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So 32 00:01:51,040 --> 00:01:53,280 Speaker 1: my guest today is a man who's quite literally been 33 00:01:53,320 --> 00:01:56,640 Speaker 1: in the room where it happens on and off for 34 00:01:56,720 --> 00:02:01,440 Speaker 1: over three decades of American economic He is the only 35 00:02:01,480 --> 00:02:03,640 Speaker 1: person to serve as a director of the National Economic 36 00:02:03,680 --> 00:02:06,960 Speaker 1: Council under two different presidents, Bill Clint and Barack Obama, 37 00:02:07,560 --> 00:02:09,919 Speaker 1: and most recently served as the White House coordinator for 38 00:02:09,960 --> 00:02:14,200 Speaker 1: the American Rescue Plan for President Biden. I'll ask him 39 00:02:14,360 --> 00:02:18,200 Speaker 1: what he did as a child staffer for Jimmy Carter's presidency. 40 00:02:18,280 --> 00:02:24,880 Speaker 1: So she's worked for every Democratic presidency in my adult lifetime. 41 00:02:25,280 --> 00:02:28,040 Speaker 1: It is Gene Sperling, and what I have him on 42 00:02:28,120 --> 00:02:31,200 Speaker 1: today is actually he's got a new gig these days. 43 00:02:31,240 --> 00:02:35,800 Speaker 1: He's the founder and executive director of what is dubbed 44 00:02:35,840 --> 00:02:42,280 Speaker 1: the Economic Dignity Lab at Georgetown's McCourt School of Public Policy. Look, 45 00:02:42,360 --> 00:02:46,320 Speaker 1: Gene is a think tanker who's actually been a practical 46 00:02:46,680 --> 00:02:50,799 Speaker 1: government's servant as well. Sometimes you get your think tankers 47 00:02:50,840 --> 00:02:53,320 Speaker 1: who throw out white papers and ideas, and you get 48 00:02:53,360 --> 00:02:56,119 Speaker 1: your government servants who take those white paper and ideas well. 49 00:02:56,360 --> 00:02:58,880 Speaker 1: Jean's kind of been on both sides of it and 50 00:02:59,040 --> 00:03:01,880 Speaker 1: is one of the few people I know that while 51 00:03:01,880 --> 00:03:05,960 Speaker 1: he's wonky, he also understands campaign politics and that is 52 00:03:06,680 --> 00:03:12,200 Speaker 1: a unique breed of individual because it's not an easy 53 00:03:12,240 --> 00:03:16,680 Speaker 1: thing to find. And you know, he's got the quirky 54 00:03:16,720 --> 00:03:18,760 Speaker 1: sense of humor like I like I do, and like 55 00:03:18,840 --> 00:03:20,400 Speaker 1: I like. So, mister Sperlin, good to see. 56 00:03:20,280 --> 00:03:22,399 Speaker 2: You, Thank you, Chack, thanks for having me. 57 00:03:23,120 --> 00:03:25,480 Speaker 1: In fact, I have to say I didn't know this story. 58 00:03:25,560 --> 00:03:27,679 Speaker 1: I was asking this. You know, why he's coming to 59 00:03:27,760 --> 00:03:30,440 Speaker 1: us from California and I'm here going I just think 60 00:03:30,480 --> 00:03:36,040 Speaker 1: of Gene as a d c's DC guy, and I'm 61 00:03:36,040 --> 00:03:38,400 Speaker 1: going to make you quickly tell this just the shortened 62 00:03:38,480 --> 00:03:43,840 Speaker 1: version of the story. You're an Angelino because of a 63 00:03:43,880 --> 00:03:48,720 Speaker 1: fun little Hollywood meets politics meets real life meets your 64 00:03:48,760 --> 00:03:50,680 Speaker 1: personal life. Tell us about it. 65 00:03:51,880 --> 00:03:54,000 Speaker 2: Yeah, well, you you know, you could have said I've 66 00:03:54,000 --> 00:03:56,880 Speaker 2: worked for four presidents, because I had four years where 67 00:03:56,880 --> 00:04:00,640 Speaker 2: I was a consultant or part time writer for Jed Bartlett, 68 00:04:00,680 --> 00:04:04,200 Speaker 2: the president on the NBC TV show The West Wing. 69 00:04:05,840 --> 00:04:08,920 Speaker 2: But yes, the fact I'm coming from you in Santa 70 00:04:08,960 --> 00:04:13,320 Speaker 2: Monica or that seems to be my main residence right now, 71 00:04:13,520 --> 00:04:17,400 Speaker 2: does not feel comfortable to me. I grew up in 72 00:04:17,520 --> 00:04:24,400 Speaker 2: ann Arbor, Michigan. We only came to La twice in 73 00:04:24,440 --> 00:04:27,640 Speaker 2: my youth, and both times was to watch Michigan lose 74 00:04:27,720 --> 00:04:31,839 Speaker 2: to Southern cal in the road. And so when people 75 00:04:31,920 --> 00:04:34,479 Speaker 2: ask me where I'm from, it's ann Arbor. When they 76 00:04:34,520 --> 00:04:37,560 Speaker 2: ask me where I've worked, it's Washington, d C. So 77 00:04:37,600 --> 00:04:40,719 Speaker 2: it's very hard for me to kind of acknowledge that 78 00:04:40,880 --> 00:04:44,200 Speaker 2: I just happened to be here. But the story was 79 00:04:44,720 --> 00:04:47,320 Speaker 2: is that when I got done with Clinton, I'd gotten 80 00:04:47,320 --> 00:04:49,200 Speaker 2: to know some of the people on the TV show 81 00:04:49,279 --> 00:04:52,280 Speaker 2: West Wing. I really dug in. I worked on a 82 00:04:52,279 --> 00:04:55,160 Speaker 2: really good story and I sent it in and they 83 00:04:55,240 --> 00:04:58,160 Speaker 2: asked me to do an interview. I went out to 84 00:04:58,360 --> 00:05:02,039 Speaker 2: LA and it just happened to be Hey, where Aaron 85 00:05:02,080 --> 00:05:04,640 Speaker 2: Sorkin couldn't meet with me because he had a little 86 00:05:05,160 --> 00:05:10,919 Speaker 2: legal trouble in an airport. But they set up a 87 00:05:11,000 --> 00:05:13,560 Speaker 2: meeting for me with all the writers in the commissary. 88 00:05:13,680 --> 00:05:16,280 Speaker 2: It's very exciting. You walk in. There's guys from Er 89 00:05:16,480 --> 00:05:17,240 Speaker 2: walking around. 90 00:05:17,720 --> 00:05:22,280 Speaker 1: Now it is the old The studio commissaries truly are 91 00:05:23,720 --> 00:05:25,640 Speaker 1: Star Wars bar scenes. You never know who you're gonna 92 00:05:25,720 --> 00:05:26,080 Speaker 1: run into. 93 00:05:26,320 --> 00:05:29,000 Speaker 2: Yeah, just going through at the beginning, through the gate, 94 00:05:29,040 --> 00:05:33,440 Speaker 2: you think of blazing saddles and them crashing through. So 95 00:05:33,600 --> 00:05:37,280 Speaker 2: I go there. I introduced myself. First person on the 96 00:05:37,360 --> 00:05:42,520 Speaker 2: left is name Alison Abner. She's just starting her second 97 00:05:42,600 --> 00:05:45,280 Speaker 2: year writing for the West Wing, and I say hello, 98 00:05:45,440 --> 00:05:49,560 Speaker 2: and what the heck? We got married. We've been together 99 00:05:49,680 --> 00:05:54,880 Speaker 2: twenty five years, so I've been you know, I've been 100 00:05:54,920 --> 00:06:00,599 Speaker 2: a bicoastal you know, spouse, and that means we've probably 101 00:06:00,640 --> 00:06:03,080 Speaker 2: lived about a third of the time in DC, a 102 00:06:03,160 --> 00:06:06,000 Speaker 2: third of the time in Santa Monica and a third 103 00:06:06,040 --> 00:06:09,440 Speaker 2: of the time, including the entire Biden White House, I 104 00:06:09,520 --> 00:06:14,720 Speaker 2: commuted back and forth every single week, even more than 105 00:06:14,760 --> 00:06:16,520 Speaker 2: a California member of Congress. 106 00:06:16,520 --> 00:06:21,760 Speaker 1: Would you are it allows you mess? Uh? You know, 107 00:06:22,040 --> 00:06:23,480 Speaker 1: you know, I don't know if that's a good thing 108 00:06:23,560 --> 00:06:26,640 Speaker 1: or a bad thing about showing off in a life. 109 00:06:26,680 --> 00:06:30,599 Speaker 1: If you've hit all these great statuses on airplanes, it 110 00:06:30,640 --> 00:06:31,640 Speaker 1: means you're never at home. 111 00:06:33,279 --> 00:06:36,440 Speaker 2: No, you know. For me, what it's about is I 112 00:06:36,600 --> 00:06:41,320 Speaker 2: work like crazy on planes so that every moment I'm home, 113 00:06:42,240 --> 00:06:46,440 Speaker 2: I can be with my family. So I'd say the 114 00:06:46,480 --> 00:06:51,240 Speaker 2: only time this whole thing was unbelievably painful was my 115 00:06:51,880 --> 00:06:55,560 Speaker 2: third year with President Obama. My wife had gone back 116 00:06:55,800 --> 00:06:58,919 Speaker 2: to start restarter her TV writing career. My son graduated 117 00:06:58,920 --> 00:07:02,360 Speaker 2: from high school, and I had about ten months where 118 00:07:02,640 --> 00:07:05,080 Speaker 2: I was commuting back and forth, and my daughter was 119 00:07:05,200 --> 00:07:07,320 Speaker 2: like seven or eight, and I used to get in 120 00:07:07,400 --> 00:07:11,400 Speaker 2: the car and just cry sometimes. But this last time, 121 00:07:12,520 --> 00:07:15,400 Speaker 2: thanks to zoom and other things I didn't have, you know, 122 00:07:15,520 --> 00:07:18,400 Speaker 2: you could kind of be half there, half here. And 123 00:07:18,480 --> 00:07:22,440 Speaker 2: my daughter was sixteen seventeen and eighteen, and everybody knows 124 00:07:22,480 --> 00:07:25,480 Speaker 2: at sixteen seventeen and eighteen. They're not dying for you 125 00:07:25,560 --> 00:07:28,600 Speaker 2: to be there in their face every single night. So 126 00:07:28,680 --> 00:07:30,200 Speaker 2: if that part was okay. 127 00:07:30,520 --> 00:07:34,840 Speaker 1: Let me I want to dispense with one thing about 128 00:07:34,840 --> 00:07:38,320 Speaker 1: West Wind. I have been people always assume I love 129 00:07:38,400 --> 00:07:39,680 Speaker 1: the show, and I always say, you know what, I've 130 00:07:39,720 --> 00:07:42,840 Speaker 1: never I've never watched a full season, and let me 131 00:07:42,880 --> 00:07:45,720 Speaker 1: tell you why, gee, and you can tell me and 132 00:07:45,800 --> 00:07:48,320 Speaker 1: tell me why I'm wrong, because I know you're going 133 00:07:48,360 --> 00:07:50,200 Speaker 1: to be a defender, and I mean this, It's not 134 00:07:50,320 --> 00:07:55,119 Speaker 1: as if I've seen quite a few episodes and they're 135 00:07:55,200 --> 00:07:57,400 Speaker 1: really good and they're really interesting. Don't get me wrong, 136 00:07:58,560 --> 00:08:04,200 Speaker 1: but I always found him more unrealistic than realistic. And 137 00:08:04,240 --> 00:08:06,600 Speaker 1: what I always hated was when people say, why can't 138 00:08:06,600 --> 00:08:08,520 Speaker 1: it be done like it was on West Wing? And 139 00:08:08,600 --> 00:08:12,240 Speaker 1: I'm like, because west Wing was never you know, and 140 00:08:12,240 --> 00:08:15,080 Speaker 1: I've had this argument. I've actually I got arguments a 141 00:08:15,080 --> 00:08:18,200 Speaker 1: wrong word, a strong word, A debate with mister Sorkin 142 00:08:20,240 --> 00:08:23,720 Speaker 1: where because he did it with Newsroom too, where he's 143 00:08:23,800 --> 00:08:27,960 Speaker 1: creating a utopia of what could be if you had 144 00:08:27,960 --> 00:08:30,600 Speaker 1: a year to prepare for every news cycle, for instance 145 00:08:30,600 --> 00:08:34,760 Speaker 1: in Newsroom, or you had five years of historical context 146 00:08:34,840 --> 00:08:37,160 Speaker 1: to then figure out how to have done it. So 147 00:08:38,800 --> 00:08:42,120 Speaker 1: and perhaps I'm like too jaded because I'm old hotline guy. 148 00:08:42,200 --> 00:08:45,400 Speaker 2: Right, you're too jaded because you're old hotline. 149 00:08:45,480 --> 00:08:48,200 Speaker 1: I understand that. Tell me make the best case for 150 00:08:48,320 --> 00:08:52,840 Speaker 1: somebody today of why West Wing actually is emblematic of 151 00:08:52,920 --> 00:08:56,120 Speaker 1: how governing works well. 152 00:08:56,160 --> 00:08:58,439 Speaker 2: Listen, It's hard for me to think about the current 153 00:08:58,480 --> 00:09:01,040 Speaker 2: White House and how it functions well, but I would 154 00:09:01,120 --> 00:09:04,640 Speaker 2: say that if that for looked at the last couple 155 00:09:04,679 --> 00:09:09,280 Speaker 2: administrations and the years of Republican administrations before that, I 156 00:09:09,320 --> 00:09:13,760 Speaker 2: really do feel that there is a core truth in 157 00:09:13,320 --> 00:09:21,400 Speaker 2: the West Wing, which that the people there who are 158 00:09:21,440 --> 00:09:24,960 Speaker 2: there are privileged to be there, really are there to 159 00:09:25,040 --> 00:09:28,000 Speaker 2: do good for the world, but they're in a very 160 00:09:28,200 --> 00:09:32,240 Speaker 2: highly toxic and political environment. And so I think the 161 00:09:32,240 --> 00:09:34,600 Speaker 2: way that West Wing is more realistic than some of 162 00:09:34,640 --> 00:09:37,920 Speaker 2: the other you know, Scandal and other shows out there, 163 00:09:38,360 --> 00:09:41,240 Speaker 2: is that those shows tend to show people who are 164 00:09:41,360 --> 00:09:47,680 Speaker 2: only there to self deal to corrupt things. And I 165 00:09:47,720 --> 00:09:50,720 Speaker 2: think what the West Wing did show was a group 166 00:09:50,800 --> 00:09:56,320 Speaker 2: of people who were trying to do something idealistic, but 167 00:09:56,440 --> 00:09:59,400 Speaker 2: they're in a very very political environment. And if you're 168 00:09:59,440 --> 00:10:02,840 Speaker 2: not political political and you don't deal with those issues 169 00:10:03,200 --> 00:10:06,160 Speaker 2: you don't do well. I think what makes me sad 170 00:10:06,200 --> 00:10:09,920 Speaker 2: a little bit is I spent a long time telling 171 00:10:10,000 --> 00:10:13,320 Speaker 2: people that that's the way white Houses really were. I'm 172 00:10:13,360 --> 00:10:16,439 Speaker 2: not quite so sure that the West Wing is an 173 00:10:16,520 --> 00:10:19,120 Speaker 2: accurate perception of the current White House. 174 00:10:19,760 --> 00:10:22,880 Speaker 1: West Wing or Veep, who portrays staffers best. 175 00:10:25,160 --> 00:10:29,839 Speaker 2: Well, I liked Veep too because I think Veep. I mean, 176 00:10:29,880 --> 00:10:33,360 Speaker 2: of course, in Veep, nobody's really a good guy, but 177 00:10:33,440 --> 00:10:35,080 Speaker 2: it's meant as a satire. 178 00:10:35,520 --> 00:10:36,960 Speaker 1: It's meant I guess, I mean. 179 00:10:39,200 --> 00:10:42,720 Speaker 2: It's showing the real conflicts people are dealing with from 180 00:10:42,760 --> 00:10:46,000 Speaker 2: a kind of cynical point of view. But I still 181 00:10:46,080 --> 00:10:50,200 Speaker 2: really enjoyed that. I enjoyed the other shows too. I 182 00:10:50,360 --> 00:10:54,160 Speaker 2: just used to not like when people would kind of 183 00:10:54,240 --> 00:10:57,840 Speaker 2: think that that was more realistic than the West Wing. 184 00:10:58,200 --> 00:11:00,960 Speaker 1: Well, I hate when people say politics is like house 185 00:11:00,960 --> 00:11:01,360 Speaker 1: of cards. 186 00:11:01,400 --> 00:11:03,319 Speaker 2: I'm like, no, it's stop. 187 00:11:03,600 --> 00:11:06,880 Speaker 1: Right, Like, I'm like stop, that is not and that 188 00:11:06,920 --> 00:11:10,439 Speaker 1: would so that's where I always get I you know, 189 00:11:10,840 --> 00:11:16,120 Speaker 1: I would vacinate that. Then then again, like you know, 190 00:11:16,240 --> 00:11:18,800 Speaker 1: I can watch a few Good Men two thousand times, 191 00:11:18,840 --> 00:11:21,720 Speaker 1: and I probably watched it two thousand times, So it's 192 00:11:21,720 --> 00:11:24,000 Speaker 1: not that I don't love a good. Aaron Sorkin script, 193 00:11:24,040 --> 00:11:26,400 Speaker 1: that's for sure. I mean, the man is a genius 194 00:11:26,440 --> 00:11:28,559 Speaker 1: television writer. There's no doubt about it. 195 00:11:28,600 --> 00:11:31,400 Speaker 2: When it comes to dialogue, all right, whenever I see Aaron, 196 00:11:31,480 --> 00:11:35,240 Speaker 2: he's he asked me how how my wife Allison is doing? 197 00:11:35,679 --> 00:11:38,560 Speaker 2: And I say, we're still together. And he says the 198 00:11:38,640 --> 00:11:42,520 Speaker 2: two lasting things of the West Wing residual checks and 199 00:11:42,640 --> 00:11:44,720 Speaker 2: gene and Allison's marriage. 200 00:11:45,280 --> 00:11:47,559 Speaker 1: By the way, right when HBO Max was going to 201 00:11:47,600 --> 00:11:49,560 Speaker 1: get rid of it, there was like an uproar and 202 00:11:49,800 --> 00:11:52,920 Speaker 1: it reminded people, so it kept the checks coming, right. 203 00:11:53,440 --> 00:11:56,160 Speaker 2: It really is. One thing I really will say is 204 00:11:56,240 --> 00:11:59,680 Speaker 2: the number of people who I've seen actually go into 205 00:11:59,720 --> 00:12:03,000 Speaker 2: public service. I mean, famously Cody Keenan. 206 00:12:02,880 --> 00:12:05,280 Speaker 1: Who well, you're right, who watched it in it like 207 00:12:05,400 --> 00:12:06,440 Speaker 1: inspired them to do it. 208 00:12:06,600 --> 00:12:09,880 Speaker 2: Yeah, yeah, And I think, you know, I don't think 209 00:12:09,880 --> 00:12:12,240 Speaker 2: it was a TV show for me, but I think 210 00:12:12,280 --> 00:12:16,199 Speaker 2: you would see, you know, I'd see people huddled around 211 00:12:16,440 --> 00:12:20,200 Speaker 2: RFK when I was a kid in sixty eight, and 212 00:12:20,360 --> 00:12:23,480 Speaker 2: you know, I think sometimes you know that perception that 213 00:12:23,480 --> 00:12:26,320 Speaker 2: that's something positive, that you can do good things, that 214 00:12:26,400 --> 00:12:29,439 Speaker 2: you don't have to be the candidate to make a difference, 215 00:12:29,520 --> 00:12:32,600 Speaker 2: and help people's lives or fight for justice. I think 216 00:12:32,600 --> 00:12:35,920 Speaker 2: it's a positive thing and it's still pretty influential on 217 00:12:35,960 --> 00:12:38,520 Speaker 2: a lot of college campuses around the country. 218 00:12:38,559 --> 00:12:43,120 Speaker 1: Right, it has had a lot of staying power. Have 219 00:12:43,320 --> 00:12:47,439 Speaker 1: you how serious have reboots been thrown around? 220 00:12:50,480 --> 00:12:54,600 Speaker 2: I think it's more people toying with people. I mean, 221 00:12:55,559 --> 00:12:57,640 Speaker 2: you know, I stay in touch with Brad Whitford in 222 00:12:57,720 --> 00:13:00,360 Speaker 2: Delay Hill, and I did run in and I get 223 00:13:00,360 --> 00:13:05,280 Speaker 2: to see Aaron Sorkin and Martin when we did a 224 00:13:05,320 --> 00:13:10,280 Speaker 2: twenty fifth anniversary celebration at the White House. But I 225 00:13:10,320 --> 00:13:13,280 Speaker 2: think there was once where I kind of was like, hey, guys, 226 00:13:13,320 --> 00:13:16,360 Speaker 2: if this happens and I'm out of government, remember me. 227 00:13:16,840 --> 00:13:18,880 Speaker 2: And I kind of got the word back. Now we're 228 00:13:19,480 --> 00:13:22,680 Speaker 2: we're just toying with you, but we'll see. 229 00:13:23,440 --> 00:13:26,080 Speaker 1: Before I get to what you're working on. Because I think, look, 230 00:13:26,120 --> 00:13:28,560 Speaker 1: I think and we've been I think we were in 231 00:13:28,559 --> 00:13:30,680 Speaker 1: a room together not too long ago. I think AI 232 00:13:30,800 --> 00:13:36,200 Speaker 1: job displacement is going to drive political debates fear of 233 00:13:36,240 --> 00:13:39,440 Speaker 1: AI job displacement over the next decade. Whether it hits 234 00:13:39,600 --> 00:13:42,040 Speaker 1: is another story. Right, there's the fear of it and 235 00:13:42,040 --> 00:13:45,000 Speaker 1: then there's the actual fear is going to drive a 236 00:13:45,040 --> 00:13:47,320 Speaker 1: lot of political particularly in twenty twenty eight. So I 237 00:13:47,360 --> 00:13:49,080 Speaker 1: want to get to that. But before we get to that, 238 00:13:50,640 --> 00:13:52,640 Speaker 1: what's the state of the economy. What do you look 239 00:13:52,679 --> 00:13:56,720 Speaker 1: at on a week to week basis to give your 240 00:13:56,840 --> 00:14:00,720 Speaker 1: bit to what touchstones do you look at to determine 241 00:14:00,720 --> 00:14:04,360 Speaker 1: whether this is a good economy, a bad economy, or 242 00:14:04,400 --> 00:14:05,400 Speaker 1: a shaky economy. 243 00:14:06,280 --> 00:14:09,320 Speaker 2: So I think there's moments where you pretty much know 244 00:14:09,400 --> 00:14:13,920 Speaker 2: what you're looking for. Things are pretty clear, even if 245 00:14:13,920 --> 00:14:16,880 Speaker 2: you don't know what the exact narrative how it's going 246 00:14:16,960 --> 00:14:19,000 Speaker 2: to turn out, you know what the narrative is. This 247 00:14:19,040 --> 00:14:22,160 Speaker 2: is a little bit of a tricky time. I think 248 00:14:22,200 --> 00:14:26,920 Speaker 2: that what you were looking for after the kind of 249 00:14:26,960 --> 00:14:31,120 Speaker 2: worst of the post pandemic supply chain shocks and global 250 00:14:31,120 --> 00:14:35,200 Speaker 2: inflation was you were looking for what everybody called the 251 00:14:35,360 --> 00:14:38,600 Speaker 2: soft landing, and what that meant was that we would 252 00:14:38,680 --> 00:14:43,840 Speaker 2: be able to return to more of a normal, stable economy. 253 00:14:44,160 --> 00:14:49,000 Speaker 2: So the Biden economy had amazing job growth, incredibly low unemployment, 254 00:14:49,560 --> 00:14:55,240 Speaker 2: but there was also high inflation. And you know, people 255 00:14:55,280 --> 00:14:59,200 Speaker 2: will fight forever, people like myself will say it was global, 256 00:14:59,360 --> 00:15:02,680 Speaker 2: it was every where. It didn't wasn't really a factor 257 00:15:02,800 --> 00:15:06,280 Speaker 2: of Biden policies. But whatever you thought the cause was, 258 00:15:06,680 --> 00:15:11,680 Speaker 2: people wanted to see that soft landing. So what's interesting 259 00:15:12,280 --> 00:15:17,960 Speaker 2: is that you've had pretty close to what people hope for. 260 00:15:18,240 --> 00:15:23,440 Speaker 2: So when you had high inflation, you can remember that 261 00:15:23,560 --> 00:15:27,640 Speaker 2: Larry Summers famously said, Oh, the only way you're going 262 00:15:27,720 --> 00:15:30,720 Speaker 2: to bring this down is to have ten percent unemployment 263 00:15:31,160 --> 00:15:34,400 Speaker 2: or two years of seven and a half percent unemployment 264 00:15:34,440 --> 00:15:37,280 Speaker 2: or five years of six percent. Well that didn't happen. 265 00:15:37,360 --> 00:15:40,960 Speaker 2: So the good news was that we've been able to 266 00:15:41,240 --> 00:15:49,920 Speaker 2: so far avoid a you know, avoid caming inflation inflation 267 00:15:50,200 --> 00:15:52,840 Speaker 2: only in a Paul Voker sense of well, I was. 268 00:15:52,800 --> 00:15:54,520 Speaker 1: Just gonna say, let me let let's put a pause 269 00:15:54,600 --> 00:16:00,760 Speaker 1: before you jump to that part. Doesn't this reinforce not 270 00:16:00,840 --> 00:16:04,480 Speaker 1: a belief anymore? But is this now a confirmation that 271 00:16:04,520 --> 00:16:11,880 Speaker 1: this was essentially COVID related, COVID inspired, COVID driven, and 272 00:16:12,840 --> 00:16:16,480 Speaker 1: because we had the artificial stoppage and then and then 273 00:16:16,520 --> 00:16:18,400 Speaker 1: suddenly it's sort of like kinking a hose and then 274 00:16:18,440 --> 00:16:20,960 Speaker 1: I'm kicking it and a surge of product and a 275 00:16:21,040 --> 00:16:23,760 Speaker 1: surge of money, and a surge of this. You know, 276 00:16:23,880 --> 00:16:25,840 Speaker 1: as fast as it went up is as fast as 277 00:16:25,880 --> 00:16:30,280 Speaker 1: it went down. The fact that it didn't take ten 278 00:16:30,320 --> 00:16:33,359 Speaker 1: percent interest rates and it didn't take ten percent unemployment. 279 00:16:35,080 --> 00:16:38,120 Speaker 1: Is that now confirmation for you that this was global 280 00:16:38,200 --> 00:16:40,560 Speaker 1: and ninety five percent COVID? 281 00:16:41,400 --> 00:16:43,800 Speaker 2: I think for me it is. I think it is 282 00:16:43,840 --> 00:16:46,480 Speaker 2: for a lot of people. I think it's hard to have, 283 00:16:47,200 --> 00:16:50,560 Speaker 2: you know, this easy objective conversation because one, there's so 284 00:16:50,680 --> 00:16:55,880 Speaker 2: much politics involved, and you know, there's such a desire 285 00:16:56,040 --> 00:17:00,240 Speaker 2: for the current administration to blame the last administration. There's 286 00:17:00,280 --> 00:17:02,640 Speaker 2: so many people on the Democratic side that are just 287 00:17:02,920 --> 00:17:09,560 Speaker 2: disappointed that Joe Biden lost and that people ignored people 288 00:17:09,640 --> 00:17:14,240 Speaker 2: were so unhappy about prices. So there's so much political debate. 289 00:17:15,160 --> 00:17:18,520 Speaker 2: But you know, I do think that for a lot 290 00:17:18,560 --> 00:17:22,720 Speaker 2: of people, I cited an article Mark Zandy from Moody's, 291 00:17:22,760 --> 00:17:26,320 Speaker 2: Peter orzag Our, former O and B director, and others 292 00:17:26,560 --> 00:17:30,520 Speaker 2: who definitely feel that the fact that this came down 293 00:17:32,359 --> 00:17:39,640 Speaker 2: without engineering a recession was evidence that this was overall 294 00:17:40,040 --> 00:17:48,240 Speaker 2: globally inspired, pandemic related supply shot chain that said people 295 00:17:48,320 --> 00:17:53,320 Speaker 2: will still debate the American rescue plan, and I don't 296 00:17:53,320 --> 00:17:57,600 Speaker 2: think there's I think politically you'll hear Republicans now say, 297 00:17:57,760 --> 00:18:01,320 Speaker 2: oh my god, everything that happened you know bad was 298 00:18:01,440 --> 00:18:06,000 Speaker 2: due to Joe biden American Rescue Plant. That's clearly not true. Clearly, 299 00:18:06,080 --> 00:18:09,280 Speaker 2: the American Rescue Plan had some very good effects in 300 00:18:09,359 --> 00:18:12,280 Speaker 2: making US the leader and growth in the G seven, lower, 301 00:18:12,359 --> 00:18:19,200 Speaker 2: unemployment less scarring long term negative impacts. But people will 302 00:18:19,240 --> 00:18:23,080 Speaker 2: debate the inflation impact, and I think that the reasonable 303 00:18:23,119 --> 00:18:27,160 Speaker 2: debate says, hey, maybe it led to inflation here being 304 00:18:27,200 --> 00:18:30,359 Speaker 2: a point or a point half higher than it would 305 00:18:30,359 --> 00:18:33,480 Speaker 2: have been, but it had these good parts. And I'd 306 00:18:33,480 --> 00:18:35,639 Speaker 2: say the people who are most critical would say, no, 307 00:18:35,680 --> 00:18:39,080 Speaker 2: it's more like three points higher. But I think you 308 00:18:39,119 --> 00:18:42,800 Speaker 2: and I both know that in twenty twenty two, after 309 00:18:42,920 --> 00:18:47,960 Speaker 2: Putin invaded Ukraine, you know, inflation almost everywhere in the 310 00:18:48,000 --> 00:18:54,200 Speaker 2: world was seven eight nine percent, regardless of whether people 311 00:18:54,200 --> 00:18:57,200 Speaker 2: had done a major fiscal stimulus. And you also saw 312 00:18:57,720 --> 00:19:02,119 Speaker 2: every head of state did poorly everywhere in the world. 313 00:19:02,840 --> 00:19:05,160 Speaker 1: Now, that could be an antim. 314 00:19:05,680 --> 00:19:10,480 Speaker 2: A reincumbent, you know, an incumbent in that setting, but 315 00:19:10,840 --> 00:19:13,280 Speaker 2: you know, for me, I think it is you know, 316 00:19:13,320 --> 00:19:15,760 Speaker 2: I think the fact that inflation went up everywhere and 317 00:19:15,800 --> 00:19:18,800 Speaker 2: the way it came down, you know, it does confirm 318 00:19:19,200 --> 00:19:23,200 Speaker 2: that this was not fundamentally about fiscal policy. But about 319 00:19:23,240 --> 00:19:26,480 Speaker 2: the pandemic. But again, to be fair to some of 320 00:19:26,520 --> 00:19:29,600 Speaker 2: the people who disagree with me, they would say, you know, 321 00:19:29,720 --> 00:19:33,240 Speaker 2: it's a more nuanced analysis. 322 00:19:37,040 --> 00:19:39,159 Speaker 1: This episode of the Chuck Podcast is being brought to 323 00:19:39,200 --> 00:19:42,160 Speaker 1: you by Quints. As you know, a well built wardrobe 324 00:19:42,240 --> 00:19:44,840 Speaker 1: is about the pieces that work together, hold up over time, 325 00:19:44,880 --> 00:19:47,879 Speaker 1: and frankly allow you to be flexible and sort of 326 00:19:47,920 --> 00:19:52,480 Speaker 1: business casual, to say social casual. Quins does this really well. 327 00:19:52,520 --> 00:19:56,080 Speaker 1: They have premium material, thoughtful design, and some everyday staples 328 00:19:56,119 --> 00:19:58,720 Speaker 1: that feel easy to wear, easy to rely on, even 329 00:19:58,760 --> 00:20:01,880 Speaker 1: as the weather ships. 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Right now, 371 00:22:08,880 --> 00:22:12,760 Speaker 1: Soul is offering my audience thirty percent off your entire order. 372 00:22:13,000 --> 00:22:15,639 Speaker 1: So go to get sold dot Com use the promo 373 00:22:15,720 --> 00:22:19,440 Speaker 1: code toodcast. Don't forget that code. That's get sold dot 374 00:22:19,480 --> 00:22:27,920 Speaker 1: Com promo code toodcast for thirty percent off fifty years 375 00:22:27,920 --> 00:22:32,199 Speaker 1: from now. In an economics class, that might look at 376 00:22:32,240 --> 00:22:36,440 Speaker 1: a couple of case studies about what you do in 377 00:22:36,920 --> 00:22:41,800 Speaker 1: a in an economic crisis. Either one that's directly about 378 00:22:41,800 --> 00:22:44,120 Speaker 1: the economy, like what we had with the housing crisis 379 00:22:44,119 --> 00:22:47,040 Speaker 1: and the Great Recession, or something like COVID which sort 380 00:22:47,040 --> 00:22:51,840 Speaker 1: of impacted the global economy. One of the things that 381 00:22:52,320 --> 00:22:55,359 Speaker 1: my simple hot take has always been, we had two 382 00:22:55,480 --> 00:23:01,360 Speaker 1: choices with COVID. We either had inflation or recession, and 383 00:23:02,119 --> 00:23:05,520 Speaker 1: if we didn't throw money, If we had handled COVID 384 00:23:05,520 --> 00:23:10,040 Speaker 1: the way we'd handled the housing crisis, which is to 385 00:23:10,080 --> 00:23:13,440 Speaker 1: be fiscally a bit small sea conservative about how much 386 00:23:13,480 --> 00:23:16,920 Speaker 1: money we threw at the issue, we probably prevent inflation, 387 00:23:18,080 --> 00:23:22,600 Speaker 1: but we might have had a massive recession. The less 388 00:23:22,720 --> 00:23:25,640 Speaker 1: I've always felt is if that COVID, coming just within 389 00:23:25,680 --> 00:23:30,360 Speaker 1: a decade of the Great Recession, sort of got everybody thinking, hey, 390 00:23:30,400 --> 00:23:32,640 Speaker 1: we better if we're not sure, throw a little bit 391 00:23:32,640 --> 00:23:37,679 Speaker 1: more money at it. Let's not underfund, let's overfund. Do 392 00:23:37,720 --> 00:23:39,720 Speaker 1: you think fifty years from now, That's how we'll look 393 00:23:39,760 --> 00:23:41,479 Speaker 1: at those two events. And it's sort of when it 394 00:23:41,480 --> 00:23:45,280 Speaker 1: comes to government intervention, the economic crisis, the Great Recession 395 00:23:45,280 --> 00:23:48,080 Speaker 1: will always be seen as an example of government not 396 00:23:48,160 --> 00:23:52,560 Speaker 1: doing enough, and COVID will be seeing as an example 397 00:23:52,600 --> 00:23:56,119 Speaker 1: of when government does a little too much. I know 398 00:23:56,160 --> 00:23:58,680 Speaker 1: I'm being very I'm asking for a black and white 399 00:23:58,720 --> 00:24:03,879 Speaker 1: hot take on something that be incredibly it's generally speaking, I've. 400 00:24:03,760 --> 00:24:07,320 Speaker 2: Actually written on this exact topic. I wrote in the 401 00:24:07,640 --> 00:24:11,520 Speaker 2: Wall Street Journal a while ago on the lessons learned argument. 402 00:24:11,960 --> 00:24:16,120 Speaker 2: And I think people will debate this. I think that 403 00:24:16,160 --> 00:24:19,120 Speaker 2: there's kind of a will be you know. I think 404 00:24:19,160 --> 00:24:22,600 Speaker 2: some people will make it a more simple argument of 405 00:24:24,280 --> 00:24:26,600 Speaker 2: you know, but even then there's a question of lessons 406 00:24:26,680 --> 00:24:32,120 Speaker 2: learned or lessons overlearned. So the lessons over learned argument 407 00:24:32,440 --> 00:24:38,639 Speaker 2: was one you did too little in the financial crisis. 408 00:24:38,800 --> 00:24:41,240 Speaker 2: I don't think by the way that was by intent 409 00:24:41,680 --> 00:24:44,199 Speaker 2: by President Obama as someone there. I just think you 410 00:24:44,240 --> 00:24:46,320 Speaker 2: couldn't get it, couldn't get to politically. 411 00:24:46,440 --> 00:24:50,000 Speaker 1: Look by the way in fairness politically it will I mean, 412 00:24:50,040 --> 00:24:54,760 Speaker 1: you couldn't cross that that number. It had to be under. 413 00:24:54,520 --> 00:24:57,320 Speaker 2: A true exactly. You know. There was sometimes people think 414 00:24:57,440 --> 00:25:02,560 Speaker 2: there was just debate, but I do that there was 415 00:25:02,760 --> 00:25:06,520 Speaker 2: also a sense in two thousand and eight, two thousand 416 00:25:06,560 --> 00:25:09,320 Speaker 2: and nine that if you were wrong, maybe you could 417 00:25:09,359 --> 00:25:12,600 Speaker 2: come back and get more. And I think one of 418 00:25:12,640 --> 00:25:17,520 Speaker 2: the lessons that was learned there was, hey, you may 419 00:25:17,560 --> 00:25:23,119 Speaker 2: only get one shot, so you might go bigger because 420 00:25:23,200 --> 00:25:30,120 Speaker 2: you may not get another shot. Two is the insurance policy. 421 00:25:30,480 --> 00:25:35,199 Speaker 2: Other things might happen, like who would have predicted Putin 422 00:25:35,280 --> 00:25:38,240 Speaker 2: was going to invade Ukraine. As you remember, in the 423 00:25:38,280 --> 00:25:42,440 Speaker 2: financial crisis, there was the Greece in eure a financial crisis. 424 00:25:42,760 --> 00:25:46,080 Speaker 2: So another argument is put a little extra because there 425 00:25:46,160 --> 00:25:49,280 Speaker 2: might be unknowns that are going to slow you down 426 00:25:50,760 --> 00:25:54,480 Speaker 2: even more. One lesson I really think we learned well 427 00:25:55,119 --> 00:25:58,600 Speaker 2: was that when you don't do enough right away, there's 428 00:25:58,640 --> 00:26:02,240 Speaker 2: a lot of long term suffering that takes place, long 429 00:26:02,320 --> 00:26:05,960 Speaker 2: term unemployment, young people who couldn't get into the job 430 00:26:06,040 --> 00:26:09,800 Speaker 2: market for four or five years. Economists actually have a 431 00:26:09,840 --> 00:26:13,640 Speaker 2: phrase that makes sense. They call it scarring, and it's right. 432 00:26:13,720 --> 00:26:16,399 Speaker 2: What it means is they didn't These people didn't just 433 00:26:16,480 --> 00:26:20,400 Speaker 2: suffer for a year or two. Their lifetime earnings were changed. 434 00:26:21,240 --> 00:26:25,719 Speaker 2: Their rates of divorce and alcoholism and suicide or deaths 435 00:26:25,720 --> 00:26:30,399 Speaker 2: of despair were changed. So one good lesson learned was 436 00:26:30,520 --> 00:26:34,080 Speaker 2: that in this financial crisis you had a lot of 437 00:26:34,119 --> 00:26:36,800 Speaker 2: strength right away and so you didn't get the long 438 00:26:36,880 --> 00:26:41,000 Speaker 2: term unemployment. We had a policy that actually prevented millions 439 00:26:41,000 --> 00:26:44,400 Speaker 2: of people from being evicted. So I think on the 440 00:26:44,440 --> 00:26:49,760 Speaker 2: whole the argument will be that the American Rescue Plan 441 00:26:50,160 --> 00:26:55,399 Speaker 2: did properly learn the lessons. The counter will be, well, 442 00:26:55,520 --> 00:26:59,439 Speaker 2: but maybe you overlearned by doing a little bit too much. 443 00:26:59,520 --> 00:27:02,680 Speaker 2: And that's the people who will argue that the American 444 00:27:02,720 --> 00:27:06,160 Speaker 2: Rescue Plan, even if it wasn't the cause of all 445 00:27:06,200 --> 00:27:09,600 Speaker 2: the inflation or even most of inflation, kind of added 446 00:27:09,640 --> 00:27:12,080 Speaker 2: to it. And that's where I think you will continue 447 00:27:12,480 --> 00:27:15,720 Speaker 2: to have the debates where people like myself will say, 448 00:27:16,359 --> 00:27:20,520 Speaker 2: and probably Jared Bernstein would say, and Peter orzagnersay, didn't 449 00:27:20,560 --> 00:27:23,720 Speaker 2: have that much, but my friend Jason Furman would say, 450 00:27:24,720 --> 00:27:26,800 Speaker 2: you know, you should have done a bit more. I 451 00:27:26,880 --> 00:27:29,840 Speaker 2: do think what will happen going forward, Chuck, from now 452 00:27:29,880 --> 00:27:32,560 Speaker 2: on is that I do think you had an entire 453 00:27:32,680 --> 00:27:37,160 Speaker 2: generation of people who had never seen significant inflation. And 454 00:27:37,200 --> 00:27:38,200 Speaker 2: so I'm not. 455 00:27:38,080 --> 00:27:40,879 Speaker 1: Sorry, that's one hundred percent right. Like I you know, 456 00:27:40,920 --> 00:27:42,720 Speaker 1: I would sit there and say, I had a memory 457 00:27:42,760 --> 00:27:47,240 Speaker 1: of my of my parents excited when interest rates got 458 00:27:47,359 --> 00:27:50,320 Speaker 1: from win from double digits to single digits. So I 459 00:27:50,400 --> 00:27:53,880 Speaker 1: had at least remembered that era and of the era 460 00:27:53,920 --> 00:27:56,320 Speaker 1: of the late seventies and early eighties, and it did. 461 00:27:56,359 --> 00:27:59,119 Speaker 1: I mean, we were one of those working class families 462 00:27:59,160 --> 00:28:02,200 Speaker 1: that we couldn't afford a house until the interest rates 463 00:28:02,240 --> 00:28:05,639 Speaker 1: finally got to I think it was just under nine percent, 464 00:28:05,920 --> 00:28:09,600 Speaker 1: and we could finally get into a house exactly. That 465 00:28:09,760 --> 00:28:10,400 Speaker 1: was a big deal. 466 00:28:11,400 --> 00:28:16,280 Speaker 2: Four. When Reagan runs on mourning in America, things really 467 00:28:16,359 --> 00:28:18,560 Speaker 2: aren't very good inflation. 468 00:28:18,359 --> 00:28:19,560 Speaker 1: They were better than they were. 469 00:28:20,240 --> 00:28:24,560 Speaker 2: That's the key it had. People remembered things being bad 470 00:28:24,640 --> 00:28:28,960 Speaker 2: for so long that when it improved, Reagan got lots 471 00:28:29,000 --> 00:28:32,520 Speaker 2: of credit. And what hurt President Biden is that even 472 00:28:32,560 --> 00:28:37,879 Speaker 2: when inflation came down, people still remembered beef and milk 473 00:28:38,120 --> 00:28:42,280 Speaker 2: and cheese and eggs being lower. And so I do 474 00:28:42,360 --> 00:28:46,720 Speaker 2: think that even though I don't believe the American Rescue 475 00:28:46,760 --> 00:28:51,000 Speaker 2: Plan was the cause of most or even the significant 476 00:28:51,000 --> 00:28:53,960 Speaker 2: amount of the inflation, do I think that next time 477 00:28:54,000 --> 00:28:57,239 Speaker 2: around people will think about it more, or worry a 478 00:28:57,240 --> 00:29:01,440 Speaker 2: little bit, or do the balance more. Yes, because they've 479 00:29:01,520 --> 00:29:05,040 Speaker 2: now lived through a world where they saw President Biden 480 00:29:05,520 --> 00:29:08,240 Speaker 2: do what you and I would have predicted would have 481 00:29:08,280 --> 00:29:12,120 Speaker 2: been a winning hand going into twenty four, which was 482 00:29:12,440 --> 00:29:17,360 Speaker 2: inflation coming down under three percent, record low unemployment, and 483 00:29:18,040 --> 00:29:23,040 Speaker 2: all of those things were dwarfed by people's unhappiness with 484 00:29:24,440 --> 00:29:28,480 Speaker 2: everyday prices that they went to the grocery store and 485 00:29:28,640 --> 00:29:32,760 Speaker 2: saw and that is both a politic that's an economic lesson, 486 00:29:32,800 --> 00:29:35,000 Speaker 2: but it's also going to be a political lesson for 487 00:29:35,640 --> 00:29:36,640 Speaker 2: I think a generation. 488 00:29:37,000 --> 00:29:39,200 Speaker 1: I mean, what the seventies taught me and especially now 489 00:29:39,240 --> 00:29:43,800 Speaker 1: looking in hindsight, is that inflation is nonpartisan, or inflation 490 00:29:43,920 --> 00:29:46,400 Speaker 1: is bipartisan, however you want to say it. In this respect, 491 00:29:46,640 --> 00:29:52,840 Speaker 1: inflation took down three presidents, Right, Richard Nixon loses support 492 00:29:52,880 --> 00:29:55,400 Speaker 1: among Republicans. People always forget this. If the economy is better, 493 00:29:55,520 --> 00:29:58,320 Speaker 1: Nixon fights harder and Republicans probably fight on his behalf 494 00:29:58,400 --> 00:30:03,120 Speaker 1: and maybe, but you know, the bad economy was was 495 00:30:02,840 --> 00:30:05,520 Speaker 1: a secret sauce in that that made it easier to 496 00:30:05,600 --> 00:30:09,400 Speaker 1: dump him. Forward. Look at the end of the day, right, 497 00:30:09,520 --> 00:30:13,240 Speaker 1: you know, whip inflation now that terrible you know slogan 498 00:30:13,320 --> 00:30:16,960 Speaker 1: he had wi n win Whip inflation Now that didn't work. 499 00:30:17,240 --> 00:30:19,800 Speaker 1: And then Carter you know, one because of it and 500 00:30:19,840 --> 00:30:22,719 Speaker 1: then immediately lost because of it. So the point is 501 00:30:22,720 --> 00:30:25,440 Speaker 1: is that it was a reminder that the American public 502 00:30:25,560 --> 00:30:28,400 Speaker 1: just focuses on what's in front of them, not what 503 00:30:28,720 --> 00:30:33,120 Speaker 1: not always what what was, it's what is, and inflation 504 00:30:33,280 --> 00:30:34,880 Speaker 1: is one of those what is or the other. 505 00:30:34,720 --> 00:30:39,680 Speaker 2: Thing too is that if you're preventing, if you have 506 00:30:39,840 --> 00:30:43,719 Speaker 2: greater job growth, lower unemployment, those things are good and important. 507 00:30:44,240 --> 00:30:48,600 Speaker 2: They don't affect everybody, you know, the inflation does. Now. 508 00:30:48,640 --> 00:30:51,520 Speaker 2: One thing you and I did know politically was we 509 00:30:51,560 --> 00:30:56,080 Speaker 2: did know that gas prices have a disproportionate impact on 510 00:30:56,160 --> 00:30:57,600 Speaker 2: presidential approval. 511 00:30:58,000 --> 00:31:00,480 Speaker 1: Well that and that also is a scar from the 512 00:31:00,520 --> 00:31:05,480 Speaker 1: seventies and gas lines and I mean, my those are 513 00:31:05,560 --> 00:31:08,720 Speaker 1: bright memories for me, right, but I think what. 514 00:31:09,320 --> 00:31:13,600 Speaker 2: Was learned in twenty three and twenty four was that 515 00:31:13,760 --> 00:31:18,840 Speaker 2: it's not gas prices per se, it's everyday prices that 516 00:31:19,000 --> 00:31:22,640 Speaker 2: somebody is confronted with on a week by week basis. 517 00:31:23,080 --> 00:31:27,000 Speaker 2: And so even though inflation's coming down, even though the 518 00:31:27,120 --> 00:31:30,520 Speaker 2: job market is good, people are going through the grocery 519 00:31:30,600 --> 00:31:35,400 Speaker 2: line or the gas line and they're not happy. And 520 00:31:35,440 --> 00:31:38,720 Speaker 2: that's hitting a much wider number of people. And the 521 00:31:38,760 --> 00:31:43,840 Speaker 2: other thing that's interesting is, I mean you could say 522 00:31:43,840 --> 00:31:46,840 Speaker 2: it's American, but you could also say we learned its global. 523 00:31:47,200 --> 00:31:52,240 Speaker 2: You can't name one incumbent head of state in the 524 00:31:52,360 --> 00:31:57,800 Speaker 2: post pandemic period that did very well, not a single one. 525 00:31:58,440 --> 00:32:00,880 Speaker 2: And so you know, I think I think it's an 526 00:32:00,960 --> 00:32:06,960 Speaker 2: unusual combination of inflation all the strains of the pandemic, 527 00:32:07,440 --> 00:32:10,000 Speaker 2: but it's kind of you know, one thing you can't 528 00:32:10,000 --> 00:32:12,920 Speaker 2: do is say if only Joe Biden had done like 529 00:32:13,080 --> 00:32:16,840 Speaker 2: incumbent x or Y had done. There are no ones. 530 00:32:16,920 --> 00:32:22,160 Speaker 2: So that again does suggest that the kind of unhappiness 531 00:32:22,200 --> 00:32:25,960 Speaker 2: of people dealing with everyday price is going higher. And 532 00:32:26,000 --> 00:32:30,640 Speaker 2: it's what makes things so puzzling about President Trump is 533 00:32:30,680 --> 00:32:34,960 Speaker 2: that he now has seen all these things happen. He's 534 00:32:35,080 --> 00:32:39,680 Speaker 2: learned this lesson. He's got the benefit of hindsight, and 535 00:32:40,840 --> 00:32:43,200 Speaker 2: this is a point people never make, but they need 536 00:32:43,240 --> 00:32:46,600 Speaker 2: to when he comes in. Not only is inflation a 537 00:32:46,600 --> 00:32:51,040 Speaker 2: little under three percent, every major forecaster in the country 538 00:32:51,440 --> 00:32:54,720 Speaker 2: is projecting it's going down to two percent. So I 539 00:32:54,760 --> 00:32:57,480 Speaker 2: think a lot of people on like the Bien Economic team, 540 00:32:57,560 --> 00:33:01,440 Speaker 2: are like, boy, bad luck for us. Our soft landing 541 00:33:01,680 --> 00:33:04,400 Speaker 2: is on its way, and it's going to land because 542 00:33:04,440 --> 00:33:06,040 Speaker 2: of the hard work we did. 543 00:33:06,040 --> 00:33:08,360 Speaker 1: With President time in a row that Trump inherit's a 544 00:33:08,400 --> 00:33:10,680 Speaker 1: healing economy from a democratic president, right. 545 00:33:10,640 --> 00:33:12,800 Speaker 2: I know. And then he goes out of his way 546 00:33:12,920 --> 00:33:18,920 Speaker 2: to ignore every political lesson and put tariffs on everyday products. 547 00:33:19,080 --> 00:33:21,480 Speaker 2: So That's why I've said before. You know, when they 548 00:33:21,480 --> 00:33:24,920 Speaker 2: say it's the Biden economy, I say, no, it's the 549 00:33:24,960 --> 00:33:28,520 Speaker 2: self inflicted wound economy. You could have just done nothing 550 00:33:28,720 --> 00:33:31,920 Speaker 2: and coasted on the Biden economy. You've gone out of 551 00:33:31,960 --> 00:33:35,840 Speaker 2: your way to keep inflation not just higher, but in 552 00:33:35,960 --> 00:33:41,080 Speaker 2: a lot of those everyday products. That makes people so unhappy. 553 00:33:42,280 --> 00:33:45,280 Speaker 1: There is I'm curious your take on whether it is. 554 00:33:45,360 --> 00:33:49,000 Speaker 1: I'm sure you don't think it's fair that service for 555 00:33:49,080 --> 00:33:51,239 Speaker 1: the in the Biden white House might be seen as 556 00:33:51,240 --> 00:33:53,360 Speaker 1: a demerit if you run for president. But what do 557 00:33:53,400 --> 00:33:55,160 Speaker 1: you make of this issue for Pete Budet? 558 00:33:57,080 --> 00:34:01,080 Speaker 2: Well, you know, I think, yeah, I think it's a 559 00:34:01,160 --> 00:34:04,920 Speaker 2: long ways to go. And you know, I'm like you, 560 00:34:05,000 --> 00:34:08,040 Speaker 2: I'm an addict, so I a political you know, I'm 561 00:34:08,080 --> 00:34:15,319 Speaker 2: as much of a so I follow it. But I 562 00:34:15,360 --> 00:34:19,760 Speaker 2: think it's a long ways a way. I do think 563 00:34:19,800 --> 00:34:25,279 Speaker 2: that I do think that that people are you know, 564 00:34:25,320 --> 00:34:28,720 Speaker 2: I think the debate that happened in the Biden White 565 00:34:28,719 --> 00:34:31,960 Speaker 2: House and where some of us might have different views, 566 00:34:32,280 --> 00:34:36,480 Speaker 2: has been greatly exaggerated. It's as if like President Biden 567 00:34:36,880 --> 00:34:41,360 Speaker 2: didn't care about affordability. Of course he was running, you know, 568 00:34:41,480 --> 00:34:45,799 Speaker 2: He was the one who did the prescription drugs, you know, 569 00:34:46,080 --> 00:34:49,640 Speaker 2: bring down prescription drugs and key things. He was the 570 00:34:49,640 --> 00:34:54,240 Speaker 2: one focusing on lowering electricity and energy prices. Our whole 571 00:34:54,560 --> 00:34:58,480 Speaker 2: we had a major childcare initiative, which, even as you 572 00:34:58,520 --> 00:35:01,880 Speaker 2: saw with may Or Mundami, one of the key issues. 573 00:35:02,400 --> 00:35:05,000 Speaker 2: So I think people are wrong to think there wasn't 574 00:35:05,000 --> 00:35:08,520 Speaker 2: affordability focus. I think what it really came down to, 575 00:35:09,680 --> 00:35:11,520 Speaker 2: and maybe where I sometimes had a little bit of 576 00:35:11,560 --> 00:35:14,880 Speaker 2: a different view, was that I did get my political 577 00:35:14,960 --> 00:35:19,040 Speaker 2: upbringing with Bill Clinton. And Bill Clinton was known as 578 00:35:19,160 --> 00:35:22,239 Speaker 2: the feel you're paying guy, and there's truth to that. 579 00:35:22,680 --> 00:35:25,600 Speaker 2: Bill Clinton told me in my first few months in 580 00:35:25,640 --> 00:35:30,160 Speaker 2: the White House when I was writing the statements from him, 581 00:35:30,480 --> 00:35:34,799 Speaker 2: he said, never write a statement that wouldn't seem right 582 00:35:34,840 --> 00:35:38,960 Speaker 2: to somebody in one of the thirty worst economic counties. 583 00:35:40,239 --> 00:35:44,760 Speaker 2: That so, in other words, stay connected and touched first. 584 00:35:45,239 --> 00:35:48,239 Speaker 2: I think what happened with Biden was there was a 585 00:35:48,360 --> 00:35:52,040 Speaker 2: conflict between that and the saying, hey, if you don't 586 00:35:52,040 --> 00:35:55,279 Speaker 2: put forward your best foot, nobody would so wrong. 587 00:35:55,480 --> 00:35:58,600 Speaker 1: It was the wrong lesson learned from Trump. I think 588 00:35:58,640 --> 00:36:01,520 Speaker 1: there's a there's a there's a it's interesting you say 589 00:36:01,520 --> 00:36:06,080 Speaker 1: that there's a chunk of Democrats who think, hey, the 590 00:36:06,160 --> 00:36:08,640 Speaker 1: lesson to learn from Trump is bullshit, like he does. 591 00:36:10,280 --> 00:36:14,160 Speaker 2: No, I think, you know, look, I'm very I defend 592 00:36:14,200 --> 00:36:16,920 Speaker 2: a lot of the things we've done, and I realized 593 00:36:17,000 --> 00:36:20,439 Speaker 2: things are hard choices. I do think we probably could 594 00:36:20,480 --> 00:36:26,960 Speaker 2: have done a better job of starting by recognizing people's 595 00:36:27,800 --> 00:36:32,520 Speaker 2: unhappiness and then try to and then connecting, try to 596 00:36:32,520 --> 00:36:35,600 Speaker 2: explain why we're doing things to do better. But I 597 00:36:35,640 --> 00:36:39,839 Speaker 2: will say, Chuck that you know, at the time, there 598 00:36:39,880 --> 00:36:44,040 Speaker 2: were lots of smart political people who were saying, why 599 00:36:44,080 --> 00:36:47,160 Speaker 2: aren't you guys bragging about record job growth enough? Why 600 00:36:47,200 --> 00:36:50,279 Speaker 2: aren't you bragging if the president doesn't do that? So 601 00:36:51,200 --> 00:36:55,279 Speaker 2: I will say, but I will agree that I think 602 00:36:55,320 --> 00:37:00,440 Speaker 2: we could have maybe focused more on first, you know, connect, Hey, 603 00:37:00,480 --> 00:37:04,040 Speaker 2: we're not happy prices are up. Explain to people that 604 00:37:04,120 --> 00:37:07,560 Speaker 2: we're doing everything we can explain why we want to pass. 605 00:37:07,960 --> 00:37:12,239 Speaker 2: But start more from the basis of a little bit 606 00:37:12,239 --> 00:37:15,759 Speaker 2: of Clintonian feel your pain. But I don't think that 607 00:37:15,880 --> 00:37:20,240 Speaker 2: should be confused with the idea that Joe Biden wasn't 608 00:37:20,239 --> 00:37:23,479 Speaker 2: out there fighting for a child tax credit, which gave 609 00:37:23,520 --> 00:37:26,840 Speaker 2: people a few thousand dollars more in their pocket, fighting 610 00:37:26,880 --> 00:37:32,279 Speaker 2: for lower healthcare costs. I think criticisms of like, you know, 611 00:37:32,320 --> 00:37:35,560 Speaker 2: I think people who want to show their new and 612 00:37:35,680 --> 00:37:40,040 Speaker 2: change oriented are going to probably pick some holes at 613 00:37:40,080 --> 00:37:44,879 Speaker 2: Biden alum in the primaries. That's kind of basic politics. 614 00:37:45,320 --> 00:37:47,719 Speaker 2: But I think in the end people will have a 615 00:37:47,800 --> 00:37:51,200 Speaker 2: time chance to say what they could do and what 616 00:37:51,239 --> 00:37:54,839 Speaker 2: they could and the truth was, Joe Biden had the 617 00:37:55,000 --> 00:38:00,040 Speaker 2: tiniest of margins. So like on a Biparson infrastructure bill. 618 00:38:00,080 --> 00:38:02,360 Speaker 1: I mean, imagine what imagine what your job would have 619 00:38:02,400 --> 00:38:05,080 Speaker 1: been like had it been a Republican Senate with a 620 00:38:05,120 --> 00:38:08,600 Speaker 1: Democratic House, which was the most likely scenario before the 621 00:38:08,640 --> 00:38:10,040 Speaker 1: Georgia Rubbins. No. 622 00:38:10,160 --> 00:38:11,920 Speaker 2: So we got a lot of good things done, but 623 00:38:12,040 --> 00:38:15,239 Speaker 2: when those things got done, you couldn't always do them 624 00:38:15,280 --> 00:38:20,560 Speaker 2: exactly like you want, So you couldn't like necessarily get 625 00:38:20,600 --> 00:38:24,160 Speaker 2: everything out the door as fast as you wanted or 626 00:38:24,200 --> 00:38:28,040 Speaker 2: things like that. But you know, again, we've got a 627 00:38:28,040 --> 00:38:30,600 Speaker 2: lot there's gonna be a lot of primary candidates. They're 628 00:38:30,600 --> 00:38:32,520 Speaker 2: going to take a lot of shots at each other. 629 00:38:33,080 --> 00:38:36,280 Speaker 2: I tend to like and know most of the people 630 00:38:36,520 --> 00:38:39,640 Speaker 2: that people are talking about, So I'm looking at people 631 00:38:39,680 --> 00:38:43,080 Speaker 2: I basically admire and I'm kind of like sitting back 632 00:38:43,120 --> 00:38:46,040 Speaker 2: and kind of watching like I'm Chuck Todd, wanting to 633 00:38:46,080 --> 00:38:48,480 Speaker 2: see who's good, who's effective. 634 00:38:48,040 --> 00:38:51,080 Speaker 1: Well, the most likely what's the most likely scenario of 635 00:38:51,120 --> 00:38:54,200 Speaker 1: one of them? When's the presidency? Jean Spurley's going to 636 00:38:54,239 --> 00:38:54,680 Speaker 1: go work for. 637 00:38:56,480 --> 00:39:00,040 Speaker 2: I will say that from a family perspective, for me 638 00:39:00,160 --> 00:39:03,279 Speaker 2: to go out with that would be both you know, 639 00:39:03,320 --> 00:39:06,759 Speaker 2: from a human perspective, would be arrogant to suggest that 640 00:39:07,680 --> 00:39:09,880 Speaker 2: you know somebody would want you again, and from a 641 00:39:09,880 --> 00:39:15,440 Speaker 2: family perspective forecasting that would probably not do well for me. 642 00:39:16,280 --> 00:39:20,759 Speaker 2: Right now, we're focused on the upsides of not being 643 00:39:20,760 --> 00:39:21,440 Speaker 2: in the government. 644 00:39:25,040 --> 00:39:27,160 Speaker 1: This episode of the Chuck Podcast is brought to you 645 00:39:27,200 --> 00:39:30,000 Speaker 1: by American Financing. 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So let's talk about where is what. 701 00:42:40,800 --> 00:42:44,680 Speaker 1: You're one of the few people who understands economists speak 702 00:42:45,160 --> 00:42:47,880 Speaker 1: and sort of Americans speak, right, which is why I 703 00:42:47,960 --> 00:42:52,279 Speaker 1: think you've been a popular staffer to bring in for presidents, 704 00:42:52,360 --> 00:42:56,160 Speaker 1: because you're just you're not just thinking like an economist 705 00:42:56,719 --> 00:42:59,279 Speaker 1: and a data guy, but sort of you're able to 706 00:42:59,320 --> 00:43:05,560 Speaker 1: fuse it with sort of realistic, realistic policy that you 707 00:43:05,600 --> 00:43:08,600 Speaker 1: can sell. Right. There's one thing about proposing policy, but 708 00:43:08,640 --> 00:43:12,000 Speaker 1: it's policy you can actually sell to the public. I 709 00:43:12,040 --> 00:43:17,080 Speaker 1: think the pitchforks are being sharpened. There's definitely distrust and 710 00:43:17,200 --> 00:43:22,080 Speaker 1: anger at sort of corporate America generally and the biggest 711 00:43:22,080 --> 00:43:26,880 Speaker 1: companies specifically AI. Job displacement's probably going to fuel this 712 00:43:27,160 --> 00:43:33,880 Speaker 1: even more it is. Is it inevitable that just becomes 713 00:43:33,960 --> 00:43:42,480 Speaker 1: just some sort of anger driven political movement, or is 714 00:43:42,520 --> 00:43:46,600 Speaker 1: there a chance for somebody to, you know, for this 715 00:43:46,760 --> 00:43:49,239 Speaker 1: not to end up down that road, Like I think 716 00:43:49,280 --> 00:43:51,400 Speaker 1: it's we're inevitably going to go there. We're gonna have 717 00:43:51,440 --> 00:43:54,319 Speaker 1: to have this moment that we end up there. Maybe 718 00:43:54,360 --> 00:43:56,000 Speaker 1: it's a little bit like the first part of the 719 00:43:56,000 --> 00:43:58,520 Speaker 1: twentieth century, but there really is sort of almost a 720 00:43:58,600 --> 00:44:03,080 Speaker 1: revolt against some of these folks here because of the frustrations, 721 00:44:03,160 --> 00:44:05,440 Speaker 1: and it will be this sort of white collar blue 722 00:44:05,480 --> 00:44:12,440 Speaker 1: collar a mix. But maybe I'm wrong, and maybe AI 723 00:44:12,640 --> 00:44:16,160 Speaker 1: is more like what you know, computers in everyday life 724 00:44:16,200 --> 00:44:19,480 Speaker 1: turned into increased productivity and all boats rows. 725 00:44:20,840 --> 00:44:23,799 Speaker 2: So you know, I've never been somebody you know who 726 00:44:23,920 --> 00:44:27,000 Speaker 2: like starts running to a camp, you know, when I see, 727 00:44:27,120 --> 00:44:31,280 Speaker 2: you know, like with a policy tribe, because I often 728 00:44:31,360 --> 00:44:35,719 Speaker 2: don't think that it's helpful in finding what's good economic 729 00:44:35,800 --> 00:44:39,560 Speaker 2: policy or even what's good economic message to think like 730 00:44:39,640 --> 00:44:42,000 Speaker 2: you have to be in a single camp or the other. 731 00:44:42,400 --> 00:44:45,279 Speaker 2: So of course I run into people who feel like, 732 00:44:45,320 --> 00:44:49,320 Speaker 2: oh my god, everything we need does has to sound 733 00:44:49,400 --> 00:44:53,520 Speaker 2: kind of quote centrist or practical, and then other side 734 00:44:53,560 --> 00:44:56,360 Speaker 2: who are saying no, every single thing needs to be 735 00:44:56,480 --> 00:45:00,880 Speaker 2: populist anger, I don't know that the world looks like that. 736 00:45:01,160 --> 00:45:04,680 Speaker 2: I would say that to me, You've got to do 737 00:45:04,800 --> 00:45:08,719 Speaker 2: maybe two things together, which is one, you do need 738 00:45:08,760 --> 00:45:12,719 Speaker 2: to be an optimist about people's lives. You do need 739 00:45:12,760 --> 00:45:20,200 Speaker 2: to show that you want to see more people meet 740 00:45:20,239 --> 00:45:24,040 Speaker 2: the American dream, not just tread water, but get ahead 741 00:45:24,560 --> 00:45:27,640 Speaker 2: and maybe own a house, have a little nest stake 742 00:45:27,760 --> 00:45:33,560 Speaker 2: for their retirement. You need that optimism and positive view. 743 00:45:33,680 --> 00:45:38,360 Speaker 2: And I do think that presidents who've done well have 744 00:45:38,560 --> 00:45:41,719 Speaker 2: done that and so. But on the other hand, I 745 00:45:41,719 --> 00:45:46,879 Speaker 2: don't think you can hold back when there's clear economic injustice. 746 00:45:47,520 --> 00:45:51,160 Speaker 2: I don't know that Americans are, you know, have a 747 00:45:51,400 --> 00:45:56,200 Speaker 2: I'm against you know, business or corporate America. I think 748 00:45:56,239 --> 00:45:58,799 Speaker 2: they understand that that's where a lot of jobs and 749 00:45:58,880 --> 00:46:01,920 Speaker 2: growth come. But they are against when they think the 750 00:46:02,000 --> 00:46:06,680 Speaker 2: system is rigged, or when a bottom line that affects 751 00:46:07,080 --> 00:46:13,399 Speaker 2: a chosen few is doing is more important than your 752 00:46:13,520 --> 00:46:17,759 Speaker 2: lives and your struggle. So I think you need to 753 00:46:18,120 --> 00:46:20,960 Speaker 2: I think what we need is to have a degree 754 00:46:21,120 --> 00:46:23,719 Speaker 2: of optimism that we are the ones who can be 755 00:46:23,800 --> 00:46:26,799 Speaker 2: good for the economy. We are the ones that can 756 00:46:26,840 --> 00:46:30,240 Speaker 2: help you get ahead, and that doesn't mean being down 757 00:46:30,480 --> 00:46:33,799 Speaker 2: on everybody who's a major job creator. But on the 758 00:46:33,920 --> 00:46:39,000 Speaker 2: other hand, people don't believe people who believe in markets 759 00:46:39,000 --> 00:46:43,120 Speaker 2: and capitalism, which I think is most Americans still believe 760 00:46:43,360 --> 00:46:47,000 Speaker 2: that the ultimate purpose of what they do is not 761 00:46:47,160 --> 00:46:53,240 Speaker 2: big bonuses for the CEO or just extracting profits for shareholders. 762 00:46:53,560 --> 00:46:57,239 Speaker 2: They think, as I've written about in my book in 763 00:46:57,280 --> 00:47:00,359 Speaker 2: the past and now, they think that the ultimate goal, 764 00:47:00,600 --> 00:47:04,760 Speaker 2: rightly is does it benefit typical people? Does it provide 765 00:47:05,000 --> 00:47:10,440 Speaker 2: economic dignity? And so when they see people doing things 766 00:47:10,480 --> 00:47:15,200 Speaker 2: that are just about extracting profits from them, when they 767 00:47:15,239 --> 00:47:18,760 Speaker 2: see a kind of economic policy that is not geared 768 00:47:18,840 --> 00:47:23,200 Speaker 2: towards creating more jobs, good jobs, jobs with dignity, jobs 769 00:47:23,239 --> 00:47:25,960 Speaker 2: with respect, then they're going to be angry. And I 770 00:47:26,000 --> 00:47:28,799 Speaker 2: think it is okay to tap into that anger. And 771 00:47:28,880 --> 00:47:32,279 Speaker 2: I think it is okay to say I believe in 772 00:47:32,640 --> 00:47:36,640 Speaker 2: our American market based system, but the goal of that 773 00:47:36,719 --> 00:47:41,040 Speaker 2: market based system is ultimately the well being and economic 774 00:47:41,080 --> 00:47:45,160 Speaker 2: dignity of working families. And if you have a system 775 00:47:45,600 --> 00:47:49,160 Speaker 2: that is rigged to benefit just the few and not 776 00:47:49,480 --> 00:47:53,640 Speaker 2: typical American families, then yeah, you should be anger angry 777 00:47:53,680 --> 00:47:57,600 Speaker 2: about that, and nobody running for president in the Democratic 778 00:47:57,640 --> 00:48:02,880 Speaker 2: side should be hesitant in pressing that anger. And I 779 00:48:02,960 --> 00:48:05,319 Speaker 2: won't just I'll take a second just to start on 780 00:48:05,400 --> 00:48:08,040 Speaker 2: the AI if you want. But it's also a good 781 00:48:08,120 --> 00:48:11,320 Speaker 2: example of that, you know. I mean, if you listen 782 00:48:11,400 --> 00:48:14,640 Speaker 2: to people now, you might think, if you're listening to 783 00:48:14,680 --> 00:48:17,600 Speaker 2: the White House, that well, AI is just going to happen, 784 00:48:18,080 --> 00:48:20,680 Speaker 2: and maybe it's going to hurt a lot of jobs, 785 00:48:20,880 --> 00:48:26,080 Speaker 2: and we should preempt states from trying to regulate it 786 00:48:26,120 --> 00:48:28,680 Speaker 2: in any way, or make sure people have protections of 787 00:48:28,760 --> 00:48:32,640 Speaker 2: privacy or against abusive surveillance, or to make sure that 788 00:48:32,680 --> 00:48:37,359 Speaker 2: we're dealing with job dislocation. And the response comes by no, no, no, 789 00:48:37,400 --> 00:48:40,280 Speaker 2: we have to rush, rush, rush to get more GDP 790 00:48:41,160 --> 00:48:44,600 Speaker 2: and greater growth. And I think they will lose people 791 00:48:44,800 --> 00:48:48,600 Speaker 2: because people will ask the question I've said, but what's 792 00:48:48,640 --> 00:48:52,320 Speaker 2: the ultimate point if why would we have a policy 793 00:48:52,680 --> 00:48:56,840 Speaker 2: that's not good for jobs, it's not good for the 794 00:48:56,960 --> 00:49:00,719 Speaker 2: typical family. And I think that it's not maybe the 795 00:49:00,760 --> 00:49:03,960 Speaker 2: front and center issue now, but I think it will be, 796 00:49:04,040 --> 00:49:06,320 Speaker 2: and I think it will be part of that bigger picture, 797 00:49:06,440 --> 00:49:10,640 Speaker 2: which is what is the ultimate goal of our economy, 798 00:49:10,640 --> 00:49:14,120 Speaker 2: and if people think it's just to have some enormous 799 00:49:14,160 --> 00:49:19,120 Speaker 2: wealth and five or six AI companies and we'll just 800 00:49:19,239 --> 00:49:24,160 Speaker 2: deal with the effect on job loss and income loss 801 00:49:24,239 --> 00:49:26,560 Speaker 2: as an after effect. People are going to be angry. 802 00:49:26,640 --> 00:49:29,800 Speaker 2: They're going to be rightly angry. And I think people 803 00:49:29,920 --> 00:49:33,400 Speaker 2: going in twenty eight will do better not to be 804 00:49:33,880 --> 00:49:37,319 Speaker 2: like they're head in the sand about AI or the 805 00:49:37,320 --> 00:49:39,920 Speaker 2: good things it could do. But people who are going 806 00:49:39,960 --> 00:49:43,840 Speaker 2: to say, front and center, my goal is you your job, 807 00:49:44,440 --> 00:49:47,320 Speaker 2: whether your children can be as well off as you are. 808 00:49:47,520 --> 00:49:53,000 Speaker 2: And when I'm thinking about AI, I'm thinking that about 809 00:49:53,000 --> 00:49:57,759 Speaker 2: how we shape it to serve average people. Technology is 810 00:49:57,840 --> 00:50:02,279 Speaker 2: not destiny. Democracy determines our destiny. 811 00:50:04,000 --> 00:50:06,160 Speaker 1: Some of the proposals that are out there about AI 812 00:50:06,239 --> 00:50:10,040 Speaker 1: job displacement remind me of some of the ideas that 813 00:50:10,160 --> 00:50:15,040 Speaker 1: you guys attempted to implement during sort of the the 814 00:50:15,080 --> 00:50:18,319 Speaker 1: era of the nineties, the free trade era of the nineties, right, 815 00:50:18,400 --> 00:50:21,719 Speaker 1: And I remember one of the central promises on NAFTA was, 816 00:50:22,280 --> 00:50:24,960 Speaker 1: you know, when when if factories went away, there'd be 817 00:50:25,160 --> 00:50:26,480 Speaker 1: there was always you know, there was going to be 818 00:50:26,480 --> 00:50:30,360 Speaker 1: money there for retraining and job displacement. And the money 819 00:50:30,400 --> 00:50:32,839 Speaker 1: was there and there was retraining, but it turned out 820 00:50:32,840 --> 00:50:36,080 Speaker 1: that didn't take right. There were weren't a lot, There 821 00:50:36,080 --> 00:50:38,600 Speaker 1: weren't as many people interested in some of the retraining 822 00:50:38,600 --> 00:50:42,560 Speaker 1: opportunities that were offered. I don't and I'm curious what 823 00:50:42,680 --> 00:50:45,400 Speaker 1: lessons you take away from that as you think about 824 00:50:46,120 --> 00:50:49,560 Speaker 1: developing Frank what I assume will potentially be a policy 825 00:50:49,560 --> 00:50:53,919 Speaker 1: that next a new president may may be influenced by 826 00:50:54,560 --> 00:50:57,959 Speaker 1: I sort of how to manage this displacement. The displacement's 827 00:50:58,000 --> 00:51:01,040 Speaker 1: going to happen. And you know, I'm I'm I am 828 00:51:01,880 --> 00:51:04,560 Speaker 1: you know, I'm a capitalist. You know, I think we 829 00:51:04,640 --> 00:51:07,759 Speaker 1: just want capitalism with a little bit of guardrails. And 830 00:51:07,760 --> 00:51:10,360 Speaker 1: in every technology, right, this has been true of the 831 00:51:10,400 --> 00:51:13,080 Speaker 1: media business, and it's true of really anything. Right, you 832 00:51:13,120 --> 00:51:17,560 Speaker 1: get a new technology, there's immediately fragmentation. Maybe you get 833 00:51:17,560 --> 00:51:20,640 Speaker 1: a thousand startups, and then eventually you get consolidation, and 834 00:51:20,680 --> 00:51:22,919 Speaker 1: then a new technology comes and the cycle can begin 835 00:51:22,960 --> 00:51:26,360 Speaker 1: all over again. Globalization, in some ways right, the idea 836 00:51:26,360 --> 00:51:29,799 Speaker 1: of free trade, which of course the upside was there's 837 00:51:29,840 --> 00:51:32,520 Speaker 1: not a fruit you can't get any any month of 838 00:51:32,520 --> 00:51:36,120 Speaker 1: the year in America now, which was not true when 839 00:51:36,160 --> 00:51:37,920 Speaker 1: you and I were growing up. It was not true 840 00:51:38,000 --> 00:51:40,359 Speaker 1: in the eighties and nineties. But that's what free trade 841 00:51:40,400 --> 00:51:43,279 Speaker 1: has done right in many ways, And that's just it's 842 00:51:43,520 --> 00:51:45,879 Speaker 1: I always use I like to use produce because it's 843 00:51:45,880 --> 00:51:49,160 Speaker 1: the simplest example of what free trade has meant. Like 844 00:51:49,800 --> 00:51:52,399 Speaker 1: you realize that you know, you're you get to eat 845 00:51:52,520 --> 00:51:55,040 Speaker 1: certain fruits year round now and back in the day 846 00:51:55,160 --> 00:51:59,640 Speaker 1: you couldn't. But there was certainly right that. Arguably, the 847 00:51:59,800 --> 00:52:05,360 Speaker 1: the seeds of the Trump victories of sixteen and twenty 848 00:52:05,400 --> 00:52:11,080 Speaker 1: four were planted with the globalization and free trade movement 849 00:52:11,239 --> 00:52:15,760 Speaker 1: of the nineties. So what policies do you now wish 850 00:52:15,840 --> 00:52:20,520 Speaker 1: where it implemented better than and what parallels do you 851 00:52:20,520 --> 00:52:24,000 Speaker 1: see as you think about what AI job displacement and 852 00:52:24,560 --> 00:52:27,439 Speaker 1: what benefits are necessary to ease that pain. 853 00:52:27,960 --> 00:52:30,879 Speaker 2: So I guess I would disagree with one of your premises, 854 00:52:31,040 --> 00:52:32,040 Speaker 2: which was that. 855 00:52:32,200 --> 00:52:33,920 Speaker 1: I throw a lot in there. So the fact that 856 00:52:33,960 --> 00:52:36,880 Speaker 1: you only disagree with one premise maybe is a small victory. 857 00:52:37,840 --> 00:52:41,440 Speaker 2: So, first of all, I think the core issue when 858 00:52:41,480 --> 00:52:44,880 Speaker 2: you look back on kind of the Clinton agenda was 859 00:52:45,000 --> 00:52:49,520 Speaker 2: that Bill Clinton came in with the view that you know, 860 00:52:49,560 --> 00:52:52,799 Speaker 2: there was going to be greater global integration and that 861 00:52:52,960 --> 00:52:56,520 Speaker 2: we really needed a robust response. 862 00:52:56,600 --> 00:52:58,960 Speaker 1: And so and by the way, you guys, you know, 863 00:52:58,960 --> 00:53:01,040 Speaker 1: a huge opportunity in from of you, right, we basically 864 00:53:01,120 --> 00:53:05,160 Speaker 1: the end of the Cold War. This was the peace divoting. 865 00:53:05,680 --> 00:53:08,520 Speaker 2: No, And I think that a lot of what he 866 00:53:08,560 --> 00:53:11,200 Speaker 2: was trying to do was integrate more of the world 867 00:53:11,200 --> 00:53:13,440 Speaker 2: to avoid some of the issues we're having now with 868 00:53:13,520 --> 00:53:17,280 Speaker 2: Russia and China. So there was a big foreign policy element. 869 00:53:17,480 --> 00:53:21,839 Speaker 2: But the vision was that you would have universal health care, 870 00:53:22,280 --> 00:53:26,960 Speaker 2: there would be a major universal training program for anybody 871 00:53:27,040 --> 00:53:30,600 Speaker 2: who lost a job for any reason, and then you 872 00:53:30,680 --> 00:53:35,440 Speaker 2: would also have significant place based investment in places. And 873 00:53:35,480 --> 00:53:39,479 Speaker 2: I think what happened with President Clinton was they didn't 874 00:53:39,520 --> 00:53:42,439 Speaker 2: get that. We didn't get healthcare, and then we didn't 875 00:53:42,440 --> 00:53:46,719 Speaker 2: even get to propose our universal training proposal because we 876 00:53:46,800 --> 00:53:52,640 Speaker 2: lost the Congress for all six years, both houses. So 877 00:53:53,160 --> 00:53:56,640 Speaker 2: I don't think that we ever got to test out 878 00:53:57,080 --> 00:54:01,760 Speaker 2: what that we ever got to test out what truly 879 00:54:01,840 --> 00:54:06,240 Speaker 2: having a robust safety net would be like, I don't 880 00:54:06,280 --> 00:54:09,239 Speaker 2: think it ever got to be put in place in 881 00:54:09,280 --> 00:54:13,640 Speaker 2: the way that it might have if Democrats had controlled 882 00:54:13,640 --> 00:54:16,840 Speaker 2: both houses for four or six years. So one, I 883 00:54:16,840 --> 00:54:20,160 Speaker 2: don't think we ever tested two, which is very relevant 884 00:54:20,400 --> 00:54:24,400 Speaker 2: is that globalization turned out to be much more dramatic 885 00:54:24,640 --> 00:54:29,000 Speaker 2: than anybody would have thought at the times. And then 886 00:54:29,040 --> 00:54:32,400 Speaker 2: you had eight years of a Republican administration that wasn't 887 00:54:32,480 --> 00:54:38,200 Speaker 2: really willing to adjust to that or do anything. So 888 00:54:39,880 --> 00:54:43,880 Speaker 2: I guess i'd say number one, we still have just 889 00:54:44,080 --> 00:54:47,880 Speaker 2: huge holes in what I think of as an economic 890 00:54:47,920 --> 00:54:51,320 Speaker 2: dignity net of making sure people are working or doing 891 00:54:51,360 --> 00:54:54,719 Speaker 2: their best or living lives of economic dignity even in 892 00:54:54,800 --> 00:54:59,000 Speaker 2: moments of disruption. And I think what globalization showed is 893 00:54:59,040 --> 00:55:02,960 Speaker 2: that even the there were lots of benefits to the 894 00:55:03,000 --> 00:55:07,160 Speaker 2: Internet era. And look, it wasn't just trade agreements, it 895 00:55:07,320 --> 00:55:10,560 Speaker 2: was the Internet, it was globalization. It was just a 896 00:55:10,640 --> 00:55:14,480 Speaker 2: smaller world, even though there were benefits to that. You 897 00:55:14,640 --> 00:55:19,400 Speaker 2: can't have an economy where you say, hey, for sixty 898 00:55:19,640 --> 00:55:22,960 Speaker 2: or seventy percent of you, this is nice because you're 899 00:55:22,960 --> 00:55:26,360 Speaker 2: getting lower prices and mode choices, but there's like a 900 00:55:26,400 --> 00:55:29,560 Speaker 2: portion of you that are watching your community spiral down. 901 00:55:29,880 --> 00:55:32,920 Speaker 2: You're losing your hopes, your dreams, you're watching your father 902 00:55:33,040 --> 00:55:36,359 Speaker 2: or grandfather become an alcoholic. And so one of the 903 00:55:36,360 --> 00:55:39,640 Speaker 2: things that I talked about with economic dignity is you 904 00:55:39,719 --> 00:55:44,480 Speaker 2: have got to have policies that aren't just good for 905 00:55:44,640 --> 00:55:48,880 Speaker 2: GDP or don't just lower prices for some people. Generally, 906 00:55:49,320 --> 00:55:53,000 Speaker 2: you have to have policies where everybody feels they're not 907 00:55:53,160 --> 00:55:57,000 Speaker 2: being left behind. And you know, I wouldn't put as 908 00:55:57,040 --> 00:56:00,600 Speaker 2: much blame on anything Bill Clinton did, but I would 909 00:56:00,640 --> 00:56:07,560 Speaker 2: say that the accumulation of policies over twenty thirty years 910 00:56:07,600 --> 00:56:11,520 Speaker 2: did not put in place the type of job creation 911 00:56:11,719 --> 00:56:17,239 Speaker 2: focused protections, checks on abuse of corporate power that were 912 00:56:17,320 --> 00:56:21,240 Speaker 2: necessary to make sure everyone has economic dignity for all. 913 00:56:21,520 --> 00:56:26,000 Speaker 2: So where AI becomes relevant is that globalization was a 914 00:56:26,040 --> 00:56:30,640 Speaker 2: bigger shock than we might the people might have known, 915 00:56:31,200 --> 00:56:36,440 Speaker 2: and the holes in our safety net or our insurance 916 00:56:36,440 --> 00:56:40,640 Speaker 2: of economic dignity for all became more painful. I think 917 00:56:40,680 --> 00:56:43,399 Speaker 2: that's how you should look at AI. I don't think 918 00:56:43,440 --> 00:56:47,279 Speaker 2: AI is just another technology. I think AI is likely 919 00:56:47,360 --> 00:56:50,880 Speaker 2: to have a greater impact on job disruption and a 920 00:56:50,880 --> 00:56:54,160 Speaker 2: greater impact on maybe even the reduction of the amount 921 00:56:54,160 --> 00:56:58,680 Speaker 2: of jobs in the private sector than we've seen before. 922 00:56:59,040 --> 00:57:02,239 Speaker 2: And so now is the time to me not to 923 00:57:02,360 --> 00:57:04,759 Speaker 2: sit back and watch and just say, oh my god, 924 00:57:04,880 --> 00:57:08,200 Speaker 2: tens of millions of jobs are being lost, or react 925 00:57:08,239 --> 00:57:12,040 Speaker 2: by just having a UBI program that writes checks to people. 926 00:57:12,440 --> 00:57:16,920 Speaker 2: Now is the time to start shaping, to make shaping 927 00:57:17,040 --> 00:57:19,720 Speaker 2: our economy, and to me, I talked about three things 928 00:57:19,760 --> 00:57:23,800 Speaker 2: and what I wrote as an Economic Dignity Coumpact for AI. One, 929 00:57:24,320 --> 00:57:28,680 Speaker 2: let's create more dignified jobs where we know we need more, 930 00:57:28,960 --> 00:57:32,840 Speaker 2: which are helping families with disability, helping people come out 931 00:57:33,080 --> 00:57:36,400 Speaker 2: of prison, helping people with addiction, helping people coach more 932 00:57:36,440 --> 00:57:40,440 Speaker 2: people on their healthcare. There may be twenty million missing 933 00:57:40,560 --> 00:57:45,400 Speaker 2: jobs there that could employ people, have a tighter labor market, 934 00:57:45,480 --> 00:57:49,080 Speaker 2: and deal with a lot of dislocation. That's number one. 935 00:57:49,160 --> 00:57:51,760 Speaker 2: We have the power to do that. We also have 936 00:57:51,800 --> 00:57:55,840 Speaker 2: the power to create tax incentives and subsidies that encourage 937 00:57:55,880 --> 00:58:00,600 Speaker 2: a company to augment use AI to augment jobs supplosed 938 00:58:00,680 --> 00:58:05,280 Speaker 2: to displace jobs or to redeploy people. We control our 939 00:58:05,360 --> 00:58:09,520 Speaker 2: economic policy. We should be doing that now. Secondly, going 940 00:58:09,560 --> 00:58:12,400 Speaker 2: to the point I talked about, let's create an economic 941 00:58:12,440 --> 00:58:15,960 Speaker 2: dignity floor for everyone, so that if there is a 942 00:58:16,200 --> 00:58:20,080 Speaker 2: worse disruption than we thought, unlike what happened in communities 943 00:58:20,120 --> 00:58:23,720 Speaker 2: and globalization, now we're going to have programs that focus 944 00:58:23,840 --> 00:58:27,400 Speaker 2: on jobs, on helping people find new jobs, of making 945 00:58:27,400 --> 00:58:31,120 Speaker 2: sure you still have health insurance. And then the third issue, 946 00:58:31,120 --> 00:58:32,840 Speaker 2: which is going to be the toughest than the one 947 00:58:32,880 --> 00:58:37,360 Speaker 2: that hits us, is what are those overall policies that 948 00:58:37,480 --> 00:58:41,000 Speaker 2: help people move to the next job. I just believe 949 00:58:41,040 --> 00:58:43,880 Speaker 2: that we are a country where we care about work, 950 00:58:43,920 --> 00:58:47,680 Speaker 2: we care about contribution, we care about purpose and potential. 951 00:58:48,000 --> 00:58:50,200 Speaker 2: And what I don't like is that everybody's kind of 952 00:58:50,720 --> 00:58:52,920 Speaker 2: you know, you've got a White House that's just saying 953 00:58:52,960 --> 00:58:56,040 Speaker 2: go as fast as you can and geez if it 954 00:58:56,120 --> 00:59:01,400 Speaker 2: causes lots of disruption, kind of too bad, that that 955 00:59:01,440 --> 00:59:04,600 Speaker 2: can't be our policy. Our policy going forward must be 956 00:59:05,160 --> 00:59:08,840 Speaker 2: AI is going to happen. You can't stop it all, 957 00:59:09,200 --> 00:59:13,080 Speaker 2: but you can have policies that shape to make sure 958 00:59:13,160 --> 00:59:16,440 Speaker 2: that it is serving the American people. What is the 959 00:59:16,520 --> 00:59:21,120 Speaker 2: point of an economy having high growth and high productivity 960 00:59:21,120 --> 00:59:25,720 Speaker 2: growth if it creates unhappiness for a large portion of 961 00:59:25,760 --> 00:59:29,240 Speaker 2: the economy. That's the focus I want to do in 962 00:59:29,280 --> 00:59:33,000 Speaker 2: my Economic Dignity lab is to focus on our goal. 963 00:59:33,040 --> 00:59:36,320 Speaker 2: What is our ultimate goal? Every day? It's not higher 964 00:59:36,360 --> 00:59:40,600 Speaker 2: GDP and productivity growth that makes people unhappy. It's higher 965 00:59:40,640 --> 00:59:45,600 Speaker 2: growth and productivity growth that leads to more opportunity, more dignity, 966 00:59:46,400 --> 00:59:48,880 Speaker 2: more upward mobility for more Americans. 967 00:59:49,240 --> 00:59:51,040 Speaker 1: You know, Shared Brown's going to love the fact that 968 00:59:51,080 --> 00:59:53,560 Speaker 1: you use the word dignity so much. The dignity of 969 00:59:53,640 --> 00:59:55,240 Speaker 1: work myself. 970 00:59:56,800 --> 01:00:00,560 Speaker 2: I wrote the book twenty twenty. The title is Economic Dignity. 971 01:00:00,640 --> 01:00:04,000 Speaker 2: So I've got here. It is right here, I copyrighting 972 01:00:04,000 --> 01:00:08,280 Speaker 2: the word dignity. Take that, Take that, take that, share it. 973 01:00:18,160 --> 01:00:23,320 Speaker 2: Let me get you out of here on this. When 974 01:00:23,440 --> 01:00:27,520 Speaker 2: is a company too big to regulate? And when is 975 01:00:27,640 --> 01:00:30,160 Speaker 2: when do you fear that a company's becomes bigger than 976 01:00:30,160 --> 01:00:33,480 Speaker 2: a nation state? And what happens there? I mean, like 977 01:00:33,800 --> 01:00:35,640 Speaker 2: I used to think of this as sort of perverted 978 01:00:35,720 --> 01:00:38,400 Speaker 2: Bond James Bond plot. 979 01:00:38,120 --> 01:00:42,479 Speaker 1: Lines, and but the fact of the matter is these 980 01:00:43,080 --> 01:00:48,920 Speaker 1: huge companies are bigger than most nation states. And what 981 01:00:48,960 --> 01:00:54,760 Speaker 1: does that mean right that they're they're that that's it 982 01:00:55,200 --> 01:01:00,520 Speaker 1: is different than what we've had. And does our government 983 01:01:00,560 --> 01:01:03,040 Speaker 1: of a responsibility from preventing that or do you let 984 01:01:03,080 --> 01:01:05,080 Speaker 1: capitalism be capitalism? 985 01:01:05,760 --> 01:01:08,040 Speaker 2: Well, again, I think it goes back to the tests 986 01:01:08,080 --> 01:01:15,160 Speaker 2: that we have before. The purpose of structuring our economy 987 01:01:15,400 --> 01:01:20,840 Speaker 2: is not for the companies themselves. It's not for the 988 01:01:20,880 --> 01:01:26,160 Speaker 2: CEOs themselves. It's to have an economy that benefits people's 989 01:01:26,240 --> 01:01:32,880 Speaker 2: lives and gives people more opportunity. So when companies start, 990 01:01:33,160 --> 01:01:38,920 Speaker 2: when companies get so large or integrated that they I 991 01:01:38,960 --> 01:01:41,000 Speaker 2: think there's two things you have to worry about. One, 992 01:01:41,040 --> 01:01:44,760 Speaker 2: when you don't have true competition, you know, I mean 993 01:01:45,280 --> 01:01:50,160 Speaker 2: Adam Smith was not writing about a market economy where 994 01:01:50,200 --> 01:01:54,040 Speaker 2: you know, for big AI or big tech companies controlled everything. 995 01:01:54,160 --> 01:01:57,919 Speaker 2: It was about how to have competition and why competition 996 01:01:58,560 --> 01:02:03,480 Speaker 2: would through some form of process he said invisible hand, 997 01:02:03,520 --> 01:02:08,120 Speaker 2: I'll say a little more notable hand. Make sure that 998 01:02:08,160 --> 01:02:12,400 Speaker 2: it's benefiting everybody. So one when is that working? The 999 01:02:12,480 --> 01:02:15,080 Speaker 2: other way? Now, I know a lot of people aren't 1000 01:02:15,120 --> 01:02:19,680 Speaker 2: always happy with everything Lena Khan did, but I'm more 1001 01:02:19,720 --> 01:02:22,040 Speaker 2: of a fan of hers, and I think that what 1002 01:02:22,160 --> 01:02:25,320 Speaker 2: she did and looking at big Tech and Amazon, was 1003 01:02:25,360 --> 01:02:29,880 Speaker 2: to look and say, in reality, are these large companies 1004 01:02:30,320 --> 01:02:35,440 Speaker 2: suppressing competition and hurting people or are they actually encouraging it? 1005 01:02:35,480 --> 01:02:37,840 Speaker 2: So you should have that test. And then the second 1006 01:02:37,840 --> 01:02:41,800 Speaker 2: test is a democracy test. If the size and power 1007 01:02:41,880 --> 01:02:48,480 Speaker 2: of companies mean that they are disproportionately determining our policies 1008 01:02:48,880 --> 01:02:52,960 Speaker 2: as opposed to our democratic processes based on what's best 1009 01:02:53,080 --> 01:02:56,480 Speaker 2: for people. Then I think that's the problem. 1010 01:02:56,720 --> 01:02:58,560 Speaker 1: So for me, it's not you know, you've been on 1011 01:02:58,640 --> 01:02:59,320 Speaker 1: K Street lately. 1012 01:03:00,080 --> 01:03:03,800 Speaker 2: It's not just the size, but what is the impact? 1013 01:03:03,920 --> 01:03:05,240 Speaker 2: And I think the reason. 1014 01:03:05,040 --> 01:03:07,000 Speaker 1: How do you say that? I would say arguably right 1015 01:03:07,000 --> 01:03:10,760 Speaker 1: now that the between there are two industries that are 1016 01:03:10,800 --> 01:03:13,680 Speaker 1: over indexed in Washington and they seem to get whatever 1017 01:03:13,720 --> 01:03:16,120 Speaker 1: they want because of how much campaign money they give, 1018 01:03:16,600 --> 01:03:19,160 Speaker 1: and that is the crypto and AI. 1019 01:03:19,960 --> 01:03:23,320 Speaker 2: Well, I think there's a lot to be said for that, 1020 01:03:23,600 --> 01:03:27,080 Speaker 2: and I think, look, I think there's always been big 1021 01:03:27,160 --> 01:03:33,720 Speaker 2: companies who use political contributions and lobbying power to get 1022 01:03:33,760 --> 01:03:37,560 Speaker 2: what they want at the benefit at the expense of 1023 01:03:37,600 --> 01:03:40,120 Speaker 2: what might be the common good, and that is a 1024 01:03:40,160 --> 01:03:44,640 Speaker 2: real problem. I think what's a little more concerning on 1025 01:03:44,760 --> 01:03:48,840 Speaker 2: the AI front, though, is the idea that there could 1026 01:03:48,840 --> 01:03:54,040 Speaker 2: be four or five or six companies that actually are 1027 01:03:54,320 --> 01:03:59,680 Speaker 2: almost determining the structure of the economy, not just benefiting 1028 01:04:00,280 --> 01:04:03,560 Speaker 2: their company at the expense of some higher prices for 1029 01:04:03,680 --> 01:04:08,640 Speaker 2: other people, which is itself very problematic, but where it 1030 01:04:08,720 --> 01:04:12,920 Speaker 2: looks like they're determining policy. And I do see sometimes 1031 01:04:12,960 --> 01:04:15,480 Speaker 2: when I look at the White House, you know, I 1032 01:04:15,520 --> 01:04:21,720 Speaker 2: do wonder our six or seven companies contributing whispering in 1033 01:04:21,800 --> 01:04:25,840 Speaker 2: the ear. Are you seeing companies, you know, whether it's 1034 01:04:25,920 --> 01:04:32,360 Speaker 2: crypto or AI or other places, actually part of deals 1035 01:04:32,360 --> 01:04:37,919 Speaker 2: that are actually benefiting in a more corrupt way individuals 1036 01:04:37,920 --> 01:04:42,120 Speaker 2: associated with the administration. That is very concerning. Now, look, 1037 01:04:42,240 --> 01:04:45,600 Speaker 2: some of the heads of these big AI companies have 1038 01:04:45,880 --> 01:04:49,160 Speaker 2: notably gone out and said, we need to think about 1039 01:04:49,200 --> 01:04:53,240 Speaker 2: what's best for the country. But the fact is that 1040 01:04:53,280 --> 01:04:56,440 Speaker 2: when I still look at what's happening every day, it 1041 01:04:56,480 --> 01:05:02,560 Speaker 2: looks like rush fast, hygien growth, high wealth, get things 1042 01:05:02,600 --> 01:05:07,200 Speaker 2: built as quickly as possible, and those discussions about what's 1043 01:05:07,240 --> 01:05:10,920 Speaker 2: best for jobs or people or the economic dignity of 1044 01:05:10,960 --> 01:05:14,040 Speaker 2: people is being lost. And my prediction is going to 1045 01:05:14,080 --> 01:05:17,560 Speaker 2: what you said at the beginning, is if people don't 1046 01:05:17,600 --> 01:05:21,640 Speaker 2: start talking about how to shape AI so that it 1047 01:05:21,800 --> 01:05:27,120 Speaker 2: is benefiting everyone, they're going to get a backlash that 1048 01:05:27,120 --> 01:05:31,880 Speaker 2: that might be even harsher than is desired. 1049 01:05:31,960 --> 01:05:34,960 Speaker 1: So we never do prevent very well so it's. 1050 01:05:34,840 --> 01:05:39,640 Speaker 2: Benefiting everyone, and not have this perception that the White 1051 01:05:39,640 --> 01:05:42,880 Speaker 2: House listens to five or six major companies and they 1052 01:05:43,240 --> 01:05:47,760 Speaker 2: not the American people are determining what the what the 1053 01:05:47,800 --> 01:05:49,720 Speaker 2: path of our economic future will be. 1054 01:05:50,760 --> 01:05:53,440 Speaker 1: Well, take me back to your time in the Biden 1055 01:05:53,480 --> 01:05:56,880 Speaker 1: White House when these AI companies were looking for more 1056 01:05:56,880 --> 01:06:03,000 Speaker 1: government assistance to excel rate what they were doing. Did 1057 01:06:03,040 --> 01:06:06,680 Speaker 1: you feel like they had a gun to the head, like, well, 1058 01:06:06,800 --> 01:06:08,360 Speaker 1: you know, you either help us out here we're going 1059 01:06:08,360 --> 01:06:10,400 Speaker 1: with the other guys, or I. 1060 01:06:10,320 --> 01:06:12,960 Speaker 2: Can't you know, at this time of that life, I 1061 01:06:13,080 --> 01:06:16,080 Speaker 2: wasn't the National Economic consol Director, so I was running 1062 01:06:16,080 --> 01:06:17,320 Speaker 2: the American Rescue. 1063 01:06:17,360 --> 01:06:18,920 Speaker 1: You didn't really have a good you didn't have a 1064 01:06:18,920 --> 01:06:19,840 Speaker 1: good window into that. 1065 01:06:20,000 --> 01:06:22,840 Speaker 2: With the air I didn't see as much. But I 1066 01:06:22,920 --> 01:06:27,440 Speaker 2: never had the feeling. No, I never had that that feeling. 1067 01:06:27,560 --> 01:06:31,280 Speaker 2: And to be quite honest, I think in some ways, 1068 01:06:31,800 --> 01:06:35,280 Speaker 2: the Trump White House has invited that, you know. I 1069 01:06:35,320 --> 01:06:39,000 Speaker 2: think I don't think that the AI companies would feel like, 1070 01:06:39,720 --> 01:06:43,880 Speaker 2: oh my, if you didn't do exactly what Joe Biden wanted, 1071 01:06:44,360 --> 01:06:46,640 Speaker 2: he was going to go out and punish you, or 1072 01:06:46,680 --> 01:06:51,280 Speaker 2: single you out, or call in the Justice Department, the 1073 01:06:51,320 --> 01:06:55,360 Speaker 2: criminal part of the Justice Department on you. I think that, 1074 01:06:57,000 --> 01:06:59,800 Speaker 2: you know, I think what you've seen more recently is 1075 01:07:00,240 --> 01:07:02,800 Speaker 2: really the most unattractive thing I think I've seen in 1076 01:07:02,800 --> 01:07:06,720 Speaker 2: my political life, which is that the most well off 1077 01:07:06,840 --> 01:07:11,040 Speaker 2: people and the most well off companies are the first 1078 01:07:11,080 --> 01:07:17,800 Speaker 2: ones to take a knee and to and to do 1079 01:07:17,880 --> 01:07:21,560 Speaker 2: whatever this administration wants. So as much as I agree 1080 01:07:22,000 --> 01:07:25,720 Speaker 2: that we need to be concerned about the lobbying and 1081 01:07:25,800 --> 01:07:31,040 Speaker 2: political power of major companies and are determining the path 1082 01:07:31,080 --> 01:07:34,920 Speaker 2: on AI, in this situation, it's a little bit like 1083 01:07:35,040 --> 01:07:39,480 Speaker 2: the White House kind of invited it, you know, a 1084 01:07:39,560 --> 01:07:42,160 Speaker 2: little bit of give money. 1085 01:07:42,240 --> 01:07:43,600 Speaker 1: As I said, you know he's not. 1086 01:07:44,600 --> 01:07:45,760 Speaker 2: And you'll have influence. 1087 01:07:45,880 --> 01:07:49,120 Speaker 1: And if not everybody knows, everybody knows how it works. 1088 01:07:49,240 --> 01:07:51,200 Speaker 1: You write a big enough check to the right entity, 1089 01:07:51,280 --> 01:07:52,160 Speaker 1: you're going to get a meeting. 1090 01:07:52,640 --> 01:07:54,880 Speaker 2: So I just don't think you would have seen that 1091 01:07:55,000 --> 01:07:58,680 Speaker 2: kind of behavior, you know, towards the Biden administration, because 1092 01:07:58,720 --> 01:08:01,000 Speaker 2: one it wouldn't have been tolerant but too On the 1093 01:08:01,080 --> 01:08:06,280 Speaker 2: other hand, we wouldn't have been out there telling American companies, 1094 01:08:07,640 --> 01:08:12,480 Speaker 2: you know, do as we say, or or American universities 1095 01:08:12,560 --> 01:08:15,400 Speaker 2: or American law firms that you have to get in 1096 01:08:15,520 --> 01:08:18,400 Speaker 2: line or there's going to be consequences. They may not 1097 01:08:18,439 --> 01:08:21,920 Speaker 2: have liked our climate policy, they may have disagreed with 1098 01:08:21,960 --> 01:08:26,080 Speaker 2: some anti trust policy, but the notion of you contribute 1099 01:08:26,120 --> 01:08:29,920 Speaker 2: and get in line, or you will face consequences. Was 1100 01:08:30,080 --> 01:08:34,080 Speaker 2: just not part of the bid. No Harris administration. 1101 01:08:34,640 --> 01:08:35,800 Speaker 1: All right, I'm going to get you out of here 1102 01:08:35,800 --> 01:08:37,519 Speaker 1: on what I think is the toughest question. I'm gonna 1103 01:08:37,520 --> 01:08:43,120 Speaker 1: ask you, Jim Harball. Good feelings are bad feelings when 1104 01:08:43,120 --> 01:08:44,599 Speaker 1: you think about Michigan football. 1105 01:08:45,680 --> 01:08:46,439 Speaker 2: Good feelings. 1106 01:08:47,920 --> 01:08:50,880 Speaker 1: You know, you look at this situation because you know, 1107 01:08:51,360 --> 01:08:54,439 Speaker 1: are you do you wish he were still there? Or 1108 01:08:54,439 --> 01:08:56,519 Speaker 1: do you feel like, Nope, we got our title and 1109 01:08:56,600 --> 01:08:57,320 Speaker 1: I'm glad he left. 1110 01:08:58,280 --> 01:09:01,400 Speaker 2: I think that for a while of reasons it made 1111 01:09:01,439 --> 01:09:05,320 Speaker 2: sense for him to go. But look, I've been just 1112 01:09:05,600 --> 01:09:10,559 Speaker 2: an incredible Michigan football, Michigan basketball, Detroit Lions, Detroit Tigers, 1113 01:09:10,560 --> 01:09:14,000 Speaker 2: Detroit Pistons fan for six nice runners. 1114 01:09:14,680 --> 01:09:16,840 Speaker 1: It's finally coming together six seven. 1115 01:09:17,080 --> 01:09:20,559 Speaker 2: So I've never had a football team in the I've 1116 01:09:20,640 --> 01:09:24,280 Speaker 2: never had the Lions in the super Bowl, the Tigers. 1117 01:09:24,320 --> 01:09:26,840 Speaker 2: We've had two World Series in my life. So let's 1118 01:09:26,880 --> 01:09:31,320 Speaker 2: just say I'm not I'm more like the AI startup 1119 01:09:31,439 --> 01:09:34,960 Speaker 2: than Navidia. You know, Navidia is like the Patriot fans. 1120 01:09:35,000 --> 01:09:39,120 Speaker 2: They have so much, they have so much. But I 1121 01:09:39,200 --> 01:09:45,000 Speaker 2: will say that two thousand that two thousand and three, 1122 01:09:45,080 --> 01:09:49,880 Speaker 2: two thousand and four. I mean that NCAA championship game, 1123 01:09:50,400 --> 01:09:53,320 Speaker 2: being there with my family at Michigan Ohio State, being 1124 01:09:53,320 --> 01:09:56,280 Speaker 2: there at the Rose Bawl when they beat Alabama. I 1125 01:09:56,280 --> 01:09:59,000 Speaker 2: think that was kind of like you said, your whole life, 1126 01:09:59,120 --> 01:10:02,320 Speaker 2: if we ever won an national championship outright like that, 1127 01:10:02,840 --> 01:10:05,160 Speaker 2: I won't ask for anything more. I feel like I 1128 01:10:05,200 --> 01:10:07,560 Speaker 2: have to honor that for a few more years. 1129 01:10:07,760 --> 01:10:11,280 Speaker 1: And and you you never felt like the ninety seven 1130 01:10:11,400 --> 01:10:13,960 Speaker 1: title was just because you split it with Nebraska. It 1131 01:10:14,000 --> 01:10:15,040 Speaker 1: never felt perfect. 1132 01:10:17,000 --> 01:10:19,880 Speaker 2: It did never feel quite as perfect, though I was 1133 01:10:20,040 --> 01:10:22,920 Speaker 2: very happy, and I still to this day. You ready 1134 01:10:22,920 --> 01:10:27,200 Speaker 2: for this. When Michigan came for their their ceremony with Bill, 1135 01:10:27,360 --> 01:10:27,559 Speaker 2: did you. 1136 01:10:27,560 --> 01:10:30,600 Speaker 1: Guys invite them both? By the way, that Clinton the. 1137 01:10:30,600 --> 01:10:34,920 Speaker 2: Same day, but they had separate ceremonies. Interesting and the 1138 01:10:35,080 --> 01:10:38,240 Speaker 2: and the Bill Clinton and the Michigan one was right 1139 01:10:38,320 --> 01:10:41,400 Speaker 2: before a budget meeting, so they gave Bill Clinton a 1140 01:10:41,520 --> 01:10:45,200 Speaker 2: hat that he wore, and he came into the budget meeting. 1141 01:10:45,200 --> 01:10:47,599 Speaker 2: He was in the cabinet office and the first thing 1142 01:10:47,640 --> 01:10:50,639 Speaker 2: he did was fling me the cap. So I still 1143 01:10:50,760 --> 01:10:54,280 Speaker 2: have the hat that the ninety seven Michigan football team 1144 01:10:55,280 --> 01:10:59,599 Speaker 2: presented to him, and I also had the benefit of 1145 01:11:00,160 --> 01:11:05,479 Speaker 2: Jim Harbaugh brought the team to d C during the 1146 01:11:05,520 --> 01:11:09,120 Speaker 2: Biden administration. I got invited to go over and be 1147 01:11:09,240 --> 01:11:11,559 Speaker 2: the dinner speaker at one of their whole dinners and 1148 01:11:11,640 --> 01:11:14,760 Speaker 2: hang out with him and them, and so oh, he 1149 01:11:15,000 --> 01:11:17,720 Speaker 2: will always be thankful for Jim Harbaugh for that. You know. 1150 01:11:17,760 --> 01:11:19,920 Speaker 1: It's funny about Jim Harbaugh, and I take it you've 1151 01:11:19,960 --> 01:11:21,600 Speaker 1: gotten to know him a little bit. A lot of 1152 01:11:21,640 --> 01:11:25,519 Speaker 1: people try to pigeonhole his politics. I'm guessing he's like 1153 01:11:25,600 --> 01:11:28,240 Speaker 1: most Americans. It's not as predictable as people try to 1154 01:11:28,280 --> 01:11:30,920 Speaker 1: make them out to be. He's pretty passionate on some issues, 1155 01:11:30,960 --> 01:11:34,400 Speaker 1: like I know, reproductive rights and things like that, and 1156 01:11:34,479 --> 01:11:36,640 Speaker 1: so people just assume he's in one place, but he 1157 01:11:36,680 --> 01:11:41,160 Speaker 1: seems like he's genuinely like your typical Midwestern independent. There's 1158 01:11:41,200 --> 01:11:43,040 Speaker 1: a little bit of you don't quite know where he's 1159 01:11:43,080 --> 01:11:43,519 Speaker 1: coming down. 1160 01:11:43,600 --> 01:11:45,719 Speaker 2: Well, you know, yes, And it goes to the question 1161 01:11:45,800 --> 01:11:48,400 Speaker 2: you asked me before. I think people who sit around 1162 01:11:48,439 --> 01:11:52,639 Speaker 2: and think, oh, should we be angry, populist or centrist, 1163 01:11:53,000 --> 01:11:55,200 Speaker 2: it's not the right way to think. Think about real 1164 01:11:55,280 --> 01:11:58,280 Speaker 2: people what's best for their lives. What's best for their family. 1165 01:11:58,640 --> 01:12:01,040 Speaker 2: That's gonna I think, as we said, that's going to 1166 01:12:01,080 --> 01:12:04,160 Speaker 2: make for some populist anger, but it's but you should 1167 01:12:04,200 --> 01:12:07,160 Speaker 2: think about their lives. And I think, yes, Jim Harbaugh 1168 01:12:07,200 --> 01:12:09,560 Speaker 2: is one of those people that's a bit more complicated. 1169 01:12:09,640 --> 01:12:13,200 Speaker 2: It's very clear his wife is very pro life and 1170 01:12:13,240 --> 01:12:17,160 Speaker 2: he's respected. That is the other hand. The real highlight 1171 01:12:17,360 --> 01:12:19,880 Speaker 2: of my you know, one of the highlights of my 1172 01:12:20,640 --> 01:12:24,120 Speaker 2: time in the Bide administration was I was speaking to 1173 01:12:24,240 --> 01:12:29,200 Speaker 2: the Legal Service Legal services, you know, the people who 1174 01:12:29,360 --> 01:12:35,080 Speaker 2: represent the poor, and as they brought, knowing my background, 1175 01:12:35,080 --> 01:12:39,040 Speaker 2: they brought Jim Harbaugh on to introduce me. Why because 1176 01:12:39,200 --> 01:12:44,360 Speaker 2: Jim Harbaugh has been a huge advocate of legal services 1177 01:12:44,400 --> 01:12:48,320 Speaker 2: for the poor and is actually on the National Advisory Board. 1178 01:12:48,880 --> 01:12:51,960 Speaker 2: So yeah, he's a little more complicated, and I think 1179 01:12:52,000 --> 01:12:54,680 Speaker 2: a lot of Americans are a little more complicated and 1180 01:12:54,840 --> 01:12:55,760 Speaker 2: exactly that way. 1181 01:12:56,040 --> 01:12:59,519 Speaker 1: So have you become LA's only Chargers fan now, because 1182 01:12:59,520 --> 01:13:01,479 Speaker 1: I know there's people are looking for Charger fans in 1183 01:13:01,600 --> 01:13:02,799 Speaker 1: LA if they find them. 1184 01:13:03,360 --> 01:13:06,840 Speaker 2: Now, I'm a Lions fan. I'm lucky enough to kind 1185 01:13:06,880 --> 01:13:10,640 Speaker 2: of know a couple of the owners of the Commanders. 1186 01:13:10,680 --> 01:13:13,320 Speaker 2: So I think if I have a second team now 1187 01:13:14,920 --> 01:13:18,080 Speaker 2: it's the Commanders, but first team first and always will 1188 01:13:18,120 --> 01:13:19,679 Speaker 2: always be the Detroit Lions. 1189 01:13:20,000 --> 01:13:22,760 Speaker 1: Well look, it's a you know I. The only good 1190 01:13:22,760 --> 01:13:24,320 Speaker 1: news for you living out there in la Is you 1191 01:13:24,400 --> 01:13:26,120 Speaker 1: might be able to see Tarik Schooble pitch as a 1192 01:13:26,160 --> 01:13:28,840 Speaker 1: Dodger before the season ends, which will really piss you off. 1193 01:13:28,880 --> 01:13:30,720 Speaker 2: The only good news for me being out in la 1194 01:13:31,160 --> 01:13:35,160 Speaker 2: Is One word weather, second word weather, third word weather. 1195 01:13:37,240 --> 01:13:38,960 Speaker 1: Jane, It's always fun to talk with you. Good to 1196 01:13:39,000 --> 01:13:40,639 Speaker 1: catch Thanks all right, my friend. 1197 01:13:40,800 --> 01:13:41,160 Speaker 2: Bye bye,