1 00:00:00,720 --> 00:00:03,680 Speaker 1: Hey, guys, ready or not, twenty twenty four is here 2 00:00:03,800 --> 00:00:06,280 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:06,320 --> 00:00:08,559 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,760 --> 00:00:11,680 Speaker 1: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,680 --> 00:00:15,080 Speaker 1: the studio ad staff give you, guys, the best independent 6 00:00:15,120 --> 00:00:17,400 Speaker 1: coverage that is possible. If you like what we're all about, 7 00:00:17,640 --> 00:00:20,040 Speaker 1: it just means the absolute world to have your support. 8 00:00:20,120 --> 00:00:40,120 Speaker 1: But enough with that, let's get to the show. Good morning, everybody, 9 00:00:40,159 --> 00:00:42,920 Speaker 1: Happy Monday. We have an amazing show for everybody today. 10 00:00:42,920 --> 00:00:45,360 Speaker 1: When do we have Crystal? Indeed, we do lots of 11 00:00:45,360 --> 00:00:48,320 Speaker 1: big stories breaking this morning. We are still on Trump 12 00:00:48,440 --> 00:00:51,760 Speaker 1: indictment watch. That could come potentially at any time, so 13 00:00:51,800 --> 00:00:54,160 Speaker 1: we will keep an eye on that. Also, this comes 14 00:00:54,200 --> 00:00:57,320 Speaker 1: as he just had his first official big rally. It 15 00:00:57,360 --> 00:01:00,400 Speaker 1: was in an unusual notable place, Waco, Texas. We'll dig 16 00:01:00,400 --> 00:01:02,600 Speaker 1: into all of that. We're also going to dig into 17 00:01:02,600 --> 00:01:06,759 Speaker 1: the debate over banning TikTok, some interesting reactions, some interesting 18 00:01:06,840 --> 00:01:09,080 Speaker 1: videos to show you from the congressional hearings around that 19 00:01:09,760 --> 00:01:13,600 Speaker 1: Putin is announcing that he is moving tactical nukes into Belarus. 20 00:01:13,959 --> 00:01:16,680 Speaker 1: What will that mean? What are the dangers there? Also 21 00:01:16,800 --> 00:01:20,000 Speaker 1: the US with new airstrikes in Syria. What the hell 22 00:01:20,040 --> 00:01:22,479 Speaker 1: are we even doing in Syria at this point? Great question. 23 00:01:22,600 --> 00:01:24,640 Speaker 1: We can dive into that as well. And a new 24 00:01:24,720 --> 00:01:28,280 Speaker 1: report about all of the grifters from the US who 25 00:01:28,360 --> 00:01:32,360 Speaker 1: have flocked to Ukraine, including one Malcolm Nance. Also very 26 00:01:32,400 --> 00:01:34,840 Speaker 1: excited to talk to Tim Urban on the show today. 27 00:01:34,840 --> 00:01:36,960 Speaker 1: He's out with a book called What's Our Problem that 28 00:01:37,000 --> 00:01:38,560 Speaker 1: has gotten a lot of attention that I know many 29 00:01:38,600 --> 00:01:42,240 Speaker 1: of you have been really interested in as well. Yeah, 30 00:01:42,280 --> 00:01:44,400 Speaker 1: that's right, and don't forget We've got the premium show 31 00:01:44,440 --> 00:01:46,000 Speaker 1: on Spotify. I know a lot of you guys have 32 00:01:46,040 --> 00:01:48,160 Speaker 1: been taking advantage of that. So at Breakingpoints dot Com 33 00:01:48,200 --> 00:01:50,840 Speaker 1: you can watch the full premium show there on Spotify. 34 00:01:51,000 --> 00:01:53,040 Speaker 1: We are reducing the lag time and all of that 35 00:01:53,320 --> 00:01:55,240 Speaker 1: as best as we possibly can. Shout out to the 36 00:01:55,280 --> 00:01:57,880 Speaker 1: team at Supercast and at Spotify for supporting us. I 37 00:01:57,960 --> 00:02:00,600 Speaker 1: know that they want us to build an awesome alternative 38 00:02:00,640 --> 00:02:02,880 Speaker 1: so that you can have and watch the show anywhere 39 00:02:02,880 --> 00:02:04,919 Speaker 1: that you want. So there you go, Breakingpoints dot Com 40 00:02:04,920 --> 00:02:07,160 Speaker 1: for premium. And one last thing before we dive into 41 00:02:07,160 --> 00:02:08,919 Speaker 1: the show, Sagawater and to tell the people why you're 42 00:02:08,919 --> 00:02:11,760 Speaker 1: not in the studio today. Yes, that's right, Today's kind 43 00:02:11,760 --> 00:02:14,400 Speaker 1: of a promotion day for breaking Points Crystals on Russell 44 00:02:14,440 --> 00:02:17,040 Speaker 1: Brand's show. I'm going on the Flagrant podcast. So I'm 45 00:02:17,080 --> 00:02:19,560 Speaker 1: here in New York City. I can offer a little 46 00:02:19,560 --> 00:02:23,160 Speaker 1: bit of eyewitness accounts about the security situation in midtown 47 00:02:23,200 --> 00:02:26,680 Speaker 1: Manhattan whenever we talk about the possible Trump indictment block 48 00:02:26,720 --> 00:02:28,160 Speaker 1: and all of that. So I'm on the ground for 49 00:02:28,200 --> 00:02:31,320 Speaker 1: you folks. But more importantly, Crystal and I are getting 50 00:02:31,360 --> 00:02:33,120 Speaker 1: out there and making sure that people can hear the 51 00:02:33,160 --> 00:02:35,600 Speaker 1: awesome news about what we're doing here and bringing people 52 00:02:35,639 --> 00:02:37,760 Speaker 1: the news. There you go. I'm sure it's going to 53 00:02:37,800 --> 00:02:39,920 Speaker 1: be a great podcast. I can't wait to watch it myself. 54 00:02:39,919 --> 00:02:42,000 Speaker 1: All right, let's get to the news here. Big Trump 55 00:02:42,120 --> 00:02:45,240 Speaker 1: rally over the weekend, as I said, happening in Waco, Texas, 56 00:02:45,600 --> 00:02:47,200 Speaker 1: at the same time that we're right in the middle 57 00:02:47,360 --> 00:02:50,200 Speaker 1: of the thirtieth anniversary of the Siege of Waco. So 58 00:02:50,280 --> 00:02:52,160 Speaker 1: a lot of people drawing the parallels with Trump trying 59 00:02:52,160 --> 00:02:56,440 Speaker 1: to make a point about government overreach and persecution, just 60 00:02:56,520 --> 00:02:59,600 Speaker 1: as of course it was outrageous government overreach and persecution 61 00:02:59,639 --> 00:03:04,000 Speaker 1: thirty years ago. Some pretty wild sounds coming out of 62 00:03:04,040 --> 00:03:07,520 Speaker 1: that rally. That's start with potentially the wildest moment, which 63 00:03:07,639 --> 00:03:12,239 Speaker 1: was Ted Nugent calling Zelensky some names. Let's take a 64 00:03:12,280 --> 00:03:16,440 Speaker 1: listen to that. I want my money back. I did 65 00:03:16,480 --> 00:03:20,320 Speaker 1: not authorize any money to Ukraine to some homosexual weight weirdo. 66 00:03:23,040 --> 00:03:28,239 Speaker 1: I want my money back. What you think of that one, Sagar? Yeah, 67 00:03:28,360 --> 00:03:31,760 Speaker 1: I mean, you know, I'm against a lot of additional 68 00:03:31,760 --> 00:03:36,480 Speaker 1: a t Ukraine. I'm definitely skeptical of Celenski, but in 69 00:03:36,560 --> 00:03:40,000 Speaker 1: terms of ad hominem attacks and all that, it doesn't 70 00:03:40,040 --> 00:03:43,000 Speaker 1: seem like this one, is it. If anything, Ten, I 71 00:03:43,040 --> 00:03:46,520 Speaker 1: think you're not doing the skeptical case for Ukraine aid 72 00:03:46,640 --> 00:03:50,320 Speaker 1: any favors by acting as well. Yes, fair, Yeah, And 73 00:03:50,400 --> 00:03:53,520 Speaker 1: also it's such a throwback to like, you know, twenty 74 00:03:53,600 --> 00:03:55,680 Speaker 1: years ago or thirty years ago, to just be like 75 00:03:55,920 --> 00:03:59,040 Speaker 1: call people gay as some sort of a slur. Anyway, 76 00:03:59,080 --> 00:04:02,280 Speaker 1: that was Ted Nugent. How things got kicked off. But 77 00:04:02,400 --> 00:04:04,720 Speaker 1: you know a lot of people were watching the rally 78 00:04:04,760 --> 00:04:07,520 Speaker 1: speech from Trump himself to see exactly what he would 79 00:04:07,520 --> 00:04:12,000 Speaker 1: say about his own potential prosecution and indictment and also 80 00:04:12,120 --> 00:04:16,279 Speaker 1: about his potential opponent here, Ron DeSantis. Let's take a 81 00:04:16,320 --> 00:04:20,000 Speaker 1: listen to Trump going in on DeSantis, and also the 82 00:04:20,080 --> 00:04:22,400 Speaker 1: crowd reaction, which was interesting as well. Take a listen. 83 00:04:22,720 --> 00:04:25,360 Speaker 1: When a man comes to me, tears in his eyes. 84 00:04:27,040 --> 00:04:30,320 Speaker 1: He said, almost nothing in the palls, and he's fighting 85 00:04:30,360 --> 00:04:33,039 Speaker 1: somebody that said forty two and he's got almost thirty 86 00:04:33,080 --> 00:04:36,080 Speaker 1: million dollars in the bank. He said, almost nothing. He's 87 00:04:36,120 --> 00:04:39,240 Speaker 1: got no cash. And I said, I can't give you 88 00:04:39,279 --> 00:04:41,880 Speaker 1: an endorsement. There's no way you can win. You're dead. 89 00:04:42,920 --> 00:04:44,760 Speaker 1: But he fought a little bit, like one hundred and 90 00:04:44,800 --> 00:04:47,360 Speaker 1: fifty who certainly know Jim Jordan that I can tell you. 91 00:04:47,880 --> 00:04:50,680 Speaker 1: He fought a little bit, just a little bit on 92 00:04:50,920 --> 00:04:54,600 Speaker 1: impeachment hoax number one, impeachment hoaks number two, meaning on television. 93 00:04:54,720 --> 00:04:57,240 Speaker 1: Because I didn't know him very well, but I saw him. 94 00:04:57,240 --> 00:04:59,479 Speaker 1: So he came and he really wanted I said, you 95 00:04:59,520 --> 00:05:02,120 Speaker 1: can't win. Can you how he can win? Sir? If 96 00:05:02,160 --> 00:05:06,159 Speaker 1: you endorse me, I'll win. Please, please, sir, endorse me. 97 00:05:07,400 --> 00:05:10,600 Speaker 1: I said, let's give it a shot. Ron and I 98 00:05:10,720 --> 00:05:14,080 Speaker 1: endorsed him, and he became like a rocket ship. Within 99 00:05:14,160 --> 00:05:17,880 Speaker 1: one day, the race was over. He got denomination. Now 100 00:05:17,920 --> 00:05:21,080 Speaker 1: he's been telling this story about Rond de Santis for 101 00:05:21,120 --> 00:05:23,120 Speaker 1: a while. Now it seems to get more and more 102 00:05:23,160 --> 00:05:25,560 Speaker 1: over the top every time he tells that the tears 103 00:05:25,600 --> 00:05:28,880 Speaker 1: were streaming from his eyes. The crowd is kind of quiet. 104 00:05:28,960 --> 00:05:31,279 Speaker 1: They did chuckle like, kind of in spite of themselves 105 00:05:31,320 --> 00:05:33,320 Speaker 1: at one point when he was talking about the whole 106 00:05:33,440 --> 00:05:36,840 Speaker 1: endorsement situation. Certainly not the same as the way he 107 00:05:36,880 --> 00:05:39,080 Speaker 1: would get the crowd going with his attacks on Hillary. 108 00:05:39,440 --> 00:05:41,560 Speaker 1: But you know, they stand there and they listen to it, 109 00:05:41,640 --> 00:05:43,800 Speaker 1: and I think it shows once again, Sager, that while 110 00:05:43,839 --> 00:05:46,559 Speaker 1: he is out there, you know, saying whatever he wants 111 00:05:46,560 --> 00:05:49,520 Speaker 1: about Rond de Santis, DeSantis is kind of, you know, 112 00:05:49,720 --> 00:05:52,560 Speaker 1: take a little jab here or there, but really not 113 00:05:52,920 --> 00:05:55,920 Speaker 1: anywhere near in the fight the way the Trump is well, 114 00:05:55,960 --> 00:05:58,239 Speaker 1: didn't you hear, Crystal is silly season. It's a ficial 115 00:05:59,440 --> 00:06:02,640 Speaker 1: and that's what this is. Look I mean, in terms 116 00:06:02,680 --> 00:06:06,120 Speaker 1: of the crowd reaction, Ron DeSantis is still viewed fondly 117 00:06:06,200 --> 00:06:09,320 Speaker 1: amongst many Republicans. Nobody hates Rond de Santis, even in 118 00:06:09,360 --> 00:06:12,480 Speaker 1: the way that many people came to hate Ted Cruz. However, 119 00:06:12,560 --> 00:06:15,080 Speaker 1: that came after a prolonged battle. Wei should also remember 120 00:06:15,279 --> 00:06:17,640 Speaker 1: Ted did come in second in the GOP primary, and 121 00:06:17,640 --> 00:06:20,520 Speaker 1: there was a significant amount of overlap between Ted Cruz 122 00:06:20,600 --> 00:06:23,479 Speaker 1: voters and Trump voters that ultimately sealed the deal for 123 00:06:23,520 --> 00:06:25,720 Speaker 1: Trump with the primary, and of course all of them 124 00:06:25,720 --> 00:06:28,279 Speaker 1: showed up to vote for him in twenty sixteen. So 125 00:06:28,640 --> 00:06:31,919 Speaker 1: I would not take a lot of this crowd reaction. 126 00:06:32,240 --> 00:06:34,480 Speaker 1: The fact that they didn't boo is probable and are 127 00:06:34,520 --> 00:06:36,440 Speaker 1: really just willing to sit there and let kind of 128 00:06:36,440 --> 00:06:39,400 Speaker 1: Trump air his grievances. I think that is still a 129 00:06:39,440 --> 00:06:41,680 Speaker 1: potent symbol. And look, we can just all we need 130 00:06:41,720 --> 00:06:44,000 Speaker 1: to do is state take a step back, look at 131 00:06:44,000 --> 00:06:47,440 Speaker 1: the polling. GOP. National polling across the board has been 132 00:06:47,520 --> 00:06:50,919 Speaker 1: terrible for Ron DeSantis. DeSantis's allies are out, you know, 133 00:06:50,960 --> 00:06:53,240 Speaker 1: with recent like head to head poles which show him 134 00:06:53,279 --> 00:06:56,159 Speaker 1: either tied in some of the early states. I actually 135 00:06:56,200 --> 00:06:58,680 Speaker 1: find that kind of nefarious for a couple of reasons, 136 00:06:58,720 --> 00:07:01,040 Speaker 1: which is, since when did can we imagine this was 137 00:07:01,080 --> 00:07:02,640 Speaker 1: going to be a head to head race? Like you 138 00:07:02,680 --> 00:07:05,159 Speaker 1: can't say, well, head to head, you know, I'm tied 139 00:07:05,240 --> 00:07:07,800 Speaker 1: with this person, but okay, that's great, but you know, 140 00:07:08,240 --> 00:07:11,160 Speaker 1: head to head, Ted Cruz would have beat Trump in 141 00:07:11,280 --> 00:07:13,640 Speaker 1: Iowa and in New Hampshire, but it wasn't head to 142 00:07:13,680 --> 00:07:15,760 Speaker 1: head because there are multiple other candidates in the race, 143 00:07:15,880 --> 00:07:18,920 Speaker 1: and there are already multiple other candidates here in the race. 144 00:07:18,960 --> 00:07:22,120 Speaker 1: So look, the strategy is working. He's locking his people down. 145 00:07:22,320 --> 00:07:26,080 Speaker 1: Overall GOP national polls are not very good for Ron DeSantis, 146 00:07:26,160 --> 00:07:27,920 Speaker 1: the fact that people are willing to sit through them, 147 00:07:28,080 --> 00:07:30,920 Speaker 1: and you know, you can't deny from Trump's position, the 148 00:07:31,000 --> 00:07:32,920 Speaker 1: reason that he's doing this is to show what the 149 00:07:32,960 --> 00:07:36,560 Speaker 1: power dynamic is. He's like, no, you serve me, not 150 00:07:36,760 --> 00:07:39,080 Speaker 1: the other way around. You can't be my successor if 151 00:07:39,120 --> 00:07:41,200 Speaker 1: I'm the one who's in the race and I'm the 152 00:07:41,240 --> 00:07:43,720 Speaker 1: one who anointed you. I've told you in the audience 153 00:07:43,760 --> 00:07:47,800 Speaker 1: before I interviewed Trump right after the twenty eighteen elections, 154 00:07:47,840 --> 00:07:49,480 Speaker 1: was one of the first people to actually interview him 155 00:07:49,840 --> 00:07:52,600 Speaker 1: about his midterm performance, the very first, even though it 156 00:07:52,600 --> 00:07:54,800 Speaker 1: was a disaster for him, of course, but guess what, 157 00:07:55,200 --> 00:07:57,520 Speaker 1: even then in twenty eighteen, he said, look at this guy, 158 00:07:57,640 --> 00:08:00,960 Speaker 1: Ron DeSantis, he was nothing. I endorsed him. He shot up. 159 00:08:01,000 --> 00:08:03,440 Speaker 1: This has been deep in his mind now for years. 160 00:08:03,440 --> 00:08:05,560 Speaker 1: So I mean that was almost four or five years ago. Well, 161 00:08:05,600 --> 00:08:07,480 Speaker 1: you're one hundred percent correct that it's all about the 162 00:08:07,520 --> 00:08:10,000 Speaker 1: power dynamic. I mean to show him you know, the 163 00:08:10,000 --> 00:08:13,200 Speaker 1: way that Trump paints it as DeSantis is practically they're 164 00:08:13,320 --> 00:08:16,200 Speaker 1: groveling with tears streaming down his face, and he knows 165 00:08:16,200 --> 00:08:19,960 Speaker 1: he's nothing without me. It's an absolute sort of like 166 00:08:20,080 --> 00:08:25,680 Speaker 1: alpha power move. And DeSantis basically has decided and I'm 167 00:08:25,720 --> 00:08:28,600 Speaker 1: not sure this is even the wrong choice to effectively 168 00:08:28,640 --> 00:08:31,640 Speaker 1: take it. And you know, I've been thinking a lot 169 00:08:31,680 --> 00:08:34,360 Speaker 1: about this saga because like, okay, what would be a 170 00:08:34,400 --> 00:08:36,719 Speaker 1: better strategy for him? And I'm not sure that there 171 00:08:36,800 --> 00:08:39,640 Speaker 1: is one, because it's not like DeSantis can compete with 172 00:08:39,679 --> 00:08:43,880 Speaker 1: Trump on this terrain. It's not like everybody who tried 173 00:08:44,040 --> 00:08:46,400 Speaker 1: to get down in the mud with Trump in twenty 174 00:08:46,440 --> 00:08:50,640 Speaker 1: sixteen ended up just getting instantly obliterated. So probably his 175 00:08:50,800 --> 00:08:54,400 Speaker 1: best option is what he's doing, which is to kind 176 00:08:54,400 --> 00:08:56,679 Speaker 1: of stay quiet, to kind of, you know, take a 177 00:08:56,720 --> 00:08:58,640 Speaker 1: little bit of a job to show he's just not 178 00:08:58,880 --> 00:09:01,360 Speaker 1: completely getting rolled over by this dude, and that he 179 00:09:01,440 --> 00:09:03,640 Speaker 1: is taking notice and that he has some ability to 180 00:09:03,679 --> 00:09:08,560 Speaker 1: punch back, but to hope that some other circumstance takes 181 00:09:08,559 --> 00:09:10,640 Speaker 1: Trump down, that he has nothing to do with and 182 00:09:10,679 --> 00:09:15,200 Speaker 1: that he's basically their second in line. If that does happen, 183 00:09:15,240 --> 00:09:17,679 Speaker 1: that probably is his best play, And I think what 184 00:09:17,720 --> 00:09:20,120 Speaker 1: you bring up with Ted Cruz is a really good point. Now, 185 00:09:20,160 --> 00:09:22,400 Speaker 1: I do think Ron DeSantis is in a better position 186 00:09:22,440 --> 00:09:26,280 Speaker 1: than Ted Cruz ever was. But it's easy to forget 187 00:09:26,320 --> 00:09:28,800 Speaker 1: how much of a darling Ted Cruz was with the 188 00:09:28,840 --> 00:09:31,679 Speaker 1: Republican base during the Tea Party era. I mean, he 189 00:09:31,800 --> 00:09:35,839 Speaker 1: also had his own national brand and identity and you know, 190 00:09:35,960 --> 00:09:39,040 Speaker 1: a lot of warm feelings among a lot of Republican voters, 191 00:09:39,480 --> 00:09:43,120 Speaker 1: and ultimately it really didn't matter once Trump decided to 192 00:09:43,320 --> 00:09:47,640 Speaker 1: light into him. It was basically all over. While DeSantis 193 00:09:47,640 --> 00:09:50,400 Speaker 1: and his allies may be citing a few new poles 194 00:09:50,440 --> 00:09:53,200 Speaker 1: one out of Iowa, one out of New Hampshire, Trump 195 00:09:53,200 --> 00:09:56,080 Speaker 1: but the rally had his own favorite poll that he 196 00:09:56,200 --> 00:10:00,319 Speaker 1: decided to tout. This was literally a Twitter poll by 197 00:10:00,360 --> 00:10:03,600 Speaker 1: a Twitter user named I Kid You not Cat turned 198 00:10:03,640 --> 00:10:09,760 Speaker 1: two that Trump cites favorably. At this rally tagalism. You'll 199 00:10:09,800 --> 00:10:13,080 Speaker 1: see some numbers that are incredible. You'll see some numbers 200 00:10:13,080 --> 00:10:17,960 Speaker 1: that we just had one today sixteen Trump and I 201 00:10:18,000 --> 00:10:24,400 Speaker 1: think nineteen to shake themonius. Yeah, we were at sixty 202 00:10:24,480 --> 00:10:28,640 Speaker 1: nine and one today. Classic there, classic move, citing a 203 00:10:28,880 --> 00:10:34,120 Speaker 1: literal Twitter poll as evidence of his dominance in the race. Amazing. Yeah, 204 00:10:34,120 --> 00:10:36,120 Speaker 1: a little too much emphasis there from Trump on the 205 00:10:36,400 --> 00:10:40,240 Speaker 1: sixty nine. I mean, look, with Trump, he'll take my 206 00:10:40,320 --> 00:10:41,960 Speaker 1: favorite thing. When he was in office, he'd be like 207 00:10:42,080 --> 00:10:45,120 Speaker 1: ninety eight percent of Republican support Trump, thank you. And 208 00:10:45,160 --> 00:10:46,840 Speaker 1: it would come from a poll that showed him at 209 00:10:46,880 --> 00:10:51,360 Speaker 1: like thirty two percent approval, but with ninety percent with Trump, listen, 210 00:10:51,400 --> 00:10:53,880 Speaker 1: I mean, no matter what the numbers are. I've also 211 00:10:53,920 --> 00:10:55,720 Speaker 1: been thinking a lot about it too. I got a 212 00:10:55,760 --> 00:10:58,320 Speaker 1: very thoughtful message from somebody who's been watching the show 213 00:10:58,360 --> 00:11:00,920 Speaker 1: for a long time, Chrisonally. He said, you and Crystal 214 00:11:01,120 --> 00:11:04,320 Speaker 1: were big advocates for Bernie Sanders to go after Joe 215 00:11:04,360 --> 00:11:07,599 Speaker 1: Biden in two thousand and sixty or twenty twenty in 216 00:11:07,640 --> 00:11:09,960 Speaker 1: the primary, So why are you not saying the same 217 00:11:09,960 --> 00:11:12,880 Speaker 1: thing about DeSantis. Well, I think it's important to note 218 00:11:12,880 --> 00:11:16,480 Speaker 1: that Joe Biden never had the level of approval amongst 219 00:11:16,480 --> 00:11:20,160 Speaker 1: a Democratic base, and still doesn't that Donald Trump exactly. 220 00:11:20,280 --> 00:11:23,079 Speaker 1: That still doesn't that Donald Trump did in terms of 221 00:11:23,120 --> 00:11:26,440 Speaker 1: his beloved nature, and so that's why I think it 222 00:11:26,440 --> 00:11:28,120 Speaker 1: would backfire. In fact, one of the things that we 223 00:11:28,160 --> 00:11:30,840 Speaker 1: really identified at that time was that there was an 224 00:11:30,880 --> 00:11:34,800 Speaker 1: opening for a critique against Biden in the primary with 225 00:11:34,840 --> 00:11:37,400 Speaker 1: a certain subset of voters that could have resonated in 226 00:11:37,400 --> 00:11:40,120 Speaker 1: some of those early states that Bernie explicitly chose not 227 00:11:40,240 --> 00:11:43,040 Speaker 1: to take, whereas in this case with DeSantis, there is 228 00:11:43,080 --> 00:11:46,560 Speaker 1: not the similar opening lane of Republicans who want to 229 00:11:46,600 --> 00:11:50,160 Speaker 1: hear a criticism of Trump. And mainly the reason is 230 00:11:50,520 --> 00:11:53,680 Speaker 1: that many Republicans conflate any criticism of Trump. And by 231 00:11:53,720 --> 00:11:55,080 Speaker 1: the way, I'm not saying this is a correct thing. 232 00:11:55,120 --> 00:11:56,800 Speaker 1: I don't think it should be this way, but they 233 00:11:56,840 --> 00:12:00,400 Speaker 1: conflate that with going soft being a tool of the left, 234 00:12:00,760 --> 00:12:03,280 Speaker 1: part of the reason why people hate Liz Cheney and 235 00:12:03,480 --> 00:12:07,200 Speaker 1: really any tepic criticism of Trump whatsoever. So it's one 236 00:12:07,240 --> 00:12:09,120 Speaker 1: of those where he is in just such a pickle 237 00:12:09,160 --> 00:12:11,320 Speaker 1: that I agree with you, he's probably doing the best 238 00:12:11,360 --> 00:12:14,280 Speaker 1: thing he possibly can. But that just illustrates to me 239 00:12:14,360 --> 00:12:16,760 Speaker 1: where as long as Trump is in the race, like, 240 00:12:16,800 --> 00:12:19,240 Speaker 1: it's just not going to happen, and I can't imagine 241 00:12:19,280 --> 00:12:21,440 Speaker 1: to try to subject myself to all of this. I mean, 242 00:12:21,760 --> 00:12:24,000 Speaker 1: this answer is a young man. He's like forty forty 243 00:12:24,040 --> 00:12:27,080 Speaker 1: three years old, his small children. It's like, why would 244 00:12:27,120 --> 00:12:29,199 Speaker 1: you want to go through this? Yeah. Well, I mean 245 00:12:29,240 --> 00:12:31,320 Speaker 1: that's a great segue into the next piece. But before 246 00:12:31,360 --> 00:12:32,720 Speaker 1: we get to it, I did want to ask you, sar, 247 00:12:32,800 --> 00:12:34,600 Speaker 1: what'd you think of the choice of Waco, Texas for 248 00:12:34,640 --> 00:12:38,600 Speaker 1: this rally? Oh? Very smart actually, because you know, obviously 249 00:12:38,640 --> 00:12:40,839 Speaker 1: we cover we had David Thibodeau on the show, The 250 00:12:40,880 --> 00:12:44,079 Speaker 1: Waco Survivor. The segment did incredibly well, and it's not 251 00:12:44,120 --> 00:12:47,440 Speaker 1: a surprise. There's still quite a bit of organic, I 252 00:12:47,440 --> 00:12:50,480 Speaker 1: would say, interest in what happened at Waco, and especially 253 00:12:50,520 --> 00:12:52,480 Speaker 1: with the rise of the Internet and the ability for 254 00:12:52,520 --> 00:12:55,400 Speaker 1: a newer generation people like us whose lives weren't defined 255 00:12:55,400 --> 00:12:57,880 Speaker 1: by Waco as a seminal political event, to kind of 256 00:12:57,880 --> 00:13:00,240 Speaker 1: re examine it in the cold light of day, and 257 00:13:00,280 --> 00:13:03,120 Speaker 1: everybody's like, this was a complete disaster. So I think 258 00:13:03,160 --> 00:13:05,720 Speaker 1: it was a smart move, especially you know, politically, trying 259 00:13:05,760 --> 00:13:08,800 Speaker 1: to conflate it with January six and look at government overreach, 260 00:13:08,840 --> 00:13:12,000 Speaker 1: which is something that the base feels especially passionate about. 261 00:13:12,120 --> 00:13:13,959 Speaker 1: Let me spend a second there too, which is a 262 00:13:14,000 --> 00:13:16,040 Speaker 1: lot of people talked about. They're like, why is Trump 263 00:13:16,280 --> 00:13:19,320 Speaker 1: talking about January six when clearly, you know, MAGA stopped 264 00:13:19,320 --> 00:13:21,320 Speaker 1: the steal and all that was such a disaster for 265 00:13:21,400 --> 00:13:23,400 Speaker 1: him in the mid terms. I actually agree with that, 266 00:13:23,559 --> 00:13:27,120 Speaker 1: but that's general election analysis, that's not primary analysis. That's 267 00:13:27,160 --> 00:13:29,839 Speaker 1: right amongst the primary, amongst the base, people who watch 268 00:13:29,880 --> 00:13:33,240 Speaker 1: Tucker Carlson every single night, amongst the Fox News dads, 269 00:13:33,360 --> 00:13:38,120 Speaker 1: they are obsessed with January six, with the political persecution 270 00:13:38,400 --> 00:13:40,320 Speaker 1: and all that. So it's an easy way for him 271 00:13:40,480 --> 00:13:44,160 Speaker 1: to again conflate the entire Republican movement and persecution of 272 00:13:44,240 --> 00:13:47,199 Speaker 1: them and himself as a bulwark against the left and 273 00:13:47,240 --> 00:13:49,800 Speaker 1: elevate him once again over Ron DeSantis. Well, this is 274 00:13:49,840 --> 00:13:53,040 Speaker 1: the thing that Trump does so effectively and has always 275 00:13:53,040 --> 00:13:57,960 Speaker 1: done so effectively. He defines and selects the landscape of 276 00:13:58,080 --> 00:14:01,360 Speaker 1: issues that he wants to make central to a political 277 00:14:01,440 --> 00:14:05,280 Speaker 1: campaign and forces people to pick a side, to be 278 00:14:05,360 --> 00:14:07,960 Speaker 1: on one side or the other. And with regards to 279 00:14:08,360 --> 00:14:11,280 Speaker 1: the midterms, which yeah, we're you know, really ended up 280 00:14:11,280 --> 00:14:13,400 Speaker 1: being kind of a disaster for Trump and the candidates 281 00:14:13,720 --> 00:14:17,640 Speaker 1: that he endorsed, But in terms of the Republican primaries 282 00:14:17,760 --> 00:14:21,480 Speaker 1: leading into those midterms, Stop the Deal was one of 283 00:14:21,480 --> 00:14:25,520 Speaker 1: the key issues, if not the key issue. He managed 284 00:14:25,560 --> 00:14:28,720 Speaker 1: to make it the central dividing line in the Republican 285 00:14:28,800 --> 00:14:32,400 Speaker 1: Party and it's one that is very difficult for candidates 286 00:14:32,440 --> 00:14:35,640 Speaker 1: like Ronda Santis who want to maintain elite donor support 287 00:14:35,960 --> 00:14:39,760 Speaker 1: to try to navigate. So it's another for him. I mean, yeah, 288 00:14:39,800 --> 00:14:41,400 Speaker 1: I think it will be horrible for him in the 289 00:14:41,400 --> 00:14:43,560 Speaker 1: general election. I think it's horrible for the country, But 290 00:14:43,680 --> 00:14:46,960 Speaker 1: in terms of a Republican primary electorate, this is an 291 00:14:47,000 --> 00:14:49,680 Speaker 1: issue that's very beneficial to him. So you can see 292 00:14:49,680 --> 00:14:52,160 Speaker 1: the way that he's sort of already setting the table 293 00:14:52,720 --> 00:14:55,960 Speaker 1: with his position on Ukraine, which again Rond Dea Santis 294 00:14:55,960 --> 00:14:59,480 Speaker 1: has struggled to navigate. He sounded very different depending on 295 00:14:59,480 --> 00:15:01,840 Speaker 1: the day and depending on the interview, even though I 296 00:15:01,880 --> 00:15:04,400 Speaker 1: think if you look at his comments in totality, I 297 00:15:04,400 --> 00:15:07,920 Speaker 1: don't think they're directly contradictory of one another, but clearly 298 00:15:08,000 --> 00:15:11,240 Speaker 1: the tone was different with Tucker Carlson versus when he 299 00:15:11,320 --> 00:15:15,120 Speaker 1: was sitting with Piers Morgan, and it becomes clear that 300 00:15:15,320 --> 00:15:17,360 Speaker 1: you know, he's leaving himself some wiggle room and looking 301 00:15:17,440 --> 00:15:20,560 Speaker 1: kind of like a typical politician trying to navigate Ukraine. 302 00:15:20,640 --> 00:15:22,880 Speaker 1: So that's been a difficult one for him. The other 303 00:15:22,960 --> 00:15:25,480 Speaker 1: one that I think is so intelligent, and that is 304 00:15:25,640 --> 00:15:27,800 Speaker 1: in a lot of ways going back to classic Trump 305 00:15:27,840 --> 00:15:31,440 Speaker 1: twenty sixteen, is him leaning into social Security and Medicare 306 00:15:31,600 --> 00:15:33,400 Speaker 1: and very much like which side are you on on 307 00:15:33,440 --> 00:15:36,840 Speaker 1: that one? That's another really challenging one for Ronda Santis, 308 00:15:36,880 --> 00:15:40,920 Speaker 1: but also basically every other potential Republican contender in the field. 309 00:15:41,320 --> 00:15:43,480 Speaker 1: And then when you throw stop the Steel into that 310 00:15:43,560 --> 00:15:45,640 Speaker 1: mix again, that's a difficult one. That's going to be 311 00:15:45,640 --> 00:15:47,600 Speaker 1: a difficult one for Mike Pence, that's going to be 312 00:15:47,600 --> 00:15:49,480 Speaker 1: a difficult one with for Nikki Haley. That's going to 313 00:15:49,520 --> 00:15:52,520 Speaker 1: be a difficult one for Ronda Santis because this is 314 00:15:52,560 --> 00:15:54,480 Speaker 1: an issue where they're going to try to have it 315 00:15:54,520 --> 00:15:57,320 Speaker 1: both ways. They're going to try to do some version 316 00:15:57,440 --> 00:15:59,600 Speaker 1: of the what you always call the high browse stop 317 00:15:59,640 --> 00:16:03,120 Speaker 1: the steal, and that is not going to be acceptable 318 00:16:03,200 --> 00:16:05,360 Speaker 1: to the base. And Trump is not going to let 319 00:16:05,400 --> 00:16:10,040 Speaker 1: that slide. So I think the landscape of issues that 320 00:16:10,120 --> 00:16:13,000 Speaker 1: he is laid out is making it very difficult for 321 00:16:13,200 --> 00:16:15,480 Speaker 1: Ronda Santis and all of these other contenders to try 322 00:16:15,520 --> 00:16:19,600 Speaker 1: to navigate. Yeah, I think you're right on that, Crystal, 323 00:16:19,960 --> 00:16:22,320 Speaker 1: all right, So let's get to it's not just us 324 00:16:22,520 --> 00:16:26,960 Speaker 1: that have some questions about whether Ronda Santis will be 325 00:16:27,000 --> 00:16:30,640 Speaker 1: able to ultimately succeed in this Republican primary, and whether 326 00:16:30,680 --> 00:16:33,120 Speaker 1: there's really any move on the chessboard that he could 327 00:16:33,160 --> 00:16:38,000 Speaker 1: make that would enable his victory without some extra exogynous 328 00:16:38,080 --> 00:16:43,320 Speaker 1: event occurring to effectively take Trump out of the running gun. 329 00:16:43,440 --> 00:16:45,680 Speaker 1: Put this up on the screen. This is a report 330 00:16:45,920 --> 00:16:50,160 Speaker 1: from NBC News. The headline here is Ron DeSantis's donors 331 00:16:50,200 --> 00:16:53,760 Speaker 1: and allies question if he's ready for twenty twenty four. 332 00:16:54,200 --> 00:16:57,240 Speaker 1: They say, at a recent gathering of sixteen prominent Republicans, 333 00:16:57,240 --> 00:17:01,480 Speaker 1: a number of DeSantis supporters discussed if he should run 334 00:17:01,520 --> 00:17:05,199 Speaker 1: against Trump or wait until twenty twenty eight. Let me 335 00:17:05,280 --> 00:17:07,959 Speaker 1: read a bit of this report because I think it 336 00:17:08,040 --> 00:17:13,240 Speaker 1: is quite stunning. One of the individuals strategists they interviewed 337 00:17:13,240 --> 00:17:16,200 Speaker 1: for this had I thought a really great quote. He said, 338 00:17:16,280 --> 00:17:19,080 Speaker 1: DeSantis is doing a book tour, he's barnstorming the country, 339 00:17:19,080 --> 00:17:22,080 Speaker 1: and his polls are going down. Meanwhile, Trump's potentially under 340 00:17:22,119 --> 00:17:24,760 Speaker 1: indictment and Trump's going up. It's just not a good 341 00:17:24,760 --> 00:17:28,240 Speaker 1: look for DeSantis. The piece begins by saying, Ron DeSantis 342 00:17:28,240 --> 00:17:30,880 Speaker 1: maybe missing his moment. A number of the Florida governor's 343 00:17:30,880 --> 00:17:33,720 Speaker 1: donors and allies are worried his recent stumbles suggests he 344 00:17:33,800 --> 00:17:36,320 Speaker 1: might not be ready for a brutal fight against Trump. 345 00:17:36,680 --> 00:17:39,680 Speaker 1: Some feel he needs to accelerate his timeline to run 346 00:17:39,720 --> 00:17:42,920 Speaker 1: for the GUP presidential nomination and begin directly confronting Trump 347 00:17:42,960 --> 00:17:46,600 Speaker 1: if sees to have any chance of thwarting the president's 348 00:17:46,640 --> 00:17:49,840 Speaker 1: former president's momentum. Others believe DeSantis should just stude step 349 00:17:49,840 --> 00:17:53,000 Speaker 1: Trump altogether and wait until twenty twenty eight to run. 350 00:17:53,920 --> 00:17:56,000 Speaker 1: This was based on some reporting they did at this 351 00:17:56,320 --> 00:18:00,440 Speaker 1: Sunday luncheon following a Red Cross ball in Palm Beach, Florida. 352 00:18:00,480 --> 00:18:02,199 Speaker 1: So this was in Florida. This was again not a 353 00:18:02,200 --> 00:18:04,520 Speaker 1: bunch of Trump backers. These are DeSantis people, or at 354 00:18:04,600 --> 00:18:09,080 Speaker 1: least Desanti's friendly. One attendee, you know, describe them as 355 00:18:09,119 --> 00:18:11,840 Speaker 1: a mix of DeSantis backers and Trump's skeptics, and they 356 00:18:11,840 --> 00:18:15,200 Speaker 1: were all discussing misgivings about the governor standing for the future. 357 00:18:15,840 --> 00:18:18,280 Speaker 1: They liked him, many of them might even support him. 358 00:18:18,320 --> 00:18:20,200 Speaker 1: The person who was at the event set of DeSantis, 359 00:18:20,200 --> 00:18:22,760 Speaker 1: but they thought on ballots his long term future was 360 00:18:22,800 --> 00:18:25,280 Speaker 1: better without him trying to take Trump head on. He 361 00:18:25,400 --> 00:18:29,360 Speaker 1: will get scarred up by Trump, the person added. They 362 00:18:29,440 --> 00:18:34,000 Speaker 1: also mentioned this conservative billionaire shipping Goods Magnet Richard Julian 363 00:18:34,080 --> 00:18:36,840 Speaker 1: and his wife Elizabeth. Elizabeth who's five hundred thousand dollars 364 00:18:36,880 --> 00:18:39,879 Speaker 1: in combined contributions, ranked them among the most generous donors 365 00:18:39,920 --> 00:18:43,800 Speaker 1: to DeSantis' previous campaign, and they said a purpose person 366 00:18:43,840 --> 00:18:47,359 Speaker 1: with familiar with their strategy said on spending, they are 367 00:18:47,400 --> 00:18:51,479 Speaker 1: pumping the brakes. The polling really made different people pause. 368 00:18:51,680 --> 00:18:55,520 Speaker 1: And you know, this all comes after DeSantis has sounded 369 00:18:55,520 --> 00:19:00,119 Speaker 1: different notes on Ukraine, really in particular stumbling and delay, 370 00:19:00,280 --> 00:19:04,160 Speaker 1: how he reacted to Trump's indictment, and just I think 371 00:19:04,240 --> 00:19:10,560 Speaker 1: also the increasingly apparent landscape where because Trump is dominating 372 00:19:10,560 --> 00:19:13,880 Speaker 1: the news so much, and because these various indictments are 373 00:19:14,160 --> 00:19:17,159 Speaker 1: likely to come down and really make him the focal 374 00:19:17,200 --> 00:19:20,119 Speaker 1: point of the party once again, it just makes the 375 00:19:20,200 --> 00:19:24,920 Speaker 1: landscape damn near impossible for anyone to try to navigate 376 00:19:24,960 --> 00:19:28,720 Speaker 1: and get ahead of him in the polls. Yeah, it's 377 00:19:28,800 --> 00:19:31,480 Speaker 1: very difficult. I thought that the Ukraine thing that he 378 00:19:31,560 --> 00:19:34,399 Speaker 1: did was a massive mistake because he tried to have 379 00:19:34,440 --> 00:19:38,200 Speaker 1: it both ways, you know, to Tucker Carlston territorial dispute. 380 00:19:38,280 --> 00:19:40,600 Speaker 1: He takes the heat for it. The donors come out 381 00:19:40,640 --> 00:19:43,960 Speaker 1: and actually get upset with him. And then immediately does 382 00:19:44,080 --> 00:19:47,280 Speaker 1: an about face with Piers Morgan and now is like, oh, 383 00:19:47,320 --> 00:19:50,320 Speaker 1: Putin is a war criminal. He must be held to account. Now, 384 00:19:50,320 --> 00:19:53,840 Speaker 1: as you said, technically on paper, he didn't reverse anything 385 00:19:54,080 --> 00:19:57,840 Speaker 1: that he said. They're not intellectually inconsistent that said, this 386 00:19:57,880 --> 00:20:02,200 Speaker 1: is about tonal and rhetoric comparison. Rhetorically, Clearly it was 387 00:20:02,240 --> 00:20:05,320 Speaker 1: a backtrack, and he actually accused the mainstream media of 388 00:20:05,359 --> 00:20:08,359 Speaker 1: distorting some of his comments. So it's like, well, which 389 00:20:08,400 --> 00:20:10,439 Speaker 1: way is it, Governor. Did you say it was a 390 00:20:10,520 --> 00:20:13,000 Speaker 1: territory or dispute. Are you skeptical of a to Ukraine 391 00:20:13,359 --> 00:20:15,240 Speaker 1: or do you think that we should take a more 392 00:20:15,240 --> 00:20:20,520 Speaker 1: hawkish position towards Russia. Obviously this is a donor backed pressure, 393 00:20:20,600 --> 00:20:23,520 Speaker 1: and this ultimately shows you why Trump has always been 394 00:20:23,560 --> 00:20:25,440 Speaker 1: able to be successful in the first place. Like, yes, 395 00:20:25,480 --> 00:20:28,960 Speaker 1: he might be do the bidding of the donors inadvertently 396 00:20:29,080 --> 00:20:31,760 Speaker 1: whenever he allows the tax cuts and all of that 397 00:20:31,800 --> 00:20:34,880 Speaker 1: to go through, but on issues, whenever he diverts from them, 398 00:20:34,920 --> 00:20:37,760 Speaker 1: he's just going to say whatever he thinks. And you know, 399 00:20:37,800 --> 00:20:39,399 Speaker 1: I have no idea how much of that pressure or 400 00:20:39,440 --> 00:20:42,119 Speaker 1: whatever actually does come to Mayor, but this seemed quite 401 00:20:42,200 --> 00:20:45,520 Speaker 1: obvious of a pressure campaign, and it's also one where 402 00:20:45,680 --> 00:20:48,720 Speaker 1: if he can't stand his ground on Ukraine, then you know, 403 00:20:48,760 --> 00:20:51,000 Speaker 1: how are you going to stand your ground on many 404 00:20:51,080 --> 00:20:53,600 Speaker 1: of the other fights that you're going to have to 405 00:20:53,640 --> 00:20:57,600 Speaker 1: now navigate where the base feels very differently than mainstream 406 00:20:57,760 --> 00:21:01,520 Speaker 1: public opinion. Overall, I thought it was political disaster the 407 00:21:01,560 --> 00:21:04,280 Speaker 1: way that he handled himself there and actually gave a 408 00:21:04,320 --> 00:21:07,320 Speaker 1: great gift to the Trump campaign, who is smacking him 409 00:21:07,320 --> 00:21:10,720 Speaker 1: over the head with Ukraine, for sure, no doubt about it. 410 00:21:10,800 --> 00:21:14,720 Speaker 1: And do I think that Ukraine will be the number 411 00:21:14,760 --> 00:21:17,919 Speaker 1: one issue for Republican primary voters, No, I do not. 412 00:21:18,119 --> 00:21:22,479 Speaker 1: Most voters don't vote on foreign policy. But do I 413 00:21:22,520 --> 00:21:26,160 Speaker 1: think that this whole episode gives off an incredible stench 414 00:21:26,320 --> 00:21:28,640 Speaker 1: of like politician with his finger in the wind, trying 415 00:21:28,640 --> 00:21:30,680 Speaker 1: to figure out the right answer of where he should 416 00:21:30,720 --> 00:21:34,760 Speaker 1: be rather than what he actually thinks. Yes, absolutely, and 417 00:21:34,840 --> 00:21:37,280 Speaker 1: so in that way, I do think it is damaging 418 00:21:37,280 --> 00:21:39,200 Speaker 1: to him, even though you know, again, I don't think 419 00:21:39,200 --> 00:21:41,360 Speaker 1: that Republican primary voters, I don't want to pretend they're 420 00:21:41,359 --> 00:21:43,920 Speaker 1: following all the ins and outs of how Ron DeSantis 421 00:21:43,920 --> 00:21:48,320 Speaker 1: like navigated Ukraine. In a couple of different interviews, but again, 422 00:21:48,600 --> 00:21:51,439 Speaker 1: this is we're talking about an elite donor set that 423 00:21:51,480 --> 00:21:54,120 Speaker 1: he's going to be very dependent on if and when 424 00:21:54,119 --> 00:21:57,399 Speaker 1: he runs for president. They're certainly paying close attention to 425 00:21:57,440 --> 00:22:01,360 Speaker 1: this and clearly have a lot of nervousness around not 426 00:22:01,440 --> 00:22:04,199 Speaker 1: just the Ukraine answers, but also and you picked up 427 00:22:04,200 --> 00:22:06,280 Speaker 1: on this right away to Sager that there was such 428 00:22:06,280 --> 00:22:10,480 Speaker 1: a delay in how he responded to potential Trump indictment 429 00:22:10,760 --> 00:22:12,840 Speaker 1: that it took him days and days before even said 430 00:22:12,840 --> 00:22:14,680 Speaker 1: a word about it, and then when he did say 431 00:22:14,720 --> 00:22:17,320 Speaker 1: something about it, he once again tried to have it 432 00:22:17,400 --> 00:22:19,680 Speaker 1: both ways, tried to take a shot at Trump over 433 00:22:19,800 --> 00:22:21,920 Speaker 1: you know, hush money to porn stars, which the base 434 00:22:21,960 --> 00:22:24,000 Speaker 1: did not take kindly too, in which there's a big 435 00:22:24,040 --> 00:22:27,680 Speaker 1: backlash online over, but also then going after you know 436 00:22:27,720 --> 00:22:31,440 Speaker 1: the quote unquote George Soros back da. So so yeah, 437 00:22:31,480 --> 00:22:34,920 Speaker 1: I think there's just an increasing realization this landscape is 438 00:22:34,960 --> 00:22:37,359 Speaker 1: going to be very difficult, and like we've been saying 439 00:22:37,400 --> 00:22:41,000 Speaker 1: the whole time, the indictments again might be bad for 440 00:22:41,040 --> 00:22:43,119 Speaker 1: Trump in a general election, but in terms of the 441 00:22:43,160 --> 00:22:46,080 Speaker 1: Republican base, it's just like when mar A Lago was raided. 442 00:22:46,400 --> 00:22:48,960 Speaker 1: It forces people to come out and defend him. It 443 00:22:49,080 --> 00:22:53,160 Speaker 1: sort of strengthens his hand within the Republican Party. And 444 00:22:54,080 --> 00:22:56,720 Speaker 1: this potential indictment that we may or may not get 445 00:22:56,760 --> 00:23:00,320 Speaker 1: this week is likely to be just the first of 446 00:23:00,400 --> 00:23:04,560 Speaker 1: a number of potential indictments here. Let's go ahead and 447 00:23:04,640 --> 00:23:07,280 Speaker 1: talk a little bit about what might happen this week 448 00:23:07,359 --> 00:23:10,320 Speaker 1: now as a refresher. The indictment we're talking about right 449 00:23:10,359 --> 00:23:12,960 Speaker 1: now has to do with the hush money payments to 450 00:23:13,119 --> 00:23:17,040 Speaker 1: Stormy Daniels leading up to the twenty sixteen campaign. The 451 00:23:17,080 --> 00:23:20,800 Speaker 1: allegation here potentially is that there was both a business fraud, 452 00:23:20,800 --> 00:23:23,560 Speaker 1: which would be typically a misdemeanor where the payments were 453 00:23:23,600 --> 00:23:27,480 Speaker 1: misclassified in terms of his record keeping, but also the 454 00:23:27,520 --> 00:23:30,639 Speaker 1: way that they're potentially interpreting this as a felony is 455 00:23:30,680 --> 00:23:33,760 Speaker 1: that this was in service of campaign finance fraud, and 456 00:23:33,840 --> 00:23:37,159 Speaker 1: so that is the legal theory that they may be 457 00:23:37,240 --> 00:23:40,920 Speaker 1: pursuing with this grand jury in Manhattan. Trump, of course, 458 00:23:40,960 --> 00:23:45,679 Speaker 1: at his rally, reacted to these potential indictments. Let's take 459 00:23:45,680 --> 00:23:47,360 Speaker 1: a listen to what he had to say. The new 460 00:23:47,400 --> 00:23:51,240 Speaker 1: weapon being used by out of control, unhinged Democrats to 461 00:23:51,359 --> 00:23:57,880 Speaker 1: cheat on election is criminally investigating a candidate bad publicity 462 00:23:57,920 --> 00:24:00,920 Speaker 1: and all you get bad publicity. It's the craziest thing. 463 00:24:01,000 --> 00:24:03,240 Speaker 1: I got bad publicity, and my poll numbers have gone 464 00:24:03,240 --> 00:24:06,120 Speaker 1: through the roof. Would you explain this to me? Explain 465 00:24:06,200 --> 00:24:11,200 Speaker 1: that to me, Dan, mister congressman, you got to explain 466 00:24:11,240 --> 00:24:13,520 Speaker 1: it to me because nobody else has ever heard of it. 467 00:24:13,960 --> 00:24:16,320 Speaker 1: But you know what, it gets so much publicity that 468 00:24:16,359 --> 00:24:20,840 Speaker 1: the case actually gets adjudicated in the press and people 469 00:24:20,880 --> 00:24:25,880 Speaker 1: see it's bullshit, and they go and they say it's unfair. 470 00:24:26,280 --> 00:24:30,399 Speaker 1: Also worth noting he had preprinted signs that plaggards that 471 00:24:30,520 --> 00:24:33,000 Speaker 1: those fans were holding up that said winch hunt on it. 472 00:24:33,240 --> 00:24:36,359 Speaker 1: So he clearly is leaning into this fite zager. Yeah 473 00:24:36,400 --> 00:24:38,320 Speaker 1: he is. I mean, and again this is probably one 474 00:24:38,320 --> 00:24:40,480 Speaker 1: of the most potent things that he has in further 475 00:24:40,520 --> 00:24:43,800 Speaker 1: Republican base because they view him so tightly as a 476 00:24:43,840 --> 00:24:47,400 Speaker 1: representative of them, and any persecution of him is one 477 00:24:47,480 --> 00:24:50,840 Speaker 1: that is by definition and de facto persecution of them. 478 00:24:50,920 --> 00:24:54,359 Speaker 1: So that's actually why the snowball nature of many of 479 00:24:54,400 --> 00:24:58,280 Speaker 1: the law enforcement investigations and the fact that they appear 480 00:24:58,400 --> 00:25:02,760 Speaker 1: again appear to be starting with this hush money bookkeeping 481 00:25:02,920 --> 00:25:06,119 Speaker 1: scheme about to a porn star. It just seems like 482 00:25:06,160 --> 00:25:08,960 Speaker 1: a major mistake because narratively, what you would have wanted 483 00:25:09,000 --> 00:25:12,680 Speaker 1: to start with is the Fulton County case about stop 484 00:25:12,760 --> 00:25:15,600 Speaker 1: the steal, or a federal case about stop the steal, 485 00:25:16,040 --> 00:25:19,560 Speaker 1: or the secret document. Now, obviously with the classified documents, 486 00:25:19,560 --> 00:25:21,320 Speaker 1: that one went a little bit out the window after 487 00:25:21,400 --> 00:25:24,360 Speaker 1: Joe Biden himself had classified documents themselves. So the best 488 00:25:24,359 --> 00:25:27,200 Speaker 1: one they really had was Fulton County and January sixth. 489 00:25:27,280 --> 00:25:30,000 Speaker 1: Starting with the bookkeeping one, it's going to snowball now 490 00:25:30,080 --> 00:25:33,080 Speaker 1: all into one thing where people aren't necessarily going to 491 00:25:33,119 --> 00:25:37,920 Speaker 1: parse the details of every single prosecution investigation and all that. So, look, 492 00:25:38,040 --> 00:25:40,919 Speaker 1: we don't know. Again, it's Monday. We don't yet have 493 00:25:40,920 --> 00:25:42,720 Speaker 1: an indication whether the grand jury is going to meet 494 00:25:42,720 --> 00:25:45,440 Speaker 1: and Trump will be indicted tomorrow. As I said, I'm 495 00:25:45,440 --> 00:25:47,800 Speaker 1: here in Manhattan, and there is quite a bit of 496 00:25:47,800 --> 00:25:51,720 Speaker 1: security in Midtown, including Secret Service. Nobody actually quite knows 497 00:25:51,880 --> 00:25:54,840 Speaker 1: what's going on. Specifically it's around the Peninsula Hotel, but 498 00:25:54,840 --> 00:25:57,919 Speaker 1: the entire block is blocked off. Their garbage trucks everywhere, 499 00:25:57,920 --> 00:26:02,440 Speaker 1: their Secret Service detail, their dogs ypds out in full foursome. 500 00:26:02,520 --> 00:26:04,920 Speaker 1: You know, all things certainly smell of Trump. Why he 501 00:26:04,920 --> 00:26:06,359 Speaker 1: would though he would be staying at a hotel and 502 00:26:06,400 --> 00:26:08,800 Speaker 1: not at his own house. I don't certainly know, but 503 00:26:08,880 --> 00:26:10,840 Speaker 1: it's one of those where there's quite a bit of speculation. 504 00:26:10,960 --> 00:26:14,480 Speaker 1: Here in Manhattan. There is security, I know, down at 505 00:26:14,480 --> 00:26:18,800 Speaker 1: the courthouse and elsewhere in preparation for any type of indictment. 506 00:26:18,880 --> 00:26:21,560 Speaker 1: So at the very least people in the city appear 507 00:26:21,640 --> 00:26:24,640 Speaker 1: to be preparing or very authorities here in Manhattan are 508 00:26:24,640 --> 00:26:27,879 Speaker 1: preparing for something. And apparently I look this up, the 509 00:26:28,040 --> 00:26:32,040 Speaker 1: grand jury typically meets on Monday, so today would be 510 00:26:32,040 --> 00:26:35,480 Speaker 1: one of the typical meeting days Wednesday and Thursday. Last 511 00:26:35,480 --> 00:26:39,600 Speaker 1: week we're reported they canceled the Wednesday and Thursday meetings. 512 00:26:39,640 --> 00:26:42,920 Speaker 1: They didn't come in, and they didn't meet, So potentially 513 00:26:43,119 --> 00:26:46,040 Speaker 1: there could be something happening today, but no one knows. 514 00:26:46,240 --> 00:26:48,720 Speaker 1: And the other thing that I just think it's really 515 00:26:48,760 --> 00:26:50,760 Speaker 1: important to throw out there is we've been taking as 516 00:26:50,880 --> 00:26:53,480 Speaker 1: kind of like a you know, a done deal that 517 00:26:53,560 --> 00:26:56,320 Speaker 1: Trump is going to be indicted by this grand jury, 518 00:26:56,480 --> 00:26:58,960 Speaker 1: and it's likely that he is, but I just want 519 00:26:59,000 --> 00:27:01,520 Speaker 1: to say that there's no guarant You're still talking about 520 00:27:01,760 --> 00:27:04,879 Speaker 1: human beings who have been presented with certain evidence in 521 00:27:04,960 --> 00:27:07,879 Speaker 1: a case and will be making up their minds whether 522 00:27:08,000 --> 00:27:11,000 Speaker 1: or not to indict him. So it's not like this process. Yes, 523 00:27:11,000 --> 00:27:13,639 Speaker 1: it's controlled. The process is controlled by Alvin Bragg, but 524 00:27:13,720 --> 00:27:17,320 Speaker 1: it's still dependent on regular citizens of New York to 525 00:27:17,400 --> 00:27:20,280 Speaker 1: ultimately make the decision here. And I just want to 526 00:27:20,320 --> 00:27:23,359 Speaker 1: put out there that there are absolutely no guarantees that 527 00:27:23,440 --> 00:27:27,359 Speaker 1: they will decide that they should indict him. President former 528 00:27:27,400 --> 00:27:30,760 Speaker 1: President Trump, also reacting on true social as he does, 529 00:27:31,200 --> 00:27:33,399 Speaker 1: put this up on the screen. This was apparently a 530 00:27:33,520 --> 00:27:36,359 Speaker 1: late night post where he's warning of death and destruction 531 00:27:37,200 --> 00:27:39,120 Speaker 1: if he gets arrested. Let me read you the whole thing, 532 00:27:39,160 --> 00:27:41,639 Speaker 1: and says what kind of person can charge another person, 533 00:27:41,720 --> 00:27:43,560 Speaker 1: in this case, a former president in the US who 534 00:27:43,640 --> 00:27:46,399 Speaker 1: got more votes than any's sitting president in history and 535 00:27:46,520 --> 00:27:49,639 Speaker 1: leading candidate by far for the Republican Party nomination with 536 00:27:49,720 --> 00:27:52,199 Speaker 1: a crime when it is known by all that no 537 00:27:52,400 --> 00:27:55,359 Speaker 1: crime has been committed, and also known that potential death 538 00:27:55,440 --> 00:27:58,800 Speaker 1: and destruction in such a false charge could be catastrophic 539 00:27:58,840 --> 00:28:01,560 Speaker 1: for our country. And who would do such a thing? 540 00:28:02,000 --> 00:28:07,199 Speaker 1: Only a degenerate psychopath that truly hates the USA and saga. 541 00:28:07,240 --> 00:28:10,320 Speaker 1: This reminded me of after the mar A Lago raid, 542 00:28:11,320 --> 00:28:14,920 Speaker 1: Trump made some similar comments, basically threatening, you know, nice 543 00:28:14,960 --> 00:28:17,520 Speaker 1: country you got there. If I'm indicted, it's all going 544 00:28:17,600 --> 00:28:21,879 Speaker 1: to go to hell. Yeah, I mean this is vintage Trump. 545 00:28:21,920 --> 00:28:24,439 Speaker 1: He's never been above using it. He quite literally already 546 00:28:24,440 --> 00:28:27,320 Speaker 1: did it. So it's one of those people should probably 547 00:28:27,359 --> 00:28:30,640 Speaker 1: take it seriously. In terms of how people will react, though, 548 00:28:30,680 --> 00:28:33,240 Speaker 1: that's the real open question. I have no idea. As 549 00:28:33,280 --> 00:28:35,640 Speaker 1: we actually previously showed, not a lot of people showed 550 00:28:35,720 --> 00:28:39,400 Speaker 1: up to the planned protest outside of the Manhattan DA's office, 551 00:28:39,800 --> 00:28:42,120 Speaker 1: even though that was called or at least stoked a 552 00:28:42,120 --> 00:28:44,800 Speaker 1: bit by Trump and some of his allies. So whether 553 00:28:44,840 --> 00:28:47,040 Speaker 1: they will and will heed the call and whether they 554 00:28:47,240 --> 00:28:50,240 Speaker 1: view it even as a fruitful exercise for protest is 555 00:28:50,240 --> 00:28:52,440 Speaker 1: actually one where we really don't know the answer to 556 00:28:52,440 --> 00:28:55,480 Speaker 1: that question yet. Yes, so will there actually be death 557 00:28:55,520 --> 00:28:57,320 Speaker 1: and destruction? I guess We're just going to have to 558 00:28:57,360 --> 00:28:59,920 Speaker 1: wait and find out another great day. I'll see what happens. 559 00:29:00,320 --> 00:29:03,160 Speaker 1: We'll see what happens as they as the Trump always said, 560 00:29:03,600 --> 00:29:06,640 Speaker 1: all right, let's talk a little bit about TikTok. I 561 00:29:06,720 --> 00:29:09,640 Speaker 1: know that there was a lot going on over the weekend. 562 00:29:10,120 --> 00:29:14,000 Speaker 1: We covered previously how the TikTok CEO appeared before Congress. 563 00:29:14,040 --> 00:29:16,520 Speaker 1: At this point, we will show you some of his comments, 564 00:29:16,520 --> 00:29:20,280 Speaker 1: but more interestingly what happened is that there was effectively 565 00:29:20,440 --> 00:29:24,800 Speaker 1: unanimous a position on the committee itself around national security 566 00:29:24,840 --> 00:29:28,520 Speaker 1: issues surrounding TikTok. Overall, the hearing is regarded as a 567 00:29:28,560 --> 00:29:31,600 Speaker 1: massive disgrace for the TikTok CEO. It didn't handle himself 568 00:29:31,600 --> 00:29:34,280 Speaker 1: particularly well. Also as a disgrace tough many members of Congress, 569 00:29:34,320 --> 00:29:37,720 Speaker 1: which we will absolutely get to. The major debate though, 570 00:29:37,800 --> 00:29:41,080 Speaker 1: happening right now, has been sparked by Representative AOC who 571 00:29:41,200 --> 00:29:44,720 Speaker 1: posted her first TikTok ever over the weekend in when 572 00:29:44,760 --> 00:29:47,400 Speaker 1: she came out against banning TikTok. Wants to make sure 573 00:29:47,400 --> 00:29:48,880 Speaker 1: that we showed all of you and broke down some 574 00:29:48,920 --> 00:29:50,960 Speaker 1: of what she said. Let's take a listen. The United 575 00:29:50,960 --> 00:29:54,520 Speaker 1: States has never before banned a social media company from existence, 576 00:29:54,560 --> 00:29:56,920 Speaker 1: from operating in our borders, and this is an app 577 00:29:56,960 --> 00:29:59,280 Speaker 1: that has over one hundred and fifty million Americans on it. 578 00:30:00,000 --> 00:30:03,080 Speaker 1: Some of the arguments about banning TikTok have come with 579 00:30:03,120 --> 00:30:08,280 Speaker 1: respect to discussions around Chinese surveillance and utilization of data 580 00:30:08,280 --> 00:30:10,960 Speaker 1: that is tracked and the enormous amount of tracking on 581 00:30:11,440 --> 00:30:14,360 Speaker 1: US citizens and data that is harvested by TikTok, and 582 00:30:14,400 --> 00:30:16,840 Speaker 1: they say, because of this egregious amount of data harvesting, 583 00:30:16,920 --> 00:30:20,160 Speaker 1: we should ban this app. However, that doesn't really address 584 00:30:20,160 --> 00:30:22,840 Speaker 1: the core of the issue, which is the fact that 585 00:30:23,400 --> 00:30:26,760 Speaker 1: major social media companies are allowed to collect troves of 586 00:30:26,800 --> 00:30:29,840 Speaker 1: deeply personal data about you that you don't know about 587 00:30:30,280 --> 00:30:34,760 Speaker 1: without really any significant regulation whatsoever. So I think this 588 00:30:34,840 --> 00:30:36,680 Speaker 1: is important. I want to spend some time on this. Christal. 589 00:30:36,840 --> 00:30:38,360 Speaker 1: I know you and I have talked about this a lot, 590 00:30:38,400 --> 00:30:40,840 Speaker 1: but people, obviously there's a lot of renewed interests in this. 591 00:30:40,920 --> 00:30:42,479 Speaker 1: So part of the reason why I want to take 592 00:30:42,520 --> 00:30:44,840 Speaker 1: this seriously our own James Lee actually did a fantastic 593 00:30:44,880 --> 00:30:47,800 Speaker 1: segment over the weekend about this as well. The reason 594 00:30:47,840 --> 00:30:51,920 Speaker 1: why I think conflating data privacy with this issue is that, yes, 595 00:30:52,160 --> 00:30:55,640 Speaker 1: it is certainly true that Facebook, Google, Microsoft, and Apple 596 00:30:55,720 --> 00:30:59,040 Speaker 1: are cynically using the TikTok national security issue to push 597 00:30:59,080 --> 00:31:01,720 Speaker 1: their own business. That said, that does not mean that 598 00:31:01,760 --> 00:31:04,520 Speaker 1: we should disregard the core issue at hand. At the 599 00:31:04,640 --> 00:31:08,400 Speaker 1: end of the day, Facebook, Google, Apple, all of these 600 00:31:08,440 --> 00:31:12,440 Speaker 1: companies are subject to US law, to the US judicial system. 601 00:31:12,640 --> 00:31:14,840 Speaker 1: If we have a problem with that, we can change it. 602 00:31:14,920 --> 00:31:17,400 Speaker 1: We can actually change the way that they conduct business. 603 00:31:17,560 --> 00:31:20,720 Speaker 1: I and you have both advocated for changing those laws. 604 00:31:21,040 --> 00:31:24,280 Speaker 1: One of the reasons actually why TikTok is so exceptional 605 00:31:24,600 --> 00:31:27,960 Speaker 1: is that they are not subject to US control and 606 00:31:28,040 --> 00:31:32,640 Speaker 1: are stead directly subject to the Chinese authoritarian system in 607 00:31:32,680 --> 00:31:36,120 Speaker 1: which they directly have to do whatever the Chinese government 608 00:31:36,160 --> 00:31:38,920 Speaker 1: tells them to do. We also know at this point 609 00:31:39,040 --> 00:31:42,880 Speaker 1: that TikTok, owned by Bike Dance CEO Xiang Ziming, has 610 00:31:43,000 --> 00:31:46,840 Speaker 1: directly made company decisions at the behest of the CCP 611 00:31:47,320 --> 00:31:52,360 Speaker 1: and so called government controlled actions. Now, the national security 612 00:31:52,360 --> 00:31:54,280 Speaker 1: case on this is that you're going to have an 613 00:31:54,280 --> 00:31:57,360 Speaker 1: app with one hundred and fifty million Americans being used 614 00:31:57,480 --> 00:32:02,080 Speaker 1: that is not subject to any democratic, small d democratic control. 615 00:32:02,600 --> 00:32:05,080 Speaker 1: And yes, let me just stop there and let me 616 00:32:05,520 --> 00:32:07,280 Speaker 1: I want to hear what you have to say. Yeah, 617 00:32:07,320 --> 00:32:09,720 Speaker 1: I mean to be honest with you. I actually found 618 00:32:09,920 --> 00:32:13,280 Speaker 1: some of the questions that James Lee raise, which I 619 00:32:13,280 --> 00:32:15,040 Speaker 1: do want everybody to go and watch because he did 620 00:32:15,040 --> 00:32:18,680 Speaker 1: a fantastic job on that video, I found them persuasive. 621 00:32:18,720 --> 00:32:21,560 Speaker 1: And I also found Glenn Greenwall did a show on 622 00:32:21,600 --> 00:32:25,240 Speaker 1: this last week that I thought also raised some really 623 00:32:25,280 --> 00:32:29,320 Speaker 1: important questions. A couple of things that they brought up is, 624 00:32:29,520 --> 00:32:33,560 Speaker 1: as you were indicating Sager and as AOC also mentioned, Okay, 625 00:32:33,560 --> 00:32:36,640 Speaker 1: if your concern is data privacy, then why are you 626 00:32:36,640 --> 00:32:40,520 Speaker 1: focused on justice one app when Meta in particular collects 627 00:32:40,640 --> 00:32:44,880 Speaker 1: way more data than TikTok does. So the data privacy 628 00:32:44,920 --> 00:32:47,760 Speaker 1: concerns are hard to take seriously when you haven't seen 629 00:32:47,760 --> 00:32:50,040 Speaker 1: a serious effort by Congress to deal with this in 630 00:32:50,080 --> 00:32:53,080 Speaker 1: any real way in terms of, you know, all of 631 00:32:53,120 --> 00:32:56,959 Speaker 1: social media. So that's number one. One of the points 632 00:32:56,960 --> 00:33:00,320 Speaker 1: that Glenn raised that I thought was also worth considering 633 00:33:00,520 --> 00:33:02,640 Speaker 1: is the fact that you know, we know from the 634 00:33:02,680 --> 00:33:08,120 Speaker 1: Twitter files the way that government control and government interface 635 00:33:08,200 --> 00:33:11,600 Speaker 1: with Twitter in particular, but all American social media companies 636 00:33:11,960 --> 00:33:14,600 Speaker 1: has not been a good thing. So it's not an 637 00:33:14,600 --> 00:33:17,360 Speaker 1: accident that the one app that they don't actually have 638 00:33:17,880 --> 00:33:21,800 Speaker 1: sort of direct control over and hold onto is the 639 00:33:21,800 --> 00:33:25,960 Speaker 1: one that they are going after to ban. So I 640 00:33:25,960 --> 00:33:29,200 Speaker 1: think that's noteworthy, and I also think that, you know, 641 00:33:29,520 --> 00:33:32,800 Speaker 1: it's also worth considering that this is just a truly 642 00:33:32,840 --> 00:33:35,719 Speaker 1: extraordinary act. You are talking about one hundred and fifty 643 00:33:35,800 --> 00:33:40,080 Speaker 1: million users on this platform, is the most popular platform 644 00:33:40,480 --> 00:33:46,000 Speaker 1: among teenagers in the country. So the extraordinary nature of 645 00:33:46,040 --> 00:33:49,880 Speaker 1: this act, I think should also not be understated. And 646 00:33:50,640 --> 00:33:52,320 Speaker 1: you also have a lot of people who are very 647 00:33:52,320 --> 00:33:55,840 Speaker 1: self interested, not just the executives at Google and Facebook 648 00:33:55,840 --> 00:33:58,440 Speaker 1: and other places, but also many of these members of 649 00:33:58,480 --> 00:34:01,480 Speaker 1: Congress have stuck in these companies that they stand to 650 00:34:01,600 --> 00:34:05,960 Speaker 1: personally benefit from banning TikTok. So I did actually think 651 00:34:05,960 --> 00:34:09,080 Speaker 1: that a number of those concerns were, you know, significant 652 00:34:09,080 --> 00:34:13,040 Speaker 1: and worth consideration. I think that those are all incredibly 653 00:34:13,120 --> 00:34:17,080 Speaker 1: valid points, And unlike a Facebook CEO Mark Zuckerberg, I 654 00:34:17,080 --> 00:34:19,080 Speaker 1: would not say that that's not true. I think they're 655 00:34:19,080 --> 00:34:22,520 Speaker 1: all actually completely true. That doesn't yet absolve and part 656 00:34:22,520 --> 00:34:26,080 Speaker 1: of what I would say is, Okay, we run our country. 657 00:34:26,160 --> 00:34:28,920 Speaker 1: We have small d democratic input. We can vote for candidates, 658 00:34:28,920 --> 00:34:30,960 Speaker 1: and yes, this is incredibly hard. I'm not saying that 659 00:34:31,000 --> 00:34:34,040 Speaker 1: government is incorrupt in our political system, isn't there That said, 660 00:34:34,120 --> 00:34:37,160 Speaker 1: we can have some small de democratic control over the FBI. 661 00:34:37,520 --> 00:34:40,800 Speaker 1: We quite literally have a Congress which is holding hearings 662 00:34:40,840 --> 00:34:44,800 Speaker 1: about this. There are no such hearings in China. Secondly, 663 00:34:44,960 --> 00:34:48,840 Speaker 1: and whenever it comes to this issue around data privacy 664 00:34:49,280 --> 00:34:51,799 Speaker 1: and the self interested in nature, again, I want to 665 00:34:51,880 --> 00:34:54,040 Speaker 1: say that that is one hundred percent true. But I 666 00:34:54,040 --> 00:34:56,640 Speaker 1: also want to inject a secondary issue to this, which 667 00:34:56,880 --> 00:35:00,400 Speaker 1: I don't think that AOC James or Glenn has address, 668 00:35:00,400 --> 00:35:06,320 Speaker 1: which is about reciprocity. Look, at the end of the day, Facebook, Google, Apple, well, okay, 669 00:35:06,360 --> 00:35:09,360 Speaker 1: not Apple, but Facebook, Google, and US social media companies 670 00:35:09,560 --> 00:35:14,000 Speaker 1: are banned in China specifically because China does not want 671 00:35:14,239 --> 00:35:18,080 Speaker 1: any US backed company to have any market share in 672 00:35:18,120 --> 00:35:23,200 Speaker 1: their country whatsoever without total authoritarian control, because they believe 673 00:35:23,520 --> 00:35:26,720 Speaker 1: that it would be used as a US cultural psyop 674 00:35:27,000 --> 00:35:29,840 Speaker 1: to turn their population right. So in that can we 675 00:35:29,920 --> 00:35:34,480 Speaker 1: then allow their major platform in our This is a 676 00:35:34,560 --> 00:35:38,120 Speaker 1: basic this is fairness, But I think cannot allow this 677 00:35:38,239 --> 00:35:40,719 Speaker 1: company to operate in the United States when they ban 678 00:35:40,920 --> 00:35:44,040 Speaker 1: OUR companies from operation. So I think that argument cuts 679 00:35:44,080 --> 00:35:49,120 Speaker 1: both ways. Because when China or Iran or other authoritarian 680 00:35:49,400 --> 00:35:54,640 Speaker 1: regimes block American social media companies, we interpret that as 681 00:35:54,880 --> 00:35:59,360 Speaker 1: their authoritarian despots. So when we do the same with 682 00:35:59,440 --> 00:36:04,400 Speaker 1: their social media platforms, shouldn't we examine whether our behavior 683 00:36:04,480 --> 00:36:08,480 Speaker 1: is similarly authoritarian and despotic. So I don't think that 684 00:36:08,480 --> 00:36:12,040 Speaker 1: that argument. I don't buy that argument because I'm not 685 00:36:12,080 --> 00:36:15,840 Speaker 1: looking to replicate the authoritarian tendencies of you know, a 686 00:36:15,880 --> 00:36:18,279 Speaker 1: country like China. The other thing, in terms of the 687 00:36:18,360 --> 00:36:21,160 Speaker 1: data privacy issues that I think is worth raising as 688 00:36:21,280 --> 00:36:24,239 Speaker 1: well is if we're concerned, and I think we rightly should. 689 00:36:24,239 --> 00:36:26,000 Speaker 1: I don't think anyone should take the CEO as a 690 00:36:26,080 --> 00:36:27,840 Speaker 1: word that like, oh, it's all stored in Houston and 691 00:36:27,880 --> 00:36:29,759 Speaker 1: don't worry about it, like they don't have any acts. 692 00:36:29,840 --> 00:36:32,520 Speaker 1: I don't think anyone should really buy into that. Okay, 693 00:36:32,560 --> 00:36:35,080 Speaker 1: So I want to be clear about that. But the 694 00:36:35,200 --> 00:36:38,239 Speaker 1: data that we're talking about that's being collected, A lot 695 00:36:38,280 --> 00:36:40,759 Speaker 1: of this data, if not all of this data, is 696 00:36:40,880 --> 00:36:45,120 Speaker 1: widely available for sale. So if China wants that data, 697 00:36:45,200 --> 00:36:48,200 Speaker 1: like they've already got access to it in a lot 698 00:36:48,239 --> 00:36:50,839 Speaker 1: of ways, that ship has already sort of sailed. So 699 00:36:51,239 --> 00:36:53,959 Speaker 1: I don't want to get caught up in a sort 700 00:36:54,000 --> 00:36:58,399 Speaker 1: of anti China hysteria. I think it is worth you know, 701 00:36:58,960 --> 00:37:01,680 Speaker 1: I have been in support of some of the efforts 702 00:37:01,680 --> 00:37:04,120 Speaker 1: that we have taken in order to make ourselves more 703 00:37:04,160 --> 00:37:08,080 Speaker 1: economically independent and less dependent on China. I think some 704 00:37:08,120 --> 00:37:10,919 Speaker 1: of the things we've done, especially with chips manufacturing, makes 705 00:37:10,960 --> 00:37:13,840 Speaker 1: a lot of sense. This one just to be Frank, 706 00:37:13,920 --> 00:37:17,440 Speaker 1: I still have some major, major question marks about whether 707 00:37:17,560 --> 00:37:21,920 Speaker 1: or not this represents a dramatic overreach. And you know, 708 00:37:22,640 --> 00:37:24,960 Speaker 1: maybe it's because my spider senses go up. When you 709 00:37:25,000 --> 00:37:28,000 Speaker 1: have such overwhelming sentiment from both parties and so very 710 00:37:28,040 --> 00:37:31,000 Speaker 1: few voices of dissent, and you got the Biden administration, 711 00:37:31,120 --> 00:37:34,440 Speaker 1: you know, aligning with you know, almost every Republican in 712 00:37:34,560 --> 00:37:37,200 Speaker 1: support of banning this thing. I start to I start 713 00:37:37,200 --> 00:37:39,920 Speaker 1: to wonder what the underlying agenda is, and I do 714 00:37:39,960 --> 00:37:42,840 Speaker 1: think part of it has to do with national security, 715 00:37:42,840 --> 00:37:47,000 Speaker 1: state wanting control over social media platforms, and also personal 716 00:37:47,040 --> 00:37:50,040 Speaker 1: sort of financial investment in some of the companies that 717 00:37:50,120 --> 00:37:53,880 Speaker 1: really stand to benefit from banning TikTok. As we've discussed before, 718 00:37:54,719 --> 00:37:57,799 Speaker 1: all of these social media companies are basically desperate to 719 00:37:57,880 --> 00:38:01,640 Speaker 1: replicate TikTok success. We see very clearly with YouTube, which 720 00:38:01,680 --> 00:38:04,480 Speaker 1: of course is owned by Google, where they're trying to 721 00:38:04,480 --> 00:38:06,480 Speaker 1: do YouTube shorts and they're trying to compete, and they're 722 00:38:06,560 --> 00:38:10,040 Speaker 1: leaning ward to their algorithm versus what people choose to 723 00:38:10,680 --> 00:38:14,080 Speaker 1: select as their preferences on YouTube. This is all complete 724 00:38:14,160 --> 00:38:17,200 Speaker 1: replication of what TikTok has done and the kind of 725 00:38:17,239 --> 00:38:19,680 Speaker 1: magic that has made TikTok so appealing to teenagers. So 726 00:38:20,200 --> 00:38:23,480 Speaker 1: I guess that's what I'll say is I have the 727 00:38:23,840 --> 00:38:27,280 Speaker 1: amount of questions I have about this direction have dramatically increased. 728 00:38:29,200 --> 00:38:31,799 Speaker 1: I think those are all fair, and I actually I 729 00:38:31,880 --> 00:38:34,520 Speaker 1: find myself uncomfortable being on the side of the establishment, 730 00:38:34,560 --> 00:38:36,799 Speaker 1: I guess for once. And but here's the thing I 731 00:38:36,800 --> 00:38:39,440 Speaker 1: will remind people, this was not a popular position three 732 00:38:39,520 --> 00:38:41,400 Speaker 1: and a half years ago. It might have been one 733 00:38:41,440 --> 00:38:43,880 Speaker 1: of the maybe like me and like three Matt Stoller 734 00:38:43,920 --> 00:38:46,960 Speaker 1: and like two others once we were talking about it. Actually, 735 00:38:46,960 --> 00:38:50,640 Speaker 1: the entire Republican establishment was against banning TikTok for this 736 00:38:50,760 --> 00:38:54,719 Speaker 1: reason because Wall Street had significant had a significant investors 737 00:38:54,840 --> 00:38:57,960 Speaker 1: inside of the Bike Dance Corporation. The Biden administration also 738 00:38:58,200 --> 00:39:00,560 Speaker 1: dragged its feet. If you can go back, you can 739 00:39:00,600 --> 00:39:02,480 Speaker 1: actually go pull the receipts if people want. I've been 740 00:39:02,480 --> 00:39:05,400 Speaker 1: doing monologues about this for over three years. I remember 741 00:39:05,440 --> 00:39:07,480 Speaker 1: doing monologues when they had like thirty million users, and 742 00:39:07,520 --> 00:39:10,520 Speaker 1: I was like, guys, this is reaching escape velocity. You've 743 00:39:10,520 --> 00:39:12,680 Speaker 1: got to nip this problem in the bud before it 744 00:39:12,719 --> 00:39:16,480 Speaker 1: becomes a problem. And I also want to say this too, 745 00:39:16,520 --> 00:39:18,399 Speaker 1: about what you were saying at the end of the day, 746 00:39:18,560 --> 00:39:21,680 Speaker 1: I respect national sovereignty. If Iran and China want to 747 00:39:21,680 --> 00:39:24,359 Speaker 1: ban Facebook and Google, I don't actually think that's authoritarian, 748 00:39:24,560 --> 00:39:27,000 Speaker 1: even though they are doing it for authoritarian purposes. As 749 00:39:27,040 --> 00:39:30,360 Speaker 1: we also noticed whenever Twitter, for example, removed Donald Trump, 750 00:39:30,560 --> 00:39:34,479 Speaker 1: many other democratic countries like Germany and France were like, hey, 751 00:39:34,680 --> 00:39:37,160 Speaker 1: you can't be taken heads of state off platforms, and 752 00:39:37,200 --> 00:39:39,560 Speaker 1: if you do, you're going to be subject to our regulation. 753 00:39:39,880 --> 00:39:43,000 Speaker 1: All countries have the ability to conduct national sovereignty, which 754 00:39:43,040 --> 00:39:45,800 Speaker 1: is why I think that our national sovereignty should be respected. 755 00:39:46,160 --> 00:39:48,239 Speaker 1: The talking point around why should we act like China 756 00:39:48,280 --> 00:39:51,680 Speaker 1: has actually one that a lot of libertarian at libertarian 757 00:39:51,719 --> 00:39:54,799 Speaker 1: activists and lobbyists for TikTok have been using here for 758 00:39:54,880 --> 00:39:57,400 Speaker 1: quite some time. So look, yes, it is true that 759 00:39:57,480 --> 00:40:00,160 Speaker 1: data privacy in the United States is a disaster. It 760 00:40:00,200 --> 00:40:03,160 Speaker 1: is certainly true also that these companies are not acting 761 00:40:03,160 --> 00:40:05,040 Speaker 1: in good faith in that there's a lot of shenanigans 762 00:40:05,040 --> 00:40:07,719 Speaker 1: in corruption and all that going on. It is also true, 763 00:40:07,760 --> 00:40:10,640 Speaker 1: certainly that the FBI and all of those want something 764 00:40:10,680 --> 00:40:13,040 Speaker 1: under their control. But at the same time, we don't 765 00:40:13,080 --> 00:40:16,000 Speaker 1: have no we don't have no role to play here. 766 00:40:16,040 --> 00:40:19,000 Speaker 1: We live in a democratic country, we actually can have 767 00:40:19,360 --> 00:40:21,120 Speaker 1: input on this. I would view this actually as a 768 00:40:21,200 --> 00:40:26,760 Speaker 1: victory for information and for democracy because the press, the press, 769 00:40:26,960 --> 00:40:29,319 Speaker 1: the people, and many of the politicians actually the ones 770 00:40:29,360 --> 00:40:32,720 Speaker 1: who caught up the least. It's really open source press 771 00:40:32,760 --> 00:40:36,560 Speaker 1: reporting and pressure from the outside which brought this issue 772 00:40:36,800 --> 00:40:40,000 Speaker 1: really to bear. And look, let's also take a step 773 00:40:40,160 --> 00:40:42,640 Speaker 1: and look as you alluded to to the actual TikTok 774 00:40:42,800 --> 00:40:47,400 Speaker 1: CEO's testimony here where he did himself no favors with 775 00:40:47,480 --> 00:40:50,200 Speaker 1: some of his disastrous answers. Let's take a listen to one. 776 00:40:50,400 --> 00:40:54,280 Speaker 1: Bite Dens is not owned or controlled by the Chinese government, 777 00:40:54,920 --> 00:40:58,720 Speaker 1: is a private company. Mister Chu, has Bite Dance spied 778 00:40:58,800 --> 00:41:03,640 Speaker 1: on Americans at the direction of the Chinese Communist Party. No, 779 00:41:04,280 --> 00:41:08,560 Speaker 1: has Fit Dance spied on American citizens. I don't think 780 00:41:08,640 --> 00:41:11,040 Speaker 1: they're spying, is the right way to describe it. This 781 00:41:11,160 --> 00:41:14,080 Speaker 1: is committed to be very transparent without users about what 782 00:41:14,120 --> 00:41:16,440 Speaker 1: we collect. I don't think what we collect. I don't 783 00:41:16,480 --> 00:41:19,280 Speaker 1: believe what we collect is more than most. The problem 784 00:41:19,400 --> 00:41:21,640 Speaker 1: here is you're trying to give the impression that you're 785 00:41:21,680 --> 00:41:25,080 Speaker 1: going to move away from Beijing and the Communist Party 786 00:41:25,320 --> 00:41:27,800 Speaker 1: you're trying to give the impression that you're a good actor, 787 00:41:28,200 --> 00:41:32,520 Speaker 1: but the commitments that we would seek to achieve those 788 00:41:32,560 --> 00:41:34,880 Speaker 1: goals are not being made today. I have seen no 789 00:41:35,000 --> 00:41:38,040 Speaker 1: evidence that the Chinese government has access to that data. 790 00:41:38,280 --> 00:41:40,359 Speaker 1: They have never asked us. We have not provided well 791 00:41:40,360 --> 00:41:43,560 Speaker 1: in a way I've asked that. I find that actually preposterous. 792 00:41:43,760 --> 00:41:47,319 Speaker 1: TikTok access to the home Wi Fi network has Fit 793 00:41:47,440 --> 00:41:51,240 Speaker 1: Dance spied on American citizens. I don't think they're spying, 794 00:41:51,360 --> 00:41:53,399 Speaker 1: is the right way to describe it. The only phase 795 00:41:53,480 --> 00:41:55,640 Speaker 1: data that you get that we collect is when you 796 00:41:55,800 --> 00:41:58,360 Speaker 1: use the filters. You have sunglasses on your face. We 797 00:41:58,400 --> 00:42:00,279 Speaker 1: need to know where your eyes are. How do you 798 00:42:00,320 --> 00:42:01,680 Speaker 1: need to know what the ads are if you're not 799 00:42:01,719 --> 00:42:05,960 Speaker 1: seeing if they're dilated American data stort on American soil 800 00:42:06,400 --> 00:42:11,600 Speaker 1: by an American company, overseen by American personnel. We call 801 00:42:11,719 --> 00:42:16,480 Speaker 1: this initiative Project Texas. Please rename your project. Texas is 802 00:42:16,520 --> 00:42:19,279 Speaker 1: not the appropriate name. We stand for freedom and transparency 803 00:42:19,320 --> 00:42:22,120 Speaker 1: and we don't want your project. You damn well know 804 00:42:22,280 --> 00:42:25,640 Speaker 1: that you cannot protect the data and security of this 805 00:42:25,719 --> 00:42:28,680 Speaker 1: committee or the one hundred and fifty million users of 806 00:42:28,800 --> 00:42:32,000 Speaker 1: your app because it is an extension of the CCP 807 00:42:32,440 --> 00:42:36,400 Speaker 1: from the data it collects to the contented controls. TikTok 808 00:42:36,800 --> 00:42:41,040 Speaker 1: is a grave threat of foreign influence in American life. 809 00:42:41,160 --> 00:42:43,239 Speaker 1: So what I like about that mashup is, first of all, 810 00:42:43,360 --> 00:42:45,960 Speaker 1: does TikTok connect to the home Wi Fi? These people, 811 00:42:46,560 --> 00:42:48,560 Speaker 1: I don't even know what to say about this, some 812 00:42:48,600 --> 00:42:50,440 Speaker 1: of these boomers in Congress. I know many of our 813 00:42:50,440 --> 00:42:53,640 Speaker 1: boomera audis will get mad. I'm sorry, people, a lot 814 00:42:53,640 --> 00:42:56,120 Speaker 1: of you gotta go. We can't be having this in 815 00:42:56,160 --> 00:42:58,640 Speaker 1: some of the top representatives of Congress where you have 816 00:42:58,640 --> 00:43:01,600 Speaker 1: an immense about responsibility. It's just like the Facebook hearing 817 00:43:01,640 --> 00:43:04,200 Speaker 1: where they're like, mister Zuckerberg, how do you make money? 818 00:43:04,480 --> 00:43:07,279 Speaker 1: I will never get over that one that said I 819 00:43:07,320 --> 00:43:10,440 Speaker 1: don't think spying is the right word. Obviously ridiculous. I 820 00:43:10,480 --> 00:43:12,480 Speaker 1: also think I should explain to people because it's not 821 00:43:12,600 --> 00:43:16,040 Speaker 1: ultimately clear. TikTok is a subsidiary company of Byte Dance, 822 00:43:16,080 --> 00:43:19,760 Speaker 1: the Chinese holding company. Mister Chu is a Singaporean citizen 823 00:43:19,960 --> 00:43:23,759 Speaker 1: who was hired specifically because he's not Chinese. Before that, 824 00:43:23,800 --> 00:43:26,840 Speaker 1: they add an American who actually quit his job because 825 00:43:26,840 --> 00:43:29,759 Speaker 1: of the national security concerns. He used to work over 826 00:43:29,800 --> 00:43:33,160 Speaker 1: at Disney. Mister Chu was used and is a puppet of, 827 00:43:33,239 --> 00:43:36,400 Speaker 1: basically of Xiang Xiuming, the CEO and the major success 828 00:43:36,719 --> 00:43:40,560 Speaker 1: holder of Byte Dance. By Dance itself is subject once 829 00:43:40,600 --> 00:43:45,359 Speaker 1: again completely and totally to CCP authoritarian control. Xiang has 830 00:43:45,400 --> 00:43:48,640 Speaker 1: already had to take many apps off of the Chinese 831 00:43:48,680 --> 00:43:51,680 Speaker 1: App Store and apologize to the CCP for quote not 832 00:43:51,840 --> 00:43:54,640 Speaker 1: upholding socialist core values, and of course those aren't actual 833 00:43:54,640 --> 00:43:57,719 Speaker 1: socialist values, those are the CCP values. He also has 834 00:43:58,080 --> 00:44:03,200 Speaker 1: held actual CCP ping thought trainings inside of bytenance. All 835 00:44:03,239 --> 00:44:05,640 Speaker 1: I'm trying to say is that clearly it is directly 836 00:44:05,640 --> 00:44:08,520 Speaker 1: controlled by the Chinese government. Ask Jack Ma how it 837 00:44:08,560 --> 00:44:10,400 Speaker 1: worked out for him when he got a little bit 838 00:44:10,440 --> 00:44:13,120 Speaker 1: too big for his breches and he's basically thrown into prison. 839 00:44:13,200 --> 00:44:16,000 Speaker 1: So I think it's important for people to look at 840 00:44:16,000 --> 00:44:18,600 Speaker 1: this hearing as much of his disaster as it was 841 00:44:18,640 --> 00:44:21,000 Speaker 1: really on all sides, especially with some of these some 842 00:44:21,040 --> 00:44:23,840 Speaker 1: of these representatives not literally knowing how the Wi fi works. 843 00:44:24,440 --> 00:44:26,600 Speaker 1: And that is where I do want to validate something 844 00:44:26,800 --> 00:44:29,600 Speaker 1: that AOC did say. You do have to make the 845 00:44:29,600 --> 00:44:32,200 Speaker 1: case for people. It has to be cogent, and you 846 00:44:32,280 --> 00:44:35,880 Speaker 1: can't be having clips of Congressman saying, does TikTok connect 847 00:44:35,880 --> 00:44:38,799 Speaker 1: to the home Wi Fi and steal your data? I 848 00:44:38,840 --> 00:44:41,640 Speaker 1: think a genuine case. I've tried to make it here 849 00:44:41,760 --> 00:44:44,520 Speaker 1: many times, you know, laying out all the case here. 850 00:44:44,680 --> 00:44:47,000 Speaker 1: I think Biden does owe that. Ultimately, I think he 851 00:44:47,040 --> 00:44:49,239 Speaker 1: failed by allowing this amount of market penetration in the 852 00:44:49,239 --> 00:44:51,600 Speaker 1: first place. But if you're going to allow that, a 853 00:44:51,760 --> 00:44:54,759 Speaker 1: very cogent important case needs to be made, because the 854 00:44:54,800 --> 00:44:56,759 Speaker 1: one thing she is correct about is that a lot 855 00:44:56,800 --> 00:44:59,120 Speaker 1: of people use the app. Half the country literally is 856 00:44:59,200 --> 00:45:01,719 Speaker 1: using this app. So at that point, now you do 857 00:45:01,800 --> 00:45:03,279 Speaker 1: owe it because there is an act. I mean, that's 858 00:45:03,280 --> 00:45:07,160 Speaker 1: almost many people who voted, just so we are aware. Well, yeah, 859 00:45:07,200 --> 00:45:09,479 Speaker 1: I think those are great points. I mean I would 860 00:45:09,520 --> 00:45:13,279 Speaker 1: say that really this app reached escape velocity during the 861 00:45:13,280 --> 00:45:17,560 Speaker 1: Trump administration when these discussions first started and Trump started 862 00:45:17,560 --> 00:45:19,160 Speaker 1: trying to you know, force a sale or whatever, and 863 00:45:19,200 --> 00:45:22,600 Speaker 1: it ended up coming to nothing. But there's a reason 864 00:45:22,719 --> 00:45:26,959 Speaker 1: why Biden has pushed this, kicked this to Congress rather 865 00:45:27,040 --> 00:45:31,000 Speaker 1: than claiming the authority to take action himself, and it's 866 00:45:31,040 --> 00:45:34,560 Speaker 1: because he knows that this is likely to be devastatingly 867 00:45:34,640 --> 00:45:38,480 Speaker 1: unpopular with young voters, and look, a lot of young 868 00:45:38,520 --> 00:45:41,120 Speaker 1: people don't show up to vote, but some of them do, 869 00:45:41,400 --> 00:45:43,240 Speaker 1: and a lot of them vote for the Democratic Party. 870 00:45:43,719 --> 00:45:47,399 Speaker 1: So he also wants to shift blame for this if 871 00:45:47,400 --> 00:45:51,080 Speaker 1: they do end up banning TikTok in a bipartisan direction, 872 00:45:51,360 --> 00:45:54,840 Speaker 1: so that he doesn't completely shoulder the blame, because I 873 00:45:54,880 --> 00:45:57,720 Speaker 1: do think, you know, for a lot of young people, 874 00:45:57,760 --> 00:46:00,399 Speaker 1: and I have some insight into this with how much 875 00:46:00,440 --> 00:46:02,560 Speaker 1: my daughter, how much time my daughter spends on this 876 00:46:02,640 --> 00:46:05,480 Speaker 1: app this is a really like kind of a central 877 00:46:05,480 --> 00:46:07,440 Speaker 1: part of their life. This is really important to them. 878 00:46:07,480 --> 00:46:10,919 Speaker 1: It's where they express themselves creatively, it's their entertainment, it's 879 00:46:10,960 --> 00:46:13,600 Speaker 1: all of that. And so if you and one fell 880 00:46:13,640 --> 00:46:17,680 Speaker 1: swoop ban it, especially without really laying out a case 881 00:46:17,719 --> 00:46:21,320 Speaker 1: that they believe in, buy into, accept and are willing 882 00:46:21,320 --> 00:46:24,399 Speaker 1: to go along with, then you're going to face some 883 00:46:24,920 --> 00:46:27,640 Speaker 1: huge political blowback. And as much as he's trying to 884 00:46:27,680 --> 00:46:32,279 Speaker 1: shift the onus in a bipartisan direction, he's president of 885 00:46:32,280 --> 00:46:35,520 Speaker 1: the United States, so I think and from a political perspective, 886 00:46:35,520 --> 00:46:37,600 Speaker 1: he's still going to really get the blame here if 887 00:46:37,600 --> 00:46:40,759 Speaker 1: they do decide to go forward with banning TikTok completely. 888 00:46:42,360 --> 00:46:44,319 Speaker 1: I've been very annoyed with the way that they've handled it. 889 00:46:44,320 --> 00:46:46,799 Speaker 1: They've been dragging their feet. It's been several years now. 890 00:46:46,880 --> 00:46:49,600 Speaker 1: He's been doing these fake reviews and try to negotiate. 891 00:46:49,600 --> 00:46:51,279 Speaker 1: You know. Another thing I want to say is, I 892 00:46:51,320 --> 00:46:53,080 Speaker 1: know that we covered in our previous show. I think 893 00:46:53,080 --> 00:46:55,759 Speaker 1: about a week ago about how the Biden administration told 894 00:46:55,800 --> 00:46:57,920 Speaker 1: them either for sale or ban. And what did I say? 895 00:46:57,960 --> 00:46:59,480 Speaker 1: I said, a for sale is never going to happen. 896 00:46:59,600 --> 00:47:02,719 Speaker 1: And behold, the Chinese regulators came out and they're like, yeah, 897 00:47:02,760 --> 00:47:04,399 Speaker 1: We're like, we're not going to approve that deal. There's 898 00:47:04,440 --> 00:47:07,319 Speaker 1: no way we're to talk to me sold because that's 899 00:47:07,440 --> 00:47:10,320 Speaker 1: valuable IP for bike Dance. That's one of the crown 900 00:47:10,400 --> 00:47:13,520 Speaker 1: jewels of the Chinese technology empire. Why would they let 901 00:47:13,600 --> 00:47:16,880 Speaker 1: it go. That'd be like imagine if China said, hey, Facebook, 902 00:47:16,920 --> 00:47:19,600 Speaker 1: you've got to sell Oculus. America would be like, no, 903 00:47:19,760 --> 00:47:21,560 Speaker 1: that's not going to happen. You know, we're not going 904 00:47:21,600 --> 00:47:25,480 Speaker 1: to have No Justice Department, regulators or whatever would approve 905 00:47:25,520 --> 00:47:27,879 Speaker 1: that deal again for the same reason. So I think 906 00:47:27,880 --> 00:47:31,000 Speaker 1: a ban is ultimately an inevitability. Personally, I think it's 907 00:47:31,040 --> 00:47:33,279 Speaker 1: a good thing. I do think though, and I think, Look, 908 00:47:33,320 --> 00:47:34,839 Speaker 1: we have a lot of young people who watch the show. 909 00:47:34,960 --> 00:47:37,400 Speaker 1: Let's continue to raise this issues and to talk about it. 910 00:47:37,400 --> 00:47:39,520 Speaker 1: I know, frankly a lot of them are skeptical. Maybe 911 00:47:39,520 --> 00:47:42,520 Speaker 1: you should be, Maybe you should be. Hopefully we can 912 00:47:42,680 --> 00:47:44,160 Speaker 1: either convince you or we can show you that a 913 00:47:44,160 --> 00:47:46,640 Speaker 1: real debate can and should be had here, and that's 914 00:47:46,640 --> 00:47:49,520 Speaker 1: certainly not happening elsewhere. I think that's important. Yeah. Well, 915 00:47:49,560 --> 00:47:52,120 Speaker 1: the last thing I'll say is, you know, I am 916 00:47:52,239 --> 00:47:55,880 Speaker 1: in the skeptical camp for sure, just because I do 917 00:47:55,960 --> 00:48:00,239 Speaker 1: think it is an extraordinary act, and I continue to 918 00:48:00,280 --> 00:48:04,719 Speaker 1: be unpersuaded that the data privacy concerns here are significantly 919 00:48:04,760 --> 00:48:08,080 Speaker 1: different than those with regards to other social media companies. 920 00:48:08,560 --> 00:48:13,160 Speaker 1: But to broaden out, we really have to have some 921 00:48:13,280 --> 00:48:17,520 Speaker 1: sort of a wider ranging reform of social media companies 922 00:48:17,680 --> 00:48:19,880 Speaker 1: so that you are dealing with the Metas of the world, 923 00:48:19,880 --> 00:48:21,719 Speaker 1: you are dealing with the twitters of the world, you 924 00:48:21,760 --> 00:48:24,840 Speaker 1: are dealing with YouTube and all the rest. Because this 925 00:48:24,920 --> 00:48:27,680 Speaker 1: sort of piecemeal approach is not going to be any 926 00:48:27,719 --> 00:48:30,360 Speaker 1: sort of panacea even if we do resolve whatever issues 927 00:48:30,400 --> 00:48:35,839 Speaker 1: people have with TikTok. All right, let's go ahead and 928 00:48:35,880 --> 00:48:39,600 Speaker 1: talk about Siria some extraordinary things happening. Over the last 929 00:48:39,680 --> 00:48:42,839 Speaker 1: couple of days, an American contractor, as we'll have other 930 00:48:42,960 --> 00:48:47,160 Speaker 1: several US service members were wounded in an apparent drone 931 00:48:47,239 --> 00:48:50,200 Speaker 1: attack on a US base in Eastern Seria. Let's go 932 00:48:50,200 --> 00:48:52,400 Speaker 1: ahead and put this up there on the screen. So 933 00:48:52,440 --> 00:48:54,960 Speaker 1: some of the details are a little bit scant, but 934 00:48:55,280 --> 00:48:58,960 Speaker 1: the initial indications that are coming out of this incident 935 00:48:59,080 --> 00:49:02,120 Speaker 1: are really trouble and the Pentagon has to answer a 936 00:49:02,120 --> 00:49:04,680 Speaker 1: lot of questions. So as I said, the Pentagon is 937 00:49:04,680 --> 00:49:07,320 Speaker 1: blaming Iranian back to militias and said that it was 938 00:49:07,320 --> 00:49:11,920 Speaker 1: a quote iranianne or a drone of Iranian origin, whatever 939 00:49:12,000 --> 00:49:16,040 Speaker 1: that means. Obviously, Eastern Syria is a hotly contested territory. 940 00:49:16,080 --> 00:49:20,239 Speaker 1: You've got Iranian backed militias, you've got Islamic militias, you've 941 00:49:20,239 --> 00:49:23,799 Speaker 1: got US backed militias. It's basically a free fire zone. 942 00:49:23,840 --> 00:49:26,719 Speaker 1: It has been now since the beginning of the civil War. 943 00:49:26,920 --> 00:49:30,160 Speaker 1: Occasionally Israeli strikes will happen in the region against Hesbola. 944 00:49:30,239 --> 00:49:33,080 Speaker 1: It's absolute madness going on there. And of course the 945 00:49:33,200 --> 00:49:36,200 Speaker 1: question arises, like why is American, Why are American troops 946 00:49:36,200 --> 00:49:39,160 Speaker 1: even there? Who are these contractors? What are we doing. 947 00:49:40,160 --> 00:49:43,280 Speaker 1: Much of it is currently being conducted under the US 948 00:49:43,360 --> 00:49:47,560 Speaker 1: Anti ISIS mission. So yes, there have been some limited 949 00:49:47,640 --> 00:49:50,279 Speaker 1: number of air strikes and operations against ISIS in the 950 00:49:50,400 --> 00:49:52,799 Speaker 1: last couple of months, but it's one that very much 951 00:49:52,840 --> 00:49:56,000 Speaker 1: flies under the radar until as we all saw during 952 00:49:56,040 --> 00:49:59,120 Speaker 1: the Niger attack, the US service members just end up 953 00:49:59,160 --> 00:50:01,320 Speaker 1: dead in a part of the world that we barely 954 00:50:01,360 --> 00:50:04,239 Speaker 1: even knew that we were still operating in. What is 955 00:50:04,360 --> 00:50:08,320 Speaker 1: especially insane about this attack, Crystal, is that the Basis 956 00:50:08,480 --> 00:50:12,320 Speaker 1: anti air defense the air defense system was not working 957 00:50:12,360 --> 00:50:16,120 Speaker 1: properly and apparently failed, which is what the Pentagon is saying. 958 00:50:16,480 --> 00:50:18,920 Speaker 1: And not only that, not only did it fail, it 959 00:50:18,960 --> 00:50:22,240 Speaker 1: appears that the Iranian militias knew that it was failing 960 00:50:22,320 --> 00:50:26,200 Speaker 1: and specifically choose that time to conduct an attack. So 961 00:50:26,520 --> 00:50:29,880 Speaker 1: not only do we have our guys stationed in eastern 962 00:50:29,920 --> 00:50:33,520 Speaker 1: Syria for a reason that nobody has ever voted for 963 00:50:34,000 --> 00:50:37,000 Speaker 1: or made a case to the American public. By the way, 964 00:50:37,000 --> 00:50:40,120 Speaker 1: we're not at war with Syria, and then also we're 965 00:50:40,160 --> 00:50:43,560 Speaker 1: not even protecting them properly, and now a US contractor 966 00:50:43,719 --> 00:50:47,239 Speaker 1: is dead and several service members are wounded. On top 967 00:50:47,280 --> 00:50:50,839 Speaker 1: of that, more attacks were then conducted over the course 968 00:50:50,880 --> 00:50:52,520 Speaker 1: of the next several days. Let's put this up there 969 00:50:52,520 --> 00:50:55,800 Speaker 1: on the screen where you can actually see a number 970 00:50:55,840 --> 00:51:00,360 Speaker 1: of drone attacks and swarms happened all across of Syria 971 00:51:00,840 --> 00:51:05,440 Speaker 1: in eastern Syria, specifically against other US bases, which actually 972 00:51:05,520 --> 00:51:09,000 Speaker 1: raises the question how many American service members are inside 973 00:51:09,000 --> 00:51:13,479 Speaker 1: of Syria. This was a major topic of discussion during 974 00:51:13,480 --> 00:51:16,440 Speaker 1: the Trump administration when Trump ordered to pull out from Syria. 975 00:51:16,440 --> 00:51:19,640 Speaker 1: That's ultimately why Secretary Mattis quit the administration in the 976 00:51:19,640 --> 00:51:22,080 Speaker 1: first place. And the case that he often was making 977 00:51:22,120 --> 00:51:25,000 Speaker 1: there as many skeptics, people like myself were also saying, 978 00:51:25,120 --> 00:51:27,439 Speaker 1: was Licksen, if you don't get out, then we're never 979 00:51:27,480 --> 00:51:30,840 Speaker 1: gonna leave. And it's been five years since that happened, 980 00:51:31,120 --> 00:51:32,799 Speaker 1: and now we just had a service member or a 981 00:51:32,880 --> 00:51:36,560 Speaker 1: contractor was killed. There several services members who were wounded, 982 00:51:36,800 --> 00:51:38,960 Speaker 1: and on top of that, now we are being drawn 983 00:51:39,080 --> 00:51:41,360 Speaker 1: further into this conflict. Let's throw this up there, the 984 00:51:41,400 --> 00:51:46,719 Speaker 1: Biden administration conducting retaliatory air strikes in Syria in response 985 00:51:46,760 --> 00:51:52,000 Speaker 1: to this attack, escalating tension with the Iranian regime as 986 00:51:52,040 --> 00:51:55,280 Speaker 1: well over this. As if we don't have more problems 987 00:51:55,320 --> 00:51:58,239 Speaker 1: going on elsewhere, in the world. This is just you know, 988 00:51:58,320 --> 00:52:02,480 Speaker 1: like a vintage story I think outside of the Forever War. Yeah, 989 00:52:02,520 --> 00:52:05,920 Speaker 1: I think that is exactly correct. Where it reminds you 990 00:52:06,360 --> 00:52:09,640 Speaker 1: number one, of all of these conflicts that we have 991 00:52:09,880 --> 00:52:12,359 Speaker 1: service members engaged in that the American public has had 992 00:52:12,360 --> 00:52:14,920 Speaker 1: no ability to debate that there was never any congressional 993 00:52:14,920 --> 00:52:19,760 Speaker 1: authorization for number two that you know, this is all 994 00:52:19,960 --> 00:52:23,680 Speaker 1: fine and good until you have some major conflict as 995 00:52:23,680 --> 00:52:27,720 Speaker 1: we have basically right now with you know, an advers 996 00:52:27,719 --> 00:52:31,640 Speaker 1: and a significant adversary and a significant power player in 997 00:52:31,719 --> 00:52:34,560 Speaker 1: terms of the region. You know, this leads us into 998 00:52:34,719 --> 00:52:37,759 Speaker 1: sort of direct conflict with Iran, which can have all 999 00:52:37,760 --> 00:52:41,719 Speaker 1: sorts of spiraling diplomatic consequences that can end in disaster. 1000 00:52:42,239 --> 00:52:44,799 Speaker 1: You know. The reporting suggests that there's more than nine 1001 00:52:44,880 --> 00:52:50,640 Speaker 1: hundred actual service members in Syria remaining and hundreds more contractors. 1002 00:52:50,640 --> 00:52:54,439 Speaker 1: We don't even know what number that is. So there 1003 00:52:54,560 --> 00:52:59,279 Speaker 1: continues to be potential for disaster here. As evidence by this, 1004 00:52:59,280 --> 00:53:02,520 Speaker 1: this is also not the first time that President Biden 1005 00:53:02,800 --> 00:53:05,799 Speaker 1: has carried on strikes within Syria. There were strikes in 1006 00:53:05,840 --> 00:53:08,280 Speaker 1: February and June of twenty twenty one. There were strikes 1007 00:53:08,320 --> 00:53:12,040 Speaker 1: in August of twenty twenty two and now this latest round. 1008 00:53:12,239 --> 00:53:15,360 Speaker 1: So I think it has all the elements of total 1009 00:53:15,440 --> 00:53:19,399 Speaker 1: lack of transparency, total lack of accountability, and a very 1010 00:53:19,440 --> 00:53:22,839 Speaker 1: potentially dangerous and fraud situation that the American people have 1011 00:53:22,920 --> 00:53:27,279 Speaker 1: really had no insight into or say over. Yes, And 1012 00:53:27,320 --> 00:53:30,000 Speaker 1: I also think it's important for people to understand American 1013 00:53:30,440 --> 00:53:34,880 Speaker 1: the US Congress never authorized any troops inside of Syria. 1014 00:53:34,920 --> 00:53:37,719 Speaker 1: All of this is being done under the auspices of 1015 00:53:37,800 --> 00:53:41,400 Speaker 1: Operation Inherent Resolve, which is the US backed mission to 1016 00:53:41,480 --> 00:53:47,160 Speaker 1: support Iraqi security forces against ISIS inside of Iraq. Obama 1017 00:53:47,239 --> 00:53:51,680 Speaker 1: and President Trump expanded an Inherent Resolve to secret mission 1018 00:53:51,760 --> 00:53:55,560 Speaker 1: of at one point thousands of American service members inside 1019 00:53:55,600 --> 00:53:59,960 Speaker 1: of Syria. Syria, Look, we do not recognize any government 1020 00:54:00,520 --> 00:54:04,880 Speaker 1: outside of Syria. The Aside regime clearly is remains in 1021 00:54:04,920 --> 00:54:08,439 Speaker 1: power throughout the country. This is the sovereign nation which 1022 00:54:08,560 --> 00:54:11,800 Speaker 1: US forces are stationed on without the explicit permission and 1023 00:54:11,880 --> 00:54:14,480 Speaker 1: in fact the protests of the government who is in 1024 00:54:14,520 --> 00:54:17,840 Speaker 1: control in that region. We are basically doing so in 1025 00:54:18,000 --> 00:54:20,600 Speaker 1: occupation of at least you know, the limited bases in 1026 00:54:20,640 --> 00:54:24,919 Speaker 1: other territory that we have with no legitimacy from Congress 1027 00:54:25,200 --> 00:54:28,520 Speaker 1: or from the nation whose territory that we are operating on. 1028 00:54:28,760 --> 00:54:32,440 Speaker 1: This is again part of the problem with the congressional 1029 00:54:32,440 --> 00:54:35,759 Speaker 1: abdication of responsibility and the authorization of the use of 1030 00:54:35,800 --> 00:54:39,560 Speaker 1: military force that we saw in Afghanistan and in Iraq, 1031 00:54:39,640 --> 00:54:43,200 Speaker 1: where all of these missions, like in Niger and in 1032 00:54:43,560 --> 00:54:48,000 Speaker 1: Somalia and you know, God who knows where Mali many 1033 00:54:48,000 --> 00:54:51,160 Speaker 1: of these other places are all done without any actual 1034 00:54:51,200 --> 00:54:54,279 Speaker 1: government approval. In many cases, members of Congress, even those 1035 00:54:54,280 --> 00:54:57,480 Speaker 1: on the Armed Services Committee and others, have no idea 1036 00:54:57,800 --> 00:55:00,720 Speaker 1: what these troops are doing there. And look, let's be honest, 1037 00:55:00,880 --> 00:55:03,719 Speaker 1: does the Biden administration even know what's going on? Like 1038 00:55:04,120 --> 00:55:06,240 Speaker 1: would do they know what they're doing there? It really 1039 00:55:06,280 --> 00:55:09,759 Speaker 1: is just run outside of the Pentagon on complete autopilot, 1040 00:55:09,920 --> 00:55:11,839 Speaker 1: and then the world just wakes up, as we did 1041 00:55:11,840 --> 00:55:15,520 Speaker 1: in Niger when somebody dies. So look, unfortunately, just like 1042 00:55:15,560 --> 00:55:17,759 Speaker 1: in that situation, most likely what will happen is the 1043 00:55:17,760 --> 00:55:20,759 Speaker 1: Pentagon will cover it up, They'll try and act tough, 1044 00:55:20,960 --> 00:55:23,319 Speaker 1: the Biden administration will give any answers, and the troop 1045 00:55:23,880 --> 00:55:26,520 Speaker 1: presidence will just continue. You know, you covered that Niger 1046 00:55:26,600 --> 00:55:29,760 Speaker 1: attack there at the time. This seems very similar where 1047 00:55:30,280 --> 00:55:32,840 Speaker 1: what the hell is going on here. We have people 1048 00:55:32,880 --> 00:55:36,600 Speaker 1: in far flung places. Air defense doesn't even work properly. 1049 00:55:37,000 --> 00:55:40,600 Speaker 1: A man is dead, like you can't just you can't 1050 00:55:40,640 --> 00:55:43,000 Speaker 1: whitewash something like this, and yet they do it all 1051 00:55:43,040 --> 00:55:46,520 Speaker 1: the time. Yeah, I think that's all well said. Okay, 1052 00:55:46,880 --> 00:55:50,480 Speaker 1: let's also talk about Vladimir Putin. This is important international news. 1053 00:55:50,560 --> 00:55:52,759 Speaker 1: So President Putin, let's go and put this up there 1054 00:55:52,800 --> 00:55:56,440 Speaker 1: on the screen, speaking in a long interview, saying that 1055 00:55:56,480 --> 00:56:00,960 Speaker 1: they will station tactical nuclear weapons inside Belarus. So this 1056 00:56:01,000 --> 00:56:04,080 Speaker 1: isn't an immediate action that President Putin says that the 1057 00:56:04,120 --> 00:56:07,640 Speaker 1: Russians will undertake. But what they're doing is they're going 1058 00:56:07,680 --> 00:56:11,720 Speaker 1: to be building a new tactical nuclear missile base inside 1059 00:56:11,760 --> 00:56:14,400 Speaker 1: of Belarus. The reason why this is important is obviously 1060 00:56:14,440 --> 00:56:17,359 Speaker 1: Belarus is not inside of Russia and is its own 1061 00:56:17,600 --> 00:56:21,680 Speaker 1: independent country, of course, allied very strongly with the Putin regime. 1062 00:56:21,960 --> 00:56:25,040 Speaker 1: The tactical nuclear weapon issue also is not one that 1063 00:56:25,080 --> 00:56:28,120 Speaker 1: has been raised in quite some time. Crystal Putin actually 1064 00:56:28,200 --> 00:56:32,080 Speaker 1: kind of dropped the tactical nuclear weapon threats a couple 1065 00:56:32,080 --> 00:56:34,960 Speaker 1: of months ago, trying to tone down the temperature, saying, no, 1066 00:56:35,040 --> 00:56:37,319 Speaker 1: we would never do that. That's not something that's under 1067 00:56:37,320 --> 00:56:41,240 Speaker 1: consideration after significant amounts of leaks and intimations by President 1068 00:56:41,320 --> 00:56:44,920 Speaker 1: former President Mediaevet that tactical nuclear weapons were under consider 1069 00:56:45,239 --> 00:56:48,160 Speaker 1: eration inside of Ukraine. So clearly, this is once again 1070 00:56:48,200 --> 00:56:51,120 Speaker 1: trying to up the ante, trying and trying to raise 1071 00:56:51,160 --> 00:56:54,120 Speaker 1: the stakes ahead of a so called and possible spring 1072 00:56:54,160 --> 00:56:57,279 Speaker 1: offensive by both the Russians and by the Ukrainians, and 1073 00:56:57,280 --> 00:57:01,160 Speaker 1: of course ongoing Ukrainian fighting happening right now inside of Bagmut. 1074 00:57:01,280 --> 00:57:04,920 Speaker 1: But overall, with the strategic picture, it's something that is 1075 00:57:04,920 --> 00:57:07,239 Speaker 1: a bit of a nightmare for the Ukrainians and they 1076 00:57:07,280 --> 00:57:09,759 Speaker 1: are recognizing as such. Let's put this next one up 1077 00:57:09,800 --> 00:57:12,799 Speaker 1: there on the screen please, as you can see, what 1078 00:57:12,840 --> 00:57:16,920 Speaker 1: they are calling for is an emergency UN Security Council 1079 00:57:17,000 --> 00:57:20,440 Speaker 1: session over the nuclear weapons deployment. First of all, it 1080 00:57:20,480 --> 00:57:23,320 Speaker 1: would be a violation of the Nuclear non Proliferation Treaty. 1081 00:57:23,520 --> 00:57:26,640 Speaker 1: It also would be one that has done explicitly kind 1082 00:57:26,640 --> 00:57:31,560 Speaker 1: of marching tactical nuclear weapons westward outside of the Russian border. 1083 00:57:31,800 --> 00:57:35,520 Speaker 1: Of course, the US and NATO has its own nuclear 1084 00:57:35,560 --> 00:57:38,680 Speaker 1: weapons bases which they have long complained about the Russians 1085 00:57:38,680 --> 00:57:41,240 Speaker 1: and the Chinese, and this is something that they are 1086 00:57:41,280 --> 00:57:43,760 Speaker 1: basically trying to mimic that strategy of like, Okay, well 1087 00:57:43,920 --> 00:57:46,680 Speaker 1: if you can do it, so can we. Encirclement is 1088 00:57:46,720 --> 00:57:49,600 Speaker 1: something that the Ukrainians probably fear the most, and there's 1089 00:57:49,600 --> 00:57:53,360 Speaker 1: been some speculation of these growing ties between Belarus and 1090 00:57:53,400 --> 00:57:57,720 Speaker 1: Russia militarily that Belarus would even authorize operations from the 1091 00:57:57,720 --> 00:58:00,400 Speaker 1: north in a future type of Spring offensive to draw 1092 00:58:00,480 --> 00:58:03,240 Speaker 1: pressure away from the Spring offense if that's happening in 1093 00:58:03,320 --> 00:58:07,240 Speaker 1: eastern Ukraine. So overall, obviously it's a troubling strategic situation 1094 00:58:07,440 --> 00:58:09,840 Speaker 1: to be facing right now, no doubt about it. And 1095 00:58:10,280 --> 00:58:13,200 Speaker 1: to underscore some of what you were saying there, This 1096 00:58:13,320 --> 00:58:16,600 Speaker 1: was Putin's justification entirely was like, well the US does it, 1097 00:58:16,640 --> 00:58:19,000 Speaker 1: so why can't we? Said, we're doing what they have 1098 00:58:19,080 --> 00:58:22,840 Speaker 1: been doing for decades, stationing these tactical nukes in certain 1099 00:58:22,920 --> 00:58:26,760 Speaker 1: Allied countries, preparing the launch platforms and training their crews. 1100 00:58:27,200 --> 00:58:29,960 Speaker 1: We are going to do the same thing. And I 1101 00:58:29,960 --> 00:58:35,080 Speaker 1: think it also exposes one of the sort of media 1102 00:58:35,240 --> 00:58:38,720 Speaker 1: tropes that has been put out there to convince Americans 1103 00:58:38,720 --> 00:58:43,760 Speaker 1: that there is no threat of further escalation potential nuclear conflict, 1104 00:58:43,960 --> 00:58:46,760 Speaker 1: which was this idea that Russia hasn't you know, they've 1105 00:58:46,840 --> 00:58:49,440 Speaker 1: drawn all these red lines and we've gone ahead and 1106 00:58:49,480 --> 00:58:51,200 Speaker 1: sent them tanks and done all these other things. They 1107 00:58:51,240 --> 00:58:55,200 Speaker 1: haven't actually escalated. Well, I think this is definitely an escalation, 1108 00:58:55,520 --> 00:59:01,760 Speaker 1: and they point directly to the fact that Britain decided 1109 00:59:02,000 --> 00:59:06,160 Speaker 1: recently to provide Ukraine with armor piercing rounds that contain 1110 00:59:06,320 --> 00:59:12,080 Speaker 1: depleted uranium. This move. Depleted uranium is a byproduct of 1111 00:59:12,120 --> 00:59:15,880 Speaker 1: the uranium enrichment process. It's needed to create nuclear weapons. Now, 1112 00:59:15,880 --> 00:59:18,080 Speaker 1: we're not at risk of any sort of like nuclear 1113 00:59:18,120 --> 00:59:23,120 Speaker 1: explosion from these from this ammunition, but the rounds can 1114 00:59:23,480 --> 00:59:27,400 Speaker 1: emit low levels of radiation and the UNS Nuclear Watchdog 1115 00:59:27,440 --> 00:59:30,680 Speaker 1: has warned of the possible dangers of exposure. So that 1116 00:59:30,800 --> 00:59:33,520 Speaker 1: is what they're pointing to as the reason for making 1117 00:59:33,600 --> 00:59:36,800 Speaker 1: this move right now. And also, as you indicated, saying, hey, 1118 00:59:36,800 --> 00:59:39,080 Speaker 1: you guys are doing it, so why can't we as well? 1119 00:59:39,160 --> 00:59:42,720 Speaker 1: Of course, this reminds all of us what a dangerous 1120 00:59:42,960 --> 00:59:47,200 Speaker 1: game is being played right now, with potential ramifications that 1121 00:59:47,280 --> 00:59:50,480 Speaker 1: go far beyond Ukraine, and why it is so critical 1122 00:59:50,600 --> 00:59:54,720 Speaker 1: to get this war resolved by diplomatic means as soon 1123 00:59:55,000 --> 00:59:59,760 Speaker 1: as it is possibly feasible to do so. I also 1124 01:00:00,000 --> 01:00:02,400 Speaker 1: I don't think it is an accident that this happened 1125 01:00:02,560 --> 01:00:06,360 Speaker 1: right after the meeting between President Putin and Shishingping. Let's 1126 01:00:06,360 --> 01:00:07,920 Speaker 1: go and put this up there on the screen from 1127 01:00:07,960 --> 01:00:11,720 Speaker 1: the Financial Times about the tightening embrace between China and 1128 01:00:11,800 --> 01:00:15,320 Speaker 1: Russia looking to try and build this bulwark against the West. 1129 01:00:15,400 --> 01:00:18,040 Speaker 1: China also obviously complains about this with respect to US 1130 01:00:18,120 --> 01:00:21,600 Speaker 1: bases in Japan and in South Korea, also pointing to 1131 01:00:21,640 --> 01:00:25,280 Speaker 1: them as attempts to encircle them. So the point b 1132 01:00:25,720 --> 01:00:31,320 Speaker 1: that the alliance or seeming alliance growing between the two could, 1133 01:00:31,720 --> 01:00:35,040 Speaker 1: and this is only could in bolden either to take 1134 01:00:35,080 --> 01:00:37,480 Speaker 1: more aggressive action. Now, at the end of the day, 1135 01:00:37,560 --> 01:00:40,200 Speaker 1: a deployment is a deployment. It is not one with 1136 01:00:40,400 --> 01:00:43,040 Speaker 1: means that they're actually being used. That said, it is 1137 01:00:43,160 --> 01:00:45,440 Speaker 1: not usually a good thing whenever you start moving the 1138 01:00:45,520 --> 01:00:49,360 Speaker 1: tactical nuclear weapons around and specifically closer to a hot war, 1139 01:00:49,640 --> 01:00:52,400 Speaker 1: the largest war inside of Europe ever since World War Two. 1140 01:00:52,680 --> 01:00:54,880 Speaker 1: I think that you put all of that together and 1141 01:00:54,960 --> 01:00:58,200 Speaker 1: you do see it's a serious problem here with respect 1142 01:00:58,240 --> 01:01:02,240 Speaker 1: to the strategic grand situation, because if China starts having 1143 01:01:02,320 --> 01:01:06,400 Speaker 1: lethal weapons flow towards Russia, specifically, if this call between 1144 01:01:06,480 --> 01:01:10,120 Speaker 1: Zelensky and she doesn't happen. And if Zelensky ends up 1145 01:01:10,160 --> 01:01:13,360 Speaker 1: rejecting the Chinese peace plan outright, it will give them 1146 01:01:13,360 --> 01:01:16,400 Speaker 1: the easiest diplomatic cover that they've ever had to start 1147 01:01:16,440 --> 01:01:19,600 Speaker 1: helping the Russians even more so in a military capacity. 1148 01:01:19,920 --> 01:01:23,200 Speaker 1: This too could set the stage for either a Grand 1149 01:01:23,240 --> 01:01:27,600 Speaker 1: Spring offensive which goes well or goes badly, and both, unfortunately, 1150 01:01:27,640 --> 01:01:31,000 Speaker 1: are disasters. A Russian Spring offensive that goes well, obviously, 1151 01:01:31,040 --> 01:01:33,680 Speaker 1: that's a bloodbath through the Ukrainians, and that's one in 1152 01:01:33,720 --> 01:01:37,040 Speaker 1: which guarantees the war even more and hundreds of thousands 1153 01:01:37,040 --> 01:01:39,560 Speaker 1: even more so will be killed on both sides, of course. 1154 01:01:39,840 --> 01:01:42,600 Speaker 1: But then if it goes badly, that could also make 1155 01:01:42,640 --> 01:01:45,240 Speaker 1: them feel as if they are having their backs against 1156 01:01:45,280 --> 01:01:48,120 Speaker 1: the corner and they must then reach for the tactical 1157 01:01:48,200 --> 01:01:51,960 Speaker 1: nuclear weapon to save their territory, specifically in some sort 1158 01:01:51,960 --> 01:01:54,720 Speaker 1: of runaway Ukrainian scenario where you know they looks like 1159 01:01:54,760 --> 01:01:57,800 Speaker 1: they may be able to take crimea. Now, neither of those, 1160 01:01:57,840 --> 01:02:00,160 Speaker 1: by the way, is all that likely. Most likely is 1161 01:02:00,480 --> 01:02:03,200 Speaker 1: a stalemate, but it just shows you that the risk 1162 01:02:03,360 --> 01:02:05,680 Speaker 1: in both cases is ones that we have to watch, 1163 01:02:05,760 --> 01:02:09,640 Speaker 1: and that risk in those cases in one which always 1164 01:02:09,680 --> 01:02:12,160 Speaker 1: results in a lot of death. Yeah, and thus could 1165 01:02:12,240 --> 01:02:15,400 Speaker 1: even broil the Brigger conflict. That's exactly right and thus 1166 01:02:15,480 --> 01:02:19,840 Speaker 1: far in terms of how the Biden administration has treated 1167 01:02:20,000 --> 01:02:24,240 Speaker 1: this conflict. Basically, whatever happens on the battlefield is a 1168 01:02:24,400 --> 01:02:28,520 Speaker 1: justification for US shipping even more aid and escalating even 1169 01:02:28,520 --> 01:02:31,120 Speaker 1: further than we already have. If Ukraine is on the 1170 01:02:31,120 --> 01:02:33,320 Speaker 1: backfoot and they're not doing well, it's, oh, we've got 1171 01:02:33,320 --> 01:02:36,200 Speaker 1: to strength in Ukraine's hand to hopefully ultimately get them 1172 01:02:36,240 --> 01:02:39,000 Speaker 1: in a better position for the negotiating table. If Russia 1173 01:02:39,080 --> 01:02:40,960 Speaker 1: is on the back foot, then it's, oh, Ukraine can 1174 01:02:41,040 --> 01:02:44,000 Speaker 1: actually win. Let's go ahead and build them up as 1175 01:02:44,040 --> 01:02:45,840 Speaker 1: much as we can so that we can actually end 1176 01:02:45,880 --> 01:02:48,880 Speaker 1: this war with a Russian defeat. And if it's a stalemate, 1177 01:02:48,920 --> 01:02:51,200 Speaker 1: then it's still we got to strengthen the Ukrainian position 1178 01:02:51,240 --> 01:02:53,840 Speaker 1: here to get them to the negotiating table. Of course, 1179 01:02:53,880 --> 01:02:58,200 Speaker 1: all of those roads lead to further escalation rather than 1180 01:02:58,560 --> 01:03:02,360 Speaker 1: actually getting anyone to the negotiating table, not that I'm 1181 01:03:02,360 --> 01:03:05,520 Speaker 1: claiming that would be an easy feat whatsoever. But you know, 1182 01:03:05,760 --> 01:03:11,360 Speaker 1: General Millie, the Rand Corporation, lots of mainstream individuals acknowledging 1183 01:03:11,640 --> 01:03:15,680 Speaker 1: this has to end in a diplomatic resolution, and that 1184 01:03:15,720 --> 01:03:18,680 Speaker 1: the sooner we can get there, the better it will 1185 01:03:18,720 --> 01:03:22,240 Speaker 1: be for everyone, but in particular for the Ukrainian people 1186 01:03:22,360 --> 01:03:26,640 Speaker 1: themselves and avoid you know, further loss of unnecessary life 1187 01:03:26,680 --> 01:03:31,960 Speaker 1: and economic devastation. So with all of that as backdrop, 1188 01:03:32,280 --> 01:03:35,440 Speaker 1: let's get to this story from the New York Times. 1189 01:03:35,720 --> 01:03:39,080 Speaker 1: This is quite extraordinary. Let's go and put it up 1190 01:03:39,080 --> 01:03:41,840 Speaker 1: on the screen here. You got to read this whole 1191 01:03:41,840 --> 01:03:43,520 Speaker 1: report because I'm only going to be able to touch 1192 01:03:43,560 --> 01:03:45,280 Speaker 1: on some of the high level details here. But their 1193 01:03:45,320 --> 01:03:50,560 Speaker 1: headline is stolen valor. The US volunteers in Ukraine, who lie, 1194 01:03:50,880 --> 01:03:54,680 Speaker 1: waste and bicker, people who would not be allowed anywhere 1195 01:03:54,720 --> 01:03:57,800 Speaker 1: near the battlefield in a US led war, are active 1196 01:03:57,920 --> 01:04:02,520 Speaker 1: on the Ukrainian front with ready access to American weapons. 1197 01:04:02,880 --> 01:04:07,600 Speaker 1: So basically what happened here is Zelensky understandably was like, Hey, 1198 01:04:07,680 --> 01:04:10,560 Speaker 1: anyone around the world, please who is able to fight, 1199 01:04:10,760 --> 01:04:14,080 Speaker 1: please come and help us. And so there were thousands 1200 01:04:14,080 --> 01:04:17,560 Speaker 1: of Americans who responded to this call. The New York 1201 01:04:17,600 --> 01:04:19,480 Speaker 1: Times puts it this way. They say they rush to 1202 01:04:19,560 --> 01:04:22,080 Speaker 1: Ukraine by the thousands, many of them Americans, who promised 1203 01:04:22,080 --> 01:04:24,840 Speaker 1: to bring military experience, money or supplies to the battleground 1204 01:04:24,880 --> 01:04:28,520 Speaker 1: of a righteous war. Hometown newspapers hailed their commitment. Donors 1205 01:04:28,520 --> 01:04:31,960 Speaker 1: backed them with millions of dollars. Now, after a year 1206 01:04:32,000 --> 01:04:35,200 Speaker 1: of combat, many of these homespun groups of volunteers are 1207 01:04:35,200 --> 01:04:38,080 Speaker 1: fighting with themselves and undermining the war efforts. Some have 1208 01:04:38,160 --> 01:04:41,600 Speaker 1: wasted money or stolen valor others have cloaked themselves in 1209 01:04:41,720 --> 01:04:46,160 Speaker 1: charity while also trying to profit off the war records show. 1210 01:04:46,360 --> 01:04:50,160 Speaker 1: One of the individuals that they highlight here is Malcolm Nance, 1211 01:04:50,560 --> 01:04:57,640 Speaker 1: who became an absolute resistant superstar over on MSNBC during Russiagate. 1212 01:04:58,000 --> 01:04:59,960 Speaker 1: And he was one of these people who, you know, 1213 01:05:00,040 --> 01:05:02,240 Speaker 1: when the Ukraine War started, he said, all right, I'm 1214 01:05:02,280 --> 01:05:04,640 Speaker 1: signing up. I'm going to go over there and I'm 1215 01:05:04,640 --> 01:05:06,480 Speaker 1: going to fight this. You know, I'm going to fight 1216 01:05:06,520 --> 01:05:10,680 Speaker 1: in this war personally. So they say that when he 1217 01:05:11,080 --> 01:05:13,919 Speaker 1: arrived he made a plan to try to bring order 1218 01:05:13,920 --> 01:05:17,000 Speaker 1: and discipline to this legion of fighters that had been, 1219 01:05:17,240 --> 01:05:20,720 Speaker 1: you know, beset by infighting and chaos, and you know, 1220 01:05:20,880 --> 01:05:23,360 Speaker 1: had been lying about their military records and all these 1221 01:05:23,400 --> 01:05:28,200 Speaker 1: other issues. Instead, they say he became enmeshed in the chaos. Today, 1222 01:05:28,200 --> 01:05:31,920 Speaker 1: he's involved in a messy, distracting power struggle, one that 1223 01:05:32,120 --> 01:05:34,440 Speaker 1: it will surprise no one to learn, plays down often 1224 01:05:34,480 --> 01:05:38,600 Speaker 1: on Twitter, where Malcolm Nance taunted one former ally as 1225 01:05:38,720 --> 01:05:42,400 Speaker 1: fat and an associate of a verified con artist. One 1226 01:05:42,440 --> 01:05:44,560 Speaker 1: of the things that they point to here, Sager, which 1227 01:05:44,600 --> 01:05:46,840 Speaker 1: will also be a familiar pattern for those who followed 1228 01:05:46,880 --> 01:05:49,400 Speaker 1: his work on Russia Gate, is he will use his 1229 01:05:49,760 --> 01:05:54,560 Speaker 1: counterintelligence background to throw out all sorts of allegations about 1230 01:05:54,600 --> 01:05:58,840 Speaker 1: people that you know are totally at least unproven. He 1231 01:05:59,080 --> 01:06:04,520 Speaker 1: branded one person as a potential Russian spy, offering no evidence. 1232 01:06:05,120 --> 01:06:09,320 Speaker 1: This individual, of course, denied the allegations. He defended himself 1233 01:06:09,360 --> 01:06:10,960 Speaker 1: saying that as a member of the Legion with an 1234 01:06:11,000 --> 01:06:14,600 Speaker 1: intelligence background, he developed concerns that he felt an obligation 1235 01:06:14,680 --> 01:06:18,280 Speaker 1: to report this to Ukrainian counterintelligence. He has now left 1236 01:06:18,400 --> 01:06:21,400 Speaker 1: Ukraine potentially was forced down, but we'll just say left Ukraine, 1237 01:06:21,480 --> 01:06:25,960 Speaker 1: but continues fundraising with a new group of allies. And 1238 01:06:26,040 --> 01:06:29,600 Speaker 1: a number of these new allies are proven liars who 1239 01:06:29,640 --> 01:06:32,520 Speaker 1: have lied about their military experience, lied about their past 1240 01:06:32,560 --> 01:06:36,920 Speaker 1: work experience, etc. So a lot of shady dealings going 1241 01:06:37,000 --> 01:06:40,960 Speaker 1: on here that they're tracking the times. Oh yeah, this 1242 01:06:41,080 --> 01:06:43,760 Speaker 1: is so disgusting. I mean when you read this with Malcolm, 1243 01:06:43,800 --> 01:06:46,720 Speaker 1: I mean clearly got himself embroiled. Now he's raising money, 1244 01:06:46,760 --> 01:06:49,320 Speaker 1: the denouncing other people. And you know what bothers me 1245 01:06:49,360 --> 01:06:52,320 Speaker 1: the most is, Look, there are a lot of well 1246 01:06:52,360 --> 01:06:55,200 Speaker 1: meeting people here in this country, around the world, who 1247 01:06:55,240 --> 01:06:57,880 Speaker 1: care a lot about Ukraine, who gave their hard earned 1248 01:06:57,920 --> 01:07:00,400 Speaker 1: money to these people with the belief that they were 1249 01:07:00,480 --> 01:07:04,280 Speaker 1: supporting people who are going to Ukraine to selflessly give 1250 01:07:04,320 --> 01:07:07,640 Speaker 1: their lives and to support those military forces. And if 1251 01:07:07,640 --> 01:07:12,320 Speaker 1: that's the case, these people are the worst of society 1252 01:07:12,720 --> 01:07:15,760 Speaker 1: because and I guess allegedly I should say for the lawyers, 1253 01:07:16,320 --> 01:07:19,320 Speaker 1: they took their hard earned money, are embezzling it, in 1254 01:07:19,360 --> 01:07:22,560 Speaker 1: some cases wasting it, and in the worst cases, Crystal, 1255 01:07:22,720 --> 01:07:27,040 Speaker 1: they are drawing resources from the Ukrainian military, who has 1256 01:07:27,080 --> 01:07:29,840 Speaker 1: to deal with these morons who are like, who are you? 1257 01:07:30,120 --> 01:07:33,160 Speaker 1: Why are you showing up here? In some cases they 1258 01:07:33,200 --> 01:07:35,240 Speaker 1: had to kick them out for fighting with each other. 1259 01:07:35,560 --> 01:07:38,600 Speaker 1: Now many of them are squabbling online. All of them 1260 01:07:38,720 --> 01:07:42,040 Speaker 1: we well healed by donors. There's also a secondary part 1261 01:07:42,080 --> 01:07:44,440 Speaker 1: of this where if you read this, our producer Griffin 1262 01:07:44,520 --> 01:07:46,320 Speaker 1: made a joke this morning that this should be made 1263 01:07:46,320 --> 01:07:48,840 Speaker 1: into a movie. It really should be made into a movie, 1264 01:07:48,840 --> 01:07:52,040 Speaker 1: The Grifters of Ukraine. But one of the ones that 1265 01:07:52,080 --> 01:07:55,040 Speaker 1: bothered me the most was a guy who showed up 1266 01:07:55,040 --> 01:07:58,520 Speaker 1: there who said, I've been shooting rifles all my life, 1267 01:07:58,800 --> 01:08:02,439 Speaker 1: no formal training, never been in the military, shows up there, 1268 01:08:03,120 --> 01:08:08,680 Speaker 1: starts uh fighting other American militia members, basically saying that 1269 01:08:08,720 --> 01:08:14,360 Speaker 1: they were delivered brand new American service weapons basically out 1270 01:08:14,360 --> 01:08:16,800 Speaker 1: of a crate. When he was pressed, he was like, yeah, 1271 01:08:16,840 --> 01:08:18,800 Speaker 1: I don't know where they came from. I think we 1272 01:08:18,840 --> 01:08:22,160 Speaker 1: all know where they came from. Okay, so we're talking 1273 01:08:22,200 --> 01:08:28,479 Speaker 1: here about unvetted, untrained yahoos from the US not saying 1274 01:08:28,479 --> 01:08:30,920 Speaker 1: they aren't brave like you certainly are. To be going 1275 01:08:30,960 --> 01:08:34,559 Speaker 1: into an active war zone with US provided and paid 1276 01:08:34,920 --> 01:08:38,000 Speaker 1: weapons and ammunition in their hands and throwing them at 1277 01:08:38,040 --> 01:08:41,880 Speaker 1: the Russians. Does that sound responsible to you? That's not responsible. 1278 01:08:42,120 --> 01:08:45,680 Speaker 1: And many of them, that's many of them aligning with 1279 01:08:45,760 --> 01:08:52,040 Speaker 1: these you know, far right, potentially Nazi Nazi ideology battalions. 1280 01:08:52,760 --> 01:08:55,360 Speaker 1: The jude you're talking about, this guy James Vasquez had 1281 01:08:55,400 --> 01:08:58,560 Speaker 1: said he deployed to Kuwait, said he deployed and a 1282 01:08:58,680 --> 01:09:03,120 Speaker 1: rock all a lie. He left the army Reserve, not 1283 01:09:03,160 --> 01:09:05,200 Speaker 1: as a sergeant, as he claimed, but as a private 1284 01:09:05,200 --> 01:09:07,840 Speaker 1: first class, one of the army's lowest ranks. Still, they 1285 01:09:07,880 --> 01:09:11,120 Speaker 1: say he had easy access to weapons, including American rifles. 1286 01:09:11,320 --> 01:09:14,000 Speaker 1: Where did they come from? Quote, I'm not exactly sure, 1287 01:09:14,560 --> 01:09:17,360 Speaker 1: mister Vasquez said in a text message. The rifles, he added, 1288 01:09:17,400 --> 01:09:20,360 Speaker 1: were brand new out of the box, and we have plenty. 1289 01:09:20,640 --> 01:09:23,320 Speaker 1: He also tweeted that he should not have to worry 1290 01:09:23,360 --> 01:09:27,840 Speaker 1: about international rules of war while he's in Ukraine. He 1291 01:09:27,960 --> 01:09:33,200 Speaker 1: admitted to misrepresenting his military record for decades. He acknowledged 1292 01:09:33,240 --> 01:09:37,479 Speaker 1: being kicked out of the army, but wouldn't talk about why. Quote. 1293 01:09:37,600 --> 01:09:39,960 Speaker 1: I had to tell a million lines to get ahead. 1294 01:09:40,280 --> 01:09:42,920 Speaker 1: I didn't realize it was going to come to this. 1295 01:09:43,160 --> 01:09:44,680 Speaker 1: And if you read through, that's like the beginning of 1296 01:09:44,680 --> 01:09:46,400 Speaker 1: the article. If you read through all the way to 1297 01:09:46,400 --> 01:09:48,760 Speaker 1: the end, you'll find Malcolm Nance defending him and saying 1298 01:09:48,760 --> 01:09:52,160 Speaker 1: he's not a fake, he's the real deal. But these 1299 01:09:52,160 --> 01:09:55,760 Speaker 1: are individuals who would never make it on, you know, 1300 01:09:55,880 --> 01:09:58,479 Speaker 1: into the US mid This guy was actively kicked out 1301 01:09:58,840 --> 01:10:01,040 Speaker 1: of the army, and yet in the context of the 1302 01:10:01,160 --> 01:10:05,000 Speaker 1: Ukrainian conflict, he's got access to apparently whatever weapons he wants. 1303 01:10:05,680 --> 01:10:08,479 Speaker 1: So it also speaks to a lot of questions that 1304 01:10:08,560 --> 01:10:11,120 Speaker 1: we have raised about, Okay, we're shipping all of this 1305 01:10:11,240 --> 01:10:14,519 Speaker 1: lethal aid quote unquote over there, where's it going, who's 1306 01:10:14,520 --> 01:10:16,360 Speaker 1: getting their hands on it? Well, we know one person 1307 01:10:16,400 --> 01:10:18,920 Speaker 1: who got their hands on it, mister James Vasquez, who's 1308 01:10:18,960 --> 01:10:22,280 Speaker 1: been lying about everything. And let's not forget this. The 1309 01:10:22,280 --> 01:10:25,240 Speaker 1: Biden administration has assured us we have no indications of 1310 01:10:25,280 --> 01:10:27,719 Speaker 1: misuse of American funds that have been sent to Ukraine. 1311 01:10:27,760 --> 01:10:30,479 Speaker 1: You're looking at direct evidence right there. You got some 1312 01:10:30,640 --> 01:10:34,320 Speaker 1: crazy guy who barely served in the military. He's over 1313 01:10:34,360 --> 01:10:37,599 Speaker 1: there with his hands on brand new weapons, saying Crystal, 1314 01:10:37,600 --> 01:10:39,680 Speaker 1: he doesn't need to abide by the international What did 1315 01:10:39,680 --> 01:10:42,640 Speaker 1: you say, the international rule war? So wait, are you 1316 01:10:42,640 --> 01:10:45,360 Speaker 1: saying you're going to commit war crimes with US provided weapons? 1317 01:10:45,439 --> 01:10:47,680 Speaker 1: Because that doesn't sound great. Is that something that you 1318 01:10:47,720 --> 01:10:51,280 Speaker 1: want your hands on. Nobody here is defending the Russians. 1319 01:10:51,560 --> 01:10:53,960 Speaker 1: Nobody is saying that you know, they don't deserve to 1320 01:10:54,000 --> 01:10:56,559 Speaker 1: be beaten or or any of that. But you got 1321 01:10:56,560 --> 01:10:59,680 Speaker 1: to be responsible with the aid and the weapons that 1322 01:10:59,720 --> 01:11:02,360 Speaker 1: you were providing to people. And over and over again 1323 01:11:02,400 --> 01:11:04,400 Speaker 1: they have assured us that any questions about a to 1324 01:11:04,560 --> 01:11:08,200 Speaker 1: Ukraine are treasonous. They say that they're unfounded that the 1325 01:11:08,280 --> 01:11:11,519 Speaker 1: Ukrainian military here can be trusted. I mean, I'm sorry, 1326 01:11:11,560 --> 01:11:13,200 Speaker 1: you can't be trusted. These are the type of people 1327 01:11:13,240 --> 01:11:15,519 Speaker 1: that you're willing to put weapons in the hands of. 1328 01:11:15,800 --> 01:11:18,280 Speaker 1: This is crazy, I mean, and as they find out, 1329 01:11:18,479 --> 01:11:21,160 Speaker 1: because they're kicking many of them out for having crazy 1330 01:11:21,200 --> 01:11:25,320 Speaker 1: behavior or for big grifters. Yeah, no, that's exactly right. 1331 01:11:25,400 --> 01:11:27,880 Speaker 1: It's a pretty shocking report. Kudos to the Time for 1332 01:11:28,000 --> 01:11:30,880 Speaker 1: doing a good job on this one. For once, I 1333 01:11:30,960 --> 01:11:33,559 Speaker 1: knew the guy Thomas gibbonson f He's a straight shooter. 1334 01:11:33,720 --> 01:11:36,160 Speaker 1: He's actually was a US Marine himself. He did a 1335 01:11:36,200 --> 01:11:38,439 Speaker 1: lot of great work in Afghanistan. So I'll read anything 1336 01:11:38,479 --> 01:11:44,559 Speaker 1: that guy writes. He's a fantastic reporter. Okay, Christal, what 1337 01:11:44,600 --> 01:11:46,599 Speaker 1: are you taking a look at? Last week I discussed 1338 01:11:46,600 --> 01:11:50,040 Speaker 1: how the environmental goals of the ESG investing criteria have 1339 01:11:50,080 --> 01:11:53,000 Speaker 1: amounted to nothing more than greenwashing. It's an attempt to 1340 01:11:53,040 --> 01:11:57,240 Speaker 1: put an environmentally friendly sheine on standard bottom line capitalism. 1341 01:11:57,600 --> 01:12:00,280 Speaker 1: But a shocking report that came out pretty recently puts 1342 01:12:00,280 --> 01:12:03,840 Speaker 1: a finer point on the extent of this scam. One 1343 01:12:03,880 --> 01:12:06,479 Speaker 1: of the methods that corporations use to signal their green 1344 01:12:06,520 --> 01:12:10,639 Speaker 1: ambitions and meet zero pledges is carbon offsets. Now, the 1345 01:12:10,680 --> 01:12:13,559 Speaker 1: idea here is pretty simple. If a bit morally tortured 1346 01:12:13,840 --> 01:12:16,880 Speaker 1: corporations can figure out how large their carbon footprint is 1347 01:12:16,960 --> 01:12:19,840 Speaker 1: and then by credits that represent an equal amount of 1348 01:12:19,840 --> 01:12:23,160 Speaker 1: carbon taken out of the atmosphere. Now, this is usually 1349 01:12:23,200 --> 01:12:26,759 Speaker 1: done through tree planting or forest preservation. If an airline, 1350 01:12:26,760 --> 01:12:29,920 Speaker 1: for example, is viewing jet fuel producing CO two in 1351 01:12:29,960 --> 01:12:33,040 Speaker 1: the atmosphere, they can clean their conscience, signal their virtue 1352 01:12:33,040 --> 01:12:36,760 Speaker 1: to customers, and make good on governmental emissions regulations, all 1353 01:12:36,840 --> 01:12:39,200 Speaker 1: by paying a company that will certify they have planted 1354 01:12:39,280 --> 01:12:41,559 Speaker 1: enough trees or saved enough trees to make up for 1355 01:12:41,640 --> 01:12:44,760 Speaker 1: that airline CO two emissions. Now, on its face, the 1356 01:12:44,800 --> 01:12:47,880 Speaker 1: concept already sounds kind of sketchy and misleading at best. 1357 01:12:48,200 --> 01:12:52,320 Speaker 1: For example, Shell just delivered a shipment of seventy thousand 1358 01:12:52,400 --> 01:12:56,040 Speaker 1: tons of liquefied natural gas to Taiwan in a deal 1359 01:12:56,120 --> 01:12:59,839 Speaker 1: that they had the gall to celebrate as greenhouse gas neutral. 1360 01:13:00,320 --> 01:13:02,920 Speaker 1: How can they get away with this preposterous claim while 1361 01:13:02,960 --> 01:13:05,040 Speaker 1: they justify it based on the idea that they purchased 1362 01:13:05,160 --> 01:13:07,800 Speaker 1: enough carbon offsets to make up for the one hundred 1363 01:13:07,840 --> 01:13:11,120 Speaker 1: and ninety thousand tons of CO two emissions that this 1364 01:13:11,200 --> 01:13:15,080 Speaker 1: amount of LNG will create. Here's some Shell big oil 1365 01:13:15,080 --> 01:13:18,760 Speaker 1: corporate propaganda that explains the concept nature can be used 1366 01:13:18,760 --> 01:13:21,920 Speaker 1: to compensate for emissions that cannot be avoided. Most cars 1367 01:13:21,960 --> 01:13:25,080 Speaker 1: still rely on traditional fossil fuels, for example gasoline or diesel, 1368 01:13:25,280 --> 01:13:28,040 Speaker 1: and it takes time to replace them. Adoption of electric 1369 01:13:28,080 --> 01:13:29,960 Speaker 1: cars is on the rise, but for many people they 1370 01:13:30,000 --> 01:13:34,040 Speaker 1: are currently too expensive or impractic. Car Still, people and 1371 01:13:34,160 --> 01:13:37,200 Speaker 1: organizations may want to take responsibility for the emissions produced 1372 01:13:37,240 --> 01:13:39,960 Speaker 1: from driving the vehicles by efficient use and with the 1373 01:13:40,000 --> 01:13:43,639 Speaker 1: help of nature. By investing in forestry projects that store 1374 01:13:43,680 --> 01:13:46,519 Speaker 1: and capture CO two carbon credits can be created and 1375 01:13:46,600 --> 01:13:48,600 Speaker 1: used to compensate for the emissions from the use of 1376 01:13:48,640 --> 01:13:51,960 Speaker 1: fossil fuel vehicles. So Shell is arguing, basically, we don't 1377 01:13:51,960 --> 01:13:53,559 Speaker 1: need to change what we're doing at all. We can 1378 01:13:53,640 --> 01:13:56,160 Speaker 1: just invest in a force in Kenya and poof net zero. 1379 01:13:56,360 --> 01:13:58,599 Speaker 1: The idea of a giant shipment of fossil fuels ever 1380 01:13:58,640 --> 01:14:01,400 Speaker 1: being labeled zero emissions as a course insulting on its face, 1381 01:14:01,720 --> 01:14:03,920 Speaker 1: but a recent Bombshell report from the Guardian and a 1382 01:14:03,920 --> 01:14:06,920 Speaker 1: consortion of other journalist shows just how much folly is 1383 01:14:06,960 --> 01:14:10,599 Speaker 1: truly involved here, because apparently the whole carbon offset business 1384 01:14:10,680 --> 01:14:15,120 Speaker 1: is just one gigantic scam at best. At best, these 1385 01:14:15,160 --> 01:14:18,559 Speaker 1: offsets do nothing. At worst, they are actively making warming 1386 01:14:18,720 --> 01:14:21,120 Speaker 1: worse by pulling the wool over the eyes of gullible 1387 01:14:21,160 --> 01:14:25,040 Speaker 1: consumers and complicit governments. Here's the Guardian. The headline sort 1388 01:14:25,080 --> 01:14:28,479 Speaker 1: of says it all. Revealed more than ninety percent of 1389 01:14:28,560 --> 01:14:32,759 Speaker 1: rainforest carbon offsets by biggest certifier are worthless. Analysis shows 1390 01:14:33,080 --> 01:14:37,280 Speaker 1: investigation into VERA carbon standard finds most are phantom credits 1391 01:14:37,320 --> 01:14:40,600 Speaker 1: and may worsen global heating. Now, the article goes on 1392 01:14:40,680 --> 01:14:42,800 Speaker 1: to note that credits from this one company are used 1393 01:14:42,800 --> 01:14:46,960 Speaker 1: by Disney, Shell, Gucci and dozens of other corporations. In fact, 1394 01:14:47,320 --> 01:14:49,760 Speaker 1: VERA is a giant in the space, making up three 1395 01:14:49,880 --> 01:14:53,280 Speaker 1: quarters of total voluntary offsets certified in what is now 1396 01:14:53,320 --> 01:14:56,639 Speaker 1: a two billion dollar market. So this is big business, 1397 01:14:56,720 --> 01:14:59,000 Speaker 1: and it's a terrible situation for those who actually care 1398 01:14:59,000 --> 01:15:01,240 Speaker 1: about dealing with the climate crisis and not just confusing 1399 01:15:01,280 --> 01:15:04,759 Speaker 1: consumers with corporate virtue signaling. In order to analyze Vera's 1400 01:15:04,760 --> 01:15:07,200 Speaker 1: claims here, the Guardian, along with their partners, relied on 1401 01:15:07,280 --> 01:15:10,760 Speaker 1: two different groups of scientists and a team of journalists 1402 01:15:10,760 --> 01:15:14,360 Speaker 1: who further analyze the results those scientists found. They found 1403 01:15:14,360 --> 01:15:17,400 Speaker 1: that in quote thirty two projects where it was possible 1404 01:15:17,439 --> 01:15:20,760 Speaker 1: to compare Vera's claims with the study finding baseline scenarios 1405 01:15:20,800 --> 01:15:23,840 Speaker 1: of force loss appear to be overstated by about four 1406 01:15:24,200 --> 01:15:28,759 Speaker 1: hundred percent. Three projects in Madagascar did achieve excellent results 1407 01:15:28,800 --> 01:15:31,759 Speaker 1: and have a significant impact on the figures. If those 1408 01:15:31,840 --> 01:15:35,599 Speaker 1: projects are not included, the average inflation is about nine 1409 01:15:35,680 --> 01:15:39,759 Speaker 1: hundred and fifty percent. Vera, of course disputes the results 1410 01:15:39,800 --> 01:15:42,519 Speaker 1: and offered a different methodology which they claim showed much 1411 01:15:42,560 --> 01:15:46,080 Speaker 1: more significant carbon benefit. But what the multiple research teams 1412 01:15:46,080 --> 01:15:49,320 Speaker 1: here show is that the amount of force actually saved 1413 01:15:49,320 --> 01:15:53,000 Speaker 1: by Vera's projects is wildly less than what they estimated 1414 01:15:53,000 --> 01:15:56,240 Speaker 1: in planning their projects and selling credits. It makes sense, 1415 01:15:56,280 --> 01:15:59,480 Speaker 1: of course, VERA and other similar companies have an incentive 1416 01:15:59,520 --> 01:16:02,559 Speaker 1: to cut owners and do their projects as cheaply as possible. 1417 01:16:02,720 --> 01:16:05,600 Speaker 1: Companies buying the offsets want the most greenwashing for the 1418 01:16:05,720 --> 01:16:07,680 Speaker 1: cheapest costs, so they certainly don't want to rock the 1419 01:16:07,680 --> 01:16:09,719 Speaker 1: boat here, and we all want to get a product 1420 01:16:09,760 --> 01:16:12,440 Speaker 1: with little label or promotion telling us that our purchases 1421 01:16:12,520 --> 01:16:15,479 Speaker 1: are actually good for the world, not just contributing to 1422 01:16:15,520 --> 01:16:19,000 Speaker 1: a glut of planet killing crap. We feel better checking 1423 01:16:19,040 --> 01:16:21,400 Speaker 1: the little box when buying our airline ticket that claims, 1424 01:16:21,400 --> 01:16:23,719 Speaker 1: for a small price, we can offset the carbon generated 1425 01:16:23,760 --> 01:16:26,960 Speaker 1: by our weekend getaway, and governments which knowe that climate 1426 01:16:27,000 --> 01:16:31,280 Speaker 1: action is popular, are similarly disincentivized from digging too deeply 1427 01:16:31,360 --> 01:16:33,880 Speaker 1: to expose that the whole thing is actually a farce. 1428 01:16:34,120 --> 01:16:37,719 Speaker 1: It is one giant self licking ice cream cone. In fact, 1429 01:16:37,920 --> 01:16:41,280 Speaker 1: in our own country, California has the most significant state 1430 01:16:41,360 --> 01:16:45,720 Speaker 1: administered carbon offset program. Now. The idea is that homeowners 1431 01:16:45,720 --> 01:16:48,720 Speaker 1: and large landowners alike can be issued carbon credits for 1432 01:16:48,720 --> 01:16:52,080 Speaker 1: preserving trees they would have otherwise cut down. Then those 1433 01:16:52,120 --> 01:16:54,879 Speaker 1: credits can be sold to private business as carbon offsets 1434 01:16:54,880 --> 01:16:58,439 Speaker 1: to help meet their state mandated emission reduction goals. But 1435 01:16:59,120 --> 01:17:01,479 Speaker 1: like other carbon office systems, the whole thing is easy 1436 01:17:01,479 --> 01:17:03,200 Speaker 1: to gain by claiming you were going to cut down 1437 01:17:03,240 --> 01:17:05,719 Speaker 1: trees that you actually never really intended to cut down, 1438 01:17:06,000 --> 01:17:09,360 Speaker 1: And sure enough, new satellite data shows that the decade 1439 01:17:09,400 --> 01:17:14,360 Speaker 1: old program has accomplished literally nothing. According to this data, 1440 01:17:14,520 --> 01:17:18,120 Speaker 1: Dimber companies, they're not logging any less, and the offset 1441 01:17:18,160 --> 01:17:21,719 Speaker 1: project forests don't look any different from a carbon perspective 1442 01:17:21,720 --> 01:17:24,599 Speaker 1: than areas that are not part of these offset projects. 1443 01:17:25,000 --> 01:17:27,800 Speaker 1: One way logging companies appear to gain the system is 1444 01:17:27,840 --> 01:17:31,639 Speaker 1: by claiming that forests they own which have effectively worthless trees, 1445 01:17:31,760 --> 01:17:34,720 Speaker 1: are part of the offset program. These trees are not 1446 01:17:34,800 --> 01:17:36,960 Speaker 1: valuable on the market, so the companies were not likely 1447 01:17:37,000 --> 01:17:40,519 Speaker 1: to cut them down anyway. Meanwhile, they continue logging the 1448 01:17:40,560 --> 01:17:43,800 Speaker 1: areas that do have market valuable species. This has the 1449 01:17:43,840 --> 01:17:48,160 Speaker 1: perverse effect of actually subsidizing the operations of logging companies. 1450 01:17:48,200 --> 01:17:50,799 Speaker 1: That's obviously the polar opposite of what a green movement 1451 01:17:50,880 --> 01:17:53,880 Speaker 1: would actually want. As one expert told the New York 1452 01:17:53,920 --> 01:17:57,240 Speaker 1: Times quote, the most basic problem with carbon offsets is 1453 01:17:57,240 --> 01:18:00,320 Speaker 1: that you're trading a known amount of emissions with an 1454 01:18:00,439 --> 01:18:04,040 Speaker 1: uncertain amount of emission reductions. But there's also the whole 1455 01:18:04,040 --> 01:18:06,280 Speaker 1: trading approach of companies being able to buy their way 1456 01:18:06,280 --> 01:18:10,000 Speaker 1: out of their responsibility to reduce their own emissions. This 1457 01:18:10,080 --> 01:18:13,200 Speaker 1: scheme is part of how corporate America seems to confuse 1458 01:18:13,360 --> 01:18:17,720 Speaker 1: and undermine our politics, tricking affluent consumers into thinking their 1459 01:18:17,760 --> 01:18:21,240 Speaker 1: choices are noble and tricking voters into thinking that the 1460 01:18:21,280 --> 01:18:23,960 Speaker 1: masters of the universe are actually good guys driven by 1461 01:18:24,000 --> 01:18:27,360 Speaker 1: real concern for the planet. In such a landscape, forceful 1462 01:18:27,360 --> 01:18:30,519 Speaker 1: government action isn't necessary, of course, it's a clean conscience 1463 01:18:30,560 --> 01:18:33,640 Speaker 1: for sale with zero challenging choices. Who wouldn't want to 1464 01:18:33,640 --> 01:18:36,280 Speaker 1: put the blinders on and pretend that it's all exactly 1465 01:18:36,439 --> 01:18:39,000 Speaker 1: as advertised? And if you want to hear my reaction 1466 01:18:39,160 --> 01:18:42,720 Speaker 1: to Crystal's monologue, become a premium subscriber today at breakingpoints 1467 01:18:42,760 --> 01:18:48,439 Speaker 1: dot com. Super excited to be joined by the creator 1468 01:18:48,560 --> 01:18:51,160 Speaker 1: of a really popular blog called weight but Why, and 1469 01:18:51,200 --> 01:18:53,360 Speaker 1: also the author of a new book that we both 1470 01:18:53,400 --> 01:18:55,280 Speaker 1: just read. Let's put this up on the screen. The 1471 01:18:55,320 --> 01:18:58,559 Speaker 1: book is called What's Our Problem? A self help book 1472 01:18:58,680 --> 01:19:02,439 Speaker 1: for societies. Tim Urban joins us. Now, great to have you, Tim, 1473 01:19:03,200 --> 01:19:06,760 Speaker 1: Thanks for having me on. Yeah, that's right. So you 1474 01:19:06,840 --> 01:19:10,720 Speaker 1: lay out in this book in alternative way of seeing politics, 1475 01:19:10,720 --> 01:19:13,760 Speaker 1: where yes, you have a left right spectrum, but there's 1476 01:19:13,800 --> 01:19:17,599 Speaker 1: another dynamic playing out that you describe as the difference 1477 01:19:17,640 --> 01:19:21,479 Speaker 1: between sort of higher mind approach to politics versus a 1478 01:19:21,520 --> 01:19:28,000 Speaker 1: more primitive mindset. Just explain the general thesis of the book. Yeah, 1479 01:19:28,200 --> 01:19:31,040 Speaker 1: I think, you know, if you think about how how 1480 01:19:31,800 --> 01:19:34,360 Speaker 1: language works, like when we have a term for something 1481 01:19:34,640 --> 01:19:39,400 Speaker 1: or even better like a framework, then we than our thoughts. Uh, 1482 01:19:39,600 --> 01:19:41,080 Speaker 1: you know, we have more thoughts about it. We can 1483 01:19:41,160 --> 01:19:43,360 Speaker 1: we have more conversations about it, we can refer to it, 1484 01:19:43,439 --> 01:19:45,720 Speaker 1: we can develop nuance around it. But if you don't 1485 01:19:45,760 --> 01:19:48,040 Speaker 1: have a term for something, and if you don't have 1486 01:19:48,120 --> 01:19:50,320 Speaker 1: the right framework, then that she limits our thinking. And 1487 01:19:50,360 --> 01:19:52,360 Speaker 1: I think that's a big part of what's been happening 1488 01:19:52,360 --> 01:19:55,600 Speaker 1: with our politics is we have this one dimensional horizontal 1489 01:19:55,640 --> 01:19:58,519 Speaker 1: spectrum left, center, right, you know, far right and far 1490 01:19:58,600 --> 01:20:03,519 Speaker 1: left right, that's it. And and so that's very limiting, 1491 01:20:03,560 --> 01:20:07,120 Speaker 1: and I think it actually leads to people saying stuff 1492 01:20:07,120 --> 01:20:08,960 Speaker 1: they're not really They're trying to say something and they're 1493 01:20:08,960 --> 01:20:11,800 Speaker 1: saying something else. So they'll say something like, you know, 1494 01:20:11,840 --> 01:20:13,880 Speaker 1: we need more people in the center, and maybe they 1495 01:20:13,880 --> 01:20:16,720 Speaker 1: do mean that horizontally, but that's not really what they're 1496 01:20:16,760 --> 01:20:19,200 Speaker 1: talking about. I'm not saying we need more people that 1497 01:20:19,360 --> 01:20:22,240 Speaker 1: are halfway between the right and the left position on 1498 01:20:22,400 --> 01:20:25,200 Speaker 1: tax cuts. That's not what they're saying. What they're trying 1499 01:20:25,240 --> 01:20:26,960 Speaker 1: to say is we need more people who are open 1500 01:20:27,040 --> 01:20:29,439 Speaker 1: to open minded and who are open to you know, 1501 01:20:29,600 --> 01:20:32,280 Speaker 1: who are down to really debate their ideas and who 1502 01:20:32,360 --> 01:20:34,920 Speaker 1: might change their mind about it, and who get into 1503 01:20:34,920 --> 01:20:38,120 Speaker 1: the nuance and who aren't dogmatic, and who don't you know, 1504 01:20:38,600 --> 01:20:43,080 Speaker 1: who don't form their opinions via kind of a checklist. 1505 01:20:44,160 --> 01:20:47,000 Speaker 1: And so that to me, center is not the word. 1506 01:20:47,000 --> 01:20:50,120 Speaker 1: That's just another position on the horizontal axis. It sometimes 1507 01:20:50,160 --> 01:20:53,160 Speaker 1: correlates with what I'm talking about, but it's a different thing. 1508 01:20:53,200 --> 01:20:55,080 Speaker 1: So I said, okay, let's make a second axis. Let's 1509 01:20:55,080 --> 01:20:57,440 Speaker 1: just like make it a square instead of a line, 1510 01:20:57,520 --> 01:21:00,160 Speaker 1: and the vertical dimension I'll call it the latter. And 1511 01:21:00,240 --> 01:21:04,080 Speaker 1: so you have kind of high wrong thinking, high wrong 1512 01:21:04,200 --> 01:21:07,000 Speaker 1: politics and low wrong you know politics, low wrong thinking. 1513 01:21:09,080 --> 01:21:12,280 Speaker 1: And again there's nothing novel here. Everyone knows what I'm 1514 01:21:12,320 --> 01:21:15,280 Speaker 1: talking about. It's just that we don't we we we don't. 1515 01:21:15,280 --> 01:21:18,320 Speaker 1: We don't really like have the frame so so high 1516 01:21:18,320 --> 01:21:20,599 Speaker 1: wrong politics to me, and this again is a this 1517 01:21:20,680 --> 01:21:22,640 Speaker 1: is a subset of kind of the broader concept of 1518 01:21:22,680 --> 01:21:29,439 Speaker 1: high wrong thinking. It's concerned with, uh, you know, moving 1519 01:21:29,439 --> 01:21:31,880 Speaker 1: towards a more perfect union, you know, as Abe lincos 1520 01:21:31,920 --> 01:21:34,559 Speaker 1: in right. It's like it's actually that's really what's going on. 1521 01:21:34,600 --> 01:21:37,559 Speaker 1: They're really you know, and there's heated debates. It's like people, 1522 01:21:37,680 --> 01:21:39,840 Speaker 1: it's not saying that a lot of people mistake you know, 1523 01:21:39,920 --> 01:21:41,800 Speaker 1: what I'm saying hig wrong. It's for stability and for 1524 01:21:41,880 --> 01:21:44,400 Speaker 1: being nice and for being no, no no, no, people get angry. 1525 01:21:44,479 --> 01:21:47,360 Speaker 1: They they're heated. They can hate the other side. They 1526 01:21:47,360 --> 01:21:50,519 Speaker 1: can hate people who disagree with them, but uh, they 1527 01:21:50,560 --> 01:21:53,640 Speaker 1: attack ideas, they don't attack people. They're not tribal about it. 1528 01:21:53,680 --> 01:21:55,880 Speaker 1: They don't think that we are the good, righteous people 1529 01:21:56,280 --> 01:21:58,400 Speaker 1: who agree with each other on everything and you are 1530 01:21:58,479 --> 01:22:00,920 Speaker 1: the bat They they they're all over the place. And 1531 01:22:01,000 --> 01:22:04,559 Speaker 1: any individual you know, if you have individual thinking, you're 1532 01:22:04,600 --> 01:22:07,880 Speaker 1: going to have true and you know a bunch of 1533 01:22:07,880 --> 01:22:10,519 Speaker 1: individuals truly independent thinking, you're gonna they're gonna be all 1534 01:22:10,520 --> 01:22:12,120 Speaker 1: over the place with the reviews, right, and that's what 1535 01:22:12,240 --> 01:22:15,840 Speaker 1: you're right and and they're you know, if they apply 1536 01:22:16,479 --> 01:22:19,360 Speaker 1: you know, a moral judgment, they apply it consistently. So 1537 01:22:19,400 --> 01:22:23,120 Speaker 1: if they think that, you know, drones in Afghanistan are bad, 1538 01:22:24,439 --> 01:22:26,080 Speaker 1: they're not going to change that view. And it's a 1539 01:22:26,080 --> 01:22:28,240 Speaker 1: different president in office, they're not going to change their 1540 01:22:28,240 --> 01:22:31,200 Speaker 1: review on executive overreach or on you know, anything else. 1541 01:22:31,200 --> 01:22:32,960 Speaker 1: When there's a different president in office, right, because it's 1542 01:22:32,960 --> 01:22:35,639 Speaker 1: just that that's not how grown up thinkers do things. Right. 1543 01:22:35,680 --> 01:22:39,519 Speaker 1: It's so it's kind of consistent. It's it's open minded, 1544 01:22:39,560 --> 01:22:43,639 Speaker 1: it's willing to change your mind. There's the core value 1545 01:22:44,040 --> 01:22:47,120 Speaker 1: is truth, you know, trying to actually figure out what's true, 1546 01:22:47,520 --> 01:22:51,760 Speaker 1: and then they try to achieve what they want via persuasion. Right, 1547 01:22:51,760 --> 01:22:54,120 Speaker 1: they will argue and they will try to attack ideas, 1548 01:22:54,760 --> 01:22:57,040 Speaker 1: and you know, you don't attack people if you're trying 1549 01:22:57,040 --> 01:22:58,599 Speaker 1: to persuade them. You attack the ideas and you try 1550 01:22:58,640 --> 01:23:00,960 Speaker 1: to show why it's wrong. And so that's what they 1551 01:23:00,960 --> 01:23:03,280 Speaker 1: call high roaring politics, and it's to me, it's just 1552 01:23:03,360 --> 01:23:05,759 Speaker 1: kind of grown up politics. It's what like any reasonable 1553 01:23:05,880 --> 01:23:07,840 Speaker 1: it's how this it's how reasonable grown ups behave in 1554 01:23:07,920 --> 01:23:11,120 Speaker 1: every other arena. It's just if only they behaved that 1555 01:23:11,160 --> 01:23:13,640 Speaker 1: way in this arena too, Right, So that idea is 1556 01:23:13,680 --> 01:23:17,760 Speaker 1: like nuanced, open to different, open to having their mind change. 1557 01:23:18,200 --> 01:23:20,880 Speaker 1: If they have a principle, they try to apply it consistently, 1558 01:23:21,080 --> 01:23:24,479 Speaker 1: not just be like weirdo partisan cheerleaders. So then what 1559 01:23:24,600 --> 01:23:26,880 Speaker 1: is the what are some of the qualities that are 1560 01:23:26,960 --> 01:23:29,680 Speaker 1: characterized by the lower rung thinking that you lay on 1561 01:23:29,720 --> 01:23:33,519 Speaker 1: in the book yeah. I think I call it political 1562 01:23:33,560 --> 01:23:35,760 Speaker 1: Disney World because like I think of Disney movies. You know, 1563 01:23:35,800 --> 01:23:39,360 Speaker 1: there is villains, there's you know, symbol goods, Scar bad right, 1564 01:23:39,400 --> 01:23:43,679 Speaker 1: Aladdin good to far bad right, and it's it's these 1565 01:23:43,760 --> 01:23:46,519 Speaker 1: you know, it's like this binary code of ones and zeros, right, 1566 01:23:46,520 --> 01:23:50,000 Speaker 1: and there's and and and and and so again. That's 1567 01:23:50,000 --> 01:23:52,559 Speaker 1: great for kids. You don't expect grown ups to be 1568 01:23:52,560 --> 01:23:54,400 Speaker 1: thinking like why why would grown ups be thinking that way? 1569 01:23:54,439 --> 01:23:56,639 Speaker 1: That's not No one in the right mind thinks that's 1570 01:23:56,640 --> 01:23:58,360 Speaker 1: how the real world is where that's how people are. 1571 01:23:58,439 --> 01:24:01,559 Speaker 1: There's not good good people and the bad people with 1572 01:24:01,640 --> 01:24:03,720 Speaker 1: the good ideas and the bad idea. It's just not 1573 01:24:03,920 --> 01:24:10,080 Speaker 1: how anything works, especially a complicated society's incredibly complicated political environment. Right, 1574 01:24:10,080 --> 01:24:13,000 Speaker 1: it's not going to be like that, but politics is 1575 01:24:13,000 --> 01:24:15,760 Speaker 1: one of those topics that drags our mind into this, 1576 01:24:15,880 --> 01:24:18,519 Speaker 1: you know, kind of primitive zone where we were not 1577 01:24:18,560 --> 01:24:22,280 Speaker 1: thinking straight and we we we're not acting like ourselves almost, 1578 01:24:22,320 --> 01:24:23,920 Speaker 1: And so you have all these people that are totally 1579 01:24:24,000 --> 01:24:28,160 Speaker 1: normal and great and in other areas really believe that 1580 01:24:28,240 --> 01:24:31,360 Speaker 1: they are on the good team of righteous heroes fighting 1581 01:24:31,479 --> 01:24:35,160 Speaker 1: for they have all the answers. There's their team is 1582 01:24:35,200 --> 01:24:37,360 Speaker 1: right about everything, and the other team is wrong about everything, 1583 01:24:37,360 --> 01:24:39,479 Speaker 1: and every problem in the society is because the other 1584 01:24:39,560 --> 01:24:43,800 Speaker 1: bad not just wrong but bad evil team is it's 1585 01:24:43,800 --> 01:24:48,519 Speaker 1: their fault. And and they they abide, you know, it's 1586 01:24:48,560 --> 01:24:52,080 Speaker 1: it's it's you. They abide by a checklist. So it's, uh, 1587 01:24:52,360 --> 01:24:55,439 Speaker 1: it's that if that someone who's really mired in political 1588 01:24:55,520 --> 01:24:58,400 Speaker 1: disney world or low wrung politics tells you their position 1589 01:24:58,479 --> 01:25:01,679 Speaker 1: on guns boom, you know their position on climate change, 1590 01:25:01,720 --> 01:25:06,200 Speaker 1: you know their position on on you know whatever, Russia 1591 01:25:06,200 --> 01:25:09,280 Speaker 1: and Ukraine. You know their position on abortion and taxes 1592 01:25:09,680 --> 01:25:12,040 Speaker 1: and social justice and every single other thing right, And 1593 01:25:12,080 --> 01:25:15,360 Speaker 1: so it's, uh, that's not thinking, right, that's that's that's 1594 01:25:15,400 --> 01:25:18,000 Speaker 1: the no. If you have ten independent thinkers, there's no 1595 01:25:18,040 --> 01:25:20,639 Speaker 1: way they're going to happen to agree on ten separate issues. 1596 01:25:21,600 --> 01:25:25,800 Speaker 1: It's only if you have this checklist that is kind 1597 01:25:25,800 --> 01:25:29,439 Speaker 1: of the tribe's approved checklist of ideas, that you're going 1598 01:25:29,520 --> 01:25:32,000 Speaker 1: to have that. And so to me, when I look 1599 01:25:32,000 --> 01:25:34,520 Speaker 1: at the problems, it's like there's two tiers of problems. 1600 01:25:35,040 --> 01:25:37,479 Speaker 1: One you could say there's the horizontal disagreements. Okay, you 1601 01:25:37,479 --> 01:25:38,800 Speaker 1: know what is the left and the right doing what 1602 01:25:38,840 --> 01:25:40,800 Speaker 1: are they doing. Someone you know, someone is more on 1603 01:25:40,840 --> 01:25:44,080 Speaker 1: track with each policy probably than others. What's happening there, 1604 01:25:44,120 --> 01:25:46,719 Speaker 1: But to me, that is dwarfed by the much bigger 1605 01:25:47,520 --> 01:25:51,360 Speaker 1: dispute going on, which is between kind of like sanity 1606 01:25:51,920 --> 01:25:54,880 Speaker 1: and just acting like reasonable grown ups and politics who 1607 01:25:54,920 --> 01:25:57,679 Speaker 1: can actually move things forward and actually make positive change. 1608 01:25:57,720 --> 01:26:01,679 Speaker 1: It's a positive some game and this other game that's 1609 01:26:01,720 --> 01:26:05,600 Speaker 1: going on, this crazy tribal game that that has huge hostility, 1610 01:26:05,600 --> 01:26:07,200 Speaker 1: by the way, not just to each other, but to 1611 01:26:07,200 --> 01:26:10,519 Speaker 1: the high run game that the low rung game hates 1612 01:26:10,560 --> 01:26:12,400 Speaker 1: the high rung game. You know, it gets called you know, 1613 01:26:12,439 --> 01:26:15,719 Speaker 1: they call them all kinds of you know, enlightened centrists, 1614 01:26:15,840 --> 01:26:18,479 Speaker 1: spineless centrists. They say that you're giving you know, the 1615 01:26:18,560 --> 01:26:21,559 Speaker 1: other that you know, dangerous ideas a platform you know, 1616 01:26:21,800 --> 01:26:25,400 Speaker 1: you know, debate. Is this negative thing? Don so So Yeah, 1617 01:26:25,439 --> 01:26:27,479 Speaker 1: So anyway, this is the framework that I basically then 1618 01:26:27,560 --> 01:26:30,479 Speaker 1: built built this book around. Yeah, you are reciting all 1619 01:26:30,520 --> 01:26:33,880 Speaker 1: the criticisms of our show there, Tim, So we're every 1620 01:26:33,920 --> 01:26:37,200 Speaker 1: one of those. Yes. One of the things I actually 1621 01:26:37,280 --> 01:26:40,360 Speaker 1: like about the book and some of the infographics, which 1622 01:26:40,360 --> 01:26:42,240 Speaker 1: are fantastic, by the way, I recommend everybody going to 1623 01:26:42,240 --> 01:26:44,840 Speaker 1: follow Tim on Twitter and read weight at y dot 1624 01:26:44,840 --> 01:26:47,320 Speaker 1: com because the infographics that you put together are really 1625 01:26:47,360 --> 01:26:50,400 Speaker 1: easily digestible and they kind of narrow home this point. 1626 01:26:50,439 --> 01:26:52,479 Speaker 1: One of them being the media. You have the famous 1627 01:26:52,520 --> 01:26:55,760 Speaker 1: dog and the raccoon headlines that you have side by 1628 01:26:55,800 --> 01:26:57,360 Speaker 1: side that I have even pulled up in front of 1629 01:26:57,360 --> 01:26:59,200 Speaker 1: me just because I love it so much. Can you 1630 01:26:59,240 --> 01:27:01,880 Speaker 1: can you lay out them media role in this both 1631 01:27:02,200 --> 01:27:04,120 Speaker 1: not only how they handle it, but then how that 1632 01:27:04,200 --> 01:27:06,920 Speaker 1: is then digested and used, as you said by low 1633 01:27:06,960 --> 01:27:12,040 Speaker 1: wrong thinkers. Yeah, so there's been a seismic shift in 1634 01:27:12,080 --> 01:27:15,680 Speaker 1: our environment. If you take any animal and you you 1635 01:27:15,760 --> 01:27:19,200 Speaker 1: take their nature and you change the environment, you're gonna 1636 01:27:19,200 --> 01:27:21,439 Speaker 1: see different behavior. Right, that's same nature is going to 1637 01:27:21,520 --> 01:27:25,120 Speaker 1: output different people. So humans are no different. Human nature 1638 01:27:25,160 --> 01:27:28,000 Speaker 1: is not different than it was ten twenty one hundred 1639 01:27:28,320 --> 01:27:31,080 Speaker 1: thousand years ago. What changes is the environment and then 1640 01:27:31,080 --> 01:27:34,360 Speaker 1: our behavior changes. And one of the major elements of 1641 01:27:34,400 --> 01:27:40,519 Speaker 1: a modern democracy's environment is their media landscape. And and 1642 01:27:40,640 --> 01:27:43,919 Speaker 1: there's been a seismic shift to that that has obviously 1643 01:27:44,120 --> 01:27:48,280 Speaker 1: massive consequences of all kinds. And the shift is that 1644 01:27:48,360 --> 01:27:53,920 Speaker 1: there used to be three broadcast national news channels, and 1645 01:27:53,920 --> 01:27:56,519 Speaker 1: they weren't news channels, by the way, they were CBS, NBC, ABC, 1646 01:27:56,640 --> 01:27:59,439 Speaker 1: they you know, and they did a lot of stuff 1647 01:27:59,479 --> 01:28:01,960 Speaker 1: and they have Flower of News twice a day or something, right, 1648 01:28:03,120 --> 01:28:07,800 Speaker 1: and and so I mean, it's just it's not that 1649 01:28:07,880 --> 01:28:10,160 Speaker 1: those were better people running those stations. And I don't 1650 01:28:10,160 --> 01:28:12,160 Speaker 1: think they don't really think these there's any any of 1651 01:28:12,200 --> 01:28:14,439 Speaker 1: this story is about better or worse people. It's that 1652 01:28:14,479 --> 01:28:16,599 Speaker 1: they had incentives, right if they if one of them, 1653 01:28:16,640 --> 01:28:19,600 Speaker 1: if NBC starts to get known for being really biased 1654 01:28:19,760 --> 01:28:22,160 Speaker 1: towards the left or right and really kind of like, 1655 01:28:22,680 --> 01:28:24,559 Speaker 1: you know, they'll rush to a story and tell it 1656 01:28:24,600 --> 01:28:27,760 Speaker 1: with no journalistic integrity, and like they'll just like, you know, 1657 01:28:27,760 --> 01:28:30,120 Speaker 1: they're wrong all the time and they don't apologize, and 1658 01:28:30,160 --> 01:28:32,280 Speaker 1: the other two aren't like that that. You know, NBC 1659 01:28:32,400 --> 01:28:34,400 Speaker 1: would become the laughing stock, right, everyone saying, oh, you 1660 01:28:34,439 --> 01:28:36,200 Speaker 1: know the kind of person who watches NBC, you would 1661 01:28:36,200 --> 01:28:37,559 Speaker 1: become a joke. Right, So they don't want to do that. 1662 01:28:37,600 --> 01:28:39,000 Speaker 1: They all want to try to fight with each other. 1663 01:28:39,040 --> 01:28:40,840 Speaker 1: Who could be more professional, right, who can see who 1664 01:28:40,840 --> 01:28:43,160 Speaker 1: can be more accurate and and have and and you 1665 01:28:43,160 --> 01:28:46,519 Speaker 1: can never tell the the political leaning of the anchors. 1666 01:28:46,520 --> 01:28:48,040 Speaker 1: That was a huge thing, right. It was like they 1667 01:28:48,080 --> 01:28:50,479 Speaker 1: were all famously secretive about it because that's not professional 1668 01:28:50,560 --> 01:28:53,360 Speaker 1: for a newsperson. Why would it okay? So that environment 1669 01:28:54,280 --> 01:28:55,920 Speaker 1: and they also had thirty minutes a day, right, so 1670 01:28:55,960 --> 01:28:58,280 Speaker 1: they would I need to that's not much time. You 1671 01:28:58,320 --> 01:29:00,839 Speaker 1: got to really what's really important today in the news. 1672 01:29:02,280 --> 01:29:05,160 Speaker 1: Now that changes. You have cable TV, so then you 1673 01:29:05,200 --> 01:29:07,800 Speaker 1: have at CNN, you have MSNBC, you have Fox News. 1674 01:29:07,840 --> 01:29:09,679 Speaker 1: You have all these just spring up in the eighties 1675 01:29:09,720 --> 01:29:12,639 Speaker 1: and nineties really mid nineties for MSNBC and Fox News 1676 01:29:12,680 --> 01:29:16,040 Speaker 1: pretty recent. And then you have of course the Internet, right, 1677 01:29:16,080 --> 01:29:18,160 Speaker 1: and you have you know, a Drudge Report, and you 1678 01:29:18,160 --> 01:29:19,680 Speaker 1: have Huffington Post, and you have Brightbart and you have 1679 01:29:19,720 --> 01:29:21,799 Speaker 1: all these these things pop up in a million political 1680 01:29:21,880 --> 01:29:27,200 Speaker 1: blogs and it's a totally different game. So you realize 1681 01:29:27,240 --> 01:29:28,560 Speaker 1: is if you're not, if you're not, you don't have 1682 01:29:28,600 --> 01:29:32,040 Speaker 1: the burden of being broadcasting to the whole country, and 1683 01:29:32,080 --> 01:29:35,320 Speaker 1: you can narrow cast. And really, you know, Fox News 1684 01:29:35,400 --> 01:29:37,040 Speaker 1: kind of was a pioneer here and a lot of 1685 01:29:37,040 --> 01:29:39,200 Speaker 1: others copied it. You know, if you can, if you 1686 01:29:39,240 --> 01:29:41,400 Speaker 1: can narrow cast and say, you don't screw the other half, 1687 01:29:41,520 --> 01:29:44,240 Speaker 1: if we can just we don't have to seem objective. 1688 01:29:44,720 --> 01:29:49,320 Speaker 1: Let's just really confirm theless cater to one tribe. There 1689 01:29:49,360 --> 01:29:52,240 Speaker 1: are these tribes, let's just be the news for that tribe. 1690 01:29:52,720 --> 01:29:55,439 Speaker 1: Totally does narrow casting and it's and it's tribal media 1691 01:29:55,520 --> 01:29:57,599 Speaker 1: kind of right, it's it's specifically is trying to say 1692 01:29:57,960 --> 01:30:01,719 Speaker 1: the incentives totally ship. Now your audience becomes very quickly. 1693 01:30:01,800 --> 01:30:04,799 Speaker 1: You know, they're people who want professional neutrality, they're long gone. 1694 01:30:04,880 --> 01:30:09,400 Speaker 1: Your audience becomes these people who are addicted to this game, 1695 01:30:09,520 --> 01:30:11,920 Speaker 1: this tribal war, that that that that they're they're in 1696 01:30:11,960 --> 01:30:15,640 Speaker 1: political Disney world. And so now the incentives become accuracy, 1697 01:30:15,720 --> 01:30:18,519 Speaker 1: not as much like neutrality, definitely not right. The accurate 1698 01:30:18,680 --> 01:30:22,760 Speaker 1: incentives become tell these people why they're right and they're good, 1699 01:30:22,840 --> 01:30:25,360 Speaker 1: and why those other people are so bad? How awful 1700 01:30:25,360 --> 01:30:28,519 Speaker 1: are those other people done? Yeah, so what's that going 1701 01:30:28,560 --> 01:30:30,479 Speaker 1: to do to? You know that? And that? How's that? 1702 01:30:30,560 --> 01:30:32,959 Speaker 1: Of course that's going to have a massive effect on behavior. 1703 01:30:33,160 --> 01:30:35,840 Speaker 1: So what's happening is you go from news that was 1704 01:30:36,240 --> 01:30:40,720 Speaker 1: kind of informing I wrung politics to news that is like, 1705 01:30:41,360 --> 01:30:47,559 Speaker 1: uh like is just stoking low rung politics, that is 1706 01:30:47,600 --> 01:30:51,680 Speaker 1: just completely igniting low rung politics and tim you go 1707 01:30:51,760 --> 01:30:55,880 Speaker 1: through in the book your analysis of the version of 1708 01:30:56,479 --> 01:30:59,360 Speaker 1: low rung politics that happens on the right, but you 1709 01:30:59,400 --> 01:31:02,400 Speaker 1: spend the bulk of the book going over what you 1710 01:31:02,479 --> 01:31:07,360 Speaker 1: describe as social justice fundamentalism. And I'm curious, since you 1711 01:31:08,000 --> 01:31:10,080 Speaker 1: started this book, you know, a number of years ago, 1712 01:31:10,439 --> 01:31:13,360 Speaker 1: if you think the landscape of what you call social 1713 01:31:13,439 --> 01:31:17,000 Speaker 1: justice fundamentalism you might call it woke, is cancel culture 1714 01:31:17,160 --> 01:31:19,240 Speaker 1: like it has a lot of different words to describe, 1715 01:31:19,240 --> 01:31:20,639 Speaker 1: which I think is part of why you spend such 1716 01:31:20,640 --> 01:31:24,439 Speaker 1: a long time teasing out your specific definition here. Do 1717 01:31:24,479 --> 01:31:27,679 Speaker 1: you think that landscape has changed? And do you also 1718 01:31:28,200 --> 01:31:31,559 Speaker 1: see you mentioned this a little bit in the book, 1719 01:31:31,680 --> 01:31:35,360 Speaker 1: but in the reaction to that social justice fundamentalism, I 1720 01:31:35,400 --> 01:31:39,160 Speaker 1: see some of those same authoritarian tactics and low run 1721 01:31:39,240 --> 01:31:42,000 Speaker 1: thinking being deployed in terms of you know, book bands 1722 01:31:42,080 --> 01:31:46,160 Speaker 1: or constraining curriculums and constraining protests, those sorts of things. 1723 01:31:46,160 --> 01:31:48,000 Speaker 1: So I wonder if you feel like the landscape has 1724 01:31:48,000 --> 01:31:53,479 Speaker 1: shifted since you first started writing the book. Yeah, I mean, 1725 01:31:53,680 --> 01:31:58,280 Speaker 1: so I created this term social justice fundamentalism because it's, 1726 01:31:58,320 --> 01:31:59,720 Speaker 1: like I said, you know, the same thing with needing 1727 01:31:59,760 --> 01:32:03,200 Speaker 1: of artical access, like you need more labels because right 1728 01:32:03,200 --> 01:32:05,599 Speaker 1: now it's either you like social justice or you don't. 1729 01:32:05,640 --> 01:32:08,559 Speaker 1: And it's like, well, you know, Martin Luther King was 1730 01:32:08,800 --> 01:32:11,599 Speaker 1: classic social justice activists, right, I don't know how many 1731 01:32:11,640 --> 01:32:14,080 Speaker 1: many people who think he was bad or don't like him. Right. So, 1732 01:32:14,840 --> 01:32:19,040 Speaker 1: like women's suffrage and emancipation, and the gay rights movement 1733 01:32:19,080 --> 01:32:20,760 Speaker 1: and civil rights movement, these are all like what I 1734 01:32:20,760 --> 01:32:24,400 Speaker 1: would call liberal social justice and liberal meaning like lowercase L. 1735 01:32:24,479 --> 01:32:28,519 Speaker 1: Like they are trying to make the country more liberal. Right, 1736 01:32:28,520 --> 01:32:31,479 Speaker 1: they say that the liberal promises in the Constitution are great, 1737 01:32:31,560 --> 01:32:34,920 Speaker 1: and we're not doing so great at them. Let's do better, Right, 1738 01:32:35,000 --> 01:32:37,160 Speaker 1: Let's break the laws that are illiberal to show how 1739 01:32:37,160 --> 01:32:39,160 Speaker 1: illiberal they are so we can make things more liberal. 1740 01:32:39,280 --> 01:32:42,080 Speaker 1: Let's use liberal tools like free speech and voting and 1741 01:32:42,240 --> 01:32:46,519 Speaker 1: protest and three assembly, you know, use the liberal tools 1742 01:32:46,560 --> 01:32:49,600 Speaker 1: to make this country better. Social justice fundamentalism to me 1743 01:32:49,760 --> 01:32:52,679 Speaker 1: is the polar opposite. It's not like it's all those 1744 01:32:52,720 --> 01:32:55,599 Speaker 1: are the really far left, you know, extra social justice people. No, no, 1745 01:32:55,600 --> 01:33:00,400 Speaker 1: those are. It's the exact opposite philosophy, which is that 1746 01:33:00,479 --> 01:33:02,559 Speaker 1: it's not that liberalism is as good, but we need 1747 01:33:02,600 --> 01:33:04,440 Speaker 1: to do we need more of it. It's that liberalism 1748 01:33:04,600 --> 01:33:07,240 Speaker 1: is the problem. It's it's it stems from you know, 1749 01:33:07,360 --> 01:33:12,120 Speaker 1: stems from Marxism and you know neo Marxist ideologies. Uh. 1750 01:33:12,360 --> 01:33:16,640 Speaker 1: And the idea there is that that liberalism is inherently 1751 01:33:16,720 --> 01:33:22,080 Speaker 1: oppressive and that you need something much more revolutionary than 1752 01:33:22,200 --> 01:33:25,240 Speaker 1: using free speech to fix bad policies or fix bad laws. 1753 01:33:25,280 --> 01:33:28,160 Speaker 1: You need to overthrow the order. And you know, as 1754 01:33:28,200 --> 01:33:30,880 Speaker 1: Audre Lord says, you can't use the master's tools to 1755 01:33:30,880 --> 01:33:33,120 Speaker 1: fix the master's house. So free speech is not going 1756 01:33:33,160 --> 01:33:34,720 Speaker 1: to be your friend. That's part of that's what they 1757 01:33:34,720 --> 01:33:37,200 Speaker 1: want you to do. Free speech has to be shut down, right. 1758 01:33:37,439 --> 01:33:40,840 Speaker 1: Liberalist's part of liberalism. So the whole, the Master's house 1759 01:33:40,880 --> 01:33:43,120 Speaker 1: and all the tools in it are need to be overthrown. 1760 01:33:44,120 --> 01:33:46,040 Speaker 1: And then, you know, and then and then so you 1761 01:33:46,080 --> 01:33:49,519 Speaker 1: see that authoritarianism, which is illiberal, right, coming through in 1762 01:33:49,600 --> 01:33:52,559 Speaker 1: the tactics. Instead of persuasion, it's will get you said. 1763 01:33:52,560 --> 01:33:54,080 Speaker 1: You know, if someone says something you don't like, and 1764 01:33:54,120 --> 01:33:56,639 Speaker 1: you're a liberal social justice activist, you'll say, Okay, here's 1765 01:33:56,640 --> 01:33:58,920 Speaker 1: why that's wrong. I'm gonna show everyone. I'm gonna I'm 1766 01:33:58,920 --> 01:34:01,679 Speaker 1: gonna use use free speech to show why that's wrong. 1767 01:34:01,880 --> 01:34:04,000 Speaker 1: But the social justice fundamentalists would say, is we need 1768 01:34:04,000 --> 01:34:05,680 Speaker 1: to cancel that person who to punish them so that 1769 01:34:05,720 --> 01:34:08,280 Speaker 1: no one else argues that again, which is again that's 1770 01:34:08,680 --> 01:34:10,960 Speaker 1: if you think liberalism is bad, this is this is 1771 01:34:11,000 --> 01:34:15,160 Speaker 1: how you behave So anyway, the landscape, I've noticed huge 1772 01:34:15,200 --> 01:34:18,280 Speaker 1: changes since I started, which is at the beginning, I 1773 01:34:18,320 --> 01:34:22,479 Speaker 1: think people didn't even see any difference here. They I 1774 01:34:22,520 --> 01:34:24,479 Speaker 1: think a lot of people on the left thought that, 1775 01:34:24,520 --> 01:34:26,599 Speaker 1: you know, what we today call awokeness, it wasn't called 1776 01:34:26,600 --> 01:34:28,920 Speaker 1: that back then, is purely good? Is this is our 1777 01:34:28,920 --> 01:34:31,240 Speaker 1: today's version of the civil rights movement. And then I 1778 01:34:31,240 --> 01:34:33,040 Speaker 1: think a lot of people start to say, something's up here, 1779 01:34:33,080 --> 01:34:36,280 Speaker 1: something's wrong right, this is not these people are are 1780 01:34:36,600 --> 01:34:40,759 Speaker 1: not doing it right anymore or something, And they started 1781 01:34:40,760 --> 01:34:46,839 Speaker 1: to maybe have those conversations in private, and I think 1782 01:34:47,280 --> 01:34:50,479 Speaker 1: that we are just starting, and I'm not sure even 1783 01:34:50,520 --> 01:34:52,160 Speaker 1: there yet, getting to a place where and I think 1784 01:34:52,439 --> 01:34:54,599 Speaker 1: some people are starting to feel okay, maybe saying this 1785 01:34:54,640 --> 01:34:58,040 Speaker 1: more publicly, maybe actually changing the policy at their company 1786 01:34:58,120 --> 01:35:02,600 Speaker 1: that is that has been created by social justice fundamentalism. 1787 01:35:05,160 --> 01:35:07,200 Speaker 1: But then you see you mentioned the right, and so yeah, 1788 01:35:07,240 --> 01:35:10,479 Speaker 1: I think what I see it as is I don't 1789 01:35:10,520 --> 01:35:13,840 Speaker 1: see the problem as social justice fundamentalism, and I don't 1790 01:35:13,880 --> 01:35:15,840 Speaker 1: see the problem as Trump. You know, I think Trump 1791 01:35:15,880 --> 01:35:18,559 Speaker 1: is a demogogue, right. I think he is a classic 1792 01:35:18,640 --> 01:35:21,280 Speaker 1: kind of there's always demagogue people who want to be 1793 01:35:21,360 --> 01:35:27,000 Speaker 1: president and kind of use use lies and and basically 1794 01:35:27,000 --> 01:35:29,360 Speaker 1: play on people's worst instincts and and you know, kind 1795 01:35:29,360 --> 01:35:31,800 Speaker 1: of the dictator mentality. There's always those people. But why 1796 01:35:31,840 --> 01:35:34,280 Speaker 1: is Trump rising up now? Right? And why is social 1797 01:35:34,320 --> 01:35:36,640 Speaker 1: justice fund that? There's always ideologies that are illiberal that 1798 01:35:36,720 --> 01:35:39,360 Speaker 1: want to shut down liberalism, but they can't usually, So 1799 01:35:39,400 --> 01:35:42,320 Speaker 1: what's going on? And so I see a bigger trend 1800 01:35:42,400 --> 01:35:44,280 Speaker 1: going on, kind of this downward spiral of the country 1801 01:35:44,320 --> 01:35:45,760 Speaker 1: has been in and I think the media is part 1802 01:35:45,800 --> 01:35:47,200 Speaker 1: of it. I think there's a lot of things that 1803 01:35:47,240 --> 01:35:50,080 Speaker 1: go into it, you know. It just we've become more 1804 01:35:50,640 --> 01:35:52,360 Speaker 1: we've lost kind of the foreign threat in a lot 1805 01:35:52,400 --> 01:35:55,200 Speaker 1: of ways, so there's not that uniting force up there 1806 01:35:55,280 --> 01:35:58,160 Speaker 1: kind of on the patriotic level. And also the parties 1807 01:35:58,200 --> 01:36:01,280 Speaker 1: have aligned so that there's not progresses and conservatives within 1808 01:36:01,320 --> 01:36:03,120 Speaker 1: each part like there used to be. So there's a 1809 01:36:03,160 --> 01:36:05,320 Speaker 1: lot of so now you just have this one concentrated 1810 01:36:05,320 --> 01:36:08,080 Speaker 1: tribal divide, right, there's nothing that's diffusing it above or below. 1811 01:36:08,439 --> 01:36:09,800 Speaker 1: There's a lot of things you can point to, but 1812 01:36:09,840 --> 01:36:11,600 Speaker 1: I think that, yeah, when I'm not surprised when I 1813 01:36:11,600 --> 01:36:14,000 Speaker 1: see then the right maybe acting more authoritarian or maybe 1814 01:36:14,040 --> 01:36:18,439 Speaker 1: doing overreach of their own because to me, it's like, yeah, 1815 01:36:18,439 --> 01:36:20,240 Speaker 1: this is a whirlpool. We're all caught it and the 1816 01:36:20,240 --> 01:36:22,439 Speaker 1: whole thing is caught in it right now, and so 1817 01:36:22,880 --> 01:36:25,599 Speaker 1: you're not socially you may maybe you'll get maybe wokeness 1818 01:36:25,600 --> 01:36:27,559 Speaker 1: goes on the decline, we say you have you passed 1819 01:36:27,600 --> 01:36:30,240 Speaker 1: peak woke Maybe we have. Maybe it goes something else. 1820 01:36:30,280 --> 01:36:32,240 Speaker 1: Another movement is going to crop up and it's going 1821 01:36:32,320 --> 01:36:35,680 Speaker 1: to be it's going to be bad. And then another demagogue, 1822 01:36:35,680 --> 01:36:37,439 Speaker 1: maybe it's on the left this time. Who knows, another 1823 01:36:37,479 --> 01:36:39,759 Speaker 1: demogogue is going to is going to rise to power. 1824 01:36:39,800 --> 01:36:42,640 Speaker 1: So until we fix this bigger problem and understand what 1825 01:36:42,720 --> 01:36:47,240 Speaker 1: it is, this is not the last of it. Yeah really, 1826 01:36:47,280 --> 01:36:49,720 Speaker 1: well said well tam Oh, go ahead. I was just 1827 01:36:49,720 --> 01:36:51,760 Speaker 1: going to say the book is great. I think people 1828 01:36:51,760 --> 01:36:53,640 Speaker 1: should you know, read it. There were pieces of it 1829 01:36:53,680 --> 01:36:55,320 Speaker 1: I really agreed with. There are pieces of it I 1830 01:36:55,320 --> 01:36:57,320 Speaker 1: disagreed with, but all of it I think made me 1831 01:36:57,560 --> 01:37:01,240 Speaker 1: a sharper thinker on these issues. So I really appreciate 1832 01:37:01,280 --> 01:37:03,120 Speaker 1: your time, Tim, and I hope people will check out 1833 01:37:03,160 --> 01:37:09,519 Speaker 1: the book. Thank you Tim. Guys, Yeah, our pleasure man. 1834 01:37:09,600 --> 01:37:12,120 Speaker 1: Fantastic interview. Thank you guys so much for watching. We 1835 01:37:12,200 --> 01:37:15,040 Speaker 1: really appreciate it. Reminder, we got the premium show for 1836 01:37:15,120 --> 01:37:18,639 Speaker 1: everybody on Spotify. You can sign up at Breakingpoints dot com. 1837 01:37:18,880 --> 01:37:21,200 Speaker 1: I will be back in the studio, our beautiful, beautiful 1838 01:37:21,200 --> 01:37:23,800 Speaker 1: studio which we are working on as well, tomorrow, so 1839 01:37:23,840 --> 01:37:26,000 Speaker 1: I'm excited to do that, and it's a fun promotion 1840 01:37:26,080 --> 01:37:28,240 Speaker 1: to hear at Breaking Points. But we'll see everybody tomorrow. 1841 01:37:28,400 --> 01:37:29,200 Speaker 1: See you all tomorrow.