1 00:00:00,440 --> 00:00:15,239 Speaker 1: Hey everyone, it's Sophia. Welcome to work in Progress. Hi 2 00:00:15,360 --> 00:00:17,720 Speaker 1: rips Marty's. I hope you're all taking care of yourselves, 3 00:00:18,160 --> 00:00:21,520 Speaker 1: you know, mentally, physically, emotionally. I'm trying my best over here. 4 00:00:21,720 --> 00:00:24,880 Speaker 1: Tomorrow is election day here in America, and today we 5 00:00:24,920 --> 00:00:28,000 Speaker 1: are joined for a special episode by one of the 6 00:00:28,040 --> 00:00:31,840 Speaker 1: most brilliant journalists I know, who's going to give us 7 00:00:32,200 --> 00:00:36,800 Speaker 1: her perspective from inside the newsroom. Today's guest is Caitlin Collins. 8 00:00:37,240 --> 00:00:39,800 Speaker 1: She is an anchor on CNN. She used to be 9 00:00:39,800 --> 00:00:42,640 Speaker 1: the co anchor of CNN This Morning and now hosts 10 00:00:42,680 --> 00:00:46,159 Speaker 1: the show The Source. She started as a political reporter 11 00:00:46,240 --> 00:00:49,400 Speaker 1: at CNN in twenty seventeen, covering the White House, and 12 00:00:49,479 --> 00:00:52,560 Speaker 1: within just a few years she became the youngest chief 13 00:00:52,600 --> 00:00:57,200 Speaker 1: White House correspondent in CNN's history. On her show The Source, 14 00:00:57,320 --> 00:01:00,760 Speaker 1: Collins chases the facts, asks the tough question, and connects 15 00:01:00,760 --> 00:01:03,320 Speaker 1: with her sources so that viewers can get the very latest. 16 00:01:03,400 --> 00:01:06,760 Speaker 1: In prime time, she manages to secure exclusive interviews with 17 00:01:06,800 --> 00:01:10,679 Speaker 1: political power players, including her recent attention grabbing interviews with 18 00:01:11,080 --> 00:01:15,440 Speaker 1: former Attorney General William Barr, Israeli Prime Minister Benjamin Netanyah, 19 00:01:15,440 --> 00:01:20,840 Speaker 1: who Alabama Senator Tommy Tuberville, British Prime Minister Rishi Sunak, 20 00:01:21,200 --> 00:01:25,080 Speaker 1: GOP presidential candidates, and more. In May of twenty twenty three, 21 00:01:25,200 --> 00:01:29,399 Speaker 1: cons also moderated CNN's Live Republican Presidential town hall with 22 00:01:29,480 --> 00:01:33,360 Speaker 1: former President Trump, during which she pressed him on some 23 00:01:33,480 --> 00:01:35,399 Speaker 1: things he apparently didn't want to be pressed on, and 24 00:01:35,400 --> 00:01:38,120 Speaker 1: he called her a nasty woman. Today, I'm going to 25 00:01:38,120 --> 00:01:40,520 Speaker 1: ask her how that felt, ask her what she thinks 26 00:01:40,680 --> 00:01:43,760 Speaker 1: is going to happen tomorrow and this week, and you know, 27 00:01:44,200 --> 00:01:46,520 Speaker 1: ask her how she's staying sane in an election season. 28 00:01:46,720 --> 00:01:47,480 Speaker 1: Let's get to it. 29 00:01:58,360 --> 00:02:01,440 Speaker 2: I'm so excited to be here, to be doing this too. 30 00:02:01,520 --> 00:02:05,280 Speaker 3: I feel like people love this podcast so much and 31 00:02:05,320 --> 00:02:09,080 Speaker 3: the conversations are just so good, and as someone who 32 00:02:09,120 --> 00:02:13,079 Speaker 3: always tries to have like genuine, fun, interesting conversations, yeah, 33 00:02:13,120 --> 00:02:14,200 Speaker 3: you should be very proud of it. 34 00:02:14,520 --> 00:02:16,760 Speaker 1: Well, I am so proud, and that really means a lot. 35 00:02:16,800 --> 00:02:19,120 Speaker 1: And I guess in this moment I should thank our 36 00:02:19,200 --> 00:02:21,400 Speaker 1: listeners that are here with us today because if they 37 00:02:21,400 --> 00:02:23,840 Speaker 1: didn't show up, we wouldn't be able to do this. 38 00:02:24,040 --> 00:02:27,040 Speaker 1: So thank you for being here. Thank you to everyone 39 00:02:27,080 --> 00:02:30,680 Speaker 1: at home. We're taping this. Obviously a little in advance. 40 00:02:30,680 --> 00:02:32,800 Speaker 1: It's Friday, but this is going to air on Monday, 41 00:02:33,520 --> 00:02:36,160 Speaker 1: which makes my breath catch in my throat. I'm sure 42 00:02:36,200 --> 00:02:39,160 Speaker 1: it does for you as well. You are so steeped 43 00:02:39,280 --> 00:02:41,640 Speaker 1: in the news all of the time because of your job. 44 00:02:41,639 --> 00:02:44,880 Speaker 1: But obviously we are really we're down to the wire 45 00:02:44,919 --> 00:02:50,080 Speaker 1: on the election, like tomorrow's our big day, although thank god, 46 00:02:50,120 --> 00:02:52,920 Speaker 1: we've seen record numbers of early voting across the country, 47 00:02:52,960 --> 00:02:55,880 Speaker 1: particularly from women, So shout out to the ladies. Can 48 00:02:55,960 --> 00:02:59,320 Speaker 1: you give us a little bit of your newsroom perspective 49 00:02:59,400 --> 00:03:02,320 Speaker 1: and talk about what you're seeing as some of the 50 00:03:02,400 --> 00:03:05,400 Speaker 1: key trends and the demographic shifts that we're seeing in 51 00:03:05,440 --> 00:03:08,040 Speaker 1: twenty twenty four, Like from where you sit, is this 52 00:03:08,280 --> 00:03:11,080 Speaker 1: markedly different from the twenty twenty and twenty sixteen election? 53 00:03:11,880 --> 00:03:14,760 Speaker 3: I think it's a lot different because, for one, the 54 00:03:14,760 --> 00:03:16,680 Speaker 3: thing that I've heard from a lot of people I've 55 00:03:16,720 --> 00:03:19,920 Speaker 3: spoken away that both on the Trump campaign sides and 56 00:03:20,080 --> 00:03:23,920 Speaker 3: the Harris campaign side is don't look at twenty twenty 57 00:03:24,120 --> 00:03:27,000 Speaker 3: is like an indication that you're kind of measuring what's 58 00:03:27,000 --> 00:03:29,840 Speaker 3: happening right now up against because twenty twenty was such 59 00:03:29,840 --> 00:03:33,960 Speaker 3: an anomaly with obviously the pandemic and how differently people 60 00:03:33,960 --> 00:03:37,720 Speaker 3: were voting, and even the polling, Like I heard a 61 00:03:37,760 --> 00:03:41,880 Speaker 3: really smart polster, Democratic pollsters say today their polling was 62 00:03:42,160 --> 00:03:45,880 Speaker 3: different in twenty twenty because more Democrats were at home, 63 00:03:46,360 --> 00:03:48,480 Speaker 3: Like obviously everyone was at home during COVID, so more 64 00:03:48,520 --> 00:03:50,840 Speaker 3: people were answering the phone, which I thought was really 65 00:03:50,880 --> 00:03:55,280 Speaker 3: interesting actually, And so I think like maybe twenty twenty 66 00:03:55,280 --> 00:03:57,600 Speaker 3: two is a better thing to look at the midterms there, 67 00:03:57,640 --> 00:03:59,920 Speaker 3: which obviously did not go the way everyone thought. 68 00:03:59,800 --> 00:04:00,600 Speaker 2: They were going to go. 69 00:04:00,640 --> 00:04:04,640 Speaker 3: They were predicting this huge red wave that did not materialize. 70 00:04:05,120 --> 00:04:07,240 Speaker 3: And so in the sense of like looking at that, 71 00:04:08,480 --> 00:04:12,040 Speaker 3: I think what I'm most interested in on Tuesday is 72 00:04:12,240 --> 00:04:16,160 Speaker 3: what the early voting has meant in terms of Republicans. One, 73 00:04:16,360 --> 00:04:20,560 Speaker 3: because Republicans did not vote really early in twenty twenty 74 00:04:21,000 --> 00:04:23,440 Speaker 3: to a great extent because Trump was basically saying you 75 00:04:23,440 --> 00:04:26,600 Speaker 3: can't trust it and don't do it. And now they 76 00:04:26,640 --> 00:04:29,560 Speaker 3: realize how much that hurt them, and so they've totally shifted. 77 00:04:29,680 --> 00:04:33,640 Speaker 3: So a lot of Republicans are voting early, and you know, 78 00:04:33,800 --> 00:04:36,800 Speaker 3: does that cannibalize though their election day vote, which is 79 00:04:36,839 --> 00:04:38,400 Speaker 3: typically when the at the people come in and vote 80 00:04:38,400 --> 00:04:41,120 Speaker 3: in person, So I think that will be different. And 81 00:04:41,160 --> 00:04:43,200 Speaker 3: then I'm watching the gender gap. I think the gender 82 00:04:43,240 --> 00:04:47,160 Speaker 3: gap could be decisive in terms of the Trump campaign 83 00:04:47,200 --> 00:04:51,120 Speaker 3: is very clearly making a play for young men and 84 00:04:51,160 --> 00:04:54,080 Speaker 3: the Harris campaign is making a huge play for women. 85 00:04:54,600 --> 00:04:58,240 Speaker 3: And so is that a game changer on Tuesday? Is 86 00:04:58,680 --> 00:05:01,520 Speaker 3: the big question questions I have looking at it. 87 00:05:02,880 --> 00:05:06,320 Speaker 1: And I know there's a lot of objectivity, you know, 88 00:05:06,400 --> 00:05:09,839 Speaker 1: required as journalists, you're not supposed to really bring your 89 00:05:09,880 --> 00:05:12,440 Speaker 1: opinions to the floor. So if you don't want to 90 00:05:12,440 --> 00:05:14,880 Speaker 1: necessarily bring them to the podcast, you just let me know. 91 00:05:14,960 --> 00:05:19,080 Speaker 1: But I guess it's particularly frightening to me when we 92 00:05:19,160 --> 00:05:23,720 Speaker 1: talk about the gender gap that the group of young men, 93 00:05:23,760 --> 00:05:26,000 Speaker 1: as you said, that the Trump campaign, the Trump Advance 94 00:05:26,040 --> 00:05:28,960 Speaker 1: campaign is going after, they're going after in this very 95 00:05:29,000 --> 00:05:33,560 Speaker 1: Andrew tatified way. They're going after men with really deeply 96 00:05:33,640 --> 00:05:37,960 Speaker 1: misogynistic messaging, the way they're talking about women, the way 97 00:05:37,960 --> 00:05:41,919 Speaker 1: they're talking about our lives, our autonomy, our economic value. 98 00:05:42,000 --> 00:05:44,799 Speaker 1: I mean, the fact that you've got the Vice President 99 00:05:44,800 --> 00:05:46,920 Speaker 1: of the United States of America and the former First 100 00:05:46,960 --> 00:05:50,679 Speaker 1: Lady Michelle Obama having to get on stage and beg 101 00:05:50,800 --> 00:05:55,039 Speaker 1: men not to let us die in the year twenty 102 00:05:55,080 --> 00:06:00,880 Speaker 1: twenty four, Is it's so shocking to me, even though 103 00:06:00,920 --> 00:06:03,760 Speaker 1: given what trump Ism is and what McConnell's been building 104 00:06:03,800 --> 00:06:07,800 Speaker 1: the GOP into, it doesn't feel surprising, sadly, is it? 105 00:06:07,880 --> 00:06:11,800 Speaker 1: Is it surreal for you to look at how these 106 00:06:11,839 --> 00:06:16,200 Speaker 1: messages work from from inside of you know, a news organization. 107 00:06:16,839 --> 00:06:20,159 Speaker 3: Yeah, well, it's always just you know, it's like, let's 108 00:06:20,160 --> 00:06:22,719 Speaker 3: see if this, you know, like bold strategy, cotton, Let's 109 00:06:22,720 --> 00:06:25,640 Speaker 3: see if it pays off. Because I think, as someone 110 00:06:25,720 --> 00:06:30,120 Speaker 3: who you know has reported, especially since Rover Wade was 111 00:06:30,160 --> 00:06:34,920 Speaker 3: overturned with the Dobbs decision, how women have shown up 112 00:06:35,000 --> 00:06:37,520 Speaker 3: has been amazing to watch in the sense of just 113 00:06:38,600 --> 00:06:41,799 Speaker 3: it's like nothing you've ever seen, and no political strategists 114 00:06:41,800 --> 00:06:44,320 Speaker 3: could have predicted it, and they didn't in a lot 115 00:06:44,320 --> 00:06:47,720 Speaker 3: of situations like I'm thinking of, you know, in Ohio 116 00:06:47,839 --> 00:06:51,480 Speaker 3: in twenty twenty two, where you know, they had an 117 00:06:51,520 --> 00:06:55,679 Speaker 3: abortion measure on the ballot, and we saw just how 118 00:06:56,440 --> 00:06:59,880 Speaker 3: there were voters who were women and Republicans that voted 119 00:07:00,120 --> 00:07:02,880 Speaker 3: for the Republican candidate but voted also for this measure 120 00:07:03,360 --> 00:07:05,520 Speaker 3: to protect the right to an abortion and put it 121 00:07:05,520 --> 00:07:10,120 Speaker 3: in the state's Constitution. That was fascinating to me looking 122 00:07:10,120 --> 00:07:12,280 Speaker 3: into that and what that looked like. That was more recently, 123 00:07:12,320 --> 00:07:14,000 Speaker 3: but in the other ones we saw on twenty twenty two, 124 00:07:15,000 --> 00:07:18,440 Speaker 3: and so seeing all of those measures since it was 125 00:07:18,480 --> 00:07:21,000 Speaker 3: a return has been interesting. I'm curious to see if 126 00:07:21,000 --> 00:07:25,120 Speaker 3: it's still that energizing mobilization that we'll see on Tuesday. 127 00:07:25,160 --> 00:07:25,440 Speaker 2: Does it. 128 00:07:26,480 --> 00:07:28,800 Speaker 3: I've heard from Republicans who think, like in Arizona where 129 00:07:28,800 --> 00:07:31,600 Speaker 3: it's on the ballot, that people will still vote for 130 00:07:31,680 --> 00:07:34,560 Speaker 3: Trump but also vote for the abortion measure, which is 131 00:07:34,600 --> 00:07:36,720 Speaker 3: interesting to me. I don't know if that's true, Like 132 00:07:36,760 --> 00:07:39,960 Speaker 3: maybe it's just bluster. So I'll be looking at those numbers. 133 00:07:40,960 --> 00:07:44,920 Speaker 3: But I think just overall on the issue of the 134 00:07:44,960 --> 00:07:47,280 Speaker 3: strategy that you alluded to there, like it's like the 135 00:07:47,360 --> 00:07:51,240 Speaker 3: Joe Rogan kind of podcast, Like they're spending hours doing that. 136 00:07:51,520 --> 00:07:54,040 Speaker 3: To take three hours to do a podcast in the 137 00:07:54,040 --> 00:07:57,240 Speaker 3: final week of a presidential election is a big That's 138 00:07:57,280 --> 00:07:58,920 Speaker 3: a sign that they think that is going to be 139 00:07:58,960 --> 00:08:01,640 Speaker 3: their strategy. And I was at the Madison Square Garden 140 00:08:01,720 --> 00:08:05,720 Speaker 3: rally on Sunday that was like this eight hour you know, 141 00:08:06,480 --> 00:08:09,120 Speaker 3: trefecta that started off with that comedian who made the 142 00:08:09,160 --> 00:08:11,080 Speaker 3: joke about Puerto Rico that now has gotten them so 143 00:08:11,200 --> 00:08:14,600 Speaker 3: much backlash, and I remember hearing it, and I've been 144 00:08:14,640 --> 00:08:16,840 Speaker 3: to dozens of Trump rallies, reported from a lot of them, 145 00:08:17,360 --> 00:08:19,360 Speaker 3: and I was kind of you know, it's kind of 146 00:08:19,360 --> 00:08:22,600 Speaker 3: a moment where you're like when you're reporting on news, 147 00:08:22,600 --> 00:08:24,720 Speaker 3: you don't always know how big it is in the moment, 148 00:08:25,000 --> 00:08:28,040 Speaker 3: like you can feel something is weird, or a lot 149 00:08:28,080 --> 00:08:30,760 Speaker 3: of us were looking around, you know, wondering why there 150 00:08:30,800 --> 00:08:33,400 Speaker 3: was a comedian on stage at a political rally anyway, 151 00:08:34,040 --> 00:08:37,440 Speaker 3: and to see how it's blown up since then. But 152 00:08:37,480 --> 00:08:39,080 Speaker 3: it is part of their strategy. I mean, they're just 153 00:08:39,120 --> 00:08:43,720 Speaker 3: going all out for the young male vote, mostly white, 154 00:08:44,760 --> 00:08:49,800 Speaker 3: mostly non college educated, and the question is is that 155 00:08:50,360 --> 00:08:52,719 Speaker 3: a demographic that can deliver the White House for him? 156 00:08:52,720 --> 00:08:54,280 Speaker 2: And the answer might be yes. 157 00:08:54,400 --> 00:08:57,240 Speaker 3: Their strategy might pay off, but if it doesn't, I 158 00:08:57,240 --> 00:09:00,080 Speaker 3: do think it'll be a long hard look for Republicans 159 00:09:00,120 --> 00:09:04,040 Speaker 3: into you know, their messaging to women voters, which I 160 00:09:04,040 --> 00:09:06,120 Speaker 3: think should not be not been. 161 00:09:06,520 --> 00:09:09,520 Speaker 2: You know, it hasn't resonated from what we've seen. 162 00:09:09,640 --> 00:09:12,480 Speaker 1: Well, because you know, they want to end no fault divorce, 163 00:09:12,640 --> 00:09:15,840 Speaker 1: which dropped the death rate of women substantially in America, 164 00:09:15,920 --> 00:09:18,640 Speaker 1: women were able to leave abusive marriages, and they think 165 00:09:18,679 --> 00:09:21,079 Speaker 1: that should end. They don't think we should have a 166 00:09:21,200 --> 00:09:23,400 Speaker 1: right to body the autonomy. And just this week we've 167 00:09:23,400 --> 00:09:28,840 Speaker 1: seen two women die in Texas in hospitals of completely 168 00:09:28,880 --> 00:09:34,000 Speaker 1: treatable and you know, preventable reasons. It's it's pretty hard 169 00:09:34,040 --> 00:09:36,360 Speaker 1: to argue that you're the party of family values when 170 00:09:36,360 --> 00:09:38,760 Speaker 1: you want to defund education and you don't think kids 171 00:09:38,760 --> 00:09:42,120 Speaker 1: should get to eat in schools. You know, Timwall's one 172 00:09:42,160 --> 00:09:44,120 Speaker 1: of the things I love about him on the campaign trailers, 173 00:09:44,160 --> 00:09:46,040 Speaker 1: He's like, you think I'm a communist because I want 174 00:09:46,040 --> 00:09:47,960 Speaker 1: to make sure kids in Minnesota have lunch. 175 00:09:48,160 --> 00:09:51,920 Speaker 3: Like really, yeah, And my mom's a public school teacher 176 00:09:52,200 --> 00:09:55,480 Speaker 3: for fourth grade, and that really makes a difference actually 177 00:09:55,480 --> 00:10:00,480 Speaker 3: for families. I come from not a wealth the area 178 00:10:00,600 --> 00:10:03,480 Speaker 3: in Alabama, a small town about thirty eight thousand people, 179 00:10:03,640 --> 00:10:06,360 Speaker 3: and school lunches are like, you know, it's a real 180 00:10:06,360 --> 00:10:08,480 Speaker 3: issue in the summer because that's sometimes the only meals 181 00:10:08,520 --> 00:10:10,840 Speaker 3: that those kids get that are consistent that they know 182 00:10:10,880 --> 00:10:13,559 Speaker 3: they're going to get. So on that note, I think 183 00:10:13,559 --> 00:10:15,360 Speaker 3: they have a powerful one. But on the women thing, 184 00:10:15,559 --> 00:10:18,520 Speaker 3: you know, I also have to remember j d Vance 185 00:10:18,600 --> 00:10:20,800 Speaker 3: just made the comment when he did Joe Rogan's podcast 186 00:10:21,240 --> 00:10:25,160 Speaker 3: that he was saying that, you know, states should decide abortions. 187 00:10:25,200 --> 00:10:28,160 Speaker 3: He's previously, you know, advocated for a national abortion band. 188 00:10:28,559 --> 00:10:31,200 Speaker 3: But he said that he has seen women who are 189 00:10:31,440 --> 00:10:37,080 Speaker 3: making cakes and celebrating their abortions, and even Joe Rogan said, 190 00:10:37,640 --> 00:10:41,240 Speaker 3: I haven't, I haven't seen that, like women's cell Like obviously, 191 00:10:41,360 --> 00:10:44,840 Speaker 3: having an abortion is a deeply personal decision, often a 192 00:10:44,880 --> 00:10:48,560 Speaker 3: painful one, and you don't know why someone's making that decision. 193 00:10:49,520 --> 00:10:53,240 Speaker 3: And I, as a young thirty year old woman, have 194 00:10:53,320 --> 00:10:55,720 Speaker 3: not seen any I don't know anyone who's you know, yeah, 195 00:10:56,320 --> 00:11:00,360 Speaker 3: celebrating my abortion. And so uh, it was just like 196 00:11:00,440 --> 00:11:04,200 Speaker 3: a very tone deaf comment. As they're still trying to 197 00:11:04,240 --> 00:11:05,000 Speaker 3: appeal to women. 198 00:11:05,040 --> 00:11:06,200 Speaker 2: That was striking to me. 199 00:11:07,000 --> 00:11:09,040 Speaker 1: Yeah, it's all pretty shocking to me. I mean, it 200 00:11:09,080 --> 00:11:11,880 Speaker 1: was shocking to me that that, you know, quote unquote 201 00:11:11,920 --> 00:11:16,000 Speaker 1: comedian also made a joke that he thinks Travis Kelcey 202 00:11:16,040 --> 00:11:19,000 Speaker 1: will probably be the next O J. Simpson and I'm like, 203 00:11:19,080 --> 00:11:21,760 Speaker 1: I'm sorry, are you suggesting that Travis Kelcey should un 204 00:11:21,800 --> 00:11:26,800 Speaker 1: alive his girlfriend because she's a pop star who's voting 205 00:11:27,280 --> 00:11:30,640 Speaker 1: for your opponent, you know, and then Donald Trump's on 206 00:11:30,640 --> 00:11:33,560 Speaker 1: the news calling for Liz Chaney to be executed by 207 00:11:33,559 --> 00:11:36,840 Speaker 1: a firing squad. I mean, it's like, I don't really 208 00:11:36,880 --> 00:11:38,840 Speaker 1: know how much more egregious you need to be to 209 00:11:38,880 --> 00:11:40,840 Speaker 1: the fifty one percent of the population that you and 210 00:11:40,880 --> 00:11:44,480 Speaker 1: I fall under. And clearly we know there's a there's 211 00:11:44,520 --> 00:11:47,400 Speaker 1: a gender gap, as there should be, and I wish 212 00:11:47,440 --> 00:11:50,800 Speaker 1: more men were appalled by the messaging here, But I 213 00:11:50,840 --> 00:11:53,559 Speaker 1: also know that the youth vote is a really key 214 00:11:53,600 --> 00:11:59,679 Speaker 1: demographic in the election. They're incredibly powerful in the political landscape. Historically, 215 00:11:59,720 --> 00:12:02,559 Speaker 1: young people don't vote in the ways that older people do, 216 00:12:03,120 --> 00:12:05,920 Speaker 1: and I think it's been really helpful to remind young people, 217 00:12:05,960 --> 00:12:07,720 Speaker 1: like what you want your grandparents to make all your 218 00:12:07,720 --> 00:12:10,280 Speaker 1: decisions for you? Like, what are we doing? What are 219 00:12:10,360 --> 00:12:13,720 Speaker 1: you seeing about the youth voter turnout this year? What 220 00:12:13,720 --> 00:12:14,840 Speaker 1: do those numbers look like? 221 00:12:15,200 --> 00:12:18,600 Speaker 3: So I'm obsessed with this and we're talking about it tonight. 222 00:12:18,600 --> 00:12:23,280 Speaker 3: Actually because they're both targeting different, you know, demographics of 223 00:12:23,320 --> 00:12:25,920 Speaker 3: the youth vote, but they're both going after them because 224 00:12:25,960 --> 00:12:27,960 Speaker 3: they are hoping that it'll be different and that they 225 00:12:28,000 --> 00:12:31,000 Speaker 3: will come out in large numbers. We actually saw a 226 00:12:31,080 --> 00:12:33,280 Speaker 3: higher turnout from the youth vote in twenty twenty than 227 00:12:33,280 --> 00:12:35,920 Speaker 3: we had seen in a while. But the question it 228 00:12:36,160 --> 00:12:38,199 Speaker 3: feels like one of those moments where it's like it's 229 00:12:38,200 --> 00:12:40,040 Speaker 3: like with Texas, like people always like is it gonna 230 00:12:40,040 --> 00:12:42,760 Speaker 3: turn blue or not? We're always watching it, and it's 231 00:12:42,800 --> 00:12:44,800 Speaker 3: like Lucy the Football, like it never does. You watch 232 00:12:44,880 --> 00:12:48,079 Speaker 3: Democrats get so excited and then it doesn't actually materialize. 233 00:12:48,160 --> 00:12:50,120 Speaker 3: That could actually also happen on Tuesdays, so we'll be 234 00:12:50,120 --> 00:12:53,160 Speaker 3: watching that fort the Senate race. But with the youth vote, 235 00:12:53,880 --> 00:12:57,680 Speaker 3: it always feels like there's such mobilization and like they're 236 00:12:57,720 --> 00:12:59,480 Speaker 3: there and you see these get off the vote efforts 237 00:12:59,520 --> 00:13:02,280 Speaker 3: and you see what's happening on Instagram and TikTok and whatnot, 238 00:13:02,679 --> 00:13:04,920 Speaker 3: and then it doesn't show up because they're low propensity 239 00:13:05,000 --> 00:13:07,000 Speaker 3: voters and they don't really show up on election day. 240 00:13:07,040 --> 00:13:09,640 Speaker 3: They just they're not driven to go to the polls. 241 00:13:09,760 --> 00:13:12,320 Speaker 3: And so with the Trump team, this is fascinating because 242 00:13:12,320 --> 00:13:15,240 Speaker 3: they're counting on those young men to show up on Tuesday. 243 00:13:15,760 --> 00:13:18,120 Speaker 3: Whether or not they do could could alter the election. 244 00:13:18,679 --> 00:13:20,760 Speaker 3: But then with the Harris campaign, you know, I noticed 245 00:13:20,800 --> 00:13:23,560 Speaker 3: one thing that's been going around on TikTok that you 246 00:13:23,679 --> 00:13:25,480 Speaker 3: just had to remember how young these voters are a 247 00:13:25,520 --> 00:13:27,880 Speaker 3: lot of them. This is their first election and eight 248 00:13:27,960 --> 00:13:30,520 Speaker 3: years ago they were like in junior high or in 249 00:13:30,600 --> 00:13:34,960 Speaker 3: high school. And the access Hollywood tape is actually having 250 00:13:35,040 --> 00:13:39,320 Speaker 3: a resurgence on TikTok right now by all these young 251 00:13:39,400 --> 00:13:43,360 Speaker 3: voters who are seeing it and have never heard it, 252 00:13:43,760 --> 00:13:46,880 Speaker 3: which to me is stunning because like everyone else has 253 00:13:46,920 --> 00:13:49,040 Speaker 3: it like memorized because it was such a shocking moment 254 00:13:49,160 --> 00:13:51,800 Speaker 3: before the election in twenty sixteen. It's all these young 255 00:13:51,880 --> 00:13:54,440 Speaker 3: voters who'd never like you just have to remember they 256 00:13:55,720 --> 00:13:58,800 Speaker 3: were young when this happened. They were like thirteen, they 257 00:13:58,800 --> 00:14:01,480 Speaker 3: were paying attention to the new and so sure, you know, 258 00:14:01,760 --> 00:14:05,360 Speaker 3: how does that you know, shift their opinion if at all? 259 00:14:06,559 --> 00:14:08,000 Speaker 1: That's really interesting? 260 00:14:08,520 --> 00:14:10,360 Speaker 2: Is that amazing it is? 261 00:14:10,840 --> 00:14:12,800 Speaker 1: And now a word from our sponsors who make this 262 00:14:12,840 --> 00:14:25,600 Speaker 1: show possible. Do you feel like you have a really 263 00:14:25,640 --> 00:14:28,640 Speaker 1: good perspective on what the top issues are for the 264 00:14:28,680 --> 00:14:29,280 Speaker 1: youth vote. 265 00:14:29,720 --> 00:14:32,240 Speaker 2: I think the youth vote is it's different. 266 00:14:32,280 --> 00:14:34,960 Speaker 3: It shifts because, like you know, obviously with older voters 267 00:14:35,480 --> 00:14:38,800 Speaker 3: and most voters who are actually likely voters, it's economy, 268 00:14:39,440 --> 00:14:43,920 Speaker 3: immigration and democracy is actually higher ranking that I think 269 00:14:44,000 --> 00:14:46,160 Speaker 3: a lot of people would give it credit for. We 270 00:14:46,200 --> 00:14:47,720 Speaker 3: saw that in a sne And poll it was the 271 00:14:47,760 --> 00:14:51,640 Speaker 3: third ranking issue a few months ago, which was kind 272 00:14:51,640 --> 00:14:55,000 Speaker 3: of amazing to me because the whole, you know, common 273 00:14:55,520 --> 00:14:58,920 Speaker 3: conventional wisdom is that it's nice to talk about, but 274 00:14:59,000 --> 00:15:01,000 Speaker 3: if you're actually worried about your bills, that's not what 275 00:15:01,040 --> 00:15:04,000 Speaker 3: you're thinking about. But clearly people are thinking. But for 276 00:15:04,120 --> 00:15:06,480 Speaker 3: younger voters, I think that there are issues that are 277 00:15:06,520 --> 00:15:10,920 Speaker 3: just totally different to them, like gay marriage, climate change, 278 00:15:11,040 --> 00:15:14,800 Speaker 3: all of these things are they're like givens to them, 279 00:15:14,840 --> 00:15:16,960 Speaker 3: like there's not you. You'd be hard pressed to find 280 00:15:16,960 --> 00:15:18,400 Speaker 3: a lot of young people who are like, yeah, the 281 00:15:18,440 --> 00:15:21,120 Speaker 3: climate's not changing, or this isn't climate change as a hoax, 282 00:15:21,160 --> 00:15:23,560 Speaker 3: like and that was such a fight for so long 283 00:15:23,600 --> 00:15:27,400 Speaker 3: in politics with Republicans, and so I just think that 284 00:15:27,840 --> 00:15:29,840 Speaker 3: they're thinking of it differently. But I think the economy 285 00:15:29,880 --> 00:15:34,040 Speaker 3: is big for them because they're coming out and they're 286 00:15:34,040 --> 00:15:37,400 Speaker 3: not satisfied with their jobs, entry level jobs or where 287 00:15:37,400 --> 00:15:40,520 Speaker 3: they're you know, upward mobility, and they can't afford homes 288 00:15:40,840 --> 00:15:44,720 Speaker 3: and that is just not something that you know of 289 00:15:44,800 --> 00:15:47,320 Speaker 3: Like our parents' generation, they never had to worry about it, Like. 290 00:15:47,280 --> 00:15:49,560 Speaker 2: Their parents had homes by the time they were thirty 291 00:15:49,640 --> 00:15:50,480 Speaker 2: years old, and. 292 00:15:50,440 --> 00:15:53,240 Speaker 3: So I think that has been a huge, a huge 293 00:15:53,280 --> 00:15:54,960 Speaker 3: thing for. 294 00:15:54,880 --> 00:15:55,400 Speaker 2: Them as well. 295 00:15:56,120 --> 00:15:58,400 Speaker 1: Yeah, I think what's been really interesting to your point 296 00:15:58,440 --> 00:16:01,360 Speaker 1: about even that tape receins surfacing on TikTok. I've been 297 00:16:01,400 --> 00:16:07,480 Speaker 1: really relieved to see some younger, more financially minded influencers 298 00:16:07,520 --> 00:16:10,040 Speaker 1: on TikTok being like, hey, if you're not super happy 299 00:16:10,080 --> 00:16:12,440 Speaker 1: with the economy right now, like you know, we're still 300 00:16:12,480 --> 00:16:16,280 Speaker 1: living in Trump's tax policy right like tax cuts he 301 00:16:16,320 --> 00:16:19,040 Speaker 1: gave to billionaires, or why your taxes are so terrible? 302 00:16:19,120 --> 00:16:22,520 Speaker 1: And I was like, wow, guys, yes, you should probably 303 00:16:22,640 --> 00:16:24,880 Speaker 1: make sure everybody knows that, just like I think it's 304 00:16:24,920 --> 00:16:27,120 Speaker 1: really great that, you know, we're able to talk about 305 00:16:27,120 --> 00:16:29,560 Speaker 1: the fact that the Harris Walls campaign has plans to 306 00:16:30,200 --> 00:16:33,560 Speaker 1: aid first time home home buyers, you know, to help 307 00:16:33,600 --> 00:16:37,360 Speaker 1: people kind of close that gap between our generation and 308 00:16:37,520 --> 00:16:42,320 Speaker 1: our parents generation either are focusing on, like the Sandwich generation, 309 00:16:42,480 --> 00:16:46,320 Speaker 1: even with healthcare for parents, making sure you can be 310 00:16:46,360 --> 00:16:49,080 Speaker 1: a home career, especially if you have an elderly parent 311 00:16:49,120 --> 00:16:52,240 Speaker 1: and young kids. You know, these are things that really 312 00:16:52,320 --> 00:16:56,200 Speaker 1: feel like they matter to folks, And I think pierce 313 00:16:57,560 --> 00:17:00,560 Speaker 1: some of this idea that the right way is better 314 00:17:00,560 --> 00:17:03,000 Speaker 1: for the economy, even though all the economic data for 315 00:17:03,000 --> 00:17:08,480 Speaker 1: the last hundred years disproves that. I am really curious 316 00:17:08,680 --> 00:17:13,119 Speaker 1: why you think that message seems to stick. Is it 317 00:17:13,160 --> 00:17:15,200 Speaker 1: one of those things, like Trump says, that you repeat 318 00:17:15,200 --> 00:17:17,840 Speaker 1: a lie enough and people will believe it, Like or 319 00:17:17,920 --> 00:17:19,719 Speaker 1: is it just that that's what they've made the focus 320 00:17:19,760 --> 00:17:23,680 Speaker 1: of their campaigns for so many decades now that everyone 321 00:17:23,800 --> 00:17:25,200 Speaker 1: kind of plays the word association. 322 00:17:25,520 --> 00:17:28,000 Speaker 3: You mean, just like why voters trust Trump on like 323 00:17:28,040 --> 00:17:29,080 Speaker 3: the economy and stuff. 324 00:17:29,520 --> 00:17:32,720 Speaker 1: Yeah, because, like he added, twenty five percent of the 325 00:17:32,880 --> 00:17:36,919 Speaker 1: entire United States national debt was created under Donald Trump. 326 00:17:37,040 --> 00:17:39,760 Speaker 1: Like when you think about that, you know, in the 327 00:17:39,840 --> 00:17:43,280 Speaker 1: two hundred plus years we've existed, that in four years, 328 00:17:43,280 --> 00:17:45,399 Speaker 1: twenty five percent of our debt was made under one person. 329 00:17:45,480 --> 00:17:48,800 Speaker 1: That's a pretty alarming statistic. So why do voters trust 330 00:17:48,800 --> 00:17:51,399 Speaker 1: this guy this bankruptcy king about money? 331 00:17:51,720 --> 00:17:54,920 Speaker 3: Yeah, it's that, And it's like they just view him 332 00:17:54,920 --> 00:17:58,080 Speaker 3: as a very successful billionaire, even though he has declared 333 00:17:58,119 --> 00:18:01,240 Speaker 3: bankruptcy a lot. You know, he never would release his taxes. 334 00:18:01,400 --> 00:18:03,439 Speaker 3: Is the New York Times that had to get access 335 00:18:03,480 --> 00:18:05,399 Speaker 3: to parts of them. 336 00:18:06,160 --> 00:18:06,480 Speaker 2: It is. 337 00:18:06,520 --> 00:18:08,639 Speaker 3: It's a fascinating thing because also, you know, okay, in 338 00:18:08,680 --> 00:18:11,000 Speaker 3: this moment right now, if I went. 339 00:18:10,880 --> 00:18:13,840 Speaker 2: Home, which obviously Alabama is a very conservative. 340 00:18:13,320 --> 00:18:16,520 Speaker 3: State, but if I went home and said, Okay, you know, 341 00:18:16,800 --> 00:18:19,879 Speaker 3: how's everyone feeling about this, my dad would say, well, 342 00:18:19,880 --> 00:18:22,560 Speaker 3: I'm voting. And this is just an example. If my 343 00:18:22,640 --> 00:18:24,920 Speaker 3: dad's listening, I just don't. I'm not revealing his vote. 344 00:18:25,160 --> 00:18:27,480 Speaker 3: This is just hypothetical. But if I said, you know, 345 00:18:27,520 --> 00:18:29,320 Speaker 3: how do you feel aout the economy, my dad would 346 00:18:29,359 --> 00:18:31,439 Speaker 3: be like, it sucks and I can't do this. And 347 00:18:31,480 --> 00:18:37,440 Speaker 3: it's like, actually, your furrowook is doing better. You're you're 348 00:18:37,440 --> 00:18:41,080 Speaker 3: not at risk of the Harris tax policy plan, like 349 00:18:41,119 --> 00:18:43,479 Speaker 3: if you make under four hundred thousand dollars, same thing 350 00:18:43,520 --> 00:18:47,160 Speaker 3: that Biden argued, the capital gains tax part I think 351 00:18:47,200 --> 00:18:49,720 Speaker 3: concerned people. But she's kind of like dialed back on 352 00:18:49,760 --> 00:18:52,919 Speaker 3: that after we heard from economist weighing in. But on this, 353 00:18:53,040 --> 00:18:55,760 Speaker 3: you know, gas prices, they'll say gas prices are so 354 00:18:55,920 --> 00:18:59,360 Speaker 3: high right now, the US is producing more oil than 355 00:18:59,400 --> 00:19:04,160 Speaker 3: it ever had in the nation's history. And but it's 356 00:19:04,200 --> 00:19:06,440 Speaker 3: something that the the White House doesn't often tout because 357 00:19:06,480 --> 00:19:09,800 Speaker 3: it's not popular with progressives who care about the climate 358 00:19:09,840 --> 00:19:11,439 Speaker 3: and want to see changes there, but it is a 359 00:19:11,480 --> 00:19:12,480 Speaker 3: fact that is happening. 360 00:19:12,840 --> 00:19:14,320 Speaker 2: And so we have Republicans on all the. 361 00:19:14,320 --> 00:19:17,359 Speaker 3: Time who say, you know, Caitlin, it's the economy that 362 00:19:17,359 --> 00:19:19,199 Speaker 3: people are worried about, and it's like, okay, but can 363 00:19:19,240 --> 00:19:21,719 Speaker 3: you point to something, and they'll point to energy prices, 364 00:19:21,720 --> 00:19:25,600 Speaker 3: and it's like it's one of those things where I 365 00:19:25,640 --> 00:19:28,679 Speaker 3: think so many lawmakers and politicians, not just Trump, but 366 00:19:28,720 --> 00:19:32,800 Speaker 3: they say it all the time, and voters still feel 367 00:19:32,920 --> 00:19:35,479 Speaker 3: like a malaise because of all the inflation and everything 368 00:19:35,520 --> 00:19:37,800 Speaker 3: coming out of COVID, which look at how the US 369 00:19:37,840 --> 00:19:39,760 Speaker 3: did compared to other countries, and. 370 00:19:39,440 --> 00:19:42,280 Speaker 1: We fared so much better than most other countries because 371 00:19:42,280 --> 00:19:42,920 Speaker 1: of Biden and. 372 00:19:42,880 --> 00:19:47,000 Speaker 2: Harrison's well and no recession, you know, the flood's monetary policy, 373 00:19:47,040 --> 00:19:49,280 Speaker 2: and so it's all of those things. 374 00:19:49,280 --> 00:19:52,880 Speaker 3: But it's like you can tell people all the facts 375 00:19:52,920 --> 00:19:55,919 Speaker 3: and the numbers, and it's how people feel how they vote. 376 00:19:56,040 --> 00:19:56,360 Speaker 3: And so. 377 00:19:57,880 --> 00:19:58,399 Speaker 2: I don't know. 378 00:19:58,560 --> 00:20:01,119 Speaker 3: I'm not a politician, thankfully, but I think that's probably 379 00:20:01,240 --> 00:20:01,840 Speaker 3: got to be one of the. 380 00:20:01,840 --> 00:20:04,320 Speaker 2: Most frustrating parts is being like, well. 381 00:20:04,160 --> 00:20:05,520 Speaker 3: It's fine, so I don't know what you feel this 382 00:20:05,560 --> 00:20:07,040 Speaker 3: way because you can't you know, if you have a 383 00:20:07,080 --> 00:20:09,320 Speaker 3: friend who's frustrated, it's something you can't just say, well, 384 00:20:09,400 --> 00:20:11,679 Speaker 3: that's not real, because it is how they feel. 385 00:20:12,160 --> 00:20:14,840 Speaker 2: So it's like, how do you talk to them in 386 00:20:14,840 --> 00:20:15,560 Speaker 2: that sense of it? 387 00:20:16,200 --> 00:20:18,159 Speaker 1: Yeah, well, and I think there are certain things that 388 00:20:18,560 --> 00:20:20,760 Speaker 1: hopefully are breaking through. You know, even the fact that 389 00:20:20,840 --> 00:20:23,919 Speaker 1: Vice President Harris said she would go after companies for 390 00:20:24,040 --> 00:20:26,760 Speaker 1: price gouging, and then suddenly you saw all these big 391 00:20:26,800 --> 00:20:30,800 Speaker 1: corporations and grocery stores lowering their prices and everyone was like, oh, 392 00:20:30,880 --> 00:20:33,280 Speaker 1: so it isn't inflation. It was a choice because y'all 393 00:20:33,280 --> 00:20:37,280 Speaker 1: are bragging about your you know, record record breaking financial 394 00:20:37,400 --> 00:20:40,840 Speaker 1: quarters every quarter on your earnings calls. So I, ah, 395 00:20:41,240 --> 00:20:43,879 Speaker 1: I know those things because I'm a news nerd. I know, 396 00:20:44,000 --> 00:20:46,040 Speaker 1: you know those things you work in the news. It 397 00:20:46,080 --> 00:20:50,000 Speaker 1: is hard to see what's breaking through to voters, but 398 00:20:50,480 --> 00:20:53,399 Speaker 1: clearly there's you know, a lot of anxiety, and we 399 00:20:53,520 --> 00:20:56,320 Speaker 1: do know that there is a lot of fear on 400 00:20:56,359 --> 00:21:00,359 Speaker 1: the right that they're you know, uniting around hate campaign 401 00:21:00,480 --> 00:21:02,920 Speaker 1: isn't working because all these ballot boxes are getting set 402 00:21:02,960 --> 00:21:06,080 Speaker 1: on fire, and you know, Washington and or really. 403 00:21:05,720 --> 00:21:08,160 Speaker 2: Scary for what's going to happen on what. 404 00:21:08,240 --> 00:21:11,320 Speaker 1: Happens there, because we know that some states and obviously 405 00:21:11,359 --> 00:21:14,240 Speaker 1: they know too. All of this is public information. We 406 00:21:14,359 --> 00:21:16,400 Speaker 1: know that in some states it's been less than twelve 407 00:21:16,440 --> 00:21:19,960 Speaker 1: thousand votes, and there could be thousands of ballots in 408 00:21:20,119 --> 00:21:23,320 Speaker 1: those in those ballot boxes that are in very progressive 409 00:21:23,440 --> 00:21:27,959 Speaker 1: zip codes. How can public officials identify those voters? How 410 00:21:28,000 --> 00:21:31,120 Speaker 1: do they rectify the situation? Have you heard of any 411 00:21:31,160 --> 00:21:33,280 Speaker 1: precautions that are going to be put in place across 412 00:21:33,320 --> 00:21:36,280 Speaker 1: the country to stop this from continuing to happen like 413 00:21:36,359 --> 00:21:37,120 Speaker 1: what we do here. 414 00:21:37,400 --> 00:21:40,760 Speaker 3: We actually talked to Marie Glusen camp Perez. She's a 415 00:21:40,800 --> 00:21:44,240 Speaker 3: fascinating a politician for people to don't love maker, for 416 00:21:44,240 --> 00:21:46,600 Speaker 3: people don't know who she is. She represents a really 417 00:21:46,600 --> 00:21:50,520 Speaker 3: competitive district in Washington. She was elected in twenty twenty 418 00:21:50,560 --> 00:21:54,920 Speaker 3: two because I interviewed her maybe twenty twenty it was 419 00:21:54,920 --> 00:21:57,840 Speaker 3: either twenty twenty or twenty twenty two, and she her 420 00:21:57,880 --> 00:22:00,919 Speaker 3: family owns like an auto repair shop and Washington. She 421 00:22:01,080 --> 00:22:03,840 Speaker 3: ran because she was frustrated. She's a Democrat, but she's 422 00:22:04,000 --> 00:22:07,679 Speaker 3: very moderate and has a very very she flipped a 423 00:22:07,720 --> 00:22:11,520 Speaker 3: red seat, so she's very middle of the road but 424 00:22:11,600 --> 00:22:14,439 Speaker 3: it's her district where the ballot boxes were set on fire, 425 00:22:14,520 --> 00:22:17,520 Speaker 3: and she was so her quote was pissed off when 426 00:22:17,560 --> 00:22:19,720 Speaker 3: I talked to her about it, because she was like, 427 00:22:19,760 --> 00:22:22,439 Speaker 3: these people did their duty, they went and voted, They 428 00:22:22,520 --> 00:22:24,920 Speaker 3: took the time after like picking up their kids and 429 00:22:25,680 --> 00:22:28,440 Speaker 3: going to the grocery store and doing this. Yes, and 430 00:22:28,480 --> 00:22:30,840 Speaker 3: now it's like we have to find them and track 431 00:22:30,880 --> 00:22:33,080 Speaker 3: them and make sure that they know that something happened. 432 00:22:33,280 --> 00:22:35,000 Speaker 3: I saw they laid out all the ballots, so they 433 00:22:35,000 --> 00:22:38,640 Speaker 3: were trying to identify people who had not reached back 434 00:22:38,640 --> 00:22:40,919 Speaker 3: out to say, hey, I cast my ballot here the 435 00:22:40,960 --> 00:22:44,480 Speaker 3: other day to find those voters. But you make a 436 00:22:44,480 --> 00:22:47,040 Speaker 3: good point overall, and something crazy I learned the other day. 437 00:22:47,119 --> 00:22:52,159 Speaker 3: These poor election workers who are volunteers doing their civic duty, 438 00:22:52,920 --> 00:22:55,359 Speaker 3: going to help to ensure that you can go cast 439 00:22:55,359 --> 00:22:58,320 Speaker 3: her ballots because it doesn't matter who's running, what the 440 00:22:58,400 --> 00:23:01,320 Speaker 3: issues are if you can't actually vote. And they are 441 00:23:01,400 --> 00:23:05,719 Speaker 3: under such threats, largely because of Trump and his allies 442 00:23:05,760 --> 00:23:08,840 Speaker 3: and how they handle the twenty twenty election. But in Georgia, 443 00:23:09,040 --> 00:23:11,480 Speaker 3: the Secretary of State there ordered lanyards for all the 444 00:23:11,480 --> 00:23:12,080 Speaker 3: poll workers. 445 00:23:12,119 --> 00:23:13,399 Speaker 2: There's thirty hundred. 446 00:23:13,119 --> 00:23:17,200 Speaker 3: Precincts that have a mobile panic button in them so 447 00:23:17,240 --> 00:23:19,000 Speaker 3: they can push it and it calls notineven one if. 448 00:23:18,920 --> 00:23:19,760 Speaker 2: They're having issues. 449 00:23:20,359 --> 00:23:21,040 Speaker 1: Wow. 450 00:23:21,160 --> 00:23:22,720 Speaker 3: I just think that's crazy in the United States of 451 00:23:22,760 --> 00:23:27,520 Speaker 3: America that we have to have mobile panic buttons. 452 00:23:26,760 --> 00:23:29,520 Speaker 2: For our pollwark for election. We don't know what could happen. 453 00:23:30,080 --> 00:23:34,040 Speaker 1: Yeah. Well, and I saw a great effort that was 454 00:23:34,119 --> 00:23:37,040 Speaker 1: gaining some traction this year where a lot of veterans 455 00:23:37,160 --> 00:23:39,920 Speaker 1: were signing up to go and be poll workers because 456 00:23:39,920 --> 00:23:42,399 Speaker 1: they were like, oh, you want to come threat in 457 00:23:42,480 --> 00:23:45,880 Speaker 1: the democracy we risked our lives for not here, Oh 458 00:23:45,920 --> 00:23:48,720 Speaker 1: that's not on American soil. And I've loved it. You know, 459 00:23:48,760 --> 00:23:51,200 Speaker 1: a lot of the guys behind vote vets have been 460 00:23:51,320 --> 00:23:54,760 Speaker 1: advocating for this stuff, and I'm just like, yeah, you guys, 461 00:23:54,880 --> 00:23:57,080 Speaker 1: like a lot of I don't think people realize that 462 00:23:57,119 --> 00:23:59,520 Speaker 1: so many folks who work at the polls are actually 463 00:24:00,040 --> 00:24:00,960 Speaker 1: military veterans. 464 00:24:01,240 --> 00:24:03,080 Speaker 2: Yeah, that's actually really interesting. 465 00:24:04,400 --> 00:24:08,040 Speaker 3: And it's just we've seen it, like, it's not a 466 00:24:08,119 --> 00:24:11,320 Speaker 3: made up thing, a made up concern. It's a hypothetical. 467 00:24:11,680 --> 00:24:13,840 Speaker 3: We've seen it happening in Florida and in other polling 468 00:24:13,880 --> 00:24:17,399 Speaker 3: places where it's a real issue, and so it just 469 00:24:17,480 --> 00:24:20,240 Speaker 3: you know, Ruby Freeman and Shay Mosk, the two Georgia 470 00:24:20,280 --> 00:24:23,400 Speaker 3: election workers who still have not gotten a dime. 471 00:24:23,200 --> 00:24:24,200 Speaker 2: From Rudy Giuliani. 472 00:24:24,680 --> 00:24:27,479 Speaker 3: I just think about them because they lived in their 473 00:24:27,480 --> 00:24:32,040 Speaker 3: community and what happened, how how much they were lied 474 00:24:32,080 --> 00:24:35,320 Speaker 3: about impacted their lives that before. Like now they've won 475 00:24:35,560 --> 00:24:38,359 Speaker 3: and they've won their court case and everyone can see it, 476 00:24:38,840 --> 00:24:40,240 Speaker 3: but at the time that no one knew. 477 00:24:40,400 --> 00:24:43,840 Speaker 2: You know, Ruby Freeman talked about how she was scared 478 00:24:43,840 --> 00:24:44,960 Speaker 2: to go to the grocery store. 479 00:24:45,359 --> 00:24:47,600 Speaker 1: Yes, she was scared to leave her home, and. 480 00:24:47,600 --> 00:24:50,760 Speaker 3: People were showing up at her house. And it just 481 00:24:50,880 --> 00:24:54,680 Speaker 3: is like nuts to think about. And the sense of how, 482 00:24:54,840 --> 00:24:59,879 Speaker 3: you know, a citizen who's done their duty is being harassed, like. 483 00:25:00,119 --> 00:25:04,480 Speaker 1: Up, Yeah, it's pretty alarming, you know how that feels though, 484 00:25:04,760 --> 00:25:07,600 Speaker 1: I mean granted, not on the scale certainly of what 485 00:25:07,720 --> 00:25:10,240 Speaker 1: Ruby Freeman went through. You know, the attacks on her 486 00:25:11,880 --> 00:25:16,760 Speaker 1: were unconscionable. But you hosted a town hall on CNN. 487 00:25:16,960 --> 00:25:21,119 Speaker 1: You interviewed Donald Trump. It was twenty twenty three, and 488 00:25:20,400 --> 00:25:24,119 Speaker 1: he didn't like that You pressed him, which is your job, 489 00:25:26,000 --> 00:25:29,879 Speaker 1: and he called you a nasty person. His favorite insult 490 00:25:29,960 --> 00:25:32,680 Speaker 1: to you know, throw at women. He calls us bitches 491 00:25:33,040 --> 00:25:35,360 Speaker 1: on the golf course, but on the news, he'll call 492 00:25:35,440 --> 00:25:43,359 Speaker 1: us nasty. How did that feel to you? Obviously you 493 00:25:43,480 --> 00:25:47,439 Speaker 1: kept your professional hat on, but what's it like to 494 00:25:47,480 --> 00:25:50,040 Speaker 1: have the former president of the United States call you 495 00:25:50,160 --> 00:25:56,600 Speaker 1: names and incite the kinds of violence that he does 496 00:25:56,600 --> 00:25:58,399 Speaker 1: from his crowd personally? 497 00:25:58,480 --> 00:25:59,200 Speaker 2: For you? 498 00:25:58,640 --> 00:26:03,000 Speaker 3: You know, I have covered Donald Trump for eight years now, 499 00:26:03,280 --> 00:26:06,800 Speaker 3: and even long. I met him in twenty fifteen when 500 00:26:06,800 --> 00:26:11,040 Speaker 3: he was running, and I think from covering him, I 501 00:26:11,200 --> 00:26:15,840 Speaker 3: just knew I know his playbook. Like in that town hall, really, 502 00:26:15,880 --> 00:26:18,120 Speaker 3: I basically could have predicted every answer he gave. 503 00:26:18,400 --> 00:26:19,520 Speaker 2: You don't always know exactly. 504 00:26:20,320 --> 00:26:22,120 Speaker 3: He just always repeats himself, so you have a pretty 505 00:26:22,119 --> 00:26:26,479 Speaker 3: good idea of where he's going. But in that moment, 506 00:26:27,560 --> 00:26:29,879 Speaker 3: what we were and I had you know, this had 507 00:26:29,880 --> 00:26:31,960 Speaker 3: happened to me in the briefing room before, or just 508 00:26:32,000 --> 00:26:33,760 Speaker 3: in the moments the White House. They banned me from 509 00:26:33,800 --> 00:26:36,680 Speaker 3: the Rose Garden, an event at the Rose Garden once 510 00:26:36,680 --> 00:26:38,959 Speaker 3: because he didn't like the questions I had asked when 511 00:26:39,000 --> 00:26:41,520 Speaker 3: he was in the Oval office, and so it wasn't 512 00:26:41,520 --> 00:26:45,000 Speaker 3: my first rodeo basically, right, But in that moment, we 513 00:26:45,040 --> 00:26:48,960 Speaker 3: had been asking him about the classified documents investigation, and 514 00:26:49,200 --> 00:26:51,320 Speaker 3: he had obviously taken them, it was before he had 515 00:26:51,320 --> 00:26:52,520 Speaker 3: been indicted, and. 516 00:26:54,400 --> 00:26:56,400 Speaker 2: We were asking, you know, why he took them and 517 00:26:56,680 --> 00:26:58,680 Speaker 2: what was happening with that, and. 518 00:26:58,600 --> 00:27:01,040 Speaker 3: He very clearly didn't want to answer the question, and 519 00:27:01,080 --> 00:27:03,360 Speaker 3: so he kind of gave his talking point and then 520 00:27:03,359 --> 00:27:06,000 Speaker 3: tried to move on. But then, you know, the art 521 00:27:06,040 --> 00:27:08,720 Speaker 3: of journalism is in the follow up questions. It's often 522 00:27:08,720 --> 00:27:10,680 Speaker 3: not your first question, it's your follow up that really 523 00:27:10,720 --> 00:27:14,840 Speaker 3: makes the difference or the news. And so he clearly 524 00:27:14,840 --> 00:27:16,960 Speaker 3: didn't want to answer that, and I kept pressing him, 525 00:27:17,000 --> 00:27:19,639 Speaker 3: and so his tactic is kind of to divert and 526 00:27:19,680 --> 00:27:23,639 Speaker 3: say you're a nasty person. But in that moment, you 527 00:27:23,680 --> 00:27:26,800 Speaker 3: have a choice. You can either respond to that, which 528 00:27:26,800 --> 00:27:29,840 Speaker 3: certainly is a human response. I think a human impulse 529 00:27:29,920 --> 00:27:32,440 Speaker 3: is to say okay, like when someone calls you a name. 530 00:27:33,240 --> 00:27:35,080 Speaker 3: But you know, being there as a reporter, you have 531 00:27:35,080 --> 00:27:39,240 Speaker 3: to think, okay, I'm here. Fans of his are watching, 532 00:27:40,000 --> 00:27:42,879 Speaker 3: detractors of his are watching. How do you maintain your 533 00:27:42,880 --> 00:27:45,920 Speaker 3: credibility as a reporter and also not get knocked off 534 00:27:46,080 --> 00:27:48,800 Speaker 3: your line of questioning. I think you can never take 535 00:27:48,800 --> 00:27:51,359 Speaker 3: the bait as a reporter, and that's the probably one 536 00:27:51,359 --> 00:27:53,880 Speaker 3: of the best things I've learned. This just happened when 537 00:27:53,880 --> 00:27:55,920 Speaker 3: I interviewed carry Lake the other day. She kept making 538 00:27:56,000 --> 00:27:58,600 Speaker 3: these digs about my age or you know what I 539 00:27:58,760 --> 00:28:02,480 Speaker 3: meant to ask, And in that moment, it's easy to 540 00:28:02,520 --> 00:28:05,159 Speaker 3: see how you can be like, okay, But I think 541 00:28:05,160 --> 00:28:07,120 Speaker 3: as a reporter you've got to stay with your line 542 00:28:07,119 --> 00:28:09,560 Speaker 3: of questioning and keep going because they want you to 543 00:28:09,640 --> 00:28:11,439 Speaker 3: go and get in that fight, because then they're not 544 00:28:11,440 --> 00:28:13,240 Speaker 3: being asked the question they don't want to answer. 545 00:28:13,880 --> 00:28:18,119 Speaker 1: Right. Oh, it drives me a little crazy, but I 546 00:28:18,160 --> 00:28:20,639 Speaker 1: also love it. We'll be back in just a minute. 547 00:28:20,960 --> 00:28:29,600 Speaker 1: But here's a word from our sponsors. Given the rhetoric, 548 00:28:30,760 --> 00:28:34,280 Speaker 1: the temperature, the nastiness, if you will, that you face 549 00:28:35,280 --> 00:28:37,679 Speaker 1: in rooms like that one with him and what you 550 00:28:37,760 --> 00:28:41,840 Speaker 1: just mentioned with Carrie Lake in Arizona, Like, is it 551 00:28:41,880 --> 00:28:45,600 Speaker 1: a drastically different thing for you as a person, not 552 00:28:45,640 --> 00:28:47,800 Speaker 1: just a journalist, but as a person when you prep 553 00:28:47,880 --> 00:28:50,720 Speaker 1: to go in a room and you're interviewing someone, say 554 00:28:50,800 --> 00:28:56,600 Speaker 1: from the Democratic side of the ticket, like or do 555 00:28:56,760 --> 00:28:59,720 Speaker 1: you always feel kind of the same. 556 00:29:00,600 --> 00:29:03,840 Speaker 3: I think it depends because there's certainly some Republicans who 557 00:29:04,480 --> 00:29:07,239 Speaker 3: you know would never go there and would never you know, 558 00:29:07,480 --> 00:29:10,400 Speaker 3: they have decorum and like you know, they want to 559 00:29:10,400 --> 00:29:13,240 Speaker 3: have a substantive back and forth. And maybe you don't 560 00:29:13,240 --> 00:29:16,520 Speaker 3: agree or maybe they don't like, you know, the questions, 561 00:29:16,560 --> 00:29:18,960 Speaker 3: but they're willing to play ball and come on. And 562 00:29:19,040 --> 00:29:20,520 Speaker 3: you know, we try to do that at nine o'clock 563 00:29:20,520 --> 00:29:22,800 Speaker 3: every night. We have people from both both parties on 564 00:29:22,880 --> 00:29:26,000 Speaker 3: because you got to ask everyone a question. And like, 565 00:29:26,000 --> 00:29:29,840 Speaker 3: you know, Democrats are taxpayer funded officials too, and like 566 00:29:29,880 --> 00:29:32,760 Speaker 3: we always like to press people because I just think 567 00:29:32,760 --> 00:29:34,960 Speaker 3: if you get paid by the taxpayers, you should have 568 00:29:34,960 --> 00:29:38,520 Speaker 3: to answer tough questions. And honestly, sometimes they usually like it, 569 00:29:38,560 --> 00:29:40,120 Speaker 3: like I think, you know, they're out in the political 570 00:29:40,200 --> 00:29:42,920 Speaker 3: arena for a reason, and they like they don't want 571 00:29:42,920 --> 00:29:44,560 Speaker 3: to just do an easy interview, Like they like to 572 00:29:44,560 --> 00:29:47,080 Speaker 3: get pushed like well why do you think that way? 573 00:29:47,160 --> 00:29:50,720 Speaker 3: Or why is this the best policy? And so I 574 00:29:50,880 --> 00:29:53,920 Speaker 3: like when people show up to play and they want 575 00:29:53,960 --> 00:29:56,760 Speaker 3: to engage and have a good a good engaging interview that. 576 00:29:56,680 --> 00:29:57,520 Speaker 2: People want to watch. 577 00:29:58,200 --> 00:30:00,360 Speaker 3: But it is when people, you know, are to go 578 00:30:00,400 --> 00:30:01,840 Speaker 3: off the rails that you kind of have to be 579 00:30:01,960 --> 00:30:07,400 Speaker 3: prepared anything, and you know, it kind of depends on 580 00:30:07,440 --> 00:30:09,200 Speaker 3: who you're interviewing. You can get a sense of of 581 00:30:09,240 --> 00:30:12,120 Speaker 3: how they are in that way, and if they're going 582 00:30:12,160 --> 00:30:15,080 Speaker 3: to you know, you never know where an interview who's 583 00:30:15,080 --> 00:30:18,040 Speaker 3: going to go. We had Trump's transition coach here on 584 00:30:18,080 --> 00:30:20,880 Speaker 3: the other night, Howard Lutnik. He's the boo of Canner 585 00:30:20,880 --> 00:30:23,320 Speaker 3: Fitzgerald here in New York. He's an amazing story about 586 00:30:23,560 --> 00:30:25,480 Speaker 3: you know, nine to eleven he wasn't in the office 587 00:30:25,920 --> 00:30:28,440 Speaker 3: and he was one of the few who survived and 588 00:30:29,000 --> 00:30:32,480 Speaker 3: just this incredible story. He's kind of like a pillar 589 00:30:32,480 --> 00:30:35,120 Speaker 3: in the New York business community and he's running Trump's 590 00:30:35,200 --> 00:30:37,400 Speaker 3: transition and we had him one we were going to 591 00:30:37,440 --> 00:30:40,560 Speaker 3: talk about, you know, staffing and personnel and what's this 592 00:30:40,640 --> 00:30:43,840 Speaker 3: going to look like, and you know, we prepare pushback. 593 00:30:43,320 --> 00:30:44,600 Speaker 2: And like, you know, what do we think they're going 594 00:30:44,680 --> 00:30:46,040 Speaker 2: to say? What are we going to say back to that? 595 00:30:46,200 --> 00:30:46,640 Speaker 2: My team? 596 00:30:47,560 --> 00:30:51,400 Speaker 3: And it went on this like totally left turn into 597 00:30:51,560 --> 00:30:56,880 Speaker 3: vaccines and like the conspiracy theories about vaccines, like we 598 00:30:56,880 --> 00:30:59,880 Speaker 3: were not expecting at all, and like, you know, you've 599 00:30:59,920 --> 00:31:01,480 Speaker 3: got to fact check that in the moment and push 600 00:31:01,520 --> 00:31:03,360 Speaker 3: back on it, because you know, you can't just let 601 00:31:03,360 --> 00:31:07,760 Speaker 3: someone come on air. Lie, Yeah, and so in moments 602 00:31:07,760 --> 00:31:09,240 Speaker 3: like those, really, what I try to do in every 603 00:31:09,240 --> 00:31:10,720 Speaker 3: interview should just be as prepared as. 604 00:31:10,600 --> 00:31:13,880 Speaker 2: Possible because you never know where it's gonna go. 605 00:31:14,520 --> 00:31:17,320 Speaker 1: Yeah. Well, I mean even that stuff. You know, you've 606 00:31:17,320 --> 00:31:20,640 Speaker 1: got all this RFK running around saying he's gonna take 607 00:31:20,680 --> 00:31:23,840 Speaker 1: over the you know, the CDC, And I'm like, what 608 00:31:23,880 --> 00:31:26,240 Speaker 1: we don't need is a resurgence of a measles epidemic. 609 00:31:26,360 --> 00:31:28,360 Speaker 1: There are certain things we should, I think, just be 610 00:31:28,440 --> 00:31:31,200 Speaker 1: able to agree on and then build forward. 611 00:31:31,400 --> 00:31:33,600 Speaker 3: And think, if you're the scientists who came up with 612 00:31:33,640 --> 00:31:36,040 Speaker 3: that vaccine, you're like, really, I put all his hard 613 00:31:36,040 --> 00:31:38,680 Speaker 3: work into like saving the lives of children, and. 614 00:31:38,640 --> 00:31:41,000 Speaker 2: Now I have to deal with yeah, people who want 615 00:31:41,000 --> 00:31:41,760 Speaker 2: to undermine it. 616 00:31:42,280 --> 00:31:45,160 Speaker 1: This close to eradicating polio, and now we're dealing with 617 00:31:45,200 --> 00:31:47,760 Speaker 1: this because of these yahoos. And you know, it isn't 618 00:31:47,800 --> 00:31:49,480 Speaker 1: lost on me that a lot of us on the 619 00:31:49,760 --> 00:31:52,280 Speaker 1: you know, more sort of progressive side, if you will, 620 00:31:52,320 --> 00:31:56,480 Speaker 1: of activism and organizing have been working on forcing the 621 00:31:56,600 --> 00:32:00,000 Speaker 1: US to meet the EU's food standards for so long. 622 00:32:00,160 --> 00:32:02,520 Speaker 1: I'm like, I think you're going for the wrong side here, 623 00:32:03,720 --> 00:32:06,960 Speaker 1: but here we are. Everything is upside down at this 624 00:32:07,040 --> 00:32:10,640 Speaker 1: point and we're almost through it. You know, tomorrow is 625 00:32:10,640 --> 00:32:13,080 Speaker 1: going to obviously be a very big day. I'm curious 626 00:32:13,120 --> 00:32:16,920 Speaker 1: how you're preparing for election Day but also for the week. 627 00:32:17,680 --> 00:32:21,680 Speaker 1: And when do you think, given the early voting numbers 628 00:32:21,680 --> 00:32:23,360 Speaker 1: we're seeing, when do you think we're going to know 629 00:32:24,640 --> 00:32:26,640 Speaker 1: or is it too soon to say even now? 630 00:32:27,000 --> 00:32:30,520 Speaker 3: Well, as far as preparing, I'm always like, okay, you know, 631 00:32:32,080 --> 00:32:34,400 Speaker 3: how can I brace myself for what this is going 632 00:32:34,440 --> 00:32:37,000 Speaker 3: to look like. I'm mentally preparing for it to go 633 00:32:37,000 --> 00:32:39,600 Speaker 3: on for a long time, you know, in kind of 634 00:32:39,600 --> 00:32:42,240 Speaker 3: the situation where you prepare for the worst, hope for 635 00:32:42,280 --> 00:32:45,440 Speaker 3: the best, and you know we're going to go Well, 636 00:32:45,600 --> 00:32:49,280 Speaker 3: I'll be in Florida at the Trump headquarters tomorrow for 637 00:32:49,360 --> 00:32:51,840 Speaker 3: the as the results are coming in, Abby, Philip will 638 00:32:51,880 --> 00:32:54,840 Speaker 3: be with Vice President Harris's headquarters. So we're kind of 639 00:32:54,880 --> 00:32:58,640 Speaker 3: like stationed to you know, in real time on CNN 640 00:32:58,760 --> 00:33:00,600 Speaker 3: be able to say here, here's the mood in the 641 00:33:00,600 --> 00:33:03,080 Speaker 3: campaign right now, here's what they're looking at, and these 642 00:33:03,160 --> 00:33:04,960 Speaker 3: numbers that are coming in, and. 643 00:33:04,960 --> 00:33:07,800 Speaker 1: When you're each in those different locations, but as you said, 644 00:33:07,840 --> 00:33:11,000 Speaker 1: you're you're stationed on site, you know, you've kind of 645 00:33:11,040 --> 00:33:13,880 Speaker 1: got a divide across the country. And then what for 646 00:33:13,960 --> 00:33:15,440 Speaker 1: the folks at home that are like, but how does 647 00:33:15,480 --> 00:33:18,280 Speaker 1: that work? You're patching in live to a studio and 648 00:33:18,320 --> 00:33:19,640 Speaker 1: doing shows together, right. 649 00:33:19,720 --> 00:33:21,800 Speaker 3: Yeah, so we'll have and then we'll have like John 650 00:33:21,880 --> 00:33:24,640 Speaker 3: King and the Magic Wall, like looking at all the numbers. Yeah, 651 00:33:24,640 --> 00:33:27,200 Speaker 3: and Jake there if you know, as we're getting numbers, 652 00:33:27,200 --> 00:33:30,320 Speaker 3: what are we calling? And so basically it's just seeing 653 00:33:30,320 --> 00:33:32,600 Speaker 3: it in on election night is at its best because 654 00:33:32,680 --> 00:33:36,760 Speaker 3: it's like we have so many resources, Like we're so prepared, 655 00:33:36,800 --> 00:33:39,880 Speaker 3: We've been doing rehearsals. Everyone's kind of like, you know, 656 00:33:40,000 --> 00:33:42,200 Speaker 3: this could happen, or this could happen, or this could happen. 657 00:33:42,560 --> 00:33:45,719 Speaker 3: Trump could declare victory prematurely like you did in twenty twenty. 658 00:33:46,200 --> 00:33:48,760 Speaker 3: Like we're just kind of game planning all that. I know, 659 00:33:49,680 --> 00:33:51,680 Speaker 3: it's crazy that you even have to like think about that, 660 00:33:51,880 --> 00:33:56,240 Speaker 3: but so that's basically it. And like we'll be texting 661 00:33:56,280 --> 00:33:58,000 Speaker 3: in real time and being like here's what we're seeing, 662 00:33:58,040 --> 00:34:01,600 Speaker 3: here's what we're hearing, and so if you're watching, you'll 663 00:34:01,600 --> 00:34:03,320 Speaker 3: be able to see all those updates of like what's. 664 00:34:03,160 --> 00:34:03,960 Speaker 2: Going on the ground. 665 00:34:04,560 --> 00:34:07,240 Speaker 3: And then I don't know how long it's gonna last. 666 00:34:07,320 --> 00:34:08,960 Speaker 3: I don't think we'll know on Tuesday night. I think 667 00:34:09,000 --> 00:34:13,359 Speaker 3: everyone feels pretty Maybe we will, but everyone feels pretty consensency. 668 00:34:13,440 --> 00:34:14,960 Speaker 2: From what I've heard from my sources. 669 00:34:15,480 --> 00:34:17,440 Speaker 3: It's gonna take a little bit just because the counting 670 00:34:18,239 --> 00:34:20,160 Speaker 3: of those mail in balance, they can't some of them. 671 00:34:20,160 --> 00:34:22,440 Speaker 3: They can't start counting in some states until seven pm. 672 00:34:23,360 --> 00:34:26,160 Speaker 3: And so you know, these pullworkers are doing the Lord's 673 00:34:26,160 --> 00:34:26,680 Speaker 3: work and. 674 00:34:27,000 --> 00:34:29,920 Speaker 2: They really are, like they seriously are. They deserve like, 675 00:34:30,400 --> 00:34:32,000 Speaker 2: you know, all the treats of the world. 676 00:34:33,280 --> 00:34:36,480 Speaker 3: So maybe by Thursday, you know, last year or in 677 00:34:36,520 --> 00:34:39,319 Speaker 3: twenty twenty, last selection, it took until twenty It took 678 00:34:39,400 --> 00:34:41,800 Speaker 3: until Saturday when we found out. Yeah, we had a 679 00:34:41,800 --> 00:34:43,799 Speaker 3: pretty good idea though on Thursday and Friday. If you're 680 00:34:43,800 --> 00:34:46,680 Speaker 3: looking at the numbers, I think they just wanted to 681 00:34:46,680 --> 00:34:49,520 Speaker 3: be one hundred percent sure. They wanted to feel good 682 00:34:49,920 --> 00:34:53,120 Speaker 3: because public trust is so important, and being able to 683 00:34:53,120 --> 00:34:55,560 Speaker 3: say we'll see it and called it. I believe them, 684 00:34:56,120 --> 00:34:59,399 Speaker 3: and you know, it really was the difference maker, I think, 685 00:34:59,440 --> 00:35:01,879 Speaker 3: And so we we work so hard to get it right. 686 00:35:02,320 --> 00:35:04,080 Speaker 3: That's what people at home should know is we're looking 687 00:35:04,160 --> 00:35:08,319 Speaker 3: at every inch of this, so we'll see how long 688 00:35:08,360 --> 00:35:10,200 Speaker 3: it takes. The question is, you know, is it all 689 00:35:10,239 --> 00:35:12,080 Speaker 3: gonna come down to Pennsylvania. We're gonna be hanging out 690 00:35:12,120 --> 00:35:14,800 Speaker 3: there for a few days, Georgia and North Carolina. 691 00:35:14,880 --> 00:35:15,439 Speaker 2: You know, we don't. 692 00:35:15,560 --> 00:35:17,200 Speaker 3: You never know, And you know what the other thing is, 693 00:35:17,239 --> 00:35:20,560 Speaker 3: there's always surprises that happen in the numbers or in 694 00:35:20,600 --> 00:35:23,520 Speaker 3: the Senate races. You know, who's going to control the Senate, 695 00:35:23,560 --> 00:35:24,040 Speaker 3: who's going. 696 00:35:23,960 --> 00:35:27,080 Speaker 2: To control the House. So we'll be like digging through 697 00:35:27,680 --> 00:35:28,120 Speaker 2: all of that. 698 00:35:28,960 --> 00:35:33,480 Speaker 1: Yeah, okay, so maybe maybe we assume that we'll know 699 00:35:33,880 --> 00:35:36,400 Speaker 1: at the weekend, Saturday or Sunday, and if we know 700 00:35:36,560 --> 00:35:38,600 Speaker 1: sooner than we're through exactly. 701 00:35:38,680 --> 00:35:41,480 Speaker 3: And I think the one thing that is so important 702 00:35:41,480 --> 00:35:43,759 Speaker 3: for people to know is just because we don't know 703 00:35:43,800 --> 00:35:46,719 Speaker 3: an election night doesn't mean anything's wrong. It takes time 704 00:35:46,760 --> 00:35:50,000 Speaker 3: to count and there's a lot of ballots and they 705 00:35:50,040 --> 00:35:53,240 Speaker 3: want to be sure, and so it's not a sign 706 00:35:53,440 --> 00:35:56,520 Speaker 3: of like, you know, you're like, why am I still waiting? 707 00:35:56,680 --> 00:35:58,000 Speaker 2: This is weird, it's normal. 708 00:35:58,040 --> 00:35:59,680 Speaker 1: It's just because we're such a big country. 709 00:36:00,120 --> 00:36:02,440 Speaker 3: Yeah, and turn out it's going to be so crazy. 710 00:36:02,800 --> 00:36:05,520 Speaker 3: I heard a poster say he thinks about one hundred 711 00:36:05,560 --> 00:36:09,040 Speaker 3: and seventy million people will vote, so we'll see. Wow, 712 00:36:09,120 --> 00:36:11,360 Speaker 3: Like he said, that was like the high number. 713 00:36:11,400 --> 00:36:17,040 Speaker 1: He thought, it's amazing. Do you think, I guess the 714 00:36:17,040 --> 00:36:19,680 Speaker 1: better question is what do you think? How do you 715 00:36:20,960 --> 00:36:24,640 Speaker 1: estimate from what you see every day, how we as 716 00:36:24,640 --> 00:36:30,440 Speaker 1: a society get to move forward after such a contentious 717 00:36:30,560 --> 00:36:35,600 Speaker 1: and abnormal and historic election. Do you maybe have two 718 00:36:35,640 --> 00:36:38,160 Speaker 1: different answers depending on who wins, or do you think 719 00:36:38,160 --> 00:36:41,360 Speaker 1: there's kind of a roadmap forward for Americans in general? 720 00:36:41,520 --> 00:36:44,600 Speaker 3: The problem is with that, I don't want, I don't know, 721 00:36:44,800 --> 00:36:47,480 Speaker 3: and I'm always hopeful that people will will rise to 722 00:36:47,520 --> 00:36:50,040 Speaker 3: the occasion. But I think when you look at the polling, 723 00:36:50,800 --> 00:36:53,600 Speaker 3: if it's accurate, and even if it's two points off, 724 00:36:54,400 --> 00:37:00,600 Speaker 3: the country is basically split, and most people feel pretty strongly. 725 00:37:00,719 --> 00:37:03,520 Speaker 3: And so what we do know is how polarized we are. 726 00:37:04,000 --> 00:37:06,279 Speaker 3: So on election day, one person's team is going to 727 00:37:06,320 --> 00:37:09,200 Speaker 3: win and one person's team is going to lose, and 728 00:37:09,480 --> 00:37:13,440 Speaker 3: how people deal with that, You know, accepting a loss 729 00:37:13,760 --> 00:37:16,600 Speaker 3: is a real thing. And yea, we saw that in 730 00:37:16,640 --> 00:37:19,880 Speaker 3: twenty twenty. It was so sad to see, like, and 731 00:37:19,880 --> 00:37:21,680 Speaker 3: this is why, you know, anytime we have on someone 732 00:37:21,719 --> 00:37:24,000 Speaker 3: who's an election denier. We always ask them about it, 733 00:37:24,040 --> 00:37:27,000 Speaker 3: regardless of what the news is that day, because it's like. 734 00:37:28,000 --> 00:37:30,160 Speaker 2: If you're a tax parafunded official and you've got this 735 00:37:30,200 --> 00:37:33,920 Speaker 2: platform and you're misleading people who trust you because of 736 00:37:33,920 --> 00:37:37,080 Speaker 2: your position, I just think that's, you know, one of 737 00:37:37,080 --> 00:37:39,279 Speaker 2: the lowest things that someone can do. And so. 738 00:37:40,680 --> 00:37:43,799 Speaker 3: I just you know, obviously, if Harris wins, she said 739 00:37:43,840 --> 00:37:46,719 Speaker 3: she would accept the outcome, Trump still waivers on that 740 00:37:46,760 --> 00:37:49,399 Speaker 3: and says, you know, if it's free and fair, which 741 00:37:49,480 --> 00:37:52,520 Speaker 3: obviously wasn't twenty twenty. So I think that's the thing 742 00:37:52,560 --> 00:37:55,040 Speaker 3: to watch after is what does the environment look like 743 00:37:55,120 --> 00:37:59,279 Speaker 3: after Do people accept it or are we going to 744 00:37:59,360 --> 00:38:01,160 Speaker 3: I mean, you know, both campaigns have a ton of 745 00:38:01,320 --> 00:38:04,680 Speaker 3: attorneys already stationed in the battle ground states because they're 746 00:38:04,680 --> 00:38:07,480 Speaker 3: preparing for it to be one of the most litigated 747 00:38:07,520 --> 00:38:10,719 Speaker 3: elections in US history. And in two thousand and four 748 00:38:10,719 --> 00:38:13,480 Speaker 3: when this happened, you know, al Gore accepted it and 749 00:38:14,000 --> 00:38:17,840 Speaker 3: you know, gave a concession speech and said, you know, 750 00:38:17,880 --> 00:38:21,759 Speaker 3: we're accepting the decision of the Supreme Court, and that 751 00:38:21,840 --> 00:38:25,600 Speaker 3: was not a given and so so I don't know, 752 00:38:25,760 --> 00:38:28,640 Speaker 3: So we'll see, But I do think Yeah, things are 753 00:38:28,640 --> 00:38:31,200 Speaker 3: not over on Tuesday night. This is going to be 754 00:38:31,239 --> 00:38:35,200 Speaker 3: a story that we're still following up until the inauguration 755 00:38:35,360 --> 00:38:35,920 Speaker 3: and beyond that. 756 00:38:36,600 --> 00:38:40,840 Speaker 1: Right well, there's obviously a lot to think about, a 757 00:38:40,880 --> 00:38:42,840 Speaker 1: lot to prepare for. As you said, you've got a 758 00:38:42,880 --> 00:38:46,640 Speaker 1: lot to sort of rehearse and make sure you're ready 759 00:38:46,640 --> 00:38:49,200 Speaker 1: for any outcome. It's a lot of work and it's 760 00:38:49,239 --> 00:38:54,759 Speaker 1: mentally taxing. I'm curious if you feel like you can 761 00:38:54,840 --> 00:38:59,560 Speaker 1: also take a step back and insulate yourself a little bit, 762 00:38:59,800 --> 00:39:04,480 Speaker 1: or if it's just all in all election you'll catch 763 00:39:04,520 --> 00:39:07,920 Speaker 1: your breath when it's over. Because normally I like to 764 00:39:07,960 --> 00:39:10,120 Speaker 1: ask people, you know, at the end of an interview, 765 00:39:10,239 --> 00:39:13,200 Speaker 1: what your work in progress is right now, but I 766 00:39:13,200 --> 00:39:15,160 Speaker 1: don't know if you even have time to think about it. 767 00:39:16,920 --> 00:39:19,240 Speaker 2: That's a great uh, it's a great question. 768 00:39:19,440 --> 00:39:23,040 Speaker 3: And you know, I'm such a political junkie that I 769 00:39:23,080 --> 00:39:25,440 Speaker 3: love the election because I think the one thing that 770 00:39:26,200 --> 00:39:29,960 Speaker 3: we've been talking about polls for two years now, and 771 00:39:30,000 --> 00:39:31,920 Speaker 3: the one thing that we'll learn on Tuesday is like, 772 00:39:32,320 --> 00:39:34,400 Speaker 3: how did the people, how do people actually feel, what 773 00:39:34,440 --> 00:39:37,520 Speaker 3: did they actually decide? What do the numbers look like? 774 00:39:37,800 --> 00:39:41,080 Speaker 3: And who showed up where? So I love that because 775 00:39:41,120 --> 00:39:43,360 Speaker 3: I love it's always really informative, and I think you 776 00:39:43,440 --> 00:39:46,600 Speaker 3: learn a lot. I think as a reporter, you know, 777 00:39:46,680 --> 00:39:50,759 Speaker 3: who has covered two historic elections already and now approaching 778 00:39:50,920 --> 00:39:54,080 Speaker 3: the third, I always just think, how can I do 779 00:39:54,320 --> 00:39:57,120 Speaker 3: my best? Like how can I be the clearest? How 780 00:39:57,160 --> 00:39:59,520 Speaker 3: can I see as someone who studies this every day, 781 00:39:59,560 --> 00:40:02,160 Speaker 3: how can I see what maybe other people who are 782 00:40:02,200 --> 00:40:04,560 Speaker 3: busy and at home I are tuning in, Like how 783 00:40:04,560 --> 00:40:07,680 Speaker 3: can I help them understand it and ye think about 784 00:40:07,680 --> 00:40:09,400 Speaker 3: it and process it? Like I just want to be 785 00:40:09,560 --> 00:40:12,120 Speaker 3: of service in that sense. And so that's what I'm 786 00:40:12,120 --> 00:40:16,960 Speaker 3: thinking of going into election night is best reporting, clearest reporting, 787 00:40:17,440 --> 00:40:20,279 Speaker 3: cutting through the bullshit, Like that's what I think is 788 00:40:20,800 --> 00:40:24,160 Speaker 3: our responsibility as reporters, And so that's what I'm going 789 00:40:24,640 --> 00:40:26,960 Speaker 3: you know, I always want to get better at every election. 790 00:40:27,120 --> 00:40:30,560 Speaker 3: Twenty sixteen was crazy, twenty twenty was crazy. I was 791 00:40:30,600 --> 00:40:32,920 Speaker 3: at Trump campaign headquarters in twenty sixteen, I was the 792 00:40:32,920 --> 00:40:35,440 Speaker 3: White House in twenty twenty, and I'll be back at 793 00:40:35,440 --> 00:40:38,480 Speaker 3: the Trump campaign headquarters tomorrow night. And so, you know, 794 00:40:39,480 --> 00:40:42,040 Speaker 3: doing my best there as like my goal right now. 795 00:40:42,520 --> 00:40:45,759 Speaker 3: Then I'll catch my breath, like in January or February well, 796 00:40:45,800 --> 00:40:46,320 Speaker 3: we'll talk. 797 00:40:46,160 --> 00:40:50,520 Speaker 1: About our personal work in progress maybe around the holidays. 798 00:40:50,680 --> 00:40:51,560 Speaker 2: Yeah. I love that. 799 00:40:52,000 --> 00:40:56,040 Speaker 1: Okay, good, well, thank you so much. I'll be thinking 800 00:40:56,040 --> 00:40:59,120 Speaker 1: about you tomorrow, you know, you and Abby. My fingers 801 00:40:59,120 --> 00:41:03,640 Speaker 1: are crossed for you. I hope it is. I hope 802 00:41:03,640 --> 00:41:04,359 Speaker 1: it's a good night. 803 00:41:04,280 --> 00:41:06,359 Speaker 2: For us all. I hope it's. 804 00:41:07,239 --> 00:41:07,399 Speaker 3: Yeah. 805 00:41:07,480 --> 00:41:12,480 Speaker 2: I just hope everyone's you know, respectful and not violent. 806 00:41:12,800 --> 00:41:15,560 Speaker 2: We're going to make it through it patient. But thanks 807 00:41:15,560 --> 00:41:16,160 Speaker 2: for having me on. 808 00:41:16,200 --> 00:41:18,600 Speaker 3: This has been so fun and it's such an exciting 809 00:41:18,640 --> 00:41:21,440 Speaker 3: time and it's great to talk and I just love 810 00:41:21,480 --> 00:41:24,000 Speaker 3: how much you know and care about it. And I 811 00:41:24,000 --> 00:41:27,000 Speaker 3: think that's you know, it's always really inspiring for people. 812 00:41:27,520 --> 00:41:30,120 Speaker 1: Thank you. Yeah, I mean you said it. We're political 813 00:41:30,200 --> 00:41:32,880 Speaker 1: junkies for sure, and yeah, I think my you know, 814 00:41:32,960 --> 00:41:37,600 Speaker 1: for me, once I realized that every single thing I touch, do, see, 815 00:41:38,680 --> 00:41:42,799 Speaker 1: you know, observed, smell, experience in the world is the 816 00:41:42,840 --> 00:41:44,880 Speaker 1: result of policy, I was like, oh, I have to 817 00:41:44,880 --> 00:41:47,319 Speaker 1: know everything about how all of this happens. And so 818 00:41:48,000 --> 00:41:50,640 Speaker 1: if I can you know, play any part in supporting 819 00:41:50,640 --> 00:41:52,960 Speaker 1: the work you all do and reminding people that the 820 00:41:53,000 --> 00:41:56,840 Speaker 1: political is personal, It's like then everything is creevy for me. 821 00:41:56,880 --> 00:41:57,799 Speaker 1: I'm thrilled about it. 822 00:41:58,200 --> 00:41:58,439 Speaker 2: Yeah. 823 00:41:58,480 --> 00:42:00,239 Speaker 3: And the more involved you are and the more you know, 824 00:42:00,520 --> 00:42:04,080 Speaker 3: like people really can individually make such a such an impact. 825 00:42:04,080 --> 00:42:07,000 Speaker 3: I think sometimes people feel powerless, and I think reminding 826 00:42:07,040 --> 00:42:09,600 Speaker 3: people that they're not and none of this is a 827 00:42:09,640 --> 00:42:12,239 Speaker 3: given is so important me too. 828 00:42:12,840 --> 00:42:15,560 Speaker 1: Thanks for taking the time. I know you guys are swamped. 829 00:42:15,560 --> 00:42:16,239 Speaker 1: It means a lot. 830 00:42:16,960 --> 00:42:17,320 Speaker 2: Thanks. 831 00:42:17,920 --> 00:42:19,279 Speaker 1: Yeah, I'll talk to you soon. 832 00:42:19,760 --> 00:42:21,160 Speaker 2: Okay, bye, guys. Thank you,