1 00:00:00,400 --> 00:00:03,440 Speaker 1: Welcome back to she Pivots. I'm Yasmin Raji and I'm 2 00:00:03,440 --> 00:00:05,200 Speaker 1: the executive director of Swing Left. 3 00:00:10,960 --> 00:00:14,960 Speaker 2: Welcome back to sheep Pivots. I'm your host, Emily Tish Sussman. 4 00:00:15,480 --> 00:00:17,440 Speaker 2: When I was planning this season, I wanted to make 5 00:00:17,440 --> 00:00:20,959 Speaker 2: sure she Pivots was a means for building connections. I 6 00:00:21,040 --> 00:00:23,960 Speaker 2: said during our season launch party that we're the generation 7 00:00:24,040 --> 00:00:27,120 Speaker 2: of women who build bridges and don't tear each other down, 8 00:00:27,680 --> 00:00:29,800 Speaker 2: and she pivots as a way to empower women to 9 00:00:29,840 --> 00:00:34,240 Speaker 2: look inward, define success for themselves and not by society standards. 10 00:00:34,840 --> 00:00:35,640 Speaker 3: And it's working. 11 00:00:36,320 --> 00:00:39,240 Speaker 2: We're seeing a substantial change in the way women think 12 00:00:39,280 --> 00:00:42,680 Speaker 2: about and talk about their lives and their careers. I'm 13 00:00:42,720 --> 00:00:45,480 Speaker 2: so excited to dig deeper into these pivotal moments through 14 00:00:45,479 --> 00:00:49,800 Speaker 2: these shorter, more conversational Candon convos this season. Let's jump 15 00:00:49,880 --> 00:00:56,960 Speaker 2: right in on today's Candon Convo. I'm so excited to 16 00:00:57,000 --> 00:01:00,720 Speaker 2: have the one and only Yasmin Raji. Today we're not 17 00:01:00,760 --> 00:01:03,520 Speaker 2: only diving into what is needed to win in this election, 18 00:01:03,840 --> 00:01:08,680 Speaker 2: but announcing that I am pivoting or reverse pivoting into politics. 19 00:01:09,080 --> 00:01:11,920 Speaker 2: I just couldn't stay away, and I'm so honored to 20 00:01:11,959 --> 00:01:14,400 Speaker 2: share that I'm now serving on the board of Swing. 21 00:01:14,240 --> 00:01:15,920 Speaker 3: Left for she's the executive director. 22 00:01:16,600 --> 00:01:19,360 Speaker 2: I wanted to come out of retirement from politics for 23 00:01:19,480 --> 00:01:22,119 Speaker 2: this election because it just feels like there's too much 24 00:01:22,200 --> 00:01:25,959 Speaker 2: at stake, and why specifically Swing Left. I mean, when 25 00:01:25,959 --> 00:01:28,120 Speaker 2: I was working in politics, I was so deep in 26 00:01:28,200 --> 00:01:30,480 Speaker 2: it that I was like in the machine. 27 00:01:30,840 --> 00:01:31,920 Speaker 3: And then I took. 28 00:01:31,760 --> 00:01:35,199 Speaker 2: A pretty hard break, like a pretty hard step back 29 00:01:35,240 --> 00:01:38,240 Speaker 2: to start this show, she pivots just to be able 30 00:01:38,280 --> 00:01:41,240 Speaker 2: to have conversations and think about changing culture by uplifting 31 00:01:41,280 --> 00:01:44,319 Speaker 2: different kinds of stories. And then when I thought to myself, 32 00:01:44,640 --> 00:01:47,640 Speaker 2: how can I possibly engage again? I can't go back 33 00:01:47,640 --> 00:01:49,800 Speaker 2: into the machine, like I can't go back into the 34 00:01:50,000 --> 00:01:53,320 Speaker 2: deep depths of politics. I need to do something that 35 00:01:53,440 --> 00:01:56,880 Speaker 2: is an easier and more accessible lift for me. And 36 00:01:56,920 --> 00:02:00,400 Speaker 2: now I am the suburban swing district mom, and so 37 00:02:00,560 --> 00:02:02,640 Speaker 2: now I am the person that I was always trying 38 00:02:02,640 --> 00:02:05,680 Speaker 2: to reach. Swing Left felt like the perfect marriage of 39 00:02:05,720 --> 00:02:08,480 Speaker 2: those things. I used to be on the political side 40 00:02:08,560 --> 00:02:10,919 Speaker 2: and now I'm on the volunteer side. So I'm really 41 00:02:10,960 --> 00:02:12,919 Speaker 2: excited to get into this conversation with Yasmin. 42 00:02:18,880 --> 00:02:19,920 Speaker 3: I'm Yasmin Raji. 43 00:02:20,040 --> 00:02:23,840 Speaker 1: I'm executive director of Swing Left, a national organization that 44 00:02:23,919 --> 00:02:27,800 Speaker 1: engages volunteers and donors in the highest impact actions to 45 00:02:27,880 --> 00:02:29,520 Speaker 1: help Democrats win majorities. 46 00:02:30,320 --> 00:02:34,760 Speaker 2: Okay, so talk to me a little bit about Well, first, 47 00:02:34,840 --> 00:02:36,640 Speaker 2: let's give a little background. How do you and I 48 00:02:36,680 --> 00:02:38,639 Speaker 2: know each other? Like, if this is my pivot back 49 00:02:38,680 --> 00:02:41,079 Speaker 2: into politics, how do we know each other? 50 00:02:41,800 --> 00:02:44,120 Speaker 1: I actually was going to give the wrong answer, but 51 00:02:44,560 --> 00:02:48,920 Speaker 1: what I am now remembering is in twenty seventeen, I 52 00:02:49,200 --> 00:02:51,440 Speaker 1: was one of the co founders of an organization called 53 00:02:51,520 --> 00:02:54,919 Speaker 1: Resistant School, and we were flying by the seat of 54 00:02:54,919 --> 00:02:58,440 Speaker 1: our pants and we got an email from some extremely 55 00:02:58,480 --> 00:03:03,720 Speaker 1: important DC powerbroker named Emily Tish Sussman saying, do you 56 00:03:03,720 --> 00:03:07,600 Speaker 1: guys want to come to a cap action get together 57 00:03:07,760 --> 00:03:11,560 Speaker 1: with new resistance leaders? And we were like, oh my god, 58 00:03:11,680 --> 00:03:14,040 Speaker 1: people have paid attention to this thing that we're doing. 59 00:03:14,639 --> 00:03:15,320 Speaker 3: And we flew. 60 00:03:15,360 --> 00:03:17,600 Speaker 1: I don't remember where I assumed DC, but I can't 61 00:03:17,639 --> 00:03:18,200 Speaker 1: really remember. 62 00:03:18,480 --> 00:03:21,320 Speaker 3: No, No, it was California. I was in California. 63 00:03:21,600 --> 00:03:23,519 Speaker 1: Yeah, I think it was kind it's like a million 64 00:03:23,600 --> 00:03:27,600 Speaker 1: years ago. Yeah, that's right. And we got together in 65 00:03:27,680 --> 00:03:30,720 Speaker 1: a room and I had a little Moleskin notebook where 66 00:03:30,720 --> 00:03:33,880 Speaker 1: I think I wrote down every word of what anybody said, 67 00:03:33,880 --> 00:03:36,920 Speaker 1: because I was so fired up to be in this 68 00:03:37,080 --> 00:03:39,880 Speaker 1: room of all the people I had been engaging with 69 00:03:39,960 --> 00:03:43,640 Speaker 1: online actually getting together to think about how the ecosystem 70 00:03:43,640 --> 00:03:46,280 Speaker 1: could work together better. And you were the brain behind 71 00:03:46,320 --> 00:03:49,240 Speaker 1: that get together. And then I don't know that we 72 00:03:49,280 --> 00:03:52,760 Speaker 1: really build a relationship until I don't even remember what 73 00:03:52,800 --> 00:03:57,520 Speaker 1: the impetus was, maybe Planned Parenthood worl repro world, But anyway, 74 00:03:57,600 --> 00:04:00,320 Speaker 1: now it's sort of like one of those relationships where 75 00:04:00,560 --> 00:04:02,960 Speaker 1: I don't even remember quite where it began, but it 76 00:04:02,960 --> 00:04:04,640 Speaker 1: feels like it's always been a part of my life. 77 00:04:04,760 --> 00:04:06,760 Speaker 3: Yeah, I was remembering, that was exactly right. 78 00:04:06,800 --> 00:04:09,920 Speaker 2: It was that after I worked at the Democratic thing 79 00:04:10,000 --> 00:04:13,240 Speaker 2: Tank that were the progressive thing tank that was considered 80 00:04:13,280 --> 00:04:16,080 Speaker 2: in twenty sixteen for like the Hillary Clinton administration. 81 00:04:16,279 --> 00:04:17,080 Speaker 3: People called it like. 82 00:04:17,120 --> 00:04:19,280 Speaker 2: Quote the White House in waiting because everyone was like 83 00:04:19,360 --> 00:04:23,360 Speaker 2: getting themselves ready for the Clinton administration. And I had 84 00:04:23,400 --> 00:04:26,480 Speaker 2: my first kid in the middle of it, like in August, 85 00:04:26,720 --> 00:04:29,039 Speaker 2: so I was on maternity leave the whole fall when 86 00:04:29,040 --> 00:04:31,040 Speaker 2: we were like this time of twenty sixteen of the 87 00:04:31,120 --> 00:04:33,640 Speaker 2: Hillary Clinton election, and my first day back from maternity 88 00:04:33,720 --> 00:04:36,719 Speaker 2: leave was the Monday after the election. So like when 89 00:04:36,720 --> 00:04:39,240 Speaker 2: you thought everybody in America was just like crying at 90 00:04:39,279 --> 00:04:41,760 Speaker 2: work and crying on the subway. Like think about walking 91 00:04:41,800 --> 00:04:44,480 Speaker 2: into the quote White House and waiting where everyone's offices 92 00:04:44,520 --> 00:04:47,680 Speaker 2: were packed up to move into their transition offices, like 93 00:04:47,720 --> 00:04:50,720 Speaker 2: they had no unbelievable, like no one knew what their 94 00:04:50,760 --> 00:04:52,760 Speaker 2: job was supposed to be. Everyone It's been the last 95 00:04:52,800 --> 00:04:55,080 Speaker 2: three years getting ready for this point, and I had 96 00:04:55,120 --> 00:04:57,000 Speaker 2: just had my first kid. So I came back with 97 00:04:57,040 --> 00:04:59,680 Speaker 2: this like new mom energy and was like, I'm going 98 00:04:59,720 --> 00:05:02,720 Speaker 2: to prove to everyone that, like I'm the same worker. 99 00:05:02,880 --> 00:05:03,880 Speaker 3: I worked just as hard. 100 00:05:04,000 --> 00:05:05,800 Speaker 2: So where as everyone was just like sitting around crying, 101 00:05:05,839 --> 00:05:08,680 Speaker 2: I was like spinning circles around. I mean I think 102 00:05:08,680 --> 00:05:11,359 Speaker 2: in my head too, but I was like, I've got 103 00:05:11,360 --> 00:05:14,200 Speaker 2: to be productive, like I have to do something valuable. 104 00:05:14,440 --> 00:05:19,000 Speaker 2: And saw that all of these like quote resistance groups 105 00:05:19,120 --> 00:05:21,680 Speaker 2: people were like popping up all over the country, and 106 00:05:21,720 --> 00:05:24,920 Speaker 2: it was all these people who it was someone who 107 00:05:24,960 --> 00:05:28,279 Speaker 2: was like the smartest, most plugged in political person of 108 00:05:28,360 --> 00:05:31,480 Speaker 2: their friends and was like sending out like daily actions 109 00:05:31,480 --> 00:05:33,400 Speaker 2: you could do, And all of a sudden had an 110 00:05:33,440 --> 00:05:35,640 Speaker 2: email list of thirty five thousand people. 111 00:05:36,760 --> 00:05:38,479 Speaker 3: That was very much the vie of that era. 112 00:05:38,760 --> 00:05:41,039 Speaker 2: Yeah, Like we had so many of those people, and 113 00:05:41,080 --> 00:05:43,320 Speaker 2: I was like, okay, well what can we do, Like 114 00:05:43,400 --> 00:05:44,720 Speaker 2: what a value add can we have here? 115 00:05:44,720 --> 00:05:47,320 Speaker 3: Like we're a think tank, we can provide people with information. 116 00:05:47,440 --> 00:05:49,760 Speaker 2: And then the next step was like, well, a lot 117 00:05:49,800 --> 00:05:51,680 Speaker 2: of these people wanted to make them groups and like 118 00:05:51,720 --> 00:05:54,479 Speaker 2: make them stainable, make them continue. It's like, well, what 119 00:05:54,520 --> 00:05:58,080 Speaker 2: if we give them like sustainability training, like how to stay, 120 00:05:58,440 --> 00:06:01,920 Speaker 2: how to maintain an org? And so we put that together. 121 00:06:01,960 --> 00:06:04,960 Speaker 2: I remember you were there. I think Swing Left was there, 122 00:06:05,040 --> 00:06:06,000 Speaker 2: Indivisible was there? 123 00:06:06,040 --> 00:06:10,600 Speaker 1: Definitely, Yes, Women's March was there, A bunch of it 124 00:06:10,640 --> 00:06:13,880 Speaker 1: was maybe like thirty different groups. I remember I wrote 125 00:06:13,880 --> 00:06:16,240 Speaker 1: a briefing to myself about the group so I could 126 00:06:16,279 --> 00:06:18,560 Speaker 1: like understand. 127 00:06:18,080 --> 00:06:19,119 Speaker 3: You know, it's one of those. 128 00:06:19,200 --> 00:06:21,560 Speaker 1: It was just it was a very exciting moment, and 129 00:06:21,600 --> 00:06:25,560 Speaker 1: it was truly like, you know, as someone who'd been 130 00:06:25,600 --> 00:06:29,200 Speaker 1: following so much of what was happening online but couldn't 131 00:06:29,279 --> 00:06:33,800 Speaker 1: tell like who's behind this thing, what's their strategy, what 132 00:06:33,880 --> 00:06:36,600 Speaker 1: are they doing? Why did they do this? I think 133 00:06:36,640 --> 00:06:39,280 Speaker 1: Andy Kim might have been there because he had started that. 134 00:06:39,600 --> 00:06:43,560 Speaker 3: Andy Kim was there, Yeah, he had started Rise Yes. 135 00:06:43,839 --> 00:06:46,880 Speaker 1: Yeah, So it is sort of funny. And in your 136 00:06:47,320 --> 00:06:50,400 Speaker 1: helping to organize the white women for Kamala Harris call, 137 00:06:50,839 --> 00:06:53,360 Speaker 1: a few of the women that were heavily involved were 138 00:06:53,440 --> 00:06:55,880 Speaker 1: some of the Women's March people who were in that room. 139 00:06:56,279 --> 00:06:58,800 Speaker 1: Andy Kim is now running for the US and he's 140 00:06:58,800 --> 00:07:02,760 Speaker 1: going to need a nextcent senator from New Jersey. And 141 00:07:02,800 --> 00:07:04,640 Speaker 1: you and I are coming full circle here, which I 142 00:07:04,680 --> 00:07:08,400 Speaker 1: know is sort of like previewing the purpose of this conversation, 143 00:07:08,560 --> 00:07:10,800 Speaker 1: but it does feel like it's a good reminder of 144 00:07:10,880 --> 00:07:14,080 Speaker 1: like there are some rooms and moments where you're surrounded 145 00:07:14,080 --> 00:07:16,720 Speaker 1: by people and you know it's special and you know 146 00:07:16,760 --> 00:07:18,720 Speaker 1: something's going to come of it, but you can't begin 147 00:07:18,800 --> 00:07:22,520 Speaker 1: to imagine sort of the seeds of relationships and good 148 00:07:22,520 --> 00:07:24,280 Speaker 1: trouble that are going to come from it. And that 149 00:07:24,480 --> 00:07:26,760 Speaker 1: was you created one of those rooms that has only 150 00:07:26,800 --> 00:07:27,960 Speaker 1: continued to bear fruits. 151 00:07:28,320 --> 00:07:31,040 Speaker 2: Well that's so lovely, Okay. So I ended up leaving, 152 00:07:31,120 --> 00:07:32,880 Speaker 2: I had my second kid. I ended up going to 153 00:07:32,920 --> 00:07:36,920 Speaker 2: work for Swing Left in twenty eighteen and running the 154 00:07:37,000 --> 00:07:41,160 Speaker 2: National Celebrity Program, so placing celebrity in swing congressional districts 155 00:07:41,200 --> 00:07:44,120 Speaker 2: all over the country in like a midterm election which 156 00:07:44,160 --> 00:07:46,000 Speaker 2: was at the time was like a perfect fit for 157 00:07:46,080 --> 00:07:48,240 Speaker 2: like where I was and trying to take the skills 158 00:07:48,240 --> 00:07:49,920 Speaker 2: that I had had, but it was more like a 159 00:07:50,000 --> 00:07:53,520 Speaker 2: sprint than a marathon, so which was like the right time. 160 00:07:53,520 --> 00:07:56,240 Speaker 2: I mean, at that point, I had two kids under 161 00:07:56,280 --> 00:07:58,960 Speaker 2: eighteen months, so that was like the right fit. I 162 00:07:59,000 --> 00:08:00,560 Speaker 2: just sort of like checked out of my personal life 163 00:08:00,560 --> 00:08:02,280 Speaker 2: and like checked into my professional life. 164 00:08:02,360 --> 00:08:04,800 Speaker 1: You're kind of understating this. You were also like on 165 00:08:04,880 --> 00:08:09,640 Speaker 1: Campbell News at four am and two AM and six 166 00:08:09,680 --> 00:08:12,720 Speaker 1: am and then schlepping to one congressional district and schlepping 167 00:08:12,760 --> 00:08:15,560 Speaker 1: to another. So you did the classic mom like it 168 00:08:15,600 --> 00:08:16,920 Speaker 1: was no big deal. It was just what could fit 169 00:08:16,920 --> 00:08:19,720 Speaker 1: into my schedule. But like a normal schedule is not 170 00:08:20,280 --> 00:08:23,160 Speaker 1: let me do a four am news hit and then 171 00:08:23,240 --> 00:08:24,280 Speaker 1: breastfeed my child. 172 00:08:24,320 --> 00:08:26,520 Speaker 3: So let's just be clear about what we're talking about here. 173 00:08:27,000 --> 00:08:29,080 Speaker 2: Yeah, we did do a little bit of that was 174 00:08:29,280 --> 00:08:31,960 Speaker 2: that was in there too, Okay, But then as people 175 00:08:32,000 --> 00:08:34,440 Speaker 2: have been following the show, No I had the third kid, 176 00:08:34,600 --> 00:08:37,600 Speaker 2: went into the lockdown and basically took myself out of 177 00:08:37,640 --> 00:08:40,320 Speaker 2: politics because I didn't think it was accessible to me anymore. 178 00:08:40,640 --> 00:08:43,640 Speaker 2: Like the intersection of politics and media, like all of 179 00:08:43,679 --> 00:08:45,920 Speaker 2: that timing that you're describing, Like all of the work, 180 00:08:46,280 --> 00:08:50,160 Speaker 2: it's so predicated on having like up to date information 181 00:08:50,400 --> 00:08:53,280 Speaker 2: and being available at six am and being able to 182 00:08:53,280 --> 00:08:56,480 Speaker 2: go to a swing district. Like the way to basically 183 00:08:56,640 --> 00:09:00,640 Speaker 2: stay in our industry of politics is to be constantly 184 00:09:00,679 --> 00:09:02,840 Speaker 2: on top of it, which really appealed to me when 185 00:09:02,880 --> 00:09:04,920 Speaker 2: I didn't have kids, because I was always had to 186 00:09:04,920 --> 00:09:07,880 Speaker 2: stay engaged. And then when I had three kids under 187 00:09:07,880 --> 00:09:10,480 Speaker 2: three and a half, like the industry was no longer 188 00:09:10,520 --> 00:09:13,320 Speaker 2: accessible to me, And so I started this show she Pivot, 189 00:09:13,360 --> 00:09:15,719 Speaker 2: and like, I thought about my impact being moving from 190 00:09:15,800 --> 00:09:18,080 Speaker 2: legislative change or political change to being in culture change, 191 00:09:18,080 --> 00:09:20,400 Speaker 2: like telling different stories, like stories that might change the 192 00:09:20,440 --> 00:09:23,000 Speaker 2: way we think about things. And so I've been totally 193 00:09:23,040 --> 00:09:26,920 Speaker 2: out of politics. And then well we've always been in touch. 194 00:09:27,120 --> 00:09:29,680 Speaker 2: But then a few weeks ago, what did you say 195 00:09:29,679 --> 00:09:32,640 Speaker 2: to me? I said, Emily, I think that you were 196 00:09:32,720 --> 00:09:33,640 Speaker 2: lying to yourself. 197 00:09:33,679 --> 00:09:36,360 Speaker 1: You keep saying I don't think that I have the 198 00:09:36,440 --> 00:09:39,040 Speaker 1: capacity to do politics because I've taken on all of 199 00:09:39,040 --> 00:09:41,840 Speaker 1: these big personal roles and like a. 200 00:09:41,720 --> 00:09:44,160 Speaker 3: Lot of moms, you are. 201 00:09:44,440 --> 00:09:48,080 Speaker 1: Running things at your kids' school, you are super it's 202 00:09:48,200 --> 00:09:51,240 Speaker 1: important to you as it should be so to all 203 00:09:51,280 --> 00:09:55,000 Speaker 1: of us moms to be present for soccer practices and 204 00:09:55,120 --> 00:09:58,280 Speaker 1: travel and family commitments and all the things. And as 205 00:09:58,320 --> 00:10:00,240 Speaker 1: you went through your schedule, you're like, it's just not 206 00:10:00,280 --> 00:10:02,960 Speaker 1: possible to fit in anything else, so I just can't 207 00:10:03,000 --> 00:10:06,560 Speaker 1: do politics. And I was like, Emily, let's just look 208 00:10:06,600 --> 00:10:09,120 Speaker 1: back at your past few weeks. You're saying you can't 209 00:10:09,160 --> 00:10:12,120 Speaker 1: fit things into politics, but you were heavily involved in 210 00:10:12,240 --> 00:10:15,760 Speaker 1: orchestrating the White Women for Kamala Call that was a 211 00:10:15,800 --> 00:10:19,400 Speaker 1: record breaking fundraiser with tens of thousands of people. You've 212 00:10:19,440 --> 00:10:23,800 Speaker 1: been busy connecting different people across media and politics with 213 00:10:23,840 --> 00:10:27,000 Speaker 1: each other, including connecting me to some amazing women to 214 00:10:27,080 --> 00:10:30,640 Speaker 1: make sure that there's connective tissue across people who might 215 00:10:30,679 --> 00:10:33,040 Speaker 1: not be in touch with each other. But if they could, 216 00:10:33,280 --> 00:10:36,120 Speaker 1: if we could join forces, we could do exponentially more 217 00:10:36,160 --> 00:10:39,120 Speaker 1: impactful things. I was like, Emily, you are doing it. 218 00:10:39,400 --> 00:10:42,400 Speaker 1: You are just pretending like it is an afterthought and 219 00:10:42,440 --> 00:10:45,760 Speaker 1: not something that is on your mind, and let's just 220 00:10:46,480 --> 00:10:49,080 Speaker 1: call it what it is, which is still a huge 221 00:10:49,160 --> 00:10:52,280 Speaker 1: part of who you are, but a new you who 222 00:10:52,320 --> 00:10:56,200 Speaker 1: has also a full plate of other activities, and let's 223 00:10:56,640 --> 00:11:00,160 Speaker 1: just create an opportunity for you to do it with 224 00:11:00,200 --> 00:11:02,600 Speaker 1: a name on it, because you're already doing the work. 225 00:11:02,679 --> 00:11:06,120 Speaker 1: And so I did a leap of faith and said, Emily, 226 00:11:06,360 --> 00:11:08,839 Speaker 1: I think that you should join the board of Swing Left, 227 00:11:09,280 --> 00:11:11,840 Speaker 1: and I think that you can help us really grow 228 00:11:11,920 --> 00:11:15,280 Speaker 1: in ways that are outside of any of our current 229 00:11:15,320 --> 00:11:20,680 Speaker 1: expertise around the intersection of politics with not just media, 230 00:11:20,760 --> 00:11:24,200 Speaker 1: but media that is focused on people who are not 231 00:11:24,360 --> 00:11:27,920 Speaker 1: doing politics full time. So whether that's you know, people 232 00:11:28,000 --> 00:11:31,920 Speaker 1: who are reading lifestyle or fashion publications, whether that's people 233 00:11:31,920 --> 00:11:35,040 Speaker 1: who are following some light political content on social media 234 00:11:35,120 --> 00:11:38,200 Speaker 1: but aren't going to go and read Politico every morning, 235 00:11:38,559 --> 00:11:41,839 Speaker 1: you understand that intersection and you're already helping. Some of 236 00:11:41,880 --> 00:11:44,600 Speaker 1: the best advice I've gotten since becoming executive director has 237 00:11:44,640 --> 00:11:47,199 Speaker 1: been from you, Emily, and so I was like, let's 238 00:11:47,240 --> 00:11:49,760 Speaker 1: just give a title to what you're already doing. And 239 00:11:49,800 --> 00:11:52,640 Speaker 1: you Hamden had because you were like the type of 240 00:11:52,679 --> 00:11:55,320 Speaker 1: person that every one of your listeners knows that you are, 241 00:11:55,440 --> 00:11:57,800 Speaker 1: and you're like, I'm doing a lot for the school. 242 00:11:57,880 --> 00:11:59,920 Speaker 1: I need to make sure that these like my five 243 00:12:00,040 --> 00:12:02,720 Speaker 1: step program or probably knowing you like twenty step program 244 00:12:02,800 --> 00:12:06,679 Speaker 1: of Impact is perfect and as you thought about it, 245 00:12:06,760 --> 00:12:09,760 Speaker 1: you decided you just can't sit on the sidelines of selection. 246 00:12:10,360 --> 00:12:13,000 Speaker 3: I loved what you said. I love how you phrased it. 247 00:12:13,000 --> 00:12:15,600 Speaker 2: You said, Emily, you're a political animal and you're pretending 248 00:12:15,600 --> 00:12:16,000 Speaker 2: that you're not. 249 00:12:16,600 --> 00:12:20,840 Speaker 1: And I was like, oh, except last exactly, exactly exactly. 250 00:12:28,559 --> 00:12:33,559 Speaker 3: Now back to the show. And I also think super 251 00:12:33,600 --> 00:12:36,040 Speaker 3: important to note that you're a mom of two young 252 00:12:36,120 --> 00:12:40,000 Speaker 3: kids too. That's right, that's right, like you are your client, 253 00:12:40,960 --> 00:12:41,360 Speaker 3: that's right. 254 00:12:41,400 --> 00:12:43,600 Speaker 1: Well, I mean I do think it's something I think 255 00:12:43,640 --> 00:12:47,000 Speaker 1: about a lot is we all have like different seasons 256 00:12:47,040 --> 00:12:49,079 Speaker 1: of our life. Right You've touched on this a lot. 257 00:12:49,120 --> 00:12:51,479 Speaker 1: I think that's like a common theme in this podcast 258 00:12:51,640 --> 00:12:55,200 Speaker 1: of there are seasons where all we think about is work, 259 00:12:55,240 --> 00:12:57,520 Speaker 1: and there are seasons where all we literally can think 260 00:12:57,559 --> 00:13:02,240 Speaker 1: about is keeping our infant child fed with the vast 261 00:13:02,280 --> 00:13:04,800 Speaker 1: amount of milk that is emerging from our body. Right, Like, 262 00:13:04,840 --> 00:13:08,480 Speaker 1: there's just seasons of life. And I think something you 263 00:13:08,559 --> 00:13:10,240 Speaker 1: and I have talked about a lot, but that is 264 00:13:10,240 --> 00:13:12,560 Speaker 1: really front of mine for me right now, is in 265 00:13:12,600 --> 00:13:14,960 Speaker 1: this season of life, there is nothing. 266 00:13:14,640 --> 00:13:16,320 Speaker 3: More important than family. 267 00:13:16,520 --> 00:13:19,360 Speaker 1: Like it is, there is nothing that I would ever 268 00:13:19,440 --> 00:13:23,480 Speaker 1: prioritize over my kids. Over also my aging parents, you know, 269 00:13:23,600 --> 00:13:26,360 Speaker 1: like it's just family is the number one and that 270 00:13:26,480 --> 00:13:30,120 Speaker 1: actually makes my level of focus on politics feel that 271 00:13:30,280 --> 00:13:33,560 Speaker 1: much stronger because I'm just like, this is not a game, 272 00:13:33,800 --> 00:13:36,520 Speaker 1: Like this is about the future of our kids, and 273 00:13:36,559 --> 00:13:39,000 Speaker 1: so this season of life, I think, is about like 274 00:13:39,160 --> 00:13:44,440 Speaker 1: how to make the work relate to what really matters, 275 00:13:44,480 --> 00:13:48,120 Speaker 1: which is family and our future. And so yeah, so 276 00:13:48,280 --> 00:13:50,680 Speaker 1: I'm very tired, as you can probably tell from the 277 00:13:50,800 --> 00:13:53,520 Speaker 1: deep recesses under my eyes at this time, because I 278 00:13:53,559 --> 00:13:56,640 Speaker 1: do not have the same under eye moisturizing regimen that 279 00:13:56,679 --> 00:14:00,440 Speaker 1: Emily does. But I feel also really energized. And I 280 00:14:00,440 --> 00:14:04,480 Speaker 1: also think that's like swing to have volunteers like work 281 00:14:04,559 --> 00:14:08,559 Speaker 1: full time and have kids and have family members that 282 00:14:08,559 --> 00:14:11,520 Speaker 1: they're taking care of and have mortgages to pay and 283 00:14:11,640 --> 00:14:15,080 Speaker 1: have all these things to do and still see their 284 00:14:15,080 --> 00:14:18,120 Speaker 1: participation in our politics as an essential part of living 285 00:14:18,120 --> 00:14:21,080 Speaker 1: out their values. And their budgets vary, right, Like I 286 00:14:21,080 --> 00:14:24,040 Speaker 1: have a neighbor who every Wednesday night she writes letters 287 00:14:24,040 --> 00:14:27,440 Speaker 1: to voters after her kid or toddler goes down. That's 288 00:14:27,440 --> 00:14:29,520 Speaker 1: her budget, that is all she can afford to do 289 00:14:29,640 --> 00:14:31,960 Speaker 1: right now. And then the Saturday for the election, she's 290 00:14:32,000 --> 00:14:34,080 Speaker 1: going to go out to a swing district to knock 291 00:14:34,120 --> 00:14:37,640 Speaker 1: on doors. We have other volunteers. Their budget is every 292 00:14:37,680 --> 00:14:41,040 Speaker 1: single day they are spending hours doing this work, and 293 00:14:41,200 --> 00:14:43,720 Speaker 1: every weekend they are schlepping to a swing district for 294 00:14:43,760 --> 00:14:46,360 Speaker 1: an hour and a half. It's just different, whether it's time, 295 00:14:46,360 --> 00:14:49,560 Speaker 1: whether it's money, where it's a combination era. Whatever is 296 00:14:49,600 --> 00:14:52,240 Speaker 1: meaningful to someone is what. We're here to help people 297 00:14:52,280 --> 00:14:54,600 Speaker 1: direct towards action, including you. 298 00:14:54,920 --> 00:14:55,520 Speaker 3: Well, I love that. 299 00:14:55,560 --> 00:14:58,000 Speaker 2: I mean I think that that is why this felt 300 00:14:58,040 --> 00:15:00,120 Speaker 2: like a fit to me because I've never felt well 301 00:15:00,520 --> 00:15:03,960 Speaker 2: more like your client, right, like like your volunteer that 302 00:15:04,040 --> 00:15:07,440 Speaker 2: like I can say, you know, maybe this week I 303 00:15:07,520 --> 00:15:10,360 Speaker 2: have a finite amount of time, maybe this today I 304 00:15:10,480 --> 00:15:12,320 Speaker 2: have you know, I feel like I have no time, 305 00:15:12,440 --> 00:15:14,920 Speaker 2: and so I'm going to try to direct dollars, like 306 00:15:14,960 --> 00:15:17,080 Speaker 2: try to direct donations, and you know, you guys can 307 00:15:17,080 --> 00:15:19,160 Speaker 2: tell me what the most effective way to do that is. 308 00:15:19,680 --> 00:15:23,240 Speaker 2: Can you also help people understand does this stuff matter? 309 00:15:23,560 --> 00:15:24,760 Speaker 3: Like does it do anything? 310 00:15:25,400 --> 00:15:26,840 Speaker 2: But then they ask us to donate, when they ask 311 00:15:26,880 --> 00:15:29,400 Speaker 2: us to write cards like swing on you know, knock 312 00:15:29,440 --> 00:15:31,640 Speaker 2: on doors, like do I have to go to a 313 00:15:31,680 --> 00:15:32,440 Speaker 2: swing district? 314 00:15:32,480 --> 00:15:33,520 Speaker 3: Like does this stuff matter. 315 00:15:34,400 --> 00:15:38,160 Speaker 1: Yeah, so time and money they are such they're the 316 00:15:38,240 --> 00:15:40,880 Speaker 1: most precious things that we all have. For some of us, 317 00:15:40,920 --> 00:15:43,920 Speaker 1: time is we have almost none of it. So if 318 00:15:43,960 --> 00:15:46,720 Speaker 1: we tell people to do something and it's a waste 319 00:15:46,720 --> 00:15:50,000 Speaker 1: of their time, that to me is a real it's 320 00:15:50,040 --> 00:15:51,360 Speaker 1: a sign of disrespect. Right. 321 00:15:51,440 --> 00:15:52,680 Speaker 3: So, like we have to. 322 00:15:52,760 --> 00:15:56,080 Speaker 1: Make sure that people's time and their dollars are going 323 00:15:56,120 --> 00:15:57,920 Speaker 1: to where they're going to make an impact. And so 324 00:15:58,000 --> 00:16:02,440 Speaker 1: we have a strong commitment to following the research about 325 00:16:02,440 --> 00:16:04,720 Speaker 1: where things are going to move to the needle and 326 00:16:04,840 --> 00:16:07,600 Speaker 1: also helping to make the process as easy as possible. 327 00:16:07,680 --> 00:16:10,440 Speaker 1: Of if someone's like I'm getting a bunch of text messages, 328 00:16:10,480 --> 00:16:12,360 Speaker 1: I'm getting a bunch of emails, I'm now in a 329 00:16:12,400 --> 00:16:14,640 Speaker 1: gazillion WhatsApp group and zoom calls. 330 00:16:14,960 --> 00:16:16,000 Speaker 3: I'm overloaded. 331 00:16:16,240 --> 00:16:18,520 Speaker 1: I just want to know I've got an hour, or 332 00:16:18,560 --> 00:16:20,640 Speaker 1: I've got a week at or I've got twenty five 333 00:16:20,720 --> 00:16:23,880 Speaker 1: bucks or orders of magnitude more in any of those categories. 334 00:16:24,400 --> 00:16:27,520 Speaker 1: What do I do to win elections? We want to 335 00:16:27,520 --> 00:16:30,240 Speaker 1: make that as easy as possible, and so the tech 336 00:16:30,360 --> 00:16:33,160 Speaker 1: that we use, that we engage in are the things 337 00:16:33,160 --> 00:16:35,920 Speaker 1: that continue to work. So that's knocking on doors, making 338 00:16:35,960 --> 00:16:38,560 Speaker 1: phone calls, particularly at this late moment in the cycle. 339 00:16:38,600 --> 00:16:40,880 Speaker 1: We did much less phone baking earlier on in the 340 00:16:40,920 --> 00:16:44,240 Speaker 1: cycle because it's less effective earlier. And then writing letters 341 00:16:44,240 --> 00:16:48,960 Speaker 1: to voters. And in that third category we actually run scientific, 342 00:16:49,200 --> 00:16:52,600 Speaker 1: randomized control trials to test not just the efficacy of 343 00:16:52,680 --> 00:16:56,560 Speaker 1: the concept of letter writing, but the specific letters that 344 00:16:56,600 --> 00:16:59,040 Speaker 1: people are writing. Are they moving the needle or not? 345 00:16:59,560 --> 00:17:01,600 Speaker 1: And each of those three tactics. We used to have 346 00:17:01,600 --> 00:17:04,960 Speaker 1: a fourth tactic of texting voters, and we've moved that 347 00:17:05,080 --> 00:17:08,159 Speaker 1: off of our list because it's just not as impactful 348 00:17:08,160 --> 00:17:09,760 Speaker 1: as it used to be. Because I think we can 349 00:17:09,800 --> 00:17:12,680 Speaker 1: all appreciate given how many texts we now get from 350 00:17:12,760 --> 00:17:16,679 Speaker 1: random organizations that we just sort of unsubscribe to. But 351 00:17:16,760 --> 00:17:20,439 Speaker 1: we measure the impact both so that someone knows I 352 00:17:20,480 --> 00:17:22,479 Speaker 1: spent a bunch of hours that I didn't even think 353 00:17:22,560 --> 00:17:23,920 Speaker 1: I had doing this thing. 354 00:17:24,240 --> 00:17:25,200 Speaker 3: Did it move the needle? 355 00:17:25,400 --> 00:17:29,080 Speaker 1: We can share with rigor the answer to that question 356 00:17:29,280 --> 00:17:32,760 Speaker 1: of you know, this was a letter campaign that moved 357 00:17:32,760 --> 00:17:35,760 Speaker 1: the needle by this number of percentage points, and that's 358 00:17:35,800 --> 00:17:37,800 Speaker 1: what that meant in terms of the number of votes 359 00:17:37,840 --> 00:17:41,960 Speaker 1: in this district. And for canvassing and phone banking while 360 00:17:41,960 --> 00:17:44,840 Speaker 1: we don't run those ourselves to our campaigns that we support, 361 00:17:44,920 --> 00:17:49,360 Speaker 1: do we do rigorously look at all the research about 362 00:17:49,440 --> 00:17:52,360 Speaker 1: the best practices of canvassing. So if someone is taking 363 00:17:52,400 --> 00:17:54,639 Speaker 1: a leap of faith and saying I've never done this before, 364 00:17:54,760 --> 00:17:56,600 Speaker 1: I'm kind of nervous. I'm not really sure that this 365 00:17:56,680 --> 00:17:59,560 Speaker 1: even works. Also, I'm not a policy expert. I'm someone 366 00:17:59,600 --> 00:18:03,080 Speaker 1: who occasionally reads the news. But like I'm not an economist. 367 00:18:03,080 --> 00:18:05,680 Speaker 1: I can't talk about what's Kamala's position on every issue 368 00:18:05,680 --> 00:18:09,360 Speaker 1: of the economy that they understand based on the research, 369 00:18:09,480 --> 00:18:12,320 Speaker 1: not on our gut feelings, but based on the research. 370 00:18:12,720 --> 00:18:15,000 Speaker 1: What is going to work in a conversation with a 371 00:18:15,040 --> 00:18:17,119 Speaker 1: voter at their door or on the phone. And the 372 00:18:17,160 --> 00:18:21,240 Speaker 1: short answer is actually the people who are not policy 373 00:18:21,240 --> 00:18:24,400 Speaker 1: experts are much better equipped to have those conversations because 374 00:18:24,800 --> 00:18:29,040 Speaker 1: the things that really work are listening, authentically, telling a story, 375 00:18:29,480 --> 00:18:31,280 Speaker 1: and just taking the time to have a face to 376 00:18:31,280 --> 00:18:34,159 Speaker 1: face conversation with someone is much more important than like 377 00:18:34,600 --> 00:18:38,520 Speaker 1: nailing the perfect talking point on you know whatever, ech 378 00:18:38,600 --> 00:18:39,240 Speaker 1: on inflation. 379 00:18:39,480 --> 00:18:42,000 Speaker 3: Right, So happy to talk more. 380 00:18:41,880 --> 00:18:44,760 Speaker 1: About any of those, but I do think something that 381 00:18:45,320 --> 00:18:48,240 Speaker 1: is on my mind a lot is even the people 382 00:18:48,280 --> 00:18:50,720 Speaker 1: who are the most informed often feel like they don't 383 00:18:50,720 --> 00:18:53,960 Speaker 1: have the agency to move the needle because of how 384 00:18:54,040 --> 00:18:57,080 Speaker 1: much noise there is all around them. That it doesn't 385 00:18:57,160 --> 00:18:59,720 Speaker 1: feel like when people say this election is going to 386 00:18:59,720 --> 00:19:02,600 Speaker 1: come down to the margins that they had the imagination of, 387 00:19:02,720 --> 00:19:05,840 Speaker 1: Oh the margins actually meet me and my friends could 388 00:19:05,880 --> 00:19:08,720 Speaker 1: be the difference. Even if I live in a bright 389 00:19:08,800 --> 00:19:10,640 Speaker 1: blue part of the country like a New York City 390 00:19:10,720 --> 00:19:13,679 Speaker 1: or a Los Angeles or a San Francisco, they're still 391 00:19:13,760 --> 00:19:16,119 Speaker 1: ninety minutes away from a swing district and just a 392 00:19:16,200 --> 00:19:19,320 Speaker 1: click away from making contributions that can be really meaningful 393 00:19:19,320 --> 00:19:20,040 Speaker 1: for candidates. 394 00:19:20,440 --> 00:19:22,560 Speaker 3: I think what people also don't realize. 395 00:19:22,600 --> 00:19:24,120 Speaker 2: They think, like, oh, my god, ur and I annoying 396 00:19:24,160 --> 00:19:25,920 Speaker 2: these voters, Like if I show up with their doors 397 00:19:25,960 --> 00:19:28,439 Speaker 2: and that feels so annoying and invasive, Like if I 398 00:19:28,520 --> 00:19:30,879 Speaker 2: call them, doesn't that feel so annoying and invasive. I 399 00:19:30,920 --> 00:19:33,320 Speaker 2: think what people don't realize is that if you live 400 00:19:33,440 --> 00:19:36,280 Speaker 2: in one, especially in like a presidential swing state like 401 00:19:36,359 --> 00:19:39,720 Speaker 2: a Pennsylvania or a Michigan, is that the voters are 402 00:19:39,920 --> 00:19:42,840 Speaker 2: used to getting so many contacts that's right, even if 403 00:19:42,840 --> 00:19:44,760 Speaker 2: they hang up on you or like slam the door 404 00:19:44,760 --> 00:19:46,240 Speaker 2: in your face and as a volunteer, like. 405 00:19:46,240 --> 00:19:48,000 Speaker 3: Oh my god, this was the worst possible version. 406 00:19:48,119 --> 00:19:49,480 Speaker 2: Like and by the way, it won't be the worst 407 00:19:49,520 --> 00:19:52,000 Speaker 2: possible version, but you know, like they do happen, Like 408 00:19:52,040 --> 00:19:55,679 Speaker 2: even if it does happen, that voter is still clocking 409 00:19:56,000 --> 00:19:58,680 Speaker 2: which campaign showed up to try to reach them, even 410 00:19:58,680 --> 00:20:01,399 Speaker 2: if they act like they're annoyed. So you know, like 411 00:20:01,480 --> 00:20:03,560 Speaker 2: if the Trump campaign calls them five times and they 412 00:20:03,640 --> 00:20:06,080 Speaker 2: hung up, and the Kamala campaign calls them one time 413 00:20:06,119 --> 00:20:07,919 Speaker 2: and they hung up, when it gets to election day, 414 00:20:07,920 --> 00:20:10,480 Speaker 2: they're going to think to themselves, well, who cared about 415 00:20:10,480 --> 00:20:10,800 Speaker 2: me more? 416 00:20:10,920 --> 00:20:11,000 Speaker 1: Like? 417 00:20:11,040 --> 00:20:13,199 Speaker 2: Who called me more times? Like every one of the 418 00:20:13,240 --> 00:20:15,280 Speaker 2: contacts is actually valuable. 419 00:20:15,320 --> 00:20:19,240 Speaker 1: That's right hand, It's also really valuable when the contact 420 00:20:19,359 --> 00:20:21,880 Speaker 1: is not on our side, so that nobody wastes more 421 00:20:21,880 --> 00:20:24,120 Speaker 1: time with that person. And I think that's something else 422 00:20:24,160 --> 00:20:28,560 Speaker 1: that sometimes a first time canvasser will go out and say, well, 423 00:20:28,720 --> 00:20:31,280 Speaker 1: you know, I only talk to a handful of people, 424 00:20:31,440 --> 00:20:32,879 Speaker 1: and all the people I talk to are not on 425 00:20:32,880 --> 00:20:35,080 Speaker 1: our side. I must have done something wrong or I 426 00:20:35,160 --> 00:20:37,720 Speaker 1: must have wasted my time, right And what they don't 427 00:20:37,760 --> 00:20:40,440 Speaker 1: fully appreciate and we try to talk them through is 428 00:20:41,000 --> 00:20:43,919 Speaker 1: each of those people who said absolutely not, would I 429 00:20:44,000 --> 00:20:47,680 Speaker 1: ever support Kamala Harris, they are now moving off of 430 00:20:48,080 --> 00:20:51,840 Speaker 1: the campaign's list. And what's happening in the background, and 431 00:20:51,840 --> 00:20:54,760 Speaker 1: this is particularly important in this cycle, but of course 432 00:20:54,880 --> 00:20:58,080 Speaker 1: matters at every level of the ballid every cycle, is 433 00:20:58,119 --> 00:21:01,280 Speaker 1: that the campaign is constantly refined their data, right, And 434 00:21:01,359 --> 00:21:03,760 Speaker 1: so you and I talk a lot about suburban women 435 00:21:03,880 --> 00:21:07,119 Speaker 1: voters and suburban women voters are going to be decisive 436 00:21:07,160 --> 00:21:10,240 Speaker 1: in this election, just as they have been in past elections, 437 00:21:10,320 --> 00:21:13,439 Speaker 1: both at the presidential level but also down ballot. But 438 00:21:14,040 --> 00:21:17,800 Speaker 1: if someone who in the campaign's targeting should be a 439 00:21:17,880 --> 00:21:21,320 Speaker 1: Kamala supporter should be leaning Kamala, and someone goes to 440 00:21:21,400 --> 00:21:24,760 Speaker 1: knocks on their door and they say, absolutely not. My 441 00:21:24,840 --> 00:21:27,760 Speaker 1: top issue is immigration. That's why I love Donald Trump. 442 00:21:27,800 --> 00:21:30,879 Speaker 1: I want to deport everybody. Then the campaign adds that 443 00:21:30,920 --> 00:21:34,480 Speaker 1: to their targeting both for that individual voter, and if 444 00:21:34,560 --> 00:21:37,960 Speaker 1: every single person of that exact demographic in that district 445 00:21:38,040 --> 00:21:41,520 Speaker 1: reacted the same way during that canvas, all across that 446 00:21:41,560 --> 00:21:44,600 Speaker 1: state or all across that district, then that will impact 447 00:21:44,800 --> 00:21:48,919 Speaker 1: how the campaign decides to target different suburban women in 448 00:21:48,960 --> 00:21:51,879 Speaker 1: that area. And so I think that's really important because again, 449 00:21:52,240 --> 00:21:54,520 Speaker 1: and I think this is sometimes by design in the 450 00:21:54,560 --> 00:21:58,040 Speaker 1: way that media talks to people, is everything feels so 451 00:21:58,160 --> 00:22:02,160 Speaker 1: many notches above what an ordinary person who doesn't work 452 00:22:02,160 --> 00:22:05,880 Speaker 1: in politics could possibly make a difference on. And even 453 00:22:05,920 --> 00:22:08,960 Speaker 1: those polls and even those you know, numbers that are 454 00:22:09,040 --> 00:22:12,159 Speaker 1: run by really smart experts who have levels of knowledge 455 00:22:12,160 --> 00:22:15,720 Speaker 1: that I could never pretend to have about targeting, are 456 00:22:15,760 --> 00:22:19,399 Speaker 1: relying on the work on the ground by volunteers to 457 00:22:19,520 --> 00:22:23,160 Speaker 1: help inform what they're doing. Because there's only fifty days 458 00:22:23,240 --> 00:22:25,520 Speaker 1: left today. By the time people listen to this podcast, 459 00:22:25,520 --> 00:22:27,560 Speaker 1: it's going to be even less than fifty days before 460 00:22:27,560 --> 00:22:31,040 Speaker 1: the election, and so there's just not the time for 461 00:22:31,119 --> 00:22:34,240 Speaker 1: a polster in DC, or even a polster in Philadelphia 462 00:22:34,359 --> 00:22:39,080 Speaker 1: or in Detroit to really exactly understand every single voter 463 00:22:39,320 --> 00:22:41,680 Speaker 1: without that on the ground support volunteers. 464 00:22:42,240 --> 00:22:45,880 Speaker 2: And by the way, this on the ground testing, like 465 00:22:46,080 --> 00:22:48,680 Speaker 2: through conversations and being able to say like, this kind 466 00:22:48,720 --> 00:22:51,800 Speaker 2: of person is gettable, this type of person is definitely 467 00:22:51,840 --> 00:22:55,800 Speaker 2: not is super live like it's a total live issue, 468 00:22:55,800 --> 00:22:58,960 Speaker 2: like particularly in this election, even in the last week, 469 00:22:59,000 --> 00:23:00,920 Speaker 2: we've seen this that you usually at this point in 470 00:23:00,960 --> 00:23:03,679 Speaker 2: a campaign, the campaign will have a better idea of 471 00:23:03,680 --> 00:23:06,640 Speaker 2: who their supporter is, and so like they're narrowing down 472 00:23:06,640 --> 00:23:08,000 Speaker 2: their list so that by the time you get to election, 473 00:23:08,040 --> 00:23:10,240 Speaker 2: deg're like only talking to your hardcore supporters. And we're 474 00:23:10,280 --> 00:23:12,280 Speaker 2: like we'd be like kind of close to that right now, 475 00:23:12,359 --> 00:23:15,280 Speaker 2: Like we'd be like I'm talking to like medium supporters 476 00:23:15,359 --> 00:23:18,359 Speaker 2: to hardcore supporters to turn them out. But because of 477 00:23:18,400 --> 00:23:20,600 Speaker 2: the crazy dynamic to the cycle, I think, especially the 478 00:23:20,680 --> 00:23:24,520 Speaker 2: last debate and now all these really high profile Republicans 479 00:23:24,560 --> 00:23:26,680 Speaker 2: like coming out, it's sort of like unlocking this permission 480 00:23:26,720 --> 00:23:29,160 Speaker 2: structure for Republicans to unlock her, Like. 481 00:23:29,280 --> 00:23:31,800 Speaker 3: You got I touch them all. That's exactly right. 482 00:23:32,040 --> 00:23:35,760 Speaker 2: Like you actually have to ask every single person who 483 00:23:35,840 --> 00:23:38,840 Speaker 2: is either already registered or could be registered, because we 484 00:23:38,960 --> 00:23:42,399 Speaker 2: really don't know who's willing to say Donald Trump is 485 00:23:42,440 --> 00:23:43,919 Speaker 2: way too big of a threat. I'm willing to go 486 00:23:43,960 --> 00:23:45,840 Speaker 2: in the other direction, even if I don't support her 487 00:23:45,880 --> 00:23:48,400 Speaker 2: on every single issue, Like and you just need tons 488 00:23:48,440 --> 00:23:50,159 Speaker 2: and tons of people to be making those contacts and 489 00:23:50,160 --> 00:23:51,800 Speaker 2: like get that information back to the campaign. 490 00:23:52,560 --> 00:23:55,680 Speaker 1: That's exactly right. And I think it's also really important 491 00:23:55,720 --> 00:23:59,280 Speaker 1: that those people and you implied this, but I want 492 00:23:59,280 --> 00:24:01,840 Speaker 1: to make sure it's like absolutely clear to every single person. 493 00:24:02,400 --> 00:24:06,160 Speaker 1: Those people are really geographically close to every single one 494 00:24:06,160 --> 00:24:08,639 Speaker 1: of your listeners. And I think that that's the other piece. 495 00:24:09,200 --> 00:24:14,800 Speaker 1: I've been continuously surprised by how little sort of like 496 00:24:15,000 --> 00:24:18,440 Speaker 1: logical connection is made by our media. Of Like, if 497 00:24:18,440 --> 00:24:21,360 Speaker 1: you were in Los Angeles, you're literally an hour and 498 00:24:21,400 --> 00:24:24,760 Speaker 1: thirty minutes away from a district that if we do 499 00:24:24,840 --> 00:24:26,920 Speaker 1: not win that district, we will not win the House. 500 00:24:27,400 --> 00:24:30,680 Speaker 1: Same with San Francisco, same with New York, same with Boston, 501 00:24:31,000 --> 00:24:34,920 Speaker 1: same with Chicago. And that's on the house side. It's 502 00:24:35,040 --> 00:24:38,639 Speaker 1: also true on the presidential side. Right if you're in 503 00:24:38,680 --> 00:24:41,359 Speaker 1: Los Angeles, you're a sure drive away from Las Vegas. 504 00:24:41,400 --> 00:24:44,360 Speaker 1: You can't go to every Las Vegas every Wednesday night. 505 00:24:44,800 --> 00:24:47,399 Speaker 1: But in the final stretch, at the moment where getting 506 00:24:47,400 --> 00:24:50,640 Speaker 1: those voters to our side is so essential, you can 507 00:24:50,680 --> 00:24:53,879 Speaker 1: bet that driving for spending a weekend there and knocking 508 00:24:53,880 --> 00:24:55,760 Speaker 1: on doors all day can make a difference. And the 509 00:24:55,800 --> 00:24:59,800 Speaker 1: same with San Francisco, over to Nevada, New York to Pennsylvania, 510 00:24:59,800 --> 00:25:01,040 Speaker 1: where I know you and I are going to be 511 00:25:01,080 --> 00:25:02,800 Speaker 1: spending a bunch of time in this cycle. And the 512 00:25:02,800 --> 00:25:05,360 Speaker 1: list goes on Chicago to Milwaukee and so I say 513 00:25:05,400 --> 00:25:08,159 Speaker 1: that because I do think that what I hear a 514 00:25:08,160 --> 00:25:12,000 Speaker 1: lot from folks, especially busy moms who just don't have time, 515 00:25:12,480 --> 00:25:15,719 Speaker 1: is oh my gosh, I already feel nervous about like 516 00:25:16,320 --> 00:25:18,719 Speaker 1: what it's going to be like watching Steve Cornaky go 517 00:25:18,840 --> 00:25:22,080 Speaker 1: through the election results in Bucks County or the election 518 00:25:22,240 --> 00:25:25,240 Speaker 1: results in Maricopa County or whatever the case may be, 519 00:25:25,440 --> 00:25:28,000 Speaker 1: is and what could I possibly do to. 520 00:25:28,000 --> 00:25:29,520 Speaker 3: Make that night not a nightmare? 521 00:25:29,840 --> 00:25:33,880 Speaker 1: And just showing them a Google Maps of like this 522 00:25:33,920 --> 00:25:36,080 Speaker 1: is how close you are. And again, you don't have 523 00:25:36,119 --> 00:25:39,280 Speaker 1: to do it all, but like, think about what resources 524 00:25:39,320 --> 00:25:42,439 Speaker 1: you have. For some people, that's money, right They a 525 00:25:42,440 --> 00:25:44,920 Speaker 1: lot of my friends who work at a Google or 526 00:25:45,280 --> 00:25:48,920 Speaker 1: at our lawyers or whatever like them. Writing a check 527 00:25:49,240 --> 00:25:51,520 Speaker 1: that has a couple zeros on it is not a 528 00:25:51,520 --> 00:25:55,240 Speaker 1: big deal, But for a candidate, it's a really big deal. 529 00:25:55,359 --> 00:25:57,360 Speaker 1: Like I was just talking to one of our candidate 530 00:25:57,440 --> 00:26:00,480 Speaker 1: that we've raised about three hundred thousand dollars in small 531 00:26:00,560 --> 00:26:03,680 Speaker 1: dollar donations, who happens to be a soccer mom like you, 532 00:26:03,800 --> 00:26:05,840 Speaker 1: but out in Oregon on the other side of the country, 533 00:26:06,200 --> 00:26:08,280 Speaker 1: and every morning she talks to it. She lives in Oregon, 534 00:26:08,400 --> 00:26:10,640 Speaker 1: her mom is in DC. So they have a call 535 00:26:10,680 --> 00:26:13,240 Speaker 1: every morning at five thirty am, which is also bananas 536 00:26:13,280 --> 00:26:15,359 Speaker 1: and a reminder that moms do the most at all 537 00:26:15,440 --> 00:26:18,000 Speaker 1: hours of the day. And she says she looks at 538 00:26:18,000 --> 00:26:20,680 Speaker 1: her fundraising numbers at five fifteen am. That's when they 539 00:26:20,720 --> 00:26:23,960 Speaker 1: like activate in her dashboard to see how much money 540 00:26:23,960 --> 00:26:26,960 Speaker 1: she's raised, and she sees all these small dollar donations 541 00:26:26,960 --> 00:26:29,800 Speaker 1: come in from Swing Left donors every morning at five 542 00:26:29,840 --> 00:26:32,199 Speaker 1: fifteen am. And every morning she starts her call with 543 00:26:32,240 --> 00:26:34,800 Speaker 1: her mom being like, I don't even know who these 544 00:26:34,840 --> 00:26:37,520 Speaker 1: people are. I did not call them, I did not 545 00:26:37,640 --> 00:26:40,680 Speaker 1: email them. And they are committed to helping make sure 546 00:26:40,720 --> 00:26:42,920 Speaker 1: that we win the house and committed to my race 547 00:26:43,000 --> 00:26:45,480 Speaker 1: and believe in my ability to do so. And that 548 00:26:45,560 --> 00:26:48,320 Speaker 1: gives her the boost that she needs to then go 549 00:26:48,359 --> 00:26:51,040 Speaker 1: and work her tail off for the whole day, like 550 00:26:51,119 --> 00:26:53,040 Speaker 1: running for Congress is something I do not envy. 551 00:26:53,080 --> 00:26:53,879 Speaker 3: It's so hard. 552 00:26:54,320 --> 00:26:56,680 Speaker 1: Starting at five fifteen every morning, she has that little 553 00:26:56,680 --> 00:27:00,320 Speaker 1: boost of she can then make sure that she is, 554 00:27:00,480 --> 00:27:03,199 Speaker 1: you know, doing some really good youth outreach in her district, 555 00:27:03,320 --> 00:27:05,200 Speaker 1: or she's traveling to a rural part of her district, 556 00:27:05,280 --> 00:27:08,119 Speaker 1: or she's doing all these things, and that feels so 557 00:27:08,280 --> 00:27:10,919 Speaker 1: many steps away from someone just like clicking to an 558 00:27:11,000 --> 00:27:14,760 Speaker 1: online contribution, and so again, I think that's where that's 559 00:27:14,760 --> 00:27:16,600 Speaker 1: why I'm so excited to be working together with you. 560 00:27:17,240 --> 00:27:19,800 Speaker 1: How do we make sure that that connection is clear 561 00:27:19,920 --> 00:27:22,320 Speaker 1: both on the geographic closeness all of us have to 562 00:27:22,400 --> 00:27:26,240 Speaker 1: swing districts, but also the proximity. The impact of a 563 00:27:26,280 --> 00:27:28,879 Speaker 1: small donation of time or money can actually make a 564 00:27:29,119 --> 00:27:32,440 Speaker 1: huge difference for a candidate and for a district that's 565 00:27:32,480 --> 00:27:35,199 Speaker 1: going to come down to In some cases, literally a 566 00:27:35,200 --> 00:27:37,800 Speaker 1: couple hundred votes was the difference in a few of 567 00:27:37,840 --> 00:27:39,080 Speaker 1: these competitive races. 568 00:27:48,480 --> 00:27:52,720 Speaker 2: Now back to the show. I was talking to a mom, 569 00:27:52,760 --> 00:27:54,320 Speaker 2: so I live. I live in a swing district. I 570 00:27:54,359 --> 00:27:56,520 Speaker 2: live in a Republican district. And I was talking to 571 00:27:56,560 --> 00:27:59,040 Speaker 2: a mom the other day who told me that what 572 00:27:59,160 --> 00:28:00,920 Speaker 2: she does is she picks her kids up from school, 573 00:28:01,320 --> 00:28:04,679 Speaker 2: goes to the playground, and writes letters to voters that 574 00:28:04,720 --> 00:28:07,199 Speaker 2: she gets from you guys from vote forward. And it's 575 00:28:07,280 --> 00:28:08,639 Speaker 2: like the perfect that you know, like you could be 576 00:28:08,680 --> 00:28:12,359 Speaker 2: sitting on the bench chit chatting about the same soccer 577 00:28:12,400 --> 00:28:15,080 Speaker 2: game that you guys are going to later, or you know, 578 00:28:15,160 --> 00:28:16,879 Speaker 2: like she sits side by sides with other moms and 579 00:28:16,920 --> 00:28:19,440 Speaker 2: they just sit there for you know, twenty thirty minutes 580 00:28:19,480 --> 00:28:21,679 Speaker 2: and they or ten minutes and like knocks out a 581 00:28:21,680 --> 00:28:23,760 Speaker 2: couple of letters and she feels and she actually gets 582 00:28:24,040 --> 00:28:24,879 Speaker 2: a ton done. 583 00:28:25,080 --> 00:28:25,800 Speaker 3: That's amazing. 584 00:28:25,960 --> 00:28:28,760 Speaker 2: It's like such an accessible way to be thinking about it. 585 00:28:28,760 --> 00:28:31,240 Speaker 2: It's interesting you said the text banking you guys dropped 586 00:28:31,240 --> 00:28:33,359 Speaker 2: it off. It doesn't work anymore. That totally makes sense. 587 00:28:33,440 --> 00:28:35,320 Speaker 2: But I do feel like it makes sense if you're 588 00:28:35,359 --> 00:28:36,640 Speaker 2: texting a friend. 589 00:28:36,800 --> 00:28:39,880 Speaker 1: Totally that it's Yes, that's a really important distinction. 590 00:28:40,120 --> 00:28:43,120 Speaker 2: Yes, Like I feel like that still works because even 591 00:28:43,480 --> 00:28:46,200 Speaker 2: people even if they think they want to vote or 592 00:28:46,240 --> 00:28:49,000 Speaker 2: they think they're going to vote the state, the rules 593 00:28:49,000 --> 00:28:51,160 Speaker 2: in the states are terrible, Like they're always like dropping 594 00:28:51,200 --> 00:28:53,480 Speaker 2: you off the voter rolls, change your name, you move, 595 00:28:53,680 --> 00:28:55,720 Speaker 2: they drop you off the voter rolls. Anyway, even if 596 00:28:55,760 --> 00:28:57,800 Speaker 2: you didn't do anything wrong, like you just have to 597 00:28:57,880 --> 00:28:59,880 Speaker 2: check you have to check your voter registration. So getting 598 00:28:59,880 --> 00:29:03,000 Speaker 2: that reminder from a friend, Yes, it's so different than 599 00:29:03,000 --> 00:29:04,200 Speaker 2: like a spammy text. 600 00:29:05,000 --> 00:29:06,200 Speaker 3: It's so different. 601 00:29:06,480 --> 00:29:08,880 Speaker 1: Yeah, I mean I think that and this is this 602 00:29:09,000 --> 00:29:12,360 Speaker 1: is not just a smart opinion that you have in 603 00:29:12,400 --> 00:29:15,560 Speaker 1: isolation from the data. Like the data really strongly backs 604 00:29:15,640 --> 00:29:19,000 Speaker 1: up exactly what your sort of experience and instincts are. 605 00:29:19,560 --> 00:29:21,920 Speaker 1: And I think that's important for people because I remember 606 00:29:22,080 --> 00:29:25,840 Speaker 1: back in twenty eighteen, I remember talking to a volunteer 607 00:29:25,880 --> 00:29:28,560 Speaker 1: who continues to be active with Swing Left, and she 608 00:29:28,720 --> 00:29:31,760 Speaker 1: was in Annie Kim's district in New Jersey and she'd 609 00:29:31,800 --> 00:29:35,600 Speaker 1: never participated in politics before. And she was like, you know, 610 00:29:35,680 --> 00:29:36,840 Speaker 1: I've never really done anything. 611 00:29:36,880 --> 00:29:38,160 Speaker 3: I didn't think I had it in me. 612 00:29:38,320 --> 00:29:40,959 Speaker 1: I'm not, you know, a political pundit type. I'm not 613 00:29:41,000 --> 00:29:44,280 Speaker 1: a fun insider. But my friends really trust me because 614 00:29:44,320 --> 00:29:46,560 Speaker 1: I know And this is she's like, I know all 615 00:29:46,560 --> 00:29:48,680 Speaker 1: the best sales in the area, So I'm always texting 616 00:29:48,760 --> 00:29:51,200 Speaker 1: my friends being like, make a run for it. There's 617 00:29:51,200 --> 00:29:54,040 Speaker 1: a great sale here. Oh my goodness, Like you know, 618 00:29:54,160 --> 00:29:57,800 Speaker 1: whatever she's got, Like her friends really listen to what 619 00:29:57,880 --> 00:30:00,800 Speaker 1: she's saying because she's always in the know. She's great hosts, 620 00:30:00,800 --> 00:30:03,360 Speaker 1: she has great events at her house and in the 621 00:30:03,400 --> 00:30:06,800 Speaker 1: suburbs of New Jersey. These women, she's never really spent 622 00:30:06,880 --> 00:30:09,560 Speaker 1: time talking to you about politics. She was like, I'm 623 00:30:09,640 --> 00:30:12,200 Speaker 1: sick of just sort of like sitting on the sidelines. 624 00:30:12,280 --> 00:30:15,360 Speaker 1: She got involved. She decided to do a little event 625 00:30:15,600 --> 00:30:18,360 Speaker 1: for Andy Kim didn't think she could do much for it. 626 00:30:18,440 --> 00:30:21,800 Speaker 1: She invited him sort of nominally and then separately, as 627 00:30:21,960 --> 00:30:23,560 Speaker 1: you and I both have a relationship with Andy Kim, 628 00:30:23,600 --> 00:30:25,640 Speaker 1: I remember I had heard a story from him about 629 00:30:25,680 --> 00:30:28,160 Speaker 1: one of the highlights of his campaign was when he 630 00:30:28,200 --> 00:30:31,000 Speaker 1: got invited by a woman in his district that said 631 00:30:31,040 --> 00:30:33,160 Speaker 1: she was getting a few friends together and he really 632 00:30:33,440 --> 00:30:36,120 Speaker 1: appreciated her and liked her and wanted to support her. 633 00:30:36,200 --> 00:30:38,240 Speaker 1: So he went, not thinking it was going to be 634 00:30:38,240 --> 00:30:40,200 Speaker 1: anything really big, and he couldn't find a parking space 635 00:30:40,240 --> 00:30:42,560 Speaker 1: and he's like, gosh, I guess it's close to the holidays. 636 00:30:42,560 --> 00:30:45,920 Speaker 1: There must be some like holiday event or something. He 637 00:30:45,960 --> 00:30:48,800 Speaker 1: had to park really far away, and he schlept, you know, 638 00:30:49,000 --> 00:30:51,520 Speaker 1: several blocks to go to this brewery for this event. 639 00:30:52,040 --> 00:30:55,120 Speaker 1: And he walks into a room of several hundred people 640 00:30:55,600 --> 00:30:59,600 Speaker 1: for this little tiny event that this woman Dammy was 641 00:30:59,640 --> 00:31:01,920 Speaker 1: trying to together for him, and he was like, it 642 00:31:01,960 --> 00:31:04,120 Speaker 1: was the biggest event that I'd had in my campaign, 643 00:31:04,480 --> 00:31:06,800 Speaker 1: And of course Tammy was like, it's just going to 644 00:31:06,840 --> 00:31:09,000 Speaker 1: be a couple of friends. And I'm saying all that 645 00:31:09,040 --> 00:31:11,479 Speaker 1: because I also think that there is a you know 646 00:31:11,800 --> 00:31:13,760 Speaker 1: my husband I talk about his mom a lot. She 647 00:31:13,800 --> 00:31:17,720 Speaker 1: was PTA president and is very self effacing about her leadership. 648 00:31:17,760 --> 00:31:20,600 Speaker 1: She's like, oh, I'm not I don't really know, you know, 649 00:31:20,840 --> 00:31:23,760 Speaker 1: I'm not really a leader. But she was PTA president. 650 00:31:23,880 --> 00:31:27,600 Speaker 1: She ran things at his school, she got huge things done. 651 00:31:27,640 --> 00:31:32,200 Speaker 1: She was interacting with both elected and unelected leaders. She 652 00:31:32,400 --> 00:31:35,680 Speaker 1: was moving people, she was getting people together at events, 653 00:31:36,040 --> 00:31:38,240 Speaker 1: she was getting people to take action. And that is 654 00:31:38,280 --> 00:31:41,440 Speaker 1: literally what politics is. It's not anything more specific, it's 655 00:31:41,480 --> 00:31:44,560 Speaker 1: not anything more sophisticated than that. And so I also 656 00:31:44,600 --> 00:31:47,680 Speaker 1: think just getting people who are already leaders, who are 657 00:31:47,720 --> 00:31:50,200 Speaker 1: already running things for their kids' schools, to then just 658 00:31:50,240 --> 00:31:53,200 Speaker 1: say I'm also going to do this and also now 659 00:31:53,280 --> 00:31:56,000 Speaker 1: text my friends who might not know who they're voting 660 00:31:56,000 --> 00:31:57,760 Speaker 1: for or who might not know how to take action, 661 00:31:58,320 --> 00:32:01,640 Speaker 1: that suddenly becomes not just like a nice thing to 662 00:32:01,680 --> 00:32:03,640 Speaker 1: do that makes you feel good, but something that can 663 00:32:03,680 --> 00:32:06,200 Speaker 1: actually really really move the needle in elections that. 664 00:32:06,160 --> 00:32:07,000 Speaker 3: Come down to margins. 665 00:32:07,760 --> 00:32:11,800 Speaker 2: So talk to me about posting yes, like, is it effective? 666 00:32:12,120 --> 00:32:14,600 Speaker 3: Is it not effective? How would you use it? 667 00:32:14,640 --> 00:32:17,600 Speaker 2: I think especially for people who don't consider themselves like 668 00:32:17,720 --> 00:32:18,520 Speaker 2: super political. 669 00:32:19,120 --> 00:32:21,520 Speaker 1: Yeah, So I think there's a lot of different ways 670 00:32:21,520 --> 00:32:26,280 Speaker 1: that people can post, and the effects range widely, So 671 00:32:26,480 --> 00:32:29,760 Speaker 1: just like the nerd answer is, there's a lot of 672 00:32:29,800 --> 00:32:32,920 Speaker 1: noise about the effects of digital campaigning in general. Right, 673 00:32:33,000 --> 00:32:36,680 Speaker 1: there's a bigger risk of like backlash, meaning you try 674 00:32:36,720 --> 00:32:39,200 Speaker 1: to do a thing and the opposite thing happens. There's 675 00:32:39,240 --> 00:32:41,520 Speaker 1: some really fruitful effects, and then there's a lot of 676 00:32:41,640 --> 00:32:44,280 Speaker 1: just like posts that don't do anything, So there's a 677 00:32:44,320 --> 00:32:48,480 Speaker 1: wide spectrum here. I think that the places where there's 678 00:32:48,880 --> 00:32:54,480 Speaker 1: consistently strong effects are exactly your text message version, but 679 00:32:54,680 --> 00:32:59,040 Speaker 1: in the political space of people who are talking to 680 00:32:59,360 --> 00:33:03,640 Speaker 1: their friends who are undecided or who need more information, 681 00:33:04,360 --> 00:33:07,240 Speaker 1: and that is both a great way to inform people. 682 00:33:07,520 --> 00:33:11,280 Speaker 1: It is also a great way to disinform and misinform people, 683 00:33:11,360 --> 00:33:13,560 Speaker 1: which I think any of us who is still on 684 00:33:13,600 --> 00:33:17,840 Speaker 1: Facebook is seeing just how much misinformation and disinformation is 685 00:33:17,920 --> 00:33:21,320 Speaker 1: fed to undecided people in our networks and makes them 686 00:33:21,360 --> 00:33:24,080 Speaker 1: have bizarre beliefs at the Thanksgiving table that we don't 687 00:33:24,120 --> 00:33:27,520 Speaker 1: know where they came from. But sharing information so that 688 00:33:27,600 --> 00:33:30,840 Speaker 1: people you know, whether it is a public post or 689 00:33:30,920 --> 00:33:33,360 Speaker 1: when someone posts something a little sideways and you know 690 00:33:33,440 --> 00:33:37,160 Speaker 1: that they know better, sending them a little message being like, actually, 691 00:33:37,240 --> 00:33:39,240 Speaker 1: here's the fact check on that. I've done a lot 692 00:33:39,240 --> 00:33:41,280 Speaker 1: of that with friends that I know are a little 693 00:33:41,280 --> 00:33:43,680 Speaker 1: swingy on their vote, to just make sure that they 694 00:33:43,680 --> 00:33:46,520 Speaker 1: have the information that's really really important. But it's important 695 00:33:46,520 --> 00:33:49,520 Speaker 1: from a trusted messenger, right, So that trusted messenger could 696 00:33:49,560 --> 00:33:52,720 Speaker 1: be someone that you are deeply in relationship with. It 697 00:33:52,760 --> 00:33:54,880 Speaker 1: could also be and you know much more about this 698 00:33:54,960 --> 00:33:57,240 Speaker 1: than I do, but from someone that you really trust 699 00:33:57,720 --> 00:34:01,240 Speaker 1: because of you know something that they something you follow 700 00:34:01,320 --> 00:34:04,880 Speaker 1: them for. So like you know, I follow the Peloton 701 00:34:05,080 --> 00:34:08,160 Speaker 1: instructors that I really trust to give me great exercise 702 00:34:08,280 --> 00:34:10,240 Speaker 1: advice and who I feel like I have a personal 703 00:34:10,239 --> 00:34:13,200 Speaker 1: relationship with. I've never met any of them, but you've 704 00:34:13,200 --> 00:34:16,760 Speaker 1: had Robin on your podcast. When they post about something 705 00:34:16,800 --> 00:34:19,800 Speaker 1: that is outside of exercise, I'm going to listen a 706 00:34:19,800 --> 00:34:21,839 Speaker 1: little more because I feel like I have a relationship 707 00:34:21,880 --> 00:34:24,520 Speaker 1: with them. Right. So obviously that's all intuitive. Your listeners 708 00:34:24,560 --> 00:34:27,040 Speaker 1: are online, they all know that. But I also just 709 00:34:27,120 --> 00:34:30,360 Speaker 1: think the caveat that I have to all this is 710 00:34:31,080 --> 00:34:33,399 Speaker 1: posts have to lead to some kind of action, right. 711 00:34:33,880 --> 00:34:36,640 Speaker 1: It has to motivate someone to say you know what, 712 00:34:37,040 --> 00:34:40,080 Speaker 1: All right, I've seen Emily post ten times about how 713 00:34:40,120 --> 00:34:42,360 Speaker 1: it can make a difference to write letters. I'm just 714 00:34:42,440 --> 00:34:45,400 Speaker 1: going to try writing one right or gosh, you know, 715 00:34:45,680 --> 00:34:48,719 Speaker 1: I've been hearing a lot of weird stuff about what 716 00:34:48,880 --> 00:34:52,600 Speaker 1: Kamala you know, or what Jadie Vance is saying about 717 00:34:52,800 --> 00:34:56,319 Speaker 1: weird stuff on immigrants, Like gosh, Emily's posting something that 718 00:34:56,360 --> 00:34:59,120 Speaker 1: feels like a lot more reasonable from pretty trusted sources. 719 00:34:59,200 --> 00:35:01,200 Speaker 1: So maybe I I need to actually do some fact 720 00:35:01,280 --> 00:35:04,719 Speaker 1: checking here, Like it's got to move to something offline. 721 00:35:04,760 --> 00:35:07,680 Speaker 1: I think our sort of mo at Swing Left is 722 00:35:07,760 --> 00:35:10,800 Speaker 1: we're very digital forward. We have an engineering and product 723 00:35:10,840 --> 00:35:13,600 Speaker 1: team that works every day to make sure our website 724 00:35:13,760 --> 00:35:15,200 Speaker 1: is simple and easy to use. 725 00:35:15,239 --> 00:35:16,839 Speaker 3: It gets people the information we need. 726 00:35:17,120 --> 00:35:20,400 Speaker 1: We post a ton online, But the metric that we 727 00:35:20,440 --> 00:35:23,360 Speaker 1: are constantly looking at is what is that all doing 728 00:35:23,520 --> 00:35:26,960 Speaker 1: to get people to take action? And as we've looked 729 00:35:26,960 --> 00:35:30,400 Speaker 1: at other organizations out in the space, influencers out in 730 00:35:30,400 --> 00:35:33,600 Speaker 1: the space, there are some that post a lot and 731 00:35:33,640 --> 00:35:36,120 Speaker 1: there's not a way to sort of track its impact 732 00:35:36,320 --> 00:35:39,080 Speaker 1: in the shorter and the long term towards actually doing anything. 733 00:35:39,480 --> 00:35:43,760 Speaker 1: But when we like Hillary Clinton posted about the importance 734 00:35:43,760 --> 00:35:47,560 Speaker 1: of taking action through Swing Left in twenty eighteen, not 735 00:35:47,640 --> 00:35:50,000 Speaker 1: only do We have some good, sort of big numbers 736 00:35:50,040 --> 00:35:52,839 Speaker 1: of what that meant in terms of volunteer sign ups, donations, 737 00:35:52,920 --> 00:35:56,360 Speaker 1: people signing up. But it also meant that one of 738 00:35:56,400 --> 00:35:59,080 Speaker 1: our then someone we didn't know but soon to be 739 00:35:59,239 --> 00:36:02,960 Speaker 1: college organized or is Madeleine signed up. She saw that tweet, 740 00:36:03,000 --> 00:36:04,759 Speaker 1: she didn't know what Swing Left was. Sign up for 741 00:36:04,800 --> 00:36:07,680 Speaker 1: our list, sign up to create a chapter at George 742 00:36:07,719 --> 00:36:11,719 Speaker 1: Washington University, ran that chapter, got hundreds of students to 743 00:36:11,719 --> 00:36:14,600 Speaker 1: go knock on doors every weekend in the twenty eighteen election, 744 00:36:15,160 --> 00:36:18,239 Speaker 1: then moved up to run our campus organizing program, and 745 00:36:18,280 --> 00:36:21,400 Speaker 1: then now is on the Harris campaign in North Carolina. 746 00:36:21,880 --> 00:36:25,400 Speaker 1: And there's similar examples of your friend Grace Lee, an 747 00:36:25,440 --> 00:36:28,479 Speaker 1: elected official in New York who found out about Swing 748 00:36:28,560 --> 00:36:31,279 Speaker 1: Left online, showed up to volunteer for an event in 749 00:36:31,280 --> 00:36:34,520 Speaker 1: New York City and that was her first tiny dipping 750 00:36:34,520 --> 00:36:37,640 Speaker 1: her toe into politics. And now she's an elected official 751 00:36:37,680 --> 00:36:39,840 Speaker 1: who I think the sky's the limit on the impact 752 00:36:39,920 --> 00:36:42,359 Speaker 1: she's going to have. So I'm saying all that of 753 00:36:42,480 --> 00:36:45,839 Speaker 1: like yes online can be really effective, it can also 754 00:36:45,880 --> 00:36:49,240 Speaker 1: be totally just a waste of time if it's not leading, 755 00:36:49,600 --> 00:36:52,200 Speaker 1: it's not with the intention of leading people to action, 756 00:36:52,800 --> 00:36:56,160 Speaker 1: and sometimes not in the immediate it's not like, oh 757 00:36:56,200 --> 00:36:58,799 Speaker 1: that post failed because someone didn't click the link and 758 00:36:58,840 --> 00:37:01,560 Speaker 1: sign up and donate in that moment. Is it planting 759 00:37:01,600 --> 00:37:05,200 Speaker 1: the seeds to get someone that much closer maybe a 760 00:37:05,280 --> 00:37:07,640 Speaker 1: month from now, when they're more tuned into the election, 761 00:37:07,840 --> 00:37:10,120 Speaker 1: to then be like, you know what, that celebrity I 762 00:37:10,120 --> 00:37:14,040 Speaker 1: really trust posted about canvassing. I've got some extra time 763 00:37:14,080 --> 00:37:15,920 Speaker 1: this weekend. Maybe I'm going to do that now. And 764 00:37:15,960 --> 00:37:19,040 Speaker 1: maybe we can't track the analytics of that perfectly, but 765 00:37:19,800 --> 00:37:21,719 Speaker 1: it was important to do and we need to do 766 00:37:21,760 --> 00:37:23,919 Speaker 1: more of it so that people feel like again there's 767 00:37:23,960 --> 00:37:25,920 Speaker 1: sort of less mental leaps that they need to make 768 00:37:26,000 --> 00:37:27,600 Speaker 1: as they decide how they want to take action. 769 00:37:28,239 --> 00:37:30,560 Speaker 2: Okay, so for everyone who's listening who now feels like 770 00:37:30,640 --> 00:37:32,839 Speaker 2: they need to take action, what should they do? 771 00:37:33,400 --> 00:37:36,279 Speaker 1: They should go to swing left dot org and they 772 00:37:36,280 --> 00:37:39,560 Speaker 1: will find it very two big buttons, one for donating, 773 00:37:39,680 --> 00:37:42,960 Speaker 1: one for volunteering, and based on what they have, what 774 00:37:43,080 --> 00:37:45,280 Speaker 1: resources they have, whether they have a lot of time 775 00:37:45,360 --> 00:37:47,680 Speaker 1: and a little money or the inverse or just a 776 00:37:47,719 --> 00:37:50,719 Speaker 1: little bit of each, they can plug in and everything 777 00:37:50,760 --> 00:37:52,680 Speaker 1: that we do are commitventive folks, is that their time 778 00:37:52,680 --> 00:37:54,680 Speaker 1: and their money is going to be directed only to 779 00:37:54,800 --> 00:37:57,200 Speaker 1: the actions and the races that are going to be 780 00:37:57,239 --> 00:37:59,279 Speaker 1: the difference. And what we mean by the difference is 781 00:37:59,600 --> 00:38:02,400 Speaker 1: the different in winning the presidential election, which is going 782 00:38:02,440 --> 00:38:04,000 Speaker 1: to come down to a few It's going to come 783 00:38:04,040 --> 00:38:06,120 Speaker 1: down to a few ten like ten thousand votes in 784 00:38:06,160 --> 00:38:07,880 Speaker 1: probably two or three states. That's what it was in 785 00:38:07,920 --> 00:38:10,880 Speaker 1: twenty twenty, right, that's nothing. So how to make a 786 00:38:10,880 --> 00:38:13,120 Speaker 1: difference in the presidential how to make a difference in 787 00:38:13,120 --> 00:38:15,719 Speaker 1: the Senate that's going to determine, you know, what's the 788 00:38:15,719 --> 00:38:17,960 Speaker 1: future of our Supreme Court? Are we going to have 789 00:38:18,000 --> 00:38:21,840 Speaker 1: great people in the Harris administration knock on wood actually 790 00:38:21,960 --> 00:38:25,640 Speaker 1: running these agencies that are so decisive for people's livelihoods 791 00:38:25,640 --> 00:38:28,960 Speaker 1: and lives and the majority in the House right these are, 792 00:38:28,960 --> 00:38:31,160 Speaker 1: and then of course state level work as well, but 793 00:38:31,560 --> 00:38:34,160 Speaker 1: with a focus on that federal work that is so 794 00:38:34,480 --> 00:38:38,799 Speaker 1: urgent right now, every single letter called knock donation is 795 00:38:38,840 --> 00:38:41,799 Speaker 1: going to go to determining the balance of power. And 796 00:38:41,840 --> 00:38:43,800 Speaker 1: we hope to make it as easy and as fun 797 00:38:43,880 --> 00:38:45,120 Speaker 1: as possible for folks. 798 00:38:45,480 --> 00:38:46,280 Speaker 3: This is so helpful. 799 00:38:46,280 --> 00:38:47,560 Speaker 2: I think it's going to help a lot of people 800 00:38:47,600 --> 00:38:51,000 Speaker 2: figure out, like move to that first step. 801 00:38:51,520 --> 00:38:53,560 Speaker 3: That's right, because it's it's. 802 00:38:53,440 --> 00:38:55,399 Speaker 2: Even if you've done it before, you know, we've got 803 00:38:55,440 --> 00:38:57,719 Speaker 2: to relearn that muscle. No one was really out on 804 00:38:57,760 --> 00:39:00,560 Speaker 2: the doors in twenty twenty. Also because the COVID, that's right, 805 00:39:00,600 --> 00:39:02,239 Speaker 2: so like the little Rusty for all of us. So 806 00:39:02,440 --> 00:39:04,440 Speaker 2: it helps when it feels like we're doing it in community, 807 00:39:04,600 --> 00:39:06,640 Speaker 2: and I think everyone listening wants to be in community 808 00:39:06,680 --> 00:39:06,880 Speaker 2: with you. 809 00:39:07,120 --> 00:39:09,480 Speaker 3: So thank you so much, Yasman. Super helpful to have 810 00:39:09,520 --> 00:39:09,799 Speaker 3: you on. 811 00:39:10,400 --> 00:39:12,759 Speaker 1: Well, I'm honored to be in community with you and 812 00:39:13,280 --> 00:39:16,840 Speaker 1: continuing to learn from you and your expertise. Even though 813 00:39:17,000 --> 00:39:20,239 Speaker 1: sometimes you pretend like you're just you're just out here 814 00:39:20,280 --> 00:39:24,040 Speaker 1: being a mom, you remain one of the smartest, sharpest, 815 00:39:24,080 --> 00:39:27,080 Speaker 1: and most strategic political actors out here. And so I'm 816 00:39:27,120 --> 00:39:29,920 Speaker 1: really excited that you're getting back in the game, even 817 00:39:29,960 --> 00:39:32,880 Speaker 1: in this new sort of cycle of life. And I 818 00:39:32,920 --> 00:39:35,040 Speaker 1: can't wait to see your kids out knocking on doors too. 819 00:39:35,160 --> 00:39:39,360 Speaker 2: In the final strip, they're talkers, they are talkers, so 820 00:39:39,520 --> 00:39:42,120 Speaker 2: every door will be like a twenty five minute long encounter. 821 00:39:42,719 --> 00:39:44,319 Speaker 3: I love it. I love it. 822 00:39:44,520 --> 00:39:50,320 Speaker 2: Thank you, thanks for coming on, Thank you, Emily, thanks 823 00:39:50,320 --> 00:39:53,200 Speaker 2: for listening. Yasmin and the Swing Left team are working 824 00:39:53,200 --> 00:39:55,440 Speaker 2: around the clock to make sure that all of these 825 00:39:55,480 --> 00:39:58,040 Speaker 2: ways to get involved are accessible to people like us. 826 00:39:58,400 --> 00:40:01,279 Speaker 2: Follow them at Swing left and visit swing left dot 827 00:40:01,360 --> 00:40:03,520 Speaker 2: org to check out all those ways to get involved. 828 00:40:04,000 --> 00:40:04,840 Speaker 3: Talk to you next week. 829 00:40:07,040 --> 00:40:10,800 Speaker 2: Special thanks to the she pivots team. Executive producer Emily 830 00:40:10,960 --> 00:40:15,200 Speaker 2: eda Velosik, Associate producer and social media connoisseur Hannah Cousins, 831 00:40:15,600 --> 00:40:20,560 Speaker 2: Research director Christine Dickinson, Events and Logistics coordinator Madeleine Sonoviak, 832 00:40:20,880 --> 00:40:25,359 Speaker 2: and audio editor and mixer Nina pollock I endorse che 833 00:40:25,680 --> 00:40:26,239 Speaker 2: Pivots