1 00:00:00,200 --> 00:00:15,280 Speaker 1: Hi, everyone, it's Sophia. Welcome to Work in Progress. High 2 00:00:15,280 --> 00:00:17,919 Speaker 1: whip Smarties. Today we are joined by one of my 3 00:00:18,040 --> 00:00:21,920 Speaker 1: smartest friends and someone that I look up to in 4 00:00:22,000 --> 00:00:24,680 Speaker 1: every single way, both from the way she lives her 5 00:00:24,720 --> 00:00:27,120 Speaker 1: life and runs her career to who she is as 6 00:00:27,160 --> 00:00:30,640 Speaker 1: a person. Today, I'm sitting down with Serlina Maxwell, who 7 00:00:30,720 --> 00:00:35,840 Speaker 1: you likely know as an incredible American cable television host, 8 00:00:35,960 --> 00:00:40,760 Speaker 1: political analyst, commentator, speaker, and author. She writes and speaks 9 00:00:40,840 --> 00:00:47,040 Speaker 1: about everything politics, culture, gender inequity, sexual consent, racism, and 10 00:00:47,159 --> 00:00:51,680 Speaker 1: so many other topics that affect all of us. She 11 00:00:52,000 --> 00:00:55,720 Speaker 1: is a survivor and an activist. She holds a degree 12 00:00:55,720 --> 00:00:59,280 Speaker 1: from Rutgers Law School. Started out as a field organizer 13 00:00:59,320 --> 00:01:02,240 Speaker 1: in two thousand and eight on the Obama campaign and then 14 00:01:02,440 --> 00:01:04,800 Speaker 1: was the director of Progressive Media for the Hillary Clinton 15 00:01:04,840 --> 00:01:09,000 Speaker 1: campaign in twenty sixteen. She is a director of Programming 16 00:01:09,000 --> 00:01:12,640 Speaker 1: at SiriusXM, now hosts her weekly show on Sirius called 17 00:01:12,680 --> 00:01:17,240 Speaker 1: Signal Boost and her daily show Mornings with Zerlina on 18 00:01:17,520 --> 00:01:21,280 Speaker 1: SERRIOUSXM Channel one twenty seven. And as if that wasn't enough, 19 00:01:21,640 --> 00:01:25,040 Speaker 1: she wrote an incredible book called The End of Wait Politics, 20 00:01:25,640 --> 00:01:29,080 Speaker 1: which we're kind of having to reanalyze now because a 21 00:01:29,080 --> 00:01:33,520 Speaker 1: lot of fear mongering decided the last election. I'm going 22 00:01:33,560 --> 00:01:36,520 Speaker 1: to talk to her today about the way that she 23 00:01:36,560 --> 00:01:39,800 Speaker 1: sees the current state of things, how she's figuring out 24 00:01:39,800 --> 00:01:44,960 Speaker 1: how to communicate that the political is actually everywhere around 25 00:01:45,040 --> 00:01:48,200 Speaker 1: us and is so deeply personal with her audience with 26 00:01:48,280 --> 00:01:50,840 Speaker 1: people who agree with her and people who don't. And 27 00:01:51,160 --> 00:01:53,200 Speaker 1: she's going to give us a little preview in her 28 00:01:53,240 --> 00:01:57,120 Speaker 1: next project, she is launching a new substack called the 29 00:01:57,120 --> 00:02:01,480 Speaker 1: Inner Work Dispatch on Monday mornings because she realized, like 30 00:02:01,800 --> 00:02:04,480 Speaker 1: many of us, that she needs to do a little 31 00:02:04,480 --> 00:02:08,720 Speaker 1: more work on her mental health care and on her 32 00:02:08,760 --> 00:02:12,440 Speaker 1: own wellness. She tries to ensure the wellness of the world. 33 00:02:13,080 --> 00:02:16,519 Speaker 1: I cannot wait to dive in today. Let's hear from Serlina. 34 00:02:27,440 --> 00:02:29,640 Speaker 1: I how where are you? 35 00:02:30,040 --> 00:02:32,760 Speaker 2: I'm okay. I actually I just moved. 36 00:02:32,840 --> 00:02:34,679 Speaker 3: I don't know if you saw on the thread or 37 00:02:34,720 --> 00:02:36,920 Speaker 3: if they told you that, or if I mentioned that 38 00:02:37,280 --> 00:02:40,919 Speaker 3: I was moving to Sicily, and so I just literally 39 00:02:41,560 --> 00:02:44,760 Speaker 3: to Sunday, I moved to Sicily. So it's been a 40 00:02:44,760 --> 00:02:47,280 Speaker 3: little bit crazy this week, just like because you have 41 00:02:47,360 --> 00:02:50,240 Speaker 3: to like do all this stuff, like when you first 42 00:02:50,320 --> 00:02:53,480 Speaker 3: move in terms of like your resident your permit to stay, 43 00:02:53,560 --> 00:02:56,600 Speaker 3: and so getting a Italian phone number. Like, there's just 44 00:02:56,639 --> 00:03:01,360 Speaker 3: a lot going on. But why I'm able to like 45 00:03:01,480 --> 00:03:02,840 Speaker 3: do my show from. 46 00:03:02,720 --> 00:03:04,920 Speaker 1: Me, I was gonna ask, how does that work? 47 00:03:05,400 --> 00:03:07,680 Speaker 3: Yeah, well, it looks it works out for me pretty 48 00:03:07,720 --> 00:03:09,760 Speaker 3: well because the show's at seven o'clock in the morning, 49 00:03:09,800 --> 00:03:10,640 Speaker 3: so here it's not. 50 00:03:10,600 --> 00:03:11,760 Speaker 2: Seven o'clock in the morning. 51 00:03:12,720 --> 00:03:13,080 Speaker 1: Yeah. 52 00:03:14,280 --> 00:03:17,040 Speaker 3: But uh, and and it just like gives me a 53 00:03:17,040 --> 00:03:21,200 Speaker 3: different quality of life. You know, I can I live 54 00:03:21,240 --> 00:03:23,880 Speaker 3: by the water, I can, you know, go from my 55 00:03:24,000 --> 00:03:25,240 Speaker 3: run or walk by the water. 56 00:03:25,600 --> 00:03:28,440 Speaker 2: And I just I don't know. I was here. 57 00:03:30,160 --> 00:03:32,600 Speaker 3: I was in Italy in Rome for like five months 58 00:03:32,680 --> 00:03:36,200 Speaker 3: of twenty twenty four, and then I spent the last 59 00:03:36,280 --> 00:03:40,640 Speaker 3: month ironically the I spent the election day and day 60 00:03:40,760 --> 00:03:45,640 Speaker 3: weeks after here in Palermo. And I I feel like 61 00:03:45,680 --> 00:03:47,920 Speaker 3: it was meant to be that way, because I was 62 00:03:48,000 --> 00:03:51,040 Speaker 3: like obviously stunned, just like everybody else, but I was 63 00:03:51,320 --> 00:03:54,200 Speaker 3: also in like I felt removed from it, so my 64 00:03:54,560 --> 00:03:55,120 Speaker 3: head was. 65 00:03:55,080 --> 00:03:58,720 Speaker 1: Clear, Yeah, you had a little distance. 66 00:03:58,480 --> 00:03:59,240 Speaker 2: Yeah, and. 67 00:04:00,840 --> 00:04:04,600 Speaker 3: I was able to like form thoughts about it in 68 00:04:04,640 --> 00:04:08,000 Speaker 3: a way that I didn't I after in twenty sixteen. 69 00:04:08,080 --> 00:04:12,080 Speaker 3: I was just like couldn't speak, you know, like it 70 00:04:12,160 --> 00:04:17,240 Speaker 3: was different than that. Yeah, and so yeah, I'm here 71 00:04:17,279 --> 00:04:18,240 Speaker 3: for at least a year. 72 00:04:19,360 --> 00:04:22,599 Speaker 2: That's what the visas for. So we'll just we'll see. 73 00:04:23,160 --> 00:04:27,920 Speaker 1: That's so exciting. I spent some time near the end 74 00:04:27,960 --> 00:04:31,000 Speaker 1: of twenty twenty three in Italy with my mom's family, 75 00:04:32,080 --> 00:04:35,400 Speaker 1: and it was so special and I definitely had sort 76 00:04:35,400 --> 00:04:38,119 Speaker 1: of thoughts of maybe this is what I do, Maybe 77 00:04:38,120 --> 00:04:40,599 Speaker 1: this is where I go, maybe I start over. 78 00:04:41,320 --> 00:04:45,159 Speaker 3: There's something special about Italy. I think a lot of people. 79 00:04:45,320 --> 00:04:47,280 Speaker 3: I mean, obviously it's a popular place for people to 80 00:04:47,360 --> 00:04:51,719 Speaker 3: go on vacation, but I quickly learned and just talking 81 00:04:51,800 --> 00:04:53,800 Speaker 3: to people, first of all, I mean it depends where 82 00:04:53,839 --> 00:04:58,480 Speaker 3: you are obviously in Italy, but in southern Italy and 83 00:04:58,520 --> 00:05:02,440 Speaker 3: in Sicily, the people their warmth is real, Like that's real, 84 00:05:02,920 --> 00:05:06,799 Speaker 3: and they I don't know, there's the way they are 85 00:05:07,040 --> 00:05:10,119 Speaker 3: is different, and it's actually very I learn a lot 86 00:05:10,360 --> 00:05:14,640 Speaker 3: about like being present and you know, when I go out, 87 00:05:14,839 --> 00:05:18,039 Speaker 3: not having my phone out, and talking to people face 88 00:05:18,080 --> 00:05:20,680 Speaker 3: to face and having like face to face interactions and 89 00:05:20,720 --> 00:05:23,960 Speaker 3: like connecting with people in a way that I just 90 00:05:24,040 --> 00:05:24,640 Speaker 3: wasn't doing. 91 00:05:25,640 --> 00:05:27,400 Speaker 2: I lived in Washington, d C. 92 00:05:27,640 --> 00:05:32,120 Speaker 3: Before I started my trips to Italy, and I was 93 00:05:33,040 --> 00:05:35,600 Speaker 3: the most I mean, my mother died at the end 94 00:05:35,600 --> 00:05:38,200 Speaker 3: of twenty twenty two, so I was like in a 95 00:05:38,360 --> 00:05:40,560 Speaker 3: period of grief and like all of that, but like 96 00:05:40,680 --> 00:05:43,080 Speaker 3: also in Washington, d C. I was the most sad 97 00:05:43,120 --> 00:05:48,920 Speaker 3: I've been since I was like maybe nineteen, and I 98 00:05:49,000 --> 00:05:51,359 Speaker 3: was like, I have to get out of here. My 99 00:05:51,480 --> 00:05:55,039 Speaker 3: therapist like, you can move, you were remotely. 100 00:05:55,480 --> 00:05:59,400 Speaker 1: So do you think that's sadness? I mean, of course, 101 00:05:59,480 --> 00:06:02,120 Speaker 1: losing your mom is like, what a deep wall of 102 00:06:02,160 --> 00:06:05,640 Speaker 1: grief to have to fall into. But do you think 103 00:06:05,680 --> 00:06:11,320 Speaker 1: some of that larger sadness geographically was coming from a 104 00:06:11,360 --> 00:06:17,400 Speaker 1: sensitivity to just how crazy things have gotten in our system? 105 00:06:17,480 --> 00:06:21,160 Speaker 1: I mean, you know, we we're all old enough to remember, 106 00:06:21,440 --> 00:06:25,480 Speaker 1: you know, policy fights and debates about legislation and budgets 107 00:06:25,520 --> 00:06:30,960 Speaker 1: and priorities and things. But the Pandora's box that the 108 00:06:31,080 --> 00:06:38,040 Speaker 1: first not even election, I would say, the first Trump campaign, yeah, 109 00:06:38,360 --> 00:06:42,280 Speaker 1: opened right, you know in twenty fifteen leading into twenty sixteen. 110 00:06:43,240 --> 00:06:48,800 Speaker 1: I I like, you can't believe we're back here. I 111 00:06:49,720 --> 00:06:52,280 Speaker 1: was so shocked and also not at all surprised, which 112 00:06:52,320 --> 00:06:56,960 Speaker 1: is a sort of heartbreak that I had to wrestle 113 00:06:57,040 --> 00:07:00,400 Speaker 1: with for a few months. You know, the experience of 114 00:07:01,480 --> 00:07:05,800 Speaker 1: I believe we're better than this. I guess we're just not. 115 00:07:06,960 --> 00:07:07,120 Speaker 2: No. 116 00:07:07,200 --> 00:07:10,400 Speaker 3: I literally, well, my book is about how we are 117 00:07:10,480 --> 00:07:13,080 Speaker 3: better than this. I thought I thought we would be 118 00:07:13,160 --> 00:07:15,920 Speaker 3: in a very different place. I did not allow my 119 00:07:15,920 --> 00:07:19,080 Speaker 3: brain to think that she may not win. I knew 120 00:07:19,160 --> 00:07:23,000 Speaker 3: obviously that it was going to be really hard, right, 121 00:07:23,520 --> 00:07:25,560 Speaker 3: and also she's a woman, and she's a black woman, 122 00:07:25,560 --> 00:07:27,840 Speaker 3: and she onlyan one hundred days, like yeah, one hundred 123 00:07:27,840 --> 00:07:30,840 Speaker 3: and seven, So all those things. I just didn't allow 124 00:07:30,840 --> 00:07:32,800 Speaker 3: my brain to even go there. So when it happened, 125 00:07:32,840 --> 00:07:36,600 Speaker 3: I was like, this is not happening. I don't I 126 00:07:36,720 --> 00:07:39,720 Speaker 3: just sat there for a second and I was like, Okay, 127 00:07:40,680 --> 00:07:43,360 Speaker 3: thank god I'm here because I can go and run 128 00:07:43,520 --> 00:07:48,440 Speaker 3: and listen to loud Regie music and just like get 129 00:07:48,560 --> 00:07:51,320 Speaker 3: that out of my body. Because I was like, it 130 00:07:51,400 --> 00:07:55,920 Speaker 3: was like a primal screen almost like yeah. 131 00:07:54,800 --> 00:07:57,080 Speaker 1: And I think, what's hard to you know, and now 132 00:07:57,080 --> 00:07:58,680 Speaker 1: that we're in it, let's be in it. I think 133 00:07:58,760 --> 00:08:02,920 Speaker 1: what's hard for me is to see the level of 134 00:08:03,000 --> 00:08:05,640 Speaker 1: destruction and the sort of shock that a lot of 135 00:08:05,640 --> 00:08:07,680 Speaker 1: people are in that he's actually doing what he said 136 00:08:07,680 --> 00:08:09,920 Speaker 1: he would do, right, And many of us are like, 137 00:08:09,960 --> 00:08:11,360 Speaker 1: he told you the whole time he was going to 138 00:08:11,480 --> 00:08:13,400 Speaker 1: do this, Like what are you what are you talking about? 139 00:08:13,800 --> 00:08:14,880 Speaker 2: Yeah, and. 140 00:08:16,160 --> 00:08:19,840 Speaker 1: It's odd. It's been odd for me. You know. There's 141 00:08:19,840 --> 00:08:23,080 Speaker 1: another woman kind of who is in our long time 142 00:08:23,120 --> 00:08:29,080 Speaker 1: sphere of political activists who I just kind of caught 143 00:08:29,680 --> 00:08:31,480 Speaker 1: online the other day and I was like, oh, you're 144 00:08:31,600 --> 00:08:35,040 Speaker 1: you're a traitor, got it. You You thought that by 145 00:08:35,080 --> 00:08:39,960 Speaker 1: demonizing trans folks in America it might protect you. But 146 00:08:40,760 --> 00:08:43,880 Speaker 1: you you're a woman, and by the way, you're not 147 00:08:43,920 --> 00:08:46,000 Speaker 1: even a white woman. And this, this, this is not 148 00:08:46,040 --> 00:08:49,760 Speaker 1: good for women like me, let alone for any other woman, Like, like, 149 00:08:49,920 --> 00:08:53,120 Speaker 1: everybody has a target on their back unless they're you know, 150 00:08:53,240 --> 00:08:57,960 Speaker 1: a billionaire. And I think it's hard for me to 151 00:09:01,440 --> 00:09:07,600 Speaker 1: watch the swiftness and the cruelty. And also I think 152 00:09:07,640 --> 00:09:09,720 Speaker 1: it's why so many of us have been saying, listen 153 00:09:09,760 --> 00:09:12,480 Speaker 1: to the historians who are warning you about one hundred 154 00:09:12,559 --> 00:09:16,120 Speaker 1: year cycles, like this shit is not new. We can 155 00:09:16,160 --> 00:09:18,079 Speaker 1: tell you exactly where it starts, and we can tell 156 00:09:18,080 --> 00:09:20,720 Speaker 1: you exactly where it goes. And by the way, you know, 157 00:09:21,280 --> 00:09:24,960 Speaker 1: Hitler didn't start with Jews. He started with trans people, 158 00:09:25,280 --> 00:09:26,400 Speaker 1: That's where he started. 159 00:09:26,679 --> 00:09:27,000 Speaker 2: Yeah. 160 00:09:27,080 --> 00:09:30,120 Speaker 1: So literally, people who are like, what do you mean, 161 00:09:30,200 --> 00:09:31,719 Speaker 1: I'm like, this is why they've been banning books and 162 00:09:31,760 --> 00:09:34,800 Speaker 1: attacking the American education system for forty years, Like Mitch 163 00:09:34,880 --> 00:09:39,560 Speaker 1: McConnell's forty year plan is literally bearing fruit. I think 164 00:09:39,720 --> 00:09:42,160 Speaker 1: it can be tough when you've dedicated so much of 165 00:09:42,200 --> 00:09:49,240 Speaker 1: your life to understanding both history, potential and politics and 166 00:09:49,280 --> 00:09:53,880 Speaker 1: how it's actually in everything to figure out how to 167 00:09:54,000 --> 00:09:56,360 Speaker 1: communicate when you have a large platform like I do, 168 00:09:56,520 --> 00:09:58,600 Speaker 1: or you do with folks who just don't have as 169 00:09:58,640 --> 00:10:01,880 Speaker 1: many political touch points, who haven't been as in the 170 00:10:01,880 --> 00:10:05,760 Speaker 1: weeds for so long. And I guess before we get 171 00:10:05,760 --> 00:10:09,280 Speaker 1: into where you are, I just want everybody listening to 172 00:10:09,360 --> 00:10:11,600 Speaker 1: understand your background. We've done a lot of shows together, 173 00:10:11,880 --> 00:10:13,680 Speaker 1: so I don't want to ask you questions we've already 174 00:10:13,679 --> 00:10:16,160 Speaker 1: gone through. But I do want for somebody who maybe 175 00:10:16,160 --> 00:10:18,200 Speaker 1: this is their first time hearing us talk on my 176 00:10:18,280 --> 00:10:21,640 Speaker 1: show or yours, I want people to understand your background. 177 00:10:21,679 --> 00:10:24,640 Speaker 1: You know, like what first sparked your passion for politics? 178 00:10:24,960 --> 00:10:27,920 Speaker 1: When did you know that you wanted? And I don't 179 00:10:27,920 --> 00:10:29,960 Speaker 1: even want to call it political commentary. I think about 180 00:10:30,000 --> 00:10:33,920 Speaker 1: it as like political communication, like it's translation of a 181 00:10:33,960 --> 00:10:37,040 Speaker 1: system into words most of us can understand. When did 182 00:10:37,040 --> 00:10:39,960 Speaker 1: you know that you wanted that to be your life, 183 00:10:40,000 --> 00:10:40,600 Speaker 1: your career. 184 00:10:41,000 --> 00:10:44,040 Speaker 3: I feel like I knew that during the administration of 185 00:10:44,080 --> 00:10:44,560 Speaker 3: George W. 186 00:10:44,679 --> 00:10:45,239 Speaker 2: Bush. 187 00:10:45,280 --> 00:10:48,719 Speaker 3: And I've always been somebody who's been obsessed with politics 188 00:10:48,960 --> 00:10:50,000 Speaker 3: since I was a little kid. 189 00:10:50,120 --> 00:10:51,680 Speaker 2: I remember vividly. 190 00:10:52,480 --> 00:10:55,120 Speaker 3: I was eight and I was outside of school and 191 00:10:55,160 --> 00:10:56,839 Speaker 3: we were lined up to like go in. I think 192 00:10:56,880 --> 00:10:59,679 Speaker 3: I was in second or third grade back then, and 193 00:11:00,440 --> 00:11:01,560 Speaker 3: it was the election. 194 00:11:01,480 --> 00:11:05,000 Speaker 2: With George H. W. Bush and Michael Ducaccus. 195 00:11:04,520 --> 00:11:09,200 Speaker 3: And I remember like doing a little speech in front 196 00:11:09,240 --> 00:11:13,560 Speaker 3: of the school in elementary school telling the kids to 197 00:11:13,600 --> 00:11:17,040 Speaker 3: tell their parents to vote for Michael Ducaccus. 198 00:11:17,280 --> 00:11:18,800 Speaker 2: Now, no one told me to do this. 199 00:11:18,960 --> 00:11:21,680 Speaker 3: My parents, both of my parents, like I think my 200 00:11:21,720 --> 00:11:25,400 Speaker 3: mom was mostly a Democratic voter when I was growing up. 201 00:11:25,440 --> 00:11:28,640 Speaker 3: My dad actually was voted for a few Republicans there. 202 00:11:29,000 --> 00:11:31,240 Speaker 2: So nobody told me to do this. This was just like. 203 00:11:31,240 --> 00:11:34,240 Speaker 3: Completely me sitting in front of the TV as a little kid, 204 00:11:34,679 --> 00:11:38,760 Speaker 3: deciding I agree with those people and not those people 205 00:11:38,840 --> 00:11:41,480 Speaker 3: like that. It was a very like visceral thing for 206 00:11:41,600 --> 00:11:45,960 Speaker 3: me as a little kid, So fast forward to George W. 207 00:11:46,040 --> 00:11:51,280 Speaker 3: Bush's administration. I was literally obsessed, in part because at 208 00:11:51,280 --> 00:11:53,280 Speaker 3: the time I thought that was the worst we could do, 209 00:11:54,000 --> 00:12:00,400 Speaker 3: and I just couldn't imagine not trying to prevent his 210 00:12:00,760 --> 00:12:04,440 Speaker 3: you know, Republicans from continuing down this pass. So I 211 00:12:04,520 --> 00:12:07,360 Speaker 3: ended up on the Obama campaign in two thousand and 212 00:12:07,440 --> 00:12:13,439 Speaker 3: eight because I was like, if I don't do something well. One, 213 00:12:13,480 --> 00:12:17,160 Speaker 3: I felt like I couldn't complain if it didn't if 214 00:12:17,200 --> 00:12:18,080 Speaker 3: it didn't go well. 215 00:12:18,320 --> 00:12:20,360 Speaker 2: But also I was like, I have I need skin 216 00:12:20,440 --> 00:12:20,880 Speaker 2: in the game. 217 00:12:21,559 --> 00:12:23,960 Speaker 3: And I lived in New Jersey at the time, and 218 00:12:24,120 --> 00:12:26,439 Speaker 3: I decided I was like, well, New Jersey's not a 219 00:12:26,480 --> 00:12:28,960 Speaker 3: battleground state. So I think it was Chuck Todd in 220 00:12:29,000 --> 00:12:32,720 Speaker 3: his map, and I picked a yellow state, two yellow 221 00:12:32,760 --> 00:12:35,480 Speaker 3: states to apply it to Virginia and Pennsylvania. I got 222 00:12:35,600 --> 00:12:38,520 Speaker 3: jobs in both, but then decided to go to Virginia, 223 00:12:39,360 --> 00:12:42,160 Speaker 3: a state that I'm very closely connected to my family now. 224 00:12:42,320 --> 00:12:46,000 Speaker 3: My parents retired in Virginia, so Virginia is like a 225 00:12:46,080 --> 00:12:49,840 Speaker 3: state I know they're politics well, and I've been in 226 00:12:49,880 --> 00:12:53,160 Speaker 3: that state for many, many years. But I moved down 227 00:12:53,200 --> 00:12:55,360 Speaker 3: to Virginia. I worked for the Obama campaign as a 228 00:12:55,360 --> 00:12:59,120 Speaker 3: field organizer. This is before even my career in political 229 00:12:59,200 --> 00:13:03,200 Speaker 3: communications took time off law school went down. Was a 230 00:13:03,200 --> 00:13:06,000 Speaker 3: field organizer, knock on doors, and I really just learned 231 00:13:06,000 --> 00:13:08,480 Speaker 3: what organizing is all about. I mean, I think everybody 232 00:13:08,480 --> 00:13:12,480 Speaker 3: who starts in campaigns as a field organizer, that's like, 233 00:13:12,920 --> 00:13:16,040 Speaker 3: that's the grunt work. But it's the best work because 234 00:13:16,040 --> 00:13:19,080 Speaker 3: it teaches you all the different aspects of what's going 235 00:13:19,080 --> 00:13:21,280 Speaker 3: on in a campaign because people are coming in and 236 00:13:21,280 --> 00:13:22,400 Speaker 3: out of your field office. 237 00:13:22,600 --> 00:13:24,640 Speaker 2: But also you learn how to talk to people. 238 00:13:24,679 --> 00:13:28,600 Speaker 3: You learn how to communicate with people about what they 239 00:13:28,679 --> 00:13:31,199 Speaker 3: care about. Right, all kinds of people are coming into 240 00:13:31,240 --> 00:13:34,640 Speaker 3: your field office every day, mostly for yard signs, but 241 00:13:34,920 --> 00:13:39,720 Speaker 3: sometimes with other types of questions. And they really just 242 00:13:39,800 --> 00:13:42,920 Speaker 3: taught me that there's people of all ages and all backgrounds, 243 00:13:42,960 --> 00:13:46,520 Speaker 3: and you know, with so many different concerns, I mean, 244 00:13:46,960 --> 00:13:51,480 Speaker 3: and politics is one way to address those concerns. When 245 00:13:51,840 --> 00:13:54,080 Speaker 3: I first got that job in two thousand and eight 246 00:13:54,160 --> 00:13:56,880 Speaker 3: and all the organizers stood up and they were asked like, 247 00:13:56,960 --> 00:13:58,720 Speaker 3: why are you here, we went around the realm of 248 00:13:58,800 --> 00:14:02,040 Speaker 3: hundreds of people, and ninety five percent of the people 249 00:14:02,160 --> 00:14:05,000 Speaker 3: said health insurance. Healthcare was the reason why they were there, 250 00:14:05,040 --> 00:14:08,599 Speaker 3: So they had been impacted directly because parent, her grandparent, 251 00:14:09,200 --> 00:14:11,960 Speaker 3: and for me, I think that was a really emotional 252 00:14:12,040 --> 00:14:15,920 Speaker 3: experience because I realized that it's not just politics, right, 253 00:14:15,960 --> 00:14:18,080 Speaker 3: it's I mean a lot of people think politics is 254 00:14:19,360 --> 00:14:22,440 Speaker 3: a thing that doesn't affect them because they're not paying 255 00:14:22,480 --> 00:14:26,320 Speaker 3: attention to it. Right. It's, oh, well, that's that's politics, 256 00:14:26,360 --> 00:14:30,360 Speaker 3: that's Democrats and Republicans. No, it's it affects you every 257 00:14:30,400 --> 00:14:32,680 Speaker 3: single day, whether you know it or not. So I 258 00:14:32,720 --> 00:14:37,080 Speaker 3: think I learned in that in the grassroots way, how 259 00:14:37,200 --> 00:14:40,800 Speaker 3: politics intimately affects people, and I learned how to organize 260 00:14:40,800 --> 00:14:44,640 Speaker 3: on that campaign. The second campaign I worked was Hillary 261 00:14:44,640 --> 00:14:47,080 Speaker 3: Clinton in twenty sixteen. In between, I became a writer 262 00:14:47,680 --> 00:14:51,440 Speaker 3: and sort of had a profile as a writer and 263 00:14:51,480 --> 00:14:55,040 Speaker 3: a media personality and ended up on Hillary's campaign in 264 00:14:55,040 --> 00:14:59,800 Speaker 3: twenty sixteen based on that experience and what I learned 265 00:14:59,840 --> 00:15:01,760 Speaker 3: were on that campaign, I mean, it was a really 266 00:15:01,800 --> 00:15:06,200 Speaker 3: different job. I was a community communication staffer working on messaging. 267 00:15:06,360 --> 00:15:08,880 Speaker 2: I think that's how we started. 268 00:15:08,880 --> 00:15:12,400 Speaker 3: Communicating with each other because at the time Jess McIntosh, 269 00:15:12,560 --> 00:15:15,560 Speaker 3: my partner in feminism, as I like to describe her, 270 00:15:16,040 --> 00:15:19,720 Speaker 3: we were messaging to influencers, which no one knew what 271 00:15:19,720 --> 00:15:23,480 Speaker 3: that meant. Bay twenty sixteen, they were like, what what 272 00:15:23,600 --> 00:15:27,360 Speaker 3: is influencers? And we're like, we're doing influencer messaging and 273 00:15:27,400 --> 00:15:28,320 Speaker 3: they were like, yeah. 274 00:15:28,760 --> 00:15:29,360 Speaker 2: What does that mean? 275 00:15:30,520 --> 00:15:33,040 Speaker 3: But I think in twenty sixteen, what I learned in 276 00:15:34,320 --> 00:15:38,840 Speaker 3: that experience is that you really have to hit people 277 00:15:38,880 --> 00:15:39,360 Speaker 3: in the heart. 278 00:15:40,080 --> 00:15:41,600 Speaker 2: You know. There's something that. 279 00:15:41,520 --> 00:15:45,960 Speaker 3: We and I've been thinking about this idea all year 280 00:15:46,520 --> 00:15:54,320 Speaker 3: because there's something that is disconnected between what policies democrats 281 00:15:54,360 --> 00:15:58,080 Speaker 3: are talking about and what people are feeling, even if those. 282 00:15:57,880 --> 00:15:59,320 Speaker 2: Policies would would help with that. 283 00:16:00,360 --> 00:16:04,160 Speaker 3: I think, long story short, to bring it back around, 284 00:16:05,160 --> 00:16:08,480 Speaker 3: I think my experience both in two thousand and eight 285 00:16:08,600 --> 00:16:13,200 Speaker 3: and twenty sixteen taught me from different perspectives how to 286 00:16:13,280 --> 00:16:17,520 Speaker 3: actually reach people, right what do people care about, and 287 00:16:17,600 --> 00:16:20,560 Speaker 3: how to talk to them so they feel like you 288 00:16:20,680 --> 00:16:24,440 Speaker 3: hear them. And the things that you're talking about as 289 00:16:24,480 --> 00:16:29,200 Speaker 3: it relates to politics, which affects everybody, are all things 290 00:16:29,280 --> 00:16:31,400 Speaker 3: that they're like, oh, okay, I see how that can 291 00:16:31,440 --> 00:16:36,080 Speaker 3: help me, and they're not so defensive right away. 292 00:16:36,720 --> 00:16:39,720 Speaker 1: Yeah, we'll be back in just a minute. But here's 293 00:16:39,720 --> 00:16:46,040 Speaker 1: a word from our sponsors. There's a few things that 294 00:16:46,200 --> 00:16:48,320 Speaker 1: kind of come up for me, and I'm curious about 295 00:16:48,320 --> 00:16:52,400 Speaker 1: your lens, you know, much like you. The Oait election 296 00:16:52,880 --> 00:16:55,680 Speaker 1: for President Obama was that was my first it's a 297 00:16:55,680 --> 00:16:59,840 Speaker 1: political volunteer, and you know, by the time we all 298 00:16:59,880 --> 00:17:02,480 Speaker 1: got onto Hillary's campaign in twenty sixteen, I think we 299 00:17:02,480 --> 00:17:05,280 Speaker 1: were like, oh, we know what we're doing. We know 300 00:17:05,359 --> 00:17:07,800 Speaker 1: how to do this. Part of the reason storytellers are 301 00:17:07,840 --> 00:17:11,399 Speaker 1: so effective is because we can remind people take it 302 00:17:11,440 --> 00:17:14,000 Speaker 1: out of the policy specific language and talk about how 303 00:17:14,080 --> 00:17:17,919 Speaker 1: policy is personal. And one of the things that I 304 00:17:18,040 --> 00:17:21,439 Speaker 1: see now is and we knew this right. We know 305 00:17:21,520 --> 00:17:25,280 Speaker 1: a lie travels sixteen hundred times faster online than the truth. 306 00:17:26,000 --> 00:17:29,800 Speaker 1: We know that soundbites float around and complex conversation doesn't. 307 00:17:29,920 --> 00:17:33,000 Speaker 1: We know that the black and white is something that 308 00:17:33,080 --> 00:17:36,480 Speaker 1: causes reactivity and nuance, which is required to run a 309 00:17:36,480 --> 00:17:38,919 Speaker 1: country of this size, and also to understand all the 310 00:17:38,920 --> 00:17:45,159 Speaker 1: people in it often doesn't translate or become clickbait. What 311 00:17:45,280 --> 00:17:48,920 Speaker 1: I think I struggle with now is knowing not only 312 00:17:48,960 --> 00:17:53,520 Speaker 1: those facts, but knowing how effective fear and othering are 313 00:17:53,680 --> 00:17:58,040 Speaker 1: as a message, and to know that for our current administration, 314 00:17:58,160 --> 00:18:01,639 Speaker 1: the cruelty is the point. And one of the things 315 00:18:01,640 --> 00:18:05,920 Speaker 1: that I think we have failed at assuming we've had 316 00:18:05,960 --> 00:18:08,719 Speaker 1: all these wins, we've had all this progress. You know, 317 00:18:09,560 --> 00:18:12,280 Speaker 1: we were all born when a woman could get a 318 00:18:12,320 --> 00:18:14,800 Speaker 1: credit card without her husband signing for it. We were 319 00:18:14,840 --> 00:18:18,359 Speaker 1: born when a woman could rent an apartment without a man. 320 00:18:19,760 --> 00:18:22,119 Speaker 1: Some of our elders, you know, the women that we 321 00:18:22,200 --> 00:18:27,080 Speaker 1: look up to, were not. They remember the difference. And 322 00:18:27,960 --> 00:18:33,400 Speaker 1: what I think we have failed at is communicating well 323 00:18:34,119 --> 00:18:39,760 Speaker 1: that progress requires time and destruction is relatively immediate. If 324 00:18:39,800 --> 00:18:43,840 Speaker 1: you drop a beautiful piece of pottery, it shatters the 325 00:18:43,880 --> 00:18:47,320 Speaker 1: second it hits the floor. To make that pot on 326 00:18:47,400 --> 00:18:52,160 Speaker 1: a wheel took time and clay and water and shaping 327 00:18:52,280 --> 00:18:55,639 Speaker 1: and attempts and might have failed, and then begin again, 328 00:18:55,720 --> 00:18:57,960 Speaker 1: and then it gets fired, and then it gets glazed, 329 00:18:57,960 --> 00:19:02,159 Speaker 1: and then it gets fired again. Political progress or requires 330 00:19:02,880 --> 00:19:06,520 Speaker 1: an investment of time and patience. But it's why we 331 00:19:06,640 --> 00:19:10,800 Speaker 1: have these systems that seem to simply exist, and we 332 00:19:10,920 --> 00:19:13,680 Speaker 1: haven't explained how they exist. The fact that we both 333 00:19:13,720 --> 00:19:16,840 Speaker 1: have power in our homes is politics. The fact that 334 00:19:16,880 --> 00:19:19,359 Speaker 1: we can turn on a faucet and drink water that 335 00:19:19,560 --> 00:19:22,639 Speaker 1: hopefully won't kill us is politics. The fact that we 336 00:19:22,720 --> 00:19:25,600 Speaker 1: have roads to drive on politics. When you bitch about 337 00:19:25,600 --> 00:19:29,720 Speaker 1: the pothole in your neighborhood. Bad politics, Like people have 338 00:19:29,880 --> 00:19:34,560 Speaker 1: forgotten that schools and clean air and water and electricity 339 00:19:34,760 --> 00:19:40,119 Speaker 1: and a grocery store, all of it is politics. And 340 00:19:40,680 --> 00:19:45,000 Speaker 1: so now politics has become these people who want to 341 00:19:45,040 --> 00:19:47,800 Speaker 1: give your stuff away versus these mean people who'll do 342 00:19:47,880 --> 00:19:52,560 Speaker 1: anything to give it back, And like that just ain't it? Like, 343 00:19:52,880 --> 00:19:57,920 Speaker 1: it's not how it works. And when you think about 344 00:19:58,640 --> 00:20:04,040 Speaker 1: you know, your show, your right, your activism, your political organizing, 345 00:20:05,040 --> 00:20:12,240 Speaker 1: how do you begin to make the political personal? Because 346 00:20:12,280 --> 00:20:16,439 Speaker 1: that difference between what we know and what we feel like, 347 00:20:16,600 --> 00:20:20,160 Speaker 1: that's the gap. I think, So how do we help 348 00:20:20,240 --> 00:20:25,399 Speaker 1: people understand how personal every single political decision is. 349 00:20:26,600 --> 00:20:29,280 Speaker 3: I've been thinking about this for the last three weeks 350 00:20:29,359 --> 00:20:31,840 Speaker 3: because one of the things that folks call my show, 351 00:20:31,840 --> 00:20:34,800 Speaker 3: and they call from all over the country, they're like. 352 00:20:34,720 --> 00:20:37,639 Speaker 2: What can we do? What can Democrats do? You know, 353 00:20:37,680 --> 00:20:38,520 Speaker 2: how do we stop this? 354 00:20:38,640 --> 00:20:43,480 Speaker 3: And it's in part I think there is a disconnect 355 00:20:43,560 --> 00:20:47,399 Speaker 3: between some Democrats and what they say and some of 356 00:20:47,400 --> 00:20:52,360 Speaker 3: the democratic messaging and what really resonates with people emotionally. 357 00:20:52,760 --> 00:20:52,960 Speaker 2: Right. 358 00:20:53,040 --> 00:20:58,040 Speaker 3: I think that is why Trump succeeds in communicating to 359 00:20:58,119 --> 00:21:02,520 Speaker 3: his base of support, because he taps in to them emotionally. 360 00:21:02,040 --> 00:21:03,480 Speaker 1: Even though he's lying. 361 00:21:03,320 --> 00:21:08,040 Speaker 3: To that, right, right, Like, that's what makes me crazy, 362 00:21:06,600 --> 00:21:10,760 Speaker 3: you know me too, Me just. 363 00:21:10,760 --> 00:21:14,400 Speaker 1: Lies and people go, yep, that's it. 364 00:21:14,520 --> 00:21:17,840 Speaker 3: Right, And and unfortunately there are some people who want 365 00:21:17,840 --> 00:21:21,120 Speaker 3: to be lied to, so some people do. They They 366 00:21:21,160 --> 00:21:23,720 Speaker 3: may even if you got them, you know, in a 367 00:21:23,760 --> 00:21:26,000 Speaker 3: corner and you were like, you know, that's not true, 368 00:21:26,000 --> 00:21:28,600 Speaker 3: and they probably you probably could get them to admit that. 369 00:21:29,440 --> 00:21:31,800 Speaker 3: But but I do think that one of the things 370 00:21:31,840 --> 00:21:36,760 Speaker 3: that we sometimes miss on the left, and I hate 371 00:21:36,880 --> 00:21:39,480 Speaker 3: even doing like right left, like on my show, I 372 00:21:39,480 --> 00:21:43,680 Speaker 3: feel like we're humans, We're trying to survive, we're trying 373 00:21:43,680 --> 00:21:45,600 Speaker 3: to be happy. We're all like have sort of the 374 00:21:45,600 --> 00:21:48,800 Speaker 3: same goals here, and he's hurting everybody. It doesn't matter 375 00:21:48,880 --> 00:21:52,040 Speaker 3: what side of the spectrum you fall on. He's he's 376 00:21:52,080 --> 00:21:54,600 Speaker 3: firing government employees that voted for. 377 00:21:54,560 --> 00:21:58,280 Speaker 1: Him, right, I mean, just gutted the VA. 378 00:21:57,640 --> 00:22:01,640 Speaker 3: Exactly, literally veterans losing their And one of the things 379 00:22:01,680 --> 00:22:03,240 Speaker 3: I've been thinking about in the last couple of weeks 380 00:22:03,320 --> 00:22:05,760 Speaker 3: is the way in which Democrats can start talking about 381 00:22:05,800 --> 00:22:08,880 Speaker 3: what's happening with Doggie. I don't even call it dose 382 00:22:09,000 --> 00:22:11,480 Speaker 3: because Jess McIntosh and I just call it doggy. 383 00:22:11,240 --> 00:22:12,160 Speaker 2: Because it sounds funny. 384 00:22:13,800 --> 00:22:18,760 Speaker 3: What stories we can start telling about what's happening, right, 385 00:22:19,040 --> 00:22:22,119 Speaker 3: It's not you know, there have been twenty thousand people 386 00:22:22,160 --> 00:22:24,199 Speaker 3: who have been laid off. It's let's go talk to 387 00:22:24,240 --> 00:22:28,000 Speaker 3: those people who are they it's a mom. It's probably 388 00:22:28,200 --> 00:22:31,320 Speaker 3: a mom of three who worked for the federal government, 389 00:22:31,440 --> 00:22:35,040 Speaker 3: maybe in a health agency, maybe in the Consumer Financial 390 00:22:35,080 --> 00:22:38,439 Speaker 3: Protection Bureau making sure that people aren't getting scammed by 391 00:22:38,480 --> 00:22:41,440 Speaker 3: credit card companies, and they're not. They're going to miss 392 00:22:41,480 --> 00:22:44,359 Speaker 3: the payment for their mortgage, They're not going to be 393 00:22:44,359 --> 00:22:46,320 Speaker 3: able to pay their their bills, they're not going to 394 00:22:46,320 --> 00:22:49,560 Speaker 3: be able to pay tuition for their child. There you know, 395 00:22:49,600 --> 00:22:51,280 Speaker 3: they may not be able to put gas in the car, 396 00:22:51,359 --> 00:22:54,760 Speaker 3: much less afford eggs that have not gone down in price. 397 00:22:55,400 --> 00:22:58,560 Speaker 3: So I think that the storytelling element that you that 398 00:22:58,640 --> 00:23:01,720 Speaker 3: you referenced is the key, right. And I think sometimes 399 00:23:01,800 --> 00:23:05,240 Speaker 3: we can get caught up in statistics and numbers as 400 00:23:05,240 --> 00:23:09,560 Speaker 3: opposed to really talk to people's hearts, not their heads. 401 00:23:10,160 --> 00:23:12,080 Speaker 2: And I actually I. 402 00:23:12,160 --> 00:23:16,800 Speaker 3: Was having a conversation with somebody in Europe after the 403 00:23:16,840 --> 00:23:20,080 Speaker 3: twenty twenty four election, and that is the conversation we were 404 00:23:20,000 --> 00:23:22,600 Speaker 3: having because it wasn't just about the United States. It 405 00:23:22,680 --> 00:23:27,280 Speaker 3: was about the left globally and how they sometimes struggle 406 00:23:27,800 --> 00:23:31,520 Speaker 3: talking to people's hearts. And I mean in the context, 407 00:23:31,600 --> 00:23:35,560 Speaker 3: the context was sort of like feeding people, you know, 408 00:23:35,640 --> 00:23:39,560 Speaker 3: talking over a good meal and really just talking in 409 00:23:39,600 --> 00:23:43,200 Speaker 3: a way that sounds human. And it's not that Democrats 410 00:23:43,240 --> 00:23:45,240 Speaker 3: are not and it's not that they don't care about people, 411 00:23:45,560 --> 00:23:48,160 Speaker 3: but I think sometimes we can get caught up in 412 00:23:48,280 --> 00:23:51,320 Speaker 3: the numbers. And I was actually even in the first 413 00:23:51,320 --> 00:23:55,600 Speaker 3: couple of weeks, not sure if even attacking Elon Musk 414 00:23:56,000 --> 00:24:00,159 Speaker 3: was necessarily the best message quote unquote for the this 415 00:24:00,200 --> 00:24:02,680 Speaker 3: particular moment, even though I think that couldn't be part 416 00:24:02,720 --> 00:24:05,119 Speaker 3: of the message, that could be the only message, because 417 00:24:05,119 --> 00:24:09,199 Speaker 3: I almost was like, I'm not sure, because there's a 418 00:24:09,240 --> 00:24:12,400 Speaker 3: lot of people who look up to him of all backgrounds. 419 00:24:12,840 --> 00:24:14,560 Speaker 2: Right he is the world's richest man. 420 00:24:14,560 --> 00:24:17,080 Speaker 3: There are people backgrounds that look up to him because 421 00:24:17,080 --> 00:24:19,600 Speaker 3: they don't know anything other than that's it. 422 00:24:19,960 --> 00:24:21,720 Speaker 1: People look up to him because they don't know how 423 00:24:21,800 --> 00:24:23,440 Speaker 1: he got rich, and they don't know where he comes 424 00:24:23,480 --> 00:24:25,560 Speaker 1: from exactly, and they don't know what he's done to 425 00:24:25,600 --> 00:24:30,000 Speaker 1: people exactly exactly. And we this is the irony, though, 426 00:24:30,040 --> 00:24:33,280 Speaker 1: And I'm curious what you think here, because Trump has 427 00:24:33,560 --> 00:24:40,320 Speaker 1: demonized the quote elite public servants who make not a 428 00:24:40,359 --> 00:24:43,520 Speaker 1: lot of money compared to people like Donald Trump and 429 00:24:43,560 --> 00:24:47,480 Speaker 1: his friends. He's demonized folks like you in the news media, 430 00:24:47,600 --> 00:24:50,320 Speaker 1: folks like me who you know work on TV sometimes 431 00:24:50,920 --> 00:24:54,480 Speaker 1: and I'm like bro, most of us with sad cards, 432 00:24:54,720 --> 00:24:57,280 Speaker 1: you know, screen actors, guild actors like I only have 433 00:24:57,359 --> 00:25:00,520 Speaker 1: healthcare because I'm in a union, right, Like, that's literally 434 00:25:00,560 --> 00:25:04,800 Speaker 1: how I go to the doctor. You know, I if 435 00:25:04,840 --> 00:25:07,919 Speaker 1: I make a dollar, my agent makes ten cents, my 436 00:25:08,040 --> 00:25:11,439 Speaker 1: manager makes ten cents, my assistant makes ten cents, my 437 00:25:11,560 --> 00:25:16,040 Speaker 1: lawyer makes fifty cents. Like I support a whole team 438 00:25:16,080 --> 00:25:18,440 Speaker 1: of people when I work, and when I don't, we're 439 00:25:18,480 --> 00:25:23,399 Speaker 1: all stressed out. Like we aren't like him. We don't 440 00:25:23,440 --> 00:25:27,440 Speaker 1: fly around in private jets. We don't, you know, have 441 00:25:27,720 --> 00:25:31,639 Speaker 1: endlessly expendable money. And yet a man who is a 442 00:25:31,840 --> 00:25:36,280 Speaker 1: billionaire who launched a meme coin which was likely allegedly 443 00:25:36,280 --> 00:25:38,640 Speaker 1: a money laundering scam, who went from having a four 444 00:25:38,680 --> 00:25:41,399 Speaker 1: billion dollar net worth to having a twenty nine billion 445 00:25:41,440 --> 00:25:44,359 Speaker 1: dollar net worth at the weekend of his coin launch, 446 00:25:44,400 --> 00:25:47,400 Speaker 1: and then the coin tanked once he sold all his shares. 447 00:25:48,160 --> 00:25:52,159 Speaker 1: I'm like, that's a straight up twenty five billion dollar grift. 448 00:25:53,080 --> 00:25:55,439 Speaker 1: And your friend is the world's richest man who is 449 00:25:55,440 --> 00:25:59,320 Speaker 1: about to be the first trillionaire, who, by the way, 450 00:25:59,480 --> 00:26:03,040 Speaker 1: said to the World Health Organization, tell me how I 451 00:26:03,040 --> 00:26:05,000 Speaker 1: could solve world hunger. They gave him a plan and 452 00:26:05,000 --> 00:26:07,879 Speaker 1: said it would only cost you six billion dollars. He 453 00:26:07,920 --> 00:26:09,840 Speaker 1: announced publicly he was going to do it, and then 454 00:26:09,840 --> 00:26:11,919 Speaker 1: he was like, psych I got all the good press. 455 00:26:12,119 --> 00:26:13,560 Speaker 1: What I'm going to do is go buy Twitter for 456 00:26:13,560 --> 00:26:17,760 Speaker 1: forty four billion dollars instead. Like these are bad people. 457 00:26:17,840 --> 00:26:25,000 Speaker 1: These are like movie villain rich terrible people. And somehow 458 00:26:25,520 --> 00:26:30,240 Speaker 1: they've managed to convince people with so much less, people 459 00:26:30,240 --> 00:26:33,679 Speaker 1: whose livelihoods are at risk from paycheck to paycheck, that 460 00:26:33,800 --> 00:26:36,080 Speaker 1: those of us who have been in paycheck to paycheck 461 00:26:36,119 --> 00:26:42,000 Speaker 1: positions aren't like them. But the billionaire class is like, 462 00:26:43,320 --> 00:26:48,960 Speaker 1: how how, why? What is that? Are we just all 463 00:26:49,200 --> 00:26:54,480 Speaker 1: so secretly sure that if we got a reality show 464 00:26:55,240 --> 00:26:59,080 Speaker 1: or I don't know, fathered seventeen children with however many women, 465 00:26:59,160 --> 00:27:01,320 Speaker 1: Elon has that like, we could be rich too. What 466 00:27:01,640 --> 00:27:04,919 Speaker 1: what is that in our psyche that puts us in 467 00:27:05,000 --> 00:27:09,520 Speaker 1: these crazy places where we are like the characters in 468 00:27:09,560 --> 00:27:11,840 Speaker 1: that kid's book The Emperor has no clothes, and we're like, yeah, 469 00:27:11,880 --> 00:27:15,080 Speaker 1: great robe to the naked guy, Like what why are 470 00:27:15,160 --> 00:27:15,800 Speaker 1: we like this? 471 00:27:16,359 --> 00:27:16,960 Speaker 2: I don't know. 472 00:27:17,280 --> 00:27:20,200 Speaker 3: I wish I knew the answer. I think part of 473 00:27:20,240 --> 00:27:22,399 Speaker 3: it we're delusional. There's a lot of people who are 474 00:27:22,440 --> 00:27:25,359 Speaker 3: delusional these days, and I think it goes back to 475 00:27:25,560 --> 00:27:28,560 Speaker 3: in all serious it's the point you mentioned earlier about 476 00:27:28,560 --> 00:27:32,359 Speaker 3: disinformation and misinformation. So number one, even the story that 477 00:27:32,400 --> 00:27:34,600 Speaker 3: you just told about Elon Musk and Donald Trump and 478 00:27:34,640 --> 00:27:36,639 Speaker 3: the meme coin, a lot of people don't know that 479 00:27:36,760 --> 00:27:40,919 Speaker 3: detail because that's not detail that is in their siloed 480 00:27:41,000 --> 00:27:42,080 Speaker 3: media environment. 481 00:27:42,280 --> 00:27:45,160 Speaker 2: So they're not even getting the facts right. 482 00:27:45,160 --> 00:27:50,040 Speaker 3: They are poureding off from fact telling right if they're 483 00:27:50,080 --> 00:27:53,480 Speaker 3: just watching Fox News, if their algorithm is only feeding 484 00:27:53,520 --> 00:27:57,679 Speaker 3: them right winging voices, they are not getting any of 485 00:27:57,680 --> 00:28:02,359 Speaker 3: the facts and that it's it's so because I feel 486 00:28:02,359 --> 00:28:04,000 Speaker 3: like one of the things that happened in the first 487 00:28:04,000 --> 00:28:05,760 Speaker 3: couple of weeks and it's still happening now with all 488 00:28:05,760 --> 00:28:08,359 Speaker 3: the federal layoffs, is people who voted for Trump are like, 489 00:28:08,480 --> 00:28:11,200 Speaker 3: I got fired today or I did not, I lost 490 00:28:11,240 --> 00:28:14,600 Speaker 3: my snap benefits today or I couldn't access my step 491 00:28:14,640 --> 00:28:17,639 Speaker 3: menefits because of the initial funding freeze. I think that 492 00:28:17,720 --> 00:28:20,320 Speaker 3: people are now starting to see that, wait a minute, 493 00:28:20,520 --> 00:28:24,040 Speaker 3: he's doing things that are affecting me, that are harming me. 494 00:28:24,600 --> 00:28:25,879 Speaker 3: And he didn't say he was going to do that. 495 00:28:25,960 --> 00:28:28,560 Speaker 3: He said he was going to deport all of the 496 00:28:28,720 --> 00:28:31,399 Speaker 3: brown people, all the undocumented people that I thought he 497 00:28:31,440 --> 00:28:32,639 Speaker 3: was going to do that. I didn't think he was 498 00:28:32,680 --> 00:28:36,040 Speaker 3: going to do this. And I think that the storytelling 499 00:28:36,359 --> 00:28:40,400 Speaker 3: plus the making sure they have access to the facts, 500 00:28:40,840 --> 00:28:43,880 Speaker 3: I think that there can be a really critical combination 501 00:28:44,840 --> 00:28:48,120 Speaker 3: of those two things that can help at least get 502 00:28:48,200 --> 00:28:52,240 Speaker 3: us part of the way. But unfortunately, for the next 503 00:28:52,400 --> 00:28:54,840 Speaker 3: couple of years, until at least the midtrum elections, it's 504 00:28:54,920 --> 00:28:59,240 Speaker 3: going to be incredibly hard. And I think that one 505 00:28:59,240 --> 00:29:02,280 Speaker 3: of the things that I know that I've been doing 506 00:29:02,360 --> 00:29:04,320 Speaker 3: on my show, I know that AOC has been doing 507 00:29:04,320 --> 00:29:06,800 Speaker 3: that every time she goes on IG Live, is really 508 00:29:06,880 --> 00:29:10,560 Speaker 3: level setting with people and saying, look, we're not in 509 00:29:10,680 --> 00:29:13,760 Speaker 3: power as Democrats, not in the Senate, not in the House. 510 00:29:13,800 --> 00:29:17,560 Speaker 3: There's very little that we can do. There's I mean, 511 00:29:17,600 --> 00:29:20,040 Speaker 3: I would argue there there's more they could do. But 512 00:29:20,680 --> 00:29:23,160 Speaker 3: there's not a whole lot they can do. They can't 513 00:29:23,200 --> 00:29:24,760 Speaker 3: stop things whole claw. 514 00:29:25,000 --> 00:29:27,160 Speaker 1: And not only can they not stop things, but when 515 00:29:27,920 --> 00:29:31,240 Speaker 1: when the federal government, when our federal courts say, this 516 00:29:31,440 --> 00:29:35,920 Speaker 1: is outside the scope of presidential power. You are infringing 517 00:29:35,960 --> 00:29:38,880 Speaker 1: on the other branches of the judiciary, this is not 518 00:29:38,960 --> 00:29:42,280 Speaker 1: within the scope of executive power. You are breaking the law. 519 00:29:42,360 --> 00:29:45,959 Speaker 1: And he says, so, yeah, we've never had that. I mean, 520 00:29:46,000 --> 00:29:47,040 Speaker 1: it is truly. 521 00:29:47,400 --> 00:29:48,400 Speaker 2: It's not hyperbole. 522 00:29:48,960 --> 00:29:54,400 Speaker 1: It's not people, you know, being sensitive or fantastical or whatever. 523 00:29:54,960 --> 00:29:58,600 Speaker 1: It's a true constitutional crisis or in the person who 524 00:29:58,680 --> 00:30:01,800 Speaker 1: occupies the O office, I am not going to respect 525 00:30:01,880 --> 00:30:04,080 Speaker 1: any other branch of the federal government, and I am 526 00:30:04,120 --> 00:30:07,520 Speaker 1: not going to listen to the law of the land, 527 00:30:07,680 --> 00:30:11,920 Speaker 1: nor will I follow the letter of the Constitution. We 528 00:30:12,000 --> 00:30:13,440 Speaker 1: have a problem. 529 00:30:13,960 --> 00:30:16,880 Speaker 3: Oh yeah, no, it's a huge problem. I asked Senator 530 00:30:17,160 --> 00:30:20,080 Speaker 3: Chris Murphy recently the same exact question. I was like, 531 00:30:20,360 --> 00:30:23,120 Speaker 3: I know, But I was also like, well, what do 532 00:30:23,160 --> 00:30:24,800 Speaker 3: we do because we have to assume he's not going 533 00:30:24,840 --> 00:30:26,440 Speaker 3: to follow any of what the judges saying. Even if 534 00:30:26,440 --> 00:30:28,200 Speaker 3: the judges are like, you're in the law, He's going 535 00:30:28,280 --> 00:30:30,000 Speaker 3: to be like so what, I'm gonna do what I want. 536 00:30:30,240 --> 00:30:33,240 Speaker 3: It's unconstitutional. He's like, so what, I don't care, and 537 00:30:33,400 --> 00:30:35,560 Speaker 3: we have to just assume that he's I think that 538 00:30:35,760 --> 00:30:39,720 Speaker 3: Senator Murphy pointed made the most important point. One of 539 00:30:39,760 --> 00:30:42,880 Speaker 3: the first things he did was was a signal. He 540 00:30:43,120 --> 00:30:46,560 Speaker 3: pardoned the January sixth insurrectionists. That was the mall we 541 00:30:46,600 --> 00:30:49,360 Speaker 3: all should have known from day one that he is 542 00:30:49,400 --> 00:30:50,920 Speaker 3: not going to respect the rule of law. 543 00:30:51,200 --> 00:30:51,400 Speaker 1: Yeah. 544 00:30:51,400 --> 00:30:53,640 Speaker 3: I mean, he's going in there as a convicted felon, 545 00:30:53,720 --> 00:30:55,080 Speaker 3: but we know he's not going to respect the rule 546 00:30:55,120 --> 00:30:57,560 Speaker 3: of law because he pardoned the people who attacked the capitol. 547 00:30:57,280 --> 00:30:58,200 Speaker 2: In January sixth. 548 00:30:58,320 --> 00:31:00,400 Speaker 3: Yeah, And so that was the signal that if you 549 00:31:00,440 --> 00:31:03,600 Speaker 3: ever commit acts of violence or break the law for me, 550 00:31:04,240 --> 00:31:07,200 Speaker 3: you'll be fine. And that is the same thing is 551 00:31:07,200 --> 00:31:12,040 Speaker 3: true about mister Elon Musk, Right, if he breaks the 552 00:31:12,120 --> 00:31:15,320 Speaker 3: law and a judge is like, stop doing that, he's 553 00:31:15,320 --> 00:31:18,640 Speaker 3: gonna make so what because he knows that his buddy 554 00:31:18,800 --> 00:31:21,800 Speaker 3: President Trump can pardon him. 555 00:31:22,000 --> 00:31:22,240 Speaker 2: Yeah. 556 00:31:22,760 --> 00:31:22,960 Speaker 3: Right. 557 00:31:23,000 --> 00:31:25,640 Speaker 2: So I think one of the things that. 558 00:31:26,200 --> 00:31:30,200 Speaker 3: So many people are not really grasping right now is 559 00:31:30,200 --> 00:31:31,520 Speaker 3: not only did they tell us they were going to 560 00:31:31,560 --> 00:31:32,720 Speaker 3: do all of this, they wrote it all down on 561 00:31:32,760 --> 00:31:36,440 Speaker 3: probably twenty twenty five, And I remember saying on MSNBC 562 00:31:36,640 --> 00:31:39,440 Speaker 3: before the election, the combination of Projecly twenty twenty five 563 00:31:39,440 --> 00:31:42,760 Speaker 3: in the presidential immunity decision, that is what a dictatorship is. 564 00:31:42,840 --> 00:31:46,760 Speaker 3: Those two things together combined make a dictator And I 565 00:31:46,840 --> 00:31:50,240 Speaker 3: don't think people were really getting it. And the pushback 566 00:31:50,280 --> 00:31:53,600 Speaker 3: that I got in talking about democracy and protecting democracy 567 00:31:54,000 --> 00:31:55,000 Speaker 3: was that people really care. 568 00:31:54,920 --> 00:31:56,080 Speaker 2: About the cost of eggs. 569 00:31:56,120 --> 00:31:57,880 Speaker 3: And while I think that there are people out there 570 00:31:57,880 --> 00:32:00,320 Speaker 3: that did care about the cost of eggs, they that 571 00:32:00,440 --> 00:32:03,160 Speaker 3: was just their cover for not really admitting that they 572 00:32:03,200 --> 00:32:06,400 Speaker 3: wanted to deport some of these brown people and that 573 00:32:06,560 --> 00:32:08,560 Speaker 3: was the real reason why they were supporting Donald Trump. 574 00:32:08,880 --> 00:32:11,760 Speaker 3: And it frustrated me that we couldn't really get to 575 00:32:11,800 --> 00:32:13,960 Speaker 3: the heart of the matter. And now people are stunned 576 00:32:14,160 --> 00:32:16,960 Speaker 3: that he's breaking the democracy because they told us they 577 00:32:17,000 --> 00:32:18,800 Speaker 3: were going to break the democracy. They had a plan 578 00:32:18,880 --> 00:32:21,160 Speaker 3: to break the democracy, and he's using Elon Musk to 579 00:32:21,200 --> 00:32:21,480 Speaker 3: do it. 580 00:32:21,840 --> 00:32:23,840 Speaker 1: We'll be back in just a minute after a few 581 00:32:23,880 --> 00:32:33,240 Speaker 1: words from our favorite sponsors. To go back to that 582 00:32:33,360 --> 00:32:38,320 Speaker 1: pottery analogy. When I think about the outbreak of a 583 00:32:38,360 --> 00:32:41,440 Speaker 1: global pandemic, the first in one hundred years. You know, 584 00:32:41,920 --> 00:32:44,720 Speaker 1: you think the Spanish fluid in nineteen eighteen, and then COVID, 585 00:32:45,240 --> 00:32:47,720 Speaker 1: you know, granted we know now that it was beginning 586 00:32:47,760 --> 00:32:51,000 Speaker 1: to spread in twenty nineteen, but really went global twenty twenty, 587 00:32:51,600 --> 00:32:55,800 Speaker 1: shut down the entire global economy, supply chains, factories, shipping routes. 588 00:32:56,240 --> 00:33:01,240 Speaker 1: To build that back up requires a building, almost from scratch. 589 00:33:01,960 --> 00:33:06,160 Speaker 1: Once the well oiled machine stops, it takes a lot 590 00:33:06,160 --> 00:33:10,200 Speaker 1: to get the machine going again. And when economists were 591 00:33:10,200 --> 00:33:13,440 Speaker 1: talking about how President Biden had done such incredible work 592 00:33:13,720 --> 00:33:18,120 Speaker 1: to stop inflation and manage to do it without starting 593 00:33:18,120 --> 00:33:22,360 Speaker 1: a recession and brought American inflation below three percent in 594 00:33:22,560 --> 00:33:26,880 Speaker 1: just three years, and did it so effectively that it 595 00:33:26,920 --> 00:33:30,120 Speaker 1: actually began lowering inflation rates in other countries, people were like, 596 00:33:30,120 --> 00:33:31,080 Speaker 1: what are you talking about? 597 00:33:31,440 --> 00:33:32,200 Speaker 2: And when I would. 598 00:33:32,080 --> 00:33:34,520 Speaker 1: Quote to friends and say, have you seen the studies? 599 00:33:34,520 --> 00:33:37,160 Speaker 1: Do you understand that inflation in Australia went over twenty percent, 600 00:33:37,200 --> 00:33:39,920 Speaker 1: that inflation in Argentina reached twenty two percent, that inflation 601 00:33:40,320 --> 00:33:42,760 Speaker 1: in Europe in certain areas was over nineteen percent, And 602 00:33:42,800 --> 00:33:45,000 Speaker 1: people were like, wait, what I'm going How much do 603 00:33:45,000 --> 00:33:48,320 Speaker 1: you think eggs cost there? And yes, things are not 604 00:33:48,600 --> 00:33:52,880 Speaker 1: perfect again here yet, but everything is trending in the 605 00:33:52,960 --> 00:33:57,240 Speaker 1: right direction. But for some reason, we are so impatient 606 00:33:58,680 --> 00:34:02,560 Speaker 1: with the fix, right, we are impatient with the work, 607 00:34:02,720 --> 00:34:05,880 Speaker 1: even though the work for America alone has to be 608 00:34:05,920 --> 00:34:09,319 Speaker 1: done for three hundred and thirty two million people. Like, 609 00:34:09,960 --> 00:34:13,200 Speaker 1: think about how crazy the freeway looks at five o'clock, 610 00:34:13,400 --> 00:34:15,840 Speaker 1: Like there aren't even a million people on the freeway 611 00:34:15,840 --> 00:34:18,080 Speaker 1: and you're in a bumper to bumper parking lot. Like 612 00:34:18,160 --> 00:34:23,160 Speaker 1: to move hundreds of millions of people back into a 613 00:34:23,239 --> 00:34:29,480 Speaker 1: sort of synchronized efficiency takes time, and for some reason 614 00:34:29,560 --> 00:34:33,080 Speaker 1: that time, rather than looking at it and saying, wow, 615 00:34:33,120 --> 00:34:35,040 Speaker 1: we are so proud to be leading the world on 616 00:34:35,080 --> 00:34:39,359 Speaker 1: global recovery, it turned into they're not doing things fast enough. 617 00:34:39,440 --> 00:34:43,240 Speaker 1: Let's go back to the other guy. And it feels, 618 00:34:44,680 --> 00:34:46,400 Speaker 1: you know, it feels to me like we are in 619 00:34:46,440 --> 00:34:50,200 Speaker 1: the upside down. And to your point, it feels like 620 00:34:50,320 --> 00:34:55,960 Speaker 1: because these are complex conversations right the left or the 621 00:34:56,160 --> 00:34:58,120 Speaker 1: you know, folks that want everybody to have rights and 622 00:34:58,120 --> 00:34:59,960 Speaker 1: that want kids to have lunch in school. Because I'm 623 00:35:00,000 --> 00:35:02,040 Speaker 1: I'm like, I'm done like you with the right and 624 00:35:02,080 --> 00:35:04,000 Speaker 1: the left thing. I'm like, you either want kids to 625 00:35:04,000 --> 00:35:05,479 Speaker 1: be able to eat in school or you don't. 626 00:35:05,719 --> 00:35:08,280 Speaker 2: That's it right to me, just basic human decency. 627 00:35:08,840 --> 00:35:14,120 Speaker 1: And so the pro kids having school lunch's side, for 628 00:35:14,200 --> 00:35:19,560 Speaker 1: some reason can't seem to harness the messaging on what 629 00:35:19,640 --> 00:35:24,720 Speaker 1: they're doing well. And so the other side, despite everyone 630 00:35:24,840 --> 00:35:28,879 Speaker 1: know they're lying, keeps lying and then the lies hit 631 00:35:28,960 --> 00:35:35,160 Speaker 1: the airways and here we are. So how do you think, 632 00:35:35,640 --> 00:35:38,120 Speaker 1: you know, Chris Murphy, I think one of our best 633 00:35:38,120 --> 00:35:42,000 Speaker 1: messages AOC doing an incredible job. How do you think 634 00:35:42,040 --> 00:35:47,920 Speaker 1: we can begin to cut through some of the bs 635 00:35:47,960 --> 00:35:50,640 Speaker 1: and some of the unwillingness for people to listen to 636 00:35:50,680 --> 00:35:53,520 Speaker 1: anyone who thinks, yes, I kids should eat lunch in school. 637 00:35:55,280 --> 00:35:57,560 Speaker 1: How do we like right the ship a little bit here? 638 00:35:58,320 --> 00:36:00,799 Speaker 3: Well, one of the things I think is that we 639 00:36:00,880 --> 00:36:02,760 Speaker 3: have to be better about putting on a show. 640 00:36:03,360 --> 00:36:03,560 Speaker 2: Right. 641 00:36:04,200 --> 00:36:08,319 Speaker 3: One of the things that Donald Trump did well, I mean, 642 00:36:08,320 --> 00:36:10,200 Speaker 3: for lack of a better description, in the twenty twenty 643 00:36:10,200 --> 00:36:12,719 Speaker 3: four election, is he put on you know, it was 644 00:36:12,760 --> 00:36:15,040 Speaker 3: silly and and even and I was making fun of 645 00:36:15,120 --> 00:36:18,000 Speaker 3: it at the time because it looks silly, But when 646 00:36:18,040 --> 00:36:20,680 Speaker 3: he kept standing in front of a bunch of groceries, right, 647 00:36:20,719 --> 00:36:22,680 Speaker 3: it was just a visual reminder to people that he 648 00:36:22,800 --> 00:36:25,160 Speaker 3: was going to solve that problem for them, even though 649 00:36:25,160 --> 00:36:28,080 Speaker 3: he didn't do anything about it. He hasn't done anything 650 00:36:28,080 --> 00:36:30,239 Speaker 3: about it since becoming president, and he doesn't intend on 651 00:36:30,320 --> 00:36:34,320 Speaker 3: doing anything about it. We just have to tell better stories, 652 00:36:34,920 --> 00:36:37,160 Speaker 3: and we have to do it in a way that 653 00:36:37,320 --> 00:36:41,000 Speaker 3: is visually compelling. So I have been critical on my 654 00:36:41,120 --> 00:36:43,800 Speaker 3: show in the past couple of weeks just in terms 655 00:36:43,800 --> 00:36:46,880 Speaker 3: of I think that Democrats showing up at protests outside 656 00:36:46,920 --> 00:36:50,960 Speaker 3: of federal agency buildings is great. And I know that 657 00:36:51,120 --> 00:36:55,719 Speaker 3: there are like regularly scheduled press availabilities and press conferences 658 00:36:55,760 --> 00:36:59,279 Speaker 3: that are inside of Congress because our government has, you know, 659 00:36:59,400 --> 00:37:02,520 Speaker 3: things that standard procedure, but we're not. 660 00:37:02,600 --> 00:37:03,320 Speaker 2: In that moment. 661 00:37:03,880 --> 00:37:07,399 Speaker 3: So I I've grown tired of seeing any Democrats stand 662 00:37:07,440 --> 00:37:09,760 Speaker 3: in front of a podium inside of the Capitol building. 663 00:37:09,800 --> 00:37:11,880 Speaker 3: I do not understand why they're not standing at a 664 00:37:11,920 --> 00:37:15,640 Speaker 3: coffee shop with real people who have been fired from 665 00:37:15,719 --> 00:37:18,000 Speaker 3: their jobs. That is what I think they need to 666 00:37:18,000 --> 00:37:21,040 Speaker 3: do more of. They need to be in with the people. 667 00:37:21,280 --> 00:37:22,640 Speaker 3: I know that they have jobs, and they got to 668 00:37:22,680 --> 00:37:24,880 Speaker 3: vote on legs. Well, they have to vote on procedural 669 00:37:25,719 --> 00:37:29,640 Speaker 3: things and confirmations obviously happening with the cabinet, or hopefully 670 00:37:29,680 --> 00:37:34,040 Speaker 3: they're voting in opposition to that cabinet. But I think 671 00:37:34,080 --> 00:37:37,400 Speaker 3: that part of the problem and the disconnect sometimes comes 672 00:37:37,400 --> 00:37:40,279 Speaker 3: from they're not putting on a good enough show and 673 00:37:40,520 --> 00:37:44,440 Speaker 3: it seems silly. It seems like, well, isn't it about substance. 674 00:37:44,520 --> 00:37:48,640 Speaker 3: It is, but you do have to make it digestible 675 00:37:48,760 --> 00:37:52,600 Speaker 3: for people. Going back to the food analogy, you do 676 00:37:52,719 --> 00:37:55,520 Speaker 3: have to to make it so that people are like, oh, okay, 677 00:37:55,719 --> 00:37:57,200 Speaker 3: they're gonna they're gonna make sure that. 678 00:37:57,239 --> 00:37:59,800 Speaker 2: You know, I can afford my groceries. 679 00:38:00,000 --> 00:38:02,719 Speaker 3: Now, the president can't do anything about gas prices per se, 680 00:38:03,080 --> 00:38:05,920 Speaker 3: but I think that you know, Trump does. That doesn't 681 00:38:07,000 --> 00:38:10,640 Speaker 3: make mean that Trump doesn't say he can do something 682 00:38:10,680 --> 00:38:12,520 Speaker 3: about that. He still lies and says that you know, 683 00:38:12,560 --> 00:38:14,640 Speaker 3: it's all because of him, even though it isn't. 684 00:38:15,520 --> 00:38:18,279 Speaker 2: But Democrats just have to tell better stories. They're not that. 685 00:38:18,480 --> 00:38:21,160 Speaker 2: Sometimes they can get into the weeds they. 686 00:38:21,080 --> 00:38:23,399 Speaker 3: Want to they want And I do this a lot 687 00:38:23,440 --> 00:38:25,800 Speaker 3: of the time, Like I have to catch myself sometimes 688 00:38:25,880 --> 00:38:28,319 Speaker 3: doing this. And I think on my radio show, if 689 00:38:28,360 --> 00:38:31,120 Speaker 3: you like listen, over the years, I think that I 690 00:38:31,160 --> 00:38:34,120 Speaker 3: talk more like a regular person and less like a 691 00:38:34,120 --> 00:38:37,960 Speaker 3: strategist now because I realized that actually coming with all 692 00:38:37,960 --> 00:38:39,759 Speaker 3: of my facts and all of my data and all 693 00:38:39,760 --> 00:38:43,280 Speaker 3: of my talking points is not actually persuasive as persuasive 694 00:38:43,280 --> 00:38:45,080 Speaker 3: it as it is to just talk to another person, 695 00:38:45,960 --> 00:38:48,239 Speaker 3: hear them out, listen to what they're saying. 696 00:38:48,320 --> 00:38:50,799 Speaker 2: And then be like, but what about what about this? 697 00:38:51,520 --> 00:38:53,160 Speaker 2: Isn't that? Isn't that a better idea? 698 00:38:53,360 --> 00:38:57,479 Speaker 3: And just and talk to them in a way that 699 00:38:57,719 --> 00:39:02,319 Speaker 3: they feel heard, but then understand that what you're suggesting 700 00:39:02,360 --> 00:39:05,120 Speaker 3: in terms of a policy is actually going to help 701 00:39:05,160 --> 00:39:08,279 Speaker 3: them and is for their benefit, like that you don't 702 00:39:08,320 --> 00:39:11,000 Speaker 3: have some sort of other agenda going on as well. 703 00:39:11,320 --> 00:39:13,800 Speaker 2: And I think we can get to in the weeds. 704 00:39:13,840 --> 00:39:16,960 Speaker 3: We're talking in too many stats and numbers, and we 705 00:39:17,200 --> 00:39:20,520 Speaker 3: just have to get to people's hearts, right, go talk 706 00:39:20,560 --> 00:39:22,280 Speaker 3: to their heads, talk to their hearts. 707 00:39:22,719 --> 00:39:27,680 Speaker 1: Well, I hear you. And then it feels so tricky 708 00:39:28,440 --> 00:39:30,600 Speaker 1: because yes, a lot of people talked about the price 709 00:39:30,600 --> 00:39:33,560 Speaker 1: of eggs, and now eggs are twice as expensive approximately. 710 00:39:33,640 --> 00:39:36,280 Speaker 1: I think the numbers change every day as they were 711 00:39:36,680 --> 00:39:39,560 Speaker 1: during the last administration. Nobody's talking about it. You know, 712 00:39:39,640 --> 00:39:43,080 Speaker 1: the AP is getting banned from the Oval Office, because 713 00:39:43,120 --> 00:39:46,839 Speaker 1: they are still referring to the Gulf of Mexico as 714 00:39:46,880 --> 00:39:50,359 Speaker 1: the Gulf of Mexico because that's its name, right. 715 00:39:51,160 --> 00:39:53,879 Speaker 2: You know. Some of this stuff is so crazy, you know. 716 00:39:53,960 --> 00:39:56,320 Speaker 1: And I'm like, oh, so you do understand name changes 717 00:39:56,320 --> 00:40:01,040 Speaker 1: in pronoun changes. Actually yeah, Trump government got ithilarious loll 718 00:40:01,120 --> 00:40:05,520 Speaker 1: but also not funny. You know. Everything he's doing is 719 00:40:06,680 --> 00:40:10,440 Speaker 1: it's happening so fast, and we are getting caught on 720 00:40:10,520 --> 00:40:14,279 Speaker 1: these things. Gulf of Mexico versus Golf of America was 721 00:40:14,320 --> 00:40:16,839 Speaker 1: a week long discourse and it's not even a thing 722 00:40:16,880 --> 00:40:20,640 Speaker 1: that matters. It's a distraction to the gutting of the VA. 723 00:40:20,719 --> 00:40:23,839 Speaker 1: It's a distraction to the fact that someone with no 724 00:40:24,120 --> 00:40:27,640 Speaker 1: government oversight, who has not been vetted, is essentially acting 725 00:40:27,680 --> 00:40:31,240 Speaker 1: as a shadow president, someone who comes from a generational 726 00:40:31,320 --> 00:40:37,279 Speaker 1: family that supported apartheid, that are allegedly active Nazis, that 727 00:40:37,360 --> 00:40:42,040 Speaker 1: are you know, doing Nazi salutes on stages and courting 728 00:40:42,080 --> 00:40:45,440 Speaker 1: the far right German Party and interfering in European elections 729 00:40:46,239 --> 00:40:50,799 Speaker 1: and buying media outlets. I mean, this is this is 730 00:40:50,840 --> 00:40:54,960 Speaker 1: the playbook of the twenties and thirties on steroids, yea, 731 00:40:55,360 --> 00:40:59,600 Speaker 1: And people are getting really caught up in dumb shit. 732 00:41:00,480 --> 00:41:06,640 Speaker 1: So I almost wonder if the bigger systemic problem. I 733 00:41:06,719 --> 00:41:11,160 Speaker 1: think a lot about this with anti vaxers. Okay, people 734 00:41:11,200 --> 00:41:14,319 Speaker 1: are convinced that rather than having better science and us 735 00:41:14,360 --> 00:41:18,520 Speaker 1: being able to understand the full spectrum of neurodiversity in humans, 736 00:41:19,280 --> 00:41:22,719 Speaker 1: thus we understand more people exist on an autism spectrum, 737 00:41:22,719 --> 00:41:26,040 Speaker 1: more people are a neurodivergent ADHD. They're actually beginning to 738 00:41:26,080 --> 00:41:28,799 Speaker 1: prove was a superpower in hunter gatherer times because you 739 00:41:28,800 --> 00:41:30,839 Speaker 1: could really focus and get all the berries and then 740 00:41:30,960 --> 00:41:32,600 Speaker 1: go home when you felt like you did your task. 741 00:41:33,239 --> 00:41:35,400 Speaker 1: You know, none of this is actually a bad thing. 742 00:41:36,120 --> 00:41:38,440 Speaker 1: But now suddenly everybody's like, oh, it must have been 743 00:41:38,440 --> 00:41:42,240 Speaker 1: this one vaccine dose my kid got that did something 744 00:41:42,280 --> 00:41:44,640 Speaker 1: to them, even though the tighters are all lower than 745 00:41:44,680 --> 00:41:47,320 Speaker 1: they were when we were kids, even though the vaccine 746 00:41:47,360 --> 00:41:49,560 Speaker 1: amounts are lower than they were, even though there's more 747 00:41:49,640 --> 00:41:52,400 Speaker 1: arsenic in a pair from the pesticides it grows in 748 00:41:52,440 --> 00:41:54,560 Speaker 1: than there is in the totality of all vaccines you'll 749 00:41:54,560 --> 00:41:57,240 Speaker 1: ever get in your life. Like, I think, it's easier 750 00:41:57,280 --> 00:42:00,759 Speaker 1: to blame the one thing that maybe you could avoid it, 751 00:42:01,440 --> 00:42:04,920 Speaker 1: even though avoiding it could kill you, than to admit Oh, 752 00:42:05,280 --> 00:42:09,600 Speaker 1: our government's been poisoning the land on both sides of 753 00:42:09,600 --> 00:42:13,120 Speaker 1: the aisle with glycassate for fifty years. Oh, we know 754 00:42:13,200 --> 00:42:15,400 Speaker 1: that the pipes in Flint are full of lead and 755 00:42:15,400 --> 00:42:19,000 Speaker 1: they're giving kids brain damage, but we're not replacing them. Oh, 756 00:42:20,200 --> 00:42:23,319 Speaker 1: we clearly have a problem, you know, after the wildfires 757 00:42:23,320 --> 00:42:28,160 Speaker 1: in Los Angeles with water system contamination by a Brita like. 758 00:42:28,880 --> 00:42:31,840 Speaker 1: I think it's easier to try to point to the 759 00:42:31,960 --> 00:42:39,480 Speaker 1: quickest insult to your safety than to analyze systemic problems. Yeah, 760 00:42:39,520 --> 00:42:43,320 Speaker 1: and to require then that these sides work across the 761 00:42:43,360 --> 00:42:46,120 Speaker 1: aisle to solve the problems for all people and all voters, 762 00:42:46,120 --> 00:42:49,719 Speaker 1: no matter how you identify. It's easier to harp on 763 00:42:49,880 --> 00:42:52,799 Speaker 1: something that you think you can avoid than to say, Oh, 764 00:42:52,840 --> 00:42:54,719 Speaker 1: I'm a cog in a very big machine that might 765 00:42:54,760 --> 00:42:59,000 Speaker 1: not care about me. Do you think that's part of it? Oh? 766 00:42:59,120 --> 00:43:01,120 Speaker 3: Yeah, I think that's a big part of it. I mean, 767 00:43:01,239 --> 00:43:05,480 Speaker 3: it's interesting that you talk about food policy, because ironically, 768 00:43:06,239 --> 00:43:08,200 Speaker 3: when I spend out a lot of time in twenty 769 00:43:08,239 --> 00:43:10,719 Speaker 3: twenty four in Europe, that was like, the first thing 770 00:43:10,719 --> 00:43:15,680 Speaker 3: I noticed was that fruit tasted like fruit, and I 771 00:43:15,719 --> 00:43:18,520 Speaker 3: was like, wait, what is this paar taste sweet and 772 00:43:18,560 --> 00:43:19,520 Speaker 3: what's going on. 773 00:43:19,600 --> 00:43:21,560 Speaker 1: Instead of like foam exactly. 774 00:43:22,600 --> 00:43:24,920 Speaker 3: And I actually had Governor Walls on to talk about 775 00:43:24,960 --> 00:43:27,240 Speaker 3: school lunches as a part of a food policy special 776 00:43:27,280 --> 00:43:30,200 Speaker 3: that we did on my radio show, and I learned 777 00:43:30,280 --> 00:43:33,800 Speaker 3: so much about not just the difference between food policy 778 00:43:33,840 --> 00:43:36,319 Speaker 3: and Europe versus food policy in the United States, but 779 00:43:36,520 --> 00:43:41,040 Speaker 3: I think the way in which we've been blocked from 780 00:43:41,080 --> 00:43:44,680 Speaker 3: actually changing it, and the way in which the lobby 781 00:43:45,400 --> 00:43:51,120 Speaker 3: just makes it completely impossible to change how we make food, 782 00:43:51,400 --> 00:43:54,759 Speaker 3: consume food, and what's in our food. And that's a 783 00:43:54,840 --> 00:43:58,560 Speaker 3: much more important conversation than any conversation about a vaccine 784 00:43:58,719 --> 00:44:00,040 Speaker 3: that has been tested. 785 00:43:59,680 --> 00:44:09,799 Speaker 1: And now for our sponsors. If we made the lobbying 786 00:44:10,080 --> 00:44:13,040 Speaker 1: and the money and politics illegal, all of this would change. 787 00:44:13,080 --> 00:44:17,600 Speaker 1: It's not actually about the law or the die, which 788 00:44:17,640 --> 00:44:19,279 Speaker 1: by the way, is still in food in Europe. They're 789 00:44:19,320 --> 00:44:22,319 Speaker 1: just called different things. It's not even that. And it's 790 00:44:22,360 --> 00:44:25,080 Speaker 1: really not lost on me as a California And you know, 791 00:44:25,120 --> 00:44:27,120 Speaker 1: a year and a half ago, when Gavin Newsom tried 792 00:44:27,160 --> 00:44:29,799 Speaker 1: to ban five substances from the California food system, he 793 00:44:29,880 --> 00:44:33,279 Speaker 1: was called a communist. People were like, how Dario tell 794 00:44:33,360 --> 00:44:36,120 Speaker 1: Us what we can eat. And so was Michelle Obama. 795 00:44:36,160 --> 00:44:38,359 Speaker 1: When she tried to say, you can't classify pizza as 796 00:44:38,400 --> 00:44:41,120 Speaker 1: a vegetable in school for kids because it has tomato sauce. 797 00:44:41,120 --> 00:44:43,400 Speaker 1: You have to give them actual vegetables. People called her 798 00:44:43,440 --> 00:44:45,319 Speaker 1: a communist. They said she was meddling. They said she 799 00:44:45,360 --> 00:44:48,440 Speaker 1: didn't have the presidential oversight to do this. And now 800 00:44:48,440 --> 00:44:51,000 Speaker 1: we're just handing the whole kit in kaboodle over to 801 00:44:51,120 --> 00:44:54,720 Speaker 1: RFK who's making millions of dollars a year selling people 802 00:44:54,760 --> 00:44:59,359 Speaker 1: supplements that aren't even tested by the FDA. No, I 803 00:44:59,360 --> 00:45:01,200 Speaker 1: mean upside down. 804 00:45:01,800 --> 00:45:05,480 Speaker 3: Money in politics is the problem. Right, So everything we're 805 00:45:05,520 --> 00:45:09,120 Speaker 3: talking about today, the problem is money in politics. 806 00:45:09,520 --> 00:45:09,759 Speaker 1: Right. 807 00:45:10,200 --> 00:45:13,040 Speaker 3: If we did something about that, we would go a 808 00:45:13,080 --> 00:45:15,520 Speaker 3: long way to solve all of the other problems. It's 809 00:45:15,560 --> 00:45:17,320 Speaker 3: like when you make your list of goals at the 810 00:45:17,360 --> 00:45:19,880 Speaker 3: beginning of the year, and you have ten goals written 811 00:45:19,880 --> 00:45:22,439 Speaker 3: down on your paper, and there's that one or two 812 00:45:22,480 --> 00:45:25,200 Speaker 3: goals that if you actually accomplished those, it would make 813 00:45:25,239 --> 00:45:29,560 Speaker 3: the others easier. That's the problem, right, That is the problem. 814 00:45:29,600 --> 00:45:32,720 Speaker 3: I remember back when Citizens United was decided. I remember 815 00:45:32,760 --> 00:45:35,480 Speaker 3: I was sitting at home watching Keith Olberman because That 816 00:45:35,560 --> 00:45:37,759 Speaker 3: was the show eight o'clock on MSNBC at the time, 817 00:45:38,239 --> 00:45:42,360 Speaker 3: and he was talking about the danger of a decision 818 00:45:42,400 --> 00:45:46,600 Speaker 3: like citizens United. And I won't ever forget what he said, 819 00:45:46,600 --> 00:45:52,360 Speaker 3: because we're living through it. He said, imagine a president 820 00:45:52,480 --> 00:45:57,000 Speaker 3: Sarah Palin paid for by Citybank. Now we're not living 821 00:45:57,680 --> 00:46:02,719 Speaker 3: exactly in that reality. However, how different is it the 822 00:46:02,760 --> 00:46:06,600 Speaker 3: reality we're living in now versus President Sarah Palin paid 823 00:46:06,600 --> 00:46:09,520 Speaker 3: for by City Bank. We're living in a president Donald 824 00:46:09,560 --> 00:46:12,440 Speaker 3: Trump two point zho paid for by Elon Musk. Yes, 825 00:46:13,200 --> 00:46:17,279 Speaker 3: it's yes, literally what he predicted that night, says, since 826 00:46:17,360 --> 00:46:18,720 Speaker 3: United was decided. 827 00:46:18,680 --> 00:46:22,719 Speaker 1: Right, Well, and I read something last night, and you know, 828 00:46:22,800 --> 00:46:24,520 Speaker 1: forgive me, and we'll have to double check it in 829 00:46:24,560 --> 00:46:28,799 Speaker 1: the notes for the episode. But you know, Elon Musk 830 00:46:28,840 --> 00:46:31,719 Speaker 1: spent close to three hundred million dollars buying his presidency 831 00:46:31,719 --> 00:46:35,319 Speaker 1: for Donald Trump, and now he's been awarded nearly eight 832 00:46:35,360 --> 00:46:37,640 Speaker 1: billion dollars more in government contracts. 833 00:46:37,800 --> 00:46:42,240 Speaker 2: I'm going, hello, It's is Carlos, plain and simple. 834 00:46:42,440 --> 00:46:45,920 Speaker 1: The Fox is in the Henhouse. Yeah, and I guess 835 00:46:47,000 --> 00:46:49,560 Speaker 1: we talked about this, you know, when we first jumped 836 00:46:49,600 --> 00:46:53,040 Speaker 1: on that. In a weird way, we're not at all surprised, 837 00:46:53,040 --> 00:46:57,839 Speaker 1: but we're absolutely rocked and shocked. When you wrote your 838 00:46:57,960 --> 00:47:03,000 Speaker 1: book about, you know, healing a liberal divide, you analyze 839 00:47:03,080 --> 00:47:05,680 Speaker 1: past and present problems of the we want children to 840 00:47:05,680 --> 00:47:09,719 Speaker 1: have luncheon School's side. But you called the book the 841 00:47:09,840 --> 00:47:13,759 Speaker 1: end of White politics because the idea here is that, like, 842 00:47:14,360 --> 00:47:20,120 Speaker 1: these systems aren't protecting us, these sort of bastardized ideas 843 00:47:20,160 --> 00:47:24,399 Speaker 1: around quote unquote supremacy are hurting everyone. And by the way, 844 00:47:24,440 --> 00:47:26,479 Speaker 1: the men like the President who want it the most. 845 00:47:26,520 --> 00:47:28,840 Speaker 1: It's like it's older white men that are killing themselves 846 00:47:28,840 --> 00:47:32,560 Speaker 1: at the highest rates, so they're clearly suffering in all 847 00:47:32,600 --> 00:47:36,360 Speaker 1: of this too. How does it feel to have that 848 00:47:36,560 --> 00:47:43,960 Speaker 1: book exist post this election, post the world turning upside down? 849 00:47:44,040 --> 00:47:47,000 Speaker 1: How do you make sense of your thoughts and feelings 850 00:47:47,040 --> 00:47:49,960 Speaker 1: your analysis? Are there things you wish you could add 851 00:47:50,000 --> 00:47:52,560 Speaker 1: to it? Is that where the substack comes from, Like, 852 00:47:52,960 --> 00:47:56,480 Speaker 1: how does it all work for you now? From here? 853 00:47:57,600 --> 00:48:01,799 Speaker 3: Well, my substack, which is launching very soon called the 854 00:48:01,800 --> 00:48:04,040 Speaker 3: Inner Work Dispatch, is going to focus on mental health 855 00:48:04,080 --> 00:48:08,239 Speaker 3: and mental wellbeing because I think that as we are activists, 856 00:48:08,239 --> 00:48:11,880 Speaker 3: as we are organizers, as we are thinkers in this space, 857 00:48:12,120 --> 00:48:13,960 Speaker 3: we have to also learn how to take care of ourselves. 858 00:48:14,000 --> 00:48:17,319 Speaker 3: That's something that I am learning, like I actually need too, right, 859 00:48:17,480 --> 00:48:19,600 Speaker 3: like take care of my mental well being before I 860 00:48:19,600 --> 00:48:21,960 Speaker 3: can go out and fight fight the man. 861 00:48:22,360 --> 00:48:25,440 Speaker 1: And I feel like I'm learning as an academic quote 862 00:48:25,520 --> 00:48:28,520 Speaker 1: unquote expert in certain arenas. I feel like I'm signing 863 00:48:28,640 --> 00:48:33,960 Speaker 1: up for kindergarten learning how to actually prioritize my own 864 00:48:34,000 --> 00:48:36,160 Speaker 1: health and wellness and mental health. 865 00:48:36,760 --> 00:48:37,360 Speaker 2: I just have to. 866 00:48:37,520 --> 00:48:41,160 Speaker 3: I mean, I've been more intentional in recent years about Okay, 867 00:48:41,239 --> 00:48:43,200 Speaker 3: I'm going to read the news now out why I'm 868 00:48:43,200 --> 00:48:45,040 Speaker 3: putting it down. I'm not going to look at it. 869 00:48:45,080 --> 00:48:47,400 Speaker 3: I you know, push notifications. They're not even on my 870 00:48:47,440 --> 00:48:49,440 Speaker 3: phone anymore. And I work in news, so that's like 871 00:48:49,600 --> 00:48:53,760 Speaker 3: actually insane. But also I make sure like I'm checking 872 00:48:54,320 --> 00:48:55,120 Speaker 3: it with intention. 873 00:48:55,440 --> 00:48:56,640 Speaker 2: I'm doing that on purpose. 874 00:48:56,680 --> 00:49:00,200 Speaker 3: I'm not accidentally seeing something, and so that go a 875 00:49:00,200 --> 00:49:04,919 Speaker 3: long way in making sure you're mentally okay. But back 876 00:49:04,960 --> 00:49:09,600 Speaker 3: to the book question, I feel like I don't know 877 00:49:10,120 --> 00:49:12,520 Speaker 3: that was a version of me. I wrote that book 878 00:49:12,560 --> 00:49:16,160 Speaker 3: completely before COVID, by the way, I didn't realize that 879 00:49:16,400 --> 00:49:20,240 Speaker 3: it came out in July twenty twenty. So I wrote 880 00:49:20,400 --> 00:49:23,200 Speaker 3: the book before COVID even happened, and I had to 881 00:49:24,120 --> 00:49:25,640 Speaker 3: write it a forward. 882 00:49:26,960 --> 00:49:32,080 Speaker 2: For the paperback post Insurrection. So the Ford and the Pape's. 883 00:49:31,800 --> 00:49:34,239 Speaker 1: Way, Yeah, that's what I'm thinking, because I'm like, no, 884 00:49:34,480 --> 00:49:36,359 Speaker 1: why do I feel like it was so much more 885 00:49:36,400 --> 00:49:39,200 Speaker 1: recent than that? And that's why, because the words in 886 00:49:39,280 --> 00:49:42,520 Speaker 1: that forward, I know, really stuck with me. 887 00:49:42,920 --> 00:49:43,880 Speaker 2: It's the forward. 888 00:49:44,000 --> 00:49:46,120 Speaker 3: I read it the Ford a lot, actually, because I 889 00:49:46,120 --> 00:49:50,200 Speaker 3: think I sometimes I feel like I'm like a couple 890 00:49:50,239 --> 00:49:53,840 Speaker 3: of years ahead of like where the political analysis is, 891 00:49:53,960 --> 00:49:55,520 Speaker 3: and that's not twenty my own horn. That's just like 892 00:49:55,560 --> 00:49:58,120 Speaker 3: sometimes I'm like, I see the matrix, and how come 893 00:49:58,160 --> 00:50:02,799 Speaker 3: nobody else sees this? So I knew that, and I 894 00:50:02,840 --> 00:50:04,760 Speaker 3: have a chapter of the white resistance in the book. 895 00:50:05,400 --> 00:50:07,919 Speaker 3: I knew that there was going to be a backlash 896 00:50:08,280 --> 00:50:10,719 Speaker 3: to the evolution of American demographics. 897 00:50:10,760 --> 00:50:11,160 Speaker 2: I knew that. 898 00:50:11,400 --> 00:50:14,799 Speaker 3: I knew it right there was going to be. I mean, 899 00:50:14,840 --> 00:50:17,440 Speaker 3: we're living through that backlash right now. 900 00:50:17,520 --> 00:50:19,359 Speaker 2: Now. I don't know what happens on the other side 901 00:50:19,400 --> 00:50:20,640 Speaker 2: of this backlash. I don't know. 902 00:50:20,760 --> 00:50:22,759 Speaker 3: I don't know if we actually reach a place and 903 00:50:22,800 --> 00:50:25,040 Speaker 3: still have a democracy where we can have a multi 904 00:50:25,160 --> 00:50:28,440 Speaker 3: racial and functioning democracy. I don't know the answer to 905 00:50:28,480 --> 00:50:32,359 Speaker 3: that question anymore, because I don't know what happens after 906 00:50:32,400 --> 00:50:35,760 Speaker 3: this administration. Do we have a democracy to even engage 907 00:50:35,760 --> 00:50:38,919 Speaker 3: with right, I don't know. I don't think anybody knows 908 00:50:38,920 --> 00:50:42,280 Speaker 3: the answer to that because we're in such unprecedented times. 909 00:50:42,360 --> 00:50:45,759 Speaker 3: But I do know that the evolution and demographics of 910 00:50:45,760 --> 00:50:49,080 Speaker 3: the country. That's why they're trying to mass support eleven 911 00:50:49,200 --> 00:50:51,920 Speaker 3: million undocumented people right now. 912 00:50:51,960 --> 00:50:52,960 Speaker 2: Those people weren't. 913 00:50:52,680 --> 00:50:56,040 Speaker 3: Even voting, but it's like a show and it makes 914 00:50:56,080 --> 00:50:59,560 Speaker 3: them feel better about the fact that American's demographics are shifting, 915 00:50:59,840 --> 00:51:05,080 Speaker 3: that is happening now. They might try to prevent that 916 00:51:05,400 --> 00:51:08,560 Speaker 3: evolution right in ways that I don't even want to 917 00:51:08,600 --> 00:51:10,920 Speaker 3: talk about because I don't want to allow my brain 918 00:51:11,000 --> 00:51:15,560 Speaker 3: to even go there thinking about those horrors that potentially 919 00:51:16,000 --> 00:51:20,920 Speaker 3: ways in which they could stop that evolution demographically. 920 00:51:21,040 --> 00:51:24,959 Speaker 1: Their private prison contracts to be modern day concentration camps 921 00:51:24,960 --> 00:51:26,320 Speaker 1: are pretty indicative of there. 922 00:51:26,280 --> 00:51:29,480 Speaker 3: There are ways they can do it. We know from 923 00:51:29,640 --> 00:51:33,719 Speaker 3: history and also the present. Really scary conversation, but I 924 00:51:33,760 --> 00:51:37,719 Speaker 3: will say that I am somebody who comes from an 925 00:51:37,800 --> 00:51:45,600 Speaker 3: ancestry that has survived, works, and somehow holds onto some 926 00:51:45,719 --> 00:51:48,920 Speaker 3: form of optimism and hope and even the worst moments. 927 00:51:49,000 --> 00:51:54,880 Speaker 3: So for me, it's like, we can reach that place, 928 00:51:55,120 --> 00:51:57,839 Speaker 3: but we all have to stay really focused in this 929 00:51:57,960 --> 00:52:02,000 Speaker 3: moment so that we actually have a democracy to engage 930 00:52:02,000 --> 00:52:05,600 Speaker 3: with when our demographics shift and when we could have 931 00:52:05,640 --> 00:52:08,520 Speaker 3: a multi racial democracy. But I think about a lot 932 00:52:08,560 --> 00:52:12,640 Speaker 3: about the fact that I thought I didn't know that 933 00:52:12,719 --> 00:52:15,680 Speaker 3: we would live through quite a dismantling of the democracy 934 00:52:15,680 --> 00:52:17,960 Speaker 3: at the pace in the last month that we've seen 935 00:52:18,200 --> 00:52:19,799 Speaker 3: under a second Trump like term. 936 00:52:20,239 --> 00:52:20,960 Speaker 2: I really didn't. 937 00:52:21,000 --> 00:52:25,080 Speaker 3: I thought that the first Trump term was the backlash. 938 00:52:25,280 --> 00:52:28,200 Speaker 3: Biden winning in twenty twenty was the signal that we 939 00:52:28,200 --> 00:52:30,080 Speaker 3: were going in the right direction. 940 00:52:30,320 --> 00:52:32,520 Speaker 2: I didn't know that we were so. 941 00:52:32,560 --> 00:52:37,279 Speaker 3: Quickly going to make a turn, a U turn. But 942 00:52:37,600 --> 00:52:40,280 Speaker 3: I feel like in some ways that was almost naive 943 00:52:40,600 --> 00:52:43,200 Speaker 3: because history, and Melissa Harris Perry said this a long 944 00:52:43,239 --> 00:52:46,520 Speaker 3: time ago, we always we make progress and then we 945 00:52:46,560 --> 00:52:48,080 Speaker 3: go back. We fight and we fail, and we fight 946 00:52:48,080 --> 00:52:51,440 Speaker 3: and we fail, And that's sort of how progress happens 947 00:52:51,760 --> 00:52:53,200 Speaker 3: is you fight and you fail, you go a little 948 00:52:53,200 --> 00:52:54,839 Speaker 3: bit further, you fail, you go a little bit further, 949 00:52:54,880 --> 00:52:55,240 Speaker 3: you fail. 950 00:52:55,280 --> 00:52:56,960 Speaker 2: And so I'm hopeful that. 951 00:52:56,960 --> 00:53:01,480 Speaker 3: We don't go backwards so far that even catching up 952 00:53:01,480 --> 00:53:04,960 Speaker 3: to where we started, that the status quo of twenty 953 00:53:05,000 --> 00:53:07,239 Speaker 3: twenty is impossible, I don't think. 954 00:53:07,400 --> 00:53:08,560 Speaker 2: I don't think it's impossible. 955 00:53:09,040 --> 00:53:13,480 Speaker 3: I think that as AOC always says, like, some of 956 00:53:13,520 --> 00:53:17,400 Speaker 3: the power is an illusion, right they you know, some 957 00:53:17,480 --> 00:53:19,239 Speaker 3: of it is an illusion. Some of it's real, but 958 00:53:19,320 --> 00:53:21,319 Speaker 3: some of it is an illusion. And I think that 959 00:53:21,400 --> 00:53:24,240 Speaker 3: the power of the people in this country, we the people. 960 00:53:24,400 --> 00:53:28,080 Speaker 3: It's still true, our collective. They change things that they 961 00:53:28,080 --> 00:53:31,040 Speaker 3: were doing the initial days of the administration because of 962 00:53:31,160 --> 00:53:34,919 Speaker 3: the backlash publicly, and so I think that as long 963 00:53:34,960 --> 00:53:40,440 Speaker 3: as that is still true, we can do everything in 964 00:53:40,520 --> 00:53:44,440 Speaker 3: our disposal, you know, through our grassroots organizing, through our 965 00:53:44,480 --> 00:53:48,920 Speaker 3: political pressure, and you know, in the arena of public opinion, 966 00:53:49,920 --> 00:53:54,520 Speaker 3: we can do those things to try to mitigate the damage, 967 00:53:54,600 --> 00:53:56,239 Speaker 3: because it's not going to prevent it, but it can 968 00:53:56,320 --> 00:53:57,759 Speaker 3: mitigate it somewhat well. 969 00:53:57,800 --> 00:54:00,399 Speaker 1: And I think that's really important to remind people. It 970 00:54:00,480 --> 00:54:04,200 Speaker 1: feels hopeless by design, But the more noise we make, 971 00:54:04,880 --> 00:54:10,560 Speaker 1: the more quickly they do retreat. Funding freezes are stopped, 972 00:54:11,480 --> 00:54:15,719 Speaker 1: they try to rehire the team working on bird flu, 973 00:54:17,000 --> 00:54:19,440 Speaker 1: they rehire the people with the nuclear codes. 974 00:54:19,480 --> 00:54:21,520 Speaker 3: You know, shocker, and you imagine getting rid of the 975 00:54:21,520 --> 00:54:23,320 Speaker 3: people working on bird flu. 976 00:54:23,480 --> 00:54:26,480 Speaker 1: I can because you know, he disbanded our pandemic response 977 00:54:26,520 --> 00:54:28,400 Speaker 1: network in twenty seventeen. And I know that because I 978 00:54:28,400 --> 00:54:32,319 Speaker 1: had a friend who worked for it. So I'm not surprised, 979 00:54:33,600 --> 00:54:37,359 Speaker 1: but I am rather shocked that humans who can't go 980 00:54:37,480 --> 00:54:41,560 Speaker 1: live in bunkers aren't hitting the streets. It's also not 981 00:54:41,640 --> 00:54:44,240 Speaker 1: lost on me that there were mass protests on Monday 982 00:54:44,239 --> 00:54:46,040 Speaker 1: and I didn't see them on a single news network. 983 00:54:46,560 --> 00:54:48,680 Speaker 1: I saw them on Instagram, I saw them on TikTok. 984 00:54:49,600 --> 00:54:52,200 Speaker 1: We need to not only apply pressure to the government 985 00:54:52,280 --> 00:54:55,680 Speaker 1: to stop allowing the president to act like a dictator, 986 00:54:55,680 --> 00:54:59,280 Speaker 1: but we also have to apply pressure to the news 987 00:55:00,080 --> 00:55:03,840 Speaker 1: to not bend the knee in advance, to not refuse 988 00:55:03,920 --> 00:55:09,279 Speaker 1: to cover the protests, to not ignore the horrors, to 989 00:55:09,760 --> 00:55:12,759 Speaker 1: talk about the fact that our veterans no longer have 990 00:55:12,840 --> 00:55:17,040 Speaker 1: access to mental health care benefits and treatment for their injuries. 991 00:55:17,440 --> 00:55:21,320 Speaker 1: You know, we need to continue to apply the pressure. 992 00:55:21,320 --> 00:55:23,399 Speaker 1: It's why I think five calls dot org is such 993 00:55:23,400 --> 00:55:27,560 Speaker 1: a good website. It's why I will remind everyone listening 994 00:55:27,640 --> 00:55:31,600 Speaker 1: to listen to your show Mornings with Zerlina As on 995 00:55:31,719 --> 00:55:35,560 Speaker 1: Serious XM one twenty seven. It is certainly one of 996 00:55:35,600 --> 00:55:37,520 Speaker 1: the first places I turn to when I'm pissed and 997 00:55:37,520 --> 00:55:39,680 Speaker 1: stressed and I just need to listen to somebody top 998 00:55:39,760 --> 00:55:42,080 Speaker 1: me down a little bit and remind me of what matters. 999 00:55:42,719 --> 00:55:45,960 Speaker 1: So thank you for that. I really do think we 1000 00:55:46,080 --> 00:55:50,200 Speaker 1: have to be reminded that we are in this together, 1001 00:55:50,280 --> 00:55:53,879 Speaker 1: and there are more of us than there are of 1002 00:55:53,920 --> 00:55:59,560 Speaker 1: the billionaire oligarchy. Certainly, and as so many people who 1003 00:55:59,600 --> 00:56:04,000 Speaker 1: did vot for him, I would like to think because 1004 00:56:04,040 --> 00:56:08,200 Speaker 1: their information was siloed, not because they overtly or consciously 1005 00:56:08,840 --> 00:56:10,920 Speaker 1: agree with the cruelty. I know some do, but I 1006 00:56:10,960 --> 00:56:13,680 Speaker 1: want to appeal to the ones that don't. I hope 1007 00:56:13,680 --> 00:56:17,160 Speaker 1: that the people who believed what they were being sold 1008 00:56:19,000 --> 00:56:22,360 Speaker 1: who will need our help, I hope those are people 1009 00:56:22,400 --> 00:56:25,839 Speaker 1: we can welcome to build a new political future. And 1010 00:56:26,719 --> 00:56:29,759 Speaker 1: just thank you for keeping keeping up the work. Thank 1011 00:56:29,800 --> 00:56:32,400 Speaker 1: you for the substack that's coming. I need it so badly, 1012 00:56:33,320 --> 00:56:38,719 Speaker 1: and I guess I mean it feels like you've done 1013 00:56:38,760 --> 00:56:42,680 Speaker 1: such amazing work, not just in your career but in 1014 00:56:42,719 --> 00:56:48,440 Speaker 1: your life. To give yourself a fuller life, to find respite, 1015 00:56:48,480 --> 00:56:51,040 Speaker 1: to find joy so you can stay in the fight 1016 00:56:51,160 --> 00:56:55,160 Speaker 1: long term. Is the joyful part of resistance. What feels 1017 00:56:55,160 --> 00:56:57,360 Speaker 1: like you're work in progress right now? Because I know 1018 00:56:57,480 --> 00:57:01,360 Speaker 1: moving is a literal work in progress. But but is 1019 00:57:00,600 --> 00:57:04,080 Speaker 1: it is it sort of that whole shift in life, 1020 00:57:04,200 --> 00:57:06,440 Speaker 1: or is it something else that I'm not even thinking of. 1021 00:57:07,040 --> 00:57:10,200 Speaker 3: I think that the joy is part of my journey. 1022 00:57:10,320 --> 00:57:12,080 Speaker 3: It has to be part of my journey. And I 1023 00:57:12,120 --> 00:57:16,120 Speaker 3: think it's because of who my mom was. My late 1024 00:57:16,160 --> 00:57:19,680 Speaker 3: mother was a psychotherapist, so she was always very you know, 1025 00:57:21,320 --> 00:57:23,280 Speaker 3: she was always inquiring like, how are you feeling, what 1026 00:57:23,280 --> 00:57:25,360 Speaker 3: are you feeling, what are you thinking? She was always 1027 00:57:25,400 --> 00:57:27,880 Speaker 3: asking questions like that, And it didn't occur to me 1028 00:57:27,960 --> 00:57:31,600 Speaker 3: until later in my life that not everybody's parents are 1029 00:57:31,680 --> 00:57:34,800 Speaker 3: asking them those questions. But one of the things that 1030 00:57:34,840 --> 00:57:37,440 Speaker 3: she always used to say is that you have to 1031 00:57:38,160 --> 00:57:41,640 Speaker 3: She called it sole care, right, and you have to care. 1032 00:57:41,880 --> 00:57:45,360 Speaker 3: You have to be very, very intentional and care about 1033 00:57:45,440 --> 00:57:47,120 Speaker 3: what you let enter your spirit. 1034 00:57:47,280 --> 00:57:48,640 Speaker 2: That's how she used to talk about it. 1035 00:57:49,560 --> 00:57:54,440 Speaker 3: And because I work in news, and you know, consuming 1036 00:57:54,520 --> 00:57:57,280 Speaker 3: news all day is you're allowing the worst things that 1037 00:57:57,320 --> 00:58:01,320 Speaker 3: are happening to enter into your spirit every day. And 1038 00:58:01,520 --> 00:58:05,400 Speaker 3: because I'm empathetic and compassionate, it affects me. It's not 1039 00:58:05,480 --> 00:58:09,560 Speaker 3: just reading statistics. I feel those things really deeply. I 1040 00:58:09,600 --> 00:58:12,120 Speaker 3: had to I had to get to a place where 1041 00:58:12,760 --> 00:58:19,160 Speaker 3: I could could create space, right to actually live a full, 1042 00:58:19,600 --> 00:58:24,920 Speaker 3: beautiful life that wasn't just news and politics and reaction 1043 00:58:25,480 --> 00:58:28,280 Speaker 3: to what Trump did and reaction to what Republicans did, 1044 00:58:28,360 --> 00:58:29,680 Speaker 3: and and and. 1045 00:58:29,560 --> 00:58:32,600 Speaker 2: I realized that I just wasn't. 1046 00:58:32,760 --> 00:58:36,040 Speaker 3: I mean, the whole day would go, you know, front 1047 00:58:36,080 --> 00:58:38,160 Speaker 3: to back, and I'd be like, what did I do 1048 00:58:38,240 --> 00:58:41,200 Speaker 3: today that was fun? Did I do anything today that 1049 00:58:41,400 --> 00:58:43,040 Speaker 3: was fun at all? 1050 00:58:43,520 --> 00:58:43,720 Speaker 1: Yes? 1051 00:58:44,360 --> 00:58:45,360 Speaker 2: And and I think. 1052 00:58:45,160 --> 00:58:49,440 Speaker 3: That who wants to live a life where they are 1053 00:58:49,480 --> 00:58:54,400 Speaker 3: not enjoying at least a moment of your day? 1054 00:58:54,760 --> 00:58:54,960 Speaker 2: Right? 1055 00:58:55,080 --> 00:58:58,120 Speaker 3: And and that's not to say that And again, I 1056 00:58:58,160 --> 00:59:01,520 Speaker 3: am incredibly privileged, right, I'm incredibly but I work remotely. 1057 00:59:01,640 --> 00:59:04,840 Speaker 3: I'm able to create a life in a way that 1058 00:59:05,000 --> 00:59:07,720 Speaker 3: I know that that is a privilege that I enjoy. 1059 00:59:08,520 --> 00:59:12,760 Speaker 3: But I also know that my mother, she always used 1060 00:59:12,760 --> 00:59:14,760 Speaker 3: to say to me, you know, it's really not you 1061 00:59:14,800 --> 00:59:18,160 Speaker 3: know any kids, you're not married. She's like, you can 1062 00:59:18,200 --> 00:59:20,680 Speaker 3: go anywhere, you can do whatever you want. And I 1063 00:59:20,720 --> 00:59:23,760 Speaker 3: think that those messages that she always used to say 1064 00:59:23,760 --> 00:59:27,760 Speaker 3: to me, they started ringing in my brain. You know, 1065 00:59:27,800 --> 00:59:30,760 Speaker 3: when I was living in Washington, d C. In like 1066 00:59:30,800 --> 00:59:33,600 Speaker 3: twenty twenty three, and I was like, I can go anywhere, 1067 00:59:33,600 --> 00:59:35,200 Speaker 3: I can do what I want, and I think I 1068 00:59:35,200 --> 00:59:38,040 Speaker 3: should do it because what am I waiting for? And 1069 00:59:38,080 --> 00:59:40,080 Speaker 3: now that Trump is back at the White House, it 1070 00:59:40,160 --> 00:59:44,240 Speaker 3: really feels like, Okay, I'm glad. 1071 00:59:42,680 --> 00:59:44,240 Speaker 2: I made the move. 1072 00:59:44,320 --> 00:59:47,560 Speaker 3: I took the leap of faith because you know, you 1073 00:59:47,600 --> 00:59:48,880 Speaker 3: can't take anything for granted. 1074 00:59:49,400 --> 00:59:51,960 Speaker 2: You can't take anything for granted. So for me, it's 1075 00:59:52,000 --> 00:59:52,880 Speaker 2: about I say this. 1076 00:59:53,320 --> 00:59:55,280 Speaker 3: I start my show every single morning with a moment 1077 00:59:55,280 --> 00:59:58,000 Speaker 3: of gratitude, Like even if I in some days I'm like, 1078 00:59:58,080 --> 00:59:59,680 Speaker 3: I don't even know what I'm grateful. 1079 01:00:00,000 --> 01:00:01,840 Speaker 2: I don't know, like I'm trying to think. It was 1080 01:00:01,840 --> 01:00:02,520 Speaker 2: hard to think of it. 1081 01:00:02,640 --> 01:00:05,840 Speaker 3: Yeah, but I actually do that to model for everybody 1082 01:00:05,880 --> 01:00:08,280 Speaker 3: listening that they should do that in their own mourning, 1083 01:00:08,440 --> 01:00:11,240 Speaker 3: because you have to sort of late have that be 1084 01:00:11,320 --> 01:00:13,960 Speaker 3: the foundation of what you're doing. And then at the 1085 01:00:14,040 --> 01:00:16,400 Speaker 3: end of the show every day most days, I'm like, Okay, 1086 01:00:16,480 --> 01:00:18,880 Speaker 3: do something that sparks joy today, please, Like, I don't 1087 01:00:18,880 --> 01:00:20,400 Speaker 3: care what it is, but you're going to do that. 1088 01:00:20,520 --> 01:00:24,720 Speaker 3: And we have a weekly segment mental health Mondays, because 1089 01:00:24,760 --> 01:00:26,520 Speaker 3: if you're going to listen to a new show to 1090 01:00:26,560 --> 01:00:28,520 Speaker 3: start your morning, I'm going to have to give you 1091 01:00:28,600 --> 01:00:31,160 Speaker 3: a little bit to help you with your mental health 1092 01:00:31,200 --> 01:00:34,520 Speaker 3: and your mental well being because this is hard. This 1093 01:00:34,600 --> 01:00:36,440 Speaker 3: is hard, and no sugarcoating that. 1094 01:00:37,360 --> 01:00:41,400 Speaker 1: I love that. It really reminds. What you're reminding me 1095 01:00:41,600 --> 01:00:44,480 Speaker 1: is that we live so much of our life and reactivity. 1096 01:00:44,560 --> 01:00:46,720 Speaker 1: It's the nature of the world, especially if you care 1097 01:00:46,760 --> 01:00:51,680 Speaker 1: about the world, that to dedicate real routine time, even 1098 01:00:51,720 --> 01:00:55,800 Speaker 1: if it's five minutes to proactivity, is something that you deserve. 1099 01:00:56,400 --> 01:01:00,840 Speaker 3: Yeah, you have to do something that you enjoy. I mean, 1100 01:01:00,880 --> 01:01:04,640 Speaker 3: I had someone ask me recently. They were like, so, 1101 01:01:04,960 --> 01:01:06,760 Speaker 3: what do you like to do for fun? And I 1102 01:01:06,800 --> 01:01:09,800 Speaker 3: was like, I don't understand the question. And they were like, 1103 01:01:09,960 --> 01:01:13,080 Speaker 3: is there anything that you do that it wouldn't matter 1104 01:01:13,440 --> 01:01:14,560 Speaker 3: if you weren't good at. 1105 01:01:14,400 --> 01:01:16,640 Speaker 2: It, you just enjoy doing it. I was like, I. 1106 01:01:16,640 --> 01:01:19,120 Speaker 3: Really don't understand your question. I don't understand. What do 1107 01:01:19,120 --> 01:01:21,080 Speaker 3: you mean I'm not good at it? Like I'm doing 1108 01:01:21,120 --> 01:01:23,640 Speaker 3: something and I'm not good at it, Like I don't there's. 1109 01:01:23,440 --> 01:01:25,440 Speaker 2: Nothing that I do that's like that. I don't have 1110 01:01:25,560 --> 01:01:27,440 Speaker 2: things like that. They're like, well, this is what you're 1111 01:01:27,440 --> 01:01:27,800 Speaker 2: gonna do. 1112 01:01:27,840 --> 01:01:29,840 Speaker 1: This is the beginning of the jet this is. 1113 01:01:29,840 --> 01:01:33,080 Speaker 3: How you need to tap into doing things for the 1114 01:01:33,120 --> 01:01:34,240 Speaker 3: pure enjoyment of it. 1115 01:01:34,440 --> 01:01:36,720 Speaker 2: And so that's sort of the journey I'm on. 1116 01:01:37,040 --> 01:01:41,200 Speaker 3: Right now because I realized that I was, I mean, 1117 01:01:41,480 --> 01:01:44,640 Speaker 3: like so many other people, you know, you're just focused 1118 01:01:44,680 --> 01:01:47,840 Speaker 3: on your kids, your work, your career. 1119 01:01:47,800 --> 01:01:50,160 Speaker 1: And then years go by and you go, wait. 1120 01:01:50,480 --> 01:01:52,840 Speaker 2: Wait, wait a minute, what happen? 1121 01:01:52,840 --> 01:01:55,959 Speaker 1: Wait a minute. I like being encouraged to take a minute. 1122 01:01:56,040 --> 01:01:58,520 Speaker 1: Thank you, and thank you for all of the work, 1123 01:01:58,560 --> 01:02:01,480 Speaker 1: for the writing and the show and the soon to 1124 01:02:01,520 --> 01:02:04,960 Speaker 1: be substack and all of it. You know, you you 1125 01:02:05,160 --> 01:02:08,520 Speaker 1: really as both a you know, a friend and a 1126 01:02:08,560 --> 01:02:11,560 Speaker 1: sort of compatriot out there in the world. You always 1127 01:02:11,640 --> 01:02:14,760 Speaker 1: remind me to be good to myself and to others. 1128 01:02:14,760 --> 01:02:15,520 Speaker 1: So thank you for that. 1129 01:02:16,200 --> 01:02:16,600 Speaker 2: Thank you