1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Mollie John Fast and this is Fast Politics, 2 00:00:04,400 --> 00:00:07,160 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,200 --> 00:00:09,160 Speaker 1: today's best minds. 4 00:00:08,800 --> 00:00:12,840 Speaker 2: And Judge Aileen Canon has shockingly shown deferential treatment to 5 00:00:12,880 --> 00:00:16,439 Speaker 2: Trump and paused some deadlines in the classified documents case. 6 00:00:16,520 --> 00:00:18,840 Speaker 2: We're back from vacation to have such a great show 7 00:00:18,880 --> 00:00:21,960 Speaker 2: for you today. National Memo editor Joe Connison stops by 8 00:00:22,000 --> 00:00:24,120 Speaker 2: to tell us about his new book, The Longest Con 9 00:00:24,440 --> 00:00:28,600 Speaker 2: How grifters, Swindler's and fraud's hijacked American Conservatism. Then we'll 10 00:00:28,640 --> 00:00:32,319 Speaker 2: talk to Next Jet America's Christina Sinsoon Ramirez, who will 11 00:00:32,320 --> 00:00:34,479 Speaker 2: tell us how to get young people out to vote. 12 00:00:34,560 --> 00:00:36,960 Speaker 2: But first we have the host of the Enemy's List, 13 00:00:37,120 --> 00:00:39,440 Speaker 2: the Linked Project's own Rick Wilson. 14 00:00:39,840 --> 00:00:46,760 Speaker 1: Welcome back. Two weeks of vacation for me, and now 15 00:00:46,800 --> 00:00:50,600 Speaker 1: we are back with my bestie. We did actually talk 16 00:00:50,640 --> 00:00:54,080 Speaker 1: while we were on vacation, not together the Rick Wilson 17 00:00:54,160 --> 00:00:55,880 Speaker 1: Hello friend, Hello. 18 00:00:55,640 --> 00:00:58,640 Speaker 3: My dear, how are you doing on this fine, fine, 19 00:00:58,800 --> 00:01:00,840 Speaker 3: fine fine summer day. 20 00:01:01,680 --> 00:01:04,039 Speaker 1: So I just want to quickly say that the reason 21 00:01:04,080 --> 00:01:06,039 Speaker 1: that I ended up having to take a little more 22 00:01:06,080 --> 00:01:08,560 Speaker 1: time off was because I ended up having to have surgery. 23 00:01:08,959 --> 00:01:11,640 Speaker 1: It was totally fine. I don't have cancer. It was 24 00:01:11,920 --> 00:01:14,280 Speaker 1: just a surgery that I had to have. But I 25 00:01:14,360 --> 00:01:17,080 Speaker 1: ended up having to take an extra week off because 26 00:01:17,160 --> 00:01:19,360 Speaker 1: as much as I told the doctors that I was 27 00:01:19,400 --> 00:01:22,480 Speaker 1: good to podcast, they suggested that perhaps I should just 28 00:01:22,920 --> 00:01:23,560 Speaker 1: slow my role. 29 00:01:23,720 --> 00:01:25,480 Speaker 3: You know, it was a guy who went through a 30 00:01:25,720 --> 00:01:29,400 Speaker 3: minor but highly inconvenient surgery earlier this year. I feel 31 00:01:29,400 --> 00:01:31,800 Speaker 3: your pain. I really do. It's it's just like you 32 00:01:31,840 --> 00:01:33,640 Speaker 3: want to be back in it like the next day, 33 00:01:33,800 --> 00:01:35,400 Speaker 3: and they're like, why don't you take one day off? 34 00:01:35,560 --> 00:01:37,360 Speaker 3: Why don't you take off one day off? Son of 35 00:01:37,360 --> 00:01:37,759 Speaker 3: a bitch. 36 00:01:39,000 --> 00:01:41,440 Speaker 1: I had surgery on Monday, and I was like, so, 37 00:01:41,520 --> 00:01:43,760 Speaker 1: I'm thinking i'll be back by Wednesday, and they were like, 38 00:01:43,840 --> 00:01:46,880 Speaker 1: you know, like yeah. 39 00:01:46,600 --> 00:01:49,760 Speaker 3: Why don't we go ahead and review that situation, young lady. 40 00:01:50,000 --> 00:01:52,840 Speaker 1: Yeah, it's been very quiet. No news people are going 41 00:01:52,880 --> 00:01:55,400 Speaker 1: to be listening this Monday morning. But I think first 42 00:01:55,400 --> 00:01:58,080 Speaker 1: thing we should be talking about is this huge victory 43 00:01:58,240 --> 00:02:01,560 Speaker 1: in France. Fash is a got punched in the face 44 00:02:01,680 --> 00:02:02,720 Speaker 1: yet again, Mollie. 45 00:02:02,880 --> 00:02:04,880 Speaker 3: Here's the thing that I find the most interesting about 46 00:02:04,880 --> 00:02:08,320 Speaker 3: those results. I just spoke to an overseas reporter about 47 00:02:08,320 --> 00:02:11,600 Speaker 3: an hour ago and she said, well, it was expected 48 00:02:11,600 --> 00:02:14,160 Speaker 3: in England that the Conservatives would be blown out, but 49 00:02:14,240 --> 00:02:16,120 Speaker 3: it wasn't expected in France. And I said, one of 50 00:02:16,120 --> 00:02:19,320 Speaker 3: the great tricks of the global right is to convince 51 00:02:19,400 --> 00:02:24,000 Speaker 3: people that their weak bad hand is a royal flush 52 00:02:24,120 --> 00:02:27,160 Speaker 3: and that they're always winning, they're always ahead, and always 53 00:02:27,520 --> 00:02:30,240 Speaker 3: they're always in control of the situation, and they're really not. 54 00:02:30,840 --> 00:02:33,560 Speaker 3: And so what we saw in France was I think 55 00:02:33,800 --> 00:02:38,320 Speaker 3: very telling that Macron was able to manage his own 56 00:02:38,320 --> 00:02:41,440 Speaker 3: internal dynamics in his party get people who were not 57 00:02:41,600 --> 00:02:45,000 Speaker 3: unified to understand that the threat they were facing required 58 00:02:45,000 --> 00:02:48,280 Speaker 3: them all to come together. And I don't know, maybe 59 00:02:48,280 --> 00:02:50,960 Speaker 3: that's a lesson that could be applied in other nations. 60 00:02:51,040 --> 00:02:54,079 Speaker 3: I'm struggling to think of one at the moment, but 61 00:02:54,720 --> 00:02:57,320 Speaker 3: it did sort of wrap. It did inspire me a 62 00:02:57,400 --> 00:03:00,720 Speaker 3: bit that the good guy side of the equations and 63 00:03:00,840 --> 00:03:02,640 Speaker 3: arguments doesn't have to suck. 64 00:03:02,600 --> 00:03:05,440 Speaker 1: Yes, And I think that also. One of the things 65 00:03:05,440 --> 00:03:09,400 Speaker 1: about France is that the polls were again overstated. The 66 00:03:09,400 --> 00:03:13,800 Speaker 1: fascists understated the normals, and we saw that in the 67 00:03:13,880 --> 00:03:17,200 Speaker 1: UK too, like these sure, you know, they're trying to 68 00:03:17,200 --> 00:03:19,280 Speaker 1: make up for the surprise of Brexit or the surprise 69 00:03:19,320 --> 00:03:22,200 Speaker 1: of Trump by sort of juicing the numbers to be 70 00:03:22,320 --> 00:03:25,639 Speaker 1: more pro Trump or pro Brexit. I think an important 71 00:03:25,720 --> 00:03:26,519 Speaker 1: lesson here. 72 00:03:26,919 --> 00:03:30,560 Speaker 3: The idea that the minority is the majority is central 73 00:03:30,880 --> 00:03:34,679 Speaker 3: to an awful lot of authoritarian movements and fascist movements 74 00:03:34,760 --> 00:03:37,680 Speaker 3: and right wing politics globally, and has been so for 75 00:03:37,720 --> 00:03:40,200 Speaker 3: a long time. And you did see that. You saw 76 00:03:40,520 --> 00:03:44,320 Speaker 3: that they try to celebrify most of their people. Now. 77 00:03:44,520 --> 00:03:48,360 Speaker 3: So in France, it wasn't cranky old right winger daughter 78 00:03:48,440 --> 00:03:51,720 Speaker 3: of cranky old right winger Marine Lapin. It was young 79 00:03:51,880 --> 00:03:56,200 Speaker 3: sexy Jordan Bardilla. Look at it's so beautiful. I mean, 80 00:03:56,400 --> 00:04:00,240 Speaker 3: some of these people who are playing this game of 81 00:04:00,640 --> 00:04:06,920 Speaker 3: our people are always twelve feet tall, covered in solid gold, heroic, brilliant, 82 00:04:06,960 --> 00:04:11,000 Speaker 3: perfect geniuses, and the left are incompetent blah blah blah. 83 00:04:11,000 --> 00:04:13,440 Speaker 3: Well so in two races now in Europe and two 84 00:04:13,480 --> 00:04:16,560 Speaker 3: of the largest Western democracies, we have seen that again. 85 00:04:16,800 --> 00:04:21,200 Speaker 3: When confronted with an existential threat, the left sometimes says, oh, 86 00:04:21,240 --> 00:04:23,400 Speaker 3: wait a minute, we can settle our family business a 87 00:04:23,440 --> 00:04:25,960 Speaker 3: little later. Let's go kill bad guys first. 88 00:04:26,279 --> 00:04:30,599 Speaker 1: Yeah, and by kill, we don't mean kill, we mean win. 89 00:04:30,800 --> 00:04:34,200 Speaker 1: At the ballad box because I don't want anyone cutting. 90 00:04:33,960 --> 00:04:36,520 Speaker 3: Well, ye call me crazy, but Mark Robinson down in 91 00:04:36,520 --> 00:04:38,839 Speaker 3: North Carolina, it's like I want to count bodies and 92 00:04:38,880 --> 00:04:41,400 Speaker 3: stuck them up and then eat them. Now I'm skipping 93 00:04:41,400 --> 00:04:42,640 Speaker 3: eat in city, eat them partner. 94 00:04:42,680 --> 00:04:47,920 Speaker 1: Let's not take our cues from Mark Robinson. No, cannibalism 95 00:04:48,040 --> 00:04:49,880 Speaker 1: is strictly an RFPA junior thing. 96 00:04:50,080 --> 00:04:54,520 Speaker 4: Go on, I have tasted the long pig Molly, and 97 00:04:53,960 --> 00:04:57,000 Speaker 4: I will never be the same. Why do you think 98 00:04:57,040 --> 00:05:01,800 Speaker 4: I'm opposed to all this anti vaccent Jesus exact right. 99 00:05:01,920 --> 00:05:07,080 Speaker 1: He doesn't want to eat and continue. Yes, I hate 100 00:05:07,120 --> 00:05:09,240 Speaker 1: to be the grown up here, but it really does 101 00:05:09,320 --> 00:05:12,920 Speaker 1: feel like there is a real salient and important point 102 00:05:12,960 --> 00:05:15,960 Speaker 1: that you're making here, Rick Wilson, which is that the 103 00:05:16,400 --> 00:05:19,960 Speaker 1: bad guys puff themselves up and make it so the 104 00:05:20,000 --> 00:05:21,479 Speaker 1: good guys think they're gonna lose. 105 00:05:21,600 --> 00:05:23,280 Speaker 3: If I'm going to use a southernism, they're a lot 106 00:05:23,320 --> 00:05:26,599 Speaker 3: like a nose a hognose snake in Florida. Hognose snake's 107 00:05:26,600 --> 00:05:29,600 Speaker 3: perfectly harmless, all right, but when the hognose is threatened, 108 00:05:29,600 --> 00:05:31,839 Speaker 3: it puffs its face up and looks like a rattlesnake. 109 00:05:32,080 --> 00:05:34,120 Speaker 3: So They're always trying to make themselves puff up and 110 00:05:34,160 --> 00:05:36,800 Speaker 3: look like a rattlesnake. They're always trying to make you afraid. 111 00:05:37,120 --> 00:05:39,000 Speaker 3: They're always trying to make you feel like, oh my god, 112 00:05:39,080 --> 00:05:42,120 Speaker 3: these guys have got so many advantages, and they do 113 00:05:42,160 --> 00:05:46,280 Speaker 3: represent the majority of the and they never do. Trump 114 00:05:46,440 --> 00:05:50,360 Speaker 3: Ism is a failed ideology with the general public. If 115 00:05:50,400 --> 00:05:52,840 Speaker 3: we didn't have the electoral college system another subject for 116 00:05:52,880 --> 00:05:58,080 Speaker 3: another day, in this country, trumpism would be utterly irrelevant. 117 00:05:58,320 --> 00:06:01,400 Speaker 3: It's about like flat Earth is in terms of hard numbers. 118 00:06:01,800 --> 00:06:04,400 Speaker 3: But because we have the situation we have with our 119 00:06:04,480 --> 00:06:08,760 Speaker 3: electoral college system, trump ism is viable enough to be 120 00:06:08,920 --> 00:06:14,120 Speaker 3: viable in enough places to roll up the numbers. But again, 121 00:06:14,160 --> 00:06:17,320 Speaker 3: what you're seeing is they're like a hog nosed snake. 122 00:06:17,360 --> 00:06:20,000 Speaker 3: They're trying to pretend that they're stronger than they are, 123 00:06:20,520 --> 00:06:22,520 Speaker 3: and a lot of people, a lot of our friends 124 00:06:22,560 --> 00:06:26,400 Speaker 3: on the left, buy into that illusion. And I spend 125 00:06:26,440 --> 00:06:27,840 Speaker 3: a lot of my day, and I know you spend 126 00:06:27,839 --> 00:06:30,080 Speaker 3: a lot of your day walking them back from the 127 00:06:30,080 --> 00:06:34,760 Speaker 3: cliffs saying no, no, Donald Trump cannot get four fat 128 00:06:34,839 --> 00:06:37,200 Speaker 3: thosand three hundred and ninety two electoral college votes. There 129 00:06:37,200 --> 00:06:38,160 Speaker 3: aren't that many. 130 00:06:38,200 --> 00:06:41,240 Speaker 1: But they said, there were, and I'm afraid we don't 131 00:06:41,279 --> 00:06:41,720 Speaker 1: know how to. 132 00:06:41,680 --> 00:06:43,680 Speaker 3: Do you know what? You all know how to do this? 133 00:06:43,839 --> 00:06:46,440 Speaker 3: They look, guys, it is even about left and right. 134 00:06:46,680 --> 00:06:49,680 Speaker 3: This is about going out and treating races as they 135 00:06:49,680 --> 00:06:52,640 Speaker 3: should be treated. Work with the things that work for 136 00:06:52,760 --> 00:06:55,800 Speaker 3: you and your campaign, do the things you have to 137 00:06:55,839 --> 00:06:58,320 Speaker 3: do to win over the middle. The edge cases on 138 00:06:58,440 --> 00:07:00,560 Speaker 3: either side are never as strong as you think. And 139 00:07:00,600 --> 00:07:04,039 Speaker 3: that was the secret sauce in the UK this week, right. 140 00:07:04,279 --> 00:07:06,880 Speaker 1: But I also think, and again you've said this to 141 00:07:06,920 --> 00:07:09,080 Speaker 1: me before, actually I have two things I want to 142 00:07:09,080 --> 00:07:11,120 Speaker 1: talk about. First is the thing you always say to 143 00:07:11,120 --> 00:07:14,119 Speaker 1: me that has been drilled into my brain now, which 144 00:07:14,200 --> 00:07:16,880 Speaker 1: is elections are a referendum on the incumbent. If you 145 00:07:16,920 --> 00:07:20,960 Speaker 1: make this a referendum on Donald J. Trump, you win. 146 00:07:21,160 --> 00:07:23,800 Speaker 3: That is correct, and that is what this election can 147 00:07:24,120 --> 00:07:27,520 Speaker 3: and must be. There is no alternative. You have to 148 00:07:27,520 --> 00:07:30,040 Speaker 3: make it about Trump. If it's about Joe Biden or 149 00:07:30,080 --> 00:07:33,520 Speaker 3: any Democrat. Frankly, our chances of winning are a lot lower. 150 00:07:33,680 --> 00:07:38,200 Speaker 3: If this election is a choice about Donald Trump or America, 151 00:07:38,240 --> 00:07:41,320 Speaker 3: America is going to win. But without that choice on 152 00:07:41,440 --> 00:07:44,520 Speaker 3: the table, it is not as easy for voters to 153 00:07:44,600 --> 00:07:47,200 Speaker 3: go into the voting with and say, Okay, I know 154 00:07:47,280 --> 00:07:49,800 Speaker 3: what this is. It's not how many parts per billion 155 00:07:49,840 --> 00:07:52,160 Speaker 3: of carbon are going to be the atmosphere, or or 156 00:07:52,280 --> 00:07:55,120 Speaker 3: is it six weeks, twelve weeks or thirty weeks for 157 00:07:55,200 --> 00:07:58,400 Speaker 3: an abortion. It's none of the policy stuff. It's all 158 00:07:58,520 --> 00:08:01,680 Speaker 3: about the fundamental. Do you want a country that looks 159 00:08:01,720 --> 00:08:04,000 Speaker 3: like Donald Trump in the future? Do you want to 160 00:08:04,040 --> 00:08:07,720 Speaker 3: see a country where he keeps his campaign promises? And 161 00:08:07,800 --> 00:08:09,680 Speaker 3: if you think that country is a country you want 162 00:08:09,680 --> 00:08:12,080 Speaker 3: to live in, well I can't help you. I can't 163 00:08:12,160 --> 00:08:15,120 Speaker 3: change your mind about that, but I can make the 164 00:08:15,240 --> 00:08:18,480 Speaker 3: argument over and over again that trump Ism is disconnected 165 00:08:18,520 --> 00:08:20,600 Speaker 3: from two thirds of the population. A lot of the 166 00:08:20,640 --> 00:08:24,120 Speaker 3: things he wants to do if he's elected president again are. 167 00:08:24,120 --> 00:08:26,360 Speaker 1: Deeply, profoundly unpopular. 168 00:08:26,520 --> 00:08:28,240 Speaker 3: Exactly right, Molly, exactly right. 169 00:08:28,440 --> 00:08:31,000 Speaker 1: I'm working on a piece for my Vanity Fair column 170 00:08:31,160 --> 00:08:34,400 Speaker 1: about this project twenty twenty five, and you know I've 171 00:08:34,400 --> 00:08:37,320 Speaker 1: written about it. Jesse and I did a YouTube series 172 00:08:37,360 --> 00:08:40,000 Speaker 1: about it which is going to drop soon, and so 173 00:08:40,120 --> 00:08:42,240 Speaker 1: we've spent a lot of time talking about it in interviewing 174 00:08:42,240 --> 00:08:45,240 Speaker 1: people about it. And one of the things that is 175 00:08:45,280 --> 00:08:48,360 Speaker 1: so interesting about it, besides the fact that it invokes 176 00:08:48,400 --> 00:08:52,720 Speaker 1: the Comstock Act to prevent the mailing of abortion pills. 177 00:08:52,840 --> 00:08:57,200 Speaker 1: It defines marriage as biblical whatever is defined in the Bible. 178 00:08:57,240 --> 00:08:59,959 Speaker 1: I mean, it's very Christian nationalists, and it wants to 179 00:09:00,160 --> 00:09:03,080 Speaker 1: regulate IVF. And what I think is so interesting about 180 00:09:03,080 --> 00:09:05,040 Speaker 1: Project twenty from five? And you tell me if you 181 00:09:05,040 --> 00:09:08,280 Speaker 1: think I'm wrong. A lot of times Trump, when something 182 00:09:08,320 --> 00:09:11,760 Speaker 1: comes up that's bad, he'll say, damn right, I did it. Yeah, 183 00:09:11,800 --> 00:09:14,160 Speaker 1: I did it, Yeah, I do it again, you know. 184 00:09:14,800 --> 00:09:17,120 Speaker 1: And on this he's like, I have nothing to do 185 00:09:17,200 --> 00:09:18,640 Speaker 1: with this. I don't even know what this is. 186 00:09:19,000 --> 00:09:21,800 Speaker 3: So I wrote a piece over the weekend called Trump's 187 00:09:21,840 --> 00:09:25,319 Speaker 3: Project twenty twenty five lies. The media is not seeing 188 00:09:25,640 --> 00:09:29,040 Speaker 3: the forest for the lies. Right. My opening line is, 189 00:09:29,080 --> 00:09:31,960 Speaker 3: when Donald Trump denies something, you should always take it 190 00:09:32,000 --> 00:09:35,040 Speaker 3: as a full confession of his absolute guilt. Right. I 191 00:09:35,040 --> 00:09:37,559 Speaker 3: didn't sleep with Stormy Daniels porn star. No I didn't. 192 00:09:37,720 --> 00:09:40,320 Speaker 3: That means he did sleep with Stormy Daniels the porn star, 193 00:09:40,679 --> 00:09:43,280 Speaker 3: maybe for only forty five seconds or so, but he did, right. 194 00:09:46,720 --> 00:09:49,440 Speaker 3: And this thing with Project twenty twenty five. And I 195 00:09:49,520 --> 00:09:53,280 Speaker 3: have to say our old alumni website, The Daily Beast 196 00:09:53,440 --> 00:09:56,040 Speaker 3: had a piece that actually got to the guts of it. 197 00:09:56,400 --> 00:09:59,400 Speaker 3: Trump ripped for denying Project twenty twenty five connections despite 198 00:09:59,400 --> 00:10:02,200 Speaker 3: the evidence. So I went and I wrote down just 199 00:10:02,280 --> 00:10:04,040 Speaker 3: like a half a dozen of people that I could 200 00:10:04,080 --> 00:10:06,280 Speaker 3: pull up from memory that I know we're involved in 201 00:10:06,280 --> 00:10:10,680 Speaker 3: Project twenty twenty five because this thing is and Trump's 202 00:10:10,800 --> 00:10:13,760 Speaker 3: people I heard about this on Friday. Trump's people were 203 00:10:13,800 --> 00:10:19,079 Speaker 3: bragging to reporters and bragging to political activists on Friday. Yeah, 204 00:10:19,240 --> 00:10:21,680 Speaker 3: we got the media to write the headline we wanted. 205 00:10:21,800 --> 00:10:24,679 Speaker 3: We got his headline in this Trump denies connection to 206 00:10:24,720 --> 00:10:27,679 Speaker 3: Project twenty twenty five, right, And most of the stories 207 00:10:27,840 --> 00:10:31,240 Speaker 3: might have gotten to it, like on paragraph nine, but 208 00:10:31,320 --> 00:10:35,880 Speaker 3: most of those stories are page A, eight, A, fifteen whatever. 209 00:10:36,400 --> 00:10:39,440 Speaker 3: The New York Times. The New York Times, as of 210 00:10:39,640 --> 00:10:41,960 Speaker 3: the time we're recording this, has yet to do a 211 00:10:41,960 --> 00:10:44,120 Speaker 3: story about the fact that Donald Trump is denying Project 212 00:10:44,160 --> 00:10:48,080 Speaker 3: twenty twenty five. But they have posted today twelve separate 213 00:10:48,160 --> 00:10:51,400 Speaker 3: stories about unnamed junior aides to Joe Biden who say 214 00:10:51,400 --> 00:10:54,080 Speaker 3: he's senile and must and must go right right. 215 00:10:54,160 --> 00:10:54,920 Speaker 1: I mean, that's the. 216 00:10:54,920 --> 00:10:57,640 Speaker 3: Problem, you know what, guys. I try not to do 217 00:10:57,720 --> 00:11:00,320 Speaker 3: media bashing I really do, because we are part of 218 00:11:00,320 --> 00:11:03,520 Speaker 3: that universe. I try not to. But the frenzy in 219 00:11:03,679 --> 00:11:07,840 Speaker 3: Washington right now, and folks, they are talking to fucking 220 00:11:07,960 --> 00:11:10,880 Speaker 3: interns at this point about what's going on. This has 221 00:11:10,960 --> 00:11:14,400 Speaker 3: become a game where junior staffers are like, I'm going 222 00:11:14,440 --> 00:11:17,320 Speaker 3: to make my bones now with whoever, whether it's you know, 223 00:11:17,640 --> 00:11:21,360 Speaker 3: Maggie or Jonathan or or or Peter Baker or who 224 00:11:21,559 --> 00:11:24,160 Speaker 3: they're all everyone there is leaking like a sieve. So 225 00:11:24,200 --> 00:11:26,160 Speaker 3: they seem like the cool kid. So they seem like 226 00:11:26,160 --> 00:11:28,960 Speaker 3: they're like, ah, yes, I'm the cynical and I'm twenty six, 227 00:11:29,000 --> 00:11:31,680 Speaker 3: but I'm cynical, so you should hear me out. I 228 00:11:31,720 --> 00:11:36,400 Speaker 3: mean the idea that the coverage ratio to on on 229 00:11:36,480 --> 00:11:39,679 Speaker 3: Trump and one of the most consequential and dangerous public 230 00:11:39,720 --> 00:11:45,160 Speaker 3: policy efforts in our history, versus a Washington parlor game 231 00:11:45,520 --> 00:11:48,400 Speaker 3: right about should he go? Should he still? Should day? 232 00:11:48,480 --> 00:11:52,840 Speaker 3: Should he go? And unfortunately for America, the idea that 233 00:11:52,880 --> 00:11:55,319 Speaker 3: the coverage is going to generate more clicks and more 234 00:11:55,360 --> 00:11:58,000 Speaker 3: TV and be in the in the hamster wheel, the 235 00:11:58,000 --> 00:12:00,520 Speaker 3: conveyor belt of the story, and it will somehow in 236 00:12:00,720 --> 00:12:03,240 Speaker 3: a certain way. I think it's wrong, but I do 237 00:12:03,320 --> 00:12:06,000 Speaker 3: think what it is is it's a common error on 238 00:12:06,040 --> 00:12:08,760 Speaker 3: the media. It's part a common error on the part 239 00:12:08,840 --> 00:12:11,359 Speaker 3: of a lot, a lot of all, a lot of Democrats, 240 00:12:11,400 --> 00:12:12,839 Speaker 3: a common error on the part of folks on the 241 00:12:12,880 --> 00:12:16,480 Speaker 3: left to believe that you can ever take a minute 242 00:12:16,559 --> 00:12:20,000 Speaker 3: off of the attack on Donald Trump. He's now had 243 00:12:20,040 --> 00:12:23,360 Speaker 3: a solid week where he's basically gotten to play golf. 244 00:12:23,880 --> 00:12:25,920 Speaker 1: Yeah, he does love golf. 245 00:12:25,960 --> 00:12:26,800 Speaker 3: It's unforgivable. 246 00:12:26,920 --> 00:12:29,640 Speaker 1: One of the things that I'm struck by in my own, 247 00:12:29,880 --> 00:12:33,760 Speaker 1: you know world, is just that it doesn't a decision 248 00:12:33,800 --> 00:12:37,600 Speaker 1: that's this enormous does not need to be made in 249 00:12:37,760 --> 00:12:40,559 Speaker 1: four days. You know, I'm in correct. I was on 250 00:12:40,920 --> 00:12:44,360 Speaker 1: television with this. He's actually a young staffer who works 251 00:12:44,760 --> 00:12:46,920 Speaker 1: who worked for two people, but his bona fides were 252 00:12:46,920 --> 00:12:48,760 Speaker 1: not great, and he was saying, you know, he's got 253 00:12:48,800 --> 00:12:51,200 Speaker 1: to drop out. We need him out yesterday. And it's 254 00:12:51,360 --> 00:12:53,320 Speaker 1: just that is not the way to deal with a 255 00:12:53,320 --> 00:12:56,720 Speaker 1: big decision like that. And I certainly always feel that 256 00:12:56,720 --> 00:12:59,240 Speaker 1: if it's urgent, it's probably the wrong decision. 257 00:12:59,559 --> 00:13:02,400 Speaker 3: Almost always, if I may quote the nineteen ninety five 258 00:13:02,440 --> 00:13:07,839 Speaker 3: documentary Gets Shorty, there's a scene where a guy says, 259 00:13:08,080 --> 00:13:10,280 Speaker 3: excuse me, bro, but who the fuck are you? I 260 00:13:10,320 --> 00:13:11,960 Speaker 3: get a lot of excuse me, bro, but who the 261 00:13:11,960 --> 00:13:14,440 Speaker 3: fuck are you right now from a lot of people 262 00:13:14,720 --> 00:13:17,520 Speaker 3: on both sides of the equation who have not been 263 00:13:17,559 --> 00:13:21,400 Speaker 3: in national campaigns, who have not been operatives in big 264 00:13:21,440 --> 00:13:26,800 Speaker 3: picture campaigns, who are in either policy jobs or administrative 265 00:13:26,880 --> 00:13:31,240 Speaker 3: jobs inside the administration or inside the sort of DC ecosystem, 266 00:13:31,480 --> 00:13:34,360 Speaker 3: and a lot of people who I think watched a 267 00:13:34,400 --> 00:13:37,600 Speaker 3: little too much West Wing or watched a little too 268 00:13:37,640 --> 00:13:40,280 Speaker 3: much House of Cards, and they think things work a 269 00:13:40,320 --> 00:13:42,960 Speaker 3: certain way, and you can magically just say that we're 270 00:13:43,000 --> 00:13:46,000 Speaker 3: going to do this trick where everyone will agree that 271 00:13:46,040 --> 00:13:48,360 Speaker 3: it's the right trick to do, and everyone will understand 272 00:13:48,400 --> 00:13:50,839 Speaker 3: why we're doing it, and it will work out perfectly, and 273 00:13:50,960 --> 00:13:53,280 Speaker 3: know one will leak it, fuck it up, make a mistake, 274 00:13:53,559 --> 00:13:56,640 Speaker 3: do something illegal, do something stupid, do something politically fatal. 275 00:13:56,720 --> 00:13:59,040 Speaker 3: All those things are actually the more likely outcome of 276 00:13:59,080 --> 00:13:59,679 Speaker 3: these things. 277 00:14:00,080 --> 00:14:03,200 Speaker 1: I actually wrote to Margaret Sullivan about this, and she said, 278 00:14:03,480 --> 00:14:06,760 Speaker 1: creating the news is not the job of good journalism, 279 00:14:06,880 --> 00:14:11,400 Speaker 1: which is to cover reality and the truth perfectly put right, 280 00:14:11,480 --> 00:14:14,040 Speaker 1: Creating the news is not the job of good journalism, 281 00:14:14,080 --> 00:14:16,080 Speaker 1: which is to cover the reality and the truth, and 282 00:14:16,120 --> 00:14:19,320 Speaker 1: I think that that is you know, we're trying. I mean, 283 00:14:19,360 --> 00:14:21,200 Speaker 1: you and I are on the opinion side, so it's 284 00:14:21,200 --> 00:14:24,160 Speaker 1: a bit different. But like you know, we are trying 285 00:14:24,360 --> 00:14:27,400 Speaker 1: as best we can to reflect what we see happening 286 00:14:27,560 --> 00:14:31,480 Speaker 1: and not in fact, to create what we think should happen. 287 00:14:31,760 --> 00:14:34,160 Speaker 3: Yeah, and I've said this from the beginning. I know 288 00:14:34,280 --> 00:14:38,160 Speaker 3: for a fact what my job and role and mission is. 289 00:14:38,360 --> 00:14:40,120 Speaker 3: It is to beat the fuck out of Donald Trump. 290 00:14:40,400 --> 00:14:43,240 Speaker 3: It is to beat him and defeat him. My mission 291 00:14:43,280 --> 00:14:46,560 Speaker 3: is not to determine how the democratic internal dynamics work out, 292 00:14:46,720 --> 00:14:48,880 Speaker 3: because you know what, if it's Joe Biden, or if 293 00:14:48,880 --> 00:14:51,600 Speaker 3: it's Kamala Harris, or if it's any Rando pulled off 294 00:14:51,640 --> 00:14:53,800 Speaker 3: the fucking street, you know we're still going to have 295 00:14:53,800 --> 00:14:56,640 Speaker 3: to do as people in the pro democracy movement, it's 296 00:14:56,760 --> 00:14:59,600 Speaker 3: to go after Donald Trump every day. You can't give 297 00:14:59,640 --> 00:15:01,320 Speaker 3: him a day. There's only less than one hundred and 298 00:15:01,320 --> 00:15:03,320 Speaker 3: twenty days left to go in this race. You can't 299 00:15:03,360 --> 00:15:05,120 Speaker 3: give him a day off. And we've given him now 300 00:15:05,520 --> 00:15:09,800 Speaker 3: a week because of a very self indulgent culture in 301 00:15:10,160 --> 00:15:14,800 Speaker 3: Washington politics and the media. And this isn't all Joe Biden. 302 00:15:15,200 --> 00:15:19,760 Speaker 3: With this Shakespearean drama of Joe Biden. It's a lot 303 00:15:19,800 --> 00:15:22,760 Speaker 3: of it, and let's be really, really, really really honest 304 00:15:22,760 --> 00:15:27,440 Speaker 3: with ourselves. Is the desire of many, many people for novelty, 305 00:15:27,960 --> 00:15:29,560 Speaker 3: change and spectacle. 306 00:15:29,840 --> 00:15:33,120 Speaker 1: Yeah, and I also think the media wants to stay relevant, 307 00:15:33,160 --> 00:15:35,920 Speaker 1: and we've not had the best time of it latelight. 308 00:15:36,160 --> 00:15:38,000 Speaker 3: No, I think that's true, and I think there I 309 00:15:38,040 --> 00:15:41,040 Speaker 3: think there are people at a certain major institution who've 310 00:15:41,080 --> 00:15:44,000 Speaker 3: taken their vendetta because they didn't get a private interview 311 00:15:44,440 --> 00:15:48,320 Speaker 3: with Joe Biden to a level that is now so obvious. 312 00:15:48,600 --> 00:15:52,240 Speaker 3: When I see a lot of magas retweeting stories from 313 00:15:52,240 --> 00:15:57,920 Speaker 3: that outlet, I wonder if anybody's figuring it out over there, like, oh, well, yes, 314 00:15:58,160 --> 00:16:00,640 Speaker 3: you know, when you write something for gourmet magazine, you 315 00:16:00,680 --> 00:16:05,800 Speaker 3: don't want it retweeted by Jeffrey Dahmer. Okay, this is 316 00:16:05,800 --> 00:16:08,760 Speaker 3: not where you want to be in the ecosystem. It's like, 317 00:16:08,920 --> 00:16:12,560 Speaker 3: it's not the good housekeeping seal of approval of your journalism. 318 00:16:12,800 --> 00:16:18,400 Speaker 3: When it's become a part of Trump World's ongoing propaganda efforts. 319 00:16:18,680 --> 00:16:21,560 Speaker 3: It is remarkable to me. And again, that source that 320 00:16:21,600 --> 00:16:24,360 Speaker 3: got the story back to me said, yeah, you know 321 00:16:24,400 --> 00:16:27,400 Speaker 3: what it was Chris Losovita and Tony Fabrizio and Susie 322 00:16:27,600 --> 00:16:29,880 Speaker 3: who went out and they polled Project twenty twenty five. 323 00:16:30,240 --> 00:16:33,360 Speaker 3: And that's why Trump dropped it. And that's why Trump 324 00:16:33,640 --> 00:16:36,880 Speaker 3: made the Platform Committee take out the abortion ban and 325 00:16:36,960 --> 00:16:39,360 Speaker 3: the RNC Platform Committee. And by the way, fun fact, MO, 326 00:16:39,480 --> 00:16:41,880 Speaker 3: I don't know if you know this, but Russ Vaught. 327 00:16:41,760 --> 00:16:44,640 Speaker 1: Yes, Russ Vaught, I'm writing about him today. 328 00:16:44,880 --> 00:16:48,360 Speaker 3: Yeah, it's the craziest coincidence of all. But after he 329 00:16:48,360 --> 00:16:50,880 Speaker 3: finished writing Project twenty twenty five, he became the head 330 00:16:50,920 --> 00:16:53,680 Speaker 3: of the Republican Party's Platform Committee. 331 00:16:54,040 --> 00:16:58,680 Speaker 1: Sure, just what's a total coincidence? It's a complete coincidence, 332 00:16:58,680 --> 00:17:00,520 Speaker 1: all right, Rick Wilson, thank you. 333 00:17:01,320 --> 00:17:03,080 Speaker 3: Imagine meeting you here. Thank you. 334 00:17:03,160 --> 00:17:11,880 Speaker 1: Mollie Spring is here, and I bet you are trying 335 00:17:11,920 --> 00:17:15,200 Speaker 1: to look fashionable. So why not pick up some fashionable 336 00:17:15,359 --> 00:17:20,000 Speaker 1: all new Fast Politics merchandise. We just opened a news 337 00:17:20,000 --> 00:17:24,880 Speaker 1: store with all new designs just for you. Get t shirts, hoodies, hats, 338 00:17:25,240 --> 00:17:30,040 Speaker 1: and top bags. To grab some head to fastpolitics dot com. 339 00:17:30,760 --> 00:17:33,520 Speaker 2: Joe Connison is the editor of the National Memo and 340 00:17:33,600 --> 00:17:36,920 Speaker 2: author of the Longest con How Gripters, Swindlers and Frauds 341 00:17:37,040 --> 00:17:38,760 Speaker 2: hijacked American conservatism. 342 00:17:39,040 --> 00:17:42,080 Speaker 1: Welcome to Fast Politics, Joe. 343 00:17:42,160 --> 00:17:43,480 Speaker 5: It's great to be with you, Mollie. 344 00:17:43,760 --> 00:17:47,919 Speaker 1: The Longest Con is the story of how explain to 345 00:17:47,960 --> 00:17:49,800 Speaker 1: us what it is? Because I think I know, but 346 00:17:50,000 --> 00:17:51,719 Speaker 1: I want you to explain it to our listener. 347 00:17:52,040 --> 00:17:56,080 Speaker 6: So the Longest Con is an idea that actually my 348 00:17:56,200 --> 00:18:01,440 Speaker 6: wife Elizabeth had after reading an article by historian Rick Pearlstein. 349 00:18:01,520 --> 00:18:04,320 Speaker 1: I'm sure you know Rick, Yes, who's a guest of 350 00:18:04,359 --> 00:18:05,000 Speaker 1: the Pod. 351 00:18:05,000 --> 00:18:08,560 Speaker 6: Brilliant guy who wrote an article for a little magazine 352 00:18:08,560 --> 00:18:12,679 Speaker 6: called The Baffler in twenty twelve called The Long Con. 353 00:18:13,000 --> 00:18:16,040 Speaker 6: And on the surface, it was kind of an examination 354 00:18:16,080 --> 00:18:19,600 Speaker 6: of the Romney campaign, which was full of dishonest garbage. 355 00:18:19,640 --> 00:18:22,000 Speaker 6: I mean, He's Romney has changed his image quite a 356 00:18:22,040 --> 00:18:24,040 Speaker 6: bit since then, but back in that campaign it was 357 00:18:24,080 --> 00:18:28,200 Speaker 6: pretty bad. Anyway, Rick, in that article sort of digressed 358 00:18:28,200 --> 00:18:34,359 Speaker 6: into the huge panoply of scams and cons and just 359 00:18:34,680 --> 00:18:40,440 Speaker 6: phony campaigns that he fell into because he had subscribed 360 00:18:40,440 --> 00:18:43,640 Speaker 6: to a bunch of conservative publications and so these were 361 00:18:43,720 --> 00:18:47,960 Speaker 6: get rich quick schemes and miracle cures for cancer and 362 00:18:48,240 --> 00:18:52,199 Speaker 6: buy gold at an inflated price, all of these things. 363 00:18:52,480 --> 00:18:55,160 Speaker 1: So the things that Alex Jones sells. 364 00:18:55,119 --> 00:18:57,639 Speaker 6: Yes, right him of the big supplements, all of that 365 00:18:57,720 --> 00:19:01,000 Speaker 6: stuff that represents millions of dollars in profits to the right. 366 00:19:01,200 --> 00:19:02,800 Speaker 6: I looked at that and she said, you know what, 367 00:19:03,040 --> 00:19:04,880 Speaker 6: there's a lot more to this, and she was right. 368 00:19:05,240 --> 00:19:09,160 Speaker 6: So I spent a few years writing a book about 369 00:19:09,400 --> 00:19:12,040 Speaker 6: that con and I of course give tribute to Rick 370 00:19:12,119 --> 00:19:15,480 Speaker 6: in the introduction. But what Rick observed back then, which 371 00:19:15,600 --> 00:19:19,160 Speaker 6: I think is really true, is that it's no longer possible, 372 00:19:19,200 --> 00:19:22,280 Speaker 6: and it hasn't been for a long time, to separate 373 00:19:22,480 --> 00:19:26,399 Speaker 6: the con the grift, from the conservative message and the 374 00:19:26,400 --> 00:19:29,719 Speaker 6: conservative movement at this point. And this is the reason 375 00:19:29,760 --> 00:19:32,200 Speaker 6: that it appealed to me so much as a book project, 376 00:19:32,400 --> 00:19:35,080 Speaker 6: is that it really explains a lot about how we 377 00:19:35,320 --> 00:19:37,000 Speaker 6: have Trump at the head of all of it. 378 00:19:37,080 --> 00:19:37,280 Speaker 3: Now. 379 00:19:37,600 --> 00:19:42,159 Speaker 6: Trump is the grifter, our excellence. He's the king of 380 00:19:42,240 --> 00:19:45,879 Speaker 6: the convent. That is why he is so acceptable to 381 00:19:45,920 --> 00:19:48,159 Speaker 6: them leading a movement. You know, back when he first 382 00:19:48,280 --> 00:19:52,159 Speaker 6: ran for president in twenty fifteen, when he was running 383 00:19:52,400 --> 00:19:56,600 Speaker 6: National Review did a series of expose as about Trump University, 384 00:19:56,720 --> 00:19:59,480 Speaker 6: which is an enormous scam. He was forced to cough 385 00:19:59,560 --> 00:20:01,480 Speaker 6: up a lot of money to pay people back. 386 00:20:01,359 --> 00:20:03,040 Speaker 5: Because he had ripped them off so badly. 387 00:20:03,359 --> 00:20:06,239 Speaker 6: Now the National Review now thinks it's fine to have 388 00:20:06,320 --> 00:20:10,399 Speaker 6: this scrift as president. And why well, they feel they 389 00:20:10,440 --> 00:20:13,280 Speaker 6: have no choice whatever it is. But in fact their 390 00:20:13,400 --> 00:20:16,119 Speaker 6: whole movement is infected with us, and once in a 391 00:20:16,160 --> 00:20:19,600 Speaker 6: while you'll see them reflect on that in conservative magazines 392 00:20:19,720 --> 00:20:22,359 Speaker 6: or blog posts, substacks all of that. There are a 393 00:20:22,400 --> 00:20:25,200 Speaker 6: few of them, Eric Erickson, you know, I'm sure your 394 00:20:25,480 --> 00:20:29,080 Speaker 6: listeners have heard of Jim Garritty at National mL bemoan. 395 00:20:29,240 --> 00:20:33,560 Speaker 6: The fact that there are so many conservatives ripping off 396 00:20:33,560 --> 00:20:37,320 Speaker 6: other conservatives, usually old people who can be duped if 397 00:20:37,320 --> 00:20:41,280 Speaker 6: they're say things. I mean, the whole thing is so appalling. Anyway, 398 00:20:41,520 --> 00:20:44,080 Speaker 6: I decided to go back and try to figure out 399 00:20:44,119 --> 00:20:48,120 Speaker 6: how this all began, How the sort of moral fiber 400 00:20:48,160 --> 00:20:53,280 Speaker 6: of conservatism began to disappear, Because in olden times, molly 401 00:20:53,560 --> 00:20:57,680 Speaker 6: Conservatism was a movement of moral probity, you know, or 402 00:20:57,680 --> 00:20:59,600 Speaker 6: at least it was supposed to be. It was supposed 403 00:20:59,640 --> 00:21:02,760 Speaker 6: to believe and civic virtue and morality. And when you 404 00:21:02,800 --> 00:21:06,520 Speaker 6: look at the scams and cons that they're pulling now constantly, 405 00:21:06,560 --> 00:21:10,040 Speaker 6: you know that's all gone. So how did that happen? 406 00:21:10,359 --> 00:21:12,840 Speaker 6: Like when did that happen? When did that begin? And 407 00:21:12,920 --> 00:21:15,760 Speaker 6: how did it develop? And so I go through a 408 00:21:15,800 --> 00:21:17,840 Speaker 6: lot of that, and you know, as a kind of 409 00:21:18,280 --> 00:21:22,399 Speaker 6: conceit really I start the book with Roy Cohne, who was, 410 00:21:22,560 --> 00:21:27,240 Speaker 6: as you know, Trump's mentor and lawyer and role model. 411 00:21:27,400 --> 00:21:29,639 Speaker 6: And the first chapter is called the role Model and 412 00:21:29,680 --> 00:21:32,720 Speaker 6: it's about Roy Cohen, and it tells a lot about Roy, 413 00:21:32,960 --> 00:21:34,640 Speaker 6: who I knew personally a bit. 414 00:21:34,760 --> 00:21:36,639 Speaker 1: Oh you did, what did you think of Roy Cohen? 415 00:21:36,920 --> 00:21:38,360 Speaker 5: He was a very bad man. 416 00:21:39,480 --> 00:21:43,120 Speaker 1: No, I know what Roy Cohen? I mean, the Jongs 417 00:21:43,160 --> 00:21:46,000 Speaker 1: have hated Roy Cohen, and the fast have hated ronco 418 00:21:46,520 --> 00:21:50,720 Speaker 1: Generations like John pat Hornz. This is a generational Yes, 419 00:21:50,880 --> 00:21:54,040 Speaker 1: my family as well. But how did you know him? 420 00:21:54,640 --> 00:21:54,720 Speaker 3: So? 421 00:21:55,440 --> 00:21:57,720 Speaker 6: I was years ago a reporter at the Village Voice, 422 00:21:58,200 --> 00:22:01,600 Speaker 6: and at that time Roy was quite powerful in New 423 00:22:01,680 --> 00:22:05,760 Speaker 6: York politics. He controlled a wing of the Democratic Party, 424 00:22:05,800 --> 00:22:08,040 Speaker 6: a small wing, but a wing of the Democratic Party 425 00:22:08,400 --> 00:22:12,600 Speaker 6: in New York City, specifically Manhattan, and he used it 426 00:22:12,640 --> 00:22:17,640 Speaker 6: to gain influence from judges and from city hall and elsewhere. 427 00:22:17,680 --> 00:22:20,639 Speaker 6: His dad had been a judge in the Bronx and 428 00:22:20,680 --> 00:22:23,240 Speaker 6: a Democratic power broker back in the days of FDR 429 00:22:23,520 --> 00:22:26,560 Speaker 6: so Roy had sort of inherited some connections and power, 430 00:22:26,920 --> 00:22:30,720 Speaker 6: and he sort of leveraged both parties to his advantage 431 00:22:30,880 --> 00:22:34,560 Speaker 6: by then, and he found ways to suck money out 432 00:22:34,560 --> 00:22:37,520 Speaker 6: of the system that were just enormous scams. But I 433 00:22:37,640 --> 00:22:40,840 Speaker 6: dated even back to when he was working for Senator McCarthy, 434 00:22:41,040 --> 00:22:43,960 Speaker 6: and he and a man named David Shine, who he 435 00:22:44,240 --> 00:22:47,720 Speaker 6: put on the staff of McCarthy's Red Hunting Committee, took 436 00:22:47,720 --> 00:22:51,600 Speaker 6: a junket to Europe, supposedly to find subversive books in 437 00:22:52,240 --> 00:22:55,320 Speaker 6: United States Information Service libraries, but really it was just 438 00:22:55,400 --> 00:22:58,760 Speaker 6: a junket for these two young men to romp around 439 00:22:58,800 --> 00:23:02,720 Speaker 6: Europe together in fancy hotels. A grift, a scam, And 440 00:23:02,800 --> 00:23:04,840 Speaker 6: so I begin the book with that because I think 441 00:23:04,880 --> 00:23:07,240 Speaker 6: it's not just a funny story, but it tells something 442 00:23:07,280 --> 00:23:12,119 Speaker 6: about the beginnings of a decline in morality and probity 443 00:23:12,160 --> 00:23:13,680 Speaker 6: and integrity and the right. 444 00:23:14,000 --> 00:23:16,640 Speaker 1: I've read a bunch of books that have made different 445 00:23:16,720 --> 00:23:22,399 Speaker 1: cases about how the right God here and your thesis 446 00:23:22,520 --> 00:23:25,679 Speaker 1: is basically the right God here through scams. 447 00:23:25,920 --> 00:23:29,440 Speaker 6: Well, I mean it's not just scams, it's how can 448 00:23:29,480 --> 00:23:31,280 Speaker 6: you work a scam? And one of the ways that 449 00:23:31,320 --> 00:23:35,160 Speaker 6: they learned to work the scam was through exciting people's hatred. 450 00:23:35,280 --> 00:23:38,520 Speaker 6: So that probably fits into some of the other theories 451 00:23:38,560 --> 00:23:41,080 Speaker 6: about the development of the right that you've been reading 452 00:23:41,119 --> 00:23:44,359 Speaker 6: about that they discovered, as Roger Stone said, that hate 453 00:23:44,680 --> 00:23:47,680 Speaker 6: is as a more powerful motivator than love in politics. 454 00:23:47,720 --> 00:23:50,120 Speaker 6: That's what they really believe that, and there's some evidence 455 00:23:50,119 --> 00:23:53,080 Speaker 6: that it's true, at least for some people. And if 456 00:23:53,119 --> 00:23:56,720 Speaker 6: you can prey on people's hate and paranoia, you can 457 00:23:56,800 --> 00:23:59,919 Speaker 6: often dupe them into sending you money. And this is 458 00:24:00,200 --> 00:24:03,080 Speaker 6: what was discovered way back when by a man named 459 00:24:03,119 --> 00:24:06,680 Speaker 6: Richard Vigeri, who was the king of direct mail back 460 00:24:07,000 --> 00:24:09,960 Speaker 6: in the pre internet era. He was a young fundraiser 461 00:24:10,000 --> 00:24:13,840 Speaker 6: for right wing causes, and he realized that after the 462 00:24:13,880 --> 00:24:16,760 Speaker 6: Goldwater campaign, there was now a list. 463 00:24:17,080 --> 00:24:17,560 Speaker 3: There was a. 464 00:24:17,600 --> 00:24:20,399 Speaker 6: List of millions of people who had donated money to 465 00:24:20,440 --> 00:24:23,560 Speaker 6: the Goldwater campaign, and this list was in the hands 466 00:24:23,600 --> 00:24:25,760 Speaker 6: of the Clerk of the House, that's how things worked 467 00:24:25,760 --> 00:24:28,359 Speaker 6: in those days. This was in nineteen sixty four sixty five, 468 00:24:28,680 --> 00:24:31,920 Speaker 6: and he sent some women, of course, to go into 469 00:24:32,040 --> 00:24:34,679 Speaker 6: the capitol and copy down the names from that list, 470 00:24:34,880 --> 00:24:37,840 Speaker 6: and then they put them on magnetic tape and suddenly, bingo, 471 00:24:37,920 --> 00:24:41,080 Speaker 6: you had a list of people who were very right wing, 472 00:24:41,240 --> 00:24:45,000 Speaker 6: who believed all kinds of crazy stuff that you could 473 00:24:45,000 --> 00:24:48,040 Speaker 6: tell him, and who were I mean, Goldwater only won 474 00:24:48,080 --> 00:24:51,040 Speaker 6: the states of the Confederacy, right. A few states that 475 00:24:51,080 --> 00:24:54,440 Speaker 6: he where he prevailed were Confederate states. So there was 476 00:24:54,440 --> 00:24:57,720 Speaker 6: always a racial element to this. And by preying on 477 00:24:57,760 --> 00:25:02,400 Speaker 6: people's paranoia and their fear of communism, their fear of minorities, 478 00:25:02,600 --> 00:25:05,680 Speaker 6: their fear of all kinds of things, you could get 479 00:25:05,720 --> 00:25:07,760 Speaker 6: them to send money if you knew how to write 480 00:25:07,760 --> 00:25:11,240 Speaker 6: a direct mail piece that would excite their fears and 481 00:25:11,280 --> 00:25:14,639 Speaker 6: they're and their hatreds. Then the next level of the 482 00:25:14,720 --> 00:25:18,400 Speaker 6: scam is that you solicit money from people and then 483 00:25:18,440 --> 00:25:20,919 Speaker 6: you spend very little of the money on the cause 484 00:25:21,240 --> 00:25:24,280 Speaker 6: or campaign that you're telling them that they're collecting it for, 485 00:25:24,680 --> 00:25:27,800 Speaker 6: and most of it goes to in Vigori's case, you know, 486 00:25:28,000 --> 00:25:31,960 Speaker 6: prospecting for new suckers. In other cases it goes to 487 00:25:32,240 --> 00:25:35,199 Speaker 6: quote unquote overhead. But this is the this is the 488 00:25:35,359 --> 00:25:38,120 Speaker 6: root of the scam, and then it branches out into 489 00:25:38,240 --> 00:25:39,560 Speaker 6: many different forms. 490 00:25:39,800 --> 00:25:41,360 Speaker 1: So give us some of those forms. 491 00:25:41,800 --> 00:25:45,280 Speaker 6: Well, so some of the forms are Jerry Folwell was 492 00:25:45,280 --> 00:25:47,920 Speaker 6: a good example. This is how you know you saw 493 00:25:48,000 --> 00:25:51,119 Speaker 6: the beginning of the whole Fallwell Empire and Liberty University. 494 00:25:51,320 --> 00:25:54,679 Speaker 6: He got a hold of an email list of evangelical 495 00:25:54,720 --> 00:25:57,760 Speaker 6: ministers by telling the guy who had the list and 496 00:25:57,920 --> 00:26:01,040 Speaker 6: an old minister who didn't really believe that politics and 497 00:26:01,119 --> 00:26:03,719 Speaker 6: religion belong together, that he was going to use it 498 00:26:03,760 --> 00:26:07,480 Speaker 6: to create some sort of the Notre Dame of evangelical life, 499 00:26:07,520 --> 00:26:09,199 Speaker 6: and what he was really going to do with it 500 00:26:09,320 --> 00:26:12,400 Speaker 6: was start them moral majority and do an email prospect 501 00:26:12,400 --> 00:26:14,679 Speaker 6: because he believed this was a way to make a 502 00:26:14,680 --> 00:26:17,479 Speaker 6: lot of money. They've done this in many different ways. 503 00:26:17,640 --> 00:26:19,919 Speaker 6: There are all kinds of things that they sell to 504 00:26:19,960 --> 00:26:22,720 Speaker 6: people now, especially on the internet, but they know they 505 00:26:22,760 --> 00:26:26,520 Speaker 6: sell them over priced gold because they convince people that 506 00:26:26,560 --> 00:26:28,960 Speaker 6: we're about to go into a depression and it doesn't 507 00:26:29,000 --> 00:26:31,800 Speaker 6: matter what's really happening in the economy if you capture 508 00:26:31,840 --> 00:26:34,639 Speaker 6: people's attention. Hannity has done this a lot. I mean 509 00:26:34,760 --> 00:26:37,000 Speaker 6: a lot of Fox personalities have gotten involved in this. 510 00:26:37,400 --> 00:26:40,199 Speaker 6: Or you sell them penny stocks because you believe you 511 00:26:40,280 --> 00:26:43,360 Speaker 6: can make them believe that this is the next big thing, 512 00:26:43,520 --> 00:26:47,280 Speaker 6: and you believe them because you share their ideology, so 513 00:26:47,400 --> 00:26:49,240 Speaker 6: you tend to believe what they tell you. And they're 514 00:26:49,240 --> 00:26:52,320 Speaker 6: on TV or they're on the radio or both, and 515 00:26:52,800 --> 00:26:56,719 Speaker 6: you know you trust them because they're conservatives. Is a 516 00:26:56,760 --> 00:27:00,439 Speaker 6: merciless things and they've fleeced a lot of people money. Trump, 517 00:27:00,640 --> 00:27:04,080 Speaker 6: of course, is the is you know, the ultimate version 518 00:27:04,119 --> 00:27:06,120 Speaker 6: of this but far from the original. 519 00:27:06,359 --> 00:27:08,480 Speaker 1: Yes, but he's the culmination of it. 520 00:27:08,480 --> 00:27:08,800 Speaker 3: It is. 521 00:27:09,119 --> 00:27:12,359 Speaker 1: Can you explain to us, as someone who worked at 522 00:27:12,400 --> 00:27:15,920 Speaker 1: the Village Boys around the time Trump was learning all 523 00:27:15,960 --> 00:27:18,600 Speaker 1: these things from Roy Cohen, if you could sort of 524 00:27:18,640 --> 00:27:20,520 Speaker 1: sum up what you think. I mean, I hate to 525 00:27:20,560 --> 00:27:22,720 Speaker 1: even ask this question because I'm so bored with Trump, 526 00:27:22,720 --> 00:27:25,439 Speaker 1: but since he could theoretically be our next president, I 527 00:27:25,440 --> 00:27:28,240 Speaker 1: feel like we have to talk about him. I mean, 528 00:27:28,440 --> 00:27:31,640 Speaker 1: can you explain to us what you think this sort 529 00:27:31,640 --> 00:27:32,840 Speaker 1: of ethos is because you. 530 00:27:32,920 --> 00:27:36,680 Speaker 6: Knew him, then it's the anti ethos. I mean, Roy 531 00:27:37,160 --> 00:27:41,359 Speaker 6: was a person who not only found ways corrupt ways 532 00:27:41,400 --> 00:27:44,680 Speaker 6: to steal money from the city treasury, you know, even 533 00:27:44,680 --> 00:27:47,480 Speaker 6: been like really petty stuff like cash from the parking 534 00:27:47,560 --> 00:27:51,000 Speaker 6: violations bureau. That he had the sort of mafia types 535 00:27:51,000 --> 00:27:53,000 Speaker 6: funneling thim. You know, he was a mob lawyer too, 536 00:27:53,480 --> 00:27:56,719 Speaker 6: so the sort of aura of the mob around Trump 537 00:27:57,000 --> 00:28:00,959 Speaker 6: is not accidental. Roy was the lawyer for real mobsters, 538 00:28:01,040 --> 00:28:03,920 Speaker 6: and they used to use his office for meetings because 539 00:28:04,000 --> 00:28:06,359 Speaker 6: they thought they would not be surveilled by the FBI. 540 00:28:06,480 --> 00:28:06,720 Speaker 3: There. 541 00:28:06,960 --> 00:28:09,160 Speaker 6: This was the world that Trump, you know, was sort 542 00:28:09,200 --> 00:28:12,920 Speaker 6: of initiated into and felt, you know, was exciting for him. 543 00:28:13,000 --> 00:28:14,879 Speaker 6: And you know what he learned from Roy was you 544 00:28:14,920 --> 00:28:18,160 Speaker 6: don't pay taxes, You don't pay the people who work 545 00:28:18,240 --> 00:28:21,480 Speaker 6: for you unless you have to. You go into litigation 546 00:28:21,640 --> 00:28:23,880 Speaker 6: with the attitude that you can just draw it out 547 00:28:23,920 --> 00:28:26,679 Speaker 6: and torture people and make them leave you alone. And 548 00:28:26,680 --> 00:28:29,919 Speaker 6: it's all about exercising power. It has very little to 549 00:28:29,920 --> 00:28:33,960 Speaker 6: do with ideology. It's just it's hedonism and power and 550 00:28:34,560 --> 00:28:38,000 Speaker 6: accumulating money. And I think there's a part of it 551 00:28:38,040 --> 00:28:41,040 Speaker 6: where they also like being famous. I mean, Roy loved 552 00:28:41,040 --> 00:28:44,080 Speaker 6: to be in the tabloids, so did Trump. And Roy 553 00:28:44,200 --> 00:28:46,640 Speaker 6: put Trump in the tabloids and on the media. And 554 00:28:46,680 --> 00:28:49,080 Speaker 6: that's one of the reasons why, you know, he loved 555 00:28:49,240 --> 00:28:51,360 Speaker 6: Roy Cone up until the point where he didn't. When 556 00:28:51,440 --> 00:28:55,800 Speaker 6: Roy was dying of AIDS, Trump abandoned him sort of notoriously. 557 00:28:55,360 --> 00:28:57,800 Speaker 1: Because he was gay or because he needed him. 558 00:28:57,920 --> 00:29:00,520 Speaker 6: Because he didn't want to be associated with it. There 559 00:29:00,560 --> 00:29:02,680 Speaker 6: was a stigma attached, and he just was like, I 560 00:29:02,720 --> 00:29:04,680 Speaker 6: don't need this. And also at the time Roy was 561 00:29:04,760 --> 00:29:07,960 Speaker 6: under was about to have his law license taken away. 562 00:29:08,160 --> 00:29:11,080 Speaker 1: But Roy was like often about to have his long 563 00:29:11,160 --> 00:29:12,640 Speaker 1: life it's taken away. 564 00:29:13,000 --> 00:29:15,760 Speaker 6: It finally happened. I mean, it happened just before he died. 565 00:29:15,800 --> 00:29:16,240 Speaker 5: In fact. 566 00:29:17,160 --> 00:29:20,800 Speaker 1: Yeah, but he was able to punt it many times. 567 00:29:20,640 --> 00:29:22,800 Speaker 6: He did because you see, Molly, this is the reason 568 00:29:22,880 --> 00:29:25,480 Speaker 6: I talk about Roy in this first chapter, aside from 569 00:29:25,480 --> 00:29:29,840 Speaker 6: the connection with Trump, is that Roy was tolerated and 570 00:29:29,920 --> 00:29:33,200 Speaker 6: celebrated by the right, even though they all knew what 571 00:29:33,240 --> 00:29:36,880 Speaker 6: a dirty scumbag he was. Okay, they didn't care, but 572 00:29:37,000 --> 00:29:41,560 Speaker 6: people like Bill Buckley and Bill Sapphire and Abe Rosenthal 573 00:29:41,600 --> 00:29:45,520 Speaker 6: at the times, and lots and lots of respectable people 574 00:29:45,880 --> 00:29:48,840 Speaker 6: celebrated Rey publicly. They had big events where they would 575 00:29:48,920 --> 00:29:51,760 Speaker 6: toast him and you know, celebrate him and be happy 576 00:29:51,800 --> 00:29:54,040 Speaker 6: that he had gotten away with everything he'd gotten away 577 00:29:54,080 --> 00:29:57,160 Speaker 6: with and expressed that their friendship and. 578 00:29:57,160 --> 00:29:58,080 Speaker 5: Approval of him. 579 00:29:58,440 --> 00:30:02,000 Speaker 6: And on some level, what that means is it's okay 580 00:30:02,040 --> 00:30:04,520 Speaker 6: to be like him, It's okay to do the things 581 00:30:04,520 --> 00:30:09,120 Speaker 6: he does because there's no social sanction attached to it, right, 582 00:30:09,360 --> 00:30:13,160 Speaker 6: it doesn't matter. You can swindle your clients, you can steal, 583 00:30:13,360 --> 00:30:16,520 Speaker 6: you can lie the way he did so much when 584 00:30:16,560 --> 00:30:19,320 Speaker 6: he was working for McCarthy. It just doesn't matter. Because 585 00:30:19,680 --> 00:30:21,880 Speaker 6: he's powerful, he has connections in the media. 586 00:30:22,160 --> 00:30:23,040 Speaker 5: You know, he was very. 587 00:30:22,880 --> 00:30:25,680 Speaker 6: Close to sign new House was my boss when I 588 00:30:25,680 --> 00:30:29,800 Speaker 6: worked at Conde Nast, super powerful, you know, publishing mogul, 589 00:30:29,920 --> 00:30:32,880 Speaker 6: and he had many powerful friends like that, and they 590 00:30:33,480 --> 00:30:38,240 Speaker 6: approved of, you know, his absolutely shocking lack of morality 591 00:30:38,280 --> 00:30:41,480 Speaker 6: and integrity. And I think Trump looked at that and said, gee, 592 00:30:41,480 --> 00:30:43,280 Speaker 6: I could be like that. I'm not going to be 593 00:30:43,320 --> 00:30:44,560 Speaker 6: punished for anything. 594 00:30:44,920 --> 00:30:49,680 Speaker 1: So you think New York in the eighties made Trump worse? 595 00:30:50,200 --> 00:30:52,880 Speaker 6: Oh, undoubtedly. I mean I think the connection with Roy 596 00:30:52,920 --> 00:30:55,160 Speaker 6: Cone made Trump war was I would say, you know, 597 00:30:55,200 --> 00:30:57,840 Speaker 6: I think Trump's dad. If you talk to Mary Trumps, 598 00:30:57,920 --> 00:31:01,080 Speaker 6: I'm sure you have, you would know that Fred Trump 599 00:31:01,480 --> 00:31:04,880 Speaker 6: was not exactly you know, a paragon of integrity either 600 00:31:06,000 --> 00:31:06,720 Speaker 6: or decency. 601 00:31:06,840 --> 00:31:07,080 Speaker 1: Yeah. 602 00:31:07,200 --> 00:31:09,920 Speaker 6: So you know, there's a lot that happened to Trump's 603 00:31:10,000 --> 00:31:14,680 Speaker 6: character before he met Roy, but I think Roy took 604 00:31:14,760 --> 00:31:17,600 Speaker 6: him in an even darker direction. It's not an original 605 00:31:17,640 --> 00:31:20,240 Speaker 6: observation by me. I just happened to know them because 606 00:31:20,280 --> 00:31:22,120 Speaker 6: I was covering them, you know, in the eighties, I 607 00:31:22,160 --> 00:31:25,000 Speaker 6: was writing about them. My partner at the Village Voice, 608 00:31:25,040 --> 00:31:29,160 Speaker 6: my writing partner, Wayne Barrett, is the og of Trump Lore. 609 00:31:29,400 --> 00:31:30,920 Speaker 1: So right, right, right right. 610 00:31:31,200 --> 00:31:33,840 Speaker 6: I was around when all that was happening, and I 611 00:31:33,920 --> 00:31:36,280 Speaker 6: saw it up close. I've known Trump a long time. 612 00:31:36,400 --> 00:31:38,640 Speaker 1: What do you think the way to defeat Trump is? 613 00:31:38,880 --> 00:31:42,800 Speaker 6: I tend to agree with our mutual friend George Conway, who. 614 00:31:42,600 --> 00:31:44,800 Speaker 1: Wrote the introduction to this book, who. 615 00:31:44,680 --> 00:31:47,960 Speaker 6: Wrote the forward to my book. Yes, and it's very good. 616 00:31:48,120 --> 00:31:50,160 Speaker 6: I'm happy to say he loves the book. Even though 617 00:31:50,280 --> 00:31:53,680 Speaker 6: we were once swords drawn enemies back in the day. 618 00:31:54,000 --> 00:31:55,360 Speaker 6: Now we're friends, which is great. 619 00:31:55,560 --> 00:31:58,080 Speaker 1: I mean, I love George and we're friends and we 620 00:31:58,120 --> 00:32:00,320 Speaker 1: talk all the time. But the road to how he 621 00:32:00,360 --> 00:32:03,120 Speaker 1: got here as lined with a lot of the people 622 00:32:03,160 --> 00:32:07,920 Speaker 1: who are now the great friends of democracy, contractually obligated 623 00:32:08,080 --> 00:32:10,800 Speaker 1: by being Howard fast granddaughter to say things like that. 624 00:32:10,880 --> 00:32:11,920 Speaker 1: But yes, continue on. 625 00:32:12,200 --> 00:32:14,400 Speaker 5: Yes, well, I understand that. I get that. 626 00:32:14,640 --> 00:32:16,560 Speaker 6: When I was at The New York Observer, I was 627 00:32:16,560 --> 00:32:19,160 Speaker 6: then executive editor, I also wrote a column every week, 628 00:32:19,320 --> 00:32:22,040 Speaker 6: and so I did reporting, and I was reporting on 629 00:32:22,440 --> 00:32:25,200 Speaker 6: Clinton and the Paula Jones case and all of that, 630 00:32:25,320 --> 00:32:28,000 Speaker 6: And one of the things that I discovered was that 631 00:32:28,040 --> 00:32:31,040 Speaker 6: there was a bunch of lawyers, right wing lawyers, who 632 00:32:31,040 --> 00:32:34,920 Speaker 6: were secretly advising Paula Jones in her lawsuit against Clinton 633 00:32:34,960 --> 00:32:37,240 Speaker 6: and trying to make sure that the lawsuit didn't get 634 00:32:37,320 --> 00:32:40,400 Speaker 6: settled for political reasons. So one of them was Anne Caulter, 635 00:32:40,760 --> 00:32:43,520 Speaker 6: another was a guy named Paul Rosenswick who's gotten. 636 00:32:43,320 --> 00:32:44,240 Speaker 5: To be better known lately. 637 00:32:44,280 --> 00:32:46,840 Speaker 6: And one of them at the leadership of that group 638 00:32:47,080 --> 00:32:49,800 Speaker 6: was George Conway. The third who was then a partner 639 00:32:49,800 --> 00:32:53,320 Speaker 6: at Waktel Lipton, a big democratic law firm in New York. 640 00:32:53,240 --> 00:32:55,120 Speaker 1: Making millions of dollars. 641 00:32:55,200 --> 00:32:59,040 Speaker 6: Yes, yes, as a tobacco lawyer, which isn't the rightest episode. 642 00:32:59,320 --> 00:33:03,719 Speaker 1: Yes, some of that money he did donate to Joe Biden, 643 00:33:03,920 --> 00:33:06,080 Speaker 1: so credit where credit is due. 644 00:33:06,160 --> 00:33:08,840 Speaker 6: He did actually a lot. He's a different guy now 645 00:33:08,880 --> 00:33:11,880 Speaker 6: in my opinion. But anyway, I exposed what they were 646 00:33:11,880 --> 00:33:15,040 Speaker 6: doing in The Observer, which led to further exposure in 647 00:33:15,080 --> 00:33:17,160 Speaker 6: the New York Times and got George in a fair 648 00:33:17,160 --> 00:33:19,560 Speaker 6: amount of trouble. And I was trying to track him down, 649 00:33:19,920 --> 00:33:21,560 Speaker 6: and I put him on the front page of the 650 00:33:21,600 --> 00:33:24,280 Speaker 6: Observer and his law partners at Walktel did not like 651 00:33:24,440 --> 00:33:25,000 Speaker 6: this at all. 652 00:33:25,280 --> 00:33:27,400 Speaker 1: No, now, a lot of liberals at walked out. 653 00:33:27,720 --> 00:33:30,240 Speaker 6: Yeah, he wouldn't really talk to me. I mean he 654 00:33:30,360 --> 00:33:32,560 Speaker 6: called me once back when I was trying to track 655 00:33:32,640 --> 00:33:36,360 Speaker 6: him down. But anyway, so flash forward many years and 656 00:33:36,800 --> 00:33:39,040 Speaker 6: he and I are sort of following each other on Twitter. 657 00:33:39,120 --> 00:33:41,320 Speaker 6: I don't know exactly why, except I thought he was 658 00:33:41,360 --> 00:33:43,200 Speaker 6: really funny and I liked what he was saying. I 659 00:33:43,200 --> 00:33:45,640 Speaker 6: don't know why he followed me. And it comes time 660 00:33:45,840 --> 00:33:47,880 Speaker 6: my book is finished, you know, the draft is done, 661 00:33:48,160 --> 00:33:51,360 Speaker 6: and again my wife says to me, you should ask 662 00:33:51,520 --> 00:33:55,040 Speaker 6: Conway to write the forward. And I said, Conway, Conway 663 00:33:55,080 --> 00:33:58,080 Speaker 6: hates me. Anyway, I got in touch with him and 664 00:33:58,480 --> 00:34:00,200 Speaker 6: he came in and we had a drink and we 665 00:34:00,240 --> 00:34:04,560 Speaker 6: got along very well, talked about old times, and I said, George, 666 00:34:04,680 --> 00:34:07,760 Speaker 6: I need your advice. I need a never Trump Republican 667 00:34:07,800 --> 00:34:09,760 Speaker 6: to write the forward to this book, which is about 668 00:34:09,880 --> 00:34:11,920 Speaker 6: the right. And he looked at me, he's right in 669 00:34:11,960 --> 00:34:13,680 Speaker 6: the eye, and he said, do you want me to 670 00:34:13,719 --> 00:34:14,000 Speaker 6: do it? 671 00:34:15,080 --> 00:34:18,720 Speaker 1: I was like, well, yes, Joe, thank you so much 672 00:34:18,760 --> 00:34:20,320 Speaker 1: for joining us. This is great. 673 00:34:20,680 --> 00:34:22,640 Speaker 5: Oh it's really a pleasure. Molly. 674 00:34:22,960 --> 00:34:26,040 Speaker 6: I admire you greatly and really appreciate you. 675 00:34:26,320 --> 00:34:27,160 Speaker 5: Thank you so much. 676 00:34:28,920 --> 00:34:32,480 Speaker 2: Christina Sinson Ramirez is the president of next Gen America. 677 00:34:33,800 --> 00:34:40,120 Speaker 1: Welcome to Fast Politics, Christina, I so tell us what 678 00:34:40,160 --> 00:34:42,480 Speaker 1: do you think the Biden campaign should be doing. 679 00:34:42,840 --> 00:34:45,279 Speaker 7: This is the first election cycle in our ten year 680 00:34:45,320 --> 00:34:47,480 Speaker 7: track record of reaching out and connecting with millions of 681 00:34:47,560 --> 00:34:50,759 Speaker 7: young voters that we fully see from the presidency down 682 00:34:51,120 --> 00:34:53,600 Speaker 7: and understanding of just how important young voters are. And 683 00:34:53,640 --> 00:34:56,520 Speaker 7: there is a lot that the Biden administration has done 684 00:34:56,800 --> 00:34:59,960 Speaker 7: that they have delivered for young voters, but there's a disconnect. 685 00:35:00,120 --> 00:35:02,000 Speaker 1: A lot of young ters don't know a lot of that. 686 00:35:02,239 --> 00:35:05,440 Speaker 7: So this is the administration that's actually gotten the most 687 00:35:05,480 --> 00:35:09,960 Speaker 7: progressive policy accomplished and move forward in my lifetime, including 688 00:35:10,000 --> 00:35:13,080 Speaker 7: the Inflation Reduction Act, the single largest investment by any 689 00:35:13,080 --> 00:35:15,800 Speaker 7: country on the planet to tackle the climate crisis, historic 690 00:35:15,840 --> 00:35:21,040 Speaker 7: gun safety legislation, massive student debt cancelation. These gains were 691 00:35:21,040 --> 00:35:23,960 Speaker 7: all fought in one by young people also turning out 692 00:35:23,960 --> 00:35:25,960 Speaker 7: in record numbers, and so I think the administration needs 693 00:35:25,960 --> 00:35:28,800 Speaker 7: to be telling that story. And then we're also seeing 694 00:35:28,800 --> 00:35:33,239 Speaker 7: a lot of young people not actually know foolly who 695 00:35:33,280 --> 00:35:35,799 Speaker 7: Donald Trump is because some of them were just ten 696 00:35:35,880 --> 00:35:38,279 Speaker 7: years old, right, rates or just to give people a 697 00:35:38,280 --> 00:35:42,040 Speaker 7: frame of reference. You know, if you are eighteen years 698 00:35:42,080 --> 00:35:45,480 Speaker 7: old now or will be eighteen in November, you were 699 00:35:45,640 --> 00:35:48,759 Speaker 7: ten years old when Donald Trump was first elected, and 700 00:35:48,840 --> 00:35:51,520 Speaker 7: so if you had good parents, they probably shielded you 701 00:35:51,960 --> 00:35:55,120 Speaker 7: from the sounds of crying babies being ripped from their mothers, 702 00:35:55,480 --> 00:35:58,000 Speaker 7: from the site of heather Hire being run over by 703 00:35:58,000 --> 00:36:01,359 Speaker 7: white supremacists, and then are present and calling them very 704 00:36:01,400 --> 00:36:04,040 Speaker 7: fine people on both sides, and then lastly saying that 705 00:36:04,080 --> 00:36:05,520 Speaker 7: he liked to grab women by the pussy. 706 00:36:05,640 --> 00:36:06,920 Speaker 1: Those are all things you may not know. 707 00:36:07,040 --> 00:36:09,000 Speaker 7: And so there's a lot of education I think that 708 00:36:09,040 --> 00:36:12,120 Speaker 7: the Biden administration and allies need to be doing to 709 00:36:12,239 --> 00:36:16,319 Speaker 7: educate young people about that track record. They many don't 710 00:36:16,360 --> 00:36:16,760 Speaker 7: know about. 711 00:36:16,920 --> 00:36:19,239 Speaker 1: So what does that look like? I mean, how do 712 00:36:19,280 --> 00:36:20,799 Speaker 1: you reach young voters? 713 00:36:21,040 --> 00:36:22,640 Speaker 7: So for us at next time, this is you know, 714 00:36:22,840 --> 00:36:25,960 Speaker 7: young voters gen Z plus millennials. Right, we go up 715 00:36:25,960 --> 00:36:28,120 Speaker 7: to eighteen to thirty five, some people just eighteen to 716 00:36:28,160 --> 00:36:31,480 Speaker 7: twenty nine. This is the largest generational voting block, and 717 00:36:31,520 --> 00:36:34,600 Speaker 7: so most of them get their news from social media. 718 00:36:34,800 --> 00:36:38,000 Speaker 7: It's really for us, we're going to We're already on 719 00:36:38,239 --> 00:36:41,839 Speaker 7: campuses across eight states, key battleground states, but we're going 720 00:36:41,880 --> 00:36:44,280 Speaker 7: to be on one hundred and twelve college and community 721 00:36:44,280 --> 00:36:47,560 Speaker 7: college campuses. We're already having conversations with young people in person, 722 00:36:48,000 --> 00:36:51,879 Speaker 7: and then we're working with hundreds of influencers to reach 723 00:36:51,920 --> 00:36:55,239 Speaker 7: and engage young people as authentic messengers because it's not 724 00:36:55,560 --> 00:36:58,400 Speaker 7: all up to the candidate or the campaign. And a 725 00:36:58,400 --> 00:37:01,040 Speaker 7: lot of young people, even though they overwhelmingly vote for 726 00:37:01,080 --> 00:37:05,000 Speaker 7: Democrats and progressives, also see themselves as independents and so 727 00:37:05,120 --> 00:37:08,279 Speaker 7: for them, what can be often more moving is a 728 00:37:08,360 --> 00:37:11,560 Speaker 7: message form one of their peers. So those college campuses 729 00:37:11,560 --> 00:37:14,359 Speaker 7: that we're on, we're also working with first time ever 730 00:37:14,960 --> 00:37:17,720 Speaker 7: college athletes that can now use their likeness and image 731 00:37:17,760 --> 00:37:21,399 Speaker 7: from the school's soccer star or football quarterback. 732 00:37:21,040 --> 00:37:21,520 Speaker 1: You name it. 733 00:37:21,560 --> 00:37:24,120 Speaker 7: We're trying to engage those folks to also reach people 734 00:37:24,120 --> 00:37:25,120 Speaker 7: on their platforms. 735 00:37:25,560 --> 00:37:28,960 Speaker 1: Yeah, that is a big question. Like we've seen some 736 00:37:29,160 --> 00:37:33,120 Speaker 1: reporting where there's been you know, Biden is not in 737 00:37:33,160 --> 00:37:36,319 Speaker 1: good shape with the young people, and they're mad at 738 00:37:36,400 --> 00:37:41,000 Speaker 1: him about not canceling student debt the way they wanted 739 00:37:41,200 --> 00:37:46,400 Speaker 1: it canceled, or they're mad at him because of Gaza, 740 00:37:46,960 --> 00:37:50,400 Speaker 1: or they're mad at him because of COVID. Do you 741 00:37:50,600 --> 00:37:53,399 Speaker 1: actually think that's true or do you think it's more 742 00:37:53,400 --> 00:37:54,480 Speaker 1: complicated than that. 743 00:37:55,000 --> 00:37:57,040 Speaker 7: I think it's a little more complicated than that. I 744 00:37:57,080 --> 00:38:00,520 Speaker 7: think overwhelmingly, if you look at twenty two and where 745 00:38:00,520 --> 00:38:03,600 Speaker 7: we were around this time, Biden was also underwater with 746 00:38:03,680 --> 00:38:06,960 Speaker 7: young voters. He was not young voters candidate of choice. 747 00:38:07,400 --> 00:38:09,279 Speaker 7: I like to say it was the other older white guy, 748 00:38:09,360 --> 00:38:10,720 Speaker 7: Bernie Sanders. 749 00:38:10,440 --> 00:38:13,680 Speaker 1: One of my favorite old white guys. Yes, and he 750 00:38:13,800 --> 00:38:15,880 Speaker 1: came on this podcast, and I think it was the 751 00:38:15,920 --> 00:38:18,839 Speaker 1: happiest he's ever been in an interview. Well that must 752 00:38:18,840 --> 00:38:21,040 Speaker 1: be you, Molly, that said him at ease. No, it's 753 00:38:21,160 --> 00:38:24,680 Speaker 1: because my grandfather was a famous communist who he like 754 00:38:24,880 --> 00:38:27,320 Speaker 1: loved anyway, Sorry, go on, Yes. 755 00:38:27,120 --> 00:38:30,600 Speaker 7: But he was very popular with young people, right. Bernie 756 00:38:30,680 --> 00:38:34,040 Speaker 7: Sanders and the Biden administration understood that they were going 757 00:38:34,080 --> 00:38:36,600 Speaker 7: to have to appease young voters, and they did right. 758 00:38:36,680 --> 00:38:39,279 Speaker 7: They promised to take action on climate change, on student debt, 759 00:38:39,440 --> 00:38:41,879 Speaker 7: on big issues that young people cared about. And we've 760 00:38:41,880 --> 00:38:44,440 Speaker 7: seen his numbers rise with young people. But we're at 761 00:38:44,440 --> 00:38:46,920 Speaker 7: a place again where young people are not super excited 762 00:38:46,920 --> 00:38:49,720 Speaker 7: about their choices. However, I think as we get closer 763 00:38:49,719 --> 00:38:51,880 Speaker 7: to the election, and we spend the time and money 764 00:38:52,080 --> 00:38:56,840 Speaker 7: educating and reaching young people about what's at stake this election. Overwhelmingly, 765 00:38:56,840 --> 00:39:00,680 Speaker 7: I think poles are indicators of people's sentiments. Don't necessarily 766 00:39:00,719 --> 00:39:04,160 Speaker 7: think especially holes with young voters have aligned the last 767 00:39:04,480 --> 00:39:08,239 Speaker 7: few elections on where their behavior is. So at next Gen, 768 00:39:08,320 --> 00:39:11,160 Speaker 7: we understand polling as the way we do it and 769 00:39:11,200 --> 00:39:12,720 Speaker 7: the way we look at it in our own polling 770 00:39:12,800 --> 00:39:15,600 Speaker 7: is where are there opportunities and challenges that we have 771 00:39:15,680 --> 00:39:18,120 Speaker 7: to address versus what does this say about what's going 772 00:39:18,160 --> 00:39:20,680 Speaker 7: to happen on election day? Because you read the headlines 773 00:39:20,719 --> 00:39:23,640 Speaker 7: from the New York Times, Washington Post, you name it. 774 00:39:23,719 --> 00:39:27,040 Speaker 7: Over the last few election cycles, each election cycle twenty eighteen, 775 00:39:27,080 --> 00:39:29,400 Speaker 7: twenty twenty, twenty twenty two, it's all doom and gloom 776 00:39:29,560 --> 00:39:32,319 Speaker 7: about how young voters aren't excited about the candidates that 777 00:39:32,360 --> 00:39:35,560 Speaker 7: they're likely to not turn out election happens. We've had 778 00:39:35,560 --> 00:39:38,640 Speaker 7: the three highest youth voter turnouts the last three election cycles, 779 00:39:38,800 --> 00:39:41,200 Speaker 7: and overwhelmingly for Democrats. 780 00:39:41,640 --> 00:39:46,680 Speaker 1: No, I mean for sure, and obviously despite his being 781 00:39:46,920 --> 00:39:52,040 Speaker 1: perhaps I'm sexy, Joe Biden has really delivered a lot 782 00:39:52,400 --> 00:39:55,160 Speaker 1: of wins for progressives exactly. 783 00:39:55,440 --> 00:39:58,560 Speaker 7: I think sometimes in progressive spaces, which is usually when 784 00:39:58,640 --> 00:40:01,359 Speaker 7: most young people, lies follows as far as the policies 785 00:40:01,520 --> 00:40:03,520 Speaker 7: that they care about in the world that they want 786 00:40:03,560 --> 00:40:06,080 Speaker 7: to see created in the government they want to see, 787 00:40:06,440 --> 00:40:09,200 Speaker 7: we sometimes don't always recognize when we're actually winning. And 788 00:40:09,320 --> 00:40:10,960 Speaker 7: I think, Molly, you and I are old enough to 789 00:40:11,080 --> 00:40:13,600 Speaker 7: remember the Democratic Party of the nineties that was on 790 00:40:13,640 --> 00:40:14,520 Speaker 7: the wrong side. 791 00:40:14,560 --> 00:40:18,759 Speaker 1: I would say, of gay rights, many many progressives issues. 792 00:40:18,480 --> 00:40:22,839 Speaker 7: Yes, go on, gay rights, tax reform, criminal justice. They 793 00:40:22,840 --> 00:40:25,000 Speaker 7: were all on the wrong side of those issues. And 794 00:40:25,040 --> 00:40:28,880 Speaker 7: now fast forward, we have from Biden all the way 795 00:40:29,040 --> 00:40:31,640 Speaker 7: up and down right people saying that we needed to 796 00:40:31,680 --> 00:40:34,520 Speaker 7: tax the rich their fair share, that billionaires shouldn't pay 797 00:40:34,600 --> 00:40:39,360 Speaker 7: less percentage of taxes than hardworking, working class Americans. That 798 00:40:39,680 --> 00:40:43,880 Speaker 7: we have fully come to a place on many issues 799 00:40:43,920 --> 00:40:46,359 Speaker 7: where the Democratic Party of the nineties is no longer 800 00:40:46,360 --> 00:40:47,839 Speaker 7: the party of today. And so I think we need 801 00:40:47,880 --> 00:40:50,520 Speaker 7: to recognize, like, if you like that we've gotten student 802 00:40:50,520 --> 00:40:53,440 Speaker 7: debt cancelation, if you like that we got climate legislation, 803 00:40:53,520 --> 00:40:56,200 Speaker 7: but you were upset about not getting everything else you 804 00:40:56,239 --> 00:40:58,719 Speaker 7: want at home, means be upset, but make a political 805 00:40:58,719 --> 00:41:01,680 Speaker 7: calculation and choice about which elected official, you are more 806 00:41:01,760 --> 00:41:04,560 Speaker 7: likely to move. Keep organizing. Voting isn't the only way 807 00:41:04,560 --> 00:41:07,080 Speaker 7: we make change. It's the most basic thing we must do. 808 00:41:07,120 --> 00:41:08,520 Speaker 7: It's not the only thing we should do. 809 00:41:08,960 --> 00:41:11,799 Speaker 1: The thing I've been struck by with Biden world is 810 00:41:11,840 --> 00:41:16,560 Speaker 1: that the admin they have really been responsive to a 811 00:41:16,640 --> 00:41:20,560 Speaker 1: lot of wish list items for Democrats. 812 00:41:20,239 --> 00:41:22,080 Speaker 7: One hundred percent. I think about where we are on 813 00:41:22,160 --> 00:41:25,000 Speaker 7: student debt cancelation. You know, he had promised that he 814 00:41:25,040 --> 00:41:27,000 Speaker 7: was going to come in and do some student debt cancelation. 815 00:41:27,280 --> 00:41:30,600 Speaker 7: He tried to do ten thousand up to twenty thousand dollars, 816 00:41:30,680 --> 00:41:33,680 Speaker 7: depending on what kind of loan and income bracket people 817 00:41:33,680 --> 00:41:35,799 Speaker 7: were in. And then we've of course had the right 818 00:41:35,800 --> 00:41:38,120 Speaker 7: wing try and stop that with the right wing Supreme Court, 819 00:41:38,120 --> 00:41:40,640 Speaker 7: and they were successful. But the Biden administration didn't give up. 820 00:41:40,719 --> 00:41:43,600 Speaker 7: They kept figuring out ways to cancel student debt. They've 821 00:41:43,600 --> 00:41:46,480 Speaker 7: now canceled billions of dollars in student debt for nearly 822 00:41:46,480 --> 00:41:49,080 Speaker 7: five million Americans. I think of my good friend Brandon, 823 00:41:49,160 --> 00:41:53,080 Speaker 7: who did public interest law for the last ten years, 824 00:41:53,200 --> 00:41:55,920 Speaker 7: and he woke up and saw that his nearly two 825 00:41:56,040 --> 00:41:58,680 Speaker 7: hundred thousand dollars in student debt had been canceled by 826 00:41:58,680 --> 00:42:02,319 Speaker 7: the Biden administration is life changing. And if we look 827 00:42:02,320 --> 00:42:04,520 Speaker 7: at folks I know that have gotten solar panels or 828 00:42:04,560 --> 00:42:07,320 Speaker 7: electric cars that they were able to afford, middle class 829 00:42:07,320 --> 00:42:09,840 Speaker 7: folks that thought they could never afford that because of 830 00:42:09,880 --> 00:42:12,799 Speaker 7: the Inflation Reduction Act. Those are all things that were 831 00:42:12,840 --> 00:42:16,680 Speaker 7: one because the Biden administration was listening to and responding 832 00:42:16,800 --> 00:42:19,040 Speaker 7: to the demands and desires of young people. 833 00:42:19,400 --> 00:42:22,279 Speaker 1: Yeah, when you talk to young people and you sort 834 00:42:22,320 --> 00:42:24,720 Speaker 1: of explain to them some of the stuff that maybe 835 00:42:24,760 --> 00:42:28,359 Speaker 1: they missed, do they want to buy what you're selling? Yeah? 836 00:42:28,360 --> 00:42:31,960 Speaker 7: I think young people are you know, they're savvy consumers 837 00:42:32,000 --> 00:42:34,600 Speaker 7: on what they consume generally and then what they get behind. 838 00:42:34,680 --> 00:42:37,280 Speaker 7: And I think politics is no different for young people. 839 00:42:37,320 --> 00:42:40,359 Speaker 7: But I think young people what we've seen the last 840 00:42:40,360 --> 00:42:42,520 Speaker 7: few elections, on what we saw in twenty twenty is 841 00:42:42,560 --> 00:42:45,160 Speaker 7: young people a lot of them said, I'm voting for Biden. 842 00:42:45,200 --> 00:42:47,319 Speaker 7: He wasn't necessarily my choice in the field of twenty 843 00:42:47,640 --> 00:42:51,319 Speaker 7: close candidates. But I agree with him more on where 844 00:42:51,360 --> 00:42:53,759 Speaker 7: he stands on women's rights and abortion. I agree with 845 00:42:53,840 --> 00:42:56,960 Speaker 7: him more about where he stands on the climate crisis. 846 00:42:57,000 --> 00:42:59,480 Speaker 7: I agree with him more about how he wants to 847 00:42:59,480 --> 00:43:03,279 Speaker 7: hold gun companies accountable for our gun violence epidemic, and 848 00:43:03,320 --> 00:43:06,160 Speaker 7: you can do that on many many issues. It's hard 849 00:43:06,239 --> 00:43:08,600 Speaker 7: when you look at what young people care about. There 850 00:43:08,680 --> 00:43:12,320 Speaker 7: is see much of any alignment whatsoever with Donald Trump 851 00:43:12,320 --> 00:43:14,480 Speaker 7: and the Republican Party for the majority of young people. 852 00:43:14,520 --> 00:43:16,640 Speaker 7: And I think young people, as we get closer to 853 00:43:16,680 --> 00:43:18,920 Speaker 7: the election and continue making that argument and trying to 854 00:43:18,920 --> 00:43:22,520 Speaker 7: reach them by the millions, they are savvy and will 855 00:43:22,600 --> 00:43:25,160 Speaker 7: make the right political calculation. But we also need to 856 00:43:25,280 --> 00:43:28,440 Speaker 7: understand that demographics are not destiny. I think Democrats make 857 00:43:28,480 --> 00:43:30,840 Speaker 7: that mistake a lot. They are simply a core ingredient 858 00:43:30,880 --> 00:43:33,520 Speaker 7: in the recipe for change. But we've got to organize, 859 00:43:33,600 --> 00:43:36,480 Speaker 7: reach out to and speak to that generation's pain and 860 00:43:36,600 --> 00:43:37,520 Speaker 7: power that they have. 861 00:43:38,040 --> 00:43:41,280 Speaker 1: If you're looking at young voters as a voting base, 862 00:43:41,920 --> 00:43:46,840 Speaker 1: what states are you the most optimistic about? You know, 863 00:43:47,040 --> 00:43:49,440 Speaker 1: young people have turned out in record numbers. 864 00:43:49,920 --> 00:43:53,120 Speaker 7: Young people are always generally have been the least likely 865 00:43:53,160 --> 00:43:55,279 Speaker 7: to be invested in are the most likely to show 866 00:43:55,360 --> 00:43:58,840 Speaker 7: up just on election day, and so we run blind. 867 00:43:58,920 --> 00:44:01,279 Speaker 7: Oftentimes we try and as many people as we can. 868 00:44:01,360 --> 00:44:04,080 Speaker 7: I think there are places where we feel generally more 869 00:44:04,080 --> 00:44:08,080 Speaker 7: hopeful Wisconsin looks good. Arizona looks you know, challenging in 870 00:44:08,080 --> 00:44:10,279 Speaker 7: its own ways. But also we have a great senatorial 871 00:44:10,320 --> 00:44:14,160 Speaker 7: candidate and Rubing Diego that speaks to young people in Latinos, 872 00:44:14,239 --> 00:44:16,920 Speaker 7: which is really important for that state's demographics. And then 873 00:44:17,120 --> 00:44:20,880 Speaker 7: in Pennsylvania. In Michigan are two other states. Michigan is 874 00:44:20,880 --> 00:44:22,239 Speaker 7: a state I think we need to make sure we 875 00:44:22,320 --> 00:44:24,799 Speaker 7: do the hard work and outreach for I think that 876 00:44:24,880 --> 00:44:27,680 Speaker 7: state is going to be very, very close, and I 877 00:44:27,680 --> 00:44:29,239 Speaker 7: think a lot of it could come down to young 878 00:44:29,280 --> 00:44:31,680 Speaker 7: people and making sure we spent the time and effort 879 00:44:31,719 --> 00:44:33,560 Speaker 7: and energy fully trying to reach them. 880 00:44:33,880 --> 00:44:37,759 Speaker 1: Yeah, and I mean that is for sure. You know 881 00:44:37,960 --> 00:44:40,879 Speaker 1: a place where the war in the Middle East is 882 00:44:41,400 --> 00:44:46,160 Speaker 1: where voters are furious. Talk to me about Nevada. Nevada 883 00:44:46,200 --> 00:44:50,320 Speaker 1: is like one of those states where supposely this seni 884 00:44:50,400 --> 00:44:54,880 Speaker 1: candidate there, Jackie Rosen, is actually a little bit better 885 00:44:55,160 --> 00:44:59,399 Speaker 1: senate candidate than the last cycle, better at politics. I mean, 886 00:44:59,600 --> 00:45:02,080 Speaker 1: is there a down ballid effect? And talk to me 887 00:45:02,120 --> 00:45:02,920 Speaker 1: about Nevada. 888 00:45:03,160 --> 00:45:04,719 Speaker 7: You know, Nevada is one of the states that I 889 00:45:04,760 --> 00:45:08,000 Speaker 7: think we are concerned about right now. Again, polling is 890 00:45:08,040 --> 00:45:10,680 Speaker 7: not like an indicator of the election or the actual 891 00:45:10,719 --> 00:45:13,040 Speaker 7: outcome as an indicator of people's sentiments at that time. 892 00:45:13,160 --> 00:45:15,440 Speaker 7: But polling does show that we have work to do 893 00:45:15,719 --> 00:45:19,080 Speaker 7: across the board, including with young people. That I think 894 00:45:19,120 --> 00:45:23,320 Speaker 7: it's a population that has been hit hard by different 895 00:45:23,320 --> 00:45:26,640 Speaker 7: elements of recovering from COVID, that we see a really 896 00:45:26,719 --> 00:45:29,919 Speaker 7: strong need to be spoken to about the economic pain 897 00:45:29,960 --> 00:45:31,960 Speaker 7: that a lot of Americans are in. And I think 898 00:45:32,000 --> 00:45:35,600 Speaker 7: that what we need to lean on is how Democrats 899 00:45:35,640 --> 00:45:39,200 Speaker 7: and progressives really do have a different vision for the 900 00:45:39,239 --> 00:45:43,720 Speaker 7: future economically. Most Americans do agree that, especially young people, 901 00:45:43,800 --> 00:45:45,920 Speaker 7: that we should be taxing the rich their fair share, 902 00:45:46,239 --> 00:45:48,160 Speaker 7: that we shouldn't just have a minimum wage, but a 903 00:45:48,200 --> 00:45:51,439 Speaker 7: living wage, that women should be paid for equal work, 904 00:45:51,440 --> 00:45:54,200 Speaker 7: that people should be able to unionize right that young 905 00:45:54,239 --> 00:45:57,879 Speaker 7: people eighty eight percent of them support labor unions. There 906 00:45:57,960 --> 00:46:01,919 Speaker 7: is only one party and one candidate at the top 907 00:46:01,960 --> 00:46:04,839 Speaker 7: of the ticket that support those four issues, and that 908 00:46:05,000 --> 00:46:08,120 Speaker 7: is Joe Biden and Democrats. And what we saw from 909 00:46:08,160 --> 00:46:11,000 Speaker 7: Trump was a real vision for the top one percent 910 00:46:11,239 --> 00:46:15,680 Speaker 7: enacted from tax cuts for the most wealthy Americans to 911 00:46:15,880 --> 00:46:18,680 Speaker 7: trying to squash the power of labor unions. And that 912 00:46:18,760 --> 00:46:21,759 Speaker 7: will only if you thought Trump twenty sixteen was bad. 913 00:46:21,840 --> 00:46:22,439 Speaker 1: You have no. 914 00:46:22,440 --> 00:46:24,879 Speaker 7: Idea how bad it will be Trump two point zero 915 00:46:24,880 --> 00:46:26,320 Speaker 7: for working people in this country. 916 00:46:26,680 --> 00:46:31,000 Speaker 1: Yeah, oh for sure. So can you talk to us 917 00:46:31,040 --> 00:46:34,520 Speaker 1: about there's a lot of anxiety that Trump is winning 918 00:46:34,560 --> 00:46:38,880 Speaker 1: the Latino vote in a way that is unprecedented. Is 919 00:46:38,880 --> 00:46:41,319 Speaker 1: that true and if so, what does that mean. 920 00:46:41,680 --> 00:46:43,960 Speaker 7: My last job before running next to in the country's 921 00:46:44,000 --> 00:46:47,520 Speaker 7: largest youthful organization, I spent close to twenty years organizing 922 00:46:47,560 --> 00:46:50,239 Speaker 7: the Latino community in Texas for Saron workers' rights and 923 00:46:50,239 --> 00:46:53,640 Speaker 7: then mobilizing young Latinos to vote. And I remember after 924 00:46:53,760 --> 00:46:56,840 Speaker 7: twenty twenty getting asked a lot if Latinos were leaning 925 00:46:56,840 --> 00:46:59,080 Speaker 7: more Republican or were they Democrats. So I said, you know, 926 00:46:59,080 --> 00:47:01,960 Speaker 7: we need to understand the population is We're not necessarily 927 00:47:02,000 --> 00:47:03,360 Speaker 7: either Republicans or Democrats. 928 00:47:03,400 --> 00:47:04,240 Speaker 1: What we are is poor. 929 00:47:04,520 --> 00:47:06,360 Speaker 7: You know, we are the ethnic group that is the 930 00:47:06,440 --> 00:47:08,799 Speaker 7: least likely to go to college, the most likely to 931 00:47:08,840 --> 00:47:10,800 Speaker 7: die on the job, the least likely to make below 932 00:47:10,920 --> 00:47:14,600 Speaker 7: fifteen dollars an hour. And so when Canadas speak to 933 00:47:14,640 --> 00:47:17,480 Speaker 7: our deep economic pain and spend the time and money 934 00:47:17,560 --> 00:47:20,120 Speaker 7: outreaching to us, they win our vote over because we're 935 00:47:20,160 --> 00:47:23,520 Speaker 7: also we live at this duality where yes, many of 936 00:47:23,560 --> 00:47:25,799 Speaker 7: us are newly arrived to this country, and at the 937 00:47:25,840 --> 00:47:28,560 Speaker 7: same time, in places like Texas, we were part of 938 00:47:28,560 --> 00:47:30,719 Speaker 7: this country before it was even a construct. 939 00:47:30,880 --> 00:47:31,440 Speaker 1: The realities. 940 00:47:31,440 --> 00:47:34,759 Speaker 7: If you look at Bernie Sanders, he did amazingly well 941 00:47:34,880 --> 00:47:37,319 Speaker 7: with Latino voters and brought tons of new Latino voters 942 00:47:37,320 --> 00:47:39,160 Speaker 7: into the political process because he spent the time and 943 00:47:39,200 --> 00:47:42,560 Speaker 7: money and energy reaching out to them. Historically, both sides 944 00:47:42,760 --> 00:47:44,839 Speaker 7: hadn't done an abysmal job of that, and I think 945 00:47:44,920 --> 00:47:47,360 Speaker 7: Republicans made a smart political calculation. That is, if we 946 00:47:47,400 --> 00:47:51,399 Speaker 7: go speak to Latino voters about economic issues and spend 947 00:47:51,440 --> 00:47:53,279 Speaker 7: the time and money on them, some Democrats have been 948 00:47:53,280 --> 00:47:55,200 Speaker 7: taking them for granted and that if we're the first 949 00:47:55,239 --> 00:47:57,359 Speaker 7: to outreach to them, they may come to our side. 950 00:47:57,400 --> 00:47:59,160 Speaker 7: And so that's what I see as I see that 951 00:47:59,320 --> 00:48:02,160 Speaker 7: Democrats to spend a lot more time and money speaking 952 00:48:02,200 --> 00:48:05,799 Speaker 7: to the economic realities of Latino voters. We are still 953 00:48:05,840 --> 00:48:09,759 Speaker 7: overwhelmingly Democratic voters, especially because we are young people. I 954 00:48:09,800 --> 00:48:12,960 Speaker 7: just see massive opportunity because our voting power mostly lies 955 00:48:13,000 --> 00:48:15,960 Speaker 7: with young people. We are also one of the youngest 956 00:48:15,960 --> 00:48:18,560 Speaker 7: ethnic group in the country. So the most common age 957 00:48:18,560 --> 00:48:22,040 Speaker 7: for white American is fifty five, for an African American 958 00:48:22,080 --> 00:48:25,360 Speaker 7: it's twenty seven, and for a Latino American it's eleven. 959 00:48:25,560 --> 00:48:30,640 Speaker 7: And today one in four American children are now actually Latino. 960 00:48:30,719 --> 00:48:33,279 Speaker 7: So what are we doing to go invest into that 961 00:48:33,400 --> 00:48:35,160 Speaker 7: community and their burgeoning power? 962 00:48:35,440 --> 00:48:39,759 Speaker 1: Cool? I love that though. That's so hopeful and exciting, 963 00:48:40,080 --> 00:48:42,320 Speaker 1: and I think that's a really good point. You need 964 00:48:42,600 --> 00:48:47,560 Speaker 1: to speak to people where they are make the case right. 965 00:48:47,880 --> 00:48:50,360 Speaker 7: Yeah, I mean I think that young people there isn't 966 00:48:50,400 --> 00:48:53,400 Speaker 7: just you know, it's a huge demographic. We do everything 967 00:48:53,440 --> 00:48:55,879 Speaker 7: we can to try and each young people where they're at. 968 00:48:55,880 --> 00:48:58,680 Speaker 7: That for us as the largest det vote organization. Yes, 969 00:48:58,719 --> 00:49:02,960 Speaker 7: it's being on college and community college campuses, it's organizing 970 00:49:03,000 --> 00:49:07,040 Speaker 7: with influencers, it's organizing on dating apps, it's mobilizing our 971 00:49:07,120 --> 00:49:10,279 Speaker 7: tens of thousands of volunteers literally to send tens of 972 00:49:10,400 --> 00:49:15,320 Speaker 7: millions of calls and texts to young people. And even 973 00:49:15,520 --> 00:49:17,920 Speaker 7: our new thing we've started doing, which is we developed 974 00:49:17,960 --> 00:49:20,840 Speaker 7: an AI chatbot to organize on Discord and Twitch and 975 00:49:20,880 --> 00:49:23,640 Speaker 7: the gaming community, especially to focus on reaching young men. 976 00:49:23,960 --> 00:49:26,480 Speaker 7: We try and leave no stone unturned to reach young 977 00:49:26,520 --> 00:49:28,840 Speaker 7: people that are probably never going to watch a traditional 978 00:49:28,880 --> 00:49:32,000 Speaker 7: TV advertisement or radio advertisement. But make sure we're reaching 979 00:49:32,000 --> 00:49:33,840 Speaker 7: in them in all the other ways possible. 980 00:49:34,080 --> 00:49:38,280 Speaker 1: Yes, such a good point and so important and also 981 00:49:38,560 --> 00:49:42,880 Speaker 1: a little bit heartening, right I mean, and those voters 982 00:49:42,920 --> 00:49:46,959 Speaker 1: are there for Joe Biden if he can connect with them, 983 00:49:47,480 --> 00:49:48,600 Speaker 1: right absolutely. 984 00:49:48,680 --> 00:49:51,120 Speaker 7: I think what we've seen is when you invest in 985 00:49:51,160 --> 00:49:54,040 Speaker 7: young people and spend the time and money outreaching to them, 986 00:49:54,239 --> 00:49:57,279 Speaker 7: they do turn out. When we started our organization ten 987 00:49:57,360 --> 00:49:59,920 Speaker 7: years ago with the idea that we could tackle the 988 00:50:00,000 --> 00:50:03,080 Speaker 7: climate crisis, the largest crisis of our time, by mobilizing 989 00:50:03,120 --> 00:50:05,480 Speaker 7: young people to turn out to vote, we were generally 990 00:50:05,560 --> 00:50:08,200 Speaker 7: laughed at that that was a really naive thing to 991 00:50:08,239 --> 00:50:10,200 Speaker 7: spend money on, that young people were not going to 992 00:50:10,239 --> 00:50:13,120 Speaker 7: turn out, that they were apathetic. Well it's ten years later, 993 00:50:13,280 --> 00:50:15,520 Speaker 7: we've seen the highest use going to turn out the 994 00:50:15,560 --> 00:50:19,040 Speaker 7: last few elections and the largest investment ever to tackle 995 00:50:19,080 --> 00:50:21,520 Speaker 7: the climate crisis. That is because of the power of 996 00:50:21,600 --> 00:50:22,160 Speaker 7: young people. 997 00:50:22,440 --> 00:50:24,560 Speaker 1: Thank you, Christina. 998 00:50:24,200 --> 00:50:25,839 Speaker 7: Thanks so much Molly for having me and for covering 999 00:50:25,920 --> 00:50:28,000 Speaker 7: the youth vote. 1000 00:50:28,760 --> 00:50:34,680 Speaker 1: No moment, Oh fuck on, Rick Wilson, what is your 1001 00:50:34,760 --> 00:50:35,680 Speaker 1: moment of fuckery? 1002 00:50:36,360 --> 00:50:39,600 Speaker 3: My moment of fuckery is that this week there is 1003 00:50:39,840 --> 00:50:46,840 Speaker 3: a absolute tidal wave, an onslaught of reporting about Joe Biden. Okay, 1004 00:50:47,000 --> 00:50:51,120 Speaker 3: let's just even say it's legitimate, or that it's journalism. Whatever. 1005 00:50:51,320 --> 00:50:53,719 Speaker 3: We'll argue that point some other day. But it is 1006 00:50:53,800 --> 00:50:57,920 Speaker 3: almost exclusively even in foreign newspapers and foreign media outlets, 1007 00:50:58,239 --> 00:51:02,200 Speaker 3: that in the release of the files, Donald Trump pops 1008 00:51:02,280 --> 00:51:05,400 Speaker 3: up in the Epsteine files being accused of having raped 1009 00:51:05,440 --> 00:51:08,240 Speaker 3: two girls to twelve year olds. 1010 00:51:08,680 --> 00:51:11,239 Speaker 1: Why didn't that get more mainstream media coverage? Is it 1011 00:51:11,320 --> 00:51:12,960 Speaker 1: not real? I don't understand. 1012 00:51:13,080 --> 00:51:14,560 Speaker 3: You know why they're not doing it. I'll tell you 1013 00:51:14,600 --> 00:51:17,960 Speaker 3: exactly why they know. If they run that story, they're 1014 00:51:18,040 --> 00:51:24,040 Speaker 3: going to get four thousand, good jillion tweets and emails 1015 00:51:24,080 --> 00:51:26,640 Speaker 3: and phone calls from Maugas saying We're gonna come burn 1016 00:51:26,719 --> 00:51:30,280 Speaker 3: down your building, wet you. That's why they're doing it, Okay, 1017 00:51:30,360 --> 00:51:32,480 Speaker 3: that's why they won't fucking cover it. And look, if 1018 00:51:32,480 --> 00:51:34,640 Speaker 3: you go back, you will not find me having a 1019 00:51:34,640 --> 00:51:37,480 Speaker 3: whole bunch of tweets over the years about the story 1020 00:51:37,480 --> 00:51:40,200 Speaker 3: that is alleged from these documents, because before it was 1021 00:51:40,280 --> 00:51:43,319 Speaker 3: only alleged. Now it is in the court filings. And 1022 00:51:43,360 --> 00:51:47,239 Speaker 3: I'm shocked that American reporters who are able to dig 1023 00:51:47,320 --> 00:51:49,880 Speaker 3: down and find a person who wrote on an airplane 1024 00:51:49,920 --> 00:51:53,360 Speaker 3: with Joe Biden once in twenty twenty, comparing him, he 1025 00:51:53,480 --> 00:51:56,760 Speaker 3: should say he thinks you should drop out. It's amazing 1026 00:51:56,760 --> 00:51:59,160 Speaker 3: to me. Not one of these people has fucking called 1027 00:51:59,400 --> 00:52:03,840 Speaker 3: Alex who Trump gave a job after the Epstein case 1028 00:52:04,040 --> 00:52:08,520 Speaker 3: because Alex Acosta got Jeffrey Epstein a plea bargain. This 1029 00:52:08,640 --> 00:52:12,319 Speaker 3: thing stinks on ice, the fact that nobody's talking about it, 1030 00:52:12,520 --> 00:52:15,560 Speaker 3: nobody's covering it, and I will point out that MAGA 1031 00:52:15,640 --> 00:52:19,520 Speaker 3: is very frequently ready to call anyone who disagrees with 1032 00:52:19,560 --> 00:52:22,640 Speaker 3: Donald Trump a pedophile, and now we have court testimony 1033 00:52:22,840 --> 00:52:25,960 Speaker 3: in which Donald Trump is a rape pedophile. I'm sorry, 1034 00:52:26,360 --> 00:52:29,440 Speaker 3: I find it outrageous fuckery. No one's covering this at scale. 1035 00:52:29,560 --> 00:52:32,600 Speaker 1: Do you want to know my moment of fuckery, Rick Wilson, 1036 00:52:33,040 --> 00:52:37,200 Speaker 1: I do. My momentive fuckery is Charlie Gasparino, who wrote 1037 00:52:37,280 --> 00:52:40,399 Speaker 1: a disgusting opinion piece in The New York Post where 1038 00:52:40,440 --> 00:52:44,680 Speaker 1: he said that Vice President Harris was a DEI hire, 1039 00:52:45,080 --> 00:52:47,799 Speaker 1: despite the fact that she was the age, that she 1040 00:52:47,960 --> 00:52:52,239 Speaker 1: was the second black female senator ever, that she is 1041 00:52:52,320 --> 00:52:58,879 Speaker 1: a fucking brilliant, gifted or to our super amazing politician, 1042 00:52:59,040 --> 00:53:06,000 Speaker 1: great speaker, very smart lawyer, prosecuted the fake universities, was 1043 00:53:06,360 --> 00:53:08,960 Speaker 1: a leader in California, then went on to the Senate 1044 00:53:09,000 --> 00:53:12,279 Speaker 1: and is the vice president and is very much a 1045 00:53:12,320 --> 00:53:16,880 Speaker 1: success in her own right. Meanwhile, Charlie Gasparino yet another 1046 00:53:17,120 --> 00:53:20,359 Speaker 1: mediocre white guy. He is our moment of fuck. 1047 00:53:20,440 --> 00:53:23,480 Speaker 3: Ray couldn't agree more. And anytime you hear the phrase 1048 00:53:23,520 --> 00:53:26,960 Speaker 3: DEI or CRT or the sixteen nineteen project come out 1049 00:53:26,960 --> 00:53:29,680 Speaker 3: of Omaga, it's the inward. That's it. That's what it is. 1050 00:53:29,760 --> 00:53:31,640 Speaker 3: It's the inWORD. Just think of it that way and 1051 00:53:31,680 --> 00:53:32,240 Speaker 3: you got. 1052 00:53:32,040 --> 00:53:37,279 Speaker 1: It, Yes, exactly, that's it. That's it. That's it for 1053 00:53:37,400 --> 00:53:41,200 Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday 1054 00:53:41,200 --> 00:53:44,160 Speaker 1: and Friday to hear the best minds in politics makes 1055 00:53:44,160 --> 00:53:47,480 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 1056 00:53:47,840 --> 00:53:50,800 Speaker 1: please send it to a friend and keep the conversation going. 1057 00:53:51,160 --> 00:53:52,880 Speaker 1: And again, thanks for listening.