1 00:00:04,160 --> 00:00:05,880 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:05,920 --> 00:00:13,600 Speaker 1: of iHeartRadio and Unbossed Creative, I'm Bridgeton and this is 3 00:00:13,640 --> 00:00:18,760 Speaker 1: there Are No Girls on the Internet. Friday, March eighth 4 00:00:18,840 --> 00:00:21,239 Speaker 1: is International Women's Day, and here at there are No 5 00:00:21,320 --> 00:00:24,279 Speaker 1: Girls on the Internet. We're celebrating by taking part in 6 00:00:24,400 --> 00:00:28,840 Speaker 1: Iheartradios Women Take the Mic initiative. International Women's Day has 7 00:00:28,840 --> 00:00:30,800 Speaker 1: always kind of meant a lot to me. It is 8 00:00:30,840 --> 00:00:33,599 Speaker 1: so important to me to be honoring and lifting up 9 00:00:33,720 --> 00:00:36,440 Speaker 1: women all over the world, and I think this year 10 00:00:36,520 --> 00:00:38,840 Speaker 1: I'm doing that while also really wrestling with the fact 11 00:00:38,880 --> 00:00:42,360 Speaker 1: that women both here in the United States but especially globally, 12 00:00:42,840 --> 00:00:45,560 Speaker 1: are facing a lot right now. You know, in times 13 00:00:45,600 --> 00:00:48,479 Speaker 1: of war in conflict, we know that it is always 14 00:00:48,520 --> 00:00:51,480 Speaker 1: women that really bear the brunt, and I guess that's 15 00:00:51,520 --> 00:00:54,120 Speaker 1: just sort of weighing very heavy on my mind as 16 00:00:54,120 --> 00:00:56,680 Speaker 1: I reflect on what International Women's Day means to me 17 00:00:56,760 --> 00:00:59,160 Speaker 1: this year, I do also just want to take a 18 00:00:59,160 --> 00:01:01,520 Speaker 1: moment to honor the women who have supported me and 19 00:01:01,560 --> 00:01:03,600 Speaker 1: helped me to get where I am today. You know, 20 00:01:03,880 --> 00:01:05,959 Speaker 1: I know that I would not be doing any of 21 00:01:06,000 --> 00:01:07,640 Speaker 1: what I am doing if not for the women that 22 00:01:07,680 --> 00:01:10,319 Speaker 1: came before me. You'll hear a bit more about that 23 00:01:10,480 --> 00:01:13,280 Speaker 1: later in this episode. But the woman that I kind 24 00:01:13,280 --> 00:01:17,160 Speaker 1: of modeled my career after was the late Great Gweneifel, 25 00:01:17,640 --> 00:01:21,600 Speaker 1: a journalist and correspondent on PBS. Gweneifel was the first 26 00:01:21,600 --> 00:01:25,760 Speaker 1: woman to host a nationally televised US public affairs program 27 00:01:25,800 --> 00:01:28,800 Speaker 1: with Washington Weekend Review. I actually have a picture of 28 00:01:28,840 --> 00:01:32,119 Speaker 1: her hanging on my fridge right now. My parents always 29 00:01:32,200 --> 00:01:34,319 Speaker 1: watched her on PBS, and when I was a kid, 30 00:01:34,760 --> 00:01:36,520 Speaker 1: it was the first time that I saw a black 31 00:01:36,560 --> 00:01:40,800 Speaker 1: woman have this big career on television, and I always wondered, Wow, 32 00:01:41,120 --> 00:01:43,720 Speaker 1: I wonder if I could do that too someday. You know, 33 00:01:43,959 --> 00:01:47,280 Speaker 1: she really had the quintessential big career that I always 34 00:01:47,319 --> 00:01:48,120 Speaker 1: wanted for myself. 35 00:01:48,480 --> 00:01:49,640 Speaker 2: Like she did it all. 36 00:01:50,080 --> 00:01:55,360 Speaker 1: She moderated presidential debates. In fact, in February of twenty sixteen, Gweneifel, 37 00:01:55,440 --> 00:01:58,720 Speaker 1: alongside Judy Woodruff, became the first team of women to 38 00:01:58,800 --> 00:02:02,559 Speaker 1: moderate a Democratic residential debate, moderating the debate between Hillary 39 00:02:02,600 --> 00:02:06,280 Speaker 1: Clinton and Bernie Sanders. You know, some little girls dream 40 00:02:06,320 --> 00:02:09,520 Speaker 1: of being president, while I did not dream of being president. 41 00:02:09,680 --> 00:02:11,880 Speaker 1: I dreamt of being the woman who asks the person 42 00:02:11,919 --> 00:02:15,720 Speaker 1: who wants to be president, hard questions on television and 43 00:02:15,960 --> 00:02:19,400 Speaker 1: I might not ever have a big career like Gwen Eifels, 44 00:02:19,720 --> 00:02:22,639 Speaker 1: but she really inspired me to want to ask questions 45 00:02:22,680 --> 00:02:26,000 Speaker 1: and challenge myself and others. As women, we should be 46 00:02:26,040 --> 00:02:31,240 Speaker 1: seeing ourselves reflected in government, politics, media, journalism, culture, art, 47 00:02:31,680 --> 00:02:35,079 Speaker 1: and every other place where decisions are being made, including 48 00:02:35,240 --> 00:02:39,840 Speaker 1: the White House. NBC's Ali Vattally has been covering elections 49 00:02:39,840 --> 00:02:44,200 Speaker 1: from the campaign trail for years. Her book Electable, Why 50 00:02:44,320 --> 00:02:46,800 Speaker 1: America Hasn't put a woman in the White House dot 51 00:02:46,800 --> 00:02:50,400 Speaker 1: dot dot Yet takes a sweeping look at one of 52 00:02:50,440 --> 00:02:53,519 Speaker 1: the lingering questions of American elections. At a time when 53 00:02:53,560 --> 00:02:55,800 Speaker 1: more women have run for president of the United States 54 00:02:55,840 --> 00:02:58,440 Speaker 1: than ever before in our history? Will we ever see 55 00:02:58,480 --> 00:03:02,040 Speaker 1: a woman president? Alie and I have been friends for years, 56 00:03:02,280 --> 00:03:05,000 Speaker 1: and I hope that you'll enjoy our conversation about women 57 00:03:05,240 --> 00:03:07,920 Speaker 1: and our White House ambitions throughout history as much as 58 00:03:07,960 --> 00:03:17,359 Speaker 1: I did. So Allie, you have been covering the campaign 59 00:03:17,400 --> 00:03:20,840 Speaker 1: trail pretty much like since I've known you so for Yes, 60 00:03:21,400 --> 00:03:22,760 Speaker 1: what has that been like for you? 61 00:03:23,639 --> 00:03:25,920 Speaker 3: It has been like, I don't know, six or seven 62 00:03:26,000 --> 00:03:31,760 Speaker 3: years now straight of just traveling from Iowa to New Hampshire, Nevada, Florida, 63 00:03:31,840 --> 00:03:38,520 Speaker 3: everywhere in between, constantly just following candidates for Republicans, Democrats, midterms, presidentials. 64 00:03:38,760 --> 00:03:39,440 Speaker 3: We do it all. 65 00:03:41,520 --> 00:03:43,680 Speaker 1: Yeah, I mean, one of the big questions I have 66 00:03:43,800 --> 00:03:46,680 Speaker 1: for you is, having done this for so long, what 67 00:03:46,880 --> 00:03:48,440 Speaker 1: changes have you seen in the way that we talk 68 00:03:48,480 --> 00:03:52,720 Speaker 1: about candidates, especially women, people from marginalized backgrounds, Like, have 69 00:03:52,800 --> 00:03:55,400 Speaker 1: you seen a change since the beginning of your time 70 00:03:55,480 --> 00:03:56,200 Speaker 1: doing this to now? 71 00:03:57,200 --> 00:03:57,520 Speaker 2: Gosh? 72 00:03:57,640 --> 00:04:00,680 Speaker 3: I hope it's changing for the better. I think it's 73 00:04:00,760 --> 00:04:03,640 Speaker 3: changing for the better, in large part because I think 74 00:04:03,720 --> 00:04:08,640 Speaker 3: that media is more comfortable calling out sexism and racism. 75 00:04:08,920 --> 00:04:12,120 Speaker 3: There's not necessarily any more this knee jerk reaction to 76 00:04:12,240 --> 00:04:15,840 Speaker 3: both sides things that just shouldn't be both sides. So 77 00:04:16,279 --> 00:04:18,480 Speaker 3: I look at it, especially through the lens of someone 78 00:04:18,480 --> 00:04:21,440 Speaker 3: like Hillary Clinton. Right in two thousand and eight, the 79 00:04:21,880 --> 00:04:25,560 Speaker 3: media ecosystem didn't necessarily know how to deal with a 80 00:04:25,600 --> 00:04:28,479 Speaker 3: moment about like are you likable enough? Hillary? 81 00:04:28,680 --> 00:04:28,840 Speaker 2: Right? 82 00:04:28,960 --> 00:04:31,560 Speaker 3: Remember that moment on the debate stage with Barack Obama 83 00:04:31,720 --> 00:04:35,039 Speaker 3: or in New Hampshire. Everyone remembers the Obama piece of 84 00:04:35,040 --> 00:04:37,720 Speaker 3: that moment, and he's got a little bit of criticism 85 00:04:37,760 --> 00:04:41,200 Speaker 3: for that but few people remember the fact that it 86 00:04:41,240 --> 00:04:44,760 Speaker 3: was a media moderator who teed that moment up by 87 00:04:44,880 --> 00:04:49,440 Speaker 3: asking Hillary Clinton, voters say that you are qualified, but 88 00:04:49,520 --> 00:04:52,640 Speaker 3: they say that you're not likable, how would you reassure 89 00:04:52,680 --> 00:04:55,000 Speaker 3: them as if likability is something that you need to 90 00:04:55,040 --> 00:04:57,560 Speaker 3: be president, it's nice to have, But like I don't 91 00:04:57,600 --> 00:05:00,080 Speaker 3: think you need to be president if you're only if 92 00:05:00,080 --> 00:05:03,359 Speaker 3: you're a likable person. So people forget that, and I 93 00:05:03,360 --> 00:05:07,440 Speaker 3: think that we have come further, thankfully in the decade 94 00:05:07,600 --> 00:05:10,440 Speaker 3: since that moment, or less than a decade since that moment, 95 00:05:11,120 --> 00:05:14,720 Speaker 3: at least not asking those questions anymore. But the thing 96 00:05:14,760 --> 00:05:18,120 Speaker 3: about sexism, then you know this is it's persistent. If 97 00:05:18,160 --> 00:05:21,440 Speaker 3: it's not likability, it becomes something else. And I would 98 00:05:21,520 --> 00:05:27,440 Speaker 3: argue that in twenty twenty, likability became electability. And that's 99 00:05:27,480 --> 00:05:29,480 Speaker 3: sort of the whole premise of my book, and that's 100 00:05:29,560 --> 00:05:31,960 Speaker 3: really where I start out. The whole thesis is that 101 00:05:32,080 --> 00:05:35,640 Speaker 3: it's fair to want a candidate who's electable, who can win, 102 00:05:35,800 --> 00:05:37,919 Speaker 3: because everyone wants to pick a winner. And certainly in 103 00:05:37,960 --> 00:05:41,080 Speaker 3: twenty twenty, every single Democratic voter that I talked to 104 00:05:41,640 --> 00:05:44,680 Speaker 3: just so badly wanted to pick the person who could 105 00:05:44,720 --> 00:05:47,880 Speaker 3: beat Trump. But the thing about electability is no one 106 00:05:47,960 --> 00:05:51,839 Speaker 3: knows who can actually win until voters vote, and so 107 00:05:51,920 --> 00:05:54,799 Speaker 3: it's really where you assigning your benefit of the doubt. 108 00:05:55,200 --> 00:05:57,240 Speaker 3: And I think the upshot of the book is in 109 00:05:57,279 --> 00:06:00,520 Speaker 3: a whole bunch of different ways we give mail candidates 110 00:06:00,839 --> 00:06:03,640 Speaker 3: much more benefit of the doubt than we do female candidates. 111 00:06:04,080 --> 00:06:05,960 Speaker 2: It's fascinating. The book is fascinating. 112 00:06:06,080 --> 00:06:07,880 Speaker 1: Can can you talk us through some of the ways 113 00:06:07,920 --> 00:06:10,679 Speaker 1: that you see this playing out for women, that women 114 00:06:10,720 --> 00:06:12,400 Speaker 1: are not given the benefit of the doubt the way 115 00:06:12,400 --> 00:06:14,760 Speaker 1: that men are, Because yeah, I could think of some 116 00:06:15,240 --> 00:06:18,839 Speaker 1: recent male presidents who I might say were not the 117 00:06:18,880 --> 00:06:21,600 Speaker 1: most likable, and yet it didn't stop them from getting 118 00:06:21,600 --> 00:06:22,239 Speaker 1: to the White House. 119 00:06:22,960 --> 00:06:25,760 Speaker 3: I mean the first person that I thought of was 120 00:06:25,880 --> 00:06:28,560 Speaker 3: Donald Trump because I would go out on the campaign trill. 121 00:06:28,560 --> 00:06:31,000 Speaker 3: I covered him in the twenty sixteen election and his 122 00:06:31,040 --> 00:06:32,599 Speaker 3: first year and a half in the White House, and 123 00:06:32,600 --> 00:06:34,400 Speaker 3: what voters would say to me all the time was, 124 00:06:34,880 --> 00:06:37,280 Speaker 3: I don't like him. I don't like the way he talks, 125 00:06:37,360 --> 00:06:39,640 Speaker 3: I don't like the way he acts towards people. But 126 00:06:39,720 --> 00:06:42,440 Speaker 3: I also like that he says what is on his mind. 127 00:06:42,520 --> 00:06:44,440 Speaker 3: And I also like that he tells it how it is. 128 00:06:44,760 --> 00:06:47,360 Speaker 3: But I like the policies. I like the judges. They 129 00:06:47,400 --> 00:06:50,200 Speaker 3: found ways to rationalize the fact that they didn't like him, 130 00:06:50,480 --> 00:06:53,239 Speaker 3: but he was strong and they wanted him to be president. 131 00:06:53,880 --> 00:06:56,080 Speaker 3: And with women, what a study that I point to 132 00:06:56,080 --> 00:06:59,240 Speaker 3: in my book has found is that it's not just oh, 133 00:06:59,360 --> 00:07:01,760 Speaker 3: nice to be like everyone wants to be liked. It 134 00:07:01,880 --> 00:07:05,000 Speaker 3: impacts the way that people won't vote for female candidates 135 00:07:05,040 --> 00:07:07,960 Speaker 3: because in the case of someone like Trump, voters will 136 00:07:08,040 --> 00:07:09,800 Speaker 3: vote for a man that they don't like, but they 137 00:07:09,800 --> 00:07:11,920 Speaker 3: are less likely to vote for a woman who they 138 00:07:11,920 --> 00:07:14,480 Speaker 3: don't like. And so it's not just nice. 139 00:07:14,200 --> 00:07:15,960 Speaker 4: To have You have to have it. 140 00:07:16,040 --> 00:07:17,920 Speaker 3: You have to be likable, but then you also have 141 00:07:18,000 --> 00:07:20,320 Speaker 3: to be strong. And the moment that I come back 142 00:07:20,360 --> 00:07:23,559 Speaker 3: to a lot from twenty twenty was this seminal moment 143 00:07:23,680 --> 00:07:27,320 Speaker 3: on the debate stage in January of twenty twenty in Iowa, 144 00:07:27,640 --> 00:07:30,640 Speaker 3: were like two weeks from caucus. All of us are exhausted, 145 00:07:30,760 --> 00:07:35,280 Speaker 3: heavily caffeinated, room of reporters, everyone on stage is very 146 00:07:35,320 --> 00:07:37,960 Speaker 3: on edge, all of the candidates because there's just been 147 00:07:38,000 --> 00:07:41,400 Speaker 3: this leaked meeting that happened between Elizabeth Warren and Bernie Sanders. 148 00:07:41,440 --> 00:07:43,840 Speaker 3: I'm sure you remember this where Bernie allegedly said to 149 00:07:43,880 --> 00:07:47,000 Speaker 3: Elizabeth Warren, I don't think a woman can win the presidency, 150 00:07:47,080 --> 00:07:48,920 Speaker 3: or I don't think a woman can win the presidency 151 00:07:48,960 --> 00:07:53,240 Speaker 3: against Trump, and Elizabeth Warren, surprise surprise, disagreed with bot 152 00:07:53,280 --> 00:07:55,200 Speaker 3: promise as a woman who was going to try to 153 00:07:55,200 --> 00:07:57,400 Speaker 3: be a woman who took on Trump. And they get 154 00:07:57,400 --> 00:07:59,760 Speaker 3: on this debate stage and I'm covering the Warren campaign, 155 00:08:00,200 --> 00:08:03,600 Speaker 3: and they feel like she's on the record telling her 156 00:08:03,640 --> 00:08:06,200 Speaker 3: side of the story, and no one is believing her. 157 00:08:06,760 --> 00:08:09,000 Speaker 3: And so she goes forward and tries to take this 158 00:08:09,160 --> 00:08:11,679 Speaker 3: moment and make it into one that's like a big 159 00:08:11,720 --> 00:08:15,200 Speaker 3: electability argument. Here's why Elizabeth Warden can win. And she says, 160 00:08:15,440 --> 00:08:17,480 Speaker 3: of all the people that are on this stage right now, 161 00:08:17,480 --> 00:08:19,840 Speaker 3: and she's next to Joe Biden and Bernie Sanders and 162 00:08:19,880 --> 00:08:22,160 Speaker 3: Pete budajigj and Amy Klobashar is the only other woman 163 00:08:22,240 --> 00:08:24,400 Speaker 3: up there. She says, of all the people on this 164 00:08:24,520 --> 00:08:26,680 Speaker 3: stage right now, only two of us have won all 165 00:08:26,680 --> 00:08:31,160 Speaker 3: of our elections, me and Amy Klobashar. And that's the 166 00:08:31,200 --> 00:08:34,200 Speaker 3: reaction that Klobashar had. She's like laughing, chuckling at her 167 00:08:34,240 --> 00:08:37,400 Speaker 3: podium because she knows it's right, and everyone else is 168 00:08:37,440 --> 00:08:40,439 Speaker 3: just up there stoically nodding. And it's a proof point. 169 00:08:40,480 --> 00:08:42,760 Speaker 3: That's a way that you can prove the unprovable, which 170 00:08:42,800 --> 00:08:44,880 Speaker 3: is like, I know, you don't know who's gonna win. 171 00:08:44,960 --> 00:08:47,280 Speaker 3: Come I will talk this day in twenty twenty, but 172 00:08:47,360 --> 00:08:49,160 Speaker 3: I can tell you that every other time I've been 173 00:08:49,200 --> 00:08:51,880 Speaker 3: on a ballot, everyone's voted for me, and up to 174 00:08:51,920 --> 00:08:54,920 Speaker 3: the point that I've won. Same with Amy Klobashar. The men, 175 00:08:55,280 --> 00:08:57,679 Speaker 3: they don't get to say that. Joe Biden, he ran 176 00:08:57,760 --> 00:09:01,560 Speaker 3: for president twice before he ran twenty twenty. He didn't 177 00:09:01,559 --> 00:09:05,040 Speaker 3: win any states outright then they were failed presidential campaigns, 178 00:09:05,440 --> 00:09:07,640 Speaker 3: and yet he was the guy who had the air 179 00:09:07,720 --> 00:09:11,079 Speaker 3: of electability around him in twenty twenty, in large part 180 00:09:11,440 --> 00:09:15,200 Speaker 3: because he was a moderately positioned white male of a 181 00:09:15,240 --> 00:09:17,920 Speaker 3: certain age. And so that's a moment that I look 182 00:09:17,960 --> 00:09:20,120 Speaker 3: at it and I'm like, this is the seminole moment 183 00:09:20,200 --> 00:09:23,360 Speaker 3: where you look at electability as both an important metric 184 00:09:23,720 --> 00:09:27,079 Speaker 3: and also a very heavily gendered one. And part of 185 00:09:27,120 --> 00:09:29,040 Speaker 3: the reason I wanted to tackle it in this book 186 00:09:29,800 --> 00:09:33,040 Speaker 3: is because in the media environment, especially in cable. We 187 00:09:33,080 --> 00:09:36,480 Speaker 3: are moving forward so quickly, doing live shots every hour 188 00:09:36,600 --> 00:09:39,080 Speaker 3: on the hour, and you don't always get the chance 189 00:09:39,160 --> 00:09:42,480 Speaker 3: to unpack things through a gender lens, a race lens. 190 00:09:42,720 --> 00:09:45,199 Speaker 3: You are solely looking at it sometimes through a horse 191 00:09:45,320 --> 00:09:47,720 Speaker 3: race lens. And I really wanted to be able to 192 00:09:47,760 --> 00:09:51,280 Speaker 3: go back over this campaign, especially because all of us 193 00:09:51,280 --> 00:09:54,719 Speaker 3: were stopped in twenty twenty right after Warren dropped out 194 00:09:54,760 --> 00:09:57,080 Speaker 3: because of the pandemic. I wanted to be able to 195 00:09:57,080 --> 00:09:59,520 Speaker 3: go back over it with a heavy gender lens and 196 00:09:59,600 --> 00:10:03,280 Speaker 3: try to explain what's unquantifiable, which is that gender really 197 00:10:03,280 --> 00:10:05,880 Speaker 3: plays a role here. You can't put a percentage on it, 198 00:10:05,920 --> 00:10:07,240 Speaker 3: but that doesn't mean that it's not there. 199 00:10:08,880 --> 00:10:09,160 Speaker 2: Yeah. 200 00:10:09,240 --> 00:10:12,199 Speaker 1: I so, first of all, I just you probably get 201 00:10:12,200 --> 00:10:13,400 Speaker 1: this a lot, or maybe you don't. 202 00:10:13,440 --> 00:10:13,800 Speaker 2: I don't know. 203 00:10:14,400 --> 00:10:18,520 Speaker 1: I get so fed up with the kind of reporting 204 00:10:18,640 --> 00:10:22,439 Speaker 1: that only frames things as a horse race, like who's 205 00:10:22,440 --> 00:10:25,120 Speaker 1: going to come out ahead? Because I do think that 206 00:10:25,120 --> 00:10:27,280 Speaker 1: can be important, but it doesn't really tell us a 207 00:10:27,360 --> 00:10:29,680 Speaker 1: lot about where we are as a people, what we 208 00:10:29,760 --> 00:10:31,960 Speaker 1: care about, what we're thinking about when you're just thinking about. 209 00:10:31,720 --> 00:10:33,240 Speaker 2: It as like who's gonna win. 210 00:10:33,679 --> 00:10:37,319 Speaker 1: I think so much of the nuance about things like identity, gender, 211 00:10:37,440 --> 00:10:39,920 Speaker 1: race gets lost. But we know these things are so 212 00:10:40,040 --> 00:10:43,320 Speaker 1: salient in our world and in our society. So thank you, 213 00:10:43,480 --> 00:10:46,760 Speaker 1: like from the bottom of my heart, for like actually 214 00:10:46,800 --> 00:10:49,000 Speaker 1: doing the work of trying to shade in some of 215 00:10:49,000 --> 00:10:49,520 Speaker 1: that nuance. 216 00:10:49,559 --> 00:10:52,520 Speaker 2: It is so easily lost when we talk about politics. 217 00:10:52,800 --> 00:10:55,440 Speaker 3: But I also think that that's what people are hungry for, 218 00:10:55,679 --> 00:10:58,720 Speaker 3: right Like people are very tuned in right now. That 219 00:10:58,920 --> 00:11:00,880 Speaker 3: is one of the biggest out growths I think of 220 00:11:00,960 --> 00:11:03,199 Speaker 3: the Trump era is the fact that a lot of 221 00:11:03,280 --> 00:11:06,680 Speaker 3: people who might have been casual or non political people 222 00:11:07,160 --> 00:11:09,439 Speaker 3: have started to tune in in a little bit more 223 00:11:09,440 --> 00:11:11,520 Speaker 3: of a consistent way. And I recognize that there's a 224 00:11:11,559 --> 00:11:13,880 Speaker 3: ton of fatigue out there right now, but I think 225 00:11:13,920 --> 00:11:17,119 Speaker 3: that's also why it's important to put things in context 226 00:11:17,120 --> 00:11:20,199 Speaker 3: for people and to explain, like, Okay, this one thing 227 00:11:20,240 --> 00:11:22,839 Speaker 3: happened over here, but it's connected to these ten things 228 00:11:22,880 --> 00:11:25,240 Speaker 3: that happened over here, and oh, by the way, the 229 00:11:25,280 --> 00:11:27,720 Speaker 3: thing that runs under the lens of all of them 230 00:11:28,120 --> 00:11:31,600 Speaker 3: is gender, or is race, or is something else. And 231 00:11:31,640 --> 00:11:34,040 Speaker 3: I think that that's really important. Right if you're going 232 00:11:34,080 --> 00:11:35,720 Speaker 3: to get to be an expert in something, you should 233 00:11:35,760 --> 00:11:37,959 Speaker 3: be able to talk about all the different prongs of it, 234 00:11:38,080 --> 00:11:40,000 Speaker 3: and so I think it's a real privilege to be 235 00:11:40,000 --> 00:11:42,760 Speaker 3: able to explain politics through all of those lenses, not 236 00:11:42,880 --> 00:11:45,319 Speaker 3: just who's going to win, even though you and I 237 00:11:45,400 --> 00:11:48,679 Speaker 3: both know elections have consequences. Sure, But like I do 238 00:11:48,720 --> 00:11:51,040 Speaker 3: think one of the positive things about twenty twenty was 239 00:11:51,080 --> 00:11:54,280 Speaker 3: you had candidates who were running who were putting policy 240 00:11:54,679 --> 00:11:58,440 Speaker 3: at the forefront. The fact that Elizabeth Warren's tagline was 241 00:11:58,480 --> 00:12:02,960 Speaker 3: I have a plan for that wasn't necessarily just about policy, 242 00:12:03,040 --> 00:12:06,439 Speaker 3: though she loves policy, Like these people love policy, let 243 00:12:06,440 --> 00:12:09,000 Speaker 3: me tell you, they love the policy. And also, like 244 00:12:09,000 --> 00:12:12,160 Speaker 3: as someone who's read many of those policy memos, they 245 00:12:12,200 --> 00:12:15,000 Speaker 3: know their stuff. I mean, many of the policy priorities 246 00:12:15,040 --> 00:12:17,679 Speaker 3: that she put forward ended up being the nuts and 247 00:12:17,760 --> 00:12:20,800 Speaker 3: bolts of like the larger Democratic platform once the primary 248 00:12:20,880 --> 00:12:22,960 Speaker 3: was over. But it was also a way for her 249 00:12:23,320 --> 00:12:27,200 Speaker 3: to show expertise, and that's really important for women when 250 00:12:27,200 --> 00:12:29,079 Speaker 3: they are running as well. So like you had candidates 251 00:12:29,120 --> 00:12:31,280 Speaker 3: who were trying to lean in not just to the 252 00:12:31,320 --> 00:12:34,000 Speaker 3: horse race, but who were trying to steer the conversation 253 00:12:34,760 --> 00:12:37,320 Speaker 3: to a policy place as well, and that helps too. 254 00:12:38,400 --> 00:12:40,080 Speaker 1: Yeah, I want to talk a bit about that because 255 00:12:40,080 --> 00:12:43,719 Speaker 1: you talked about the amazing moment of Warren being like, oh, well, 256 00:12:43,760 --> 00:12:46,840 Speaker 1: we've won all of our races the women on the stage. 257 00:12:47,040 --> 00:12:49,720 Speaker 1: Did you think when I think about all the different 258 00:12:50,160 --> 00:12:56,040 Speaker 1: stereotypes and negative misconceptions about women as leaders, I think 259 00:12:56,080 --> 00:12:58,360 Speaker 1: that's and you and I will probably rattle off a 260 00:12:58,360 --> 00:13:01,440 Speaker 1: bunch of them, but I think that one that we 261 00:13:01,559 --> 00:13:03,400 Speaker 1: used to see a lot of is like, oh, women 262 00:13:03,480 --> 00:13:06,679 Speaker 1: are not competent, And part of me feels like it 263 00:13:06,760 --> 00:13:08,920 Speaker 1: has ping gotten to a place where it's like women 264 00:13:09,000 --> 00:13:11,840 Speaker 1: are competent, but like, yeah, she has to be competent, 265 00:13:11,880 --> 00:13:14,560 Speaker 1: but also nice about it. Like I almost wonder if, 266 00:13:14,640 --> 00:13:17,480 Speaker 1: like the if like the stereotype has kind of evolved 267 00:13:17,760 --> 00:13:21,640 Speaker 1: to continue to oppress women and not allow us to 268 00:13:21,640 --> 00:13:23,240 Speaker 1: be the leader, the effective leaders that you and. 269 00:13:23,280 --> 00:13:24,120 Speaker 2: I know that we can be. 270 00:13:24,400 --> 00:13:26,120 Speaker 1: But also it's like, oh, yeah, you can't just be 271 00:13:26,480 --> 00:13:28,080 Speaker 1: a woman who has a plan for everything. 272 00:13:28,120 --> 00:13:29,760 Speaker 2: You also have to be like demurror about it. 273 00:13:30,200 --> 00:13:31,600 Speaker 3: You need to be nice about it. It's like I 274 00:13:31,600 --> 00:13:33,440 Speaker 3: have a plan for everything, but no worries if not, 275 00:13:33,840 --> 00:13:37,800 Speaker 3: you know, but I do think so. First of all, 276 00:13:37,840 --> 00:13:41,520 Speaker 3: the good news is that any like polling or bias 277 00:13:41,880 --> 00:13:46,160 Speaker 3: research that's out there shows that thankfully, public opinion has 278 00:13:46,160 --> 00:13:49,880 Speaker 3: shifted on this idea of female competency, like there is 279 00:13:49,960 --> 00:13:51,760 Speaker 3: now and I point to this in my book, like 280 00:13:52,160 --> 00:13:54,839 Speaker 3: people think that men and women are as competent as 281 00:13:54,960 --> 00:13:58,920 Speaker 3: each other. So yay for very obvious progress. It should 282 00:13:58,960 --> 00:14:01,400 Speaker 3: have never had to be progressed too. But I also 283 00:14:01,480 --> 00:14:04,440 Speaker 3: talk in the book about this idea, and I'm actually 284 00:14:04,480 --> 00:14:08,040 Speaker 3: sure that you feel this too, Like the idea of 285 00:14:08,120 --> 00:14:11,200 Speaker 3: being called a smart girl is something that I dig 286 00:14:11,240 --> 00:14:13,880 Speaker 3: into in my book because it's something that I've been called. 287 00:14:13,920 --> 00:14:17,320 Speaker 3: But it's an example of like words that are coded 288 00:14:17,600 --> 00:14:21,240 Speaker 3: that like, if you are female, you know what it's 289 00:14:21,360 --> 00:14:23,840 Speaker 3: like to have something said to you that kind of 290 00:14:23,920 --> 00:14:27,240 Speaker 3: sounds like a compliment, but like isn't actually a compliment. 291 00:14:28,360 --> 00:14:30,080 Speaker 3: And it's one of the things that I dive into 292 00:14:30,120 --> 00:14:32,160 Speaker 3: in the book in relation to how we talk about 293 00:14:32,160 --> 00:14:35,760 Speaker 3: female candidates, because you're right, there's almost an apology that 294 00:14:35,880 --> 00:14:38,720 Speaker 3: has to come after you assert yourself, or after you 295 00:14:38,760 --> 00:14:42,440 Speaker 3: show how smart you are, or after you actively pursue 296 00:14:43,320 --> 00:14:45,280 Speaker 3: the goal that you're trying to go towards. And there's 297 00:14:45,320 --> 00:14:47,840 Speaker 3: a great op ed that came up during the twenty 298 00:14:47,920 --> 00:14:50,800 Speaker 3: twenty race that said something to the effect of, you know, 299 00:14:50,840 --> 00:14:53,200 Speaker 3: she's the most beautiful woman in the world, but also 300 00:14:53,280 --> 00:14:56,280 Speaker 3: she's very ugly. She's you know, she holds it, she 301 00:14:56,360 --> 00:14:58,160 Speaker 3: knows how to shoot a gun, but also she's never 302 00:14:58,200 --> 00:15:02,280 Speaker 3: held a gun. Like all of these random examples that 303 00:15:02,320 --> 00:15:05,520 Speaker 3: the author gave, and the final one I thought really 304 00:15:05,560 --> 00:15:08,120 Speaker 3: was a gut punch because it was she wants to 305 00:15:08,120 --> 00:15:11,120 Speaker 3: be president, but she'd never run for it. And that's 306 00:15:11,280 --> 00:15:14,120 Speaker 3: almost what we demand in women, is like, we want 307 00:15:14,160 --> 00:15:16,040 Speaker 3: you to assert yourself, we want you to try, we 308 00:15:16,080 --> 00:15:17,720 Speaker 3: want you to be the best. You should strive to 309 00:15:17,720 --> 00:15:20,720 Speaker 3: be the best, but also don't make anyone feel uncomfortable 310 00:15:20,760 --> 00:15:23,760 Speaker 3: that you're in your pursuit of doing those things. And 311 00:15:23,800 --> 00:15:27,640 Speaker 3: that's you know, I think that's something that women who 312 00:15:27,720 --> 00:15:29,720 Speaker 3: are listening to this and who have been in these 313 00:15:29,760 --> 00:15:33,320 Speaker 3: spaces that are still so male dominated. I think that's 314 00:15:33,320 --> 00:15:36,360 Speaker 3: something that a lot of people resonate with. And it's 315 00:15:36,400 --> 00:15:38,800 Speaker 3: part of why I think that the more diverse your 316 00:15:38,840 --> 00:15:42,040 Speaker 3: newsroom gets, the better you'll be it calling out the 317 00:15:42,120 --> 00:15:46,280 Speaker 3: narratives when they start against female candidates. And also you 318 00:15:46,320 --> 00:15:48,320 Speaker 3: won't fall into those traps in the first place, at 319 00:15:48,400 --> 00:15:49,120 Speaker 3: least I hope not. 320 00:15:50,200 --> 00:15:52,880 Speaker 1: Yeah, Oh, that is a gut punch, and I feel 321 00:15:52,920 --> 00:15:56,160 Speaker 1: like I really saw it with Vice President Harris. I 322 00:15:56,200 --> 00:15:59,520 Speaker 1: remember reading someone saying like, oh, she's really like the 323 00:15:59,800 --> 00:16:02,280 Speaker 1: insult that they gave them. They didn't they didn't come 324 00:16:02,320 --> 00:16:04,360 Speaker 1: out and say that it was an insult, but we 325 00:16:04,440 --> 00:16:07,080 Speaker 1: can read between the lines. It's like, Oh, she's ambitious, 326 00:16:07,120 --> 00:16:09,840 Speaker 1: she really wants to be president. And it's like, do 327 00:16:09,880 --> 00:16:13,080 Speaker 1: you think that the men on stage like accidentally filled 328 00:16:13,080 --> 00:16:15,160 Speaker 1: out their paperwork to run for president and they don't 329 00:16:15,160 --> 00:16:15,920 Speaker 1: actually want it. 330 00:16:15,800 --> 00:16:17,600 Speaker 2: It was just some big mistake and now they're. 331 00:16:17,440 --> 00:16:19,160 Speaker 3: On stage day. 332 00:16:19,960 --> 00:16:22,440 Speaker 1: Yeah, it's like, of course she wants to be president. 333 00:16:22,520 --> 00:16:25,080 Speaker 1: That's the point. Everybody on that stage wants to be president. 334 00:16:25,280 --> 00:16:29,080 Speaker 1: That's the point. The fact that it is lobbed at women, 335 00:16:29,840 --> 00:16:32,640 Speaker 1: coded as an insult or coded is like, this is 336 00:16:32,680 --> 00:16:35,360 Speaker 1: why you shouldn't trust them, because they have high end, 337 00:16:35,400 --> 00:16:39,000 Speaker 1: they have high ambitions for themselves, and they want power 338 00:16:39,040 --> 00:16:42,160 Speaker 1: and they want visibility and they're making themselves big, and 339 00:16:42,200 --> 00:16:45,280 Speaker 1: that's something that is to be distrustful of if you 340 00:16:45,320 --> 00:16:47,120 Speaker 1: are a woman or a person, or like a woman 341 00:16:47,200 --> 00:16:49,520 Speaker 1: or a woman of color in particular, Like, yeah, I 342 00:16:49,640 --> 00:16:53,080 Speaker 1: don't see that same thing lobbed at men, even though, 343 00:16:53,400 --> 00:16:55,440 Speaker 1: of course they want to be president. 344 00:16:55,520 --> 00:16:57,040 Speaker 2: Of course they're ambitious. 345 00:16:57,600 --> 00:17:01,000 Speaker 3: Yep, exactly. And that was the word of the vice 346 00:17:01,040 --> 00:17:04,840 Speaker 3: presidential deepstakes, if you remember, right, Biden says he's going 347 00:17:04,920 --> 00:17:08,280 Speaker 3: to pick a woman. A bunch of really amazingly qualified 348 00:17:08,280 --> 00:17:11,560 Speaker 3: women get put on both the public list that the 349 00:17:11,600 --> 00:17:14,840 Speaker 3: media likes to make but also the campaign's list, and 350 00:17:14,880 --> 00:17:18,560 Speaker 3: it's everyone from Stacy Abrams to Kamala Harris, to Elizabeth Warren, 351 00:17:18,600 --> 00:17:23,160 Speaker 3: to Amy Klobashard to Val Deming's, Tammy Duckworth, Gretchen Witmer, 352 00:17:23,200 --> 00:17:27,120 Speaker 3: all of these really amazing women that showcase just how 353 00:17:27,160 --> 00:17:30,480 Speaker 3: much work Democrats have put in to filling the pipeline 354 00:17:30,840 --> 00:17:36,119 Speaker 3: with really good talent and diverse talent, and all of 355 00:17:36,160 --> 00:17:39,000 Speaker 3: them going forward and voicing the fact that they want 356 00:17:39,040 --> 00:17:41,920 Speaker 3: to be vice president, raising their hand and saying, yeah, 357 00:17:41,960 --> 00:17:43,480 Speaker 3: I would do that job and I would be good 358 00:17:43,520 --> 00:17:47,640 Speaker 3: at it. And here's why that got turned into, oh, well, 359 00:17:47,640 --> 00:17:50,280 Speaker 3: they're ambitious, and now we're back to those words that 360 00:17:50,359 --> 00:17:53,119 Speaker 3: sound like they should be compliments, but really they're not. 361 00:17:53,800 --> 00:17:57,119 Speaker 3: And that was I think one of the things that 362 00:17:57,240 --> 00:18:01,679 Speaker 3: felt particularly gendered about process that shouldn't have had gender 363 00:18:02,000 --> 00:18:06,960 Speaker 3: perpolating behind it. At all was the vice presidential beepstakes, 364 00:18:07,560 --> 00:18:10,000 Speaker 3: and that word ambition just reared its head in such 365 00:18:10,000 --> 00:18:12,560 Speaker 3: a negative way. But I think the silver lining to 366 00:18:12,680 --> 00:18:16,600 Speaker 3: it was that what we saw happen was Democratic groups 367 00:18:17,760 --> 00:18:22,960 Speaker 3: formed this whole group of you know, strategists and operatives 368 00:18:23,080 --> 00:18:27,000 Speaker 3: and Emily's Lists and other groups that have been working 369 00:18:27,040 --> 00:18:31,680 Speaker 3: to elevate women across politics. They formed we have her Back, 370 00:18:31,920 --> 00:18:35,000 Speaker 3: and you watched it happen. When they would do live shots, 371 00:18:35,280 --> 00:18:38,560 Speaker 3: they would be asked, Okay, you know who's better suited 372 00:18:38,560 --> 00:18:41,520 Speaker 3: to be vice president? Karen Bass Kamala Harrison And instead 373 00:18:41,520 --> 00:18:45,400 Speaker 3: of comparing, contrasting, tearing one down to elevate the other. 374 00:18:45,680 --> 00:18:48,720 Speaker 3: I watched Valerie Jarrett do this time and again on MSNBC. 375 00:18:48,880 --> 00:18:51,480 Speaker 3: She would say, well, Karen Bass would be a great 376 00:18:51,560 --> 00:18:54,000 Speaker 3: choice for X y Z reason, Kamala Harris would be 377 00:18:54,000 --> 00:18:56,640 Speaker 3: a great choice for ABC reason, and they would both 378 00:18:56,680 --> 00:18:59,720 Speaker 3: be amazing vice president. Period. They did not say anything, 379 00:19:00,320 --> 00:19:02,480 Speaker 3: and they did not pit these women against each other. 380 00:19:02,480 --> 00:19:04,920 Speaker 3: That's not to say that it didn't happen, because politics 381 00:19:05,000 --> 00:19:08,399 Speaker 3: is still politics, but when it came down to it, 382 00:19:08,480 --> 00:19:12,359 Speaker 3: you watch democratic women, especially try not to make this 383 00:19:12,520 --> 00:19:16,399 Speaker 3: seem like a cat fight. And I think that was 384 00:19:16,440 --> 00:19:19,320 Speaker 3: a really big silver lining that makes it better going forward. 385 00:19:19,400 --> 00:19:23,199 Speaker 3: But yeah, Kamala Harris has been a really fascinating person 386 00:19:23,400 --> 00:19:27,120 Speaker 3: rising to the role of vice president because her ambition 387 00:19:27,560 --> 00:19:30,120 Speaker 3: and having run for president beforehand, which by the way, 388 00:19:30,359 --> 00:19:32,800 Speaker 3: Joe Biden did right before he got to be vice president. 389 00:19:33,119 --> 00:19:34,520 Speaker 3: That's somehow being held against. 390 00:19:37,440 --> 00:19:38,760 Speaker 1: Let's take a quick break. 391 00:19:49,280 --> 00:19:49,960 Speaker 2: At our back. 392 00:19:51,760 --> 00:19:55,520 Speaker 1: For women, both in politics or government or just professional 393 00:19:55,560 --> 00:19:56,160 Speaker 1: women in general. 394 00:19:56,200 --> 00:19:57,760 Speaker 2: I'm sure that you get this as a journalist. 395 00:19:58,680 --> 00:20:01,960 Speaker 1: I think that we have this this cultural attitude that 396 00:20:02,720 --> 00:20:05,960 Speaker 1: effort is bad, Like if people can see the effort, 397 00:20:06,280 --> 00:20:06,960 Speaker 1: that's no good. 398 00:20:07,000 --> 00:20:08,000 Speaker 2: It's supposed to look effort. 399 00:20:08,000 --> 00:20:10,359 Speaker 1: You're supposed to like you don't really want it, and 400 00:20:10,400 --> 00:20:13,600 Speaker 1: that you know, if you're good at something, it's just happenstance, 401 00:20:13,680 --> 00:20:15,680 Speaker 1: it's just natural. Like I've never had a gun before, 402 00:20:15,720 --> 00:20:17,639 Speaker 1: but I'm great at shooting a gun. Like, yeah, I 403 00:20:17,640 --> 00:20:21,159 Speaker 1: think work, we're told as women that you have to 404 00:20:22,040 --> 00:20:25,400 Speaker 1: hide all of the inner machinations that make you ambitious, 405 00:20:25,440 --> 00:20:27,400 Speaker 1: that make you show up as a professional person who 406 00:20:27,400 --> 00:20:30,480 Speaker 1: wants to achieve things and and you know, have a 407 00:20:30,520 --> 00:20:33,159 Speaker 1: big flashy career or a big flashy life or something 408 00:20:33,400 --> 00:20:34,840 Speaker 1: I think it's I think it goes back to this 409 00:20:35,000 --> 00:20:38,200 Speaker 1: like cultural attitude that we are not supposed to see 410 00:20:38,240 --> 00:20:40,040 Speaker 1: that from women, and when we do, we don't like 411 00:20:40,080 --> 00:20:41,520 Speaker 1: it and we have to like ding it down. 412 00:20:42,359 --> 00:20:44,919 Speaker 3: Yeah, and so you know what, like to the extent 413 00:20:45,000 --> 00:20:48,960 Speaker 3: that we can as individuals, like we have to lift 414 00:20:49,040 --> 00:20:52,480 Speaker 3: up the work, right, Like I do feel like we're 415 00:20:52,520 --> 00:20:55,880 Speaker 3: in a period where I think it's like all of us, 416 00:20:55,920 --> 00:20:59,080 Speaker 3: Like I look at my girlfriends who are hard workers. 417 00:21:00,080 --> 00:21:02,760 Speaker 3: They strive for their goals, they reach for them, Like 418 00:21:03,240 --> 00:21:06,399 Speaker 3: I am definitely someone who tries hard. I will I 419 00:21:06,400 --> 00:21:08,760 Speaker 3: will say that openly. I do my research when a 420 00:21:08,800 --> 00:21:11,359 Speaker 3: story is breaking. For example, when I knew that Speaker 421 00:21:11,400 --> 00:21:14,680 Speaker 3: Pelosi was going to be making an announcement about her 422 00:21:14,760 --> 00:21:17,520 Speaker 3: future plans, the first thing I did was pick up 423 00:21:17,560 --> 00:21:19,720 Speaker 3: a book that I had read about Pelosi six months 424 00:21:19,720 --> 00:21:22,040 Speaker 3: ago that I didn't remember every detail of. But I 425 00:21:22,080 --> 00:21:24,560 Speaker 3: was like, okay, how can I scan for the fine 426 00:21:24,600 --> 00:21:27,239 Speaker 3: points that I had marked off the pages on, Like 427 00:21:27,480 --> 00:21:31,000 Speaker 3: it's okay to do your research, like to anyone who's listening, 428 00:21:31,080 --> 00:21:33,199 Speaker 3: Like I would never be able to show up on 429 00:21:33,240 --> 00:21:37,960 Speaker 3: television every day and know random facts about the legislative 430 00:21:38,000 --> 00:21:41,400 Speaker 3: push that Nancy Pelosi made in two thousand and eight, 431 00:21:41,640 --> 00:21:44,280 Speaker 3: just off the top of my head. You have to 432 00:21:44,359 --> 00:21:46,000 Speaker 3: work at it. And I actually think the more that 433 00:21:46,040 --> 00:21:49,440 Speaker 3: we normalize that for other women, the harder it becomes 434 00:21:49,480 --> 00:21:52,800 Speaker 3: to ding people for working hard and for showing up 435 00:21:52,840 --> 00:21:55,280 Speaker 3: and being smart. And you know, we can kind of 436 00:21:55,320 --> 00:21:57,679 Speaker 3: take that back. Like, I do want to believe that 437 00:21:57,680 --> 00:21:59,840 Speaker 3: that power is within us. So I'm not willing to 438 00:21:59,840 --> 00:22:02,840 Speaker 3: seed the space to the patriarchy on that one for 439 00:22:02,920 --> 00:22:05,320 Speaker 3: me or for anyone else, like who's running for president 440 00:22:05,440 --> 00:22:07,640 Speaker 3: or who's just like you know, going about their day 441 00:22:07,680 --> 00:22:09,720 Speaker 3: trying to be the best version of themselves. 442 00:22:10,119 --> 00:22:10,640 Speaker 2: Yeah, and it. 443 00:22:10,600 --> 00:22:13,080 Speaker 1: Goes back to what you were saying about the we 444 00:22:13,160 --> 00:22:15,639 Speaker 1: Have Her Back coalition, you know, I do think that. 445 00:22:15,680 --> 00:22:18,160 Speaker 1: I mean, on the one hand, I hate that it's 446 00:22:18,240 --> 00:22:21,960 Speaker 1: kind of on us as individuals to combat this this 447 00:22:22,240 --> 00:22:26,000 Speaker 1: stigma that I think is like highly institutional and systemic. 448 00:22:26,240 --> 00:22:29,720 Speaker 1: But I do think like modeling how you can talk 449 00:22:29,760 --> 00:22:32,800 Speaker 1: about other women who are ambitious and like not not 450 00:22:32,920 --> 00:22:35,880 Speaker 1: give not give people thought her to be like ooh, 451 00:22:36,000 --> 00:22:39,040 Speaker 1: catfide or like ooh like you know. So I work 452 00:22:39,080 --> 00:22:41,520 Speaker 1: for a gender justice organization, Ultra Violet, and we have 453 00:22:41,600 --> 00:22:44,919 Speaker 1: a norm where even if we're talking about a woman 454 00:22:45,040 --> 00:22:47,360 Speaker 1: that we don't like or that we don't agree with her, 455 00:22:47,760 --> 00:22:50,200 Speaker 1: our values don't align. We think she's like not good 456 00:22:50,240 --> 00:22:52,680 Speaker 1: for the country or whatever. As a lawmaker, we don't 457 00:22:52,720 --> 00:22:55,600 Speaker 1: call her unqualified, we don't call there are certain things 458 00:22:55,600 --> 00:22:57,520 Speaker 1: that we don't call her or that we will never 459 00:22:57,640 --> 00:23:02,199 Speaker 1: like even imply because it. It adds to this. It 460 00:23:02,240 --> 00:23:04,800 Speaker 1: adds to this the. 461 00:23:04,600 --> 00:23:07,560 Speaker 2: Stigma that I think holds us all down. That's with it. 462 00:23:07,600 --> 00:23:10,000 Speaker 1: And so even if we're saying like, oh, this woman, 463 00:23:10,000 --> 00:23:12,640 Speaker 1: we don't like her, if we say that she's unqualified 464 00:23:12,720 --> 00:23:14,600 Speaker 1: or this or that or this, that can come back 465 00:23:14,680 --> 00:23:17,040 Speaker 1: to get us. Because we're all women and all of 466 00:23:17,080 --> 00:23:19,520 Speaker 1: our oppression is really linked in that way. We're just 467 00:23:19,520 --> 00:23:22,119 Speaker 1: we're just adding fuel to that fire to have somebody 468 00:23:22,160 --> 00:23:24,600 Speaker 1: be able to lob that at another woman and keep 469 00:23:24,640 --> 00:23:25,040 Speaker 1: her down. 470 00:23:26,040 --> 00:23:28,479 Speaker 3: Yeah. Look, so much of this is systemic too. Like 471 00:23:28,600 --> 00:23:31,159 Speaker 3: I always think about the idea of a lot of 472 00:23:31,160 --> 00:23:33,760 Speaker 3: my friends, I feel this way a lot, the idea 473 00:23:33,760 --> 00:23:37,560 Speaker 3: of imposter syndrome, and really that almost puts the onus 474 00:23:37,640 --> 00:23:40,080 Speaker 3: on us, like it's our fault that we don't feel 475 00:23:40,080 --> 00:23:43,120 Speaker 3: like we are qualified enough or that we are taking 476 00:23:43,240 --> 00:23:45,679 Speaker 3: up space in the right way, and really like the 477 00:23:45,760 --> 00:23:48,719 Speaker 3: owners should be on the systems in which we are operating, 478 00:23:48,840 --> 00:23:51,080 Speaker 3: because I can guarantee that every single one of my 479 00:23:51,200 --> 00:23:54,399 Speaker 3: friends who has the feeling of being an impostor in 480 00:23:54,480 --> 00:23:57,439 Speaker 3: the spaces that they're in, that's not the case. They 481 00:23:57,480 --> 00:23:59,920 Speaker 3: are more than qualified to be there. Their voice should 482 00:23:59,920 --> 00:24:02,720 Speaker 3: be value there. It's the systems that we need to 483 00:24:02,760 --> 00:24:05,480 Speaker 3: push back on and the systems that need to stop 484 00:24:05,600 --> 00:24:08,359 Speaker 3: making us feel like we are outsiders to them. So 485 00:24:08,400 --> 00:24:11,199 Speaker 3: I think that that's really important. It's not fair that 486 00:24:11,280 --> 00:24:14,679 Speaker 3: we have to reshape these structures, but that's sort of 487 00:24:14,720 --> 00:24:17,800 Speaker 3: the onus that we have right now, whether it's fair 488 00:24:17,920 --> 00:24:18,119 Speaker 3: or not. 489 00:24:19,400 --> 00:24:21,480 Speaker 1: Yeah, I mean it's it's like, that's the trip of 490 00:24:21,520 --> 00:24:23,919 Speaker 1: living in a patriarchal society. I guess it's like it 491 00:24:23,920 --> 00:24:26,640 Speaker 1: shouldn't be on us, but it is, and like it's 492 00:24:26,760 --> 00:24:28,760 Speaker 1: like part of the work, part of showing. 493 00:24:28,480 --> 00:24:32,040 Speaker 3: Up in and what a trip it is, and. 494 00:24:32,200 --> 00:24:33,720 Speaker 2: What a trip it is. 495 00:24:34,359 --> 00:24:35,840 Speaker 3: But you know what you bring us something that's so 496 00:24:35,960 --> 00:24:39,359 Speaker 3: interesting too, because there is in the book, I do 497 00:24:39,480 --> 00:24:44,119 Speaker 3: explore a lot about democrats, in large part because six 498 00:24:44,160 --> 00:24:46,679 Speaker 3: of them ran for president in twenty twenty but I 499 00:24:46,760 --> 00:24:50,760 Speaker 3: also talk about Republicanism and gender and identity, and there's 500 00:24:50,800 --> 00:24:53,560 Speaker 3: a really fascinating thing happening on the Republican side right 501 00:24:53,600 --> 00:24:57,800 Speaker 3: now where they are electing more women, but the groups 502 00:24:57,880 --> 00:25:01,280 Speaker 3: that exist on the Republican side to try to get 503 00:25:01,280 --> 00:25:05,320 Speaker 3: more women in their pipeline. Thankfully, now there's a recognition 504 00:25:05,359 --> 00:25:09,280 Speaker 3: among Republicans that women can run in really tight races. 505 00:25:09,440 --> 00:25:11,320 Speaker 3: They're a large part of the reason that they flipped 506 00:25:11,320 --> 00:25:13,600 Speaker 3: so many seats in twenty twenty. A lot of the 507 00:25:13,640 --> 00:25:16,919 Speaker 3: competitive seats this cycle had women running in them on 508 00:25:16,960 --> 00:25:21,080 Speaker 3: the Republican side especially, So all of those things are true, 509 00:25:21,640 --> 00:25:24,800 Speaker 3: but they're having a kind of debate about can we 510 00:25:24,840 --> 00:25:29,520 Speaker 3: call other women unqualified or unviable? And they're having it 511 00:25:29,600 --> 00:25:32,760 Speaker 3: because of people like Marjorie Taylor Green and Lauren Bobert 512 00:25:33,000 --> 00:25:37,800 Speaker 3: who have embraced non reality and who have embraced conspiracy 513 00:25:37,840 --> 00:25:40,879 Speaker 3: theories and elections in nihilism, and it's a party that 514 00:25:40,920 --> 00:25:43,199 Speaker 3: the whole It's the thing that the whole Republican Party 515 00:25:43,520 --> 00:25:46,080 Speaker 3: is dealing with right now, like the role of Trump, 516 00:25:46,840 --> 00:25:49,639 Speaker 3: the role of elections in nihilism, the role of the 517 00:25:49,680 --> 00:25:52,040 Speaker 3: fringe of the party. They're all figuring it out right now. 518 00:25:52,320 --> 00:25:54,800 Speaker 3: But when it comes to women, I've watched these women's 519 00:25:54,800 --> 00:25:58,560 Speaker 3: group try to draw the line by using words like 520 00:25:58,920 --> 00:26:02,760 Speaker 3: we only endorse viable female candidates, or we only endorse 521 00:26:03,200 --> 00:26:07,200 Speaker 3: qualified female candidates. They're trying to make that delineation because 522 00:26:07,640 --> 00:26:10,000 Speaker 3: they think that some of the women who have risen 523 00:26:10,080 --> 00:26:14,920 Speaker 3: to popularism in recent years and months are not qualified 524 00:26:14,920 --> 00:26:17,119 Speaker 3: and should not be indicative of the kind of Republican 525 00:26:17,160 --> 00:26:19,399 Speaker 3: women serving. So it's fascinating that those are one of 526 00:26:19,440 --> 00:26:23,479 Speaker 3: the words that you guys think about actively, because in 527 00:26:23,560 --> 00:26:25,639 Speaker 3: watching it on the Republican side, that's one of the 528 00:26:25,640 --> 00:26:27,880 Speaker 3: words that they use as sort of like a line 529 00:26:27,880 --> 00:26:31,639 Speaker 3: of demarcation, like we only support serious candidates, which is 530 00:26:31,680 --> 00:26:35,199 Speaker 3: to say they don't support the conspiracy theorists, and like 531 00:26:35,640 --> 00:26:37,800 Speaker 3: that's a line that needs to be drawn in Republican 532 00:26:37,840 --> 00:26:40,480 Speaker 3: politics right now. But it's fascinating the way that they're 533 00:26:40,520 --> 00:26:42,600 Speaker 3: drawing that's so interesting. 534 00:26:42,600 --> 00:26:45,280 Speaker 1: And it's like, I mean, especially coming out of mid terms, 535 00:26:45,480 --> 00:26:46,960 Speaker 1: where people are like, oh, there's going to be a 536 00:26:46,960 --> 00:26:49,960 Speaker 1: bad way, and I would say that like people kind 537 00:26:50,000 --> 00:26:54,200 Speaker 1: of rejected that like election denihilism vibe. But I think 538 00:26:54,240 --> 00:26:57,320 Speaker 1: people kind the voters kind of were like, no, thank you. 539 00:26:57,640 --> 00:27:00,720 Speaker 1: And I do think like figuring a it's interesting how 540 00:27:00,760 --> 00:27:03,520 Speaker 1: they're they're using these I don't know if euphemisms is 541 00:27:03,560 --> 00:27:06,479 Speaker 1: the right word, but using these ways to draw a 542 00:27:06,520 --> 00:27:10,359 Speaker 1: lot in the sand and to like explain like, oh, 543 00:27:10,400 --> 00:27:12,600 Speaker 1: these are the kind of candidates that we're looking to 544 00:27:12,960 --> 00:27:15,280 Speaker 1: support and uplift, not these other ones. 545 00:27:15,320 --> 00:27:16,640 Speaker 2: They're not gonna they're not gonna come out. 546 00:27:16,560 --> 00:27:18,879 Speaker 1: And say we don't want to, you know, get in 547 00:27:18,920 --> 00:27:21,680 Speaker 1: bed with an election denial of denial candidate or a 548 00:27:21,720 --> 00:27:24,560 Speaker 1: conspiracy theory candidate. But like the way that they're using 549 00:27:24,720 --> 00:27:26,480 Speaker 1: language is sort of like, but you know what we're 550 00:27:26,480 --> 00:27:27,280 Speaker 1: trying to say, you know. 551 00:27:27,320 --> 00:27:30,200 Speaker 3: Yeah, yeah, well well, and some of them will say that, 552 00:27:30,359 --> 00:27:32,000 Speaker 3: I mean, some of the women that I talk to 553 00:27:32,080 --> 00:27:35,080 Speaker 3: and quote in the book will say that is not 554 00:27:35,200 --> 00:27:38,520 Speaker 3: the kind of a female candidate that we want to 555 00:27:38,600 --> 00:27:40,840 Speaker 3: put our money behind, to put our resources behind, to 556 00:27:40,880 --> 00:27:43,760 Speaker 3: help out of primaries. And I specifically say to help 557 00:27:43,760 --> 00:27:46,600 Speaker 3: out of primaries because a large part of the reason 558 00:27:46,880 --> 00:27:50,639 Speaker 3: that groups are so important in elevating female candidates and 559 00:27:50,680 --> 00:27:54,320 Speaker 3: people of color, basically anyone who's non white and non male. 560 00:27:54,840 --> 00:27:57,760 Speaker 3: The reason it's important is because they're operating in structures 561 00:27:57,760 --> 00:27:59,480 Speaker 3: that are just tilted against them, Like, this is a 562 00:27:59,520 --> 00:28:01,840 Speaker 3: system the end of the day. It was built by men, 563 00:28:02,240 --> 00:28:05,240 Speaker 3: built by white men, for white men, to keep power 564 00:28:05,359 --> 00:28:08,520 Speaker 3: for white men. So anyone who's not that is already 565 00:28:08,720 --> 00:28:11,000 Speaker 3: kind of going against the system as it was built. 566 00:28:11,440 --> 00:28:15,280 Speaker 3: But in primaries is really where we see gender and 567 00:28:15,440 --> 00:28:19,280 Speaker 3: race play a role that can be counter productive to 568 00:28:19,359 --> 00:28:23,080 Speaker 3: the candidate. And that's why it's so important to focus 569 00:28:23,119 --> 00:28:25,920 Speaker 3: on primaries because when people get to general elections, their 570 00:28:26,000 --> 00:28:28,320 Speaker 3: tribal If you're a Democrat, you're probably voting Democrat. If 571 00:28:28,359 --> 00:28:30,800 Speaker 3: you're a Republican, you're probably voting a Republican. I love 572 00:28:30,800 --> 00:28:34,480 Speaker 3: independent voters, but increasingly it's a smaller and smaller slice 573 00:28:34,520 --> 00:28:36,720 Speaker 3: of the pie. And so that's why the focus is 574 00:28:36,760 --> 00:28:40,160 Speaker 3: so important on primaries just generally, because that's really where 575 00:28:40,200 --> 00:28:43,080 Speaker 3: the dynamics are. It's not as tribal there because you're 576 00:28:43,080 --> 00:28:45,200 Speaker 3: picking among multiple people in your own party. 577 00:28:46,360 --> 00:28:48,080 Speaker 1: Yeah, this is going to be I'm not even really 578 00:28:48,080 --> 00:28:50,520 Speaker 1: sure how to ask this, but it fits so nicely 579 00:28:50,560 --> 00:28:53,000 Speaker 1: in the intersection of your work. There are so many 580 00:28:53,280 --> 00:28:57,080 Speaker 1: women candidates who do embrace things like election denilism and 581 00:28:57,120 --> 00:28:59,239 Speaker 1: conspiracy theory. Are men there are a lot of men 582 00:28:59,240 --> 00:29:01,239 Speaker 1: who do it too, but plenty of women become like 583 00:29:01,400 --> 00:29:04,880 Speaker 1: rising stars and have big platforms and big profiles on 584 00:29:05,000 --> 00:29:08,920 Speaker 1: the basis of their embracing conspiracy theory and elections nihilism. 585 00:29:09,040 --> 00:29:11,920 Speaker 1: Do you think there's something about women where when they 586 00:29:11,960 --> 00:29:14,440 Speaker 1: have embrace this ideology, it like. 587 00:29:15,960 --> 00:29:18,280 Speaker 2: Helps them more? Like what do you think is going on. 588 00:29:18,240 --> 00:29:22,120 Speaker 3: Well on the Republican side, Definitely, I mean, but again, 589 00:29:22,280 --> 00:29:24,719 Speaker 3: it's not just women on the Republican side who are 590 00:29:24,720 --> 00:29:28,200 Speaker 3: being forced to grapple with what I would call like 591 00:29:28,320 --> 00:29:32,640 Speaker 3: republicanism in the age of Trump. Because the more I'm out, 592 00:29:32,720 --> 00:29:35,000 Speaker 3: the more I hear voters who say that, like, the 593 00:29:35,040 --> 00:29:39,040 Speaker 3: word Republican doesn't mean conservative anymore of them, the word 594 00:29:39,080 --> 00:29:43,040 Speaker 3: Republican means Trump. So the party itself is going through 595 00:29:43,040 --> 00:29:45,760 Speaker 3: a reckoning the fact that there are women at the 596 00:29:45,800 --> 00:29:48,680 Speaker 3: forefront of that movement, but there are also men at 597 00:29:48,680 --> 00:29:51,760 Speaker 3: the forefront of that movement, you know, Like, I don't 598 00:29:51,800 --> 00:29:54,280 Speaker 3: know if that's necessarily a gender question, but I do 599 00:29:54,320 --> 00:29:57,360 Speaker 3: think that it speaks to something that Secretary Hillary Clinton 600 00:29:57,400 --> 00:29:59,200 Speaker 3: said to me when I was talking with her for 601 00:29:59,240 --> 00:30:04,920 Speaker 3: this project, which is the entire idea of electability has changed, right, 602 00:30:05,080 --> 00:30:08,720 Speaker 3: Like the idea, and she brought up an example, not 603 00:30:08,840 --> 00:30:11,600 Speaker 3: using a specific candidate, but she pointed to the Republican 604 00:30:11,680 --> 00:30:14,480 Speaker 3: side where she thought at one point that a woman 605 00:30:14,760 --> 00:30:18,560 Speaker 3: holding a gun prominently in a campaign ad might not 606 00:30:18,680 --> 00:30:22,280 Speaker 3: have been viewed as electable several years ago, but certainly 607 00:30:22,360 --> 00:30:27,360 Speaker 3: helps a woman's electability now in the Republican party. So look, 608 00:30:27,440 --> 00:30:29,760 Speaker 3: the upside of that is that we are starting to 609 00:30:29,800 --> 00:30:35,320 Speaker 3: see more kinds of women as electable. The downside is 610 00:30:35,360 --> 00:30:39,520 Speaker 3: that right now in Republican politics, it is also popular 611 00:30:39,640 --> 00:30:45,360 Speaker 3: to deny results of legitimate elections proffer lies to an 612 00:30:45,400 --> 00:30:50,920 Speaker 3: electorate about those elections. That's problematic from a small d 613 00:30:51,120 --> 00:30:54,920 Speaker 3: democracy standpoint, and that's just like a Republican thing that 614 00:30:54,920 --> 00:30:56,080 Speaker 3: they're dealing with right now. 615 00:30:56,240 --> 00:30:59,920 Speaker 1: Gender aside, Yeah, that is so interesting, and it's like, 616 00:31:00,760 --> 00:31:04,959 Speaker 1: even though that's not necessarily you know, particular to gender, 617 00:31:05,400 --> 00:31:07,720 Speaker 1: I do see it as just like another way that 618 00:31:07,760 --> 00:31:10,040 Speaker 1: it can become a trap for women, right, like another 619 00:31:10,120 --> 00:31:13,400 Speaker 1: way that like it can be this tightrope that women 620 00:31:13,440 --> 00:31:15,960 Speaker 1: are expected to walk that men. 621 00:31:15,800 --> 00:31:20,200 Speaker 3: Just are not. Yes, yeah, well there's also something interesting 622 00:31:20,240 --> 00:31:22,440 Speaker 3: on the Republican side of this too, where I found 623 00:31:22,480 --> 00:31:25,720 Speaker 3: a study in my book where if you are female 624 00:31:25,840 --> 00:31:28,440 Speaker 3: or a person of color. And I think the study 625 00:31:28,520 --> 00:31:35,680 Speaker 3: was around demographic biases that may exist within conservative voters. 626 00:31:36,120 --> 00:31:38,760 Speaker 3: One of the ways that candidates of color and female 627 00:31:38,800 --> 00:31:43,240 Speaker 3: candidates can overcome any demographic biases that exist is by 628 00:31:43,280 --> 00:31:47,480 Speaker 3: being more hyper conservative. So if you're Carly Fiorina or 629 00:31:47,520 --> 00:31:49,400 Speaker 3: if you're Ben Carson, and those were some of the 630 00:31:49,480 --> 00:31:53,840 Speaker 3: names that were tested by in this one study their 631 00:31:53,960 --> 00:31:59,680 Speaker 3: hyper conservatism, showing that ideologically they ascribe to all aspects 632 00:31:59,680 --> 00:32:03,400 Speaker 3: of publicanism that can overcome any bias that might exist 633 00:32:03,560 --> 00:32:06,640 Speaker 3: because they are black or because they are female. And 634 00:32:06,720 --> 00:32:09,960 Speaker 3: I thought that was a really interesting study that sort 635 00:32:09,960 --> 00:32:12,800 Speaker 3: of explains why you have the rise of certain very 636 00:32:12,880 --> 00:32:17,560 Speaker 3: hyper conservative women on the right. It kind of explains 637 00:32:17,560 --> 00:32:23,320 Speaker 3: Sarah Palin and Marsha Blackburn and Marjorie Taylor Green and 638 00:32:23,400 --> 00:32:26,360 Speaker 3: Lauren Bobert, Like there at least is some explanation for 639 00:32:26,440 --> 00:32:29,320 Speaker 3: it because on the Republican side, otherwise they do not 640 00:32:29,400 --> 00:32:32,440 Speaker 3: want to talk about gender and identity politics. That is 641 00:32:32,520 --> 00:32:35,600 Speaker 3: like a bad word. Don't get into it, don't talk 642 00:32:35,720 --> 00:32:38,240 Speaker 3: as a woman, don't talk you know, they don't want 643 00:32:38,240 --> 00:32:40,720 Speaker 3: to hear that. It's just are you you know, their 644 00:32:40,840 --> 00:32:43,560 Speaker 3: metrics for assessing candidate viability are just different. 645 00:32:44,560 --> 00:32:47,560 Speaker 2: That is so fascinating. So I have to ask Bough. 646 00:32:47,960 --> 00:32:51,400 Speaker 1: The book is called Electable by America hasn't put a 647 00:32:51,440 --> 00:32:54,840 Speaker 1: woman in the White House dot dot dot yet, And. 648 00:32:54,760 --> 00:32:58,520 Speaker 2: That title makes me say that you are so like you. 649 00:32:58,560 --> 00:32:59,800 Speaker 2: What are your thoughts? Do you think we're going to 650 00:32:59,840 --> 00:33:02,480 Speaker 2: see a woman president in your lifetime? Our lifetime? Like? 651 00:33:02,920 --> 00:33:04,160 Speaker 2: Are you hopeful? What do you think? 652 00:33:05,680 --> 00:33:08,400 Speaker 3: I need to see it. We have to see it. 653 00:33:08,680 --> 00:33:09,479 Speaker 3: We're gonna see it. 654 00:33:13,240 --> 00:33:16,840 Speaker 2: I thought we had our time. 655 00:33:16,600 --> 00:33:23,000 Speaker 4: And then then you know, I mean, look, I say yet, 656 00:33:23,120 --> 00:33:26,680 Speaker 4: because I need to be optimistic about this. 657 00:33:26,880 --> 00:33:29,840 Speaker 3: I do think that you have people, even Liz Cheney 658 00:33:29,920 --> 00:33:32,560 Speaker 3: right now, who have made the point in recent months 659 00:33:32,600 --> 00:33:34,880 Speaker 3: that men have been running things for a while and 660 00:33:34,920 --> 00:33:37,800 Speaker 3: it hasn't always gone so great. I do think that 661 00:33:37,880 --> 00:33:42,640 Speaker 3: it's time to maybe try something else. At the same time, though, too, 662 00:33:43,520 --> 00:33:47,640 Speaker 3: there have been just systemic issues with why a woman 663 00:33:47,720 --> 00:33:49,800 Speaker 3: has not been able to ascend to the White House, 664 00:33:49,880 --> 00:33:52,840 Speaker 3: And in large part it's because we haven't seen a 665 00:33:52,880 --> 00:33:55,840 Speaker 3: ton of women serving in elected office until like the 666 00:33:55,920 --> 00:33:58,920 Speaker 3: last forty or fifty years. And I know that sounds 667 00:33:58,960 --> 00:34:01,880 Speaker 3: like a long time, but it's actually not that long, 668 00:34:02,440 --> 00:34:05,360 Speaker 3: and women are filling the ranks of both parties so 669 00:34:05,520 --> 00:34:09,360 Speaker 3: much right now that finally there are long lists of 670 00:34:09,400 --> 00:34:11,440 Speaker 3: women who we can say, Okay, they can run for 671 00:34:11,480 --> 00:34:13,560 Speaker 3: president on the Republican side, they can run for president 672 00:34:13,640 --> 00:34:16,520 Speaker 3: on the Democrat Democratic side, to the point where I 673 00:34:16,560 --> 00:34:20,120 Speaker 3: think in twenty twenty four and twenty twenty four is 674 00:34:20,160 --> 00:34:24,239 Speaker 3: tough because two men still govern this process, and so 675 00:34:24,320 --> 00:34:26,719 Speaker 3: at a certain point it becomes a numbers game, and 676 00:34:26,760 --> 00:34:28,880 Speaker 3: I think that gone are the days where you're just 677 00:34:28,880 --> 00:34:31,480 Speaker 3: going to have only fields of dudes running for president. 678 00:34:32,200 --> 00:34:34,279 Speaker 3: There are going to be women who are running. I 679 00:34:34,320 --> 00:34:37,960 Speaker 3: also think that what Biden did by electing by choosing 680 00:34:38,000 --> 00:34:40,680 Speaker 3: Kamala Harris and then Kamala Harris and Joe Biden being 681 00:34:40,760 --> 00:34:43,560 Speaker 3: elected in twenty twenty, the fact that we have our 682 00:34:43,600 --> 00:34:47,680 Speaker 3: first female vice president is huge. Women of both parties 683 00:34:47,680 --> 00:34:49,759 Speaker 3: that I talk to for this book agree that she 684 00:34:49,960 --> 00:34:53,080 Speaker 3: makes it easier for those who come after her simply 685 00:34:53,120 --> 00:34:55,800 Speaker 3: because she goes to work being who she is every 686 00:34:55,840 --> 00:34:59,520 Speaker 3: single day, and it allows the American mindset to see 687 00:34:59,600 --> 00:35:03,760 Speaker 3: female leadership at its highest rungs. Quite frankly, that's also 688 00:35:03,800 --> 00:35:07,040 Speaker 3: something that Speaker Pelosi has done for this country because 689 00:35:07,080 --> 00:35:12,080 Speaker 3: she was elevated first. But I also think that, especially 690 00:35:12,080 --> 00:35:14,279 Speaker 3: if it's Biden and Harris again in twenty twenty four, 691 00:35:14,560 --> 00:35:17,200 Speaker 3: it's going to be really hard for Republicans to just 692 00:35:17,280 --> 00:35:20,080 Speaker 3: nominate another ticket that looks like Trump and Tense, that 693 00:35:20,239 --> 00:35:23,719 Speaker 3: just looks like two older white men. Again. I do 694 00:35:23,800 --> 00:35:26,759 Speaker 3: think that we're now in a place where gender and 695 00:35:27,040 --> 00:35:31,040 Speaker 3: diversity is an asset. And I look at it in 696 00:35:31,400 --> 00:35:35,640 Speaker 3: twenty twenty when Biden chose Harris, I mean the fact 697 00:35:35,640 --> 00:35:38,440 Speaker 3: that he had just consolidated his power, he had just 698 00:35:38,520 --> 00:35:40,719 Speaker 3: won the primary, and he comes out and he says, 699 00:35:40,760 --> 00:35:44,839 Speaker 3: I'm going to choose a woman. To me, it was 700 00:35:45,080 --> 00:35:49,319 Speaker 3: a sign that times had changed, because if you look 701 00:35:49,320 --> 00:35:51,959 Speaker 3: at the last few times that men had selected women 702 00:35:51,960 --> 00:35:54,920 Speaker 3: as their running mates. We're talking about Walter Mondale in 703 00:35:55,000 --> 00:35:58,239 Speaker 3: nineteen eighty four when he chose Geraldine Ferraro and his 704 00:35:58,360 --> 00:36:01,399 Speaker 3: campaign was in the ten. He was not doing well. 705 00:36:01,440 --> 00:36:04,640 Speaker 3: He needed something that could excite his base. They thought, hey, 706 00:36:04,880 --> 00:36:06,880 Speaker 3: we'll do a woman, and it was sort of a 707 00:36:06,920 --> 00:36:09,120 Speaker 3: throw spaghetti at the wall kind of moment, see if 708 00:36:09,120 --> 00:36:12,400 Speaker 3: it sticks. It didn't, but it was also the mindset 709 00:36:12,440 --> 00:36:14,360 Speaker 3: the next time we saw that happen, which was on 710 00:36:14,400 --> 00:36:16,960 Speaker 3: the Republican side. Two thousand and eight, John McCain picking 711 00:36:17,000 --> 00:36:20,439 Speaker 3: Sarah Palin, shocking everybody, but the mindset was the same. 712 00:36:20,560 --> 00:36:23,240 Speaker 3: He was falling behind Obama in the polls. He needed 713 00:36:23,280 --> 00:36:27,160 Speaker 3: something to excite the base. He chose someone who was female, 714 00:36:28,320 --> 00:36:30,560 Speaker 3: who use the phrases like she wanted to finish the 715 00:36:30,600 --> 00:36:33,279 Speaker 3: work that Hillary Clinton had started. Because Clinton ran an 716 00:36:33,440 --> 00:36:36,440 Speaker 3: eight and fell short to Obama. I mean it was 717 00:36:36,640 --> 00:36:39,400 Speaker 3: very throw spaghetti at the wall. See what sticks. Now, 718 00:36:39,480 --> 00:36:44,120 Speaker 3: in twenty twenty, you have Biden purposefully choosing a woman, 719 00:36:44,400 --> 00:36:48,120 Speaker 3: saying that her gender, her lived experience, the different things 720 00:36:48,120 --> 00:36:51,239 Speaker 3: that she brings to the table, our assets. It's not 721 00:36:51,520 --> 00:36:53,560 Speaker 3: just yeah, we'll see what happens. We'll pick a woman. 722 00:36:53,960 --> 00:36:56,439 Speaker 3: It's no, we want to pick a woman. We want 723 00:36:56,480 --> 00:36:59,920 Speaker 3: to pick a woman of color. She provides us drinks 724 00:37:00,080 --> 00:37:03,200 Speaker 3: that we would not otherwise have. That is a really 725 00:37:03,200 --> 00:37:05,680 Speaker 3: big moment of progress and one that it's hard for 726 00:37:05,719 --> 00:37:08,160 Speaker 3: me to see not sticking. And so I do think 727 00:37:08,239 --> 00:37:10,359 Speaker 3: we're going to have a female president, and I do 728 00:37:10,400 --> 00:37:12,640 Speaker 3: think we're going to see more female vice presidents. I 729 00:37:12,640 --> 00:37:14,680 Speaker 3: would love to see both happen at once. That would 730 00:37:14,680 --> 00:37:18,240 Speaker 3: be really cool. But progress is slow, but it's coming. 731 00:37:18,400 --> 00:37:19,319 Speaker 3: I have to believe it. 732 00:37:19,719 --> 00:37:22,400 Speaker 1: I'm happy that you're doing this work of like modeling 733 00:37:22,440 --> 00:37:25,239 Speaker 1: the progress that we have made and signaling to the 734 00:37:25,280 --> 00:37:27,040 Speaker 1: progress that has yet to be made in the future. 735 00:37:27,800 --> 00:37:31,160 Speaker 3: You know, I do think this book came about at 736 00:37:31,200 --> 00:37:35,319 Speaker 3: a dark time for everybody, because the pandemic happened. I 737 00:37:35,440 --> 00:37:38,040 Speaker 3: was asked to do this book in March of twenty twenty, 738 00:37:38,520 --> 00:37:41,960 Speaker 3: and a week later I flew home from being on 739 00:37:42,000 --> 00:37:44,400 Speaker 3: the road with Biden and Ohio and Elizabeth Warren had 740 00:37:44,440 --> 00:37:46,440 Speaker 3: just dropped out and all of us never left our 741 00:37:46,440 --> 00:37:49,080 Speaker 3: houses again for the next few months. So it was 742 00:37:49,120 --> 00:37:51,239 Speaker 3: a dark time, and I remember the only thing that 743 00:37:51,320 --> 00:37:54,000 Speaker 3: I said to my editor was I don't want to 744 00:37:54,040 --> 00:37:55,680 Speaker 3: do this book. If I can't come out in a 745 00:37:55,719 --> 00:37:58,480 Speaker 3: place where I feel optimistic, I can't not find the 746 00:37:58,560 --> 00:38:01,640 Speaker 3: silver linings. I remember some of the early calls that 747 00:38:01,680 --> 00:38:03,840 Speaker 3: I made to some of the smartest sources that I have, 748 00:38:04,320 --> 00:38:06,239 Speaker 3: where I just said, make me feel good about this, 749 00:38:06,800 --> 00:38:09,080 Speaker 3: like it's going to happen, right, Like I feel like 750 00:38:09,120 --> 00:38:11,279 Speaker 3: it's going to happen. Point me to some examples that 751 00:38:11,360 --> 00:38:14,160 Speaker 3: make you feel like it's going to happen. And I 752 00:38:14,200 --> 00:38:16,759 Speaker 3: came out with a lot of examples, and yes, it's 753 00:38:16,800 --> 00:38:20,160 Speaker 3: important to show why it hasn't happened yet and to 754 00:38:21,040 --> 00:38:26,280 Speaker 3: shine a spotlight on moments where unfortunately the isms sexism, racism, 755 00:38:26,320 --> 00:38:29,080 Speaker 3: all of the others won out. But I think once 756 00:38:29,120 --> 00:38:33,160 Speaker 3: you show people that those moments have happened, once you 757 00:38:33,280 --> 00:38:35,879 Speaker 3: see it, you can't stop seeing it. And that's part 758 00:38:35,880 --> 00:38:37,839 Speaker 3: of helping this road to progress too. 759 00:38:39,000 --> 00:38:41,040 Speaker 1: That's so powerful. And Alie, I have to say, and 760 00:38:41,080 --> 00:38:46,640 Speaker 1: not to get to like sappy or whatever, but we 761 00:38:46,719 --> 00:38:48,480 Speaker 1: kind of came up in the in the sort of 762 00:38:48,800 --> 00:38:53,000 Speaker 1: political media space together, and I remember when we were 763 00:38:53,000 --> 00:38:57,040 Speaker 1: working together at MSNBC. You I can just tell that, 764 00:38:57,160 --> 00:39:01,160 Speaker 1: like you were going to be a real mover and 765 00:39:01,200 --> 00:39:02,200 Speaker 1: shaker in the space. 766 00:39:02,280 --> 00:39:05,680 Speaker 2: And so watching you like you were on the campaign trail. 767 00:39:05,480 --> 00:39:07,239 Speaker 1: You were like, I follow you on Instagram and I 768 00:39:07,239 --> 00:39:10,080 Speaker 1: see these images of you, like you know, setting up 769 00:39:11,200 --> 00:39:13,960 Speaker 1: producing like shots and setting up shots like talking like 770 00:39:14,360 --> 00:39:18,120 Speaker 1: you are in it, and watching this trajectory has been 771 00:39:18,239 --> 00:39:21,160 Speaker 1: really incredible and powerful. It's like I can't help but 772 00:39:21,239 --> 00:39:24,040 Speaker 1: wonder how many little girls, Like when I was a kid, 773 00:39:24,080 --> 00:39:26,200 Speaker 1: I used to watch Gwen Eifel on TV and be 774 00:39:26,320 --> 00:39:28,080 Speaker 1: like I could be her someday, And I wonder, like, 775 00:39:28,480 --> 00:39:30,840 Speaker 1: are you the Gwen Eifel for a new generation of 776 00:39:30,880 --> 00:39:33,520 Speaker 1: which finding their voice in political media? 777 00:39:33,680 --> 00:39:34,439 Speaker 2: I say yes. 778 00:39:35,760 --> 00:39:38,319 Speaker 3: First of all, you just gave me chills. Second of all, 779 00:39:38,719 --> 00:39:43,279 Speaker 3: my god, immeasurable, immeasurable goals for me to put up. 780 00:39:43,400 --> 00:39:45,640 Speaker 3: I mean, my God. But I think about it too 781 00:39:45,719 --> 00:39:49,360 Speaker 3: as like there's just more of us now, right, Like 782 00:39:49,440 --> 00:39:52,759 Speaker 3: there are just more women who are out there who 783 00:39:52,800 --> 00:39:57,240 Speaker 3: are empowered to be experts, who are empowered to ask good, 784 00:39:57,400 --> 00:40:02,000 Speaker 3: tough questions. I think that's good for everybody. I mean, 785 00:40:02,080 --> 00:40:06,120 Speaker 3: I love looking around and seeing in a scrum or 786 00:40:06,120 --> 00:40:09,160 Speaker 3: in a gaggle when I'm with a candidate, like a 787 00:40:09,280 --> 00:40:12,640 Speaker 3: bunch of other women around me. I think that that 788 00:40:12,840 --> 00:40:15,680 Speaker 3: is just such an amazing thing. And I love it 789 00:40:15,719 --> 00:40:18,080 Speaker 3: even more when it's a female candidate. It's the center 790 00:40:18,120 --> 00:40:22,240 Speaker 3: of it. But I mean, yeah, you and I both, 791 00:40:22,320 --> 00:40:27,960 Speaker 3: I think, have really climbed through our industries. And I 792 00:40:28,000 --> 00:40:30,239 Speaker 3: think about the way that we first met too. I mean, right, 793 00:40:30,320 --> 00:40:35,440 Speaker 3: we were doing a shoot for Liz Plank. Right, Liz 794 00:40:35,520 --> 00:40:40,600 Speaker 3: Plank brought us all together the Queen to talk about 795 00:40:41,360 --> 00:40:45,040 Speaker 3: hate online and like the nasty things that people said 796 00:40:45,080 --> 00:40:47,760 Speaker 3: to us, and it sort of brings us full circle 797 00:40:47,840 --> 00:40:51,120 Speaker 3: a little bit too, right, because we were there trying 798 00:40:51,160 --> 00:40:55,680 Speaker 3: to reclaim some of the nasty words that people were 799 00:40:55,680 --> 00:40:59,600 Speaker 3: throwing at us, just simply for being smart and female 800 00:40:59,640 --> 00:41:02,480 Speaker 3: and a line. Right. Thankfully, there are girls on the 801 00:41:02,480 --> 00:41:05,279 Speaker 3: internet now, right who can have each other's back and like, 802 00:41:05,760 --> 00:41:09,960 Speaker 3: you know, not not let that stuff just go unchecked. 803 00:41:09,960 --> 00:41:12,840 Speaker 3: But like that's how we met. We met by calling 804 00:41:12,880 --> 00:41:17,239 Speaker 3: out sexism online. And now you get to be a 805 00:41:17,280 --> 00:41:20,200 Speaker 3: proof point that like it's not just dudes in a 806 00:41:20,239 --> 00:41:24,760 Speaker 3: toxic environment, like it's women are here and making it better, 807 00:41:24,880 --> 00:41:27,799 Speaker 3: which I would argue is just happening all over. 808 00:41:29,239 --> 00:41:30,880 Speaker 2: I mentioned it at the start of the show. 809 00:41:31,200 --> 00:41:32,600 Speaker 1: But the team here at There Are No Girls on 810 00:41:32,640 --> 00:41:35,600 Speaker 1: the Internet is celebrating International Women's Day this week. For 811 00:41:35,760 --> 00:41:39,120 Speaker 1: more programming honoring the incredible women of the network and worldwide, 812 00:41:39,400 --> 00:41:43,080 Speaker 1: head to iHeart Podcasts International Women's Day feed by searching 813 00:41:43,160 --> 00:41:45,480 Speaker 1: women Take the Mic. Wherever you look for your podcasts. 814 00:41:46,080 --> 00:41:49,040 Speaker 1: We're featured along shows that I love, like Therapy for 815 00:41:49,080 --> 00:41:51,719 Speaker 1: Black Girls and others that's women. 816 00:41:51,480 --> 00:41:52,000 Speaker 2: Take the Mic. 817 00:41:52,040 --> 00:41:54,600 Speaker 1: I mean iHeartRadio app or wherever you get your podcasts. 818 00:41:59,000 --> 00:42:01,040 Speaker 1: Got a story about an in thing in tech, or 819 00:42:01,120 --> 00:42:03,000 Speaker 1: just want to say hi. You can reach us at 820 00:42:03,000 --> 00:42:05,719 Speaker 1: Hello at tangody dot com. You can also find transcripts 821 00:42:05,719 --> 00:42:08,160 Speaker 1: for today's episode at tengody dot com. There Are No 822 00:42:08,239 --> 00:42:10,279 Speaker 1: Girls on the Internet was created by me Bridget Todd. 823 00:42:10,680 --> 00:42:14,120 Speaker 1: It's a production of iHeartRadio and Unbossed Creative. Jonathan Strickland 824 00:42:14,160 --> 00:42:16,840 Speaker 1: is our executive producer. Tari Harrison is our producer and 825 00:42:16,920 --> 00:42:20,680 Speaker 1: sound engineer. Michael Amado is our contributing producer. I'm your host, 826 00:42:20,680 --> 00:42:23,480 Speaker 1: Bridget Todd. If you want to help us grow, rate 827 00:42:23,520 --> 00:42:27,279 Speaker 1: and review us on Apple Podcasts. For more podcasts from iHeartRadio, 828 00:42:27,360 --> 00:42:29,680 Speaker 1: check out the iHeartRadio app, Apple podcast, or wherever you 829 00:42:29,760 --> 00:42:30,640 Speaker 1: get your podcasts.