1 00:00:00,720 --> 00:00:03,640 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 --> 00:00:17,279 Speaker 1: coverage that is possible. If you like what we're all about, 7 00:00:17,360 --> 00:00:19,440 Speaker 1: it means the absolute world to have your support. What 8 00:00:19,480 --> 00:00:21,920 Speaker 1: are you waiting for? Become a premium subscriber today at 9 00:00:21,920 --> 00:00:26,079 Speaker 1: Breakingpoints dot com. Welcome to Counterpoints Friday. It's been sort 10 00:00:26,079 --> 00:00:28,840 Speaker 1: of an earthquake of a day, of a twenty four 11 00:00:28,880 --> 00:00:31,520 Speaker 1: hour period in Washington, d C. There's so much to 12 00:00:31,520 --> 00:00:34,600 Speaker 1: get to. House Republicans are announcing first what they'll be 13 00:00:34,600 --> 00:00:36,760 Speaker 1: doing in a new Congress, now that they have officially 14 00:00:36,800 --> 00:00:39,200 Speaker 1: won back the House of Representatives with a slim margin. 15 00:00:39,520 --> 00:00:42,720 Speaker 1: Nancy Pelosi announced her retirement. We have so much to 16 00:00:42,800 --> 00:00:45,560 Speaker 1: get to, Ryan, you were writing your book this week. 17 00:00:46,080 --> 00:00:48,960 Speaker 1: I was. I also took a break to write a 18 00:00:49,000 --> 00:00:52,680 Speaker 1: little bit for the Intercept as well. But yes, so 19 00:00:53,440 --> 00:00:56,280 Speaker 1: you'll have to catch me up a little bit. I 20 00:00:56,280 --> 00:00:58,680 Speaker 1: don't want to spoil anything. Don't spoil it. I heard 21 00:00:58,760 --> 00:01:01,320 Speaker 1: Nancy Pelosi did something. We're just gonna do this, and 22 00:01:01,320 --> 00:01:03,200 Speaker 1: you're gonna learn about the news of the week as 23 00:01:03,320 --> 00:01:06,560 Speaker 1: because it was holed up in a cabin. Basically, Unfortunately, 24 00:01:06,560 --> 00:01:10,240 Speaker 1: the cabin had internet access, so I followed everything really close. 25 00:01:10,440 --> 00:01:12,880 Speaker 1: I pictured you with a quill, I wish, just a 26 00:01:13,000 --> 00:01:16,039 Speaker 1: quill dipping in an ink on parchment. Actually it just 27 00:01:16,120 --> 00:01:19,400 Speaker 1: hide animal hide that you had killed the animals and 28 00:01:19,680 --> 00:01:22,319 Speaker 1: needed their hides. What there was a woodstove, so that 29 00:01:22,440 --> 00:01:25,520 Speaker 1: was fun. That's pretty close. Well, let's start then with 30 00:01:25,880 --> 00:01:29,200 Speaker 1: House Republicans. Yeah, we got James Comber here, We've got calmer, 31 00:01:29,319 --> 00:01:32,360 Speaker 1: So let's play a one and then we're gonna break 32 00:01:32,400 --> 00:01:34,240 Speaker 1: down a little bit of what he said. We were 33 00:01:34,280 --> 00:01:36,480 Speaker 1: releasing a report today that details what we have uncovered. 34 00:01:36,640 --> 00:01:38,600 Speaker 1: We're also sending letters to the Bid administration officials and 35 00:01:38,600 --> 00:01:41,200 Speaker 1: Biden family associates renewing our request for voluntary production of 36 00:01:41,240 --> 00:01:45,319 Speaker 1: documents relevant to this investigation. This is an investigation of 37 00:01:45,400 --> 00:01:47,520 Speaker 1: Joe Biden, the President of the United States, and why 38 00:01:47,520 --> 00:01:49,240 Speaker 1: he lied to the American people about his knowledge and 39 00:01:49,280 --> 00:01:53,600 Speaker 1: participation in his family's international business schemes. National security interests 40 00:01:53,600 --> 00:01:56,760 Speaker 1: require the Committee conduct investigation, and we will pursue all avenues, 41 00:01:56,960 --> 00:02:00,280 Speaker 1: avenues that have long been ignored. Committee Republicans have covered 42 00:02:00,280 --> 00:02:02,720 Speaker 1: evidence of federal crimes committed by and to the benefit 43 00:02:02,800 --> 00:02:06,200 Speaker 1: of members of the president's family. These include conspiracy or 44 00:02:06,200 --> 00:02:11,359 Speaker 1: defrauding the United States, wirefraud, conspiracy to commit wirefraud, violation 45 00:02:11,720 --> 00:02:14,800 Speaker 1: of the Foreign Agents Registration Act, violations of the Foreign 46 00:02:14,800 --> 00:02:18,480 Speaker 1: Corrupt Practices Act, violations of the Trafficking Victims Protection Act, 47 00:02:18,960 --> 00:02:22,880 Speaker 1: tax EVAs, money laundering, and conspiracy to commit money laundering. 48 00:02:23,080 --> 00:02:26,400 Speaker 1: All right, So when you have a narrowly divided Congress, 49 00:02:26,400 --> 00:02:28,600 Speaker 1: one of the major things that you can do, especially 50 00:02:28,639 --> 00:02:31,320 Speaker 1: in a climate like this where bipartisanship is fairly hopeless, 51 00:02:31,320 --> 00:02:34,120 Speaker 1: by partisan legislation, at least one big ticket items is 52 00:02:34,120 --> 00:02:37,359 Speaker 1: fairly hopeless, is oversight. And Republicans always knew that would 53 00:02:37,400 --> 00:02:39,600 Speaker 1: be the case. So they've basically been preparing an oversight 54 00:02:39,639 --> 00:02:42,280 Speaker 1: agenda for the last year. And one of the big 55 00:02:42,280 --> 00:02:45,600 Speaker 1: ticket oversight items they're planning to do is look into 56 00:02:46,000 --> 00:02:47,919 Speaker 1: what a lot of people think of as a Hunter 57 00:02:47,960 --> 00:02:52,720 Speaker 1: Biden scandal. But I think Comer in that clip was interesting. 58 00:02:52,840 --> 00:02:56,919 Speaker 1: He twice said, this is not about Hunter Biden, this 59 00:02:57,080 --> 00:03:00,480 Speaker 1: is about Joe Biden. That I think is very smart, 60 00:03:00,520 --> 00:03:03,440 Speaker 1: because there's plenty of evidence that Joe Biden is implicated 61 00:03:03,440 --> 00:03:06,440 Speaker 1: in this, and to the extent that they are going 62 00:03:06,480 --> 00:03:08,920 Speaker 1: to spend time, I know a lot of people are 63 00:03:09,000 --> 00:03:12,120 Speaker 1: questioning that decision, to say, are you really doing much 64 00:03:12,120 --> 00:03:15,799 Speaker 1: for the country investigating Hunter Biden? Well, the President of 65 00:03:15,800 --> 00:03:17,720 Speaker 1: the United States, I think is implicated in some very 66 00:03:17,760 --> 00:03:21,480 Speaker 1: serious stuff here. And so long as House Republicans emphasize 67 00:03:21,520 --> 00:03:23,560 Speaker 1: that if the media won't tell the public that this 68 00:03:23,639 --> 00:03:26,760 Speaker 1: is really a Joe Biden scandal, they should emphasize that 69 00:03:27,680 --> 00:03:30,679 Speaker 1: on its merits that I was going to call it 70 00:03:30,680 --> 00:03:31,959 Speaker 1: the Hunter Biden scandal, they want to call it the 71 00:03:32,000 --> 00:03:35,880 Speaker 1: Joe Biden scandal. The Hunter Biden scandal is worth investigating. 72 00:03:36,920 --> 00:03:41,360 Speaker 1: It is a case of a family member trading on 73 00:03:41,440 --> 00:03:45,320 Speaker 1: his name, trading on his access to power to enrich himself. 74 00:03:45,640 --> 00:03:49,280 Speaker 1: And there are always questions to be asked when something 75 00:03:49,320 --> 00:03:52,000 Speaker 1: like that happens. Who did you sell to? What did 76 00:03:52,000 --> 00:03:54,400 Speaker 1: the person want? Did they get it? Was it illegal? 77 00:03:54,520 --> 00:03:57,520 Speaker 1: Did it undermine us national security? These are all important 78 00:03:57,880 --> 00:04:00,560 Speaker 1: and interesting questions. What might they still be getting? What? 79 00:04:00,560 --> 00:04:04,400 Speaker 1: What now? If if they're still getting something now now 80 00:04:04,440 --> 00:04:06,360 Speaker 1: you're all of a sudden in the realm of relevance 81 00:04:07,040 --> 00:04:11,400 Speaker 1: the put From a political perspective, I think this is 82 00:04:12,160 --> 00:04:15,800 Speaker 1: pitching you know, squarely to the Republican base. And so 83 00:04:15,920 --> 00:04:18,640 Speaker 1: for them to come out with their with their first one, 84 00:04:18,760 --> 00:04:22,200 Speaker 1: like there are an enormous number of investigations they could 85 00:04:22,200 --> 00:04:25,599 Speaker 1: have done, uh something around the pandemic. They will be 86 00:04:25,640 --> 00:04:28,240 Speaker 1: something around, right, But the one that they put in 87 00:04:28,279 --> 00:04:31,240 Speaker 1: the pole position is a signal of the one that 88 00:04:31,279 --> 00:04:33,680 Speaker 1: they see as you know, the one that they're going 89 00:04:33,760 --> 00:04:36,120 Speaker 1: to put the most energy behind. That is there, that 90 00:04:36,200 --> 00:04:38,640 Speaker 1: is their top priority. Maybe there could have been something 91 00:04:38,640 --> 00:04:43,160 Speaker 1: about the Biden White House's role in juicing UH inflation, 92 00:04:43,279 --> 00:04:47,200 Speaker 1: maybe something about uh their energy policy, like you know 93 00:04:47,240 --> 00:04:50,039 Speaker 1: they've been they were hammering on energy policy exactly. The 94 00:04:50,080 --> 00:04:52,680 Speaker 1: reserve is all empty. Why did Biden do this for 95 00:04:53,000 --> 00:04:55,200 Speaker 1: pro purely for political gain? Can they get emails that 96 00:04:55,279 --> 00:04:59,279 Speaker 1: prove you know, that that emptied the strategic Petroleum Reserve 97 00:04:59,640 --> 00:05:01,640 Speaker 1: just to like get a better result out of the 98 00:05:01,680 --> 00:05:03,560 Speaker 1: mid terms, Like there would be lots of these kind 99 00:05:03,600 --> 00:05:05,920 Speaker 1: of broad based things that where they could they could 100 00:05:05,920 --> 00:05:09,719 Speaker 1: try to back up the campaign themes that they ran 101 00:05:09,760 --> 00:05:13,000 Speaker 1: on and try to hit people in the middle. This 102 00:05:13,200 --> 00:05:17,599 Speaker 1: is more for the conservative audience. Now. I say that 103 00:05:17,600 --> 00:05:19,880 Speaker 1: as somebody who actually believes that there is merit in 104 00:05:19,920 --> 00:05:23,080 Speaker 1: this stuff, but just politically speaking, it's in this cul 105 00:05:23,120 --> 00:05:25,600 Speaker 1: de sac right now. Yeah, And it's funny because that's 106 00:05:25,640 --> 00:05:28,000 Speaker 1: the I wish we could both sit here and say 107 00:05:28,440 --> 00:05:31,760 Speaker 1: the primary audience for this is the American people, because 108 00:05:31,839 --> 00:05:35,040 Speaker 1: it is relevant and germane to our politics that the 109 00:05:35,040 --> 00:05:36,919 Speaker 1: president of the United States is. And just to be 110 00:05:37,000 --> 00:05:39,400 Speaker 1: clear about the implications, I know that a lot of 111 00:05:39,440 --> 00:05:41,520 Speaker 1: the people on the left their eyes roll back into 112 00:05:41,800 --> 00:05:43,040 Speaker 1: the back of their heads when they hear the name 113 00:05:43,080 --> 00:05:46,400 Speaker 1: Tony Bobolinski. Tony Bobolinski has plenty of knowledge of Hunter 114 00:05:46,440 --> 00:05:52,239 Speaker 1: Biden's business polish prejudice, yes, exactly, his plenty of knowledge 115 00:05:52,279 --> 00:05:54,880 Speaker 1: of Hunter Biden's business dealings because he was involved in them. 116 00:05:55,120 --> 00:05:57,080 Speaker 1: Didn't really have any incentive to speak out on this, 117 00:05:57,200 --> 00:05:59,040 Speaker 1: and says the ten percent from the big Guy that 118 00:05:59,120 --> 00:06:02,120 Speaker 1: came from the laptop from that email was referring to 119 00:06:02,200 --> 00:06:04,120 Speaker 1: Joe Biden. But that's not all the evidence we have 120 00:06:04,279 --> 00:06:08,640 Speaker 1: suggesting that Joe Biden was benefiting from Hunter Biden's relationship 121 00:06:08,680 --> 00:06:12,360 Speaker 1: with CEFC, among other clients of Hunter Biden. But CEFC 122 00:06:12,480 --> 00:06:16,040 Speaker 1: is a Chinese energy conglomerate. He was doing business with them, 123 00:06:16,400 --> 00:06:20,760 Speaker 1: presumably well Joe Biden was vice president. He took the 124 00:06:21,080 --> 00:06:24,479 Speaker 1: Air Force two to Beijing with Joe Biden while he 125 00:06:24,560 --> 00:06:26,640 Speaker 1: was vice president. We know he was trading on the name. 126 00:06:26,680 --> 00:06:28,479 Speaker 1: That much is clear. We know that he was inviting 127 00:06:28,480 --> 00:06:30,719 Speaker 1: plenty of people to meet with Joe Biden while he 128 00:06:30,800 --> 00:06:34,480 Speaker 1: was vice president, whether they were Mexican lobbyists, not lobbyists, 129 00:06:34,600 --> 00:06:37,920 Speaker 1: they're Mexican clients, whether they were Ukrainian clients, whether they 130 00:06:37,920 --> 00:06:40,320 Speaker 1: were Chinese clients. We know that this was intentional on 131 00:06:40,400 --> 00:06:42,560 Speaker 1: Hunter Biden's behalf, and we know that Joe Biden lied 132 00:06:42,560 --> 00:06:45,680 Speaker 1: about having no knowledge of any of this. So all 133 00:06:45,720 --> 00:06:47,920 Speaker 1: of that is to say, do I know whether Joe 134 00:06:47,920 --> 00:06:53,040 Speaker 1: Biden is currently compromised by China? No? Do I have 135 00:06:53,240 --> 00:06:55,880 Speaker 1: a lot of evidence in his China policy suggesting that 136 00:06:55,920 --> 00:07:00,400 Speaker 1: he's personally getting any kickbacks or is too cozy with China. 137 00:07:00,839 --> 00:07:02,400 Speaker 1: I don't know. I don't know that that's what they're 138 00:07:02,400 --> 00:07:04,320 Speaker 1: going to find. What I think will be more interesting 139 00:07:04,440 --> 00:07:08,760 Speaker 1: is whether Joe Biden was intentionally getting his bills paid 140 00:07:09,080 --> 00:07:12,680 Speaker 1: by Hunter Biden's insane lobbying fees while he was vice 141 00:07:12,680 --> 00:07:15,160 Speaker 1: president and after the time he was vice president. That's 142 00:07:15,160 --> 00:07:17,080 Speaker 1: what I think is on the table, which comes from 143 00:07:17,080 --> 00:07:20,120 Speaker 1: that text message that he sent to was Ashley, his sister, 144 00:07:20,560 --> 00:07:23,800 Speaker 1: who said something like, well, you know, at least I 145 00:07:23,800 --> 00:07:27,000 Speaker 1: won't take half like my dad did, or something like that, 146 00:07:27,120 --> 00:07:31,040 Speaker 1: or maybe anyway to his daughter, you know, to his daughter. 147 00:07:31,440 --> 00:07:33,920 Speaker 1: So you know what would be an amazing move that 148 00:07:33,960 --> 00:07:36,600 Speaker 1: would force the media to cover this. And here I'm 149 00:07:36,600 --> 00:07:39,760 Speaker 1: giving more free consulting to the Republican Party. You do 150 00:07:39,800 --> 00:07:42,880 Speaker 1: that pen and paper ale because this is good stuff. 151 00:07:42,600 --> 00:07:45,360 Speaker 1: If they go up tomorrow and they're like, you know what, 152 00:07:46,000 --> 00:07:49,520 Speaker 1: this is a matter of principle to us. And that's 153 00:07:49,520 --> 00:07:51,960 Speaker 1: why we're going to explore the role of Jared Kushner 154 00:07:52,560 --> 00:07:56,000 Speaker 1: in the Trump administration. How did Jared Kushner get a 155 00:07:56,040 --> 00:08:00,000 Speaker 1: two billion dollar payout within weeks? How did Steve minutch 156 00:08:00,000 --> 00:08:03,200 Speaker 1: You didn't get hundreds of millions of dollars within weeks 157 00:08:03,200 --> 00:08:05,920 Speaker 1: of but forget Steve Minuchen, that's small potatoes. How did 158 00:08:05,960 --> 00:08:09,920 Speaker 1: Jared Kushner get two billion dollars from Mohammed ben Salmon When, 159 00:08:09,960 --> 00:08:13,640 Speaker 1: as as Ken Klippenstein reported over the Intercept, everybody who 160 00:08:13,720 --> 00:08:17,440 Speaker 1: looked at his investment proposal was shocked at how shoddy 161 00:08:17,480 --> 00:08:20,680 Speaker 1: it was. It's like, there's nothing here, But there didn't 162 00:08:20,760 --> 00:08:23,640 Speaker 1: have to be anything there because what was there was 163 00:08:23,640 --> 00:08:25,880 Speaker 1: what he had already delivered in what he was going 164 00:08:25,920 --> 00:08:30,600 Speaker 1: to deliver in the future. Even Saudi Arabia's investment advisors, 165 00:08:30,600 --> 00:08:32,280 Speaker 1: not just the ones in Wall Street that laughed out 166 00:08:32,320 --> 00:08:36,280 Speaker 1: in Saudi Arabian Investment Authority advisors were like, this is crazy, 167 00:08:36,600 --> 00:08:38,440 Speaker 1: this is not this is not a good investment. They 168 00:08:38,480 --> 00:08:42,440 Speaker 1: got two billion dollars anyway, why what happened? Like what 169 00:08:43,120 --> 00:08:46,439 Speaker 1: just let's hold some hearings, Let's let's call some witnesses. 170 00:08:46,720 --> 00:08:49,959 Speaker 1: And if you do that, first of all, the media 171 00:08:50,040 --> 00:08:53,040 Speaker 1: would love that, But second all that then forces them 172 00:08:53,080 --> 00:08:55,360 Speaker 1: to cover the other one because now you look like 173 00:08:55,400 --> 00:08:59,000 Speaker 1: you actually are principled. But if you are only talking 174 00:08:59,000 --> 00:09:03,440 Speaker 1: about Hunter Biden, when for four years you had the 175 00:09:03,480 --> 00:09:07,719 Speaker 1: Trump family treating the White House as a piggybank, and 176 00:09:07,720 --> 00:09:09,800 Speaker 1: you're not going to do any hearings about that, it 177 00:09:09,840 --> 00:09:13,680 Speaker 1: makes it so easy for the media. And whenever I 178 00:09:13,679 --> 00:09:16,320 Speaker 1: talk to people who left about this, like Hunter Biden, 179 00:09:16,640 --> 00:09:20,920 Speaker 1: what about Donald Trump Junior? What about the Trump organization? 180 00:09:21,400 --> 00:09:24,120 Speaker 1: On what about Jared Kushner, it's the same. And again, 181 00:09:24,240 --> 00:09:26,280 Speaker 1: like it's easy for you and I to sit here 182 00:09:26,360 --> 00:09:28,720 Speaker 1: and say this because we're journalists, and a lot of 183 00:09:28,760 --> 00:09:31,880 Speaker 1: journalists actually, I think lack of curiosity or even awareness 184 00:09:31,960 --> 00:09:34,320 Speaker 1: that this is happening to the extent that it happens 185 00:09:34,440 --> 00:09:37,720 Speaker 1: on the left. The Hunter Biden story is as good 186 00:09:37,760 --> 00:09:42,079 Speaker 1: an example as any. But all that is to say, 187 00:09:42,440 --> 00:09:47,120 Speaker 1: Republicans have Mitch McConnell as their Senate Minority leader, who 188 00:09:47,240 --> 00:09:52,440 Speaker 1: someone who is clearly and just obviously compromised by China. 189 00:09:52,840 --> 00:09:57,559 Speaker 1: So when Democrats have failed to you know, have any curiosity, 190 00:09:57,640 --> 00:10:01,640 Speaker 1: like they investigated Trump, they overturned every single rock you 191 00:10:01,679 --> 00:10:04,160 Speaker 1: know throughout the court, did really go into those that 192 00:10:04,240 --> 00:10:07,199 Speaker 1: financial stuff, because that because then that would have been 193 00:10:07,360 --> 00:10:10,480 Speaker 1: asking questions that might have had difficult answers on their side. 194 00:10:10,520 --> 00:10:13,640 Speaker 1: On their side, right, yeah, I would love answers about 195 00:10:13,720 --> 00:10:16,040 Speaker 1: Jared Kushner. And there are a lot of Republicans who 196 00:10:16,080 --> 00:10:19,400 Speaker 1: would privately tell you they would love answers about Jared question. 197 00:10:19,400 --> 00:10:21,040 Speaker 1: I think that's why the impeachment was over like the 198 00:10:21,120 --> 00:10:24,880 Speaker 1: Ukraine phone call, rather than the broad based corruption like 199 00:10:24,920 --> 00:10:28,520 Speaker 1: oh okay, yeah he did do it, like fifty percent worse, 200 00:10:29,559 --> 00:10:32,079 Speaker 1: but we kind of do it too, just a little 201 00:10:32,080 --> 00:10:36,320 Speaker 1: bit more delicately. Lobbying is more sophisticatedly. This is the 202 00:10:36,360 --> 00:10:39,320 Speaker 1: perfect window name trading. Lobbying is the perfect window into 203 00:10:39,320 --> 00:10:42,760 Speaker 1: the bipartisan corruption of Washington d C. Is absolutely equally 204 00:10:42,800 --> 00:10:45,080 Speaker 1: one hundred percent as bad on one side as it 205 00:10:45,200 --> 00:10:46,960 Speaker 1: is on the other. It goes all the way to 206 00:10:47,000 --> 00:10:49,440 Speaker 1: the top, and there it is. It is as bad 207 00:10:49,440 --> 00:10:50,920 Speaker 1: on one side as it does in the other. It's 208 00:10:51,040 --> 00:10:54,839 Speaker 1: does true a fundamental truth about Washington DC. Because wherever 209 00:10:54,840 --> 00:10:56,760 Speaker 1: there's money to be made, and there's money to be 210 00:10:56,800 --> 00:10:58,680 Speaker 1: made with whomever has power. So as long as the 211 00:10:58,679 --> 00:11:02,560 Speaker 1: American people keep voting for both Republicans and Democrats at 212 00:11:02,640 --> 00:11:04,800 Speaker 1: roughly fifty percent, there's going to be a lot of 213 00:11:04,840 --> 00:11:06,960 Speaker 1: money going to one side or the other. So I 214 00:11:07,000 --> 00:11:08,560 Speaker 1: agree with you, Ryan, I think it would be great 215 00:11:08,559 --> 00:11:10,520 Speaker 1: if they wanted to look into Jared Kusher, but they're 216 00:11:10,600 --> 00:11:14,120 Speaker 1: so deeply tied right now to Trump. They don't want 217 00:11:14,160 --> 00:11:17,959 Speaker 1: to offend Trump voters. They don't want to poke in 218 00:11:18,040 --> 00:11:21,240 Speaker 1: products don't like Kushner, do they No, Actually they really don't. 219 00:11:21,240 --> 00:11:24,000 Speaker 1: But Donald Trump would be pretty upset if a congressional 220 00:11:24,080 --> 00:11:26,880 Speaker 1: Republicans started looking into his son in law because that 221 00:11:26,920 --> 00:11:28,600 Speaker 1: could come back on it. The big guy might get 222 00:11:28,600 --> 00:11:30,280 Speaker 1: a little more than ten percent on that one. That 223 00:11:30,320 --> 00:11:32,920 Speaker 1: big guy. I mean there, listen, there's so many big guys. 224 00:11:32,960 --> 00:11:37,880 Speaker 1: It's like we're in Casino. The Democratic big guy stound 225 00:11:37,920 --> 00:11:41,920 Speaker 1: himself short. Probably Yeah, So let's move on to Nancy Pelosi. 226 00:11:42,559 --> 00:11:46,240 Speaker 1: This is an earthquake in Washington, d C. Really, I mean, 227 00:11:46,320 --> 00:11:48,920 Speaker 1: people knew what was coming, but weren't sure. It was 228 00:11:48,920 --> 00:11:51,480 Speaker 1: one of those times in the news cycle I felt 229 00:11:51,480 --> 00:11:54,720 Speaker 1: today where genuinely nobody knew how it was going to 230 00:11:54,760 --> 00:11:57,600 Speaker 1: shake out. It kind of felt old school, whereas in 231 00:11:57,600 --> 00:11:59,679 Speaker 1: the age of social media there's so much dripping and 232 00:11:59,760 --> 00:12:01,960 Speaker 1: driping that you kind of get a good inclination of 233 00:12:01,960 --> 00:12:03,920 Speaker 1: what's going to happen before it happens. But this time, 234 00:12:04,160 --> 00:12:08,520 Speaker 1: Nancy Pelosi came out today and said she was stepping 235 00:12:08,520 --> 00:12:11,440 Speaker 1: down from a leadership position but remaining in Congress. Let's 236 00:12:11,440 --> 00:12:14,280 Speaker 1: take a look at b one, my friends. No matter 237 00:12:14,320 --> 00:12:20,280 Speaker 1: what title you all my colleagues have bestowed upon me, speaker, leader, whip, 238 00:12:20,840 --> 00:12:23,840 Speaker 1: there is no greater official honor for me than to 239 00:12:23,920 --> 00:12:26,880 Speaker 1: stand on this floor and to speak for the people 240 00:12:27,040 --> 00:12:30,640 Speaker 1: of San Francisco. This I will continue to do as 241 00:12:30,679 --> 00:12:33,480 Speaker 1: a member of the House, speaking for the people of 242 00:12:33,520 --> 00:12:38,360 Speaker 1: San Francisco, serving the great state of California, and defending 243 00:12:38,480 --> 00:12:43,320 Speaker 1: our constitution, and with great confidence in our caucus. I 244 00:12:43,360 --> 00:12:47,839 Speaker 1: will not seek reelection to Democratic leadership in the next Congress. 245 00:12:48,559 --> 00:12:51,360 Speaker 1: For me, the hours come for a new generation to 246 00:12:51,480 --> 00:12:55,800 Speaker 1: lead the Democratic Caucus that I so deeply respect. So 247 00:12:55,840 --> 00:12:57,959 Speaker 1: she's stepping down from leadership, but she's going to remain 248 00:12:58,000 --> 00:13:02,840 Speaker 1: in Congress representing San Francisco. Social sort of yeah, maybe 249 00:13:02,840 --> 00:13:05,160 Speaker 1: to be able to mentor the new leadership that's coming 250 00:13:05,240 --> 00:13:07,760 Speaker 1: up behind her. But you're that's charitable what you were saying. 251 00:13:08,080 --> 00:13:10,920 Speaker 1: What you were saying about the people didn't quite know, 252 00:13:10,960 --> 00:13:13,560 Speaker 1: people expected, but it didn't quite know. Reminded me of 253 00:13:13,600 --> 00:13:17,200 Speaker 1: twenty ten though, after Democrats got wiped out in the 254 00:13:17,240 --> 00:13:19,640 Speaker 1: Tea Party wave of twenty ten. So that's the first 255 00:13:19,640 --> 00:13:23,040 Speaker 1: time that she loses her speakership. The entire cities wondering 256 00:13:23,559 --> 00:13:26,120 Speaker 1: is she going to stick around a lot of people 257 00:13:26,160 --> 00:13:28,520 Speaker 1: thought this is probably it for her, and the RNC 258 00:13:28,720 --> 00:13:32,640 Speaker 1: ran a very heavy campaign, fire polar Yes. So I 259 00:13:32,679 --> 00:13:35,560 Speaker 1: was on paternity leave and I get a call like, 260 00:13:35,600 --> 00:13:37,680 Speaker 1: the speaker wants to do an interview. Oh my gosh, 261 00:13:37,760 --> 00:13:39,000 Speaker 1: were you at hof post at the time. I was 262 00:13:39,040 --> 00:13:41,240 Speaker 1: at half post at the time, and so I get 263 00:13:41,520 --> 00:13:45,400 Speaker 1: called in do the interview. I learned later that her 264 00:13:45,520 --> 00:13:48,480 Speaker 1: staff had no idea whether she was going to stay 265 00:13:48,559 --> 00:13:52,719 Speaker 1: or not, and it was driving them crazy. They're trying 266 00:13:52,720 --> 00:13:54,720 Speaker 1: to fire out. Do I need a new job, do 267 00:13:54,760 --> 00:13:57,280 Speaker 1: we need to get a whip operation going? And she 268 00:13:57,320 --> 00:14:01,080 Speaker 1: was being so mum about her future. They're like, let's 269 00:14:01,120 --> 00:14:05,160 Speaker 1: get Ryan in here and he'll ask they used you 270 00:14:06,320 --> 00:14:10,080 Speaker 1: to mediate their own office, their own boss, to try 271 00:14:10,080 --> 00:14:12,320 Speaker 1: to figure out its own boss. Oh my gosh. And 272 00:14:12,360 --> 00:14:15,719 Speaker 1: she wouldn't explicitly in the interview come out and say 273 00:14:15,760 --> 00:14:19,960 Speaker 1: that she was staying. But she said, I'm making a 274 00:14:19,960 --> 00:14:24,480 Speaker 1: lot of calls and I'm very pleased by what I'm hearing. 275 00:14:25,240 --> 00:14:26,600 Speaker 1: There are a lot of people who are telling me 276 00:14:26,600 --> 00:14:28,680 Speaker 1: that they want me to stay, and I'm going to 277 00:14:28,680 --> 00:14:31,120 Speaker 1: continue to make those calls. She made it ninety nine 278 00:14:31,120 --> 00:14:33,240 Speaker 1: percent clear, and so I published that It's like okay, 279 00:14:33,280 --> 00:14:35,440 Speaker 1: and then it was off to the races and she 280 00:14:35,520 --> 00:14:39,120 Speaker 1: locked down support very quickly. It was only years later 281 00:14:39,160 --> 00:14:41,600 Speaker 1: I learned that they literally had no idea what she 282 00:14:41,640 --> 00:14:43,240 Speaker 1: was going to do, and the only way they could 283 00:14:43,240 --> 00:14:45,240 Speaker 1: think to find out because she just wouldn't say, was 284 00:14:45,440 --> 00:14:47,600 Speaker 1: let's bring a reporter in here. You're the best person 285 00:14:47,600 --> 00:14:49,480 Speaker 1: I could think of to ask about the legacy of 286 00:14:49,560 --> 00:14:52,880 Speaker 1: Nancy Pelosi, because you've covered this from I think a 287 00:14:53,320 --> 00:14:57,240 Speaker 1: genuinely fair vantage point as opposed to the press really 288 00:14:57,280 --> 00:15:00,680 Speaker 1: has always loved Nancy Pelosi. Does she get tough treatments sometimes? Yes, 289 00:15:00,720 --> 00:15:03,080 Speaker 1: But if for evidence, read Molly Ball's book on How 290 00:15:03,120 --> 00:15:05,000 Speaker 1: the That's a great example of how the press in 291 00:15:05,040 --> 00:15:08,840 Speaker 1: general treats Nancy Pelosi. Your experiences over the course the 292 00:15:08,920 --> 00:15:13,440 Speaker 1: last couple decades Pelosi wise, looking back now she's stepping down, 293 00:15:13,880 --> 00:15:18,280 Speaker 1: what's the legacy of Nancy Pelosi? Well, I mean Obamacare 294 00:15:18,400 --> 00:15:20,600 Speaker 1: would be would be her legacy, I think, because that's 295 00:15:20,640 --> 00:15:23,480 Speaker 1: the thing that she salvaged from complete wreckage. Like that 296 00:15:23,680 --> 00:15:26,600 Speaker 1: so great. How we got the public option, Well she 297 00:15:26,680 --> 00:15:29,760 Speaker 1: did get it through the House, actually, But the fact 298 00:15:29,800 --> 00:15:33,120 Speaker 1: that she used to do interviews with me despite the 299 00:15:33,160 --> 00:15:36,240 Speaker 1: fact that the Huffing Post was constantly kind of hammering her, 300 00:15:37,280 --> 00:15:40,440 Speaker 1: shows the kind of amoral power player that she was 301 00:15:40,600 --> 00:15:44,360 Speaker 1: that people misunderstand. How you get access in Washington. Access 302 00:15:44,400 --> 00:15:47,880 Speaker 1: comes from from power and from forcing people to have 303 00:15:47,960 --> 00:15:51,360 Speaker 1: to talk to you rather than from being nice to them, 304 00:15:51,360 --> 00:15:53,360 Speaker 1: because if you're nice to them, then they don't have 305 00:15:53,400 --> 00:15:54,720 Speaker 1: to talk to you anyway because you're just going to 306 00:15:54,720 --> 00:15:56,480 Speaker 1: be nice to them anyway. Or it comes from the 307 00:15:56,520 --> 00:16:01,640 Speaker 1: staff needing to know run. But so there's this, there's 308 00:16:01,640 --> 00:16:05,160 Speaker 1: this myth about Nancy Pelosi that, uh, she was a 309 00:16:05,320 --> 00:16:08,520 Speaker 1: housewife from Baltimore and her dad was a mayor. She's 310 00:16:08,560 --> 00:16:11,120 Speaker 1: a housewife, her kids go off to college, then she 311 00:16:11,200 --> 00:16:17,200 Speaker 1: jumps into politics. That really obscures how political a person 312 00:16:17,240 --> 00:16:19,720 Speaker 1: she was like from the very beginning. So and her 313 00:16:19,760 --> 00:16:24,520 Speaker 1: dad wasn't just mayor like this big Tommy Lessandra de Lossandro. Uh, 314 00:16:24,600 --> 00:16:28,240 Speaker 1: her grandfather this, well that's that and her you know right, 315 00:16:28,240 --> 00:16:30,680 Speaker 1: her grandfather too and her father and her father was 316 00:16:30,720 --> 00:16:33,480 Speaker 1: a new deal congressman as well as then a big 317 00:16:33,520 --> 00:16:36,720 Speaker 1: city boss in the nineteen forties and fifties, which meant 318 00:16:36,760 --> 00:16:39,080 Speaker 1: and I go and I looked at his FBI file 319 00:16:39,120 --> 00:16:41,960 Speaker 1: from my book, like a lot a lot of mob connections. 320 00:16:42,040 --> 00:16:43,520 Speaker 1: Like doesn't mean that he was part of the mob, 321 00:16:43,560 --> 00:16:47,120 Speaker 1: but like publicly there are all sorts of you know, mobs, 322 00:16:47,160 --> 00:16:49,840 Speaker 1: every major city, every major every mayor of a big 323 00:16:49,920 --> 00:16:52,200 Speaker 1: city back in the forties and fifties, machine mayors like 324 00:16:52,240 --> 00:16:54,520 Speaker 1: they had to deal with the mob Baltimore, I mean, 325 00:16:54,600 --> 00:16:58,680 Speaker 1: especially an American club, super industrial and like thriving at 326 00:16:58,720 --> 00:17:02,520 Speaker 1: the time. So as ailed Nancy Pelosi and her mother, 327 00:17:02,520 --> 00:17:05,600 Speaker 1: because her mother was a piece of this machine as well, 328 00:17:05,640 --> 00:17:07,280 Speaker 1: and so that's one way that she learned that like, 329 00:17:07,280 --> 00:17:10,120 Speaker 1: oh this is this is for women too. They would 330 00:17:10,200 --> 00:17:13,719 Speaker 1: keep these lists and these these files of you know 331 00:17:13,760 --> 00:17:15,800 Speaker 1: who who needed favors and who you know who was 332 00:17:15,840 --> 00:17:18,080 Speaker 1: on the bad list like that, because that's that's the 333 00:17:18,200 --> 00:17:19,960 Speaker 1: kind of the both the good and the bad of 334 00:17:20,000 --> 00:17:24,239 Speaker 1: a machine. That a machine that actually functions is going 335 00:17:24,280 --> 00:17:27,720 Speaker 1: to deliver things for people and in exchange, the public 336 00:17:27,800 --> 00:17:29,000 Speaker 1: is going to keep re electing them to all of 337 00:17:29,000 --> 00:17:31,520 Speaker 1: a sudden overlook their corruption. Like that's the that's the 338 00:17:31,600 --> 00:17:34,399 Speaker 1: kind of bargain bargain broke down. When the machines actually 339 00:17:34,400 --> 00:17:36,919 Speaker 1: stopped delivering for people, people are like, oh, so now 340 00:17:36,920 --> 00:17:39,439 Speaker 1: you're just corrupt. No, no, no, you want to do 341 00:17:39,440 --> 00:17:41,480 Speaker 1: the corruption. You got to Like when I call you 342 00:17:41,560 --> 00:17:44,320 Speaker 1: because I got a problem. My trash isn't getting picked up. 343 00:17:44,320 --> 00:17:47,160 Speaker 1: You get my trash picked up. So she she learned 344 00:17:47,240 --> 00:17:51,280 Speaker 1: from a real party boss, and so people think of 345 00:17:51,280 --> 00:17:54,480 Speaker 1: her as a California Liberal. No, she's like a Baltimore boss. 346 00:17:55,040 --> 00:17:59,480 Speaker 1: So when she goes over to California, she had she'd 347 00:17:59,480 --> 00:18:04,040 Speaker 1: been married to for since from very early. They both 348 00:18:04,080 --> 00:18:07,760 Speaker 1: they move out to California and she meets this guy, 349 00:18:07,800 --> 00:18:11,800 Speaker 1: Phil Burton. You know Phil Burton the Fight And there's 350 00:18:11,800 --> 00:18:15,000 Speaker 1: this great book, Rage for Justice about Phil Burton. Just 351 00:18:15,040 --> 00:18:19,400 Speaker 1: an incredible figure. He died young in nineteen eighty three. 352 00:18:19,560 --> 00:18:22,639 Speaker 1: Had he lived, I think the Democratic Party is a 353 00:18:22,640 --> 00:18:25,040 Speaker 1: little bit different in the eighties and nineties, he probably 354 00:18:25,080 --> 00:18:28,320 Speaker 1: would have been Speaker of the House. So they meet 355 00:18:28,560 --> 00:18:31,480 Speaker 1: and he sees this mansion that she lives in. What 356 00:18:31,560 --> 00:18:33,520 Speaker 1: could we do with this? He's like, this would be 357 00:18:33,520 --> 00:18:36,439 Speaker 1: an incredible place for fundraisers. She's like, you got it, 358 00:18:36,880 --> 00:18:40,840 Speaker 1: and so she starts by the nineteen seventies fundraising and 359 00:18:41,040 --> 00:18:43,800 Speaker 1: meeting all of these power players, and Phil Burton, most 360 00:18:43,880 --> 00:18:47,040 Speaker 1: powerful man in California at the time, rise it's become 361 00:18:47,040 --> 00:18:50,199 Speaker 1: one of the most powerful Democrats and calls himself a 362 00:18:50,200 --> 00:18:52,440 Speaker 1: fighting Liberal. What he means by that is he's kind 363 00:18:52,440 --> 00:18:56,840 Speaker 1: of cutthroat, but he's also progressive. He basically pioneered jerry mandering. 364 00:18:58,080 --> 00:18:59,720 Speaker 1: It goes back a couple hundred years, but he's the 365 00:18:59,720 --> 00:19:04,920 Speaker 1: one that really brought it to scale. It Elbridge Jerry, Yeah, yeah, 366 00:19:04,960 --> 00:19:07,800 Speaker 1: he even he's he was such a sicko. He even 367 00:19:07,920 --> 00:19:11,119 Speaker 1: drew a district for his brother, so they were there 368 00:19:11,160 --> 00:19:15,399 Speaker 1: were two just being just being a good brother John. 369 00:19:16,480 --> 00:19:21,639 Speaker 1: And so he also pioneered the idea of raising tons 370 00:19:21,640 --> 00:19:24,560 Speaker 1: of money and giving it to other members of Congress, 371 00:19:24,600 --> 00:19:27,000 Speaker 1: like that was new, like today, that's how you rise 372 00:19:27,080 --> 00:19:29,840 Speaker 1: up in the ranks in Congress. It's it's pathetic and 373 00:19:29,880 --> 00:19:32,560 Speaker 1: it's sad, and it's at the root of the rot 374 00:19:32,600 --> 00:19:35,800 Speaker 1: in the system. But the people and Hakeem Jeffers rise 375 00:19:35,800 --> 00:19:37,800 Speaker 1: at the top. One thing he's really good at raises 376 00:19:37,800 --> 00:19:40,800 Speaker 1: a lot of money, distributes it to other members of Congress, 377 00:19:41,480 --> 00:19:44,840 Speaker 1: buys their friendship, buys their loyalty, moves moves way up. 378 00:19:44,840 --> 00:19:48,120 Speaker 1: So he pioneered that. He also took on the Dixiecrats. 379 00:19:48,560 --> 00:19:52,439 Speaker 1: He was the one who really kind of denuded their 380 00:19:52,520 --> 00:19:56,399 Speaker 1: power in the nineteen sixties and seventies, taking taking on 381 00:19:56,920 --> 00:20:01,360 Speaker 1: these kind of old racists white the whites, segregationist kind 382 00:20:01,359 --> 00:20:04,399 Speaker 1: of wing. And so the whole time that's that's she 383 00:20:04,760 --> 00:20:07,560 Speaker 1: doesn't like to have him called her mentors. I don't 384 00:20:07,600 --> 00:20:10,200 Speaker 1: need anybody to mentor me. That was her ally. Let's 385 00:20:10,240 --> 00:20:12,880 Speaker 1: call it called the ally. So in nineteen eighty three 386 00:20:12,880 --> 00:20:18,760 Speaker 1: he dies suddenly, his wife takes over for four years. 387 00:20:19,119 --> 00:20:22,840 Speaker 1: She then dies fairly suddenly of but of cancer. She's 388 00:20:22,880 --> 00:20:27,159 Speaker 1: in her deathbed and she makes an endorsement. She's like, 389 00:20:27,320 --> 00:20:31,080 Speaker 1: I want Nancy and to take my seat. That's how 390 00:20:31,119 --> 00:20:33,199 Speaker 1: it's told in all the stories that and then she 391 00:20:33,280 --> 00:20:35,879 Speaker 1: just walked into the seat, not at all true. This 392 00:20:36,040 --> 00:20:39,360 Speaker 1: was a very competitive primary, and she ran against this guy, 393 00:20:39,680 --> 00:20:45,080 Speaker 1: Harry Britt, who was who was appointed by Feinstein to 394 00:20:45,160 --> 00:20:48,199 Speaker 1: replace Harvey Milk. People remember who Harvey Milk was. He 395 00:20:48,280 --> 00:20:53,159 Speaker 1: was the radical gay council member who was murdered in 396 00:20:53,880 --> 00:20:55,960 Speaker 1: They don't call him council members in San Francisco, whatever, 397 00:20:55,960 --> 00:20:59,520 Speaker 1: they call him out there. He's murdered and Britt replaced him. 398 00:20:59,560 --> 00:21:03,679 Speaker 1: So brit was also Democratic Socials of America that Revice 399 00:21:03,760 --> 00:21:06,959 Speaker 1: chair for the city, and so it was a it 400 00:21:07,000 --> 00:21:10,119 Speaker 1: was a true kind of establishment because she represented the 401 00:21:10,200 --> 00:21:14,680 Speaker 1: kind of rich liberals in the city. He represented the socialists, 402 00:21:15,520 --> 00:21:19,560 Speaker 1: the gay rights movement and the kind of radical element 403 00:21:19,640 --> 00:21:23,800 Speaker 1: of San Francisco. And she won in a kind of 404 00:21:24,720 --> 00:21:26,159 Speaker 1: with like thirty five percent of the vote to like 405 00:21:26,200 --> 00:21:29,040 Speaker 1: thirty two percent of vose and so everybody and she's like, 406 00:21:29,160 --> 00:21:31,199 Speaker 1: you know, don't tell me about being progressive. I'm from 407 00:21:31,240 --> 00:21:34,680 Speaker 1: San Francisco. And what people don't understand is you won 408 00:21:34,720 --> 00:21:37,760 Speaker 1: by beating the left. And so she's been fighting the 409 00:21:37,840 --> 00:21:44,280 Speaker 1: left while also understanding it because she's from from San Francisco. 410 00:21:44,359 --> 00:21:46,240 Speaker 1: I was going to say, I think the most interesting 411 00:21:46,280 --> 00:21:48,320 Speaker 1: thing about Nancy Pelosi is in the tension that you 412 00:21:48,359 --> 00:21:50,760 Speaker 1: mentioned earlier, where you said people think of her as 413 00:21:50,800 --> 00:21:54,159 Speaker 1: a San Francisco Liberal, but she's a Baltimore Democrat. And 414 00:21:54,200 --> 00:21:56,600 Speaker 1: I think what's most interesting about her is that she's both. 415 00:21:57,000 --> 00:21:59,679 Speaker 1: She started as one and really became the other, and 416 00:21:59,720 --> 00:22:02,560 Speaker 1: she has two. If you're front on the left. To 417 00:22:02,640 --> 00:22:05,240 Speaker 1: her credit, she has been ahead of the curve on 418 00:22:05,320 --> 00:22:09,320 Speaker 1: certain things that progressive champion. She knows where the political 419 00:22:09,320 --> 00:22:12,600 Speaker 1: winds are blowing. And I think she also has fairly 420 00:22:13,560 --> 00:22:17,240 Speaker 1: socially progressive values. It's a different story on other things, 421 00:22:17,520 --> 00:22:20,600 Speaker 1: but socially progressive values, and that's I think one of 422 00:22:20,640 --> 00:22:23,480 Speaker 1: the most interesting through lines of Nancy Pelosi's career is 423 00:22:23,480 --> 00:22:26,480 Speaker 1: that she in terms of her legacy and there will 424 00:22:26,480 --> 00:22:28,840 Speaker 1: be buildings named after her in the city, believe me. 425 00:22:29,320 --> 00:22:33,280 Speaker 1: And it'll happen soon, I'm sure. But she put muscle 426 00:22:33,440 --> 00:22:35,920 Speaker 1: even when she didn't want to, because she knew where 427 00:22:35,960 --> 00:22:38,840 Speaker 1: the where her bread was buttered than the political winds 428 00:22:38,880 --> 00:22:43,880 Speaker 1: were blowing. She put muscle behind some progressive causes in Washington, 429 00:22:43,960 --> 00:22:47,639 Speaker 1: d c. Oh, for sure. Yeah, she as a Baltimore Democrat, right, 430 00:22:47,680 --> 00:22:51,040 Speaker 1: for sure. She combined those two things, power politics coming 431 00:22:51,080 --> 00:22:54,800 Speaker 1: out of the old school Democratic Party with like progressivism. 432 00:22:55,480 --> 00:23:01,200 Speaker 1: That's a she's really been invaluable of that cause. Yeah, 433 00:23:01,240 --> 00:23:03,960 Speaker 1: and Burton too got a ton done. I think you 434 00:23:04,000 --> 00:23:08,760 Speaker 1: did social security, a supplemental soil security. You look through 435 00:23:08,800 --> 00:23:12,160 Speaker 1: his list of accomplishments, minimum wage, like a ton of 436 00:23:12,200 --> 00:23:14,640 Speaker 1: like really big stuff that he was able to get 437 00:23:14,640 --> 00:23:19,760 Speaker 1: through by being this like really cutthroat machiavellian power player. 438 00:23:20,359 --> 00:23:26,480 Speaker 1: Who who remembers like who who has done what? And 439 00:23:26,680 --> 00:23:30,840 Speaker 1: you know, Pelosi just has the steel trap of a memory. 440 00:23:30,960 --> 00:23:35,920 Speaker 1: And members would say that that nothing would get past her, 441 00:23:35,960 --> 00:23:40,840 Speaker 1: like so they'd be in some meeting and she'd be like, oh, Hey, Donna, Ah, Yeah, 442 00:23:40,920 --> 00:23:44,879 Speaker 1: you voted on that prescription drug amendment and Energy and 443 00:23:44,920 --> 00:23:47,439 Speaker 1: Commerce a couple of weeks ago, and it was an 444 00:23:47,480 --> 00:23:51,320 Speaker 1: interesting vote, and then you were like, how, like, how 445 00:23:51,320 --> 00:23:53,679 Speaker 1: are you even watching? How do you remember that like 446 00:23:54,240 --> 00:23:57,560 Speaker 1: four hundred thirty five members, two hundred and thirty forty Democrats, 447 00:23:57,600 --> 00:24:01,280 Speaker 1: like thousands of votes being cast every week. You like 448 00:24:01,280 --> 00:24:03,440 Speaker 1: like they felt like they could not get away with anything, 449 00:24:03,720 --> 00:24:08,800 Speaker 1: and workaholism is something that is an underappreciated trait, Like 450 00:24:08,840 --> 00:24:12,520 Speaker 1: if she basically never slept and it was just constantly 451 00:24:12,520 --> 00:24:16,720 Speaker 1: on the phone, you know, either their browbeating or whispering 452 00:24:16,720 --> 00:24:20,280 Speaker 1: sweet nothings or you know, just you know, making sure 453 00:24:20,320 --> 00:24:22,359 Speaker 1: that she had that she had everything in a row. 454 00:24:23,280 --> 00:24:25,359 Speaker 1: We all laugh about how funny it's going to be 455 00:24:25,440 --> 00:24:29,160 Speaker 1: to watch Kevin McCarthy kind of manage this this conference 456 00:24:29,440 --> 00:24:31,960 Speaker 1: with just a handful of votes. She had like a 457 00:24:31,960 --> 00:24:35,359 Speaker 1: three vote majority for a lot of this, and it 458 00:24:35,400 --> 00:24:37,959 Speaker 1: wasn't even that funny. It was just like just just 459 00:24:38,000 --> 00:24:41,800 Speaker 1: had everybody in line. Here's another interesting thing. So Hakeem 460 00:24:41,840 --> 00:24:44,840 Speaker 1: Jefferies is set to it looks like we'll get into this, 461 00:24:44,920 --> 00:24:48,120 Speaker 1: but it's up moved to Hakeem Jefferies to Democrats. Yeah, 462 00:24:48,160 --> 00:24:50,760 Speaker 1: let's talk about Akiem Jeffries. So we can put B 463 00:24:51,040 --> 00:24:53,439 Speaker 1: I think this is B four up on the screen. 464 00:24:53,480 --> 00:24:57,080 Speaker 1: It's a tweet from Jake Sherman of punch Bowl. Clyburne 465 00:24:57,200 --> 00:25:00,639 Speaker 1: ends up assistant Democrat leader. This is all well again, 466 00:25:00,760 --> 00:25:03,720 Speaker 1: like that's with all of these sort of dominoes falling. 467 00:25:03,840 --> 00:25:06,800 Speaker 1: This is an earthquake in democratic politics. This is a 468 00:25:06,880 --> 00:25:10,440 Speaker 1: huge shake up Stundy Hoyer. Nancy Pelosi's long time love 469 00:25:10,480 --> 00:25:13,600 Speaker 1: hate relationship with study goes back years and they dated, 470 00:25:13,880 --> 00:25:16,000 Speaker 1: They went on a date and in the nineteen fifties, 471 00:25:16,119 --> 00:25:20,040 Speaker 1: you couldn't write it interned for the same senator, Maryland. Senator, 472 00:25:20,200 --> 00:25:22,480 Speaker 1: you couldn't. You couldn't write that stuff. Yeah, both Marylanders, 473 00:25:22,560 --> 00:25:25,200 Speaker 1: and they have been a little hostile to each other 474 00:25:25,200 --> 00:25:27,520 Speaker 1: since then. He was elected in like eighty one, she 475 00:25:27,600 --> 00:25:31,280 Speaker 1: was elected eighty seven, and he always she was always 476 00:25:31,320 --> 00:25:34,080 Speaker 1: sort of usurping him, right, And this goes back decades. 477 00:25:34,160 --> 00:25:36,679 Speaker 1: Love to know what happened on the day because she's 478 00:25:37,320 --> 00:25:41,159 Speaker 1: who's a master about that? Well, hopefully I'll get another interview. 479 00:25:41,200 --> 00:25:43,679 Speaker 1: Good she is, but she doesn't answer, she does not 480 00:25:43,800 --> 00:25:46,760 Speaker 1: entertain questions about that. Yeah, I'm sure she doesn't. But 481 00:25:47,200 --> 00:25:50,240 Speaker 1: so all that is to say, he Hakim Jeffreys. She 482 00:25:50,280 --> 00:25:52,440 Speaker 1: won't even confirm that a date happened. That's like a 483 00:25:52,640 --> 00:25:55,520 Speaker 1: just that's just Washington lore. All right, Well we do 484 00:25:55,600 --> 00:25:58,439 Speaker 1: we do know the intern together and they have beef. 485 00:25:59,200 --> 00:26:01,439 Speaker 1: Well you can to fill in the blank there. So 486 00:26:02,080 --> 00:26:05,280 Speaker 1: the thing about Nancy Pelosi, and I heard this described 487 00:26:05,320 --> 00:26:08,760 Speaker 1: actually by Philip Wegman, who just before we started talking 488 00:26:08,800 --> 00:26:12,800 Speaker 1: here was on special report and mentioned that Nancy Pelosi 489 00:26:12,880 --> 00:26:17,439 Speaker 1: quote had bent the institution to her will and coming 490 00:26:17,600 --> 00:26:20,200 Speaker 1: in when you have new leadership coming in, they saw 491 00:26:20,200 --> 00:26:22,680 Speaker 1: what Nancy Pelosi has done in the House over the 492 00:26:22,760 --> 00:26:26,879 Speaker 1: last half decade, just this most recent bid, as in 493 00:26:26,880 --> 00:26:30,520 Speaker 1: this most recent tenure of speaker, and she absolutely has 494 00:26:30,560 --> 00:26:32,520 Speaker 1: bent the institution to her will. She got rid of 495 00:26:32,520 --> 00:26:35,360 Speaker 1: the motion of vacate, which is very controversial among Republicans, 496 00:26:35,440 --> 00:26:39,000 Speaker 1: right commit Vacate is the one that almost got banner. 497 00:26:39,560 --> 00:26:41,159 Speaker 1: She got rid of the motion of vacate. Yeah, and 498 00:26:41,200 --> 00:26:42,959 Speaker 1: so there's I thought Republicans were trying to get rid 499 00:26:42,960 --> 00:26:47,080 Speaker 1: of that. Republicans are trying to bring it. And so yeah, 500 00:26:47,119 --> 00:26:50,399 Speaker 1: she booted people off committees, which Republicans see as a 501 00:26:50,480 --> 00:26:55,720 Speaker 1: huge red line, And the question is themselves. Does does 502 00:26:55,760 --> 00:26:57,800 Speaker 1: Haakim Jeffries? And this is by the way, coming from 503 00:26:57,840 --> 00:27:00,720 Speaker 1: Nancy Pelosi, who is a little bit of both Baltimore 504 00:27:00,720 --> 00:27:03,760 Speaker 1: Democrat and San Francisco Liberal, and who did put a 505 00:27:03,760 --> 00:27:06,000 Speaker 1: lot of muscle into the January sixth committees and sort 506 00:27:06,040 --> 00:27:09,920 Speaker 1: of neutering Trump's Republican Party over the last half decade. 507 00:27:10,480 --> 00:27:13,919 Speaker 1: So does Hakim Jeffries step into this vacuum should this 508 00:27:14,000 --> 00:27:16,840 Speaker 1: election go through as people expect it to, does he 509 00:27:16,880 --> 00:27:19,520 Speaker 1: step into this vacuum having learned from Nancy Pelosi? And 510 00:27:19,600 --> 00:27:22,280 Speaker 1: Nancy Pelosi is going to remain in Congress, she said today. 511 00:27:22,520 --> 00:27:24,560 Speaker 1: Another thing people didn't know whether it would be the case. 512 00:27:24,880 --> 00:27:29,879 Speaker 1: What's their relationship? Like one thing that Pelosi has not 513 00:27:29,920 --> 00:27:33,800 Speaker 1: been good at has been grooming. And you know this 514 00:27:33,960 --> 00:27:41,200 Speaker 1: is probably intentional, but grooming successors like Ram Emmanuel stepped aside. 515 00:27:41,200 --> 00:27:42,840 Speaker 1: Now I'm not saying I wanted these successes to take 516 00:27:42,840 --> 00:27:45,680 Speaker 1: over from m Emmanuel was somebody who he wanted to 517 00:27:45,680 --> 00:27:47,520 Speaker 1: be Speaker of the House. He gave up and left. 518 00:27:47,600 --> 00:27:50,280 Speaker 1: Chris Van Hallen wanted to be a speaker. He gave 519 00:27:50,359 --> 00:27:52,880 Speaker 1: up and went to the Senate. Tons tons of them 520 00:27:52,920 --> 00:27:54,640 Speaker 1: just you know, they're like, you know what, these people 521 00:27:54,640 --> 00:27:57,480 Speaker 1: aren't going anywhere, So I'm just getting out of here. 522 00:27:57,640 --> 00:28:02,080 Speaker 1: And so, Hakeem is a relative late comer on the 523 00:28:02,080 --> 00:28:04,720 Speaker 1: scene here ten years into Congress, fifty two years old. 524 00:28:05,119 --> 00:28:10,560 Speaker 1: And also he was Joe Crowley's protege, and Joe Crowley 525 00:28:10,640 --> 00:28:15,160 Speaker 1: was her rival because Joe Crowley, when AOC beat him 526 00:28:15,359 --> 00:28:19,679 Speaker 1: in twenty eighteen, was busy organizing a coalition to challenge 527 00:28:19,720 --> 00:28:23,160 Speaker 1: her for Speaker, and Hakeem was very much a part 528 00:28:23,200 --> 00:28:27,160 Speaker 1: of that coalition. And so, but like I said, she's 529 00:28:27,200 --> 00:28:30,280 Speaker 1: a political player. She's not going to hold that against people. Also, 530 00:28:31,520 --> 00:28:33,679 Speaker 1: a Keem has it kind of locked up, so in 531 00:28:33,720 --> 00:28:36,000 Speaker 1: some ways it doesn't matter. Like she probably couldn't stop 532 00:28:36,040 --> 00:28:38,240 Speaker 1: him even if she wanted to. I've seen a lot 533 00:28:38,240 --> 00:28:42,160 Speaker 1: of people saying, how are progressives allowing this to happen. 534 00:28:42,200 --> 00:28:44,760 Speaker 1: It's like they got beat, and they got beat a 535 00:28:44,800 --> 00:28:47,600 Speaker 1: long time ago. Like he it seems like he has 536 00:28:47,640 --> 00:28:50,120 Speaker 1: the votes, and there's the same thing happened with Kevin 537 00:28:50,160 --> 00:28:53,640 Speaker 1: McCarthy this week. Is Kevin MacArthur the ideal choice of 538 00:28:53,680 --> 00:28:56,520 Speaker 1: the Freedom Caucus, which very much mirrors what the squad 539 00:28:56,640 --> 00:29:02,400 Speaker 1: is on the left. Absolutely not. Is is Tom Emmer, 540 00:29:02,440 --> 00:29:05,040 Speaker 1: who's the head of the NRCC and really infuriated a 541 00:29:05,040 --> 00:29:07,000 Speaker 1: bunch of people on the right the ideal choice of 542 00:29:07,000 --> 00:29:10,400 Speaker 1: the Freedom Caucus. No, but they got beat right. And 543 00:29:10,440 --> 00:29:14,360 Speaker 1: so Jeffries, though is not the is not the vote counter, 544 00:29:14,600 --> 00:29:20,320 Speaker 1: the whip, the kind of political power player that Pelosi is. 545 00:29:20,400 --> 00:29:22,720 Speaker 1: Now he has two years to try to try to 546 00:29:22,720 --> 00:29:26,080 Speaker 1: figure it out. The big question for him is going 547 00:29:26,120 --> 00:29:29,440 Speaker 1: to be will he continue to wage an open war 548 00:29:30,120 --> 00:29:33,400 Speaker 1: on the kind of progressive flank in the House. That's 549 00:29:33,440 --> 00:29:38,120 Speaker 1: what's so remarkable about Jeffries becoming leader, and assuming he 550 00:29:38,160 --> 00:29:42,280 Speaker 1: gets in without any opposition, that he's in such an 551 00:29:42,280 --> 00:29:46,520 Speaker 1: open war with the left that he has. He tweets 552 00:29:46,520 --> 00:29:49,760 Speaker 1: about it publicly. He created an entire pack, the team 553 00:29:50,080 --> 00:29:52,960 Speaker 1: Team Blue Pack. It's a priority for him that goes 554 00:29:53,080 --> 00:30:01,000 Speaker 1: and plays in primaries against progressive Democrats. Like when when 555 00:30:01,080 --> 00:30:04,760 Speaker 1: Joyce Batty won her primary in the twenty twenty cycle 556 00:30:04,800 --> 00:30:08,520 Speaker 1: against a Justice Democrat backed candidate Morgan Harper, he did 557 00:30:08,560 --> 00:30:12,360 Speaker 1: this huge spike of the football publicly, He's like, you're 558 00:30:12,360 --> 00:30:14,560 Speaker 1: trying to come for us, We're gonna we crushed you, 559 00:30:15,000 --> 00:30:17,760 Speaker 1: and then we're gonna We're gonna crush you in New York. 560 00:30:18,840 --> 00:30:21,800 Speaker 1: You know, Elliot Angle's next, We're gonna crush Jamal Bowman. 561 00:30:21,960 --> 00:30:25,080 Speaker 1: Jamal Bowman actually ends up beating Elliot Angle, even though 562 00:30:25,320 --> 00:30:29,760 Speaker 1: he embarrassingly. Kee Jefferson is called a shot and then lost. 563 00:30:29,800 --> 00:30:32,960 Speaker 1: But Jamal Bowman today said that he's going to support 564 00:30:33,280 --> 00:30:38,040 Speaker 1: a Keem Jefferies for leader. How does that happen? Well, one, 565 00:30:38,600 --> 00:30:42,520 Speaker 1: personal relationships, like people underestimate the strength of those Kevin 566 00:30:42,560 --> 00:30:45,960 Speaker 1: McCarthy and Jim Jordan's in Capitol Hill, right, being knowing 567 00:30:46,280 --> 00:30:48,680 Speaker 1: knowing somebody and liking them. And then you also don't 568 00:30:48,720 --> 00:30:52,280 Speaker 1: know what people do for each other, like right, and 569 00:30:52,600 --> 00:30:56,800 Speaker 1: not even in a corrupt way like just and and 570 00:30:57,080 --> 00:31:02,280 Speaker 1: just the vibe vibing together, like it's like it matters house. 571 00:31:02,400 --> 00:31:05,719 Speaker 1: The house runs partly on vibes to some extent, right, 572 00:31:05,760 --> 00:31:08,360 Speaker 1: and so like why is he why is he cool 573 00:31:08,440 --> 00:31:12,080 Speaker 1: with Jamal Bowman? But he's not cool with AOC somewhat 574 00:31:12,360 --> 00:31:16,080 Speaker 1: significantly about vibes because their politics are you know, pretty 575 00:31:16,160 --> 00:31:18,480 Speaker 1: much identical. Jamal Bowmen was asked what do you think 576 00:31:18,520 --> 00:31:21,400 Speaker 1: of having two New Yorkers potentially in leadership today? He 577 00:31:21,400 --> 00:31:24,200 Speaker 1: said that would be gangster, the other one being Espayot, 578 00:31:25,000 --> 00:31:28,400 Speaker 1: who would run I think the DPCC, who is a 579 00:31:28,640 --> 00:31:30,880 Speaker 1: who represents kind of part of the bronx in Manhattan. 580 00:31:31,880 --> 00:31:36,600 Speaker 1: So right, so you have him in open war with 581 00:31:36,720 --> 00:31:39,560 Speaker 1: the left and the left supporting him for this leadership position. 582 00:31:39,600 --> 00:31:42,760 Speaker 1: So then the question is does he continue the war? 583 00:31:42,760 --> 00:31:46,160 Speaker 1: And he's like, well, I smell weakness that How pathetic 584 00:31:46,240 --> 00:31:49,320 Speaker 1: is this? You know? I've I've I fight, I openly 585 00:31:49,360 --> 00:31:51,520 Speaker 1: fight them, and they still won't stand up to me. 586 00:31:51,560 --> 00:31:54,120 Speaker 1: So I might as well just steamroll them. Or does 587 00:31:54,160 --> 00:31:56,880 Speaker 1: he say I'm at the top now I have to 588 00:31:56,880 --> 00:32:00,080 Speaker 1: behave differently, like I run this and I run this 589 00:32:00,240 --> 00:32:03,920 Speaker 1: entire party, and if I want to be speaker, I 590 00:32:03,960 --> 00:32:06,840 Speaker 1: need everybody pulling together. That's what I'm so curious about, 591 00:32:06,880 --> 00:32:09,880 Speaker 1: because that's what Nancy Pelosi and Kevin McCarthy actually both have. 592 00:32:09,960 --> 00:32:12,760 Speaker 1: And Nancy Pelosi has it unlike anybody else, right, like 593 00:32:12,800 --> 00:32:15,719 Speaker 1: she really is in the history of American politics, one 594 00:32:15,720 --> 00:32:19,320 Speaker 1: of the people who has been able to combine the 595 00:32:19,360 --> 00:32:23,640 Speaker 1: power of the establishment with doing favors for the base 596 00:32:23,880 --> 00:32:26,600 Speaker 1: and for the activist wing and the ideological wing of 597 00:32:26,640 --> 00:32:29,240 Speaker 1: her party when she can, and when she knew she 598 00:32:29,320 --> 00:32:31,080 Speaker 1: had to. That's not to say Nancy Pelosi is some 599 00:32:31,120 --> 00:32:37,920 Speaker 1: sort of like virtuous beacon of progressive charity. Like her 600 00:32:37,960 --> 00:32:40,600 Speaker 1: relationship with the Ilhan Omar is a good example perfectly. 601 00:32:40,680 --> 00:32:43,480 Speaker 1: She calls her immediately after she wins. Omar is like, 602 00:32:43,720 --> 00:32:45,480 Speaker 1: I need a change in the House rules so that 603 00:32:45,520 --> 00:32:48,000 Speaker 1: I can wear a head covering on the floor. Otherwise 604 00:32:48,000 --> 00:32:50,000 Speaker 1: I won't be able to go onto the floor. She's like, 605 00:32:50,040 --> 00:32:51,600 Speaker 1: I got it for you. She call her every week 606 00:32:51,680 --> 00:32:53,800 Speaker 1: up until the election's like, I'm going to get this done. 607 00:32:54,320 --> 00:32:57,200 Speaker 1: She gets that done. And then when she was getting 608 00:32:57,200 --> 00:32:59,400 Speaker 1: in trouble for the Benjamins and for the other stuff, 609 00:32:59,480 --> 00:33:02,200 Speaker 1: she would call her and say, look, we're going to 610 00:33:02,240 --> 00:33:04,560 Speaker 1: put out a statement. I know where your heart is. 611 00:33:04,800 --> 00:33:07,160 Speaker 1: Here's here's my advice on how you can stop getting 612 00:33:07,200 --> 00:33:10,480 Speaker 1: caught up in your own axles like this right, don't 613 00:33:10,520 --> 00:33:12,400 Speaker 1: take this, don't take it personally. What we're going to 614 00:33:12,480 --> 00:33:15,520 Speaker 1: put out, and then invite it. When Trump came after her, 615 00:33:15,920 --> 00:33:19,040 Speaker 1: she called Omar and invited her on a trip to Ghana. 616 00:33:19,200 --> 00:33:21,560 Speaker 1: If you remember this, they so they went, you know, 617 00:33:21,600 --> 00:33:24,360 Speaker 1: Pelosi and Omar and then a handful of others and 618 00:33:24,680 --> 00:33:27,080 Speaker 1: spends time with her and so then when people are 619 00:33:27,080 --> 00:33:32,479 Speaker 1: coming to Omar and saying we need to overthrow Pelosi, uh, 620 00:33:32,880 --> 00:33:34,760 Speaker 1: you know we need to or you need to challenge 621 00:33:34,760 --> 00:33:38,520 Speaker 1: her on this, She's like we got to Ghana. She's 622 00:33:38,560 --> 00:33:41,920 Speaker 1: like she's had my back, like when people when people 623 00:33:41,960 --> 00:33:44,200 Speaker 1: have been coming after me. Yeah, well yeah, and to 624 00:33:44,200 --> 00:33:46,000 Speaker 1: some extent, you're ready. Like vibes are sort of a 625 00:33:46,000 --> 00:33:48,960 Speaker 1: pejorative in this context, but really truly like it matters 626 00:33:49,440 --> 00:33:51,440 Speaker 1: who people think that they can get the most out of. 627 00:33:51,520 --> 00:33:54,280 Speaker 1: So and if you want to bring stuff back to Minneapolis, 628 00:33:54,880 --> 00:33:57,760 Speaker 1: exactly having her on your side. Kevin McCarthy and Jim Jordan. 629 00:33:58,280 --> 00:34:01,200 Speaker 1: Jim Jordan sees Kevin McCarthy have a relationship. Kevin McCarthy 630 00:34:01,240 --> 00:34:04,000 Speaker 1: sees Jim Jordan as someone who can just be an 631 00:34:04,040 --> 00:34:08,440 Speaker 1: absolute bulldog on the Oversight Committee. This is back in 632 00:34:08,600 --> 00:34:11,279 Speaker 1: twenty eighteen, and Jim Jordan says, well, if I have 633 00:34:11,280 --> 00:34:13,200 Speaker 1: a good relationship with Kevin McCarthy, that's good for the 634 00:34:13,200 --> 00:34:16,440 Speaker 1: whole Freedom Caucus. Now that causes internal quibbling, but is 635 00:34:16,480 --> 00:34:20,880 Speaker 1: Hakim Jeffries going to be somebody who steps into these 636 00:34:21,040 --> 00:34:25,600 Speaker 1: massive shoes of Nancy Pelosi this legacy and says what 637 00:34:25,640 --> 00:34:29,279 Speaker 1: I'm going to do is stop prioritizing my attempt to 638 00:34:29,440 --> 00:34:33,000 Speaker 1: quash the squad and the progressive movement and recognize that 639 00:34:33,040 --> 00:34:35,239 Speaker 1: in order to advance the power of the party as 640 00:34:35,239 --> 00:34:37,960 Speaker 1: a whole. It's a give and take, which is a 641 00:34:38,080 --> 00:34:41,880 Speaker 1: very like that's a pivot from somebody whose priority is 642 00:34:41,920 --> 00:34:43,520 Speaker 1: doing the opposite. He's going to be pressured to do 643 00:34:44,480 --> 00:34:48,000 Speaker 1: to stay the course because he's extremely tied in with 644 00:34:48,520 --> 00:34:51,759 Speaker 1: APEC and with the pros or lobby here in the 645 00:34:51,840 --> 00:34:55,880 Speaker 1: United States, which their number one priority seems to be 646 00:34:55,960 --> 00:34:59,000 Speaker 1: to annihilate the left wing of the Democratic Party, and 647 00:34:59,040 --> 00:35:03,080 Speaker 1: he has worked in coordination with them against Summerly, against 648 00:35:03,080 --> 00:35:06,480 Speaker 1: Donna Edwards, against others. It's a fault line that when 649 00:35:06,520 --> 00:35:10,080 Speaker 1: you elevate him to this massive position of leadership, could 650 00:35:10,160 --> 00:35:14,960 Speaker 1: rupture into create a crater. Yeah, but the left wing 651 00:35:14,960 --> 00:35:17,080 Speaker 1: of the Democratic Party is so small it'd be like 652 00:35:17,120 --> 00:35:20,720 Speaker 1: a pothole. I don't know, I mean small. But AOC 653 00:35:20,880 --> 00:35:26,520 Speaker 1: is extremely high profile and influential, as is ilhan Omar Rashida. 654 00:35:26,560 --> 00:35:29,719 Speaker 1: Talib is also very high profile and influential, and we 655 00:35:29,719 --> 00:35:32,359 Speaker 1: could do an entire segment on how Rashida's leeb kind 656 00:35:32,360 --> 00:35:35,440 Speaker 1: of got boxed out and have that conversation too, But 657 00:35:35,880 --> 00:35:41,759 Speaker 1: we've been talking for a long time. We can move 658 00:35:41,800 --> 00:35:44,879 Speaker 1: on to the strike wave. That's right, quite a wave. Well, 659 00:35:45,320 --> 00:35:47,479 Speaker 1: I love strikes. There have been so many conversations about 660 00:35:47,480 --> 00:35:50,279 Speaker 1: how to define a wave recently that I don't know 661 00:35:50,360 --> 00:35:52,480 Speaker 1: if we need to get into it, because I think 662 00:35:52,480 --> 00:35:55,200 Speaker 1: it's probably fair to say this is one part of 663 00:35:55,239 --> 00:35:57,400 Speaker 1: a larger strikewave over the course of the last year 664 00:35:57,480 --> 00:35:59,480 Speaker 1: or so. So let's put up what do we go 665 00:35:59,600 --> 00:36:03,560 Speaker 1: to see one here Starbucks workers planning a strike calling 666 00:36:03,600 --> 00:36:06,359 Speaker 1: it Red Cup Day. Starbucks calls it Red Cup Day 667 00:36:06,440 --> 00:36:09,600 Speaker 1: right that they they give out it's one of their 668 00:36:10,880 --> 00:36:12,839 Speaker 1: on Red Cup Day, right when they hand out the 669 00:36:12,880 --> 00:36:16,760 Speaker 1: red reusable mugs. So much I've been going to Starbucks 670 00:36:16,800 --> 00:36:20,960 Speaker 1: lately right by customers, so it's one of the busiest 671 00:36:21,000 --> 00:36:26,359 Speaker 1: days of the year. And there again, this is eleven stores. Yeah, 672 00:36:26,440 --> 00:36:28,880 Speaker 1: it's it's a lot of stores. And obviously this is 673 00:36:28,920 --> 00:36:30,840 Speaker 1: part of a bigger thing that Starbucks has been dealing 674 00:36:30,840 --> 00:36:34,120 Speaker 1: with again for a little over a year, probably eighteen months, 675 00:36:34,120 --> 00:36:37,680 Speaker 1: and Howard Schultz actually stepped back into the role as 676 00:36:37,719 --> 00:36:40,120 Speaker 1: head of Starbucks after sort of flirting with a run 677 00:36:40,200 --> 00:36:45,840 Speaker 1: for presidency by going on the Goop podcast with Gwyneth Paltrow. Shockingly, 678 00:36:45,880 --> 00:36:49,799 Speaker 1: that didn't work out. But he's he's back, and he 679 00:36:50,040 --> 00:36:55,120 Speaker 1: is trying to crush the unionization drive at Starbucks badly. 680 00:36:55,719 --> 00:37:02,880 Speaker 1: So this probably doesn't make that any easier. Well, you know, 681 00:37:03,120 --> 00:37:04,800 Speaker 1: one of the things he's been doing has been closing 682 00:37:04,840 --> 00:37:09,120 Speaker 1: some stores, you know, when you know, if they get 683 00:37:09,800 --> 00:37:13,319 Speaker 1: to you know, if they're unionizing and and they're kind 684 00:37:13,360 --> 00:37:16,279 Speaker 1: of on the fault line of you know, making money 685 00:37:16,360 --> 00:37:18,879 Speaker 1: or not making money, you know, where maybe you would 686 00:37:18,960 --> 00:37:20,640 Speaker 1: keep it open. You're like, you know what, they got 687 00:37:20,680 --> 00:37:23,240 Speaker 1: a union and they lost money the last three months. 688 00:37:24,680 --> 00:37:27,080 Speaker 1: Let's get let's get rid of him. He's not messing around. Yeah, 689 00:37:27,120 --> 00:37:29,120 Speaker 1: he has come in with a very heavy hand and 690 00:37:29,160 --> 00:37:32,400 Speaker 1: done some like really typical tactics. For instance, saying that 691 00:37:32,560 --> 00:37:35,440 Speaker 1: sure we'll do benefit, we'll do more benefits. Oh yeah, 692 00:37:36,640 --> 00:37:40,160 Speaker 1: breaking all sorts of labor laws. Like it's just explicitly 693 00:37:40,200 --> 00:37:42,799 Speaker 1: saying like if you're not in a union and if 694 00:37:42,840 --> 00:37:45,239 Speaker 1: you don't support a union, then you get ex benefits, 695 00:37:45,560 --> 00:37:49,200 Speaker 1: Like you cannot do that, Like that's that's against the law. Right, 696 00:37:49,280 --> 00:37:53,359 Speaker 1: He's just like okay, arrest me, right. And the thing 697 00:37:53,360 --> 00:37:55,960 Speaker 1: about Starbucks. That's really interesting to me is I think 698 00:37:56,000 --> 00:37:59,480 Speaker 1: of it in the context of the underemployment rate around 699 00:37:59,480 --> 00:38:02,200 Speaker 1: the country, which I think affects a lot of Starbucks workers. Now, 700 00:38:02,239 --> 00:38:05,400 Speaker 1: Starbucks has really good benefits. In general, people have a 701 00:38:05,400 --> 00:38:07,080 Speaker 1: lot of problems with the way that they're scheduled in 702 00:38:07,120 --> 00:38:09,400 Speaker 1: different stores. They have a lot of problems now that 703 00:38:09,480 --> 00:38:12,000 Speaker 1: the technology over the course of COVID, I mean, everybody 704 00:38:12,080 --> 00:38:15,320 Speaker 1: is customizing their drinks to a freaking tea and mobile 705 00:38:15,400 --> 00:38:19,040 Speaker 1: ordering them. But also customers have gotten so much worse. Yeah, customers, 706 00:38:19,120 --> 00:38:22,360 Speaker 1: so this is and this is not good orders. But 707 00:38:22,400 --> 00:38:25,200 Speaker 1: they're just jerks, right, this is not ready, and I 708 00:38:25,320 --> 00:38:27,800 Speaker 1: just messing around. This is like The Washington Post followed 709 00:38:27,800 --> 00:38:30,560 Speaker 1: Howard Schultz around on a tour of all of these 710 00:38:30,560 --> 00:38:34,120 Speaker 1: different locations, and these big themes kept emerging when he 711 00:38:34,160 --> 00:38:37,880 Speaker 1: was talking to workers. Customers have gotten worse. It's impossible 712 00:38:37,920 --> 00:38:40,960 Speaker 1: for us to make these drinks as customized and as quickly. 713 00:38:41,320 --> 00:38:42,959 Speaker 1: So he said, all right, we can get some more 714 00:38:44,400 --> 00:38:46,400 Speaker 1: we can get some more machines that will help you 715 00:38:46,440 --> 00:38:49,040 Speaker 1: do this faster, and it'll be easier for everyone, and 716 00:38:49,080 --> 00:38:51,160 Speaker 1: you can spend more time talking to customers and getting 717 00:38:51,160 --> 00:38:53,440 Speaker 1: to know them is actually a thing, he said, because 718 00:38:53,440 --> 00:38:57,000 Speaker 1: his original vision for Starbucks was that it would be 719 00:38:57,080 --> 00:38:58,920 Speaker 1: kind of a community hub, that it would be this 720 00:38:59,120 --> 00:39:04,719 Speaker 1: calming oasis and a real sort of espresso experience. He 721 00:39:05,400 --> 00:39:08,400 Speaker 1: was inspired by the cafes of Italy to bring that 722 00:39:08,440 --> 00:39:10,640 Speaker 1: to the United States. And if you walk in near 723 00:39:11,000 --> 00:39:13,400 Speaker 1: local Starbucks, I don't know if you experience that, depending 724 00:39:13,440 --> 00:39:15,959 Speaker 1: on where you are anymore. But he has really pulled 725 00:39:16,000 --> 00:39:19,040 Speaker 1: out of the stop, out all the stops to quash 726 00:39:19,080 --> 00:39:23,440 Speaker 1: the unionization. But his workers, I mean again like he's 727 00:39:23,080 --> 00:39:27,760 Speaker 1: he offers tuition, he offers healthcare, but there are still 728 00:39:28,040 --> 00:39:31,680 Speaker 1: so many problems. And I think it's indicative of how 729 00:39:31,800 --> 00:39:35,360 Speaker 1: hard it is in the sort of way that people 730 00:39:35,440 --> 00:39:39,640 Speaker 1: our age or you're an older millennial technically, right X, 731 00:39:39,800 --> 00:39:43,479 Speaker 1: Oh you're gently okay, So that counts though, so young 732 00:39:43,880 --> 00:39:46,279 Speaker 1: gen X and millennials have been conditioned to see their 733 00:39:46,320 --> 00:39:50,680 Speaker 1: sort of career pathways and what that looks like when 734 00:39:50,760 --> 00:39:54,080 Speaker 1: you're twenty five and in a really bad situation. It 735 00:39:54,120 --> 00:39:58,600 Speaker 1: looks like getting screamed at, dealing with as Howard Schultz says, 736 00:39:58,600 --> 00:39:59,799 Speaker 1: I don't think we're gonna be able to keep our 737 00:39:59,800 --> 00:40:02,319 Speaker 1: backs rooms open. That's a huge complaint that workers have. 738 00:40:02,760 --> 00:40:05,000 Speaker 1: This I always reference to the Jacobin story that said 739 00:40:05,040 --> 00:40:09,279 Speaker 1: we're being asked to function as untrained social workers. I 740 00:40:09,320 --> 00:40:12,800 Speaker 1: mean that's a huge, huge concern, right, Yeah, And I 741 00:40:12,880 --> 00:40:15,240 Speaker 1: think people just want to feel a sense of dignity 742 00:40:15,239 --> 00:40:17,600 Speaker 1: while they're at work. And that's the thing that is 743 00:40:18,040 --> 00:40:22,560 Speaker 1: I think really driving the unionization campaigns. They don't they 744 00:40:22,760 --> 00:40:24,400 Speaker 1: they and I think they don't feel like they have 745 00:40:24,440 --> 00:40:28,600 Speaker 1: protections too. If you know, if if a customer complains, like, 746 00:40:28,680 --> 00:40:33,439 Speaker 1: let's let's lose, you mess up a drink order, you're 747 00:40:33,440 --> 00:40:36,280 Speaker 1: you're not as super polite to this super rude person 748 00:40:36,360 --> 00:40:39,399 Speaker 1: as as you should have been. They complain that you're 749 00:40:39,440 --> 00:40:41,680 Speaker 1: getting ducked and the manager's on you, like they want 750 00:40:41,680 --> 00:40:46,080 Speaker 1: some protections up against all these vicious forces that they're confronting, 751 00:40:46,480 --> 00:40:49,000 Speaker 1: because like like you said, people are still doing all 752 00:40:49,000 --> 00:40:51,760 Speaker 1: of their online orders that they were doing during the pandemic, 753 00:40:51,760 --> 00:40:54,000 Speaker 1: but people are also coming into the store. Yet you 754 00:40:54,040 --> 00:40:57,239 Speaker 1: have the same number of workers, So how's that work. 755 00:40:57,840 --> 00:41:00,480 Speaker 1: I would love to know what Howard Schultz is like 756 00:41:00,760 --> 00:41:04,040 Speaker 1: how closely and Starbucks in general thinks about the ingredients 757 00:41:04,040 --> 00:41:07,640 Speaker 1: that it uses in their food and this is like 758 00:41:07,760 --> 00:41:10,400 Speaker 1: industry wide, it wouldn't just be singling out Starbucks. But 759 00:41:10,400 --> 00:41:12,520 Speaker 1: a huge reason that the American people are miserable is 760 00:41:12,520 --> 00:41:16,680 Speaker 1: because of frankly, what they're eating a period, and that's 761 00:41:17,000 --> 00:41:19,239 Speaker 1: a huge role is played in that by the executives 762 00:41:19,239 --> 00:41:21,520 Speaker 1: who make these decisions. And Howard Schultz. I say that 763 00:41:21,600 --> 00:41:24,320 Speaker 1: because in the Washington Post profile of him that was 764 00:41:24,360 --> 00:41:27,879 Speaker 1: published last month, it's really interesting he wants to turn 765 00:41:28,000 --> 00:41:30,440 Speaker 1: all of the blame around from Starbucks to the culture 766 00:41:30,440 --> 00:41:33,640 Speaker 1: at large. And there's absolutely truth that it's getting harder 767 00:41:33,719 --> 00:41:37,440 Speaker 1: and harder to work in the service industry in this 768 00:41:37,960 --> 00:41:39,680 Speaker 1: country that we're all a part of, and in this 769 00:41:39,760 --> 00:41:42,719 Speaker 1: culture that we're all a part of that is increasingly miserable. 770 00:41:42,719 --> 00:41:44,839 Speaker 1: And again that's not just us sitting in this nice 771 00:41:44,840 --> 00:41:47,200 Speaker 1: studio and saying it. There's statistics that back up the 772 00:41:47,200 --> 00:41:50,200 Speaker 1: fact that our happiness has been going down. Arthur Brooks 773 00:41:50,239 --> 00:41:52,160 Speaker 1: has put these statistics together and you should go check 774 00:41:52,160 --> 00:41:54,239 Speaker 1: them out. So it's of course going to get harder 775 00:41:54,239 --> 00:41:56,520 Speaker 1: and harder for people in the service industry to exist 776 00:41:56,520 --> 00:41:59,080 Speaker 1: in the service industry. And one of the ways that 777 00:41:59,239 --> 00:42:02,320 Speaker 1: corporate executive can start dealing with that, they're just tinkering 778 00:42:02,320 --> 00:42:03,879 Speaker 1: around the edges. That's all they want to do. They 779 00:42:03,880 --> 00:42:07,080 Speaker 1: want to quash the unionization, throw some more like superficial 780 00:42:07,080 --> 00:42:09,440 Speaker 1: benefits people's way, and not deal with any of the 781 00:42:09,440 --> 00:42:12,840 Speaker 1: fundamental issues because that would be a serious blow to 782 00:42:12,840 --> 00:42:16,720 Speaker 1: their bottom line. God forbid. Right, And anybody who's watching 783 00:42:16,719 --> 00:42:18,880 Speaker 1: this who works in the service industry understands that they 784 00:42:18,880 --> 00:42:20,680 Speaker 1: don't need us telling them that. But if you don't 785 00:42:20,760 --> 00:42:23,880 Speaker 1: work in it, stop taking your frustration out on people 786 00:42:24,000 --> 00:42:29,160 Speaker 1: at Starbucks, at restaurants, at it just it's don't do 787 00:42:29,239 --> 00:42:31,279 Speaker 1: it well. They don't want to hear it either, like 788 00:42:31,760 --> 00:42:34,480 Speaker 1: they're not your problem, right, right. And people are stressed. 789 00:42:34,480 --> 00:42:36,239 Speaker 1: I mean people are just stressed in the country. And 790 00:42:36,280 --> 00:42:38,920 Speaker 1: that's what Howard Schultz came away from this listening tour with. 791 00:42:39,000 --> 00:42:41,360 Speaker 1: And we can just quickly pop C two up on 792 00:42:41,400 --> 00:42:44,200 Speaker 1: the screen because I think it's relevant too, especially in 793 00:42:44,239 --> 00:42:47,080 Speaker 1: that kind of broader context. Forty eight thousand California academic 794 00:42:47,080 --> 00:42:51,400 Speaker 1: workers strike for higher wages. So this is grad students 795 00:42:52,360 --> 00:42:55,800 Speaker 1: all over California that are striking. They say they're making 796 00:42:56,080 --> 00:42:58,640 Speaker 1: like and actually you see right there, we make about 797 00:42:58,640 --> 00:43:00,560 Speaker 1: twenty three thousand dollars a year. This is a quote 798 00:43:00,560 --> 00:43:03,880 Speaker 1: from the story and that's unlivable in many parts of California. 799 00:43:04,160 --> 00:43:07,239 Speaker 1: That's from one of the a graduate student in the 800 00:43:07,280 --> 00:43:10,840 Speaker 1: history department at U see Santa Barbara, who was talking 801 00:43:10,960 --> 00:43:15,400 Speaker 1: to Al Jazeera. That person is the recording secretary for 802 00:43:15,440 --> 00:43:18,719 Speaker 1: the Santa Barbara branch of the UAW. And that's one 803 00:43:18,760 --> 00:43:23,680 Speaker 1: of the unions representing the academic workers, which you know, 804 00:43:23,800 --> 00:43:26,879 Speaker 1: that's how that works out. But in this context, Rian, 805 00:43:27,080 --> 00:43:31,680 Speaker 1: you've probably covered a decent amount of grad student unionization drive. 806 00:43:31,760 --> 00:43:34,080 Speaker 1: Its actually in one oh you are yes, all right, 807 00:43:34,120 --> 00:43:36,560 Speaker 1: So what do you make of this? This is I mean, 808 00:43:36,640 --> 00:43:38,360 Speaker 1: that's like we said, tens of thousands of people in 809 00:43:38,360 --> 00:43:40,920 Speaker 1: California right now. I went to University of Maryland for 810 00:43:41,360 --> 00:43:43,880 Speaker 1: grad school and we had an organizing drive. It ultimately failed, 811 00:43:45,680 --> 00:43:48,080 Speaker 1: but I had I think ninety eight percent card signers 812 00:43:48,120 --> 00:43:51,080 Speaker 1: in my school. I was in the public policy school, 813 00:43:51,360 --> 00:43:54,200 Speaker 1: so I was I was proud of that. It was 814 00:43:54,640 --> 00:43:58,040 Speaker 1: and it was a lot of fun, like because you 815 00:43:58,080 --> 00:44:02,680 Speaker 1: could see how the different like graduate students would respond 816 00:44:02,719 --> 00:44:06,840 Speaker 1: to you, Like when I would be organizing history grad students, 817 00:44:06,880 --> 00:44:09,759 Speaker 1: I'd be getting a history of the labor union. If 818 00:44:09,840 --> 00:44:12,720 Speaker 1: if I was in the philosophy department. I'd be getting, 819 00:44:12,880 --> 00:44:17,319 Speaker 1: you know, what is a union? What is solidarity? Which 820 00:44:18,080 --> 00:44:21,399 Speaker 1: when I was in chemistry, any of the sciences, the math, 821 00:44:21,520 --> 00:44:23,879 Speaker 1: I would just explain it to them and they'd be like, oh, 822 00:44:24,280 --> 00:44:28,520 Speaker 1: like more power, better wages, more protection. Okay, yes, right, 823 00:44:28,520 --> 00:44:31,439 Speaker 1: the math works out the number, the numbers. Yes, They're like, yes, 824 00:44:31,680 --> 00:44:33,200 Speaker 1: we're for that. All all you base say to do 825 00:44:33,480 --> 00:44:37,239 Speaker 1: it would take five minutes. On the on the hard sciences, chemicide, 826 00:44:37,239 --> 00:44:41,440 Speaker 1: all of that, the literature people, the philosophy, the philosophers 827 00:44:41,520 --> 00:44:47,200 Speaker 1: just impossible, just absolutely impossible, right, public policy, and they're like, yeah, yeah, sure, 828 00:44:48,000 --> 00:44:50,680 Speaker 1: let's do that. So in California, they're saying they're demanding 829 00:44:50,760 --> 00:44:52,720 Speaker 1: a wage that's something over I think it's like fifty 830 00:44:52,719 --> 00:44:56,160 Speaker 1: four thousand dollars a year, which, again, like California is 831 00:44:56,200 --> 00:45:00,400 Speaker 1: a stupidly expensive place to live, I mean just stupidly expensive. 832 00:45:00,400 --> 00:45:02,960 Speaker 1: It is driven the middle class out of California. And 833 00:45:03,040 --> 00:45:06,799 Speaker 1: I think one of the reasons the strikes at these 834 00:45:06,800 --> 00:45:11,719 Speaker 1: schools is interesting is because that's the policies of the 835 00:45:11,800 --> 00:45:15,400 Speaker 1: sort of party that is a kind of a patron 836 00:45:15,800 --> 00:45:19,520 Speaker 1: of organized labor in California that the Democratic Party has 837 00:45:19,520 --> 00:45:22,040 Speaker 1: made it extremely expensive to live in California because it's 838 00:45:22,040 --> 00:45:23,960 Speaker 1: beholding the corporate interests in the same way that the 839 00:45:23,960 --> 00:45:27,799 Speaker 1: Republican Party in California is beholding the corporate interests. California 840 00:45:27,880 --> 00:45:32,840 Speaker 1: is a corporatized almost dystopia in certain parts of it. 841 00:45:32,880 --> 00:45:37,319 Speaker 1: And again, like these these broader forces. People are just like, 842 00:45:37,680 --> 00:45:40,480 Speaker 1: why are these white collar unions popping up? And it's 843 00:45:40,480 --> 00:45:44,319 Speaker 1: like because things are miserable. Yeah, like you can't afford 844 00:45:44,320 --> 00:45:48,160 Speaker 1: to it's too d high. The rent is too damn high. 845 00:45:48,200 --> 00:45:53,120 Speaker 1: So we've got a fun little FTX update. Ryan, I'm 846 00:45:53,200 --> 00:45:55,600 Speaker 1: so excited about this because of the text message or 847 00:45:55,600 --> 00:45:59,799 Speaker 1: the DMS. The DMS Yes, so I've hear him called 848 00:45:59,840 --> 00:46:03,000 Speaker 1: now Sam Bank Run Fraud, which is pretty good. It's 849 00:46:03,040 --> 00:46:07,080 Speaker 1: still SPF SBF Sam Bank Run Fraud. The former CEO 850 00:46:07,120 --> 00:46:11,920 Speaker 1: of FTX did an interview with a reporter at Vox 851 00:46:12,040 --> 00:46:16,040 Speaker 1: which he was funding a future Perfect Future something, you 852 00:46:16,080 --> 00:46:19,279 Speaker 1: know section of Vox. We can put d one up 853 00:46:19,360 --> 00:46:22,880 Speaker 1: on the screen. The reporter was so the so the 854 00:46:22,920 --> 00:46:27,640 Speaker 1: reporter DMed him too. I had this up here. It 855 00:46:27,760 --> 00:46:30,840 Speaker 1: is to see and the part that I wanted to 856 00:46:31,080 --> 00:46:33,759 Speaker 1: focus on the entire the entire text exchange that she 857 00:46:33,800 --> 00:46:37,319 Speaker 1: publishes is just absolutely extraordinary. This is a guy who 858 00:46:37,360 --> 00:46:41,200 Speaker 1: was sitting in a bean bag in the Bahamas just 859 00:46:41,200 --> 00:46:43,840 Speaker 1: just incriminating himself all up and down, like just in 860 00:46:43,880 --> 00:46:48,239 Speaker 1: an incredible way. But he also indicted all of society 861 00:46:48,320 --> 00:46:52,240 Speaker 1: with this one exchange. And so she's she's asking him 862 00:46:52,800 --> 00:46:56,840 Speaker 1: about his effective altruism and all all of the like 863 00:46:57,200 --> 00:47:00,640 Speaker 1: good works and all the talk to he was doing 864 00:47:00,640 --> 00:47:02,759 Speaker 1: about making the world a better place and you know, 865 00:47:02,840 --> 00:47:05,480 Speaker 1: you know, just wanting wanting the best for for everybody. 866 00:47:05,480 --> 00:47:07,759 Speaker 1: It's really what he's he's all about. And she's she 867 00:47:07,880 --> 00:47:11,160 Speaker 1: starts making money to give away money. That's the abjective altruism. 868 00:47:11,160 --> 00:47:13,360 Speaker 1: And she starts to see that. He's like, She's like, 869 00:47:13,400 --> 00:47:15,200 Speaker 1: so wait, so was all of this just a front? 870 00:47:15,239 --> 00:47:17,120 Speaker 1: And he's like, yeah, it was a front. And then 871 00:47:17,160 --> 00:47:20,120 Speaker 1: she asked him. She says, uh, She just says, you 872 00:47:20,120 --> 00:47:23,319 Speaker 1: were really good at talking about ethics for someone who 873 00:47:23,400 --> 00:47:25,560 Speaker 1: kind of saw it as all a game with winners 874 00:47:25,600 --> 00:47:30,000 Speaker 1: and losers. And he writes back, yeah, he he I 875 00:47:30,120 --> 00:47:32,839 Speaker 1: had to be. It's what reputations are made of. To 876 00:47:32,880 --> 00:47:35,719 Speaker 1: some extent, I feel bad for those who get ft 877 00:47:35,800 --> 00:47:39,040 Speaker 1: by it by this dumb game we woke Westerners play 878 00:47:39,200 --> 00:47:41,960 Speaker 1: where we say all the right shibbals and so everyone 879 00:47:42,120 --> 00:47:44,800 Speaker 1: likes us. Shut the hell up, dude, seriously, because that's what. 880 00:47:44,840 --> 00:47:47,439 Speaker 1: Don't you want him exposing this? No? I mean, well, yes, 881 00:47:47,480 --> 00:47:49,520 Speaker 1: of course to that, right, but like it is so 882 00:47:49,800 --> 00:47:56,439 Speaker 1: incredibly shameless because he's also like exposing the people who 883 00:47:56,520 --> 00:47:58,480 Speaker 1: aren't in on it, right, So how many times did 884 00:47:58,480 --> 00:48:00,560 Speaker 1: the media In fact, he's actually still scared to speak 885 00:48:00,560 --> 00:48:03,560 Speaker 1: at a New York Times event this month for like 886 00:48:03,600 --> 00:48:05,759 Speaker 1: Top Thinkers, which I'm going to talk about my monologue. 887 00:48:05,800 --> 00:48:09,600 Speaker 1: But that's what's amazing, right, is he understands what he 888 00:48:09,719 --> 00:48:12,840 Speaker 1: was doing, and he's exposing himself as being completely shameless. 889 00:48:13,000 --> 00:48:15,520 Speaker 1: But the media was covering him as though he was 890 00:48:15,520 --> 00:48:17,960 Speaker 1: on the cover of What Fortune, as though he was 891 00:48:18,040 --> 00:48:20,520 Speaker 1: like he was being talked of as JP Morgan, this 892 00:48:20,560 --> 00:48:22,719 Speaker 1: guy that was snatching up all the feelings and just 893 00:48:22,760 --> 00:48:28,480 Speaker 1: like organizing and helping everyone save the industry basically. And 894 00:48:28,719 --> 00:48:31,839 Speaker 1: here he is saying these text messages f regulators, they 895 00:48:31,840 --> 00:48:35,160 Speaker 1: make everything worse, they don't protect customers at all. And 896 00:48:35,200 --> 00:48:37,600 Speaker 1: so yeah, at the end of the day, he's exposing 897 00:48:37,640 --> 00:48:41,040 Speaker 1: that it's basically all about money. It's a smoke screen 898 00:48:41,160 --> 00:48:43,080 Speaker 1: to make more and more and more money. But we 899 00:48:43,080 --> 00:48:46,319 Speaker 1: were told for how long that if you disagreed with 900 00:48:46,440 --> 00:48:49,640 Speaker 1: effective altruism, and what did he say in the West, 901 00:48:49,719 --> 00:48:53,279 Speaker 1: the shibblists that we all have to abide by, which 902 00:48:53,320 --> 00:48:57,480 Speaker 1: in this case is the full pantheon of like cultural 903 00:48:57,560 --> 00:48:59,759 Speaker 1: leftism that you couldn't say a word against in twenty 904 00:48:59,800 --> 00:49:02,000 Speaker 1: two money. If you did say a word against it, 905 00:49:02,400 --> 00:49:05,120 Speaker 1: you were a bigot. You were a bad person. You 906 00:49:05,160 --> 00:49:08,720 Speaker 1: weren't just a political disagreement. You were a bad person. 907 00:49:08,800 --> 00:49:11,160 Speaker 1: And there were billions of dollars built on the back 908 00:49:11,239 --> 00:49:13,920 Speaker 1: of that effort, and it has gone a long way 909 00:49:13,920 --> 00:49:17,920 Speaker 1: towards just utterly destroying the country. So, while somewhat gratifying 910 00:49:18,280 --> 00:49:22,799 Speaker 1: to watch him crumble, it's also just profoundly sad. And 911 00:49:23,000 --> 00:49:25,920 Speaker 1: he's also an idiot. Do you know how many do 912 00:49:25,920 --> 00:49:30,200 Speaker 1: you know how MANYDI and FDIC insured bank accounts have 913 00:49:30,320 --> 00:49:34,480 Speaker 1: gone bust since the FDIC was created, Like zero, Like 914 00:49:35,040 --> 00:49:40,360 Speaker 1: nobody who had money in an FDIC insured account since 915 00:49:40,400 --> 00:49:42,279 Speaker 1: it was created after the New Deal during the New 916 00:49:42,320 --> 00:49:46,520 Speaker 1: Deal has lost a single penny. So what do you 917 00:49:46,600 --> 00:49:51,719 Speaker 1: mean regulators don't protect customers like it's just idiotically. Well, 918 00:49:51,760 --> 00:49:55,360 Speaker 1: you know that his father helped Elizabeth Warren write a 919 00:49:55,440 --> 00:49:57,719 Speaker 1: tax bill, Like he comes from a family of people 920 00:49:57,719 --> 00:50:00,239 Speaker 1: who are politically involved, and I think that's what where 921 00:50:00,400 --> 00:50:04,040 Speaker 1: he got a lot of his cachet his his mother's 922 00:50:04,560 --> 00:50:09,120 Speaker 1: Barbara Fried and then obviously his dad is bankman, and 923 00:50:09,280 --> 00:50:12,560 Speaker 1: both of them in their own rights are very were 924 00:50:13,360 --> 00:50:16,880 Speaker 1: very well respected kind of rockstar academics, because academic is 925 00:50:16,920 --> 00:50:20,440 Speaker 1: this weird hierarchical place too where you can rise up 926 00:50:20,480 --> 00:50:24,720 Speaker 1: to like rock star status. And they had the poignant 927 00:50:24,800 --> 00:50:29,560 Speaker 1: part about this, this this last quote here though, is 928 00:50:29,560 --> 00:50:31,560 Speaker 1: by this dumb game we woke Westerners play where we 929 00:50:31,600 --> 00:50:33,640 Speaker 1: say all the right shibless and so everyone likes us. 930 00:50:34,239 --> 00:50:38,160 Speaker 1: His parents are effective altruists, like they're the ones who 931 00:50:38,239 --> 00:50:40,719 Speaker 1: taught him these shibbalists. And that part at the end 932 00:50:41,280 --> 00:50:43,440 Speaker 1: where he says everyone likes us, I thought of his 933 00:50:43,560 --> 00:50:47,239 Speaker 1: parents and and him just being a child wanting the 934 00:50:47,280 --> 00:50:49,920 Speaker 1: approval and love of his parents. He so he speaks 935 00:50:50,520 --> 00:50:53,200 Speaker 1: this like language that they've that they've taught him. And 936 00:50:53,239 --> 00:50:54,960 Speaker 1: then then that was the first time I ever kind 937 00:50:55,000 --> 00:50:57,520 Speaker 1: of like felt like some pity on a human level. 938 00:50:57,560 --> 00:51:01,200 Speaker 1: It's like, wow, what a wound ever in my life, No, 939 00:51:01,360 --> 00:51:05,400 Speaker 1: but for him right, like what a wounded child. I 940 00:51:05,440 --> 00:51:08,080 Speaker 1: thought when he said that of Elizabeth Holmes. Immediately I 941 00:51:08,080 --> 00:51:10,640 Speaker 1: thought of Elizabeth Holmes. And actually another thing you can 942 00:51:10,680 --> 00:51:12,480 Speaker 1: still see on the New York Times website for this 943 00:51:12,520 --> 00:51:15,840 Speaker 1: deal book summit that what's his name, Andrew Ross Sorkin 944 00:51:15,920 --> 00:51:18,719 Speaker 1: has been involved with for years. They brag about some 945 00:51:18,800 --> 00:51:22,120 Speaker 1: of their former speakers, and one of them is Adam Newman. 946 00:51:22,719 --> 00:51:26,600 Speaker 1: Adam Newman, Elizabeth Holmes, Sam Bankman, Freed. You go down 947 00:51:26,600 --> 00:51:30,000 Speaker 1: the list. But these are people that the media feted. 948 00:51:30,360 --> 00:51:33,160 Speaker 1: The media served them to us on a silver platter, 949 00:51:33,560 --> 00:51:37,440 Speaker 1: did advertising for them, essentially not being forced to do 950 00:51:37,520 --> 00:51:41,000 Speaker 1: advertising for them, but for their own purposes. The media 951 00:51:41,120 --> 00:51:44,879 Speaker 1: boosted these effective altruists, these people who said they were 952 00:51:44,880 --> 00:51:48,600 Speaker 1: going to change the world and make money to give 953 00:51:48,640 --> 00:51:50,800 Speaker 1: the money back, and they were all doing this in 954 00:51:50,840 --> 00:51:53,880 Speaker 1: the name of the common good, et cetera, et cetera, 955 00:51:54,120 --> 00:51:57,440 Speaker 1: And all it was was an intentional deception. That's it. 956 00:51:58,000 --> 00:52:01,839 Speaker 1: Effective altruism is an attempt to justify inequality, to say 957 00:52:01,880 --> 00:52:06,080 Speaker 1: that the inequality exists, but it's a good thing because 958 00:52:06,320 --> 00:52:09,560 Speaker 1: it's it's shepherding all of these resources to these people 959 00:52:09,560 --> 00:52:12,360 Speaker 1: who have proven by the way that they have you know, 960 00:52:12,440 --> 00:52:14,200 Speaker 1: fought and clawed their way to the top, that they 961 00:52:14,280 --> 00:52:16,760 Speaker 1: are the most effective and the smartest people in society, 962 00:52:17,080 --> 00:52:20,040 Speaker 1: and that they then have this obligation to distribute the 963 00:52:20,080 --> 00:52:22,920 Speaker 1: money around rather than we should collectively come together and say, 964 00:52:22,920 --> 00:52:24,960 Speaker 1: you know what, how about a much higher tax rate 965 00:52:25,000 --> 00:52:28,160 Speaker 1: for these these billionaires. And so they would say, actually, no, 966 00:52:28,280 --> 00:52:30,960 Speaker 1: you need more the billionaires like me need more money 967 00:52:31,200 --> 00:52:33,840 Speaker 1: because I am going to be so good at distributing 968 00:52:33,880 --> 00:52:36,839 Speaker 1: it actually distributed or I don't know if we've gotten 969 00:52:36,840 --> 00:52:39,359 Speaker 1: any of it. He distributed some of it to the Intercept. Yes, 970 00:52:40,920 --> 00:52:43,200 Speaker 1: we take foundation money. Yeah, and he's got and he's 971 00:52:43,200 --> 00:52:46,799 Speaker 1: got a foundation. It was relatively new. I don't even 972 00:52:46,840 --> 00:52:50,200 Speaker 1: know if the first like check cleared before like the 973 00:52:50,239 --> 00:52:54,759 Speaker 1: whole thing is just completely grumbled and blows up. So 974 00:52:54,760 --> 00:52:57,040 Speaker 1: I assume that that's not coming well. It's a good 975 00:52:57,040 --> 00:53:00,640 Speaker 1: example also though, because I don't think he expected to 976 00:53:00,800 --> 00:53:04,720 Speaker 1: exert any pressure over the Intercepts coverage of crypto, I think, 977 00:53:05,440 --> 00:53:08,160 Speaker 1: or Vox's coverage of crypto. But I think it wonder 978 00:53:08,239 --> 00:53:11,799 Speaker 1: so I think so he what what the found the 979 00:53:11,800 --> 00:53:14,600 Speaker 1: foundation focused on, Like pandemic stuff. And so what they 980 00:53:14,600 --> 00:53:16,560 Speaker 1: did is they find they were they were like, you 981 00:53:16,560 --> 00:53:19,439 Speaker 1: guys are doing great work on the nih On Eco 982 00:53:19,480 --> 00:53:22,600 Speaker 1: Health Alliance, on lab League on pandemic stuff. Here's extra 983 00:53:22,640 --> 00:53:26,120 Speaker 1: money to continue doing that that sort of work. So 984 00:53:26,160 --> 00:53:29,080 Speaker 1: I think the people obviously the people that the foundation 985 00:53:29,239 --> 00:53:34,120 Speaker 1: hires to go spend this money, but they actually care 986 00:53:34,160 --> 00:53:35,920 Speaker 1: about this and they and they want that to happen. 987 00:53:36,320 --> 00:53:40,280 Speaker 1: I think, I mean, clearly he doesn't believe in this stuff, 988 00:53:40,280 --> 00:53:42,880 Speaker 1: but it's all it's all fake. I think his hope 989 00:53:42,960 --> 00:53:45,080 Speaker 1: is that he just if he just spreads enough money 990 00:53:45,239 --> 00:53:48,839 Speaker 1: exactly across the entire world, that if when he gets 991 00:53:48,880 --> 00:53:52,080 Speaker 1: into some trouble, that he'll have his hooks in people 992 00:53:52,480 --> 00:53:54,319 Speaker 1: and they might be a little bit gentler on him. 993 00:53:54,320 --> 00:53:58,399 Speaker 1: Now you fall like cataclysmically like this from Grace, then 994 00:53:58,640 --> 00:54:01,320 Speaker 1: your hooks are all yanked out. Well. Also, he clearly 995 00:54:01,360 --> 00:54:03,920 Speaker 1: doesn't give a damn as long as he's making money. 996 00:54:03,960 --> 00:54:08,719 Speaker 1: He clearly didn't care. And that's the thing, because this 997 00:54:08,800 --> 00:54:10,680 Speaker 1: was all a smoke screen, and he says it over 998 00:54:10,719 --> 00:54:12,719 Speaker 1: and over again, all the dumb stuff. I said. That's 999 00:54:12,719 --> 00:54:14,480 Speaker 1: when one of these text messages which you can go 1000 00:54:14,600 --> 00:54:17,000 Speaker 1: read them or dms. You can go read them at Box. 1001 00:54:17,200 --> 00:54:19,680 Speaker 1: He continued to go back and forth with his Box journalists, 1002 00:54:19,719 --> 00:54:21,640 Speaker 1: who had previously been writing a profile on him so 1003 00:54:21,719 --> 00:54:24,960 Speaker 1: had an existing relationship. But when all of this is crumbling, 1004 00:54:25,320 --> 00:54:28,680 Speaker 1: he's just talking to this one reporter over direct messages. 1005 00:54:29,320 --> 00:54:32,280 Speaker 1: And I think it is a longer game because everything, 1006 00:54:32,719 --> 00:54:34,919 Speaker 1: every single piece that we wrote about him, that ever 1007 00:54:35,000 --> 00:54:38,439 Speaker 1: mentioned him was negative, exactly exactly. But I think he's 1008 00:54:38,480 --> 00:54:41,319 Speaker 1: okay with that, like these these super rich people are 1009 00:54:41,320 --> 00:54:43,759 Speaker 1: okay with that. They're like because because they're trying to 1010 00:54:43,800 --> 00:54:48,399 Speaker 1: capture the entire system and the small low people are 1011 00:54:48,440 --> 00:54:50,600 Speaker 1: like criticizing them along the way, and they're like, that's fine. 1012 00:54:50,960 --> 00:54:54,680 Speaker 1: The one broad point that I'll make here is people 1013 00:54:54,719 --> 00:54:57,359 Speaker 1: have done analyses on what are called super zips from 1014 00:54:57,440 --> 00:54:59,480 Speaker 1: the nineteen sixties too. I think with the last time 1015 00:54:59,520 --> 00:55:01,720 Speaker 1: this was in coming apart must have been like twenty twelve, 1016 00:55:02,200 --> 00:55:05,600 Speaker 1: and you can go and look at how people lived 1017 00:55:05,640 --> 00:55:09,160 Speaker 1: together in the same communities despite having like pretty dramatic 1018 00:55:09,280 --> 00:55:12,120 Speaker 1: income differences in the past, and how they do it now. 1019 00:55:12,520 --> 00:55:15,640 Speaker 1: And it's a very big golf between how we used 1020 00:55:15,640 --> 00:55:18,280 Speaker 1: to live and how we live now. And so people 1021 00:55:18,320 --> 00:55:21,759 Speaker 1: like Sam Bankman Free. The ultrue rich really don't know 1022 00:55:22,000 --> 00:55:24,319 Speaker 1: regular people, and so his idea that he's just going 1023 00:55:24,400 --> 00:55:26,759 Speaker 1: to dress like an average Joe or Marcus Zuckerberg's just 1024 00:55:26,760 --> 00:55:30,280 Speaker 1: going to dress like an average Joe. It's it's always 1025 00:55:30,320 --> 00:55:32,480 Speaker 1: been sort of I think it's kind of projection, right 1026 00:55:32,560 --> 00:55:35,000 Speaker 1: that like I can pretend to be normal, I can 1027 00:55:35,040 --> 00:55:38,360 Speaker 1: be normal in some way or another. But what they're 1028 00:55:38,400 --> 00:55:41,880 Speaker 1: doing is saying we're going to use our inequality to 1029 00:55:42,080 --> 00:55:44,399 Speaker 1: fix inequality, et cetera, et cetera. But they never want 1030 00:55:44,440 --> 00:55:48,960 Speaker 1: to do anything anything that actually would cut into like 1031 00:55:49,200 --> 00:55:51,279 Speaker 1: change the tax code. Let's say, say you you can 1032 00:55:51,320 --> 00:55:53,640 Speaker 1: stop so you can stop cheating on your taxes, like 1033 00:55:53,719 --> 00:55:56,279 Speaker 1: not cheating, but you can stop gaming the tax code 1034 00:55:56,360 --> 00:55:58,160 Speaker 1: in your life. From their perspective, if you're so good 1035 00:55:58,200 --> 00:56:01,080 Speaker 1: at gaming the tax code, then you deserve that money 1036 00:56:01,080 --> 00:56:03,279 Speaker 1: and you're probably gonna then spend it better than the 1037 00:56:03,280 --> 00:56:05,880 Speaker 1: government would. It's it's what Trump said Clinton, and she 1038 00:56:06,080 --> 00:56:08,120 Speaker 1: was like he changed all his taxes and he was like, 1039 00:56:08,160 --> 00:56:10,919 Speaker 1: that makes me smart. And the difference between Donald Trump 1040 00:56:10,920 --> 00:56:14,479 Speaker 1: and Sam Bakeman Freed is that Donald Trump will say 1041 00:56:14,480 --> 00:56:17,080 Speaker 1: this not just in DMS, but in a presidential debate 1042 00:56:17,320 --> 00:56:19,960 Speaker 1: where saying Sam Bakeman Frieda is out there talking about 1043 00:56:20,000 --> 00:56:22,759 Speaker 1: how he's just doing this for the greater good, give 1044 00:56:22,800 --> 00:56:25,040 Speaker 1: me a break. And that's where you get people drawn 1045 00:56:25,120 --> 00:56:29,839 Speaker 1: to Donald Trump, right, because we also know instinctively, intuitively 1046 00:56:30,080 --> 00:56:32,200 Speaker 1: that all the people that are at these met galos 1047 00:56:32,200 --> 00:56:35,160 Speaker 1: and at these all the entire kind of gala circuit 1048 00:56:35,160 --> 00:56:37,720 Speaker 1: in New York City, they don't know what they barely 1049 00:56:37,760 --> 00:56:40,560 Speaker 1: know what the cause is for that dinner. No that 1050 00:56:40,560 --> 00:56:45,600 Speaker 1: they're that they're going to, right, dude, how much some 1051 00:56:45,680 --> 00:56:47,680 Speaker 1: of them like the opera, others are just you're just 1052 00:56:47,719 --> 00:56:49,560 Speaker 1: supposed to pay for the opera. You just give the 1053 00:56:49,600 --> 00:56:51,759 Speaker 1: money of the opera. That's what you do. This is 1054 00:56:51,760 --> 00:56:54,040 Speaker 1: one of the first where he just says it outright. 1055 00:56:54,239 --> 00:56:57,000 Speaker 1: The best example was just a front. The best example 1056 00:56:57,000 --> 00:56:59,560 Speaker 1: of that is the Black Lives Matter Global Foundation, which 1057 00:56:59,640 --> 00:57:03,239 Speaker 1: if you you are somebody who is a donor of 1058 00:57:03,360 --> 00:57:07,600 Speaker 1: multi millions of dollars, you would pause before giving that 1059 00:57:07,640 --> 00:57:10,719 Speaker 1: group money because they were opaque in ways that were 1060 00:57:10,760 --> 00:57:13,719 Speaker 1: sketchy from the very beginning, and that has now all crumpled. 1061 00:57:13,920 --> 00:57:17,000 Speaker 1: But they raked in tens of millions of dollars from 1062 00:57:17,000 --> 00:57:18,840 Speaker 1: people like Sam bankman Freed. I don't know if he 1063 00:57:18,880 --> 00:57:21,400 Speaker 1: gave specifically, but in twenty years rich enough by then 1064 00:57:21,480 --> 00:57:23,400 Speaker 1: he he just that's the other reason he got so 1065 00:57:23,480 --> 00:57:27,040 Speaker 1: much media coverage. He was like, nobody buys a bitcoin 1066 00:57:27,280 --> 00:57:29,720 Speaker 1: turns it into thirty billion dollars like overnight. Yeah, so 1067 00:57:29,800 --> 00:57:31,560 Speaker 1: the meat is just gonna be fascinated by that. And 1068 00:57:31,560 --> 00:57:33,840 Speaker 1: they're like, oh, when your parents are famous, fascinated but 1069 00:57:33,920 --> 00:57:36,640 Speaker 1: also like very favorable to it in a creepy Oh. 1070 00:57:36,680 --> 00:57:38,680 Speaker 1: And you're giving money to Democrats, yeah, the one and 1071 00:57:38,720 --> 00:57:40,760 Speaker 1: against progress, like that's the thing. A lot of his 1072 00:57:40,840 --> 00:57:43,360 Speaker 1: money that he was spending for Democrats was in primaries 1073 00:57:43,640 --> 00:57:46,640 Speaker 1: against progressive Democrats, and Stoller has pointed out that his 1074 00:57:46,720 --> 00:57:49,200 Speaker 1: business partner was given big to Republicans too, So this 1075 00:57:49,320 --> 00:57:51,480 Speaker 1: idea that they were it was just all a dem 1076 00:57:51,600 --> 00:57:53,880 Speaker 1: grift I think is a little off the mark, although 1077 00:57:53,920 --> 00:57:57,360 Speaker 1: he definitely want money to Democrats, but the point is, 1078 00:57:57,400 --> 00:58:00,320 Speaker 1: like he does, like it's it's a virtue. This millions 1079 00:58:00,360 --> 00:58:04,160 Speaker 1: and millions of dollars that empowered I think some destructive 1080 00:58:04,400 --> 00:58:07,520 Speaker 1: forces in our culture was a smoke screen for corporatists 1081 00:58:07,600 --> 00:58:13,120 Speaker 1: to make an f ton of money. Basically great as 1082 00:58:13,160 --> 00:58:15,440 Speaker 1: that was that. Let's move on to the DHS. This 1083 00:58:15,520 --> 00:58:17,800 Speaker 1: is an interesting story that actually hasn't got a ton 1084 00:58:17,840 --> 00:58:20,880 Speaker 1: of pick up. We can put the first element up 1085 00:58:20,880 --> 00:58:24,280 Speaker 1: on the screen. One. It's from Gizmoto, which did a 1086 00:58:24,280 --> 00:58:27,200 Speaker 1: long report on another report that was released by or 1087 00:58:27,240 --> 00:58:31,040 Speaker 1: made public by Senator Ron Wyden recently. This is the headline, 1088 00:58:31,080 --> 00:58:34,760 Speaker 1: Homeland Security admits it tried to manufacture fake terrorists for Trump. 1089 00:58:34,960 --> 00:58:37,840 Speaker 1: I think that over sells the story a little bit. 1090 00:58:37,920 --> 00:58:39,919 Speaker 1: I'm not sure that they were trying to manufacture fake 1091 00:58:40,000 --> 00:58:43,320 Speaker 1: terrorists so much as they were overstepping the boundaries of 1092 00:58:43,360 --> 00:58:48,600 Speaker 1: their authority to monitor and to monitor and sort of 1093 00:58:48,680 --> 00:58:53,320 Speaker 1: make a bigger claim about the security threat than actually existed. 1094 00:58:53,480 --> 00:58:55,840 Speaker 1: And that's not to say in twenty twenty there was 1095 00:58:55,840 --> 00:58:58,960 Speaker 1: a huge security threat in Portland. There's no downplaying that. 1096 00:58:59,280 --> 00:59:01,640 Speaker 1: DHS though, seems if you read this report, which I 1097 00:59:01,680 --> 00:59:04,640 Speaker 1: actually did because I got here a little earlier today, 1098 00:59:04,640 --> 00:59:08,160 Speaker 1: which is unusual and too early, in fact, like an 1099 00:59:08,160 --> 00:59:11,680 Speaker 1: hour early, and read the entire report, you see that 1100 00:59:11,960 --> 00:59:18,800 Speaker 1: a sort of ill equipped DHS is monitoring protesters who 1101 00:59:18,880 --> 00:59:23,640 Speaker 1: are not implicated in violence in order to kind of 1102 00:59:23,880 --> 00:59:29,880 Speaker 1: have dossier's on people in Portland that summer and so right, 1103 00:59:30,560 --> 00:59:34,480 Speaker 1: you know the book Three Felonies a Day. So it's 1104 00:59:34,480 --> 00:59:38,760 Speaker 1: this book by a lawyer that the point behind is 1105 00:59:38,760 --> 00:59:43,360 Speaker 1: that every person in America commits three felonies a day. 1106 00:59:44,160 --> 00:59:48,840 Speaker 1: Probably a slight exaggeration, but maybe not, because our federal 1107 00:59:48,880 --> 00:59:53,520 Speaker 1: code is so expansive and so interlocking that you're speaking 1108 00:59:53,560 --> 00:59:57,520 Speaker 1: my language. Just yeah, that just walking down the street 1109 00:59:58,880 --> 01:00:01,680 Speaker 1: can get you caught up in some type of federal 1110 01:00:01,720 --> 01:00:05,480 Speaker 1: code in the hands of a creative federal prosecutor. That's 1111 01:00:05,480 --> 01:00:09,080 Speaker 1: why there's that famous saying that a prosecutor could you know, 1112 01:00:09,120 --> 01:00:11,439 Speaker 1: a good prosecutor could in front of a grand jury, 1113 01:00:11,440 --> 01:00:14,880 Speaker 1: couldn't diet a ham sandwich. And so now you have 1114 01:00:15,960 --> 01:00:19,800 Speaker 1: a bunch of ham sandwiches running around Portland. And Trump 1115 01:00:20,000 --> 01:00:25,600 Speaker 1: demanded that they find these these terror groups because he 1116 01:00:25,880 --> 01:00:28,040 Speaker 1: if you remember, at the time, he's scaring the whole 1117 01:00:28,040 --> 01:00:32,440 Speaker 1: country about Antifa, Antifa Antifi. Well, Antifa is scaring the 1118 01:00:32,480 --> 01:00:36,880 Speaker 1: whole country about Antifa because they were actually burning Portland. Yeah, 1119 01:00:37,080 --> 01:00:41,080 Speaker 1: every night, fifty to one hundred of these kids would 1120 01:00:41,080 --> 01:00:44,040 Speaker 1: come out dressed in black and like throw bricks through 1121 01:00:44,280 --> 01:00:46,400 Speaker 1: like the Bank of America window. And they said the 1122 01:00:46,440 --> 01:00:48,960 Speaker 1: Mayor's building on fire. They were setting fires like no, 1123 01:00:49,200 --> 01:00:51,480 Speaker 1: not cool at all, like I and I would get 1124 01:00:51,480 --> 01:00:53,840 Speaker 1: beat up by the I mean people are the lefties 1125 01:00:53,880 --> 01:00:56,080 Speaker 1: all the time, because I would constantly can you guys 1126 01:00:56,120 --> 01:00:59,960 Speaker 1: do something with some purpose here? Yeah? Can you stop this? 1127 01:01:00,080 --> 01:01:02,160 Speaker 1: Like who are you doing this for? The autonomous? Is 1128 01:01:02,200 --> 01:01:04,760 Speaker 1: just doing it for yourself? Those turned out to actually 1129 01:01:04,800 --> 01:01:07,000 Speaker 1: be very dangerous and there were more than a dozen 1130 01:01:07,000 --> 01:01:10,400 Speaker 1: people by certain metrics that actually died that summer. And 1131 01:01:10,440 --> 01:01:12,720 Speaker 1: I don't mean it's belittle it's but it's still tiny 1132 01:01:13,120 --> 01:01:16,920 Speaker 1: and every death is a tragedy. Yes, yes, although what 1133 01:01:16,960 --> 01:01:20,760 Speaker 1: we're seeing here it wasn't a nationwide uprising. And if 1134 01:01:20,760 --> 01:01:22,520 Speaker 1: you read the report, what I think what we're seeing, 1135 01:01:22,720 --> 01:01:25,600 Speaker 1: Oh I disagree with that because it did it hits 1136 01:01:25,720 --> 01:01:28,840 Speaker 1: okay well for that month, So yeah, that wasn't antifat 1137 01:01:28,880 --> 01:01:31,040 Speaker 1: like they were that they were at the things. And 1138 01:01:31,280 --> 01:01:34,520 Speaker 1: what's frustrating about this is the same thing actually that 1139 01:01:34,560 --> 01:01:39,080 Speaker 1: we see acrosste intelligence communities. And again the intelligence community 1140 01:01:39,120 --> 01:01:41,400 Speaker 1: grift is bipartisan one. We talked about that earlier in 1141 01:01:41,400 --> 01:01:43,840 Speaker 1: the show with lobbying, but it's the same thing a 1142 01:01:43,880 --> 01:01:46,320 Speaker 1: lot of the you know, people in the intelligence community 1143 01:01:46,360 --> 01:01:48,880 Speaker 1: that abuse their power. They're both Democrats and Republicans. I 1144 01:01:48,920 --> 01:01:50,840 Speaker 1: think we've seen it more from people who tend to 1145 01:01:50,840 --> 01:01:53,800 Speaker 1: be Democrats in the last couple of years than what 1146 01:01:53,960 --> 01:01:56,720 Speaker 1: was on display during the Bush administration, and some Republicans 1147 01:01:56,920 --> 01:01:59,280 Speaker 1: were not open to hearing about how these were actual 1148 01:01:59,280 --> 01:02:01,320 Speaker 1: abuses of power or One of the things we see 1149 01:02:01,320 --> 01:02:06,080 Speaker 1: the FBI consciously involved in right now is expanding the 1150 01:02:06,160 --> 01:02:11,800 Speaker 1: definitions and expanding the scope of inquiries in order to 1151 01:02:11,840 --> 01:02:14,240 Speaker 1: implicate more and more people in order to monitor and 1152 01:02:14,760 --> 01:02:16,720 Speaker 1: to surveil more and more people, in order to have 1153 01:02:16,760 --> 01:02:19,760 Speaker 1: more power and more funding, et cetera, et cetera. What 1154 01:02:19,840 --> 01:02:22,480 Speaker 1: the DHS was doing here actually seems to fit that 1155 01:02:22,560 --> 01:02:27,040 Speaker 1: narrative pretty perfectly. So how has the right been responding 1156 01:02:27,080 --> 01:02:29,320 Speaker 1: to this? Nothing? I mean, I haven't heard anything about it. 1157 01:02:29,360 --> 01:02:31,600 Speaker 1: And maybe that's because it's a well, first of all, 1158 01:02:31,800 --> 01:02:37,200 Speaker 1: we know one that's because there's double standards, obviously, but secondly, 1159 01:02:37,360 --> 01:02:39,480 Speaker 1: probably because it's a minor concern in the scope of 1160 01:02:39,480 --> 01:02:41,800 Speaker 1: what the intelligence community is doing right now in terms 1161 01:02:41,840 --> 01:02:46,120 Speaker 1: of domestic terrorists and their classifications of domestic terrorists. But 1162 01:02:46,400 --> 01:02:48,560 Speaker 1: people like rand Paul I haven't seen if he said 1163 01:02:48,560 --> 01:02:52,560 Speaker 1: anything about that, you would think would would have concerns 1164 01:02:52,760 --> 01:02:55,600 Speaker 1: about this as well, right, because that's what the right 1165 01:02:55,640 --> 01:02:57,960 Speaker 1: has to do if they're going to again going back 1166 01:02:57,960 --> 01:03:00,720 Speaker 1: to what we're talking about in the first place, Kushner 1167 01:03:00,760 --> 01:03:03,120 Speaker 1: and Hunter Biden, if you're going to complain when they 1168 01:03:03,400 --> 01:03:07,200 Speaker 1: surveil and call you domestic terrorists, you got to got 1169 01:03:07,200 --> 01:03:09,000 Speaker 1: to do the same when it's when the shoe was 1170 01:03:09,040 --> 01:03:11,520 Speaker 1: on the other foot. And this is Trump's DHS. So 1171 01:03:11,760 --> 01:03:14,200 Speaker 1: I think a lot of people would say, you know, 1172 01:03:14,640 --> 01:03:19,400 Speaker 1: today there's too little focus on violent left wing riders 1173 01:03:19,400 --> 01:03:22,800 Speaker 1: and still in Portland for example, and so et cetera, 1174 01:03:22,840 --> 01:03:24,360 Speaker 1: et cetera. That's what it was for the cops. The 1175 01:03:24,360 --> 01:03:27,240 Speaker 1: cops are just on strikeout there. It's at what point 1176 01:03:27,280 --> 01:03:29,360 Speaker 1: is the right going to be like, hey, guys, okay, enough, 1177 01:03:29,480 --> 01:03:31,720 Speaker 1: like get back to work. I don't know, we get 1178 01:03:31,760 --> 01:03:34,160 Speaker 1: that you were upset, you didn't like the way you 1179 01:03:34,160 --> 01:03:37,280 Speaker 1: were treated in twenty twenty. It's like almost twenty twenty 1180 01:03:37,280 --> 01:03:40,800 Speaker 1: three now, like you're on salary. One of the unsung 1181 01:03:40,960 --> 01:03:43,360 Speaker 1: stories of last week is that a Republican was almost 1182 01:03:43,360 --> 01:03:47,320 Speaker 1: elected governor of Oregon. It's a very exasperated state, and 1183 01:03:47,360 --> 01:03:49,760 Speaker 1: for some good reason, but I'm with you. I mean, 1184 01:03:49,920 --> 01:03:53,520 Speaker 1: I think a consistent Republican party would be upset about this. 1185 01:03:53,880 --> 01:03:56,520 Speaker 1: Although I do think it's it's small in comparison to 1186 01:03:56,640 --> 01:03:59,520 Speaker 1: some of what we've seen in recent years. It fits 1187 01:03:59,560 --> 01:04:03,000 Speaker 1: that same and it speaks to I think the broad 1188 01:04:03,520 --> 01:04:06,720 Speaker 1: rot and a mindset actually that like Dwight Eisenhower and 1189 01:04:06,760 --> 01:04:08,760 Speaker 1: people were worried about forever as we were building up 1190 01:04:08,760 --> 01:04:14,680 Speaker 1: these apparatuses, this power is going to be abused. Yeah, 1191 01:04:15,200 --> 01:04:18,400 Speaker 1: all right, Ryan, let's move on to your point for today. 1192 01:04:18,560 --> 01:04:21,560 Speaker 1: All right. So, when Alexandrokzucortez upset Joe Crowley in the 1193 01:04:21,560 --> 01:04:24,280 Speaker 1: summer of twenty eighteen, the political environment on the left 1194 01:04:24,360 --> 01:04:27,920 Speaker 1: was drastically different than today's. The Bernie Sanders campaign in 1195 01:04:27,920 --> 01:04:31,320 Speaker 1: twenty sixteen had brought together disparate progressive forces and merged 1196 01:04:31,320 --> 01:04:34,880 Speaker 1: them into something resembling a political movement. That energy buoyed 1197 01:04:34,920 --> 01:04:37,400 Speaker 1: AOC in what would come to be known as the Squad, 1198 01:04:37,680 --> 01:04:40,440 Speaker 1: and only grew stronger throughout twenty nineteen and into the 1199 01:04:40,520 --> 01:04:43,480 Speaker 1: next presidential race, where Sanders won the popular vote in 1200 01:04:43,520 --> 01:04:46,560 Speaker 1: the Iowa caucuses, finished on top of New Hampshire, and 1201 01:04:46,640 --> 01:04:49,640 Speaker 1: blew the other candidates out in Nevada, producing a meltdown 1202 01:04:49,840 --> 01:04:53,120 Speaker 1: among the party establishment and on cable news. The party 1203 01:04:53,160 --> 01:04:56,640 Speaker 1: brass recovered quickly consolidated behind Joe Biden, the head of 1204 01:04:56,640 --> 01:05:00,000 Speaker 1: South Carolina, came from behind on Super Tuesday and finished 1205 01:05:00,040 --> 01:05:03,800 Speaker 1: Sanders off. Over the next year, the ecosystem that came together, 1206 01:05:03,960 --> 01:05:08,240 Speaker 1: increasingly organized around YouTube shows and podcasts, began splintering off. 1207 01:05:08,560 --> 01:05:11,160 Speaker 1: Some followed Tulsea Gabbard as she drifted out of the party, 1208 01:05:11,200 --> 01:05:14,000 Speaker 1: while others worked to build an alternative to the Democratic Party, 1209 01:05:14,200 --> 01:05:18,240 Speaker 1: while others still gave up entirely on electoral politics. So 1210 01:05:18,280 --> 01:05:20,280 Speaker 1: at the start of her career, Twitter was a place 1211 01:05:20,320 --> 01:05:23,200 Speaker 1: where Okazu Cortes could be seen to be leading an 1212 01:05:23,320 --> 01:05:26,560 Speaker 1: army of supporters, but often today it seems more like 1213 01:05:26,600 --> 01:05:28,960 Speaker 1: she's fighting off an army of critics from the left. 1214 01:05:29,480 --> 01:05:32,600 Speaker 1: Others in the progressive ecosystem who still support Okazu Cortez 1215 01:05:32,680 --> 01:05:36,080 Speaker 1: complain that she hasn't invested heavily enough in building infrastructure 1216 01:05:36,160 --> 01:05:38,880 Speaker 1: or supporting candidates early enough for it to matter. So 1217 01:05:38,960 --> 01:05:40,960 Speaker 1: I asked her about her relationship with the left in 1218 01:05:41,000 --> 01:05:44,240 Speaker 1: a recent interview for the Intercept podcast Deconstructed, and here's 1219 01:05:44,280 --> 01:05:47,320 Speaker 1: the first clip of it. It's interesting when the left 1220 01:05:47,440 --> 01:05:50,280 Speaker 1: was totally out of power from say, like you know, 1221 01:05:50,320 --> 01:05:55,120 Speaker 1: twenty fifteen up through I guess, you know, the election 1222 01:05:55,240 --> 01:05:58,040 Speaker 1: of the of the Squad, that unity among kind of 1223 01:05:58,040 --> 01:06:04,160 Speaker 1: the national grassroots online left was really strong. That unity 1224 01:06:04,200 --> 01:06:07,320 Speaker 1: has really frayed. You can feel it on you can 1225 01:06:07,320 --> 01:06:09,960 Speaker 1: feel it online. What what do you what do you 1226 01:06:09,960 --> 01:06:11,960 Speaker 1: think brought that about? And what do you think can 1227 01:06:12,000 --> 01:06:17,120 Speaker 1: be done to recharge it? Well? You know, again, I 1228 01:06:17,160 --> 01:06:19,600 Speaker 1: think I think a lot of it has to do 1229 01:06:19,720 --> 01:06:23,760 Speaker 1: with you know, it's one thing to be united and 1230 01:06:23,800 --> 01:06:30,880 Speaker 1: what's wrong, but it is a much more complicated, nuanced 1231 01:06:32,480 --> 01:06:35,640 Speaker 1: thing to navigate uncertainty. And so then once you have 1232 01:06:35,720 --> 01:06:39,160 Speaker 1: the responsibility of power, you have to make decisions on 1233 01:06:39,200 --> 01:06:44,840 Speaker 1: a daily basis about what to do with it. And 1234 01:06:47,280 --> 01:06:51,680 Speaker 1: that takes a lot of communication and frankly, maturity and 1235 01:06:51,800 --> 01:06:56,720 Speaker 1: understanding and discussion. And I think sometimes, like you know, 1236 01:06:56,800 --> 01:07:05,160 Speaker 1: the the responsibility of wielding power for people requires a 1237 01:07:05,280 --> 01:07:09,880 Speaker 1: lot of discussion and debate and also disagreement and how 1238 01:07:09,920 --> 01:07:15,440 Speaker 1: we manage disagreement. If someone makes a mistake, it's not 1239 01:07:15,560 --> 01:07:19,080 Speaker 1: the same thing as someone selling out, Like there needs 1240 01:07:20,200 --> 01:07:23,280 Speaker 1: there needs to be a differentiation between an individual decision 1241 01:07:23,360 --> 01:07:27,680 Speaker 1: and a record and a pattern, and so you know, 1242 01:07:27,760 --> 01:07:33,560 Speaker 1: I think in the initial aftermath of gaining power, having 1243 01:07:33,600 --> 01:07:38,240 Speaker 1: to have these conversations require a lot of growth, and 1244 01:07:38,320 --> 01:07:40,960 Speaker 1: it requires a lot of debate. And yeah, I mean, 1245 01:07:41,000 --> 01:07:44,960 Speaker 1: I think sometimes it's very easy to like turn on 1246 01:07:45,080 --> 01:07:47,880 Speaker 1: each other and have people turn on each other and 1247 01:07:48,200 --> 01:07:54,320 Speaker 1: oftentimes mistake a disagreement with malintent or lack of character. 1248 01:07:55,240 --> 01:07:57,680 Speaker 1: And so I think that that's kind of what we 1249 01:07:57,760 --> 01:08:02,560 Speaker 1: saw for a little bit. But I actually I'm also 1250 01:08:02,720 --> 01:08:08,080 Speaker 1: sensing a moving beyond that. Of course, much of that 1251 01:08:08,200 --> 01:08:11,640 Speaker 1: is still going to exist, but I actually do sense 1252 01:08:11,680 --> 01:08:14,120 Speaker 1: of growth in that, Like if you look at the 1253 01:08:14,520 --> 01:08:22,080 Speaker 1: growth in national DSSAY for example, Like, of course these 1254 01:08:22,280 --> 01:08:26,799 Speaker 1: periods of growth can look messy, but actually public debate 1255 01:08:26,920 --> 01:08:32,200 Speaker 1: and struggle is what allows there to be the transparency 1256 01:08:32,240 --> 01:08:37,679 Speaker 1: and also trust necessary in decisions and to be able 1257 01:08:37,720 --> 01:08:44,320 Speaker 1: to hash out these disagreements but then understand that despite disagreements, 1258 01:08:44,360 --> 01:08:47,160 Speaker 1: a person may have made a decision, but it doesn't 1259 01:08:47,240 --> 01:08:49,880 Speaker 1: there's a you know, understanding when to draw the line 1260 01:08:49,920 --> 01:08:52,799 Speaker 1: between there being a difference of approach or a difference 1261 01:08:52,800 --> 01:08:55,559 Speaker 1: of strategy, even if it's only you vehemently disagree with 1262 01:08:56,320 --> 01:09:00,840 Speaker 1: and a and just like someone acting like someone who's 1263 01:09:00,880 --> 01:09:04,559 Speaker 1: just like not on our side. Those are two different things, 1264 01:09:04,880 --> 01:09:08,320 Speaker 1: and I think that there's a greater appreciation of that. 1265 01:09:08,760 --> 01:09:12,080 Speaker 1: I think that there is more movement building that's happening, 1266 01:09:12,120 --> 01:09:14,919 Speaker 1: and I think that that is evident with the enormous 1267 01:09:14,960 --> 01:09:19,920 Speaker 1: electoral gains that progressives are making down ballot. I mean, 1268 01:09:21,479 --> 01:09:24,960 Speaker 1: if you look at these state Senate seats that we 1269 01:09:25,000 --> 01:09:31,000 Speaker 1: are picking up in places like Georgia and other areas 1270 01:09:31,040 --> 01:09:34,000 Speaker 1: across the country, like this is nothing to sniss at. 1271 01:09:34,120 --> 01:09:36,880 Speaker 1: I really do think that we're building a bench and 1272 01:09:38,760 --> 01:09:43,240 Speaker 1: that's it's trending in the right direction. I think electorally, 1273 01:09:44,000 --> 01:09:48,920 Speaker 1: we are setting ourselves up for good things. But yeah, 1274 01:09:48,960 --> 01:09:54,639 Speaker 1: I think online discourse is, you know, we can grow 1275 01:09:54,760 --> 01:09:57,560 Speaker 1: up like we can And I don't mean that in 1276 01:09:57,680 --> 01:10:00,720 Speaker 1: a in a you know, in an accus viatorial way, 1277 01:10:00,840 --> 01:10:03,479 Speaker 1: but I think that we can become more sophisticated. I 1278 01:10:03,479 --> 01:10:05,840 Speaker 1: think and I think that we are becoming more sophisticated, 1279 01:10:06,080 --> 01:10:10,320 Speaker 1: but it definitely takes growing pains. So I want to 1280 01:10:10,360 --> 01:10:12,759 Speaker 1: ask you one what you thought of that? But two, 1281 01:10:12,800 --> 01:10:16,800 Speaker 1: if you ever see parallels on the right with I say, 1282 01:10:17,160 --> 01:10:20,520 Speaker 1: Tea Party or Freedom caucus types who come under criticism 1283 01:10:20,560 --> 01:10:24,840 Speaker 1: from the much further right for going to Washington and 1284 01:10:24,880 --> 01:10:29,800 Speaker 1: becoming a giant sellout. How do they handle those criticisms. Yeah, 1285 01:10:29,800 --> 01:10:31,840 Speaker 1: they are definitely parallels there. But I thought that was 1286 01:10:31,880 --> 01:10:35,000 Speaker 1: really interesting because it sounded almost cathartic for her to 1287 01:10:35,000 --> 01:10:38,280 Speaker 1: have that conversation with a reporter, because it's something that 1288 01:10:38,320 --> 01:10:41,559 Speaker 1: I think she really desperately wants people to understand that 1289 01:10:41,640 --> 01:10:44,519 Speaker 1: when you get to Washington, she's repeatedly saying, and you 1290 01:10:44,560 --> 01:10:46,920 Speaker 1: have the responsibility of power, and you have to on 1291 01:10:46,960 --> 01:10:51,080 Speaker 1: a daily basis make decisions for the country and for 1292 01:10:51,400 --> 01:10:55,439 Speaker 1: your constituents. It changes your mindset and it changes the 1293 01:10:55,479 --> 01:10:59,120 Speaker 1: way that you approach some of these questions, whereas activists, genuinely, 1294 01:10:59,160 --> 01:11:02,320 Speaker 1: and I say this, have the luxury of being able 1295 01:11:02,400 --> 01:11:07,000 Speaker 1: to have ideological purity on every bill, on every issue 1296 01:11:07,040 --> 01:11:08,960 Speaker 1: because they're not the ones that are jockeying for a 1297 01:11:09,000 --> 01:11:11,479 Speaker 1: seat on the committee or a voice an X, Y, 1298 01:11:11,520 --> 01:11:12,760 Speaker 1: and Z. And I'm not saying that's the way the 1299 01:11:12,760 --> 01:11:15,400 Speaker 1: system's supposed to work. But it's interesting because when she 1300 01:11:15,560 --> 01:11:20,280 Speaker 1: said that quote, we can grow up, I thought, if 1301 01:11:20,320 --> 01:11:22,320 Speaker 1: I were an activist on the left, I'd actually be 1302 01:11:22,400 --> 01:11:28,200 Speaker 1: really offended by that, because the implication is that your consistency, 1303 01:11:28,680 --> 01:11:33,559 Speaker 1: your ideological consistency, is immature. What was interesting though about 1304 01:11:33,600 --> 01:11:36,200 Speaker 1: that quote is she seemed to be including herself in 1305 01:11:36,320 --> 01:11:40,559 Speaker 1: that she caught herself and seemed to be saying almost 1306 01:11:40,600 --> 01:11:43,160 Speaker 1: that like I'm trying to grow up too, Like I'm 1307 01:11:43,200 --> 01:11:47,519 Speaker 1: an activist bartender made my way into Congress, and hey, 1308 01:11:47,840 --> 01:11:50,519 Speaker 1: things are different here. And I know you've been a 1309 01:11:50,560 --> 01:11:53,639 Speaker 1: part of conversations like that about Medicare for all, and 1310 01:11:54,160 --> 01:11:59,120 Speaker 1: those are conversations that I think when you have the 1311 01:11:59,400 --> 01:12:03,639 Speaker 1: unfortunate an daily job of seeing how the sausage gets made, 1312 01:12:04,400 --> 01:12:07,880 Speaker 1: you sort of know what people are doing and the 1313 01:12:07,920 --> 01:12:10,120 Speaker 1: system shouldn't work the way that it does, but it does. 1314 01:12:10,840 --> 01:12:12,920 Speaker 1: And I think that's what she was getting at. And 1315 01:12:13,000 --> 01:12:16,240 Speaker 1: I think you've seen similar things happen when Marco Ribio 1316 01:12:16,320 --> 01:12:18,080 Speaker 1: joined the Gang of Eight, comes in on the tea 1317 01:12:18,120 --> 01:12:21,760 Speaker 1: party wave, joins the Gang of Eight on immigration and 1318 01:12:21,960 --> 01:12:26,800 Speaker 1: just has his career almost decimated for five years and 1319 01:12:26,840 --> 01:12:29,840 Speaker 1: now he's a very different senator than he was then. 1320 01:12:30,600 --> 01:12:34,320 Speaker 1: But another just a good example of how that can 1321 01:12:34,400 --> 01:12:37,679 Speaker 1: happen when you're somebody who's elevated by the activist wing 1322 01:12:37,800 --> 01:12:41,280 Speaker 1: and then comes here. Certainly people come here and are 1323 01:12:41,400 --> 01:12:44,960 Speaker 1: outright corrupted all of the time. I actually asked her, 1324 01:12:45,400 --> 01:12:48,519 Speaker 1: do you include yourself in that? In that we need 1325 01:12:48,520 --> 01:12:51,519 Speaker 1: to grow up? Let's play that second clip when you 1326 01:12:51,520 --> 01:12:54,040 Speaker 1: say we are you including yourself and that too are 1327 01:12:54,640 --> 01:12:57,400 Speaker 1: when you look back? Are there anythings that you think 1328 01:12:57,439 --> 01:13:01,160 Speaker 1: your critics got right? Like if I were trying to 1329 01:13:01,200 --> 01:13:07,080 Speaker 1: pinpoint one, I'd say the Amazon warehouse fight that was 1330 01:13:07,640 --> 01:13:09,400 Speaker 1: being waged where they were trying to get a whole 1331 01:13:09,439 --> 01:13:13,120 Speaker 1: bunch of support and didn't like if you had to 1332 01:13:13,160 --> 01:13:16,400 Speaker 1: do that over again, or are there any things that 1333 01:13:16,400 --> 01:13:18,360 Speaker 1: you would have done differently if you could do them 1334 01:13:18,439 --> 01:13:23,240 Speaker 1: over again to try to like rebuild that communication and trust. Yeah, 1335 01:13:23,320 --> 01:13:25,200 Speaker 1: I mean I guess like the thing is is like 1336 01:13:27,560 --> 01:13:31,960 Speaker 1: I think it's really about like intro left relationship, right, 1337 01:13:32,000 --> 01:13:34,439 Speaker 1: So like if you look at that incident, I mean, 1338 01:13:34,479 --> 01:13:39,400 Speaker 1: now we're all good, like you know what I'm saying, 1339 01:13:39,400 --> 01:13:45,840 Speaker 1: Like that relationship, Like we're cool, Like we dove in 1340 01:13:46,280 --> 01:13:50,160 Speaker 1: and it wasn't just about like showing up at a 1341 01:13:50,200 --> 01:13:56,200 Speaker 1: press conference like we have offered very like we have 1342 01:13:56,479 --> 01:14:01,080 Speaker 1: offered infrastructure support. But there they're really is a difference 1343 01:14:01,120 --> 01:14:05,000 Speaker 1: between asking one person to be there for every single thing, 1344 01:14:05,600 --> 01:14:08,800 Speaker 1: and then when they can't make it for one thing 1345 01:14:09,320 --> 01:14:12,080 Speaker 1: that like it. Oh it must be because they abandoned 1346 01:14:12,240 --> 01:14:15,680 Speaker 1: all principle. Like there's a difference between that and just 1347 01:14:15,800 --> 01:14:19,880 Speaker 1: like hey, okay, yeah, like we like we missed it 1348 01:14:19,960 --> 01:14:22,800 Speaker 1: on this one, because there were literally eight hundred other 1349 01:14:22,840 --> 01:14:25,439 Speaker 1: things that out, other fights that people were asking us 1350 01:14:25,439 --> 01:14:30,200 Speaker 1: to take up, and like, okay, but you know what, 1351 01:14:30,439 --> 01:14:33,839 Speaker 1: we showed up and we're back together again. And actually, 1352 01:14:33,920 --> 01:14:37,360 Speaker 1: like the discourse of that moment is so out of 1353 01:14:37,479 --> 01:14:41,320 Speaker 1: step with the reality of what played out, because we've 1354 01:14:41,360 --> 01:14:46,040 Speaker 1: continued to support and do everything we can to to 1355 01:14:46,320 --> 01:14:49,160 Speaker 1: you know, make sure that we're up on that, and 1356 01:14:49,960 --> 01:14:53,240 Speaker 1: you know, we're good now. And so I think it 1357 01:14:53,479 --> 01:14:57,719 Speaker 1: there's a temptation and we have to be aware of 1358 01:14:58,080 --> 01:15:03,240 Speaker 1: the role that even algorithms play in this, right, like YouTube, Twitter, 1359 01:15:04,200 --> 01:15:06,720 Speaker 1: all of it is designed to make a fight with 1360 01:15:06,760 --> 01:15:13,240 Speaker 1: each other like that is rewarded algorithmically, And so I 1361 01:15:13,240 --> 01:15:15,720 Speaker 1: think with the awareness of that, and it's not to 1362 01:15:15,760 --> 01:15:19,000 Speaker 1: say that we shouldn't ever, you know, we're better with 1363 01:15:19,560 --> 01:15:23,920 Speaker 1: sound criticism, but I think we really need to be 1364 01:15:24,760 --> 01:15:30,639 Speaker 1: grounded in strong citation and not just incitement of emotion, 1365 01:15:31,560 --> 01:15:39,280 Speaker 1: like like, let's talk about having really thorough arguments to 1366 01:15:39,360 --> 01:15:42,760 Speaker 1: make each other better, Like that's what political struggle is 1367 01:15:42,800 --> 01:15:46,080 Speaker 1: all about, and engaging in that, you know, with one 1368 01:15:46,080 --> 01:15:48,879 Speaker 1: another as a movement. I think she's right about the algorithms. 1369 01:15:48,880 --> 01:15:52,360 Speaker 1: We're up against, a hard stop gift like fifteen second thought. 1370 01:15:52,640 --> 01:15:54,960 Speaker 1: I just think it's fascinating. I mean, of course people 1371 01:15:55,160 --> 01:15:57,240 Speaker 1: come here and have all kinds of issues with us, 1372 01:15:57,240 --> 01:15:59,800 Speaker 1: whether it's money or power or just you know, trying 1373 01:15:59,840 --> 01:16:01,960 Speaker 1: to to do what you think is right, which is rare. 1374 01:16:02,560 --> 01:16:05,719 Speaker 1: But that sounds to me like somebody who was elected 1375 01:16:05,760 --> 01:16:09,120 Speaker 1: in the social media generation understands social media and is 1376 01:16:09,160 --> 01:16:12,400 Speaker 1: dealing with challenges that are are different than really what 1377 01:16:12,840 --> 01:16:16,960 Speaker 1: any other generation of Congress has dealt with. Well, the 1378 01:16:17,000 --> 01:16:20,880 Speaker 1: full interviewer deconstructed. We're gonna have more in a minute, 1379 01:16:22,920 --> 01:16:25,920 Speaker 1: All right, Emily, So what's your point today. Well, it's 1380 01:16:25,960 --> 01:16:29,160 Speaker 1: been a hopeful week in Washington, like the dawn of 1381 01:16:29,320 --> 01:16:34,880 Speaker 1: springtime instead of creeping winter. Finally, finally, the Beltway thinks 1382 01:16:35,120 --> 01:16:41,360 Speaker 1: that American populism is beyond resuscitation. Donald Trump's sleepy presidential 1383 01:16:41,400 --> 01:16:45,439 Speaker 1: announcement landed with a thud, while right populists faltered in 1384 01:16:45,520 --> 01:16:48,800 Speaker 1: the midterms. Ron de Santis, according to Wall Street and 1385 01:16:48,840 --> 01:16:52,800 Speaker 1: Paul Ryan, presents a plausible and palatable alternative to trump Ism, 1386 01:16:53,080 --> 01:16:57,639 Speaker 1: so the page can finally be turned. Well, no, they'd 1387 01:16:57,720 --> 01:17:00,160 Speaker 1: like the power to turn that page, sure, but they 1388 01:17:00,160 --> 01:17:02,680 Speaker 1: don't have it yet. I've said before that while I 1389 01:17:02,720 --> 01:17:07,639 Speaker 1: generally disdain politicians period, I am favorable to the argument 1390 01:17:07,760 --> 01:17:10,240 Speaker 1: for Ron de Santis. It's hard to say where he 1391 01:17:10,360 --> 01:17:13,400 Speaker 1: lands on populist economics and foreign policy as of right now, 1392 01:17:13,439 --> 01:17:16,080 Speaker 1: although his willingness to throw a middle finger up at 1393 01:17:16,120 --> 01:17:18,679 Speaker 1: the most powerful company in his state was a promising sign. 1394 01:17:19,080 --> 01:17:23,440 Speaker 1: But what we do know is that American happiness is declining. 1395 01:17:23,720 --> 01:17:26,519 Speaker 1: We know wages are stagnant, that the rising tide of 1396 01:17:26,560 --> 01:17:29,920 Speaker 1: the stock market is not lifting all boats. Mental health 1397 01:17:30,000 --> 01:17:33,160 Speaker 1: is worse, suicides are up and birds are down. We 1398 01:17:33,240 --> 01:17:36,240 Speaker 1: know war and energy and personal technologies have us on 1399 01:17:36,280 --> 01:17:41,080 Speaker 1: the brink of crises. TVs are cheap, and people are miserable. 1400 01:17:41,479 --> 01:17:45,160 Speaker 1: In other words, whether he stays or goes, populism isn't 1401 01:17:45,200 --> 01:17:47,799 Speaker 1: tied to the fate of Donald Trump or Blake Masters, 1402 01:17:47,880 --> 01:17:50,519 Speaker 1: or even Bernie Sanders for that matter. It's here to 1403 01:17:50,560 --> 01:17:53,840 Speaker 1: stay because times are bad. Now in the scope of 1404 01:17:53,880 --> 01:17:57,360 Speaker 1: human history, times should feel much better. We are freer, wealthier, 1405 01:17:57,400 --> 01:18:00,559 Speaker 1: and healthier, and more prosperous than most people who have lived, 1406 01:18:00,920 --> 01:18:03,519 Speaker 1: but we're also declining on many of those measures from 1407 01:18:03,600 --> 01:18:06,920 Speaker 1: one generation to another. When you ask people to choose 1408 01:18:07,000 --> 01:18:10,040 Speaker 1: between a traditional politician or someone who says the system 1409 01:18:10,160 --> 01:18:13,840 Speaker 1: is rigged and acts like it too, it's not irrational 1410 01:18:14,120 --> 01:18:15,920 Speaker 1: for them to throw their chips in with the guy 1411 01:18:16,000 --> 01:18:20,320 Speaker 1: willing to accurately diagnose the problem, even if he happens 1412 01:18:20,360 --> 01:18:23,120 Speaker 1: to be a cranky Vermonter or maybe even a reality 1413 01:18:23,160 --> 01:18:27,519 Speaker 1: TV show host. Remember when the chattering class salivated over 1414 01:18:27,600 --> 01:18:31,360 Speaker 1: jd Vance after the release of Hillbilly Elogy. They'll talk 1415 01:18:31,520 --> 01:18:35,080 Speaker 1: until they're blue in the face about the opioid crisis 1416 01:18:35,120 --> 01:18:39,200 Speaker 1: and income inequality and rural decay, but their solutions are 1417 01:18:39,400 --> 01:18:43,400 Speaker 1: either easy band aids or trickle down economics. They don't 1418 01:18:43,439 --> 01:18:45,920 Speaker 1: want to take hard stances or tough votes. They want 1419 01:18:45,960 --> 01:18:48,800 Speaker 1: to talk and tinker around the edges. That's pretty much 1420 01:18:48,840 --> 01:18:52,720 Speaker 1: exactly what Obamacare amounted to. For instance, what have Democrats 1421 01:18:52,720 --> 01:18:55,720 Speaker 1: and Republicans done with their power recently when they've had 1422 01:18:55,720 --> 01:18:58,479 Speaker 1: both Houses of Congress and the presidency, a half assed 1423 01:18:58,520 --> 01:19:01,360 Speaker 1: healthcare bill and a half assedd tag bill. Obama wanted 1424 01:19:01,360 --> 01:19:05,200 Speaker 1: a public option. Paul Ryan wanted taxes on postcards. You 1425 01:19:05,280 --> 01:19:08,439 Speaker 1: may say, sure, but this is a feature, not a bug, 1426 01:19:08,479 --> 01:19:13,160 Speaker 1: of Madison's checks and balance system. Well that's true. But again, 1427 01:19:13,240 --> 01:19:16,400 Speaker 1: both those bills passed not with divided government, but when 1428 01:19:16,439 --> 01:19:21,360 Speaker 1: one party had total control of Congress. We're paralyzed by 1429 01:19:21,400 --> 01:19:25,559 Speaker 1: institutional capture in government, media, and business, and our daily 1430 01:19:25,560 --> 01:19:29,439 Speaker 1: lives are worse because of those declines. Trump disrupted our 1431 01:19:29,479 --> 01:19:32,840 Speaker 1: politics in some good ways and in some really bad ones. 1432 01:19:33,080 --> 01:19:36,719 Speaker 1: But when e Laits gleefully cheer his demise, they're cheering 1433 01:19:36,760 --> 01:19:39,280 Speaker 1: for the demise of all of those disruptions, the good 1434 01:19:39,320 --> 01:19:42,559 Speaker 1: ones and the bad. They don't just want calmer news cycles. 1435 01:19:42,560 --> 01:19:46,960 Speaker 1: They want disempowered poor people, rural and urban. They want 1436 01:19:47,000 --> 01:19:51,120 Speaker 1: to monitor your expression and punish you when they disagree. 1437 01:19:51,280 --> 01:19:54,080 Speaker 1: They want a tax code that can be cheated happy 1438 01:19:54,120 --> 01:19:58,599 Speaker 1: defense contractors and pharma executives and agricultural conglomerates. They want 1439 01:19:58,720 --> 01:20:02,880 Speaker 1: disproportionate control of the voting process. Like Mark Zuckerberg. They 1440 01:20:02,920 --> 01:20:07,840 Speaker 1: want oligarchy with the veneer of republicanism. So the work 1441 01:20:07,880 --> 01:20:11,800 Speaker 1: of serious reform is left to less than serious politicians 1442 01:20:11,960 --> 01:20:15,320 Speaker 1: like Matt Gates because nobody else has the stomach for it. 1443 01:20:15,960 --> 01:20:18,920 Speaker 1: I believe that no member of Congress, by House rule, 1444 01:20:19,040 --> 01:20:22,080 Speaker 1: should be allowed to accept a donation for their campaign 1445 01:20:22,320 --> 01:20:25,880 Speaker 1: from a federal lobbyist or a federal political action committee. 1446 01:20:25,960 --> 01:20:28,559 Speaker 1: That money all has strings attached to it, and anybody 1447 01:20:28,560 --> 01:20:31,240 Speaker 1: who tries to tell you otherwise is lying. And when 1448 01:20:31,240 --> 01:20:34,599 Speaker 1: members take hundreds of thousands of dollars from lobbyists and packs, 1449 01:20:34,840 --> 01:20:37,600 Speaker 1: they work for them more than they work for their constituents. 1450 01:20:37,720 --> 01:20:40,280 Speaker 1: And guess what. I intend to offer that amendment on 1451 01:20:40,320 --> 01:20:43,600 Speaker 1: the House floor in January, and I already have Democrats 1452 01:20:43,600 --> 01:20:45,599 Speaker 1: ready to vote for it, maybe even all of them. 1453 01:20:45,840 --> 01:20:48,160 Speaker 1: The second thing I would suggest is that if someone 1454 01:20:48,200 --> 01:20:50,360 Speaker 1: is a member of Congress, they should be prohibited from 1455 01:20:50,439 --> 01:20:53,840 Speaker 1: lobbying for life. Why is it so hard to say 1456 01:20:54,000 --> 01:20:56,040 Speaker 1: that you should choose one side or the other to 1457 01:20:56,120 --> 01:20:58,720 Speaker 1: be on. You're either in the law making game or 1458 01:20:58,760 --> 01:21:01,360 Speaker 1: you're in the influence pedal game. And those who choose 1459 01:21:01,360 --> 01:21:03,240 Speaker 1: to be in the influence pedaling game go ahead. But 1460 01:21:03,320 --> 01:21:05,760 Speaker 1: you should sacrifice that when you get the privilege to 1461 01:21:05,800 --> 01:21:08,840 Speaker 1: represent seven hundred and fifty thousand people. I intend to 1462 01:21:08,880 --> 01:21:11,559 Speaker 1: offer that amendment on January third, and I expect that 1463 01:21:11,560 --> 01:21:14,160 Speaker 1: there will be Democrats voting for it. I will also 1464 01:21:14,400 --> 01:21:17,160 Speaker 1: introduce an amendment to have a ban on members of 1465 01:21:17,160 --> 01:21:20,800 Speaker 1: Congress trading individual stocks. How can we say that that 1466 01:21:20,920 --> 01:21:24,680 Speaker 1: is not something that dilutes our trust in markets and 1467 01:21:24,760 --> 01:21:27,720 Speaker 1: in governance when people are essentially able to bet on 1468 01:21:27,800 --> 01:21:30,799 Speaker 1: the outcomes that they have an ability to somewhat control. 1469 01:21:31,920 --> 01:21:34,360 Speaker 1: And I expect Democrats to vote for that. And finally, 1470 01:21:34,360 --> 01:21:36,439 Speaker 1: I would observe something that has really worked well in 1471 01:21:36,479 --> 01:21:40,360 Speaker 1: the state of Florida, a single subject rule. A bill 1472 01:21:40,439 --> 01:21:43,080 Speaker 1: coming to the floor should only deal with one subject. 1473 01:21:43,439 --> 01:21:46,000 Speaker 1: I was incensed as a freshman when I had to 1474 01:21:46,080 --> 01:21:49,200 Speaker 1: vote on the farm bill and whether or not to 1475 01:21:49,240 --> 01:21:52,519 Speaker 1: authorize war in Yemen in the same vote. And we 1476 01:21:52,520 --> 01:21:55,400 Speaker 1: could still have broad bills that relate to insurance, or 1477 01:21:55,520 --> 01:21:59,000 Speaker 1: education or appropriations. But the notion that we lash all 1478 01:21:59,120 --> 01:22:02,519 Speaker 1: these things together does not serve our constituents and the 1479 01:22:02,560 --> 01:22:05,479 Speaker 1: American people. And I would expect, if we're in the majority, 1480 01:22:05,520 --> 01:22:08,880 Speaker 1: Democrats will vote for mind thenment for a single subject rule. 1481 01:22:08,920 --> 01:22:12,000 Speaker 1: I don't want to hear a word from Pharma or 1482 01:22:12,000 --> 01:22:16,519 Speaker 1: from Kevin McCarthy or Hakim Jeffreys about populism or decay 1483 01:22:16,960 --> 01:22:20,679 Speaker 1: or divisions until they start talking like that, because that's 1484 01:22:20,680 --> 01:22:23,439 Speaker 1: what it would take. Trump's boomer stop the steal bs, 1485 01:22:23,479 --> 01:22:27,800 Speaker 1: among other things, was harmful. If his third presidential bid fades, 1486 01:22:27,920 --> 01:22:30,600 Speaker 1: I hope that stuff fades with it. But unfortunately, we 1487 01:22:30,640 --> 01:22:32,360 Speaker 1: live in a low trust country. If people who have 1488 01:22:32,400 --> 01:22:35,479 Speaker 1: the luxury of not following politics closely know they're being 1489 01:22:35,600 --> 01:22:38,439 Speaker 1: lied to, and our right to believe little of what 1490 01:22:38,520 --> 01:22:41,840 Speaker 1: they hear. The irrational position is having high trust in 1491 01:22:41,840 --> 01:22:45,200 Speaker 1: our institutions right now, And what are those leading institutions 1492 01:22:45,240 --> 01:22:48,280 Speaker 1: doing well. They're gathering for the New York Times deal 1493 01:22:48,320 --> 01:22:52,080 Speaker 1: Books Summit this month, sponsored by Excenture and Walmart and more. 1494 01:22:52,520 --> 01:22:55,240 Speaker 1: What's the summit, you may wonder. It's a gathering of 1495 01:22:55,320 --> 01:22:58,719 Speaker 1: quote today's most vital minds on a single stage. Naturally, 1496 01:22:58,760 --> 01:23:01,400 Speaker 1: that means the highest proof. While Crony's of Black Rock 1497 01:23:01,479 --> 01:23:05,479 Speaker 1: and TikTok and Meta and the Fed, including Zelenski and 1498 01:23:05,560 --> 01:23:09,639 Speaker 1: Sam Bankman Freed himself are coming together under the banner 1499 01:23:09,760 --> 01:23:12,920 Speaker 1: of the paper of record, surely they'll get some tough questions. 1500 01:23:12,920 --> 01:23:15,160 Speaker 1: There's no doubt. Andrew Russ Sorkin will play the role 1501 01:23:15,240 --> 01:23:17,960 Speaker 1: of serious journalists as best he can, but he won't 1502 01:23:17,960 --> 01:23:20,519 Speaker 1: treat these folks like they should be in prison or 1503 01:23:20,680 --> 01:23:24,479 Speaker 1: stampeded out of polite society, which in a healthy country 1504 01:23:24,560 --> 01:23:27,599 Speaker 1: is exactly where some of them should be. I'm sure 1505 01:23:27,600 --> 01:23:29,920 Speaker 1: everyone will have all kinds of pleasant sentiments to share 1506 01:23:29,920 --> 01:23:33,120 Speaker 1: about unity and peace and healing our cultural wounds. But 1507 01:23:33,240 --> 01:23:35,479 Speaker 1: until they start talking more like Matt Gates did in 1508 01:23:35,560 --> 01:23:39,640 Speaker 1: that last clip and seriously take steps to relinquish some 1509 01:23:39,800 --> 01:23:42,400 Speaker 1: of their own power, they're only going to get more 1510 01:23:42,439 --> 01:23:48,320 Speaker 1: division and unrest, and they'll deserve it to A new 1511 01:23:48,439 --> 01:23:54,240 Speaker 1: bipartisan caucus is forming in Congress focused on the treatment 1512 01:23:54,360 --> 01:23:58,000 Speaker 1: value the therapeutic value of psychedelics. Joining us now to 1513 01:23:58,040 --> 01:24:00,680 Speaker 1: talk about this new caucus for the first time are 1514 01:24:00,720 --> 01:24:03,519 Speaker 1: two of the people that have helped to organize it. 1515 01:24:03,640 --> 01:24:06,000 Speaker 1: I want to welcome on here, John lu Becky, who 1516 01:24:06,040 --> 01:24:10,400 Speaker 1: is the VP of Communications for Apollo Pact. Also Marcus Capone. 1517 01:24:10,640 --> 01:24:12,960 Speaker 1: It's a co founder and chairman of VETS, which stands 1518 01:24:13,000 --> 01:24:18,280 Speaker 1: for Veterans Exploring Treatment Solutions. Both of you, thank you 1519 01:24:18,320 --> 01:24:22,960 Speaker 1: so much for joining us. Thank thanks, and so John, 1520 01:24:23,040 --> 01:24:25,439 Speaker 1: can you talk a little bit about what first of all, 1521 01:24:25,479 --> 01:24:27,640 Speaker 1: for people who are just watching this who aren't kind 1522 01:24:27,680 --> 01:24:31,880 Speaker 1: of hill rats, what is a caucus first of all? 1523 01:24:32,160 --> 01:24:35,080 Speaker 1: And what is this caucus going to be? Who's going 1524 01:24:35,160 --> 01:24:39,280 Speaker 1: to be in it? So a caucus very simply is 1525 01:24:39,439 --> 01:24:43,679 Speaker 1: a group of people in the House who all work 1526 01:24:43,800 --> 01:24:46,920 Speaker 1: on one thing. You've probably heard of, like the mental 1527 01:24:46,960 --> 01:24:51,160 Speaker 1: health caucus. There's a Veterans caucus. The biggest ones are 1528 01:24:51,280 --> 01:24:55,519 Speaker 1: the Democrat Caucus and the Republican Caucus. So some of 1529 01:24:55,560 --> 01:24:59,320 Speaker 1: them are very partisan. For example, the Republican and Democrat Caucus, 1530 01:24:59,560 --> 01:25:04,639 Speaker 1: this is an entirely bipartisan caucus. There's two co chairs hired, 1531 01:25:04,720 --> 01:25:09,759 Speaker 1: Lieutenant General Jack Bergman, who represents the Upper Peninsula of Michigan, 1532 01:25:09,880 --> 01:25:14,439 Speaker 1: and Lou Korea, who is a Congressman from California. Both 1533 01:25:14,479 --> 01:25:18,599 Speaker 1: of them stated that the reason they joined is because 1534 01:25:19,240 --> 01:25:22,799 Speaker 1: it touched their family and they see how mental health 1535 01:25:23,040 --> 01:25:26,639 Speaker 1: is not just affected their personal families, but they see 1536 01:25:26,640 --> 01:25:29,920 Speaker 1: it in their communities as we all do, and they 1537 01:25:29,960 --> 01:25:35,040 Speaker 1: decided to come together. And you know, psychedelics, drug policy, 1538 01:25:35,240 --> 01:25:37,960 Speaker 1: these have typically been things on the left. It's great 1539 01:25:38,000 --> 01:25:40,760 Speaker 1: to see like Jack Bergman step up from the from 1540 01:25:40,840 --> 01:25:44,640 Speaker 1: the Republican side as well as there's actually been a 1541 01:25:44,720 --> 01:25:48,439 Speaker 1: lot of interest by members. We don't have a set 1542 01:25:48,479 --> 01:25:52,280 Speaker 1: list other than the two chairs, because every Republican that 1543 01:25:52,360 --> 01:25:54,439 Speaker 1: wants to join has to go find a Democrat. Every 1544 01:25:54,479 --> 01:25:56,840 Speaker 1: Democrat who wants to join has to go find a Republican. 1545 01:25:57,600 --> 01:26:01,320 Speaker 1: So we've had, you know, some Democrats and several Republicans 1546 01:26:01,320 --> 01:26:04,559 Speaker 1: show interest in this, and I spent a lot of 1547 01:26:04,600 --> 01:26:07,480 Speaker 1: today telling them, go find a Democrat, go find a Republican. 1548 01:26:08,600 --> 01:26:11,240 Speaker 1: Some of the people who have shown interest is Andy 1549 01:26:11,240 --> 01:26:17,519 Speaker 1: Barr Rutherford, Nancy Mace, Earl Blumenauer on you know, from 1550 01:26:17,520 --> 01:26:22,679 Speaker 1: the Democrat side. It's interesting and one of the best 1551 01:26:22,680 --> 01:26:25,160 Speaker 1: parts about this caucus is it's it's got a very 1552 01:26:25,200 --> 01:26:30,639 Speaker 1: tight focus on advancing research, funding for research, removing barriers 1553 01:26:30,680 --> 01:26:34,080 Speaker 1: to research, and then when that research is all done, 1554 01:26:34,640 --> 01:26:39,400 Speaker 1: make these have access to all those service Yeah, Marcus, 1555 01:26:40,120 --> 01:26:42,639 Speaker 1: what are some of the John just sort of got 1556 01:26:42,640 --> 01:26:44,360 Speaker 1: into it a little bit, but what are some of 1557 01:26:44,400 --> 01:26:47,880 Speaker 1: the big kind of ticket items that this caucus can 1558 01:26:48,000 --> 01:26:50,920 Speaker 1: help advance? Sort of immediately in a new Congress, we 1559 01:26:51,000 --> 01:26:52,880 Speaker 1: know the margin is going to be slim, which is 1560 01:26:52,920 --> 01:26:56,400 Speaker 1: great for bipartisan efforts and especially great for by partisan 1561 01:26:56,439 --> 01:26:59,720 Speaker 1: efforts that have specific legislative items on their agenda. So 1562 01:27:00,040 --> 01:27:01,840 Speaker 1: what are you most hopeful for and what do you 1563 01:27:01,960 --> 01:27:06,080 Speaker 1: hope that they're they're looking at right away come January. Well, 1564 01:27:06,080 --> 01:27:09,120 Speaker 1: I think the most important thing that the public just 1565 01:27:09,160 --> 01:27:12,320 Speaker 1: needs to understand is that we're just trying to advance 1566 01:27:12,439 --> 01:27:14,920 Speaker 1: research in the field of psychedelic medicine. You know, I 1567 01:27:14,960 --> 01:27:19,320 Speaker 1: think you know, in the fifties and sixties, psychedelics got 1568 01:27:19,320 --> 01:27:21,920 Speaker 1: a very bad name. These were medicines that were used 1569 01:27:21,920 --> 01:27:26,639 Speaker 1: as recreational drugs. We need to steer completely clear that 1570 01:27:27,000 --> 01:27:30,360 Speaker 1: these are, you know, medicines that need to be applied 1571 01:27:30,400 --> 01:27:34,880 Speaker 1: with therapeutic use and medical application. I think if everyone 1572 01:27:34,880 --> 01:27:40,400 Speaker 1: can wrap their head around these being medicines that needs 1573 01:27:40,720 --> 01:27:43,960 Speaker 1: wrap around preparation, integration support, I think all of us 1574 01:27:43,960 --> 01:27:48,840 Speaker 1: can agree when they're implied in a controlled environment, as 1575 01:27:48,880 --> 01:27:50,600 Speaker 1: we're starting to see in some of the research that 1576 01:27:50,600 --> 01:27:54,240 Speaker 1: are coming out, these are medicines that provide true dealing 1577 01:27:54,320 --> 01:27:58,080 Speaker 1: compared to some of the you know, current I guess 1578 01:27:58,320 --> 01:28:00,759 Speaker 1: old treatment modalities that we've been using now from thirty 1579 01:28:00,800 --> 01:28:05,479 Speaker 1: five years. Are you are you facing any opposition from 1580 01:28:06,000 --> 01:28:12,360 Speaker 1: the pharmaceutical industry, John, or are they still seeing are 1581 01:28:12,360 --> 01:28:15,439 Speaker 1: they still not threatened by the kind of the rise 1582 01:28:15,560 --> 01:28:21,000 Speaker 1: of therapeutic psychedelics. What do they think they can get 1583 01:28:21,040 --> 01:28:25,120 Speaker 1: in on it? Yeah, I will say I think they 1584 01:28:25,479 --> 01:28:27,320 Speaker 1: think they can get in on it. I mean, let's 1585 01:28:27,320 --> 01:28:29,360 Speaker 1: look at big Pharma. A lot of what they do 1586 01:28:29,560 --> 01:28:32,840 Speaker 1: is they go buy companies who have new technologies. They 1587 01:28:32,840 --> 01:28:37,360 Speaker 1: don't really create new things themselves, they just go buy them. 1588 01:28:37,439 --> 01:28:39,599 Speaker 1: So I do think that some of these companies may 1589 01:28:40,280 --> 01:28:43,200 Speaker 1: eventually be bought out by a Pfizer or a merk 1590 01:28:44,960 --> 01:28:48,800 Speaker 1: especially the for profit companies. That may not happen. They've 1591 01:28:48,920 --> 01:28:52,080 Speaker 1: pretty much stayed out of it. They haven't invested their 1592 01:28:52,080 --> 01:28:55,040 Speaker 1: capital and their lobbying time and all of this. You know, 1593 01:28:55,240 --> 01:28:59,840 Speaker 1: we're not part of big pharma in any way, and 1594 01:29:00,040 --> 01:29:04,439 Speaker 1: they've stayed away from us. They know it's eventually coming, 1595 01:29:04,560 --> 01:29:08,640 Speaker 1: but there's also delays, but there is opposition. You know, 1596 01:29:08,680 --> 01:29:12,320 Speaker 1: a couple of weeks ago, you were talking on this 1597 01:29:12,360 --> 01:29:14,640 Speaker 1: show about some things that Jess Waters had said on 1598 01:29:14,720 --> 01:29:20,400 Speaker 1: Fox News. And there's other pushback, in part due to 1599 01:29:20,560 --> 01:29:25,400 Speaker 1: negative outcomes because these substances aren't always used in a 1600 01:29:25,439 --> 01:29:29,320 Speaker 1: therapeutic environment. They aren't always used in you know, with 1601 01:29:29,479 --> 01:29:33,679 Speaker 1: proper integration, proper preparation, properly trained therapists and other people 1602 01:29:34,680 --> 01:29:37,439 Speaker 1: who can help people heal, and both of you can 1603 01:29:37,439 --> 01:29:40,200 Speaker 1: speak to this, but I'll start with you, Marcus. How 1604 01:29:40,439 --> 01:29:44,800 Speaker 1: it's specifically beneficial to talk about the experience of veterans 1605 01:29:45,520 --> 01:29:47,840 Speaker 1: who are helped by these treatments. I mean, obviously the 1606 01:29:47,920 --> 01:29:50,839 Speaker 1: evidence suggests a lot of people can benefit from these treatments, 1607 01:29:50,880 --> 01:29:53,400 Speaker 1: but I imagine, especially when you're going to members of Congress, 1608 01:29:53,720 --> 01:29:55,920 Speaker 1: being able to talk about the experience of vets has 1609 01:29:56,000 --> 01:30:01,200 Speaker 1: to be a powerful tool for advancing that cause. More broadly. Yeah, 1610 01:30:01,200 --> 01:30:04,600 Speaker 1: it's extremely powerful. You know, we've been My wife and 1611 01:30:04,640 --> 01:30:08,680 Speaker 1: I started BESTS five years ago after you know, my 1612 01:30:08,760 --> 01:30:15,600 Speaker 1: successful experience with treatment down in Mexico at a reputable retreat. 1613 01:30:15,920 --> 01:30:19,439 Speaker 1: I had been on from that moment, i'd say seven 1614 01:30:19,560 --> 01:30:24,040 Speaker 1: years straight of antidepressants, and at one point I was 1615 01:30:24,120 --> 01:30:28,200 Speaker 1: taking up to ten prescription medicines to include you know, 1616 01:30:28,280 --> 01:30:31,879 Speaker 1: medicines to focus new vigil and provigil and anti depressed. 1617 01:30:31,920 --> 01:30:36,519 Speaker 1: This SSNR, excuse me, s SRIS SNRIs medicine to go 1618 01:30:36,560 --> 01:30:40,880 Speaker 1: to sleep. The day I or i'd say the week 1619 01:30:41,240 --> 01:30:44,599 Speaker 1: that I went to this retreat, I haven't touched an 1620 01:30:44,640 --> 01:30:49,120 Speaker 1: antidepressant or another pharmaceutical. Now in five years, the healing 1621 01:30:49,200 --> 01:30:54,640 Speaker 1: was so profound, we felt really necessary that we had 1622 01:30:54,680 --> 01:30:58,240 Speaker 1: to pay it forward to my community, the seal community 1623 01:30:58,240 --> 01:31:00,800 Speaker 1: that was coming back from twenty years of is same combat. 1624 01:31:01,760 --> 01:31:04,320 Speaker 1: You know, many of my friends are struggling the same 1625 01:31:04,320 --> 01:31:06,320 Speaker 1: way I did, and we felt the need to pay 1626 01:31:06,320 --> 01:31:09,439 Speaker 1: it forward. And what we thought we wanted to get 1627 01:31:09,760 --> 01:31:12,920 Speaker 1: twelve individuals the first year, I think we funded thirty 1628 01:31:12,960 --> 01:31:16,160 Speaker 1: five and now to date, five years later, our nonprofit 1629 01:31:16,240 --> 01:31:19,880 Speaker 1: is funded at roughly fifty five hundred per individual, almost 1630 01:31:19,880 --> 01:31:23,960 Speaker 1: seven hundred other special operations veterans to receive the same treatment. 1631 01:31:24,120 --> 01:31:28,920 Speaker 1: And you know, these the testimonies that we get are unbelievable. 1632 01:31:28,960 --> 01:31:32,479 Speaker 1: It makes us keep going these medicines again, as you 1633 01:31:32,520 --> 01:31:37,679 Speaker 1: know Jonathan pointed out, done in a controlled environment, life saving, 1634 01:31:37,720 --> 01:31:42,760 Speaker 1: life changing, it's keeping families together, it's making individuals, you know, 1635 01:31:42,960 --> 01:31:46,040 Speaker 1: connect back with their spouse, their loved ones, their children, 1636 01:31:46,080 --> 01:31:48,439 Speaker 1: and this is generational healing. And so we just need 1637 01:31:48,439 --> 01:31:51,080 Speaker 1: to continue on and do the smartly. You know, we 1638 01:31:51,080 --> 01:31:56,000 Speaker 1: don't want another Timothy Larry moment to happen. Marcus, did 1639 01:31:56,000 --> 01:32:00,559 Speaker 1: you say I began? Is it? I didn't say anything 1640 01:32:00,560 --> 01:32:06,599 Speaker 1: that you did okay, do you have any if if 1641 01:32:06,680 --> 01:32:09,839 Speaker 1: people are uh, you have to do this in Mexico 1642 01:32:09,960 --> 01:32:13,120 Speaker 1: or somewhere else. You can't do this in the United States. Legal, Yeah, 1643 01:32:13,160 --> 01:32:15,760 Speaker 1: we we can't fund any anybody where these medicines are 1644 01:32:15,760 --> 01:32:19,479 Speaker 1: not legal. So in countries where they're legal, certain medicines 1645 01:32:19,520 --> 01:32:21,960 Speaker 1: are legal in Mexico, some in Costa Rica and Peru, 1646 01:32:22,560 --> 01:32:24,800 Speaker 1: some in some countries in Europe, and so we have 1647 01:32:24,840 --> 01:32:28,000 Speaker 1: to be very careful. Do you have any do you 1648 01:32:28,040 --> 01:32:30,320 Speaker 1: have any advice for people who are who are suffering, 1649 01:32:30,400 --> 01:32:34,200 Speaker 1: who are who are trying to search for medicine solutions 1650 01:32:34,240 --> 01:32:37,439 Speaker 1: outside of the country and so that they stay safe. 1651 01:32:37,560 --> 01:32:41,400 Speaker 1: What what? What are the ways you can identify facilities 1652 01:32:41,640 --> 01:32:43,960 Speaker 1: that are safe versus ones that are just in it 1653 01:32:44,000 --> 01:32:47,400 Speaker 1: for a buck. Yeah, there's plenty out there. As you 1654 01:32:47,400 --> 01:32:49,240 Speaker 1: can imagine, all of a sudden, there's a lot of 1655 01:32:49,439 --> 01:32:52,880 Speaker 1: quote unquote you know, pop up medicinal shamans that all 1656 01:32:52,880 --> 01:32:56,240 Speaker 1: of a sudden think they know what they're doing. But uh, 1657 01:32:56,280 --> 01:32:58,400 Speaker 1: you know, we're so early. This is uh, you know, 1658 01:32:58,479 --> 01:33:03,719 Speaker 1: ground floor. Even though there are of course different communities 1659 01:33:03,760 --> 01:33:05,840 Speaker 1: that have been using these medicines for thousands of years, 1660 01:33:05,880 --> 01:33:08,599 Speaker 1: but they've they've grown up, you know, using these medicines, 1661 01:33:08,640 --> 01:33:11,160 Speaker 1: and individuals have to be really careful, you know, I 1662 01:33:11,200 --> 01:33:14,200 Speaker 1: definitely don't recommend, uh, you know, somebody just hopping on 1663 01:33:14,200 --> 01:33:16,000 Speaker 1: a plane and going to a random place and hoping, 1664 01:33:16,439 --> 01:33:18,880 Speaker 1: you know, they get a life changing experience. I mean, 1665 01:33:18,880 --> 01:33:21,799 Speaker 1: we've put a lot of effort, a lot of research. 1666 01:33:22,360 --> 01:33:24,719 Speaker 1: You know, we're using experts at a lot of the 1667 01:33:24,760 --> 01:33:28,360 Speaker 1: top medical institutions Johns Hopkins and Stanford and Harvard and 1668 01:33:28,520 --> 01:33:32,160 Speaker 1: Mount Sinai to help us. But it's so early on. 1669 01:33:32,240 --> 01:33:33,960 Speaker 1: We really need to see the research, you know. I 1670 01:33:34,040 --> 01:33:36,599 Speaker 1: wish I could say, if you're really struggling, go hop 1671 01:33:36,640 --> 01:33:38,400 Speaker 1: in a plane and find one of these places, but 1672 01:33:38,600 --> 01:33:40,000 Speaker 1: it's not the way to do it. I think we 1673 01:33:40,080 --> 01:33:43,160 Speaker 1: have to be really careful because again, there are risks 1674 01:33:43,280 --> 01:33:47,040 Speaker 1: to these medicines if done incorrectly. John, before we run, 1675 01:33:47,160 --> 01:33:49,200 Speaker 1: can you tell us you know, there are a lot 1676 01:33:49,200 --> 01:33:52,280 Speaker 1: of causes that aren't able to organize to the degree 1677 01:33:52,280 --> 01:33:55,120 Speaker 1: that this one really is starting to. And now with 1678 01:33:55,200 --> 01:33:57,599 Speaker 1: the addition of the story that Ryan and you guys 1679 01:33:57,640 --> 01:34:01,960 Speaker 1: broke heure tonight, what does the US add the caucus 1680 01:34:02,000 --> 01:34:04,600 Speaker 1: sort of what does it contribute to the momentum of 1681 01:34:04,640 --> 01:34:07,720 Speaker 1: the movement going forward. What does this mean for the 1682 01:34:07,760 --> 01:34:13,080 Speaker 1: movement overall, Well, the biggest thing is it's both sides 1683 01:34:13,120 --> 01:34:17,320 Speaker 1: coming together and having a voice and being able to 1684 01:34:17,360 --> 01:34:20,240 Speaker 1: push out and talk about. One of the things I 1685 01:34:20,280 --> 01:34:23,120 Speaker 1: know the caucus planning on is for briefings next year 1686 01:34:23,560 --> 01:34:28,200 Speaker 1: on various topics involving psychedelics to inform all members of Congress. 1687 01:34:30,280 --> 01:34:34,759 Speaker 1: They'll eventually be legislation and you know, amendments and other things. 1688 01:34:35,760 --> 01:34:37,479 Speaker 1: The biggest thing is this is the left and the 1689 01:34:37,560 --> 01:34:42,799 Speaker 1: right coming together saying, look, medical shows this amazing potential 1690 01:34:42,840 --> 01:34:45,960 Speaker 1: to change lives. We need to get you know, get 1691 01:34:45,960 --> 01:34:48,760 Speaker 1: the research done, get the answers we need, and get 1692 01:34:48,760 --> 01:34:51,160 Speaker 1: people to help they need. Then we can deal with 1693 01:34:51,160 --> 01:34:54,120 Speaker 1: some of the other larger questions on spiritual use and 1694 01:34:54,680 --> 01:35:00,479 Speaker 1: other things. But this prevents things from going off the 1695 01:35:00,560 --> 01:35:02,519 Speaker 1: rails the way they did in the seventies that led 1696 01:35:02,520 --> 01:35:05,639 Speaker 1: to a backlash and all these things being made illegal 1697 01:35:05,800 --> 01:35:11,040 Speaker 1: and unavailable and unresearchable. Having a caucus, you know, led 1698 01:35:11,080 --> 01:35:15,000 Speaker 1: by by people like Luke Korea and Jack Bergman with 1699 01:35:15,080 --> 01:35:17,080 Speaker 1: what they bring to the table, as well as some 1700 01:35:17,160 --> 01:35:21,280 Speaker 1: of these other people who have shown interest, it's the 1701 01:35:21,320 --> 01:35:24,040 Speaker 1: way to keep things on the straight and narrow and preventing, 1702 01:35:24,360 --> 01:35:26,799 Speaker 1: you know, as Marcus said, a Timothy Leary moment where 1703 01:35:26,880 --> 01:35:30,320 Speaker 1: everything goes off the rails. Everybody says, no, stop it, 1704 01:35:30,840 --> 01:35:34,000 Speaker 1: because the second that happens, I know I have friends 1705 01:35:34,040 --> 01:35:36,920 Speaker 1: that that's a death sentence for I know Marcus has 1706 01:35:36,960 --> 01:35:42,120 Speaker 1: friends the same thing, and I can't personally allow that 1707 01:35:42,160 --> 01:35:47,559 Speaker 1: to happen. And Marcus about twenty years ago, I was 1708 01:35:47,600 --> 01:35:51,360 Speaker 1: say lobbyist, state level lobbyist for medical marijuana, and one 1709 01:35:51,360 --> 01:35:53,519 Speaker 1: of the things that we had to overcome at the 1710 01:35:53,560 --> 01:35:56,240 Speaker 1: time was kind of the laugh factor, the chuckle factor, 1711 01:35:56,520 --> 01:36:01,479 Speaker 1: like people didn't really take it seriously. Today, so many 1712 01:36:01,479 --> 01:36:04,839 Speaker 1: people know, so many people who are you know, cancer 1713 01:36:04,880 --> 01:36:08,040 Speaker 1: patients and others who are who are seriously benefiting from it, 1714 01:36:08,120 --> 01:36:11,439 Speaker 1: that that's that's that's no longer an obstacle for those 1715 01:36:11,680 --> 01:36:17,400 Speaker 1: those policy advances. What what kind of familiarity with the 1716 01:36:17,400 --> 01:36:20,200 Speaker 1: therapeutic value of psychedelics are you finding when you talk 1717 01:36:20,240 --> 01:36:22,680 Speaker 1: to people on the hill. I'm curious, both when it 1718 01:36:22,680 --> 01:36:25,200 Speaker 1: comes to staffers, but also when it comes to two 1719 01:36:25,200 --> 01:36:28,400 Speaker 1: members of Congress, are they have they heard enough about 1720 01:36:28,439 --> 01:36:30,960 Speaker 1: it yet from people close to them that they're that 1721 01:36:31,120 --> 01:36:33,960 Speaker 1: they're taking it seriously or are you just are you 1722 01:36:34,000 --> 01:36:37,599 Speaker 1: getting are you more often you just getting jokes? Yeah, 1723 01:36:37,680 --> 01:36:41,040 Speaker 1: you know, that's a great question. Definitely, don't you know, 1724 01:36:41,080 --> 01:36:43,080 Speaker 1: I don't. I don't want to get in cannabis. I 1725 01:36:43,120 --> 01:36:46,200 Speaker 1: don't really, you know, I don't understand the cannabis fight, 1726 01:36:46,240 --> 01:36:49,880 Speaker 1: but I do understand the psychedelic medicine fight. We're getting. 1727 01:36:49,920 --> 01:36:52,320 Speaker 1: We're seeing things across the board, so we are seeing 1728 01:36:54,320 --> 01:36:59,160 Speaker 1: individuals that have been hearing about the research. We definitely 1729 01:36:59,160 --> 01:37:01,000 Speaker 1: know there's a lot of staff, I think because they're 1730 01:37:01,040 --> 01:37:04,200 Speaker 1: younger and they might be connected to individuals that have 1731 01:37:04,439 --> 01:37:09,280 Speaker 1: been you know, have attended these retreats or have done say, 1732 01:37:09,360 --> 01:37:12,200 Speaker 1: you know, ketamine assistant psychotherapy here in the in the States, 1733 01:37:12,200 --> 01:37:16,280 Speaker 1: that is, you know, being used legally off label in clinics. 1734 01:37:17,680 --> 01:37:25,280 Speaker 1: There's definitely most of the leaders you know on Capitol 1735 01:37:25,360 --> 01:37:28,280 Speaker 1: Hill have at least one degree of separation of an 1736 01:37:28,320 --> 01:37:31,719 Speaker 1: individual that has been in the military, that have served, 1737 01:37:31,720 --> 01:37:34,400 Speaker 1: that has come back and that are struggling with miles 1738 01:37:34,400 --> 01:37:38,800 Speaker 1: traumatic brain injury or PTSD. You know, many that we 1739 01:37:38,880 --> 01:37:41,000 Speaker 1: have talked to have taken their own lives. Others that 1740 01:37:41,040 --> 01:37:44,240 Speaker 1: are just really struggling with opioid or alcohol use disorder, 1741 01:37:44,680 --> 01:37:48,320 Speaker 1: and so you know, they've been through the kind of 1742 01:37:48,360 --> 01:37:53,280 Speaker 1: Western medicine approach of these antidepressants and mood stabilizers and 1743 01:37:53,320 --> 01:37:56,320 Speaker 1: brain clinics and talk therapy. It's just not working for 1744 01:37:56,400 --> 01:38:00,479 Speaker 1: a lot of us. And you know, when you find 1745 01:38:00,600 --> 01:38:06,360 Speaker 1: something that is so healing, you know, you just want 1746 01:38:06,400 --> 01:38:08,799 Speaker 1: to be able to share and be able to introduce 1747 01:38:08,800 --> 01:38:11,200 Speaker 1: it to everybody else so they can also you know, 1748 01:38:11,400 --> 01:38:13,599 Speaker 1: enjoy the life that you know, I feel like I'm 1749 01:38:13,640 --> 01:38:16,439 Speaker 1: living right now, and and Jonathan and others, and so 1750 01:38:16,840 --> 01:38:19,960 Speaker 1: you know, we'll do everything we can to you know, 1751 01:38:20,200 --> 01:38:22,760 Speaker 1: I think the biggest thing we one hundred need the 1752 01:38:22,800 --> 01:38:26,000 Speaker 1: science that's going to happen. We know for a fact 1753 01:38:26,000 --> 01:38:28,479 Speaker 1: this won't happen with out science and research, but we 1754 01:38:28,520 --> 01:38:30,240 Speaker 1: do need a lot of storytelling. A lot of these 1755 01:38:30,240 --> 01:38:34,040 Speaker 1: anecdotal stories are very real. You know, my wife and 1756 01:38:34,080 --> 01:38:37,200 Speaker 1: I every day receive you know, text messages and emails 1757 01:38:37,200 --> 01:38:39,559 Speaker 1: and say, hey, you know you save my life, you 1758 01:38:39,600 --> 01:38:43,160 Speaker 1: save my family. I don't know how much more you need, 1759 01:38:43,400 --> 01:38:45,639 Speaker 1: uh than seeing those and it kind of what keeps 1760 01:38:45,680 --> 01:38:48,439 Speaker 1: us going every day. And so you know, with the 1761 01:38:48,560 --> 01:38:52,240 Speaker 1: introduction of this caucus, uh, you know, the introduction from 1762 01:38:52,320 --> 01:38:56,639 Speaker 1: Dan Crenshaw with the NDAA amendment that again will hopefully 1763 01:38:56,680 --> 01:39:00,240 Speaker 1: release federal dollars to study these medicines more. I think 1764 01:39:00,280 --> 01:39:02,439 Speaker 1: we're on a really good track and in a really 1765 01:39:02,439 --> 01:39:04,719 Speaker 1: good place. And again we just have to be careful 1766 01:39:05,040 --> 01:39:06,920 Speaker 1: and how we roll this out and make sure we're 1767 01:39:06,920 --> 01:39:12,360 Speaker 1: doing it safe and you know, to protect to protect everyone. Well, 1768 01:39:12,720 --> 01:39:14,599 Speaker 1: Marks and John, you guys are doing the Lord's work. 1769 01:39:14,880 --> 01:39:17,400 Speaker 1: Thank you so much for joining us, and congratulations on 1770 01:39:17,520 --> 01:39:21,840 Speaker 1: the advent of this new caucus. Thank you so much. 1771 01:39:21,920 --> 01:39:28,360 Speaker 1: Appreciate the time tonight. Yeah, hopefully they call it Noah's 1772 01:39:28,400 --> 01:39:30,120 Speaker 1: Ark on the Hill. You know this where they go 1773 01:39:30,160 --> 01:39:33,439 Speaker 1: two by two. So if you're going to come on, 1774 01:39:33,520 --> 01:39:36,640 Speaker 1: if you're going to join the caucus, you have to 1775 01:39:36,240 --> 01:39:38,800 Speaker 1: bring a Democrat with you in there. So they're trying 1776 01:39:39,040 --> 01:39:42,519 Speaker 1: to get people who are considered to be kind of 1777 01:39:43,080 --> 01:39:46,879 Speaker 1: moderates and so that it's something that gets taken seriously, 1778 01:39:46,880 --> 01:39:51,280 Speaker 1: because if you could get ten twenty folks on this 1779 01:39:51,360 --> 01:39:54,479 Speaker 1: caucus like that, that's a swing block that can then 1780 01:39:54,880 --> 01:39:57,000 Speaker 1: go to McCarthy and say, look, you want our votes, 1781 01:39:57,680 --> 01:39:59,800 Speaker 1: then we you know, we just want you to free 1782 01:39:59,840 --> 01:40:03,840 Speaker 1: up some or just ease some of the laws. That 1783 01:40:03,880 --> 01:40:05,360 Speaker 1: allow the funding to flow. You don't even have to 1784 01:40:05,880 --> 01:40:08,439 Speaker 1: you don't necessarily even need tax payer money. Well, yeah, 1785 01:40:08,479 --> 01:40:10,400 Speaker 1: the importance of it is what you just said. It 1786 01:40:10,439 --> 01:40:13,000 Speaker 1: can be a swing block. So good for them for organizing. 1787 01:40:13,040 --> 01:40:17,040 Speaker 1: Like you said, they're doing the Lord's work. Well, thanks 1788 01:40:17,040 --> 01:40:22,320 Speaker 1: for watching other counterpoints. Friday is next week Thanksgiving. We're 1789 01:40:22,360 --> 01:40:25,439 Speaker 1: gonna take it a little bit early, right, so they'll 1790 01:40:25,479 --> 01:40:27,720 Speaker 1: be I believe, a Wednesday show next week, so we 1791 01:40:27,760 --> 01:40:29,920 Speaker 1: can send you to your families with plenty of fodder 1792 01:40:30,080 --> 01:40:35,400 Speaker 1: for a dinner table discussion. Yeah, there you go. Be 1793 01:40:35,479 --> 01:40:38,759 Speaker 1: well behaved. Not everything has to be a fight. Well, 1794 01:40:38,600 --> 01:40:40,760 Speaker 1: we can give that advice next week. Maybe next week. 1795 01:40:40,800 --> 01:40:44,800 Speaker 1: What we'll do is give our Thanksgiving throw down. Pon 1796 01:40:44,880 --> 01:40:48,719 Speaker 1: your uncle. Yeah exactly. I have a great weekend, everybody,