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 --> 00:00:10,639 Speaker 1: today's best minds. And by the time you hear this, 4 00:00:10,880 --> 00:00:14,560 Speaker 1: hopefully herschel Walker will have lost his Senate race. We 5 00:00:14,680 --> 00:00:18,919 Speaker 1: have a wild, wild show for you today. The Washington 6 00:00:19,000 --> 00:00:23,560 Speaker 1: Post Philip Bump talks to us about Trump's troubled relationship 7 00:00:23,600 --> 00:00:26,759 Speaker 1: with the Constitution. Then we'll talk to the Center for 8 00:00:26,840 --> 00:00:31,680 Speaker 1: Reproductive Rights Nancy north Up about the effect reproductive rights 9 00:00:31,720 --> 00:00:35,680 Speaker 1: had on the midterms. But first we have Doug Balloon, 10 00:00:36,200 --> 00:00:39,640 Speaker 1: not his real name, who you might know of as 11 00:00:39,720 --> 00:00:45,200 Speaker 1: Twitter's funniest barely parody account, The New York Times pitch Pot. 12 00:00:45,840 --> 00:00:50,159 Speaker 1: Welcome too, Fast Politics, New York Times Pitchpot, thank you, 13 00:00:50,200 --> 00:00:52,879 Speaker 1: thank you for having me here. We're very excited. I 14 00:00:53,040 --> 00:00:55,760 Speaker 1: told Mac Greenfield my long Sufferings Fast that we were 15 00:00:55,760 --> 00:00:57,560 Speaker 1: going to have you on the podcast, and he was like, 16 00:00:57,640 --> 00:01:00,120 Speaker 1: oh my god, The New York Times pitch pot is 17 00:01:00,120 --> 00:01:02,760 Speaker 1: going to be on the podcast. We'll do my best 18 00:01:02,800 --> 00:01:05,160 Speaker 1: to live up to expectations. I guess tell us a 19 00:01:05,160 --> 00:01:08,160 Speaker 1: little bit about your story, because you weren't always the 20 00:01:08,160 --> 00:01:10,880 Speaker 1: New York Times pitch Bond. No, so I was Doug 21 00:01:11,000 --> 00:01:13,920 Speaker 1: j on Balloon Boos for a long time, and then 22 00:01:13,959 --> 00:01:16,840 Speaker 1: I sort of started to get interested in Twitter. I 23 00:01:16,880 --> 00:01:20,280 Speaker 1: don't know, like maybe not that not not very early on, 24 00:01:20,480 --> 00:01:23,880 Speaker 1: maybe two thousand fifteen or so, And uh, I didn't 25 00:01:23,880 --> 00:01:26,360 Speaker 1: like it that much at first, and then I started 26 00:01:26,360 --> 00:01:29,320 Speaker 1: to really like some of these humor accounts, like, um, 27 00:01:29,360 --> 00:01:33,000 Speaker 1: what's the guy that? The Jeff Jarvis guy, what's this? Yeah? 28 00:01:34,520 --> 00:01:36,840 Speaker 1: Real Jeff Jarvis. By the way, can we just I 29 00:01:36,880 --> 00:01:39,720 Speaker 1: want to stop for a minute and explain to people 30 00:01:39,720 --> 00:01:43,080 Speaker 1: what balloon juices. Oh yeah, so Balloon Juices that. It 31 00:01:43,160 --> 00:01:46,319 Speaker 1: was a really interesting blog. I think it really is 32 00:01:46,959 --> 00:01:49,720 Speaker 1: kind of more comment er driven than anything else. This 33 00:01:49,760 --> 00:01:52,680 Speaker 1: guy John Cole started it, I don't know, two thousand 34 00:01:52,800 --> 00:01:57,480 Speaker 1: to two thousand three, and he was originally conservative and 35 00:01:57,520 --> 00:02:01,920 Speaker 1: a big supporter of the Iraq war. Well, someone has 36 00:02:02,000 --> 00:02:04,600 Speaker 1: to be hard to find someone who was a big 37 00:02:04,640 --> 00:02:07,520 Speaker 1: supporter of the Iraq war. Yes, continue sorry. Around the 38 00:02:07,560 --> 00:02:10,320 Speaker 1: time of the Terry Schiavo stuff, he started to feel 39 00:02:10,320 --> 00:02:13,800 Speaker 1: really tortured sort of about continuing to support Bush because 40 00:02:13,840 --> 00:02:17,080 Speaker 1: he thought that the Terry Skiava thing was so ridiculous, 41 00:02:17,280 --> 00:02:20,040 Speaker 1: and so he was always very good with commenters he 42 00:02:20,120 --> 00:02:21,800 Speaker 1: was a very good sense of humor, so even though 43 00:02:21,840 --> 00:02:24,280 Speaker 1: he was a conservative, he had a really mixed kind 44 00:02:24,280 --> 00:02:26,200 Speaker 1: of bag of comment or it's probably most of them 45 00:02:26,200 --> 00:02:29,840 Speaker 1: liberal actually, and a lot of them. A lot of 46 00:02:29,840 --> 00:02:32,040 Speaker 1: the you know, give and take of the blog was 47 00:02:32,160 --> 00:02:35,839 Speaker 1: people in the comments just ripping him, and I thought 48 00:02:35,880 --> 00:02:38,639 Speaker 1: it was really funny to watch, and so I came in. 49 00:02:39,000 --> 00:02:42,280 Speaker 1: I decided that what might really annoy him was if 50 00:02:42,320 --> 00:02:46,959 Speaker 1: someone just took like the dumbest writing arguments they could 51 00:02:47,000 --> 00:02:50,919 Speaker 1: and just started hrenting them, parenting them this completely since 52 00:02:51,080 --> 00:02:54,720 Speaker 1: you're away. So I did that for a while. It 53 00:02:54,840 --> 00:02:57,960 Speaker 1: became sort of a popular feature of the blog, and 54 00:02:58,000 --> 00:02:59,840 Speaker 1: then eventually I told him it was just a joke, 55 00:03:00,639 --> 00:03:03,240 Speaker 1: after he had done his full conversion to being level. 56 00:03:03,639 --> 00:03:05,960 Speaker 1: Then I was like, I don't really, there's no point 57 00:03:05,960 --> 00:03:08,440 Speaker 1: in me doing this anymore, because you know, my my work, 58 00:03:08,520 --> 00:03:10,960 Speaker 1: my work is done here. And then a little later 59 00:03:11,000 --> 00:03:13,840 Speaker 1: he asked me to join him on the blog, and 60 00:03:13,840 --> 00:03:16,520 Speaker 1: then more people joined, and it's sort of a I 61 00:03:16,520 --> 00:03:19,360 Speaker 1: guess it's a blog that is, you know, kind of 62 00:03:19,400 --> 00:03:23,320 Speaker 1: normy liberal in general and kind of you know, tough 63 00:03:23,360 --> 00:03:27,160 Speaker 1: on people and sort of really most famous for having 64 00:03:27,680 --> 00:03:31,080 Speaker 1: really brutal comments, you know, like I would write things 65 00:03:31,080 --> 00:03:34,120 Speaker 1: that I thought were okay and then the people shredd 66 00:03:34,240 --> 00:03:38,720 Speaker 1: me in the I think that's all writing. Unfortunately, the 67 00:03:39,280 --> 00:03:43,040 Speaker 1: spectually these are sort of especially it's funny because I 68 00:03:43,120 --> 00:03:46,000 Speaker 1: see people, like with a lot of Twitter followers, you know, 69 00:03:46,080 --> 00:03:50,280 Speaker 1: something fun of and people will offer a pretty mild 70 00:03:50,400 --> 00:03:53,920 Speaker 1: criticism and the replies and they'll just get so mad 71 00:03:53,960 --> 00:03:59,760 Speaker 1: about you, like that for example, oh really, you don't say, yeah, 72 00:04:00,000 --> 00:04:02,760 Speaker 1: I don't get it, because I would write things that 73 00:04:02,880 --> 00:04:05,520 Speaker 1: people even more or less agreet with what I was saying, 74 00:04:05,560 --> 00:04:08,400 Speaker 1: and they still would just destroy me for how I 75 00:04:08,560 --> 00:04:11,320 Speaker 1: how I said it and then like the meanest possible way. 76 00:04:11,560 --> 00:04:15,880 Speaker 1: And so it was good preparation, I think for for Twitter. 77 00:04:15,920 --> 00:04:18,080 Speaker 1: And then on Twitter, I kind of I really like 78 00:04:18,240 --> 00:04:20,919 Speaker 1: these humor accounts and I really liked I really like 79 00:04:21,000 --> 00:04:23,520 Speaker 1: the Jeff Jarvis guy. Although I like Jeff Jarvis too, 80 00:04:23,760 --> 00:04:26,960 Speaker 1: I don't think the account was especially targeting him. And 81 00:04:27,040 --> 00:04:29,640 Speaker 1: I happened to have that name, and I got to 82 00:04:29,680 --> 00:04:33,880 Speaker 1: really like this account called Federalist Pitchpot, and then there 83 00:04:33,920 --> 00:04:36,240 Speaker 1: was a Reason Pitchpot, which in some ways I liked 84 00:04:36,279 --> 00:04:39,559 Speaker 1: even that or they were different. Federalist pitchpot was hard 85 00:04:39,680 --> 00:04:42,880 Speaker 1: because most of what Federalist pitch Bot was doing was taking, 86 00:04:43,120 --> 00:04:45,720 Speaker 1: which this is a valuable lesson for me I learned later, 87 00:04:45,960 --> 00:04:49,440 Speaker 1: was taking stuff, but the federal is actually sad and 88 00:04:49,560 --> 00:04:51,680 Speaker 1: kind of making it a little bit less offensive, like 89 00:04:51,760 --> 00:04:57,520 Speaker 1: Tony also making it funny, you know, and he would 90 00:04:57,560 --> 00:05:00,159 Speaker 1: have these contests like which is the real head just 91 00:05:00,200 --> 00:05:04,040 Speaker 1: a fake headline, which it would always be, which everyone 92 00:05:04,200 --> 00:05:07,760 Speaker 1: wasn't really quite as a threatening or as offensive as 93 00:05:07,800 --> 00:05:11,080 Speaker 1: the other one. And Reason Pitchbot was I thought, a 94 00:05:11,120 --> 00:05:14,040 Speaker 1: really funny take on Reason because it was again actually 95 00:05:14,279 --> 00:05:16,839 Speaker 1: not really quite as crazy as Reason is. It was 96 00:05:16,920 --> 00:05:21,520 Speaker 1: Reason as written by the idea libertarian, who is a kid, 97 00:05:21,760 --> 00:05:24,320 Speaker 1: like anineteen year old kid living in his parents basement 98 00:05:26,760 --> 00:05:29,240 Speaker 1: all day. Yeah. I just really liked them. And then 99 00:05:29,279 --> 00:05:31,479 Speaker 1: I was like, well, I always have this thing where like, 100 00:05:31,520 --> 00:05:33,840 Speaker 1: if someone does something I really like, I think maybe 101 00:05:34,080 --> 00:05:35,920 Speaker 1: maybe I could do this too, and then other people 102 00:05:35,920 --> 00:05:39,400 Speaker 1: would enjoy it. And so I've always had this fixation 103 00:05:39,520 --> 00:05:42,960 Speaker 1: with The New York Times, you and everyone else, right, well, 104 00:05:43,040 --> 00:05:46,200 Speaker 1: just the particular style of it always sticks in my head, 105 00:05:46,400 --> 00:05:48,560 Speaker 1: you know, I remember I don't know why I remember 106 00:05:48,560 --> 00:05:50,680 Speaker 1: this so well, but I think like my sophomore year 107 00:05:50,720 --> 00:05:53,480 Speaker 1: of college, they had an article about n w A. 108 00:05:54,080 --> 00:05:58,480 Speaker 1: I remember saying things like Mr Cubes, you know, gretty 109 00:05:58,640 --> 00:06:01,760 Speaker 1: lyrics and stuff like my roommate and I just thought 110 00:06:01,760 --> 00:06:04,080 Speaker 1: it was the funniest thing. The whole way was written 111 00:06:04,080 --> 00:06:09,279 Speaker 1: with Mr Cube and Mr Dre and the gritty lyrics 112 00:06:09,440 --> 00:06:11,279 Speaker 1: and all, you know, all these sort of New York 113 00:06:11,320 --> 00:06:14,479 Speaker 1: Times tropes. And I don't know why, just after that 114 00:06:15,200 --> 00:06:17,000 Speaker 1: I got into this thing of trying to talk like 115 00:06:17,080 --> 00:06:19,400 Speaker 1: the New York Times all the time with with my 116 00:06:19,480 --> 00:06:23,599 Speaker 1: roommate who also also did it, and uh yeah. So 117 00:06:23,640 --> 00:06:25,039 Speaker 1: then I was like, what could I do that would 118 00:06:25,080 --> 00:06:27,200 Speaker 1: be kind of funny, like a pitchpot. And then I thought, 119 00:06:27,560 --> 00:06:29,320 Speaker 1: I know what I'll do. I'll do New York Times 120 00:06:29,320 --> 00:06:31,720 Speaker 1: pitch bot. And I started doing it and it wasn't 121 00:06:31,800 --> 00:06:34,040 Speaker 1: very you know, people didn't get like a great reception 122 00:06:34,040 --> 00:06:37,039 Speaker 1: at first. But then a conservative journalist that I keep 123 00:06:37,040 --> 00:06:40,039 Speaker 1: in touch with were both really big Rolling Stones fans, 124 00:06:40,040 --> 00:06:43,119 Speaker 1: and we kind of bonded over that was thing saying 125 00:06:43,400 --> 00:06:45,560 Speaker 1: this is a great bit. You were born to do this, 126 00:06:45,640 --> 00:06:47,800 Speaker 1: you gotta keep doing this. So I was like, all right, 127 00:06:47,839 --> 00:06:50,200 Speaker 1: maybe I'll try to actually devote a little bit of 128 00:06:50,279 --> 00:06:53,520 Speaker 1: energy to this. Then I did a tweet about this 129 00:06:53,640 --> 00:06:57,200 Speaker 1: is like March maybe, I did a tweet about you know, 130 00:06:57,240 --> 00:07:00,839 Speaker 1: those sources close to Jared and Ivanka kind of tweets, right, 131 00:07:01,080 --> 00:07:03,920 Speaker 1: and it blew up and I got a lot of followers, 132 00:07:03,920 --> 00:07:06,000 Speaker 1: and I was like, oh, this is great. That's and 133 00:07:06,000 --> 00:07:08,360 Speaker 1: that's when I started to really good into it. And 134 00:07:08,400 --> 00:07:10,720 Speaker 1: also I was very lucky in that I got I 135 00:07:10,720 --> 00:07:14,280 Speaker 1: have really good repliers, right, right, replies were great, and 136 00:07:14,320 --> 00:07:16,200 Speaker 1: that's what kind of keeps it going. Well, that's what 137 00:07:16,480 --> 00:07:20,200 Speaker 1: why the internet is great, right, is because you meet 138 00:07:20,320 --> 00:07:24,880 Speaker 1: great people who are really smart, and then that's really interesting. Yeah. 139 00:07:25,000 --> 00:07:30,160 Speaker 1: So you're born of the time of the Iraq War, right, 140 00:07:30,240 --> 00:07:32,400 Speaker 1: that's when you got into this, which was in many 141 00:07:32,400 --> 00:07:37,040 Speaker 1: ways a simpler time, right and a less deranged Republican Party. 142 00:07:37,120 --> 00:07:40,720 Speaker 1: I mean, have you been surprised to watch the change there? 143 00:07:40,880 --> 00:07:45,080 Speaker 1: You mean becoming more deranged? Yes, more deranged? Not really, No, 144 00:07:45,280 --> 00:07:49,920 Speaker 1: it's about what really I think that's the thing is 145 00:07:49,960 --> 00:07:52,920 Speaker 1: that for people like me who were well, I mean 146 00:07:53,000 --> 00:07:55,160 Speaker 1: not just that I didn't actually spend that much time 147 00:07:55,200 --> 00:07:58,280 Speaker 1: reading crazy right wing stuff myself on the internet, but 148 00:07:59,080 --> 00:08:02,520 Speaker 1: I follow a couple of guys I followed. Steve am 149 00:08:02,640 --> 00:08:05,760 Speaker 1: Is one of them, not particularly popular blog. I think 150 00:08:05,760 --> 00:08:09,760 Speaker 1: Oliver Willis is another one, and maybe and there was 151 00:08:09,760 --> 00:08:13,560 Speaker 1: a couple of others too, mostly smaller blogs. They're like 152 00:08:13,640 --> 00:08:17,040 Speaker 1: would really spend time watching Fox News, and not even 153 00:08:17,040 --> 00:08:19,440 Speaker 1: just watching Fox News. I think Fox News wasn't really 154 00:08:20,080 --> 00:08:22,040 Speaker 1: it was a little bit behind the curve, I think 155 00:08:22,120 --> 00:08:25,120 Speaker 1: in terms of being totally crazy. But um, these sort 156 00:08:25,160 --> 00:08:29,400 Speaker 1: of reading crazy right wing blogs and stuff, and uh 157 00:08:29,720 --> 00:08:32,199 Speaker 1: I read their stuff, and I started to realize there 158 00:08:32,240 --> 00:08:35,280 Speaker 1: really is this thing going on in the party where 159 00:08:35,880 --> 00:08:39,120 Speaker 1: you know, you have the leaders like Mitt and McCain 160 00:08:39,360 --> 00:08:42,880 Speaker 1: and Buscheur's to all to some extent terrible, maybe Romney 161 00:08:42,960 --> 00:08:44,880 Speaker 1: less than the others. A lot of what they're actually 162 00:08:44,880 --> 00:08:47,480 Speaker 1: doing is trying to keep the really you know, the 163 00:08:47,600 --> 00:08:50,360 Speaker 1: really loony stuff, trying to kind of tamp it down, 164 00:08:50,559 --> 00:08:53,400 Speaker 1: you know, either to win elections or because I just 165 00:08:53,440 --> 00:08:56,760 Speaker 1: disagree with it, I don't know. And uh, reading this 166 00:08:56,960 --> 00:09:00,079 Speaker 1: these blogs, I started realized that's really the dynamic and 167 00:09:00,160 --> 00:09:03,640 Speaker 1: eventually the lid is probably gonna blow, you know. So 168 00:09:03,720 --> 00:09:06,400 Speaker 1: I didn't think that Trump was gonna win the primary, 169 00:09:06,440 --> 00:09:09,439 Speaker 1: but I wasn't that surprised that he did, you know, um, 170 00:09:09,520 --> 00:09:11,600 Speaker 1: and I really think that a lot of the media, 171 00:09:11,720 --> 00:09:14,160 Speaker 1: almost all the mainstream media, they really had their head 172 00:09:14,200 --> 00:09:17,640 Speaker 1: in the sand about what was going on the Republican Party, right, 173 00:09:18,200 --> 00:09:20,040 Speaker 1: I mean, look at you know, all these people that 174 00:09:20,080 --> 00:09:23,720 Speaker 1: you probably know from being a Polard who were former Republicans. 175 00:09:23,720 --> 00:09:26,800 Speaker 1: They all say that about themselves, right, they all say, 176 00:09:26,920 --> 00:09:29,360 Speaker 1: I really had except the once they didn't. They did 177 00:09:29,400 --> 00:09:33,160 Speaker 1: see it coming. I didn't really know. I didn't really 178 00:09:33,160 --> 00:09:35,920 Speaker 1: know what was going on, right, They didn't realize that 179 00:09:36,000 --> 00:09:39,600 Speaker 1: it could get so much worse than it did. But 180 00:09:39,640 --> 00:09:42,679 Speaker 1: I know, I'm not I'm not surprised. I'm not surprised 181 00:09:42,679 --> 00:09:45,600 Speaker 1: at all. Right, all right, so let me ask you 182 00:09:46,360 --> 00:09:49,240 Speaker 1: right now, what's happening? I mean, what do you think 183 00:09:49,640 --> 00:09:53,720 Speaker 1: it feels like there's a readjustment in the Republican Party 184 00:09:53,800 --> 00:09:57,040 Speaker 1: right now? I'm not saying it's better. Does it feel 185 00:09:57,040 --> 00:09:59,800 Speaker 1: to you like there's something happening now? Trump is sort 186 00:09:59,800 --> 00:10:03,760 Speaker 1: of going against Trump? Yeah? I think so. Yeah. So 187 00:10:03,840 --> 00:10:07,120 Speaker 1: I think that it's really hard to say because at 188 00:10:07,160 --> 00:10:10,480 Speaker 1: the elite level, definitely, Yeah, But I don't really know 189 00:10:10,520 --> 00:10:12,400 Speaker 1: what's going to go on with the rank and file. 190 00:10:12,559 --> 00:10:14,439 Speaker 1: So I'll tell you what I think is that there 191 00:10:14,559 --> 00:10:16,600 Speaker 1: is a little bit of a movement against him right now. 192 00:10:16,600 --> 00:10:19,760 Speaker 1: But he's not campaigning, he's not on Twitter, he's not 193 00:10:19,840 --> 00:10:22,600 Speaker 1: doing all the stuff that he's good at. Number one, 194 00:10:22,960 --> 00:10:25,920 Speaker 1: number two. I think their plan, right, I think the 195 00:10:26,040 --> 00:10:29,199 Speaker 1: plan to have him not be the nominee in four 196 00:10:29,760 --> 00:10:32,880 Speaker 1: involves getting behind someone who's a lot like him, right. 197 00:10:32,920 --> 00:10:35,840 Speaker 1: I mean, if it was like, we're gonna rally behind 198 00:10:35,960 --> 00:10:39,640 Speaker 1: Mitt Romney and or or even Marc Arubia, who I like, 199 00:10:39,880 --> 00:10:42,600 Speaker 1: but he's not like Trump, it would be different. They're not. 200 00:10:42,640 --> 00:10:45,360 Speaker 1: They're rallying behind the Santis, who is really a lot 201 00:10:45,400 --> 00:10:47,680 Speaker 1: like Trump. I think so in that sense, I don't 202 00:10:47,720 --> 00:10:49,800 Speaker 1: think there really is that much of a change. Now 203 00:10:50,080 --> 00:10:53,520 Speaker 1: do people at the times? Do they find you adorable 204 00:10:53,640 --> 00:10:56,720 Speaker 1: or do they find you annoying? So I think it varies. 205 00:10:56,880 --> 00:11:00,360 Speaker 1: It's interesting. So what's his name? Jonathan Martin one time 206 00:11:00,400 --> 00:11:02,480 Speaker 1: showed up. This is a really phn of them, but 207 00:11:02,559 --> 00:11:06,440 Speaker 1: this was the highlight William like career. I had this 208 00:11:06,520 --> 00:11:08,720 Speaker 1: bit I did where a guy from I had this 209 00:11:08,800 --> 00:11:11,680 Speaker 1: thing once when I asked people to tell me good 210 00:11:11,720 --> 00:11:14,280 Speaker 1: local stuff, you know, to help me with the diner 211 00:11:14,320 --> 00:11:17,880 Speaker 1: Safari tweets, and one brought this really great thing about 212 00:11:18,040 --> 00:11:22,840 Speaker 1: in this Indiana diner, everyone has three questions, and how's 213 00:11:22,880 --> 00:11:25,959 Speaker 1: the bread of tender loin? Second is house is the 214 00:11:26,040 --> 00:11:28,679 Speaker 1: quarry hiring? And the third is like, do you really 215 00:11:28,760 --> 00:11:31,160 Speaker 1: think that Don McNeil was the victim of the Wolke 216 00:11:31,280 --> 00:11:36,280 Speaker 1: mob or something? And so I started to do this 217 00:11:36,320 --> 00:11:38,520 Speaker 1: one all the time, and I don't do it that often. 218 00:11:38,559 --> 00:11:41,160 Speaker 1: It's not quite as easy as some of the other templates, 219 00:11:41,200 --> 00:11:44,960 Speaker 1: but I do it. And I did one, and Jonathan Martin, 220 00:11:45,200 --> 00:11:48,200 Speaker 1: clearly must have hated my account for years, showed up 221 00:11:48,240 --> 00:11:51,600 Speaker 1: and blocked quoted me and said, I guarantee they don't 222 00:11:51,640 --> 00:11:56,320 Speaker 1: call it bread a tender loin, and try harder. I mean, 223 00:11:56,360 --> 00:11:58,679 Speaker 1: it was a highlight for me because they do call 224 00:11:58,720 --> 00:12:01,439 Speaker 1: it bread a tenderline. Is the whole thing was based 225 00:12:01,480 --> 00:12:03,560 Speaker 1: on a guy who lives in Indiana, you know. And 226 00:12:03,600 --> 00:12:06,800 Speaker 1: then million people showed up in their replies and said, yeah, 227 00:12:06,800 --> 00:12:10,240 Speaker 1: they do actually call it creddit enderline in parts of Indiana. 228 00:12:10,360 --> 00:12:13,880 Speaker 1: And so clearly he hated the account. Yeah, clearly it 229 00:12:13,920 --> 00:12:15,880 Speaker 1: clearly it got under his But he was really one 230 00:12:15,920 --> 00:12:17,640 Speaker 1: of the ones. I'm really aiming it at too. I 231 00:12:17,960 --> 00:12:20,120 Speaker 1: really don't like his reporting, and I really don't like 232 00:12:20,240 --> 00:12:23,680 Speaker 1: the New York Times political reporting in general. I heard 233 00:12:23,679 --> 00:12:26,120 Speaker 1: though that I have a reader who has a friend 234 00:12:26,160 --> 00:12:30,120 Speaker 1: who's on the who's on the editorial board, and he 235 00:12:30,200 --> 00:12:34,440 Speaker 1: said his friend loves the account and actually want wanted me. 236 00:12:34,440 --> 00:12:36,320 Speaker 1: I'm not gonna tell you the guy's name, I obviously, 237 00:12:36,360 --> 00:12:39,760 Speaker 1: but he wanted me to to start to do a 238 00:12:39,800 --> 00:12:42,000 Speaker 1: couple where I made fun of him by name, but 239 00:12:42,120 --> 00:12:44,240 Speaker 1: actually I liked all his writings, so I couldn't figure 240 00:12:44,240 --> 00:12:48,880 Speaker 1: out a way to do it. That's amazing. I mean, 241 00:12:48,960 --> 00:12:50,880 Speaker 1: that's the thing that I think is interesting about the 242 00:12:50,880 --> 00:12:53,800 Speaker 1: New York Times pitch pot is it struck me that 243 00:12:53,880 --> 00:12:58,480 Speaker 1: you started going for the editorial writers, but you moved 244 00:12:58,880 --> 00:13:02,880 Speaker 1: to the political car and that that actually, ultimately that 245 00:13:02,960 --> 00:13:06,600 Speaker 1: the editorial pieces were not in your mind, is problematic 246 00:13:06,640 --> 00:13:09,880 Speaker 1: as the straight political coverage. Is that true? Right? While 247 00:13:09,880 --> 00:13:11,960 Speaker 1: there's two things right, One is that I think they're 248 00:13:12,040 --> 00:13:15,360 Speaker 1: political coverage is worse. I think that they're I started 249 00:13:15,360 --> 00:13:18,840 Speaker 1: to read their editorials and they're not that bad and 250 00:13:18,920 --> 00:13:21,079 Speaker 1: to me in a lot of ways, yeah, relative to 251 00:13:21,480 --> 00:13:24,199 Speaker 1: political reporting. Also, though, I will say, part of it 252 00:13:24,240 --> 00:13:27,520 Speaker 1: is that his opinion writing goes. I started to find 253 00:13:27,600 --> 00:13:34,400 Speaker 1: all these ridiculous sub stack people to be so much worse. Well, 254 00:13:34,400 --> 00:13:37,240 Speaker 1: now I sort of felt like, which would I'd rather do? 255 00:13:37,400 --> 00:13:40,640 Speaker 1: Make fun of Tom Friedman for some kind of stupid 256 00:13:40,840 --> 00:13:44,080 Speaker 1: but probably not that wrong pro free trade piece, you know, 257 00:13:44,800 --> 00:13:49,080 Speaker 1: the fun of Glenn Greenwald for some insane thing about 258 00:13:49,240 --> 00:13:53,640 Speaker 1: Ukrainian Nazis with bio all this whole thing, I don't 259 00:13:53,640 --> 00:13:56,839 Speaker 1: know why this drugs me so much, This whole thing 260 00:13:56,880 --> 00:13:59,960 Speaker 1: of all these people with no training of medical traine 261 00:14:00,000 --> 00:14:02,760 Speaker 1: any of any kind, talking about why they think the 262 00:14:02,840 --> 00:14:05,800 Speaker 1: lab leak is real, Like it's just so ridiculous to me, 263 00:14:05,880 --> 00:14:08,440 Speaker 1: you know, and it's much more I mean, who do 264 00:14:08,480 --> 00:14:11,240 Speaker 1: I really I really don't like saying Nick Christoph or 265 00:14:11,280 --> 00:14:13,640 Speaker 1: Brett Stevens, but but they don't do things that are 266 00:14:13,760 --> 00:14:16,960 Speaker 1: quite that stupid to me, you know. And so I 267 00:14:17,120 --> 00:14:19,680 Speaker 1: sort of lost interest a little bit in the editorial 268 00:14:19,720 --> 00:14:22,560 Speaker 1: board when the when I was confronted with this, the 269 00:14:22,600 --> 00:14:26,920 Speaker 1: insanity of the substract bros. Is the problem with normal, 270 00:14:27,120 --> 00:14:30,080 Speaker 1: normal political reporting. And I don't want to call anyone 271 00:14:30,120 --> 00:14:33,160 Speaker 1: out because this is a problem. I think it's more 272 00:14:33,280 --> 00:14:35,720 Speaker 1: of a mainstream media problem and less of a New 273 00:14:35,760 --> 00:14:38,120 Speaker 1: York Times problem. But because the New York Times is 274 00:14:38,120 --> 00:14:42,200 Speaker 1: the most famous, they get most of the gruff. Do 275 00:14:42,320 --> 00:14:46,560 Speaker 1: you think that part of it is that there is 276 00:14:46,640 --> 00:14:55,040 Speaker 1: this inherent bias against appearing liberal, which helps elevate the 277 00:14:55,080 --> 00:14:58,320 Speaker 1: far right in a way. Yeah, I think definitely. Yeah. 278 00:14:58,360 --> 00:15:00,800 Speaker 1: I think they're obsessed with not appearing and I think 279 00:15:00,800 --> 00:15:04,040 Speaker 1: it has I think it it works in various ways, right, 280 00:15:04,120 --> 00:15:07,400 Speaker 1: One is that they elevate conservative voices. I think the 281 00:15:07,440 --> 00:15:09,560 Speaker 1: other is that they do believe that the things they 282 00:15:09,560 --> 00:15:12,960 Speaker 1: conservatives saying are stupid and they can't really relate to 283 00:15:13,000 --> 00:15:16,600 Speaker 1: them at all, and so they don't hold conservative arguments 284 00:15:16,680 --> 00:15:19,200 Speaker 1: to a high standard, you know. I mean like if 285 00:15:19,240 --> 00:15:22,200 Speaker 1: some liberals, like if some liberal happened to be saying 286 00:15:22,240 --> 00:15:24,640 Speaker 1: crazy stuff about the border, not that the liberal would 287 00:15:24,680 --> 00:15:29,160 Speaker 1: they'd say, well, actually, statistically blah blah blah. Also, they're 288 00:15:29,160 --> 00:15:31,720 Speaker 1: only coming here for jobs, so if you just had 289 00:15:31,720 --> 00:15:33,760 Speaker 1: to stop the employee, you know, they pick it that, 290 00:15:33,840 --> 00:15:35,960 Speaker 1: they pick at the argument. They don't do that with 291 00:15:36,000 --> 00:15:38,520 Speaker 1: conservative arguments. They're just like they just they just sort 292 00:15:38,560 --> 00:15:41,160 Speaker 1: of repeat them, you know. Right. Part of it is 293 00:15:41,200 --> 00:15:43,880 Speaker 1: because they don't even they think that they're probably so 294 00:15:43,920 --> 00:15:46,520 Speaker 1: stupid that there's no point in trying to pick at them, 295 00:15:46,520 --> 00:15:49,840 Speaker 1: and so they don't take conservative arguments seriously, and that 296 00:15:49,960 --> 00:15:53,080 Speaker 1: actually leads in a weird way to them just repeating them. No, No, 297 00:15:53,240 --> 00:15:57,080 Speaker 1: I think that's right. I mean, is it's weirdly a 298 00:15:57,240 --> 00:16:03,880 Speaker 1: function of being liberal causes these straight reporters to come 299 00:16:03,920 --> 00:16:07,080 Speaker 1: off as more conservative. Yeah. Yeah, And I also don't 300 00:16:07,120 --> 00:16:09,440 Speaker 1: think that they're that. I mean, I think that they're 301 00:16:09,520 --> 00:16:12,680 Speaker 1: very culturally liberal, you know, like they watch white Lotus 302 00:16:12,720 --> 00:16:15,600 Speaker 1: and they like to eat proving food and stuff like that, 303 00:16:15,760 --> 00:16:19,840 Speaker 1: you know, but they're not exactly but I don't think 304 00:16:20,040 --> 00:16:23,600 Speaker 1: we care that much about about working people, you know, 305 00:16:23,720 --> 00:16:27,600 Speaker 1: I mean necessarily, and so I think they're very conscious 306 00:16:27,600 --> 00:16:32,240 Speaker 1: of being culturally liberal people, you know, from the Selachord 307 00:16:32,320 --> 00:16:35,280 Speaker 1: or blah blah blah, And so that makes them take 308 00:16:35,280 --> 00:16:37,840 Speaker 1: a funny attitude I think towards towards sort of what 309 00:16:37,920 --> 00:16:41,280 Speaker 1: they think of as heartly and conservatives, right right. I 310 00:16:41,280 --> 00:16:45,840 Speaker 1: mean fundamentally, what you're discussing is a kind of fatis 311 00:16:46,000 --> 00:16:50,640 Speaker 1: ization of the heartland. Yeah, it can go in different directions. 312 00:16:50,680 --> 00:16:53,160 Speaker 1: I think, like I don't really mind the ones where 313 00:16:53,160 --> 00:16:55,920 Speaker 1: they go I don't really mind them if they sort 314 00:16:55,920 --> 00:16:58,560 Speaker 1: of treat that people with some kind of respect, Like 315 00:16:58,680 --> 00:17:01,720 Speaker 1: if they go and they go around and they eat 316 00:17:01,760 --> 00:17:04,639 Speaker 1: the local specialties and say they're good or something like that. 317 00:17:04,720 --> 00:17:06,400 Speaker 1: I like that kind of thing. But what I don't 318 00:17:06,440 --> 00:17:09,480 Speaker 1: like is a lot of it just sounds like, oh 319 00:17:09,520 --> 00:17:13,800 Speaker 1: my god, these idiots in this healthscape, the stupid things 320 00:17:13,840 --> 00:17:17,960 Speaker 1: that they're saying, you know, and yet somehow the fact 321 00:17:17,960 --> 00:17:20,919 Speaker 1: that these idiots in this healthscape are saying stupid things 322 00:17:21,160 --> 00:17:24,160 Speaker 1: really reflects a failure of democrats to get to them. 323 00:17:24,240 --> 00:17:26,159 Speaker 1: That's sort of the vibe that I get from a 324 00:17:26,160 --> 00:17:28,440 Speaker 1: lot of it, and I think it's it's very bad, 325 00:17:28,520 --> 00:17:30,880 Speaker 1: I think in a lot of different ways. Yeah, it's 326 00:17:31,040 --> 00:17:34,960 Speaker 1: very interesting. I think that this idea of like this 327 00:17:35,200 --> 00:17:40,320 Speaker 1: kind of inability to connect with the with the fantasy 328 00:17:40,840 --> 00:17:43,760 Speaker 1: because it's not even real, right, with the fantasy of 329 00:17:43,960 --> 00:17:49,639 Speaker 1: quote unquote regular Joe's is um super interesting and problematic 330 00:17:49,720 --> 00:17:52,280 Speaker 1: for probably all of us. Right, I mean, you're a 331 00:17:52,320 --> 00:17:56,080 Speaker 1: math professor, right, Yeah, But I lived in fly Over Country. 332 00:17:56,119 --> 00:17:58,280 Speaker 1: I live in I mean, you know, I grew up 333 00:17:58,320 --> 00:18:00,840 Speaker 1: in a very rayal area. I wouldn't say that I 334 00:18:01,280 --> 00:18:03,640 Speaker 1: totally you know, I mean, I I am an upper 335 00:18:03,640 --> 00:18:06,399 Speaker 1: middle class person living in a very liberal neighborhood and 336 00:18:06,400 --> 00:18:09,880 Speaker 1: so on. But I don't think that people who live 337 00:18:09,960 --> 00:18:14,080 Speaker 1: in areas outside of outside of the coasts really do 338 00:18:14,200 --> 00:18:18,120 Speaker 1: have quite a strange disconnect with people in fly Over 339 00:18:18,160 --> 00:18:21,720 Speaker 1: Country because we live there ourselves and probviously were economically 340 00:18:21,800 --> 00:18:24,720 Speaker 1: and culturally different than some of the people that live nearbias. 341 00:18:24,720 --> 00:18:28,879 Speaker 1: But yeah, we drive through their neighborhood sometimes we you know, 342 00:18:29,119 --> 00:18:32,000 Speaker 1: see see I see, I see the kind of people 343 00:18:32,040 --> 00:18:35,000 Speaker 1: that in our time seems to you know, mock or 344 00:18:35,160 --> 00:18:37,280 Speaker 1: or elevate depending how you look at it, all the 345 00:18:37,320 --> 00:18:39,800 Speaker 1: time in my regular life. And so I think there's 346 00:18:39,800 --> 00:18:43,720 Speaker 1: a geographic It's not just a cultural class issue. It's 347 00:18:43,720 --> 00:18:46,720 Speaker 1: a geographic And this is something, by the way, I 348 00:18:47,240 --> 00:18:50,280 Speaker 1: know a lot of local reporters, not just here, but 349 00:18:50,320 --> 00:18:53,520 Speaker 1: actually various ones, like from Ohio told me they like 350 00:18:53,600 --> 00:18:55,520 Speaker 1: the account stuff, and I talked to them, and I 351 00:18:55,560 --> 00:18:59,159 Speaker 1: think they they're journalists too, very good journalists, honestly, and 352 00:19:00,080 --> 00:19:03,280 Speaker 1: I think that if they wrote these articles instead, they 353 00:19:03,320 --> 00:19:06,679 Speaker 1: would be much better articles. Thank you so much, New 354 00:19:06,760 --> 00:19:09,520 Speaker 1: York Times, pitch Pot. I hope you'll come back. I'd 355 00:19:09,560 --> 00:19:15,800 Speaker 1: love to. Philip Bump is a national columnist for The 356 00:19:15,800 --> 00:19:20,600 Speaker 1: Washington Post. Welcome to Fast Politics, Philip Bump, Thank you 357 00:19:20,680 --> 00:19:23,080 Speaker 1: very much. So I wanted to talk to you about 358 00:19:23,080 --> 00:19:29,000 Speaker 1: the Constitution. Sure, great McCarthy decides he's going to start 359 00:19:29,359 --> 00:19:33,720 Speaker 1: Congress when and if he becomes speaker with the reading 360 00:19:33,720 --> 00:19:37,639 Speaker 1: of the Constitution, then this weekend, Donald Trump, there were 361 00:19:37,680 --> 00:19:41,240 Speaker 1: a lot of crazy truth this weekend, but one of 362 00:19:41,280 --> 00:19:47,760 Speaker 1: them called for a set aside of the Constitution. Can 363 00:19:47,800 --> 00:19:50,480 Speaker 1: we talk about that? Yeah, no, absolutely, And he then 364 00:19:50,520 --> 00:19:52,320 Speaker 1: tried to sort of backtrack and say, well, I mean 365 00:19:52,320 --> 00:19:53,960 Speaker 1: the whole constant, you know, I mean the way that 366 00:19:54,040 --> 00:19:56,800 Speaker 1: he does things, but yes, just the parts he doesn't like. 367 00:19:57,280 --> 00:20:00,439 Speaker 1: He called the termination of all rules, regulations, the articles, 368 00:20:00,480 --> 00:20:02,520 Speaker 1: even though it is found in this Constitution. There is 369 00:20:02,600 --> 00:20:05,040 Speaker 1: no world in which Trump has ever sort of held 370 00:20:05,080 --> 00:20:10,040 Speaker 1: responsible for what he says. Yeah, I mean that's I mean. 371 00:20:10,560 --> 00:20:13,040 Speaker 1: I was actually, uh, something that I'm sort of working 372 00:20:13,119 --> 00:20:15,840 Speaker 1: on today is all the times that people said, okay, 373 00:20:15,880 --> 00:20:17,440 Speaker 1: this is it that Donald Trump's gone too far? I 374 00:20:17,480 --> 00:20:19,320 Speaker 1: mean the point that we've had two in the past 375 00:20:19,359 --> 00:20:22,120 Speaker 1: three weeks, right, I mean, like, yeah, I mean this 376 00:20:22,200 --> 00:20:27,560 Speaker 1: is someone who obviously, since July, the Republican Party has 377 00:20:27,560 --> 00:20:30,440 Speaker 1: been hoping he'll just sort of go away, uh, and 378 00:20:30,640 --> 00:20:33,520 Speaker 1: not really interested in sort of tackling the problem themselves. 379 00:20:33,560 --> 00:20:36,320 Speaker 1: I I at one point in time analogized it to 380 00:20:36,400 --> 00:20:39,240 Speaker 1: the TV show Holders, in which the Republican Party just 381 00:20:39,240 --> 00:20:41,639 Speaker 1: sort of let their house fill up with garbage and 382 00:20:41,720 --> 00:20:43,240 Speaker 1: someone had to come in and be like, hey, guys, 383 00:20:43,280 --> 00:20:44,960 Speaker 1: your house is full of garbage, and you're like, well, yeah, 384 00:20:44,960 --> 00:20:46,480 Speaker 1: but we just, you know, we sort of make do 385 00:20:46,600 --> 00:20:48,480 Speaker 1: and we just sort of live with this household of 386 00:20:48,520 --> 00:20:50,399 Speaker 1: the garbage. But you know, it seems very clear that 387 00:20:50,440 --> 00:20:52,800 Speaker 1: they're not going to actually tackle the problem themselves. So 388 00:20:52,920 --> 00:20:56,520 Speaker 1: let's go further with this, because it's strange. I mean, 389 00:20:56,920 --> 00:21:01,280 Speaker 1: it seems to me like there was a scandal which 390 00:21:01,320 --> 00:21:05,320 Speaker 1: was Trump having dinner with Kanye and a white nationalist right, 391 00:21:05,480 --> 00:21:08,200 Speaker 1: so that the scandal was like, oh my god, Trump 392 00:21:08,280 --> 00:21:11,560 Speaker 1: had dinner with Nick quinte Is while Kanye was in 393 00:21:11,600 --> 00:21:15,720 Speaker 1: the middle of an anti Semitic tear which has continued 394 00:21:15,800 --> 00:21:20,040 Speaker 1: un debated. And then that scandal was interrupted by another scandal, 395 00:21:20,200 --> 00:21:24,320 Speaker 1: which was this weekend Trump saying that whatever, you know, 396 00:21:24,840 --> 00:21:28,240 Speaker 1: throwing with the constitution. I mean, do you find this 397 00:21:28,400 --> 00:21:30,560 Speaker 1: to be I mean, this reminds me of the Trump 398 00:21:30,560 --> 00:21:33,919 Speaker 1: administration a little bit. Yeah, No, I think that's right 399 00:21:33,920 --> 00:21:35,560 Speaker 1: where you sort of had them sort of stacking on 400 00:21:35,640 --> 00:21:37,840 Speaker 1: top of each other. I do think that one of 401 00:21:37,880 --> 00:21:39,840 Speaker 1: the things we've been seeing, and I think Donald Trump 402 00:21:39,880 --> 00:21:41,719 Speaker 1: is is very attuned to this. One of the things 403 00:21:41,760 --> 00:21:44,960 Speaker 1: we're seeing is we are actually getting I think, people 404 00:21:45,000 --> 00:21:48,119 Speaker 1: being more willing to more quickly step up and say 405 00:21:48,160 --> 00:21:51,520 Speaker 1: things that are critical of Trump. Again, it's often kind 406 00:21:51,520 --> 00:21:54,720 Speaker 1: of passive or want and you know, it's not necessarily 407 00:21:54,760 --> 00:21:57,640 Speaker 1: the sort of, you know, vociferous denunciation that you would 408 00:21:57,640 --> 00:22:00,400 Speaker 1: hope for if you have a former president who's saying 409 00:22:00,400 --> 00:22:01,960 Speaker 1: that the Constitution should be set aside so that he 410 00:22:02,000 --> 00:22:05,200 Speaker 1: can be reinstalled into into the presidency. But you are 411 00:22:05,320 --> 00:22:09,200 Speaker 1: seeing it, and I think that Republican Party is slowly 412 00:22:09,280 --> 00:22:12,440 Speaker 1: coming to terms with the fact that maybe they're actually 413 00:22:12,440 --> 00:22:14,639 Speaker 1: getting to the point where Donald Trump might be fitted 414 00:22:14,640 --> 00:22:16,880 Speaker 1: from the scene where you know, we're starting to see 415 00:22:16,880 --> 00:22:20,080 Speaker 1: polling where Donald Trump isn't really doing that well against 416 00:22:20,240 --> 00:22:24,360 Speaker 1: potential other candidates. He still got a path to the nomination, certainly, 417 00:22:24,720 --> 00:22:28,120 Speaker 1: but I think the Republicans and Trump are very aware 418 00:22:28,800 --> 00:22:31,879 Speaker 1: that this is not what it was, and it may 419 00:22:31,920 --> 00:22:34,640 Speaker 1: not even be what it was, right, I mean, that's 420 00:22:34,640 --> 00:22:37,800 Speaker 1: the big question part of his the way he sort 421 00:22:37,840 --> 00:22:41,480 Speaker 1: of was able to win the nomination was to be 422 00:22:41,640 --> 00:22:44,359 Speaker 1: a kind of joke, right, and to ride that free 423 00:22:44,440 --> 00:22:47,760 Speaker 1: media into the White House. I mean, don't you think 424 00:22:47,800 --> 00:22:49,520 Speaker 1: there was a sense of that? Yeah, I mean I 425 00:22:49,520 --> 00:22:51,800 Speaker 1: think that there certainly was. It was the case that 426 00:22:51,880 --> 00:22:54,679 Speaker 1: Donald Trump attracted a lot of attention because he was 427 00:22:54,720 --> 00:22:59,440 Speaker 1: a novelty. But I really think that the the way 428 00:22:59,480 --> 00:23:01,840 Speaker 1: in which Donald Trump won the presidency or won the 429 00:23:01,880 --> 00:23:06,480 Speaker 1: nomination was that he basically just parroted back the nonsense 430 00:23:06,480 --> 00:23:08,480 Speaker 1: that he heard in conservative media to a base to 431 00:23:08,520 --> 00:23:11,760 Speaker 1: consume that media. You know, mainstream Republicans weren't saying the 432 00:23:11,760 --> 00:23:13,639 Speaker 1: things that that you saw him right bark, because there 433 00:23:13,640 --> 00:23:17,479 Speaker 1: were nonsense and lies, you know, and and dishonest you know, 434 00:23:17,560 --> 00:23:20,200 Speaker 1: and you are things that that were mentioned by Shawan 435 00:23:20,240 --> 00:23:23,560 Speaker 1: Handyon Fox News. Mainstream Republicans were happy to have those 436 00:23:23,560 --> 00:23:25,920 Speaker 1: people be their allies, but they weren't necessarily saying that 437 00:23:25,960 --> 00:23:27,760 Speaker 1: things about immigration that you would see in the far 438 00:23:27,880 --> 00:23:30,320 Speaker 1: right conservative media. Donald Trump said it, and so that's 439 00:23:30,320 --> 00:23:32,560 Speaker 1: how he got the reputation among Republicans as being a 440 00:23:32,600 --> 00:23:34,520 Speaker 1: truth teller, because he just said the nonsense that was 441 00:23:34,600 --> 00:23:36,680 Speaker 1: be he himself was picking up out a conservative media 442 00:23:36,680 --> 00:23:38,639 Speaker 1: and feeding and back to Republicans. So yeah, I mean, 443 00:23:38,680 --> 00:23:42,080 Speaker 1: I do think that obviously he benefited from this sort 444 00:23:42,119 --> 00:23:45,399 Speaker 1: of novelty status in sixteen, but I really think his 445 00:23:45,520 --> 00:23:49,240 Speaker 1: success originated, and people forget this to some extent, it 446 00:23:49,359 --> 00:23:52,200 Speaker 1: started with the blowback from his speech, his announcement speech 447 00:23:52,200 --> 00:23:54,720 Speaker 1: in June, when he got into that giant fight with Univision, 448 00:23:54,720 --> 00:23:56,760 Speaker 1: he got into giant fight with Macy's, and that drew 449 00:23:56,760 --> 00:23:59,199 Speaker 1: a ton of attention to his rhetoric on immigration, and 450 00:23:59,280 --> 00:24:01,159 Speaker 1: a lot of Republican parts are like, oh, yeah, this 451 00:24:01,200 --> 00:24:03,320 Speaker 1: guy is finally saying the things in immigration that I 452 00:24:03,400 --> 00:24:05,480 Speaker 1: want people to say because they've been seeing the Fox 453 00:24:05,520 --> 00:24:08,560 Speaker 1: News And I think I think that was the primary 454 00:24:08,680 --> 00:24:10,760 Speaker 1: thing that that sort of gave him the momentum that 455 00:24:10,760 --> 00:24:14,120 Speaker 1: he needed to win. Yeah, No, I think that's that's right. 456 00:24:14,200 --> 00:24:18,720 Speaker 1: So this time around, he doesn't have that advantage. I mean, 457 00:24:18,760 --> 00:24:21,159 Speaker 1: do you think that's true or now he does not 458 00:24:21,440 --> 00:24:24,040 Speaker 1: have the distinct advantage of being the only guy who's 459 00:24:24,040 --> 00:24:26,160 Speaker 1: going to say the nonsense and far right media since 460 00:24:26,160 --> 00:24:28,720 Speaker 1: a lot of Republicans say that nonsense, including Rohanda santiss. 461 00:24:28,880 --> 00:24:32,440 Speaker 1: He does, however, have the advantage of having a much 462 00:24:32,520 --> 00:24:35,960 Speaker 1: more robust constituency that he did at the outset, and 463 00:24:36,000 --> 00:24:37,919 Speaker 1: so he ends up sort of in the same place 464 00:24:37,960 --> 00:24:40,959 Speaker 1: where in he had this core base of people who 465 00:24:41,040 --> 00:24:44,399 Speaker 1: really supported him, largely because of the factor that I 466 00:24:44,440 --> 00:24:47,280 Speaker 1: was just describing. Now he still has that base. It's 467 00:24:47,359 --> 00:24:50,399 Speaker 1: not a majority of the party necessarily, and you know, 468 00:24:50,440 --> 00:24:53,240 Speaker 1: obviously a majority of the party views him positively, but 469 00:24:53,320 --> 00:24:55,240 Speaker 1: I think that it is not necessarily a majority of 470 00:24:55,280 --> 00:24:57,159 Speaker 1: the party that wants to see him win again in 471 00:24:57,840 --> 00:25:01,240 Speaker 1: four based on polling. But again, depending what field looks like, 472 00:25:01,359 --> 00:25:03,199 Speaker 1: he may not need a majority disupport him at this 473 00:25:03,240 --> 00:25:05,840 Speaker 1: point and work again, win the nomination right because of 474 00:25:05,880 --> 00:25:09,199 Speaker 1: the electoral college, No, just the nomination because of the 475 00:25:09,240 --> 00:25:11,760 Speaker 1: way that the primary process works, and then just wait 476 00:25:11,800 --> 00:25:13,679 Speaker 1: until everyone else has sort of winnowed out, and then 477 00:25:13,720 --> 00:25:15,960 Speaker 1: he becomes sort of a you know, he wins enough 478 00:25:16,480 --> 00:25:18,560 Speaker 1: when you take all the states for delegates and he's 479 00:25:18,600 --> 00:25:21,560 Speaker 1: back in the back in the driversy. That sounds just great. 480 00:25:21,920 --> 00:25:26,240 Speaker 1: So I want to talk to you now about if 481 00:25:26,280 --> 00:25:30,000 Speaker 1: you were online this weekend, or maybe you had a life. 482 00:25:30,240 --> 00:25:33,200 Speaker 1: I was online this weekend, So I was able to 483 00:25:33,240 --> 00:25:39,919 Speaker 1: absorb the Twitter files, which was this weird, which was 484 00:25:39,960 --> 00:25:42,800 Speaker 1: this weird I don't even know what it was. It 485 00:25:42,880 --> 00:25:46,560 Speaker 1: was Elon Musk, you know, giving us the real truth 486 00:25:46,960 --> 00:25:51,160 Speaker 1: through mad to hee be. But basically the net net 487 00:25:51,160 --> 00:25:53,240 Speaker 1: of it, which is the story you just wrote, was 488 00:25:53,320 --> 00:25:57,040 Speaker 1: that Hunter Biden's that the suppression of this New York 489 00:25:57,040 --> 00:26:01,240 Speaker 1: Post story about Hunter Biden's lap top may have cost 490 00:26:01,320 --> 00:26:05,560 Speaker 1: Donald Trump the election discuss. Yeah, so I think there's 491 00:26:05,560 --> 00:26:08,200 Speaker 1: two components here. There is the component that Elon Musk 492 00:26:08,320 --> 00:26:10,879 Speaker 1: is focused on, which is this idea that Twitter behaved 493 00:26:11,000 --> 00:26:13,600 Speaker 1: with a heavy hand that sort of reveals the way 494 00:26:13,640 --> 00:26:15,879 Speaker 1: that tech is out to get the right right. You know. 495 00:26:15,920 --> 00:26:19,320 Speaker 1: I think it's certainly is clear that there is cause 496 00:26:19,480 --> 00:26:23,160 Speaker 1: to have a debate over whether or not Twitter acted 497 00:26:23,480 --> 00:26:26,280 Speaker 1: properly when it when it, you know, muffled this New 498 00:26:26,359 --> 00:26:29,040 Speaker 1: York Post story. But I don't think that what is 499 00:26:29,080 --> 00:26:32,000 Speaker 1: revealed by the Twitter files supports Musk's argument that the 500 00:26:32,119 --> 00:26:36,320 Speaker 1: right is being unfairly censored. But then, because this is 501 00:26:36,359 --> 00:26:39,520 Speaker 1: inherently not something that's terribly important, you know, I mean 502 00:26:39,800 --> 00:26:43,240 Speaker 1: the idea that Twitter, which you know, a small fraction 503 00:26:43,280 --> 00:26:46,360 Speaker 1: of Americans use for a brief period of time kept 504 00:26:46,359 --> 00:26:49,720 Speaker 1: people from sharing the story that's not hugely consequential in 505 00:26:49,760 --> 00:26:52,800 Speaker 1: the grand scheme of things. It doesn't have First Amendment implications, 506 00:26:52,840 --> 00:26:54,640 Speaker 1: as a lot of people sort of insist that it does, 507 00:26:55,040 --> 00:26:57,800 Speaker 1: and so it has become this sort of mantra on 508 00:26:57,840 --> 00:27:00,560 Speaker 1: the right that this was a thing that kept from winning, 509 00:27:00,760 --> 00:27:03,679 Speaker 1: which by itself is just nonsensical based on everything we 510 00:27:03,720 --> 00:27:07,040 Speaker 1: know about about why Donald Trump lost in But this 511 00:27:07,160 --> 00:27:09,040 Speaker 1: is elevated of the course of the past two days 512 00:27:09,040 --> 00:27:11,159 Speaker 1: because it is a way of making it seem as 513 00:27:11,200 --> 00:27:13,800 Speaker 1: though the Twitter files are more important than they are. 514 00:27:14,119 --> 00:27:17,239 Speaker 1: I liked the the Elon tweet where he said this 515 00:27:17,320 --> 00:27:20,359 Speaker 1: is a violation of the First Amendment, and then the 516 00:27:20,520 --> 00:27:24,480 Speaker 1: sort of like his Internet support system. You know, all 517 00:27:24,520 --> 00:27:28,800 Speaker 1: of the Twitter people who are like Elon fans uh 518 00:27:28,880 --> 00:27:32,479 Speaker 1: said yes, and violation of the First Amendment is you know, 519 00:27:32,560 --> 00:27:36,919 Speaker 1: akin to treason, and I think you can violate people's amendments. 520 00:27:37,280 --> 00:27:41,080 Speaker 1: It's okay. The dialogue here has been pretty deranged, right. 521 00:27:41,359 --> 00:27:43,720 Speaker 1: It's sort of fascinating because all the people, all the 522 00:27:43,760 --> 00:27:46,000 Speaker 1: people who are now saying, yeah, this doesn't really tell 523 00:27:46,040 --> 00:27:48,040 Speaker 1: us anything new, are the exact same people who two 524 00:27:48,040 --> 00:27:50,240 Speaker 1: months ago were like, Yeah, your new verification scheme is 525 00:27:50,280 --> 00:27:52,760 Speaker 1: going to backfire and blow up in your face, right, Like, 526 00:27:52,920 --> 00:27:54,679 Speaker 1: there are a lot of people who know how Twitter 527 00:27:54,720 --> 00:27:56,399 Speaker 1: works and what it does and what it's done in 528 00:27:56,400 --> 00:27:58,880 Speaker 1: the past, and who understand it way better than does 529 00:27:58,920 --> 00:28:02,320 Speaker 1: Elon Musk. Elon Musk has been very effective at building 530 00:28:02,600 --> 00:28:04,600 Speaker 1: you know, one of the things that Twitter is good 531 00:28:04,600 --> 00:28:07,280 Speaker 1: at is allowing people to exist within echo chambers. And 532 00:28:07,320 --> 00:28:09,520 Speaker 1: what Elon Musk has done since he took ownership of 533 00:28:09,560 --> 00:28:13,160 Speaker 1: Twitter as he's really he has both pushed away people 534 00:28:13,160 --> 00:28:15,280 Speaker 1: who are you know, skeptical of him, and he has 535 00:28:15,320 --> 00:28:18,320 Speaker 1: embraced people who adore him. And so he's just sort 536 00:28:18,320 --> 00:28:20,760 Speaker 1: of increased the volume of people who can participate in 537 00:28:20,800 --> 00:28:23,040 Speaker 1: these echo chambers. And so I think, you know, the 538 00:28:23,440 --> 00:28:27,480 Speaker 1: response to these Twitter files as being way over the top, 539 00:28:27,800 --> 00:28:31,159 Speaker 1: just really really way over the top and insisting that 540 00:28:31,200 --> 00:28:33,800 Speaker 1: there was some massive discovery here. I think that that's 541 00:28:33,840 --> 00:28:38,480 Speaker 1: particularly noxious on Twitter simply because Elon Musk is involved, 542 00:28:38,480 --> 00:28:41,600 Speaker 1: and he has done such a good job of inflating 543 00:28:41,720 --> 00:28:44,280 Speaker 1: the universe of people who agree with him on the 544 00:28:44,280 --> 00:28:49,760 Speaker 1: social media platform. Yeah, I mean that is what's so incredible. Yeah, 545 00:28:49,840 --> 00:28:52,360 Speaker 1: it does seem like the discourse has gotten stupider, which 546 00:28:52,600 --> 00:28:56,320 Speaker 1: I never thought possible. Sure, it's an achievement in its 547 00:28:56,320 --> 00:28:59,160 Speaker 1: own right. Absolutely, Yeah. Do you think there'll be another 548 00:28:59,200 --> 00:29:01,800 Speaker 1: Twitter file? But because we were promised more Twitter files? 549 00:29:01,880 --> 00:29:06,160 Speaker 1: Yeah we were. I mean, I I would love to 550 00:29:06,240 --> 00:29:09,040 Speaker 1: have been inside Matt Taieb's brain as he is reading 551 00:29:09,080 --> 00:29:12,080 Speaker 1: this stuff, because I like to think that he still 552 00:29:12,120 --> 00:29:16,600 Speaker 1: recognizes when nonsense is nonsense. You know, maybe that's just 553 00:29:16,680 --> 00:29:19,280 Speaker 1: me being overly optimistic. I like to think that he 554 00:29:19,360 --> 00:29:21,320 Speaker 1: sort of read this stuff. I was like, well, there's 555 00:29:21,400 --> 00:29:23,760 Speaker 1: not a lot here, but I'll do my best, right, 556 00:29:24,240 --> 00:29:27,120 Speaker 1: And so I'm curious. I don't know who is responsible 557 00:29:27,160 --> 00:29:30,920 Speaker 1: for the second cash of Twitter files, and maybe Bari Weiss, 558 00:29:31,000 --> 00:29:33,320 Speaker 1: and I like to think that she's currently you know, 559 00:29:33,360 --> 00:29:34,960 Speaker 1: if she is the person who's sort of doing the 560 00:29:35,000 --> 00:29:37,360 Speaker 1: second review, that she is currently in the same position 561 00:29:37,440 --> 00:29:40,560 Speaker 1: just being like, Okay, how do I milk this and 562 00:29:40,600 --> 00:29:42,800 Speaker 1: the attention that it's going to give me? Well, at 563 00:29:42,800 --> 00:29:46,400 Speaker 1: the same time recognizing me there's probably not a lot here. 564 00:29:46,440 --> 00:29:49,000 Speaker 1: Who knows. I may be proven wrong, maybe there's some 565 00:29:49,040 --> 00:29:51,520 Speaker 1: bombshell in there. I'm sort of skepticled there will I 566 00:29:51,560 --> 00:29:53,440 Speaker 1: thought it was sort of interesting that it was like 567 00:29:53,640 --> 00:29:58,239 Speaker 1: people were so agitated about it and so excited, and 568 00:29:58,280 --> 00:30:00,920 Speaker 1: it was like a conviction that there was something in there. 569 00:30:01,360 --> 00:30:03,920 Speaker 1: But if you read it, you're like, and especially when 570 00:30:03,920 --> 00:30:06,160 Speaker 1: you if you look at the tweets and you see 571 00:30:06,160 --> 00:30:10,160 Speaker 1: where they matched to their you know, these inappropriate pictures 572 00:30:10,160 --> 00:30:13,840 Speaker 1: of hundre Biden, which in themselves, I mean, it's not 573 00:30:13,960 --> 00:30:17,000 Speaker 1: it doesn't really you know, yeah, I mean it's it 574 00:30:17,320 --> 00:30:19,920 Speaker 1: very much is in keeping with this recent pattern we've 575 00:30:19,920 --> 00:30:22,200 Speaker 1: seen in which, you know, it used to be the 576 00:30:22,280 --> 00:30:24,840 Speaker 1: right will get worked up over when they managed to 577 00:30:24,840 --> 00:30:27,440 Speaker 1: own the Libs, and then it's sort of evolved, and 578 00:30:27,480 --> 00:30:29,240 Speaker 1: I think it's sort of a turning point here was 579 00:30:29,280 --> 00:30:32,560 Speaker 1: that the Santists Martha has been here in Nantucketria, which 580 00:30:32,600 --> 00:30:35,120 Speaker 1: island it was when he sent the immigrants there. Martha's 581 00:30:35,160 --> 00:30:38,800 Speaker 1: when you're not nntectic because a lot of Republican donors 582 00:30:38,920 --> 00:30:42,440 Speaker 1: live on Nantucket. Very good, okay, but the response from 583 00:30:42,480 --> 00:30:44,400 Speaker 1: the island was sort of like, Okay, you're welcome, and 584 00:30:44,440 --> 00:30:45,920 Speaker 1: you know, we'll deal with you. And but it was 585 00:30:45,920 --> 00:30:49,360 Speaker 1: still treated like this massive own on the Libs. And 586 00:30:49,400 --> 00:30:51,040 Speaker 1: I think that we're sort of in the same territory 587 00:30:51,040 --> 00:30:53,440 Speaker 1: here where it this is just because it has been 588 00:30:53,480 --> 00:30:56,280 Speaker 1: presented as being a known on the libs by people 589 00:30:56,320 --> 00:30:59,360 Speaker 1: who wanted to be known on the libs. Then everyone's saying, 590 00:30:59,480 --> 00:31:03,560 Speaker 1: how we in the libs, even though the libs are like, 591 00:31:03,640 --> 00:31:07,880 Speaker 1: well not really, yeah, not very own. Do you think 592 00:31:07,920 --> 00:31:11,720 Speaker 1: it's true that there's this idea that Elan is sort 593 00:31:11,760 --> 00:31:16,400 Speaker 1: of rediscovering all the things that Twitter has discovered, So like, 594 00:31:16,520 --> 00:31:19,200 Speaker 1: he had this verification system and then there were all 595 00:31:19,240 --> 00:31:23,080 Speaker 1: these fakes, so now he has this new verification which 596 00:31:23,240 --> 00:31:25,520 Speaker 1: is like different color badges, or maybe he's not going 597 00:31:25,600 --> 00:31:28,200 Speaker 1: to do it at all, and then you know, he 598 00:31:28,320 --> 00:31:31,160 Speaker 1: had this you know, he didn't want to have content moderation, 599 00:31:31,360 --> 00:31:34,080 Speaker 1: but then you know, he brought Kanye back, but then 600 00:31:34,080 --> 00:31:36,240 Speaker 1: he had to ban Kanye again. I mean, do you 601 00:31:36,280 --> 00:31:39,400 Speaker 1: think he's sort of relearning everything that they have learned 602 00:31:39,480 --> 00:31:42,400 Speaker 1: in the early days of Twitter? Well, I hope he is, honestly, 603 00:31:42,560 --> 00:31:45,360 Speaker 1: you know, there definitely is sort of an ontogeny recapitulates 604 00:31:45,360 --> 00:31:47,880 Speaker 1: bylogeny vibe to this whole thing in which he's sort 605 00:31:47,920 --> 00:31:51,640 Speaker 1: of re going through all these evolutionary steps that already existed. 606 00:31:52,560 --> 00:31:56,160 Speaker 1: I think fundamentally Elon Musk is a person who has 607 00:31:56,200 --> 00:31:59,360 Speaker 1: taught himself that he knows better than everyone, and so 608 00:31:59,440 --> 00:32:01,680 Speaker 1: he came in to Twitter and had this sense that 609 00:32:01,840 --> 00:32:04,040 Speaker 1: they must be doing everything wrong and stupidly and he 610 00:32:04,080 --> 00:32:06,560 Speaker 1: could fix it. And now he's just sort of very 611 00:32:06,640 --> 00:32:09,760 Speaker 1: gradually coming back to where they were. You know, I mean, honestly, 612 00:32:09,760 --> 00:32:12,440 Speaker 1: it's the world's most suspensive done and grew experiment. Right. 613 00:32:12,560 --> 00:32:14,600 Speaker 1: He got to the top of that first hill and 614 00:32:14,680 --> 00:32:16,960 Speaker 1: was very confident, knew everything about it, and now he's 615 00:32:16,960 --> 00:32:19,560 Speaker 1: heading backed down and you know, maybe eventually he'll he'll 616 00:32:19,680 --> 00:32:21,760 Speaker 1: rise back up and expertise, but you know, he just 617 00:32:21,880 --> 00:32:24,840 Speaker 1: he just he just fundamentally didn't understand what the platform 618 00:32:24,920 --> 00:32:27,400 Speaker 1: was for and about. And he really really believed this 619 00:32:27,560 --> 00:32:31,160 Speaker 1: nonsense about conservative voices being shut out on fairly and 620 00:32:31,160 --> 00:32:32,720 Speaker 1: so on and so forth, and that's driven a lot 621 00:32:32,720 --> 00:32:36,120 Speaker 1: of his decisions since. Yeah, it's amazing stuff. So you 622 00:32:36,240 --> 00:32:40,840 Speaker 1: talked about this Georgia runoff and the idea that early 623 00:32:40,920 --> 00:32:45,680 Speaker 1: voting isn't as diagnostic as perhaps many in politics treated 624 00:32:45,760 --> 00:32:48,040 Speaker 1: to be. Can you talk about that, because it's like 625 00:32:48,120 --> 00:32:51,520 Speaker 1: early voting isn't diagnostic and pulling isn't right. So basically, 626 00:32:51,520 --> 00:32:53,760 Speaker 1: we have nothing to go on. Well, pulling is a 627 00:32:53,800 --> 00:32:55,920 Speaker 1: little more so, because at least you're you know, you're 628 00:32:55,960 --> 00:32:58,800 Speaker 1: you're able to wait things appropriately and you know how 629 00:32:58,800 --> 00:33:00,720 Speaker 1: people are saying they're going to vote. The challenge with 630 00:33:00,760 --> 00:33:04,320 Speaker 1: early voting is that in Georgia in particular, one of 631 00:33:04,320 --> 00:33:05,720 Speaker 1: the things that we've seen in the past couple of 632 00:33:05,800 --> 00:33:09,880 Speaker 1: cycles is absolutely was the case in Georgia and elsewhere 633 00:33:10,000 --> 00:33:12,080 Speaker 1: that if you looked at the mail ballot, if mail 634 00:33:12,160 --> 00:33:14,400 Speaker 1: ballot was really really big, that was really really good 635 00:33:14,400 --> 00:33:17,680 Speaker 1: for Democrats, because Democrats are voting big by mail, especially 636 00:33:17,920 --> 00:33:20,520 Speaker 1: at the height of the pandemic in twenty. But what 637 00:33:20,560 --> 00:33:23,000 Speaker 1: we also learned in twenty is that it was hard 638 00:33:23,080 --> 00:33:25,160 Speaker 1: then to engage what election is will look like. And 639 00:33:25,160 --> 00:33:27,800 Speaker 1: of course early voting tells us one thing, election day 640 00:33:27,800 --> 00:33:29,400 Speaker 1: tells us something else, and we don't know anything about 641 00:33:29,400 --> 00:33:31,720 Speaker 1: election day tell election day. And so when I went 642 00:33:31,760 --> 00:33:33,840 Speaker 1: back and looked at the numbers from the run off 643 00:33:33,840 --> 00:33:37,680 Speaker 1: in one involving our fail Warnock, and then the numbers 644 00:33:37,720 --> 00:33:40,920 Speaker 1: from last month's general election in Georgia, and really what 645 00:33:40,960 --> 00:33:43,240 Speaker 1: we see is, yeah, I mean, we should expect Warnock 646 00:33:43,320 --> 00:33:45,640 Speaker 1: to win the early vote by double digits and we 647 00:33:45,640 --> 00:33:49,240 Speaker 1: should expect hershell Walker to win election day by double digits. 648 00:33:49,240 --> 00:33:51,160 Speaker 1: And the question is, just you know what happens when 649 00:33:51,160 --> 00:33:53,880 Speaker 1: he subtracted one number from the other. And so saying 650 00:33:53,880 --> 00:33:55,680 Speaker 1: that Warnock is doing well in early voting, yeah, he 651 00:33:55,720 --> 00:33:58,640 Speaker 1: better read right, and there's no evation he's not. But 652 00:33:58,720 --> 00:34:01,800 Speaker 1: that doesn't tell us that he's gonna win lose, right, Interesting, 653 00:34:01,840 --> 00:34:06,360 Speaker 1: But then at least the midterms will be over, thank god. Indeed, 654 00:34:06,440 --> 00:34:09,799 Speaker 1: Philip talk to us about you are baby boomer buck? Sure? 655 00:34:09,840 --> 00:34:12,000 Speaker 1: So I have book coming out in January called The Aftermath, 656 00:34:12,320 --> 00:34:13,879 Speaker 1: The Last Days of the Baby Boom and the Future 657 00:34:13,880 --> 00:34:15,960 Speaker 1: of Powered American. Essentially, what it does is it looks 658 00:34:16,000 --> 00:34:18,320 Speaker 1: at both the scale of the Baby Boom, which I 659 00:34:18,320 --> 00:34:20,319 Speaker 1: think a lot of people sort of under recognized, just 660 00:34:20,400 --> 00:34:23,800 Speaker 1: this massive, massive shift to the American economy and American 661 00:34:23,840 --> 00:34:26,880 Speaker 1: politics that last this day. But what it means as 662 00:34:26,920 --> 00:34:29,359 Speaker 1: the baby boom starts to fade, as baby Boomers dying 663 00:34:29,400 --> 00:34:31,920 Speaker 1: as millennials and gen Z sort of assents I'm gen 664 00:34:32,080 --> 00:34:33,880 Speaker 1: x or I always leave us out intentionally because no 665 00:34:33,880 --> 00:34:35,719 Speaker 1: one cares about us. A good pluses. But so the 666 00:34:35,760 --> 00:34:37,960 Speaker 1: book is sort of an exploration what happens with politics, 667 00:34:38,000 --> 00:34:40,560 Speaker 1: what happens with the economy, what happens with culture, and 668 00:34:40,600 --> 00:34:42,640 Speaker 1: what can we not foresee happening? And of course it's 669 00:34:42,640 --> 00:34:44,560 Speaker 1: got a lot of data, lot of data analysis and 670 00:34:44,560 --> 00:34:47,440 Speaker 1: and hopefully helps shed some light on this very weird moment, 671 00:34:47,520 --> 00:34:50,520 Speaker 1: which I think is really heavily driven by generational shift 672 00:34:50,560 --> 00:34:53,840 Speaker 1: that overlaps with racial shifts and all sorts of other factors. 673 00:34:53,880 --> 00:34:56,480 Speaker 1: So interesting. Thank you so much for joining us. I 674 00:34:56,520 --> 00:34:59,120 Speaker 1: hope you'll come back in January. Anytime you want me. 675 00:34:59,120 --> 00:35:04,480 Speaker 1: I'm happy to Nancy Northup is the president of the 676 00:35:04,520 --> 00:35:09,680 Speaker 1: Center for Reproductive Rights. Welcome too fast politics, Nancy Northup, 677 00:35:09,760 --> 00:35:11,960 Speaker 1: it's great to be here. Molly, We're so excited to 678 00:35:12,000 --> 00:35:13,799 Speaker 1: have you. You are the head of the Center for 679 00:35:13,880 --> 00:35:17,600 Speaker 1: Reproductive Rights. Can you give us just a quick sort 680 00:35:17,640 --> 00:35:22,160 Speaker 1: of TikTok of what is happening right now and reproductive rights? Yeah, 681 00:35:22,239 --> 00:35:24,399 Speaker 1: and let me just start by saying that the Center 682 00:35:24,520 --> 00:35:27,719 Speaker 1: Reproductive Rights, you know, we're lawyers, were human rights advocates. 683 00:35:27,760 --> 00:35:30,240 Speaker 1: We work here in the United States but also around 684 00:35:30,280 --> 00:35:33,279 Speaker 1: the world to ensure the reproductive rights are protected in 685 00:35:33,400 --> 00:35:36,400 Speaker 1: laws fundamental human rights. We argued the Jobs case in 686 00:35:36,440 --> 00:35:41,080 Speaker 1: the Supreme Court. It's been a harrowing several months, but 687 00:35:41,440 --> 00:35:43,799 Speaker 1: you know, we haven't missed a beat. We have been 688 00:35:43,880 --> 00:35:47,839 Speaker 1: back at it, filing cases in state court, pivoting from 689 00:35:47,880 --> 00:35:51,319 Speaker 1: federal court to state court against the trigger bands and 690 00:35:51,400 --> 00:35:58,160 Speaker 1: the attempts to resurrect long enjoined meaning blocked cree row 691 00:35:58,480 --> 00:36:01,880 Speaker 1: abortion bands, as well as you know, moving forward on 692 00:36:01,960 --> 00:36:06,480 Speaker 1: the whole new era of states protecting this right in 693 00:36:06,560 --> 00:36:10,960 Speaker 1: their state constitutions, which is an exciting, exciting frontier. So, 694 00:36:11,000 --> 00:36:13,360 Speaker 1: you know, my bottom line and thinking about the Dobs cases, 695 00:36:13,600 --> 00:36:16,280 Speaker 1: the Supreme Court and all the folks that were behind 696 00:36:16,719 --> 00:36:19,400 Speaker 1: having Rover verse are going to rue the day that 697 00:36:19,480 --> 00:36:21,400 Speaker 1: they did, because we're going to make sure that we 698 00:36:21,520 --> 00:36:25,560 Speaker 1: end up with stronger protections for access to abortion care 699 00:36:25,640 --> 00:36:28,400 Speaker 1: and the whole range of reproductive healthcare that we had 700 00:36:28,680 --> 00:36:32,600 Speaker 1: under the crumbling regime of Rowe freed up. This is 701 00:36:32,640 --> 00:36:36,040 Speaker 1: great to hear, and I love your attitude. Let's talk 702 00:36:36,120 --> 00:36:39,919 Speaker 1: about what the mid terms look like for choice. Yeah. Well, 703 00:36:39,960 --> 00:36:42,120 Speaker 1: I think one of the things that you know was 704 00:36:42,200 --> 00:36:48,280 Speaker 1: so important was to see how these ballot initiatives played out, 705 00:36:48,400 --> 00:36:50,239 Speaker 1: which you know got some but not a ton of 706 00:36:50,280 --> 00:36:55,880 Speaker 1: attention before the mid terms, but abortion was literally on 707 00:36:55,920 --> 00:37:01,120 Speaker 1: the ballot in five states, with Vermont and Michigan and 708 00:37:01,200 --> 00:37:07,520 Speaker 1: California asking the voters to put protection for reproductive rights 709 00:37:07,680 --> 00:37:12,400 Speaker 1: into their state constitutions. And then in Kentucky fighting a 710 00:37:12,440 --> 00:37:15,480 Speaker 1: ballot initiative that was designed to make sure that their 711 00:37:15,520 --> 00:37:21,000 Speaker 1: constitution did not protect abortion rights, and a Montana initiative 712 00:37:21,080 --> 00:37:24,320 Speaker 1: it was all about stigmatizing abortion, kind of a trial 713 00:37:24,400 --> 00:37:26,960 Speaker 1: balloon to see if they could go for banning it 714 00:37:27,000 --> 00:37:29,920 Speaker 1: in their state constitution. Everything of one of those the 715 00:37:30,280 --> 00:37:36,400 Speaker 1: attempts to restrict abortion rights defeated in Kentucky and Montana 716 00:37:36,560 --> 00:37:42,279 Speaker 1: and Michigan, California, Vermont enshrined in their state constitutions and 717 00:37:42,560 --> 00:37:46,120 Speaker 1: maybe not surprising in California and Vermont, but a big, 718 00:37:46,160 --> 00:37:48,919 Speaker 1: big deal in the state of Michigan. And before that 719 00:37:49,160 --> 00:37:53,080 Speaker 1: even you had the state of Kansas. Absolutely and there 720 00:37:53,080 --> 00:37:57,280 Speaker 1: were so many doubters about the state of Kansas before 721 00:37:57,320 --> 00:38:00,720 Speaker 1: the vote, thinking there was no path to victory. Kansas 722 00:38:00,760 --> 00:38:04,479 Speaker 1: voters proved otherwise. And you know what people often don't 723 00:38:04,520 --> 00:38:07,319 Speaker 1: focus on. They focus on the politics of like did 724 00:38:07,320 --> 00:38:11,719 Speaker 1: these prevailer get defeated? And again we're now six referendum 725 00:38:11,800 --> 00:38:14,560 Speaker 1: since Dubbs, and everything of one of them has broken 726 00:38:14,640 --> 00:38:19,440 Speaker 1: four abortion rights. The setup Reprotective Rights one the case 727 00:38:19,520 --> 00:38:22,680 Speaker 1: that established the constitutional right to abortion in the state 728 00:38:22,680 --> 00:38:26,640 Speaker 1: of Kansas several years ago. And it's really strong protection. 729 00:38:26,800 --> 00:38:29,640 Speaker 1: I mean, even when it came down, it protected the 730 00:38:29,719 --> 00:38:34,279 Speaker 1: right to abortion Kansas, stronger than the federal constitutional right 731 00:38:34,520 --> 00:38:37,640 Speaker 1: at the time and so stronger today. It's a very 732 00:38:37,680 --> 00:38:40,360 Speaker 1: strong right. And the people in Kansas said, hell, no, 733 00:38:41,200 --> 00:38:43,640 Speaker 1: we don't want our rights taken away. So you're a 734 00:38:43,640 --> 00:38:48,360 Speaker 1: fancy lawyer who did law review and who rights and things. 735 00:38:48,560 --> 00:38:52,440 Speaker 1: And I'm curious to know, besides leading this organization, I'm 736 00:38:52,440 --> 00:38:54,560 Speaker 1: curious to know, is there a world in which we 737 00:38:55,120 --> 00:38:59,919 Speaker 1: American women can have a protection that protects us now 738 00:39:00,040 --> 00:39:04,239 Speaker 1: nationally our choice? I mean, is that possible? Or is 739 00:39:04,360 --> 00:39:09,520 Speaker 1: the end of jobs really the end of national abortion rights? Oh? 740 00:39:09,560 --> 00:39:12,720 Speaker 1: It absolutely is not. I Mean one of the things 741 00:39:13,000 --> 00:39:15,839 Speaker 1: that people are waking up to is the fact that 742 00:39:16,040 --> 00:39:21,560 Speaker 1: Congress has the power to address the abortion access crisis. 743 00:39:22,080 --> 00:39:26,560 Speaker 1: And the Women's Health Protection Act was introduced a decade 744 00:39:26,600 --> 00:39:30,000 Speaker 1: ago in the US Congress because we could see even 745 00:39:30,200 --> 00:39:34,360 Speaker 1: during President Obama's administration, and Ginsburg is still on the 746 00:39:34,360 --> 00:39:37,239 Speaker 1: Supreme Court, Kennedy still in Supreme Court. We could see 747 00:39:37,239 --> 00:39:39,480 Speaker 1: what was happening at the state level. I mean at 748 00:39:39,480 --> 00:39:41,560 Speaker 1: the time, it felt a lot like you know, crying 749 00:39:41,560 --> 00:39:44,279 Speaker 1: in the wilderness right to get people to listen a 750 00:39:44,320 --> 00:39:47,359 Speaker 1: decade ago, but it was clear. So the Women's Health 751 00:39:47,360 --> 00:39:52,319 Speaker 1: Protection Act introduced a decade ago and building support, and 752 00:39:52,440 --> 00:39:58,880 Speaker 1: what it does is guarantee our right to receive abortion 753 00:39:59,040 --> 00:40:04,239 Speaker 1: services and a right to provide abortion services free from 754 00:40:04,520 --> 00:40:09,080 Speaker 1: bans and you know, medically unnecessary restrictions and all the 755 00:40:09,160 --> 00:40:11,279 Speaker 1: things that have been piling on and piling on for 756 00:40:11,440 --> 00:40:15,360 Speaker 1: years even before the Court reverse jobs. So the Whim's 757 00:40:15,360 --> 00:40:19,279 Speaker 1: Health Protection Act would re establish the right to abortion 758 00:40:19,320 --> 00:40:23,360 Speaker 1: in every state. And it passed the House of Representatives 759 00:40:23,440 --> 00:40:27,240 Speaker 1: twice in the past year, and it got to forty 760 00:40:27,560 --> 00:40:31,759 Speaker 1: nine votes in the Senate when the Senate voted on 761 00:40:31,800 --> 00:40:35,680 Speaker 1: it right after the leaked opinion came down. So you know, 762 00:40:35,960 --> 00:40:38,719 Speaker 1: it is going to be important for even as we 763 00:40:38,760 --> 00:40:41,439 Speaker 1: fight these state battles, and it's important that these state 764 00:40:41,480 --> 00:40:45,640 Speaker 1: constitutional rights get developed in court and through ballid initiatives, 765 00:40:45,640 --> 00:40:50,480 Speaker 1: but ultimately, ultimately there's got to be federal legislation to 766 00:40:50,600 --> 00:40:53,480 Speaker 1: ensure this right across the country. Do you think not 767 00:40:53,760 --> 00:40:57,279 Speaker 1: having passed the E r A was a mistake that 768 00:40:57,400 --> 00:40:59,279 Speaker 1: sort of opened the door to some of this or 769 00:40:59,320 --> 00:41:01,879 Speaker 1: do you think it didn't have anything to do with us. 770 00:41:02,000 --> 00:41:04,080 Speaker 1: Are you talking about the r A back in the 771 00:41:04,120 --> 00:41:06,960 Speaker 1: early eighties, the failure of that campaign. Yes, I'm the 772 00:41:07,040 --> 00:41:10,040 Speaker 1: daughter of a feminist, so I always think about, like 773 00:41:10,360 --> 00:41:14,719 Speaker 1: our failure to pass that after bro and if that 774 00:41:15,040 --> 00:41:18,440 Speaker 1: might have compounded some of our troubles. Of course, I 775 00:41:18,480 --> 00:41:22,760 Speaker 1: mean there was a whole crescendo towards you know, gender 776 00:41:22,800 --> 00:41:26,319 Speaker 1: equality that was coming up in the nineteen seventies, and 777 00:41:26,960 --> 00:41:28,799 Speaker 1: you know, one of the things I did, you know, 778 00:41:29,040 --> 00:41:31,759 Speaker 1: in my early years, was work on the what's called 779 00:41:31,760 --> 00:41:35,960 Speaker 1: the r A countdown campaign when time was running out. 780 00:41:36,480 --> 00:41:38,920 Speaker 1: And uh, it would have been a huge difference the 781 00:41:39,080 --> 00:41:41,839 Speaker 1: ARRA to pass. But you cannot blame that as a 782 00:41:41,880 --> 00:41:45,360 Speaker 1: failure of the women's movement. You have to remember what 783 00:41:45,440 --> 00:41:49,400 Speaker 1: the composition of state legislatures were right in the early 784 00:41:49,480 --> 00:41:54,279 Speaker 1: nineteen eighties. They were predominantly male. You know, women were 785 00:41:54,320 --> 00:41:57,239 Speaker 1: not being elected to office then in the numbers they 786 00:41:57,239 --> 00:41:59,239 Speaker 1: are today and even now, I mean there's nowhere near 787 00:41:59,360 --> 00:42:02,680 Speaker 1: gender pair in any legislative house, and certainly not in 788 00:42:02,719 --> 00:42:05,760 Speaker 1: the Congress. So you know, not for lack of trying, 789 00:42:06,239 --> 00:42:08,640 Speaker 1: not for lack of trying. You know, it is tough 790 00:42:08,680 --> 00:42:13,320 Speaker 1: to amend the Constitution. And the reality is the Republican 791 00:42:13,360 --> 00:42:15,880 Speaker 1: parties which did its stance on the e r A. 792 00:42:16,080 --> 00:42:18,160 Speaker 1: Can you say a little more about that. Yeah, I 793 00:42:18,160 --> 00:42:22,240 Speaker 1: mean the whole story of how you know, women's rights 794 00:42:22,239 --> 00:42:27,520 Speaker 1: and reproductive rights was politicized. I mean people forget that. 795 00:42:27,760 --> 00:42:31,120 Speaker 1: You know, when Jimmy Carter and Gerald Ford were running 796 00:42:31,160 --> 00:42:35,200 Speaker 1: against each other for president in ninety six, you know, 797 00:42:35,360 --> 00:42:39,000 Speaker 1: Gerald Ford was the pro choice candidate, and and you 798 00:42:39,040 --> 00:42:42,719 Speaker 1: know Carter was personally opposed to abortion, and so you know, 799 00:42:43,280 --> 00:42:45,920 Speaker 1: this had been a very strong bipartisan issue and it 800 00:42:46,040 --> 00:42:50,080 Speaker 1: still was. But the decision by the Republican Party to 801 00:42:50,480 --> 00:42:54,560 Speaker 1: politicize the issue of abortion rights and push back against 802 00:42:54,640 --> 00:42:58,040 Speaker 1: the e r A began, you know, with President Reagan 803 00:42:58,160 --> 00:43:00,719 Speaker 1: to be turning the tide. And one of the things 804 00:43:00,719 --> 00:43:04,120 Speaker 1: just to go back to the you know, ballot initiatives 805 00:43:04,160 --> 00:43:07,200 Speaker 1: that we've seen since the Job's case, but they make clear, 806 00:43:07,480 --> 00:43:09,520 Speaker 1: i mean, we know that the majority of the American 807 00:43:09,560 --> 00:43:14,320 Speaker 1: public supports abortion rights, and what these balot initiatives making clear, 808 00:43:14,880 --> 00:43:18,880 Speaker 1: states including you know, Kansas and Kentucky and Montana is 809 00:43:18,920 --> 00:43:21,839 Speaker 1: that when voters can vote on the policy preference, write 810 00:43:21,840 --> 00:43:24,560 Speaker 1: their policy preference, it's you know, we want to keep 811 00:43:24,800 --> 00:43:29,480 Speaker 1: our rights right. When it's confused with you know, candidate 812 00:43:29,520 --> 00:43:33,400 Speaker 1: preferences and party affiliations and so forth, because the issue 813 00:43:33,400 --> 00:43:35,480 Speaker 1: has been so politicized over the years, you know, you 814 00:43:35,520 --> 00:43:37,440 Speaker 1: see different outcomes in terms of who may be in 815 00:43:37,440 --> 00:43:42,120 Speaker 1: the legislatures, even though the policy preference of the voters 816 00:43:42,239 --> 00:43:44,799 Speaker 1: is give us. This is to us as a clean 817 00:43:44,840 --> 00:43:47,319 Speaker 1: policy issue, we want our rights. And I think that's 818 00:43:47,400 --> 00:43:51,600 Speaker 1: quite an interesting place to be right now. So let's 819 00:43:51,640 --> 00:43:54,319 Speaker 1: just talk for another second about the mid terms. It 820 00:43:54,480 --> 00:43:57,480 Speaker 1: seems like there's a lot of sort of Monday morning 821 00:43:57,560 --> 00:44:02,520 Speaker 1: quarterbacking saying that actually Dobbs really helped Democrats. Do you 822 00:44:02,560 --> 00:44:07,400 Speaker 1: think that's true. There is no question that abortion rights 823 00:44:08,320 --> 00:44:13,440 Speaker 1: was a resounding issue with Democratic voters and independence right. 824 00:44:13,560 --> 00:44:16,319 Speaker 1: It was a really, really important issue. And I know 825 00:44:16,400 --> 00:44:18,880 Speaker 1: it was frustrating to you because you were clear about 826 00:44:18,920 --> 00:44:22,480 Speaker 1: it leading into the elections, and it was certainly you know, 827 00:44:22,520 --> 00:44:25,799 Speaker 1: we don't get involved in electoral politics. We're a nonprofit 828 00:44:25,880 --> 00:44:28,560 Speaker 1: organization that works on this from a policy and human 829 00:44:28,680 --> 00:44:32,239 Speaker 1: rights perspective. But it was certainly frustrating to me as 830 00:44:32,280 --> 00:44:35,799 Speaker 1: somebody who knew how important this issue is and how 831 00:44:35,840 --> 00:44:39,400 Speaker 1: it resonates with the American public. To hear like Dobbs, 832 00:44:39,440 --> 00:44:43,719 Speaker 1: you know, was nobody really cares? That was amazing exactly, 833 00:44:43,920 --> 00:44:46,799 Speaker 1: And certainly the voters came back and said, heck, yeah 834 00:44:47,080 --> 00:44:50,919 Speaker 1: we care. So I think it's really really important. And 835 00:44:50,960 --> 00:44:54,799 Speaker 1: again I was in Michigan the night of the election 836 00:44:55,080 --> 00:44:58,320 Speaker 1: because of the ballot initiative there, and but we saw 837 00:44:58,520 --> 00:45:03,759 Speaker 1: in Michigan right reversal of the majority in the Democrats 838 00:45:03,800 --> 00:45:07,200 Speaker 1: took the the Senate and the House in Michigan. Of 839 00:45:07,239 --> 00:45:11,279 Speaker 1: course the statewide offices um were won by the Democrats, 840 00:45:11,360 --> 00:45:14,000 Speaker 1: and you know that was huge. And I'm sure the 841 00:45:14,080 --> 00:45:17,040 Speaker 1: fact that the voting on the policy preference for abortion rights, 842 00:45:17,080 --> 00:45:20,480 Speaker 1: which was on the ballot, you know, made a big difference. 843 00:45:20,800 --> 00:45:23,680 Speaker 1: And then just to you know, conquetize what it means 844 00:45:23,719 --> 00:45:28,480 Speaker 1: for you know people, I was with our longtime client, 845 00:45:28,600 --> 00:45:32,880 Speaker 1: Renee Chilean, who runs three clinics in Michigan, the Northland 846 00:45:32,920 --> 00:45:36,720 Speaker 1: Family Planning Centers, and you know, we all had tears 847 00:45:36,760 --> 00:45:39,680 Speaker 1: in our eyes when the ballot initiative passed amending the 848 00:45:39,719 --> 00:45:45,200 Speaker 1: Constitution because we have represented Renee for thirty years in 849 00:45:45,239 --> 00:45:49,759 Speaker 1: ten cases in Michigan, fighting against the restrictions upon restrictions 850 00:45:49,800 --> 00:45:52,560 Speaker 1: upon restrictions, and all of a sudden, now the words 851 00:45:52,640 --> 00:45:56,800 Speaker 1: reproductive freedom are in the language of the Michigan Constitution, 852 00:45:57,520 --> 00:46:02,279 Speaker 1: and it is really clear how strongly it is going 853 00:46:02,320 --> 00:46:05,319 Speaker 1: to protect that right because the only thing that can 854 00:46:05,360 --> 00:46:09,439 Speaker 1: be considered in legislation is the woman or pregnant person's health, 855 00:46:09,719 --> 00:46:13,000 Speaker 1: not these other concerns that the Supreme Court had allowed 856 00:46:13,000 --> 00:46:17,359 Speaker 1: it its jurisprudence to allow restriction upon restriction, and that's 857 00:46:17,400 --> 00:46:20,320 Speaker 1: a big difference. I mean, those tears were in Renee's 858 00:46:20,360 --> 00:46:25,120 Speaker 1: eyes because it means that she can provide the healthcare 859 00:46:25,760 --> 00:46:29,799 Speaker 1: free of these restrictions going forward. Obviously we stell have 860 00:46:29,840 --> 00:46:33,480 Speaker 1: to implement the provisions in the Michigan you know, constitution, 861 00:46:33,560 --> 00:46:36,239 Speaker 1: but with the legislative change, that really should be a 862 00:46:36,360 --> 00:46:38,480 Speaker 1: path forward. I just want to get back to the 863 00:46:38,480 --> 00:46:41,120 Speaker 1: Stabs decision for a minute. Trump had said he was 864 00:46:41,160 --> 00:46:45,080 Speaker 1: putting these three Supreme Court justices on the court to 865 00:46:45,400 --> 00:46:48,960 Speaker 1: overturn Row. We almost sort of saw this coming. But 866 00:46:49,080 --> 00:46:52,799 Speaker 1: when the case, when the Job's case was argued, were 867 00:46:52,920 --> 00:46:57,400 Speaker 1: you surprised at just how zealotous. They were. Yeah. So 868 00:46:57,560 --> 00:47:01,040 Speaker 1: December one last year, when Julie Recommen and our litigation 869 00:47:01,040 --> 00:47:05,320 Speaker 1: director argued the case, I was stunned by the questions 870 00:47:05,320 --> 00:47:07,799 Speaker 1: that were coming. I mean, we knew when they took 871 00:47:07,840 --> 00:47:10,560 Speaker 1: the case that the writing was on the wall, because 872 00:47:10,600 --> 00:47:13,160 Speaker 1: there was no reason to take a case that's so 873 00:47:13,280 --> 00:47:18,279 Speaker 1: clearly Mississippi's fifteen week band clearly violated O versus Wait 874 00:47:18,800 --> 00:47:22,480 Speaker 1: and even the ultra conservative US Court of Appeals for 875 00:47:22,640 --> 00:47:27,080 Speaker 1: Fifth Circuit had struck it down. So the law was blocked. 876 00:47:27,360 --> 00:47:30,319 Speaker 1: So the Supreme Court taking it meant that it was 877 00:47:31,120 --> 00:47:33,879 Speaker 1: of a mind to do something about that. And so 878 00:47:34,040 --> 00:47:37,840 Speaker 1: but the questions that came during the hearing, you know, 879 00:47:37,960 --> 00:47:42,479 Speaker 1: shouldn't we just be neutral? And what about the fact 880 00:47:42,560 --> 00:47:47,320 Speaker 1: that you can drop off your babies at firehouses? Doesn't 881 00:47:47,360 --> 00:47:52,640 Speaker 1: that alleviate the you know, the burden of parenthood. Yeah, 882 00:47:52,760 --> 00:47:56,600 Speaker 1: that was an incredible, incredible question. It was an incredible question. 883 00:47:56,680 --> 00:47:59,800 Speaker 1: So it was clear that the die was was cast 884 00:48:00,200 --> 00:48:03,560 Speaker 1: during that December one argument. So we were prepared for it, 885 00:48:03,600 --> 00:48:08,200 Speaker 1: although we still didn't know whether the court would uphold 886 00:48:08,200 --> 00:48:12,080 Speaker 1: the Mississippi ban, but say they weren't reversing row versus way, 887 00:48:12,760 --> 00:48:17,239 Speaker 1: which it wasn't an intellectually, you know, honest possibility, but 888 00:48:17,360 --> 00:48:21,280 Speaker 1: it was one that we were frankly concerned about because 889 00:48:21,440 --> 00:48:24,280 Speaker 1: the worst of all worlds as they actually overturned Roversus 890 00:48:24,360 --> 00:48:26,719 Speaker 1: way and the public doesn't realize it. Yeah, it's so 891 00:48:26,840 --> 00:48:30,120 Speaker 1: interesting because it's like, that's what John Roberts want exactly. 892 00:48:30,520 --> 00:48:32,920 Speaker 1: That was his opinion, which is, I'm going to uphold 893 00:48:33,000 --> 00:48:36,600 Speaker 1: the fifteen week ban, but I'm not reversing Roversus way. 894 00:48:36,640 --> 00:48:39,719 Speaker 1: And there's no way to do that because in all 895 00:48:39,800 --> 00:48:43,719 Speaker 1: the cases for fifty years from Row on, the Court 896 00:48:43,840 --> 00:48:49,840 Speaker 1: was clear that ultimately a state can't ban abortion pre viability, 897 00:48:49,960 --> 00:48:53,759 Speaker 1: and fifteen weeks is way before viability. So it was 898 00:48:53,880 --> 00:48:56,960 Speaker 1: over turning Row and there would have been no there 899 00:48:56,960 --> 00:48:59,560 Speaker 1: would have been no you know, guard rails. Everything would 900 00:48:59,560 --> 00:49:02,680 Speaker 1: have just build anyway. It would have been slightly slower, 901 00:49:02,719 --> 00:49:05,640 Speaker 1: but not too much slower because as you well know, 902 00:49:05,920 --> 00:49:09,799 Speaker 1: and uh, your listeners probably know, you know, Texas had 903 00:49:09,840 --> 00:49:12,680 Speaker 1: already banned abortion. In another case we argued in the 904 00:49:12,719 --> 00:49:17,600 Speaker 1: Supreme Court last year, spid Spight, after six weeks, Oklahoma 905 00:49:17,600 --> 00:49:20,799 Speaker 1: had banned abortion altogether because they took the vigilante law 906 00:49:20,800 --> 00:49:22,800 Speaker 1: of Texas at six weeks and they said, let's just 907 00:49:22,840 --> 00:49:26,840 Speaker 1: make a total band in Oklahoma. So you know, already 908 00:49:26,880 --> 00:49:28,200 Speaker 1: the writing was on the wall, but it would have 909 00:49:28,200 --> 00:49:31,120 Speaker 1: been more confusing, you know, for the voters. And I 910 00:49:31,160 --> 00:49:34,080 Speaker 1: think the fact that it's just what the Court's done 911 00:49:34,560 --> 00:49:37,480 Speaker 1: with Dobbs is clear. And I think it's also very 912 00:49:37,640 --> 00:49:44,160 Speaker 1: very important that we not let anyone forget how outrageous 913 00:49:44,200 --> 00:49:48,520 Speaker 1: and wrong the DBS decision is. And so people should 914 00:49:48,520 --> 00:49:51,160 Speaker 1: just walk around with the following things in their brain 915 00:49:51,280 --> 00:49:54,000 Speaker 1: at all times, which is that what the Jobs Court 916 00:49:54,040 --> 00:49:57,480 Speaker 1: said is if you didn't have rights in eighteen sixty eight, 917 00:49:58,000 --> 00:50:00,600 Speaker 1: you can't have them today. And the other thing is 918 00:50:00,640 --> 00:50:06,400 Speaker 1: that it completely erased women and pregnant people's experiences. The 919 00:50:06,480 --> 00:50:12,719 Speaker 1: decision mentions legislative bodies six times, it mentions women's bodies 920 00:50:13,280 --> 00:50:17,320 Speaker 1: zero times. So those are the two things. Everybody wherever 921 00:50:17,360 --> 00:50:20,360 Speaker 1: you go needs to talk about those two things because 922 00:50:20,520 --> 00:50:23,960 Speaker 1: it's absolutely outrageous. I just want to get back to 923 00:50:24,040 --> 00:50:26,680 Speaker 1: this idea for a minute. One of the reasons my 924 00:50:26,960 --> 00:50:31,200 Speaker 1: row was decided so unilaterally was because of the high 925 00:50:31,280 --> 00:50:33,960 Speaker 1: level of women who were dying a sceptive uterus is 926 00:50:34,719 --> 00:50:38,400 Speaker 1: and you know, the doctors who refused to treat miscarriages. 927 00:50:38,719 --> 00:50:43,120 Speaker 1: We're seeing that come back, right, Will you talk about that? Yes, 928 00:50:43,200 --> 00:50:45,960 Speaker 1: I would say where we're seeing it the most now 929 00:50:46,239 --> 00:50:50,840 Speaker 1: is women who are miscaring, so they are not getting 930 00:50:50,840 --> 00:50:54,719 Speaker 1: the standard of care in hospitals, which is to complete 931 00:50:54,719 --> 00:50:58,640 Speaker 1: a pregnancy termination if a miscarriage means that the pregnancy 932 00:50:58,760 --> 00:51:01,760 Speaker 1: is not viable and you do not want the patient 933 00:51:01,840 --> 00:51:05,400 Speaker 1: to go into the risk of you know, sepsis and 934 00:51:05,680 --> 00:51:09,880 Speaker 1: infection and dying. What's different from the pre row era, 935 00:51:10,200 --> 00:51:13,640 Speaker 1: which is what is making this entire post offs thing different, 936 00:51:14,280 --> 00:51:18,399 Speaker 1: is the availability of medication abortion right, so people are 937 00:51:18,440 --> 00:51:22,480 Speaker 1: not going to back alleys and having coat hanger abortions. 938 00:51:22,840 --> 00:51:28,080 Speaker 1: You know, you can selfly safely manage an abortion getting 939 00:51:28,239 --> 00:51:32,279 Speaker 1: from a reputable provider, pills on the internet, terminating a pregnancy, 940 00:51:32,360 --> 00:51:36,200 Speaker 1: and so it is actually masking how many people are 941 00:51:36,280 --> 00:51:40,640 Speaker 1: getting abortions in states where abortion is not legal, which 942 00:51:40,680 --> 00:51:45,239 Speaker 1: is great, it's hugely important, although no one should have 943 00:51:45,400 --> 00:51:48,719 Speaker 1: to be in this gray area of the law. If 944 00:51:48,760 --> 00:51:52,520 Speaker 1: you're a person accessing that care, and the people who 945 00:51:52,600 --> 00:51:56,440 Speaker 1: are helping someone you know, get that care can be 946 00:51:56,480 --> 00:51:58,520 Speaker 1: in the cross hears of the criminal laws in these 947 00:51:58,520 --> 00:52:01,360 Speaker 1: states and it's so partant for people to realize just 948 00:52:01,480 --> 00:52:04,920 Speaker 1: how draconian, you know, the criminal laws are right. And 949 00:52:04,960 --> 00:52:08,400 Speaker 1: I also think this idea that you know you have women, 950 00:52:08,440 --> 00:52:11,160 Speaker 1: I mean, we heard this. We've had people who run 951 00:52:11,160 --> 00:52:14,440 Speaker 1: abortion clinics on this podcast and they've talked about this 952 00:52:14,520 --> 00:52:16,839 Speaker 1: idea now that in a lot of these states where 953 00:52:16,840 --> 00:52:20,480 Speaker 1: they've banned abortion, they won't treat women who are having mischaracters. 954 00:52:20,480 --> 00:52:23,439 Speaker 1: So you really are you have women who desperately need 955 00:52:23,520 --> 00:52:27,040 Speaker 1: medical assistance who are not getting it because of something 956 00:52:27,080 --> 00:52:28,799 Speaker 1: that doesn't even have anything to do with that. That 957 00:52:28,960 --> 00:52:34,520 Speaker 1: is absolutely correct, and it is absolutely outrageous and unacceptable, 958 00:52:34,719 --> 00:52:37,839 Speaker 1: and it's and it puts the you know, it makes 959 00:52:37,960 --> 00:52:42,680 Speaker 1: the point about why you cannot use the criminal law 960 00:52:43,040 --> 00:52:47,080 Speaker 1: to regulate medical care in this way. You have to 961 00:52:47,160 --> 00:52:52,040 Speaker 1: be able to have providers and patients, whether they have 962 00:52:52,239 --> 00:52:55,359 Speaker 1: a pregnancy that they are looking to go to term 963 00:52:55,440 --> 00:52:58,439 Speaker 1: with or a pregnancy that they want to end, they 964 00:52:58,600 --> 00:53:03,120 Speaker 1: have to be able to provide standard of care. Pregnancy 965 00:53:03,239 --> 00:53:08,000 Speaker 1: is a high risk proposition. It is a normal process 966 00:53:08,080 --> 00:53:11,279 Speaker 1: of life, but it can also be life threatening. And 967 00:53:11,560 --> 00:53:15,760 Speaker 1: politicians and the criminal law, you know Texas, they're enforcing 968 00:53:15,760 --> 00:53:18,480 Speaker 1: a you know, ninety nine year pre rod band in 969 00:53:18,520 --> 00:53:22,080 Speaker 1: the state of Texas. That cannot be hanging over the 970 00:53:22,200 --> 00:53:25,800 Speaker 1: head of a healthcare provider when they are trying to 971 00:53:25,840 --> 00:53:28,919 Speaker 1: give their patients the best care. Nancy, thank you so much. 972 00:53:29,000 --> 00:53:31,400 Speaker 1: I hope you will come back absolutely, thank you for 973 00:53:31,480 --> 00:53:34,120 Speaker 1: keeping on the issue. Thank you great, Thanks so much, 974 00:53:38,760 --> 00:53:43,919 Speaker 1: Molly John Fast Jesse Cannon. When Kevin McCarthy is not 975 00:53:44,040 --> 00:53:47,320 Speaker 1: having to pretend he doesn't know what Donald Trump says, 976 00:53:47,719 --> 00:53:53,680 Speaker 1: comes up with great policy ideas, really truly chefs. Kevin 977 00:53:53,760 --> 00:53:56,920 Speaker 1: McCarthy is not yet speaker, but he's hoping to be. 978 00:53:57,480 --> 00:54:01,680 Speaker 1: One of the things that Kevin McCarthy is doing is, uh, 979 00:54:02,080 --> 00:54:05,719 Speaker 1: how do you say this in ways that are not curses? Oh? Wait, 980 00:54:05,760 --> 00:54:11,480 Speaker 1: we can He's Marjorie Taylor Green's I want to say consigulatory, 981 00:54:11,680 --> 00:54:19,280 Speaker 1: consiguliary lap lapdog bitch. Anyway, Kevin McCarthy is doing everything 982 00:54:19,360 --> 00:54:22,200 Speaker 1: he can to try to make the maga's vote for him. 983 00:54:22,520 --> 00:54:25,880 Speaker 1: One of the things he's decided that he thinks will 984 00:54:25,880 --> 00:54:29,759 Speaker 1: serve him is he's going to defund the military. Yes, 985 00:54:30,160 --> 00:54:33,640 Speaker 1: Kevin McCarthy, or he's called by Trump myke Kevin is 986 00:54:33,680 --> 00:54:38,400 Speaker 1: threatening to defund the military if the vaccine mandate is 987 00:54:38,440 --> 00:54:41,760 Speaker 1: not lifted to fund the police. Wasn't a dog, hey man, 988 00:54:42,120 --> 00:54:47,520 Speaker 1: don't threaten me with a good time. This is a 989 00:54:47,560 --> 00:54:50,200 Speaker 1: great message for them. This is really, really is good. 990 00:54:50,200 --> 00:54:54,840 Speaker 1: Stuffy defund the military, Okay, So Kevin McCarthy feels it 991 00:54:54,920 --> 00:54:58,320 Speaker 1: very unfair that members of the military should be vaccinated 992 00:54:58,360 --> 00:55:02,479 Speaker 1: against COVID. Members the military are vaccinated against many, many, 993 00:55:02,520 --> 00:55:06,920 Speaker 1: many viruses and diseases that people in America aren't because 994 00:55:06,960 --> 00:55:10,640 Speaker 1: of the many exotic places they go. So Kevin McCarthy 995 00:55:10,800 --> 00:55:14,839 Speaker 1: is making this COVID exception is really silly because these 996 00:55:14,880 --> 00:55:18,319 Speaker 1: people are getting vaccinated for things that are much less 997 00:55:18,320 --> 00:55:22,120 Speaker 1: occurring than COVID. But Kevin McCarthy wants to take a 998 00:55:22,160 --> 00:55:25,759 Speaker 1: stand against vaccines. And remember anti vaxers are a rich 999 00:55:25,880 --> 00:55:29,640 Speaker 1: and full part of the Republican Party. And uh so, 1000 00:55:29,719 --> 00:55:36,360 Speaker 1: Kevin McCarthy has decided he will defund the military unless 1001 00:55:36,840 --> 00:55:41,600 Speaker 1: Joe Biden removes the vaccine requirement for military servicemen. And 1002 00:55:41,719 --> 00:55:44,840 Speaker 1: let's remember who's the queen of the anti vaxers in 1003 00:55:44,880 --> 00:55:48,319 Speaker 1: the Republican Party as more proof of that. That's who 1004 00:55:48,360 --> 00:55:53,600 Speaker 1: actually runs the party, Marjorie Taylor Green, And that is 1005 00:55:53,640 --> 00:55:58,120 Speaker 1: our moment of gray. That's it for this episode of 1006 00:55:58,160 --> 00:56:01,640 Speaker 1: Fast Politics. Tune in at every Monday, Wednesday, and Friday 1007 00:56:01,880 --> 00:56:04,480 Speaker 1: to your the best minds in politics makes sense of 1008 00:56:04,560 --> 00:56:08,120 Speaker 1: all this chaos. If you enjoyed what you've heard, please 1009 00:56:08,200 --> 00:56:10,680 Speaker 1: send it to a friend and keep the conversation going. 1010 00:56:11,080 --> 00:56:16,520 Speaker 1: And again, thanks for listening. H