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. Become a Breaking 9 00:00:24,040 --> 00:00:26,560 Speaker 1: Points Premium member today, where you get to watch and 10 00:00:26,680 --> 00:00:29,640 Speaker 1: listen to the entire show ad free and uncut, an 11 00:00:29,680 --> 00:00:32,479 Speaker 1: hour early before everyone else. You get to hear our 12 00:00:32,479 --> 00:00:35,360 Speaker 1: reactions to each other's monologues. You get to participate and 13 00:00:35,400 --> 00:00:37,960 Speaker 1: weekly ask me any things, and you don't need to 14 00:00:38,000 --> 00:00:41,080 Speaker 1: hear our annoying voices pitching you like I am right now, 15 00:00:41,159 --> 00:00:43,320 Speaker 1: So what are you waiting for? Go to Breakingpoints dot 16 00:00:43,360 --> 00:00:46,120 Speaker 1: com become a Premium member today, which is available in 17 00:00:46,159 --> 00:01:05,880 Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody, 18 00:01:05,880 --> 00:01:08,440 Speaker 1: Happy Tuesday. We have an amazing show for everybody today. 19 00:01:08,440 --> 00:01:10,200 Speaker 1: When do we have Bristol? Indeed, we do. Lots of 20 00:01:10,240 --> 00:01:14,440 Speaker 1: interesting developments we are tracking this morning, so CNN and 21 00:01:14,560 --> 00:01:18,640 Speaker 1: Chris Cuomo lawyering up. Cuomo looks like he's ready to 22 00:01:18,680 --> 00:01:22,480 Speaker 1: fight for the remaining twenty million dollars on his contract, 23 00:01:22,480 --> 00:01:24,600 Speaker 1: which it's discussing that that's what he was being paid. 24 00:01:24,600 --> 00:01:27,160 Speaker 1: But anyway, we'll give you all those details. Also, the 25 00:01:27,240 --> 00:01:30,840 Speaker 1: SEC is investigating Trump's new social media company, and there 26 00:01:30,840 --> 00:01:33,800 Speaker 1: are some other big moves in the conservative media landscape 27 00:01:33,800 --> 00:01:36,399 Speaker 1: that are kind of interesting and kind of telling. A 28 00:01:36,440 --> 00:01:39,120 Speaker 1: lot of saber rattling going on right now with regards 29 00:01:39,120 --> 00:01:43,199 Speaker 1: to Russia and Ukraine. Biden has a big phone call 30 00:01:43,319 --> 00:01:46,680 Speaker 1: with Putin today, a lot of eyes on that. Let's 31 00:01:46,680 --> 00:01:49,080 Speaker 1: see what is going to happen with our relationship there 32 00:01:49,080 --> 00:01:51,240 Speaker 1: and if the Hawks are going to get their way. Also, 33 00:01:51,240 --> 00:01:55,600 Speaker 1: a new study reveals just how dramatically unpopular the term 34 00:01:55,840 --> 00:01:59,800 Speaker 1: latin X is. Not only do Latino people not use it, 35 00:02:00,160 --> 00:02:04,320 Speaker 1: a significant portion find it actively offensive. They should really 36 00:02:04,320 --> 00:02:08,080 Speaker 1: cool that Democrats have been embracing that kind of terminology, 37 00:02:08,160 --> 00:02:10,160 Speaker 1: very effective for them. I'm also really excited about our 38 00:02:10,160 --> 00:02:13,000 Speaker 1: guest today. He was a lead organizer for Teamsters for 39 00:02:13,000 --> 00:02:17,240 Speaker 1: a Democratic union. They just won a big election, changing 40 00:02:17,320 --> 00:02:20,480 Speaker 1: leadership at that very significant union. As they look forward 41 00:02:20,480 --> 00:02:24,600 Speaker 1: to try to organize Amazon and big contract negotiations with ups, 42 00:02:24,840 --> 00:02:26,440 Speaker 1: so they're going to talk to them about their more 43 00:02:26,480 --> 00:02:31,080 Speaker 1: militant stance with regards to their workers. But we wanted 44 00:02:31,080 --> 00:02:32,919 Speaker 1: to start with what is going on in New York 45 00:02:32,960 --> 00:02:35,680 Speaker 1: City vs. A vi Amicron. Yeah, that's right. So New 46 00:02:35,760 --> 00:02:39,799 Speaker 1: York City Mayor Mayor Deblasio made a big announcement yesterday 47 00:02:39,840 --> 00:02:43,280 Speaker 1: about a brand new vaccine mandate which does not necessarily 48 00:02:43,320 --> 00:02:46,160 Speaker 1: just apply to people who want to dine in restaurants, 49 00:02:46,200 --> 00:02:49,720 Speaker 1: indoor dining, and elsewhere, but to all employees in the 50 00:02:49,760 --> 00:02:52,320 Speaker 1: five boroughs of New York City. Here's the announcement. Let's 51 00:02:52,360 --> 00:02:54,960 Speaker 1: take a listen. We in New York City have decided 52 00:02:55,000 --> 00:02:58,959 Speaker 1: to use a preemptive strike to really do something bold 53 00:02:59,000 --> 00:03:02,280 Speaker 1: to stop the further growth of COVID and the dangers 54 00:03:02,320 --> 00:03:05,200 Speaker 1: it's causing to all of us. So, as of today, 55 00:03:05,240 --> 00:03:07,720 Speaker 1: we're going to announce say first in the nation measure. 56 00:03:07,800 --> 00:03:12,080 Speaker 1: Our Health Commissioner will announce a vaccine mandate for private 57 00:03:12,120 --> 00:03:16,880 Speaker 1: sector employers across the board. All private sector employers in 58 00:03:17,000 --> 00:03:20,000 Speaker 1: New York City will be covered by this vaccine mandate 59 00:03:20,080 --> 00:03:22,840 Speaker 1: as of December twenty seventh. We're going to have some 60 00:03:22,880 --> 00:03:26,680 Speaker 1: other measures as well to really focus on maximizing vaccination 61 00:03:26,840 --> 00:03:29,880 Speaker 1: quickly so we can get a head of omicron and 62 00:03:30,080 --> 00:03:32,960 Speaker 1: all the other challenges we're facing right now. With Mayor 63 00:03:33,000 --> 00:03:36,440 Speaker 1: Deblasio there announcing a big program. Obviously, it's going to 64 00:03:36,480 --> 00:03:39,800 Speaker 1: go into effect on December twenty seventh in the City 65 00:03:39,800 --> 00:03:41,760 Speaker 1: of New York. It's going to apply to one hundred 66 00:03:41,760 --> 00:03:45,640 Speaker 1: and eighty four thousand businesses in the five borroughs. Remote 67 00:03:45,720 --> 00:03:48,760 Speaker 1: workers will not be required to get the vaccine, but critically, 68 00:03:48,880 --> 00:03:53,360 Speaker 1: there is no testing option as an alternative. Put that 69 00:03:53,720 --> 00:03:56,560 Speaker 1: tear sheet please up there on the screen, because what 70 00:03:56,600 --> 00:03:59,440 Speaker 1: they point to here within this is that there is 71 00:03:59,520 --> 00:04:04,000 Speaker 1: no act, actual justification on the immediate basis crystal. This 72 00:04:04,120 --> 00:04:07,880 Speaker 1: is simply what Deblasio is describing as a quote preemptive strike, 73 00:04:07,920 --> 00:04:10,600 Speaker 1: as he said there in the statement. But if we 74 00:04:10,680 --> 00:04:13,560 Speaker 1: correlate with the rise in cases, yes, there has been 75 00:04:13,560 --> 00:04:16,479 Speaker 1: a slight increase in cases, but it's nowhere near the 76 00:04:16,640 --> 00:04:19,000 Speaker 1: very top. And as Deblasio in the City of New 77 00:04:19,080 --> 00:04:23,120 Speaker 1: York admit themselves, some ninety percent of New Yorkers in 78 00:04:23,120 --> 00:04:25,520 Speaker 1: the City of New York have had at least one 79 00:04:25,560 --> 00:04:28,360 Speaker 1: dose of the vaccine, which is what's required to get 80 00:04:28,680 --> 00:04:31,640 Speaker 1: into a restaurant. So we're ninety percent of the population 81 00:04:31,720 --> 00:04:35,960 Speaker 1: already being vaccinated, not a significant increase necessarily in the 82 00:04:36,040 --> 00:04:40,200 Speaker 1: number of cases, and a zero testing alternative. I mean 83 00:04:40,279 --> 00:04:43,720 Speaker 1: this is just about as Look, this is as far 84 00:04:44,160 --> 00:04:46,680 Speaker 1: as we have seen a public measure in a major 85 00:04:46,720 --> 00:04:50,760 Speaker 1: city in the United States, basically setting up potentially what 86 00:04:50,880 --> 00:04:52,880 Speaker 1: tens of thousands of people from being fired from their 87 00:04:52,960 --> 00:04:55,680 Speaker 1: jobs as a result of this. Yeah, that is absolutely right. 88 00:04:55,800 --> 00:04:58,320 Speaker 1: And you know, I think we kind of consider ourselves 89 00:04:58,400 --> 00:05:00,960 Speaker 1: like COVID centrist. Yes, yere, you're a little more I 90 00:05:01,040 --> 00:05:02,520 Speaker 1: call it, you're a little more on the right. I'm 91 00:05:02,520 --> 00:05:04,400 Speaker 1: a little more on the left. But in general we 92 00:05:04,480 --> 00:05:06,920 Speaker 1: have kind of like a moderate stance on this. This 93 00:05:06,960 --> 00:05:10,479 Speaker 1: is too far without a testing option, This is far 94 00:05:10,520 --> 00:05:14,400 Speaker 1: too draconian. It doesn't just we're not just talking about 95 00:05:14,400 --> 00:05:17,760 Speaker 1: the vaccine mandate. They're also increasing the rules for things 96 00:05:17,800 --> 00:05:20,920 Speaker 1: like dining in entertainment, where now kids ages five to 97 00:05:20,960 --> 00:05:24,120 Speaker 1: eleven also have to be at least have at least 98 00:05:24,160 --> 00:05:26,760 Speaker 1: one dose in order to go into restaurants. Listen, I 99 00:05:26,920 --> 00:05:29,839 Speaker 1: got you know, I'm getting my kids vaccinated. I think 100 00:05:29,880 --> 00:05:34,400 Speaker 1: that the risks outweigh the benefits in terms of the 101 00:05:34,400 --> 00:05:37,120 Speaker 1: benefits outwagh the risks in terms of getting your kids vaccinated. 102 00:05:37,480 --> 00:05:41,920 Speaker 1: But this is incredibly stringent given how low risk kids 103 00:05:42,000 --> 00:05:47,000 Speaker 1: ultimately are at with regards to coronavirus. So they're also 104 00:05:47,279 --> 00:05:50,279 Speaker 1: increasing the number of doses that you have to have 105 00:05:50,360 --> 00:05:53,160 Speaker 1: had as an adult in order to get into restaurants. 106 00:05:53,200 --> 00:05:55,280 Speaker 1: So they used to say, Okay, if you have one dose, 107 00:05:55,320 --> 00:05:57,200 Speaker 1: you can go and eat out or go to the 108 00:05:57,279 --> 00:05:59,920 Speaker 1: show or whatever. Now you have to have two doses. 109 00:06:00,080 --> 00:06:04,400 Speaker 1: So taking very draconian steps here in terms of the 110 00:06:04,440 --> 00:06:07,000 Speaker 1: COVID numbers in New York City right now, Look, they 111 00:06:07,000 --> 00:06:08,960 Speaker 1: have had an increase. Let's put the chart up on 112 00:06:09,000 --> 00:06:12,080 Speaker 1: the screen that we have here. Cases are up about 113 00:06:12,160 --> 00:06:16,200 Speaker 1: twenty six percent over the past two weeks. Deaths and 114 00:06:16,320 --> 00:06:21,240 Speaker 1: hospitalizations though while up, some are up much much less, 115 00:06:21,520 --> 00:06:23,640 Speaker 1: which makes a lot of sense because you have a 116 00:06:23,720 --> 00:06:27,520 Speaker 1: highly vaccinated population. And what have we seen. We've seen 117 00:06:27,640 --> 00:06:30,880 Speaker 1: that yes, breakthrough infections are real, and there are some 118 00:06:30,920 --> 00:06:34,600 Speaker 1: indications that there may be even more breakthrough infections with omicron. 119 00:06:34,839 --> 00:06:38,279 Speaker 1: But the early indications are number one, that omicron results 120 00:06:38,279 --> 00:06:42,360 Speaker 1: in relatively mild disease. Again, these are early indicators, nothing 121 00:06:42,360 --> 00:06:48,159 Speaker 1: definitive yet, and that we know since this population is 122 00:06:48,240 --> 00:06:51,280 Speaker 1: vaccinated that no matter what mariant they're facing, they are 123 00:06:51,400 --> 00:06:54,360 Speaker 1: much less likely to end up hospitalized or dead, which 124 00:06:54,400 --> 00:06:58,000 Speaker 1: are the key metrics that we are concerned about. So look, 125 00:06:58,440 --> 00:07:02,479 Speaker 1: I support I think the Biden vaccine or test option 126 00:07:03,000 --> 00:07:05,320 Speaker 1: makes sense. I think it strikes the right balance. I 127 00:07:05,320 --> 00:07:08,159 Speaker 1: think this is way too far. No, I mean, look, 128 00:07:08,200 --> 00:07:11,280 Speaker 1: they have only had like one hundred and something deaths 129 00:07:11,320 --> 00:07:13,960 Speaker 1: one hundred and thirty six coronavirus deaths in the last 130 00:07:13,960 --> 00:07:17,240 Speaker 1: two weeks. It's a city of what millions and millions 131 00:07:17,240 --> 00:07:20,480 Speaker 1: of people, and we continue to say, look, the case 132 00:07:20,600 --> 00:07:25,280 Speaker 1: number is irrespective of the actual hospitalization and death figure. 133 00:07:25,480 --> 00:07:29,400 Speaker 1: When you have a ninety something percent vaccinated population, well 134 00:07:29,600 --> 00:07:31,840 Speaker 1: that's just going to have it. So that, yes, there 135 00:07:31,840 --> 00:07:34,440 Speaker 1: may be numbers of cases, but as long as the 136 00:07:34,480 --> 00:07:37,960 Speaker 1: deaths and the hospitalizations don't, let's say, rise all the 137 00:07:38,000 --> 00:07:40,560 Speaker 1: way up to the level of overwhelming the entire city's 138 00:07:40,600 --> 00:07:43,600 Speaker 1: hospitalization infrastructure, which has not really been in the card 139 00:07:43,680 --> 00:07:46,480 Speaker 1: since when like March of twenty twenty, they have never 140 00:07:46,960 --> 00:07:49,440 Speaker 1: even crept up to the one hundred percent you figure. 141 00:07:49,640 --> 00:07:52,000 Speaker 1: So you put all of that together, and you're seeing 142 00:07:52,200 --> 00:07:54,280 Speaker 1: very much what I consider I think as well to 143 00:07:54,320 --> 00:07:57,760 Speaker 1: be a dramatic overreaction to omicron at the very same 144 00:07:57,840 --> 00:08:01,160 Speaker 1: time that we continue to get evidence and information from 145 00:08:01,200 --> 00:08:05,320 Speaker 1: South Africa that the omicron variant is more transmissible and 146 00:08:05,600 --> 00:08:08,800 Speaker 1: that it is at least for now less severe or 147 00:08:08,840 --> 00:08:11,440 Speaker 1: at the very least, at the very case not more 148 00:08:11,480 --> 00:08:15,360 Speaker 1: severe than delta or the normal strain of COVID. Here's 149 00:08:15,400 --> 00:08:17,360 Speaker 1: the thing, and I will put major caveat on this. 150 00:08:17,480 --> 00:08:20,000 Speaker 1: South Africa is a lot less old and fat than 151 00:08:20,040 --> 00:08:23,080 Speaker 1: we are, and so there is a consideration there that 152 00:08:23,320 --> 00:08:27,120 Speaker 1: hitting the US population, that this would could be manifesting 153 00:08:27,160 --> 00:08:29,160 Speaker 1: itself pretty much in the same way that we've seen 154 00:08:29,720 --> 00:08:32,160 Speaker 1: with delta and with normal COVID strain, which is that 155 00:08:32,200 --> 00:08:35,280 Speaker 1: because we have such a fat and unhealthy population that 156 00:08:35,480 --> 00:08:39,480 Speaker 1: they suffer disproportionately whenever it comes to COVID. That being said, 157 00:08:39,800 --> 00:08:42,600 Speaker 1: you look at the national stats, including in New York City. 158 00:08:43,000 --> 00:08:46,360 Speaker 1: If you're unvaccinated, you are and especially if you're overweight 159 00:08:47,000 --> 00:08:50,280 Speaker 1: and you're not healthy, you are far far more likely 160 00:08:50,320 --> 00:08:52,400 Speaker 1: to end up in the hospital or to die from 161 00:08:52,440 --> 00:08:55,439 Speaker 1: COVID if you don't have the vaccine, and if you do, 162 00:08:55,640 --> 00:09:00,800 Speaker 1: you can significantly reduce your risk of hospitalization. There's been 163 00:09:00,840 --> 00:09:03,720 Speaker 1: some more confirmation studies gout Crystal, which you know, this 164 00:09:03,800 --> 00:09:06,280 Speaker 1: is the one that people who don't have the vaccine 165 00:09:06,320 --> 00:09:09,320 Speaker 1: always want to vehemently deny. But the truth is that 166 00:09:09,360 --> 00:09:13,640 Speaker 1: it does reduce population widespread, which is that by getting vaccinated, 167 00:09:13,679 --> 00:09:15,200 Speaker 1: you're not only yes. You know, look, if you're a 168 00:09:15,200 --> 00:09:17,160 Speaker 1: young person, I'm not gonna lie, you probably never at 169 00:09:17,240 --> 00:09:20,080 Speaker 1: risk of dying from COVID period. But if you do 170 00:09:20,120 --> 00:09:23,360 Speaker 1: get the vaccine, it does, once again on a population 171 00:09:23,440 --> 00:09:27,560 Speaker 1: wide basis, reduce the overall transmissibility of COVID to the 172 00:09:27,600 --> 00:09:30,480 Speaker 1: general population, which does of course protect the seniors the 173 00:09:30,480 --> 00:09:33,960 Speaker 1: Ammino compromise, et cetera. So you put those two things together. Personally, 174 00:09:34,000 --> 00:09:36,560 Speaker 1: I think it's not necessarily no brainer, especially two doses 175 00:09:36,880 --> 00:09:41,080 Speaker 1: of whatever the vaccine is booster conversation all aside, and 176 00:09:41,160 --> 00:09:43,600 Speaker 1: you see that this, you know, I think just very 177 00:09:43,640 --> 00:09:46,240 Speaker 1: much goes too far. And what I actually do think 178 00:09:46,320 --> 00:09:49,040 Speaker 1: is what I'm afraid of is that New York City 179 00:09:49,080 --> 00:09:52,480 Speaker 1: has been a very leading indicator in these types of policies. 180 00:09:52,520 --> 00:09:55,680 Speaker 1: They were the first to bring a very big vaccine 181 00:09:55,720 --> 00:09:58,880 Speaker 1: mandate on a population wide basis for a large city 182 00:09:59,160 --> 00:10:02,679 Speaker 1: Oregon and some other places follow them, not organ having 183 00:10:02,679 --> 00:10:05,200 Speaker 1: a vaccine mandate statewide. I'm saying what it did is 184 00:10:05,200 --> 00:10:07,679 Speaker 1: that it created public sector incentives in a lot of 185 00:10:07,720 --> 00:10:10,040 Speaker 1: different states, and all of those were to follow. So 186 00:10:10,320 --> 00:10:12,520 Speaker 1: what I would worry about is that very very blue 187 00:10:12,520 --> 00:10:16,680 Speaker 1: cities LA Chicago and more may follow in these footsteps. 188 00:10:16,720 --> 00:10:18,320 Speaker 1: And I mean, look at the science and look at 189 00:10:18,360 --> 00:10:21,800 Speaker 1: the cases. It's just not justified whatsoever. So that I 190 00:10:21,840 --> 00:10:24,079 Speaker 1: think is the concern. I don't think you're going to 191 00:10:24,120 --> 00:10:29,400 Speaker 1: see these sorts of overly aggressive measures taken at the 192 00:10:29,440 --> 00:10:32,360 Speaker 1: federal level. I think the Biden administration has already shown 193 00:10:32,400 --> 00:10:35,160 Speaker 1: their hand. They want to eventually get into place the 194 00:10:35,679 --> 00:10:39,320 Speaker 1: test or vaccine mandate. They've actually pushed that out to 195 00:10:39,320 --> 00:10:42,280 Speaker 1: give employers more time to comply. I think they've sort 196 00:10:42,320 --> 00:10:44,240 Speaker 1: of set the course for as far as they're going 197 00:10:44,280 --> 00:10:46,120 Speaker 1: to go. Not to say you couldn't have, like, for example, 198 00:10:46,120 --> 00:10:48,760 Speaker 1: they've now extended the mass mandate and public buildings and 199 00:10:48,800 --> 00:10:51,040 Speaker 1: on trains and stuff like that. So you could see 200 00:10:51,040 --> 00:10:55,240 Speaker 1: some measures like this, but these extreme, more draconian measures 201 00:10:55,360 --> 00:10:58,800 Speaker 1: like what New York City is pioneering here I do 202 00:10:58,880 --> 00:11:02,000 Speaker 1: think you could see, you know, places like San Francisco, 203 00:11:02,040 --> 00:11:05,760 Speaker 1: places like La You could see sort of liberal blue 204 00:11:06,160 --> 00:11:10,760 Speaker 1: cities in particular taking up some of these more stringent measures. 205 00:11:10,760 --> 00:11:13,400 Speaker 1: So that's more likely to be the direction that we 206 00:11:13,480 --> 00:11:16,959 Speaker 1: ultimately go in. The last thing on this is it's 207 00:11:17,000 --> 00:11:21,199 Speaker 1: actually unclear whether New York City will really end up 208 00:11:21,440 --> 00:11:24,880 Speaker 1: going forward with this mandate, because remember Bill Deblasio is 209 00:11:24,960 --> 00:11:27,000 Speaker 1: only going to be mayor for like three more minutes. 210 00:11:27,760 --> 00:11:32,200 Speaker 1: Eric Adams won the mayoralt he ran on you know, 211 00:11:32,320 --> 00:11:35,200 Speaker 1: kind of a moderate COVID stance. He hasn't made his 212 00:11:35,280 --> 00:11:39,880 Speaker 1: position super clear on how he feels about mass mandates 213 00:11:39,920 --> 00:11:42,880 Speaker 1: and vaccine mandates and all of these things. And in fact, 214 00:11:42,920 --> 00:11:45,680 Speaker 1: we can throw this tweet up on the screen. He 215 00:11:45,880 --> 00:11:48,760 Speaker 1: was asked, or a spokesperson for him was asked, because 216 00:11:48,800 --> 00:11:51,000 Speaker 1: he's I think out of the country on vacation right now, 217 00:11:51,559 --> 00:11:54,840 Speaker 1: whether he's going to go forward with this mandate, and 218 00:11:55,240 --> 00:11:59,920 Speaker 1: he they declined to commit to enforcing it. So this 219 00:12:00,080 --> 00:12:03,320 Speaker 1: goes into effect on December twenty seventh. Eric Adams is 220 00:12:03,360 --> 00:12:06,680 Speaker 1: going to be sworn in very shortly after that, literally 221 00:12:06,800 --> 00:12:10,040 Speaker 1: days after that, So is he going to proceed with 222 00:12:10,080 --> 00:12:13,600 Speaker 1: these measures? Or not too soon to say, and they're 223 00:12:13,640 --> 00:12:16,640 Speaker 1: not giving us any information on that. So even with 224 00:12:16,720 --> 00:12:19,400 Speaker 1: all of this, there's a big caveat of whether, even 225 00:12:19,440 --> 00:12:21,360 Speaker 1: in New York City, it's actually going to happen. Yeah, 226 00:12:22,120 --> 00:12:26,200 Speaker 1: very important point where the current mayor elect stands on 227 00:12:26,240 --> 00:12:30,600 Speaker 1: all this stuff. Who knows. Honestly, since he got elected, 228 00:12:30,640 --> 00:12:32,800 Speaker 1: he's been kind of checked out. Oh yeah, he's been partying. 229 00:12:32,840 --> 00:12:35,520 Speaker 1: I mean yeah, going to the clubs. I think he 230 00:12:35,559 --> 00:12:37,680 Speaker 1: was in Puerto Rico. I think he's also in Ghana. 231 00:12:37,720 --> 00:12:39,800 Speaker 1: I think he's in Ghana right now. I mean, look, 232 00:12:39,960 --> 00:12:43,040 Speaker 1: respect living it up for the Hypergary, I will say 233 00:12:43,240 --> 00:12:46,199 Speaker 1: I do actually respect his sartorial influences. He has a 234 00:12:46,320 --> 00:12:49,040 Speaker 1: very sparkly jacket. Oh really yeah, which is even which 235 00:12:49,040 --> 00:12:52,080 Speaker 1: is frankly even cooler than mine. So, mister mayor elect, 236 00:12:52,120 --> 00:12:54,319 Speaker 1: if you drop me a line, let me know where 237 00:12:54,320 --> 00:12:58,160 Speaker 1: you got it. I'd love to get It's a good point. 238 00:12:57,480 --> 00:13:01,199 Speaker 1: That jacket is very controversial. It is controversial. Glenn Greenweald 239 00:13:01,200 --> 00:13:03,440 Speaker 1: hates it. Yeah, sorry, Glenn, Glenn says so much that 240 00:13:04,200 --> 00:13:07,440 Speaker 1: me to tell Stagger to stop varant it's never gonna happen. 241 00:13:07,800 --> 00:13:11,280 Speaker 1: I love that thing. In all seriousness, Eric Adams has 242 00:13:11,320 --> 00:13:12,880 Speaker 1: not told us where he stands. If I were to 243 00:13:12,920 --> 00:13:15,199 Speaker 1: guess he's going to be on a very different side 244 00:13:15,280 --> 00:13:17,480 Speaker 1: on the mass man or on a vaccine mandate, I 245 00:13:17,480 --> 00:13:19,760 Speaker 1: don't think he would probably roll it back. But this one, 246 00:13:19,840 --> 00:13:22,320 Speaker 1: it could just be about self implementation. It could be 247 00:13:22,320 --> 00:13:24,760 Speaker 1: about letting it expire. All of the things we have 248 00:13:24,840 --> 00:13:26,760 Speaker 1: no idea. That being said, if you live in New 249 00:13:26,840 --> 00:13:28,439 Speaker 1: York City, you know I would not be very happy 250 00:13:28,440 --> 00:13:30,160 Speaker 1: about this, and I do see it as much more 251 00:13:30,160 --> 00:13:32,280 Speaker 1: of a leading indicator. There's not a lot of Eric 252 00:13:32,280 --> 00:13:36,679 Speaker 1: Adams is you know in La Chicago, you know, in Philly, 253 00:13:36,960 --> 00:13:39,920 Speaker 1: or in San Francisco. So still could end up being 254 00:13:39,960 --> 00:13:43,200 Speaker 1: policy for millions of Americans, and we'll continue to track 255 00:13:43,240 --> 00:13:46,360 Speaker 1: that closely. I agree with your guests about Eric Adams 256 00:13:46,360 --> 00:13:49,400 Speaker 1: and what he will do, both because he is very 257 00:13:49,400 --> 00:13:54,040 Speaker 1: close with the business interests in New York who were 258 00:13:54,080 --> 00:13:57,680 Speaker 1: caught off guard by this and not necessarily supportive, and 259 00:13:57,880 --> 00:14:01,280 Speaker 1: because you know, he's trying to to represent himself as 260 00:14:01,320 --> 00:14:04,240 Speaker 1: this like sort of populous figure, and we know that 261 00:14:04,559 --> 00:14:06,200 Speaker 1: you know to the extent that there are still people 262 00:14:06,240 --> 00:14:08,559 Speaker 1: who are totally unvaccinated in New York City. This will 263 00:14:08,559 --> 00:14:11,640 Speaker 1: fall disproportionally on the poor who happened to disproportionally be 264 00:14:11,960 --> 00:14:14,640 Speaker 1: black and brown. So I would think that his political 265 00:14:14,640 --> 00:14:17,160 Speaker 1: instincts would be good to go back to more moderate stance. 266 00:14:17,200 --> 00:14:19,880 Speaker 1: But we will wait and see who. All right, we've 267 00:14:19,920 --> 00:14:23,600 Speaker 1: got some little more information behind the scenes and what 268 00:14:23,840 --> 00:14:28,240 Speaker 1: is going on between CNN and their former star anchor 269 00:14:28,320 --> 00:14:31,600 Speaker 1: Chris Cuomo, as we covered yesterday. Of course, CNN actually 270 00:14:31,760 --> 00:14:35,960 Speaker 1: fired Cuomo after their own of course, Letitia James put 271 00:14:35,960 --> 00:14:38,600 Speaker 1: on a bunch of text messages that looked really terrible 272 00:14:38,600 --> 00:14:42,360 Speaker 1: for him. They hired a law firm to investigate whether 273 00:14:42,440 --> 00:14:45,000 Speaker 1: he had violated their policies, which I don't think you 274 00:14:45,040 --> 00:14:47,160 Speaker 1: really need a law firm to tell you that, but anyway, 275 00:14:47,200 --> 00:14:49,280 Speaker 1: they decided to bring one in within a day, the 276 00:14:49,360 --> 00:14:53,400 Speaker 1: law firm was like, yeah, definitely. And there's an additional 277 00:14:53,440 --> 00:14:56,600 Speaker 1: me too allegation against Chris Cuomo. So all of these 278 00:14:56,640 --> 00:15:00,840 Speaker 1: things piled up, Zucker ultimately decides to fi him. Wall 279 00:15:00,880 --> 00:15:03,000 Speaker 1: Street Journal has some of the behind the scenes details 280 00:15:03,040 --> 00:15:06,040 Speaker 1: that we can put up on the screen, so according 281 00:15:06,160 --> 00:15:09,880 Speaker 1: so there's there's two sides here. Zucker is saying, we 282 00:15:09,880 --> 00:15:13,120 Speaker 1: were totally taken by surprise by the Attorney General's report 283 00:15:14,040 --> 00:15:17,240 Speaker 1: felt mister Cuomo misled him, according to people familiar with 284 00:15:17,280 --> 00:15:21,120 Speaker 1: the situation, and on Saturday, he completed a total u turn. 285 00:15:21,280 --> 00:15:25,040 Speaker 1: After basically standing by Chris Cuomo, he called him and 286 00:15:25,440 --> 00:15:30,080 Speaker 1: fired him. So Cuomo spokes people are saying in a 287 00:15:30,120 --> 00:15:33,080 Speaker 1: text message to the Wall Street Journal, mister Cuomo has 288 00:15:33,120 --> 00:15:35,600 Speaker 1: the highest level of admiration and respect for mister Zucker. 289 00:15:35,640 --> 00:15:38,040 Speaker 1: You know, abut is coming. They were widely known to 290 00:15:38,080 --> 00:15:41,280 Speaker 1: be extremely close and in regular contact, including about the 291 00:15:41,320 --> 00:15:45,240 Speaker 1: details of mister Cuomo's support for his brother. There were 292 00:15:45,360 --> 00:15:49,640 Speaker 1: no secrets about this, as other individuals besides mister Cuomo 293 00:15:49,720 --> 00:15:54,520 Speaker 1: can attest, so Cuomo's box saying Zucker knew everything. They 294 00:15:54,520 --> 00:15:57,560 Speaker 1: were close, and Chris Cuomo was keeping him in the 295 00:15:57,600 --> 00:16:00,960 Speaker 1: loop about the extent of his health for his brother. 296 00:16:01,040 --> 00:16:03,840 Speaker 1: So that's their side of the story. And then CNN responded. 297 00:16:04,320 --> 00:16:08,400 Speaker 1: They said in a written statement that they're disappointed with 298 00:16:08,480 --> 00:16:12,080 Speaker 1: mister Cuoma's characterization of events. Quote he has made a 299 00:16:12,200 --> 00:16:16,680 Speaker 1: number of accusations that are patently false. This reinforces why 300 00:16:16,720 --> 00:16:20,120 Speaker 1: he was terminated for violating our standards and practices, as 301 00:16:20,200 --> 00:16:25,200 Speaker 1: well as his lack of candor. So pretty interesting. Little 302 00:16:25,200 --> 00:16:28,280 Speaker 1: back and forth here. That sets up the next phase 303 00:16:28,480 --> 00:16:33,360 Speaker 1: of the Cuomo CNN conflict, which is that everybody's getting lawyered. 304 00:16:33,600 --> 00:16:36,200 Speaker 1: Let's put this New York Post tear sheet up on 305 00:16:36,240 --> 00:16:40,040 Speaker 1: the screen. Chris Cuomo prepping to sue CNN for more 306 00:16:40,080 --> 00:16:44,880 Speaker 1: than eighteen million dollars over his contract. Apparently that is 307 00:16:44,920 --> 00:16:47,480 Speaker 1: the amount that was left on his multi year contract. 308 00:16:47,640 --> 00:16:51,400 Speaker 1: It's reportedly worth six million dollars annually, leaving between eighteen 309 00:16:51,440 --> 00:16:55,400 Speaker 1: and twenty million. Disgusting that he would be owed, according 310 00:16:55,400 --> 00:17:00,000 Speaker 1: to sources, I think it's unlikely that this would ultimate 311 00:17:00,040 --> 00:17:02,480 Speaker 1: at least succeed, because, as they point out in this piece, 312 00:17:02,520 --> 00:17:05,199 Speaker 1: CNN has a standard morality clause in their contract that 313 00:17:05,240 --> 00:17:08,560 Speaker 1: says if the employee does anything of disrepute, they can 314 00:17:08,640 --> 00:17:12,320 Speaker 1: be immediately fired. And of course that can be interpreted broadly. 315 00:17:12,359 --> 00:17:15,600 Speaker 1: I mean, having been under some of these TV contracts myself, 316 00:17:15,640 --> 00:17:18,119 Speaker 1: I can tell you they are not favorable to the talent. 317 00:17:18,480 --> 00:17:21,080 Speaker 1: They give the network total control over you and give 318 00:17:21,080 --> 00:17:23,639 Speaker 1: them all sorts of wiggle rooms. So if you do 319 00:17:23,720 --> 00:17:26,240 Speaker 1: anything that they don't like, they can frame that as 320 00:17:26,400 --> 00:17:29,199 Speaker 1: you know, doing something of disrepute, and you're out the 321 00:17:29,240 --> 00:17:32,439 Speaker 1: door without another word, so I think it's unlikely that 322 00:17:32,520 --> 00:17:34,919 Speaker 1: he will prevail. But just this morning you sent this 323 00:17:34,960 --> 00:17:37,639 Speaker 1: to me. The lawyer that Cuomo actually has brought on 324 00:17:38,400 --> 00:17:41,639 Speaker 1: was the one who handled Megan Kelly's exit, So this 325 00:17:41,800 --> 00:17:45,000 Speaker 1: is someone who is well known and very familiar in 326 00:17:45,040 --> 00:17:47,720 Speaker 1: the industry, relatively high powered people. I think this is 327 00:17:47,760 --> 00:17:50,520 Speaker 1: still very important because what is going to review and 328 00:17:50,560 --> 00:17:53,720 Speaker 1: why I think that Chris Cuomo is suing and ultimately 329 00:17:53,760 --> 00:17:56,240 Speaker 1: we'll get some sort of large settlement. Is the last 330 00:17:56,240 --> 00:17:58,000 Speaker 1: thing that they want is to have to go through 331 00:17:58,000 --> 00:18:01,920 Speaker 1: some discovery process and have people get deposed under oath 332 00:18:02,080 --> 00:18:04,119 Speaker 1: as to what they knew and when they knew. I 333 00:18:04,160 --> 00:18:09,720 Speaker 1: think that CNN and Discovery to say Discovery in their 334 00:18:09,840 --> 00:18:12,639 Speaker 1: new company, and once again we've showed you their shareholder 335 00:18:12,960 --> 00:18:16,120 Speaker 1: has said they're one of their top shareholders said on CNBC, 336 00:18:16,480 --> 00:18:19,240 Speaker 1: I want to see them return to news leaks constantly 337 00:18:19,280 --> 00:18:21,719 Speaker 1: coming out of David Zaslav's office. I think that's how 338 00:18:21,720 --> 00:18:24,720 Speaker 1: I say his name. Apologies, the new CEO of Discovery, 339 00:18:24,760 --> 00:18:26,560 Speaker 1: who is the head and the boss of Jeff Sucker. 340 00:18:26,600 --> 00:18:29,320 Speaker 1: Now he is coming out saying that unsatisfied with the 341 00:18:29,359 --> 00:18:31,960 Speaker 1: current state of the network, considering turning over much of 342 00:18:32,000 --> 00:18:34,760 Speaker 1: the talent. Even before all of this. The very last 343 00:18:34,760 --> 00:18:37,760 Speaker 1: thing that they need is some sort of you know, 344 00:18:37,880 --> 00:18:41,719 Speaker 1: deposition where they interview and as they interview, not only 345 00:18:41,800 --> 00:18:45,399 Speaker 1: Jeff Sucker, what did Chris Cuomo allude to? Other people 346 00:18:45,440 --> 00:18:48,040 Speaker 1: can attest to that, and so to pose other top 347 00:18:48,119 --> 00:18:51,160 Speaker 1: CNN executives, other people who were in the room whenever 348 00:18:51,240 --> 00:18:54,280 Speaker 1: Chris Cuomo said what he had did or not having 349 00:18:54,359 --> 00:18:56,880 Speaker 1: all that in the record, as long as CNN's emails 350 00:18:56,880 --> 00:18:59,879 Speaker 1: and more. I mean, it was tremendously embarrassing for NBC 351 00:19:00,040 --> 00:19:02,960 Speaker 1: when they had to pay out Magan Kelly's contract in full, 352 00:19:03,240 --> 00:19:04,679 Speaker 1: and a lot of the stuff that was coming out 353 00:19:04,720 --> 00:19:07,399 Speaker 1: on that made them look terrible. Same thing has happened 354 00:19:07,440 --> 00:19:09,480 Speaker 1: a million times, you know, every time one of these 355 00:19:09,480 --> 00:19:12,600 Speaker 1: Fox people, you know, departs and they have to lawyer up, 356 00:19:12,600 --> 00:19:14,879 Speaker 1: and then people start getting to posed and who knew 357 00:19:14,880 --> 00:19:17,199 Speaker 1: what and Roger Rails and all this stuff. It's a 358 00:19:17,240 --> 00:19:20,000 Speaker 1: total nightmare. The reason I think once again all of 359 00:19:20,040 --> 00:19:23,479 Speaker 1: this matters is that whenever you point to the highest 360 00:19:23,560 --> 00:19:26,480 Speaker 1: levels of you know, the news networks like this, these 361 00:19:26,480 --> 00:19:30,480 Speaker 1: people have such a disproportionate impact on American politics, on 362 00:19:30,520 --> 00:19:33,480 Speaker 1: the politicians at the interview, look at Chris Cuomo's own 363 00:19:33,680 --> 00:19:36,280 Speaker 1: network of people that he used to try and dig 364 00:19:36,320 --> 00:19:38,680 Speaker 1: up dirt on the people who were going after his brother. 365 00:19:39,240 --> 00:19:42,479 Speaker 1: On the stuff that they choose to cover sets the 366 00:19:42,520 --> 00:19:46,040 Speaker 1: tone of Democratic and Republican party politics in a way. 367 00:19:46,400 --> 00:19:49,560 Speaker 1: They've probably never had more influence than they've had today. 368 00:19:49,800 --> 00:19:52,639 Speaker 1: And I know that can seem very converse, but the 369 00:19:52,720 --> 00:19:56,199 Speaker 1: fact is is that because the most diehards remain on 370 00:19:56,240 --> 00:19:58,639 Speaker 1: cable news, those are the people who vote the most. 371 00:19:58,840 --> 00:20:01,040 Speaker 1: Those are the people whose taste and all that they 372 00:20:01,119 --> 00:20:04,720 Speaker 1: respond to the politicians the most because everybody else is 373 00:20:04,800 --> 00:20:06,840 Speaker 1: kind of checked out. So in a way like it's 374 00:20:06,880 --> 00:20:09,440 Speaker 1: a disservice that has been happened to us in the 375 00:20:09,480 --> 00:20:12,879 Speaker 1: way our partisan politics works. But it makes it so 376 00:20:12,960 --> 00:20:15,080 Speaker 1: that when we have to cover the ins and outs 377 00:20:15,080 --> 00:20:17,520 Speaker 1: of these networks and more. The reason why is because 378 00:20:17,520 --> 00:20:20,600 Speaker 1: they're impact I don't think can be overstated. It's on 379 00:20:20,640 --> 00:20:23,040 Speaker 1: the state of the country. It's very unfortunate. But the 380 00:20:23,119 --> 00:20:27,080 Speaker 1: reality is twofold number one, they're elite taste makers. So 381 00:20:27,359 --> 00:20:30,200 Speaker 1: and I always talk about this morning. Joe really understood 382 00:20:30,240 --> 00:20:33,280 Speaker 1: this and pioneered this model. They don't get the highest 383 00:20:33,359 --> 00:20:39,399 Speaker 1: ratings they never had, but everybody here in DC watches it. 384 00:20:39,000 --> 00:20:44,280 Speaker 1: It's like their own little clubby Breakfast show where they 385 00:20:44,359 --> 00:20:47,520 Speaker 1: know they're Republican or Democratic colleagues are going to be 386 00:20:47,560 --> 00:20:52,480 Speaker 1: on there, and so they get very high advertising dollar 387 00:20:52,560 --> 00:20:56,520 Speaker 1: rates because the advertisers know that it's an elite audience 388 00:20:56,880 --> 00:21:00,399 Speaker 1: that is watching the show. So financially it's very successful model, 389 00:21:00,440 --> 00:21:03,640 Speaker 1: and also influence wise, it's a very successful model. Then 390 00:21:03,680 --> 00:21:07,320 Speaker 1: you add to that this sort of agenda setting for 391 00:21:07,600 --> 00:21:11,680 Speaker 1: the hardest core of the Democratic and the Republican bases. 392 00:21:11,720 --> 00:21:15,280 Speaker 1: With Fox News, you put those two things together, and 393 00:21:15,400 --> 00:21:18,000 Speaker 1: even as their ratings plummet and we would all like 394 00:21:18,080 --> 00:21:20,600 Speaker 1: them to fade into irrelevancy because of the damage that 395 00:21:20,600 --> 00:21:24,400 Speaker 1: they've done to the country, they continued to be extraordinarily influential. 396 00:21:24,600 --> 00:21:26,600 Speaker 1: So that's why we cover them as much as we do, 397 00:21:27,080 --> 00:21:28,919 Speaker 1: because as much as we would like for them do 398 00:21:29,040 --> 00:21:32,879 Speaker 1: not matter. That's not reality. And just look at what 399 00:21:33,000 --> 00:21:36,080 Speaker 1: happened in the Democratic primary with Joe Biden to understand 400 00:21:36,400 --> 00:21:39,160 Speaker 1: dude was about to lose. I mean, had pathetic performance 401 00:21:39,160 --> 00:21:42,840 Speaker 1: in Iowa, pathetic performance in New Hampshire, pretty pathetic performance 402 00:21:42,880 --> 00:21:47,159 Speaker 1: in Nevada as well, and yet the moment that taste 403 00:21:47,160 --> 00:21:50,920 Speaker 1: makers on MSNBC and CNN said this is the guy, 404 00:21:51,080 --> 00:21:52,920 Speaker 1: this is who we have to get behind to beat 405 00:21:52,960 --> 00:21:55,760 Speaker 1: Bernie Sanders and then beat Trump. It all fell in 406 00:21:55,840 --> 00:21:58,840 Speaker 1: line in states, even places that Joe Biden had never 407 00:21:58,880 --> 00:22:01,719 Speaker 1: even visited before didn't have an operation at all. I mean, 408 00:22:01,760 --> 00:22:04,719 Speaker 1: this guy was running out of money. So that shows 409 00:22:04,760 --> 00:22:08,720 Speaker 1: you how powerful, unfortunately they continue to be. I think 410 00:22:08,760 --> 00:22:12,240 Speaker 1: your legal analysis is probably spot on. Listen, if they 411 00:22:12,320 --> 00:22:14,640 Speaker 1: actually came down to and they went to trial and whatever, 412 00:22:14,680 --> 00:22:18,680 Speaker 1: would Chris Cuomo prevail in this probably not y Does 413 00:22:18,720 --> 00:22:22,480 Speaker 1: CNN want to go through the process and all that 414 00:22:22,520 --> 00:22:26,240 Speaker 1: would be uncovered through discovery of just how much did 415 00:22:26,280 --> 00:22:28,720 Speaker 1: they know and what did their messages with Chris look 416 00:22:28,840 --> 00:22:31,919 Speaker 1: like and all of that. No, I don't think so, 417 00:22:32,119 --> 00:22:35,920 Speaker 1: because even if and I actually believe that Zucker genuinely 418 00:22:35,920 --> 00:22:39,320 Speaker 1: felt misled and caught off guard by some of the revelations, 419 00:22:39,880 --> 00:22:42,320 Speaker 1: but he probably knew more than he was letting me exactly, 420 00:22:42,359 --> 00:22:44,760 Speaker 1: And so they would end up with a lot of 421 00:22:44,800 --> 00:22:47,600 Speaker 1: egg on their face if all of that internal sausage 422 00:22:47,600 --> 00:22:49,960 Speaker 1: making was to be brought out into the public eye. 423 00:22:50,000 --> 00:22:53,160 Speaker 1: So I think you're right that probably they will look 424 00:22:53,200 --> 00:22:56,080 Speaker 1: to settle just to avoid that, because listen, as much 425 00:22:56,160 --> 00:23:00,720 Speaker 1: money as millions of dollars is to you know, all 426 00:23:00,760 --> 00:23:04,320 Speaker 1: of us, for them, it's really nothing to avoid having 427 00:23:04,359 --> 00:23:07,600 Speaker 1: an ugly sort of pr situation. Almost certainly that's what's 428 00:23:07,640 --> 00:23:12,280 Speaker 1: going to happen. We'll see on the flip side some 429 00:23:12,359 --> 00:23:17,320 Speaker 1: conservative media news here. So you guys, remember Trump partnering 430 00:23:17,400 --> 00:23:21,840 Speaker 1: up with this existing social media startup to launch his 431 00:23:21,960 --> 00:23:26,560 Speaker 1: own social media channel. Apparently they've raised a billion dollars 432 00:23:27,080 --> 00:23:30,720 Speaker 1: so so far. Financially, it looks like it's been very 433 00:23:30,760 --> 00:23:34,320 Speaker 1: successful for him. But there are some questions here, So 434 00:23:34,359 --> 00:23:36,280 Speaker 1: let's go ahead and throw this tweet up on the screen. 435 00:23:37,080 --> 00:23:41,679 Speaker 1: Apparently the SEC and other regulators are actually investigating the 436 00:23:41,840 --> 00:23:45,520 Speaker 1: financing for Trump's new media company. It's not really worth 437 00:23:45,560 --> 00:23:47,960 Speaker 1: reading the fine print there because it doesn't really say anything, 438 00:23:48,400 --> 00:23:52,119 Speaker 1: and the fact that they're investigating doesn't mean inherently that 439 00:23:52,320 --> 00:23:55,840 Speaker 1: anything that there was any wrongdoing. Yes, it just means 440 00:23:55,840 --> 00:23:58,879 Speaker 1: they have some questions. And I read into this a 441 00:23:58,920 --> 00:24:01,240 Speaker 1: little bit and not with without you know, getting into 442 00:24:01,280 --> 00:24:03,800 Speaker 1: the nitty gritty details of the financing here. You'll remember 443 00:24:03,840 --> 00:24:08,680 Speaker 1: the way that this was executed was through this one 444 00:24:08,720 --> 00:24:11,800 Speaker 1: of these specs, which is basically they call them blank 445 00:24:11,880 --> 00:24:15,480 Speaker 1: check companies, where it's a vehicle that investors put money 446 00:24:15,520 --> 00:24:18,480 Speaker 1: into and then they go around looking for deals. It 447 00:24:18,560 --> 00:24:20,600 Speaker 1: took a backdoor IPO as a way to think about it. 448 00:24:20,840 --> 00:24:23,760 Speaker 1: I'm you disclose too much on the upfront effectively, like 449 00:24:23,800 --> 00:24:26,680 Speaker 1: Paul Ryan did one of these, and people invest in 450 00:24:26,880 --> 00:24:29,920 Speaker 1: the leadership of this SPAC thinking like, oh, they've got 451 00:24:29,920 --> 00:24:33,440 Speaker 1: special knowledge in whatever it is, tech or finance, etc. 452 00:24:33,720 --> 00:24:35,520 Speaker 1: And they'll find a good deal. And we believe in 453 00:24:35,560 --> 00:24:37,240 Speaker 1: their leadership and we think that they're going to find 454 00:24:37,280 --> 00:24:41,160 Speaker 1: a good deal. But in order to use that mechanism, 455 00:24:41,359 --> 00:24:45,200 Speaker 1: there can't have been foresight or meetings that took place 456 00:24:45,280 --> 00:24:49,639 Speaker 1: beforehand with potential deals. It has to truly be like 457 00:24:49,720 --> 00:24:52,680 Speaker 1: a blank check where investors really don't know what deal 458 00:24:52,720 --> 00:24:55,960 Speaker 1: they're going to ultimately end up in. And it appears 459 00:24:56,119 --> 00:24:59,760 Speaker 1: that there were some meetings. They're probing that merger because 460 00:24:59,760 --> 00:25:04,479 Speaker 1: they're there were some meetings with Trump and the SPAC 461 00:25:04,600 --> 00:25:07,800 Speaker 1: leadership before the SPAC raised money. So that's where the 462 00:25:07,880 --> 00:25:10,200 Speaker 1: questions are coming in of whether it actually followed the 463 00:25:10,280 --> 00:25:14,959 Speaker 1: rules of what SPACs are supposed to do. Putting that aside, 464 00:25:15,240 --> 00:25:19,480 Speaker 1: It's interesting right now there's this movement in among conservatives 465 00:25:19,520 --> 00:25:24,160 Speaker 1: to sort of establish their own ecosystem of social media companies, 466 00:25:25,200 --> 00:25:31,680 Speaker 1: cloud server, computing, cryptocurrencies, even different apps. We can throw 467 00:25:31,720 --> 00:25:35,040 Speaker 1: this Axios tweet up on the screen, so they say 468 00:25:35,040 --> 00:25:38,000 Speaker 1: conservatives are building their own apps, phones, cryptocurrencies, and publishing 469 00:25:38,080 --> 00:25:42,360 Speaker 1: houses to circumvent the mainstream tech and media media ecosystems. 470 00:25:42,400 --> 00:25:44,919 Speaker 1: You can see this chart here which shows we know 471 00:25:45,040 --> 00:25:52,160 Speaker 1: these places like one American news network, Newsmax, Rumble, all 472 00:25:52,200 --> 00:25:55,960 Speaker 1: these places that they're doing. Okay, they're not doing like amazingly. Well, 473 00:25:56,000 --> 00:25:58,920 Speaker 1: there was a big spike back around November. Now they've 474 00:25:59,000 --> 00:26:03,439 Speaker 1: kind of faded off, but clearly there's a movement with 475 00:26:03,680 --> 00:26:06,600 Speaker 1: among conservatives where they feel like, listen, we don't run 476 00:26:06,760 --> 00:26:09,600 Speaker 1: any of these institutions that have a lot of control 477 00:26:09,840 --> 00:26:13,320 Speaker 1: over the public dialogue and the public square, so we're 478 00:26:13,320 --> 00:26:15,879 Speaker 1: going to start our own. Now. The problem with that 479 00:26:16,119 --> 00:26:18,760 Speaker 1: is then you sort of silo yourself in a certain sense. 480 00:26:18,760 --> 00:26:21,200 Speaker 1: So we've seen, I mean, Trump is a perfect example 481 00:26:21,240 --> 00:26:24,199 Speaker 1: of this, right he gets kicked off of Twitter and 482 00:26:24,240 --> 00:26:27,320 Speaker 1: suddenly he is a lot less relevant in the elite conversation, 483 00:26:27,520 --> 00:26:30,680 Speaker 1: which frankly has been kind of nice but for him, 484 00:26:30,800 --> 00:26:33,240 Speaker 1: and in terms of us caring about you know, censorship 485 00:26:33,240 --> 00:26:35,880 Speaker 1: and having a parody of viewpoints, it's been a very 486 00:26:35,880 --> 00:26:40,480 Speaker 1: bad thing. So if a lot of conservatives move onto 487 00:26:40,520 --> 00:26:44,600 Speaker 1: these alternative platforms, are they really doing themselves any favors 488 00:26:44,640 --> 00:26:46,680 Speaker 1: or are they increasingly just talking to themselves? Well that's 489 00:26:46,720 --> 00:26:49,080 Speaker 1: the funny part, right, which is that the criticism of this, 490 00:26:49,160 --> 00:26:51,560 Speaker 1: as you see from Brian Stelton, knows like it's terrifying. 491 00:26:51,560 --> 00:26:53,480 Speaker 1: They're building their own thing, and it's like yeah, but 492 00:26:53,640 --> 00:26:55,840 Speaker 1: you know, the criticism was also if you don't like it, 493 00:26:55,880 --> 00:26:57,879 Speaker 1: then build your own thing. So which is it? Right? 494 00:26:57,960 --> 00:27:00,359 Speaker 1: I agree with you though, which is that you're not 495 00:27:00,400 --> 00:27:02,959 Speaker 1: criticizing it as like it's a scary development. What you're 496 00:27:03,000 --> 00:27:05,719 Speaker 1: actually pointing to, and this has always been my criticism 497 00:27:06,080 --> 00:27:09,320 Speaker 1: of these kind of niche platforms is why would I 498 00:27:09,359 --> 00:27:13,280 Speaker 1: want to be somewhere where only other like minded people are. 499 00:27:13,560 --> 00:27:17,280 Speaker 1: The whole point of a social network is everybody's on 500 00:27:17,400 --> 00:27:21,760 Speaker 1: the social network. I mean, yes, some niche communities and others. 501 00:27:21,920 --> 00:27:23,960 Speaker 1: It's not a bad idea goes all the way back 502 00:27:23,960 --> 00:27:27,560 Speaker 1: to subreddits and you know boards on four Chan having 503 00:27:27,640 --> 00:27:31,280 Speaker 1: niche places where people can talk about a like minded topic, 504 00:27:31,359 --> 00:27:35,159 Speaker 1: but to have the ability to go from one subreddit 505 00:27:35,359 --> 00:27:37,639 Speaker 1: to another, to another to another, and then you know, 506 00:27:37,680 --> 00:27:40,800 Speaker 1: to the entire thing aggregated together. That's kind of what 507 00:27:40,840 --> 00:27:44,280 Speaker 1: Twitter was, That's kind of what Facebook was, any other 508 00:27:44,680 --> 00:27:48,560 Speaker 1: anything that leverages the entire social network. So I would 509 00:27:48,560 --> 00:27:51,440 Speaker 1: critique it more from a you know, from a limiting 510 00:27:51,520 --> 00:27:55,480 Speaker 1: perspective of if you're making your entire market just the 511 00:27:55,800 --> 00:27:58,800 Speaker 1: American right, and then even with the American Right, you're 512 00:27:58,840 --> 00:28:01,840 Speaker 1: stripping it all down for parts the Daily Wire more 513 00:28:01,880 --> 00:28:05,520 Speaker 1: libertarian Ben Shapiro type audience here on this app, you know, 514 00:28:05,600 --> 00:28:10,399 Speaker 1: the Trump maga faithful on this app. One America News 515 00:28:10,480 --> 00:28:13,400 Speaker 1: Newsmax type people, and you break it all across. It's 516 00:28:13,440 --> 00:28:15,840 Speaker 1: not that many people. I mean, look, yes, you can 517 00:28:16,119 --> 00:28:18,880 Speaker 1: pot you can sustain in a business in the millions 518 00:28:18,880 --> 00:28:20,800 Speaker 1: and the multimillion dollar figure, but you're not going to 519 00:28:20,800 --> 00:28:23,720 Speaker 1: be a multi trillion dollar or multi billion dollar company 520 00:28:23,800 --> 00:28:27,159 Speaker 1: like a Twitter or a Facebook. So from that perspective, 521 00:28:27,400 --> 00:28:30,920 Speaker 1: you're actually kind of making it and making yourself less 522 00:28:31,000 --> 00:28:34,359 Speaker 1: relevant in a mainstream context. But look for some people, 523 00:28:34,440 --> 00:28:37,800 Speaker 1: that's worth the trade off. This is the question with Trump, 524 00:28:38,080 --> 00:28:40,400 Speaker 1: how does this all work out, because let's put this 525 00:28:40,480 --> 00:28:44,120 Speaker 1: on the screen here. Devin Nunez, Congressman Devin Nunez is 526 00:28:44,160 --> 00:28:47,560 Speaker 1: going to retire from Congress. He was literally in line 527 00:28:47,840 --> 00:28:50,200 Speaker 1: to be the ways and Means Chairman in the House 528 00:28:50,280 --> 00:28:54,120 Speaker 1: Republican my majority, So in twenty twenty two he would 529 00:28:54,160 --> 00:28:57,160 Speaker 1: be literally the most powerful chairman in the all of 530 00:28:57,240 --> 00:29:01,560 Speaker 1: Congress with head and say over taxes. Peo'll spend decades 531 00:29:01,560 --> 00:29:03,920 Speaker 1: trying to get that, and he is going to be 532 00:29:03,920 --> 00:29:08,280 Speaker 1: stepping down to become the CEO of the Trump Media Group. 533 00:29:08,320 --> 00:29:10,920 Speaker 1: And I guess, you know, if I cannot think of 534 00:29:10,920 --> 00:29:14,800 Speaker 1: a better example of where does the power actually lie 535 00:29:15,200 --> 00:29:19,040 Speaker 1: in today's society, It's not in the actual policy. It 536 00:29:19,120 --> 00:29:24,200 Speaker 1: really is in terms of media influence and you know, 537 00:29:24,280 --> 00:29:26,920 Speaker 1: and social media technology. So for Devin units to be 538 00:29:26,960 --> 00:29:29,720 Speaker 1: doing this, giving up the most powerful chairmanship in all 539 00:29:29,760 --> 00:29:32,320 Speaker 1: of Washington to go and become CEO of the Trump 540 00:29:32,400 --> 00:29:35,040 Speaker 1: Media Group, he sees what he probably is making the 541 00:29:35,040 --> 00:29:38,840 Speaker 1: correct decision in terms of having more influence broadly. But 542 00:29:39,120 --> 00:29:43,040 Speaker 1: again it just goes to show what is the actual 543 00:29:43,440 --> 00:29:46,560 Speaker 1: impact of this Trump social media service going to be 544 00:29:47,440 --> 00:29:51,120 Speaker 1: without networks, without network effects? Crystal, is it really just 545 00:29:51,200 --> 00:29:54,000 Speaker 1: pr I mean it's right, it's just a way for 546 00:29:54,080 --> 00:29:57,640 Speaker 1: Trump to converse with his followers. The basics of that 547 00:29:57,680 --> 00:30:01,640 Speaker 1: technology has been around for decades with email lists and 548 00:30:01,720 --> 00:30:04,720 Speaker 1: now and more so, is this just a glorified Twitter, 549 00:30:04,960 --> 00:30:07,200 Speaker 1: you know functionality and the ability for Trump to just 550 00:30:07,240 --> 00:30:09,160 Speaker 1: put out his pr statements and for Trump to make 551 00:30:09,200 --> 00:30:11,880 Speaker 1: a bunch of money, right, I mean, also, how exactly 552 00:30:12,000 --> 00:30:14,080 Speaker 1: is it going to get monetized? I mean, look, they 553 00:30:14,120 --> 00:30:16,160 Speaker 1: are as followers if we want to monetize them, It's 554 00:30:16,160 --> 00:30:17,520 Speaker 1: not like he hasn't been doing it for a long 555 00:30:17,560 --> 00:30:21,280 Speaker 1: time with his super packs and all of that, which 556 00:30:21,320 --> 00:30:23,280 Speaker 1: have no restrictions in terms of what he wants to 557 00:30:23,280 --> 00:30:26,320 Speaker 1: spend his money on, but in terms of money making 558 00:30:26,360 --> 00:30:29,080 Speaker 1: operation and in terms of also the actual influence of 559 00:30:29,080 --> 00:30:31,280 Speaker 1: this thing, I just think it caps out amongst what 560 00:30:31,320 --> 00:30:34,440 Speaker 1: like sixteen seventy percent of the US population. Well, the 561 00:30:34,480 --> 00:30:37,000 Speaker 1: other thing is and also I mean they have an 562 00:30:37,000 --> 00:30:40,080 Speaker 1: older base who are going to be slower to pick 563 00:30:40,160 --> 00:30:42,280 Speaker 1: up on some of these technologies. But you know, the 564 00:30:42,360 --> 00:30:45,800 Speaker 1: other thing is one thing that we witnessed during the 565 00:30:45,840 --> 00:30:49,760 Speaker 1: twenty twenty presidential campaign for Trump was that part of 566 00:30:49,800 --> 00:30:52,520 Speaker 1: the problem for them, part of why they lost is 567 00:30:52,560 --> 00:30:55,480 Speaker 1: because they were way too online. You know, they were 568 00:30:55,480 --> 00:30:58,200 Speaker 1: elevating all the what were their names, the mc closkey's 569 00:30:58,320 --> 00:31:02,160 Speaker 1: or whatever those people in Missouri, right, is that their name? 570 00:31:02,920 --> 00:31:05,520 Speaker 1: Like that? Anyway, they were all I mean, you would 571 00:31:05,520 --> 00:31:07,959 Speaker 1: listen to some of the speeches at the RNC and 572 00:31:08,000 --> 00:31:10,240 Speaker 1: you're like, I don't even know what you're talking about 573 00:31:10,320 --> 00:31:13,240 Speaker 1: right now, and I follow politics. I had to translate 574 00:31:13,280 --> 00:31:18,959 Speaker 1: for you. Yeah, you would. I'm like, what what are 575 00:31:18,960 --> 00:31:21,400 Speaker 1: they even? What point are they making? So they had 576 00:31:21,520 --> 00:31:24,320 Speaker 1: already sort of siloed themselves in this way that you 577 00:31:24,400 --> 00:31:27,239 Speaker 1: had to be following all the ins and outs of 578 00:31:27,280 --> 00:31:31,600 Speaker 1: every John Solomon column to understand exactly what was going 579 00:31:31,640 --> 00:31:35,000 Speaker 1: on with these speeches in the language that they were using. 580 00:31:35,080 --> 00:31:38,000 Speaker 1: So it wasn't connecting the way that it should because 581 00:31:38,000 --> 00:31:40,160 Speaker 1: they were already in their own bubble. So listen, we're 582 00:31:40,160 --> 00:31:42,000 Speaker 1: about to talk, you know, and a little bit in 583 00:31:42,000 --> 00:31:44,479 Speaker 1: the show about the way that the left can silo 584 00:31:44,560 --> 00:31:48,479 Speaker 1: themselves and use this like specialized language that you have 585 00:31:48,560 --> 00:31:51,360 Speaker 1: to be on in the inner inner circle of left 586 00:31:51,400 --> 00:31:54,160 Speaker 1: activist politics to understand to the point that even Bernie 587 00:31:54,160 --> 00:31:56,960 Speaker 1: Sanders is like out of step with where the language 588 00:31:56,960 --> 00:31:59,760 Speaker 1: has gone. But there's a similar danger on the right, 589 00:32:00,200 --> 00:32:03,600 Speaker 1: where you know, anybody who sort of silos themselves off 590 00:32:03,640 --> 00:32:07,960 Speaker 1: too far and gets too disconnected from what mainstream political 591 00:32:08,040 --> 00:32:11,200 Speaker 1: conversation looks like and sounds like, is going to end 592 00:32:11,280 --> 00:32:14,600 Speaker 1: up in that place where the language that they're using, 593 00:32:14,640 --> 00:32:18,360 Speaker 1: the topics that they're talking about, don't necessarily connect with 594 00:32:18,480 --> 00:32:21,840 Speaker 1: a broader audience. And so we've already seen some of 595 00:32:21,880 --> 00:32:24,000 Speaker 1: that happening, and I would think that there was this 596 00:32:24,000 --> 00:32:27,200 Speaker 1: would just continue to push in that direction. I remember 597 00:32:27,320 --> 00:32:29,840 Speaker 1: the usually the first of the second debate with Trump 598 00:32:29,840 --> 00:32:32,760 Speaker 1: and Biden, where he was talking about some arcane part 599 00:32:32,840 --> 00:32:35,160 Speaker 1: of Russia Gate, which I did know because I followed 600 00:32:35,200 --> 00:32:37,280 Speaker 1: it ends and out, and I remember being like, dude, 601 00:32:37,280 --> 00:32:39,800 Speaker 1: nobody knows what you're talking about, right, Like, like I 602 00:32:39,840 --> 00:32:41,800 Speaker 1: have to follow this stuff day in day out. I've 603 00:32:41,800 --> 00:32:44,760 Speaker 1: had a tangential sense of some remark he was making 604 00:32:44,800 --> 00:32:48,440 Speaker 1: about Russia Gate or Ukraine Gate, I forget even which 605 00:32:48,480 --> 00:32:51,280 Speaker 1: one it was, And I was like, listen, just be normal, 606 00:32:51,400 --> 00:32:53,800 Speaker 1: talk about the stuff that people actually cared about. Why 607 00:32:53,800 --> 00:32:57,240 Speaker 1: did Trump almost come this close to winning the presidential 608 00:32:57,280 --> 00:33:00,120 Speaker 1: election twenty twenty? People were fed up with COVID hat 609 00:33:00,200 --> 00:33:03,360 Speaker 1: political correctness. That's it. It's simple. All he has to 610 00:33:03,400 --> 00:33:05,840 Speaker 1: do is talk about that over and over and over again. 611 00:33:06,040 --> 00:33:09,160 Speaker 1: With Biden, it had nothing to do with oh trio, 612 00:33:09,320 --> 00:33:13,360 Speaker 1: this fake Atlantic story about how Trump said some whatever 613 00:33:13,600 --> 00:33:16,920 Speaker 1: at the World War One graves call them suckers and losers. 614 00:33:17,040 --> 00:33:20,720 Speaker 1: This obviously bs. What it was was Biden was like, listen, 615 00:33:21,120 --> 00:33:24,160 Speaker 1: things are crazy right now, and if you elect me, 616 00:33:24,480 --> 00:33:27,440 Speaker 1: I'll make it not crazy. Yeah, I mean didn't work out, 617 00:33:27,680 --> 00:33:29,800 Speaker 1: but that was his pitch. That's why a lot of 618 00:33:29,800 --> 00:33:33,240 Speaker 1: people voted for that. And actually so basic. Actually that 619 00:33:33,400 --> 00:33:37,080 Speaker 1: was one of Biden's strengths was that they were not online. Yes, 620 00:33:37,080 --> 00:33:40,360 Speaker 1: they were terminally not online. And you know, I mean 621 00:33:41,120 --> 00:33:44,320 Speaker 1: Joe Biden probably doesn't even really understand what Twitter is, 622 00:33:44,680 --> 00:33:48,440 Speaker 1: you know, like I'm sure never logged into Twitter himself. 623 00:33:48,840 --> 00:33:51,680 Speaker 1: And so the fact that they were out of the 624 00:33:51,800 --> 00:33:56,959 Speaker 1: loop with those super specialized elite activist conversations happening on 625 00:33:57,000 --> 00:34:00,000 Speaker 1: the left, that was a major asset, that huge ass 626 00:34:00,240 --> 00:34:03,720 Speaker 1: major asset for Biden both in the primary and ultimately 627 00:34:03,920 --> 00:34:07,560 Speaker 1: in the general election. So yeah, I don't see the 628 00:34:07,680 --> 00:34:12,920 Speaker 1: rise of like, you know, the there's a mega coin cryptocurrency, 629 00:34:12,960 --> 00:34:15,680 Speaker 1: there's a freedom phone. I mean, some of these also 630 00:34:15,719 --> 00:34:21,400 Speaker 1: are just like blatant grifting, right, some are I understand 631 00:34:21,400 --> 00:34:25,960 Speaker 1: the genuine desire, like the cloud storage called right Forge 632 00:34:26,239 --> 00:34:29,080 Speaker 1: after Parlor was shut down because all of these, you know, 633 00:34:29,200 --> 00:34:34,160 Speaker 1: established institutions pulled their their cloud computing support. So I 634 00:34:34,280 --> 00:34:38,640 Speaker 1: understand some of the desire to build out the infrastructure, 635 00:34:38,760 --> 00:34:42,920 Speaker 1: and I also understand that Listen, part of the big 636 00:34:43,040 --> 00:34:46,600 Speaker 1: conflict in American politics right now is that liberals and 637 00:34:46,640 --> 00:34:49,640 Speaker 1: those broadly on the left feel like they're being shut 638 00:34:49,680 --> 00:34:51,920 Speaker 1: out of political power, as evidenced by what's going on 639 00:34:52,000 --> 00:34:55,000 Speaker 1: at the Supreme Court right now, with jerry mandering, with 640 00:34:55,120 --> 00:34:57,919 Speaker 1: the nature of the way that the Senate is set up. 641 00:34:58,239 --> 00:35:02,200 Speaker 1: They feel like they're losing power in political institutions. Conservatives 642 00:35:02,200 --> 00:35:04,480 Speaker 1: feel like they have no power in cultural institutions. So 643 00:35:04,520 --> 00:35:06,640 Speaker 1: there's this instinct of like, hey, let's set up our 644 00:35:06,680 --> 00:35:10,680 Speaker 1: own cultural institutions, let's set up our own universities and 645 00:35:10,760 --> 00:35:13,520 Speaker 1: social media apps and cloud computing and all of this stuff. 646 00:35:13,880 --> 00:35:16,120 Speaker 1: But ultimately, I don't think it leads you where you 647 00:35:16,160 --> 00:35:18,680 Speaker 1: want to go, because elites are not going to follow you. There. 648 00:35:19,840 --> 00:35:24,320 Speaker 1: Some of these apps and social media networks that they mentioned, 649 00:35:24,400 --> 00:35:29,120 Speaker 1: I think would bulk at being labeled as right wing 650 00:35:29,480 --> 00:35:33,680 Speaker 1: or conservative or Trump aligned. And I was actually going 651 00:35:33,760 --> 00:35:36,800 Speaker 1: to push back on the idea that Rumble would fall 652 00:35:37,320 --> 00:35:40,560 Speaker 1: easily in that category, because what they seem to have 653 00:35:40,600 --> 00:35:42,560 Speaker 1: really wanted to put forward in people that you know, 654 00:35:42,600 --> 00:35:45,279 Speaker 1: we know and like, including Glenn Greenwold on that platform, 655 00:35:45,719 --> 00:35:47,440 Speaker 1: is the idea of this is a place where we're 656 00:35:47,440 --> 00:35:49,480 Speaker 1: going to have true free speech. We're not going to 657 00:35:49,520 --> 00:35:52,919 Speaker 1: have these censorship conversations and this instinct to just push 658 00:35:52,960 --> 00:35:55,680 Speaker 1: people out because we don't happen to like their viewpoints. 659 00:35:55,920 --> 00:35:59,320 Speaker 1: But they did just sign a deal with Trump's social 660 00:35:59,360 --> 00:36:02,320 Speaker 1: media company any you know, which is about to be 661 00:36:02,400 --> 00:36:06,799 Speaker 1: led by Devin Nunez. So anyway, that's the direction that 662 00:36:06,800 --> 00:36:09,160 Speaker 1: that seems to be going. That's the direction. And I 663 00:36:09,160 --> 00:36:12,840 Speaker 1: think it's actually sad for the direction of any app 664 00:36:13,280 --> 00:36:16,320 Speaker 1: or platform which is going to call itself free speech 665 00:36:16,480 --> 00:36:19,359 Speaker 1: to allow yourself to get and look and at least 666 00:36:19,400 --> 00:36:21,920 Speaker 1: in the media, to be tagged as pro Trump. That's 667 00:36:21,920 --> 00:36:23,799 Speaker 1: probably the worst thing that could ever happen to free 668 00:36:23,800 --> 00:36:26,680 Speaker 1: speech movement. Yeah, and if you want to be acted 669 00:36:26,800 --> 00:36:29,319 Speaker 1: with free speech, that's not what you want, right. They've 670 00:36:29,320 --> 00:36:33,359 Speaker 1: made concerted efforts to reapt to people across the political spectrum. 671 00:36:33,640 --> 00:36:36,240 Speaker 1: But yeah, in terms, certainly in terms of a media perception, 672 00:36:36,320 --> 00:36:38,239 Speaker 1: it's going to be hard to combat the notion that 673 00:36:38,239 --> 00:36:41,040 Speaker 1: they're just Trump aligned media when they have a deal 674 00:36:41,040 --> 00:36:43,000 Speaker 1: with the Trump social media company. That's that's going to 675 00:36:43,000 --> 00:36:45,279 Speaker 1: be an issue, and I think that that ultimately will 676 00:36:45,280 --> 00:36:48,000 Speaker 1: probably play against their favor, and of course that will 677 00:36:48,080 --> 00:36:51,359 Speaker 1: leverage the ultimate excuse for anybody at the very top 678 00:36:51,440 --> 00:36:53,960 Speaker 1: or you know, for censorious purposes in order to go 679 00:36:54,000 --> 00:36:56,239 Speaker 1: after them or go after any of these platforms, which 680 00:36:56,280 --> 00:36:58,839 Speaker 1: is exactly the opposite of what you want for an 681 00:36:58,880 --> 00:37:03,240 Speaker 1: actual thriving conversation online. All right, let's move on to Ukraine. 682 00:37:03,400 --> 00:37:06,000 Speaker 1: So this is something which we have been following and 683 00:37:06,040 --> 00:37:10,040 Speaker 1: it actually could be an incredibly important development. So there 684 00:37:10,080 --> 00:37:14,719 Speaker 1: have been movements out in Ukraine between Russia tensions. This 685 00:37:14,760 --> 00:37:18,000 Speaker 1: is long simmering stuff, obviously, with the Civil War and 686 00:37:18,040 --> 00:37:20,839 Speaker 1: the Color revolutions and all the stuff that broke out 687 00:37:21,080 --> 00:37:25,400 Speaker 1: back in the twenty tens under Barack Obama, simmering debates 688 00:37:25,400 --> 00:37:28,160 Speaker 1: here in Washington, should we arm the Ukrainians or not 689 00:37:28,760 --> 00:37:31,600 Speaker 1: issue warnings against Putin? It goes to the very heart 690 00:37:31,920 --> 00:37:36,040 Speaker 1: of the original NATO conversations, expanding NATO out into the 691 00:37:36,200 --> 00:37:39,279 Speaker 1: Eastern and the Balkan blocks, the former Soviet states, and 692 00:37:39,280 --> 00:37:42,920 Speaker 1: then even inviting Ukraine but ultimately not accepting them fully 693 00:37:42,920 --> 00:37:46,080 Speaker 1: into the bridge of NATO with increased tension. This has 694 00:37:46,120 --> 00:37:49,000 Speaker 1: now come to the four There have been reports, and 695 00:37:49,320 --> 00:37:53,120 Speaker 1: you always have to parse whether stuff is real or not, 696 00:37:53,160 --> 00:37:55,800 Speaker 1: because there's a lot of disinformation, frankly on both sides 697 00:37:55,800 --> 00:37:59,279 Speaker 1: about whether there's actual troops or whatever coming and amassing 698 00:37:59,520 --> 00:38:02,720 Speaker 1: in Ukraine. But what we do know is this President 699 00:38:02,840 --> 00:38:05,360 Speaker 1: Biden is talking with Putin today, So let's put that 700 00:38:05,440 --> 00:38:08,440 Speaker 1: up there on the screen. Biden is expected to quote 701 00:38:08,480 --> 00:38:12,480 Speaker 1: offer warnings and alternatives in a call with Putin. So 702 00:38:12,880 --> 00:38:15,400 Speaker 1: the fear on the US side, how true it is 703 00:38:15,400 --> 00:38:19,160 Speaker 1: we don't actually know, is that they believe that Putin 704 00:38:19,280 --> 00:38:21,839 Speaker 1: and the Russians are about to make some sort of 705 00:38:21,880 --> 00:38:25,480 Speaker 1: incursion into Ukraine. We don't know if it's all of Ukraine, 706 00:38:25,600 --> 00:38:29,280 Speaker 1: Eastern Ukraine, the more Russian speaking parts of Ukraine, et cetera. 707 00:38:29,640 --> 00:38:32,719 Speaker 1: But what Biden is set to say there is that 708 00:38:32,960 --> 00:38:35,600 Speaker 1: they are doubt they are trying to persuade Putin that 709 00:38:35,640 --> 00:38:41,840 Speaker 1: they will have swift economic responses and more quote consequences 710 00:38:42,280 --> 00:38:46,440 Speaker 1: if Russia were to invade Ukraine. They said, Western allies 711 00:38:46,520 --> 00:38:49,480 Speaker 1: may move to cut Russia off from the international financial 712 00:38:49,520 --> 00:38:54,279 Speaker 1: system and seek direct sanctions on mister Putin's closest associates, 713 00:38:54,320 --> 00:38:57,759 Speaker 1: is what administration officials said. Now, obviously that would be 714 00:38:57,840 --> 00:39:02,000 Speaker 1: a massive blow to Russia. Russia is tremendously dependent on 715 00:39:02,000 --> 00:39:05,240 Speaker 1: the international and global financial system. There deals with Europe. 716 00:39:05,480 --> 00:39:09,600 Speaker 1: Their previous Ukraine incursion had big problems for them in 717 00:39:09,680 --> 00:39:14,120 Speaker 1: terms of Nordstream and international relations on the continent of 718 00:39:14,120 --> 00:39:16,960 Speaker 1: Europe itself, probably set them back by four or five 719 00:39:17,040 --> 00:39:19,759 Speaker 1: years there before things got semi normalized. Obviously they were 720 00:39:19,840 --> 00:39:21,160 Speaker 1: kicked out. I think it was like the G seven 721 00:39:21,239 --> 00:39:24,520 Speaker 1: or the G eight or whatever until Trump eventually became president. 722 00:39:24,800 --> 00:39:26,800 Speaker 1: But what this points to is that there is a 723 00:39:26,880 --> 00:39:30,960 Speaker 1: simmering tension that is coming to four And what Putin, 724 00:39:31,120 --> 00:39:33,759 Speaker 1: and this is from more Russian aligned sources, is said 725 00:39:33,760 --> 00:39:37,880 Speaker 1: to demand from Biden is a pledge crystal that NATO 726 00:39:38,320 --> 00:39:42,400 Speaker 1: will not expand, an actual pledge from Biden publicly that 727 00:39:42,560 --> 00:39:46,520 Speaker 1: NATO is not going to continue to expand eastward as 728 00:39:46,560 --> 00:39:50,279 Speaker 1: in Georgia, Ukraine, Transnistria or whatever. And some of the 729 00:39:50,320 --> 00:39:54,280 Speaker 1: other former Soviet states that aren't already within the NATO Alliance. 730 00:39:54,280 --> 00:39:56,680 Speaker 1: And so it just goes to show you, you know, 731 00:39:56,840 --> 00:39:59,040 Speaker 1: I think some of my most critics will be surprised 732 00:39:59,040 --> 00:40:01,160 Speaker 1: to say this. I think one of the biggest mistakes 733 00:40:01,160 --> 00:40:05,560 Speaker 1: the US ever made was letting in Latvia and Lithuania 734 00:40:05,600 --> 00:40:09,320 Speaker 1: and Estonia into the NATO Alliance, because we literally promised 735 00:40:09,600 --> 00:40:13,080 Speaker 1: the Russians in the nineties for you know, denuclearization or 736 00:40:13,160 --> 00:40:15,799 Speaker 1: you know in Ukraine and you know, lessening of arms 737 00:40:15,800 --> 00:40:19,200 Speaker 1: and allowing in some Western you know, business interests and more, 738 00:40:19,239 --> 00:40:21,160 Speaker 1: that we weren't going to encircle them, which is they're 739 00:40:21,239 --> 00:40:24,799 Speaker 1: like literal centuries long fear. And then we literally did 740 00:40:24,800 --> 00:40:28,480 Speaker 1: it by you know, providing Article five protections right up 741 00:40:28,560 --> 00:40:32,320 Speaker 1: until the Russian border and what is historically contested territory. 742 00:40:33,120 --> 00:40:36,239 Speaker 1: So I do think this is a big thorn in 743 00:40:36,280 --> 00:40:38,840 Speaker 1: the side, obviously of the Russians. It goes to the 744 00:40:38,880 --> 00:40:42,400 Speaker 1: original language inside of Putin's brain as to why he 745 00:40:42,440 --> 00:40:45,239 Speaker 1: has such a defensive attitude towards the West. He kind 746 00:40:45,239 --> 00:40:47,880 Speaker 1: of sees us as liars and tricksters who you know, 747 00:40:47,920 --> 00:40:52,239 Speaker 1: have tricked Russia, you know, when they were down in circle. Yeah, 748 00:40:52,239 --> 00:40:54,080 Speaker 1: I mean, listen, like, if I were them, I'd probably 749 00:40:54,120 --> 00:40:56,960 Speaker 1: feel the same way, especially given that the Czars and 750 00:40:57,000 --> 00:40:59,239 Speaker 1: all these people have always seen defense in depth as 751 00:40:59,280 --> 00:41:02,040 Speaker 1: part of one of the most important parts of what 752 00:41:02,200 --> 00:41:05,239 Speaker 1: was the Soviet Union and previously the Russian Empire. If 753 00:41:05,239 --> 00:41:07,680 Speaker 1: you're not following, really what it is is this. This 754 00:41:07,760 --> 00:41:11,120 Speaker 1: is a long standing tension here in DC over whether 755 00:41:11,280 --> 00:41:14,840 Speaker 1: we should extend collective defense and Article five protections or 756 00:41:14,840 --> 00:41:20,239 Speaker 1: even military force to defending former Soviet states from potential 757 00:41:20,280 --> 00:41:24,080 Speaker 1: military action on the Russians. And that's really what the 758 00:41:24,840 --> 00:41:27,719 Speaker 1: policy that is coming to fore right now in this is, 759 00:41:28,040 --> 00:41:31,680 Speaker 1: and this is what DC is focused on right now 760 00:41:31,760 --> 00:41:34,960 Speaker 1: more than anything else from an international security situation. Yes, 761 00:41:35,040 --> 00:41:37,200 Speaker 1: and listen, I don't pretend to be an expert on 762 00:41:37,400 --> 00:41:41,879 Speaker 1: Ukrainian or Russian history, but this is partly a strategic 763 00:41:42,000 --> 00:41:45,759 Speaker 1: defense question for Putin, and it is partly a historical 764 00:41:45,840 --> 00:41:51,920 Speaker 1: cultural question for Putin and for Russians in general, who believe, 765 00:41:52,000 --> 00:41:55,240 Speaker 1: and Putin has written that Ukraine and Russia are one country. 766 00:41:55,320 --> 00:41:57,640 Speaker 1: There's a lot of shared cultural history in terms of 767 00:41:57,640 --> 00:42:01,000 Speaker 1: the origin of both the Ukrainian state and the Russian state. 768 00:42:01,400 --> 00:42:04,200 Speaker 1: So there's not it goes beyond just sort of a 769 00:42:04,239 --> 00:42:08,000 Speaker 1: tactical strategic defense question for putin to a more sort 770 00:42:08,040 --> 00:42:13,200 Speaker 1: of visceral, emotional cultural question, which makes it extra fraud here. 771 00:42:13,600 --> 00:42:15,880 Speaker 1: And this is one of the areas where you know, 772 00:42:16,080 --> 00:42:20,440 Speaker 1: you see neo cons and warhawks on both sides joining 773 00:42:20,480 --> 00:42:25,319 Speaker 1: he yes, very bipartisan in terms of you know, now, 774 00:42:25,360 --> 00:42:27,399 Speaker 1: there's a lot of beating of the drums, a lot 775 00:42:27,440 --> 00:42:30,560 Speaker 1: of desire to amp up tension with Russia, a lot 776 00:42:30,600 --> 00:42:36,040 Speaker 1: of bipartisan desire to send more lethal aid to the Ukrainians, 777 00:42:36,120 --> 00:42:39,360 Speaker 1: and that sort of direction. We took note of Chris Murphy. 778 00:42:39,719 --> 00:42:45,359 Speaker 1: Murphy who is you know, well, an influential figure in 779 00:42:45,440 --> 00:42:48,400 Speaker 1: terms of the Democratic Party, especially on issues of defense, 780 00:42:48,640 --> 00:42:51,279 Speaker 1: and what he said about pushing to provide lethal aid. 781 00:42:51,320 --> 00:42:53,400 Speaker 1: Let's take a listen to that. Well, right now, we 782 00:42:53,440 --> 00:42:55,840 Speaker 1: have an amendment on the floor of the Senate that 783 00:42:55,920 --> 00:42:59,799 Speaker 1: would dramatically increase the amount of lethal aid. I support it. 784 00:43:00,239 --> 00:43:03,920 Speaker 1: Republicans right now in the Senate are blocking that amendment 785 00:43:03,960 --> 00:43:07,960 Speaker 1: from being considered. In addition, Republicans are blocking our ambassadors 786 00:43:08,000 --> 00:43:10,960 Speaker 1: from being confirmed, in particular to the EU, where a 787 00:43:10,960 --> 00:43:12,680 Speaker 1: lot of this work will be done to try to 788 00:43:12,800 --> 00:43:15,520 Speaker 1: bring our allies together. So we've got to get our 789 00:43:15,560 --> 00:43:18,480 Speaker 1: Republican colleagues to understand this is the threat that many 790 00:43:18,520 --> 00:43:22,239 Speaker 1: of us believe it to be, so again calling it 791 00:43:22,280 --> 00:43:25,280 Speaker 1: a threat and more. One of the most influential essays 792 00:43:25,280 --> 00:43:27,399 Speaker 1: that I ever read was actually in graduate school by 793 00:43:27,400 --> 00:43:30,240 Speaker 1: Steven Walt, and it's called would you die for that country? 794 00:43:30,480 --> 00:43:33,600 Speaker 1: Why the United States States needs to think twice before 795 00:43:33,640 --> 00:43:36,520 Speaker 1: calling Ukraine an ally? And he points to what the 796 00:43:36,560 --> 00:43:39,640 Speaker 1: real implication of Article five means, which is that if 797 00:43:39,640 --> 00:43:42,759 Speaker 1: that country gets invaded, are you willing to fight, die 798 00:43:42,920 --> 00:43:46,279 Speaker 1: and spill American blood for that soil? And if you 799 00:43:46,400 --> 00:43:51,200 Speaker 1: compare US commitment to ukraine historical ties and Russian I 800 00:43:51,239 --> 00:43:54,280 Speaker 1: think I know what wins out. Listen, if you're Ukrainian, 801 00:43:54,360 --> 00:43:56,600 Speaker 1: you're listening to this and you're upset, I get it. 802 00:43:56,920 --> 00:44:00,920 Speaker 1: I honestly I'm sorry, especially because you find yourself as 803 00:44:00,960 --> 00:44:06,240 Speaker 1: a pond between these two large geopolitical not necessarily superpower 804 00:44:06,239 --> 00:44:09,480 Speaker 1: anymore on Russia's part, but whatever larger than life kind 805 00:44:09,480 --> 00:44:12,440 Speaker 1: of state that punches relatively above its economic power and 806 00:44:12,480 --> 00:44:16,000 Speaker 1: weight because of its nuclear capacity. But that is the 807 00:44:16,040 --> 00:44:18,160 Speaker 1: reality when it comes to the question of whether the 808 00:44:18,280 --> 00:44:23,000 Speaker 1: United States should commit military resources to defending Ukraine. To 809 00:44:23,040 --> 00:44:25,759 Speaker 1: be clear, that's not necessarily what Biden is putting on 810 00:44:25,800 --> 00:44:30,320 Speaker 1: the table. But to declare basically all out economic warfare 811 00:44:30,360 --> 00:44:34,080 Speaker 1: on Russia in response to this, perhaps it's on par, 812 00:44:34,440 --> 00:44:39,080 Speaker 1: but it could actually have a converse effect in hardening 813 00:44:39,120 --> 00:44:42,520 Speaker 1: Putin both in what he thinks perhaps that's already the case, 814 00:44:42,880 --> 00:44:45,839 Speaker 1: but really what it could be is it could mark 815 00:44:46,120 --> 00:44:50,120 Speaker 1: the end of any real diplomatic ties between the two nations, 816 00:44:50,200 --> 00:44:53,360 Speaker 1: given how much Putin and his oligarchs need access to 817 00:44:53,400 --> 00:44:56,880 Speaker 1: the international financial system. The other thing that they have 818 00:44:56,960 --> 00:44:59,320 Speaker 1: to balance is that they're desperate to try and get 819 00:44:59,560 --> 00:45:02,440 Speaker 1: back into the Iran Deal, and the Russians have a 820 00:45:02,480 --> 00:45:07,480 Speaker 1: lot of influence over Iran and were part obviously of 821 00:45:07,520 --> 00:45:11,480 Speaker 1: the JCPOA. So if they don't have any incentive in 822 00:45:11,560 --> 00:45:14,680 Speaker 1: order to work and towards the US and try and 823 00:45:14,719 --> 00:45:17,240 Speaker 1: push it to more's there, they can make life difficult 824 00:45:17,239 --> 00:45:20,000 Speaker 1: for US. Is more what I'm saying. In many other respects, 825 00:45:20,080 --> 00:45:23,600 Speaker 1: they are still a large power in Eastern Europe, and 826 00:45:23,640 --> 00:45:27,360 Speaker 1: of course they have massive business interests with Germany and 827 00:45:27,400 --> 00:45:30,120 Speaker 1: many of other other so called allies. Or would they 828 00:45:30,239 --> 00:45:32,680 Speaker 1: really be willing to push the button when it came 829 00:45:32,719 --> 00:45:34,799 Speaker 1: to this. All I'm saying is that this is just 830 00:45:34,880 --> 00:45:37,680 Speaker 1: opens up a lot of very sore wounds of US 831 00:45:37,680 --> 00:45:41,000 Speaker 1: policy with NATO, and I think I personally will always 832 00:45:41,000 --> 00:45:44,360 Speaker 1: think the original sin was expanding outside of the original 833 00:45:44,480 --> 00:45:48,480 Speaker 1: NATO alliance, including the Balkan States, or sorry, including the 834 00:45:48,520 --> 00:45:52,680 Speaker 1: Baltic states like Lithuania, Latvia, and Estonia. I understand, I've 835 00:45:52,680 --> 00:45:55,719 Speaker 1: been to those countries. They're beautiful places, but extending Article 836 00:45:55,760 --> 00:45:58,120 Speaker 1: five protection to them, in my opinion, was a much 837 00:45:58,360 --> 00:46:00,360 Speaker 1: a bridge too far and actually put us on the 838 00:46:00,400 --> 00:46:02,399 Speaker 1: road to the type of confrontation we're at right now. 839 00:46:02,440 --> 00:46:04,520 Speaker 1: There's a couple of other pieces there. It's not just 840 00:46:04,560 --> 00:46:07,680 Speaker 1: the Iran nuclear deal, as you alluded to, but also 841 00:46:07,719 --> 00:46:10,160 Speaker 1: the US really wants to work with Russia on climate change, 842 00:46:10,200 --> 00:46:12,479 Speaker 1: which you know, I certainly considered to be a top 843 00:46:12,520 --> 00:46:16,840 Speaker 1: priority in Russia has lots of oil and natural gas 844 00:46:17,080 --> 00:46:19,960 Speaker 1: petro state. Yeah, right, so this is, you know, this 845 00:46:20,120 --> 00:46:23,480 Speaker 1: is very significant getting them to play ball on climate change. 846 00:46:23,600 --> 00:46:26,200 Speaker 1: There's another thing that's kind of interesting that I was 847 00:46:26,239 --> 00:46:30,040 Speaker 1: reading about, which is that Putin's very aggressive and militaristic 848 00:46:30,160 --> 00:46:33,759 Speaker 1: posture towards Ukraine has really in a sense backfired for 849 00:46:33,840 --> 00:46:37,880 Speaker 1: him as well, because the number support for joining NATO 850 00:46:38,400 --> 00:46:42,560 Speaker 1: among Ukrainians rose from fourteen percent in twenty twelve to 851 00:46:42,719 --> 00:46:47,880 Speaker 1: a majority fifty four percent now, So his position in 852 00:46:48,000 --> 00:46:53,719 Speaker 1: posturing and annexing of crimea that has also backfired in 853 00:46:53,800 --> 00:46:56,360 Speaker 1: terms of, you know, public sentiment. Whereas before they were like, 854 00:46:56,400 --> 00:46:58,560 Speaker 1: now we're good without NATO, Now there's a majority of 855 00:46:58,560 --> 00:47:02,000 Speaker 1: the population that does in fact want to join NATO. 856 00:47:02,520 --> 00:47:04,360 Speaker 1: The last thing we can put here is in terms 857 00:47:04,400 --> 00:47:08,160 Speaker 1: of the sort of saber rattling and escalating tensions, there 858 00:47:08,160 --> 00:47:10,359 Speaker 1: are reports that Russia has we can put this tear 859 00:47:10,400 --> 00:47:12,480 Speaker 1: sheet up on the screen. This from the Military Times 860 00:47:12,800 --> 00:47:15,480 Speaker 1: reports that Russia has more than ninety two thousand troops 861 00:47:15,480 --> 00:47:18,560 Speaker 1: and master around Ukraine's borders. There are estimates from the 862 00:47:18,680 --> 00:47:20,799 Speaker 1: US intelligence that it could go up to as much 863 00:47:20,840 --> 00:47:23,759 Speaker 1: as one hundred and seventy five thousand by January, and 864 00:47:24,560 --> 00:47:29,080 Speaker 1: Ukraine believes Russia is preparing to attack them by late 865 00:47:29,120 --> 00:47:31,359 Speaker 1: Generator to tayoy ready salt. That's at least what they're 866 00:47:31,400 --> 00:47:33,759 Speaker 1: putting out there publicly, I think, you know, I mean, 867 00:47:33,800 --> 00:47:35,719 Speaker 1: in part that could very much be to sort of 868 00:47:36,000 --> 00:47:38,680 Speaker 1: gave up the pressure trying to pressure here and wash. Yeah, 869 00:47:38,680 --> 00:47:41,200 Speaker 1: they're trying to pressure the US to send that lethal 870 00:47:41,239 --> 00:47:43,279 Speaker 1: aid and have their back and all of those things. 871 00:47:43,280 --> 00:47:45,279 Speaker 1: So that's the sort of posturing that's going on, very 872 00:47:45,360 --> 00:47:47,560 Speaker 1: high stakes call today between Biden and Putin, and we'll 873 00:47:47,600 --> 00:47:49,600 Speaker 1: see what comes of it. Yeah, certainly, But I think 874 00:47:49,600 --> 00:47:51,600 Speaker 1: everybody should be aware of this. These types of things 875 00:47:51,640 --> 00:47:54,160 Speaker 1: can simmer below the surface and then they can explode 876 00:47:54,400 --> 00:47:56,960 Speaker 1: all at once, and things can move very very quickly 877 00:47:57,000 --> 00:48:01,160 Speaker 1: in terms of military conflict, fallout in the global financial system, 878 00:48:01,600 --> 00:48:06,040 Speaker 1: fallout in the European continent, into how that all would affect. Remember, 879 00:48:06,040 --> 00:48:08,920 Speaker 1: the Russians have a tremendous impact on gas prices and 880 00:48:09,000 --> 00:48:14,080 Speaker 1: natural gas as well, So this could be a conflagration geopolitically, 881 00:48:14,200 --> 00:48:16,560 Speaker 1: and we should all watch it very closely. I'm hoping 882 00:48:16,600 --> 00:48:19,880 Speaker 1: that the Biden administration in them use their diplomatic process 883 00:48:20,000 --> 00:48:23,760 Speaker 1: or to lower tensions out there in Ukraine and see 884 00:48:24,000 --> 00:48:27,400 Speaker 1: and actually hear what's happening, not to succumb to the 885 00:48:27,960 --> 00:48:31,560 Speaker 1: chest beating here in DC over Ukraine and NATO and 886 00:48:31,600 --> 00:48:34,359 Speaker 1: all that other stuff. So we'll see. Okay, let's move 887 00:48:34,360 --> 00:48:37,560 Speaker 1: on to our fun segment. One of my particular favorites. 888 00:48:37,880 --> 00:48:41,759 Speaker 1: A new survey confirming what we already know, Democrats fall 889 00:48:41,800 --> 00:48:45,520 Speaker 1: flat with LATINX language. Put this up there from Politico. 890 00:48:46,360 --> 00:48:49,720 Speaker 1: So as Democrats seek to reach out to Latino voters 891 00:48:49,920 --> 00:48:53,160 Speaker 1: in a more gender neutral way, they've increasingly begun using 892 00:48:53,200 --> 00:48:56,080 Speaker 1: the words LATINX, a term that first began to get 893 00:48:56,080 --> 00:48:59,120 Speaker 1: traction among academic and activists on the left. This is 894 00:48:59,120 --> 00:49:03,799 Speaker 1: from Politico. But that very effort could be counterproductive in 895 00:49:03,920 --> 00:49:08,120 Speaker 1: courting those of Latin American descent. A new nationwide poll 896 00:49:08,160 --> 00:49:11,200 Speaker 1: of Hispanic voters showed let's put this next tweet up 897 00:49:11,239 --> 00:49:15,000 Speaker 1: there because it actually summarizes it quite well. Only two 898 00:49:15,080 --> 00:49:19,840 Speaker 1: percent of those polled referred to themselves as LATINX, sixty 899 00:49:19,920 --> 00:49:24,800 Speaker 1: eight percent call themselves Hispanic, twenty one percent actually favored 900 00:49:25,040 --> 00:49:29,960 Speaker 1: Latino or Latina to describe their ethnic background. According to 901 00:49:30,000 --> 00:49:34,680 Speaker 1: a Democratic firm specializing in Latino outrage, which polled a 902 00:49:34,800 --> 00:49:38,480 Speaker 1: huge cross section of the entire country, and what they 903 00:49:38,480 --> 00:49:41,560 Speaker 1: point to is the number suggests that using LATINX is 904 00:49:41,600 --> 00:49:45,560 Speaker 1: actually a violation of a political hippocratic oath, which is, first, 905 00:49:45,800 --> 00:49:48,760 Speaker 1: do no electoral harm. Why are we using a word 906 00:49:49,000 --> 00:49:51,960 Speaker 1: that is preferred only by two percent, but offends as 907 00:49:52,000 --> 00:49:55,520 Speaker 1: many as forty percent of the voters that we want 908 00:49:55,520 --> 00:49:59,200 Speaker 1: to win. And it's amazing because I, you know, these terms, 909 00:49:59,280 --> 00:50:01,520 Speaker 1: they could come out of nowhere. Yes, I we were 910 00:50:01,560 --> 00:50:03,840 Speaker 1: talking you about this yesterday. I did a little research 911 00:50:03,840 --> 00:50:06,120 Speaker 1: after we talked with like where did this come from? Yes? 912 00:50:06,320 --> 00:50:10,240 Speaker 1: And no one really knows. Okay, there's some theories. It's like, bipop, 913 00:50:10,520 --> 00:50:13,640 Speaker 1: where the hell did this shit go? That has that 914 00:50:13,680 --> 00:50:17,000 Speaker 1: you can actually trace back to particular intellectuals that an 915 00:50:17,000 --> 00:50:21,200 Speaker 1: active but latinx It first appeared online in I think 916 00:50:21,239 --> 00:50:24,160 Speaker 1: two thousand and four, but no one really used it. 917 00:50:24,160 --> 00:50:26,799 Speaker 1: It was like, had one mention and then some other 918 00:50:26,840 --> 00:50:29,239 Speaker 1: people say no, No, it originated in chat rooms in 919 00:50:29,280 --> 00:50:34,120 Speaker 1: the nineties, but it didn't really gain traction until the 920 00:50:34,200 --> 00:50:38,680 Speaker 1: twenty tens. And yeah, so there was no sort of 921 00:50:38,719 --> 00:50:42,040 Speaker 1: like gathering of the minds and consensus around this and 922 00:50:42,400 --> 00:50:45,040 Speaker 1: so what this is. Look, this is not the reason 923 00:50:45,480 --> 00:50:49,120 Speaker 1: the reason why Democrats have been losing ground with Latinos, 924 00:50:49,640 --> 00:50:54,640 Speaker 1: but I think it is symbolic of a larger sense 925 00:50:54,920 --> 00:50:58,680 Speaker 1: among working class Latinos that this is like the Democratic 926 00:50:58,760 --> 00:51:03,279 Speaker 1: Party is full of elites, yes, who are culturally out 927 00:51:03,280 --> 00:51:06,480 Speaker 1: of touch with them and forcing on them language that 928 00:51:06,520 --> 00:51:10,080 Speaker 1: they themselves don't like or use wants and in fact 929 00:51:10,200 --> 00:51:13,239 Speaker 1: find it offensive. Yes, and that there's this sort of 930 00:51:13,320 --> 00:51:15,520 Speaker 1: you know, the same look. It's the same dynamic that 931 00:51:15,560 --> 00:51:18,080 Speaker 1: the white working class in some instances has had with 932 00:51:18,120 --> 00:51:20,600 Speaker 1: the Democratic Party, where they feel a sense of snaring contempt. 933 00:51:20,640 --> 00:51:22,920 Speaker 1: And so even people who may be aligned on certain 934 00:51:22,960 --> 00:51:27,080 Speaker 1: issues both economically and in some instances culturally, feel like 935 00:51:27,120 --> 00:51:29,359 Speaker 1: there's no place for them in the Democratic Party. That's 936 00:51:29,440 --> 00:51:32,640 Speaker 1: just looking down their nose and like enforcing activist language 937 00:51:32,640 --> 00:51:35,200 Speaker 1: on them. So that's the real problem. It's not the 938 00:51:35,280 --> 00:51:38,320 Speaker 1: issue for Democrats. It is symbolic of a larger problem 939 00:51:38,400 --> 00:51:41,160 Speaker 1: for Democrats. I would say maybe I always understood this 940 00:51:41,160 --> 00:51:43,480 Speaker 1: because I grew up in Texas, where there are you know, 941 00:51:43,640 --> 00:51:47,640 Speaker 1: generations of people who are you know, Mexican American, but 942 00:51:48,320 --> 00:51:50,480 Speaker 1: or a lot you know who are Hispanic, but a 943 00:51:50,600 --> 00:51:55,520 Speaker 1: fourth maybe fifth generation. They consider themselves, you know, yes, Hispanic, 944 00:51:55,840 --> 00:51:58,920 Speaker 1: and they have very very like set traditions. But it's 945 00:51:59,120 --> 00:52:03,520 Speaker 1: like a Teihana kind of there's a Tejano way about 946 00:52:03,520 --> 00:52:06,600 Speaker 1: it where it's not necessarily Mexican. It's not like white 947 00:52:06,640 --> 00:52:10,680 Speaker 1: Texan either, it's its own unique identity and those people 948 00:52:10,719 --> 00:52:13,520 Speaker 1: who I know have always been very offended by the 949 00:52:13,600 --> 00:52:16,160 Speaker 1: idea that they only care about you know, illegal immigration 950 00:52:16,400 --> 00:52:19,000 Speaker 1: or DACA or something like that, when they themselves have 951 00:52:19,280 --> 00:52:21,799 Speaker 1: maybe the same concerns on an immigration or a lot 952 00:52:21,800 --> 00:52:24,600 Speaker 1: of them are just working class and just want like 953 00:52:24,640 --> 00:52:27,520 Speaker 1: a better job and a life and don't really see 954 00:52:27,560 --> 00:52:33,920 Speaker 1: themselves in this prevailing international or national narrative around where 955 00:52:34,080 --> 00:52:37,040 Speaker 1: you know, how they feel in respect to one thing 956 00:52:37,120 --> 00:52:38,719 Speaker 1: or the other. You know, we saw a lot of 957 00:52:38,719 --> 00:52:43,120 Speaker 1: this with Puerto Rico, right like the hurricane in Puerto Rico, 958 00:52:43,360 --> 00:52:47,080 Speaker 1: where you actually saw in Florida that Rick Scott, the 959 00:52:47,120 --> 00:52:51,440 Speaker 1: Senator there one big with Puerto Ricans in the twenty 960 00:52:51,520 --> 00:52:55,040 Speaker 1: twenty Senate election. And one of the reasons why is 961 00:52:55,080 --> 00:52:59,640 Speaker 1: because he ran against Trump's response to the hurricane. But 962 00:52:59,719 --> 00:53:03,200 Speaker 1: also so there was polling that Puerto Rican aid for 963 00:53:03,239 --> 00:53:06,799 Speaker 1: the hurricane also didn't pull that well necessarily with other 964 00:53:06,960 --> 00:53:09,560 Speaker 1: Hispanic groups, and so it was, you know, once again 965 00:53:09,840 --> 00:53:13,279 Speaker 1: the perfect example of talking to people as if they're 966 00:53:13,320 --> 00:53:17,160 Speaker 1: a single group. There are Dominican Americans, there are Puerto 967 00:53:17,239 --> 00:53:19,160 Speaker 1: Ricans who've been living in New York for like over 968 00:53:19,200 --> 00:53:22,239 Speaker 1: one hundred years, much longer than my family has been 969 00:53:22,280 --> 00:53:25,000 Speaker 1: in the US who have their own traditions. I mean, 970 00:53:25,120 --> 00:53:30,280 Speaker 1: there are just so many different Venezuelan Americans, Colombian Americans, 971 00:53:30,320 --> 00:53:33,200 Speaker 1: Brazilian America. They don't even speak in Spanish necessarily, so 972 00:53:33,239 --> 00:53:35,800 Speaker 1: it's like you have all these different groups. Especially I 973 00:53:35,840 --> 00:53:38,919 Speaker 1: think you see this down in Florida and the way 974 00:53:38,960 --> 00:53:43,400 Speaker 1: that then manifests itself, even in the difference between people 975 00:53:43,480 --> 00:53:47,800 Speaker 1: who are Mexican of descent and live in California versus 976 00:53:47,800 --> 00:53:52,200 Speaker 1: of Mexican descent and live here in Washington, DC or Virginia. 977 00:53:52,560 --> 00:53:54,560 Speaker 1: All of this is just a very long winded way 978 00:53:54,600 --> 00:53:58,680 Speaker 1: of saying that try to talk to the higher ideals 979 00:53:59,080 --> 00:54:03,560 Speaker 1: of what most people want that crosses all races and 980 00:54:03,600 --> 00:54:07,759 Speaker 1: all demographics, rather than using these ridiculous terms like we 981 00:54:07,760 --> 00:54:11,200 Speaker 1: were talking, you know, BIPOC. Another one was women with 982 00:54:11,280 --> 00:54:14,560 Speaker 1: an X and I just looked at it, like wmx N. 983 00:54:15,080 --> 00:54:16,879 Speaker 1: I think that's just a joke, isn't it. I don't 984 00:54:16,880 --> 00:54:19,400 Speaker 1: think so. I mean, look, it has its own Wikipedia page, 985 00:54:19,800 --> 00:54:22,200 Speaker 1: so you take that for what it means. I think 986 00:54:22,360 --> 00:54:25,040 Speaker 1: I think part it's actually very interesting conversation because I 987 00:54:25,040 --> 00:54:28,080 Speaker 1: think part of the problem for the Democratic Party is 988 00:54:28,120 --> 00:54:32,600 Speaker 1: that almost all with the exception of like Chuck Roach, 989 00:54:32,680 --> 00:54:37,000 Speaker 1: and that's literally it. Of their consultant class come from 990 00:54:37,280 --> 00:54:40,960 Speaker 1: middle class or upper middle class backgrounds, went to fancy schools, 991 00:54:41,320 --> 00:54:43,359 Speaker 1: and so it may not be that they don't know 992 00:54:43,480 --> 00:54:46,560 Speaker 1: any Black people or don't know any Latino people, but 993 00:54:46,800 --> 00:54:49,120 Speaker 1: that the people that they have met are of a 994 00:54:49,160 --> 00:54:52,560 Speaker 1: similar class status to them by and large, and so 995 00:54:52,680 --> 00:54:56,680 Speaker 1: there's a lack of connectivity to that you know, broader 996 00:54:56,760 --> 00:55:01,440 Speaker 1: conversation and all the complexities of those communities. Instead, everybody 997 00:55:01,440 --> 00:55:05,160 Speaker 1: gets lumped into something called the black community, which you know, 998 00:55:05,239 --> 00:55:08,319 Speaker 1: there's more of a sort of shared historical roots there. 999 00:55:08,360 --> 00:55:10,360 Speaker 1: You could kind of make that one makes sense maybe 1000 00:55:10,480 --> 00:55:13,200 Speaker 1: even though we know within the African American community there 1001 00:55:13,280 --> 00:55:18,000 Speaker 1: is a massive diversity of views of you know, and 1002 00:55:18,480 --> 00:55:21,920 Speaker 1: positions and ideologies. But then it makes even less sense 1003 00:55:22,320 --> 00:55:25,680 Speaker 1: when you try to combine this, wrap your arms around 1004 00:55:25,680 --> 00:55:28,400 Speaker 1: this thing and call it the Latino community when you 1005 00:55:28,480 --> 00:55:35,480 Speaker 1: have incredibly varied histories and backgrounds and geography and class 1006 00:55:35,520 --> 00:55:39,040 Speaker 1: status in all of those things, it makes no sense. 1007 00:55:39,520 --> 00:55:44,200 Speaker 1: And so it's actually i mean, look, latinx is again 1008 00:55:44,239 --> 00:55:46,960 Speaker 1: it's a symbol of the problem, but it's actually offensive 1009 00:55:47,000 --> 00:55:50,320 Speaker 1: and racist to assume that this entire group of people 1010 00:55:50,760 --> 00:55:53,640 Speaker 1: is going to respond to just your view of what 1011 00:55:53,800 --> 00:55:57,000 Speaker 1: their interest should be, of your like identity based view 1012 00:55:57,480 --> 00:56:00,799 Speaker 1: of what their narrow interest should be. And so that's 1013 00:56:00,840 --> 00:56:04,680 Speaker 1: the pitfall that Democrats have really fallen into, especially with 1014 00:56:04,760 --> 00:56:08,040 Speaker 1: the Latino community. But you also see some a little 1015 00:56:08,080 --> 00:56:11,880 Speaker 1: bit of erosion with the Black community as well, where 1016 00:56:11,800 --> 00:56:15,799 Speaker 1: there's a similar sort of mono view of what those 1017 00:56:15,880 --> 00:56:19,080 Speaker 1: people would want in their politics. I think that doesn't 1018 00:56:19,160 --> 00:56:23,400 Speaker 1: reflect the actual diversity of viewpoints and just you know 1019 00:56:23,520 --> 00:56:25,360 Speaker 1: the fact that they're trying to live their lives and 1020 00:56:25,400 --> 00:56:27,200 Speaker 1: have a job in future for their kids, just like 1021 00:56:27,320 --> 00:56:29,439 Speaker 1: literally everybody else. No, you're right. I think we saw 1022 00:56:29,440 --> 00:56:31,920 Speaker 1: this young Black men in particular. I think it was 1023 00:56:31,920 --> 00:56:34,800 Speaker 1: like eighteen something percent or whoever voted for Trump. Doesn't 1024 00:56:34,800 --> 00:56:36,759 Speaker 1: sound like a lot, but that's like double what it 1025 00:56:36,840 --> 00:56:39,960 Speaker 1: was for the elder demographic. And you saw again that 1026 00:56:40,000 --> 00:56:43,040 Speaker 1: there's a lot less actually party loyalty amongst young Black 1027 00:56:43,040 --> 00:56:48,000 Speaker 1: Americans in general towards their faithful view of the Democratic 1028 00:56:48,040 --> 00:56:50,799 Speaker 1: Party very much again in dispute whenever you look at 1029 00:56:50,840 --> 00:56:53,560 Speaker 1: older black voters. So you put all that together, and 1030 00:56:53,719 --> 00:56:57,160 Speaker 1: what you're seeing is that the best way in order 1031 00:56:57,200 --> 00:57:00,440 Speaker 1: to communicate with any racial group is to try and 1032 00:57:00,480 --> 00:57:03,400 Speaker 1: speak to what every racial group has to worry about, 1033 00:57:03,600 --> 00:57:07,040 Speaker 1: which is what's going on with your job. Do you 1034 00:57:07,120 --> 00:57:09,840 Speaker 1: have the ability to provide a better life for your children? 1035 00:57:10,080 --> 00:57:13,080 Speaker 1: And do you have the at least hope of being 1036 00:57:13,200 --> 00:57:16,120 Speaker 1: more prosperous than the people who came before you. It's 1037 00:57:16,120 --> 00:57:19,880 Speaker 1: actually really not complicated. And by diving and making it 1038 00:57:19,920 --> 00:57:23,080 Speaker 1: all into these cross sections and trying to speak and 1039 00:57:23,200 --> 00:57:26,560 Speaker 1: you know, even homogenize an entire group which are very different, 1040 00:57:26,760 --> 00:57:30,040 Speaker 1: it's very offensive and it's politically counterintuitive. So, like you said, 1041 00:57:30,240 --> 00:57:32,360 Speaker 1: this is just the tip of the iceberg. Yeah, of 1042 00:57:32,360 --> 00:57:35,720 Speaker 1: what the real problem is. Language does really matter. It 1043 00:57:35,760 --> 00:57:39,880 Speaker 1: matters a lot, So I get why activists think a 1044 00:57:39,920 --> 00:57:44,760 Speaker 1: lot about language. But instead of trying to adopt language 1045 00:57:44,800 --> 00:57:48,200 Speaker 1: that would be broadly appealing and try to make the 1046 00:57:48,200 --> 00:57:51,880 Speaker 1: case for your positions to the broadest possible audience, which 1047 00:57:51,920 --> 00:57:54,280 Speaker 1: is the goal when you want to have coalitions and 1048 00:57:54,320 --> 00:57:58,240 Speaker 1: win power, that should ultimately be the goal. Instead, there's 1049 00:57:58,280 --> 00:58:02,240 Speaker 1: this fetishizing of a sort of like faux radicalism, where 1050 00:58:02,440 --> 00:58:05,640 Speaker 1: you want to use the in group language to signal 1051 00:58:05,760 --> 00:58:10,000 Speaker 1: your own sort of status and moral purity rather than 1052 00:58:10,080 --> 00:58:13,720 Speaker 1: wanting to build these broader coalitions. There's more clout to 1053 00:58:13,800 --> 00:58:18,000 Speaker 1: be gained, there's more positions to advance if you lean 1054 00:58:18,040 --> 00:58:21,080 Speaker 1: in that direction, which is ultimately kind of, you know, 1055 00:58:21,160 --> 00:58:23,760 Speaker 1: kind of isolating. So, as I said before, we have 1056 00:58:23,880 --> 00:58:26,320 Speaker 1: the discussion about conservative media and the dangers of a 1057 00:58:26,360 --> 00:58:29,640 Speaker 1: siloing there and the sort of conversations and rabbit holes 1058 00:58:29,640 --> 00:58:32,440 Speaker 1: that can be disconnected from what most people are thinking about. 1059 00:58:32,760 --> 00:58:35,520 Speaker 1: Same danger exists on both sides of the political spectrum, 1060 00:58:35,800 --> 00:58:39,040 Speaker 1: and I think it's particularly a danger now in you know, 1061 00:58:39,200 --> 00:58:42,360 Speaker 1: the social media age, where it's very easily easy to 1062 00:58:42,480 --> 00:58:45,880 Speaker 1: find those groups of affinity and narrow your self down, 1063 00:58:45,920 --> 00:58:48,360 Speaker 1: and narrow yourself down, and narrow yourself down until you're 1064 00:58:48,360 --> 00:58:50,320 Speaker 1: literally just talking to a set of like a thousand 1065 00:58:50,400 --> 00:58:55,120 Speaker 1: activists online. Very true, Crystal, what are you taking a 1066 00:58:55,160 --> 00:58:57,880 Speaker 1: look at? So? Friends? Over the past couple of days, 1067 00:58:57,920 --> 00:59:01,280 Speaker 1: I've been listening to the Huma Abdeen memoir It's called 1068 00:59:01,320 --> 00:59:04,360 Speaker 1: Both and a Life in Many Worlds. I'd already watched Wiener, 1069 00:59:04,440 --> 00:59:06,720 Speaker 1: the documentary about her husband's aborted attempt at to come 1070 00:59:06,720 --> 00:59:08,640 Speaker 1: back when he got caught yet again sexting a bunch 1071 00:59:08,680 --> 00:59:11,880 Speaker 1: of random Internet ladies, including a fifteen year old girl. 1072 00:59:12,440 --> 00:59:15,080 Speaker 1: I'd already read the pre released excerpts from Huma's book 1073 00:59:15,120 --> 00:59:17,720 Speaker 1: detailing where she was and how it rocked her when 1074 00:59:17,720 --> 00:59:20,800 Speaker 1: these repeated betrayals became front page news, so I wasn't 1075 00:59:20,800 --> 00:59:23,440 Speaker 1: actually all that interested in the Anthony Wiener part of 1076 00:59:23,440 --> 00:59:26,200 Speaker 1: the Huma Abodin story. What I was really after was 1077 00:59:26,240 --> 00:59:29,400 Speaker 1: a glimpse behind the curtain of Clinton power. After all, 1078 00:59:29,520 --> 00:59:32,200 Speaker 1: as I argued last week, few people have helped to 1079 00:59:32,360 --> 00:59:36,040 Speaker 1: architect our present political moment as directly as Bill and 1080 00:59:36,120 --> 00:59:39,920 Speaker 1: Hillary Clinton. From Bill cementing of the Democratic Party as 1081 00:59:39,960 --> 00:59:44,040 Speaker 1: a thoroughly neoliberal organ shipping jobs overseas, undercutting unions, and 1082 00:59:44,040 --> 00:59:48,000 Speaker 1: embracing white collar professionals, to Hillary pushing an elaborate Russian 1083 00:59:48,000 --> 00:59:51,240 Speaker 1: hoax in order to distract from her own painful political losses. 1084 00:59:51,760 --> 00:59:55,840 Speaker 1: We live in the political world that the Clinton's birthed. Huma. 1085 00:59:56,000 --> 00:59:57,920 Speaker 1: She was there for all of it. She started as 1086 00:59:57,920 --> 00:59:59,960 Speaker 1: an intern in the First Lady's office during the u 1087 01:00:00,120 --> 01:00:02,960 Speaker 1: first Clinton term. She was there for the Lewinsky scandal, 1088 01:00:03,000 --> 01:00:05,960 Speaker 1: for Hillary's decision to stay with Bill, for Hillary's Senate run, 1089 01:00:06,000 --> 01:00:09,240 Speaker 1: her terrible Iraq War vote, her loss to Obama. Homa 1090 01:00:09,360 --> 01:00:11,680 Speaker 1: was by HRC's side as she flew around the globe, 1091 01:00:11,720 --> 01:00:14,480 Speaker 1: meeting with world leaders, as her family foundation raised money 1092 01:00:14,640 --> 01:00:17,120 Speaker 1: from some of the very same global elites whose lives 1093 01:00:17,120 --> 01:00:20,600 Speaker 1: and fortunes could be impacted by State Department policy. She 1094 01:00:20,720 --> 01:00:22,960 Speaker 1: was there from Penghazi and the private server, and the 1095 01:00:23,040 --> 01:00:25,960 Speaker 1: DNC rigging and WikiLeaks and Pokemon go to the polls 1096 01:00:26,000 --> 01:00:28,840 Speaker 1: and the devastating loss to Trump. She was there for 1097 01:00:29,000 --> 01:00:33,440 Speaker 1: all of it. Surely her memoir would contain some shred 1098 01:00:33,480 --> 01:00:37,200 Speaker 1: of honesty, however accidental, about the Clintons and their lifelong 1099 01:00:37,280 --> 01:00:41,960 Speaker 1: quest for power and elite status. Nope, not at all. Instead, 1100 01:00:42,040 --> 01:00:45,640 Speaker 1: Huma offers a Disney storybook version of her many years 1101 01:00:45,680 --> 01:00:48,960 Speaker 1: serving the Clintons in general and Hillary in particular. It 1102 01:00:49,040 --> 01:00:52,840 Speaker 1: is a whitewashing so thorough and so brazen one actually 1103 01:00:52,920 --> 01:00:56,080 Speaker 1: has to marvel at it. The closest that Huma comes 1104 01:00:56,120 --> 01:00:59,400 Speaker 1: to even the whiff of a criticism of HRC was 1105 01:00:59,400 --> 01:01:01,600 Speaker 1: recounting how one time, as a young staffer, she was 1106 01:01:01,640 --> 01:01:05,520 Speaker 1: gruffly and angrily rebuked by Hillary because Huma had committed 1107 01:01:05,520 --> 01:01:08,240 Speaker 1: the sin of failing to fill up Hillary's plate at 1108 01:01:08,280 --> 01:01:11,880 Speaker 1: a fundraiser dinner, but only A few hours later, Hillary 1109 01:01:11,880 --> 01:01:14,840 Speaker 1: apologized to Huma, turning this potentially negative story into a 1110 01:01:14,880 --> 01:01:18,720 Speaker 1: parable about how even when exhausted and frustrated, Hillary always 1111 01:01:18,840 --> 01:01:22,160 Speaker 1: ultimately does the right thing. And that's it. The rest 1112 01:01:22,200 --> 01:01:24,560 Speaker 1: of the book is nothing but wonder in awe at 1113 01:01:24,640 --> 01:01:28,000 Speaker 1: Hillary Rodham Clinton. Any failings were the fault of other people, 1114 01:01:28,160 --> 01:01:30,040 Speaker 1: or the press, or even the fault of Huma and 1115 01:01:30,080 --> 01:01:33,800 Speaker 1: her fellow aides. In Huma's telling, Hillary could never fail, 1116 01:01:33,920 --> 01:01:36,320 Speaker 1: only be failed. To give you a feel, let me 1117 01:01:36,360 --> 01:01:39,120 Speaker 1: just walk you through some of how Huma spins Hillary's 1118 01:01:39,160 --> 01:01:41,720 Speaker 1: loss to Obama back in two thousand and eight. So 1119 01:01:41,840 --> 01:01:44,760 Speaker 1: you will recall that an HRC's primary versus Obama, while 1120 01:01:44,760 --> 01:01:47,840 Speaker 1: the youthful Change candidate was easily lapping up money online 1121 01:01:47,840 --> 01:01:51,080 Speaker 1: from young voters energized by his message, Hillary was stuck 1122 01:01:51,120 --> 01:01:54,520 Speaker 1: working the old Democratic elite donor circuits, raising dollars one 1123 01:01:54,560 --> 01:01:57,240 Speaker 1: bad chicken dinner at a time. So here's the spin 1124 01:01:57,280 --> 01:02:01,760 Speaker 1: that Humah put on this particular predicament quote. HRC made 1125 01:02:01,760 --> 01:02:04,720 Speaker 1: the decision not to seed any state, to meet every 1126 01:02:04,880 --> 01:02:07,320 Speaker 1: voter where she could to raise the millions needed to 1127 01:02:07,320 --> 01:02:10,640 Speaker 1: fund our massive operation. We set aside an extraordinary amount 1128 01:02:10,680 --> 01:02:13,480 Speaker 1: of time for fundraisers. In the first four months of fundraising, 1129 01:02:13,520 --> 01:02:17,560 Speaker 1: we crushed the competition. While online fundraising was beginning to 1130 01:02:17,600 --> 01:02:21,160 Speaker 1: gain steam and Obama in particular was beginning to benefit greatly. 1131 01:02:21,560 --> 01:02:24,720 Speaker 1: With HRC, we found that supporters wanted to see her, 1132 01:02:25,160 --> 01:02:30,520 Speaker 1: touch her, talk to her. Uh No, HRC didn't fail 1133 01:02:30,600 --> 01:02:33,920 Speaker 1: at online fundraising because her supporters were somehow more tactile 1134 01:02:34,000 --> 01:02:36,600 Speaker 1: than Obama's. It's because they were all part of the 1135 01:02:36,720 --> 01:02:40,320 Speaker 1: established donor class. They had a transactional expectation of an 1136 01:02:40,320 --> 01:02:42,720 Speaker 1: askissing phone call in a photo with the candidate that 1137 01:02:42,720 --> 01:02:44,520 Speaker 1: they could use to show off to their rich friends. 1138 01:02:44,880 --> 01:02:49,880 Speaker 1: Others wanted White House access for directly corrupt and transactional reasons. Meanwhile, 1139 01:02:49,920 --> 01:02:52,480 Speaker 1: young voters who were giving online were sick of Hillary 1140 01:02:52,480 --> 01:02:55,920 Speaker 1: and Bill and the whole Clinton operation and picking Obama instead. 1141 01:02:56,400 --> 01:03:00,600 Speaker 1: Hillary's catastrophic third place finished behind Obama and Edwards in 1142 01:03:00,640 --> 01:03:04,760 Speaker 1: Iowa was given a similarly hazy treatment in the real world. 1143 01:03:04,920 --> 01:03:08,440 Speaker 1: Clinton's disastrous Rock War vote, combined with campaign arrogance and 1144 01:03:08,560 --> 01:03:11,160 Speaker 1: electorate and desperate for new leaders after the terrible Bush 1145 01:03:11,240 --> 01:03:15,320 Speaker 1: years that led to this disastrous outcome. In Huma's memoir, however, 1146 01:03:15,400 --> 01:03:18,360 Speaker 1: she instead, grouses that folaters were too distracted by the 1147 01:03:18,360 --> 01:03:21,200 Speaker 1: flashy antics of her rivals to focus on learning about 1148 01:03:21,200 --> 01:03:24,240 Speaker 1: the policies that would be in their best interest. Quote. 1149 01:03:24,520 --> 01:03:28,960 Speaker 1: Though Hillary's proposals were as thought out, considered, comprehensive, detailed, precise, 1150 01:03:28,960 --> 01:03:32,120 Speaker 1: and polished as she was, at times, it felt as 1151 01:03:32,160 --> 01:03:33,920 Speaker 1: if she was trying to get the kids to focus 1152 01:03:33,960 --> 01:03:38,000 Speaker 1: on their homework while everyone else was setting off dazzling fireworks. 1153 01:03:38,480 --> 01:03:40,920 Speaker 1: And in the end, according to Huma, it wasn't Hillary 1154 01:03:40,920 --> 01:03:44,560 Speaker 1: who failed and lost Iowa, but her staffers. After allowing 1155 01:03:44,600 --> 01:03:47,200 Speaker 1: that possibly there was just no way to beat Obama 1156 01:03:47,240 --> 01:03:50,440 Speaker 1: at that time in that year, Huma concludes, quote, in 1157 01:03:50,520 --> 01:03:53,280 Speaker 1: this very moment, it was clear that we as a 1158 01:03:53,360 --> 01:03:56,200 Speaker 1: team had failed her. What had worked so well in 1159 01:03:56,240 --> 01:03:59,040 Speaker 1: the Senate was our lean, operation laser focused on very 1160 01:03:59,080 --> 01:04:02,720 Speaker 1: specific results. In contrast, our presidential campaign had felt like 1161 01:04:02,760 --> 01:04:06,160 Speaker 1: an ocean liner from the start, expensive expansive, slow to turn, 1162 01:04:06,240 --> 01:04:08,760 Speaker 1: and now it had sprung a leak. Our bloated campaign 1163 01:04:09,080 --> 01:04:11,600 Speaker 1: was sinking. Of course, back in the real world, the 1164 01:04:11,680 --> 01:04:14,360 Speaker 1: size and nature of a candidate's campaign is the primary 1165 01:04:14,400 --> 01:04:18,120 Speaker 1: responsibility of that candidate, but not in this book. Instead, 1166 01:04:18,200 --> 01:04:21,240 Speaker 1: Hillary's loss was the fault of Obama's fireworks easily distracted 1167 01:04:21,320 --> 01:04:24,800 Speaker 1: voters and campaign staffers. In whom the evidence world Hillary 1168 01:04:24,800 --> 01:04:28,560 Speaker 1: Clinton is always always blameless, and it's like this dropped 1169 01:04:28,560 --> 01:04:31,760 Speaker 1: the entire book. Whoma justifies Hillary's a rock war vote, 1170 01:04:31,880 --> 01:04:36,000 Speaker 1: a vote which Huma herself personally objected to, by complaining 1171 01:04:36,000 --> 01:04:38,600 Speaker 1: about the press and the public failing to understand the 1172 01:04:38,680 --> 01:04:42,800 Speaker 1: nuance of Hillary's rationalizations for that vote, the crop misdeeds 1173 01:04:42,800 --> 01:04:46,200 Speaker 1: of the Clinton Foundation. They aren't mentioned at all. Whoma 1174 01:04:46,280 --> 01:04:48,640 Speaker 1: even pushes back at the idea that Hillary used her 1175 01:04:48,680 --> 01:04:52,200 Speaker 1: New York Senate seat as a stepping stone for presidential ambitions, 1176 01:04:52,240 --> 01:04:55,880 Speaker 1: insisting at key moments all throughout Hillary's career political plotting 1177 01:04:56,160 --> 01:04:59,640 Speaker 1: that Hillary was just called to serve, and that weight 1178 01:04:59,720 --> 01:05:03,600 Speaker 1: upon service responsibility forced her reluctantly to seek the White 1179 01:05:03,600 --> 01:05:07,200 Speaker 1: House twice. She lost to Bernie because of sex is 1180 01:05:07,240 --> 01:05:09,000 Speaker 1: am because she had to spend so much time on 1181 01:05:09,040 --> 01:05:11,560 Speaker 1: our hair and makeup. She lost to Trump because of 1182 01:05:11,720 --> 01:05:16,680 Speaker 1: In Whoman's telling, one word comy, the rationalization and justifications 1183 01:05:16,760 --> 01:05:19,720 Speaker 1: would be hilarious if they were not also so sad. 1184 01:05:20,080 --> 01:05:22,520 Speaker 1: I actually nearly spit out my coffee when I heard 1185 01:05:22,560 --> 01:05:25,560 Speaker 1: Huma describe Hillary Land, though hillary Land is the name 1186 01:05:25,560 --> 01:05:28,960 Speaker 1: for the professional cult which had stolen Huma's life, demanding 1187 01:05:29,000 --> 01:05:32,000 Speaker 1: so much devotion that she had never even dated a 1188 01:05:32,040 --> 01:05:34,920 Speaker 1: single man until Anthony Weener forced himself on her at 1189 01:05:34,960 --> 01:05:38,000 Speaker 1: age thirty three, and that she had routinely missed birth's, 1190 01:05:38,040 --> 01:05:41,280 Speaker 1: deaths and weddings in her close spit Muslim family. Of 1191 01:05:41,280 --> 01:05:44,400 Speaker 1: this nest of parasites and hangers on, Huma said, quote, 1192 01:05:44,920 --> 01:05:47,560 Speaker 1: hillary Land is all about what do you need and 1193 01:05:47,640 --> 01:05:51,120 Speaker 1: let's get this fix. Hillary Land is how's your mom feeling? 1194 01:05:51,160 --> 01:05:54,880 Speaker 1: And you should talk to my allergist. Hillary Land's happy birthday, 1195 01:05:55,000 --> 01:05:58,240 Speaker 1: an amazing job, and get some rest. Hillary Land is 1196 01:05:58,320 --> 01:06:02,280 Speaker 1: all of those things, because Clinton is all of those things. 1197 01:06:02,880 --> 01:06:06,760 Speaker 1: Talk about Stockholm syndrome but for all it's been and obfuscation. 1198 01:06:07,120 --> 01:06:10,640 Speaker 1: Huma's momoir is also revealing because there's an entire generation 1199 01:06:10,800 --> 01:06:13,920 Speaker 1: of young people who started on ambitious yes, but also 1200 01:06:14,000 --> 01:06:17,280 Speaker 1: idealistic who are persuaded that the best way to do 1201 01:06:17,360 --> 01:06:20,040 Speaker 1: good was to prop up the status quo through power 1202 01:06:20,040 --> 01:06:23,680 Speaker 1: centers like Silicon Valley, well connected think tanks, and establishment 1203 01:06:23,760 --> 01:06:27,160 Speaker 1: figures like Hillary Clinton, who made themselves feel good and 1204 01:06:27,200 --> 01:06:30,680 Speaker 1: progressive through cheap girl power slogans and the kind of 1205 01:06:30,720 --> 01:06:34,560 Speaker 1: hollow identity politics that leaves everything regressive in place so 1206 01:06:34,720 --> 01:06:37,800 Speaker 1: long as it has a multicultural sheet. Those young people 1207 01:06:37,920 --> 01:06:40,480 Speaker 1: are grown ups now and they run the country. And 1208 01:06:40,600 --> 01:06:43,640 Speaker 1: just like Huma's book and the Clintons themselves, it sucks 1209 01:06:44,000 --> 01:06:46,800 Speaker 1: and Sagar there was a perfect through line at the 1210 01:06:46,880 --> 01:06:50,080 Speaker 1: end of the book that's said it all. Huma was like, yes, 1211 01:06:51,120 --> 01:06:53,960 Speaker 1: and if you want to hear my reaction to Crystal's monologue, 1212 01:06:54,000 --> 01:07:00,320 Speaker 1: become a premium subscriber today at breakingpoints dot Com already 1213 01:07:00,360 --> 01:07:02,800 Speaker 1: looking at well. Of all the billionaires out there, the 1214 01:07:02,840 --> 01:07:05,280 Speaker 1: one that I probably respect the most is Elon Musk, 1215 01:07:05,440 --> 01:07:07,760 Speaker 1: not just because he's actually funny on Twitter and he 1216 01:07:07,800 --> 01:07:10,800 Speaker 1: embodies a true id gaf attitude, but also because he 1217 01:07:10,840 --> 01:07:15,200 Speaker 1: actually built two genuinely transformative companies, Tesla and SpaceX. The 1218 01:07:15,280 --> 01:07:17,760 Speaker 1: field of electric cars would be a decade behind if 1219 01:07:17,760 --> 01:07:20,400 Speaker 1: it wasn't for him, and as far as private space endeavors, 1220 01:07:20,400 --> 01:07:23,880 Speaker 1: it was almost fully captured by the military industrial complex 1221 01:07:23,920 --> 01:07:26,920 Speaker 1: before he came along. I give him a tremendous amount 1222 01:07:26,960 --> 01:07:29,520 Speaker 1: of credit, but that doesn't mean that he's above scrutiny. 1223 01:07:29,680 --> 01:07:31,720 Speaker 1: And it's why I paid particular attention in the last 1224 01:07:31,760 --> 01:07:35,000 Speaker 1: several months to must business relationship with China, and it's 1225 01:07:35,040 --> 01:07:37,200 Speaker 1: come to the head over weekend with a new Wall 1226 01:07:37,200 --> 01:07:40,760 Speaker 1: Street Journal investigation into just how deep the richest man 1227 01:07:40,800 --> 01:07:43,200 Speaker 1: in the world is with the CCP and just how 1228 01:07:43,280 --> 01:07:46,000 Speaker 1: much leverage that they have over him right now. Per 1229 01:07:46,040 --> 01:07:50,080 Speaker 1: the Wall Street Journal, China rewrote domestic auto manufacturing rules 1230 01:07:50,200 --> 01:07:53,360 Speaker 1: to allow Tesla to build this factory in Shanghai. They 1231 01:07:53,440 --> 01:07:56,920 Speaker 1: quote showered him with cheap land, low interest loans, and 1232 01:07:56,960 --> 01:08:00,840 Speaker 1: tax incentives, expecting in return that tech Esla would groom 1233 01:08:01,000 --> 01:08:05,680 Speaker 1: local suppliers and bolster lagging Chinese electric vehicle players. This 1234 01:08:05,880 --> 01:08:09,640 Speaker 1: was win win for China and Tesla. Tesla now produces 1235 01:08:09,720 --> 01:08:12,040 Speaker 1: half of all of its vehicles in China, where their 1236 01:08:12,040 --> 01:08:15,520 Speaker 1: production there was key to becoming profitable in twenty twenty. 1237 01:08:15,880 --> 01:08:18,439 Speaker 1: All of that is great until the bill comes due 1238 01:08:18,640 --> 01:08:21,400 Speaker 1: for Tesla, and that comes in the form of total 1239 01:08:21,439 --> 01:08:25,479 Speaker 1: fealty to the Chinese Communist Party. China's domestic regulations require 1240 01:08:25,520 --> 01:08:28,880 Speaker 1: all businesses to retain all digital records that it gathers 1241 01:08:28,880 --> 01:08:32,919 Speaker 1: from Chinese customers inside of the country, and critically, Tesla 1242 01:08:33,160 --> 01:08:36,000 Speaker 1: must seek approval from the Chinese government before it's allowed 1243 01:08:36,040 --> 01:08:39,120 Speaker 1: to update its own cars. Now, you wouldn't want all 1244 01:08:39,160 --> 01:08:42,360 Speaker 1: that self driving tech and cameras falling into the wrong hands, now, 1245 01:08:42,360 --> 01:08:45,519 Speaker 1: would we? The world might see something that it shouldn't. Now, 1246 01:08:45,520 --> 01:08:47,960 Speaker 1: if the US government required that, I would guarantee you 1247 01:08:48,040 --> 01:08:50,640 Speaker 1: we would see a hilarious Elon tweet tailing them to 1248 01:08:50,720 --> 01:08:54,519 Speaker 1: basically shove it. But because we have due process and 1249 01:08:54,560 --> 01:08:56,200 Speaker 1: at the end of the day, they can't do that 1250 01:08:56,280 --> 01:08:58,599 Speaker 1: much to him here. When it comes to China, though, 1251 01:08:58,840 --> 01:09:02,559 Speaker 1: Elon behaves very differently. Musk paradoxically praised the new Chinese 1252 01:09:02,640 --> 01:09:05,720 Speaker 1: data laws, saying, quote data security is the key to 1253 01:09:05,760 --> 01:09:09,240 Speaker 1: the success of intelligent and connected vehicles. He also happened 1254 01:09:09,240 --> 01:09:12,599 Speaker 1: to make those comments at the Chinese World Internet Conference 1255 01:09:12,840 --> 01:09:15,719 Speaker 1: m okay. And it also just so happened after jack 1256 01:09:15,760 --> 01:09:19,200 Speaker 1: Ma was disappeared and another Chinese tech company was destroyed 1257 01:09:19,200 --> 01:09:22,400 Speaker 1: by the government for appearing too powerful. Here's the thing. 1258 01:09:22,720 --> 01:09:26,040 Speaker 1: In the long run, Musk will still probably lose. That's 1259 01:09:26,080 --> 01:09:28,840 Speaker 1: what makes all of his cowtowing so gross. From the 1260 01:09:28,880 --> 01:09:31,839 Speaker 1: Wall Street Journal, the only reason China even let Tesla 1261 01:09:31,920 --> 01:09:34,519 Speaker 1: in the first place was so that Tesla could create 1262 01:09:34,560 --> 01:09:37,800 Speaker 1: the domestic supply chain for electric vehicles. Tesla could do 1263 01:09:37,840 --> 01:09:40,360 Speaker 1: all the hard work of growing the supplier base, creating 1264 01:09:40,400 --> 01:09:44,160 Speaker 1: the downstream supply chain, and then the Chinese domestic manufacturers 1265 01:09:44,439 --> 01:09:47,599 Speaker 1: could compete. And by compete, I mean the government can 1266 01:09:47,680 --> 01:09:50,160 Speaker 1: rig the system in their favor and then eventually they 1267 01:09:50,160 --> 01:09:52,479 Speaker 1: can write off of all the hard work of elon musk. 1268 01:09:52,760 --> 01:09:56,040 Speaker 1: Sure enough, that has actually worked. Per Tesla's own emission, 1269 01:09:56,360 --> 01:10:00,160 Speaker 1: ninety percent of Shanghai factory inputs are domestically sourced. Is 1270 01:10:00,160 --> 01:10:03,120 Speaker 1: the Chinese dream For now, they continue to allow Tesla 1271 01:10:03,280 --> 01:10:05,840 Speaker 1: to operate there, build up its supply chain, all while 1272 01:10:05,880 --> 01:10:08,840 Speaker 1: its domestic companies continue to get going. This is for 1273 01:10:08,880 --> 01:10:12,599 Speaker 1: two purposes. Number one is to have domestic capacity. Number 1274 01:10:12,600 --> 01:10:16,120 Speaker 1: two is to destroy any foreign competition in the future. 1275 01:10:16,360 --> 01:10:19,439 Speaker 1: You rig the market and you create a monopoly. That way, 1276 01:10:19,600 --> 01:10:22,280 Speaker 1: when the say, the same company Tesla wants to make 1277 01:10:22,320 --> 01:10:25,040 Speaker 1: its cars in the US, they now are asking our 1278 01:10:25,120 --> 01:10:28,639 Speaker 1: government right now for permission to import graphite from China, 1279 01:10:29,080 --> 01:10:31,599 Speaker 1: not because China is the only place with graphite, but 1280 01:10:31,640 --> 01:10:33,519 Speaker 1: because they claim it's the only place they can get 1281 01:10:33,520 --> 01:10:36,840 Speaker 1: it manufactured and cost effective. To be fair, they're not 1282 01:10:36,880 --> 01:10:38,439 Speaker 1: the only ones. It's not like the rest of the 1283 01:10:38,479 --> 01:10:41,160 Speaker 1: car companies in a Detroit are any less guilty of this. 1284 01:10:41,520 --> 01:10:43,720 Speaker 1: When you chase the cheapest dollar, this is how you 1285 01:10:43,720 --> 01:10:47,400 Speaker 1: get hooked forever. And that's the problem. Musk now obvious 1286 01:10:47,400 --> 01:10:50,439 Speaker 1: and deep reliance on China seemingly forever explains a lot 1287 01:10:50,479 --> 01:10:53,479 Speaker 1: of his recent weird behavior. Let's not forget his July 1288 01:10:53,600 --> 01:10:56,840 Speaker 1: thirtieth tweet this year that says, quote, the economic prosperity 1289 01:10:56,840 --> 01:11:00,200 Speaker 1: that China has achieved is truly amazing, especially in infrastructure. 1290 01:11:00,320 --> 01:11:03,160 Speaker 1: I encourage people to visit and see for themselves. Here's 1291 01:11:03,200 --> 01:11:05,760 Speaker 1: the worst part. That was literally in response to an 1292 01:11:05,800 --> 01:11:10,000 Speaker 1: official Chinese state media source quoting She Shingping. This is 1293 01:11:10,040 --> 01:11:13,719 Speaker 1: the pattern that has repeated itself now time and time again. 1294 01:11:14,040 --> 01:11:17,960 Speaker 1: The Chinese throw incentives at greedy American businessmen. They take 1295 01:11:18,000 --> 01:11:21,000 Speaker 1: and they book the short term shareholder profit. A few 1296 01:11:21,040 --> 01:11:23,840 Speaker 1: years later, the real cost is shown fealty to the 1297 01:11:23,840 --> 01:11:27,640 Speaker 1: CCP politically, or adherence to rules which are clearly in 1298 01:11:27,680 --> 01:11:31,880 Speaker 1: place to protect them and shield their internal corruption from 1299 01:11:31,880 --> 01:11:35,280 Speaker 1: in a free and American press. The Americans always play 1300 01:11:35,320 --> 01:11:38,839 Speaker 1: ball or they bow because they need it, especially Tesla, 1301 01:11:38,960 --> 01:11:41,639 Speaker 1: which relies on their Shanghai plant to deliver all its 1302 01:11:41,680 --> 01:11:44,400 Speaker 1: vehicles to Europe, and it produces more than they do 1303 01:11:44,479 --> 01:11:49,240 Speaker 1: at their plant in Fremont, California. Shutdown would be genuinely 1304 01:11:49,320 --> 01:11:52,040 Speaker 1: catastrophic to their bottom line, so they have to keep 1305 01:11:52,080 --> 01:11:55,080 Speaker 1: playing ball, and so the cycle goes. I say this 1306 01:11:55,200 --> 01:11:57,360 Speaker 1: once again as a fan of Musk, but as a 1307 01:11:57,360 --> 01:12:00,519 Speaker 1: fan of America above anybody else. Right now, the US 1308 01:12:00,560 --> 01:12:03,280 Speaker 1: relies on Elon Musk to shoot our people into space, 1309 01:12:03,600 --> 01:12:05,840 Speaker 1: and he is probably our best hope at reaching Mars. 1310 01:12:06,160 --> 01:12:08,200 Speaker 1: Do you really want one of our citizens who is 1311 01:12:08,240 --> 01:12:11,000 Speaker 1: so beholden to the China behind such a program of 1312 01:12:11,080 --> 01:12:14,920 Speaker 1: monumental importance. Here's the thing I have always maintained, it 1313 01:12:15,000 --> 01:12:17,599 Speaker 1: is not fair to even force these people to make 1314 01:12:17,640 --> 01:12:19,840 Speaker 1: the choice. At the end of the day, their job 1315 01:12:19,880 --> 01:12:22,680 Speaker 1: is to increase share price and sell cars. It's not 1316 01:12:22,720 --> 01:12:26,840 Speaker 1: to worry about geopolitics. That's our job and the government's job. 1317 01:12:27,000 --> 01:12:29,599 Speaker 1: It's why we should be making the choice. For Musk 1318 01:12:29,840 --> 01:12:32,280 Speaker 1: and any American businessman. If you want to do business 1319 01:12:32,320 --> 01:12:34,799 Speaker 1: in China, that's fine, but you're not going to count 1320 01:12:34,800 --> 01:12:37,760 Speaker 1: out to their domestic political goals at the expense of 1321 01:12:37,800 --> 01:12:40,559 Speaker 1: hours and still do business here in the United States. 1322 01:12:40,760 --> 01:12:43,200 Speaker 1: You're not going to be actively contributing to the hobbling 1323 01:12:43,240 --> 01:12:46,320 Speaker 1: of American and other allied industry for a major strategic 1324 01:12:46,320 --> 01:12:49,439 Speaker 1: goal of the Chinese state. Period, you remove the option, 1325 01:12:49,680 --> 01:12:52,760 Speaker 1: you remove the conflict until we do. Even the goodlines 1326 01:12:52,840 --> 01:12:55,280 Speaker 1: like Elon, they're going to be sold out. And it 1327 01:12:55,439 --> 01:12:58,080 Speaker 1: just comes back to shareholder value, Crystal. It's just the 1328 01:12:58,120 --> 01:13:01,200 Speaker 1: original sin of all this. Everything he's doing makes complete 1329 01:13:02,479 --> 01:13:05,360 Speaker 1: And if you want to hear my reaction to Cyber's monologue, 1330 01:13:05,439 --> 01:13:11,640 Speaker 1: become a premium subscriber today at breakingpoints dot com. So 1331 01:13:11,800 --> 01:13:13,800 Speaker 1: joining us now we have David Levin. He is the 1332 01:13:13,920 --> 01:13:18,519 Speaker 1: lead organizer for Teamsters for Democratic Union. Great to have you, David, Oh, 1333 01:13:18,560 --> 01:13:22,240 Speaker 1: thanks for having me. Yeah, our pleasure. So congratulations on 1334 01:13:22,280 --> 01:13:26,040 Speaker 1: the victory. First and foremost, just help our audience understand 1335 01:13:26,760 --> 01:13:30,920 Speaker 1: what you've won and why it's significant. Well, it's a 1336 01:13:31,040 --> 01:13:36,479 Speaker 1: really exciting time in the Teamsters Union. This is a 1337 01:13:36,560 --> 01:13:39,680 Speaker 1: union of one point three million members in North America's 1338 01:13:39,920 --> 01:13:44,920 Speaker 1: most powerful union. You know, for decades, the Teamsters and 1339 01:13:44,960 --> 01:13:47,960 Speaker 1: really the entire labor movement workers in general, have been 1340 01:13:48,080 --> 01:13:51,440 Speaker 1: on the defensive, and we see this as an opportunity 1341 01:13:51,479 --> 01:13:54,840 Speaker 1: to go on the offense with the union that has 1342 01:13:54,920 --> 01:13:59,160 Speaker 1: real power and David, what are the some of the 1343 01:13:59,600 --> 01:14:02,439 Speaker 1: things that that you ran on in the election, What 1344 01:14:02,520 --> 01:14:05,240 Speaker 1: were some of the issues and what were you like 1345 01:14:05,360 --> 01:14:08,920 Speaker 1: to do with your new position. Well, I think one 1346 01:14:08,960 --> 01:14:12,200 Speaker 1: way to look at the election is that this was 1347 01:14:12,240 --> 01:14:15,599 Speaker 1: really the kind of part of a growing revolt by 1348 01:14:16,080 --> 01:14:21,880 Speaker 1: essential workers that you're seeing all across the country against Tutier, 1349 01:14:22,080 --> 01:14:26,519 Speaker 1: against excessive overtime. You've seen the strikes at John Deere, 1350 01:14:27,760 --> 01:14:33,559 Speaker 1: the vote No movement at Vovo Trucks, Nabisco, Kellogg's, and 1351 01:14:33,680 --> 01:14:37,080 Speaker 1: this was that movement coming to the ballot box and 1352 01:14:37,160 --> 01:14:42,840 Speaker 1: winning power in a big, powerful international union. And it 1353 01:14:43,040 --> 01:14:47,840 Speaker 1: wasn't because there's been a grassroots movement in the Teamsters 1354 01:14:47,920 --> 01:14:51,280 Speaker 1: union Teamsters for a Democratic Union, We've had a head 1355 01:14:51,320 --> 01:14:54,559 Speaker 1: start on this revolt by essential workers. There was a 1356 01:14:54,600 --> 01:15:00,639 Speaker 1: whole series of campaigns over the last decade really where 1357 01:15:01,040 --> 01:15:06,120 Speaker 1: rank and file workers fought back against contract give backs, 1358 01:15:06,479 --> 01:15:13,160 Speaker 1: healthcare cuts, the imposition of two tier in the UPS contract, 1359 01:15:13,360 --> 01:15:18,360 Speaker 1: and they were taking on both the international union leadership 1360 01:15:18,439 --> 01:15:20,800 Speaker 1: and their employers at the same time. One of the 1361 01:15:20,840 --> 01:15:26,080 Speaker 1: really significant things about this victory is that we've now 1362 01:15:26,200 --> 01:15:31,120 Speaker 1: elected new leadership that stands behind these vote no movements 1363 01:15:31,160 --> 01:15:33,320 Speaker 1: and these kinds of campaigns and will take the fight 1364 01:15:34,040 --> 01:15:38,240 Speaker 1: to employers. So to that point, Fred Zuckerman is the 1365 01:15:38,320 --> 01:15:42,559 Speaker 1: new secretary treasurer, and he spoke a little bit about 1366 01:15:42,640 --> 01:15:45,960 Speaker 1: this new direction and some of the leadership that he 1367 01:15:46,000 --> 01:15:48,040 Speaker 1: hopes to bring. Let's take a listen to that. There 1368 01:15:48,120 --> 01:15:50,800 Speaker 1: is only one clear choice here. There's a choice of 1369 01:15:50,840 --> 01:15:53,400 Speaker 1: whether you're going to stand with the membership or you're 1370 01:15:53,400 --> 01:15:56,000 Speaker 1: going to stand with the companies. Over here. That's what 1371 01:15:56,040 --> 01:15:59,080 Speaker 1: they do. They spand with the companies. It's a business 1372 01:15:59,320 --> 01:16:03,800 Speaker 1: friendly union. Get along, go along. Whatever the company wants, 1373 01:16:03,840 --> 01:16:06,880 Speaker 1: we'll go sell it. That's fine. Over here, you're going 1374 01:16:06,920 --> 01:16:09,040 Speaker 1: to get a fight. That's what you're gonna get. You 1375 01:16:09,800 --> 01:16:12,720 Speaker 1: want business friendly, go to that side, because that's not 1376 01:16:12,760 --> 01:16:16,200 Speaker 1: what the Teamsters union want. And this is an issue 1377 01:16:16,200 --> 01:16:18,280 Speaker 1: that we've seen not just with the Teamsters, also with 1378 01:16:18,400 --> 01:16:21,760 Speaker 1: UAW and some other unions where the leadership, at least 1379 01:16:21,760 --> 01:16:23,400 Speaker 1: in the eyes of the membership, gets a little too 1380 01:16:23,439 --> 01:16:26,679 Speaker 1: cozy with the businesses that they're negotiating contracts with. Talk 1381 01:16:26,680 --> 01:16:28,840 Speaker 1: about a little bit of the history here, especially with 1382 01:16:28,880 --> 01:16:32,559 Speaker 1: regards to that UPS contract, which is incredibly significant for 1383 01:16:32,720 --> 01:16:36,439 Speaker 1: the Teamsters, where you represent you know many many workers 1384 01:16:36,560 --> 01:16:39,840 Speaker 1: under that UPS contract and the past of that and 1385 01:16:39,880 --> 01:16:42,680 Speaker 1: also what the future looks like there. So you just 1386 01:16:42,800 --> 01:16:45,120 Speaker 1: have to love Fred Zuckerman. He is not a guy 1387 01:16:45,160 --> 01:16:48,960 Speaker 1: who minces his words. And that was in a debate 1388 01:16:49,080 --> 01:16:51,800 Speaker 1: with the opposing side, and it was a really clear 1389 01:16:52,000 --> 01:16:55,680 Speaker 1: choice in this election between a side that was openly 1390 01:16:55,720 --> 01:17:01,559 Speaker 1: denouncing grassroots movements to reject contract getbacks at UPS. The 1391 01:17:01,640 --> 01:17:05,160 Speaker 1: other candidate called it the vote no movement of farce. 1392 01:17:05,680 --> 01:17:09,320 Speaker 1: And then you had Fred in that debate speaking so 1393 01:17:09,520 --> 01:17:14,439 Speaker 1: clearly to what members wanted and winning overwhelmingly two to 1394 01:17:14,520 --> 01:17:18,720 Speaker 1: one in this election speak going to that UPS contract. 1395 01:17:18,960 --> 01:17:25,479 Speaker 1: In twenty eighteen, contract negotiations were headed by the now 1396 01:17:25,520 --> 01:17:30,040 Speaker 1: General President, John O'Brien initially, and then he wanted to 1397 01:17:30,080 --> 01:17:33,960 Speaker 1: reach out and build a coalition and bring in other 1398 01:17:34,080 --> 01:17:37,160 Speaker 1: leaders who hadn't backed off of like Fred Zuckerman, and 1399 01:17:37,200 --> 01:17:40,000 Speaker 1: include them on the negotiating committee. And for that reason 1400 01:17:40,439 --> 01:17:45,560 Speaker 1: he was fired and Hoofa brought in someone to negotiate 1401 01:17:45,640 --> 01:17:49,080 Speaker 1: the national UPS contract who was a very go long, 1402 01:17:49,320 --> 01:17:52,720 Speaker 1: get along guy. He imposed what we called an information 1403 01:17:53,080 --> 01:17:56,439 Speaker 1: round out where members had no idea what was coming 1404 01:17:56,840 --> 01:18:03,120 Speaker 1: happening in contract negotiations, negotiated a two tier agreement at 1405 01:18:03,200 --> 01:18:10,000 Speaker 1: UPS where new drivers would have to work Tuesday to Saturday, 1406 01:18:10,080 --> 01:18:12,760 Speaker 1: get a lower rate of pay, and have no protections 1407 01:18:12,800 --> 01:18:18,839 Speaker 1: against successive overtime. Teamster members understand solidarity, and even before 1408 01:18:19,000 --> 01:18:23,120 Speaker 1: any of these drivers had been higher, the majority of 1409 01:18:23,240 --> 01:18:28,080 Speaker 1: UPS teamsters voted no to reject this deal, and the 1410 01:18:28,120 --> 01:18:32,360 Speaker 1: International Union imposed it anyway. They used a loophole in 1411 01:18:32,400 --> 01:18:37,720 Speaker 1: the Teamster constitution to impose the contract, and this just 1412 01:18:37,840 --> 01:18:41,519 Speaker 1: added fuel to the fire of what was already a 1413 01:18:41,720 --> 01:18:45,880 Speaker 1: growing result revolt. In twenty sixteen, five years ago, in 1414 01:18:45,920 --> 01:18:49,040 Speaker 1: the last election, Fred Zuckerman got forty nine percent of 1415 01:18:49,080 --> 01:18:54,120 Speaker 1: the vote. An overwhelming majority of UPS workers voted for 1416 01:18:54,200 --> 01:18:59,560 Speaker 1: him then, and after the twenty eighteen sellout and imposition 1417 01:18:59,640 --> 01:19:05,360 Speaker 1: of the track, the sort of Hofa's political fate was sealed. 1418 01:19:06,160 --> 01:19:09,680 Speaker 1: He lined up a replacement to run and carry his 1419 01:19:10,040 --> 01:19:13,880 Speaker 1: banner forward. That candidate was rejected by a two to 1420 01:19:13,920 --> 01:19:20,400 Speaker 1: one vote in many many cities, UPS workers voted by 1421 01:19:20,520 --> 01:19:25,960 Speaker 1: ninety percent margins for Teamsters United. And so what you're 1422 01:19:26,000 --> 01:19:32,800 Speaker 1: saying is a real surge of militancy at the grassroots 1423 01:19:32,880 --> 01:19:36,559 Speaker 1: level that's tied to leadership that also wants to take 1424 01:19:36,600 --> 01:19:40,240 Speaker 1: the union in a militant direction. Wow, David tell us 1425 01:19:40,240 --> 01:19:42,160 Speaker 1: a little bit about some of the union drives that 1426 01:19:42,160 --> 01:19:45,639 Speaker 1: we can expect across the nation, especially in the midst 1427 01:19:45,640 --> 01:19:49,879 Speaker 1: of his rising labor movement. Well, so, I mean, everybody 1428 01:19:49,920 --> 01:19:53,719 Speaker 1: wants to talk about Amazon, and they've talked very much 1429 01:19:53,760 --> 01:19:59,040 Speaker 1: about beefing up organizing at Amazon. I don't think we 1430 01:19:59,080 --> 01:20:02,760 Speaker 1: can expect that to happens, say by Christmas. We'd all 1431 01:20:02,800 --> 01:20:05,479 Speaker 1: love that present. But this is going to be a 1432 01:20:05,520 --> 01:20:11,000 Speaker 1: long term campaign. It's going to require strategic partnerships. It's 1433 01:20:11,040 --> 01:20:13,960 Speaker 1: going to require much more than just one union. The 1434 01:20:13,960 --> 01:20:15,840 Speaker 1: teams just can't do it alone. We could be a 1435 01:20:15,840 --> 01:20:18,120 Speaker 1: big part of it, but we're gonna have to partner 1436 01:20:18,200 --> 01:20:21,000 Speaker 1: with others in labor. We're gonna have to partner with 1437 01:20:21,120 --> 01:20:26,439 Speaker 1: community allies and social movements. But I think one thing 1438 01:20:26,479 --> 01:20:29,280 Speaker 1: that Sean O'Brien made very clear during the course of 1439 01:20:29,360 --> 01:20:33,240 Speaker 1: the campaign that I think was really really important is 1440 01:20:33,280 --> 01:20:37,960 Speaker 1: that if you want to inspire workers to join your union, 1441 01:20:38,120 --> 01:20:41,240 Speaker 1: then you need to be a fighting union union member. 1442 01:20:42,560 --> 01:20:47,000 Speaker 1: Workers want to join a labor movement will be attracted 1443 01:20:47,000 --> 01:20:51,200 Speaker 1: to a labor movement that's fighting back against the boss 1444 01:20:51,280 --> 01:20:54,200 Speaker 1: and winning. And so one of the number one things 1445 01:20:54,800 --> 01:21:00,160 Speaker 1: that the Teamsters Union can do to jumpstart organizing at 1446 01:21:00,200 --> 01:21:04,439 Speaker 1: Amazon is to have a very militant and very public 1447 01:21:05,720 --> 01:21:09,720 Speaker 1: contract campaign to reverse the givebacks at UPS. And if 1448 01:21:09,720 --> 01:21:13,200 Speaker 1: that takes a strike, so be it. And that's the 1449 01:21:13,240 --> 01:21:19,200 Speaker 1: position that the Teamsters United leadership took during the campaign, 1450 01:21:19,320 --> 01:21:22,160 Speaker 1: and we agree with it one hundred percent. It's just 1451 01:21:22,240 --> 01:21:26,519 Speaker 1: if you want to. It's very difficult to organize new 1452 01:21:26,560 --> 01:21:28,880 Speaker 1: members when you're selling out the ones you already have, 1453 01:21:29,120 --> 01:21:33,320 Speaker 1: and that era is over in the team stitution, got it. 1454 01:21:33,360 --> 01:21:36,120 Speaker 1: What you just said is really important that the new 1455 01:21:36,200 --> 01:21:41,000 Speaker 1: leadership ran directly on will strike ups if necessary. My 1456 01:21:41,120 --> 01:21:43,679 Speaker 1: understanding is that contract is up, what in two years 1457 01:21:44,520 --> 01:21:47,360 Speaker 1: if there was a strike. Of course, nothing is inevitable, 1458 01:21:47,439 --> 01:21:51,599 Speaker 1: and strikes are very difficult on the workers that are involved. 1459 01:21:51,600 --> 01:21:54,240 Speaker 1: But if that were to happen, what would that mean 1460 01:21:54,520 --> 01:21:59,120 Speaker 1: for the country. Obviously, as we've all moved to online shopping, 1461 01:21:59,640 --> 01:22:04,600 Speaker 1: ups and other carriers are extraordinarily integral to our national economy, 1462 01:22:04,680 --> 01:22:07,400 Speaker 1: So what could that look like? Well, and I think 1463 01:22:07,439 --> 01:22:10,720 Speaker 1: that that's one of the things that makes us such 1464 01:22:10,760 --> 01:22:15,000 Speaker 1: an important opportunity, not just for working teamsters, but for 1465 01:22:15,120 --> 01:22:18,599 Speaker 1: all of labor. Unlike other unions that have really been 1466 01:22:18,640 --> 01:22:27,960 Speaker 1: weakened by globalization, Teamsters Teamster jobs cannot be outsourced. You 1467 01:22:28,040 --> 01:22:32,360 Speaker 1: can't outsource package delivery or garbage collection, or freight or 1468 01:22:32,479 --> 01:22:37,160 Speaker 1: rail those jobs by food distribution, those jobs, by definition, 1469 01:22:37,320 --> 01:22:41,240 Speaker 1: have to be done here. The Teamsters is a logistics union, 1470 01:22:42,720 --> 01:22:45,360 Speaker 1: and so it is right at the heart of the 1471 01:22:45,400 --> 01:22:49,840 Speaker 1: American economy, and it has the power potentially both to 1472 01:22:49,920 --> 01:22:55,120 Speaker 1: move the US economy or to hamper it or shut 1473 01:22:55,160 --> 01:22:57,439 Speaker 1: it down. And I think one of the things that's 1474 01:22:57,479 --> 01:23:03,040 Speaker 1: happened over the pandemic is that essential workers have come 1475 01:23:03,080 --> 01:23:07,080 Speaker 1: to see and feel the power that they have in 1476 01:23:07,120 --> 01:23:10,000 Speaker 1: a way, in ways that are really really important. And 1477 01:23:10,040 --> 01:23:12,760 Speaker 1: they're pretty tired of being told that they're essential and 1478 01:23:12,800 --> 01:23:16,200 Speaker 1: treated like they're disposable. And I think that that's fueling 1479 01:23:16,240 --> 01:23:19,280 Speaker 1: some of the anger we're seeing. I think that's absolutely right. Well, 1480 01:23:19,320 --> 01:23:21,519 Speaker 1: we really appreciate you joining us to update us. Thanks 1481 01:23:21,560 --> 01:23:24,080 Speaker 1: very much, congrats David, come back and keep us updated. 1482 01:23:24,120 --> 01:23:28,040 Speaker 1: Thank you, absolutely, thank you so much. Absolutely, thank you 1483 01:23:28,040 --> 01:23:30,320 Speaker 1: guys so much for watching. We really appreciate it. We just, 1484 01:23:30,439 --> 01:23:32,799 Speaker 1: you know, appreciate all of your support. I just checked 1485 01:23:32,880 --> 01:23:35,639 Speaker 1: right before this, and it looks like Crystal that Chris 1486 01:23:35,720 --> 01:23:39,040 Speaker 1: Cuomo segment that we did yesterday was went ahead and 1487 01:23:39,360 --> 01:23:42,679 Speaker 1: not suitable for all advertisers, which is just kind of amazing. 1488 01:23:43,000 --> 01:23:47,760 Speaker 1: Can't report on CNN literally firing Chris Cuomo because of 1489 01:23:47,920 --> 01:23:50,879 Speaker 1: what they claim is their you know me too policy. 1490 01:23:50,960 --> 01:23:53,160 Speaker 1: But as I pointed to, how are we supposed to 1491 01:23:53,160 --> 01:23:55,519 Speaker 1: cover the news you know and have an incentive to 1492 01:23:55,520 --> 01:23:57,640 Speaker 1: do so? The way is. The way we have an 1493 01:23:57,680 --> 01:24:00,599 Speaker 1: incentive is because we rely on you guys, the primary 1494 01:24:00,640 --> 01:24:03,120 Speaker 1: source of our revenue, not on YouTube. So if you 1495 01:24:03,120 --> 01:24:05,439 Speaker 1: can't help us out, premium link is there in description. 1496 01:24:05,640 --> 01:24:07,519 Speaker 1: Of course you get all sorts of benefits, but that's 1497 01:24:07,520 --> 01:24:09,920 Speaker 1: really what you're helping us fight against. We give you 1498 01:24:09,960 --> 01:24:12,360 Speaker 1: the best show possible, regardless whether we're gonna make money 1499 01:24:12,400 --> 01:24:15,320 Speaker 1: on it on YouTube or not. Yeah, it's insane that 1500 01:24:15,439 --> 01:24:18,760 Speaker 1: you can't even mention me too, either with regard to 1501 01:24:18,800 --> 01:24:22,080 Speaker 1: allegations or talking about something that has been an incredibly 1502 01:24:22,240 --> 01:24:25,800 Speaker 1: important social movement in America no matter what you think 1503 01:24:25,800 --> 01:24:29,080 Speaker 1: of it. Totally insane. That's why we love you guys, 1504 01:24:29,120 --> 01:24:31,320 Speaker 1: Thank you so much for your support, and we will 1505 01:24:31,320 --> 01:25:35,560 Speaker 1: see you against soon. See you, Sue, shoot stop stop, 1506 01:25:57,120 --> 01:25:59,200 Speaker 1: shot stop