1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:10,319 Speaker 1: today's best minds. We are on vacation, but that doesn't 4 00:00:10,320 --> 00:00:11,920 Speaker 1: mean we don't have a great show for you today. 5 00:00:12,039 --> 00:00:15,400 Speaker 1: Run for Something's Own Amanda Litman stops by to talk 6 00:00:15,400 --> 00:00:19,160 Speaker 1: about recruiting candidates to win the mid terms for Democrats. 7 00:00:19,280 --> 00:00:22,720 Speaker 1: But first we have heated's own Emily Atkin to talk 8 00:00:22,760 --> 00:00:24,800 Speaker 1: about the latest news and climate change. 9 00:00:25,120 --> 00:00:27,440 Speaker 2: Welcome back to Fast Politics, Emily. 10 00:00:27,360 --> 00:00:28,680 Speaker 3: Hey, thanks for having me. 11 00:00:28,880 --> 00:00:31,600 Speaker 1: Yeah, I'm excited to have you because you are great 12 00:00:31,640 --> 00:00:36,760 Speaker 1: and you are tirelessly chronicling the fuckery. Let's start with 13 00:00:36,840 --> 00:00:40,520 Speaker 1: data centers because that feels like the scariest new way 14 00:00:40,560 --> 00:00:41,559 Speaker 1: to fuck up the climate. 15 00:00:41,880 --> 00:00:42,160 Speaker 2: Yeah. 16 00:00:42,400 --> 00:00:45,640 Speaker 4: I've been so into this like reporting topic, I wouldn't 17 00:00:45,640 --> 00:00:50,080 Speaker 4: say that I've been covering it tirelessly. I am quite tired, 18 00:00:53,520 --> 00:00:57,520 Speaker 4: but this is a subject that sort of demands tireless reporting. 19 00:00:57,600 --> 00:00:59,160 Speaker 3: So yeah, happy to start with there. 20 00:00:59,200 --> 00:01:00,960 Speaker 4: You know what I think that I think most people 21 00:01:01,080 --> 00:01:06,400 Speaker 4: get wrong about the data center conversation is that most people, 22 00:01:06,760 --> 00:01:09,600 Speaker 4: I think think that the biggest water problem is from 23 00:01:09,880 --> 00:01:13,319 Speaker 4: cooling the data centers, because you know, they need these 24 00:01:13,360 --> 00:01:15,880 Speaker 4: like huge buildings that are full of like very hot 25 00:01:15,920 --> 00:01:20,040 Speaker 4: computer processors need water to cool them down. And it 26 00:01:20,160 --> 00:01:22,840 Speaker 4: is a huge problem, right, But one of the more 27 00:01:22,880 --> 00:01:25,600 Speaker 4: surprising things that I've learned recently am I reporting, is 28 00:01:25,640 --> 00:01:29,840 Speaker 4: that the vast majority of the water use the reason why, 29 00:01:30,280 --> 00:01:32,319 Speaker 4: you know, there are those studies that say, like it, 30 00:01:32,560 --> 00:01:35,440 Speaker 4: you know, a long conversation uses a bottle of water, 31 00:01:35,840 --> 00:01:38,679 Speaker 4: that's mostly because of power generation. That's because of all 32 00:01:38,760 --> 00:01:43,240 Speaker 4: of the water needed to cool like a natural gas 33 00:01:43,319 --> 00:01:46,080 Speaker 4: power plant that is powering the data center. So yeah, 34 00:01:46,120 --> 00:01:47,840 Speaker 4: the data centers need like a ton of water to 35 00:01:48,000 --> 00:01:50,480 Speaker 4: cool the servers, but they also need a ton of 36 00:01:50,520 --> 00:01:53,640 Speaker 4: water because they're all being powered by gas. Which is 37 00:01:53,680 --> 00:01:57,680 Speaker 4: so interesting because that's a problem that is solvable if 38 00:01:57,720 --> 00:02:01,320 Speaker 4: you were using not fossil fuel to power the data centers. 39 00:02:01,360 --> 00:02:03,720 Speaker 4: I just think that's so interesting that it always goes 40 00:02:03,760 --> 00:02:05,840 Speaker 4: back to the biggest problem is the. 41 00:02:05,840 --> 00:02:10,080 Speaker 1: Fossil fuels again, and I think data centers are fucking 42 00:02:10,360 --> 00:02:13,919 Speaker 1: waste of everything. But if you were to make a 43 00:02:14,000 --> 00:02:16,880 Speaker 1: data center so you could make AI slop, I could 44 00:02:16,960 --> 00:02:20,160 Speaker 1: not be more anti AI if I tried. But if 45 00:02:20,160 --> 00:02:22,320 Speaker 1: you were to make a data center just to make 46 00:02:22,360 --> 00:02:25,920 Speaker 1: ai slop. If you just had it be solar or 47 00:02:26,040 --> 00:02:27,680 Speaker 1: wind powered, wouldn't you. 48 00:02:27,760 --> 00:02:28,720 Speaker 2: Not have that problem? 49 00:02:28,880 --> 00:02:31,720 Speaker 4: You wouldn't have the big water problem that you're having. 50 00:02:31,760 --> 00:02:34,520 Speaker 4: You would still have a water problem because I think 51 00:02:34,520 --> 00:02:37,800 Speaker 4: it's like thirteen percent of the water usage just for cooling, 52 00:02:37,840 --> 00:02:40,400 Speaker 4: and that's a ton And you'd have to check me 53 00:02:40,440 --> 00:02:41,920 Speaker 4: exactly on that percentage. 54 00:02:41,960 --> 00:02:43,440 Speaker 3: I know there are a ton of different studies. I 55 00:02:43,480 --> 00:02:44,440 Speaker 3: think it's around. 56 00:02:44,120 --> 00:02:46,800 Speaker 4: There, but yeah, so much of that water problem is 57 00:02:46,840 --> 00:02:51,399 Speaker 4: because we don't have enough power to power all these 58 00:02:51,480 --> 00:02:55,760 Speaker 4: data centers. So we're using gas, building new gas plants, 59 00:02:56,080 --> 00:03:00,040 Speaker 4: building new gas pipelines, and gas and fossil fuels. It 60 00:03:00,160 --> 00:03:04,240 Speaker 4: makes sense, right, they're combustible power sources. They're really really hot. 61 00:03:04,360 --> 00:03:07,079 Speaker 4: They need a ton of water, and it's like in 62 00:03:07,120 --> 00:03:10,720 Speaker 4: the climate space so often we're thinking about carbon so often, 63 00:03:10,840 --> 00:03:13,919 Speaker 4: like we forget about the huge water demand of these 64 00:03:14,160 --> 00:03:16,560 Speaker 4: plants too. But they do have them, and that's where 65 00:03:16,560 --> 00:03:20,040 Speaker 4: most of the water wasting is coming for data centers. 66 00:03:20,320 --> 00:03:22,880 Speaker 1: I mean, everything is full speed ahead because there's no 67 00:03:23,000 --> 00:03:27,320 Speaker 1: regulation Undertrune, right, it's basically back to a kind of 68 00:03:27,639 --> 00:03:31,799 Speaker 1: Gilded Age cleptocracy. Let's get into some of the other 69 00:03:32,040 --> 00:03:35,480 Speaker 1: carnage that he is rotting on our environment. 70 00:03:35,800 --> 00:03:38,600 Speaker 4: There's definitely a lot of things we could talk about 71 00:03:38,680 --> 00:03:41,520 Speaker 4: about what he's doing to the environment, like, for instance, 72 00:03:42,000 --> 00:03:45,880 Speaker 4: you know, we just had the International Climate UN Climate 73 00:03:45,920 --> 00:03:48,560 Speaker 4: Summit this year in Brazil. Every year we have a 74 00:03:48,640 --> 00:03:51,000 Speaker 4: cop every year, all the countries gather and try to 75 00:03:51,000 --> 00:03:52,280 Speaker 4: do something about climate change. 76 00:03:52,400 --> 00:03:54,320 Speaker 2: America didn't go this year, right. 77 00:03:54,400 --> 00:03:55,560 Speaker 3: No, America didn't go. 78 00:03:56,080 --> 00:03:58,640 Speaker 4: You know, some people went, like Aba Newsom went, Al 79 00:03:58,720 --> 00:04:01,280 Speaker 4: Gore went, but they weren't part of the official delegation, 80 00:04:01,680 --> 00:04:04,280 Speaker 4: so they weren't like in the room where it happens, 81 00:04:04,400 --> 00:04:07,240 Speaker 4: so to speak, like the negotiations actually happened. So we 82 00:04:07,240 --> 00:04:11,480 Speaker 4: didn't send people. But while that summit was still going on, 83 00:04:11,840 --> 00:04:15,760 Speaker 4: the Trump administration released like a bunch of environmental deregulatory 84 00:04:15,800 --> 00:04:20,039 Speaker 4: actions that mostly went unnoticed. I think one of them 85 00:04:20,320 --> 00:04:26,279 Speaker 4: was opening up was basically like eliminating regulations on offshore 86 00:04:26,400 --> 00:04:29,919 Speaker 4: drilling off the coasts of California and Florida for like 87 00:04:29,960 --> 00:04:33,920 Speaker 4: the first time in decades, so opening up those coastlines 88 00:04:34,040 --> 00:04:37,520 Speaker 4: to potential oil and gas development, which the governors of 89 00:04:37,560 --> 00:04:40,320 Speaker 4: both of those states have been like, please don't do that, 90 00:04:40,400 --> 00:04:43,200 Speaker 4: including Florida, which is kind of surprising. 91 00:04:42,640 --> 00:04:45,840 Speaker 2: Which is wild. Yeah, why does de sant does not 92 00:04:45,960 --> 00:04:47,039 Speaker 2: want to d do that? 93 00:04:47,600 --> 00:04:51,719 Speaker 4: I think that even Florida Republicans understand that the coastlines 94 00:04:51,800 --> 00:04:55,680 Speaker 4: are really sensitive and valuable in other ways. They think 95 00:04:55,760 --> 00:04:57,960 Speaker 4: you think of the coastlines in Florida, I mean, they're 96 00:04:58,000 --> 00:05:02,200 Speaker 4: so essential for tourism and just like for maintaining the environment. 97 00:05:02,200 --> 00:05:04,800 Speaker 4: They also have a lot of military training. Rick Scott 98 00:05:04,880 --> 00:05:07,880 Speaker 4: wrote on Twitter it was like, please do not drill here, 99 00:05:07,960 --> 00:05:10,720 Speaker 4: and obviously Gavin Newsom was like, do not drill here. 100 00:05:10,760 --> 00:05:13,120 Speaker 4: There's gonna be fights around that. But also while all 101 00:05:13,240 --> 00:05:17,200 Speaker 4: the countries were negotiating a climate deal in Brazil, I 102 00:05:17,240 --> 00:05:21,839 Speaker 4: think Trump also wildly loosened the Endangered Species Act as 103 00:05:21,880 --> 00:05:26,120 Speaker 4: one does as one does, so he essentially weakened the 104 00:05:26,200 --> 00:05:31,640 Speaker 4: Endangered Species Act so that it's now easier to remove 105 00:05:31,760 --> 00:05:35,640 Speaker 4: species classified as threatened or endangered from the list and 106 00:05:35,800 --> 00:05:37,080 Speaker 4: harder to add. 107 00:05:36,880 --> 00:05:38,320 Speaker 3: New species to the list. 108 00:05:38,800 --> 00:05:41,880 Speaker 4: It also allows the government, if I remember this correctly, 109 00:05:42,040 --> 00:05:46,920 Speaker 4: to consider like economic impacts when considering whether to list 110 00:05:47,200 --> 00:05:50,280 Speaker 4: as species is endangered. So now you know when you're 111 00:05:50,320 --> 00:05:54,120 Speaker 4: looking at should we make the cheetah endangered? And it's like, well, 112 00:05:54,120 --> 00:05:57,760 Speaker 4: how would that affect the economy. That's never been how 113 00:05:57,880 --> 00:06:01,680 Speaker 4: you decide if something is endangered right now it is, 114 00:06:01,760 --> 00:06:03,520 Speaker 4: So those are the kinds of things that are happening. 115 00:06:03,600 --> 00:06:05,920 Speaker 4: But I would also argue that, like especially we're talking 116 00:06:05,920 --> 00:06:09,520 Speaker 4: about AI, like what the Trump administration is not doing, 117 00:06:09,800 --> 00:06:14,040 Speaker 4: like regulating AI at all is also like equally as detrimental. 118 00:06:14,320 --> 00:06:16,840 Speaker 4: One of the most interesting stories I think I did 119 00:06:16,920 --> 00:06:21,760 Speaker 4: over the last couple months was interviewing two former Microsoft 120 00:06:21,960 --> 00:06:25,640 Speaker 4: employees that were both like really gung ho on AI 121 00:06:25,839 --> 00:06:28,760 Speaker 4: and how awesome it could be for climate change and 122 00:06:28,839 --> 00:06:32,480 Speaker 4: the environment, and we're like working to promote sustainable uses 123 00:06:32,520 --> 00:06:36,120 Speaker 4: of AI at Microsoft, and then eventually had to quit 124 00:06:36,160 --> 00:06:39,159 Speaker 4: because they saw what the company was doing with like 125 00:06:39,279 --> 00:06:43,200 Speaker 4: totally in their totally unregulated environment, which was mostly selling 126 00:06:43,240 --> 00:06:46,040 Speaker 4: their AI to oil and gas companies. 127 00:06:46,360 --> 00:06:50,080 Speaker 3: To want to laugh because it's so dark, but it's 128 00:06:50,160 --> 00:06:50,800 Speaker 3: really dark. 129 00:06:50,880 --> 00:06:52,960 Speaker 4: Yeah, because it sounds like I'm making this up, and 130 00:06:53,040 --> 00:06:54,920 Speaker 4: sometimes I pretend I am making it up. 131 00:06:54,920 --> 00:06:55,640 Speaker 2: I'm like, yeah, yeah. 132 00:06:56,000 --> 00:06:58,080 Speaker 4: What they told me is that they think that one 133 00:06:58,120 --> 00:07:01,840 Speaker 4: of Microsoft's the biggest use case for Microsoft's AI today 134 00:07:02,040 --> 00:07:04,359 Speaker 4: is the application where they sell it to oil and 135 00:07:04,360 --> 00:07:07,960 Speaker 4: gas companies. So that oil and gas companies can find 136 00:07:08,480 --> 00:07:12,080 Speaker 4: and extract more oil more easily. So like ver AI 137 00:07:12,400 --> 00:07:15,680 Speaker 4: helps the oil and gas companies essentially scan underground and. 138 00:07:15,640 --> 00:07:17,760 Speaker 3: Be like, there's some oil. There's some oil. 139 00:07:17,840 --> 00:07:20,360 Speaker 4: Like, here's how we can get it more efficiently. I'm 140 00:07:20,400 --> 00:07:21,160 Speaker 4: saying in the. 141 00:07:21,120 --> 00:07:23,800 Speaker 3: Most you know, in the least technical way possible. 142 00:07:23,960 --> 00:07:29,280 Speaker 4: But it helps these companies drill more more efficiently and 143 00:07:29,720 --> 00:07:30,480 Speaker 4: profit more. 144 00:07:30,560 --> 00:07:34,880 Speaker 1: So well good, but al Gore is still optimistic, So 145 00:07:34,960 --> 00:07:35,760 Speaker 1: talk to me about that. 146 00:07:36,360 --> 00:07:39,280 Speaker 4: Yeah, I interviewed al Gore, which is not something that 147 00:07:39,360 --> 00:07:41,800 Speaker 4: I would honestly, it's like not something I ever thought 148 00:07:41,800 --> 00:07:44,120 Speaker 4: that I would ever say that I did because like, 149 00:07:44,440 --> 00:07:46,960 Speaker 4: I don't know who cares about al Gore, but I've 150 00:07:46,960 --> 00:07:50,480 Speaker 4: really found it over I've been surprised by him over 151 00:07:50,480 --> 00:07:51,440 Speaker 4: the last couple of years. 152 00:07:51,640 --> 00:07:54,160 Speaker 1: Yeah, so talk to me about al Gore. What's his 153 00:07:54,280 --> 00:07:55,080 Speaker 1: thinking here? 154 00:07:55,280 --> 00:07:57,679 Speaker 4: So, one thing I've really learned about al Gore recently 155 00:07:57,720 --> 00:07:59,600 Speaker 4: is that he's like really not afraid to talk shit 156 00:07:59,800 --> 00:08:01,360 Speaker 4: on on fossil fuels. 157 00:08:01,080 --> 00:08:03,200 Speaker 2: Which I like nobody else does. 158 00:08:03,360 --> 00:08:05,840 Speaker 3: Yeah, he's becoming more and more dark Gore in this. 159 00:08:06,840 --> 00:08:10,200 Speaker 4: He's like the fossil fuel industry is sabotaging all of 160 00:08:10,200 --> 00:08:13,160 Speaker 4: our progress, Like our biggest problem is political influence by 161 00:08:13,200 --> 00:08:15,760 Speaker 4: this industry, Like politicians on the left and the right 162 00:08:15,800 --> 00:08:18,440 Speaker 4: are being bought off, Like we have to exclude them 163 00:08:18,440 --> 00:08:19,239 Speaker 4: from this process. 164 00:08:19,280 --> 00:08:21,680 Speaker 3: He's the last couple of years been super. 165 00:08:21,440 --> 00:08:24,720 Speaker 4: Gung ho, not just on like educating about the science, 166 00:08:24,760 --> 00:08:29,360 Speaker 4: which he's always been, but really becoming a for lack 167 00:08:29,360 --> 00:08:32,480 Speaker 4: of a better word, propagandist against big oil and big 168 00:08:32,520 --> 00:08:33,880 Speaker 4: oil's political influence. 169 00:08:34,160 --> 00:08:35,240 Speaker 2: And what does he think. 170 00:08:35,720 --> 00:08:41,200 Speaker 4: Yeah, so he is pretty convinced that the oil industry 171 00:08:41,840 --> 00:08:45,080 Speaker 4: is just trying to suck up all that it can 172 00:08:45,240 --> 00:08:47,920 Speaker 4: for the next couple of years under Trump because they 173 00:08:48,000 --> 00:08:50,760 Speaker 4: also know that they're losing around the world. And that 174 00:08:50,880 --> 00:08:53,560 Speaker 4: was sort of his take away from COP thirty in 175 00:08:53,600 --> 00:08:57,480 Speaker 4: Brazil was that so many nations and like he would say, 176 00:08:57,480 --> 00:09:01,480 Speaker 4: the majority of nations are actually committed to the science 177 00:09:01,520 --> 00:09:04,959 Speaker 4: and committing to transition away from fossil fuels, and scares 178 00:09:05,040 --> 00:09:07,200 Speaker 4: the shit out of the industry, which the oil industry, 179 00:09:07,200 --> 00:09:10,880 Speaker 4: which is why they're so aggressively trying to strong arm 180 00:09:10,920 --> 00:09:14,960 Speaker 4: these negotiations, which they were successful in doing, because you know, 181 00:09:15,000 --> 00:09:18,600 Speaker 4: Saudi Arabia is there, Russia is there. Those are essentially 182 00:09:18,640 --> 00:09:21,000 Speaker 4: two arms of the oil industry, right, and if you 183 00:09:21,120 --> 00:09:24,720 Speaker 4: need every single country at a COP to get an agreement, 184 00:09:24,920 --> 00:09:26,920 Speaker 4: then you're not going to get a great agreement because 185 00:09:26,920 --> 00:09:27,840 Speaker 4: Saudi Arabia. 186 00:09:27,520 --> 00:09:30,000 Speaker 3: And there and they're essentially arms of the oil industry. 187 00:09:30,080 --> 00:09:34,280 Speaker 4: So, like Albor is not denying that that influence is there, 188 00:09:34,320 --> 00:09:39,720 Speaker 4: but he's of the opinion that their aggressive presence is 189 00:09:39,840 --> 00:09:42,640 Speaker 4: merely like a smoke screen for their fear. And what 190 00:09:42,800 --> 00:09:45,760 Speaker 4: is happening Like South Korea, it's one of the seventh 191 00:09:45,840 --> 00:09:48,920 Speaker 4: I think, like the seventh largest coal fleet in the world, 192 00:09:49,120 --> 00:09:52,160 Speaker 4: you know, made a commitment at this cop to completely 193 00:09:52,200 --> 00:09:55,360 Speaker 4: phase out coal from their whole economy, which is pretty big. 194 00:09:55,400 --> 00:09:57,920 Speaker 4: I mean, that's a big hit for the coal industry 195 00:09:57,960 --> 00:10:01,079 Speaker 4: over there. But that's how and then and eighty countries 196 00:10:01,280 --> 00:10:05,880 Speaker 4: signed an agreement to explicitly, like fully transition away from 197 00:10:05,920 --> 00:10:09,480 Speaker 4: fossil fuels, and like say, we away from fossil fuels. 198 00:10:09,520 --> 00:10:12,120 Speaker 4: That's like the biggest language thing that is going on 199 00:10:12,160 --> 00:10:15,040 Speaker 4: at these cops. So Gore is also really convinced that 200 00:10:15,200 --> 00:10:16,960 Speaker 4: like Trump is a lame. 201 00:10:16,880 --> 00:10:18,199 Speaker 2: Duck, which is true. 202 00:10:18,520 --> 00:10:22,200 Speaker 4: Essentially, he is more optimistic than I would have expected 203 00:10:22,240 --> 00:10:25,440 Speaker 4: him to be, just coming out of a climate summit 204 00:10:25,520 --> 00:10:29,040 Speaker 4: that was like literally on fire and flooded and didn't 205 00:10:29,040 --> 00:10:31,559 Speaker 4: produce an agreement where all the countries agreed to transition 206 00:10:31,559 --> 00:10:34,559 Speaker 4: away from fossil fuels. He's like, yeah, but he's like, 207 00:10:34,600 --> 00:10:36,800 Speaker 4: the majority of the world is on the right track. 208 00:10:36,920 --> 00:10:38,480 Speaker 3: The United States is just behind. 209 00:10:39,120 --> 00:10:42,959 Speaker 2: Wow. Why, I mean, I'm excited. I'm happy that he 210 00:10:43,040 --> 00:10:43,400 Speaker 2: thinks that. 211 00:10:43,760 --> 00:10:47,120 Speaker 1: Does he just think that solar and wind are so 212 00:10:47,200 --> 00:10:50,559 Speaker 1: much cheaper than eventually they're unstoppable. 213 00:10:51,000 --> 00:10:52,200 Speaker 3: So that's part of it. 214 00:10:52,240 --> 00:10:56,280 Speaker 4: And then the other thing is that he's really inspired 215 00:10:56,400 --> 00:11:00,000 Speaker 4: by the midterm election results. 216 00:10:59,679 --> 00:11:03,800 Speaker 1: The five cycle, which is sort of the mean mid terms. 217 00:11:03,280 --> 00:11:08,600 Speaker 4: Correct, and then all of the political opposition to Trump, 218 00:11:08,760 --> 00:11:10,800 Speaker 4: the no Kings days, all that. So I think what 219 00:11:10,840 --> 00:11:13,760 Speaker 4: he's trying to do, if I were to hyperanalyze his 220 00:11:14,080 --> 00:11:19,640 Speaker 4: politician speak, really he's trying to build momentum to say 221 00:11:19,720 --> 00:11:24,040 Speaker 4: that as long as we keep opposition high, we can 222 00:11:24,160 --> 00:11:28,280 Speaker 4: reverse these policies, or we can stem some of this damage. 223 00:11:28,320 --> 00:11:30,760 Speaker 4: And he's like, we're really on a good track. We 224 00:11:30,880 --> 00:11:32,480 Speaker 4: just have to keep pushing. 225 00:11:32,720 --> 00:11:34,600 Speaker 2: Do you agree with that? You don't agree with that. 226 00:11:34,920 --> 00:11:37,120 Speaker 3: I don't think good track exists. 227 00:11:38,800 --> 00:11:42,360 Speaker 4: So being a climate reporter for so long at this point, 228 00:11:42,440 --> 00:11:45,480 Speaker 4: it's like I long ago abandoned the idea that like 229 00:11:45,559 --> 00:11:50,000 Speaker 4: we're gonna get out of this without being like pretty fucked. Yeah, 230 00:11:50,040 --> 00:11:52,920 Speaker 4: being pretty fucked But I do understand that there's like 231 00:11:52,960 --> 00:11:55,920 Speaker 4: always a degree of things can always get more fucked up, 232 00:11:56,080 --> 00:11:58,360 Speaker 4: more and more fucked up. I actually do think that 233 00:11:58,480 --> 00:12:02,360 Speaker 4: we can limit the fuck upness to a degree that 234 00:12:02,520 --> 00:12:05,440 Speaker 4: perhaps the US will be able to manage. I think 235 00:12:05,520 --> 00:12:08,400 Speaker 4: that like things will get pretty fucked up a new 236 00:12:08,440 --> 00:12:10,640 Speaker 4: global South, and I think things will get fucked up 237 00:12:10,679 --> 00:12:13,839 Speaker 4: here too, But I also think that there's a limit, 238 00:12:14,040 --> 00:12:16,640 Speaker 4: like we can we can severely limit that, and that's 239 00:12:16,679 --> 00:12:19,760 Speaker 4: always what I'm hoping for, right the least amount of 240 00:12:20,040 --> 00:12:20,760 Speaker 4: that possible. 241 00:12:21,040 --> 00:12:25,520 Speaker 1: So you are basically in the same spot that I am, 242 00:12:25,760 --> 00:12:29,280 Speaker 1: which is that you worry about wet bulb, like we're 243 00:12:29,280 --> 00:12:34,440 Speaker 1: going to see dystopian stuff in Dubai in the area, Yeah, 244 00:12:34,559 --> 00:12:36,520 Speaker 1: where people are going to die because it's just so 245 00:12:36,679 --> 00:12:39,120 Speaker 1: hot they can't get cold or they can't get cool. 246 00:12:39,600 --> 00:12:44,520 Speaker 1: But you think that sort of absolent modern cities will 247 00:12:44,559 --> 00:12:47,040 Speaker 1: be able to somehow make it through. 248 00:12:47,120 --> 00:12:49,440 Speaker 4: Like I think that the rich people in affluent modern 249 00:12:49,480 --> 00:12:51,120 Speaker 4: cities will be able to make it through. But like 250 00:12:51,400 --> 00:12:55,640 Speaker 4: you know, I think we need really really aggressive adaptation 251 00:12:56,120 --> 00:13:00,560 Speaker 4: efforts in addition to our mitigation efforts, because you know, 252 00:13:00,640 --> 00:13:04,160 Speaker 4: it's not like America is a fully a first world country. 253 00:13:04,400 --> 00:13:06,920 Speaker 3: Really were a lot of vulnerable people. 254 00:13:06,679 --> 00:13:11,280 Speaker 4: Living here in poverty and are on coastlines, and especially 255 00:13:11,760 --> 00:13:14,880 Speaker 4: in cities that are that historically don't get very hot, 256 00:13:14,960 --> 00:13:17,720 Speaker 4: and then they don't have they don't have cooling infrastructure. 257 00:13:17,960 --> 00:13:20,560 Speaker 4: The problem with this administration is that it's like not 258 00:13:21,160 --> 00:13:25,640 Speaker 4: it so rejects climate science that it doesn't even do 259 00:13:25,840 --> 00:13:29,720 Speaker 4: the thing that you know, some kind of moderate Republicans 260 00:13:29,800 --> 00:13:31,680 Speaker 4: used to do in the past, where they're like, climate 261 00:13:31,760 --> 00:13:34,400 Speaker 4: change is real, but we can just adapt, so we'll 262 00:13:35,000 --> 00:13:39,559 Speaker 4: will support like adaptation policies and just not limit fossil fuels. 263 00:13:39,840 --> 00:13:43,560 Speaker 4: That's not happening at all either, because like there's because 264 00:13:43,600 --> 00:13:46,200 Speaker 4: it's the policy of this administration. 265 00:13:45,840 --> 00:13:49,040 Speaker 3: Is climate change is a scam. It is fake. I 266 00:13:49,040 --> 00:13:51,640 Speaker 3: mean it's it's literally on the EPA. 267 00:13:52,000 --> 00:13:55,400 Speaker 4: The EPA website now doesn't even list human causes as 268 00:13:55,800 --> 00:13:57,679 Speaker 4: as climate change. The first thing you I think if 269 00:13:57,679 --> 00:14:00,160 Speaker 4: you go to EPA dot gov the climate change website now, 270 00:14:00,240 --> 00:14:03,559 Speaker 4: it's like climate change like the first the first thing 271 00:14:03,679 --> 00:14:06,800 Speaker 4: listed for what's causing it is like the orbit of 272 00:14:06,840 --> 00:14:08,680 Speaker 4: the Earth has changed, and. 273 00:14:08,720 --> 00:14:12,080 Speaker 3: You're like, what the fuck does that mean? So it's 274 00:14:12,120 --> 00:14:13,439 Speaker 3: just a bunch of mambo jumbo. 275 00:14:13,559 --> 00:14:16,240 Speaker 4: But I will say, like a lot of that really 276 00:14:16,480 --> 00:14:21,280 Speaker 4: really catastrophic, those really really catastrophic projections that were coming 277 00:14:21,320 --> 00:14:25,960 Speaker 4: out like eight years ago, right, those look increasingly less likely. 278 00:14:26,240 --> 00:14:29,800 Speaker 4: Like a five degree scenario we're looking at like a 279 00:14:29,920 --> 00:14:31,880 Speaker 4: I don't know if this means anything to your listeners, 280 00:14:31,880 --> 00:14:33,840 Speaker 4: but like a two two. 281 00:14:33,760 --> 00:14:35,480 Speaker 3: And a half to three degree scenario, which. 282 00:14:35,360 --> 00:14:39,520 Speaker 1: Is I mean it's also catastrophic, but not quite as catastrophe. 283 00:14:39,040 --> 00:14:40,800 Speaker 4: Right, I mean these are still situations where all the 284 00:14:40,800 --> 00:14:43,320 Speaker 4: corals in the ocean die, right, which is like I 285 00:14:43,760 --> 00:14:46,960 Speaker 4: really don't want that. But it's so difficult to talk 286 00:14:47,000 --> 00:14:49,560 Speaker 4: about these kinds of things because it's like, how can 287 00:14:49,600 --> 00:14:52,640 Speaker 4: you even imagine like the difference between you can't super 288 00:14:53,040 --> 00:14:56,320 Speaker 4: category and aulter catastrophe. And it's gonna look different for 289 00:14:56,400 --> 00:14:58,880 Speaker 4: every single person. But that's why I always just come 290 00:14:58,920 --> 00:15:01,240 Speaker 4: back to like, Okay, I can't predict the future, but 291 00:15:01,320 --> 00:15:04,640 Speaker 4: I can like do my best to try to sign 292 00:15:04,720 --> 00:15:08,200 Speaker 4: me the worst outcome, right, And that's that's all I. 293 00:15:08,080 --> 00:15:10,480 Speaker 3: Can do, so like it doesn't matter. 294 00:15:10,560 --> 00:15:13,440 Speaker 4: It really doesn't matter to me, Like what the outcome 295 00:15:13,560 --> 00:15:15,920 Speaker 4: is gonna be at the end of the day. That's 296 00:15:15,960 --> 00:15:18,040 Speaker 4: sort of how I've decided to deal with it. I 297 00:15:18,040 --> 00:15:19,800 Speaker 4: don't know what the outcome is going to be. I 298 00:15:19,840 --> 00:15:21,600 Speaker 4: can't decide what the alchemis is going to be, but 299 00:15:21,640 --> 00:15:23,640 Speaker 4: I know that, like I would like to fight for 300 00:15:23,760 --> 00:15:25,160 Speaker 4: it to be a better outcome. 301 00:15:25,760 --> 00:15:29,000 Speaker 1: No, I know, and you have the problems of being 302 00:15:29,040 --> 00:15:32,520 Speaker 1: a climate reporter, and I'm sorry that you do, because 303 00:15:32,800 --> 00:15:34,320 Speaker 1: it's fucking bleak. 304 00:15:34,640 --> 00:15:34,720 Speaker 2: No. 305 00:15:34,960 --> 00:15:37,920 Speaker 1: I mean I when I talk to you, I'm always 306 00:15:38,160 --> 00:15:42,000 Speaker 1: you know, you have this incredible site which hundreds of 307 00:15:42,080 --> 00:15:47,000 Speaker 1: thousands of people are now subscribed to, which makes me happy. 308 00:15:47,040 --> 00:15:50,040 Speaker 1: But you have a real book the problem which is 309 00:15:50,600 --> 00:15:53,760 Speaker 1: that you know, you're like seeing the future in a 310 00:15:53,840 --> 00:15:54,440 Speaker 1: terrible way. 311 00:15:54,440 --> 00:15:55,920 Speaker 2: And I'm sorry, thank you. 312 00:15:56,000 --> 00:15:58,640 Speaker 4: Someone asked me recently, They're like, why did you decide 313 00:15:58,640 --> 00:16:00,000 Speaker 4: to get into climate change report? 314 00:16:00,200 --> 00:16:01,960 Speaker 3: And I was like, because that was my beat. 315 00:16:02,200 --> 00:16:03,720 Speaker 4: I don't know, Like I don't think I would have 316 00:16:03,800 --> 00:16:07,160 Speaker 4: chosen this, you know, like you working at a newspaper 317 00:16:07,200 --> 00:16:09,160 Speaker 4: and they're like, here's your beat, it's climate change and 318 00:16:09,200 --> 00:16:11,520 Speaker 4: you're like, yeah, so that's what it is. 319 00:16:11,960 --> 00:16:14,600 Speaker 1: Well, but also like, why are we not all running 320 00:16:14,600 --> 00:16:17,960 Speaker 1: a bow climate change because Americans can't hear it because 321 00:16:18,000 --> 00:16:18,840 Speaker 1: it's too scary? 322 00:16:19,200 --> 00:16:21,120 Speaker 2: What you do is so valuable and important. 323 00:16:21,280 --> 00:16:22,120 Speaker 3: Thank you so much. 324 00:16:22,400 --> 00:16:24,840 Speaker 4: I feel like the more you understand it, though, like 325 00:16:24,920 --> 00:16:27,880 Speaker 4: I would even counter like the fact that Americans can't 326 00:16:27,880 --> 00:16:30,040 Speaker 4: hear it because it's too scary, I would counter that 327 00:16:30,120 --> 00:16:33,360 Speaker 4: the more you learn about it, like the simpler it 328 00:16:33,440 --> 00:16:35,720 Speaker 4: kind of gets. It becomes less scary to me and 329 00:16:35,760 --> 00:16:38,400 Speaker 4: more frustrating, because the more I learn about it, the 330 00:16:38,520 --> 00:16:40,640 Speaker 4: more simple it gets. In my mind, I'm like, oh, 331 00:16:41,000 --> 00:16:43,600 Speaker 4: so you're saying we know the problem. We've actually known 332 00:16:43,640 --> 00:16:45,720 Speaker 4: the problem for a really long time, and we know 333 00:16:45,880 --> 00:16:47,920 Speaker 4: the solution, you know, and so you're. 334 00:16:47,760 --> 00:16:50,440 Speaker 3: Like, okay, but it's cruse solution. 335 00:16:50,880 --> 00:16:52,960 Speaker 4: And then what's so frustrating about is that we get 336 00:16:52,960 --> 00:16:55,200 Speaker 4: stuck in these loops of like, well, do we know 337 00:16:55,280 --> 00:16:58,040 Speaker 4: the problem and do we know the solution? Yeah, we do. 338 00:16:58,800 --> 00:17:01,520 Speaker 4: That's the most frustrating part is like just being stuck 339 00:17:01,560 --> 00:17:04,520 Speaker 4: in these loops where I'm back to, you know, deciding 340 00:17:04,520 --> 00:17:06,959 Speaker 4: if I'm going to cover the fact that the EPA 341 00:17:07,080 --> 00:17:10,080 Speaker 4: website now just is a climate denial website. I'm like, 342 00:17:10,119 --> 00:17:12,320 Speaker 4: this is so stupid, Like, can't we just move this 343 00:17:12,400 --> 00:17:15,720 Speaker 4: conversation forward? But fortunately, as al Gore said, most of 344 00:17:15,760 --> 00:17:19,200 Speaker 4: the world is moving this conversation forward, right, Thank god, 345 00:17:19,280 --> 00:17:20,480 Speaker 4: Thank god for our Gore. 346 00:17:20,840 --> 00:17:22,240 Speaker 3: Yeah, thanks to the reminder. 347 00:17:23,160 --> 00:17:25,760 Speaker 2: Thank you, Emily. Please come back. 348 00:17:25,720 --> 00:17:27,240 Speaker 3: Anytime, anytime. 349 00:17:31,480 --> 00:17:34,800 Speaker 1: We have exciting news over at our YouTube channel. The 350 00:17:34,920 --> 00:17:38,960 Speaker 1: second episode from our Project twenty twenty nine series is 351 00:17:39,000 --> 00:17:42,720 Speaker 1: out now. It's a reimagining where we examine what went 352 00:17:42,760 --> 00:17:45,680 Speaker 1: wrong with democrats approach to politics and how we can 353 00:17:45,720 --> 00:17:49,000 Speaker 1: correct it and deliver changes to help people's lives. The 354 00:17:49,080 --> 00:17:53,600 Speaker 1: first episode dove into the very sexy topic of campaign 355 00:17:53,720 --> 00:17:57,359 Speaker 1: finance reform, and our second episode deals with an even 356 00:17:57,480 --> 00:18:03,840 Speaker 1: sexier topic, antitrust and regulation. We look at how antitrust 357 00:18:03,960 --> 00:18:09,280 Speaker 1: and regulation can protect American citizens and make America thrive 358 00:18:09,840 --> 00:18:14,200 Speaker 1: in an era of rampant corruption and predatory crony capitalism. 359 00:18:14,520 --> 00:18:17,480 Speaker 1: We talk to the smartest names in the field, like 360 00:18:17,760 --> 00:18:23,600 Speaker 1: Lena Khan, el Vero Bedoya, Elizabeth Wilkins, and Doha Mechi. 361 00:18:23,840 --> 00:18:27,639 Speaker 1: Republicans were prepared for when they got the levers of power. 362 00:18:27,920 --> 00:18:31,200 Speaker 1: We need Democrats to be too, so Please head over 363 00:18:31,240 --> 00:18:35,160 Speaker 1: to YouTube and search Mollie John Fast Project twenty twenty nine, 364 00:18:35,440 --> 00:18:39,879 Speaker 1: or go to the Fast Politics YouTube channel and find 365 00:18:39,880 --> 00:18:41,520 Speaker 1: it there and help us. 366 00:18:41,400 --> 00:18:42,080 Speaker 2: Spread the word. 367 00:18:43,960 --> 00:18:46,639 Speaker 1: Amanda Litman is the co founder of Run for Something 368 00:18:46,680 --> 00:18:49,680 Speaker 1: and the author of the new book When We're in Charge, 369 00:18:50,000 --> 00:18:54,200 Speaker 1: The Next Generation's Guide to Leadership. Welcome back to Fast Politics, 370 00:18:54,200 --> 00:18:54,960 Speaker 1: Amanda Lutman. 371 00:18:55,560 --> 00:18:58,000 Speaker 2: Thanks Molly, president of Run for Something. 372 00:18:58,880 --> 00:19:01,080 Speaker 1: Let's talk what is going on? 373 00:19:01,680 --> 00:19:04,040 Speaker 5: No, it's been a good year for young people running 374 00:19:04,040 --> 00:19:06,840 Speaker 5: for local office all across the country, which we love 375 00:19:06,920 --> 00:19:09,000 Speaker 5: to see it. We had one hundred and sixty six 376 00:19:09,040 --> 00:19:11,760 Speaker 5: wins this year, like more than half of our candidates, 377 00:19:11,800 --> 00:19:14,320 Speaker 5: and on election night in November, more than two thirds 378 00:19:14,320 --> 00:19:17,320 Speaker 5: of our candidates, including forty three red to blue flips 379 00:19:17,359 --> 00:19:21,120 Speaker 5: all across the country. Plus we had me. At this point, 380 00:19:21,160 --> 00:19:23,560 Speaker 5: we're over eighty thousand people who've raised their hands to 381 00:19:23,560 --> 00:19:25,040 Speaker 5: say they want to run for office in the last 382 00:19:25,040 --> 00:19:27,040 Speaker 5: twelve months. That's more than we had in the entirety 383 00:19:27,040 --> 00:19:29,600 Speaker 5: of Trump's first term. So things are good, which is 384 00:19:29,600 --> 00:19:31,280 Speaker 5: a really weird feeling in twenty twenty five. 385 00:19:31,960 --> 00:19:35,920 Speaker 1: So why are more people running for office now than 386 00:19:35,960 --> 00:19:37,359 Speaker 1: they were during Trump? 387 00:19:37,560 --> 00:19:39,399 Speaker 2: One point? Now well, your part of his. 388 00:19:39,440 --> 00:19:41,280 Speaker 5: Room for something's been around a little longer, so people 389 00:19:41,320 --> 00:19:42,840 Speaker 5: know if they want to run, we are here to 390 00:19:42,840 --> 00:19:45,120 Speaker 5: help them. But I actually think one of the things 391 00:19:45,160 --> 00:19:47,200 Speaker 5: that we've heard this year that we didn't hear during 392 00:19:47,200 --> 00:19:50,400 Speaker 5: Trump one point zero is people quite explicitly saying I'm 393 00:19:50,440 --> 00:19:53,040 Speaker 5: done waiting my turn. I'm not asking for permission, i 394 00:19:53,119 --> 00:19:54,680 Speaker 5: am sick of the status quo. I'm sick of the 395 00:19:54,720 --> 00:19:56,600 Speaker 5: people in charge. I'm not getting in the back of 396 00:19:56,600 --> 00:19:59,359 Speaker 5: the line. I'm ready to run and I'm not going 397 00:19:59,359 --> 00:20:01,920 Speaker 5: to let any stop me. The number one issue, as 398 00:20:01,920 --> 00:20:03,119 Speaker 5: it has been for a while and now has been 399 00:20:03,160 --> 00:20:07,919 Speaker 5: affordable housing, you know, childcare, transportation. But that, like frustration 400 00:20:08,040 --> 00:20:10,960 Speaker 5: with the status quo, is so loud that in a 401 00:20:11,000 --> 00:20:12,560 Speaker 5: way that it wasn't the first time around. 402 00:20:12,640 --> 00:20:16,560 Speaker 1: I want to talk about that because the polling we 403 00:20:16,640 --> 00:20:21,720 Speaker 1: see shows voters mad at Trump, very mad at Trump. 404 00:20:21,920 --> 00:20:27,760 Speaker 1: But then unlike twenty sixteen, they're not happy with Schumer, 405 00:20:28,119 --> 00:20:31,520 Speaker 1: They're not happy with a chem They're mad at Democrats 406 00:20:31,600 --> 00:20:35,119 Speaker 1: writ large. Is that what you got people coming and 407 00:20:35,160 --> 00:20:35,679 Speaker 1: saying to you. 408 00:20:36,440 --> 00:20:39,520 Speaker 5: Absolutely, they're just curious, They're like, why should I settle 409 00:20:39,560 --> 00:20:42,160 Speaker 5: for these leaders? They are not fighting, they're not standing 410 00:20:42,240 --> 00:20:44,399 Speaker 5: up for my community. They have made things better. I 411 00:20:44,400 --> 00:20:48,640 Speaker 5: think that visceral frustration with the status quo of both parties. 412 00:20:48,680 --> 00:20:50,000 Speaker 5: And you know, I'm not going to be like both 413 00:20:50,040 --> 00:20:53,200 Speaker 5: sides are bad, but that frustration with people in both 414 00:20:53,240 --> 00:20:57,040 Speaker 5: parties is so deep seated that it is pushing people 415 00:20:57,080 --> 00:20:59,240 Speaker 5: to make the kinds of changes in their life and 416 00:20:59,240 --> 00:21:02,440 Speaker 5: in their activism that we just didn't see back in 417 00:21:02,480 --> 00:21:05,679 Speaker 5: twenty seventeen to twenty twenty, in part because at that 418 00:21:05,800 --> 00:21:09,040 Speaker 5: point Democrats were a little better at fighting. This time around, 419 00:21:09,160 --> 00:21:11,560 Speaker 5: the people at the top aren't, but the people who 420 00:21:11,600 --> 00:21:13,800 Speaker 5: are going to be the leaders are really ready to 421 00:21:13,800 --> 00:21:14,080 Speaker 5: get in. 422 00:21:14,920 --> 00:21:18,000 Speaker 1: So do you think that a Democrat like when people 423 00:21:18,080 --> 00:21:21,320 Speaker 1: say it's a Democratic tea party, do you think that's true? 424 00:21:21,680 --> 00:21:22,280 Speaker 2: Correct? 425 00:21:23,080 --> 00:21:25,360 Speaker 5: I do, And I think like you have to keep 426 00:21:25,359 --> 00:21:28,800 Speaker 5: in mind that most incumbents win, just generally, most incumbents 427 00:21:28,840 --> 00:21:31,280 Speaker 5: win like like a ninety five percent reelection rate. It's 428 00:21:31,440 --> 00:21:33,840 Speaker 5: really hard to take out an incumbent in a primary. 429 00:21:34,320 --> 00:21:37,360 Speaker 5: The fact that there are so many competitive primary challenges, 430 00:21:37,400 --> 00:21:39,520 Speaker 5: the fact that there's a ton of open races because 431 00:21:39,560 --> 00:21:41,760 Speaker 5: thank god, many of these older leaders not enough, but 432 00:21:41,800 --> 00:21:43,960 Speaker 5: many of them are retiring and making it their last 433 00:21:44,040 --> 00:21:47,360 Speaker 5: term that many of them are like being outraised by 434 00:21:47,359 --> 00:21:50,800 Speaker 5: their challenge. Even if the incumbents hold on to power, 435 00:21:50,840 --> 00:21:52,439 Speaker 5: which I don't think in all of these is a 436 00:21:52,480 --> 00:21:54,920 Speaker 5: sure thing. They are going to be forced a campaign 437 00:21:55,040 --> 00:21:56,600 Speaker 5: in twenty twenty six in a way they haven't in 438 00:21:56,680 --> 00:21:58,520 Speaker 5: years past, and that is a good thing. It's going 439 00:21:58,560 --> 00:22:00,560 Speaker 5: to be a different Democratic Party at the end of 440 00:22:00,560 --> 00:22:02,840 Speaker 5: twenty twenty six, and it is in the beginning, and 441 00:22:02,920 --> 00:22:05,359 Speaker 5: I am cautiously optimistic it'll be for the better. 442 00:22:06,040 --> 00:22:09,760 Speaker 1: So what does that mean, Like, are you seeing people 443 00:22:10,160 --> 00:22:13,360 Speaker 1: primary and so first let's talk about red. I want 444 00:22:13,400 --> 00:22:15,080 Speaker 1: you to talk about the red to blue flips. Give 445 00:22:15,119 --> 00:22:17,280 Speaker 1: me a few examples of red to blue flips that 446 00:22:17,320 --> 00:22:17,720 Speaker 1: you had. 447 00:22:17,920 --> 00:22:20,440 Speaker 5: So we had folks like Will Rivera and the Onionta 448 00:22:20,640 --> 00:22:26,000 Speaker 5: County Legislature in New York, first generation college grad, cancer survivor, 449 00:22:26,119 --> 00:22:29,360 Speaker 5: local activist was really running on affordable housing. Was part 450 00:22:29,400 --> 00:22:32,280 Speaker 5: of a wave of young leaders who flipped seats across 451 00:22:32,359 --> 00:22:34,119 Speaker 5: the state of New York. There was more than fifty 452 00:22:34,160 --> 00:22:35,960 Speaker 5: red to blue flips across the state of New York. 453 00:22:36,000 --> 00:22:37,760 Speaker 5: You know, most of the attention went to Zorn, but 454 00:22:38,080 --> 00:22:41,000 Speaker 5: Republicans had a terrible night here in the umpire's date. 455 00:22:41,160 --> 00:22:44,520 Speaker 5: Even then there was only one Republican like blue to 456 00:22:44,600 --> 00:22:46,760 Speaker 5: red flip oh fifty. 457 00:22:46,840 --> 00:22:48,960 Speaker 1: So we had a good We had a good night 458 00:22:49,280 --> 00:22:51,719 Speaker 1: even in South County because that was the one that 459 00:22:51,800 --> 00:22:52,240 Speaker 1: I heard. 460 00:22:52,400 --> 00:22:53,439 Speaker 2: There was some kind. 461 00:22:53,359 --> 00:22:56,280 Speaker 5: Of yeah, but generally speaking like you didn't want me 462 00:22:56,280 --> 00:22:57,160 Speaker 5: a New York Republican. 463 00:22:57,600 --> 00:22:58,200 Speaker 2: Okay, good. 464 00:22:59,320 --> 00:23:03,120 Speaker 5: Current favorite is this guy, Andrew Harbough, a current journalist, 465 00:23:03,200 --> 00:23:06,160 Speaker 5: sports journalist, and a former Republican who left the party 466 00:23:06,160 --> 00:23:09,000 Speaker 5: after January sixth. He's a parent of two young kids, 467 00:23:09,240 --> 00:23:11,359 Speaker 5: one of whom is special needs, and the customer Department 468 00:23:11,400 --> 00:23:14,159 Speaker 5: of Education, we're going to directly affect his kids' education 469 00:23:14,320 --> 00:23:16,639 Speaker 5: in the services his kid was getting through school. The 470 00:23:16,640 --> 00:23:18,959 Speaker 5: Medicaid cuts were also going to directly affect his kids. 471 00:23:19,080 --> 00:23:21,920 Speaker 5: So he ran for Borough Common Council, which is like 472 00:23:21,960 --> 00:23:24,840 Speaker 5: a county government office or a local government office, and 473 00:23:24,880 --> 00:23:27,440 Speaker 5: slipped the seat red to blue in a district county 474 00:23:27,440 --> 00:23:29,040 Speaker 5: that Trump won seventy thirty. 475 00:23:29,240 --> 00:23:30,720 Speaker 2: Huge, awesome. 476 00:23:31,040 --> 00:23:33,240 Speaker 1: So one of the things Trump said was that he 477 00:23:33,280 --> 00:23:38,480 Speaker 1: said affordability is a hoax. What I think he meant again, 478 00:23:38,880 --> 00:23:41,399 Speaker 1: we never want to be Trump's plainers, but what it 479 00:23:41,520 --> 00:23:45,600 Speaker 1: seems like he meant were that Democrats are using affordability 480 00:23:45,600 --> 00:23:47,159 Speaker 1: but they don't really care about it. 481 00:23:47,480 --> 00:23:47,880 Speaker 2: Whatever. 482 00:23:48,000 --> 00:23:50,639 Speaker 1: I don't think that's true. But what are the things 483 00:23:50,680 --> 00:23:52,320 Speaker 1: that that Democrats are running on. 484 00:23:52,480 --> 00:23:54,359 Speaker 5: I would say that especially the red to blue flips. 485 00:23:54,359 --> 00:23:55,719 Speaker 5: And we went through and looked at all of our 486 00:23:55,760 --> 00:23:58,720 Speaker 5: forty three winners on election night in twenty twenty five November, 487 00:23:58,960 --> 00:24:01,080 Speaker 5: and what we found are a couple things. One, they 488 00:24:01,080 --> 00:24:04,560 Speaker 5: are absolutely runting on affordability and specifically housing. They are 489 00:24:04,600 --> 00:24:06,720 Speaker 5: talking about all the different levers they could pull to 490 00:24:06,760 --> 00:24:08,800 Speaker 5: build more housing, make it easier for people to buy 491 00:24:08,840 --> 00:24:12,280 Speaker 5: a home, make it easier for renters, like really focused 492 00:24:12,320 --> 00:24:14,119 Speaker 5: on when we talk about cost of living, the actual 493 00:24:14,160 --> 00:24:16,920 Speaker 5: biggest category for most people and their expenses is where 494 00:24:16,920 --> 00:24:20,560 Speaker 5: they live, So housing is number one. Number Two, they 495 00:24:20,560 --> 00:24:23,080 Speaker 5: were talking about transparency in a way that actually really 496 00:24:23,119 --> 00:24:25,600 Speaker 5: surprised us. Ninety percent of our red to Blue flips 497 00:24:25,720 --> 00:24:28,399 Speaker 5: specifically named transparency and trust in government, whether it was 498 00:24:28,400 --> 00:24:32,200 Speaker 5: bringing budgeting forward or you know, community modernization, some kind 499 00:24:32,200 --> 00:24:34,600 Speaker 5: of way to make people feel good about government. Again, 500 00:24:35,520 --> 00:24:38,840 Speaker 5: a lot of them talked about if not exactly you know, 501 00:24:39,000 --> 00:24:43,040 Speaker 5: better sidewalks, then the kinds of like very local, lived experience, 502 00:24:43,119 --> 00:24:46,240 Speaker 5: things that make living somewhere either good or bad. They 503 00:24:46,280 --> 00:24:49,400 Speaker 5: were really reflecting the kinds of things that their voters 504 00:24:49,440 --> 00:24:52,120 Speaker 5: cared about. Like you could see it in their queue, 505 00:24:52,240 --> 00:24:53,880 Speaker 5: their ads, their videos, their websites. 506 00:24:53,920 --> 00:24:55,280 Speaker 3: It was obvious that. 507 00:24:55,240 --> 00:24:58,399 Speaker 5: Their campaigns were not their visions. It was that they 508 00:24:58,440 --> 00:25:01,439 Speaker 5: were hearing from voter and how they were going to 509 00:25:01,440 --> 00:25:04,840 Speaker 5: solve their problems. They were across the ideological spectrum in 510 00:25:04,920 --> 00:25:07,639 Speaker 5: terms of Democrats are the left like, they weren't all 511 00:25:07,960 --> 00:25:10,080 Speaker 5: you know, I just said Republican. They weren't all like 512 00:25:10,800 --> 00:25:13,520 Speaker 5: socialist candidates. Most of these red blue flips are not. 513 00:25:13,840 --> 00:25:18,000 Speaker 5: What they are is deeply rooted in community, and they 514 00:25:18,200 --> 00:25:21,360 Speaker 5: love the places they're running. And that feels like such 515 00:25:21,359 --> 00:25:23,280 Speaker 5: an obvious thing to say, but we can both name 516 00:25:23,359 --> 00:25:26,320 Speaker 5: candidates where they are running somewhere they don't actually like. 517 00:25:26,720 --> 00:25:27,840 Speaker 2: Or don't actually live. 518 00:25:28,280 --> 00:25:30,000 Speaker 5: Totally, totally, totally. 519 00:25:30,040 --> 00:25:34,840 Speaker 1: There was this congressional seat that recently Republicans were right 520 00:25:34,880 --> 00:25:36,639 Speaker 1: they were going to lose it. It was at our 521 00:25:36,720 --> 00:25:41,159 Speaker 1: plus twenty two and the Tennessee Jerrymander seat. They want it, 522 00:25:41,200 --> 00:25:44,080 Speaker 1: but they only want it by point. The candidate there 523 00:25:44,160 --> 00:25:48,840 Speaker 1: was very lefty, but she was an activist known in 524 00:25:48,920 --> 00:25:49,679 Speaker 1: the area. 525 00:25:50,000 --> 00:25:53,080 Speaker 5: Right, Yeah, aften Beina run for something alone. We'd worked 526 00:25:53,080 --> 00:25:54,600 Speaker 5: with her in her state House trace a couple of 527 00:25:54,640 --> 00:25:56,679 Speaker 5: years ago, and it's funny, you know. Yeah, she had 528 00:25:56,680 --> 00:25:58,560 Speaker 5: a history of talking about some more of some more 529 00:25:58,800 --> 00:26:01,560 Speaker 5: lefty type stuff her past, but she'd also been a 530 00:26:01,600 --> 00:26:04,639 Speaker 5: fears fighter for grocery taxes and like for getting rid 531 00:26:04,640 --> 00:26:07,760 Speaker 5: of the sales tax on groceries in Tennessee, making food 532 00:26:07,840 --> 00:26:10,520 Speaker 5: more affordable for folks. She was running on affordability and 533 00:26:10,720 --> 00:26:13,760 Speaker 5: she was super compelling, super authentic, really talked about what 534 00:26:13,800 --> 00:26:16,320 Speaker 5: she believed and how it reflected the voters of her community. 535 00:26:16,920 --> 00:26:19,080 Speaker 5: Do I think a more you know, there's this discourse, 536 00:26:19,200 --> 00:26:21,640 Speaker 5: like a more moderate candidate could have made it more competitive. 537 00:26:21,920 --> 00:26:22,560 Speaker 3: Shut the fuck up. 538 00:26:22,600 --> 00:26:23,440 Speaker 5: She won the primary. 539 00:26:23,640 --> 00:26:25,440 Speaker 2: She won the primary. She won the primary. 540 00:26:25,480 --> 00:26:27,240 Speaker 5: And if you think that a more moderate candidate should 541 00:26:27,240 --> 00:26:29,639 Speaker 5: have won, you, whoever the usiness discourse, you should have 542 00:26:29,640 --> 00:26:31,679 Speaker 5: engaged in the primary. She won the primary, and she 543 00:26:31,840 --> 00:26:34,200 Speaker 5: campaigned really hard, and she brought out voters who may 544 00:26:34,200 --> 00:26:35,520 Speaker 5: not have otherwise been excited. 545 00:26:35,200 --> 00:26:35,879 Speaker 2: About this election. 546 00:26:36,119 --> 00:26:38,239 Speaker 1: Let's talk about winning the primary, because I think that 547 00:26:38,480 --> 00:26:42,000 Speaker 1: the more competitive a primary is the better, And I 548 00:26:42,040 --> 00:26:44,840 Speaker 1: think a lot about Biden that a primary would have 549 00:26:44,920 --> 00:26:47,639 Speaker 1: hurt him, that he should have just you know, and 550 00:26:47,760 --> 00:26:51,000 Speaker 1: especially with Harris, that they should just be allowed to 551 00:26:51,080 --> 00:26:54,280 Speaker 1: keep going and that. But do you think a primary 552 00:26:54,320 --> 00:26:58,200 Speaker 1: process actually does get a candidate in a better spot? 553 00:26:58,840 --> 00:26:59,639 Speaker 2: One hundred percent. 554 00:26:59,720 --> 00:27:02,080 Speaker 5: Primary make candidates better because running for office, it's like 555 00:27:02,080 --> 00:27:04,240 Speaker 5: anything else, and which the more practice you get at it, 556 00:27:04,359 --> 00:27:06,000 Speaker 5: the better you get at it. It gives you a 557 00:27:06,040 --> 00:27:08,880 Speaker 5: chance to you know, get more reps in giving your 558 00:27:09,040 --> 00:27:12,560 Speaker 5: some speech and talking to more voters and engaging volunteers. 559 00:27:12,320 --> 00:27:15,280 Speaker 5: Literally gives you more time to raise money and build 560 00:27:15,320 --> 00:27:18,240 Speaker 5: data infrastructure and higher staff. It forces you to talk 561 00:27:18,280 --> 00:27:20,320 Speaker 5: to voters more, which I think is a good thing. 562 00:27:20,440 --> 00:27:22,360 Speaker 5: You get to really hear what they care about. I'm 563 00:27:22,359 --> 00:27:25,360 Speaker 5: not saying that if you can win the primary, then 564 00:27:25,400 --> 00:27:28,280 Speaker 5: you can win the general. Obviously that is not always true. 565 00:27:28,440 --> 00:27:31,560 Speaker 5: Like candidates of either party on the extreme ends win 566 00:27:31,600 --> 00:27:35,000 Speaker 5: primaries and that are very unelectable in the general. But 567 00:27:35,080 --> 00:27:38,359 Speaker 5: if you can't win the primary, you definitely can't win 568 00:27:38,400 --> 00:27:40,240 Speaker 5: the general. That's just how this goes. You've got to 569 00:27:40,240 --> 00:27:41,760 Speaker 5: be able to excite your base, and your base is 570 00:27:41,760 --> 00:27:42,880 Speaker 5: the Democratic crime ary voter. 571 00:27:43,119 --> 00:27:46,280 Speaker 1: So now we look to the midterms and Run for 572 00:27:46,320 --> 00:27:49,480 Speaker 1: Something does do midterms. There's a lot of state seats 573 00:27:49,520 --> 00:27:52,880 Speaker 1: coming up, so talk us through. What are the races 574 00:27:53,000 --> 00:27:56,360 Speaker 1: you are watching organized? 575 00:27:56,840 --> 00:27:58,760 Speaker 5: Yeah, so run for Something. As I said, we've had 576 00:27:59,280 --> 00:28:01,480 Speaker 5: like almost more than eighty thousand people's line up in 577 00:28:01,480 --> 00:28:03,240 Speaker 5: the last year. So we're making sure that as many 578 00:28:03,320 --> 00:28:06,080 Speaker 5: of those folks as possible get plugged into races wherever 579 00:28:06,119 --> 00:28:09,800 Speaker 5: they are, because the battlefields could be super expansive in 580 00:28:09,840 --> 00:28:11,920 Speaker 5: twenty twenty six. If we're going to have a blue wave, 581 00:28:11,960 --> 00:28:14,920 Speaker 5: which I suspect based on every available data point, we will, 582 00:28:14,960 --> 00:28:17,439 Speaker 5: we should be fighting to win in r plus ten 583 00:28:17,560 --> 00:28:20,960 Speaker 5: or plus twenty communities, and we're thinking ahead to twenty 584 00:28:21,080 --> 00:28:23,280 Speaker 5: thirty and twenty thirty two. We laid out earlier this 585 00:28:23,359 --> 00:28:25,399 Speaker 5: year our battle uplant and of a vision to expand 586 00:28:25,400 --> 00:28:27,840 Speaker 5: the battleground map that includes a dozen states where we 587 00:28:27,880 --> 00:28:30,080 Speaker 5: think over the next six years we need to be 588 00:28:30,080 --> 00:28:32,600 Speaker 5: doing this kind of work to build local power so 589 00:28:32,640 --> 00:28:36,199 Speaker 5: that eventually they could be battlegrounds. I'm not saying they 590 00:28:36,200 --> 00:28:37,760 Speaker 5: all will be, but some of them if we don't 591 00:28:37,760 --> 00:28:40,400 Speaker 5: do this work, they never will be. So that includes 592 00:28:40,480 --> 00:28:47,280 Speaker 5: places like you know, Idaho, you taught Nebraska, Arizona, North Carolina, Georgia, Florida, Texas, Ohio, 593 00:28:48,320 --> 00:28:52,000 Speaker 5: and Iowa. I think I got them off places where 594 00:28:52,400 --> 00:28:54,840 Speaker 5: it's going to be really important that we have many 595 00:28:54,840 --> 00:28:57,760 Speaker 5: paths to victory post redistricting in twenty thirty. You know, 596 00:28:57,800 --> 00:28:59,360 Speaker 5: the final thing that we're also keeping an eye on 597 00:28:59,360 --> 00:29:01,920 Speaker 5: in twenty twenty is that so many of our alumni 598 00:29:02,040 --> 00:29:04,200 Speaker 5: are running for higher office, so like, well, we're not 599 00:29:04,280 --> 00:29:08,040 Speaker 5: working with those campaigns directly, we are aggressively rooting for them. 600 00:29:08,320 --> 00:29:11,280 Speaker 5: We have seven run for something running for Senate, including 601 00:29:11,320 --> 00:29:14,360 Speaker 5: two running in Texas. James tell Rico and Jasmine Crockett 602 00:29:14,400 --> 00:29:16,360 Speaker 5: are both run for something along who've come through our 603 00:29:16,400 --> 00:29:19,720 Speaker 5: pipeline in years past for six running for governor, and 604 00:29:19,800 --> 00:29:22,360 Speaker 5: a couple dozen at this point running for US House 605 00:29:22,480 --> 00:29:24,920 Speaker 5: or state wide offices like secretary of State or AG 606 00:29:25,240 --> 00:29:28,440 Speaker 5: or treasurer. And I'm just so excited because that is 607 00:29:28,600 --> 00:29:33,440 Speaker 5: more new energy than the Democrat Party could ever have imagined. 608 00:29:33,480 --> 00:29:35,440 Speaker 5: And I'm really proud that we built that bench that 609 00:29:35,480 --> 00:29:36,080 Speaker 5: can now rise. 610 00:29:36,320 --> 00:29:40,920 Speaker 1: Let's talk about if you're listening to this and you're excited, 611 00:29:41,160 --> 00:29:43,200 Speaker 1: what's the call to action here? 612 00:29:43,880 --> 00:29:46,320 Speaker 5: Two things you should look into running for office. It's 613 00:29:46,360 --> 00:29:48,480 Speaker 5: probably not too late wherever you are, a couple of 614 00:29:48,480 --> 00:29:51,000 Speaker 5: places filing deadlines have passed, but you should look it up. 615 00:29:51,000 --> 00:29:52,680 Speaker 5: You can go to run for wild dot net enter 616 00:29:52,680 --> 00:29:54,440 Speaker 5: your address, see where you might be able to run. 617 00:29:54,720 --> 00:29:56,880 Speaker 5: Send it to a friend who should run. Second thing 618 00:29:56,880 --> 00:29:59,880 Speaker 5: you can do is give money, especially a small recurring donation, 619 00:30:00,120 --> 00:30:02,720 Speaker 5: make it monthly. Run for something dot net slash donate. 620 00:30:03,120 --> 00:30:05,840 Speaker 5: Every dollar goes towards building the largest candidate pipeline in 621 00:30:05,880 --> 00:30:08,680 Speaker 5: politics and then helping those folks run and win, and 622 00:30:08,720 --> 00:30:10,280 Speaker 5: we really need it, so thank you. 623 00:30:10,560 --> 00:30:13,720 Speaker 1: It's someone who sees a lot of candidates, sees a 624 00:30:13,760 --> 00:30:16,800 Speaker 1: lot of Democrats, has real eyes on the ground. What 625 00:30:16,840 --> 00:30:21,720 Speaker 1: do you think are the biggest issues that democrats need? 626 00:30:22,280 --> 00:30:26,720 Speaker 1: Like that, most opportunities, most you know that democrats should 627 00:30:26,800 --> 00:30:29,760 Speaker 1: be when they're looking at this cycle. 628 00:30:30,120 --> 00:30:32,520 Speaker 5: I think one of our challenges for twenty twenty six 629 00:30:32,720 --> 00:30:35,080 Speaker 5: is that there's gonna be a lot of attention paid 630 00:30:35,120 --> 00:30:37,600 Speaker 5: to congressional candidates we're at large, which there should be. 631 00:30:37,600 --> 00:30:39,200 Speaker 5: We need to flip the House, we should try and 632 00:30:39,200 --> 00:30:43,920 Speaker 5: flip the Senate. But congressional candidates can't really talk about 633 00:30:43,920 --> 00:30:45,920 Speaker 5: the issues in a way that we can genuinely believe 634 00:30:45,960 --> 00:30:48,040 Speaker 5: they'll get things done, like they're not gonna be able 635 00:30:48,080 --> 00:30:50,560 Speaker 5: to govern. If you're in the House in twenty twenty seven, 636 00:30:50,600 --> 00:30:52,840 Speaker 5: and even if Democrats have the majority, you'll be able 637 00:30:52,840 --> 00:30:54,680 Speaker 5: to do accountability. You'll be able to do oversight. 638 00:30:54,720 --> 00:30:55,960 Speaker 2: We'll be able to investigations. 639 00:30:55,960 --> 00:30:56,520 Speaker 5: And that's great. 640 00:30:56,560 --> 00:30:57,400 Speaker 2: We got to do that. 641 00:30:57,440 --> 00:30:59,440 Speaker 5: Shit, You're not really going to be able to write 642 00:30:59,440 --> 00:31:04,880 Speaker 5: any policy about housing or reproductive healthcare or anything else 643 00:31:05,120 --> 00:31:05,520 Speaker 5: that Trump. 644 00:31:05,560 --> 00:31:07,520 Speaker 2: You don't have the president, you don't have the present. 645 00:31:08,480 --> 00:31:11,240 Speaker 5: So one of the tensions I think that we have 646 00:31:11,320 --> 00:31:14,480 Speaker 5: to hold is that the attention will be on the House. 647 00:31:14,960 --> 00:31:16,760 Speaker 5: We got to make sure the people running for the 648 00:31:16,800 --> 00:31:20,120 Speaker 5: local offices, the state legislatures, the mayors, the city council, 649 00:31:20,120 --> 00:31:23,200 Speaker 5: members of school board candidates who can talk about very 650 00:31:23,240 --> 00:31:25,960 Speaker 5: specific things they are doing, have as big of a 651 00:31:25,960 --> 00:31:29,120 Speaker 5: megaphone as possible. Those got to be the leaders we empower, 652 00:31:29,160 --> 00:31:30,400 Speaker 5: and those are the got to be the folks that 653 00:31:30,480 --> 00:31:33,840 Speaker 5: can't have voters who are otherwise unengaged are hearing from 654 00:31:33,840 --> 00:31:35,640 Speaker 5: the most because those are the people that they can 655 00:31:35,720 --> 00:31:38,200 Speaker 5: genuinely believe when they say, I'm going to do something 656 00:31:38,200 --> 00:31:39,480 Speaker 5: to make your life cheaper. 657 00:31:39,400 --> 00:31:43,560 Speaker 1: So affordability has clearly been a very good issue for DAMS. 658 00:31:44,000 --> 00:31:46,160 Speaker 1: What are the other issues that you think DEMS should 659 00:31:46,160 --> 00:31:48,400 Speaker 1: be running on As someone who has a lot of 660 00:31:48,600 --> 00:31:51,480 Speaker 1: view into states, you. 661 00:31:51,440 --> 00:31:53,160 Speaker 5: Know, I think housing, as I talked about earlier, is 662 00:31:53,160 --> 00:31:55,600 Speaker 5: probably the biggest one, because it's the thing that people 663 00:31:55,600 --> 00:31:58,920 Speaker 5: feel the most acutely. It's also in particular for young people, 664 00:31:59,040 --> 00:32:01,760 Speaker 5: it's not just about like can I afford to live 665 00:32:01,800 --> 00:32:04,080 Speaker 5: where I want to live? It's can I have the 666 00:32:04,200 --> 00:32:08,040 Speaker 5: kind of American dream that felt available to my parents, 667 00:32:08,160 --> 00:32:10,320 Speaker 5: my grandparents and does not feel available to me. The 668 00:32:10,360 --> 00:32:12,280 Speaker 5: idea for a twenty or thirty something right now for 669 00:32:12,440 --> 00:32:15,600 Speaker 5: most of us, like buying a home, feels unrealistic never 670 00:32:15,760 --> 00:32:18,840 Speaker 5: And I think that instability and that sense that what 671 00:32:18,960 --> 00:32:22,000 Speaker 5: is it all for is really really challenging for young people. 672 00:32:22,000 --> 00:32:25,160 Speaker 5: I think that was Mamdannie's really like see superpower. It 673 00:32:25,200 --> 00:32:27,240 Speaker 5: wasn't the afford to live or that like a city 674 00:32:27,240 --> 00:32:29,800 Speaker 5: we can afford. It was the afford to dream component 675 00:32:29,840 --> 00:32:32,280 Speaker 5: of Hispagan, which is it allows you to be ambitious 676 00:32:32,280 --> 00:32:34,720 Speaker 5: for other things. I also think childcare, we're seeing this 677 00:32:34,880 --> 00:32:37,000 Speaker 5: and lots and loots of our campaigns, you know, there 678 00:32:37,080 --> 00:32:38,840 Speaker 5: was just a big story in New York Magazine earlier 679 00:32:38,920 --> 00:32:40,680 Speaker 5: this month about how they hear in New York, you know, 680 00:32:40,760 --> 00:32:43,360 Speaker 5: the child care costs went up twice as high as inflation, 681 00:32:43,560 --> 00:32:45,960 Speaker 5: or outpaced inflation by double same is true in a 682 00:32:46,040 --> 00:32:48,520 Speaker 5: lot of places across the country, and it is really 683 00:32:48,560 --> 00:32:52,040 Speaker 5: affecting twenty and thirty somethings ability to have the families 684 00:32:52,040 --> 00:32:54,000 Speaker 5: they want, play and the families they want, live where 685 00:32:54,040 --> 00:32:56,160 Speaker 5: they want to live, have the jobs they want. Yeah, 686 00:32:56,240 --> 00:32:59,200 Speaker 5: it's connected to affordability, but it's not about like the 687 00:32:59,280 --> 00:33:02,920 Speaker 5: economy end jobs. It's about how does it feel to 688 00:33:03,040 --> 00:33:05,920 Speaker 5: live where you live and to have the kind of 689 00:33:05,960 --> 00:33:08,200 Speaker 5: family and life that you want. The other piece, and 690 00:33:08,240 --> 00:33:10,640 Speaker 5: I know this is something that some candidates are starting 691 00:33:10,680 --> 00:33:12,360 Speaker 5: to talk about. It really bubbles up on the local 692 00:33:12,480 --> 00:33:15,000 Speaker 5: level is AI and we're talking about data centers, they're 693 00:33:15,040 --> 00:33:17,640 Speaker 5: talking about electricity, they're talking about jobs, they're talking about 694 00:33:17,680 --> 00:33:21,560 Speaker 5: utility rates. They're also thinking really carefully about you know, Okay, 695 00:33:21,560 --> 00:33:24,120 Speaker 5: I use chashibichi for work. Doesn't seem that bad, but 696 00:33:24,320 --> 00:33:27,120 Speaker 5: I don't want it to be unregulated. I want to 697 00:33:27,120 --> 00:33:29,880 Speaker 5: have guardrails. I don't trust the people who are, you know, 698 00:33:30,240 --> 00:33:32,960 Speaker 5: designing these things to have my best interest. I want 699 00:33:33,000 --> 00:33:36,280 Speaker 5: people in leadership who understand these tools and can legislate 700 00:33:36,320 --> 00:33:38,280 Speaker 5: on them. And I actually do think that's one thing 701 00:33:38,280 --> 00:33:41,320 Speaker 5: where congressional candidates can really lean in, and even more 702 00:33:41,360 --> 00:33:44,400 Speaker 5: so than local which is, okay, what are you going 703 00:33:44,480 --> 00:33:46,640 Speaker 5: to do to make sure the robots don't take all 704 00:33:46,640 --> 00:33:47,120 Speaker 5: our jobs? 705 00:33:48,240 --> 00:33:50,880 Speaker 1: And also they make energy more expensive? 706 00:33:50,960 --> 00:33:51,120 Speaker 2: Right? 707 00:33:51,160 --> 00:33:53,520 Speaker 1: These data farms make energy more expensive? 708 00:33:53,920 --> 00:33:56,360 Speaker 5: They do, and they there's been a lot of really 709 00:33:56,400 --> 00:33:59,960 Speaker 5: interesting local campaigns against some of these data centers because yeah, 710 00:34:00,160 --> 00:34:02,600 Speaker 5: it's construction jobs for a short period of time and 711 00:34:02,640 --> 00:34:06,440 Speaker 5: then ultimately, you know, five or six people employed security, 712 00:34:06,880 --> 00:34:07,880 Speaker 5: jan and orial staff. 713 00:34:07,880 --> 00:34:08,319 Speaker 3: That's it. 714 00:34:08,320 --> 00:34:10,680 Speaker 5: It's not like a job creation factory, and if anything, 715 00:34:10,680 --> 00:34:14,080 Speaker 5: it's a job destruction institution. So how can you usure 716 00:34:14,160 --> 00:34:17,399 Speaker 5: especially for young people who feel really unsure of how 717 00:34:17,440 --> 00:34:19,879 Speaker 5: AI is affecting their ability to get hired, you got 718 00:34:19,880 --> 00:34:20,920 Speaker 5: to speak to it. 719 00:34:20,880 --> 00:34:25,080 Speaker 1: So interesting, Amanda Littman, thank you, thank you, thank you. 720 00:34:25,760 --> 00:34:26,799 Speaker 3: Always, thanks for having me. 721 00:34:26,800 --> 00:34:28,400 Speaker 5: Mollie, Happy holidays. 722 00:34:28,600 --> 00:34:32,959 Speaker 1: That's it for this episode of Fast Politics. Tune in 723 00:34:33,280 --> 00:34:38,720 Speaker 1: every Monday, Wednesday, Thursday and Saturday to hear the best 724 00:34:38,800 --> 00:34:43,080 Speaker 1: minds and politics make sense of all this Chaos. If 725 00:34:43,080 --> 00:34:46,200 Speaker 1: you enjoy this podcast, please send it to a friend 726 00:34:46,600 --> 00:34:48,240 Speaker 1: and keep the conversation going. 727 00:34:48,719 --> 00:34:49,840 Speaker 2: Thanks for listening.