1 00:00:00,600 --> 00:00:04,120 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,200 Speaker 1: today's best minds, and Florida wants to ban students from 4 00:00:11,200 --> 00:00:16,480 Speaker 1: discussing menstruation. We have a mind blowing show today, The Guardians. 5 00:00:16,520 --> 00:00:22,639 Speaker 1: Margaret Sullivan stops by to discuss the upcoming Fox News lawsuit. 6 00:00:22,960 --> 00:00:27,760 Speaker 1: Then we'll talk to CNN's Edward Isaac Dovert and he'll 7 00:00:27,800 --> 00:00:32,080 Speaker 1: tell us about how Democrats are pushing abortion rights using 8 00:00:32,200 --> 00:00:36,440 Speaker 1: ballot initiatives. It's an old GOP playbook. But first we 9 00:00:36,520 --> 00:00:42,560 Speaker 1: have the host of the Laurence O'Donnell Show, MSNBC's Laurence O'Donnell. 10 00:00:43,400 --> 00:00:47,920 Speaker 1: Welcome back to Fast Politics, Ban favorite, Laurence O'Donnell. Great 11 00:00:47,960 --> 00:00:50,239 Speaker 1: to be here, delighted to have you. I wanted to 12 00:00:50,240 --> 00:00:55,040 Speaker 1: talk to you first about what is going on in Tennessee. 13 00:00:55,160 --> 00:00:57,200 Speaker 1: I feel like that is something right out of the 14 00:00:57,200 --> 00:01:00,760 Speaker 1: West Wing. It really is. It's also something out of 15 00:01:01,000 --> 00:01:06,400 Speaker 1: the nineteen sixties. And the reason Martin Luther King's life 16 00:01:06,560 --> 00:01:11,480 Speaker 1: ended in Tennessee is that he was there to participate 17 00:01:11,959 --> 00:01:16,200 Speaker 1: in a worker's strike. The sanitation workers all went out 18 00:01:16,200 --> 00:01:19,080 Speaker 1: on strike one day when two of them were killed 19 00:01:19,319 --> 00:01:22,920 Speaker 1: in what we now call an industrial accident on the job. 20 00:01:23,080 --> 00:01:25,800 Speaker 1: They were killed by the truck that they were working on. 21 00:01:25,959 --> 00:01:29,160 Speaker 1: And the conditions were so unsafe and the pay was 22 00:01:29,200 --> 00:01:31,600 Speaker 1: so low, and they were not unionized that they all 23 00:01:31,640 --> 00:01:34,240 Speaker 1: went out on strike and just to form a union. 24 00:01:34,640 --> 00:01:38,720 Speaker 1: And the slogan that they had at the time for 25 00:01:38,760 --> 00:01:42,120 Speaker 1: their protest march, which they were doing at gunpoint, by 26 00:01:42,160 --> 00:01:47,120 Speaker 1: the way, was I am a man. And if you 27 00:01:47,200 --> 00:01:52,320 Speaker 1: wanted to reduce what happened in the Tennessee legislature on 28 00:01:52,440 --> 00:01:57,240 Speaker 1: Thursday when they were expelling these two men, you could 29 00:01:57,280 --> 00:02:01,920 Speaker 1: reduce their statements to I am a man or I 30 00:02:01,960 --> 00:02:06,640 Speaker 1: am a person, and I need to be recognized as 31 00:02:06,680 --> 00:02:09,680 Speaker 1: a person with the right to speak in this body, 32 00:02:10,040 --> 00:02:12,240 Speaker 1: which they were denied, which is the kind of the 33 00:02:12,320 --> 00:02:15,560 Speaker 1: missing part of the coverage, in a way, is what 34 00:02:15,720 --> 00:02:18,400 Speaker 1: led up to it. You're not allowed to speak in 35 00:02:18,520 --> 00:02:23,639 Speaker 1: that crazy legislature. And so they were standing in a 36 00:02:23,760 --> 00:02:28,840 Speaker 1: very long tradition and dark and horrible tradition in Tennessee, 37 00:02:29,200 --> 00:02:35,720 Speaker 1: which at its worst moments has turned into progress. And 38 00:02:35,800 --> 00:02:39,880 Speaker 1: so we'll see less than a week after being expelled, 39 00:02:39,960 --> 00:02:43,760 Speaker 1: they will both be back at their desks in that 40 00:02:44,000 --> 00:02:47,680 Speaker 1: Legislative Chamber, and so what do we do? Do we 41 00:02:47,880 --> 00:02:50,760 Speaker 1: thank I really have been thinking about do we thank 42 00:02:50,919 --> 00:02:53,840 Speaker 1: the Republican Speaker of the House for doing this? Because 43 00:02:54,240 --> 00:02:58,160 Speaker 1: I didn't know Justin Pearson existed. I didn't know Justin 44 00:02:58,240 --> 00:03:05,800 Speaker 1: Jones existed. Justin Pearson is his speeches and debate he 45 00:03:05,880 --> 00:03:09,919 Speaker 1: was in debate on the House floor reached a level 46 00:03:10,600 --> 00:03:14,600 Speaker 1: that I've never seen before. You know, no one has 47 00:03:14,639 --> 00:03:17,880 Speaker 1: outdone Martin Luther King in public speaking in the history 48 00:03:17,919 --> 00:03:22,239 Speaker 1: of the United States of America, but no one has 49 00:03:22,280 --> 00:03:27,800 Speaker 1: ever outdone Justin Pearson in debate in the United States 50 00:03:27,840 --> 00:03:30,400 Speaker 1: of America. What he was doing was a combination of 51 00:03:30,440 --> 00:03:33,679 Speaker 1: public speaking and debate because he was taking all this 52 00:03:33,840 --> 00:03:38,160 Speaker 1: input from these Republicans making statements at him and pointing 53 00:03:38,160 --> 00:03:40,760 Speaker 1: fingers at him, you know, trying to expel him, and 54 00:03:40,800 --> 00:03:45,600 Speaker 1: he was responding to them in the moment, with no teleprompter, 55 00:03:45,880 --> 00:03:50,240 Speaker 1: no script, no night to think it over. You know, 56 00:03:50,280 --> 00:03:52,440 Speaker 1: what am I going to say if he says this? 57 00:03:53,320 --> 00:03:55,560 Speaker 1: It was just the one most remarkable thing. You know, 58 00:03:55,600 --> 00:03:57,880 Speaker 1: as I was watching it, you know, we originally scheduled 59 00:03:57,960 --> 00:03:59,880 Speaker 1: one segment on it for the show, and I was 60 00:04:00,080 --> 00:04:03,040 Speaker 1: as I was watching you know, Representative Pearson. I just 61 00:04:03,160 --> 00:04:05,040 Speaker 1: kept saying, oh, no, we gotta get rid of we 62 00:04:05,120 --> 00:04:06,920 Speaker 1: gotta get rid of the Trump segment, that we can 63 00:04:06,960 --> 00:04:09,080 Speaker 1: do that tomorrow. And then I was like, now you 64 00:04:09,120 --> 00:04:11,720 Speaker 1: gotta get rid of this other thing. And it ended 65 00:04:11,760 --> 00:04:13,640 Speaker 1: up being the whole show and we could barely do 66 00:04:13,680 --> 00:04:16,719 Speaker 1: it justice in the whole show. Yeah, it's so interesting 67 00:04:16,760 --> 00:04:20,320 Speaker 1: because it is the two of them. Justin Pearson and 68 00:04:20,680 --> 00:04:25,680 Speaker 1: Justin Jones were both kicked out, but these six year 69 00:04:25,680 --> 00:04:30,560 Speaker 1: old white woman was not. I just didn't believe they 70 00:04:31,080 --> 00:04:34,760 Speaker 1: could be that stupid. But man, I am so embarrassed 71 00:04:34,960 --> 00:04:38,719 Speaker 1: at having underestimated stupid in America since the rise of 72 00:04:38,760 --> 00:04:41,880 Speaker 1: Donald Trump, because I really thought I had my finger 73 00:04:41,920 --> 00:04:44,880 Speaker 1: on the pulse of stupid in America. We've talked about 74 00:04:44,920 --> 00:04:47,520 Speaker 1: this before, Yeah, I mean I grew up with a 75 00:04:47,520 --> 00:04:49,480 Speaker 1: lot of it, you know, and so like it was, 76 00:04:49,839 --> 00:04:53,680 Speaker 1: it was all around me, and I just I don't know. 77 00:04:53,880 --> 00:04:58,000 Speaker 1: I'm sorry, I'm sorry, America. I overestimated how smart you were. 78 00:04:58,040 --> 00:05:00,520 Speaker 1: I thought you were thirty percent stupid. So when I 79 00:05:00,560 --> 00:05:04,719 Speaker 1: saw them not expel the Representative Johnson, a white woman, 80 00:05:04,920 --> 00:05:09,680 Speaker 1: I thought, Okay, they realize what Justin Jones said in 81 00:05:09,720 --> 00:05:12,279 Speaker 1: his final words, which is the whole world is watching 82 00:05:12,600 --> 00:05:15,440 Speaker 1: and they realize this looks bad and we're going to 83 00:05:15,560 --> 00:05:18,599 Speaker 1: stop this. And the only logic I could see unfolding, 84 00:05:18,720 --> 00:05:21,559 Speaker 1: the only story logic in front of me, was Okay, 85 00:05:21,640 --> 00:05:24,600 Speaker 1: they're pulling back from this crazy idea. They're not going 86 00:05:24,680 --> 00:05:28,480 Speaker 1: to expel her. They're obviously then not going to expel 87 00:05:28,760 --> 00:05:32,840 Speaker 1: the next guy, you know, Representative Pearson, and then they 88 00:05:32,839 --> 00:05:36,240 Speaker 1: will probably go back and revote on the other guy 89 00:05:36,400 --> 00:05:39,279 Speaker 1: or something to try to fix it. And it's like no, no, no, 90 00:05:39,279 --> 00:05:43,200 Speaker 1: no no no no, no, no, no no. Guess how 91 00:05:43,240 --> 00:05:48,440 Speaker 1: stupid they are. They're going to keep the white person 92 00:05:49,120 --> 00:05:52,680 Speaker 1: and then expel the next black person. Unbelievable. And I 93 00:05:52,720 --> 00:05:58,360 Speaker 1: think that you know, there's a GOP donor retreat in Nashville, 94 00:05:58,400 --> 00:06:02,320 Speaker 1: Tennessee this weekend. Yeah. And of course, you know, there 95 00:06:02,400 --> 00:06:07,000 Speaker 1: used to be a notion in politics that you know, well, 96 00:06:07,040 --> 00:06:09,960 Speaker 1: you know, the big bunny people, they all kind of 97 00:06:10,000 --> 00:06:15,360 Speaker 1: gravitate toward the same place, a very similar place in politics. 98 00:06:15,400 --> 00:06:17,760 Speaker 1: So if you were to go back, say to the 99 00:06:17,800 --> 00:06:20,839 Speaker 1: early nineteen nineties, say to the Clinton era of running 100 00:06:20,880 --> 00:06:24,120 Speaker 1: for president, and you were to say, what is the 101 00:06:24,320 --> 00:06:30,320 Speaker 1: policy difference between big dollar donors to president, the first 102 00:06:30,360 --> 00:06:35,039 Speaker 1: president Bush running for reelection and Bill Clinton running against 103 00:06:35,080 --> 00:06:37,760 Speaker 1: him for president, and you would say, you could put 104 00:06:37,800 --> 00:06:41,360 Speaker 1: all those big dollar donors, the corporate the corporate big 105 00:06:41,360 --> 00:06:44,920 Speaker 1: dollar donors, not the Hollywood big dollar donors, because they've 106 00:06:44,960 --> 00:06:47,600 Speaker 1: always been liberal and they're they're different, you know. But 107 00:06:48,120 --> 00:06:50,680 Speaker 1: you could put the corporate big dollar donors in a 108 00:06:50,800 --> 00:06:55,000 Speaker 1: room together, and you wouldn't if you just were overhearing 109 00:06:55,000 --> 00:06:57,800 Speaker 1: them talk. It would take you quite a while to 110 00:06:57,800 --> 00:07:02,680 Speaker 1: figure out which one is with Bush, you know. And 111 00:07:02,279 --> 00:07:06,440 Speaker 1: and surely all of them would be saying how much 112 00:07:06,480 --> 00:07:10,320 Speaker 1: they don't like taxes, right, but some of them would 113 00:07:10,360 --> 00:07:13,280 Speaker 1: be contributing to the Democrat. But there was a very 114 00:07:13,280 --> 00:07:17,320 Speaker 1: significant overlap in the way they thought. And now there's none. 115 00:07:17,640 --> 00:07:22,160 Speaker 1: There is no overlap between the thinking of the big 116 00:07:22,200 --> 00:07:26,840 Speaker 1: money corporate people contributing to Republicans and the big money 117 00:07:27,160 --> 00:07:30,120 Speaker 1: corporate people contributing to Democrats. There's no overlap at all, 118 00:07:30,200 --> 00:07:35,320 Speaker 1: which is extremely dangerous because it means that the insular 119 00:07:35,560 --> 00:07:41,360 Speaker 1: and very stupid thinking of rich Republican corporatists will only 120 00:07:41,440 --> 00:07:46,160 Speaker 1: get stupider because they will only be you know, talking 121 00:07:46,200 --> 00:07:49,880 Speaker 1: to themselves and interacting with themselves and developing a set 122 00:07:49,920 --> 00:07:55,040 Speaker 1: of you know, political contribution incentives that get stupider and stupider, 123 00:07:55,040 --> 00:08:00,679 Speaker 1: and so they will find themselves contributing to the party 124 00:08:00,720 --> 00:08:07,480 Speaker 1: that is nationally threatening to destroy their businesses and their 125 00:08:07,520 --> 00:08:11,960 Speaker 1: accumulated wealth in one fell swoop with the debt ceiling 126 00:08:12,560 --> 00:08:16,120 Speaker 1: that no one's ever threatened them at that level before. 127 00:08:16,680 --> 00:08:22,280 Speaker 1: And because they too are stupid, they continue to be 128 00:08:22,360 --> 00:08:25,280 Speaker 1: handcuffed to the stupid party. And so the you know, 129 00:08:25,320 --> 00:08:30,680 Speaker 1: the Republican donors no longer are the force that we 130 00:08:31,440 --> 00:08:35,360 Speaker 1: could rely on to avoid collisions on things like the 131 00:08:35,400 --> 00:08:37,120 Speaker 1: debt ceiling. And I still hear it, you know, I 132 00:08:37,160 --> 00:08:40,000 Speaker 1: still hear oya. You know, the money men are telling 133 00:08:40,120 --> 00:08:42,800 Speaker 1: McCarthy he has to fix the debt ceiling and he 134 00:08:42,840 --> 00:08:46,200 Speaker 1: can't fool around, right, There's no evidence to support that. 135 00:08:46,520 --> 00:08:48,880 Speaker 1: If you said that about Gingrich in the nineteen nineties, 136 00:08:48,920 --> 00:08:50,880 Speaker 1: I'd go, yeah, okay, good, that'll take care of it. 137 00:08:51,120 --> 00:08:54,200 Speaker 1: Not Now, this dovetails to the next question. I wanted 138 00:08:54,240 --> 00:08:59,600 Speaker 1: to ask you, which is the most recent reporting from 139 00:08:59,679 --> 00:09:07,040 Speaker 1: that left wing rag Pro Publica about one Clarence Thomas. 140 00:09:07,480 --> 00:09:11,960 Speaker 1: We have publicly revealed the most corrupt Supreme Court in history. 141 00:09:12,000 --> 00:09:14,720 Speaker 1: And the good news about that is that in the 142 00:09:14,880 --> 00:09:17,760 Speaker 1: entire history of the Supreme Court, there has been next 143 00:09:17,800 --> 00:09:21,120 Speaker 1: to not a whiff of scandal at the Supreme Court. 144 00:09:21,200 --> 00:09:26,920 Speaker 1: So and I guarantee you that you know, in eighteen 145 00:09:27,080 --> 00:09:32,120 Speaker 1: seventy that did not mean that the wives of Supreme 146 00:09:32,120 --> 00:09:37,520 Speaker 1: Court justices were highly politically active people secretly who were 147 00:09:37,559 --> 00:09:42,800 Speaker 1: trying to harm the country. They were profoundly inactive people 148 00:09:43,200 --> 00:09:46,520 Speaker 1: at the time. And so the nature of the scandal 149 00:09:46,640 --> 00:09:52,720 Speaker 1: that we have now, which is very much a spousal scandal, 150 00:09:52,760 --> 00:09:55,840 Speaker 1: it's very much a Jinny Thomas scandal because this Nazi 151 00:09:55,960 --> 00:10:00,559 Speaker 1: memorabilia collecting billionaire, the first thing he does is hey 152 00:10:00,800 --> 00:10:05,280 Speaker 1: personally pay Clarence Thomas's wife out of his pocket. He 153 00:10:05,920 --> 00:10:09,440 Speaker 1: funds an organization with all the money it needs to 154 00:10:09,520 --> 00:10:13,720 Speaker 1: then pay a salary to Clarence Thomas's wife. And by 155 00:10:13,760 --> 00:10:19,360 Speaker 1: the way, it's a salary that instantaneously doubles the income 156 00:10:19,520 --> 00:10:23,480 Speaker 1: of a Supreme Court justice's home. And one of the 157 00:10:23,559 --> 00:10:27,520 Speaker 1: challenges in the modern real estate market of the Washington, 158 00:10:27,559 --> 00:10:30,120 Speaker 1: DC area is how do you live on a Supreme 159 00:10:30,160 --> 00:10:33,280 Speaker 1: Court justice's salary in a way that you would expect 160 00:10:33,360 --> 00:10:36,280 Speaker 1: a Supreme Court justice to live. And one of the 161 00:10:36,320 --> 00:10:39,400 Speaker 1: answers to that in the Thomas family is well, number one, 162 00:10:39,640 --> 00:10:43,040 Speaker 1: don't worry about the Supreme Court justice's salary. And so 163 00:10:43,400 --> 00:10:47,480 Speaker 1: you know, the level of corruption there is colossal and 164 00:10:48,080 --> 00:10:51,319 Speaker 1: unaddressable by the current system. Yeah. I mean, if you're 165 00:10:51,360 --> 00:10:53,960 Speaker 1: John Roberts, you just have a wife who is a 166 00:10:54,200 --> 00:10:58,360 Speaker 1: legal Oh but I mean he one of the reasons 167 00:10:58,360 --> 00:11:00,720 Speaker 1: why he can't go near this is his wife lives 168 00:11:00,760 --> 00:11:04,680 Speaker 1: an equally corrupt life. Okay, his wife lives an equally 169 00:11:04,720 --> 00:11:08,480 Speaker 1: equally corrupt life. I shouldn't be laughing, but it's just 170 00:11:08,679 --> 00:11:12,480 Speaker 1: grim in the legal community. Now, let's take a look 171 00:11:12,800 --> 00:11:17,440 Speaker 1: at the vice president's husband. Okay, because we're not saying 172 00:11:17,920 --> 00:11:21,640 Speaker 1: you can't have a job. We are saying the founders 173 00:11:22,240 --> 00:11:26,280 Speaker 1: lived in a world in which no wife would ever 174 00:11:26,400 --> 00:11:29,640 Speaker 1: have a job, so they never had this kind of 175 00:11:29,679 --> 00:11:32,199 Speaker 1: thing never crossed their minds. Okay, but now we live 176 00:11:32,200 --> 00:11:35,319 Speaker 1: in the twenty first century, so sure your spouse can 177 00:11:35,360 --> 00:11:39,200 Speaker 1: have a job. What did the vice president's husband do? 178 00:11:39,920 --> 00:11:44,480 Speaker 1: High powered lawyer, very high income lawyer in a big 179 00:11:44,840 --> 00:11:50,839 Speaker 1: worldwide law firm. He quit his law firm. He represents 180 00:11:51,440 --> 00:11:55,600 Speaker 1: entertainment clients. He didn't represent any clients with any issues 181 00:11:55,640 --> 00:11:59,240 Speaker 1: before the government in any way. But he thought, I 182 00:11:59,320 --> 00:12:03,280 Speaker 1: can't be a associated with a law firm whose London 183 00:12:03,440 --> 00:12:08,160 Speaker 1: office might someday be involved in a case that somehow 184 00:12:08,600 --> 00:12:13,080 Speaker 1: reflects on some aspect of American governing. And so the 185 00:12:13,200 --> 00:12:17,040 Speaker 1: Vice President's husband quits the high Pang law firm and 186 00:12:17,200 --> 00:12:21,640 Speaker 1: he becomes a law professor at a local law school 187 00:12:21,679 --> 00:12:26,520 Speaker 1: in Washington, DC. And that is the model. There is 188 00:12:26,679 --> 00:12:31,920 Speaker 1: utterly nothing slightly corrupting about that model, and it is 189 00:12:32,200 --> 00:12:36,280 Speaker 1: entirely honorable. And he will get no credit for that 190 00:12:36,559 --> 00:12:40,160 Speaker 1: by anyone out there in the news media who looks 191 00:12:40,160 --> 00:12:43,600 Speaker 1: at these issues. While the news media will just be 192 00:12:43,640 --> 00:12:47,200 Speaker 1: looking at the Jenny Thomas and the Chief Justice Robert's 193 00:12:47,320 --> 00:12:51,400 Speaker 1: spousal situations and say, well, you can't say that they 194 00:12:51,440 --> 00:12:54,040 Speaker 1: can't have a job. You know, they'll take the stupidest 195 00:12:54,280 --> 00:12:56,720 Speaker 1: possible angle on it. And the answer is, yeah, sure, 196 00:12:56,760 --> 00:12:58,760 Speaker 1: you can have a job. Tell me what the job is. 197 00:12:59,000 --> 00:13:03,920 Speaker 1: And I've seen senators go from being United States senators 198 00:13:03,920 --> 00:13:08,679 Speaker 1: to being lobbyists, and I consider that a dishonorable transition. 199 00:13:09,160 --> 00:13:12,199 Speaker 1: I have also seen senators go from being United States 200 00:13:12,200 --> 00:13:16,240 Speaker 1: senators to being presidents of universities, and I think, yes, 201 00:13:16,720 --> 00:13:19,760 Speaker 1: that's what you should do. Do something like that, that 202 00:13:20,040 --> 00:13:25,439 Speaker 1: is not using the actual day to day currency of 203 00:13:25,480 --> 00:13:28,560 Speaker 1: what you did in government to add to the personal 204 00:13:28,600 --> 00:13:32,640 Speaker 1: currency of your bank account, right exactly. So one of 205 00:13:32,679 --> 00:13:35,520 Speaker 1: the things that was super interesting about this pro Publica's 206 00:13:35,559 --> 00:13:37,920 Speaker 1: story was not so much because we had all sort 207 00:13:37,960 --> 00:13:41,439 Speaker 1: of thought after that two thousand and four front page 208 00:13:41,480 --> 00:13:46,040 Speaker 1: story in the La Times where I talked about how 209 00:13:46,120 --> 00:13:50,800 Speaker 1: Thomas had gotten gifts, and then he slowly stopped declaring gifts. Okay, 210 00:13:50,840 --> 00:13:53,440 Speaker 1: that we're not so shocked by that. But one of 211 00:13:53,440 --> 00:13:56,520 Speaker 1: the things I was really struck by was all of 212 00:13:56,559 --> 00:14:01,640 Speaker 1: the conservative writers on Twitter who had gotten money from 213 00:14:01,679 --> 00:14:04,120 Speaker 1: Harlan Crowe by the way, that name is like right 214 00:14:04,160 --> 00:14:08,880 Speaker 1: out of Central Casting, who then were staunchly defending him 215 00:14:08,960 --> 00:14:13,040 Speaker 1: and saying things like, well he has communist art or 216 00:14:13,120 --> 00:14:15,600 Speaker 1: he has and you really did see how much of 217 00:14:15,679 --> 00:14:19,600 Speaker 1: conservative media is a donor based I would say, Harland 218 00:14:19,640 --> 00:14:23,840 Speaker 1: Crowe is a smart corruptor, right, He's a corruptor of 219 00:14:24,320 --> 00:14:27,600 Speaker 1: the reviewers of his work, you know, in that sense, 220 00:14:27,680 --> 00:14:30,640 Speaker 1: you know, by pumping the money in there. Let me 221 00:14:30,680 --> 00:14:32,920 Speaker 1: tell you a story about the way this is supposed 222 00:14:32,920 --> 00:14:36,920 Speaker 1: to work okay. Senator Moynihan representing New York had a 223 00:14:37,040 --> 00:14:41,360 Speaker 1: very strong association with Puerto Rico, which does not get 224 00:14:41,400 --> 00:14:45,600 Speaker 1: a United States Senator, and so Puerto Rico, when it's lucky, 225 00:14:45,960 --> 00:14:49,480 Speaker 1: has certain United States Senators at certain times in history 226 00:14:49,520 --> 00:14:52,360 Speaker 1: that kind of adopt it, and they tend to be 227 00:14:52,760 --> 00:14:56,960 Speaker 1: New York Senators. And in the geopolitical dynamics of the region, 228 00:14:57,400 --> 00:15:01,240 Speaker 1: Ambassador Moynihan at the United Nations was very much concerned 229 00:15:01,960 --> 00:15:06,600 Speaker 1: every day when he was hearing from other countries about 230 00:15:06,640 --> 00:15:09,040 Speaker 1: how Puerto Rico is just a colony, and he would 231 00:15:09,080 --> 00:15:11,800 Speaker 1: be insisting, no, it's not. It's a commonwealth that can 232 00:15:11,880 --> 00:15:15,000 Speaker 1: vote its own status anytime it wants to and all 233 00:15:15,080 --> 00:15:17,560 Speaker 1: that you know. And Cuba was doing an awful lot 234 00:15:17,560 --> 00:15:20,960 Speaker 1: of disinformation about Puerto Rico at the time, and anyway, 235 00:15:21,040 --> 00:15:23,600 Speaker 1: he took a strong interest in it. And so when 236 00:15:23,640 --> 00:15:24,960 Speaker 1: I was working for him in the Senate, he had 237 00:15:25,000 --> 00:15:26,680 Speaker 1: to go down to Puerto Rico to meet with the 238 00:15:26,680 --> 00:15:30,520 Speaker 1: Governor of Puerto Rico about a very important tax provision 239 00:15:30,520 --> 00:15:33,240 Speaker 1: in the US tax code that helps support the Puerto 240 00:15:33,320 --> 00:15:35,800 Speaker 1: Rican economy. And it was very hard to hold onto 241 00:15:35,880 --> 00:15:39,040 Speaker 1: because people looked at it as a corporate loophole, which 242 00:15:39,040 --> 00:15:41,720 Speaker 1: in a way it was, but it was a very 243 00:15:41,760 --> 00:15:46,160 Speaker 1: strong supporter of an economy that was by far the 244 00:15:46,400 --> 00:15:49,720 Speaker 1: poorest economy that is part of the United States of America. 245 00:15:49,800 --> 00:15:52,080 Speaker 1: So he wanted to go down there, and a friend 246 00:15:52,120 --> 00:15:55,640 Speaker 1: of his said, you can use my plane to go 247 00:15:55,720 --> 00:15:58,240 Speaker 1: down there. And I and all my time working for 248 00:15:58,280 --> 00:16:01,720 Speaker 1: Senator moynihan, never knew him to fly on anyone's private plane. 249 00:16:02,040 --> 00:16:03,920 Speaker 1: And this was a friend of his he'd had since 250 00:16:03,960 --> 00:16:07,960 Speaker 1: he was a Harvard professor. And so the Senate rule was, 251 00:16:08,600 --> 00:16:13,000 Speaker 1: you are allowed to take that gift from someone who 252 00:16:13,080 --> 00:16:19,680 Speaker 1: you can document was your friend before you became a senator. 253 00:16:19,960 --> 00:16:23,600 Speaker 1: Which is very important about this definition of friend. Okay, 254 00:16:23,640 --> 00:16:27,080 Speaker 1: because everybody who comes at you after you're a senator 255 00:16:27,280 --> 00:16:29,880 Speaker 1: police don't ever use the word friend. Don't use the 256 00:16:29,920 --> 00:16:32,120 Speaker 1: word friend. You've got to have a separate word for them. 257 00:16:32,440 --> 00:16:34,680 Speaker 1: So I knew how long he'd known the guy. I 258 00:16:34,760 --> 00:16:38,160 Speaker 1: knew the whole thing, and I said to him, well, yeah, 259 00:16:38,200 --> 00:16:40,640 Speaker 1: but you know, I just don't want to be trying 260 00:16:40,680 --> 00:16:43,560 Speaker 1: to explain this to the Buffalo News when they run 261 00:16:43,600 --> 00:16:46,280 Speaker 1: the story about the senator takes a private jet to 262 00:16:46,320 --> 00:16:49,360 Speaker 1: the Caribbean, you know, for a vacation. I don't want 263 00:16:49,360 --> 00:16:50,920 Speaker 1: to have to explain. No, it was to meet with 264 00:16:50,960 --> 00:16:54,880 Speaker 1: the governor. And yes, it included a weekend, so I 265 00:16:54,920 --> 00:16:57,480 Speaker 1: guess you could call the weekend vacation. You know, I 266 00:16:57,480 --> 00:16:59,280 Speaker 1: don't want to explain this whole thing, and I don't 267 00:16:59,320 --> 00:17:01,840 Speaker 1: want to explain or fifty year relationship with this guy. 268 00:17:02,160 --> 00:17:04,560 Speaker 1: And he said, well, you know, my knee and my hip, 269 00:17:04,600 --> 00:17:07,879 Speaker 1: and you know, he's seventy something at the time, and 270 00:17:07,960 --> 00:17:10,399 Speaker 1: this is a tough one, right, and his wife is 271 00:17:10,440 --> 00:17:13,080 Speaker 1: going to go with him and she's not feeling great 272 00:17:13,160 --> 00:17:15,960 Speaker 1: and this would be so much better. And so I 273 00:17:16,040 --> 00:17:18,679 Speaker 1: have about two weeks to change his mind on this, 274 00:17:18,720 --> 00:17:21,280 Speaker 1: because I'm not going to give up. Because yes, it 275 00:17:21,320 --> 00:17:24,000 Speaker 1: fits within the Senate Ethics rules to do this, but 276 00:17:24,200 --> 00:17:26,639 Speaker 1: you will have to put it on a disclosure form, 277 00:17:26,960 --> 00:17:29,159 Speaker 1: and you will have to explain it all on a 278 00:17:29,200 --> 00:17:32,000 Speaker 1: disclosure form, and the Buffalo News and the New York 279 00:17:32,000 --> 00:17:34,480 Speaker 1: Post are going to see that disclosure form, and then 280 00:17:34,600 --> 00:17:36,800 Speaker 1: I am going to have to explain it, and I'm 281 00:17:36,840 --> 00:17:40,600 Speaker 1: not gonna do that. And in fact, the unspoken subtext 282 00:17:40,640 --> 00:17:43,160 Speaker 1: of where I am going with this with the Senator 283 00:17:43,359 --> 00:17:46,439 Speaker 1: was if you do this, I will quit. And the 284 00:17:46,480 --> 00:17:48,600 Speaker 1: reason I will quit is I don't want to have 285 00:17:48,640 --> 00:17:50,359 Speaker 1: to explain it. And by the way, the problem with 286 00:17:50,440 --> 00:17:53,160 Speaker 1: most politicians is that they don't have anyone around them 287 00:17:53,160 --> 00:17:56,480 Speaker 1: ever who would quit over something like that or anything else. 288 00:17:56,760 --> 00:17:58,600 Speaker 1: So I work on him, and I work on him, 289 00:17:58,600 --> 00:18:01,320 Speaker 1: and I have the schedule of FI the Delta flights 290 00:18:01,320 --> 00:18:05,000 Speaker 1: connecting through Atlanta, you know, from Washington, just terrible, right, 291 00:18:05,320 --> 00:18:09,360 Speaker 1: and it's awful, And I keep working it and he 292 00:18:09,440 --> 00:18:12,119 Speaker 1: keeps saying no, no, no, and he's getting like huffy 293 00:18:12,200 --> 00:18:15,280 Speaker 1: and angry about it. And then literally the day before, 294 00:18:15,400 --> 00:18:19,680 Speaker 1: like literally the day before, he finally says, uh, yeah, 295 00:18:20,640 --> 00:18:27,119 Speaker 1: Shiloh will will do Delta through a laptop. And you 296 00:18:27,160 --> 00:18:31,800 Speaker 1: know what he knew. He knew. I never said to him, 297 00:18:32,040 --> 00:18:35,520 Speaker 1: you know, if you do this private plane, then I'm 298 00:18:35,520 --> 00:18:38,040 Speaker 1: going to leave. I never said that, but I think 299 00:18:38,080 --> 00:18:43,040 Speaker 1: he could feel the force of how seriously I felt this, 300 00:18:43,480 --> 00:18:46,480 Speaker 1: And ultimately what I did get through to him was 301 00:18:46,840 --> 00:18:50,199 Speaker 1: there's nothing we will be able to defensively say to 302 00:18:50,359 --> 00:18:54,040 Speaker 1: the people of Buffalo, who might when this story breaks, 303 00:18:54,480 --> 00:18:58,439 Speaker 1: be buried under two feet of snow. There is nothing 304 00:18:58,920 --> 00:19:01,000 Speaker 1: that I will be able to say to them, right, 305 00:19:01,320 --> 00:19:04,080 Speaker 1: that will make them say, oh, I'm glad he took 306 00:19:04,080 --> 00:19:06,440 Speaker 1: the private yet. I'm glad he took his friend's private yet. 307 00:19:07,800 --> 00:19:10,520 Speaker 1: And we were a mile away from the ethics line 308 00:19:10,560 --> 00:19:13,000 Speaker 1: on this Okay, it wasn't even close to the ethics line. 309 00:19:13,040 --> 00:19:16,800 Speaker 1: It was a mile away, and I wouldn't let it happen. 310 00:19:16,960 --> 00:19:19,720 Speaker 1: And that's the way it should be. The ethics line 311 00:19:19,800 --> 00:19:22,600 Speaker 1: is here, you don't put your toe on it. You know, 312 00:19:22,680 --> 00:19:24,480 Speaker 1: you get as far away from it as you can. 313 00:19:24,720 --> 00:19:27,000 Speaker 1: You get to the point where you say, I will 314 00:19:27,119 --> 00:19:32,400 Speaker 1: never ever be in a public discussion about an ethics 315 00:19:32,480 --> 00:19:36,879 Speaker 1: choice I make in this arena. And Clarence Thomas says, 316 00:19:37,760 --> 00:19:39,000 Speaker 1: you know what, I don't want to know where the 317 00:19:39,040 --> 00:19:40,800 Speaker 1: line is. I just want to ride in a private 318 00:19:40,840 --> 00:19:46,439 Speaker 1: plane in the yachts. Don't tell me about lines. Laurence O'Donnell, 319 00:19:46,560 --> 00:19:49,080 Speaker 1: thank you so much for coming. I hope you'll come back. 320 00:19:54,560 --> 00:19:57,520 Speaker 1: Margaret's Ellivan is a columnist at The Guardian US on 321 00:19:57,800 --> 00:20:02,120 Speaker 1: media and culture. She's also the author of Newsroom Confidential, 322 00:20:02,520 --> 00:20:07,520 Speaker 1: Welcome Too Fast, Politics, Welcome Back, My Friend and Yours. 323 00:20:07,600 --> 00:20:10,920 Speaker 1: Margaret Sullivan, Thank you, Molly, it's nice to be back 324 00:20:10,960 --> 00:20:13,800 Speaker 1: with you. I am just delighted to have you on 325 00:20:13,960 --> 00:20:17,840 Speaker 1: full disclosure. We are friends, and I have to really 326 00:20:18,160 --> 00:20:21,199 Speaker 1: handle you to get you on the podcast, so I 327 00:20:21,320 --> 00:20:25,000 Speaker 1: really appreciate it when you agree. You're very welcome, and 328 00:20:25,240 --> 00:20:28,200 Speaker 1: it is true that we are friends. We're pretty good buddies. Actually, 329 00:20:28,359 --> 00:20:32,080 Speaker 1: we survived COVID together by walking in the park and 330 00:20:32,480 --> 00:20:35,960 Speaker 1: have consulted on many things. That's right. I first want 331 00:20:35,960 --> 00:20:38,160 Speaker 1: to talk to you about Evan. Tell us a little 332 00:20:38,160 --> 00:20:41,920 Speaker 1: bit about Evan. Yes, so we're talking about Evan Gershkovic, 333 00:20:42,240 --> 00:20:47,240 Speaker 1: who very unfortunately and very unfairly has been detained in 334 00:20:47,359 --> 00:20:51,159 Speaker 1: Russia on espionage charges. He is a reporter for the 335 00:20:51,200 --> 00:20:54,239 Speaker 1: Wall Street Journal. He's thirty one years old. I know 336 00:20:54,359 --> 00:20:58,320 Speaker 1: Evan pretty well because so I was the public editor 337 00:20:58,320 --> 00:21:01,879 Speaker 1: at the New York Times for about four years until 338 00:21:02,080 --> 00:21:06,120 Speaker 1: twenty sixteen. And that job is very strange. It doesn't 339 00:21:06,160 --> 00:21:08,919 Speaker 1: consist anymore. But it was the job of sort of 340 00:21:08,960 --> 00:21:13,720 Speaker 1: reader representative, ambud's woman in my case, and kind of 341 00:21:13,760 --> 00:21:17,440 Speaker 1: an internal media critic. And it's an isolating job that 342 00:21:17,960 --> 00:21:20,400 Speaker 1: you know you are crazy to take, but I did, 343 00:21:20,640 --> 00:21:23,439 Speaker 1: and I always had one assistant, and I kind of 344 00:21:23,520 --> 00:21:27,840 Speaker 1: rotated through a few different young wonderful, brilliant young people, 345 00:21:28,080 --> 00:21:30,760 Speaker 1: all of whom have gone on to do incredible things. 346 00:21:31,000 --> 00:21:34,199 Speaker 1: But Evan was the last one of them. And that 347 00:21:34,320 --> 00:21:37,840 Speaker 1: was so it was in twenty sixteen, and he was 348 00:21:38,119 --> 00:21:40,880 Speaker 1: twenty three or twenty four years old. He was one 349 00:21:40,960 --> 00:21:46,000 Speaker 1: year out of Bowden College and fresh faced, very handsome, 350 00:21:46,520 --> 00:21:51,720 Speaker 1: very good natured, smart, driven young man, and he helped 351 00:21:52,080 --> 00:21:55,359 Speaker 1: me with this difficult job. He kind of did the 352 00:21:55,400 --> 00:21:59,440 Speaker 1: triage of the complaints coming in from readers, and so 353 00:21:59,520 --> 00:22:04,040 Speaker 1: they complaints a week about The New York Times, and 354 00:22:04,080 --> 00:22:07,439 Speaker 1: so we would get the first products. A horrible job, 355 00:22:07,880 --> 00:22:10,119 Speaker 1: it is, and then he would say to me, you know, 356 00:22:10,200 --> 00:22:12,760 Speaker 1: my assistants would say to me, well, we're hearing a 357 00:22:12,760 --> 00:22:14,960 Speaker 1: lot about this, and maybe you want to take this 358 00:22:15,080 --> 00:22:17,320 Speaker 1: up in a blog post or at a column. So, 359 00:22:17,640 --> 00:22:19,800 Speaker 1: you know, we got to know each other really well 360 00:22:20,320 --> 00:22:24,280 Speaker 1: because we were in such a very tight, little two 361 00:22:24,320 --> 00:22:27,440 Speaker 1: member department. And I also was very fond of Evan 362 00:22:27,560 --> 00:22:30,959 Speaker 1: because you know, for many reasons, but one was that 363 00:22:31,000 --> 00:22:33,480 Speaker 1: he was a little younger than my son Alex and 364 00:22:33,520 --> 00:22:36,879 Speaker 1: a little older than my daughter Grace, and so you know, 365 00:22:37,160 --> 00:22:39,679 Speaker 1: we had that kind of thing going on as well. 366 00:22:39,720 --> 00:22:43,320 Speaker 1: A week or two ago I'm in Washington, DC, and 367 00:22:43,359 --> 00:22:46,240 Speaker 1: I'm in a hotel room by myself, and it's the morning, 368 00:22:46,240 --> 00:22:50,119 Speaker 1: and I start seeing these headlines about a Wall Street 369 00:22:50,160 --> 00:22:55,359 Speaker 1: journal reporter detained on espionage charges in Russia. And my 370 00:22:55,440 --> 00:22:59,600 Speaker 1: initial reaction was, oh, my gosh, that's so awful. And 371 00:22:59,640 --> 00:23:02,080 Speaker 1: I start thinking about what a difficult time this is 372 00:23:02,119 --> 00:23:05,000 Speaker 1: for journalists and how you know, we're in kind of 373 00:23:05,000 --> 00:23:08,280 Speaker 1: a new Cold War and Putin's been cracking down on journalists. 374 00:23:08,320 --> 00:23:12,440 Speaker 1: And then I took another look at the headshot the photograph, 375 00:23:12,480 --> 00:23:15,520 Speaker 1: and I realized it was Evan, And I mean, I 376 00:23:15,560 --> 00:23:18,280 Speaker 1: felt like the color of the world just changed. You know, 377 00:23:18,400 --> 00:23:22,640 Speaker 1: it was a devastating moment, which hasn't actually improved since then. 378 00:23:23,840 --> 00:23:27,600 Speaker 1: It's true, I don't want to laugh. It's just so depressing. Well, 379 00:23:27,600 --> 00:23:30,080 Speaker 1: he's you know, he's in prison. Can you explain a 380 00:23:30,080 --> 00:23:36,320 Speaker 1: little bit about exactly what the story is he was arrested. Yeah, 381 00:23:36,520 --> 00:23:39,560 Speaker 1: so he you know, I mean, I don't really know 382 00:23:39,720 --> 00:23:44,800 Speaker 1: exactly what the reason was. He was arrested on espionage charges, 383 00:23:44,920 --> 00:23:49,119 Speaker 1: but that are clearly bullshit. Yeah, I mean, the thought 384 00:23:49,320 --> 00:23:54,040 Speaker 1: was that he was gathering information about the Russian military, 385 00:23:54,160 --> 00:23:58,440 Speaker 1: which is very possibly true because reporters do gather information, 386 00:23:58,800 --> 00:24:02,440 Speaker 1: to gather information together documents. In fact, that is the 387 00:24:02,480 --> 00:24:06,760 Speaker 1: definition of journalism and reporting. And it's not a crime. 388 00:24:07,200 --> 00:24:09,000 Speaker 1: It's not a crime here, and it shouldn't be a 389 00:24:09,000 --> 00:24:13,240 Speaker 1: crime anywhere, because this is how we get informed. And 390 00:24:13,359 --> 00:24:16,080 Speaker 1: you know, as you know, Molly, a lot of journalists 391 00:24:16,160 --> 00:24:20,600 Speaker 1: left Moscow and left Russia altogether because it's become so 392 00:24:20,680 --> 00:24:24,440 Speaker 1: dangerous for journalists, and a lot of Russian journalists are 393 00:24:24,680 --> 00:24:28,359 Speaker 1: in prison or have been detained, I believe very unfairly. 394 00:24:28,560 --> 00:24:31,840 Speaker 1: But this is the first time that a foreign correspondent 395 00:24:32,000 --> 00:24:36,560 Speaker 1: has been arrested and detained in the modern era. So 396 00:24:36,920 --> 00:24:42,600 Speaker 1: is a very unusual, very alarming, and very appalling kind 397 00:24:42,600 --> 00:24:45,200 Speaker 1: of thing to have happened. So one of the things 398 00:24:45,400 --> 00:24:48,720 Speaker 1: that I've read about the editor of the Wall Street Journal, 399 00:24:48,720 --> 00:24:51,320 Speaker 1: the new editor of the Wall Street Journal, said that 400 00:24:51,520 --> 00:24:54,520 Speaker 1: one of the most important things that when you have 401 00:24:54,800 --> 00:24:57,960 Speaker 1: a journalist like that who gets detained, is to keep 402 00:24:58,040 --> 00:25:01,840 Speaker 1: him in the news. That's right, Emma Tucker, who is 403 00:25:01,880 --> 00:25:04,720 Speaker 1: the real as you say, the relatively new top editor 404 00:25:04,720 --> 00:25:07,080 Speaker 1: of the Wall Street Journal, who seems to be doing 405 00:25:07,119 --> 00:25:11,560 Speaker 1: a great job with this situation, has said very clearly 406 00:25:11,560 --> 00:25:15,800 Speaker 1: that you know, people and should keep him top of mind. 407 00:25:15,840 --> 00:25:19,080 Speaker 1: I mean, the worst thing is for somebody like Evan 408 00:25:19,160 --> 00:25:22,960 Speaker 1: to be forgotten and languishing in prison in Russia, and 409 00:25:23,080 --> 00:25:26,359 Speaker 1: you know who knows what happens to him. So the journal, 410 00:25:26,440 --> 00:25:29,200 Speaker 1: the Wall Street Journal has been doing a wonderful job 411 00:25:29,240 --> 00:25:31,960 Speaker 1: I think of writing stories about this. They did a 412 00:25:32,000 --> 00:25:35,760 Speaker 1: great profile of Evan. They have a hashtag I Stand 413 00:25:35,760 --> 00:25:39,080 Speaker 1: with Evan, And the thought is that you know, whether 414 00:25:39,119 --> 00:25:42,600 Speaker 1: you're a journalist or a non journalist, regular person, you 415 00:25:42,760 --> 00:25:46,640 Speaker 1: can at least, you know, keep him in the conversation. 416 00:25:47,240 --> 00:25:49,800 Speaker 1: And I think that's really important. So I want to 417 00:25:49,840 --> 00:25:54,240 Speaker 1: ask you what we're on this topic of authoritarian government's 418 00:25:54,320 --> 00:25:59,920 Speaker 1: not liking media coverage. Elon Mosk yesterday just sort of 419 00:26:00,520 --> 00:26:03,959 Speaker 1: had this. He decided that he was going to make 420 00:26:04,000 --> 00:26:10,080 Speaker 1: a false equivalency between media outlets like the British Broadcasting Company, 421 00:26:10,280 --> 00:26:12,399 Speaker 1: which are media out let's say, get some money from 422 00:26:12,440 --> 00:26:17,720 Speaker 1: the British people, versus Russia today, which is an arm 423 00:26:17,800 --> 00:26:20,600 Speaker 1: of the state. You know, he's going to keep the 424 00:26:20,640 --> 00:26:25,840 Speaker 1: algorithms so that all of these actors good and bad 425 00:26:26,119 --> 00:26:30,280 Speaker 1: get the same kind of boost from the algorithm. Can 426 00:26:30,359 --> 00:26:34,120 Speaker 1: you talk about where you think that goes and what 427 00:26:34,200 --> 00:26:37,240 Speaker 1: you think about that. Yeah, the first piece of that 428 00:26:37,320 --> 00:26:41,639 Speaker 1: I heard about was when NPR was branded on Twitter 429 00:26:41,760 --> 00:26:46,240 Speaker 1: as state affiliated media. Right. NPR gets a very tiny 430 00:26:46,320 --> 00:26:50,680 Speaker 1: percentage of its revenue from the government. I mean, it's 431 00:26:50,680 --> 00:26:54,280 Speaker 1: like one something like that. Most of its funding comes 432 00:26:54,359 --> 00:26:56,800 Speaker 1: from listeners like you and me as they like to. 433 00:26:57,480 --> 00:27:00,480 Speaker 1: And similarly, the BBC does get some government funding, but 434 00:27:00,920 --> 00:27:03,600 Speaker 1: they are not state affiliated in the sense that they're 435 00:27:03,640 --> 00:27:07,840 Speaker 1: an arm of the government or that elected officials or 436 00:27:07,960 --> 00:27:10,199 Speaker 1: bureaucrats tell them what to do. I mean, there's a 437 00:27:10,320 --> 00:27:14,720 Speaker 1: very very they're regular independent media. Right. It's certainly misleading 438 00:27:14,840 --> 00:27:18,840 Speaker 1: at the very least, and probably worse than misleading. I 439 00:27:18,920 --> 00:27:23,200 Speaker 1: actually harmful for Twitter for Moss to be branding those 440 00:27:23,359 --> 00:27:26,800 Speaker 1: news organizations that way. It makes people think that there's 441 00:27:26,840 --> 00:27:29,600 Speaker 1: something that they're not, and it's really not right. It 442 00:27:29,760 --> 00:27:32,800 Speaker 1: is interesting, though, I mean, here is someone who has 443 00:27:32,920 --> 00:27:37,000 Speaker 1: many many business dealings. He has factors in China, he 444 00:27:37,080 --> 00:27:39,879 Speaker 1: has a product he needs to sell around the world. 445 00:27:40,280 --> 00:27:43,320 Speaker 1: I mean Twitter is a technology company, but ultimately I 446 00:27:43,359 --> 00:27:46,040 Speaker 1: mean he wants to make it a media company. Well, 447 00:27:46,080 --> 00:27:49,080 Speaker 1: I mean I've always felt that the big platforms, and 448 00:27:49,119 --> 00:27:51,919 Speaker 1: I would include Twitter and Facebook and others are in 449 00:27:52,040 --> 00:27:56,080 Speaker 1: fact media companies because they are a source of they're 450 00:27:56,080 --> 00:27:59,240 Speaker 1: a source of I mean, they don't produce news, but 451 00:27:59,359 --> 00:28:03,200 Speaker 1: they are an incredible source of distributing the news, and 452 00:28:03,280 --> 00:28:08,080 Speaker 1: so there's incredible power there. And pretty much everything that's 453 00:28:08,080 --> 00:28:12,400 Speaker 1: happened to Twitter since Musk bought it has been damaging 454 00:28:12,520 --> 00:28:15,080 Speaker 1: to the way we use it and the way that 455 00:28:15,240 --> 00:28:18,240 Speaker 1: it's and I think to certainly too its revenue and 456 00:28:18,280 --> 00:28:22,080 Speaker 1: it's financial future, but also to the usefulness of it. 457 00:28:22,359 --> 00:28:25,719 Speaker 1: I mean, it always had some problems, as we know, 458 00:28:26,080 --> 00:28:28,280 Speaker 1: and could even be described, you know, at times as 459 00:28:28,359 --> 00:28:31,880 Speaker 1: sort of assesspool. But in general, you know, I think 460 00:28:31,880 --> 00:28:34,719 Speaker 1: it was a place where you could get good information 461 00:28:34,840 --> 00:28:37,840 Speaker 1: and you could distribute your work, and you could promote 462 00:28:37,840 --> 00:28:40,920 Speaker 1: other people's work and now and sort of choose how 463 00:28:40,960 --> 00:28:44,160 Speaker 1: you wanted information to come to you. And a lot 464 00:28:44,200 --> 00:28:46,880 Speaker 1: of that has gotten very messed up. And you know, 465 00:28:46,960 --> 00:28:51,120 Speaker 1: one symbol of that is the verified check mark, which 466 00:28:51,440 --> 00:28:54,360 Speaker 1: you know, for a long time was a way that 467 00:28:54,400 --> 00:28:56,920 Speaker 1: you could say, as a user, you could say, oh, 468 00:28:57,080 --> 00:28:59,240 Speaker 1: is this a fake New York Times or is that 469 00:29:00,040 --> 00:29:03,400 Speaker 1: actually the New York Times. And so now, as Musk says, 470 00:29:03,800 --> 00:29:07,320 Speaker 1: he wants people to basically buy that check mark or 471 00:29:07,360 --> 00:29:11,680 Speaker 1: buy that verification, so now it's pointless. In fact, if 472 00:29:11,680 --> 00:29:15,400 Speaker 1: it comes off the real ones and is only available 473 00:29:15,440 --> 00:29:18,760 Speaker 1: to those who buy it, it will be actively misleading. 474 00:29:18,960 --> 00:29:22,520 Speaker 1: So that's a bad move. Yeah. It's super interesting though, right, 475 00:29:22,560 --> 00:29:25,800 Speaker 1: because we have come to the moment where technology and 476 00:29:25,960 --> 00:29:30,440 Speaker 1: media they've gone from using our content for free to 477 00:29:30,480 --> 00:29:34,360 Speaker 1: build their platforms to wanting to charge us to use 478 00:29:34,520 --> 00:29:37,880 Speaker 1: our content, right exactly. And it's very frustrating and at 479 00:29:37,880 --> 00:29:41,080 Speaker 1: the same time, so for my friends who don't use Twitter, 480 00:29:41,560 --> 00:29:44,040 Speaker 1: they'll say it's dumb, why don't you just come off it? 481 00:29:44,440 --> 00:29:48,560 Speaker 1: But for journalists it is a really important and valuable tool. 482 00:29:49,000 --> 00:29:52,640 Speaker 1: There's nothing so far that has replaced it as sort 483 00:29:52,640 --> 00:29:55,640 Speaker 1: of a gathering place and a place to develop sources 484 00:29:55,640 --> 00:29:58,560 Speaker 1: in a place to quickly find information and follow breaking 485 00:29:58,560 --> 00:30:01,560 Speaker 1: news and all that stuff, or meet new friends. Right, Molly, 486 00:30:01,840 --> 00:30:05,600 Speaker 1: that's how we met pretty much. Well that's not actually 487 00:30:05,640 --> 00:30:08,560 Speaker 1: how we met, but close enough. Yeah, no, it's not, 488 00:30:08,880 --> 00:30:11,520 Speaker 1: but what we had established that we kind of liked 489 00:30:11,520 --> 00:30:13,840 Speaker 1: each other on Twitter, that I met you in person, 490 00:30:13,920 --> 00:30:15,840 Speaker 1: it was like meeting an old friend even though we 491 00:30:15,880 --> 00:30:19,800 Speaker 1: didn't know each other. Oh yeah, I think it's a 492 00:30:19,800 --> 00:30:23,120 Speaker 1: good point though, that we find ourselves in a real 493 00:30:23,840 --> 00:30:28,120 Speaker 1: place of dependent Well we'll see. I mean some people 494 00:30:28,160 --> 00:30:32,080 Speaker 1: have left, but they also seemed to kind of come 495 00:30:32,120 --> 00:30:35,560 Speaker 1: trickling back as well. So I mean, I think that 496 00:30:35,640 --> 00:30:38,120 Speaker 1: I've sort of changed my use of Twitter a little 497 00:30:38,160 --> 00:30:42,600 Speaker 1: bit by being more careful and less you know, just 498 00:30:42,680 --> 00:30:45,200 Speaker 1: sort of being a little bit more passive. I'm more 499 00:30:45,280 --> 00:30:49,080 Speaker 1: likely to sort of lurk and read things rather than 500 00:30:49,160 --> 00:30:53,240 Speaker 1: necessarily post a lot of original stuff myself, although I 501 00:30:53,280 --> 00:30:55,080 Speaker 1: always post, you know, I write a column for The 502 00:30:55,120 --> 00:30:57,880 Speaker 1: Guardian and I do post that all the time, and 503 00:30:57,920 --> 00:30:59,960 Speaker 1: it's helpful, you know, it helps get the word out 504 00:31:00,040 --> 00:31:02,160 Speaker 1: that hey, here's this thing, you might want to read it. 505 00:31:02,360 --> 00:31:06,560 Speaker 1: So I'm curious what you think about the sort of 506 00:31:06,640 --> 00:31:09,400 Speaker 1: Trump news cycle that we'd just come in and out 507 00:31:09,400 --> 00:31:13,520 Speaker 1: of very quickly. Well, I mean it's been fascinating. As 508 00:31:14,040 --> 00:31:16,640 Speaker 1: you know, we can never as a society seemed to 509 00:31:16,640 --> 00:31:20,000 Speaker 1: tear our eyes from Donald Trump, no matter what, and 510 00:31:20,040 --> 00:31:22,880 Speaker 1: so in that sense, it's just been another chapter of 511 00:31:22,920 --> 00:31:28,520 Speaker 1: the insanity. But I do think that his base will 512 00:31:28,560 --> 00:31:31,520 Speaker 1: never desert him. Trump has said a lot of false things, 513 00:31:31,520 --> 00:31:33,920 Speaker 1: but I actually think one of the truer things he 514 00:31:34,000 --> 00:31:37,040 Speaker 1: said early on was that he could probably shoot someone 515 00:31:37,080 --> 00:31:39,600 Speaker 1: on Fifth Avenue and his base would not desert him. 516 00:31:39,720 --> 00:31:43,280 Speaker 1: That seems to be sort of true, and that, you know, 517 00:31:43,440 --> 00:31:47,480 Speaker 1: being indicted, being arraigned, being charged with all these felonies 518 00:31:47,760 --> 00:31:52,440 Speaker 1: has only helped him fundraise and made his base of 519 00:31:52,600 --> 00:31:56,360 Speaker 1: followers feel more closely tied to him. But I do 520 00:31:56,480 --> 00:32:00,760 Speaker 1: think that a lot of people who are not the closest, 521 00:32:00,840 --> 00:32:06,120 Speaker 1: the most maga hat wearing people have gotten dissolution. And 522 00:32:06,240 --> 00:32:10,400 Speaker 1: while I believe that journalists should not make predictions because 523 00:32:10,400 --> 00:32:14,400 Speaker 1: we're very, very very bad at it, I will nevertheless 524 00:32:14,400 --> 00:32:18,400 Speaker 1: say that I think that he could be and likely 525 00:32:18,560 --> 00:32:22,080 Speaker 1: will be the Republican nominee for president. But I think 526 00:32:22,120 --> 00:32:25,400 Speaker 1: that his ability to actually get elected in a general 527 00:32:25,400 --> 00:32:29,440 Speaker 1: election has been somewhat damaged. Yeah, I mean, it does 528 00:32:29,560 --> 00:32:32,840 Speaker 1: seem like that, and he did lose last time. So 529 00:32:32,880 --> 00:32:35,480 Speaker 1: if he runs against Biden, which again is looking more 530 00:32:35,520 --> 00:32:38,920 Speaker 1: likely since Biden has now told l Roker of all people, 531 00:32:40,560 --> 00:32:42,800 Speaker 1: run No, not that he's planning to run, but that 532 00:32:42,880 --> 00:32:45,960 Speaker 1: he's planning to have more Easter egg roles at the 533 00:32:46,000 --> 00:32:52,640 Speaker 1: White House, so that you know, I mean, who among us? Yeah, 534 00:32:52,680 --> 00:32:55,160 Speaker 1: So I'm curious, you know here you are. You've been 535 00:32:55,200 --> 00:32:57,560 Speaker 1: the public editor of The Times, you have written a 536 00:32:57,600 --> 00:32:59,840 Speaker 1: media column from the Washington Post, and now you're reading 537 00:32:59,840 --> 00:33:02,640 Speaker 1: a writing a media column for The Guardian. I was 538 00:33:02,720 --> 00:33:06,640 Speaker 1: curious to know you have been really in the forefront 539 00:33:06,680 --> 00:33:10,239 Speaker 1: of covering the media. Have we gotten batter well in 540 00:33:10,280 --> 00:33:12,880 Speaker 1: some ways? I mean, I think that we've learned some things. 541 00:33:13,080 --> 00:33:16,600 Speaker 1: And it was a steep learning curve with Trump because 542 00:33:17,120 --> 00:33:20,840 Speaker 1: there was this tendency to cover Trump the way other 543 00:33:21,280 --> 00:33:24,600 Speaker 1: elected officials or would be elected officials had been covered, 544 00:33:24,640 --> 00:33:26,520 Speaker 1: you know, kind of give them the benefit of the 545 00:33:26,560 --> 00:33:29,760 Speaker 1: doubt when they said something newsworthy, put it in the headline, 546 00:33:30,160 --> 00:33:32,560 Speaker 1: all of that kind of thing. But I think we 547 00:33:32,680 --> 00:33:38,080 Speaker 1: have learned some lessons about not constantly magnifying false information, 548 00:33:38,760 --> 00:33:43,040 Speaker 1: so that is good. But there is still a tendency 549 00:33:43,280 --> 00:33:46,720 Speaker 1: to focus too much on things that are outrageous, to 550 00:33:46,800 --> 00:33:51,600 Speaker 1: go with the sensational rather than the substantial, and to 551 00:33:51,640 --> 00:33:55,120 Speaker 1: some extent, we're all obsessed with what could be called 552 00:33:55,200 --> 00:33:57,840 Speaker 1: engagement if you want to be polite about it, or 553 00:33:57,920 --> 00:34:01,680 Speaker 1: could clicks if you don't want to be so polite 554 00:34:01,720 --> 00:34:06,480 Speaker 1: about it. And we as media people in general, work 555 00:34:06,560 --> 00:34:10,840 Speaker 1: for corporations, not everybody. So there's a profit motive that's 556 00:34:11,000 --> 00:34:13,960 Speaker 1: running a lot of the decision making and that is 557 00:34:14,000 --> 00:34:16,520 Speaker 1: hard to get away from. Yeah, it is such an 558 00:34:16,560 --> 00:34:23,040 Speaker 1: interesting and strange time in American life because we're seeing this, 559 00:34:23,480 --> 00:34:27,920 Speaker 1: how can media survive in a world where you know, 560 00:34:28,080 --> 00:34:32,040 Speaker 1: some tech owners really hate the media? Yeah, well, I 561 00:34:32,040 --> 00:34:34,799 Speaker 1: mean that has been what we've seen play out with Musk. 562 00:34:35,000 --> 00:34:38,680 Speaker 1: But then there's also you know, the whole Fox News drama, right, Oh, yeah, 563 00:34:38,760 --> 00:34:41,120 Speaker 1: will you talk about that a little bit? Well, I mean, 564 00:34:41,320 --> 00:34:43,960 Speaker 1: you know, basically, we're coming up on the trial in 565 00:34:44,040 --> 00:34:50,279 Speaker 1: Delaware this month of Dominion voting Systems suing Fox for 566 00:34:50,640 --> 00:34:55,880 Speaker 1: billions of dollars for harming their reputation about whether they 567 00:34:56,360 --> 00:35:00,400 Speaker 1: rigged the election, which was something that was promi gated 568 00:35:01,360 --> 00:35:04,719 Speaker 1: after the twenty twenty election on Fox News, at least 569 00:35:04,760 --> 00:35:08,960 Speaker 1: by their opinion hosts and and so on. So dominion 570 00:35:09,200 --> 00:35:12,560 Speaker 1: did not like that, and now we're seeing it play out. 571 00:35:12,600 --> 00:35:16,279 Speaker 1: And what's happened in the pre trial filings is that 572 00:35:16,400 --> 00:35:19,359 Speaker 1: all of this stuff has come out about you know, 573 00:35:19,400 --> 00:35:22,239 Speaker 1: the text messages and the emails that have come out 574 00:35:22,320 --> 00:35:28,399 Speaker 1: about how vehemently Fox did not want to say some 575 00:35:28,480 --> 00:35:32,720 Speaker 1: of the true things, like the election was legit and 576 00:35:33,000 --> 00:35:36,520 Speaker 1: because their audience, their vast audience didn't want to hear 577 00:35:36,520 --> 00:35:40,200 Speaker 1: it and was decamping to more, you know, even more 578 00:35:40,360 --> 00:35:44,080 Speaker 1: right wing places like Newsmax in one America. So it's 579 00:35:44,080 --> 00:35:47,320 Speaker 1: going to be really interesting to see how it plays out. 580 00:35:47,360 --> 00:35:50,640 Speaker 1: I mean it so far we're not talking about a settlement. 581 00:35:50,680 --> 00:35:54,080 Speaker 1: We're talking about an actual trial, and I think it's 582 00:35:54,120 --> 00:35:56,799 Speaker 1: going to be riveting. Yeah, I mean, it seems like 583 00:35:56,960 --> 00:36:00,480 Speaker 1: Delaware is the hot it's right now now, just kidding, 584 00:36:00,760 --> 00:36:03,360 Speaker 1: but I mean it does seem like Dominion wants to 585 00:36:03,400 --> 00:36:06,160 Speaker 1: see hosts on the stand. They want to see Rupert 586 00:36:06,239 --> 00:36:09,759 Speaker 1: Murdoch on the stand. Yeah. Yeah, And so Rupert's free now, 587 00:36:09,800 --> 00:36:12,680 Speaker 1: he's not engaged anymore, so I hope that he's going 588 00:36:12,719 --> 00:36:15,359 Speaker 1: to be available. And you never know, you know, you 589 00:36:15,360 --> 00:36:17,960 Speaker 1: can meet people in court, so why not. I mean, 590 00:36:19,040 --> 00:36:22,239 Speaker 1: I'm making a place to meet wife number whatever. He's 591 00:36:22,280 --> 00:36:26,279 Speaker 1: on five, I think, I guess, or have there been five? 592 00:36:26,360 --> 00:36:28,719 Speaker 1: I can't keep it straight. That was like a what 593 00:36:28,880 --> 00:36:33,000 Speaker 1: two week engagement didn't really it didn't really pan out, 594 00:36:33,040 --> 00:36:35,319 Speaker 1: really pan out, But you know, I mean, there's life 595 00:36:35,400 --> 00:36:39,880 Speaker 1: is really long, I guess, so you never know. Yeah, 596 00:36:40,080 --> 00:36:43,480 Speaker 1: very interesting stuff, Margaret Sullivan. I hope I can convince 597 00:36:43,560 --> 00:36:46,000 Speaker 1: you to come back at some point. Always fun to 598 00:36:46,000 --> 00:36:53,200 Speaker 1: talk Edward. Isaac Dovert is a senior reporter at CNN. Welcome, 599 00:36:53,239 --> 00:36:56,640 Speaker 1: Too Fast Politics, Isaac. Thanks, it's great to be here. 600 00:36:56,880 --> 00:37:00,560 Speaker 1: So I wanted to have you on because I wanted 601 00:37:00,600 --> 00:37:04,799 Speaker 1: to talk to you about abortion rights, but I want 602 00:37:04,840 --> 00:37:06,239 Speaker 1: to talk to you about some other stuff too, So 603 00:37:06,360 --> 00:37:09,880 Speaker 1: get ready. Okay, So this article you wrote really struck 604 00:37:09,920 --> 00:37:12,400 Speaker 1: me because it's like something we talked about a lot 605 00:37:12,440 --> 00:37:15,640 Speaker 1: on this podcast. Democrats pushed abortion rights to the ballot 606 00:37:15,920 --> 00:37:20,160 Speaker 1: in twenty thirty four, using an old Goop playbook, explain, well, 607 00:37:20,200 --> 00:37:24,400 Speaker 1: what we've seen over the last year since the Dobs 608 00:37:24,400 --> 00:37:27,080 Speaker 1: decision leaked and then when it finally came out a 609 00:37:27,080 --> 00:37:30,960 Speaker 1: couple of weeks after that, is that this issue is 610 00:37:31,080 --> 00:37:35,959 Speaker 1: incredibly politically potent and in ways that I don't think 611 00:37:36,040 --> 00:37:39,959 Speaker 1: anybody had really anticipated. And you saw that prove out 612 00:37:40,080 --> 00:37:43,120 Speaker 1: in some of the ballot meaisters. Remember when Kansas, which 613 00:37:43,200 --> 00:37:45,839 Speaker 1: was not a state that anybody expected would be an 614 00:37:46,200 --> 00:37:50,360 Speaker 1: abortion rights state, had that ballot measure that protected abortion 615 00:37:50,440 --> 00:37:54,359 Speaker 1: rights in the end, and by a significant margin, given 616 00:37:54,400 --> 00:37:58,440 Speaker 1: that it was Kansas, but then going into the midterms 617 00:37:58,440 --> 00:38:01,640 Speaker 1: in November, abortion rights were really resonating with a lot 618 00:38:01,880 --> 00:38:05,040 Speaker 1: of people, and in Michigan there was a balot measure 619 00:38:05,280 --> 00:38:09,360 Speaker 1: there that also ended up protecting abortion rights. It passed 620 00:38:10,040 --> 00:38:13,399 Speaker 1: with the support for that, but importantly for Democrats who 621 00:38:13,400 --> 00:38:16,239 Speaker 1: were linking things, it was part of powering a lot 622 00:38:16,239 --> 00:38:19,439 Speaker 1: of turnout for Democrats that gave them a very good 623 00:38:19,520 --> 00:38:22,759 Speaker 1: year there. All the statewide races went for Democrats, such 624 00:38:22,760 --> 00:38:26,280 Speaker 1: of house races that were seen as on the bubble 625 00:38:26,680 --> 00:38:29,759 Speaker 1: could go either way, ended up going for Democrats. And 626 00:38:30,160 --> 00:38:33,120 Speaker 1: the lesson that Democrats started to take from that was, Okay, well, 627 00:38:33,120 --> 00:38:36,120 Speaker 1: we should really be talking more about this, apparently, and 628 00:38:36,320 --> 00:38:39,800 Speaker 1: continuing to press it because it is a live, live issue. 629 00:38:40,080 --> 00:38:43,520 Speaker 1: That is all the mindset that they were in going 630 00:38:44,200 --> 00:38:48,520 Speaker 1: into the Wisconsin State Supreme Court race last week, which 631 00:38:48,640 --> 00:38:52,759 Speaker 1: again was supposed to be this very competitive race, very 632 00:38:52,840 --> 00:38:57,120 Speaker 1: narrowly divided state. Wisconsin, the very narrowly divided state obviously 633 00:38:57,200 --> 00:38:59,360 Speaker 1: very close in twenty sixteen and in twenty twenty and 634 00:38:59,400 --> 00:39:02,839 Speaker 1: the presidential elections there. The Senate race in Wisconsin last 635 00:39:02,880 --> 00:39:07,960 Speaker 1: year was a very narrowly divided race between the incombent 636 00:39:08,000 --> 00:39:10,759 Speaker 1: Senator Ron Johnson, who was reelected in Mandela Barnes, So 637 00:39:10,920 --> 00:39:13,680 Speaker 1: it went for the Republicans then, But then the governor 638 00:39:14,000 --> 00:39:19,360 Speaker 1: of the state was reelected Tony Evers, and the attorney general, Democrat, 639 00:39:19,400 --> 00:39:22,880 Speaker 1: was reelected. So that division is there. But this race 640 00:39:23,120 --> 00:39:25,120 Speaker 1: for a state Supreme Court, which is you know, usually 641 00:39:25,160 --> 00:39:28,000 Speaker 1: state Supreme court races and years past, we're not a 642 00:39:28,040 --> 00:39:32,160 Speaker 1: big deal. But this between a huge deal, in large 643 00:39:32,239 --> 00:39:37,600 Speaker 1: part because the way the other judges on the Supreme Court. 644 00:39:37,680 --> 00:39:40,160 Speaker 1: And this is also it's weird to some people that 645 00:39:40,200 --> 00:39:42,840 Speaker 1: there are even elections for a state Supreme Court, but 646 00:39:42,880 --> 00:39:46,279 Speaker 1: they are a Wisconsin but the judges are evenly divided 647 00:39:46,480 --> 00:39:50,160 Speaker 1: in most people's assessment over how they will vote on 648 00:39:50,280 --> 00:39:53,800 Speaker 1: upholding a law that goes back to eighteen forty nine 649 00:39:53,840 --> 00:39:57,040 Speaker 1: that banned abortion in Wisconsin, which would be on the 650 00:39:57,080 --> 00:40:01,720 Speaker 1: books after the Dova's decision. And so this judge, whoever 651 00:40:01,800 --> 00:40:05,320 Speaker 1: was elected, was going to probably be the tie breaking vote. 652 00:40:05,320 --> 00:40:09,480 Speaker 1: And sure enough, one of the main issues in the fact, 653 00:40:09,520 --> 00:40:12,400 Speaker 1: when you look at all the advertising spending that was 654 00:40:12,560 --> 00:40:15,160 Speaker 1: part of this race, it was the top issue was 655 00:40:15,200 --> 00:40:19,440 Speaker 1: abortion rights. And that race, which was not a close 656 00:40:19,520 --> 00:40:21,080 Speaker 1: race at all, In the end, it was an eleven 657 00:40:21,120 --> 00:40:24,640 Speaker 1: point win for the Democratic backhandate the one who will 658 00:40:24,719 --> 00:40:30,960 Speaker 1: vote to preserve abortion rights in Wisconsin. That means two Democrats. Again, 659 00:40:31,040 --> 00:40:34,160 Speaker 1: it's another proofpoint this is an issue that is really 660 00:40:34,200 --> 00:40:38,880 Speaker 1: politically potent. They say that Republicans have overreached, that they 661 00:40:38,960 --> 00:40:42,920 Speaker 1: are continuing to not recognize how people are reacting to this, 662 00:40:43,040 --> 00:40:46,319 Speaker 1: and for them that means talk about abortion rights going 663 00:40:46,360 --> 00:40:50,360 Speaker 1: into next year to all the elections, but also really 664 00:40:50,400 --> 00:40:53,160 Speaker 1: forced the issue by trying to find other states that 665 00:40:53,160 --> 00:40:57,080 Speaker 1: they can put ballot measures on the ballot in places 666 00:40:57,120 --> 00:40:59,359 Speaker 1: that they want to juice turnout. And that goes back 667 00:40:59,400 --> 00:41:02,240 Speaker 1: to something that that's the Republican playbook from two thousand 668 00:41:02,280 --> 00:41:04,920 Speaker 1: and four when Karl Rove did this to help George W. 669 00:41:05,080 --> 00:41:08,600 Speaker 1: Bush when reelection. He oversaw the strategy to put ballot 670 00:41:08,600 --> 00:41:12,080 Speaker 1: measures in a lot of swing states about banning gay marriage. 671 00:41:12,080 --> 00:41:13,920 Speaker 1: So that was banning gay marriage in two thousand and 672 00:41:13,920 --> 00:41:17,160 Speaker 1: four helped Bush. Then in twenty twenty four, it looks 673 00:41:17,160 --> 00:41:19,920 Speaker 1: like it will be protecting abortion rights that Democrats are 674 00:41:19,920 --> 00:41:23,200 Speaker 1: pushing in a hope of helping looks like Joe Biden 675 00:41:23,200 --> 00:41:25,640 Speaker 1: if he indeed runs for reelection seems like he will, 676 00:41:25,960 --> 00:41:28,560 Speaker 1: and a lot of other candidates for the House and 677 00:41:28,640 --> 00:41:31,640 Speaker 1: Senate and governor. I want to get back to this 678 00:41:32,120 --> 00:41:37,760 Speaker 1: idea of balant initiatives helping top of the ticket candidates, 679 00:41:37,760 --> 00:41:40,439 Speaker 1: because that's sort of interesting, isn't it. It's a little 680 00:41:40,440 --> 00:41:43,839 Speaker 1: bit counterintuitive. Well, like it gives people another reason to 681 00:41:43,840 --> 00:41:47,280 Speaker 1: turn out and vote and makes them connect with an issue. 682 00:41:47,800 --> 00:41:52,240 Speaker 1: You have a presidential candidate or even a governor senator candidate, 683 00:41:52,440 --> 00:41:54,560 Speaker 1: and you may think, Okay, well, why do I care 684 00:41:54,560 --> 00:41:57,560 Speaker 1: about that person, or what is it that's really grabbing 685 00:41:57,560 --> 00:42:00,920 Speaker 1: me about that person? But a ballot measure can be 686 00:42:01,280 --> 00:42:04,200 Speaker 1: a reason to go and vote, and it's you see 687 00:42:04,239 --> 00:42:06,799 Speaker 1: that about a lot of things. I remember to go 688 00:42:06,840 --> 00:42:10,560 Speaker 1: back to Michigan actually in twenty eighteen when there was 689 00:42:10,600 --> 00:42:13,120 Speaker 1: also a good year for Democrats then, and one of 690 00:42:13,160 --> 00:42:16,120 Speaker 1: the reasons that was cited to me for why they 691 00:42:16,200 --> 00:42:19,200 Speaker 1: had such a good year in Michigan that year by 692 00:42:19,320 --> 00:42:22,319 Speaker 1: the chair of the Michigan Democratic Party on election night. 693 00:42:22,440 --> 00:42:24,799 Speaker 1: He said to me, the big part of it was 694 00:42:24,880 --> 00:42:28,839 Speaker 1: that there was a measure to legalize marijuana. Right that 695 00:42:29,120 --> 00:42:30,759 Speaker 1: drew a lot of people out, people who might not 696 00:42:30,800 --> 00:42:33,960 Speaker 1: have voted otherwise, including so I mean the younger voters, 697 00:42:34,000 --> 00:42:37,040 Speaker 1: but not just younger voters. That that cuts across a 698 00:42:37,080 --> 00:42:39,279 Speaker 1: lot of groups. That gave people a reason turn out 699 00:42:39,280 --> 00:42:42,359 Speaker 1: to vote, and when they're there. Very rarely do people 700 00:42:42,400 --> 00:42:44,520 Speaker 1: go in to vote and vote on just one thing 701 00:42:44,520 --> 00:42:47,840 Speaker 1: and turn around and so looking for these issues that 702 00:42:47,920 --> 00:42:52,040 Speaker 1: can connect with voters who are likely to be with 703 00:42:52,080 --> 00:42:55,719 Speaker 1: you on other things and then making them get to 704 00:42:55,760 --> 00:42:58,440 Speaker 1: the polls. That's that's what this is about. And it's 705 00:42:58,520 --> 00:43:01,719 Speaker 1: pretty smart because if you think about it, you know, 706 00:43:01,800 --> 00:43:03,799 Speaker 1: one of the things that Biden has been struggling with 707 00:43:03,920 --> 00:43:08,279 Speaker 1: recently is getting excitement among young voters. Yeah, and that's 708 00:43:08,280 --> 00:43:11,520 Speaker 1: a perennial thing. Look, I remember in twenty twelve writing 709 00:43:11,560 --> 00:43:14,560 Speaker 1: an article about whether Obama would be able to connect 710 00:43:14,600 --> 00:43:17,040 Speaker 1: with young voters again like he did in two thousand eight. 711 00:43:17,360 --> 00:43:20,840 Speaker 1: That's a crazy thing to think about. Well, but in 712 00:43:20,920 --> 00:43:23,720 Speaker 1: the end, the youth turnout was there for Obama in twelve, 713 00:43:23,920 --> 00:43:26,720 Speaker 1: the youth turnout was there for Biden in twenty despite 714 00:43:26,719 --> 00:43:29,520 Speaker 1: the bat is obviously not a young man himself. But 715 00:43:30,160 --> 00:43:33,840 Speaker 1: what I the conversations that I've had with elected officials, 716 00:43:33,880 --> 00:43:37,040 Speaker 1: younger elect officials, people like Maxwell Frost that twenty five 717 00:43:37,120 --> 00:43:39,920 Speaker 1: year old congressman. Yeah, who was just on this podcast 718 00:43:40,160 --> 00:43:45,000 Speaker 1: on Monday. Well, there you go. It's all connected. Molly 719 00:43:46,280 --> 00:43:49,520 Speaker 1: Frost said to me right after he was elected, when 720 00:43:49,520 --> 00:43:52,200 Speaker 1: he was in Washington, he said, look, I think that 721 00:43:52,280 --> 00:43:54,680 Speaker 1: young people are going to turn out for Biden because 722 00:43:55,239 --> 00:43:58,000 Speaker 1: of his focus on things that Frost fields are very 723 00:43:58,000 --> 00:44:01,880 Speaker 1: important to his generation. A lot of the climate change 724 00:44:01,880 --> 00:44:04,000 Speaker 1: measure is a big part of that was obviously a 725 00:44:04,000 --> 00:44:06,439 Speaker 1: big part of what was in the Inflation Reduction Act 726 00:44:06,520 --> 00:44:10,280 Speaker 1: last year. But these sorts of issues that can connect 727 00:44:10,600 --> 00:44:13,440 Speaker 1: with younger voters and are a part of it. But 728 00:44:13,480 --> 00:44:16,279 Speaker 1: it's when you talk to the people who have been 729 00:44:16,320 --> 00:44:21,040 Speaker 1: involved with making these very successful ballot measures elsewhere around 730 00:44:21,040 --> 00:44:23,440 Speaker 1: the country last year, what they say is that this 731 00:44:23,520 --> 00:44:27,000 Speaker 1: is it doesn't work as well to say vote for 732 00:44:27,040 --> 00:44:30,279 Speaker 1: Democrats there for abortion rights, or if you want abortion rights, 733 00:44:30,640 --> 00:44:33,239 Speaker 1: Democrats are your people. What they say is that what 734 00:44:33,440 --> 00:44:36,680 Speaker 1: works is to talk about it in terms of rights 735 00:44:36,800 --> 00:44:40,640 Speaker 1: and in terms of Republicans stripping away freedoms and the 736 00:44:40,719 --> 00:44:44,960 Speaker 1: government getting involved, not even Republicans so much, but getting involved, 737 00:44:45,080 --> 00:44:48,040 Speaker 1: and that if you do that, that connects to a 738 00:44:48,160 --> 00:44:52,920 Speaker 1: broader feeling that is there for a whole range of 739 00:44:53,000 --> 00:44:55,279 Speaker 1: voters that they feel like the government is not paying 740 00:44:55,280 --> 00:44:58,200 Speaker 1: attention to them and is not looking out for them, 741 00:44:58,239 --> 00:45:00,800 Speaker 1: and is following their own agendas and all those sorts 742 00:45:00,800 --> 00:45:04,399 Speaker 1: of it's more of a swingy message. Yeah, and look, 743 00:45:04,880 --> 00:45:08,600 Speaker 1: when you get that, you get people who are really 744 00:45:08,920 --> 00:45:12,439 Speaker 1: connected with this issue already on top of it. That 745 00:45:12,719 --> 00:45:14,600 Speaker 1: ends up being a lot of voters. When you have 746 00:45:15,120 --> 00:45:18,640 Speaker 1: states that are being decided by small margins in the 747 00:45:18,640 --> 00:45:22,720 Speaker 1: presidential election or in lower level races, whether it's senator 748 00:45:22,960 --> 00:45:25,200 Speaker 1: down to House, a couple thousand votes means a lot. 749 00:45:25,280 --> 00:45:28,560 Speaker 1: If in twenty twenty, Donald Trump had won I think 750 00:45:28,560 --> 00:45:31,920 Speaker 1: it's forty four thousand votes between four different states, he 751 00:45:32,000 --> 00:45:34,120 Speaker 1: would have been reelected president. He would not have won 752 00:45:34,160 --> 00:45:39,000 Speaker 1: the popular vote, right, Biden still had many million vote lead, 753 00:45:39,239 --> 00:45:43,080 Speaker 1: but the electoral College would have gone to Trump again. 754 00:45:43,560 --> 00:45:45,960 Speaker 1: So you think about that forty four thousand votes between 755 00:45:46,040 --> 00:45:49,839 Speaker 1: four states, it's not a lot. And states where some 756 00:45:49,960 --> 00:45:52,400 Speaker 1: of the action is being talked about for these ballot 757 00:45:52,400 --> 00:45:57,480 Speaker 1: measures next year include Nevada, Arizona, right, some of those 758 00:45:57,520 --> 00:46:02,280 Speaker 1: closely divided states, but they all so include Montana, where 759 00:46:02,280 --> 00:46:05,520 Speaker 1: there is a Senate race John Tester running for reelection 760 00:46:05,840 --> 00:46:08,440 Speaker 1: and seen as probably going to be again as it 761 00:46:08,480 --> 00:46:11,640 Speaker 1: has been the every time he's run a very very 762 00:46:11,640 --> 00:46:15,399 Speaker 1: competitive race. Also in New York. New York already has 763 00:46:15,400 --> 00:46:17,879 Speaker 1: a ballot measure that is set for the twenty twenty 764 00:46:17,920 --> 00:46:20,479 Speaker 1: four ballot. The legislature approved it a couple of weeks ago. 765 00:46:20,680 --> 00:46:22,560 Speaker 1: New York is not going to be a competitive state 766 00:46:22,600 --> 00:46:26,919 Speaker 1: in the president wow, except that there are all these 767 00:46:26,920 --> 00:46:31,280 Speaker 1: House seats right that Democrats fucked up. Excuse my French, 768 00:46:31,320 --> 00:46:33,360 Speaker 1: but I can curse because we're not on cable news. 769 00:46:33,719 --> 00:46:37,480 Speaker 1: You know, there's the George Santos seat, etc. There are 770 00:46:37,640 --> 00:46:42,239 Speaker 1: six seats that are represented by Republicans now in districts 771 00:46:42,239 --> 00:46:46,080 Speaker 1: that Biden carried in twenty twenty. If that isn't a 772 00:46:46,120 --> 00:46:49,200 Speaker 1: case that Jay Jacobs should resign, I don't know what 773 00:46:49,280 --> 00:46:53,479 Speaker 1: it is. Well, I'll leave that for you. And that's 774 00:46:53,520 --> 00:46:55,839 Speaker 1: six seats just in New York. And you know how 775 00:46:55,840 --> 00:46:57,560 Speaker 1: many seats it would take for the Democrats to be 776 00:46:57,600 --> 00:46:59,960 Speaker 1: in the majority of the House. Five Yeah, house race 777 00:47:00,120 --> 00:47:03,360 Speaker 1: they're never decided by that many votes in close districts. 778 00:47:04,120 --> 00:47:07,440 Speaker 1: So with that ballot measure in New York, that in 779 00:47:07,480 --> 00:47:12,040 Speaker 1: itself could be the thing that changes the dynamics of 780 00:47:12,400 --> 00:47:15,000 Speaker 1: next year's elections. I'm going to ask you about a tweet. 781 00:47:15,040 --> 00:47:17,200 Speaker 1: It's very annoying to be asked about a tweet, but 782 00:47:17,239 --> 00:47:19,560 Speaker 1: it's not one of your tweets. So there's something if 783 00:47:19,560 --> 00:47:21,279 Speaker 1: it's about one of my tweets, and it's of course 784 00:47:21,320 --> 00:47:25,919 Speaker 1: not annoying. Month So, on April seventh, after this yet 785 00:47:25,960 --> 00:47:29,319 Speaker 1: another Texas abortion ruling, Dan Diamond, who writes for the 786 00:47:29,360 --> 00:47:33,759 Speaker 1: Washing Post Very Smart, noted that there were twenty six 787 00:47:33,840 --> 00:47:37,840 Speaker 1: Senate Democrats who waited in on this ruling and only 788 00:47:38,440 --> 00:47:42,360 Speaker 1: one Republican who waited in on it, and it was 789 00:47:43,120 --> 00:47:46,759 Speaker 1: Senator Cindy Hyde Smith, who is from a very red 790 00:47:46,800 --> 00:47:51,640 Speaker 1: state and also not a genius from Mississippi, which is 791 00:47:51,840 --> 00:47:55,959 Speaker 1: where the Dobb's decision originated. That comes from Mississippi. She's 792 00:47:55,960 --> 00:47:59,560 Speaker 1: also most famous for having dressed up as a Confederate soldier. 793 00:47:59,600 --> 00:48:01,799 Speaker 1: I mean, I'm just saying I don't think of her 794 00:48:01,840 --> 00:48:04,759 Speaker 1: as like having her finger on the pulse or she 795 00:48:04,800 --> 00:48:07,799 Speaker 1: does for Mississippi. Yeah, and that's her job, is to 796 00:48:07,800 --> 00:48:10,560 Speaker 1: represent Mississippi. I'll tell you this. I went down to 797 00:48:10,600 --> 00:48:13,600 Speaker 1: the Supreme Court on the day the Dobb's decision was argued, 798 00:48:13,719 --> 00:48:16,600 Speaker 1: not when it was decided, and there was, as often 799 00:48:16,640 --> 00:48:18,880 Speaker 1: as the case for big events like that, there were 800 00:48:18,880 --> 00:48:21,040 Speaker 1: a lot of protesters on both sides of it. I 801 00:48:21,120 --> 00:48:24,640 Speaker 1: looked around. I could not find any elected officials there 802 00:48:24,800 --> 00:48:27,960 Speaker 1: at all, except for Roger Wicker, who's the other senator 803 00:48:28,000 --> 00:48:31,760 Speaker 1: from Mississippi. It's not that far from the Capitol to 804 00:48:31,880 --> 00:48:34,600 Speaker 1: the Supreme Court, say maybe a three minute walk, I 805 00:48:34,600 --> 00:48:37,000 Speaker 1: should say. I couldn't find any Republican elected official either 806 00:48:37,040 --> 00:48:39,600 Speaker 1: than Wicker. There were some Democratic officials who'd been part 807 00:48:39,600 --> 00:48:42,880 Speaker 1: of protests and speaking, and I walked up to Senator 808 00:48:42,880 --> 00:48:45,279 Speaker 1: Wicker and I said to him, why do you think 809 00:48:45,280 --> 00:48:50,160 Speaker 1: you're the only Republican here? And he said, well, you know, 810 00:48:50,239 --> 00:48:54,120 Speaker 1: people are busy their committee hearing, isn't it And I said, 811 00:48:54,440 --> 00:48:56,759 Speaker 1: the Senator, it's pretty close, and it seems like an 812 00:48:56,760 --> 00:48:59,400 Speaker 1: important case. Don't you think the people would want to 813 00:48:59,560 --> 00:49:01,200 Speaker 1: be part And he said, well, you know, there are 814 00:49:01,200 --> 00:49:03,520 Speaker 1: a lot of things, and he kind of dismissed it 815 00:49:03,520 --> 00:49:05,480 Speaker 1: and then said he had to get back to his 816 00:49:05,600 --> 00:49:09,600 Speaker 1: office himself. What we see from then, from when the 817 00:49:09,680 --> 00:49:14,080 Speaker 1: Dobbs decision leaked, from when the decision officially came out 818 00:49:14,160 --> 00:49:19,640 Speaker 1: and ongoing is Republicans who very much would rather not 819 00:49:19,760 --> 00:49:22,480 Speaker 1: talk about this. The people who are most engaged with 820 00:49:22,800 --> 00:49:28,280 Speaker 1: trying to win elections see this as a mostly losing 821 00:49:28,280 --> 00:49:31,480 Speaker 1: issue for them with swing voters, and that they feel 822 00:49:31,600 --> 00:49:34,400 Speaker 1: just as the Democrats field, it's proved out in their favor. 823 00:49:34,640 --> 00:49:37,320 Speaker 1: The Republicans see the same numbers and see the same results, 824 00:49:37,320 --> 00:49:39,839 Speaker 1: and that's why they want to try to avoid it. 825 00:49:40,120 --> 00:49:43,799 Speaker 1: But that is not an option that a lot of 826 00:49:43,800 --> 00:49:47,200 Speaker 1: the people who are leaders in the Republican Party seem 827 00:49:47,280 --> 00:49:50,360 Speaker 1: to want to give them. Lindsay Graham last year introduced 828 00:49:50,360 --> 00:49:52,839 Speaker 1: a fifteen week ban on abortion that would be at 829 00:49:52,840 --> 00:49:55,880 Speaker 1: the federal level. Ronda Santis looks like he is on 830 00:49:55,920 --> 00:49:58,160 Speaker 1: the cusp of signing what would be a six week 831 00:49:58,360 --> 00:50:01,799 Speaker 1: ban after six weeks out of which is essentially a 832 00:50:01,840 --> 00:50:06,280 Speaker 1: ban in Florida. Right. Mike Pence has been a very 833 00:50:06,480 --> 00:50:10,480 Speaker 1: adamant and clear that he thinks that there should be 834 00:50:10,600 --> 00:50:15,160 Speaker 1: a national abortion ban. Obviously, he's very committed to the cause, 835 00:50:15,560 --> 00:50:19,760 Speaker 1: whatever the constituency for that is. He's the former vice president. 836 00:50:19,800 --> 00:50:22,040 Speaker 1: He looks like he's probably going to be running for president. 837 00:50:22,320 --> 00:50:24,960 Speaker 1: He is going to keep talking about this himself, right, 838 00:50:25,080 --> 00:50:29,960 Speaker 1: And the only Republican presidential candidate, and that I saw, 839 00:50:30,000 --> 00:50:33,000 Speaker 1: and maybe I'm wrong. Who reacted to the Texas Judge's 840 00:50:33,080 --> 00:50:36,160 Speaker 1: ruling was Pence, who said, this is a great thing. 841 00:50:36,239 --> 00:50:39,640 Speaker 1: It corrects a wrong of this pill being available for 842 00:50:39,640 --> 00:50:42,960 Speaker 1: the last twenty years. So when that is going on, 843 00:50:43,160 --> 00:50:46,520 Speaker 1: and then you see things like the Susan B. Anthony List, 844 00:50:46,600 --> 00:50:49,920 Speaker 1: which is one of the leading groups committed to pro 845 00:50:50,000 --> 00:50:54,640 Speaker 1: life cause, saying there's a call that the president of 846 00:50:54,680 --> 00:50:58,399 Speaker 1: that group did earlier this year with reporters, and she 847 00:50:59,000 --> 00:51:02,400 Speaker 1: said that she doesn't think it's an acceptable option for 848 00:51:02,480 --> 00:51:06,000 Speaker 1: Republicans to either a well, i'll put this in the 849 00:51:06,239 --> 00:51:10,600 Speaker 1: affirmative case. She thinks that it's important that Republicans are 850 00:51:11,160 --> 00:51:17,080 Speaker 1: very committed to a full approach of backing more restrictions 851 00:51:17,440 --> 00:51:21,640 Speaker 1: and more laws that would make abortions illegal and the 852 00:51:21,719 --> 00:51:25,560 Speaker 1: procedures and everybody involved with them not happen. And she 853 00:51:25,640 --> 00:51:28,520 Speaker 1: also said she said that Republicans shouldn't adopt the which 854 00:51:28,520 --> 00:51:32,359 Speaker 1: she said the Ostrich strategy of trying to talk about this, 855 00:51:32,800 --> 00:51:35,319 Speaker 1: She and others are going to say, this is an 856 00:51:35,320 --> 00:51:38,359 Speaker 1: issue we want to hear from our candidates about, and 857 00:51:38,400 --> 00:51:41,600 Speaker 1: that's candidates from president on down and they want them 858 00:51:41,640 --> 00:51:45,560 Speaker 1: to be very clearly on one side of this. She's 859 00:51:45,560 --> 00:51:48,200 Speaker 1: going to drive Republicans into a ditch, which I think 860 00:51:48,320 --> 00:51:51,120 Speaker 1: is great, but I'm just saying it does seem an 861 00:51:51,200 --> 00:51:55,440 Speaker 1: important data point. Yeah, you also see Donald Trump, who 862 00:51:55,760 --> 00:52:02,680 Speaker 1: has a complicated history of where he stands on this issue, 863 00:52:03,680 --> 00:52:09,759 Speaker 1: and best complicated and worst perhaps you know. Right in 864 00:52:09,800 --> 00:52:11,920 Speaker 1: twenty sixteen when he was running, there was a moment 865 00:52:11,920 --> 00:52:15,000 Speaker 1: where Chris Matthews asked him about whether he thought there 866 00:52:15,000 --> 00:52:18,680 Speaker 1: should be a punishment for women who get abortions, and 867 00:52:18,680 --> 00:52:20,920 Speaker 1: he said there has to be some punishment. Then they 868 00:52:20,960 --> 00:52:23,000 Speaker 1: walked it back like an hour later and said that's 869 00:52:23,000 --> 00:52:25,120 Speaker 1: not really what he meant. There was this weird moment 870 00:52:25,160 --> 00:52:28,080 Speaker 1: in an interview that Trump did with Maureen Daub where 871 00:52:28,080 --> 00:52:31,359 Speaker 1: he was not clear on whether he had ever been 872 00:52:31,400 --> 00:52:33,799 Speaker 1: involved with a woman who had gotten an abortion. But then, 873 00:52:33,840 --> 00:52:36,640 Speaker 1: of course he appointed three of the judges to the 874 00:52:36,880 --> 00:52:41,280 Speaker 1: report who were part of the dab's decision. And yet 875 00:52:41,320 --> 00:52:44,880 Speaker 1: after the mid terms, which did not go well for Republicans, 876 00:52:44,920 --> 00:52:46,919 Speaker 1: or at least as well as they wanted to and 877 00:52:47,160 --> 00:52:49,960 Speaker 1: where the historical trends would have put them, Trump started 878 00:52:49,960 --> 00:52:55,760 Speaker 1: complaining publicly through his truth social posts that too many 879 00:52:56,120 --> 00:53:00,120 Speaker 1: Republicans had been for too many restrictions and that's not 880 00:53:00,200 --> 00:53:03,319 Speaker 1: what people wanted. And that turned off a bunch of 881 00:53:03,320 --> 00:53:05,960 Speaker 1: his evangelical supporters who were like, wait a second, I 882 00:53:05,960 --> 00:53:08,319 Speaker 1: thought you were with us. You're the first and only 883 00:53:08,320 --> 00:53:11,440 Speaker 1: president who showed up at the March for Life in 884 00:53:11,560 --> 00:53:15,000 Speaker 1: Washington appointed these justices. Now you're turning on us. So 885 00:53:15,280 --> 00:53:18,040 Speaker 1: it's not like Trump is going anywhere in the Republican primary, 886 00:53:18,080 --> 00:53:20,480 Speaker 1: and so all of these things are there. But what 887 00:53:20,520 --> 00:53:23,440 Speaker 1: it does seem to mean is that the Republicans themselves 888 00:53:23,680 --> 00:53:26,279 Speaker 1: are going to keep talking about this issue, while at 889 00:53:26,360 --> 00:53:29,520 Speaker 1: the same time, in a bunch of state legislatures, you 890 00:53:29,600 --> 00:53:32,719 Speaker 1: have a lot of bills moving that would be more 891 00:53:32,840 --> 00:53:38,880 Speaker 1: abortion restrictions, a couple that would classify abortion as a 892 00:53:38,920 --> 00:53:42,400 Speaker 1: homicide or put a penalty like murder, one that would 893 00:53:42,400 --> 00:53:45,799 Speaker 1: have the death penalty for abortions, and you have one 894 00:53:45,800 --> 00:53:49,800 Speaker 1: of those has been introduced in South Carolina. Tim Scott, 895 00:53:49,800 --> 00:53:54,880 Speaker 1: who is very consistent a pro life senator thinking about 896 00:53:55,280 --> 00:53:58,120 Speaker 1: running for president himself. He was asked about that a 897 00:53:58,120 --> 00:54:00,839 Speaker 1: couple of weeks ago on Fox News, and I think 898 00:54:00,880 --> 00:54:05,080 Speaker 1: that's a terrible idea, right, And that's the pincer that they, 899 00:54:05,200 --> 00:54:08,319 Speaker 1: the Republicans, seem to be caught in. And as this 900 00:54:08,440 --> 00:54:11,799 Speaker 1: is all happening in a democratic political operatives, could not 901 00:54:11,880 --> 00:54:14,880 Speaker 1: be happier to watch them not know where to go, 902 00:54:14,960 --> 00:54:17,560 Speaker 1: because that's all just the opportunity for them to make 903 00:54:17,600 --> 00:54:20,400 Speaker 1: an issue of this. Yeah, thank you so much. I 904 00:54:20,400 --> 00:54:26,840 Speaker 1: hope you'll come back. I hope you'll invite me back. 905 00:54:27,840 --> 00:54:34,840 Speaker 1: Molly John Fast Jesse Cannon. That Diane Finestein, she's a 906 00:54:34,880 --> 00:54:39,719 Speaker 1: little old at eighty nine. Diane Feinstein. Look, she has 907 00:54:39,920 --> 00:54:43,959 Speaker 1: served her constituents in a great way. She has been 908 00:54:44,160 --> 00:54:49,160 Speaker 1: a statesman and a leader. She is now because she's 909 00:54:49,200 --> 00:54:52,719 Speaker 1: sick with shingles, which is terrible. She is in the 910 00:54:52,760 --> 00:54:57,080 Speaker 1: hospital and unable to vote on the judicial nominees. So 911 00:54:57,239 --> 00:54:59,600 Speaker 1: Democrats don't have the numbers to confirm judges on the 912 00:54:59,680 --> 00:55:03,480 Speaker 1: judic Cherry Committee, and so they are out of luck. 913 00:55:03,640 --> 00:55:08,120 Speaker 1: While Diane Finstein recuperates, it could be very easy for 914 00:55:08,200 --> 00:55:12,919 Speaker 1: her to take this moment to retire and let Democrats 915 00:55:13,000 --> 00:55:17,560 Speaker 1: continue putting judges on the bench. And as much as 916 00:55:17,600 --> 00:55:21,120 Speaker 1: we respect and appreciate her hard service, it probably is 917 00:55:21,160 --> 00:55:24,759 Speaker 1: time for her to retire. And that is why this 918 00:55:25,000 --> 00:55:30,000 Speaker 1: entire situation is our moment of fuckeray. That's it for 919 00:55:30,040 --> 00:55:33,880 Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday, 920 00:55:33,880 --> 00:55:36,839 Speaker 1: and Friday to hear the best minds in politics makes 921 00:55:36,840 --> 00:55:40,160 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 922 00:55:40,520 --> 00:55:43,440 Speaker 1: please send it to a friend and keep the conversation going. 923 00:55:43,800 --> 00:55:45,520 Speaker 1: And again, thanks for listening.