1 00:00:00,680 --> 00:00:04,200 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,440 --> 00:00:07,200 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,240 --> 00:00:11,760 Speaker 1: today's best minds. And Donald Trump won't rule out banning 4 00:00:11,960 --> 00:00:15,840 Speaker 1: vaccines if he becomes president. We have a great show 5 00:00:15,920 --> 00:00:19,480 Speaker 1: for you today, the Lincoln Project. Zonne Rick Wilson breaks 6 00:00:19,560 --> 00:00:23,720 Speaker 1: down the Des Moines Register seltzer ple and what it 7 00:00:23,800 --> 00:00:27,600 Speaker 1: tells us about the vice president's chances of becoming our 8 00:00:27,640 --> 00:00:28,360 Speaker 1: next president. 9 00:00:28,600 --> 00:00:31,040 Speaker 2: Then we'll talk to Emily's. 10 00:00:30,480 --> 00:00:37,920 Speaker 1: List Jessica Meckler about how she sees reproductive rights affecting 11 00:00:37,960 --> 00:00:38,559 Speaker 1: this election. 12 00:00:38,840 --> 00:00:40,240 Speaker 2: But first the news. 13 00:00:40,880 --> 00:00:44,839 Speaker 3: So, Molly, we are in the final unraveling of Trump 14 00:00:44,840 --> 00:00:48,760 Speaker 3: on this campaign trail. He's talking about that if you 15 00:00:48,960 --> 00:00:51,839 Speaker 3: shoot the press, he doesn't care. He said he shouldn't 16 00:00:51,840 --> 00:00:54,000 Speaker 3: have left the White House after the twenty twenty election. 17 00:00:54,280 --> 00:00:56,720 Speaker 4: What are you seeing here? Because what I'm seeing I 18 00:00:56,800 --> 00:00:57,240 Speaker 4: don't like. 19 00:00:58,040 --> 00:01:03,640 Speaker 1: It's a whole cavalcade of crazy. We have Donald Trump 20 00:01:04,360 --> 00:01:10,560 Speaker 1: bragging about how many filled seats there are in his rally. Wow, 21 00:01:10,959 --> 00:01:16,440 Speaker 1: the camera is panning to half empty seats. We have 22 00:01:16,959 --> 00:01:20,160 Speaker 1: Donald Trump saying that they should take away the licensing 23 00:01:20,280 --> 00:01:25,480 Speaker 1: for CBS. We have Donald Trump talking about how he 24 00:01:25,520 --> 00:01:28,640 Speaker 1: would be fine if people want to shoot through the 25 00:01:28,720 --> 00:01:31,360 Speaker 1: journal as a journalist, we don't like that too much. 26 00:01:31,840 --> 00:01:35,080 Speaker 1: Then we have Donald Trump. I just want to mention 27 00:01:35,160 --> 00:01:37,960 Speaker 1: this again for the few people who haven't seen it. 28 00:01:38,520 --> 00:01:44,200 Speaker 1: Donald Trump pretended to filate a microphone. That was something 29 00:01:44,240 --> 00:01:46,920 Speaker 1: that I will probably an image I will never be 30 00:01:46,959 --> 00:01:48,200 Speaker 1: able to get out of my head. 31 00:01:48,520 --> 00:01:49,920 Speaker 2: And then Donald. 32 00:01:49,640 --> 00:01:55,320 Speaker 1: Trump's people, the people around him, his other speakers have 33 00:01:55,520 --> 00:01:58,040 Speaker 1: also been an incredible disaster. 34 00:01:58,800 --> 00:02:03,640 Speaker 2: We have her Walker who said it stops on Tuesday 35 00:02:03,680 --> 00:02:04,040 Speaker 2: when we. 36 00:02:04,080 --> 00:02:07,320 Speaker 1: Vote for my friend and your friend Donald Trump Junior, 37 00:02:08,080 --> 00:02:10,480 Speaker 1: Donald Trump, Donald J. 38 00:02:10,880 --> 00:02:11,320 Speaker 2: Trump. 39 00:02:13,520 --> 00:02:16,959 Speaker 3: My favorite was what RFK said that he's going to 40 00:02:17,040 --> 00:02:19,080 Speaker 3: take the flour eye out of the water and created 41 00:02:19,120 --> 00:02:19,959 Speaker 3: that conversation. 42 00:02:20,120 --> 00:02:23,880 Speaker 1: Uplied, Yes, RFK Junior is also going to take the 43 00:02:23,919 --> 00:02:25,520 Speaker 1: floor out of the water so we can all have 44 00:02:25,600 --> 00:02:29,680 Speaker 1: cavities again. But Marco Rubio wants everyone to know and 45 00:02:29,760 --> 00:02:31,200 Speaker 1: I'm sorry, I don't know. 46 00:02:31,680 --> 00:02:34,200 Speaker 2: Who is thinking this, but this is just amazing. 47 00:02:34,480 --> 00:02:37,960 Speaker 1: Marco Rubio, who is Cuban, tells the crowded Trump's rallies. 48 00:02:38,280 --> 00:02:40,840 Speaker 1: I want to make clear that Mark Cuban is not Cuban. 49 00:02:41,639 --> 00:02:43,440 Speaker 1: I don't know how he got that name. He's not 50 00:02:43,480 --> 00:02:44,840 Speaker 1: Cuban all right. 51 00:02:45,840 --> 00:02:47,840 Speaker 3: I think this goes to that thing of what Josh 52 00:02:47,840 --> 00:02:50,120 Speaker 3: Marshall said on a previous episode of our podcast that 53 00:02:50,200 --> 00:02:52,760 Speaker 3: this is what happens when your four chan is doing 54 00:02:52,800 --> 00:02:55,000 Speaker 3: the forwarding of your rallies like kids who grew up 55 00:02:55,040 --> 00:02:55,520 Speaker 3: on four chan. 56 00:02:55,919 --> 00:02:57,560 Speaker 2: Yeah, it's pretty bleak. 57 00:02:58,160 --> 00:03:01,840 Speaker 1: I mean it's we're The next time we come to you, 58 00:03:02,840 --> 00:03:06,919 Speaker 1: it will be us trying to fill a buster because 59 00:03:06,960 --> 00:03:08,400 Speaker 1: we don't know the results of the election. 60 00:03:08,960 --> 00:03:10,880 Speaker 3: We do have a little bit more polling though, that 61 00:03:10,880 --> 00:03:12,960 Speaker 3: we could share with people some last minute polls that 62 00:03:12,960 --> 00:03:14,720 Speaker 3: they may not have heard because they were doing better 63 00:03:14,760 --> 00:03:16,720 Speaker 3: things on their Sunday than what you and I were doing. 64 00:03:17,120 --> 00:03:19,280 Speaker 1: They're not extreme for those of you who are not 65 00:03:19,320 --> 00:03:23,080 Speaker 1: extremely online. We have a general election New York Times poll, 66 00:03:23,440 --> 00:03:26,440 Speaker 1: General election New York Times North Carolina poll, and it 67 00:03:26,480 --> 00:03:31,160 Speaker 1: shows Harris up to over Trump, and that would track 68 00:03:31,280 --> 00:03:33,840 Speaker 1: from what we've seen because Donald Trump has been in 69 00:03:33,880 --> 00:03:38,560 Speaker 1: North Carolina twice or three times this weekend, and if 70 00:03:38,560 --> 00:03:41,520 Speaker 1: Donald Trump loses North Carolina that'll be really tough for him. 71 00:03:41,600 --> 00:03:45,680 Speaker 1: That's an A plus poll of a thousand and ten 72 00:03:45,840 --> 00:03:47,000 Speaker 1: likely voters. 73 00:03:46,760 --> 00:03:49,920 Speaker 3: And the last poll had him up by two right. 74 00:03:49,800 --> 00:03:52,240 Speaker 1: So that will be a that's a four point movement 75 00:03:52,320 --> 00:03:55,560 Speaker 1: towards Harris, which is something to think about. And then 76 00:03:55,720 --> 00:03:59,360 Speaker 1: a final NBC News poll, the last poll of twenty 77 00:03:59,440 --> 00:04:03,320 Speaker 1: twenty four presidential campaign shows that Trump is only earning 78 00:04:03,480 --> 00:04:07,960 Speaker 1: nine percent of black support. That's lower than he the 79 00:04:08,040 --> 00:04:11,480 Speaker 1: twelve percent he received during the twenty twenty presidential election 80 00:04:12,040 --> 00:04:14,600 Speaker 1: when he ran against Joe Biden. Now, I just want 81 00:04:14,640 --> 00:04:18,599 Speaker 1: to point out that we have had so many fucking 82 00:04:18,880 --> 00:04:22,760 Speaker 1: articles about how Donald Trump is peeling away the black 83 00:04:22,839 --> 00:04:28,200 Speaker 1: vote and how he selling sneakers was going to get 84 00:04:28,240 --> 00:04:31,480 Speaker 1: black voters. So again, we don't know what the final 85 00:04:31,560 --> 00:04:34,440 Speaker 1: numbers look like, but I just want to point out 86 00:04:34,560 --> 00:04:38,680 Speaker 1: that if he's doing three points less well than he 87 00:04:38,920 --> 00:04:42,560 Speaker 1: was with Joe Biden, it means that the sneakers. 88 00:04:42,200 --> 00:04:43,040 Speaker 2: Did not work. 89 00:04:43,839 --> 00:04:48,159 Speaker 3: Yeah, so, Molly. Our last subject for our headlines is 90 00:04:48,200 --> 00:04:50,320 Speaker 3: a not so fun one, which is that The Daily 91 00:04:50,320 --> 00:04:54,719 Speaker 3: Beast has released more tapes of Jeffrey Epstein, which I 92 00:04:54,800 --> 00:04:58,320 Speaker 3: have heard a lot, and he really really talks about 93 00:04:58,320 --> 00:05:01,839 Speaker 3: how good friends him and Trump were and calls him 94 00:05:01,960 --> 00:05:05,200 Speaker 3: one of his closest friends for ten years. And there's 95 00:05:05,279 --> 00:05:07,320 Speaker 3: also there's a lot. 96 00:05:07,080 --> 00:05:09,440 Speaker 2: In there and what really struck out to you. 97 00:05:10,400 --> 00:05:10,760 Speaker 1: It was. 98 00:05:12,560 --> 00:05:20,280 Speaker 3: Remarkable, remarkable how intimate details he knew about Trump in 99 00:05:20,320 --> 00:05:23,520 Speaker 3: his life, which really showed how close a friends they were. 100 00:05:23,560 --> 00:05:27,320 Speaker 3: That was not the type of stuff that somebody you 101 00:05:27,440 --> 00:05:30,839 Speaker 3: occasionally see at a party knows about you. So just 102 00:05:30,839 --> 00:05:32,800 Speaker 3: a lot of stories of them hanging out together. 103 00:05:33,000 --> 00:05:38,880 Speaker 1: So I mean, again, I'm sure that there is certainly 104 00:05:39,320 --> 00:05:42,960 Speaker 1: some that they had some kind of relationship. And you'll 105 00:05:43,000 --> 00:05:48,039 Speaker 1: remember that a lot of these Trump supporters are obsessed 106 00:05:48,120 --> 00:05:52,720 Speaker 1: with pedophilia and child sexual abuse, and here is a 107 00:05:52,760 --> 00:05:57,680 Speaker 1: guy who legitimately ran a child sexual abuse ring who 108 00:05:57,720 --> 00:06:00,359 Speaker 1: was talking about being friends with Trump. Unfortunately, all of 109 00:06:00,400 --> 00:06:03,760 Speaker 1: us information has come out way too late in the 110 00:06:03,880 --> 00:06:07,760 Speaker 1: cycle to affect the vote, which is sort of interesting 111 00:06:07,960 --> 00:06:10,000 Speaker 1: that these tapes get released. 112 00:06:09,600 --> 00:06:11,320 Speaker 2: Like two three days before an election. 113 00:06:11,680 --> 00:06:14,960 Speaker 1: But they certainly are out there, though I'm not seeing 114 00:06:15,000 --> 00:06:16,400 Speaker 1: them get a ton of pick up. 115 00:06:16,920 --> 00:06:19,400 Speaker 3: Seems like it's getting a lot of pickup online, but 116 00:06:19,480 --> 00:06:21,800 Speaker 3: the mainstream media has not picked it up quite yet. 117 00:06:21,880 --> 00:06:24,440 Speaker 3: I also would say that the lawyers for mainstream media, 118 00:06:24,600 --> 00:06:26,320 Speaker 3: let's don't usually work on the weekends. 119 00:06:26,320 --> 00:06:32,320 Speaker 1: So Rick Wilson is the founder of the Lincoln Project 120 00:06:32,320 --> 00:06:35,760 Speaker 1: in the host of the Enemy's list, Welcome back too 121 00:06:35,880 --> 00:06:37,279 Speaker 1: Fast Politics. 122 00:06:37,560 --> 00:06:40,680 Speaker 2: It's Sunday. You will listen to this on Monday. 123 00:06:40,400 --> 00:06:44,159 Speaker 1: The day before the twenty twenty four election. We have 124 00:06:44,520 --> 00:06:48,160 Speaker 1: the one, the only Rick Wilson here. Rick Wilson, what 125 00:06:48,360 --> 00:06:49,200 Speaker 1: are the vibes. 126 00:06:49,720 --> 00:06:53,960 Speaker 5: The vibes are that Maga world is in a horrible 127 00:06:54,480 --> 00:06:57,320 Speaker 5: teeth grinding, girning shit show. 128 00:06:57,480 --> 00:06:57,920 Speaker 4: Panic. 129 00:06:58,160 --> 00:07:01,640 Speaker 5: These are like people who suddenly see the entire structure 130 00:07:01,680 --> 00:07:04,280 Speaker 5: they've built up to bullshit themselves not working on other 131 00:07:04,320 --> 00:07:05,080 Speaker 5: people anymore. 132 00:07:05,360 --> 00:07:09,159 Speaker 1: Is it Seltzer Sunday? Let's talk about a Seltzer. 133 00:07:09,360 --> 00:07:12,360 Speaker 5: It is an Seltzer Sunday. And Seltzer is probably one 134 00:07:12,360 --> 00:07:14,600 Speaker 5: of the best polsters in this country. And you know, 135 00:07:14,680 --> 00:07:17,680 Speaker 5: guys like me who've been around the block in Iowa 136 00:07:17,680 --> 00:07:19,880 Speaker 5: a couple of times over the decades, you looked at 137 00:07:19,960 --> 00:07:22,760 Speaker 5: the Seltzer pole as the most accurate and clean poll 138 00:07:22,960 --> 00:07:27,400 Speaker 5: in Iowa. She still uses a lot of old school methodology. 139 00:07:27,480 --> 00:07:29,280 Speaker 5: She doesn't go in and put her thumb on the 140 00:07:29,320 --> 00:07:32,040 Speaker 5: scale ahead of time to wait the survey to get 141 00:07:32,040 --> 00:07:35,640 Speaker 5: the results she wants. It's very straightforward. And so the 142 00:07:35,720 --> 00:07:38,840 Speaker 5: fact that you have an Seltzer coming out on Friday 143 00:07:38,920 --> 00:07:41,120 Speaker 5: night on a Saturday Night, excuse. 144 00:07:40,760 --> 00:07:43,560 Speaker 2: Me, seven pm EST, Baby. 145 00:07:43,560 --> 00:07:44,480 Speaker 4: Seven pm Eest. 146 00:07:45,040 --> 00:07:47,760 Speaker 5: Forty seven to forty four among likely voters in the 147 00:07:47,800 --> 00:07:49,800 Speaker 5: Great State of Iowa. 148 00:07:49,160 --> 00:07:52,040 Speaker 4: With Harris in the lead, Harris ahead. 149 00:07:52,160 --> 00:07:56,840 Speaker 1: Folks explain to our listeners how a Seltzer pole translates 150 00:07:56,880 --> 00:07:57,640 Speaker 1: to other states. 151 00:07:57,720 --> 00:08:01,920 Speaker 5: Okay, there are a lot of similarities between Iowa and 152 00:08:02,120 --> 00:08:08,720 Speaker 5: places like Minnesota, Michigan, Wisconsin, even Ohio has some demographic parallels. Now, look, 153 00:08:08,800 --> 00:08:09,960 Speaker 5: do I think we're going to win Ohio? 154 00:08:10,000 --> 00:08:10,040 Speaker 6: No? 155 00:08:10,480 --> 00:08:11,760 Speaker 5: But do I think Ohio is going to be a 156 00:08:11,760 --> 00:08:14,560 Speaker 5: lot closer than people think. And what's really interesting under 157 00:08:14,560 --> 00:08:17,000 Speaker 5: the hood of the Selleser poll, Not only is the 158 00:08:17,040 --> 00:08:19,200 Speaker 5: head to head really important to look at, but what's 159 00:08:19,280 --> 00:08:23,560 Speaker 5: under the hood is that she's doing better with seniors 160 00:08:23,880 --> 00:08:28,160 Speaker 5: than Biden did in twenty twenty. She's doing much better 161 00:08:28,560 --> 00:08:33,199 Speaker 5: with young voters, she's doing much better with college educated voters. 162 00:08:33,360 --> 00:08:37,319 Speaker 5: And all these numbers underneath it are showing a degree 163 00:08:37,360 --> 00:08:40,520 Speaker 5: of enthusiasm for her that I think is really telling, 164 00:08:40,840 --> 00:08:43,800 Speaker 5: and it is really important the voters that she's going 165 00:08:43,840 --> 00:08:45,640 Speaker 5: to be able to pull in a state like Iowa, 166 00:08:45,760 --> 00:08:48,520 Speaker 5: if it's even close in a state like Iowa, it's 167 00:08:48,559 --> 00:08:51,760 Speaker 5: going to mean very bad things for Donald Trump across 168 00:08:51,840 --> 00:08:54,640 Speaker 5: the country on election day. Iowa should be a safe 169 00:08:54,679 --> 00:08:58,480 Speaker 5: red state. We know that the campaign is losing its mind. 170 00:08:58,720 --> 00:09:01,800 Speaker 5: Fat Tony the polster put out a memo last night 171 00:09:01,880 --> 00:09:03,840 Speaker 5: trying to blow up the Salzer poll. I can just 172 00:09:03,920 --> 00:09:06,600 Speaker 5: tell you, at no point in the history of any 173 00:09:06,760 --> 00:09:10,559 Speaker 5: time ever in America has anyone said, hmm, Tony the 174 00:09:10,600 --> 00:09:13,960 Speaker 5: pollster is more reliable than Ann Selzer. Never happened with 175 00:09:14,080 --> 00:09:16,320 Speaker 5: any human being. And the other part of this that's 176 00:09:16,320 --> 00:09:18,920 Speaker 5: going on here is that you're seeing that women are 177 00:09:18,960 --> 00:09:22,720 Speaker 5: comprising a large sector of the likely electorate, a larger 178 00:09:22,720 --> 00:09:25,560 Speaker 5: than usual sector of the likely electorate. If that's the case, 179 00:09:26,000 --> 00:09:29,840 Speaker 5: Donald Trump is going to get blown out. And again, 180 00:09:29,880 --> 00:09:31,400 Speaker 5: I keep going back to this. You know me, I 181 00:09:31,440 --> 00:09:34,760 Speaker 5: am not like a stupidly optimistic guy. I am pretty 182 00:09:34,840 --> 00:09:36,800 Speaker 5: worn down and hardened by all this crap. 183 00:09:36,880 --> 00:09:39,040 Speaker 2: It's one of your best qualities. 184 00:09:38,720 --> 00:09:41,559 Speaker 5: For the last thirty years of doing this. But these 185 00:09:41,679 --> 00:09:46,640 Speaker 5: numbers across all these surveys are not showing a Trump victory. 186 00:09:46,920 --> 00:09:49,400 Speaker 5: If there is something like that that's out there that 187 00:09:49,440 --> 00:09:52,400 Speaker 5: we're not seeing, nobody else in the world is seeing 188 00:09:52,400 --> 00:09:55,200 Speaker 5: it either. I think a lot of these pollsters have 189 00:09:55,800 --> 00:09:58,000 Speaker 5: ended up putting their thumb on the scale because they 190 00:09:58,040 --> 00:10:01,400 Speaker 5: still have PTSD about twenty sixteen. They are terrified to 191 00:10:01,480 --> 00:10:05,280 Speaker 5: show Trump behind because if he comes from behind, then wins. Somehow, 192 00:10:05,280 --> 00:10:07,960 Speaker 5: they're going to be embarrassed. But these numbers are not 193 00:10:08,120 --> 00:10:11,560 Speaker 5: holding up the big factors. More women voting, a huge 194 00:10:11,559 --> 00:10:15,040 Speaker 5: influx of younger women voters, women voters under the age 195 00:10:15,040 --> 00:10:18,320 Speaker 5: of thirty. They're not here because they're worried about trade policy. 196 00:10:18,400 --> 00:10:20,920 Speaker 5: They're here because they're worried about climate change. They're here 197 00:10:20,920 --> 00:10:22,440 Speaker 5: because the Dobbs decision. 198 00:10:22,720 --> 00:10:25,320 Speaker 1: Yeah, I want to go back to Saltzer for a minute. 199 00:10:25,360 --> 00:10:29,440 Speaker 1: So the way it works is Democrats are supposed to 200 00:10:29,640 --> 00:10:33,000 Speaker 1: lose Iowa. Right, That's how it lot by a lot. 201 00:10:33,120 --> 00:10:36,680 Speaker 1: So here's how you interpret it. Trump at eleven plus 202 00:10:36,679 --> 00:10:39,520 Speaker 1: eleven or higher, that would be a Trump blowout. Trump 203 00:10:39,640 --> 00:10:43,160 Speaker 1: nine to ten plus is good. Seven to nine means 204 00:10:43,160 --> 00:10:47,040 Speaker 1: a close election. Right, Trump up five to six in 205 00:10:47,120 --> 00:10:51,760 Speaker 1: Iowa is good for Harris. Trump plus four or lower 206 00:10:52,120 --> 00:10:56,040 Speaker 1: means a Harris blowout. We have Trump at negative three. 207 00:10:56,240 --> 00:10:59,000 Speaker 5: Yeah, if that ends up being the case, if we 208 00:10:59,280 --> 00:11:02,880 Speaker 5: end up seeing Iowa turned into a route on Trump, 209 00:11:02,920 --> 00:11:04,960 Speaker 5: it is going to be a very tough night for 210 00:11:05,040 --> 00:11:09,800 Speaker 5: Donald because increasingly our numbers, we are increasingly confident about 211 00:11:09,800 --> 00:11:13,240 Speaker 5: Michigan and Wisconsin, Pennsylvania. Just this morning, I was getting 212 00:11:13,280 --> 00:11:16,360 Speaker 5: briefed on a lot of the field activity in Pennsylvania. 213 00:11:16,440 --> 00:11:19,120 Speaker 5: We've got our own teams up there as well, doing 214 00:11:19,120 --> 00:11:21,560 Speaker 5: work on the ground. We've got some of our people 215 00:11:21,640 --> 00:11:24,560 Speaker 5: up in Pennsylvania right now. And we had one of 216 00:11:24,600 --> 00:11:27,880 Speaker 5: our our guys go and actually worked doors yesterday and 217 00:11:27,960 --> 00:11:32,040 Speaker 5: this morning and in Trump areas, marginal areas. And he 218 00:11:32,600 --> 00:11:36,120 Speaker 5: reported back after eighty doors over two days that his 219 00:11:36,280 --> 00:11:39,920 Speaker 5: strongest takeaway was Democrats are hyped over the moon. Trump 220 00:11:40,040 --> 00:11:42,800 Speaker 5: voters are angry, but a lot of people who should 221 00:11:42,840 --> 00:11:44,719 Speaker 5: be Trump voters, like I'm staying home. I don't want 222 00:11:44,720 --> 00:11:46,319 Speaker 5: to vote for her, but I can't deal with him 223 00:11:46,320 --> 00:11:50,240 Speaker 5: anymore either. I'll take it okay if we end up 224 00:11:50,280 --> 00:11:52,319 Speaker 5: with the Blue Wall. And as you can see, Trump 225 00:11:52,360 --> 00:11:55,160 Speaker 5: is playing hard defense right now in North Carolina. He 226 00:11:55,640 --> 00:11:57,680 Speaker 5: is spending the majority of his time in North Carolina. 227 00:11:58,040 --> 00:12:00,920 Speaker 5: There was some discussion inside Trump World last night. 228 00:12:00,960 --> 00:12:03,679 Speaker 2: Because they can't afford to lose North Carolina. 229 00:12:03,800 --> 00:12:06,440 Speaker 5: No, if you lose North Carolina and Iowa and the 230 00:12:06,440 --> 00:12:08,320 Speaker 5: Blue Wall. That's it, We're done. 231 00:12:08,440 --> 00:12:10,240 Speaker 2: Nobody thinks let's just read for it. 232 00:12:10,520 --> 00:12:13,000 Speaker 1: Just I want to just add a cautious note, nobody 233 00:12:13,000 --> 00:12:14,839 Speaker 1: thinks Trump is going to lose Iowa. 234 00:12:14,880 --> 00:12:16,920 Speaker 2: It's more of being close. 235 00:12:16,640 --> 00:12:19,600 Speaker 1: In Iowa is a sign of how bad a position 236 00:12:19,679 --> 00:12:20,200 Speaker 1: Trump is in. 237 00:12:20,440 --> 00:12:22,360 Speaker 5: It is partially that. But I want to say this, 238 00:12:22,760 --> 00:12:26,400 Speaker 5: Ann Selzer's track record over the years of prediction in 239 00:12:26,600 --> 00:12:31,280 Speaker 5: Iowa is ridiculous. It is so high, it is so 240 00:12:31,440 --> 00:12:33,040 Speaker 5: consistently on the money. 241 00:12:33,240 --> 00:12:35,920 Speaker 2: And she called the election for Trump in twenty sixteen. 242 00:12:36,360 --> 00:12:38,839 Speaker 5: Yes, And there are plenty of folks, you know, who 243 00:12:38,880 --> 00:12:40,480 Speaker 5: have never been in a campaign, by the way, who 244 00:12:40,520 --> 00:12:43,520 Speaker 5: have never done any electoral electoral work, who have never 245 00:12:44,040 --> 00:12:47,520 Speaker 5: dealt with pulling in any real capacity other than as 246 00:12:47,600 --> 00:12:50,480 Speaker 5: Internet experts on pulling. And there are so many of them. 247 00:12:51,559 --> 00:12:53,240 Speaker 2: It's nice. I like it when you get into the 248 00:12:53,280 --> 00:12:54,160 Speaker 2: resentful part. 249 00:12:54,679 --> 00:12:57,440 Speaker 5: There are a lot of these people. John Patriot four 250 00:12:57,480 --> 00:12:59,640 Speaker 5: sex seven one oh two four nine seven to two, 251 00:13:00,200 --> 00:13:03,679 Speaker 5: who became a Twitter user on August twenty twenty three, 252 00:13:04,080 --> 00:13:06,839 Speaker 5: who's like my analysis of these polls and it gets 253 00:13:06,880 --> 00:13:11,240 Speaker 5: like a billion a billion retweets from morons. You're like, stop, stop, 254 00:13:11,440 --> 00:13:14,000 Speaker 5: this is really not as difficult as you think. Women 255 00:13:14,160 --> 00:13:19,200 Speaker 5: are pissed off. Young women are extremely, extremely pissed off. 256 00:13:19,480 --> 00:13:24,040 Speaker 5: She's winning for at least overperforming with college educated women 257 00:13:24,080 --> 00:13:26,800 Speaker 5: and college educated men. If you take away those two 258 00:13:26,840 --> 00:13:30,280 Speaker 5: demos from the Trump coalition, you're done this country. I 259 00:13:30,280 --> 00:13:32,040 Speaker 5: feel like in a lot of ways, it woke up 260 00:13:32,120 --> 00:13:35,000 Speaker 5: about twenty four hours ago, forty eight hours ago and said, oh, 261 00:13:35,080 --> 00:13:38,319 Speaker 5: I'm done. That's enough, because they get it. They get 262 00:13:38,320 --> 00:13:40,520 Speaker 5: what's at stake. They get what they get that their 263 00:13:40,600 --> 00:13:43,200 Speaker 5: liberty is at stake. They get that their lives are 264 00:13:43,240 --> 00:13:45,719 Speaker 5: at stake. And Donald Trump hasn't helped himself in the 265 00:13:45,760 --> 00:13:50,400 Speaker 5: last ten days unless he's looking for post prison employment. 266 00:13:50,600 --> 00:13:53,720 Speaker 1: So I want to talk about one other thing about 267 00:13:53,760 --> 00:13:58,120 Speaker 1: polling before we stop being me into Nate Silver. 268 00:13:58,679 --> 00:14:01,520 Speaker 4: If you're in line to dunk on Nate Silver, stay 269 00:14:01,520 --> 00:14:02,239 Speaker 4: in line. 270 00:14:02,000 --> 00:14:02,360 Speaker 6: And I'm not. 271 00:14:03,640 --> 00:14:07,960 Speaker 1: This is like two way too online people complain about 272 00:14:08,080 --> 00:14:10,920 Speaker 1: other way too online people. But I have another thing. 273 00:14:11,000 --> 00:14:13,920 Speaker 1: I want to just take a minute to talk about hurting. 274 00:14:14,600 --> 00:14:18,920 Speaker 1: Explain to our listeners what hurting is. 275 00:14:19,320 --> 00:14:23,200 Speaker 5: Go there's a sort of social behavior of pushing people 276 00:14:23,280 --> 00:14:26,400 Speaker 5: into the same frame of the narrative, the same conclusory 277 00:14:26,440 --> 00:14:30,080 Speaker 5: frame of a narrative. And I'm sorry, I have to 278 00:14:30,120 --> 00:14:32,120 Speaker 5: just break in for a second while we're recording this. 279 00:14:32,200 --> 00:14:34,880 Speaker 5: I just got a message on my phone that says 280 00:14:35,200 --> 00:14:38,120 Speaker 5: Miami University of Ohio has just released their survey. It's 281 00:14:38,120 --> 00:14:40,800 Speaker 5: a pretty good survey generally speaking. Trump forty nine, Here's 282 00:14:40,840 --> 00:14:44,240 Speaker 5: forty six in Ohio. Issu's three points back in Ohio. 283 00:14:44,480 --> 00:14:45,320 Speaker 2: He's fucked. 284 00:14:45,440 --> 00:14:47,720 Speaker 5: He's fuck a doodle doo. As they say in the 285 00:14:47,720 --> 00:14:48,920 Speaker 5: technical polling world. 286 00:14:49,040 --> 00:14:52,680 Speaker 1: I think Mike DeWine won that stay by twenty seven points. 287 00:14:53,000 --> 00:14:56,400 Speaker 5: Yeah, And so let's be let's be very real here 288 00:14:56,440 --> 00:14:59,760 Speaker 5: about what this means. This means that there is no 289 00:14:59,800 --> 00:15:02,000 Speaker 5: say place for Trump anywhere outside of the. 290 00:15:02,000 --> 00:15:03,760 Speaker 2: Deep South and Fox News. 291 00:15:03,920 --> 00:15:05,560 Speaker 4: No, he hates Fox News now. I don't know if 292 00:15:05,600 --> 00:15:08,320 Speaker 4: you saw it. Since this morning, he's very very angry. 293 00:15:08,440 --> 00:15:11,000 Speaker 2: Why what did they do to him? Those bastards. 294 00:15:11,520 --> 00:15:13,960 Speaker 5: They've allowed ads on their air that criticize him. 295 00:15:14,200 --> 00:15:16,320 Speaker 2: God damn it, monsters. 296 00:15:16,880 --> 00:15:17,920 Speaker 4: I know it's terrible. 297 00:15:18,080 --> 00:15:20,120 Speaker 5: But by the way, the other thing that Sealzer poll 298 00:15:20,240 --> 00:15:22,280 Speaker 5: was telling me, back to Luke, back to Iowa and 299 00:15:22,320 --> 00:15:23,600 Speaker 5: herding for a second, because this is the. 300 00:15:23,520 --> 00:15:24,240 Speaker 4: Opposite of it. 301 00:15:24,480 --> 00:15:27,640 Speaker 1: Twenty five points. Sorry, Mike DeWine got reelected with twenty 302 00:15:27,720 --> 00:15:28,400 Speaker 1: five points. 303 00:15:28,520 --> 00:15:28,760 Speaker 4: Yeah. 304 00:15:28,880 --> 00:15:31,760 Speaker 5: The other thing that's going on in Iowa is Democrats, 305 00:15:31,880 --> 00:15:34,680 Speaker 5: even in some of the more difficult districts there are 306 00:15:34,720 --> 00:15:38,040 Speaker 5: overperforming by about seven or eight points where. 307 00:15:37,880 --> 00:15:38,400 Speaker 4: They should be. 308 00:15:38,720 --> 00:15:41,240 Speaker 1: No one knows what's going to happen on Tuesday, but 309 00:15:41,760 --> 00:15:45,120 Speaker 1: I want to do two seconds about how fucking wrong 310 00:15:45,480 --> 00:15:48,440 Speaker 1: the media industrial complex was at every point. 311 00:15:48,600 --> 00:15:50,360 Speaker 5: Well, that's what I was getting to because you had 312 00:15:50,400 --> 00:15:52,240 Speaker 5: you did ask a very smart question about what the 313 00:15:52,320 --> 00:15:56,120 Speaker 5: herting effect. And for the last let's even just take 314 00:15:56,160 --> 00:15:58,720 Speaker 5: it from the time Vice President Harris got into the race. 315 00:15:59,120 --> 00:16:02,440 Speaker 5: Between that period of time and today, there has been 316 00:16:02,760 --> 00:16:07,360 Speaker 5: one narrative in the national media, only one narrative, tie ballgame, 317 00:16:07,520 --> 00:16:11,320 Speaker 5: horse race, too close to call, split right down the middle. 318 00:16:11,480 --> 00:16:14,120 Speaker 5: It's not true. And they've they've managed to heard a 319 00:16:14,160 --> 00:16:18,560 Speaker 5: lot of people who follow the mainstream media into a 320 00:16:18,960 --> 00:16:20,880 Speaker 5: mental frame of oh, it's too close to call, it's 321 00:16:20,880 --> 00:16:23,600 Speaker 5: too close to call. Yes, it's close, it may not be. 322 00:16:24,080 --> 00:16:26,800 Speaker 5: There are now many many more signs and look, we're 323 00:16:26,840 --> 00:16:29,760 Speaker 5: rerunning a bunch of regressions on our model this morning. 324 00:16:29,800 --> 00:16:31,120 Speaker 5: It's not going to pop out till later in the 325 00:16:31,160 --> 00:16:33,360 Speaker 5: day because it's we're going to run five thousand tests 326 00:16:33,400 --> 00:16:36,680 Speaker 5: or something like that. Our model's chance of Harris blowout 327 00:16:36,840 --> 00:16:40,080 Speaker 5: has been spiking up dramatically in the last few days, 328 00:16:40,080 --> 00:16:43,200 Speaker 5: and we think with this last round of polling, even 329 00:16:43,240 --> 00:16:47,160 Speaker 5: though everybody steps on the numbers, even though everybody is 330 00:16:47,240 --> 00:16:50,600 Speaker 5: like desperately trying to not be embarrassed by missing out 331 00:16:50,600 --> 00:16:52,960 Speaker 5: a Trump surge like they did in twenty sixteen and 332 00:16:53,160 --> 00:16:57,000 Speaker 5: living out their PTSD for all that, I'm increasingly feeling 333 00:16:57,040 --> 00:16:59,440 Speaker 5: like this is not a tie ball game. And again, 334 00:16:59,680 --> 00:17:02,640 Speaker 5: is there something out there? Is there something we're missing 335 00:17:02,760 --> 00:17:05,760 Speaker 5: ex factor that I'm missing. I have laid awake at night. 336 00:17:06,000 --> 00:17:08,600 Speaker 5: I have pondered this. I have talked to people smarter 337 00:17:08,680 --> 00:17:11,720 Speaker 5: than me by a long shot, and I might add I. 338 00:17:11,720 --> 00:17:15,280 Speaker 1: Have called you five times a day for the last 339 00:17:15,320 --> 00:17:16,280 Speaker 1: ten days. 340 00:17:16,080 --> 00:17:18,040 Speaker 4: And asked you how are you feeling? 341 00:17:18,240 --> 00:17:20,320 Speaker 2: And also, is there something you're fucking missing? 342 00:17:20,440 --> 00:17:23,639 Speaker 5: Yeah, and believe me, I want to know what I'm missing. 343 00:17:23,720 --> 00:17:25,480 Speaker 5: If I'm missing something, I want to know it. I 344 00:17:25,520 --> 00:17:27,000 Speaker 5: want to find it. I want to kill it. 345 00:17:27,200 --> 00:17:29,800 Speaker 2: But you want to shoot it with the gun? 346 00:17:30,240 --> 00:17:31,560 Speaker 4: Well, yes, actually I do. 347 00:17:31,800 --> 00:17:34,720 Speaker 5: I don't have a failure mode in these models right 348 00:17:34,760 --> 00:17:38,000 Speaker 5: now that I'm not seeing early voting numbers are so 349 00:17:38,400 --> 00:17:42,400 Speaker 5: heavily stacked over toward women that unless there's some secret 350 00:17:42,560 --> 00:17:46,000 Speaker 5: Trump vote of women on abortion in his side of 351 00:17:46,040 --> 00:17:49,280 Speaker 5: this matter, I can't find it. Unless there's some secret 352 00:17:49,320 --> 00:17:52,280 Speaker 5: field program out there that Elon is running and not 353 00:17:52,359 --> 00:17:55,240 Speaker 5: just dragging people around in rider trucks and abandoning them 354 00:17:55,240 --> 00:17:58,240 Speaker 5: in faraway states, we're not seeing its effect. All of 355 00:17:58,280 --> 00:18:01,359 Speaker 5: these things are in my mind and signs of an 356 00:18:01,400 --> 00:18:03,200 Speaker 5: impending win for Harris. 357 00:18:03,119 --> 00:18:05,280 Speaker 1: And I want to pause for a second, just for 358 00:18:05,400 --> 00:18:08,119 Speaker 1: one last thing about polls. All of these polls have 359 00:18:08,240 --> 00:18:11,680 Speaker 1: been R plus two or R plus three because they 360 00:18:11,720 --> 00:18:14,800 Speaker 1: weren't expecting an R plus two or R pus three 361 00:18:15,000 --> 00:18:19,119 Speaker 1: or electorate, when in fact, after overturning Roe v. Wade 362 00:18:19,200 --> 00:18:21,840 Speaker 1: a right that women have had since nineteen seventy three, 363 00:18:22,520 --> 00:18:26,520 Speaker 1: it would have been more realistic to have maybe pulled 364 00:18:26,520 --> 00:18:28,359 Speaker 1: with a D plus one electorate. 365 00:18:28,920 --> 00:18:32,159 Speaker 5: Yeah, I mean stacking the electorate to look like R 366 00:18:32,200 --> 00:18:35,080 Speaker 5: plus two, three, four, five, six, or even stacking the 367 00:18:35,119 --> 00:18:38,080 Speaker 5: electorate in some of these cases to look like twenty sixteen. 368 00:18:38,480 --> 00:18:41,080 Speaker 5: If you look at the way twenty sixteen ended, Donald 369 00:18:41,080 --> 00:18:45,160 Speaker 5: Trump how to be portray Hillary Clinton sick, old, tired, 370 00:18:45,400 --> 00:18:50,240 Speaker 5: couldn't finish a speech, week, failing, not doing well, disliked 371 00:18:50,280 --> 00:18:54,280 Speaker 5: by her own party in many ways, no real constituency. 372 00:18:54,520 --> 00:18:58,159 Speaker 5: Trump has become the character that he pretended Hillary Clinton 373 00:18:58,240 --> 00:19:02,120 Speaker 5: was in twenty sixteen. Oh it's smart, okay, And I 374 00:19:02,160 --> 00:19:05,600 Speaker 5: think that is going to corrode Trump in this last bit. 375 00:19:05,720 --> 00:19:07,840 Speaker 5: And I will also say this, we're looking at a 376 00:19:07,880 --> 00:19:11,320 Speaker 5: real the rally differential. I know it's like aneic data 377 00:19:11,400 --> 00:19:14,280 Speaker 5: as they call it. But Trump in these small halls 378 00:19:14,400 --> 00:19:17,200 Speaker 5: with these small audiences that don't look that revved up, 379 00:19:17,240 --> 00:19:19,760 Speaker 5: don't look that enthusiastic. And yesterday when he was out 380 00:19:19,800 --> 00:19:21,920 Speaker 5: there on this company, He's like, this is almost the end. 381 00:19:22,320 --> 00:19:24,760 Speaker 5: We won't be doing this much longer. He gets it, 382 00:19:24,920 --> 00:19:27,440 Speaker 5: he knows this is over. He knows it's not coming back. 383 00:19:27,520 --> 00:19:30,080 Speaker 5: He's not going to have some sort of magical flip. 384 00:19:30,359 --> 00:19:33,080 Speaker 5: This thing doesn't have the feel. And I know feelings 385 00:19:33,119 --> 00:19:35,560 Speaker 5: are are not data, but it doesn't have the feel 386 00:19:35,600 --> 00:19:38,600 Speaker 5: and the vibe that you would have. And think about 387 00:19:38,600 --> 00:19:42,600 Speaker 5: how the campaigns are ending, Molly. She's ending optimistic, big crowds, 388 00:19:42,600 --> 00:19:46,560 Speaker 5: big excitement going on Saturday night, live optimistic message, keeping 389 00:19:46,640 --> 00:19:50,520 Speaker 5: up this idea that the country's going to be better. 390 00:19:50,840 --> 00:19:54,200 Speaker 5: Donald Trump is still you know, the apocalypse, doom and gloom. 391 00:19:54,480 --> 00:19:57,040 Speaker 5: They're eating the dogs, all this crap, and nothing they're 392 00:19:57,080 --> 00:20:00,320 Speaker 5: doing is working to change that narrative ructure. 393 00:20:00,640 --> 00:20:04,119 Speaker 1: I also think we didn't cover the right stuff, Like 394 00:20:04,160 --> 00:20:07,439 Speaker 1: if you're going to post mortem mainstream media, and I 395 00:20:07,480 --> 00:20:09,800 Speaker 1: say this as a member of the mainstream media, we 396 00:20:09,880 --> 00:20:13,280 Speaker 1: didn't spend enough time covering women. We didn't spend enough 397 00:20:13,320 --> 00:20:15,080 Speaker 1: time covering Roe v. 398 00:20:15,240 --> 00:20:16,760 Speaker 2: Wade. You know, we spend so. 399 00:20:16,760 --> 00:20:21,200 Speaker 1: Much time being mad at Hispanic men and not nearly 400 00:20:21,359 --> 00:20:25,000 Speaker 1: enough time looking at the women vote or looking at 401 00:20:25,040 --> 00:20:27,879 Speaker 1: and you know, Hispanic men may end up supporting her 402 00:20:27,960 --> 00:20:28,840 Speaker 1: in the same numbers. 403 00:20:28,880 --> 00:20:31,040 Speaker 2: We don't know, right, we're not at. 404 00:20:30,920 --> 00:20:33,760 Speaker 5: A moment where journalism is ready to take a look 405 00:20:33,840 --> 00:20:36,400 Speaker 5: at how they blew this race, but they did. We're 406 00:20:36,400 --> 00:20:39,280 Speaker 5: not at a moment where conservatism inc. Is ready to. 407 00:20:39,240 --> 00:20:41,200 Speaker 4: Say, oh my god, we've really fucked this up. 408 00:20:41,440 --> 00:20:44,960 Speaker 5: And honestly, the idea that people are going to say, oh, 409 00:20:45,000 --> 00:20:47,320 Speaker 5: you're just attacking the Times or you're just mad at 410 00:20:47,320 --> 00:20:49,560 Speaker 5: the media, because blah blah, I'm mad at them for 411 00:20:49,640 --> 00:20:52,159 Speaker 5: fucking up their own reputations. I'm mad at them for 412 00:20:52,280 --> 00:20:55,479 Speaker 5: drinking the poison that Trump keeps feeding them every minute 413 00:20:55,600 --> 00:20:58,640 Speaker 5: of the day. I'm mad at them for putting themselves 414 00:20:58,680 --> 00:21:02,000 Speaker 5: in a way that compromises is the future of journalism, 415 00:21:02,280 --> 00:21:05,119 Speaker 5: because they were afraid that Trump might win, and that 416 00:21:05,240 --> 00:21:08,160 Speaker 5: some of them who we know are so sunk into 417 00:21:08,160 --> 00:21:11,160 Speaker 5: the Stockholm syndrome of being afraid of Trump that they 418 00:21:11,400 --> 00:21:14,840 Speaker 5: are buying into the bullshit of Trump. I mean, all 419 00:21:14,960 --> 00:21:17,800 Speaker 5: this has to be in a challenging media environment. A 420 00:21:17,920 --> 00:21:22,119 Speaker 5: little bit of recognition of their self and their and 421 00:21:22,160 --> 00:21:25,200 Speaker 5: their own culpability to the corruption of Trump and trump 422 00:21:25,280 --> 00:21:27,919 Speaker 5: Ism would be really smart. But these narratives that they 423 00:21:28,000 --> 00:21:29,840 Speaker 5: ran down the rabbit hole on Here's what's going to 424 00:21:29,840 --> 00:21:32,840 Speaker 5: happen with African Americans on Tuesday. They're going to fall 425 00:21:32,880 --> 00:21:37,000 Speaker 5: almost precisely within the historical median of African American voter performance, 426 00:21:37,080 --> 00:21:39,320 Speaker 5: both in terms of turnout and in terms of party selection. 427 00:21:39,640 --> 00:21:43,240 Speaker 5: He may have a small spike in Hispanic support, but 428 00:21:43,280 --> 00:21:45,240 Speaker 5: it's probably still going to fall short at what George W. 429 00:21:45,320 --> 00:21:48,119 Speaker 5: Bush got in twenty or thirty seven percent. The things 430 00:21:48,119 --> 00:21:50,520 Speaker 5: that they claimed they were doing and the things they 431 00:21:50,520 --> 00:21:53,200 Speaker 5: claimed that their message was influenced where their message was 432 00:21:53,240 --> 00:21:56,600 Speaker 5: influencing in the campaign were bullshit, and the reporters around 433 00:21:56,680 --> 00:21:59,760 Speaker 5: them in the bubble of Trump World drank the poison, 434 00:22:00,119 --> 00:22:02,440 Speaker 5: believe the bullshit. And I get it. It's a hard 435 00:22:02,480 --> 00:22:05,520 Speaker 5: thing to do to be as a critical voice and 436 00:22:05,600 --> 00:22:08,600 Speaker 5: to question these people when they know that access and 437 00:22:08,720 --> 00:22:12,760 Speaker 5: connection and Trump World whatever is vital. I mean, the 438 00:22:12,800 --> 00:22:14,960 Speaker 5: only time now that it's started to break down, where 439 00:22:15,000 --> 00:22:18,119 Speaker 5: reporters are starting to drill in and do things that 440 00:22:18,160 --> 00:22:21,160 Speaker 5: the campaign hates texted was somebody last night who told 441 00:22:21,160 --> 00:22:24,479 Speaker 5: me that the nuclear meltdown over the tim alberta article 442 00:22:24,520 --> 00:22:28,520 Speaker 5: from the Atlantic this weekend inside Trump World is beyond 443 00:22:28,840 --> 00:22:30,880 Speaker 5: I mean they've all started the blame storming. 444 00:22:31,800 --> 00:22:34,439 Speaker 2: Well, that article was amazing. 445 00:22:34,720 --> 00:22:39,199 Speaker 1: Yeah, that was like them starting blamestorming even before the 446 00:22:39,760 --> 00:22:42,080 Speaker 1: early voting was counted, right. 447 00:22:42,320 --> 00:22:45,120 Speaker 5: Yes, Sadly, I think you're going to see the media say, well, 448 00:22:45,160 --> 00:22:47,000 Speaker 5: we did as good as we could because Trump is 449 00:22:47,040 --> 00:22:49,280 Speaker 5: so weird and so degenerate and so blah blah blah 450 00:22:49,280 --> 00:22:51,320 Speaker 5: blah blah, and nobody could have done a better job, 451 00:22:51,440 --> 00:22:53,480 Speaker 5: and so we're going to forgive ourselves and move on. 452 00:22:53,720 --> 00:22:54,719 Speaker 4: I think that's a mistake. 453 00:22:55,119 --> 00:22:56,480 Speaker 2: Thank you of course. 454 00:22:58,520 --> 00:23:02,800 Speaker 1: Jessica Mackler is the president of Emily's List. Welcome to 455 00:23:02,960 --> 00:23:07,280 Speaker 1: Fast Politics, Jessica Meckler. I am so excited to have 456 00:23:07,359 --> 00:23:09,639 Speaker 1: you here. I want to just give a two second 457 00:23:09,680 --> 00:23:12,879 Speaker 1: introduction to you. You are the head of Emily's List, 458 00:23:12,920 --> 00:23:17,159 Speaker 1: which is this organization that's a long established organization to 459 00:23:17,200 --> 00:23:20,120 Speaker 1: a luck women. But we did a panel together at 460 00:23:20,119 --> 00:23:23,600 Speaker 1: the Harvard Institute of Politics and what I was struck 461 00:23:23,680 --> 00:23:29,760 Speaker 1: by was how much you are in it in the field. 462 00:23:30,200 --> 00:23:32,600 Speaker 2: So where are you right now and tell us about that? 463 00:23:33,080 --> 00:23:36,600 Speaker 6: Yes, well, I am in Las Vegasabata today and this 464 00:23:36,880 --> 00:23:40,240 Speaker 6: is I think my eighth thop in just a couple 465 00:23:40,240 --> 00:23:42,880 Speaker 6: of weeks out of the campaign trail. I was with 466 00:23:43,080 --> 00:23:46,720 Speaker 6: other Reproductive Freedom partners and Thunder Jackie Rosen and Sundator 467 00:23:46,800 --> 00:23:50,040 Speaker 6: Sammy Duckworth this morning talking about the things to reproductive 468 00:23:50,040 --> 00:23:51,199 Speaker 6: freedom here in Nevada. 469 00:23:51,280 --> 00:23:53,399 Speaker 2: So two questions about Nevada. 470 00:23:53,520 --> 00:23:58,000 Speaker 1: One is what is it like? Can you see the sphere? 471 00:23:58,240 --> 00:24:02,240 Speaker 1: And is that the largest political advertisement ever? And is 472 00:24:02,320 --> 00:24:03,760 Speaker 1: Harris on it? 473 00:24:03,760 --> 00:24:06,000 Speaker 2: It's just a bit of sort of trivia. But do 474 00:24:06,080 --> 00:24:08,879 Speaker 2: you think that that will have any influence on voting? 475 00:24:09,040 --> 00:24:10,479 Speaker 6: We are going to drive by this spehar because I'm 476 00:24:10,480 --> 00:24:12,399 Speaker 6: actually headed back to the airport to go to another 477 00:24:12,480 --> 00:24:14,800 Speaker 6: campaign and stop. But I've seen pictures of it, I 478 00:24:14,840 --> 00:24:16,480 Speaker 6: haven't seen it in person of it. I want to 479 00:24:16,520 --> 00:24:17,160 Speaker 6: before I go. 480 00:24:17,480 --> 00:24:17,760 Speaker 4: Look. 481 00:24:17,800 --> 00:24:21,440 Speaker 6: I mean, this election Nevada's battleground state. I've worked here before, 482 00:24:21,600 --> 00:24:24,239 Speaker 6: and I will say that it is always close. We 483 00:24:24,280 --> 00:24:26,760 Speaker 6: know this was the state in twenty twenty two that 484 00:24:27,000 --> 00:24:29,720 Speaker 6: delivered the hold of the Sun of Majority in the 485 00:24:29,800 --> 00:24:32,159 Speaker 6: closest race in the country, and so we expect that 486 00:24:32,240 --> 00:24:34,480 Speaker 6: again this time. And I think anything that we can 487 00:24:34,520 --> 00:24:37,040 Speaker 6: do to put the message in front of voters is 488 00:24:37,080 --> 00:24:39,080 Speaker 6: going to be really critical in this final stretch. 489 00:24:39,359 --> 00:24:42,040 Speaker 1: It's funny because it's like there was initially a big 490 00:24:42,080 --> 00:24:45,200 Speaker 1: freak out about the early vote in Nevada, and then 491 00:24:45,400 --> 00:24:49,120 Speaker 1: Democrats caught up almost or close to right. 492 00:24:49,280 --> 00:24:53,400 Speaker 2: And it's just interesting to me that historically that's how 493 00:24:53,400 --> 00:24:54,080 Speaker 2: it goes there. 494 00:24:54,200 --> 00:24:54,400 Speaker 5: Right. 495 00:24:54,640 --> 00:24:57,000 Speaker 6: Yeah, I think early vote is really important in Nevada 496 00:24:57,080 --> 00:24:59,440 Speaker 6: because a lot of voters do participate in the early vote. 497 00:25:00,000 --> 00:25:02,199 Speaker 6: The key thing in this election cycle is there's just 498 00:25:02,200 --> 00:25:03,920 Speaker 6: a lot of different factors that make it a little 499 00:25:03,920 --> 00:25:06,280 Speaker 6: bit hard to compare with this election cycle to other 500 00:25:06,320 --> 00:25:11,040 Speaker 6: election cycles. Republicans, despite complaining about early vote and disparaging 501 00:25:11,080 --> 00:25:14,480 Speaker 6: early votes, have decided to encourage their voters to vote early, 502 00:25:14,640 --> 00:25:17,800 Speaker 6: and so we're seeing that they're cannibalizing their election day vote. 503 00:25:17,840 --> 00:25:20,840 Speaker 6: Twenty percent of the Republicans who voted early in this 504 00:25:20,920 --> 00:25:24,439 Speaker 6: election historically vote on election day. And we also know 505 00:25:24,520 --> 00:25:28,040 Speaker 6: that because now Nevada has automatic voter registration, and when 506 00:25:28,119 --> 00:25:32,040 Speaker 6: you're registered automatically, you're a registered nonpartisan, and so we 507 00:25:32,119 --> 00:25:37,080 Speaker 6: have a big other nonpartisan category started the early book. Yeah, 508 00:25:37,080 --> 00:25:39,720 Speaker 6: And what we know though, is that when we look 509 00:25:39,760 --> 00:25:42,440 Speaker 6: at the demographics of those voters who are voting early, 510 00:25:42,600 --> 00:25:44,520 Speaker 6: they are younger, they are more diverse, and so we 511 00:25:44,520 --> 00:25:47,640 Speaker 6: feel really good about that electorate turning out for us 512 00:25:47,640 --> 00:25:50,600 Speaker 6: and being with the Democrats in this election. But you know, 513 00:25:50,800 --> 00:25:52,760 Speaker 6: it is going to be a close election. We've known that. 514 00:25:52,840 --> 00:25:55,760 Speaker 6: I've said for weeks and months that Nevada was going 515 00:25:55,800 --> 00:25:57,960 Speaker 6: to be close because it's a battleground state for a reason, 516 00:25:58,080 --> 00:26:00,280 Speaker 6: so we need every vote vote. I will The other 517 00:26:00,320 --> 00:26:02,159 Speaker 6: thing I will just say is that Nevada knows how 518 00:26:02,160 --> 00:26:04,919 Speaker 6: to do the work. And I was in a standing 519 00:26:05,000 --> 00:26:08,640 Speaker 6: room only crowd today of people who were revved up 520 00:26:08,800 --> 00:26:11,480 Speaker 6: to go give this phone bank, do the work to 521 00:26:11,480 --> 00:26:12,480 Speaker 6: bring in those voters. 522 00:26:12,880 --> 00:26:16,960 Speaker 1: Rosen has led Brown this entire time in the center 523 00:26:17,040 --> 00:26:20,120 Speaker 1: race at the bottom of the ticket. Doesn't that account 524 00:26:20,160 --> 00:26:20,840 Speaker 1: for anything? 525 00:26:21,240 --> 00:26:21,440 Speaker 2: Well? 526 00:26:21,480 --> 00:26:24,240 Speaker 6: Absolutely, I mean Jackie Rosen enters the final stretch of 527 00:26:24,240 --> 00:26:28,520 Speaker 6: this election in a strong place because of the campaign 528 00:26:28,560 --> 00:26:30,840 Speaker 6: that she's built, because of the record that she has, 529 00:26:30,880 --> 00:26:33,639 Speaker 6: and that really has been driven by the fight for 530 00:26:33,680 --> 00:26:36,879 Speaker 6: reproductive rights. He has made this issue essential part of 531 00:26:36,920 --> 00:26:40,400 Speaker 6: her campaign and has really driven home in the contrast 532 00:26:40,480 --> 00:26:43,560 Speaker 6: between herself and Sam Brown. You know, she comes into 533 00:26:43,560 --> 00:26:46,359 Speaker 6: these final days of this election after having run this 534 00:26:46,480 --> 00:26:49,679 Speaker 6: incredibly strong campaign, and that is really important. As we 535 00:26:49,720 --> 00:26:50,840 Speaker 6: get to the ends here. 536 00:26:50,880 --> 00:26:54,560 Speaker 1: Talk to me about the other battlegrounds, for example, this 537 00:26:54,720 --> 00:26:58,080 Speaker 1: Pennsylvania early vote situation, because it could be a meaning 538 00:26:58,119 --> 00:27:00,399 Speaker 1: couple indication of what we're going to see too, it 539 00:27:00,440 --> 00:27:01,240 Speaker 1: could also not be. 540 00:27:01,640 --> 00:27:04,720 Speaker 6: Yeah, this is the hardest part, right because everybody, you know, 541 00:27:04,760 --> 00:27:06,800 Speaker 6: we because the election is so important, the states are 542 00:27:06,840 --> 00:27:09,719 Speaker 6: so high and so we're looking for every little tidbit 543 00:27:09,840 --> 00:27:12,639 Speaker 6: to try to figure out where things stand. But we 544 00:27:12,760 --> 00:27:16,199 Speaker 6: have some encouraging news. Right It's notspositive, but we are 545 00:27:16,240 --> 00:27:19,480 Speaker 6: looking at the numbers in Pennsylvania and we feel really 546 00:27:19,520 --> 00:27:22,640 Speaker 6: good about that. We see that among the new female voters, 547 00:27:22,680 --> 00:27:26,040 Speaker 6: Democrats outnumber Republicans nearly two to one. And then we 548 00:27:26,080 --> 00:27:29,879 Speaker 6: see that we just overall are seeing turnout with women 549 00:27:30,160 --> 00:27:33,199 Speaker 6: in Pennsylvania and in other early vote states. That is 550 00:27:33,320 --> 00:27:34,480 Speaker 6: really encouraging. 551 00:27:34,920 --> 00:27:36,719 Speaker 2: Which other early vote states. 552 00:27:37,000 --> 00:27:40,240 Speaker 6: The early numbers out of North Carolina as well show 553 00:27:40,280 --> 00:27:42,320 Speaker 6: that women are out paything bad And you know, across 554 00:27:42,359 --> 00:27:44,600 Speaker 6: the battle ground we see a ten point gender gap 555 00:27:44,600 --> 00:27:48,119 Speaker 6: in early voting so far. That is really encouraging because 556 00:27:48,119 --> 00:27:50,399 Speaker 6: we know that it's a diverse coalition of women that 557 00:27:50,440 --> 00:27:52,359 Speaker 6: are going to deliver a win up and down the 558 00:27:52,400 --> 00:27:55,000 Speaker 6: ballot for Democrats, starting with Kamala Harris, and we know 559 00:27:55,119 --> 00:27:57,200 Speaker 6: that those women are voting on the issue of reproduction. 560 00:27:57,359 --> 00:28:00,240 Speaker 1: Rya, I want you to talk about the volunteers you've 561 00:28:00,240 --> 00:28:02,840 Speaker 1: seen with volunteers on the ground, because I think that's 562 00:28:03,000 --> 00:28:03,879 Speaker 1: really important. 563 00:28:04,080 --> 00:28:05,920 Speaker 6: Absolutely. I mean, I, like I said, I'm here in 564 00:28:06,040 --> 00:28:08,480 Speaker 6: Las Vegas about it. Today. We had a standing room 565 00:28:08,560 --> 00:28:13,600 Speaker 6: only crowd, very heavily female crowd in attendance, showing up 566 00:28:13,640 --> 00:28:16,000 Speaker 6: to rally for reproductive freedom, but not just a rally 567 00:28:16,000 --> 00:28:18,520 Speaker 6: for reproductive freedom. The reason they were there is because 568 00:28:18,560 --> 00:28:21,680 Speaker 6: they are volunteers, and they're the steadbath volunteers out there 569 00:28:21,760 --> 00:28:24,920 Speaker 6: knocking on the doors, making the phone calls. It's cooled 570 00:28:24,960 --> 00:28:26,600 Speaker 6: off a little bit here in Las Vegas, but I 571 00:28:26,640 --> 00:28:28,439 Speaker 6: was here a couple of weeks ago. We had the 572 00:28:28,520 --> 00:28:32,200 Speaker 6: same type of turnout in one hundred degree heat. Basically 573 00:28:32,359 --> 00:28:34,480 Speaker 6: people showing up ready to do the work because they're 574 00:28:34,520 --> 00:28:38,160 Speaker 6: so motivated. Selection last week, I was in Rochester, Michigan, 575 00:28:38,280 --> 00:28:41,240 Speaker 6: which is a purple part of the state. It's a 576 00:28:41,360 --> 00:28:43,720 Speaker 6: really important part of the state in terms of the 577 00:28:43,720 --> 00:28:47,400 Speaker 6: path to victory statewide and for targeted races at all 578 00:28:47,480 --> 00:28:50,360 Speaker 6: levels of the ballot, and we had again standing room 579 00:28:50,400 --> 00:28:54,080 Speaker 6: only crowd full of women really energized both to hear 580 00:28:54,120 --> 00:28:55,800 Speaker 6: what we had to say, but then also to go 581 00:28:55,880 --> 00:28:59,160 Speaker 6: from there and take a walk, packet or take a 582 00:28:59,200 --> 00:29:02,200 Speaker 6: phone shift do the work. So the energy and the 583 00:29:02,240 --> 00:29:06,640 Speaker 6: excitement that we see among women in particular across the battlegrounds, 584 00:29:06,640 --> 00:29:08,680 Speaker 6: and I would say even drilling down a little bit 585 00:29:08,880 --> 00:29:11,560 Speaker 6: young women across the battlegrounds, which you know we define 586 00:29:11,560 --> 00:29:13,080 Speaker 6: as forty five and under. 587 00:29:13,040 --> 00:29:13,640 Speaker 2: I like that. 588 00:29:13,640 --> 00:29:17,160 Speaker 6: It's really incredible. Yeah, I have six more months or 589 00:29:17,160 --> 00:29:19,160 Speaker 6: it makes me really happy. You know, the vibes in 590 00:29:19,240 --> 00:29:21,280 Speaker 6: DC are anxious, but the vibes on the ground and 591 00:29:21,280 --> 00:29:23,000 Speaker 6: battle ground states are energetic. 592 00:29:23,320 --> 00:29:26,760 Speaker 1: So yes, it seems like there's some information out of 593 00:29:26,800 --> 00:29:30,320 Speaker 1: Pennsylvania now that Trump is struggling with older voters. 594 00:29:30,600 --> 00:29:32,040 Speaker 2: Those were the voters. 595 00:29:31,680 --> 00:29:34,840 Speaker 1: That he had sort of lost in twenty twenty from 596 00:29:34,920 --> 00:29:37,480 Speaker 1: COVID and it seems like they have maybe not come 597 00:29:37,520 --> 00:29:38,160 Speaker 1: back to him. 598 00:29:38,560 --> 00:29:40,160 Speaker 6: That's right, And I mean, I think one thing that's 599 00:29:40,160 --> 00:29:42,680 Speaker 6: really important to think about when you think about those 600 00:29:42,800 --> 00:29:46,240 Speaker 6: older voters, especially older women, that we have seen in 601 00:29:46,560 --> 00:29:49,400 Speaker 6: the polling data, is that they remember a time when 602 00:29:49,440 --> 00:29:52,080 Speaker 6: these ripe for a risk, and they have that history 603 00:29:52,120 --> 00:29:54,640 Speaker 6: and so or where these rights didn't exist and they 604 00:29:54,680 --> 00:29:59,280 Speaker 6: are now watching in horror as their granddaughters and daughters 605 00:29:59,320 --> 00:30:01,840 Speaker 6: are fighting the fi that they thought was one. We 606 00:30:01,920 --> 00:30:04,960 Speaker 6: really do see a lot of opportunity with those older 607 00:30:05,040 --> 00:30:07,760 Speaker 6: voters sixty five and over. We have seen that, as 608 00:30:07,760 --> 00:30:10,960 Speaker 6: you said, in Pennsylvania, they Democrats aged over sixty five 609 00:30:11,080 --> 00:30:13,840 Speaker 6: have outloaded Republicans. And then we also just see across 610 00:30:13,880 --> 00:30:17,240 Speaker 6: if you look at every age demographic and across race, 611 00:30:17,320 --> 00:30:21,880 Speaker 6: across geography, women voters are breaking for Kapla Harris in 612 00:30:21,880 --> 00:30:23,680 Speaker 6: this real way, and so we look at you. There 613 00:30:23,720 --> 00:30:25,880 Speaker 6: was a full last week that had her with a 614 00:30:25,960 --> 00:30:29,360 Speaker 6: nine point lead among suburban women, and we had full 615 00:30:29,480 --> 00:30:33,040 Speaker 6: among young voters to where she leads by twenty points 616 00:30:33,560 --> 00:30:36,440 Speaker 6: young women voters. And so it's those metrics when we 617 00:30:36,440 --> 00:30:38,920 Speaker 6: look at kind of any different bucket, we are seeing that, 618 00:30:39,120 --> 00:30:42,680 Speaker 6: particularly for women, they are rallying around the Vice president. 619 00:30:42,680 --> 00:30:45,200 Speaker 6: They are energized by her, and they are rejecting this 620 00:30:45,360 --> 00:30:48,680 Speaker 6: politics of hate and division and a platform that is 621 00:30:48,680 --> 00:30:51,080 Speaker 6: going to deny us our rights for a generation to cop. 622 00:30:51,160 --> 00:30:53,240 Speaker 1: At least where else have you been in what other 623 00:30:53,320 --> 00:30:56,800 Speaker 1: Senate candidates have you been sort of involved with in 624 00:30:56,840 --> 00:30:57,200 Speaker 1: the field. 625 00:30:57,480 --> 00:30:59,840 Speaker 6: Absolutely so, I was in Michigan campaigning for a list 626 00:30:59,840 --> 00:31:02,240 Speaker 6: of block ken in the Michigan center race. She too 627 00:31:02,560 --> 00:31:05,680 Speaker 6: is a veteran of tough races and is in a 628 00:31:05,720 --> 00:31:08,600 Speaker 6: really strong position in a battleground state. All of these 629 00:31:08,680 --> 00:31:10,120 Speaker 6: races are going to be close, we just have to 630 00:31:10,120 --> 00:31:14,160 Speaker 6: acknowledge that. But her candidacy has been really strong, again 631 00:31:14,240 --> 00:31:16,560 Speaker 6: someone who has put the issue of reproductive freedom front 632 00:31:16,560 --> 00:31:21,160 Speaker 6: and center. I am headed tonight to oh Claire, Wisconsin. 633 00:31:21,240 --> 00:31:24,040 Speaker 6: The campaign for Tammy Baldwin in the Senate race. There 634 00:31:24,160 --> 00:31:27,360 Speaker 6: another state Wisconsin that will be very very close, but 635 00:31:27,400 --> 00:31:29,880 Speaker 6: where we have an opponent in Eric Hobdy who just 636 00:31:30,000 --> 00:31:34,400 Speaker 6: recently said that young women were single issue voters and 637 00:31:34,520 --> 00:31:37,400 Speaker 6: kind of, you know, in a disparaging way. That's an 638 00:31:37,440 --> 00:31:40,200 Speaker 6: example of somebody, you know, we see this across the 639 00:31:40,200 --> 00:31:43,000 Speaker 6: board with these Republican candidates who just really doesn't get it. 640 00:31:43,000 --> 00:31:45,640 Speaker 6: It's not that young women are single issue voters. It's 641 00:31:45,680 --> 00:31:47,480 Speaker 6: that we don't want to die. We don't want our 642 00:31:47,480 --> 00:31:49,440 Speaker 6: friends to die, we don't want a relatives to die. 643 00:31:49,520 --> 00:31:52,320 Speaker 6: They really are missing the mark in terms of understanding 644 00:31:52,320 --> 00:31:54,640 Speaker 6: what's going on here. But those are all candidates who 645 00:31:54,680 --> 00:31:57,160 Speaker 6: are in really strong positions heading into the final stretch, 646 00:31:57,280 --> 00:31:59,880 Speaker 6: all of who are going to have extraordinarily tight margin. 647 00:32:00,240 --> 00:32:03,640 Speaker 6: But we feel all optimistic about them because of both 648 00:32:03,640 --> 00:32:06,880 Speaker 6: the strong candidacy they provided and also just the leadership 649 00:32:06,880 --> 00:32:09,200 Speaker 6: of the centering of this fite for reproductive breedem. 650 00:32:09,520 --> 00:32:11,880 Speaker 1: What I'm thinking about when I heard you talk at 651 00:32:11,880 --> 00:32:14,600 Speaker 1: Harvard when we were on this panel, I thought, I've 652 00:32:14,640 --> 00:32:19,080 Speaker 1: been on so much television and media and writing and 653 00:32:19,480 --> 00:32:22,120 Speaker 1: reading so many pieces and listening to so many podcasts 654 00:32:22,160 --> 00:32:25,719 Speaker 1: and women are really kind of not thought of as 655 00:32:25,760 --> 00:32:29,400 Speaker 1: an important issue. We're sort of relegated to the back. Still, 656 00:32:29,880 --> 00:32:32,200 Speaker 1: what I think is so interesting about this and we've 657 00:32:32,200 --> 00:32:36,640 Speaker 1: seen so much coverage of Tromp and his conservatives and 658 00:32:36,760 --> 00:32:39,280 Speaker 1: voters that might do this or do that, and just 659 00:32:39,360 --> 00:32:41,920 Speaker 1: not a lot of coverage about all of these women 660 00:32:41,960 --> 00:32:44,320 Speaker 1: who are pissed off about losing their rights. 661 00:32:44,520 --> 00:32:45,760 Speaker 2: I'm sort of struck by that. 662 00:32:46,160 --> 00:32:48,720 Speaker 1: And if in the end, and again we don't know 663 00:32:48,760 --> 00:32:51,560 Speaker 1: what's going to happen, and anyone who tells you they 664 00:32:51,600 --> 00:32:55,120 Speaker 1: do is really full of shit. But in the end, 665 00:32:55,320 --> 00:32:59,520 Speaker 1: if women do deliver this victory for Harris, it is 666 00:32:59,560 --> 00:33:04,320 Speaker 1: such an indictment of the way the mainstream media coppers politics. 667 00:33:04,760 --> 00:33:07,280 Speaker 6: I couldn't agree more. And you know, I believe Look 668 00:33:07,280 --> 00:33:10,400 Speaker 6: as an organization that was founded forty years ago by 669 00:33:10,480 --> 00:33:12,960 Speaker 6: a generation of women who were pissed off that they 670 00:33:13,120 --> 00:33:17,120 Speaker 6: were being desmits and not taking seriously. And to push 671 00:33:17,120 --> 00:33:20,479 Speaker 6: women to the forefront, and to see women even to 672 00:33:20,520 --> 00:33:23,880 Speaker 6: your point that we still don't necessarily have that coverage 673 00:33:23,880 --> 00:33:27,240 Speaker 6: and that attention, but that they are driving this fight 674 00:33:27,440 --> 00:33:30,320 Speaker 6: and driving these wins is really remarkable. And you know, 675 00:33:30,600 --> 00:33:32,760 Speaker 6: one other thing I would say, is that it really 676 00:33:32,760 --> 00:33:35,720 Speaker 6: matters sav a candidate like Vice President Kamala Harritz, who 677 00:33:35,760 --> 00:33:39,000 Speaker 6: is meeting the moment in so many ways, but meeting 678 00:33:39,040 --> 00:33:42,440 Speaker 6: this moment for women who are outraged, and she can 679 00:33:42,480 --> 00:33:45,920 Speaker 6: say to them, on the foundation of an entire lifetime 680 00:33:46,040 --> 00:33:48,800 Speaker 6: of fighting these fights, you know you're a bad I'm 681 00:33:48,840 --> 00:33:50,960 Speaker 6: mad too, and we're here's something we're going to do 682 00:33:51,040 --> 00:33:54,880 Speaker 6: about it. And the power of that is just really remarkable. 683 00:33:55,120 --> 00:33:57,600 Speaker 6: And I think that is what is driving what we're 684 00:33:57,600 --> 00:33:59,080 Speaker 6: seeing across this country right now. 685 00:33:59,360 --> 00:34:02,720 Speaker 1: Yeah, and again, I am a big Joe Biden fan, 686 00:34:02,920 --> 00:34:05,880 Speaker 1: and I really appreciate all of the work he's done, 687 00:34:05,920 --> 00:34:10,640 Speaker 1: and he's been just magnificent passing legislation, but he is 688 00:34:10,760 --> 00:34:12,680 Speaker 1: not great at talking about abortion. 689 00:34:13,280 --> 00:34:16,080 Speaker 6: Joe Biden did the most patriotic thing that a person 690 00:34:16,200 --> 00:34:18,560 Speaker 6: can do, and as a testament to his leadership that 691 00:34:18,600 --> 00:34:20,520 Speaker 6: he looked at this and said this is too important. 692 00:34:20,560 --> 00:34:22,759 Speaker 6: It's bigger than me, and he handed the thought to 693 00:34:22,800 --> 00:34:26,080 Speaker 6: Kamala Harris, who is our nation's strongest leader when it 694 00:34:26,120 --> 00:34:28,120 Speaker 6: comes to the issue group production freedom. When you think 695 00:34:28,160 --> 00:34:31,520 Speaker 6: about what it meant for her to bring abortion storytellers 696 00:34:31,560 --> 00:34:33,400 Speaker 6: to the White House, what it meant for her to 697 00:34:33,440 --> 00:34:35,839 Speaker 6: be the first vice president or president to visit an 698 00:34:35,880 --> 00:34:38,640 Speaker 6: abortion clinic when a plan imparadheit clinic. And so the 699 00:34:38,800 --> 00:34:42,359 Speaker 6: leadership that she provides on this issue is, like you said, 700 00:34:42,360 --> 00:34:44,319 Speaker 6: it's built on a foundation of having done this work 701 00:34:44,320 --> 00:34:46,839 Speaker 6: for entire life. And it really shows us in this 702 00:34:46,920 --> 00:34:51,160 Speaker 6: moment the imperative around women's leadership and the imperative around 703 00:34:51,239 --> 00:34:54,279 Speaker 6: having leaders like the Vice president who have done this 704 00:34:54,440 --> 00:34:55,600 Speaker 6: work for a long time. 705 00:34:55,840 --> 00:34:58,440 Speaker 2: Yeah, I think that's really important for me. 706 00:34:59,000 --> 00:35:02,040 Speaker 1: When I was at the dm SEE in Chicago, what 707 00:35:02,239 --> 00:35:05,840 Speaker 1: I was struck by was that almost not all of 708 00:35:05,880 --> 00:35:08,239 Speaker 1: them because there were some older men, but most of 709 00:35:08,280 --> 00:35:11,880 Speaker 1: the volunteers who were staffing were black women. 710 00:35:12,440 --> 00:35:16,360 Speaker 6: Yeah, representation matters so much, and at this moment, you know, 711 00:35:16,360 --> 00:35:18,520 Speaker 6: when we think about the moment we're in the fight 712 00:35:18,560 --> 00:35:21,960 Speaker 6: for reproductive freedom. You can't talk about reproductive freedom in 713 00:35:21,960 --> 00:35:24,160 Speaker 6: this country without talking about that in the context of 714 00:35:24,200 --> 00:35:26,880 Speaker 6: the Black maternal health crisis. And so we know that 715 00:35:26,960 --> 00:35:29,799 Speaker 6: whether it's reproductive freedom or so many other issues, the 716 00:35:29,920 --> 00:35:35,680 Speaker 6: ramifications of policies that are adopted in Washington have different 717 00:35:35,719 --> 00:35:40,200 Speaker 6: impact and often our short impact in communities of color 718 00:35:40,440 --> 00:35:43,120 Speaker 6: for black women, and so to have women at the 719 00:35:43,160 --> 00:35:47,000 Speaker 6: table of all backgrounds, bringing that into the conversation and 720 00:35:47,160 --> 00:35:51,279 Speaker 6: leading these fights forward with these viewpoints and understanding what 721 00:35:51,360 --> 00:35:54,880 Speaker 6: it means for various communities when we pass these policies, 722 00:35:54,880 --> 00:35:57,880 Speaker 6: and particularly again when we pass policies that restrict our 723 00:35:57,960 --> 00:36:00,399 Speaker 6: rights and our freedoms, we see that those outcomes are 724 00:36:00,440 --> 00:36:03,279 Speaker 6: far worse in communities of color, and in particular for 725 00:36:03,320 --> 00:36:05,440 Speaker 6: black women, And so it matters a lot. And I 726 00:36:05,480 --> 00:36:07,640 Speaker 6: think you see then also black women have been the 727 00:36:07,680 --> 00:36:10,640 Speaker 6: drivers of democratic wins for a very long time, and 728 00:36:10,719 --> 00:36:13,960 Speaker 6: so it is also really important that we give that 729 00:36:14,320 --> 00:36:16,600 Speaker 6: the recognition that it deserves and that they deserve. 730 00:36:16,760 --> 00:36:20,360 Speaker 1: Yeah, in Georgia, can you talk to us just about 731 00:36:20,400 --> 00:36:25,560 Speaker 1: what you think? Like there is a Warnock coalition that 732 00:36:25,640 --> 00:36:28,160 Speaker 1: has come out like seventy five times to vote for 733 00:36:28,239 --> 00:36:31,680 Speaker 1: him because get to run in primaries, in generals and runoffs. 734 00:36:31,880 --> 00:36:34,480 Speaker 1: The architect of that war, Notock coalition, works for the 735 00:36:34,480 --> 00:36:37,439 Speaker 1: Harris campaign. Now do you think that they aren't going 736 00:36:37,480 --> 00:36:39,279 Speaker 1: to be able to turn out? Have you been to 737 00:36:39,360 --> 00:36:41,759 Speaker 1: Georgia and what are you seeing in Georgia. 738 00:36:41,800 --> 00:36:43,880 Speaker 6: I haven't been to Georgia in the last couple of weeks, 739 00:36:43,920 --> 00:36:48,200 Speaker 6: but I have certainly been observing the numbers. I think 740 00:36:48,239 --> 00:36:51,360 Speaker 6: we've seen that the state isn't played, and it's reflected 741 00:36:51,400 --> 00:36:55,400 Speaker 6: in the visit from the Vice President and from other surrogates. 742 00:36:55,480 --> 00:36:57,720 Speaker 6: The truth is that the Vice President has multiple paths 743 00:36:57,800 --> 00:37:00,680 Speaker 6: to two seventy. That wasn't true several months ago. It 744 00:37:00,760 --> 00:37:03,719 Speaker 6: is true now, and it is because of the type 745 00:37:03,760 --> 00:37:05,920 Speaker 6: of candidate that she is in the leadership that she provides, 746 00:37:06,160 --> 00:37:09,319 Speaker 6: and so Georgia's and play North Carolina's and play the 747 00:37:09,320 --> 00:37:11,160 Speaker 6: Blue Wall is of course going to be very important. 748 00:37:11,480 --> 00:37:14,120 Speaker 6: The fact that there are these multiple paths too two 749 00:37:14,120 --> 00:37:17,480 Speaker 6: seventy is so critical because we know that these races 750 00:37:17,520 --> 00:37:20,600 Speaker 6: are decided by often, you know, a handful of votes 751 00:37:20,600 --> 00:37:21,160 Speaker 6: for precinct. 752 00:37:21,560 --> 00:37:24,120 Speaker 2: Yeah, you're going to go next to Wisconsin. 753 00:37:24,760 --> 00:37:27,200 Speaker 6: Yep, So I do okare with Counsin tomorrow and then 754 00:37:27,239 --> 00:37:31,040 Speaker 6: I head to Maryland. Emily has been involved with the 755 00:37:31,160 --> 00:37:34,120 Speaker 6: effort to elect to Angela Alsobrooks the United States Senate 756 00:37:34,200 --> 00:37:36,759 Speaker 6: from the very beginning of her campaign, and so I'm 757 00:37:36,760 --> 00:37:39,000 Speaker 6: really excited to spend the last two days of the 758 00:37:39,040 --> 00:37:41,799 Speaker 6: election campaigning with her. We were heavily involved in the 759 00:37:41,840 --> 00:37:45,000 Speaker 6: primary and then again in this general election where she's 760 00:37:45,080 --> 00:37:49,320 Speaker 6: running against a former Republican governor who had been pretending 761 00:37:49,360 --> 00:37:51,279 Speaker 6: that he didn't like Donald Trump, and then we just 762 00:37:51,280 --> 00:37:54,320 Speaker 6: found out he's bragging about an endorsement to donors in private, 763 00:37:54,400 --> 00:37:56,640 Speaker 6: and so we know what's at stake theirs. I'll be 764 00:37:56,680 --> 00:37:59,279 Speaker 6: finishing out the election campaigning with Angela and I'm really 765 00:37:59,280 --> 00:38:02,520 Speaker 6: excited about her election. And you know you and I 766 00:38:02,719 --> 00:38:04,800 Speaker 6: ha he talked about this when we saw each other recently. 767 00:38:04,920 --> 00:38:06,840 Speaker 6: We have the opportunity in this election to double the 768 00:38:06,920 --> 00:38:09,200 Speaker 6: number of Black women in the United States Senate. So 769 00:38:09,200 --> 00:38:11,800 Speaker 6: with angel also broke through the Prince George's county executive 770 00:38:11,800 --> 00:38:15,080 Speaker 6: in Maryland, and Lisa Blunt Rochester, who's a congresswoman from 771 00:38:15,080 --> 00:38:18,600 Speaker 6: Delaware who's also someone we've supported throughout her career. They 772 00:38:18,600 --> 00:38:22,280 Speaker 6: are both well positioned to win their Senate races. Angela's 773 00:38:22,400 --> 00:38:25,399 Speaker 6: is still competitive, but we feel good about her race 774 00:38:25,520 --> 00:38:27,960 Speaker 6: and we can in this one election cycle double the 775 00:38:28,000 --> 00:38:29,920 Speaker 6: number of Black women and Senate now two people. 776 00:38:32,160 --> 00:38:34,680 Speaker 2: We're not going to forty here, but it's progress. 777 00:38:34,840 --> 00:38:37,280 Speaker 6: That's not enough, that's not an acceptable number, but it's progress. 778 00:38:37,520 --> 00:38:40,640 Speaker 6: And like the Vice President, it shows that when we 779 00:38:40,880 --> 00:38:43,920 Speaker 6: invest in and support these women candidates who are just 780 00:38:43,920 --> 00:38:47,279 Speaker 6: incredible leaders that we can't make progress and we can 781 00:38:47,320 --> 00:38:49,600 Speaker 6: do big things. And so the opportunity we have in 782 00:38:49,600 --> 00:38:52,359 Speaker 6: front of us in these next four days is really incredible. 783 00:38:52,520 --> 00:38:54,560 Speaker 6: The threat is real, the stakes are high, but the 784 00:38:54,600 --> 00:38:55,719 Speaker 6: opportunity is there too. 785 00:38:56,000 --> 00:38:57,680 Speaker 2: Yeah, I think that's so important. 786 00:38:57,719 --> 00:39:00,600 Speaker 1: I really appreciate you taking the time, I'm on your 787 00:39:00,600 --> 00:39:04,439 Speaker 1: way to Claire, Wisconsin to come on and talk to us. 788 00:39:04,480 --> 00:39:06,920 Speaker 6: Really, thank you, Thank you for having me. 789 00:39:08,960 --> 00:39:11,440 Speaker 4: A moment fuck. 790 00:39:12,960 --> 00:39:17,440 Speaker 1: Rick Wellsen Molli Jong Fast, do you have a moment 791 00:39:17,440 --> 00:39:17,960 Speaker 1: of fuckery? 792 00:39:18,040 --> 00:39:18,359 Speaker 4: All right? 793 00:39:18,400 --> 00:39:22,080 Speaker 5: My moment of fuckery is the absolutely astounding degree to 794 00:39:22,080 --> 00:39:24,120 Speaker 5: which Elon Musk the richest man in the world, and 795 00:39:24,200 --> 00:39:27,720 Speaker 5: some people think he's a genius of some kind. How badly, 796 00:39:27,880 --> 00:39:31,640 Speaker 5: a group of consultants from Ron De Santis's world took 797 00:39:31,880 --> 00:39:35,319 Speaker 5: Elon Musk out to dinner, liquered him up, took him 798 00:39:35,320 --> 00:39:38,560 Speaker 5: out behind the barn, spanked him, took his wallet, left 799 00:39:38,600 --> 00:39:40,960 Speaker 5: him buck naked at the bus stop. These people have 800 00:39:41,040 --> 00:39:44,760 Speaker 5: fucked him for one hundred million dollars. One hundred million 801 00:39:44,960 --> 00:39:49,080 Speaker 5: or more dollars. This is the most astounding political scam 802 00:39:49,280 --> 00:39:52,400 Speaker 5: in the history of mankind. Elon has been sold. 803 00:39:52,120 --> 00:39:54,440 Speaker 4: A pig in a poke a bill of goods. 804 00:39:54,840 --> 00:39:58,000 Speaker 5: He has bought into the idea that these people were 805 00:39:58,040 --> 00:40:00,800 Speaker 5: actually with their hobo army out knocked looking on doors. 806 00:40:01,120 --> 00:40:03,080 Speaker 4: They weren't. This is I mean. 807 00:40:03,160 --> 00:40:06,360 Speaker 5: If Elon doesn't sue these fuckers for all that they're 808 00:40:06,440 --> 00:40:08,799 Speaker 5: worth and take back the one hundred million plus he's 809 00:40:08,840 --> 00:40:11,920 Speaker 5: paid them, he is a damn fool. That is my 810 00:40:12,000 --> 00:40:12,800 Speaker 5: moment of fuckery. 811 00:40:13,040 --> 00:40:16,719 Speaker 1: My moment of fuckery is Donald trump fulating a microphone. 812 00:40:16,800 --> 00:40:18,680 Speaker 1: You may not have seen this video if you're not 813 00:40:18,880 --> 00:40:22,120 Speaker 1: very online. On Friday, he was on a rally, his 814 00:40:22,160 --> 00:40:27,200 Speaker 1: microphone stopped working. He pantomimed fallatio on the microphone. I 815 00:40:27,239 --> 00:40:29,160 Speaker 1: am a person who grew up in New York City 816 00:40:29,360 --> 00:40:32,920 Speaker 1: in the eighties. My mother wrote erotic novels, and I 817 00:40:33,000 --> 00:40:36,200 Speaker 1: have never seen anything like that in my life. Like, 818 00:40:36,320 --> 00:40:40,280 Speaker 1: I literally have never seen a person pretend to fulate 819 00:40:40,360 --> 00:40:43,600 Speaker 1: a microphone, let alone a presidential candidate. 820 00:40:43,800 --> 00:40:45,440 Speaker 2: It is an image I kind of get out of 821 00:40:45,440 --> 00:40:48,439 Speaker 2: my head. It was shocking. A lot of mainstream media 822 00:40:48,520 --> 00:40:48,680 Speaker 2: is not. 823 00:40:48,760 --> 00:40:52,240 Speaker 1: Covering it because it's so disgusting, but there are endless 824 00:40:52,360 --> 00:40:53,280 Speaker 1: videos of it. 825 00:40:53,320 --> 00:40:55,160 Speaker 4: And it all deserves a soundtrack of its own that 826 00:40:55,239 --> 00:40:55,640 Speaker 4: goes like this. 827 00:41:00,040 --> 00:41:04,160 Speaker 1: Oh, theyre always elevating the discourse. 828 00:41:04,280 --> 00:41:07,759 Speaker 4: Rick Wilson, I am here to make the discourse sing. 829 00:41:08,200 --> 00:41:09,440 Speaker 2: Yes, exactly. 830 00:41:10,280 --> 00:41:14,640 Speaker 1: That's it for this episode of Fast Politics. Tune in 831 00:41:14,960 --> 00:41:20,400 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 832 00:41:20,480 --> 00:41:24,799 Speaker 1: minds and politics make sense of all this chaos. If 833 00:41:24,800 --> 00:41:27,880 Speaker 1: you enjoy this podcast, please send it to a friend 834 00:41:28,320 --> 00:41:29,920 Speaker 1: and keep the conversation going. 835 00:41:30,400 --> 00:41:31,520 Speaker 2: Thanks for listening.