1 00:00:05,280 --> 00:00:06,840 Speaker 1: Hey, this is Anny and Samantha. 2 00:00:06,880 --> 00:00:08,520 Speaker 2: I'm welcome to stuff I Never told you prediction of 3 00:00:08,520 --> 00:00:21,840 Speaker 2: iHeartRadio and because of some topics we're going to discuss 4 00:00:22,720 --> 00:00:25,599 Speaker 2: around the election and things that are happening here in 5 00:00:25,640 --> 00:00:28,360 Speaker 2: the United States. We had a couple of classics we 6 00:00:28,400 --> 00:00:31,479 Speaker 2: wanted to bring back. This is one and it was 7 00:00:31,640 --> 00:00:35,839 Speaker 2: something we did with bridget around disinformation and the Supreme Court, 8 00:00:36,280 --> 00:00:40,960 Speaker 2: and the Supreme Court has become a huge topic of 9 00:00:41,159 --> 00:00:47,760 Speaker 2: conversation with suggestions about how to change it corruption allegations 10 00:00:47,800 --> 00:00:55,400 Speaker 2: which are but this episode was when Supreme Court Justice 11 00:00:55,440 --> 00:01:00,680 Speaker 2: Kaitanji Brown Jackson had just been nominated, So it is 12 00:01:00,720 --> 00:01:02,760 Speaker 2: a little dated in that way, but I think that 13 00:01:02,880 --> 00:01:08,920 Speaker 2: conversation within is very relevant still, right, Yeah, so we 14 00:01:08,959 --> 00:01:10,160 Speaker 2: want to bring this one back. 15 00:01:10,800 --> 00:01:11,520 Speaker 3: Please enjoy. 16 00:01:17,200 --> 00:01:19,560 Speaker 2: Hey, this is Annie, Hey Samantha, and welcome to Steph 17 00:01:19,600 --> 00:01:30,880 Speaker 2: I've Never told you a production of iHeartRadio. Today, we 18 00:01:30,920 --> 00:01:35,200 Speaker 2: are once again thrilled to be joined by the amazing. 19 00:01:35,400 --> 00:01:40,880 Speaker 4: Award winning, fantastic Bridget Todd, who we count ourselves so 20 00:01:41,000 --> 00:01:46,120 Speaker 4: lucky to know and call our friend. Congratulations Bridgid on 21 00:01:46,160 --> 00:01:50,240 Speaker 4: your recent award for Best Technology Podcast at the iHeartRadio 22 00:01:50,400 --> 00:01:52,160 Speaker 4: Podcast awards well deserved. 23 00:01:52,240 --> 00:01:55,440 Speaker 2: That's so awesome. Congratulations to you and your whole team. 24 00:01:55,880 --> 00:01:57,600 Speaker 5: Oh my goodness, thank you so much. 25 00:01:58,160 --> 00:02:00,000 Speaker 6: Yeah, you know what I'm going to say. It feel 26 00:02:00,240 --> 00:02:03,840 Speaker 6: was freaking good to win. I was kind of like, oh, like, 27 00:02:04,080 --> 00:02:07,040 Speaker 6: you know, just being nominated is nice, but I deep 28 00:02:07,120 --> 00:02:09,560 Speaker 6: down kind of you ever have one of those times 29 00:02:09,600 --> 00:02:11,320 Speaker 6: in your life where you just really need a win. 30 00:02:12,200 --> 00:02:13,160 Speaker 5: That's where I was at. 31 00:02:13,200 --> 00:02:16,880 Speaker 6: So I have to like briefly shout out my team. 32 00:02:17,120 --> 00:02:21,080 Speaker 6: Tari Harrison is my producer and engineer. She's phenomenally talented. 33 00:02:21,520 --> 00:02:25,840 Speaker 6: Jonathan Strickland is our EP, phenomenally talented doctor. Michael Lomato 34 00:02:25,960 --> 00:02:29,000 Speaker 6: is our chief science officer and producer. 35 00:02:29,160 --> 00:02:29,880 Speaker 5: So talented. 36 00:02:30,360 --> 00:02:34,400 Speaker 6: I could not have one without them. They're so awesome. Yes, 37 00:02:34,400 --> 00:02:35,000 Speaker 6: so thank you. 38 00:02:35,800 --> 00:02:37,079 Speaker 3: Yes, Yeah, I. 39 00:02:37,080 --> 00:02:41,480 Speaker 1: Love a win, especially when it's our personal friends. Yeah, 40 00:02:41,520 --> 00:02:42,000 Speaker 1: I said it. 41 00:02:42,280 --> 00:02:43,639 Speaker 3: I'm claiming you as a personal friend. 42 00:02:44,160 --> 00:02:45,920 Speaker 1: I know, Bridget thank you. 43 00:02:46,520 --> 00:02:48,160 Speaker 6: I mean I feel the same way about you. I 44 00:02:49,000 --> 00:02:52,240 Speaker 6: feel very honored to know you all in real life. 45 00:02:53,200 --> 00:02:54,240 Speaker 4: Yes. Yes. 46 00:02:54,800 --> 00:02:57,120 Speaker 2: And in case you don't know, listeners, which I'm assuming 47 00:02:57,160 --> 00:02:59,040 Speaker 2: you do, this was for the podcast. There are no 48 00:02:59,120 --> 00:03:01,799 Speaker 2: girls on the internet, which is you've got a new 49 00:03:01,800 --> 00:03:02,680 Speaker 2: season coming right. 50 00:03:02,760 --> 00:03:04,480 Speaker 6: Yes, yeah, I probably should have had the name of 51 00:03:04,520 --> 00:03:08,560 Speaker 6: my own podcast. No, I'm I'm trying to get better 52 00:03:08,600 --> 00:03:11,520 Speaker 6: at like self promotion. Yes, the podcast is called There 53 00:03:11,520 --> 00:03:13,320 Speaker 6: Are No Girls on the Internet. We just won an 54 00:03:13,360 --> 00:03:16,000 Speaker 6: iHeart Award and we're coming back for a brand new 55 00:03:16,080 --> 00:03:19,640 Speaker 6: season on March first. So we've kind of been on 56 00:03:19,720 --> 00:03:21,919 Speaker 6: hiatus for a bit while we've been retooling, and I'm 57 00:03:22,000 --> 00:03:24,440 Speaker 6: so excited that we're finally launching. So it would mean 58 00:03:24,480 --> 00:03:26,040 Speaker 6: a lot to me if y'all checked it out. Thank 59 00:03:26,080 --> 00:03:29,360 Speaker 6: you for mentioning and Annie, I obviously cannot be trusted 60 00:03:29,440 --> 00:03:31,840 Speaker 6: to remember to say the name of the thing I 61 00:03:31,919 --> 00:03:34,639 Speaker 6: meant to be promoting, but yeah, please check it out. 62 00:03:34,680 --> 00:03:37,880 Speaker 6: We have all kinds of interesting conversations about how women 63 00:03:38,160 --> 00:03:40,480 Speaker 6: and queer folks and trans folks and black folks and 64 00:03:40,600 --> 00:03:43,400 Speaker 6: other marginalized voices, how we show up or don't show 65 00:03:43,480 --> 00:03:46,840 Speaker 6: up online and in technology. So uh yeah, please check 66 00:03:46,840 --> 00:03:49,040 Speaker 6: it out. If that sounds like something you're interested. 67 00:03:48,640 --> 00:03:51,160 Speaker 2: In, you absolutely should. I'm still waiting for the fan 68 00:03:51,200 --> 00:03:51,880 Speaker 2: fiction episode. 69 00:03:51,920 --> 00:03:52,400 Speaker 3: I'm ready. 70 00:03:52,840 --> 00:03:54,400 Speaker 5: Oh yes tbd. 71 00:03:55,520 --> 00:03:56,840 Speaker 3: Also just a fun. 72 00:03:56,600 --> 00:03:58,800 Speaker 2: Fact about Tari, who's also a good friend of ours. 73 00:03:59,000 --> 00:04:02,720 Speaker 2: She always seeing sitcom jingles at karaoke. Yeah, it's the 74 00:04:02,760 --> 00:04:04,040 Speaker 2: thing I adore about. 75 00:04:03,840 --> 00:04:08,440 Speaker 1: Her and she refuses to sing anything else and when 76 00:04:08,440 --> 00:04:12,160 Speaker 1: someone interrupts her, she gets very annoyed. Rightly so, because 77 00:04:12,200 --> 00:04:15,120 Speaker 1: this is her thing and she wants it and has 78 00:04:15,160 --> 00:04:16,960 Speaker 1: claimed it and has done well with it. 79 00:04:17,880 --> 00:04:18,520 Speaker 5: How did I not? 80 00:04:18,640 --> 00:04:20,479 Speaker 6: How have I worked with Tari for two years and 81 00:04:20,520 --> 00:04:22,599 Speaker 6: have not? I mean, I guess covid as hell, But yeah, 82 00:04:22,640 --> 00:04:24,479 Speaker 6: I know this. I need to take her out there 83 00:04:24,520 --> 00:04:25,160 Speaker 6: for karaoke. 84 00:04:25,480 --> 00:04:27,000 Speaker 5: Please to see this in action. 85 00:04:27,640 --> 00:04:29,560 Speaker 1: Oh you know what, what's a better bridget? We need 86 00:04:29,560 --> 00:04:32,760 Speaker 1: you to come to Atlanta and hosts a big karaoke night. 87 00:04:33,240 --> 00:04:36,599 Speaker 1: There's several great locations that we love, including my favorite 88 00:04:36,600 --> 00:04:40,360 Speaker 1: spot towards Beeford Highway, ran by a Korean family who 89 00:04:40,440 --> 00:04:42,719 Speaker 1: was as Korean as you think, and we adore them 90 00:04:43,160 --> 00:04:45,560 Speaker 1: and they bring us fruit. Place is a delight while 91 00:04:45,560 --> 00:04:48,040 Speaker 1: we sing karaoke to our hearts content. 92 00:04:48,240 --> 00:04:50,680 Speaker 5: Yeah, so please put that on the agenda. The last 93 00:04:50,680 --> 00:04:53,560 Speaker 5: time I was in Atlanta, I went to what is 94 00:04:53,600 --> 00:04:59,080 Speaker 5: that spot called Church of car Church. There was some 95 00:04:59,160 --> 00:05:00,640 Speaker 5: karaoke happening. It was pretty fun. 96 00:05:00,680 --> 00:05:04,279 Speaker 6: So yeah, Atlanta karaoke date literally anytime I am in. 97 00:05:04,520 --> 00:05:08,040 Speaker 6: I need to see producer Tari in action singing these jingles. 98 00:05:08,320 --> 00:05:11,599 Speaker 3: It's the best one time. And she's like, we're singing 99 00:05:11,640 --> 00:05:15,760 Speaker 3: cheers together. Okay, I love it. 100 00:05:15,800 --> 00:05:16,159 Speaker 4: I love it. 101 00:05:16,200 --> 00:05:18,280 Speaker 3: I love it, I love it. Okay. 102 00:05:18,360 --> 00:05:21,400 Speaker 2: So this topic you're bringing to us today, Bridget, is 103 00:05:21,520 --> 00:05:25,720 Speaker 2: extremely timely. We're very excited to talk about it, and 104 00:05:25,760 --> 00:05:27,800 Speaker 2: we have a lot to get into. So let's let's 105 00:05:27,800 --> 00:05:29,559 Speaker 2: get into it. What are we talking about today? 106 00:05:29,720 --> 00:05:33,039 Speaker 6: So today is Friday, February twenty fifth, twenty twenty two, 107 00:05:33,279 --> 00:05:37,520 Speaker 6: and I want to talk about the just recently announced 108 00:05:37,680 --> 00:05:42,480 Speaker 6: new nominee for the Supreme Court, Judge Katanji Brown Jackson. 109 00:05:42,560 --> 00:05:44,960 Speaker 6: So I have to admit I was putting together all 110 00:05:44,960 --> 00:05:47,560 Speaker 6: my notes for this episode last night, and so the 111 00:05:47,640 --> 00:05:50,760 Speaker 6: notes were all like, oh, the potential nominee, like when we. 112 00:05:50,720 --> 00:05:52,920 Speaker 5: Have the nominee. It was all very like hypothetical. 113 00:05:53,000 --> 00:05:55,760 Speaker 6: And then this morning the news just dropped that she 114 00:05:55,920 --> 00:05:59,520 Speaker 6: is indeed the White House's pick to be the first 115 00:05:59,600 --> 00:06:02,880 Speaker 6: ever black women Supreme Court justice on our Supreme Court. 116 00:06:02,960 --> 00:06:06,640 Speaker 6: So very historic, very important, very exciting. But we know 117 00:06:06,720 --> 00:06:10,839 Speaker 6: that it also comes along with racist attacks, sexist attacks, 118 00:06:10,920 --> 00:06:14,480 Speaker 6: miss and disinformation that women of color who are in 119 00:06:14,520 --> 00:06:18,880 Speaker 6: public office unfortunately tend to face and so today I 120 00:06:18,920 --> 00:06:20,719 Speaker 6: really wanted to talk about how we got to this 121 00:06:20,800 --> 00:06:23,880 Speaker 6: place of having this historic black woman being nominated for 122 00:06:23,880 --> 00:06:26,840 Speaker 6: the Supreme Court, and what kind of attacks she's likely 123 00:06:26,880 --> 00:06:29,040 Speaker 6: to be facing, what kind of attacks she's already been facing, 124 00:06:29,040 --> 00:06:31,120 Speaker 6: and how we can sort of all work together to 125 00:06:31,160 --> 00:06:35,400 Speaker 6: create the conditions to have a better conversation about her nomination. 126 00:06:35,880 --> 00:06:40,720 Speaker 2: Yes, and as you said, this is very ongoing. We're 127 00:06:40,720 --> 00:06:42,560 Speaker 2: trying to get this episode out as quickly as possible 128 00:06:42,560 --> 00:06:44,080 Speaker 2: because things are changing very quickly. 129 00:06:44,839 --> 00:06:47,000 Speaker 3: But we've already seen some of these attacks. 130 00:06:47,040 --> 00:06:48,679 Speaker 2: I know we're going to get into that in a minute, 131 00:06:48,680 --> 00:06:50,400 Speaker 2: but before we do that, can you give us some 132 00:06:51,120 --> 00:06:54,480 Speaker 2: history and background on what's going on here? 133 00:06:54,680 --> 00:06:57,120 Speaker 6: Absolutely, So here's a little bit of background about the 134 00:06:57,120 --> 00:06:59,160 Speaker 6: calls to nominate a black women for the Supreme Court. 135 00:06:59,520 --> 00:07:02,360 Speaker 6: I have to shout out that she will rise. Campaign 136 00:07:02,440 --> 00:07:06,160 Speaker 6: organized by a great organization called Cistuscotus, and their whole 137 00:07:06,160 --> 00:07:10,600 Speaker 6: coalition is full of dynamic black women, women like April Rain, 138 00:07:10,680 --> 00:07:14,360 Speaker 6: who created the hashtag oscar so white sixteen nineteen project 139 00:07:14,400 --> 00:07:17,560 Speaker 6: creator Nicole Hannah Jones Alencia Johnson, who I love, I 140 00:07:17,600 --> 00:07:20,960 Speaker 6: used to work with her at Planned Parenthood Broadway Multi 141 00:07:21,040 --> 00:07:24,800 Speaker 6: Tony Award winner Audra McDonald. So, just a huge coalition 142 00:07:25,000 --> 00:07:28,880 Speaker 6: of dynamic, badass black women who have been advocating to 143 00:07:28,960 --> 00:07:31,120 Speaker 6: put a black woman on the Supreme Court. And so 144 00:07:31,400 --> 00:07:34,320 Speaker 6: in the over two hundred year history of the Supreme Court, 145 00:07:34,600 --> 00:07:37,680 Speaker 6: not one black woman has ever been confirmed or even 146 00:07:37,800 --> 00:07:40,240 Speaker 6: nominated to serve on the Supreme Court. There have been 147 00:07:40,280 --> 00:07:42,480 Speaker 6: one hundred and fifteen men and women who have served 148 00:07:42,480 --> 00:07:44,320 Speaker 6: on the Supreme Court, and only three of them have 149 00:07:44,360 --> 00:07:46,880 Speaker 6: been people of color. There have only been two Black 150 00:07:46,920 --> 00:07:49,920 Speaker 6: American members of the Supreme Court, Justice through Good Marshall 151 00:07:50,000 --> 00:07:53,400 Speaker 6: and Justice Clarence Thomas. And so that's obviously not a 152 00:07:53,520 --> 00:07:57,800 Speaker 6: very inclusive track record in terms of representation. And you know, 153 00:07:58,120 --> 00:08:00,520 Speaker 6: this idea of I thought this this was kind of 154 00:08:00,520 --> 00:08:04,160 Speaker 6: a new president, you know, a presidential candidate saying like, oh, 155 00:08:04,200 --> 00:08:06,280 Speaker 6: if I'm elected, I will put this kind of person 156 00:08:06,320 --> 00:08:09,240 Speaker 6: on the Supreme Court. However, there is actually a long 157 00:08:09,640 --> 00:08:12,960 Speaker 6: history and precedent for presidents pedging to pick a Scotist 158 00:08:12,960 --> 00:08:16,160 Speaker 6: nominee who represents a certain demographic of our population. So 159 00:08:16,200 --> 00:08:18,240 Speaker 6: this is from a really great New York Times out 160 00:08:18,400 --> 00:08:21,200 Speaker 6: ed by Walter Dellinger, who was the acting Solicitor General 161 00:08:21,240 --> 00:08:23,360 Speaker 6: of the United States under Bill Clinton. 162 00:08:23,680 --> 00:08:26,520 Speaker 5: He writes, there is a long and important. 163 00:08:26,120 --> 00:08:30,000 Speaker 6: Tradition of presidents taking into consideration the demographic characteristics of 164 00:08:30,080 --> 00:08:34,400 Speaker 6: prospective justices, including geographic background, religion, race, and sex, to 165 00:08:34,600 --> 00:08:37,960 Speaker 6: ensure the Supreme Court is and remains a representative institution 166 00:08:38,160 --> 00:08:40,360 Speaker 6: in touch with the very facets of American life. 167 00:08:40,480 --> 00:08:41,760 Speaker 5: More fundamentally, our. 168 00:08:41,720 --> 00:08:44,600 Speaker 6: History shows the process of reaching out to expand the 169 00:08:44,600 --> 00:08:48,439 Speaker 6: personal backgrounds of the justices has often produced stellar jurists 170 00:08:48,600 --> 00:08:51,680 Speaker 6: who make historic contributions to our court and judicial system. 171 00:08:52,120 --> 00:08:54,959 Speaker 6: So he goes on to describe how President Reagan promised 172 00:08:54,960 --> 00:08:57,280 Speaker 6: to nominate a woman of the Supreme Court, and even 173 00:08:57,320 --> 00:08:59,839 Speaker 6: though a bunch of his Republican colleagues were very v 174 00:09:00,320 --> 00:09:02,760 Speaker 6: against it and kind of forced him to add some 175 00:09:02,880 --> 00:09:06,440 Speaker 6: men to his shortlist, President Reagan was really adamant about 176 00:09:06,480 --> 00:09:09,679 Speaker 6: picking a woman and eventually nominated Sandra de O'Connor, making 177 00:09:09,720 --> 00:09:12,679 Speaker 6: for the first ever female Associate Supreme Court justice. 178 00:09:12,920 --> 00:09:16,000 Speaker 5: And so that's some history that I didn't even know about. 179 00:09:16,280 --> 00:09:19,000 Speaker 6: You know, how other presidents have set this president to 180 00:09:19,080 --> 00:09:21,000 Speaker 6: make the Supreme Court more inclusive. 181 00:09:21,360 --> 00:09:25,000 Speaker 2: Yeah, and I think. I mean, it's kind of a 182 00:09:25,040 --> 00:09:28,840 Speaker 2: waste of breath to call a lot of news organizations 183 00:09:28,880 --> 00:09:31,679 Speaker 2: and Republicans perhaps if they're critical, but they would have you. 184 00:09:31,640 --> 00:09:34,520 Speaker 3: Believe that this is a new thing, like, oh, this is. 185 00:09:34,520 --> 00:09:40,680 Speaker 2: Never happen before, and it's ridiculous, right, And this is 186 00:09:40,800 --> 00:09:44,679 Speaker 2: not just an issue of representation, correct. 187 00:09:44,600 --> 00:09:49,079 Speaker 6: Absolutely, so representation is important. People often say like, representation matters, 188 00:09:49,120 --> 00:09:50,120 Speaker 6: and it absolutely does. 189 00:09:50,240 --> 00:09:51,920 Speaker 5: I'm not, you know, disagreeing with that. 190 00:09:52,240 --> 00:09:55,719 Speaker 6: However, it's not just a problem because representation matters. It's 191 00:09:55,760 --> 00:09:59,439 Speaker 6: also a problem because we deserve a representative democracy, a 192 00:09:59,480 --> 00:10:02,680 Speaker 6: democracy with the people who are governing actually are able 193 00:10:02,720 --> 00:10:05,680 Speaker 6: to meaningfully represent the people they are governing on behalf of. 194 00:10:06,080 --> 00:10:09,040 Speaker 6: And you can't have that if your Supreme Court is 195 00:10:09,120 --> 00:10:12,440 Speaker 6: mostly men, mostly white, because then you have a Supreme 196 00:10:12,480 --> 00:10:16,840 Speaker 6: Court is not actually able to you know, meaningfully represent 197 00:10:16,920 --> 00:10:19,120 Speaker 6: the people they're meant to be advocating on behalf of, 198 00:10:19,240 --> 00:10:22,079 Speaker 6: or working on behalf of. A biographical database from the 199 00:10:22,120 --> 00:10:25,640 Speaker 6: Federal Judicial Center shows that of the three eight hundred 200 00:10:25,640 --> 00:10:28,680 Speaker 6: and forty three federal judges, less than two percent have 201 00:10:28,760 --> 00:10:30,920 Speaker 6: been black women. And so again it's not just the 202 00:10:30,960 --> 00:10:33,240 Speaker 6: Supreme Court. It really does go to show that we 203 00:10:33,320 --> 00:10:35,120 Speaker 6: have a long way to go in making sure that 204 00:10:35,120 --> 00:10:38,120 Speaker 6: the people who are actually representing us in the courts 205 00:10:38,480 --> 00:10:41,520 Speaker 6: actually are able to meaningfully represent us and like look 206 00:10:41,640 --> 00:10:43,600 Speaker 6: like the population that they're actually meant to serve. 207 00:10:44,040 --> 00:10:48,560 Speaker 2: Yes, yes, And I think right now a lot of us, 208 00:10:48,720 --> 00:10:51,640 Speaker 2: for good reason, I would say, are on edge when 209 00:10:51,679 --> 00:10:54,760 Speaker 2: it comes to the Supreme Court and decisions that they're 210 00:10:55,679 --> 00:10:59,120 Speaker 2: tackling or thinking about, including abortion. So this is very, 211 00:10:59,240 --> 00:11:03,640 Speaker 2: very very important that we are representing accurately our country, 212 00:11:03,720 --> 00:11:20,480 Speaker 2: the people in our country. So can we talk a 213 00:11:20,520 --> 00:11:25,560 Speaker 2: little bit about the promise Biden made when it comes 214 00:11:25,640 --> 00:11:27,640 Speaker 2: to nominating a black woman to the Supreme Court. 215 00:11:27,960 --> 00:11:30,840 Speaker 5: Absolutely, So this is one of those instances. 216 00:11:30,320 --> 00:11:35,440 Speaker 6: Where Biden made a very clear campaign promise. Certainly the 217 00:11:35,480 --> 00:11:39,040 Speaker 6: administration has made other campaign promises and tbd if they 218 00:11:39,080 --> 00:11:41,400 Speaker 6: will come to fruition, but this was a very clear one. 219 00:11:41,440 --> 00:11:43,200 Speaker 6: So this is sort of making good on a very 220 00:11:43,360 --> 00:11:46,040 Speaker 6: exuplicit promise. You might hear black women referred to as 221 00:11:46,040 --> 00:11:48,640 Speaker 6: the backbone of the Democratic Party, and that's because we 222 00:11:48,679 --> 00:11:52,160 Speaker 6: are reliable voters who tend to vote Democrat, and we 223 00:11:52,240 --> 00:11:54,760 Speaker 6: tend to go out there and organize our friends and 224 00:11:54,800 --> 00:11:57,439 Speaker 6: our family and our communities to also vote as well. 225 00:11:57,920 --> 00:11:59,880 Speaker 6: If you look at the numbers, you know, black women, 226 00:12:00,000 --> 00:12:02,079 Speaker 6: but I think it was like less than one percent 227 00:12:02,080 --> 00:12:03,400 Speaker 6: of Black women voted for Trump. 228 00:12:03,440 --> 00:12:04,760 Speaker 5: So we pretty much we are. 229 00:12:05,120 --> 00:12:10,199 Speaker 6: Pretty reliable voters for the Democrats. Has helped them it 230 00:12:10,280 --> 00:12:13,319 Speaker 6: that way, and an overwhelming majority of Black women, I 231 00:12:13,320 --> 00:12:15,960 Speaker 6: think it was ninety three percent supported Biden during his 232 00:12:16,000 --> 00:12:18,920 Speaker 6: presidential bid in twenty twenty, right before voting began in 233 00:12:18,960 --> 00:12:22,280 Speaker 6: South Carolina, during South Carolina's primary, Biden made a very 234 00:12:22,360 --> 00:12:24,920 Speaker 6: clear campaign promise to nominate a black woman to the 235 00:12:24,920 --> 00:12:29,640 Speaker 6: Supreme Court. And so yeah, this was a very clear 236 00:12:29,720 --> 00:12:33,720 Speaker 6: promise that he made to a constituency that is reliable, 237 00:12:34,000 --> 00:12:36,560 Speaker 6: that is really did a lot of the work and 238 00:12:36,600 --> 00:12:38,880 Speaker 6: a lot of the ground game of getting out the 239 00:12:38,960 --> 00:12:41,600 Speaker 6: vote and organizing our communities to get out the vote 240 00:12:41,600 --> 00:12:42,480 Speaker 6: as well. 241 00:12:42,559 --> 00:12:45,760 Speaker 2: Right, and going back to what you mentioned, when it 242 00:12:45,800 --> 00:12:51,000 Speaker 2: comes to all of these sexist, racist attacks that a 243 00:12:51,040 --> 00:12:53,200 Speaker 2: lot of women and women of color, and especially black 244 00:12:53,240 --> 00:12:57,079 Speaker 2: women face when it comes to elections like this or 245 00:12:57,120 --> 00:13:01,520 Speaker 2: nominations like this, and then also misinformation and information, it's 246 00:13:01,520 --> 00:13:04,120 Speaker 2: one thing to kind of say that, like, Okay, let's 247 00:13:04,120 --> 00:13:07,040 Speaker 2: elect a black woman and then another to provide the 248 00:13:07,160 --> 00:13:08,880 Speaker 2: necessary support. 249 00:13:09,720 --> 00:13:10,400 Speaker 5: Absolutely. 250 00:13:10,480 --> 00:13:12,679 Speaker 6: So you know, we hear like I have a shirt 251 00:13:12,720 --> 00:13:15,800 Speaker 6: that says trust black women. You know, we hear a 252 00:13:15,800 --> 00:13:18,560 Speaker 6: lot of slogans about, you know, the importance of electing 253 00:13:18,600 --> 00:13:21,400 Speaker 6: black women and really amplifying our political leadership. 254 00:13:21,720 --> 00:13:25,120 Speaker 5: And again, I feel like that that is great. Representation 255 00:13:25,240 --> 00:13:25,800 Speaker 5: is so great. 256 00:13:26,080 --> 00:13:29,439 Speaker 6: However, it really does need to go along with the 257 00:13:29,480 --> 00:13:32,199 Speaker 6: work of creating the condition so these these women will 258 00:13:32,240 --> 00:13:34,840 Speaker 6: be supported that they're not it's going to be you know, 259 00:13:35,600 --> 00:13:41,040 Speaker 6: fodder for unfair, sexist, racist attacks purely based on their 260 00:13:41,080 --> 00:13:44,040 Speaker 6: identity who they are. And so I don't want to 261 00:13:44,280 --> 00:13:47,640 Speaker 6: just have black women, or women or women of color. 262 00:13:47,760 --> 00:13:50,280 Speaker 6: I don't want to just have us be amplified as 263 00:13:50,360 --> 00:13:52,880 Speaker 6: leaders if we're going to be set up to fail, 264 00:13:53,000 --> 00:13:54,640 Speaker 6: if we're going to be set up to compete in 265 00:13:54,679 --> 00:13:59,679 Speaker 6: a completely unequal playing field. I want to amplify the 266 00:13:59,760 --> 00:14:02,880 Speaker 6: leader readership of women. But I also want to create 267 00:14:02,880 --> 00:14:03,920 Speaker 6: the conditions. 268 00:14:03,440 --> 00:14:05,160 Speaker 5: That we actually can thrive. 269 00:14:05,760 --> 00:14:07,319 Speaker 6: And so I think that that's really what I want 270 00:14:07,320 --> 00:14:08,359 Speaker 6: to get into today. 271 00:14:08,120 --> 00:14:11,079 Speaker 5: About some of the ways that our media. 272 00:14:11,000 --> 00:14:14,400 Speaker 6: Landscape are kind of set up to ensure that this 273 00:14:14,440 --> 00:14:17,480 Speaker 6: person will not get a fair shake I have to say, 274 00:14:17,480 --> 00:14:20,240 Speaker 6: like I wasn't really thrilled watching Jinzaki from the White 275 00:14:20,280 --> 00:14:23,360 Speaker 6: House kind of give this tepid acknowledgment of the kind 276 00:14:23,400 --> 00:14:26,560 Speaker 6: of racism and sexism that would go along with picking 277 00:14:26,560 --> 00:14:28,880 Speaker 6: a black woman for the Supreme Court nominee. She said 278 00:14:28,880 --> 00:14:31,000 Speaker 6: that Biden's intention to pick a black woman for the 279 00:14:31,000 --> 00:14:35,320 Speaker 6: Supreme Court presented quote specific challenges, But in my opinion, 280 00:14:35,360 --> 00:14:38,480 Speaker 6: that really doesn't go far enough in naming and lifting 281 00:14:38,560 --> 00:14:41,760 Speaker 6: up the kind of racist, sexist attacks and media climate 282 00:14:41,800 --> 00:14:43,640 Speaker 6: that are setting this person up to face. 283 00:14:44,080 --> 00:14:45,520 Speaker 5: And that can really be tricky. 284 00:14:45,240 --> 00:14:47,920 Speaker 6: Because, as I'm sure a lot of people listening can 285 00:14:47,960 --> 00:14:51,880 Speaker 6: probably attest to, it can be sometimes difficult to call 286 00:14:51,920 --> 00:14:55,080 Speaker 6: out the kind of unfair attacks that we face as 287 00:14:55,080 --> 00:14:58,320 Speaker 6: marginalized people. So if you're a woman who is facing sexism, 288 00:14:58,640 --> 00:15:01,880 Speaker 6: sometimes if you are the one to vocalize that, that 289 00:15:01,920 --> 00:15:04,920 Speaker 6: only kind of goes against you because then you're the complainer, 290 00:15:05,040 --> 00:15:07,360 Speaker 6: you're the nag. And so if you're in a climate 291 00:15:07,400 --> 00:15:10,920 Speaker 6: where you can't really call out what you're facing and 292 00:15:10,960 --> 00:15:13,800 Speaker 6: the people around you aren't going to explicitly call out 293 00:15:13,840 --> 00:15:16,320 Speaker 6: what you're facing, then it's just allowed to fester. 294 00:15:16,680 --> 00:15:19,320 Speaker 5: Like on called out Yeah. 295 00:15:19,400 --> 00:15:22,440 Speaker 1: I found it interesting because as you had brought this 296 00:15:22,480 --> 00:15:24,840 Speaker 1: to our attention, I hadn't realized he had made an announcement. 297 00:15:24,880 --> 00:15:28,000 Speaker 1: We just knew the promises that President Biden had given. 298 00:15:28,240 --> 00:15:30,480 Speaker 1: Finally naming a name and trying to look her up 299 00:15:30,480 --> 00:15:32,960 Speaker 1: and seeing who she was. Of course, one of the 300 00:15:32,960 --> 00:15:36,120 Speaker 1: top things that I saw was a congressman going in 301 00:15:36,120 --> 00:15:39,920 Speaker 1: on attacks and being repeatedly attacking them, just obviously already 302 00:15:40,000 --> 00:15:43,040 Speaker 1: ready to go. Oddly enough, the same congressman was the 303 00:15:43,040 --> 00:15:45,080 Speaker 1: one that had been one of three Republicans who had 304 00:15:45,160 --> 00:15:47,680 Speaker 1: voted her in her federal seat, and we were like, wait, 305 00:15:47,760 --> 00:15:50,120 Speaker 1: so how is she qualified then and not now? But 306 00:15:50,240 --> 00:15:53,920 Speaker 1: we know the answer obviously of why they are very 307 00:15:54,000 --> 00:15:57,720 Speaker 1: upset about this pick. In general, in all of the 308 00:15:57,760 --> 00:16:01,480 Speaker 1: game of politics, we understand that. But as it comes along, 309 00:16:02,560 --> 00:16:04,600 Speaker 1: that is part of that conversation where I'm like, I know, 310 00:16:04,760 --> 00:16:06,480 Speaker 1: I don't even want to mention who it is because 311 00:16:06,480 --> 00:16:08,960 Speaker 1: I don't want to amplify that even more. Instead, let's 312 00:16:09,000 --> 00:16:12,240 Speaker 1: talk about her qualifications and why she is qualified to 313 00:16:12,400 --> 00:16:14,200 Speaker 1: lead us in this type of position. 314 00:16:14,640 --> 00:16:19,440 Speaker 6: Absolutely so, even before Judge Jackson was named as the nominee, 315 00:16:19,720 --> 00:16:24,760 Speaker 6: people were wasting no time lobbying these completely ridiculous, unfair 316 00:16:25,240 --> 00:16:27,960 Speaker 6: sexist attacks on her. Just we don't even know who 317 00:16:27,960 --> 00:16:30,640 Speaker 6: she is, to WHI she's a hypothetical person. Senator John 318 00:16:30,760 --> 00:16:34,000 Speaker 6: Kennedy he told Politico, I want a nominee who knows 319 00:16:34,000 --> 00:16:36,240 Speaker 6: a law book from a J Crew catalog. I want 320 00:16:36,280 --> 00:16:38,360 Speaker 6: a nominee who's not going to try to rewrite the 321 00:16:38,400 --> 00:16:42,040 Speaker 6: constitution every other Thursday to advance a woke agenda. 322 00:16:42,400 --> 00:16:44,280 Speaker 5: And he was saying this, we didn't even. 323 00:16:44,120 --> 00:16:46,440 Speaker 6: Know who this person was yet, and they were already 324 00:16:46,880 --> 00:16:50,920 Speaker 6: lobbing these racist, sexist attacks, like why do you assume 325 00:16:51,080 --> 00:16:52,920 Speaker 6: that she's not going to know what a legal brief 326 00:16:52,920 --> 00:16:55,440 Speaker 6: from a J Crew catalog? Like that's like reading between 327 00:16:55,480 --> 00:16:58,480 Speaker 6: the lines. That is obviously meant to be a sexist swipe. 328 00:16:58,520 --> 00:17:01,720 Speaker 6: Because Biden had already expressed his intentions to nominate a 329 00:17:01,720 --> 00:17:04,200 Speaker 6: black woman, why do you assume this person is going 330 00:17:04,240 --> 00:17:07,040 Speaker 6: to be, you know, pushing a woke agenda? And what 331 00:17:07,080 --> 00:17:09,560 Speaker 6: does that even mean? I think when you really pull 332 00:17:09,640 --> 00:17:12,960 Speaker 6: apart some of these dog whistles that are used, it 333 00:17:13,119 --> 00:17:17,719 Speaker 6: just reveals itself as unfair attacks, rooted in identity, or 334 00:17:17,800 --> 00:17:20,800 Speaker 6: just complete hypocrisy, Like just like what you were saying, 335 00:17:20,840 --> 00:17:22,440 Speaker 6: were you referencing Lindsay Graham? 336 00:17:22,760 --> 00:17:25,920 Speaker 5: Who was you know? I think it was Literal. 337 00:17:26,080 --> 00:17:28,399 Speaker 6: So I've been up working on this since like like 338 00:17:28,480 --> 00:17:30,600 Speaker 6: all day, right, I watched the announcement come in, I 339 00:17:30,640 --> 00:17:35,560 Speaker 6: watched all the responses. Lindsey Graham tweeted Literal minute after 340 00:17:35,600 --> 00:17:38,800 Speaker 6: she was announced, saying, quote, the radical left had won 341 00:17:38,880 --> 00:17:39,560 Speaker 6: over Biden. 342 00:17:40,000 --> 00:17:42,040 Speaker 5: Yet Graham also voted. 343 00:17:41,720 --> 00:17:44,640 Speaker 6: To confirm Judge Deecks into the DC Federal Appeals Court, 344 00:17:44,720 --> 00:17:47,040 Speaker 6: which is the second most important court in the country, 345 00:17:47,400 --> 00:17:49,040 Speaker 6: just eight months ago, this past summer. 346 00:17:49,080 --> 00:17:51,480 Speaker 5: So which is it? Is this a win for the 347 00:17:51,600 --> 00:17:52,280 Speaker 5: woke left? 348 00:17:52,480 --> 00:17:54,439 Speaker 6: And like what was different eight months earlier when you 349 00:17:54,520 --> 00:17:55,440 Speaker 6: voted to confirm her? 350 00:17:55,600 --> 00:17:56,640 Speaker 5: So it is very. 351 00:17:56,440 --> 00:18:00,639 Speaker 6: Interesting at this point, I wouldn't even like the hypocrisy 352 00:18:00,720 --> 00:18:03,240 Speaker 6: is so clear that it's almost sort of like not 353 00:18:03,359 --> 00:18:06,000 Speaker 6: worth pointing out. It's like, of course, you are only 354 00:18:06,000 --> 00:18:09,680 Speaker 6: interested in a bad faith assessment. You know, you don't 355 00:18:09,720 --> 00:18:12,199 Speaker 6: even expect people to look back at your own voting 356 00:18:12,240 --> 00:18:14,960 Speaker 6: record to see where you actually stand on this issue. 357 00:18:15,080 --> 00:18:18,120 Speaker 6: You're just counting on people not actually spending a little 358 00:18:18,160 --> 00:18:19,840 Speaker 6: bit of time and thinking about what you're saying. 359 00:18:20,160 --> 00:18:24,200 Speaker 3: Right, Yeah, we're both shaking our head with friends. Yeah, 360 00:18:24,320 --> 00:18:24,920 Speaker 3: it's true. 361 00:18:24,960 --> 00:18:28,000 Speaker 2: Though, it's so frustrating because it's like every time I 362 00:18:28,040 --> 00:18:31,840 Speaker 2: point out something that's hypocritical, it doesn't matter anymore. 363 00:18:31,840 --> 00:18:32,919 Speaker 3: They're like, yeah, Rose, it is. 364 00:18:33,720 --> 00:18:35,879 Speaker 1: I mean, essentially, it's kind of what we were talking 365 00:18:35,920 --> 00:18:40,200 Speaker 1: about when Amy Barrett Cohen was confirmed as well as Kavanaugh, 366 00:18:40,640 --> 00:18:45,120 Speaker 1: about the ridiculous hypocrisy that happened between Obama and administration 367 00:18:45,400 --> 00:18:47,840 Speaker 1: and the Trump administration. And now we're back again. Now 368 00:18:47,880 --> 00:18:51,960 Speaker 1: we're here again to the same conversation, and literally half 369 00:18:52,000 --> 00:18:56,800 Speaker 1: of the Republican candidates or the conservative politicians will agree, Yeah, 370 00:18:56,800 --> 00:18:59,679 Speaker 1: this is hypocritical. This is what we do, and they 371 00:18:59,720 --> 00:19:01,720 Speaker 1: kind of just leave it at that and assume that 372 00:19:01,760 --> 00:19:05,200 Speaker 1: nobody will notice. And typically people who are already dug 373 00:19:05,240 --> 00:19:08,360 Speaker 1: their hills in don't notice, won't notice because they want 374 00:19:08,400 --> 00:19:11,359 Speaker 1: what they want in whatever agenda it is they have 375 00:19:11,480 --> 00:19:14,560 Speaker 1: planted themselves firmly in. But yeah, let's talk about the 376 00:19:14,560 --> 00:19:17,320 Speaker 1: fact this is a whole different conversation, but that we 377 00:19:17,480 --> 00:19:20,840 Speaker 1: have different types of terms, and words like woke that 378 00:19:20,920 --> 00:19:23,399 Speaker 1: have been used as a positive has now flipped so 379 00:19:23,440 --> 00:19:26,800 Speaker 1: hard to a negative that everyone is automatically like, oh, 380 00:19:26,920 --> 00:19:28,359 Speaker 1: he said it. He's right, it's bad. 381 00:19:29,040 --> 00:19:32,960 Speaker 5: Oh my gosh, I could talk all day. I'llnestly. So 382 00:19:32,960 --> 00:19:35,479 Speaker 5: I have two things to say about this. One is 383 00:19:35,480 --> 00:19:37,240 Speaker 5: that you are so right. 384 00:19:37,359 --> 00:19:40,920 Speaker 6: There are so many words that have just become meaningless. 385 00:19:41,080 --> 00:19:41,240 Speaker 5: Right. 386 00:19:41,320 --> 00:19:45,560 Speaker 6: So if you're talking about a hypothetical Supreme Court nominee 387 00:19:45,600 --> 00:19:47,600 Speaker 6: and you're like, oh, we don't want somebody who's woke, 388 00:19:48,000 --> 00:19:50,440 Speaker 6: you don't know any This person doesn't is a hypothetical person, 389 00:19:50,480 --> 00:19:52,160 Speaker 6: so you're not You don't know anything about their record, 390 00:19:52,160 --> 00:19:53,679 Speaker 6: you don't know anything about like where they stand on 391 00:19:53,680 --> 00:19:57,719 Speaker 6: the issues. So saying woke it almost just just the 392 00:19:57,760 --> 00:19:59,160 Speaker 6: only thing we know about this person is that she's 393 00:19:59,160 --> 00:20:01,080 Speaker 6: going to be a black woman. So saying you don't 394 00:20:01,080 --> 00:20:04,080 Speaker 6: want someone who is woke, reading between the lines, you're 395 00:20:04,240 --> 00:20:07,000 Speaker 6: using that as a stand in for the word black, right, 396 00:20:07,040 --> 00:20:08,679 Speaker 6: And so I think that we see that time and 397 00:20:08,760 --> 00:20:16,960 Speaker 6: time again where these words become stand ins for identity, 398 00:20:17,440 --> 00:20:20,320 Speaker 6: and they also kind of become meaningless, right, Like cancel 399 00:20:20,359 --> 00:20:22,520 Speaker 6: culture is another one I remember reading this is. 400 00:20:22,480 --> 00:20:25,080 Speaker 5: This is sort of silly, But there was this story a. 401 00:20:25,040 --> 00:20:29,199 Speaker 6: While ago where this guy who had been running a 402 00:20:29,280 --> 00:20:32,560 Speaker 6: racehorse in the Kentucky Derby. His racehorse had been I 403 00:20:32,600 --> 00:20:34,560 Speaker 6: don't know, they like, I'm sure there's more details to it, 404 00:20:34,560 --> 00:20:38,680 Speaker 6: but essentially, his racehorse had been drug tested and he 405 00:20:39,440 --> 00:20:41,639 Speaker 6: had been like found to have drugs in a system, 406 00:20:41,680 --> 00:20:44,480 Speaker 6: so he was disqualified. And in an interview he was like, oh, 407 00:20:44,520 --> 00:20:47,080 Speaker 6: this is cancel culture strikes again. And I was like, 408 00:20:47,080 --> 00:20:49,679 Speaker 6: what are you even talking about, Like, how is cancel culture? 409 00:20:50,200 --> 00:20:52,360 Speaker 5: Like in what way you caught? 410 00:20:52,680 --> 00:20:55,840 Speaker 6: Yeah, you gotta cut doping your horse and your horse 411 00:20:55,920 --> 00:20:56,680 Speaker 6: was disqualified. 412 00:20:56,840 --> 00:21:00,320 Speaker 5: That's not cancel culture, even Like, I just. 413 00:21:00,280 --> 00:21:02,360 Speaker 6: Have a lot of questions about the way that these 414 00:21:02,359 --> 00:21:03,359 Speaker 6: words are being used. 415 00:21:03,520 --> 00:21:04,920 Speaker 5: But I think and that's kind of. 416 00:21:04,840 --> 00:21:06,639 Speaker 6: The second point that I want to make about this 417 00:21:06,800 --> 00:21:09,800 Speaker 6: is that one of the reasons why I am so 418 00:21:10,040 --> 00:21:14,639 Speaker 6: adamant about things like disinformation, misinformation and just having a healthier, 419 00:21:15,119 --> 00:21:19,000 Speaker 6: more honest conversation and a media landscape that facilitates those 420 00:21:19,080 --> 00:21:23,040 Speaker 6: kinds of conversations is that we are no longer able 421 00:21:23,160 --> 00:21:28,880 Speaker 6: to have substantive, thoughtful conversations about the issue when our 422 00:21:28,960 --> 00:21:35,520 Speaker 6: ecosystem is flooded with bad faith, clearly hypocritical rhetoric and discourse. 423 00:21:35,560 --> 00:21:38,080 Speaker 6: And so you know, even if you're someone let's say 424 00:21:38,080 --> 00:21:41,679 Speaker 6: that you're listening and you are very conservative. You know, 425 00:21:41,840 --> 00:21:44,040 Speaker 6: you probably have hated this conversation that we've been having, 426 00:21:44,080 --> 00:21:46,520 Speaker 6: but you know, like even if you're someone who is 427 00:21:46,600 --> 00:21:49,639 Speaker 6: very conservative, you deserve to be able to, you know, 428 00:21:49,880 --> 00:21:53,919 Speaker 6: talk about your your issues, talk have a substantive conversation 429 00:21:53,960 --> 00:21:57,159 Speaker 6: and a substantive debate about where you stand on the issues. 430 00:21:57,200 --> 00:22:00,320 Speaker 6: And so I believe that when the discoord and the 431 00:22:00,359 --> 00:22:05,160 Speaker 6: space is just flooded with you know, charged rhetoric where 432 00:22:05,160 --> 00:22:08,760 Speaker 6: we're talking where we're talking about race or identity but 433 00:22:09,040 --> 00:22:12,639 Speaker 6: using different words, everybody loses because you're not able to 434 00:22:12,680 --> 00:22:15,800 Speaker 6: have a substantive conversation about where you might agree or 435 00:22:15,840 --> 00:22:18,400 Speaker 6: disagree with the Supreme Court nominee. 436 00:22:18,040 --> 00:22:19,000 Speaker 5: Right the ow. 437 00:22:19,119 --> 00:22:20,960 Speaker 6: And so I think that that's my biggest issue is 438 00:22:21,000 --> 00:22:24,639 Speaker 6: that we have a media ecosystem that really amplifies the 439 00:22:24,680 --> 00:22:28,520 Speaker 6: most extreme, the most over the top statements, or the 440 00:22:28,520 --> 00:22:34,200 Speaker 6: most nonsense statements, and so everybody loses. Democrat, Republican, conservative, lefty, whoever. 441 00:22:34,440 --> 00:22:38,919 Speaker 6: Everybody loses when we have an ecosystem that amplifies the 442 00:22:39,040 --> 00:22:43,040 Speaker 6: least substantive takes because that takes away from the ability 443 00:22:43,040 --> 00:22:47,240 Speaker 6: to have an actual substantive, thoughtful debate or conversation about 444 00:22:47,240 --> 00:22:49,840 Speaker 6: the actual issues, and so I don't want to create 445 00:22:49,880 --> 00:22:55,120 Speaker 6: the conditions for Judge Jackson to only be judged by racist, 446 00:22:55,160 --> 00:22:59,240 Speaker 6: sexist tropes or caricatures or unfair attacks, because I want 447 00:22:59,240 --> 00:23:01,560 Speaker 6: to talk about her, her actual credentials, I want to 448 00:23:01,600 --> 00:23:03,560 Speaker 6: talk about her actual record. I want to talk about 449 00:23:03,600 --> 00:23:08,520 Speaker 6: her actual character. But disinformation and misinformation does not allow 450 00:23:08,640 --> 00:23:11,399 Speaker 6: for the actual issues to take the center stage that 451 00:23:11,440 --> 00:23:11,879 Speaker 6: they should. 452 00:23:12,280 --> 00:23:15,520 Speaker 1: Right you just kind of explained my whole conversation with 453 00:23:15,560 --> 00:23:18,440 Speaker 1: my parents over the holidays, but we won't get into 454 00:23:18,480 --> 00:23:19,080 Speaker 1: that right now. 455 00:23:19,240 --> 00:23:20,360 Speaker 5: I'm just gon't put that there. 456 00:23:21,600 --> 00:23:24,520 Speaker 1: It was interesting, but you know, and them thinking about 457 00:23:24,560 --> 00:23:27,520 Speaker 1: this because when we talk about these terms and automatically 458 00:23:27,600 --> 00:23:31,320 Speaker 1: just becoming used by media as an ecosystem to bring 459 00:23:31,400 --> 00:23:35,560 Speaker 1: in the shock value, it makes me also realize that 460 00:23:35,640 --> 00:23:38,359 Speaker 1: in terms of what they're talking about in woke, it 461 00:23:38,520 --> 00:23:40,920 Speaker 1: is a black term that was created by the black 462 00:23:40,960 --> 00:23:45,800 Speaker 1: community to kind of gift non black people with Hey, 463 00:23:46,000 --> 00:23:49,639 Speaker 1: you woke up. Congratulations, you're finally seeing what we have 464 00:23:49,720 --> 00:23:52,240 Speaker 1: been going through all of our generations. 465 00:23:52,600 --> 00:23:54,240 Speaker 5: Welcome you have woke. 466 00:23:54,440 --> 00:23:56,760 Speaker 1: Like, that's kind of that term, and I hate that 467 00:23:56,880 --> 00:24:00,440 Speaker 1: it has been weaponized to this point of being used 468 00:24:00,480 --> 00:24:04,280 Speaker 1: against people and when they're using it. When Kennedy used this, 469 00:24:04,720 --> 00:24:08,600 Speaker 1: he was weaponizing this terms to a woman, to an official, 470 00:24:08,680 --> 00:24:11,480 Speaker 1: to a judge, to a professional who didn't need to 471 00:24:11,520 --> 00:24:14,760 Speaker 1: be woke. She was already there. This was her life. 472 00:24:14,880 --> 00:24:17,360 Speaker 1: And not only that. If we do look at her 473 00:24:17,600 --> 00:24:20,920 Speaker 1: backgrounds and credentials, she has been doing this work. There's 474 00:24:20,960 --> 00:24:22,640 Speaker 1: no conversation of her being woke. 475 00:24:22,880 --> 00:24:24,840 Speaker 5: She just is. So with that. 476 00:24:24,920 --> 00:24:27,159 Speaker 1: Because I'm angry about this, can we talk about some 477 00:24:27,240 --> 00:24:28,520 Speaker 1: of those qualifications? 478 00:24:28,720 --> 00:24:30,040 Speaker 5: Oh? Absolutely so. 479 00:24:30,240 --> 00:24:32,560 Speaker 6: One of the best ways to counter all the kinds 480 00:24:32,600 --> 00:24:35,560 Speaker 6: of BS, racist, sexist attacks that you're definitely going to 481 00:24:35,600 --> 00:24:39,040 Speaker 6: hear about Judge Jackson is to flood the space to 482 00:24:39,160 --> 00:24:42,359 Speaker 6: counter that with accurate information. So I'm super excited to 483 00:24:42,359 --> 00:24:45,159 Speaker 6: talk about her actual qualifications. So a little bit of 484 00:24:45,160 --> 00:24:48,000 Speaker 6: background information about Judge Jackson. She was born in Washington, 485 00:24:48,080 --> 00:24:49,840 Speaker 6: d C. Shout out to d C, where I am 486 00:24:49,880 --> 00:24:53,600 Speaker 6: also from. She grew up in Miami, Florida. Her parents 487 00:24:53,600 --> 00:24:56,040 Speaker 6: started their career as public school teachers and then later 488 00:24:56,080 --> 00:24:59,080 Speaker 6: became administrators in the Miami Dade County public school system. 489 00:24:59,560 --> 00:25:01,960 Speaker 6: I love this a little fun fact about her. Judge 490 00:25:02,000 --> 00:25:04,679 Speaker 6: Jackson was a star student, but she was told not 491 00:25:04,720 --> 00:25:07,040 Speaker 6: to set her sites too high by a guidance counselor. 492 00:25:07,200 --> 00:25:09,200 Speaker 6: When she told that guidance counselor that she wanted to 493 00:25:09,240 --> 00:25:11,879 Speaker 6: go to Harvard and guess where she ended up going 494 00:25:11,880 --> 00:25:19,840 Speaker 6: to college Harvard. Yes, that's right, So she definitely like 495 00:25:19,920 --> 00:25:23,159 Speaker 6: shut that guidance counselor right up. She studied government at 496 00:25:23,160 --> 00:25:26,080 Speaker 6: Harvard University and attended Harvard Law School, where she was 497 00:25:26,119 --> 00:25:29,480 Speaker 6: the supervising editor of the Harvard Law Review. So her 498 00:25:29,800 --> 00:25:32,120 Speaker 6: educational credentials are pretty solid. 499 00:25:32,880 --> 00:25:35,360 Speaker 3: Yeah, yeah, I would say so. I love that too. 500 00:25:35,480 --> 00:25:38,360 Speaker 3: I hope that that the guidance counselor knows. 501 00:25:39,320 --> 00:25:43,800 Speaker 1: Oh he knows now. 502 00:25:44,280 --> 00:25:47,280 Speaker 6: So something else about her is that she's absurdly qualified 503 00:25:47,320 --> 00:25:50,800 Speaker 6: in experienced. So this is from Steve Ladek. Judge Jackson 504 00:25:50,800 --> 00:25:53,600 Speaker 6: has eight point nine years of prior judicial experience. 505 00:25:53,760 --> 00:25:55,840 Speaker 5: That's more than four of our current. 506 00:25:55,720 --> 00:26:00,560 Speaker 6: Justices Thomas, Roberts, Kagan and Barrett had combined. It's also 507 00:26:00,640 --> 00:26:03,119 Speaker 6: more than four of the last ten justices had at 508 00:26:03,160 --> 00:26:06,480 Speaker 6: their confirmations, nine of the last seventeen and forty three 509 00:26:06,600 --> 00:26:10,360 Speaker 6: of fifty eight appointed since nineteen hundred. So anybody who 510 00:26:10,359 --> 00:26:14,000 Speaker 6: tells you she is not experienced, anybody that tells you 511 00:26:14,040 --> 00:26:16,679 Speaker 6: that she's not qualified. Anybody that tells you that she 512 00:26:17,160 --> 00:26:19,639 Speaker 6: only got this position because she's a black woman is 513 00:26:19,720 --> 00:26:23,359 Speaker 6: just misinformed and they're spreading misinformation because as we can see, 514 00:26:23,440 --> 00:26:27,440 Speaker 6: she's very qualified, more qualified than some of the current 515 00:26:27,480 --> 00:26:29,520 Speaker 6: Supreme Court justices, right. 516 00:26:30,000 --> 00:26:31,800 Speaker 3: Which is infuriating. 517 00:26:31,920 --> 00:26:35,960 Speaker 2: But yes, also, as you mentioned, she's already gone through 518 00:26:35,960 --> 00:26:37,200 Speaker 2: a lot of vetting, right. 519 00:26:37,560 --> 00:26:39,800 Speaker 6: Absolutely, So this is something else that I think people 520 00:26:39,840 --> 00:26:43,440 Speaker 6: really need to understand. She has been vetted a ton, 521 00:26:43,800 --> 00:26:47,040 Speaker 6: She has a proven track record of attracting bipartisan support 522 00:26:47,080 --> 00:26:50,040 Speaker 6: in the Senate. She's already been confirmed three times on 523 00:26:50,080 --> 00:26:53,000 Speaker 6: a bipartisan vote, so there is no reason to not 524 00:26:53,119 --> 00:26:55,200 Speaker 6: expect the same now that she's being considered for the 525 00:26:55,240 --> 00:26:59,000 Speaker 6: Supreme Court again. Lindsey Graham voted to confirm her, Murkowski 526 00:26:59,080 --> 00:27:01,560 Speaker 6: voted to confirm her, and Collins voted to confirm her. 527 00:27:01,640 --> 00:27:01,760 Speaker 5: Right. 528 00:27:01,800 --> 00:27:04,560 Speaker 6: So these are Republicans who broke ranks with their party 529 00:27:04,600 --> 00:27:07,240 Speaker 6: to side with Democrats to vote to confirm her. And so, 530 00:27:07,880 --> 00:27:11,119 Speaker 6: having already gone through this process, I would really want 531 00:27:11,720 --> 00:27:13,679 Speaker 6: someone like Lindsay Graham to sit down with me and 532 00:27:13,720 --> 00:27:16,440 Speaker 6: explain what changed over the last eight months. When he 533 00:27:16,560 --> 00:27:18,720 Speaker 6: voted to confirm her to the second most important court 534 00:27:18,720 --> 00:27:19,360 Speaker 6: in the country. 535 00:27:20,080 --> 00:27:21,960 Speaker 5: To now, if he is saying. 536 00:27:21,720 --> 00:27:24,040 Speaker 6: That she is not an appropriate choice, I'm the same 537 00:27:24,080 --> 00:27:25,320 Speaker 6: with Collins and Murkowski. 538 00:27:25,440 --> 00:27:27,240 Speaker 5: There's no reason to expect that she. 539 00:27:27,280 --> 00:27:30,720 Speaker 6: Should not be able to be confirmed by the Senate, 540 00:27:31,400 --> 00:27:33,960 Speaker 6: considering she's been vetted and gone through this process three 541 00:27:34,000 --> 00:27:34,919 Speaker 6: different times before. 542 00:27:36,560 --> 00:27:39,040 Speaker 2: There are certain people that like thinking about talking to 543 00:27:39,080 --> 00:27:40,280 Speaker 2: them makes my skin crawl. 544 00:27:40,760 --> 00:27:41,800 Speaker 3: Graham as one of them. 545 00:27:42,320 --> 00:27:58,560 Speaker 1: But yes, I do find it interesting, and this is 546 00:27:58,560 --> 00:28:00,720 Speaker 1: a whole different conversation again. You know how I love 547 00:28:00,720 --> 00:28:04,000 Speaker 1: the sidetrack that it is an interesting strategy that Biden 548 00:28:04,160 --> 00:28:07,119 Speaker 1: and his administration has pulled, not only because this is 549 00:28:07,200 --> 00:28:09,840 Speaker 1: obviously telling is like, Okay, this is one of the 550 00:28:09,880 --> 00:28:12,360 Speaker 1: most qualified people that we could find that we think 551 00:28:12,480 --> 00:28:15,720 Speaker 1: is deserving and has earned a place in this position. 552 00:28:16,440 --> 00:28:19,600 Speaker 1: If you who oppose everything we do, are sot to 553 00:28:19,600 --> 00:28:22,280 Speaker 1: start arguing, is going to be a telltale sign of 554 00:28:22,320 --> 00:28:24,880 Speaker 1: who you are and what you're doing. So it's an 555 00:28:24,880 --> 00:28:28,320 Speaker 1: interesting turn. Again, that's a whole different conversation because I've 556 00:28:28,320 --> 00:28:31,520 Speaker 1: always interested in good political thriller and this feels like, 557 00:28:31,960 --> 00:28:33,520 Speaker 1: you know, I have to do everything a little fictional 558 00:28:33,640 --> 00:28:34,200 Speaker 1: or movie s. 559 00:28:34,440 --> 00:28:37,560 Speaker 5: Yeah, it's so true. 560 00:28:37,600 --> 00:28:39,920 Speaker 6: Because, like you know, and thinking I was thinking about 561 00:28:39,960 --> 00:28:42,760 Speaker 6: that this morning. I do think it's clear to me 562 00:28:42,840 --> 00:28:45,840 Speaker 6: that the administration picked someone who had already been like 563 00:28:46,200 --> 00:28:48,400 Speaker 6: gone through this process a few times just so that 564 00:28:48,440 --> 00:28:52,200 Speaker 6: it will be, you know, just sort of shut down 565 00:28:52,520 --> 00:28:55,400 Speaker 6: any kind of you know, consternation there might be in 566 00:28:55,480 --> 00:28:57,600 Speaker 6: terms of like you know, like vetting her and all 567 00:28:57,600 --> 00:28:57,880 Speaker 6: of that. 568 00:28:58,280 --> 00:29:01,640 Speaker 5: And I think it really demonstrates something. I'm not totally sure. 569 00:29:02,360 --> 00:29:04,320 Speaker 6: This is not a completely fleshed out thought, and I'm 570 00:29:04,320 --> 00:29:06,480 Speaker 6: not totally sure how it fits into this conversation, but 571 00:29:07,000 --> 00:29:10,160 Speaker 6: I do think there is this standard for women, women 572 00:29:10,160 --> 00:29:13,160 Speaker 6: of color and black women where we have to be 573 00:29:13,640 --> 00:29:15,960 Speaker 6: extra special qualified. 574 00:29:15,400 --> 00:29:18,000 Speaker 1: Kind of that standard of women have to do one 575 00:29:18,080 --> 00:29:22,160 Speaker 1: hundred and thirty forty fifty percent more than men in general, 576 00:29:22,440 --> 00:29:24,720 Speaker 1: and then when you're a part of the marginalized community, 577 00:29:24,800 --> 00:29:26,960 Speaker 1: add on another twenty percent, and then if you're a 578 00:29:27,000 --> 00:29:31,520 Speaker 1: black woman, add on another thirty percent of exceeding the standard, 579 00:29:31,600 --> 00:29:35,920 Speaker 1: exceeding the qualifications because for some reason, you have to 580 00:29:36,080 --> 00:29:40,480 Speaker 1: be on that level in order to be seen as serious. 581 00:29:40,760 --> 00:29:43,480 Speaker 1: So that's just in general, So let's put that in 582 00:29:43,640 --> 00:29:46,240 Speaker 1: this federal level where they are putting her under a 583 00:29:46,280 --> 00:29:49,320 Speaker 1: microscope in every way, and not only putting her in 584 00:29:49,440 --> 00:29:52,040 Speaker 1: micro under a microscope to twist and turn truth. They're 585 00:29:52,080 --> 00:29:54,800 Speaker 1: going to tell flat out wies. We know this, It's 586 00:29:54,840 --> 00:29:57,719 Speaker 1: already happening, that's what they're doing. And we saw this 587 00:29:57,800 --> 00:30:01,240 Speaker 1: with Kamala Harris, which I really found fascinating because Kamala 588 00:30:01,240 --> 00:30:04,560 Speaker 1: Harris has a track record as the Attorney General. They 589 00:30:04,840 --> 00:30:08,520 Speaker 1: lasted her rightful, it's so for her track record in 590 00:30:08,880 --> 00:30:12,600 Speaker 1: criminalizing people in general. And when I found out Judge 591 00:30:12,680 --> 00:30:15,920 Speaker 1: Jackson comes from the public defender filed correct. 592 00:30:16,360 --> 00:30:19,640 Speaker 6: That's right, So super super exciting. Not only would she 593 00:30:19,800 --> 00:30:22,400 Speaker 6: be historic as the first black woman on the Supreme Court, 594 00:30:22,560 --> 00:30:25,320 Speaker 6: but also the first public defender to serve on the Court, 595 00:30:25,320 --> 00:30:26,560 Speaker 6: which is a big deal. 596 00:30:26,960 --> 00:30:28,200 Speaker 5: She has a long. 597 00:30:28,000 --> 00:30:30,480 Speaker 6: Personal history of working as a public defender. While she 598 00:30:30,560 --> 00:30:33,160 Speaker 6: was at Harvard, a relatively sentenced to life in prison 599 00:30:33,200 --> 00:30:35,680 Speaker 6: for a non violent drug offense, and she helped convince 600 00:30:35,680 --> 00:30:38,240 Speaker 6: a law firm to take his case pro bono, eventually 601 00:30:38,280 --> 00:30:40,880 Speaker 6: leading to having President Obama commute his sentence. And so 602 00:30:41,280 --> 00:30:43,440 Speaker 6: it is a big deal to have somebody on the 603 00:30:43,480 --> 00:30:47,200 Speaker 6: Supreme Court who has this legacy of public service in 604 00:30:47,240 --> 00:30:47,600 Speaker 6: this way. 605 00:30:47,640 --> 00:30:48,400 Speaker 5: My brother's a lawyer. 606 00:30:48,400 --> 00:30:50,440 Speaker 6: He got his start as a public defender in Durham, 607 00:30:50,440 --> 00:30:52,880 Speaker 6: North Carolina. I just love the idea of having someone 608 00:30:52,880 --> 00:30:56,040 Speaker 6: who has this history because it's important, you know. I 609 00:30:56,080 --> 00:31:02,240 Speaker 6: think that it's often easy to forget that public service 610 00:31:02,600 --> 00:31:06,720 Speaker 6: should be a pipeline into bigger things, you know, like 611 00:31:06,880 --> 00:31:10,600 Speaker 6: I want to see more teachers, public educators, public servants 612 00:31:10,840 --> 00:31:13,360 Speaker 6: be elevated on a national way like this. 613 00:31:13,480 --> 00:31:14,960 Speaker 5: So I love that aspect of. 614 00:31:14,920 --> 00:31:17,560 Speaker 1: Her amen former social worker. 615 00:31:17,880 --> 00:31:18,120 Speaker 5: Yeah, and. 616 00:31:19,840 --> 00:31:20,520 Speaker 1: A men. 617 00:31:23,400 --> 00:31:25,920 Speaker 6: We have this attitude where it's like, if you choose 618 00:31:25,960 --> 00:31:28,440 Speaker 6: to serve the public, you're some kind of a like. 619 00:31:29,280 --> 00:31:29,680 Speaker 5: I don't know. 620 00:31:29,720 --> 00:31:33,160 Speaker 6: I don't think we give people who serve the public 621 00:31:33,480 --> 00:31:36,600 Speaker 6: the like props they deserve, and they deserve a lot. 622 00:31:36,800 --> 00:31:39,840 Speaker 1: And you know what, I have been feeling some emotions 623 00:31:39,880 --> 00:31:43,680 Speaker 1: for our people in Texas who are social workers that 624 00:31:43,880 --> 00:31:46,200 Speaker 1: we know what's happening there, most people do, I think, 625 00:31:46,280 --> 00:31:48,720 Speaker 1: especially our listeners. And my heart has been breaking because 626 00:31:48,720 --> 00:31:51,760 Speaker 1: I already know how divisive that type of conversation is. 627 00:31:52,280 --> 00:31:56,480 Speaker 1: But going back to Judge Jackson and her public defense, like, yeah, 628 00:31:56,600 --> 00:31:58,960 Speaker 1: I have worked with many a public defenders, and a 629 00:31:59,000 --> 00:32:03,520 Speaker 1: good public defender is invaluable the way that they have 630 00:32:03,680 --> 00:32:07,560 Speaker 1: to advocate and push for truth and justice, true justice 631 00:32:07,600 --> 00:32:10,280 Speaker 1: meaning that we are hearing the side and that they 632 00:32:10,280 --> 00:32:14,840 Speaker 1: are not guilty till proven otherwise. And how often times, 633 00:32:15,080 --> 00:32:18,840 Speaker 1: especially in I'm assuming DC Atlanta is very similar, how 634 00:32:18,840 --> 00:32:22,600 Speaker 1: often that gets wrong, and that when we would find 635 00:32:22,800 --> 00:32:25,880 Speaker 1: as social worker who worked in the judicial system, when 636 00:32:25,920 --> 00:32:28,680 Speaker 1: I found a good defender, I went and talked to 637 00:32:28,720 --> 00:32:30,640 Speaker 1: them personally to try to get them onto cases for 638 00:32:30,760 --> 00:32:33,440 Speaker 1: my kids specifically to make sure that they got what 639 00:32:33,520 --> 00:32:37,000 Speaker 1: was fair. And that is so huge, So I do 640 00:32:37,680 --> 00:32:40,680 Speaker 1: my heart is soaring to know that we have someone 641 00:32:40,800 --> 00:32:42,880 Speaker 1: in that field coming to this point. 642 00:32:43,520 --> 00:32:48,000 Speaker 6: Yeah, it's a pretty historic thing. And yeah, people who 643 00:32:48,080 --> 00:32:52,800 Speaker 6: serve the public like thoughtfully and meaningfully, they really care 644 00:32:52,800 --> 00:32:56,640 Speaker 6: about people. And so I applaud you for, you know, 645 00:32:56,720 --> 00:32:59,600 Speaker 6: going the extra mile to create the conditions for your 646 00:32:59,680 --> 00:33:02,280 Speaker 6: kids to get real justice and to have a real advocate, 647 00:33:02,320 --> 00:33:03,960 Speaker 6: because that's not everybody is like that. 648 00:33:03,960 --> 00:33:04,920 Speaker 5: That's like a special thing. 649 00:33:05,560 --> 00:33:07,720 Speaker 2: Yeah, this is something that's been on my mind and 650 00:33:07,720 --> 00:33:09,280 Speaker 2: I think a lot of our minds lately. 651 00:33:09,320 --> 00:33:11,640 Speaker 3: Which is a separate podcast, but I'll mention it here. 652 00:33:11,680 --> 00:33:14,080 Speaker 2: It's like I feel in this country, we have a 653 00:33:14,120 --> 00:33:21,080 Speaker 2: real problem with glorifying like male ass story as being successful, 654 00:33:21,160 --> 00:33:24,520 Speaker 2: like oh, you managed the system, get your money, like 655 00:33:24,640 --> 00:33:26,560 Speaker 2: it doesn't matter. Kind of like what we're talking about 656 00:33:26,560 --> 00:33:29,240 Speaker 2: here with the critical nature of all these arguments being made, 657 00:33:29,360 --> 00:33:31,240 Speaker 2: and it's more to me, it feels more about the 658 00:33:31,320 --> 00:33:34,120 Speaker 2: show and like, ooh, I'm a politician, I'm on TV now, 659 00:33:34,160 --> 00:33:37,240 Speaker 2: like it's glorified, Whereas we have people who are working 660 00:33:37,240 --> 00:33:39,719 Speaker 2: for the public, and in a lot of ways these 661 00:33:39,760 --> 00:33:43,800 Speaker 2: are kind of more gendered as feminine and therefore lesser 662 00:33:43,840 --> 00:33:47,600 Speaker 2: in nature, like not worth the attention, not worth the accolades, 663 00:33:47,680 --> 00:33:52,200 Speaker 2: not worth the money, even though it's so critical to 664 00:33:52,360 --> 00:33:54,360 Speaker 2: a functioning society. 665 00:33:55,560 --> 00:33:58,600 Speaker 6: But yeah, oh my gosh, I mean I could talk 666 00:33:58,680 --> 00:34:03,000 Speaker 6: all day. The way that we have harmed everyone, like 667 00:34:03,120 --> 00:34:08,040 Speaker 6: a deep, deep societal harm is our legacy of not 668 00:34:08,280 --> 00:34:12,239 Speaker 6: respecting jobs that we code as feminine traditionally feminine, so 669 00:34:12,400 --> 00:34:16,399 Speaker 6: care work, you know, social work, education, all of these 670 00:34:16,719 --> 00:34:21,120 Speaker 6: things that we have coded as feminine. The deprioritization and 671 00:34:21,200 --> 00:34:24,279 Speaker 6: just like outright degradation and disrespect of those I think 672 00:34:24,360 --> 00:34:28,000 Speaker 6: that the ramifications we will never fully be able to 673 00:34:28,040 --> 00:34:30,400 Speaker 6: contend with as a society. How much that has harmed 674 00:34:30,480 --> 00:34:33,279 Speaker 6: us the way that you know, people who do care 675 00:34:33,360 --> 00:34:36,759 Speaker 6: work are underpaid, if they're paid at all, just the 676 00:34:37,120 --> 00:34:39,600 Speaker 6: way that we don't even factor it in and it 677 00:34:39,680 --> 00:34:43,160 Speaker 6: just falls on unpaid women, right Like, This is what 678 00:34:43,160 --> 00:34:45,520 Speaker 6: I mean when I say women are the backbone of 679 00:34:45,560 --> 00:34:48,440 Speaker 6: our country and our society, and oftentimes that work is 680 00:34:48,480 --> 00:34:52,920 Speaker 6: just completely not just unpaid, but unseen, unacknowledged. It's just 681 00:34:52,960 --> 00:34:57,040 Speaker 6: like the cost of society functioning. And so I think 682 00:34:57,040 --> 00:35:00,400 Speaker 6: that this country sometimes the only thing that is standing 683 00:35:00,400 --> 00:35:04,480 Speaker 6: between our country and like complete collapse is the effort 684 00:35:04,520 --> 00:35:08,200 Speaker 6: and labor of some exhausted women right way. 685 00:35:08,200 --> 00:35:10,919 Speaker 1: Right, And let's be honest at this point in time, 686 00:35:11,040 --> 00:35:13,319 Speaker 1: is black women like that? I think, like when we 687 00:35:13,360 --> 00:35:16,960 Speaker 1: talked about the elections before Biden, the Biden administration, the 688 00:35:17,000 --> 00:35:19,560 Speaker 1: amount of work that has to be done, when we 689 00:35:19,640 --> 00:35:22,919 Speaker 1: talked about cases like Aubrey Ahmed and all of those, 690 00:35:23,040 --> 00:35:26,120 Speaker 1: how women have been forefront and protesting and bringing up 691 00:35:26,120 --> 00:35:29,000 Speaker 1: all of these conversations and the continued work that they 692 00:35:29,040 --> 00:35:31,799 Speaker 1: have to do. But not only that, like, not only 693 00:35:31,840 --> 00:35:34,040 Speaker 1: are they working to do good, but they're often having 694 00:35:34,080 --> 00:35:37,960 Speaker 1: to combat all of the disinformation and harmful things that 695 00:35:38,000 --> 00:35:40,560 Speaker 1: are being said about them. Because they are doing the 696 00:35:40,640 --> 00:35:42,520 Speaker 1: hard work exactly. 697 00:35:42,600 --> 00:35:45,000 Speaker 6: I mean, that really leads us back to, you know, 698 00:35:45,160 --> 00:35:48,200 Speaker 6: Judge Jackson. Just so, Judge Jackson, I think I got 699 00:35:48,239 --> 00:35:49,600 Speaker 6: the email that she was. 700 00:35:49,600 --> 00:35:51,320 Speaker 5: Going to be the pick at like. 701 00:35:51,520 --> 00:35:54,359 Speaker 6: Eight point thirty this morning, and so we're talking at 702 00:35:54,520 --> 00:35:57,480 Speaker 6: two pm, and so already in a couple of hours. 703 00:35:57,840 --> 00:36:00,640 Speaker 6: Here are some of the unfair or just complete misleading 704 00:36:00,640 --> 00:36:02,799 Speaker 6: attacks I've seen on her. One is that you know, 705 00:36:02,840 --> 00:36:06,080 Speaker 6: her decisions have been overturned, when in reality, of her 706 00:36:06,160 --> 00:36:08,960 Speaker 6: roughly six hundred decisions that she has authored, she has 707 00:36:09,000 --> 00:36:11,640 Speaker 6: been overruled just two percent of the time, right, And 708 00:36:11,680 --> 00:36:14,800 Speaker 6: so if someone is telling you that in her career 709 00:36:14,840 --> 00:36:17,759 Speaker 6: as a judge, her decisions have been routinely overruled or. 710 00:36:17,680 --> 00:36:20,600 Speaker 5: Overturned, that's just not true. It's that less than two 711 00:36:20,600 --> 00:36:21,200 Speaker 5: percent of the time. 712 00:36:22,239 --> 00:36:24,319 Speaker 6: The idea that she's an affirmative action higher, that she 713 00:36:24,320 --> 00:36:26,200 Speaker 6: only got the job because she's a black woman, when 714 00:36:26,239 --> 00:36:29,319 Speaker 6: in reality she is clearly absurdly qualified, to the point 715 00:36:29,320 --> 00:36:33,000 Speaker 6: where even talking about it seems ridiculous. This idea that 716 00:36:33,040 --> 00:36:35,839 Speaker 6: she's too woke or too radical. One thing I would 717 00:36:35,880 --> 00:36:39,480 Speaker 6: say is really be wary of people throwing things like 718 00:36:39,560 --> 00:36:42,560 Speaker 6: that around without being able to point to. 719 00:36:42,360 --> 00:36:45,680 Speaker 5: A specific ruling or policy or argument that she makes. 720 00:36:45,760 --> 00:36:48,719 Speaker 6: Right, So, just saying somebody so and so is too 721 00:36:48,880 --> 00:36:52,080 Speaker 6: radical and then not having it be attached to any 722 00:36:52,160 --> 00:36:55,279 Speaker 6: kind of actual policy that you think, demonstrates that be 723 00:36:55,440 --> 00:36:57,799 Speaker 6: wary of people are who are saying that, because, in 724 00:36:57,880 --> 00:37:00,440 Speaker 6: my opinion, nine times out of ten, when someone saying that, 725 00:37:00,480 --> 00:37:02,920 Speaker 6: what they actually mean is this person as a black woman. 726 00:37:03,520 --> 00:37:06,040 Speaker 6: And then this idea of just sort of kind of 727 00:37:06,120 --> 00:37:08,120 Speaker 6: connecting her to things. 728 00:37:08,000 --> 00:37:10,440 Speaker 5: For no real reason, with no real. 729 00:37:10,239 --> 00:37:13,239 Speaker 6: Explanation as to like why you are connecting her to 730 00:37:13,320 --> 00:37:17,440 Speaker 6: these things? And so earlier today, Mitch McConnell tweeted, the 731 00:37:17,480 --> 00:37:20,800 Speaker 6: Senate must conduct a rigorous, exhaustive review of Judge Jackson's 732 00:37:20,800 --> 00:37:23,480 Speaker 6: nomination to the Supreme Court. This is especially crucial as 733 00:37:23,520 --> 00:37:26,759 Speaker 6: American families face major crises that connect directly to our 734 00:37:26,840 --> 00:37:30,080 Speaker 6: legal systems, such as skyrocketing violent crime and open borders. 735 00:37:30,320 --> 00:37:33,560 Speaker 6: So what does Judge Jackson have to do with open borders? Exactly? 736 00:37:33,560 --> 00:37:34,919 Speaker 6: What does she have to do with violent crime? 737 00:37:34,960 --> 00:37:35,400 Speaker 5: Exactly? 738 00:37:35,719 --> 00:37:38,279 Speaker 6: You know the fact that he's just throwing her in, 739 00:37:38,800 --> 00:37:42,040 Speaker 6: you know, connecting her to these things. I think, really, 740 00:37:42,400 --> 00:37:44,520 Speaker 6: I think this is a moment where we will really 741 00:37:44,600 --> 00:37:48,200 Speaker 6: be rewarded by really thinking critically about what people are 742 00:37:48,239 --> 00:37:50,480 Speaker 6: saying and what they're saying in between the lines. And 743 00:37:50,520 --> 00:37:54,960 Speaker 6: I think that really, to me demonstrates a tricky truth 744 00:37:55,080 --> 00:37:58,719 Speaker 6: about the nature of racialized and gender disinformation. I think 745 00:37:58,800 --> 00:38:01,560 Speaker 6: most people can tell you that there is misleading or 746 00:38:01,600 --> 00:38:04,520 Speaker 6: an accurate information out there about like COVID or vaccines, 747 00:38:04,880 --> 00:38:07,719 Speaker 6: But misinformation can be a lot trickier to spot and 748 00:38:07,800 --> 00:38:10,600 Speaker 6: talk about when it relies on dog whistles, you know, 749 00:38:10,640 --> 00:38:12,840 Speaker 6: the same way that someone might say like, oh, a 750 00:38:12,880 --> 00:38:16,280 Speaker 6: woman is too emotional to lead, and that's just code 751 00:38:16,280 --> 00:38:20,040 Speaker 6: for being a woman. Oftentimes people are using dog whistles 752 00:38:20,120 --> 00:38:24,560 Speaker 6: or coded language to attack women, women of color, and 753 00:38:24,600 --> 00:38:28,000 Speaker 6: other marginalized folks with this kind of like highly coded 754 00:38:28,080 --> 00:38:30,799 Speaker 6: language that can be so tough to really call out 755 00:38:30,880 --> 00:38:32,000 Speaker 6: and talk about for what it is. 756 00:38:32,360 --> 00:38:36,239 Speaker 2: Yeah, and it's such a again, it's one of those things. 757 00:38:36,320 --> 00:38:38,680 Speaker 2: It's such a double standard and it's so hypocritical. But 758 00:38:38,920 --> 00:38:42,000 Speaker 2: I think back to Cavanaugh, He's like crying these angry tears. 759 00:38:42,760 --> 00:38:44,320 Speaker 3: It's like confirmation. 760 00:38:45,920 --> 00:38:49,920 Speaker 2: Wait, this is what you're not gonna call him emotional notes. 761 00:38:50,320 --> 00:38:54,120 Speaker 3: He's being awarded for being emotional as a man because 762 00:38:54,120 --> 00:38:55,399 Speaker 3: that's difficult for. 763 00:38:55,400 --> 00:39:00,000 Speaker 1: Them because he's trying because he's being accused of sexual assault. Right. 764 00:39:02,280 --> 00:39:06,680 Speaker 6: Yes, isn't it funny how like we've we've branded anger 765 00:39:07,120 --> 00:39:09,840 Speaker 6: as not an emotion, so like women are too emotional? 766 00:39:09,880 --> 00:39:13,080 Speaker 6: It's like, well men, if men get angry in public, 767 00:39:13,360 --> 00:39:16,160 Speaker 6: is that not an emotion? And how come the too emotional? 768 00:39:16,600 --> 00:39:19,840 Speaker 6: You know, banner is not used to identify that as 769 00:39:19,880 --> 00:39:20,280 Speaker 6: an emotion. 770 00:39:20,920 --> 00:39:23,440 Speaker 3: Yes, Oh, I could talk about that forever. 771 00:39:25,560 --> 00:39:28,560 Speaker 1: What is the cartoon with all the emotions? 772 00:39:29,760 --> 00:39:30,399 Speaker 5: Inside out? 773 00:39:31,560 --> 00:39:34,839 Speaker 1: Well, inside out taught me different anger's emotion. I saw it. 774 00:39:35,840 --> 00:39:38,160 Speaker 3: I'm surprised. I just saw that you avoid those said 775 00:39:38,239 --> 00:39:39,120 Speaker 3: so do. 776 00:39:39,320 --> 00:39:43,560 Speaker 1: I cried, well, he'll again, I was said. Last night 777 00:39:43,600 --> 00:39:45,160 Speaker 1: and my partner tried to make me watch Paddington again. 778 00:39:45,160 --> 00:39:48,040 Speaker 1: I was like, how dare you? I cried, No, it 779 00:39:48,120 --> 00:39:50,400 Speaker 1: is it Paddington too. I didn't trust them after the 780 00:39:50,440 --> 00:39:50,839 Speaker 1: first one. 781 00:39:51,200 --> 00:39:53,600 Speaker 3: Anyway, that's fair. 782 00:39:54,480 --> 00:39:59,000 Speaker 2: Uh. Something else that I has been on my mind 783 00:39:59,040 --> 00:40:01,279 Speaker 2: and has been a source of frustration for a lot 784 00:40:01,280 --> 00:40:03,600 Speaker 2: of us, and that we've talked about on your segments 785 00:40:03,600 --> 00:40:05,480 Speaker 2: when you come on Bridge it is this kind of 786 00:40:05,520 --> 00:40:10,960 Speaker 2: what you mentioned is like not only is Judge Jackson 787 00:40:12,000 --> 00:40:16,880 Speaker 2: facing all of this like job interview that's very intensive, 788 00:40:16,920 --> 00:40:19,799 Speaker 2: But then there's all of these attacks online that are 789 00:40:20,200 --> 00:40:25,319 Speaker 2: racist and sexist, and I we've talked about it. It's 790 00:40:25,360 --> 00:40:28,360 Speaker 2: not unique to this area because we've talked about it 791 00:40:28,360 --> 00:40:29,800 Speaker 2: in terms of video games, so we've talked about it 792 00:40:29,800 --> 00:40:31,680 Speaker 2: in terms of entertainment. But I feel like that's already 793 00:40:31,680 --> 00:40:33,799 Speaker 2: a term of gatekeeping. That's already an extra thing you're 794 00:40:33,840 --> 00:40:36,440 Speaker 2: asking people and the people that know them, like their 795 00:40:36,480 --> 00:40:40,560 Speaker 2: families and friends, to deal with. And we just seem 796 00:40:40,640 --> 00:40:44,239 Speaker 2: to accept that as the status quo of being a 797 00:40:44,280 --> 00:40:48,839 Speaker 2: marginalized person that exists in our media landscape. 798 00:40:49,160 --> 00:40:53,200 Speaker 6: Absolutely, you know, I'm so glad that you put it 799 00:40:53,200 --> 00:40:56,120 Speaker 6: that way, because I think that we have this understanding 800 00:40:56,200 --> 00:40:58,160 Speaker 6: that it's just the cost of doing business as a 801 00:40:58,239 --> 00:41:01,000 Speaker 6: marginalized person. And if you don't want this kind of 802 00:41:01,080 --> 00:41:03,759 Speaker 6: thing to happen to you, then just don't speak and 803 00:41:03,800 --> 00:41:06,680 Speaker 6: don't express opinions, and don't strive, and don't put yourself 804 00:41:06,680 --> 00:41:08,520 Speaker 6: out there, and don't become a public figure and don't 805 00:41:08,520 --> 00:41:10,640 Speaker 6: serve your public, and don't like it's just a whole 806 00:41:10,640 --> 00:41:13,359 Speaker 6: list of dots. And so I really want to urge 807 00:41:13,400 --> 00:41:16,239 Speaker 6: people to have a shift around their understanding of that 808 00:41:16,320 --> 00:41:19,200 Speaker 6: and say, like, we deserve to have a media landscape 809 00:41:19,200 --> 00:41:21,719 Speaker 6: where everybody can speak up, everybody can participate, and that 810 00:41:21,920 --> 00:41:24,960 Speaker 6: you're not going to be attacked unfairly based on your 811 00:41:25,000 --> 00:41:27,279 Speaker 6: identity just for putting yourself out there. And so I 812 00:41:27,280 --> 00:41:29,719 Speaker 6: want to quickly talk about some research from the Institute 813 00:41:29,719 --> 00:41:32,719 Speaker 6: for Strategic Dialogue and they analyze social media abuse of 814 00:41:32,760 --> 00:41:35,600 Speaker 6: candidates and found that women of color candidates are targeted 815 00:41:35,680 --> 00:41:37,240 Speaker 6: on social media at alarming rates. 816 00:41:37,600 --> 00:41:39,160 Speaker 5: They analyze all these different. 817 00:41:38,880 --> 00:41:41,920 Speaker 6: Messages that these candidates were getting, and they found that 818 00:41:42,000 --> 00:41:45,359 Speaker 6: abusive messages accounted for more than fifteen percent of those 819 00:41:45,400 --> 00:41:48,720 Speaker 6: directed at every female lawmaker they analyze, compared with around 820 00:41:48,760 --> 00:41:51,640 Speaker 6: five to ten percent of the male candidates. Women of 821 00:41:51,680 --> 00:41:55,320 Speaker 6: color were particularly likely to be targeted. Representative Ilhan Omar 822 00:41:55,440 --> 00:41:58,840 Speaker 6: got the highest proportion thirty nine percent of abusive messages 823 00:41:58,880 --> 00:42:01,280 Speaker 6: of all the candidates, and AOC you got the highest 824 00:42:01,320 --> 00:42:04,319 Speaker 6: ratio of abusive comments on Facebook. And when you're talking 825 00:42:04,360 --> 00:42:07,520 Speaker 6: about women, the abuse directed towards women is much more 826 00:42:07,640 --> 00:42:10,000 Speaker 6: likely to be about their gender than the abuse that's 827 00:42:10,000 --> 00:42:13,080 Speaker 6: targeting men. Abuse targeting men was much more generalized and 828 00:42:13,120 --> 00:42:16,400 Speaker 6: focus on their political stances, while messages directed at women 829 00:42:16,600 --> 00:42:19,680 Speaker 6: were much more likely to focus on either appearance or 830 00:42:19,880 --> 00:42:23,080 Speaker 6: general competence. And so, yeah, I mean you, if you 831 00:42:23,120 --> 00:42:25,520 Speaker 6: are a woman or a marginalized person who is putting 832 00:42:25,560 --> 00:42:27,799 Speaker 6: yourself out there in this way, you deserve to be 833 00:42:27,880 --> 00:42:31,040 Speaker 6: judged on your merits, your record, your words, your deeds, 834 00:42:31,040 --> 00:42:35,560 Speaker 6: your values, not your identity, not racist sexist tropes, not 835 00:42:35,719 --> 00:42:38,759 Speaker 6: you know, nonsense about women or women of color not 836 00:42:38,880 --> 00:42:42,040 Speaker 6: being good leaders or being unqualified. You deserve to really 837 00:42:42,040 --> 00:42:44,480 Speaker 6: have your record speak for itself. And I have to 838 00:42:44,520 --> 00:42:47,160 Speaker 6: say it's not just sort of I talk a lot 839 00:42:47,160 --> 00:42:52,120 Speaker 6: about you know, online bad actors. It's not just fringe extremists. 840 00:42:52,120 --> 00:42:56,040 Speaker 6: We also see mainstream media outlets playing a huge role 841 00:42:56,360 --> 00:43:00,160 Speaker 6: in legitimizing and mainstreaming racist, sexist attacks on women of 842 00:43:00,160 --> 00:43:02,960 Speaker 6: color in public office. And so you know, you might 843 00:43:03,000 --> 00:43:06,440 Speaker 6: see things like an article about some complete racist nonsense 844 00:43:06,520 --> 00:43:10,800 Speaker 6: or a complete racist attack being quoted in the headline 845 00:43:10,800 --> 00:43:12,880 Speaker 6: of an article so that when people share it on 846 00:43:12,920 --> 00:43:15,840 Speaker 6: social media, it provides the impression that this is a 847 00:43:15,920 --> 00:43:18,360 Speaker 6: legitimate grievance that somebody might have instead of just a 848 00:43:18,480 --> 00:43:19,240 Speaker 6: racist attack. 849 00:43:19,320 --> 00:43:20,600 Speaker 5: Right, And so we are. 850 00:43:20,560 --> 00:43:24,920 Speaker 6: Really calling on media to not create the conditions for 851 00:43:25,040 --> 00:43:28,560 Speaker 6: these kind of racist sexist attacks to fester and spread. Right, 852 00:43:28,600 --> 00:43:32,120 Speaker 6: I think that this is a time that really requires everybody, 853 00:43:32,120 --> 00:43:34,600 Speaker 6: whether you are a journalist or an editor or just 854 00:43:34,719 --> 00:43:37,880 Speaker 6: a regular person on social media, to really be careful 855 00:43:38,000 --> 00:43:42,960 Speaker 6: and thoughtful about how you are talking about this very 856 00:43:43,040 --> 00:43:45,879 Speaker 6: visible black woman who is going up for this very 857 00:43:45,920 --> 00:43:47,399 Speaker 6: visible position in the Supreme Court. 858 00:43:47,840 --> 00:43:50,359 Speaker 1: Okay, I feel like you just let us into this. 859 00:43:50,600 --> 00:43:55,160 Speaker 1: So tell us the listeners and us voters and constituents 860 00:43:55,320 --> 00:43:59,160 Speaker 1: who are here to not only look and see and 861 00:43:59,280 --> 00:44:02,799 Speaker 1: view be the audience, but participate in help stopping this 862 00:44:03,280 --> 00:44:07,000 Speaker 1: harmful disinformation. What do we need to do to make 863 00:44:07,040 --> 00:44:09,640 Speaker 1: sure that we are not only engaging in that, but 864 00:44:09,719 --> 00:44:11,480 Speaker 1: not being a part of that, but not spreading that. 865 00:44:12,040 --> 00:44:13,200 Speaker 5: Oh, I'm so glad you asked. So. 866 00:44:13,280 --> 00:44:16,240 Speaker 6: First, it's just you know, if you see like a 867 00:44:16,280 --> 00:44:20,840 Speaker 6: harmful racist sexist attack or a conspiracy theory, first and foremost, 868 00:44:20,840 --> 00:44:23,000 Speaker 6: don't spread it. Nine times out of tenant you see 869 00:44:23,000 --> 00:44:25,520 Speaker 6: this kind of thing, if you retweet it or like 870 00:44:25,640 --> 00:44:28,800 Speaker 6: comment on it, you're actually just helping it grow and spread. 871 00:44:28,880 --> 00:44:29,359 Speaker 5: Because of the. 872 00:44:29,320 --> 00:44:31,960 Speaker 6: Algorithmic nature of most of our social media platforms and 873 00:44:32,000 --> 00:44:34,120 Speaker 6: so the platform is going to think like, oh, this 874 00:44:34,160 --> 00:44:36,200 Speaker 6: person is engaging with this, it must be good content. 875 00:44:36,239 --> 00:44:38,520 Speaker 6: I'm going to surface it for more people. So don't 876 00:44:38,520 --> 00:44:43,520 Speaker 6: do that. Focus instead on sharing accurate, timely information about 877 00:44:43,560 --> 00:44:46,600 Speaker 6: the issues and the candidates. Right, So, talk to people 878 00:44:46,719 --> 00:44:50,640 Speaker 6: about Judge Jackson's actual record, talk to people about her 879 00:44:50,680 --> 00:44:53,839 Speaker 6: actual positions and where she actually stands. That will kind 880 00:44:53,840 --> 00:44:56,640 Speaker 6: of provide a little bit of taking the oxygen out 881 00:44:56,680 --> 00:44:59,640 Speaker 6: of the kinds of racist, sexist, gendered attacks we are 882 00:44:59,680 --> 00:45:02,239 Speaker 6: short to see. You can go to we are ultraviolet 883 00:45:02,280 --> 00:45:05,400 Speaker 6: dot org and check out our media kit. Really asking 884 00:45:05,440 --> 00:45:08,160 Speaker 6: for the media to create the conditions for this person 885 00:45:08,200 --> 00:45:11,200 Speaker 6: to be you know, fairly judged and fairly talked about 886 00:45:11,200 --> 00:45:15,160 Speaker 6: and fairly assessed by the American public. And also the 887 00:45:15,239 --> 00:45:18,239 Speaker 6: last one I would say is like, just really ask 888 00:45:18,400 --> 00:45:20,359 Speaker 6: questions and be be I think this is a time 889 00:45:20,400 --> 00:45:23,320 Speaker 6: where we will really be rewarded if we are interested 890 00:45:23,320 --> 00:45:26,719 Speaker 6: in being critical thinkers. Right, So, when someone says like, oh, 891 00:45:26,800 --> 00:45:29,480 Speaker 6: she's too radical, but can't give you a single thing 892 00:45:29,520 --> 00:45:32,200 Speaker 6: that backs up what they're saying, or when someone says like, oh, 893 00:45:32,239 --> 00:45:34,239 Speaker 6: she's just going to be really woke, you know, really 894 00:45:34,320 --> 00:45:36,239 Speaker 6: being able to ask you know what do you mean 895 00:45:36,239 --> 00:45:36,520 Speaker 6: by that? 896 00:45:36,760 --> 00:45:38,759 Speaker 5: Is when you say woke? Like, what does that mean? 897 00:45:38,760 --> 00:45:39,719 Speaker 5: What are you trying to say? 898 00:45:39,880 --> 00:45:42,239 Speaker 6: I have found that to be really useful when I'm 899 00:45:42,280 --> 00:45:45,640 Speaker 6: having conversations, particularly with people that may not be aligned 900 00:45:45,680 --> 00:45:49,120 Speaker 6: with me politically, you know, really getting down to what 901 00:45:49,239 --> 00:45:51,680 Speaker 6: is the substantive thing that you are trying to say. 902 00:45:51,920 --> 00:45:53,920 Speaker 5: And if the answer is, well, I just. 903 00:45:53,880 --> 00:45:55,360 Speaker 6: Don't like her because she's a black woman and I 904 00:45:55,360 --> 00:45:57,920 Speaker 6: don't like black women, then say that so we can 905 00:45:58,040 --> 00:45:59,879 Speaker 6: so we can you know, address that for. 906 00:45:59,880 --> 00:46:00,520 Speaker 5: What it is. 907 00:46:02,080 --> 00:46:03,959 Speaker 1: Be loud about it, because you know you're already pretty 908 00:46:04,000 --> 00:46:04,640 Speaker 1: much saying. 909 00:46:04,440 --> 00:46:06,640 Speaker 5: It right, like say it? What's your chest? 910 00:46:06,640 --> 00:46:08,480 Speaker 1: If you're gonna say it right, like, just do it, 911 00:46:08,960 --> 00:46:11,759 Speaker 1: you're already doing it. It feels hypocritical for me to 912 00:46:11,800 --> 00:46:14,680 Speaker 1: ask this, so I apologize from the jump, But as 913 00:46:15,080 --> 00:46:20,560 Speaker 1: non black women and for our male identifying listeners, what 914 00:46:20,640 --> 00:46:24,440 Speaker 1: can we do to make sure because we know, we 915 00:46:24,520 --> 00:46:28,279 Speaker 1: already know black women are stressed the out But the 916 00:46:28,320 --> 00:46:30,640 Speaker 1: fact of the matter is with this is going to 917 00:46:30,640 --> 00:46:33,719 Speaker 1: come on to so many more attacks is visceral. We 918 00:46:34,000 --> 00:46:36,040 Speaker 1: know what's going to happen, We know it, and it's 919 00:46:36,040 --> 00:46:37,680 Speaker 1: going to be harmful. And it's going to be gross. 920 00:46:38,000 --> 00:46:39,719 Speaker 1: And not only should we do all the things that 921 00:46:39,760 --> 00:46:41,680 Speaker 1: you told us to do, but what can we do 922 00:46:42,120 --> 00:46:48,360 Speaker 1: to ease the load a but help fight for y'all? 923 00:46:48,520 --> 00:46:49,160 Speaker 1: In general? 924 00:46:50,200 --> 00:46:51,160 Speaker 5: I love this question. 925 00:46:51,360 --> 00:46:54,360 Speaker 6: I would say, first of all, it's probably a tall order, 926 00:46:54,400 --> 00:46:58,000 Speaker 6: but I would love to see a shift where we 927 00:46:58,160 --> 00:47:01,440 Speaker 6: understand that this spite is all of our fight, like 928 00:47:01,960 --> 00:47:04,120 Speaker 6: we are the you know, the more marginalized you are, 929 00:47:04,160 --> 00:47:06,400 Speaker 6: the more you are a target. But this kind of 930 00:47:06,400 --> 00:47:09,080 Speaker 6: thing really harms us all, and so I think seeing 931 00:47:09,120 --> 00:47:11,799 Speaker 6: this work as all of our work to create a 932 00:47:11,840 --> 00:47:16,160 Speaker 6: healthy democracy is really key. And so these kinds of attacks, 933 00:47:16,200 --> 00:47:18,640 Speaker 6: they don't just hurt the women that are subjected to them, 934 00:47:18,960 --> 00:47:23,279 Speaker 6: they really have a meaningful impact on the health and 935 00:47:23,320 --> 00:47:26,520 Speaker 6: well being of our democracy because we can't have a 936 00:47:26,560 --> 00:47:31,040 Speaker 6: fully functioning representative democracy if everybody is not able to 937 00:47:31,320 --> 00:47:33,759 Speaker 6: use their voice, if everybody is not able to participate, 938 00:47:33,800 --> 00:47:36,920 Speaker 6: and so step one of that really comes with having 939 00:47:36,920 --> 00:47:40,640 Speaker 6: a healthy media ecosystem and a healthy climate for everybody 940 00:47:40,680 --> 00:47:42,799 Speaker 6: to be able to participate. And so I would say, 941 00:47:42,840 --> 00:47:47,359 Speaker 6: really working to see these attacks on marginalized people as 942 00:47:47,520 --> 00:47:49,320 Speaker 6: all of our fight, because all of us are invested 943 00:47:49,360 --> 00:47:52,000 Speaker 6: in having a healthy democracy, whether you are a man, 944 00:47:52,040 --> 00:47:55,440 Speaker 6: a woman, black, white, like, it is all of our fight. 945 00:47:55,400 --> 00:47:57,560 Speaker 5: And so really being able to. 946 00:47:59,480 --> 00:48:02,480 Speaker 6: See this as something that you're meaningfully invested in, not 947 00:48:02,520 --> 00:48:04,239 Speaker 6: just because it's the right thing to do, which it is, 948 00:48:04,360 --> 00:48:07,799 Speaker 6: but because we all deserve to have a functioning democracy. 949 00:48:08,840 --> 00:48:12,239 Speaker 2: Yes, I love it, well said as always, bridget any 950 00:48:12,239 --> 00:48:16,520 Speaker 2: other resources you want to shout out any final thoughts. 951 00:48:16,200 --> 00:48:16,759 Speaker 5: Yeah, I would. 952 00:48:16,760 --> 00:48:19,560 Speaker 6: I have to just again shout out the work of 953 00:48:19,600 --> 00:48:22,719 Speaker 6: Cisti Scotus. They have been really doing a lot of 954 00:48:22,760 --> 00:48:26,440 Speaker 6: the work of building this infrastructure to hold Biden accountable 955 00:48:26,480 --> 00:48:28,880 Speaker 6: for this campaign promise that he made. So their website 956 00:48:28,920 --> 00:48:30,640 Speaker 6: is awesome, The women who run it are awesome, so 957 00:48:30,680 --> 00:48:33,600 Speaker 6: definitely check them out. You can check out Ultra Violet's work. 958 00:48:33,800 --> 00:48:35,160 Speaker 6: You know, we are doing a lot of the work 959 00:48:35,160 --> 00:48:39,879 Speaker 6: of trying to inoculate folks against disinformation and like help 960 00:48:39,920 --> 00:48:42,400 Speaker 6: people spot it when they see it and identify it. 961 00:48:42,440 --> 00:48:44,560 Speaker 6: So can check us out at we are ultraviolet dot org. 962 00:48:44,880 --> 00:48:48,160 Speaker 6: And of course you can always check out my podcast. 963 00:48:47,840 --> 00:48:49,120 Speaker 5: There are No Girls on the Internet. 964 00:48:49,600 --> 00:48:53,000 Speaker 6: Check out our new season which is dropping March first, 965 00:48:53,120 --> 00:48:54,680 Speaker 6: and yeah, we would love to have you there. 966 00:48:55,120 --> 00:48:58,200 Speaker 3: Yes, yes, award winning podcasts. 967 00:48:58,440 --> 00:49:01,080 Speaker 1: Yes, I haven't pbscribe button already? 968 00:49:01,120 --> 00:49:02,319 Speaker 3: Why? 969 00:49:02,680 --> 00:49:06,080 Speaker 5: Yes, yes, I agree? Why what are you waiting for? 970 00:49:06,280 --> 00:49:09,560 Speaker 2: What are you doing with your life? 971 00:49:11,040 --> 00:49:11,279 Speaker 5: Yes? 972 00:49:11,400 --> 00:49:15,520 Speaker 2: Which as this episode releases, that should just be airing 973 00:49:15,600 --> 00:49:19,840 Speaker 2: so perfectly timely, very exciting, and we can't wait to 974 00:49:19,880 --> 00:49:20,520 Speaker 2: talk to you again. 975 00:49:20,600 --> 00:49:22,640 Speaker 3: Bridget. Thank you, thank you, thank you so much as 976 00:49:22,640 --> 00:49:23,680 Speaker 3: always for being here. 977 00:49:24,000 --> 00:49:25,279 Speaker 1: You are the best. We love you. 978 00:49:25,760 --> 00:49:26,920 Speaker 5: Thank you so much for having me. 979 00:49:26,960 --> 00:49:29,279 Speaker 6: It's been kind of fun talking about this like very 980 00:49:29,280 --> 00:49:32,120 Speaker 6: timely issue that is like happening today as opposed to 981 00:49:32,680 --> 00:49:33,480 Speaker 6: looking back on it. 982 00:49:33,520 --> 00:49:35,400 Speaker 5: So thank you for giving me the space to do that. 983 00:49:36,200 --> 00:49:40,480 Speaker 2: Yes, absolutely anytime, and thank you listeners for listening. If 984 00:49:40,480 --> 00:49:42,400 Speaker 2: you would like to contact us, you can Our email 985 00:49:42,440 --> 00:49:44,359 Speaker 2: is stuff to You mom Stuff at iHeartMedia dot com. 986 00:49:44,440 --> 00:49:46,040 Speaker 2: You can find us on Twitter at mom Stuff podcast 987 00:49:46,120 --> 00:49:47,600 Speaker 2: or on Instagram at stuff I've Never Told You. 988 00:49:47,680 --> 00:49:49,640 Speaker 3: Thanks is always to our super producer Christie. 989 00:49:49,680 --> 00:49:51,280 Speaker 1: We love you, do Christta. 990 00:49:51,440 --> 00:49:54,160 Speaker 2: Yes, You're the best. We love you, and thanks to 991 00:49:54,200 --> 00:49:55,800 Speaker 2: you for listening. Stuff I Ever told you. Disquction of 992 00:49:55,800 --> 00:49:57,759 Speaker 2: iHeart Radio. For more podcasts from my Heart Radio, visit 993 00:49:57,800 --> 00:49:59,319 Speaker 2: that heart radio app. I have a podcast or where 994 00:49:59,400 --> 00:50:00,520 Speaker 2: we listened toavorite shows,