1 00:00:00,280 --> 00:00:03,440 Speaker 1: Cable news is ripping us apart, dividing the nation, making 2 00:00:03,440 --> 00:00:05,880 Speaker 1: it impossible to function as a society and to know 3 00:00:05,920 --> 00:00:08,680 Speaker 1: what is true and what is false. The good news 4 00:00:08,760 --> 00:00:10,800 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 --> 00:00:17,920 Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium 7 00:00:17,920 --> 00:00:21,520 Speaker 1: member today at breakingpoints dot com. Your hard earned money 8 00:00:21,560 --> 00:00:23,360 Speaker 1: is going to help us build for the midterms and 9 00:00:23,400 --> 00:00:27,360 Speaker 1: the upcoming presidential election so we can provide unparalleled coverage 10 00:00:27,360 --> 00:00:28,560 Speaker 1: of what is sure to be one of the most 11 00:00:28,600 --> 00:00:32,280 Speaker 1: pivotal moments in American history. So what are you waiting for? 12 00:00:32,479 --> 00:00:52,519 Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody, 13 00:00:52,560 --> 00:00:54,960 Speaker 1: Happy Monday. We have an amazing show for everybody today. 14 00:00:55,000 --> 00:00:56,280 Speaker 1: What do we have Chris Salt? Indeed, we do you 15 00:00:56,360 --> 00:00:58,480 Speaker 1: lots of interesting stories breaking this morning that we want 16 00:00:58,520 --> 00:01:02,800 Speaker 1: to tell you all about. So big developments in the 17 00:01:03,000 --> 00:01:06,959 Speaker 1: Gretchen Whitmer alleged kidnapping plot. The jury has come to 18 00:01:07,080 --> 00:01:09,959 Speaker 1: some decisions. We'll tell you about that. And I think 19 00:01:09,959 --> 00:01:12,280 Speaker 1: there's also a big story here about the media handling 20 00:01:12,440 --> 00:01:15,319 Speaker 1: of this case, once again not preparing people for what 21 00:01:15,400 --> 00:01:19,640 Speaker 1: the likely outcome would ultimately be President Trump making a 22 00:01:19,880 --> 00:01:24,120 Speaker 1: very controversial endorsement in the Pennsylvania Senate race, backing Doctor 23 00:01:24,120 --> 00:01:26,200 Speaker 1: Oz will tell you about that. We also have new 24 00:01:26,240 --> 00:01:31,000 Speaker 1: details about the quite dystopian lockdown going on in Shanghai 25 00:01:31,080 --> 00:01:34,560 Speaker 1: right now, what it says about the COVID zero policy 26 00:01:34,720 --> 00:01:37,480 Speaker 1: and approach to pandemics. New York Times has a new 27 00:01:37,520 --> 00:01:40,800 Speaker 1: Twitter policy that's pretty interesting, also pretty controversial. We have 28 00:01:40,959 --> 00:01:44,240 Speaker 1: an analyst on to talk about the French election, which 29 00:01:44,280 --> 00:01:47,319 Speaker 1: I'm pretty fascinated by me too. It's kind of a 30 00:01:47,360 --> 00:01:50,720 Speaker 1: stunning rejection of neoliberalism at a moment when there was 31 00:01:50,720 --> 00:01:54,400 Speaker 1: a lot of triumphalism about neoliberalism. So we'll get into 32 00:01:54,560 --> 00:01:56,960 Speaker 1: all of that. Yeah, But we have two big announcements 33 00:01:57,200 --> 00:01:59,960 Speaker 1: for everybody, for the premium subscribers. Number one, we are 34 00:02:00,000 --> 00:02:02,520 Speaker 1: We're going on the road, New York City, Here we come. 35 00:02:02,520 --> 00:02:05,160 Speaker 1: We're going to be there on Thursday. We're doing a 36 00:02:05,240 --> 00:02:07,880 Speaker 1: live show from a studio there in New York, not 37 00:02:08,000 --> 00:02:09,840 Speaker 1: live with an audience. We tried to make it happen, 38 00:02:09,880 --> 00:02:11,400 Speaker 1: but this is the best that we can do with 39 00:02:11,400 --> 00:02:13,480 Speaker 1: it was a little too We got this idea a 40 00:02:13,480 --> 00:02:15,320 Speaker 1: little last minute. It was the last one idea, but 41 00:02:15,520 --> 00:02:17,239 Speaker 1: we decided to make this work. So we're going to 42 00:02:17,320 --> 00:02:21,120 Speaker 1: be broadcasting live on YouTube. However, for our premium subs, 43 00:02:21,200 --> 00:02:23,080 Speaker 1: we have a very special treat for you all in 44 00:02:23,120 --> 00:02:25,880 Speaker 1: the email today. There is going to be a Google form. 45 00:02:25,880 --> 00:02:29,000 Speaker 1: We've got fifteen different choices. You guys get to program 46 00:02:29,040 --> 00:02:30,880 Speaker 1: the show. We're going to have Marshal Kaslof who lives 47 00:02:30,880 --> 00:02:33,680 Speaker 1: in New York City. Kyle Kolinski also lives in the 48 00:02:33,800 --> 00:02:36,320 Speaker 1: NYC area. We're going to be together. We're going live 49 00:02:36,639 --> 00:02:39,520 Speaker 1: on YouTube, but the premium subs you get to decide 50 00:02:39,560 --> 00:02:41,880 Speaker 1: which five topics that we're going to spend about two 51 00:02:41,919 --> 00:02:45,120 Speaker 1: hours going deeper into. We'll prepare as much as possible, 52 00:02:45,160 --> 00:02:47,400 Speaker 1: we'll talk, we'll debate. It'll be a lot of fun. 53 00:02:47,440 --> 00:02:49,839 Speaker 1: I think that everybody will enjoy. Like we said, we'll 54 00:02:49,840 --> 00:02:51,560 Speaker 1: go live and then the latter half of there will 55 00:02:51,639 --> 00:02:54,280 Speaker 1: do some questions. Of course, we'll take five questions as 56 00:02:54,320 --> 00:02:57,120 Speaker 1: normal from our premium subs. The others will do super 57 00:02:57,200 --> 00:02:59,880 Speaker 1: chat or something like that. But it's a fun new 58 00:03:00,000 --> 00:03:02,639 Speaker 1: experiment that I think that we're all getting into. Number one. 59 00:03:02,639 --> 00:03:04,840 Speaker 1: Two not a little bit different. Number two, and you guys, 60 00:03:04,880 --> 00:03:06,720 Speaker 1: are I think going to like this? You've asked us 61 00:03:06,720 --> 00:03:09,680 Speaker 1: for some time. For our premium subscribers, we are launching 62 00:03:09,800 --> 00:03:13,360 Speaker 1: a newsletter. So in the newsletter, every single day that 63 00:03:13,400 --> 00:03:15,280 Speaker 1: there is a show, we're going to have a summary 64 00:03:15,360 --> 00:03:17,680 Speaker 1: of all of the topics that we have here. We 65 00:03:17,760 --> 00:03:20,560 Speaker 1: are also going to include all of our sources, references 66 00:03:20,600 --> 00:03:23,560 Speaker 1: to past material that we've referenced. We've been working on 67 00:03:23,600 --> 00:03:25,600 Speaker 1: this for a really long time. We wanted to make 68 00:03:25,600 --> 00:03:28,360 Speaker 1: sure that it was an ironclad benefit for all of you. 69 00:03:28,440 --> 00:03:29,880 Speaker 1: So you guys have asked for a long time. Hey, 70 00:03:29,960 --> 00:03:31,600 Speaker 1: I want to see all the sources and stuff that 71 00:03:31,639 --> 00:03:34,200 Speaker 1: are in the show for your monologues. It's all right there. 72 00:03:34,240 --> 00:03:36,760 Speaker 1: You can check us in terms of what we say. 73 00:03:36,760 --> 00:03:38,560 Speaker 1: But even better, if you're busy and you're just in 74 00:03:38,600 --> 00:03:40,440 Speaker 1: the morning, you want to see what we have there. 75 00:03:40,480 --> 00:03:43,680 Speaker 1: It's going to be nice concise summary as well as 76 00:03:43,760 --> 00:03:46,080 Speaker 1: links and everything else that you could possibly want. Yeah, 77 00:03:46,160 --> 00:03:48,440 Speaker 1: make sure thank you to say thank you to James, guys, 78 00:03:48,440 --> 00:03:50,600 Speaker 1: because he's putting in the work with this. He claims 79 00:03:50,600 --> 00:03:53,000 Speaker 1: that he likes doing it. He says he likes it. 80 00:03:53,000 --> 00:03:57,520 Speaker 1: It currently clocks in today's edition at around fifteen hundred one. Yeah, 81 00:03:57,560 --> 00:03:59,720 Speaker 1: you'll see it's pretty extensive. I mean, the thing I'm 82 00:03:59,720 --> 00:04:02,880 Speaker 1: actually excited about is some of these stories. The Whitmer 83 00:04:02,960 --> 00:04:05,840 Speaker 1: case is a perfect example where we've been tracking it 84 00:04:05,920 --> 00:04:09,200 Speaker 1: for a long time, doing monologues, doing coverage. We'll have 85 00:04:09,240 --> 00:04:10,960 Speaker 1: a little bit of a trail of record there so 86 00:04:11,040 --> 00:04:12,800 Speaker 1: that you know, if this is the first time that 87 00:04:12,880 --> 00:04:14,920 Speaker 1: you're hearing of this story, you can go back and 88 00:04:14,960 --> 00:04:17,479 Speaker 1: look at the progression and some of the past coverage 89 00:04:17,520 --> 00:04:20,520 Speaker 1: that we've done. So I'm excited about that. You know, guys, 90 00:04:20,560 --> 00:04:23,920 Speaker 1: we're always trying to think of how we can deliver more, 91 00:04:24,080 --> 00:04:27,200 Speaker 1: deliver more quality product for you. That's what you know. 92 00:04:27,279 --> 00:04:29,960 Speaker 1: We both are kind of always turning over in our minds. 93 00:04:29,960 --> 00:04:31,400 Speaker 1: So let us know what you think of it. I 94 00:04:31,400 --> 00:04:33,479 Speaker 1: hope you find it additive, I hope you find it useful. 95 00:04:33,480 --> 00:04:35,480 Speaker 1: We're pretty excited. Yeah, I think all the premium subs 96 00:04:35,520 --> 00:04:37,240 Speaker 1: out there, you guys, are really going to enjoy it. 97 00:04:37,240 --> 00:04:38,400 Speaker 1: We want to make sure that you're having the best 98 00:04:38,480 --> 00:04:41,279 Speaker 1: experience possible. So summarize Number One, vote for your favorite 99 00:04:41,320 --> 00:04:43,480 Speaker 1: topics for the top five that we're the four of us, 100 00:04:43,680 --> 00:04:46,239 Speaker 1: we'll discuss during our live show. You'll get that link 101 00:04:46,400 --> 00:04:48,560 Speaker 1: for how to vote in your premium. We'll be in 102 00:04:48,560 --> 00:04:50,880 Speaker 1: your newsletter in your email with the link as well 103 00:04:50,960 --> 00:04:53,440 Speaker 1: to the show. And number two, check your email every 104 00:04:53,480 --> 00:04:55,400 Speaker 1: single day. You'll have a newsletter there waiting for you. 105 00:04:55,440 --> 00:04:56,840 Speaker 1: If it's a busy day or something like that, or 106 00:04:56,839 --> 00:04:58,640 Speaker 1: if you want to see what we covered, it's there. 107 00:04:58,760 --> 00:05:01,520 Speaker 1: So let's go on to the show. Let's start with Ukraine. 108 00:05:01,600 --> 00:05:04,800 Speaker 1: Number one. First and foremost, the big news coming out 109 00:05:04,839 --> 00:05:07,840 Speaker 1: of Ukraine is that NATO Head of State UK Prime 110 00:05:07,880 --> 00:05:11,359 Speaker 1: Minister Boris Johnson touching down in the city of Kiev. 111 00:05:11,600 --> 00:05:14,320 Speaker 1: Not only that, meeting with President Zelenski out in the 112 00:05:14,360 --> 00:05:17,360 Speaker 1: open and walking the streets. Let's take a listen. Oh 113 00:05:17,440 --> 00:05:22,560 Speaker 1: are you very, very very glad to see how you need? 114 00:05:22,839 --> 00:05:25,640 Speaker 1: You're looking good. Oh, it's an absolute, absolute pleasure to see. 115 00:05:25,720 --> 00:05:29,200 Speaker 1: I would like to express words of gratitude for this support, 116 00:05:29,560 --> 00:05:35,400 Speaker 1: for your leadership, for assistance and the weapons, and for 117 00:05:35,520 --> 00:05:42,200 Speaker 1: your direct and very clear and specific position of your 118 00:05:42,360 --> 00:05:45,919 Speaker 1: wonderful and powerful country. And thank you for this visit 119 00:05:46,040 --> 00:05:48,960 Speaker 1: at this very difficult time. Over the last few hours, 120 00:05:49,000 --> 00:05:50,640 Speaker 1: I've been able to see quite a lot of your 121 00:05:50,640 --> 00:05:56,559 Speaker 1: beautiful country and it's an amazing country. I've also seen 122 00:05:57,080 --> 00:06:02,200 Speaker 1: the tragic effects of the war, an inexcusable war, an 123 00:06:02,279 --> 00:06:09,080 Speaker 1: absolutely inexcusable and unnecessary war. But having been here in Keev, 124 00:06:09,240 --> 00:06:13,560 Speaker 1: just for a few hours, I have absolutely no doubt, Voladimer, 125 00:06:13,600 --> 00:06:16,960 Speaker 1: listening to you, listening to your team, your redoubtable team, 126 00:06:17,640 --> 00:06:21,720 Speaker 1: I have no doubt at all that an independent, sovereign 127 00:06:22,920 --> 00:06:27,880 Speaker 1: Ukraine will rise again. Wow. That's quite a visit there 128 00:06:28,160 --> 00:06:31,520 Speaker 1: in terms in terms of what happened, it is a 129 00:06:31,520 --> 00:06:33,600 Speaker 1: great word. It's a couple of things going on here. 130 00:06:33,680 --> 00:06:35,880 Speaker 1: Number one, this is not I think as reckless as 131 00:06:35,880 --> 00:06:38,520 Speaker 1: the original NATO head of state visit there from Poland, 132 00:06:38,520 --> 00:06:42,440 Speaker 1: Czechoslovakia and Slovenia, just because Kiev was literally under assault 133 00:06:42,480 --> 00:06:44,760 Speaker 1: of the time. Great. Now you know we've had the 134 00:06:44,880 --> 00:06:48,200 Speaker 1: troop withdrawal from Kiev. There hasn't been as much shelling 135 00:06:48,240 --> 00:06:51,159 Speaker 1: and as much combat within the city, so it's not 136 00:06:51,520 --> 00:06:53,839 Speaker 1: as unsafe. The other thing is that we have to 137 00:06:53,880 --> 00:06:58,039 Speaker 1: consider Boris Johnson in his own domestic political contexts. It 138 00:06:58,120 --> 00:07:00,839 Speaker 1: was not doing so well. This is very much. Johnson 139 00:07:00,920 --> 00:07:03,280 Speaker 1: himself is a student of history. He wrote a biography 140 00:07:03,520 --> 00:07:06,200 Speaker 1: of Churchill. Churchill was actually famous for flying over into 141 00:07:06,200 --> 00:07:09,480 Speaker 1: France during the Battle of France, visiting with the French generals, 142 00:07:09,480 --> 00:07:12,120 Speaker 1: and Churchill also made several trips to the front, so 143 00:07:12,360 --> 00:07:15,040 Speaker 1: he's trying to conjure up that both also for domestic 144 00:07:15,080 --> 00:07:19,120 Speaker 1: political support. Europeans are actually much more I wouldn't say hawkish, 145 00:07:19,240 --> 00:07:21,880 Speaker 1: I guess on the Russia question, given that they're literally, 146 00:07:21,920 --> 00:07:24,400 Speaker 1: you know, a thousand miles or so away, So this 147 00:07:24,520 --> 00:07:27,679 Speaker 1: is another way for him to shore up domestic political support. 148 00:07:27,720 --> 00:07:30,160 Speaker 1: But it's still extraordinary to see, you know, the second 149 00:07:30,200 --> 00:07:33,240 Speaker 1: most powerful state in all of NATO to go and 150 00:07:33,320 --> 00:07:37,120 Speaker 1: sit on the ground in Kiev meant obviously as a 151 00:07:37,160 --> 00:07:40,040 Speaker 1: tool of solidarity, but it also represents that the situation 152 00:07:40,200 --> 00:07:42,320 Speaker 1: there in the city is now safe enough for that 153 00:07:42,400 --> 00:07:45,120 Speaker 1: to happen, and for Zelenski himself in order to walk around. 154 00:07:45,160 --> 00:07:46,680 Speaker 1: They didn't have that big of a guard if you 155 00:07:46,680 --> 00:07:49,480 Speaker 1: saw that. Yeah, no, that's is pretty limited. That is true. 156 00:07:50,000 --> 00:07:53,560 Speaker 1: Is it accurate to say though, that the Europeans in general, 157 00:07:53,600 --> 00:07:55,640 Speaker 1: I'm sure there is a wide variety of sentiment that 158 00:07:55,720 --> 00:07:58,320 Speaker 1: varies country to country, though, are more hawkish, because I 159 00:07:58,320 --> 00:08:00,400 Speaker 1: would say that the French election was at that we're 160 00:08:00,400 --> 00:08:04,960 Speaker 1: seeing kind of suggest otherwise, I mean, you saw McCrone 161 00:08:05,320 --> 00:08:07,720 Speaker 1: really sort of fall off in these past weeks as 162 00:08:07,720 --> 00:08:10,480 Speaker 1: he's been very actively engaged and very pro NATO and 163 00:08:10,640 --> 00:08:14,040 Speaker 1: very pro EU, and you saw, you know, both, of course, 164 00:08:14,080 --> 00:08:16,200 Speaker 1: the right wing cannon at Marine Lapenn and the left 165 00:08:16,200 --> 00:08:17,920 Speaker 1: wing cannon at both of whom were sort of like 166 00:08:18,000 --> 00:08:21,480 Speaker 1: native skeptical on the rise. So sure, I'm just saying, 167 00:08:21,480 --> 00:08:23,840 Speaker 1: I'm not sure it's as simple as that with regards 168 00:08:23,880 --> 00:08:25,800 Speaker 1: to Boris Johnson. You're so right to point out the 169 00:08:25,800 --> 00:08:29,559 Speaker 1: domestic political context. I looked up the last UGOV poll 170 00:08:29,960 --> 00:08:33,040 Speaker 1: that was about a month ago ago, had sixty three 171 00:08:33,120 --> 00:08:35,880 Speaker 1: percent of UK voters saying that Johnson is doing a 172 00:08:35,960 --> 00:08:38,920 Speaker 1: bad job. Only thirty percent say that he is doing 173 00:08:38,960 --> 00:08:41,280 Speaker 1: a good job. If you all haven't followed it closely, 174 00:08:41,360 --> 00:08:46,160 Speaker 1: he is besieged by scandal because while London and the 175 00:08:46,240 --> 00:08:50,520 Speaker 1: UK were under lockdown, they were hosting like nearly weekly 176 00:08:51,040 --> 00:08:55,679 Speaker 1: parties just completely flouting in the rules and laughing about it. 177 00:08:56,040 --> 00:08:59,880 Speaker 1: So he's trying to distract from that. And I got 178 00:08:59,880 --> 00:09:02,240 Speaker 1: a I'm just kind of skeptical in general at this 179 00:09:02,360 --> 00:09:06,600 Speaker 1: point of these like token symbolic gestures. So much of 180 00:09:06,640 --> 00:09:12,400 Speaker 1: the world stage here and abroad is consumed by theater 181 00:09:12,800 --> 00:09:16,400 Speaker 1: rather than actual substance and policy. So you know, it 182 00:09:16,440 --> 00:09:19,280 Speaker 1: seems to me like it's an attempt at self aggrandizement. 183 00:09:19,679 --> 00:09:23,080 Speaker 1: Isn't as foolish and irresponsible as the initial visits, No, 184 00:09:23,120 --> 00:09:24,680 Speaker 1: I don't think so. I mean, at this point, like 185 00:09:24,720 --> 00:09:26,800 Speaker 1: you said, Keiev is not under siege. Russian troops had 186 00:09:26,840 --> 00:09:30,240 Speaker 1: withdrawn to the eastern part of the country. But did 187 00:09:30,240 --> 00:09:33,360 Speaker 1: it really accomplish anything other than him getting to sort 188 00:09:33,360 --> 00:09:35,760 Speaker 1: of posture for the cameras. No, not really. Yeah. So 189 00:09:35,840 --> 00:09:37,720 Speaker 1: at the same time, in terms of the Russians, they've 190 00:09:37,720 --> 00:09:39,800 Speaker 1: tapped a new war commander. Let's put us up there 191 00:09:39,840 --> 00:09:43,040 Speaker 1: on the screen. President Putin tapping the new commander to 192 00:09:43,080 --> 00:09:45,719 Speaker 1: take the new control of the next phase of the 193 00:09:45,760 --> 00:09:49,679 Speaker 1: battle after the initial failure. So this new person is 194 00:09:49,800 --> 00:09:53,400 Speaker 1: General Alexander de Vorkanov. He's one of Russia's most experienced 195 00:09:53,400 --> 00:09:57,040 Speaker 1: military officers. This is according to the Pentagon, So you know, 196 00:09:57,200 --> 00:09:59,200 Speaker 1: always take that with a grain of salt. They say 197 00:09:59,240 --> 00:10:01,319 Speaker 1: he is a general with the record of brutality against 198 00:10:01,360 --> 00:10:04,480 Speaker 1: civilians in Syria and other war theaters. Up to now, 199 00:10:04,720 --> 00:10:07,800 Speaker 1: Russia actually did not have a central war commander on 200 00:10:07,840 --> 00:10:10,200 Speaker 1: the ground. Maybe that's why things didn't go so well. 201 00:10:10,240 --> 00:10:13,080 Speaker 1: So this is somebody with experience in Syria, somebody who 202 00:10:13,120 --> 00:10:16,800 Speaker 1: obviously is trusted by Putin. In twenty sixteen, he was 203 00:10:16,840 --> 00:10:19,360 Speaker 1: actually given the Hero of Russia medal, which is one 204 00:10:19,360 --> 00:10:22,040 Speaker 1: of the highest awards in the country. An he's somebody 205 00:10:22,160 --> 00:10:25,600 Speaker 1: who is clearly trusted by the Putin regime. Now in 206 00:10:25,679 --> 00:10:29,200 Speaker 1: terms of what's happening, also in terms of the political situation. 207 00:10:29,480 --> 00:10:33,080 Speaker 1: Part of the reason why this visit happened and then 208 00:10:33,120 --> 00:10:35,760 Speaker 1: there has been an increased push by the NATO heads 209 00:10:35,800 --> 00:10:39,120 Speaker 1: of state is because both of what happened in Bucha, 210 00:10:39,160 --> 00:10:41,120 Speaker 1: but also let's put this up there that's got quite 211 00:10:41,160 --> 00:10:44,079 Speaker 1: a bit of attention over the weekend, which is that 212 00:10:44,400 --> 00:10:47,560 Speaker 1: dozens of people were killed and about one hundred injured 213 00:10:47,640 --> 00:10:50,839 Speaker 1: on Friday. It was in a Russian rocket attack on 214 00:10:50,960 --> 00:10:54,040 Speaker 1: a train station. Now, the reason why this matters is 215 00:10:54,080 --> 00:10:56,520 Speaker 1: his train station were in the eastern most stations that 216 00:10:56,640 --> 00:11:01,120 Speaker 1: was still operating in Ukraine, and because the Russian offensive 217 00:11:01,160 --> 00:11:04,560 Speaker 1: has really concentrated entirely within the east of the country 218 00:11:04,559 --> 00:11:07,440 Speaker 1: at this point, a lot of the civilians there were 219 00:11:07,440 --> 00:11:10,520 Speaker 1: trying their best in order to flee. Now, according to 220 00:11:10,640 --> 00:11:13,560 Speaker 1: some of the people who are independent observers, at least 221 00:11:13,559 --> 00:11:15,400 Speaker 1: from we've seen. There were a lot of civilians who 222 00:11:15,400 --> 00:11:18,400 Speaker 1: were killed in this, and obviously, you know, outrage the world. 223 00:11:18,480 --> 00:11:22,640 Speaker 1: This has also spawned Crystal a new refugee flood from 224 00:11:22,640 --> 00:11:25,600 Speaker 1: the country. Yeah, from the east towards the west, and 225 00:11:25,720 --> 00:11:27,480 Speaker 1: even more so so. I mean at this point we're 226 00:11:27,480 --> 00:11:29,880 Speaker 1: talking about millions and millions of people. Almost ten percent 227 00:11:29,920 --> 00:11:32,600 Speaker 1: of the Ukrainian population has been deplayed, maybe even more, 228 00:11:33,360 --> 00:11:35,760 Speaker 1: and in the east of the country as well. This 229 00:11:35,920 --> 00:11:38,720 Speaker 1: rocket attack was really seen by a lot of people 230 00:11:38,800 --> 00:11:42,400 Speaker 1: as an extraordinary event, given that the Russians are already fighting, 231 00:11:42,440 --> 00:11:44,319 Speaker 1: you know, in terms of hearts and minds for the 232 00:11:44,320 --> 00:11:46,920 Speaker 1: civilians within the eastern part of the country, which is 233 00:11:46,960 --> 00:11:48,800 Speaker 1: most likely, you know, in the long run to be 234 00:11:48,840 --> 00:11:52,360 Speaker 1: annexed by them. But it was a significant event nonetheless. Yeah, 235 00:11:52,360 --> 00:11:53,599 Speaker 1: and I think what we can see and let's go 236 00:11:53,600 --> 00:11:55,240 Speaker 1: ahead and put this last piece of the map up 237 00:11:55,280 --> 00:11:57,360 Speaker 1: on the screen. I mean, all of these developments just 238 00:11:57,400 --> 00:12:00,840 Speaker 1: basically indicate that we're entering a new phase of this war. 239 00:12:01,640 --> 00:12:06,280 Speaker 1: The Russians have refocused their troops in eastern Ukraine. Here's 240 00:12:06,320 --> 00:12:09,200 Speaker 1: what Simtak says. They say Despite intense fighting, Ukrainian defenders 241 00:12:09,200 --> 00:12:12,520 Speaker 1: have managed to hold back Russian offensives in eastern Ukraine. 242 00:12:12,559 --> 00:12:16,080 Speaker 1: Over the past days. Near Karsan, Ukrainian forces continue to 243 00:12:16,080 --> 00:12:18,800 Speaker 1: push the fight closer to the city. So you have, 244 00:12:19,800 --> 00:12:22,800 Speaker 1: you know, a renewed refugee crisis, people trying to flee 245 00:12:22,840 --> 00:12:25,520 Speaker 1: the eastern part of the country. Russia sort of shuffling 246 00:12:25,559 --> 00:12:29,000 Speaker 1: the deck in terms of their military leadership and their strategy, 247 00:12:29,280 --> 00:12:32,280 Speaker 1: trying to refocus both on that eastern section, and also 248 00:12:32,600 --> 00:12:35,200 Speaker 1: they keep talking about this land bridge to Crimea to 249 00:12:35,240 --> 00:12:38,559 Speaker 1: secure the regions that they already had a foothold in, 250 00:12:39,520 --> 00:12:45,160 Speaker 1: and you know, civilian brutality towards civilians and continued atrocities 251 00:12:45,200 --> 00:12:47,880 Speaker 1: that is going to make life just horrific for people 252 00:12:47,880 --> 00:12:50,199 Speaker 1: who live in these regions. Yeah, I think that's really 253 00:12:50,280 --> 00:12:52,360 Speaker 1: just the broader summary of where it is. We're in 254 00:12:52,360 --> 00:12:55,880 Speaker 1: a new phase of the campaign, concentrated in the east. 255 00:12:56,160 --> 00:12:58,719 Speaker 1: But just because that has happening does not also mean 256 00:12:58,760 --> 00:13:00,360 Speaker 1: that it won't be brutal, that they're a lot of 257 00:13:00,360 --> 00:13:03,199 Speaker 1: civilians that die. And on top of that, the diplomatic 258 00:13:03,240 --> 00:13:05,959 Speaker 1: solution or the diplomatic situation is such that now a 259 00:13:06,040 --> 00:13:08,680 Speaker 1: NATO head of State can visit Kiev, but in terms 260 00:13:08,679 --> 00:13:11,800 Speaker 1: of peace talks, we still don't see anything. That's really 261 00:13:11,920 --> 00:13:15,440 Speaker 1: unfortunately the update for you. Really, all I just see 262 00:13:15,440 --> 00:13:17,400 Speaker 1: is a lot of civilians who are suffering, both the 263 00:13:17,400 --> 00:13:19,760 Speaker 1: ones who are killed, but now it's the millions who 264 00:13:19,800 --> 00:13:24,280 Speaker 1: are fleeing and were terrified of living under the country. Yeah, 265 00:13:24,440 --> 00:13:26,800 Speaker 1: it's really just an awful situation. Okay, let's go ahead 266 00:13:26,800 --> 00:13:28,880 Speaker 1: and move on to the next part of Ukraine. Let's 267 00:13:28,880 --> 00:13:30,640 Speaker 1: put this up there on the screen. This is in 268 00:13:30,720 --> 00:13:34,120 Speaker 1: terms of the US response. So YouTube is coming under 269 00:13:34,160 --> 00:13:37,760 Speaker 1: fire here for blocking the Russian Parliament channel. Now, the 270 00:13:37,800 --> 00:13:41,000 Speaker 1: reason that this matters is that they have blocked Duma 271 00:13:41,200 --> 00:13:44,680 Speaker 1: TV kind of like a c span if you will, 272 00:13:45,080 --> 00:13:48,560 Speaker 1: for how we would think about it. But Duma TV 273 00:13:49,080 --> 00:13:53,120 Speaker 1: is drawing pretty angry response because they said that the 274 00:13:53,160 --> 00:13:57,800 Speaker 1: restrictions on that are an interference obviously by Google and 275 00:13:57,880 --> 00:14:02,040 Speaker 1: by a broader US company into internal Russian affairs. And 276 00:14:02,040 --> 00:14:04,200 Speaker 1: now the reason I think that this matters, Crystal is 277 00:14:04,240 --> 00:14:07,920 Speaker 1: because they are basically setting the stage for casting it 278 00:14:08,000 --> 00:14:11,439 Speaker 1: as a US company which is taking action against the 279 00:14:11,480 --> 00:14:13,360 Speaker 1: Russian government could give him a pretext for like a 280 00:14:13,400 --> 00:14:16,440 Speaker 1: total ban. It puts them in an interesting situation, but 281 00:14:16,800 --> 00:14:19,440 Speaker 1: it also just always invites the question of what is 282 00:14:19,520 --> 00:14:23,600 Speaker 1: the true use of this policy. For example, if there 283 00:14:23,840 --> 00:14:27,040 Speaker 1: was a video of a Russian member of the Duma. 284 00:14:27,200 --> 00:14:29,080 Speaker 1: He's since died, I'm not going to tie and pronounce 285 00:14:29,080 --> 00:14:31,360 Speaker 1: his name, died from COVID. But a couple of months 286 00:14:31,400 --> 00:14:34,640 Speaker 1: ago he was on the floor telling us the entire 287 00:14:35,720 --> 00:14:38,920 Speaker 1: plan for invading Ukraine. This was like November something like that, 288 00:14:39,120 --> 00:14:41,200 Speaker 1: and he's like, we're going to invade Kiev, We're going 289 00:14:41,280 --> 00:14:42,880 Speaker 1: to take over the city, no matter. He was an 290 00:14:42,920 --> 00:14:46,400 Speaker 1: ulternationalist politician. He laid everything out for us. And it 291 00:14:46,440 --> 00:14:49,440 Speaker 1: was only after the invasion that everybody went back and 292 00:14:49,440 --> 00:14:50,840 Speaker 1: found that video and they're like, oh my gosh, this 293 00:14:50,880 --> 00:14:53,640 Speaker 1: guy was just telling us exactly what it is. I 294 00:14:53,720 --> 00:14:57,000 Speaker 1: it just in general, what I mean, if anybody was 295 00:14:57,040 --> 00:14:59,920 Speaker 1: watching the Duma TV, were they really going to be 296 00:15:00,080 --> 00:15:03,840 Speaker 1: propagandized or was it more for news and research purposes 297 00:15:04,160 --> 00:15:06,720 Speaker 1: like ours? Like, how are we supposed to people are 298 00:15:06,760 --> 00:15:09,360 Speaker 1: being radicalized that if they're watching do motiv How many 299 00:15:09,920 --> 00:15:12,760 Speaker 1: It's like Seaspan is an apt example. How many people 300 00:15:12,800 --> 00:15:15,440 Speaker 1: actually watch and watched it? Yeah? How many watchers? How 301 00:15:15,440 --> 00:15:18,160 Speaker 1: many people are watching Sea Span. In general, it's better 302 00:15:18,200 --> 00:15:20,960 Speaker 1: to have this type of archival footage so that you 303 00:15:20,960 --> 00:15:24,320 Speaker 1: can go back and use it for research or if 304 00:15:24,360 --> 00:15:26,960 Speaker 1: they're saying crazy stuff, if they're like, hey, we should 305 00:15:27,040 --> 00:15:29,760 Speaker 1: new k America. I personally would like to know that 306 00:15:30,080 --> 00:15:32,040 Speaker 1: and have video of it so I can watch it 307 00:15:32,200 --> 00:15:35,160 Speaker 1: for myself and not have to worry about some Russian 308 00:15:35,280 --> 00:15:38,680 Speaker 1: TV channel, you know, taking it, splicing it up, cutting 309 00:15:38,720 --> 00:15:40,680 Speaker 1: it up, and then waiting for somebody in order to 310 00:15:40,680 --> 00:15:42,680 Speaker 1: put it out there. The raw video is always the best. 311 00:15:43,280 --> 00:15:46,080 Speaker 1: I mean, there is no way to justify this policy. 312 00:15:46,120 --> 00:15:48,880 Speaker 1: It is pure insanity, and it also really gives a 313 00:15:48,920 --> 00:15:51,000 Speaker 1: lot of credence to the idea that these tech companies 314 00:15:51,040 --> 00:15:54,160 Speaker 1: basically follow whatever US foreign policy is. Well, they blame 315 00:15:54,240 --> 00:15:56,760 Speaker 1: the government. They're like, hey, we're just acting in compliance 316 00:15:56,760 --> 00:15:59,960 Speaker 1: with saying it, and I'm like, maybe, I mean it's possible, 317 00:16:00,440 --> 00:16:02,800 Speaker 1: right right, you know. I mean if you think about 318 00:16:02,840 --> 00:16:06,000 Speaker 1: like all of the baddy countries around the world, I mean, 319 00:16:06,120 --> 00:16:09,080 Speaker 1: plenty of countries that are out there committing also horrific 320 00:16:09,200 --> 00:16:13,120 Speaker 1: atrocities in human rights abuses, and yet they just follow 321 00:16:13,160 --> 00:16:15,920 Speaker 1: along with whatever the sort of like Washington foreign policy 322 00:16:16,000 --> 00:16:19,840 Speaker 1: establishment ultimately wants them to do it's effectively. I mean, 323 00:16:19,880 --> 00:16:22,400 Speaker 1: this is another sort of like trying to get on 324 00:16:22,480 --> 00:16:25,160 Speaker 1: the right side of polite society, virtue signal kind of 325 00:16:25,160 --> 00:16:28,280 Speaker 1: a thing. I can't imagine that anyone really thinks that 326 00:16:28,360 --> 00:16:32,480 Speaker 1: having Duma TV on YouTube was some like grand threat 327 00:16:32,520 --> 00:16:35,800 Speaker 1: to the world order or you know, or really like 328 00:16:36,080 --> 00:16:40,480 Speaker 1: directly harming Ukrainians, even because as you said, probably the 329 00:16:40,520 --> 00:16:43,920 Speaker 1: only people who were really consuming this were people who 330 00:16:43,920 --> 00:16:46,240 Speaker 1: were using it to understand, like, what are the debates 331 00:16:46,280 --> 00:16:48,680 Speaker 1: that are going on in this legislative body, to try 332 00:16:48,720 --> 00:16:51,000 Speaker 1: to translate it to the world. It's very important to 333 00:16:51,080 --> 00:16:53,480 Speaker 1: understand what your enemies are thinking and what they're saying 334 00:16:53,480 --> 00:16:55,920 Speaker 1: in their own terms. So this is not in the 335 00:16:55,960 --> 00:17:00,360 Speaker 1: service of any literally anyone, and it just seems it 336 00:17:00,400 --> 00:17:02,520 Speaker 1: just seems really silly. It also reminds me, you know, 337 00:17:02,560 --> 00:17:04,800 Speaker 1: of the moves to like take Trump off of Twitter 338 00:17:04,840 --> 00:17:08,000 Speaker 1: and all those things that didn't end up diminishing his power. 339 00:17:08,280 --> 00:17:10,440 Speaker 1: If anything. It really I mean, you've made this point 340 00:17:10,440 --> 00:17:13,399 Speaker 1: a number of times. It probably helped him because people 341 00:17:13,560 --> 00:17:16,159 Speaker 1: forgot about how freaking crazy this guy was on a 342 00:17:16,240 --> 00:17:19,240 Speaker 1: day to day basis and how obnoxious and his worst 343 00:17:19,320 --> 00:17:21,639 Speaker 1: he now he has to like put out his statements, 344 00:17:21,640 --> 00:17:23,080 Speaker 1: so at least there has to be a little bit 345 00:17:23,119 --> 00:17:25,280 Speaker 1: of thought that goes into it as he's drafting it 346 00:17:25,320 --> 00:17:28,240 Speaker 1: and going through the iterations. With Twitter, you had this 347 00:17:28,400 --> 00:17:31,520 Speaker 1: direct access to the worst parts of his brain, and 348 00:17:31,600 --> 00:17:34,879 Speaker 1: so taking him off of that, Yeah, again, that really 349 00:17:34,920 --> 00:17:39,240 Speaker 1: didn't ultimately help anyone. It's important to know what even 350 00:17:39,440 --> 00:17:43,680 Speaker 1: the worst, most nefarious world leaders and governing bodies are 351 00:17:43,720 --> 00:17:47,760 Speaker 1: doing and thinking. So I just think this is completely unjustifiable. 352 00:17:47,880 --> 00:17:50,119 Speaker 1: Same thing is now happening to us. I got an 353 00:17:50,200 --> 00:17:53,080 Speaker 1: update from our podcast host. Let's put this up there 354 00:17:53,119 --> 00:17:55,200 Speaker 1: on the screen. I'll read you this email, says higher. 355 00:17:55,280 --> 00:17:57,720 Speaker 1: Spotify has continued to believe it's critically important to try 356 00:17:57,760 --> 00:18:00,639 Speaker 1: and keep our service operational in Russia to provide trusted, 357 00:18:00,640 --> 00:18:04,320 Speaker 1: independent news and information in the region. Unfortunately, recently enacted 358 00:18:04,400 --> 00:18:08,240 Speaker 1: legislation further restricting access to information, eliminating free expression, and 359 00:18:08,240 --> 00:18:11,400 Speaker 1: criminalizing certain types of news puts the safety of Spotify 360 00:18:11,440 --> 00:18:14,800 Speaker 1: employees and possibly even our listeners at risk. After carefully 361 00:18:14,800 --> 00:18:17,360 Speaker 1: considering our options in the current circumstances, we have come 362 00:18:17,400 --> 00:18:21,639 Speaker 1: to the difficult decision to fully suspend our service in Russia. 363 00:18:21,800 --> 00:18:24,439 Speaker 1: As a result, we'd be suspending delivery of podcasts and 364 00:18:24,480 --> 00:18:28,200 Speaker 1: podcasts ad content in Russia. Starting on April eleventh, Megaphone 365 00:18:28,200 --> 00:18:31,600 Speaker 1: will no longer deliver podcast downloads to IP addresses that 366 00:18:31,640 --> 00:18:34,359 Speaker 1: have identified as being within Russia. The impact for you 367 00:18:34,440 --> 00:18:37,080 Speaker 1: should be minimal. There are currently very few downloads being 368 00:18:37,119 --> 00:18:39,919 Speaker 1: attributed to the addresses. This is, by the way, a 369 00:18:39,920 --> 00:18:42,680 Speaker 1: little peak behind the curtain, just so people know that 370 00:18:42,880 --> 00:18:44,919 Speaker 1: we're not some Russian plant getting a bunch of Russian 371 00:18:44,920 --> 00:18:48,359 Speaker 1: downloads here. It is from our podcast service itself saying 372 00:18:48,400 --> 00:18:52,520 Speaker 1: that's not true. However, this is a problem because and Spotify. 373 00:18:52,640 --> 00:18:54,920 Speaker 1: To be clear, they said they tried to do their best. 374 00:18:54,960 --> 00:18:56,600 Speaker 1: I don't know what the actual truth is. It does 375 00:18:56,640 --> 00:18:58,440 Speaker 1: seem to mean that this is probably as a result 376 00:18:58,480 --> 00:19:02,120 Speaker 1: of both the Russian fake newslaw and our own sanctions 377 00:19:02,119 --> 00:19:05,360 Speaker 1: that make it incredibly difficult. But here's a good example. 378 00:19:05,600 --> 00:19:09,199 Speaker 1: We had Igor Kotkanan, a disonant to the Putin regime. 379 00:19:09,760 --> 00:19:14,200 Speaker 1: Would that not be better off being broadcast in Russia? Yeah, 380 00:19:14,200 --> 00:19:17,560 Speaker 1: I mean it would be absolutely And so now both 381 00:19:17,600 --> 00:19:20,440 Speaker 1: their government, our government and all this are making it 382 00:19:20,520 --> 00:19:23,639 Speaker 1: more difficult in order for people to get a view 383 00:19:23,800 --> 00:19:26,199 Speaker 1: of the situation. I also think maybe it would be 384 00:19:26,200 --> 00:19:29,680 Speaker 1: important because there's a lot of bloodthirsty Neil cons in 385 00:19:29,720 --> 00:19:32,080 Speaker 1: our media. I think our show would be a useful 386 00:19:32,080 --> 00:19:35,159 Speaker 1: corollary to the Russian population to say, hey, there's some 387 00:19:35,200 --> 00:19:38,040 Speaker 1: people in America who condemn Putin, who are not out 388 00:19:38,080 --> 00:19:41,120 Speaker 1: to get you, and who have an audience, and who 389 00:19:41,160 --> 00:19:44,640 Speaker 1: are saying consistently, you know, Putin is the person who 390 00:19:44,680 --> 00:19:48,840 Speaker 1: to blame in this situation. You are not. We're reasonable folks. 391 00:19:48,960 --> 00:19:50,960 Speaker 1: We don't hate you, we don't want a nuke you, 392 00:19:51,240 --> 00:19:53,400 Speaker 1: we don't want to bomb you. I mean I personally 393 00:19:53,640 --> 00:19:55,840 Speaker 1: we're trying to destroy you. We're not trying to destroy you. 394 00:19:55,880 --> 00:19:58,840 Speaker 1: We want to live in peace. And you know, it's 395 00:19:58,840 --> 00:20:01,119 Speaker 1: not always going to be fun. It will be some disagreement, 396 00:20:01,200 --> 00:20:02,760 Speaker 1: but at the end of the day, this isn't some 397 00:20:02,840 --> 00:20:06,320 Speaker 1: existential civilizational battle the way that Putin and then paint it, 398 00:20:06,359 --> 00:20:09,480 Speaker 1: which is definitely the actual point of view that you'll 399 00:20:09,520 --> 00:20:12,240 Speaker 1: see on the Sunday shows or like that in America. 400 00:20:12,280 --> 00:20:14,879 Speaker 1: So overall, I'm saddened by the situation, even though apparently 401 00:20:14,920 --> 00:20:18,280 Speaker 1: we didn't get many downloads in Russia. Just in general, 402 00:20:18,400 --> 00:20:22,399 Speaker 1: it's better to have the exchange of information, of points 403 00:20:22,400 --> 00:20:25,040 Speaker 1: of view. This was the original point and promise of 404 00:20:25,040 --> 00:20:26,840 Speaker 1: the Internet in the nineteen nineties, so that it would 405 00:20:26,840 --> 00:20:30,960 Speaker 1: flatten culture and make it to foster better understanding. Obviously 406 00:20:31,320 --> 00:20:34,000 Speaker 1: didn't work out that way. Yeah, indeed, no, it does feel. 407 00:20:34,080 --> 00:20:35,960 Speaker 1: It does feel kind of sad. It's now it's going 408 00:20:36,000 --> 00:20:39,399 Speaker 1: to be harder for yegor to yes, literally going to 409 00:20:39,400 --> 00:20:42,120 Speaker 1: be able to figure it out. Yeah, all right, all right, 410 00:20:42,160 --> 00:20:44,919 Speaker 1: this other piece is something we've been tracking closely and 411 00:20:45,080 --> 00:20:48,800 Speaker 1: is extremely scary and disturbing and has vast consequences. So 412 00:20:48,880 --> 00:20:50,439 Speaker 1: let's go ahead and put this next one up on 413 00:20:50,480 --> 00:20:54,760 Speaker 1: the screen. So global food prices hit their highest recorded 414 00:20:54,960 --> 00:20:58,679 Speaker 1: levels ever last month. Of course, this is driven up 415 00:20:59,440 --> 00:21:02,560 Speaker 1: significificately by the war. Let me just read you a 416 00:21:02,560 --> 00:21:04,399 Speaker 1: little bit of this article. They say. The Food and 417 00:21:04,440 --> 00:21:08,920 Speaker 1: Agriculture Organization announced on Friday that it's Food Price Index, 418 00:21:08,960 --> 00:21:11,399 Speaker 1: which tracks monthly changes in the international prices of a 419 00:21:11,440 --> 00:21:14,560 Speaker 1: basket of commonly traded food commodities, averaged one hundred and 420 00:21:14,600 --> 00:21:17,240 Speaker 1: fifty nine point three points in March. That's up twelve 421 00:21:17,320 --> 00:21:20,280 Speaker 1: point six percent just from February. So jumped up when 422 00:21:20,480 --> 00:21:25,200 Speaker 1: thirteen percent in just one month February had already seen 423 00:21:25,480 --> 00:21:29,159 Speaker 1: the highest level since the organization began tracking in nineteen ninety. 424 00:21:29,200 --> 00:21:32,880 Speaker 1: And get this, it's more than a third higher than 425 00:21:32,920 --> 00:21:36,760 Speaker 1: it was just a year ago. So this basket of 426 00:21:37,080 --> 00:21:40,520 Speaker 1: sort of common food commodities, I'm sure things like wheat, 427 00:21:40,840 --> 00:21:45,359 Speaker 1: for example, has spiked by a third. Prices have gone 428 00:21:45,400 --> 00:21:49,640 Speaker 1: up in just one year. Fao went on to say 429 00:21:49,680 --> 00:21:52,800 Speaker 1: that the war spread shocks through markets for staple grains 430 00:21:52,840 --> 00:21:55,040 Speaker 1: and vegetable oils. Of course, guys, this is something we've 431 00:21:55,080 --> 00:21:58,359 Speaker 1: been tracking here. Russia and Ukraine collectively account for about 432 00:21:58,400 --> 00:22:01,240 Speaker 1: thirty percent of global wheat at sports and twenty percent 433 00:22:01,520 --> 00:22:05,040 Speaker 1: of exports over the last three years. And then you 434 00:22:05,119 --> 00:22:07,000 Speaker 1: add on top of that, as if that wasn't all 435 00:22:07,160 --> 00:22:10,600 Speaker 1: bad enough, we've had some impacts both here and around 436 00:22:10,680 --> 00:22:13,320 Speaker 1: the world in terms of climate change that has also 437 00:22:14,119 --> 00:22:16,520 Speaker 1: made the harvest less than what it should be. China 438 00:22:16,600 --> 00:22:19,120 Speaker 1: said this was like their worst harvest on record, which 439 00:22:19,160 --> 00:22:22,280 Speaker 1: also puts stress on the food system. You know, countries 440 00:22:22,320 --> 00:22:26,440 Speaker 1: in that region really depend on Ukraine in particular, and 441 00:22:26,560 --> 00:22:30,439 Speaker 1: on Russia, both for wheat and for maize and some 442 00:22:30,560 --> 00:22:34,000 Speaker 1: other and sunflower oil and some other critical sort of staples. 443 00:22:34,040 --> 00:22:36,600 Speaker 1: There and also for some of the components that go 444 00:22:36,680 --> 00:22:40,520 Speaker 1: into fertilizer, which means that you're not just talking about 445 00:22:40,560 --> 00:22:43,400 Speaker 1: a now problem in terms of food prices and poor 446 00:22:43,440 --> 00:22:46,199 Speaker 1: countries in particular being unable to you know, people being 447 00:22:46,280 --> 00:22:49,040 Speaker 1: unable to afford to feed themselves in their children. You're 448 00:22:49,080 --> 00:22:53,200 Speaker 1: also talking about significant lagging effects where the next harvest 449 00:22:53,240 --> 00:22:55,840 Speaker 1: is also going to be impacted because farmers can't get 450 00:22:55,840 --> 00:22:59,120 Speaker 1: the fertilizer that they need in order to grow crops. 451 00:22:59,400 --> 00:23:01,919 Speaker 1: I don't have to tell you that, you know, you 452 00:23:01,920 --> 00:23:04,840 Speaker 1: would be hard pressed to find a better indicator of 453 00:23:05,000 --> 00:23:07,399 Speaker 1: when and where and how revolutions start than the price 454 00:23:07,480 --> 00:23:09,800 Speaker 1: of wheat in the price of bread. This is a 455 00:23:10,000 --> 00:23:15,320 Speaker 1: like multi thousands of years historical trend, and of course 456 00:23:15,400 --> 00:23:18,360 Speaker 1: it's just going to cause mass suffering. I do want 457 00:23:18,400 --> 00:23:21,880 Speaker 1: to be clear, there is enough wheat, There is enough 458 00:23:22,160 --> 00:23:25,479 Speaker 1: food to feed the world, but the price is the issue. 459 00:23:25,560 --> 00:23:28,119 Speaker 1: It's going to be out of reach for millions and 460 00:23:28,119 --> 00:23:30,359 Speaker 1: millions and millions of people. Yeah, I think that the 461 00:23:30,400 --> 00:23:33,520 Speaker 1: real problem here is that if you look throughout history, 462 00:23:33,560 --> 00:23:35,000 Speaker 1: and this is actually what I was thinking. Part of 463 00:23:35,000 --> 00:23:37,320 Speaker 1: the reason that the Czars and the Russians and the 464 00:23:37,320 --> 00:23:39,919 Speaker 1: Soviet Union were always so obsessed with controlling Ukraine is 465 00:23:39,960 --> 00:23:41,879 Speaker 1: it was known as the bread basket of Europe. It's 466 00:23:41,880 --> 00:23:44,600 Speaker 1: the largest country in all of continental Europe. They are 467 00:23:44,680 --> 00:23:47,280 Speaker 1: very fertile soil and they have for years produced an 468 00:23:47,280 --> 00:23:50,200 Speaker 1: immense amount of the world's wheat. Now, since they've become 469 00:23:50,240 --> 00:23:52,720 Speaker 1: an independent country, they export a ton of wheat to 470 00:23:52,760 --> 00:23:54,480 Speaker 1: the rest of the world. As you're a pointing to 471 00:23:54,640 --> 00:23:57,840 Speaker 1: with India. One of the reasons that this has always 472 00:23:57,880 --> 00:24:00,439 Speaker 1: been so concerning, and almost immediately they were appoint on 473 00:24:00,480 --> 00:24:03,320 Speaker 1: the show was yeah, food inflation here is bad. It's 474 00:24:03,480 --> 00:24:07,399 Speaker 1: way worse in developing countries Africa and in India and 475 00:24:07,520 --> 00:24:11,040 Speaker 1: elsewhere where. They are number one already more food insecure, 476 00:24:11,119 --> 00:24:14,960 Speaker 1: to use a politically correct term, but also much more 477 00:24:15,000 --> 00:24:21,080 Speaker 1: dependent on imports and have much more fluctuating commodity food markets. 478 00:24:21,359 --> 00:24:24,919 Speaker 1: So there's a lot of different disruptions that can happen 479 00:24:25,640 --> 00:24:29,120 Speaker 1: within the food markets that make life there very difficult. 480 00:24:29,119 --> 00:24:31,359 Speaker 1: Now we're going to get to this in Shanghai, but 481 00:24:31,560 --> 00:24:34,239 Speaker 1: people should consider that not everybody lives the way that 482 00:24:34,280 --> 00:24:37,199 Speaker 1: you and I live, or that Americans live. A lot 483 00:24:37,280 --> 00:24:39,440 Speaker 1: of people here eat frozen food. Now, I don't think 484 00:24:39,440 --> 00:24:41,240 Speaker 1: frozen food is good for you, but in terms of 485 00:24:41,280 --> 00:24:44,119 Speaker 1: storage and all of that, it's very convenient. Part of 486 00:24:44,160 --> 00:24:45,760 Speaker 1: the reason why, and we'll talk about this more in 487 00:24:45,800 --> 00:24:49,600 Speaker 1: Shanghai that Shanghai is such a complete disaster is because 488 00:24:49,640 --> 00:24:52,080 Speaker 1: Chinese mostly eat fresh food, so they need food from 489 00:24:52,080 --> 00:24:54,840 Speaker 1: the markets every two or three days. That's a massive 490 00:24:54,880 --> 00:24:58,320 Speaker 1: logistical challenge for the government. Same in terms of the 491 00:25:00,119 --> 00:25:03,360 Speaker 1: flour and other things. This is more of an Indian problem. 492 00:25:03,400 --> 00:25:06,359 Speaker 1: But people there don't think of grocery store shopping in 493 00:25:06,400 --> 00:25:07,919 Speaker 1: the way that a lot of people here in the 494 00:25:07,920 --> 00:25:10,840 Speaker 1: West too. You're not going to costco a once a 495 00:25:10,880 --> 00:25:14,320 Speaker 1: week for three months of frozen pizzas or whatever, And 496 00:25:14,400 --> 00:25:18,439 Speaker 1: so food inflation hits harder on the wallet. And also 497 00:25:18,880 --> 00:25:22,320 Speaker 1: the supply chain disruption has a much more immediate effect 498 00:25:22,359 --> 00:25:25,239 Speaker 1: on the food systems in third world countries than it 499 00:25:25,280 --> 00:25:27,720 Speaker 1: does in the first round, specifically the West in the 500 00:25:27,800 --> 00:25:30,719 Speaker 1: United States, just because of the difference in our food pattern. 501 00:25:30,840 --> 00:25:33,040 Speaker 1: So this is a really this is a disaster. It 502 00:25:33,080 --> 00:25:35,280 Speaker 1: really is. And as you said, I mean, what's the 503 00:25:35,359 --> 00:25:39,200 Speaker 1: number one con constant throughout you know, all of civilization. 504 00:25:39,640 --> 00:25:42,360 Speaker 1: No food, No bread. There's a problem. You can look 505 00:25:42,400 --> 00:25:46,920 Speaker 1: at the Mayans. You can look at the Sumerians like trevolution. 506 00:25:47,119 --> 00:25:48,520 Speaker 1: It's like, you know, I don't even have to go 507 00:25:48,600 --> 00:25:52,200 Speaker 1: that far back a couple hundred years, within the last 508 00:25:52,200 --> 00:25:55,680 Speaker 1: two decades. These are big, big problems that have long 509 00:25:55,720 --> 00:25:58,560 Speaker 1: standing fortieth fiftieth order effects. Yeah, and of course you 510 00:25:58,600 --> 00:26:03,000 Speaker 1: already have some countries where hope there was already mass famine, 511 00:26:03,080 --> 00:26:06,480 Speaker 1: I mean Afghanistan thanks to our government's policies, Yemen also 512 00:26:06,520 --> 00:26:11,200 Speaker 1: partly thanks to our government policies. So already before this 513 00:26:11,359 --> 00:26:15,200 Speaker 1: war you had a dire situation with regards to wheat 514 00:26:15,240 --> 00:26:20,120 Speaker 1: and overall food prices, with the UN agency responsible for 515 00:26:20,400 --> 00:26:23,440 Speaker 1: sort of distributing aid saying that they were more stretched 516 00:26:23,600 --> 00:26:26,840 Speaker 1: before the war than they had ever been in history. 517 00:26:27,200 --> 00:26:30,199 Speaker 1: So with these kind of price spikes thirteen percent in 518 00:26:30,240 --> 00:26:35,840 Speaker 1: a single month, it really spells a lot of heartache, death, pain, 519 00:26:36,080 --> 00:26:38,800 Speaker 1: and disaster. And you know something we're definitely going to 520 00:26:38,880 --> 00:26:42,200 Speaker 1: keep our eye on. Okay, another story we've been long 521 00:26:42,400 --> 00:26:46,360 Speaker 1: keeping our eye on is the alleged plot to kidnap 522 00:26:46,560 --> 00:26:51,400 Speaker 1: Gretchen Wimmer. So the jury in the trial of four 523 00:26:51,440 --> 00:26:56,040 Speaker 1: men accused in this kidnapping plot has partially returned verdict. 524 00:26:56,119 --> 00:26:59,000 Speaker 1: Let's go ahead and put this Detroit Free Press article 525 00:26:59,080 --> 00:27:03,000 Speaker 1: up on the screen. Two Whitmer kidnapping plot suspects were 526 00:27:03,040 --> 00:27:07,520 Speaker 1: found not guilty. A mistrial was declared for the other two, 527 00:27:07,680 --> 00:27:11,600 Speaker 1: meaning the jury could not ultimately come to a decision. 528 00:27:11,680 --> 00:27:13,120 Speaker 1: Let me read you a little bit of this, they say. 529 00:27:13,160 --> 00:27:16,159 Speaker 1: The historic wretchmen Whitmer kidnapped plot case ended with no 530 00:27:16,240 --> 00:27:18,959 Speaker 1: convictions Friday, delivering a blow to the government as it 531 00:27:19,000 --> 00:27:22,280 Speaker 1: failed to convince a jury that four militia members were 532 00:27:22,280 --> 00:27:25,439 Speaker 1: domestic terrorists determined to harm the governor because of her 533 00:27:25,480 --> 00:27:28,760 Speaker 1: COVID nineteen restrictions. The jury declared two of those men 534 00:27:28,880 --> 00:27:32,320 Speaker 1: not guilty, but deadlocked on the charges against the other two, 535 00:27:32,560 --> 00:27:36,199 Speaker 1: who will be retried. You guys probably remember some of 536 00:27:36,240 --> 00:27:38,880 Speaker 1: the details of this case. It was announced in an 537 00:27:39,000 --> 00:27:42,639 Speaker 1: FBI press conference very shortly before the November general election 538 00:27:42,880 --> 00:27:46,640 Speaker 1: of Trump versus Biden, and the details were quite scary 539 00:27:46,680 --> 00:27:50,159 Speaker 1: and quite stunning. What we learned is that these extremists, 540 00:27:50,440 --> 00:27:54,480 Speaker 1: is the FBI's telling, were concocting a plot to ultimately 541 00:27:55,119 --> 00:27:57,879 Speaker 1: take Gretchen Whitmer from her home, that they had been 542 00:27:57,960 --> 00:28:02,000 Speaker 1: casing the joint, that they had been purchasing explosives, and 543 00:28:02,520 --> 00:28:06,480 Speaker 1: this was a dramatic show of their fight against right 544 00:28:06,520 --> 00:28:10,439 Speaker 1: wing domestic violence and extremism. Let's take a listen to 545 00:28:10,640 --> 00:28:12,680 Speaker 1: a little bit of how that was presented at the time. 546 00:28:13,240 --> 00:28:17,720 Speaker 1: Last night, the FBI and Michigan State Police arrested six 547 00:28:17,760 --> 00:28:22,360 Speaker 1: individuals charged in a federal complaint with conspiring to kidnap 548 00:28:22,880 --> 00:28:28,280 Speaker 1: the Governor of Michigan, Gretchen Whitmer. According to the complaint 549 00:28:28,640 --> 00:28:34,600 Speaker 1: on sealed this morning, Adam Fox, Barry Croft, Ty Garbin, 550 00:28:35,720 --> 00:28:42,280 Speaker 1: Caleb Franks, Daniel Harris, and Brandon Caserta conspired to kidnap 551 00:28:42,360 --> 00:28:45,640 Speaker 1: the governor from her vacation home in the Western District 552 00:28:45,640 --> 00:28:51,360 Speaker 1: of Michigan before the Numbebber election. Under federal law, each 553 00:28:51,400 --> 00:28:55,360 Speaker 1: of these individuals faces a term of any number of 554 00:28:55,440 --> 00:29:01,400 Speaker 1: years up to life in prison if convicted. Garbin, Franks, 555 00:29:01,560 --> 00:29:07,120 Speaker 1: Harrison Caserta are residents of Michigan. Croft is a resident 556 00:29:07,160 --> 00:29:11,720 Speaker 1: of Delaware. All of us standing here today want the 557 00:29:11,720 --> 00:29:15,160 Speaker 1: public to know that federal and state law enforcement are 558 00:29:15,160 --> 00:29:20,000 Speaker 1: committed to working together to make sure violent extremists never 559 00:29:20,080 --> 00:29:26,040 Speaker 1: succeed with their plans, particularly when they target are duly 560 00:29:26,080 --> 00:29:30,320 Speaker 1: elected leaders. Among other activities, members of this conspiracy on 561 00:29:30,360 --> 00:29:36,360 Speaker 1: two occasions conducted coordinated surveillance on the governor's vacation home. 562 00:29:37,360 --> 00:29:41,200 Speaker 1: Fox and Croft, in particular, according to the complaint, discussed 563 00:29:41,280 --> 00:29:45,520 Speaker 1: detonating explosive devices to divert police from the area of 564 00:29:45,560 --> 00:29:50,080 Speaker 1: the home, and Fox even inspected the underside of a 565 00:29:50,080 --> 00:29:55,320 Speaker 1: Michigan Highway bridge for places to set and explosive The 566 00:29:55,360 --> 00:29:58,600 Speaker 1: complaint further alleges that Fox purchased a taser for use 567 00:29:58,720 --> 00:30:02,840 Speaker 1: in the kidnapping, and that the group successfully detonated an 568 00:30:02,840 --> 00:30:08,040 Speaker 1: improvised explosive device wrapped with shrapnel to test its anti 569 00:30:08,120 --> 00:30:14,800 Speaker 1: personnel capabilities. The FBI and state police execute arrests, so 570 00:30:14,960 --> 00:30:17,720 Speaker 1: several of the conspirators when they were meeting on the 571 00:30:17,760 --> 00:30:21,440 Speaker 1: east side of the state to proove funds for explosives 572 00:30:22,000 --> 00:30:27,120 Speaker 1: and exchange tactical gear. So sounds absolutely horrifying and sounds 573 00:30:27,120 --> 00:30:29,680 Speaker 1: like an open and shutcase. But then we started to 574 00:30:29,760 --> 00:30:33,160 Speaker 1: learn some more details about exactly how this plot came 575 00:30:33,200 --> 00:30:35,640 Speaker 1: to be, and frankly, it had a lot of echoes 576 00:30:36,000 --> 00:30:40,480 Speaker 1: with the type of type of plots that were disrupted 577 00:30:40,560 --> 00:30:44,000 Speaker 1: by the FBI during the post nine to eleven era 578 00:30:44,360 --> 00:30:48,600 Speaker 1: when they would effectively find some vulnerable young Muslim man 579 00:30:49,120 --> 00:30:54,520 Speaker 1: oftentimes encourage him in his radicalization, help him concoct a plot, 580 00:30:54,720 --> 00:30:57,280 Speaker 1: and then swoop in to disrupt the plot that the 581 00:30:57,360 --> 00:31:00,560 Speaker 1: FBI had created. In fact, we learned that there were 582 00:31:00,640 --> 00:31:04,680 Speaker 1: more FBI informants and agents involved than there were people 583 00:31:04,680 --> 00:31:07,720 Speaker 1: who were being accused of being involved in the plot. 584 00:31:08,000 --> 00:31:11,800 Speaker 1: Then some of the cools that the FBI was working 585 00:31:11,840 --> 00:31:14,160 Speaker 1: with here you started to learn, Oh, this one is 586 00:31:14,200 --> 00:31:17,240 Speaker 1: being charged with domestic violence. Oh, the star witness is 587 00:31:17,240 --> 00:31:19,880 Speaker 1: having to be pulled out because they're being charged with 588 00:31:19,920 --> 00:31:23,560 Speaker 1: their own criminal behavior. One of the key players here, 589 00:31:23,720 --> 00:31:26,200 Speaker 1: Now the FBI is saying, oh, actually, you know, they're 590 00:31:26,200 --> 00:31:28,880 Speaker 1: not really our informant. They were actually a double agent. 591 00:31:29,200 --> 00:31:33,120 Speaker 1: Because their own sort of corrupt behavior was exposed. You 592 00:31:33,160 --> 00:31:35,960 Speaker 1: had someone who was effectively trying to profit off of 593 00:31:36,000 --> 00:31:38,520 Speaker 1: their work with the FBI and their own consulting business. 594 00:31:38,720 --> 00:31:41,280 Speaker 1: And I want to give a lot of credit to BuzzFeed, 595 00:31:41,600 --> 00:31:46,040 Speaker 1: which was really the only mainstream news outlet that bothered 596 00:31:46,080 --> 00:31:48,920 Speaker 1: to do the work of explaining why this case was 597 00:31:48,960 --> 00:31:52,080 Speaker 1: a lot more complicated than the government and most of 598 00:31:52,120 --> 00:31:54,480 Speaker 1: the press was portraying it. Let's go ahead and put 599 00:31:54,480 --> 00:31:56,800 Speaker 1: this BuzzFeed tweet up on the screen this was some 600 00:31:56,840 --> 00:32:00,080 Speaker 1: of the original reporting. They actually did the work of 601 00:32:00,120 --> 00:32:02,960 Speaker 1: digging through what the government case was and what the 602 00:32:03,000 --> 00:32:06,239 Speaker 1: defense was saying actually happened. They say when fourteen men 603 00:32:06,280 --> 00:32:08,880 Speaker 1: were charged with conspiring and kidnapped Michigan's governor and kick 604 00:32:08,880 --> 00:32:10,800 Speaker 1: off a civil war, Last Vault was hailed as a 605 00:32:10,840 --> 00:32:13,720 Speaker 1: triumph in the FBI's battle against domestic terrorism. But the 606 00:32:13,760 --> 00:32:17,080 Speaker 1: men say they weren't plotting. They say they were set up. 607 00:32:17,440 --> 00:32:19,320 Speaker 1: This tweet thread goes on to say it started when 608 00:32:19,400 --> 00:32:21,760 Speaker 1: Dan and a Rock War veteran joined a group called 609 00:32:21,760 --> 00:32:24,680 Speaker 1: the Wolverine Watchman, looking to practice tactical training with like 610 00:32:24,720 --> 00:32:27,240 Speaker 1: minded people, but when he read their violent messages, he 611 00:32:27,320 --> 00:32:29,960 Speaker 1: contacted the police and soon found himself working as a 612 00:32:29,960 --> 00:32:33,960 Speaker 1: confidential FBI informant. The FBI called it Operation Cold Snap. 613 00:32:34,040 --> 00:32:36,160 Speaker 1: Dan was wearing a wire when a heavily armed crowd 614 00:32:36,200 --> 00:32:40,120 Speaker 1: occupied Michigan's capital in April twenty twenty. Around the same time, 615 00:32:40,200 --> 00:32:43,360 Speaker 1: another government informant was helping organize a national militia meeting 616 00:32:43,400 --> 00:32:45,640 Speaker 1: in Ohio. One of the participants later told Dan about 617 00:32:45,680 --> 00:32:47,880 Speaker 1: his plan from the Michigan State capital, take the building 618 00:32:47,920 --> 00:32:51,800 Speaker 1: and then take fing hostages. So what they dig into 619 00:32:52,000 --> 00:32:54,440 Speaker 1: is the fact that at every step along the way 620 00:32:54,480 --> 00:32:57,160 Speaker 1: of this plot, it was people who were working for 621 00:32:57,200 --> 00:33:00,360 Speaker 1: the FBI who were really pushing them forward, who in 622 00:33:00,400 --> 00:33:04,440 Speaker 1: some instances were you know, gathering meetings of extremists to 623 00:33:04,480 --> 00:33:06,680 Speaker 1: try to hatch these plots, who were providing them with 624 00:33:06,760 --> 00:33:11,520 Speaker 1: material support. And so the defense's argument here was that no, no, no, Yes, 625 00:33:11,960 --> 00:33:15,720 Speaker 1: were they saying some basically terrible things that no one 626 00:33:15,840 --> 00:33:20,960 Speaker 1: could possibly condone. Yes, were they actually able and materially 627 00:33:21,080 --> 00:33:25,400 Speaker 1: like materially able to pull off some plot against the governor? No, 628 00:33:25,520 --> 00:33:28,880 Speaker 1: they were entrapped. This was classic FBI in trapman. Now, 629 00:33:29,120 --> 00:33:32,920 Speaker 1: historically that has been a very very difficult thing to argue, 630 00:33:33,000 --> 00:33:36,160 Speaker 1: and we saw maybe no cases during the nine to 631 00:33:36,200 --> 00:33:38,920 Speaker 1: eleven era when you were dealing with young Muslim men 632 00:33:39,280 --> 00:33:42,000 Speaker 1: in which the jury found this case to be convincing. 633 00:33:42,040 --> 00:33:44,400 Speaker 1: And I do think that is an important part of this. 634 00:33:44,800 --> 00:33:47,800 Speaker 1: But you had a government which was so heavy handed 635 00:33:47,920 --> 00:33:51,520 Speaker 1: and which worked with such just sketchy and nefarious type 636 00:33:51,520 --> 00:33:55,600 Speaker 1: of people in these plots that ultimately the jury, even 637 00:33:55,680 --> 00:33:58,240 Speaker 1: though they were very limited in the information that they 638 00:33:58,240 --> 00:34:00,920 Speaker 1: were given, they didn't have inform that we had at 639 00:34:00,920 --> 00:34:04,960 Speaker 1: our disposal from BuzzFeed's journalism and others. Even though they 640 00:34:05,000 --> 00:34:07,720 Speaker 1: were given a very sort of pro government version of 641 00:34:07,760 --> 00:34:11,359 Speaker 1: the case, they saw enough here to feel like this 642 00:34:11,560 --> 00:34:15,560 Speaker 1: was entrapment. The government went too far and these dudes 643 00:34:15,640 --> 00:34:18,400 Speaker 1: were not really capable at all. I mean, it's basically 644 00:34:18,480 --> 00:34:22,480 Speaker 1: like a bunch of tough talking losers who were incapable 645 00:34:22,520 --> 00:34:24,960 Speaker 1: of really sort of putting this plot together themselves. Yeah, 646 00:34:24,960 --> 00:34:26,560 Speaker 1: I mean the way you laid it out is perfect. 647 00:34:26,600 --> 00:34:29,400 Speaker 1: Which is that Look, the guy who started this was 648 00:34:29,480 --> 00:34:32,760 Speaker 1: Dame Dan, who started the Facebook group and then started 649 00:34:32,800 --> 00:34:35,719 Speaker 1: reaching out to these people. Well, all of the defendants 650 00:34:35,760 --> 00:34:39,239 Speaker 1: are like, hey, Dan, who was working for the government 651 00:34:39,600 --> 00:34:41,360 Speaker 1: is the one who pushed us to do this in 652 00:34:41,400 --> 00:34:44,880 Speaker 1: the first place. That's straight up entrapman. I mean you 653 00:34:45,080 --> 00:34:46,879 Speaker 1: referenced the war on Terror. I used to write about 654 00:34:46,880 --> 00:34:49,480 Speaker 1: a lot of these cases, and I remember even you know, 655 00:34:49,560 --> 00:34:51,680 Speaker 1: I was younger in a different political persuasion, and I 656 00:34:51,719 --> 00:34:53,799 Speaker 1: was like, this is kind of messed up because you 657 00:34:53,920 --> 00:34:55,880 Speaker 1: read about some eighteen year old kid who lives in 658 00:34:55,920 --> 00:34:59,920 Speaker 1: Ohio and you would tweet something like iHeart isis young Muslim. 659 00:35:00,360 --> 00:35:02,920 Speaker 1: Somebody slides into his DMS they're like, hey man, I 660 00:35:03,120 --> 00:35:05,680 Speaker 1: like isis too, He's like, oh cool. They start talking. 661 00:35:05,920 --> 00:35:07,960 Speaker 1: Then they're like, hey, you should buy a ticket to Syria, 662 00:35:08,040 --> 00:35:10,680 Speaker 1: and he's like, Okay, buys a ticket to Syria. You 663 00:35:10,680 --> 00:35:12,600 Speaker 1: show up at the airport, bo when you're trying to 664 00:35:12,600 --> 00:35:14,920 Speaker 1: board the plane, boom, material support for terrorism. You're going 665 00:35:14,920 --> 00:35:17,120 Speaker 1: to jail for like twenty years. I mean, it's like, 666 00:35:17,120 --> 00:35:19,920 Speaker 1: what are you really about a ticket to Syria? Right now? 667 00:35:19,960 --> 00:35:22,440 Speaker 1: The argument from the government was, yeah, but he's a 668 00:35:22,480 --> 00:35:24,560 Speaker 1: potential loan wolf, so it's better to take him off 669 00:35:24,719 --> 00:35:27,919 Speaker 1: the street. But you can see very clearly here it's like, well, 670 00:35:27,920 --> 00:35:31,439 Speaker 1: he didn't actually have the intent in order to do that. Yeah, 671 00:35:31,480 --> 00:35:33,440 Speaker 1: he's going to Syria. But you know, in terms of 672 00:35:33,440 --> 00:35:35,719 Speaker 1: what they were saying or not, it was hard to 673 00:35:35,719 --> 00:35:37,960 Speaker 1: have sympathy at the time, but when you look at 674 00:35:37,960 --> 00:35:41,400 Speaker 1: it now, on the face, these are very very dangerous tactics, 675 00:35:41,440 --> 00:35:44,160 Speaker 1: and especially whenever it comes to this, it's very clear 676 00:35:44,440 --> 00:35:47,439 Speaker 1: that these guys were i would say set up at 677 00:35:47,600 --> 00:35:51,440 Speaker 1: worst and at at best. Really, what it was happening 678 00:35:51,440 --> 00:35:53,239 Speaker 1: here is that there are a bunch of losers, which 679 00:35:53,600 --> 00:35:57,040 Speaker 1: is funny because that's actually the argument that the lawyer 680 00:35:57,320 --> 00:35:59,719 Speaker 1: for one of the defendants presented to the jury. He 681 00:35:59,760 --> 00:36:03,160 Speaker 1: said as mister Fox was a misfit who couldn't stop 682 00:36:03,239 --> 00:36:08,040 Speaker 1: smoking pot. His only friends are FBI undercover agents and 683 00:36:08,120 --> 00:36:12,480 Speaker 1: informants who were spying on him, entrapped him and pushed 684 00:36:12,520 --> 00:36:16,960 Speaker 1: him towards a kidnapping plot. To talk probably the terrorist 685 00:36:17,040 --> 00:36:18,719 Speaker 1: master point is this the dude that lived in the 686 00:36:18,719 --> 00:36:21,080 Speaker 1: basement of a vacuum store. I had to go across 687 00:36:21,120 --> 00:36:23,560 Speaker 1: the street to use the bathroom. Yah. I mean, listen, 688 00:36:23,680 --> 00:36:26,120 Speaker 1: you can be a loser and also be a bad person. 689 00:36:26,239 --> 00:36:28,879 Speaker 1: And this is not to cast judgment like that say 690 00:36:28,920 --> 00:36:31,440 Speaker 1: these are oh, they were totally you know, wrongly and 691 00:36:31,480 --> 00:36:33,480 Speaker 1: they're great guys. I don't nobody's saying any of them. 692 00:36:34,400 --> 00:36:38,560 Speaker 1: The real question here is are the FBI's actions actually 693 00:36:38,640 --> 00:36:41,880 Speaker 1: keeping you safer? Right? And I think it's pretty clear 694 00:36:42,480 --> 00:36:46,080 Speaker 1: not only from the number of the links they had 695 00:36:46,120 --> 00:36:49,560 Speaker 1: to go to to craft this plot, but also the 696 00:36:49,560 --> 00:36:52,040 Speaker 1: people that they were paying and getting in bed with 697 00:36:52,400 --> 00:36:56,200 Speaker 1: and authorizing, like basically their own criminal behavior. I think 698 00:36:56,239 --> 00:36:59,520 Speaker 1: the answer here is pretty clearly no. And we also 699 00:36:59,560 --> 00:37:01,799 Speaker 1: have to keep it. There's a lot of incentive. I mean, 700 00:37:01,880 --> 00:37:04,719 Speaker 1: careers were made during the War on Terror on these 701 00:37:04,800 --> 00:37:09,200 Speaker 1: kind of like splashy press conferences and elaborate plots used 702 00:37:09,239 --> 00:37:12,160 Speaker 1: to freak the public out that these sort of plans 703 00:37:12,200 --> 00:37:15,160 Speaker 1: are being hatched around every corner. But thank god, you know, 704 00:37:15,600 --> 00:37:17,719 Speaker 1: the good men and women of the FBI are there 705 00:37:17,760 --> 00:37:20,160 Speaker 1: to disrupt it. And it turns out when you get 706 00:37:20,160 --> 00:37:23,880 Speaker 1: into the details the government so far, according to the jury, 707 00:37:24,680 --> 00:37:28,640 Speaker 1: the government behaved in a more criminal way than these 708 00:37:28,719 --> 00:37:31,680 Speaker 1: men ultimately did. So you had six people who were charged. 709 00:37:31,920 --> 00:37:34,480 Speaker 1: Originally two of them took plea deals, they pled guilty, 710 00:37:34,719 --> 00:37:37,560 Speaker 1: and they cooperated. Two of them, as I said, there's 711 00:37:37,560 --> 00:37:40,080 Speaker 1: a mistrial. Two of them now found not guilty. So 712 00:37:40,200 --> 00:37:42,200 Speaker 1: that's where things stand. I just want to give you 713 00:37:42,280 --> 00:37:46,040 Speaker 1: this is also from This is from the reporting of 714 00:37:46,080 --> 00:37:49,759 Speaker 1: BuzzFeed on the conclusion of this trial, just to give 715 00:37:49,800 --> 00:37:53,239 Speaker 1: you a sense of how lopsided the trial ultimately was 716 00:37:53,320 --> 00:37:57,239 Speaker 1: and how little the jury was able to benefit from 717 00:37:57,280 --> 00:37:59,960 Speaker 1: sort of a full picture of the governments that involved 718 00:38:00,320 --> 00:38:03,960 Speaker 1: and these FBI agents and informants in their behavior. So 719 00:38:04,040 --> 00:38:06,399 Speaker 1: let me read you from this BuzzFeed piece. They say, 720 00:38:06,400 --> 00:38:08,719 Speaker 1: in the government's telling, the most critical moment in the 721 00:38:08,760 --> 00:38:11,720 Speaker 1: Ledge plot took place late on September twelve, twenty twenty 722 00:38:11,719 --> 00:38:15,160 Speaker 1: when Foxcroft and others piled into three trucks and headed 723 00:38:15,160 --> 00:38:19,200 Speaker 1: out to conduct nighttime surveillance of Whitmer's lakeside cottage, it 724 00:38:19,320 --> 00:38:21,960 Speaker 1: was not a great success. For one thing, their companions 725 00:38:21,960 --> 00:38:25,200 Speaker 1: that night included two confidential informants and two undercover agents. 726 00:38:25,480 --> 00:38:29,120 Speaker 1: Some ten additional FBI agents followed them on route, and 727 00:38:29,239 --> 00:38:33,880 Speaker 1: stationary cameras mounted as strategic spots tracked their progress. For 728 00:38:34,040 --> 00:38:37,440 Speaker 1: another despite all the careful planning, the men failed to 729 00:38:37,520 --> 00:38:40,560 Speaker 1: find Whitmer's house because they'd been given the wrong address. 730 00:38:40,920 --> 00:38:43,080 Speaker 1: Heavy rains made it impossible for them to spot one 731 00:38:43,080 --> 00:38:46,080 Speaker 1: another from across the lake, as they had hoped to do. Nonetheless, 732 00:38:46,280 --> 00:38:48,640 Speaker 1: the government seized on the narrative value of that outing, 733 00:38:48,680 --> 00:38:50,799 Speaker 1: and several times around the trial showed the jury a 734 00:38:50,840 --> 00:38:54,000 Speaker 1: pair of videos re enacting it, except it looked a 735 00:38:54,000 --> 00:38:57,000 Speaker 1: little different on the projector's screen. In one of the videos, 736 00:38:57,000 --> 00:38:59,319 Speaker 1: a confidential informant and two agents sit in a truck 737 00:38:59,320 --> 00:39:02,839 Speaker 1: parked in Whitmer's driveway, which none of the defendants had 738 00:39:02,840 --> 00:39:05,920 Speaker 1: ever even found. A second video, viewed from across the lake, 739 00:39:05,920 --> 00:39:09,000 Speaker 1: shows a glowing infrared illuminator held by an FBI agent 740 00:39:09,080 --> 00:39:12,279 Speaker 1: standing on Whitmer's boat dock, a vantage point not one 741 00:39:12,400 --> 00:39:17,880 Speaker 1: of the defendants ever had. So instead of using our 742 00:39:17,960 --> 00:39:22,160 Speaker 1: law enforcement resources to you know, actually disrupt things that 743 00:39:22,200 --> 00:39:25,719 Speaker 1: are going on and actually go after criminal behavior, they 744 00:39:25,840 --> 00:39:30,560 Speaker 1: were using elaborate and extensive amount of resources to basically 745 00:39:30,640 --> 00:39:33,480 Speaker 1: help create this plot this is what the jury has 746 00:39:33,520 --> 00:39:36,480 Speaker 1: found at this point, and then to swoop in and 747 00:39:36,560 --> 00:39:38,920 Speaker 1: disrupt it. The last thing that I'll say about this 748 00:39:39,160 --> 00:39:43,440 Speaker 1: is I do think it's another example of complete media 749 00:39:43,640 --> 00:39:45,719 Speaker 1: failure in terms of, you know, there are going to 750 00:39:45,760 --> 00:39:47,239 Speaker 1: be a lot of people out there who look at 751 00:39:47,239 --> 00:39:49,640 Speaker 1: this outcome and are just going to be totally shocked, 752 00:39:49,880 --> 00:39:52,240 Speaker 1: like how could this happen? How can you get away 753 00:39:52,280 --> 00:39:55,680 Speaker 1: with like plotting to kidnap and potentially murder the governor 754 00:39:55,719 --> 00:39:58,040 Speaker 1: of a state, Like how did this come to be? 755 00:39:58,600 --> 00:40:01,280 Speaker 1: And so the media does no fa when they gloss 756 00:40:01,400 --> 00:40:05,080 Speaker 1: over these details which were very uncomfortable for the government's case, 757 00:40:05,160 --> 00:40:08,000 Speaker 1: because it doesn't help people understand what was going on, 758 00:40:08,560 --> 00:40:11,319 Speaker 1: and also the abuse of power of the FBI and 759 00:40:11,360 --> 00:40:14,800 Speaker 1: the misuse of resources that could be used to actually 760 00:40:14,840 --> 00:40:17,320 Speaker 1: keep people safe. So I do think it's also a 761 00:40:17,400 --> 00:40:20,799 Speaker 1: dramatic media failure that very few people are going to 762 00:40:20,960 --> 00:40:23,880 Speaker 1: understand why the jury decided what they decided. Well, and 763 00:40:23,920 --> 00:40:26,400 Speaker 1: you know why that that happened. It was because they 764 00:40:26,520 --> 00:40:28,839 Speaker 1: built it up that this is before the twenty twenty election. 765 00:40:29,040 --> 00:40:32,319 Speaker 1: It was presentation of rising right wing extremism. And then 766 00:40:32,320 --> 00:40:35,480 Speaker 1: it got January six, and then the media had to 767 00:40:35,560 --> 00:40:38,680 Speaker 1: go and protect the FBI's new domestic war on terror 768 00:40:38,680 --> 00:40:42,719 Speaker 1: and acknowledging the original roots of this right wing extremism 769 00:40:42,800 --> 00:40:45,360 Speaker 1: narrative and the role which in the FBI played in 770 00:40:45,400 --> 00:40:48,759 Speaker 1: that and also possibly on January six cannot be discussed 771 00:40:48,760 --> 00:40:53,640 Speaker 1: for politically correct reasons, which then brainwashes millions of people. 772 00:40:53,719 --> 00:40:55,359 Speaker 1: And like you said, I feel bad for them. If 773 00:40:55,360 --> 00:40:58,400 Speaker 1: you're one of those, you know, MSNBC libs, you're like, 774 00:40:58,480 --> 00:41:01,240 Speaker 1: what the hell is happening? Right, You're like, this country's 775 00:41:01,280 --> 00:41:03,200 Speaker 1: going to hell? You know that, you don't even know 776 00:41:03,280 --> 00:41:07,440 Speaker 1: the facts why exactly what happened. And from the beginning, 777 00:41:07,560 --> 00:41:10,560 Speaker 1: what six seven months ago, since we started doing the 778 00:41:11,320 --> 00:41:13,799 Speaker 1: toss talking about this case, I was clear as day. 779 00:41:13,800 --> 00:41:15,480 Speaker 1: I was like, there's no way these guys are making convicted. 780 00:41:15,560 --> 00:41:17,640 Speaker 1: This's just it didn't seem possible to me, even with 781 00:41:17,680 --> 00:41:21,520 Speaker 1: the slanted government narrative, given how many of the informants 782 00:41:21,520 --> 00:41:24,319 Speaker 1: themselves were criminals, how many of them were engaged in 783 00:41:24,320 --> 00:41:28,520 Speaker 1: all sorts of sketchy behavior, clear entrapment almost night and day, 784 00:41:28,960 --> 00:41:31,440 Speaker 1: no matter how you feel about them from a sympathy 785 00:41:31,680 --> 00:41:33,279 Speaker 1: point of view. And I think that's a Yeah, it's 786 00:41:33,280 --> 00:41:36,239 Speaker 1: a real tragedy media story, and politically this had a 787 00:41:36,239 --> 00:41:38,640 Speaker 1: big impact at the time. Don't forget how she was 788 00:41:38,680 --> 00:41:41,000 Speaker 1: a star. She almost became the vice president. Yeah, remember, 789 00:41:41,080 --> 00:41:44,400 Speaker 1: I mean she was one of the most popular Democrats 790 00:41:44,400 --> 00:41:47,120 Speaker 1: in the country for a time during the whole COVID thing. 791 00:41:47,239 --> 00:41:49,160 Speaker 1: So I just think that you put that all together 792 00:41:49,280 --> 00:41:52,200 Speaker 1: as a very clear manipulation by the FBI. They all 793 00:41:52,239 --> 00:41:54,400 Speaker 1: did this for political benefit. We all know it. They 794 00:41:54,400 --> 00:41:56,759 Speaker 1: thought Trump was gonna lose. They wanted Cachet with a 795 00:41:56,800 --> 00:42:01,040 Speaker 1: Biden administration help protect this fancy governor. These guys up. 796 00:42:01,160 --> 00:42:03,680 Speaker 1: It's a great story. You can make your career, you know, 797 00:42:03,760 --> 00:42:06,920 Speaker 1: kind from the brass political careers and a lot of 798 00:42:07,000 --> 00:42:09,360 Speaker 1: you know, law enforcement careers made from this type of 799 00:42:09,520 --> 00:42:12,319 Speaker 1: high profile plot disruption. So the incentives are all in 800 00:42:12,360 --> 00:42:16,360 Speaker 1: the wrong place. Yeah, I mean we first became skeptical 801 00:42:16,400 --> 00:42:18,120 Speaker 1: of it, just so you know, this isn't some like 802 00:42:18,239 --> 00:42:22,360 Speaker 1: you know, right wing conspiracy. It's actually Jacobin role that 803 00:42:22,520 --> 00:42:26,200 Speaker 1: was like maybe this was a plot, but also take 804 00:42:26,239 --> 00:42:29,000 Speaker 1: a look, just be like some of the hallmarks of 805 00:42:29,080 --> 00:42:32,160 Speaker 1: exactly the tactics that they used during the War on 806 00:42:32,280 --> 00:42:37,160 Speaker 1: Terror were employed in this alleged plot. And my play 807 00:42:37,160 --> 00:42:40,440 Speaker 1: to you guys is just like, regardless of whether these 808 00:42:40,480 --> 00:42:44,799 Speaker 1: sorts of tactics are used against muslim men or right 809 00:42:44,840 --> 00:42:48,759 Speaker 1: wing groups or Antifa or whoever it is, make sure 810 00:42:48,800 --> 00:42:52,719 Speaker 1: you apply the same standard and see it consistently. For 811 00:42:53,080 --> 00:42:56,240 Speaker 1: you know, this is a complete overuse, overreach and abuse 812 00:42:56,320 --> 00:42:59,759 Speaker 1: of power that only benefits like the FBI and the 813 00:43:00,320 --> 00:43:03,200 Speaker 1: state and does not keep the American people safer. Yeah, 814 00:43:03,320 --> 00:43:07,560 Speaker 1: well said, Okay, let's go ahead and move on to 815 00:43:07,800 --> 00:43:11,800 Speaker 1: a fun story. President Trump is endorsing doctor Oz in 816 00:43:11,840 --> 00:43:14,920 Speaker 1: the Pennsylvania Senate. Racist put this up there on the screen. 817 00:43:15,040 --> 00:43:17,239 Speaker 1: I've got to read you this fun statement. It is 818 00:43:17,880 --> 00:43:22,080 Speaker 1: truly something classic. Okay, endorsement of doctor Oz from President 819 00:43:22,160 --> 00:43:24,640 Speaker 1: Donald Trump. This is all about winning elections in order 820 00:43:24,640 --> 00:43:27,160 Speaker 1: to stop the radical left maniacs from destroying our country. 821 00:43:27,160 --> 00:43:30,120 Speaker 1: The great Commonwealth of Pennsylvania has a tremendous opportunity to 822 00:43:30,160 --> 00:43:33,680 Speaker 1: save America by electing the brilliant and well known doctor 823 00:43:33,760 --> 00:43:36,640 Speaker 1: Mehmet Oz for the United States Senate. I have known 824 00:43:36,680 --> 00:43:38,840 Speaker 1: doctor Oz for many years. He has lived through at 825 00:43:38,960 --> 00:43:41,800 Speaker 1: us through the screen, has always made popular, respected and smart. 826 00:43:41,960 --> 00:43:44,080 Speaker 1: He even said I was an extraordinary health, which made 827 00:43:44,120 --> 00:43:46,680 Speaker 1: me like him even more, although he also said I 828 00:43:46,680 --> 00:43:49,360 Speaker 1: should lose a couple of pounds. He is a graduate 829 00:43:49,400 --> 00:43:53,640 Speaker 1: of Harvard University. He earned a joint MDMA, md MBA 830 00:43:53,880 --> 00:43:56,280 Speaker 1: from the University of Pennsylvania School of Medicine and Wharton 831 00:43:56,320 --> 00:43:59,200 Speaker 1: School Finance. He has authored three hundred and fifty books. 832 00:43:59,400 --> 00:44:02,320 Speaker 1: He continues, doctor Oz is pro life, strong on crime 833 00:44:02,360 --> 00:44:05,160 Speaker 1: the border of the election. He also passionately believes in 834 00:44:05,239 --> 00:44:09,319 Speaker 1: high quality education, protecting parent involvement. Perhaps more importantly, I 835 00:44:09,400 --> 00:44:11,680 Speaker 1: believe doctor memon Oz will be the one to win 836 00:44:11,719 --> 00:44:15,360 Speaker 1: the general election. Women in particular are drawn to doctor 837 00:44:15,360 --> 00:44:18,319 Speaker 1: Oz for his advice and counsel. I have seen this 838 00:44:18,520 --> 00:44:22,480 Speaker 1: many times over the years. They know him, believe in him, 839 00:44:22,719 --> 00:44:26,680 Speaker 1: trust him. Likewise, he will do well in Philadelphia and Pittsburgh, 840 00:44:26,840 --> 00:44:29,480 Speaker 1: or other candidates will not be accepted. He knows his 841 00:44:29,560 --> 00:44:32,399 Speaker 1: job is to serve every single Pennsylvanian. He is smart, tough, 842 00:44:32,440 --> 00:44:34,200 Speaker 1: and will never let you down. Therefore, he has my 843 00:44:34,239 --> 00:44:37,920 Speaker 1: complete and total endorsement. Good luck, doctor Oz. Our country 844 00:44:38,200 --> 00:44:40,759 Speaker 1: needs you. So look, I think he might be a 845 00:44:40,760 --> 00:44:42,520 Speaker 1: little bit right about the women things. Oh I he's 846 00:44:42,520 --> 00:44:44,560 Speaker 1: one hundred percent. I mean, this is like an Oprah 847 00:44:44,600 --> 00:44:48,719 Speaker 1: aligned figure, This is like daytime TV. So I do 848 00:44:48,800 --> 00:44:51,000 Speaker 1: think he might Day Oz announced. You can go and 849 00:44:51,080 --> 00:44:53,000 Speaker 1: check the record. I said, I think he's gonna win, 850 00:44:53,600 --> 00:44:56,560 Speaker 1: specifically because of his appeal to people who are non 851 00:44:56,640 --> 00:45:01,399 Speaker 1: political celebrity he normy appeal exactly. I mean, yeah, that's 852 00:45:01,560 --> 00:45:03,440 Speaker 1: a hard thing. That's a hard thing to deal with. 853 00:45:03,560 --> 00:45:07,600 Speaker 1: But so this has caused full scale meltdown in the 854 00:45:07,640 --> 00:45:11,040 Speaker 1: Maga universe, and it's especially hilarious to me given all 855 00:45:11,080 --> 00:45:14,160 Speaker 1: of the characters who are involved. So the other rival 856 00:45:14,400 --> 00:45:17,320 Speaker 1: against Doctor Oz was David McCormick. He actually was leading 857 00:45:17,320 --> 00:45:19,239 Speaker 1: Oz in the polls up to this. Let's put this 858 00:45:19,320 --> 00:45:23,000 Speaker 1: up there on the screen now. David McCormick, up until 859 00:45:23,200 --> 00:45:26,520 Speaker 1: I don't know six months ago, was the CEO and 860 00:45:26,600 --> 00:45:30,360 Speaker 1: head of the largest hedge fund in the world, Bridgewater Capital, 861 00:45:30,600 --> 00:45:34,359 Speaker 1: which was run by Oh Right, globalist in chief and 862 00:45:34,480 --> 00:45:39,640 Speaker 1: China apologist Ray Dalyo he himself is reportedly worth at 863 00:45:39,760 --> 00:45:42,279 Speaker 1: least up to a billion dollars at the very least, 864 00:45:42,320 --> 00:45:45,239 Speaker 1: he's got hundreds of millions in his pockets. This guy 865 00:45:45,480 --> 00:45:49,120 Speaker 1: is a Wall Street ghoul through and through, a huge 866 00:45:49,200 --> 00:45:53,640 Speaker 1: proponent of ESG, of investing in China. The worst of 867 00:45:53,760 --> 00:45:59,120 Speaker 1: globalism incarnate is David McCormick. But but, and this is 868 00:45:59,160 --> 00:46:03,480 Speaker 1: why Matt is melting down. His wife happens to be 869 00:46:03,880 --> 00:46:06,680 Speaker 1: Dina Powell. Now, you guys might not know who that is, 870 00:46:06,920 --> 00:46:09,400 Speaker 1: but she was on the National Security Council in the 871 00:46:09,440 --> 00:46:13,040 Speaker 1: Trump administration up until twenty seventeen, while she was on 872 00:46:13,080 --> 00:46:15,960 Speaker 1: a leave of absence from Goldman Sacks of where she 873 00:46:16,040 --> 00:46:19,040 Speaker 1: currently works. Right now, she's back at Goldman. Don't worry, 874 00:46:19,080 --> 00:46:22,839 Speaker 1: She's doing just fine. And at the time Trump loved her. 875 00:46:22,880 --> 00:46:25,200 Speaker 1: She's an Egyptian Coptic Christian. She did a lot of 876 00:46:25,200 --> 00:46:27,239 Speaker 1: the Isis stuff. She made a lot of friends in 877 00:46:27,280 --> 00:46:30,440 Speaker 1: the White House. So a lot of her former friends 878 00:46:30,480 --> 00:46:33,360 Speaker 1: in the White House are now working for David McCormick, 879 00:46:33,440 --> 00:46:38,080 Speaker 1: including Stephen Miller, Hope Hicks, huge number of people from 880 00:46:38,160 --> 00:46:41,640 Speaker 1: the Trump Trump campaign, and the Trump White House pays 881 00:46:41,680 --> 00:46:45,480 Speaker 1: big bucks, and so they have conferred upon David McCormick 882 00:46:45,719 --> 00:46:48,719 Speaker 1: the MAGA status. So they feel very stabbed in the 883 00:46:48,800 --> 00:46:52,640 Speaker 1: back or stabbed in the front by Trump endorsing Doctor Oz. 884 00:46:52,880 --> 00:46:54,839 Speaker 1: What I think is hilarious about this whole thing is 885 00:46:54,960 --> 00:46:57,520 Speaker 1: everybody's like, oh, doctor Oz is a huge liberal because 886 00:46:57,520 --> 00:47:00,920 Speaker 1: he interviewed Michelle Obama once on his show. Or doctor 887 00:47:00,960 --> 00:47:03,440 Speaker 1: Oz was pro choice before his pro life, Yeah, so 888 00:47:03,680 --> 00:47:08,480 Speaker 1: was Trump? Okay? Like savior fake crocodile tears. And the 889 00:47:08,520 --> 00:47:11,560 Speaker 1: alternative crystal is that they are claiming that the true 890 00:47:11,640 --> 00:47:15,680 Speaker 1: MAGA warrior is a fre catge fund conxecutive who is 891 00:47:16,239 --> 00:47:20,880 Speaker 1: I could not conjure a more Davos like ghoulish figure 892 00:47:21,200 --> 00:47:23,600 Speaker 1: than David mccorty. And just to give you a sense 893 00:47:23,640 --> 00:47:26,719 Speaker 1: of how cynecal he is, in that piece that we 894 00:47:26,800 --> 00:47:28,359 Speaker 1: just had out for the New York Times, they say 895 00:47:28,400 --> 00:47:31,879 Speaker 1: McCormick's married to Dina Powell Golden Sacks, a couple has 896 00:47:31,960 --> 00:47:35,560 Speaker 1: been warning their friends the McCormick plans to play up 897 00:47:35,600 --> 00:47:38,400 Speaker 1: Trump like views on the campaign trail, what they described 898 00:47:38,440 --> 00:47:41,240 Speaker 1: as simply the cost of running in a Republican primary 899 00:47:41,320 --> 00:47:44,239 Speaker 1: right now. According to two business associates of his from 900 00:47:44,239 --> 00:47:47,279 Speaker 1: Wall Street, who asked not to be named, discussing private conversations. 901 00:47:47,600 --> 00:47:50,960 Speaker 1: So they're going around to their Wall Street polite society 902 00:47:50,960 --> 00:47:53,520 Speaker 1: people and basically being like, we don't really mean any 903 00:47:53,560 --> 00:47:55,560 Speaker 1: of these stuff, but you know, these rubes in the 904 00:47:55,600 --> 00:47:58,000 Speaker 1: Republican primary, like we got to play up all the 905 00:47:58,040 --> 00:48:00,680 Speaker 1: sort of xenophobe and all of So just regard what 906 00:48:00,719 --> 00:48:03,400 Speaker 1: he's saying. It's worse Crystal, which is that Dina Powell 907 00:48:03,440 --> 00:48:07,000 Speaker 1: and Dina Powell and her husband in their meeting with Trump. 908 00:48:07,080 --> 00:48:08,960 Speaker 1: This is according to people who were inside the room. 909 00:48:09,040 --> 00:48:10,080 Speaker 1: You take it for what you will. Was from the 910 00:48:10,120 --> 00:48:12,440 Speaker 1: New York Times. They say that they pulled out a 911 00:48:12,480 --> 00:48:15,439 Speaker 1: picture of Oz wearing a turban where he was in 912 00:48:15,480 --> 00:48:20,840 Speaker 1: Turkey and a funeral procession wearing traditional Islamic garb, and 913 00:48:20,840 --> 00:48:23,879 Speaker 1: they're like, this guy can't win in Pennsylvania, so they're 914 00:48:23,920 --> 00:48:28,080 Speaker 1: willing to try and use Oz's Muslim identity. Doctor Oz 915 00:48:28,160 --> 00:48:31,080 Speaker 1: is not like a practicing Muslim, He's a secular Muslim. 916 00:48:31,360 --> 00:48:34,120 Speaker 1: Even that not only is it's actually worse than being racist. 917 00:48:34,200 --> 00:48:36,880 Speaker 1: It just shows complete contempt for the electorate that you 918 00:48:36,920 --> 00:48:38,799 Speaker 1: think that you could just like put that picture up 919 00:48:38,840 --> 00:48:41,920 Speaker 1: there and that a bunch of you know, Pennsylvania rednecks 920 00:48:41,920 --> 00:48:43,560 Speaker 1: would be like, oh, I don't know, right, I don't 921 00:48:44,040 --> 00:48:46,880 Speaker 1: this guy exactly. I'm so glad you said that. I mean, here, 922 00:48:47,440 --> 00:48:50,840 Speaker 1: let me here's another one that I found pretty pretty 923 00:48:50,840 --> 00:48:53,840 Speaker 1: interesting about David McCormick, and in twenty eighteen up ed 924 00:48:53,960 --> 00:48:58,360 Speaker 1: in the Washington Post. He backed Democratic congressional candidate Amy McGrath, 925 00:48:58,880 --> 00:49:02,399 Speaker 1: who was like literally the worst candidate who ever ran 926 00:49:02,480 --> 00:49:05,919 Speaker 1: for office in Kentucky and ultimately lost and was back 927 00:49:05,920 --> 00:49:08,640 Speaker 1: big time by the Democratic establishment. Over Charles Booker is 928 00:49:08,719 --> 00:49:13,000 Speaker 1: much more compelling and dynamic candidate. So anyway, this is 929 00:49:13,120 --> 00:49:16,799 Speaker 1: but now, now this is the new makeover. In an 930 00:49:16,840 --> 00:49:20,160 Speaker 1: interview with the Fox News host Mark Leavitt, McCormick said 931 00:49:20,200 --> 00:49:23,120 Speaker 1: he was running against quote the weakness and wokeness that 932 00:49:23,160 --> 00:49:25,400 Speaker 1: you see across the country. We wonder how long you 933 00:49:25,440 --> 00:49:28,520 Speaker 1: workedhot that. He noted he'd been driving it Ford f 934 00:49:28,600 --> 00:49:32,400 Speaker 1: one point fifty pickup across Pennsylvania to meet voters, and 935 00:49:32,480 --> 00:49:36,319 Speaker 1: though his father was actually a university president, he made 936 00:49:36,360 --> 00:49:39,720 Speaker 1: sure to mention the family farm, which he now owns. 937 00:49:40,040 --> 00:49:44,239 Speaker 1: These people are so frickin ye fake, it is incredible. 938 00:49:44,320 --> 00:49:47,719 Speaker 1: I mean Trump also, I don't know why anyone was 939 00:49:47,760 --> 00:49:51,759 Speaker 1: surprised that he endorsed like the TV dude that is, 940 00:49:51,960 --> 00:49:54,719 Speaker 1: you know, has some similarities to him. Frankly, I don't 941 00:49:54,719 --> 00:49:57,200 Speaker 1: know why. Ant has known him for thirty years ultimately 942 00:49:57,280 --> 00:49:59,680 Speaker 1: shocked by that. But yeah, I mean this Republican primary, 943 00:50:00,040 --> 00:50:03,240 Speaker 1: so the Trump had actually endorsed a different candidate, remember 944 00:50:03,280 --> 00:50:07,040 Speaker 1: this shot are now he saw Ultimately his wife had 945 00:50:07,480 --> 00:50:09,760 Speaker 1: in court filings that came out that he was accused 946 00:50:09,760 --> 00:50:12,640 Speaker 1: of domestic violence. He drops out of the race. That 947 00:50:12,719 --> 00:50:15,840 Speaker 1: was the original Trump endorsement, and so that left the 948 00:50:15,960 --> 00:50:19,200 Speaker 1: race really pretty wide open. The last polling I saw 949 00:50:19,280 --> 00:50:23,200 Speaker 1: had a massive number of voters who were undecided and 950 00:50:23,480 --> 00:50:26,040 Speaker 1: who said that you know, sixty one percent of those 951 00:50:26,120 --> 00:50:28,080 Speaker 1: voters said they're more likely to vote for a candidate 952 00:50:28,120 --> 00:50:31,080 Speaker 1: if Trump ultimately endorses them. So, while we've been giving 953 00:50:31,080 --> 00:50:34,399 Speaker 1: you some instances where the Trump endorsement hasn't really worked out, 954 00:50:34,400 --> 00:50:37,360 Speaker 1: Georgia being sort of the key one here, this is 955 00:50:37,400 --> 00:50:41,040 Speaker 1: one where, since it was already close, I would think 956 00:50:41,120 --> 00:50:44,239 Speaker 1: that this helps push OZ to the front of the 957 00:50:44,280 --> 00:50:47,200 Speaker 1: Republican primary, right, but at the same time, OZ is 958 00:50:47,239 --> 00:50:49,680 Speaker 1: not necessarily doing well in head to head polls against 959 00:50:49,760 --> 00:50:52,960 Speaker 1: John Feederi. Yeah, which is interesting. So Fetterman has you know, 960 00:50:53,239 --> 00:50:56,320 Speaker 1: his lieutenant governor, has a big profile in the state 961 00:50:56,480 --> 00:50:58,520 Speaker 1: and a big lead right now on the Democratic side. 962 00:50:58,560 --> 00:51:00,000 Speaker 1: Let's go ahead and put this up on the screen. 963 00:51:00,600 --> 00:51:02,600 Speaker 1: This is from the Philadelphia in Choir. They say John 964 00:51:02,640 --> 00:51:05,400 Speaker 1: Fetterman has a big lead in the Pennsylvania Senate primary 965 00:51:05,400 --> 00:51:08,400 Speaker 1: on the Democratic side. Will attax matter with six weeks 966 00:51:08,719 --> 00:51:13,200 Speaker 1: to go? He is facing the big contender against him, 967 00:51:13,400 --> 00:51:17,719 Speaker 1: is this sort of like Corporatus blue dog Democrat Connor Lamb. 968 00:51:17,760 --> 00:51:21,920 Speaker 1: He's a member of Congress right now, and Lamb went 969 00:51:22,040 --> 00:51:24,960 Speaker 1: up a super pac affiliated with Connor Lamb went up 970 00:51:24,960 --> 00:51:27,880 Speaker 1: with this big ad trashing Fetterman, saying he's like a 971 00:51:27,880 --> 00:51:30,080 Speaker 1: socialist and he won't be able to win in the fall, 972 00:51:30,239 --> 00:51:32,640 Speaker 1: same old playbook that they run against anyone who's even 973 00:51:32,760 --> 00:51:35,560 Speaker 1: like moderate lead to the left whatsoever. But at this 974 00:51:35,719 --> 00:51:38,560 Speaker 1: point Fetterman has such a lead in the primary. The 975 00:51:38,640 --> 00:51:40,440 Speaker 1: last poll that I saw had him at thirty three 976 00:51:40,480 --> 00:51:43,120 Speaker 1: percent of the Democratic primary, followed by Connor Lamb with 977 00:51:43,200 --> 00:51:46,239 Speaker 1: ten percent, so a big gap there. There are still 978 00:51:46,239 --> 00:51:48,479 Speaker 1: a lot of undecided voters, but if you dig into 979 00:51:48,480 --> 00:51:51,120 Speaker 1: those undecided voters, very few of them are actually leaning 980 00:51:51,160 --> 00:51:54,160 Speaker 1: towards Lamb, so it looks like it's Fetterman's race to lose. 981 00:51:55,000 --> 00:51:58,200 Speaker 1: The DC establishment is actually lining up behind this guy 982 00:51:58,320 --> 00:52:01,080 Speaker 1: and trying to tell Connor Lamb to chill out so 983 00:52:01,120 --> 00:52:03,480 Speaker 1: they don't damage him for the fall. Let's go and 984 00:52:03,480 --> 00:52:06,640 Speaker 1: put this up on the screen. DC Dems get on 985 00:52:06,680 --> 00:52:09,760 Speaker 1: a front runner Fetterman's way. In Pennsylvania and his previous runs, 986 00:52:09,760 --> 00:52:11,880 Speaker 1: they were sort of oppositional towards him because he does 987 00:52:12,000 --> 00:52:14,439 Speaker 1: come from War of the Bernie wing. The party backs 988 00:52:14,480 --> 00:52:16,799 Speaker 1: medicare for all of those sorts of things. But now 989 00:52:16,840 --> 00:52:19,480 Speaker 1: because he has said to a formidable lead. Party leaders 990 00:52:19,480 --> 00:52:22,640 Speaker 1: on Tuesday, they say heard private concerns about a pro 991 00:52:22,800 --> 00:52:25,000 Speaker 1: Lamb super pac after the group's slam Fetterman as a 992 00:52:25,000 --> 00:52:27,960 Speaker 1: self described Democratic socialist, a claim that led to the 993 00:52:27,960 --> 00:52:30,840 Speaker 1: ad being pulled from one TV station. That's how dishonest 994 00:52:30,920 --> 00:52:33,719 Speaker 1: it was. Senator Warren raised the ad during a Democratic 995 00:52:33,719 --> 00:52:36,239 Speaker 1: Caucus meeting on Tuesday, and JORDI leader Chuck Schumer and 996 00:52:36,280 --> 00:52:40,359 Speaker 1: Democratic Sedatorial Campaign Committee chair Gary Peters said they were 997 00:52:40,440 --> 00:52:45,320 Speaker 1: quote addressing the issue, and Elizabeth Warren also said publicly, 998 00:52:45,480 --> 00:52:47,840 Speaker 1: I saw the pack ad that is currently running in Pennsylvania. 999 00:52:47,840 --> 00:52:50,120 Speaker 1: It is wrong, it is disgusting, and if Connor Lamb 1000 00:52:50,160 --> 00:52:51,960 Speaker 1: wants to stand up as a Democrat, then he needs 1001 00:52:52,000 --> 00:52:56,359 Speaker 1: to disavout that ad today. So an unusual instance of 1002 00:52:56,440 --> 00:52:59,880 Speaker 1: the Democratic establishment backing someone who is at least purportedly 1003 00:53:00,040 --> 00:53:01,720 Speaker 1: on the left. Although I saw a bunch of headlines 1004 00:53:01,719 --> 00:53:03,880 Speaker 1: this morning about the way that he's like, you know, 1005 00:53:04,040 --> 00:53:06,799 Speaker 1: prostrating himself to make sure he's like, I'm super pro 1006 00:53:06,960 --> 00:53:08,759 Speaker 1: Israel and I'm not going to rock the boat. So 1007 00:53:08,840 --> 00:53:12,200 Speaker 1: he's trying to shore up that support. Listen, In terms 1008 00:53:12,239 --> 00:53:15,680 Speaker 1: of the prospects in the fall, I think it's going 1009 00:53:15,719 --> 00:53:17,600 Speaker 1: to be very difficult for a Democrat to win in 1010 00:53:17,600 --> 00:53:20,760 Speaker 1: Pennsylvania year. I mean, it's a true swing state. Biden 1011 00:53:20,880 --> 00:53:23,360 Speaker 1: barely want it, as we all know, is very close, 1012 00:53:23,800 --> 00:53:28,239 Speaker 1: and the landscape is just really difficult. So even though 1013 00:53:28,800 --> 00:53:30,400 Speaker 1: right now the polls might say and a head to 1014 00:53:30,440 --> 00:53:33,840 Speaker 1: head matchup Fetterman versus Oz that he's got an edge, 1015 00:53:34,400 --> 00:53:37,680 Speaker 1: I think it's a I think it's pretty tough sledding. 1016 00:53:37,760 --> 00:53:39,600 Speaker 1: And it pains me to say that because you know 1017 00:53:39,640 --> 00:53:41,640 Speaker 1: some of some of what Fetterman's done in some of 1018 00:53:41,680 --> 00:53:44,880 Speaker 1: his policy positions, et cetera. I really like and really appreciate, 1019 00:53:44,920 --> 00:53:47,480 Speaker 1: But I just think the landscape doesn't really matter that 1020 00:53:47,560 --> 00:53:50,200 Speaker 1: much about these two individual candidates. It's just a very 1021 00:53:50,239 --> 00:53:52,840 Speaker 1: tough landscape for Democrat. Yeah, I think that's right. I mean, look, 1022 00:53:52,880 --> 00:53:55,480 Speaker 1: at the end of the day, it's a terrible landscape. Fetterman, 1023 00:53:55,640 --> 00:53:59,160 Speaker 1: he's probably a powerful candidate. He has obviously won statewide. 1024 00:53:59,200 --> 00:54:01,000 Speaker 1: At the same time, guy doesn't seem to make a 1025 00:54:01,000 --> 00:54:05,279 Speaker 1: sentence without the words LGBTQ. So good luck, especially in 1026 00:54:05,320 --> 00:54:09,000 Speaker 1: this environment. I think that against Oz, especially somebody who's 1027 00:54:09,200 --> 00:54:11,640 Speaker 1: Oz is not a right wing culture warrior. He's somebody 1028 00:54:11,680 --> 00:54:14,840 Speaker 1: who can really lean into the COVID, the COVID talking 1029 00:54:14,880 --> 00:54:16,959 Speaker 1: points of terms of there was a great Wall Street 1030 00:54:17,000 --> 00:54:19,560 Speaker 1: journal piece, maybe we'll cover it tomorrow call the Long 1031 00:54:19,640 --> 00:54:23,839 Speaker 1: COVID Effect on politics, which is basically suburban people who 1032 00:54:23,920 --> 00:54:26,520 Speaker 1: were fed up around school closures and around restrictions and 1033 00:54:26,520 --> 00:54:30,239 Speaker 1: are remembering it even now months later. Obviously inflation is 1034 00:54:30,280 --> 00:54:32,400 Speaker 1: going to be a top one as well. Put it 1035 00:54:32,440 --> 00:54:36,320 Speaker 1: all together, it's a terrible national environment. But the magup 1036 00:54:36,440 --> 00:54:38,920 Speaker 1: fight part of this is just the most funny one. 1037 00:54:38,960 --> 00:54:40,960 Speaker 1: And don't worry, I'm sure David McCormick is going to 1038 00:54:41,000 --> 00:54:43,880 Speaker 1: burn a ton of his millions and billions of dollars 1039 00:54:44,080 --> 00:54:46,440 Speaker 1: still trying to win this primary. So yeah, it is 1040 00:54:46,520 --> 00:54:49,399 Speaker 1: not over. Yeah, well listen, Like I said, I think 1041 00:54:49,440 --> 00:54:52,759 Speaker 1: Fetterman is as far as Democratic candidate's I think it's 1042 00:54:52,760 --> 00:54:54,400 Speaker 1: a pretty strong Canada. I mean, I think that's what 1043 00:54:54,480 --> 00:54:57,680 Speaker 1: the polling shows. People in Pennsylvania like him. I think 1044 00:54:57,719 --> 00:55:00,279 Speaker 1: he projects a lot of strength. I think, you know, 1045 00:55:00,360 --> 00:55:03,200 Speaker 1: he was a mayor of a small town that was 1046 00:55:03,200 --> 00:55:09,839 Speaker 1: decimated by globalization and by NAFTA, and so you know, 1047 00:55:09,880 --> 00:55:12,480 Speaker 1: he has a lot of credibility and frankly, just his 1048 00:55:12,600 --> 00:55:16,680 Speaker 1: persona is, you know, really quite compelling and quite unusual. 1049 00:55:16,800 --> 00:55:18,160 Speaker 1: You know, this is a guy who shows up to 1050 00:55:18,200 --> 00:55:21,960 Speaker 1: every event in like yeah and like shorts and really 1051 00:55:22,000 --> 00:55:26,000 Speaker 1: comes across as like that everyman. I just don't know 1052 00:55:26,280 --> 00:55:30,320 Speaker 1: that candidates matter that much when you have a national landscape. 1053 00:55:30,440 --> 00:55:31,800 Speaker 1: I hate to say it, but when you have a 1054 00:55:31,880 --> 00:55:35,200 Speaker 1: national landscape that is as bad for Democrats as it 1055 00:55:35,239 --> 00:55:40,239 Speaker 1: is right now, the particular characteristics or policy positions of 1056 00:55:40,280 --> 00:55:43,759 Speaker 1: either doctor Oz or John Fetterman are probably going to 1057 00:55:43,840 --> 00:55:46,000 Speaker 1: matter a lot less than the fact that Joe Biden's 1058 00:55:46,040 --> 00:55:48,640 Speaker 1: approval rating really super sucks and people are paying a 1059 00:55:48,680 --> 00:55:50,399 Speaker 1: lot of money at the gas pump. I think that's 1060 00:55:50,400 --> 00:55:52,440 Speaker 1: the reality of the Yeah. We covered one of the 1061 00:55:52,640 --> 00:55:55,120 Speaker 1: segments we do on Rising, which I'll always remember, was 1062 00:55:55,160 --> 00:55:59,400 Speaker 1: the decline in candidate quality from overall election analysis in 1063 00:55:59,440 --> 00:56:01,719 Speaker 1: two thousand and ten. It just doesn't matter that much. Yeah, 1064 00:56:01,760 --> 00:56:05,600 Speaker 1: it says almost all national conditions not great. Okay, let's 1065 00:56:05,600 --> 00:56:07,919 Speaker 1: go ahead and move on to Shanghai. This is something 1066 00:56:07,960 --> 00:56:10,760 Speaker 1: I've been watching with a lot of interest. The city 1067 00:56:10,800 --> 00:56:15,239 Speaker 1: of Shanghai right now is in a dystopian, nightmarish lockdown. 1068 00:56:15,280 --> 00:56:18,520 Speaker 1: And it all really began in the last couple of days, 1069 00:56:18,600 --> 00:56:22,880 Speaker 1: as food deliveries began to run out within the city. 1070 00:56:23,160 --> 00:56:26,200 Speaker 1: The first sign that things were not great over there 1071 00:56:26,560 --> 00:56:30,239 Speaker 1: was this leaked video taken from a balcony in Shanghai. 1072 00:56:30,400 --> 00:56:34,000 Speaker 1: We verified the translation for those who are just listening. 1073 00:56:34,280 --> 00:56:38,400 Speaker 1: A drone is passing over the city asking residents to 1074 00:56:38,440 --> 00:56:42,400 Speaker 1: go back into their balconies, saying, quote, please comply with 1075 00:56:42,520 --> 00:56:47,200 Speaker 1: COVID restrictions, control your soul's desire for freedom. Do not 1076 00:56:47,400 --> 00:57:03,200 Speaker 1: open the window or sing let's take a listen. Thank you. Yeah, 1077 00:57:03,239 --> 00:57:06,760 Speaker 1: I mean that's as controlling your soul's desire for freedom Crystal. 1078 00:57:06,880 --> 00:57:09,319 Speaker 1: It's only gotten worse since that video came out. That 1079 00:57:09,400 --> 00:57:11,920 Speaker 1: was five days ago. As I was explaining earlier in 1080 00:57:11,960 --> 00:57:15,520 Speaker 1: the show, Chinese people do not eat the same level 1081 00:57:15,520 --> 00:57:19,560 Speaker 1: of process and frozen food, so that requires consistent visits 1082 00:57:19,560 --> 00:57:22,400 Speaker 1: to the market and food deliveries in order to feed them. 1083 00:57:22,520 --> 00:57:26,080 Speaker 1: That is a massive logistical challenge. When current Shanghai city 1084 00:57:26,120 --> 00:57:30,600 Speaker 1: lockdown regulations say you cannot even leave your apartment door. 1085 00:57:30,920 --> 00:57:32,720 Speaker 1: You could used to be able to at least leave 1086 00:57:32,880 --> 00:57:35,360 Speaker 1: within the building to go pick up deliveries. Now these 1087 00:57:35,440 --> 00:57:39,120 Speaker 1: deliveries are a total nightmare. They're either coordinated by the government. 1088 00:57:39,800 --> 00:57:42,480 Speaker 1: About three or four orders that people are placing per 1089 00:57:42,560 --> 00:57:45,600 Speaker 1: day are just being canceled because of the inability to deliver. 1090 00:57:45,880 --> 00:57:48,040 Speaker 1: The other one is requiring a whole bunch of black 1091 00:57:48,040 --> 00:57:50,560 Speaker 1: market trading. Some people have access to groceries in this 1092 00:57:50,600 --> 00:57:52,520 Speaker 1: part of the city, they're selling them to other people 1093 00:57:52,600 --> 00:57:54,800 Speaker 1: in this part of the city. It's a total disaster. 1094 00:57:55,160 --> 00:57:58,920 Speaker 1: People are putting empty fridges out on their balconies as 1095 00:57:58,960 --> 00:58:01,800 Speaker 1: a symbol of protests against the government, and there's a 1096 00:58:01,840 --> 00:58:04,480 Speaker 1: lot of people who are running out of food. All 1097 00:58:04,520 --> 00:58:07,440 Speaker 1: of this is because Shanghai is totally committed to a 1098 00:58:07,480 --> 00:58:10,120 Speaker 1: COVID zero policy, which is that they are going to 1099 00:58:10,160 --> 00:58:12,720 Speaker 1: lock the city down as long as it takes in 1100 00:58:12,800 --> 00:58:16,080 Speaker 1: order to have zero COVID. Here's the thing the Chinese 1101 00:58:16,120 --> 00:58:18,680 Speaker 1: government has put himself in a real binds have explained 1102 00:58:18,720 --> 00:58:23,080 Speaker 1: here before. Number one, their elderly population is not even 1103 00:58:23,160 --> 00:58:26,600 Speaker 1: close as vaccinated as ours now. The reason why is 1104 00:58:26,600 --> 00:58:29,280 Speaker 1: because a lot of them thought that zero COVID was 1105 00:58:29,320 --> 00:58:33,040 Speaker 1: going to work, because with previous strains, both Delta and 1106 00:58:33,080 --> 00:58:36,520 Speaker 1: the original COVID, you know, lockdowns as China did, it 1107 00:58:36,520 --> 00:58:40,600 Speaker 1: actually did kind of work. But Amicron is so transmissible 1108 00:58:40,800 --> 00:58:43,480 Speaker 1: that they now have twenty five thousand i think admitted 1109 00:58:43,520 --> 00:58:45,360 Speaker 1: cases of COVID, which means you have tens and tens 1110 00:58:45,360 --> 00:58:48,440 Speaker 1: of thousands, if not millions of more. This current lockdown 1111 00:58:48,480 --> 00:58:50,560 Speaker 1: policy is not going to work. So they have an 1112 00:58:50,560 --> 00:58:54,080 Speaker 1: elderly population which is not as vaccinated. Their general population 1113 00:58:54,160 --> 00:58:57,280 Speaker 1: also not nearly as vaccinated Sino farm and sinovac. The 1114 00:58:57,360 --> 00:59:01,600 Speaker 1: vaccine who they've created is also not particularly effective against 1115 00:59:01,640 --> 00:59:04,760 Speaker 1: even original COVID, let alone omicron, So they're in a 1116 00:59:04,760 --> 00:59:07,440 Speaker 1: real catch twenty two. They can either do lockdown an 1117 00:59:07,480 --> 00:59:10,560 Speaker 1: ineffective one, or they've condemned a lot of their elderly 1118 00:59:10,600 --> 00:59:14,440 Speaker 1: population to death by emphasizing zero COVID instead of vaccination. 1119 00:59:14,760 --> 00:59:17,360 Speaker 1: So you put all of that together. They're obviously in 1120 00:59:17,400 --> 00:59:21,320 Speaker 1: a tough spot, but the population is suffering to a 1121 00:59:21,400 --> 00:59:24,240 Speaker 1: degree that is really difficult to comprehend. And we are 1122 00:59:24,280 --> 00:59:28,040 Speaker 1: seeing extraordinary scenes out of the city of Shanghai. We're 1123 00:59:28,040 --> 00:59:31,680 Speaker 1: about to show you a clip of residents millions of 1124 00:59:31,680 --> 00:59:35,600 Speaker 1: people sitting on their city balconies who are screaming and 1125 00:59:35,640 --> 00:59:39,840 Speaker 1: singing for freedom from their balconies. This is going to 1126 00:59:39,880 --> 00:59:42,400 Speaker 1: be in Shanghai knees. So we're only going to play 1127 00:59:42,560 --> 00:59:44,680 Speaker 1: a couple of seconds for those who are just listening, 1128 00:59:44,760 --> 00:59:46,080 Speaker 1: but just to give you a taste, this is what 1129 00:59:46,120 --> 00:59:52,000 Speaker 1: it sounds like in the city at night. Because it's 1130 00:59:52,000 --> 00:59:56,560 Speaker 1: a that y'all, I'm not that anai them. The guy 1131 00:59:56,560 --> 00:59:58,520 Speaker 1: who's speaking there is basically saying he because I don't 1132 00:59:58,520 --> 01:00:01,400 Speaker 1: think people can hold out much. He says that there's tragedy. 1133 01:00:01,480 --> 01:00:03,400 Speaker 1: So there's some videos that are surfacing out of China 1134 01:00:03,480 --> 01:00:05,920 Speaker 1: this morning, crystal of the Chinese military which is being 1135 01:00:05,960 --> 01:00:08,760 Speaker 1: deployed in the streets of Shanghai. Now you put that 1136 01:00:08,840 --> 01:00:11,920 Speaker 1: all together, and this is a real dangerous situation. I 1137 01:00:11,920 --> 01:00:14,000 Speaker 1: don't think the Chinese government is going to back down. 1138 01:00:14,040 --> 01:00:16,640 Speaker 1: They've never back down in the past. People should remember, 1139 01:00:16,680 --> 01:00:18,600 Speaker 1: we probably have a better idea of what's happened in 1140 01:00:18,600 --> 01:00:20,920 Speaker 1: Shanghai than people in Beijing and in the rest of 1141 01:00:20,960 --> 01:00:23,560 Speaker 1: the country, just because of the Chinese government's ability in 1142 01:00:23,640 --> 01:00:26,479 Speaker 1: order to crack down in the Beijing equivalent of times 1143 01:00:26,520 --> 01:00:29,240 Speaker 1: square or whatever. There were signs this morning saying don't 1144 01:00:29,240 --> 01:00:31,920 Speaker 1: believe everything you see on social media and do not 1145 01:00:32,040 --> 01:00:35,400 Speaker 1: share viral videos. So these are all being put out 1146 01:00:35,440 --> 01:00:40,520 Speaker 1: to the population though actually pretty good, But the most 1147 01:00:40,560 --> 01:00:43,520 Speaker 1: dystopian one that I've seen yet is this policy. Let's 1148 01:00:43,520 --> 01:00:45,880 Speaker 1: put this up there on the screen. Health officials in 1149 01:00:45,960 --> 01:00:50,680 Speaker 1: Shanghai are defending the policy of separating babies and young 1150 01:00:50,840 --> 01:00:55,120 Speaker 1: children from their parents if they test positive for COVID nineteen. 1151 01:00:55,520 --> 01:00:59,920 Speaker 1: So they are literally taking children who are testing positive 1152 01:01:00,080 --> 01:01:03,160 Speaker 1: for COVID and receiving treatment in a public health center. 1153 01:01:03,200 --> 01:01:05,960 Speaker 1: They even say this, this is a direct quote. If 1154 01:01:05,960 --> 01:01:08,479 Speaker 1: the child is younger than seven, those children will receive 1155 01:01:08,520 --> 01:01:11,560 Speaker 1: treatment in the public health center. For older children, we 1156 01:01:11,640 --> 01:01:15,240 Speaker 1: will just mainly isolate them in centralized quarantine places. Some 1157 01:01:15,280 --> 01:01:17,880 Speaker 1: of the reports out of those quarantine places are nightmares, 1158 01:01:18,000 --> 01:01:21,480 Speaker 1: not enough food, not so bad, sleeping conditions, toilets, all 1159 01:01:21,520 --> 01:01:24,120 Speaker 1: of that. So this is a total I mean, it 1160 01:01:24,200 --> 01:01:29,400 Speaker 1: is difficult to comprehend the level of dystopian disaster. We're 1161 01:01:29,400 --> 01:01:31,680 Speaker 1: talking about people who are kneeling in the street as 1162 01:01:31,720 --> 01:01:34,920 Speaker 1: people come by and check their ID passes, who're swabbing 1163 01:01:34,920 --> 01:01:37,760 Speaker 1: them constantly. I mean, this is the full stuff of 1164 01:01:37,880 --> 01:01:40,880 Speaker 1: nightmares of authoritarian lockdow. Yeah, And I think the reason 1165 01:01:41,040 --> 01:01:45,400 Speaker 1: why it matters is obviously out of empathy for the 1166 01:01:45,440 --> 01:01:48,360 Speaker 1: people who are suffering there and are scared, and the 1167 01:01:48,440 --> 01:01:50,800 Speaker 1: children who are being taken from their parents against their 1168 01:01:50,840 --> 01:01:53,760 Speaker 1: will and all of that. But I also think at 1169 01:01:53,800 --> 01:01:57,960 Speaker 1: the beginning of COVID, when China really crack down and 1170 01:01:58,000 --> 01:02:01,360 Speaker 1: they quickly erected these hospitals and they forced every stay 1171 01:02:01,360 --> 01:02:04,120 Speaker 1: in their homes and were very very sort of stringent 1172 01:02:04,200 --> 01:02:06,040 Speaker 1: in what they were doing, as best we could tell 1173 01:02:06,080 --> 01:02:10,520 Speaker 1: from here, there was almost like an envy of their 1174 01:02:10,560 --> 01:02:16,600 Speaker 1: ability to take those sorts of super aggressive authoritarian actions. Yeah. Right, 1175 01:02:16,800 --> 01:02:21,080 Speaker 1: And there was a kind of weird horseshoe between people 1176 01:02:21,240 --> 01:02:24,080 Speaker 1: like right wing people who are kind of like authoritarian 1177 01:02:24,200 --> 01:02:28,880 Speaker 1: curious and left wing super pro lockdown folks that were 1178 01:02:28,960 --> 01:02:32,840 Speaker 1: kind of jealous of what was being done in China ultimately, 1179 01:02:32,880 --> 01:02:36,400 Speaker 1: and I think now we see the ugly face of 1180 01:02:36,400 --> 01:02:39,600 Speaker 1: that and the fact that they only focused on what 1181 01:02:39,760 --> 01:02:45,080 Speaker 1: is a completely unrealistic and frankly anti scientific policy of 1182 01:02:45,320 --> 01:02:49,040 Speaker 1: zero COVID that has not worked in one place in 1183 01:02:49,080 --> 01:02:54,520 Speaker 1: the entire world, rather than focusing on vaccination in making 1184 01:02:54,560 --> 01:02:59,760 Speaker 1: sure that especially vulnerable elderly populations of which China has 1185 01:02:59,800 --> 01:03:04,040 Speaker 1: a large proportion, making sure that they were protected, you know, 1186 01:03:04,360 --> 01:03:09,240 Speaker 1: with the highly effective vaccines that we now have, that 1187 01:03:09,280 --> 01:03:14,760 Speaker 1: has led to just an unfolding disaster of catastrophic consequences. 1188 01:03:15,000 --> 01:03:18,040 Speaker 1: And you know, now it's as you said, it's it's 1189 01:03:18,040 --> 01:03:20,440 Speaker 1: too late because even if they shifted now, okay, well 1190 01:03:20,520 --> 01:03:22,680 Speaker 1: let's just go out and get a ready vaccinate, that 1191 01:03:22,840 --> 01:03:25,040 Speaker 1: takes a lot of time, and so in the meantime 1192 01:03:25,440 --> 01:03:29,160 Speaker 1: you're going to have a lot of severe illness and 1193 01:03:29,280 --> 01:03:32,280 Speaker 1: a lot of death among an elderly population that is 1194 01:03:32,400 --> 01:03:35,800 Speaker 1: dramatically under vaccinated. Yeah, I mean, I'll repeat it again. 1195 01:03:36,040 --> 01:03:39,360 Speaker 1: Only half of Chinese aged eighty and older are fully 1196 01:03:39,440 --> 01:03:43,480 Speaker 1: vaccinated against COVID. Half And that's where listen, we haven't 1197 01:03:43,520 --> 01:03:46,720 Speaker 1: done raised job in the world on vaccination here because 1198 01:03:46,840 --> 01:03:49,160 Speaker 1: of our own government's policy and a deep strain of 1199 01:03:49,320 --> 01:03:53,040 Speaker 1: anti vac sentiment within the country. But our elderly population 1200 01:03:53,200 --> 01:03:56,480 Speaker 1: is almost one hundred percent at least one shot almost 1201 01:03:56,520 --> 01:03:59,440 Speaker 1: one hundred percent. So on that metric, and that was 1202 01:03:59,560 --> 01:04:02,920 Speaker 1: the key age group, we have done much, much, much rich, 1203 01:04:03,000 --> 01:04:04,439 Speaker 1: and those are the people who are gonna die. Let's 1204 01:04:04,440 --> 01:04:08,400 Speaker 1: be honest, those people have a vague way higher a 1205 01:04:08,480 --> 01:04:11,480 Speaker 1: chance of actually dying from COVID. And listen to this. 1206 01:04:11,600 --> 01:04:13,960 Speaker 1: Of the two hundred and sixty four million Chinese age 1207 01:04:14,000 --> 01:04:17,600 Speaker 1: over sixty fifty two are yet to be fully fifty 1208 01:04:17,600 --> 01:04:20,240 Speaker 1: two million are yet to be fully vaccinated. That's one 1209 01:04:20,360 --> 01:04:22,600 Speaker 1: sixth of the population. Yeah, you're not gonna not your fingers. 1210 01:04:23,160 --> 01:04:25,360 Speaker 1: It's impossible. Think it takes a month in order to 1211 01:04:25,400 --> 01:04:27,800 Speaker 1: do two doses. What are you gonna do. Amicron is 1212 01:04:27,800 --> 01:04:30,280 Speaker 1: going to outpace this thing. It's going to burn through 1213 01:04:30,280 --> 01:04:34,120 Speaker 1: the entire country. And look, we have rural hospital problems, 1214 01:04:34,120 --> 01:04:36,280 Speaker 1: but not even close to the level of China. So 1215 01:04:36,280 --> 01:04:39,200 Speaker 1: they're about to get flooded. They are going fully on 1216 01:04:39,240 --> 01:04:42,040 Speaker 1: the lockdown. Here's an update actually from an American guy 1217 01:04:42,120 --> 01:04:44,040 Speaker 1: who lives in Shanghai. Let's put this up there on 1218 01:04:44,080 --> 01:04:47,160 Speaker 1: the screen. He says, day twenty two of my Shanghai lockdown, 1219 01:04:47,360 --> 01:04:50,560 Speaker 1: as we feared yesterday, we have new restrictions. Before we 1220 01:04:50,560 --> 01:04:52,880 Speaker 1: were allowed to leave our building, but not our community 1221 01:04:52,920 --> 01:04:55,520 Speaker 1: to get deliveries. No more. Now we are not allowed 1222 01:04:55,560 --> 01:04:58,040 Speaker 1: out of our apartment door. He references how he has 1223 01:04:58,080 --> 01:05:00,760 Speaker 1: to don a full hazmat suit in order to go 1224 01:05:00,800 --> 01:05:03,640 Speaker 1: down and get some deliveries. He's a volunteer who's allowed 1225 01:05:03,640 --> 01:05:06,840 Speaker 1: to like basically go door to door. But he points 1226 01:05:06,840 --> 01:05:10,720 Speaker 1: it out again, which is that his situation is bad 1227 01:05:10,880 --> 01:05:13,760 Speaker 1: and many of his neighbors and others because of groceries 1228 01:05:13,800 --> 01:05:16,320 Speaker 1: and their inability in order to get food. I reference this, 1229 01:05:16,440 --> 01:05:19,120 Speaker 1: but he says, for my family, we had three deliveries 1230 01:05:19,120 --> 01:05:21,680 Speaker 1: that were booked to deliver today, two group purchases of 1231 01:05:21,720 --> 01:05:25,320 Speaker 1: meat and seafood and one individual purchase of soap and shampoo. 1232 01:05:25,680 --> 01:05:28,480 Speaker 1: All three were canceled. We eventually were able to get 1233 01:05:28,520 --> 01:05:31,080 Speaker 1: a delivery from a friend in another part of the 1234 01:05:31,120 --> 01:05:34,240 Speaker 1: city who had better access to groceries. There are reports 1235 01:05:34,280 --> 01:05:37,760 Speaker 1: out there of black market level prices for food, which 1236 01:05:37,800 --> 01:05:40,240 Speaker 1: means that the poor people who live in Shanghai are 1237 01:05:40,240 --> 01:05:43,880 Speaker 1: screwed as usual, and they're not able to eat, and 1238 01:05:43,920 --> 01:05:46,840 Speaker 1: you know, going to have to have subpar nutrition for 1239 01:05:46,880 --> 01:05:50,560 Speaker 1: their themselves and for their kids. Who knows how long 1240 01:05:50,560 --> 01:05:53,080 Speaker 1: this thing is going to last. I mean, the Chinese 1241 01:05:53,080 --> 01:05:56,280 Speaker 1: government they don't back down there. There's no way this 1242 01:05:56,400 --> 01:05:59,520 Speaker 1: level of social strife. You know, everybody here would fold 1243 01:05:59,640 --> 01:06:01,800 Speaker 1: no matter or what. But over there they're going to 1244 01:06:01,840 --> 01:06:05,360 Speaker 1: call in the military. They are going to enforce full compliance. 1245 01:06:05,640 --> 01:06:08,600 Speaker 1: And we saw this in very limited instances actually in Wuhan. 1246 01:06:08,920 --> 01:06:11,480 Speaker 1: Sometimes if people in the building had COVID, they just 1247 01:06:11,480 --> 01:06:13,680 Speaker 1: steal off the building, and if some people in there died, 1248 01:06:13,720 --> 01:06:15,600 Speaker 1: it was like, well, you know, so be it. There 1249 01:06:15,600 --> 01:06:17,640 Speaker 1: were a lot of reports of that, and this is 1250 01:06:17,640 --> 01:06:21,200 Speaker 1: what full communist collectivism really looks like whenever it comes 1251 01:06:21,200 --> 01:06:25,120 Speaker 1: to enforcement. It's such a sad situation. There are thirty 1252 01:06:25,240 --> 01:06:28,920 Speaker 1: million people live in shape. This is what full authoritarianism is, 1253 01:06:28,960 --> 01:06:33,320 Speaker 1: not any you know, backed by any ideology. And yeah, again, 1254 01:06:33,560 --> 01:06:36,680 Speaker 1: I think there was a lot of sort of triumphalism, 1255 01:06:36,720 --> 01:06:40,080 Speaker 1: both coming from China but also from Western observers looking 1256 01:06:40,120 --> 01:06:42,400 Speaker 1: at what they were able to do and say I 1257 01:06:42,440 --> 01:06:46,040 Speaker 1: wish we had that. No you don't, no, you don't listen. 1258 01:06:46,280 --> 01:06:48,640 Speaker 1: I mean, we've got a long way to go to 1259 01:06:48,720 --> 01:06:51,640 Speaker 1: have a real true democracy here, but at least the 1260 01:06:51,720 --> 01:06:55,560 Speaker 1: say of the people mean something, and I will take 1261 01:06:55,560 --> 01:06:58,480 Speaker 1: that and all of the strife and the messiness that 1262 01:06:58,480 --> 01:07:01,880 Speaker 1: that entails on a daily basis over drone circling overhead, 1263 01:07:02,240 --> 01:07:07,600 Speaker 1: fantastising you for your soul wanting freedom, speaking of soul's 1264 01:07:07,600 --> 01:07:10,920 Speaker 1: wanting freedom, New York Times journalists, this is kind of 1265 01:07:10,960 --> 01:07:13,120 Speaker 1: this is interesting. I'm actually curious what Hager's going to 1266 01:07:13,120 --> 01:07:15,040 Speaker 1: say about this. Let's put this up on the screen. 1267 01:07:15,280 --> 01:07:18,160 Speaker 1: So New York Times Executive editor Dean mackay has issued 1268 01:07:18,200 --> 01:07:21,320 Speaker 1: a Twitter reset for the newsroom, urging reporters to quote 1269 01:07:21,320 --> 01:07:24,560 Speaker 1: meaningfully reduce their Twitter time and reminding them that tweets 1270 01:07:24,560 --> 01:07:28,280 Speaker 1: and sub tweets attacking or undermining their colleagues are not allowed. 1271 01:07:28,640 --> 01:07:31,200 Speaker 1: Let me read you a little bit from this memo 1272 01:07:31,400 --> 01:07:34,520 Speaker 1: that went out to all of the Times journalists. They say, 1273 01:07:34,640 --> 01:07:37,320 Speaker 1: we can rely too much on Twitter as a reporting 1274 01:07:37,440 --> 01:07:40,840 Speaker 1: or feedback tool, which is especially harmful to our journalism 1275 01:07:40,840 --> 01:07:43,360 Speaker 1: when our feeds become echo chambers. We can be overly 1276 01:07:43,400 --> 01:07:45,720 Speaker 1: focused on how Twitter will react to our work, to 1277 01:07:45,880 --> 01:07:48,400 Speaker 1: the detriment of our mission and independence, we can make 1278 01:07:48,480 --> 01:07:51,680 Speaker 1: off the cuff responses that damage our journalistic reputations. And 1279 01:07:51,720 --> 01:07:53,960 Speaker 1: for too many of you, your experience of Twitter is 1280 01:07:54,000 --> 01:07:57,520 Speaker 1: shaped by harassment and attacks. Okay, if you do choose 1281 01:07:57,560 --> 01:07:59,160 Speaker 1: to stay on, so they're not saying like you have 1282 01:07:59,200 --> 01:08:01,040 Speaker 1: to get off. But if you do, Chase choose to 1283 01:08:01,080 --> 01:08:03,840 Speaker 1: stay on, we encourage you to meaningfully reduce how much 1284 01:08:03,880 --> 01:08:06,000 Speaker 1: time you're spending on the platform tweeting or scrolling in 1285 01:08:06,040 --> 01:08:08,160 Speaker 1: relation to other parts of your job. So you might 1286 01:08:08,160 --> 01:08:10,480 Speaker 1: hear that and say, oh, right, well, that's kind of reasonable. 1287 01:08:10,520 --> 01:08:12,600 Speaker 1: I mean, to be honest with you, like I've scaled 1288 01:08:12,640 --> 01:08:15,920 Speaker 1: back my Twitter use and certainly my reading of my mentions, 1289 01:08:15,960 --> 01:08:18,040 Speaker 1: and it has been I think, both better for me 1290 01:08:18,240 --> 01:08:21,759 Speaker 1: and also helps me create better content for the show 1291 01:08:21,800 --> 01:08:24,000 Speaker 1: without all of that noise in my head. But there's 1292 01:08:24,040 --> 01:08:26,639 Speaker 1: another part of this that is kind of not so great. 1293 01:08:26,680 --> 01:08:29,439 Speaker 1: Let's put this next piece up there on the screen, 1294 01:08:29,880 --> 01:08:33,200 Speaker 1: which is at a at a sort of like you know, 1295 01:08:33,439 --> 01:08:38,200 Speaker 1: panel event, Dean McKay elaborated on what his issue with 1296 01:08:38,240 --> 01:08:40,080 Speaker 1: Twitter was, and he said, I do not like it 1297 01:08:40,120 --> 01:08:42,439 Speaker 1: when somebody at the New York Times criticizes somebody at 1298 01:08:42,439 --> 01:08:44,599 Speaker 1: the Washington Post. I don't do that in any setting. 1299 01:08:44,640 --> 01:08:48,719 Speaker 1: It makes me uncomfortable when people do that. So part 1300 01:08:48,760 --> 01:08:50,920 Speaker 1: of the mode of here, at least, and perhaps a 1301 01:08:50,960 --> 01:08:53,840 Speaker 1: lot of the motive here, is closing ranks in the 1302 01:08:53,920 --> 01:08:58,479 Speaker 1: journalism profession and not liking reporters being critical of other 1303 01:08:58,560 --> 01:09:02,000 Speaker 1: reporters when of course orders are you know, they should. 1304 01:09:02,080 --> 01:09:06,120 Speaker 1: They deserve scrutiny, and they deserve critique in plenty of instances. 1305 01:09:06,200 --> 01:09:08,639 Speaker 1: So that's a part of this that I don't like overall. 1306 01:09:08,720 --> 01:09:11,080 Speaker 1: The idea of reducing Twitter use, the idea that people's 1307 01:09:11,120 --> 01:09:13,519 Speaker 1: brains have been rotted by it and they've lost touch 1308 01:09:13,600 --> 01:09:16,960 Speaker 1: with like what happens out there in the real world. Basically, 1309 01:09:17,040 --> 01:09:20,400 Speaker 1: the you know, the dictate to go out and touch 1310 01:09:20,479 --> 01:09:23,120 Speaker 1: grass not a bad one, but using it to protect 1311 01:09:23,200 --> 01:09:25,320 Speaker 1: the other journalists and the profession, that's the part that's 1312 01:09:25,320 --> 01:09:27,439 Speaker 1: the problem. Yeah, I have nuanced thoughts on this, which 1313 01:09:27,439 --> 01:09:29,280 Speaker 1: is I don't think the problem is Twitter. By the way, 1314 01:09:29,280 --> 01:09:32,280 Speaker 1: I fully endorse. I've also dramatically reduced my Twitter. I've 1315 01:09:32,280 --> 01:09:35,240 Speaker 1: turned off all notifications for people I don't follow. So 1316 01:09:34,960 --> 01:09:37,160 Speaker 1: if you subtweet me, I don't even know. You could 1317 01:09:37,160 --> 01:09:38,840 Speaker 1: be Jeff Bezos. I don't follow you, so I have 1318 01:09:38,840 --> 01:09:42,280 Speaker 1: no idea what you're saying, and it's way better mentally 1319 01:09:42,320 --> 01:09:43,960 Speaker 1: for me in order to check out from any of 1320 01:09:43,960 --> 01:09:47,360 Speaker 1: the nonsense, bad faith criticism which is predominant on the platform. 1321 01:09:47,400 --> 01:09:49,160 Speaker 1: At the same time, it's a great way in order 1322 01:09:49,200 --> 01:09:51,680 Speaker 1: to aggregate information. Let's be honest. It's a cool news 1323 01:09:51,760 --> 01:09:54,640 Speaker 1: wire service. You get exposure to things that you wouldn't 1324 01:09:54,680 --> 01:09:56,920 Speaker 1: necessarily see, and if you do a good enough job, 1325 01:09:57,080 --> 01:09:59,240 Speaker 1: you know, especially in our line of work, it's great. 1326 01:09:59,439 --> 01:10:01,160 Speaker 1: I don't think the problem is Twitter. I think the 1327 01:10:01,160 --> 01:10:05,040 Speaker 1: problem is the journalists themselves. That really what Twitter exposed 1328 01:10:05,080 --> 01:10:10,280 Speaker 1: us to was, Oh, these people are as biased, as neoliberal, 1329 01:10:10,680 --> 01:10:14,960 Speaker 1: as insane as everybody always suspected that we were. They were, 1330 01:10:15,320 --> 01:10:17,720 Speaker 1: We just never had a clear enough view. I can 1331 01:10:17,760 --> 01:10:21,120 Speaker 1: go on to any of these people's tweets, Twitter pages, 1332 01:10:21,640 --> 01:10:24,280 Speaker 1: and even the ones who try to keep it professional 1333 01:10:24,680 --> 01:10:27,160 Speaker 1: in a time of social strife or during the election 1334 01:10:27,240 --> 01:10:30,360 Speaker 1: or whatever. It's very clear about what's going on. See. 1335 01:10:30,360 --> 01:10:32,760 Speaker 1: But I don't mind that, rather like it. Yeah, I 1336 01:10:32,760 --> 01:10:34,439 Speaker 1: would rather know, That's what I'm saying. The problem is 1337 01:10:34,439 --> 01:10:37,519 Speaker 1: not Twitter. I would rather know have that transparency. I 1338 01:10:37,520 --> 01:10:40,200 Speaker 1: think what does become a problem is to your point 1339 01:10:40,240 --> 01:10:44,040 Speaker 1: about the problem is not really Twitter. They live in 1340 01:10:44,080 --> 01:10:47,559 Speaker 1: such a bubble that then you know, it's one thing. 1341 01:10:47,600 --> 01:10:49,880 Speaker 1: If you don't live in a bubble and you have 1342 01:10:49,960 --> 01:10:53,920 Speaker 1: a wide variety of experiences and people with different ideological 1343 01:10:54,040 --> 01:10:56,160 Speaker 1: views and people who are just like normal as people 1344 01:10:56,240 --> 01:10:57,720 Speaker 1: live in their lives, like, it's the one thing. If 1345 01:10:57,720 --> 01:10:59,639 Speaker 1: you have an array of those folks in your lives 1346 01:11:00,040 --> 01:11:01,519 Speaker 1: and then you go to Twitter to see what the 1347 01:11:01,800 --> 01:11:04,559 Speaker 1: hyper online people are saying and thinking about, the wonks 1348 01:11:04,600 --> 01:11:06,880 Speaker 1: and the analysts and all of that, then you have 1349 01:11:06,920 --> 01:11:09,439 Speaker 1: a more sort of like holistic picture of what's going on. 1350 01:11:09,720 --> 01:11:12,320 Speaker 1: But if you're someone who already is in a totally 1351 01:11:12,960 --> 01:11:18,360 Speaker 1: like totally segregated bubble of elite opinion and people who 1352 01:11:18,439 --> 01:11:21,200 Speaker 1: are hyper focused and obsessed with politics, and then you 1353 01:11:21,360 --> 01:11:26,160 Speaker 1: just fueled that with another representation of that bubble on Twitter, 1354 01:11:26,520 --> 01:11:30,000 Speaker 1: which is the place for elite opinion making, then yeah, 1355 01:11:30,040 --> 01:11:32,760 Speaker 1: you're just going to end up continuing to go down 1356 01:11:33,240 --> 01:11:36,759 Speaker 1: that rabbit hole. So I don't know that getting off 1357 01:11:36,840 --> 01:11:39,840 Speaker 1: of Twitter is going to be much of a cure 1358 01:11:40,320 --> 01:11:44,040 Speaker 1: for journalists like figuring out how people and the rest 1359 01:11:44,080 --> 01:11:46,080 Speaker 1: of the country actually feel. It's always been this way, 1360 01:11:46,120 --> 01:11:48,240 Speaker 1: and this is why I don't blame Twitter. The problem 1361 01:11:48,280 --> 01:11:50,439 Speaker 1: is the people and the journalists themselves. And when I 1362 01:11:50,479 --> 01:11:52,160 Speaker 1: was saying, I agree, it's a good thing in order 1363 01:11:52,200 --> 01:11:54,360 Speaker 1: to see how biased these people are. But that's what 1364 01:11:54,400 --> 01:11:56,040 Speaker 1: they want to cover up. They're like, hey, you've got 1365 01:11:56,080 --> 01:12:00,559 Speaker 1: to stop telling people this. You're hurting our reputation and paper. Yeah, 1366 01:12:00,560 --> 01:12:03,240 Speaker 1: and stop being a little fragile flowers that they are. 1367 01:12:03,320 --> 01:12:06,639 Speaker 1: Since the beginning of Washington it has been a tiny 1368 01:12:06,720 --> 01:12:10,240 Speaker 1: little guild in the days of the nineteen sixties, the 1369 01:12:10,360 --> 01:12:13,920 Speaker 1: Washington Post editors dining with the president, the whole you know, 1370 01:12:14,000 --> 01:12:17,880 Speaker 1: all the President's men or sorry, all of the Georgetown 1371 01:12:18,000 --> 01:12:20,439 Speaker 1: set to this great book people should go and read. 1372 01:12:20,520 --> 01:12:23,639 Speaker 1: Even today, all the elite cases of people who had 1373 01:12:23,680 --> 01:12:26,840 Speaker 1: COVID in DC. They were at the Gridiron Dinner, which 1374 01:12:26,880 --> 01:12:32,639 Speaker 1: is some cringe fake secret society for elite journalists where 1375 01:12:32,640 --> 01:12:35,479 Speaker 1: they pretend they're super cool because they wear white tails, 1376 01:12:35,840 --> 01:12:37,880 Speaker 1: you know, and they're trying to reach the status of 1377 01:12:38,000 --> 01:12:40,760 Speaker 1: actually rich people in this country. So the rich people come, 1378 01:12:41,000 --> 01:12:44,040 Speaker 1: the journalists come. John Carey was there. That's where Pelosi 1379 01:12:44,080 --> 01:12:48,559 Speaker 1: apparently got COVID. Is it's always been this way our 1380 01:12:48,640 --> 01:12:52,719 Speaker 1: digital actions are just a representation of our physical social structure. 1381 01:12:52,840 --> 01:12:55,400 Speaker 1: So I don't know. Look, it's funny. I definitely think 1382 01:12:55,400 --> 01:12:58,000 Speaker 1: Twitter has brought out the worst in people, but that 1383 01:12:58,120 --> 01:13:00,720 Speaker 1: has always been there to a certain extent. So the 1384 01:13:01,280 --> 01:13:05,719 Speaker 1: problem is not Twitter, it's the journalists, it's the institutions themselves. Yeah, 1385 01:13:05,880 --> 01:13:09,960 Speaker 1: it also fits with this Twitter is not real life 1386 01:13:10,240 --> 01:13:13,200 Speaker 1: sort of like this is the new thinking about Twitter, 1387 01:13:13,560 --> 01:13:15,160 Speaker 1: and that was the idea of like, oh, this is 1388 01:13:15,200 --> 01:13:17,400 Speaker 1: part of why Biden won is because he just like 1389 01:13:17,560 --> 01:13:22,400 Speaker 1: was not online at all, and Twitter is not real life, 1390 01:13:22,479 --> 01:13:25,639 Speaker 1: but it can be useful. It can provide you with 1391 01:13:25,760 --> 01:13:29,320 Speaker 1: certain insights about what things are really touching a nerve. 1392 01:13:30,400 --> 01:13:33,840 Speaker 1: And so yeah, listen, I do want to say that. 1393 01:13:34,920 --> 01:13:37,000 Speaker 1: I think if you have any sort of a sizable 1394 01:13:37,040 --> 01:13:42,080 Speaker 1: following not reading your mentions, like not taking too much 1395 01:13:42,120 --> 01:13:44,840 Speaker 1: to heart what is going on, what's being said about you, 1396 01:13:45,200 --> 01:13:47,760 Speaker 1: I think that's the big thing. I really see this 1397 01:13:47,880 --> 01:13:51,840 Speaker 1: a lot where people get very very they basically become 1398 01:13:51,880 --> 01:13:57,000 Speaker 1: sort of psychologically broken, oh by what they're choosing to consume, 1399 01:13:57,040 --> 01:13:59,160 Speaker 1: and it's like, just don't read that crap, Like, just 1400 01:13:59,200 --> 01:14:02,280 Speaker 1: don't read it, you'd be fine. So that part of 1401 01:14:02,320 --> 01:14:06,520 Speaker 1: it is probably just a good blanket idea for everybody. 1402 01:14:06,600 --> 01:14:10,960 Speaker 1: But yeah, the instinct to protect other journalists and to 1403 01:14:11,080 --> 01:14:15,000 Speaker 1: hide the partisan biases of the journalists at the times, 1404 01:14:15,080 --> 01:14:18,920 Speaker 1: it's not a great one, absolutely, Crystal. What are you 1405 01:14:18,960 --> 01:14:20,960 Speaker 1: taking a look at? Well, Guys, Big news coming out 1406 01:14:21,000 --> 01:14:25,080 Speaker 1: of corporate America as executives publicly rage, cope, and beg 1407 01:14:25,160 --> 01:14:27,639 Speaker 1: as the union wave sweeps the nation. So these executives 1408 01:14:27,680 --> 01:14:31,360 Speaker 1: at Starbucks and an Amazon, they are spoiled, coddle babies. 1409 01:14:31,400 --> 01:14:34,479 Speaker 1: They've gotten their way at every turn for literally decades. 1410 01:14:34,520 --> 01:14:36,920 Speaker 1: They break the markets, they bought our political system, and 1411 01:14:37,000 --> 01:14:40,360 Speaker 1: they had a desperate, powerless workforce that was basically at 1412 01:14:40,360 --> 01:14:43,759 Speaker 1: their beck and call. But now workers standing shoulders shoulder 1413 01:14:43,800 --> 01:14:46,200 Speaker 1: are standing up to these decadent giants in ways we 1414 01:14:46,280 --> 01:14:48,759 Speaker 1: have never seen in our lifetimes, and they are making 1415 01:14:48,800 --> 01:14:51,760 Speaker 1: it impossible for the upper middle class customers of these 1416 01:14:51,760 --> 01:14:55,400 Speaker 1: two companies to look away from the abuse and exploit 1417 01:14:55,600 --> 01:15:00,360 Speaker 1: exploitation of their workers, creating a potentially insurmountable force. All right, 1418 01:15:00,400 --> 01:15:02,960 Speaker 1: let's start with the latest at Starbucks and the epic 1419 01:15:03,240 --> 01:15:06,880 Speaker 1: meltdown of their founder, Howard Schultz. Now, the Starbucks union 1420 01:15:06,880 --> 01:15:09,840 Speaker 1: campaign has spread like wildfire. Since that very first store 1421 01:15:09,840 --> 01:15:13,040 Speaker 1: in Buffalo voted to unionize, last week, six new stores 1422 01:15:13,080 --> 01:15:16,639 Speaker 1: held elections and workers voted yes in every single one 1423 01:15:16,680 --> 01:15:20,280 Speaker 1: of them. Starbucks Workers United has now gone sixteen out 1424 01:15:20,280 --> 01:15:23,280 Speaker 1: of seventeen for wins in these elections, and about two 1425 01:15:23,360 --> 01:15:26,600 Speaker 1: hundred stores two hundred stores in twenty nine states have 1426 01:15:26,720 --> 01:15:29,960 Speaker 1: filed for union elections. Three more votes are coming in 1427 01:15:30,160 --> 01:15:33,919 Speaker 1: just this week alone. Starbucks, though they're not just losing elections, 1428 01:15:33,920 --> 01:15:36,880 Speaker 1: they are also losing battles with the body that governs 1429 01:15:36,880 --> 01:15:40,160 Speaker 1: those elections too. The National Labor Relations for just ruled 1430 01:15:40,200 --> 01:15:44,320 Speaker 1: that Starbucks illegally retaliated against seven pro union workers that 1431 01:15:44,400 --> 01:15:48,040 Speaker 1: they fired out of a store in Memphis, Tennessee. Unfortunately, 1432 01:15:48,160 --> 01:15:50,400 Speaker 1: an RB doesn't have a lot of teeth at this point, 1433 01:15:50,479 --> 01:15:53,920 Speaker 1: but they do have a new BOWLD General Counsel who 1434 01:15:53,920 --> 01:15:55,920 Speaker 1: has said that she plans to use the powers of 1435 01:15:55,960 --> 01:16:00,200 Speaker 1: the office aggressively to have illegally fired workers quickly reinstated 1436 01:16:00,240 --> 01:16:04,639 Speaker 1: through federal court injunctions. So how is Starbucks corporate handling 1437 01:16:04,720 --> 01:16:07,840 Speaker 1: all of these developments while they are in total and 1438 01:16:07,880 --> 01:16:11,200 Speaker 1: complete freakout mode. They fired their CEO and brought back 1439 01:16:11,240 --> 01:16:14,920 Speaker 1: Starbucks founder and union buster extraordinary, Howard Schultz. They fired 1440 01:16:14,920 --> 01:16:17,840 Speaker 1: their union busting general counsel, whose legal strategies failed to 1441 01:16:17,840 --> 01:16:20,759 Speaker 1: stop the union campaign's momentum. And you know they're really 1442 01:16:20,800 --> 01:16:23,920 Speaker 1: panicked because Schultz immediately announced they were holding these stock 1443 01:16:24,000 --> 01:16:27,360 Speaker 1: buybacks that fatten the bank accounts of shareholders and of executives. 1444 01:16:27,600 --> 01:16:29,920 Speaker 1: In his first town hall, he really gave away the 1445 01:16:29,960 --> 01:16:32,599 Speaker 1: game though, crying about how the company was being quote 1446 01:16:32,680 --> 01:16:37,720 Speaker 1: assaulted by union efforts. Now Here's where it gets a 1447 01:16:37,720 --> 01:16:41,040 Speaker 1: little sensitive, because I've been coached a little bit, But 1448 01:16:41,120 --> 01:16:46,920 Speaker 1: I do want to talk about something pretty serious. We 1449 01:16:47,080 --> 01:16:51,920 Speaker 1: can't ignore what is happening in the country as it 1450 01:16:52,000 --> 01:17:00,880 Speaker 1: relates to companies throughout the country being assaulted in many 1451 01:17:00,920 --> 01:17:07,639 Speaker 1: ways by the threat of unionization. Assaulted, but the real 1452 01:17:07,760 --> 01:17:11,479 Speaker 1: public moultdown was just triggered by a pro union barista 1453 01:17:11,600 --> 01:17:14,479 Speaker 1: through their heroic efforts to push back on Schultz's lies. 1454 01:17:14,520 --> 01:17:16,920 Speaker 1: In a form for workers in the Long Beach area, 1455 01:17:17,240 --> 01:17:20,080 Speaker 1: twenty five year old Mads Hall repeatedly press Shults on 1456 01:17:20,120 --> 01:17:23,120 Speaker 1: the distance between their rhetoric claiming now we're not against 1457 01:17:23,120 --> 01:17:26,519 Speaker 1: the unions and the reality of their illegal actions firing 1458 01:17:26,560 --> 01:17:29,880 Speaker 1: workers and being sanctioned by the NLRB. Schultz first tried 1459 01:17:29,880 --> 01:17:32,360 Speaker 1: to just shut the conversation down, saying, quote, we're not 1460 01:17:32,400 --> 01:17:34,519 Speaker 1: going to talk about that now. In a different time, 1461 01:17:34,600 --> 01:17:36,800 Speaker 1: that might have worked. I mean, imagine the courage it 1462 01:17:36,800 --> 01:17:39,160 Speaker 1: takes to go up against a billionaire CEO as just 1463 01:17:39,280 --> 01:17:42,639 Speaker 1: one young barista. But Maz did not back down. Here's 1464 01:17:42,640 --> 01:17:45,200 Speaker 1: what happened, in their own words to me and nineteen 1465 01:17:45,200 --> 01:17:48,040 Speaker 1: other partners had the opportunity to speak with powered Schultz. 1466 01:17:48,479 --> 01:17:50,719 Speaker 1: He wanted to know what he could do to resource 1467 01:17:50,720 --> 01:17:53,400 Speaker 1: trust with the company, and I mentioned that we wanted 1468 01:17:53,479 --> 01:17:56,839 Speaker 1: honesty and transparency about the NLRB charges and what's happening 1469 01:17:56,880 --> 01:17:59,920 Speaker 1: to pro union workers across the country. I was silenced 1470 01:18:00,040 --> 01:18:01,840 Speaker 1: and told that I wasn't allowed to talk about that. 1471 01:18:02,840 --> 01:18:04,960 Speaker 1: He then apologized on be happy Me to the entire 1472 01:18:05,040 --> 01:18:08,280 Speaker 1: room for bringing it up. Later on, when benefits were mentioned, 1473 01:18:08,600 --> 01:18:10,920 Speaker 1: I said that while our benefits were once meeting in 1474 01:18:10,960 --> 01:18:13,320 Speaker 1: the industry, there are not anymore. In response, he said, 1475 01:18:13,600 --> 01:18:15,360 Speaker 1: if you hate Starbucks so much, why don't you work 1476 01:18:15,400 --> 01:18:18,599 Speaker 1: somewhere else? Now, A few things give me a greater 1477 01:18:18,720 --> 01:18:21,799 Speaker 1: joy than watching gen Z organized unions and expose corporate 1478 01:18:21,800 --> 01:18:25,559 Speaker 1: bullshit on TikTok Unfortunately for Starbuck's corporate workers who hate 1479 01:18:25,600 --> 01:18:27,920 Speaker 1: their jobs, they are not going to quit anymore. They're 1480 01:18:27,920 --> 01:18:31,000 Speaker 1: going to organize. Now. This is exactly what Amazon Labor 1481 01:18:31,080 --> 01:18:33,679 Speaker 1: union president Chris Mass has been preaching over on Staten Island, 1482 01:18:33,720 --> 01:18:36,920 Speaker 1: triggering a meltdown of a different sort from Amazon Corporate. 1483 01:18:37,360 --> 01:18:40,120 Speaker 1: Their legal team has decided to go full stop the 1484 01:18:40,120 --> 01:18:43,679 Speaker 1: steal whining and new court filings that the historic JFK 1485 01:18:43,760 --> 01:18:46,519 Speaker 1: eight union election was rigged by the workers themselves and 1486 01:18:46,640 --> 01:18:49,559 Speaker 1: also by the National Labor Relations Board. New York Times 1487 01:18:49,560 --> 01:18:51,840 Speaker 1: reporter Karen Weiss she got her hands on a copy 1488 01:18:51,840 --> 01:18:54,479 Speaker 1: of their complaint, which seeks to overturn the results of 1489 01:18:54,520 --> 01:18:57,320 Speaker 1: the election. In the filing, they mostly complain about some 1490 01:18:57,360 --> 01:19:00,240 Speaker 1: of the grassroots guerrilla tactics that al yell al you 1491 01:19:00,360 --> 01:19:04,120 Speaker 1: use to great effect, things like offering workers weed, attending 1492 01:19:04,120 --> 01:19:07,840 Speaker 1: and disrupting captive audience meanings, tracking pro union worker votes 1493 01:19:07,880 --> 01:19:10,479 Speaker 1: during a period when that's supposed to be impermissible. No 1494 01:19:10,520 --> 01:19:14,000 Speaker 1: one should be surprised that Amazon will exhaust every possible 1495 01:19:14,000 --> 01:19:17,320 Speaker 1: option in order to undo the shocking victory of these workers. 1496 01:19:17,560 --> 01:19:19,519 Speaker 1: But I gotta tell you, in a lot of ways, 1497 01:19:19,640 --> 01:19:22,160 Speaker 1: the ketchup is already out of the bottle. Another building 1498 01:19:22,200 --> 01:19:24,840 Speaker 1: on Staten Island will vote this month. One hundred more 1499 01:19:24,880 --> 01:19:28,559 Speaker 1: buildings are interested in organizing. Every one of these efforts. 1500 01:19:28,640 --> 01:19:32,040 Speaker 1: You gotta remember, continues to be a massive uphill battle, 1501 01:19:32,360 --> 01:19:35,920 Speaker 1: but it is undeniable that a fuse has been lit. 1502 01:19:36,400 --> 01:19:38,640 Speaker 1: I am just looking forward to watching Bezos following the 1503 01:19:38,680 --> 01:19:41,519 Speaker 1: footsteps of Schultz publicly melting down over the strength of 1504 01:19:41,560 --> 01:19:44,880 Speaker 1: the union effort and its assault on corporate America. Here's 1505 01:19:44,920 --> 01:19:47,280 Speaker 1: the big reason these execs are freaking. Though normally their 1506 01:19:47,320 --> 01:19:50,240 Speaker 1: war on workers is pretty quiet, it's almost invisible. Status 1507 01:19:50,320 --> 01:19:52,840 Speaker 1: quo is so thoroughly rigged that just maintaining the same 1508 01:19:52,880 --> 01:19:56,840 Speaker 1: trajectory amounts to a devastating class war against regular working people. 1509 01:19:57,200 --> 01:19:59,920 Speaker 1: These workers are truly shifting the consciousness of a man 1510 01:20:00,080 --> 01:20:03,280 Speaker 1: Erica in real time, inspiring courage in the working class, 1511 01:20:03,280 --> 01:20:07,040 Speaker 1: but also creating some awareness in the upper middle class 1512 01:20:07,040 --> 01:20:09,679 Speaker 1: folks who get their lattes at Starbucks and buy their 1513 01:20:09,760 --> 01:20:13,960 Speaker 1: everything at Amazon. Because, make no mistake, upper class guilt 1514 01:20:14,000 --> 01:20:16,680 Speaker 1: can actually be a powerful force. Now, if you know 1515 01:20:16,800 --> 01:20:19,160 Speaker 1: one story in labor history, it is likely to be 1516 01:20:19,240 --> 01:20:22,280 Speaker 1: that of the horrific triangle shirtwaist fire Back in nineteen eleven, 1517 01:20:22,520 --> 01:20:25,280 Speaker 1: over one hundred and forty six workers, mostly women and girls, 1518 01:20:25,439 --> 01:20:27,800 Speaker 1: were killed in a factory turning out garments for the 1519 01:20:27,880 --> 01:20:30,799 Speaker 1: upper classes because their cruel bosses had locked the doors, 1520 01:20:31,040 --> 01:20:33,960 Speaker 1: preventing escape. When the tinder box of lint and fabric 1521 01:20:34,000 --> 01:20:37,160 Speaker 1: trimmings went up in flames, some of these workers were 1522 01:20:37,160 --> 01:20:41,240 Speaker 1: burned alive. Some chose to instead leap to their death 1523 01:20:41,439 --> 01:20:44,439 Speaker 1: rather than endure the agony of those flames. It's an 1524 01:20:44,640 --> 01:20:48,240 Speaker 1: enduring tragedy that created such moral outrage that it created 1525 01:20:48,360 --> 01:20:51,639 Speaker 1: lasting labor protections that were enshrined in law. Now, even 1526 01:20:51,680 --> 01:20:54,000 Speaker 1: if you know this story, what you might not know 1527 01:20:54,360 --> 01:20:57,599 Speaker 1: is that even before the tragedy, ladies garment workers had 1528 01:20:57,640 --> 01:21:00,519 Speaker 1: been organizing, even going so far as a general strike, 1529 01:21:00,560 --> 01:21:03,519 Speaker 1: to demand better working conditions. Just take a look at this. 1530 01:21:03,880 --> 01:21:06,559 Speaker 1: At first, their plight garnered little attention with next to 1531 01:21:06,560 --> 01:21:09,439 Speaker 1: no press coverage, But then a couple of rich heiresses 1532 01:21:09,560 --> 01:21:13,480 Speaker 1: and Morgan, daughter of JP Morgan and Alva Vanderbilt Belmont, 1533 01:21:13,760 --> 01:21:17,560 Speaker 1: they got involved. Known as the Mink Brigade, the involvement 1534 01:21:17,600 --> 01:21:21,120 Speaker 1: of rich women helped to trigger press coverage, and that 1535 01:21:21,280 --> 01:21:24,519 Speaker 1: visibility quickly led to a lot of shops across the 1536 01:21:24,560 --> 01:21:28,840 Speaker 1: city beginning to bargain with unions. So even before the 1537 01:21:29,000 --> 01:21:33,479 Speaker 1: shocking crimes at Triangle, shirtwaist factory workers were winning unions 1538 01:21:33,600 --> 01:21:36,919 Speaker 1: thanks to their own courage first and foremost, but also 1539 01:21:37,120 --> 01:21:39,439 Speaker 1: to the elite outrage that was created by the so 1540 01:21:39,520 --> 01:21:42,960 Speaker 1: called Mink Brigade. This movement meant that after the fire 1541 01:21:43,000 --> 01:21:45,759 Speaker 1: workers didn't just win unions, they also won permanent labor 1542 01:21:45,840 --> 01:21:49,400 Speaker 1: law granting rights, which are still enshrined to this day. Now, listen, 1543 01:21:49,520 --> 01:21:51,840 Speaker 1: the alliance was far from perfect, was weighed down by 1544 01:21:51,920 --> 01:21:56,120 Speaker 1: quite a bit of classism patronizing expectations, but ultimately, together 1545 01:21:56,280 --> 01:21:58,560 Speaker 1: they did prevail the upper class women they got to 1546 01:21:58,560 --> 01:22:01,240 Speaker 1: feel good about their expensive fashion, and the workers got 1547 01:22:01,240 --> 01:22:05,320 Speaker 1: better hours, wages, and working conditions. When working class courage 1548 01:22:05,439 --> 01:22:09,360 Speaker 1: combines with upper class awareness and guilt, everything changed. That's 1549 01:22:09,400 --> 01:22:12,160 Speaker 1: the dangerous zone that these two companies, Amazon and Starbucks 1550 01:22:12,200 --> 01:22:15,640 Speaker 1: are in right now. The visibility of working conditions and 1551 01:22:15,680 --> 01:22:19,040 Speaker 1: pro union rhetoric everywhere from the New York Times to 1552 01:22:19,240 --> 01:22:24,000 Speaker 1: CNBC to TMZ. That makes it impossible for billionaires like 1553 01:22:24,040 --> 01:22:27,400 Speaker 1: Bezos and Schultz to conduct their class warfare in secret. 1554 01:22:27,640 --> 01:22:31,960 Speaker 1: Their ugly deeds and their brutal tactics and their outright criminality, 1555 01:22:32,040 --> 01:22:35,479 Speaker 1: let's be clear, are increasingly on display for all the 1556 01:22:35,520 --> 01:22:38,799 Speaker 1: world to see, making it harder for your average Amazon 1557 01:22:38,800 --> 01:22:42,520 Speaker 1: and Starbucks customer to maintain their personal feeling of virtuousness. 1558 01:22:42,880 --> 01:22:45,080 Speaker 1: It's no wonder the billionaires and corporate execs have hit 1559 01:22:45,120 --> 01:22:48,120 Speaker 1: the panic button, but there's no unseeing the shocking abuse 1560 01:22:48,240 --> 01:22:51,800 Speaker 1: of our corporate overlords to everyday workers. I think the 1561 01:22:51,840 --> 01:22:54,680 Speaker 1: fact that it's Amazon and that it's Starbucks, and these 1562 01:22:54,720 --> 01:22:57,320 Speaker 1: are brands that are so simple and if you want 1563 01:22:57,360 --> 01:23:00,720 Speaker 1: to hear my reaction to Crystal's monologue, become a sareeumbscriber 1564 01:23:00,800 --> 01:23:04,840 Speaker 1: today at Breakingpoints dot Com. All right, Zyger, what are 1565 01:23:04,880 --> 01:23:06,839 Speaker 1: you looking at? Well? Part of what is so maddening 1566 01:23:06,880 --> 01:23:09,880 Speaker 1: about our current corporate media industrial complex is that it's 1567 01:23:09,880 --> 01:23:13,280 Speaker 1: so obvious that its power is collapsing at the same time, 1568 01:23:13,680 --> 01:23:16,880 Speaker 1: but they continue to maintain a powerful facade. We know 1569 01:23:17,120 --> 01:23:20,439 Speaker 1: with certainty declining cable news viewers, we know declining traffic 1570 01:23:20,439 --> 01:23:24,000 Speaker 1: to mainstream media websites, explosion of audience on independent platforms 1571 01:23:24,040 --> 01:23:26,720 Speaker 1: as a result of their failures. We still see them 1572 01:23:26,800 --> 01:23:29,599 Speaker 1: acting though, as if it's all normal. At CNN Plus 1573 01:23:29,800 --> 01:23:32,519 Speaker 1: when they blow a quarter of a billion dollars on 1574 01:23:32,560 --> 01:23:37,080 Speaker 1: a streaming service launch. It's normal that MSNBC, CNN, Fox, 1575 01:23:37,160 --> 01:23:41,720 Speaker 1: despite record low viewerships, continue to hold big sway over 1576 01:23:41,720 --> 01:23:45,080 Speaker 1: this country and they reap billions of dollars in profit. 1577 01:23:45,439 --> 01:23:48,879 Speaker 1: The reason why the system survives is because it is insular. 1578 01:23:49,120 --> 01:23:51,960 Speaker 1: If you never invite anyone on who is a dissident, 1579 01:23:52,120 --> 01:23:54,799 Speaker 1: then you will never have to contend with real failure. 1580 01:23:55,040 --> 01:23:57,080 Speaker 1: If you have enough money in the short term, you 1581 01:23:57,120 --> 01:23:59,200 Speaker 1: can use it to try and buy market share in 1582 01:23:59,240 --> 01:24:02,599 Speaker 1: the future. And the system's power depends on it never 1583 01:24:02,880 --> 01:24:05,639 Speaker 1: being challenged. That is why every once in a while 1584 01:24:05,840 --> 01:24:09,919 Speaker 1: it is shocking and exhilarating when the system actually is challenged, 1585 01:24:10,120 --> 01:24:13,679 Speaker 1: which by happenstance, happened twice over the last few days 1586 01:24:13,880 --> 01:24:18,840 Speaker 1: during The Atlantic magazine's disinformation conference at the University of Chicago. 1587 01:24:19,080 --> 01:24:22,679 Speaker 1: We're two freshmen students challenge representatives of the mainstream media 1588 01:24:22,760 --> 01:24:25,360 Speaker 1: in ways that you almost never see. Let's take a 1589 01:24:25,400 --> 01:24:27,680 Speaker 1: look at the first question from a freshman student to 1590 01:24:27,800 --> 01:24:30,680 Speaker 1: an apple bomb of The Atlantic. Thank you, thank you 1591 01:24:30,720 --> 01:24:33,240 Speaker 1: for doing this, really appreciated. I'm Daniel Schmidt. I'm a 1592 01:24:33,280 --> 01:24:35,920 Speaker 1: freshman at the University of Chicago. My question is for 1593 01:24:36,160 --> 01:24:39,439 Speaker 1: miss applebomb. So in twenty twenty, you wrote, those who 1594 01:24:39,439 --> 01:24:42,160 Speaker 1: live outside the Fox News bubble do not, of course 1595 01:24:42,240 --> 01:24:44,280 Speaker 1: need to learn any of the stuff about Hunter Biden, 1596 01:24:44,439 --> 01:24:47,599 Speaker 1: referring to his laptop of curse. A poll later after 1597 01:24:47,680 --> 01:24:50,600 Speaker 1: that found that if voters knew about the content of 1598 01:24:50,600 --> 01:24:53,720 Speaker 1: the laptop, sixteen percent of Joe Biden voters would have 1599 01:24:53,720 --> 01:24:56,040 Speaker 1: acted differently. Now, of course, we know a few weeks 1600 01:24:56,040 --> 01:24:58,599 Speaker 1: ago the New York Times confirmed that the content is real. 1601 01:24:58,880 --> 01:25:02,360 Speaker 1: Do you think the media acted inappropriately when they instantly 1602 01:25:02,360 --> 01:25:06,120 Speaker 1: dismissed Hunter Biden's laptop as Russian disinformation? And what can 1603 01:25:06,120 --> 01:25:08,439 Speaker 1: we learn from that and ensuring that what we label 1604 01:25:08,479 --> 01:25:13,080 Speaker 1: as this information is truly disinformation and not reality. My 1605 01:25:13,479 --> 01:25:16,320 Speaker 1: problem with Hunter Biden's laptop is, I think totally irrelevant. 1606 01:25:16,560 --> 01:25:18,960 Speaker 1: I mean, it's not whether it's disinformation or I mean, 1607 01:25:19,000 --> 01:25:24,799 Speaker 1: I didn't think the Hunter Biden's business relationships have anything 1608 01:25:24,840 --> 01:25:26,719 Speaker 1: to do with who should be president of the United States. 1609 01:25:26,840 --> 01:25:29,760 Speaker 1: So I didn't find I don't find it to be interesting. 1610 01:25:29,960 --> 01:25:32,320 Speaker 1: I mean that that would be my problem with that 1611 01:25:32,400 --> 01:25:36,320 Speaker 1: as a major news story. We're going to talk about 1612 01:25:36,360 --> 01:25:41,320 Speaker 1: more of this tomorrow. In our first panel, So stand by, 1613 01:25:43,280 --> 01:25:45,880 Speaker 1: and I think we have run out of time. Saved 1614 01:25:45,880 --> 01:25:49,200 Speaker 1: by the bell. Huh, She says, it's completely irrelevant. Astounding. 1615 01:25:49,479 --> 01:25:51,439 Speaker 1: It took me five seconds to find a tweet from 1616 01:25:51,439 --> 01:25:54,360 Speaker 1: just November of last year when Anne was criticizing Jared 1617 01:25:54,400 --> 01:25:56,800 Speaker 1: Kushner for cashing in on his connections made during his 1618 01:25:56,840 --> 01:25:59,760 Speaker 1: time in the Trump administration, which I've also criticized. By 1619 01:25:59,800 --> 01:26:03,120 Speaker 1: the way, and we'll continue on tomorrow. What's the difference, though, Well, 1620 01:26:03,280 --> 01:26:05,519 Speaker 1: And is fine with dismissing and calling the hunter byden 1621 01:26:05,600 --> 01:26:08,800 Speaker 1: laptop story completely irrelevant when it's somebody that she supports, 1622 01:26:08,920 --> 01:26:11,280 Speaker 1: but not when it's somebody that she doesn't. That's the 1623 01:26:11,320 --> 01:26:14,719 Speaker 1: problem with selective coverage and outrage. It diminishes and actually 1624 01:26:14,760 --> 01:26:17,920 Speaker 1: aids propagandists on the other side, who can deflect with 1625 01:26:18,040 --> 01:26:21,840 Speaker 1: your hypocrisy to cover up their misdeeds. The only way 1626 01:26:21,880 --> 01:26:25,320 Speaker 1: out is to just be honest, acknowledge your failings, have 1627 01:26:25,520 --> 01:26:29,400 Speaker 1: some humility, try to bring intellectual honesty to your coverage. 1628 01:26:29,520 --> 01:26:32,920 Speaker 1: But that is just simply impossible whenever you depend on 1629 01:26:33,000 --> 01:26:36,839 Speaker 1: the system never failing in order to propagate your career. 1630 01:26:37,240 --> 01:26:39,960 Speaker 1: The second challenge at the conference also came from a 1631 01:26:40,000 --> 01:26:44,360 Speaker 1: young student to CNN's Brian Stelter in another remarkable question, 1632 01:26:44,640 --> 01:26:47,479 Speaker 1: Let's take a listen. Hi, thank you for coming. My 1633 01:26:47,560 --> 01:26:49,920 Speaker 1: name is Christopher Phillips. I'm my first year at the college. 1634 01:26:50,600 --> 01:26:55,040 Speaker 1: My questions from mister Stelter. You've all spoken extensively about 1635 01:26:55,080 --> 01:26:59,760 Speaker 1: Fox News being a purveyor of disinformation, but CNN is 1636 01:26:59,800 --> 01:27:02,679 Speaker 1: right up there with them. They pushed the Russian collusion hoax, 1637 01:27:02,760 --> 01:27:06,679 Speaker 1: they pushed the Justice smilette hoax. They smeared Justice Kavanaugh 1638 01:27:06,680 --> 01:27:09,880 Speaker 1: as a rapist, and they also smeared Nick Salmon as 1639 01:27:09,880 --> 01:27:13,120 Speaker 1: a white supremacist. And yes, they dismissed the Hunter Biden 1640 01:27:13,200 --> 01:27:18,320 Speaker 1: laptop affair as pure Russian disinformation. With mainstream corporate journalists 1641 01:27:18,400 --> 01:27:22,639 Speaker 1: becoming little more than apologists and cheerleaders for the regime, 1642 01:27:23,040 --> 01:27:26,880 Speaker 1: is it time to finally declare that the canon of 1643 01:27:26,960 --> 01:27:31,160 Speaker 1: journalistic ethics is dead or no longer operative. All the 1644 01:27:31,200 --> 01:27:35,000 Speaker 1: mistakes of the mainstream media and CNN in particular, seemed 1645 01:27:35,040 --> 01:27:38,759 Speaker 1: to magically all go in one direction. Are we expected 1646 01:27:38,800 --> 01:27:41,320 Speaker 1: to believe that this is all just some sort of 1647 01:27:41,479 --> 01:27:44,800 Speaker 1: random coincidence or is there something else behind it? It's 1648 01:27:44,840 --> 01:27:48,639 Speaker 1: too bad time for lunch? Uh? Yeah, No, I mean, 1649 01:27:49,000 --> 01:27:50,960 Speaker 1: there's a clock that says thirty seconds. But I think 1650 01:27:51,000 --> 01:27:53,200 Speaker 1: my honest answer to you and I will all come 1651 01:27:53,200 --> 01:27:55,439 Speaker 1: over and talk in more detail after this is that 1652 01:27:55,960 --> 01:27:58,000 Speaker 1: I think you're describing a different channel than the one 1653 01:27:58,000 --> 01:28:00,439 Speaker 1: that I watch. But I understand that that is a 1654 01:28:00,439 --> 01:28:03,479 Speaker 1: popular right wing narrative about CNN. I think it's important 1655 01:28:03,560 --> 01:28:06,839 Speaker 1: we talk about shared reality and democracy. All these networks, 1656 01:28:06,880 --> 01:28:09,280 Speaker 1: all these news outlets, have to defend democracy, and when 1657 01:28:09,280 --> 01:28:13,120 Speaker 1: they screw up, admit it. But when Benjamin Hall, the 1658 01:28:13,160 --> 01:28:16,479 Speaker 1: Fox correspondent, was wounded in Ukraine, the news crews at 1659 01:28:16,520 --> 01:28:18,439 Speaker 1: CNN and the New York Times stopped what they were 1660 01:28:18,439 --> 01:28:20,400 Speaker 1: doing and they tried to help. They tried to help 1661 01:28:20,479 --> 01:28:22,160 Speaker 1: them get out of the country. They tried to find 1662 01:28:22,160 --> 01:28:24,920 Speaker 1: the dead crew members. That's what news outlets do. That's 1663 01:28:24,920 --> 01:28:27,679 Speaker 1: how they actually do work together. To your question about 1664 01:28:27,880 --> 01:28:30,880 Speaker 1: sharing those kinds of connections and trust, we don't talk 1665 01:28:30,880 --> 01:28:33,759 Speaker 1: about it enough though, We don't share that reality about 1666 01:28:33,760 --> 01:28:36,600 Speaker 1: how that happens. And with regards to the regime, I 1667 01:28:36,600 --> 01:28:39,160 Speaker 1: think you mean the President Biden. Last time I spoke 1668 01:28:39,200 --> 01:28:41,439 Speaker 1: with a Biden aid, we heeled at each other. So 1669 01:28:41,560 --> 01:28:44,080 Speaker 1: that's the reality of the news business. That people don't 1670 01:28:44,120 --> 01:28:47,680 Speaker 1: see that, people don't hear. They imagine that it's a 1671 01:28:47,760 --> 01:28:50,839 Speaker 1: situation that simply is not. But I think your question 1672 01:28:51,520 --> 01:28:54,639 Speaker 1: it speaks to the failure of journalism to show our 1673 01:28:54,720 --> 01:28:57,640 Speaker 1: work and show the reality of how our profession operates. 1674 01:28:58,400 --> 01:29:01,479 Speaker 1: That man should win a medal. In also advice to 1675 01:29:01,520 --> 01:29:03,280 Speaker 1: the young man who asked the question, it's better to 1676 01:29:03,320 --> 01:29:05,759 Speaker 1: stick to straight facts and pointed questions like that instead 1677 01:29:05,800 --> 01:29:08,760 Speaker 1: of editorializing. It's what allows Stelter to dismiss it as 1678 01:29:08,840 --> 01:29:11,919 Speaker 1: right wing propaganda instead of reckon with all the legitimate 1679 01:29:11,920 --> 01:29:14,520 Speaker 1: points that he just made. But in both of those instances, 1680 01:29:14,560 --> 01:29:17,240 Speaker 1: you saw a glimpse of just how flimsy this entire 1681 01:29:17,400 --> 01:29:20,880 Speaker 1: edifice is. Why it relies so much on censorship to 1682 01:29:21,360 --> 01:29:24,880 Speaker 1: do its bidding for them. Without the ability to cover 1683 01:29:25,000 --> 01:29:28,320 Speaker 1: up dissenting views, which predominantly are pointing out the failures 1684 01:29:28,320 --> 01:29:32,640 Speaker 1: of the mainstream establishment elite, it crumbles instantaneously, which is 1685 01:29:32,680 --> 01:29:35,800 Speaker 1: exactly why the corporate media, the main purveyors of the 1686 01:29:35,800 --> 01:29:40,360 Speaker 1: most powerful disinformation, are dead set on using disinformation standards 1687 01:29:40,400 --> 01:29:44,640 Speaker 1: against their opponents and in fulfilling a prophecy. That is 1688 01:29:44,720 --> 01:29:49,760 Speaker 1: exactly what happened at the Atlantic's Disinformation Conference near the end, 1689 01:29:50,000 --> 01:29:52,880 Speaker 1: when the editor in chief, Jeffrey Goldberg was forced to 1690 01:29:52,960 --> 01:29:57,040 Speaker 1: address the two viral moments of that conference, embarrassing his attendees. 1691 01:29:57,280 --> 01:30:01,880 Speaker 1: Let's take a listen. I think one darkly humorous but 1692 01:30:02,080 --> 01:30:07,080 Speaker 1: inevitable measurement of our success is that our disinformation conference 1693 01:30:07,080 --> 01:30:11,120 Speaker 1: has been the subject of disinformation campaigns on social media already. 1694 01:30:11,720 --> 01:30:19,160 Speaker 1: Uh so, yeah, congratulate yourselves for that. That's uh what 1695 01:30:19,240 --> 01:30:25,360 Speaker 1: we'll study that at next year's Disinformation again, subject of disinformation. 1696 01:30:25,680 --> 01:30:28,280 Speaker 1: It's incredible. Just shows you again the power that the 1697 01:30:28,320 --> 01:30:31,080 Speaker 1: system has, its ability to paint anybody who reveals their 1698 01:30:31,120 --> 01:30:33,680 Speaker 1: failures as the real criminals. All you can do is 1699 01:30:33,680 --> 01:30:36,519 Speaker 1: fight back, at least reveal their lives, reveal how flimsy 1700 01:30:36,520 --> 01:30:38,519 Speaker 1: they are when they're pressed, and spread it as far 1701 01:30:38,560 --> 01:30:40,320 Speaker 1: and as wide as we can, because that is the 1702 01:30:40,400 --> 01:30:42,960 Speaker 1: last remaining power that a dissonance has in this society. 1703 01:30:43,200 --> 01:30:44,840 Speaker 1: I mean, how crazy is that, Crystal, which is that 1704 01:30:44,880 --> 01:30:49,040 Speaker 1: they call these kids disinformation for pointing out their own failures. 1705 01:30:49,200 --> 01:30:52,120 Speaker 1: And if you want to hear my reaction to Sabre's monologue, 1706 01:30:52,160 --> 01:30:57,320 Speaker 1: become a premium subscriber today at breakingpoints dot com. All Right, guys. 1707 01:30:57,400 --> 01:31:00,080 Speaker 1: Joining us now to discuss the results thus far of 1708 01:31:00,120 --> 01:31:03,160 Speaker 1: the French presidential election is Daniel Nie Shaneyan. He is 1709 01:31:03,280 --> 01:31:07,000 Speaker 1: executive editor in chief of Bolt magazine. Welcome Daniel, great 1710 01:31:07,000 --> 01:31:09,400 Speaker 1: to see again. It's great to be here. Thanks for 1711 01:31:09,439 --> 01:31:12,200 Speaker 1: having me. By the way, before I forget everybody bolts, 1712 01:31:12,200 --> 01:31:16,320 Speaker 1: Maggaz doing fantastic work digging into a lot of relevant issues, 1713 01:31:16,360 --> 01:31:19,000 Speaker 1: including criminal justice reforms. So make sure you check out 1714 01:31:19,000 --> 01:31:21,200 Speaker 1: the work that Daniel is doing over there. All right, 1715 01:31:21,280 --> 01:31:24,120 Speaker 1: with that out of the way, break down these election 1716 01:31:24,200 --> 01:31:26,360 Speaker 1: results for us we have this is a little bit dated, 1717 01:31:26,400 --> 01:31:28,040 Speaker 1: but more or less the results stay the same. Go 1718 01:31:28,040 --> 01:31:29,920 Speaker 1: ahead and throw this first piece up on the screen. 1719 01:31:30,240 --> 01:31:34,679 Speaker 1: So you have the incumbent mccron coming in the first 1720 01:31:34,760 --> 01:31:37,559 Speaker 1: round in first twenty eight point six percent. According to 1721 01:31:37,600 --> 01:31:39,519 Speaker 1: this graphic. It has shifted a little bit since then. 1722 01:31:39,600 --> 01:31:41,559 Speaker 1: Second place is Marie La Pennch she's on the right 1723 01:31:41,600 --> 01:31:45,040 Speaker 1: twenty four point four percent. And then actually surprisingly strong 1724 01:31:45,280 --> 01:31:48,000 Speaker 1: showing for the third place there Jean Luke Melin Sean 1725 01:31:48,320 --> 01:31:53,439 Speaker 1: who is on the left. Just give me sense of 1726 01:31:53,520 --> 01:31:58,280 Speaker 1: what was surprising about this and for people Alwment followed closely. 1727 01:31:58,920 --> 01:32:01,720 Speaker 1: This is the first round the top two contenders, uh 1728 01:32:02,520 --> 01:32:06,800 Speaker 1: Marine Leapenn and Manuel Macron will go on to head 1729 01:32:06,840 --> 01:32:09,160 Speaker 1: to head contest next So that is what is upcoming. 1730 01:32:09,240 --> 01:32:12,320 Speaker 1: But give people a sense of these different figures and 1731 01:32:12,320 --> 01:32:16,840 Speaker 1: how they've positioned themselves on the political spectrum. Absolutely. So, 1732 01:32:16,920 --> 01:32:19,519 Speaker 1: you know, France has a two round presidential system, as 1733 01:32:19,560 --> 01:32:22,320 Speaker 1: you were just saying, and yesterday was the first round, 1734 01:32:22,920 --> 01:32:25,680 Speaker 1: and the stakes really was deciding who was going to 1735 01:32:25,760 --> 01:32:28,280 Speaker 1: move on to the runoff, which is in two weeks. 1736 01:32:28,120 --> 01:32:33,920 Speaker 1: It's quite a quick turnaround, and the and the candidates 1737 01:32:33,960 --> 01:32:37,080 Speaker 1: are going to be the incumbent president Macon who's a 1738 01:32:37,120 --> 01:32:42,479 Speaker 1: centrist to center right p president, and the fire right 1739 01:32:44,160 --> 01:32:48,240 Speaker 1: challenger marian Lupenne. Actually the results ended up being even 1740 01:32:48,320 --> 01:32:51,040 Speaker 1: closer than what you showed between Lepenne and the candidate 1741 01:32:51,040 --> 01:32:55,960 Speaker 1: who came in third, Jean who's a left who's on 1742 01:32:56,000 --> 01:32:58,759 Speaker 1: the left, who's a left candidate, and ended up coming 1743 01:32:58,800 --> 01:33:01,840 Speaker 1: within the point of Mariane, which would have been a huge, 1744 01:33:02,080 --> 01:33:06,240 Speaker 1: huge shock. And in the final weeks of the campaign, effectively, 1745 01:33:06,360 --> 01:33:11,920 Speaker 1: what happened is that the far right forces consolidated more 1746 01:33:12,040 --> 01:33:15,800 Speaker 1: around Mamarial Lepine. There was some division there and the left, 1747 01:33:15,920 --> 01:33:18,599 Speaker 1: including the center left a lot of the candidates kept 1748 01:33:18,680 --> 01:33:21,799 Speaker 1: dropping and dropping as more and more people strategic voted 1749 01:33:22,000 --> 01:33:25,160 Speaker 1: as well as wanted to vote for melon chanp and 1750 01:33:25,240 --> 01:33:28,640 Speaker 1: we ended up with this with this three three with 1751 01:33:28,840 --> 01:33:31,439 Speaker 1: with with these three candidates way on top, and the 1752 01:33:31,600 --> 01:33:34,639 Speaker 1: establishment parties that have long ruled Friends for the past 1753 01:33:34,640 --> 01:33:40,439 Speaker 1: sixty seventy years were just all demolished yesterday. The main 1754 01:33:40,520 --> 01:33:44,759 Speaker 1: conservative party, the main center left party that had really 1755 01:33:45,479 --> 01:33:50,080 Speaker 1: traded off governing France from the fifties to five years ago, 1756 01:33:50,320 --> 01:33:54,080 Speaker 1: combined for just seven percent of the vote, which which 1757 01:33:54,160 --> 01:33:56,479 Speaker 1: is which is really? Which is? Which is? Which is 1758 01:33:56,720 --> 01:33:59,400 Speaker 1: unfathomable if you had told someone that six six years ago, 1759 01:33:59,400 --> 01:34:02,920 Speaker 1: because they were, you know, trading off power. So we're 1760 01:34:02,920 --> 01:34:06,639 Speaker 1: in this, We're in this strange composition by the standards before, 1761 01:34:06,640 --> 01:34:10,960 Speaker 1: where there's this last block, this this centrist block, let's say, 1762 01:34:11,280 --> 01:34:15,080 Speaker 1: and then lepen and and the left was eliminated from 1763 01:34:15,120 --> 01:34:18,600 Speaker 1: the from from the from from the election yesterday. So 1764 01:34:18,640 --> 01:34:20,559 Speaker 1: how's it going to shake out? Now? We got two 1765 01:34:20,640 --> 01:34:23,200 Speaker 1: weeks to go. I saw that melon Chan has said 1766 01:34:23,240 --> 01:34:25,760 Speaker 1: that not one person should vote for Marine Lapenn, but 1767 01:34:25,840 --> 01:34:29,759 Speaker 1: she is going very hard for his voters. Can you explain, 1768 01:34:30,280 --> 01:34:33,599 Speaker 1: uh kind of the resuscitation of Lapenn. Look, the National 1769 01:34:33,680 --> 01:34:37,479 Speaker 1: Front is always done well in these elections, but whenever 1770 01:34:37,520 --> 01:34:40,479 Speaker 1: it comes to the runoffs, they generally lose. However, she 1771 01:34:40,520 --> 01:34:43,120 Speaker 1: seems to have stripped off a significant amount of power 1772 01:34:43,439 --> 01:34:46,639 Speaker 1: of the center right in this campaign. What is different 1773 01:34:46,720 --> 01:34:49,640 Speaker 1: this time around in France because it just seems like 1774 01:34:49,720 --> 01:34:54,000 Speaker 1: a completely different situation than the previous elections. Yeah, so 1775 01:34:54,120 --> 01:34:56,840 Speaker 1: in one way, the election is exactly the same as 1776 01:34:56,880 --> 01:35:00,479 Speaker 1: last time because the last presidential election also had runoffs 1777 01:35:00,520 --> 01:35:03,600 Speaker 1: between lupenn and and the Macro and Macrome on that 1778 01:35:04,120 --> 01:35:06,960 Speaker 1: by a very large margin, almost two to one, sixty 1779 01:35:07,000 --> 01:35:10,320 Speaker 1: six to thirty four percent. But you know, as you 1780 01:35:11,000 --> 01:35:13,479 Speaker 1: it's possible that that for for reviewers who are not 1781 01:35:14,920 --> 01:35:17,000 Speaker 1: we're not, We're not. We don't know much about French politics. 1782 01:35:17,040 --> 01:35:20,360 Speaker 1: The Lupenn family has been running for presidents since the seventies. 1783 01:35:20,400 --> 01:35:23,679 Speaker 1: First it was Marie Lupin's father, and then Marion Lapen, 1784 01:35:23,760 --> 01:35:26,320 Speaker 1: and they keep going forward almost pretty much every election, 1785 01:35:26,560 --> 01:35:30,120 Speaker 1: with some exceptions. And what what what what what feels 1786 01:35:30,160 --> 01:35:33,639 Speaker 1: different this time? Yeah? I mean the and they always, 1787 01:35:33,680 --> 01:35:36,799 Speaker 1: as you said, kind of run into this runoff system 1788 01:35:36,840 --> 01:35:40,960 Speaker 1: where everyone else was running, every other establishment party or 1789 01:35:41,040 --> 01:35:44,240 Speaker 1: left party calls to vote against them, and up until 1790 01:35:44,280 --> 01:35:47,920 Speaker 1: now it's always functioned quite well, including in elections that 1791 01:35:48,000 --> 01:35:53,559 Speaker 1: are below the presidential level, where the the the Lupenn 1792 01:35:53,640 --> 01:35:55,639 Speaker 1: and her party do quite well in the first round 1793 01:35:55,680 --> 01:35:58,160 Speaker 1: and then fail. It's still unclear whether that will be 1794 01:35:58,240 --> 01:36:01,000 Speaker 1: different this time. What the holds are showing quite a 1795 01:36:01,080 --> 01:36:03,840 Speaker 1: closer race. One reason for that is that a lot 1796 01:36:03,960 --> 01:36:07,600 Speaker 1: of voters who voted for either the conservative candidate or 1797 01:36:07,720 --> 01:36:10,679 Speaker 1: left candidates are saying they won't vote in the runoff 1798 01:36:11,880 --> 01:36:15,439 Speaker 1: and are saying that they will not participate, in part 1799 01:36:15,479 --> 01:36:18,640 Speaker 1: because now that the person they're supposed to vote for 1800 01:36:18,880 --> 01:36:21,360 Speaker 1: is an incumbent. He has governed four five years, he 1801 01:36:21,400 --> 01:36:23,519 Speaker 1: has governed or in COVID. He has angered a lot 1802 01:36:24,520 --> 01:36:28,120 Speaker 1: of the left. He has also angered some some some conservatives. 1803 01:36:29,200 --> 01:36:32,960 Speaker 1: The challenge will be whether he can activate that same 1804 01:36:33,720 --> 01:36:37,840 Speaker 1: anti far right front that has font that that that 1805 01:36:38,880 --> 01:36:40,960 Speaker 1: is quite well functioned for the best, for the best 1806 01:36:41,000 --> 01:36:43,240 Speaker 1: twenty thirty years. So here are a couple of things 1807 01:36:43,280 --> 01:36:45,320 Speaker 1: that I had read. First of all, I read that 1808 01:36:45,400 --> 01:36:49,000 Speaker 1: Macron had really moved, especially on cultural issues, to the 1809 01:36:49,160 --> 01:36:52,760 Speaker 1: right to try to stem the tide of you know, 1810 01:36:53,560 --> 01:36:56,840 Speaker 1: Lapen and other right forces. That doesn't seem to have 1811 01:36:57,120 --> 01:36:59,880 Speaker 1: worked at all. In fact, it seems instead to have 1812 01:37:00,040 --> 01:37:03,519 Speaker 1: pissed off the left, who now may stay home rather 1813 01:37:03,640 --> 01:37:05,679 Speaker 1: than you know, sort of stuck it up and vote 1814 01:37:05,720 --> 01:37:10,880 Speaker 1: for Macron. I also had read that La Penn sort 1815 01:37:10,920 --> 01:37:14,640 Speaker 1: of softened her rough edges is the language that I 1816 01:37:14,720 --> 01:37:17,599 Speaker 1: heard a number of times, and that also in terms 1817 01:37:17,640 --> 01:37:20,600 Speaker 1: of economic issues, that she had actually moved to the 1818 01:37:20,840 --> 01:37:24,320 Speaker 1: left of Macron in terms of how she was positioning 1819 01:37:24,360 --> 01:37:27,600 Speaker 1: herself on economic issues. Is that a fair reading of 1820 01:37:27,880 --> 01:37:29,560 Speaker 1: how things played out in terms of their sort of 1821 01:37:29,600 --> 01:37:33,679 Speaker 1: political positioning. So I think there's a there's a number 1822 01:37:33,720 --> 01:37:36,599 Speaker 1: of things. There's a number of things to unpack there, right. 1823 01:37:37,360 --> 01:37:39,960 Speaker 1: I think I think one thing I would invite, first 1824 01:37:39,960 --> 01:37:42,519 Speaker 1: of all views is to not necessarily project the American 1825 01:37:42,640 --> 01:37:45,160 Speaker 1: spectrum onto France in the sense that there's a temptation 1826 01:37:45,360 --> 01:37:50,240 Speaker 1: to read meil Chan and Macron as a sort of 1827 01:37:50,360 --> 01:37:54,000 Speaker 1: like Bernie Sanders and Biden. One thing that's quite different 1828 01:37:54,040 --> 01:37:55,760 Speaker 1: that I just want to immediately name because it gets 1829 01:37:55,760 --> 01:37:57,639 Speaker 1: to your first part of your question is that Emaanuel 1830 01:37:57,760 --> 01:38:01,839 Speaker 1: Macron has emerged is true from as ent or left government, 1831 01:38:02,280 --> 01:38:05,400 Speaker 1: but since getting power has really drawn people from the 1832 01:38:05,439 --> 01:38:09,320 Speaker 1: Conservative Party, which are also called the Republicans in France, 1833 01:38:10,080 --> 01:38:12,320 Speaker 1: has has named people from down the Republican Party as 1834 01:38:12,520 --> 01:38:15,920 Speaker 1: as Prime Minister, and has really done done, done a 1835 01:38:15,960 --> 01:38:19,200 Speaker 1: lot of economic policies and cultural policies as well that 1836 01:38:19,280 --> 01:38:22,320 Speaker 1: are drawn from what is the dominant Conservative party in France. 1837 01:38:22,600 --> 01:38:25,559 Speaker 1: So in in in the sense of really having removed 1838 01:38:25,640 --> 01:38:29,519 Speaker 1: himself from even a center left coalition. It's quite different 1839 01:38:29,600 --> 01:38:32,040 Speaker 1: there than than what we've than what the US kind 1840 01:38:32,080 --> 01:38:35,479 Speaker 1: of we think of, how like the intra democratic fights 1841 01:38:35,600 --> 01:38:38,439 Speaker 1: right to your I think to your point, I think 1842 01:38:38,560 --> 01:38:43,400 Speaker 1: one one, it is true that Macroo has has uh 1843 01:38:44,240 --> 01:38:50,160 Speaker 1: done policies like lowering the business tax uh lou luis. 1844 01:38:50,360 --> 01:38:57,160 Speaker 1: He we weakened labor laws immediately after being elected, and 1845 01:38:57,320 --> 01:38:59,880 Speaker 1: one of his chief proposals for your campaign was to 1846 01:39:00,000 --> 01:39:03,240 Speaker 1: to raise the retirement age, which is a strange thing 1847 01:39:03,280 --> 01:39:05,720 Speaker 1: to campaign on and and is going to play a 1848 01:39:05,800 --> 01:39:07,800 Speaker 1: role right now because that that's going to come up 1849 01:39:07,840 --> 01:39:11,680 Speaker 1: a lot. The other side of this is that you know, 1850 01:39:12,280 --> 01:39:15,240 Speaker 1: economic issues, social benefits. It's really a question of who 1851 01:39:15,840 --> 01:39:17,960 Speaker 1: is who is going to be given the benefits and 1852 01:39:18,200 --> 01:39:20,919 Speaker 1: what type of benefit. And at the center of lapenz 1853 01:39:20,960 --> 01:39:25,000 Speaker 1: Ethos is the rejection of immigrants and the rejection of foreigners, 1854 01:39:25,080 --> 01:39:27,720 Speaker 1: and that that has remained at the center of of 1855 01:39:28,439 --> 01:39:31,320 Speaker 1: of her campaign. I was just reading this weekend the 1856 01:39:31,400 --> 01:39:34,679 Speaker 1: platform that every cadate sent se sent sent to the voter, 1857 01:39:35,080 --> 01:39:37,599 Speaker 1: and a large part of our plot plat Over platform 1858 01:39:37,760 --> 01:39:41,839 Speaker 1: is talking about the explosion of immigration. Our values, our freedoms. 1859 01:39:42,040 --> 01:39:44,680 Speaker 1: I'm reading them the trade translation I noted down for this. 1860 01:39:45,120 --> 01:39:48,080 Speaker 1: Our values are freedoms, our way way of life is threatened. 1861 01:39:48,600 --> 01:39:51,719 Speaker 1: There's talk of of there. There there's talk of threats 1862 01:39:51,760 --> 01:39:55,600 Speaker 1: to the French identity, and that that is really a 1863 01:39:55,720 --> 01:39:58,200 Speaker 1: question of who also gets social benefits and economic benefits, 1864 01:39:58,200 --> 01:39:59,840 Speaker 1: because that's really at the center of what she's talking. 1865 01:40:00,560 --> 01:40:05,000 Speaker 1: Whereas the left candidate John Champ, who also had criticism 1866 01:40:05,120 --> 01:40:08,679 Speaker 1: of Macron on these issues we're talking about right, the economy, 1867 01:40:08,760 --> 01:40:11,880 Speaker 1: retirement age. I was reading his platform and the first, 1868 01:40:12,000 --> 01:40:14,880 Speaker 1: the very first sentence of the platform part is we 1869 01:40:15,000 --> 01:40:18,640 Speaker 1: must reject the poison of racism, anti semitism, anti semitism 1870 01:40:18,960 --> 01:40:23,000 Speaker 1: and hate towards mom muzzlm So he put that. He 1871 01:40:23,080 --> 01:40:25,360 Speaker 1: put that first in part because at the center of 1872 01:40:25,360 --> 01:40:28,439 Speaker 1: the left identity in France is the struggle against you know, 1873 01:40:28,720 --> 01:40:33,000 Speaker 1: the history of fascism and racism, and so it's not 1874 01:40:33,640 --> 01:40:37,200 Speaker 1: so that kind of complicates the question of like who 1875 01:40:37,360 --> 01:40:41,120 Speaker 1: is where on the economics spectrum. Yeah, it's kind of 1876 01:40:41,160 --> 01:40:43,599 Speaker 1: interesting too. I was just looking at your profile about 1877 01:40:43,760 --> 01:40:47,360 Speaker 1: the breakdown on where certain voters are. So where would 1878 01:40:47,400 --> 01:40:51,080 Speaker 1: you rank the issues in the French election? A lot 1879 01:40:51,160 --> 01:40:53,840 Speaker 1: of what I'm reading is that inflation is at the 1880 01:40:53,920 --> 01:40:57,919 Speaker 1: top of concerns Russia. Obviously Macron didn't even really campaign. 1881 01:40:58,200 --> 01:41:00,680 Speaker 1: He's been on the phone trying to play uh you know, 1882 01:41:00,840 --> 01:41:03,320 Speaker 1: like a shuttle diplomacy almost on the phone with Putin 1883 01:41:03,400 --> 01:41:06,080 Speaker 1: and with Kiev and NATO and all of that. So 1884 01:41:06,400 --> 01:41:09,280 Speaker 1: where are French voters in terms of what they rank 1885 01:41:09,400 --> 01:41:11,360 Speaker 1: is the top issues from what you can best tell 1886 01:41:11,680 --> 01:41:13,760 Speaker 1: from the verified exit polls that we have so far 1887 01:41:13,840 --> 01:41:16,840 Speaker 1: from the election. Yeah, well, but the interesting you bring 1888 01:41:16,960 --> 01:41:21,599 Speaker 1: up the crisis the war in Ukraine because that that so, friends, 1889 01:41:21,680 --> 01:41:25,840 Speaker 1: has this one month campaign effectively where new rules set 1890 01:41:25,920 --> 01:41:30,240 Speaker 1: in about media time, equal access and reading an official campaign, 1891 01:41:31,000 --> 01:41:35,479 Speaker 1: and that coincided with with the war, and as you 1892 01:41:35,520 --> 01:41:39,160 Speaker 1: can imagine, the word obviously just made made the campaign 1893 01:41:39,200 --> 01:41:43,880 Speaker 1: really received, especially because especially because the president was running 1894 01:41:44,000 --> 01:41:48,200 Speaker 1: and he was on the news through through his presidential 1895 01:41:48,280 --> 01:41:52,280 Speaker 1: hat as as as as as dealing with the Ukraine crisis. 1896 01:41:52,360 --> 01:41:55,240 Speaker 1: So it really provoked a bit of a bit of 1897 01:41:55,320 --> 01:41:57,200 Speaker 1: a crisis because if you're running a campaign and no 1898 01:41:57,200 --> 01:42:01,080 Speaker 1: one's paying attention, and there was they were much fewer 1899 01:42:02,760 --> 01:42:06,800 Speaker 1: campaign on TV. There was no real uh first from 1900 01:42:06,880 --> 01:42:09,519 Speaker 1: debate between the candidates or even to the even like 1901 01:42:09,640 --> 01:42:13,360 Speaker 1: many of their surrogates. So that's an unusual campaign, even 1902 01:42:13,360 --> 01:42:17,160 Speaker 1: though to could not end up being seventy five percent, 1903 01:42:17,200 --> 01:42:19,280 Speaker 1: which is low by five standards, but obviously would be 1904 01:42:19,400 --> 01:42:22,800 Speaker 1: would be quite high in the US. But yeah, I 1905 01:42:22,880 --> 01:42:25,280 Speaker 1: mean we so so the for foreign policy to some 1906 01:42:25,439 --> 01:42:30,000 Speaker 1: degree helped rise the numbers of Manuel Macron that they 1907 01:42:30,080 --> 01:42:31,720 Speaker 1: kind of came back to earth by the end, So 1908 01:42:31,760 --> 01:42:34,200 Speaker 1: it's unclear how much of a rold that ended up playing. 1909 01:42:34,840 --> 01:42:39,000 Speaker 1: And otherwise we a lot of lot of candidates. We're 1910 01:42:39,040 --> 01:42:44,560 Speaker 1: talking a lot about inflation, about economic uh, economic opportunity 1911 01:42:44,640 --> 01:42:48,600 Speaker 1: and and and and and those issues, and that that 1912 01:42:49,160 --> 01:42:53,400 Speaker 1: helped I think clearly both the left candidate and and 1913 01:42:53,760 --> 01:42:55,760 Speaker 1: UH and Lapan who were talking a lot about that, 1914 01:42:55,920 --> 01:43:00,720 Speaker 1: against the against the incumbent right who who was who 1915 01:43:00,880 --> 01:43:04,840 Speaker 1: will obviously it's going to suffer from those issues. And Daniel, finally, 1916 01:43:04,880 --> 01:43:07,960 Speaker 1: I know you said it's dangerous to protect American politics 1917 01:43:08,080 --> 01:43:10,439 Speaker 1: onto what's happening in France. But what do you think 1918 01:43:10,479 --> 01:43:12,599 Speaker 1: that Americans should take away from this? By the way, 1919 01:43:12,680 --> 01:43:15,160 Speaker 1: I think of mccrong less like Biden. In my head, 1920 01:43:15,200 --> 01:43:17,920 Speaker 1: he's Pete Boodagi, which in my opinion is actually worse. 1921 01:43:18,040 --> 01:43:21,559 Speaker 1: But what do you think Americans should you know, take 1922 01:43:21,600 --> 01:43:25,400 Speaker 1: away from how these results have shaken out thus far, 1923 01:43:25,560 --> 01:43:28,360 Speaker 1: because I think ever since Brugsit, you know, there's a 1924 01:43:28,439 --> 01:43:30,519 Speaker 1: real interest in the American electorate in looking at these 1925 01:43:30,600 --> 01:43:34,360 Speaker 1: European elections and referendums that are going on and trying 1926 01:43:34,400 --> 01:43:36,160 Speaker 1: to read the tea leaves of what this might mean 1927 01:43:36,240 --> 01:43:38,920 Speaker 1: for our own national sentiment or for sort of you know, 1928 01:43:39,040 --> 01:43:44,720 Speaker 1: more global realignments. More broadly, do you see any learnings 1929 01:43:44,960 --> 01:43:49,400 Speaker 1: or warning signs or indicators from this election that we 1930 01:43:49,479 --> 01:43:52,400 Speaker 1: should read into our own national mood. I mean, it's 1931 01:43:53,240 --> 01:43:56,759 Speaker 1: to maybe go against what I was saying, but protecting 1932 01:43:56,800 --> 01:43:58,320 Speaker 1: one thing that we are seeing, you know a lot 1933 01:43:58,360 --> 01:44:02,720 Speaker 1: of countries is that evolution is the is the splitting 1934 01:44:02,960 --> 01:44:08,600 Speaker 1: of the vote between rural areas and urban areas and 1935 01:44:08,880 --> 01:44:13,320 Speaker 1: and and suburban areas. Obviously that's the dominance, that's a 1936 01:44:13,400 --> 01:44:16,880 Speaker 1: dominant trend in the US. We are we we we saw, 1937 01:44:17,000 --> 01:44:19,400 Speaker 1: we saw that to some extent in France yesterday again 1938 01:44:19,520 --> 01:44:22,880 Speaker 1: and that that's really something that is driving the device 1939 01:44:22,960 --> 01:44:25,040 Speaker 1: we've been talking about as well. Though. I was just 1940 01:44:25,120 --> 01:44:27,320 Speaker 1: actually seeing that the numbers this morning, and I thought 1941 01:44:27,320 --> 01:44:29,120 Speaker 1: they were interesting because they were a bit they were 1942 01:44:29,160 --> 01:44:33,200 Speaker 1: a bit less large than I thought in in rural 1943 01:44:33,280 --> 01:44:36,439 Speaker 1: areas and Madiel Macron got got twenty five percent, and 1944 01:44:36,479 --> 01:44:38,920 Speaker 1: then a bit in cities that are larger he got 1945 01:44:39,000 --> 01:44:42,280 Speaker 1: twenty nine and and Lupen was twenty to twenty seven. 1946 01:44:43,160 --> 01:44:45,400 Speaker 1: So you know, the the gaps were were not as 1947 01:44:45,479 --> 01:44:48,280 Speaker 1: quite as large as maybe we are used to seeing here, 1948 01:44:49,160 --> 01:44:52,559 Speaker 1: but in very large cities that that's that's really where 1949 01:44:52,840 --> 01:44:57,080 Speaker 1: Lupin suffers. She got five six percent in Paris and 1950 01:44:57,200 --> 01:45:00,360 Speaker 1: in in in cities that are in another city is 1951 01:45:00,400 --> 01:45:02,439 Speaker 1: maybe a bit larger. But we not that we not 1952 01:45:02,560 --> 01:45:06,200 Speaker 1: that much. So we're seeing that same kind of geographic 1953 01:45:06,439 --> 01:45:11,479 Speaker 1: division of the votes of the votes there. But I 1954 01:45:11,600 --> 01:45:13,640 Speaker 1: think what's yeah, I think what's what's interesting and that, 1955 01:45:13,800 --> 01:45:16,400 Speaker 1: but that doesn't exist in the US. Is the is 1956 01:45:16,880 --> 01:45:21,040 Speaker 1: the existence of a strong left force. What will be 1957 01:45:21,080 --> 01:45:24,439 Speaker 1: interesting for the next few years is what happens within 1958 01:45:24,920 --> 01:45:28,360 Speaker 1: the left and the traditional right. Because the center left 1959 01:45:28,479 --> 01:45:32,000 Speaker 1: was demolished this time and they added up to six 1960 01:45:32,040 --> 01:45:35,280 Speaker 1: seven percent and their their their voters went to mental 1961 01:45:35,880 --> 01:45:39,760 Speaker 1: That is going to create a lot of different pressures 1962 01:45:39,760 --> 01:45:43,559 Speaker 1: and patterns in terms of who has the who who 1963 01:45:43,680 --> 01:45:47,520 Speaker 1: gets to be the head of future lists, future candidacies. 1964 01:45:48,240 --> 01:45:50,080 Speaker 1: You know, that doesn't obviously quite exist in the US, 1965 01:45:50,120 --> 01:45:52,639 Speaker 1: but we're also seeing a lot of conversations here about 1966 01:45:52,680 --> 01:45:57,080 Speaker 1: about what should happen within within the left spaces. Yeah, 1967 01:45:57,240 --> 01:45:59,519 Speaker 1: and there are some here. Yeah, I'm just looking at 1968 01:45:59,560 --> 01:46:04,040 Speaker 1: the the age distribution as well. I mean, older voters 1969 01:46:04,120 --> 01:46:08,400 Speaker 1: over sixty five save Macron's ass and mel and Sean 1970 01:46:08,560 --> 01:46:14,080 Speaker 1: dominated really among voters under thirty five. So you know, 1971 01:46:14,200 --> 01:46:17,719 Speaker 1: you do see some echoes of some of the trends 1972 01:46:17,760 --> 01:46:20,720 Speaker 1: that we see unfolding here in America politics. Daniel, thank 1973 01:46:20,760 --> 01:46:23,800 Speaker 1: you for your breakdown. Guys. Check out Boltz magazine. He 1974 01:46:23,960 --> 01:46:26,240 Speaker 1: is doing great work there and it's great to see you. 1975 01:46:26,280 --> 01:46:28,559 Speaker 1: Thank you so much. Thanks for the analysis, very helpful. 1976 01:46:28,880 --> 01:46:31,000 Speaker 1: Thank you guys so much for watching and just as 1977 01:46:31,000 --> 01:46:34,040 Speaker 1: a reminder, Premium subscribers, you get to vote on the 1978 01:46:34,200 --> 01:46:36,080 Speaker 1: five things that we're going to cover during our live 1979 01:46:36,160 --> 01:46:39,479 Speaker 1: show in New York City. Crystal, Kyle Marshall, and myself, 1980 01:46:39,560 --> 01:46:41,960 Speaker 1: we will all be there live on YouTube. You guys 1981 01:46:42,000 --> 01:46:44,360 Speaker 1: get to program the show. And also don't forget to 1982 01:46:44,479 --> 01:46:46,760 Speaker 1: enjoy your newsletter, which is going to be in every 1983 01:46:46,840 --> 01:46:49,800 Speaker 1: premium subscriber's inbox every single day of the show. 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