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 --> 00:00:10,880 Speaker 1: today's best minds and Maga is melting down. 4 00:00:10,760 --> 00:00:16,720 Speaker 2: Over a woke Marxist American pope from Chicago. We have 5 00:00:16,880 --> 00:00:19,320 Speaker 2: such a great show for you today. The Lincoln Project's 6 00:00:19,360 --> 00:00:22,640 Speaker 2: own Stuart Steven stops by to talk about how it's 7 00:00:22,680 --> 00:00:26,680 Speaker 2: going in Trump's America not very well. Then we'll talk 8 00:00:26,720 --> 00:00:30,640 Speaker 2: to congressional candidate Dajia Fox about her run for Congress 9 00:00:30,720 --> 00:00:35,280 Speaker 2: and why we need gen Z energy in Congress. Plus, 10 00:00:35,400 --> 00:00:38,800 Speaker 2: we have a special bonus from our YouTube channel where 11 00:00:38,800 --> 00:00:44,519 Speaker 2: we talk to investigative journalist Carol Kyle Dwalder about how 12 00:00:44,840 --> 00:00:48,160 Speaker 2: AI is taking over all our lives. But first the news. 13 00:00:48,680 --> 00:00:51,440 Speaker 3: So, Molly, I'm going to shock you here. The guy 14 00:00:51,560 --> 00:00:53,840 Speaker 3: who wrote the book on deals, he only makes the 15 00:00:53,880 --> 00:00:56,560 Speaker 3: best deals. He's hedging again because he's not very good 16 00:00:56,560 --> 00:00:58,480 Speaker 3: at deals. That's the thing that happens all the time. 17 00:00:58,520 --> 00:00:59,920 Speaker 3: It's really not shocking at all. 18 00:01:01,800 --> 00:01:04,320 Speaker 2: You know, It's funny because it's like we've been covering 19 00:01:04,360 --> 00:01:07,360 Speaker 2: this fucking guy for almost a decade of our lives, 20 00:01:07,840 --> 00:01:10,440 Speaker 2: and during that time we've all gotten a lot older. 21 00:01:10,640 --> 00:01:14,560 Speaker 2: My youth. I've seen my youth squandered by covering Donald Trumps. 22 00:01:15,640 --> 00:01:18,400 Speaker 2: So here's the deal. We're in a trade war with China. 23 00:01:18,560 --> 00:01:22,559 Speaker 2: The problem is we cannot onshore manufacturing by making things 24 00:01:22,560 --> 00:01:27,280 Speaker 2: more expensive. We need to onshore manufacturing by building manufacturing 25 00:01:27,319 --> 00:01:30,119 Speaker 2: plants in America. I mean, the whole thing is just 26 00:01:30,319 --> 00:01:34,080 Speaker 2: completely dumb and poorly thought out, like so many things 27 00:01:34,080 --> 00:01:37,160 Speaker 2: in Trump world. Now Trump is starting to see you'll 28 00:01:37,200 --> 00:01:40,959 Speaker 2: remember Peter Navarro ninety deals in ninety days. So we 29 00:01:41,120 --> 00:01:45,119 Speaker 2: have one deal so far, and it's with Britain, which 30 00:01:45,160 --> 00:01:49,000 Speaker 2: is like our seventh or eighth biggest trading partner, which 31 00:01:49,040 --> 00:01:52,800 Speaker 2: is very nice, but it is also a country where 32 00:01:53,120 --> 00:01:57,640 Speaker 2: we actually buy more from them than they from us. 33 00:01:57,800 --> 00:02:01,240 Speaker 2: So whatever. Anyway, the point of this whole thing is 34 00:02:01,280 --> 00:02:04,720 Speaker 2: that he's starting to feel the walls close in, and 35 00:02:04,800 --> 00:02:07,600 Speaker 2: as the walls close in, he realizes that, in fact, 36 00:02:07,600 --> 00:02:11,320 Speaker 2: he really does need to deal with China. Ergo, he 37 00:02:11,880 --> 00:02:16,679 Speaker 2: is suggesting cutting the tariffs already, which is, by the way, 38 00:02:16,760 --> 00:02:18,760 Speaker 2: a sign of weakness. And I don't know if you 39 00:02:18,840 --> 00:02:22,799 Speaker 2: know this about Xijingping, but I think he's going to 40 00:02:22,960 --> 00:02:26,360 Speaker 2: end up winning the trade war. I think like signs 41 00:02:26,400 --> 00:02:30,400 Speaker 2: of weakness before negotiating. Makes me think that one hundred 42 00:02:30,440 --> 00:02:32,360 Speaker 2: and forty five percent levy, which is going to go 43 00:02:32,360 --> 00:02:37,440 Speaker 2: to eighty percent, will ultimately go down to a lot less. 44 00:02:37,639 --> 00:02:41,120 Speaker 2: So we're in a trade war and we're already losing 45 00:02:41,560 --> 00:02:46,040 Speaker 2: and it hasn't even really started. This is a pretty 46 00:02:46,040 --> 00:02:49,080 Speaker 2: good sign that Trump is rethinking the what's going on 47 00:02:49,320 --> 00:02:52,480 Speaker 2: and good except the only thing is that, as we've 48 00:02:52,520 --> 00:02:55,680 Speaker 2: seen from port traffic, there's going to be a shock 49 00:02:55,760 --> 00:02:59,200 Speaker 2: here and it's going to be inflationary, and just coming 50 00:02:59,240 --> 00:03:01,239 Speaker 2: back from it is probably going to put us in 51 00:03:01,240 --> 00:03:04,760 Speaker 2: a recession. So stagflation for everyone. 52 00:03:06,040 --> 00:03:11,000 Speaker 3: Great. So, Molly, we have a reoccurring character on this show, 53 00:03:11,160 --> 00:03:14,040 Speaker 3: particularly our old show. We'd have to talk about this 54 00:03:14,080 --> 00:03:18,079 Speaker 3: one all the time. We've named we've nicknamed her Judge 55 00:03:18,120 --> 00:03:20,000 Speaker 3: Box of Wine now that. 56 00:03:20,040 --> 00:03:21,320 Speaker 2: Is from season one. 57 00:03:21,720 --> 00:03:25,760 Speaker 3: Yes, the wine, you know, can be spelled two different ways. 58 00:03:25,960 --> 00:03:28,480 Speaker 3: We're gonna go out record and say it's w h 59 00:03:28,680 --> 00:03:30,440 Speaker 3: I an E because we don't want to cast any 60 00:03:30,480 --> 00:03:33,359 Speaker 3: aspersions on our Yeah. 61 00:03:33,440 --> 00:03:37,520 Speaker 2: Yes, as a sober alcoholic, it's a self diagnosed disease. 62 00:03:37,840 --> 00:03:40,720 Speaker 2: And far be it from me to diagnose almost every 63 00:03:40,720 --> 00:03:43,320 Speaker 2: person in this administration with a drinking problem. We would 64 00:03:43,360 --> 00:03:46,160 Speaker 2: never do that. It's not every person, it's just a 65 00:03:46,200 --> 00:03:47,720 Speaker 2: few prominent. 66 00:03:47,680 --> 00:03:50,480 Speaker 3: Yeah, yeah, there's just just a few who display strong, 67 00:03:50,640 --> 00:03:54,160 Speaker 3: strong signs. Anyway, So miss Piro to say that the 68 00:03:54,160 --> 00:03:56,040 Speaker 3: people who have worked with her in the past have 69 00:03:56,160 --> 00:03:59,600 Speaker 3: bad things to say about her whole leadership style is 70 00:03:59,640 --> 00:04:03,360 Speaker 3: a rastic, drastic understatement. But mister Trump's like, now she 71 00:04:03,440 --> 00:04:05,560 Speaker 3: should be the interim DC attorney. 72 00:04:05,760 --> 00:04:08,760 Speaker 2: Yeah, judge, box of wine going to US attorney in 73 00:04:08,880 --> 00:04:12,600 Speaker 2: Washington is great for any number of reasons. One the 74 00:04:12,760 --> 00:04:17,120 Speaker 2: Ed Martin pushback worked, Okay, all that had to happen 75 00:04:17,839 --> 00:04:25,480 Speaker 2: was vulnerable North Carolina Republican Tom Tillis had to say, 76 00:04:25,520 --> 00:04:28,720 Speaker 2: I'm not sure about this. And by the way, RFK 77 00:04:29,200 --> 00:04:32,200 Speaker 2: is right now fucking up every kind of thing he 78 00:04:32,440 --> 00:04:37,480 Speaker 2: possibly can with the health stuff. It's a complete and 79 00:04:37,640 --> 00:04:40,880 Speaker 2: utter disaster. And so I want to point out how 80 00:04:40,920 --> 00:04:45,320 Speaker 2: easy it would have been just to torpedo that nomination 81 00:04:45,960 --> 00:04:49,960 Speaker 2: had Republicans just had a tiny bit of a spine. Instead, 82 00:04:50,080 --> 00:04:53,960 Speaker 2: we have children dying of measles. Okay, So just want 83 00:04:54,000 --> 00:04:55,520 Speaker 2: to point this out when we look at this story, 84 00:04:55,560 --> 00:05:03,040 Speaker 2: which is these incredibly cowardly Republicans could have punted on 85 00:05:03,080 --> 00:05:07,120 Speaker 2: the RFK junior nomination and children who have died of 86 00:05:07,240 --> 00:05:10,560 Speaker 2: measles would be alive today. Okay, So I want you 87 00:05:10,600 --> 00:05:12,680 Speaker 2: to put that in your PA. That's you know that 88 00:05:12,720 --> 00:05:16,159 Speaker 2: there are a number of Republican senators, maybe all of them, 89 00:05:16,279 --> 00:05:19,479 Speaker 2: with the exception of Cindy Hyde Smith who know and 90 00:05:19,839 --> 00:05:23,640 Speaker 2: Tommy Tuberville, who know better than having RFK in that job. 91 00:05:23,720 --> 00:05:26,200 Speaker 2: And they did it anyway because they didn't want a headache, 92 00:05:26,279 --> 00:05:28,840 Speaker 2: and because they took this job because they're lazy and 93 00:05:29,000 --> 00:05:31,880 Speaker 2: not good in anything. So the point of this story 94 00:05:32,120 --> 00:05:34,320 Speaker 2: is we're going to have Judge box of Wine as 95 00:05:34,360 --> 00:05:37,080 Speaker 2: the interim US Attorney in Washington. It's going to be 96 00:05:37,200 --> 00:05:40,960 Speaker 2: destructive and fucked up, but also, as with so many 97 00:05:41,000 --> 00:05:46,039 Speaker 2: things in the Trump administration, inadvertently hilarious. So we will 98 00:05:46,080 --> 00:05:49,760 Speaker 2: try to grab the humor from this situation. Well, you know, 99 00:05:49,880 --> 00:05:53,440 Speaker 2: we will laugh to keep from crying. We will delight 100 00:05:53,520 --> 00:05:56,680 Speaker 2: in the stupidity, but we will also know that this 101 00:05:56,839 --> 00:05:58,560 Speaker 2: is not how any of this is supposed to happen, 102 00:05:59,080 --> 00:06:02,960 Speaker 2: and that this is degrading our great democracy. You know, 103 00:06:03,080 --> 00:06:06,000 Speaker 2: he puts in these very loud and competent people and 104 00:06:06,040 --> 00:06:06,760 Speaker 2: thank God for that. 105 00:06:07,040 --> 00:06:10,120 Speaker 3: Speaking of incompetence, we are seeing one of the most 106 00:06:10,240 --> 00:06:13,960 Speaker 3: major blowbacks this administration has seen so far, with Trump 107 00:06:14,040 --> 00:06:16,880 Speaker 3: picking Casey means for Surgeon General. Casey means for those 108 00:06:16,880 --> 00:06:20,960 Speaker 3: who don't know, is an RFK Junior. Lackey, particularly known 109 00:06:21,000 --> 00:06:23,880 Speaker 3: for as Laura Lumer, leaked this week publishing a newsletter 110 00:06:23,960 --> 00:06:25,599 Speaker 3: on how she manifested her husband. 111 00:06:25,839 --> 00:06:31,640 Speaker 2: Yes, who among us has not manifested their spouse? I 112 00:06:31,800 --> 00:06:35,520 Speaker 2: manifest all the time For Matt Greenfield, We've gone down 113 00:06:35,560 --> 00:06:41,600 Speaker 2: the fucking rabbit hole here of serious fucking craziness. You 114 00:06:41,720 --> 00:06:44,800 Speaker 2: open the door to RFK Junior, you put him in 115 00:06:44,880 --> 00:06:48,560 Speaker 2: charge of your healthcare, and you're going to have things 116 00:06:48,600 --> 00:06:51,919 Speaker 2: like this. So she's a best selling author. Everybody likes that. 117 00:06:52,080 --> 00:06:55,800 Speaker 2: She's a wellness influencer. Who doesn't like that she has 118 00:06:55,880 --> 00:06:59,359 Speaker 2: written a book called This Surprising Connection between Metabolism and 119 00:06:59,400 --> 00:07:02,599 Speaker 2: Lemonless Health. Oh, we're definitely all going to die. So 120 00:07:02,760 --> 00:07:05,520 Speaker 2: work with our wonderful Secretary of Health and Human Services, 121 00:07:05,640 --> 00:07:10,840 Speaker 2: Robert F. Kennedy Junior, to ensure successful implification of ore. 122 00:07:11,040 --> 00:07:16,000 Speaker 2: We are so incredibly fucked. The good news is that 123 00:07:16,520 --> 00:07:20,960 Speaker 2: they don't like pharmaceuticals. They don't like food industry, they 124 00:07:20,960 --> 00:07:25,440 Speaker 2: don't like vaccines. They think the FDA is corrupt. We 125 00:07:25,520 --> 00:07:27,960 Speaker 2: are so incredibly fucked up. 126 00:07:28,160 --> 00:07:29,920 Speaker 3: I think there is good news though, that this is 127 00:07:29,960 --> 00:07:32,280 Speaker 3: really seeming like this is putting up the hackles of 128 00:07:32,320 --> 00:07:35,880 Speaker 3: a lot of people. Even rfk's old running mate is 129 00:07:36,000 --> 00:07:37,600 Speaker 3: really disappointed about this pick. 130 00:07:37,960 --> 00:07:42,000 Speaker 2: Yes, but also I want to point out my favorite 131 00:07:42,040 --> 00:07:44,840 Speaker 2: part of this whole story is involved in this is 132 00:07:45,240 --> 00:07:48,520 Speaker 2: ronan On Johnson. Of course he's involved because he's a 133 00:07:48,760 --> 00:07:59,880 Speaker 2: fucking incredible lunatic. We should not be suppressed. Stuart Steve 134 00:08:00,120 --> 00:08:03,600 Speaker 2: There's a legendary campaign manager and the author of the 135 00:08:03,640 --> 00:08:07,320 Speaker 2: conspiracy to end America five ways my old party is 136 00:08:07,360 --> 00:08:12,840 Speaker 2: to driving our democracy to autocracy. Welcome to fast Politics, 137 00:08:12,880 --> 00:08:14,360 Speaker 2: Stewart Stevens. 138 00:08:14,520 --> 00:08:16,000 Speaker 4: Thanks for asking me to the party. 139 00:08:16,160 --> 00:08:18,520 Speaker 2: So another day in Trump's America. 140 00:08:18,840 --> 00:08:19,840 Speaker 4: This is doing great. 141 00:08:20,280 --> 00:08:23,800 Speaker 2: It's going great. It's like every time we make this 142 00:08:23,840 --> 00:08:26,160 Speaker 2: guy president, it's a fucking disaster. 143 00:08:26,400 --> 00:08:28,480 Speaker 4: You know he's going to get to It's just it's 144 00:08:28,480 --> 00:08:32,200 Speaker 4: a bit of personally. If I stay away from Newark, it's. 145 00:08:32,080 --> 00:08:37,840 Speaker 2: Not we laugh to keep from crying. But talk to me, 146 00:08:38,120 --> 00:08:38,680 Speaker 2: they'll be around. 147 00:08:38,720 --> 00:08:41,480 Speaker 4: Anybody that has measles. Look, you know, I think it's 148 00:08:41,480 --> 00:08:45,760 Speaker 4: the sort of most disheartening thing about all this Trump 149 00:08:45,800 --> 00:08:49,840 Speaker 4: stuff is it's not just the Republican Party that collapsed 150 00:08:49,840 --> 00:08:54,360 Speaker 4: in Bennett's snee back in sixteen. The way we've seen 151 00:08:54,400 --> 00:08:57,440 Speaker 4: these other institutions, like so much of the legal because 152 00:08:57,520 --> 00:09:00,480 Speaker 4: some of the legal community do it, some of the 153 00:09:00,520 --> 00:09:03,960 Speaker 4: great universities like one up the street from U Columbia. 154 00:09:04,000 --> 00:09:07,320 Speaker 4: And I think it's just a little parable or lesson 155 00:09:07,400 --> 00:09:11,200 Speaker 4: in how fragile this thing we call democracy is and 156 00:09:11,240 --> 00:09:14,559 Speaker 4: how much it's based upon goodwill. Now there's the flip 157 00:09:14,559 --> 00:09:16,520 Speaker 4: side of that is you do have people fighting back. 158 00:09:16,720 --> 00:09:19,880 Speaker 4: I think that the twenty four election was greatly misunderstood. 159 00:09:20,200 --> 00:09:24,439 Speaker 4: You know, it was an election that any non incumbent 160 00:09:24,760 --> 00:09:27,520 Speaker 4: had a great chance to win. The approval rating of 161 00:09:27,559 --> 00:09:31,400 Speaker 4: Biden was at forty No candidates ever gotten two points 162 00:09:31,480 --> 00:09:35,040 Speaker 4: higher than incumbent party's president. The right Track was at 163 00:09:35,080 --> 00:09:38,920 Speaker 4: twenty seven, which is just a saggering number. No incumbent 164 00:09:39,240 --> 00:09:41,840 Speaker 4: parties ever won when it was below forty five, which 165 00:09:41,880 --> 00:09:43,719 Speaker 4: is why we see Nikki Haley. She was doing a 166 00:09:43,760 --> 00:09:45,839 Speaker 4: lot better than Trump. And I think that that's been 167 00:09:46,440 --> 00:09:50,600 Speaker 4: confused with the idea that there was some reordering of 168 00:09:50,640 --> 00:09:54,280 Speaker 4: our politics. No, there wasn't that there was some great 169 00:09:54,559 --> 00:09:57,200 Speaker 4: breakthrough the Republican Party and that it was an endorsement 170 00:09:57,200 --> 00:09:58,960 Speaker 4: of Trump is And I think that you know what 171 00:09:58,960 --> 00:10:02,720 Speaker 4: we're seeing is they knew and campaign that's Project twenty 172 00:10:02,760 --> 00:10:04,760 Speaker 4: twenty five was poised, and then now they're making people 173 00:10:04,840 --> 00:10:07,800 Speaker 4: drink it and they gotten any better. So I look 174 00:10:07,840 --> 00:10:12,200 Speaker 4: at the Democratic Party like this incredibly valuable company that's 175 00:10:12,240 --> 00:10:15,440 Speaker 4: just under bad management. It's like they were Apple and 176 00:10:15,480 --> 00:10:19,040 Speaker 4: they fired Steve Jobs and Rovin Scully, but the value 177 00:10:19,360 --> 00:10:23,439 Speaker 4: is still there, and you know, hopefully they'll be able 178 00:10:23,520 --> 00:10:24,160 Speaker 4: to get it together. 179 00:10:24,800 --> 00:10:29,520 Speaker 2: So let's let's go down that rabbit hole for a minute. First, 180 00:10:29,640 --> 00:10:34,439 Speaker 2: let's talk about kind of what Trump is trying to enact. 181 00:10:34,600 --> 00:10:36,480 Speaker 2: I feel like we're not getting a lot of intel 182 00:10:36,520 --> 00:10:39,400 Speaker 2: on this. People aren't talking about it because nobody gives 183 00:10:39,400 --> 00:10:42,359 Speaker 2: a shit about Congress because they made themselves so incredibly 184 00:10:42,400 --> 00:10:45,560 Speaker 2: irrelevant by rubbers camping everything that Trump wants to do. 185 00:10:46,000 --> 00:10:50,439 Speaker 2: But they are trying to pass a budget and it 186 00:10:50,559 --> 00:10:53,320 Speaker 2: is a fucking disaster, and they believe they're going to 187 00:10:53,320 --> 00:10:57,760 Speaker 2: pass it in fifteen days or something, and FYI, they 188 00:10:57,800 --> 00:11:00,760 Speaker 2: have not agreed on anything. The only way to pay 189 00:11:00,760 --> 00:11:04,720 Speaker 2: for these tax cuts is to basically close every rural 190 00:11:04,760 --> 00:11:11,480 Speaker 2: hospital and nursing home and politically just commit supuku discuss. 191 00:11:11,679 --> 00:11:14,040 Speaker 4: It's a great way to put it. Yeah, you can't 192 00:11:14,120 --> 00:11:16,800 Speaker 4: get there unless you were committed to deep cuts in 193 00:11:16,840 --> 00:11:20,800 Speaker 4: the military. They're not. That's the dirty little secret of 194 00:11:20,800 --> 00:11:23,160 Speaker 4: the budget. This is why we have a deficit. People 195 00:11:23,400 --> 00:11:25,440 Speaker 4: like the stuff that they get from the government. And 196 00:11:25,480 --> 00:11:28,360 Speaker 4: you know, I think the greatest irony here and this 197 00:11:28,480 --> 00:11:31,000 Speaker 4: is then true for a long time, but it sort 198 00:11:31,040 --> 00:11:33,800 Speaker 4: of gets highlighted in these moments. The states that most 199 00:11:33,800 --> 00:11:36,800 Speaker 4: depend upon the federal government are these poor red states 200 00:11:36,880 --> 00:11:40,000 Speaker 4: like my home state of Mississippi. About forty percent of 201 00:11:40,000 --> 00:11:43,199 Speaker 4: Mississippi state budget forty percent comes from the federal government, 202 00:11:43,400 --> 00:11:46,240 Speaker 4: which I really don't understand why we don't call it socialism, 203 00:11:46,559 --> 00:11:49,600 Speaker 4: and you make these cuts and these are the people 204 00:11:49,640 --> 00:11:50,959 Speaker 4: that are going to be hurt. I mean, I was 205 00:11:50,960 --> 00:11:53,280 Speaker 4: looking at a map that talking about closing some social 206 00:11:53,480 --> 00:11:55,959 Speaker 4: security offices in Misissippi. Well they aren't closing them. They're 207 00:11:56,000 --> 00:11:57,559 Speaker 4: not talking about it now. They are because of the 208 00:11:57,640 --> 00:12:00,680 Speaker 4: date when one closed first of May. I was doing 209 00:12:00,800 --> 00:12:02,560 Speaker 4: like a little Google Maps thing you know, you're going 210 00:12:02,640 --> 00:12:04,559 Speaker 4: to have to drive a lot of people one hundred 211 00:12:04,640 --> 00:12:07,320 Speaker 4: plus miles to get their such security office will at 212 00:12:07,360 --> 00:12:10,120 Speaker 4: the same time, they're cutting the backstaff that would answer 213 00:12:10,120 --> 00:12:13,000 Speaker 4: the phone and do all these helplines. And that's not 214 00:12:13,040 --> 00:12:16,240 Speaker 4: going to affect anybody who's not dependent upon Social Security. 215 00:12:16,440 --> 00:12:19,079 Speaker 4: And that's just it. Scott Galloway made this point, I thought, 216 00:12:19,400 --> 00:12:22,840 Speaker 4: really precisely as he is a way of doing this 217 00:12:23,040 --> 00:12:26,120 Speaker 4: is the fundamental definition of a cryptocracy. You know, you 218 00:12:26,200 --> 00:12:30,120 Speaker 4: have a group of people around Trump who are making 219 00:12:30,240 --> 00:12:33,640 Speaker 4: a lot of money and who are using the government 220 00:12:33,880 --> 00:12:37,800 Speaker 4: to make themselves richer while others are going to be poorer. 221 00:12:38,120 --> 00:12:40,000 Speaker 4: And that's it. I mean, there really is a blueprint. 222 00:12:40,000 --> 00:12:42,920 Speaker 4: If we sat down, as sort of a social science experiment, 223 00:12:43,000 --> 00:12:46,080 Speaker 4: said how do you make them America poorer? Well, we've 224 00:12:46,080 --> 00:12:49,200 Speaker 4: lost thrillions of dollars of wealth since Trump took office. 225 00:12:49,400 --> 00:12:53,240 Speaker 4: These terror servants saying, how do you make America less healthy? 226 00:12:53,640 --> 00:12:57,360 Speaker 4: Will you put some lunatic like RFK in charge of 227 00:12:57,559 --> 00:13:01,440 Speaker 4: national health? How would you make America less competitive in 228 00:13:01,480 --> 00:13:06,120 Speaker 4: the world and have a darker than brighter future. You 229 00:13:06,120 --> 00:13:10,920 Speaker 4: would cut research, You would make our educational institutions, which 230 00:13:11,000 --> 00:13:14,520 Speaker 4: really are the great driver or certainly one of them 231 00:13:14,600 --> 00:13:17,920 Speaker 4: of wealth in America. Why is there so much money 232 00:13:17,960 --> 00:13:23,000 Speaker 4: in Boston? Why why is Massachusetts so rich? And you 233 00:13:23,040 --> 00:13:26,120 Speaker 4: know what, it was a great driver in California. And 234 00:13:26,720 --> 00:13:30,800 Speaker 4: you're going to cut these research budgets. It's really what 235 00:13:30,840 --> 00:13:33,360 Speaker 4: would you do if you're trying to make the world 236 00:13:33,520 --> 00:13:37,960 Speaker 4: more unstable and more dangerous? You would cut the greatest, 237 00:13:38,240 --> 00:13:42,960 Speaker 4: most successful alliance in history, NATO. And you know, Republicans 238 00:13:43,000 --> 00:13:45,200 Speaker 4: have just gone along with it. I don't think it's 239 00:13:45,280 --> 00:13:48,160 Speaker 4: complicated or hard to understand, because I think it's just 240 00:13:48,240 --> 00:13:52,320 Speaker 4: sheer cowardice and we should just accept that cowardice is 241 00:13:52,360 --> 00:13:54,600 Speaker 4: probably a norm that all of us who are human 242 00:13:54,720 --> 00:13:57,000 Speaker 4: reset too, and we should be surprised by courage. 243 00:13:57,320 --> 00:13:59,719 Speaker 2: Yeah. Another person who said it was a cryptocracy was 244 00:13:59,760 --> 00:14:02,640 Speaker 2: Ken Griffin. He is the biggest Republican donor, not a 245 00:14:02,679 --> 00:14:06,000 Speaker 2: Trump donor, but the biggest Republican donor there is. Said 246 00:14:06,080 --> 00:14:09,760 Speaker 2: it's a cryptocracy. So clearly things are not going great, 247 00:14:10,040 --> 00:14:13,200 Speaker 2: right because for things, you know the fact that you 248 00:14:13,400 --> 00:14:15,560 Speaker 2: have people like this saying what the fuck are you 249 00:14:15,640 --> 00:14:18,520 Speaker 2: doing is probably a bad sign. I mean, and honestly, again, 250 00:14:18,559 --> 00:14:21,040 Speaker 2: I think you and I can agree, thank god, right, 251 00:14:21,080 --> 00:14:24,040 Speaker 2: because if it were going great, we'd be they'd be 252 00:14:24,160 --> 00:14:27,800 Speaker 2: just disappearing grad students left and right, and we'd be 253 00:14:27,920 --> 00:14:31,520 Speaker 2: really on our way to orbone it's hungary, whereas right 254 00:14:31,560 --> 00:14:35,600 Speaker 2: now we're sort of in a weird period where my 255 00:14:35,720 --> 00:14:39,359 Speaker 2: man is doing anti democratic things but also destroying the economy. 256 00:14:39,720 --> 00:14:44,360 Speaker 2: So let's talk through. I thought the incredible hail Mary 257 00:14:44,480 --> 00:14:47,800 Speaker 2: passed yesterday, Donald Trump said he would like to tax 258 00:14:48,280 --> 00:14:51,640 Speaker 2: people who make over five million dollars. This is the 259 00:14:51,720 --> 00:14:54,320 Speaker 2: only reason he got elected, as far as I can tell, 260 00:14:54,600 --> 00:14:56,200 Speaker 2: was to protect these people's money. 261 00:14:56,400 --> 00:15:00,000 Speaker 4: Yeah. You know, I've never seen a poll in all 262 00:15:00,120 --> 00:15:02,040 Speaker 4: my life, and we used to put this on polls 263 00:15:02,120 --> 00:15:07,040 Speaker 4: where taxing people who make over even a million dollars 264 00:15:07,680 --> 00:15:10,600 Speaker 4: didn't test to the good and the higher you put 265 00:15:10,640 --> 00:15:14,200 Speaker 4: that number, I mean, if you ask people, should billionaires 266 00:15:14,240 --> 00:15:16,760 Speaker 4: pay more in taxes, it's like a ninety five to five, 267 00:15:17,520 --> 00:15:20,880 Speaker 4: you know, I mean everybody, of course they take that, 268 00:15:21,280 --> 00:15:25,600 Speaker 4: of course. And I think this is Trump, in this 269 00:15:25,800 --> 00:15:30,520 Speaker 4: jumbled mess of a mind, in this jumble collection of 270 00:15:30,600 --> 00:15:33,360 Speaker 4: weirdos and freaks that he has around him. You know, 271 00:15:33,440 --> 00:15:35,880 Speaker 4: it's always the last person in the room. Somebody sticks 272 00:15:35,880 --> 00:15:38,080 Speaker 4: a poll in front of him and says, look, you're 273 00:15:38,480 --> 00:15:42,440 Speaker 4: the first president well except the previous Trump administration that 274 00:15:42,640 --> 00:15:45,960 Speaker 4: is less popular one hundred days after you took office 275 00:15:46,000 --> 00:15:48,520 Speaker 4: than you were an election day, which is really interesting 276 00:15:48,520 --> 00:15:50,160 Speaker 4: to think about. You know, it's a very American thing 277 00:15:50,200 --> 00:15:52,200 Speaker 4: to say after I didn't vote for this person, but 278 00:15:52,200 --> 00:15:54,720 Speaker 4: I'll give them a chance. So you know, at this point, 279 00:15:54,720 --> 00:15:57,960 Speaker 4: Biden was near sixty, Obama was in the mid sixties. 280 00:15:58,240 --> 00:16:01,040 Speaker 4: Even Bush in after the two and four election was 281 00:16:01,120 --> 00:16:04,840 Speaker 4: higher than the he was an election day. Trump is lower. 282 00:16:05,080 --> 00:16:06,680 Speaker 4: So what does that mean? That means people who voted 283 00:16:06,720 --> 00:16:09,400 Speaker 4: for Trump are having a lot of doubts about it. 284 00:16:10,000 --> 00:16:13,520 Speaker 4: And that's that's difficult to do this quickly. It's always 285 00:16:13,560 --> 00:16:15,320 Speaker 4: difficult to get any of us to admit that we 286 00:16:15,400 --> 00:16:18,760 Speaker 4: made a mistake. So you've got this problem. You have 287 00:16:18,920 --> 00:16:22,360 Speaker 4: these congressional candidates out there who are beginning to panic. 288 00:16:22,600 --> 00:16:25,960 Speaker 4: I mean, they know what happened in twenty ten to Democrats, 289 00:16:26,200 --> 00:16:29,480 Speaker 4: they know what happened in nineteen ninety four, and they're 290 00:16:29,680 --> 00:16:33,120 Speaker 4: looking at this and seeing this could be a blood bat. 291 00:16:33,400 --> 00:16:36,000 Speaker 4: You know, we can move thirty to forty seats. What 292 00:16:36,160 --> 00:16:39,640 Speaker 4: is it that we're supposed to campaign own, how is 293 00:16:39,760 --> 00:16:45,600 Speaker 4: anyone's life better that's been accomplished here? So he says, oh, look, 294 00:16:45,640 --> 00:16:47,720 Speaker 4: you know, I'm going to go out and say this, 295 00:16:48,240 --> 00:16:51,600 Speaker 4: maybe it'll help. At the heart of it is that 296 00:16:51,640 --> 00:16:56,600 Speaker 4: there's no governing philosophy to the Republican Party anymore. Knowing 297 00:16:56,720 --> 00:16:59,360 Speaker 4: can and good faith articulate this is a theory of 298 00:16:59,360 --> 00:17:02,280 Speaker 4: government and say what you will. He used to be 299 00:17:02,320 --> 00:17:03,920 Speaker 4: able to do that. You could say, well that those 300 00:17:03,920 --> 00:17:05,920 Speaker 4: are the worst ideas I've ever heard in my life. Right, 301 00:17:05,920 --> 00:17:07,760 Speaker 4: A lot of people said that, you know, but you 302 00:17:07,760 --> 00:17:11,560 Speaker 4: can have a debate between some conservative and Elizabeth Warren 303 00:17:11,760 --> 00:17:13,480 Speaker 4: and it could be an interesting debate and she could 304 00:17:13,480 --> 00:17:16,600 Speaker 4: defend one another. But there's not now there's not a 305 00:17:16,640 --> 00:17:19,840 Speaker 4: center right party in America. And I think that that 306 00:17:20,000 --> 00:17:23,280 Speaker 4: lack of any sort of coherent theory of government, a 307 00:17:23,359 --> 00:17:25,679 Speaker 4: purpose of government, is at the root of all this, 308 00:17:25,720 --> 00:17:28,000 Speaker 4: because if you don't believe in anything, if you don't 309 00:17:28,000 --> 00:17:31,520 Speaker 4: have any idea that government should work this way, it's 310 00:17:31,560 --> 00:17:35,879 Speaker 4: just a series of these chaotic missteps, and it's just 311 00:17:36,160 --> 00:17:38,280 Speaker 4: you end up with this mess that we have now, 312 00:17:38,320 --> 00:17:42,680 Speaker 4: a government that is failing it its basic purposes. 313 00:17:43,240 --> 00:17:46,480 Speaker 2: So you don't think Trump is going to increase taxes 314 00:17:46,520 --> 00:17:48,920 Speaker 2: for people who make over five million dollars a year. 315 00:17:49,320 --> 00:17:49,480 Speaker 4: No. 316 00:17:51,440 --> 00:17:53,560 Speaker 2: I mean, it's such a great thing for him to say, 317 00:17:53,600 --> 00:17:56,600 Speaker 2: because it's like, yeah, but of course he's not going 318 00:17:56,680 --> 00:17:59,000 Speaker 2: to do it. No. Look, so then we get to 319 00:17:59,040 --> 00:18:02,479 Speaker 2: the question of is it malpractice that Democrats aren't pulling 320 00:18:02,520 --> 00:18:05,640 Speaker 2: better when they're running against someone who is literally doing 321 00:18:05,720 --> 00:18:08,640 Speaker 2: all the most unpopular things. So I'm going to ask you. 322 00:18:09,160 --> 00:18:12,600 Speaker 2: I know you're a Republican. Jesse and I both pretty lefty. 323 00:18:12,800 --> 00:18:17,439 Speaker 2: I'm right, I'm less lefty than Jesse is because I 324 00:18:17,600 --> 00:18:21,160 Speaker 2: come from a lot of privilege, but I'm still lefty. 325 00:18:21,920 --> 00:18:24,880 Speaker 2: I want you to sort of explain to us why 326 00:18:24,960 --> 00:18:29,399 Speaker 2: you think democrats can't like it's clear there's a populism. 327 00:18:29,640 --> 00:18:32,639 Speaker 2: It is not so different than what Democrats want to do, 328 00:18:33,359 --> 00:18:36,199 Speaker 2: and yet somehow it's not working. 329 00:18:36,240 --> 00:18:38,480 Speaker 4: So discuss Yeah, you know, I've been thinking about this 330 00:18:38,520 --> 00:18:40,320 Speaker 4: a lot, and I think it's a really interesting question. 331 00:18:40,760 --> 00:18:42,520 Speaker 4: Argument can be made, a case can be made that 332 00:18:42,560 --> 00:18:45,159 Speaker 4: the Democrats are still trapped in this mindset that we 333 00:18:45,240 --> 00:18:48,160 Speaker 4: have news cycles. When we had news cycles, you could 334 00:18:48,160 --> 00:18:51,320 Speaker 4: at least attempt to push a message that was unified. 335 00:18:51,840 --> 00:18:54,200 Speaker 4: I mean, all these campaigns we said around, we'd let's 336 00:18:54,240 --> 00:18:57,320 Speaker 4: have an education week now, right. I never really could 337 00:18:57,400 --> 00:18:59,439 Speaker 4: do it, but we could at least pretend that we 338 00:18:59,480 --> 00:19:01,680 Speaker 4: could do it. I mean, I can't remember. In two thousand, 339 00:19:01,720 --> 00:19:03,760 Speaker 4: when I was working on the Bush campaign, then the 340 00:19:03,800 --> 00:19:06,760 Speaker 4: New York Times went online at midnight East Coast time. 341 00:19:08,000 --> 00:19:10,240 Speaker 4: You could sit there, so that was eleven o'clock in Austin. 342 00:19:10,359 --> 00:19:12,240 Speaker 4: You could sit there and you could look at your watch, 343 00:19:12,359 --> 00:19:14,840 Speaker 4: and by eleven fifteen you would be getting calls from 344 00:19:14,880 --> 00:19:17,720 Speaker 4: reporters that were basically using the New York Times as 345 00:19:17,760 --> 00:19:20,199 Speaker 4: assignment editors for what they were going to work on. 346 00:19:20,720 --> 00:19:23,480 Speaker 4: So we don't have that anymore. That's been shattered. They're 347 00:19:23,480 --> 00:19:26,280 Speaker 4: no gatekeepers all of that. So what does that mean 348 00:19:26,560 --> 00:19:29,240 Speaker 4: to me? I think it means you shouldn't If you're 349 00:19:29,240 --> 00:19:31,600 Speaker 4: asking yourself, is that the right thing to do to 350 00:19:31,680 --> 00:19:34,159 Speaker 4: go out was like a Bernie an AOC campaign Or 351 00:19:34,160 --> 00:19:37,600 Speaker 4: should you be talking about just gas prices? That's the 352 00:19:37,640 --> 00:19:41,320 Speaker 4: wrong question, because you should be doing everything, because different 353 00:19:41,359 --> 00:19:44,280 Speaker 4: things are going to be heard by different people, because 354 00:19:44,320 --> 00:19:48,520 Speaker 4: our entire media is so fragmented. Smart you should just 355 00:19:48,720 --> 00:19:51,480 Speaker 4: flood the zone with all of these messages and I 356 00:19:51,480 --> 00:19:54,240 Speaker 4: think the one thing, if there's one lesson out of 357 00:19:54,240 --> 00:19:57,560 Speaker 4: the last year in politics, it's the power of passion. 358 00:19:58,160 --> 00:20:04,840 Speaker 4: And you know, there still is this really unfortunate assumption 359 00:20:05,040 --> 00:20:07,920 Speaker 4: inside a lot of consulting community. I think it's worse 360 00:20:08,000 --> 00:20:11,200 Speaker 4: on the Democratic side because consulting community on the Republican 361 00:20:11,240 --> 00:20:13,959 Speaker 4: side has kind of been reduced to just following Trump. 362 00:20:14,840 --> 00:20:17,000 Speaker 4: You can focus group your way out of this, you 363 00:20:17,040 --> 00:20:19,480 Speaker 4: can test it your way out of this. And the 364 00:20:19,600 --> 00:20:23,159 Speaker 4: super Pac Future Forward that was started to support Biden 365 00:20:23,160 --> 00:20:25,840 Speaker 4: and then went to Harris is a perfect example. I mean, 366 00:20:25,880 --> 00:20:28,159 Speaker 4: I think they're really smart. I think they made some 367 00:20:28,200 --> 00:20:30,679 Speaker 4: good ads, but they had almost a billion dollars to 368 00:20:30,720 --> 00:20:33,639 Speaker 4: spend and they were testing everything. They had this system, 369 00:20:33,640 --> 00:20:35,960 Speaker 4: We're going to test every ad three times. So it's 370 00:20:36,000 --> 00:20:39,800 Speaker 4: like it was just so clear that these transgender attacks 371 00:20:40,000 --> 00:20:43,639 Speaker 4: were hurting Democrats across the board because it was a 372 00:20:43,680 --> 00:20:47,359 Speaker 4: perfect example to sort of use as a hyperbole of 373 00:20:47,440 --> 00:20:51,199 Speaker 4: Wochism or whatever, and it was the easiest thing in 374 00:20:51,200 --> 00:20:53,600 Speaker 4: the world to push back on. This was a policy 375 00:20:53,640 --> 00:20:56,399 Speaker 4: that was adopted under Trump by his handpicked head of 376 00:20:56,680 --> 00:21:00,280 Speaker 4: prison and as far as anybody can figure out, only 377 00:21:00,359 --> 00:21:04,360 Speaker 4: happened once, right, So you know, we made an ass 378 00:21:04,480 --> 00:21:06,600 Speaker 4: and take very long the Lincoln Project to put back 379 00:21:06,640 --> 00:21:08,520 Speaker 4: on it. Gave it to the folks at Future four 380 00:21:08,600 --> 00:21:10,919 Speaker 4: because super pacn coordinated. They said that we love this. 381 00:21:11,240 --> 00:21:13,360 Speaker 4: Like a week later it wasn't running. I was like, hey, guys, 382 00:21:13,400 --> 00:21:15,000 Speaker 4: what's going on? They got well, he didn't test well, 383 00:21:15,200 --> 00:21:16,840 Speaker 4: and you know, I just want to say to him, 384 00:21:17,119 --> 00:21:20,399 Speaker 4: do you think Willie Horton tested well? Like people were like, 385 00:21:20,480 --> 00:21:21,920 Speaker 4: you know, I really liked that bit about the guy 386 00:21:21,960 --> 00:21:24,320 Speaker 4: that shot somebody in the face. No, people are never 387 00:21:24,400 --> 00:21:26,760 Speaker 4: going to say that, but it does work. And you 388 00:21:26,800 --> 00:21:30,840 Speaker 4: can use a kind of social science experiment. Every Democratic 389 00:21:30,880 --> 00:21:34,040 Speaker 4: Senate candidate who was attacked with this who responded on 390 00:21:34,280 --> 00:21:37,560 Speaker 4: camera pushing back on it one and everyone who was 391 00:21:37,600 --> 00:21:41,320 Speaker 4: attacking didn't lost. So that's a lesson in this. 392 00:21:41,600 --> 00:21:44,960 Speaker 2: That's how you get to a Reuben Diego Trump voter. Right. 393 00:21:45,160 --> 00:21:47,440 Speaker 2: What I think is so sort of lightning in a 394 00:21:47,480 --> 00:21:50,640 Speaker 2: bottle about what Trump did was that he went everywhere 395 00:21:50,680 --> 00:21:54,040 Speaker 2: he promised every time he did that politics is downstream 396 00:21:54,040 --> 00:21:57,000 Speaker 2: of culture. He became part of the culture. He influenced 397 00:21:57,000 --> 00:22:00,200 Speaker 2: the politics, and it just worked. It worked so well 398 00:22:00,280 --> 00:22:03,280 Speaker 2: that people came out, they filled out for him, They 399 00:22:03,400 --> 00:22:05,040 Speaker 2: voted for him, and then they left the bottom of 400 00:22:05,119 --> 00:22:07,840 Speaker 2: the ticket blank in a lot of states. So that 401 00:22:08,160 --> 00:22:11,600 Speaker 2: is really the thesis, right A Brightbarn. 402 00:22:12,080 --> 00:22:15,800 Speaker 4: Yeah, Look, I think this has been true and really 403 00:22:15,880 --> 00:22:18,640 Speaker 4: obvious since the Clinton Bush election. You know, I can 404 00:22:18,760 --> 00:22:22,520 Speaker 4: remember as a Republican when Clinton went on our senior 405 00:22:22,560 --> 00:22:24,480 Speaker 4: hall played the saxophone and we said, well, this race 406 00:22:24,560 --> 00:22:27,000 Speaker 4: is over. No one wants to president in the United States. 407 00:22:27,080 --> 00:22:29,359 Speaker 4: Who's going to put on sunglasses and play a saxophone 408 00:22:29,359 --> 00:22:30,600 Speaker 4: on a late night showed. 409 00:22:30,600 --> 00:22:32,320 Speaker 2: Oh you guys thought you'd win on that. 410 00:22:32,560 --> 00:22:35,639 Speaker 4: And well you were smarter. By the end of the campaign, 411 00:22:35,960 --> 00:22:39,240 Speaker 4: Bush would have played a banjo in his underwear someplace, 412 00:22:39,280 --> 00:22:41,520 Speaker 4: you know, because they realized it was working. So I 413 00:22:41,560 --> 00:22:45,239 Speaker 4: think this has been apparent to people. And you know, 414 00:22:45,440 --> 00:22:47,639 Speaker 4: in two thousand at the Lincoln Project, when we started 415 00:22:47,640 --> 00:22:49,879 Speaker 4: a podcast, we had a lot of friends and support 416 00:22:49,920 --> 00:22:52,040 Speaker 4: us going like, Gus, what are you doing starting a podcast? 417 00:22:52,240 --> 00:22:55,520 Speaker 4: We started a streaming show because we saw this that 418 00:22:55,720 --> 00:22:58,000 Speaker 4: you had to communicate in these different ways, and now 419 00:22:58,040 --> 00:22:59,880 Speaker 4: you have twenty four people go it was the podcast 420 00:23:00,600 --> 00:23:03,359 Speaker 4: literally wasn't the caest election, but you know, it just 421 00:23:03,400 --> 00:23:08,040 Speaker 4: shows the difference that has occurred here. But look, the 422 00:23:08,040 --> 00:23:12,280 Speaker 4: thing that frustrates me most about the Democratic Party is 423 00:23:12,600 --> 00:23:17,680 Speaker 4: a lack of swagger, a lack of affirmative assertion. We're 424 00:23:17,840 --> 00:23:22,120 Speaker 4: right there wrong And I hate this stuff. I read 425 00:23:22,200 --> 00:23:23,760 Speaker 4: like we're going to go out and have these listening 426 00:23:23,800 --> 00:23:25,800 Speaker 4: tours and try to figure out what we did wrong. 427 00:23:26,400 --> 00:23:28,119 Speaker 4: I don't know. I mean, if you do that stuff, 428 00:23:28,119 --> 00:23:31,720 Speaker 4: I wouldn't talk about it. And they're talking about it 429 00:23:31,720 --> 00:23:35,840 Speaker 4: because they think that they have to do a certain pendance. Bosses, 430 00:23:36,240 --> 00:23:38,679 Speaker 4: our donors are mad. But look, we're going to go 431 00:23:38,760 --> 00:23:41,480 Speaker 4: through this. You have to. I mean, nobody ever wins 432 00:23:41,480 --> 00:23:43,400 Speaker 4: the super Bowl if you walk out and think maybe 433 00:23:43,400 --> 00:23:45,600 Speaker 4: we have a chance. I mean you have to believe 434 00:23:45,680 --> 00:23:47,919 Speaker 4: in a start that you're going to win and that 435 00:23:48,000 --> 00:23:51,000 Speaker 4: you're right. And they need to use a language here 436 00:23:51,320 --> 00:23:56,680 Speaker 4: that is accusatory and broad sweeping. Trump is a crook. 437 00:23:56,720 --> 00:23:59,399 Speaker 4: It is the most corrupt administration by far in history. 438 00:23:59,720 --> 00:24:02,960 Speaker 4: Trump is portraying the greatest generation of what he's doing 439 00:24:04,600 --> 00:24:08,440 Speaker 4: in Ukraine and the way he's trying to demand basically 440 00:24:08,520 --> 00:24:12,439 Speaker 4: a protection racket with Ukraine. I mean, it's disgusting. You 441 00:24:12,560 --> 00:24:15,439 Speaker 4: need to say these things. Don't be afraid of going 442 00:24:15,480 --> 00:24:18,919 Speaker 4: too far, and I think that element is inside the 443 00:24:18,960 --> 00:24:22,800 Speaker 4: Democratic Party, and I think it really is not so 444 00:24:22,920 --> 00:24:26,720 Speaker 4: much ideological. I mean, Fetterman's not bad at it, and 445 00:24:26,760 --> 00:24:28,919 Speaker 4: he's sort of a different place than Bernie and AOC 446 00:24:29,080 --> 00:24:31,960 Speaker 4: on all of these issues. So it's not a time 447 00:24:32,000 --> 00:24:35,159 Speaker 4: for timidity. It's a time for boldness, and it's a 448 00:24:35,200 --> 00:24:39,280 Speaker 4: time to if you really believe that democracy is a threat, 449 00:24:39,320 --> 00:24:42,480 Speaker 4: which you should to act like it to respond. It's 450 00:24:42,480 --> 00:24:45,320 Speaker 4: still this confusion that the Democratic Party has, which is 451 00:24:45,400 --> 00:24:48,360 Speaker 4: understandable and there's something admirable about this in a way 452 00:24:48,520 --> 00:24:51,280 Speaker 4: that their role is to be a governing party. No, 453 00:24:51,560 --> 00:24:54,280 Speaker 4: I mean Johnathan last wrote about this brilliantly thought their 454 00:24:54,359 --> 00:24:56,920 Speaker 4: role should be to be a dissident movement, and that's 455 00:24:56,960 --> 00:24:59,960 Speaker 4: what they should be looking at. How did dissident movements operate? 456 00:25:00,359 --> 00:25:02,639 Speaker 4: And they should be trying to stop all of this. 457 00:25:03,119 --> 00:25:05,920 Speaker 4: They shouldn't be worried that they're going to be seen 458 00:25:06,119 --> 00:25:10,159 Speaker 4: as uncompromising or they're not getting anything doing. You know, 459 00:25:10,200 --> 00:25:14,919 Speaker 4: they should do what used to be Buckley said of conservatism, 460 00:25:14,960 --> 00:25:17,280 Speaker 4: that stand in the wake of history and say no, 461 00:25:18,000 --> 00:25:20,600 Speaker 4: that's what they should be doing, and doing it loudly. 462 00:25:20,880 --> 00:25:24,600 Speaker 2: Stuart Stevens. Thank you, thank you, thank you, thank you, 463 00:25:25,000 --> 00:25:25,320 Speaker 2: thank you. 464 00:25:25,400 --> 00:25:25,680 Speaker 3: Molly. 465 00:25:28,720 --> 00:25:32,760 Speaker 2: Dija Fox is a congressional candidate in Arizona seventh District. 466 00:25:33,200 --> 00:25:37,320 Speaker 2: Welcome to Fast Politics. Oh my god, I'm so excited, Dija. 467 00:25:37,760 --> 00:25:39,440 Speaker 5: Hello, thank you for having me. 468 00:25:40,000 --> 00:25:42,200 Speaker 2: We just did the math and we have known each 469 00:25:42,240 --> 00:25:44,480 Speaker 2: other very rufually. I mean, we don't know each other well, 470 00:25:44,560 --> 00:25:47,399 Speaker 2: but for eight years. I'm going to embarrass you and 471 00:25:47,440 --> 00:25:51,679 Speaker 2: tell the story of when I met you. Can I 472 00:25:51,720 --> 00:25:54,320 Speaker 2: do that for a minute, go for it. So we 473 00:25:54,320 --> 00:25:59,399 Speaker 2: were at an event and Women's magazine honoring you. You 474 00:25:59,480 --> 00:26:05,960 Speaker 2: have incredible story of your upbringing and how you grew up, 475 00:26:06,440 --> 00:26:08,760 Speaker 2: and again you can tell I'm sure I'm making mistakes 476 00:26:08,800 --> 00:26:10,879 Speaker 2: here because it was like almost a decade ago, but 477 00:26:11,520 --> 00:26:17,160 Speaker 2: you grew up very modest circumstances, sometimes doing your homework 478 00:26:17,240 --> 00:26:19,200 Speaker 2: in your car where you were living. 479 00:26:19,640 --> 00:26:22,120 Speaker 5: Yeah. Yeah, we didn't have Wi Fi at my home, 480 00:26:22,240 --> 00:26:24,480 Speaker 5: so I would often have to take you know, go 481 00:26:24,560 --> 00:26:28,840 Speaker 5: to the library and sometimes even sit outside to use that. 482 00:26:29,240 --> 00:26:32,880 Speaker 2: But you did end up getting a scholarship to. 483 00:26:32,920 --> 00:26:37,080 Speaker 5: Barnard, actually to Columbia. But yes, Tywambia moving to New 484 00:26:37,200 --> 00:26:41,160 Speaker 5: York on a full ride. At Columbia in twenty eighteen 485 00:26:41,480 --> 00:26:44,880 Speaker 5: and became the first of my family to go to college. 486 00:26:45,160 --> 00:26:46,879 Speaker 5: It could not have been more of a one to 487 00:26:46,960 --> 00:26:49,240 Speaker 5: eighty from where I was at. Right. I wrote my 488 00:26:49,520 --> 00:26:52,399 Speaker 5: college essays on my phone while working at the gas 489 00:26:52,400 --> 00:26:58,920 Speaker 5: station after school, and I've since graduated and moved back 490 00:26:58,960 --> 00:27:01,480 Speaker 5: to Arizona, where I'm now running for office. 491 00:27:01,800 --> 00:27:06,800 Speaker 2: Let's talk about what it looks like in Arizona right now. 492 00:27:07,000 --> 00:27:09,720 Speaker 2: Arizona is such an interesting state. The really one of 493 00:27:09,760 --> 00:27:14,080 Speaker 2: the very few states where you had Trump Reuben Diego voters. 494 00:27:14,320 --> 00:27:16,439 Speaker 2: What does it take to win in Arizona and what 495 00:27:16,480 --> 00:27:20,120 Speaker 2: does Arizona look like? And also, you're running in a primary, 496 00:27:20,320 --> 00:27:22,480 Speaker 2: I want you to talk us through what your race 497 00:27:22,520 --> 00:27:23,000 Speaker 2: looks like. 498 00:27:23,560 --> 00:27:28,200 Speaker 5: Yeah, I mean, Arizona is an interesting place, right and 499 00:27:28,280 --> 00:27:30,280 Speaker 5: it's one of the things I love most about it 500 00:27:30,320 --> 00:27:35,000 Speaker 5: is that people here think really critically. But also, you know, 501 00:27:35,600 --> 00:27:40,199 Speaker 5: we have a real group of independence out here. And 502 00:27:40,240 --> 00:27:43,280 Speaker 5: so you're right to say that this last election showed 503 00:27:43,320 --> 00:27:46,600 Speaker 5: us some interesting numbers, right that Trump ended up winning 504 00:27:46,600 --> 00:27:50,440 Speaker 5: out here in Arizona. But we also saw Reuben Diego, 505 00:27:50,480 --> 00:27:53,359 Speaker 5: a Democrat, pull through in the Senate. And you know 506 00:27:53,400 --> 00:27:56,159 Speaker 5: what I think is maybe most interesting of all is 507 00:27:56,200 --> 00:28:00,000 Speaker 5: that we saw our abortion initiative, our citizens ballot initiative 508 00:28:00,480 --> 00:28:05,359 Speaker 5: pass and with a historic number of signatures to qualify, 509 00:28:05,440 --> 00:28:09,399 Speaker 5: they gathered something like eight hundred thousand, and so I 510 00:28:09,400 --> 00:28:12,240 Speaker 5: think it's safe to say that here in Arizona, people 511 00:28:12,280 --> 00:28:16,400 Speaker 5: are with us on the issues. And when we look 512 00:28:16,440 --> 00:28:20,000 Speaker 5: at a race like mine, I'm running for congress in 513 00:28:20,080 --> 00:28:24,000 Speaker 5: Congressional Districts seven here in Arizona that includes parts of 514 00:28:24,119 --> 00:28:29,400 Speaker 5: South and West Tucson, my hometown, two neighborhoods up in Phoenix, 515 00:28:30,119 --> 00:28:34,080 Speaker 5: and hundreds of miles of the US Mexico border. And 516 00:28:34,600 --> 00:28:38,120 Speaker 5: my district is one of the safer and bluer congressional 517 00:28:38,160 --> 00:28:42,160 Speaker 5: districts in Arizona. And so what's really on the line 518 00:28:42,240 --> 00:28:46,440 Speaker 5: in this race and in this primary is an opportunity 519 00:28:47,160 --> 00:28:51,400 Speaker 5: to one make history by electing one of the youngest members, 520 00:28:51,400 --> 00:28:55,160 Speaker 5: the youngest member, and the first woman of my generation. 521 00:28:55,560 --> 00:28:55,760 Speaker 2: Right. 522 00:28:56,160 --> 00:28:58,240 Speaker 5: And then you know, the other piece that I'll point 523 00:28:58,320 --> 00:29:02,160 Speaker 5: out here is that in this primary I'm running against 524 00:29:02,240 --> 00:29:06,360 Speaker 5: two other folks, and I think what makes me stand 525 00:29:06,360 --> 00:29:08,680 Speaker 5: out is I'm the break from the status quo. I'm 526 00:29:08,720 --> 00:29:11,479 Speaker 5: not a career politician. I got my start as an 527 00:29:11,520 --> 00:29:16,320 Speaker 5: activist a decade ago, and so I know power from 528 00:29:16,360 --> 00:29:19,600 Speaker 5: the other side of the diis. 529 00:29:19,160 --> 00:29:19,320 Speaker 4: You know. 530 00:29:19,880 --> 00:29:23,240 Speaker 5: And I think in this moment where Trump has really 531 00:29:23,280 --> 00:29:26,840 Speaker 5: thrown us into a sense of lawlessness, right where it 532 00:29:26,880 --> 00:29:30,480 Speaker 5: feels like rules suddenly don't matter, we need someone with 533 00:29:30,520 --> 00:29:34,400 Speaker 5: an advocacy lens right, with an activist's experience, to be 534 00:29:34,480 --> 00:29:37,680 Speaker 5: an obstructionist to his agenda and to make people at 535 00:29:37,720 --> 00:29:40,080 Speaker 5: home feel like somebody is fighting for them. 536 00:29:40,560 --> 00:29:42,880 Speaker 2: Yeah, I would love you to talk about that, because 537 00:29:42,880 --> 00:29:45,520 Speaker 2: as a member of Congress, you have power, but you 538 00:29:45,560 --> 00:29:48,360 Speaker 2: also don't have that much power. So how do you 539 00:29:48,560 --> 00:29:53,400 Speaker 2: feel like you could use this congressional seat to really 540 00:29:53,880 --> 00:29:54,960 Speaker 2: push against this? 541 00:29:55,400 --> 00:29:58,040 Speaker 5: I mean, I think first things first, Right, just by 542 00:29:58,080 --> 00:30:01,280 Speaker 5: the nature of me being in this seat, the dynamics 543 00:30:01,320 --> 00:30:05,040 Speaker 5: of power in Washington would look different. As it stands, 544 00:30:05,080 --> 00:30:08,200 Speaker 5: something like one in five Americans are of my generation 545 00:30:08,400 --> 00:30:12,400 Speaker 5: Gen Z, and yet we have a single representative in Congress, 546 00:30:12,440 --> 00:30:16,160 Speaker 5: Like that is a true representation problem, right, And by 547 00:30:16,240 --> 00:30:19,320 Speaker 5: the nature of having someone not just a young person 548 00:30:19,360 --> 00:30:22,960 Speaker 5: for whom the climate crisis is not theoretical, right, for 549 00:30:23,040 --> 00:30:25,720 Speaker 5: whom I am a part of the first generation of 550 00:30:25,760 --> 00:30:28,440 Speaker 5: women to have less rights than our mothers, right, Like, 551 00:30:28,520 --> 00:30:31,200 Speaker 5: I bring a different perspective to this work by the 552 00:30:31,320 --> 00:30:35,120 Speaker 5: nature of my age. The other thing I'll say, as 553 00:30:35,160 --> 00:30:36,760 Speaker 5: it relates to age and how I would do this 554 00:30:36,880 --> 00:30:39,520 Speaker 5: job differently, is that Donald Trump has been running for 555 00:30:39,560 --> 00:30:43,880 Speaker 5: president since I was fifteen years old. The entirety of 556 00:30:43,920 --> 00:30:48,600 Speaker 5: my sort of political consciousness has been affected by this 557 00:30:48,720 --> 00:30:51,360 Speaker 5: man and the circus he is running up in DC. 558 00:30:51,960 --> 00:30:55,640 Speaker 5: And so when we ask how would I do things differently, 559 00:30:56,040 --> 00:30:58,840 Speaker 5: I think you're right to say that under a Trump trifecta, 560 00:30:59,320 --> 00:31:03,080 Speaker 5: it feels like even people holding some of the offices 561 00:31:03,120 --> 00:31:05,880 Speaker 5: with the most power seem to have their hands tied 562 00:31:05,920 --> 00:31:08,959 Speaker 5: on what they can do. My commitment is that I 563 00:31:09,000 --> 00:31:12,920 Speaker 5: would learn the ins and outs of Capitol Hill, right, 564 00:31:13,240 --> 00:31:17,120 Speaker 5: things like parliamentary maneuvers, to be a true obstructionist to 565 00:31:17,200 --> 00:31:21,080 Speaker 5: his agenda, especially when it comes to tax cuts for 566 00:31:21,880 --> 00:31:24,280 Speaker 5: the billionaires and most wealthy among us. 567 00:31:24,360 --> 00:31:24,600 Speaker 4: Right. 568 00:31:25,080 --> 00:31:27,560 Speaker 5: And then the next thing I'll say, and I think 569 00:31:27,840 --> 00:31:34,080 Speaker 5: this can't be understated, is that we need more effective messengers. 570 00:31:34,480 --> 00:31:36,760 Speaker 2: Right. I was actually about to bring that up. 571 00:31:36,840 --> 00:31:40,160 Speaker 5: Yeah, go on, I mean I have interviewed these electeds, right, 572 00:31:40,440 --> 00:31:42,840 Speaker 5: I've gone up to DC with my mini mic and 573 00:31:42,920 --> 00:31:46,880 Speaker 5: questions in hand, even you know, most recently at the 574 00:31:46,960 --> 00:31:49,120 Speaker 5: joint address the State of the Union, if you will, 575 00:31:49,680 --> 00:31:54,120 Speaker 5: and I left disappointed these folks are not keeping up 576 00:31:54,240 --> 00:31:58,160 Speaker 5: in our own party with the changing media landscape. Right, 577 00:31:58,200 --> 00:32:02,320 Speaker 5: something like thirty nine of adults under thirty get their 578 00:32:02,400 --> 00:32:05,000 Speaker 5: news on TikTok, And so if we're going to stay 579 00:32:05,000 --> 00:32:09,000 Speaker 5: competitive with the right, we need to build a more 580 00:32:09,000 --> 00:32:16,800 Speaker 5: effective media ecosystem and have the kind of representation and electeds, 581 00:32:16,920 --> 00:32:20,600 Speaker 5: especially in these safe blue seats, who can meet the moment, 582 00:32:20,920 --> 00:32:25,239 Speaker 5: who can translate a message into digital spaces, and our 583 00:32:25,280 --> 00:32:28,800 Speaker 5: campaign is doing that already. We have over four million 584 00:32:29,000 --> 00:32:33,600 Speaker 5: organic views in the last month on Instagram and TikTok 585 00:32:33,640 --> 00:32:37,640 Speaker 5: and a special election primary in Arizona, right, Like, imagine 586 00:32:37,640 --> 00:32:39,600 Speaker 5: what we could do with the power of that seat. 587 00:32:39,680 --> 00:32:42,560 Speaker 5: And at a time where Democrats have an approval rating 588 00:32:42,640 --> 00:32:45,960 Speaker 5: in the twenties, we should be looking to say, who 589 00:32:45,960 --> 00:32:48,680 Speaker 5: are our new voices, what does new leadership look like, 590 00:32:48,920 --> 00:32:51,760 Speaker 5: and who can we send into these these safer and 591 00:32:51,800 --> 00:32:54,520 Speaker 5: bluer seats to make people at home feel fought for 592 00:32:55,080 --> 00:32:55,959 Speaker 5: so we don't lose them. 593 00:32:56,440 --> 00:33:01,280 Speaker 2: Yeah, I also think that some of the problem that 594 00:33:01,360 --> 00:33:06,600 Speaker 2: we're seeing is just that there's just not enough explaining 595 00:33:06,640 --> 00:33:11,160 Speaker 2: that goes on, and you can't necessarily explain the stuff 596 00:33:11,240 --> 00:33:16,360 Speaker 2: if you are using traditional platforms. So I'm thinking about 597 00:33:16,480 --> 00:33:20,240 Speaker 2: AOC as ranking member of Oversight. One of the really 598 00:33:20,480 --> 00:33:25,120 Speaker 2: big enforced errors I think that Democrats did was they 599 00:33:25,160 --> 00:33:28,800 Speaker 2: refuse to make AOC ranking on Oversight, and the thinking 600 00:33:29,000 --> 00:33:32,520 Speaker 2: was it wasn't her turn because Jerry Connolly had been 601 00:33:32,520 --> 00:33:34,200 Speaker 2: on oversight for a long time and a lot of 602 00:33:34,200 --> 00:33:35,960 Speaker 2: people felt they owed him discussed. 603 00:33:36,200 --> 00:33:38,760 Speaker 5: Yeah, I mean that resonates with me. That kind of 604 00:33:38,800 --> 00:33:42,400 Speaker 5: thinking out in DC is exactly what I'm going up 605 00:33:42,440 --> 00:33:46,239 Speaker 5: against right now in my primary. Right this idea that 606 00:33:46,280 --> 00:33:49,400 Speaker 5: we need to wait our turn, that the Republican Party 607 00:33:49,480 --> 00:33:51,160 Speaker 5: is going to go back to normal if we just 608 00:33:51,240 --> 00:33:53,480 Speaker 5: give it some time, which young people like me know 609 00:33:54,200 --> 00:33:58,239 Speaker 5: is not true. Right, that politics has forever changed in 610 00:33:58,240 --> 00:34:01,240 Speaker 5: this country, and we needeople who are willing to meet 611 00:34:01,280 --> 00:34:04,200 Speaker 5: that moment, who are willing to be the messengers who 612 00:34:04,240 --> 00:34:07,000 Speaker 5: are going to do that explaining to help people understand 613 00:34:07,040 --> 00:34:10,880 Speaker 5: what is happening in DC and not just the awful 614 00:34:10,960 --> 00:34:13,520 Speaker 5: things that are being done on the right in real 615 00:34:13,600 --> 00:34:17,279 Speaker 5: time and at a frequency that is impossible to keep 616 00:34:17,400 --> 00:34:21,080 Speaker 5: up with but on our side, right, how are we 617 00:34:21,160 --> 00:34:23,480 Speaker 5: fighting for them? And I think one of the I 618 00:34:23,600 --> 00:34:26,440 Speaker 5: liked this phrase used unforced errors, right, sort of. One 619 00:34:26,440 --> 00:34:28,480 Speaker 5: of the things I think Democrats are leaving on the 620 00:34:28,520 --> 00:34:32,919 Speaker 5: table is they're failing to even explain what they're doing well. Right, 621 00:34:33,400 --> 00:34:36,760 Speaker 5: But you know, you're right to say that our party 622 00:34:37,120 --> 00:34:41,000 Speaker 5: has a deficit of leadership in this moment, and we 623 00:34:41,080 --> 00:34:44,760 Speaker 5: see it in moments where folks like AOC are denied 624 00:34:45,320 --> 00:34:49,480 Speaker 5: leadership positions despite coming in at the top when asked. 625 00:34:49,560 --> 00:34:52,040 Speaker 5: You know, there was a CNN poll I believe that 626 00:34:52,200 --> 00:34:56,719 Speaker 5: asked who in the Democratic Party which elected best represents 627 00:34:56,800 --> 00:35:00,160 Speaker 5: our core values? And AOC rose to the top right. 628 00:35:00,520 --> 00:35:04,560 Speaker 5: And so instead of listening to the people right and 629 00:35:05,080 --> 00:35:11,120 Speaker 5: mirroring that in our leadership structures, DC has constantly and 630 00:35:11,239 --> 00:35:15,400 Speaker 5: consistently tried the top down approach that they know better 631 00:35:15,440 --> 00:35:18,640 Speaker 5: than people, right, And we're seeing that been in elections 632 00:35:18,719 --> 00:35:22,560 Speaker 5: like mine, where there's pushback on having a true primary. 633 00:35:23,080 --> 00:35:29,160 Speaker 5: Right would rather have selections than elections because it feels safer, 634 00:35:29,320 --> 00:35:34,120 Speaker 5: more predictable people who are really entrenched in this establishment. 635 00:35:34,440 --> 00:35:37,160 Speaker 5: But for folks like me, right, I am at the 636 00:35:37,200 --> 00:35:43,080 Speaker 5: doors listening to constituents and online right reading the TikTok comments, 637 00:35:43,440 --> 00:35:47,000 Speaker 5: taking a pulse for where our party and where young people, 638 00:35:47,040 --> 00:35:50,200 Speaker 5: in particular the future of our party are at. And 639 00:35:50,560 --> 00:35:53,960 Speaker 5: we know that we need newer and younger voices if 640 00:35:53,960 --> 00:35:56,680 Speaker 5: we're going to have a party for my generation to inherit. 641 00:35:57,200 --> 00:36:01,360 Speaker 2: Yeah, so I'm wondering if you could explain to us 642 00:36:01,640 --> 00:36:05,040 Speaker 2: one of the things that I think that traditional Democrats 643 00:36:05,040 --> 00:36:08,320 Speaker 2: don't feel comfortable with is doing the kind of media 644 00:36:08,360 --> 00:36:12,319 Speaker 2: that they probably need to explain to us what that 645 00:36:12,360 --> 00:36:14,200 Speaker 2: looks like and how they should do it. 646 00:36:14,360 --> 00:36:18,000 Speaker 5: The media landscape has changed so much, even in the 647 00:36:18,080 --> 00:36:22,120 Speaker 5: last ten years. I had my first viral video in 648 00:36:22,239 --> 00:36:26,000 Speaker 5: twenty seventeen going toe to toe with my former senator, 649 00:36:26,040 --> 00:36:30,440 Speaker 5: a Republican, Jeff Flake, over his attempts to defund planned parenthood. Right, 650 00:36:30,880 --> 00:36:33,880 Speaker 5: I shouldn't fit his town hall, which Republicans do not 651 00:36:34,040 --> 00:36:35,480 Speaker 5: seem to be hosting anymore. 652 00:36:35,560 --> 00:36:38,359 Speaker 2: When they used to do town hall right in the. 653 00:36:38,239 --> 00:36:41,960 Speaker 5: Era in which Republicans had town halls and like would 654 00:36:41,960 --> 00:36:45,120 Speaker 5: go and be face to face with their constituents, a 655 00:36:45,120 --> 00:36:48,759 Speaker 5: bygone era of democracy. I fear, and I asked him 656 00:36:48,800 --> 00:36:51,160 Speaker 5: why he is a middle aged white man was making 657 00:36:51,160 --> 00:36:53,359 Speaker 5: decisions about me and my body, right, And he says 658 00:36:53,400 --> 00:36:55,440 Speaker 5: this thing about how he supports policies that support the 659 00:36:55,480 --> 00:36:58,120 Speaker 5: American Dream, and I ask him why he would deny 660 00:36:58,200 --> 00:37:01,160 Speaker 5: me the American Dream. And millions of people overnight on 661 00:37:01,239 --> 00:37:05,600 Speaker 5: Twitter and Facebook saw that video, and I share that 662 00:37:05,760 --> 00:37:08,400 Speaker 5: story to say that in the last what is that 663 00:37:08,520 --> 00:37:11,640 Speaker 5: eight years since we've known each other, the landscape on 664 00:37:11,719 --> 00:37:15,480 Speaker 5: which we are meeting people, in which they are developing 665 00:37:15,480 --> 00:37:20,359 Speaker 5: their political understanding has shifted. And for someone like me, right, 666 00:37:20,680 --> 00:37:24,360 Speaker 5: who has been ear to the ground, following each platform 667 00:37:24,400 --> 00:37:28,319 Speaker 5: as it develops and really working in digital strategy, right 668 00:37:28,360 --> 00:37:31,560 Speaker 5: for candidates even like Kamala Harris, I've been able to 669 00:37:31,640 --> 00:37:33,840 Speaker 5: keep up with that shift. But for a lot of 670 00:37:33,960 --> 00:37:40,240 Speaker 5: these legacy folks, establishment Dems on our side, they're failing 671 00:37:40,320 --> 00:37:44,919 Speaker 5: to see the movement of attention and political understanding. There's 672 00:37:44,960 --> 00:37:48,799 Speaker 5: a bit of even an elitism, if you will, around 673 00:37:49,200 --> 00:37:53,960 Speaker 5: who builds political understanding right that there's no way that 674 00:37:54,120 --> 00:37:57,960 Speaker 5: someone like me, with hundreds of thousands of followers on 675 00:37:58,000 --> 00:38:01,440 Speaker 5: TikTok and Instagram, there's no way that I could be 676 00:38:01,520 --> 00:38:06,000 Speaker 5: the one building people's political understandings over something like you know, 677 00:38:06,200 --> 00:38:09,400 Speaker 5: a more traditional CNN or MSNBC, which is behind a 678 00:38:09,440 --> 00:38:13,319 Speaker 5: paywall for most people of my generation and inaccessible, and 679 00:38:13,400 --> 00:38:17,120 Speaker 5: so you know, I think it will take candidates like 680 00:38:17,200 --> 00:38:19,799 Speaker 5: me who are taking a new media approach right, who 681 00:38:19,840 --> 00:38:22,880 Speaker 5: are hopping on the podcasts and doing the substack live 682 00:38:22,960 --> 00:38:28,240 Speaker 5: streams and consistently pumping out viral content with organic views 683 00:38:28,360 --> 00:38:32,520 Speaker 5: all across the country and in district to change their minds. 684 00:38:32,800 --> 00:38:35,560 Speaker 5: We still have to prove concept to some of these 685 00:38:35,600 --> 00:38:39,840 Speaker 5: more traditional folks. But I think what is scarier is 686 00:38:39,880 --> 00:38:42,800 Speaker 5: that we may not have time that if we don't 687 00:38:42,840 --> 00:38:47,560 Speaker 5: start being competitive in these digital spaces. We already saw 688 00:38:47,560 --> 00:38:50,359 Speaker 5: an indicator of this in twenty twenty four, but the 689 00:38:50,440 --> 00:38:54,319 Speaker 5: other side already has a head start. And if we 690 00:38:54,360 --> 00:38:57,400 Speaker 5: don't start closing the gap now by electing people who 691 00:38:57,480 --> 00:39:01,279 Speaker 5: are strong messagers in new media and digital spaces, if 692 00:39:01,320 --> 00:39:05,360 Speaker 5: we don't start investing in the creators who have strong 693 00:39:05,400 --> 00:39:09,200 Speaker 5: podcasts and interview series and live streams right by giving 694 00:39:09,200 --> 00:39:13,359 Speaker 5: them access to our electeds and letting them ask real questions, 695 00:39:13,719 --> 00:39:17,840 Speaker 5: and if we don't start investing in that media ecosystem overall, 696 00:39:17,880 --> 00:39:19,959 Speaker 5: like we are going to be in a really bad 697 00:39:20,040 --> 00:39:21,840 Speaker 5: spot in twenty twenty eight. 698 00:39:22,000 --> 00:39:24,480 Speaker 2: You know, it's funny because I actually don't think it 699 00:39:24,520 --> 00:39:28,200 Speaker 2: necessarily matters what the questions you ask people are. Has 700 00:39:28,239 --> 00:39:30,719 Speaker 2: someone who has been doing interviewing for a long time. 701 00:39:31,200 --> 00:39:33,560 Speaker 2: I actually think people just say what they want to 702 00:39:33,600 --> 00:39:36,759 Speaker 2: say and you want to sort of direct them. But 703 00:39:37,200 --> 00:39:39,719 Speaker 2: there are certain people who will tell you more on 704 00:39:39,880 --> 00:39:42,960 Speaker 2: a staff than other people. And I think one of 705 00:39:43,040 --> 00:39:45,920 Speaker 2: the things that I have been really struggling with is 706 00:39:45,960 --> 00:39:50,600 Speaker 2: this sort of mckinseying of democratic speak, so where you 707 00:39:50,680 --> 00:39:54,320 Speaker 2: interview someone but they really refuse to tell you anything 708 00:39:54,840 --> 00:39:58,680 Speaker 2: that is particularly relevant. And look, sometimes that's been used 709 00:39:58,680 --> 00:40:01,200 Speaker 2: to great effect, but at this point, I think it's 710 00:40:01,280 --> 00:40:03,919 Speaker 2: losing more elections than it's winning for Democrats. 711 00:40:04,360 --> 00:40:05,879 Speaker 5: Yeah, I couldn't agree with you. 712 00:40:06,040 --> 00:40:06,360 Speaker 4: More. 713 00:40:06,880 --> 00:40:11,359 Speaker 5: People's bs radar is up right and what they expect 714 00:40:11,760 --> 00:40:18,480 Speaker 5: not only from politicians but from celebrities right influencers. Even 715 00:40:18,840 --> 00:40:22,040 Speaker 5: because of the nature of social media, where anyone can 716 00:40:22,160 --> 00:40:25,279 Speaker 5: leave a comment for the entire world to see, or 717 00:40:25,360 --> 00:40:29,000 Speaker 5: send a DM in real time to anyone they want 718 00:40:29,040 --> 00:40:32,080 Speaker 5: anywhere in the world. Right, there is a new expectation 719 00:40:32,760 --> 00:40:37,719 Speaker 5: of transparency and accountability in our culture because of the 720 00:40:37,719 --> 00:40:40,839 Speaker 5: structures of these social media platforms and the ways they 721 00:40:40,840 --> 00:40:46,160 Speaker 5: have affected our social relationships. And one thing I'm really 722 00:40:46,160 --> 00:40:49,680 Speaker 5: proud of on our campaign is the level of transparency 723 00:40:49,800 --> 00:40:52,720 Speaker 5: we're bringing to this process. I once again will stress 724 00:40:53,120 --> 00:40:56,080 Speaker 5: that this is a special election primary in the middle 725 00:40:56,120 --> 00:40:58,960 Speaker 5: of summer in Arizona, with like one hundred days in it. 726 00:41:00,080 --> 00:41:04,680 Speaker 5: There is absolutely no expectation from like an establishment point 727 00:41:04,680 --> 00:41:07,520 Speaker 5: of view of bringing new people into this process. This 728 00:41:07,560 --> 00:41:09,680 Speaker 5: is the kind of election where they're like, focus on 729 00:41:09,680 --> 00:41:12,680 Speaker 5: the high efficacy voters and leave everybody else behind. And 730 00:41:12,719 --> 00:41:15,279 Speaker 5: that is absolutely not what we are doing over here. 731 00:41:15,560 --> 00:41:18,320 Speaker 5: We are doing what you said earlier, which is explaining 732 00:41:18,440 --> 00:41:19,200 Speaker 5: the process. 733 00:41:19,320 --> 00:41:19,520 Speaker 4: Right. 734 00:41:19,800 --> 00:41:22,800 Speaker 5: We took people along as we gathered signatures. We showed 735 00:41:22,840 --> 00:41:26,319 Speaker 5: them the process of literally submitting those signatures to the 736 00:41:26,320 --> 00:41:29,680 Speaker 5: Secretary of State's office, and then showed them the receipts 737 00:41:29,719 --> 00:41:32,560 Speaker 5: of how many we had, right, like the actual receipt 738 00:41:32,600 --> 00:41:35,360 Speaker 5: from his office. We've taken them behind the scenes on 739 00:41:35,400 --> 00:41:38,920 Speaker 5: things like fundraising. You know, there is probably hundreds of 740 00:41:39,000 --> 00:41:42,840 Speaker 5: thousands of more people that know now what rolodexing and 741 00:41:42,960 --> 00:41:46,920 Speaker 5: call time are because of our videos, and so, you know, 742 00:41:47,120 --> 00:41:50,120 Speaker 5: I think pulling back a little bit of that rather 743 00:41:50,520 --> 00:41:52,680 Speaker 5: one of the benefits of our campaign, and the way 744 00:41:52,719 --> 00:41:55,120 Speaker 5: we are doing things differently by the nature of being 745 00:41:55,480 --> 00:41:59,719 Speaker 5: a candidate who is transparent and available online, is that 746 00:41:59,719 --> 00:42:02,920 Speaker 5: we are making this process more transparent as we go. 747 00:42:03,480 --> 00:42:05,640 Speaker 5: And I think the effects of that are still yet 748 00:42:05,640 --> 00:42:07,960 Speaker 5: to be seen, but we know that it's one of 749 00:42:07,960 --> 00:42:11,960 Speaker 5: the issues that democrats and our democracy at large are facing. 750 00:42:12,080 --> 00:42:15,680 Speaker 5: Right There is an issue of transparency, of people feeling 751 00:42:15,719 --> 00:42:18,520 Speaker 5: like they're included in the process. And the other thing 752 00:42:19,040 --> 00:42:21,200 Speaker 5: that is still left to be seen but will will 753 00:42:21,239 --> 00:42:25,000 Speaker 5: know shortly, is how it will affect other young people 754 00:42:25,280 --> 00:42:28,600 Speaker 5: who are considering a run for office. I get, I'm 755 00:42:28,640 --> 00:42:31,799 Speaker 5: not kidding you, hundreds of dms of young people who 756 00:42:31,840 --> 00:42:35,080 Speaker 5: are interested in running for office because of the content 757 00:42:35,440 --> 00:42:39,279 Speaker 5: they are seeing on my platform around this election, right, 758 00:42:39,640 --> 00:42:42,920 Speaker 5: who want to know more about the process, who are 759 00:42:43,000 --> 00:42:46,400 Speaker 5: frustrated and fed up, and who want to take action. 760 00:42:46,560 --> 00:42:49,600 Speaker 5: And I think it can't be understated that after losing 761 00:42:49,680 --> 00:42:52,600 Speaker 5: so many young people in this last election to apathy 762 00:42:52,719 --> 00:42:55,920 Speaker 5: or to the other side, that we need leaders who 763 00:42:55,960 --> 00:42:59,600 Speaker 5: are inspiring young people to get involved, right, who make 764 00:42:59,600 --> 00:43:03,799 Speaker 5: it feel possible, not more folks who you know, through 765 00:43:03,840 --> 00:43:07,120 Speaker 5: the means of legacy and establishment, make this feel even 766 00:43:07,239 --> 00:43:10,239 Speaker 5: further away and affirm what people already believe, which is 767 00:43:10,239 --> 00:43:12,279 Speaker 5: that this political process isn't for them. 768 00:43:12,640 --> 00:43:16,359 Speaker 2: Yeah, thank you, thank you, thank you for joining. 769 00:43:16,080 --> 00:43:18,080 Speaker 5: Us, thank you for having me, and thank you for 770 00:43:18,120 --> 00:43:20,960 Speaker 5: your thoughtful questions. Nobody said it was going to be easy. 771 00:43:21,440 --> 00:43:23,640 Speaker 5: It's hard work and it's good work. And I hope 772 00:43:23,640 --> 00:43:26,759 Speaker 5: that people will join in to support our work and 773 00:43:26,840 --> 00:43:29,839 Speaker 5: our campaign because we really have a shot to make 774 00:43:29,920 --> 00:43:31,759 Speaker 5: history over here in Arizona. But we only got a 775 00:43:31,800 --> 00:43:32,560 Speaker 5: few weeks left. 776 00:43:32,719 --> 00:43:33,880 Speaker 2: Who are you running a hand? 777 00:43:34,160 --> 00:43:37,680 Speaker 5: There are two other folks in this Democratic primary of note. 778 00:43:38,400 --> 00:43:42,359 Speaker 5: One is a former state legislator and the other came 779 00:43:42,360 --> 00:43:45,800 Speaker 5: off the board of supervisors and is the former congressman's daughter. 780 00:43:46,280 --> 00:43:48,800 Speaker 2: Oh wow, yeah. And is she young? 781 00:43:49,480 --> 00:43:52,560 Speaker 5: No, she's in her fifties. And I think what you 782 00:43:52,640 --> 00:43:55,000 Speaker 5: need to know about the difference between me and them 783 00:43:55,480 --> 00:43:59,640 Speaker 5: is that when it comes to experience, mine is in 784 00:43:59,680 --> 00:44:03,319 Speaker 5: an act advocacy realm right, you know. The experience that 785 00:44:03,320 --> 00:44:05,120 Speaker 5: I bring is advocacy. 786 00:44:06,680 --> 00:44:10,880 Speaker 2: Carol Cadwalder is an investigative journalist and the author of 787 00:44:10,920 --> 00:44:15,040 Speaker 2: The Family Tree. Welcome to Fast Politics. 788 00:44:16,640 --> 00:44:19,280 Speaker 6: So nice to be here, great fan, great fans. 789 00:44:19,800 --> 00:44:23,680 Speaker 2: Well, it's very mutual so your atjourney started with the 790 00:44:23,800 --> 00:44:26,120 Speaker 2: journey of Braxit. 791 00:44:26,400 --> 00:44:28,960 Speaker 6: Which journey are we talking? Well? 792 00:44:28,960 --> 00:44:31,240 Speaker 2: I feel like I want you to give us your 793 00:44:31,440 --> 00:44:34,799 Speaker 2: for those who are not as dialed in as Jesse 794 00:44:34,920 --> 00:44:35,480 Speaker 2: and I are. 795 00:44:35,960 --> 00:44:38,439 Speaker 6: The hell is this British chick of what you're doing 796 00:44:38,440 --> 00:44:39,200 Speaker 6: on your podcast? 797 00:44:39,320 --> 00:44:43,479 Speaker 2: Is that all right? Yeah? You can do this with Yeah. 798 00:44:44,800 --> 00:44:48,520 Speaker 6: So basically who am I? I am an investigative journalist. 799 00:44:48,960 --> 00:44:53,840 Speaker 6: I was until three weeks ago a Guardian journalist, but 800 00:44:54,040 --> 00:44:57,279 Speaker 6: I have been expelled now from mainstream media. I've been 801 00:44:57,280 --> 00:45:01,799 Speaker 6: clinging on but anyway, they the Guardians, sold my bit 802 00:45:01,840 --> 00:45:06,319 Speaker 6: of the organization and so anyway, long story, but I'm out. 803 00:45:08,200 --> 00:45:10,360 Speaker 6: But I'm enjoying my liberty and freedom I have to 804 00:45:10,400 --> 00:45:13,520 Speaker 6: tell you, which enables me to be quite punchy. Which 805 00:45:13,719 --> 00:45:16,960 Speaker 6: is I mean, I've been pretty punchy, but I feel 806 00:45:17,000 --> 00:45:19,360 Speaker 6: that I don't know something about age is becoming more so. 807 00:45:19,760 --> 00:45:24,040 Speaker 6: But to answer the question, I essentially my beat became 808 00:45:24,120 --> 00:45:28,759 Speaker 6: in twenty sixteen. My beat really became this thing which 809 00:45:28,840 --> 00:45:32,480 Speaker 6: was the intersection of technology and politics, and of course 810 00:45:32,520 --> 00:45:36,759 Speaker 6: that means technology and democracy. And I was kind of 811 00:45:36,800 --> 00:45:39,960 Speaker 6: just terrified. I'd been reporting on tech for quite a 812 00:45:40,000 --> 00:45:43,799 Speaker 6: long time. By that stage, but very much from as generalist, 813 00:45:44,280 --> 00:45:47,120 Speaker 6: like I'm a feature writer, that's my background. It's very 814 00:45:47,200 --> 00:45:50,799 Speaker 6: much about like explaining to the world how this stuff worked, 815 00:45:50,880 --> 00:45:53,040 Speaker 6: rather than doing the sort of like my new who 816 00:45:53,200 --> 00:45:56,600 Speaker 6: is a great new product. Anyway, in that sort of 817 00:45:56,920 --> 00:46:00,600 Speaker 6: I sort of became terrified about what I discovered in 818 00:46:00,760 --> 00:46:04,879 Speaker 6: the twenty sixteen. It was really actually the thing which 819 00:46:04,960 --> 00:46:07,280 Speaker 6: really sent me down the rabbit hole was the election 820 00:46:07,360 --> 00:46:09,920 Speaker 6: of Trump. And then that I started pulling on a 821 00:46:10,000 --> 00:46:14,439 Speaker 6: string and I discovered this really shady data company called 822 00:46:14,520 --> 00:46:16,280 Speaker 6: Cambridge Analytica. 823 00:46:16,280 --> 00:46:19,319 Speaker 2: And little by little I pulled that. 824 00:46:19,280 --> 00:46:22,719 Speaker 6: String and sort of discovered this huge scandal, the Facebook 825 00:46:22,760 --> 00:46:26,880 Speaker 6: Cambridge Analytica scandal, which was this massive data breach in 826 00:46:26,920 --> 00:46:32,319 Speaker 6: which eighty seven million people's Facebook profiles were harvested and 827 00:46:32,400 --> 00:46:36,680 Speaker 6: then used essentially to help elect Trump and the same 828 00:46:36,760 --> 00:46:39,680 Speaker 6: company and the same people. It was very much there 829 00:46:39,800 --> 00:46:43,520 Speaker 6: was this totally kind of twin operation you could see 830 00:46:44,120 --> 00:46:48,440 Speaker 6: between Brexit and Trump and just it was the same people, 831 00:46:48,480 --> 00:46:50,640 Speaker 6: it was the same companies, it was the same data. 832 00:46:51,040 --> 00:46:55,240 Speaker 6: We had the same kinds of bad actors, the same 833 00:46:55,440 --> 00:46:59,160 Speaker 6: foreign interference, and so that sort of question of how 834 00:46:59,200 --> 00:47:05,000 Speaker 6: these tech plans platforms essentially facilitated a complete revolution in 835 00:47:05,040 --> 00:47:08,800 Speaker 6: the way that we do campaigning and politic completely opaque, 836 00:47:08,960 --> 00:47:13,840 Speaker 6: completely unaccountable and uh and have you know, caused a 837 00:47:13,920 --> 00:47:17,160 Speaker 6: convulsion in what we think of as democracy. And I 838 00:47:17,160 --> 00:47:22,040 Speaker 6: would argue doesn't really, you know, it's a very big 839 00:47:22,120 --> 00:47:24,840 Speaker 6: question about whether that still exists in that in this 840 00:47:24,920 --> 00:47:26,839 Speaker 6: online world. Was that did that work? 841 00:47:27,760 --> 00:47:30,160 Speaker 2: It did work? But it's pretty heavy. I mean it's 842 00:47:30,239 --> 00:47:32,000 Speaker 2: very it's quite heavy. 843 00:47:32,080 --> 00:47:34,160 Speaker 6: Yeah, it's quite heavy. I mean it it's this this, 844 00:47:34,360 --> 00:47:37,200 Speaker 6: I mean, it's it's amazing. Actually, weirdly, as I have 845 00:47:37,320 --> 00:47:41,520 Speaker 6: this thing of that, I actually weirdly feel more cheerful 846 00:47:41,719 --> 00:47:44,960 Speaker 6: right now than I did for really long periods of 847 00:47:45,000 --> 00:47:48,400 Speaker 6: this time. And it's because the threat is now visible, 848 00:47:49,000 --> 00:47:52,480 Speaker 6: right that the at least done us all a favor 849 00:47:53,000 --> 00:47:57,640 Speaker 6: in like oh okay, Silicon Valley, these tech companies, what 850 00:47:57,640 --> 00:48:02,360 Speaker 6: they're doing. What the aar like, the centralized power, the 851 00:48:03,280 --> 00:48:06,919 Speaker 6: totally unaccountable power. We now get it in a way. Yes, 852 00:48:07,320 --> 00:48:09,799 Speaker 6: we're sparing on the journey. I feel like we're now 853 00:48:09,920 --> 00:48:12,480 Speaker 6: starting on the journey of at least getting it. 854 00:48:12,560 --> 00:48:16,640 Speaker 2: So you had an incredible TED talk that where you 855 00:48:16,800 --> 00:48:22,040 Speaker 2: talked about techno authoritarianism, right, that's what it really is, 856 00:48:22,120 --> 00:48:25,520 Speaker 2: getting your data, using it to control you meet, you know, 857 00:48:25,680 --> 00:48:29,359 Speaker 2: sort of the worst of authoritarianism and the worst of 858 00:48:29,520 --> 00:48:34,080 Speaker 2: data mining coming together. You know, that's the Elon Musk 859 00:48:34,160 --> 00:48:38,319 Speaker 2: part and the Heritage Foundation part coming together to rule 860 00:48:38,360 --> 00:48:40,719 Speaker 2: the world. Talk us through kind of how you got 861 00:48:40,760 --> 00:48:41,719 Speaker 2: to this thesis. 862 00:48:42,000 --> 00:48:44,360 Speaker 6: I don't think it's a thesis. I think it is reality. 863 00:48:44,520 --> 00:48:48,200 Speaker 2: I mean, no, no, but it is reality. But it's yeah, yeah, yeah. 864 00:48:49,120 --> 00:48:52,120 Speaker 2: To sum it up, sort of, you know, to sum 865 00:48:52,120 --> 00:48:56,200 Speaker 2: it up is that we live in a surveillance society. 866 00:48:56,960 --> 00:49:01,759 Speaker 6: Right. Every single thing, our entire econ, the entire online 867 00:49:01,960 --> 00:49:07,560 Speaker 6: economy is predicated on knowing what we're up to online 868 00:49:07,960 --> 00:49:13,200 Speaker 6: and tracking that and monetizing that, and that underpins these 869 00:49:13,760 --> 00:49:17,839 Speaker 6: you know, trillion dollar tech companies. That's their model, that's 870 00:49:17,840 --> 00:49:20,960 Speaker 6: what they're based on. They're based on knowing who we are, 871 00:49:21,680 --> 00:49:25,160 Speaker 6: and they know who we are by gathering this data 872 00:49:25,200 --> 00:49:29,799 Speaker 6: about us, and you can everybody was sort of like 873 00:49:29,840 --> 00:49:32,719 Speaker 6: had different. Oh I don't care anyway, Like I don't 874 00:49:32,760 --> 00:49:35,000 Speaker 6: care about my privacy. It doesn't manter to me. Oh, 875 00:49:35,000 --> 00:49:37,600 Speaker 6: I've got nothing to hide like That was the sort 876 00:49:37,640 --> 00:49:42,800 Speaker 6: of mentality which built Silicon Valley, but now Silicon Valley 877 00:49:43,160 --> 00:49:46,800 Speaker 6: is it's you know, we've seen this merger take place 878 00:49:46,960 --> 00:49:52,040 Speaker 6: between Silicon Valley and the most powerful superpower in the world, 879 00:49:52,680 --> 00:49:56,360 Speaker 6: and those two things have now come together. And so 880 00:49:57,239 --> 00:50:02,600 Speaker 6: that power that all see being all knowing power coming 881 00:50:02,640 --> 00:50:07,719 Speaker 6: together with a superpower with nuclear weapons, which is reshaping 882 00:50:07,800 --> 00:50:14,440 Speaker 6: the world order. This is if you're not terrified, it 883 00:50:14,520 --> 00:50:17,240 Speaker 6: is because you are not paying attention. And I actually 884 00:50:17,239 --> 00:50:20,560 Speaker 6: I feel really bad saying that because I am based 885 00:50:20,680 --> 00:50:25,000 Speaker 6: here in London and I am one degree removed from 886 00:50:25,040 --> 00:50:28,760 Speaker 6: what is happening in America. But it's only one degree removed. 887 00:50:29,080 --> 00:50:31,719 Speaker 6: You don't have to apologize for things not being as 888 00:50:31,840 --> 00:50:34,880 Speaker 6: bad where you are than where we are. And I 889 00:50:34,920 --> 00:50:38,080 Speaker 6: think we talked when we were talking offline before you 890 00:50:38,080 --> 00:50:40,840 Speaker 6: were saying, you actually feel a little better. And I 891 00:50:41,000 --> 00:50:45,040 Speaker 6: actually feel a little better too because some of the 892 00:50:45,080 --> 00:50:48,279 Speaker 6: stuff we saw. And I had a similar experience with 893 00:50:48,440 --> 00:50:52,320 Speaker 6: Project Toy twenty five, which is I was like, holy shit, 894 00:50:52,520 --> 00:50:56,279 Speaker 6: this is going to gut the entire federal government, Like 895 00:50:56,480 --> 00:50:59,200 Speaker 6: if they enact this, it is going to be the 896 00:50:59,320 --> 00:51:02,160 Speaker 6: end of rural hospitals and we're all nursing homes and 897 00:51:02,239 --> 00:51:05,880 Speaker 6: this and that, and I was like, and the you know, 898 00:51:06,000 --> 00:51:09,480 Speaker 6: administrative state, I mean, the goal is to dismantle everything 899 00:51:09,520 --> 00:51:13,080 Speaker 6: you get from the federal government. And now that it's happening, 900 00:51:13,239 --> 00:51:15,800 Speaker 6: I'm like, oh, I'm not crazy, Like this was actually 901 00:51:15,800 --> 00:51:17,200 Speaker 6: what it was. And I feel like you have that 902 00:51:17,320 --> 00:51:21,960 Speaker 6: same thought. So I've been Britain's premier conspiracy theorist for 903 00:51:22,000 --> 00:51:24,760 Speaker 6: a decade. I mean I sort of hold that title. 904 00:51:24,840 --> 00:51:29,000 Speaker 6: I've been a cultural hate figure because I investigated Brexit, 905 00:51:29,480 --> 00:51:32,080 Speaker 6: which you know, it was an it was a totally 906 00:51:32,120 --> 00:51:37,080 Speaker 6: evidence based journalistic investigation. However, because it was into a 907 00:51:37,080 --> 00:51:42,400 Speaker 6: political matter with such divisiveness in Britain, I got tird 908 00:51:42,560 --> 00:51:46,600 Speaker 6: and smeared and feathered, trd and smothed and feathered. I 909 00:51:46,760 --> 00:51:49,839 Speaker 6: was like hung out to dry and multiply harassed and 910 00:51:49,920 --> 00:51:53,160 Speaker 6: all the rest of it. Because the way of undermining 911 00:51:53,200 --> 00:51:56,160 Speaker 6: my reporting was to undermine me, and the way of 912 00:51:56,239 --> 00:51:58,560 Speaker 6: undermining me was to go after me in this very personal, 913 00:51:58,600 --> 00:52:04,160 Speaker 6: misogynistic way. And yeah, the conspiracy theory of around this 914 00:52:04,239 --> 00:52:07,480 Speaker 6: stuffs has been you know, it's kind of interesting. I 915 00:52:07,480 --> 00:52:09,359 Speaker 6: actually haven't had that for a little while. I mean, 916 00:52:09,719 --> 00:52:11,759 Speaker 6: I'm sure it will come back to another footwear but 917 00:52:12,440 --> 00:52:15,040 Speaker 6: it turned out it turned out it wasn't a conspiracy theory, 918 00:52:15,200 --> 00:52:16,360 Speaker 6: it was a conspiracy. 919 00:52:16,920 --> 00:52:19,880 Speaker 2: Yeah. Well, and I mean I think that's like Brexit 920 00:52:20,000 --> 00:52:23,960 Speaker 2: is a great example because it's over and it's clearly 921 00:52:24,160 --> 00:52:27,800 Speaker 2: was a disaster. Right. They didn't want Polish plumbers coming 922 00:52:27,800 --> 00:52:31,319 Speaker 2: into the country, so they sanctioned themselves and it's been 923 00:52:31,520 --> 00:52:32,920 Speaker 2: a complete disaster, right. 924 00:52:32,960 --> 00:52:35,279 Speaker 6: I wish I could say that's the thing is is 925 00:52:35,320 --> 00:52:38,160 Speaker 6: that we haven't because of the sort of nobody has 926 00:52:38,200 --> 00:52:41,799 Speaker 6: any consensus of reality anymore, because of the way that 927 00:52:41,840 --> 00:52:45,640 Speaker 6: the tech platforms, the way that we consume information. So 928 00:52:45,719 --> 00:52:49,640 Speaker 6: there is no consensus of reality in Britain that Brexit 929 00:52:49,760 --> 00:52:54,200 Speaker 6: was a disaster to such to such a degree that 930 00:52:54,280 --> 00:52:59,160 Speaker 6: our left, supposedly left wing labor government can't even talk 931 00:52:59,200 --> 00:53:03,880 Speaker 6: about this. Right, that's still is of a boaten subject 932 00:53:03,920 --> 00:53:06,640 Speaker 6: which they just don't want to go near. Because also 933 00:53:06,920 --> 00:53:11,520 Speaker 6: in Britain, our media landscape is totally dominated by still 934 00:53:11,640 --> 00:53:15,160 Speaker 6: powerful less powerful than it was, but it's still powerful 935 00:53:15,719 --> 00:53:19,000 Speaker 6: right wing, corporate and sort of oligarchic media and they 936 00:53:19,440 --> 00:53:23,239 Speaker 6: you know, they've made the political agenda for years, for decades, 937 00:53:23,560 --> 00:53:25,440 Speaker 6: and they still have this sort of huge amount of 938 00:53:25,440 --> 00:53:30,719 Speaker 6: power that way, So yeah, so sadly, sadly, although by 939 00:53:30,760 --> 00:53:37,839 Speaker 6: every demonstrable, demonstrable and measurable index, yes, it has been 940 00:53:37,880 --> 00:53:41,000 Speaker 6: a disaster, but we still can't get people to own that. 941 00:53:41,000 --> 00:53:45,439 Speaker 2: That is so incredibly sharking way, But okay, I want 942 00:53:45,440 --> 00:53:47,960 Speaker 2: you to talk about the data and what it looks 943 00:53:48,040 --> 00:53:52,719 Speaker 2: like to you. So in twenty sixteen it was Facebook. 944 00:53:52,880 --> 00:53:56,680 Speaker 2: I think of Mark Zackerberg as like significantly more evil 945 00:53:57,000 --> 00:54:00,440 Speaker 2: than Elon Musk, despite the fact that Elon Musk reads 946 00:54:00,560 --> 00:54:03,759 Speaker 2: us more evil than Mark Zuckerberok, because Elon Musk and 947 00:54:03,800 --> 00:54:07,400 Speaker 2: again this is this idea, So Elon Musk is out 948 00:54:07,520 --> 00:54:09,960 Speaker 2: about what he's doing, so talk to us about that. 949 00:54:10,560 --> 00:54:12,880 Speaker 6: Why So I'm really curious, why do you think Zuckerbog's 950 00:54:12,920 --> 00:54:14,239 Speaker 6: more evil? Go and give me we. 951 00:54:14,239 --> 00:54:18,160 Speaker 2: All because he pretends to not be evil. Whereas Elon 952 00:54:18,360 --> 00:54:21,080 Speaker 2: is like full on, you know, we want you know, 953 00:54:21,400 --> 00:54:24,680 Speaker 2: for you know, it's like, why do these four people 954 00:54:24,960 --> 00:54:28,320 Speaker 2: get food when we could just be giving tax cuts 955 00:54:28,360 --> 00:54:32,920 Speaker 2: to huge corporations, Whereas I feel like Mark Zuckerberg is like, 956 00:54:33,480 --> 00:54:37,160 Speaker 2: we're here to connect everyone. We are here for connection, 957 00:54:37,440 --> 00:54:39,920 Speaker 2: and then it's like and the Rahingan genocide. 958 00:54:40,520 --> 00:54:41,640 Speaker 4: Yeah, yeah, ye know. 959 00:54:42,360 --> 00:54:44,880 Speaker 6: Also as well, it's got. The thing about Zuckerberg is 960 00:54:44,880 --> 00:54:49,400 Speaker 6: that there's a slight of hand with him in you know, 961 00:54:49,480 --> 00:54:52,600 Speaker 6: they keep renaming shits, so it's refused to call it meta. 962 00:54:52,640 --> 00:54:55,319 Speaker 6: I'm still calling it Facebook. They renamed it meta to 963 00:54:55,360 --> 00:54:58,239 Speaker 6: sort of like wipe the stink off all the Facebook scandals. 964 00:54:58,239 --> 00:55:01,080 Speaker 6: But I'm sorry that I'm not flying with And the 965 00:55:01,400 --> 00:55:05,880 Speaker 6: slides of hand is that Facebook is Facebook, it's Instagram, 966 00:55:05,960 --> 00:55:09,120 Speaker 6: it's WhatsApp, it's and those people always forget that. 967 00:55:09,160 --> 00:55:09,640 Speaker 2: You always have. 968 00:55:09,680 --> 00:55:11,600 Speaker 6: These youngsters saying, oh, I'm not on Facebook, I don't 969 00:55:11,600 --> 00:55:13,879 Speaker 6: having things to do meta, and it's like, yeah, do us. 970 00:55:14,320 --> 00:55:17,680 Speaker 6: Of course they use Instagram, so it's and then of course, 971 00:55:17,760 --> 00:55:20,160 Speaker 6: you know and like I am I have of boten 972 00:55:20,640 --> 00:55:23,399 Speaker 6: policy on you know too, And now i am I'm 973 00:55:23,440 --> 00:55:26,440 Speaker 6: on WhatsApp and actually I've just joined Instagram. He in 974 00:55:26,560 --> 00:55:31,040 Speaker 6: terms of the world's population and use of product his products, yeah, 975 00:55:31,080 --> 00:55:35,279 Speaker 6: he does win. And that's there is actually global domination there. 976 00:55:35,680 --> 00:55:37,880 Speaker 6: And you know, there is a really interesting case happening 977 00:55:37,880 --> 00:55:40,280 Speaker 6: at the moment, which is they are looking to break 978 00:55:40,360 --> 00:55:41,680 Speaker 6: up anti trust. 979 00:55:41,800 --> 00:55:43,120 Speaker 2: Yeah, the anti trust thing. 980 00:55:43,120 --> 00:55:45,680 Speaker 6: And of course it's not a coincidence that he's cozying 981 00:55:45,800 --> 00:55:49,560 Speaker 6: up to Trump, right, I mean, it's he's got a 982 00:55:49,560 --> 00:55:51,719 Speaker 6: lot to lose. He's got a lot to lose. I 983 00:55:51,719 --> 00:55:54,840 Speaker 6: think the difference is is that back in twenty sixteen, 984 00:55:54,920 --> 00:55:57,000 Speaker 6: the reason why that was such a moment and why 985 00:55:57,040 --> 00:56:01,000 Speaker 6: he was so culpable is because it was Facebook, which 986 00:56:01,080 --> 00:56:05,160 Speaker 6: was where politics, where campaigning was being conducted. That we 987 00:56:05,239 --> 00:56:08,719 Speaker 6: had much more centralized sort of social media landscape at 988 00:56:08,760 --> 00:56:11,920 Speaker 6: that time. Now it's much more scattered. There's so many 989 00:56:11,920 --> 00:56:15,520 Speaker 6: other it's you know, there's there's the guy, yeah, the 990 00:56:15,560 --> 00:56:17,560 Speaker 6: TikTok of it in the YouTube and all the rest 991 00:56:17,600 --> 00:56:19,359 Speaker 6: of it. Like that's where a lot of the sort 992 00:56:19,400 --> 00:56:23,000 Speaker 6: of money is being spent. Now, what's interesting about this Cambridgealytics. 993 00:56:23,120 --> 00:56:25,400 Speaker 6: It's a good thing in a way. It's a model. 994 00:56:25,400 --> 00:56:30,000 Speaker 6: It's a parable for what Musk has been doing inside 995 00:56:30,040 --> 00:56:33,759 Speaker 6: the government, which is that you know, Cambra Reganalystic. It 996 00:56:33,800 --> 00:56:38,160 Speaker 6: was hoovering up this Facebook data to then to then 997 00:56:38,360 --> 00:56:42,399 Speaker 6: build algorithms to to really understand who these people were 998 00:56:42,480 --> 00:56:47,279 Speaker 6: to then target them politically. So why is Musk hoovering 999 00:56:47,360 --> 00:56:52,120 Speaker 6: up all of this data from inside government? What's he doing? 1000 00:56:52,160 --> 00:56:52,319 Speaker 4: It? 1001 00:56:52,400 --> 00:56:56,120 Speaker 6: The most valuable resource in the world for you know, 1002 00:56:56,200 --> 00:56:59,319 Speaker 6: the competition the game now is all AI. You want 1003 00:56:59,320 --> 00:57:02,120 Speaker 6: to build the best AI, you know, that's where the 1004 00:57:02,200 --> 00:57:04,640 Speaker 6: race is on. And to build the best AI, you 1005 00:57:04,719 --> 00:57:07,520 Speaker 6: need the best sources of data. And here he you know, 1006 00:57:07,600 --> 00:57:11,239 Speaker 6: has been inside the US government with absolutely kidd in 1007 00:57:11,239 --> 00:57:16,560 Speaker 6: a candy shop with you know, the entire population's highly 1008 00:57:16,680 --> 00:57:22,040 Speaker 6: highly sensitive different pieces of data, including financial and social 1009 00:57:22,040 --> 00:57:24,440 Speaker 6: security and all the rest of it. That's the thing 1010 00:57:24,520 --> 00:57:28,440 Speaker 6: I find the most terrifying in the sense like you 1011 00:57:28,960 --> 00:57:31,160 Speaker 6: capture that, you capture the future in a way. 1012 00:57:31,400 --> 00:57:34,960 Speaker 2: On Twitter already we're seeing like fake tweet by fake people. 1013 00:57:35,440 --> 00:57:37,919 Speaker 2: So what's the But just explain to me the goal here. 1014 00:57:38,520 --> 00:57:43,360 Speaker 2: Fake people create fake tweets that real people read and 1015 00:57:43,560 --> 00:57:46,560 Speaker 2: think that more people believe something than really do. 1016 00:57:46,920 --> 00:57:49,919 Speaker 6: I mean, just explain to me. It's basically it's because 1017 00:57:49,960 --> 00:57:52,240 Speaker 6: it's a very complex landscape. And it was really funny. 1018 00:57:52,280 --> 00:57:56,160 Speaker 6: There was this quite senior political journalist during the Brexit years. 1019 00:57:56,160 --> 00:57:59,520 Speaker 6: He was just he went was on some political program 1020 00:58:00,040 --> 00:58:03,600 Speaker 6: and he said, a Russian bot didn't tell my granny 1021 00:58:03,680 --> 00:58:06,360 Speaker 6: to vote for Brexits, and that was his why this 1022 00:58:06,480 --> 00:58:08,520 Speaker 6: is all a load of rubbish and it just like 1023 00:58:08,640 --> 00:58:11,479 Speaker 6: it the way that the different ways that there's sort 1024 00:58:11,480 --> 00:58:15,440 Speaker 6: of these mechanized forms work and now so much more 1025 00:58:15,440 --> 00:58:17,960 Speaker 6: sophisticated because of AI. Is a lot of what they're 1026 00:58:18,000 --> 00:58:21,760 Speaker 6: doing is manipulating reality. So the cast on Twitter would 1027 00:58:21,800 --> 00:58:26,480 Speaker 6: be those nameless people and things they would like, you know, 1028 00:58:26,560 --> 00:58:31,000 Speaker 6: they'd glom onto different hashtags. You get the hashtags to 1029 00:58:31,040 --> 00:58:34,480 Speaker 6: trend and then and then real people look to see 1030 00:58:34,520 --> 00:58:37,520 Speaker 6: what's happening. It's ways, you know, there's lots of different 1031 00:58:37,560 --> 00:58:43,960 Speaker 6: ways of manipulating people's sentiments and we don't realize it's invisible, 1032 00:58:44,040 --> 00:58:47,040 Speaker 6: but they do really impact things like the news agenda. 1033 00:58:47,680 --> 00:58:50,400 Speaker 2: So here's a question for you, because I definitely have 1034 00:58:50,600 --> 00:58:53,680 Speaker 2: you know, I come from internet circa nay, I come 1035 00:58:53,680 --> 00:58:58,400 Speaker 2: from the nineties, right, and and what has happened with 1036 00:58:58,480 --> 00:59:01,720 Speaker 2: me is I've just stopped trusting doing things I see online. 1037 00:59:01,840 --> 00:59:03,880 Speaker 2: So if I see a picture of Donald Trump as 1038 00:59:03,880 --> 00:59:06,760 Speaker 2: the pulp, I don't assume Donald Trump is the new 1039 00:59:06,760 --> 00:59:10,320 Speaker 2: pulp because I know that there's and you know, AI 1040 00:59:10,480 --> 00:59:12,840 Speaker 2: looks a little different. You can tell what it is. 1041 00:59:13,200 --> 00:59:17,440 Speaker 2: But is that isn't that what everyone is just going 1042 00:59:17,520 --> 00:59:21,400 Speaker 2: to not trust anything because there's no fact checking. 1043 00:59:22,640 --> 00:59:25,640 Speaker 6: Yeah, that's and that's what we're seeing happening. I mean, 1044 00:59:26,080 --> 00:59:30,800 Speaker 6: that's where and this loss of trust which goes along 1045 00:59:30,840 --> 00:59:32,720 Speaker 6: with that is a loss of trust in everything, isn't 1046 00:59:32,760 --> 00:59:36,080 Speaker 6: It's a loss of trust in institutions, It's a lot 1047 00:59:36,160 --> 00:59:39,600 Speaker 6: of trust in news organizations with it, It's a lot 1048 00:59:39,720 --> 00:59:43,280 Speaker 6: of trust in you know, government bodies. This is across 1049 00:59:43,360 --> 00:59:48,600 Speaker 6: the board. And you know that's that in itself is terrifying, 1050 00:59:48,640 --> 00:59:51,000 Speaker 6: isn't it? And you know, this is where I sort 1051 00:59:51,000 --> 00:59:55,040 Speaker 6: of say, it's that we these terms which we started 1052 00:59:55,120 --> 01:00:00,600 Speaker 6: learning in twenty and sixteen, misinformation and disinformation, like that's 1053 01:00:00,800 --> 01:00:04,440 Speaker 6: gone like forget that now like this is you know, 1054 01:00:04,480 --> 01:00:07,480 Speaker 6: I sort of talk about sort of total information collapse 1055 01:00:08,080 --> 01:00:13,920 Speaker 6: like this now we are in total information chaos and 1056 01:00:14,120 --> 01:00:16,720 Speaker 6: that's you know, it's it's it's it's why it's so 1057 01:00:17,200 --> 01:00:20,040 Speaker 6: hard for any of us to like process and navigate 1058 01:00:20,120 --> 01:00:23,280 Speaker 6: what on earth is going on, because we just face 1059 01:00:23,480 --> 01:00:28,720 Speaker 6: this chaotic cacophony of voices and noise and you know, 1060 01:00:28,920 --> 01:00:36,120 Speaker 6: funny memes and cat video and but you know, weirdly, Molly, 1061 01:00:36,240 --> 01:00:39,120 Speaker 6: I actually do feel like there is something here which 1062 01:00:39,400 --> 01:00:43,360 Speaker 6: gives me. It's bizarre, how like more optimistic I am 1063 01:00:43,400 --> 01:00:47,040 Speaker 6: at the moment than I will meet because now that 1064 01:00:47,120 --> 01:00:49,320 Speaker 6: we can see the problem, and now we can see 1065 01:00:49,320 --> 01:00:53,760 Speaker 6: the crisis, we can actually now start thinking about solutions. 1066 01:00:54,120 --> 01:00:55,960 Speaker 6: That's the thing. And so it is this like out 1067 01:00:56,000 --> 01:00:59,480 Speaker 6: of crisis comes opportunities. So for me, and it's kind 1068 01:00:59,520 --> 01:01:02,240 Speaker 6: of what I've a particular skin in this game. But 1069 01:01:02,320 --> 01:01:06,560 Speaker 6: for me, what's now so important is that we have 1070 01:01:06,640 --> 01:01:10,960 Speaker 6: to build proper independent media that people trust. Right, And 1071 01:01:11,800 --> 01:01:14,600 Speaker 6: we've seen the way that these big corporates, you know 1072 01:01:14,800 --> 01:01:17,960 Speaker 6: in America bowing down to Trump. They you know, they 1073 01:01:18,000 --> 01:01:20,640 Speaker 6: can't stand up things They've got, you know, their theme 1074 01:01:20,720 --> 01:01:21,880 Speaker 6: park to worry about. 1075 01:01:21,720 --> 01:01:26,120 Speaker 7: Right, and their space stuffing Molly is to you, aren't 1076 01:01:26,120 --> 01:01:28,600 Speaker 7: they like this is the kind of this is where 1077 01:01:28,800 --> 01:01:32,400 Speaker 7: the you know, actually you've got to be out there, 1078 01:01:33,080 --> 01:01:35,720 Speaker 7: like being popular than Joe Rogan Molly. 1079 01:01:35,800 --> 01:01:36,919 Speaker 6: That is now your job. 1080 01:01:38,800 --> 01:01:40,920 Speaker 2: I have to tell you. The funniest part though, just 1081 01:01:41,280 --> 01:01:45,520 Speaker 2: on this information idea is I started putting on Instagram 1082 01:01:45,600 --> 01:01:48,840 Speaker 2: like tweets that I thought were important for people because 1083 01:01:48,840 --> 01:01:50,360 Speaker 2: I knew that there were a lot of people who 1084 01:01:50,360 --> 01:01:53,080 Speaker 2: couldn't stay on Twitter anymore and that there were things 1085 01:01:53,080 --> 01:01:55,320 Speaker 2: that were relevant and important that they might never see. 1086 01:01:55,360 --> 01:01:58,000 Speaker 2: I mean, this is the fundamental problem. So I started 1087 01:01:58,000 --> 01:02:00,840 Speaker 2: putting them on Instagram. And I was at White House 1088 01:02:00,840 --> 01:02:04,560 Speaker 2: Correspondence weekend like two weeks ago, and a number of 1089 01:02:04,680 --> 01:02:10,040 Speaker 2: like real television people like anchors and you know whatever 1090 01:02:10,160 --> 01:02:17,160 Speaker 2: intellect We're like, I find your Instagram very useful. But 1091 01:02:17,280 --> 01:02:19,800 Speaker 2: that's because like the problem is, we don't have a 1092 01:02:19,840 --> 01:02:24,160 Speaker 2: great aggregation entering anymore. Yes, so it is like we 1093 01:02:24,240 --> 01:02:26,920 Speaker 2: are like it's and unless you spend twelve hours a 1094 01:02:27,000 --> 01:02:30,680 Speaker 2: day online, which luckily I do, you don't have like 1095 01:02:30,720 --> 01:02:35,000 Speaker 2: a pastisee yeah, of everything that is happening. So you 1096 01:02:35,120 --> 01:02:38,760 Speaker 2: miss like, you know, you miss Elon Musk melting down 1097 01:02:38,920 --> 01:02:44,600 Speaker 2: about his you know, possible child with the possible influencer, 1098 01:02:44,640 --> 01:02:46,400 Speaker 2: you know what I mean. You miss all of that, 1099 01:02:46,960 --> 01:02:49,080 Speaker 2: and then you'll see something else and it won't make 1100 01:02:49,160 --> 01:02:51,320 Speaker 2: sense because you won't have the entire story. 1101 01:02:52,160 --> 01:02:55,080 Speaker 6: Yeah, that's so funny because my first Instagram post was 1102 01:02:55,120 --> 01:02:58,920 Speaker 6: like a screenshot of my tweet. Okay, Yeah, it was 1103 01:02:59,000 --> 01:03:00,840 Speaker 6: very funny because a friend saw it and she was like, 1104 01:03:01,040 --> 01:03:02,960 Speaker 6: she was like no, she was like, no, you need 1105 01:03:03,000 --> 01:03:05,480 Speaker 6: to be like you need to be showing your eyebrows 1106 01:03:05,560 --> 01:03:08,400 Speaker 6: and like doing a selfie with like and I was like. 1107 01:03:08,440 --> 01:03:18,440 Speaker 2: No, anyway, is culture is downstream of politics. Politics culture discussed. 1108 01:03:18,760 --> 01:03:20,840 Speaker 6: So this was yeah. So I used this line in 1109 01:03:20,880 --> 01:03:25,160 Speaker 6: my Ted talk, which is Steve, I say, Steve Bannon's. 1110 01:03:24,880 --> 01:03:27,600 Speaker 2: Bannon, but it's really from bray Bar. It's from me. 1111 01:03:28,120 --> 01:03:32,480 Speaker 6: It's I think this thing which is that most people 1112 01:03:32,680 --> 01:03:37,360 Speaker 6: honestly don't care about politics, and but yet you know 1113 01:03:37,440 --> 01:03:40,440 Speaker 6: they're not watching the political news, they're not watching the 1114 01:03:40,480 --> 01:03:44,480 Speaker 6: political pundits. This isn't where the important stuff is being discussed, 1115 01:03:44,960 --> 01:03:48,560 Speaker 6: but where the thing which ahead of the you know, 1116 01:03:48,640 --> 01:03:53,200 Speaker 6: the election, the us that it's the podcast bros, like 1117 01:03:53,280 --> 01:03:57,160 Speaker 6: it's the YouTube bros. And at the moment those bros 1118 01:03:57,360 --> 01:04:02,120 Speaker 6: who are on browie platforms with algorithms built by bros 1119 01:04:02,640 --> 01:04:08,600 Speaker 6: to which prioritizes bro content, that is where the sort 1120 01:04:08,600 --> 01:04:12,840 Speaker 6: of conversation is. That's where the dial is shifting, and 1121 01:04:12,920 --> 01:04:16,160 Speaker 6: that is culture, and that for me is the sort 1122 01:04:16,160 --> 01:04:18,320 Speaker 6: of key thing about it. To go back to the 1123 01:04:18,520 --> 01:04:23,160 Speaker 6: tech of it, right, which is the YouTube algorithm, kind 1124 01:04:23,160 --> 01:04:25,800 Speaker 6: of terrifies me in that way. YouTube is the round 1125 01:04:25,920 --> 01:04:28,760 Speaker 6: zero of the manosphere, and misogyny is wrapped up in 1126 01:04:28,880 --> 01:04:31,920 Speaker 6: everything that we're seeing now. But I feel that like 1127 01:04:32,000 --> 01:04:35,000 Speaker 6: in order to reclaim that space, we need people like 1128 01:04:35,160 --> 01:04:40,000 Speaker 6: you out talking to and for as many people listening 1129 01:04:40,000 --> 01:04:43,080 Speaker 6: to you as possible. And yeah, we have to in 1130 01:04:43,200 --> 01:04:46,160 Speaker 6: order to reclaim the politics, we need to kind of 1131 01:04:46,200 --> 01:04:49,000 Speaker 6: first regain the culture. And part of the way that 1132 01:04:49,040 --> 01:04:51,760 Speaker 6: we have to reclaim the culture, the long view is 1133 01:04:52,120 --> 01:04:55,240 Speaker 6: we need to build better platforms which are not owned 1134 01:04:55,400 --> 01:04:59,440 Speaker 6: by these terrible Silicon Valley tech companies. That's a long yep. 1135 01:05:01,120 --> 01:05:04,080 Speaker 2: I'm so excited, thank you, thank you, thank you. This 1136 01:05:04,280 --> 01:05:08,040 Speaker 2: was amazing. I really appreciate you just exactly what I 1137 01:05:08,040 --> 01:05:10,880 Speaker 2: want to talk about. So thank you, thank you for having. 1138 01:05:10,600 --> 01:05:13,880 Speaker 6: Me on and I really forward to seeing you in 1139 01:05:13,920 --> 01:05:15,360 Speaker 6: London and talking about your. 1140 01:05:15,240 --> 01:05:23,160 Speaker 2: Book now perfectly, Jesse Cannon. 1141 01:05:23,400 --> 01:05:27,160 Speaker 3: PI judged fast. Who would have thought that the Supreme 1142 01:05:27,240 --> 01:05:30,760 Speaker 3: Court repealing the Voting Rights Act back in the day 1143 01:05:31,480 --> 01:05:34,360 Speaker 3: would not go so well and things would be bad. 1144 01:05:34,920 --> 01:05:37,160 Speaker 2: I would not have thought that. I actually would have 1145 01:05:37,160 --> 01:05:40,280 Speaker 2: thought that. I am not surprised if Federal court ruled 1146 01:05:40,320 --> 01:05:45,480 Speaker 2: Thursday that Alabama engaged in intentional discrimination when it refused 1147 01:05:45,480 --> 01:05:48,880 Speaker 2: to draw a congressional plan with a second black majority district. 1148 01:05:49,360 --> 01:05:53,680 Speaker 2: After courts, including the Supreme Court, repeatedly rejected maps with 1149 01:05:53,760 --> 01:05:56,440 Speaker 2: one such district when the finding the courts that it 1150 01:05:56,440 --> 01:05:59,600 Speaker 2: would consider whether to put by the way Alabama is 1151 01:06:00,320 --> 01:06:03,640 Speaker 2: this is they are fuck it. I mean, let's just 1152 01:06:03,800 --> 01:06:09,760 Speaker 2: look at the Alabama senators for a minute. Okay, Tommy Tuberville, Right, 1153 01:06:09,880 --> 01:06:14,000 Speaker 2: that guy he didn't even live in Alabama, Right, he 1154 01:06:14,120 --> 01:06:18,640 Speaker 2: lives somewhere else. Tommy Tubervel, Katie britt Right, Alabama is 1155 01:06:18,680 --> 01:06:22,360 Speaker 2: a super diverse state. These Republicans are just trying to 1156 01:06:22,400 --> 01:06:26,600 Speaker 2: hold onto power here. Of course, they're jerrymandering, they're trying 1157 01:06:26,600 --> 01:06:29,760 Speaker 2: to hold onto power. They're doing all of the tricks 1158 01:06:29,800 --> 01:06:33,320 Speaker 2: that we know so well, and it's just, you know, 1159 01:06:33,400 --> 01:06:37,240 Speaker 2: there we go. So the Voting Rights Act opened, you know, 1160 01:06:37,600 --> 01:06:40,360 Speaker 2: this is Roberts. Roberts is how we got here, right, 1161 01:06:40,440 --> 01:06:43,280 Speaker 2: cutting away at the Voting Rights Act, this is how 1162 01:06:43,280 --> 01:06:47,720 Speaker 2: we got here. So if Democrats win back the political zeitgeist, 1163 01:06:47,760 --> 01:06:52,080 Speaker 2: we're going to need desperately to enact anti corruption laws. 1164 01:06:52,120 --> 01:06:56,440 Speaker 2: We're going to need desperately to end partisan jerrymandering. It 1165 01:06:56,640 --> 01:06:59,880 Speaker 2: is the moment for them. That's it for this episode 1166 01:07:00,240 --> 01:07:07,000 Speaker 2: Fast Politics. Tune in every Monday, Wednesday, Thursday and Saturday 1167 01:07:07,160 --> 01:07:10,480 Speaker 2: to hear the best minds and politics make sense of 1168 01:07:10,800 --> 01:07:15,040 Speaker 2: all this chaos. If you enjoy this podcast, please send 1169 01:07:15,040 --> 01:07:18,720 Speaker 2: it to a friend and keep the conversation going. Thanks 1170 01:07:18,760 --> 01:07:19,440 Speaker 2: for listening.