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 --> 00:00:04,480 Speaker 1: and Sager. We're gonna be totally upfront with you. We 3 00:00:04,559 --> 00:00:07,200 Speaker 1: 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 00:00:12,200 --> 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 --> 00:01:06,200 Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody, 18 00:01:06,200 --> 00:01:08,840 Speaker 1: Happy Monday. We have an amazing show for everybody today. 19 00:01:08,840 --> 00:01:10,479 Speaker 1: When do we have crystals for it to be back? 20 00:01:10,480 --> 00:01:12,960 Speaker 1: Indeed we do. It does feel good to be back. 21 00:01:13,040 --> 00:01:15,920 Speaker 1: We missed you guys. Hope you all had a happy Thanksgiving. Also, 22 00:01:16,840 --> 00:01:19,080 Speaker 1: big change for me while I was away. I am 23 00:01:19,080 --> 00:01:24,000 Speaker 1: now officially forty years old. Yeah, No, emotionally coping with today. Honestly, Actually, 24 00:01:24,000 --> 00:01:27,480 Speaker 1: I think the flip to thirty was harder because one's 25 00:01:27,520 --> 00:01:30,240 Speaker 1: coming up for you, because it changes your whole identity. 26 00:01:30,280 --> 00:01:32,360 Speaker 1: You can no longer really think of yourself as yet 27 00:01:33,760 --> 00:01:36,840 Speaker 1: I'm doing okay with it. Big stories today. I'm obviously 28 00:01:36,959 --> 00:01:38,880 Speaker 1: going to talk a lot about that new variant that 29 00:01:38,920 --> 00:01:41,640 Speaker 1: the World Health Organization is identified as a variant of 30 00:01:41,720 --> 00:01:45,119 Speaker 1: concern that would be omicron. We're going to talk about 31 00:01:45,120 --> 00:01:47,280 Speaker 1: it from a political perspective and what it might mean 32 00:01:47,319 --> 00:01:50,000 Speaker 1: for your life. We also have a doctor on who 33 00:01:50,040 --> 00:01:52,280 Speaker 1: can tell us what we know, what we don't know, 34 00:01:52,440 --> 00:01:55,160 Speaker 1: and what we should be looking for. We're going to 35 00:01:55,160 --> 00:01:59,160 Speaker 1: be talking about how our president spent his Thanksgiving. Yes, 36 00:02:00,040 --> 00:02:04,840 Speaker 1: very interesting details. There a terrible, terrible op ed on 37 00:02:05,000 --> 00:02:08,400 Speaker 1: CNN about how Kamala and Pete, instead of being rivals, 38 00:02:08,400 --> 00:02:11,359 Speaker 1: they should actually team up together for the worst ticket 39 00:02:11,360 --> 00:02:13,400 Speaker 1: of all time. So we'll talk to you about that. 40 00:02:13,840 --> 00:02:16,920 Speaker 1: Some big news and labor movement. Also, some big news 41 00:02:17,040 --> 00:02:20,720 Speaker 1: with former presidential contender and Secretary of State Hillary Clinton. 42 00:02:21,080 --> 00:02:23,760 Speaker 1: You did not want to miss her latest comments, but 43 00:02:23,840 --> 00:02:26,920 Speaker 1: we wanted to start with the latest. With that variant 44 00:02:26,960 --> 00:02:31,119 Speaker 1: omicron first identified in South Africa. They have pretty advanced 45 00:02:31,639 --> 00:02:34,320 Speaker 1: virus identification and contact tracing, so that's why it was 46 00:02:34,360 --> 00:02:38,079 Speaker 1: identified there. The very first known incident of it was 47 00:02:38,120 --> 00:02:41,560 Speaker 1: actually in Botswana. It's already spread to all sorts of 48 00:02:41,560 --> 00:02:44,400 Speaker 1: places around the world. Let's throw the sibylantic tear sheet 49 00:02:44,520 --> 00:02:46,960 Speaker 1: up on the screen, I think at this point, and 50 00:02:47,000 --> 00:02:49,680 Speaker 1: we are going to have doctor Abdul sayad on to 51 00:02:49,720 --> 00:02:52,720 Speaker 1: talk us through some of the specifics. At this point, 52 00:02:52,960 --> 00:02:55,080 Speaker 1: what we know is that we don't know a lot. 53 00:02:55,360 --> 00:02:58,880 Speaker 1: The reason that scientists are somewhat concerned about this is 54 00:02:59,000 --> 00:03:01,360 Speaker 1: for a few things. First of all, it has a 55 00:03:01,400 --> 00:03:05,919 Speaker 1: lot of mutations on that spike protein, and those mutations, 56 00:03:05,919 --> 00:03:09,400 Speaker 1: which have been seen in other variants in some instances, 57 00:03:09,440 --> 00:03:12,720 Speaker 1: have led to it being more transmissible. But you don't 58 00:03:12,760 --> 00:03:14,959 Speaker 1: know how it changes things when you put them all together. 59 00:03:15,240 --> 00:03:17,960 Speaker 1: There's no way of really knowing how that impacts anything. 60 00:03:18,000 --> 00:03:20,720 Speaker 1: We don't also know how severe the diseases that it 61 00:03:20,800 --> 00:03:24,239 Speaker 1: calls causes. We don't know how it interacts with the 62 00:03:24,320 --> 00:03:28,160 Speaker 1: vaccines that exist currently. The other reason that they were 63 00:03:28,160 --> 00:03:30,919 Speaker 1: concerned and why the World Health Organization labeled it a 64 00:03:31,000 --> 00:03:34,920 Speaker 1: variant of concern is because in a small population in 65 00:03:34,960 --> 00:03:38,360 Speaker 1: South Africa it seemed to be out competing some of 66 00:03:38,400 --> 00:03:43,760 Speaker 1: the other variants. So world leaders have reacted strongly. We'll 67 00:03:43,760 --> 00:03:46,680 Speaker 1: talk about some of the Biden administration's moves in a moment. 68 00:03:46,960 --> 00:03:50,560 Speaker 1: The stock market also kind of freaked out. We've got 69 00:03:50,560 --> 00:03:53,000 Speaker 1: a CNBC tear sheet here that we can throw up 70 00:03:53,040 --> 00:03:55,640 Speaker 1: on the screen. The doubt tumbled nine hundred points on Friday, 71 00:03:55,640 --> 00:03:59,240 Speaker 1: worst day of the year, on fears of new COVID variant. 72 00:03:59,480 --> 00:04:04,200 Speaker 1: Very interesting. Which stock prices moved in which direction? So 73 00:04:04,400 --> 00:04:07,880 Speaker 1: industrials linked to the global economy declined, things like Caterpillar 74 00:04:07,960 --> 00:04:11,680 Speaker 1: off by four percent, cheve Run dropped. Energy stocks overall 75 00:04:11,920 --> 00:04:16,360 Speaker 1: reacted on the flip side. Big Pharma doing quite well 76 00:04:16,400 --> 00:04:20,560 Speaker 1: in the stock market. Pharma, Zoom, Peloton, basically all of 77 00:04:20,560 --> 00:04:23,120 Speaker 1: every thing that did well in the lockdown, yes, and 78 00:04:23,160 --> 00:04:26,880 Speaker 1: that profits off of the pandemic. Those stocks are up. 79 00:04:26,920 --> 00:04:28,880 Speaker 1: We don't know. The markets haven't open yet this morning 80 00:04:28,920 --> 00:04:32,320 Speaker 1: to say what it looks like this morning, but you know, 81 00:04:32,360 --> 00:04:35,400 Speaker 1: this is the big news there's a lot we don't know. Obviously, 82 00:04:35,440 --> 00:04:38,560 Speaker 1: world leaders are concerned, some shutting down travel from the 83 00:04:38,560 --> 00:04:42,920 Speaker 1: affected countries. It certainly looks like it's still in small numbers, 84 00:04:42,960 --> 00:04:45,039 Speaker 1: but has spread to a lot of locations around the world, 85 00:04:45,080 --> 00:04:48,960 Speaker 1: including some identified in the UK, some in Israel, Botswana, 86 00:04:49,000 --> 00:04:52,640 Speaker 1: South Africa, obviously, also in Hong Kong. Very likely there 87 00:04:52,640 --> 00:04:55,719 Speaker 1: are some cases here already. If it's already spread that widely, yeah, 88 00:04:55,720 --> 00:04:57,600 Speaker 1: it's almost certainly here in the United States. I want 89 00:04:57,600 --> 00:05:00,000 Speaker 1: to say at the top, huge thank you to such 90 00:05:00,000 --> 00:05:03,240 Speaker 1: South Africa. They identified They have a very very advanced 91 00:05:03,360 --> 00:05:06,440 Speaker 1: identification network there for the virology, and they released it 92 00:05:06,560 --> 00:05:10,360 Speaker 1: knowing that there would very likely be repercussions on their citizens. 93 00:05:10,400 --> 00:05:12,840 Speaker 1: And more so, thank you very much to the virologists 94 00:05:12,839 --> 00:05:15,440 Speaker 1: and the doctors in South Africa who identified this variant 95 00:05:15,480 --> 00:05:18,080 Speaker 1: and who published some of the early data. There's a 96 00:05:18,120 --> 00:05:19,960 Speaker 1: lot that we don't know, as you say, and I 97 00:05:20,040 --> 00:05:22,320 Speaker 1: do find the freak out over this very dismaying. I'm 98 00:05:22,320 --> 00:05:24,520 Speaker 1: not saying I'm against the travel band or anything like that. 99 00:05:24,800 --> 00:05:26,520 Speaker 1: But a way that I believe that a lot of 100 00:05:26,560 --> 00:05:29,080 Speaker 1: the media and them are reporting this is by picking 101 00:05:29,160 --> 00:05:31,480 Speaker 1: up different snippets and then pushing it to people who 102 00:05:31,480 --> 00:05:33,919 Speaker 1: are scared, right, who are wondering, are my vaccines going 103 00:05:34,000 --> 00:05:37,080 Speaker 1: to work well? Boris Johnson yesterday speaking in the United 104 00:05:37,160 --> 00:05:39,760 Speaker 1: Kingdom said, look, at least for what we can see, 105 00:05:39,800 --> 00:05:42,800 Speaker 1: there does seem to be some transmissibility and more of 106 00:05:42,880 --> 00:05:45,640 Speaker 1: type of a breakthrough infraction than we see with normal 107 00:05:45,720 --> 00:05:48,880 Speaker 1: delta and with COVID. At the same time, the doctor 108 00:05:48,920 --> 00:05:51,880 Speaker 1: herself who actually identified it, this came out this morning 109 00:05:52,040 --> 00:05:54,680 Speaker 1: from Reuter. She just gave an interview quote, looking at 110 00:05:54,680 --> 00:05:56,800 Speaker 1: the mildness of the symptoms, there is no reason to 111 00:05:56,839 --> 00:06:00,160 Speaker 1: be panicking as we don't see severely ill patients. Quote. 112 00:06:00,240 --> 00:06:02,400 Speaker 1: The hype that's been created out there in the media 113 00:06:02,480 --> 00:06:06,280 Speaker 1: worldwide does not correlate with the clinical picture that again 114 00:06:06,360 --> 00:06:09,560 Speaker 1: is from the doctor herself who identified the variant in 115 00:06:09,640 --> 00:06:12,359 Speaker 1: South Africa. So you put these things together and the 116 00:06:12,400 --> 00:06:15,359 Speaker 1: Atlantic headline basically sums it up, no idea. What the 117 00:06:15,360 --> 00:06:17,320 Speaker 1: hell is going on? Does? I mean? The market should 118 00:06:17,320 --> 00:06:19,720 Speaker 1: be dropping nine hundred points and we should be preparing 119 00:06:19,839 --> 00:06:22,880 Speaker 1: for lockdown and all this. Unfortunately, that's the way that 120 00:06:22,920 --> 00:06:25,040 Speaker 1: the media pushes it, and that is how also our 121 00:06:25,080 --> 00:06:27,840 Speaker 1: policymakers are handling this. President Biden is going to be 122 00:06:27,880 --> 00:06:30,400 Speaker 1: speaking later today. They say that we're on a two 123 00:06:30,480 --> 00:06:34,920 Speaker 1: week like get to know period about omicron, so we'll see, 124 00:06:35,279 --> 00:06:37,840 Speaker 1: we'll see what he is dating, be dating a little 125 00:06:37,839 --> 00:06:42,080 Speaker 1: two week trial on the omicron variants. But doctor Fauci 126 00:06:42,200 --> 00:06:45,800 Speaker 1: of course asked about this over the weekend on Sunday, 127 00:06:46,120 --> 00:06:49,440 Speaker 1: and what he had to say very concerning specifically around 128 00:06:49,480 --> 00:06:52,119 Speaker 1: lockdowns and other public health measures. Let's take a listen, 129 00:06:52,360 --> 00:06:56,400 Speaker 1: bect to be seeing more lockdowns again, new lockdowns, more mandates. 130 00:06:58,880 --> 00:07:01,080 Speaker 1: You know, I don't know, George, it's really too early 131 00:07:01,120 --> 00:07:04,040 Speaker 1: to say. We just really need to, as I've said 132 00:07:04,160 --> 00:07:08,080 Speaker 1: so often, prepare for the worst. And it may not 133 00:07:08,240 --> 00:07:09,960 Speaker 1: be that we're going to have to go the route 134 00:07:10,000 --> 00:07:12,840 Speaker 1: that people are saying this. We don't know a lot 135 00:07:12,920 --> 00:07:15,920 Speaker 1: about this virus, so we want to prepare as best 136 00:07:15,920 --> 00:07:19,320 Speaker 1: as we can. But it may turn out that this preparation, 137 00:07:19,760 --> 00:07:23,480 Speaker 1: although important, may not necessarily push us to the next level. 138 00:07:23,800 --> 00:07:27,520 Speaker 1: People talking about lockdowns, people talking about that. Let's see 139 00:07:27,560 --> 00:07:31,160 Speaker 1: what the information that we're getting in real time tells us, 140 00:07:31,640 --> 00:07:35,080 Speaker 1: and we'll make decisions based on the science and the 141 00:07:35,120 --> 00:07:37,680 Speaker 1: evidence the way we always do. But you want to 142 00:07:37,720 --> 00:07:40,600 Speaker 1: be prepared to do anything and everything. And that's the 143 00:07:40,640 --> 00:07:44,040 Speaker 1: reason while we're playing such close attention to this and 144 00:07:44,080 --> 00:07:47,920 Speaker 1: why we're all over it makes messaging there Chrystal prepare 145 00:07:47,960 --> 00:07:50,040 Speaker 1: for the worst at the same time, we're not necessarily 146 00:07:50,120 --> 00:07:52,040 Speaker 1: going to it, but keeping the door open towards the 147 00:07:52,040 --> 00:07:54,680 Speaker 1: most stringent public health measures. And I would say I 148 00:07:54,680 --> 00:07:57,320 Speaker 1: don't not think that is a correct public health posture. 149 00:07:57,320 --> 00:07:58,800 Speaker 1: I think that there are two different ways you can 150 00:07:58,840 --> 00:08:02,320 Speaker 1: handle this. The travels bands and looking at that and saying, Okay, 151 00:08:02,600 --> 00:08:06,120 Speaker 1: let's figure out what the hell is going on tr 152 00:08:06,560 --> 00:08:11,080 Speaker 1: truth based second time, and while we also tell the 153 00:08:11,120 --> 00:08:14,080 Speaker 1: public listen, we have all of the tools at our disposal. 154 00:08:14,280 --> 00:08:17,440 Speaker 1: We've got COVID pills, we've got vaccines. Many people are 155 00:08:17,440 --> 00:08:19,640 Speaker 1: now getting their booster shots if they so feel. And 156 00:08:19,720 --> 00:08:22,160 Speaker 1: at the same time we have to also be considering 157 00:08:22,240 --> 00:08:24,360 Speaker 1: that this is probably what the future looks like. How 158 00:08:24,360 --> 00:08:26,640 Speaker 1: many more omicrons are there going to be a lot? 159 00:08:26,680 --> 00:08:29,240 Speaker 1: And this is what you're delving into in your monologue, 160 00:08:29,240 --> 00:08:32,120 Speaker 1: which is that whenever you have a situation where Maderna 161 00:08:32,280 --> 00:08:34,920 Speaker 1: is not giving up its IP to the African nations, 162 00:08:35,480 --> 00:08:37,920 Speaker 1: and you are going to have an entire variety both 163 00:08:37,920 --> 00:08:40,080 Speaker 1: from the global South, which has mostly only had like 164 00:08:40,679 --> 00:08:45,240 Speaker 1: Sino farm the Chinese vaccines. Russovac's also not particularly good. 165 00:08:45,520 --> 00:08:49,520 Speaker 1: And then you have an entire unvaccinated population in Africa 166 00:08:49,559 --> 00:08:52,920 Speaker 1: as well as very sparse uptake throughout the Islamic nations 167 00:08:52,960 --> 00:08:55,319 Speaker 1: and in places like India. Well, we are going to 168 00:08:55,360 --> 00:08:59,160 Speaker 1: be turning omicron variants all for the next couple of years, 169 00:08:59,200 --> 00:09:01,280 Speaker 1: and so we do have to learn to try and 170 00:09:01,360 --> 00:09:04,680 Speaker 1: see what it means to live in an endemic covid environment. 171 00:09:04,760 --> 00:09:06,800 Speaker 1: So I would put you know, these two things and 172 00:09:06,840 --> 00:09:10,160 Speaker 1: say that even opening the door, especially on something where 173 00:09:10,640 --> 00:09:14,439 Speaker 1: not one world leader, scientists, you know, any person has 174 00:09:14,480 --> 00:09:17,000 Speaker 1: said this thing is more deadly. That is what you 175 00:09:17,120 --> 00:09:20,120 Speaker 1: have to see, is is it more deadly especially to 176 00:09:20,200 --> 00:09:23,360 Speaker 1: the elderly, especially the people who are already vaccinated. So 177 00:09:23,360 --> 00:09:25,680 Speaker 1: it's a very difficult balance. So they have to strike here. Yeah, No, 178 00:09:26,240 --> 00:09:30,440 Speaker 1: On the continent of Africa writ large, the vaccination rate 179 00:09:30,640 --> 00:09:34,480 Speaker 1: is six to seven percent six to seven percent. So 180 00:09:34,520 --> 00:09:37,959 Speaker 1: to your point, the best thing that they could possibly 181 00:09:38,080 --> 00:09:41,600 Speaker 1: do is to force these pharmaceutical companies to give up 182 00:09:41,600 --> 00:09:44,240 Speaker 1: their recipes. South Africa, which actually has one of the 183 00:09:44,320 --> 00:09:47,320 Speaker 1: higher vaccination rates on the continent, it's something like thirty 184 00:09:47,320 --> 00:09:53,720 Speaker 1: five percent. They're trying to reverse engineer Maderna's recipe, Maderna's 185 00:09:53,760 --> 00:09:56,959 Speaker 1: formulation for their vaccine so that they can create their 186 00:09:57,000 --> 00:10:00,679 Speaker 1: own because they have realized that the Healthy World and 187 00:10:00,720 --> 00:10:03,199 Speaker 1: the World Health Organization and all of these actors have 188 00:10:03,360 --> 00:10:07,240 Speaker 1: completely failed them and effectively abandon them. And you see 189 00:10:07,320 --> 00:10:09,480 Speaker 1: with omicron. Look, we don't know whether this variant is 190 00:10:09,559 --> 00:10:12,040 Speaker 1: ultimately going to matter and really impact your life or not, 191 00:10:12,640 --> 00:10:16,080 Speaker 1: but we're playing Russian roulette here as we allow this 192 00:10:16,200 --> 00:10:19,400 Speaker 1: virus to continue to circulate and continue to mutate and 193 00:10:19,520 --> 00:10:23,400 Speaker 1: potentially develop more dangerous strains. So if there was one 194 00:10:23,520 --> 00:10:27,440 Speaker 1: thing that we would want this administration to do to 195 00:10:27,480 --> 00:10:29,679 Speaker 1: get on top of these things, not just from now 196 00:10:29,800 --> 00:10:32,679 Speaker 1: but for the future, it would be to force pharma 197 00:10:32,760 --> 00:10:35,840 Speaker 1: to give up those formulations and to increase global production 198 00:10:35,960 --> 00:10:37,560 Speaker 1: so that access wouldn't be an issue. Now in some 199 00:10:37,600 --> 00:10:41,360 Speaker 1: of these countries there's also massive vaccine hesitancy, well South Africa. 200 00:10:41,440 --> 00:10:44,320 Speaker 1: It doesn't have to do necessarily with supply, but there 201 00:10:44,400 --> 00:10:47,240 Speaker 1: is absolutely no doubt that if it was available at 202 00:10:47,280 --> 00:10:50,320 Speaker 1: a cheaper price and that there was widespread production, there 203 00:10:50,360 --> 00:10:54,319 Speaker 1: would be more of the global population that was ultimately vaccinated. 204 00:10:54,559 --> 00:10:56,720 Speaker 1: You know, I would go maybe even a lighter touch 205 00:10:56,720 --> 00:10:58,680 Speaker 1: than you. I personally think the travel bands are theater. 206 00:10:58,960 --> 00:11:02,040 Speaker 1: I actually think that by the first time around, when Trump, 207 00:11:02,120 --> 00:11:05,040 Speaker 1: you know, right away instituted the travel bands, I think 208 00:11:05,080 --> 00:11:08,240 Speaker 1: his posture then was more correct to the point about 209 00:11:08,240 --> 00:11:11,360 Speaker 1: Fauci and the mixed messages. So we just played him saying, look, 210 00:11:11,400 --> 00:11:13,199 Speaker 1: we might be going back to lockdown. I would be 211 00:11:13,360 --> 00:11:15,800 Speaker 1: very skeptical because I just don't think there's the political 212 00:11:15,800 --> 00:11:20,120 Speaker 1: will either to lockdown or to compensate the population again, 213 00:11:20,400 --> 00:11:22,960 Speaker 1: which you would have to do if you go back 214 00:11:22,960 --> 00:11:26,679 Speaker 1: into lockdown mode. So he was asked on a different program, 215 00:11:26,840 --> 00:11:28,480 Speaker 1: you know, aren't we going to just have to live 216 00:11:28,520 --> 00:11:31,400 Speaker 1: with this thing? He's still reiterating this absurd like we 217 00:11:31,679 --> 00:11:33,679 Speaker 1: need to get down to ten thousand cases, which he 218 00:11:33,800 --> 00:11:37,199 Speaker 1: just like pulled down of his butt someday, but he's 219 00:11:37,440 --> 00:11:40,160 Speaker 1: also indicates that, yeah, we're probably just going to have 220 00:11:40,200 --> 00:11:41,720 Speaker 1: to live with this virus. Let's take a listen to 221 00:11:41,720 --> 00:11:44,600 Speaker 1: that asked that you would like to get under ten 222 00:11:44,679 --> 00:11:47,760 Speaker 1: thousand infections a day in order to sort of live 223 00:11:47,960 --> 00:11:52,320 Speaker 1: with COVID. We've heard people say, understandably they're trying to 224 00:11:52,360 --> 00:11:55,440 Speaker 1: look for a metric to give to the public that 225 00:11:55,480 --> 00:11:58,880 Speaker 1: we're going to have to start living with COVID. I 226 00:11:58,880 --> 00:12:00,840 Speaker 1: believe that's the case, so I don't think we're going 227 00:12:00,880 --> 00:12:03,280 Speaker 1: to eradicate it. The best way you can get to 228 00:12:03,320 --> 00:12:06,240 Speaker 1: where you want to go is to just say, we're 229 00:12:06,240 --> 00:12:08,920 Speaker 1: going to vaccinate as many people as we can, We're 230 00:12:08,920 --> 00:12:10,959 Speaker 1: going to get as many people boosted as we can, 231 00:12:11,360 --> 00:12:13,679 Speaker 1: and we're going to get that level down. And I 232 00:12:13,679 --> 00:12:15,640 Speaker 1: think that's going to have to be as low as 233 00:12:15,720 --> 00:12:19,160 Speaker 1: less than ten thousand. All right, So that's crazy. The 234 00:12:19,200 --> 00:12:22,480 Speaker 1: ten thousand thing is insane. The other stuff about let's 235 00:12:22,520 --> 00:12:25,320 Speaker 1: just say listen, go get vaccinated, get your boosters, like 236 00:12:25,440 --> 00:12:29,240 Speaker 1: take normal precautions if you see a surge. That sensible 237 00:12:29,280 --> 00:12:31,880 Speaker 1: policy at this point. And you know, we've learned a 238 00:12:31,960 --> 00:12:34,480 Speaker 1: lot throughout the course of this about what worked and 239 00:12:34,559 --> 00:12:37,320 Speaker 1: what didn't. The school closures, I think everybody can see 240 00:12:37,320 --> 00:12:39,800 Speaker 1: now we're an utter and complete disaster that didn't do 241 00:12:39,920 --> 00:12:43,680 Speaker 1: much in terms of mitigating health impacts. Some of the 242 00:12:43,720 --> 00:12:46,719 Speaker 1: stimulus programs were effective, some of them weren't. It was 243 00:12:46,760 --> 00:12:49,040 Speaker 1: all disproportionately weighted to the top of the income scale. 244 00:12:49,040 --> 00:12:51,240 Speaker 1: Like we've learned a lot now, and we also, as 245 00:12:51,280 --> 00:12:53,680 Speaker 1: you were, indicating a much different place in terms of 246 00:12:53,720 --> 00:12:56,960 Speaker 1: having vaccines, in terms of having understanding how to care 247 00:12:57,000 --> 00:13:00,640 Speaker 1: for this disease and having medicine that more effective treats it. 248 00:13:01,120 --> 00:13:03,559 Speaker 1: So while of course we're going to keep our eye 249 00:13:03,640 --> 00:13:05,760 Speaker 1: on what goes on with omicron and other variants that 250 00:13:05,840 --> 00:13:08,679 Speaker 1: come out, it's also really important to remember that we 251 00:13:08,880 --> 00:13:11,360 Speaker 1: are not where we were a year ago. And I 252 00:13:11,360 --> 00:13:14,840 Speaker 1: think that's what I wish that this was being specified more. 253 00:13:14,880 --> 00:13:16,839 Speaker 1: You know, I even saw this in terms of people like, 254 00:13:16,880 --> 00:13:20,199 Speaker 1: oh my gosh, we might need omicron specific type boosters. 255 00:13:20,280 --> 00:13:23,240 Speaker 1: I mean for the elderly ninety seventy, you know, seventy 256 00:13:23,320 --> 00:13:25,760 Speaker 1: years old, okay, But for everybody else, I mean, if 257 00:13:25,800 --> 00:13:29,079 Speaker 1: you're already vaccinated, and especially if you have a decent 258 00:13:29,120 --> 00:13:31,160 Speaker 1: amount of antibody immunity, or like me, you both have 259 00:13:31,240 --> 00:13:34,319 Speaker 1: vaccine community and natural immunity or just natural immunity. You're 260 00:13:34,360 --> 00:13:37,040 Speaker 1: seeing here in terms of the symptoms and more, the 261 00:13:37,080 --> 00:13:40,120 Speaker 1: case number does not matter. What matters is the deaths, 262 00:13:40,280 --> 00:13:43,360 Speaker 1: and whenever we see the fact that even in places 263 00:13:43,360 --> 00:13:46,320 Speaker 1: like Gibraltar, which have one hundred percent vaccination rate and 264 00:13:46,400 --> 00:13:49,480 Speaker 1: still see it a case load, which per capita would 265 00:13:49,520 --> 00:13:51,959 Speaker 1: mean more than ten thousand here in the US. It's 266 00:13:52,000 --> 00:13:53,880 Speaker 1: not feasible to get to that. If you have five 267 00:13:53,880 --> 00:13:56,120 Speaker 1: million cases of the cold and nobody dies from the cold, 268 00:13:56,320 --> 00:13:58,360 Speaker 1: then who cares. I mean, yes, I'm not going to 269 00:13:58,400 --> 00:14:01,280 Speaker 1: say that it isn't unpleasant. I don't enjoy getting the cold, 270 00:14:01,320 --> 00:14:03,439 Speaker 1: But that doesn't mean that you, you know, completely change 271 00:14:03,440 --> 00:14:06,600 Speaker 1: and remake all of American society. And I realize I 272 00:14:06,679 --> 00:14:09,160 Speaker 1: may be sounding like the just the flu people back 273 00:14:09,200 --> 00:14:12,160 Speaker 1: in March of twenty twenty. The difference now is that 274 00:14:12,200 --> 00:14:15,280 Speaker 1: this is actually a lot more analogous to the flu, 275 00:14:15,360 --> 00:14:18,080 Speaker 1: and in many cases, the flu is actually more dangerous 276 00:14:18,120 --> 00:14:21,280 Speaker 1: to a lot of different populations, specifically children. So you 277 00:14:21,320 --> 00:14:23,960 Speaker 1: put all that together, we just need to reframe kind 278 00:14:24,000 --> 00:14:26,320 Speaker 1: of how we are. And I wish that the administration 279 00:14:26,480 --> 00:14:30,360 Speaker 1: and the government would reject this new mindset to people. 280 00:14:30,440 --> 00:14:33,240 Speaker 1: Now to your point around the travel restrictions, and a 281 00:14:33,240 --> 00:14:35,520 Speaker 1: certain point, maybe it is kind of theater. Let's put 282 00:14:35,520 --> 00:14:37,880 Speaker 1: this up there on the screen. US will bar travelers 283 00:14:37,880 --> 00:14:40,600 Speaker 1: from eight countries in Southern Africa. Well, we already know 284 00:14:40,800 --> 00:14:43,880 Speaker 1: that we basically got omicron almost certainly here in the US. 285 00:14:43,920 --> 00:14:46,800 Speaker 1: Even doctor Fauci said that it's all across to the 286 00:14:46,920 --> 00:14:50,720 Speaker 1: developed world. We saw in Delta how quickly that came here, 287 00:14:50,760 --> 00:14:53,440 Speaker 1: and we also saw in terms of coronavirus itself. I 288 00:14:53,480 --> 00:14:55,680 Speaker 1: mean there were cases in the West as early as 289 00:14:55,760 --> 00:15:00,520 Speaker 1: November of twenty nineteen. So these things go very you know, 290 00:15:00,640 --> 00:15:03,960 Speaker 1: very well below the radar before the confirm cases even 291 00:15:04,000 --> 00:15:06,840 Speaker 1: pop up. Will it even work, I mean, how feasible 292 00:15:06,880 --> 00:15:09,600 Speaker 1: it is in the long term, I don't really know. 293 00:15:09,720 --> 00:15:12,160 Speaker 1: As as I was saying earlier, maybe part of living 294 00:15:12,160 --> 00:15:14,960 Speaker 1: with an endemic disease is realizing that at a certain 295 00:15:14,960 --> 00:15:17,400 Speaker 1: point you just have to say, look, we've got great therapeutics, 296 00:15:17,400 --> 00:15:18,720 Speaker 1: we've got the vaccine. If you want it, if you 297 00:15:18,760 --> 00:15:20,840 Speaker 1: want a booster, and you know you think it's right 298 00:15:20,880 --> 00:15:24,320 Speaker 1: for you, go ahead. But at we just have to realize, like, 299 00:15:24,600 --> 00:15:27,000 Speaker 1: this is probably what the future looks like. And I'm 300 00:15:27,160 --> 00:15:30,520 Speaker 1: very dismayed because as you're pointing to around South Africa, 301 00:15:30,600 --> 00:15:33,120 Speaker 1: they have thirty five percent. Well, if Africa is at six, 302 00:15:33,280 --> 00:15:37,600 Speaker 1: getting six to thirty sounds pretty good, right, A little 303 00:15:37,640 --> 00:15:40,840 Speaker 1: bit of a better. That's twenty percent of what hundreds 304 00:15:40,880 --> 00:15:43,320 Speaker 1: of millions of people. That's actually a lot and it 305 00:15:43,440 --> 00:15:46,440 Speaker 1: reduces the amount of churn and perhaps even the creation 306 00:15:46,920 --> 00:15:49,400 Speaker 1: and where its variants can jump. And then even then 307 00:15:49,760 --> 00:15:52,600 Speaker 1: you still have a bad situation where variants can be 308 00:15:53,080 --> 00:15:55,960 Speaker 1: you know, can evolve and create the future. So really, 309 00:15:55,960 --> 00:15:58,280 Speaker 1: what I'm saying is is that this is actually a 310 00:15:58,320 --> 00:16:01,520 Speaker 1: preview of the future of Amaicron, of what it looks 311 00:16:01,560 --> 00:16:04,400 Speaker 1: like eventually living with an endemic disease. Most people on 312 00:16:04,440 --> 00:16:06,880 Speaker 1: Earth are probably going to get COVID and have antibodies 313 00:16:06,920 --> 00:16:10,120 Speaker 1: of some sort, having therapeutics, vaccines, boosters and all that 314 00:16:10,160 --> 00:16:11,560 Speaker 1: will make it so that it won't kill you. And 315 00:16:11,600 --> 00:16:13,480 Speaker 1: I think that that's probably the best outcome that we 316 00:16:13,520 --> 00:16:16,720 Speaker 1: can hope for. Salary, you have done international travel in 317 00:16:16,840 --> 00:16:20,800 Speaker 1: the COVID era from Costa Rica. What because the provisions 318 00:16:20,840 --> 00:16:24,080 Speaker 1: already in place, yes, are pretty stringent, so it's not 319 00:16:24,200 --> 00:16:26,880 Speaker 1: like it's just all willy nilly. Anyone can fly who's 320 00:16:26,920 --> 00:16:29,600 Speaker 1: like coughing and sneezing and has a fever. Tell people 321 00:16:29,600 --> 00:16:31,240 Speaker 1: what the procedures are, so I can tell you I 322 00:16:31,320 --> 00:16:33,360 Speaker 1: just got back. What you have to do is you 323 00:16:33,440 --> 00:16:36,080 Speaker 1: have to get a test if you're vaccinated. You're allowed 324 00:16:36,120 --> 00:16:38,520 Speaker 1: to get that test three days before you enter the 325 00:16:38,600 --> 00:16:41,760 Speaker 1: United States, you have to give that to the QUS 326 00:16:41,840 --> 00:16:44,440 Speaker 1: Customs and Border Patrol. They won't even let you board 327 00:16:44,440 --> 00:16:47,080 Speaker 1: the flight. It depends whenever you're going to other countries. 328 00:16:47,120 --> 00:16:48,960 Speaker 1: Is actually much more stringent. So I just went to 329 00:16:48,960 --> 00:16:51,320 Speaker 1: Costa Rica. To enter Costa Rica, I had to upload 330 00:16:51,600 --> 00:16:54,640 Speaker 1: my vaccination card to their government website. Then I had 331 00:16:54,680 --> 00:16:57,200 Speaker 1: to show them a QR code whenever I entered their country. 332 00:16:57,440 --> 00:17:00,360 Speaker 1: Talk about contract tracing. We're exactly exactly where sitting on 333 00:17:00,360 --> 00:17:02,360 Speaker 1: the plane. Every place that I've been to. When I 334 00:17:02,360 --> 00:17:04,640 Speaker 1: went to France, obviously they have, you know, the most 335 00:17:04,640 --> 00:17:07,640 Speaker 1: stringent where you cannot even eat out in a restaurant. 336 00:17:07,680 --> 00:17:10,720 Speaker 1: I was checked at almost every even very small towns 337 00:17:10,720 --> 00:17:13,280 Speaker 1: in France, like Amien. There's something way up north in 338 00:17:13,320 --> 00:17:16,600 Speaker 1: a cafe or something. Everybody is checking your vaccination card 339 00:17:16,600 --> 00:17:19,160 Speaker 1: against your passport all of that. So yeah, I mean, look, 340 00:17:19,200 --> 00:17:22,480 Speaker 1: we have pretty stringent procedures. If you're not vaccinated, then 341 00:17:22,520 --> 00:17:25,160 Speaker 1: you actually have to have a test within twenty four 342 00:17:25,160 --> 00:17:28,199 Speaker 1: hours to enter the United States, and I think it 343 00:17:28,280 --> 00:17:30,639 Speaker 1: might have to be a PCR. They won't even let 344 00:17:30,680 --> 00:17:32,960 Speaker 1: you do like a rapid antigen test. So that's just 345 00:17:33,119 --> 00:17:36,159 Speaker 1: I've done it twice now in the COVID environment. This 346 00:17:36,280 --> 00:17:38,639 Speaker 1: is what it's like. It is actually pretty stringent, you know, 347 00:17:38,960 --> 00:17:41,560 Speaker 1: entering the US and other countries are even more stringent 348 00:17:41,760 --> 00:17:43,800 Speaker 1: than US. I think, you know, maybe that's just how 349 00:17:43,800 --> 00:17:46,040 Speaker 1: it's going to be from the future. I think that's okay. 350 00:17:46,160 --> 00:17:49,200 Speaker 1: And there are actually a decent amount of procedures in place. 351 00:17:49,320 --> 00:17:51,600 Speaker 1: Many other countries are a lot more hardcore than US. 352 00:17:51,680 --> 00:17:54,359 Speaker 1: I found that out, and in terms of mask wearing 353 00:17:54,440 --> 00:17:56,560 Speaker 1: and procedure and all of that. So for those of 354 00:17:56,600 --> 00:17:58,520 Speaker 1: you complaining it could be a lot worse, it could 355 00:17:58,520 --> 00:18:00,000 Speaker 1: be a lot worse. Well, a lot of people are 356 00:18:00,080 --> 00:18:04,119 Speaker 1: pointing out we'll discover this here too. President Biden's stance 357 00:18:04,200 --> 00:18:07,320 Speaker 1: towards travel ban a little different. Now different then back 358 00:18:07,359 --> 00:18:09,239 Speaker 1: at the beginning of the pandemic. You can see him 359 00:18:09,240 --> 00:18:11,800 Speaker 1: there on the right saying, oh, this is when Trump 360 00:18:11,840 --> 00:18:14,520 Speaker 1: instituted a travel ban right at the beginning of the pandemic. 361 00:18:14,880 --> 00:18:17,199 Speaker 1: While will not stop the coronavirus, banning all travel from 362 00:18:17,240 --> 00:18:18,919 Speaker 1: Europe or any the part of the world will not 363 00:18:19,000 --> 00:18:21,840 Speaker 1: stop it. This disease could impact every nation and any 364 00:18:21,880 --> 00:18:23,879 Speaker 1: person on the planet, and we need a plan to 365 00:18:24,000 --> 00:18:27,600 Speaker 1: combat it. Of course, you know, and raised other concerns 366 00:18:27,600 --> 00:18:30,479 Speaker 1: about the travel ban at the beginning, and frankly, I 367 00:18:30,480 --> 00:18:33,119 Speaker 1: mean he's kind of right at that point. Now the 368 00:18:33,160 --> 00:18:35,159 Speaker 1: travel ban, a lot of experts are saying this is 369 00:18:35,160 --> 00:18:38,080 Speaker 1: effectively theater. It's not really going to do anything, and 370 00:18:38,119 --> 00:18:42,080 Speaker 1: you're ultimately punishing South Africa, which did the right thing 371 00:18:42,480 --> 00:18:46,040 Speaker 1: and was very effective in sequencing and tracing these viruses 372 00:18:46,080 --> 00:18:48,199 Speaker 1: so that they could alert the world to this new variant. So, 373 00:18:48,760 --> 00:18:50,560 Speaker 1: like I said, we're going to talk to doctor Abdul 374 00:18:50,840 --> 00:18:53,199 Speaker 1: elsaiad get his view on all of this and he 375 00:18:53,240 --> 00:18:55,639 Speaker 1: can break down for us more specifically what we know 376 00:18:55,760 --> 00:18:58,480 Speaker 1: about this thing. But this is the top line information 377 00:18:58,520 --> 00:19:01,760 Speaker 1: that you need to know concern but we don't know 378 00:19:01,960 --> 00:19:04,360 Speaker 1: a whole lot about it at this point. Is effectively 379 00:19:04,359 --> 00:19:09,720 Speaker 1: where we are there. You go, all right, interesting news 380 00:19:09,720 --> 00:19:12,000 Speaker 1: from the president about his Thanksgiving. Well, we had to 381 00:19:12,080 --> 00:19:15,040 Speaker 1: keep everybody updated. What is Joe Biden doing for Thanksgiving? 382 00:19:15,040 --> 00:19:16,800 Speaker 1: Most of the time they go home, you know, he's 383 00:19:16,840 --> 00:19:18,560 Speaker 1: actually been to Delaware. He goes there all the time, 384 00:19:18,680 --> 00:19:21,720 Speaker 1: no worries, you know, that's where he's from. But President 385 00:19:21,720 --> 00:19:24,040 Speaker 1: Biden chose to spend Thanksgiving in a little bit of 386 00:19:24,080 --> 00:19:26,880 Speaker 1: a different environment more befitting a man of a stature. 387 00:19:26,920 --> 00:19:29,520 Speaker 1: Let's put this up there on the screen. He has 388 00:19:29,560 --> 00:19:33,800 Speaker 1: decided to spend his Thanksgiving meal at the thirty million 389 00:19:33,880 --> 00:19:40,479 Speaker 1: dollar Nantucket home of private equity billionaire David Rubinstein. Interesting, So, 390 00:19:40,720 --> 00:19:43,720 Speaker 1: the White House confirmed that Biden and his family would 391 00:19:43,720 --> 00:19:48,080 Speaker 1: spend the long weekend at Carlisle Group co founder David 392 00:19:48,119 --> 00:19:51,920 Speaker 1: Rubinstein's thirty million dollar property. He would be traveling abroad, 393 00:19:52,000 --> 00:19:54,439 Speaker 1: and he would not be at the dinner. So he 394 00:19:54,480 --> 00:19:57,280 Speaker 1: went ahead and said, oh, well, mister President, you are 395 00:19:57,400 --> 00:20:01,960 Speaker 1: very welcome to sit here at our Nantucket state of 396 00:20:02,000 --> 00:20:04,800 Speaker 1: which we won't be at. It is completely at your 397 00:20:05,520 --> 00:20:09,560 Speaker 1: it's completely at your discretion. These are the types of 398 00:20:09,880 --> 00:20:14,239 Speaker 1: just ridiculous and naked displays where Biden feels as if 399 00:20:14,240 --> 00:20:17,720 Speaker 1: he will suffer no consequence while people are having the 400 00:20:17,760 --> 00:20:22,119 Speaker 1: most expensive Thanksgiving meal of their lives. And no. Undoubtedly, 401 00:20:22,160 --> 00:20:24,520 Speaker 1: I bet it was a topic of discussion. Hopefully you 402 00:20:24,560 --> 00:20:27,000 Speaker 1: all followed Crystal's lead and did not bring up anything 403 00:20:27,320 --> 00:20:30,560 Speaker 1: annoying and political, but to the extent, oh really, I'm 404 00:20:30,600 --> 00:20:34,000 Speaker 1: surprised by that. I lived by it at my own meal, 405 00:20:34,280 --> 00:20:37,000 Speaker 1: and I think it's very important though that people what 406 00:20:37,080 --> 00:20:40,360 Speaker 1: were people talking about inflation and gas prizes, probably schools 407 00:20:40,400 --> 00:20:42,359 Speaker 1: as well, if you put those three together. To the 408 00:20:42,400 --> 00:20:44,920 Speaker 1: extent that anyone was talking about current events, it was those. 409 00:20:45,000 --> 00:20:47,600 Speaker 1: And while he's doing that, he's dining, you know, at 410 00:20:47,600 --> 00:20:49,920 Speaker 1: the home of this private equity billionaire. And I I also 411 00:20:50,000 --> 00:20:51,960 Speaker 1: questioned did he pay him rent? Because you know, I 412 00:20:52,000 --> 00:20:56,240 Speaker 1: seem to recall who's that idiot, the EPA administrator, Scott 413 00:20:56,280 --> 00:21:00,000 Speaker 1: Atlas or whatever. No, not sorry, Scott Pruitt, that was 414 00:21:00,000 --> 00:21:02,240 Speaker 1: his name, the EPA guy who ended up staying in 415 00:21:02,240 --> 00:21:04,760 Speaker 1: somebody's house and not paying him any rent. Anyway, when 416 00:21:04,800 --> 00:21:06,920 Speaker 1: you're a government official, you're not supposed to actually take 417 00:21:06,960 --> 00:21:09,320 Speaker 1: these types of inkind benefits. Although I guess when you're 418 00:21:09,359 --> 00:21:11,520 Speaker 1: the president you're exempt, as we found out under Trump. 419 00:21:11,600 --> 00:21:15,080 Speaker 1: So I guess it's cool. But yeah, I mean, I 420 00:21:15,080 --> 00:21:18,679 Speaker 1: think it's a pretty disgusting display of wealth to be 421 00:21:18,920 --> 00:21:21,800 Speaker 1: in a thirty million dollar mansion, at the home of 422 00:21:21,840 --> 00:21:25,840 Speaker 1: a private equity billionaire, not even in your own house, 423 00:21:26,200 --> 00:21:29,080 Speaker 1: nakedly shoving it in people's faces. He was hanging out 424 00:21:29,119 --> 00:21:31,080 Speaker 1: at all of these like rich stores in Nantucket. And 425 00:21:31,160 --> 00:21:33,359 Speaker 1: look once again like if you're a private citizen, fine, 426 00:21:33,400 --> 00:21:35,600 Speaker 1: but you're the president of the United States. He's hanging 427 00:21:35,640 --> 00:21:38,320 Speaker 1: out there with Hunter Biden and you know, his grandchildren 428 00:21:38,400 --> 00:21:42,479 Speaker 1: going to like lease differently, shock, yeah, following exactly. Obama 429 00:21:42,520 --> 00:21:46,000 Speaker 1: actually lives a Marc's vineyard in Massachusetts. So you know, 430 00:21:46,080 --> 00:21:48,280 Speaker 1: it's the perfect display. And at the very same time, 431 00:21:48,320 --> 00:21:50,760 Speaker 1: Crystal the politico, you know, put out kind of a 432 00:21:50,800 --> 00:21:53,879 Speaker 1: Thanksgiving special. Let's put this up there on the screen. 433 00:21:54,200 --> 00:21:58,959 Speaker 1: The Democratic brand is broken. Really, the infrastructure bill isn't fixing. 434 00:21:59,119 --> 00:22:02,239 Speaker 1: I wonder why. Now. What I love here is that 435 00:22:02,240 --> 00:22:05,159 Speaker 1: they put focus on a focus group actually put together 436 00:22:05,400 --> 00:22:06,879 Speaker 1: by Third Way. Now, as you said, you know, you 437 00:22:06,920 --> 00:22:09,000 Speaker 1: may have an ideological difference with Third Way, but the 438 00:22:09,040 --> 00:22:11,560 Speaker 1: focus group's actually pretty good. And these are just direct quotes, 439 00:22:11,760 --> 00:22:14,879 Speaker 1: you know, from people in suburban Virginia, and what they 440 00:22:14,960 --> 00:22:18,240 Speaker 1: point to time and time again is that even with 441 00:22:18,359 --> 00:22:20,960 Speaker 1: the Democrats, you know, expecting to lose their house and more, 442 00:22:21,200 --> 00:22:23,479 Speaker 1: is that it is going to be even worse than 443 00:22:23,520 --> 00:22:26,440 Speaker 1: we could possibly imagine. Because what the focus group point 444 00:22:26,480 --> 00:22:29,760 Speaker 1: to is that voters believe the economy is bad. No 445 00:22:30,000 --> 00:22:33,480 Speaker 1: amount of stats can change their mind. In terms of 446 00:22:33,520 --> 00:22:35,800 Speaker 1: the White House and Kamala Harris, you know, putting out 447 00:22:35,800 --> 00:22:38,800 Speaker 1: these ridiculous charts, being like, actually everything is fine. They 448 00:22:38,800 --> 00:22:40,800 Speaker 1: say jobs numbers, wage numbers, the number of people will 449 00:22:40,800 --> 00:22:43,760 Speaker 1: put back to work. It does not move them. Instead, 450 00:22:44,160 --> 00:22:47,480 Speaker 1: we should still talk about the things like more wages 451 00:22:47,480 --> 00:22:49,320 Speaker 1: and back to number one, but realize that they don't 452 00:22:49,359 --> 00:22:52,800 Speaker 1: have impact. Whenever people see help wanted signs all over 453 00:22:52,840 --> 00:22:57,040 Speaker 1: main street, restaurants sections closed for lack of workers, rising prices, 454 00:22:57,080 --> 00:23:00,240 Speaker 1: and supplied disruptions even where things are getting better better, 455 00:23:00,440 --> 00:23:02,919 Speaker 1: Biden does not get the credit. And what they actually 456 00:23:02,920 --> 00:23:06,960 Speaker 1: point to within is the disconnect between the stuff they 457 00:23:07,000 --> 00:23:09,360 Speaker 1: feel is going on in your life and then all 458 00:23:09,400 --> 00:23:13,399 Speaker 1: the stuff happening here in Washington. Cinema tax increase on 459 00:23:13,520 --> 00:23:16,439 Speaker 1: this no carried into sloophole. Also, none of the social 460 00:23:16,480 --> 00:23:19,240 Speaker 1: programs will really impact you all that much because of 461 00:23:19,280 --> 00:23:21,880 Speaker 1: all the means testing. All that stuff very hard to understand, 462 00:23:22,080 --> 00:23:26,800 Speaker 1: so irrelevant. At the same time, pump more expensive, gas 463 00:23:26,800 --> 00:23:29,840 Speaker 1: station more expensive exactly what's going on in day to 464 00:23:29,920 --> 00:23:32,080 Speaker 1: day life. I mean, I'm not the only guy who's 465 00:23:32,080 --> 00:23:33,880 Speaker 1: seen this. You go all over this country, you can't 466 00:23:33,880 --> 00:23:36,000 Speaker 1: go into a place where that help wanted sign or 467 00:23:36,040 --> 00:23:39,600 Speaker 1: something like that, and it's just completely disrupting the way 468 00:23:39,600 --> 00:23:41,800 Speaker 1: that life was supposed to be. Biden said, we go 469 00:23:41,840 --> 00:23:44,199 Speaker 1: back to normal. It's not normal. And you put that 470 00:23:44,240 --> 00:23:47,160 Speaker 1: all together, especially with the lack of legislative vision from 471 00:23:47,160 --> 00:23:48,840 Speaker 1: the White House and what I mean, it's been almost 472 00:23:48,840 --> 00:23:51,439 Speaker 1: president for almost a year at this point. It's on 473 00:23:51,560 --> 00:23:54,560 Speaker 1: you now, dude. Well, the funniest part is they said 474 00:23:55,000 --> 00:23:57,400 Speaker 1: most of the voters Third Way spoke with in suburban 475 00:23:57,480 --> 00:24:00,439 Speaker 1: Virginia focus groups, according to the report quote, could not 476 00:24:00,600 --> 00:24:03,440 Speaker 1: articulate would Democrats stand for. They could also not say 477 00:24:03,440 --> 00:24:06,840 Speaker 1: what they are doing in Washington. Besides fighting the irony 478 00:24:06,880 --> 00:24:08,840 Speaker 1: of Third Way putting out this report and doing these 479 00:24:08,840 --> 00:24:11,040 Speaker 1: focus groups is they are part of the reason that 480 00:24:11,119 --> 00:24:14,040 Speaker 1: Democrats stand for nothing. Like their answer would to this 481 00:24:14,080 --> 00:24:16,200 Speaker 1: would be like, that's why they should do even less, 482 00:24:16,320 --> 00:24:19,560 Speaker 1: That's why they should means test even more. But the 483 00:24:19,560 --> 00:24:22,440 Speaker 1: insights for the voters are very interesting. Look, as we've 484 00:24:22,440 --> 00:24:25,520 Speaker 1: been saying here, the biggest problem for Democrats honestly is 485 00:24:25,640 --> 00:24:30,960 Speaker 1: optics like Pelosi officiating the Ivy Getty wedding or Biden 486 00:24:31,119 --> 00:24:36,920 Speaker 1: at a freaking private equity billionaire's house on Thanksgiving. I mean, 487 00:24:37,440 --> 00:24:41,359 Speaker 1: you could not possibly write a better attack ad for 488 00:24:41,480 --> 00:24:44,280 Speaker 1: how out of touch this man has become from the 489 00:24:44,320 --> 00:24:47,320 Speaker 1: people that he was sent there to serve. And it's 490 00:24:47,400 --> 00:24:51,679 Speaker 1: not as if Carlisle Group doesn't have, you know, impending 491 00:24:51,800 --> 00:24:54,399 Speaker 1: business before the federal government. This is something that our 492 00:24:54,400 --> 00:24:57,240 Speaker 1: friend David Serota pointed out, which was quoted in this piece. 493 00:24:57,760 --> 00:25:01,280 Speaker 1: Quote President Biden is vacationing at the Nantucket home of 494 00:25:01,320 --> 00:25:05,119 Speaker 1: a billionaire whose private equity firm is right now lobbying 495 00:25:05,440 --> 00:25:08,560 Speaker 1: to shape Biden's final build back Better bill. It's already 496 00:25:08,720 --> 00:25:11,200 Speaker 1: very let them eat cake for President to hang out 497 00:25:11,240 --> 00:25:14,480 Speaker 1: at a billionaire's Nantucket pad, But it is some real 498 00:25:14,600 --> 00:25:17,920 Speaker 1: Gilded Age shit when the billionaire's private equity firm has 499 00:25:17,960 --> 00:25:21,679 Speaker 1: all sorts of interests before the government right now. So 500 00:25:22,000 --> 00:25:25,160 Speaker 1: it's not just the optics, it's also the corruption. It's 501 00:25:25,200 --> 00:25:28,280 Speaker 1: also the fact that, I mean, this just underscores again 502 00:25:29,200 --> 00:25:33,679 Speaker 1: who our political class actually serves, who they see themselves 503 00:25:33,720 --> 00:25:37,080 Speaker 1: as part of their social circle, who they're socializing with, 504 00:25:37,359 --> 00:25:40,199 Speaker 1: and human beings being how they are. Those are then 505 00:25:40,240 --> 00:25:44,320 Speaker 1: the views that end up shaping your thoughts and ultimately 506 00:25:44,480 --> 00:25:47,360 Speaker 1: the legislation that has passed. That's why this is such 507 00:25:47,400 --> 00:25:50,160 Speaker 1: a problem. And just to show you, i mean, Glenn 508 00:25:50,200 --> 00:25:52,720 Speaker 1: Youngkin who just got elected in Virginia. Oh, it was 509 00:25:52,840 --> 00:25:57,760 Speaker 1: a Carlisle Group executive for decades, and Terry mccalluff, who 510 00:25:57,800 --> 00:26:00,520 Speaker 1: was running against him as the Democrat. I didn't point 511 00:26:00,560 --> 00:26:04,600 Speaker 1: it out because he had made massive investments in Carlisle 512 00:26:04,680 --> 00:26:07,960 Speaker 1: Group and they are just as nefarious as your average 513 00:26:08,040 --> 00:26:11,399 Speaker 1: private equity firm. In fact, they first came to major 514 00:26:11,440 --> 00:26:14,840 Speaker 1: public prominence thanks to Michael Moore Fahrenheit nine to eleven 515 00:26:14,880 --> 00:26:19,920 Speaker 1: all joining out that George Bush Senior was on their board. 516 00:26:20,320 --> 00:26:22,919 Speaker 1: They profited massively because they had these big investments in 517 00:26:22,960 --> 00:26:25,440 Speaker 1: the defense industry when we decided to go to war 518 00:26:25,600 --> 00:26:28,840 Speaker 1: on false pretenses in Iraq and also you know, in 519 00:26:28,880 --> 00:26:32,439 Speaker 1: Afghanistan to get the bad guys. So yeah, those are 520 00:26:32,440 --> 00:26:35,800 Speaker 1: the types of entities and individuals that both our parties 521 00:26:35,880 --> 00:26:39,000 Speaker 1: love to surround themselves with and ultimately aspire to be 522 00:26:39,080 --> 00:26:41,199 Speaker 1: part of that class rather than aspiring, i don't know, 523 00:26:41,240 --> 00:26:43,560 Speaker 1: to maybe serve you and make sure you can enjoy 524 00:26:43,640 --> 00:26:46,240 Speaker 1: a nice Thanksgiving dinner as well. Yeah, you can't create 525 00:26:46,240 --> 00:26:50,280 Speaker 1: a better uniparty meme than Glenn Youngkin, the recently governor 526 00:26:50,320 --> 00:26:52,960 Speaker 1: elect of the State of Virginia, being the former co 527 00:26:53,080 --> 00:26:56,159 Speaker 1: CEO of the Carlisle Group while the Democratic President of 528 00:26:56,160 --> 00:26:59,520 Speaker 1: the United States staying in the Carlisle Group founder's home 529 00:26:59,640 --> 00:27:03,840 Speaker 1: in Nantucket. Presumably great, how co I mean that just 530 00:27:03,920 --> 00:27:05,960 Speaker 1: goes to show you where we are. It's like you 531 00:27:06,000 --> 00:27:09,800 Speaker 1: can't escape because these people have tentacles and hands in 532 00:27:09,840 --> 00:27:13,040 Speaker 1: both parties, and they're making ensure that their interests are 533 00:27:13,080 --> 00:27:16,160 Speaker 1: absolutely represented whenever it comes to the table. And there's 534 00:27:16,240 --> 00:27:18,680 Speaker 1: just nothing that you can really get. There's no way 535 00:27:18,720 --> 00:27:21,199 Speaker 1: to skirt it on the national political stage, on the 536 00:27:21,240 --> 00:27:23,679 Speaker 1: current environment. And I really got to say, like with Biden, 537 00:27:23,920 --> 00:27:26,080 Speaker 1: do you not think the man would have better political 538 00:27:26,080 --> 00:27:28,399 Speaker 1: instincts in this What is wrong with you? Yeah? You know, 539 00:27:28,440 --> 00:27:30,840 Speaker 1: if you go and you read like Bill Clinton. I 540 00:27:30,880 --> 00:27:33,680 Speaker 1: read Bill Clinton's biography. He was having really tough time 541 00:27:33,720 --> 00:27:36,959 Speaker 1: in ninety three in terms of his political environment. Very 542 00:27:37,000 --> 00:27:39,840 Speaker 1: similar actually, and they were like, look sir, people think 543 00:27:39,840 --> 00:27:42,159 Speaker 1: you're out of touch. People think that you're pushing stuff 544 00:27:42,320 --> 00:27:44,280 Speaker 1: that is not in line with us. So we need 545 00:27:44,320 --> 00:27:46,080 Speaker 1: to get your ass out west and put you on 546 00:27:46,119 --> 00:27:49,119 Speaker 1: a horse. He was outing. Yeah, he did like a 547 00:27:49,200 --> 00:27:51,600 Speaker 1: how he did like a horse riding thing where he 548 00:27:51,680 --> 00:27:55,480 Speaker 1: wore it looked ridiculous. Okay, he's a Yale educated Georgetown lawyer, 549 00:27:55,520 --> 00:27:58,159 Speaker 1: which is fine. You know, he happens to have an accent. 550 00:27:58,240 --> 00:28:01,320 Speaker 1: But at the same time, they at least tried to 551 00:28:01,440 --> 00:28:03,880 Speaker 1: build him in hard, you know, to try at least 552 00:28:04,240 --> 00:28:06,800 Speaker 1: tried to make him seem as if he was more 553 00:28:06,920 --> 00:28:09,840 Speaker 1: you know, in tune with the average American. I mean, 554 00:28:09,920 --> 00:28:12,040 Speaker 1: white working class people are the people who elected Bill 555 00:28:12,080 --> 00:28:15,879 Speaker 1: Clinton too, ultimately, and so you look then at Biden 556 00:28:15,960 --> 00:28:18,520 Speaker 1: and he just doesn't care. I mean, the pretense at 557 00:28:18,520 --> 00:28:21,280 Speaker 1: the lowest point in your presidency to go and have 558 00:28:21,359 --> 00:28:24,800 Speaker 1: vacation and hang out at a billionaire's house in Nantucket, 559 00:28:25,080 --> 00:28:27,760 Speaker 1: I can't imagine, you know, in terms of the optics, 560 00:28:27,800 --> 00:28:30,600 Speaker 1: it's said, such a dumb move. Obama at least waited 561 00:28:30,720 --> 00:28:33,720 Speaker 1: until he left office to start doing this type of stuff. 562 00:28:33,760 --> 00:28:36,000 Speaker 1: But you know, it's a mask off moment. It just 563 00:28:36,040 --> 00:28:38,800 Speaker 1: shows us who these people really are. Indeed, speaking of 564 00:28:39,400 --> 00:28:43,040 Speaker 1: masks off and people being who they really are, CNN 565 00:28:43,200 --> 00:28:46,920 Speaker 1: has a wonderful op ed saying, you know, Kamala Harris 566 00:28:46,960 --> 00:28:50,080 Speaker 1: and Pete Boodhagi, they should put all this infighting and 567 00:28:50,160 --> 00:28:53,720 Speaker 1: tension aside and they should just join up together. And 568 00:28:53,840 --> 00:28:58,240 Speaker 1: what this individual describes as a dream ticket for the 569 00:28:58,280 --> 00:29:00,760 Speaker 1: Democratic Party. Let's go ahead and throw this of ed 570 00:29:01,040 --> 00:29:06,240 Speaker 1: up on the screen. This is amazing, just the brainworms 571 00:29:06,600 --> 00:29:09,920 Speaker 1: that have infected people with influence in the Democratic Party. 572 00:29:10,000 --> 00:29:12,320 Speaker 1: Let me read this tweet. Kama Harris and Pete Budagic 573 00:29:12,480 --> 00:29:14,920 Speaker 1: could agree to run together in twenty twenty four if 574 00:29:14,920 --> 00:29:17,640 Speaker 1: Biden does not run again, giving the Democratic Party a 575 00:29:17,880 --> 00:29:21,040 Speaker 1: very strong ticket. That would seem like a natural continuation 576 00:29:21,440 --> 00:29:25,160 Speaker 1: of Biden's first term. Some of the details here, I mean, 577 00:29:25,320 --> 00:29:30,600 Speaker 1: it just is a perfect case study of the foolish 578 00:29:30,680 --> 00:29:34,239 Speaker 1: direction that they have taken the Democratic Party in. So 579 00:29:34,520 --> 00:29:38,080 Speaker 1: the case here is basically like, oh, well, they have 580 00:29:38,160 --> 00:29:41,440 Speaker 1: these different demographic identities, and oh they hail from different 581 00:29:41,480 --> 00:29:45,440 Speaker 1: parts of the country. To the extent that any sort 582 00:29:45,440 --> 00:29:48,400 Speaker 1: of ideology is brought up here, they're saying, look, the 583 00:29:48,440 --> 00:29:50,240 Speaker 1: right wing has tried to paint Harris as being on 584 00:29:50,280 --> 00:29:52,880 Speaker 1: the far left, but that attack never got much traction. 585 00:29:53,320 --> 00:29:56,520 Speaker 1: So making the case that somehow Kama and Pete are 586 00:29:56,560 --> 00:29:59,680 Speaker 1: going to be the ideological dream ticket. Also of the 587 00:29:59,800 --> 00:30:02,600 Speaker 1: name at large, which reminded me of the study we 588 00:30:02,680 --> 00:30:06,040 Speaker 1: covered from Jacobin, which said, actually that lane they occupy 589 00:30:06,240 --> 00:30:10,959 Speaker 1: of the woke corporatist is the worst possible lane that 590 00:30:11,000 --> 00:30:13,400 Speaker 1: you could be in. When they asked all these different 591 00:30:13,480 --> 00:30:16,000 Speaker 1: voters like do you like this candidate versus this candidate 592 00:30:16,000 --> 00:30:19,240 Speaker 1: and gave them the messaging that was literally based on 593 00:30:19,640 --> 00:30:22,080 Speaker 1: Kamala Harrison. I think it was Beto, not heat Bootigi, 594 00:30:22,560 --> 00:30:26,640 Speaker 1: but based on Kamala and Beto. That was the type 595 00:30:26,640 --> 00:30:31,760 Speaker 1: of candidate, the woke corporatist candidate that people hated the most. 596 00:30:32,320 --> 00:30:34,800 Speaker 1: So they want to put them together on one ticket, 597 00:30:34,880 --> 00:30:38,840 Speaker 1: which is incredible, He writes, This individual Lincoln Mitchell, Harris 598 00:30:38,880 --> 00:30:41,000 Speaker 1: Buotagig could turn out to be a dream ticket for 599 00:30:41,040 --> 00:30:45,480 Speaker 1: the Democrats while simultaneously avoiding a potentially damaging dynamic both 600 00:30:45,480 --> 00:30:49,360 Speaker 1: within the administration and any possible democratic primary. God forbid, 601 00:30:49,400 --> 00:30:51,920 Speaker 1: we have any democracy and let voters really have a 602 00:30:52,000 --> 00:30:55,040 Speaker 1: say about who they may want to send them next. 603 00:30:55,080 --> 00:30:57,680 Speaker 1: We can't possibly have that. It's very important in order 604 00:30:57,720 --> 00:31:00,680 Speaker 1: to highlight this stuff because people in Wa Washington are 605 00:31:00,720 --> 00:31:04,600 Speaker 1: becoming increasingly aware as they are leaking to the Washington 606 00:31:04,600 --> 00:31:08,840 Speaker 1: Post as Joe Biden's own presidential campaign co chair, Chris 607 00:31:08,880 --> 00:31:11,720 Speaker 1: Dodd and longtime friend in the Senate, says that he 608 00:31:11,800 --> 00:31:13,720 Speaker 1: may not or is like I hope he runs again, 609 00:31:13,840 --> 00:31:16,480 Speaker 1: AKA saying you know, it's still totally up in the 610 00:31:16,520 --> 00:31:20,760 Speaker 1: air possibility. There are real discussions happening right now in DC, 611 00:31:21,320 --> 00:31:24,560 Speaker 1: looking at the Presden's approval ratings, looking at his very 612 00:31:24,600 --> 00:31:27,480 Speaker 1: obvious you know, kind of checking out at the very 613 00:31:27,480 --> 00:31:29,760 Speaker 1: top of the job, and saying okay, like we really 614 00:31:29,840 --> 00:31:32,320 Speaker 1: really have to prepare for the reality that he may 615 00:31:32,320 --> 00:31:35,600 Speaker 1: not run again in twenty twenty four. Back in twenty 616 00:31:35,680 --> 00:31:37,880 Speaker 1: sixteen he chose not to run for personal reasons. It 617 00:31:37,960 --> 00:31:40,960 Speaker 1: is not outside the realm of possibility. I mean, look, 618 00:31:41,080 --> 00:31:43,840 Speaker 1: the man I think last week turned like seventy nine 619 00:31:43,920 --> 00:31:47,640 Speaker 1: years old, Like he's really old. And look, it's not 620 00:31:47,720 --> 00:31:50,640 Speaker 1: an ageous thing to point to an actuarial table, or 621 00:31:50,680 --> 00:31:53,440 Speaker 1: point to statistics, or point to the general knowledge that 622 00:31:53,480 --> 00:31:56,120 Speaker 1: people are not generally functioning at their best when they 623 00:31:56,160 --> 00:31:58,960 Speaker 1: reach the very very end of the bell curve whenever 624 00:31:58,960 --> 00:32:01,840 Speaker 1: it comes to their life. And so buddhaj Edge and 625 00:32:01,920 --> 00:32:05,280 Speaker 1: Kamala are very aware right now this is their moment, 626 00:32:05,400 --> 00:32:09,080 Speaker 1: the internal fight within the party. Bristly. You'll remember this, 627 00:32:09,400 --> 00:32:13,040 Speaker 1: which is that in the post Obama twenty twelve years, 628 00:32:13,320 --> 00:32:16,880 Speaker 1: By twenty thirteen, it was clear Hillary was getting a 629 00:32:16,920 --> 00:32:20,760 Speaker 1: lock on everybody that was three years out from the nomination. 630 00:32:21,000 --> 00:32:24,920 Speaker 1: She retires from the State Department. Obviously, Benghazi, all of that, 631 00:32:25,200 --> 00:32:27,560 Speaker 1: The real moment for her is that she was going 632 00:32:27,600 --> 00:32:32,920 Speaker 1: around lining up every Democratic consultant, nuking any possible contender 633 00:32:32,960 --> 00:32:35,880 Speaker 1: against her, lining up the right people. She had that 634 00:32:35,920 --> 00:32:39,440 Speaker 1: you know, testimony or whatever in front of the Bengazi hearing, 635 00:32:39,440 --> 00:32:41,240 Speaker 1: and everyone's like, yes, Queen, even though I still don't 636 00:32:41,280 --> 00:32:44,360 Speaker 1: really understand how that came out. And then that put 637 00:32:44,360 --> 00:32:47,200 Speaker 1: her forward for the twenty fifteen announcement that she's officially 638 00:32:47,280 --> 00:32:50,600 Speaker 1: running for president. These things start years early, and that's 639 00:32:50,640 --> 00:32:53,600 Speaker 1: exactly in the cycle of where we are, and bodhaj 640 00:32:53,720 --> 00:32:57,440 Speaker 1: Edge in particular is trying to both play that game 641 00:32:57,680 --> 00:32:59,360 Speaker 1: but also tell the White House no, no no, no, no, 642 00:32:59,520 --> 00:33:01,720 Speaker 1: I don't have my hands on this. So let's put 643 00:33:01,720 --> 00:33:04,440 Speaker 1: this up there. The Buddha Jedge presidential buzz hit the 644 00:33:04,480 --> 00:33:08,320 Speaker 1: White House. Now he wants you to believe his eye 645 00:33:08,480 --> 00:33:11,080 Speaker 1: isn't on the future. This is from Alex Thompson. He's 646 00:33:11,120 --> 00:33:13,440 Speaker 1: a great reporter. And what he points out there is 647 00:33:13,440 --> 00:33:16,920 Speaker 1: that he says, while Botajudge says he's not com contemplating 648 00:33:16,960 --> 00:33:21,200 Speaker 1: the race. Others are imagining it for him. Now, nobody 649 00:33:21,280 --> 00:33:25,640 Speaker 1: in the West wings currently shuts that down. It's very open. 650 00:33:25,960 --> 00:33:29,000 Speaker 1: So that is very important, which is that Budhajedge is 651 00:33:29,040 --> 00:33:30,880 Speaker 1: trying to signal to the White House no, no, no, 652 00:33:30,920 --> 00:33:33,120 Speaker 1: don't worry, I'm not running. But the people in the 653 00:33:33,120 --> 00:33:36,280 Speaker 1: White House are much more open to his type of 654 00:33:36,400 --> 00:33:39,360 Speaker 1: run as opposed to their own Vice president, who is 655 00:33:39,400 --> 00:33:42,720 Speaker 1: a total disaster. And what I also love is that 656 00:33:42,920 --> 00:33:46,560 Speaker 1: the Vice president's staff is playing all sorts of identity politics. 657 00:33:46,760 --> 00:33:49,400 Speaker 1: Check this one out. The chatter has frustrated some staffers 658 00:33:49,400 --> 00:33:53,000 Speaker 1: of color who see it as disrespectful to Kamala Harris 659 00:33:53,200 --> 00:33:56,440 Speaker 1: and thinks senior officials should tamp it down. I mean, 660 00:33:56,680 --> 00:33:59,440 Speaker 1: it's not disrespectful to look at a public poll and 661 00:33:59,480 --> 00:34:02,960 Speaker 1: say this lady is not winning anything, and it ain't 662 00:34:03,080 --> 00:34:06,360 Speaker 1: not nothing to do because of the color of her skin. 663 00:34:06,600 --> 00:34:08,120 Speaker 1: It's got a lot more to do with the fact 664 00:34:08,160 --> 00:34:10,560 Speaker 1: that she just seems like an odious person and is 665 00:34:10,600 --> 00:34:14,480 Speaker 1: a terrible politician. I mean, these are very very long 666 00:34:14,480 --> 00:34:17,640 Speaker 1: standing problems that she has not standing for anything, always 667 00:34:17,640 --> 00:34:20,759 Speaker 1: trying to rebrand, just being and remaining probably one of 668 00:34:20,800 --> 00:34:23,960 Speaker 1: the worst politicians on the national stage since Hillary Clinton. 669 00:34:24,200 --> 00:34:27,360 Speaker 1: But the lock up, I don't think we can discount 670 00:34:27,360 --> 00:34:30,200 Speaker 1: this crystal for the people who are in politics, which 671 00:34:30,239 --> 00:34:32,760 Speaker 1: is she could use identity politics to put a freeze 672 00:34:33,120 --> 00:34:35,799 Speaker 1: on the race and on all the consultants, trying to 673 00:34:35,800 --> 00:34:38,319 Speaker 1: accuse them of being racist or whatever to lock up 674 00:34:38,360 --> 00:34:41,080 Speaker 1: her nomination. So this is a real battle that is 675 00:34:41,080 --> 00:34:43,960 Speaker 1: happening right now in DC that prepares the stage for 676 00:34:44,239 --> 00:34:46,319 Speaker 1: just wait if he doesn't run in twenty twenty four. 677 00:34:46,480 --> 00:34:48,320 Speaker 1: These are the very likely two options they're going to 678 00:34:48,360 --> 00:34:51,160 Speaker 1: put forward. Kamala Harris can never fail. She can only 679 00:34:51,200 --> 00:34:54,279 Speaker 1: be failed, according to her and her staffers. You know, 680 00:34:54,480 --> 00:34:58,320 Speaker 1: it's just always somebody else's fault. They're not supporting her enough. 681 00:34:58,560 --> 00:35:02,000 Speaker 1: She's being treated by the media. That was the most 682 00:35:02,000 --> 00:35:04,880 Speaker 1: insane thing to me in the Democratic primary. They're like, 683 00:35:04,920 --> 00:35:08,080 Speaker 1: the media is so meantime, Like what are you talking about? 684 00:35:08,520 --> 00:35:11,680 Speaker 1: Like they propped you up, They wanted to make you happen. 685 00:35:12,040 --> 00:35:15,040 Speaker 1: They tried so hard to make you happen, and people 686 00:35:15,120 --> 00:35:18,719 Speaker 1: just weren't there for it. The White House clearly realizes, 687 00:35:18,760 --> 00:35:22,240 Speaker 1: and Democratic operatives clearly realize they have a big problem 688 00:35:22,280 --> 00:35:25,600 Speaker 1: here because they know Kamala Harris is a proven loser 689 00:35:25,640 --> 00:35:27,719 Speaker 1: at this point. I mean, just the politics of that 690 00:35:27,880 --> 00:35:31,080 Speaker 1: are what they are very hard to see how that 691 00:35:31,120 --> 00:35:34,200 Speaker 1: gets turned around. And yet you do have this issue 692 00:35:34,239 --> 00:35:37,640 Speaker 1: now of, you know, the moment you try to introduce 693 00:35:37,680 --> 00:35:41,480 Speaker 1: an open primary and put forward, god forbid, Pete Bootage 694 00:35:41,640 --> 00:35:43,719 Speaker 1: or whatever other terrible candidate they want to try to 695 00:35:43,760 --> 00:35:46,680 Speaker 1: replace her with that they are going to have an 696 00:35:46,680 --> 00:35:49,560 Speaker 1: issue with people saying this is racist, this is sexist, 697 00:35:49,600 --> 00:35:52,760 Speaker 1: that you're trying to push the first black woman vice president. 698 00:35:52,840 --> 00:35:55,480 Speaker 1: You're trying to push her aside in order to get 699 00:35:55,520 --> 00:35:58,000 Speaker 1: your you know whoever, your white guy candidate of choices. 700 00:35:58,440 --> 00:36:00,839 Speaker 1: And I guess Pete being you know, the first gay 701 00:36:00,880 --> 00:36:03,280 Speaker 1: president or whatever. I guess that's not enough to trump 702 00:36:03,920 --> 00:36:07,400 Speaker 1: the identity. I mean, this stuff is all just so ridiculous. 703 00:36:07,440 --> 00:36:10,239 Speaker 1: But the real problem is the fact that they are 704 00:36:10,280 --> 00:36:12,440 Speaker 1: trying once again to shut down any sort of a 705 00:36:12,480 --> 00:36:17,280 Speaker 1: democratic process for voters in a democratic primary to maybe 706 00:36:17,280 --> 00:36:20,280 Speaker 1: sort out for themselves who they would like to ultimately 707 00:36:20,320 --> 00:36:22,640 Speaker 1: have at the top of the ticket. The extremely depressing 708 00:36:22,680 --> 00:36:25,400 Speaker 1: thing for me is that I have been racking my 709 00:36:25,560 --> 00:36:28,520 Speaker 1: brain for a single candidate that I would actually be 710 00:36:28,600 --> 00:36:32,400 Speaker 1: like excited about and it's pretty hard to come up with. 711 00:36:32,480 --> 00:36:35,400 Speaker 1: What I mean, there's some that I'd be like, Okay, 712 00:36:35,280 --> 00:36:38,160 Speaker 1: they're okay, they're not bad, Like that would probably be 713 00:36:38,280 --> 00:36:42,520 Speaker 1: better direction than Pete or Kamala. But when we talk 714 00:36:42,560 --> 00:36:44,960 Speaker 1: about what voters actually would like to see from the 715 00:36:45,000 --> 00:36:48,520 Speaker 1: Democratic Party, and again that Jackoman study shows the sort 716 00:36:48,520 --> 00:36:52,200 Speaker 1: of populis progressive. There's almost no one who occupied like 717 00:36:52,200 --> 00:36:55,000 Speaker 1: Bernie Standers, like the only person who occupies that lady's 718 00:36:55,000 --> 00:36:58,560 Speaker 1: like one hundred and fifteen. Now, yeah, I mean, like 719 00:36:59,239 --> 00:37:02,520 Speaker 1: the only one who fits that mold. You can maybe 720 00:37:02,600 --> 00:37:07,439 Speaker 1: say shared Brown. Yeah, maybe you could possibly say John 721 00:37:07,520 --> 00:37:12,120 Speaker 1: Fetterman maybe in Pennsylvania se very identitarian though that's the problem. 722 00:37:12,160 --> 00:37:13,600 Speaker 1: I mean, he's trying to win the primary with these 723 00:37:13,640 --> 00:37:15,799 Speaker 1: Philly suburban y moms, so like I get it. But 724 00:37:15,960 --> 00:37:18,319 Speaker 1: I mean, the man can't go a second without saying 725 00:37:18,360 --> 00:37:21,439 Speaker 1: the word LGBTQ. He leans into it. He leans into 726 00:37:21,440 --> 00:37:25,160 Speaker 1: that lane for sure. And again from that study, it's 727 00:37:25,200 --> 00:37:28,480 Speaker 1: not that you have to like throw racial justice, not 728 00:37:28,560 --> 00:37:31,200 Speaker 1: at all. Actually, you know, support for civil rights and 729 00:37:31,280 --> 00:37:35,840 Speaker 1: racial justice very popular among gettable voters in the working class, 730 00:37:35,880 --> 00:37:38,520 Speaker 1: including the white working class, but they want to feel 731 00:37:38,560 --> 00:37:40,560 Speaker 1: like you're focused on those bread and butter issues that 732 00:37:40,600 --> 00:37:42,120 Speaker 1: are really going to make a difference in their life. 733 00:37:42,239 --> 00:37:46,160 Speaker 1: And I don't think that Kamala Pete is the dream 734 00:37:46,239 --> 00:37:50,840 Speaker 1: ticket that apparently Democratic operatives have decided the nation is 735 00:37:51,000 --> 00:37:53,719 Speaker 1: yearning for. Imagine having to choose being Kamala Pete and 736 00:37:53,760 --> 00:37:56,600 Speaker 1: Donald Trump. That's what they're setting this up for. Okay, 737 00:37:56,800 --> 00:37:59,239 Speaker 1: all right, Yeah, if it's Kamala and Pete, I mean 738 00:37:59,480 --> 00:38:03,160 Speaker 1: Trump's going he will be president. There's zero He's the 739 00:38:03,200 --> 00:38:06,120 Speaker 1: favorite at this point. Who was gonna you know, I mean, 740 00:38:06,400 --> 00:38:08,520 Speaker 1: even if Biden, even if they can like prop him 741 00:38:08,600 --> 00:38:11,200 Speaker 1: up and roll him out again, his approval rating is 742 00:38:11,200 --> 00:38:13,359 Speaker 1: such trash. If they redid the election today, I think 743 00:38:13,360 --> 00:38:15,680 Speaker 1: Trump would win. I think I easily think Trump would win. Yeah, 744 00:38:15,719 --> 00:38:18,960 Speaker 1: I mean I don't see any any possible contender right 745 00:38:19,000 --> 00:38:21,160 Speaker 1: now who could beat him. Although I do, and I 746 00:38:21,160 --> 00:38:24,200 Speaker 1: have said this before, never underestimate Trump's stupidity in an 747 00:38:24,200 --> 00:38:27,400 Speaker 1: ability tore up. Right. He's also an old man, and 748 00:38:27,520 --> 00:38:30,520 Speaker 1: so you know, he portrays a lot more vigor, I 749 00:38:30,560 --> 00:38:32,760 Speaker 1: would say, than Joe Biden does. But he is also 750 00:38:32,840 --> 00:38:35,520 Speaker 1: up there on the actuary tables. Anyway, we have some 751 00:38:35,520 --> 00:38:39,000 Speaker 1: more terrible news for you this time out of Amazon. 752 00:38:39,440 --> 00:38:43,359 Speaker 1: This story is so atrocious and so egregious we had 753 00:38:43,440 --> 00:38:45,879 Speaker 1: to bring it to you. Listen, we have covered many 754 00:38:45,920 --> 00:38:50,120 Speaker 1: times the abhorrent way that Amazon treats their workers, especially 755 00:38:50,160 --> 00:38:53,520 Speaker 1: their workers who decide they might want to agitate for 756 00:38:53,719 --> 00:38:56,080 Speaker 1: a union. Just ask Chris Smalls, who we had on 757 00:38:56,120 --> 00:38:58,200 Speaker 1: the program. Just was that just last week that we 758 00:38:58,239 --> 00:39:00,239 Speaker 1: had Christ on to give us an update on the 759 00:39:00,239 --> 00:39:03,239 Speaker 1: efforts there to try to unionize Amazon. So let's go 760 00:39:03,280 --> 00:39:05,160 Speaker 1: ahead and throw this tear sheet up on the screen. 761 00:39:05,960 --> 00:39:08,960 Speaker 1: A man named Declan Smith, who is twenty five years 762 00:39:09,000 --> 00:39:12,239 Speaker 1: old and who has struggled in his life and is 763 00:39:12,320 --> 00:39:15,600 Speaker 1: currently living in homeless shelter, got a job at the 764 00:39:15,680 --> 00:39:20,759 Speaker 1: Amazon warehouse on Staten Island and he was really he 765 00:39:21,320 --> 00:39:23,000 Speaker 1: really worked hard to make it to that job. It 766 00:39:23,000 --> 00:39:25,480 Speaker 1: took up to three hours on public transit from that 767 00:39:25,520 --> 00:39:28,799 Speaker 1: homeless shelter in order to get to work. He was 768 00:39:28,920 --> 00:39:32,760 Speaker 1: very enthusiastic about his job. He was also very enthusiastic 769 00:39:33,200 --> 00:39:38,839 Speaker 1: about supporting unionization efforts within that Amazon warehouse, something again 770 00:39:38,840 --> 00:39:41,719 Speaker 1: that we just talked to Chris Smells about last week. 771 00:39:42,160 --> 00:39:45,399 Speaker 1: And so even though he's doing a good job at 772 00:39:45,440 --> 00:39:47,680 Speaker 1: work and he's on time, and he's working really hard. 773 00:39:47,760 --> 00:39:52,120 Speaker 1: He's very enthusiastic because he's, according to him, talking up 774 00:39:52,360 --> 00:39:57,360 Speaker 1: unions as well and educating his fellow workers there about 775 00:39:57,400 --> 00:39:59,880 Speaker 1: their rights and about the reasons why they should consider 776 00:40:00,360 --> 00:40:04,720 Speaker 1: joining up with a union. He starts getting attention, negative 777 00:40:04,760 --> 00:40:08,680 Speaker 1: attention from his supervisors. They start pulling him aside. He 778 00:40:08,760 --> 00:40:11,919 Speaker 1: starts getting criticized for the job that he's doing, even 779 00:40:11,960 --> 00:40:15,040 Speaker 1: though you know, by his account he's doing everything by 780 00:40:15,080 --> 00:40:17,279 Speaker 1: the book the way that they want him ultimately to do. 781 00:40:18,000 --> 00:40:20,839 Speaker 1: It comes to a head on October twenty third, his 782 00:40:20,920 --> 00:40:25,120 Speaker 1: supervisor asked to speak with him about his performance. He 783 00:40:25,320 --> 00:40:27,960 Speaker 1: refused to Quan Smith refused to meet with that supervisor 784 00:40:28,040 --> 00:40:31,080 Speaker 1: unless another employee was present. He showed his supervisor a 785 00:40:31,120 --> 00:40:35,400 Speaker 1: card listing his rights, the legal protections that guarantee unionized 786 00:40:35,440 --> 00:40:39,760 Speaker 1: employees the right to union representation during an investigatory interview. 787 00:40:40,600 --> 00:40:42,560 Speaker 1: According to Smith, he said, I just let him know 788 00:40:42,560 --> 00:40:44,360 Speaker 1: I had rights and you can't just talk to me 789 00:40:44,480 --> 00:40:47,000 Speaker 1: like that. But he just looked at me and laughed 790 00:40:47,000 --> 00:40:50,040 Speaker 1: at me and laughed at my union card. After that, 791 00:40:50,080 --> 00:40:53,440 Speaker 1: the supervisor sent him home for the day. Three days later, 792 00:40:53,680 --> 00:40:55,920 Speaker 1: he found he could not log into his account on 793 00:40:56,000 --> 00:41:01,200 Speaker 1: Amazon and he had been fired, he said, because he 794 00:41:01,320 --> 00:41:05,840 Speaker 1: was trying to unionize. That is blatantly illegal. It is 795 00:41:05,840 --> 00:41:08,600 Speaker 1: also not the first time that Amazon has been accused 796 00:41:09,040 --> 00:41:14,440 Speaker 1: of this type of illegal retaliation against workers, including Christian Smalls, 797 00:41:14,600 --> 00:41:17,560 Speaker 1: but not just him, other workers at their plants across 798 00:41:17,600 --> 00:41:21,320 Speaker 1: the country, because they are so desperate to keep anyone 799 00:41:21,360 --> 00:41:26,439 Speaker 1: from agitating for a union at their warehouses. So how 800 00:41:26,480 --> 00:41:28,759 Speaker 1: disgusting is that that you have And at the same 801 00:41:28,800 --> 00:41:31,120 Speaker 1: time they're out there saying, oh, we've got this labor 802 00:41:31,120 --> 00:41:33,680 Speaker 1: shortage problem, et cetera, et cetera. We've got a tear 803 00:41:33,680 --> 00:41:36,040 Speaker 1: sheet of that. This is one of their top executives, 804 00:41:36,080 --> 00:41:40,400 Speaker 1: Dave Clark's the CEO of Amazon's worldwide consumer business, complaining 805 00:41:40,440 --> 00:41:43,520 Speaker 1: about the tight labor market, saying it poses a challenge 806 00:41:43,840 --> 00:41:47,359 Speaker 1: for the world's largest online retailer. So they're not really 807 00:41:47,360 --> 00:41:50,000 Speaker 1: in a position to just like willy nilly, fire people 808 00:41:50,120 --> 00:41:53,680 Speaker 1: because they don't like what they're saying on the shop floor. 809 00:41:54,040 --> 00:41:56,680 Speaker 1: That just shows you even more how desperate they are 810 00:41:56,719 --> 00:42:00,000 Speaker 1: to tamp down any talk of unionization. And so fortunately 811 00:42:00,520 --> 00:42:02,439 Speaker 1: this man toa Kwan Smith, he was able to get 812 00:42:02,480 --> 00:42:05,920 Speaker 1: another job. This one I think with FedEx, but the 813 00:42:06,000 --> 00:42:09,040 Speaker 1: fact that he was fired when he's struggling to get 814 00:42:09,239 --> 00:42:11,759 Speaker 1: back on his feet, communing to work three hours from 815 00:42:11,800 --> 00:42:15,120 Speaker 1: a homeless shelter, it's just absolutely disgusting and shows you 816 00:42:15,480 --> 00:42:18,919 Speaker 1: how hollow all of their words about Black Lives Matter 817 00:42:19,120 --> 00:42:21,720 Speaker 1: really are. Yeah, and you can see here they claim 818 00:42:21,760 --> 00:42:25,719 Speaker 1: that he was fired for excessive tardiness, and he says, look, 819 00:42:25,760 --> 00:42:28,279 Speaker 1: I mean he and his lawyer obviously they probably would 820 00:42:28,280 --> 00:42:30,760 Speaker 1: say that, but they say that that's obviously not the case. 821 00:42:30,840 --> 00:42:33,760 Speaker 1: But we saw in the specifics of the Small's case 822 00:42:34,200 --> 00:42:36,919 Speaker 1: that they can claim, oh, he was showing up to work, 823 00:42:37,000 --> 00:42:39,480 Speaker 1: you know, he was dangering people from COVID. They don't 824 00:42:39,480 --> 00:42:42,720 Speaker 1: actually have to prove anything. And then their own leaked 825 00:42:42,880 --> 00:42:45,520 Speaker 1: documents show that things went all the way up to 826 00:42:45,600 --> 00:42:48,839 Speaker 1: the head of the top of Amazon and that they 827 00:42:48,880 --> 00:42:51,880 Speaker 1: wanted to, you know, portray him as stupid and they 828 00:42:51,920 --> 00:42:54,520 Speaker 1: thought that he wouldn't be taken seriously by the media 829 00:42:54,840 --> 00:42:57,480 Speaker 1: and that it would become a war over you know, 830 00:42:57,560 --> 00:43:00,680 Speaker 1: he said and Amazon said, and that they would probably prevail. 831 00:43:00,800 --> 00:43:03,839 Speaker 1: Now in that case, they weren't necessarily wrong, even though 832 00:43:03,880 --> 00:43:06,680 Speaker 1: Smalls obviously did come out of it and he's got, 833 00:43:06,760 --> 00:43:09,360 Speaker 1: now you know, a driving operation to try and unionize 834 00:43:09,480 --> 00:43:12,000 Speaker 1: Amazon and all that. But how many people still talk 835 00:43:12,000 --> 00:43:13,839 Speaker 1: about it? I mean, Amazon's stock is up by what 836 00:43:13,920 --> 00:43:16,319 Speaker 1: like two thousand percent or whatever since that happened, two 837 00:43:16,360 --> 00:43:20,320 Speaker 1: hundred percent I think since that since that incident occurred. Today, 838 00:43:20,600 --> 00:43:22,760 Speaker 1: they know that all they have to do is claim 839 00:43:23,080 --> 00:43:26,440 Speaker 1: that he was excessively tardy. They can say that this 840 00:43:26,520 --> 00:43:29,480 Speaker 1: is a company policy, and imagine trying to prove it. 841 00:43:29,680 --> 00:43:32,200 Speaker 1: How do you prove that because they'd have to take 842 00:43:32,239 --> 00:43:35,759 Speaker 1: this multi trillion dollar company almost at this point, to 843 00:43:36,120 --> 00:43:39,839 Speaker 1: the court and then prove you know, we're through discovery 844 00:43:39,880 --> 00:43:41,719 Speaker 1: and all they would cost and they would drag it 845 00:43:41,719 --> 00:43:44,080 Speaker 1: through court for a million years, and by that time, 846 00:43:44,400 --> 00:43:46,640 Speaker 1: you know, the guy is literally homeless. I mean, like, 847 00:43:46,680 --> 00:43:49,080 Speaker 1: what kind of power is he supposed to have. They're 848 00:43:49,080 --> 00:43:51,160 Speaker 1: just going to completely brush him off. This is just 849 00:43:51,239 --> 00:43:53,439 Speaker 1: the latest in a slew like we cover a lot 850 00:43:53,480 --> 00:43:56,200 Speaker 1: here of the great resignation of increased work or power, 851 00:43:56,239 --> 00:44:00,000 Speaker 1: of Target not opening on Thanksgiving, of Walmart not opening 852 00:44:00,040 --> 00:44:03,040 Speaker 1: on Thanksgiving, of the ability for people to have mobile 853 00:44:03,080 --> 00:44:05,319 Speaker 1: capital and have higher wages, and it's almost a blue 854 00:44:05,360 --> 00:44:08,560 Speaker 1: collar phenomenon. But people should not be mistaken that the 855 00:44:08,640 --> 00:44:11,680 Speaker 1: deck is still very much, you know, in these in 856 00:44:11,719 --> 00:44:15,280 Speaker 1: the favor of the boss class. We have the latest example, 857 00:44:15,280 --> 00:44:18,120 Speaker 1: we'll put this up there from Reuters, which is Kellogg 858 00:44:18,440 --> 00:44:22,960 Speaker 1: has planning right now to permanently replace some workers as 859 00:44:22,960 --> 00:44:28,279 Speaker 1: a strike enters. It's eighth week, so Kellogg openly trying 860 00:44:28,320 --> 00:44:32,960 Speaker 1: to basically just say screw you to their striking workers, who, 861 00:44:33,160 --> 00:44:36,480 Speaker 1: once again, when you really look into what a lot 862 00:44:36,520 --> 00:44:39,439 Speaker 1: of these people are asking for, it ain't much. Yep. 863 00:44:39,520 --> 00:44:42,160 Speaker 1: Like we're talking in many cases around like a ten 864 00:44:42,360 --> 00:44:45,719 Speaker 1: percent raise. What was it at McDonald's where everybody walked out, 865 00:44:45,960 --> 00:44:47,719 Speaker 1: they were making like nine to seventy five. They're like, 866 00:44:47,719 --> 00:44:49,640 Speaker 1: all we want is ten to fifty, but they wanted 867 00:44:49,960 --> 00:44:52,160 Speaker 1: a quarter. They wanted I think it was ten dollars. 868 00:44:52,280 --> 00:44:55,920 Speaker 1: They want to ten dollar wage. Ten dollars. That's the 869 00:44:55,960 --> 00:44:58,960 Speaker 1: company then ended up having to pay in order to 870 00:44:58,960 --> 00:45:04,879 Speaker 1: get another workforce. I mean, just totally foolish stuff. And yeah, 871 00:45:04,920 --> 00:45:08,880 Speaker 1: I mean permanently hiring scabs to break this strike that 872 00:45:08,920 --> 00:45:12,840 Speaker 1: has been ongoing. The big thing that these union members, 873 00:45:12,920 --> 00:45:15,160 Speaker 1: as we've seen in other instances with John Deere and 874 00:45:15,200 --> 00:45:18,120 Speaker 1: other places across the country, what they're concerned about is 875 00:45:18,160 --> 00:45:20,719 Speaker 1: this two tier employment system that says some workers get 876 00:45:20,760 --> 00:45:23,200 Speaker 1: this package of benefits and wages and other workers that 877 00:45:23,280 --> 00:45:26,160 Speaker 1: came in later get this package, which is intentionally in design. 878 00:45:26,239 --> 00:45:28,480 Speaker 1: This is a terrible innovation of the nineties, as many 879 00:45:28,560 --> 00:45:32,480 Speaker 1: so many things were in order to break solidarity so 880 00:45:32,520 --> 00:45:36,840 Speaker 1: that you don't have one unified workforce. They've come together 881 00:45:36,920 --> 00:45:39,200 Speaker 1: to say, we're done with this two tier system. You 882 00:45:39,320 --> 00:45:42,839 Speaker 1: made record breaking profits last year, we think you can 883 00:45:42,880 --> 00:45:45,480 Speaker 1: afford more, We know you can afford more, and we 884 00:45:45,600 --> 00:45:48,520 Speaker 1: deserve better. And their response to that is just to 885 00:45:49,680 --> 00:45:52,799 Speaker 1: effectively replace them, permanently replace them. Yeah, I mean, it 886 00:45:52,880 --> 00:45:54,920 Speaker 1: really is terrible, and it just goes to show you 887 00:45:55,040 --> 00:45:57,960 Speaker 1: the lengths that these people are up against and what 888 00:45:58,000 --> 00:45:59,640 Speaker 1: are they supposed to do. You know, in a lot 889 00:45:59,680 --> 00:46:02,239 Speaker 1: of these cases they are fighting, you know, in the 890 00:46:02,280 --> 00:46:05,319 Speaker 1: Kellogg case against the two tier system, where they have 891 00:46:06,040 --> 00:46:10,400 Speaker 1: oral workers who are grandfathered in more generous benefits on 892 00:46:10,480 --> 00:46:13,560 Speaker 1: strike because they want better benefits for everybody. Thinking that 893 00:46:13,680 --> 00:46:16,959 Speaker 1: right now is the time I will say this to Kellogg. Look, 894 00:46:17,080 --> 00:46:18,960 Speaker 1: the public is not on your side. I mean we 895 00:46:19,000 --> 00:46:21,239 Speaker 1: saw this in John Deere. You should think about this 896 00:46:21,520 --> 00:46:25,640 Speaker 1: in places like Iowa and elsewhere in the Midwest, not 897 00:46:25,760 --> 00:46:29,120 Speaker 1: necessarily places you know, hotbeds of democratic support or whatever. 898 00:46:29,400 --> 00:46:31,919 Speaker 1: The public support for the striking workers of John Deere 899 00:46:32,239 --> 00:46:34,360 Speaker 1: was sky high. I mean it was like two thirds, 900 00:46:34,600 --> 00:46:36,600 Speaker 1: and many said, yeah, I don't care. You know, if 901 00:46:36,640 --> 00:46:38,799 Speaker 1: we're not able to get our machines or whatever, it's 902 00:46:38,840 --> 00:46:41,640 Speaker 1: messed up. These people are not being treated properly and 903 00:46:41,640 --> 00:46:44,480 Speaker 1: are not ultimately getting their wage. And John Deere ultimately 904 00:46:44,520 --> 00:46:47,799 Speaker 1: had to pay out big time to these workers, very 905 00:46:47,920 --> 00:46:51,080 Speaker 1: much at the support of the farming community and others 906 00:46:51,239 --> 00:46:53,960 Speaker 1: who were around them. So I would caution Kellogg from 907 00:46:54,000 --> 00:46:56,360 Speaker 1: thinking that this will stuff will work out in your favor. 908 00:46:56,440 --> 00:46:58,640 Speaker 1: But that doesn't mean that the deck isn't still stacked 909 00:46:58,640 --> 00:47:01,120 Speaker 1: in their favor and that they will probably get away 910 00:47:01,120 --> 00:47:03,320 Speaker 1: with it. That's the sad part, you know. The interesting 911 00:47:03,360 --> 00:47:06,120 Speaker 1: thing with John Deere is not only did the workers 912 00:47:06,239 --> 00:47:08,680 Speaker 1: who were on strike, not only did they get a 913 00:47:08,680 --> 00:47:11,600 Speaker 1: big raise and better benefits, and they got rid of 914 00:47:11,600 --> 00:47:13,759 Speaker 1: a third tier, so at least they're down back down 915 00:47:13,800 --> 00:47:18,440 Speaker 1: to two tiers. But after the strike ended, John Deere 916 00:47:18,800 --> 00:47:22,120 Speaker 1: also lifted the wages across the board. I think it 917 00:47:22,200 --> 00:47:25,919 Speaker 1: was eight percent of all of their salaried workforce as well, 918 00:47:26,560 --> 00:47:29,440 Speaker 1: because I'm sure the salaried workforce who were thrown under 919 00:47:29,480 --> 00:47:32,200 Speaker 1: the front lines and like driving tractors into walls and 920 00:47:32,200 --> 00:47:34,480 Speaker 1: stuff to try to break the strike, I'm sure they 921 00:47:34,480 --> 00:47:36,959 Speaker 1: looked at the deal that the blue collar workforce got 922 00:47:36,960 --> 00:47:39,759 Speaker 1: and said, hey, wait a minute, what about us? You know, 923 00:47:39,800 --> 00:47:42,320 Speaker 1: why did you cut us in on the deal as well? 924 00:47:42,840 --> 00:47:46,680 Speaker 1: This is all just to show you that when labor 925 00:47:46,920 --> 00:47:50,239 Speaker 1: is stands in solidarity and wins gains, even if it's 926 00:47:50,280 --> 00:47:52,880 Speaker 1: just at one plant, it can ripple, not to you know, 927 00:47:52,920 --> 00:47:56,400 Speaker 1: throughout that entire workforce, throughout that region, because other employers 928 00:47:56,400 --> 00:48:00,120 Speaker 1: then have to compete with those wages. It lifts the 929 00:48:00,920 --> 00:48:04,799 Speaker 1: floor for absolutely everyone, which is really important. But yeah, 930 00:48:04,840 --> 00:48:07,880 Speaker 1: I mean, bottom line is the deck is still incredibly stacked. 931 00:48:08,080 --> 00:48:11,040 Speaker 1: And it's not an accident that back when the union 932 00:48:11,080 --> 00:48:13,880 Speaker 1: movement was much more pervasive and much more powerful, you 933 00:48:13,920 --> 00:48:16,640 Speaker 1: also had a lot more class politics. Now there basically 934 00:48:16,680 --> 00:48:18,800 Speaker 1: is no class politics in the country. I mean, the 935 00:48:19,239 --> 00:48:22,480 Speaker 1: level of correlation between working class people voting together in 936 00:48:22,520 --> 00:48:25,200 Speaker 1: any sort of unified I mean, that's basically been destroyed. 937 00:48:25,480 --> 00:48:28,640 Speaker 1: It's not an accident that that decline has happened as 938 00:48:28,680 --> 00:48:32,359 Speaker 1: the union movement has been decimated, So the last thing 939 00:48:32,400 --> 00:48:34,200 Speaker 1: that they want to see is any sort of resurgent 940 00:48:34,320 --> 00:48:37,160 Speaker 1: labor movement, and it looks for the first time in 941 00:48:37,200 --> 00:48:39,759 Speaker 1: a long time like that is at least a possibility. 942 00:48:39,760 --> 00:48:41,680 Speaker 1: I'm not going to say it's a inevitability or it's here, 943 00:48:41,760 --> 00:48:44,239 Speaker 1: it's happening, or anything like that, but at least there's 944 00:48:44,280 --> 00:48:46,960 Speaker 1: a glimmer of possibility of a resurgent labor movement at 945 00:48:46,960 --> 00:48:49,600 Speaker 1: this point. Very interesting. Well, obviously we're going to keep 946 00:48:49,640 --> 00:48:52,319 Speaker 1: you guys updated as quickly as possible. Okay, let's move 947 00:48:52,360 --> 00:48:54,600 Speaker 1: on to this. We always save the best segments for last, 948 00:48:54,680 --> 00:48:58,160 Speaker 1: so two of our favorites, Hillary Clinton and Rachel Maddow 949 00:48:58,239 --> 00:49:01,680 Speaker 1: came together. We always look to Hillary's very wise, astute 950 00:49:01,719 --> 00:49:04,880 Speaker 1: political analysis in real talk, though, this is a very 951 00:49:04,920 --> 00:49:08,759 Speaker 1: important segment because it shows you the mindset of the 952 00:49:08,800 --> 00:49:14,120 Speaker 1: Democratic elite blaming voters for not getting on their knees 953 00:49:14,160 --> 00:49:18,000 Speaker 1: and thanking them enough for all of the supposedly great 954 00:49:18,040 --> 00:49:20,799 Speaker 1: things that they have done. They are blaming voters for 955 00:49:20,840 --> 00:49:24,919 Speaker 1: Biden's on popularity and not taking any responsibility themselves. She's 956 00:49:24,960 --> 00:49:27,520 Speaker 1: basically a mouthpiece for that mindset, which is very much 957 00:49:27,520 --> 00:49:29,720 Speaker 1: inside the White House. Right now, let's take a listen. 958 00:49:30,120 --> 00:49:32,200 Speaker 1: You know, democracy is messy. You know, a lot of 959 00:49:32,239 --> 00:49:35,759 Speaker 1: people got oh, I think, kind of frustrated looking at 960 00:49:35,760 --> 00:49:41,839 Speaker 1: the messy process of legislation, and they didn't really appreciate that. 961 00:49:41,920 --> 00:49:45,560 Speaker 1: Within a year, the Biden administration has passed two major 962 00:49:45,600 --> 00:49:49,800 Speaker 1: pieces of legislation through both the House and the Senate. 963 00:49:50,600 --> 00:49:54,160 Speaker 1: They've passed another major piece through the House that will 964 00:49:54,200 --> 00:49:57,640 Speaker 1: soon be in the Senate. By any measure, those are 965 00:49:57,800 --> 00:50:03,280 Speaker 1: extraordinary accomplishments and and they really will help many millions 966 00:50:03,280 --> 00:50:07,160 Speaker 1: of Americans with healthcare and prescription drug prices, as well 967 00:50:07,160 --> 00:50:10,640 Speaker 1: as climate change and so much else. But because of 968 00:50:10,680 --> 00:50:14,840 Speaker 1: the way we are getting our information today, and because 969 00:50:14,840 --> 00:50:17,719 Speaker 1: of the lack of gatekeepers and people who have a 970 00:50:17,880 --> 00:50:21,960 Speaker 1: historic perspective who can help us understand what we are seeing, 971 00:50:22,640 --> 00:50:27,200 Speaker 1: there is a real vulnerability in the electorate to the 972 00:50:27,360 --> 00:50:31,720 Speaker 1: kind of demagoguery and disinformation that, unfortunately the other side 973 00:50:31,760 --> 00:50:35,919 Speaker 1: is really good at exploiting. The other side is good 974 00:50:35,960 --> 00:50:39,359 Speaker 1: at exploiting. It's the same old thing as vast right 975 00:50:39,400 --> 00:50:44,319 Speaker 1: wing conspiracy. This is so every time you blame the voter, oh, 976 00:50:44,320 --> 00:50:46,479 Speaker 1: they're getting frustrated because they see it and they don't 977 00:50:46,480 --> 00:50:52,080 Speaker 1: appreciate it, and the peasants, you know, throwing at them. 978 00:50:52,239 --> 00:50:55,320 Speaker 1: Here's the thing. What did we just hear from former 979 00:50:55,360 --> 00:50:59,440 Speaker 1: President Barack Obama, which is, Hey, the other side's worse. 980 00:50:59,760 --> 00:51:03,400 Speaker 1: You know, you people aren't appreciating enough. Twenty sixteen. You 981 00:51:03,480 --> 00:51:06,200 Speaker 1: didn't come out to vote. Whenever I told you to vote, 982 00:51:06,400 --> 00:51:08,799 Speaker 1: I said my name was on the ballot. Y'all didn't 983 00:51:08,800 --> 00:51:11,960 Speaker 1: show up. Y'all are getting tired. I mean every time, 984 00:51:12,440 --> 00:51:15,160 Speaker 1: will any of these people take responsibility? Why can't he 985 00:51:15,200 --> 00:51:17,200 Speaker 1: Biden come out and say, look, I know you guys 986 00:51:17,200 --> 00:51:20,080 Speaker 1: are frustrated. I know it feels like what's happening right 987 00:51:20,120 --> 00:51:23,799 Speaker 1: now is what's happening right now in Washington is disconnected 988 00:51:23,800 --> 00:51:25,680 Speaker 1: from your life. And here's what I'm going to try 989 00:51:25,719 --> 00:51:28,520 Speaker 1: and do about it. X Y and Z. Just saying 990 00:51:28,760 --> 00:51:32,279 Speaker 1: I understand why you're frustrated would lift people's spirits and 991 00:51:32,360 --> 00:51:34,279 Speaker 1: at least make them feel as if the country isn't 992 00:51:34,320 --> 00:51:37,920 Speaker 1: just completely in chaos. And yet that's the problem. I mean. 993 00:51:37,960 --> 00:51:40,239 Speaker 1: And meanwhile, I was hanging out a Nantucket billionaire's house 994 00:51:40,280 --> 00:51:42,880 Speaker 1: for Thanksgiving. It's like, I don't know what these people 995 00:51:43,120 --> 00:51:45,239 Speaker 1: are doing. But this is the mindset all the very 996 00:51:45,239 --> 00:51:47,320 Speaker 1: top of the Democratic Party right now. She is the 997 00:51:47,440 --> 00:51:50,800 Speaker 1: queen of blame shifting. Yes, I mean this is really 998 00:51:50,920 --> 00:51:53,839 Speaker 1: like done the Democrats. This is something they really excel at, 999 00:51:54,440 --> 00:51:59,600 Speaker 1: never having to ever reassess what they're doing. And Hillary 1000 00:51:59,600 --> 00:52:02,280 Speaker 1: Clinton and her husband, I mean, they are the authors 1001 00:52:02,800 --> 00:52:06,600 Speaker 1: of this style of democratic politics that we are still 1002 00:52:06,800 --> 00:52:09,759 Speaker 1: living in. So I think that's why she's become so 1003 00:52:10,320 --> 00:52:14,120 Speaker 1: good in a certain way at always having some excuse 1004 00:52:14,760 --> 00:52:18,000 Speaker 1: of why this failure is not our fault. That feel 1005 00:52:18,080 --> 00:52:20,520 Speaker 1: the fact that we've gotten decimated rule and that's really 1006 00:52:20,560 --> 00:52:23,799 Speaker 1: not our fault. The fact that we lost in Virginia 1007 00:52:23,920 --> 00:52:25,919 Speaker 1: State that Biden is one by ten, but that's really 1008 00:52:25,960 --> 00:52:27,799 Speaker 1: not our fault. The fact that we're going to lose 1009 00:52:27,840 --> 00:52:30,280 Speaker 1: the House and probably the Senate coming up in the 1010 00:52:30,320 --> 00:52:32,640 Speaker 1: next maternal election, that's really not our fault. It's that 1011 00:52:32,719 --> 00:52:37,879 Speaker 1: the voters don't appreciate how great we ultimately are. When 1012 00:52:38,000 --> 00:52:40,960 Speaker 1: I mean, we just read the third Way focus groups. 1013 00:52:41,239 --> 00:52:43,880 Speaker 1: Voters don't even know what you're doing other than fighting 1014 00:52:43,920 --> 00:52:45,880 Speaker 1: with these and don't care about the things that they 1015 00:52:45,880 --> 00:52:47,880 Speaker 1: do know. Yeah, I don't care about that, right, And 1016 00:52:47,920 --> 00:52:50,560 Speaker 1: so I mean, at some point, don't you have to 1017 00:52:50,600 --> 00:52:53,600 Speaker 1: do a little self reflection about like, oh, maybe our 1018 00:52:53,640 --> 00:52:56,359 Speaker 1: priorities are maybe we're not selling this in the right way. 1019 00:52:56,480 --> 00:52:59,120 Speaker 1: Maybe we took what was an incredibly popular package of 1020 00:52:59,120 --> 00:53:01,640 Speaker 1: things that actually would have benefited people, and week after 1021 00:53:01,719 --> 00:53:05,120 Speaker 1: week like shot the most popular provisions in the head 1022 00:53:05,560 --> 00:53:08,320 Speaker 1: to the point that what's left is, yeah, not really 1023 00:53:08,360 --> 00:53:14,600 Speaker 1: gonna land with much of anything for voters, Like, you know, infrastructure, 1024 00:53:14,760 --> 00:53:17,560 Speaker 1: that's good, it's important. Of course what they passed is 1025 00:53:17,560 --> 00:53:20,919 Speaker 1: still wildly insufficient for actually our means, but in terms 1026 00:53:20,960 --> 00:53:24,880 Speaker 1: of helping people right now today, they've abandoned some of 1027 00:53:24,920 --> 00:53:29,080 Speaker 1: their most popular promises that would have actually impacted So 1028 00:53:29,680 --> 00:53:31,440 Speaker 1: you know, it's this whole idea of like, oh, we've 1029 00:53:31,480 --> 00:53:34,000 Speaker 1: tried nothing and it hasn't worked, what else can we do? 1030 00:53:34,840 --> 00:53:37,799 Speaker 1: It's completely absurd. There was another part. I actually listen 1031 00:53:37,880 --> 00:53:40,080 Speaker 1: in this whole interview, by the way, you're welcome, guys, 1032 00:53:40,920 --> 00:53:43,200 Speaker 1: and I have to say so my first instinct is 1033 00:53:43,239 --> 00:53:45,080 Speaker 1: always just like, oh, I do have to hear from 1034 00:53:45,120 --> 00:53:47,840 Speaker 1: this from this individual. But to your point, I actually 1035 00:53:47,880 --> 00:53:50,920 Speaker 1: think it's really important because she does have her finger 1036 00:53:51,040 --> 00:53:54,240 Speaker 1: on the pulse of a certain type of democratic elite 1037 00:53:54,640 --> 00:53:58,000 Speaker 1: and they're thinking, and she says things out loud that 1038 00:53:58,239 --> 00:54:01,520 Speaker 1: sometimes they're more skilled at sort of couching in different language. 1039 00:54:01,920 --> 00:54:04,200 Speaker 1: One of the things that she said in an endless 1040 00:54:04,239 --> 00:54:07,000 Speaker 1: like back and forth between her and Rachel about disinformation 1041 00:54:07,080 --> 00:54:11,400 Speaker 1: and misinformation, Russia and whatever is she said that people 1042 00:54:11,400 --> 00:54:16,120 Speaker 1: who support Trump they don't like the world we're living in. 1043 00:54:17,040 --> 00:54:19,160 Speaker 1: And I just really thought about that and it connected 1044 00:54:19,200 --> 00:54:21,920 Speaker 1: for me back to after she lost and said, oh, 1045 00:54:21,960 --> 00:54:23,880 Speaker 1: the places that are doing well they voted for me, 1046 00:54:23,960 --> 00:54:27,680 Speaker 1: as if that was a good thing, that you are losing. 1047 00:54:27,800 --> 00:54:30,799 Speaker 1: All of the people who feel like they don't like 1048 00:54:30,840 --> 00:54:33,200 Speaker 1: the world that we're living, they feel like they're not 1049 00:54:33,320 --> 00:54:36,080 Speaker 1: doing well, that they're not succeeding. Like, those are the 1050 00:54:36,120 --> 00:54:40,040 Speaker 1: people that are supposed to be gravitating towards the democratic part. 1051 00:54:40,120 --> 00:54:41,960 Speaker 1: Those are the people you're supposed to have an answer 1052 00:54:41,960 --> 00:54:43,640 Speaker 1: for of how you're gonna make the world better. There 1053 00:54:43,640 --> 00:54:46,319 Speaker 1: are lots of good reasons why people may not like 1054 00:54:46,400 --> 00:54:48,880 Speaker 1: the world that we're living in. When they see the 1055 00:54:48,880 --> 00:54:52,360 Speaker 1: billionaire class, you know, getting away with everything and getting 1056 00:54:52,440 --> 00:54:55,640 Speaker 1: tremendously rich, and they see year after year their own 1057 00:54:55,680 --> 00:54:58,840 Speaker 1: household budgets stagnant, or shrinking less and less hope for 1058 00:54:58,880 --> 00:55:01,719 Speaker 1: their own children, all of those things. So I also 1059 00:55:01,760 --> 00:55:05,360 Speaker 1: thought that was the sort of profoundly interesting comment and 1060 00:55:05,400 --> 00:55:07,680 Speaker 1: revealing comment that she made there too. Well, it's true, 1061 00:55:07,680 --> 00:55:09,640 Speaker 1: and look, I can't find it right now. I was 1062 00:55:09,680 --> 00:55:12,440 Speaker 1: just looking for it. But batcha sargon we've had on 1063 00:55:12,480 --> 00:55:15,440 Speaker 1: the show. She just tweeted out a she teetered out 1064 00:55:15,480 --> 00:55:17,360 Speaker 1: a piece from the New York Times, or they're talking 1065 00:55:17,400 --> 00:55:21,160 Speaker 1: exactly about this, and what they point to specifically is 1066 00:55:21,200 --> 00:55:24,480 Speaker 1: that the world is working. If you are upper middle 1067 00:55:24,480 --> 00:55:28,120 Speaker 1: class and educated in college, specifically a top fifty or 1068 00:55:28,200 --> 00:55:31,799 Speaker 1: so university, your world's actually not that bad for you. You 1069 00:55:31,560 --> 00:55:35,080 Speaker 1: You can buy a house, you have money, you have 1070 00:55:35,120 --> 00:55:38,799 Speaker 1: a decent amount of savings all that. The problem is 1071 00:55:38,920 --> 00:55:41,960 Speaker 1: for the rest of the people who didn't attend or 1072 00:55:41,960 --> 00:55:45,640 Speaker 1: at least graduate a four year college degree institution or 1073 00:55:45,760 --> 00:55:48,879 Speaker 1: are straight up working class. That's like two thirds of 1074 00:55:48,920 --> 00:55:53,799 Speaker 1: the entire country. Zero representation in media, pop culture, economy, 1075 00:55:54,040 --> 00:55:56,840 Speaker 1: democratic elites anywhere, by the way, not in the Republican 1076 00:55:56,840 --> 00:56:00,399 Speaker 1: elites either. Just to be very specific, and that's the problem, 1077 00:56:00,440 --> 00:56:02,840 Speaker 1: which is that when she points to people don't like 1078 00:56:02,880 --> 00:56:05,360 Speaker 1: the world that we're living in, you people run that world. 1079 00:56:05,800 --> 00:56:08,759 Speaker 1: So no, no, no, no, no way. Of course, they 1080 00:56:08,760 --> 00:56:11,440 Speaker 1: don't like the world that you're living in. And even worse, 1081 00:56:11,560 --> 00:56:14,600 Speaker 1: that's why they blame you. People elected Biden for a 1082 00:56:14,680 --> 00:56:17,880 Speaker 1: very specific reason. They thought he's not like the rest 1083 00:56:17,880 --> 00:56:21,399 Speaker 1: of those people. He's so old. He actually is part 1084 00:56:21,440 --> 00:56:24,600 Speaker 1: of that old type establishment and talks in this way 1085 00:56:24,760 --> 00:56:27,720 Speaker 1: that you know, pretended at least to hear us out, 1086 00:56:27,800 --> 00:56:30,719 Speaker 1: and we felt if we had some kinship with the man. Now, 1087 00:56:30,760 --> 00:56:34,000 Speaker 1: obviously he's degraded significantly there over time, and you know, 1088 00:56:34,239 --> 00:56:36,360 Speaker 1: he's rolled out, you know, every once in a while 1089 00:56:36,760 --> 00:56:39,000 Speaker 1: on all of that. But when you put it together, 1090 00:56:39,280 --> 00:56:42,000 Speaker 1: his core strength was I care about people like you? 1091 00:56:42,200 --> 00:56:45,719 Speaker 1: Essentially probably the most significant important question in all of politics. 1092 00:56:45,960 --> 00:56:48,359 Speaker 1: What did we cover more recently in the political poll 1093 00:56:48,400 --> 00:56:52,239 Speaker 1: where they actually tested Biden's personal favorability and whether you 1094 00:56:52,320 --> 00:56:54,640 Speaker 1: like it or not, this stuff matters a lot, and 1095 00:56:55,000 --> 00:56:57,080 Speaker 1: his I Care about people like you had dropped by 1096 00:56:57,080 --> 00:56:59,760 Speaker 1: like fifteen points since the day that he was elected. 1097 00:56:59,800 --> 00:57:02,120 Speaker 1: And for this reason is that people don't feel he's 1098 00:57:02,160 --> 00:57:05,680 Speaker 1: taking responsibility for the main problems within their life, or 1099 00:57:05,920 --> 00:57:09,600 Speaker 1: not even taking responsibility, even pretending to do anything about it. 1100 00:57:09,640 --> 00:57:11,759 Speaker 1: So this is just going to continue to be the 1101 00:57:11,800 --> 00:57:14,920 Speaker 1: pervasive mindset. They could lose like ninety seats in the 1102 00:57:14,920 --> 00:57:17,120 Speaker 1: House Representatives and they would still blame the voters. Crystal, 1103 00:57:17,320 --> 00:57:20,600 Speaker 1: I'm really convinced of that. And they're all praying that 1104 00:57:20,640 --> 00:57:25,200 Speaker 1: Trump runs again. Yeah, they are right because so many 1105 00:57:25,360 --> 00:57:28,440 Speaker 1: democratic elites and cable news pundits. First of all, they 1106 00:57:28,480 --> 00:57:32,080 Speaker 1: got tremendously wealthy, they got famous, they wrote books like. 1107 00:57:32,120 --> 00:57:35,439 Speaker 1: It was great for them personally, but also for someone 1108 00:57:35,480 --> 00:57:39,080 Speaker 1: like Hillary Clinton. Oh, he's this an amazing excuse. When 1109 00:57:39,120 --> 00:57:41,520 Speaker 1: Trump runs, well, you don't have to do anything but say, well, 1110 00:57:41,520 --> 00:57:43,760 Speaker 1: we're not Trump. You know. That's the way they feel 1111 00:57:43,800 --> 00:57:45,320 Speaker 1: about it, is like this gets us off the hook 1112 00:57:45,360 --> 00:57:48,520 Speaker 1: from actually having to deliver anything. And then if people 1113 00:57:48,600 --> 00:57:50,720 Speaker 1: choose Trump, while we just turn around again and blame 1114 00:57:50,760 --> 00:57:53,320 Speaker 1: the voters. It's their fault. They're bad, they're evil. Has 1115 00:57:53,360 --> 00:57:55,720 Speaker 1: nothing to do with us and our complete failures to 1116 00:57:55,760 --> 00:57:57,840 Speaker 1: live up to any of the promises that we've been 1117 00:57:57,840 --> 00:58:02,960 Speaker 1: making for literally decades. To you peoplere PC, Crystal, what 1118 00:58:03,000 --> 00:58:04,600 Speaker 1: are you taking a look at? Well, guys, as we've 1119 00:58:04,640 --> 00:58:08,640 Speaker 1: been discussing, the World Health Organization has officially designated OMICRON 1120 00:58:08,760 --> 00:58:11,960 Speaker 1: as a variant of concern, and it's already triggering travel 1121 00:58:12,000 --> 00:58:15,240 Speaker 1: bands and ruling the stock market. This new variant was 1122 00:58:15,240 --> 00:58:17,560 Speaker 1: first flagged in South Africa and the earliest known case 1123 00:58:17,600 --> 00:58:20,320 Speaker 1: was identified in Botswana, but has now shown up in 1124 00:58:20,360 --> 00:58:23,479 Speaker 1: places as widespread as Hong Kong, Israel, and the UK. 1125 00:58:23,920 --> 00:58:26,400 Speaker 1: Now experts are saying it's way too early to panic 1126 00:58:26,400 --> 00:58:28,480 Speaker 1: about omicron. We just don't know enough to say much 1127 00:58:28,480 --> 00:58:32,520 Speaker 1: about its transmissibility. It's severity how effective the existing vaccines 1128 00:58:32,560 --> 00:58:35,360 Speaker 1: will be in combating it. But there is one thing 1129 00:58:35,600 --> 00:58:39,000 Speaker 1: we can say for certain. The pandemic villains a big 1130 00:58:39,040 --> 00:58:42,640 Speaker 1: pharma and Bill Gates have left us much much more 1131 00:58:42,720 --> 00:58:46,840 Speaker 1: vulnerable to new dangerous variants, potentially keeping us lucked in 1132 00:58:46,880 --> 00:58:50,600 Speaker 1: a cycle of forever pandemic. What do I mean? Well, 1133 00:58:51,040 --> 00:58:53,480 Speaker 1: if you are a pharma exach looking to be as 1134 00:58:53,520 --> 00:58:56,600 Speaker 1: evil and greedy as possible, without giving a single care 1135 00:58:56,640 --> 00:58:59,440 Speaker 1: about human life, what would you do to maximize the 1136 00:58:59,480 --> 00:59:02,560 Speaker 1: money into to your pockets. You'd make a vaccine that 1137 00:59:02,680 --> 00:59:05,600 Speaker 1: actually works, and then you'd sell it nearly exclusively to 1138 00:59:05,640 --> 00:59:08,760 Speaker 1: the rich world at premium prices. The efficacy of the 1139 00:59:08,840 --> 00:59:11,120 Speaker 1: vaccine would lead to high demand and mean that places 1140 00:59:11,160 --> 00:59:13,439 Speaker 1: like the US, Europe, and wealthy nations in Asia would 1141 00:59:13,440 --> 00:59:17,480 Speaker 1: shell out big bucks to secure it for their own population. Meanwhile, 1142 00:59:17,640 --> 00:59:19,720 Speaker 1: the global South will they'd be more or less priced 1143 00:59:19,760 --> 00:59:22,360 Speaker 1: down of that market, allowing the virus to continue to 1144 00:59:22,400 --> 00:59:26,480 Speaker 1: circulate rapidly and dramatically increase the chances of new variants 1145 00:59:26,560 --> 00:59:31,080 Speaker 1: that make the original vaccine less effective. New variants mean 1146 00:59:31,160 --> 00:59:34,560 Speaker 1: new products and endless profits from a rich world buying 1147 00:59:34,600 --> 00:59:38,280 Speaker 1: up boosters and eventually new vaccine formulations to combat whatever 1148 00:59:38,400 --> 00:59:41,960 Speaker 1: might emerge that leaps the existing vaccines. This, of course, 1149 00:59:42,080 --> 00:59:44,200 Speaker 1: in spite of the fact that taxpayers in some of 1150 00:59:44,240 --> 00:59:48,120 Speaker 1: those rich countries, primarily the US, funded the vaccine technology 1151 00:59:48,160 --> 00:59:51,040 Speaker 1: and development to start with. Now, if you were that 1152 00:59:51,160 --> 00:59:53,440 Speaker 1: evil pharma exac, you would see the rich world as 1153 00:59:53,440 --> 00:59:56,560 Speaker 1: your endless piggybank and the poor world as your endless 1154 00:59:56,640 --> 00:59:59,480 Speaker 1: petrie dish, churning out new variants that allow you to 1155 00:59:59,600 --> 01:00:04,480 Speaker 1: cash in on the pandemic indefinitely, effectively using the unvaccinated 1156 01:00:04,480 --> 01:00:06,920 Speaker 1: developing world as guinea pigs for a sort of natural 1157 01:00:06,920 --> 01:00:10,000 Speaker 1: gain of function research on a massive scale. And wouldn't 1158 01:00:10,000 --> 01:00:13,480 Speaker 1: you know it, that's exactly the scenario we're facing right now. 1159 01:00:13,800 --> 01:00:17,120 Speaker 1: Of course, given the gravity of the situation, everyone involved 1160 01:00:17,120 --> 01:00:20,080 Speaker 1: in that heist would need a decent cover story so 1161 01:00:20,120 --> 01:00:23,320 Speaker 1: that public outrage would not spoil their plan. Big Pharma 1162 01:00:23,320 --> 01:00:25,760 Speaker 1: would need a big leaf of generosity to hide behind 1163 01:00:25,800 --> 01:00:27,960 Speaker 1: so that it wouldn't just be blatantly obvious that they 1164 01:00:28,000 --> 01:00:31,320 Speaker 1: intended to say screw you to most of the world population. 1165 01:00:31,960 --> 01:00:36,040 Speaker 1: Enter one Bill Gates. Now, as we've covered before, Gates, 1166 01:00:36,040 --> 01:00:39,280 Speaker 1: with his billions, effectively runs global public health. No one 1167 01:00:39,320 --> 01:00:41,040 Speaker 1: wants to cross him because they do not want to 1168 01:00:41,080 --> 01:00:45,080 Speaker 1: lose access to his dollars, and because he's a famous billionaire, 1169 01:00:45,320 --> 01:00:49,160 Speaker 1: he has an incredibly influential megaphone to drive public policy 1170 01:00:49,480 --> 01:00:52,960 Speaker 1: whatever direction he ultimately chooses. He also happened to have 1171 01:00:53,000 --> 01:00:56,280 Speaker 1: made his billions by building a monopoly through abuse of 1172 01:00:56,320 --> 01:01:00,000 Speaker 1: our patent protection laws, and therefore has an invested ideological 1173 01:01:00,160 --> 01:01:04,600 Speaker 1: interest in patent protections. So rather than advocate for the 1174 01:01:04,680 --> 01:01:08,280 Speaker 1: vaccine formulas to be a global public good enabling mass 1175 01:01:08,320 --> 01:01:12,320 Speaker 1: production at low prices, he instead pushed for the utterly 1176 01:01:12,360 --> 01:01:17,360 Speaker 1: failed Kovax program at the World Health Organization. Now Kovax 1177 01:01:17,520 --> 01:01:21,160 Speaker 1: is truly Bill Gates's baby from start to finish. Two 1178 01:01:21,360 --> 01:01:25,240 Speaker 1: days after COVID was declared a pandemic. Gates was already 1179 01:01:25,320 --> 01:01:29,040 Speaker 1: meeting with twelve different pharma executives to plan the response. 1180 01:01:29,560 --> 01:01:34,720 Speaker 1: A Gates funded nonprofit drove Kvax's creation. It is run 1181 01:01:35,000 --> 01:01:38,520 Speaker 1: by a consortium of Bill Gates funded nonprofits, the World 1182 01:01:38,520 --> 01:01:42,680 Speaker 1: Health Organization, and UNISF Gates personally took a hands on 1183 01:01:42,800 --> 01:01:45,720 Speaker 1: approach in its development. According to The New York Times, 1184 01:01:45,720 --> 01:01:49,439 Speaker 1: Gates personally fundraised for Kovacs from world leaders. He spoke 1185 01:01:49,520 --> 01:01:52,280 Speaker 1: regularly with Fauci, He collaborated with Mitch McConnell, and his 1186 01:01:52,360 --> 01:01:56,640 Speaker 1: foundation gave millions to pay McKinsey consultants to staff the 1187 01:01:56,640 --> 01:02:01,200 Speaker 1: whole effort. I cannot possibly overstate how influential this man 1188 01:02:01,360 --> 01:02:04,400 Speaker 1: is in driving global public health right now, in this moment. 1189 01:02:04,680 --> 01:02:08,560 Speaker 1: His deep industry ties, his money, his access, his star power, 1190 01:02:08,800 --> 01:02:11,640 Speaker 1: they have all made him the unelected dictator of poor 1191 01:02:11,640 --> 01:02:15,960 Speaker 1: country vaccine access. Even the original goal of KOVAS was 1192 01:02:16,120 --> 01:02:19,760 Speaker 1: wildly insufficient. They wanted to fund enough vaccine doses to 1193 01:02:19,800 --> 01:02:23,680 Speaker 1: vaccinate twenty percent of the population in poor nations. Ultimately, 1194 01:02:24,000 --> 01:02:27,360 Speaker 1: they would not even come close to achieving that extraordinarily 1195 01:02:27,400 --> 01:02:30,400 Speaker 1: low achievement, and that brings us to the present day. 1196 01:02:30,720 --> 01:02:33,800 Speaker 1: The new variant was first detected in South Africa and Botswana, 1197 01:02:33,880 --> 01:02:36,480 Speaker 1: countries with thirty five percent and thirty percent of their 1198 01:02:36,480 --> 01:02:41,560 Speaker 1: adult populations vaccinated, respectively. And actually those rates are among 1199 01:02:41,560 --> 01:02:44,680 Speaker 1: the highest on a continent where only seven percent of 1200 01:02:44,720 --> 01:02:48,480 Speaker 1: people are fully vaccinated. That is a crime, a crime 1201 01:02:48,560 --> 01:02:52,480 Speaker 1: that was committed by greedy pharma executives, brokeered by Bill Gates, 1202 01:02:52,520 --> 01:02:56,080 Speaker 1: and enabled by the cowardice of world leaders. Speaking of 1203 01:02:56,120 --> 01:02:59,480 Speaker 1: which Joe Biden has offered more hollow words in support 1204 01:02:59,480 --> 01:03:03,439 Speaker 1: of lifting vaccine patent protections. First of all, pretty late 1205 01:03:03,480 --> 01:03:05,560 Speaker 1: to be pushing for something which should have been obvious 1206 01:03:05,720 --> 01:03:08,440 Speaker 1: from the very beginning. But second of all, his words 1207 01:03:08,440 --> 01:03:11,880 Speaker 1: are just that words. The US has declined to support 1208 01:03:11,920 --> 01:03:14,960 Speaker 1: a vaccine patent waiver proposal put forward by Indian South 1209 01:03:15,000 --> 01:03:18,440 Speaker 1: Africa at the World Trade Organization, failing to put our 1210 01:03:18,520 --> 01:03:21,240 Speaker 1: ample muscle behind a text which has support of one 1211 01:03:21,320 --> 01:03:25,640 Speaker 1: hundred countries, Nobel Laureates, and human rights organizations. The US 1212 01:03:25,680 --> 01:03:28,320 Speaker 1: has also failed to negotiate a new proposal that might 1213 01:03:28,360 --> 01:03:31,440 Speaker 1: replace that existing proposal to move the process forward. And 1214 01:03:31,560 --> 01:03:34,640 Speaker 1: most importantly, the US has also failed to pressure the 1215 01:03:34,680 --> 01:03:38,000 Speaker 1: European nations places like Germany that have been standing in 1216 01:03:38,040 --> 01:03:41,920 Speaker 1: the way of lifting these protections. Biden can say whatever 1217 01:03:41,960 --> 01:03:46,320 Speaker 1: he wants, but his actions have supported the morally unconscionable 1218 01:03:46,520 --> 01:03:51,160 Speaker 1: status quo. Now in desperation, South Africa is actually spearheading 1219 01:03:51,160 --> 01:03:54,720 Speaker 1: an effort to recreate Maderna successful vaccine, trying to use 1220 01:03:54,800 --> 01:03:59,400 Speaker 1: publicly available information to reverse engineer the Maderna formula. Unfortunately, 1221 01:03:59,440 --> 01:04:03,440 Speaker 1: with companies hoarding the secret technology we US taxpayers help 1222 01:04:03,520 --> 01:04:06,960 Speaker 1: them to create, it will likely take years for the 1223 01:04:07,000 --> 01:04:09,560 Speaker 1: South Africans to be able to crack that code. So 1224 01:04:09,640 --> 01:04:12,960 Speaker 1: here we are, with the disease spreading unchecked in vast 1225 01:04:13,000 --> 01:04:16,600 Speaker 1: corners of the globe, playing Russian Roulette with a deadly pandemic, 1226 01:04:16,840 --> 01:04:19,480 Speaker 1: hoping that the next variant won't send us right back 1227 01:04:19,520 --> 01:04:22,560 Speaker 1: to square one of the pandemic, also that a handful 1228 01:04:22,600 --> 01:04:26,760 Speaker 1: of pharma execs can keep their golden goose forever. Sometimes 1229 01:04:26,800 --> 01:04:30,800 Speaker 1: the most shocking and sickening conspiracy theories are the true ones. 1230 01:04:31,560 --> 01:04:34,200 Speaker 1: As I started to research this, you know we've been 1231 01:04:34,200 --> 01:04:37,760 Speaker 1: covering Bill Gates and an influence. He is even more 1232 01:04:37,960 --> 01:04:41,040 Speaker 1: powerful and influential. And if you want to hear my 1233 01:04:41,200 --> 01:04:44,560 Speaker 1: reaction to Crystal's monologue, become a premium subscriber today at 1234 01:04:44,560 --> 01:04:49,360 Speaker 1: Breakingpoints dot Com. All right, saga, what are you look 1235 01:04:49,360 --> 01:04:52,040 Speaker 1: at that? Well, the most frustrating part about politics today 1236 01:04:52,080 --> 01:04:55,640 Speaker 1: is selective outrage, especially selective outrage where people have a point. 1237 01:04:55,920 --> 01:04:58,160 Speaker 1: A lot of Democrats actually had a pretty good point 1238 01:04:58,240 --> 01:05:00,560 Speaker 1: during the Trump years. Having the president son in law 1239 01:05:00,600 --> 01:05:02,840 Speaker 1: and daughter work in the White House and major sway 1240 01:05:02,880 --> 01:05:06,080 Speaker 1: over US policy is an outright violation of the spirit 1241 01:05:06,160 --> 01:05:09,960 Speaker 1: of anti nepotism laws. That their foreign business entanglements actually 1242 01:05:10,000 --> 01:05:13,840 Speaker 1: were a massive conflict of interest. The problem was, you know, 1243 01:05:13,960 --> 01:05:16,520 Speaker 1: their point evaporates in the eyes of the public when 1244 01:05:16,600 --> 01:05:19,480 Speaker 1: Hunter Biden's business dealings are put in the spotlight. If 1245 01:05:19,520 --> 01:05:21,920 Speaker 1: you can't care about both and see that children of 1246 01:05:21,960 --> 01:05:26,400 Speaker 1: presidents like Chelsea Clinton, Hunter Biden, Evanka Trump, and other 1247 01:05:26,840 --> 01:05:29,560 Speaker 1: unsavory figures like Jared Kushner are part of a much 1248 01:05:29,560 --> 01:05:32,080 Speaker 1: bigger problem, you're mostly full of crap and you're a 1249 01:05:32,080 --> 01:05:34,880 Speaker 1: partisan actor. I actually care a lot about Hunter Biden's 1250 01:05:34,880 --> 01:05:37,440 Speaker 1: business dealings with China. I believe strongly that it at 1251 01:05:37,520 --> 01:05:40,600 Speaker 1: least in part has affected or could affect our president's 1252 01:05:40,600 --> 01:05:45,280 Speaker 1: behavior towards China. However, it is also a massive conflict 1253 01:05:45,280 --> 01:05:47,600 Speaker 1: of interest because there's a lot of folks on the 1254 01:05:47,720 --> 01:05:50,360 Speaker 1: right who during the Trump years and now want to 1255 01:05:50,360 --> 01:05:54,120 Speaker 1: turn a blind eye to Jared Kushner's corruption, and so 1256 01:05:54,400 --> 01:05:56,520 Speaker 1: to fully establish that this show does not care what 1257 01:05:56,640 --> 01:05:59,400 Speaker 1: party you belong to if you're corrupt, let's lay out 1258 01:05:59,400 --> 01:06:03,640 Speaker 1: the details. Jared Kushner has apparently been flying all over 1259 01:06:03,680 --> 01:06:06,440 Speaker 1: the Middle East in recent months trying to raise money 1260 01:06:06,480 --> 01:06:09,320 Speaker 1: for a new fund. And he's not just courting money 1261 01:06:09,360 --> 01:06:13,280 Speaker 1: from private individuals. Jared is explicitly trying to get investments 1262 01:06:13,320 --> 01:06:17,040 Speaker 1: from the sovereign wealth funds of Qatar, the United Arab Emirates, 1263 01:06:17,080 --> 01:06:20,240 Speaker 1: and the government of Saudi Arabia. Now this is particularly 1264 01:06:20,320 --> 01:06:24,600 Speaker 1: insane because Jared Kushner actually ran Middle East policy under 1265 01:06:24,640 --> 01:06:27,880 Speaker 1: the Trump administration and was known for having an incredibly 1266 01:06:27,920 --> 01:06:31,560 Speaker 1: close relationship with Saudi Arabian Crown Prince Mohammed bin Salman. 1267 01:06:31,960 --> 01:06:35,400 Speaker 1: So months after the de facto top diplomat to Saudi 1268 01:06:35,400 --> 01:06:39,360 Speaker 1: Arabia and the Gulf, Jared Kushner is now turning around 1269 01:06:39,640 --> 01:06:43,440 Speaker 1: and asking them for tens of billions of dollars to invest, 1270 01:06:43,680 --> 01:06:46,120 Speaker 1: which he, of course will get a hefty cut of 1271 01:06:46,320 --> 01:06:49,920 Speaker 1: for management fees. This is called straight up pay to 1272 01:06:49,960 --> 01:06:53,960 Speaker 1: play corruption. No matter what you think, especially given the 1273 01:06:54,000 --> 01:06:57,120 Speaker 1: fact that Trump is almost certainly going to run and 1274 01:06:57,240 --> 01:07:00,760 Speaker 1: probably win again in twenty twenty four, could honestly be 1275 01:07:00,800 --> 01:07:03,280 Speaker 1: worse than Hunter Biden. Hunter at least does not have 1276 01:07:03,320 --> 01:07:06,040 Speaker 1: a direct role in the Biden administration. I've actually been 1277 01:07:06,040 --> 01:07:08,800 Speaker 1: to Jared Kushner's office whenever Trump was president. It is 1278 01:07:08,840 --> 01:07:11,080 Speaker 1: the closest office in the West wing to the President 1279 01:07:11,120 --> 01:07:13,200 Speaker 1: of the United States for a major aid. And if 1280 01:07:13,240 --> 01:07:15,480 Speaker 1: you consider any of the so called accomplishments of the 1281 01:07:15,520 --> 01:07:18,560 Speaker 1: Trump administration, tax cuts and Jobs Acts, letting people be 1282 01:07:18,680 --> 01:07:21,280 Speaker 1: out of prison, and the Abraham Accords, all three of 1283 01:07:21,320 --> 01:07:24,840 Speaker 1: those had Jared having a personal role in all of them. 1284 01:07:25,120 --> 01:07:27,240 Speaker 1: Per the New York Times reporting, which has not been 1285 01:07:27,240 --> 01:07:30,840 Speaker 1: denied by Jared, the Amiadis, the Katari's or the Saudis. 1286 01:07:30,960 --> 01:07:34,320 Speaker 1: The Saudis are actively considering whether or not to invest 1287 01:07:34,320 --> 01:07:37,680 Speaker 1: in Jared's fund, despite his abysmal business record before the 1288 01:07:37,720 --> 01:07:40,720 Speaker 1: White House. Now, YO, why would Saudi Arabia be keeping 1289 01:07:40,760 --> 01:07:43,840 Speaker 1: their options open to invest in Jared. It certainly ain't 1290 01:07:43,880 --> 01:07:46,520 Speaker 1: because he's a good businessman. And here's the worst part. 1291 01:07:46,760 --> 01:07:49,280 Speaker 1: Kushner is not the only player in Trump's direct orbit, 1292 01:07:49,400 --> 01:07:51,080 Speaker 1: who has been profiting off of his time in the 1293 01:07:51,080 --> 01:07:53,880 Speaker 1: White House. Those of you who watched this un rising 1294 01:07:54,120 --> 01:07:56,440 Speaker 1: might remember when I covered this story of former Treasury 1295 01:07:56,440 --> 01:08:00,440 Speaker 1: Secretary Steve Mnushan pulling the same move as kush sh 1296 01:08:00,640 --> 01:08:04,160 Speaker 1: starting a two point five billion dollar private equity fund, 1297 01:08:04,320 --> 01:08:08,440 Speaker 1: including with money for them the Saudi Arabian government. Mnusian, 1298 01:08:08,480 --> 01:08:11,600 Speaker 1: of course, was probably the second most powerful economic official 1299 01:08:11,880 --> 01:08:14,880 Speaker 1: in all of Washington for four years and months after 1300 01:08:14,960 --> 01:08:18,639 Speaker 1: leaving office, he's patting his four hundred million dollar net 1301 01:08:18,680 --> 01:08:21,960 Speaker 1: worth with money from the Saudis. Even worse, while he 1302 01:08:22,080 --> 01:08:25,479 Speaker 1: was Treasury Secretary, he made it a point to attend 1303 01:08:25,479 --> 01:08:30,360 Speaker 1: Saudi Arabia's investment conference called Davos in the Desert multiple times, 1304 01:08:30,520 --> 01:08:32,719 Speaker 1: only skipping it when they were known as a pariah 1305 01:08:32,800 --> 01:08:35,960 Speaker 1: state for like six months after the murder of Jamalkashogi. 1306 01:08:36,200 --> 01:08:38,840 Speaker 1: He scratched their back while he was in office. They 1307 01:08:38,880 --> 01:08:42,320 Speaker 1: scratch his now. The difference is they're a medieval kingdom. 1308 01:08:42,560 --> 01:08:46,840 Speaker 1: We're supposed to be a representative democracy. Now. What's worse 1309 01:08:47,040 --> 01:08:50,439 Speaker 1: is Mnusian and Kushner both got Secret Service protection for 1310 01:08:50,520 --> 01:08:53,360 Speaker 1: six months after leaving office, meaning that both of these 1311 01:08:53,400 --> 01:08:56,720 Speaker 1: gentlemen were being protected on the government dime while they 1312 01:08:56,720 --> 01:08:59,640 Speaker 1: were leveraging their former office status to raise money from 1313 01:08:59,640 --> 01:09:04,160 Speaker 1: the South to make themselves even more wealthy. Look for 1314 01:09:04,240 --> 01:09:07,320 Speaker 1: the Trump people watching, you should really consider that next 1315 01:09:07,320 --> 01:09:09,360 Speaker 1: time you want to elect a president, you don't just 1316 01:09:09,439 --> 01:09:12,280 Speaker 1: elevate that man, you elevate the coterie of the people 1317 01:09:12,320 --> 01:09:14,920 Speaker 1: around him. Many of you seem to understand that when 1318 01:09:14,920 --> 01:09:17,719 Speaker 1: it comes to Biden, it's not just Biden, right, it's Kamala, 1319 01:09:17,720 --> 01:09:19,759 Speaker 1: Harris and Pete and a bunch of other woke idiots 1320 01:09:19,800 --> 01:09:22,880 Speaker 1: who work for him. Well, the same principle applies under Trump. 1321 01:09:23,080 --> 01:09:25,800 Speaker 1: The president can't possibly run everything, and Trump at this 1322 01:09:25,840 --> 01:09:28,200 Speaker 1: point has proven to have probably some of the worst 1323 01:09:28,200 --> 01:09:31,160 Speaker 1: personnel judgment of any person who's held the office since 1324 01:09:31,200 --> 01:09:33,840 Speaker 1: George W. Bush and yes, on par with Joe Biden. 1325 01:09:34,240 --> 01:09:37,280 Speaker 1: These are the people that he personally trusted in government, 1326 01:09:37,439 --> 01:09:41,040 Speaker 1: and by proxy he extended them the public trust. Look 1327 01:09:41,040 --> 01:09:44,240 Speaker 1: at how abuse of that trust to their own personal 1328 01:09:44,240 --> 01:09:47,840 Speaker 1: financial gain is so naked in the open. Keep in mind, 1329 01:09:48,040 --> 01:09:51,160 Speaker 1: in both of these cases, we are already talking about 1330 01:09:51,200 --> 01:09:56,320 Speaker 1: men worth more than one hundred million dollars each. Before 1331 01:09:56,320 --> 01:09:59,479 Speaker 1: they even took office, they could not work a day 1332 01:09:59,520 --> 01:10:02,040 Speaker 1: in their life. If they had to, they'd be completely fine. 1333 01:10:02,320 --> 01:10:05,240 Speaker 1: But that's not enough. They always need more. Now, look, 1334 01:10:05,360 --> 01:10:07,679 Speaker 1: that's fine if you're in business, but when it comes 1335 01:10:07,760 --> 01:10:11,280 Speaker 1: to using public connections to earn even more than it's 1336 01:10:11,280 --> 01:10:14,160 Speaker 1: an abuse of power. Sadly, I know most of the 1337 01:10:14,200 --> 01:10:16,439 Speaker 1: people on the right won't care about this. They have 1338 01:10:16,479 --> 01:10:19,439 Speaker 1: been too conditioned from liberal hypocrisy. And I get it, 1339 01:10:19,760 --> 01:10:22,360 Speaker 1: But take it from somebody who cares about Hunter Biden too. 1340 01:10:22,640 --> 01:10:26,240 Speaker 1: This type of stuff is poison. It tells foreign governments 1341 01:10:26,439 --> 01:10:29,759 Speaker 1: like the Saudis, the Amorades and the Chinese, our people 1342 01:10:29,960 --> 01:10:32,960 Speaker 1: are for sale. It doesn't matter the administration. It doesn't 1343 01:10:32,960 --> 01:10:35,200 Speaker 1: even matter if it's the guy who chanted drain the 1344 01:10:35,240 --> 01:10:37,559 Speaker 1: swamp when it came to winning the White House. If 1345 01:10:37,560 --> 01:10:40,160 Speaker 1: you really believe in that message, as I did, then 1346 01:10:40,200 --> 01:10:42,840 Speaker 1: you have to care about this type of corruption. And 1347 01:10:42,840 --> 01:10:45,639 Speaker 1: that's the thing, Cristle. I mean, look, it's naked, it's 1348 01:10:45,640 --> 01:10:47,720 Speaker 1: pay to play, there's no other way to describe it. 1349 01:10:48,040 --> 01:10:51,400 Speaker 1: He was friends with the Saudis. And if you want 1350 01:10:51,439 --> 01:10:54,559 Speaker 1: to hear my reaction to Sager's monologue, become a premium 1351 01:10:54,560 --> 01:11:00,040 Speaker 1: subscriber today at Breakingpoints dot Com. Joining us now we 1352 01:11:00,200 --> 01:11:03,120 Speaker 1: have doctor Abdul l Sayad. He is he has a 1353 01:11:03,120 --> 01:11:05,400 Speaker 1: lot of accolades. He is a public health doctor. He's 1354 01:11:05,479 --> 01:11:07,880 Speaker 1: former director of the Detroit Health Department. He's host of 1355 01:11:07,920 --> 01:11:10,840 Speaker 1: a podcast called America Dissected. He's a substack writer of 1356 01:11:10,840 --> 01:11:14,519 Speaker 1: Incision Professor, a CNN contributor, and also a Bernie bro 1357 01:11:14,720 --> 01:11:17,400 Speaker 1: Great to see a doctor, Great to see you, Crystal, 1358 01:11:17,720 --> 01:11:19,840 Speaker 1: of course, So we just wanted you to sort of 1359 01:11:19,880 --> 01:11:22,559 Speaker 1: break down for our audience what we know at this 1360 01:11:22,680 --> 01:11:27,200 Speaker 1: point about omicron. Well, we know that this variant has 1361 01:11:27,280 --> 01:11:31,200 Speaker 1: enriched itself extremely quickly in South Africa. It's country of 1362 01:11:31,240 --> 01:11:34,120 Speaker 1: origin now two weeks from when it was first identified, 1363 01:11:34,120 --> 01:11:36,040 Speaker 1: and Richmond is a fancy way of saying how fast 1364 01:11:36,080 --> 01:11:39,080 Speaker 1: it has become the dominant variant of coronavirus. This is 1365 01:11:39,120 --> 01:11:42,360 Speaker 1: faster that we've seen any variant yet. Whild suggests to 1366 01:11:42,439 --> 01:11:44,160 Speaker 1: us that it's more transmissible, and if you look at 1367 01:11:44,200 --> 01:11:48,400 Speaker 1: the virus itself, that the spike protein, which I'm sure 1368 01:11:48,439 --> 01:11:50,280 Speaker 1: folks have heard a lot about now, this is basically 1369 01:11:50,280 --> 01:11:55,000 Speaker 1: the docking protein where the virus can infect your cells, 1370 01:11:55,360 --> 01:11:59,160 Speaker 1: and it has a number of really concerning mutations on it. 1371 01:11:59,280 --> 01:12:04,080 Speaker 1: In fact, fifty of them borrowing both from delta, which 1372 01:12:04,240 --> 01:12:06,800 Speaker 1: make it more transmissible, and also from beta, which can 1373 01:12:06,800 --> 01:12:10,639 Speaker 1: make it more transmissible and potentially more vaccine resistant. Now, 1374 01:12:10,720 --> 01:12:12,559 Speaker 1: a couple things I want folks to understand. We still 1375 01:12:12,560 --> 01:12:16,840 Speaker 1: don't really know much about how vaccine resistant this variant is. 1376 01:12:17,400 --> 01:12:20,200 Speaker 1: There are studies being done right now to figure that out. 1377 01:12:20,680 --> 01:12:23,800 Speaker 1: And then beyond that, there is no likelihood where it's 1378 01:12:23,840 --> 01:12:27,719 Speaker 1: going to be fundamentally fully vaccine resistant that the vaccines 1379 01:12:27,720 --> 01:12:29,760 Speaker 1: are going to be ineffective. It just may make them 1380 01:12:29,840 --> 01:12:33,800 Speaker 1: less effective. The important thing right now is that it 1381 01:12:33,880 --> 01:12:37,599 Speaker 1: is spreading. It's been discovered now in at least twelve countries, 1382 01:12:37,600 --> 01:12:41,120 Speaker 1: including on our own doorstep in Ontario. The high probability 1383 01:12:41,200 --> 01:12:43,759 Speaker 1: is that if it hasn't gotten here, it probably will, 1384 01:12:44,320 --> 01:12:47,400 Speaker 1: and so we really need to be vigilant about this virus. 1385 01:12:47,439 --> 01:12:50,880 Speaker 1: But nothing fundamentally is different today than it was five 1386 01:12:51,000 --> 01:12:53,559 Speaker 1: days ago before we knew about omicron. You still should 1387 01:12:53,600 --> 01:12:56,040 Speaker 1: be getting your third dose if you haven't gotten it, 1388 01:12:56,080 --> 01:12:59,479 Speaker 1: you should still be wearing masks in public indoor settings, 1389 01:13:00,000 --> 01:13:04,599 Speaker 1: should still be focused on washing up and keeping distance 1390 01:13:04,640 --> 01:13:07,760 Speaker 1: if you can. But this is concerning, and there are 1391 01:13:07,800 --> 01:13:11,600 Speaker 1: several reasons why so I'm curious doctor in terms of 1392 01:13:11,640 --> 01:13:14,880 Speaker 1: the transmissibility and all that, we said, the White House 1393 01:13:14,880 --> 01:13:18,479 Speaker 1: saying they're going to take two weeks. What exactly are 1394 01:13:18,520 --> 01:13:21,320 Speaker 1: we going to be looking for in terms of benchmarks 1395 01:13:21,360 --> 01:13:24,600 Speaker 1: within the virus itself and what are the policy implications 1396 01:13:24,640 --> 01:13:27,920 Speaker 1: of that. Well, I told you a little bit about 1397 01:13:27,960 --> 01:13:32,880 Speaker 1: the transmission capacity and the efficiency with which this virus 1398 01:13:33,080 --> 01:13:36,160 Speaker 1: enriched in South Africa. Now, in South Africa there wasn't 1399 01:13:36,200 --> 01:13:39,320 Speaker 1: a high caseload to begin with at the time that 1400 01:13:39,360 --> 01:13:42,960 Speaker 1: omicron first emerged. What we're going to be looking at 1401 01:13:43,080 --> 01:13:46,680 Speaker 1: is the efficiency of enrichment in other countries that have 1402 01:13:47,360 --> 01:13:52,680 Speaker 1: far higher COVID nineteen, specifically delta caseloads. And as we 1403 01:13:52,760 --> 01:13:55,519 Speaker 1: learn more about the transmission of this, we're going to 1404 01:13:55,560 --> 01:13:58,760 Speaker 1: also want to learn more about the impact of our vaccines. 1405 01:13:58,920 --> 01:14:00,680 Speaker 1: The third question I haven't really quite raised, right, So 1406 01:14:00,680 --> 01:14:03,920 Speaker 1: we talked about transmissibility, we talked about vaccine resistance. The 1407 01:14:03,960 --> 01:14:06,640 Speaker 1: third question I haven't raised yet is severity. There is 1408 01:14:06,680 --> 01:14:10,800 Speaker 1: some circumstantial evidence and yet to be rigorously looked at, 1409 01:14:10,840 --> 01:14:13,280 Speaker 1: but circumstantial evidence that this may not be as severe 1410 01:14:13,720 --> 01:14:16,559 Speaker 1: as delta, which would be ultimately very good news given 1411 01:14:16,600 --> 01:14:19,320 Speaker 1: that the key outcomes that we want to prevent aren't 1412 01:14:19,360 --> 01:14:23,200 Speaker 1: just transmission, but also hospitalization in depths. Those really are 1413 01:14:23,240 --> 01:14:25,479 Speaker 1: the key things, and so we have yet to learn 1414 01:14:25,680 --> 01:14:28,080 Speaker 1: more about this. From a policy standpoint, we should have 1415 01:14:28,160 --> 01:14:29,760 Speaker 1: been doing the things that we should have been doing 1416 01:14:29,760 --> 01:14:32,559 Speaker 1: from a very for aver a while. You know, we 1417 01:14:32,560 --> 01:14:35,240 Speaker 1: can't forget the fact that really about thirty five percent 1418 01:14:35,800 --> 01:14:39,040 Speaker 1: of folks in South Africa specifically have been vaccinated, far 1419 01:14:39,120 --> 01:14:42,599 Speaker 1: less in the seven other countries that have been targeted 1420 01:14:42,600 --> 01:14:45,519 Speaker 1: by the US travel band, and our failure to get 1421 01:14:45,560 --> 01:14:49,200 Speaker 1: vaccines out there quickly gave disinformation a head start when 1422 01:14:49,240 --> 01:14:51,600 Speaker 1: it came to convincing people about whether or not to 1423 01:14:51,680 --> 01:14:55,280 Speaker 1: be vaccinated. And we're seeing, unfortunately, history repeat itself. This 1424 01:14:55,320 --> 01:14:58,479 Speaker 1: is the first time that there has been a pandemic 1425 01:14:59,240 --> 01:15:02,559 Speaker 1: in South after Arica. The first time in recent memory 1426 01:15:02,640 --> 01:15:05,479 Speaker 1: was HIV AIDS, and again our failure to get anti 1427 01:15:05,479 --> 01:15:08,360 Speaker 1: retrovirals out there to equit people in those countries to 1428 01:15:08,439 --> 01:15:11,120 Speaker 1: manufacture their own have dire circumstances. We're seeing the same 1429 01:15:11,120 --> 01:15:15,840 Speaker 1: thing here, and then from a bigger perspective, there are 1430 01:15:16,000 --> 01:15:18,080 Speaker 1: tools that we just haven't used or made good use 1431 01:15:18,120 --> 01:15:20,280 Speaker 1: of in the United States, whether it's genomic surveillance, whether 1432 01:15:20,320 --> 01:15:25,280 Speaker 1: it's mass testing, whether tracing contact, tracing people who have 1433 01:15:25,360 --> 01:15:27,320 Speaker 1: been infected, and we should be doing a lot more 1434 01:15:27,360 --> 01:15:29,960 Speaker 1: of those. And from a policy perspective, getting more people 1435 01:15:30,040 --> 01:15:34,120 Speaker 1: vaccinated in investing in those capacities are going to be critical. Yeah. 1436 01:15:34,160 --> 01:15:38,440 Speaker 1: I mean, we talked earlier about the continent of Africa. Overall, 1437 01:15:38,600 --> 01:15:41,880 Speaker 1: South Africa has maybe the highest vaccination rate, certainly among 1438 01:15:41,920 --> 01:15:44,719 Speaker 1: the highest overall. The continent has a six or seven 1439 01:15:44,800 --> 01:15:48,679 Speaker 1: percent vaccination rate. There's a lot of problems, but one 1440 01:15:48,720 --> 01:15:53,240 Speaker 1: of them is the fact that these pharmaceutical companies are 1441 01:15:53,479 --> 01:15:56,760 Speaker 1: keeping secret their formulation. So right now there is an 1442 01:15:56,800 --> 01:16:00,560 Speaker 1: effort in South Africa to try to reverse an engineer 1443 01:16:01,040 --> 01:16:06,280 Speaker 1: Maderna's successful vaccine, and if Maderna would actually help them 1444 01:16:06,280 --> 01:16:08,599 Speaker 1: in that process, they could move that forward a lot 1445 01:16:08,640 --> 01:16:12,000 Speaker 1: more quickly and have more production capacity so that people 1446 01:16:12,040 --> 01:16:14,599 Speaker 1: could get vaccinated and that the prices would be much 1447 01:16:14,600 --> 01:16:18,640 Speaker 1: lower than they are currently. That's absolutely right, Crystal. And 1448 01:16:19,400 --> 01:16:22,479 Speaker 1: here's the brutal irony of it. When they were testing 1449 01:16:22,600 --> 01:16:25,680 Speaker 1: their vaccine, Maderna tested in South Africa. The fact that 1450 01:16:25,720 --> 01:16:28,640 Speaker 1: they have not given doses to that country and to 1451 01:16:28,760 --> 01:16:33,120 Speaker 1: the region is I think just a moral travesty and 1452 01:16:33,120 --> 01:16:36,599 Speaker 1: an ethical failure. And you're speaking to a bigger point here, 1453 01:16:36,640 --> 01:16:41,160 Speaker 1: which is that we have not, as a society decided 1454 01:16:41,280 --> 01:16:43,640 Speaker 1: that the lives of people are more important than the 1455 01:16:43,680 --> 01:16:46,800 Speaker 1: patents of large corporations. And that is keeping millions of 1456 01:16:46,800 --> 01:16:50,080 Speaker 1: people from getting access to vaccines that we know save lives, 1457 01:16:50,120 --> 01:16:52,880 Speaker 1: that we know are safe and effective, and it is 1458 01:16:52,880 --> 01:16:56,920 Speaker 1: contributing to the speed with which omicron can potentially spread 1459 01:16:57,520 --> 01:17:00,960 Speaker 1: in those societies. And so we have to understand that 1460 01:17:01,520 --> 01:17:04,320 Speaker 1: we are in this thing together. This is a global pandemic, 1461 01:17:04,320 --> 01:17:05,960 Speaker 1: after all, and we need to start acting like it. 1462 01:17:06,600 --> 01:17:09,760 Speaker 1: So so far, from a policy perspective, the President has 1463 01:17:09,800 --> 01:17:15,000 Speaker 1: announced travel ban from South Africa and seven other African countries. 1464 01:17:15,400 --> 01:17:17,640 Speaker 1: Do you think that that's an effective approach from a 1465 01:17:17,680 --> 01:17:22,719 Speaker 1: public health standpoint? Unfortunately, no, This is more, it seems 1466 01:17:22,760 --> 01:17:25,599 Speaker 1: about pr than it is about public health, because these 1467 01:17:25,680 --> 01:17:30,360 Speaker 1: bans are only on foreign nationals. People with US passports 1468 01:17:30,800 --> 01:17:33,000 Speaker 1: are allowed to come through, and as many capacities as 1469 01:17:33,040 --> 01:17:36,680 Speaker 1: omicron has, I'm rather sure that discriminating by passport is 1470 01:17:36,720 --> 01:17:39,280 Speaker 1: not one of them. And so what's happening right now 1471 01:17:39,360 --> 01:17:41,880 Speaker 1: is that people in South Africa with US passports are 1472 01:17:41,880 --> 01:17:44,920 Speaker 1: scrambling to come home and potentially bring Amicron here. And 1473 01:17:44,960 --> 01:17:47,000 Speaker 1: that's not to say that we should be banning our 1474 01:17:47,120 --> 01:17:49,240 Speaker 1: US nationals from coming home. That is to say that 1475 01:17:49,240 --> 01:17:50,800 Speaker 1: we've got to be a lot more thoughtful about our 1476 01:17:50,840 --> 01:17:53,680 Speaker 1: policy when folks get home. Rather than a blanket ban, 1477 01:17:53,800 --> 01:17:56,719 Speaker 1: perhaps we should have been instituting the kind of policy 1478 01:17:56,760 --> 01:17:58,920 Speaker 1: that they've had in New Zealand in Australia for a 1479 01:17:58,960 --> 01:18:00,640 Speaker 1: long time, which is to say, when you get off 1480 01:18:00,680 --> 01:18:03,639 Speaker 1: an airplane from another country, you're going to spend ten 1481 01:18:03,720 --> 01:18:07,240 Speaker 1: to fourteen days in quarantine at an off site location 1482 01:18:07,920 --> 01:18:10,680 Speaker 1: and then be allowed to enter the general population. That 1483 01:18:10,800 --> 01:18:13,400 Speaker 1: is the kind of policy that really can prevent a 1484 01:18:13,400 --> 01:18:16,320 Speaker 1: new variant in frankly COVID generally from entering this country 1485 01:18:16,520 --> 01:18:18,280 Speaker 1: by way of plane. And the fact that we have 1486 01:18:18,360 --> 01:18:20,720 Speaker 1: not done that, and the fact that we are sort 1487 01:18:20,760 --> 01:18:24,000 Speaker 1: of knee jerk reflexing to banning people from a certain 1488 01:18:24,000 --> 01:18:25,720 Speaker 1: part of the world, that we have not done the 1489 01:18:25,720 --> 01:18:28,360 Speaker 1: work of getting vaccines in the first place, that to me, 1490 01:18:28,520 --> 01:18:30,880 Speaker 1: I think is part and parcel of the same kind 1491 01:18:30,960 --> 01:18:38,160 Speaker 1: of unfortunate pr focused reaction that I think has kept 1492 01:18:38,240 --> 01:18:40,200 Speaker 1: us from getting the vaccines where they need to go 1493 01:18:40,280 --> 01:18:43,200 Speaker 1: and unfortunately is probably not going to work to keep 1494 01:18:43,200 --> 01:18:46,920 Speaker 1: omicron from entering our shores. Well, one other question for 1495 01:18:46,960 --> 01:18:49,360 Speaker 1: you on the transmissibility, because I know that was one 1496 01:18:49,360 --> 01:18:51,599 Speaker 1: of the things that really caused concern was how quickly 1497 01:18:51,640 --> 01:18:54,639 Speaker 1: it was able to they said out compete delta. Now, 1498 01:18:54,680 --> 01:18:57,280 Speaker 1: my understanding was that those numbers were fairly small, and 1499 01:18:57,280 --> 01:18:59,800 Speaker 1: as you were indicating, there wasn't a lot of delta 1500 01:18:59,840 --> 01:19:01,639 Speaker 1: to be had in South Africa just because their case 1501 01:19:01,720 --> 01:19:04,200 Speaker 1: numbers were small. Right now, so just talk to us 1502 01:19:04,200 --> 01:19:07,240 Speaker 1: about those numbers and the level of certainty around the 1503 01:19:07,240 --> 01:19:12,080 Speaker 1: transmissibility of this particular variant. Yeah, looks nothing right now 1504 01:19:12,160 --> 01:19:15,720 Speaker 1: is certain. We really ought to step back and just 1505 01:19:15,800 --> 01:19:20,080 Speaker 1: wait for the science to pan out before we make 1506 01:19:20,200 --> 01:19:23,920 Speaker 1: any conclusions about omicron. That being said, obviously, what we've 1507 01:19:23,960 --> 01:19:26,040 Speaker 1: learned about COVID is that you got to act early, 1508 01:19:26,080 --> 01:19:29,519 Speaker 1: and you got to act quickly. I think smart public 1509 01:19:29,560 --> 01:19:31,559 Speaker 1: health based actions are what we need right now rather 1510 01:19:31,600 --> 01:19:34,400 Speaker 1: than pr driven actions. But what I will say is 1511 01:19:34,439 --> 01:19:38,160 Speaker 1: that we'll learn a lot more about transmissibility as omicron 1512 01:19:38,200 --> 01:19:41,080 Speaker 1: starts to spread. Unfortunately, in a number of societies where 1513 01:19:41,120 --> 01:19:45,080 Speaker 1: you do have a far higher transmission rate of delta 1514 01:19:45,760 --> 01:19:48,400 Speaker 1: than you did in South Africa and South Africa, this 1515 01:19:48,479 --> 01:19:51,720 Speaker 1: emerged in a time when COVID cases were relatively low. 1516 01:19:51,760 --> 01:19:54,400 Speaker 1: It did cause a major spike, and it did overall 1517 01:19:54,439 --> 01:19:57,840 Speaker 1: outcompete the other variants rather quickly, within two weeks from 1518 01:19:57,880 --> 01:20:00,519 Speaker 1: when we identified it. But we're going to learn a 1519 01:20:00,520 --> 01:20:04,559 Speaker 1: lot more as we watch this spread in other European 1520 01:20:04,600 --> 01:20:08,720 Speaker 1: countries and unfortunately probably our own and where we do 1521 01:20:08,800 --> 01:20:12,960 Speaker 1: have significant delta spread, that efficiency is going to be 1522 01:20:12,960 --> 01:20:15,080 Speaker 1: put to the test. That being said, if you do 1523 01:20:15,120 --> 01:20:18,559 Speaker 1: look at the biomechanics of this virus, there's a lot 1524 01:20:18,560 --> 01:20:23,000 Speaker 1: of reason to believe that the capacity for transmission is justified. 1525 01:20:23,000 --> 01:20:25,000 Speaker 1: But we'll be learning more and the science is yet 1526 01:20:25,360 --> 01:20:29,360 Speaker 1: unclear on this particular variant. Well, I really appreciate you 1527 01:20:29,479 --> 01:20:31,920 Speaker 1: joining us. Doctor actually really helps in terms of me 1528 01:20:32,000 --> 01:20:34,240 Speaker 1: wrapping my own head around it. I hope it'll help 1529 01:20:34,320 --> 01:20:36,880 Speaker 1: the audience. So thank you very much, sir, appreciate it. Yeah, 1530 01:20:36,920 --> 01:20:39,840 Speaker 1: thanks for having me absolutely all right, everybody, thank you 1531 01:20:39,840 --> 01:20:41,919 Speaker 1: so much for watching. I hope you had a wonderful 1532 01:20:41,960 --> 01:20:45,559 Speaker 1: Thanksgiving holiday. Was really just great to be back, and 1533 01:20:45,800 --> 01:20:48,280 Speaker 1: really I was just thinking about how awesome it is 1534 01:20:48,320 --> 01:20:49,960 Speaker 1: to have done this show. You know, we're coming up 1535 01:20:50,000 --> 01:20:53,519 Speaker 1: on exactly six months since Weena, which is crazy, crazy 1536 01:20:54,160 --> 01:20:55,720 Speaker 1: for that to be the case. You guys showed up 1537 01:20:55,720 --> 01:20:57,840 Speaker 1: for us in a big way, and we continue every 1538 01:20:57,840 --> 01:21:00,320 Speaker 1: single day after the show talking about the big plans 1539 01:21:00,360 --> 01:21:02,240 Speaker 1: that we have here. If you can help us with 1540 01:21:02,320 --> 01:21:04,720 Speaker 1: those plans, we deeply appreciate it. Premium link is down 1541 01:21:04,760 --> 01:21:06,960 Speaker 1: there in the description. It's not just about the benefits 1542 01:21:07,240 --> 01:21:08,880 Speaker 1: and all that stuff that we offer you. It's about 1543 01:21:08,880 --> 01:21:11,280 Speaker 1: how we can create the best show and spread the 1544 01:21:11,280 --> 01:21:13,280 Speaker 1: word to as many people as possible and really gear 1545 01:21:13,360 --> 01:21:16,040 Speaker 1: up for the midterms. We're just getting started. Yeah, that 1546 01:21:16,120 --> 01:21:17,960 Speaker 1: is absolutely right. All right, We love you guys, have 1547 01:21:18,000 --> 01:21:20,000 Speaker 1: a great day. We'll see you back here tomorrow. Tomorrow.