00:53:50,000 Speaker 1: know I won't make that money if I say anything. Yeah, 1017 00:53:50,200 --> 00:53:53,520 Speaker 1: I'm this question, next question, Andrew. Honestly, it would have 1018 00:53:53,560 --> 00:53:58,080 Speaker 1: been better. We would have been better off. Speaking of corruption, money, 1019 00:53:58,320 --> 00:54:00,240 Speaker 1: all of that at the highest level. Let's move on 1020 00:54:00,360 --> 00:54:02,840 Speaker 1: the Maxwell trial. We've had a first couple of days 1021 00:54:03,040 --> 00:54:07,359 Speaker 1: of what's been happening. There no bombshell revelations necessarily at 1022 00:54:07,360 --> 00:54:10,279 Speaker 1: the top, but more a lot of confirmation of what 1023 00:54:10,320 --> 00:54:14,239 Speaker 1: we already knew. The biggest accusation actually that we saw 1024 00:54:14,280 --> 00:54:16,120 Speaker 1: for the very first time. Let's put us up there 1025 00:54:16,239 --> 00:54:20,200 Speaker 1: on the screen, the first alleged victim called in the trials. 1026 00:54:20,200 --> 00:54:23,520 Speaker 1: They testified, and honestly, by the way of Gallaine, Maxwell 1027 00:54:23,719 --> 00:54:27,040 Speaker 1: has testified under cross examination that Epstein actually took her 1028 00:54:27,080 --> 00:54:30,799 Speaker 1: to Marrow Lago when she was fourteen years old to 1029 00:54:30,920 --> 00:54:33,840 Speaker 1: meet Donald Trump. To be clear, she did not allege 1030 00:54:33,920 --> 00:54:38,040 Speaker 1: any improper behavior by Trump or characterized the meeting. But 1031 00:54:38,600 --> 00:54:42,160 Speaker 1: this pairs with the fact that this trial is just 1032 00:54:42,280 --> 00:54:46,560 Speaker 1: revealing the depths of which Gallaine Maxwell and which Jeffrey 1033 00:54:46,600 --> 00:54:49,520 Speaker 1: Epstein covorted with some of the most famous and richest 1034 00:54:49,560 --> 00:54:53,120 Speaker 1: people on the planet. They're pilot of Jeffrey Epstein's Lolita Express, 1035 00:54:53,360 --> 00:54:56,359 Speaker 1: a picture of which was actually released recently. They went 1036 00:54:56,400 --> 00:54:59,080 Speaker 1: out and said that he's like, look, I've seen people 1037 00:54:59,239 --> 00:55:05,200 Speaker 1: like Donald Trump, Bill Clinton, Prince Andrew, celebrities, Kevin Spacey 1038 00:55:05,880 --> 00:55:09,399 Speaker 1: on the plane. And he said, look, I've never seen 1039 00:55:09,440 --> 00:55:12,920 Speaker 1: any improper, you know, sexual behavior or whatever. But I 1040 00:55:12,960 --> 00:55:14,480 Speaker 1: saw a lot of young women. I saw a lot 1041 00:55:14,520 --> 00:55:17,880 Speaker 1: of these famous people on the plane. Well, thought everybody 1042 00:55:17,960 --> 00:55:21,239 Speaker 1: was of age on the plane too. Cover in bud, Yeah, 1043 00:55:21,239 --> 00:55:23,440 Speaker 1: he's covering his ass. And we actually already know from 1044 00:55:23,480 --> 00:55:26,520 Speaker 1: the past that Epstein forced some of these young girls 1045 00:55:26,560 --> 00:55:29,160 Speaker 1: to actually dress up in flight attendant's uniforms in order 1046 00:55:29,200 --> 00:55:30,680 Speaker 1: to get them on the plane and fly them all 1047 00:55:30,680 --> 00:55:33,799 Speaker 1: around the world. And one of those women actually was 1048 00:55:33,840 --> 00:55:38,120 Speaker 1: photographed giving a massage to Bill Clinton in an airport terminal, 1049 00:55:38,200 --> 00:55:42,440 Speaker 1: so at the direction actually of Glene Maxwell. Also important, 1050 00:55:42,440 --> 00:55:47,600 Speaker 1: though for other cases, is that he did testify that 1051 00:55:47,920 --> 00:55:51,680 Speaker 1: he had seen Virginia Gouffrey, one of the most prominent 1052 00:55:51,719 --> 00:55:55,640 Speaker 1: Epsteine accusers on the plane, so this testimony could actually 1053 00:55:55,719 --> 00:55:58,960 Speaker 1: back up not only her accusations against Maxwell, but in 1054 00:55:59,000 --> 00:56:02,600 Speaker 1: her civil case against Prince Andrew, which in my opinion, 1055 00:56:02,800 --> 00:56:05,960 Speaker 1: those are the much more significant ones. I mean, it's 1056 00:56:06,080 --> 00:56:08,640 Speaker 1: very difficult here because also I didn't know this, but 1057 00:56:08,920 --> 00:56:13,239 Speaker 1: James Comy's daughter is the woman who's prosecuting Maxwell. Oh really, yes, 1058 00:56:13,480 --> 00:56:17,279 Speaker 1: she's the lead prosecutor on behalf of the Department of Justice. Yeah, 1059 00:56:17,280 --> 00:56:21,000 Speaker 1: it's my world, I guess. And one of the problems though, 1060 00:56:21,280 --> 00:56:24,680 Speaker 1: is that they are charging her with crimes from the 1061 00:56:24,800 --> 00:56:27,680 Speaker 1: nineteen ninety nine and then two thousand and four, and 1062 00:56:27,800 --> 00:56:29,960 Speaker 1: a lot of Epstein's connections. I'm not saying all of 1063 00:56:30,000 --> 00:56:33,120 Speaker 1: them with the richest and most powerful. The most problematic 1064 00:56:33,120 --> 00:56:36,360 Speaker 1: ones actually came after he was convicted as a sex offender, 1065 00:56:36,719 --> 00:56:39,000 Speaker 1: because a it was already known that he was a 1066 00:56:39,000 --> 00:56:41,640 Speaker 1: sex offender, and B that's when he started getting involved 1067 00:56:41,680 --> 00:56:46,480 Speaker 1: with the Israeli Prime Minister ade Barack Bill Clinton obviously Hillary, 1068 00:56:46,880 --> 00:56:50,200 Speaker 1: and then we know also you know, in terms of 1069 00:56:50,400 --> 00:56:54,960 Speaker 1: Bill Gates, all that relationship that was post sex offender conviction. 1070 00:56:55,120 --> 00:56:59,959 Speaker 1: Leon Black. That is when Deutsche Bank being fined having 1071 00:57:00,120 --> 00:57:04,720 Speaker 1: known of his involvement in his past sexual offender history. 1072 00:57:04,960 --> 00:57:08,160 Speaker 1: That's when some of the most nefarious conduct from what 1073 00:57:08,239 --> 00:57:10,480 Speaker 1: I can see, that he was engaged in, actually is 1074 00:57:10,480 --> 00:57:13,239 Speaker 1: when it all began to happen. So, look, we have 1075 00:57:13,280 --> 00:57:15,480 Speaker 1: a tear sheet. Let's put us up there to the 1076 00:57:15,600 --> 00:57:19,760 Speaker 1: actual accusation. The very first day of testimony, the anonymous accuser, 1077 00:57:19,840 --> 00:57:23,240 Speaker 1: her name is Jane, testified that Glaine Maxwell and Epstein 1078 00:57:23,280 --> 00:57:26,640 Speaker 1: sexually abused her when she was fourteen. The key though 1079 00:57:27,120 --> 00:57:29,880 Speaker 1: in a lot of this for the Maxwell defense is 1080 00:57:29,920 --> 00:57:33,560 Speaker 1: that they alleged that Maxwell is on trial for the 1081 00:57:33,640 --> 00:57:36,120 Speaker 1: crimes of Epstein. They're like, look, we agree Epstein was 1082 00:57:36,120 --> 00:57:38,640 Speaker 1: a sex offender. Epstein was doing all this, but Gahlaine 1083 00:57:38,680 --> 00:57:42,440 Speaker 1: Maxwell never participated in any of it. But per the 1084 00:57:42,520 --> 00:57:46,440 Speaker 1: testimony and more, she was not only sexually abused by 1085 00:57:46,520 --> 00:57:51,560 Speaker 1: Jeffrey Epstein, but Ghlaine Maxwell both procured her, groomed her, 1086 00:57:51,880 --> 00:57:56,280 Speaker 1: and in some cases actually participated in the sexual assault herself. 1087 00:57:56,680 --> 00:58:02,960 Speaker 1: She's no victim. The stories the story of Jane Doe accuser, Oh, 1088 00:58:03,000 --> 00:58:07,120 Speaker 1: it's horrid. Whi's fourteen years old, She's a she sees 1089 00:58:07,160 --> 00:58:09,960 Speaker 1: this couple. She's at the sort of like exclusive private 1090 00:58:10,000 --> 00:58:14,600 Speaker 1: school in Michigan, the Interlocan School, and they they approach 1091 00:58:14,640 --> 00:58:19,760 Speaker 1: her very friendly. And also her father had died and 1092 00:58:19,800 --> 00:58:25,720 Speaker 1: her mom had fallen on difficult financial times. So they're 1093 00:58:25,760 --> 00:58:28,400 Speaker 1: preying on someone who's not only a young girl, but 1094 00:58:28,520 --> 00:58:33,320 Speaker 1: in a very vulnerable situation. And over time she describes 1095 00:58:33,440 --> 00:58:36,240 Speaker 1: the way that she's groomed by Golaine, which to me, 1096 00:58:36,920 --> 00:58:40,640 Speaker 1: I mean that whole process is almost as disgusting as 1097 00:58:40,840 --> 00:58:44,280 Speaker 1: the act itself. And then, but not only that, she 1098 00:58:44,480 --> 00:58:49,800 Speaker 1: then is participating in the actual abuse. So yeah, I 1099 00:58:49,800 --> 00:58:53,160 Speaker 1: mean it's douneing in. The defense's approach is to basically 1100 00:58:53,240 --> 00:58:56,560 Speaker 1: smear these women. Say they're fame seekers. Say they're just 1101 00:58:56,600 --> 00:59:00,680 Speaker 1: looking for money when you're anonymous, say that right, say 1102 00:59:00,720 --> 00:59:03,440 Speaker 1: that you know as you said that, Oh, Gallaine's being 1103 00:59:03,480 --> 00:59:06,080 Speaker 1: persecuted for the crimes of this man, and turn it 1104 00:59:06,120 --> 00:59:09,480 Speaker 1: into almost like a gender or feminist kind of an argument. 1105 00:59:10,360 --> 00:59:12,600 Speaker 1: Given the amount of evidence that it looks like they're 1106 00:59:12,600 --> 00:59:14,720 Speaker 1: going to be able to Marshal, I think it's pretty 1107 00:59:14,800 --> 00:59:18,520 Speaker 1: unlikely that that is going to work. But there's a 1108 00:59:18,520 --> 00:59:21,080 Speaker 1: couple things that always come to mind. I mean, first, 1109 00:59:21,080 --> 00:59:23,480 Speaker 1: of all, why is this important. It's because of how 1110 00:59:23,800 --> 00:59:27,720 Speaker 1: they were able to operate for so long with all 1111 00:59:27,800 --> 00:59:32,160 Speaker 1: of these people in elite circles. Just even after he'd 1112 00:59:32,200 --> 00:59:35,240 Speaker 1: been convicted as a sex offender and is on the list, 1113 00:59:35,840 --> 00:59:38,440 Speaker 1: there's still you know, Bill Gates and Bill Clinton and 1114 00:59:38,520 --> 00:59:41,760 Speaker 1: Donald Trump and all of them happy to associate with him. 1115 00:59:41,800 --> 00:59:44,920 Speaker 1: That's the main story to me, one percent. And the 1116 00:59:45,000 --> 00:59:48,880 Speaker 1: other part of this is Glaine deserves to spend the 1117 00:59:48,880 --> 00:59:52,000 Speaker 1: rest of her life in prison based on the allegations 1118 00:59:52,040 --> 00:59:54,880 Speaker 1: that we know, But there were a lot of other 1119 00:59:54,920 --> 00:59:58,680 Speaker 1: people who were involved. Where are those charges? You know, 1120 00:59:58,760 --> 01:00:01,920 Speaker 1: where's going to be the accountability for all of the 1121 01:00:01,920 --> 01:00:06,160 Speaker 1: many people who were involved, either in the abuse or 1122 01:00:06,240 --> 01:00:09,440 Speaker 1: in facilitating this. There is one part of this that's 1123 01:00:09,440 --> 01:00:12,920 Speaker 1: a little bit funny, which is that QAnon, which is 1124 01:00:13,040 --> 01:00:16,720 Speaker 1: very interested in child sex trafficking, they've been very upset 1125 01:00:17,120 --> 01:00:20,120 Speaker 1: by the fact that Trump not only was did this 1126 01:00:20,240 --> 01:00:23,040 Speaker 1: accuser say, you know, she was brought to his tomorrow 1127 01:00:23,120 --> 01:00:26,640 Speaker 1: lago at fourteen, but also he that he was on 1128 01:00:26,680 --> 01:00:30,040 Speaker 1: the plane multiple times, which is against what you know 1129 01:00:30,080 --> 01:00:33,120 Speaker 1: had been said in the past. So QAnon is an 1130 01:00:33,160 --> 01:00:37,720 Speaker 1: overdrive trying to spin and defend Trump, because their whole 1131 01:00:37,720 --> 01:00:39,960 Speaker 1: thing is like, oh, there's this cabal of you know, 1132 01:00:40,040 --> 01:00:48,040 Speaker 1: criminal sex traffickers, but they're all Democrats. Yeah, I say, true. Yeah, 1133 01:00:48,440 --> 01:00:51,400 Speaker 1: So they're trying to spin in real time what's going 1134 01:00:51,440 --> 01:00:54,080 Speaker 1: on here apparently, which is kind of funny. It's it 1135 01:00:54,200 --> 01:00:57,360 Speaker 1: is interesting. I mean, my disappointment with this trial is 1136 01:00:57,440 --> 01:01:01,040 Speaker 1: always that, like I said, I don't understand why the 1137 01:01:01,120 --> 01:01:05,000 Speaker 1: DOJ is only prosecuting on these old crimes from ninety 1138 01:01:05,080 --> 01:01:07,560 Speaker 1: nine and two thousand and four. From what I have read, 1139 01:01:07,640 --> 01:01:11,000 Speaker 1: the concern is if they do it after he was 1140 01:01:11,040 --> 01:01:14,360 Speaker 1: accused and had that deal with federal prosecutors, there could 1141 01:01:14,400 --> 01:01:17,919 Speaker 1: be some not double jeopardy necessarily, but some stuff would 1142 01:01:17,960 --> 01:01:21,880 Speaker 1: come out about their own role in giving Epstein that 1143 01:01:21,920 --> 01:01:25,120 Speaker 1: sweetheart deal in the first place, deciding not to prosecute 1144 01:01:25,200 --> 01:01:27,600 Speaker 1: him federally turning him over to Palm Beach Prison. So 1145 01:01:27,640 --> 01:01:30,600 Speaker 1: that's why they brought what they considered to be rock 1146 01:01:30,640 --> 01:01:33,280 Speaker 1: solid charges from ninety nine and two thousand and four. 1147 01:01:33,520 --> 01:01:36,240 Speaker 1: The problem, like I said, is that the real juice, 1148 01:01:36,720 --> 01:01:40,480 Speaker 1: like so to speak, all happens after he gets accused 1149 01:01:40,520 --> 01:01:44,560 Speaker 1: of sending elite connections exactly. Well, that's when Apstein needed 1150 01:01:44,600 --> 01:01:46,360 Speaker 1: them more than ever. Right, that's when he was both 1151 01:01:46,360 --> 01:01:48,240 Speaker 1: a sexual and he was like, I need to launder 1152 01:01:48,280 --> 01:01:50,840 Speaker 1: my reputation. That's when he got involved with the MIT 1153 01:01:51,360 --> 01:01:54,440 Speaker 1: what was it, MIT School of Journal, Media Lab or 1154 01:01:54,480 --> 01:01:57,440 Speaker 1: whatever and enjoy ETO and he was giving him anonymous 1155 01:01:57,480 --> 01:02:00,560 Speaker 1: dollars and meeting with all these scientists. I've talked with 1156 01:02:00,800 --> 01:02:03,960 Speaker 1: Lex Friedman before, and Lex Freeman actually knows scientists who 1157 01:02:04,040 --> 01:02:06,400 Speaker 1: met Epstein and they were like, oh, he's you know, 1158 01:02:06,440 --> 01:02:09,480 Speaker 1: purported to be very interested in their work, you know. 1159 01:02:09,480 --> 01:02:13,560 Speaker 1: I mean that is when the real machine kind of 1160 01:02:13,640 --> 01:02:16,720 Speaker 1: kicked into high gear, and when people like Bill Gates 1161 01:02:17,160 --> 01:02:21,160 Speaker 1: and them were willing to cast aside the known fact 1162 01:02:21,160 --> 01:02:24,560 Speaker 1: that he was a sex offender and associate with him 1163 01:02:24,560 --> 01:02:26,960 Speaker 1: anyway in many cases hang out with him like like 1164 01:02:27,000 --> 01:02:29,280 Speaker 1: we've been learning, yeah, from the past. So I mean 1165 01:02:29,280 --> 01:02:31,360 Speaker 1: in that Katie Kirk book, that's the era when she's 1166 01:02:31,440 --> 01:02:33,800 Speaker 1: being brought into these meeting which are clearly about getting 1167 01:02:33,800 --> 01:02:36,120 Speaker 1: connections with the press so that they're you know, he's 1168 01:02:36,160 --> 01:02:38,880 Speaker 1: a dinner positive coverage or no coverage at all at 1169 01:02:38,920 --> 01:02:41,160 Speaker 1: dinner was crazy because it was like Kay Kirk, George 1170 01:02:41,160 --> 01:02:44,560 Speaker 1: Stephanopolis and if you all at the Epstein mansion, you know, 1171 01:02:44,720 --> 01:02:48,479 Speaker 1: right there in downtown in New York City. And yeah, 1172 01:02:48,560 --> 01:02:51,120 Speaker 1: you consider that the fact that the Israeli Prime Minister 1173 01:02:51,280 --> 01:02:53,680 Speaker 1: just happened to, you know, stay there all the time, 1174 01:02:53,800 --> 01:02:57,080 Speaker 1: for I had no reason. Was he was at Epstein 1175 01:02:57,120 --> 01:03:00,480 Speaker 1: as an investor in his company, you know, his neighbor 1176 01:03:00,560 --> 01:03:03,280 Speaker 1: the neighbors saw him staying there all the time. And 1177 01:03:03,360 --> 01:03:06,000 Speaker 1: those are the parts where I am the most interested 1178 01:03:06,040 --> 01:03:07,960 Speaker 1: in it and where I think I hope that we'll 1179 01:03:08,040 --> 01:03:10,880 Speaker 1: learn a little bit more. But unfortunately, I mean, look, 1180 01:03:11,040 --> 01:03:14,200 Speaker 1: at the same time, can't erase the problems of the victims, 1181 01:03:14,760 --> 01:03:17,520 Speaker 1: but the international conspiracy and all that, not a lot 1182 01:03:17,520 --> 01:03:19,360 Speaker 1: of that is coming out of this trial, not so far. 1183 01:03:21,880 --> 01:03:24,000 Speaker 1: All right, Christal, what are you taking a look at? Well, guys, 1184 01:03:24,000 --> 01:03:27,200 Speaker 1: we've covered many fancy trophy items that the rich are 1185 01:03:27,240 --> 01:03:30,400 Speaker 1: bidding up to prices that are truly insane. There's the 1186 01:03:30,600 --> 01:03:34,320 Speaker 1: burgeoning market for fancy trees. Apparently the global elite have 1187 01:03:34,360 --> 01:03:37,920 Speaker 1: been engaged in wild bidding wars to buy particular trees 1188 01:03:37,960 --> 01:03:40,520 Speaker 1: that are deemed special that they then have transported to 1189 01:03:40,560 --> 01:03:42,560 Speaker 1: their homes at great cost, all to serve as some 1190 01:03:42,680 --> 01:03:46,120 Speaker 1: sort of living status symbol. There's the record breaking demand 1191 01:03:46,120 --> 01:03:49,000 Speaker 1: for art. Just this month, top auction houses, we're ready 1192 01:03:49,040 --> 01:03:52,200 Speaker 1: to auction off one point six billion dollars in art, 1193 01:03:52,560 --> 01:03:55,080 Speaker 1: with expectations that some pieces would go for as much 1194 01:03:55,160 --> 01:03:58,520 Speaker 1: as fifteen times they're asking price. Art is not only 1195 01:03:58,600 --> 01:04:00,560 Speaker 1: a top market for the uber rich, but also the 1196 01:04:00,600 --> 01:04:03,880 Speaker 1: criminally rich. Although I repeat myself, there is also the 1197 01:04:03,960 --> 01:04:07,720 Speaker 1: pandemic born yacht boom, leading to a multi year wait 1198 01:04:07,760 --> 01:04:10,400 Speaker 1: for new boats and a massive spike in prices there 1199 01:04:10,440 --> 01:04:13,720 Speaker 1: as well. Now, these yachts are actually meant not so 1200 01:04:13,840 --> 01:04:16,320 Speaker 1: much as sea going vessels, but as yet another way 1201 01:04:16,360 --> 01:04:20,600 Speaker 1: to ostentatiously display one's master of the universe status. According 1202 01:04:20,600 --> 01:04:24,040 Speaker 1: to yacht broker Trenton Carol, I know it sounds kind 1203 01:04:24,040 --> 01:04:26,840 Speaker 1: of crazy, but sixty percent of the people, seventy percent 1204 01:04:26,880 --> 01:04:29,120 Speaker 1: of the people may never take their boats down. They'll 1205 01:04:29,120 --> 01:04:31,040 Speaker 1: have friends on the dock and they'll have little get 1206 01:04:31,080 --> 01:04:33,840 Speaker 1: together as Hey come for wine fest Parker or Opus one, 1207 01:04:34,200 --> 01:04:36,320 Speaker 1: and I'll watch the sunset go down, and they'll sit 1208 01:04:36,360 --> 01:04:38,560 Speaker 1: around and brag about how great they are and how 1209 01:04:38,600 --> 01:04:41,000 Speaker 1: they're legends in their own mind. You know, I actually 1210 01:04:41,040 --> 01:04:43,600 Speaker 1: kind of appreciate the full contempt that this guy apparently 1211 01:04:43,640 --> 01:04:47,320 Speaker 1: has for his clientele. But the latest buying frenzy might 1212 01:04:47,360 --> 01:04:51,200 Speaker 1: be the dumbest and most disgusting yet big money investors 1213 01:04:51,280 --> 01:04:55,160 Speaker 1: are snapping up fake plots of digital land to the 1214 01:04:55,240 --> 01:04:59,480 Speaker 1: tune of millions of dollars. Is just as stupid, gross, 1215 01:04:59,520 --> 01:05:03,440 Speaker 1: and disto as it sounds. Here's the Wall Street Journal quote. 1216 01:05:03,960 --> 01:05:06,520 Speaker 1: The latest hot real estate market is not on the 1217 01:05:06,560 --> 01:05:09,640 Speaker 1: scenic coast or in balmy sun belt cities. It's in 1218 01:05:09,680 --> 01:05:13,280 Speaker 1: the metaverse, where gamers are flocking and digital property sales 1219 01:05:13,320 --> 01:05:17,280 Speaker 1: are setting new records. Now, for the uninitiated, the metaverse 1220 01:05:17,320 --> 01:05:20,200 Speaker 1: is basically a virtual reality space that you can access 1221 01:05:20,200 --> 01:05:22,720 Speaker 1: by putting on a clunky headset, which will most likely 1222 01:05:22,840 --> 01:05:25,920 Speaker 1: leave you sweaty and nasus after a few hours. Facebook 1223 01:05:26,040 --> 01:05:29,320 Speaker 1: is betting big on this digital alternate reality, even going 1224 01:05:29,360 --> 01:05:33,040 Speaker 1: so far as to rebrand Facebook as Meta. Here's a 1225 01:05:33,080 --> 01:05:39,480 Speaker 1: look at their rollout video. Imagine you put on your 1226 01:05:39,520 --> 01:05:42,760 Speaker 1: glasses or headset in your instantly in your home space, 1227 01:05:43,400 --> 01:05:46,320 Speaker 1: as parts of your physical home recreated virtually. It has 1228 01:05:46,640 --> 01:05:49,400 Speaker 1: things that are only possible virtually, and it has an 1229 01:05:49,480 --> 01:05:55,240 Speaker 1: incredibly inspiring view of whatever you find most beautiful. Hey 1230 01:05:55,600 --> 01:05:58,080 Speaker 1: are you coming? Yeah? You got to find someone awar 1231 01:06:04,680 --> 01:06:13,720 Speaker 1: all right, perfect. Oh hey Mark, Hey, what's going on? Whoa, 1232 01:06:13,760 --> 01:06:17,360 Speaker 1: we're floating in space? Huh? Who made this place? That's awesome? Right, 1233 01:06:17,680 --> 01:06:20,760 Speaker 1: it's from a crator I met in La. This place 1234 01:06:21,000 --> 01:06:25,280 Speaker 1: is amazing, boss that you of course it's me. You know, 1235 01:06:25,360 --> 01:06:27,200 Speaker 1: I had to be the robot. Man, I thought I 1236 01:06:27,320 --> 01:06:32,760 Speaker 1: was supposed to be the robot. Whoa, I knew you 1237 01:06:32,800 --> 01:06:39,120 Speaker 1: of bluffings. Wow, we could have a meeting that's even 1238 01:06:39,160 --> 01:06:43,280 Speaker 1: more awkward than zoom. That's amazing. So investment firm Tokens 1239 01:06:43,280 --> 01:06:45,320 Speaker 1: dot com they just made a record breaking two and 1240 01:06:45,320 --> 01:06:49,320 Speaker 1: a half million dollars for real estate in fashion district 1241 01:06:49,360 --> 01:06:53,120 Speaker 1: of a metaverse called decentral Lands. According to the company's 1242 01:06:53,160 --> 01:06:56,440 Speaker 1: CEO quote, we can create something that's the equivalent of 1243 01:06:56,480 --> 01:06:59,520 Speaker 1: a Rodeo Drive or Fifth Avenue where the Gucci's and 1244 01:06:59,560 --> 01:07:03,120 Speaker 1: Adidas will come because what this world really lacks is 1245 01:07:03,160 --> 01:07:06,680 Speaker 1: more luxury shopping experiences for the one percent. Weren't you 1246 01:07:06,760 --> 01:07:09,040 Speaker 1: just sitting there in your studio apartment with the heat 1247 01:07:09,080 --> 01:07:11,600 Speaker 1: turned down to save on gas prices, thinking that if 1248 01:07:11,600 --> 01:07:14,760 Speaker 1: the world just had another Rodeo Drive, then really everything 1249 01:07:14,800 --> 01:07:18,000 Speaker 1: would be perfect. Seriously, wrap your head around the fact 1250 01:07:18,000 --> 01:07:21,160 Speaker 1: that millions of people are homeless, are housing insecure, and permanent. 1251 01:07:21,160 --> 01:07:24,280 Speaker 1: Capital has millions to throw at real estate that is 1252 01:07:24,400 --> 01:07:28,400 Speaker 1: literally just pixels. Look, I'm not saying the metaverse won't 1253 01:07:28,520 --> 01:07:32,120 Speaker 1: catch on earning these early investors millions and millions. Actually, 1254 01:07:32,120 --> 01:07:35,120 Speaker 1: I'm more disturbed by the possibility that it could. The 1255 01:07:35,240 --> 01:07:37,640 Speaker 1: term metaverse it actually was coined in a nineteen ninety 1256 01:07:37,680 --> 01:07:40,800 Speaker 1: two sci fi novel called snow Crash, where people found 1257 01:07:40,880 --> 01:07:43,800 Speaker 1: refuge in a digital world because the real world was 1258 01:07:43,800 --> 01:07:47,760 Speaker 1: so hellish. Here SECNBC described the plot of that novel, said, 1259 01:07:47,800 --> 01:07:50,560 Speaker 1: in the early twenty first century, snow Crash imagines a 1260 01:07:50,560 --> 01:07:54,200 Speaker 1: bleak future. The global economy has collapsed and federal governments 1261 01:07:54,280 --> 01:07:56,280 Speaker 1: have lost most of their power to a handful of 1262 01:07:56,320 --> 01:08:00,080 Speaker 1: giant corporations. Sounds kind of familiar, guys. I guess the 1263 01:08:00,120 --> 01:08:02,760 Speaker 1: more billionaires ruin the world, the more billionaires stand to 1264 01:08:02,800 --> 01:08:06,280 Speaker 1: profit from our scot desire for escapism. But you know, 1265 01:08:06,480 --> 01:08:09,360 Speaker 1: it doesn't have to be dystopian. I can, in fact 1266 01:08:09,400 --> 01:08:12,880 Speaker 1: imagine some version of the metaverse that would in fact 1267 01:08:13,040 --> 01:08:16,400 Speaker 1: enrich our societies. Remember what it felt like to believe 1268 01:08:16,479 --> 01:08:19,080 Speaker 1: in the early promise of social media, Let's say, before 1269 01:08:19,160 --> 01:08:21,760 Speaker 1: and during the Arab spring. We were pitched on the 1270 01:08:21,800 --> 01:08:24,880 Speaker 1: idea that we could create these new connections, new communities, 1271 01:08:25,120 --> 01:08:27,479 Speaker 1: that we can engage with people anywhere who might share 1272 01:08:27,560 --> 01:08:31,080 Speaker 1: similar passions and interests, that we might flatten geography and 1273 01:08:31,160 --> 01:08:34,440 Speaker 1: overcome cultural differences in a way that heals our divides 1274 01:08:34,479 --> 01:08:38,639 Speaker 1: and soothes our sectarian souls. We might actually collectively achieve 1275 01:08:38,720 --> 01:08:41,679 Speaker 1: greater power to hold corrupt eletes and institutions to account. 1276 01:08:42,439 --> 01:08:45,360 Speaker 1: But along the way, we somehow lost the path to 1277 01:08:45,439 --> 01:08:48,519 Speaker 1: that promised land and instead ended up in a more 1278 01:08:48,520 --> 01:08:52,120 Speaker 1: hellish place than where we started. Now it all feels inevitable, 1279 01:08:52,120 --> 01:08:54,880 Speaker 1: but it actually wasn't. The problem is that we let 1280 01:08:54,960 --> 01:08:58,439 Speaker 1: market logic in a few tech billionaires run what should 1281 01:08:58,479 --> 01:09:01,599 Speaker 1: have been a public commons, So instead of collective power, 1282 01:09:01,920 --> 01:09:05,160 Speaker 1: we ended up with mass exploitation. While our experience of 1283 01:09:05,200 --> 01:09:07,799 Speaker 1: these products is whatever message we're sending out, our article, 1284 01:09:07,800 --> 01:09:10,519 Speaker 1: we're sharing, our video we're watching, the real point of 1285 01:09:10,560 --> 01:09:13,160 Speaker 1: the products is to profit by selling off every bit 1286 01:09:13,200 --> 01:09:16,120 Speaker 1: of data that they possibly can, And rather than operate 1287 01:09:16,160 --> 01:09:19,400 Speaker 1: as neutral spaces, they manipulate our emotions, They prey on 1288 01:09:19,439 --> 01:09:22,680 Speaker 1: our anxieties, They serve us content meant to enrage us, 1289 01:09:22,720 --> 01:09:26,759 Speaker 1: and silo us into warring factions. Increasingly, they also actively 1290 01:09:26,760 --> 01:09:29,600 Speaker 1: suppress any outside voices in favor of the sort of 1291 01:09:29,680 --> 01:09:33,639 Speaker 1: legacy media that won't scare off the advertisers. Now, could 1292 01:09:33,680 --> 01:09:37,360 Speaker 1: the metaverse actually be good? Sure? Is it going to be? 1293 01:09:37,960 --> 01:09:41,560 Speaker 1: Not a chance in hell. Instead, it's only going to 1294 01:09:41,640 --> 01:09:44,280 Speaker 1: lead to a few tech billionaires having control over yet 1295 01:09:44,320 --> 01:09:47,960 Speaker 1: another part of our lives. It will lead to unimaginable 1296 01:09:48,040 --> 01:09:50,720 Speaker 1: levels of surveillance when our tech overlords are able to 1297 01:09:50,760 --> 01:09:53,120 Speaker 1: track everything from when we leave to go to the bathroom, 1298 01:09:53,400 --> 01:09:55,760 Speaker 1: to when our eyes furtively glance at an ad for 1299 01:09:55,800 --> 01:09:58,400 Speaker 1: some new shit product that we absolutely do not need 1300 01:09:58,680 --> 01:10:01,360 Speaker 1: but will be persuaded that we might, and to the 1301 01:10:01,439 --> 01:10:05,080 Speaker 1: uber rich status contests escalating further into the digital world. 1302 01:10:05,560 --> 01:10:08,519 Speaker 1: It's trophy trees, mansions, priceless art and yachts used to 1303 01:10:08,520 --> 01:10:12,439 Speaker 1: host parties only with NFTs. In other words, rather than 1304 01:10:12,520 --> 01:10:14,400 Speaker 1: being an escape from the shitty world we live in, 1305 01:10:14,600 --> 01:10:17,720 Speaker 1: it will mirror and accelerate all of the current shittiness. 1306 01:10:18,120 --> 01:10:20,519 Speaker 1: The other possibility is that it will stay just as 1307 01:10:20,600 --> 01:10:24,680 Speaker 1: lame a Zuckerberg's presentation and completely and utterly fail. That 1308 01:10:25,080 --> 01:10:28,280 Speaker 1: is the best result we can possibly hope for. You know, 1309 01:10:28,720 --> 01:10:31,599 Speaker 1: there's all these questions, Oh, what it'll be like, et cetera. Look, 1310 01:10:32,000 --> 01:10:35,040 Speaker 1: these things are never ultimately an escape. No, there were 1311 01:10:35,160 --> 01:10:38,240 Speaker 1: reflection and if you want to hear my reaction to 1312 01:10:38,360 --> 01:10:44,360 Speaker 1: Crystal's monologue, become a premium subscriber today at breakingpoints dot Com. 1313 01:10:44,400 --> 01:10:46,400 Speaker 1: All right, Sager, what are you looking at? Well? Like 1314 01:10:46,439 --> 01:10:48,880 Speaker 1: it or not? Twitter is the place the elites are. 1315 01:10:49,000 --> 01:10:51,760 Speaker 1: Twitter's the place the conversation is set. It's where most 1316 01:10:51,840 --> 01:10:54,439 Speaker 1: journalists are twenty four hours a day. It is the 1317 01:10:54,479 --> 01:10:57,600 Speaker 1: place that news breaks, It is interpreted, it is observed, 1318 01:10:57,840 --> 01:11:01,320 Speaker 1: iterated on and more. It is spawned red social movements 1319 01:11:01,320 --> 01:11:05,080 Speaker 1: and many controversies, some real, some imagine. But that's life 1320 01:11:05,080 --> 01:11:08,040 Speaker 1: in the twenty first century in a relatively free society. 1321 01:11:08,120 --> 01:11:10,599 Speaker 1: On balance, we are one hundred percent better off having 1322 01:11:10,640 --> 01:11:13,919 Speaker 1: a platform and the ability to publish pretty much anything 1323 01:11:13,960 --> 01:11:17,479 Speaker 1: for public consumption because it goes around the corporate news 1324 01:11:17,680 --> 01:11:20,920 Speaker 1: media and the corporate news bosses. They know that. That's 1325 01:11:20,960 --> 01:11:23,400 Speaker 1: why over the last five years they have undertaken a 1326 01:11:23,439 --> 01:11:27,559 Speaker 1: concerted campaign to browbeat, capture, and persuade the people in 1327 01:11:27,640 --> 01:11:30,679 Speaker 1: charge of Twitter, Facebook and elsewhere that it's their job 1328 01:11:30,760 --> 01:11:33,960 Speaker 1: to censor and not just censor, but to censor exactly 1329 01:11:34,000 --> 01:11:37,400 Speaker 1: what the mainstream media tells them to. It's a win win. 1330 01:11:37,720 --> 01:11:41,280 Speaker 1: The corporate media keeps their monopoly on information. Social media 1331 01:11:41,320 --> 01:11:43,600 Speaker 1: companies they don't have to deal with bad headlines. The 1332 01:11:43,640 --> 01:11:46,920 Speaker 1: only problem is the rest of us suffer. Some could say, well, 1333 01:11:46,960 --> 01:11:49,760 Speaker 1: just don't use Twitter, but we can't. Our job here 1334 01:11:49,800 --> 01:11:52,800 Speaker 1: at breaking points is to surface and explain the most 1335 01:11:52,800 --> 01:11:55,280 Speaker 1: important news right now in the country to you. That 1336 01:11:55,400 --> 01:11:58,439 Speaker 1: requires us being where the news is, which is Twitter. 1337 01:11:58,600 --> 01:12:01,200 Speaker 1: Which is why the policies of Twitter, the new CEO 1338 01:12:01,320 --> 01:12:03,840 Speaker 1: and how they think it all matters a lot. It's 1339 01:12:03,880 --> 01:12:07,280 Speaker 1: why I'm greatly dismayed at the new choice of Parague Agarwah, who, 1340 01:12:07,320 --> 01:12:10,160 Speaker 1: on his very first day as CEO showed us why 1341 01:12:10,200 --> 01:12:13,320 Speaker 1: he should not have that job. Agarwall, for context, is 1342 01:12:13,320 --> 01:12:16,599 Speaker 1: the former chief technology officer of Twitter. By all accounts, 1343 01:12:16,600 --> 01:12:19,639 Speaker 1: he's a nerdy engineering type, which is fine. But here's 1344 01:12:19,680 --> 01:12:23,240 Speaker 1: the problem. Twitter does not have any engineering problems. Their 1345 01:12:23,280 --> 01:12:26,160 Speaker 1: problem is they need to figure out what the hell 1346 01:12:26,360 --> 01:12:28,920 Speaker 1: they are in the twenty first century. Are they free 1347 01:12:28,920 --> 01:12:31,320 Speaker 1: speech wing of the Free Speech Party as they once were? 1348 01:12:31,640 --> 01:12:33,840 Speaker 1: How will they deal with Trump when he runs again 1349 01:12:33,880 --> 01:12:37,559 Speaker 1: in twenty twenty four. What exactly does bullying and harassment mean? 1350 01:12:37,880 --> 01:12:41,439 Speaker 1: Does private power have the ability to esserpt public will? 1351 01:12:41,760 --> 01:12:46,800 Speaker 1: These are philosophical political questions. They not require ones and zeros. 1352 01:12:47,040 --> 01:12:49,760 Speaker 1: In my experience, the engineering types like this who don't 1353 01:12:49,760 --> 01:12:52,320 Speaker 1: have a clue are always the ones who are most 1354 01:12:52,400 --> 01:12:55,240 Speaker 1: easily pushed around by the woke mob because they have 1355 01:12:55,360 --> 01:13:00,040 Speaker 1: no grounding in critical thinking over big political questions. He 1356 01:13:00,160 --> 01:13:02,160 Speaker 1: knew this was going to be a problem, as Agarwah 1357 01:13:02,200 --> 01:13:05,640 Speaker 1: gave an interview exactly one year ago when he explicitly 1358 01:13:05,680 --> 01:13:08,240 Speaker 1: said it is not Twitter's job to be bound by 1359 01:13:08,240 --> 01:13:12,280 Speaker 1: the First Amendment. Then, instead he was focused on harm reduction, 1360 01:13:13,160 --> 01:13:16,720 Speaker 1: that is, social justice mindset already seeped in. Once that 1361 01:13:16,800 --> 01:13:19,080 Speaker 1: mind virus is inside you, it takes a lot to 1362 01:13:19,120 --> 01:13:22,240 Speaker 1: purge it, and sure enough, on Agarwall's very first day, 1363 01:13:22,560 --> 01:13:26,160 Speaker 1: he showed us why he has no business. Twitter announced 1364 01:13:26,200 --> 01:13:29,160 Speaker 1: that going forward, it would no longer allow the sharing 1365 01:13:29,200 --> 01:13:32,280 Speaker 1: of private media, such as images or videos of private 1366 01:13:32,280 --> 01:13:36,360 Speaker 1: individuals without their consent. Specifically, they say that this policy 1367 01:13:36,439 --> 01:13:39,920 Speaker 1: is to fight harassment or intimidation of private individuals, but 1368 01:13:39,960 --> 01:13:43,480 Speaker 1: they add an important caveat. They will take into consideration 1369 01:13:43,800 --> 01:13:46,920 Speaker 1: whether an image is publicly available and is being covered 1370 01:13:46,960 --> 01:13:50,000 Speaker 1: by journalists, or if a particular image adds value to 1371 01:13:50,040 --> 01:13:53,519 Speaker 1: public discourse and is in the public interest. Okay, there 1372 01:13:53,520 --> 01:13:57,040 Speaker 1: it is. Consider how dystopian. That is, some images of 1373 01:13:57,080 --> 01:14:00,000 Speaker 1: private individuals will be allowed, but Twitter will decide if 1374 01:14:00,000 --> 01:14:02,640 Speaker 1: they are in the public interest or not. Look, I 1375 01:14:02,680 --> 01:14:05,320 Speaker 1: actually get the impetus behind his policy. Do I enjoy 1376 01:14:05,360 --> 01:14:08,040 Speaker 1: these videos that people take of people in public and 1377 01:14:08,040 --> 01:14:10,479 Speaker 1: then post them online? No? I don't. I actually think 1378 01:14:10,479 --> 01:14:13,880 Speaker 1: they're terrible. But consider the edge cases. What about George 1379 01:14:13,880 --> 01:14:17,240 Speaker 1: Floyd's death, videos from the scene of Kyle Rittenhouse, Filando 1380 01:14:17,320 --> 01:14:20,760 Speaker 1: Castile's murder, Amy Cooper wanting to call the cops? Which 1381 01:14:20,760 --> 01:14:22,720 Speaker 1: one of those is in the public interest. I'm going 1382 01:14:22,760 --> 01:14:25,080 Speaker 1: to err on the side of all of them, and 1383 01:14:25,120 --> 01:14:27,160 Speaker 1: I for damn sure don't want the woke mob at 1384 01:14:27,160 --> 01:14:30,760 Speaker 1: Twitter deciding which one stays up and which one stays down. 1385 01:14:31,040 --> 01:14:33,880 Speaker 1: It is clear nobody at Twitter even thought about this. 1386 01:14:34,240 --> 01:14:37,559 Speaker 1: Their language for justifying this is that harassment is usually 1387 01:14:37,560 --> 01:14:40,800 Speaker 1: against is usually used against activists, which is actually kind 1388 01:14:40,800 --> 01:14:43,559 Speaker 1: of hilarious because we know that the annoying woke activists 1389 01:14:43,600 --> 01:14:46,200 Speaker 1: are the kings and the queens of filming themselves being 1390 01:14:46,240 --> 01:14:49,120 Speaker 1: obnoxious and making a scene in public. But look, it's 1391 01:14:49,120 --> 01:14:51,920 Speaker 1: a free country. They should be allowed to just as 1392 01:14:52,000 --> 01:14:54,639 Speaker 1: it should be allowed to do so for someone filming them. 1393 01:14:54,880 --> 01:14:57,000 Speaker 1: That's the point. When you leave all this up to 1394 01:14:57,040 --> 01:14:59,360 Speaker 1: the discretion of a bunch of people who have shown 1395 01:14:59,439 --> 01:15:02,680 Speaker 1: us before with the Hunter Biden laptop story, that they 1396 01:15:02,680 --> 01:15:05,839 Speaker 1: can't be trusted and will be partisan in their enforcement 1397 01:15:06,120 --> 01:15:09,960 Speaker 1: over legitimate journalism, we have to say screw you. It 1398 01:15:10,040 --> 01:15:12,880 Speaker 1: is why it is so dangerous that agar Wah has 1399 01:15:12,880 --> 01:15:15,280 Speaker 1: already said he has no binding to the First Amendment, 1400 01:15:15,560 --> 01:15:18,320 Speaker 1: even its spirit, that all he cares about is quote 1401 01:15:18,360 --> 01:15:22,160 Speaker 1: harm reduction. Remember what every grade school kid is taught, 1402 01:15:22,360 --> 01:15:24,960 Speaker 1: the road to hell is paved with good intentions. Now, 1403 01:15:24,960 --> 01:15:27,040 Speaker 1: maybe you guys think I'm making too much about this, 1404 01:15:27,360 --> 01:15:30,080 Speaker 1: but remember the Arab Spring was literally launched after a 1405 01:15:30,080 --> 01:15:33,360 Speaker 1: man's self immolated and images went viral on Twitter. The 1406 01:15:33,520 --> 01:15:37,520 Speaker 1: last power of a dissident in an increasingly unfree society 1407 01:15:37,840 --> 01:15:41,280 Speaker 1: is the ability to go around the center of power. 1408 01:15:41,600 --> 01:15:44,599 Speaker 1: That's why the Internet, at its most promising, was supposed 1409 01:15:44,600 --> 01:15:47,080 Speaker 1: to be and it's been taken away from us one 1410 01:15:47,120 --> 01:15:49,280 Speaker 1: by one. I'm singingly on Twitter, but it's been a 1411 01:15:49,320 --> 01:15:51,439 Speaker 1: long and dark road here. A friend of mine actually 1412 01:15:51,479 --> 01:15:53,879 Speaker 1: pointed out the point of having principle in the standard 1413 01:15:54,120 --> 01:15:55,679 Speaker 1: is to make it so that it's easier to deal 1414 01:15:55,680 --> 01:15:59,080 Speaker 1: with edge cases and really dark stuff. Consider Holocaust denile, 1415 01:15:59,120 --> 01:16:01,880 Speaker 1: which of course is pugnant. Well, it was held up 1416 01:16:01,880 --> 01:16:05,280 Speaker 1: by Mark Zuckerberg for years as something that embodied free 1417 01:16:05,320 --> 01:16:07,480 Speaker 1: speech that he was going to allow on the platform, 1418 01:16:07,560 --> 01:16:10,240 Speaker 1: and he would not get involved, And in October twenty twenty, 1419 01:16:10,320 --> 01:16:14,120 Speaker 1: poof oops, he just reversed it himself, despite bragging about 1420 01:16:14,160 --> 01:16:17,519 Speaker 1: it three years earlier. The moment you retreat from a 1421 01:16:17,560 --> 01:16:21,400 Speaker 1: standard of the First Amendment, you allow more exceptions woke 1422 01:16:21,439 --> 01:16:24,479 Speaker 1: and unwoke to creep in. The more censorship that you invite. 1423 01:16:24,479 --> 01:16:27,280 Speaker 1: In the long run, they will never stop at just one. 1424 01:16:27,600 --> 01:16:30,320 Speaker 1: It's why our laws are written the way that they are, 1425 01:16:30,560 --> 01:16:32,720 Speaker 1: and it's why the prevalence of this mindset at the 1426 01:16:32,800 --> 01:16:35,759 Speaker 1: very top of these companies, combined with people who really 1427 01:16:35,760 --> 01:16:38,920 Speaker 1: haven't thought very hard about what their technology means in 1428 01:16:38,960 --> 01:16:42,080 Speaker 1: a free and open society, is a road to disaster. 1429 01:16:42,479 --> 01:16:44,640 Speaker 1: I've never been more convinced than i am today that 1430 01:16:44,680 --> 01:16:46,920 Speaker 1: were on the precipice of probably one of the worst 1431 01:16:46,920 --> 01:16:49,800 Speaker 1: times in American politics. You might have thought that Trump 1432 01:16:49,920 --> 01:16:52,639 Speaker 1: leaving the stage made things calmer. I think his return, 1433 01:16:52,920 --> 01:16:56,240 Speaker 1: or whatever successor will be, will only accelerate things towards 1434 01:16:56,280 --> 01:16:59,960 Speaker 1: even more dystopian levels of censorship, freakouts, and social movements. 1435 01:17:00,240 --> 01:17:02,640 Speaker 1: It will have long lasting consequences and we will be 1436 01:17:02,720 --> 01:17:05,200 Speaker 1: less free than ever as a result. You said this 1437 01:17:05,240 --> 01:17:07,640 Speaker 1: actually after January sixth, Crystal, he said, we can be 1438 01:17:07,840 --> 01:17:10,599 Speaker 1: a free society or we can be a police And 1439 01:17:10,680 --> 01:17:13,400 Speaker 1: if you want to hear my reaction to Sagre's monologue, 1440 01:17:13,439 --> 01:17:19,160 Speaker 1: become a premium subscriber today at breakingpoints dot com. Joining 1441 01:17:19,200 --> 01:17:22,000 Speaker 1: us now we have Amory Gatton. He is a researcher 1442 01:17:22,000 --> 01:17:24,559 Speaker 1: who has been doing incredible work. He's a visiting fellow 1443 01:17:24,560 --> 01:17:27,720 Speaker 1: at Harvard and also co founder of World Political Cleavages 1444 01:17:27,800 --> 01:17:30,880 Speaker 1: and Inequality Data Based. Great to see you, Amory, Thank 1445 01:17:30,920 --> 01:17:33,800 Speaker 1: you for joining us. Good to see you man. Thank you. 1446 01:17:35,040 --> 01:17:37,559 Speaker 1: Of course, So we've been following the work you've been 1447 01:17:37,560 --> 01:17:40,519 Speaker 1: doing really closely. Some of you out there may have 1448 01:17:40,600 --> 01:17:43,639 Speaker 1: been as well. You guys have been digging into these 1449 01:17:43,880 --> 01:17:47,519 Speaker 1: education and income divides that we've seen here in America, 1450 01:17:47,600 --> 01:17:50,920 Speaker 1: but you're also seeing in a lot of countries in 1451 01:17:51,080 --> 01:17:55,920 Speaker 1: developed world democracies where effectively people who are high income 1452 01:17:56,080 --> 01:17:59,360 Speaker 1: are still voting a lot of times for right leaning parties, 1453 01:17:59,720 --> 01:18:03,960 Speaker 1: but people who are high education are now oftentimes voting 1454 01:18:04,040 --> 01:18:07,120 Speaker 1: for left leaning parties. We can throw the latest paper 1455 01:18:07,160 --> 01:18:09,479 Speaker 1: that you all just published up there on the screen. 1456 01:18:09,840 --> 01:18:13,799 Speaker 1: The title here is Brahman Left versus Merchant Right, Changing 1457 01:18:13,840 --> 01:18:18,160 Speaker 1: political cleavages in twenty one Western democracies between nineteen forty 1458 01:18:18,200 --> 01:18:21,479 Speaker 1: eight and twenty twenty. The dynamic that you point to 1459 01:18:21,720 --> 01:18:24,200 Speaker 1: is basically, you know, both sides of the political spectrum 1460 01:18:24,200 --> 01:18:27,800 Speaker 1: being controlled by different sets of elites and people with 1461 01:18:27,920 --> 01:18:32,479 Speaker 1: lower educational levels concentrating more and more on the right 1462 01:18:32,520 --> 01:18:35,000 Speaker 1: side of the political spectrum. Just dig into some of 1463 01:18:35,040 --> 01:18:41,200 Speaker 1: the data and what you found. Yes, absolutely so. The 1464 01:18:41,280 --> 01:18:44,799 Speaker 1: idea of this paper, and more generally of this project 1465 01:18:44,800 --> 01:18:49,240 Speaker 1: that we have which has become a book project, was 1466 01:18:49,280 --> 01:18:54,679 Speaker 1: to understand how voting behavior by education, income, but also 1467 01:18:54,720 --> 01:18:58,160 Speaker 1: by religion, age has changed over the long run, and 1468 01:18:58,320 --> 01:19:01,160 Speaker 1: put simply in Western democra is, what we find is 1469 01:19:01,200 --> 01:19:04,400 Speaker 1: that there has been a striking divergence between these two 1470 01:19:04,439 --> 01:19:08,400 Speaker 1: dimensions of inequality that are education and income in the 1471 01:19:08,479 --> 01:19:12,720 Speaker 1: nineteen fifties and sixties, social democratic and affiliated parties, so 1472 01:19:12,840 --> 01:19:15,519 Speaker 1: including the Democratic Party in the US, used to be 1473 01:19:15,600 --> 01:19:20,080 Speaker 1: supported very strongly by low income and lower educated voters, 1474 01:19:20,320 --> 01:19:24,080 Speaker 1: while conservative parties used to gather more support from high 1475 01:19:24,120 --> 01:19:27,759 Speaker 1: income and higher educated voters. And in the past fifty 1476 01:19:27,840 --> 01:19:32,679 Speaker 1: sixty years, while income does continue to determine high support 1477 01:19:32,760 --> 01:19:36,559 Speaker 1: for white wing parties in general, Meanwhile, the effect of 1478 01:19:36,680 --> 01:19:41,200 Speaker 1: education has completely reversed. The educational divide has for the 1479 01:19:41,240 --> 01:19:46,680 Speaker 1: striking reversal, and today higher educated voters are much more 1480 01:19:46,760 --> 01:19:49,080 Speaker 1: likely to vote for the left. And so this leads 1481 01:19:49,080 --> 01:19:51,479 Speaker 1: to a separation between what we propose to call a 1482 01:19:51,560 --> 01:19:55,160 Speaker 1: brimming left, a sort of intellectual, elite educated left, and 1483 01:19:55,360 --> 01:20:00,679 Speaker 1: a sort of still high income merchant right. And so, Amory, 1484 01:20:00,720 --> 01:20:03,000 Speaker 1: can we let's go ahead and put your tweet up 1485 01:20:03,000 --> 01:20:05,880 Speaker 1: there on the screen. I want to see that chart 1486 01:20:05,920 --> 01:20:09,400 Speaker 1: because it's very important for where exactly the change happened. 1487 01:20:09,400 --> 01:20:12,959 Speaker 1: Can you explain why the percentage points of the difference 1488 01:20:13,320 --> 01:20:15,599 Speaker 1: of the percent of the top ten percent and educated 1489 01:20:15,640 --> 01:20:18,400 Speaker 1: voting left and the percent of the bottom ninety percent 1490 01:20:18,760 --> 01:20:22,160 Speaker 1: switched in nineteen ninety one to nineteen ninety five. What 1491 01:20:22,360 --> 01:20:28,639 Speaker 1: exactly happened there across all of the West. I think 1492 01:20:28,680 --> 01:20:33,200 Speaker 1: this chart shows not that something specific happened in the 1493 01:20:33,200 --> 01:20:36,040 Speaker 1: eighties or nineties, but it shows precisely that this has 1494 01:20:36,080 --> 01:20:39,479 Speaker 1: been a very long run gradual process. So as you 1495 01:20:39,520 --> 01:20:43,360 Speaker 1: can see from the red line, for instance, the gap 1496 01:20:43,520 --> 01:20:46,479 Speaker 1: in left votes between higher and lower educated voters used 1497 01:20:46,479 --> 01:20:49,559 Speaker 1: to be minus sixteen and so, which means that lower 1498 01:20:49,640 --> 01:20:51,920 Speaker 1: educated voters were more likely to vote for left wing 1499 01:20:51,960 --> 01:20:55,479 Speaker 1: parties by sixteen percentage points. And this has been very 1500 01:20:55,560 --> 01:20:59,479 Speaker 1: gradually become less and less negative, and then in turn 1501 01:20:59,560 --> 01:21:02,160 Speaker 1: to it ive in the two thousands. But it's really 1502 01:21:02,439 --> 01:21:05,800 Speaker 1: the outcome of a long run gradual process. And there 1503 01:21:05,800 --> 01:21:10,000 Speaker 1: are variations across countries in the intensity of this reversal, 1504 01:21:10,080 --> 01:21:14,559 Speaker 1: but also on the level of the educational divide today, 1505 01:21:15,080 --> 01:21:18,160 Speaker 1: depending on how strong were class divides in the fifties, 1506 01:21:18,200 --> 01:21:22,639 Speaker 1: for instance, in Nordic countries such as Sweden, where class 1507 01:21:22,640 --> 01:21:25,759 Speaker 1: device used to be very very strong. While this reversal 1508 01:21:25,800 --> 01:21:31,160 Speaker 1: does not seem to have completely happened today, it may 1509 01:21:31,360 --> 01:21:36,080 Speaker 1: happen in the coming elections or decades. While in countries 1510 01:21:36,240 --> 01:21:40,400 Speaker 1: for instance like the Netherlands, were started to some extent earlier, 1511 01:21:40,439 --> 01:21:43,519 Speaker 1: while it's been now a few decades that higher educated 1512 01:21:43,600 --> 01:21:46,920 Speaker 1: voters vote more for social democratic and affiliated parties. So 1513 01:21:46,920 --> 01:21:50,080 Speaker 1: this still really about a very gradual, long run process 1514 01:21:50,320 --> 01:21:54,519 Speaker 1: which I think goes beyond specific contextual factors or our 1515 01:21:54,600 --> 01:21:59,360 Speaker 1: crises or any specific event. Let's talk about the exceptions, 1516 01:21:59,400 --> 01:22:02,599 Speaker 1: because there are couple of exceptions that stand out among 1517 01:22:02,720 --> 01:22:06,800 Speaker 1: all of these Western democracies that haven't followed the same 1518 01:22:06,880 --> 01:22:09,920 Speaker 1: trends and effectively, just to make this simple for people, 1519 01:22:10,160 --> 01:22:12,320 Speaker 1: what you're pointing to here is a collapse of any 1520 01:22:12,360 --> 01:22:15,800 Speaker 1: sort of class politics. Right, you have two sides of 1521 01:22:15,800 --> 01:22:20,559 Speaker 1: political spectrum effectively dominated by elites. Working class voters at 1522 01:22:20,640 --> 01:22:23,920 Speaker 1: least in the US kind of spread across both of 1523 01:22:23,920 --> 01:22:26,400 Speaker 1: the parties. So control of the parties effectively is happening 1524 01:22:26,400 --> 01:22:28,120 Speaker 1: at the elite level, and you have very little in 1525 01:22:28,200 --> 01:22:30,880 Speaker 1: terms of class politics, which ultimately leads to very little 1526 01:22:30,920 --> 01:22:34,320 Speaker 1: if you're interested in policies that lead to economic redistribution. 1527 01:22:34,680 --> 01:22:37,000 Speaker 1: But there are a couple of countries that have bucked 1528 01:22:37,040 --> 01:22:40,439 Speaker 1: the trend. Tell us what those countries are and why 1529 01:22:40,600 --> 01:22:44,400 Speaker 1: you think that they've not gone in the same direction 1530 01:22:44,479 --> 01:22:49,439 Speaker 1: as the less the rest of the Western democracies. So 1531 01:22:49,439 --> 01:22:51,880 Speaker 1: there are two main countries that we identify as not 1532 01:22:52,000 --> 01:22:55,639 Speaker 1: following this trend worthly speaking, and these are Portugal and Ireland. 1533 01:22:56,680 --> 01:23:00,519 Speaker 1: These two countries have quite specific histories. I mean, Portugal 1534 01:23:00,600 --> 01:23:06,479 Speaker 1: democracy only came back in the nineteen eighties, and Ireland 1535 01:23:06,479 --> 01:23:09,160 Speaker 1: also has quite a specific history because it never really 1536 01:23:09,280 --> 01:23:13,040 Speaker 1: had any strong social democratic party or any kind of 1537 01:23:13,120 --> 01:23:16,719 Speaker 1: strong left wing party at all. But in Ireland, since 1538 01:23:16,800 --> 01:23:19,559 Speaker 1: the two thousand and eight crisis, in particular, there's been 1539 01:23:19,920 --> 01:23:23,720 Speaker 1: the rise of Shinfein, which is considered to be more 1540 01:23:23,800 --> 01:23:28,360 Speaker 1: social democratic and left wing. And in Portugal, especially since 1541 01:23:28,400 --> 01:23:30,920 Speaker 1: the crisis, too, there's been a sort of rise of 1542 01:23:31,000 --> 01:23:36,320 Speaker 1: socio economic divide and redistribution, and economic issues continue to 1543 01:23:36,360 --> 01:23:39,639 Speaker 1: play a very important role in comparison to other countries 1544 01:23:39,680 --> 01:23:42,439 Speaker 1: in the West. So in these two countries we do 1545 01:23:42,560 --> 01:23:46,720 Speaker 1: observe the persistence of socioeconomy divides and the persistence or 1546 01:23:46,720 --> 01:23:50,800 Speaker 1: even rise to some extent, class divides. Today. On the 1547 01:23:50,840 --> 01:23:54,840 Speaker 1: fact that class politics have disappeared or declined, I think 1548 01:23:54,840 --> 01:23:57,120 Speaker 1: we should nance this a bit too. It's not so 1549 01:23:57,200 --> 01:23:59,680 Speaker 1: much that they have disappeared, this is that they have complexified. 1550 01:23:59,680 --> 01:24:02,960 Speaker 1: Tree men sleep when we say that higher educated voters 1551 01:24:03,040 --> 01:24:06,120 Speaker 1: vote for different parties than high income voters. Education and 1552 01:24:06,120 --> 01:24:10,320 Speaker 1: income tottend two dimensions of social class, and what we 1553 01:24:10,360 --> 01:24:16,200 Speaker 1: observe in many in many Western European countries today where 1554 01:24:16,560 --> 01:24:20,120 Speaker 1: the party system is increasingly fragmented, is a sort of 1555 01:24:20,600 --> 01:24:25,720 Speaker 1: split between voters depending on education and income. Typically, far 1556 01:24:25,800 --> 01:24:28,839 Speaker 1: right parties tend to capture more votes from low educated voters, 1557 01:24:28,840 --> 01:24:31,879 Speaker 1: but not necessarily from low income or high income voters, 1558 01:24:32,240 --> 01:24:35,240 Speaker 1: while green parties tend to be supported mainly by higher 1559 01:24:35,320 --> 01:24:38,880 Speaker 1: educated voters to some extent independently from income. And so 1560 01:24:38,960 --> 01:24:41,679 Speaker 1: we have this fragmentation of the political space which leads 1561 01:24:41,760 --> 01:24:44,960 Speaker 1: to a sort of class tering of parties depending on 1562 01:24:45,000 --> 01:24:47,759 Speaker 1: these two dimensions of class, which are education and income. 1563 01:24:48,439 --> 01:24:51,000 Speaker 1: So a Marie, let me ask you this, which countries 1564 01:24:51,040 --> 01:24:54,400 Speaker 1: are the leading indicators. There's a common phenomenon in your 1565 01:24:54,400 --> 01:24:56,960 Speaker 1: home country in France, in order to say we want 1566 01:24:56,960 --> 01:25:01,960 Speaker 1: to stop the exportation of Western style controversy, wokeism and 1567 01:25:02,000 --> 01:25:06,040 Speaker 1: all that to our country and those types of political phenomena. 1568 01:25:06,120 --> 01:25:08,800 Speaker 1: So you look at Western democracies as a whole. Is 1569 01:25:08,880 --> 01:25:11,599 Speaker 1: the United States the place where this happens and then 1570 01:25:11,640 --> 01:25:14,240 Speaker 1: it's exported out to the rest of the West, or 1571 01:25:14,400 --> 01:25:19,599 Speaker 1: is it a different, more interesting picture happening. No, I 1572 01:25:19,600 --> 01:25:24,759 Speaker 1: don't think the US is the leading example. This trend 1573 01:25:24,840 --> 01:25:29,280 Speaker 1: really happens in almost all Western democracies, and what distinguishes 1574 01:25:29,360 --> 01:25:32,680 Speaker 1: the most is perhaps where they started from. As I 1575 01:25:32,720 --> 01:25:36,120 Speaker 1: mentioned before, Sweden was very very strongly class based in 1576 01:25:36,120 --> 01:25:39,120 Speaker 1: the fifties, for instance, which means that this process has 1577 01:25:39,120 --> 01:25:45,920 Speaker 1: not completely been done today. I'd say that the country 1578 01:25:46,000 --> 01:25:51,320 Speaker 1: which were the two countries that perhaps were the earliest 1579 01:25:51,840 --> 01:25:56,280 Speaker 1: in finishing this tradition are Switzerland and the Netherlands. Switzerland 1580 01:25:56,320 --> 01:26:01,439 Speaker 1: today is really in Europe the country where educational divines 1581 01:26:01,439 --> 01:26:04,599 Speaker 1: are the highest, and this is directly linked to the 1582 01:26:04,600 --> 01:26:09,400 Speaker 1: fact that Switzerland has the largest far right party anti 1583 01:26:09,439 --> 01:26:12,920 Speaker 1: immigration party in Europe, and it also has to some 1584 01:26:13,000 --> 01:26:17,479 Speaker 1: extent the biggest green environmentalist block in Europe. So this 1585 01:26:17,560 --> 01:26:21,280 Speaker 1: is kind of sociocultural divines. This cultural dimension of political 1586 01:26:21,320 --> 01:26:26,360 Speaker 1: conflict plays a particularly salient role in Switzerland. The US is, 1587 01:26:27,200 --> 01:26:29,639 Speaker 1: i'd say, to one of the countries where it does 1588 01:26:30,120 --> 01:26:32,559 Speaker 1: and where it is the highest today among the West. 1589 01:26:34,760 --> 01:26:38,480 Speaker 1: Is it fair to say that the more a country 1590 01:26:38,800 --> 01:26:42,040 Speaker 1: focuses on what we'll call sort of culture war clashes, 1591 01:26:42,920 --> 01:26:47,519 Speaker 1: the more rapidly you see this sorting out, Because that 1592 01:26:47,560 --> 01:26:49,920 Speaker 1: seems to be one of the things you indicate in 1593 01:26:49,960 --> 01:26:53,800 Speaker 1: your research is that as these culture war issues take 1594 01:26:53,880 --> 01:26:57,799 Speaker 1: more and more prominence and become the more salient dividing 1595 01:26:57,840 --> 01:27:01,719 Speaker 1: lines between the sides of the spectrum, that's where you see, 1596 01:27:02,160 --> 01:27:05,040 Speaker 1: you know, the fragmentation of the class based politics. That's 1597 01:27:05,040 --> 01:27:08,599 Speaker 1: where you see economic redistribution become less and less likely 1598 01:27:08,640 --> 01:27:11,840 Speaker 1: in economics really to be not so much the focus 1599 01:27:11,880 --> 01:27:14,320 Speaker 1: of the political battles that are being waged. That's something 1600 01:27:14,400 --> 01:27:17,559 Speaker 1: certainly our audience would would grasp and understand based on 1601 01:27:17,560 --> 01:27:19,680 Speaker 1: what we've seen here in the US. Is that a 1602 01:27:19,760 --> 01:27:21,559 Speaker 1: trend that you know, first of all, is that when 1603 01:27:21,560 --> 01:27:23,439 Speaker 1: you found and second of all, does that apply to 1604 01:27:23,479 --> 01:27:28,720 Speaker 1: a lot of countries across the world. So I'd say yes. 1605 01:27:28,800 --> 01:27:32,439 Speaker 1: So what we show in this article is that when 1606 01:27:32,439 --> 01:27:34,439 Speaker 1: you look at what parties proposed and the kinds of 1607 01:27:34,560 --> 01:27:39,400 Speaker 1: issues that they emphasize, well, social cultural issue emphasis is 1608 01:27:39,439 --> 01:27:44,120 Speaker 1: strongly linked to support for this party in terms of education. 1609 01:27:45,880 --> 01:27:49,120 Speaker 1: Put simplerly, it means that it means that when parties 1610 01:27:49,200 --> 01:27:53,520 Speaker 1: starts dividing much more on social cultural issues, then educational 1611 01:27:53,560 --> 01:27:57,240 Speaker 1: divides are likely to rise. At the same time, I 1612 01:27:57,240 --> 01:28:01,240 Speaker 1: think it's important to newance and to remember that the 1613 01:28:01,320 --> 01:28:06,000 Speaker 1: rise of these issues is perhaps not deterministic and is 1614 01:28:06,120 --> 01:28:10,519 Speaker 1: also linked to the decline of the class politics of 1615 01:28:10,560 --> 01:28:14,400 Speaker 1: the fifties and sixties, and so the decline of ambitious 1616 01:28:14,439 --> 01:28:18,679 Speaker 1: proposals or so in terms of redistributive economic policies, and 1617 01:28:18,840 --> 01:28:22,519 Speaker 1: the loss of confidence that many working class voters had 1618 01:28:22,680 --> 01:28:25,880 Speaker 1: in the fifties and sixties for social democratic parties. The 1619 01:28:25,920 --> 01:28:29,720 Speaker 1: decline confidence for these parties has arguably contributed to the 1620 01:28:29,800 --> 01:28:34,439 Speaker 1: rise of this new dimension of political conflict. Wow. And finally, 1621 01:28:34,560 --> 01:28:37,000 Speaker 1: this may be you may not want to speculate on this, 1622 01:28:37,200 --> 01:28:39,759 Speaker 1: but it seems like these trends really begin in the sixties. 1623 01:28:39,800 --> 01:28:42,400 Speaker 1: And of course the sixties in America and you know, 1624 01:28:42,439 --> 01:28:44,920 Speaker 1: a lot of places very tumultuous, you know, a lot 1625 01:28:44,960 --> 01:28:48,680 Speaker 1: of emphasis on you know, shaking free the cultures of 1626 01:28:48,680 --> 01:28:51,120 Speaker 1: the past moving in a different direction. I mean, is 1627 01:28:51,160 --> 01:28:54,120 Speaker 1: it an accident. Do you think that this starts and 1628 01:28:54,200 --> 01:28:59,960 Speaker 1: continues from the sixties? Yes? Or no? I mean, are 1629 01:29:00,120 --> 01:29:03,600 Speaker 1: you'll be the sixties played a catalyzing role in accelerating 1630 01:29:03,600 --> 01:29:06,320 Speaker 1: this transition, just like I think that the collapse of 1631 01:29:06,360 --> 01:29:09,160 Speaker 1: the Soviet Union in the nineties played the role in 1632 01:29:09,240 --> 01:29:12,920 Speaker 1: accelerating this transition, perhaps the two thousand and eight crisis, 1633 01:29:13,040 --> 01:29:18,360 Speaker 1: or globalization, all these various factors I think played the 1634 01:29:18,479 --> 01:29:22,240 Speaker 1: role in this transition. But the few countries where we 1635 01:29:22,280 --> 01:29:25,320 Speaker 1: have data even before the sixties seem to show a 1636 01:29:25,360 --> 01:29:29,200 Speaker 1: trend towards reversal of educational divides that starts earlier than 1637 01:29:29,240 --> 01:29:34,120 Speaker 1: the sixties. So I do think it's a longer run 1638 01:29:34,200 --> 01:29:39,040 Speaker 1: process that also goes beyond these specific movements, these specific 1639 01:29:39,479 --> 01:29:42,920 Speaker 1: turning points, which are important, But I think our only 1640 01:29:42,960 --> 01:29:46,880 Speaker 1: part of the story got it fascinating stuff. I know 1641 01:29:46,920 --> 01:29:49,360 Speaker 1: you're working on a book also that is set to 1642 01:29:49,360 --> 01:29:51,800 Speaker 1: come out here shortly or excited to take a look 1643 01:29:51,800 --> 01:29:53,600 Speaker 1: at that as well. Amory again, and thank you so 1644 01:29:53,640 --> 01:29:55,320 Speaker 1: much for joining us and bringing us all down for us. 1645 01:29:55,360 --> 01:29:57,000 Speaker 1: Thanks you, Amory. We'll I have linked to all the 1646 01:29:57,040 --> 01:29:59,240 Speaker 1: stuff in the description. Really appreciate you joining us. Man. 1647 01:30:00,320 --> 01:30:03,640 Speaker 1: Thank you very much, Jacky, thank you guys so much 1648 01:30:03,640 --> 01:30:06,840 Speaker 1: for watching. It's been amazing to This is our official 1649 01:30:07,120 --> 01:30:09,880 Speaker 1: six months since we started Crystal. Can you believe it? 1650 01:30:10,120 --> 01:30:14,960 Speaker 1: I actually can't. It's completely totally wild, kind of like forever, 1651 01:30:15,080 --> 01:30:17,160 Speaker 1: and also kind of like it happened in an instant. 1652 01:30:17,280 --> 01:30:20,559 Speaker 1: I swear we were designing this desk just yesterirdas. But 1653 01:30:21,040 --> 01:30:23,400 Speaker 1: look at this baby is growing up. It's held up 1654 01:30:23,479 --> 01:30:26,559 Speaker 1: pretty well, not a lot of scratches. We got these 1655 01:30:26,680 --> 01:30:29,680 Speaker 1: nice pads and everything. In all seriousness, you guys have 1656 01:30:29,720 --> 01:30:33,120 Speaker 1: blown us away. We are already in discussions and we've 1657 01:30:33,240 --> 01:30:36,719 Speaker 1: upgraded here the studio. We actually have new audio equipment 1658 01:30:36,720 --> 01:30:38,840 Speaker 1: and more so we can have more people here at 1659 01:30:38,840 --> 01:30:41,800 Speaker 1: the desk in the future. We are building and preparing 1660 01:30:41,880 --> 01:30:45,240 Speaker 1: for the big election cycle for the midterms, bringing more people, 1661 01:30:46,000 --> 01:30:48,880 Speaker 1: seeing how we can best leverage our show, our resources. 1662 01:30:48,920 --> 01:30:51,080 Speaker 1: All that. We can only do it with your support. 1663 01:30:51,160 --> 01:30:53,360 Speaker 1: So the premium link is down there in description. You're 1664 01:30:53,400 --> 01:30:56,559 Speaker 1: helping us grow. We're literally just getting started. It's been 1665 01:30:56,600 --> 01:31:00,479 Speaker 1: an amazing journey. I really can't believe that it's I mean, 1666 01:31:01,200 --> 01:31:04,960 Speaker 1: number one or top five politics and podcast. We never 1667 01:31:05,000 --> 01:31:08,080 Speaker 1: dropped below number five in the Spotify Politics one six 1668 01:31:08,160 --> 01:31:12,280 Speaker 1: hundred and fifty something thousand subscribers on YouTube. I put 1669 01:31:12,280 --> 01:31:15,719 Speaker 1: this out yesterday. We've interviewed one hundred million times on YouTube, 1670 01:31:15,760 --> 01:31:19,080 Speaker 1: which like boggles the mind. It's crazy. I can't believe 1671 01:31:19,120 --> 01:31:22,160 Speaker 1: it's real, Like really to have the six month period 1672 01:31:22,200 --> 01:31:24,640 Speaker 1: so it's all cred to you for those who signed up, 1673 01:31:24,680 --> 01:31:27,280 Speaker 1: Thank you for those who can't support us. It really 1674 01:31:27,280 --> 01:31:29,479 Speaker 1: means the world. Yeah, we love you guys, Thank you 1675 01:31:29,479 --> 01:31:31,519 Speaker 1: so much. Have a fantastic weekend. We're gonna have some 1676 01:31:31,560 --> 01:31:34,639 Speaker 1: great content for you, including our partnership with The Daily 1677 01:31:34,720 --> 01:31:37,639 Speaker 1: Poster and some other segments that we've gotten the can 1678 01:31:37,680 --> 01:31:39,840 Speaker 1: and I think you'll enjoy. So have a wonderful weekend. 1679 01:31:39,880 --> 01:31:41,759 Speaker 1: We'll see you back here next week. See you next week.