1 00:00:00,240 --> 00:00:02,360 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,280 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,400 --> 00:00:07,200 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,920 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,240 --> 00:00:15,800 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,800 --> 00:00:18,400 Speaker 1: of dollars doing it to help support our mission of 7 00:00:18,440 --> 00:00:20,720 Speaker 1: making all of us hate each other, less hate the 8 00:00:20,760 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. 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We have an amazing show for everybody today. 19 00:01:08,480 --> 00:01:10,320 Speaker 1: What do we have? Crystal? Indeed, wee days some pretty 20 00:01:10,319 --> 00:01:13,840 Speaker 1: interesting stories we're tracking this morning. I look back at 21 00:01:13,880 --> 00:01:18,040 Speaker 1: the way that both Republicans and Democrats commemorated one to six. 22 00:01:18,440 --> 00:01:20,440 Speaker 1: We have all the worst, all the sort of worst 23 00:01:20,440 --> 00:01:22,959 Speaker 1: takes for you on both sides of the aisle, so 24 00:01:23,160 --> 00:01:26,760 Speaker 1: you'll probably enjoy that. We certainly enjoyed putting it together. Also, 25 00:01:26,959 --> 00:01:29,960 Speaker 1: big moves at the Supreme Court. Biden's vaccine or test 26 00:01:30,120 --> 00:01:33,200 Speaker 1: mandate seems very much in danger, so we'll take you 27 00:01:33,240 --> 00:01:38,000 Speaker 1: inside of the arguments and what the implications there may be. Major, 28 00:01:38,640 --> 00:01:41,640 Speaker 1: major screw up from Politico. It's one of the worst 29 00:01:41,640 --> 00:01:45,120 Speaker 1: I've ever seen. Unbelievable. They said that Sonya Soto mayor, 30 00:01:45,360 --> 00:01:48,400 Speaker 1: who had done the oral arguments in this Skota's case 31 00:01:49,000 --> 00:01:52,240 Speaker 1: remotely because of her own concerns about coronavirus and she 32 00:01:52,320 --> 00:01:55,760 Speaker 1: has comorbidity with it. They said they spotted her out 33 00:01:56,120 --> 00:01:59,640 Speaker 1: maskless dining. Of course, this creates this whole firestorm, and 34 00:01:59,680 --> 00:02:03,520 Speaker 1: then it turns out not only were they wrong, but 35 00:02:04,040 --> 00:02:07,600 Speaker 1: they didn't even check with the people involved before they 36 00:02:07,640 --> 00:02:11,200 Speaker 1: published this incredibly inflammatory news item. So we'll take you 37 00:02:11,240 --> 00:02:13,120 Speaker 1: inside all of that. Also have first time guests on 38 00:02:13,160 --> 00:02:16,839 Speaker 1: the show and economist Philip Pilkington, who has a really 39 00:02:16,840 --> 00:02:21,079 Speaker 1: interesting piece on potential coming sort of intergenerational warfare. Of course, 40 00:02:21,120 --> 00:02:23,960 Speaker 1: we've tracked here the way that younger generations have just 41 00:02:24,000 --> 00:02:26,880 Speaker 1: gotten absolutely screwed. How hard it is to buy a house, 42 00:02:26,919 --> 00:02:29,399 Speaker 1: how hard it is to start a family, how sort 43 00:02:29,400 --> 00:02:32,520 Speaker 1: of their trajectory has really been thrown off course for 44 00:02:32,560 --> 00:02:35,000 Speaker 1: their entire lives. So be interesting to talk to him. 45 00:02:35,240 --> 00:02:38,239 Speaker 1: But we wanted to start with what was a very 46 00:02:38,280 --> 00:02:41,960 Speaker 1: disappointing jobs report on Friday. At least that was the 47 00:02:42,000 --> 00:02:45,079 Speaker 1: sort of top line number. The full picture is a 48 00:02:45,120 --> 00:02:47,560 Speaker 1: little more complicated, but let's go ahead and throw this 49 00:02:47,600 --> 00:02:50,160 Speaker 1: New York Times tear sheet there up on the screen. 50 00:02:50,400 --> 00:02:54,440 Speaker 1: So the major headline is US hiring slowed in December 51 00:02:54,480 --> 00:02:58,480 Speaker 1: as employers struggled to find workers. The economy added just 52 00:02:58,560 --> 00:03:02,000 Speaker 1: one hundred and ninety nine thousand jobs in December on 53 00:03:02,040 --> 00:03:05,160 Speaker 1: a seasonally adjusted basis. That is down from November's number, 54 00:03:05,200 --> 00:03:08,280 Speaker 1: which is two forty nine. It was also significantly off 55 00:03:08,280 --> 00:03:11,600 Speaker 1: of expectations, were somewhere in the four hundred thousand job range, 56 00:03:11,919 --> 00:03:16,160 Speaker 1: so significantly off of expectations. Those gains were the smallest 57 00:03:16,240 --> 00:03:19,400 Speaker 1: of the entire year, and at the same time, though, 58 00:03:19,440 --> 00:03:22,119 Speaker 1: there were some signs that those looking for jobs last 59 00:03:22,160 --> 00:03:25,119 Speaker 1: month were finding them. The unemployment rate fell to three 60 00:03:25,120 --> 00:03:28,760 Speaker 1: point nine percent from four point two percent. Wages continue 61 00:03:28,800 --> 00:03:31,040 Speaker 1: to search. So when you look at this all together, 62 00:03:31,440 --> 00:03:34,760 Speaker 1: you see slow job creation, but you see unemployment rate 63 00:03:34,800 --> 00:03:38,760 Speaker 1: continuing to fall, you see wages continuing to gain. Of course, 64 00:03:38,800 --> 00:03:41,920 Speaker 1: those are being eaten by inflation, so there isn't a 65 00:03:42,000 --> 00:03:46,040 Speaker 1: real wage gain ultimately, but a very complex picture here 66 00:03:46,480 --> 00:03:48,960 Speaker 1: where you still have things that are kind of out 67 00:03:48,960 --> 00:03:51,080 Speaker 1: of whack from the pandemic. And the bottom line is, 68 00:03:51,480 --> 00:03:53,560 Speaker 1: even as you have had a lot of jobs returned, 69 00:03:53,560 --> 00:03:57,160 Speaker 1: we're still millions of jobs below where we were pre pandemic. 70 00:03:57,200 --> 00:03:59,280 Speaker 1: That's the part where nobody really wants to talk about. 71 00:03:59,320 --> 00:04:02,160 Speaker 1: Biden be like, we have three point nine percent unemployment rate. 72 00:04:02,200 --> 00:04:04,440 Speaker 1: It's like, yes, but our labor force participation rate is 73 00:04:04,480 --> 00:04:08,080 Speaker 1: still not that great, not even back to pre pandemic levels. 74 00:04:08,200 --> 00:04:10,200 Speaker 1: We have millions of people who have just dropped out 75 00:04:10,240 --> 00:04:12,680 Speaker 1: of the workforce. In fact, what they point to is 76 00:04:12,720 --> 00:04:15,200 Speaker 1: that the lack of hiring is not because there's not 77 00:04:15,320 --> 00:04:18,880 Speaker 1: enough jobs. It's because the labor force participation rate remains 78 00:04:18,960 --> 00:04:22,039 Speaker 1: quite low. The only good thing out of all of 79 00:04:22,040 --> 00:04:24,320 Speaker 1: this is that blue collar workers are getting a pretty 80 00:04:24,360 --> 00:04:28,440 Speaker 1: significant raise in specific sectors. So leisure and hospitality wages 81 00:04:28,800 --> 00:04:32,880 Speaker 1: compared to January twenty nineteen are up almost twenty percent. 82 00:04:33,240 --> 00:04:37,120 Speaker 1: Retail same thing right below it, Business services, education and 83 00:04:37,200 --> 00:04:40,680 Speaker 1: healthcare and all industries is actually up by fifteen percent 84 00:04:40,960 --> 00:04:44,440 Speaker 1: on a baseline. Manufacturing, though, and construction continue to be 85 00:04:45,160 --> 00:04:48,280 Speaker 1: quite down, only about ten percent increase. Of course, none 86 00:04:48,320 --> 00:04:51,599 Speaker 1: of this really does keep pace with inflation. And there's 87 00:04:51,640 --> 00:04:53,719 Speaker 1: so many myths that have been busted here, Crystal. The 88 00:04:53,800 --> 00:04:58,000 Speaker 1: number one is well, unemployment and unemployment insurance was not 89 00:04:58,160 --> 00:05:01,000 Speaker 1: keeping the economy down. We know that almost for certain, yes, 90 00:05:01,520 --> 00:05:04,560 Speaker 1: which is that the labor force participation rate did not change. 91 00:05:04,640 --> 00:05:06,720 Speaker 1: And it seems that a lot of people, I'll say 92 00:05:06,720 --> 00:05:08,520 Speaker 1: it to one, blue in the face, just said, hey, 93 00:05:08,720 --> 00:05:11,440 Speaker 1: that job sucked. I'm not going back yet at that weight. 94 00:05:11,680 --> 00:05:14,080 Speaker 1: People used to treat me very badly. I'm just not 95 00:05:14,120 --> 00:05:16,080 Speaker 1: going to deal with it. I'm taking some time off 96 00:05:16,360 --> 00:05:18,960 Speaker 1: early retirement. I'm going to spend more time with my kids. 97 00:05:19,120 --> 00:05:21,520 Speaker 1: Schools are still chaos. I can't afford to go back 98 00:05:21,600 --> 00:05:24,160 Speaker 1: right now. That, more than anything, is what is a 99 00:05:24,240 --> 00:05:27,200 Speaker 1: quote unquote drag on the economy. But even looking at 100 00:05:27,240 --> 00:05:29,520 Speaker 1: it that way, I think is really bad. I mean, 101 00:05:29,720 --> 00:05:31,679 Speaker 1: these are all human beings. There are millions and millions 102 00:05:31,720 --> 00:05:34,880 Speaker 1: of people making individual choices, and on balance, while it 103 00:05:34,960 --> 00:05:37,440 Speaker 1: is bad for Biden, and yes, you know it's a 104 00:05:37,520 --> 00:05:40,120 Speaker 1: very transitional time in the labor market, I continue to 105 00:05:40,120 --> 00:05:42,480 Speaker 1: just see a good trend for blue collar workers and 106 00:05:42,480 --> 00:05:44,239 Speaker 1: for people out there who want to start a business, 107 00:05:44,279 --> 00:05:46,159 Speaker 1: like now is one of the best times. The big 108 00:05:46,160 --> 00:05:48,280 Speaker 1: problem is inflation. I mean, that's the thing, and that's 109 00:05:48,320 --> 00:05:51,800 Speaker 1: why people feel so unsettled and so uncertain, and like 110 00:05:52,080 --> 00:05:55,720 Speaker 1: why you have such a high proportion of the American 111 00:05:55,760 --> 00:05:58,880 Speaker 1: public who say they are worse off financially than they 112 00:05:58,880 --> 00:06:00,720 Speaker 1: were last year. I mean the other piece of that 113 00:06:01,160 --> 00:06:04,400 Speaker 1: is that there were pandemic error programs that really benefited people, 114 00:06:04,720 --> 00:06:06,680 Speaker 1: that help them have a little bit of savings in 115 00:06:06,720 --> 00:06:08,520 Speaker 1: the account so that they were able to pay down 116 00:06:08,520 --> 00:06:11,880 Speaker 1: some bills, not be so entirely like right back up 117 00:06:11,880 --> 00:06:15,080 Speaker 1: against the wall. That's all been spent down. The bank 118 00:06:15,080 --> 00:06:17,760 Speaker 1: accounts are back down to where they were before the 119 00:06:17,760 --> 00:06:21,440 Speaker 1: pandemic spending programs, and now you have prices rising at 120 00:06:21,440 --> 00:06:24,280 Speaker 1: the gas pump, the grocery store, and the sense that 121 00:06:24,800 --> 00:06:27,400 Speaker 1: even though I may have more choices now, I may 122 00:06:27,400 --> 00:06:29,000 Speaker 1: be able to leave my job and may be able 123 00:06:29,000 --> 00:06:32,000 Speaker 1: to get a higher paying job. Even though that's going on, 124 00:06:32,360 --> 00:06:34,640 Speaker 1: all of those gains are being eaten by inflation. And 125 00:06:34,680 --> 00:06:36,800 Speaker 1: I think that's the big part that's kind of missing 126 00:06:36,800 --> 00:06:39,520 Speaker 1: from this report, because honestly, you know, the top line 127 00:06:39,560 --> 00:06:41,719 Speaker 1: number of the number of jobs created isn't great, But 128 00:06:42,520 --> 00:06:44,560 Speaker 1: the fact that there is a tight labor market, which 129 00:06:44,600 --> 00:06:47,719 Speaker 1: is what this obviously shows, is a wonderful thing for workers. 130 00:06:47,839 --> 00:06:49,520 Speaker 1: Some of the things we've been tracking have been very 131 00:06:49,600 --> 00:06:51,800 Speaker 1: encouraging in terms of the great resignation, in terms of 132 00:06:51,839 --> 00:06:54,600 Speaker 1: the union movement, the strikes, workers who feel like they 133 00:06:54,600 --> 00:06:57,800 Speaker 1: can assert themselves and actually achieve some gains in their workplaces. 134 00:06:57,839 --> 00:06:59,760 Speaker 1: I mean, lord, we haven't had that in our entire 135 00:06:59,800 --> 00:07:03,920 Speaker 1: life lives, literally your life or my lifetime, we haven't 136 00:07:03,920 --> 00:07:06,760 Speaker 1: seen that. But on the other hand, you have deep 137 00:07:06,839 --> 00:07:10,560 Speaker 1: pessimism about this economy. People feel like they're sliding back 138 00:07:10,560 --> 00:07:12,800 Speaker 1: where its People feeling like we may be headed into 139 00:07:12,880 --> 00:07:16,400 Speaker 1: a recession, which by the way, is not a crazy fear, 140 00:07:16,520 --> 00:07:20,200 Speaker 1: especially when you have the FED looking at unwinding some 141 00:07:20,280 --> 00:07:23,440 Speaker 1: of the extraordinary measures that they've been taking and hiking 142 00:07:23,480 --> 00:07:26,480 Speaker 1: interest rates to try to check inflation, so that is 143 00:07:26,560 --> 00:07:30,360 Speaker 1: not a crazy, a crazy fear on the part of Americans. 144 00:07:30,400 --> 00:07:34,200 Speaker 1: The other piece of this, it reminds me politically of 145 00:07:34,240 --> 00:07:38,480 Speaker 1: where Obama was in twenty twelve and then even you know, 146 00:07:38,600 --> 00:07:40,880 Speaker 1: trying to sell the case for Hillary Clinton going into 147 00:07:40,880 --> 00:07:44,040 Speaker 1: twenty sixteen, which is that they really wanted to argue 148 00:07:44,360 --> 00:07:48,440 Speaker 1: the economy's great. Guys, this is amazing. I mean, I 149 00:07:48,560 --> 00:07:51,600 Speaker 1: did a great job with the recovery, and Americans felt 150 00:07:51,920 --> 00:07:55,560 Speaker 1: very differently about the reality because they saw the way, 151 00:07:55,720 --> 00:07:57,920 Speaker 1: you know, the way their lives have been turned upside down. 152 00:07:58,040 --> 00:08:01,840 Speaker 1: They saw the way that middle class and high earning 153 00:08:01,920 --> 00:08:06,960 Speaker 1: jobs went away during the recession, and what was replaced 154 00:08:07,000 --> 00:08:11,240 Speaker 1: them was mostly low wage jobs, so massive inequality, the 155 00:08:11,280 --> 00:08:15,080 Speaker 1: slowness of that recovery. People never bought that the Obama 156 00:08:15,400 --> 00:08:18,320 Speaker 1: recovery was an amazing thing. And now basically even his 157 00:08:18,400 --> 00:08:21,280 Speaker 1: economists admit that some of the moves that they make 158 00:08:21,520 --> 00:08:23,560 Speaker 1: made in the inadequacy of the stimulus and all of 159 00:08:23,600 --> 00:08:26,000 Speaker 1: those things, their failure bail out homeowners while they were 160 00:08:26,000 --> 00:08:28,840 Speaker 1: bailing out Wall Street contributed to a slow recovery. So 161 00:08:28,920 --> 00:08:30,920 Speaker 1: ultimately they even had to kind of acknowledge, you know 162 00:08:30,960 --> 00:08:33,720 Speaker 1: what the American people were right about this. Well, Biden 163 00:08:33,840 --> 00:08:35,640 Speaker 1: is now in the position of trying to do the 164 00:08:35,640 --> 00:08:38,480 Speaker 1: same thing, sell the American people on a recovery that 165 00:08:38,520 --> 00:08:42,440 Speaker 1: they just frankly are not feeling. This Job's chart got 166 00:08:42,480 --> 00:08:47,640 Speaker 1: a lot of derision online, justifiably, so I would say 167 00:08:47,679 --> 00:08:49,720 Speaker 1: so the White House tweets the sound under President Biden, 168 00:08:49,760 --> 00:08:52,760 Speaker 1: the economy is creating more jobs per month than under 169 00:08:52,920 --> 00:08:57,320 Speaker 1: any other president ever per month. Okay, so a couple 170 00:08:57,400 --> 00:09:00,160 Speaker 1: of things there. First of all, average per month, it's 171 00:09:00,160 --> 00:09:03,880 Speaker 1: a super weird and selective metric, especially when you're comparing 172 00:09:03,920 --> 00:09:06,719 Speaker 1: yourself to people who served entire terms or people who 173 00:09:06,760 --> 00:09:09,880 Speaker 1: served two terms, so you're taking your average over one 174 00:09:10,240 --> 00:09:14,439 Speaker 1: extraordinarily strange year versus you know, eight years under Obama, 175 00:09:14,600 --> 00:09:17,360 Speaker 1: eight years under Bill Clinton, et cetera. So that's one thing. 176 00:09:17,600 --> 00:09:20,880 Speaker 1: But the other thing is like, obviously there was gonna 177 00:09:20,920 --> 00:09:25,080 Speaker 1: be a lot of jobs created coming out of the pandemic, 178 00:09:25,600 --> 00:09:27,720 Speaker 1: not that we're fully out of it, but that was 179 00:09:27,800 --> 00:09:31,240 Speaker 1: gonna happen regardless. So it just it's it's not very persuasive. 180 00:09:31,320 --> 00:09:32,840 Speaker 1: I remember when Trump would do this, you'd be like, 181 00:09:32,880 --> 00:09:35,280 Speaker 1: in our first year in office, we've created more jobs 182 00:09:35,280 --> 00:09:37,640 Speaker 1: than President Obama did. I'm like, yes, well, his first 183 00:09:37,720 --> 00:09:40,240 Speaker 1: year in office was the Great Recession. It was like, 184 00:09:40,920 --> 00:09:43,800 Speaker 1: that wasn't really his doing. The president does this and 185 00:09:43,840 --> 00:09:46,880 Speaker 1: it always annoys the crap out of me. But Biden 186 00:09:47,040 --> 00:09:49,640 Speaker 1: is just so tone deaf with this type, with this chart, 187 00:09:49,720 --> 00:09:52,120 Speaker 1: I mean the CEA. They continue to put this stuff out, 188 00:09:52,360 --> 00:09:54,760 Speaker 1: remember the infamous gas prices chart. We're like, well, let's 189 00:09:54,800 --> 00:09:59,280 Speaker 1: drop by a single penny. See, we're actually making some progress. Look, 190 00:09:59,400 --> 00:10:01,160 Speaker 1: you need to meet people where they are. And he 191 00:10:01,200 --> 00:10:02,840 Speaker 1: did a little bit of that in his speech. It 192 00:10:02,840 --> 00:10:04,840 Speaker 1: was a very small glimpse, which will show you. But 193 00:10:04,920 --> 00:10:07,679 Speaker 1: he continues to fall prey to the same things that 194 00:10:07,679 --> 00:10:10,600 Speaker 1: Trump did, that Obama did, where whenever you're out of 195 00:10:10,600 --> 00:10:12,679 Speaker 1: step with the American people, the worst thing you can 196 00:10:12,720 --> 00:10:14,920 Speaker 1: do is start with fake charts. And the second thing 197 00:10:14,920 --> 00:10:17,280 Speaker 1: you can do is only talk about the stock market 198 00:10:17,440 --> 00:10:19,760 Speaker 1: and lo and behold, that's what he started doing. Let's 199 00:10:19,760 --> 00:10:21,839 Speaker 1: take a listen. There's never been a time I can 200 00:10:21,920 --> 00:10:25,240 Speaker 1: think of when the middle class, work class have done well. 201 00:10:25,280 --> 00:10:29,240 Speaker 1: If the wealthy haven't done very well, working families need 202 00:10:29,280 --> 00:10:32,080 Speaker 1: to get a fighting chance. And by the way, the 203 00:10:32,120 --> 00:10:37,320 Speaker 1: stock market, the last guy's measure of everything, it's about 204 00:10:37,360 --> 00:10:41,600 Speaker 1: twenty percent higher than it was when my predecessor was there. 205 00:10:42,360 --> 00:10:45,080 Speaker 1: It has hit record after record after record on my 206 00:10:45,200 --> 00:10:49,480 Speaker 1: watch while making things more equitable for working class people 207 00:10:50,040 --> 00:10:53,160 Speaker 1: the same, you know. I mean, look, yeah, he said, 208 00:10:53,200 --> 00:10:55,320 Speaker 1: per the last guy. But then the Biden and a 209 00:10:55,320 --> 00:10:57,440 Speaker 1: lot of their people were coming out and saying like, 210 00:10:57,640 --> 00:11:00,560 Speaker 1: oh see, the stock market is high. Do you start 211 00:11:00,600 --> 00:11:02,440 Speaker 1: to try and play those games which aren't in touch 212 00:11:02,480 --> 00:11:04,559 Speaker 1: with the average American, You're just not going to be 213 00:11:04,640 --> 00:11:06,719 Speaker 1: able to make it. I actually thought the best part 214 00:11:06,720 --> 00:11:08,360 Speaker 1: of a speech we noticed this was when he was 215 00:11:08,360 --> 00:11:11,080 Speaker 1: talking about rising car prices. This was in a back 216 00:11:11,080 --> 00:11:14,360 Speaker 1: and forth with some of the reporters around inflation, and 217 00:11:14,400 --> 00:11:16,880 Speaker 1: he actually got to I mean, this is always the problem, 218 00:11:16,960 --> 00:11:18,840 Speaker 1: and he seems to understand a tiny bit, but he's 219 00:11:18,920 --> 00:11:22,440 Speaker 1: just so deeply unpopular and obviously just barely there. Every 220 00:11:22,440 --> 00:11:24,400 Speaker 1: once in a while has a good moment. This was 221 00:11:24,440 --> 00:11:26,680 Speaker 1: one of them. Let's take a listen. But here's the 222 00:11:26,720 --> 00:11:31,800 Speaker 1: way look at it. Car prices are too high right now. 223 00:11:32,200 --> 00:11:36,000 Speaker 1: The two solutions increase the supply of cars by making 224 00:11:36,040 --> 00:11:39,199 Speaker 1: more of them, or he reduced demand for cars by 225 00:11:39,200 --> 00:11:43,680 Speaker 1: making Americas poor that's a choice, believe it or not. 226 00:11:43,840 --> 00:11:46,960 Speaker 1: There's a lot of people in the second camp. You're 227 00:11:46,960 --> 00:11:51,199 Speaker 1: hearing them complain that wages arising too fast among very 228 00:11:51,240 --> 00:11:55,000 Speaker 1: middle class and working class people who have endured decades 229 00:11:55,040 --> 00:12:00,040 Speaker 1: of installed incomes. Their view of the economy says, the 230 00:12:00,080 --> 00:12:05,040 Speaker 1: only solution to our current future challenges is to make 231 00:12:05,080 --> 00:12:07,600 Speaker 1: the working families that are at the backbone in our 232 00:12:07,640 --> 00:12:10,240 Speaker 1: country poor or keep them in the safe state they're in. 233 00:12:12,120 --> 00:12:15,319 Speaker 1: See that is actually astute in terms of talking about supply, 234 00:12:15,520 --> 00:12:18,640 Speaker 1: But again, no credibility, not like he actually has a 235 00:12:18,640 --> 00:12:21,200 Speaker 1: plan in order to get any of this stuff done, 236 00:12:21,280 --> 00:12:24,360 Speaker 1: and continues to play with the same chicanery charts that 237 00:12:24,400 --> 00:12:27,240 Speaker 1: Obama and those people did, where normal people look at 238 00:12:27,240 --> 00:12:28,960 Speaker 1: you and go, what are you talking about? My life 239 00:12:29,120 --> 00:12:30,920 Speaker 1: is miserable. You know. There was a book I read 240 00:12:30,960 --> 00:12:33,559 Speaker 1: back in twenty fourteen called The Unwinding, and if you 241 00:12:33,600 --> 00:12:36,040 Speaker 1: think about it's written by George Packer. It was interviewed 242 00:12:36,080 --> 00:12:38,240 Speaker 1: a bunch of people who had just been whacked by 243 00:12:38,240 --> 00:12:40,960 Speaker 1: the Great Recession, and a consistent theme through all of 244 00:12:40,960 --> 00:12:43,400 Speaker 1: it was what is Obama talking about? I'm still suffering 245 00:12:43,440 --> 00:12:45,679 Speaker 1: out here. I gave him a second chance, but the 246 00:12:45,679 --> 00:12:49,200 Speaker 1: script for Trump was written in that book in retrospect, 247 00:12:49,559 --> 00:12:52,280 Speaker 1: is that America was getting hollowed out, is that there 248 00:12:52,480 --> 00:12:55,280 Speaker 1: wasn't a real connect between the White House and more 249 00:12:55,320 --> 00:12:59,000 Speaker 1: and whenever that happens, people go elsewhere real quickly. We've 250 00:12:59,040 --> 00:13:01,640 Speaker 1: literally seen this movie before, and yet they continue to 251 00:13:01,679 --> 00:13:03,720 Speaker 1: repeat the same story. I mean, if the Republicans hadn't 252 00:13:03,800 --> 00:13:07,720 Speaker 1: run a cartoon character of like plutocratic out of touchness 253 00:13:07,760 --> 00:13:11,000 Speaker 1: in Mitt Romney, Ovona was very vulnerable because of this 254 00:13:11,120 --> 00:13:14,480 Speaker 1: exact dynamic. And then I think this plays out very 255 00:13:14,520 --> 00:13:17,880 Speaker 1: dramatically when he tries to put his hands on Hillary 256 00:13:17,880 --> 00:13:20,559 Speaker 1: Clinton and say she's the one to continue the policies, 257 00:13:20,600 --> 00:13:22,840 Speaker 1: and people said, hell, no, we don't want that, and 258 00:13:22,920 --> 00:13:26,199 Speaker 1: we feel like you are very disconnected from the reality 259 00:13:26,240 --> 00:13:28,880 Speaker 1: of the lives that were actually leading. I mean, that's 260 00:13:28,960 --> 00:13:32,880 Speaker 1: one factor of many why Trump ends up ultimately in office. 261 00:13:33,160 --> 00:13:36,080 Speaker 1: And so listen, Biden has a lot of numbers that 262 00:13:36,160 --> 00:13:39,120 Speaker 1: he can pull on the unemployment rate, on the number 263 00:13:39,120 --> 00:13:41,520 Speaker 1: of jobs that are created, apparently, on the stock market, 264 00:13:42,280 --> 00:13:45,720 Speaker 1: all of these things, but it really doesn't matter throwing 265 00:13:45,720 --> 00:13:48,760 Speaker 1: a bunch of numbers and charts and data at people 266 00:13:48,880 --> 00:13:52,800 Speaker 1: when they just don't feel that and experience that in 267 00:13:52,840 --> 00:13:55,360 Speaker 1: their lives. I think we've shown you guys a couple times. 268 00:13:55,600 --> 00:13:58,360 Speaker 1: The high proportions came from the New York Fed about 269 00:13:58,400 --> 00:14:01,120 Speaker 1: third of Americans who say are saw financially now than 270 00:14:01,120 --> 00:14:03,960 Speaker 1: a year ago. That's the highest number since the beginning 271 00:14:03,960 --> 00:14:06,920 Speaker 1: of the pandemic, when the bottom literally fell out of 272 00:14:06,960 --> 00:14:10,280 Speaker 1: the economy. So that's the stunning number. And then CNBC 273 00:14:10,600 --> 00:14:16,320 Speaker 1: just had some polling that backed up the pessimism and 274 00:14:16,679 --> 00:14:19,880 Speaker 1: the struggle that Americans are feeling right now in their 275 00:14:19,880 --> 00:14:22,000 Speaker 1: own households. Let's go ahead and put this tear sheet 276 00:14:22,360 --> 00:14:26,160 Speaker 1: up on the screen. Biden's disapproval hits a new high, 277 00:14:26,480 --> 00:14:30,040 Speaker 1: and the big reason is because people are dissatisfied with 278 00:14:30,200 --> 00:14:32,920 Speaker 1: what he has done on the economy. The economy was 279 00:14:32,960 --> 00:14:35,840 Speaker 1: the top priority for men and women of every age, 280 00:14:35,880 --> 00:14:38,720 Speaker 1: cohort of Latino and white voters, those with and without 281 00:14:38,760 --> 00:14:42,520 Speaker 1: college degrees. Black respondents said racism is their chief priority, 282 00:14:42,520 --> 00:14:46,000 Speaker 1: but the economy was second place, and sixty percent of 283 00:14:46,080 --> 00:14:50,120 Speaker 1: the survey's respondents said they disapprove of Biden's handling of 284 00:14:50,160 --> 00:14:54,080 Speaker 1: the economy. That is a six point decline from September. 285 00:14:54,440 --> 00:14:58,240 Speaker 1: On personal economic issues, voters were even more likely to 286 00:14:58,280 --> 00:15:02,600 Speaker 1: criticize the president. Seventy two percent disapprove of his handling 287 00:15:02,640 --> 00:15:06,600 Speaker 1: of the price of everyday goods, sixty six percent disapprove 288 00:15:06,720 --> 00:15:11,080 Speaker 1: of his efforts to help their wallets. So again, you 289 00:15:11,120 --> 00:15:13,720 Speaker 1: can throw all the numbers and charts and data, and 290 00:15:13,760 --> 00:15:15,880 Speaker 1: Obama tried very much to do the same thing, and 291 00:15:15,880 --> 00:15:18,800 Speaker 1: frankly was a much more talent and charismatic and persuasive 292 00:15:19,200 --> 00:15:23,280 Speaker 1: communicator of that message. If people aren't living that and 293 00:15:23,400 --> 00:15:27,320 Speaker 1: experiencing that, and if you are not, sort of it's 294 00:15:27,360 --> 00:15:29,720 Speaker 1: a tricky dance because you don't want to feed into 295 00:15:29,760 --> 00:15:32,200 Speaker 1: the pessimism. You want to try to sell what you're 296 00:15:32,200 --> 00:15:35,400 Speaker 1: doing as an accomplishment. But if you aren't landing in 297 00:15:35,480 --> 00:15:38,880 Speaker 1: terms of feeling like you know, people understand what they're 298 00:15:38,920 --> 00:15:41,920 Speaker 1: going through, then you're politically going to be in a 299 00:15:42,080 --> 00:15:43,800 Speaker 1: very bad place. People are just going to think you're 300 00:15:43,800 --> 00:15:45,520 Speaker 1: out of touch. And that's where things stand right now. 301 00:15:45,600 --> 00:15:47,720 Speaker 1: That's what happened, and this is the problem. I mean, look, 302 00:15:47,960 --> 00:15:50,240 Speaker 1: I've said this so many times around FDR and the 303 00:15:50,280 --> 00:15:53,560 Speaker 1: Great Depression. A lot of it was just I understand 304 00:15:53,720 --> 00:15:56,480 Speaker 1: how bad things are out there. Here is everything I'm doing, 305 00:15:56,640 --> 00:15:59,560 Speaker 1: every single day in order to try and do something 306 00:15:59,600 --> 00:16:02,440 Speaker 1: about it. And he's very haphazard. He's not in front 307 00:16:02,480 --> 00:16:05,440 Speaker 1: of the camera. He's not a charismatic leader. Over the weekend, 308 00:16:05,440 --> 00:16:06,960 Speaker 1: where was he? I mean, I know he was at 309 00:16:06,960 --> 00:16:09,200 Speaker 1: Harry Reid's uneral. Did he say anything? I didn't see 310 00:16:09,200 --> 00:16:11,320 Speaker 1: a single clip of it. Why has the administration not 311 00:16:11,400 --> 00:16:13,680 Speaker 1: come out with order after order after order? I mean 312 00:16:13,840 --> 00:16:16,600 Speaker 1: that meat packing thing took months in order to move 313 00:16:16,800 --> 00:16:20,880 Speaker 1: through the bureaucracy. That should be a line item of 314 00:16:20,920 --> 00:16:23,920 Speaker 1: a massive agenda in order to bring down prices in 315 00:16:23,960 --> 00:16:28,960 Speaker 1: the United States, And it was exactly so. That is 316 00:16:29,200 --> 00:16:32,960 Speaker 1: one thing that they have done. One strategic petroleum reserve. 317 00:16:33,000 --> 00:16:35,880 Speaker 1: He tapped it once. Did nothing else. There's no talk 318 00:16:35,920 --> 00:16:39,200 Speaker 1: about import and export rules around our oil. That's for 319 00:16:39,280 --> 00:16:42,120 Speaker 1: gas prices, on food, the same thing. I mean, the 320 00:16:42,160 --> 00:16:44,640 Speaker 1: Port of La continues to be backed up. It's not 321 00:16:44,800 --> 00:16:48,200 Speaker 1: as bad. Never mobilize the National Guard. They at the 322 00:16:48,280 --> 00:16:50,400 Speaker 1: end of the day. The person who was most effective 323 00:16:50,560 --> 00:16:53,320 Speaker 1: in clearing that was a private guy on Twitter who 324 00:16:53,360 --> 00:16:56,400 Speaker 1: tweeted about how some of the local regulations of the 325 00:16:56,400 --> 00:16:59,360 Speaker 1: ports were backing things up. And the mayor of Huntington 326 00:16:59,400 --> 00:17:02,800 Speaker 1: Beach gun in the President is nowhere. He's not there. 327 00:17:02,920 --> 00:17:05,240 Speaker 1: I mean, this is again gets down to the fact 328 00:17:05,240 --> 00:17:08,480 Speaker 1: that energy, vigor, and the bully pulpit in this case 329 00:17:08,760 --> 00:17:11,080 Speaker 1: is the one thing that could connect him to the 330 00:17:11,119 --> 00:17:13,760 Speaker 1: average American, which really was his strength in the campaign. 331 00:17:14,200 --> 00:17:15,800 Speaker 1: But I think he's just too old and he's not 332 00:17:15,880 --> 00:17:17,600 Speaker 1: up to that. And you know, you know what though, 333 00:17:17,800 --> 00:17:20,280 Speaker 1: I actually think so I was thinking the same thing, 334 00:17:20,560 --> 00:17:22,760 Speaker 1: like he just can't do it. He gave a very 335 00:17:22,800 --> 00:17:26,119 Speaker 1: forceful speech on January sixth, call Down. I mean it 336 00:17:26,240 --> 00:17:30,960 Speaker 1: was forcefull, he you know, denunciations all around, and I thought, oh, 337 00:17:31,119 --> 00:17:33,520 Speaker 1: it's not that he can't do this, doesn't care. He 338 00:17:33,600 --> 00:17:36,520 Speaker 1: just hasn't been worth doing this. So, like, you're willing 339 00:17:36,560 --> 00:17:39,919 Speaker 1: to put this energy behind, you know, making sure the Republicans, 340 00:17:39,920 --> 00:17:42,800 Speaker 1: at least rhetorically, behind making sure the Republicans don't steal 341 00:17:42,800 --> 00:17:44,480 Speaker 1: the next election, how about you put some of that 342 00:17:44,640 --> 00:17:47,119 Speaker 1: energy towards like actually trying to win to start with, 343 00:17:47,240 --> 00:17:49,800 Speaker 1: because as things stand right now, Republicans aren't gonna have 344 00:17:49,840 --> 00:17:52,000 Speaker 1: to steal the election. They're gonna be able to win 345 00:17:52,040 --> 00:17:55,040 Speaker 1: it fair and square. So maybe channel some of that 346 00:17:55,160 --> 00:17:57,199 Speaker 1: energy in the direction of making people feel like you 347 00:17:57,280 --> 00:18:00,000 Speaker 1: understand their concerns and you are doing something about it, 348 00:18:00,240 --> 00:18:02,240 Speaker 1: Which is why we pull that little part of the 349 00:18:02,280 --> 00:18:04,960 Speaker 1: speech where he talks about inflation. He says, you know 350 00:18:05,080 --> 00:18:07,200 Speaker 1: these guys, their answer is to make sure that you're 351 00:18:07,240 --> 00:18:09,240 Speaker 1: poor so you can't buy a car to start with. 352 00:18:09,280 --> 00:18:11,800 Speaker 1: And yeah, that will solve the price problem. But is 353 00:18:11,840 --> 00:18:14,320 Speaker 1: that really the direction we want to go in? Use 354 00:18:14,359 --> 00:18:19,120 Speaker 1: the forceful ability to call out corporate great, to put 355 00:18:19,160 --> 00:18:22,440 Speaker 1: some i mean buy name, put some of these corporations 356 00:18:22,520 --> 00:18:27,639 Speaker 1: on blast that are manipulating prices. Yes, focus on the 357 00:18:27,680 --> 00:18:30,280 Speaker 1: beef market and the meat packing industry, but you have 358 00:18:30,359 --> 00:18:33,560 Speaker 1: to go much, much further. And then you can say, look, 359 00:18:34,080 --> 00:18:37,080 Speaker 1: there are some encouraging signs here, but I get it. 360 00:18:37,520 --> 00:18:40,160 Speaker 1: Your wallet is squeezed. You are feeling this at the pump, 361 00:18:40,200 --> 00:18:42,360 Speaker 1: you are feeling this at the grocery store. And we 362 00:18:42,400 --> 00:18:45,440 Speaker 1: are going to take to task the people who are 363 00:18:45,480 --> 00:18:48,399 Speaker 1: putting you through this. Do that, and then add some 364 00:18:48,480 --> 00:18:51,040 Speaker 1: actual actions to back that up so people feel like 365 00:18:51,240 --> 00:18:53,640 Speaker 1: it is making a difference. They're not going to buy 366 00:18:53,680 --> 00:18:55,960 Speaker 1: this fantasy story that the economy is all well and 367 00:18:56,000 --> 00:18:57,840 Speaker 1: good and that their lives are actually great. They just 368 00:18:57,880 --> 00:19:00,000 Speaker 1: don't realize it. Yeah, no, I think you're exactly right, 369 00:19:00,080 --> 00:19:02,600 Speaker 1: all right. Moving on January sixth, the one thing apparently 370 00:19:02,840 --> 00:19:06,280 Speaker 1: Biden cares about. We tried to put together as many 371 00:19:06,280 --> 00:19:08,920 Speaker 1: of the cringe most cringey parts that we possibly could. 372 00:19:08,960 --> 00:19:10,960 Speaker 1: We have two blocks here, back to back. The first 373 00:19:11,040 --> 00:19:15,240 Speaker 1: part here about the Democrats. Nancy Pelosi and the Congressional Democrats, 374 00:19:15,240 --> 00:19:17,280 Speaker 1: for some reason, thought it would be a good idea 375 00:19:17,400 --> 00:19:21,960 Speaker 1: to invite Lynn Manuel Miranda of Hamilton to both give 376 00:19:22,000 --> 00:19:25,240 Speaker 1: a speech and compose a special song for the occasion. 377 00:19:25,560 --> 00:19:28,600 Speaker 1: It's so cringe we cannot play the entire thing, mostly 378 00:19:28,640 --> 00:19:31,520 Speaker 1: because I just simply can't stand to watch it. Let's 379 00:19:31,520 --> 00:19:34,600 Speaker 1: go ahead and give the people a taste. Call your 380 00:19:34,600 --> 00:19:37,560 Speaker 1: attention to a new year brings hope for the future, 381 00:19:38,080 --> 00:19:40,439 Speaker 1: new energy to face the tasks ahead of us, and 382 00:19:40,440 --> 00:19:43,520 Speaker 1: a renewed promise to strengthen the foundations of our democracy. 383 00:19:44,400 --> 00:19:47,639 Speaker 1: We're all stewards of the American experiment, working to pass 384 00:19:47,680 --> 00:19:50,439 Speaker 1: down to our children and our grandchildren a more perfect 385 00:19:50,480 --> 00:19:53,840 Speaker 1: union that treats all its citizens with fairness and equity. 386 00:19:54,880 --> 00:19:57,000 Speaker 1: We should never take our rights and liberties for granted, 387 00:19:57,280 --> 00:19:59,919 Speaker 1: and we must remain committed to finding a way forward together. 388 00:20:00,880 --> 00:20:02,800 Speaker 1: That's what I wrote about in the song Dear Theodosia 389 00:20:02,880 --> 00:20:06,119 Speaker 1: from Hamilton. I believe no challenge is worth abandoning our 390 00:20:06,160 --> 00:20:10,840 Speaker 1: efforts to unite as Americans. We'll keep working generation after 391 00:20:10,960 --> 00:20:27,280 Speaker 1: generation until we reached that Sunday did Theodojah to say 392 00:20:27,280 --> 00:20:32,400 Speaker 1: to you, you have mayas you have your mother's name 393 00:20:32,840 --> 00:20:35,879 Speaker 1: when you came. So I didn't think that could be 394 00:20:35,920 --> 00:20:40,560 Speaker 1: top crystal, but on a substantive action, it honestly got worse. 395 00:20:40,800 --> 00:20:44,439 Speaker 1: So on January sixth, there were two Republicans who were 396 00:20:44,480 --> 00:20:46,760 Speaker 1: on the House floor. One of them was an elected 397 00:20:46,800 --> 00:20:50,560 Speaker 1: representative at the time, Liz Cheney. She decided to call 398 00:20:50,680 --> 00:20:54,199 Speaker 1: her father, Dick Cheney, out of retirement to join her 399 00:20:54,440 --> 00:20:57,560 Speaker 1: on the House floor, nauseating he should only be there for, 400 00:20:57,720 --> 00:21:00,399 Speaker 1: you don't know, like a trial or something. And he 401 00:21:00,520 --> 00:21:04,880 Speaker 1: is standing there and is being greeted warmly by Democrat. 402 00:21:04,960 --> 00:21:07,560 Speaker 1: This is not an exaggeration. Let's go ahead and put 403 00:21:07,560 --> 00:21:09,800 Speaker 1: this up there and I'll narrate over for those who 404 00:21:09,840 --> 00:21:11,840 Speaker 1: are just listening. On the right side of the aisle. 405 00:21:11,880 --> 00:21:14,199 Speaker 1: You have Dick Cheney and Liz Cheney sitting there, and 406 00:21:14,240 --> 00:21:17,880 Speaker 1: you have Democrats literally lining up in order to go 407 00:21:18,000 --> 00:21:21,000 Speaker 1: and shake his hand and to thank him for coming 408 00:21:21,119 --> 00:21:24,280 Speaker 1: to the chamber. So here you have Nancy Pelosi, who 409 00:21:24,480 --> 00:21:27,720 Speaker 1: won her first speakership on the crimes of Cheney in 410 00:21:27,760 --> 00:21:31,560 Speaker 1: the Bush administration, holding hands there with Liz Cheney, now 411 00:21:31,640 --> 00:21:34,720 Speaker 1: shaking hands with Dick Cheney. You have all those people 412 00:21:34,760 --> 00:21:37,960 Speaker 1: behind them. I cannot think of anything more nauseating and 413 00:21:38,119 --> 00:21:42,040 Speaker 1: empty of our politics. There crystal in terms of them, 414 00:21:42,680 --> 00:21:46,280 Speaker 1: like warmly greeting Dick Cheney. I got so angry I 415 00:21:46,359 --> 00:21:50,200 Speaker 1: broke my Twitter hiatus, and I was like, ask yourself this, 416 00:21:51,000 --> 00:21:54,720 Speaker 1: who is more responsible if you really care about democracy, Like, 417 00:21:54,760 --> 00:21:57,040 Speaker 1: if you really care about the state of American democracy, 418 00:21:57,320 --> 00:22:01,120 Speaker 1: who is more responsible for destroying thing in our institutions, 419 00:22:01,400 --> 00:22:05,000 Speaker 1: in the media, in basic governance? Then is it Dick 420 00:22:05,080 --> 00:22:07,240 Speaker 1: Cheney or is it Donald Trump? You could say Trump, 421 00:22:07,480 --> 00:22:12,080 Speaker 1: but Trump came along after the crimes and the ineptitude. 422 00:22:12,080 --> 00:22:15,080 Speaker 1: And it's so difficult to even put into words how 423 00:22:15,119 --> 00:22:18,280 Speaker 1: destructive Chaney was to the United States. And it's put 424 00:22:18,320 --> 00:22:21,080 Speaker 1: aside because he's willing to say, I don't recognize the 425 00:22:21,119 --> 00:22:24,199 Speaker 1: country on January sixth. Maybe you created the country that 426 00:22:24,320 --> 00:22:27,640 Speaker 1: happened on January six No reckoning about thatsever how about 427 00:22:27,680 --> 00:22:31,159 Speaker 1: that Jacobin actually had a pretty good piece on this 428 00:22:31,280 --> 00:22:33,720 Speaker 1: that said, listen, no one should downplay the crimes of 429 00:22:33,800 --> 00:22:37,560 Speaker 1: Donald Trump, yet, compared to Dick Cheney's crimes against democracy, 430 00:22:37,680 --> 00:22:41,080 Speaker 1: Trump is an amateur. Cheney reduced nations to rubble shredded 431 00:22:41,080 --> 00:22:44,280 Speaker 1: the Bill of Rights in inactive programs of surveillance, abduction, detention, 432 00:22:44,440 --> 00:22:47,159 Speaker 1: and torture more in line with the state, terrorism, and 433 00:22:47,200 --> 00:22:51,800 Speaker 1: military dictatorships than the norms of liberal democracy. To venerate Cheney, 434 00:22:51,800 --> 00:22:55,200 Speaker 1: as Democrats in Congress said yesterday, is to show complete 435 00:22:55,480 --> 00:23:02,240 Speaker 1: contempt for democracy. And it I mean, I don't know 436 00:23:02,280 --> 00:23:06,560 Speaker 1: what to say. It's not surprising, it's not surprising, but 437 00:23:07,160 --> 00:23:09,760 Speaker 1: this guy should be If anyone in the country should 438 00:23:09,800 --> 00:23:12,960 Speaker 1: be in prison, it's this guy. I mean, honestly, honestly, 439 00:23:13,400 --> 00:23:15,879 Speaker 1: to pretend like he's some ally and a fight to 440 00:23:15,960 --> 00:23:22,960 Speaker 1: preserve our democracy is bananas. It's utterly, utterly disgraceful. And 441 00:23:23,200 --> 00:23:25,720 Speaker 1: it's obviously not a one off. I mean, the veneration 442 00:23:25,840 --> 00:23:28,879 Speaker 1: of Liz Cheney another perfect example. And you know she's 443 00:23:28,880 --> 00:23:31,760 Speaker 1: not complicit, she's not responsible for the sins of her father, 444 00:23:32,119 --> 00:23:35,640 Speaker 1: but she has the exact sam ideology, so she's following 445 00:23:35,680 --> 00:23:38,680 Speaker 1: in his footsteps. With the exact same sort of policy 446 00:23:38,760 --> 00:23:42,080 Speaker 1: and worldview that he ultimately had. You see the way 447 00:23:42,119 --> 00:23:44,360 Speaker 1: that you know, the Lincoln Project ghouls who were all 448 00:23:44,359 --> 00:23:48,400 Speaker 1: complicit in the George W. Bush era of criminality, all 449 00:23:48,440 --> 00:23:51,800 Speaker 1: of them venerated people through millions of dollars at these 450 00:23:51,840 --> 00:23:55,000 Speaker 1: people to be totally ineffectual, by the way, and trying 451 00:23:55,000 --> 00:23:57,800 Speaker 1: to beat Donald Trump. Their ads were in some instances 452 00:23:57,840 --> 00:24:00,399 Speaker 1: more effective at persuading people to vote for Donald Trump 453 00:24:00,600 --> 00:24:04,000 Speaker 1: than to vote against him. Nicole Wallace is now top 454 00:24:04,040 --> 00:24:07,440 Speaker 1: star at MSNBC. I mean, she really is their rise 455 00:24:07,480 --> 00:24:09,919 Speaker 1: and star as possible, she could replace Rachel Maddow in 456 00:24:09,960 --> 00:24:13,639 Speaker 1: the primetime out all of these you know, security state 457 00:24:13,880 --> 00:24:17,560 Speaker 1: ghouls who were again involved and complicit and lining to 458 00:24:17,600 --> 00:24:21,560 Speaker 1: the American people during those Bush years. Now they're superstars 459 00:24:21,600 --> 00:24:25,240 Speaker 1: with cable news gigs on MSNBC's CNN haralded as you know, 460 00:24:25,400 --> 00:24:29,959 Speaker 1: wise statesman, it's really disgusting who they have made common 461 00:24:30,080 --> 00:24:33,000 Speaker 1: cause with. And you don't have to do that in 462 00:24:33,200 --> 00:24:36,840 Speaker 1: order to have a very effective critique of Donald Trump. 463 00:24:36,880 --> 00:24:39,760 Speaker 1: In fact, your willingness to partner with some of the 464 00:24:39,800 --> 00:24:45,240 Speaker 1: great criminals against democracy underminds underminds the case that you 465 00:24:45,320 --> 00:24:48,280 Speaker 1: are making here against Donald Trump because what you think 466 00:24:48,320 --> 00:24:52,720 Speaker 1: people believe Dick Cheney has credibility on the sanctity of democracy. 467 00:24:52,800 --> 00:24:56,679 Speaker 1: It's ridiculous. I do want to say on the Hamilton thing, Okay, 468 00:24:57,560 --> 00:25:01,359 Speaker 1: they know their audience, they know their that's true. I mean, listen, 469 00:25:01,720 --> 00:25:03,920 Speaker 1: who was going to like really tune in and care 470 00:25:03,960 --> 00:25:06,680 Speaker 1: about these festivities and whatever. It's the sort of people 471 00:25:06,680 --> 00:25:10,280 Speaker 1: who are like totally enamored with Hamilton and listening to 472 00:25:10,320 --> 00:25:13,760 Speaker 1: the soundtrack still un ironically, etcetera, etcetera. You're right, there's 473 00:25:13,800 --> 00:25:16,080 Speaker 1: plan of their audience saga. But the problem is that 474 00:25:16,160 --> 00:25:19,640 Speaker 1: audience is not big. And so remember this January seven 475 00:25:19,760 --> 00:25:23,560 Speaker 1: CNN bragged about how January sixth coverage beat every single 476 00:25:23,560 --> 00:25:26,080 Speaker 1: other network at the time, and you emphasized this on 477 00:25:26,200 --> 00:25:28,400 Speaker 1: January sixth, which is that at the end of the day, 478 00:25:28,480 --> 00:25:30,120 Speaker 1: it was the best thing that ever happened to them 479 00:25:30,440 --> 00:25:33,840 Speaker 1: from a media ratings perspective, but on the anniversary not 480 00:25:33,960 --> 00:25:36,920 Speaker 1: so much. Put it up there. So Fox News actually 481 00:25:37,040 --> 00:25:41,680 Speaker 1: beat CNN and MSNBC on the January sixth anniversary by 482 00:25:41,840 --> 00:25:46,040 Speaker 1: a lot. And here's the reason why Fox News actually 483 00:25:46,119 --> 00:25:48,520 Speaker 1: ended up cutting away from a lot of its January 484 00:25:48,560 --> 00:25:50,959 Speaker 1: sixth coverage. I'm not saying they're not doing that intentionally, 485 00:25:51,200 --> 00:25:54,200 Speaker 1: but at the time, and they were actually criticized by 486 00:25:54,240 --> 00:26:00,840 Speaker 1: this by CNN. What were they covering Crystal cdc Amicron, lockdowns, schools, 487 00:26:01,000 --> 00:26:04,280 Speaker 1: stuff that matters to people's lives. That's part of the 488 00:26:04,320 --> 00:26:08,160 Speaker 1: reason they try to resurrect the spirit of January sixth. 489 00:26:08,359 --> 00:26:10,560 Speaker 1: Every day is January six because it was the best 490 00:26:10,600 --> 00:26:12,920 Speaker 1: thing that ever happened to them. They have a shrinking 491 00:26:13,040 --> 00:26:17,040 Speaker 1: audience of these upper middle class liberals who love Hamilton unironically, 492 00:26:17,320 --> 00:26:20,480 Speaker 1: and it's not working. The country is tuning out because 493 00:26:20,720 --> 00:26:24,520 Speaker 1: bread is too pricey, so is gas, and people are like, hey, 494 00:26:24,720 --> 00:26:27,320 Speaker 1: somebody please fix what's going on for me. And they've 495 00:26:27,359 --> 00:26:31,360 Speaker 1: got freaking Lynn Manual Miranda in the capitol. Look, I'm 496 00:26:31,359 --> 00:26:33,959 Speaker 1: sure he's a nice guy, but it's like, what are 497 00:26:34,000 --> 00:26:36,760 Speaker 1: the why is this the priority on what you spend 498 00:26:36,760 --> 00:26:38,840 Speaker 1: so much of your time, energy and media attention on. 499 00:26:39,000 --> 00:26:41,919 Speaker 1: Here's the other thing too, Like, let's say that you 500 00:26:41,960 --> 00:26:44,440 Speaker 1: are a person and I do think that there are 501 00:26:44,520 --> 00:26:47,800 Speaker 1: democracy reforms that are really important to fight for. I mean, 502 00:26:47,800 --> 00:26:49,359 Speaker 1: no one can look at the system and say like 503 00:26:49,400 --> 00:26:52,919 Speaker 1: it's operating well and effectively but they're not spending their 504 00:26:53,000 --> 00:26:57,400 Speaker 1: energy actually fighting to do anything. It's all just it's 505 00:26:57,400 --> 00:26:59,280 Speaker 1: the equivalent of the kneeling in the Kent take cloth. 506 00:26:59,320 --> 00:27:02,080 Speaker 1: I mean, it's just all of this symbolic. Let me 507 00:27:02,240 --> 00:27:05,479 Speaker 1: we can show with they did a candlelight vigil that night. 508 00:27:05,560 --> 00:27:06,919 Speaker 1: Let's go ahead and play a little bit of that. 509 00:27:14,960 --> 00:27:18,560 Speaker 1: So this is what they're spending their energy, and you know, 510 00:27:18,600 --> 00:27:21,520 Speaker 1: their force and their political capital on is these like 511 00:27:21,720 --> 00:27:26,600 Speaker 1: displays of you know, upset over what happened on January sixth, 512 00:27:26,640 --> 00:27:28,880 Speaker 1: And look, there's plenty of good reason to be upset 513 00:27:28,960 --> 00:27:32,480 Speaker 1: about what happened on January six You are legislators. What 514 00:27:32,680 --> 00:27:35,240 Speaker 1: are you going to do and how are you going 515 00:27:35,280 --> 00:27:38,639 Speaker 1: to do it? Focus on that and then maybe people 516 00:27:38,640 --> 00:27:41,400 Speaker 1: will tune in and then maybe people will care rather 517 00:27:41,440 --> 00:27:44,040 Speaker 1: than you're just you know, displays of how sad and 518 00:27:44,200 --> 00:27:47,960 Speaker 1: starre you are. So that's why this ultimately frustrates me. 519 00:27:48,240 --> 00:27:51,600 Speaker 1: And look, you're one hundred percent correct that their highest 520 00:27:51,640 --> 00:27:54,760 Speaker 1: ratings were on January six it's been all down. Fox 521 00:27:54,800 --> 00:27:57,760 Speaker 1: News has also fallen off of everybody has because they 522 00:27:58,000 --> 00:28:02,760 Speaker 1: just are so stuck in their little partisan, shrinking, narrow, 523 00:28:03,040 --> 00:28:06,960 Speaker 1: partisan brain worms world where reality never penetrates you. Over 524 00:28:07,000 --> 00:28:10,760 Speaker 1: on Fox News, they're still claiming that the unemployment program 525 00:28:10,880 --> 00:28:13,920 Speaker 1: is why people aren't working with on Larry Cutlers show 526 00:28:14,040 --> 00:28:17,520 Speaker 1: on Larry Cutlash. So that's over. What's your excuse now? 527 00:28:17,800 --> 00:28:20,879 Speaker 1: I mean, they're just so out of touch with the 528 00:28:20,920 --> 00:28:24,760 Speaker 1: reality of grappling with people's daily lives, just stuck on 529 00:28:24,800 --> 00:28:30,240 Speaker 1: the stupid culture war nonsense and not doing anything to 530 00:28:30,359 --> 00:28:33,880 Speaker 1: actually fight for changing the country in ways that would 531 00:28:33,880 --> 00:28:36,919 Speaker 1: be beneficial to the broader American public. So it's no 532 00:28:36,960 --> 00:28:42,560 Speaker 1: wonder that people have tuned out, absolutely all right, But 533 00:28:42,720 --> 00:28:46,440 Speaker 1: the prize for the greatest personal debasement on January six 534 00:28:46,720 --> 00:28:49,080 Speaker 1: has to go to Senator Tedgers. You guys may have 535 00:28:49,080 --> 00:28:52,400 Speaker 1: seen this already, but there has been a sort of 536 00:28:53,360 --> 00:28:56,120 Speaker 1: shift over the past year. On the day of January six, 537 00:28:56,200 --> 00:28:58,880 Speaker 1: there was a lot of willingness among Republicans to say 538 00:28:58,960 --> 00:29:01,520 Speaker 1: this was terrible, this was awful, to use sort of 539 00:29:01,560 --> 00:29:06,200 Speaker 1: strong language around it, and Ted Cruz in particular repeatedly 540 00:29:06,320 --> 00:29:09,520 Speaker 1: used the word terrorists to describe those who were involved 541 00:29:09,520 --> 00:29:11,600 Speaker 1: in January six. He says, just the ones who were 542 00:29:11,600 --> 00:29:15,680 Speaker 1: attacking police officers. That was not always apparent from the 543 00:29:15,680 --> 00:29:19,120 Speaker 1: comments that he was making so he went on Tucker 544 00:29:19,120 --> 00:29:24,200 Speaker 1: Carlson's show on January sixth and effectively begged for forgiveness 545 00:29:24,640 --> 00:29:28,080 Speaker 1: for using this word. Let's take a look at that confrontation. 546 00:29:28,600 --> 00:29:29,920 Speaker 1: I mean, there are a lot of dumb people in 547 00:29:29,960 --> 00:29:32,120 Speaker 1: the Congress. You're not one of them. I think you're 548 00:29:32,160 --> 00:29:36,600 Speaker 1: smarter than I am, and you never use words carelessly. 549 00:29:37,760 --> 00:29:41,080 Speaker 1: And yet you called this a terror attack when by 550 00:29:41,080 --> 00:29:43,480 Speaker 1: no definition was it a terror attack. That's a lie. 551 00:29:43,960 --> 00:29:46,360 Speaker 1: You told that lie on purpose, and I'm wondering why 552 00:29:46,400 --> 00:29:49,600 Speaker 1: you did. Well. Tucker, thank you for having me on 553 00:29:49,640 --> 00:29:52,200 Speaker 1: when you aired your episode last night. I sent you 554 00:29:52,240 --> 00:29:54,720 Speaker 1: a tech shortly thereafter and said, listen, I'd like to 555 00:29:54,760 --> 00:29:58,560 Speaker 1: go on because the way I phrased things yesterday it 556 00:29:58,680 --> 00:30:01,280 Speaker 1: was sloppy and it was frankly dumb. And I don't 557 00:30:01,320 --> 00:30:03,560 Speaker 1: buy that all who I don't buy that for Look, 558 00:30:03,600 --> 00:30:05,280 Speaker 1: I've known you a long time since before you went 559 00:30:05,320 --> 00:30:08,440 Speaker 1: to the Senate. You're a Supreme Court contender. You take 560 00:30:08,480 --> 00:30:10,520 Speaker 1: words as seriously as any man who's ever served in 561 00:30:10,520 --> 00:30:13,680 Speaker 1: the Senate, and every words you repeated that phrase. I 562 00:30:13,760 --> 00:30:16,600 Speaker 1: do not believe that you use that accidentally. I just don't. 563 00:30:17,200 --> 00:30:20,160 Speaker 1: It's so Tucker, as a result of my sloppy phrasing, 564 00:30:20,200 --> 00:30:22,760 Speaker 1: it's caused a lot of people to misunderstand what I meant. 565 00:30:22,840 --> 00:30:25,560 Speaker 1: Let me tell you what I meant to say. What 566 00:30:25,640 --> 00:30:29,000 Speaker 1: I was referring to are the limited number of people 567 00:30:29,080 --> 00:30:32,720 Speaker 1: who engaged in violent attacks against police officers. Now, I 568 00:30:32,760 --> 00:30:35,160 Speaker 1: think you and I both agree that if you assault 569 00:30:35,200 --> 00:30:38,280 Speaker 1: a police officer, you should go to jail. That's who 570 00:30:38,280 --> 00:30:40,240 Speaker 1: I was talking about. And the reason the phrasing was 571 00:30:40,280 --> 00:30:43,640 Speaker 1: sloppy is I have talked dozens, if not hundreds of 572 00:30:43,640 --> 00:30:47,160 Speaker 1: times I've drawn a distinction. I wasn't saying that the 573 00:30:47,400 --> 00:30:52,320 Speaker 1: thousands of peaceful protesters supporting Donald Trump are somehow terrorists. 574 00:30:52,360 --> 00:30:56,040 Speaker 1: I wasn't saying the millions of patriots across the country 575 00:30:56,120 --> 00:30:59,040 Speaker 1: supporting President Trump are terrorists. And that's what a lot 576 00:30:59,040 --> 00:31:01,960 Speaker 1: of people have misunder that. Wait recent even you wait 577 00:31:01,960 --> 00:31:04,080 Speaker 1: a butit hold on. What you just said doesn't make sense. 578 00:31:04,200 --> 00:31:06,720 Speaker 1: So if somebody assaults a cop, he should be charged 579 00:31:06,760 --> 00:31:08,640 Speaker 1: and go to jail. I couldn't agree more. We've said 580 00:31:08,680 --> 00:31:11,760 Speaker 1: that for years, but that person's still not a terrorist. 581 00:31:12,200 --> 00:31:15,880 Speaker 1: How many people have been charged with terrorism? On January six? Like, 582 00:31:15,920 --> 00:31:18,440 Speaker 1: why do you know that word? You're playing into the 583 00:31:18,560 --> 00:31:23,360 Speaker 1: other sides. Characterization that is Joe Kent just explained, allows 584 00:31:23,440 --> 00:31:27,280 Speaker 1: them to define an entire population as foreign combatants. And 585 00:31:27,320 --> 00:31:29,160 Speaker 1: you know that, So why'd you do it? So, Tucker, 586 00:31:29,240 --> 00:31:31,840 Speaker 1: let me answer you directly. The reason I use that word. 587 00:31:31,880 --> 00:31:35,320 Speaker 1: For a decade, I have referred to people who violently 588 00:31:35,360 --> 00:31:38,239 Speaker 1: assault police officers as terrorists. I've done so over and 589 00:31:38,320 --> 00:31:40,160 Speaker 1: over and over again. If you look at all the 590 00:31:40,200 --> 00:31:43,240 Speaker 1: assaults we've seen across the country, I've called that terrorism 591 00:31:43,240 --> 00:31:45,920 Speaker 1: over and over again. That being said, Tucker, I agree 592 00:31:45,920 --> 00:31:48,120 Speaker 1: with you. It was a mistake to say that yesterday. 593 00:31:48,160 --> 00:31:50,320 Speaker 1: And the reason is what you just said, which is 594 00:31:50,360 --> 00:31:53,280 Speaker 1: we've now had a year of Democrats in the media 595 00:31:53,400 --> 00:31:56,560 Speaker 1: twisting words and trying to say that all of us 596 00:31:56,600 --> 00:31:59,440 Speaker 1: are terrorists, trying to say you're a terrorist, I'm a terrorist, 597 00:31:59,680 --> 00:32:03,120 Speaker 1: And look, I don't like people who assault cops, and 598 00:32:03,200 --> 00:32:07,640 Speaker 1: I stand up and defend cops. And the reason I 599 00:32:07,760 --> 00:32:10,200 Speaker 1: use that word is that's the word I've always used 600 00:32:10,200 --> 00:32:13,720 Speaker 1: for people that violently attack cops. But in this context, 601 00:32:13,800 --> 00:32:17,040 Speaker 1: I get why people were angry because we've had a 602 00:32:17,120 --> 00:32:21,520 Speaker 1: year of the corrupt corporate media and Democrats claiming anyone 603 00:32:21,640 --> 00:32:25,280 Speaker 1: who objected to the election fraud, and by the way, 604 00:32:25,320 --> 00:32:28,920 Speaker 1: remember what was happening. Can I ask all that you 605 00:32:29,000 --> 00:32:31,080 Speaker 1: work in this, I just, I guess I just don't 606 00:32:31,080 --> 00:32:34,120 Speaker 1: believe you. And I mean that with respect because I 607 00:32:34,200 --> 00:32:38,320 Speaker 1: have such respect for your acuity and your precision, and 608 00:32:38,360 --> 00:32:40,600 Speaker 1: I've seen it on display. I've covered you as a reporter. 609 00:32:40,720 --> 00:32:44,320 Speaker 1: I know how you speak, and you have sat there 610 00:32:44,400 --> 00:32:48,360 Speaker 1: for a year and watched people use language to distort 611 00:32:48,440 --> 00:32:56,800 Speaker 1: the events of that day intentionally insurrection. Of course, saying 612 00:32:56,840 --> 00:32:59,480 Speaker 1: it's an insurrection is a political term. It's a lie. 613 00:32:59,640 --> 00:33:03,480 Speaker 1: I've repeatedly denounced it. And when it comes to look, 614 00:33:03,560 --> 00:33:06,280 Speaker 1: I was focusing on what I normally say that what 615 00:33:06,320 --> 00:33:08,480 Speaker 1: you aired was a little fifteen second snippet. What I 616 00:33:08,520 --> 00:33:12,080 Speaker 1: normally say is violence is wrong, peaceful protest is right. 617 00:33:12,120 --> 00:33:14,880 Speaker 1: If you engage in violence, you should be prosecuted. If 618 00:33:14,920 --> 00:33:17,200 Speaker 1: you're speaking, you have a right to speak. I say 619 00:33:17,240 --> 00:33:20,640 Speaker 1: that all the time, and I agree, all right, that 620 00:33:20,720 --> 00:33:22,760 Speaker 1: is actually hard to watch. But there's there's a lot 621 00:33:22,840 --> 00:33:25,320 Speaker 1: to say about this. That's a very important clip. Yeah 622 00:33:25,440 --> 00:33:28,280 Speaker 1: it is. So the first thing to say is that 623 00:33:28,520 --> 00:33:31,320 Speaker 1: both of these dudes are full of it and slimy 624 00:33:31,440 --> 00:33:36,320 Speaker 1: on discount because I actually tend to decide more with 625 00:33:36,440 --> 00:33:38,640 Speaker 1: Tucker in terms of we shouldn't be throwing the word 626 00:33:38,760 --> 00:33:43,360 Speaker 1: terrorism around. It is used to justify an expansion of 627 00:33:43,400 --> 00:33:46,280 Speaker 1: the security state. We saw that with the Black Lives 628 00:33:46,280 --> 00:33:49,320 Speaker 1: Matter protests, George Floyd Floyd protests, and we have seen 629 00:33:49,360 --> 00:33:53,920 Speaker 1: it with January sixth. However, Tucker very clear and very 630 00:33:53,920 --> 00:33:58,240 Speaker 1: forceful on not calling these protesters terrorists, but he very 631 00:33:58,240 --> 00:34:02,760 Speaker 1: casually called Black Lives Matter protesters terrorists previously. So that's 632 00:34:02,920 --> 00:34:06,840 Speaker 1: one thing to put out there with Ted Cruz. He 633 00:34:06,920 --> 00:34:09,399 Speaker 1: has it's not like he just used this term once. 634 00:34:09,440 --> 00:34:12,279 Speaker 1: He tries to play play it like yeah, he tries 635 00:34:12,320 --> 00:34:14,080 Speaker 1: to play it like, oh, I just I was sloppy 636 00:34:14,080 --> 00:34:17,279 Speaker 1: in my wording, and Tucker rightly is like, give me 637 00:34:17,320 --> 00:34:20,560 Speaker 1: a break. You are very precise with your words. You're 638 00:34:20,560 --> 00:34:23,120 Speaker 1: a very intelligent person, and you did not use this casually. 639 00:34:23,120 --> 00:34:25,960 Speaker 1: And actually we have CNN tracked this. He has said 640 00:34:25,960 --> 00:34:30,200 Speaker 1: this seventeen different times. Ted Cruz publicly described the Capital 641 00:34:30,280 --> 00:34:32,880 Speaker 1: riot as a terrorist attack at least seventeen times, spending 642 00:34:32,880 --> 00:34:35,080 Speaker 1: at least five months before the time this week, he 643 00:34:35,120 --> 00:34:37,320 Speaker 1: got attacked for it by Tucker Carlson, and so is 644 00:34:37,360 --> 00:34:40,040 Speaker 1: now claiming that it was just a sloppy slip up. 645 00:34:40,280 --> 00:34:43,680 Speaker 1: This was very intentional language from Ted Cruz, and I 646 00:34:43,719 --> 00:34:46,480 Speaker 1: would have a lot more respect for him if he 647 00:34:46,760 --> 00:34:49,600 Speaker 1: explained it and justified it, even though in some ways 648 00:34:49,600 --> 00:34:52,560 Speaker 1: I disagree with again the casual using of the term 649 00:34:52,680 --> 00:34:55,400 Speaker 1: terrorists to describe, you know, people who even people who 650 00:34:55,480 --> 00:34:57,480 Speaker 1: were violent in the capital attack and even people who 651 00:34:57,520 --> 00:35:00,839 Speaker 1: were violent in the Black Lives Matter protests. Neither one 652 00:35:00,920 --> 00:35:04,400 Speaker 1: of them is being consistent and straightforward in this clip here, ultimately, 653 00:35:04,440 --> 00:35:05,799 Speaker 1: which is why it's kind of a mess. I think 654 00:35:05,800 --> 00:35:08,360 Speaker 1: you're right, and actually personally causes self assessment because I 655 00:35:08,400 --> 00:35:10,360 Speaker 1: was like, hey, you know what, you know you shouldn't 656 00:35:10,440 --> 00:35:13,600 Speaker 1: use the word terrorists whenever you throw it around, specifically 657 00:35:13,640 --> 00:35:16,640 Speaker 1: because you can see how it's used by security state people, 658 00:35:16,920 --> 00:35:19,920 Speaker 1: and so yeah, even when it's a group which you 659 00:35:19,960 --> 00:35:22,440 Speaker 1: may not even agree with, you should be very careful 660 00:35:22,480 --> 00:35:25,200 Speaker 1: about checking your rhetoric. I'm probably being very guilty of 661 00:35:25,320 --> 00:35:27,560 Speaker 1: violating that, and I regret it. But that's the thing 662 00:35:27,600 --> 00:35:30,640 Speaker 1: too about Ted Cruz is that he was very clearly 663 00:35:30,719 --> 00:35:33,920 Speaker 1: trying to triangulate here by saying, look, I'm one of 664 00:35:33,920 --> 00:35:36,440 Speaker 1: those Republicans. He's willing to call it out just like 665 00:35:36,480 --> 00:35:39,560 Speaker 1: I did BLM. Tom Cotton was another one of those folks. 666 00:35:39,600 --> 00:35:42,560 Speaker 1: I think he even used the term insurrection the day afterwards. 667 00:35:42,680 --> 00:35:45,359 Speaker 1: I'm not exactly sure, but he basically tried to meet 668 00:35:45,400 --> 00:35:47,880 Speaker 1: it with the same way that he've met with BLM. 669 00:35:48,200 --> 00:35:51,480 Speaker 1: But it is just not acceptable for a lot of 670 00:35:51,480 --> 00:35:55,359 Speaker 1: people within the Republican base now actually probably agree more 671 00:35:55,400 --> 00:35:57,560 Speaker 1: with that type of framing just because of the policy 672 00:35:57,640 --> 00:36:01,160 Speaker 1: ends Attucker is obviously objecting to. But the problem here, 673 00:36:01,200 --> 00:36:03,480 Speaker 1: and this is why I don't get Why go on 674 00:36:03,560 --> 00:36:06,680 Speaker 1: in the first place and supplicate yourself this way? I 675 00:36:06,760 --> 00:36:08,960 Speaker 1: don't get it. You know, if it was part of 676 00:36:09,000 --> 00:36:12,200 Speaker 1: a political strategy to try and win back white suburbanites, 677 00:36:12,360 --> 00:36:14,960 Speaker 1: the Glen Youngkin style voter while still being able to 678 00:36:15,000 --> 00:36:18,880 Speaker 1: maintain MAGA, Honestly, one Tucker attack you would have been fine. 679 00:36:18,920 --> 00:36:20,680 Speaker 1: It would have been a one day story. But that 680 00:36:20,719 --> 00:36:23,440 Speaker 1: clip went on for six and a half, almost seven minutes, 681 00:36:23,520 --> 00:36:28,080 Speaker 1: which in cable is eternity for that to happen, and 682 00:36:28,120 --> 00:36:32,480 Speaker 1: he came off looking insincere. Now he's insincere to the voters. 683 00:36:32,480 --> 00:36:35,520 Speaker 1: He was trying to win over those suburban types and 684 00:36:35,800 --> 00:36:38,120 Speaker 1: the MAGA folks still look at him as lion, Ted, 685 00:36:38,480 --> 00:36:41,399 Speaker 1: So you actually didn't come out more powerful at all. 686 00:36:41,560 --> 00:36:45,920 Speaker 1: I mean, ultimately, we all know that he used it intentionally. 687 00:36:46,239 --> 00:36:47,759 Speaker 1: I would have respected him more if he went on 688 00:36:47,800 --> 00:36:50,600 Speaker 1: and said, look, this is what I say. I get 689 00:36:50,600 --> 00:36:52,800 Speaker 1: why the left is doing this, and I don't agree 690 00:36:52,800 --> 00:36:55,880 Speaker 1: with it, and that's it. And if you disagree with me, Tucker, 691 00:36:56,080 --> 00:36:58,600 Speaker 1: that's fine. I'm the senator from the state of Texas. 692 00:36:58,760 --> 00:37:01,480 Speaker 1: And ultimately I answered them boom, I just gave you 693 00:37:02,280 --> 00:37:06,160 Speaker 1: and I look, I think I tend to air more 694 00:37:06,239 --> 00:37:09,440 Speaker 1: on the side of Look, we should be very careful 695 00:37:09,440 --> 00:37:11,960 Speaker 1: with these terms, and they are weaponized. However, do I 696 00:37:11,960 --> 00:37:14,279 Speaker 1: think there's a case you could make here, especially if 697 00:37:14,280 --> 00:37:17,279 Speaker 1: you apply it consistently and make the argument. And do 698 00:37:17,320 --> 00:37:19,600 Speaker 1: I think Ted Cruz, who is a you know, very 699 00:37:19,719 --> 00:37:23,000 Speaker 1: intelligent person who does a lot of stupid things, do 700 00:37:23,080 --> 00:37:25,160 Speaker 1: I think that he could, being the lawyer that he is, 701 00:37:25,239 --> 00:37:27,160 Speaker 1: make that case in a way that was fairly Oh yeah, 702 00:37:27,200 --> 00:37:30,960 Speaker 1: I think he's capable of that. And and he had 703 00:37:31,040 --> 00:37:35,399 Speaker 1: been actually consistent in calling both groups, regardless of their 704 00:37:35,640 --> 00:37:38,759 Speaker 1: political ends and whether they serve your partisan interest or 705 00:37:38,760 --> 00:37:41,560 Speaker 1: not calling them both terras. So yeah, I would have 706 00:37:41,640 --> 00:37:44,319 Speaker 1: respected it a lot more, even as I continue to 707 00:37:44,360 --> 00:37:47,759 Speaker 1: disagree with him, if you actually came on and made 708 00:37:47,800 --> 00:37:51,360 Speaker 1: the case. But I mean, this is just embarrassing, like 709 00:37:51,400 --> 00:37:53,760 Speaker 1: to borrow a term from the right. He just completely 710 00:37:53,760 --> 00:37:56,480 Speaker 1: cucked himself. I mean, that's what it really is. It's true, 711 00:37:56,840 --> 00:38:00,359 Speaker 1: it's a lot like six minute long cooking and it's 712 00:38:00,520 --> 00:38:04,120 Speaker 1: completely embarrassing to watch. Again, Tucker is a total hypocrite 713 00:38:04,120 --> 00:38:06,640 Speaker 1: on this. He also could have done his research and 714 00:38:06,840 --> 00:38:09,160 Speaker 1: you know, brought up the fact that hey, when you 715 00:38:09,280 --> 00:38:11,440 Speaker 1: when it was the other side, you did call them terrorists, 716 00:38:11,440 --> 00:38:13,440 Speaker 1: and let's have a conversation about why you see that 717 00:38:13,480 --> 00:38:15,680 Speaker 1: in a different way. I'm the one with the consistent 718 00:38:15,680 --> 00:38:18,640 Speaker 1: standard here. But instead he just sort of like debases 719 00:38:18,719 --> 00:38:21,399 Speaker 1: himself and begs for forgiveness, yeah, and aliating. Yeah, that's 720 00:38:21,440 --> 00:38:23,120 Speaker 1: the thing too. I don't think it's going to work. 721 00:38:23,280 --> 00:38:24,520 Speaker 1: I mean, you know, at the end of the day, 722 00:38:24,560 --> 00:38:26,839 Speaker 1: did you really win back the MACA base. I don't 723 00:38:26,880 --> 00:38:28,960 Speaker 1: think so. I think they would have respected you more 724 00:38:29,280 --> 00:38:30,920 Speaker 1: if you stood up and said, look, this is my 725 00:38:31,040 --> 00:38:32,560 Speaker 1: view at the end of the day. You know, I 726 00:38:32,640 --> 00:38:35,439 Speaker 1: stand with President Trump, and everybody knows that you could 727 00:38:35,440 --> 00:38:37,239 Speaker 1: have just done that I've seen Lindsay Graham do it. 728 00:38:37,280 --> 00:38:38,920 Speaker 1: I've seen Jim Jordan do it. A lot of these 729 00:38:38,920 --> 00:38:41,920 Speaker 1: guys who disagree with Trump necessarily on a policy, but 730 00:38:42,000 --> 00:38:44,480 Speaker 1: you know still like I'm a defender of the president. 731 00:38:44,560 --> 00:38:47,359 Speaker 1: It was a totally unnecessary move. It made you look 732 00:38:47,520 --> 00:38:51,640 Speaker 1: worse and actually it hurt the ultimate goal, which is 733 00:38:51,640 --> 00:38:54,040 Speaker 1: if you do want to run for president again. Now 734 00:38:54,160 --> 00:38:57,520 Speaker 1: everybody thinks you're insincere. You know, you did supplicate yourself 735 00:38:57,520 --> 00:39:00,560 Speaker 1: on national television and just you know, so admitted to 736 00:39:01,000 --> 00:39:04,160 Speaker 1: a public flogging and all that. At the same time, 737 00:39:04,360 --> 00:39:07,120 Speaker 1: now you also are a hypocrite in terms of what 738 00:39:07,160 --> 00:39:10,160 Speaker 1: you're doing. So there's a total loss across the board. 739 00:39:10,320 --> 00:39:13,520 Speaker 1: It's honestly sad. It was pathetic. It was indeed. Okay, 740 00:39:14,000 --> 00:39:16,360 Speaker 1: Supreme Court, I believe that was mentioned in the last segment, 741 00:39:16,400 --> 00:39:18,319 Speaker 1: so we can go ahead and use it here for 742 00:39:18,400 --> 00:39:20,959 Speaker 1: our transition. A lot going on at the Supreme Court. 743 00:39:21,040 --> 00:39:24,440 Speaker 1: Top line, what is happening is that the vaccine or 744 00:39:24,480 --> 00:39:29,360 Speaker 1: test mandate looks extremely in danger after oral arguments before 745 00:39:29,400 --> 00:39:33,320 Speaker 1: the Supreme Court. But we'll start with a very interesting moment, 746 00:39:34,080 --> 00:39:37,719 Speaker 1: Justice Sonya Sodomayor making a claim that there are hundreds 747 00:39:37,760 --> 00:39:41,160 Speaker 1: of thousands of kids on ventilators. We have audio, not 748 00:39:41,280 --> 00:39:43,560 Speaker 1: video because the Supreme Court doesn't allow that. Let's take 749 00:39:43,560 --> 00:39:46,200 Speaker 1: a listen country today. Then we had a year ago 750 00:39:46,400 --> 00:39:50,399 Speaker 1: in January. We have hospitals that are almost at full 751 00:39:50,440 --> 00:39:55,239 Speaker 1: capacity with people is severely ill on ventilators. We have 752 00:39:55,400 --> 00:39:59,200 Speaker 1: over one hundred thousand children which we've never had before 753 00:39:59,600 --> 00:40:06,080 Speaker 1: inside in serious condition and many on ventilators. So saying 754 00:40:06,080 --> 00:40:14,880 Speaker 1: it's a different variant just underscorees the fact that without okay, 755 00:40:15,000 --> 00:40:19,640 Speaker 1: that was so egregious. Even the Washington Post and others, PolitiFact, 756 00:40:19,840 --> 00:40:23,239 Speaker 1: some of the most leaning fact checkers out there, had 757 00:40:23,239 --> 00:40:25,400 Speaker 1: to come out and be like, whoa hold on a second, 758 00:40:25,480 --> 00:40:28,040 Speaker 1: there are not over one hundred thousand children who are 759 00:40:28,080 --> 00:40:30,000 Speaker 1: in the hospital. Let's go ahead and put that up 760 00:40:30,080 --> 00:40:32,560 Speaker 1: on the screen. Soda my Oor's false claim. They gave 761 00:40:32,600 --> 00:40:35,880 Speaker 1: her four pinocchios for the over one hundred k number 762 00:40:36,120 --> 00:40:39,840 Speaker 1: for serious condition. Also, there was another rumor floating around 763 00:40:39,880 --> 00:40:42,319 Speaker 1: that Justice Gorsich had said that hundreds of thousands of 764 00:40:42,360 --> 00:40:46,200 Speaker 1: people died of the flu. He actually said hundreds comma 765 00:40:46,320 --> 00:40:49,040 Speaker 1: thousands of people every year. Just to clear that up 766 00:40:49,040 --> 00:40:52,280 Speaker 1: for anybody who's been following this online. Look, the actual 767 00:40:52,360 --> 00:40:54,520 Speaker 1: number of children who are in the hospital on this 768 00:40:54,719 --> 00:40:58,480 Speaker 1: is actually pretty difficult in order to ascertain, largely because 769 00:40:58,640 --> 00:41:03,319 Speaker 1: of largely because of like HIPPA. Obviously, state by state 770 00:41:03,400 --> 00:41:07,200 Speaker 1: data as of January eighth, there are about five thousand. 771 00:41:07,360 --> 00:41:10,400 Speaker 1: So look, that was two days ago. That was AHHS data. 772 00:41:10,680 --> 00:41:13,560 Speaker 1: It you know, generally tracks, but if you look compare 773 00:41:13,560 --> 00:41:15,480 Speaker 1: that to the number of kids obviously who have gotten it, 774 00:41:15,680 --> 00:41:18,640 Speaker 1: and then even whenever we continue to see that a 775 00:41:18,800 --> 00:41:22,160 Speaker 1: huge number of these cases, especially kids who are in 776 00:41:22,239 --> 00:41:24,560 Speaker 1: the hospital are with COVID. You come in with a 777 00:41:24,600 --> 00:41:27,080 Speaker 1: broken leg, you test positive, and you're technically qualified. So 778 00:41:27,880 --> 00:41:30,160 Speaker 1: keep that in mind. But it is off by a 779 00:41:30,200 --> 00:41:33,719 Speaker 1: factor of twenty. When we're talking about the justice, I 780 00:41:33,719 --> 00:41:35,360 Speaker 1: think there's a lot to be said here, which is 781 00:41:35,360 --> 00:41:38,200 Speaker 1: that think about the type of media that she has 782 00:41:38,239 --> 00:41:41,279 Speaker 1: to consume in order to believe that that is true. Yes, 783 00:41:41,480 --> 00:41:44,279 Speaker 1: that means that that's a systemic failure. That's not just 784 00:41:44,440 --> 00:41:48,759 Speaker 1: on her, that is on a whole architecture of psychotic 785 00:41:49,200 --> 00:41:51,359 Speaker 1: you know, media obsession on this. I'm doing my whole 786 00:41:51,360 --> 00:41:55,160 Speaker 1: monologue on the cdc'soned role. But that's a major indictment 787 00:41:55,200 --> 00:41:58,400 Speaker 1: of the elite class in this country. I totally agree. 788 00:41:58,440 --> 00:42:01,200 Speaker 1: I did a monologue last week based on a New 789 00:42:01,280 --> 00:42:04,120 Speaker 1: York Times article by David Leenhrt, just laying out the 790 00:42:04,200 --> 00:42:06,600 Speaker 1: data which is very clear about the way kids have 791 00:42:06,640 --> 00:42:11,360 Speaker 1: been hurt by school shutdowns and the comparatively low risk 792 00:42:11,719 --> 00:42:14,320 Speaker 1: that kids are at when it comes to coronavirus and 793 00:42:14,400 --> 00:42:18,040 Speaker 1: especially when it comes to omicron. Boy, were people upset? 794 00:42:18,440 --> 00:42:22,040 Speaker 1: I was? I was? I mean? I was? I guess 795 00:42:22,160 --> 00:42:25,120 Speaker 1: to me, the data is so straightforward. I'm not saying 796 00:42:25,160 --> 00:42:29,080 Speaker 1: that there's zero risk to kids, but compared to other 797 00:42:29,360 --> 00:42:32,440 Speaker 1: risks like the flu in pneumonia, compared to just the 798 00:42:32,560 --> 00:42:34,920 Speaker 1: risk of driving in the car to the school place, 799 00:42:35,560 --> 00:42:37,920 Speaker 1: you are at much lower risk. And we know it 800 00:42:38,320 --> 00:42:43,719 Speaker 1: very clear, the way that kids academic achievement, the way 801 00:42:43,760 --> 00:42:48,239 Speaker 1: that their mental health has suffered, the way behavioral problems 802 00:42:48,239 --> 00:42:51,440 Speaker 1: have spiked, the way suicide has increased. So we have 803 00:42:51,560 --> 00:42:55,120 Speaker 1: very clear data on the way that closing schools hurt kids, 804 00:42:55,160 --> 00:42:59,560 Speaker 1: and actually no clear data on closing schools helping kids. 805 00:42:59,880 --> 00:43:02,520 Speaker 1: It's not even clear that it did reduce their risk 806 00:43:02,680 --> 00:43:06,040 Speaker 1: to omicron ultimately, but you can see when you have 807 00:43:06,160 --> 00:43:10,360 Speaker 1: someone who is as knowledgeable as just as Sodamayore has 808 00:43:10,400 --> 00:43:15,080 Speaker 1: to be with such a skewed perception, I mean, just 809 00:43:15,320 --> 00:43:19,120 Speaker 1: wildly off about the risks that are facing kids, then 810 00:43:19,120 --> 00:43:21,640 Speaker 1: I understand how you would view what I was saying. 811 00:43:21,680 --> 00:43:23,880 Speaker 1: It's like, my God, how can you put our children 812 00:43:23,920 --> 00:43:27,000 Speaker 1: at risk like this? Jesus Christ, you're a mother, Because 813 00:43:27,040 --> 00:43:29,720 Speaker 1: there are a lot of people who have consumed media 814 00:43:30,239 --> 00:43:34,560 Speaker 1: that because of the overwhelming emphasis and the inflation of 815 00:43:34,680 --> 00:43:38,840 Speaker 1: the risk to children, don't actually understand the sort of 816 00:43:38,920 --> 00:43:42,399 Speaker 1: comparative risk level of these sorts of policies. So that's 817 00:43:42,480 --> 00:43:46,880 Speaker 1: why it really really matters ultimately a lot, and is 818 00:43:47,000 --> 00:43:49,840 Speaker 1: very telling that she could be off by a factor 819 00:43:49,960 --> 00:43:54,399 Speaker 1: of twenty on such an important I mean, what could 820 00:43:54,440 --> 00:43:58,080 Speaker 1: be more important metric than the risk level that is 821 00:43:58,080 --> 00:44:00,960 Speaker 1: facing our children? Right, And then bring it to the substance, 822 00:44:00,960 --> 00:44:03,919 Speaker 1: which is also very important, is this mandate does look 823 00:44:03,960 --> 00:44:06,399 Speaker 1: like it's going down for the general population. So let's 824 00:44:06,400 --> 00:44:07,960 Speaker 1: go ahead and put that up there on the screen 825 00:44:08,000 --> 00:44:10,680 Speaker 1: from the New Yorker vaccine mandates have a bad day 826 00:44:10,719 --> 00:44:12,960 Speaker 1: at the Supreme Court. Let me try and explain it 827 00:44:13,040 --> 00:44:16,440 Speaker 1: best that I can. So the conservative majority in their 828 00:44:16,560 --> 00:44:19,239 Speaker 1: questioning what where they were hinting at is that if 829 00:44:19,320 --> 00:44:24,040 Speaker 1: Congress were to give OSHA the ability, the OSHA Agency 830 00:44:24,080 --> 00:44:26,960 Speaker 1: the ability to implement a vaccine mandate, they would have 831 00:44:27,120 --> 00:44:33,440 Speaker 1: written vaccine mandate specifically within the charter of OSHA. Now, 832 00:44:33,760 --> 00:44:37,680 Speaker 1: this conflicts with a general more liberal view of the Court, 833 00:44:37,719 --> 00:44:39,799 Speaker 1: and I don't mean that pejoritay ofly. I'm just saying, 834 00:44:39,800 --> 00:44:42,759 Speaker 1: in terms of how it is looked at through administrative law, 835 00:44:42,960 --> 00:44:45,400 Speaker 1: that OSHA, by its ability and its mandate to keep 836 00:44:45,400 --> 00:44:49,160 Speaker 1: people safe, can then go ahead and try and mandate vaccination. 837 00:44:49,520 --> 00:44:52,720 Speaker 1: This doesn't even necessarily matter whenever it comes to the science. 838 00:44:52,760 --> 00:44:55,520 Speaker 1: And I know that sounds ridiculous, but law doesn't really 839 00:44:55,520 --> 00:44:58,200 Speaker 1: work that way. But from the Supreme Court kind of 840 00:44:58,239 --> 00:45:02,320 Speaker 1: more textualist conservative, you, what they're saying is that OSHA 841 00:45:02,600 --> 00:45:06,719 Speaker 1: doesn't have that ability because Congress never specifically enumerated them 842 00:45:07,040 --> 00:45:11,160 Speaker 1: with that ability of the within the law. Thus, and 843 00:45:11,200 --> 00:45:13,960 Speaker 1: this is what Justice Gorsicch and others were saying, is 844 00:45:14,080 --> 00:45:17,480 Speaker 1: it is very clear that this OSHA mandate was used 845 00:45:17,520 --> 00:45:20,719 Speaker 1: as a workaround of Congress, and that because of the 846 00:45:20,719 --> 00:45:23,960 Speaker 1: inability of Congress to function, that the Biden administration was 847 00:45:24,040 --> 00:45:28,840 Speaker 1: using administrative law to circumvent the democratic process and implement it. Actually, 848 00:45:28,880 --> 00:45:31,160 Speaker 1: you know, somewhat sympathetic to that, and we could even 849 00:45:31,160 --> 00:45:33,080 Speaker 1: talk about it from a more scientific point of view. 850 00:45:33,120 --> 00:45:34,799 Speaker 1: Why I don't even especially with omicron, I don't think 851 00:45:34,840 --> 00:45:37,239 Speaker 1: it makes any sense. But that is kind of a 852 00:45:37,280 --> 00:45:40,720 Speaker 1: decent summary of it. Now from the liberal point of view, Kagan, 853 00:45:40,800 --> 00:45:45,440 Speaker 1: sodamayor Brier and others appeared to be more in line 854 00:45:45,480 --> 00:45:48,800 Speaker 1: with what I was saying about the interpretation of the 855 00:45:48,840 --> 00:45:52,399 Speaker 1: actual abilities that Congress has given OSHA, And we're looking 856 00:45:52,480 --> 00:45:55,439 Speaker 1: at it from that way, especially given what they looked 857 00:45:55,480 --> 00:45:57,840 Speaker 1: at as a severity of the virus. But given the 858 00:45:57,920 --> 00:46:00,399 Speaker 1: six ' three, it doesn't look like this is going 859 00:46:00,440 --> 00:46:02,560 Speaker 1: to stand so basically, and this is why this is 860 00:46:02,600 --> 00:46:05,800 Speaker 1: relevant not just for this particular vaccine and test mandate, 861 00:46:05,960 --> 00:46:10,600 Speaker 1: but more broadly for how the court approaches their role 862 00:46:10,920 --> 00:46:14,800 Speaker 1: versus the role of these agencies. Is Congress actually granted 863 00:46:14,880 --> 00:46:21,760 Speaker 1: OSHA very broad authority. The osh Act of nineteen seventy 864 00:46:21,800 --> 00:46:25,400 Speaker 1: Occupational Safety and Health Act of nineteen seventy permits OSHIA 865 00:46:25,400 --> 00:46:29,120 Speaker 1: to issue binding rules that provide quote medical criteria which 866 00:46:29,160 --> 00:46:32,280 Speaker 1: will assure, insofar as practicable, that no employee will suffer 867 00:46:32,280 --> 00:46:35,719 Speaker 1: to manish health, functional capacity, or life expectancy as a 868 00:46:35,719 --> 00:46:39,400 Speaker 1: result of his work experience. So that is a very 869 00:46:39,600 --> 00:46:43,920 Speaker 1: broad granting of authority. And basically you're saying to Osha, 870 00:46:44,239 --> 00:46:47,120 Speaker 1: and you can interpret that, you know, however you see 871 00:46:47,160 --> 00:46:50,640 Speaker 1: fit in order to protect workers. What the court is 872 00:46:50,680 --> 00:46:55,080 Speaker 1: effectively saying here is that they are uncomfortable with a 873 00:46:55,120 --> 00:46:59,000 Speaker 1: federal agency being granted such sweeping powers and that they 874 00:46:59,040 --> 00:47:03,600 Speaker 1: believe the laws should more specifically enumerate what powers agencies 875 00:47:03,640 --> 00:47:07,680 Speaker 1: are ultimately given. So that has potential ramifications not just 876 00:47:07,760 --> 00:47:10,880 Speaker 1: in this case, but in a lot of other cases 877 00:47:10,920 --> 00:47:15,160 Speaker 1: where the power of a federal agency is ultimately questioned. 878 00:47:15,520 --> 00:47:19,319 Speaker 1: So on the more broader vaccine or test mandate for 879 00:47:19,400 --> 00:47:22,279 Speaker 1: the public, I mean, every analyst that I read said 880 00:47:22,280 --> 00:47:25,760 Speaker 1: it's going down, like it looks very likely to go down. 881 00:47:25,840 --> 00:47:28,480 Speaker 1: And I think to your point, Wall Street Journal raised this, 882 00:47:29,520 --> 00:47:31,560 Speaker 1: which is an interesting point that maybe I have some 883 00:47:31,640 --> 00:47:34,600 Speaker 1: issues with, But they said, look, actually, with omicron, there 884 00:47:34,680 --> 00:47:37,839 Speaker 1: isn't a lot of evidence that being vaccinated stops the 885 00:47:37,880 --> 00:47:40,759 Speaker 1: incident of illness. Now, look, you are much less likely 886 00:47:40,840 --> 00:47:42,960 Speaker 1: to be hospitalized and much less likely to die if 887 00:47:43,000 --> 00:47:45,320 Speaker 1: you are vaccinated. But in terms of stopping the spread 888 00:47:46,000 --> 00:47:49,200 Speaker 1: with omicron. It doesn't actually seem like there's not evidence 889 00:47:49,280 --> 00:47:52,080 Speaker 1: to say that the vaccines are effective. We don't have 890 00:47:52,120 --> 00:47:54,800 Speaker 1: the science to say that yet. But putting that aside, 891 00:47:54,840 --> 00:47:59,040 Speaker 1: so on the broader public question, it looks likely that 892 00:47:59,239 --> 00:48:01,800 Speaker 1: is going to be struck down. On a more narrow 893 00:48:01,960 --> 00:48:07,040 Speaker 1: question of health facilities that receive Medicare and Medicaid funds, 894 00:48:07,360 --> 00:48:10,400 Speaker 1: they seem more likely to uphold that one, because in 895 00:48:10,440 --> 00:48:13,120 Speaker 1: that instance, the federal government is basically saying, look, you 896 00:48:13,200 --> 00:48:15,720 Speaker 1: got to play by our rules or we're pulling our funding. 897 00:48:16,640 --> 00:48:20,799 Speaker 1: Roberts and others seemed more likely to agree ultimately to 898 00:48:20,880 --> 00:48:23,520 Speaker 1: that more narrow instance. Yeah, I actually do think it 899 00:48:23,560 --> 00:48:25,879 Speaker 1: makes sense, right, which is that we do have very 900 00:48:25,920 --> 00:48:29,040 Speaker 1: specific case law around what it means in order to 901 00:48:29,080 --> 00:48:32,600 Speaker 1: work in a medical establishment. Now, once again, whether you 902 00:48:32,719 --> 00:48:34,920 Speaker 1: disagree or not as to whether that's you can be 903 00:48:34,920 --> 00:48:38,040 Speaker 1: implemented from a legal perspective that has a much more 904 00:48:38,239 --> 00:48:41,480 Speaker 1: narrow kind of focus with a lot of different regulations 905 00:48:41,480 --> 00:48:43,120 Speaker 1: in the way that we have it right now, especially 906 00:48:43,120 --> 00:48:44,880 Speaker 1: in the way that the state has it. But whenever 907 00:48:44,920 --> 00:48:48,080 Speaker 1: it comes to a private workplace, especially over one hundred workers, 908 00:48:48,320 --> 00:48:50,760 Speaker 1: that is a whole other can of worms. It also 909 00:48:50,840 --> 00:48:53,239 Speaker 1: is indicative of much more meta levels, like you were 910 00:48:53,239 --> 00:48:56,160 Speaker 1: saying around how the conservative majority is going to be 911 00:48:56,239 --> 00:48:59,640 Speaker 1: looking at specific laws and this goes to the Federalist 912 00:48:59,680 --> 00:49:02,879 Speaker 1: Society and a lot of the specific legal doctrine that 913 00:49:02,920 --> 00:49:05,919 Speaker 1: these guys subscribed to that is now within the court. 914 00:49:05,960 --> 00:49:08,279 Speaker 1: So it's it's good to try and familiarize yourself with 915 00:49:08,360 --> 00:49:10,319 Speaker 1: it here if you do care about some of these 916 00:49:10,360 --> 00:49:12,440 Speaker 1: big cases that are happening. That's kind of the best 917 00:49:12,440 --> 00:49:15,360 Speaker 1: summary that you'll see. It's almost certainly not going to stand, 918 00:49:15,440 --> 00:49:17,480 Speaker 1: even though I believe it is still kind of going 919 00:49:17,520 --> 00:49:20,279 Speaker 1: into effect with the appellate Court. So it's a bit 920 00:49:20,280 --> 00:49:23,040 Speaker 1: of a chaotic situation, and we'll keep everybody updated. Yeah, 921 00:49:23,040 --> 00:49:24,680 Speaker 1: and the last thing I'll say is it is somewhat 922 00:49:24,680 --> 00:49:27,360 Speaker 1: of a break with precedent because there have been previous 923 00:49:27,480 --> 00:49:30,320 Speaker 1: vaccine mandates at the local that were even more stringent 924 00:49:30,360 --> 00:49:33,920 Speaker 1: that didn't even have the testing out that were ultimately upheld. 925 00:49:34,360 --> 00:49:39,239 Speaker 1: So obviously has this vaccine mandate is supposed to go 926 00:49:39,239 --> 00:49:42,200 Speaker 1: into effect today and they have not decided to sort 927 00:49:42,200 --> 00:49:44,720 Speaker 1: of block the rule from being implemented as of today, 928 00:49:44,800 --> 00:49:47,000 Speaker 1: but it looks very likely to ultimately be struck down 929 00:49:47,040 --> 00:49:50,240 Speaker 1: with broader implications for how they orient themselves with regards 930 00:49:50,280 --> 00:49:52,160 Speaker 1: to the federal agency. It's right so speaking of the 931 00:49:52,160 --> 00:49:54,960 Speaker 1: Supreme Court, so to my or, this fits very nicely. Indeed, 932 00:49:55,480 --> 00:49:57,840 Speaker 1: this is one of the worst media screw ups that 933 00:49:57,880 --> 00:50:00,000 Speaker 1: I have seen in a long time, and it actually 934 00:50:00,120 --> 00:50:04,440 Speaker 1: has some pretty big implication. So let's give everybody the background, 935 00:50:04,480 --> 00:50:07,080 Speaker 1: which is that political playbook. I don't even know how 936 00:50:07,120 --> 00:50:10,480 Speaker 1: to describe. It has this kind of gossipy rag section 937 00:50:10,640 --> 00:50:14,120 Speaker 1: called spotted where a lot of people will see people 938 00:50:14,160 --> 00:50:16,880 Speaker 1: about town and say, spotted, I saw so and so 939 00:50:16,920 --> 00:50:18,920 Speaker 1: and so and so having dinner, and then it will 940 00:50:19,000 --> 00:50:22,000 Speaker 1: end up there people famously. You might remember there was 941 00:50:22,040 --> 00:50:24,440 Speaker 1: that time that Robert Muller and Don Junior were at 942 00:50:24,440 --> 00:50:27,080 Speaker 1: the same gate in the airport. Okay, these are the 943 00:50:27,080 --> 00:50:30,680 Speaker 1: type of cringe things that people in Washington care about. Also, 944 00:50:30,760 --> 00:50:33,560 Speaker 1: dirty little secret, one of the most one of the 945 00:50:33,560 --> 00:50:35,640 Speaker 1: ways that you know you should hate somebody here is 946 00:50:35,640 --> 00:50:39,880 Speaker 1: when they send in their own birthday or spotted into 947 00:50:40,080 --> 00:50:42,719 Speaker 1: playbook with the hope of trying to get in there. 948 00:50:43,320 --> 00:50:45,359 Speaker 1: I won't name any names, but I know some people 949 00:50:45,360 --> 00:50:48,439 Speaker 1: who've been doing that anyway, So there's this restaurant called 950 00:50:48,520 --> 00:50:53,120 Speaker 1: Late Diplomat here in DC. Actually live nearby. Frankly dramatically overrated. 951 00:50:53,200 --> 00:50:55,319 Speaker 1: I have no idea why people love it so much, 952 00:50:55,400 --> 00:50:57,360 Speaker 1: but it's kind of the place to be seen C 953 00:50:57,640 --> 00:51:00,759 Speaker 1: and B seen. It's like the high dollar restaurant's very 954 00:51:00,800 --> 00:51:03,200 Speaker 1: hard to get a reservation. So there was somebody who's 955 00:51:03,280 --> 00:51:07,320 Speaker 1: dining there actually right after that Supreme Court oral argument, 956 00:51:07,640 --> 00:51:10,520 Speaker 1: and they noted who they thought was Justice Sonya Soda 957 00:51:10,600 --> 00:51:14,600 Speaker 1: my Or dining with Democratic leadership Nancy Pelosi, Chuck Schumer, 958 00:51:14,719 --> 00:51:17,719 Speaker 1: Dick Durbin, and a few others am Klobe Strk. This 959 00:51:17,760 --> 00:51:20,359 Speaker 1: was a really big deal because Sonya Soda my Ore 960 00:51:20,880 --> 00:51:23,440 Speaker 1: called basically was like, I have to do the oral 961 00:51:23,520 --> 00:51:26,640 Speaker 1: arguments from home. I have a co morbidity, and I'll admit. 962 00:51:26,719 --> 00:51:28,520 Speaker 1: When I saw this photo and I saw the headline 963 00:51:28,560 --> 00:51:32,400 Speaker 1: that Politico had said, Sonyaisoda my Ore out dining in public, 964 00:51:32,440 --> 00:51:34,839 Speaker 1: I was like you, My blood pressure was so high. 965 00:51:34,840 --> 00:51:37,480 Speaker 1: I was like, you hypocrite, you're calling out sick. I 966 00:51:37,520 --> 00:51:39,520 Speaker 1: was like, you go out to Dinney, you're hobnobbin, you're 967 00:51:39,560 --> 00:51:42,480 Speaker 1: drinking French wine at lay Dip, and here's the photo. 968 00:51:42,560 --> 00:51:44,160 Speaker 1: So let's go ahead and put that up there on 969 00:51:44,200 --> 00:51:45,799 Speaker 1: the screen. This is the photo that was sent in 970 00:51:45,840 --> 00:51:49,120 Speaker 1: to Politico that wasn't unpublished, and they said that the 971 00:51:49,120 --> 00:51:51,759 Speaker 1: woman who was seated there right next to Amy Klobachar 972 00:51:52,200 --> 00:51:53,960 Speaker 1: was Sonya Soda my Ar. And I will admit I 973 00:51:54,160 --> 00:51:58,160 Speaker 1: kind of looks like it, you know, from behind, similar 974 00:51:58,200 --> 00:52:00,919 Speaker 1: hairstyle build and you would think, okay, I could see 975 00:52:00,960 --> 00:52:04,480 Speaker 1: why that happened. Well they did not, and sounds it 976 00:52:04,560 --> 00:52:08,080 Speaker 1: turns out contact anybody else who was at the dinner, 977 00:52:08,400 --> 00:52:11,120 Speaker 1: and they just published it sight unseen, despite the fact 978 00:52:11,120 --> 00:52:14,319 Speaker 1: that you can't even see her face right there. They 979 00:52:14,360 --> 00:52:16,960 Speaker 1: never confirmed it with Soda my Omer's office, Chuck Schumer's office, 980 00:52:16,960 --> 00:52:19,319 Speaker 1: any of the people who were there. Uh, And it 981 00:52:19,400 --> 00:52:21,799 Speaker 1: turns out, let's put this on the screen, that that 982 00:52:22,000 --> 00:52:26,560 Speaker 1: was Chuck Schumer's wife. And I couldn't believe it, Crystal, 983 00:52:26,719 --> 00:52:32,120 Speaker 1: that they ran this national piece of news with zero verification. 984 00:52:32,640 --> 00:52:34,799 Speaker 1: They didn't go out of their way to try and 985 00:52:34,920 --> 00:52:38,360 Speaker 1: verify it at all. They took hours to even issue 986 00:52:38,400 --> 00:52:41,000 Speaker 1: a correction. What ended up happening is that it was 987 00:52:41,120 --> 00:52:44,200 Speaker 1: published and then the people in the offices were like, 988 00:52:44,280 --> 00:52:46,880 Speaker 1: hold on a second, did my boss have dinner with 989 00:52:46,960 --> 00:52:48,520 Speaker 1: Sonya so on my own and then they're calling their 990 00:52:48,560 --> 00:52:51,320 Speaker 1: boss and they're like, hey, this is totally not true. 991 00:52:51,520 --> 00:52:54,399 Speaker 1: Representatives for uh I think Schumer's office said they didn't 992 00:52:54,400 --> 00:52:56,880 Speaker 1: even hear about it until it had been published. That 993 00:52:57,040 --> 00:53:01,040 Speaker 1: is journalistic malprora the most basic thing, right, So you 994 00:53:01,200 --> 00:53:03,520 Speaker 1: take a photo of somebody, that's essentially like saying a 995 00:53:03,560 --> 00:53:06,440 Speaker 1: tweet is true by just looking, you know, at a photo. 996 00:53:06,760 --> 00:53:10,360 Speaker 1: Once again, highly incendiary claim. This was something that was 997 00:53:10,520 --> 00:53:13,200 Speaker 1: really making the rounds amongst a lot of people on 998 00:53:13,239 --> 00:53:16,520 Speaker 1: the right. Just blow it was huge. It was a 999 00:53:16,560 --> 00:53:20,160 Speaker 1: trending story. People were like, hypocrisy once again from the 1000 00:53:20,200 --> 00:53:23,120 Speaker 1: liberal elite. Look at him hobnobbing after they call out 1001 00:53:23,160 --> 00:53:26,240 Speaker 1: sick all of this. I mean, you can't publish something 1002 00:53:26,280 --> 00:53:29,560 Speaker 1: like this without a recognizing how incendiary of a claim 1003 00:53:29,840 --> 00:53:33,360 Speaker 1: and be not going in any way to try and 1004 00:53:33,480 --> 00:53:36,040 Speaker 1: verify it. And actually, what's really egregious, let's go ahead 1005 00:53:36,040 --> 00:53:38,080 Speaker 1: and put this up there, is that they ended up 1006 00:53:38,080 --> 00:53:41,160 Speaker 1: putting out an editor's note, you know, so to speak, 1007 00:53:41,160 --> 00:53:44,479 Speaker 1: and say we published an item erroneously placing Supreme Court 1008 00:53:44,520 --> 00:53:47,120 Speaker 1: Justice Sonia Sotoma are dining with democratic leaders. The person 1009 00:53:47,160 --> 00:53:50,000 Speaker 1: who sent us the tip in the picture mistook Iris Weinshaw, 1010 00:53:50,120 --> 00:53:52,600 Speaker 1: wife of Senate Majority Leader Chuck Schumer, for the Justice. 1011 00:53:52,760 --> 00:53:56,719 Speaker 1: Political standards require we verify this information. The editor who 1012 00:53:56,760 --> 00:53:59,399 Speaker 1: received the tip failed to do so. In this case, 1013 00:53:59,600 --> 00:54:01,800 Speaker 1: we deep regret the error. The corrected version of the 1014 00:54:01,840 --> 00:54:05,920 Speaker 1: newsletter is published below. But here's the thing. They didn't 1015 00:54:05,960 --> 00:54:08,799 Speaker 1: send out a correction to all their newsletter readers. They 1016 00:54:08,880 --> 00:54:11,640 Speaker 1: only included the correction twenty four hours later in the 1017 00:54:11,719 --> 00:54:14,400 Speaker 1: latter edition. And there was still a lot of people 1018 00:54:14,600 --> 00:54:17,400 Speaker 1: who read that newsletter who were like, holy crap, I 1019 00:54:17,440 --> 00:54:19,880 Speaker 1: can't believe that she did this. Yeah. Well, and how 1020 00:54:19,920 --> 00:54:22,719 Speaker 1: many people will see the original item and never see 1021 00:54:22,760 --> 00:54:25,000 Speaker 1: this exactly the direction? You know, how many people are 1022 00:54:25,000 --> 00:54:26,760 Speaker 1: going to see that. And I'm not, you know, standing 1023 00:54:26,840 --> 00:54:28,480 Speaker 1: up for so of my r I'm just saying, like 1024 00:54:28,680 --> 00:54:31,759 Speaker 1: the truth should be known. This again raised his question 1025 00:54:31,920 --> 00:54:34,280 Speaker 1: how many other times did they not check it? Whatever 1026 00:54:34,320 --> 00:54:37,680 Speaker 1: it didn't cause something incendiary. Do they just rely on 1027 00:54:37,800 --> 00:54:40,520 Speaker 1: word of mouth? I mean, I know it's difficult to 1028 00:54:40,600 --> 00:54:43,240 Speaker 1: understand if you don't live here, but this is truly 1029 00:54:43,640 --> 00:54:46,960 Speaker 1: like one of the lifebloods of Washington in terms of 1030 00:54:47,000 --> 00:54:55,080 Speaker 1: the spotted section, like the news this is liked to 1031 00:54:55,120 --> 00:54:59,160 Speaker 1: the city starts their day. It is like the insider 1032 00:54:59,280 --> 00:55:03,400 Speaker 1: Gothic ride, you know, and it is profoundly influential, although 1033 00:55:03,440 --> 00:55:05,640 Speaker 1: there are some questions about how influential it will remain 1034 00:55:05,680 --> 00:55:08,680 Speaker 1: because there are a lot of other newsletter competitors out there, 1035 00:55:08,680 --> 00:55:11,200 Speaker 1: Punch Bowl of these other things that are trying to 1036 00:55:11,200 --> 00:55:14,120 Speaker 1: compete with it and doing so. But yeah, I think 1037 00:55:14,160 --> 00:55:17,480 Speaker 1: the biggest question it raises is like, oh, you all 1038 00:55:17,480 --> 00:55:19,640 Speaker 1: are just sloppy with this stuff all the time, aren't you, 1039 00:55:19,680 --> 00:55:22,400 Speaker 1: Because there is no way anytime someone gets caught like this, 1040 00:55:22,560 --> 00:55:24,520 Speaker 1: you know, damn well, is not the first time that 1041 00:55:24,600 --> 00:55:27,520 Speaker 1: they failed to verify and run it through the traps 1042 00:55:27,520 --> 00:55:32,160 Speaker 1: and just the most basic journalistic practices. So it shows 1043 00:55:32,200 --> 00:55:38,120 Speaker 1: you how dramatically unreliable Politico's premier product brought to you 1044 00:55:38,160 --> 00:55:44,080 Speaker 1: by Chevron, Yeah, brought to other people use. Yeah, that 1045 00:55:44,120 --> 00:55:46,040 Speaker 1: would be interesting to know. But yeah, I mean, it 1046 00:55:46,160 --> 00:55:48,479 Speaker 1: just shows you how sloppy they are with what they're doing, 1047 00:55:48,560 --> 00:55:50,759 Speaker 1: how careless they are with the facts. And I think 1048 00:55:50,760 --> 00:55:54,360 Speaker 1: how oblivious, because I have to think that they didn't 1049 00:55:54,400 --> 00:55:57,560 Speaker 1: realize what a ship storm this would cause, because I 1050 00:55:57,560 --> 00:56:00,920 Speaker 1: think if they knew, oh, this is a really explosive item. 1051 00:56:01,280 --> 00:56:04,560 Speaker 1: Maybe they would have done the basics to check it. 1052 00:56:05,000 --> 00:56:08,680 Speaker 1: I mean, it seems like if you've got a major 1053 00:56:08,920 --> 00:56:11,279 Speaker 1: scoop like this, ultimately you would at least do the 1054 00:56:11,400 --> 00:56:13,640 Speaker 1: very basics of reaching out for comment, because you know 1055 00:56:13,680 --> 00:56:16,200 Speaker 1: what's going to be really embarrassing to the people who 1056 00:56:16,280 --> 00:56:18,799 Speaker 1: are involved. So I think they also were sort of 1057 00:56:18,800 --> 00:56:22,160 Speaker 1: oblivious to the cultural context, which is a problem in 1058 00:56:22,200 --> 00:56:26,320 Speaker 1: and of itself that you wouldn't even recognize the newsworthiness 1059 00:56:26,360 --> 00:56:29,239 Speaker 1: of what you're ultimately reporting here. Yeah, so it was 1060 00:56:29,280 --> 00:56:32,600 Speaker 1: presented by the Freedom to Vote Alliance, a shady nonprofit group. 1061 00:56:32,680 --> 00:56:35,839 Speaker 1: Sorry everyone. In terms of Sunday, it was the same 1062 00:56:35,920 --> 00:56:38,880 Speaker 1: thing today's. I'm sure it'll be Chevron or Facebook or 1063 00:56:38,880 --> 00:56:41,880 Speaker 1: some other blue chip corporation. But this is again a 1064 00:56:41,960 --> 00:56:44,880 Speaker 1: very important thing to understand, which is that whenever the 1065 00:56:44,920 --> 00:56:47,000 Speaker 1: people who report the news get caught, it's kind of 1066 00:56:47,000 --> 00:56:49,120 Speaker 1: like what they say about drunk drivers, which is that 1067 00:56:49,239 --> 00:56:52,359 Speaker 1: whenever you catch a drunk driver, on average, that means 1068 00:56:52,360 --> 00:56:55,399 Speaker 1: they've driven drunk over a couple hundred times. Right. It's 1069 00:56:55,400 --> 00:56:57,759 Speaker 1: one of those things where if you get caught, I mean, 1070 00:56:57,760 --> 00:57:00,239 Speaker 1: the odds of getting caught are very low, and that 1071 00:57:00,320 --> 00:57:02,560 Speaker 1: means that, you know, to get caught in that way, 1072 00:57:02,880 --> 00:57:05,520 Speaker 1: which is that on average, they this is a consistent 1073 00:57:05,680 --> 00:57:07,520 Speaker 1: pattern and a live style. Part of the reason I'm 1074 00:57:07,560 --> 00:57:11,399 Speaker 1: very okay with very stringent, very stringent penalties on that 1075 00:57:11,440 --> 00:57:14,279 Speaker 1: because I know how common it is with a lot 1076 00:57:14,280 --> 00:57:16,520 Speaker 1: of people, and why whenever they do get caught, it 1077 00:57:16,600 --> 00:57:18,800 Speaker 1: is much more of a reflection of a much bigger trend. 1078 00:57:19,000 --> 00:57:21,640 Speaker 1: And in this case, the only reason they've got caught 1079 00:57:21,840 --> 00:57:24,720 Speaker 1: was because it was an item of such explosiveness. But 1080 00:57:24,760 --> 00:57:26,840 Speaker 1: how many times did somebody complain and say, well, that's 1081 00:57:26,840 --> 00:57:29,120 Speaker 1: not actually what happened. You just printed what so and 1082 00:57:29,160 --> 00:57:31,440 Speaker 1: so said, here's my side of the story, and they 1083 00:57:31,440 --> 00:57:33,840 Speaker 1: basically are like, oh, shove it, you know, I mean, 1084 00:57:34,040 --> 00:57:36,200 Speaker 1: you know, or are They're like yeah, and they include 1085 00:57:36,240 --> 00:57:38,120 Speaker 1: like a little editor's note down at the bottom. This 1086 00:57:38,200 --> 00:57:39,800 Speaker 1: time they only did it at the top because it 1087 00:57:39,840 --> 00:57:43,520 Speaker 1: was such a matter of national explosion. So once again, 1088 00:57:43,680 --> 00:57:45,760 Speaker 1: you know, you be careful what you read, be careful 1089 00:57:45,800 --> 00:57:48,600 Speaker 1: what you believe. I mean, I myself was guilty of it. 1090 00:57:48,800 --> 00:57:50,880 Speaker 1: My blood pressure was rising, you know, guys like I 1091 00:57:50,920 --> 00:57:53,560 Speaker 1: can't believe this, you know, such a hypocrite, all this 1092 00:57:53,760 --> 00:57:56,200 Speaker 1: and it turns out to be completely fake. It's just 1093 00:57:56,280 --> 00:57:58,040 Speaker 1: it's a good reminder to me you got to check 1094 00:57:58,080 --> 00:58:00,200 Speaker 1: yourself and be like, well, hold on a second, is yeah, 1095 00:58:00,200 --> 00:58:02,280 Speaker 1: we're true the photo. You know, even though they had 1096 00:58:02,320 --> 00:58:04,360 Speaker 1: a photo, I was like, oh my god, look it's 1097 00:58:04,440 --> 00:58:06,080 Speaker 1: right there. You know, you see what you want to 1098 00:58:06,120 --> 00:58:09,160 Speaker 1: believe without any sort of check, so I will think, oh, 1099 00:58:09,160 --> 00:58:12,000 Speaker 1: it is danger. One thing I think that we benefited 1100 00:58:12,040 --> 00:58:14,360 Speaker 1: from on the show is that we both have different 1101 00:58:14,480 --> 00:58:17,240 Speaker 1: news ecosystems that we live in. Because how many times 1102 00:58:17,240 --> 00:58:18,800 Speaker 1: have you brought me an item and I've been like, 1103 00:58:19,080 --> 00:58:21,880 Speaker 1: I saw that I brought you an item and you're like, no, 1104 00:58:22,240 --> 00:58:25,040 Speaker 1: like the Gorsag thing, Yeah, I saw the Gorsage Like oh, 1105 00:58:25,040 --> 00:58:26,600 Speaker 1: we said hundreds of we got to include that, and 1106 00:58:26,640 --> 00:58:28,720 Speaker 1: you're like, oh no, no, there was a you actually 1107 00:58:28,760 --> 00:58:31,440 Speaker 1: had the audio. Listen to the audio, and that's not 1108 00:58:31,520 --> 00:58:34,280 Speaker 1: what he said. So I hope that we do a 1109 00:58:34,320 --> 00:58:36,880 Speaker 1: little bit of a better job, that's true, of checking 1110 00:58:36,920 --> 00:58:41,120 Speaker 1: each other because we do have a very divergent news ecosystem. 1111 00:58:41,240 --> 00:58:44,640 Speaker 1: But listen, this is just again another warning to be 1112 00:58:44,800 --> 00:58:48,200 Speaker 1: very careful about what you're reading and what you're believing, 1113 00:58:48,400 --> 00:58:52,360 Speaker 1: especially when it fits too kind of cutely into a 1114 00:58:52,680 --> 00:58:55,800 Speaker 1: particular partisan area. What's a phrase like too cute by half? Yeah? 1115 00:58:55,840 --> 00:58:58,760 Speaker 1: And it really was. Yeah, it was too perfect. It 1116 00:58:58,800 --> 00:59:02,080 Speaker 1: was like French laundry. It was relishing. It can't we 1117 00:59:02,160 --> 00:59:04,560 Speaker 1: to cover this on the show? Is totally bs. I mean, 1118 00:59:04,600 --> 00:59:10,560 Speaker 1: come on, guys, all right, Zacher ready looking at it? Well, 1119 00:59:10,880 --> 00:59:12,560 Speaker 1: let me say this at the top. I am as 1120 00:59:12,600 --> 00:59:15,440 Speaker 1: sick of doing COVID monologues as some of you probably 1121 00:59:15,480 --> 00:59:18,200 Speaker 1: are of hearing them. But like it or not, COVID 1122 00:59:18,280 --> 00:59:20,160 Speaker 1: and how we deal with it. It is the single 1123 00:59:20,200 --> 00:59:23,919 Speaker 1: biggest issue affecting the majority of Americans' lives right now. 1124 00:59:24,200 --> 00:59:27,200 Speaker 1: Mass on or off boosters or no? Can I get 1125 00:59:27,200 --> 00:59:29,000 Speaker 1: a rapid test? My friend who I saw three days 1126 00:59:29,040 --> 00:59:31,040 Speaker 1: ago has COVID? Do I need to do anything? My 1127 00:59:31,120 --> 00:59:33,840 Speaker 1: kid's school is closed, now, it's open, now, it's closed again, 1128 00:59:34,120 --> 00:59:37,200 Speaker 1: On and on and on. It's been a miserable two years. 1129 00:59:37,480 --> 00:59:39,960 Speaker 1: And the singular fight of our time is do we 1130 00:59:40,080 --> 00:59:42,960 Speaker 1: keep allowing them to make our lives miserable? Or do 1131 00:59:43,040 --> 00:59:46,640 Speaker 1: we say enough now? Despite their best efforts, the vast 1132 00:59:46,640 --> 00:59:50,160 Speaker 1: majority of Americans are in the latter category. The problem 1133 00:59:50,280 --> 00:59:52,560 Speaker 1: is that the ruling elite are not there yet, and 1134 00:59:52,600 --> 00:59:55,120 Speaker 1: in their quest to gaslight us into living our lives 1135 00:59:55,120 --> 00:59:58,200 Speaker 1: in fear, they have corrupted some of the most important 1136 00:59:58,200 --> 01:00:01,920 Speaker 1: scientific institutions in a Marria life. Think about before this 1137 01:00:01,960 --> 01:00:05,560 Speaker 1: pandemic the reverence with which you thought of the CDC, 1138 01:00:06,000 --> 01:00:08,840 Speaker 1: or even the FDA or the National Institute of Health. 1139 01:00:09,200 --> 01:00:14,000 Speaker 1: All three I listed have lied, obfuscated, a disregard the 1140 01:00:14,040 --> 01:00:17,720 Speaker 1: basic scientific process in the quest for social compliance. The 1141 01:00:17,840 --> 01:00:20,960 Speaker 1: latest example is right there, truly sickening, though not surprising. 1142 01:00:21,160 --> 01:00:22,960 Speaker 1: Those of you who are New York Times subscribers may 1143 01:00:23,000 --> 01:00:26,200 Speaker 1: have seen this terrifying headline, COVID may raise the risk 1144 01:00:26,280 --> 01:00:31,240 Speaker 1: of diabetes in children. CDC researchers reported, Oh my god, 1145 01:00:31,360 --> 01:00:34,680 Speaker 1: let's keep reading. A CDC study says there is a 1146 01:00:34,720 --> 01:00:39,280 Speaker 1: two point six fold increase in new diabetes cases amongst kids. 1147 01:00:39,760 --> 01:00:43,440 Speaker 1: That is obviously terrifying, and the implication is that draconian 1148 01:00:43,480 --> 01:00:47,120 Speaker 1: measures like vaccine mandates for kids, mass in schools forever, 1149 01:00:47,240 --> 01:00:51,200 Speaker 1: virtual learning, and pandemic forever policies are way more justified. 1150 01:00:51,560 --> 01:00:55,920 Speaker 1: There's just one problem. The study is complete bs Doctor 1151 01:00:56,000 --> 01:01:00,080 Speaker 1: vine Pissadi explains several problems with that study. Number one, 1152 01:01:00,160 --> 01:01:03,320 Speaker 1: the entire analysis hinges on the idea that age and 1153 01:01:03,360 --> 01:01:06,320 Speaker 1: sex match Kids without COVID should be comparable to kids 1154 01:01:06,320 --> 01:01:09,360 Speaker 1: who got COVID in terms of diabetes. Given that COVID 1155 01:01:09,480 --> 01:01:12,440 Speaker 1: is more likely to affect kids of lower socioeconomic status, 1156 01:01:12,480 --> 01:01:14,600 Speaker 1: that those kids are way more likely to be overweight 1157 01:01:14,760 --> 01:01:18,160 Speaker 1: or suffering from other medical problems, This is already an issue. 1158 01:01:18,320 --> 01:01:21,560 Speaker 1: Does the CDC correct for that in their study? No. Next, 1159 01:01:21,800 --> 01:01:24,600 Speaker 1: they're only studying reported cases of COVID in kids. They're 1160 01:01:24,600 --> 01:01:27,320 Speaker 1: not getting a real sample, given that probably the majority 1161 01:01:27,360 --> 01:01:29,960 Speaker 1: of kids who had COVID never even had their case reported. 1162 01:01:30,240 --> 01:01:33,200 Speaker 1: Is that adjusted for in the study. No. Third, kids 1163 01:01:33,200 --> 01:01:35,680 Speaker 1: who seek medical care for COVID are way more likely 1164 01:01:35,760 --> 01:01:38,600 Speaker 1: to get blood tests than those who don't. Thus this 1165 01:01:38,640 --> 01:01:41,960 Speaker 1: would also capture diabetes much earlier. Is this corrected for 1166 01:01:42,040 --> 01:01:45,680 Speaker 1: in the study? Repeat it with me. No. Finally, one 1167 01:01:45,720 --> 01:01:48,040 Speaker 1: of the databases that they use for COVID cases does 1168 01:01:48,040 --> 01:01:50,640 Speaker 1: not include any distinction in the severity of the COVID 1169 01:01:50,640 --> 01:01:53,120 Speaker 1: case per child and uses the control group of kids 1170 01:01:53,200 --> 01:01:55,520 Speaker 1: who may have not been getting test negative tests just 1171 01:01:55,520 --> 01:01:58,880 Speaker 1: for travel purposes. Again, is there any control or correction 1172 01:01:58,960 --> 01:02:02,360 Speaker 1: for this? No? One More. Actually, as doctor Prisod explains, 1173 01:02:02,680 --> 01:02:05,360 Speaker 1: even if these results are true, the risk of diabetes 1174 01:02:05,400 --> 01:02:08,000 Speaker 1: due to COVID within thirty days was less than one 1175 01:02:08,200 --> 01:02:11,280 Speaker 1: in one thousand. So even in their flawed and bunk 1176 01:02:11,360 --> 01:02:14,600 Speaker 1: study was true, it still would not justify the scare 1177 01:02:14,640 --> 01:02:17,400 Speaker 1: mongering headline in the New York Times. Did the Times 1178 01:02:17,560 --> 01:02:20,880 Speaker 1: do anything at all to convey any of this, No, 1179 01:02:21,840 --> 01:02:25,600 Speaker 1: they simply print flawed CDC propaganda to justify what they 1180 01:02:25,640 --> 01:02:28,040 Speaker 1: really want, which is kids to get vaccinated and to 1181 01:02:28,160 --> 01:02:31,280 Speaker 1: justify draconian health measures in schools. Not a single word 1182 01:02:31,280 --> 01:02:34,520 Speaker 1: of criticism of the study. Think about the millions of 1183 01:02:34,600 --> 01:02:37,800 Speaker 1: parents who justify, we read that and they freaked out. 1184 01:02:38,120 --> 01:02:40,000 Speaker 1: How many you going to watch this monologue or read 1185 01:02:40,040 --> 01:02:43,840 Speaker 1: doctor Prosod's piece. Probably a fraction. That's the point. This 1186 01:02:44,080 --> 01:02:46,960 Speaker 1: is only the latest example of the CDC getting caught 1187 01:02:46,960 --> 01:02:50,760 Speaker 1: with their pants down, pushing junk science to justify ridiculous 1188 01:02:50,800 --> 01:02:53,520 Speaker 1: pandemic measures. The other that I already brought you here 1189 01:02:53,560 --> 01:02:56,360 Speaker 1: in a past monologue, mass in schools. Let's review a 1190 01:02:56,400 --> 01:02:59,080 Speaker 1: little bit. The study they used to justify it included 1191 01:02:59,160 --> 01:03:02,200 Speaker 1: virtual schools in the control group, not open schools, and 1192 01:03:02,240 --> 01:03:04,560 Speaker 1: it was so flawed many doctors said it would not 1193 01:03:04,640 --> 01:03:08,160 Speaker 1: pass a seventh grade science project. Yet despite the obvious 1194 01:03:08,160 --> 01:03:10,560 Speaker 1: flaws and the fact that Europeans don't have massive schools 1195 01:03:10,560 --> 01:03:13,280 Speaker 1: and don't have any measure increase in children's COVID cases, 1196 01:03:13,440 --> 01:03:16,840 Speaker 1: CDC director and the organization continue to this day to 1197 01:03:16,880 --> 01:03:19,840 Speaker 1: stand by it. We are seeing the wholesale disregard of 1198 01:03:19,840 --> 01:03:24,000 Speaker 1: science across the board towards social ends. Or perhaps you're 1199 01:03:24,080 --> 01:03:26,720 Speaker 1: like me and you got the Maderna vaccine. Well, the 1200 01:03:26,760 --> 01:03:29,960 Speaker 1: booster guidance was just changed to five months from six months. 1201 01:03:30,080 --> 01:03:34,000 Speaker 1: Why not by study of the Maderna vaccine, but based 1202 01:03:34,080 --> 01:03:37,520 Speaker 1: upon data from the Pfizer vaccine, which is a completely 1203 01:03:37,720 --> 01:03:42,400 Speaker 1: different dosage of mRNA. As doctor Pisad says, the FDA 1204 01:03:42,560 --> 01:03:45,680 Speaker 1: has never changed the label for a product based upon 1205 01:03:45,760 --> 01:03:48,760 Speaker 1: data for a completely different product at a different dose, 1206 01:03:48,920 --> 01:03:51,520 Speaker 1: at a different rate of adverse effects before. But you've 1207 01:03:51,520 --> 01:03:53,840 Speaker 1: got to stick with the uniform narrative and so science 1208 01:03:53,840 --> 01:03:56,920 Speaker 1: be damned. Take natural immunity. One hundred and forty global 1209 01:03:56,920 --> 01:03:59,280 Speaker 1: studies have now affirmed the power of natural immunity in 1210 01:03:59,360 --> 01:04:02,280 Speaker 1: combating CODEVID. Yet it continues to not be recognized by 1211 01:04:02,280 --> 01:04:06,080 Speaker 1: the CDC. Why because the CDC relies on their own 1212 01:04:06,160 --> 01:04:09,520 Speaker 1: flawed studies in their study of natural immunity. In almost 1213 01:04:09,640 --> 01:04:11,880 Speaker 1: every single one of these cases, you have the CDC 1214 01:04:12,040 --> 01:04:14,960 Speaker 1: with their bunk study rigged in exactly the way that 1215 01:04:15,000 --> 01:04:17,960 Speaker 1: they needed to to justify public policy ands push from 1216 01:04:18,000 --> 01:04:20,560 Speaker 1: the top. And then on the other side you have 1217 01:04:20,600 --> 01:04:26,080 Speaker 1: the actual scientific consensus diabetes, massive schools, booster guidance, natural immunity. 1218 01:04:26,320 --> 01:04:29,680 Speaker 1: Four concrete examples of obfuscations, outright lies that are being 1219 01:04:29,800 --> 01:04:33,000 Speaker 1: used to scare the public. We need to wake up. 1220 01:04:33,320 --> 01:04:37,480 Speaker 1: This is pure manipulation of scared parents. But worse, it 1221 01:04:37,520 --> 01:04:41,120 Speaker 1: has established a criteria where when one of those organizations speaks, 1222 01:04:41,360 --> 01:04:44,640 Speaker 1: I simply do not believe them by default. The default 1223 01:04:44,640 --> 01:04:46,920 Speaker 1: in the past was I believed, and then you had 1224 01:04:46,920 --> 01:04:49,000 Speaker 1: to prove to me that they were lying. Now my 1225 01:04:49,040 --> 01:04:51,920 Speaker 1: assumption with COVID is they are lying. What if we 1226 01:04:51,960 --> 01:04:55,520 Speaker 1: have a future pandemic where the mortality rate is one percent, 1227 01:04:55,840 --> 01:04:59,160 Speaker 1: five percent, twenty percent? You think I'm in trusting these 1228 01:04:59,200 --> 01:05:02,000 Speaker 1: people a chance in hell? How many more are They're 1229 01:05:02,040 --> 01:05:04,760 Speaker 1: like me? The government has abandoned science and we will 1230 01:05:04,760 --> 01:05:07,320 Speaker 1: pay the bill for that for so many years to come. 1231 01:05:07,480 --> 01:05:09,640 Speaker 1: That diabetes thing is crazy, Crystal. I'm sure maybe you 1232 01:05:09,680 --> 01:05:11,600 Speaker 1: saw it right. Well. First of all, they put Type 1233 01:05:11,600 --> 01:05:12,640 Speaker 1: one in there, and I was like, I don't think 1234 01:05:12,680 --> 01:05:15,120 Speaker 1: you understand what Type one died. And if you want 1235 01:05:15,160 --> 01:05:18,280 Speaker 1: to hear my reaction to Sagre's monologue, become a premium 1236 01:05:18,280 --> 01:05:23,920 Speaker 1: subscriber today at Breakingpoints dot com. Cristal, what are you 1237 01:05:23,960 --> 01:05:25,600 Speaker 1: taking a look out? Well, guys, we have spent a 1238 01:05:25,640 --> 01:05:27,920 Speaker 1: lot of time covering some of the anti science insanity 1239 01:05:27,960 --> 01:05:30,720 Speaker 1: coming from libs on COVID, as Sagat just did Yale 1240 01:05:30,840 --> 01:05:33,840 Speaker 1: University telling their vaxed and boosted student body they cannot 1241 01:05:33,920 --> 01:05:37,800 Speaker 1: dine at a restaurant, even outdoors. Sonya Sodamayors, we've been 1242 01:05:37,840 --> 01:05:40,680 Speaker 1: talking about multiplying by twenty times the number of kids 1243 01:05:40,680 --> 01:05:43,800 Speaker 1: who are currently hospitalized with COVID, cities that are closing 1244 01:05:43,800 --> 01:05:46,520 Speaker 1: schools in spite of the clear data on the incredible 1245 01:05:46,600 --> 01:05:49,920 Speaker 1: damage that such policies have already done to children. But 1246 01:05:50,400 --> 01:05:54,560 Speaker 1: we must not ignore the extreme nuttiness and irresponsible hackery 1247 01:05:54,560 --> 01:05:57,360 Speaker 1: that has taken hold in the anti vax right. Case 1248 01:05:57,400 --> 01:06:00,880 Speaker 1: in point Candace Owans So. Candace sa that she is 1249 01:06:00,920 --> 01:06:04,120 Speaker 1: in fact unvaccinated. Some have questioned whether that is in 1250 01:06:04,120 --> 01:06:06,360 Speaker 1: fact true, given that she was caught attending an event 1251 01:06:06,480 --> 01:06:10,320 Speaker 1: at Madison Square Garden, a venue that requires adult attendees 1252 01:06:10,480 --> 01:06:13,000 Speaker 1: to be vaxed. When she was recently pressed by a 1253 01:06:13,080 --> 01:06:16,600 Speaker 1: viewer on whether she was really unvaccinated, she insisted that 1254 01:06:16,680 --> 01:06:19,960 Speaker 1: she was so super duper anti vaxed that she would 1255 01:06:20,000 --> 01:06:24,800 Speaker 1: literally die before getting the jab. Take a listen, next question, 1256 01:06:25,200 --> 01:06:28,960 Speaker 1: are you really unvaccinated? Really? And then there is a 1257 01:06:29,000 --> 01:06:31,800 Speaker 1: shared tweet that says Candice Owens is lying to her 1258 01:06:31,800 --> 01:06:35,160 Speaker 1: followers up being vaccinated, and it shows me at the 1259 01:06:35,280 --> 01:06:39,160 Speaker 1: UFC and it's I guess planning for your vent. Oh, 1260 01:06:39,200 --> 01:06:41,280 Speaker 1: the Madison Square Garden website which says that you've had 1261 01:06:41,320 --> 01:06:43,720 Speaker 1: at least one dose of the COVID nineteen vaccine prior 1262 01:06:43,760 --> 01:06:47,040 Speaker 1: to attending. I would I would say to the people 1263 01:06:47,160 --> 01:06:50,000 Speaker 1: first and foremost, I am obviously unvaccated. You follow the 1264 01:06:50,040 --> 01:06:52,280 Speaker 1: story of me trying to get a COVID test and 1265 01:06:52,360 --> 01:06:54,280 Speaker 1: aspen and I only had to get a COVID test 1266 01:06:54,280 --> 01:06:56,280 Speaker 1: to show that it was negative because I was unvaccated. 1267 01:06:56,320 --> 01:06:58,560 Speaker 1: So I didn't go through those jumps and hoops pretending 1268 01:06:58,560 --> 01:07:00,840 Speaker 1: to be vaccinated. I am not getting this vaccine ever, 1269 01:07:01,120 --> 01:07:02,480 Speaker 1: never going to get it. I don't care if I'm 1270 01:07:02,480 --> 01:07:04,080 Speaker 1: on my deathbed and they say can save you. I'm 1271 01:07:04,120 --> 01:07:06,400 Speaker 1: not going to get it. I'm principally now opposed to it, 1272 01:07:06,440 --> 01:07:09,840 Speaker 1: and I do not understand why anybody who is healthy, 1273 01:07:09,920 --> 01:07:13,280 Speaker 1: abled body and young would ever get this vaccine. If 1274 01:07:13,280 --> 01:07:16,320 Speaker 1: you're not at risk of COVID. Again, personal choice, you 1275 01:07:16,360 --> 01:07:19,000 Speaker 1: can choose something differently regarding the UFC event, I would 1276 01:07:19,640 --> 01:07:22,480 Speaker 1: I would instruct you not to visit the Madison Square 1277 01:07:22,480 --> 01:07:27,520 Speaker 1: Garden website, but to visit the New York City law website. 1278 01:07:27,680 --> 01:07:31,680 Speaker 1: You better understand that every time the elites make laws 1279 01:07:31,720 --> 01:07:32,920 Speaker 1: for you, there is a way that they can get 1280 01:07:32,960 --> 01:07:35,560 Speaker 1: around the laws that they're making for you. And there 1281 01:07:35,600 --> 01:07:37,560 Speaker 1: are carbouts in New York City of when you do 1282 01:07:37,560 --> 01:07:40,720 Speaker 1: not need to present a vaccine card. Unfortunately I fall 1283 01:07:40,880 --> 01:07:44,120 Speaker 1: under one of those carbouts. That's all I'll say about that. 1284 01:07:45,840 --> 01:07:48,400 Speaker 1: So she says she would not get vaxed even if 1285 01:07:48,440 --> 01:07:50,680 Speaker 1: she was on her deathbed and it would save her 1286 01:07:50,800 --> 01:07:54,240 Speaker 1: because she is quote principally opposed to it. So is 1287 01:07:54,280 --> 01:07:56,600 Speaker 1: the principle she's supposedly willing to die for, just like 1288 01:07:56,680 --> 01:07:59,760 Speaker 1: owning the libs or what is the principle here? Look, honestly, 1289 01:07:59,800 --> 01:08:01,920 Speaker 1: I've no idea whether Candis owans is lying to her 1290 01:08:01,920 --> 01:08:04,400 Speaker 1: fans hypocritically encouraging them to put their own lives at 1291 01:08:04,480 --> 01:08:07,320 Speaker 1: risk by resisting vaccination, while herself enjoying the comfort of 1292 01:08:07,360 --> 01:08:10,400 Speaker 1: knowing she is protected. But we have all of the 1293 01:08:10,440 --> 01:08:13,080 Speaker 1: information we need to know that Candisans and many more 1294 01:08:13,120 --> 01:08:15,120 Speaker 1: like her are full of shit on this topic in 1295 01:08:15,160 --> 01:08:18,600 Speaker 1: the most critical way. If they actually cared about the 1296 01:08:18,600 --> 01:08:21,200 Speaker 1: grotesque nature of our for profit healthcare system and the 1297 01:08:21,240 --> 01:08:25,040 Speaker 1: way that Farmagreed drives horrendous outcomes, they would use their 1298 01:08:25,160 --> 01:08:28,479 Speaker 1: large platforms to actually try to do something about it. 1299 01:08:28,840 --> 01:08:30,920 Speaker 1: Because while Candace and those who share her views are 1300 01:08:30,920 --> 01:08:34,200 Speaker 1: completely wrong about the risks versus the benefits of the vaccine, 1301 01:08:34,240 --> 01:08:38,240 Speaker 1: they are totally correct that big Pharma is a monstrouscessful 1302 01:08:38,320 --> 01:08:41,120 Speaker 1: of sociopaths willing to lie, cheat, and kill for fun 1303 01:08:41,160 --> 01:08:45,000 Speaker 1: and profit. In America, chronic illness is profitable, so guess 1304 01:08:45,040 --> 01:08:48,599 Speaker 1: what we have massive amounts of chronic illness. Pharmaceutical companies 1305 01:08:48,600 --> 01:08:51,920 Speaker 1: have been caught in schemes involving kickbacks to doctors, lying 1306 01:08:51,960 --> 01:08:54,320 Speaker 1: about the results of their clinical trials, and are currently 1307 01:08:54,400 --> 01:08:56,679 Speaker 1: fighting tooth and nail to make sure that poor countries 1308 01:08:56,720 --> 01:08:59,720 Speaker 1: around the world cannot produce their own cheaper vaccines to 1309 01:08:59,760 --> 01:09:03,559 Speaker 1: prett their own populations. They are in moral scumbags, driven 1310 01:09:03,600 --> 01:09:07,439 Speaker 1: by one thing, shareholder return. Americans are paying insanely high 1311 01:09:07,479 --> 01:09:11,400 Speaker 1: prices and getting insanely bad results. On every dimension. We 1312 01:09:11,520 --> 01:09:15,920 Speaker 1: are getting screwed with deadly results. Americans pay three point 1313 01:09:16,000 --> 01:09:19,280 Speaker 1: four times more for brand name drugs and citizens of 1314 01:09:19,400 --> 01:09:22,280 Speaker 1: other rich nations, so for the exact same drugs, we 1315 01:09:22,320 --> 01:09:26,000 Speaker 1: pay three point four times more. American citizens provide fifty 1316 01:09:26,080 --> 01:09:29,200 Speaker 1: eight percent of all the revenue to big Pharma, even 1317 01:09:29,240 --> 01:09:31,879 Speaker 1: as we account for only twenty four percent of the volume. 1318 01:09:32,360 --> 01:09:34,679 Speaker 1: The same mills that have infected Big Pharma, they've infected 1319 01:09:34,680 --> 01:09:37,680 Speaker 1: our entire for profit healthcare system. We spend twice as 1320 01:09:37,760 --> 01:09:40,479 Speaker 1: much per person on healthcare as a nation than other 1321 01:09:40,520 --> 01:09:44,280 Speaker 1: similar countries. We spend nearly eleven thousand dollars per year 1322 01:09:44,360 --> 01:09:47,880 Speaker 1: on healthcare every year per person. In the UK, they 1323 01:09:47,880 --> 01:09:50,720 Speaker 1: spend about forty six hundred dollars per person, and oh, 1324 01:09:50,760 --> 01:09:53,120 Speaker 1: by the way, the results that we get for that 1325 01:09:53,200 --> 01:09:56,400 Speaker 1: money are way worse than all of those other nations. 1326 01:09:56,640 --> 01:09:59,920 Speaker 1: In fact, on the most basic metric of health, long 1327 01:10:00,000 --> 01:10:03,960 Speaker 1: young people live, we are last among wealthy nations. Our 1328 01:10:04,000 --> 01:10:06,760 Speaker 1: people are expected to live five years less than the 1329 01:10:06,840 --> 01:10:10,120 Speaker 1: average of other similar nations, and our standing is projected 1330 01:10:10,160 --> 01:10:12,720 Speaker 1: to fall even further in the next twenty years. We're 1331 01:10:12,760 --> 01:10:15,479 Speaker 1: projected to fall to sixty fourth in the world in 1332 01:10:15,520 --> 01:10:19,800 Speaker 1: life expectancy, behind scores of countries with many fewer resources 1333 01:10:19,880 --> 01:10:24,520 Speaker 1: than we have. Matt Gates, Marjorie Taylor, Green, Tucker Carlson, 1334 01:10:24,720 --> 01:10:28,800 Speaker 1: Candice Owens. These are influential people with huge platforms, and 1335 01:10:28,840 --> 01:10:32,840 Speaker 1: they have all expressed distrust and skepticism a big pharma. 1336 01:10:33,080 --> 01:10:35,720 Speaker 1: So if you are so concerned about big pharma and 1337 01:10:35,800 --> 01:10:39,559 Speaker 1: for profit healthcare screwing the public, don't just virtue signal 1338 01:10:39,600 --> 01:10:41,400 Speaker 1: and throw red meat to the basis part of some 1339 01:10:41,479 --> 01:10:45,599 Speaker 1: bullshit culture war theater. Actually do something, push for real 1340 01:10:45,760 --> 01:10:49,040 Speaker 1: changes that would rain in these monsters. The most obvious 1341 01:10:49,040 --> 01:10:51,120 Speaker 1: solution is to join the rest of the developed world 1342 01:10:51,120 --> 01:10:54,160 Speaker 1: by trying to organize our healthcare system around health rather 1343 01:10:54,200 --> 01:10:56,479 Speaker 1: than around money. But I've yet to hear a single 1344 01:10:56,520 --> 01:10:58,800 Speaker 1: one of these folks suggest anything like medicare for all, 1345 01:10:58,880 --> 01:11:02,040 Speaker 1: or nationalizing big farigning and patent protections, or even the 1346 01:11:02,120 --> 01:11:07,400 Speaker 1: incredibly moderate and really sort of sillily pathetic obvious reform 1347 01:11:07,600 --> 01:11:10,200 Speaker 1: of allowing medicare to negotiate for better prices with the 1348 01:11:10,200 --> 01:11:13,680 Speaker 1: big drug companies. Actually, Candace had a perfect tweet a 1349 01:11:13,680 --> 01:11:17,679 Speaker 1: while back that encapsulated how this newfound pharma skepticism leads 1350 01:11:17,760 --> 01:11:20,719 Speaker 1: right wing personalities to walk right up to the edge 1351 01:11:21,080 --> 01:11:25,040 Speaker 1: of actually advocating for something that would be good. Quote. 1352 01:11:25,120 --> 01:11:27,880 Speaker 1: The COVID vaccine saves lives, which is why the government 1353 01:11:27,920 --> 01:11:30,920 Speaker 1: is making it free. Okay, So explain to me why 1354 01:11:30,920 --> 01:11:33,720 Speaker 1: insulin and asthma inhaler's cost so much money. If the 1355 01:11:33,800 --> 01:11:36,200 Speaker 1: vaccines are really about the government trying to save your life, 1356 01:11:36,360 --> 01:11:40,960 Speaker 1: why do you life saving vaccine medicines cost so much? Exactly, Candace, 1357 01:11:41,200 --> 01:11:44,760 Speaker 1: life saving medicines should be free. She then clarified that 1358 01:11:45,080 --> 01:11:48,360 Speaker 1: obviously she doesn't actually think life saving medicine should be free. 1359 01:11:48,479 --> 01:11:51,759 Speaker 1: Quote to me, clear, the argument here isn't that medicine 1360 01:11:51,760 --> 01:11:55,200 Speaker 1: should be free, She tweeted. I believe medicine should be affordable, 1361 01:11:55,240 --> 01:11:57,320 Speaker 1: and believe it would be if it weren't for the 1362 01:11:57,360 --> 01:12:00,000 Speaker 1: big farmer racket. If you've followed my work, you wouldn't 1363 01:12:00,120 --> 01:12:02,639 Speaker 1: know that I've always been a major supporter of lowering 1364 01:12:02,720 --> 01:12:04,840 Speaker 1: drug prices, and the best way to do that is 1365 01:12:04,880 --> 01:12:08,840 Speaker 1: to make prices transparent. Which Donald Trump fought for. In fact, 1366 01:12:09,000 --> 01:12:11,400 Speaker 1: pricing transparency is basically the only thing that any of 1367 01:12:11,400 --> 01:12:13,400 Speaker 1: these folks have been willing to support because Trump did it. 1368 01:12:13,560 --> 01:12:16,400 Speaker 1: And it's fine, sure, but is hardly a death knell 1369 01:12:16,439 --> 01:12:19,320 Speaker 1: for the big farmer racket. As Candace phrased it. We 1370 01:12:19,439 --> 01:12:24,040 Speaker 1: know this because pricing transparency passed and it was implemented, 1371 01:12:24,520 --> 01:12:28,479 Speaker 1: and it has not changed a goddamn thing. Insummation, we 1372 01:12:28,520 --> 01:12:31,040 Speaker 1: don't need you to die for your beliefs here, Candace, 1373 01:12:31,280 --> 01:12:34,800 Speaker 1: Big pharma will roll on perfectly fine whether or not 1374 01:12:35,040 --> 01:12:38,240 Speaker 1: you get the vaccine. Personally, what we need is for 1375 01:12:38,320 --> 01:12:41,360 Speaker 1: you to stand by a healthcare principle that actually threatens 1376 01:12:41,400 --> 01:12:45,599 Speaker 1: the profits of corporate America. Until then you gates, emptg 1377 01:12:45,920 --> 01:12:48,880 Speaker 1: all the rest. You're not owning the libs. Actually, you're 1378 01:12:48,960 --> 01:12:51,919 Speaker 1: kind of just like them. Virtue signaling to your audience 1379 01:12:52,040 --> 01:12:55,880 Speaker 1: in an emotionally satisfying way while helping to guarantee that 1380 01:12:56,040 --> 01:12:59,880 Speaker 1: nothing actually changes. And that's the thing that I realized, Sagur. 1381 01:13:00,080 --> 01:13:02,599 Speaker 1: It's like the right wing version of it. And if 1382 01:13:02,640 --> 01:13:05,400 Speaker 1: you want to hear my reaction to Crystal's monologue, become 1383 01:13:05,400 --> 01:13:11,920 Speaker 1: a Premium subscriber today at breakingpoints, Dot com joining us 1384 01:13:11,960 --> 01:13:14,280 Speaker 1: now to talk about a new piece that he wrote 1385 01:13:14,320 --> 01:13:18,200 Speaker 1: about potential intergenerational conflict with the direction of policies that 1386 01:13:18,240 --> 01:13:21,000 Speaker 1: we are pursuing here in the US. Is Philip Pilkington. 1387 01:13:21,120 --> 01:13:24,639 Speaker 1: He is an economist. He's also written a book critical 1388 01:13:24,680 --> 01:13:29,719 Speaker 1: of neoclassical economics called The Reformation in Economics. Welcome, thanks 1389 01:13:29,720 --> 01:13:32,720 Speaker 1: for having me. Yeah, our pleasure piece was very interesting 1390 01:13:32,920 --> 01:13:35,599 Speaker 1: and provocative, just laying out how the fact that we 1391 01:13:35,680 --> 01:13:40,320 Speaker 1: don't have population growth I'm certainly sufficient for replacement at 1392 01:13:40,320 --> 01:13:43,760 Speaker 1: this point could lead to intergenerational conflict. Just lay out 1393 01:13:43,760 --> 01:13:47,400 Speaker 1: the case that you're making here. Yeah, So I'm kind 1394 01:13:47,400 --> 01:13:49,200 Speaker 1: of making the case all of a book that was 1395 01:13:49,280 --> 01:13:52,519 Speaker 1: released recently and has got a lot of attention in 1396 01:13:52,640 --> 01:13:55,680 Speaker 1: economic policy circles and also in finance. I've worked in 1397 01:13:55,720 --> 01:13:57,880 Speaker 1: finance for about ten years, so I know kind of 1398 01:13:57,920 --> 01:14:01,439 Speaker 1: both scenes. It's a book by child Goodheart and another 1399 01:14:01,439 --> 01:14:04,760 Speaker 1: economist called Pratan, and they're making it. They're kind of 1400 01:14:05,439 --> 01:14:08,840 Speaker 1: laying out we've known for a long time that birth 1401 01:14:08,880 --> 01:14:12,000 Speaker 1: rates were becoming problematic, probably for about twenty years, and 1402 01:14:12,040 --> 01:14:13,960 Speaker 1: there I've long been debates about it. I know in 1403 01:14:13,960 --> 01:14:16,920 Speaker 1: America it's long been debated about social security and whether 1404 01:14:16,960 --> 01:14:21,400 Speaker 1: it can maintain it's solvency. But this book kind of 1405 01:14:21,479 --> 01:14:26,120 Speaker 1: was talking about more of the kind of real forces 1406 01:14:26,160 --> 01:14:28,080 Speaker 1: that most people would face, and I thought it was 1407 01:14:28,120 --> 01:14:31,439 Speaker 1: the first time that economists had actually tried to think 1408 01:14:31,479 --> 01:14:33,320 Speaker 1: through what it would be like to live in a 1409 01:14:33,360 --> 01:14:38,040 Speaker 1: world that has serious problems with population growth. And although 1410 01:14:38,080 --> 01:14:40,200 Speaker 1: the book is very good and I much recommend it, 1411 01:14:40,200 --> 01:14:43,920 Speaker 1: it is a technical macroeconomics book, and it focused really 1412 01:14:43,960 --> 01:14:46,960 Speaker 1: on the technicals, and I thought that there was a 1413 01:14:47,000 --> 01:14:48,760 Speaker 1: case to be made to try and write an essay 1414 01:14:48,800 --> 01:14:51,439 Speaker 1: about that kind of imagining what that would look like 1415 01:14:52,240 --> 01:14:55,400 Speaker 1: through a political economy lands. And I think when you 1416 01:14:55,439 --> 01:14:59,760 Speaker 1: think about it, what we're probably facing down and I mean, 1417 01:15:00,160 --> 01:15:02,920 Speaker 1: I mean it's our generation, it's it's Gen x's, and 1418 01:15:03,040 --> 01:15:05,919 Speaker 1: millennials will be the first I think to really experience 1419 01:15:05,920 --> 01:15:10,120 Speaker 1: this as we age, is that there won't be there 1420 01:15:10,120 --> 01:15:13,439 Speaker 1: won't be enough people effectively to man the machines as 1421 01:15:14,000 --> 01:15:16,800 Speaker 1: people get older, and this means that they'll be vast 1422 01:15:16,920 --> 01:15:22,519 Speaker 1: that they'll be reasonably large resource constraints on economies, and 1423 01:15:22,600 --> 01:15:25,240 Speaker 1: we'll have to share it between the people who work, 1424 01:15:25,320 --> 01:15:29,559 Speaker 1: the younger people and the older people, and that extends 1425 01:15:29,560 --> 01:15:32,639 Speaker 1: from a bouth consumption goods, but also to ownership of things, 1426 01:15:32,720 --> 01:15:35,680 Speaker 1: especially property, but also stocks and bonds and so on. 1427 01:15:35,960 --> 01:15:38,679 Speaker 1: And I just in the piece, I kind of try 1428 01:15:38,680 --> 01:15:41,920 Speaker 1: to imagine what that would what that would entail, And 1429 01:15:41,960 --> 01:15:44,320 Speaker 1: the conclusion I come to is it has to generate 1430 01:15:44,640 --> 01:15:48,840 Speaker 1: pretty severe intergenerational conflut. Yeah, yeah, I'm reading here. Quote. 1431 01:15:48,920 --> 01:15:51,120 Speaker 1: Imagine in fifty years, we've reached the point where the 1432 01:15:51,240 --> 01:15:54,439 Speaker 1: rapidly aging population of the wealthy West is distorting economic life. 1433 01:15:54,439 --> 01:15:56,639 Speaker 1: If the young decide they want to solve this problem, 1434 01:15:56,640 --> 01:15:59,200 Speaker 1: what are their options. Put brutally, the only way the 1435 01:15:59,280 --> 01:16:01,960 Speaker 1: young could gain work control over resources and assets is 1436 01:16:01,960 --> 01:16:06,840 Speaker 1: through forcible confiscation or worse, termination of the elderly. In 1437 01:16:06,880 --> 01:16:09,519 Speaker 1: some of the societies where we see this already in 1438 01:16:09,520 --> 01:16:12,200 Speaker 1: the year twenty twenty two at the most extreme, like 1439 01:16:12,240 --> 01:16:14,960 Speaker 1: in Japan and more, are we seeing some of these 1440 01:16:15,000 --> 01:16:18,880 Speaker 1: predictions kind of come to light, Philip No, Japan is 1441 01:16:18,920 --> 01:16:23,040 Speaker 1: a funny one because it's the first country to experience 1442 01:16:23,240 --> 01:16:28,840 Speaker 1: the aging, it experienced it earlier than other countries, and 1443 01:16:29,400 --> 01:16:32,599 Speaker 1: it's actually had the opposite impact. And so this has 1444 01:16:32,720 --> 01:16:35,200 Speaker 1: long been this has been the debate against the book 1445 01:16:35,240 --> 01:16:37,599 Speaker 1: that I'm talking about. But people say, well, look so 1446 01:16:37,640 --> 01:16:43,760 Speaker 1: the book predicts, for example, inflation, asset market inflation, just 1447 01:16:43,960 --> 01:16:48,320 Speaker 1: very uncomfortable economic dynamics. Japan has seen the opposite of that. 1448 01:16:48,439 --> 01:16:52,200 Speaker 1: Now it hasn't been positive. Japan has known turning Japanese 1449 01:16:52,280 --> 01:16:55,519 Speaker 1: in finance and economics speak, tends to mean stagnation. So 1450 01:16:55,640 --> 01:16:59,200 Speaker 1: Japan has been experiencing the growth stagnation that we'd expect 1451 01:16:59,240 --> 01:17:02,040 Speaker 1: because they're just aren't enough people to man the machines 1452 01:17:02,080 --> 01:17:05,040 Speaker 1: and buy things. So the growth stagnation is there. Japan 1453 01:17:05,080 --> 01:17:08,000 Speaker 1: hasn't really grown that much for about twenty years, but 1454 01:17:08,120 --> 01:17:11,559 Speaker 1: we haven't seen the inflation. That is very specific to 1455 01:17:11,640 --> 01:17:16,360 Speaker 1: the Japanese economic system. It's because effectively, young people are 1456 01:17:16,400 --> 01:17:20,160 Speaker 1: willing to accept wages that don't grow in Japan. Now, 1457 01:17:20,360 --> 01:17:23,080 Speaker 1: why that is, technically speaking, it's because they're paid on 1458 01:17:23,160 --> 01:17:26,400 Speaker 1: bonus systems. Anyone who receives a salary in Japan is 1459 01:17:26,400 --> 01:17:30,000 Speaker 1: effectively paid like a financier here in the West, which 1460 01:17:30,040 --> 01:17:32,639 Speaker 1: is a good portion maybe forty percent of their pay 1461 01:17:32,680 --> 01:17:34,240 Speaker 1: comes as a bonus at the end of the year. 1462 01:17:34,479 --> 01:17:37,280 Speaker 1: That means that when times aren't good and when the 1463 01:17:37,320 --> 01:17:40,200 Speaker 1: growth slows, they don't get an increase in wages. So 1464 01:17:40,439 --> 01:17:42,599 Speaker 1: from a technical point of view, we do not have 1465 01:17:42,640 --> 01:17:45,479 Speaker 1: that wage flexibility in our economies. Do we want it? 1466 01:17:45,520 --> 01:17:49,639 Speaker 1: Probably not? But also I just don't think Westerners would 1467 01:17:49,720 --> 01:17:52,880 Speaker 1: accept that. I think that there's more risk. There's a 1468 01:17:52,960 --> 01:17:55,640 Speaker 1: kind of culture of respect for elders in Japan that 1469 01:17:55,720 --> 01:17:57,240 Speaker 1: I don't think we have in the West, and so 1470 01:17:57,320 --> 01:18:00,000 Speaker 1: I don't think we'll get away with over wage soprise. 1471 01:18:00,640 --> 01:18:03,839 Speaker 1: So short answer, they are experiencing problems, but they're slightly 1472 01:18:03,880 --> 01:18:07,160 Speaker 1: different problems from what we're experiencing what we will experience. 1473 01:18:07,200 --> 01:18:11,559 Speaker 1: Probably you had a part in here that I thought 1474 01:18:11,600 --> 01:18:13,920 Speaker 1: was really interesting that I hadn't thought of before. You 1475 01:18:13,960 --> 01:18:19,639 Speaker 1: say the capitalist system discourages family formation and fertility. Can 1476 01:18:19,680 --> 01:18:22,320 Speaker 1: you just lay out the sort of rationale behind that 1477 01:18:22,439 --> 01:18:26,240 Speaker 1: or why you argue that. Yeah, I mean, the capitalism 1478 01:18:26,479 --> 01:18:29,519 Speaker 1: is a great system for making and distributing stuff. It 1479 01:18:29,560 --> 01:18:33,360 Speaker 1: will make and distribute stuff as much as it possibly 1480 01:18:33,439 --> 01:18:35,800 Speaker 1: can because a profit motive is there for you to 1481 01:18:35,840 --> 01:18:38,200 Speaker 1: make and distribute that stuff and you can make money 1482 01:18:38,200 --> 01:18:41,960 Speaker 1: out of it. Capitalism doesn't innately care about the human 1483 01:18:42,040 --> 01:18:45,600 Speaker 1: capital that it is formed on top of. So for 1484 01:18:45,640 --> 01:18:49,720 Speaker 1: the capitalist system, the ideal human in a sense is 1485 01:18:49,840 --> 01:18:52,439 Speaker 1: a worker consumer, somebody who goes to work as much 1486 01:18:52,439 --> 01:18:55,680 Speaker 1: as possible, produces as many things as possible, and then 1487 01:18:55,720 --> 01:18:57,559 Speaker 1: goes to the shop and buys those things as much 1488 01:18:57,600 --> 01:19:01,600 Speaker 1: as possible. That person, increasingly it looks like, probably as 1489 01:19:01,640 --> 01:19:05,280 Speaker 1: a single individual rather than a family unit. There's many 1490 01:19:05,280 --> 01:19:07,560 Speaker 1: different reasons for that. You can use your own imagination, 1491 01:19:07,680 --> 01:19:09,719 Speaker 1: but just the fact that you have to work so much, 1492 01:19:10,120 --> 01:19:13,519 Speaker 1: or that your entire personal life in a sense becomes 1493 01:19:13,560 --> 01:19:17,559 Speaker 1: so revolving around consumption, earning and spending, it seems to 1494 01:19:17,600 --> 01:19:22,120 Speaker 1: discourage the formation of families. The problem is the capitalism 1495 01:19:22,680 --> 01:19:25,799 Speaker 1: relies on that human capital, It relies on a growing 1496 01:19:25,960 --> 01:19:29,439 Speaker 1: labor force. It needs it to sustain itself. But of 1497 01:19:29,439 --> 01:19:33,719 Speaker 1: course capitalism isn't conscious of itself. It's just people making 1498 01:19:33,760 --> 01:19:36,679 Speaker 1: decisions about trying to make profit, or trying to work more, 1499 01:19:36,800 --> 01:19:39,920 Speaker 1: or trying to consume more or whatever. So it's not 1500 01:19:40,400 --> 01:19:44,000 Speaker 1: capitalism can think about the threats that it poses to itself. 1501 01:19:44,040 --> 01:19:47,760 Speaker 1: It almost I joke sometimes that this is kind of 1502 01:19:47,280 --> 01:19:50,200 Speaker 1: what Karl Marx should have been looking at. He always 1503 01:19:50,200 --> 01:19:52,880 Speaker 1: thought that there were contradictions in capitalism, and he thought, 1504 01:19:52,920 --> 01:19:56,200 Speaker 1: for example, rates of profit would fall and overproduction would 1505 01:19:56,280 --> 01:19:58,040 Speaker 1: do this and that, and some of the things he 1506 01:19:58,080 --> 01:20:00,360 Speaker 1: said were true, and most of them weren't. But this 1507 01:20:00,560 --> 01:20:03,800 Speaker 1: is a real contradiction to capitalism. If the end point 1508 01:20:03,880 --> 01:20:06,840 Speaker 1: or t lose of capitalism is to have everybody turned 1509 01:20:06,840 --> 01:20:10,000 Speaker 1: into a hyper worker, hyper consumer who doesn't spend time 1510 01:20:10,080 --> 01:20:13,439 Speaker 1: raising a family, then capitalism will lead itself. Right. And 1511 01:20:13,520 --> 01:20:16,000 Speaker 1: now here's the question, though, is there anything that can 1512 01:20:16,040 --> 01:20:18,640 Speaker 1: be done about it? Because you know, I look a 1513 01:20:18,640 --> 01:20:20,240 Speaker 1: lot of people here in the right they like to 1514 01:20:20,240 --> 01:20:22,800 Speaker 1: talk about Hungary. I mean, yeah, they increase their birth 1515 01:20:22,840 --> 01:20:24,880 Speaker 1: rate from like one point two to one point seven. 1516 01:20:24,960 --> 01:20:27,439 Speaker 1: I'm not saying that's bad, but they threw the kitchen 1517 01:20:27,439 --> 01:20:29,760 Speaker 1: sink at it in terms of their economy, and it's 1518 01:20:29,800 --> 01:20:32,320 Speaker 1: a very different country too, in terms of their demographics, 1519 01:20:32,479 --> 01:20:35,439 Speaker 1: what they're willing to accept social spending and more. Is 1520 01:20:35,479 --> 01:20:37,559 Speaker 1: it possible in the West in order to reverse this 1521 01:20:37,640 --> 01:20:39,839 Speaker 1: trend at all? Philip am I just being too cynical. 1522 01:20:41,000 --> 01:20:43,640 Speaker 1: You are right that Hungary is the only place that 1523 01:20:43,720 --> 01:20:47,519 Speaker 1: has managed to, through policy, increase its birth rate. It 1524 01:20:47,600 --> 01:20:51,559 Speaker 1: was from a low base. Theist communism destroyed family formation 1525 01:20:51,640 --> 01:20:54,040 Speaker 1: a lot quicker than capitalism did. They both seem to 1526 01:20:54,160 --> 01:20:57,439 Speaker 1: put communism, how to conserve it effort. The post communist 1527 01:20:57,439 --> 01:21:00,759 Speaker 1: countries tended to very low birth rates, Sohungary was starting 1528 01:21:00,760 --> 01:21:04,040 Speaker 1: from a low base, but they increased thirty percent, and 1529 01:21:04,080 --> 01:21:05,920 Speaker 1: that is not to be sniffed at. And I also 1530 01:21:05,960 --> 01:21:09,000 Speaker 1: would highlight that while the birth rate increased thirty percent, 1531 01:21:09,040 --> 01:21:12,320 Speaker 1: the marriage rate increased even more. And I think that 1532 01:21:12,840 --> 01:21:16,519 Speaker 1: encouraging people to get married is probably is probably the 1533 01:21:16,560 --> 01:21:19,040 Speaker 1: first staff here. I mean, if you look at statistics 1534 01:21:19,080 --> 01:21:22,440 Speaker 1: now for people born in the nineteen eighties and nineteen nineties, 1535 01:21:22,680 --> 01:21:27,160 Speaker 1: it looks like best case scenario, only fifty to sixty 1536 01:21:27,200 --> 01:21:29,800 Speaker 1: percent of those people are going to get married even once. 1537 01:21:30,000 --> 01:21:33,040 Speaker 1: So even married and divorced, only fifty to sixty percent. 1538 01:21:33,080 --> 01:21:35,920 Speaker 1: That's down on eighty to ninety percent for the previous 1539 01:21:35,920 --> 01:21:38,960 Speaker 1: two generations, for the Baby boomers and and the World 1540 01:21:39,000 --> 01:21:41,960 Speaker 1: War two generation. So is there anything to do about it? 1541 01:21:41,960 --> 01:21:44,479 Speaker 1: I mean, you're right, Hungary has thrown the kitchen sink 1542 01:21:44,520 --> 01:21:47,720 Speaker 1: at it. They've been very aggressive. They spent a lot 1543 01:21:47,760 --> 01:21:50,559 Speaker 1: on this, but they have seen some success. So that 1544 01:21:50,600 --> 01:21:53,760 Speaker 1: does give hope. Now, one thing I would cancel is 1545 01:21:54,160 --> 01:21:57,280 Speaker 1: there are more left wing attempts that have been attempted 1546 01:21:57,320 --> 01:21:59,280 Speaker 1: at this for a very long time, so it's not 1547 01:21:59,280 --> 01:22:02,479 Speaker 1: widely known, but Sweden since the nineteen sixties has been 1548 01:22:02,560 --> 01:22:07,040 Speaker 1: run running pro natal policies. The foundation of Swedish social democracy. 1549 01:22:07,040 --> 01:22:09,599 Speaker 1: It was an economist called Gunner Myrtle and his wife 1550 01:22:09,680 --> 01:22:13,040 Speaker 1: were promoting natal policies beginning in the early sixties, and 1551 01:22:13,080 --> 01:22:17,559 Speaker 1: these were things like childcare, state childcare, more socialist solutions 1552 01:22:17,560 --> 01:22:20,599 Speaker 1: to the problem. They have not worked. Sweden has had 1553 01:22:20,680 --> 01:22:23,439 Speaker 1: lower rates, lower birth rates than the US for most 1554 01:22:23,439 --> 01:22:25,679 Speaker 1: of the time and currently sits at the same birth rate. 1555 01:22:26,040 --> 01:22:30,360 Speaker 1: So if there is a solution, it really seems more 1556 01:22:30,400 --> 01:22:33,759 Speaker 1: to be the Hungarian solution rather than the Swedish solution. 1557 01:22:34,080 --> 01:22:37,080 Speaker 1: Will either of them work? I don't know. And so 1558 01:22:37,320 --> 01:22:39,840 Speaker 1: the other thing that you dismiss in the piece, which 1559 01:22:39,880 --> 01:22:42,760 Speaker 1: is an obvious solution if you need more people to 1560 01:22:42,840 --> 01:22:45,880 Speaker 1: have a vibrant society and not have this intergenerational conflict, 1561 01:22:46,240 --> 01:22:49,160 Speaker 1: is increased levels of immigration. And you say that that 1562 01:22:49,479 --> 01:22:53,320 Speaker 1: turns out to be politically destabilizing, But does that always 1563 01:22:53,320 --> 01:22:55,840 Speaker 1: have to be the case. I mean, certainly in America 1564 01:22:55,920 --> 01:22:58,720 Speaker 1: we've had a lot of waves of immigrants and that's 1565 01:22:58,800 --> 01:23:02,479 Speaker 1: led to tension at times. Ultimately people are absorbed and 1566 01:23:02,600 --> 01:23:05,559 Speaker 1: the country has been sort of strengthened and made very 1567 01:23:05,640 --> 01:23:08,280 Speaker 1: vital by the different waves of immigration that we have, 1568 01:23:08,400 --> 01:23:10,000 Speaker 1: and even now when we've had a lot of very 1569 01:23:10,000 --> 01:23:13,160 Speaker 1: fraught conversations about immigration here, I just looked up the 1570 01:23:13,240 --> 01:23:16,080 Speaker 1: data data for progress Pole recently found sixty nine percent 1571 01:23:16,120 --> 01:23:19,200 Speaker 1: of people support a pathway to citizenship. So is it 1572 01:23:19,240 --> 01:23:22,040 Speaker 1: in fact inevitable that immigration is going to lead to 1573 01:23:22,160 --> 01:23:25,920 Speaker 1: political instability and is not a potential pathway forward to 1574 01:23:26,160 --> 01:23:31,000 Speaker 1: solving the issue that you identify here. Well, one thing 1575 01:23:31,120 --> 01:23:33,960 Speaker 1: is that immigration will not solve the problem alone. The 1576 01:23:34,760 --> 01:23:37,719 Speaker 1: problem is that when the immigrants come to the western 1577 01:23:38,160 --> 01:23:41,519 Speaker 1: highly developed, Western wealthy societies, they, as you say, they 1578 01:23:41,560 --> 01:23:43,920 Speaker 1: integrate to a large extent into those societies and their 1579 01:23:43,920 --> 01:23:48,960 Speaker 1: birth rates. For so the immigration has staved off population 1580 01:23:49,200 --> 01:23:52,280 Speaker 1: growth decline. Population in the United States, for example, is 1581 01:23:52,320 --> 01:23:55,280 Speaker 1: still growing mainly due to immigration, but it does not 1582 01:23:55,439 --> 01:23:58,599 Speaker 1: solve the problem of an aging population. Even though population 1583 01:23:58,720 --> 01:24:01,880 Speaker 1: is still growing in the US, the population continues to age, 1584 01:24:02,120 --> 01:24:05,240 Speaker 1: and that's because when immigrants come in from Central America 1585 01:24:05,280 --> 01:24:08,960 Speaker 1: and Southern America, they adapt to the new surroundings and 1586 01:24:09,000 --> 01:24:11,760 Speaker 1: they lower their birth rate. So number one, I would 1587 01:24:11,760 --> 01:24:14,719 Speaker 1: say it does not. Actually, it does help in terms 1588 01:24:14,760 --> 01:24:18,960 Speaker 1: of perpetuating economic growth, and it definitely helps in terms 1589 01:24:19,000 --> 01:24:21,040 Speaker 1: of population growth, but it does not help in terms 1590 01:24:21,080 --> 01:24:23,320 Speaker 1: of the aging structure, which is kind of the core, 1591 01:24:23,680 --> 01:24:25,800 Speaker 1: the core thing that I'm getting at in the essay. 1592 01:24:25,840 --> 01:24:28,960 Speaker 1: In terms of political tension, I mean, I'm sure we 1593 01:24:29,040 --> 01:24:31,120 Speaker 1: all have our I'm trying to be as objective as 1594 01:24:31,120 --> 01:24:33,559 Speaker 1: possible about this. The tensions that immigration has brought in 1595 01:24:33,640 --> 01:24:37,680 Speaker 1: Europe have been profound. Absolutely not. There is no politics 1596 01:24:37,680 --> 01:24:40,639 Speaker 1: in Europe that isn't immigration focused. All the headlines from 1597 01:24:40,720 --> 01:24:45,479 Speaker 1: Eric Zamore in France now competing with lapenn because there's 1598 01:24:45,479 --> 01:24:48,160 Speaker 1: so much demand for this kind of rhetoric. To Sweden 1599 01:24:48,360 --> 01:24:51,920 Speaker 1: that I mentioned that have been pronatals since the nineteen sixties, 1600 01:24:52,080 --> 01:24:54,880 Speaker 1: the entire Conservative Party in Sweden has been demolished and 1601 01:24:54,920 --> 01:24:57,760 Speaker 1: the Sweden Democrats know are in charge. This trend is 1602 01:24:57,800 --> 01:25:00,479 Speaker 1: absolutely everywhere in Europe. Brexit in the UK, where I 1603 01:25:00,560 --> 01:25:03,840 Speaker 1: am was clearly driven partly by onto immigrant sentiment, and 1604 01:25:03,880 --> 01:25:07,520 Speaker 1: I think in the US probably the the somewhat devisive 1605 01:25:07,560 --> 01:25:11,400 Speaker 1: presidency of Donald Trump was in part due to this immigration. 1606 01:25:11,640 --> 01:25:15,599 Speaker 1: And but I will say that, you know, I don't 1607 01:25:15,600 --> 01:25:17,800 Speaker 1: think that those things I'm going to speak to the 1608 01:25:17,840 --> 01:25:20,879 Speaker 1: American context because it's what I know the most about 1609 01:25:20,920 --> 01:25:24,200 Speaker 1: and put Europe to the side for the moment. But again, 1610 01:25:24,320 --> 01:25:27,599 Speaker 1: even with Donald Trump, I think you're right tapping into 1611 01:25:28,000 --> 01:25:32,160 Speaker 1: this anti immigrant sentiment, making, you know, immigrants the scapegoats 1612 01:25:32,160 --> 01:25:35,680 Speaker 1: of what ultimately has been a failed policy of neoliberalism 1613 01:25:35,760 --> 01:25:38,960 Speaker 1: that has created this mass inequality and made an underclass 1614 01:25:39,000 --> 01:25:43,280 Speaker 1: that is so desperate. Even with that factory, you still 1615 01:25:43,320 --> 01:25:47,560 Speaker 1: have the overwhelming majority of people supporting a pathway to citizenship, 1616 01:25:47,640 --> 01:25:51,240 Speaker 1: believing that immigrants contribute more good than harm and society. 1617 01:25:51,320 --> 01:25:54,000 Speaker 1: So even at a time when people have been incredibly 1618 01:25:54,680 --> 01:25:58,360 Speaker 1: stressed by you know, the financial catastrophe and the fallout 1619 01:25:58,400 --> 01:26:01,439 Speaker 1: from that and these roiling politics, you still have a 1620 01:26:01,640 --> 01:26:05,240 Speaker 1: mass majority sentiment in favor of the benefits of immigration. 1621 01:26:06,240 --> 01:26:10,160 Speaker 1: Within the American context, that could be the case, but 1622 01:26:10,360 --> 01:26:14,679 Speaker 1: the the sizable minority that doesn't like it get very angry, 1623 01:26:14,720 --> 01:26:16,280 Speaker 1: and I think that's the cause of a lot of 1624 01:26:16,280 --> 01:26:19,000 Speaker 1: political division and a lot of political tension. The other 1625 01:26:19,040 --> 01:26:21,720 Speaker 1: problem that I see in the American polls is that 1626 01:26:21,840 --> 01:26:26,560 Speaker 1: recent immigrants don't seem to be very favorable to more immigrants, 1627 01:26:26,640 --> 01:26:30,360 Speaker 1: and so it seems that the more the more immigrants 1628 01:26:30,400 --> 01:26:32,839 Speaker 1: you bring in, the less support you'll have for immigration. 1629 01:26:32,920 --> 01:26:35,519 Speaker 1: It seems paradoxical, but it seems to be the case. 1630 01:26:35,720 --> 01:26:38,360 Speaker 1: I Mean, my baseline assumption is just there are natural 1631 01:26:38,400 --> 01:26:42,000 Speaker 1: limits on how much immigration you can have. You can 1632 01:26:42,040 --> 01:26:44,679 Speaker 1: have quite a bit of immigration. I'm not particularly anti 1633 01:26:44,720 --> 01:26:48,400 Speaker 1: immigration personally, but there are there do seem to be 1634 01:26:48,439 --> 01:26:51,080 Speaker 1: political and social limits to it, and there are also 1635 01:26:51,240 --> 01:26:55,439 Speaker 1: problems with with with with job allocation and funding well 1636 01:26:55,479 --> 01:26:59,080 Speaker 1: for payments and so on. So I'm just highlighting the 1637 01:26:59,120 --> 01:27:02,160 Speaker 1: fact that number one, it doesn't solve the aging problem 1638 01:27:02,200 --> 01:27:05,120 Speaker 1: because the immigrants adapt. And number two, I think there 1639 01:27:05,200 --> 01:27:08,320 Speaker 1: is reason to believe that even if majority is still 1640 01:27:08,360 --> 01:27:10,880 Speaker 1: supported in America, I'm not I think that's changing in 1641 01:27:10,920 --> 01:27:14,320 Speaker 1: Europe and it may change in America. And I think 1642 01:27:14,400 --> 01:27:16,920 Speaker 1: it's I think the minority that doesn't support it is 1643 01:27:17,479 --> 01:27:20,320 Speaker 1: getting increasingly agitated, and I don't think that's good for 1644 01:27:20,360 --> 01:27:22,679 Speaker 1: politicals to build it. I think that's fair. Well, there's 1645 01:27:22,720 --> 01:27:25,080 Speaker 1: always going to be a lot of political conflict around 1646 01:27:25,080 --> 01:27:28,040 Speaker 1: anything we do, whether it's family formation, policies or levels 1647 01:27:28,040 --> 01:27:30,680 Speaker 1: of immigration. I think that is sort of inevitable. But 1648 01:27:30,720 --> 01:27:33,640 Speaker 1: if you have policies that make sure that people you 1649 01:27:33,680 --> 01:27:37,160 Speaker 1: know are basically okay and feel secure in their own lives, 1650 01:27:37,160 --> 01:27:39,080 Speaker 1: then they're going to be less susceptible to the type 1651 01:27:39,080 --> 01:27:41,920 Speaker 1: of scapegoating politics that we have seen. But I think 1652 01:27:41,960 --> 01:27:44,360 Speaker 1: the piece is really interesting. I think people should read it. 1653 01:27:44,360 --> 01:27:46,680 Speaker 1: It's very provocative and I really appreciate you coming on 1654 01:27:46,760 --> 01:27:49,519 Speaker 1: and taking the time to explain it. Thanks Bill, Thanks 1655 01:27:49,640 --> 01:27:53,400 Speaker 1: very much our pleasure. Thank you guys so much for watching. 1656 01:27:53,520 --> 01:27:55,599 Speaker 1: Really appreciate it was a fun show today. I really 1657 01:27:55,680 --> 01:27:59,719 Speaker 1: enjoyed it. Just look, we are in current discussions about 1658 01:27:59,760 --> 01:28:01,120 Speaker 1: how which we can build the show. All of that. 1659 01:28:01,160 --> 01:28:03,040 Speaker 1: I no say it, but you know things are coming. 1660 01:28:03,280 --> 01:28:05,320 Speaker 1: It's gonna be big. We obviously have the it's twenty 1661 01:28:05,320 --> 01:28:07,400 Speaker 1: twenty two, we have the midterms coming up, so we're 1662 01:28:07,400 --> 01:28:09,760 Speaker 1: looking at expanding. We appreciate your support. There's a link 1663 01:28:09,800 --> 01:28:12,120 Speaker 1: down there in the description. And we can't appreciate you 1664 01:28:12,160 --> 01:28:14,200 Speaker 1: guys enough. Thank you, guys, We love you. We'll see 1665 01:28:14,200 --> 01:29:41,680 Speaker 1: you back here tomorrow. Stop