1 00:00:00,689 --> 00:00:05,040 Speaker 1: Hello, and welcome to Fast Politics. I'm Molly Chongfast. We 2 00:00:05,080 --> 00:00:08,060 Speaker 1: have a great show for you today. Later in the show, 3 00:00:08,140 --> 00:00:12,140 Speaker 1: I'll talk to Alex Gibney about his new documentary, Musk, 4 00:00:12,600 --> 00:00:15,130 Speaker 1: and why big tech doesn't want you to see it. 5 00:00:15,590 --> 00:00:20,090 Speaker 1: But first, we have platypus economics, Justin Wolfers, to talk 6 00:00:20,130 --> 00:00:24,390 Speaker 1: about why Trump is overstepping in elections and why that 7 00:00:24,950 --> 00:00:28,970 Speaker 1: may ruin the economy. Welcome, welcome, Justin Wolfers. 8 00:00:29,310 --> 00:00:30,430 Speaker 2: Hey, Molly. 9 00:00:30,830 --> 00:00:31,170 Speaker 3: G'day. 10 00:00:31,550 --> 00:00:38,250 Speaker 1: Economy is both good and bad. Working and not working. 11 00:00:38,890 --> 00:00:43,229 Speaker 1: Explain to us the state of our economy is precarious? 12 00:00:43,550 --> 00:00:45,130 Speaker 4: It's such a hard conversation, Molly. 13 00:00:46,650 --> 00:00:50,190 Speaker 5: Normally, when journalists ask me about the state of the economy, 14 00:00:50,250 --> 00:00:55,290 Speaker 5: they're saying, you know, GDP's up, unemployment's flat. Inflation's a 15 00:00:55,310 --> 00:00:59,010 Speaker 5: bit high and they're talking about the today. I think 16 00:00:59,130 --> 00:01:01,730 Speaker 5: that's the wrong way to think about the Trump economy. 17 00:01:04,970 --> 00:01:08,840 Speaker 3: The things that worry me most, that keep me up 18 00:01:08,920 --> 00:01:12,900 Speaker 3: at night, are things that are going to grow like 19 00:01:13,260 --> 00:01:18,399 Speaker 3: a slow burning cancer, destroying a beautiful living organism. 20 00:01:19,690 --> 00:01:21,330 Speaker 4: What is America's position in the world? 21 00:01:22,450 --> 00:01:26,920 Speaker 5: Are we a trusted partner? Do we believe in the 22 00:01:26,959 --> 00:01:32,209 Speaker 5: rule of law anymore? Are contracts enforced and enforceable? Do 23 00:01:32,270 --> 00:01:36,950 Speaker 5: we want businesses competing in markets, each trying to produce 24 00:01:36,990 --> 00:01:39,309 Speaker 5: a better product at a lower price, or are we 25 00:01:39,370 --> 00:01:44,620 Speaker 5: moving towards businesses competing at Mar-a-Lago, each competing for favors 26 00:01:44,780 --> 00:01:49,000 Speaker 5: from the White House? What is our fiscal position and 27 00:01:49,120 --> 00:01:52,190 Speaker 5: what are the longer run implications of that? I even 28 00:01:52,250 --> 00:01:55,150 Speaker 5: have moments, and I don't want to be melodramatic, but 29 00:01:56,730 --> 00:01:59,350 Speaker 5: I've heard lots of friends of mine, serious friends, say 30 00:02:00,610 --> 00:02:04,090 Speaker 5: they're deeply worried about potential interference with the next election. 31 00:02:05,230 --> 00:02:08,090 Speaker 5: The day we become not a democracy is the day 32 00:02:08,130 --> 00:02:10,570 Speaker 5: we lose the power to kick out bad politicians. 33 00:02:11,410 --> 00:02:11,590 Speaker 1: Yeah. 34 00:02:12,050 --> 00:02:13,169 Speaker 4: And the day that bad. 35 00:02:12,990 --> 00:02:18,790 Speaker 5: Politicians can cement their power, that's an enormously important economic question. 36 00:02:19,930 --> 00:02:23,299 Speaker 5: I worry about the competence of the folks running our institutions. 37 00:02:23,960 --> 00:02:28,339 Speaker 5: I see signs of things frame. I don't know how quickly, 38 00:02:28,440 --> 00:02:31,060 Speaker 5: how dramatically, and I can't quite figure out the scale. 39 00:02:31,220 --> 00:02:35,340 Speaker 5: Am I a bedwetting liberal who screams about everything, or 40 00:02:35,440 --> 00:02:42,290 Speaker 5: is this a once-in-a-lifetime attack? I'm increasingly thinking the latter, 41 00:02:43,430 --> 00:02:46,149 Speaker 5: but I always want to be checking myself and making 42 00:02:46,210 --> 00:02:47,310 Speaker 5: sure I'm thinking about it right. 43 00:02:48,169 --> 00:02:48,290 Speaker 4: So. 44 00:02:49,470 --> 00:02:53,070 Speaker 1: One of the things that in that answer that I 45 00:02:53,150 --> 00:02:56,900 Speaker 1: see as something to sort of pull out is the dollar, 46 00:02:57,160 --> 00:03:00,359 Speaker 1: the value of the dollar when it comes to debt, 47 00:03:00,700 --> 00:03:04,839 Speaker 1: when it comes to being the reserve currency. And the 48 00:03:04,940 --> 00:03:12,410 Speaker 1: Fed unanimously decided to raise rates, including Trump's guy, handsome Kevin, 49 00:03:12,590 --> 00:03:18,070 Speaker 1: Kevin Warsh, put in there- to lower rates by Donald Trump, right? 50 00:03:18,090 --> 00:03:20,010 Speaker 1: Donald Trump thought this is our guy. He's going to 51 00:03:20,050 --> 00:03:22,589 Speaker 1: lower rates. Lowering rates are going to drive up the 52 00:03:22,630 --> 00:03:27,220 Speaker 1: stock market, which is in Donald Trump's plan, really. In 53 00:03:27,240 --> 00:03:29,900 Speaker 1: Donald Trump's mind, the stock market is the economy. So 54 00:03:30,480 --> 00:03:35,020 Speaker 1: that was what he wanted. Instead, Kevin Walsh voted and 55 00:03:35,180 --> 00:03:39,240 Speaker 1: they all unanimously voted to raise rates. So clearly they 56 00:03:39,300 --> 00:03:43,619 Speaker 1: saw something that is important here that maybe we don't. 57 00:03:44,000 --> 00:03:45,380 Speaker 1: So explain to us what they saw. 58 00:03:46,310 --> 00:03:46,450 Speaker 2: Right. 59 00:03:46,870 --> 00:03:49,840 Speaker 5: So after a normal Fed decision, what would happen is 60 00:03:49,920 --> 00:03:53,700 Speaker 5: nerds like me would meet over coffee or beer and 61 00:03:53,740 --> 00:03:55,020 Speaker 5: we'd be like, I think it should be a quarter 62 00:03:55,040 --> 00:03:55,540 Speaker 5: point higher. 63 00:03:55,560 --> 00:03:57,240 Speaker 4: I think it should be a quarter point lower. And 64 00:03:57,300 --> 00:03:57,720 Speaker 4: we can. 65 00:03:57,640 --> 00:04:00,520 Speaker 5: Obsess about fractions of a percentage point of an interest rate. 66 00:04:01,300 --> 00:04:03,470 Speaker 5: We should, by the way, because it affects hundreds of 67 00:04:03,530 --> 00:04:07,050 Speaker 5: millions of people. But that's not the right conversation to 68 00:04:07,070 --> 00:04:09,330 Speaker 5: be having right now. And that's the point I think 69 00:04:09,370 --> 00:04:12,500 Speaker 5: you were just somewhat implicitly making. which is there's a 70 00:04:12,540 --> 00:04:15,620 Speaker 5: deeper question, which is, is the institution holding? Is it 71 00:04:15,680 --> 00:04:18,180 Speaker 5: serving the American people's interest or is it serving the 72 00:04:18,220 --> 00:04:23,560 Speaker 5: president's narrow political interest and hewing to his idiosyncrasies? And 73 00:04:23,640 --> 00:04:26,720 Speaker 5: what we saw, you know, so I could debate whether 74 00:04:26,740 --> 00:04:29,420 Speaker 5: rates should go up a quarter point or not, but 75 00:04:29,800 --> 00:04:34,160 Speaker 5: what's probably more important is we saw unanimity, which includes 76 00:04:34,279 --> 00:04:42,419 Speaker 5: Federal Reserve governors and presidents appointed by Obama, Biden, and Trump, 77 00:04:43,279 --> 00:04:47,490 Speaker 5: and actually several appointed by Trump. And they all uniformly said, 78 00:04:47,690 --> 00:04:49,730 Speaker 5: our view is if you look at the data, it 79 00:04:49,810 --> 00:04:53,150 Speaker 5: suggests that we should be raising rates. The most important 80 00:04:53,190 --> 00:04:55,369 Speaker 5: part of that sentence is we looked at the data. 81 00:04:57,710 --> 00:05:02,270 Speaker 5: So that's the institution holding. Um, that's why I breathe 82 00:05:02,310 --> 00:05:05,010 Speaker 5: a little easier last week. We're not all the way 83 00:05:05,050 --> 00:05:08,770 Speaker 5: there yet. Um, Remember, there's another Fed decision and it's 84 00:05:08,810 --> 00:05:11,950 Speaker 5: coming October 28th, just a few days before the midterm elections. 85 00:05:12,870 --> 00:05:17,060 Speaker 5: By one view, the case for raising rates remains fairly strong. 86 00:05:17,500 --> 00:05:22,220 Speaker 5: Inflation's too high. Unemployment is relatively low and stable. They've 87 00:05:22,260 --> 00:05:26,820 Speaker 5: just taken the first step on this path that handsome Kevin, 88 00:05:26,839 --> 00:05:28,500 Speaker 5: in fact, has said, I haven't put my foot on 89 00:05:28,520 --> 00:05:30,620 Speaker 5: the brake yet. I'm just taking my foot off the accelerator. 90 00:05:30,640 --> 00:05:32,100 Speaker 5: And it's certainly a good time to take your foot 91 00:05:32,120 --> 00:05:35,650 Speaker 5: off the accelerator. So by one view, we really should 92 00:05:35,690 --> 00:05:39,570 Speaker 5: be looking at a second rate hike in October. By 93 00:05:39,650 --> 00:05:45,180 Speaker 5: another view, the last few data reports have suggested inflation's 94 00:05:45,240 --> 00:05:48,860 Speaker 5: not quite as bad as we feared. Unemployment is looking 95 00:05:48,900 --> 00:05:52,719 Speaker 5: pretty good. And wouldn't it be good to just escape 96 00:05:52,760 --> 00:05:56,480 Speaker 5: the president's ire until just after the election? Let's put 97 00:05:56,600 --> 00:05:59,600 Speaker 5: back the interest rate hike from October to December. And 98 00:06:01,850 --> 00:06:04,130 Speaker 5: The economic data, in fact, have cooperated with the view 99 00:06:04,170 --> 00:06:07,710 Speaker 5: we shouldn't raise rates anytime soon. They've been very, very cooperative. 100 00:06:08,500 --> 00:06:11,700 Speaker 5: One worries, though, the best way to be apolitical is 101 00:06:11,720 --> 00:06:15,680 Speaker 5: to be apolitical. Right. Which is different than I don't 102 00:06:15,720 --> 00:06:17,620 Speaker 5: want to upset the guy in the White House. That's 103 00:06:17,660 --> 00:06:20,900 Speaker 5: not being apolitical. That's serving the White House's goals. 104 00:06:21,560 --> 00:06:22,440 Speaker 6: Right. 105 00:06:23,140 --> 00:06:26,640 Speaker 5: So there's– I think we already know what's going to happen. 106 00:06:27,940 --> 00:06:31,660 Speaker 5: Nick Timoreos at the Wall Street Journal sort of famously– 107 00:06:31,920 --> 00:06:35,500 Speaker 5: remarkably well sourced. Basically, when the Fed doesn't want to 108 00:06:35,540 --> 00:06:38,140 Speaker 5: upset markets, historically, what they do is they'd call Nick 109 00:06:38,779 --> 00:06:40,700 Speaker 5: and they'd say, could you write the following article so 110 00:06:40,730 --> 00:06:43,730 Speaker 5: that no one is surprised? He wrote an article last 111 00:06:43,830 --> 00:06:46,089 Speaker 5: week that said, the Fed is not going to tell 112 00:06:46,110 --> 00:06:47,770 Speaker 5: you what it's going to do next, but I do 113 00:06:47,810 --> 00:06:51,190 Speaker 5: know what the two vice chairs think, have been saying. 114 00:06:52,370 --> 00:06:54,980 Speaker 5: I want you to pay attention. They're probably going to 115 00:06:55,920 --> 00:06:58,240 Speaker 5: wait till after the election. So one of three things 116 00:06:58,260 --> 00:07:00,890 Speaker 5: has happened. Either the Fed has called Nick and said, basically, 117 00:07:00,910 --> 00:07:02,750 Speaker 5: get everyone in line so that they understand we're not 118 00:07:02,770 --> 00:07:04,570 Speaker 5: going to do anything before the election. I don't want 119 00:07:04,610 --> 00:07:08,550 Speaker 5: this to feel like a big surprise. Or second, we're 120 00:07:08,670 --> 00:07:11,990 Speaker 5: in a new regime and handsome Kevin doesn't talk to Nick, 121 00:07:12,990 --> 00:07:15,470 Speaker 5: in which case there's no signal in Nick writing a story. 122 00:07:15,790 --> 00:07:16,670 Speaker 4: We should all ignore it. 123 00:07:17,150 --> 00:07:20,270 Speaker 5: Or third, maybe he's just doing independent journalism, but it's 124 00:07:20,370 --> 00:07:24,120 Speaker 5: written in such a way that one certainly thinks, reads 125 00:07:24,190 --> 00:07:25,780 Speaker 5: it as sending a message to markets. 126 00:07:26,130 --> 00:07:29,570 Speaker 1: So you did not see that meeting as a sign 127 00:07:29,630 --> 00:07:34,950 Speaker 1: that the economy was in more trouble that like the 128 00:07:34,990 --> 00:07:37,490 Speaker 1: fact that they all voted to raise the rates. You 129 00:07:37,530 --> 00:07:40,580 Speaker 1: did not see that. You saw that as confidence in 130 00:07:40,640 --> 00:07:44,920 Speaker 1: the institution and not as some sort of problem coming 131 00:07:44,960 --> 00:07:45,540 Speaker 1: down the pike. 132 00:07:45,960 --> 00:07:49,500 Speaker 5: Well, so here's the problem. Handsome Kevin actually has two nicknames. 133 00:07:50,020 --> 00:07:53,930 Speaker 5: Handsome Kevin, who is handsome. this is Kevin Walsh, of course, 134 00:07:53,970 --> 00:07:56,690 Speaker 5: has also said that he doesn't like forward guidance, which 135 00:07:56,750 --> 00:07:58,850 Speaker 5: is to say he doesn't like to tell you what 136 00:07:58,890 --> 00:08:00,190 Speaker 5: he's thinking or what he's doing. 137 00:08:00,830 --> 00:08:02,270 Speaker 4: So he's also silent, Kevin. 138 00:08:03,360 --> 00:08:05,120 Speaker 5: And so the problem is you and I are trying 139 00:08:05,130 --> 00:08:06,680 Speaker 5: to guess what's the Fed trying to do. And they 140 00:08:06,690 --> 00:08:09,160 Speaker 5: just appointed a bloke who then took a monastic vow 141 00:08:09,200 --> 00:08:12,320 Speaker 5: of silence. Old silent Kevin's over there and you and 142 00:08:12,400 --> 00:08:15,360 Speaker 5: I are guessing. Okay. There's two ways of thinking about it. One, 143 00:08:16,020 --> 00:08:19,180 Speaker 5: the data was just unusually clear. We've got an inflation 144 00:08:19,220 --> 00:08:22,740 Speaker 5: problem and not an unemployment problem. interest rates were probably 145 00:08:22,760 --> 00:08:25,920 Speaker 5: at the point that there was a foot on the accelerator. 146 00:08:25,940 --> 00:08:27,920 Speaker 5: The moment didn't call for a foot on the accelerator, 147 00:08:27,960 --> 00:08:30,640 Speaker 5: take a foot off the accelerator. And the case was 148 00:08:30,700 --> 00:08:33,740 Speaker 5: incredibly strong. So 12 people all just happened to think 149 00:08:33,780 --> 00:08:37,590 Speaker 5: the same thing. And that frequently happens. There's a different, 150 00:08:37,690 --> 00:08:42,430 Speaker 5: and in which case last month was boring. The different 151 00:08:42,490 --> 00:08:44,230 Speaker 5: answer is the Fed was under a lot of pressure 152 00:08:44,309 --> 00:08:49,589 Speaker 5: from the White House and they decided that It was 153 00:08:49,850 --> 00:08:53,150 Speaker 5: useful to be seen as all 12 marching in step. 154 00:08:53,330 --> 00:08:56,459 Speaker 5: This probably wouldn't have been an explicit conversation. It may 155 00:08:56,480 --> 00:08:59,080 Speaker 5: have been sort of an implicit sense in the room 156 00:08:59,920 --> 00:09:04,219 Speaker 5: that were one to dissent, it undermines the credibility of 157 00:09:04,260 --> 00:09:06,470 Speaker 5: the institution. It makes it look like the White House 158 00:09:06,500 --> 00:09:08,410 Speaker 5: is in the room, blah, blah, blah. So this is 159 00:09:08,429 --> 00:09:11,089 Speaker 5: sort of like, we're not doing what you want. The 160 00:09:11,130 --> 00:09:13,610 Speaker 5: interpretation here is we're not doing what you want and 161 00:09:13,630 --> 00:09:16,010 Speaker 5: it's unanimous. Do you see how that sort of feels powerful? 162 00:09:17,470 --> 00:09:19,089 Speaker 5: So that could have been what they were saying. And 163 00:09:19,110 --> 00:09:21,810 Speaker 5: the problem, of course, is that if Kevin hadn't taken 164 00:09:21,850 --> 00:09:23,690 Speaker 5: that vow of silence, he could actually tell us. 165 00:09:24,770 --> 00:09:25,170 Speaker 3: Right. 166 00:09:25,190 --> 00:09:30,130 Speaker 1: I think that's a good point. So what I'm hearing 167 00:09:30,190 --> 00:09:36,630 Speaker 1: from you is, in your mind, the fundamental, the largest 168 00:09:36,670 --> 00:09:41,120 Speaker 1: problem facing our economy at this moment is the possibility 169 00:09:41,340 --> 00:09:44,569 Speaker 1: that it will lose faith in the executive office. Because 170 00:09:44,610 --> 00:09:47,690 Speaker 1: the executive will try to mess with our elections. 171 00:09:48,700 --> 00:09:51,800 Speaker 5: And I think arguably has lost faith in the executive. 172 00:09:52,000 --> 00:09:54,740 Speaker 5: I think moms and dads around the dinner table right 173 00:09:54,800 --> 00:09:56,890 Speaker 5: now are looking ahead to their economic future and they 174 00:09:56,929 --> 00:09:59,970 Speaker 5: understand that the three biggest economic threats the United States faces. 175 00:10:00,270 --> 00:10:03,750 Speaker 4: Right now are tariffs and trade. 176 00:10:03,530 --> 00:10:06,490 Speaker 5: Wars, which continue to go on and continue to be 177 00:10:06,610 --> 00:10:09,240 Speaker 5: asyncratic and continue to be weird and continue to give 178 00:10:09,270 --> 00:10:13,170 Speaker 5: everyone else a reason to look elsewhere. The second big 179 00:10:13,200 --> 00:10:17,390 Speaker 5: threat is the war in Iran and the four to 180 00:10:17,410 --> 00:10:19,470 Speaker 5: six week war that just celebrated. 181 00:10:19,050 --> 00:10:20,190 Speaker 4: Its seven month birthday. 182 00:10:20,210 --> 00:10:24,730 Speaker 5: And, um, looks, I mean, I know that we're all 183 00:10:24,790 --> 00:10:27,630 Speaker 5: against open-ended wars in the Middle East. I'm certain the 184 00:10:27,690 --> 00:10:29,450 Speaker 5: president is, but he appears to be in one. 185 00:10:29,470 --> 00:10:30,510 Speaker 3: Yeah. 186 00:10:31,100 --> 00:10:34,580 Speaker 4: Um, at the moment, his solution. 187 00:10:34,140 --> 00:10:38,120 Speaker 5: Appears to be to lie about it rather than either 188 00:10:38,160 --> 00:10:42,660 Speaker 5: a graceful exit or some other solution. Um, and so 189 00:10:42,740 --> 00:10:46,870 Speaker 5: the immense, um, Problems that's causing in global energy markets. 190 00:10:47,090 --> 00:10:47,790 Speaker 4: And it gets worse. 191 00:10:47,809 --> 00:10:49,770 Speaker 5: It's not just the Strait of Fomos is closed. Then 192 00:10:49,809 --> 00:10:53,550 Speaker 5: there's other pipelines that are getting closed. There's also the 193 00:10:53,590 --> 00:10:56,790 Speaker 5: fact that when oil and diesel are scarce, all of 194 00:10:56,820 --> 00:10:59,140 Speaker 5: a sudden it makes being friends with Russia that has 195 00:10:59,179 --> 00:11:01,280 Speaker 5: a lot of that stuff look a whole lot more attractive. 196 00:11:01,559 --> 00:11:05,880 Speaker 5: So there's geopolitical risk and a general sense of a 197 00:11:05,920 --> 00:11:10,090 Speaker 5: scrambling of either where things are at or if you 198 00:11:10,120 --> 00:11:13,349 Speaker 5: want it to be more dramatic, the post-war world order. 199 00:11:14,240 --> 00:11:16,020 Speaker 4: Um, and then we've. 200 00:11:15,880 --> 00:11:18,989 Speaker 5: Got a budget deficit that is the largest outside of 201 00:11:19,050 --> 00:11:21,890 Speaker 5: a recession or a war in American history. And no 202 00:11:22,050 --> 00:11:25,709 Speaker 5: sense that anyone in Washington is remotely interested in talking 203 00:11:25,750 --> 00:11:28,640 Speaker 5: about it. In fact, the president promising that each of 204 00:11:28,700 --> 00:11:32,780 Speaker 5: us gets $ 5, 000 and a puppy if Republicans win the 205 00:11:32,820 --> 00:11:37,400 Speaker 5: next election, which would be, I think the largest fiscal 206 00:11:37,420 --> 00:11:39,809 Speaker 5: stimulus we'd ever seen. But of course, it's a fiscal 207 00:11:39,830 --> 00:11:42,640 Speaker 5: stimulus we only need if Republicans win, which I assume 208 00:11:42,679 --> 00:11:46,080 Speaker 5: is because the president believes that if Republicans win, the 209 00:11:46,140 --> 00:11:48,780 Speaker 5: economy would be so bad we would need an extraordinary 210 00:11:48,820 --> 00:11:51,680 Speaker 5: fiscal stimulus, which is a striking thing for him to say. 211 00:11:51,700 --> 00:11:52,500 Speaker 3: Yeah. 212 00:11:53,929 --> 00:11:57,309 Speaker 4: But that fiscal situation, folks are feeling it right now. 213 00:11:57,570 --> 00:12:00,250 Speaker 5: It's, you know, whenever you hear someone say bond yields, 214 00:12:01,210 --> 00:12:03,929 Speaker 5: they're basically saying there's too much borrowing going on and 215 00:12:04,000 --> 00:12:04,780 Speaker 5: not enough lending. 216 00:12:05,230 --> 00:12:06,050 Speaker 4: Not enough lenders. 217 00:12:06,230 --> 00:12:08,530 Speaker 5: And so interest rates are high, which makes it hard 218 00:12:08,550 --> 00:12:12,300 Speaker 5: to afford student debt and cars and mortgages. And it's 219 00:12:12,320 --> 00:12:16,300 Speaker 5: going to hit housing construction. So the thing all of 220 00:12:16,380 --> 00:12:19,900 Speaker 5: those three threats have in common is unlike any other 221 00:12:19,960 --> 00:12:22,530 Speaker 5: moment in my life, all of the threats are coming 222 00:12:22,550 --> 00:12:25,949 Speaker 5: from inside the house. Molly, you and I sort of 223 00:12:25,990 --> 00:12:29,090 Speaker 5: came of economic age during the global financial crisis. The 224 00:12:29,110 --> 00:12:32,550 Speaker 5: global financial crisis was a once in a century implosion 225 00:12:32,590 --> 00:12:35,840 Speaker 5: of financial markets. It was not... a policy directive from 226 00:12:35,880 --> 00:12:40,350 Speaker 5: the White House. Prior to that, we had the 2001 recession. 227 00:12:40,390 --> 00:12:43,870 Speaker 5: We had the popping of the NASDAQ bubble. Again, not 228 00:12:43,910 --> 00:12:46,570 Speaker 5: caused by the White House. We had the COVID recession. Again, 229 00:12:47,550 --> 00:12:49,760 Speaker 5: the White House is relevant, but it wasn't someone at 230 00:12:49,780 --> 00:12:51,780 Speaker 5: the White House said, why don't we go and attack 231 00:12:51,800 --> 00:12:56,300 Speaker 5: the US economy right now? We've got three very serious threats. 232 00:12:56,320 --> 00:13:00,069 Speaker 5: They're all coming from inside the House. and more than that, 233 00:13:00,620 --> 00:13:03,190 Speaker 5: the team whose job it is to look after us. 234 00:13:03,309 --> 00:13:06,610 Speaker 5: And I am still enough of a big government liberal 235 00:13:06,670 --> 00:13:08,770 Speaker 5: where I think the government's job is to make our 236 00:13:08,809 --> 00:13:11,690 Speaker 5: lives better and easier and tame the business cycle and 237 00:13:11,750 --> 00:13:15,290 Speaker 5: make sure we don't all lose our jobs. Um, at 238 00:13:15,330 --> 00:13:18,790 Speaker 5: the moment you have, um, I don't know what, you know, 239 00:13:18,809 --> 00:13:23,410 Speaker 5: the president has moved from idiosyncratic to highly idiosyncratic. And 240 00:13:23,470 --> 00:13:26,830 Speaker 5: I don't really know what's happened to Scott Besant. Um, 241 00:13:27,920 --> 00:13:31,220 Speaker 5: It sort of sometimes looks like maybe Pete Hegseth said, 242 00:13:31,280 --> 00:13:34,680 Speaker 5: why don't we take a lot of testosterone together? Because 243 00:13:34,720 --> 00:13:36,350 Speaker 5: he bellows and beats his chest. 244 00:13:37,020 --> 00:13:40,990 Speaker 1: He's also really into punchy, punchy. 245 00:13:41,450 --> 00:13:42,350 Speaker 4: Yeah, that's what I mean. 246 00:13:42,450 --> 00:13:47,470 Speaker 5: It looks like testosterone poisoning. And it doesn't look like 247 00:13:47,530 --> 00:13:54,220 Speaker 5: economic policy. So there's one view, which is, oh, let 248 00:13:54,250 --> 00:13:56,910 Speaker 5: him be. you know, blokes are blokes. If he wants 249 00:13:56,960 --> 00:13:59,440 Speaker 5: to go and beat his chest and pretend he's punching everyone, 250 00:14:00,400 --> 00:14:01,280 Speaker 5: you know, who cares? 251 00:14:02,160 --> 00:14:05,900 Speaker 4: Another view is, my view, and the views. 252 00:14:05,920 --> 00:14:09,650 Speaker 5: I had several friends who were former treasury secretaries, that, 253 00:14:10,330 --> 00:14:14,290 Speaker 5: you know, you want to maintain your credibility so that 254 00:14:14,330 --> 00:14:18,590 Speaker 5: when you speak, people listen. In some sense, speak softly 255 00:14:18,630 --> 00:14:22,260 Speaker 5: and carry a big stick. And when times are bad, 256 00:14:23,200 --> 00:14:26,080 Speaker 5: Having a senior government leader say, we will do whatever 257 00:14:26,120 --> 00:14:29,260 Speaker 5: it takes for things to be okay can be enough 258 00:14:29,840 --> 00:14:33,560 Speaker 5: to turn things around. But if you've lied 400 times 259 00:14:33,620 --> 00:14:35,890 Speaker 5: in a row or bellowed and not followed through or 260 00:14:36,260 --> 00:14:38,570 Speaker 5: had economic D-Day and then forgotten about it a day 261 00:14:38,610 --> 00:14:42,770 Speaker 5: and a half later, then you no longer command the 262 00:14:42,790 --> 00:14:45,510 Speaker 5: respect of the room. And so if we need that 263 00:14:45,570 --> 00:14:47,990 Speaker 5: moment of leadership, and maybe we haven't needed it yet, 264 00:14:48,050 --> 00:14:51,260 Speaker 5: but if we need it, Besant is increasingly unlikely to 265 00:14:51,320 --> 00:14:52,350 Speaker 5: be able to deliver it. 266 00:14:52,860 --> 00:14:53,240 Speaker 1: Right. 267 00:14:53,560 --> 00:14:55,100 Speaker 4: Lutnik can't and Trump can't. 268 00:14:55,160 --> 00:14:57,320 Speaker 1: Squandered his credibility. 269 00:14:58,180 --> 00:15:00,680 Speaker 5: And so what that means is we don't, arguably the 270 00:15:00,720 --> 00:15:04,160 Speaker 5: most important economic policy tool we have is speech. And 271 00:15:04,200 --> 00:15:08,150 Speaker 5: it's the speech of trusted souls who can threaten or 272 00:15:08,270 --> 00:15:12,510 Speaker 5: promise to use American might in important ways. And what 273 00:15:12,530 --> 00:15:14,710 Speaker 5: he's done is he's threatened and not followed through enough 274 00:15:14,750 --> 00:15:17,920 Speaker 5: that that speech is gone and therefore it's like we've 275 00:15:17,960 --> 00:15:19,520 Speaker 5: lost one of our economic policy tools. 276 00:15:20,340 --> 00:15:24,930 Speaker 1: It also does strike me that Besant seems really focused 277 00:15:24,950 --> 00:15:30,640 Speaker 1: on bond markets in a very, I mean, obviously the 278 00:15:30,660 --> 00:15:35,870 Speaker 1: bond market, bond markets show that a decreased confidence in 279 00:15:35,900 --> 00:15:38,930 Speaker 1: the United States, right? That's why the rates are so high, 280 00:15:39,010 --> 00:15:42,550 Speaker 1: the yields are so high, right? Explain a little bit. 281 00:15:44,210 --> 00:15:47,650 Speaker 1: And Besson has approached it like a bond trader and 282 00:15:47,710 --> 00:15:50,510 Speaker 1: not like the treasury secretary. Is that right? 283 00:15:50,530 --> 00:15:53,270 Speaker 5: He's also approached it like a very bad bond trader. 284 00:15:53,530 --> 00:15:57,530 Speaker 5: So the first thing for people to understand is, okay, 285 00:15:57,550 --> 00:15:59,910 Speaker 5: so what is the bond market? It's basically a bank 286 00:16:00,570 --> 00:16:03,670 Speaker 5: where the federal government goes to borrow money. and also 287 00:16:03,740 --> 00:16:06,300 Speaker 5: big corporations go to borrow money. Those are corporate bonds 288 00:16:06,340 --> 00:16:10,780 Speaker 5: rather than government bonds. The thing is the price of 289 00:16:10,840 --> 00:16:16,640 Speaker 5: admission is trillions of dollars. It's a huge, huge, huge market. 290 00:16:17,820 --> 00:16:21,640 Speaker 5: Unlike others, just so big, so much money sloshing around. 291 00:16:22,000 --> 00:16:26,140 Speaker 5: It's the market for loans. So several weeks ago, Besant 292 00:16:26,540 --> 00:16:29,510 Speaker 5: started trying to push down long-term interest rates. And he 293 00:16:29,530 --> 00:16:34,210 Speaker 5: did that by using an obscure treasury facility in which 294 00:16:34,250 --> 00:16:37,150 Speaker 5: he brought first $ 4 billion and then $ 6 billion to 295 00:16:37,200 --> 00:16:39,100 Speaker 5: market and said he was going to move interest rates. 296 00:16:40,060 --> 00:16:42,580 Speaker 5: The thing that folks at home might struggle with is 297 00:16:42,580 --> 00:16:45,040 Speaker 5: $ 4 to $ 6 billion feels like a lot of money, 298 00:16:45,680 --> 00:16:47,680 Speaker 5: but actually in the bond market, it's sort of like 299 00:16:47,700 --> 00:16:50,080 Speaker 5: he walked into the bond market and started throwing quarters 300 00:16:50,120 --> 00:16:52,480 Speaker 5: at people. And the only way you hurt them is 301 00:16:52,520 --> 00:16:53,620 Speaker 5: if you hit them in the eye and you make 302 00:16:53,640 --> 00:16:55,860 Speaker 5: them go blind, but they're not impressed by the quarter. 303 00:16:55,900 --> 00:16:58,340 Speaker 5: In fact, the quarter rolls off them and they don't 304 00:16:58,380 --> 00:17:01,280 Speaker 5: even bother picking it up. So he turned up with 305 00:17:01,300 --> 00:17:06,210 Speaker 5: a water pistol to a gunfight. Then confronted with that, 306 00:17:06,430 --> 00:17:09,270 Speaker 5: so the analytic thing that you and I would do, Molly, 307 00:17:09,390 --> 00:17:11,840 Speaker 5: is we'd say, well, we messed up. 308 00:17:12,170 --> 00:17:13,649 Speaker 4: That's the wrong way to try. 309 00:17:13,530 --> 00:17:16,610 Speaker 5: To move bond yields. If we were to, we'd need 310 00:17:16,630 --> 00:17:19,090 Speaker 5: a huge amount of cash. We'd need a huge amount 311 00:17:19,109 --> 00:17:21,790 Speaker 5: of credibility. Otherwise, the market's going to call out bluff. 312 00:17:23,040 --> 00:17:26,340 Speaker 5: But if you've had sufficient testosterone poisoning, instead you lean in, 313 00:17:26,380 --> 00:17:28,920 Speaker 5: you beat your chest even harder and say, no, they're wrong. 314 00:17:29,240 --> 00:17:32,460 Speaker 5: They need to understand I am the market. And the 315 00:17:32,480 --> 00:17:35,400 Speaker 5: thing is, Scotty, you're not the market. You're the borrower. 316 00:17:35,800 --> 00:17:38,320 Speaker 5: You're the bloke who owes money, who's turning up with 317 00:17:38,359 --> 00:17:39,679 Speaker 5: his cup in his hand and saying, could you lend 318 00:17:39,720 --> 00:17:43,060 Speaker 5: it to me rather than someone else? And that's a 319 00:17:43,340 --> 00:17:46,439 Speaker 5: sense in which I think he's deeply misunderstood the bond market. 320 00:17:47,680 --> 00:17:52,179 Speaker 5: Kevin Walsh gets to shape the overnight market for loans 321 00:17:52,220 --> 00:17:56,000 Speaker 5: between banks. That's called the federal funds rate. But the 10, 20, 322 00:17:56,000 --> 00:17:58,350 Speaker 5: or 30-year bond yield, the rate at which we lend 323 00:17:58,380 --> 00:18:02,730 Speaker 5: people money for long periods of time is overwhelmingly. 324 00:18:01,869 --> 00:18:02,710 Speaker 4: Larger than. 325 00:18:04,240 --> 00:18:07,459 Speaker 5: Anything that Besson can do. He doesn't own the bond market. 326 00:18:07,520 --> 00:18:10,330 Speaker 5: The best he could do is screw the bond market 327 00:18:10,380 --> 00:18:15,250 Speaker 5: by creating enormous inflation and effectively inflating away our debts. 328 00:18:15,570 --> 00:18:18,550 Speaker 5: Hopefully he's not going to do that anytime soon. So 329 00:18:18,570 --> 00:18:21,890 Speaker 5: I think he's misread the space, he's misread the moment, 330 00:18:21,990 --> 00:18:23,230 Speaker 5: and he's lost a lot of credibility. 331 00:18:24,290 --> 00:18:25,450 Speaker 1: Justin Wolfers! 332 00:18:26,410 --> 00:18:26,830 Speaker 6: Mate. 333 00:18:27,210 --> 00:18:27,450 Speaker 5: Mate. 334 00:18:30,800 --> 00:18:34,340 Speaker 7: It's time to go over the headlines of the day. 335 00:18:35,240 --> 00:18:37,740 Speaker 7: This is an interesting move from Jamie Raskin. He's seeking 336 00:18:37,780 --> 00:18:41,280 Speaker 7: to preserve Trump's D.C. propaganda and put it in the 337 00:18:41,320 --> 00:18:42,500 Speaker 7: Smithsonian Institute. 338 00:18:42,880 --> 00:18:45,040 Speaker 2: Trump loves monuments to himself. He should like this, right? 339 00:18:45,280 --> 00:18:49,070 Speaker 1: This is like a messaging bill, which is actually not 340 00:18:49,090 --> 00:18:53,810 Speaker 1: a bad messaging bill, right? Because the idea here is 341 00:18:53,869 --> 00:18:59,840 Speaker 1: to draw attention to Trump's use of taxpayer dollars. 342 00:18:59,859 --> 00:19:01,959 Speaker 2: Can I propose a alternate take? 343 00:19:02,400 --> 00:19:02,660 Speaker 3: Yeah. 344 00:19:02,880 --> 00:19:06,680 Speaker 7: This is one of our first rage baiting bills. Like 345 00:19:06,700 --> 00:19:09,440 Speaker 7: this is a lot like what Abdul did to Mike 346 00:19:09,500 --> 00:19:13,040 Speaker 7: Rogers of saying Trump should come to Michigan. This is 347 00:19:13,100 --> 00:19:13,980 Speaker 7: a rage baiting bill. 348 00:19:14,000 --> 00:19:14,480 Speaker 2: In my opinion. 349 00:19:14,850 --> 00:19:18,050 Speaker 1: I would also add that part of the situation with 350 00:19:18,090 --> 00:19:24,629 Speaker 1: this bill is that what it does is it narrows 351 00:19:25,710 --> 00:19:31,280 Speaker 1: It focuses on preserving signage or artifacts related to Trump's 352 00:19:31,430 --> 00:19:36,180 Speaker 1: planned warning signs. I think it's to highlight two things, right? 353 00:19:36,240 --> 00:19:38,480 Speaker 1: It's to highlight the ways in which he's using Eurotax 354 00:19:38,520 --> 00:19:46,250 Speaker 1: dollars to destroy Washington, D.C. But it's also a way 355 00:19:46,570 --> 00:19:49,970 Speaker 1: of highlighting the ways in which he's using his Eurotax 356 00:19:50,220 --> 00:19:54,500 Speaker 1: dollars to advertise himself, which these two things are related 357 00:19:54,520 --> 00:19:58,240 Speaker 1: to each other. The bill directs the secretary of the 358 00:19:58,300 --> 00:20:04,310 Speaker 1: Smithsonian to collect and display Trump's sprawling portraits hung outside 359 00:20:04,350 --> 00:20:07,879 Speaker 1: of federal agencies at the Museum of Natural History. It's 360 00:20:07,920 --> 00:20:13,750 Speaker 1: just a very interesting way to get attention for something. 361 00:20:13,810 --> 00:20:18,250 Speaker 1: And remember, so much of this is about like capturing voters' attention, 362 00:20:19,850 --> 00:20:28,660 Speaker 1: capturing their imagination, connecting with constituents. So this is interesting. 363 00:20:28,680 --> 00:20:31,220 Speaker 1: I mean, it won't pass, but it's certainly something to 364 00:20:31,280 --> 00:20:34,219 Speaker 1: do while Congress is out. 365 00:20:35,510 --> 00:20:35,770 Speaker 2: Yeah. 366 00:20:37,010 --> 00:20:41,530 Speaker 7: So we have some interesting polling from Reuters. They polled 367 00:20:42,410 --> 00:20:46,889 Speaker 7: whether Americans like the idea of paying for Trump to 368 00:20:46,950 --> 00:20:50,369 Speaker 7: make ads about what a great president he is. And 369 00:20:50,430 --> 00:20:53,330 Speaker 7: I'm going to shock you. This is more unpopular than 370 00:20:53,490 --> 00:20:54,550 Speaker 7: any poll I can remember. 371 00:20:54,990 --> 00:20:58,590 Speaker 1: Yeah, 90 percent. It's rare that all Americans agree on something. 372 00:20:59,260 --> 00:21:02,659 Speaker 1: Like this is it's like data centers, but it's it's 373 00:21:02,840 --> 00:21:06,619 Speaker 1: more unpopular than data centers. Is Donald Trump using your 374 00:21:06,660 --> 00:21:14,280 Speaker 1: taxpayer dollar dollars to advertise himself? And again, like, remember, 375 00:21:14,420 --> 00:21:18,419 Speaker 1: the admin has insisted that the ads were actually PSAs. 376 00:21:19,040 --> 00:21:21,419 Speaker 1: No one buys that because they have a lot of 377 00:21:21,440 --> 00:21:25,720 Speaker 1: the same footage of Trump's commercials. But the other point 378 00:21:25,760 --> 00:21:29,310 Speaker 1: here is. is that as soon as there was pushback, 379 00:21:29,369 --> 00:21:31,610 Speaker 1: Trump announced that his super PAC was going to pay 380 00:21:31,650 --> 00:21:35,510 Speaker 1: for it. But now he's saying that, you know, now 381 00:21:35,630 --> 00:21:37,969 Speaker 1: we see there are more ads that may not be 382 00:21:38,010 --> 00:21:39,970 Speaker 1: paid for by his super PAC. 383 00:21:40,010 --> 00:21:43,780 Speaker 7: So again, the old ones are still running on that dime. 384 00:21:44,280 --> 00:21:44,520 Speaker 6: Right. 385 00:21:45,160 --> 00:21:47,879 Speaker 1: So, I mean, this is one of these things. It's just, 386 00:21:48,720 --> 00:21:54,700 Speaker 1: you know, it's wild to watch him just do unpopular stuff. And, 387 00:21:54,740 --> 00:21:57,459 Speaker 1: you know, he's definitely trying to send people money. And 388 00:21:57,520 --> 00:22:01,380 Speaker 1: we saw there's more, you know, people are getting $ 90 checks, 389 00:22:01,460 --> 00:22:05,460 Speaker 1: some people. And then there are these Trump accounts for babies, 390 00:22:05,980 --> 00:22:12,510 Speaker 1: courtesy of Trump donor Michael Dow. But ultimately, he just 391 00:22:12,590 --> 00:22:16,250 Speaker 1: keeps doing really unpopular stuff right before a midterm election, 392 00:22:16,290 --> 00:22:20,390 Speaker 1: which I think is really something, especially when he has 393 00:22:20,550 --> 00:22:22,010 Speaker 1: so much. But I mean, the other thing I don't 394 00:22:22,030 --> 00:22:26,550 Speaker 1: understand is like America PAC. has basically, the Elon Musk 395 00:22:26,590 --> 00:22:31,170 Speaker 1: pack has seemingly endless money. Trump has at least, you know, 396 00:22:31,210 --> 00:22:34,859 Speaker 1: somewhere in half a billion dollars worth of campaign money. 397 00:22:35,420 --> 00:22:38,480 Speaker 1: And he has to, like, take money from the taxpayers. 398 00:22:38,940 --> 00:22:39,720 Speaker 2: Got to own the libs. 399 00:22:40,320 --> 00:22:44,680 Speaker 1: And that money should be going to businesses that do 400 00:22:44,720 --> 00:22:47,389 Speaker 1: business with his son's companies. 401 00:22:47,830 --> 00:22:50,030 Speaker 7: So, Molly, do you remember that ad campaign, The Most 402 00:22:50,170 --> 00:22:51,190 Speaker 7: Interesting Man in the World? 403 00:22:51,690 --> 00:22:51,910 Speaker 4: No. 404 00:22:52,369 --> 00:22:52,590 Speaker 2: Really? 405 00:22:52,609 --> 00:22:52,689 Speaker 6: Nope. 406 00:22:54,130 --> 00:22:56,750 Speaker 7: There's this ad campaign where it described the most interesting 407 00:22:56,790 --> 00:22:58,550 Speaker 7: man in the world and it described what he does. 408 00:22:58,630 --> 00:23:02,410 Speaker 7: So I present an ad for that. I can't remember 409 00:23:02,450 --> 00:23:05,690 Speaker 7: what shows wasn't the best ad. Anyway, I'm going to 410 00:23:05,750 --> 00:23:08,210 Speaker 7: nominate this guy for most interesting man in the world 411 00:23:08,250 --> 00:23:11,630 Speaker 7: in the way that it's interesting. And what the fuck? 412 00:23:11,690 --> 00:23:15,010 Speaker 7: This is terrible way. So this guy named is Victor Marx. 413 00:23:15,230 --> 00:23:20,070 Speaker 7: He's a he's the Republican gubernatorial nominee in Colorado. He 414 00:23:20,590 --> 00:23:25,470 Speaker 7: is a minister, an exorcist. He's killed an estimated 72 415 00:23:25,470 --> 00:23:31,020 Speaker 7: people during the war with ISIS. And now he basically 416 00:23:31,080 --> 00:23:33,280 Speaker 7: admitted that he's a domestic abuser. 417 00:23:33,340 --> 00:23:35,900 Speaker 2: And he said his wife was fake crying afterwards. 418 00:23:36,660 --> 00:23:44,570 Speaker 1: So Victor Marx is running for governor in Colorado. Remember, 419 00:23:44,730 --> 00:23:49,840 Speaker 1: right now, Governor Polis is the governor of Colorado. This 420 00:23:49,859 --> 00:23:52,900 Speaker 1: is a candidate I just did not know anything about. 421 00:23:52,920 --> 00:24:02,890 Speaker 1: And he sounds like just not good. Victor Marx. And again, 422 00:24:02,910 --> 00:24:06,209 Speaker 1: he has declared that he shoved his wife in the 423 00:24:06,290 --> 00:24:10,139 Speaker 1: past and would do it again. So I just want 424 00:24:10,160 --> 00:24:14,180 Speaker 1: to say Trump is underwater by about 29 points in Colorado. 425 00:24:16,490 --> 00:24:19,609 Speaker 1: So I think that Victor Marx is not going to 426 00:24:19,630 --> 00:24:26,760 Speaker 1: be governor of Colorado. And so my guess is that 427 00:24:26,880 --> 00:24:32,020 Speaker 1: this is probably OK. He's pretty rough. And again, Colorado 428 00:24:32,260 --> 00:24:36,610 Speaker 1: has birthed a lot of really weird candidates. You'll remember, 429 00:24:36,670 --> 00:24:39,050 Speaker 1: like Lauren Boebert is from Colorado. 430 00:24:39,070 --> 00:24:43,510 Speaker 7: I think that I would call Jared Polis very weird. 431 00:24:44,310 --> 00:24:50,350 Speaker 1: Jared Polis is pretty weird, I think. But it looks 432 00:24:50,390 --> 00:24:57,200 Speaker 1: like Phil Weiser, who is the attorney general, seems like 433 00:24:57,420 --> 00:25:02,180 Speaker 1: a lot less weird. But Colorado, it's a very strange 434 00:25:02,300 --> 00:25:09,050 Speaker 1: time in Colorado. And I think the fact that you have, like, 435 00:25:09,350 --> 00:25:13,430 Speaker 1: a governor's race in a pretty, in a somewhat strange, 436 00:25:14,480 --> 00:25:16,560 Speaker 1: In a state that can go either way. 437 00:25:16,700 --> 00:25:19,740 Speaker 2: A bluish purple state is the way I heard it called. 438 00:25:20,320 --> 00:25:24,780 Speaker 1: Yeah. Who's so scary is really shows just how Republicans 439 00:25:24,880 --> 00:25:28,760 Speaker 1: are really in a strange and probably very destructive place. 440 00:25:29,140 --> 00:25:29,320 Speaker 4: Yeah. 441 00:25:29,359 --> 00:25:31,360 Speaker 2: I would be remiss if I didn't read one quote 442 00:25:31,380 --> 00:25:32,240 Speaker 2: from this, though, that. 443 00:25:32,600 --> 00:25:36,209 Speaker 1: Marxists love this story. It's like you're so happy with this. 444 00:25:37,190 --> 00:25:37,390 Speaker 3: Yes. 445 00:25:37,470 --> 00:25:37,770 Speaker 1: Go. 446 00:25:38,010 --> 00:25:38,270 Speaker 4: Sorry. 447 00:25:38,290 --> 00:25:39,810 Speaker 1: It's captured your imagination. 448 00:25:39,950 --> 00:25:40,370 Speaker 4: Go. Yes. 449 00:25:40,770 --> 00:25:42,810 Speaker 2: People have called us the real Mr. and Mrs. 450 00:25:42,930 --> 00:25:43,190 Speaker 4: Smith. 451 00:25:43,390 --> 00:25:46,030 Speaker 7: How many wives actually grab a backpack and put a 452 00:25:46,070 --> 00:25:48,949 Speaker 7: tomahawk night vision and put a grenade in their coat pocket? 453 00:25:49,380 --> 00:25:51,460 Speaker 2: We're not normal. I'll say so. 454 00:25:51,480 --> 00:25:54,720 Speaker 1: I mean, I don't know when you're that person why 455 00:25:54,780 --> 00:25:57,960 Speaker 1: you decide that you need to be the governor of 456 00:25:58,020 --> 00:26:01,420 Speaker 1: your state. It's just odd stuff. 457 00:26:02,000 --> 00:26:04,260 Speaker 2: Maybe one of the ghosts who he was exercising told 458 00:26:04,300 --> 00:26:04,640 Speaker 2: him to. 459 00:26:05,220 --> 00:26:05,600 Speaker 1: Yes. 460 00:26:06,180 --> 00:26:06,570 Speaker 6: So, Molly. 461 00:26:07,390 --> 00:26:09,670 Speaker 7: You know I love watching a debate, and I couldn't 462 00:26:09,730 --> 00:26:12,250 Speaker 7: even get through this one last night because it was 463 00:26:12,780 --> 00:26:18,580 Speaker 7: pretty weird and pitiful. Troy Jackson handed Susan Collins' ass 464 00:26:18,619 --> 00:26:20,939 Speaker 7: to her, unlike what I've seen in previous debates with her, 465 00:26:21,260 --> 00:26:24,050 Speaker 7: where I actually usually think, as somebody who judges this 466 00:26:24,090 --> 00:26:27,929 Speaker 7: a lot, she's usually a formidable opponent in those debates. 467 00:26:28,359 --> 00:26:30,340 Speaker 7: I don't think she always gets the best opponent, but 468 00:26:30,380 --> 00:26:33,060 Speaker 7: Troy Jackson really knew what he was doing last night. 469 00:26:33,080 --> 00:26:33,600 Speaker 2: What did you see? 470 00:26:34,140 --> 00:26:36,899 Speaker 1: Yeah, I thought he did really well. And again, one 471 00:26:36,940 --> 00:26:41,200 Speaker 1: of the things about Troy Jackson that even his staunchest 472 00:26:41,260 --> 00:26:45,010 Speaker 1: defenders will say is that he's not that well-spoken. And actually, 473 00:26:45,160 --> 00:26:47,030 Speaker 1: it's funny. I was talking to a friend from Maine 474 00:26:47,190 --> 00:26:50,129 Speaker 1: who was saying, is it that he's not that well-spoken 475 00:26:50,210 --> 00:26:52,650 Speaker 1: or is it that he really speaks like a Mainer? 476 00:26:53,430 --> 00:26:55,410 Speaker 1: Someone from real world Maine. 477 00:26:55,430 --> 00:26:58,090 Speaker 7: I had a friend say similar that like the same 478 00:26:58,130 --> 00:27:00,580 Speaker 7: way that Bernie's a little grouchy to a lot of people, 479 00:27:01,020 --> 00:27:03,160 Speaker 7: that he has a similar affectation. 480 00:27:04,040 --> 00:27:07,160 Speaker 1: And so he's and and I think the moment that 481 00:27:07,520 --> 00:27:09,900 Speaker 1: I'm the most there were two moments that really stuck 482 00:27:10,000 --> 00:27:12,169 Speaker 1: out to me. But the one that really stuck out 483 00:27:12,190 --> 00:27:18,400 Speaker 1: to me was when. she, when Jackson said she's always 484 00:27:18,440 --> 00:27:20,840 Speaker 1: had healthcare, that's not the way it is for most 485 00:27:20,900 --> 00:27:25,070 Speaker 1: of us. And then Collins just walked right into it. 486 00:27:25,390 --> 00:27:28,149 Speaker 1: She said, first of all, I've not been insured my 487 00:27:28,190 --> 00:27:32,290 Speaker 1: whole life. I spent a year running for governor in 1994, 488 00:27:33,130 --> 00:27:35,150 Speaker 1: which is right. 489 00:27:35,150 --> 00:27:35,220 Speaker 5: 1994. 490 00:27:35,210 --> 00:27:37,450 Speaker 1: That's 32 years ago. 491 00:27:38,510 --> 00:27:40,800 Speaker 2: So Susan Collins was alive then. 492 00:27:41,420 --> 00:27:43,600 Speaker 1: Right. And Susan Collins is saying that 32 years ago, 493 00:27:45,070 --> 00:27:48,770 Speaker 1: She didn't have health insurance for a year. And that 494 00:27:48,810 --> 00:27:52,770 Speaker 1: that was and I think that's like just such an indictment. 495 00:27:53,070 --> 00:27:57,190 Speaker 1: I was really that I thought was a pretty like 496 00:27:57,290 --> 00:27:59,510 Speaker 1: impressive moment because you have to be a pretty impressive 497 00:27:59,550 --> 00:28:02,429 Speaker 1: candidate to walk your opponent into that. And then the 498 00:28:02,690 --> 00:28:06,090 Speaker 1: other one that I thought was pretty good or just 499 00:28:06,790 --> 00:28:11,880 Speaker 1: I think spoke to it was so they were talking 500 00:28:11,940 --> 00:28:16,680 Speaker 1: about how she had gotten SALT. Off the right. So 501 00:28:16,740 --> 00:28:19,800 Speaker 1: she said, I was successful getting road salt removed from 502 00:28:19,840 --> 00:28:23,000 Speaker 1: the tariff list, which you do need road salt in Maine. 503 00:28:23,420 --> 00:28:26,960 Speaker 1: And Jackson said, what about everything else? We can't eat 504 00:28:27,060 --> 00:28:31,180 Speaker 1: road salt. And I thought that was a pretty good. 505 00:28:31,200 --> 00:28:33,119 Speaker 1: That's a pretty good line. 506 00:28:33,440 --> 00:28:35,590 Speaker 7: The point he put on it was really good, which 507 00:28:35,670 --> 00:28:38,430 Speaker 7: is he says that she's an arsonist who brings a 508 00:28:38,470 --> 00:28:40,790 Speaker 7: cup of water to put out a fire. And that 509 00:28:40,870 --> 00:28:43,330 Speaker 7: line was right in line with that indictment, which I 510 00:28:43,370 --> 00:28:45,610 Speaker 7: thought was really good. And that was the theme of 511 00:28:46,290 --> 00:28:48,930 Speaker 7: the few minutes I could bear to watch this thing. 512 00:28:48,950 --> 00:28:50,550 Speaker 3: Yeah. 513 00:28:50,630 --> 00:28:52,370 Speaker 1: And I think it's a good I mean, I just 514 00:28:52,410 --> 00:28:56,450 Speaker 1: think you don't get, you know, this a guy where 515 00:28:56,490 --> 00:28:59,860 Speaker 1: everyone has talked about how he's not he doesn't speak well. 516 00:29:00,300 --> 00:29:03,300 Speaker 1: And like, obviously, if we're quoting lines from his debate, 517 00:29:03,360 --> 00:29:05,840 Speaker 1: he speaks as well as anyone. 518 00:29:06,280 --> 00:29:09,380 Speaker 7: Yeah, I think it's like really that he's just not 519 00:29:09,520 --> 00:29:13,500 Speaker 7: that politician that's like saying they're loving every moment of engaging. 520 00:29:13,060 --> 00:29:15,550 Speaker 2: With the human. But he was pretty good at putting 521 00:29:15,590 --> 00:29:16,910 Speaker 2: a point on things, I will say. 522 00:29:19,170 --> 00:29:24,190 Speaker 1: Alex Gibney is a legendary documentary director of movies like 523 00:29:24,350 --> 00:29:30,500 Speaker 1: Taxi to the Dark Side, Zero Days, and his latest, Musk. Welcome, welcome, 524 00:29:30,680 --> 00:29:31,620 Speaker 1: Alex Gibney. 525 00:29:31,940 --> 00:29:33,420 Speaker 6: Hey there, Molly. Good to see you. 526 00:29:33,850 --> 00:29:37,100 Speaker 1: Good to see you. So I saw the movie in 527 00:29:37,160 --> 00:29:42,340 Speaker 1: two parts and it's very full And in there's an intermission. 528 00:29:42,520 --> 00:29:44,680 Speaker 1: I would love you to talk about how you feel, 529 00:29:45,180 --> 00:29:47,940 Speaker 1: sort of what you feel about both parts of the 530 00:29:47,980 --> 00:29:50,920 Speaker 1: movie and and sort of how you did it. 531 00:29:51,340 --> 00:29:55,510 Speaker 6: Well, you know, in the spring of 2024, remember, I 532 00:29:55,530 --> 00:30:00,680 Speaker 6: started this late fall or no, uh, Late in the year. Yeah, 533 00:30:00,740 --> 00:30:04,540 Speaker 6: late fall 2022. So I've been on this beat for 534 00:30:04,560 --> 00:30:08,400 Speaker 6: a long time. And spring of 2024, we were coming 535 00:30:08,460 --> 00:30:10,930 Speaker 6: to the end and thinking that we'd release a two-hour 536 00:30:11,010 --> 00:30:16,510 Speaker 6: film in theaters in the fall festivals. And then Trump 537 00:30:16,570 --> 00:30:21,190 Speaker 6: was nearly assassinated. Elon hitched his wagon to Trump. And 538 00:30:21,290 --> 00:30:24,970 Speaker 6: my pals at HBO said, you're not done. Keep following 539 00:30:25,010 --> 00:30:28,620 Speaker 6: the story. But we had a film, right? And so 540 00:30:29,020 --> 00:30:32,640 Speaker 6: roughly speaking, I would say that ends up being the 541 00:30:32,680 --> 00:30:35,459 Speaker 6: point of the intermission and then the point after. Though 542 00:30:36,010 --> 00:30:40,350 Speaker 6: I would say that we did move pieces around because 543 00:30:40,690 --> 00:30:44,830 Speaker 6: it's a film that's in chapters. But the first film 544 00:30:44,870 --> 00:30:47,880 Speaker 6: was after he had taken care of Twitter. He was 545 00:30:48,150 --> 00:30:54,560 Speaker 6: starting to go crazy, but he hadn't yet begun his massive– well, 546 00:30:54,600 --> 00:30:56,880 Speaker 6: he had begun his political project, which I didn't realize 547 00:30:56,900 --> 00:30:59,220 Speaker 6: at the time. But he didn't achieve the kind of 548 00:30:59,460 --> 00:31:02,920 Speaker 6: power that he achieved by linking arms with Trump. 549 00:31:03,360 --> 00:31:05,700 Speaker 1: One of the things that I was struck by in 550 00:31:05,990 --> 00:31:11,750 Speaker 1: the movie is how similar his takeover of Twitter and 551 00:31:11,790 --> 00:31:15,920 Speaker 1: his takeover of the federal government is. That is something 552 00:31:15,980 --> 00:31:19,640 Speaker 1: I think I hadn't maybe at the time noticed, but 553 00:31:19,680 --> 00:31:23,840 Speaker 1: the way you lay it out, it's both part of 554 00:31:23,880 --> 00:31:27,210 Speaker 1: his origin story and part of... And it just seems 555 00:31:27,270 --> 00:31:31,390 Speaker 1: like he has one playbook. Did you see that in 556 00:31:31,550 --> 00:31:36,150 Speaker 1: other parts of his life, like repetitive ways to deal 557 00:31:36,190 --> 00:31:38,690 Speaker 1: with problems? Like, just talk to me about sort of 558 00:31:38,710 --> 00:31:41,330 Speaker 1: the patterns you saw in the movie working on it. 559 00:31:41,340 --> 00:31:44,280 Speaker 6: I mean, I think... In a way, it ends up 560 00:31:44,340 --> 00:31:46,960 Speaker 6: being one of the reasons that the film is at 561 00:31:47,000 --> 00:31:51,060 Speaker 6: its epic length. It's because you see something that's seeded early. 562 00:31:51,080 --> 00:31:55,270 Speaker 6: And I would argue that there's a number of cons 563 00:31:55,330 --> 00:32:00,410 Speaker 6: that he plays, often related to driving up the stock price. 564 00:32:00,770 --> 00:32:04,470 Speaker 6: And then later, those cons get bigger and bigger and bigger. 565 00:32:04,850 --> 00:32:07,910 Speaker 6: So some of the cons he pulls over on stock 566 00:32:07,930 --> 00:32:12,160 Speaker 6: price at Tesla then get repeated for the SpaceX IPO. 567 00:32:13,960 --> 00:32:17,800 Speaker 6: but on a much larger scale. So yeah, he has, 568 00:32:18,200 --> 00:32:21,520 Speaker 6: it's like the Vince Lombardi of tech. He had three 569 00:32:21,560 --> 00:32:25,290 Speaker 6: or four plays and he keeps running them over and 570 00:32:25,370 --> 00:32:27,930 Speaker 6: over and over again. And in the case of Twitter 571 00:32:28,030 --> 00:32:30,870 Speaker 6: and Doge, he literally used the same language in that 572 00:32:30,930 --> 00:32:32,010 Speaker 6: letter that goes out. 573 00:32:32,030 --> 00:32:32,270 Speaker 1: Same email. 574 00:32:32,810 --> 00:32:34,410 Speaker 6: Yeah, same email, right. 575 00:32:35,550 --> 00:32:40,310 Speaker 1: What is the original sin of Elon Musk? I have 576 00:32:40,350 --> 00:32:42,490 Speaker 1: a theory, but I want you to tell me what 577 00:32:42,510 --> 00:32:44,570 Speaker 1: you think this sort of original sin there is. 578 00:32:44,890 --> 00:32:47,030 Speaker 6: I mean, the way it works in the film, it's 579 00:32:47,390 --> 00:32:51,650 Speaker 6: the battery swap. You could also say it's the moment 580 00:32:51,730 --> 00:32:58,570 Speaker 6: when he won't settle a lawsuit until Martin Eberhard agrees 581 00:32:59,210 --> 00:33:02,750 Speaker 6: to say that Elon Musk was the founder. Because that's 582 00:33:02,790 --> 00:33:08,700 Speaker 6: a moment. That's not just credit grabbing. That's literally... rewriting 583 00:33:09,020 --> 00:33:13,430 Speaker 6: history to be able to make people believe that you 584 00:33:13,490 --> 00:33:14,510 Speaker 6: are something that you are not. 585 00:33:14,850 --> 00:33:18,270 Speaker 1: Yeah, that's what I thought. I thought the moment where 586 00:33:18,310 --> 00:33:23,430 Speaker 1: you get that Martin Eberhoff to that interview with him, 587 00:33:23,490 --> 00:33:26,720 Speaker 1: and I had sort of known that story, but hearing 588 00:33:26,800 --> 00:33:33,780 Speaker 1: him articulate it is sort of stunning. And it sets 589 00:33:33,880 --> 00:33:36,320 Speaker 1: the stage for everything that happens next. 590 00:33:36,600 --> 00:33:39,880 Speaker 6: Yeah, because he doesn't just say, you know, I guess 591 00:33:39,920 --> 00:33:42,500 Speaker 6: Martin was there, but really I was the founder. It's 592 00:33:42,560 --> 00:33:45,960 Speaker 6: not like that. It's like written down so that there 593 00:33:46,000 --> 00:33:48,800 Speaker 6: is a documented record and he wouldn't settle the lawsuit 594 00:33:49,160 --> 00:33:52,600 Speaker 6: until this was settled. Because that ends up being not 595 00:33:52,680 --> 00:33:55,720 Speaker 6: only a marker or the start of his kind of 596 00:33:56,300 --> 00:34:00,020 Speaker 6: meme personality, that he is this kind of Iron Man-like figure, 597 00:34:00,500 --> 00:34:03,480 Speaker 6: but also, you know, in Silicon Valley, to the founder 598 00:34:03,540 --> 00:34:07,380 Speaker 6: go the spoils. Not in terms of the stock you get, 599 00:34:07,480 --> 00:34:10,600 Speaker 6: but the stock price that you're able to shoot for 600 00:34:10,900 --> 00:34:16,210 Speaker 6: by saying, I'm this genius tech overlord. And even though 601 00:34:16,250 --> 00:34:20,149 Speaker 6: the economic fundamentals of the company don't justify it, you know, 602 00:34:20,590 --> 00:34:22,930 Speaker 6: bid up the stock because the future is glorious and 603 00:34:22,969 --> 00:34:25,720 Speaker 6: I will take us to planet Mars and beyond. 604 00:34:25,739 --> 00:34:31,600 Speaker 1: Tech overlord. oligarchs, the tech monopoly do not want people 605 00:34:31,660 --> 00:34:34,340 Speaker 1: to see this movie. Do you know this was coming 606 00:34:34,400 --> 00:34:37,020 Speaker 1: and how are these people trying to silence you? 607 00:34:37,500 --> 00:34:40,990 Speaker 6: You know, first there was a kind of mysterious silence 608 00:34:41,430 --> 00:34:45,149 Speaker 6: at Universal and they control most of the international rights. 609 00:34:45,530 --> 00:34:51,210 Speaker 6: That's since been sorted out. Then we were surprised when, 610 00:34:51,570 --> 00:34:54,830 Speaker 6: you know, we dropped the trailer and Bleecker Street, who's 611 00:34:54,890 --> 00:34:58,790 Speaker 6: the theatrical distributor, started running ads for the trailer, and 612 00:34:58,830 --> 00:35:02,920 Speaker 6: they were all turned down by Meta, by YouTube, by TikTok, 613 00:35:03,560 --> 00:35:08,600 Speaker 6: and of course by X, but uniformly. And we appealed 614 00:35:08,800 --> 00:35:12,180 Speaker 6: and then appeal denied, appealed again, appeal denied, because they 615 00:35:12,239 --> 00:35:16,430 Speaker 6: said these are political advertisements. They weren't political advertisements. They're 616 00:35:16,469 --> 00:35:21,470 Speaker 6: advertisements for a movie. Only when an article was published 617 00:35:22,730 --> 00:35:27,300 Speaker 6: chronicling what was happening did Meta and YouTube suddenly say, oh, whoops, 618 00:35:27,830 --> 00:35:30,450 Speaker 6: It was a mistake. But it gives you a sense, 619 00:35:30,610 --> 00:35:33,430 Speaker 6: you know, and this was all happening just as, you know, 620 00:35:33,469 --> 00:35:37,509 Speaker 6: Zuckerberg and Musk and all the other and Bezos and 621 00:35:37,550 --> 00:35:40,890 Speaker 6: all the other tech titans are having dinner with Xi 622 00:35:40,910 --> 00:35:43,890 Speaker 6: Jinping at the White House. So you kind of get 623 00:35:43,930 --> 00:35:48,410 Speaker 6: this sense of manufacturing consent, you know, up at the top. 624 00:35:48,430 --> 00:35:52,090 Speaker 6: There's a limited set of things that you can talk about. 625 00:35:52,350 --> 00:35:53,830 Speaker 6: And if you can talk about them, you have to 626 00:35:53,870 --> 00:35:56,180 Speaker 6: talk about them in a certain way. or else you 627 00:35:56,200 --> 00:35:59,400 Speaker 6: will be silenced. So I got a glimpse of what 628 00:35:59,440 --> 00:36:01,299 Speaker 6: the future might look like if we don't fight back. 629 00:36:01,540 --> 00:36:05,259 Speaker 1: I was surprised there wasn't more about his drug use. 630 00:36:06,550 --> 00:36:10,930 Speaker 1: Because of the Wall Street Journal reporting, we saw about 631 00:36:10,989 --> 00:36:18,549 Speaker 1: his drug use and also Ashley St. Clair's pointed inability 632 00:36:18,630 --> 00:36:20,169 Speaker 1: to answer that question. 633 00:36:20,190 --> 00:36:23,980 Speaker 6: I mean, I felt in a way I went as 634 00:36:24,060 --> 00:36:27,470 Speaker 6: far as I needed to go. The Wall Street Journal article, 635 00:36:27,989 --> 00:36:32,009 Speaker 6: which documented use of LSD, cocaine, ketamine, I think there 636 00:36:32,030 --> 00:36:36,650 Speaker 6: were some other drugs in the mix. I think in 637 00:36:36,690 --> 00:36:38,150 Speaker 6: a way that's all you need to know. That's a 638 00:36:38,250 --> 00:36:42,200 Speaker 6: pretty toxic mix of different kinds of drugs, particularly for 639 00:36:42,280 --> 00:36:46,819 Speaker 6: somebody who has his own demons in the past, who's 640 00:36:46,860 --> 00:36:50,220 Speaker 6: becoming unhinged because of the power he's accreting, and also 641 00:36:50,640 --> 00:36:53,379 Speaker 6: the kind of rage addiction that he seems to be 642 00:36:53,880 --> 00:36:59,400 Speaker 6: subject to because of his you know, insane tweeting, you know, 643 00:36:59,440 --> 00:37:03,040 Speaker 6: sometimes up to 150 times a day, many of those replies. 644 00:37:03,480 --> 00:37:07,459 Speaker 6: So I just felt like within that context, that was enough. 645 00:37:07,540 --> 00:37:11,779 Speaker 6: It was showing that this guy is self-medicating in a 646 00:37:11,800 --> 00:37:12,780 Speaker 6: way that's not healthy. 647 00:37:13,120 --> 00:37:20,890 Speaker 1: I thought the interview with his father, Errol, was... pretty 648 00:37:21,450 --> 00:37:26,069 Speaker 1: spectacular and done in a very spare and brilliant way. 649 00:37:26,090 --> 00:37:30,310 Speaker 1: Did you have trouble getting that? And were you surprised 650 00:37:30,330 --> 00:37:35,220 Speaker 1: at how much he revealed himself despite not revealing himself? 651 00:37:36,440 --> 00:37:41,740 Speaker 6: So it's an interesting question. Here's how the interview came down. 652 00:37:41,820 --> 00:37:45,089 Speaker 6: Somebody gave me his number. We called it, asked for 653 00:37:45,110 --> 00:37:48,549 Speaker 6: the interview, and he said yes. It was that simple, right? 654 00:37:49,050 --> 00:37:51,310 Speaker 6: And I don't think he asked Elon's permission. And I 655 00:37:51,370 --> 00:37:56,890 Speaker 6: think their relationship is strained. And yet at the same time, 656 00:37:56,930 --> 00:38:01,009 Speaker 6: he's obviously intensely proud. Elon also claims that he was 657 00:38:01,030 --> 00:38:03,630 Speaker 6: psychologically abusive to him, so forth and so on. But 658 00:38:04,170 --> 00:38:07,790 Speaker 6: I think in the interview, you get a glimpse both 659 00:38:07,830 --> 00:38:12,239 Speaker 6: of what Elon's childhood must have been like, but also 660 00:38:12,300 --> 00:38:16,440 Speaker 6: you get a glimpse into Elon because of who Errol 661 00:38:16,560 --> 00:38:18,460 Speaker 6: is in terms of his sort of. 662 00:38:20,480 --> 00:38:24,879 Speaker 6: His willing to exaggerate or make up the facts, but 663 00:38:24,960 --> 00:38:30,319 Speaker 6: also a kind of penchant and reveling in violence, which 664 00:38:30,360 --> 00:38:32,120 Speaker 6: was one of the things that I found extraordinary. Because 665 00:38:32,160 --> 00:38:34,400 Speaker 6: I asked him, there was a famous incident in which 666 00:38:34,440 --> 00:38:38,270 Speaker 6: he killed two or three intruders into his house, killed 667 00:38:38,290 --> 00:38:42,610 Speaker 6: them with his. 357 Magnum. And I just asked him 668 00:38:42,650 --> 00:38:45,810 Speaker 6: the question, but the degree to which he went on 669 00:38:45,830 --> 00:38:48,090 Speaker 6: and on about it, and then began to describe the 670 00:38:48,130 --> 00:38:51,350 Speaker 6: different colors of blood, in the floor. You know, he 671 00:38:51,390 --> 00:38:53,170 Speaker 6: could tell that he was reveling in it in a 672 00:38:53,210 --> 00:38:56,029 Speaker 6: way that was, I must say, uncomfortable. 673 00:38:56,410 --> 00:38:56,660 Speaker 3: Yeah. 674 00:38:56,739 --> 00:39:00,440 Speaker 1: And then you used a really interesting bit of May Musk. 675 00:39:01,800 --> 00:39:05,480 Speaker 1: Explain how you found that and what I assume she 676 00:39:05,520 --> 00:39:07,299 Speaker 1: was not interested in speaking to you. 677 00:39:07,660 --> 00:39:11,989 Speaker 6: Correct. But she had been. That was an archival clip 678 00:39:12,430 --> 00:39:17,090 Speaker 6: where she talked about how she was physically abused by 679 00:39:17,110 --> 00:39:22,660 Speaker 6: Errol And that was also pointed to me, or his 680 00:39:23,710 --> 00:39:28,070 Speaker 6: kind of misogynistic manner was pointed out to me by Justine. 681 00:39:28,620 --> 00:39:32,480 Speaker 6: you know, who, uh, Justine Musk being, uh, Elon Musk's 682 00:39:32,540 --> 00:39:36,520 Speaker 6: first wife, who said that at the heart of a 683 00:39:36,580 --> 00:39:42,440 Speaker 6: kind of, uh, toxic misogyny was Errol. And so that, uh, 684 00:39:42,600 --> 00:39:44,520 Speaker 6: I felt that was something that needed to be pointed 685 00:39:44,640 --> 00:39:47,330 Speaker 6: out because he lives very much in a man's world 686 00:39:47,590 --> 00:39:53,030 Speaker 6: while he has these very interesting, lovers and wives, ultimately 687 00:39:53,050 --> 00:39:55,730 Speaker 6: the relationship always seems to turn sour in a way 688 00:39:55,790 --> 00:40:01,950 Speaker 6: that's almost stereotypically toxic male. 689 00:40:02,390 --> 00:40:07,489 Speaker 1: It's so interesting to me that Justine and Ashley are 690 00:40:07,530 --> 00:40:13,180 Speaker 1: both really smart and really sharp. And I actually really 691 00:40:13,239 --> 00:40:17,080 Speaker 1: like Justine and I really like Ashley. And they're both 692 00:40:17,140 --> 00:40:22,660 Speaker 1: really smart and really sharp and It's unusual in my 693 00:40:22,719 --> 00:40:25,880 Speaker 1: mind to have someone like that, like who has a 694 00:40:25,920 --> 00:40:30,720 Speaker 1: sort of Trump like relationship to women, be so interested 695 00:40:30,780 --> 00:40:35,359 Speaker 1: in smart women. What do you think that is? Like, 696 00:40:35,489 --> 00:40:37,850 Speaker 1: I mean, it just doesn't jive with the rest of 697 00:40:37,870 --> 00:40:38,710 Speaker 1: the project. 698 00:40:39,130 --> 00:40:40,810 Speaker 6: I totally agree with you. And it's one of the 699 00:40:40,850 --> 00:40:44,730 Speaker 6: things that fascinated me because and I would add that. 700 00:40:45,510 --> 00:40:49,569 Speaker 6: You know, I don't know anything. I mean, anything more 701 00:40:49,590 --> 00:40:51,910 Speaker 6: than I put in the film about Siobhan, who just 702 00:40:51,950 --> 00:40:54,640 Speaker 6: recently broke up with Zillow, who just recently broke up 703 00:40:55,100 --> 00:40:59,080 Speaker 6: with Musk. But by all accounts, she's really smart. And 704 00:40:59,160 --> 00:41:02,879 Speaker 6: Claire Boucher is also very smart. And so he's he's 705 00:41:02,940 --> 00:41:10,970 Speaker 6: attracted to these very accomplished, interesting, really sophisticated women. 706 00:41:11,730 --> 00:41:11,930 Speaker 1: Yeah. 707 00:41:12,870 --> 00:41:17,640 Speaker 6: And and and they are attracted to him. Yeah. And 708 00:41:17,800 --> 00:41:19,939 Speaker 6: and they feel, you know, but but there's a real 709 00:41:19,980 --> 00:41:25,899 Speaker 6: divide between either pre marriage and post marriage or particularly 710 00:41:26,540 --> 00:41:28,140 Speaker 6: pre children and post children. 711 00:41:28,760 --> 00:41:29,040 Speaker 4: Yeah. 712 00:41:29,360 --> 00:41:33,299 Speaker 6: It's also sort of stereotypical. You know, it's like it's 713 00:41:33,540 --> 00:41:35,930 Speaker 6: almost as if a switch is flipped. Yeah. 714 00:41:36,250 --> 00:41:42,430 Speaker 1: The Siobhan Zillis breakup, which we saw was basically, from what, 715 00:41:42,870 --> 00:41:46,259 Speaker 1: at least on the outside, it looked like to the observer, 716 00:41:46,340 --> 00:41:50,339 Speaker 1: and who even really knows what happened, really happened. But, like, 717 00:41:50,800 --> 00:41:57,330 Speaker 1: the Siobhan Zillis breakup was basically, he unfollowed her on X, 718 00:41:57,910 --> 00:42:02,870 Speaker 1: and then she... tweeted out a text message exchange that 719 00:42:02,890 --> 00:42:06,210 Speaker 1: they had. Again, there's probably more behind the scenes, but 720 00:42:07,070 --> 00:42:09,070 Speaker 1: were you slightly shocked by that? 721 00:42:09,610 --> 00:42:12,220 Speaker 6: I was shocked by both the public nature of it, 722 00:42:12,650 --> 00:42:20,160 Speaker 6: though I've seen other public exchanges between, say, him and Grimes. 723 00:42:20,739 --> 00:42:21,080 Speaker 1: Right. 724 00:42:21,640 --> 00:42:29,000 Speaker 6: Famously, she was desperately posting on X asking, Elon to 725 00:42:29,040 --> 00:42:37,969 Speaker 6: bring their child back, you know, in desperation. So it's peculiar. 726 00:42:38,989 --> 00:42:39,250 Speaker 3: Yeah. 727 00:42:39,510 --> 00:42:42,930 Speaker 6: Definitely peculiar, but it's not the first time it happened. 728 00:42:42,969 --> 00:42:46,980 Speaker 6: And so, you know, it's as though Elon both lives 729 00:42:47,860 --> 00:42:52,120 Speaker 6: a private life, but also lives his private life on X, 730 00:42:52,440 --> 00:42:56,020 Speaker 6: as do some of the women he's been involved with. 731 00:42:56,060 --> 00:43:02,240 Speaker 6: It's a peculiar... It's a really kind of peculiar cyber 732 00:43:02,260 --> 00:43:04,400 Speaker 6: meme-like existence. 733 00:43:04,860 --> 00:43:10,640 Speaker 1: How influenced– and again, this is just a guess– but 734 00:43:10,719 --> 00:43:14,259 Speaker 1: how much do you think his behavior has changed over 735 00:43:14,340 --> 00:43:19,719 Speaker 1: the trajectory? I mean the film covers sort of from– early, 736 00:43:19,900 --> 00:43:22,660 Speaker 1: you know, it covers from his childhood to now, basically. 737 00:43:22,680 --> 00:43:25,259 Speaker 1: But how much do you think his behavior has changed? 738 00:43:25,820 --> 00:43:31,360 Speaker 1: Like he was secretly giving money to Republicans really since 739 00:43:31,430 --> 00:43:34,690 Speaker 1: the beginning through or not from the beginning, but he 740 00:43:34,730 --> 00:43:35,590 Speaker 1: had been giving. 741 00:43:35,890 --> 00:43:38,670 Speaker 6: Really, it started big time around 2022. I mean, to 742 00:43:38,690 --> 00:43:42,850 Speaker 6: some extent, you know, something broke in his brain during COVID. 743 00:43:42,890 --> 00:43:46,620 Speaker 6: I think that's true. But I also think that in 744 00:43:46,680 --> 00:43:52,220 Speaker 6: part because California tried to put constraints on him relating 745 00:43:52,280 --> 00:43:55,450 Speaker 6: to protecting his workers at the factory, and he wanted 746 00:43:55,489 --> 00:43:59,450 Speaker 6: them to go full speed ahead. But I also think 747 00:43:59,469 --> 00:44:05,230 Speaker 6: it's a case of certain elements of his character becoming 748 00:44:05,330 --> 00:44:10,330 Speaker 6: more and more exaggerated the more power he obtained and 749 00:44:10,570 --> 00:44:14,339 Speaker 6: the fewer constraints he was willing to countenance. You know, 750 00:44:14,380 --> 00:44:17,180 Speaker 6: because Justine does talk about, you know, she talks very 751 00:44:17,219 --> 00:44:20,819 Speaker 6: movingly about how they would sit alone. They would sit 752 00:44:20,860 --> 00:44:23,980 Speaker 6: together in a coffee house and they would read silently 753 00:44:24,320 --> 00:44:27,600 Speaker 6: and just each other's company, how much she treasured that 754 00:44:28,940 --> 00:44:30,779 Speaker 6: and also talk about how much fun they used to have. 755 00:44:30,800 --> 00:44:34,160 Speaker 6: At the same time, she also talked about how he would, 756 00:44:34,600 --> 00:44:39,400 Speaker 6: you know, go into these rants and rages and diminish 757 00:44:39,420 --> 00:44:42,400 Speaker 6: her in ways that she found very unpleasant and also 758 00:44:42,460 --> 00:44:44,799 Speaker 6: gas lit her. In a way, you didn't really even 759 00:44:44,900 --> 00:44:48,980 Speaker 6: know about gaslighting until coming in contact with Elon, where 760 00:44:49,000 --> 00:44:51,660 Speaker 6: you were trying to take a fictional world and impose 761 00:44:51,739 --> 00:44:56,780 Speaker 6: that on somebody else, which is a very narcissistic trait. 762 00:44:57,239 --> 00:45:00,920 Speaker 6: I think some of the worst traits of Elon were exploded, 763 00:45:01,100 --> 00:45:05,160 Speaker 6: both by his power, his fame, and I think possibly 764 00:45:05,200 --> 00:45:10,060 Speaker 6: his drug use, but also his engagement. on Twitter, which 765 00:45:10,120 --> 00:45:12,790 Speaker 6: became a commercial mechanism for him at first and a 766 00:45:12,810 --> 00:45:16,890 Speaker 6: very effective one. But over time became a kind of 767 00:45:18,050 --> 00:45:20,890 Speaker 6: place of rage addiction, which is, of course, how he 768 00:45:20,969 --> 00:45:23,310 Speaker 6: then designs the platform once he buys it. 769 00:45:23,550 --> 00:45:28,540 Speaker 1: Do you think I thought the stuff about his daughter? 770 00:45:28,980 --> 00:45:29,200 Speaker 6: Yes. 771 00:45:29,910 --> 00:45:35,770 Speaker 1: Was very moving, that Justine was able to advocate for her, 772 00:45:36,650 --> 00:45:41,130 Speaker 1: but she couldn't really explain how. And I don't want 773 00:45:41,150 --> 00:45:43,210 Speaker 1: to know anything that gets anyone into any trouble, but 774 00:45:43,750 --> 00:45:48,690 Speaker 1: I wondered if you could talk about what his relationship 775 00:45:48,770 --> 00:45:52,150 Speaker 1: is with daughters. Part of it is he has this.... 776 00:45:57,600 --> 00:45:59,820 Speaker 6: Part of it is his transphobia. I mean, he says 777 00:46:00,219 --> 00:46:05,640 Speaker 6: his son Xavier died. He plays off of dead naming 778 00:46:06,080 --> 00:46:11,490 Speaker 6: and then says, my son Xavier is dead. Well, Vivian 779 00:46:11,550 --> 00:46:15,469 Speaker 6: Jenna Wilson is not dead. She's very much alive. She's charming, 780 00:46:15,950 --> 00:46:22,890 Speaker 6: full of beans, intelligent, and always determined to go her 781 00:46:22,950 --> 00:46:28,320 Speaker 6: own way. So very much alive. And she has a 782 00:46:28,340 --> 00:46:32,000 Speaker 6: great relationship with her mom, but somehow because she did 783 00:46:32,140 --> 00:46:35,440 Speaker 6: something that Elon didn't like, he saw that as dying 784 00:46:35,520 --> 00:46:39,780 Speaker 6: as opposed to, as Justine movingly describes in the film, 785 00:46:40,420 --> 00:46:43,100 Speaker 6: you know, an adolescent growing up and deciding who she's 786 00:46:43,140 --> 00:46:46,299 Speaker 6: going to be as an adult. And that part he 787 00:46:46,340 --> 00:46:49,989 Speaker 6: seemed incapable of handling. Like she disobeyed him in a 788 00:46:50,350 --> 00:46:53,890 Speaker 6: fundamental way rather than engaging in who his child is. 789 00:46:55,260 --> 00:46:59,319 Speaker 6: and trying to come to some reckoning and understanding and 790 00:46:59,360 --> 00:47:03,520 Speaker 6: also some appreciation that inevitably all children go away from 791 00:47:03,540 --> 00:47:06,440 Speaker 6: their parents to some extent. Hope because you love them 792 00:47:06,820 --> 00:47:11,120 Speaker 6: that you'll have a new kind of relationship. But, you know, 793 00:47:11,580 --> 00:47:15,880 Speaker 6: he was never able to forgive that. And there's something 794 00:47:16,300 --> 00:47:19,220 Speaker 6: that Justine says in the film, which, you know, he 795 00:47:19,320 --> 00:47:25,319 Speaker 6: sends a message to Jenna via Justine saying, you know, 796 00:47:25,400 --> 00:47:29,589 Speaker 6: tell her I'll always love her. Yeah. And the next 797 00:47:29,650 --> 00:47:31,230 Speaker 6: day he cancels her health insurance. 798 00:47:31,890 --> 00:47:32,690 Speaker 1: I mean. 799 00:47:33,610 --> 00:47:37,529 Speaker 6: That's hard to really even, you know, as a parent. Yeah. 800 00:47:38,270 --> 00:47:40,520 Speaker 6: It's really hard to grok, to. 801 00:47:40,530 --> 00:47:40,970 Speaker 2: Use that phrase. 802 00:47:41,050 --> 00:47:44,700 Speaker 1: It is very hard to grok. What do you think, 803 00:47:45,120 --> 00:47:48,700 Speaker 1: how many children do you think, like one of the 804 00:47:48,920 --> 00:47:53,200 Speaker 1: parts of the movie that I think is really important and... 805 00:47:53,780 --> 00:47:58,420 Speaker 1: explained in a really smart way is that at every 806 00:47:58,620 --> 00:48:04,800 Speaker 1: point there is a There seems to be an NDA 807 00:48:04,840 --> 00:48:08,379 Speaker 1: and a check And that seems to be like pretty 808 00:48:08,400 --> 00:48:09,540 Speaker 1: much how he handles things. 809 00:48:09,880 --> 00:48:12,739 Speaker 6: Yeah, and and and what we don't know I mean 810 00:48:13,160 --> 00:48:16,560 Speaker 6: the we know of 14 children. We know that he 811 00:48:16,640 --> 00:48:21,520 Speaker 6: calls his many children his legion And that some of 812 00:48:21,560 --> 00:48:24,910 Speaker 6: those children are not children, you know, out of any 813 00:48:24,969 --> 00:48:28,750 Speaker 6: sexual relationship. He literally sends sperm and NDA and a 814 00:48:28,770 --> 00:48:32,210 Speaker 6: financial contract. Sometimes the people who reach out to him 815 00:48:32,390 --> 00:48:36,330 Speaker 6: on X or people he reaches out to. The thinking is, 816 00:48:36,570 --> 00:48:38,840 Speaker 6: and other people have said, that there are many more 817 00:48:39,030 --> 00:48:42,339 Speaker 6: than 14. So we should, you know, I don't know 818 00:48:42,400 --> 00:48:45,620 Speaker 6: for sure, but I would guess that it's in the 20s, maybe, 819 00:48:45,660 --> 00:48:53,359 Speaker 6: or 30. I don't know. But given the pattern, it's... Yeah, 820 00:48:53,500 --> 00:48:58,839 Speaker 6: it's imaginable, easily imaginable. This idea that along with it is, 821 00:48:59,940 --> 00:49:04,319 Speaker 6: it's almost like a, well, what was it? Ashley St. 822 00:49:04,360 --> 00:49:06,770 Speaker 6: Clair says she calls it a gatling gun of sperm. 823 00:49:07,070 --> 00:49:12,089 Speaker 6: There's something almost like prosecuting a war, and he uses 824 00:49:12,110 --> 00:49:13,050 Speaker 6: the term legion. 825 00:49:13,150 --> 00:49:13,630 Speaker 2: It's like. 826 00:49:15,650 --> 00:49:19,029 Speaker 6: He's like Saruman producing the Uruk-hai, you know? 827 00:49:20,410 --> 00:49:21,150 Speaker 2: It's weird. 828 00:49:21,489 --> 00:49:25,330 Speaker 6: And part of the NDA with Ashley St. Clair was 829 00:49:25,390 --> 00:49:29,550 Speaker 6: that neither she, if she had signed the financial contract 830 00:49:29,640 --> 00:49:35,279 Speaker 6: and the NDA, neither she nor their son could ever 831 00:49:35,380 --> 00:49:37,520 Speaker 6: say that Elon Musk was the father. But it was 832 00:49:37,560 --> 00:49:39,819 Speaker 6: important to Elon to know that It was out there. 833 00:49:40,060 --> 00:49:43,080 Speaker 6: So what kind of parent is that? I mean, it's 834 00:49:43,120 --> 00:49:45,700 Speaker 6: a whole different way of thinking. It's just like, I 835 00:49:45,760 --> 00:49:49,080 Speaker 6: need to spread my seed because I am so rich 836 00:49:49,140 --> 00:49:52,049 Speaker 6: and powerful that more of me needs to be in 837 00:49:52,090 --> 00:49:52,650 Speaker 6: the universe. 838 00:49:52,950 --> 00:49:56,790 Speaker 1: Was there anyone who was really critical in Elon world 839 00:49:56,810 --> 00:49:58,090 Speaker 1: who you thought you were going to be able to 840 00:49:58,130 --> 00:49:58,910 Speaker 1: get who you couldn't? 841 00:49:59,330 --> 00:50:00,830 Speaker 6: I mean, there were a lot of people I wanted 842 00:50:00,850 --> 00:50:02,390 Speaker 6: to talk to. And there were a number of people 843 00:50:03,250 --> 00:50:04,910 Speaker 6: I did talk to on background. 844 00:50:05,180 --> 00:50:05,620 Speaker 4: Right. 845 00:50:07,880 --> 00:50:10,620 Speaker 6: So but a lot of people very close to Elon 846 00:50:10,650 --> 00:50:13,950 Speaker 6: were not given permission by Elon to talk. It was 847 00:50:14,010 --> 00:50:14,989 Speaker 6: also interesting to me. 848 00:50:15,010 --> 00:50:16,390 Speaker 2: I did. 849 00:50:16,410 --> 00:50:18,590 Speaker 6: I can't say who it was, but it was a 850 00:50:18,610 --> 00:50:22,339 Speaker 6: very powerful VC investor who I talked to on background. 851 00:50:23,540 --> 00:50:26,000 Speaker 6: And I said, OK, let's boil it down. I mean, 852 00:50:26,040 --> 00:50:30,380 Speaker 6: if you had to to make one particular comment about 853 00:50:30,500 --> 00:50:32,930 Speaker 6: Elon Musk, what would it be? And he said he 854 00:50:32,969 --> 00:50:35,529 Speaker 6: was one of the most miserable men I've ever met. 855 00:50:36,040 --> 00:50:39,290 Speaker 6: In other words, he lives his life in misery. He's 856 00:50:39,370 --> 00:50:42,250 Speaker 6: not a happy man. And of course, his mother, you know, 857 00:50:42,270 --> 00:50:44,910 Speaker 6: I said that in some interview or something, and his 858 00:50:44,950 --> 00:50:47,149 Speaker 6: mother came right out and said, I've always found Elon 859 00:50:47,170 --> 00:50:51,879 Speaker 6: to be extremely happy, you know, but I think that 860 00:50:52,260 --> 00:50:56,120 Speaker 6: it comes across like there's this pain and agony that 861 00:50:56,160 --> 00:50:59,339 Speaker 6: he wears, you know, not unlike Trump, you know, some 862 00:51:00,300 --> 00:51:05,620 Speaker 6: childhood hurt that he's now, uh, inflicting on the rest 863 00:51:05,660 --> 00:51:05,900 Speaker 6: of us. 864 00:51:06,520 --> 00:51:08,990 Speaker 1: Alex Gibney, thank you. 865 00:51:09,530 --> 00:51:11,049 Speaker 6: Molly, always great to talk to you. 866 00:51:12,930 --> 00:51:15,730 Speaker 2: And now your moment of suffering. 867 00:51:16,730 --> 00:51:17,790 Speaker 1: Jesse Cannon. 868 00:51:18,650 --> 00:51:22,310 Speaker 2: So Molly, you know what the people long for? More robocalls. 869 00:51:22,410 --> 00:51:24,820 Speaker 7: And that's why Brendan Carr of the FCC is thinking 870 00:51:24,880 --> 00:51:28,320 Speaker 7: about allowing more of them to happen before the midterms, 871 00:51:28,400 --> 00:51:29,719 Speaker 7: including those created with AI. 872 00:51:30,530 --> 00:51:33,270 Speaker 1: Yeah, because the only thing I like better than phone 873 00:51:33,310 --> 00:51:38,739 Speaker 1: calls is phone calls from non-existent people. Brendan Carr, you'll 874 00:51:38,760 --> 00:51:44,660 Speaker 1: remember Brendan Carr as basically being just another Trump lackey. Fine. 875 00:51:46,130 --> 00:51:48,790 Speaker 1: Have AI call me. I won't pick that up either. 876 00:51:49,670 --> 00:51:54,069 Speaker 1: That's it for this episode of Fast Politics. Tune in 877 00:51:54,450 --> 00:51:59,800 Speaker 1: every Monday, Wednesday, Thursday, and Saturday to hear the best 878 00:51:59,880 --> 00:52:04,200 Speaker 1: minds in politics make sense of all this chaos. If 879 00:52:04,239 --> 00:52:07,320 Speaker 1: you enjoy this podcast, please send it to a friend 880 00:52:07,800 --> 00:52:10,950 Speaker 1: and keep the conversation going. Thanks for listening.