1 00:00:00,600 --> 00:00:04,120 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 --> 00:00:10,479 Speaker 1: today's best minds. And it seems like the aliens won't 4 00:00:10,480 --> 00:00:14,120 Speaker 1: be rescuing us from the Republican Party yet. We have 5 00:00:14,320 --> 00:00:18,640 Speaker 1: a fantastic show. Today. Representative Katie Porter will make her 6 00:00:18,720 --> 00:00:21,200 Speaker 1: case on why she is the candidate who should have 7 00:00:21,239 --> 00:00:24,160 Speaker 1: your support in her run for the California Senate. Then 8 00:00:24,200 --> 00:00:28,080 Speaker 1: we'll talk to coin desks Ben Schiller about the latest 9 00:00:28,120 --> 00:00:31,040 Speaker 1: news in crypto. But first we have the host of 10 00:00:31,320 --> 00:00:37,000 Speaker 1: the Time of Monsters, the Nation's GT here. Welcome to 11 00:00:37,440 --> 00:00:41,400 Speaker 1: Fast Politics. GT Here. It's always good to be here. 12 00:00:41,640 --> 00:00:45,400 Speaker 1: You're a fan favorite and I'm so delighted to have 13 00:00:45,600 --> 00:00:50,800 Speaker 1: you here. I wanted to talk to you first about aliens. 14 00:00:50,880 --> 00:00:55,800 Speaker 1: They're real and they're mad. He would be very ironic 15 00:00:55,880 --> 00:00:58,040 Speaker 1: if the end of the human species came a vote, 16 00:00:58,360 --> 00:01:02,200 Speaker 1: because the Republican has decided to make a big stink 17 00:01:02,240 --> 00:01:05,720 Speaker 1: about Chinese weather balloon that went off track, and this 18 00:01:05,840 --> 00:01:08,880 Speaker 1: led Biden and Justin Trudeau to lons of war against 19 00:01:09,040 --> 00:01:12,000 Speaker 1: space aliens, and they retaliated by just bring the planet that. 20 00:01:12,360 --> 00:01:14,800 Speaker 1: I have to admit that's something I'm hoping for. But 21 00:01:14,880 --> 00:01:18,120 Speaker 1: that would be a funny turn of events. I see 22 00:01:18,160 --> 00:01:20,280 Speaker 1: this as like a way it could go down. So 23 00:01:20,360 --> 00:01:22,399 Speaker 1: I want to talk to you about the aliens and 24 00:01:22,440 --> 00:01:24,120 Speaker 1: the space blends. No, I actually want to talk to 25 00:01:24,160 --> 00:01:26,360 Speaker 1: you about what's really going on in life, which is 26 00:01:26,560 --> 00:01:29,360 Speaker 1: and not even life politics, because we know that's really 27 00:01:29,400 --> 00:01:33,720 Speaker 1: not life. Here we are, we are in this crazy 28 00:01:33,720 --> 00:01:38,400 Speaker 1: period in American life, the run up to the twenty 29 00:01:38,480 --> 00:01:41,720 Speaker 1: four election, which basically starts the day after the midterms 30 00:01:41,720 --> 00:01:44,520 Speaker 1: are over. I don't know if you read Political Playbook 31 00:01:44,600 --> 00:01:51,800 Speaker 1: this morning. I did. Republicans are embracing authoritarianism like you 32 00:01:51,840 --> 00:01:55,400 Speaker 1: can't fucking believe. Discuss yeah, I know. I mean if 33 00:01:55,480 --> 00:01:57,720 Speaker 1: you look at the true front runners are you know, 34 00:01:57,800 --> 00:02:01,640 Speaker 1: Donald Trump, who's like calling for a firing squads against 35 00:02:01,680 --> 00:02:05,160 Speaker 1: criminals and basically following the path of direct he in 36 00:02:05,440 --> 00:02:08,720 Speaker 1: the Philippines, and Rhonda Santis, who's offering a kind of 37 00:02:09,000 --> 00:02:12,320 Speaker 1: you know, while I'm the competent Trump put the fun 38 00:02:12,400 --> 00:02:16,480 Speaker 1: and fascism, Yeah, really take books out of your libraries 39 00:02:16,600 --> 00:02:22,000 Speaker 1: and smash teachers and make life very painful for LGBT people. 40 00:02:22,040 --> 00:02:24,119 Speaker 1: I mean, like obviously, yeah, I mean the two front 41 00:02:24,200 --> 00:02:27,840 Speaker 1: runners are both offering a form of authoritarianism. Yeah, so, 42 00:02:27,919 --> 00:02:30,840 Speaker 1: I mean, and then it's clear that's where the party wants. 43 00:02:30,880 --> 00:02:34,160 Speaker 1: And it's interesting why the party elite has settled on 44 00:02:34,200 --> 00:02:36,720 Speaker 1: the Santis, like they really seem to think he's their 45 00:02:36,760 --> 00:02:40,760 Speaker 1: answer to Trump. And it's because they understandand that their 46 00:02:40,800 --> 00:02:45,160 Speaker 1: base wants some sort of strong man who's very cruel 47 00:02:45,520 --> 00:02:48,640 Speaker 1: and punishes the enemies, and they think that the Santis 48 00:02:48,639 --> 00:02:51,359 Speaker 1: can offer that and also be a little bit more 49 00:02:51,400 --> 00:02:54,360 Speaker 1: stable or a little bit more pliable than Trump. Not 50 00:02:54,400 --> 00:02:56,880 Speaker 1: a good situation, yeah, I mean, I just wrote a 51 00:02:56,880 --> 00:03:00,600 Speaker 1: piece about this, that the Santis is really being covered 52 00:03:01,000 --> 00:03:04,200 Speaker 1: as a normal Republican candidate when he's really not. Yeah, 53 00:03:04,200 --> 00:03:06,799 Speaker 1: I know, there's all sorts of efforts to normalize him, 54 00:03:06,800 --> 00:03:09,520 Speaker 1: and it's coming from both he has a lot of 55 00:03:09,560 --> 00:03:12,320 Speaker 1: like what I would call the institution of Republicans and 56 00:03:12,360 --> 00:03:17,280 Speaker 1: the mainstream people National Review, Fox News. But also, and 57 00:03:17,400 --> 00:03:20,400 Speaker 1: I think it's very crucial, a lot of centrist people 58 00:03:20,400 --> 00:03:23,639 Speaker 1: who aren't wouldn't say they're Republicans, but they want that 59 00:03:23,760 --> 00:03:26,040 Speaker 1: kind of what they see as a return to normality. 60 00:03:26,080 --> 00:03:28,639 Speaker 1: So they want a Republican party they think they can 61 00:03:28,680 --> 00:03:31,959 Speaker 1: work with, and they are also really whitewashing descentists, and 62 00:03:31,960 --> 00:03:33,280 Speaker 1: I see that. I think you can see that a 63 00:03:33,280 --> 00:03:36,360 Speaker 1: lot of the coverage of descentists in the mainstream press. 64 00:03:36,440 --> 00:03:40,400 Speaker 1: I'll just reference Pamela Paul We can talk about for 65 00:03:40,480 --> 00:03:42,760 Speaker 1: a number of reasons, but he just had a before 66 00:03:42,760 --> 00:03:45,760 Speaker 1: her latest terrible column in defense of J. K. Rowling, 67 00:03:46,120 --> 00:03:49,800 Speaker 1: she had another terrible column. You know what liberals can 68 00:03:49,880 --> 00:03:54,640 Speaker 1: learn from Rhonda Santis basically whitewashing his reputation. I think 69 00:03:54,640 --> 00:03:57,200 Speaker 1: there's a you know, because people who have like a 70 00:03:57,280 --> 00:04:00,440 Speaker 1: kind of really personal view of politics and see Trump 71 00:04:00,480 --> 00:04:04,800 Speaker 1: has being bad because he's a vulgar criminal, all right, 72 00:04:04,960 --> 00:04:10,320 Speaker 1: and not because he ignores democracy, not because of his policies. Yeah, 73 00:04:10,320 --> 00:04:13,120 Speaker 1: they're all settling on you know, Ronda Santis, and as 74 00:04:13,120 --> 00:04:19,680 Speaker 1: I said, that doesn't extends well outside of the mainstream establishment. Republicans' 75 00:04:19,680 --> 00:04:22,360 Speaker 1: is a real effort. I mean, honestly, I'm not I 76 00:04:22,720 --> 00:04:24,320 Speaker 1: could work. I don't know, I don't I don't know 77 00:04:24,320 --> 00:04:26,520 Speaker 1: if de Santis has the juice. I think that if 78 00:04:26,520 --> 00:04:29,320 Speaker 1: you're really into meat, why would you take like a 79 00:04:29,440 --> 00:04:32,360 Speaker 1: veggie burger when you could get the real meat? You know, 80 00:04:32,400 --> 00:04:34,840 Speaker 1: like Trump is out there, you know, calling for people 81 00:04:34,960 --> 00:04:38,720 Speaker 1: to be executed by firing squad. Why would you? And 82 00:04:38,880 --> 00:04:40,680 Speaker 1: you see this in the fact that like none of 83 00:04:40,839 --> 00:04:43,680 Speaker 1: the so called challengers that Trump are willing to take 84 00:04:43,760 --> 00:04:46,520 Speaker 1: him on like that. You ask like de Santis or 85 00:04:46,960 --> 00:04:50,440 Speaker 1: Nicky Haley about Trump and they'll say, well, you know, 86 00:04:50,640 --> 00:04:53,160 Speaker 1: like he was a great president and he's very badly 87 00:04:53,200 --> 00:04:56,240 Speaker 1: treated and I don't want to fight another Republican. And 88 00:04:56,279 --> 00:05:02,120 Speaker 1: then you have Trump going like meat fall Ron to 89 00:05:02,960 --> 00:05:06,320 Speaker 1: all of my Italian American friends, nothing but respect. And 90 00:05:06,640 --> 00:05:10,000 Speaker 1: I understand the offensiveness of this, but it is also 91 00:05:10,080 --> 00:05:13,960 Speaker 1: very funny. Yeah, no, no, I mean the man is 92 00:05:14,160 --> 00:05:17,719 Speaker 1: very good and what he does when it comes to nicknames. 93 00:05:17,760 --> 00:05:22,479 Speaker 1: He is bad and evil when it comes to everything else. Sure, yeah, 94 00:05:22,520 --> 00:05:24,880 Speaker 1: but but the nicknames, I mean like the power dynamic, right, 95 00:05:25,000 --> 00:05:28,240 Speaker 1: like and think about it in school. Who has the power? 96 00:05:28,279 --> 00:05:31,240 Speaker 1: It's the bully that can, like you know, impose nicknames 97 00:05:31,240 --> 00:05:34,520 Speaker 1: on people. And who is like, you know, the second 98 00:05:34,560 --> 00:05:36,960 Speaker 1: in command. It's the people who allow themselves to be 99 00:05:37,080 --> 00:05:39,720 Speaker 1: nicknamed and bullied. And you know we see that like 100 00:05:39,720 --> 00:05:42,320 Speaker 1: with Trump Ley not to the meat fall the Santas. 101 00:05:42,360 --> 00:05:43,720 Speaker 1: But you know, like you know, yes, this is you know, 102 00:05:43,880 --> 00:05:49,839 Speaker 1: rufically racist attacks on Mitch mcconnald's wife. McConnell is like, well, 103 00:05:49,880 --> 00:05:52,000 Speaker 1: you know, I think we should be talking about the 104 00:05:52,040 --> 00:05:55,360 Speaker 1: issues that matter to the American public, like and then 105 00:05:55,400 --> 00:05:58,400 Speaker 1: going back to like Trump's attacks on Ted Cruise's wife, 106 00:05:58,400 --> 00:06:01,920 Speaker 1: like the purpose of these attacks the show Who's boss 107 00:06:02,040 --> 00:06:05,560 Speaker 1: and who cowers and lives in fear? And I have 108 00:06:05,680 --> 00:06:08,160 Speaker 1: to say, you know, you're looking at the Replican primary 109 00:06:08,240 --> 00:06:11,760 Speaker 1: so far, like you know, neither the Sentist nor Haley 110 00:06:11,839 --> 00:06:15,640 Speaker 1: nor Pence, you know who like Trumps like basically inside 111 00:06:15,640 --> 00:06:17,520 Speaker 1: of the Bob to kill, like none of them are 112 00:06:17,520 --> 00:06:21,039 Speaker 1: willing to, like, you know, like say anything deeply critical 113 00:06:21,080 --> 00:06:23,719 Speaker 1: of Trump. Yeah, exactly. And I mean I think that 114 00:06:24,040 --> 00:06:27,799 Speaker 1: if we find ourselves in this insane position right where 115 00:06:28,240 --> 00:06:34,200 Speaker 1: you have these Republicans who are completely terrified of Trump 116 00:06:34,360 --> 00:06:36,720 Speaker 1: because they don't want me and tweets, I want to 117 00:06:36,760 --> 00:06:40,160 Speaker 1: go back to this uh pla book issue that I 118 00:06:40,240 --> 00:06:44,080 Speaker 1: read this morning newsletter, um, where they were, you know, 119 00:06:44,240 --> 00:06:49,360 Speaker 1: quietly Democrats wonder if Joe Biden is too old. And 120 00:06:49,680 --> 00:06:51,640 Speaker 1: someone sent this to me, Someone in the business sent 121 00:06:51,760 --> 00:06:54,080 Speaker 1: me this and was like, oh my god, Democrats don't 122 00:06:54,120 --> 00:06:56,599 Speaker 1: have a base. What are we? What are we? What 123 00:06:56,680 --> 00:06:59,800 Speaker 1: are Democrats going to do? Oh my god, Oh my god, 124 00:06:59,800 --> 00:07:02,400 Speaker 1: I'm god. And I thought about this for a minute. 125 00:07:02,400 --> 00:07:06,320 Speaker 1: And look, one of Joe Biden's great genius things is 126 00:07:06,360 --> 00:07:11,960 Speaker 1: that at every point people have been like, but you know, ultimately, 127 00:07:12,120 --> 00:07:15,320 Speaker 1: and again at every point people have been like, but 128 00:07:15,520 --> 00:07:20,240 Speaker 1: ultimately he won the mid terms, and he had like 129 00:07:20,520 --> 00:07:25,160 Speaker 1: brilliant political instincts, right, he went against he said Republicans 130 00:07:25,160 --> 00:07:28,200 Speaker 1: are against democracy, and he went and gave all these 131 00:07:28,240 --> 00:07:31,120 Speaker 1: speeches and the mainstream media was like, man, who cares? 132 00:07:31,760 --> 00:07:34,360 Speaker 1: And it was the winning issue for him. Yeah, No, 133 00:07:34,480 --> 00:07:36,520 Speaker 1: that's right. Yeah, I mean, I mean, I can't think 134 00:07:36,560 --> 00:07:39,160 Speaker 1: any of these things. Seriously, there's no one of any 135 00:07:39,160 --> 00:07:41,840 Speaker 1: statue in the Democratic Party who's going to challenge Joe 136 00:07:41,880 --> 00:07:44,360 Speaker 1: Biden in the primaries. You know, I've done a little 137 00:07:44,360 --> 00:07:46,360 Speaker 1: bit of partying on this myself, and there's a lot 138 00:07:46,400 --> 00:07:49,000 Speaker 1: of other people have done more reporting. And so who 139 00:07:49,040 --> 00:07:52,040 Speaker 1: are these Democrats that don't want Joe Biden to run again? 140 00:07:52,080 --> 00:07:55,000 Speaker 1: If no one is going to challenge him in the primaries. 141 00:07:55,160 --> 00:07:57,280 Speaker 1: But beyond that, I mean, like he has been a 142 00:07:57,360 --> 00:08:01,600 Speaker 1: very successful president and especially the mid years. I mean basically, like, 143 00:08:01,720 --> 00:08:05,240 Speaker 1: you know, the best kind of midterms for the Democrats 144 00:08:05,320 --> 00:08:07,360 Speaker 1: going back, depending on how you look at it, either 145 00:08:07,400 --> 00:08:10,960 Speaker 1: to nineteen sixty two or really to like nineteen thirty four. 146 00:08:11,280 --> 00:08:13,400 Speaker 1: So and beyond that, I mean, I think that they're real, 147 00:08:13,720 --> 00:08:16,200 Speaker 1: you know, the whole age issue. I mean, like, you know, 148 00:08:16,280 --> 00:08:18,200 Speaker 1: like you just look at that state of the Union 149 00:08:18,240 --> 00:08:21,240 Speaker 1: and like he handled himself perfectly well and not only 150 00:08:21,280 --> 00:08:23,440 Speaker 1: have himself well, like you know, like it feels me 151 00:08:23,720 --> 00:08:26,360 Speaker 1: like after delivering an hour and a half speech, i'd say, 152 00:08:26,400 --> 00:08:28,040 Speaker 1: you know, time for a nap, and he spent like 153 00:08:28,040 --> 00:08:31,360 Speaker 1: another hour and a half just like hob nobbing with 154 00:08:31,440 --> 00:08:34,679 Speaker 1: the senators and members of Congress. To me, just feels 155 00:08:34,760 --> 00:08:36,840 Speaker 1: like a media thing more than anything else. I mean, 156 00:08:37,240 --> 00:08:38,920 Speaker 1: I will say, like, yeah, I'm not sure if there's 157 00:08:38,920 --> 00:08:42,880 Speaker 1: there's a groundswell of love for Biden as whatever, but 158 00:08:43,040 --> 00:08:44,959 Speaker 1: what you described as a genius is the fact that 159 00:08:45,200 --> 00:08:48,319 Speaker 1: he's very attuned to the party and he knows, you know, 160 00:08:48,360 --> 00:08:51,079 Speaker 1: where the party is at any given moment. As such, 161 00:08:51,080 --> 00:08:53,760 Speaker 1: he seems like a perfectly fine leader. Like I don't know, 162 00:08:53,840 --> 00:08:56,800 Speaker 1: I find all this stuff very hard to take seriously. Yeah, yeah, yeah. 163 00:08:57,000 --> 00:08:59,480 Speaker 1: This friend of mine was like, and Democrats have no 164 00:08:59,600 --> 00:09:02,160 Speaker 1: band because there's a lot of I don't know if 165 00:09:02,160 --> 00:09:04,760 Speaker 1: you know this about the Democratic Party, but it tends 166 00:09:04,800 --> 00:09:08,600 Speaker 1: to be a party that enjoys wringing its hands. Yeah, 167 00:09:08,840 --> 00:09:10,840 Speaker 1: the whole bench thing. I don't even know if that's 168 00:09:10,880 --> 00:09:13,760 Speaker 1: like true. I can think of quite a few people, 169 00:09:14,679 --> 00:09:17,240 Speaker 1: you know, starting with Whitmer, but a lot of the 170 00:09:17,280 --> 00:09:21,320 Speaker 1: candidates that ran in against Biden and lost, but you know, 171 00:09:21,640 --> 00:09:24,160 Speaker 1: did the very interesting things. You know, there's people I 172 00:09:24,160 --> 00:09:26,960 Speaker 1: don't even like, like Pete Buda Judge, but who seemed 173 00:09:26,960 --> 00:09:30,680 Speaker 1: to have like strong support among at least some faction 174 00:09:30,720 --> 00:09:32,920 Speaker 1: of the party. And the other thing is things are 175 00:09:32,960 --> 00:09:35,760 Speaker 1: so polarized that the thing with the Democrats is that 176 00:09:36,040 --> 00:09:38,720 Speaker 1: they will coal us around whoever the party leader is, 177 00:09:39,200 --> 00:09:41,920 Speaker 1: and the party leaders right now Biden, but whoever gets 178 00:09:41,920 --> 00:09:45,160 Speaker 1: the nomination, people coal ess around because the alternative is 179 00:09:45,559 --> 00:09:48,640 Speaker 1: like Trump or dissentist. So for both parties, I think 180 00:09:48,920 --> 00:09:51,280 Speaker 1: what we see is that like, look at all the 181 00:09:51,360 --> 00:09:53,840 Speaker 1: problems Trump had and all the flaws, and all the 182 00:09:53,840 --> 00:09:55,840 Speaker 1: people have to kind of hold their nose. But at 183 00:09:55,840 --> 00:09:57,120 Speaker 1: the end of the day, you know, when you're a 184 00:09:57,240 --> 00:10:03,720 Speaker 1: jet care jet all the way, m m m m, Yes, 185 00:10:03,880 --> 00:10:06,000 Speaker 1: when you're a jet you're a jet all the way. 186 00:10:06,360 --> 00:10:10,080 Speaker 1: I also think that we find ourselves in a world 187 00:10:10,080 --> 00:10:13,080 Speaker 1: where we have Nicky Haley just jumped into the race. 188 00:10:14,120 --> 00:10:17,200 Speaker 1: Actually got a d M from someone today that was like, 189 00:10:17,280 --> 00:10:20,920 Speaker 1: can you talk about Nicki Haley's candidacy. Okay, let's talk 190 00:10:22,360 --> 00:10:26,360 Speaker 1: Nicki Haley's candidacy. I feel like it's the perfect it's 191 00:10:26,400 --> 00:10:32,160 Speaker 1: like the perfect candidacy for UM two thousand and three. Yeah, no, 192 00:10:32,240 --> 00:10:35,120 Speaker 1: I I think that's right. Yeah. And Neil Haley can 193 00:10:35,200 --> 00:10:38,040 Speaker 1: run on some substantial things. She was a governor of 194 00:10:38,240 --> 00:10:42,000 Speaker 1: you know, South Carolina, and actually as governor a little 195 00:10:42,000 --> 00:10:45,079 Speaker 1: bit more moderate than what would expect from a Southern Democrat. 196 00:10:45,360 --> 00:10:47,120 Speaker 1: But having said that, I mean, what if you have 197 00:10:47,160 --> 00:10:49,240 Speaker 1: to look at what she's running on. She's running on 198 00:10:49,440 --> 00:10:52,680 Speaker 1: I will be your person of color friend, she said, 199 00:10:52,720 --> 00:10:55,000 Speaker 1: you know, like racism is in public in America, like 200 00:10:55,080 --> 00:10:59,319 Speaker 1: look at me. And Republicans love that sort of candidate, 201 00:10:59,559 --> 00:11:02,120 Speaker 1: but have ever like nominated them on a presidential level. 202 00:11:02,200 --> 00:11:07,640 Speaker 1: Every primary season you see someone who runs on that 203 00:11:07,960 --> 00:11:10,880 Speaker 1: is Herman Kane, Dr Vent Carson, you know again, who 204 00:11:10,920 --> 00:11:15,280 Speaker 1: had like even more than very impressive biography, impressive the year, 205 00:11:15,360 --> 00:11:17,680 Speaker 1: but I mean the whole point is like like the 206 00:11:17,720 --> 00:11:20,000 Speaker 1: idea that we know we're not racist, and then these 207 00:11:20,080 --> 00:11:23,320 Speaker 1: kind of specifically run on that, Yeah, it doesn't racism 208 00:11:23,320 --> 00:11:26,920 Speaker 1: doesn't exist. Is that? Yeah? Yeah, you know, like that's 209 00:11:26,960 --> 00:11:31,080 Speaker 1: an appealing message for a certain type of Republican But 210 00:11:31,280 --> 00:11:33,080 Speaker 1: in each of these cases, these are kind of who 211 00:11:33,280 --> 00:11:36,040 Speaker 1: often enjoy a bubble of support. All it took was 212 00:11:36,360 --> 00:11:39,040 Speaker 1: Trump to start talking about Ben Carson might have life 213 00:11:39,040 --> 00:11:42,640 Speaker 1: to somebody and was a very dangerous guy, and he 214 00:11:42,720 --> 00:11:44,560 Speaker 1: pulled it. He pulled it very quickly. And I you know, 215 00:11:44,600 --> 00:11:47,560 Speaker 1: like I'm just you know, speaking as a seek, I'm 216 00:11:47,559 --> 00:11:50,760 Speaker 1: not looking forward to whatever ethnic nickname that Donald Trump 217 00:11:50,800 --> 00:11:53,920 Speaker 1: comes up with, Nicky Healey. I can imagine several of them. 218 00:11:54,120 --> 00:11:57,280 Speaker 1: So that's a niche she's trying to fail. I think 219 00:11:57,280 --> 00:11:59,560 Speaker 1: it's a limited niche, and we've we've already seen that 220 00:11:59,720 --> 00:12:01,440 Speaker 1: at to the extent. Yeah, I mean, she's a kind 221 00:12:01,440 --> 00:12:05,440 Speaker 1: of Jeb Bush. You know that that faction of the party, 222 00:12:05,720 --> 00:12:08,760 Speaker 1: which we've already seen is weak. I don't see a future. 223 00:12:09,040 --> 00:12:12,520 Speaker 1: We would not be so worried about the Republican Party 224 00:12:12,800 --> 00:12:15,760 Speaker 1: if it were the kind of Republican party that nominated 225 00:12:15,840 --> 00:12:18,200 Speaker 1: Nicki Halett. That's right. The thing is, even if it 226 00:12:18,240 --> 00:12:21,439 Speaker 1: nominated her, she'd be then come under all the pressures 227 00:12:21,679 --> 00:12:24,960 Speaker 1: and we already see this like to actually get where 228 00:12:25,000 --> 00:12:28,439 Speaker 1: she wants to be. Her first campaign event was with 229 00:12:28,520 --> 00:12:31,520 Speaker 1: this preacher Haiggy, who's like, you know, like a really 230 00:12:31,559 --> 00:12:36,440 Speaker 1: awful like anti Semite and Bigett who said like all 231 00:12:36,480 --> 00:12:40,400 Speaker 1: the terrible things that that sort of fundamental licenseys. So, 232 00:12:40,760 --> 00:12:43,000 Speaker 1: I mean, the whole pitch would be that she can 233 00:12:43,040 --> 00:12:45,760 Speaker 1: appeal to more moderates when she gets the domination. But 234 00:12:45,800 --> 00:12:48,400 Speaker 1: to get to the nomination, she's gonna already you know, 235 00:12:48,480 --> 00:12:51,120 Speaker 1: she's already made all these compromises and she's not going 236 00:12:51,160 --> 00:12:54,280 Speaker 1: to get the domination. So so so I think the 237 00:12:54,280 --> 00:12:57,200 Speaker 1: whole thing is a fiasco from start to finish. Yeah, 238 00:12:57,240 --> 00:12:59,400 Speaker 1: it's a fiasco. And the other thing is that Trump 239 00:12:59,480 --> 00:13:03,960 Speaker 1: has has ruined any normal There's like one and again 240 00:13:04,200 --> 00:13:08,200 Speaker 1: normal needs to be in quotes because she's not particularly normal. 241 00:13:08,320 --> 00:13:13,280 Speaker 1: But there's like one Republican presidential candidate who hasn't been 242 00:13:13,679 --> 00:13:19,760 Speaker 1: completely sullied by the everything Trump touches dies law of physics, 243 00:13:19,880 --> 00:13:23,200 Speaker 1: and that is Liz Chaining. Yeah that's right, that's right, Yeah, 244 00:13:23,200 --> 00:13:26,280 Speaker 1: I know, who will not also get the nomination. If 245 00:13:26,280 --> 00:13:29,280 Speaker 1: she runs right, there's no world and when she she 246 00:13:29,320 --> 00:13:31,720 Speaker 1: couldn't even win her seat, you know, I mean, unless 247 00:13:31,720 --> 00:13:36,040 Speaker 1: there's something where the Santis and Trump cancel each other out. 248 00:13:36,080 --> 00:13:38,880 Speaker 1: But I just don't even see that. Trump is already 249 00:13:38,880 --> 00:13:41,640 Speaker 1: called to meet ball Ron. Yeah, no, no, I I 250 00:13:42,440 --> 00:13:45,320 Speaker 1: think that's right outside with NICKI I'll make a prediction 251 00:13:45,679 --> 00:13:48,120 Speaker 1: she won't even get enough votes that Trump will feel 252 00:13:48,160 --> 00:13:49,920 Speaker 1: the need to come up with a nickname for her. 253 00:13:51,200 --> 00:13:54,800 Speaker 1: Oh that makes me slightly sad. Yeah, so she won't 254 00:13:54,800 --> 00:13:57,000 Speaker 1: even get a nickname out of this. Yeah, that is 255 00:13:57,040 --> 00:14:01,640 Speaker 1: the worst possible. If you can't even get nickname, then 256 00:14:01,720 --> 00:14:03,920 Speaker 1: you have a lot of trouble. What else are you 257 00:14:04,040 --> 00:14:07,360 Speaker 1: seeing in our political landscape? Right now? Biden is going 258 00:14:07,440 --> 00:14:11,680 Speaker 1: to talk about the aliens today, Republicans continue to desperately 259 00:14:11,760 --> 00:14:16,640 Speaker 1: try to make content for Fox News. Is there anything 260 00:14:16,640 --> 00:14:19,200 Speaker 1: else on your landscape? Well? Yeah, I think we should 261 00:14:19,280 --> 00:14:22,760 Speaker 1: mention like the situation in Ohio with the train rack 262 00:14:23,000 --> 00:14:25,800 Speaker 1: and well, first of all, the sort of really terrible 263 00:14:25,800 --> 00:14:29,520 Speaker 1: exploitation of this by Republicans who are doing two kinds 264 00:14:29,520 --> 00:14:31,960 Speaker 1: of things, one of which is to make this into 265 00:14:32,080 --> 00:14:34,760 Speaker 1: a white genocide narrative, saying like well, nobody's covering this, 266 00:14:35,080 --> 00:14:38,120 Speaker 1: and they're covering stuff up because it's white, working class 267 00:14:38,120 --> 00:14:41,240 Speaker 1: Trump supporters. I'll say the politics of this, which is 268 00:14:41,280 --> 00:14:44,000 Speaker 1: I think that this has led there's a certain class 269 00:14:44,120 --> 00:14:49,040 Speaker 1: of democratic pundits and commentators and online personalities who have 270 00:14:49,320 --> 00:14:52,720 Speaker 1: decided to respond to this by simply saying, well, there's 271 00:14:52,760 --> 00:14:55,280 Speaker 1: nothing to see here, you know, like this is unfair 272 00:14:55,320 --> 00:14:57,960 Speaker 1: to pee Buddha judge and there's not much he could 273 00:14:57,960 --> 00:15:02,200 Speaker 1: do anyways. And I obviously think that's the wrong approach. 274 00:15:02,520 --> 00:15:05,640 Speaker 1: I mean, they're real issues with train safety, with deregulation, 275 00:15:06,040 --> 00:15:07,960 Speaker 1: with the fact that you know, like this company is 276 00:15:08,000 --> 00:15:10,720 Speaker 1: behaving terrible. I mean they offered, you know, like five 277 00:15:10,720 --> 00:15:13,880 Speaker 1: thousand people, they offered twenty five dollars, which is five 278 00:15:13,920 --> 00:15:17,960 Speaker 1: dollars per resident who are being evacuated. And there's much 279 00:15:17,960 --> 00:15:20,160 Speaker 1: more that could be done and should be done. And 280 00:15:20,200 --> 00:15:22,520 Speaker 1: I think the more proper approach we're seeing this from 281 00:15:22,520 --> 00:15:25,680 Speaker 1: Shared Brown and but also from Eliane Omar, is to 282 00:15:25,800 --> 00:15:28,960 Speaker 1: call for congressional investigations to look into this, because, I mean, 283 00:15:29,160 --> 00:15:31,920 Speaker 1: on the one hand, one shouldn't engage in fearmongering. On 284 00:15:31,960 --> 00:15:34,960 Speaker 1: the other hand, this is an environmental disaster already, like 285 00:15:35,040 --> 00:15:37,040 Speaker 1: you know, the water is being affected in animal life 286 00:15:37,080 --> 00:15:39,600 Speaker 1: is being affected. And I don't think that one should 287 00:15:39,640 --> 00:15:42,920 Speaker 1: simply take the word of the company that causes disaster 288 00:15:43,360 --> 00:15:46,960 Speaker 1: that all is Hunky Dorrian. Right, Yes, those are not 289 00:15:47,040 --> 00:15:50,880 Speaker 1: the people to go to. Yes, yeah, trains like they're 290 00:15:51,000 --> 00:15:54,080 Speaker 1: virtual monopoly, like you can't actually have competing train lines, 291 00:15:54,440 --> 00:15:57,800 Speaker 1: and so therefore they have to be regulated. And there's 292 00:15:57,800 --> 00:15:59,880 Speaker 1: a real issue. And I think Trump has a lot 293 00:16:00,080 --> 00:16:02,600 Speaker 1: blame here, but not just Trump in terms of like 294 00:16:02,680 --> 00:16:06,600 Speaker 1: how the training industrsement de regulate it is. So I 295 00:16:06,640 --> 00:16:09,360 Speaker 1: honestly think that this is a political issue. And rather 296 00:16:09,400 --> 00:16:11,600 Speaker 1: than you know, like having you know, you put your 297 00:16:11,600 --> 00:16:14,000 Speaker 1: head in the sand and say nothing's going wrong, I 298 00:16:14,040 --> 00:16:16,160 Speaker 1: think that's going to feed this sort of you know, 299 00:16:16,320 --> 00:16:19,800 Speaker 1: very racist Republican exploitation of this. Yeah, I think the 300 00:16:19,840 --> 00:16:25,240 Speaker 1: elian Omar approach, the shared Brown approach, is the right one. Right. No, No, Look, 301 00:16:25,640 --> 00:16:30,160 Speaker 1: this is a major environmental catastrophe caused by stock by 302 00:16:30,240 --> 00:16:34,400 Speaker 1: backs and a lack of people listening to unions very 303 00:16:34,480 --> 00:16:39,000 Speaker 1: much things that liberals believe in. This should be something 304 00:16:39,040 --> 00:16:42,240 Speaker 1: we are all talking about as much as possible. And 305 00:16:42,440 --> 00:16:46,720 Speaker 1: the reality is Biden is a president of everyone, whether 306 00:16:46,840 --> 00:16:50,119 Speaker 1: or not they voted for him, and that's an incredibly 307 00:16:50,120 --> 00:16:53,200 Speaker 1: important data point. But thank you so much. The time 308 00:16:53,240 --> 00:16:56,960 Speaker 1: has already gone by, and it went by quickly. Here 309 00:17:01,240 --> 00:17:06,440 Speaker 1: Congresswoman Katie Border represents California's district and is a candidate 310 00:17:06,480 --> 00:17:10,680 Speaker 1: for the Senate. Welcome too fast, politics, Katie Border. Thank you, 311 00:17:10,880 --> 00:17:12,840 Speaker 1: nice to be back. Why are you the best woman 312 00:17:13,080 --> 00:17:15,000 Speaker 1: for the job? So I think I'm the best person 313 00:17:15,080 --> 00:17:17,359 Speaker 1: for the job, I want to say, um, although I 314 00:17:17,400 --> 00:17:20,680 Speaker 1: do think it's really important that we continue to try 315 00:17:20,880 --> 00:17:24,199 Speaker 1: to achieve a balance of men and women in politics. 316 00:17:24,240 --> 00:17:28,280 Speaker 1: We know that organizations that have women in leadership about 317 00:17:28,359 --> 00:17:32,040 Speaker 1: perform organizations that underrepresent women. So the Senate is no 318 00:17:32,119 --> 00:17:34,560 Speaker 1: exception to that. But I think that, you know, what 319 00:17:34,640 --> 00:17:37,000 Speaker 1: I can really bring to this race is, as a 320 00:17:37,040 --> 00:17:40,480 Speaker 1: relative newcomer to politics, is a real sense of what 321 00:17:40,520 --> 00:17:43,120 Speaker 1: we need to do in the next two to ten 322 00:17:43,280 --> 00:17:46,840 Speaker 1: years to build that durable majority. I want Democrats to 323 00:17:46,880 --> 00:17:49,000 Speaker 1: win this cycle, but I want them to win the 324 00:17:49,040 --> 00:17:52,120 Speaker 1: cycle after that and the cycle after that, which means 325 00:17:52,119 --> 00:17:55,359 Speaker 1: that we have a politics that really speaks to what 326 00:17:55,560 --> 00:17:58,600 Speaker 1: voters are worried about in the future, whether that's climate 327 00:17:58,840 --> 00:18:01,879 Speaker 1: or housing or leaning up government. So I want to 328 00:18:01,920 --> 00:18:06,560 Speaker 1: ask you, you come from a purple state. It became redistricted, 329 00:18:06,720 --> 00:18:11,200 Speaker 1: it became more rad you won by three points. You 330 00:18:11,359 --> 00:18:14,680 Speaker 1: become sort of a really good example of a Democrat 331 00:18:14,760 --> 00:18:18,439 Speaker 1: who can win in a difficult district, which is again 332 00:18:18,560 --> 00:18:21,439 Speaker 1: unusual because of the way the Congress is made up. 333 00:18:21,840 --> 00:18:24,760 Speaker 1: Why are you the right person to win a primary 334 00:18:24,840 --> 00:18:27,960 Speaker 1: in a very blue state. Yeah, So I represent a 335 00:18:28,000 --> 00:18:30,840 Speaker 1: purple district in Orange County, and with redistricting, have now 336 00:18:30,920 --> 00:18:34,080 Speaker 1: represented about a third to a half of Orange County, 337 00:18:34,080 --> 00:18:36,560 Speaker 1: which is very purple. But I think what I've learned 338 00:18:36,560 --> 00:18:41,199 Speaker 1: from that is how to get voters to see that 339 00:18:41,240 --> 00:18:44,320 Speaker 1: you're fighting for them in Washington, and that is something 340 00:18:44,359 --> 00:18:48,240 Speaker 1: that I think all voters want across the ideological spectrum. 341 00:18:48,359 --> 00:18:51,760 Speaker 1: So in Orange County, I focus on making sure that 342 00:18:51,800 --> 00:18:55,200 Speaker 1: I am standing up to the bad guys in Washington. 343 00:18:55,560 --> 00:18:59,160 Speaker 1: Sometimes that is Trump Republicans, make no mistake. But sometimes 344 00:18:59,160 --> 00:19:02,240 Speaker 1: it's a corrupt e O who isn't delivering for his 345 00:19:02,359 --> 00:19:06,120 Speaker 1: customers or his employees. Sometimes that's a government official who 346 00:19:06,119 --> 00:19:08,800 Speaker 1: just won't pick up the tools that he has and 347 00:19:08,920 --> 00:19:11,440 Speaker 1: do a better job for the American people. And so 348 00:19:11,480 --> 00:19:13,240 Speaker 1: I think one of the things that can offer in 349 00:19:13,320 --> 00:19:16,639 Speaker 1: this race is I know how to win in tough districts, 350 00:19:16,800 --> 00:19:19,439 Speaker 1: and we have tough districts in California, and we have 351 00:19:19,520 --> 00:19:22,119 Speaker 1: a lot of them, as you mentioned, Molly, across the 352 00:19:22,200 --> 00:19:25,840 Speaker 1: United States. So I think California needs someone who can 353 00:19:25,920 --> 00:19:29,160 Speaker 1: be a political leader helping us win and get rid 354 00:19:29,280 --> 00:19:33,240 Speaker 1: of the California Republicans who are failing California. But also 355 00:19:33,320 --> 00:19:36,800 Speaker 1: somebody think the country needs California to have a Senator 356 00:19:36,880 --> 00:19:38,960 Speaker 1: that can go on the road and get out in 357 00:19:39,040 --> 00:19:41,080 Speaker 1: every part in pocket of this country and be able 358 00:19:41,080 --> 00:19:43,560 Speaker 1: to connect with voters. That's how we're going to hold 359 00:19:43,560 --> 00:19:46,560 Speaker 1: this House and the Senate for generations to come. This 360 00:19:46,680 --> 00:19:49,119 Speaker 1: is obviously, I mean, I think you've done a really 361 00:19:49,160 --> 00:19:51,720 Speaker 1: good job in Congress and you've become a star there. 362 00:19:51,760 --> 00:19:55,000 Speaker 1: I'm curious what is motivating you to go to the Senate. Well, 363 00:19:55,000 --> 00:19:58,480 Speaker 1: you know, I think the Senate has long been perceived 364 00:19:58,800 --> 00:20:02,080 Speaker 1: to be the kind of last line of defense for America, 365 00:20:02,200 --> 00:20:05,800 Speaker 1: for our economy, for our rights, for our democracy, and 366 00:20:05,840 --> 00:20:08,119 Speaker 1: I think that it's that's really at peril. And I 367 00:20:08,119 --> 00:20:11,040 Speaker 1: think we in my time in the House, most of 368 00:20:11,080 --> 00:20:14,159 Speaker 1: that time the first four years my first two terms, 369 00:20:14,560 --> 00:20:17,120 Speaker 1: we had a Senate that failed to step up, who 370 00:20:17,200 --> 00:20:21,119 Speaker 1: hid behind the filibuster UM, senators who often cited more 371 00:20:21,160 --> 00:20:24,399 Speaker 1: often with Republicans than with Democrats, or were unwilling to 372 00:20:24,480 --> 00:20:26,280 Speaker 1: kind of get in the fight and stand up to 373 00:20:26,359 --> 00:20:28,840 Speaker 1: corporate power. And so I think that you know the 374 00:20:28,880 --> 00:20:32,159 Speaker 1: class that I was elected with in folks who were 375 00:20:32,200 --> 00:20:34,520 Speaker 1: who ran to kind of stand up to Trump and 376 00:20:34,600 --> 00:20:37,520 Speaker 1: bring new energy to Congress, You're seeing lots of us 377 00:20:37,680 --> 00:20:39,960 Speaker 1: look to take that same energy and help spread it 378 00:20:40,000 --> 00:20:42,960 Speaker 1: throughout politics. So I have candidates colleagues who have gone 379 00:20:43,000 --> 00:20:46,520 Speaker 1: into the administration, like Dev Holland, UM. I have candidates 380 00:20:46,520 --> 00:20:50,199 Speaker 1: who have gone into becoming lieutenant governors UM. And I 381 00:20:50,200 --> 00:20:52,159 Speaker 1: think you're seeing some of us run for the Senate. 382 00:20:52,160 --> 00:20:54,439 Speaker 1: And I think that's good that we are bringing that 383 00:20:54,640 --> 00:20:57,320 Speaker 1: at that energy and that perspective on what needs to 384 00:20:57,400 --> 00:21:00,440 Speaker 1: change in Washington to every all that for kinds of 385 00:21:00,480 --> 00:21:03,640 Speaker 1: institutions that make up our government. Elizabeth Warren was your 386 00:21:03,760 --> 00:21:07,520 Speaker 1: law professor. You're very influenced by her. Anyone who's watched 387 00:21:07,560 --> 00:21:10,399 Speaker 1: to do question and knows that what are other ways 388 00:21:10,440 --> 00:21:12,960 Speaker 1: that you might be more progressive than people now? Yeah, 389 00:21:13,000 --> 00:21:16,160 Speaker 1: And I think what I've learned from Elizabeth Warren Um 390 00:21:16,440 --> 00:21:19,040 Speaker 1: watching her and working with her for years um as 391 00:21:19,080 --> 00:21:22,560 Speaker 1: a law professor before I ran for Congress. UM. I 392 00:21:22,560 --> 00:21:25,120 Speaker 1: guess that was it. Two things come to mind. One 393 00:21:25,400 --> 00:21:27,840 Speaker 1: is that she is a teacher, and so am I. 394 00:21:28,480 --> 00:21:31,760 Speaker 1: And her ability to talk about issues in a way 395 00:21:31,960 --> 00:21:35,919 Speaker 1: that invites people into the conversation. She's been her career 396 00:21:36,040 --> 00:21:39,480 Speaker 1: before she became a politician, making it easier for people 397 00:21:39,520 --> 00:21:42,040 Speaker 1: to understand the law, making it easier for them to 398 00:21:42,160 --> 00:21:46,040 Speaker 1: understand how the economy works and whether it's working for them. 399 00:21:46,040 --> 00:21:48,320 Speaker 1: And I really try to do that. I try and 400 00:21:48,400 --> 00:21:52,080 Speaker 1: my questioning and speeches I give, and my social media 401 00:21:52,320 --> 00:21:55,640 Speaker 1: to give Americans information to teach them, because then they 402 00:21:55,640 --> 00:21:57,719 Speaker 1: can pick up the tools of democracy and make their 403 00:21:57,800 --> 00:22:00,679 Speaker 1: voices heard, whether that's voting or call in their senator 404 00:22:00,880 --> 00:22:04,040 Speaker 1: or representative. I think the other thing that Elizabeth and 405 00:22:04,040 --> 00:22:08,359 Speaker 1: I share is a real commitment to understanding the importance 406 00:22:08,520 --> 00:22:11,960 Speaker 1: of a strong and stable, globally competitive economy. We have 407 00:22:12,040 --> 00:22:15,000 Speaker 1: both seen in our personal lives as well as in 408 00:22:15,040 --> 00:22:19,240 Speaker 1: our professional lives what happens when the economy fails. It's 409 00:22:19,320 --> 00:22:22,719 Speaker 1: not just as President Trump obsessed about the stock market 410 00:22:22,720 --> 00:22:25,200 Speaker 1: going down it's people who are out of work, it's 411 00:22:25,280 --> 00:22:28,040 Speaker 1: kids who are going hungry, it's families that are losing 412 00:22:28,080 --> 00:22:31,479 Speaker 1: their houses, it's it's a whole generation of folks who 413 00:22:31,520 --> 00:22:35,080 Speaker 1: are being held back from having a secure retirement. And 414 00:22:35,119 --> 00:22:38,040 Speaker 1: so I grew up in Iowa during the farm crisis, 415 00:22:38,320 --> 00:22:41,159 Speaker 1: the watch families get more closed on around me. And 416 00:22:41,200 --> 00:22:44,000 Speaker 1: then when I got to California, my entrance into public 417 00:22:44,040 --> 00:22:47,680 Speaker 1: service was then Attorney General now Vice President Kamala Harris 418 00:22:48,040 --> 00:22:51,359 Speaker 1: asking me to hold the bank's feet to the fire 419 00:22:51,600 --> 00:22:55,240 Speaker 1: on stopping cheating people out of their homes, on actually 420 00:22:55,320 --> 00:22:58,040 Speaker 1: making them follow the law and hold them to the 421 00:22:58,160 --> 00:23:00,159 Speaker 1: terms of the deal that they had signed. And so 422 00:23:00,240 --> 00:23:02,080 Speaker 1: in doing that, I got the chance to travel the 423 00:23:02,080 --> 00:23:05,600 Speaker 1: state of California and talk to people and see firsthand, 424 00:23:05,840 --> 00:23:08,080 Speaker 1: especially in a state where home ownership is such a 425 00:23:08,160 --> 00:23:12,240 Speaker 1: challenge for people, how terrible the consequences are of allowing 426 00:23:12,320 --> 00:23:15,560 Speaker 1: big corporations to cheat and to rig the economy in 427 00:23:15,600 --> 00:23:18,160 Speaker 1: their favor. And so I'm a strong proponent of capitalism. 428 00:23:18,359 --> 00:23:21,520 Speaker 1: But to have capitalism, you have to have competition and 429 00:23:21,560 --> 00:23:28,080 Speaker 1: consumer protection, investor protection, consumer choice, price transparency. And when 430 00:23:28,119 --> 00:23:29,760 Speaker 1: we don't have those things, we have to be willing 431 00:23:29,800 --> 00:23:32,840 Speaker 1: to challenge corporations and change the rules to deliver that. 432 00:23:33,359 --> 00:23:37,239 Speaker 1: So would you change the filibuster? Yes, absolutely, Look, the 433 00:23:37,240 --> 00:23:43,119 Speaker 1: filibuster is not functioning to protect democracy. It's functioning to 434 00:23:43,320 --> 00:23:47,159 Speaker 1: protect the rear end of senators who don't want to 435 00:23:47,160 --> 00:23:51,800 Speaker 1: take a vote on tough issues, and so it's actually antidemocratic. 436 00:23:51,880 --> 00:23:55,440 Speaker 1: The whole point of the filibuster, remember, besides it's deep 437 00:23:55,480 --> 00:23:57,880 Speaker 1: and racist history, and for that I recommend people read 438 00:23:57,880 --> 00:24:01,359 Speaker 1: Adam Gentilesen's book. But the whole of the filibuster in 439 00:24:01,520 --> 00:24:04,960 Speaker 1: theory today is to protect the rights of the party 440 00:24:05,000 --> 00:24:08,320 Speaker 1: in the minority. It's just a rule of procedure, no 441 00:24:08,440 --> 00:24:10,280 Speaker 1: different than a rule that says you have to raise 442 00:24:10,280 --> 00:24:13,200 Speaker 1: your hand before you can be recognized. But when that 443 00:24:13,320 --> 00:24:17,600 Speaker 1: rule isn't working, and instead of protecting the minority, it's 444 00:24:17,640 --> 00:24:20,159 Speaker 1: allowing the work of the Senate to come to a 445 00:24:20,240 --> 00:24:24,040 Speaker 1: complete halt, I mean, depriving the American people of knowing 446 00:24:24,080 --> 00:24:27,720 Speaker 1: where their senators stand on issues. Than it is failing 447 00:24:27,720 --> 00:24:29,720 Speaker 1: our democracy, and we should get rid of it and 448 00:24:29,840 --> 00:24:33,360 Speaker 1: substitute other ways to protect the party in the minority 449 00:24:33,400 --> 00:24:35,280 Speaker 1: and make sure that they're able to be heard. We 450 00:24:35,400 --> 00:24:37,480 Speaker 1: have tools to do that, in the House, and they 451 00:24:37,520 --> 00:24:40,679 Speaker 1: work very very well. They're just not the filibuster, and 452 00:24:40,680 --> 00:24:43,240 Speaker 1: the filibuster isn't working as a rule of procedure, and 453 00:24:43,359 --> 00:24:45,640 Speaker 1: we shouldn't elevate it to anything more or less than 454 00:24:45,680 --> 00:24:48,600 Speaker 1: what it is a rule, a rule that can be changed. 455 00:24:48,800 --> 00:24:52,560 Speaker 1: I want to push you here. The California historically kind 456 00:24:52,560 --> 00:24:56,160 Speaker 1: of elects the most left candidate in the primary. Talk 457 00:24:56,200 --> 00:24:59,840 Speaker 1: to me about the lefty bona fide is you have. Well, Look, 458 00:25:00,119 --> 00:25:04,199 Speaker 1: I started into politics, and from the get go I 459 00:25:04,400 --> 00:25:07,600 Speaker 1: ran a little bit differently. I didn't take corporate pack money. 460 00:25:07,720 --> 00:25:10,160 Speaker 1: I'm one of four members of the House of Representatives, 461 00:25:10,240 --> 00:25:13,560 Speaker 1: four out of four thirty five who don't take federal 462 00:25:13,600 --> 00:25:17,199 Speaker 1: lobbyist money. Despite those things, I was the second highest 463 00:25:17,200 --> 00:25:21,119 Speaker 1: fundraiser in the House slash cycle, behind only Kevin McCarthy, 464 00:25:21,200 --> 00:25:24,200 Speaker 1: who does take pac money. Of course, he takes every 465 00:25:24,280 --> 00:25:29,119 Speaker 1: count of money. You can raise the resources you need 466 00:25:29,160 --> 00:25:32,199 Speaker 1: to win the toughest, most expensive races in the country 467 00:25:32,320 --> 00:25:35,680 Speaker 1: without being behold into big corporations. And I'm proof of that. 468 00:25:36,119 --> 00:25:39,080 Speaker 1: And so I think that really matters to progressives. Um, 469 00:25:39,080 --> 00:25:41,640 Speaker 1: we need people to believe that we're fighting for them, 470 00:25:41,680 --> 00:25:43,760 Speaker 1: and I have shown that and I show that not 471 00:25:43,840 --> 00:25:46,199 Speaker 1: just in my words, but in my actions and in 472 00:25:46,240 --> 00:25:49,720 Speaker 1: my decisions and the consistency of votes. I've also been 473 00:25:49,720 --> 00:25:52,640 Speaker 1: in leadership in the House Progressive Caucus. I was elected 474 00:25:52,640 --> 00:25:55,040 Speaker 1: by by colleagues to have the number two role, the 475 00:25:55,119 --> 00:26:00,639 Speaker 1: deputy chair representative from Illegia Pol last Congress, and in 476 00:26:00,720 --> 00:26:04,000 Speaker 1: that role, I work closely with Caromela on trying to 477 00:26:04,600 --> 00:26:07,760 Speaker 1: build progressive power, but also get a lot of our 478 00:26:07,800 --> 00:26:11,440 Speaker 1: colleagues to see that the issues that progressives the Progressive 479 00:26:11,480 --> 00:26:15,880 Speaker 1: Caucus was fighting for, issues like affordable childcare and investments 480 00:26:15,880 --> 00:26:19,720 Speaker 1: in housing, actually have the support of the vast majority 481 00:26:19,760 --> 00:26:23,040 Speaker 1: of Americans, and also to highlight for people you can 482 00:26:23,200 --> 00:26:27,600 Speaker 1: be a strong progressive and win tough races, and I 483 00:26:27,840 --> 00:26:30,639 Speaker 1: that's exactly what I've done three times here in Range County. 484 00:26:30,960 --> 00:26:33,160 Speaker 1: And so I think when I'm in the Senate race, 485 00:26:33,320 --> 00:26:35,240 Speaker 1: I think I have the ability to both know how 486 00:26:35,240 --> 00:26:40,080 Speaker 1: to talk to independence and persuadable Republicans, whatever portion of 487 00:26:40,119 --> 00:26:43,320 Speaker 1: Republicans that is, and get them on board. And I've 488 00:26:43,359 --> 00:26:45,639 Speaker 1: had to do that to win every time. And at 489 00:26:45,680 --> 00:26:48,439 Speaker 1: the same time, I ran in two seventeen, when I 490 00:26:48,440 --> 00:26:51,320 Speaker 1: first launched my campaign on things like Medicare for All 491 00:26:51,560 --> 00:26:53,840 Speaker 1: and the Green New Deal. I ran as an unabashed 492 00:26:53,880 --> 00:26:56,360 Speaker 1: progressive and I have stayed that way. And I think 493 00:26:56,440 --> 00:26:59,720 Speaker 1: that consistency of values is something that should give people 494 00:26:59,760 --> 00:27:02,359 Speaker 1: comp and instant as I'm campaigning, when they asked me 495 00:27:02,400 --> 00:27:04,360 Speaker 1: a question and I give them an answer, they can 496 00:27:04,400 --> 00:27:06,120 Speaker 1: they can count on that. So I have to ask 497 00:27:06,160 --> 00:27:09,640 Speaker 1: you about the staffing thing. You know, there's been accusations 498 00:27:09,680 --> 00:27:12,920 Speaker 1: that you were not a nice boss. Have you been 499 00:27:12,960 --> 00:27:16,040 Speaker 1: able to sort of quell this? Yeah, I am a 500 00:27:16,200 --> 00:27:20,080 Speaker 1: terrific staff and there's no way that you can do 501 00:27:20,119 --> 00:27:23,080 Speaker 1: this job without them. We are a team, and we 502 00:27:23,119 --> 00:27:26,520 Speaker 1: are in partnership, and we count on each other. And 503 00:27:26,760 --> 00:27:29,440 Speaker 1: that means sometimes they say to me, you let me down, 504 00:27:29,440 --> 00:27:31,399 Speaker 1: and I told you to give this speech, or what 505 00:27:31,480 --> 00:27:34,520 Speaker 1: happened to my third paragraph? And and sometimes I say 506 00:27:34,520 --> 00:27:36,960 Speaker 1: to them, what are we That third paragraph didn't seem 507 00:27:37,200 --> 00:27:38,719 Speaker 1: to fit with the rest of the speech. What are 508 00:27:38,720 --> 00:27:41,320 Speaker 1: we gonna do? But I'm really proud of my staff. 509 00:27:41,359 --> 00:27:44,280 Speaker 1: I'm proud that I have promoted from within several times, 510 00:27:44,640 --> 00:27:47,159 Speaker 1: that my district director, for example, started out as an 511 00:27:47,200 --> 00:27:50,040 Speaker 1: intern in my staff. I'm proud that, you know, my 512 00:27:50,119 --> 00:27:53,159 Speaker 1: communications director has been with me from day one. I 513 00:27:53,200 --> 00:27:55,320 Speaker 1: have seen him grow and he has seen me grow, 514 00:27:55,480 --> 00:27:58,520 Speaker 1: and that is an amazing relationship to have. I expect 515 00:27:58,560 --> 00:28:00,520 Speaker 1: a lot of my stuff. I looked the expect a 516 00:28:00,560 --> 00:28:03,080 Speaker 1: lot of myself, but I don't think the American people 517 00:28:03,520 --> 00:28:07,600 Speaker 1: deserve any less. With regard to the most recent stuffer, 518 00:28:07,720 --> 00:28:11,200 Speaker 1: the recent stuffer who has said that I wasn't treating 519 00:28:11,200 --> 00:28:14,520 Speaker 1: her fairly, I will say three things. One, I consulted 520 00:28:14,520 --> 00:28:17,480 Speaker 1: with house employment counsel about what to do when she 521 00:28:17,600 --> 00:28:21,040 Speaker 1: broke our office policy with regard to COVID safety. Too, 522 00:28:21,800 --> 00:28:24,280 Speaker 1: I have a duty to protect the people who work 523 00:28:24,280 --> 00:28:27,560 Speaker 1: in my office. If someone isn't following office policy with 524 00:28:27,600 --> 00:28:31,639 Speaker 1: regard to security, or ethics or COVID, they are putting 525 00:28:31,720 --> 00:28:34,679 Speaker 1: all of us, including constituents who might come into the office, 526 00:28:34,720 --> 00:28:38,120 Speaker 1: at risk. So I have to think about my obligations 527 00:28:38,160 --> 00:28:41,280 Speaker 1: as an employer and as a representative to keep people safe. 528 00:28:41,600 --> 00:28:43,680 Speaker 1: And the third thing is I'm grateful that she was 529 00:28:43,720 --> 00:28:46,280 Speaker 1: able to finish out her term. She worked two years 530 00:28:46,280 --> 00:28:48,880 Speaker 1: for me as a wounded warrior fellow, and I was 531 00:28:48,920 --> 00:28:51,320 Speaker 1: really grateful to have her contributions in the office, and 532 00:28:51,360 --> 00:28:53,360 Speaker 1: I wish her well in her new endeavor. Where are 533 00:28:53,360 --> 00:28:56,280 Speaker 1: you on congressional staff unionise saying, oh, I'm in support 534 00:28:56,320 --> 00:28:58,760 Speaker 1: of that, and I think we've seen some offices trying 535 00:28:58,800 --> 00:29:00,760 Speaker 1: to unionize. I think the republic things are taking in 536 00:29:00,880 --> 00:29:03,360 Speaker 1: with that. But I think it's really really important. Look, 537 00:29:03,360 --> 00:29:06,080 Speaker 1: I don't think this is a tough one. Every worker 538 00:29:06,200 --> 00:29:10,360 Speaker 1: should be free to organize and decide to join the union. 539 00:29:10,560 --> 00:29:13,080 Speaker 1: That that is a core principle. I think President Buying 540 00:29:13,200 --> 00:29:15,400 Speaker 1: here has the exactly is exactly right. You would say 541 00:29:15,400 --> 00:29:18,840 Speaker 1: I'm a union guy, I would say I'm a union gal. Yeah, 542 00:29:19,120 --> 00:29:22,280 Speaker 1: I think that's definitely true. We are having a lot 543 00:29:22,360 --> 00:29:26,760 Speaker 1: of transit issues. The train collision, we had a bunch 544 00:29:26,800 --> 00:29:30,640 Speaker 1: of nearer misses with aviation. What do you think should 545 00:29:30,680 --> 00:29:32,760 Speaker 1: happen here? I mean, some of this is because of 546 00:29:32,800 --> 00:29:35,680 Speaker 1: corporate buybacks, especially when it comes to and when you're 547 00:29:35,680 --> 00:29:39,360 Speaker 1: talking about unions, I'm thinking about the the train workers 548 00:29:39,440 --> 00:29:42,760 Speaker 1: who fought and fought to try to prevent this train 549 00:29:42,840 --> 00:29:45,640 Speaker 1: accident from happening, and we're warning us about it. What 550 00:29:45,680 --> 00:29:47,880 Speaker 1: do you think needs to happen here? There's a fundamental 551 00:29:48,040 --> 00:29:50,480 Speaker 1: problem I think with this. Well, Look, I think what 552 00:29:50,560 --> 00:29:53,840 Speaker 1: we see in transit is emblematic of what we're seeing 553 00:29:54,000 --> 00:29:57,920 Speaker 1: in several other industries right now, which is the consequences 554 00:29:58,240 --> 00:30:05,240 Speaker 1: of years of deregulation and Washington kind of giving corporations 555 00:30:05,280 --> 00:30:07,760 Speaker 1: what they want and how telling to them. Um and 556 00:30:07,800 --> 00:30:09,960 Speaker 1: so I think what those what this works out in 557 00:30:10,160 --> 00:30:14,000 Speaker 1: is in transit is these folks have lobbied and bought 558 00:30:14,000 --> 00:30:17,480 Speaker 1: and paid for sometimes bills that deregulate the industry, that 559 00:30:17,600 --> 00:30:22,400 Speaker 1: take away safety protections, that limit the resources of regulators 560 00:30:22,440 --> 00:30:25,000 Speaker 1: to do their jobs keeping us safe. I think the 561 00:30:25,160 --> 00:30:28,680 Speaker 1: union busting and anti union activity that we've seen in 562 00:30:28,720 --> 00:30:32,240 Speaker 1: transits also a factor. So I think when you decade 563 00:30:32,240 --> 00:30:34,880 Speaker 1: after decade, each of these things is well, is just 564 00:30:34,920 --> 00:30:36,960 Speaker 1: a little bit to help the business, is just a 565 00:30:37,040 --> 00:30:38,960 Speaker 1: little bit to make it easier to do business. But 566 00:30:39,000 --> 00:30:41,800 Speaker 1: when you pile those things up and nobody is willing 567 00:30:41,840 --> 00:30:44,160 Speaker 1: to stand up the corporate power, at the end of 568 00:30:44,200 --> 00:30:48,480 Speaker 1: the day, you have corporations that are putting profit ahead 569 00:30:48,520 --> 00:30:51,520 Speaker 1: of their core business mission, in this case, to get 570 00:30:51,520 --> 00:30:54,720 Speaker 1: people from our goods from point A to point me safely. 571 00:30:55,240 --> 00:30:57,880 Speaker 1: That's your job. If you're an airline, that's your job. 572 00:30:58,040 --> 00:31:00,600 Speaker 1: If you're a trucking company, that's your job. If you're 573 00:31:00,600 --> 00:31:03,520 Speaker 1: a train along the way. We want you to make 574 00:31:03,560 --> 00:31:06,200 Speaker 1: money and be able to contribute to our economy. But 575 00:31:06,520 --> 00:31:09,640 Speaker 1: they are more focused on making money for themselves, on 576 00:31:09,960 --> 00:31:13,080 Speaker 1: lighting the pockets of their executives and their shareholders, than 577 00:31:13,160 --> 00:31:16,720 Speaker 1: they are on executing their core business models successfully. And 578 00:31:16,760 --> 00:31:19,600 Speaker 1: I think there is a role for greater federal regulation here. 579 00:31:19,880 --> 00:31:22,800 Speaker 1: I think we need to make sure that our cabinet secretaries, 580 00:31:22,880 --> 00:31:25,760 Speaker 1: all of them in every department, are willing to stand 581 00:31:25,880 --> 00:31:28,120 Speaker 1: up to those that they're regulating. I think we've seen 582 00:31:28,320 --> 00:31:31,520 Speaker 1: great leadership at the Federal Trade Commission and with regard 583 00:31:31,560 --> 00:31:34,120 Speaker 1: to antitrust on this front, and I think we need 584 00:31:34,160 --> 00:31:36,840 Speaker 1: to keep pushing President Biden, who has shown a real 585 00:31:36,880 --> 00:31:40,000 Speaker 1: willingness to stand up for workers and stand up for consumers, 586 00:31:40,120 --> 00:31:42,680 Speaker 1: to make sure his cabinet in every department is doing 587 00:31:42,680 --> 00:31:44,640 Speaker 1: the same thing. I have one more question with the 588 00:31:44,720 --> 00:31:49,840 Speaker 1: environmental impact in Ohio terrible right, What comes next? It 589 00:31:49,960 --> 00:31:53,000 Speaker 1: just seems to terrifying. Well, I think one of the 590 00:31:53,040 --> 00:31:56,040 Speaker 1: really important things is that our government officials need to 591 00:31:56,120 --> 00:31:59,240 Speaker 1: be on the ground making their own assessment. We cannot take, 592 00:31:59,480 --> 00:32:03,320 Speaker 1: as we often have in these situations, the corporation's talking 593 00:32:03,400 --> 00:32:07,400 Speaker 1: points switch out the head or on the paper and 594 00:32:07,520 --> 00:32:09,640 Speaker 1: speaks out the letterhead and then make them the government 595 00:32:09,640 --> 00:32:13,280 Speaker 1: talking points. The American people and especially the people living 596 00:32:13,360 --> 00:32:16,680 Speaker 1: in East Palestine need to know that they are safe. 597 00:32:16,720 --> 00:32:20,160 Speaker 1: They need independent verification and testing, and we need to 598 00:32:20,200 --> 00:32:23,600 Speaker 1: not take the fact that we're not finding harms today 599 00:32:23,960 --> 00:32:26,760 Speaker 1: as a guarantee that there won't be long term harms. 600 00:32:27,080 --> 00:32:30,760 Speaker 1: We have to have to learn the lessons of environmental 601 00:32:30,840 --> 00:32:34,520 Speaker 1: justice and the lessons of pollution from our past, and 602 00:32:34,600 --> 00:32:38,160 Speaker 1: we can't keep repeating the same thing because it's simply expedient. 603 00:32:38,200 --> 00:32:41,560 Speaker 1: For those whose campaigns are funded by the railroad of hand, 604 00:32:41,760 --> 00:32:44,080 Speaker 1: we have to hold them accountable and the government has 605 00:32:44,120 --> 00:32:47,719 Speaker 1: to be a trusted partner in delivering that safety information. 606 00:32:47,880 --> 00:32:51,240 Speaker 1: Katie Porter, thank you so much for joining us my pleasure. 607 00:32:52,080 --> 00:32:55,840 Speaker 1: I know you, our dear listeners, are very busy and 608 00:32:55,920 --> 00:32:58,080 Speaker 1: you don't have time to sort through the hundreds of 609 00:32:58,080 --> 00:33:01,960 Speaker 1: pieces of pundentry each week. This is why every week 610 00:33:02,240 --> 00:33:06,160 Speaker 1: I put together a newsletter of my five favorite articles 611 00:33:06,200 --> 00:33:09,040 Speaker 1: on politics. If you enjoy the podcast, you will love 612 00:33:09,120 --> 00:33:12,960 Speaker 1: having this in your inbox every Friday. So sign up 613 00:33:13,000 --> 00:33:16,320 Speaker 1: at Fast Politics pod dot com and click the tab 614 00:33:16,440 --> 00:33:23,520 Speaker 1: to join our mailing list. That's Fast Politics pod dot com. 615 00:33:23,560 --> 00:33:27,760 Speaker 1: Ben Schiller is the managing editor of Coin Desk. Welcome 616 00:33:27,800 --> 00:33:31,760 Speaker 1: to Fast Politics, Ben. It seems like this is not 617 00:33:31,960 --> 00:33:36,080 Speaker 1: crypto's greatest moment. It would certainly not be crypto's greatest moments. 618 00:33:36,320 --> 00:33:38,840 Speaker 1: Definitely having a tough time, and that's coming from the 619 00:33:39,120 --> 00:33:41,960 Speaker 1: pullout from the FTX scandal, which was a forty billion 620 00:33:42,040 --> 00:33:44,640 Speaker 1: dollar implosion, and it's coming on the back of a 621 00:33:44,640 --> 00:33:47,680 Speaker 1: lot of big claims of the industry mate in Washington, 622 00:33:47,760 --> 00:33:49,800 Speaker 1: d C. Which has turned out not to be true. 623 00:33:50,240 --> 00:33:52,280 Speaker 1: And it's really a reckoning moment for crypto in the 624 00:33:52,320 --> 00:33:55,880 Speaker 1: capital now. So we are about to go into a 625 00:33:55,960 --> 00:34:01,320 Speaker 1: week of crypto. Crypto meats government exactly. Yeah. I mean, 626 00:34:01,400 --> 00:34:04,360 Speaker 1: legislators are lining up to crack down on the industry, 627 00:34:04,480 --> 00:34:06,560 Speaker 1: and I have a lot of hearings, particularly from the 628 00:34:06,600 --> 00:34:09,320 Speaker 1: Senate Banking Committee, and then there's a lot of action 629 00:34:09,400 --> 00:34:12,360 Speaker 1: on the kind of regulatory front with the SEC of particular, 630 00:34:12,440 --> 00:34:14,759 Speaker 1: So Gary Gainslow, who's the chair of the SEC, is 631 00:34:14,840 --> 00:34:17,520 Speaker 1: under a lot of pressure from legislators to really come 632 00:34:17,560 --> 00:34:20,040 Speaker 1: down hard on the industry. For various reasons. A lot 633 00:34:20,200 --> 00:34:24,640 Speaker 1: of industries have a partisan like Republicans have oil and 634 00:34:24,719 --> 00:34:28,520 Speaker 1: gas but in this I think both sides are very 635 00:34:28,560 --> 00:34:32,080 Speaker 1: piste off crypto, right, Yeah, I mean I would argue 636 00:34:32,080 --> 00:34:34,000 Speaker 1: that they're really taking it personally. So I mean, just 637 00:34:34,040 --> 00:34:35,919 Speaker 1: to backtrack a little bit, I mean, for a long time, 638 00:34:36,000 --> 00:34:38,080 Speaker 1: you could have been around since the invention of bitcoin, 639 00:34:38,080 --> 00:34:40,719 Speaker 1: which is about twelve years ago, and for maybe ten 640 00:34:40,760 --> 00:34:43,080 Speaker 1: of those years it wasn't really taken seriously in d C. 641 00:34:43,800 --> 00:34:45,919 Speaker 1: And then last year there was a massive full run 642 00:34:46,280 --> 00:34:48,040 Speaker 1: and there was a lot of money flowing around, and 643 00:34:48,239 --> 00:34:51,600 Speaker 1: crypto really started to get some traction with members of Congress, 644 00:34:51,680 --> 00:34:54,560 Speaker 1: and there was sort of talk of favorable legislation, you know, 645 00:34:54,560 --> 00:34:56,759 Speaker 1: the packs formed, and particularly there are a lot of 646 00:34:56,760 --> 00:35:00,520 Speaker 1: donations flowing around, particularly from SBF or san Band Freed, 647 00:35:00,520 --> 00:35:03,120 Speaker 1: who was the CEO and founder of f t X. 648 00:35:03,520 --> 00:35:06,160 Speaker 1: Him and his colleague gave money to up to a 649 00:35:06,239 --> 00:35:08,719 Speaker 1: third of Congress, So I mean, you know, hundreds and 650 00:35:08,800 --> 00:35:11,719 Speaker 1: hundreds of people. So when the ft X folded in 651 00:35:11,719 --> 00:35:14,279 Speaker 1: this kind of very dramatic way, I think there was 652 00:35:14,280 --> 00:35:16,480 Speaker 1: a kind of a loss of faith both in him obviously, 653 00:35:16,560 --> 00:35:19,080 Speaker 1: but also in the industry in general, because a lot 654 00:35:19,080 --> 00:35:21,680 Speaker 1: of things he'd been saying, and he was a charming guy, 655 00:35:21,920 --> 00:35:25,240 Speaker 1: had this kind of tousel head, kind of young princely image, 656 00:35:25,560 --> 00:35:27,000 Speaker 1: you know, when they when he turned out to be 657 00:35:27,040 --> 00:35:29,640 Speaker 1: a charlatan, I think they really took it personally and 658 00:35:29,640 --> 00:35:32,280 Speaker 1: there had no reason then to really be the champion 659 00:35:32,320 --> 00:35:33,960 Speaker 1: of the industry. And that's what we're seeing now is 660 00:35:34,040 --> 00:35:39,880 Speaker 1: kind of blowback. But didn't SPF actually give money Republicans too? Absolutely, 661 00:35:39,880 --> 00:35:42,279 Speaker 1: it was it was an equal handed operation. I mean 662 00:35:42,320 --> 00:35:44,359 Speaker 1: he joined the Biden election, and you know, the first 663 00:35:44,400 --> 00:35:46,919 Speaker 1: Biden election he gave very heavily to Democrats, but when 664 00:35:46,920 --> 00:35:49,360 Speaker 1: it came to the last two years, he was giving 665 00:35:49,360 --> 00:35:53,440 Speaker 1: even handily to to both sides. Yeah. So it actually 666 00:35:53,520 --> 00:35:56,560 Speaker 1: the idea that he's some kind of that this is 667 00:35:56,600 --> 00:36:00,480 Speaker 1: a partisan crime is really not accurate, not at all. 668 00:36:00,480 --> 00:36:03,200 Speaker 1: I mean, I think his personal leanings are definitely to 669 00:36:03,280 --> 00:36:05,760 Speaker 1: the left, but in terms of building up his political 670 00:36:05,800 --> 00:36:09,320 Speaker 1: capital in Washington, he was definitely giving to everybody. There's 671 00:36:09,400 --> 00:36:14,439 Speaker 1: more than just SPF. That is a problem problem. Yeah. 672 00:36:14,440 --> 00:36:18,160 Speaker 1: I mean, the the legislators and particularly SEC are going 673 00:36:18,239 --> 00:36:21,080 Speaker 1: after all aspects of crypto. I mean, I don't want 674 00:36:21,120 --> 00:36:22,880 Speaker 1: to get too into the weeds on this program, but 675 00:36:23,160 --> 00:36:25,319 Speaker 1: you know, there was a big enforcement action from the 676 00:36:25,400 --> 00:36:28,360 Speaker 1: SECC this week coming down on a company called Kraken, 677 00:36:28,440 --> 00:36:32,080 Speaker 1: which is a leading exchange regarding its staking service, which 678 00:36:32,160 --> 00:36:34,160 Speaker 1: sounds a bit sort of in the weeds, but it's 679 00:36:34,160 --> 00:36:36,280 Speaker 1: a big deal for crypto because that's a big source 680 00:36:36,280 --> 00:36:39,400 Speaker 1: of revenue and a big What is staking staking is 681 00:36:39,480 --> 00:36:42,040 Speaker 1: when you take your bitcoin or another coin and you 682 00:36:42,120 --> 00:36:44,879 Speaker 1: give it to a company like cracking, and then they 683 00:36:44,920 --> 00:36:47,200 Speaker 1: give you a return on that money. So it's basically 684 00:36:47,200 --> 00:36:49,640 Speaker 1: a form of collateralization in the same way that you 685 00:36:49,640 --> 00:36:51,239 Speaker 1: would give money to a bank and they would give 686 00:36:51,239 --> 00:36:53,480 Speaker 1: you an interest rate. And what is wrong with their 687 00:36:53,520 --> 00:36:57,600 Speaker 1: staking service, Well, this goes back to what Gary Ginster 688 00:36:57,640 --> 00:37:00,239 Speaker 1: has been saying about crypto all along. If you want 689 00:37:00,280 --> 00:37:02,839 Speaker 1: have been listening, which is that you know, when you 690 00:37:03,239 --> 00:37:07,120 Speaker 1: issue a coin and you have an expectation or give 691 00:37:07,280 --> 00:37:10,240 Speaker 1: the other party an expectation of a return on that coin, 692 00:37:10,800 --> 00:37:14,600 Speaker 1: then you can reasonably expect that asset to be called 693 00:37:14,600 --> 00:37:16,600 Speaker 1: a security. And this is what the argument has been 694 00:37:16,640 --> 00:37:20,040 Speaker 1: about all along, where Gary Gains has been saying that 695 00:37:20,080 --> 00:37:23,000 Speaker 1: all tokens are basically securities, and the industry has not 696 00:37:23,040 --> 00:37:26,600 Speaker 1: wanted to really believe him or really go along with 697 00:37:26,640 --> 00:37:30,000 Speaker 1: the logic of that. So you know, they've been operating 698 00:37:30,360 --> 00:37:33,520 Speaker 1: as if these assets are not securities, and Gary Ginsler 699 00:37:33,560 --> 00:37:37,239 Speaker 1: has secretly or not so secretly been thinking they have 700 00:37:37,320 --> 00:37:41,719 Speaker 1: been securities. But what about candidates Like in Yomy we 701 00:37:41,880 --> 00:37:47,160 Speaker 1: have Cynthia Loomis, who has been very big on crypto. 702 00:37:47,520 --> 00:37:51,279 Speaker 1: In Miami we have the Miami mayor who is a 703 00:37:51,560 --> 00:37:56,600 Speaker 1: slightly lefty Republican and he went big on crypto. I mean, 704 00:37:57,000 --> 00:38:00,520 Speaker 1: did these people and also like all this clebrities who 705 00:38:00,600 --> 00:38:04,359 Speaker 1: did crypto ads, Like, is there any kind of like 706 00:38:04,560 --> 00:38:07,719 Speaker 1: regulatory problems for these people? Do does anyone have to 707 00:38:07,800 --> 00:38:10,520 Speaker 1: pay a fine? I mean not that I know, I've know. 708 00:38:10,600 --> 00:38:12,320 Speaker 1: I mean most of these people have. They've taken money 709 00:38:12,400 --> 00:38:16,440 Speaker 1: from SPF for or some other discredited crypto person, have 710 00:38:16,760 --> 00:38:18,799 Speaker 1: given the money back, or they've given them the money 711 00:38:18,800 --> 00:38:21,480 Speaker 1: away to somebody else. That's the only penalty that they faced. 712 00:38:21,680 --> 00:38:23,959 Speaker 1: Do you think that people have not been hard enough 713 00:38:24,160 --> 00:38:26,840 Speaker 1: on like this? You know, like think about like last 714 00:38:26,960 --> 00:38:31,880 Speaker 1: year's Super Bowl was almost all crypto ads and celebrities 715 00:38:31,920 --> 00:38:34,759 Speaker 1: got millions and millions of dollars, and even like all 716 00:38:34,760 --> 00:38:37,760 Speaker 1: the n f T stuff that is connected to crypto 717 00:38:38,040 --> 00:38:41,920 Speaker 1: that also is a huge payday for celebrities like Onwyneth Paltrow. 718 00:38:42,040 --> 00:38:44,400 Speaker 1: I mean, do you think that there's been enough reporting 719 00:38:44,480 --> 00:38:47,400 Speaker 1: on just the kind of how unfair that was and 720 00:38:47,400 --> 00:38:49,360 Speaker 1: how misled a lot of people were, or do you 721 00:38:49,360 --> 00:38:52,000 Speaker 1: think we'll generally not and just going back to ft 722 00:38:52,200 --> 00:38:55,279 Speaker 1: X again. I mean, he had a number of celebrity endorses. 723 00:38:55,600 --> 00:38:58,239 Speaker 1: Larry David, for instance, did a big Super Bowl ad 724 00:38:58,640 --> 00:39:01,920 Speaker 1: last year, and of those people have gotten into trouble 725 00:39:02,040 --> 00:39:04,399 Speaker 1: for taking all of that money. I don't believe they're 726 00:39:04,400 --> 00:39:08,160 Speaker 1: even party to the bankruptcy proceedings that are going on now. 727 00:39:08,440 --> 00:39:10,359 Speaker 1: It's noting like people are trying to plow that money back, 728 00:39:10,440 --> 00:39:13,160 Speaker 1: so they've got a free reign. I mean, the only 729 00:39:13,200 --> 00:39:15,840 Speaker 1: example really of a celebrity who has gotten to trouble 730 00:39:16,440 --> 00:39:19,759 Speaker 1: is Kim Kardashian. So the SEC made a big kind 731 00:39:19,760 --> 00:39:24,920 Speaker 1: of scapegoating moment out of going after her for pitching 732 00:39:25,120 --> 00:39:28,160 Speaker 1: a a nonsense coin, what we call in the industry 733 00:39:28,160 --> 00:39:32,280 Speaker 1: a ship coin called ethery and Max, where she basically 734 00:39:32,640 --> 00:39:34,839 Speaker 1: went on her Instagram and and said this was this 735 00:39:34,880 --> 00:39:38,399 Speaker 1: was the greatest project ever. And the SEC went after 736 00:39:38,480 --> 00:39:41,960 Speaker 1: that for basically an illegal activity, and they used her 737 00:39:42,000 --> 00:39:45,040 Speaker 1: celebrity against her, and as a sort of an example 738 00:39:45,080 --> 00:39:47,839 Speaker 1: for others not to follow, you know going forward. That's 739 00:39:47,880 --> 00:39:50,319 Speaker 1: really interesting. What else you seeing a coin desk right 740 00:39:50,320 --> 00:39:52,799 Speaker 1: now in the industry itself, which is what we cover, 741 00:39:52,960 --> 00:39:56,040 Speaker 1: you know, and we broke the the spf ft X story, 742 00:39:56,480 --> 00:39:58,320 Speaker 1: So we're kind of seeing both sides of it. On 743 00:39:58,560 --> 00:40:01,280 Speaker 1: the one hand, you know, this is a reckoning moment. 744 00:40:01,360 --> 00:40:03,400 Speaker 1: On the other hand, you know a lot of people 745 00:40:03,800 --> 00:40:06,799 Speaker 1: in the industry are not really getting it. So I 746 00:40:06,800 --> 00:40:10,319 Speaker 1: think there's still that argument to play out now. So um, 747 00:40:10,360 --> 00:40:13,080 Speaker 1: you know, the industry would argue that the sec has 748 00:40:13,080 --> 00:40:16,520 Speaker 1: not been clear in what is and what isn't legal, 749 00:40:16,800 --> 00:40:19,800 Speaker 1: and it's now being rather sort of capricious and arbitrary 750 00:40:19,880 --> 00:40:24,080 Speaker 1: and enforcing traditional securities laws. On the other hand, I 751 00:40:24,080 --> 00:40:26,640 Speaker 1: think most people would say, most reasonable people would say, 752 00:40:26,680 --> 00:40:29,200 Speaker 1: you know, the the industry has been living under kind 753 00:40:29,200 --> 00:40:32,920 Speaker 1: of a wishful thinking and imagining that they're different from 754 00:40:32,920 --> 00:40:35,319 Speaker 1: the rest of the financial system when they're really not. 755 00:40:35,560 --> 00:40:38,080 Speaker 1: And uh, you know, Gary Gansler has been saying for years, 756 00:40:38,080 --> 00:40:40,600 Speaker 1: as I said that, you know, most tokens are securities, 757 00:40:40,640 --> 00:40:43,880 Speaker 1: and the lawyers working for these companies have not wanted 758 00:40:43,920 --> 00:40:46,360 Speaker 1: to really listen to that message. And they've been telling 759 00:40:46,600 --> 00:40:49,279 Speaker 1: their clients, these companies that they can go and do 760 00:40:49,600 --> 00:40:52,440 Speaker 1: lots and lots of kind of exotic things when you 761 00:40:52,440 --> 00:40:54,239 Speaker 1: know there was no kind of legal basis for that. 762 00:40:54,320 --> 00:40:58,759 Speaker 1: So I think we're seeing a process of innovation, sometimes 763 00:40:58,880 --> 00:41:02,160 Speaker 1: you know, worthy and often not worthy, really catching up 764 00:41:02,160 --> 00:41:05,600 Speaker 1: with the law, and regulators starting to really do what 765 00:41:05,640 --> 00:41:09,200 Speaker 1: they've say they're going to do in principle actually an actuality. 766 00:41:09,320 --> 00:41:11,520 Speaker 1: So I think, as I say, it's it's a reckoning moment, 767 00:41:11,640 --> 00:41:13,239 Speaker 1: and it's going to be interesting to see how this 768 00:41:13,520 --> 00:41:15,319 Speaker 1: plays out because there are a lot of big fish 769 00:41:15,360 --> 00:41:18,799 Speaker 1: in this industry that haven't faced any regulatory action in 770 00:41:18,840 --> 00:41:20,960 Speaker 1: the past who are now likely to face it. So 771 00:41:21,200 --> 00:41:24,799 Speaker 1: it's a it's a big moment. Oh yeah, absolutely. I mean, 772 00:41:24,840 --> 00:41:28,279 Speaker 1: doesn't it seem like bitcoin is still kind of overvalued, Well, 773 00:41:28,320 --> 00:41:30,160 Speaker 1: it depends how you look at it, I guess. You know, 774 00:41:30,440 --> 00:41:33,560 Speaker 1: it's been an argument about how you value bitcoin for 775 00:41:33,560 --> 00:41:35,759 Speaker 1: for years and years and what sort of role it 776 00:41:35,760 --> 00:41:38,200 Speaker 1: actually plays, and there's an argument there. I mean, on 777 00:41:38,239 --> 00:41:40,360 Speaker 1: the plus side, you know, it does have millions and 778 00:41:40,400 --> 00:41:42,200 Speaker 1: millions of people out there who really believe in the 779 00:41:42,280 --> 00:41:45,839 Speaker 1: project and really are invested in it, not only financially, 780 00:41:45,920 --> 00:41:47,880 Speaker 1: but in terms of its values and in terms of 781 00:41:47,920 --> 00:41:50,360 Speaker 1: its kind of bigger message and that kind of ideas 782 00:41:50,360 --> 00:41:52,879 Speaker 1: that it kind of holds onto. On the other hand, 783 00:41:52,880 --> 00:41:56,320 Speaker 1: it's made some claims about being a source of value 784 00:41:56,440 --> 00:42:00,400 Speaker 1: in in inflationary times hedge against inflation, which really hasn't 785 00:42:00,600 --> 00:42:03,880 Speaker 1: proven true. It's made some claims about being a currency 786 00:42:04,000 --> 00:42:06,759 Speaker 1: on the Internet, which isn't really true. And so I 787 00:42:06,760 --> 00:42:08,520 Speaker 1: can kind of see it both ways. On the one hand, 788 00:42:08,560 --> 00:42:10,920 Speaker 1: you could say, well, there's an enormous community and that 789 00:42:10,960 --> 00:42:14,719 Speaker 1: community equals something important on the Internet. On the other hand, 790 00:42:14,800 --> 00:42:16,880 Speaker 1: you can say, well, it's made these big claims and 791 00:42:16,920 --> 00:42:19,600 Speaker 1: it hasn't really fulfilled them. So you know, it's kind 792 00:42:19,600 --> 00:42:22,000 Speaker 1: of an argument now about whether Bitcoin is going to 793 00:42:22,080 --> 00:42:26,200 Speaker 1: remain the pre eminent cryptocurrency or whether some other, more nimble, 794 00:42:26,520 --> 00:42:29,959 Speaker 1: more technologically advanced projects will really begin to take over. 795 00:42:30,000 --> 00:42:34,000 Speaker 1: And that's particularly ethereum, but not only ethereum Um, and 796 00:42:34,280 --> 00:42:36,720 Speaker 1: that that argument is very much so sort of taking 797 00:42:36,719 --> 00:42:39,560 Speaker 1: shape now, and it's both an ideological argument and it's 798 00:42:39,560 --> 00:42:45,520 Speaker 1: also a practical sort of technological and financial argument. Jesus, 799 00:42:45,560 --> 00:42:49,520 Speaker 1: what an interesting and strange time we live in. What 800 00:42:49,560 --> 00:42:52,920 Speaker 1: would be an exchange that would seem better, you know, 801 00:42:53,080 --> 00:42:56,160 Speaker 1: would that be a theoryum? I mean what coin would 802 00:42:56,160 --> 00:42:58,279 Speaker 1: be more stable than Bitcoin? Well, I mean none of 803 00:42:58,280 --> 00:43:01,040 Speaker 1: them are particularly stable and less you include what are 804 00:43:01,040 --> 00:43:05,040 Speaker 1: called stable coins, which are expressly designed to be stable, 805 00:43:05,080 --> 00:43:07,920 Speaker 1: i to to not fluctuate in price. And that's always 806 00:43:07,960 --> 00:43:10,440 Speaker 1: been a problem with Bitcoin as a currency. It's it 807 00:43:10,520 --> 00:43:13,560 Speaker 1: goes up and down too much to be um something 808 00:43:13,600 --> 00:43:15,520 Speaker 1: you would actually want to use in a store, because 809 00:43:16,160 --> 00:43:17,879 Speaker 1: you know, if it's going up, then you don't wanna, 810 00:43:18,360 --> 00:43:21,880 Speaker 1: you know, spend it, because then you're losing the potential upside. 811 00:43:22,160 --> 00:43:25,520 Speaker 1: The industry came up with these this idea of stable coins, 812 00:43:25,560 --> 00:43:28,680 Speaker 1: which are sort of mediums of exchange which retain their value. 813 00:43:29,040 --> 00:43:31,520 Speaker 1: But now even though stable coins are now under trouble, 814 00:43:31,719 --> 00:43:34,800 Speaker 1: you know, in trouble legally and in terms of regulation. 815 00:43:34,840 --> 00:43:38,239 Speaker 1: And just this week a stable coin project called pack Sauce, 816 00:43:38,320 --> 00:43:40,520 Speaker 1: which is based here in New York, was forced to 817 00:43:40,560 --> 00:43:44,000 Speaker 1: stop issuing a stable coin on behalf of a very 818 00:43:44,040 --> 00:43:47,960 Speaker 1: big crypto company called finance. It's called be USD. That's 819 00:43:47,960 --> 00:43:51,120 Speaker 1: also seen as rather foreboding for the market because if 820 00:43:51,520 --> 00:43:54,560 Speaker 1: the stable coins, which are supposedly stable are also going 821 00:43:54,600 --> 00:43:56,880 Speaker 1: to full foul of the law, then that could really be, 822 00:43:57,080 --> 00:43:59,880 Speaker 1: you know, an existential threat to the industry going forward, 823 00:44:00,000 --> 00:44:02,520 Speaker 1: because if you don't have stable coins, and you don't 824 00:44:02,560 --> 00:44:06,439 Speaker 1: have big companies like FTX, and you have these other 825 00:44:06,880 --> 00:44:09,719 Speaker 1: issues that the industry is facing, then what do you have? 826 00:44:09,760 --> 00:44:12,920 Speaker 1: And that might be good for bitcoin because bitcoin is 827 00:44:12,960 --> 00:44:16,040 Speaker 1: a sort of unmediated project. That's kind of the whole 828 00:44:16,040 --> 00:44:18,480 Speaker 1: point of it. It kind of ticks on in the background. 829 00:44:18,520 --> 00:44:21,440 Speaker 1: It doesn't need any kind of CEO or any management, 830 00:44:21,520 --> 00:44:23,760 Speaker 1: and that can be good in a time when crypto 831 00:44:23,920 --> 00:44:27,319 Speaker 1: or other aspects of crypto are relying on intermediaries for 832 00:44:27,400 --> 00:44:29,960 Speaker 1: its well being. So that might actually be good for 833 00:44:30,000 --> 00:44:32,400 Speaker 1: bitcoin in the long term. Well, a little bit of 834 00:44:32,440 --> 00:44:35,640 Speaker 1: good news for bitcoin. Uman, you so much for joining us. 835 00:44:35,640 --> 00:44:37,799 Speaker 1: I hope you'll come back. Thanks very much, money if 836 00:44:37,800 --> 00:44:47,680 Speaker 1: it's a pleasure. Jesse Cannon, Molly John Fast. We've all 837 00:44:47,719 --> 00:44:50,080 Speaker 1: been waiting for Fatty Willis to head it down, and 838 00:44:50,120 --> 00:44:52,520 Speaker 1: it's here. I know you'll be shocked to hear this. 839 00:44:53,400 --> 00:44:57,239 Speaker 1: She thinks there may be some lying liars who lie 840 00:44:57,560 --> 00:45:03,480 Speaker 1: in Trump World. Congratulation to all involved. That's it for 841 00:45:03,520 --> 00:45:07,320 Speaker 1: this episode of Fast Politics. Tune in every Monday, Wednesday 842 00:45:07,360 --> 00:45:10,319 Speaker 1: and Friday to your the best minds in politics makes 843 00:45:10,320 --> 00:45:13,640 Speaker 1: sense of all this chaos. If you enjoyed what you've heard, 844 00:45:14,000 --> 00:45:16,920 Speaker 1: please send it to a friend and keep the conversation going. 845 00:45:17,320 --> 00:45:20,560 Speaker 1: And again thanks for listening. H