1 00:00:00,320 --> 00:00:03,400 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:03,480 --> 00:00:05,920 Speaker 1: it impossible to function as a society and to know 3 00:00:05,960 --> 00:00:08,720 Speaker 1: what is true and what is false. The good news 4 00:00:08,800 --> 00:00:10,840 Speaker 1: is that they're failing and they know it. That is 5 00:00:10,840 --> 00:00:14,840 Speaker 1: why we're building something new. Be part of creating a new, better, healthier, 6 00:00:14,880 --> 00:00:17,960 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:17,960 --> 00:00:21,520 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:21,560 --> 00:00:23,400 Speaker 1: is going to help us build for the midterms and 9 00:00:23,440 --> 00:00:27,400 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:27,400 --> 00:00:28,640 Speaker 1: of what is sure to be one of the most 11 00:00:28,640 --> 00:00:32,320 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:32,520 --> 00:00:54,120 Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody, 13 00:00:54,200 --> 00:00:56,360 Speaker 1: Happy Thursday. We have an amazing show for everybody today. 14 00:00:56,360 --> 00:00:58,840 Speaker 1: What do we have, Crystal? Indeed, we do lots of 15 00:00:58,880 --> 00:01:01,920 Speaker 1: interesting stories that we are digging into this morning. So 16 00:01:02,040 --> 00:01:06,240 Speaker 1: a major admission from the CDC about just how badly 17 00:01:06,480 --> 00:01:10,280 Speaker 1: they screwed up coronavirus. They are also now screwing up 18 00:01:10,319 --> 00:01:12,880 Speaker 1: monkey pocks. So clearly they didn't really learn their lessons 19 00:01:12,880 --> 00:01:15,680 Speaker 1: from the first time, but pretty interesting to dig into 20 00:01:15,800 --> 00:01:18,479 Speaker 1: their own analysis of what went wrong. And what needs 21 00:01:18,480 --> 00:01:21,680 Speaker 1: to change. We'll break all of that down for you. Also, 22 00:01:21,760 --> 00:01:24,760 Speaker 1: some new details about that search at mar A Lago, 23 00:01:25,680 --> 00:01:29,360 Speaker 1: some reporting indicating that this has to do with Russiagate documents. 24 00:01:29,440 --> 00:01:32,080 Speaker 1: It always does does, always comes back to Russia in 25 00:01:32,200 --> 00:01:34,200 Speaker 1: the end, doesn't it. All things come from there, So 26 00:01:34,720 --> 00:01:37,640 Speaker 1: we'll talk to you about that reporting and everything that's 27 00:01:37,680 --> 00:01:41,280 Speaker 1: going on there. Also, as we brought you yesterday, Liz 28 00:01:41,400 --> 00:01:45,800 Speaker 1: Cheney was in fact defeated really in quite a landslide 29 00:01:45,920 --> 00:01:49,040 Speaker 1: in her state there of Wyoming. She is now floating 30 00:01:49,040 --> 00:01:52,720 Speaker 1: a presidential run, and of course we had many cringe 31 00:01:52,800 --> 00:01:54,880 Speaker 1: takes from the media that we have to bring you 32 00:01:54,960 --> 00:01:58,120 Speaker 1: as well. So some updates for you there. Also, Jared 33 00:01:58,200 --> 00:02:01,200 Speaker 1: Kushner has a new book coming out. I know you 34 00:02:01,200 --> 00:02:04,600 Speaker 1: guys are all very excited, and it is already being 35 00:02:04,880 --> 00:02:08,800 Speaker 1: panned in spectacular fashion, like across the spectrum from the 36 00:02:08,919 --> 00:02:13,680 Speaker 1: Right to the Times. So it's we've got some details 37 00:02:13,680 --> 00:02:17,440 Speaker 1: for you there as well. And Rachel Maddow's replacement, Alex Wagner, 38 00:02:17,840 --> 00:02:21,840 Speaker 1: launched her show official debut, had some teleprompter problems there 39 00:02:21,880 --> 00:02:24,320 Speaker 1: at the front, and we have some updates for you 40 00:02:24,400 --> 00:02:27,400 Speaker 1: in terms of the ratings. Also, very excited bringing back 41 00:02:27,440 --> 00:02:30,960 Speaker 1: a little panel action today. Ryan Grimm and Emiline Tashinski 42 00:02:31,040 --> 00:02:33,360 Speaker 1: are going to join us remotely to break down some 43 00:02:33,400 --> 00:02:35,840 Speaker 1: of the latest polls in the midterms, and we had 44 00:02:35,880 --> 00:02:38,160 Speaker 1: to check from them on everything that they are looking 45 00:02:38,200 --> 00:02:41,680 Speaker 1: at and thinking about before we jump into the show. 46 00:02:42,360 --> 00:02:46,040 Speaker 1: Live Show Live Show tickets on sale September sixteenth. I 47 00:02:46,080 --> 00:02:48,800 Speaker 1: feel like I'm going to go mad selling these tickets 48 00:02:48,880 --> 00:02:52,320 Speaker 1: all right Center Stage Theater, Atlanta, sixteenth of September, seven 49 00:02:52,360 --> 00:02:55,920 Speaker 1: thirty pm Standard time. We will be there on Friday. 50 00:02:55,960 --> 00:02:57,680 Speaker 1: It's going to be a fun time. Everybody can come out. 51 00:02:57,680 --> 00:02:59,280 Speaker 1: We'll have a great time. We'll have a great show 52 00:02:59,440 --> 00:03:01,680 Speaker 1: for everybody. Go ahead and buy your tickets. Less than 53 00:03:01,720 --> 00:03:04,440 Speaker 1: a month out. We are already planning travel and we're 54 00:03:04,480 --> 00:03:06,519 Speaker 1: finalizing some of the plans there for the show. So 55 00:03:06,560 --> 00:03:09,080 Speaker 1: go ahead and buy those tickets for the premium members. 56 00:03:09,400 --> 00:03:11,200 Speaker 1: As we had discussed, we are going to be sending 57 00:03:11,200 --> 00:03:14,440 Speaker 1: out those two things. Also, I'm aware of the fact 58 00:03:14,480 --> 00:03:18,400 Speaker 1: that our email delivery system is not working as well 59 00:03:18,440 --> 00:03:21,680 Speaker 1: as originally promised. We're working on that. Tell us today. 60 00:03:21,720 --> 00:03:24,600 Speaker 1: If it doesn't come faster, We're piloting a few different 61 00:03:24,600 --> 00:03:26,480 Speaker 1: programs and we're going to figure it out, always paying 62 00:03:26,520 --> 00:03:28,880 Speaker 1: attention to you guys, But let's go ahead and start 63 00:03:29,040 --> 00:03:30,480 Speaker 1: with the show. And let's throw this up there on 64 00:03:30,520 --> 00:03:32,880 Speaker 1: the screen from the CDC. So you guys might have 65 00:03:32,919 --> 00:03:35,840 Speaker 1: seen that the CDC reverse direction. But I actually think 66 00:03:35,880 --> 00:03:38,240 Speaker 1: in the context of what it was announced yesterday, we 67 00:03:38,280 --> 00:03:43,160 Speaker 1: are seeing a monumental self assessment happening at our nation's 68 00:03:43,280 --> 00:03:46,680 Speaker 1: major public health agency, Which is that the director of 69 00:03:46,720 --> 00:03:50,840 Speaker 1: the CDC, Rachelle Wollinski, saying that the botched pandemic response, 70 00:03:50,960 --> 00:03:54,400 Speaker 1: is calling for a full scale reorganization. Now, personally, I 71 00:03:54,440 --> 00:03:57,520 Speaker 1: don't think that even goes far enough. But the fact 72 00:03:57,600 --> 00:04:01,080 Speaker 1: that the public health authorities twenty six months or so 73 00:04:01,400 --> 00:04:05,760 Speaker 1: into the pandemic are basically admitting that they dramatically screwed 74 00:04:05,840 --> 00:04:11,240 Speaker 1: up both performance, messaging, so many different basic elements from 75 00:04:11,280 --> 00:04:14,800 Speaker 1: the beginning all the way really up until today, is remarkable. 76 00:04:14,840 --> 00:04:18,760 Speaker 1: And they led an internal or a reorganization and Assessment 77 00:04:18,800 --> 00:04:21,520 Speaker 1: Panel Crystal, which was actually chaired by some people with 78 00:04:21,640 --> 00:04:24,440 Speaker 1: the Department of Health and the CDC, with interviews of 79 00:04:24,440 --> 00:04:26,960 Speaker 1: over one hundred and twenty people inside and outside of 80 00:04:27,000 --> 00:04:30,159 Speaker 1: the agency. And it is remarkable what even these people 81 00:04:30,200 --> 00:04:32,559 Speaker 1: like the government is the most immune thing to self 82 00:04:32,560 --> 00:04:35,800 Speaker 1: criticism and self assessment. Even they're like, yeah, we screwed 83 00:04:35,839 --> 00:04:38,000 Speaker 1: this one up pretty bad, and they're like, it's time 84 00:04:38,120 --> 00:04:41,120 Speaker 1: for a major change to this agency. Some of the 85 00:04:41,160 --> 00:04:43,000 Speaker 1: things that they point to is that they're going to 86 00:04:43,080 --> 00:04:46,200 Speaker 1: have to undo many of their bureaucratic biases. But their 87 00:04:46,279 --> 00:04:49,200 Speaker 1: second and I think the most important, is they said 88 00:04:49,520 --> 00:04:53,800 Speaker 1: we need to have very clear messaging. I love also 89 00:04:53,960 --> 00:04:57,000 Speaker 1: though that they they kind of blame the American people 90 00:04:57,320 --> 00:04:59,440 Speaker 1: when they say this. So they said, quote, this is 91 00:04:59,440 --> 00:05:02,680 Speaker 1: doctor David He's an epidemiologist at the Johns Hopkins School. 92 00:05:02,880 --> 00:05:05,320 Speaker 1: He says, messaging to the general public needs to be 93 00:05:05,400 --> 00:05:09,479 Speaker 1: quote very clear, very simple, very straightforward. Culture is changing. 94 00:05:09,640 --> 00:05:12,440 Speaker 1: We needed to change faster in terms of CDC. So 95 00:05:12,480 --> 00:05:16,200 Speaker 1: he's basically blaming like pop culture and social media for 96 00:05:16,520 --> 00:05:19,359 Speaker 1: you know, not reacting to what the CDC said in 97 00:05:19,440 --> 00:05:22,640 Speaker 1: a like a timely manner, as if it wasn't. The 98 00:05:22,640 --> 00:05:26,480 Speaker 1: initial CDC messages themselves were at fault. But I think 99 00:05:26,560 --> 00:05:29,839 Speaker 1: at a very high basic level to have the nation's 100 00:05:29,880 --> 00:05:33,599 Speaker 1: top public health agency admit to the American people, we 101 00:05:33,680 --> 00:05:37,080 Speaker 1: screwed this up dramatically. I mean, they themselves are calling 102 00:05:37,080 --> 00:05:40,400 Speaker 1: for a full scale reorganization of their own agency, and 103 00:05:40,720 --> 00:05:42,400 Speaker 1: we should push very very hard to make sure that 104 00:05:42,400 --> 00:05:44,960 Speaker 1: we'd see the correct things. I mean, that is just 105 00:05:45,120 --> 00:05:47,240 Speaker 1: it took too long, but I mean it's probably better 106 00:05:47,279 --> 00:05:49,880 Speaker 1: than nothing to at least admit. I'm pretty surprised that 107 00:05:49,920 --> 00:05:53,160 Speaker 1: they had this level of self assessment. And I mean 108 00:05:53,200 --> 00:05:56,279 Speaker 1: she made some pretty doctor Rulenski made some pretty direct comments. 109 00:05:56,279 --> 00:05:58,839 Speaker 1: She told the agency to be frank, we were responsible 110 00:05:58,839 --> 00:06:01,800 Speaker 1: for some pretty dramatic, pretty public mistakes from testing to 111 00:06:01,880 --> 00:06:05,279 Speaker 1: data to communications, and we're going to go through full 112 00:06:05,360 --> 00:06:07,760 Speaker 1: reminder trip down memory lane what some of those were. 113 00:06:08,120 --> 00:06:10,480 Speaker 1: But I think in the early days of the pandemic 114 00:06:10,520 --> 00:06:13,320 Speaker 1: they actually escaped a lot of scrutiny because Trump was 115 00:06:13,440 --> 00:06:16,679 Speaker 1: screwing up so badly, and so there was a sense 116 00:06:16,680 --> 00:06:18,359 Speaker 1: of like, oh my god, if we just had like 117 00:06:18,400 --> 00:06:21,240 Speaker 1: a different guy in charge, then our public health agencies 118 00:06:21,240 --> 00:06:22,880 Speaker 1: would be able to do what they do and what 119 00:06:22,920 --> 00:06:26,240 Speaker 1: they're expert at. But as time we're on, it became 120 00:06:26,360 --> 00:06:30,760 Speaker 1: clear that those bureaucracies were also completely failing and in 121 00:06:30,800 --> 00:06:35,680 Speaker 1: some really basic and very very significant ways that threw 122 00:06:35,760 --> 00:06:39,360 Speaker 1: off our response from the jump and also really diminished 123 00:06:39,400 --> 00:06:42,200 Speaker 1: public trust, and that was as big of a problem 124 00:06:42,279 --> 00:06:44,839 Speaker 1: as anything as we then moved into the vaccine phase 125 00:06:45,080 --> 00:06:47,719 Speaker 1: and you had a large population say, we're just not 126 00:06:47,839 --> 00:06:51,000 Speaker 1: really sure that your guidance is accurate after the things 127 00:06:51,000 --> 00:06:54,240 Speaker 1: that we heard before. So the fact that they're acknowledging it, 128 00:06:54,320 --> 00:06:59,480 Speaker 1: she speaks directly to unclear communication. She speaks to the 129 00:06:59,520 --> 00:07:02,440 Speaker 1: fact that they at times would have data that would 130 00:07:02,480 --> 00:07:05,440 Speaker 1: be useful for making decisions on things like booster shots 131 00:07:05,720 --> 00:07:08,400 Speaker 1: that they were reluctant to release to the public. And 132 00:07:08,480 --> 00:07:10,960 Speaker 1: the reason that they were reluctant to put it out 133 00:07:11,000 --> 00:07:14,960 Speaker 1: there sooner was because the promotion system within the CDC 134 00:07:15,120 --> 00:07:18,200 Speaker 1: was based much more on like how many academic papers 135 00:07:18,200 --> 00:07:21,640 Speaker 1: you had published than on really protecting the public and 136 00:07:21,680 --> 00:07:23,840 Speaker 1: doing your job in terms of a public health official. 137 00:07:24,120 --> 00:07:27,240 Speaker 1: So the incentives were all screwed up, so people wanted 138 00:07:27,240 --> 00:07:29,960 Speaker 1: to hold onto the data until they got their little 139 00:07:29,960 --> 00:07:32,320 Speaker 1: paper published so that they could get you a gold 140 00:07:32,400 --> 00:07:35,400 Speaker 1: star for that, rather than really having as their number 141 00:07:35,440 --> 00:07:38,800 Speaker 1: one priority getting critical information out to the public. And 142 00:07:38,840 --> 00:07:40,680 Speaker 1: that'sier is one of the things that she spoke to 143 00:07:40,720 --> 00:07:43,760 Speaker 1: the most was that the orientation of the agency was 144 00:07:43,840 --> 00:07:47,600 Speaker 1: more about sort of like academia and research, and that 145 00:07:47,680 --> 00:07:51,360 Speaker 1: was how you were promoted than it was directed directed 146 00:07:51,440 --> 00:07:55,960 Speaker 1: at being super responsive, being super fast and serving the public. 147 00:07:56,080 --> 00:07:57,720 Speaker 1: But you know, I think one of the things that 148 00:07:57,760 --> 00:08:00,000 Speaker 1: we're going to talk about monkey pops in a little bit, 149 00:08:00,160 --> 00:08:03,680 Speaker 1: but one of the biggest failures was on communication. I mean, 150 00:08:03,720 --> 00:08:07,760 Speaker 1: doctor Wolenski herself was criticized for her communication style and 151 00:08:07,800 --> 00:08:10,440 Speaker 1: I think had to bring in a public speaking coach 152 00:08:10,520 --> 00:08:14,200 Speaker 1: and immediate treatment, right. So you know this reflects on 153 00:08:14,240 --> 00:08:18,280 Speaker 1: her as well. But the fact that you had, you 154 00:08:18,440 --> 00:08:21,320 Speaker 1: had public health officials and continue to have public health 155 00:08:21,320 --> 00:08:25,000 Speaker 1: officials who are uncomfortable just telling the public the truth 156 00:08:25,120 --> 00:08:28,040 Speaker 1: because they're worried that the public can't handle the truth. 157 00:08:28,800 --> 00:08:32,920 Speaker 1: That is a massive, massive issue. It's not your job 158 00:08:33,320 --> 00:08:37,680 Speaker 1: to be managing the emotions in psychoanalyzing the American public. 159 00:08:38,000 --> 00:08:41,640 Speaker 1: You have to trust that people can handle the unvarnished 160 00:08:41,679 --> 00:08:45,400 Speaker 1: facts about what is going on, what the risks factors are, 161 00:08:45,640 --> 00:08:48,840 Speaker 1: what the risk vectors are, and how you should respond. 162 00:08:48,880 --> 00:08:50,800 Speaker 1: You have to trust the public to be able to 163 00:08:50,800 --> 00:08:54,120 Speaker 1: handle the basic facts. Otherwise you're going to end up 164 00:08:54,120 --> 00:08:56,440 Speaker 1: with exactly the medal that we had in coronavirus, and 165 00:08:56,440 --> 00:08:58,360 Speaker 1: that we are are seeing with monkey pop. Yeah, and 166 00:08:58,440 --> 00:09:01,839 Speaker 1: we put together and so look, I know everybody's got 167 00:09:01,840 --> 00:09:03,839 Speaker 1: their own pet peas. But what we wanted to try 168 00:09:03,840 --> 00:09:06,920 Speaker 1: and focus on was the very very early failures pre 169 00:09:07,040 --> 00:09:11,120 Speaker 1: vaccine and the ones that are like totally indisputable, indisputable, 170 00:09:11,160 --> 00:09:14,800 Speaker 1: like beyond even the vaccination policies. I think first and 171 00:09:14,840 --> 00:09:18,000 Speaker 1: foremost was we should all remember the very very early 172 00:09:18,080 --> 00:09:22,200 Speaker 1: days of the pandemic. Whenever the coronavirus was ripping through China, 173 00:09:22,559 --> 00:09:26,280 Speaker 1: Europe was having lockdowns Italy January of twenty twenty, there 174 00:09:26,280 --> 00:09:27,480 Speaker 1: was a lot of questions. It was like, what the 175 00:09:27,480 --> 00:09:29,240 Speaker 1: hell is going on here? And one of the major 176 00:09:29,280 --> 00:09:33,200 Speaker 1: ones on COVID was does this spread via surfaces via 177 00:09:33,240 --> 00:09:36,800 Speaker 1: particles aka leading to the whole washer hands discussion? Or 178 00:09:36,960 --> 00:09:41,320 Speaker 1: is this an airborne transmitted virus? Now? The real questions 179 00:09:41,520 --> 00:09:43,960 Speaker 1: surrounded that, and we will also remember that the Chinese 180 00:09:43,960 --> 00:09:47,160 Speaker 1: lied to the WHO famous tweet January of twenty twenty, 181 00:09:47,400 --> 00:09:50,319 Speaker 1: who says China data shows that this is not an 182 00:09:50,320 --> 00:09:53,520 Speaker 1: airborne transmissible virus. I mean, who knows how many deaths 183 00:09:53,520 --> 00:09:55,840 Speaker 1: that that led to in the early days and actually 184 00:09:56,000 --> 00:10:00,640 Speaker 1: misguided public health messaging. We should remember it took until 185 00:10:00,800 --> 00:10:05,559 Speaker 1: May of twenty twenty one, mid vaccination campaign. Let's throw 186 00:10:05,600 --> 00:10:08,040 Speaker 1: this up there on the screen for the CDC to 187 00:10:08,320 --> 00:10:13,840 Speaker 1: finally acknowledge airborne transmission. It took them a year and 188 00:10:13,880 --> 00:10:17,600 Speaker 1: a half almost in order for them to actually update 189 00:10:17,760 --> 00:10:20,240 Speaker 1: their official guidance. And the reason that I chose this 190 00:10:20,240 --> 00:10:23,080 Speaker 1: one to start is that that shows us crystal a 191 00:10:23,200 --> 00:10:26,640 Speaker 1: sixteen month backlog as to when the data is clear 192 00:10:26,679 --> 00:10:31,439 Speaker 1: as day everybody knows it to a final official guidance revisory. 193 00:10:31,720 --> 00:10:36,400 Speaker 1: And imagine the level of bureaucratic mishappen more to acknowledge 194 00:10:36,440 --> 00:10:40,520 Speaker 1: the most basic fact and truth about a virus and 195 00:10:40,559 --> 00:10:43,280 Speaker 1: then to have it be known to the general public, 196 00:10:43,320 --> 00:10:45,520 Speaker 1: to be known to the medical community, for you, for 197 00:10:45,880 --> 00:10:48,320 Speaker 1: hundreds of thousands of people, not only in this country, 198 00:10:48,360 --> 00:10:50,720 Speaker 1: millions across the world to be dead, for them to 199 00:10:50,960 --> 00:10:53,760 Speaker 1: finally update their guidance. That was number one. That was 200 00:10:53,760 --> 00:10:55,840 Speaker 1: one of the initial screw ups. Number two was a 201 00:10:55,840 --> 00:10:57,600 Speaker 1: mass I mean this one we could beat to death, 202 00:10:57,800 --> 00:11:01,080 Speaker 1: you know forever. Let's put this say problem, show this 203 00:11:01,200 --> 00:11:03,720 Speaker 1: up there right. This is the timeline from the LA 204 00:11:03,800 --> 00:11:07,280 Speaker 1: Times on mass guidance. We should remember the US Surgeon 205 00:11:07,400 --> 00:11:10,400 Speaker 1: General at the very beginning of the pandemic. In February 206 00:11:10,440 --> 00:11:13,760 Speaker 1: of twenty twenty, urged the US public in all caps 207 00:11:13,840 --> 00:11:19,360 Speaker 1: quote stop buying masks. This was up until May, so 208 00:11:19,520 --> 00:11:24,199 Speaker 1: two months actually really almost three of initial spread across 209 00:11:24,240 --> 00:11:27,680 Speaker 1: this nation of coronavirus. You had the CDC and public 210 00:11:27,679 --> 00:11:29,439 Speaker 1: health authorities all the way up to the top of 211 00:11:29,480 --> 00:11:33,120 Speaker 1: the White House basically saying masks do not work. He 212 00:11:33,240 --> 00:11:37,360 Speaker 1: said specifically, quote masks are not effective in preventing general 213 00:11:37,360 --> 00:11:40,120 Speaker 1: public from catching coronavirus. If health care providers can't get 214 00:11:40,160 --> 00:11:41,800 Speaker 1: them to care for sick patients, it puts them in 215 00:11:41,840 --> 00:11:44,000 Speaker 1: our community risk. So hold on a second. It's not 216 00:11:44,080 --> 00:11:47,000 Speaker 1: effective at stopping But then why do health care providers 217 00:11:47,000 --> 00:11:49,240 Speaker 1: need them? Well, we later find out, threw an admission 218 00:11:49,280 --> 00:11:52,520 Speaker 1: from doctor Anthony Fauci. The reason why that this message 219 00:11:52,559 --> 00:11:56,120 Speaker 1: was concocted was basically to stop Americans from buying masks 220 00:11:56,400 --> 00:11:59,439 Speaker 1: and from in order to keep the stock for public health. 221 00:11:59,559 --> 00:12:01,680 Speaker 1: Here's what I've always had this, which is that if 222 00:12:01,720 --> 00:12:04,040 Speaker 1: they had just been honest with the American people and 223 00:12:04,120 --> 00:12:06,720 Speaker 1: been like, listen, we have a shortage, please don't buy them. 224 00:12:06,880 --> 00:12:09,199 Speaker 1: We need the N ninety fives for our hospitals, I 225 00:12:09,240 --> 00:12:11,560 Speaker 1: think people would have I think people would just buy that. 226 00:12:11,679 --> 00:12:14,400 Speaker 1: And actually I always point to myself when that happened. 227 00:12:14,440 --> 00:12:15,760 Speaker 1: I was like, yeah, I don't believe you, And I 228 00:12:15,760 --> 00:12:18,160 Speaker 1: bought a bunch of men ninety fives on Amazon. If 229 00:12:18,200 --> 00:12:20,600 Speaker 1: somebody had told me don't buy an N ninety five 230 00:12:21,120 --> 00:12:23,720 Speaker 1: because healthcare, I absolutely wouldn't have purchased it. Yeah, but 231 00:12:23,720 --> 00:12:25,120 Speaker 1: it was more out of distrust, and I was like, 232 00:12:25,200 --> 00:12:27,000 Speaker 1: I think this is bullshit. I mean, if it did, 233 00:12:27,000 --> 00:12:28,720 Speaker 1: it make sense. I remember us talking about it at 234 00:12:28,720 --> 00:12:31,559 Speaker 1: this time. We're like, so, why is it helpful in 235 00:12:31,600 --> 00:12:34,720 Speaker 1: a public health setting? Right? But it's not helpful in general, 236 00:12:34,840 --> 00:12:38,720 Speaker 1: Like this just really doesn't add up. And then I think, 237 00:12:38,800 --> 00:12:40,680 Speaker 1: why this one and why we do harp on this 238 00:12:40,760 --> 00:12:45,439 Speaker 1: one so much, is because it really demonstrates this problem 239 00:12:45,559 --> 00:12:48,800 Speaker 1: of rather than just doing their job and saying, here 240 00:12:48,840 --> 00:12:51,960 Speaker 1: are the facts, you're the science, here's the risks, here's 241 00:12:52,000 --> 00:12:56,160 Speaker 1: the studies that back it up, they tried to massage 242 00:12:56,360 --> 00:13:00,360 Speaker 1: the emotions of the American public, tried to engine near 243 00:13:00,600 --> 00:13:04,640 Speaker 1: the outcomes that they wanted, and were fearful that the 244 00:13:04,800 --> 00:13:09,440 Speaker 1: public could not deal with the actual facts as they exist. 245 00:13:09,840 --> 00:13:14,160 Speaker 1: And so you know, they have no they actually admitted 246 00:13:14,480 --> 00:13:16,960 Speaker 1: that this is what they were doing, that they were 247 00:13:17,120 --> 00:13:19,680 Speaker 1: lying to you because they were worried you would go 248 00:13:19,760 --> 00:13:22,240 Speaker 1: out and hog up all the mass, and then frontline 249 00:13:22,280 --> 00:13:25,200 Speaker 1: healthcare workers who were in dire need of mass and 250 00:13:25,200 --> 00:13:27,440 Speaker 1: who you know, were screwed over buyers, supply chain issues 251 00:13:27,440 --> 00:13:29,760 Speaker 1: in the fact this stuff all came from China, that 252 00:13:29,920 --> 00:13:33,280 Speaker 1: they would have what they need. So this is to 253 00:13:33,400 --> 00:13:38,280 Speaker 1: me such a perfect crystallization of what they have continued 254 00:13:38,320 --> 00:13:40,120 Speaker 1: to fail on. And even then, once we got the 255 00:13:40,160 --> 00:13:42,360 Speaker 1: acknowledgement Okay, yeah, masks do work, and then we go 256 00:13:42,400 --> 00:13:43,800 Speaker 1: in the other direction of okay, you got to have 257 00:13:43,840 --> 00:13:47,280 Speaker 1: mass everywhere inside out venus, sometimes they don't work, gools, 258 00:13:47,320 --> 00:13:50,600 Speaker 1: et cetera. Then there was a reluctance to acknowledge that 259 00:13:50,720 --> 00:13:54,480 Speaker 1: certain masks are kind of useless and certain masks are better. 260 00:13:54,559 --> 00:13:57,240 Speaker 1: I mean, there was always just a reluctance to be 261 00:13:57,400 --> 00:14:00,679 Speaker 1: straight with the American people when they're as a concern 262 00:14:00,760 --> 00:14:04,480 Speaker 1: that it might lead to giving, you know, skeptics a 263 00:14:04,520 --> 00:14:07,080 Speaker 1: talking point, or it might lead to some outcome that 264 00:14:07,120 --> 00:14:10,520 Speaker 1: the public health officials were fearful about. I understand it's 265 00:14:10,559 --> 00:14:13,960 Speaker 1: a natural, I guess, human instinct to try to micromanage 266 00:14:13,960 --> 00:14:17,400 Speaker 1: these things, but ultimately that ain't your job. If society 267 00:14:17,480 --> 00:14:20,440 Speaker 1: has a problem as a result of the accurate guidance 268 00:14:20,480 --> 00:14:22,640 Speaker 1: that you give, we have to deal with that downstream. 269 00:14:23,000 --> 00:14:25,800 Speaker 1: But up front, you have to trust this is a democracy. 270 00:14:25,880 --> 00:14:27,840 Speaker 1: Grown ups are going to behave in an adult way 271 00:14:27,920 --> 00:14:30,000 Speaker 1: and taking this information an accurate way. And I just, 272 00:14:30,360 --> 00:14:32,320 Speaker 1: you know, I think back to that time sober and 273 00:14:32,400 --> 00:14:37,120 Speaker 1: how scary it was for everybody. I think about how 274 00:14:37,560 --> 00:14:39,520 Speaker 1: you know, how much we were all just trying to 275 00:14:39,520 --> 00:14:41,400 Speaker 1: figure out what the hell was going on and how 276 00:14:41,440 --> 00:14:44,280 Speaker 1: to keep ourselves and our loved ones safe. And the 277 00:14:44,360 --> 00:14:46,840 Speaker 1: fact that we did not feel that we had a 278 00:14:47,200 --> 00:14:52,440 Speaker 1: reliable entity here that was just giving us what they 279 00:14:52,480 --> 00:14:55,880 Speaker 1: actually knew in real time made it so much more 280 00:14:55,880 --> 00:14:59,160 Speaker 1: difficult to sort through what was fact and what was fiction. 281 00:14:59,320 --> 00:15:01,520 Speaker 1: Absolutely is another one. Let's go and put this up 282 00:15:01,520 --> 00:15:03,320 Speaker 1: there on the screen. You know, people really forget this, 283 00:15:03,400 --> 00:15:05,640 Speaker 1: but we did not have reliable testing in this country 284 00:15:05,640 --> 00:15:07,440 Speaker 1: for several months, and even then, you know, it took 285 00:15:07,480 --> 00:15:10,440 Speaker 1: a while for PCR government provided tests, and then there 286 00:15:10,440 --> 00:15:13,240 Speaker 1: was a lot of controversy even around the PCR, around 287 00:15:13,320 --> 00:15:15,200 Speaker 1: the level of cycles and you know what exactly they 288 00:15:15,200 --> 00:15:17,480 Speaker 1: were running for whether it's too sensitive or not. And 289 00:15:17,480 --> 00:15:20,560 Speaker 1: part of the reason why is again total bureaucratics grew up. Essentially, 290 00:15:20,600 --> 00:15:23,400 Speaker 1: what happened is that the CDC basically said, no, we're 291 00:15:23,400 --> 00:15:26,040 Speaker 1: going to create our own test versus buying existing tests. 292 00:15:26,080 --> 00:15:29,640 Speaker 1: So while Europe and many other countries had far better testing, 293 00:15:29,760 --> 00:15:32,960 Speaker 1: immediate testing that was available to their general public and 294 00:15:33,080 --> 00:15:35,560 Speaker 1: was able to lead to know more quarantines of the 295 00:15:35,600 --> 00:15:38,440 Speaker 1: right people instead of having to quarantine or ask population 296 00:15:38,520 --> 00:15:41,120 Speaker 1: wide concerns, we didn't have that for several months, and 297 00:15:41,160 --> 00:15:44,320 Speaker 1: that led to what people just risked it. People basically 298 00:15:44,360 --> 00:15:47,080 Speaker 1: didn't trust it anymore. Eventually led to the fact that 299 00:15:47,360 --> 00:15:51,040 Speaker 1: at one point there was US companies making rapid tests 300 00:15:51,280 --> 00:15:54,520 Speaker 1: for Europe, not for America. I harped on that so 301 00:15:54,640 --> 00:15:56,640 Speaker 1: much at the time because it just shows you the 302 00:15:56,680 --> 00:16:00,800 Speaker 1: bureaucratic nightmare of the FDA and the CDC not using 303 00:16:00,840 --> 00:16:04,080 Speaker 1: their emergency authority in order to push these things through. So, look, 304 00:16:04,640 --> 00:16:08,080 Speaker 1: those are three egregious ones that we pointed to, and 305 00:16:08,120 --> 00:16:11,440 Speaker 1: I know there are so many more lockdowns. The initial 306 00:16:11,520 --> 00:16:14,600 Speaker 1: VAX campaign, I could go on the fact they covered 307 00:16:14,680 --> 00:16:17,640 Speaker 1: up the obesity, you know, and so much of the 308 00:16:17,720 --> 00:16:20,720 Speaker 1: risk factors more. But like outside of the controversial realm, 309 00:16:20,960 --> 00:16:23,040 Speaker 1: you cannot look at any of these three things, no 310 00:16:23,080 --> 00:16:25,720 Speaker 1: matter where you fall on a spectrum of public health 311 00:16:25,840 --> 00:16:28,680 Speaker 1: and not say this is a colossal mistake. Colossal miss 312 00:16:28,760 --> 00:16:31,560 Speaker 1: How long did it take it take us before the 313 00:16:31,680 --> 00:16:36,640 Speaker 1: US government was able to send Americans tests A year? Yeah, 314 00:16:36,680 --> 00:16:38,560 Speaker 1: I mean it was. It didn't happen until under the 315 00:16:38,560 --> 00:16:42,400 Speaker 1: Biden ministry, I mean it was forever. South Korea, which 316 00:16:42,440 --> 00:16:46,400 Speaker 1: reported their first tests within a day of US a 317 00:16:46,560 --> 00:16:50,280 Speaker 1: week later, gave permission for their commercial abs to develop tests. 318 00:16:50,520 --> 00:16:53,600 Speaker 1: Within two weeks, they were shipping thousands of test kit 319 00:16:54,320 --> 00:16:56,960 Speaker 1: test kits daily and by mid March they were testing 320 00:16:57,000 --> 00:16:59,880 Speaker 1: at a per capital rate forty times higher than the US. 321 00:17:00,160 --> 00:17:01,920 Speaker 1: And by the way, I mean South Korea I think 322 00:17:02,080 --> 00:17:05,440 Speaker 1: has been a lauded for their early coronavirus response much 323 00:17:05,480 --> 00:17:08,520 Speaker 1: more effective than ours. But there were countries around the world, 324 00:17:08,560 --> 00:17:12,360 Speaker 1: and not just developed nations. There were other poorer countries 325 00:17:12,400 --> 00:17:14,480 Speaker 1: that were able to develop tests and get their tests 326 00:17:14,480 --> 00:17:18,560 Speaker 1: to their population far faster than we were able to do. 327 00:17:19,080 --> 00:17:21,400 Speaker 1: And of all the screw ups, I mean that may 328 00:17:21,440 --> 00:17:24,360 Speaker 1: have been the most critical because that meant in those 329 00:17:24,400 --> 00:17:27,520 Speaker 1: early days, we were flying blind. We had no idea 330 00:17:27,840 --> 00:17:30,199 Speaker 1: how far it had spread, where it was, where the 331 00:17:30,240 --> 00:17:33,040 Speaker 1: hotspots were. People were getting sick at that time, and 332 00:17:33,080 --> 00:17:34,639 Speaker 1: they had no idea whether they had it or not, 333 00:17:34,680 --> 00:17:36,639 Speaker 1: which of course, you know, was terrifying for them and 334 00:17:36,680 --> 00:17:40,320 Speaker 1: also resulted in additional sickness and death. So yeah, this 335 00:17:40,560 --> 00:17:43,480 Speaker 1: was one of the most sort of critical screw ups 336 00:17:43,520 --> 00:17:47,040 Speaker 1: at the very beginning. So listen, bottom line. Good that 337 00:17:47,080 --> 00:17:49,080 Speaker 1: they're doing this assessment. Now this came from, you know, 338 00:17:49,119 --> 00:17:50,840 Speaker 1: an external group that came in and looked at what 339 00:17:50,920 --> 00:17:53,919 Speaker 1: happened and tried to do an independent evaluation. Good that 340 00:17:53,920 --> 00:17:57,000 Speaker 1: they're having some unvarnished talk about what needs to happen 341 00:17:57,040 --> 00:17:59,600 Speaker 1: here and planning on a big reorganization in a big 342 00:17:59,600 --> 00:18:02,159 Speaker 1: shape shake up and moving it from this sort of 343 00:18:02,280 --> 00:18:06,560 Speaker 1: like laid back academic setting to more of a urgent. 344 00:18:06,840 --> 00:18:08,920 Speaker 1: We got to get this done and it's in interest 345 00:18:08,960 --> 00:18:10,920 Speaker 1: to the public health, and that's what we're focused on. 346 00:18:11,720 --> 00:18:13,879 Speaker 1: Posture now, we got to see if they're actually able 347 00:18:13,920 --> 00:18:16,119 Speaker 1: to pull it well. Unfortunately we already know that's not 348 00:18:16,119 --> 00:18:18,080 Speaker 1: the case with monkey pox. We're about to talk about that, 349 00:18:18,160 --> 00:18:21,399 Speaker 1: and you know, even the leading from behind strategy continues 350 00:18:21,440 --> 00:18:22,800 Speaker 1: let's put this up there, which is that you guys 351 00:18:22,880 --> 00:18:25,080 Speaker 1: might have noticed, which is exactly a week ago, the 352 00:18:25,119 --> 00:18:28,439 Speaker 1: CDC actually revised all of its guidance around COVID, lifting 353 00:18:28,480 --> 00:18:31,840 Speaker 1: requirements to quarantine if exposed to the virus, deemphasize screening 354 00:18:31,880 --> 00:18:35,320 Speaker 1: people with no symptoms, updating COVID nineteen protocols in schools, 355 00:18:35,680 --> 00:18:40,000 Speaker 1: the effective test to stay strategy, and saying, well, you know, 356 00:18:40,560 --> 00:18:43,320 Speaker 1: COVID it's here to stay. They say that, I don't 357 00:18:43,320 --> 00:18:45,880 Speaker 1: really think there's many state local jurisdictions that are even 358 00:18:45,880 --> 00:18:48,200 Speaker 1: feeling they're going to need start making mandates, so they're 359 00:18:48,240 --> 00:18:51,119 Speaker 1: abandoning a mandate strategy, abandoning the test to stay strategy, 360 00:18:51,359 --> 00:18:54,120 Speaker 1: and saying, look, we just know that COVID is here 361 00:18:54,119 --> 00:18:55,760 Speaker 1: to stay and we need to learn to live with it. 362 00:18:55,920 --> 00:18:59,320 Speaker 1: I mean, look, people have been doing that for over 363 00:18:59,359 --> 00:19:01,040 Speaker 1: a year. Some people in the South, they've been doing 364 00:19:01,080 --> 00:19:03,320 Speaker 1: it for a much longer than a year, and they 365 00:19:03,400 --> 00:19:06,159 Speaker 1: just come out, Well, the entire American people. This is 366 00:19:06,160 --> 00:19:08,760 Speaker 1: why this is very bad, which is that states and 367 00:19:08,880 --> 00:19:15,480 Speaker 1: localities had to make individual decisions based upon unclear data 368 00:19:15,760 --> 00:19:20,840 Speaker 1: and popular guidance before months before, some some cases, years before, 369 00:19:21,119 --> 00:19:23,520 Speaker 1: the CDC was like, yeah, this is reality, now you 370 00:19:23,560 --> 00:19:26,359 Speaker 1: should have it the opposite the CDC. I always we 371 00:19:26,400 --> 00:19:28,639 Speaker 1: always I think I use this example on steak. You know, 372 00:19:28,760 --> 00:19:30,440 Speaker 1: the CDC is like, heah, you should cook a steak 373 00:19:30,480 --> 00:19:32,080 Speaker 1: well done. And people are like, okay, thank you, I'm 374 00:19:32,119 --> 00:19:34,280 Speaker 1: just not going to do that. And it's like, listen, 375 00:19:34,320 --> 00:19:37,720 Speaker 1: you know, thank you for telling me that. It's like that. Yeah, 376 00:19:37,720 --> 00:19:39,560 Speaker 1: it's like running eggs. By the way, running eggs are 377 00:19:39,560 --> 00:19:42,280 Speaker 1: disgusting in my opinion. Now some people like it. Apparently 378 00:19:42,280 --> 00:19:44,119 Speaker 1: they even order them that way. I think it's gross. 379 00:19:44,200 --> 00:19:48,120 Speaker 1: You like the yoke a completely hard on to it, 380 00:19:48,240 --> 00:19:50,720 Speaker 1: almost burned into the pan thing I want sticking to 381 00:19:50,800 --> 00:19:53,639 Speaker 1: the pan. Look, I'm a weird guy. It is what 382 00:19:53,680 --> 00:19:56,080 Speaker 1: it is. But more what I'm saying is I'm actually 383 00:19:56,080 --> 00:19:58,320 Speaker 1: following CDC guidance in that, but I don't go after what. 384 00:19:58,359 --> 00:20:02,000 Speaker 1: It's like eggs Benedict right where every time you know 385 00:20:02,160 --> 00:20:05,159 Speaker 1: eggs Benedict, you are violating CDC guidance. Whatever you know 386 00:20:05,240 --> 00:20:08,919 Speaker 1: it is is what the whites of the egg aren't cooked. 387 00:20:08,960 --> 00:20:12,560 Speaker 1: Now that is nasty, but a runny yolk, Yeah, that's 388 00:20:12,600 --> 00:20:15,560 Speaker 1: that's life. My point is they tell you not to 389 00:20:15,600 --> 00:20:18,280 Speaker 1: do it. People say, I'm just gonna do it. There's 390 00:20:18,280 --> 00:20:20,879 Speaker 1: also there's actually a lot of guidance for like pregnant 391 00:20:20,920 --> 00:20:24,080 Speaker 1: ladies that also is really outdated, and like nobody in 392 00:20:24,240 --> 00:20:26,800 Speaker 1: other countries are like what you can't eat like certain 393 00:20:26,800 --> 00:20:28,840 Speaker 1: types of cheese? What are you talking about? Oh really, 394 00:20:28,840 --> 00:20:31,800 Speaker 1: I didn't know about. Yeah, it's like soft cheeses. You're 395 00:20:31,840 --> 00:20:34,399 Speaker 1: supposed to avoid deli meat. I mean, listen, there are 396 00:20:34,440 --> 00:20:37,760 Speaker 1: like outside, outside, outside chances that this could be a 397 00:20:37,800 --> 00:20:39,200 Speaker 1: problem for you. But I just want you guys to 398 00:20:39,280 --> 00:20:41,680 Speaker 1: know I had three kids and I had all sorts 399 00:20:41,680 --> 00:20:43,919 Speaker 1: of cheese and doubly meat. There you go time and 400 00:20:43,960 --> 00:20:46,200 Speaker 1: it all worked out. Okay. More is than my point 401 00:20:46,440 --> 00:20:49,000 Speaker 1: give the guidance people can live their lives. It should 402 00:20:49,040 --> 00:20:52,119 Speaker 1: be the It should be directional in the way that 403 00:20:52,160 --> 00:20:55,040 Speaker 1: we see what it is, Okay, we understand that, and 404 00:20:55,080 --> 00:20:57,439 Speaker 1: then we can live from there. Instead, people had to 405 00:20:57,440 --> 00:21:00,439 Speaker 1: start living in all these disparate ways across the country. 406 00:21:00,600 --> 00:21:02,959 Speaker 1: Someplaces have mass man daate, someplaces don't have mass man 407 00:21:03,040 --> 00:21:05,760 Speaker 1: days more based upon frankly, the paranoia of their population 408 00:21:06,080 --> 00:21:09,119 Speaker 1: than the actual science. And then the scientists take months 409 00:21:09,119 --> 00:21:11,200 Speaker 1: in order to catch up with the general public. It's 410 00:21:11,240 --> 00:21:13,600 Speaker 1: just a complete and total failure. So I think this 411 00:21:13,680 --> 00:21:16,719 Speaker 1: is a perfect way to end that CDC story, acknowledging 412 00:21:16,920 --> 00:21:20,600 Speaker 1: the failure, but at the same time continuing the bureaucratic failure. 413 00:21:20,880 --> 00:21:23,280 Speaker 1: Let's move on to monkey pox, because they certainly haven't 414 00:21:23,320 --> 00:21:25,360 Speaker 1: learned their lessons yet. Oh not even learn I mean, 415 00:21:25,440 --> 00:21:27,960 Speaker 1: I honestly I think this is worse than COVID, and 416 00:21:28,040 --> 00:21:29,920 Speaker 1: you know, at least fortunately we don't have the same 417 00:21:30,160 --> 00:21:31,840 Speaker 1: number of cases. But let's go and put this up 418 00:21:31,880 --> 00:21:34,880 Speaker 1: there on the screen. I really encourage everybody to go 419 00:21:34,960 --> 00:21:38,119 Speaker 1: and read this deep dive into monkey pox, the US 420 00:21:38,320 --> 00:21:41,160 Speaker 1: handling of it, the origins of the disease from Africa, 421 00:21:41,520 --> 00:21:44,720 Speaker 1: how exactly it is being spread, and specifically the way 422 00:21:44,760 --> 00:21:47,280 Speaker 1: that the United States and the Biden administration are handling 423 00:21:47,280 --> 00:21:49,879 Speaker 1: the public health response. And I think from the public 424 00:21:49,880 --> 00:21:52,879 Speaker 1: health response perspective is really where we should start. So 425 00:21:53,280 --> 00:21:56,920 Speaker 1: in May, we've had one confirmed US infection of monkeypox. 426 00:21:57,000 --> 00:21:59,520 Speaker 1: You guys might remember those headlines that were coming out. 427 00:21:59,560 --> 00:22:02,760 Speaker 1: It was knowledgement by the CDC and by others. Eventually 428 00:22:02,800 --> 00:22:05,800 Speaker 1: it was traced back to some gay sech group sex. 429 00:22:05,960 --> 00:22:09,600 Speaker 1: Now that's fine whatever. Essentially what it became is there 430 00:22:09,640 --> 00:22:13,560 Speaker 1: became a major debate in the public health community over 431 00:22:13,720 --> 00:22:17,600 Speaker 1: acknowledging the major vector of transmission the groups in which 432 00:22:17,600 --> 00:22:20,719 Speaker 1: it was being infected. And then second was really a 433 00:22:20,760 --> 00:22:24,280 Speaker 1: battle over vaccination. And this is where I genuinely crystal 434 00:22:24,320 --> 00:22:27,840 Speaker 1: am mystified at how the administration is handling this. First 435 00:22:27,840 --> 00:22:30,840 Speaker 1: and foremost, we were all told, remember after the Bush administration, 436 00:22:31,119 --> 00:22:33,959 Speaker 1: the billions of dollars that we were spending on bio 437 00:22:34,240 --> 00:22:38,160 Speaker 1: terrorism efforts, So we stockpiled hundreds of millions of doses 438 00:22:38,320 --> 00:22:42,520 Speaker 1: of this monkey pox vaccine. However, well, sorry, a smallpox vaccine. Well, 439 00:22:42,600 --> 00:22:44,840 Speaker 1: it turns out though that it's very old. It's been 440 00:22:44,920 --> 00:22:47,600 Speaker 1: losing its shelf life because the freezers capable of storing 441 00:22:47,640 --> 00:22:50,560 Speaker 1: the zeve only are at negative twenty, while the freezers 442 00:22:50,560 --> 00:22:52,879 Speaker 1: that we need for the monkey box vaccine only go 443 00:22:53,160 --> 00:22:55,840 Speaker 1: to need to be at minus fifty degrees celsius. So 444 00:22:56,080 --> 00:23:00,560 Speaker 1: the actual infrastructure that we have around the vaccine doesn't exist. Then, 445 00:23:00,720 --> 00:23:03,560 Speaker 1: in terms of actually ordering the doses, it turns out 446 00:23:03,560 --> 00:23:06,840 Speaker 1: that we took months to place our doses. And then finally, 447 00:23:07,040 --> 00:23:09,560 Speaker 1: this is the part where I have yet to see 448 00:23:09,840 --> 00:23:12,199 Speaker 1: a correct explanation as to why we are doing this, 449 00:23:12,480 --> 00:23:16,280 Speaker 1: but we have decided to basically split monkey pox's vaccine 450 00:23:16,280 --> 00:23:20,400 Speaker 1: doses in half and not administer vaccines in the way 451 00:23:20,440 --> 00:23:25,240 Speaker 1: that the vaccine maker has basically prescribed their vaccine to 452 00:23:25,320 --> 00:23:29,960 Speaker 1: make people immune from monkey pox once they get the vaccine. Now, 453 00:23:30,119 --> 00:23:33,280 Speaker 1: the big problem right now the Biden administration the CEC 454 00:23:33,480 --> 00:23:37,240 Speaker 1: have not explained their strategy on this, and worse, the 455 00:23:37,280 --> 00:23:40,760 Speaker 1: maker of the vaccine says that if the US continues 456 00:23:40,800 --> 00:23:44,320 Speaker 1: to go forward with this strategy, they will not ever 457 00:23:44,520 --> 00:23:49,560 Speaker 1: sell any vaccines to the United States ever again because 458 00:23:49,680 --> 00:23:52,440 Speaker 1: they don't want I mean, listen, it's complicated around big 459 00:23:52,440 --> 00:23:55,239 Speaker 1: pharma and all that. Really what it does come and 460 00:23:56,080 --> 00:23:59,119 Speaker 1: if you're not administering it in the way you agree to, 461 00:23:59,160 --> 00:24:01,280 Speaker 1: you're violating our agreement. We're not going to sell you anything, 462 00:24:01,320 --> 00:24:02,760 Speaker 1: which I mean in a way I kind of understand 463 00:24:02,760 --> 00:24:05,080 Speaker 1: it from their perspective, but a they need to communicate 464 00:24:05,119 --> 00:24:07,240 Speaker 1: to the public why they are doing this. But I 465 00:24:07,240 --> 00:24:09,399 Speaker 1: think the major thing that jumps out to me is 466 00:24:09,560 --> 00:24:12,639 Speaker 1: number one. For months, and I really do mean months, 467 00:24:12,760 --> 00:24:15,320 Speaker 1: including up to the state, they did not want to 468 00:24:15,359 --> 00:24:22,040 Speaker 1: acknowledge that this disease is like astronomically overwhelmingly spreading amongst 469 00:24:22,119 --> 00:24:24,199 Speaker 1: men who have sex with other men. The reason that 470 00:24:24,200 --> 00:24:26,200 Speaker 1: they didn't want to do so is we have talked 471 00:24:26,200 --> 00:24:28,320 Speaker 1: about this endlessly here on the show because they didn't 472 00:24:28,359 --> 00:24:31,440 Speaker 1: want to increase stigma. Now, coming back to our previous 473 00:24:31,440 --> 00:24:34,240 Speaker 1: block on the CDC and public messaging, you are not 474 00:24:34,480 --> 00:24:38,040 Speaker 1: the nation's counselor leave that to the counselors. Leave that, 475 00:24:38,160 --> 00:24:40,159 Speaker 1: okay to people like us, Be like, yeah, it's a 476 00:24:40,200 --> 00:24:43,360 Speaker 1: disease that very unfortunately spreads amongst men who have sex 477 00:24:43,400 --> 00:24:45,679 Speaker 1: with other men. And I just want Americans to be 478 00:24:45,720 --> 00:24:48,520 Speaker 1: healthy of no matter who you are. Let's acknowledge the truth. 479 00:24:48,560 --> 00:24:50,959 Speaker 1: And by the way, you know, local health authorities who 480 00:24:51,000 --> 00:24:54,200 Speaker 1: are aside from all this woke idiocy, are making a 481 00:24:54,280 --> 00:24:57,880 Speaker 1: vaccine requirement you have to have had sex with other men, 482 00:24:58,040 --> 00:25:01,000 Speaker 1: multiple other male partners to even qual for the vaccines. 483 00:25:01,080 --> 00:25:04,480 Speaker 1: But on the same side, they are insisting over and 484 00:25:04,520 --> 00:25:07,320 Speaker 1: over again that to prevent quote stigma, that they should 485 00:25:07,359 --> 00:25:10,879 Speaker 1: emphasize that, oh well, monkey pocks could also, you know, 486 00:25:10,920 --> 00:25:14,040 Speaker 1: in very very limited cases, spread among skin to skin 487 00:25:14,119 --> 00:25:17,200 Speaker 1: contact just yesterday. Actually we don't even have an element 488 00:25:17,240 --> 00:25:20,040 Speaker 1: because it came out so recently. There's a new study 489 00:25:20,160 --> 00:25:23,439 Speaker 1: that came out, and it shows definitively that the major 490 00:25:23,480 --> 00:25:26,760 Speaker 1: transmission vector of monkey pox is not skinned to skin contact, 491 00:25:26,880 --> 00:25:29,320 Speaker 1: and it is intercourse between men who have sex with 492 00:25:29,359 --> 00:25:31,960 Speaker 1: other men. And this is not any sort of social 493 00:25:32,040 --> 00:25:36,960 Speaker 1: commentary on anybody's lifestyle. It is acknowledging a basic biological reality. 494 00:25:37,200 --> 00:25:41,040 Speaker 1: And then what it really should is inform not only 495 00:25:41,160 --> 00:25:44,240 Speaker 1: vaccination but our CDC public health guidance and to date, 496 00:25:44,359 --> 00:25:48,320 Speaker 1: to date, right now, Crystal, the CDC continues to lie 497 00:25:48,359 --> 00:25:52,000 Speaker 1: to the American public and say monkey pocks can spread 498 00:25:52,040 --> 00:25:54,160 Speaker 1: through two different ways men who have sex with other 499 00:25:54,240 --> 00:25:57,520 Speaker 1: men and then also skin to skin contact, without ever 500 00:25:57,960 --> 00:26:02,399 Speaker 1: realized or like emphasizing to people what the actual absolute 501 00:26:02,600 --> 00:26:06,000 Speaker 1: risk on one versus another. It's a disservice, and I 502 00:26:06,040 --> 00:26:10,000 Speaker 1: honestly think it is very I think it is. It 503 00:26:10,080 --> 00:26:14,760 Speaker 1: is like treating gay men like children. I mean, it's 504 00:26:14,800 --> 00:26:16,320 Speaker 1: treating the whole country like yeah, I mean, like we 505 00:26:16,359 --> 00:26:19,200 Speaker 1: can't handle that. Treat people like adults. Tell them the truth. 506 00:26:19,320 --> 00:26:21,440 Speaker 1: I don't think that they have any problem with being 507 00:26:21,440 --> 00:26:23,600 Speaker 1: told the truth because given you know, so much of 508 00:26:23,640 --> 00:26:25,920 Speaker 1: the historic actually real stigma that has caused a lot 509 00:26:25,920 --> 00:26:28,400 Speaker 1: of death in the community and we could just move 510 00:26:28,440 --> 00:26:30,760 Speaker 1: forward and not have this be a thing now. Instead, 511 00:26:30,880 --> 00:26:33,480 Speaker 1: it is now becoming a culture war for no reason, 512 00:26:33,760 --> 00:26:37,240 Speaker 1: right and by acknowledged by ignoring biological reality. And this 513 00:26:37,320 --> 00:26:40,320 Speaker 1: is just shows you the similar failure of the CDC 514 00:26:40,359 --> 00:26:43,600 Speaker 1: trying to micromanage us public opinion. Yeah, and you end 515 00:26:43,680 --> 00:26:45,919 Speaker 1: up with exactly the result that they didn't want to have, 516 00:26:46,000 --> 00:26:48,560 Speaker 1: which it does become this weird culture war and people 517 00:26:48,600 --> 00:26:51,480 Speaker 1: who you know do have are acting in bad faith, 518 00:26:51,880 --> 00:26:54,920 Speaker 1: you know, pick up on this fact. And so yeah, 519 00:26:55,080 --> 00:26:58,160 Speaker 1: this really does remind me of like the Masking guidance 520 00:26:58,240 --> 00:27:02,560 Speaker 1: early on. It's trying to micromanage, trying to you know, 521 00:27:02,720 --> 00:27:06,080 Speaker 1: protect the American people from the truth. And they apparently 522 00:27:06,160 --> 00:27:10,520 Speaker 1: care more about a theoretical harm and stigma to the 523 00:27:10,520 --> 00:27:13,080 Speaker 1: gay community than they do the health of the gay community. 524 00:27:13,119 --> 00:27:16,400 Speaker 1: And that's not your job. If we have an issue 525 00:27:16,440 --> 00:27:20,400 Speaker 1: with stigma based on accurate information about how this disease 526 00:27:20,600 --> 00:27:24,320 Speaker 1: overwhelmingly spreads, then we deal with that downstream. We deal 527 00:27:24,320 --> 00:27:26,399 Speaker 1: with it as a nation, We deal with it, you know, 528 00:27:26,560 --> 00:27:28,719 Speaker 1: in the culture, we deal with it, you know, with 529 00:27:28,960 --> 00:27:34,000 Speaker 1: activists and gay community leaders. But it is not your 530 00:27:34,160 --> 00:27:36,919 Speaker 1: job to worry about that is your job to be 531 00:27:36,960 --> 00:27:40,199 Speaker 1: clear about the facts, and you know all of this, 532 00:27:40,359 --> 00:27:42,640 Speaker 1: then you get to the conversation about like, well, why 533 00:27:42,640 --> 00:27:44,960 Speaker 1: don't people trust the government, and why don't people trust 534 00:27:45,000 --> 00:27:47,119 Speaker 1: the CDC, and why don't they just do like what 535 00:27:47,200 --> 00:27:49,320 Speaker 1: they're told and what the guidance says that they should do. 536 00:27:50,000 --> 00:27:52,600 Speaker 1: All of these things, which you know, some of which 537 00:27:52,600 --> 00:27:54,919 Speaker 1: seem gigantic at the time, some of them which may 538 00:27:54,960 --> 00:27:57,359 Speaker 1: seem small at the time, they all contribute to the 539 00:27:57,480 --> 00:28:01,320 Speaker 1: sense that I really these people aren't really being straight 540 00:28:01,359 --> 00:28:03,840 Speaker 1: with me, and so I got to do my own research. 541 00:28:03,880 --> 00:28:06,840 Speaker 1: And you know, doing your own research can go very arise. 542 00:28:07,080 --> 00:28:09,200 Speaker 1: Well can we do to some bad places as well. 543 00:28:09,240 --> 00:28:11,840 Speaker 1: I do not enjoy being like I don't know about 544 00:28:11,840 --> 00:28:14,240 Speaker 1: this and then having to go online and find out 545 00:28:14,280 --> 00:28:17,080 Speaker 1: three months before the US public authorities can. I can 546 00:28:17,200 --> 00:28:20,240 Speaker 1: easily tell from data from other countries. It's very clear 547 00:28:20,320 --> 00:28:22,879 Speaker 1: what's happening. How does monkey pock spread? Okay, I figured 548 00:28:22,920 --> 00:28:24,680 Speaker 1: it out. It wasn't hard and I all I had 549 00:28:24,720 --> 00:28:26,879 Speaker 1: to do was go do my own research. I should 550 00:28:26,880 --> 00:28:28,879 Speaker 1: not have to go do my own research. Neither should 551 00:28:28,880 --> 00:28:30,720 Speaker 1: millions of other people. We should just look to the 552 00:28:30,720 --> 00:28:32,879 Speaker 1: CEC either, like oh yeah, this outs spreads. I'm like, oh, okay, 553 00:28:32,960 --> 00:28:34,439 Speaker 1: all right, I'll make sure you know to have a 554 00:28:34,440 --> 00:28:35,919 Speaker 1: gay friend be like, hey man, I'm not sure if 555 00:28:35,920 --> 00:28:38,200 Speaker 1: you saw this, check it out, you know, live your life. 556 00:28:38,600 --> 00:28:40,400 Speaker 1: What's wrong with that? I don't think there's anything wrong 557 00:28:40,440 --> 00:28:43,480 Speaker 1: with that whatsoever. And yet, unfortunately that is the place 558 00:28:43,520 --> 00:28:45,720 Speaker 1: that they have put us in. Yeah, you know, look, 559 00:28:45,760 --> 00:28:48,280 Speaker 1: and I always say this, which is that COVID. We 560 00:28:48,320 --> 00:28:50,960 Speaker 1: got lucky like COVID. I'm not diminishing any of the 561 00:28:51,000 --> 00:28:53,120 Speaker 1: millions of people who were killed from COVID, but at 562 00:28:53,120 --> 00:28:54,920 Speaker 1: the end of the day, it only killed like one 563 00:28:55,040 --> 00:28:57,479 Speaker 1: point one percent or whatever of the people who got it. 564 00:28:57,760 --> 00:29:01,000 Speaker 1: If we have a disease that's like one mortality rate 565 00:29:01,200 --> 00:29:02,680 Speaker 1: something like the Spanish FLUI I think it was like 566 00:29:02,720 --> 00:29:06,400 Speaker 1: two percent, that is hundreds of millions of people dead 567 00:29:06,640 --> 00:29:07,960 Speaker 1: and or in this guy, let's say we have a 568 00:29:07,960 --> 00:29:10,680 Speaker 1: disease that has a five percent mortality rate. I mean again, 569 00:29:10,760 --> 00:29:15,320 Speaker 1: I'm talking about significant parts of the US population dead. 570 00:29:15,960 --> 00:29:18,680 Speaker 1: And if that comes in our lifetime, which look, we 571 00:29:18,760 --> 00:29:21,360 Speaker 1: are at one and uh, you know things, we keep 572 00:29:21,400 --> 00:29:23,000 Speaker 1: having one hundred year of floods, so why shouldn't have 573 00:29:23,080 --> 00:29:26,840 Speaker 1: moree hundred year pandemics, we should consider that we will 574 00:29:26,840 --> 00:29:29,080 Speaker 1: be in a situation where and I personally will be 575 00:29:29,120 --> 00:29:30,880 Speaker 1: in that camp. I'm not sure I'm going to trust 576 00:29:30,920 --> 00:29:33,080 Speaker 1: the initial information coming out of the CDC as a 577 00:29:33,080 --> 00:29:35,040 Speaker 1: result of that. Yeah, and that's bad. I think that 578 00:29:35,200 --> 00:29:38,400 Speaker 1: is honestly, really logical response. And then you know, and 579 00:29:38,440 --> 00:29:41,040 Speaker 1: then the other thing that we have is worth pointing 580 00:29:41,080 --> 00:29:43,880 Speaker 1: out is when it was the CDC and other mainstream 581 00:29:43,920 --> 00:29:48,239 Speaker 1: media outlets spreading misinformation, I didn't see them getting those 582 00:29:48,440 --> 00:29:51,520 Speaker 1: warning signs or you know, getting taken down off Twitter, 583 00:29:51,800 --> 00:29:54,840 Speaker 1: big banned from YouTube or modify feed is covered in 584 00:29:54,920 --> 00:29:57,240 Speaker 1: COVID warn We don't even talk about COVID that much. 585 00:29:57,400 --> 00:30:00,360 Speaker 1: My monkey Box monologues have COVID warnings on that, do they. 586 00:30:00,880 --> 00:30:03,800 Speaker 1: I don't understand it. Yeah, So, I mean there's also 587 00:30:03,960 --> 00:30:07,600 Speaker 1: just like very disparate treatment depending on if your misinformation 588 00:30:07,800 --> 00:30:11,160 Speaker 1: is in service of like the sanctioned regime talking points, 589 00:30:11,240 --> 00:30:14,160 Speaker 1: then no problem. If your misinformation goes against that, then 590 00:30:14,240 --> 00:30:15,920 Speaker 1: you know you're gonna get banned, you're gonna get censored, 591 00:30:15,960 --> 00:30:18,680 Speaker 1: et cetera. Even when sometimes in the end, oh, you 592 00:30:18,760 --> 00:30:21,160 Speaker 1: turned out to be right, as in the uh, you know, 593 00:30:21,520 --> 00:30:25,880 Speaker 1: the Lave leak theory at least being a very plausible theory. Yes, okay, guys, 594 00:30:25,960 --> 00:30:32,120 Speaker 1: so we have some new reporting about what documents potentially 595 00:30:32,280 --> 00:30:35,000 Speaker 1: Trump was holding on to, And you know, I just 596 00:30:35,080 --> 00:30:37,680 Speaker 1: I kind of want to warn everybody that there have 597 00:30:37,720 --> 00:30:40,680 Speaker 1: been at there's a lot of reports. You know, it's 598 00:30:40,880 --> 00:30:44,000 Speaker 1: hard to know exactly what's going on here. It's going 599 00:30:44,080 --> 00:30:46,800 Speaker 1: to take a while if we ever figure out exactly 600 00:30:46,800 --> 00:30:48,720 Speaker 1: what documents and why they went in and all of 601 00:30:48,760 --> 00:30:51,400 Speaker 1: these things. But I thought this was interesting enough to 602 00:30:51,720 --> 00:30:53,120 Speaker 1: bring it to you, So let's go ahead. Put this 603 00:30:53,160 --> 00:30:56,800 Speaker 1: Newsweek report up on the screen. According to this reporter, 604 00:30:57,320 --> 00:31:00,520 Speaker 1: he says that the FBI sought documents from Trump that 605 00:31:00,600 --> 00:31:05,200 Speaker 1: he hoarded for years, including about Russia Gate. And I'll 606 00:31:05,240 --> 00:31:07,640 Speaker 1: read you a little bit of this story and then 607 00:31:07,680 --> 00:31:09,959 Speaker 1: we can break it down for you. So they say. 608 00:31:10,000 --> 00:31:12,360 Speaker 1: According to this report, the FBI raid on mar A 609 00:31:12,440 --> 00:31:16,560 Speaker 1: Lago last Monday was specifically intended to recover Trump's personal 610 00:31:16,640 --> 00:31:20,400 Speaker 1: stash of hidden documents. To high level US Intel officials 611 00:31:20,440 --> 00:31:24,960 Speaker 1: tell Newsweek, to justify the unprecedented raid on a former 612 00:31:25,000 --> 00:31:28,719 Speaker 1: president's residence and protect the source who revealed the existence 613 00:31:28,840 --> 00:31:32,400 Speaker 1: of this private hoard of documents, agents went into Trump's 614 00:31:32,480 --> 00:31:36,160 Speaker 1: residence on the pretext that they were seeking all government documents, 615 00:31:36,160 --> 00:31:39,040 Speaker 1: says one official who's been involved in investigation, But the 616 00:31:39,120 --> 00:31:42,880 Speaker 1: true target was this private stash which Justice Department officials 617 00:31:43,000 --> 00:31:47,680 Speaker 1: feared Donald Trump might weaponize, and in particular, one former 618 00:31:47,720 --> 00:31:50,719 Speaker 1: Trump official tells them that he was particularly interested in 619 00:31:50,760 --> 00:31:53,840 Speaker 1: matters related to the Russia hoax and the wrongdoings of 620 00:31:53,920 --> 00:31:56,560 Speaker 1: the deep state. This is someone allied with Trump, and 621 00:31:56,600 --> 00:31:58,560 Speaker 1: they say, I think he felt and I agree that 622 00:31:58,600 --> 00:32:01,200 Speaker 1: these are facts that the American people need to know. 623 00:32:01,400 --> 00:32:05,080 Speaker 1: So effectively, what they're trying to say here is that, 624 00:32:05,240 --> 00:32:06,960 Speaker 1: you know, the government said we're going in to get 625 00:32:07,000 --> 00:32:09,840 Speaker 1: all of these documents that the National Archives has been 626 00:32:09,880 --> 00:32:12,360 Speaker 1: after that you haven't turned all of them over that 627 00:32:12,560 --> 00:32:14,840 Speaker 1: you know, some of which continue to have classified marketings 628 00:32:14,840 --> 00:32:18,080 Speaker 1: and may in fact continue to be highly classified. But 629 00:32:18,200 --> 00:32:22,000 Speaker 1: the thing they were really worried about were these this 630 00:32:22,160 --> 00:32:26,760 Speaker 1: private stash of documents which had mostly to do with russiagain, 631 00:32:26,840 --> 00:32:29,200 Speaker 1: his own theories of like we were spied on and 632 00:32:29,200 --> 00:32:31,640 Speaker 1: that he sees as vindicating, and they felt like he 633 00:32:31,720 --> 00:32:34,800 Speaker 1: may use these which you know, again technically is not 634 00:32:34,800 --> 00:32:37,440 Speaker 1: supposed to be holding on to He may weaponize them 635 00:32:37,440 --> 00:32:40,600 Speaker 1: in some fashion, He may use them during his campaign. 636 00:32:41,000 --> 00:32:44,040 Speaker 1: So there was I mean, honestly, when you look at 637 00:32:44,040 --> 00:32:47,760 Speaker 1: those motivations, it's hard to come come away with any 638 00:32:47,760 --> 00:32:51,160 Speaker 1: other conclusion that there were a lot of political considerations here. Yeah. Now, 639 00:32:51,200 --> 00:32:54,840 Speaker 1: again a lot of this is like single sourced, some 640 00:32:54,920 --> 00:32:58,040 Speaker 1: of it is two sources, So take it for what 641 00:32:58,120 --> 00:33:00,120 Speaker 1: it's worth. But I did think that this was a 642 00:33:00,200 --> 00:33:03,120 Speaker 1: kind of interesting new detail and wrinkle to what we 643 00:33:03,160 --> 00:33:04,720 Speaker 1: know about this search. The one that stuck out to 644 00:33:04,760 --> 00:33:06,800 Speaker 1: me was this quote. The two US officials with direct 645 00:33:06,840 --> 00:33:08,720 Speaker 1: knowledge say that some of the intel might have dealt 646 00:33:08,720 --> 00:33:10,840 Speaker 1: with nukes, but that was not the main focus. Trump 647 00:33:10,920 --> 00:33:14,440 Speaker 1: kept documents that interested him, sometimes Iranian or North Korean, 648 00:33:14,520 --> 00:33:17,640 Speaker 1: sometimes Ukraine or Russia, some foreign leaders. It wasn't subject 649 00:33:17,680 --> 00:33:19,800 Speaker 1: matter per se that was interested. To the Justice Department, 650 00:33:19,960 --> 00:33:22,800 Speaker 1: it was feared that Trump might quote weaponize the information, 651 00:33:22,960 --> 00:33:26,240 Speaker 1: including for personal gain. Trump was particularly interested in matters 652 00:33:26,280 --> 00:33:28,760 Speaker 1: related to the Russia hoax and the wrongdoings of the 653 00:33:28,840 --> 00:33:31,720 Speaker 1: deep state, So it actually makes a hell of a 654 00:33:31,720 --> 00:33:34,120 Speaker 1: lot of sense that he would hang on to any 655 00:33:34,200 --> 00:33:38,160 Speaker 1: of these so called like classified documents. Is obsessed with Russiagate, 656 00:33:38,160 --> 00:33:40,640 Speaker 1: that he would think would exonerate him, but maybe, you 657 00:33:40,680 --> 00:33:43,320 Speaker 1: know whatever in terms of that. And first of all, 658 00:33:43,520 --> 00:33:46,560 Speaker 1: the intelligence community, the CIA, what I remember a lot 659 00:33:46,560 --> 00:33:49,479 Speaker 1: of the initial Russiagate reporting where they were like putin 660 00:33:49,600 --> 00:33:53,280 Speaker 1: directly ordered US election interference was based on some like 661 00:33:53,360 --> 00:33:56,000 Speaker 1: Kremlin source, and they started actually getting worried in the 662 00:33:56,040 --> 00:33:58,440 Speaker 1: press that they were leaking so much information from the 663 00:33:58,440 --> 00:34:01,200 Speaker 1: CIA that it might have given away the identity. So 664 00:34:01,360 --> 00:34:03,200 Speaker 1: it would make sense that that might exist in the 665 00:34:03,200 --> 00:34:05,560 Speaker 1: Trump archives. I mean I can tell you from personal experience, 666 00:34:05,560 --> 00:34:08,280 Speaker 1: I mean interview the guy, he is obsessed with North Korea, 667 00:34:08,400 --> 00:34:11,719 Speaker 1: like obsessed with his interview with or his meeting with 668 00:34:11,800 --> 00:34:14,319 Speaker 1: Kim Jong un. And it would also makes sense that 669 00:34:14,440 --> 00:34:17,680 Speaker 1: I mean Kim Jong un and the North Korean nuclear program. 670 00:34:17,719 --> 00:34:20,120 Speaker 1: And when I say obsessed, I genuinely mean it like 671 00:34:20,200 --> 00:34:23,200 Speaker 1: brought up unprompted. What do you attribute that too? I 672 00:34:23,200 --> 00:34:26,319 Speaker 1: have no idea. I think probably the novelty of it. 673 00:34:26,360 --> 00:34:28,319 Speaker 1: I just I mean, look, it's pretty crazy, right as 674 00:34:28,320 --> 00:34:31,160 Speaker 1: a first US president, yeah, North Korean leader, ever, I 675 00:34:31,160 --> 00:34:34,240 Speaker 1: mean we forget how are I think it's a landmark 676 00:34:34,280 --> 00:34:38,440 Speaker 1: thing from a fascination perspective, like to meet somebody like 677 00:34:38,880 --> 00:34:41,839 Speaker 1: the most reclusive leader on planet Earth from like the 678 00:34:41,840 --> 00:34:44,879 Speaker 1: Hermit regime. It's kind of interesting also. I mean, they 679 00:34:44,920 --> 00:34:48,920 Speaker 1: did create a nuclear weapon basically from nothing, sacrifice so 680 00:34:49,000 --> 00:34:52,280 Speaker 1: much of their world GDP in order to do so. So. Actually, 681 00:34:52,320 --> 00:34:54,440 Speaker 1: the blueprints for how the North Koreans made their nukes 682 00:34:54,480 --> 00:34:56,839 Speaker 1: is the real nightmare scenario because that is how any 683 00:34:56,880 --> 00:35:00,440 Speaker 1: bootstrapped nation on Earth could do so. So intel around 684 00:35:00,560 --> 00:35:03,120 Speaker 1: how exactly all of that worked. That's kind of interesting. 685 00:35:03,360 --> 00:35:06,360 Speaker 1: So Iranians. Of course, he's obsessed with his strike on 686 00:35:06,640 --> 00:35:09,239 Speaker 1: Costum Solemoni and like appearing strong, so it would make 687 00:35:09,280 --> 00:35:12,319 Speaker 1: sense that he also had documents on that. Just this 688 00:35:12,400 --> 00:35:15,240 Speaker 1: fits so much more with the Trump that I knew 689 00:35:15,360 --> 00:35:18,759 Speaker 1: and covered and interviewed several times, which is just narcissism 690 00:35:18,800 --> 00:35:23,120 Speaker 1: and a genuine obsession with proving himself correct and then 691 00:35:23,160 --> 00:35:25,399 Speaker 1: just wanting to hang on the documents for the sake 692 00:35:25,440 --> 00:35:27,520 Speaker 1: of it, in order to prove it to anybody that 693 00:35:27,560 --> 00:35:30,520 Speaker 1: he wanted to. There was a weird incident. You probably 694 00:35:30,520 --> 00:35:33,120 Speaker 1: remember more of the details of this because you're more 695 00:35:33,160 --> 00:35:35,359 Speaker 1: plugged into that world than I was. But there was 696 00:35:35,440 --> 00:35:39,160 Speaker 1: all this like wrangling over making these documents unclassified at 697 00:35:39,200 --> 00:35:41,520 Speaker 1: the time, and there was at some point this back 698 00:35:41,520 --> 00:35:43,279 Speaker 1: when Trump had a Twitter account and not just a 699 00:35:43,360 --> 00:35:47,640 Speaker 1: stupid truth account, he tweeted like, I hereby declassify all 700 00:35:47,680 --> 00:35:50,640 Speaker 1: of the Russia Gate documents. So of course reporters were 701 00:35:50,680 --> 00:35:53,239 Speaker 1: immediately like, I'm so excited, let's spoil them, Let's get 702 00:35:53,280 --> 00:35:56,680 Speaker 1: after it, Let's see what this says. And his administration, 703 00:35:56,760 --> 00:36:00,239 Speaker 1: led by Mark Meadows, actually successfully argued in core art 704 00:36:00,520 --> 00:36:02,640 Speaker 1: that no, no, no, the fact that he tweeted this 705 00:36:02,680 --> 00:36:05,320 Speaker 1: doesn't actually make it so, which is also an interesting 706 00:36:05,360 --> 00:36:08,000 Speaker 1: wrinkle in terms of, you know, their argument that if 707 00:36:08,000 --> 00:36:12,080 Speaker 1: he even declassified something in his mind, then it's totally declassified. 708 00:36:12,400 --> 00:36:15,840 Speaker 1: Because what they argue during his administration was no, just 709 00:36:15,880 --> 00:36:17,759 Speaker 1: the tweet isn't enough. We got to go through the 710 00:36:17,760 --> 00:36:19,959 Speaker 1: formal process and we haven't done that, and they want 711 00:36:19,960 --> 00:36:23,520 Speaker 1: in court on that question. So there has long been 712 00:36:23,800 --> 00:36:27,400 Speaker 1: a deep interest and a lot of drama around whatever 713 00:36:27,480 --> 00:36:31,560 Speaker 1: this like stash of Russiagate documents. Ultimately is that he 714 00:36:31,640 --> 00:36:35,160 Speaker 1: feels is you know, should be exonerating to him and 715 00:36:35,480 --> 00:36:38,200 Speaker 1: you know, maybe has some of the details about the 716 00:36:38,239 --> 00:36:41,400 Speaker 1: wilder out there theories of them that like thoughbonmameister was 717 00:36:41,440 --> 00:36:43,600 Speaker 1: directly spying on him that went sort of above and 718 00:36:43,640 --> 00:36:46,799 Speaker 1: beyond what even the actual facts of Russiagate ultimately were. 719 00:36:47,400 --> 00:36:50,240 Speaker 1: This is what I would just view this as one 720 00:36:50,320 --> 00:36:53,399 Speaker 1: potential theory of the case, given that this is the 721 00:36:53,400 --> 00:36:57,520 Speaker 1: only reporter that has sort of gotten any information about this. 722 00:36:57,640 --> 00:37:00,520 Speaker 1: But it is interesting, and you know, it might uptail 723 00:37:00,600 --> 00:37:04,000 Speaker 1: with like the reporting that they went in his private safe, 724 00:37:04,040 --> 00:37:07,080 Speaker 1: and it would make sense that they go into the 725 00:37:07,120 --> 00:37:10,280 Speaker 1: storage room where all the random documents that the National 726 00:37:10,360 --> 00:37:14,040 Speaker 1: Archives are interested in. They grab that as almost like protextual, 727 00:37:14,920 --> 00:37:18,280 Speaker 1: but what they're really after is this stash of whatever 728 00:37:18,600 --> 00:37:23,280 Speaker 1: was in his private safe that they went in and retrieved. Also, 729 00:37:23,400 --> 00:37:26,560 Speaker 1: so I don't know, putting it out there, keep it 730 00:37:26,600 --> 00:37:30,400 Speaker 1: in mind one potential theory. Will see ultimately if anything 731 00:37:30,440 --> 00:37:32,560 Speaker 1: comes of it. Yeah, I mean it's very interesting. That 732 00:37:32,600 --> 00:37:34,600 Speaker 1: case you're referring to actually does bear a little bit 733 00:37:34,640 --> 00:37:37,000 Speaker 1: more explanation. The New York Times tried to sue the 734 00:37:37,080 --> 00:37:39,719 Speaker 1: US government for foiling those documents, and they won that 735 00:37:39,840 --> 00:37:43,640 Speaker 1: case in a court where the judge agreed that's simply 736 00:37:43,680 --> 00:37:48,759 Speaker 1: saying documents are declassified is not enough to go through 737 00:37:49,000 --> 00:37:51,239 Speaker 1: the process that is going to forego a lot of 738 00:37:51,239 --> 00:37:53,400 Speaker 1: his defense in the future in the sport, given that 739 00:37:53,480 --> 00:37:57,719 Speaker 1: his own administration successfully argued that. They argued in court, no, no, no, 740 00:37:57,920 --> 00:38:01,200 Speaker 1: just him saying it, that's not how it now, they 741 00:38:01,200 --> 00:38:03,200 Speaker 1: want to say, not only does he he doesn't even 742 00:38:03,239 --> 00:38:04,759 Speaker 1: have to say it. If he just thinks that in 743 00:38:04,800 --> 00:38:07,040 Speaker 1: his mind, if it just happens to be brought home 744 00:38:07,080 --> 00:38:10,000 Speaker 1: with him as people bring their work home, that's enough 745 00:38:10,040 --> 00:38:12,840 Speaker 1: to declassify it. When during their administration they had the 746 00:38:12,840 --> 00:38:16,720 Speaker 1: polar opposite stance in court. So that is interesting. Also 747 00:38:16,840 --> 00:38:20,120 Speaker 1: interesting is you know, in the wake of the FBI 748 00:38:20,440 --> 00:38:22,480 Speaker 1: rate of mar A Lago, there were a lot of 749 00:38:22,520 --> 00:38:24,839 Speaker 1: people on the right who jumped down and were immediately like, 750 00:38:24,920 --> 00:38:29,160 Speaker 1: defund the FBI. And then as more details came down 751 00:38:29,480 --> 00:38:33,240 Speaker 1: and you know, some sort of cooler, somewhat cooler hads 752 00:38:33,239 --> 00:38:35,840 Speaker 1: prevailed charge to be a lot of discomfort with the 753 00:38:35,960 --> 00:38:39,880 Speaker 1: defund the FBI rhetoric because it obviously echoes very directly 754 00:38:39,920 --> 00:38:42,480 Speaker 1: the defund the police rhetoric, which they have been attacking 755 00:38:42,560 --> 00:38:45,319 Speaker 1: and you know, using to beat democrats over the head with. 756 00:38:45,800 --> 00:38:48,799 Speaker 1: So the latest person to kind of back away from 757 00:38:48,840 --> 00:38:52,279 Speaker 1: the defund the FBI rhetoric is Mike Pence. Let's go 758 00:38:52,320 --> 00:38:54,440 Speaker 1: and put this up on the screen. So he says, 759 00:38:54,520 --> 00:38:57,440 Speaker 1: calls to defund the FBI are just as wrong as 760 00:38:57,520 --> 00:38:59,960 Speaker 1: calls to defund the police. But Attorney General Garland and 761 00:39:00,000 --> 00:39:01,960 Speaker 1: the DOSJA must give a full accounting to the American 762 00:39:02,000 --> 00:39:04,279 Speaker 1: people as to why the unprecedent in search of the 763 00:39:04,280 --> 00:39:06,759 Speaker 1: president personal residents of President Trump was taken, and he 764 00:39:06,840 --> 00:39:09,239 Speaker 1: must do so now. So Pennce trying to kind of 765 00:39:09,239 --> 00:39:12,240 Speaker 1: have it both ways here signal that he's a little different, 766 00:39:12,320 --> 00:39:15,360 Speaker 1: a little more serious minded, et cetera, et cetera, but 767 00:39:15,520 --> 00:39:19,120 Speaker 1: still ultimately backing up the Trump talking points. As we've 768 00:39:19,120 --> 00:39:21,759 Speaker 1: brought you before, like every single one of the theoretical 769 00:39:21,800 --> 00:39:24,319 Speaker 1: competitors to Trump immediately bent they and was on his 770 00:39:24,360 --> 00:39:27,080 Speaker 1: talking points like that night, they were right on top 771 00:39:27,120 --> 00:39:29,600 Speaker 1: of it. The other thing that bears mentoring mentioning here 772 00:39:29,640 --> 00:39:33,480 Speaker 1: with regards to Pence, he made these comments a speech 773 00:39:33,480 --> 00:39:35,840 Speaker 1: in New Hampshire, which, of course, you know, anytime anyone 774 00:39:35,880 --> 00:39:38,919 Speaker 1: drops to New Hampshire that is eyebrow raising in terms 775 00:39:38,960 --> 00:39:41,680 Speaker 1: of presidential ambitions. And the other thing that he said 776 00:39:41,680 --> 00:39:45,200 Speaker 1: that made news is he floated the idea that he 777 00:39:45,520 --> 00:39:48,680 Speaker 1: might be open to testifying in front of the January 778 00:39:48,760 --> 00:39:51,360 Speaker 1: sixth Committee. Some of the initial headlines there were a 779 00:39:51,360 --> 00:39:53,920 Speaker 1: little bit more definitive. When you read or listen to 780 00:39:53,960 --> 00:39:56,480 Speaker 1: the entire context of his comments, it's very clear he's 781 00:39:56,480 --> 00:39:59,560 Speaker 1: sort of like, well maybe I would, but not a 782 00:39:59,560 --> 00:40:01,960 Speaker 1: defindent answer as to whether he would do that or not. Yeah, 783 00:40:02,080 --> 00:40:04,359 Speaker 1: it's very interesting, and you know Pence was already being 784 00:40:04,400 --> 00:40:06,600 Speaker 1: a tatucker apparently went on lor Ingram Show last night 785 00:40:06,640 --> 00:40:08,839 Speaker 1: and he said, quote, Pence should fire anyone who's telling 786 00:40:08,880 --> 00:40:10,680 Speaker 1: him to go to New Hampshire and run for president 787 00:40:10,719 --> 00:40:12,960 Speaker 1: and give dumb speeches about the FBI when he has 788 00:40:13,000 --> 00:40:15,880 Speaker 1: no idea what he's talking about. So drawing the IYRE, 789 00:40:16,040 --> 00:40:18,120 Speaker 1: I think of some of the MAGA people in the 790 00:40:18,120 --> 00:40:20,800 Speaker 1: party for doing this. I also just think it reveals 791 00:40:20,920 --> 00:40:23,200 Speaker 1: with Pence, it's like, what are you doing here? Man? 792 00:40:23,680 --> 00:40:26,160 Speaker 1: What is the point of this? First of all, the 793 00:40:26,200 --> 00:40:28,440 Speaker 1: idea that you have any credibility with any of the 794 00:40:28,480 --> 00:40:31,120 Speaker 1: people who would be wanting to defunding the FBI as 795 00:40:31,120 --> 00:40:34,160 Speaker 1: a result of the raid is preposterous. Like all the 796 00:40:34,200 --> 00:40:37,040 Speaker 1: people who have followed Pence are you know, people who 797 00:40:37,040 --> 00:40:41,200 Speaker 1: are not maga quote unquote probably much more traditional conservatives. 798 00:40:41,360 --> 00:40:45,960 Speaker 1: But second, it's like he's still trying to He's still 799 00:40:46,000 --> 00:40:49,400 Speaker 1: trying to square the or like square the circle. Yeah, 800 00:40:49,440 --> 00:40:52,720 Speaker 1: and still try to be competitive in a GOP primary. 801 00:40:52,719 --> 00:40:54,800 Speaker 1: It's like, what are you doing here? That's what I 802 00:40:54,800 --> 00:40:57,239 Speaker 1: don't think. I think there were people who looked at 803 00:40:57,239 --> 00:40:59,719 Speaker 1: how Glenn Youngkin was able to win for governor and 804 00:41:00,480 --> 00:41:02,800 Speaker 1: this a little bit yesterday with regards to Liz Shaney, 805 00:41:02,800 --> 00:41:04,480 Speaker 1: who looked at that model and they're like, oh, this 806 00:41:04,640 --> 00:41:06,600 Speaker 1: is how to do it because he didn't go all 807 00:41:06,640 --> 00:41:08,160 Speaker 1: the way in. He kind of kept his foot and 808 00:41:08,200 --> 00:41:10,840 Speaker 1: both did enough to like appease the Magabase and not 809 00:41:10,880 --> 00:41:13,120 Speaker 1: have them totally come after him like saying some things, 810 00:41:13,280 --> 00:41:16,759 Speaker 1: we need election reform, you know, wink wink, non non, 811 00:41:17,120 --> 00:41:19,600 Speaker 1: but not go all the way in. But Glen young 812 00:41:19,680 --> 00:41:22,320 Speaker 1: Kin was not on a ballot and up directly against 813 00:41:22,320 --> 00:41:25,279 Speaker 1: Donald Trump. So it's just a totally different situation than Also, 814 00:41:25,280 --> 00:41:28,319 Speaker 1: as we talked about yesterday, they had to basically rig 815 00:41:28,360 --> 00:41:30,920 Speaker 1: that primary and give it to him number one. He 816 00:41:30,960 --> 00:41:33,080 Speaker 1: was given in ranked choice voting at a prime at 817 00:41:33,080 --> 00:41:35,920 Speaker 1: the convention, a connition. They didn't have a regular prime. 818 00:41:36,040 --> 00:41:38,719 Speaker 1: Virginia has weird rules about the party is able to 819 00:41:38,760 --> 00:41:41,080 Speaker 1: pick from this array of options of how they want 820 00:41:41,120 --> 00:41:43,279 Speaker 1: to run the primary and say they did it in 821 00:41:43,320 --> 00:41:46,480 Speaker 1: the way that was the most elite centric to essentially 822 00:41:46,520 --> 00:41:49,480 Speaker 1: protect him from having to go all the way in 823 00:41:49,560 --> 00:41:52,279 Speaker 1: on stop the Steal and whatever other Trump nonsense was 824 00:41:52,320 --> 00:41:55,200 Speaker 1: going on at the time. So Glen Youngkin is not 825 00:41:55,280 --> 00:41:57,680 Speaker 1: the model for how you're going to defeat Trump in 826 00:41:57,719 --> 00:42:01,960 Speaker 1: a head to head race. You know, I think that 827 00:42:02,120 --> 00:42:05,440 Speaker 1: Pence is actually really good example of this case that 828 00:42:05,600 --> 00:42:08,719 Speaker 1: we both have been making that the Republican Party is 829 00:42:08,760 --> 00:42:11,439 Speaker 1: all about where you stand on Trump. Pence was with 830 00:42:11,560 --> 00:42:16,400 Speaker 1: Trump every single step of the way without fail for 831 00:42:16,520 --> 00:42:20,080 Speaker 1: his entire four years of his presidency. Never could you 832 00:42:20,120 --> 00:42:21,960 Speaker 1: get an inch of space every time. I remember when 833 00:42:21,960 --> 00:42:24,200 Speaker 1: they would do those weird meetings and Trump would like 834 00:42:24,239 --> 00:42:26,959 Speaker 1: make everybody around the table say something nice about him, 835 00:42:27,000 --> 00:42:31,280 Speaker 1: like Pence was the most disgusting bo boot liquor, completely 836 00:42:31,280 --> 00:42:34,720 Speaker 1: fealty to him. And then the minute that he does 837 00:42:34,880 --> 00:42:37,920 Speaker 1: one thing that is, you know, goes against Trump's wishes, 838 00:42:38,000 --> 00:42:40,479 Speaker 1: that's it. He's dead to them, and they're running around, 839 00:42:40,560 --> 00:42:43,719 Speaker 1: you know, saying, hang Mike Pence. So he is the 840 00:42:43,800 --> 00:42:47,040 Speaker 1: perfect example of how there is no middle ground on 841 00:42:47,080 --> 00:42:49,759 Speaker 1: this not in the Republican Party. Not now you're either 842 00:42:49,840 --> 00:42:51,759 Speaker 1: all the way in with him or you are all 843 00:42:51,800 --> 00:42:54,719 Speaker 1: the way out and you were Liz Cheney, and he's 844 00:42:54,760 --> 00:42:57,080 Speaker 1: still trying to kind of have a foot in both camps. 845 00:42:57,400 --> 00:42:59,799 Speaker 1: Good luck. It's not gonna work. It's just not gonna work. 846 00:43:00,080 --> 00:43:02,759 Speaker 1: That's my entire monologue today. It's completely delusional. I really 847 00:43:02,800 --> 00:43:05,719 Speaker 1: don't understand where these people seem to think that they 848 00:43:05,719 --> 00:43:09,760 Speaker 1: can have any credibility overall with the MAGA base. But listen, 849 00:43:09,800 --> 00:43:11,279 Speaker 1: I mean, they'll find out the heart. I guess it'll 850 00:43:11,320 --> 00:43:13,400 Speaker 1: be fun to cover. I'll enjoy watching him. He's going 851 00:43:13,440 --> 00:43:15,239 Speaker 1: to actually run in the primary. Gun. I don't know 852 00:43:15,280 --> 00:43:17,120 Speaker 1: if he's that delusional, it's possible. I mean, you know, 853 00:43:17,160 --> 00:43:19,680 Speaker 1: he thinks she's sent here on a mission from God. Yeah, like, 854 00:43:19,680 --> 00:43:21,399 Speaker 1: if anybody was going to do it'd probably be him. 855 00:43:21,440 --> 00:43:28,680 Speaker 1: So yeah, I don't know Liz Cheney. So we alluded 856 00:43:28,719 --> 00:43:31,440 Speaker 1: to this in our live reaction yesterday, but we just 857 00:43:31,440 --> 00:43:33,560 Speaker 1: had to play the clip for everybody Liz Cheney in 858 00:43:33,640 --> 00:43:38,680 Speaker 1: her lost speech, likening herself to Abraham Lincoln and opening 859 00:43:38,760 --> 00:43:41,359 Speaker 1: up the door to a future presidential run. Let's take 860 00:43:41,400 --> 00:43:45,840 Speaker 1: a listen. The great and original champion of our party, 861 00:43:45,880 --> 00:43:49,799 Speaker 1: Abraham Lincoln, was defeated in elections for the Senate and 862 00:43:49,840 --> 00:43:54,279 Speaker 1: the House before he won the most important election of all. 863 00:43:54,320 --> 00:43:58,960 Speaker 1: Lincoln ultimately prevailed. He saved our union, and he defined 864 00:43:59,040 --> 00:44:03,520 Speaker 1: our obligation as Americans for all of history. Yeah, you're 865 00:44:03,600 --> 00:44:06,520 Speaker 1: the same as Abraham Lincoln. And when she was pressed 866 00:44:06,600 --> 00:44:09,359 Speaker 1: as to what exactly that meant, why she dropping all 867 00:44:09,360 --> 00:44:11,800 Speaker 1: these hints, Savannah Guthrie on the Today Show tried to 868 00:44:11,800 --> 00:44:13,600 Speaker 1: get an answer out of her. Let's take a listen 869 00:44:13,640 --> 00:44:15,600 Speaker 1: to that. You didn't say yes or no. And that's 870 00:44:15,600 --> 00:44:17,640 Speaker 1: fine if you're thinking about it. But are you thinking 871 00:44:17,680 --> 00:44:22,799 Speaker 1: about it? Are you thinking about running for president? That's 872 00:44:22,800 --> 00:44:25,440 Speaker 1: a decision that I'm going to make in the coming month, Savanna. 873 00:44:25,440 --> 00:44:27,400 Speaker 1: I'm not going to make any announcements here this morning, 874 00:44:27,520 --> 00:44:30,680 Speaker 1: but it is something that I'm thinking about. So she's 875 00:44:30,719 --> 00:44:32,879 Speaker 1: thinking about it, Crystal, she's thinking about it. She might 876 00:44:32,920 --> 00:44:35,240 Speaker 1: be right. I have a lot to talk about. Very excited. 877 00:44:35,320 --> 00:44:37,920 Speaker 1: She's got billionaire money behind her. I mean, I don't know. 878 00:44:37,960 --> 00:44:39,280 Speaker 1: I mean, you and I were talking about this yesterday, 879 00:44:39,320 --> 00:44:40,640 Speaker 1: but I honestly think she would fare better in a 880 00:44:40,680 --> 00:44:44,680 Speaker 1: Democratic primary, just amongst the Russia Gate, like, not saying 881 00:44:44,680 --> 00:44:47,480 Speaker 1: that she's aligned with Russiagate, but amongst that type of 882 00:44:47,680 --> 00:44:51,799 Speaker 1: vote the Nicole Wallace obsessed like Rachel Maddow figure, she's 883 00:44:51,840 --> 00:44:54,239 Speaker 1: a hero to all of them. Because this gets back 884 00:44:54,239 --> 00:44:56,239 Speaker 1: to what we just talked about with Pence. All that 885 00:44:56,320 --> 00:44:59,160 Speaker 1: matters is where you stand on Trump, which is nuts, 886 00:44:59,320 --> 00:45:03,040 Speaker 1: you know, but it's true that basically defines American politics. 887 00:45:03,120 --> 00:45:04,920 Speaker 1: Yet I mean, this is a woman who voted ninety 888 00:45:04,920 --> 00:45:06,799 Speaker 1: three percent of the time with Donald Trump, who was 889 00:45:06,800 --> 00:45:10,240 Speaker 1: there reliably on basically every issue. I mean, she campaigned 890 00:45:10,280 --> 00:45:13,359 Speaker 1: for him this last time around. People feel like she's 891 00:45:13,400 --> 00:45:17,439 Speaker 1: been resistance resistance forever, but this is a very very 892 00:45:17,520 --> 00:45:20,279 Speaker 1: new development. And you know, I applaud her for doing 893 00:45:20,320 --> 00:45:22,839 Speaker 1: the right thing on impeachment, I really do, but that 894 00:45:22,880 --> 00:45:27,239 Speaker 1: doesn't erase all of the years of truly terrible ideology, 895 00:45:27,520 --> 00:45:30,640 Speaker 1: I mean, justifying toward her all the worst abuses of 896 00:45:30,680 --> 00:45:33,560 Speaker 1: her dad in the Bush administration. She was there to 897 00:45:34,040 --> 00:45:37,839 Speaker 1: just reliably defend and carry waterforre and continues to hold 898 00:45:37,880 --> 00:45:41,239 Speaker 1: that ideology to this day. So anyone who is the 899 00:45:41,320 --> 00:45:45,080 Speaker 1: Democrat or who considers themselves remotely left of center, like 900 00:45:45,239 --> 00:45:48,080 Speaker 1: Liz Cheney, is not your friend, she is not your ally, 901 00:45:48,360 --> 00:45:50,120 Speaker 1: but you're one hundred percent correct if you just look 902 00:45:50,160 --> 00:45:53,120 Speaker 1: at her approval ratings today much higher with Democrats than 903 00:45:53,160 --> 00:45:56,600 Speaker 1: with any other group. So there's you know, she's not 904 00:45:56,600 --> 00:45:59,120 Speaker 1: going to run in the Democratic primary because her whole 905 00:45:59,200 --> 00:46:01,840 Speaker 1: thing is like defeating Trump, that's her whole thing, and 906 00:46:01,880 --> 00:46:03,640 Speaker 1: so she doesn't want to run. I think in the 907 00:46:03,640 --> 00:46:07,040 Speaker 1: Democratic primary. The other two options are running as an independent. 908 00:46:08,000 --> 00:46:11,280 Speaker 1: You know how resistance liberals feel about third party runs, 909 00:46:11,880 --> 00:46:15,840 Speaker 1: freak the f out, okay, And that's why Savannah Guthrie 910 00:46:15,840 --> 00:46:17,840 Speaker 1: I think, is so like touchy there with her of 911 00:46:17,920 --> 00:46:20,680 Speaker 1: like are you where aren't you and pushing her aggressively. 912 00:46:21,520 --> 00:46:24,080 Speaker 1: Not that Savannah doesn't do that in other instances as well, 913 00:46:24,080 --> 00:46:28,040 Speaker 1: but because there is so much sensitivity around this idea 914 00:46:28,040 --> 00:46:29,919 Speaker 1: of having, oh my god, what if we have other 915 00:46:30,000 --> 00:46:33,399 Speaker 1: choices and there's more democracy, and you know, voters might 916 00:46:33,440 --> 00:46:35,759 Speaker 1: do the wrong thing and back the wrong candidate and 917 00:46:35,920 --> 00:46:38,359 Speaker 1: the spoiler effect all of that. So anyway, I think 918 00:46:38,440 --> 00:46:42,080 Speaker 1: resistance liberals would freak out if she ran as an independent, 919 00:46:42,120 --> 00:46:45,000 Speaker 1: and that ultimately is her strongest base, So that doesn't 920 00:46:45,000 --> 00:46:47,479 Speaker 1: make a lot of sense. The only thing that makes 921 00:46:47,520 --> 00:46:50,080 Speaker 1: any sense to me is her trying to run in 922 00:46:50,120 --> 00:46:53,880 Speaker 1: the Republican primary directly against Trump. And the case for that, 923 00:46:54,120 --> 00:46:56,520 Speaker 1: which I think Ron Brownstein laid out in The Atlantic, 924 00:46:56,600 --> 00:47:00,279 Speaker 1: is basically like, look, she's not delusional and the Reid 925 00:47:00,320 --> 00:47:02,880 Speaker 1: Hoffman's of the world aren't delusional enough to think she 926 00:47:02,920 --> 00:47:05,920 Speaker 1: could beat Trump in a head to head race. The 927 00:47:05,960 --> 00:47:07,960 Speaker 1: goal would be for her to get in there, for 928 00:47:08,000 --> 00:47:12,160 Speaker 1: her to be, you know, going after him, digging him 929 00:47:12,239 --> 00:47:15,880 Speaker 1: up in terms of weakening him for the general election. 930 00:47:17,040 --> 00:47:20,840 Speaker 1: So there's a couple of problems with that. First of all, look, 931 00:47:21,320 --> 00:47:23,680 Speaker 1: you all know, because we've been arguing it here and 932 00:47:23,719 --> 00:47:25,680 Speaker 1: I've been debating with Kyle about it. I think the 933 00:47:25,960 --> 00:47:29,120 Speaker 1: Trump has the Republican nomination. Like I wouldn't say it's 934 00:47:29,120 --> 00:47:32,080 Speaker 1: a complete lot, because God knows what could ultimately happen, 935 00:47:32,160 --> 00:47:34,880 Speaker 1: but very hard to imagine someone actually being able to 936 00:47:34,880 --> 00:47:37,000 Speaker 1: defeat him in the Republican primary. But if you're someone 937 00:47:37,000 --> 00:47:40,719 Speaker 1: who believes that Ronda Santis could take him out, Liz 938 00:47:40,800 --> 00:47:42,680 Speaker 1: Chaney in the Republican primary is kind of a problem 939 00:47:42,719 --> 00:47:44,759 Speaker 1: for you. She's a spoiler, right exactly because she has 940 00:47:45,200 --> 00:47:48,080 Speaker 1: Because listen, you have to assume there's some percent of 941 00:47:48,120 --> 00:47:52,759 Speaker 1: the Republican electorate that is either actively anti Trump, that's 942 00:47:52,840 --> 00:47:56,759 Speaker 1: relatively small person there's some percentage, or could potentially be 943 00:47:56,880 --> 00:47:59,879 Speaker 1: swayed to another candidate. Well, if you have Liz chaneing theirs, 944 00:47:59,880 --> 00:48:02,200 Speaker 1: sh she's going to suck up some of that vote, 945 00:48:02,239 --> 00:48:06,120 Speaker 1: She's going to divide the potential theoretical anti Trump vote, 946 00:48:06,160 --> 00:48:08,920 Speaker 1: and then you're not left with anything close to sufficient 947 00:48:08,960 --> 00:48:11,080 Speaker 1: margins to be able to defeat him. Now, I again, 948 00:48:11,200 --> 00:48:12,799 Speaker 1: I think it's a fantasy that you could do that 949 00:48:12,840 --> 00:48:14,759 Speaker 1: in the first place. But if you're someone who thinks 950 00:48:14,760 --> 00:48:16,840 Speaker 1: that's possible, then Liz Cheney is a problem for you 951 00:48:16,880 --> 00:48:18,799 Speaker 1: in the primary. But there's another problem too, which is 952 00:48:19,680 --> 00:48:22,680 Speaker 1: our Republican's going to let Liz Cheney on a debate stage, 953 00:48:22,760 --> 00:48:24,960 Speaker 1: because I have my doubts about that, and there's a 954 00:48:25,080 --> 00:48:28,120 Speaker 1: very easy way, and Ron Bramstein does point this out 955 00:48:28,160 --> 00:48:30,520 Speaker 1: as our article, that they could keep her off the stage, 956 00:48:30,760 --> 00:48:34,759 Speaker 1: which is to institute the same party loyalty pledge that 957 00:48:34,800 --> 00:48:37,319 Speaker 1: they made the candidates in twenty sixteen sign when they 958 00:48:37,320 --> 00:48:40,520 Speaker 1: were worried that Trump wouldn't ultimately back their nominee. So 959 00:48:40,640 --> 00:48:43,200 Speaker 1: all you'd have to say is okay, Liz Cheney, then 960 00:48:43,239 --> 00:48:46,000 Speaker 1: you have to sign an agreement that you are going 961 00:48:46,040 --> 00:48:48,640 Speaker 1: to back the nominee no matter who it is. And 962 00:48:48,680 --> 00:48:51,000 Speaker 1: we already know, of course, you wouldn't back the nominee 963 00:48:51,000 --> 00:48:52,719 Speaker 1: if it's Trump, and she's also says she wouldn't back 964 00:48:52,760 --> 00:48:55,759 Speaker 1: the nominee if it's DeSantis, So that effectively keeps her 965 00:48:55,840 --> 00:48:59,120 Speaker 1: off of the debate stage and protects him from having 966 00:48:59,160 --> 00:49:01,560 Speaker 1: to face any of the critiques that she would have. So, 967 00:49:02,560 --> 00:49:05,120 Speaker 1: you know, I like maybe that would work out. I 968 00:49:05,120 --> 00:49:07,560 Speaker 1: think it actually would be interesting to see Liz Cheney 969 00:49:07,640 --> 00:49:10,160 Speaker 1: debate Trump and go after him on at least she 970 00:49:10,239 --> 00:49:12,279 Speaker 1: has something to say, as I was saying yesterday, at 971 00:49:12,320 --> 00:49:14,799 Speaker 1: least she has a case that she can make in 972 00:49:14,840 --> 00:49:18,520 Speaker 1: a critique that is a real critique. But it's hard 973 00:49:18,560 --> 00:49:21,880 Speaker 1: for me to imagine the rn C, which is now 974 00:49:22,200 --> 00:49:25,279 Speaker 1: stacked with Trump Lackey's, and whose fundraising is tied up 975 00:49:25,320 --> 00:49:28,279 Speaker 1: with the Trump fundraising machine, actually letting her on the 976 00:49:28,280 --> 00:49:30,360 Speaker 1: stage to do that. Oh absolutely, I mean, look, it 977 00:49:30,400 --> 00:49:32,719 Speaker 1: happened in twenty twenty. Remember there were all those like 978 00:49:32,880 --> 00:49:35,440 Speaker 1: Mark Sandford or other figures who were trying to run 979 00:49:35,440 --> 00:49:37,279 Speaker 1: against Trump, and the GOP was just like, no, it's 980 00:49:37,280 --> 00:49:39,839 Speaker 1: not gonna happen. I did. I kind of forgot about it. 981 00:49:39,920 --> 00:49:41,800 Speaker 1: They were like, no, we're not gonna have any debates. 982 00:49:41,800 --> 00:49:43,680 Speaker 1: They affirmed a resolution which is like Trump is the 983 00:49:43,719 --> 00:49:46,200 Speaker 1: twenty twenty nominee, and there is no discussion about that. 984 00:49:46,200 --> 00:49:47,880 Speaker 1: It's going to do the exact same thing again. And 985 00:49:48,000 --> 00:49:50,360 Speaker 1: it's so obvious. Yeah, and it's just funny because Trump 986 00:49:50,440 --> 00:49:53,040 Speaker 1: right now is raking in cash. I forgot to mention 987 00:49:53,120 --> 00:49:55,680 Speaker 1: this in our Trump block. He is making a million 988 00:49:55,760 --> 00:49:59,360 Speaker 1: dollars a day in fundraising after the FBI raids. So 989 00:49:59,440 --> 00:50:03,160 Speaker 1: congrats also to everybody. Well, and that's also a problem 990 00:50:03,200 --> 00:50:07,520 Speaker 1: for the Republican Party writ large, because he sucks up 991 00:50:07,680 --> 00:50:10,880 Speaker 1: all of the donations and so all these senate candidates 992 00:50:10,960 --> 00:50:15,360 Speaker 1: around there flailing around running the terrible campaigns, they're struggling 993 00:50:15,600 --> 00:50:19,239 Speaker 1: for online cash because he's like pigging it all up. 994 00:50:19,719 --> 00:50:23,880 Speaker 1: And if he decides to launch his presidential campaign before 995 00:50:23,920 --> 00:50:26,440 Speaker 1: the midterms, which he may well do, that's going to 996 00:50:26,480 --> 00:50:29,120 Speaker 1: be even more of an issue for them as we 997 00:50:29,160 --> 00:50:31,239 Speaker 1: look forward. Yeah. Absolutely, all right, let's give you a 998 00:50:31,239 --> 00:50:34,040 Speaker 1: little bit of an update on Jared Kushner. A lot 999 00:50:34,120 --> 00:50:35,839 Speaker 1: of people have a lot of feelings about this, man, 1000 00:50:35,920 --> 00:50:38,279 Speaker 1: it's kind of a little horseshoe moment. Actually, he has 1001 00:50:38,320 --> 00:50:41,279 Speaker 1: a new book coming out. It's called Breaking History. And 1002 00:50:41,640 --> 00:50:43,880 Speaker 1: I've got a couple of reviews for you here that 1003 00:50:44,440 --> 00:50:48,200 Speaker 1: not too impressed with this memoir of mister Kushner in 1004 00:50:48,239 --> 00:50:50,600 Speaker 1: his time in the White House. So first one is 1005 00:50:50,640 --> 00:50:53,800 Speaker 1: from The New York Times, which has some amazing language 1006 00:50:53,840 --> 00:50:55,160 Speaker 1: in here. Let's go ahead and put this up on 1007 00:50:55,200 --> 00:50:58,680 Speaker 1: the screen. Okay. So the New York Times, in this 1008 00:50:58,960 --> 00:51:02,360 Speaker 1: majestically written pair says, this book is like a tour 1009 00:51:02,440 --> 00:51:06,320 Speaker 1: of a once majestic eighteenth century wooden house now burned 1010 00:51:06,360 --> 00:51:10,439 Speaker 1: to its foundations, that focuses solely on and rejoices in 1011 00:51:10,560 --> 00:51:14,279 Speaker 1: what's left amid the ashes, the two singed bathtubs, the 1012 00:51:14,320 --> 00:51:19,560 Speaker 1: gravel driveway, and the mailbox. Kushner's feelty to Trump remains absolute. 1013 00:51:19,800 --> 00:51:23,640 Speaker 1: Reading this book reminded me of watching a cat lick 1014 00:51:23,760 --> 00:51:29,080 Speaker 1: a dog's I goo, which is kind of amazing. I 1015 00:51:29,080 --> 00:51:30,400 Speaker 1: have a cat and a dog. I've never seen that. 1016 00:51:30,440 --> 00:51:32,880 Speaker 1: You've never seen that. They don't have that kind of relationship. 1017 00:51:33,000 --> 00:51:34,919 Speaker 1: They do eat each other's food, though, which drives me nuts. 1018 00:51:35,160 --> 00:51:37,520 Speaker 1: I'm not sure who's eating what and where they've had enough. 1019 00:51:38,960 --> 00:51:42,160 Speaker 1: So you've got the liberals not impressed with Kushner, and 1020 00:51:42,200 --> 00:51:45,319 Speaker 1: I think for good reason. As a representative of the left, 1021 00:51:45,320 --> 00:51:47,160 Speaker 1: I will say we are also none too impressed with 1022 00:51:47,480 --> 00:51:50,480 Speaker 1: impressed with Kushner. In particular, I mean, of all the 1023 00:51:50,680 --> 00:51:54,279 Speaker 1: shameless cashing in and grifting off the Trumpet ministry. He 1024 00:51:54,360 --> 00:51:58,279 Speaker 1: really takes the cake. The two billion dollars that he 1025 00:51:58,360 --> 00:52:03,239 Speaker 1: got into his investment from from Saudi Arabia is truly 1026 00:52:03,640 --> 00:52:08,040 Speaker 1: truly grotesque and disgusting and raises a lot of questions 1027 00:52:08,120 --> 00:52:11,279 Speaker 1: about if there was another Trump White House, who they 1028 00:52:11,280 --> 00:52:13,360 Speaker 1: would serve, whose interests they really would be serving, and 1029 00:52:13,400 --> 00:52:15,400 Speaker 1: also raises a lot of questions about what exactly they 1030 00:52:15,400 --> 00:52:17,040 Speaker 1: were doing last time they were in when they were 1031 00:52:17,040 --> 00:52:21,280 Speaker 1: giving Saudi Arabia absolutely everything that that country could possibly 1032 00:52:21,320 --> 00:52:23,319 Speaker 1: want up to and including, you know, carrying water and 1033 00:52:23,320 --> 00:52:26,200 Speaker 1: covering for them with regards to Jamal Kushoki. So we've 1034 00:52:26,239 --> 00:52:28,840 Speaker 1: got the libs, We've got the left. We also have 1035 00:52:29,120 --> 00:52:34,000 Speaker 1: Peter Navarro, representative of the right, who also despises Jared 1036 00:52:34,040 --> 00:52:37,040 Speaker 1: Kushner and his new book, Let's go and put this 1037 00:52:37,080 --> 00:52:41,160 Speaker 1: one up. He titles his review The Clown Prince of 1038 00:52:41,239 --> 00:52:45,000 Speaker 1: Pennsylvania Avenue. He says Jared Kushner did more damage to 1039 00:52:45,040 --> 00:52:47,560 Speaker 1: the presidency and the Trump agenda during his four year 1040 00:52:47,600 --> 00:52:51,919 Speaker 1: reign of error at sixteen hundred Pennsylvania Avenue than anyone. Now. 1041 00:52:52,000 --> 00:52:55,240 Speaker 1: Peter Navara and I do not agree on many things, 1042 00:52:55,280 --> 00:52:58,239 Speaker 1: but his biggest beef with Jared is the way that 1043 00:52:58,520 --> 00:53:00,920 Speaker 1: he was one of these people that thought he could 1044 00:53:01,280 --> 00:53:05,439 Speaker 1: sort of undermine what Trump ran on. And now, sure, yes, 1045 00:53:05,640 --> 00:53:07,600 Speaker 1: some of this, of course has always been coked because 1046 00:53:07,600 --> 00:53:09,799 Speaker 1: it's like, well, ultimately though, Trump is still correct, like 1047 00:53:09,840 --> 00:53:12,399 Speaker 1: he could have done what he wanted. But in Navarro's view, 1048 00:53:12,520 --> 00:53:16,080 Speaker 1: Jared was, He says, his neuter the boss role quickly 1049 00:53:16,160 --> 00:53:18,400 Speaker 1: became a source of friction between us. He believed that I, 1050 00:53:18,520 --> 00:53:20,520 Speaker 1: more than anyone inside the West Wing, could rile up 1051 00:53:20,520 --> 00:53:22,640 Speaker 1: the president to take actions that were in fact totally 1052 00:53:22,680 --> 00:53:26,719 Speaker 1: consistent which Trump's central campaign promises. But as this particular 1053 00:53:26,719 --> 00:53:28,920 Speaker 1: Wall Street transactionist like to say, and it always made 1054 00:53:28,960 --> 00:53:32,160 Speaker 1: me cringe, that was the campaign. This is reality. My 1055 00:53:32,280 --> 00:53:34,680 Speaker 1: favorite part of this is he did a little what 1056 00:53:34,760 --> 00:53:37,239 Speaker 1: he describes as a tongue in cheek sample day in 1057 00:53:37,280 --> 00:53:40,400 Speaker 1: the life of Kushner. He says at daybreak back channel 1058 00:53:40,440 --> 00:53:43,799 Speaker 1: his Chinese Communist Party handlers on the latest in trade negotiations, 1059 00:53:43,800 --> 00:53:46,279 Speaker 1: and thereby weakened the bargaining position of US Trade rep 1060 00:53:46,280 --> 00:53:50,040 Speaker 1: Bob Ledheiser. Mid morning, helped Crown Prince Mohammed Ben Salmon 1061 00:53:50,080 --> 00:53:53,360 Speaker 1: evade any responsibility for the murder of Jamal Koshogi, and 1062 00:53:53,400 --> 00:53:56,560 Speaker 1: thereby and said Secretary of State Mike Pompeo into yet 1063 00:53:56,600 --> 00:54:00,439 Speaker 1: another paroxysm of rage. At noon, ping Israeli Prime Minister 1064 00:54:00,520 --> 00:54:02,880 Speaker 1: BB Netanyahu on the latest of these peace talks, and 1065 00:54:02,920 --> 00:54:06,040 Speaker 1: thereby nsa advisor Robert O'Brien like a mushroom in the 1066 00:54:06,120 --> 00:54:09,920 Speaker 1: dark heaped in Jared's excrement. Mid afternoon, meet with the status, 1067 00:54:09,920 --> 00:54:13,239 Speaker 1: discussiles developments and mismanaging the pandemic, and see what else 1068 00:54:13,280 --> 00:54:15,279 Speaker 1: they can screw up the sun said. He calls the 1069 00:54:15,360 --> 00:54:17,440 Speaker 1: Vice Friend's chief of staff, Mark Short to see what 1070 00:54:17,520 --> 00:54:19,560 Speaker 1: data they can manipulate and make it look like the 1071 00:54:19,600 --> 00:54:22,279 Speaker 1: pandemic is getting better. Afterward, he drops in the Oval 1072 00:54:22,320 --> 00:54:24,239 Speaker 1: office for the fifth time that day to see the 1073 00:54:24,280 --> 00:54:27,000 Speaker 1: Boss and tell him how great his polls look sounds 1074 00:54:27,080 --> 00:54:29,799 Speaker 1: right based on everything that I've seen, just a lot 1075 00:54:29,840 --> 00:54:33,399 Speaker 1: of bipartisan feelings about mister Kushner. Er Kushner may be 1076 00:54:33,640 --> 00:54:36,880 Speaker 1: the single most mediocre and yet powerful figure in modern 1077 00:54:36,880 --> 00:54:39,320 Speaker 1: American politics. Kind of extraordinary, right, I was trying to 1078 00:54:39,360 --> 00:54:42,000 Speaker 1: think back, there's a long history of screw up aids 1079 00:54:42,000 --> 00:54:45,239 Speaker 1: and I'm saying that nicely. Who had major impact on 1080 00:54:45,360 --> 00:54:48,560 Speaker 1: US foreign policy And he's up there, Colonel House some 1081 00:54:48,680 --> 00:54:52,480 Speaker 1: Woodrow Wilson figures Harry Vaughan from the HAIRT. Truman administration, 1082 00:54:53,280 --> 00:54:56,360 Speaker 1: you know, going with Jimmy Carter and anyway, there's a 1083 00:54:56,360 --> 00:55:00,160 Speaker 1: lot of people like Jared. They never really even each 1084 00:55:00,239 --> 00:55:03,400 Speaker 1: the same heights of power as he did untold damage, 1085 00:55:03,520 --> 00:55:06,120 Speaker 1: not even on what Trump claimed he ran on, but 1086 00:55:06,239 --> 00:55:09,200 Speaker 1: I mean on the tax bill, Saudi Arabia, one of 1087 00:55:09,239 --> 00:55:12,560 Speaker 1: the most shameless grifters in modern memory to ever like 1088 00:55:12,760 --> 00:55:16,360 Speaker 1: come to Washington and one of the most egotistical figures 1089 00:55:16,440 --> 00:55:21,640 Speaker 1: who writes these shameless books celebrating his fake achievements. And 1090 00:55:22,040 --> 00:55:24,680 Speaker 1: you know, ultimately it's on Trump, Like this is as 1091 00:55:24,719 --> 00:55:26,640 Speaker 1: you're saying, this is the cope that drives me nuts. 1092 00:55:26,640 --> 00:55:28,760 Speaker 1: When Trump people are like, yeah, it's on Jared Kushner, 1093 00:55:28,800 --> 00:55:30,920 Speaker 1: I'm like, yeah, well Trump listened to him, okay, and 1094 00:55:31,000 --> 00:55:33,120 Speaker 1: he left him in that White House for four years. 1095 00:55:33,200 --> 00:55:35,760 Speaker 1: I went to Jared Kushner's office. It's right by the oval, 1096 00:55:35,840 --> 00:55:37,440 Speaker 1: all right. So at the end of the day, he 1097 00:55:37,480 --> 00:55:39,719 Speaker 1: cared more about Jared than he did about Bannon. And 1098 00:55:39,760 --> 00:55:41,560 Speaker 1: a lot of people like Bannon can't really deal with 1099 00:55:41,600 --> 00:55:44,360 Speaker 1: that because they want it. They want to project things 1100 00:55:44,360 --> 00:55:46,560 Speaker 1: onto Trump, of which he doesn't actually care all that 1101 00:55:46,640 --> 00:55:49,480 Speaker 1: much about. Like he's just a vessel for whatever everybody 1102 00:55:49,480 --> 00:55:52,280 Speaker 1: wants to project. Yeah, Kushner ends up being a perfect 1103 00:55:52,440 --> 00:55:54,920 Speaker 1: excuse for them. Yeah, why it didn't live up to 1104 00:55:55,000 --> 00:55:57,640 Speaker 1: whatever they want. The same thing would have happened. Gary 1105 00:55:57,680 --> 00:56:00,680 Speaker 1: Khan would have done the same thing, yeah. Yeah. And 1106 00:56:00,840 --> 00:56:03,799 Speaker 1: the fact that you know Trump ultimately president, he did 1107 00:56:03,800 --> 00:56:05,880 Speaker 1: what he wanted to do in the administration, and the 1108 00:56:05,880 --> 00:56:09,560 Speaker 1: buckstops with him. As they say, do you expect if 1109 00:56:09,600 --> 00:56:11,959 Speaker 1: Trump were to make it back into the White House? 1110 00:56:12,000 --> 00:56:13,960 Speaker 1: I mean, Kushner would be, oh, he's coming back right 1111 00:56:13,960 --> 00:56:17,400 Speaker 1: back In question, Jared has such a high sense of 1112 00:56:17,440 --> 00:56:21,239 Speaker 1: his ego, of his ability. I mean that sample day, 1113 00:56:21,640 --> 00:56:23,880 Speaker 1: that's real, that actually is what he used to do 1114 00:56:23,960 --> 00:56:26,480 Speaker 1: every day. It's such a high regard for himself and 1115 00:56:26,520 --> 00:56:31,080 Speaker 1: his ability to quote solve problems and the amount of Yeah, 1116 00:56:31,239 --> 00:56:34,960 Speaker 1: just has an enormous ego. And look, Trump at the 1117 00:56:35,040 --> 00:56:37,759 Speaker 1: end of the day, enabled him, never talked down to him, 1118 00:56:37,840 --> 00:56:39,840 Speaker 1: never really yelled at him. He was never really in 1119 00:56:39,880 --> 00:56:43,520 Speaker 1: the doghouse. He manipulated the media to his effect and 1120 00:56:43,560 --> 00:56:45,239 Speaker 1: got all of his aides fired. I mean, if you 1121 00:56:45,239 --> 00:56:48,359 Speaker 1: think about it, all of the chief opponents Navarro. I mean, 1122 00:56:48,360 --> 00:56:50,640 Speaker 1: part of this is frankly Cope on Peter Navarro's part, 1123 00:56:50,680 --> 00:56:53,239 Speaker 1: which is that Navarro was outcast from the White House 1124 00:56:53,239 --> 00:56:55,759 Speaker 1: for like eighteen months because of Jared and because of 1125 00:56:55,760 --> 00:56:58,640 Speaker 1: Gary Cone and others who very easily, you know, kept 1126 00:56:58,680 --> 00:57:01,560 Speaker 1: him out. So, look, they ran it. They probably will 1127 00:57:01,600 --> 00:57:03,879 Speaker 1: run it again. I don't see any evidence to tell 1128 00:57:03,920 --> 00:57:05,919 Speaker 1: me that it just wouldn't be a redux of Trump 1129 00:57:06,000 --> 00:57:08,440 Speaker 1: two point zero. Yeah, I am a little bit fascinated 1130 00:57:08,440 --> 00:57:11,640 Speaker 1: by Kushner, just because, like you said, his mediocrity is 1131 00:57:11,680 --> 00:57:15,400 Speaker 1: so extraordinarily mediocre, and then to end up with so 1132 00:57:15,560 --> 00:57:20,480 Speaker 1: much influence, like I don't it's it's mind boggling. It's 1133 00:57:20,480 --> 00:57:22,520 Speaker 1: hard to wrap your head around. All Right, we have 1134 00:57:22,600 --> 00:57:25,880 Speaker 1: one last lit update we wanted to bring to you here, 1135 00:57:26,080 --> 00:57:29,920 Speaker 1: which is, as we have been talking about, Rachel Maddow 1136 00:57:30,040 --> 00:57:33,800 Speaker 1: no longer hosting a regular nightly show, which is a 1137 00:57:34,040 --> 00:57:37,160 Speaker 1: really and hour re feel about her end of an 1138 00:57:37,160 --> 00:57:40,560 Speaker 1: era in terms of cable news. I really, you know, 1139 00:57:40,640 --> 00:57:43,280 Speaker 1: maintain there are basically two figures in cable news that 1140 00:57:43,360 --> 00:57:46,880 Speaker 1: have true loyal audiences. That would be Tucker Carlson and 1141 00:57:47,000 --> 00:57:50,680 Speaker 1: Rachel Maddow. There in some ways, you know, two sides 1142 00:57:50,720 --> 00:57:53,360 Speaker 1: of the same coin. She even spoke very favorably of him, 1143 00:57:53,360 --> 00:57:55,920 Speaker 1: and well, he gave her recent interview, so I mean, 1144 00:57:56,000 --> 00:57:58,439 Speaker 1: it is, it is very interesting. So she stepped down 1145 00:57:58,520 --> 00:58:01,400 Speaker 1: and she's the only person i'm SMEBC that can really 1146 00:58:01,760 --> 00:58:06,360 Speaker 1: drive ratings. They put in her place Alex Wagner, who interesting. 1147 00:58:06,360 --> 00:58:09,520 Speaker 1: I mean, she was there when I was there. She 1148 00:58:09,680 --> 00:58:12,760 Speaker 1: was fired when I was fired, and like a massive 1149 00:58:12,920 --> 00:58:15,080 Speaker 1: you know, they let go a bunch of people at 1150 00:58:15,080 --> 00:58:18,080 Speaker 1: that time. But Alex is very sort of well connected, 1151 00:58:18,160 --> 00:58:20,400 Speaker 1: and she went on to do showtime circus. She was 1152 00:58:20,440 --> 00:58:23,000 Speaker 1: over I don't know CBS or something like that as well, 1153 00:58:23,360 --> 00:58:25,520 Speaker 1: manages to get brought back in as a guest host 1154 00:58:25,520 --> 00:58:27,280 Speaker 1: and then kind of out of nowhere, they hand her 1155 00:58:27,680 --> 00:58:32,919 Speaker 1: this most coveted slot in the entire lineup. So she 1156 00:58:33,080 --> 00:58:35,439 Speaker 1: launched her show this week, and they had a little 1157 00:58:35,480 --> 00:58:38,280 Speaker 1: bit of technical difficulties at the very beginning. Let's take 1158 00:58:38,280 --> 00:58:41,960 Speaker 1: a look at that. So with that, let's get started tonight. 1159 00:58:42,000 --> 00:58:45,480 Speaker 1: The FBI warrant used to search Moral Lago is unsealed. 1160 00:58:45,720 --> 00:58:48,720 Speaker 1: The three potential crimes laid out in that document. Will 1161 00:58:48,760 --> 00:58:52,680 Speaker 1: dive into what it means and what could happen with 1162 00:58:52,800 --> 00:58:55,280 Speaker 1: one of the Wall Street Journal reporters who was first 1163 00:58:55,280 --> 00:58:59,680 Speaker 1: to report on the contents of that warrant. Then we'll 1164 00:59:03,640 --> 00:59:07,320 Speaker 1: then we'll talk with We're going to go right. We 1165 00:59:07,360 --> 00:59:09,760 Speaker 1: are actually going to go right to the top story tonight. 1166 00:59:11,600 --> 00:59:16,439 Speaker 1: So it would make fun. It sucks. That's also why 1167 00:59:16,480 --> 00:59:18,840 Speaker 1: we don't do the show live specifically for that reason. 1168 00:59:19,360 --> 00:59:21,680 Speaker 1: So that's really hard. But yeah, I mean, I guess 1169 00:59:21,720 --> 00:59:24,240 Speaker 1: you would think that they would probably do a better job. 1170 00:59:24,320 --> 00:59:26,880 Speaker 1: They would have the teleprompter up and right. You You 1171 00:59:26,920 --> 00:59:30,600 Speaker 1: would think that these places are like well oiled machines. Right, 1172 00:59:30,840 --> 00:59:33,360 Speaker 1: MSNBC is not a well oiled machine, I can assure you. 1173 00:59:33,360 --> 00:59:35,480 Speaker 1: Wouldn't you think though, for your very first show for 1174 00:59:35,520 --> 00:59:37,760 Speaker 1: the top rated program, that you would have everything like 1175 00:59:37,840 --> 00:59:41,600 Speaker 1: ready to go, locked, locked and loaded. And I mean also, 1176 00:59:41,800 --> 00:59:43,600 Speaker 1: I mean, look, I don't want to criticize her too much. 1177 00:59:43,640 --> 00:59:45,160 Speaker 1: But it's also one of those things where you kind 1178 00:59:45,160 --> 00:59:46,480 Speaker 1: of do have to roll with it. We've had our 1179 00:59:46,480 --> 00:59:49,840 Speaker 1: teleprompter breakdown several times, yeah, rising and if it's total, 1180 00:59:50,000 --> 00:59:52,120 Speaker 1: if it's a monologue that's different, you can't really go 1181 00:59:52,200 --> 00:59:54,439 Speaker 1: with it. But there's a certain level of ad lib. 1182 00:59:54,640 --> 00:59:56,960 Speaker 1: I've seen it happen before live in studio at Fox 1183 00:59:57,120 --> 00:59:59,840 Speaker 1: and others. When the teleprompter goes down, people actually pretty good. 1184 00:59:59,840 --> 01:00:01,720 Speaker 1: I mean part of the reason. They'll just start reading 1185 01:00:01,720 --> 01:00:04,040 Speaker 1: off of their computer, or you'll try and ad lib 1186 01:00:04,080 --> 01:00:07,360 Speaker 1: throw to something. Some anchors will always keep their scripts 1187 01:00:07,400 --> 01:00:09,480 Speaker 1: in front of them, Yeah, so that if that and 1188 01:00:09,520 --> 01:00:12,440 Speaker 1: they're like actually flipping through their script as the teleprompter 1189 01:00:12,600 --> 01:00:15,480 Speaker 1: is rolling, just in case the teleprompter breaks down, that 1190 01:00:15,520 --> 01:00:17,600 Speaker 1: they have it there for them. That always seem like 1191 01:00:17,640 --> 01:00:20,480 Speaker 1: too much trouble for me. I just live on the 1192 01:00:20,560 --> 01:00:23,920 Speaker 1: edge and see what happens. But yeah, I mean listen, 1193 01:00:24,000 --> 01:00:26,160 Speaker 1: I have been there. It is not an easy thing 1194 01:00:26,200 --> 01:00:28,520 Speaker 1: to manage, I'm sure, especially when it's your first night 1195 01:00:28,560 --> 01:00:30,600 Speaker 1: and you're probably a little nervous and jittery about how 1196 01:00:30,600 --> 01:00:33,280 Speaker 1: it's all going to go. The ratings are in for 1197 01:00:33,360 --> 01:00:35,760 Speaker 1: how it did go, and let's put this up on 1198 01:00:35,840 --> 01:00:38,400 Speaker 1: the screen. I like the deadline kind of kind of 1199 01:00:38,400 --> 01:00:40,760 Speaker 1: spends this in her favor, they say. Alex Wagner draws 1200 01:00:40,800 --> 01:00:44,800 Speaker 1: solid two million viewers to debut of MSNBC primetime show Hannity, 1201 01:00:44,840 --> 01:00:47,040 Speaker 1: tops the time slot. But if you dig into the 1202 01:00:47,520 --> 01:00:51,560 Speaker 1: some of the details here, she was down. So Rachel 1203 01:00:51,920 --> 01:00:58,000 Speaker 1: did actually record an episode on Monday, and Alex's ratings 1204 01:00:58,000 --> 01:01:02,760 Speaker 1: were already down twenty seven percent from what Rachel did. 1205 01:01:02,840 --> 01:01:05,160 Speaker 1: So in her debut show, when you would think there 1206 01:01:05,200 --> 01:01:07,920 Speaker 1: would be some interest excitement of whatever her, you know 1207 01:01:08,040 --> 01:01:10,880 Speaker 1: already you've got twenty seven percent of the audiences like 1208 01:01:11,040 --> 01:01:14,080 Speaker 1: nap good, Well, yeah, go ahead, And you also had 1209 01:01:14,240 --> 01:01:16,160 Speaker 1: you know, they always love to talk about like the 1210 01:01:16,160 --> 01:01:19,920 Speaker 1: top line, like oh, two million people watched. But inside 1211 01:01:19,960 --> 01:01:23,400 Speaker 1: the cable news industry, no one cares about the total 1212 01:01:23,400 --> 01:01:26,680 Speaker 1: audience numbers. The only thing that matters is the demo 1213 01:01:26,840 --> 01:01:30,480 Speaker 1: because the rest of the audience is actually literally worthless 1214 01:01:30,560 --> 01:01:33,680 Speaker 1: because you don't sell ads based on that total number. 1215 01:01:33,720 --> 01:01:37,080 Speaker 1: You sell ads based on who is watching in the 1216 01:01:37,200 --> 01:01:40,680 Speaker 1: key twenty five to fifty four demographic. And in that 1217 01:01:40,800 --> 01:01:45,680 Speaker 1: key demo, she had one hundred and eighty three thousand viewers, 1218 01:01:45,800 --> 01:01:48,480 Speaker 1: which is a lot. That's insane. Yeah, people need to 1219 01:01:48,640 --> 01:01:51,160 Speaker 1: really like so Okay, there are two million people who 1220 01:01:51,200 --> 01:01:53,080 Speaker 1: are watching it, but only one hundred and eighty three 1221 01:01:53,120 --> 01:01:57,040 Speaker 1: thousand of them, which all these audiences are too and 1222 01:01:57,080 --> 01:02:00,880 Speaker 1: this is across the board Fox, CNN, MSNBC. Their audiences 1223 01:02:00,960 --> 01:02:03,600 Speaker 1: are so old. Yeah, CNN was one hundred and seventy 1224 01:02:03,640 --> 01:02:06,520 Speaker 1: six thousand, Hannity shocking four hundred thousand, but I guess 1225 01:02:06,560 --> 01:02:10,520 Speaker 1: he has so many more viewers that probably is relatively proportional. 1226 01:02:10,800 --> 01:02:13,840 Speaker 1: That's a perfect example, right of listen. I mean again, 1227 01:02:13,880 --> 01:02:15,880 Speaker 1: I don't want to dunk too much, but like here 1228 01:02:16,160 --> 01:02:19,680 Speaker 1: on breaking points, every single person who watches this show 1229 01:02:19,800 --> 01:02:21,840 Speaker 1: is in the key demo and you know, a wee can. 1230 01:02:21,920 --> 01:02:24,200 Speaker 1: It will often have single clips with one hundred and 1231 01:02:24,240 --> 01:02:27,600 Speaker 1: eighty thousand viewers like that. It's just so obvious to 1232 01:02:27,640 --> 01:02:30,240 Speaker 1: see that if you start including the podcast numbers, which 1233 01:02:30,240 --> 01:02:33,919 Speaker 1: again same demographic. Like, the disconnect in the people who 1234 01:02:34,240 --> 01:02:38,640 Speaker 1: consume media and the general biography is just insane whenever 1235 01:02:38,680 --> 01:02:41,640 Speaker 1: you really consider it, and look, it's a dying industry 1236 01:02:41,960 --> 01:02:43,960 Speaker 1: in that way, the last people who are watching it 1237 01:02:44,000 --> 01:02:46,560 Speaker 1: won't be people who are the MSNBC is just going 1238 01:02:46,640 --> 01:02:48,919 Speaker 1: to turn into Fox where all all of the ads 1239 01:02:48,960 --> 01:02:52,400 Speaker 1: are like by gold now you know, by insulins. All right, 1240 01:02:52,600 --> 01:02:56,880 Speaker 1: it's all like pharmaceutical ads. So it's like ninety percent pharma, 1241 01:02:56,920 --> 01:03:00,280 Speaker 1: which is insane too that it's even allowed, which actually 1242 01:03:00,280 --> 01:03:02,600 Speaker 1: tells you a lot about media what's allowed, And I think, 1243 01:03:02,600 --> 01:03:04,040 Speaker 1: what are we one of the only two countries on 1244 01:03:04,080 --> 01:03:08,800 Speaker 1: Earth that even allows direct pharmaceutical advertising. Anytime people from 1245 01:03:08,800 --> 01:03:11,240 Speaker 1: other countries can, they're like, what the hell is it? 1246 01:03:11,880 --> 01:03:15,280 Speaker 1: Ask your doctor, what are you talking about? Yeah, we 1247 01:03:15,760 --> 01:03:17,440 Speaker 1: get used to it. We could come to you know, 1248 01:03:17,840 --> 01:03:20,160 Speaker 1: it feel like it's natural. But it really is very 1249 01:03:20,160 --> 01:03:23,600 Speaker 1: disturbing the sorts of pharmaceutical ads were subjected to. So anyway, 1250 01:03:24,160 --> 01:03:27,360 Speaker 1: early indications of how that's all going to go, I think, 1251 01:03:27,480 --> 01:03:30,360 Speaker 1: you know, MSNBC really has a problem here, especially heading 1252 01:03:30,360 --> 01:03:33,720 Speaker 1: into whatever the next presidential era is going to be, 1253 01:03:33,720 --> 01:03:36,880 Speaker 1: because now she Rachel is going to come back. I 1254 01:03:36,880 --> 01:03:40,680 Speaker 1: guess for big events debate nights and election nights and 1255 01:03:40,720 --> 01:03:43,720 Speaker 1: all that sort of stuff. But they just really didn't 1256 01:03:43,720 --> 01:03:46,240 Speaker 1: cultivate any sort of an internal bench. The fact that 1257 01:03:46,280 --> 01:03:48,680 Speaker 1: they had to sort of reach back and grab someone 1258 01:03:48,720 --> 01:03:51,520 Speaker 1: from a past era, and slaughter in tells you a 1259 01:03:51,560 --> 01:03:53,880 Speaker 1: lot about what they have up and coming. Of course, 1260 01:03:53,880 --> 01:03:56,960 Speaker 1: they would never think of, Hey, maybe in this new 1261 01:03:57,000 --> 01:03:58,960 Speaker 1: era we should go for someone who you know is 1262 01:03:59,000 --> 01:04:02,360 Speaker 1: an independenty has No, they wouldn't. That's definitely off the 1263 01:04:02,400 --> 01:04:04,000 Speaker 1: table because those people might have a little bit of 1264 01:04:04,040 --> 01:04:07,200 Speaker 1: a mine of their own. Oh yeah, all right, Chrissell, 1265 01:04:07,240 --> 01:04:08,840 Speaker 1: what are you taking a look at? So President Biden 1266 01:04:08,880 --> 01:04:12,360 Speaker 1: has jumped into a major battle between labor and capital 1267 01:04:12,440 --> 01:04:14,120 Speaker 1: that has a bit of a chance to blow up 1268 01:04:14,160 --> 01:04:18,040 Speaker 1: into a national crisis. So after years of attempted negotiations, 1269 01:04:18,240 --> 01:04:22,280 Speaker 1: we could be headed for a national rail strike. Let 1270 01:04:22,280 --> 01:04:24,480 Speaker 1: me give you some of the background in the details here. 1271 01:04:24,520 --> 01:04:27,200 Speaker 1: So for years now, railroad workers have been trying to 1272 01:04:27,240 --> 01:04:31,160 Speaker 1: negotiate a better contract with railroad bosses, one that would 1273 01:04:31,160 --> 01:04:33,439 Speaker 1: provide them with a pay raise, something they haven't seen 1274 01:04:33,520 --> 01:04:39,240 Speaker 1: in years, and crucially better working conditions. Now, railroad's obviously 1275 01:04:39,680 --> 01:04:42,080 Speaker 1: vital to our supply chain. Twenty nine percent of all 1276 01:04:42,120 --> 01:04:44,960 Speaker 1: freight is moved by rail. Part of the supply chain 1277 01:04:45,000 --> 01:04:47,320 Speaker 1: issues we are suffering from now is because the railroad 1278 01:04:47,320 --> 01:04:51,560 Speaker 1: companies slash their workforce during the pandemic leaving the industry 1279 01:04:51,840 --> 01:04:55,439 Speaker 1: massively short staffed. In order to compensate for their own 1280 01:04:55,600 --> 01:04:59,320 Speaker 1: foolish short sightedness, these companies have forced a grueling and 1281 01:04:59,520 --> 01:05:03,560 Speaker 1: inhuman schedule on their remaining workers. So as one example here, 1282 01:05:03,680 --> 01:05:08,360 Speaker 1: Warren Buffett owned BNSF, they instituted a draconian new scheduling policy, 1283 01:05:08,440 --> 01:05:13,120 Speaker 1: only allowing workers two days off per month total, so 1284 01:05:13,680 --> 01:05:17,919 Speaker 1: no weekends, no room for unexpected emergencies or anything else. 1285 01:05:18,440 --> 01:05:21,480 Speaker 1: At the same time, the railroad business, while they're booming, 1286 01:05:21,520 --> 01:05:25,280 Speaker 1: they're doing great profits breaking records rather than invest in 1287 01:05:25,320 --> 01:05:28,280 Speaker 1: workers or equipment. However, they have fattened the wallets of 1288 01:05:28,280 --> 01:05:32,760 Speaker 1: company executives and wealthy investors. Since twenty ten, the railroads 1289 01:05:32,800 --> 01:05:36,560 Speaker 1: have spent forty six billion dollars more in stock buybacks 1290 01:05:36,600 --> 01:05:39,840 Speaker 1: and dividends than they have in maintaining their own rail 1291 01:05:40,080 --> 01:05:43,440 Speaker 1: and equipment workers who are pushed the brink during the pandemic. 1292 01:05:43,600 --> 01:05:46,440 Speaker 1: They were disgusted by the greed and the unfairness, and 1293 01:05:46,520 --> 01:05:50,080 Speaker 1: so they authorized a strike. Railway labor relations, however, are 1294 01:05:50,120 --> 01:05:52,120 Speaker 1: governed by a special set of laws in order to 1295 01:05:52,160 --> 01:05:54,320 Speaker 1: try to prevent a work stoppage that could in fact 1296 01:05:54,320 --> 01:05:57,120 Speaker 1: grind commerce to a halt. And after other attempts at 1297 01:05:57,200 --> 01:06:00,760 Speaker 1: legally mandated mediation failed, Biden and PA held a three 1298 01:06:00,920 --> 01:06:04,120 Speaker 1: person board to put together a proposal in an attempt 1299 01:06:04,120 --> 01:06:07,840 Speaker 1: to bridge the divide and resolve this conflict. That board 1300 01:06:08,040 --> 01:06:11,040 Speaker 1: has now just put out their recommendations, called the Presdential 1301 01:06:11,040 --> 01:06:15,600 Speaker 1: Emergency Board or PEB report, and it is a decidedly 1302 01:06:15,680 --> 01:06:18,880 Speaker 1: mixed bag at best. Here's the assessment of one Labor 1303 01:06:18,920 --> 01:06:23,000 Speaker 1: Notes journalist, the Decent. He says twenty four percent compounded 1304 01:06:23,040 --> 01:06:25,400 Speaker 1: wage increases over the deal on its face, one of 1305 01:06:25,440 --> 01:06:27,960 Speaker 1: the better wage deals that rail unions will have gotten 1306 01:06:27,960 --> 01:06:31,560 Speaker 1: in the past about thirty years. The not good are unresolved. 1307 01:06:31,960 --> 01:06:35,880 Speaker 1: The recommendations don't do anything about sick leave or the 1308 01:06:36,000 --> 01:06:40,320 Speaker 1: terrible scheduling policies. Railroad workers have zero sick days. The 1309 01:06:40,360 --> 01:06:44,400 Speaker 1: PEB rejected the union's proposal for sick leave, leaving workers 1310 01:06:44,520 --> 01:06:47,840 Speaker 1: with none. That draconian scheduling policies like the one that 1311 01:06:47,960 --> 01:06:50,800 Speaker 1: led the BLT and smart TD to threaten a strike 1312 01:06:50,840 --> 01:06:54,040 Speaker 1: at BNSF. That's that Warren Buffett Railroad. They are not 1313 01:06:54,200 --> 01:06:57,280 Speaker 1: even touched. The PEB tells them to go back and 1314 01:06:57,320 --> 01:07:00,560 Speaker 1: negotiate its sidestepping one of the most import in recent 1315 01:07:00,600 --> 01:07:05,320 Speaker 1: issues around working conditions. Now, the Railroad Titans, they are 1316 01:07:05,440 --> 01:07:07,800 Speaker 1: very pleased with this result. They put out a statement 1317 01:07:07,840 --> 01:07:10,320 Speaker 1: saying they're prepared to meet with union leaders based on 1318 01:07:10,400 --> 01:07:13,400 Speaker 1: this agreement and to reach an agreement based on the settlement. 1319 01:07:13,960 --> 01:07:16,920 Speaker 1: Less clear is how the unions and their members are 1320 01:07:16,960 --> 01:07:19,920 Speaker 1: going to respond. So far, the response from some of 1321 01:07:19,920 --> 01:07:24,640 Speaker 1: the rank and file has been absolutely scathing. One worker raged, 1322 01:07:25,080 --> 01:07:28,760 Speaker 1: Biden and his administration is not labor friendly. His peb 1323 01:07:29,080 --> 01:07:32,640 Speaker 1: is unacceptable, dums will lose hundreds of thousands of voters 1324 01:07:32,640 --> 01:07:36,680 Speaker 1: for decades. This worker specifically cites the increased healthcare cost, 1325 01:07:36,880 --> 01:07:39,440 Speaker 1: wage increases that don't keep pace with other parts of 1326 01:07:39,440 --> 01:07:42,760 Speaker 1: the industry, and perhaps most importantly, the complete dodge on 1327 01:07:42,840 --> 01:07:45,400 Speaker 1: dealing with any of the significant quality of life and 1328 01:07:45,440 --> 01:07:48,360 Speaker 1: safety issues, which really were what pushed these workers to 1329 01:07:48,400 --> 01:07:51,480 Speaker 1: the brink to begin with. Another wrote to us that 1330 01:07:51,520 --> 01:07:54,360 Speaker 1: the increased healthcare costs would eat up a large portion 1331 01:07:54,520 --> 01:07:57,800 Speaker 1: of the purported wage hike. Quote, I really don't see 1332 01:07:57,840 --> 01:08:01,880 Speaker 1: a single win now. Pretty unclear what's going to happen next. 1333 01:08:01,960 --> 01:08:03,920 Speaker 1: The one hundred and fifteen thousand or so workers who 1334 01:08:03,960 --> 01:08:06,840 Speaker 1: are involved, especially in the more democratic unions, they will 1335 01:08:06,840 --> 01:08:09,080 Speaker 1: have a say on whether this is sufficient, and given 1336 01:08:09,160 --> 01:08:13,200 Speaker 1: us massive shortcomings, quite possible that this deal is voted down. 1337 01:08:13,600 --> 01:08:15,920 Speaker 1: But even if they reject the deal, the law then 1338 01:08:16,040 --> 01:08:20,600 Speaker 1: authorizes Congress to step in and directly legislate a contract, 1339 01:08:20,960 --> 01:08:24,120 Speaker 1: forcing this contract on the workers and stripping them of 1340 01:08:24,160 --> 01:08:27,280 Speaker 1: all leverage. Now you might think that since this is 1341 01:08:27,320 --> 01:08:29,880 Speaker 1: a democratic Congress, they wouldn't want to step in and 1342 01:08:30,000 --> 01:08:33,240 Speaker 1: under cut the workers like that, But honestly, who are 1343 01:08:33,280 --> 01:08:36,240 Speaker 1: we kidding Democratic elites. They care way more about big 1344 01:08:36,280 --> 01:08:38,719 Speaker 1: money and the looming midterm elections than they do about 1345 01:08:38,720 --> 01:08:41,840 Speaker 1: the lives of these workers. One worker told us what's 1346 01:08:41,920 --> 01:08:44,240 Speaker 1: most likely to happen is that Congress will cram an 1347 01:08:44,240 --> 01:08:48,040 Speaker 1: agreement down workers' throats, and the slow bleed of resignations 1348 01:08:48,080 --> 01:08:51,719 Speaker 1: coupled with an inability to hire, will continue. So remember 1349 01:08:52,360 --> 01:08:55,439 Speaker 1: next time some boss complains about how hard it is 1350 01:08:55,479 --> 01:08:59,240 Speaker 1: to hire workers, just recall this whole chain of events. 1351 01:08:59,439 --> 01:09:02,720 Speaker 1: The rail road dads gutted their own workforce and refused 1352 01:09:02,720 --> 01:09:06,240 Speaker 1: to treat them decently in spite of record profits. Corporate 1353 01:09:06,280 --> 01:09:08,120 Speaker 1: greed is that the root of wire supply chains are 1354 01:09:08,120 --> 01:09:11,320 Speaker 1: so fragile, and just like the airlines, corporate greed is 1355 01:09:11,320 --> 01:09:14,280 Speaker 1: why nothing in our damn country seems to work. They 1356 01:09:14,320 --> 01:09:17,840 Speaker 1: would rather give themselves dividends and do stock buybacks than 1357 01:09:17,880 --> 01:09:21,200 Speaker 1: give their workers a single day off. And after feasting 1358 01:09:21,240 --> 01:09:23,880 Speaker 1: like vampires sucking the life out of their own companies, 1359 01:09:23,960 --> 01:09:26,280 Speaker 1: they then turn around and have the nerve to blame 1360 01:09:26,320 --> 01:09:30,120 Speaker 1: workers for their own failings. It is truly disgusting, But 1361 01:09:30,200 --> 01:09:32,919 Speaker 1: make no mistake, this does continue to be an extremely 1362 01:09:33,000 --> 01:09:36,519 Speaker 1: volatile and unpredictable situation. If it did come to a strike, 1363 01:09:36,600 --> 01:09:38,679 Speaker 1: it would not be the first time that a national 1364 01:09:38,760 --> 01:09:42,280 Speaker 1: rail strike completely upended our politics. Way back in eighteen 1365 01:09:42,360 --> 01:09:45,400 Speaker 1: seventy seven, a rail workers strike that began in Martinsburg, 1366 01:09:45,439 --> 01:09:48,679 Speaker 1: West Virginia spread across the country until it affected half 1367 01:09:48,800 --> 01:09:51,680 Speaker 1: of all rail That was called the Great Upheaval, and 1368 01:09:51,760 --> 01:09:54,040 Speaker 1: it was actually a pretty bloody affair and estimated one 1369 01:09:54,120 --> 01:09:57,840 Speaker 1: hundred people were ultimately killed. Workers destroyed rail lines, they 1370 01:09:57,840 --> 01:10:00,479 Speaker 1: burned trains to block scabs and break the power of 1371 01:10:00,520 --> 01:10:04,040 Speaker 1: big money. Ultimately, the strike did not end until the 1372 01:10:04,040 --> 01:10:06,719 Speaker 1: government was forced to call in the military to break 1373 01:10:06,720 --> 01:10:10,960 Speaker 1: it up because sympathetic National guardsmen they had refused to 1374 01:10:11,000 --> 01:10:13,320 Speaker 1: break the strike. Now there was no union for the 1375 01:10:13,320 --> 01:10:16,000 Speaker 1: workers in that era, but the massive display of militant 1376 01:10:16,040 --> 01:10:19,360 Speaker 1: worker solidarity helped you jumpstart a wave of strikes and 1377 01:10:19,560 --> 01:10:22,479 Speaker 1: the growth of official organized labor. It was just a 1378 01:10:22,479 --> 01:10:26,559 Speaker 1: decade later that Samuel Gompers founded the American Federation of Labor. Now, 1379 01:10:26,600 --> 01:10:28,720 Speaker 1: obviously things have already jumped off in the world of 1380 01:10:28,800 --> 01:10:32,800 Speaker 1: organized labor and grassroots militancy. Starbucks workers continue to organize, 1381 01:10:33,040 --> 01:10:36,160 Speaker 1: unionizing fast food and what is truly an unprecedented fashion, 1382 01:10:36,880 --> 01:10:39,559 Speaker 1: another Amazon warehouse, this one in Albany, New York. They 1383 01:10:39,640 --> 01:10:41,519 Speaker 1: just filed for a union election. As a wave of 1384 01:10:41,600 --> 01:10:45,519 Speaker 1: organizing sweeps Amazon buildings across the country. The pandemic made 1385 01:10:45,600 --> 01:10:47,720 Speaker 1: visible all of the human beings who are at the 1386 01:10:47,720 --> 01:10:50,720 Speaker 1: core of making our economy at our nation function, and 1387 01:10:50,720 --> 01:10:54,280 Speaker 1: they are only just beginning to flex their muscles. So, Sager, 1388 01:10:54,360 --> 01:10:57,400 Speaker 1: this has all been kind of under the radar as usual, 1389 01:10:57,600 --> 01:10:59,519 Speaker 1: you know. And if you want to hear my reaction 1390 01:10:59,640 --> 01:11:03,200 Speaker 1: to Bristol's monologue, become a premium subscriber today at Breakingpoints 1391 01:11:03,280 --> 01:11:08,639 Speaker 1: dot Com. All right, Tzager, what are you looking at? Well? Everyone, 1392 01:11:08,760 --> 01:11:11,600 Speaker 1: as predicted Liz Cheney, the scion of Dick Cheney, the 1393 01:11:11,640 --> 01:11:14,560 Speaker 1: last remaining Cheney in office in the United States resoundingly 1394 01:11:14,600 --> 01:11:17,880 Speaker 1: lost her congressional primary on Tuesday night, predictable fashion. The 1395 01:11:17,960 --> 01:11:20,360 Speaker 1: result of the primary is less fascinating to me than 1396 01:11:20,439 --> 01:11:22,920 Speaker 1: the degree of her loss and the national media's reaction 1397 01:11:23,040 --> 01:11:24,880 Speaker 1: to it, and it leads me to attack one of 1398 01:11:24,880 --> 01:11:28,840 Speaker 1: my biggest pet peeves, lack of honesty with oneself. As 1399 01:11:28,880 --> 01:11:30,880 Speaker 1: for Cheney, I don't have much to say. I think 1400 01:11:30,920 --> 01:11:33,040 Speaker 1: anyone who was connected with and continues to defend the 1401 01:11:33,080 --> 01:11:35,400 Speaker 1: war in Iraq should be marooned out on an island. 1402 01:11:35,600 --> 01:11:37,800 Speaker 1: Do I think that criticizing Trump for January sixth makes 1403 01:11:37,880 --> 01:11:40,479 Speaker 1: up for that? No, so good riddance. Just to reiterate 1404 01:11:40,479 --> 01:11:42,840 Speaker 1: the results that Crystal and I dug into yesterday, it 1405 01:11:42,880 --> 01:11:46,360 Speaker 1: was a resounding and overwhelming defeat. Cheney lost almost every 1406 01:11:46,400 --> 01:11:50,160 Speaker 1: single county in Wyoming except for those which were dominated 1407 01:11:50,200 --> 01:11:53,000 Speaker 1: by millionaires. Cheney is just the latest member of the 1408 01:11:53,040 --> 01:11:55,639 Speaker 1: GOP caucus in the House who voted to impeach Trump 1409 01:11:55,800 --> 01:11:58,880 Speaker 1: to either lose her primary or announce her retirement, bringing 1410 01:11:58,960 --> 01:12:01,840 Speaker 1: it to a full eighty. Now this isn't just a 1411 01:12:01,880 --> 01:12:04,519 Speaker 1: one off. It's pattern, and the statement is clear. The 1412 01:12:04,560 --> 01:12:08,040 Speaker 1: only thing that matters in American politics today is Trump 1413 01:12:08,240 --> 01:12:10,280 Speaker 1: and as much as that sucks, you need to make 1414 01:12:10,320 --> 01:12:13,000 Speaker 1: peace with it and understand it will be that way 1415 01:12:13,200 --> 01:12:15,840 Speaker 1: until the day he dies. This was inspired by a 1416 01:12:15,880 --> 01:12:19,240 Speaker 1: monologue the tweet from Ambassador John Bolton. He wrote, quote 1417 01:12:19,360 --> 01:12:22,720 Speaker 1: Liz Cheney's loss diminishes our party by putting her constitutional 1418 01:12:22,760 --> 01:12:26,160 Speaker 1: responsibilities about partisanship and political future. She deserves the highest 1419 01:12:26,160 --> 01:12:29,720 Speaker 1: possible praise. Attacks against Republicans based merely on disagreements about 1420 01:12:29,760 --> 01:12:34,080 Speaker 1: Trump must end. Note Bolton used the phrase quote our 1421 01:12:34,160 --> 01:12:38,479 Speaker 1: party and also noted also that attacks on Republicans based 1422 01:12:38,520 --> 01:12:42,160 Speaker 1: merely on disagreements about Trump must end. So who wants 1423 01:12:42,200 --> 01:12:45,400 Speaker 1: to tell him it's over? John? The Republican Party you 1424 01:12:45,439 --> 01:12:48,320 Speaker 1: were a member of died in November of twenty sixteen. 1425 01:12:48,680 --> 01:12:51,920 Speaker 1: As for attacks on Republicans based merely on disagreements on Trump, 1426 01:12:52,200 --> 01:12:55,800 Speaker 1: that is literally all that matters in these primaries. Do 1427 01:12:55,880 --> 01:12:58,240 Speaker 1: any of you even know the name of the woman 1428 01:12:58,280 --> 01:13:01,559 Speaker 1: who beat Liz Cheney in Wyoming? My guess is probably not, 1429 01:13:01,840 --> 01:13:04,920 Speaker 1: because honestly it doesn't matter. She will probably have the 1430 01:13:05,040 --> 01:13:08,040 Speaker 1: exact same voting record. The difference is she has the 1431 01:13:08,040 --> 01:13:11,920 Speaker 1: Maga impromature and Cheney does not. I believe in democracy 1432 01:13:12,200 --> 01:13:15,320 Speaker 1: GOP primary voters are making it clear they love Trump, 1433 01:13:15,479 --> 01:13:18,320 Speaker 1: and if you are vocally opposed to him, well then 1434 01:13:18,360 --> 01:13:20,760 Speaker 1: they don't love you and they don't love you enough 1435 01:13:20,840 --> 01:13:23,240 Speaker 1: to vote your ass out of office. Listen to them, 1436 01:13:23,600 --> 01:13:25,559 Speaker 1: also listen to the man who they have put their 1437 01:13:25,600 --> 01:13:29,240 Speaker 1: trust in, Trump, Trump, while in office, at times, pretended 1438 01:13:29,240 --> 01:13:32,000 Speaker 1: to care about policy, but after January sixth, basically made 1439 01:13:32,000 --> 01:13:34,000 Speaker 1: it clear he cares about only one thing. If you 1440 01:13:34,080 --> 01:13:36,400 Speaker 1: think the election was stolen and are willing to quote 1441 01:13:36,479 --> 01:13:39,120 Speaker 1: fight for him, then you're good. If you don't, then 1442 01:13:39,120 --> 01:13:42,080 Speaker 1: you're bad. My favorite example of this is Elas Stephonic 1443 01:13:42,320 --> 01:13:45,360 Speaker 1: in Before Times a least Stephonic in Trump's circle circles 1444 01:13:45,400 --> 01:13:47,680 Speaker 1: was kind of persona non grata. She was a neo Khon. 1445 01:13:47,920 --> 01:13:50,240 Speaker 1: She voted for the Equality Act while Trump was president. 1446 01:13:50,320 --> 01:13:52,240 Speaker 1: She was one of just fourteen Republicans to try and 1447 01:13:52,280 --> 01:13:55,639 Speaker 1: overturn the declaration of a National Emergency at the Southern Border. 1448 01:13:55,800 --> 01:13:59,519 Speaker 1: She supported DHAKA, tax cuts, etc. In Efact. She was 1449 01:13:59,520 --> 01:14:02,760 Speaker 1: everything so called Trump movement was against. And yet she 1450 01:14:02,920 --> 01:14:05,599 Speaker 1: quote fights for Trump now, and by that I mean 1451 01:14:05,640 --> 01:14:08,759 Speaker 1: she goes on TV and opposes impeachment on January sixth, 1452 01:14:08,800 --> 01:14:11,479 Speaker 1: and has transformed herself into a Fox News MAGA warrior. 1453 01:14:11,760 --> 01:14:14,000 Speaker 1: What this has led to is that in January at 1454 01:14:14,000 --> 01:14:16,760 Speaker 1: his Palm Beach resort, Trump lavished so much praise on 1455 01:14:16,840 --> 01:14:18,759 Speaker 1: her that to date, she is one of the only 1456 01:14:18,800 --> 01:14:21,080 Speaker 1: people that I can find so far who Trump has 1457 01:14:21,120 --> 01:14:24,960 Speaker 1: said definitively could be his own successor, saying she could 1458 01:14:24,960 --> 01:14:27,920 Speaker 1: be president in twenty twenty eight. So again I reiterate, 1459 01:14:28,680 --> 01:14:32,120 Speaker 1: the only thing that matters both to him, to Stephanic, 1460 01:14:32,360 --> 01:14:34,720 Speaker 1: to the legions of MAGA people who are donating to 1461 01:14:34,800 --> 01:14:38,680 Speaker 1: her is support for Trump. None of the policy I 1462 01:14:38,760 --> 01:14:41,360 Speaker 1: laid out will matter at all in her primary as 1463 01:14:41,400 --> 01:14:43,679 Speaker 1: long as she vocally defends him. Now, you could say, 1464 01:14:43,840 --> 01:14:46,040 Speaker 1: but Zager, how is it possible then when someone like 1465 01:14:46,080 --> 01:14:49,000 Speaker 1: Brian Kemp and Brad Raffisberger still win these primaries in Georgia, 1466 01:14:49,120 --> 01:14:51,000 Speaker 1: I would say, Hey, that's a pretty good point. But 1467 01:14:51,040 --> 01:14:53,479 Speaker 1: guess what the critical difference is. Brian Kemp and Brad 1468 01:14:53,560 --> 01:14:57,439 Speaker 1: Raffinsberger didn't say one bad word about Trump. In fact, 1469 01:14:57,640 --> 01:15:00,360 Speaker 1: when they ran, they emphasized that while they understand Trump 1470 01:15:00,400 --> 01:15:02,840 Speaker 1: was upset at them, they still actually had implemented a 1471 01:15:02,880 --> 01:15:06,439 Speaker 1: mega agenda and committed to do so. Kemp, you may forget. 1472 01:15:06,560 --> 01:15:08,519 Speaker 1: While yes, he did not go along with Trump's plan 1473 01:15:08,560 --> 01:15:11,439 Speaker 1: to steal the election, still passed, endorsed, and defended the 1474 01:15:11,479 --> 01:15:14,040 Speaker 1: GOP voting law that was put into place in reaction 1475 01:15:14,120 --> 01:15:17,760 Speaker 1: to the election. He also said he would quote absolutely 1476 01:15:17,880 --> 01:15:21,599 Speaker 1: back Trump in twenty twenty four. Voters backed him because 1477 01:15:21,640 --> 01:15:23,120 Speaker 1: at the end of the day, they did not see 1478 01:15:23,160 --> 01:15:26,519 Speaker 1: him or Rathensberger as oppositional to Trump in the same 1479 01:15:26,560 --> 01:15:29,120 Speaker 1: way as someone who literally voted to remove him from 1480 01:15:29,160 --> 01:15:32,280 Speaker 1: office or who has repeatedly appeared on cable television to 1481 01:15:32,320 --> 01:15:35,880 Speaker 1: bash him. Sadly, it only further confirms my thesis. If 1482 01:15:35,880 --> 01:15:37,959 Speaker 1: you're a Republican and you want to remain in office, 1483 01:15:38,040 --> 01:15:42,559 Speaker 1: you cannot say anything bad about Trump. This delusion about 1484 01:15:42,560 --> 01:15:44,639 Speaker 1: what it means to be a Republican or not does 1485 01:15:44,680 --> 01:15:47,160 Speaker 1: not just pervade neo cons like Bolton, but a new 1486 01:15:47,200 --> 01:15:49,840 Speaker 1: breed of Republicans of whom I am actually very sympathetic to. 1487 01:15:50,120 --> 01:15:52,880 Speaker 1: Those who hate the left, were disillusioned with authorities during 1488 01:15:52,880 --> 01:15:55,799 Speaker 1: the pandemic and are repulsed by wokeness a pervade society 1489 01:15:55,800 --> 01:15:57,960 Speaker 1: all the way down to the school level. That person 1490 01:15:58,080 --> 01:16:00,880 Speaker 1: is best typified by an Elon Musk. Muscus said that 1491 01:16:00,880 --> 01:16:03,360 Speaker 1: he voted for Biden. He has become disillusioned by the left. 1492 01:16:03,479 --> 01:16:05,680 Speaker 1: He says he supports a candidate like Ron DeSantis, but 1493 01:16:05,760 --> 01:16:07,840 Speaker 1: he wants Trump to quote hang up his hat because 1494 01:16:07,880 --> 01:16:09,760 Speaker 1: he's too divisive, and he wouldn't commit to voting for 1495 01:16:09,760 --> 01:16:13,360 Speaker 1: Trump again. Despite this, Musk is even speaking this weekend 1496 01:16:13,400 --> 01:16:15,800 Speaker 1: at the House GOP retreat. Now, I got some bad 1497 01:16:15,920 --> 01:16:17,920 Speaker 1: news from Usk and many of these others so called 1498 01:16:18,080 --> 01:16:21,360 Speaker 1: I'm pro DeSantis, but anti Trump, folks. This is cope. 1499 01:16:21,439 --> 01:16:25,160 Speaker 1: The bellicosity, the tweets, the flags, the force of personality 1500 01:16:25,160 --> 01:16:27,720 Speaker 1: about Trump that you may hate, that is what the 1501 01:16:27,760 --> 01:16:31,679 Speaker 1: primary voters love the most. Again, I say just listen 1502 01:16:31,680 --> 01:16:34,679 Speaker 1: to them. Being a Republican is not a lifestyle brand. 1503 01:16:34,960 --> 01:16:37,880 Speaker 1: It is to align yourself with the predominant positions and 1504 01:16:37,960 --> 01:16:40,839 Speaker 1: dominant force of one of the two parties in American 1505 01:16:40,840 --> 01:16:44,120 Speaker 1: politics today. The force behind that is not post nine 1506 01:16:44,160 --> 01:16:46,880 Speaker 1: eleven terrorism, It is not tax cuts, it is not 1507 01:16:46,960 --> 01:16:50,519 Speaker 1: small government. It is Donald John Trump. And I know 1508 01:16:50,720 --> 01:16:53,639 Speaker 1: this is very painful to reconcile yourself to. Most people 1509 01:16:53,680 --> 01:16:56,000 Speaker 1: want to believe there is more, But let me tell 1510 01:16:56,040 --> 01:16:58,720 Speaker 1: you there isn't. I made my peace with that a 1511 01:16:58,800 --> 01:17:02,160 Speaker 1: long time ago. Honestly, it's much more freeing and interesting 1512 01:17:02,360 --> 01:17:04,760 Speaker 1: to live a life not aligned with any so called 1513 01:17:04,840 --> 01:17:07,360 Speaker 1: national movement. And perhaps the time will come when a 1514 01:17:07,400 --> 01:17:10,200 Speaker 1: real third party or some non two party aligned force 1515 01:17:10,280 --> 01:17:12,439 Speaker 1: can make a debt. But today is not that day. 1516 01:17:12,720 --> 01:17:15,639 Speaker 1: And in fact, while Trump is on the ballot either way, 1517 01:17:15,800 --> 01:17:18,240 Speaker 1: that day is unlikely to come. Trump is the duct 1518 01:17:18,240 --> 01:17:21,040 Speaker 1: tape that holds a GOP together and the Democratic Party. 1519 01:17:21,240 --> 01:17:24,000 Speaker 1: He's the only first force on earth which can quite 1520 01:17:24,080 --> 01:17:27,960 Speaker 1: literally trump things like the economy or social change and 1521 01:17:28,040 --> 01:17:31,519 Speaker 1: make the election about him. Either get with it or 1522 01:17:31,560 --> 01:17:34,360 Speaker 1: get out. It's fine to get out, but don't delude 1523 01:17:34,360 --> 01:17:37,320 Speaker 1: yourself anymore. This is it drives me crazy. John Bolton, 1524 01:17:37,400 --> 01:17:40,519 Speaker 1: our party, dude, it's over. You're right on the ride. 1525 01:17:40,880 --> 01:17:43,800 Speaker 1: And if you want to hear my reaction to Sager's monologue, 1526 01:17:43,840 --> 01:17:50,479 Speaker 1: become a premium subscriber today at Breakingpoints dot Com. All right, guys, 1527 01:17:50,520 --> 01:17:53,040 Speaker 1: to break down the very latest in terms of the 1528 01:17:53,160 --> 01:17:56,559 Speaker 1: mid term election landscape, we turn to two great old 1529 01:17:56,600 --> 01:17:58,800 Speaker 1: friends of the show for a little panel action. Here 1530 01:17:58,840 --> 01:18:01,679 Speaker 1: we've got Ryan Graham and Emily Tashinski in the house 1531 01:18:01,720 --> 01:18:03,120 Speaker 1: to break it all down. Great to see you, guys. 1532 01:18:03,120 --> 01:18:07,240 Speaker 1: Good to see your friends. The panel back can effect. Yes, yeah, 1533 01:18:06,800 --> 01:18:09,280 Speaker 1: we haven't been doing the panels later. Yeah, I can't 1534 01:18:09,280 --> 01:18:10,760 Speaker 1: say I missed it, but with these two I did 1535 01:18:10,760 --> 01:18:13,360 Speaker 1: miss that. Yeah. You know, people really like it, especially 1536 01:18:13,400 --> 01:18:15,479 Speaker 1: as you get close to elections and there's like poll 1537 01:18:15,560 --> 01:18:17,400 Speaker 1: data to dive into, which is exactly what we're going 1538 01:18:17,479 --> 01:18:20,840 Speaker 1: to do today. So let me give you two of 1539 01:18:20,840 --> 01:18:23,400 Speaker 1: the latest polls, both of which I think are a 1540 01:18:23,439 --> 01:18:25,400 Speaker 1: bit outliers, but are interesting none the less. Let's go 1541 01:18:25,400 --> 01:18:27,639 Speaker 1: ahead and put the first one up on the screen here. 1542 01:18:28,040 --> 01:18:34,160 Speaker 1: So this is in Wisconsin, where you have Ever's the governor, 1543 01:18:34,439 --> 01:18:38,439 Speaker 1: up over slightly over the Republican. This is like the 1544 01:18:38,439 --> 01:18:39,960 Speaker 1: trump back guy. I don't even know how you say 1545 01:18:40,000 --> 01:18:43,879 Speaker 1: his last name, Michelle's Michaels. Anyway, while you have Mandela Barnes, 1546 01:18:43,920 --> 01:18:47,400 Speaker 1: the Democrat in the Senate race, up fifty one forty 1547 01:18:47,439 --> 01:18:50,960 Speaker 1: four over Ron Johnson. So that would be a potential 1548 01:18:51,160 --> 01:18:54,839 Speaker 1: pickup for Democrats in Wisconsin. That is not something anyone 1549 01:18:54,880 --> 01:18:57,080 Speaker 1: really expected to be talking about at this point in 1550 01:18:57,120 --> 01:18:59,680 Speaker 1: the election cycle. And then the other one, which we've 1551 01:18:59,680 --> 01:19:02,000 Speaker 1: been taught talking about relentlessly because it's just so damn 1552 01:19:02,040 --> 01:19:05,240 Speaker 1: much fun, is over in Pennsylvania. Let's go ahead, put 1553 01:19:05,280 --> 01:19:08,160 Speaker 1: this next one up on the screen. New poll with 1554 01:19:08,960 --> 01:19:12,639 Speaker 1: huge margins for both of the Democrats in the governor's 1555 01:19:12,720 --> 01:19:17,160 Speaker 1: race and in the Senate race. You've got Fetterman up 1556 01:19:17,520 --> 01:19:21,600 Speaker 1: eighteen points over Oz and you have Shapiro up fifteen 1557 01:19:21,640 --> 01:19:24,800 Speaker 1: points over Mastriano. Now again, I think both of these 1558 01:19:24,840 --> 01:19:28,360 Speaker 1: poles guys are outliers, but certainly Fetterman in the average 1559 01:19:28,360 --> 01:19:32,320 Speaker 1: of polls, Ryan has been up roughly ten points somewhere 1560 01:19:32,360 --> 01:19:35,040 Speaker 1: around there. He's been, you know, cracking fifty percent, so 1561 01:19:35,120 --> 01:19:37,559 Speaker 1: he looks like he's in pretty decent shape at this point. 1562 01:19:37,840 --> 01:19:39,519 Speaker 1: We haven't checked in with you guys for a while, 1563 01:19:39,560 --> 01:19:41,120 Speaker 1: so Ryan, if you could just start by kind of 1564 01:19:41,400 --> 01:19:44,120 Speaker 1: giving your high level view of how you think the 1565 01:19:44,160 --> 01:19:48,400 Speaker 1: midterms stand right now. Well, there's I think there's been 1566 01:19:48,400 --> 01:19:51,639 Speaker 1: a massive swing in say the last month or so, 1567 01:19:51,760 --> 01:19:56,120 Speaker 1: like the period after the Dobbs decision where Democrats spent 1568 01:19:56,280 --> 01:19:58,799 Speaker 1: something you know, they spent something like what two months 1569 01:19:59,000 --> 01:20:01,559 Speaker 1: from the time the decision was leaked until they finally 1570 01:20:01,600 --> 01:20:03,719 Speaker 1: put out what they were going to do in response 1571 01:20:03,720 --> 01:20:09,280 Speaker 1: to the decision, and in that gap, Democratic voters felt 1572 01:20:09,320 --> 01:20:13,200 Speaker 1: like the sucking vacuum of an empty Democratic party, and 1573 01:20:13,200 --> 01:20:15,760 Speaker 1: you could you could just see people just kind of 1574 01:20:15,880 --> 01:20:17,880 Speaker 1: slowly backing the way into the bush to use that 1575 01:20:17,960 --> 01:20:20,679 Speaker 1: like Homer Simps, like, you know what, thought so hard 1576 01:20:20,800 --> 01:20:23,120 Speaker 1: for this party. We got Trump out of office, we 1577 01:20:23,160 --> 01:20:25,960 Speaker 1: put this we put these Democrats in and they're just 1578 01:20:26,200 --> 01:20:29,480 Speaker 1: not going to do anything. And I think actually Kansas 1579 01:20:29,520 --> 01:20:33,240 Speaker 1: really changed the game for for Democrats across the board 1580 01:20:33,320 --> 01:20:35,879 Speaker 1: because they're you know, they're flat on their back in Brooklyn, 1581 01:20:36,120 --> 01:20:38,880 Speaker 1: and they see people in Kansas kind of standing up 1582 01:20:38,960 --> 01:20:41,879 Speaker 1: for their own for their own reproductive rights, and Kansas 1583 01:20:41,920 --> 01:20:44,360 Speaker 1: holds a really kind of symbolic place in the heart 1584 01:20:44,400 --> 01:20:47,519 Speaker 1: of America for both parties, and I think to see 1585 01:20:47,560 --> 01:20:50,240 Speaker 1: that started giving them energy. And then at the same time, 1586 01:20:50,280 --> 01:20:53,439 Speaker 1: you get Mansion back on board and they sign off 1587 01:20:53,439 --> 01:20:55,360 Speaker 1: and they do there whatever they're calling it now, the 1588 01:20:55,360 --> 01:20:58,360 Speaker 1: Inflation Reduction Act, and so finally looks like they're doing something. 1589 01:20:58,520 --> 01:21:01,200 Speaker 1: And so I think that that has back a lot 1590 01:21:01,200 --> 01:21:04,040 Speaker 1: of those kind of resistance Democrats who were walking away 1591 01:21:04,040 --> 01:21:06,160 Speaker 1: and being like I'm done now. And I think they're 1592 01:21:06,200 --> 01:21:09,280 Speaker 1: back phone banking, they're back donating, They're they're definitely going 1593 01:21:09,320 --> 01:21:13,000 Speaker 1: to vote, you know, they're they're they're fired up, and 1594 01:21:13,400 --> 01:21:16,719 Speaker 1: what happens with this, the fallout from the raid, I think, 1595 01:21:17,080 --> 01:21:19,679 Speaker 1: you know, heavily influences whether you see that same energy 1596 01:21:19,800 --> 01:21:22,639 Speaker 1: on the right. So I wasn't terribly surprised to see 1597 01:21:22,640 --> 01:21:25,880 Speaker 1: these poll numbers. And I bet Mark Kelly's probably looking 1598 01:21:25,920 --> 01:21:28,559 Speaker 1: pretty strong in Arizona too. I think that's right. Eddie. 1599 01:21:28,560 --> 01:21:31,240 Speaker 1: How about you? How are you doing things well? And 1600 01:21:31,240 --> 01:21:33,040 Speaker 1: the difference there is that Mark Kelly, I think, is 1601 01:21:33,120 --> 01:21:35,680 Speaker 1: up against a really strong candidate, whereas you could not 1602 01:21:36,240 --> 01:21:39,479 Speaker 1: possibly ask for a better foil to John Fetterman, who 1603 01:21:39,520 --> 01:21:41,559 Speaker 1: is a great candidate, maybe one of the best candidates 1604 01:21:41,600 --> 01:21:44,200 Speaker 1: the dumbsfield of this cycle than doctor Oz. He is 1605 01:21:44,280 --> 01:21:49,360 Speaker 1: just an absolutely atrocious candidate across the board. And interestingly enough, 1606 01:21:49,400 --> 01:21:51,799 Speaker 1: that speaks to how the right is sort of reacting 1607 01:21:51,800 --> 01:21:55,080 Speaker 1: to this new era because Donald Trump got behind Oz, 1608 01:21:55,200 --> 01:21:58,720 Speaker 1: specifically with the reasoning that he was electable, that he 1609 01:21:58,800 --> 01:22:02,479 Speaker 1: was electable, that Doc Oz was most selectable, and it's 1610 01:22:02,560 --> 01:22:06,000 Speaker 1: just a complete misunderstanding from Trump himself of why Trump 1611 01:22:06,080 --> 01:22:09,400 Speaker 1: was successful. Somebody who doesn't like run away from the 1612 01:22:09,400 --> 01:22:11,960 Speaker 1: fact that he's made tons and tons of money, whereas 1613 01:22:12,000 --> 01:22:14,920 Speaker 1: doctor Oz, you see him pretending he's at a Wegmans 1614 01:22:14,960 --> 01:22:17,439 Speaker 1: that he didn't even get the name correct. It was 1615 01:22:17,439 --> 01:22:20,240 Speaker 1: the most hilarious clip I've ever seen. He doesn't even 1616 01:22:20,280 --> 01:22:22,439 Speaker 1: know where he is. He's in a grocery store trying 1617 01:22:22,479 --> 01:22:26,120 Speaker 1: to just pretending when he's looking for cru Deta that 1618 01:22:26,200 --> 01:22:31,320 Speaker 1: he's just your regular Pennsylvanian. And it's just outrageous. And 1619 01:22:31,400 --> 01:22:33,920 Speaker 1: so I think it's pretty clear we'll start to see 1620 01:22:34,000 --> 01:22:37,120 Speaker 1: after August when the money starts getting spent. We saw 1621 01:22:37,320 --> 01:22:40,760 Speaker 1: in Kansas. I think the messaging get tested and that 1622 01:22:40,880 --> 01:22:43,400 Speaker 1: brought in a lot of people who are not just 1623 01:22:43,479 --> 01:22:47,400 Speaker 1: your just not just reliable Democratic voters, but people in 1624 01:22:47,439 --> 01:22:50,400 Speaker 1: the middle independent swing voters. And when you have an 1625 01:22:50,439 --> 01:22:52,639 Speaker 1: opportunity to test the messaging like that and you see 1626 01:22:52,680 --> 01:22:55,400 Speaker 1: it be successful, and then you start putting money behind it, 1627 01:22:55,680 --> 01:22:58,640 Speaker 1: when you get into the fall September or October, I 1628 01:22:58,640 --> 01:23:02,519 Speaker 1: would expect that we see those numbers pretty similar through 1629 01:23:02,560 --> 01:23:06,320 Speaker 1: election day. With Fetterman in OZ Wisconsin is another story. 1630 01:23:06,439 --> 01:23:09,800 Speaker 1: I think run Johnson is a very different kind of 1631 01:23:09,840 --> 01:23:12,760 Speaker 1: candidate because he's actually been he's sort of trumpy, but 1632 01:23:12,800 --> 01:23:15,040 Speaker 1: he's been in office for a while now and he 1633 01:23:15,120 --> 01:23:17,719 Speaker 1: has a record to run on. So I would expect 1634 01:23:17,720 --> 01:23:19,639 Speaker 1: that one to be a little tighter, and those Marquette 1635 01:23:19,640 --> 01:23:22,519 Speaker 1: polls are outliers family. You're from Wisconsin. I'm sure the 1636 01:23:22,560 --> 01:23:25,400 Speaker 1: audience probably knows that, but you know, Johnson, maybe you 1637 01:23:25,439 --> 01:23:27,640 Speaker 1: can explain kind of what's going on there, which I 1638 01:23:27,640 --> 01:23:30,439 Speaker 1: think is interesting because you just had this lieutenant governor 1639 01:23:30,439 --> 01:23:33,519 Speaker 1: candidate actually lose the primary of the Scott Walker era. 1640 01:23:33,840 --> 01:23:36,960 Speaker 1: Johnson actually won during that time. Yeah, he's also kind 1641 01:23:36,960 --> 01:23:40,120 Speaker 1: of transformed himself into a MAGA warrior, but doesn't really 1642 01:23:40,200 --> 01:23:43,360 Speaker 1: change on policy. So how does he maintain his popularity 1643 01:23:43,760 --> 01:23:45,920 Speaker 1: in the state and will he be able to you know, 1644 01:23:45,960 --> 01:23:48,080 Speaker 1: he pulled an upset kind of in the last election. 1645 01:23:48,200 --> 01:23:50,960 Speaker 1: You think that's going to happen this time again. I 1646 01:23:52,600 --> 01:23:55,599 Speaker 1: think it's very possible. I really would not rule out 1647 01:23:55,640 --> 01:23:58,040 Speaker 1: Roun Johnson, and I did a podcast with him a 1648 01:23:58,040 --> 01:23:59,800 Speaker 1: few months ago, just sort of talking through some of this, 1649 01:24:00,240 --> 01:24:03,880 Speaker 1: and I think his MAGA transformation has been entirely authentic. 1650 01:24:03,920 --> 01:24:05,880 Speaker 1: I think he's been one of those people in the 1651 01:24:05,920 --> 01:24:09,760 Speaker 1: country who actually, you know, especially older Americans, who have 1652 01:24:09,800 --> 01:24:11,479 Speaker 1: seen the direction of the country and have sort of 1653 01:24:11,520 --> 01:24:13,840 Speaker 1: gone into that wing of the party because of it. 1654 01:24:14,600 --> 01:24:16,720 Speaker 1: And so I think he's one of those people who 1655 01:24:16,760 --> 01:24:18,920 Speaker 1: can actually run on something that he at this point 1656 01:24:19,000 --> 01:24:22,439 Speaker 1: really believes, and he's been on the I think he 1657 01:24:22,520 --> 01:24:25,800 Speaker 1: Senate Intel for a long time and has made a 1658 01:24:25,840 --> 01:24:28,519 Speaker 1: lot of decisions. He has been has his name on 1659 01:24:28,520 --> 01:24:32,719 Speaker 1: a lot of different investigations, especially as it relates to Russia, 1660 01:24:33,160 --> 01:24:35,760 Speaker 1: the Russia hoax, and the Intel community, which I don't 1661 01:24:35,760 --> 01:24:38,240 Speaker 1: think people really vote on, but I do think it's 1662 01:24:38,280 --> 01:24:40,519 Speaker 1: like an example of something you can say you've been 1663 01:24:40,560 --> 01:24:43,519 Speaker 1: doing in Congress, which again is different than doctor Oz 1664 01:24:44,080 --> 01:24:47,320 Speaker 1: and different than other candidates that Republicans have fielded this cycle. 1665 01:24:47,680 --> 01:24:50,080 Speaker 1: So I think one advantage he really has going for 1666 01:24:50,160 --> 01:24:54,439 Speaker 1: him is honestly that he's running on stuff he believes in, 1667 01:24:54,640 --> 01:24:56,679 Speaker 1: and he is sincere about it, and he's actually done 1668 01:24:56,680 --> 01:24:59,320 Speaker 1: work in that direction, and voters like that, They like 1669 01:24:59,439 --> 01:25:02,519 Speaker 1: the they feel like they can trust people. So I 1670 01:25:02,560 --> 01:25:05,800 Speaker 1: think it's a more difficult landscape than Republicans expected it 1671 01:25:05,840 --> 01:25:07,320 Speaker 1: to be. You have a built an advantage if you're 1672 01:25:07,320 --> 01:25:10,599 Speaker 1: a Republican and gas prices continue to be I mean 1673 01:25:10,680 --> 01:25:14,040 Speaker 1: north of you know, three fifty even, that's not great 1674 01:25:14,520 --> 01:25:19,160 Speaker 1: and a less thanstellar economy, so we'll see with inflation 1675 01:25:19,200 --> 01:25:22,519 Speaker 1: it's a built in advantage. But he's an interesting candidate. 1676 01:25:22,720 --> 01:25:24,960 Speaker 1: What do you think about the Wisconsin piece, Ryan, because 1677 01:25:25,000 --> 01:25:27,160 Speaker 1: I mean, Ron Johnson has gone in on some stuff, 1678 01:25:27,160 --> 01:25:28,960 Speaker 1: the steal stuff. I mean, this is a state that 1679 01:25:29,040 --> 01:25:31,360 Speaker 1: is very much a swing state, and he seems to 1680 01:25:31,400 --> 01:25:34,479 Speaker 1: have positioned himself on the fringe in terms of especially 1681 01:25:34,479 --> 01:25:37,599 Speaker 1: some of the election conspiracies. Yeah, and I'd be curious 1682 01:25:37,640 --> 01:25:39,320 Speaker 1: if Emily agrees with us. But I think he got 1683 01:25:39,439 --> 01:25:44,519 Speaker 1: radicalized in twenty sixteen when the Koch brothers and Mitch 1684 01:25:44,600 --> 01:25:48,960 Speaker 1: McConnell all kind of publicly abandoned his race and they 1685 01:25:49,000 --> 01:25:51,400 Speaker 1: pulled their ads from him, and they said, you know, 1686 01:25:51,800 --> 01:25:53,720 Speaker 1: he's going to lose to Russ Finegeld. You know, we 1687 01:25:53,760 --> 01:25:57,040 Speaker 1: need to put money elsewhere. At the time, a lot 1688 01:25:57,080 --> 01:25:59,559 Speaker 1: of polls had him down double digits. Like that was 1689 01:26:00,080 --> 01:26:02,320 Speaker 1: that was a race that Democrats had kind of checked 1690 01:26:02,320 --> 01:26:05,400 Speaker 1: the box on and said, all right, Ron Johnson's gone 1691 01:26:05,479 --> 01:26:09,800 Speaker 1: rustline Gold is coming back. And Johnson stormed back and 1692 01:26:09,920 --> 01:26:12,240 Speaker 1: ended up win obviously winning that race, which is why 1693 01:26:12,280 --> 01:26:14,479 Speaker 1: he's still still in office. And when he came back 1694 01:26:14,520 --> 01:26:17,200 Speaker 1: to the Senate after that, he was he was kind 1695 01:26:17,200 --> 01:26:20,679 Speaker 1: of a changed man, and that coincided with Trump's election, 1696 01:26:20,840 --> 01:26:24,040 Speaker 1: so there was a so his fury at the Republican 1697 01:26:24,160 --> 01:26:27,559 Speaker 1: establishment that had betrayed him in the election now had 1698 01:26:27,880 --> 01:26:30,080 Speaker 1: a vehicle that he could kind of ride with. And 1699 01:26:30,920 --> 01:26:34,479 Speaker 1: I think he has really varies genuinely. It seems like 1700 01:26:34,800 --> 01:26:39,120 Speaker 1: written in that vehicle, and like you said on podcasts 1701 01:26:39,560 --> 01:26:42,799 Speaker 1: in radio shows, like he will just he'll just go wherever. 1702 01:26:43,120 --> 01:26:47,080 Speaker 1: Like he's become a just kind of wild, loose cannon. 1703 01:26:47,160 --> 01:26:48,960 Speaker 1: And I think that there is a there is a 1704 01:26:49,000 --> 01:26:52,920 Speaker 1: genuine base for that, definitely within the Republican Party. But 1705 01:26:53,240 --> 01:26:55,920 Speaker 1: to your point about it being a swing state, I'm 1706 01:26:55,960 --> 01:26:59,679 Speaker 1: not sure that there's necessarily enough when it comes to independence, 1707 01:26:59,720 --> 01:27:02,880 Speaker 1: and that's that poll showed that that Barnes had had 1708 01:27:02,920 --> 01:27:05,800 Speaker 1: a double digit lead among independence whereas Evers only had 1709 01:27:05,800 --> 01:27:08,360 Speaker 1: a slight lead among independence, and that was the entire gap. 1710 01:27:09,080 --> 01:27:12,040 Speaker 1: So we'll see. Now Barnes, though was pretty pretty is 1711 01:27:12,080 --> 01:27:14,880 Speaker 1: not well known, even though he's a lieutenant governor, and 1712 01:27:14,960 --> 01:27:17,360 Speaker 1: so I would think he needs at least this seven 1713 01:27:17,360 --> 01:27:19,639 Speaker 1: point lead going into the last couple of months because 1714 01:27:19,720 --> 01:27:22,040 Speaker 1: you know, they're, you know, Johnson's going to have you know, 1715 01:27:22,080 --> 01:27:25,679 Speaker 1: millions of dollars to paint him as radical and defunding 1716 01:27:25,680 --> 01:27:27,600 Speaker 1: the police, and you know what, we'll have you know, 1717 01:27:27,920 --> 01:27:30,559 Speaker 1: all all those sorts of things. So I do think 1718 01:27:30,600 --> 01:27:32,479 Speaker 1: you're going to see that leader road and I think 1719 01:27:32,479 --> 01:27:35,080 Speaker 1: you can't count Johnson out because of his you know, 1720 01:27:35,160 --> 01:27:38,160 Speaker 1: major shocking comeback just six years ago. Yeah, I think 1721 01:27:38,320 --> 01:27:40,760 Speaker 1: I was just going to say, yeah that you know 1722 01:27:40,840 --> 01:27:43,719 Speaker 1: that that independent number is really important because that's who's 1723 01:27:43,760 --> 01:27:46,479 Speaker 1: exactly going to be attacked. And the Johnson ads trying 1724 01:27:46,479 --> 01:27:49,840 Speaker 1: to tie Barnes to radical elements of the Democratic Party 1725 01:27:49,880 --> 01:27:52,479 Speaker 1: and so that's the vulnerability and to the extent that 1726 01:27:52,479 --> 01:27:55,320 Speaker 1: that's where he is now, that's where people should focus 1727 01:27:55,360 --> 01:27:57,200 Speaker 1: when they're looking at this race going into the fall, 1728 01:27:57,280 --> 01:27:59,639 Speaker 1: for sure. You know, Emily, something I was curious about 1729 01:27:59,760 --> 01:28:01,560 Speaker 1: is Chrisalan talk about this all the time. If you 1730 01:28:01,680 --> 01:28:04,160 Speaker 1: zoom out, you're like, obviously Republicans are going to win, 1731 01:28:04,439 --> 01:28:07,320 Speaker 1: you start to zoom in more candidate quality. It's one 1732 01:28:07,360 --> 01:28:10,280 Speaker 1: of those things that gets debated as non ad nauseam. 1733 01:28:10,680 --> 01:28:13,840 Speaker 1: We have reams of data over the last decade or 1734 01:28:13,880 --> 01:28:16,400 Speaker 1: so that tell us that candidate quality has declined, but 1735 01:28:16,520 --> 01:28:20,360 Speaker 1: yet candidate quality for doctor Oz, for herschel Walker, for 1736 01:28:20,720 --> 01:28:24,000 Speaker 1: many of these key races does seem to matter, So like, 1737 01:28:24,120 --> 01:28:26,600 Speaker 1: how how are you thinking about that in the individual 1738 01:28:26,720 --> 01:28:32,240 Speaker 1: characteristics versus the macro environment. It's curious, curious family. My 1739 01:28:32,320 --> 01:28:35,160 Speaker 1: quick take is that, oh, go ahead, Ryan, when they 1740 01:28:35,160 --> 01:28:38,759 Speaker 1: were studying this, you didn't have this massive divergence of 1741 01:28:38,760 --> 01:28:41,679 Speaker 1: of candidate quality. You didn't have doctor hers Walker wasn't 1742 01:28:41,720 --> 01:28:45,760 Speaker 1: running that that. Yeah, Emily, what's that's true? What do 1743 01:28:45,760 --> 01:28:48,680 Speaker 1: you think, Emily? Well, so both Here's where it is 1744 01:28:48,720 --> 01:28:52,200 Speaker 1: really kind of interesting. Both Mitch McConnell's camp and the 1745 01:28:52,280 --> 01:28:56,320 Speaker 1: Trump camp would be extremely frustrated about candidate quality as 1746 01:28:56,320 --> 01:28:58,840 Speaker 1: they see it in the Republican field this election cycle. 1747 01:28:58,880 --> 01:29:03,040 Speaker 1: Because for the mcconnald's you have the herschel Walkers, you 1748 01:29:03,120 --> 01:29:06,400 Speaker 1: have those guys, and from the Trump perspective, you still 1749 01:29:06,439 --> 01:29:09,120 Speaker 1: have some establishment folks. And so I think it's this 1750 01:29:09,520 --> 01:29:12,799 Speaker 1: standard of what makes a quality candidate for the Republican Party. 1751 01:29:13,040 --> 01:29:16,360 Speaker 1: It's just completely different on two like leading sides. Whether 1752 01:29:16,400 --> 01:29:18,960 Speaker 1: you're at the RNC or you're in the camp at 1753 01:29:18,960 --> 01:29:20,840 Speaker 1: the head of the party, Donald Trump, you have a 1754 01:29:20,880 --> 01:29:24,439 Speaker 1: completely different take. And that's where you ended up electing 1755 01:29:24,439 --> 01:29:28,640 Speaker 1: people in primaries like herschel Walker because that sort of 1756 01:29:28,680 --> 01:29:33,479 Speaker 1: Trump litmus test. It's not always a perfect as you 1757 01:29:33,520 --> 01:29:35,960 Speaker 1: can imagine, it's not always a perfect way to decide 1758 01:29:36,000 --> 01:29:38,800 Speaker 1: who's the quality the quality candidate in any given race. 1759 01:29:38,880 --> 01:29:42,000 Speaker 1: And so that broader confusion, I think has led soccer 1760 01:29:42,120 --> 01:29:44,760 Speaker 1: to what you're saying on this micro level, a map 1761 01:29:44,800 --> 01:29:47,120 Speaker 1: that's really not as good as Republicans thought it would be. 1762 01:29:47,520 --> 01:29:50,240 Speaker 1: Ran you really do directly have Trump's ablayman a lot 1763 01:29:50,240 --> 01:29:52,800 Speaker 1: of these cases, and I mean herschel Walker totally clear. 1764 01:29:52,840 --> 01:29:54,400 Speaker 1: They cleared the feel for this guy, and then it 1765 01:29:54,439 --> 01:29:56,360 Speaker 1: was like, WHOA, this is. This is an issue that 1766 01:29:56,360 --> 01:29:58,800 Speaker 1: should be a seat that's a layoup for them, Pennsylvania 1767 01:29:58,840 --> 01:30:00,960 Speaker 1: should be a layot for them, and Sire and I 1768 01:30:01,000 --> 01:30:04,160 Speaker 1: were both shocked at what a I would I would 1769 01:30:04,240 --> 01:30:06,479 Speaker 1: go so far as to say doctor Oz is actually 1770 01:30:06,520 --> 01:30:10,719 Speaker 1: a worse candidate than herschel Walker, because you're not just like, WHOA, 1771 01:30:10,760 --> 01:30:12,920 Speaker 1: this guy's out of his depth. You're like, I hate 1772 01:30:12,960 --> 01:30:16,439 Speaker 1: this guy. I cannot like he's terrible. You have a 1773 01:30:16,560 --> 01:30:19,800 Speaker 1: visceral reaction to him. But even like Emily mentioned Blake 1774 01:30:19,840 --> 01:30:22,599 Speaker 1: Masters before, who you know was the sort of Trump 1775 01:30:23,000 --> 01:30:24,799 Speaker 1: Trump kind of cleared the feel for him in Arizona 1776 01:30:24,840 --> 01:30:27,120 Speaker 1: as well. He has some positions that are very out 1777 01:30:27,160 --> 01:30:29,760 Speaker 1: of the mainstream. He wants to he talked about privatizing 1778 01:30:29,840 --> 01:30:32,920 Speaker 1: social Security, he wants a federal ban on abortions. These 1779 01:30:32,920 --> 01:30:35,320 Speaker 1: are things that make it very difficult for him to 1780 01:30:35,360 --> 01:30:37,400 Speaker 1: win in a state that is now you know, a 1781 01:30:37,479 --> 01:30:39,920 Speaker 1: swing state, and I would still say is huge read. 1782 01:30:39,960 --> 01:30:42,360 Speaker 1: But Mark Kelly is a strong candidate, has his own 1783 01:30:42,400 --> 01:30:45,080 Speaker 1: profile there, and you know, has a much better chance 1784 01:30:45,120 --> 01:30:47,000 Speaker 1: at winning because of some of these positions that have 1785 01:30:47,040 --> 01:30:50,680 Speaker 1: been taken. Even jd Vance is underperforming in Ohio. Now 1786 01:30:50,720 --> 01:30:52,599 Speaker 1: do I think jd vance is going to win, Yes, 1787 01:30:52,680 --> 01:30:55,000 Speaker 1: but they're having a focus on the Straation and think 1788 01:30:55,000 --> 01:30:58,400 Speaker 1: about it and spend more money there than they ultimately expected. 1789 01:30:58,640 --> 01:31:03,000 Speaker 1: So yeah, yeah, the magabase may like some of these candidates, 1790 01:31:03,080 --> 01:31:05,600 Speaker 1: but just in terms of the numbers and how they're performing, 1791 01:31:05,760 --> 01:31:09,040 Speaker 1: this has created a very difficult situation for Republicans where 1792 01:31:09,080 --> 01:31:12,280 Speaker 1: not only are they now at a disadvantage to win 1793 01:31:12,320 --> 01:31:15,200 Speaker 1: the Senate, they're in a position they may actually Democrats 1794 01:31:15,240 --> 01:31:19,280 Speaker 1: could theoretically even gain ground in the Senate. Yeah, I 1795 01:31:19,320 --> 01:31:22,400 Speaker 1: think you're right that Jadie Vance is probably fine in Ohio, 1796 01:31:22,400 --> 01:31:24,200 Speaker 1: but there have been polls that have been showing that 1797 01:31:24,400 --> 01:31:28,639 Speaker 1: race pretty close. Now, structurally, Ohio is so tough for Democrats, 1798 01:31:28,680 --> 01:31:30,640 Speaker 1: it's very hard to see. But your point is an 1799 01:31:30,640 --> 01:31:33,439 Speaker 1: excellent one, and it shows that there are multiple ways 1800 01:31:33,479 --> 01:31:36,320 Speaker 1: to be a bad candidate. There's the Herschel walkerway, there's 1801 01:31:36,439 --> 01:31:38,679 Speaker 1: doctor osway, and then there's the kind of Blake and JD. 1802 01:31:38,800 --> 01:31:42,360 Speaker 1: Vance way where you're smart, you're articulate, you have a 1803 01:31:42,439 --> 01:31:47,360 Speaker 1: roughly coherent ideology that you're presenting to voters, but it's 1804 01:31:47,400 --> 01:31:49,800 Speaker 1: anathma to a lot of swing voters. Like you said, 1805 01:31:49,800 --> 01:31:52,759 Speaker 1: some of the positions that he has taken Blake Masters 1806 01:31:52,760 --> 01:31:55,280 Speaker 1: in Arizona. I think Mark Kelly is just going to 1807 01:31:55,560 --> 01:31:58,400 Speaker 1: absolutely wail away on in the same way that kind 1808 01:31:58,400 --> 01:32:00,639 Speaker 1: of Ron Johnson is going to hammer away at some 1809 01:32:00,720 --> 01:32:04,200 Speaker 1: of at some of Barnes's links to the kind of 1810 01:32:04,200 --> 01:32:09,320 Speaker 1: progressive left in Wisconsin. The difference will probably be that 1811 01:32:09,320 --> 01:32:11,479 Speaker 1: that Kelly will be able to find a lot of, 1812 01:32:11,840 --> 01:32:14,360 Speaker 1: you know, just video of Masters just saying these things 1813 01:32:14,439 --> 01:32:17,040 Speaker 1: out loud, where Johnson's going to have to show pictures 1814 01:32:17,080 --> 01:32:20,120 Speaker 1: of Barnes at a Black Lives Matter rally or you know, 1815 01:32:20,240 --> 01:32:23,880 Speaker 1: otherwise kind of make these kind of bank shot connections. 1816 01:32:23,920 --> 01:32:28,200 Speaker 1: But yeah, I think Masters, while he's obviously a smart, 1817 01:32:28,520 --> 01:32:32,840 Speaker 1: particulate candidate with a coherent philosophy, is not is not 1818 01:32:32,880 --> 01:32:34,800 Speaker 1: a good candidate. It is not. And I think like 1819 01:32:35,040 --> 01:32:37,280 Speaker 1: Mitch McConnell in other words, like would agree with that. 1820 01:32:37,320 --> 01:32:39,960 Speaker 1: He'd be like, this isn't This isn't the person I 1821 01:32:40,000 --> 01:32:42,320 Speaker 1: would put up if I'm trying to win a swing 1822 01:32:42,360 --> 01:32:46,040 Speaker 1: state in like Arizona. It depends what Master shows up. 1823 01:32:46,240 --> 01:32:48,360 Speaker 1: It depends what Master shows up, right, which is that 1824 01:32:48,439 --> 01:32:51,240 Speaker 1: sometimes he's talking about family policy and he's critiquing the 1825 01:32:51,280 --> 01:32:54,320 Speaker 1: fact that there's no childcare subsidies in the Inflation Reduction Act. 1826 01:32:54,360 --> 01:32:56,320 Speaker 1: Then sometimes he's talking about a national ban on abortion. 1827 01:32:56,400 --> 01:32:59,519 Speaker 1: It's like, well, I don't know, I don't know, cancels emails, 1828 01:32:59,560 --> 01:33:02,400 Speaker 1: they're out, Kelly's gonna run ads on Yeah, well already 1829 01:33:02,439 --> 01:33:04,720 Speaker 1: are running out. Yeah. His final thoughts Emily on that, 1830 01:33:04,760 --> 01:33:08,040 Speaker 1: what do you think? Yeah, it's a really interesting point. 1831 01:33:08,040 --> 01:33:12,160 Speaker 1: And it's also two Democrats, National Democrats struggle with two 1832 01:33:12,280 --> 01:33:17,439 Speaker 1: people who flirted with unpopular policies. Whether it's like sex 1833 01:33:17,479 --> 01:33:20,840 Speaker 1: and gender CRT, whatever it is. Republicans can use that. 1834 01:33:20,920 --> 01:33:23,599 Speaker 1: I don't know if that's something that will successfully work 1835 01:33:23,600 --> 01:33:28,599 Speaker 1: against Mark Kelly, But in other races Ohio certainly, Wisconsin certainly, 1836 01:33:28,640 --> 01:33:31,639 Speaker 1: you'll definitely see that played. And it's just a good 1837 01:33:31,640 --> 01:33:34,760 Speaker 1: example of how both parties just are not serving constituents 1838 01:33:34,840 --> 01:33:37,400 Speaker 1: right now because of the distractions and because of the 1839 01:33:37,400 --> 01:33:40,200 Speaker 1: ways that people are forced to sort of float towards 1840 01:33:40,280 --> 01:33:42,719 Speaker 1: those polls, and we see that come out in general 1841 01:33:42,720 --> 01:33:46,200 Speaker 1: election season really clearly. The last thing that I just 1842 01:33:46,400 --> 01:33:50,800 Speaker 1: have to note is, you know, in the Pennsylvania race 1843 01:33:51,240 --> 01:33:54,760 Speaker 1: you had on the Democratic side, the Democratic establishment thought 1844 01:33:54,840 --> 01:33:58,160 Speaker 1: Connor Lamb was the more electable one. They were worried 1845 01:33:58,160 --> 01:34:00,920 Speaker 1: Fetterman was, you know too, As you said, Emily, I 1846 01:34:00,920 --> 01:34:02,840 Speaker 1: think is running one of the best campaigns in the 1847 01:34:02,840 --> 01:34:04,840 Speaker 1: country in spite of the fact that he's been hobbled by, 1848 01:34:04,960 --> 01:34:07,439 Speaker 1: you know, a serious health event. And then on the 1849 01:34:07,479 --> 01:34:10,000 Speaker 1: Republican side, they thought doctor Oz was going to be 1850 01:34:10,080 --> 01:34:12,960 Speaker 1: the most electable one. So it can be hard to 1851 01:34:13,000 --> 01:34:15,720 Speaker 1: predict this whole electability thing, especially when your brain is 1852 01:34:15,800 --> 01:34:19,599 Speaker 1: rotted by Beltway conventional wisdom. Guys, great to see you both, 1853 01:34:19,720 --> 01:34:21,439 Speaker 1: Thank you so much. We'll be doing more of this. 1854 01:34:21,520 --> 01:34:23,920 Speaker 1: We missed you guys. Thank you miss you guys too. 1855 01:34:24,439 --> 01:34:26,800 Speaker 1: Absolutely all right, thank you so much for watching. We 1856 01:34:26,840 --> 01:34:29,360 Speaker 1: really appreciate it. Had an amazing show for everybody today. 1857 01:34:29,360 --> 01:34:31,160 Speaker 1: I actually really really enjoyed it. What's that nice show? 1858 01:34:31,160 --> 01:34:33,280 Speaker 1: It was fun to bring back the panel, So I 1859 01:34:33,280 --> 01:34:35,559 Speaker 1: guess my thoughts have changed. I do miss it deeply. 1860 01:34:36,240 --> 01:34:38,360 Speaker 1: Thank you guys so much for supporting us. As we said, 1861 01:34:38,680 --> 01:34:41,320 Speaker 1: premium subscribers, watch out for the email. I'm going to 1862 01:34:41,320 --> 01:34:43,679 Speaker 1: try and get to arrive on time. We've been looking 1863 01:34:43,720 --> 01:34:45,760 Speaker 1: at some of the other back end problems with that. 1864 01:34:46,040 --> 01:34:49,200 Speaker 1: We're always experimenting making sure that everything is as smooth 1865 01:34:49,240 --> 01:34:51,759 Speaker 1: as possible. We heard you on the Vimeo YouTube debate. 1866 01:34:52,160 --> 01:34:53,960 Speaker 1: You will be getting both if you want to help 1867 01:34:54,040 --> 01:34:56,000 Speaker 1: us out. We deeply appreciate it. As you can see, 1868 01:34:56,000 --> 01:34:57,559 Speaker 1: you know, dude, actually spend quite a bit of time 1869 01:34:57,600 --> 01:35:00,400 Speaker 1: making sure the customer's experience is a seamless as possible. 1870 01:35:00,439 --> 01:35:02,880 Speaker 1: I know that it's a little bit convoluted, but you 1871 01:35:02,920 --> 01:35:04,960 Speaker 1: know it's not as easy as just being on cable 1872 01:35:04,960 --> 01:35:07,320 Speaker 1: news and getting paid by a big farmer company. Yeah, 1873 01:35:07,360 --> 01:35:09,800 Speaker 1: that's right. To talk to one hundred and eighty three 1874 01:35:09,800 --> 01:35:12,880 Speaker 1: thousand people, which different path. Imagine if our audience was 1875 01:35:12,880 --> 01:35:14,960 Speaker 1: only one hundred we'd be broke, I'll be broke and 1876 01:35:15,080 --> 01:35:17,639 Speaker 1: it was only one hundred eighty Yeah, goodn't anyway? Amazing 1877 01:35:17,840 --> 01:35:20,040 Speaker 1: all right, Love you guys, appreciate you. Have a great weekend. 1878 01:35:20,080 --> 01:35:21,120 Speaker 1: We'll see you back here next week