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