1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly 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 --> 00:00:12,400 Speaker 1: today's best minds, and President Biden has pledged one point 4 00:00:12,440 --> 00:00:16,360 Speaker 1: seven billion dollars to end hunger across the United States. 5 00:00:16,560 --> 00:00:18,640 Speaker 2: We have such an interesting show today. 6 00:00:19,280 --> 00:00:24,560 Speaker 1: Former CNN analyst John Aflon tells us why he's leaving 7 00:00:24,640 --> 00:00:29,000 Speaker 1: punditry to run for a Long Island congressional seat. Then 8 00:00:29,080 --> 00:00:33,680 Speaker 1: we'll talk to San Francisco mayoral candidate Daniel Lurie about 9 00:00:33,680 --> 00:00:38,000 Speaker 1: his run against a sitting incumbent. But first we have 10 00:00:38,159 --> 00:00:40,199 Speaker 1: talking points memos. 11 00:00:40,960 --> 00:00:44,840 Speaker 2: Josh Marshall. Welcome too, Fast Politics. 12 00:00:44,920 --> 00:00:46,879 Speaker 3: Josh Marshall, thanks for having me. 13 00:00:47,240 --> 00:00:48,400 Speaker 2: We're excited to have you. 14 00:00:48,600 --> 00:00:51,720 Speaker 1: I live in a household was not one, but two 15 00:00:51,760 --> 00:00:53,480 Speaker 1: talking points memos. 16 00:00:53,520 --> 00:00:55,920 Speaker 3: Subscriptions, Oh wow, that's good. 17 00:00:55,960 --> 00:00:57,640 Speaker 4: You know you can always jump it up to three 18 00:00:57,800 --> 00:00:59,440 Speaker 4: if you feel so strongly about it. 19 00:00:59,520 --> 00:01:02,760 Speaker 1: We only have one Economist subscription because it's so expensive. 20 00:01:02,840 --> 00:01:05,760 Speaker 1: I want to talk to you first about you broke 21 00:01:05,800 --> 00:01:10,080 Speaker 1: a bunch of news this week, but my. 22 00:01:10,360 --> 00:01:15,360 Speaker 2: Favorite is a weird little canard? Is that the really 23 00:01:15,440 --> 00:01:16,880 Speaker 2: pretentious way to describe it? 24 00:01:17,040 --> 00:01:18,320 Speaker 3: Which thing are we talking about? 25 00:01:18,640 --> 00:01:23,360 Speaker 1: We're talking about the secret Ken shisbro but it should 26 00:01:23,360 --> 00:01:28,840 Speaker 1: be cheesebrow Twitter account, right. We broke that story like 27 00:01:28,920 --> 00:01:31,440 Speaker 1: a week and a half ago. We did a series 28 00:01:31,680 --> 00:01:35,560 Speaker 1: about this kind of trolls of documents of his that 29 00:01:35,720 --> 00:01:39,440 Speaker 1: shed a lot of new details about his role in 30 00:01:39,760 --> 00:01:42,600 Speaker 1: not the storming of the Capitol on January sixth, but 31 00:01:42,800 --> 00:01:45,040 Speaker 1: the idea that you're going to kind of throw a 32 00:01:45,440 --> 00:01:48,960 Speaker 1: wrench into the works and then create this big crisis 33 00:01:49,320 --> 00:01:51,160 Speaker 1: with you know, with the whole thing with Mike Pence 34 00:01:51,240 --> 00:01:54,240 Speaker 1: not accepting the electoral votes and all that kind of stuff. 35 00:01:54,320 --> 00:01:57,120 Speaker 1: A lot of new details about that. We actually broke 36 00:01:57,160 --> 00:01:59,080 Speaker 1: that story, like I said, in this series, about a 37 00:01:59,120 --> 00:02:01,680 Speaker 1: week and a half ago, but we sort of pushed 38 00:02:01,680 --> 00:02:05,600 Speaker 1: it out again yesterday because CNN came out with a 39 00:02:05,720 --> 00:02:10,120 Speaker 1: purported exclusive which actually followed our piece, and they called 40 00:02:10,160 --> 00:02:12,440 Speaker 1: it an exclusive, and so we kind of piped up 41 00:02:12,480 --> 00:02:14,880 Speaker 1: again and said, oh, it's not an exclusive because you know, 42 00:02:14,919 --> 00:02:17,160 Speaker 1: we did this ten days ago or two weeks ago, 43 00:02:17,320 --> 00:02:19,880 Speaker 1: and you know, since we're cool, we don't kind of say, 44 00:02:19,960 --> 00:02:23,280 Speaker 1: like you guys saw for not admitting that because there 45 00:02:23,360 --> 00:02:27,440 Speaker 1: was there was like story, there was like one little 46 00:02:27,520 --> 00:02:30,560 Speaker 1: aside that said, oh, you know, This was also mentioned 47 00:02:30,600 --> 00:02:33,840 Speaker 1: by Talking Points memo you know whatever. But in any case, 48 00:02:33,880 --> 00:02:35,640 Speaker 1: it's a way for us to kind of remind our 49 00:02:35,680 --> 00:02:38,960 Speaker 1: readers of our subscribers how awesome we are and all 50 00:02:39,040 --> 00:02:41,640 Speaker 1: that kind of suff and a kind of a download 51 00:02:41,680 --> 00:02:42,679 Speaker 1: tweak of CNN. 52 00:02:42,880 --> 00:02:46,280 Speaker 4: But yet it's a cool story. And we had this 53 00:02:46,760 --> 00:02:50,239 Speaker 4: kind of a popet account where he was tweeting anonymously, 54 00:02:50,280 --> 00:02:53,200 Speaker 4: which is cool, right, people can have anonymous Twitter accounts, 55 00:02:53,400 --> 00:02:55,920 Speaker 4: But it was also a way to kind of communicate 56 00:02:56,000 --> 00:02:58,360 Speaker 4: with other co conspirators. I mean, the whole thing is 57 00:02:58,560 --> 00:03:02,480 Speaker 4: such a weird character in that whole story with you know, 58 00:03:02,600 --> 00:03:03,680 Speaker 4: kind of a capital W. 59 00:03:04,120 --> 00:03:05,280 Speaker 3: So it's a fun thing. 60 00:03:05,800 --> 00:03:09,120 Speaker 2: Yeah, I mean it's interesting. And like the fact that 61 00:03:09,280 --> 00:03:12,240 Speaker 2: these Trump legal. 62 00:03:11,919 --> 00:03:15,920 Speaker 1: Trials continue on and there are many to get onto 63 00:03:16,000 --> 00:03:19,240 Speaker 1: Trump legal trials. What are the Trump legal hazards that 64 00:03:19,280 --> 00:03:21,320 Speaker 1: you are watching that are imminent? 65 00:03:21,639 --> 00:03:23,959 Speaker 4: Well, you could take a course on you know, there's 66 00:03:24,000 --> 00:03:26,760 Speaker 4: so many rights, right, most of us have been focused 67 00:03:26,880 --> 00:03:30,440 Speaker 4: on these four criminal trials, you know, the sort of 68 00:03:30,440 --> 00:03:34,400 Speaker 4: a purported four horsemen of Trump's apocalypse, the two Jack 69 00:03:34,440 --> 00:03:37,520 Speaker 4: Smith trials, the one down in Georgia, the sort of 70 00:03:37,560 --> 00:03:40,240 Speaker 4: the runt of the family, the one in you know, 71 00:03:40,280 --> 00:03:42,800 Speaker 4: the Stormy Daniels one in New York, which is. 72 00:03:42,800 --> 00:03:45,200 Speaker 3: Always kind of little respects. Right. 73 00:03:45,400 --> 00:03:47,320 Speaker 4: The weird thing is is that the ones that have 74 00:03:47,440 --> 00:03:50,600 Speaker 4: really gotten the most attention and in a way have 75 00:03:50,720 --> 00:03:53,320 Speaker 4: sort of drawn the most blood are these ones that 76 00:03:53,720 --> 00:03:55,600 Speaker 4: people work paying a lot of attention to. 77 00:03:55,760 --> 00:03:56,680 Speaker 3: You know, this big. 78 00:03:56,520 --> 00:03:59,520 Speaker 4: Civil suit by the State of New York, the one 79 00:03:59,560 --> 00:04:02,280 Speaker 4: that General rated there's almost like five hundred million dollars 80 00:04:02,720 --> 00:04:06,160 Speaker 4: fine and it's technically to call it a disgorgement. It's 81 00:04:06,200 --> 00:04:08,760 Speaker 4: given money, you know, giving money back and everything was that. 82 00:04:09,600 --> 00:04:13,760 Speaker 4: There's the ge Harrol cases, which we I mean, which 83 00:04:13,800 --> 00:04:16,520 Speaker 4: she was stupid enough to make plural by going back 84 00:04:16,560 --> 00:04:18,760 Speaker 4: to the well and defeating her again, which I know 85 00:04:18,920 --> 00:04:22,120 Speaker 4: you had a close involvement with. It's weird because you know, 86 00:04:22,400 --> 00:04:25,000 Speaker 4: they have this kind of ringer judge down in Florida, 87 00:04:25,080 --> 00:04:27,280 Speaker 4: federal judge down in Florida, who really does seem. 88 00:04:27,080 --> 00:04:29,960 Speaker 2: To judge a Leen Cannon, right. 89 00:04:29,839 --> 00:04:33,359 Speaker 4: Who's essentially kind of killed that trial as something that 90 00:04:33,440 --> 00:04:36,560 Speaker 4: will happen before the election. So that one is kind 91 00:04:36,600 --> 00:04:38,520 Speaker 4: of we've treated that one as kind of out of 92 00:04:38,560 --> 00:04:40,200 Speaker 4: contention for months. 93 00:04:40,240 --> 00:04:43,400 Speaker 3: Just you know, again, if it's not going to happen. 94 00:04:43,440 --> 00:04:47,159 Speaker 4: She is, she has successfully since she's basically part of 95 00:04:47,160 --> 00:04:50,720 Speaker 4: Trump's legal team, has successfully taken that one out of contention. 96 00:04:51,000 --> 00:04:55,320 Speaker 4: You've got this bizarre situation down in Georgia where a 97 00:04:55,400 --> 00:04:59,440 Speaker 4: couple of Trump's co defendants have gotten somehow or another, 98 00:05:00,080 --> 00:05:03,440 Speaker 4: managed to get that trial to a question of whether 99 00:05:03,560 --> 00:05:05,839 Speaker 4: or not the prosecutor had sex with one of her 100 00:05:05,880 --> 00:05:10,400 Speaker 4: co prosecutors before their quote unquote relationship began, which is 101 00:05:10,720 --> 00:05:12,760 Speaker 4: Pli's belief that you got it to that point. So 102 00:05:12,800 --> 00:05:14,839 Speaker 4: now we're kind of down to the you know, the 103 00:05:14,920 --> 00:05:18,400 Speaker 4: coup trial Jack Smith, which is also being delayed, and 104 00:05:18,440 --> 00:05:21,920 Speaker 4: then the Stormy Daniels case in New York, which, as 105 00:05:21,960 --> 00:05:24,440 Speaker 4: you say, is coming up and will probably now be 106 00:05:24,560 --> 00:05:28,520 Speaker 4: the first criminal trial. So Stormy Daniels ends up being 107 00:05:28,520 --> 00:05:31,599 Speaker 4: the sort of the tortoise, right who wins the race 108 00:05:31,920 --> 00:05:35,040 Speaker 4: in the final moment, even though I'm going to take 109 00:05:35,040 --> 00:05:39,200 Speaker 4: that anywhere. That's kind of the tor arizon, yeah, of 110 00:05:39,240 --> 00:05:40,640 Speaker 4: Trump legal cases. 111 00:05:40,640 --> 00:05:42,120 Speaker 3: But there's you know, there's a lot. 112 00:05:42,320 --> 00:05:45,080 Speaker 1: It's funny because it's like I always think of, you know, 113 00:05:45,200 --> 00:05:48,240 Speaker 1: Trump sort of feels I think, or at least the 114 00:05:48,400 --> 00:05:49,679 Speaker 1: sort of Trump hads felt. 115 00:05:49,800 --> 00:05:50,640 Speaker 2: I think and the. 116 00:05:50,520 --> 00:05:54,280 Speaker 1: Popular wisdom has been that these cases have helped Trump 117 00:05:54,320 --> 00:05:57,240 Speaker 1: because he was able to raise money. You know, if 118 00:05:57,279 --> 00:06:00,760 Speaker 1: you look at the chart of Trump raising money, it 119 00:06:01,080 --> 00:06:03,200 Speaker 1: spikes right when he gets indicted. 120 00:06:03,600 --> 00:06:06,200 Speaker 2: But I actually have this like. 121 00:06:06,600 --> 00:06:12,640 Speaker 1: Counterintuitive theory that candidate Trump and defendant Trump actually run 122 00:06:13,080 --> 00:06:16,640 Speaker 1: contrary to each other, and every time that a lot 123 00:06:16,680 --> 00:06:20,760 Speaker 1: of times, candidate Trump will actually by being a candidate, 124 00:06:20,839 --> 00:06:25,520 Speaker 1: screwover defendant Trump and vice versa. So, for example, the 125 00:06:25,920 --> 00:06:30,039 Speaker 1: civil penalty would not have been as high had candidate 126 00:06:30,080 --> 00:06:32,200 Speaker 1: Trump not gone out there and said, I have a 127 00:06:32,320 --> 00:06:37,440 Speaker 1: billion trillion zillion dollars and you should be apologizing to me, versus, 128 00:06:37,800 --> 00:06:40,120 Speaker 1: you know, showing a little contrition and being like, I'm 129 00:06:40,160 --> 00:06:40,839 Speaker 1: really sorry. 130 00:06:41,640 --> 00:06:42,880 Speaker 3: You know, that number. 131 00:06:42,640 --> 00:06:43,559 Speaker 2: Probably would be half. 132 00:06:44,240 --> 00:06:46,719 Speaker 4: It's been a little unclear to me in that case 133 00:06:46,839 --> 00:06:50,640 Speaker 4: how much. I mean, he is probably right that if 134 00:06:50,680 --> 00:06:54,479 Speaker 4: he had not been super high profile and these various 135 00:06:54,520 --> 00:06:57,400 Speaker 4: stories had come out that have sort of put in 136 00:06:57,480 --> 00:07:00,719 Speaker 4: the front pages his you know, over valueuation on his 137 00:07:00,800 --> 00:07:02,800 Speaker 4: assets and all these kind of things, if he had 138 00:07:02,800 --> 00:07:07,600 Speaker 4: not been such a ubiquitous media presence, he probably the 139 00:07:07,640 --> 00:07:11,120 Speaker 4: case probably would have never have been brought. But that's 140 00:07:11,120 --> 00:07:13,640 Speaker 4: not an excuse, right, I mean, that's kind of like. 141 00:07:13,960 --> 00:07:16,080 Speaker 1: No, but I mean, I'm just saying that he would 142 00:07:16,080 --> 00:07:20,720 Speaker 1: do better if he wouldn't use each trial as a 143 00:07:20,840 --> 00:07:26,480 Speaker 1: campaign stop. And I wonder if his whole secret theory 144 00:07:26,520 --> 00:07:31,320 Speaker 1: to use the trial, use these trials to campaign is 145 00:07:31,400 --> 00:07:33,080 Speaker 1: actually going to backfire. 146 00:07:33,600 --> 00:07:37,240 Speaker 4: I think it will, and I think what you're describing 147 00:07:37,560 --> 00:07:42,280 Speaker 4: is really the reality distortion field that makes this evener question. 148 00:07:42,640 --> 00:07:46,600 Speaker 4: He has this way of saying, you would think my 149 00:07:47,320 --> 00:07:52,720 Speaker 4: being indicted for felony indictments four separate times and racking 150 00:07:52,800 --> 00:07:55,200 Speaker 4: up fines of hundreds of millions of dollars would be 151 00:07:55,240 --> 00:07:57,280 Speaker 4: bad for me, but in fact it is good for me. 152 00:07:57,840 --> 00:08:02,200 Speaker 4: It only makes me stronger. And even us, people who 153 00:08:02,560 --> 00:08:05,600 Speaker 4: many probably see at the you know, at the heart 154 00:08:05,680 --> 00:08:08,600 Speaker 4: of the resistance or whatever they call it, it even 155 00:08:08,640 --> 00:08:11,679 Speaker 4: affects us, right, And kind of maybe maybe it's true. 156 00:08:11,680 --> 00:08:13,880 Speaker 4: It really, you know, the more you and diet him, 157 00:08:13,920 --> 00:08:17,000 Speaker 4: the stronger he gets. But that's always been absurd. That's 158 00:08:17,000 --> 00:08:17,960 Speaker 4: completely absurd. 159 00:08:18,040 --> 00:08:19,520 Speaker 5: Of course, that's what I think. 160 00:08:19,760 --> 00:08:23,040 Speaker 4: That he gets indicted, and even in the narrow sense 161 00:08:23,480 --> 00:08:26,440 Speaker 4: that he fundraises often that that's not even that great, 162 00:08:26,560 --> 00:08:29,280 Speaker 4: since as we've seen all that money goes cities lawyers. 163 00:08:29,480 --> 00:08:32,720 Speaker 4: So I mean, it doesn't really help him in the 164 00:08:32,760 --> 00:08:34,319 Speaker 4: sense that we normally think of fundraising. 165 00:08:34,559 --> 00:08:37,480 Speaker 1: But it is an interesting theory of the case, right, 166 00:08:37,600 --> 00:08:40,080 Speaker 1: like he has if you look at there's an article 167 00:08:40,080 --> 00:08:42,839 Speaker 1: in the Financial Times, you know, he's lost about two 168 00:08:42,920 --> 00:08:47,320 Speaker 1: hundred thousand of these donors. You know, his sort of 169 00:08:47,600 --> 00:08:51,440 Speaker 1: his numbers are down, his enthusiasm. I mean, that's the 170 00:08:51,440 --> 00:08:53,280 Speaker 1: thing I'm struck by. I don't know if you read that. 171 00:08:53,440 --> 00:08:55,920 Speaker 1: There was a thing in the Times today about how 172 00:08:56,440 --> 00:08:59,800 Speaker 1: he tends to be going in about ten points below 173 00:08:59,840 --> 00:09:02,840 Speaker 1: the polls. Now, I have a friend who's straight news 174 00:09:02,880 --> 00:09:04,880 Speaker 1: reporter who I fight with, you know who. I have 175 00:09:05,040 --> 00:09:08,000 Speaker 1: my like a little bit contrary, perhaps a little bit 176 00:09:08,080 --> 00:09:10,360 Speaker 1: liberal take, and then he has his straight down the 177 00:09:10,400 --> 00:09:13,440 Speaker 1: middle take, and we fight about it. But I actually 178 00:09:13,600 --> 00:09:17,520 Speaker 1: do think like it is interesting. Like the whole theory 179 00:09:17,520 --> 00:09:20,080 Speaker 1: of the case that Biden should drop out is based 180 00:09:20,280 --> 00:09:25,000 Speaker 1: solely on polls. So here is a pretty tangible evidence 181 00:09:25,040 --> 00:09:27,920 Speaker 1: that Trump is pulling much better than he's actually performing. 182 00:09:28,280 --> 00:09:32,960 Speaker 4: Its suggestive that it's hard. It's always hard to make 183 00:09:33,000 --> 00:09:35,959 Speaker 4: any sort of straight line between the dynamics of a 184 00:09:36,480 --> 00:09:41,080 Speaker 4: primary contest and a general election contest. But there are 185 00:09:41,440 --> 00:09:45,120 Speaker 4: a lot of things about this primary contest, both in 186 00:09:45,160 --> 00:09:48,200 Speaker 4: the polling, in the results, and in the difference between 187 00:09:48,200 --> 00:09:50,880 Speaker 4: the polling and the results that are at least warning 188 00:09:50,960 --> 00:09:53,720 Speaker 4: signs for Trump. I don't think, you know, they don't 189 00:09:53,720 --> 00:09:57,120 Speaker 4: tell us that he's destined to lose or anything like that. 190 00:09:57,720 --> 00:10:02,679 Speaker 4: It's relevant information and it points to some of the 191 00:10:02,679 --> 00:10:05,559 Speaker 4: theories people have that he is not as strong as 192 00:10:05,600 --> 00:10:09,400 Speaker 4: his current polling suggests. His actual results in each of 193 00:10:09,440 --> 00:10:15,079 Speaker 4: these primary contests have been not hugely, but significantly under 194 00:10:15,280 --> 00:10:18,120 Speaker 4: what the polls suggested. One of the reasons that may 195 00:10:18,200 --> 00:10:22,439 Speaker 4: be the case is that Nikki Haley in South Carolina 196 00:10:22,960 --> 00:10:27,800 Speaker 4: did much much better among more affluent and more educated Republicans. 197 00:10:27,840 --> 00:10:28,840 Speaker 3: That's not a surprise. 198 00:10:29,480 --> 00:10:32,120 Speaker 4: The more affluent and more educated people are, in general, 199 00:10:32,160 --> 00:10:34,160 Speaker 4: the more likely they are to know. So that's one 200 00:10:34,280 --> 00:10:37,520 Speaker 4: piece of the equation. The other is that when you 201 00:10:37,559 --> 00:10:41,800 Speaker 4: look at the polls, often the actual percentage that the 202 00:10:41,840 --> 00:10:45,320 Speaker 4: polls suggested that Trump would get is actually pretty on 203 00:10:45,360 --> 00:10:48,320 Speaker 4: the mark. The key is is that in any poll 204 00:10:48,440 --> 00:10:52,640 Speaker 4: you always have you see it all and it's sixteen thirty, Well, 205 00:10:53,320 --> 00:10:55,680 Speaker 4: sixteen thirty doesn't add up to one hundred. So the 206 00:10:55,760 --> 00:10:58,440 Speaker 4: question is always where do those extra people end up going? 207 00:10:58,960 --> 00:11:02,480 Speaker 4: And to a significant degree, in each of these contests, 208 00:11:02,640 --> 00:11:05,679 Speaker 4: they've broken in the other direction. They've broken to Haley. 209 00:11:06,200 --> 00:11:08,959 Speaker 4: So you can never draw a straight line between the 210 00:11:09,040 --> 00:11:12,040 Speaker 4: dynamics of a primary and general election. They're two different. 211 00:11:12,320 --> 00:11:16,640 Speaker 4: But their hints that lend a bit of support to Again, 212 00:11:16,760 --> 00:11:19,400 Speaker 4: the theories that say that that Trump's strength and a 213 00:11:19,480 --> 00:11:24,080 Speaker 4: general is overstated, I certainly think they are. They're significant 214 00:11:24,080 --> 00:11:27,040 Speaker 4: warning signs, and frankly, the biggest warning sign I think 215 00:11:27,320 --> 00:11:29,640 Speaker 4: is that Trump is already the nominated. I mean, he 216 00:11:30,000 --> 00:11:32,200 Speaker 4: was really already the nominee a year ago, but he's 217 00:11:32,320 --> 00:11:35,720 Speaker 4: one hundred percent of the nominee now, and yet you're 218 00:11:35,800 --> 00:11:41,720 Speaker 4: having big turnout primaries where forty percent of voters are 219 00:11:41,760 --> 00:11:46,240 Speaker 4: saying no. And you know, Nikky Haley's great, but she's 220 00:11:46,280 --> 00:11:49,880 Speaker 4: really a placeholder candidate. She's kind of basically up there 221 00:11:49,920 --> 00:11:52,920 Speaker 4: with light with you know, kind of Dean Phillips, maybe 222 00:11:52,920 --> 00:11:55,960 Speaker 4: Bean Phillips plus right. So the fact that you're that 223 00:11:56,000 --> 00:11:58,920 Speaker 4: you're still having people willing to turn out and vote 224 00:11:58,920 --> 00:12:01,560 Speaker 4: for someone else, that's not a good sign. And to 225 00:12:01,679 --> 00:12:04,000 Speaker 4: know why it's not a good sign imagine that the 226 00:12:04,000 --> 00:12:06,400 Speaker 4: same thing we're happening to by people would be losing 227 00:12:06,400 --> 00:12:07,720 Speaker 4: their minds, right. 228 00:12:07,840 --> 00:12:11,160 Speaker 1: Imagine if Dean Phillips we're pulling it more than you know, 229 00:12:11,240 --> 00:12:14,679 Speaker 1: we're you know, we're getting more than about two percent 230 00:12:14,720 --> 00:12:15,160 Speaker 1: of the vote. 231 00:12:15,280 --> 00:12:18,800 Speaker 4: Yeah, an imbecile worm like Dean Phillips getting forty percent. 232 00:12:19,160 --> 00:12:22,600 Speaker 4: Everybody who supports Biden would be losing their minds. You know, 233 00:12:22,800 --> 00:12:24,880 Speaker 4: she's not quite an imbecile worm. 234 00:12:25,160 --> 00:12:28,440 Speaker 3: Level, but you know she's not that much better. 235 00:12:28,600 --> 00:12:31,920 Speaker 4: He's a placeholder cane, a little Pascal reference for those 236 00:12:31,920 --> 00:12:33,240 Speaker 4: of you who are who are an. 237 00:12:33,120 --> 00:12:40,880 Speaker 1: Engineered as we are, like looking at this kind of 238 00:12:41,480 --> 00:12:45,199 Speaker 1: endless primary, one of the things I think is really interesting. 239 00:12:45,520 --> 00:12:47,120 Speaker 2: And you tell me if I'm crazy about this. 240 00:12:47,240 --> 00:12:50,320 Speaker 1: Like, I've noticed that when I sit down sometimes with 241 00:12:50,600 --> 00:12:53,959 Speaker 1: I have some friends who are Republicans and who are 242 00:12:53,960 --> 00:12:56,320 Speaker 1: fancy Republicans, and their favorite. 243 00:12:55,920 --> 00:12:59,360 Speaker 2: Thing to say to me is when will Biden drop out? 244 00:13:00,080 --> 00:13:03,040 Speaker 1: New theory of the case is that they actually want 245 00:13:03,080 --> 00:13:07,880 Speaker 1: Trump to drop out, but they can't say it because 246 00:13:08,480 --> 00:13:11,079 Speaker 1: it's just they know they can you know that they 247 00:13:11,120 --> 00:13:12,840 Speaker 1: know he has such a handle on the base. 248 00:13:13,320 --> 00:13:15,560 Speaker 2: And so the mainstream. 249 00:13:15,120 --> 00:13:18,880 Speaker 1: Media has for the last couple of months just passionately 250 00:13:18,960 --> 00:13:21,760 Speaker 1: written all these pieces about how Biden has to drop out. 251 00:13:22,480 --> 00:13:24,880 Speaker 1: And I actually think that this is like some kind 252 00:13:24,920 --> 00:13:29,400 Speaker 1: of counter transference transference Freudian Michigan. 253 00:13:30,200 --> 00:13:30,959 Speaker 2: Am I crazy? 254 00:13:31,160 --> 00:13:34,200 Speaker 4: Yes, I really tend to stick to the to the 255 00:13:34,280 --> 00:13:38,080 Speaker 4: patient experience when it comes to psychoanalysis, So I can't. 256 00:13:38,080 --> 00:13:39,760 Speaker 4: You know, it's a little hard for me to get 257 00:13:39,800 --> 00:13:41,840 Speaker 4: on the other side of a couch on that. But 258 00:13:41,880 --> 00:13:44,680 Speaker 4: it couldn't be that presidential nominees don't drop out. That's 259 00:13:44,720 --> 00:13:46,240 Speaker 4: kind of a that's a that's a kind of a 260 00:13:46,280 --> 00:13:49,920 Speaker 4: hard and fast thing. Well, presidents don't drop out. I mean, 261 00:13:50,240 --> 00:13:51,679 Speaker 4: you know, he is the incumbent. 262 00:13:51,960 --> 00:13:55,840 Speaker 1: You have these you know, while he's old, right, that's 263 00:13:55,920 --> 00:13:56,640 Speaker 1: the theory of the case. 264 00:13:56,679 --> 00:14:00,520 Speaker 2: He's old, and he doesn't pull well versus like I do. 265 00:14:00,520 --> 00:14:03,800 Speaker 1: One. Criminal accounts, like the civil cases that you know 266 00:14:03,960 --> 00:14:06,480 Speaker 1: in and out of courtrooms, can't raise money. 267 00:14:07,000 --> 00:14:09,240 Speaker 2: It strikes me that, like, you know, if you had 268 00:14:09,280 --> 00:14:10,000 Speaker 2: to pick. 269 00:14:10,080 --> 00:14:14,480 Speaker 1: Your guy, you'd probably just want the guy who was 270 00:14:14,520 --> 00:14:15,480 Speaker 1: the old. 271 00:14:15,640 --> 00:14:18,720 Speaker 4: You know, you'd think these are to kind of grant 272 00:14:18,720 --> 00:14:22,720 Speaker 4: the case. These are both fairly unprecedented. We've never had 273 00:14:22,760 --> 00:14:24,120 Speaker 4: anyone Well, it's. 274 00:14:23,960 --> 00:14:26,680 Speaker 1: An incumbent against an incumbent a certain way. 275 00:14:27,320 --> 00:14:28,400 Speaker 3: That is yet another thing. 276 00:14:28,440 --> 00:14:31,280 Speaker 4: We've never had anybody, you know, even close to as 277 00:14:31,320 --> 00:14:34,440 Speaker 4: old as Biden, except for Biden right four years ago, 278 00:14:34,600 --> 00:14:36,240 Speaker 4: who was only four years younger. 279 00:14:36,720 --> 00:14:37,520 Speaker 3: That is true. 280 00:14:37,760 --> 00:14:40,120 Speaker 4: If you were going to talk about by any kind 281 00:14:40,200 --> 00:14:43,920 Speaker 4: of historical standards, even though there is no precedent being 282 00:14:44,120 --> 00:14:48,520 Speaker 4: kind of bound over for trial in four different jurisdictions, 283 00:14:48,920 --> 00:14:50,360 Speaker 4: that would be the kind of thing that you would 284 00:14:50,360 --> 00:14:53,640 Speaker 4: say that even though nominees don't drop out, that would 285 00:14:53,800 --> 00:14:55,160 Speaker 4: be the kind of thing that might. 286 00:14:55,000 --> 00:14:57,040 Speaker 3: Get you to the first. But it doesn't. 287 00:14:57,320 --> 00:15:00,240 Speaker 4: And you know you made this point before a out 288 00:15:00,560 --> 00:15:04,240 Speaker 4: Biden's poll numbers. The race is basically tied, with a 289 00:15:04,440 --> 00:15:07,480 Speaker 4: very slight advantage to Trump at the moment. 290 00:15:07,720 --> 00:15:10,680 Speaker 3: These are early polls. He's one or two points back 291 00:15:10,680 --> 00:15:14,400 Speaker 3: in averages, but certainly Democrats would prefer to be one 292 00:15:14,440 --> 00:15:16,600 Speaker 3: or two points up or really five points up. These 293 00:15:16,600 --> 00:15:17,440 Speaker 3: things are true. 294 00:15:17,520 --> 00:15:19,600 Speaker 4: I mean, I think a huge amount of the age 295 00:15:19,760 --> 00:15:24,920 Speaker 4: thing is people are terrified that Biden is not clearly winning, 296 00:15:25,000 --> 00:15:26,920 Speaker 4: which he is not to the extent that the current 297 00:15:26,960 --> 00:15:30,080 Speaker 4: polls tell us something. And you want to find a 298 00:15:30,160 --> 00:15:34,480 Speaker 4: reason for that that it's not because Trump is actually 299 00:15:34,600 --> 00:15:37,600 Speaker 4: popular and could win, and so everything has sort of 300 00:15:37,680 --> 00:15:40,560 Speaker 4: focused on Biden's age. That's that's kind of that's the 301 00:15:40,600 --> 00:15:43,480 Speaker 4: whole thing. Now, Having said that, Biden is not a 302 00:15:43,600 --> 00:15:45,760 Speaker 4: vital looking guy, he's you know, he looks old. 303 00:15:45,800 --> 00:15:46,120 Speaker 3: He does. 304 00:15:46,520 --> 00:15:49,480 Speaker 4: There's there's no getting around that. He seems to have 305 00:15:49,520 --> 00:15:51,800 Speaker 4: some sort of you know, arthritis stuff in his back. 306 00:15:51,880 --> 00:15:54,400 Speaker 4: So it's gate climp stiff, he broke his foot early 307 00:15:54,440 --> 00:15:55,120 Speaker 4: in his presence, and. 308 00:15:55,120 --> 00:15:56,280 Speaker 3: Blah blah blah blah blah. 309 00:15:56,320 --> 00:15:59,880 Speaker 4: But I mean, I guarantee you Biden is up five points, 310 00:16:00,000 --> 00:16:03,320 Speaker 4: and you'd think a like Hull Hog Dark Brandon, right 311 00:16:03,760 --> 00:16:05,720 Speaker 4: are kind of you know, some kind of like you know, 312 00:16:06,320 --> 00:16:10,280 Speaker 4: mid late era Clint Eastwood, like old dude kicking everybody's 313 00:16:10,360 --> 00:16:13,640 Speaker 4: ass memes. People would be a fine with it if 314 00:16:13,640 --> 00:16:15,600 Speaker 4: they were confident he was going to win. But they're 315 00:16:15,640 --> 00:16:18,720 Speaker 4: freaking out. And the freak out is understandable. It may 316 00:16:18,760 --> 00:16:20,760 Speaker 4: not win, it's and that's terrifying it. 317 00:16:21,240 --> 00:16:24,800 Speaker 1: But I mean, you know, this time in twenty sixteen, 318 00:16:25,120 --> 00:16:27,800 Speaker 1: right we knew Hillary Clinton would win. 319 00:16:28,320 --> 00:16:33,240 Speaker 4: Well, we absolutely did. And I'll end on this point. 320 00:16:33,640 --> 00:16:37,840 Speaker 4: The single biggest determinant of whether you win a presidential 321 00:16:37,880 --> 00:16:39,920 Speaker 4: election is whether you're the incumbent. 322 00:16:40,160 --> 00:16:42,600 Speaker 5: It's a huge, huge factor. 323 00:16:43,160 --> 00:16:47,400 Speaker 4: It always has been. Obviously, occasionally the incumbent doesn't win, 324 00:16:47,520 --> 00:16:50,160 Speaker 4: but it's rare, and that's kind of one of the 325 00:16:50,200 --> 00:16:54,120 Speaker 4: reasons why the idea that in this kind of election 326 00:16:54,160 --> 00:16:56,920 Speaker 4: you'd say, well, let's get rid of the incumbent is 327 00:16:57,200 --> 00:16:59,800 Speaker 4: in addition to it not it is not going to happen. 328 00:17:00,080 --> 00:17:02,640 Speaker 4: It's just insane, even if you could make it happen. 329 00:17:02,840 --> 00:17:05,400 Speaker 4: And again that's not even a matter of like being 330 00:17:05,440 --> 00:17:09,200 Speaker 4: a Biden fan. That is one of the most reliable 331 00:17:09,320 --> 00:17:11,240 Speaker 4: facts about presidential politics. 332 00:17:11,320 --> 00:17:15,080 Speaker 1: Yeah, right, and clearly incumbency is an enormous advantage. 333 00:17:15,280 --> 00:17:18,680 Speaker 2: Thank you so much, Thank you. 334 00:17:18,680 --> 00:17:19,800 Speaker 3: Josh, thank you. 335 00:17:24,640 --> 00:17:27,399 Speaker 1: Did you know Rick Wilson and I are bringing together 336 00:17:27,640 --> 00:17:31,439 Speaker 1: some friends for a general election kickoff party at City 337 00:17:31,520 --> 00:17:35,000 Speaker 1: Winery in New York on March sixth. We're going to 338 00:17:35,000 --> 00:17:40,040 Speaker 1: be chatting right after Super Tuesday about what's going on, 339 00:17:40,320 --> 00:17:44,080 Speaker 1: and it is going to probably be the one fun night. 340 00:17:44,520 --> 00:17:48,040 Speaker 2: For the next eighty days. 341 00:17:49,160 --> 00:17:51,600 Speaker 1: If you're in the New York area, please come by 342 00:17:51,640 --> 00:17:54,160 Speaker 1: and join us. You can go to City Winery's website 343 00:17:54,200 --> 00:17:58,679 Speaker 1: and grab a ticket. John Avlon is a candidate for 344 00:17:58,800 --> 00:18:00,960 Speaker 1: Congress in New York's first district. 345 00:18:01,240 --> 00:18:03,280 Speaker 2: Welcome to Fast Politics. 346 00:18:02,800 --> 00:18:06,000 Speaker 3: John Avlon, Hey, Mollie. 347 00:18:05,600 --> 00:18:07,600 Speaker 2: We're really excited to have you. 348 00:18:07,600 --> 00:18:13,320 Speaker 1: You were an editor, you were an anchor, and now. 349 00:18:12,680 --> 00:18:14,639 Speaker 2: You are running for Congress. 350 00:18:14,920 --> 00:18:17,840 Speaker 3: Explain that's the truth. 351 00:18:18,000 --> 00:18:20,160 Speaker 5: I run it in New York's first district, which is eastern 352 00:18:20,200 --> 00:18:21,760 Speaker 5: Long Island, where I'm talking to you from today. 353 00:18:21,800 --> 00:18:24,320 Speaker 2: Of course, Wait, you actually live in the district. 354 00:18:24,920 --> 00:18:28,199 Speaker 5: Yeah, what a novel you no, you know, actually the 355 00:18:28,240 --> 00:18:30,800 Speaker 5: current Republican incumbent does not live in the district. He 356 00:18:31,119 --> 00:18:35,320 Speaker 5: can't vote for himself. That's Nick Loloda, right, Nick Loloda, 357 00:18:35,520 --> 00:18:36,920 Speaker 5: Trump hugging Nick Loda. 358 00:18:37,600 --> 00:18:38,399 Speaker 2: Yeah, he sucks. 359 00:18:38,560 --> 00:18:41,400 Speaker 5: This was a district in twenty twenty that Biden narrowly won, 360 00:18:41,600 --> 00:18:45,320 Speaker 5: and he has like just been a Trump flucky from 361 00:18:45,400 --> 00:18:48,280 Speaker 5: day one. He mocked Langford for the bipartisan border bill. 362 00:18:48,560 --> 00:18:51,200 Speaker 1: Let us take a moment here to talk about James Langford, 363 00:18:51,680 --> 00:18:57,320 Speaker 1: liberal communist cock, James Langford from the state of Oklahoma. 364 00:18:57,560 --> 00:18:58,040 Speaker 3: That's right. 365 00:18:58,440 --> 00:19:00,520 Speaker 5: Well, look, I mean it's very clear this has been 366 00:19:00,520 --> 00:19:03,160 Speaker 5: going on for a while, but by partisanship is considered 367 00:19:03,160 --> 00:19:06,440 Speaker 5: a firing offense inside Trump's Republican Party and I think 368 00:19:06,440 --> 00:19:09,919 Speaker 5: that's just one of the many, many, many ways you 369 00:19:10,000 --> 00:19:14,000 Speaker 5: see what contempt they have for functioning governance and a democracy. 370 00:19:14,359 --> 00:19:15,760 Speaker 5: And I think the reason there was a lot of 371 00:19:15,800 --> 00:19:18,800 Speaker 5: pick up with my announcement and I was frankly, happily 372 00:19:19,000 --> 00:19:21,680 Speaker 5: surprised by it. I mean, our launch video got over 373 00:19:21,800 --> 00:19:24,680 Speaker 5: two million views in the first few days. We've been 374 00:19:24,720 --> 00:19:27,520 Speaker 5: strong audigate shocking number of articles. I think people are 375 00:19:27,720 --> 00:19:30,760 Speaker 5: become used to members of Congress wanting to be on TV, 376 00:19:30,880 --> 00:19:33,320 Speaker 5: wanting to be on cable news, and not frankly doing 377 00:19:33,359 --> 00:19:35,960 Speaker 5: their jobs, which is solving problems for the American people. 378 00:19:36,119 --> 00:19:39,439 Speaker 5: But people are a lot less used to someone leaving 379 00:19:39,480 --> 00:19:42,360 Speaker 5: a chop in news and television news to go into 380 00:19:42,359 --> 00:19:46,159 Speaker 5: public cherp. I just felt compelled to do it. I 381 00:19:46,240 --> 00:19:48,520 Speaker 5: didn't want to tell my kids that I could have 382 00:19:48,600 --> 00:19:51,360 Speaker 5: done more when it mattered most for our democracy. And 383 00:19:51,400 --> 00:19:53,280 Speaker 5: that's how I really feel about this. I wrote a 384 00:19:53,320 --> 00:19:57,320 Speaker 5: file column for CNN about how, you know, I really 385 00:19:58,000 --> 00:20:00,600 Speaker 5: I'm very concerned that we're sort of sleep walking into 386 00:20:00,600 --> 00:20:03,600 Speaker 5: this selection, sleepwalking into a dictatorship, as Liz Cheney said, 387 00:20:03,760 --> 00:20:06,320 Speaker 5: And I felt that as much as I love c 388 00:20:06,480 --> 00:20:08,600 Speaker 5: IT ed and the work I was doing, there that 389 00:20:08,680 --> 00:20:12,439 Speaker 5: simply offering opinions on cable news wasn't enough. You know, 390 00:20:12,560 --> 00:20:15,720 Speaker 5: democracy depends on people showing up, and that this is 391 00:20:15,760 --> 00:20:17,520 Speaker 5: one of those times in our nation's history. And I'm 392 00:20:17,520 --> 00:20:20,680 Speaker 5: a presidential historian as well in my book writing where 393 00:20:20,920 --> 00:20:22,960 Speaker 5: say is it's got to step up and get off 394 00:20:23,000 --> 00:20:25,440 Speaker 5: the sidelines and get in the areta. And if there's 395 00:20:25,480 --> 00:20:27,840 Speaker 5: a chance to flip a seat, a swing seat in 396 00:20:27,880 --> 00:20:30,760 Speaker 5: New York, yeah, where I live, then let's go. Let's 397 00:20:30,840 --> 00:20:33,280 Speaker 5: do this. Let's do the hard thing because it's the 398 00:20:33,359 --> 00:20:35,760 Speaker 5: right thing, and we'll look back on challenging times with 399 00:20:35,800 --> 00:20:38,200 Speaker 5: pride if we all step up and build the broadest 400 00:20:38,240 --> 00:20:41,640 Speaker 5: possible coalition to defend democracy, defeat Donald Trump, and win 401 00:20:41,720 --> 00:20:45,520 Speaker 5: back Congress from his magaminions like Nickelodo who just aren't 402 00:20:45,520 --> 00:20:48,000 Speaker 5: even trying to solve problems for the American people anymore. 403 00:20:48,080 --> 00:20:50,159 Speaker 5: And so I think that's the opportunity the obligation of 404 00:20:50,200 --> 00:20:50,639 Speaker 5: this moment. 405 00:20:50,800 --> 00:20:55,760 Speaker 1: So let's talk about what your district looks like in 406 00:20:55,760 --> 00:20:58,040 Speaker 1: New York one. I mean, I think one of the 407 00:20:58,119 --> 00:21:01,720 Speaker 1: interesting things about these seats is they were really tight. 408 00:21:01,960 --> 00:21:04,439 Speaker 1: It did feel like there was a certain amount of 409 00:21:04,520 --> 00:21:08,160 Speaker 1: like sleepwalking, which is why Democrats lost all those seats. 410 00:21:08,359 --> 00:21:10,840 Speaker 5: Yeah, I mean, I think twenty twenty two in New 411 00:21:10,920 --> 00:21:13,600 Speaker 5: York was a bit of an outlier because the former 412 00:21:13,640 --> 00:21:16,520 Speaker 5: congress from this district, Lee Zelden, was running for governor, 413 00:21:16,560 --> 00:21:19,040 Speaker 5: and so I think there was a decision to contest 414 00:21:19,240 --> 00:21:22,879 Speaker 5: other seats more intensely. But look, candadate quality matters. You 415 00:21:22,920 --> 00:21:25,200 Speaker 5: need candidates to conspire the base, but also went over 416 00:21:25,359 --> 00:21:27,800 Speaker 5: independent voters, and I think this election, I think the 417 00:21:27,840 --> 00:21:30,200 Speaker 5: stakes could not be clear for the country, but also 418 00:21:30,320 --> 00:21:32,800 Speaker 5: this community. I mean for folks at home, and the 419 00:21:32,840 --> 00:21:36,439 Speaker 5: lines in New York are being redrawn as we speak. 420 00:21:36,560 --> 00:21:39,000 Speaker 5: This is all happening in very real time. But it's 421 00:21:39,040 --> 00:21:41,439 Speaker 5: long island, so there's only so much you can do. 422 00:21:41,640 --> 00:21:44,520 Speaker 5: It's an island. This is Montalk, the north and South 423 00:21:44,560 --> 00:21:47,720 Speaker 5: Forks and then north of four ninety five to Huntington. 424 00:21:47,760 --> 00:21:50,600 Speaker 5: So it's a really big district. It's a beautiful district. 425 00:21:50,760 --> 00:21:53,400 Speaker 5: It's a district was represented by Democrat Tim Bishop for 426 00:21:53,560 --> 00:21:56,359 Speaker 5: over a decade, then went to Lee Zelden. I was 427 00:21:56,400 --> 00:21:58,840 Speaker 5: never a big Lee Szeldon fan. He was one of 428 00:21:58,880 --> 00:22:01,560 Speaker 5: the one hundred and thirty seven hundred thirty nine Republicans 429 00:22:01,600 --> 00:22:03,720 Speaker 5: who voted to overturn the election after the attack on 430 00:22:03,720 --> 00:22:06,560 Speaker 5: our capital. But it goes back before that. When I 431 00:22:06,680 --> 00:22:08,920 Speaker 5: after I'd written the book wing Nuts, which is how 432 00:22:08,920 --> 00:22:11,960 Speaker 5: the lunatic for just hijacking America that unfortunately was the 433 00:22:12,080 --> 00:22:14,760 Speaker 5: side of things to come, I got a mailer from 434 00:22:14,840 --> 00:22:17,760 Speaker 5: him that said, it's not the first time he's served 435 00:22:17,800 --> 00:22:20,800 Speaker 5: behind enemy lines, referring to his constituents. Does that to 436 00:22:20,880 --> 00:22:23,720 Speaker 5: be here's a perfect example of everything that's wrong in 437 00:22:23,720 --> 00:22:26,119 Speaker 5: our politics that I've been writing about in columns and 438 00:22:26,200 --> 00:22:28,879 Speaker 5: the book WingNuts. This is before I became editor in chief, 439 00:22:29,160 --> 00:22:32,679 Speaker 5: and you know that just symbolizes everything that's wrong with 440 00:22:32,720 --> 00:22:34,879 Speaker 5: our politics. And so we got to break this fever 441 00:22:34,960 --> 00:22:36,679 Speaker 5: and then try to find a way to, you know, 442 00:22:37,040 --> 00:22:39,080 Speaker 5: reunite the nation and build a new kind of politics. 443 00:22:39,080 --> 00:22:40,920 Speaker 5: But you got to stand up to bullies, and you 444 00:22:41,000 --> 00:22:44,240 Speaker 5: got to stand up to Trump and remind people that 445 00:22:44,280 --> 00:22:48,240 Speaker 5: there is nothing remotely normal or acceptable about a presidential 446 00:22:48,240 --> 00:22:51,440 Speaker 5: candidate of a major party campaigning on the authoritarian platform 447 00:22:51,800 --> 00:22:54,920 Speaker 5: and praising dictators every day. If that's not wrong, nothing, 448 00:22:55,040 --> 00:22:58,040 Speaker 5: So this election offers us moral clarity and moral urgency, 449 00:22:58,359 --> 00:23:01,200 Speaker 5: and that's why Sleepwalking it shouldn't be on the menu. 450 00:23:01,359 --> 00:23:03,399 Speaker 5: We all got to straight in our civic backbones and 451 00:23:03,480 --> 00:23:05,320 Speaker 5: get in this fight right now. And part of my 452 00:23:05,320 --> 00:23:07,679 Speaker 5: message to Democrats here in the first district is is 453 00:23:07,720 --> 00:23:10,159 Speaker 5: that Democrats can't afford to lose this fight. You need 454 00:23:10,200 --> 00:23:12,919 Speaker 5: to put forward compelling candidate, but also it's going to 455 00:23:12,920 --> 00:23:15,000 Speaker 5: be one and lost on not just you know, bigot 456 00:23:15,040 --> 00:23:17,320 Speaker 5: picture issues like democracy in the trajectory of the twenty 457 00:23:17,359 --> 00:23:19,919 Speaker 5: first century, but also making people feel that government can 458 00:23:20,040 --> 00:23:22,560 Speaker 5: work again. And that's one of the insults of the 459 00:23:22,640 --> 00:23:25,560 Speaker 5: truck blockage of the border security bill. But it's also 460 00:23:25,880 --> 00:23:28,159 Speaker 5: making sure that you know you're dealing with, you know, 461 00:23:28,240 --> 00:23:30,920 Speaker 5: kitchen table issues that ef like middle class families who've 462 00:23:30,920 --> 00:23:33,600 Speaker 5: lost faith. It's not an accident to my mind that 463 00:23:33,680 --> 00:23:35,199 Speaker 5: we've seen the hollowing out of the middle of our 464 00:23:35,200 --> 00:23:37,480 Speaker 5: political center in America at the same time that middle 465 00:23:37,480 --> 00:23:39,399 Speaker 5: class families have been getting squeezed for so long, and 466 00:23:39,440 --> 00:23:41,719 Speaker 5: that's an opportunity for Democrats to deliver. I think Joe 467 00:23:41,760 --> 00:23:44,200 Speaker 5: Biden's done a good job out of the gate things 468 00:23:44,240 --> 00:23:46,600 Speaker 5: like infrastructure and the Chips hack, but there's more to come. 469 00:23:46,760 --> 00:23:47,280 Speaker 3: I want to. 470 00:23:47,280 --> 00:23:51,680 Speaker 1: Ask you as we're looking at this Laloda, the way 471 00:23:51,680 --> 00:23:55,359 Speaker 1: that this Congress has worked is that Republicans have, as 472 00:23:55,400 --> 00:23:58,840 Speaker 1: opposed to Nancy Pelosi, who was very focused on making 473 00:23:58,880 --> 00:24:02,760 Speaker 1: sure that her people didn't have to vote for insane 474 00:24:02,920 --> 00:24:05,719 Speaker 1: legislation that could be used against some when they were 475 00:24:05,800 --> 00:24:08,400 Speaker 1: running for re election, because you know, in the House, 476 00:24:08,440 --> 00:24:10,320 Speaker 1: you run every two years, and so you have to 477 00:24:10,440 --> 00:24:14,480 Speaker 1: constantly be answering for your votes, which I think one 478 00:24:14,520 --> 00:24:17,080 Speaker 1: of the things that I think this new sort of 479 00:24:17,280 --> 00:24:21,919 Speaker 1: Maga House of Representatives doesn't do is they don't really 480 00:24:21,960 --> 00:24:26,480 Speaker 1: do that. So Republicans have voted for things that are 481 00:24:27,040 --> 00:24:30,040 Speaker 1: like pretty much beyond the Pale two impeachments. 482 00:24:30,560 --> 00:24:32,760 Speaker 2: We're different crs. 483 00:24:32,960 --> 00:24:36,560 Speaker 1: They may have a shutdown now coming up again, Well 484 00:24:36,840 --> 00:24:39,159 Speaker 1: they shut down the government when they controlled all the 485 00:24:39,160 --> 00:24:41,560 Speaker 1: branches last time. This will be a but you know, 486 00:24:41,760 --> 00:24:43,879 Speaker 1: so there's a tiered CR. I mean, there's just a 487 00:24:43,960 --> 00:24:48,200 Speaker 1: lot of things that really seem like errors. You're out 488 00:24:48,200 --> 00:24:50,840 Speaker 1: on the ground talking to constituents. Do you feel like 489 00:24:50,960 --> 00:24:53,120 Speaker 1: people understand that and do you feel like. 490 00:24:53,080 --> 00:24:54,760 Speaker 2: Republicans are getting the blame for them. 491 00:24:55,080 --> 00:24:57,399 Speaker 5: I think that's starting to resonate with folks. I think 492 00:24:57,440 --> 00:24:59,159 Speaker 5: one of the points that Tom Swazi made in the 493 00:24:59,200 --> 00:25:02,440 Speaker 5: special election in the adjoining district of New York three, 494 00:25:02,480 --> 00:25:04,560 Speaker 5: which George Santos had represented before. 495 00:25:04,800 --> 00:25:08,120 Speaker 2: He can't say George Santos cereal fabulous is his first name. 496 00:25:08,480 --> 00:25:11,560 Speaker 5: I actually take issue with the word fabulous because it 497 00:25:11,640 --> 00:25:19,560 Speaker 5: sounds fancy liar, I mean just liar, serial, reflective liar, 498 00:25:19,960 --> 00:25:23,159 Speaker 5: George Santos, the personal Santos said, Look, Democrats need to 499 00:25:23,480 --> 00:25:27,000 Speaker 5: lean into issues people are concerned about, play offense on 500 00:25:27,119 --> 00:25:30,600 Speaker 5: messaging and policies on issues like crime and migrants, but 501 00:25:30,600 --> 00:25:33,480 Speaker 5: more importantly, make the case that Republicans aren't actually interested 502 00:25:33,480 --> 00:25:35,800 Speaker 5: in solving any of these problems. You know, the real 503 00:25:35,960 --> 00:25:40,240 Speaker 5: disruption of DC is resolving to solve problems and not 504 00:25:40,400 --> 00:25:44,160 Speaker 5: just demagogue them and fearmonger off them and fundraise off 505 00:25:44,160 --> 00:25:47,600 Speaker 5: them without ever taking the steps necessary to solve the problem. 506 00:25:47,760 --> 00:25:50,480 Speaker 5: And that's what Nickeloda is utterly complicit. He's part of 507 00:25:50,480 --> 00:25:53,600 Speaker 5: the problem. I mean this Maga crew I call magaminions 508 00:25:53,800 --> 00:25:56,240 Speaker 5: because they do whatever Trump says. It's sort of they've 509 00:25:56,280 --> 00:25:59,439 Speaker 5: already shown they're unable and or unwilling to govern in 510 00:25:59,440 --> 00:26:02,480 Speaker 5: the national and they're not interested in solving problems at all. 511 00:26:02,520 --> 00:26:04,280 Speaker 5: And I think the border security bill is a really 512 00:26:04,359 --> 00:26:08,000 Speaker 5: visceral example, for folks who are feeling concerned about immigration 513 00:26:08,080 --> 00:26:10,119 Speaker 5: to the state of the border, they just told you 514 00:26:10,480 --> 00:26:13,240 Speaker 5: they would rather have the issue and keep it a 515 00:26:13,280 --> 00:26:16,920 Speaker 5: problem than have bipartisanship work and solve the problem because 516 00:26:16,920 --> 00:26:19,200 Speaker 5: they would rather have the issue. How offensive is that? 517 00:26:19,440 --> 00:26:23,040 Speaker 5: What a profile in cynicism and cowardice in real time 518 00:26:23,320 --> 00:26:26,200 Speaker 5: that really resonates with folks. I just think that calling 519 00:26:26,200 --> 00:26:29,399 Speaker 5: that out really clearly, it really starts to restate with folks. 520 00:26:29,440 --> 00:26:32,640 Speaker 5: If they think bipartisanship is the problem, then they're part 521 00:26:32,680 --> 00:26:34,600 Speaker 5: of the problem. And what Nancy Pelosi did, and this 522 00:26:34,680 --> 00:26:36,800 Speaker 5: is one of my favorite Stacks stats about the first 523 00:26:36,800 --> 00:26:39,320 Speaker 5: two years of the Biden administration, when Nancy Pelosi and 524 00:26:39,320 --> 00:26:42,280 Speaker 5: Democrats had the narrowest margin imaginable in the Setate fifty 525 00:26:42,320 --> 00:26:44,960 Speaker 5: to fifty and Nancy Pelosi had a similarly narrow margin 526 00:26:45,040 --> 00:26:47,120 Speaker 5: in the House. That Republicans have been unable to govern 527 00:26:47,240 --> 00:26:51,600 Speaker 5: with Democrats pass over three hundred bipartisan bills, three hundred 528 00:26:51,680 --> 00:26:54,520 Speaker 5: bi partisan bills, including the infrastructure bill in the Chip Sack, 529 00:26:54,560 --> 00:26:55,960 Speaker 5: which will do more to help rebuild in the middle 530 00:26:55,960 --> 00:26:58,840 Speaker 5: class while competing with China than anything that's been done 531 00:26:59,200 --> 00:27:01,320 Speaker 5: in a half century. And that's just an example of 532 00:27:01,720 --> 00:27:05,720 Speaker 5: government works when democrats are doing it and making peel 533 00:27:05,760 --> 00:27:09,280 Speaker 5: over the handful of reasonable Republicans who were left. And 534 00:27:09,320 --> 00:27:11,360 Speaker 5: that's the only way you're going to avoid these sort 535 00:27:11,400 --> 00:27:15,280 Speaker 5: of constantly playing chicken with government shutdowns to score political points. 536 00:27:15,359 --> 00:27:18,200 Speaker 5: And the extremist agenda, particularly with regard to women reprick 537 00:27:18,240 --> 00:27:21,760 Speaker 5: women's reproductive freedom that we see this Congress advancing tied 538 00:27:21,800 --> 00:27:24,200 Speaker 5: up in knots over IVF and all sorts of other 539 00:27:24,400 --> 00:27:26,919 Speaker 5: things that just are an insults of basic not just 540 00:27:26,960 --> 00:27:29,560 Speaker 5: reproductive freedom, but individual freedom in a way that's supported 541 00:27:29,600 --> 00:27:32,119 Speaker 5: to backlash even red states, as we've seen in all 542 00:27:32,119 --> 00:27:34,879 Speaker 5: those specials. So I think they've woke into sleeping giant. 543 00:27:34,960 --> 00:27:36,639 Speaker 5: But we need to lean into that and build this 544 00:27:36,720 --> 00:27:39,720 Speaker 5: broadest possible coalition because democracy is on the line, not 545 00:27:39,840 --> 00:27:42,440 Speaker 5: on our watch. We can't let this in our watch. 546 00:27:42,760 --> 00:27:46,800 Speaker 1: You're not a democrat though, or become, but you weren't 547 00:27:46,840 --> 00:27:47,800 Speaker 1: always a democrat. 548 00:27:47,880 --> 00:27:50,639 Speaker 5: I was an independent, okay, like many journalists, you know. 549 00:27:50,720 --> 00:27:52,720 Speaker 5: I mean some journalists don't, as you know, register to 550 00:27:52,760 --> 00:27:55,119 Speaker 5: vote because they think that'll you know, give them a 551 00:27:55,200 --> 00:28:00,000 Speaker 5: rooting interest. I think that's an abdication of our citizenship. 552 00:28:00,359 --> 00:28:01,080 Speaker 2: But one of the. 553 00:28:01,040 --> 00:28:03,800 Speaker 1: Things I think is pretty interesting is that what you're 554 00:28:03,880 --> 00:28:09,200 Speaker 1: seeing here is that the Republican party that voted for 555 00:28:10,240 --> 00:28:13,159 Speaker 1: There are a lot of Republicans voted for Biden. And 556 00:28:13,240 --> 00:28:16,639 Speaker 1: it seems to me as if when we look at 557 00:28:16,640 --> 00:28:19,760 Speaker 1: those South Carolina numbers, I mean, these are our South 558 00:28:19,760 --> 00:28:24,719 Speaker 1: Carolina primary voters, right, so, pretty white, pretty religious, and 559 00:28:24,840 --> 00:28:27,439 Speaker 1: one in five of them are never Trump. So it 560 00:28:27,480 --> 00:28:31,320 Speaker 1: does seem to me like there's a pretty large swath 561 00:28:31,359 --> 00:28:34,959 Speaker 1: of people who are right for the Biden picking. 562 00:28:35,119 --> 00:28:36,840 Speaker 2: Can you talk about. 563 00:28:36,600 --> 00:28:40,040 Speaker 5: That one hundred percent? That's the opportunity of the election. 564 00:28:40,160 --> 00:28:42,800 Speaker 5: That's why I feel bullish about our chances come to 565 00:28:42,880 --> 00:28:45,800 Speaker 5: fall once people sort of shake themselves out of they're stupid. 566 00:28:45,880 --> 00:28:47,959 Speaker 5: The stakes are too high. I understand why people are 567 00:28:48,000 --> 00:28:51,040 Speaker 5: feeling exhausted by politics in the news, but that's part 568 00:28:51,080 --> 00:28:54,600 Speaker 5: of a cynical design. When Steve Bannon says that, you 569 00:28:54,640 --> 00:28:57,440 Speaker 5: know it talks infamously about the strategy to sort of 570 00:28:57,480 --> 00:29:00,280 Speaker 5: flood the zone with shit. What he's talking about is 571 00:29:00,320 --> 00:29:03,720 Speaker 5: trying to overwhelm and exhaust normal people and making them 572 00:29:03,720 --> 00:29:07,320 Speaker 5: think that politics and public service is fundamentally dirty and 573 00:29:07,400 --> 00:29:12,080 Speaker 5: dishonorable and dishonest, and that therefore seedes the ground to 574 00:29:12,160 --> 00:29:15,040 Speaker 5: those extremists and ideologues who don't mind waiting through shit 575 00:29:15,200 --> 00:29:17,280 Speaker 5: every day to do what they want even if they 576 00:29:17,280 --> 00:29:19,520 Speaker 5: can't cobble together a majority, which is why you see 577 00:29:19,560 --> 00:29:22,600 Speaker 5: such contempt from majoritary and democracy being expressed from Mike 578 00:29:22,680 --> 00:29:24,800 Speaker 5: Johnson on down. And I've written a lot of columns 579 00:29:24,800 --> 00:29:27,200 Speaker 5: about this. That's the larger opportunity here when I talk 580 00:29:27,240 --> 00:29:30,160 Speaker 5: about building the broadest possible coalition to defeat Donald Trump, 581 00:29:30,200 --> 00:29:33,400 Speaker 5: defend democracy. That's the opportunity. And you need candidates who 582 00:29:33,440 --> 00:29:35,760 Speaker 5: can connect with those of what's left of the reasonable 583 00:29:35,840 --> 00:29:38,800 Speaker 5: edge of Republicans who I respect, who can connect with 584 00:29:38,840 --> 00:29:42,160 Speaker 5: independent voters in a way that shows a real ability 585 00:29:42,160 --> 00:29:44,480 Speaker 5: to understand their perspective. And that's one of the things 586 00:29:44,480 --> 00:29:47,560 Speaker 5: that I can offer. This is not anything resembling a 587 00:29:47,560 --> 00:29:50,840 Speaker 5: normal election. This is all hands on deck, not a drill, 588 00:29:51,200 --> 00:29:54,080 Speaker 5: defend democracy. And I think we will be able to 589 00:29:54,160 --> 00:29:56,840 Speaker 5: pull together a broad coalition not only here in Suffolk 590 00:29:56,840 --> 00:29:59,960 Speaker 5: County but across the country because of exactly that dynamics. 591 00:30:00,280 --> 00:30:03,160 Speaker 5: But you need people who can communicate a compelling message 592 00:30:03,280 --> 00:30:05,640 Speaker 5: in a way that blows the doors off this what 593 00:30:05,760 --> 00:30:08,480 Speaker 5: about ism and false moral equivalence that lulls people back 594 00:30:08,520 --> 00:30:10,960 Speaker 5: to sleep, right exactly, And. 595 00:30:10,960 --> 00:30:13,440 Speaker 1: It does seem to me like you're in this district 596 00:30:13,480 --> 00:30:19,040 Speaker 1: that is is a very mixed district. Nasa County is 597 00:30:19,280 --> 00:30:22,080 Speaker 1: known to be or not. You don't go all the 598 00:30:22,080 --> 00:30:24,360 Speaker 1: way up to Nassa County, but all Suffolk, right, But 599 00:30:24,440 --> 00:30:26,800 Speaker 1: Suffolk is known to be you know, parts are very 600 00:30:26,840 --> 00:30:29,480 Speaker 1: red and maybe the liberals there are not quite as 601 00:30:29,560 --> 00:30:33,080 Speaker 1: liberal as a sort of city liberals, so to speak. 602 00:30:33,120 --> 00:30:34,400 Speaker 2: So can you talk about that? 603 00:30:34,600 --> 00:30:36,960 Speaker 5: Well, look, I think that's part of the opportunity and 604 00:30:37,000 --> 00:30:38,720 Speaker 5: that's what makes this race. One of the things that 605 00:30:38,760 --> 00:30:42,960 Speaker 5: makes this race so exciting. Look, we need more swing districts. 606 00:30:43,200 --> 00:30:46,240 Speaker 5: Swing districts are healthy. They are not enough of them 607 00:30:46,320 --> 00:30:48,800 Speaker 5: because of the rig system of redistricting, and the most 608 00:30:48,800 --> 00:30:51,760 Speaker 5: egregious examples are always predictably in the red states where 609 00:30:51,800 --> 00:30:56,040 Speaker 5: they representative elections create representative results. And so I relish 610 00:30:56,120 --> 00:30:59,080 Speaker 5: the chance to run at a district that's genuinely competitive 611 00:30:59,160 --> 00:31:01,240 Speaker 5: and the current line and this is all happening in 612 00:31:01,280 --> 00:31:03,280 Speaker 5: real time, as I said, in New York, but are 613 00:31:03,640 --> 00:31:08,360 Speaker 5: slightly Republican. Even though Biden won the pre existing district 614 00:31:08,440 --> 00:31:10,800 Speaker 5: in twenty twenty narrowly one of the narest margins in 615 00:31:10,840 --> 00:31:14,400 Speaker 5: the country. That means you need to persuade people. That's 616 00:31:14,440 --> 00:31:17,160 Speaker 5: what democracy is supposed to be about, reasoning together from 617 00:31:17,200 --> 00:31:19,840 Speaker 5: a common set of facts and finding common ground and 618 00:31:19,880 --> 00:31:22,840 Speaker 5: then building on it. You know, swing districts, competitive districts 619 00:31:22,880 --> 00:31:25,840 Speaker 5: are healthy for democracy. The problem comes, as we see 620 00:31:25,880 --> 00:31:28,800 Speaker 5: over and over again in covering politics and Congress, that 621 00:31:29,120 --> 00:31:31,480 Speaker 5: you know, folks have lifetime employment unless they lose the 622 00:31:31,520 --> 00:31:33,560 Speaker 5: close parts of the primary, so it forces them to 623 00:31:33,680 --> 00:31:36,840 Speaker 5: the extremes, and fear and greed drives all their decisions, 624 00:31:36,880 --> 00:31:38,840 Speaker 5: which is what Donald Trump drives a truck through. I 625 00:31:38,920 --> 00:31:42,280 Speaker 5: think having a competitive general election is the most healthy 626 00:31:42,320 --> 00:31:45,520 Speaker 5: expression of a vibrant democracy because then we need to 627 00:31:45,560 --> 00:31:47,760 Speaker 5: reach out beyond the base and win over the reasonable 628 00:31:47,840 --> 00:31:50,560 Speaker 5: edge of the opposition and win over independence. We need 629 00:31:50,600 --> 00:31:53,360 Speaker 5: to engage in persuasion again, and that's the heart of 630 00:31:53,360 --> 00:31:55,520 Speaker 5: democracy at the end of the day. And the problem, 631 00:31:55,560 --> 00:31:58,120 Speaker 5: one of the many problems with our era with so 632 00:31:58,200 --> 00:32:02,120 Speaker 5: much disinformation and misinformation, which I confronted on my reality 633 00:32:02,160 --> 00:32:05,000 Speaker 5: check segments on CNN for a long time. Try to 634 00:32:05,000 --> 00:32:08,280 Speaker 5: restore offense of common facts while fighting the good fight. Look, 635 00:32:08,320 --> 00:32:12,600 Speaker 5: the mere fact that Donald Trump is perpetuating the adoption 636 00:32:12,760 --> 00:32:15,680 Speaker 5: of an election lie as a litmus test for party 637 00:32:15,680 --> 00:32:19,160 Speaker 5: loyalty shows how deep the rot has got. And competitive 638 00:32:19,160 --> 00:32:22,200 Speaker 5: swing districts offered the best chance to focus people on 639 00:32:22,240 --> 00:32:24,720 Speaker 5: common facts and reason together through persuasion. And that's why 640 00:32:24,760 --> 00:32:27,880 Speaker 5: someone like you, who's far too far right for this district, 641 00:32:27,920 --> 00:32:30,280 Speaker 5: like Nickeloda, is right for the picking with the right 642 00:32:30,360 --> 00:32:32,120 Speaker 5: general election candidate. And I believe I can be that 643 00:32:32,160 --> 00:32:33,520 Speaker 5: candidate if I win this promery. 644 00:32:33,720 --> 00:32:35,720 Speaker 2: Now tell me about your primary. 645 00:32:36,120 --> 00:32:39,280 Speaker 5: So look, I mean I left CNN is two three 646 00:32:39,280 --> 00:32:43,000 Speaker 5: weeks ago. The leading candidate previously was the twenty twenty 647 00:32:43,040 --> 00:32:45,760 Speaker 5: nominee n In Nancy Gore. A number of candidates I've 648 00:32:45,840 --> 00:32:48,400 Speaker 5: dropped out or may drop out since I got in 649 00:32:48,400 --> 00:32:51,480 Speaker 5: the race because I disrupted the calculus. And it's not 650 00:32:51,520 --> 00:32:54,360 Speaker 5: an accident that the day I got in, the National 651 00:32:54,400 --> 00:32:58,000 Speaker 5: Republican Congressional Committee immediately attacking they hadn't done that for 652 00:32:58,040 --> 00:33:00,320 Speaker 5: any of the other candidates because they frankly thought they 653 00:33:00,520 --> 00:33:02,680 Speaker 5: wouldn't have to contest this race. I have a lot 654 00:33:02,720 --> 00:33:05,240 Speaker 5: of respect for anyone who get you know, gets in 655 00:33:05,280 --> 00:33:07,880 Speaker 5: the arena, especially now, because it's fascinating to see politics 656 00:33:07,960 --> 00:33:11,200 Speaker 5: from this perspective to great education, and I find it 657 00:33:11,240 --> 00:33:14,080 Speaker 5: really invigorating because it's deeply purposeful. The tail of the 658 00:33:14,120 --> 00:33:16,600 Speaker 5: tape is Nancy Goreoff was the nominee in twenty twenty. 659 00:33:16,800 --> 00:33:19,840 Speaker 5: I turn out high intensity election year. She spent eight 660 00:33:19,880 --> 00:33:22,920 Speaker 5: million dollars and she lost by double digits. That's difficult 661 00:33:23,120 --> 00:33:25,720 Speaker 5: to make a case that we should rerun that play. Ultimately, 662 00:33:25,760 --> 00:33:28,040 Speaker 5: it'll be up to Democratic voters. But I think most 663 00:33:28,080 --> 00:33:30,640 Speaker 5: importantly Democrats want to win. They want to win here, 664 00:33:30,680 --> 00:33:33,360 Speaker 5: they want to win across the country. There's good people 665 00:33:33,400 --> 00:33:35,200 Speaker 5: in the race. There's a two term state senator named 666 00:33:35,240 --> 00:33:37,640 Speaker 5: Jimmy Goren. You know, I think the mere fact this race, 667 00:33:37,680 --> 00:33:41,400 Speaker 5: which is a swing district by any mathematical definition, was 668 00:33:41,440 --> 00:33:43,760 Speaker 5: in danger of not being seriously contested, and of course 669 00:33:43,800 --> 00:33:46,440 Speaker 5: that has a depressive effect on local enthusiasts. And the 670 00:33:46,440 --> 00:33:48,360 Speaker 5: second I got in the race, you know, I got 671 00:33:48,360 --> 00:33:51,120 Speaker 5: win that. You know, Republicans might be try to start 672 00:33:51,160 --> 00:33:53,320 Speaker 5: a super pack against me, like they're talking about me. 673 00:33:53,360 --> 00:33:56,000 Speaker 5: They're scared I'm in this race, which is a great sign. 674 00:33:56,200 --> 00:33:58,760 Speaker 5: Folks in the primary will try to attack me from 675 00:33:58,800 --> 00:34:01,600 Speaker 5: the left, and well, the right is attacking me, you know, 676 00:34:01,760 --> 00:34:05,680 Speaker 5: is a radical liberal, which is remotely credible because I've 677 00:34:05,720 --> 00:34:08,800 Speaker 5: devoted most of my career to warning about the dangers 678 00:34:08,840 --> 00:34:12,319 Speaker 5: of hyperpartisanship and polarization and trying to advocate solutions that 679 00:34:12,400 --> 00:34:15,239 Speaker 5: can reunite us as a nation. So I mean, bring 680 00:34:15,320 --> 00:34:17,120 Speaker 5: it on, but I think the mere fact that they're 681 00:34:17,160 --> 00:34:19,000 Speaker 5: afraid that I've gotten in the race is a sad 682 00:34:19,040 --> 00:34:19,520 Speaker 5: of strength. 683 00:34:19,640 --> 00:34:23,040 Speaker 1: Thank you so much, John, really great, looking forward to 684 00:34:23,200 --> 00:34:24,560 Speaker 1: seeing more of you. 685 00:34:24,880 --> 00:34:28,960 Speaker 5: Thank you. You are awesome. I appreciate you and what 686 00:34:29,040 --> 00:34:29,319 Speaker 5: you do. 687 00:34:31,280 --> 00:34:35,320 Speaker 1: Daniel Lurie is a candidate for mayor in San Francisco. 688 00:34:36,000 --> 00:34:38,760 Speaker 1: Welcome too Fast Politics, Daniel. 689 00:34:39,120 --> 00:34:40,600 Speaker 3: Thank you, Molly. It's great to be here. 690 00:34:40,880 --> 00:34:46,120 Speaker 1: So I wanted you to come on because of what 691 00:34:46,160 --> 00:34:49,480 Speaker 1: you're doing, which I think is super interesting. So give 692 00:34:49,600 --> 00:34:53,279 Speaker 1: us this sort of ten thousand foot view on what 693 00:34:53,320 --> 00:34:53,840 Speaker 1: you're doing. 694 00:34:54,000 --> 00:34:56,480 Speaker 3: I'm running for mayor of San Francisco because I love 695 00:34:56,640 --> 00:34:59,919 Speaker 3: this town. I was born and raised here, my wife 696 00:35:00,080 --> 00:35:03,919 Speaker 3: and I are raising two young children here, and I've 697 00:35:03,960 --> 00:35:06,520 Speaker 3: always thought that San Francisco is the best city in 698 00:35:06,560 --> 00:35:09,359 Speaker 3: the world. No offense to New York, but I have 699 00:35:09,440 --> 00:35:11,760 Speaker 3: to be honest, the direction we're headed, I'm worried about 700 00:35:12,000 --> 00:35:14,839 Speaker 3: my friend's children and all of our children not having 701 00:35:14,880 --> 00:35:17,120 Speaker 3: that same sense of pride in San Francisco. You all 702 00:35:17,239 --> 00:35:20,319 Speaker 3: hear the news in the direction we're he leaves me 703 00:35:20,440 --> 00:35:24,000 Speaker 3: really concerned. And so I have a track record of 704 00:35:24,000 --> 00:35:27,120 Speaker 3: getting big things done, bringing diverse groups of people together 705 00:35:27,320 --> 00:35:30,680 Speaker 3: on behalf of San Franciscans and actually the whole Bay Area, 706 00:35:31,000 --> 00:35:33,759 Speaker 3: and I know I have what it takes to lead 707 00:35:33,800 --> 00:35:34,280 Speaker 3: this city. 708 00:35:34,560 --> 00:35:37,560 Speaker 1: So explain to us a little bit about your Democrat 709 00:35:37,880 --> 00:35:44,160 Speaker 1: and you are primary the sittying mayor, Explain to us. 710 00:35:45,200 --> 00:35:48,279 Speaker 3: What you're thinking was, it's not a primary, it's like 711 00:35:48,360 --> 00:35:51,840 Speaker 3: your election. It's ranked choice voting. It all happens in November, 712 00:35:51,880 --> 00:35:55,040 Speaker 3: on the same day as the presidential something. Our election 713 00:35:55,120 --> 00:35:57,520 Speaker 3: actually was moved it was supposed to be last year, 714 00:35:57,560 --> 00:35:59,480 Speaker 3: and so we're going to have the greatest turnout in 715 00:35:59,520 --> 00:36:02,440 Speaker 3: our cities history, probably form There's a lot of people 716 00:36:02,480 --> 00:36:06,319 Speaker 3: running like real candidates. Right now. We have three real candidates, 717 00:36:06,320 --> 00:36:09,760 Speaker 3: maybe one more jumping in, and everyone sees the writing 718 00:36:09,800 --> 00:36:11,960 Speaker 3: on the wall that we have a mayor that has 719 00:36:12,080 --> 00:36:14,560 Speaker 3: just not delivered, you know, no personal offense to her 720 00:36:14,960 --> 00:36:16,800 Speaker 3: she is not worked for our city. 721 00:36:17,200 --> 00:36:19,400 Speaker 1: One of the things I hear about San Francisco is 722 00:36:19,440 --> 00:36:23,040 Speaker 1: the sort of Republicans have said the city is, you know, 723 00:36:23,080 --> 00:36:25,520 Speaker 1: it's one of their favorite cities to pick on. I mean, 724 00:36:25,640 --> 00:36:28,960 Speaker 1: we're New York, We're close behind. But one of the 725 00:36:28,960 --> 00:36:33,360 Speaker 1: things that conservatives the Rupert Murdock industrial complex like to 726 00:36:33,440 --> 00:36:36,600 Speaker 1: say about San Francisco is that it has you know, 727 00:36:36,719 --> 00:36:39,239 Speaker 1: out of control drug use and crime. And I mean, 728 00:36:39,520 --> 00:36:43,759 Speaker 1: is that true? And if it is true, why is that? 729 00:36:44,000 --> 00:36:46,600 Speaker 1: And just sort of give us a few minutes on crime. 730 00:36:46,920 --> 00:36:48,600 Speaker 1: We have problems in parts of our city. 731 00:36:48,680 --> 00:36:51,680 Speaker 3: Our downtown core is being hollowed out if you walk 732 00:36:51,719 --> 00:36:54,840 Speaker 3: through the Tenderloine or Soma. We have open air drug 733 00:36:54,920 --> 00:36:58,560 Speaker 3: markets that are crazy. The media, though, doesn't want to 734 00:36:58,600 --> 00:37:01,440 Speaker 3: show you some of our neighborhoo that are thriving. So 735 00:37:01,480 --> 00:37:03,600 Speaker 3: we have a lot of good things happening, and it's 736 00:37:03,640 --> 00:37:05,759 Speaker 3: easy to pick up on a number of the bad 737 00:37:05,760 --> 00:37:08,640 Speaker 3: things that are happening. So, as with anything, the truth 738 00:37:08,719 --> 00:37:12,360 Speaker 3: is somewhere in between. But we've been very lax on 739 00:37:12,920 --> 00:37:16,120 Speaker 3: drug dealers for a ver long time. And I came 740 00:37:16,120 --> 00:37:20,160 Speaker 3: out with a proposal after a first time arrest for 741 00:37:20,280 --> 00:37:24,080 Speaker 3: a drug dealer selling fentanyl which killed over eight hundred 742 00:37:24,160 --> 00:37:27,040 Speaker 3: people in our streets last year, Malik. Eight hundred people 743 00:37:27,080 --> 00:37:30,920 Speaker 3: died of fentanyl overdoses last year in San Francisco, and 744 00:37:31,000 --> 00:37:33,799 Speaker 3: we need to take it more seriously. We need the 745 00:37:33,920 --> 00:37:36,799 Speaker 3: DA and the judges to hold people accountable in a 746 00:37:36,840 --> 00:37:39,799 Speaker 3: more serious way. So let's put ankle monitors on first 747 00:37:39,840 --> 00:37:42,520 Speaker 3: time drug dealers who are arrested. Let's make sure they 748 00:37:42,560 --> 00:37:45,399 Speaker 3: have stay away orders and search conditions. I've put out 749 00:37:45,440 --> 00:37:48,600 Speaker 3: the toughest tough on crime in terms of drug dealers 750 00:37:48,760 --> 00:37:51,960 Speaker 3: proposal out of any candidate in this race. And we 751 00:37:52,080 --> 00:37:55,040 Speaker 3: have to send a message to everyone in this country 752 00:37:55,040 --> 00:37:56,640 Speaker 3: and around the world that you don't come to San 753 00:37:56,680 --> 00:37:59,680 Speaker 3: Francisco to deal drugs, or to do drugs, or to 754 00:37:59,680 --> 00:38:00,760 Speaker 3: sleep on our streets. 755 00:38:01,080 --> 00:38:04,239 Speaker 1: One of the things that makes San Francisco a hard 756 00:38:04,280 --> 00:38:07,520 Speaker 1: city to govern, just like Los Angeles, is that the 757 00:38:07,560 --> 00:38:10,239 Speaker 1: city council has a lot of power, right I mean, 758 00:38:10,360 --> 00:38:12,120 Speaker 1: is that do you have that similar dynamic. 759 00:38:12,480 --> 00:38:15,879 Speaker 3: We have politicians here that love to make excuses, they 760 00:38:15,920 --> 00:38:18,759 Speaker 3: love to fingerpoint. I'm running against a bunch of insiders 761 00:38:18,800 --> 00:38:21,840 Speaker 3: that have built up a system where no one is 762 00:38:21,880 --> 00:38:25,680 Speaker 3: held accountable here. It's a board of supervisors, it's city 763 00:38:25,719 --> 00:38:28,680 Speaker 3: council bes where a city and a county. We have 764 00:38:28,719 --> 00:38:32,319 Speaker 3: eleven supervisors. They run just in their districts and so 765 00:38:32,360 --> 00:38:35,640 Speaker 3: they are not thinking city wide as you would hope 766 00:38:35,640 --> 00:38:37,800 Speaker 3: that they would. But the mayor has a lot of power. 767 00:38:38,040 --> 00:38:40,719 Speaker 3: You put a fourteen point six billion dollar budget on 768 00:38:40,760 --> 00:38:43,600 Speaker 3: the table and the board of supervisors fights over point 769 00:38:43,640 --> 00:38:49,800 Speaker 3: two percent. This mayor is two district attorneys, four supervisors, 770 00:38:50,200 --> 00:38:53,600 Speaker 3: three Board of ad members, a city attorney, of public 771 00:38:53,680 --> 00:38:56,480 Speaker 3: utilities head. No one can tell me that the mayor 772 00:38:56,520 --> 00:38:58,839 Speaker 3: of San Francisco doesn't have a lot of power. Having 773 00:38:58,880 --> 00:39:02,960 Speaker 3: said that, Molly need charter reform and we need commission reform. 774 00:39:03,000 --> 00:39:06,680 Speaker 3: We have one hundred and thirty plus commissions, double with 775 00:39:06,880 --> 00:39:09,759 Speaker 3: any other city in the state has, and it's insane. 776 00:39:09,880 --> 00:39:13,359 Speaker 3: But that's how these elected officials want it. They want 777 00:39:13,360 --> 00:39:16,120 Speaker 3: it so that they don't have to accept responsibility. I 778 00:39:16,160 --> 00:39:19,319 Speaker 3: still have not heard the mayor or or a supervisor say, 779 00:39:19,400 --> 00:39:22,960 Speaker 3: when something's gone wrong wrong in our city, oh, that's 780 00:39:23,360 --> 00:39:26,480 Speaker 3: on me. It's always a fingerpointing game, Molly. You see 781 00:39:26,560 --> 00:39:30,560 Speaker 3: this everywhere, but it's really really rotten here in San 782 00:39:30,560 --> 00:39:33,839 Speaker 3: Francisco and That's why we need an outsider to come 783 00:39:33,880 --> 00:39:35,520 Speaker 3: in and fix this broken system. 784 00:39:35,840 --> 00:39:39,680 Speaker 1: I'm thinking about, like the sort of successful example of 785 00:39:39,680 --> 00:39:44,640 Speaker 1: this in New York might be again, someone where you 786 00:39:44,719 --> 00:39:47,800 Speaker 1: sort of are able to address things. So I'm curious, 787 00:39:48,200 --> 00:39:52,520 Speaker 1: like this is also partially a problem of what crimes 788 00:39:52,520 --> 00:39:53,720 Speaker 1: are being prosecuted. 789 00:39:54,360 --> 00:39:56,560 Speaker 3: It's a management problem, it really is. 790 00:39:56,840 --> 00:39:59,719 Speaker 2: But can the mayor influence like under it. 791 00:40:00,880 --> 00:40:02,920 Speaker 3: One hundred percent? And I you know, one of the 792 00:40:03,000 --> 00:40:05,799 Speaker 3: role models I have is Mayor Bloomberg. You know, I'm 793 00:40:05,840 --> 00:40:08,799 Speaker 3: talking to former members of his administration that helped him 794 00:40:08,880 --> 00:40:12,440 Speaker 3: turn around New York, helped him get through the economic 795 00:40:12,480 --> 00:40:16,080 Speaker 3: crisis of two thousand and eight. You can manage this 796 00:40:16,200 --> 00:40:18,760 Speaker 3: city once again, I said it before, I'll say it again. 797 00:40:18,800 --> 00:40:22,120 Speaker 3: You need commission reform and you need charter reform to 798 00:40:22,160 --> 00:40:25,120 Speaker 3: make sure that these excuses are taken out. But you 799 00:40:25,160 --> 00:40:27,560 Speaker 3: got to hold people accountable. You've got a whole department 800 00:40:27,600 --> 00:40:30,400 Speaker 3: heads accountable. They currently are not being held accountable. They 801 00:40:30,400 --> 00:40:33,440 Speaker 3: all run their own little fectoms. The mayor's not setting 802 00:40:33,520 --> 00:40:36,359 Speaker 3: the tone from the top. You know, we go after 803 00:40:36,680 --> 00:40:39,719 Speaker 3: nonprofits all the time because we have allied control spending 804 00:40:40,040 --> 00:40:42,920 Speaker 3: on nonprofits who are not being held accountable. We're not 805 00:40:43,040 --> 00:40:46,880 Speaker 3: measuring their results, which I did at tipping point. We 806 00:40:46,960 --> 00:40:50,080 Speaker 3: held our groups accountable. Tipping point is the foundation I 807 00:40:50,120 --> 00:40:53,600 Speaker 3: started in two thousand and five. We've raised over half 808 00:40:53,600 --> 00:40:56,239 Speaker 3: a billion dollars to tackle issues of povery throughout the 809 00:40:56,280 --> 00:40:58,640 Speaker 3: Bay Area. But the thing that made us different Moly. 810 00:40:58,920 --> 00:41:01,160 Speaker 3: Much like the Robinhood Foundation in New York, if a 811 00:41:01,200 --> 00:41:04,399 Speaker 3: group was not performing, we cut funding to them and 812 00:41:04,680 --> 00:41:08,080 Speaker 3: redirected those resources. That's not happening at the city level. 813 00:41:08,080 --> 00:41:10,640 Speaker 3: We all want to blame the nonprofits, but what about 814 00:41:10,640 --> 00:41:14,360 Speaker 3: our departments that are funding these groups without holding them accountable. 815 00:41:14,440 --> 00:41:16,719 Speaker 3: That starts at the top. That's what I will bring 816 00:41:16,760 --> 00:41:20,040 Speaker 3: to bear on this executive branch. So I have two questions, 817 00:41:20,040 --> 00:41:23,160 Speaker 3: which are one, can you win in the recent polls 818 00:41:23,200 --> 00:41:25,560 Speaker 3: with the rank choice voting. I mean, I'm neck and 819 00:41:25,680 --> 00:41:29,000 Speaker 3: neck in first place votes already, and I win if 820 00:41:29,040 --> 00:41:31,360 Speaker 3: you go to the second round. I'm beating the sitting 821 00:41:31,360 --> 00:41:35,560 Speaker 3: mayor and the mayor who had about five months on 822 00:41:35,600 --> 00:41:38,399 Speaker 3: the job. I'm beating all the insiders. Not only are 823 00:41:38,440 --> 00:41:41,319 Speaker 3: we in good position, We're going to win in November. 824 00:41:41,560 --> 00:41:45,520 Speaker 1: Here's my other question. If you can win, can you 825 00:41:45,560 --> 00:41:46,200 Speaker 1: really do this? 826 00:41:48,800 --> 00:41:50,960 Speaker 3: Yeah, the winning, and then you got to actually do 827 00:41:51,040 --> 00:41:54,560 Speaker 3: the job. I've worked with every mayor since Gavin Newsom. 828 00:41:54,840 --> 00:41:58,040 Speaker 3: I brought Super Bowl fifty to the Bay Area. I 829 00:41:58,080 --> 00:42:00,520 Speaker 3: had to bring the entire region together. The chair of 830 00:42:00,560 --> 00:42:04,040 Speaker 3: that host committee, San Jose mayor, Oakland may or, San 831 00:42:04,080 --> 00:42:06,640 Speaker 3: Francisco mayor, we all had to work together. I'm the 832 00:42:06,640 --> 00:42:08,839 Speaker 3: only one in this race that actually got housing built 833 00:42:08,880 --> 00:42:12,400 Speaker 3: in San Francisco. We got it done on time, under budget, 834 00:42:12,880 --> 00:42:15,239 Speaker 3: using good paying union labor. I actually had a bet 835 00:42:15,239 --> 00:42:17,560 Speaker 3: with the sitting mayor at that time who could get 836 00:42:17,560 --> 00:42:20,279 Speaker 3: their project done. Mine was three years, three hundred and 837 00:42:20,280 --> 00:42:23,680 Speaker 3: seventy seven thousand dollars in it. His took six years, 838 00:42:24,160 --> 00:42:27,560 Speaker 3: six hundred thousand dollars in. I have the executive experience 839 00:42:28,040 --> 00:42:32,000 Speaker 3: managing one of the largest anti poverty fighting organizations in 840 00:42:32,040 --> 00:42:35,520 Speaker 3: the country, you know, bringing a global sporting event here 841 00:42:35,680 --> 00:42:39,440 Speaker 3: and getting housing built. And I work very well across 842 00:42:39,480 --> 00:42:42,400 Speaker 3: the business community, the nonprofit community, and of course the 843 00:42:42,400 --> 00:42:43,680 Speaker 3: political arena. 844 00:42:43,920 --> 00:42:46,560 Speaker 1: We want to be compassionate to unhouse people, but we 845 00:42:46,680 --> 00:42:50,440 Speaker 1: also want to have our streets and cities to be 846 00:42:50,800 --> 00:42:52,640 Speaker 1: livable and usable. 847 00:42:52,440 --> 00:42:55,000 Speaker 3: And I mean big belonged to all of us. So 848 00:42:55,120 --> 00:42:57,120 Speaker 3: what does that look like. I came out with a 849 00:42:57,160 --> 00:43:00,160 Speaker 3: comprehensive plan yesterday. It's a six point plan, but it 850 00:43:00,200 --> 00:43:03,440 Speaker 3: starts with making sure that we have enough treatment beds 851 00:43:03,480 --> 00:43:06,279 Speaker 3: for people. And I believe it should not just be 852 00:43:06,480 --> 00:43:09,280 Speaker 3: a belief being the front lines going out and dealing 853 00:43:09,280 --> 00:43:11,520 Speaker 3: with somebody with a mental health crisis or you know, 854 00:43:11,800 --> 00:43:14,120 Speaker 3: experience in a drug crisis, but you go out. We're 855 00:43:14,120 --> 00:43:16,920 Speaker 3: going to have corresponder models under my administration, where you 856 00:43:16,960 --> 00:43:20,080 Speaker 3: have a trained clinician out with a police officer. So 857 00:43:20,160 --> 00:43:23,040 Speaker 3: the first play contact is that trained clinician, and then 858 00:43:23,120 --> 00:43:25,600 Speaker 3: you need twenty four to seven crisis centers where you 859 00:43:25,640 --> 00:43:27,960 Speaker 3: can take that person. They need to accept it. They 860 00:43:28,000 --> 00:43:30,960 Speaker 3: got to accept treatment, or you need to arrest them. 861 00:43:31,160 --> 00:43:33,760 Speaker 3: We need to have both the stick and the carrot. 862 00:43:34,160 --> 00:43:36,400 Speaker 3: Currently all we have is a stick and or you 863 00:43:36,440 --> 00:43:39,000 Speaker 3: take them to SF General and we have these high 864 00:43:39,120 --> 00:43:41,480 Speaker 3: fires as we call them, and it costs US hundreds 865 00:43:41,520 --> 00:43:44,120 Speaker 3: of thousands of dollars a year to deal with one person. 866 00:43:44,400 --> 00:43:45,240 Speaker 2: This is the difference. 867 00:43:45,280 --> 00:43:48,760 Speaker 1: It's sort of like, is there something between police officers 868 00:43:49,239 --> 00:43:52,239 Speaker 1: and you know, is there some kind of like homeless 869 00:43:52,280 --> 00:43:54,520 Speaker 1: social working organization. 870 00:43:54,760 --> 00:43:58,000 Speaker 3: It's a great question. We have outreach teams right now, 871 00:43:58,160 --> 00:44:01,680 Speaker 3: but they're not well coordinated. We've seen they have dubious efficacy, 872 00:44:02,000 --> 00:44:05,080 Speaker 3: and so it falls to the police. And when you're 873 00:44:05,120 --> 00:44:07,720 Speaker 3: talking about we're down out of two thousand, we should 874 00:44:07,719 --> 00:44:11,160 Speaker 3: be around two thousand police officers, we're well below thirteen hundred. 875 00:44:11,320 --> 00:44:14,840 Speaker 3: There's a morale issue for many reasons. But one reason 876 00:44:14,920 --> 00:44:18,600 Speaker 3: is they're out doing you know, homeless services and drug 877 00:44:19,000 --> 00:44:21,120 Speaker 3: The first one is responding when somebody is having a 878 00:44:21,160 --> 00:44:24,960 Speaker 3: mental health episode. We can't have our police doing that work. 879 00:44:25,000 --> 00:44:28,960 Speaker 3: We need them walking, to be out patrolling, responding to 880 00:44:29,040 --> 00:44:31,640 Speaker 3: nine one one calls. We have the longest nine to 881 00:44:31,640 --> 00:44:34,640 Speaker 3: one one call response time in the last twenty plus years. 882 00:44:34,719 --> 00:44:37,799 Speaker 3: Right now, people don't feel safe. So yes, you can 883 00:44:37,840 --> 00:44:40,960 Speaker 3: have train clinicians go out with police officers. That's the 884 00:44:41,000 --> 00:44:44,560 Speaker 3: middle ground. That's what I propose actually yesterday. And then 885 00:44:44,600 --> 00:44:48,280 Speaker 3: you need the bed smallly. We have a fourteen billion 886 00:44:48,280 --> 00:44:51,640 Speaker 3: dollar budget. This is not a crisis of resources. This 887 00:44:51,719 --> 00:44:54,600 Speaker 3: is a crisis of leadership, and we need to build 888 00:44:54,640 --> 00:44:56,839 Speaker 3: the beds and this administration has failed to do that. 889 00:44:57,280 --> 00:44:59,600 Speaker 1: But yeah, here's my question about the police. I mean 890 00:45:00,360 --> 00:45:03,920 Speaker 1: problem with police being unhappy, but is there a problem 891 00:45:04,000 --> 00:45:08,560 Speaker 1: with police accountability too, like our mayor is what came 892 00:45:08,640 --> 00:45:13,400 Speaker 1: up through the police, and it certainly feels like there's 893 00:45:13,440 --> 00:45:19,279 Speaker 1: not that people are not very focused on accountability when 894 00:45:19,280 --> 00:45:20,320 Speaker 1: it comes to the police. 895 00:45:20,760 --> 00:45:23,400 Speaker 3: I don't, we don't. I don't believe that that's a 896 00:45:23,400 --> 00:45:26,800 Speaker 3: problem that we have currently. We've had much better training 897 00:45:26,840 --> 00:45:28,960 Speaker 3: of our police force over the last number of years. 898 00:45:29,080 --> 00:45:32,000 Speaker 3: We have a police Oversight Body, which we should have. 899 00:45:32,160 --> 00:45:35,319 Speaker 3: Police should always be held accountable, but we also have 900 00:45:35,560 --> 00:45:39,359 Speaker 3: a police Commission that has taken the reins and made 901 00:45:39,400 --> 00:45:42,760 Speaker 3: sure to prevent police officers from going out and doing 902 00:45:42,960 --> 00:45:46,040 Speaker 3: their work. And we've swung so far. And you asked 903 00:45:46,040 --> 00:45:48,319 Speaker 3: this at the beginning, you know, if this was a 904 00:45:48,360 --> 00:45:52,000 Speaker 3: response to maybe the Trump era here we were sort 905 00:45:52,040 --> 00:45:55,239 Speaker 3: of pushing back against Trump and going so far one 906 00:45:55,280 --> 00:45:57,920 Speaker 3: way that we've gone so far. I don't want to 907 00:45:57,920 --> 00:46:00,440 Speaker 3: say left or right, but that police aren't doing their 908 00:46:00,520 --> 00:46:04,080 Speaker 3: job because they feel like they're handcuffed. And yes, we 909 00:46:04,120 --> 00:46:06,759 Speaker 3: should always have oversight, but we need to enforce the 910 00:46:06,840 --> 00:46:09,080 Speaker 3: laws on our books, and we're not doing that right now. 911 00:46:09,080 --> 00:46:13,560 Speaker 3: We have people walking in taking whatever they want as stores. 912 00:46:13,600 --> 00:46:16,600 Speaker 3: We see those videos, but that's actually happening now. 913 00:46:16,680 --> 00:46:18,840 Speaker 1: Let me ask you about those videos, because we have 914 00:46:18,920 --> 00:46:22,440 Speaker 1: them in New York and they're not Actually a lot 915 00:46:22,480 --> 00:46:25,839 Speaker 1: of the statistics here were sort of juiced up and 916 00:46:25,920 --> 00:46:29,160 Speaker 1: weren't necessarily as they were sort of made to look 917 00:46:29,160 --> 00:46:30,000 Speaker 1: worse than they were. 918 00:46:30,120 --> 00:46:32,080 Speaker 3: I mean, I'm not going to sit here and say 919 00:46:32,239 --> 00:46:34,960 Speaker 3: that the media is like they have blown things out 920 00:46:34,960 --> 00:46:39,000 Speaker 3: of proportion, for sure, and many of those things have happened. 921 00:46:39,000 --> 00:46:42,680 Speaker 3: We've had many closures of Walgreens, so senior citizens now 922 00:46:43,200 --> 00:46:46,040 Speaker 3: can't walk to their local Walgreens because Walgreens has said 923 00:46:46,120 --> 00:46:49,000 Speaker 3: it's because of crime and public safety. Our Union Square 924 00:46:49,239 --> 00:46:52,120 Speaker 3: was just announced this morning that Macy's is closing its 925 00:46:52,160 --> 00:46:55,320 Speaker 3: flagship story here in San Francisco. It's like the best 926 00:46:55,320 --> 00:46:58,719 Speaker 3: piece of real estate, state commercial real estate maybe on 927 00:46:58,760 --> 00:47:02,759 Speaker 3: the planet is closing. And Whole Foods, right, and that 928 00:47:02,840 --> 00:47:05,319 Speaker 3: Whole Food's on Market Street. You know, you could question 929 00:47:05,360 --> 00:47:07,120 Speaker 3: whether or not that was the right location for it, 930 00:47:07,160 --> 00:47:10,040 Speaker 3: but people were walking in there and taking things all 931 00:47:10,160 --> 00:47:14,000 Speaker 3: day every day, and you don't have police walking the beat. 932 00:47:14,160 --> 00:47:17,600 Speaker 3: Because how this all works is the perception that you 933 00:47:17,719 --> 00:47:20,080 Speaker 3: are not going to get caught and the reality that 934 00:47:20,080 --> 00:47:23,400 Speaker 3: you're not going to get caught. Fuels people wanting to steal. 935 00:47:23,640 --> 00:47:28,680 Speaker 3: So we need to recruit aggressively, recruit police officers and 936 00:47:28,800 --> 00:47:31,360 Speaker 3: retain those that were at risk of losing. You cannot 937 00:47:31,440 --> 00:47:34,719 Speaker 3: have twelve hundred police officers in a major city like 938 00:47:34,840 --> 00:47:38,839 Speaker 3: ours and keep the public trust always always. You got 939 00:47:38,840 --> 00:47:41,919 Speaker 3: to have oversight and accountability for sure. But we also 940 00:47:41,960 --> 00:47:44,400 Speaker 3: have to have police walking the beat and out on 941 00:47:44,520 --> 00:47:47,480 Speaker 3: patrol in neighborhoods. People are flying through stop signs, they're 942 00:47:47,520 --> 00:47:49,440 Speaker 3: running red lights because they know they're not going to 943 00:47:49,480 --> 00:47:53,080 Speaker 3: get caught. So we need more visible police presence and 944 00:47:53,160 --> 00:47:55,440 Speaker 3: community police. And two right, So. 945 00:47:56,920 --> 00:48:00,319 Speaker 1: I have another question, which is about safe injection site. 946 00:48:00,520 --> 00:48:03,040 Speaker 2: I mean, where are you on with that right now? 947 00:48:03,200 --> 00:48:05,400 Speaker 3: With what we have on the streets. I'm not in 948 00:48:05,440 --> 00:48:07,720 Speaker 3: favor of them here in San Francisco at this time. 949 00:48:07,920 --> 00:48:10,800 Speaker 3: What you have in New York you have safe injection sites, 950 00:48:10,840 --> 00:48:13,160 Speaker 3: and I've heard really good things and we're talking about 951 00:48:13,160 --> 00:48:17,000 Speaker 3: heroin here, we're talking about fentanyl. Fentanyl, do it once 952 00:48:17,200 --> 00:48:20,320 Speaker 3: you can die. So for me, we have to clean 953 00:48:20,440 --> 00:48:22,400 Speaker 3: up the streets. We have to get mental health and 954 00:48:22,480 --> 00:48:26,680 Speaker 3: drug treatment. That's first. Let's close these open air drug 955 00:48:26,719 --> 00:48:30,839 Speaker 3: markets that are in real effect, especially at night here 956 00:48:30,880 --> 00:48:33,719 Speaker 3: in the Tenderloin and in Soma. We have to send 957 00:48:33,760 --> 00:48:37,480 Speaker 3: a message that this is no longer acceptable. I have friends, 958 00:48:37,560 --> 00:48:40,000 Speaker 3: you know, in the public health sphere who you know, 959 00:48:40,040 --> 00:48:43,160 Speaker 3: are pushing me on this safe injection site. They haven't 960 00:48:43,200 --> 00:48:45,560 Speaker 3: been able to convince me that it's, you know, something 961 00:48:45,560 --> 00:48:49,160 Speaker 3: that you can do safely with fentanyl. Once again, eight 962 00:48:49,280 --> 00:48:52,480 Speaker 3: hundred and six people died of fentyl overdoses in our 963 00:48:52,520 --> 00:48:55,319 Speaker 3: city last year. It's out of control, and so the 964 00:48:55,360 --> 00:48:58,160 Speaker 3: idea of providing a safe place to do fentanyl is 965 00:48:58,160 --> 00:49:00,200 Speaker 3: a bridge too far for me at this moment. I'm 966 00:49:00,200 --> 00:49:03,080 Speaker 3: happy to continue the conversations, but we first need to 967 00:49:03,160 --> 00:49:06,680 Speaker 3: clean up the streets and open air drug markets and 968 00:49:06,840 --> 00:49:10,040 Speaker 3: get the people that are addicted into treatment. And we 969 00:49:10,120 --> 00:49:11,919 Speaker 3: need treatment on demand, right. 970 00:49:12,200 --> 00:49:14,319 Speaker 1: You know, I'm sober since as a teenager, so I 971 00:49:14,360 --> 00:49:17,359 Speaker 1: really agree with that, and I certainly believe that if 972 00:49:17,360 --> 00:49:21,120 Speaker 1: you're an addict, that's the game. So do you think 973 00:49:21,160 --> 00:49:22,200 Speaker 1: it's doable? 974 00:49:22,560 --> 00:49:26,000 Speaker 3: We're coming back, Mollie. This is the greatest city in 975 00:49:26,040 --> 00:49:30,080 Speaker 3: the world. We have great bones. We have UCSF, uc 976 00:49:30,400 --> 00:49:33,600 Speaker 3: Law School, we have cow we have Berkeley. We're the 977 00:49:33,719 --> 00:49:37,160 Speaker 3: home of the AI boom. We're the home of clean 978 00:49:37,280 --> 00:49:41,000 Speaker 3: tech and green tech. We have a great arts community here. 979 00:49:41,080 --> 00:49:44,520 Speaker 3: We have a world class San Francisco Ballet, we have 980 00:49:44,560 --> 00:49:47,840 Speaker 3: a world class opera, we have world class art museums 981 00:49:47,840 --> 00:49:51,040 Speaker 3: and SF Mama and the de Young Mollie. We are 982 00:49:51,280 --> 00:49:55,080 Speaker 3: coming back. We just we need to get back to basics. 983 00:49:55,320 --> 00:49:58,840 Speaker 3: We need to allow small businesses and our big businesses 984 00:49:58,880 --> 00:50:01,400 Speaker 3: to thrive. We need to simplify the tax code. We 985 00:50:01,440 --> 00:50:05,359 Speaker 3: need labor and business to come together to simplify things 986 00:50:05,400 --> 00:50:08,520 Speaker 3: and make sure there's certainty for our small businesses in 987 00:50:08,560 --> 00:50:11,680 Speaker 3: our big business. And then we're coming roaring back and 988 00:50:12,000 --> 00:50:14,000 Speaker 3: we're a boom and bus town. This is one of 989 00:50:14,040 --> 00:50:16,439 Speaker 3: the worst bus we've been through, there's no doubt about it. 990 00:50:16,520 --> 00:50:18,320 Speaker 3: But we're coming all the way back. 991 00:50:18,520 --> 00:50:20,520 Speaker 2: Daniel, thank you so much for joining us. 992 00:50:20,680 --> 00:50:23,080 Speaker 3: Mollie, thank you for having me. It's an honor to 993 00:50:23,080 --> 00:50:26,759 Speaker 3: be on your show. 994 00:50:26,080 --> 00:50:33,040 Speaker 2: No moment full, Jesse Cannon, Hi, John Faspia. This looming 995 00:50:33,440 --> 00:50:37,760 Speaker 2: government shutdown and the Republicans are acting a little crazy. 996 00:50:37,760 --> 00:50:38,720 Speaker 5: What are you seeing here? 997 00:50:39,160 --> 00:50:45,600 Speaker 1: Speaker Mike Johnson, backbencher handpicked by Trump, turns out not 998 00:50:45,760 --> 00:50:48,120 Speaker 1: to be good with math. He said he would not 999 00:50:48,520 --> 00:50:51,960 Speaker 1: fund the government unless Democrats fixed the border. 1000 00:50:52,239 --> 00:50:53,760 Speaker 2: Democrats gave him. 1001 00:50:53,760 --> 00:50:58,680 Speaker 1: Quite a conservative border bill which did all sorts of 1002 00:50:58,920 --> 00:51:01,000 Speaker 1: things that progressive would not have liked. 1003 00:51:01,480 --> 00:51:04,040 Speaker 2: He rejected it without looking at it. 1004 00:51:04,320 --> 00:51:08,240 Speaker 1: And now on Friday, twenty percent of the federal government 1005 00:51:08,440 --> 00:51:12,359 Speaker 1: is going to shut down unless Maga Mike Johnson is 1006 00:51:12,440 --> 00:51:15,240 Speaker 1: able to figure out how to do a new CR. 1007 00:51:15,719 --> 00:51:17,799 Speaker 1: You know he said he said in a call on 1008 00:51:17,840 --> 00:51:20,080 Speaker 1: Friday that he wasn't going to do a CR. 1009 00:51:20,440 --> 00:51:20,920 Speaker 2: I don't know. 1010 00:51:21,040 --> 00:51:24,160 Speaker 1: That sort of doesn't solve any problems for him and 1011 00:51:24,640 --> 00:51:29,600 Speaker 1: Mike Johnson and his ever shrinking to vote majority is. 1012 00:51:29,560 --> 00:51:30,720 Speaker 3: Our moment of gray. 1013 00:51:31,680 --> 00:51:35,040 Speaker 1: That's it for this episode of Fast Politics. Tune in 1014 00:51:35,080 --> 00:51:38,320 Speaker 1: every Monday, Wednesday and Friday to hear the best minds 1015 00:51:38,320 --> 00:51:41,560 Speaker 1: in politics makes sense of all this chaos. If you 1016 00:51:41,680 --> 00:51:44,360 Speaker 1: enjoyed what you've heard, please send it to a friend 1017 00:51:44,400 --> 00:51:47,960 Speaker 1: and keep the conversation going. And again, thanks for listening.