1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:12,320 Speaker 1: today's best minds, and Lisa Murkowski says it's dangerous for 4 00:00:12,480 --> 00:00:15,400 Speaker 1: us in the legislative branch. We have such a great 5 00:00:15,400 --> 00:00:18,720 Speaker 1: show for you today, the Lincoln Projects owen Rick Wilson 6 00:00:18,840 --> 00:00:23,160 Speaker 1: joins us to discuss the No Kings protest, Trump's sad 7 00:00:23,320 --> 00:00:28,479 Speaker 1: Birthday parade, and political violence. Then we'll talk to James 8 00:00:28,560 --> 00:00:32,520 Speaker 1: Kimmel about his new book, The Science of Revenge, Understanding 9 00:00:32,560 --> 00:00:35,440 Speaker 1: the world's deadliest addiction and how to overcome it. But 10 00:00:35,520 --> 00:00:36,240 Speaker 1: first the news. 11 00:00:36,560 --> 00:00:39,160 Speaker 2: So, Molly, one of the things I feared the most 12 00:00:39,159 --> 00:00:42,440 Speaker 2: as being a pro union person is how much progress 13 00:00:42,479 --> 00:00:45,320 Speaker 2: we were making underbided and that the second Trump got 14 00:00:45,320 --> 00:00:47,800 Speaker 2: in that they would be doing everything they can to 15 00:00:47,840 --> 00:00:48,480 Speaker 2: call it back. 16 00:00:48,720 --> 00:00:49,879 Speaker 3: Well, we're starting to see that. 17 00:00:50,080 --> 00:00:52,120 Speaker 2: I didn't think it would be very high on their priorities, 18 00:00:52,159 --> 00:00:54,760 Speaker 2: And yeah, it seems like they're getting down to it fively. 19 00:00:55,200 --> 00:00:58,000 Speaker 1: And by the way, can I just add the big 20 00:00:58,120 --> 00:01:04,040 Speaker 1: union right, the auto Workers did not endorse Harris. They 21 00:01:05,640 --> 00:01:07,080 Speaker 1: refused to endorse right. 22 00:01:07,400 --> 00:01:07,640 Speaker 3: Yeah. 23 00:01:08,120 --> 00:01:09,680 Speaker 2: One of the things that I think is very interesting 24 00:01:09,720 --> 00:01:12,000 Speaker 2: about union culture, right, now is that we are seeing 25 00:01:12,040 --> 00:01:15,160 Speaker 2: such partisanship of their ranks that the leadership is actually 26 00:01:15,200 --> 00:01:17,400 Speaker 2: fearful of what happens. We're even seeing that at our 27 00:01:17,440 --> 00:01:19,880 Speaker 2: mayoral election right now with a lot of the unions. 28 00:01:20,120 --> 00:01:24,240 Speaker 1: Yeah, so here are unions, a lot of their members 29 00:01:24,280 --> 00:01:29,839 Speaker 1: are voting for Trump, and there people are getting punished 30 00:01:29,840 --> 00:01:33,120 Speaker 1: by trump Ism. The arrest and violent man handling of 31 00:01:33,160 --> 00:01:37,520 Speaker 1: the president of the Service Employees International Union of California 32 00:01:37,760 --> 00:01:41,640 Speaker 1: suggests that Trump is targeting union leaders for arrest. So 33 00:01:41,800 --> 00:01:45,520 Speaker 1: this is like right out of the authoritarian playbook, right. 34 00:01:45,600 --> 00:01:50,440 Speaker 1: You don't want collective fargeting because it makes workers more powerful. 35 00:01:50,600 --> 00:01:54,240 Speaker 1: You don't want powerful workers because it makes the president 36 00:01:54,360 --> 00:01:59,160 Speaker 1: less powerful. Remember when whenever you see stuff like this happening, 37 00:01:59,520 --> 00:02:01,680 Speaker 1: ask yoursel who does it hurt? Who does it help? 38 00:02:01,800 --> 00:02:04,640 Speaker 1: And with so much of this, Trump's whole goal is 39 00:02:04,680 --> 00:02:08,280 Speaker 1: to expand presidential power, right as we saw in Project 40 00:02:08,320 --> 00:02:11,000 Speaker 1: twenty twenty five. He wants to grow the executive branch 41 00:02:11,040 --> 00:02:14,160 Speaker 1: and shrink the other branches. Now, Republicans in Congress are 42 00:02:14,160 --> 00:02:16,799 Speaker 1: happy to do this, They're happy to give him the power. 43 00:02:17,000 --> 00:02:19,360 Speaker 1: But this is a really good example of ways in 44 00:02:19,400 --> 00:02:22,839 Speaker 1: which the Trump administration is trying to grow its power. Look, 45 00:02:22,919 --> 00:02:26,480 Speaker 1: they want to silence dissent, right Their labor unions are 46 00:02:26,480 --> 00:02:28,760 Speaker 1: trying to push back. But you know, they they have 47 00:02:29,120 --> 00:02:33,480 Speaker 1: really kneecapped themselves by electing Donald Trump. It's one of 48 00:02:33,520 --> 00:02:36,640 Speaker 1: these things where I don't know how you know, a 49 00:02:36,680 --> 00:02:40,000 Speaker 1: lot of this late the labor protection, the negotiating protection 50 00:02:40,240 --> 00:02:42,560 Speaker 1: is being rolled back right now at the state level 51 00:02:42,600 --> 00:02:44,640 Speaker 1: and a lot of red states, and at the federal 52 00:02:44,720 --> 00:02:48,120 Speaker 1: level too. And you know, these people, a lot of 53 00:02:48,160 --> 00:02:51,240 Speaker 1: these people voted for Trump. They voted for Republicans. You know, 54 00:02:51,320 --> 00:02:54,480 Speaker 1: they didn't make the connection between being in a union 55 00:02:55,120 --> 00:02:57,720 Speaker 1: and the Republicans war with unions. 56 00:02:58,080 --> 00:02:58,320 Speaker 3: Yeah. 57 00:02:58,600 --> 00:03:03,440 Speaker 2: So, speaking of unforeseen consequences, the washingt Post has some 58 00:03:03,480 --> 00:03:07,760 Speaker 2: great journalism about how vaccine critics appointed by RFK Junior 59 00:03:07,880 --> 00:03:10,040 Speaker 2: are going to limit access to shots. 60 00:03:10,520 --> 00:03:16,480 Speaker 1: This is not even unforeseen, this is foreseen. Well, this 61 00:03:16,720 --> 00:03:19,320 Speaker 1: fucking guy was going to make it hard to get vaccines. 62 00:03:19,480 --> 00:03:20,040 Speaker 3: We saw it. 63 00:03:20,080 --> 00:03:22,480 Speaker 2: But I would argue that a lot of people were like, no, no, 64 00:03:22,560 --> 00:03:23,320 Speaker 2: it's fine. 65 00:03:23,680 --> 00:03:26,359 Speaker 1: Well we've had people on this podcast who said you're 66 00:03:26,360 --> 00:03:28,720 Speaker 1: not going to be able to get somebody. Yes, that's 67 00:03:28,760 --> 00:03:31,680 Speaker 1: where we are right now. So Robert F. Kennedy Junior's 68 00:03:31,760 --> 00:03:35,840 Speaker 1: overhaul of the Federal Immunization Panel will create uncertainty about 69 00:03:35,840 --> 00:03:39,119 Speaker 1: how widely vaccines will be available. So these recommendations will 70 00:03:39,160 --> 00:03:43,080 Speaker 1: mean that the vaccines that are covered by insurance or 71 00:03:43,200 --> 00:03:49,760 Speaker 1: medicaid may not be covered anymore, because my man RFK 72 00:03:50,000 --> 00:03:54,680 Speaker 1: Junior will say he doesn't think that people need measles 73 00:03:54,800 --> 00:03:58,560 Speaker 1: or mumps, or rubella or chicken pox or all the 74 00:03:58,640 --> 00:04:02,920 Speaker 1: vaccines that keep us safe. Look, this is because of COVID. Right. 75 00:04:03,000 --> 00:04:08,040 Speaker 1: COVID made everyone lose their brains. A significant, small, but 76 00:04:08,120 --> 00:04:10,960 Speaker 1: significant part of the American population decided that they were 77 00:04:10,960 --> 00:04:14,760 Speaker 1: going to get tripped by grifters and snake oil salesmen 78 00:04:15,000 --> 00:04:18,240 Speaker 1: like RFK Junior. And this is how we got here. 79 00:04:18,360 --> 00:04:21,679 Speaker 1: So our FK Junior now running our country's house, we're 80 00:04:21,720 --> 00:04:25,760 Speaker 1: all completely fucked. Did I mention that we have children 81 00:04:25,839 --> 00:04:31,640 Speaker 1: dying of measles that was never needed? So many things 82 00:04:31,839 --> 00:04:36,560 Speaker 1: could have been prevented. We're seeing the Trump administration just 83 00:04:37,279 --> 00:04:42,159 Speaker 1: once again falling apart, elevating people who are incompetent. Now 84 00:04:42,160 --> 00:04:45,640 Speaker 1: we have RFK Junior, a complete grifter. Every day, we 85 00:04:45,680 --> 00:04:47,320 Speaker 1: don't have a pandemic as a miracle. 86 00:04:47,680 --> 00:04:49,720 Speaker 2: Yeah, and you know a funny thing would I went 87 00:04:49,720 --> 00:04:52,360 Speaker 2: to Canada last week. I was very funny the subtle 88 00:04:52,440 --> 00:04:55,960 Speaker 2: shade that the border crossing through at Americans of like 89 00:04:56,200 --> 00:04:56,960 Speaker 2: measles is. 90 00:04:56,920 --> 00:04:58,479 Speaker 3: Now on the rise in Canada. 91 00:04:58,720 --> 00:05:02,520 Speaker 2: I wonder why, please please be sure to not bring 92 00:05:02,600 --> 00:05:04,080 Speaker 2: it here, Thank you very much. 93 00:05:04,560 --> 00:05:06,840 Speaker 1: Yeah, the worst so by. 94 00:05:06,920 --> 00:05:09,240 Speaker 2: One of the things we discussed last week is Trump 95 00:05:09,320 --> 00:05:11,320 Speaker 2: had all these tweets where it's started to seem like 96 00:05:11,360 --> 00:05:14,279 Speaker 2: he's going a little soft on Steven Miller's vision of 97 00:05:14,360 --> 00:05:15,960 Speaker 2: a white no state. 98 00:05:16,760 --> 00:05:19,760 Speaker 3: And Axios has some interesting reporting here. What do you see? 99 00:05:20,080 --> 00:05:23,680 Speaker 1: You'll be shocked to know that rich guy talks to 100 00:05:23,760 --> 00:05:28,000 Speaker 1: other rich people. Other rich people say, you know, as 101 00:05:28,040 --> 00:05:31,560 Speaker 1: much as we love the visual of your guys hunting 102 00:05:31,720 --> 00:05:35,760 Speaker 1: farmers in the field, hunting agriculture workers, as much as 103 00:05:35,760 --> 00:05:40,080 Speaker 1: that's fun for us, it's hurting our business. These are jobs, 104 00:05:40,120 --> 00:05:44,719 Speaker 1: and Americans do not want agricultural workers. They're tough jobs, 105 00:05:44,720 --> 00:05:47,400 Speaker 1: they're hard work, they're in the field. We can get 106 00:05:47,400 --> 00:05:51,440 Speaker 1: Americans to take like manufacturing jobs, let alone jobs working 107 00:05:51,480 --> 00:05:54,880 Speaker 1: in the field. The people who do these jobs keep 108 00:05:54,960 --> 00:05:58,520 Speaker 1: us from starving, and we're so lucky to have them. 109 00:05:58,960 --> 00:06:02,560 Speaker 1: So we have Hatum King a senior ice official. I'm 110 00:06:02,600 --> 00:06:05,640 Speaker 1: sure this person is a great person, sending an email 111 00:06:05,680 --> 00:06:09,240 Speaker 1: to agency officials nationwide telling them to please hold on 112 00:06:09,480 --> 00:06:17,520 Speaker 1: all work site enforcement investigations, operations on agriculture including aquaculture 113 00:06:17,640 --> 00:06:23,480 Speaker 1: and meatpacking plants, restaurants, and operating hotels, especially Trump hotels. Look, 114 00:06:23,640 --> 00:06:27,600 Speaker 1: this was always bullshit. This whole administration is built on 115 00:06:27,640 --> 00:06:32,480 Speaker 1: a lie. Donald Trump always employed workers that had, you know, 116 00:06:33,200 --> 00:06:38,760 Speaker 1: sketchy immigration statuses, always always, So of course they're going 117 00:06:38,839 --> 00:06:42,360 Speaker 1: to make sure that those people don't get to ported 118 00:06:42,480 --> 00:06:45,840 Speaker 1: they need them for these jobs. So here we are. 119 00:06:46,160 --> 00:06:48,880 Speaker 1: Yet again, we could have seen all of this coming 120 00:06:49,400 --> 00:06:55,960 Speaker 1: a million miles away, But here we are. Rick Wilson 121 00:06:56,000 --> 00:06:57,680 Speaker 1: is the founder of the Lincoln Project and the host 122 00:06:57,760 --> 00:07:02,880 Speaker 1: of the Enemy's List Welcome Back, Too Fast Politics fan 123 00:07:03,080 --> 00:07:05,920 Speaker 1: favorite bestie, Rick Wills. 124 00:07:05,920 --> 00:07:08,200 Speaker 3: Man about town, the whole thing? Thank you? How are 125 00:07:08,200 --> 00:07:08,680 Speaker 3: you today? 126 00:07:08,960 --> 00:07:12,840 Speaker 1: Right? Man? About town? If that town is in Florida, Yes, 127 00:07:13,680 --> 00:07:16,800 Speaker 1: under kind of kind of undermines the whole thing, kind 128 00:07:16,800 --> 00:07:17,160 Speaker 1: of Yeah. 129 00:07:17,320 --> 00:07:20,200 Speaker 3: Speaking of Florida, I live, as you know, in the 130 00:07:20,200 --> 00:07:23,800 Speaker 3: middle of a giant ocean of red. Yes, and yet 131 00:07:23,880 --> 00:07:27,320 Speaker 3: somehow in the capital of Florida yesterday five thousand people 132 00:07:27,440 --> 00:07:31,280 Speaker 3: turned up at a protest for No Kings like I 133 00:07:31,400 --> 00:07:33,679 Speaker 3: had never I mean, I've lived here a long time 134 00:07:34,400 --> 00:07:37,400 Speaker 3: and it ordinarily the progressive world manages to get a 135 00:07:37,400 --> 00:07:39,000 Speaker 3: protest with about a half a dozen people on the 136 00:07:39,000 --> 00:07:41,880 Speaker 3: steps of the capitol and one weird sign. This thing 137 00:07:42,000 --> 00:07:45,360 Speaker 3: was wall to wall blocks around the capitol, which. 138 00:07:45,240 --> 00:07:47,920 Speaker 1: Was nuts in Tallahassee. 139 00:07:48,280 --> 00:07:51,600 Speaker 3: Tallahassee, a state that has been dominated by the Republican 140 00:07:51,600 --> 00:07:55,559 Speaker 3: Party for the last twenty five years, managed they managed 141 00:07:55,600 --> 00:07:58,640 Speaker 3: to have two sort of sort of scrubby looking maga 142 00:07:58,680 --> 00:08:02,600 Speaker 3: kids three blocks away hold one sign as a counter protest. 143 00:08:02,640 --> 00:08:05,400 Speaker 3: So I don't know what's going on, but that seemed 144 00:08:05,440 --> 00:08:07,480 Speaker 3: to be iterating across the whole country. Had a buddy 145 00:08:07,480 --> 00:08:10,760 Speaker 3: of mine in Billings, Montana, crowds in the street like 146 00:08:10,800 --> 00:08:12,920 Speaker 3: you couldn't believe he's like he's he goes when I 147 00:08:12,920 --> 00:08:15,240 Speaker 3: tell you, this is half the city, I mean it, 148 00:08:15,240 --> 00:08:15,840 Speaker 3: it's crazy. 149 00:08:16,000 --> 00:08:18,640 Speaker 1: What do you think that means? The numbers I saw 150 00:08:18,800 --> 00:08:24,560 Speaker 1: Elliott Morris, h smart guy, used to run five thirty eight, 151 00:08:24,840 --> 00:08:27,640 Speaker 1: and he had he had sort of calculated the numbers 152 00:08:27,840 --> 00:08:30,160 Speaker 1: as higher than five million. I saw five million in 153 00:08:30,200 --> 00:08:33,760 Speaker 1: the New York Times, but Ellie Morris thinks it's closer 154 00:08:34,120 --> 00:08:35,040 Speaker 1: to more than that. 155 00:08:35,320 --> 00:08:37,559 Speaker 3: Yeah he said. I think he said something like it 156 00:08:37,600 --> 00:08:41,520 Speaker 3: could be up to thirteen million people, yes, which is nuts. 157 00:08:41,880 --> 00:08:45,280 Speaker 1: So up to thirteen million people gets us to a 158 00:08:45,520 --> 00:08:51,560 Speaker 1: level where about we're almost too I think a little 159 00:08:51,559 --> 00:08:55,479 Speaker 1: bit less than one percent of the of America protesting. 160 00:08:55,640 --> 00:08:58,480 Speaker 3: That's what they call the Color Revolution line. When you 161 00:08:58,559 --> 00:09:02,240 Speaker 3: have one or two percent of the population out protesting, 162 00:09:02,880 --> 00:09:07,040 Speaker 3: the deer leaders have lost a lot of power. 163 00:09:07,800 --> 00:09:10,400 Speaker 1: And some are saying, I'm going to use a jesse 164 00:09:10,559 --> 00:09:13,680 Speaker 1: Can in fact check here. Uh. Some are saying that 165 00:09:13,760 --> 00:09:16,680 Speaker 1: this was the biggest protest in American history. 166 00:09:17,080 --> 00:09:21,079 Speaker 3: Listen, I could I could make that argument. I think there. 167 00:09:21,120 --> 00:09:23,920 Speaker 3: I think there was something yesterday in the air across 168 00:09:23,960 --> 00:09:25,679 Speaker 3: the country. I think there was a little bit of 169 00:09:25,720 --> 00:09:27,960 Speaker 3: whistling past the graveyard at first, like people are like, 170 00:09:28,040 --> 00:09:30,559 Speaker 3: oh god, what if it doesn't turn out? What if 171 00:09:30,559 --> 00:09:36,800 Speaker 3: this doesn't work? And and it was. It was bonkers everywhere. 172 00:09:36,679 --> 00:09:41,240 Speaker 1: And I was nuts. So I was in Nantucket because 173 00:09:41,880 --> 00:09:45,000 Speaker 1: I have a book that just came out, which I 174 00:09:45,080 --> 00:09:45,920 Speaker 1: don't know if. 175 00:09:45,840 --> 00:09:48,240 Speaker 3: Do you do people know about it? Is it a 176 00:09:48,240 --> 00:09:49,520 Speaker 3: New York Times bestseller? Yes? 177 00:09:49,559 --> 00:09:52,160 Speaker 1: It is number six on the combined list. I have 178 00:09:52,240 --> 00:09:55,240 Speaker 1: to tell you there are no words for the level 179 00:09:55,240 --> 00:09:58,560 Speaker 1: of thrill. But anyway, I was in it. But you know, 180 00:09:58,679 --> 00:10:00,960 Speaker 1: it's I'm the meme where it's like the world is 181 00:10:00,960 --> 00:10:02,800 Speaker 1: burning down and I'm like, so I have a book, 182 00:10:04,720 --> 00:10:08,720 Speaker 1: but but but I was in Nantucket for this book. 183 00:10:08,720 --> 00:10:12,040 Speaker 1: For Nantucket is known to be well in the Northeast, 184 00:10:12,080 --> 00:10:15,040 Speaker 1: a very Republican island, so much so that the guy 185 00:10:15,160 --> 00:10:19,240 Speaker 1: sitting in front of me was wearing a Trump a 186 00:10:19,800 --> 00:10:23,840 Speaker 1: Trump golf club a shirt that had a sort of 187 00:10:24,280 --> 00:10:28,440 Speaker 1: small insignia that said Trump Jupiter or whatever. But I 188 00:10:28,480 --> 00:10:30,480 Speaker 1: want to talk about this. It was a huge protest 189 00:10:30,559 --> 00:10:34,439 Speaker 1: in Nantucket, which is a Republican island. So it is 190 00:10:34,679 --> 00:10:38,000 Speaker 1: really does feel like these places where you don't expect 191 00:10:38,040 --> 00:10:40,400 Speaker 1: to see protests, we're seeing big right test. 192 00:10:40,520 --> 00:10:43,440 Speaker 3: Right. I think this happened to the surprise of a 193 00:10:43,480 --> 00:10:47,960 Speaker 3: lot of the Maga folks yesterday because the gigantic Maga 194 00:10:48,000 --> 00:10:52,679 Speaker 3: media machine was in full throttle, like there's no there 195 00:10:52,679 --> 00:10:54,640 Speaker 3: are no there, nobody's at the no Kings rallies, there 196 00:10:54,640 --> 00:10:57,800 Speaker 3: are no no Kings rallies whatsoever. No one's out at all, 197 00:10:58,120 --> 00:11:01,160 Speaker 3: but five million people are in Washington for President's Military 198 00:11:01,200 --> 00:11:02,439 Speaker 3: dictatorship Parade. 199 00:11:02,720 --> 00:11:07,840 Speaker 1: Right, so let's talk about the military dictatorship parade, because 200 00:11:08,720 --> 00:11:13,679 Speaker 1: there's a really smart thing. I saw that the individual 201 00:11:13,960 --> 00:11:20,520 Speaker 1: No Kings Rally organizers wrote on their website which said, 202 00:11:21,280 --> 00:11:24,120 Speaker 1: and even Axios, which is known to. 203 00:11:24,160 --> 00:11:30,400 Speaker 3: Not be not exactly like friend of progressive politics, Axios. 204 00:11:29,720 --> 00:11:35,160 Speaker 1: Yes exactly, said that the people they wanted to provide 205 00:11:35,200 --> 00:11:38,640 Speaker 1: a kind of counter programming and not a competition, and 206 00:11:38,679 --> 00:11:43,319 Speaker 1: that's why they didn't go to Washington, DC. Right. They 207 00:11:43,360 --> 00:11:46,080 Speaker 1: stayed away because they didn't because they wanted to sort 208 00:11:46,080 --> 00:11:50,520 Speaker 1: of dominate the news cycle and provide an alternative narrative 209 00:11:50,679 --> 00:11:58,120 Speaker 1: versus a sort of combative program, right, program around trump Ism, 210 00:11:58,160 --> 00:12:01,440 Speaker 1: which I think is really an important thought when you're 211 00:12:01,480 --> 00:12:04,199 Speaker 1: talking about sort of permeating the discourse. 212 00:12:04,880 --> 00:12:09,440 Speaker 3: Look, I think I think that that the grassroots energy 213 00:12:09,520 --> 00:12:15,400 Speaker 3: in this thing was so unique and it's and I will, 214 00:12:15,440 --> 00:12:18,040 Speaker 3: I will, you know, went back to my my experience 215 00:12:18,040 --> 00:12:21,199 Speaker 3: at at one of these yesterday, I actually saw three 216 00:12:21,320 --> 00:12:23,800 Speaker 3: or four of my Republican friends who aren't even like 217 00:12:24,360 --> 00:12:26,439 Speaker 3: people I would have thought like, oh, he's a never trumper. 218 00:12:26,760 --> 00:12:28,480 Speaker 3: I was surprised. I talked to one guy I was like, 219 00:12:28,520 --> 00:12:30,600 Speaker 3: I'm shocked to see you here, he goes, I'm just done. 220 00:12:30,800 --> 00:12:33,679 Speaker 3: And I think that they that they correctly calibrated. That 221 00:12:33,880 --> 00:12:36,160 Speaker 3: did we get a broader uplift from this if it 222 00:12:36,160 --> 00:12:39,760 Speaker 3: didn't feel like it was just like one more sort 223 00:12:39,800 --> 00:12:44,040 Speaker 3: of generic fuck Trump thing, and you opened it up 224 00:12:44,200 --> 00:12:46,920 Speaker 3: and people felt a lot more sans of community about it. 225 00:12:46,960 --> 00:12:49,280 Speaker 3: I just I don't go to a lot of marches 226 00:12:49,320 --> 00:12:54,439 Speaker 3: and shit, but yeah, this was impressive and it was optimistic, 227 00:12:54,480 --> 00:12:56,640 Speaker 3: and there were a lot of American flags flying and 228 00:12:56,679 --> 00:12:59,640 Speaker 3: a lot of people who who who got the memo, 229 00:12:59,640 --> 00:13:02,080 Speaker 3: who stood the assignment as they say. 230 00:13:02,000 --> 00:13:07,520 Speaker 1: I want to talk about UH disinformation because it is 231 00:13:07,640 --> 00:13:11,240 Speaker 1: really important when we talk about these protests to talk 232 00:13:11,280 --> 00:13:14,559 Speaker 1: about Twitter and what happened on Twitter and the political violence. 233 00:13:14,679 --> 00:13:16,640 Speaker 1: The woman and her husband. 234 00:13:17,720 --> 00:13:20,439 Speaker 3: Minnesota former former House majority leader in the. 235 00:13:20,559 --> 00:13:25,400 Speaker 1: Former House majority leader Melissa Horman and her husband murdered 236 00:13:25,440 --> 00:13:31,760 Speaker 1: in their bads. Two other members of the Minnesota State House, 237 00:13:32,960 --> 00:13:36,920 Speaker 1: both Melissa Horman and her husband and John Hoffman and 238 00:13:37,000 --> 00:13:43,560 Speaker 1: his wife Okay murdered in their bads by a conservative Christian, 239 00:13:43,840 --> 00:13:54,120 Speaker 1: anti choice, anti right UH worked in private security, carried weapons, 240 00:13:54,160 --> 00:13:54,640 Speaker 1: et cetera. 241 00:13:56,360 --> 00:14:00,880 Speaker 3: Right the all the all the unsurprised, using descriptors of 242 00:14:00,920 --> 00:14:02,800 Speaker 3: this guy that once you knew them, you were like, 243 00:14:02,920 --> 00:14:03,679 Speaker 3: of course. 244 00:14:03,760 --> 00:14:07,120 Speaker 1: So this happens, he is now on the run. A 245 00:14:07,200 --> 00:14:11,720 Speaker 1: few thoughts here. One, these were the people who were 246 00:14:11,800 --> 00:14:16,760 Speaker 1: being watched by the FBI before cash Betel got in charge. 247 00:14:16,960 --> 00:14:19,880 Speaker 1: Right now, they are no longer You're no longer allowed 248 00:14:19,880 --> 00:14:24,560 Speaker 1: to watch these people because those people, right, because. 249 00:14:24,320 --> 00:14:26,960 Speaker 3: The deep state was watching them in the We can't 250 00:14:26,960 --> 00:14:30,600 Speaker 3: have anybody monitored by the deep state anymore because obviously 251 00:14:31,000 --> 00:14:33,960 Speaker 3: they're just they were the same sort of innocent tourists 252 00:14:34,360 --> 00:14:37,600 Speaker 3: that were just visiting with love on January Seanuary sixth. 253 00:14:37,640 --> 00:14:40,800 Speaker 1: So the day this happened, Twitter became a sea of 254 00:14:40,880 --> 00:14:44,720 Speaker 1: disinformation and the magas works trying to sell a story 255 00:14:44,720 --> 00:14:49,280 Speaker 1: that these people had voted against healthcare for non citizens 256 00:14:49,640 --> 00:14:52,320 Speaker 1: and that was why they got murdered by a Marxist. 257 00:14:52,600 --> 00:14:56,360 Speaker 3: Right, and so you get guys like Mike Cernovic and 258 00:14:56,480 --> 00:14:59,400 Speaker 3: Mike Lee and the rest of the sort of Trump 259 00:14:59,560 --> 00:14:59,920 Speaker 3: is set. 260 00:15:00,640 --> 00:15:05,600 Speaker 1: One is an online influencer who started Pizzagate. 261 00:15:05,440 --> 00:15:09,400 Speaker 3: Right right, Well, they're basically, look, these these are not 262 00:15:09,960 --> 00:15:13,840 Speaker 3: they're not sending their best moly, right, but but what 263 00:15:13,880 --> 00:15:16,440 Speaker 3: we're talking about here, when you get down to it, 264 00:15:16,480 --> 00:15:22,080 Speaker 3: is this alternate ecosystem that cannot confront reality. They cannot 265 00:15:22,120 --> 00:15:25,520 Speaker 3: confront what is actually happening here, which is that the 266 00:15:25,600 --> 00:15:30,720 Speaker 3: right wing maga media ecosystem feeds these people a constant 267 00:15:30,760 --> 00:15:35,640 Speaker 3: diet of lies and bullshit that that that every Democrat 268 00:15:35,800 --> 00:15:40,520 Speaker 3: is a is a cannibal, pedophile, child trafficker, blah blah blah. 269 00:15:40,920 --> 00:15:44,760 Speaker 3: And when they when one of their own commits a 270 00:15:44,760 --> 00:15:49,160 Speaker 3: crime like this, a horrifying crime, they believe they control 271 00:15:49,240 --> 00:15:52,480 Speaker 3: their way out of the problem, right, and and so 272 00:15:52,880 --> 00:15:56,240 Speaker 3: we end up with a situation like yesterday, which a 273 00:15:56,400 --> 00:16:00,520 Speaker 3: US Senator, Mike Lee, who absofrikingly know better. 274 00:16:00,640 --> 00:16:04,080 Speaker 1: Okay, yes, is a United States senator. 275 00:16:04,200 --> 00:16:07,920 Speaker 3: Yes, let's let's emphasize that point again, a United States 276 00:16:07,960 --> 00:16:14,120 Speaker 3: senator is out talking the worst weird ass smack about, 277 00:16:14,640 --> 00:16:18,040 Speaker 3: you know, pretending that this was a political assassination because 278 00:16:18,320 --> 00:16:23,560 Speaker 3: of wokeness. And it's so disgusting at every level. It's 279 00:16:23,600 --> 00:16:29,320 Speaker 3: so weak at every level, because they are they recognize 280 00:16:29,840 --> 00:16:34,000 Speaker 3: that that what they've created as a monster, and that 281 00:16:34,080 --> 00:16:37,800 Speaker 3: monster is now out roaming the world. And it's frankly, 282 00:16:38,160 --> 00:16:42,920 Speaker 3: yesterday murdered two people. The guy in his car had 283 00:16:42,960 --> 00:16:46,720 Speaker 3: a hit list of seventy other elected Democratic. 284 00:16:46,200 --> 00:16:50,080 Speaker 1: Officials, but my friend Tim Walls. 285 00:16:50,000 --> 00:16:54,240 Speaker 3: Yes, and and folks you know, like Ilhan Omar and 286 00:16:54,440 --> 00:16:57,640 Speaker 3: a whole variety of other people that does not exactly 287 00:16:57,680 --> 00:17:02,480 Speaker 3: fit the profile of left wing on a murder spree. 288 00:17:02,840 --> 00:17:06,200 Speaker 3: This was a right wing assassin. He's been motivated by 289 00:17:06,240 --> 00:17:11,399 Speaker 3: people like well, by by institutions like Breitbart and Fox News, 290 00:17:11,680 --> 00:17:14,440 Speaker 3: because they're told over and over again, you're you're being 291 00:17:14,520 --> 00:17:18,840 Speaker 3: pursued by the evil left wingers. They're trying to destroy you. 292 00:17:19,440 --> 00:17:23,280 Speaker 3: They're not human. They deserve everything we can give them 293 00:17:23,359 --> 00:17:27,080 Speaker 3: in terms of political and personal violence. And the whole 294 00:17:27,119 --> 00:17:32,679 Speaker 3: thing is a utterly predictable and repulsive set of behaviors 295 00:17:33,200 --> 00:17:37,199 Speaker 3: that I don't I don't think. I don't think. I 296 00:17:37,240 --> 00:17:40,080 Speaker 3: sometimes think I've lost the capacity to be shocked, but 297 00:17:40,680 --> 00:17:43,320 Speaker 3: I clearly haven't because I'm and this one is shocking 298 00:17:43,359 --> 00:17:43,840 Speaker 3: even to me. 299 00:17:44,119 --> 00:17:46,840 Speaker 1: First of all, Mark Cuban, if you listen to this podcast, 300 00:17:46,960 --> 00:17:50,680 Speaker 1: you should buy Twitter, Okay, because somebody rich should buy 301 00:17:50,680 --> 00:17:54,320 Speaker 1: Twitter and make it normal again, because Elon has made 302 00:17:54,320 --> 00:17:57,840 Speaker 1: it completely unusable and it has a really good purpose 303 00:17:58,280 --> 00:18:02,920 Speaker 1: and it's really a public util and you know, Elon 304 00:18:03,080 --> 00:18:06,560 Speaker 1: is down the rabbit hole now of whatever. It's time 305 00:18:06,760 --> 00:18:07,399 Speaker 1: to buy Twitter. 306 00:18:07,760 --> 00:18:10,240 Speaker 3: Yeah, I mean look and frankly, you could probably get 307 00:18:10,240 --> 00:18:12,160 Speaker 3: Twitter at a pretty reasonable price at this point. 308 00:18:12,640 --> 00:18:16,359 Speaker 1: Yeah, so that is number one, because the site has degraded, 309 00:18:16,560 --> 00:18:19,640 Speaker 1: But it also is what you see, it's it's completely 310 00:18:19,680 --> 00:18:20,920 Speaker 1: without use at this point. 311 00:18:20,960 --> 00:18:23,520 Speaker 3: But it's also But here's the thing, the degree to 312 00:18:23,520 --> 00:18:27,280 Speaker 3: which the right values Twitter because it is this normative 313 00:18:27,320 --> 00:18:30,320 Speaker 3: force for them. It is this powerful thing that keeps 314 00:18:30,359 --> 00:18:34,080 Speaker 3: them in line, that keeps them on message and over 315 00:18:34,119 --> 00:18:37,439 Speaker 3: and over again. I don't I've said this to a 316 00:18:37,480 --> 00:18:43,000 Speaker 3: lot a lot of wealthy people recently. Like the power 317 00:18:43,080 --> 00:18:47,520 Speaker 3: of Fox, Facebook and Twitter to control what the maga 318 00:18:47,560 --> 00:18:53,480 Speaker 3: world thinks and does is beyond comprehension. It is. It 319 00:18:53,600 --> 00:18:58,679 Speaker 3: is super powerful as as a way of shaping what 320 00:18:58,720 --> 00:19:03,000 Speaker 3: they believe, what they see, what they read. And it 321 00:19:03,320 --> 00:19:08,280 Speaker 3: also empowers people who again think they control their way 322 00:19:08,320 --> 00:19:11,640 Speaker 3: out of a mass murder or an attempted mass murder 323 00:19:11,880 --> 00:19:16,320 Speaker 3: by one of Donald Trump's fervent supporters. Yeah, and it, 324 00:19:16,560 --> 00:19:18,159 Speaker 3: you know, it did blow up in their faces a 325 00:19:18,160 --> 00:19:21,040 Speaker 3: bit like oh yes, obviously, he's just like every other 326 00:19:21,119 --> 00:19:23,760 Speaker 3: liberal who's been a registered Republican for twenty two years 327 00:19:23,920 --> 00:19:27,320 Speaker 3: has a private security company and so on and so on. Yeah, 328 00:19:27,800 --> 00:19:31,399 Speaker 3: it's the silliness of this shit is beyond Yeah. 329 00:19:31,560 --> 00:19:35,800 Speaker 1: No, of course, and it's totally ridiculous. But there was 330 00:19:35,960 --> 00:19:38,040 Speaker 1: also I want to talk about. There was a little 331 00:19:38,080 --> 00:19:41,800 Speaker 1: bit of violence that happened yesterday that I want to 332 00:19:41,800 --> 00:19:45,119 Speaker 1: talk about because I think it's really important and it 333 00:19:45,160 --> 00:19:48,439 Speaker 1: didn't get reported because there's no local news, so you 334 00:19:48,480 --> 00:19:50,199 Speaker 1: may be listening to this podcast and you may not 335 00:19:50,320 --> 00:19:53,160 Speaker 1: know about it. So most of the rallies were peaceful, 336 00:19:53,600 --> 00:19:57,680 Speaker 1: but okay, there were in Salt Lake City somebody got 337 00:19:58,080 --> 00:20:04,320 Speaker 1: critically injured into the crowd and in Culpeper, Virginia, somebody 338 00:20:04,440 --> 00:20:08,120 Speaker 1: throw their suv into the crowd. So those are two 339 00:20:08,760 --> 00:20:10,960 Speaker 1: real things that happened. 340 00:20:11,840 --> 00:20:13,320 Speaker 3: Oh you mean political violence. 341 00:20:13,840 --> 00:20:16,040 Speaker 1: Yeah, oh, I mean political. 342 00:20:15,960 --> 00:20:17,720 Speaker 3: I was told that only happens on the left. 343 00:20:18,680 --> 00:20:21,280 Speaker 1: Weird political violence. You know, I don't think it should 344 00:20:21,320 --> 00:20:22,720 Speaker 1: be brushed over, right. 345 00:20:22,720 --> 00:20:25,320 Speaker 3: We should address it more honestly than than the right 346 00:20:25,359 --> 00:20:28,320 Speaker 3: would like. And they really don't want to talk about this. 347 00:20:28,480 --> 00:20:33,679 Speaker 3: They want to pretend that they are the set upon victims, 348 00:20:33,720 --> 00:20:37,119 Speaker 3: they're the they're the the David to the Goliath of 349 00:20:37,200 --> 00:20:41,760 Speaker 3: some sort of violent progressive action, which is has been 350 00:20:41,800 --> 00:20:44,560 Speaker 3: and has always been garbage. And look, I believe me 351 00:20:44,600 --> 00:20:46,679 Speaker 3: if I would if I saw it on the left, 352 00:20:46,920 --> 00:20:51,080 Speaker 3: I'd call it out because it benefits no one. 353 00:20:51,680 --> 00:20:54,879 Speaker 1: Yeah, it's certainly true. I wonder if we could talk 354 00:20:55,560 --> 00:20:59,320 Speaker 1: for a minute about how Trump actually had to watch 355 00:20:59,400 --> 00:21:03,680 Speaker 1: the parade. Oh, it was so beautiful, Like, I wonder 356 00:21:03,760 --> 00:21:04,880 Speaker 1: if he didn't think. 357 00:21:04,720 --> 00:21:09,040 Speaker 3: This through No, he never thinks anything through Molly. He 358 00:21:09,119 --> 00:21:12,399 Speaker 3: has no ability to think outside of his of his 359 00:21:13,119 --> 00:21:16,480 Speaker 3: like tiny animal brain, and he thought this will be 360 00:21:16,560 --> 00:21:19,359 Speaker 3: a great triumph. I will look strong, I will I 361 00:21:19,359 --> 00:21:23,960 Speaker 3: will buy association, absorb the strength of these warriors. And 362 00:21:24,240 --> 00:21:27,280 Speaker 3: he looked like a dip shit half asleep behind the 363 00:21:27,320 --> 00:21:31,479 Speaker 3: glass at a poorly attended and by poorly attended folks, 364 00:21:31,520 --> 00:21:36,159 Speaker 3: I mean poorly attended. Yeah, they were expecting a million 365 00:21:36,160 --> 00:21:39,400 Speaker 3: people and they maybe got a maybe got fifty thousand. 366 00:21:40,000 --> 00:21:44,960 Speaker 3: The mall was empty. Trump's reviewing stand had empty seats 367 00:21:45,040 --> 00:21:48,240 Speaker 3: directly across from it, which, if you're a political advance guy, 368 00:21:49,040 --> 00:21:51,360 Speaker 3: get another job tomorrow because you fucked up. 369 00:21:51,960 --> 00:21:54,920 Speaker 1: But also, can we just talk about, like why did 370 00:21:54,960 --> 00:22:01,359 Speaker 1: this need to be sponsored by Coinbase and Boeing or 371 00:22:01,680 --> 00:22:06,679 Speaker 1: I think coin Base. It was coin Base and Lockheed Martin. 372 00:22:06,880 --> 00:22:08,840 Speaker 3: Yeah, look, it was a bunch of there were a 373 00:22:08,840 --> 00:22:11,280 Speaker 3: bunch of bunch of corporate sponsors in bold. 374 00:22:11,280 --> 00:22:15,280 Speaker 1: But weren't the taxpayers really the sponsors of this? 375 00:22:15,960 --> 00:22:17,359 Speaker 3: That was exactly what I was about to say, Mali. 376 00:22:17,560 --> 00:22:20,440 Speaker 3: But the real the real sponsor was the US taxpayer. 377 00:22:20,880 --> 00:22:24,639 Speaker 3: The real sponsor was was every American who had to 378 00:22:24,640 --> 00:22:28,000 Speaker 3: fork over their tax dollars for this eighty five million dollar, 379 00:22:28,119 --> 00:22:32,960 Speaker 3: eighty nine million dollar horseshit. And and the reality is 380 00:22:33,080 --> 00:22:35,919 Speaker 3: Trump begged for a missile parade in the first administration. 381 00:22:36,000 --> 00:22:39,879 Speaker 1: He was ab he saw one in France, that's right, 382 00:22:40,000 --> 00:22:40,880 Speaker 1: Steel day. 383 00:22:41,119 --> 00:22:44,960 Speaker 3: That he was obsessed with it. And now he finally 384 00:22:44,960 --> 00:22:47,119 Speaker 3: got one. He didn't have an esper or a Millie 385 00:22:47,119 --> 00:22:48,720 Speaker 3: who said, no, sir, you can't do this. 386 00:22:48,960 --> 00:22:50,680 Speaker 1: Yeah. Millie was like, no dice. 387 00:22:50,960 --> 00:22:54,159 Speaker 3: Yeah, Millie was like a no loss, no chief, the 388 00:22:54,200 --> 00:22:59,600 Speaker 3: same how this works. Yeah, but you know, he he 389 00:23:00,840 --> 00:23:05,800 Speaker 3: desperately wanted this again. Donald Trump, the draft dodging, chicken 390 00:23:05,840 --> 00:23:09,560 Speaker 3: shit coward who demeaned diminished John McCain, who called our 391 00:23:09,600 --> 00:23:13,280 Speaker 3: troop suckers, and losers, who has over and over again 392 00:23:13,800 --> 00:23:17,480 Speaker 3: essentially except pressed his contempt for the service of others, 393 00:23:18,000 --> 00:23:22,320 Speaker 3: wanted to absorb the heroism of American military men and women. 394 00:23:22,560 --> 00:23:27,080 Speaker 3: I mean, I found the whole thing so crass and 395 00:23:27,160 --> 00:23:31,400 Speaker 3: stupid and badly run because you know, you have these 396 00:23:31,400 --> 00:23:34,440 Speaker 3: guys marching by it. It's like brought to you by Coinbase, 397 00:23:34,960 --> 00:23:39,560 Speaker 3: sponsored by UFC, and it's just like, oh, come on, dude. 398 00:23:40,119 --> 00:23:48,720 Speaker 1: Yeah, it was incredible stuff. Incredible stuff. Rick Wilson, John joining. 399 00:23:48,400 --> 00:23:49,960 Speaker 3: Me a pleasure as always. 400 00:23:50,240 --> 00:23:51,040 Speaker 1: Will you be back? 401 00:23:51,520 --> 00:23:53,280 Speaker 3: I will always be back for you. You know that. 402 00:23:55,960 --> 00:23:59,199 Speaker 1: James Kimmel is the author of the Science of Revenge, 403 00:24:00,119 --> 00:24:04,119 Speaker 1: Standing the world's deadliest addiction, and How to overcome it. 404 00:24:04,680 --> 00:24:08,480 Speaker 1: Welcome to Fast Politics, James. 405 00:24:08,520 --> 00:24:11,160 Speaker 4: Thank you, mollly happy to be here and really appreciate it. 406 00:24:11,280 --> 00:24:13,320 Speaker 1: So talk to me about this book. 407 00:24:13,680 --> 00:24:22,240 Speaker 4: So recent neuroscience revelations have given us some exciting new discoveries, 408 00:24:22,359 --> 00:24:26,080 Speaker 4: most importantly that your brain on revenge looks like your 409 00:24:26,119 --> 00:24:30,480 Speaker 4: brain on drugs, which is a big discovery in the 410 00:24:30,520 --> 00:24:35,520 Speaker 4: sense it is it is it is your brain on revenge. 411 00:24:35,520 --> 00:24:36,919 Speaker 4: It looks like your brain on drugs. And that's a 412 00:24:36,920 --> 00:24:40,960 Speaker 4: big discovery because it gives us the first notion of 413 00:24:41,000 --> 00:24:44,840 Speaker 4: a biological cause of violence and how to prevent and 414 00:24:44,880 --> 00:24:45,320 Speaker 4: treat it. 415 00:24:45,480 --> 00:24:49,479 Speaker 1: So, you know, I'm sober twenty seven years, but who's counting. 416 00:24:50,320 --> 00:24:54,840 Speaker 1: Will this show us how to treat alcoholism, drug addiction, 417 00:24:55,440 --> 00:24:56,480 Speaker 1: or revenge? 418 00:24:56,960 --> 00:25:02,120 Speaker 4: No, it'll show us that by using alcohol and other 419 00:25:02,320 --> 00:25:07,800 Speaker 4: substance use, addiction, prevention and treatment strategies, we can prevent 420 00:25:08,080 --> 00:25:12,040 Speaker 4: and treat violence, which is a big revelation. It's kind 421 00:25:12,040 --> 00:25:16,399 Speaker 4: of the reverse order where we're bringing those techniques into 422 00:25:16,520 --> 00:25:20,400 Speaker 4: something that has eluded human prevention and treatment for thousands 423 00:25:20,400 --> 00:25:20,840 Speaker 4: of years. 424 00:25:21,080 --> 00:25:24,680 Speaker 1: I need you to explain this more to me. Neuroscience 425 00:25:24,720 --> 00:25:30,000 Speaker 1: finds that revenge and addiction look the same. So what 426 00:25:30,040 --> 00:25:34,520 Speaker 1: you mean by revenge more is the sort of anger impulse, right, So, 427 00:25:34,800 --> 00:25:35,480 Speaker 1: revenge is. 428 00:25:35,440 --> 00:25:40,760 Speaker 4: The desire to punish people who either violate social norms 429 00:25:40,880 --> 00:25:44,159 Speaker 4: or wrong you in some way, whether it's real or imagined. 430 00:25:44,200 --> 00:25:47,440 Speaker 4: So you know, it starts with the grievance, and a 431 00:25:47,560 --> 00:25:52,200 Speaker 4: grievance is a real or imagined perception of having been mistreated, 432 00:25:52,560 --> 00:25:57,360 Speaker 4: treated unjustly, humiliated, shame betrayed, victimized in any way. That's 433 00:25:57,400 --> 00:25:59,919 Speaker 4: the beginning point of this process. 434 00:26:00,240 --> 00:26:04,520 Speaker 1: Okay, So if revenge is like addiction and it is 435 00:26:04,560 --> 00:26:08,560 Speaker 1: a similar kind of situation that can prevent violence, but 436 00:26:08,600 --> 00:26:11,960 Speaker 1: it also perhaps might give us a little insight into 437 00:26:11,960 --> 00:26:15,000 Speaker 1: what's happening in Trump's second administration. 438 00:26:14,800 --> 00:26:18,359 Speaker 4: It does, and what's happening across the country in response. 439 00:26:18,440 --> 00:26:21,640 Speaker 4: Because this is a it's a human problem, so it transcends, 440 00:26:22,080 --> 00:26:24,760 Speaker 4: you know, political boundaries. Let's just go into this for 441 00:26:24,800 --> 00:26:27,679 Speaker 4: a second. So a grievance, we've all experienced those. That 442 00:26:27,720 --> 00:26:29,960 Speaker 4: can be somebody you know who cuts you off while 443 00:26:30,000 --> 00:26:33,480 Speaker 4: you're driving, or an unkind word from you know, your 444 00:26:33,520 --> 00:26:37,520 Speaker 4: partner or spouse or a parent, or something you know 445 00:26:37,800 --> 00:26:41,280 Speaker 4: from some exchange with a coworker or your boss, or 446 00:26:41,320 --> 00:26:45,720 Speaker 4: something even more broadly like a mean tweet or something 447 00:26:45,760 --> 00:26:50,080 Speaker 4: that comes out of the Trump administration or a democratic administration. 448 00:26:50,160 --> 00:26:54,040 Speaker 4: It wouldn't matter. But those grievances are registered in your brain. 449 00:26:54,080 --> 00:26:56,679 Speaker 4: And we can see this now in brain scans. That 450 00:26:56,840 --> 00:27:00,600 Speaker 4: activates your brain's pay network area, which is known as 451 00:27:00,640 --> 00:27:04,479 Speaker 4: the anterior insulo. And your brain hates pain, so it 452 00:27:04,520 --> 00:27:07,160 Speaker 4: wants to do something to stop that pain or cover 453 00:27:07,280 --> 00:27:10,560 Speaker 4: it up. And the strategy that we've evolved to do 454 00:27:10,880 --> 00:27:14,440 Speaker 4: is we get pleasure from trying to hurt the person 455 00:27:14,600 --> 00:27:18,800 Speaker 4: who rolled us or their proxy, and that is very pleasurable, 456 00:27:18,800 --> 00:27:22,359 Speaker 4: and it activates the pleasure and reward circuitry of the brain, 457 00:27:22,880 --> 00:27:26,000 Speaker 4: which is the nucleus occumbents, and the dorsal strata. All 458 00:27:26,040 --> 00:27:29,080 Speaker 4: of this is also happening for every other form of addiction, 459 00:27:29,760 --> 00:27:33,720 Speaker 4: and we want to gratify that craving, the craving for 460 00:27:33,880 --> 00:27:38,520 Speaker 4: revenge which is stimulated by a dopamine rush to motivate 461 00:27:38,640 --> 00:27:42,240 Speaker 4: us toward harming the person who rolled us, because we 462 00:27:42,359 --> 00:27:44,880 Speaker 4: get a little high from it. I mean, revenge acts 463 00:27:44,880 --> 00:27:47,280 Speaker 4: inside your brain like a drug, doest. 464 00:27:47,480 --> 00:27:49,840 Speaker 1: One of the things that I've been interested in as 465 00:27:49,840 --> 00:27:52,359 Speaker 1: a sober person who comes from a family is they 466 00:27:52,440 --> 00:27:55,479 Speaker 1: tell my children all the time riddled with alcoholism. As 467 00:27:55,520 --> 00:27:58,520 Speaker 1: I tell my three teenage children, I got sobern as nineteen. 468 00:27:58,600 --> 00:28:01,080 Speaker 1: So whenever I see that, I say, you know, you 469 00:28:01,200 --> 00:28:03,720 Speaker 1: come from a family. I swear to that I am 470 00:28:03,920 --> 00:28:08,000 Speaker 1: become my grandfather. You come from a family riddled with alcoholism. 471 00:28:08,040 --> 00:28:10,160 Speaker 1: My grandfather wouldn't say things like that, but he would 472 00:28:10,200 --> 00:28:14,320 Speaker 1: say other things about you know whatever. So I wonder 473 00:28:14,520 --> 00:28:19,639 Speaker 1: if one of the really interesting things about Trump's motivations 474 00:28:19,680 --> 00:28:22,680 Speaker 1: which I think are worth looking at because he's now 475 00:28:22,760 --> 00:28:26,679 Speaker 1: running the entire federal government, is that he had this 476 00:28:26,800 --> 00:28:31,760 Speaker 1: brother who died of alcoholism, Mary's father, and he has 477 00:28:31,800 --> 00:28:34,760 Speaker 1: committed to never drink or take drugs, right like I 478 00:28:34,760 --> 00:28:36,919 Speaker 1: don't know about drugs, but has committed has made a 479 00:28:37,240 --> 00:28:39,560 Speaker 1: you know, very clear about the fact that he never 480 00:28:39,680 --> 00:28:42,680 Speaker 1: drinks and will never drink. Joe Biden children who struggled 481 00:28:42,720 --> 00:28:46,600 Speaker 1: with alcoholism also never drinks ever take drucks, similar like 482 00:28:46,760 --> 00:28:50,440 Speaker 1: non drinkers, both of them from families filled with alcoholism. 483 00:28:50,600 --> 00:28:53,160 Speaker 1: So talk to me about kind of if there's a 484 00:28:53,200 --> 00:28:58,480 Speaker 1: connection here between being sober or being alcoholic and having 485 00:28:58,560 --> 00:28:59,800 Speaker 1: trouble managing your emotion. 486 00:29:00,760 --> 00:29:04,640 Speaker 4: It's possible, And I don't want it to be focused 487 00:29:04,640 --> 00:29:07,959 Speaker 4: on emotions, because this is much more than just what 488 00:29:08,000 --> 00:29:11,680 Speaker 4: we think of as emotions like I feel happy or sad. 489 00:29:11,760 --> 00:29:16,120 Speaker 4: This is a brain biological process that drives us toward 490 00:29:16,440 --> 00:29:19,959 Speaker 4: revenge seeking for pleasure. We seek revenge to make ourselves 491 00:29:20,080 --> 00:29:23,520 Speaker 4: feel better after we've been hurt. There is a theory 492 00:29:23,600 --> 00:29:27,760 Speaker 4: that the vulnerable brain that suggests that people who are 493 00:29:27,840 --> 00:29:32,000 Speaker 4: vulnerable to other forms of addiction are more vulnerable to 494 00:29:32,800 --> 00:29:36,800 Speaker 4: addictions in general. So if you're vulnerable to a substance 495 00:29:36,920 --> 00:29:40,840 Speaker 4: use disorder, you may we don't have evidence for this yet, 496 00:29:40,840 --> 00:29:44,520 Speaker 4: but you may also be more vulnerable to a gambling addiction. 497 00:29:44,800 --> 00:29:47,800 Speaker 4: You may also be more vulnerable to a revenge addiction, 498 00:29:47,960 --> 00:29:50,440 Speaker 4: which is what we're talking about. So it's possible, but 499 00:29:50,760 --> 00:29:54,320 Speaker 4: it's important to know that all humans, we all feel 500 00:29:54,320 --> 00:29:57,280 Speaker 4: good when we take an opioid, but we also all 501 00:29:57,320 --> 00:30:02,680 Speaker 4: feel good by fantasizing about or enacting our fantasies about 502 00:30:02,760 --> 00:30:05,400 Speaker 4: revenge seeking, in other words, hurting the people who wrong 503 00:30:05,560 --> 00:30:07,800 Speaker 4: us or their proxy, so that we don't even have 504 00:30:07,840 --> 00:30:10,560 Speaker 4: to hurt the direct person who's wronged to us to 505 00:30:10,600 --> 00:30:13,760 Speaker 4: get this gratification. And the good example of that is, 506 00:30:13,800 --> 00:30:16,360 Speaker 4: like you know, you're at work, your boss says something 507 00:30:16,360 --> 00:30:18,640 Speaker 4: that you don't like and hurts your feelings or worse, 508 00:30:18,680 --> 00:30:21,400 Speaker 4: and you can't retaliate against your boss because you might 509 00:30:21,400 --> 00:30:23,240 Speaker 4: lose your job, so you go home and pick a fight, 510 00:30:23,440 --> 00:30:26,280 Speaker 4: maybe with your spouse or significant other or a child, 511 00:30:26,400 --> 00:30:28,760 Speaker 4: or you kick the dog. Those are what we would 512 00:30:28,760 --> 00:30:31,880 Speaker 4: call revenge by proxy, or some psychologists would call that 513 00:30:31,920 --> 00:30:35,840 Speaker 4: displaced revenge seeking. But it makes you feel better in 514 00:30:35,920 --> 00:30:38,560 Speaker 4: that moment. But like all drugs, it's a temporary high, 515 00:30:38,680 --> 00:30:43,720 Speaker 4: doesn't last very long, usually leaves you hurting and wanting more. 516 00:30:44,080 --> 00:30:48,680 Speaker 4: Donald Trump seems to have had a lifetime of perhaps 517 00:30:48,720 --> 00:30:53,720 Speaker 4: sobriety from alcoholism, but has professed in many interviews to 518 00:30:53,800 --> 00:30:58,360 Speaker 4: being a huge fan of retaliation and revenge seeking, right, 519 00:30:58,440 --> 00:31:02,160 Speaker 4: And so you could make a case. I've never examined him, 520 00:31:02,200 --> 00:31:04,840 Speaker 4: and I'm not a psychiatrist, so I couldn't diagnose it, 521 00:31:04,920 --> 00:31:07,480 Speaker 4: but you could make a pretty strong case that he 522 00:31:08,080 --> 00:31:11,840 Speaker 4: and others in his administration look like they're struggling with 523 00:31:11,960 --> 00:31:14,800 Speaker 4: revenge addiction in a pretty mighty way and not able 524 00:31:14,880 --> 00:31:17,880 Speaker 4: to control it. And that's always going to be harmful 525 00:31:17,920 --> 00:31:20,360 Speaker 4: to anybody that's caught up in that and the people 526 00:31:20,400 --> 00:31:20,960 Speaker 4: around them. 527 00:31:21,160 --> 00:31:24,480 Speaker 1: Yeah, it's interesting. I mean, I just wonder if you 528 00:31:24,520 --> 00:31:27,280 Speaker 1: could talk to us about what this larger idea of 529 00:31:27,320 --> 00:31:30,360 Speaker 1: a culture that is so set on revenge. 530 00:31:30,480 --> 00:31:30,640 Speaker 3: Right. 531 00:31:30,680 --> 00:31:34,640 Speaker 1: We're seeing a lot of like the cultural questions of revenge. 532 00:31:35,160 --> 00:31:37,960 Speaker 4: Yeah, I refer to it as a revenge addicted nation. 533 00:31:38,240 --> 00:31:41,320 Speaker 4: Right now. America seems like a revenge addicted nation in 534 00:31:41,360 --> 00:31:45,360 Speaker 4: many ways, and part of that is the advent for 535 00:31:45,400 --> 00:31:47,719 Speaker 4: which humans have not been prepared for. 536 00:31:47,760 --> 00:31:48,120 Speaker 3: At all. 537 00:31:48,160 --> 00:31:52,000 Speaker 4: And that's the advent of social networking platforms, and they're 538 00:31:52,200 --> 00:31:58,440 Speaker 4: a unique ability to spread a grievance, right of feeling 539 00:31:58,440 --> 00:32:03,400 Speaker 4: of victimization twis of other people at light speed, almost simultaneously. 540 00:32:03,480 --> 00:32:07,240 Speaker 4: So we are getting perhaps millions of people with real 541 00:32:07,320 --> 00:32:11,200 Speaker 4: or imagined grievances about the same thing at the same time. 542 00:32:11,320 --> 00:32:14,400 Speaker 4: And these platforms also give all of those people the 543 00:32:14,440 --> 00:32:17,840 Speaker 4: ability not only to spread that grievance further, but to 544 00:32:18,480 --> 00:32:22,760 Speaker 4: either retaliate instantly, right, So we're also the platform gives 545 00:32:22,760 --> 00:32:24,600 Speaker 4: you the grievance, and then it gives you the way 546 00:32:24,640 --> 00:32:29,440 Speaker 4: to gratify the desire for revenge by firing back, you know, aggressive, mean, 547 00:32:29,640 --> 00:32:34,640 Speaker 4: nasty tweets and other messaging, and also to plan and 548 00:32:34,760 --> 00:32:39,560 Speaker 4: inspire and encourage other people to join in, you know, 549 00:32:39,720 --> 00:32:43,720 Speaker 4: real world outside of the virtue their iOS right acts 550 00:32:43,720 --> 00:32:47,520 Speaker 4: of retaliation, such as the you know, the January sixth insurrection, 551 00:32:47,800 --> 00:32:52,720 Speaker 4: in which an imagined grievance about the election caused a 552 00:32:52,880 --> 00:32:56,160 Speaker 4: group of people that using social networking to come together 553 00:32:56,600 --> 00:32:59,160 Speaker 4: and then have a real world riot at the Capital 554 00:33:00,120 --> 00:33:01,080 Speaker 4: revenge riot, you. 555 00:33:01,040 --> 00:33:05,560 Speaker 1: Know, yeah, revenge. Rt I interviewed a guy called to 556 00:33:05,600 --> 00:33:09,200 Speaker 1: Read Hoffman on Morning Joe. A couple months ago, he 557 00:33:09,320 --> 00:33:11,520 Speaker 1: was talking about how good the Internet is an AI 558 00:33:11,720 --> 00:33:14,400 Speaker 1: and I was proposing all of it. I have this 559 00:33:14,480 --> 00:33:18,440 Speaker 1: theory that while the Internet created a lot of disruptions, 560 00:33:18,520 --> 00:33:22,160 Speaker 1: so did the printing press, right and he said something 561 00:33:22,200 --> 00:33:24,680 Speaker 1: that was actually really smart that has really stuck with me, 562 00:33:24,840 --> 00:33:27,320 Speaker 1: which is he said, the printing press it turned out 563 00:33:27,320 --> 00:33:29,320 Speaker 1: to be really great, but it was like about one 564 00:33:29,360 --> 00:33:33,520 Speaker 1: hundred years of just complete disaster between those two things. 565 00:33:33,760 --> 00:33:36,920 Speaker 1: I mean, is that what we're in right now? Are 566 00:33:36,960 --> 00:33:38,920 Speaker 1: we in this sort of I want to say, like 567 00:33:39,000 --> 00:33:43,120 Speaker 1: postmodernization of the culture dysfunction? Is that where we are 568 00:33:43,160 --> 00:33:43,800 Speaker 1: at this moment? 569 00:33:44,000 --> 00:33:46,720 Speaker 4: I think that's possible, and it's a pretty good analogy. There. 570 00:33:46,960 --> 00:33:50,840 Speaker 4: There was a lot of warfare and a lot of 571 00:33:50,920 --> 00:33:54,920 Speaker 4: revenge seeking right back in those days after let's say, 572 00:33:54,960 --> 00:33:59,000 Speaker 4: the Reformation in Martin Luther was spread by that new 573 00:33:59,040 --> 00:34:02,920 Speaker 4: technology renting press. And we're seeing something similar to that, 574 00:34:03,040 --> 00:34:07,120 Speaker 4: but across much bigger population and much more quickly than 575 00:34:07,160 --> 00:34:10,959 Speaker 4: we did then. But people at that time didn't understand 576 00:34:11,200 --> 00:34:14,360 Speaker 4: and wouldn't have that the printing press was able to 577 00:34:14,719 --> 00:34:18,920 Speaker 4: spread grievance and retaliation and the ability to retaliate so well, 578 00:34:19,120 --> 00:34:22,719 Speaker 4: and it didn't do one thing that modern technology does, 579 00:34:22,760 --> 00:34:26,359 Speaker 4: which is it's based on algorithms that actually further that. 580 00:34:26,600 --> 00:34:30,840 Speaker 4: So the algorithms want to us to engage more often, 581 00:34:31,080 --> 00:34:35,200 Speaker 4: and since revenge is such an addictive process, it's like 582 00:34:35,400 --> 00:34:38,719 Speaker 4: the you know, the social networking platforms are feeding us 583 00:34:39,040 --> 00:34:42,920 Speaker 4: the drug, right, They're the system that enable us to 584 00:34:43,160 --> 00:34:47,120 Speaker 4: get these painful experiences of grievance and then these amazingly 585 00:34:47,560 --> 00:34:51,880 Speaker 4: pleasurable experiences of retaliation twenty four to seven, you know, 586 00:34:52,000 --> 00:34:53,640 Speaker 4: seven days a week exactly. 587 00:34:54,040 --> 00:34:58,759 Speaker 1: So online is obviously making a problem worse. But is 588 00:34:58,840 --> 00:35:03,560 Speaker 1: the problem existing just because of the internet, or is 589 00:35:03,600 --> 00:35:06,200 Speaker 1: this a problem that's always happened, And is it getting 590 00:35:06,520 --> 00:35:09,520 Speaker 1: less bad because it's not happening in real life even 591 00:35:09,520 --> 00:35:11,280 Speaker 1: though it is sort of happening in real life. 592 00:35:11,480 --> 00:35:14,560 Speaker 4: Yeah, I think it's more about it's a problem that's 593 00:35:14,600 --> 00:35:19,279 Speaker 4: always existed. So evolutionary psychologists theorize the leading theory is 594 00:35:19,280 --> 00:35:25,359 Speaker 4: is that we developed this pleasurable experience in retaliating maybe 595 00:35:25,560 --> 00:35:29,279 Speaker 4: eleven thousand years ago or or longer, as humans came 596 00:35:29,480 --> 00:35:32,480 Speaker 4: to live in societies and needed ways to cooperate and 597 00:35:32,600 --> 00:35:36,239 Speaker 4: cause people to obey social norms and you know, not 598 00:35:36,480 --> 00:35:39,680 Speaker 4: steal things from you, your cave, or from your neighbor. 599 00:35:39,920 --> 00:35:42,960 Speaker 4: So the desire for revenge is natural, and it was 600 00:35:42,960 --> 00:35:48,600 Speaker 4: an adaptive strategy back then. Where it becomes pathological and dangerous, 601 00:35:48,960 --> 00:35:52,799 Speaker 4: in particular, is now in modern society, where instead of 602 00:35:52,960 --> 00:35:58,400 Speaker 4: retaliating for survival purposes or to pass on our genetic 603 00:35:58,640 --> 00:36:03,200 Speaker 4: imprint to the next generation, we retaliate for just because 604 00:36:03,200 --> 00:36:07,399 Speaker 4: our egos have been offended or her or our politics 605 00:36:07,680 --> 00:36:11,200 Speaker 4: or our you know, we have revenge born. We have 606 00:36:11,239 --> 00:36:17,640 Speaker 4: all these types of experiences of grievance, insult, and victimization 607 00:36:18,160 --> 00:36:21,400 Speaker 4: that are not that our retaliation for those are not 608 00:36:21,960 --> 00:36:24,959 Speaker 4: driven by a need to survive. It's not a flight 609 00:36:25,040 --> 00:36:27,600 Speaker 4: or flight kind of situation. And it's always for a 610 00:36:27,680 --> 00:36:31,160 Speaker 4: wrong of the past, so you're not presented. Revenge is 611 00:36:31,160 --> 00:36:33,640 Speaker 4: always past looking. It's you know, it's always going to 612 00:36:33,680 --> 00:36:38,960 Speaker 4: be punishing somebody for something they did, you know, minutes, hours, days, weeks, months, 613 00:36:39,040 --> 00:36:42,279 Speaker 4: years and years ago. That's where that goes. So I 614 00:36:42,320 --> 00:36:47,600 Speaker 4: think today the systems are making it much worse because 615 00:36:47,680 --> 00:36:51,960 Speaker 4: it's able to spread grievance like a virus. It's blowing 616 00:36:52,040 --> 00:36:55,040 Speaker 4: grievances into our faces right out of our cell phones 617 00:36:55,040 --> 00:36:58,759 Speaker 4: and computers all day long, and we've never had to 618 00:36:58,800 --> 00:37:03,120 Speaker 4: face that kind of onslaught before from something that we 619 00:37:03,239 --> 00:37:06,200 Speaker 4: spend platforms like these that we spend so much of 620 00:37:06,239 --> 00:37:10,560 Speaker 4: our time on. And the last part of the addiction 621 00:37:11,120 --> 00:37:18,160 Speaker 4: puzzle is the prefrontal cortex, that executive function, self control 622 00:37:18,480 --> 00:37:21,520 Speaker 4: area of our brain. And when that is hijacked or 623 00:37:21,560 --> 00:37:27,080 Speaker 4: inhibited so that we're actually carrying out revenge seeking despite 624 00:37:27,120 --> 00:37:31,319 Speaker 4: the negative consequences, that's when it moves pathological, because it 625 00:37:31,360 --> 00:37:34,279 Speaker 4: moves out of an adaptive strategy into one that is 626 00:37:34,320 --> 00:37:37,560 Speaker 4: harming ourselves and harming others. And you can't become the 627 00:37:37,680 --> 00:37:41,160 Speaker 4: instrument of someone else's pain without feeling that pain yourself. 628 00:37:41,440 --> 00:37:44,240 Speaker 4: And you also are putting yourself in harm's way because 629 00:37:44,280 --> 00:37:47,960 Speaker 4: your act of just revenge seeking. Justice seeking in the 630 00:37:47,960 --> 00:37:55,200 Speaker 4: form of revenge becomes the targets unjust victimization and spurs 631 00:37:55,239 --> 00:37:58,880 Speaker 4: them to experience a new desire for revenge back against you. 632 00:38:00,640 --> 00:38:02,000 Speaker 4: And we see that in politics. 633 00:38:02,200 --> 00:38:04,880 Speaker 1: So it makes everything worse, that's right, And this is 634 00:38:04,880 --> 00:38:07,040 Speaker 1: the hyper polarization. 635 00:38:06,520 --> 00:38:11,120 Speaker 4: Thing, right, right, But this is the hyperness of it, yes, correct. 636 00:38:10,760 --> 00:38:14,520 Speaker 1: How do you get out of this? Give everyone prozac? Right? 637 00:38:14,760 --> 00:38:17,480 Speaker 1: The huge doses of prozac. 638 00:38:17,239 --> 00:38:20,920 Speaker 4: And that probably the prozac probably wouldn't help because that's 639 00:38:20,960 --> 00:38:23,319 Speaker 4: going to take down anxiety, which is a great thing, 640 00:38:23,560 --> 00:38:28,000 Speaker 4: but isn't really this problem so our problem with revenge seeking. 641 00:38:28,120 --> 00:38:30,640 Speaker 4: Prozac hasn't been found, for instance, to be the cure 642 00:38:30,719 --> 00:38:34,160 Speaker 4: for addictions. It's not really prescribed for addictions. So that's 643 00:38:34,239 --> 00:38:36,920 Speaker 4: really not the right one what we need to think about. 644 00:38:36,960 --> 00:38:38,120 Speaker 4: So we have two options. 645 00:38:38,160 --> 00:38:41,080 Speaker 1: Wait, hot, take here for one second, not to hijack 646 00:38:41,120 --> 00:38:43,640 Speaker 1: this interview with my own mental health problems, but what 647 00:38:43,840 --> 00:38:46,880 Speaker 1: I've noticed from myself and my own mental health problems 648 00:38:46,960 --> 00:38:50,040 Speaker 1: is that prozac does not work on me as someone 649 00:38:50,080 --> 00:38:53,320 Speaker 1: who's sober a long time, but effects or for whatever reason, 650 00:38:53,360 --> 00:38:55,839 Speaker 1: effects or is just the greatest drug ever. 651 00:38:56,520 --> 00:38:58,719 Speaker 4: That is interesting, And I can't comment because you know, 652 00:38:59,120 --> 00:39:01,960 Speaker 4: I'm not that kind of docs, so I don't know. 653 00:39:02,080 --> 00:39:05,960 Speaker 4: Are you my doctor, and nor are your doctor? That's correct, 654 00:39:06,000 --> 00:39:09,640 Speaker 4: for sure, that's right. What is probably more likely to work, 655 00:39:09,840 --> 00:39:14,040 Speaker 4: right are going to be the addiction prevention and treatment 656 00:39:14,120 --> 00:39:19,040 Speaker 4: strategies that are already in our toolkit for other addictive disorders. 657 00:39:19,200 --> 00:39:22,759 Speaker 4: So that can mean to start with, that can be 658 00:39:23,120 --> 00:39:28,360 Speaker 4: cognitive behavioral therapy, counseling, motivational interviewing, self help strategies, and 659 00:39:28,400 --> 00:39:31,160 Speaker 4: things like that. We may also find and it hasn't 660 00:39:31,200 --> 00:39:33,680 Speaker 4: been studied yet, but I'm hoping that this will start soon. 661 00:39:33,880 --> 00:39:38,960 Speaker 4: Things like meloxone and maybe even GLP one, drugs like 662 00:39:39,080 --> 00:39:42,120 Speaker 4: ozema and we go v that are have been shown 663 00:39:42,200 --> 00:39:46,000 Speaker 4: to help people control craving, because that seems to be 664 00:39:46,400 --> 00:39:49,400 Speaker 4: where this is all centered in the brain. It's that 665 00:39:49,760 --> 00:39:54,160 Speaker 4: addiction craving desire that motivates us to go out and 666 00:39:54,200 --> 00:39:56,440 Speaker 4: harm the people who we think are all on us 667 00:39:56,520 --> 00:40:00,439 Speaker 4: or their proxies, including not only if somebody cuts you off, 668 00:40:00,560 --> 00:40:03,800 Speaker 4: raising ahead to either flip the finger or cut them off, 669 00:40:03,960 --> 00:40:07,920 Speaker 4: or even worse, pulling a gun up through mass shootings, 670 00:40:08,200 --> 00:40:14,840 Speaker 4: intimate partner violence, school bullying, gang violence and street violence, extremism, terrorism, 671 00:40:14,920 --> 00:40:18,880 Speaker 4: and even war. All of those are born out of 672 00:40:19,400 --> 00:40:25,320 Speaker 4: this grievance desire for revenge brain biological process that we're 673 00:40:25,400 --> 00:40:27,920 Speaker 4: just now understanding. But if we see it as an 674 00:40:27,920 --> 00:40:31,759 Speaker 4: addictive process, we can use these addiction prevention to treatment strategies, 675 00:40:31,880 --> 00:40:35,239 Speaker 4: starting with things like as well public health campaigns to 676 00:40:35,280 --> 00:40:37,920 Speaker 4: warn people about the dangers of what happens when you 677 00:40:37,960 --> 00:40:40,319 Speaker 4: have a grievance and this desire for revenge, and that 678 00:40:40,440 --> 00:40:42,799 Speaker 4: although it's going to happen, there are things you can 679 00:40:42,840 --> 00:40:46,160 Speaker 4: do about it. The other that's just one side of it. 680 00:40:46,440 --> 00:40:48,960 Speaker 4: The best thing you can do, and there's a whole 681 00:40:49,160 --> 00:40:52,200 Speaker 4: body of brand new neuroscience on this. That's even more 682 00:40:52,200 --> 00:40:54,800 Speaker 4: exciting to me than the revenge side is what happens 683 00:40:54,800 --> 00:40:58,800 Speaker 4: in your brain when you simply imagine forgiving a grievance 684 00:40:59,080 --> 00:41:01,880 Speaker 4: or somebody that's done something wrong to you, even without 685 00:41:02,080 --> 00:41:04,799 Speaker 4: communicating with them. It's not a gift to them, it's 686 00:41:04,840 --> 00:41:07,600 Speaker 4: a gift of healing for yourself. And what happens when 687 00:41:07,680 --> 00:41:10,400 Speaker 4: you forgive is it reverses. It turns out all of 688 00:41:10,440 --> 00:41:13,560 Speaker 4: these things that I just described inside your brain for 689 00:41:13,600 --> 00:41:18,480 Speaker 4: revenge seeking. It shuts down the pain network inside your brain, 690 00:41:18,640 --> 00:41:22,359 Speaker 4: It shuts down the craving circuitry, and it restores your 691 00:41:22,400 --> 00:41:23,799 Speaker 4: self control circuitry. 692 00:41:23,960 --> 00:41:28,120 Speaker 1: So basically everything we do in AA is right. 693 00:41:28,520 --> 00:41:32,080 Speaker 4: That whole forgiveness piece and the the you know this, 694 00:41:32,400 --> 00:41:35,640 Speaker 4: you know kind of owning that. And although AA is 695 00:41:35,680 --> 00:41:39,640 Speaker 4: really strong about going out right and making that apology 696 00:41:39,800 --> 00:41:42,080 Speaker 4: to the person you're wrong, and that's nice and it's 697 00:41:42,160 --> 00:41:45,839 Speaker 4: very powerful, But what we're finding is is that forgiving 698 00:41:46,200 --> 00:41:48,640 Speaker 4: of yourself is critical. 699 00:41:48,440 --> 00:41:51,920 Speaker 1: Which is what you do when you do that? 700 00:41:52,200 --> 00:41:55,920 Speaker 4: Yes, right, and if you're forgiving yourself and anybody that 701 00:41:56,160 --> 00:42:00,000 Speaker 4: is wronging you just internally and your listeners can experience 702 00:42:00,160 --> 00:42:01,600 Speaker 4: this like right away. I mean, if it's safe to 703 00:42:01,640 --> 00:42:04,279 Speaker 4: close your eyes right now, think about a grievance that 704 00:42:04,320 --> 00:42:07,239 Speaker 4: you have against someone, and you know you have them, 705 00:42:07,280 --> 00:42:09,640 Speaker 4: because we all do. We have maybe hundreds of them 706 00:42:09,719 --> 00:42:12,680 Speaker 4: every day. But think about that and then think about 707 00:42:12,760 --> 00:42:15,680 Speaker 4: just imagine what it would feel like. Just imagine what 708 00:42:15,719 --> 00:42:17,040 Speaker 4: it would feel like if you decide, you know what, 709 00:42:17,080 --> 00:42:19,600 Speaker 4: I'm going to forgive this. Usually when people do that, 710 00:42:19,800 --> 00:42:22,680 Speaker 4: they'll respond and go, oh, I would feel better. I 711 00:42:22,719 --> 00:42:25,160 Speaker 4: guess I would feel pretty great. I would feel relieved, 712 00:42:25,239 --> 00:42:27,720 Speaker 4: I would feel like this weight off my shoulders, and 713 00:42:27,719 --> 00:42:30,720 Speaker 4: and it happens that quickly. Then the matter is simply 714 00:42:30,960 --> 00:42:34,200 Speaker 4: doing it again and again and again, until every time 715 00:42:34,239 --> 00:42:36,680 Speaker 4: that memory of that grievance comes back in your head 716 00:42:36,719 --> 00:42:38,799 Speaker 4: you go, oh, yeah, I'm forgiving this. I'm done with 717 00:42:38,840 --> 00:42:42,280 Speaker 4: this one now, and you know, kind of kaboom, it's gone. 718 00:42:42,360 --> 00:42:45,960 Speaker 4: It's kind of this wonder drug superpower. If if humans have 719 00:42:46,080 --> 00:42:50,799 Speaker 4: that we've sort of, you know, ignored because we think 720 00:42:50,840 --> 00:42:53,160 Speaker 4: that maybe it's a weakness or it makes us a doormat, 721 00:42:53,160 --> 00:42:55,120 Speaker 4: which is not what it's supposed to do. It doesn't 722 00:42:55,120 --> 00:42:57,799 Speaker 4: stop you from acting in self defense or getting out 723 00:42:57,800 --> 00:43:01,399 Speaker 4: of a toxic relationship, but it does help you heal 724 00:43:01,600 --> 00:43:05,240 Speaker 4: from the wrongs of the past in those relationships very quickly. 725 00:43:05,440 --> 00:43:08,080 Speaker 4: It's cheap. You can get it without a prescription. I mean, 726 00:43:08,280 --> 00:43:10,040 Speaker 4: there's just you can use it as off as you 727 00:43:10,040 --> 00:43:12,000 Speaker 4: want with no side effects. It's just like, there is 728 00:43:12,040 --> 00:43:15,120 Speaker 4: nothing better than forgiveness for anybody. 729 00:43:15,480 --> 00:43:18,759 Speaker 1: Yes, thank you, thank you, thank you, thank you, thank you. 730 00:43:19,800 --> 00:43:23,640 Speaker 3: Fair welcome, No, no moment. 731 00:43:25,480 --> 00:43:30,320 Speaker 1: Rick Wilson, Holly Jogfast, I flew here this morning. 732 00:43:30,920 --> 00:43:35,200 Speaker 3: And your pilot who flew you there had two certifications, 733 00:43:35,360 --> 00:43:38,120 Speaker 3: once called an ATP and the others called a commercial 734 00:43:38,160 --> 00:43:39,040 Speaker 3: pilot certificate. 735 00:43:39,200 --> 00:43:40,480 Speaker 1: Why do we bring this up? 736 00:43:40,640 --> 00:43:43,520 Speaker 3: Well, the new head of the FAA claimed it turns 737 00:43:43,520 --> 00:43:45,399 Speaker 3: out you're going to be shocked to hear this from 738 00:43:45,400 --> 00:43:49,440 Speaker 3: somebody in the Trump administration claimed falsely that he had 739 00:43:49,480 --> 00:43:52,080 Speaker 3: a commercial pilot certificate. He has an instrument rating as 740 00:43:52,080 --> 00:43:54,759 Speaker 3: a multi engineer rating, but he does not have a 741 00:43:54,800 --> 00:43:57,680 Speaker 3: commercial pilot certificate. It's not that hard to get, but 742 00:43:58,160 --> 00:44:01,280 Speaker 3: it's really stupid to lie about having one when you don't. 743 00:44:01,480 --> 00:44:05,200 Speaker 1: But also, why does Trump World keep elevating people who 744 00:44:05,760 --> 00:44:06,760 Speaker 1: can't tell the truth. 745 00:44:07,040 --> 00:44:10,880 Speaker 3: They're not sending their best, They're not the endless parade 746 00:44:11,400 --> 00:44:18,160 Speaker 3: of weak, weird, shitty, non effective candidates for these jobs. 747 00:44:18,520 --> 00:44:22,360 Speaker 3: It's not coming because Donald Trump has a rich portfolio 748 00:44:22,440 --> 00:44:25,360 Speaker 3: of options. This is what he's got. These are the 749 00:44:25,400 --> 00:44:28,279 Speaker 3: people that will work for him. Now, it's not a 750 00:44:28,320 --> 00:44:30,960 Speaker 3: great world to live in if you're a Trump appointee 751 00:44:31,320 --> 00:44:33,840 Speaker 3: at this point, you're in such a group of scales 752 00:44:33,920 --> 00:44:37,839 Speaker 3: and weirdos and fuck ups that honestly, why bothered a lie? 753 00:44:38,120 --> 00:44:42,600 Speaker 3: Just say I'm a mid range, middling talent nobody who 754 00:44:42,640 --> 00:44:45,759 Speaker 3: would like this job. Please, mister Trump, love me. Don't 755 00:44:45,800 --> 00:44:48,880 Speaker 3: bother to lie in overstate your qualifications. It just doesn't 756 00:44:48,920 --> 00:44:52,719 Speaker 3: work anymore. Rick Wilson, Molly John Fast We'll see you 757 00:44:52,760 --> 00:44:53,240 Speaker 3: next week. 758 00:44:54,120 --> 00:44:58,600 Speaker 1: That's it for this episode of Fast Politics. Tune in 759 00:44:58,800 --> 00:45:04,240 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 760 00:45:04,320 --> 00:45:08,600 Speaker 1: minds and politics make sense of all this chaos. If 761 00:45:08,640 --> 00:45:11,720 Speaker 1: you enjoy this podcast, please send it to a friend 762 00:45:12,120 --> 00:45:15,320 Speaker 1: and keep the conversation going Thanks for listening,