1 00:00:04,160 --> 00:00:05,880 Speaker 1: There Are No Girls on the Internet as a production 2 00:00:05,920 --> 00:00:13,440 Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridge Todd, and this 3 00:00:13,520 --> 00:00:18,919 Speaker 1: is there Are No Girls on the Internet. I have 4 00:00:19,040 --> 00:00:23,680 Speaker 1: been so deep into this story out of the Bath Does, Mike. 5 00:00:23,720 --> 00:00:24,640 Speaker 1: Have you been following this? 6 00:00:25,040 --> 00:00:27,800 Speaker 2: I admit that I was not until you brought it 7 00:00:27,800 --> 00:00:31,640 Speaker 2: to my attention, and then it's been like a pretty 8 00:00:31,680 --> 00:00:35,360 Speaker 2: steady stream of updates from you. And the Bath Does 9 00:00:35,400 --> 00:00:37,920 Speaker 2: are not something that I've ever paid attention to in 10 00:00:37,960 --> 00:00:43,559 Speaker 2: the past, but this story, like it has gotten to me, 11 00:00:43,600 --> 00:00:47,000 Speaker 2: and so yeah, I am now following this pretty closely. 12 00:00:47,200 --> 00:00:50,400 Speaker 1: I feel you're under selling how much I have been 13 00:00:51,640 --> 00:00:53,760 Speaker 1: updating you on a story that you were like, I 14 00:00:53,800 --> 00:00:55,760 Speaker 1: didn't see it. I'm not really familiar with what you're 15 00:00:55,800 --> 00:00:59,120 Speaker 1: talking about. I just came back from on Air Festival 16 00:00:59,400 --> 00:01:02,360 Speaker 1: in New York, which is a podcast conference, and as 17 00:01:02,600 --> 00:01:06,360 Speaker 1: you and I were, TECH had been texting previously before 18 00:01:06,400 --> 00:01:08,440 Speaker 1: my flight about the show and the plan for the 19 00:01:08,480 --> 00:01:11,119 Speaker 1: show while I was traveling. My fight was very early 20 00:01:11,160 --> 00:01:13,880 Speaker 1: in the morning. I'm in the plane on the tarmac 21 00:01:13,959 --> 00:01:17,080 Speaker 1: at like five point thirty in the morning, and right 22 00:01:17,120 --> 00:01:20,440 Speaker 1: before we take off, I text you, BAFT does update 23 00:01:20,640 --> 00:01:23,039 Speaker 1: the President of the Baptist is Prince William. 24 00:01:25,280 --> 00:01:28,440 Speaker 2: How deep does this thing go? At a certain point, 25 00:01:28,440 --> 00:01:31,280 Speaker 2: I just had to like get on board, right, like 26 00:01:31,319 --> 00:01:34,880 Speaker 2: the updates were going to keep coming, so uh yes, 27 00:01:35,000 --> 00:01:36,760 Speaker 2: I just like got on board and it's it's like 28 00:01:36,800 --> 00:01:37,880 Speaker 2: quite a story. 29 00:01:37,720 --> 00:01:41,720 Speaker 1: So for folks who missed it somehow. John Davidson is 30 00:01:41,760 --> 00:01:45,560 Speaker 1: a Scottish Turet syndrome activist and the real life inspiration 31 00:01:45,680 --> 00:01:48,840 Speaker 1: for this movie I Swear. I Swear is this movie 32 00:01:48,920 --> 00:01:53,400 Speaker 1: that is a fictionalized version of his real life experiences 33 00:01:53,560 --> 00:01:56,800 Speaker 1: as somebody with Turett's. He was there at the baft Does, 34 00:01:56,840 --> 00:01:58,320 Speaker 1: which you can sort of think of as like the 35 00:01:58,320 --> 00:02:02,680 Speaker 1: British Oscars to celebrate this film. Davidson has a particular 36 00:02:02,880 --> 00:02:07,800 Speaker 1: type of Turets called coprolalia, which involves the involuntary use 37 00:02:07,880 --> 00:02:11,680 Speaker 1: of obscene or offensive language. A lot of depictions of 38 00:02:11,720 --> 00:02:15,960 Speaker 1: turets in media focuses on this specific kind, even though 39 00:02:16,160 --> 00:02:19,680 Speaker 1: this symptom only atfexts ten to thirty percent of people 40 00:02:19,760 --> 00:02:24,280 Speaker 1: with the condition and it's not a criterion for diagnosis. Now, importantly, 41 00:02:24,800 --> 00:02:28,840 Speaker 1: these tics are involuntary. People with this condition are not 42 00:02:29,080 --> 00:02:33,119 Speaker 1: in control of them. So while the cast of Sinners. 43 00:02:33,160 --> 00:02:36,799 Speaker 1: Delroy Lindo and Michael B. Johnson were on stage at 44 00:02:36,800 --> 00:02:40,560 Speaker 1: the bath as presenting an award. Davidson had one of 45 00:02:40,600 --> 00:02:44,920 Speaker 1: these uncontrollable tics and screamed out the N word twice. 46 00:02:45,520 --> 00:02:48,240 Speaker 1: Delroy Lindo and Michael B. Johnson are black. They were 47 00:02:48,280 --> 00:02:51,720 Speaker 1: there celebrating the film Sinners, which is historic in the 48 00:02:51,760 --> 00:02:54,720 Speaker 1: way that it has been nominated for awards and really 49 00:02:55,240 --> 00:02:59,080 Speaker 1: is just a phenomenal police of black art. So there 50 00:02:59,160 --> 00:03:02,600 Speaker 1: is video of this happening that was circulating on social media. 51 00:03:03,280 --> 00:03:05,360 Speaker 1: It's horrible. There's no other way to put it. You 52 00:03:05,400 --> 00:03:10,240 Speaker 1: can see Michael B. Jordan and Lindo's faces drop and 53 00:03:10,280 --> 00:03:15,880 Speaker 1: they're clearly it's it's just a tough moment. Sinner's production 54 00:03:16,000 --> 00:03:19,160 Speaker 1: designer Hannah Beechler, a black woman, said the same thing 55 00:03:19,280 --> 00:03:23,120 Speaker 1: happened to her backstage, but it was not televised. Side note. 56 00:03:23,520 --> 00:03:27,080 Speaker 1: Google even had to apologize after a news alert about 57 00:03:27,080 --> 00:03:30,560 Speaker 1: what happened actually used the N words spelled it out 58 00:03:30,600 --> 00:03:33,160 Speaker 1: in the news alert. Google sent out a push notification 59 00:03:33,639 --> 00:03:36,760 Speaker 1: linking to a Hollywood Reporter article about the situation, which 60 00:03:36,800 --> 00:03:39,920 Speaker 1: had the headline how the turrets falled out unfolded at 61 00:03:39,960 --> 00:03:42,880 Speaker 1: the baft of Film Awards. The alert that invited people 62 00:03:42,920 --> 00:03:46,920 Speaker 1: to see more on N word, but it spelled out 63 00:03:46,960 --> 00:03:52,400 Speaker 1: the actual word. So yeah, no bueno, not great, not great. 64 00:03:52,640 --> 00:03:55,920 Speaker 2: That is pretty wild that that happened. Like, I don't 65 00:03:57,000 --> 00:03:59,120 Speaker 2: it's this is just like a side digression from like 66 00:03:59,200 --> 00:04:02,720 Speaker 2: the main story. But it's like amazing that Google would 67 00:04:02,800 --> 00:04:06,480 Speaker 2: do that, you know, like it's Google. You would think 68 00:04:06,520 --> 00:04:09,120 Speaker 2: they would have a list of words that they weren't 69 00:04:09,160 --> 00:04:13,120 Speaker 2: gonna print. It's it. It's like an interesting story in itself, 70 00:04:13,160 --> 00:04:15,960 Speaker 2: but it's a side story. So back to the main story. 71 00:04:16,120 --> 00:04:19,279 Speaker 1: Yes, the Google thing reminds me of a much lighter 72 00:04:19,320 --> 00:04:22,200 Speaker 1: and brighter day on social media, which was the day 73 00:04:22,240 --> 00:04:26,240 Speaker 1: that Yahoo tweeted about the N word navy. They were 74 00:04:26,240 --> 00:04:28,800 Speaker 1: trying to say bigger navy, but they slipped an inn 75 00:04:28,800 --> 00:04:31,599 Speaker 1: in there, And if you were on wood, that was 76 00:04:31,640 --> 00:04:34,400 Speaker 1: like a og black Twitter day. That was probably my 77 00:04:34,480 --> 00:04:36,520 Speaker 1: I don't think it happened while I was at work. 78 00:04:36,520 --> 00:04:38,719 Speaker 1: I don't think a single liquor work got done that day. 79 00:04:39,160 --> 00:04:43,279 Speaker 2: I mean, you're also burying the lead of like the 80 00:04:43,320 --> 00:04:45,560 Speaker 2: headline was Obama wants a. 81 00:04:47,760 --> 00:04:49,760 Speaker 1: And then the headline they were trying to say was 82 00:04:50,000 --> 00:04:53,480 Speaker 1: Obama wants a bigger navy, and instead of a B, 83 00:04:53,680 --> 00:04:57,400 Speaker 1: they used an N. And the whole Black Internet just 84 00:04:57,480 --> 00:04:59,120 Speaker 1: was cutting up that day, and it was it was 85 00:04:59,240 --> 00:05:05,000 Speaker 1: hilarious about the Baptist situation. I went through a real 86 00:05:05,360 --> 00:05:07,599 Speaker 1: evolution on this, as I feel like I kind of 87 00:05:07,600 --> 00:05:11,440 Speaker 1: took you along on my evolution in the passenger seat. 88 00:05:12,040 --> 00:05:14,919 Speaker 1: I did not love a lot of the reaction to 89 00:05:15,000 --> 00:05:17,960 Speaker 1: what happened online. I had to do my own looking 90 00:05:18,000 --> 00:05:20,080 Speaker 1: into this, and something that I learned that I did 91 00:05:20,080 --> 00:05:23,400 Speaker 1: not know is that coke prolalia is not just the 92 00:05:23,520 --> 00:05:28,960 Speaker 1: involuntary shouting of random swears. The brain actually gives you 93 00:05:29,040 --> 00:05:33,040 Speaker 1: a sense of what the absolute worst thing to contextually 94 00:05:33,080 --> 00:05:35,960 Speaker 1: say in any given moment would be to say, and 95 00:05:36,000 --> 00:05:39,000 Speaker 1: then that's what the tick can be. And so it's 96 00:05:39,040 --> 00:05:42,880 Speaker 1: not just random swears. It's the absolute worst thing that 97 00:05:42,920 --> 00:05:44,919 Speaker 1: you could say in any given situation that could be 98 00:05:44,960 --> 00:05:48,640 Speaker 1: the tick. That was new information to me, and it 99 00:05:48,720 --> 00:05:52,520 Speaker 1: does it is hard not to mention just incorrect. To 100 00:05:52,560 --> 00:05:56,320 Speaker 1: see people say, oh, well, this person meant what they said. 101 00:05:56,480 --> 00:05:59,239 Speaker 1: I have seen some of that reaction. To be clear, 102 00:05:59,720 --> 00:06:02,400 Speaker 1: it is not as if having this condition means that 103 00:06:02,440 --> 00:06:06,080 Speaker 1: a person can't also be racist. Or an asshole on 104 00:06:06,120 --> 00:06:10,000 Speaker 1: top of it. But someone's ticks are not representative of 105 00:06:10,040 --> 00:06:13,000 Speaker 1: how they actually feel, and that's just the bottom line. 106 00:06:13,040 --> 00:06:15,320 Speaker 1: That's all there is to it. So I really feel 107 00:06:15,400 --> 00:06:19,159 Speaker 1: for Davidson that people are essentially saying that he must 108 00:06:19,240 --> 00:06:22,039 Speaker 1: be a racist because of this tick. So that's one 109 00:06:22,080 --> 00:06:24,320 Speaker 1: piece of it that I think is important to sort 110 00:06:24,320 --> 00:06:28,480 Speaker 1: of ground the conversation in the other piece of it 111 00:06:28,520 --> 00:06:31,720 Speaker 1: is that I think some of the big reactions that 112 00:06:31,800 --> 00:06:35,320 Speaker 1: this sparked is really just a function of the baseline 113 00:06:36,480 --> 00:06:39,920 Speaker 1: difficulty of being a black person, let alone a black creative, 114 00:06:40,480 --> 00:06:43,719 Speaker 1: when you have to endure so much disrespect in a 115 00:06:43,760 --> 00:06:47,800 Speaker 1: field where you're already marginalized and treated as less than 116 00:06:48,760 --> 00:06:53,520 Speaker 1: you know. Delroy Lindo, who is in Sinners, I saw 117 00:06:53,560 --> 00:06:57,320 Speaker 1: a video from a different red carpet earlier this month 118 00:06:57,400 --> 00:06:59,240 Speaker 1: where he was being interviewed on a red carpet, and 119 00:06:59,279 --> 00:07:02,640 Speaker 1: the person interviewing him essentially said, how does it feel 120 00:07:02,680 --> 00:07:06,720 Speaker 1: to be older and be having this newfound success in 121 00:07:06,760 --> 00:07:12,120 Speaker 1: Hollywood with Sinners? And anybody who knows anything about black 122 00:07:12,360 --> 00:07:15,200 Speaker 1: film will tell you that Delroy Lindo has had a 123 00:07:15,360 --> 00:07:18,920 Speaker 1: decade long career. He is one of our Elders. I 124 00:07:19,080 --> 00:07:22,760 Speaker 1: first saw Delroy Lindo as the father in the Spike 125 00:07:22,840 --> 00:07:25,560 Speaker 1: Lee movie Crooklyn, which it's a Spike Lee film that 126 00:07:25,640 --> 00:07:29,720 Speaker 1: does not get the celebration that it should because it's beautiful. 127 00:07:29,760 --> 00:07:31,920 Speaker 1: It's like one of my favorite movies, probably my favorite 128 00:07:31,920 --> 00:07:34,280 Speaker 1: Spike Lee film, which is saying a lot. He was 129 00:07:34,400 --> 00:07:39,560 Speaker 1: in that movie in like nineteen ninety four, right, So saying, oh, 130 00:07:39,720 --> 00:07:43,960 Speaker 1: you five, you're new in Hollywood just shows you don't 131 00:07:43,960 --> 00:07:47,240 Speaker 1: know who I am, because you don't you are. You 132 00:07:47,240 --> 00:07:49,240 Speaker 1: are doing a Red Harvard interview and you've not bothered 133 00:07:49,280 --> 00:07:51,760 Speaker 1: to learn the history of the black talent that you're 134 00:07:51,800 --> 00:07:55,000 Speaker 1: going to be interviewing, which is disrespectful. So I think 135 00:07:55,040 --> 00:07:58,320 Speaker 1: that it's just a sensitive issue. On top of it 136 00:07:58,400 --> 00:08:02,480 Speaker 1: being a super sem and delicate time. There are just 137 00:08:02,520 --> 00:08:05,880 Speaker 1: so many pain points for our community right now. I 138 00:08:05,920 --> 00:08:09,840 Speaker 1: think that is why we are seeing such a reaction, 139 00:08:10,520 --> 00:08:13,520 Speaker 1: And so I really don't like a lot of the 140 00:08:13,560 --> 00:08:16,440 Speaker 1: reaction that I've seen that basically suggests that black folks 141 00:08:16,440 --> 00:08:20,400 Speaker 1: are sort of overreacting to the impact of what happened, 142 00:08:20,440 --> 00:08:24,360 Speaker 1: because I simply cannot express to you how mortifying this 143 00:08:24,440 --> 00:08:27,000 Speaker 1: must have been for the Sinner's team, and I just 144 00:08:27,120 --> 00:08:31,040 Speaker 1: don't accept the reaction that says, oh, black people have 145 00:08:31,120 --> 00:08:35,079 Speaker 1: to be okay with hearing slurs at a ceremony, because 146 00:08:35,520 --> 00:08:39,280 Speaker 1: ultimately that's not fair to the black talent that's there, 147 00:08:39,679 --> 00:08:43,839 Speaker 1: and it's not fair to Davidson either, because I don't 148 00:08:43,840 --> 00:08:46,000 Speaker 1: believe that in that's not inclusion. 149 00:08:46,040 --> 00:08:46,240 Speaker 3: To me. 150 00:08:46,679 --> 00:08:49,960 Speaker 1: I think it is great that Davidson was included in 151 00:08:49,960 --> 00:08:54,360 Speaker 1: this event, but you know that's saying you know, diversity 152 00:08:54,480 --> 00:08:57,559 Speaker 1: is being invited to a dance. Inclusion is being asked 153 00:08:57,640 --> 00:09:00,720 Speaker 1: to dance at that dance. I feel like the Baftis 154 00:09:01,960 --> 00:09:04,280 Speaker 1: invited him to a dance and then did not dance 155 00:09:04,360 --> 00:09:08,280 Speaker 1: with him. And real inclusion does not pit different marginalized 156 00:09:08,280 --> 00:09:11,160 Speaker 1: groups as needs against each other. And the thing is, 157 00:09:11,280 --> 00:09:14,560 Speaker 1: ultimately it does not have to be this way, and 158 00:09:15,160 --> 00:09:18,640 Speaker 1: who made it that way. It was not Davidson, because 159 00:09:18,800 --> 00:09:21,720 Speaker 1: Davidson has a condition where he is not in control 160 00:09:22,040 --> 00:09:26,720 Speaker 1: of the ticks. It's obviously not that Sinners cast. It's 161 00:09:26,760 --> 00:09:31,080 Speaker 1: the Baftis and it's the BBC, the company that aired 162 00:09:31,200 --> 00:09:33,840 Speaker 1: the Baptist. That is who we should be angry at. 163 00:09:34,080 --> 00:09:37,319 Speaker 1: That is who let everybody in that room down, because 164 00:09:37,360 --> 00:09:41,360 Speaker 1: this was an institutional failure of the highest level, and 165 00:09:41,679 --> 00:09:44,000 Speaker 1: I think people should be fired. I cannot believe that 166 00:09:44,040 --> 00:09:49,080 Speaker 1: we are not seeing, you know, groveling fucking apologies on 167 00:09:49,280 --> 00:09:54,880 Speaker 1: television for this monumental failure to the point where I mean, 168 00:09:54,960 --> 00:09:57,360 Speaker 1: it might sound like a conspiracy theory, and I have 169 00:09:57,920 --> 00:10:01,040 Speaker 1: no inside and information. I've just done a lot of 170 00:10:01,080 --> 00:10:04,760 Speaker 1: reading about what happened here, and I might be wrong, 171 00:10:04,800 --> 00:10:07,760 Speaker 1: and if I'm wrong, I will eat my words. I 172 00:10:07,800 --> 00:10:11,400 Speaker 1: think the Baptist set Davidson up. I think this was 173 00:10:12,720 --> 00:10:14,800 Speaker 1: you were actually the one that kind of called this. 174 00:10:15,240 --> 00:10:16,680 Speaker 1: I don't know if I would say I was giving 175 00:10:16,720 --> 00:10:20,079 Speaker 1: him the benefit of the doubt. I thought maybe they 176 00:10:20,280 --> 00:10:26,520 Speaker 1: the BAFTAs were trying super hard to include Davidson and 177 00:10:26,720 --> 00:10:30,840 Speaker 1: were making the mistake of saying the way that we 178 00:10:30,840 --> 00:10:34,400 Speaker 1: include Davidson is just to invite him and have no 179 00:10:34,640 --> 00:10:38,640 Speaker 1: other support mechanisms in place for whatever whatever that might 180 00:10:38,800 --> 00:10:41,680 Speaker 1: result in. You were like, I wonder if this was 181 00:10:41,720 --> 00:10:46,439 Speaker 1: intentional to get eyeballs and attention, and I thought, that's 182 00:10:46,880 --> 00:10:50,240 Speaker 1: that couldn't possibly be. You've made us truth through out 183 00:10:50,240 --> 00:10:52,319 Speaker 1: of me. I believe that this was intentional. 184 00:10:52,480 --> 00:10:55,199 Speaker 2: I didn't know. Again, I didn't know anything about the 185 00:10:55,280 --> 00:10:59,000 Speaker 2: baft does the the people who are producing this, but 186 00:10:59,120 --> 00:11:04,319 Speaker 2: just like the fact that are reported in newspapers paint 187 00:11:04,360 --> 00:11:05,720 Speaker 2: a pretty damning portrait. 188 00:11:06,000 --> 00:11:10,000 Speaker 1: Let's talk about it. So here's what we know. We 189 00:11:10,120 --> 00:11:13,040 Speaker 1: know that the Baptis warned the audience that they might 190 00:11:13,120 --> 00:11:17,520 Speaker 1: hear outbursts per variety. Prior to the start of the ceremony. 191 00:11:17,559 --> 00:11:20,760 Speaker 1: Floor managers warned guests and attendees sitting around david'son of 192 00:11:20,840 --> 00:11:25,200 Speaker 1: his condition, without specifying what kinds of outbursts they may hear. 193 00:11:26,040 --> 00:11:29,520 Speaker 1: According to multiple sources, none of the nominees or attendees 194 00:11:29,559 --> 00:11:32,720 Speaker 1: were contacted by BAFTA or the BBC ahead of the 195 00:11:32,800 --> 00:11:35,960 Speaker 1: show with any such warnings. So they get you in 196 00:11:36,000 --> 00:11:40,000 Speaker 1: the audience they say, hey, just FYI, you might hear 197 00:11:40,040 --> 00:11:45,160 Speaker 1: some outbursts. It's interesting to me that you know so 198 00:11:45,480 --> 00:11:49,800 Speaker 1: much prior planning goes into these award ceremonies. It's interesting 199 00:11:49,880 --> 00:11:52,600 Speaker 1: that the first time these attendees are hearing about it 200 00:11:52,679 --> 00:11:55,319 Speaker 1: is in the audience with David's in there. One. 201 00:11:55,679 --> 00:11:59,160 Speaker 2: Yeah, I think that's worth like highlating is just the 202 00:11:59,160 --> 00:12:01,760 Speaker 2: amount of planning that goes into a production like this, 203 00:12:02,080 --> 00:12:07,719 Speaker 2: Like this is a ballroom full of a list celebrities 204 00:12:08,440 --> 00:12:15,079 Speaker 2: being recorded for an international primetime broadcast, Like, this isn't 205 00:12:15,920 --> 00:12:17,120 Speaker 2: neighborhood theater. 206 00:12:17,440 --> 00:12:21,160 Speaker 1: This is not your daughter's junior high performance of Greece. Okay, 207 00:12:21,280 --> 00:12:23,120 Speaker 1: this is the bastest. This is big time. 208 00:12:23,440 --> 00:12:24,280 Speaker 2: This is big time. 209 00:12:24,480 --> 00:12:24,760 Speaker 3: Yeah. 210 00:12:24,920 --> 00:12:31,840 Speaker 2: So that way there suggests that, of course there are 211 00:12:31,880 --> 00:12:36,800 Speaker 2: gonna be a lot of people planning, thinking about all 212 00:12:36,920 --> 00:12:41,600 Speaker 2: aspects of the production, right, Like, there's probably dozens, maybe 213 00:12:41,600 --> 00:12:45,320 Speaker 2: over one hundred people whose job was coordinating the production 214 00:12:45,400 --> 00:12:45,840 Speaker 2: of this thing. 215 00:12:46,440 --> 00:12:50,959 Speaker 1: Yes, so it gets so much worse. In a profile 216 00:12:51,080 --> 00:12:55,600 Speaker 1: for a Variety immediately following this incident, Davidson reveals that 217 00:12:55,640 --> 00:12:59,360 Speaker 1: the baf DOES and the BBC essentially gave him the 218 00:12:59,400 --> 00:13:04,000 Speaker 1: impression that any ticks would not be heard by the 219 00:13:04,000 --> 00:13:07,839 Speaker 1: people on stage. He was set forty rows back from 220 00:13:07,880 --> 00:13:10,760 Speaker 1: the stage, and initially he did not even realize that 221 00:13:10,800 --> 00:13:13,720 Speaker 1: people on stage could hear him. He says that he 222 00:13:13,840 --> 00:13:16,760 Speaker 1: was also given the impression that any of his tics 223 00:13:16,960 --> 00:13:19,520 Speaker 1: would be cut out from the broadcast because it's on 224 00:13:19,559 --> 00:13:21,839 Speaker 1: a tape delay. He said that he has worked with 225 00:13:21,920 --> 00:13:24,400 Speaker 1: BBC a lot in the past or super familiar with 226 00:13:24,440 --> 00:13:28,080 Speaker 1: what his tics can sound like. In that Variety profile, 227 00:13:28,120 --> 00:13:31,120 Speaker 1: he says Studio Canal, the production company that made the 228 00:13:31,120 --> 00:13:34,280 Speaker 1: film he was there to celebrate, had worked closely with BAFTA, 229 00:13:34,400 --> 00:13:37,000 Speaker 1: and BAFTA had made us all aware that any swearing 230 00:13:37,200 --> 00:13:39,559 Speaker 1: would be edited out of the broadcast. I have made 231 00:13:39,640 --> 00:13:42,120 Speaker 1: four documentaries with the BBC in the past and feel 232 00:13:42,160 --> 00:13:44,280 Speaker 1: that they should have been aware of what to expect 233 00:13:44,280 --> 00:13:47,360 Speaker 1: from Thurette's and worked harder to prevent anything that I said, 234 00:13:47,679 --> 00:13:49,960 Speaker 1: which after all, was some forty rows back from the 235 00:13:49,960 --> 00:13:52,600 Speaker 1: stage from being included in the broadcast. 236 00:13:53,400 --> 00:13:56,960 Speaker 2: Now we know that wasn't done everything up to this point, 237 00:13:57,640 --> 00:14:00,160 Speaker 2: you can be like, well, okay, you know a mistake 238 00:14:00,240 --> 00:14:00,679 Speaker 2: were made. 239 00:14:01,080 --> 00:14:06,640 Speaker 1: Here's where I lost it, he says. Forty rows back 240 00:14:06,640 --> 00:14:11,160 Speaker 1: from the stage, the baptist put a microphone in front 241 00:14:11,200 --> 00:14:14,920 Speaker 1: of him. The profile reads, as I reflect on the auditorium, 242 00:14:15,040 --> 00:14:17,680 Speaker 1: I remember there was a microphone just in front of me, 243 00:14:18,040 --> 00:14:21,520 Speaker 1: and with hindsight, I have to question whether this was wise, 244 00:14:21,840 --> 00:14:24,880 Speaker 1: so close to where I was seated, knowing I would tick. 245 00:14:25,160 --> 00:14:27,840 Speaker 2: It's so British like, I have to question if that 246 00:14:28,000 --> 00:14:28,520 Speaker 2: was wise. 247 00:14:28,920 --> 00:14:37,880 Speaker 1: Yeah, I yes, I don't think it was wise, question answered, 248 00:14:38,800 --> 00:14:39,640 Speaker 1: What the fuck? 249 00:14:39,920 --> 00:14:40,040 Speaker 3: No? 250 00:14:40,240 --> 00:14:45,080 Speaker 2: I agree, it seems pretty unwise really that was. 251 00:14:45,040 --> 00:14:48,360 Speaker 1: The point that made me think this. I do believe 252 00:14:48,400 --> 00:14:52,040 Speaker 1: this was intentional, you know. I asked around and someone 253 00:14:52,120 --> 00:14:54,240 Speaker 1: was like, the only thing I can maybe see is 254 00:14:54,760 --> 00:14:58,640 Speaker 1: maybe if they wanted to get audio of his area 255 00:14:58,800 --> 00:15:02,520 Speaker 1: specifically to tone match it later and in some sort 256 00:15:02,520 --> 00:15:05,560 Speaker 1: of like there's a there's a I don't I don't believe. 257 00:15:05,600 --> 00:15:07,280 Speaker 1: I don't buy it. I don't, I don't buy it. 258 00:15:07,360 --> 00:15:08,160 Speaker 1: I don't believe it. 259 00:15:08,280 --> 00:15:11,400 Speaker 2: Yeah, Like what would be the purpose, you know, like 260 00:15:11,960 --> 00:15:15,560 Speaker 2: maybe they want to capture audio of him for some 261 00:15:15,720 --> 00:15:16,520 Speaker 2: other purpose. 262 00:15:17,320 --> 00:15:20,480 Speaker 1: That the idea here, which I don't believe, is that 263 00:15:21,000 --> 00:15:23,120 Speaker 1: it might have been a room tone. So when when 264 00:15:23,120 --> 00:15:25,840 Speaker 1: we make the podcast, we will sit in silence to 265 00:15:25,840 --> 00:15:28,600 Speaker 1: get what's called room tone, which is the general sound 266 00:15:28,600 --> 00:15:31,520 Speaker 1: of the room, so that when you're editing later it 267 00:15:31,680 --> 00:15:34,680 Speaker 1: sounds more natural because you're you're able to swap in 268 00:15:34,840 --> 00:15:37,120 Speaker 1: what it actually sounded like that. I think that's what 269 00:15:37,160 --> 00:15:38,960 Speaker 1: they were getting at. Maybe they were doing it to 270 00:15:39,040 --> 00:15:42,040 Speaker 1: sort of for a later edit, but they didn't edit shit, 271 00:15:42,120 --> 00:15:43,680 Speaker 1: So then why did they even need room tone? 272 00:15:44,360 --> 00:15:47,600 Speaker 2: Yeah, and if and like if the idea is that 273 00:15:47,640 --> 00:15:53,560 Speaker 2: they have multiple microphones throughout the theater picked to like 274 00:15:53,640 --> 00:15:57,040 Speaker 2: get room tone. Why were those mixed into the main broadcast? 275 00:15:57,560 --> 00:15:59,880 Speaker 1: Hello, it doesn't make any sense. 276 00:16:00,280 --> 00:16:01,480 Speaker 2: It doesn't make any sense. 277 00:16:04,840 --> 00:16:17,920 Speaker 3: Let's take a quick break at our back. 278 00:16:22,360 --> 00:16:27,640 Speaker 1: So the broadcast did cut some of his tics from 279 00:16:27,680 --> 00:16:31,240 Speaker 1: the broadcast. He apparently shouted pedophile at the Baptist host 280 00:16:31,320 --> 00:16:34,600 Speaker 1: Alan Cumming, and that tick was not included in the broadcast. 281 00:16:34,800 --> 00:16:39,200 Speaker 1: The broadcast also just made clear editorial decisions about things 282 00:16:39,240 --> 00:16:41,880 Speaker 1: that were cut and things that were left. In a canola, 283 00:16:41,960 --> 00:16:45,760 Speaker 1: Davies Junior said free Palestine during his speech after winning 284 00:16:45,840 --> 00:16:48,920 Speaker 1: Outstanding British Debut for My Father's Shadow. So this is 285 00:16:48,960 --> 00:16:52,160 Speaker 1: what was caught out of Davies's speech to the economic migrant, 286 00:16:52,160 --> 00:16:56,040 Speaker 1: to the conflict migrant, to those under occupation, dictatorship, persecution, 287 00:16:56,240 --> 00:16:59,360 Speaker 1: and those experience in genocide. You matter, Your stories matter 288 00:16:59,440 --> 00:17:02,000 Speaker 1: more than ever. Your dreams are an active resistance to 289 00:17:02,040 --> 00:17:05,760 Speaker 1: those watching at home. Archiveer loved ones, archive your stories yesterday, 290 00:17:05,800 --> 00:17:09,640 Speaker 1: today and forever, for Nigeria, for London, the Congo, Sudan, 291 00:17:09,960 --> 00:17:13,240 Speaker 1: Free Palestine. Had to cut that out of there. Who 292 00:17:13,240 --> 00:17:16,280 Speaker 1: would want that message in their broadcast of an award show? 293 00:17:16,560 --> 00:17:20,440 Speaker 1: So that was not acceptable to be heard. But the 294 00:17:20,600 --> 00:17:24,240 Speaker 1: N word being shouted that's fine. Make it make sense. 295 00:17:24,760 --> 00:17:28,359 Speaker 2: Yeah, I mean, the only way it makes sense is 296 00:17:30,520 --> 00:17:33,919 Speaker 2: somebody made the active, deliberate decision that they were going 297 00:17:33,960 --> 00:17:38,280 Speaker 2: to keep it in. I would love to see evidence 298 00:17:38,520 --> 00:17:41,080 Speaker 2: that something else happened, but that's the only thing that 299 00:17:41,080 --> 00:17:41,760 Speaker 2: makes sense to me. 300 00:17:42,240 --> 00:17:46,560 Speaker 1: Paul Thomas Anderson one best director for one battle after another, 301 00:17:46,920 --> 00:17:49,439 Speaker 1: and part of his speech says, anyone that says movies 302 00:17:49,440 --> 00:17:52,240 Speaker 1: aren't any good anymore can just piss right off. They 303 00:17:52,440 --> 00:17:56,000 Speaker 1: bleeped piss out for social media in the clip that 304 00:17:56,080 --> 00:17:59,040 Speaker 1: was shared on both the BBC and baft to YouTube pages. 305 00:17:59,200 --> 00:18:02,560 Speaker 1: They removed that sentence entirely, so you can't piss off. 306 00:18:03,160 --> 00:18:05,719 Speaker 1: That is too strong of language to be included the 307 00:18:05,880 --> 00:18:09,040 Speaker 1: N word. Totally fine, Make it make sense again. I 308 00:18:09,080 --> 00:18:12,240 Speaker 1: know a lot of folks online were really focused on Davidson, 309 00:18:12,280 --> 00:18:14,919 Speaker 1: and I read a lot of interesting takes from black 310 00:18:14,960 --> 00:18:18,320 Speaker 1: folks with Tourette's. However, Davidson had had nothing to do 311 00:18:18,440 --> 00:18:21,320 Speaker 1: with the editorial choices of the BAFTAs, like like I'm 312 00:18:21,640 --> 00:18:24,119 Speaker 1: that I am keeping my foot on the neck of 313 00:18:24,200 --> 00:18:26,680 Speaker 1: the Baptist and the BBC and I just have to 314 00:18:26,760 --> 00:18:29,119 Speaker 1: wonder what the hell happened here? And even more damning, 315 00:18:29,320 --> 00:18:32,760 Speaker 1: The Guardian reported that Warner Brothers, the studio behind Sinners, 316 00:18:33,080 --> 00:18:36,680 Speaker 1: said immediately after the slur was said that they requested 317 00:18:36,720 --> 00:18:39,040 Speaker 1: the bath that's edited out from the broadcast, which was 318 00:18:39,080 --> 00:18:42,000 Speaker 1: on a two hour delay. So given that, I do 319 00:18:42,280 --> 00:18:46,080 Speaker 1: believe that this was left in deliberately. Afterward, the BAFT 320 00:18:46,160 --> 00:18:48,920 Speaker 1: just put out a statement apologizing for the error, saying 321 00:18:48,920 --> 00:18:51,280 Speaker 1: that their production team didn't hear the slur because they 322 00:18:51,320 --> 00:18:57,120 Speaker 1: were quote working from a truck. Okay, make make sure. 323 00:18:58,720 --> 00:19:03,399 Speaker 1: I just don't believe this, And I mean, I I 324 00:19:03,440 --> 00:19:06,080 Speaker 1: don't know. I know, I sound like a conspiracy theorist. 325 00:19:06,119 --> 00:19:09,560 Speaker 1: I read. I've read takes that. Oh I did read 326 00:19:09,640 --> 00:19:12,320 Speaker 1: a take that initially I thought, oh, that's not true, 327 00:19:12,720 --> 00:19:14,960 Speaker 1: where I was like, oh, maybe they were doing this 328 00:19:15,119 --> 00:19:18,160 Speaker 1: to take the heat off of the news that Prince 329 00:19:18,280 --> 00:19:21,680 Speaker 1: Andrew was arrested in connection with the Epstein files, and 330 00:19:21,800 --> 00:19:23,919 Speaker 1: I was like, well, that's really silly. Then I did 331 00:19:24,000 --> 00:19:27,439 Speaker 1: find out that the president of the Baptist is Prince William, 332 00:19:27,600 --> 00:19:28,720 Speaker 1: so I was like, oh, interesting. 333 00:19:29,080 --> 00:19:32,639 Speaker 2: I mean, I'm just saying just asking questions like so, 334 00:19:32,880 --> 00:19:37,199 Speaker 2: to me, that feels like a step into conspiracy territory, right, 335 00:19:37,240 --> 00:19:39,119 Speaker 2: because we don't have any evidence of that, but like 336 00:19:40,119 --> 00:19:43,200 Speaker 2: the idea that this was a deliberate decision to leave 337 00:19:43,240 --> 00:19:47,000 Speaker 2: it in that I think is supported by a fair 338 00:19:47,040 --> 00:19:50,880 Speaker 2: amount of evidence here. And I mean, we can only 339 00:19:51,000 --> 00:19:56,520 Speaker 2: wonder why maybe it was a conspiracy to like create 340 00:19:57,080 --> 00:20:01,359 Speaker 2: some news to distract from Prince Andrew, who's Epstein connections. 341 00:20:01,920 --> 00:20:03,520 Speaker 2: That seems a little complicated to me. 342 00:20:03,800 --> 00:20:05,560 Speaker 1: I want to be clear, I'm not endorsing that as 343 00:20:05,560 --> 00:20:07,760 Speaker 1: as what I think is going on. I just wanted 344 00:20:07,800 --> 00:20:10,080 Speaker 1: to note that that is one of the things people 345 00:20:10,119 --> 00:20:10,520 Speaker 1: are saying. 346 00:20:10,920 --> 00:20:13,840 Speaker 2: Yeah, I mean, I think a much simpler explanation is 347 00:20:13,880 --> 00:20:16,800 Speaker 2: just they just wanted some controversy, you know, something that's 348 00:20:16,840 --> 00:20:23,120 Speaker 2: gonna generate buzz, generate engagement, and whoever made that decision 349 00:20:23,520 --> 00:20:27,600 Speaker 2: didn't care about who they had to throw under the 350 00:20:27,640 --> 00:20:31,840 Speaker 2: bus to get it, which in this case involves everyone involved, right, 351 00:20:31,920 --> 00:20:36,920 Speaker 2: involve the Sitters team and involved Davidson himself. And you know, 352 00:20:37,000 --> 00:20:40,399 Speaker 2: you make it a good point that people were Some 353 00:20:40,560 --> 00:20:43,960 Speaker 2: of the discourse online was focused on Davidson, the guy 354 00:20:44,040 --> 00:20:48,400 Speaker 2: who said the slur. First of all, yeah, he has 355 00:20:48,680 --> 00:20:52,879 Speaker 2: threats it was an involuntary thing. But even if that 356 00:20:53,080 --> 00:20:56,960 Speaker 2: weren't true, even if he was like a racist person 357 00:20:57,040 --> 00:21:02,880 Speaker 2: who wanted to say this slur. That's just like one guy. 358 00:21:04,119 --> 00:21:06,600 Speaker 2: The fact that the Bath does and the BBC, these 359 00:21:06,680 --> 00:21:11,920 Speaker 2: like massive institutions who have so much public trust, decided 360 00:21:11,960 --> 00:21:15,520 Speaker 2: to er it is such a bigger story. In my opinion. 361 00:21:15,760 --> 00:21:18,840 Speaker 1: Uh decided to er it, but thought the words piss off. 362 00:21:19,359 --> 00:21:22,480 Speaker 1: That language is too strong. Our audience cannot handle the 363 00:21:22,560 --> 00:21:25,359 Speaker 1: words piss off. Ban word is totally fine though, that's 364 00:21:25,400 --> 00:21:29,000 Speaker 1: all good. This may sound like a small thing, but 365 00:21:29,240 --> 00:21:33,320 Speaker 1: in that Variety profile he describes sort of the moment 366 00:21:33,560 --> 00:21:37,879 Speaker 1: of shame and horror and mortification of realizing that his 367 00:21:38,040 --> 00:21:40,840 Speaker 1: tics were being heard by the folks on stage. He says, 368 00:21:40,920 --> 00:21:43,399 Speaker 1: I was trying to calm myself down to breathe, but 369 00:21:43,560 --> 00:21:46,400 Speaker 1: ultimately I made the decision to leave to not cause 370 00:21:46,440 --> 00:21:49,399 Speaker 1: any more upset. BAFTA found a private room with a 371 00:21:49,480 --> 00:21:52,119 Speaker 1: monitor where I watched the rest of the awards. And 372 00:21:52,280 --> 00:21:56,040 Speaker 1: to me, that small thing reveals a lot, because as 373 00:21:56,160 --> 00:21:59,920 Speaker 1: we said, this is a huge production. Why was there 374 00:22:00,160 --> 00:22:03,200 Speaker 1: no support plan in place ahead of time? The fact 375 00:22:03,240 --> 00:22:05,760 Speaker 1: that there that they knew that there was a possibility 376 00:22:05,920 --> 00:22:09,080 Speaker 1: that he would experience ticks, and that the whole movie 377 00:22:09,359 --> 00:22:11,560 Speaker 1: that he says, the BBC's and the BAFTAs are so 378 00:22:11,840 --> 00:22:14,280 Speaker 1: aware of his story, they have worked together before. Is 379 00:22:14,359 --> 00:22:18,240 Speaker 1: that when this happens he experiences shame and mortification. The 380 00:22:18,359 --> 00:22:21,040 Speaker 1: fact that they did not have a plan in place 381 00:22:21,160 --> 00:22:24,320 Speaker 1: for what would happen if he experienced deep shame and 382 00:22:24,440 --> 00:22:27,560 Speaker 1: deep mortification while at this ceremony says a lot to me. 383 00:22:27,840 --> 00:22:29,639 Speaker 1: Why did they have to why did they have to 384 00:22:30,280 --> 00:22:33,320 Speaker 1: find a room? Why was there no plan in place, 385 00:22:33,400 --> 00:22:35,760 Speaker 1: a contingency plan. That's like, Okay, if you experience a 386 00:22:35,840 --> 00:22:38,440 Speaker 1: tick and it's you are feeling the things that we 387 00:22:38,520 --> 00:22:40,840 Speaker 1: are aware, you know, we know goes into it when 388 00:22:40,840 --> 00:22:43,280 Speaker 1: you experience these ticks, Here's what we're gonna do, Here's 389 00:22:43,280 --> 00:22:45,080 Speaker 1: where you're gonna go, Here's how we're gonna support you. 390 00:22:45,520 --> 00:22:48,320 Speaker 1: I just think it's a bullshit. I really think like 391 00:22:49,119 --> 00:22:54,240 Speaker 1: the BAFTAs have really done such a disservice to everybody 392 00:22:54,320 --> 00:22:58,040 Speaker 1: in that room. And yeah, I I this is not 393 00:22:58,160 --> 00:23:00,119 Speaker 1: how you support anybody. This is not how do you 394 00:23:00,160 --> 00:23:02,480 Speaker 1: support people that you've invited to be in community with 395 00:23:02,560 --> 00:23:03,800 Speaker 1: you at an award ceremony. 396 00:23:03,880 --> 00:23:08,480 Speaker 2: One hundred percent. If you organize a party, throw a party, 397 00:23:08,560 --> 00:23:11,240 Speaker 2: invite guests to come to your party, you have the 398 00:23:11,280 --> 00:23:16,040 Speaker 2: responsibility for making sure that it is a safe experience 399 00:23:16,160 --> 00:23:21,520 Speaker 2: for everybody there, and they really failed everybody involved. And 400 00:23:21,640 --> 00:23:27,439 Speaker 2: this guy was their VIP guest. Yeah, like imagine. I mean, 401 00:23:27,480 --> 00:23:30,120 Speaker 2: it just has to make you wonder about what sort 402 00:23:30,119 --> 00:23:32,400 Speaker 2: of care they would take for other people who were 403 00:23:32,480 --> 00:23:33,720 Speaker 2: not VIP guests. 404 00:23:34,119 --> 00:23:39,200 Speaker 1: Yeah, you know, I've never been to England. I was 405 00:23:39,320 --> 00:23:44,120 Speaker 1: watching this interesting take from a comedian who's from their 406 00:23:44,480 --> 00:23:48,480 Speaker 1: London Hughes, and she made the point that, listen, there 407 00:23:48,520 --> 00:23:54,320 Speaker 1: are just not enough black people in England for there 408 00:23:54,440 --> 00:23:58,320 Speaker 1: to be the same kind of outcry that you've seen 409 00:23:58,600 --> 00:24:03,280 Speaker 1: in the United States. There's a generation of black people 410 00:24:04,520 --> 00:24:08,720 Speaker 1: my age for whom Delroy Lindo is like a stand 411 00:24:08,760 --> 00:24:11,800 Speaker 1: in for our father, right or like like reminds us 412 00:24:11,880 --> 00:24:15,240 Speaker 1: of our father. I would have a hard time picking 413 00:24:15,359 --> 00:24:20,720 Speaker 1: another black another pair of black actors right now that 414 00:24:21,600 --> 00:24:24,760 Speaker 1: the black community has has more fondness for than Delroy 415 00:24:24,840 --> 00:24:29,200 Speaker 1: Lindo and Michael B. Jordan. I really I'm maybe Denzel Washington, 416 00:24:30,480 --> 00:24:33,919 Speaker 1: maybe Samuel L. Jackson, but like del Roy Lindo is ours, 417 00:24:34,240 --> 00:24:36,880 Speaker 1: we are not gonna forget this, right, And so London 418 00:24:37,080 --> 00:24:41,600 Speaker 1: was saying, how in England. They just have a different 419 00:24:41,840 --> 00:24:46,880 Speaker 1: vibe around these public moments of racism where they don't 420 00:24:46,960 --> 00:24:49,720 Speaker 1: really complain the same way. They're not as vocal the 421 00:24:49,800 --> 00:24:52,960 Speaker 1: same way. There's like a cultural attitude about sort of 422 00:24:53,200 --> 00:24:56,720 Speaker 1: stiff up her lip that we do our loud asses 423 00:24:56,760 --> 00:24:59,920 Speaker 1: in the United States do not share. And yeah, she was, 424 00:25:00,359 --> 00:25:03,680 Speaker 1: I hope that Black Americans stay on the Baptist net 425 00:25:03,800 --> 00:25:06,200 Speaker 1: about this and the BBC's neck about this. And I 426 00:25:06,280 --> 00:25:08,200 Speaker 1: can tell you one thing, this black American is going 427 00:25:08,280 --> 00:25:10,240 Speaker 1: to stay on the Baptist and the BBC's neck about 428 00:25:10,240 --> 00:25:12,960 Speaker 1: this because I need answers. I need to know who 429 00:25:13,080 --> 00:25:15,080 Speaker 1: is being fired. I need to know whether or not 430 00:25:15,640 --> 00:25:18,360 Speaker 1: the president of the Baptist Prince William will be stepping down. 431 00:25:18,760 --> 00:25:20,959 Speaker 1: I need to know who made this decision, how it happened, 432 00:25:21,160 --> 00:25:23,919 Speaker 1: what accountability looks like, how are they atoning, where are 433 00:25:23,920 --> 00:25:26,560 Speaker 1: they giving money? Like I need the action plan? And 434 00:25:26,560 --> 00:25:28,680 Speaker 1: I was like something else. Black folks are not gonna 435 00:25:28,720 --> 00:25:31,240 Speaker 1: let this go. It is Black History months. We have 436 00:25:31,320 --> 00:25:33,680 Speaker 1: a fascist in the White House who was like calling 437 00:25:33,800 --> 00:25:36,359 Speaker 1: black people all kinds of apes and monkeys. We're not 438 00:25:36,560 --> 00:25:41,720 Speaker 1: standing for this, and I think I don't see us 439 00:25:41,760 --> 00:25:43,720 Speaker 1: getting over this anytime soon, I know I won't be, 440 00:25:44,640 --> 00:25:48,480 Speaker 1: And truly, I just think that not only do black 441 00:25:48,520 --> 00:25:51,239 Speaker 1: people deserve better, Michael B. Jordan deserves better, del Roy 442 00:25:51,280 --> 00:25:53,680 Speaker 1: Lindo deserves better, and a Beach Sword deserves better, the 443 00:25:53,840 --> 00:25:56,800 Speaker 1: entire Center's team deserves better. Every black person in that 444 00:25:56,960 --> 00:26:01,520 Speaker 1: audience watching at home deserves better, and Davidson deserves better. 445 00:26:01,560 --> 00:26:05,200 Speaker 1: The Turetz community deserves better. Like, it's such an institutional 446 00:26:05,320 --> 00:26:09,600 Speaker 1: failure that if they think we are stupid enough to 447 00:26:10,680 --> 00:26:13,719 Speaker 1: look at Davidson who is not in control of these 448 00:26:13,800 --> 00:26:19,600 Speaker 1: ticks and expect accountability from him and not them, if 449 00:26:19,640 --> 00:26:22,560 Speaker 1: they think that we're gonna fall forward just like throwing 450 00:26:22,720 --> 00:26:25,440 Speaker 1: him under the bus when he cannot control these tics, 451 00:26:25,680 --> 00:26:28,480 Speaker 1: they're wrong. And I'm really happy to see the sort 452 00:26:28,480 --> 00:26:33,200 Speaker 1: of conversation shift to the institutional failure that the bapt 453 00:26:33,240 --> 00:26:35,439 Speaker 1: DOES and the BBC are responsible for in. 454 00:26:35,480 --> 00:26:39,359 Speaker 2: This Well, speaking of institutional failures, what's new with Meta? 455 00:26:40,119 --> 00:26:41,640 Speaker 3: That was gonna be my transition. 456 00:26:42,359 --> 00:26:43,120 Speaker 2: You'll do it better? 457 00:26:44,000 --> 00:26:47,040 Speaker 1: Okay, So I love when companies like Meta kind of 458 00:26:47,080 --> 00:26:49,720 Speaker 1: give away their game, which you know that about me? 459 00:26:50,480 --> 00:26:53,080 Speaker 1: Meta said that they have a plan to integrate facial 460 00:26:53,119 --> 00:26:57,239 Speaker 1: recognition technology into their smart Classes. According to reporting from 461 00:26:57,240 --> 00:27:00,639 Speaker 1: The New York Times, Meta could add facial recognition technology 462 00:27:00,840 --> 00:27:04,800 Speaker 1: to smart glasses as early as this year. As is 463 00:27:04,960 --> 00:27:06,639 Speaker 1: the case with a lot of this kind of stuff, 464 00:27:07,240 --> 00:27:11,919 Speaker 1: even though it's like horribly invasive, dangerous surveillance technology, they 465 00:27:12,000 --> 00:27:13,840 Speaker 1: have to give it a cutesy name, and so their 466 00:27:13,920 --> 00:27:16,400 Speaker 1: cutesy internal name is name tag. 467 00:27:16,880 --> 00:27:19,640 Speaker 2: Oh, it's like you're being friendly at a mixer where 468 00:27:19,640 --> 00:27:21,320 Speaker 2: you don't know anybody name tag. 469 00:27:21,840 --> 00:27:28,399 Speaker 1: Yuck. Yeah, it's like how Ring camera their horrible facial 470 00:27:28,440 --> 00:27:31,399 Speaker 1: recognition technology. It's called search Party and it's only for 471 00:27:31,560 --> 00:27:34,560 Speaker 1: dogs and maybe some people, and then also all people 472 00:27:36,720 --> 00:27:39,560 Speaker 1: also all the people on top of it. So according 473 00:27:39,560 --> 00:27:41,720 Speaker 1: to The New York Times, it was like anybody who 474 00:27:41,800 --> 00:27:44,760 Speaker 1: owns metas smart classes identify people in the real world 475 00:27:45,000 --> 00:27:49,320 Speaker 1: instantly pulling up their information through metas ai Assistant. What's 476 00:27:49,359 --> 00:27:51,880 Speaker 1: even more troubling to me is that these documents show 477 00:27:51,960 --> 00:27:55,440 Speaker 1: that apparently the company had these plans to sort of 478 00:27:55,880 --> 00:27:58,840 Speaker 1: soften the public roll out by framing it as a 479 00:27:59,320 --> 00:28:04,560 Speaker 1: accessibility tool for the disabled community, the idea, which didn't 480 00:28:04,720 --> 00:28:08,760 Speaker 1: really materialize. It sounds like seem to involve debuting it 481 00:28:08,760 --> 00:28:12,320 Speaker 1: at a conference for blind users before releasing it more broadly, 482 00:28:12,600 --> 00:28:17,760 Speaker 1: essentially using the disabled community as a kind of pr shield, like, oh, 483 00:28:17,840 --> 00:28:21,119 Speaker 1: nobody can say this is fatial recognition technology. It's to 484 00:28:21,240 --> 00:28:25,720 Speaker 1: help visually impaired users. On we unveiled it at a 485 00:28:26,359 --> 00:28:30,320 Speaker 1: conference for people with visual impairment. Now they didn't actually 486 00:28:30,400 --> 00:28:33,480 Speaker 1: do this, but yeah, gools, yeah, god. 487 00:28:33,600 --> 00:28:37,600 Speaker 2: I love these stories about metaw where it's like, Okay, 488 00:28:37,680 --> 00:28:42,880 Speaker 2: we're rolling out this terrible, awful new feature that's gonna 489 00:28:42,960 --> 00:28:46,720 Speaker 2: like ruin everyone's lives. How can we also sneak in 490 00:28:47,080 --> 00:28:51,000 Speaker 2: some other harm to like just just screw over some 491 00:28:51,240 --> 00:28:54,520 Speaker 2: other unrelated community in the process, And how. 492 00:28:54,480 --> 00:28:57,880 Speaker 1: Can we spell all of this out in shocking detail 493 00:28:58,440 --> 00:29:01,200 Speaker 1: in a written document that will one point be part 494 00:29:01,360 --> 00:29:04,240 Speaker 1: of a New York Times EXPOSA. Hey, they love putting 495 00:29:04,280 --> 00:29:07,520 Speaker 1: this shit in writing. Will I love it? Never stop 496 00:29:08,160 --> 00:29:11,080 Speaker 1: love it? Please continue to write this shit in documents 497 00:29:11,080 --> 00:29:12,520 Speaker 1: so that I can read it later and be like, 498 00:29:12,640 --> 00:29:14,720 Speaker 1: oh my lord, that is incriminating. 499 00:29:18,880 --> 00:29:20,240 Speaker 2: Yeah, I think it was unwise. 500 00:29:21,120 --> 00:29:24,960 Speaker 1: I think that's gonna be let's face that in as 501 00:29:25,040 --> 00:29:26,840 Speaker 1: a saying on the show. I think it might have 502 00:29:26,920 --> 00:29:31,240 Speaker 1: been on what its like, have these people ever heard 503 00:29:31,280 --> 00:29:33,120 Speaker 1: of a fucking phone call like, has it ever occurred 504 00:29:33,160 --> 00:29:35,040 Speaker 1: to anybody to be like, should we put the evil 505 00:29:35,080 --> 00:29:36,720 Speaker 1: plan in writing or should we just talk about it 506 00:29:36,840 --> 00:29:41,440 Speaker 1: face to face. So those same internal documents also show 507 00:29:41,560 --> 00:29:44,200 Speaker 1: that they had this plan. They knew that this was 508 00:29:44,240 --> 00:29:47,920 Speaker 1: going to be unpopular. They had this plan to roll 509 00:29:48,000 --> 00:29:51,440 Speaker 1: it out during moments of political turmoil. One of the 510 00:29:51,480 --> 00:29:55,520 Speaker 1: moments that they floated was when Trump started sending federal 511 00:29:55,560 --> 00:29:58,520 Speaker 1: immigration troops to cities. They were like, Oh, that could 512 00:29:58,520 --> 00:30:00,000 Speaker 1: have been a good time to roll this out because 513 00:30:00,160 --> 00:30:02,840 Speaker 1: the public will be too burnt out and distracted to 514 00:30:03,000 --> 00:30:06,400 Speaker 1: notice or care. When you are trying to roll out 515 00:30:06,440 --> 00:30:08,959 Speaker 1: of technology, you know it's going to be good when 516 00:30:09,000 --> 00:30:11,080 Speaker 1: you need to phase it in during a time where 517 00:30:11,120 --> 00:30:14,480 Speaker 1: people are distracted and won't notice. So we have already 518 00:30:14,480 --> 00:30:17,360 Speaker 1: talked about how this technology is already being used to 519 00:30:17,440 --> 00:30:21,000 Speaker 1: target women. Now, The Independent is reporting that domestic abuse 520 00:30:21,120 --> 00:30:25,160 Speaker 1: organizations like Women's Aid and Refuge are specifically warning that 521 00:30:25,280 --> 00:30:28,720 Speaker 1: this plan to add facial recognition technology is going to 522 00:30:28,800 --> 00:30:32,680 Speaker 1: put women at risk. They say that this technology poses 523 00:30:32,720 --> 00:30:35,800 Speaker 1: a direct and serious risk to survivors by placing them 524 00:30:35,880 --> 00:30:39,920 Speaker 1: in harm's way and enabling abusers to locate and track them. Which, 525 00:30:40,640 --> 00:30:44,120 Speaker 1: to be fair, I think is just common sense. I'm 526 00:30:44,160 --> 00:30:47,240 Speaker 1: glad these organizations are saying, hey, you know, who's not 527 00:30:47,440 --> 00:30:52,760 Speaker 1: gonna be real chill in this technology scenario. Survivors who 528 00:30:52,840 --> 00:30:57,440 Speaker 1: have been abused and women who are definitely going to 529 00:30:57,480 --> 00:30:59,560 Speaker 1: be harmed. I'm glad they're stepping up to say this. 530 00:30:59,720 --> 00:31:03,640 Speaker 1: But it's like kind of obvious to me that that 531 00:31:03,680 --> 00:31:04,440 Speaker 1: would be the case. 532 00:31:04,840 --> 00:31:08,520 Speaker 2: Yeah, that's an obvious one. And also, there's like so 533 00:31:08,760 --> 00:31:14,040 Speaker 2: many reasons why it would be bad to just have 534 00:31:14,160 --> 00:31:19,960 Speaker 2: everybody walking around with facial recognition cameras on their face, 535 00:31:20,920 --> 00:31:23,840 Speaker 2: just tracking everyone's movements all the time. 536 00:31:24,040 --> 00:31:28,240 Speaker 1: Without their consent. Right, These organizers say that it threatens 537 00:31:28,320 --> 00:31:30,400 Speaker 1: all of our safety, but especially the safety of women 538 00:31:30,440 --> 00:31:32,840 Speaker 1: and girls in public, by giving the wearers the ability 539 00:31:32,880 --> 00:31:36,360 Speaker 1: to access information about them without their consent. Like whatever 540 00:31:36,480 --> 00:31:39,120 Speaker 1: happened to us to some sort of consent based system. 541 00:31:39,240 --> 00:31:41,400 Speaker 1: When you're just out and about living your life, you're 542 00:31:41,480 --> 00:31:45,040 Speaker 1: not consenting to whoever looks at you to have any 543 00:31:45,160 --> 00:31:47,800 Speaker 1: kind of information about your whereabouts or who you are. 544 00:31:48,320 --> 00:31:51,360 Speaker 1: And you know, we talk a lot about consent and technology, 545 00:31:51,440 --> 00:31:53,720 Speaker 1: and this is just a very good example the fact 546 00:31:53,760 --> 00:31:55,280 Speaker 1: that these people don't give. 547 00:31:55,160 --> 00:31:58,760 Speaker 2: Us shit about consent, Yeah, you know, consent to be 548 00:31:59,120 --> 00:32:03,920 Speaker 2: identified and consent to have who knows what other information 549 00:32:04,520 --> 00:32:08,880 Speaker 2: shared with the people who are wearing these glasses, right, 550 00:32:08,960 --> 00:32:13,160 Speaker 2: because maybe the glasses just tell you the person's name, 551 00:32:13,720 --> 00:32:17,440 Speaker 2: but Meta sure knows a lot more information about everybody 552 00:32:17,520 --> 00:32:21,040 Speaker 2: than just their name, right, And like, is there going 553 00:32:21,120 --> 00:32:24,040 Speaker 2: to be a premium feature where you can pay a 554 00:32:24,080 --> 00:32:29,200 Speaker 2: subscription and just get like the full everything about a person, 555 00:32:29,880 --> 00:32:32,920 Speaker 2: what their relationship status is, who they're dating, what they're into, 556 00:32:33,000 --> 00:32:36,640 Speaker 2: what kind of videos they like, what kind of whine 557 00:32:36,680 --> 00:32:41,080 Speaker 2: they like to drink. Like, Meta knows so much about us, 558 00:32:43,240 --> 00:32:46,120 Speaker 2: you know. So there's the there's a lot of reason 559 00:32:46,200 --> 00:32:52,880 Speaker 2: to be concerned about the surveillance aspect of this, in 560 00:32:53,000 --> 00:32:56,640 Speaker 2: terms of having these cameras recording everybody. But there's also 561 00:32:56,760 --> 00:32:58,920 Speaker 2: I think a lot of reason to be concerned about, like, well, 562 00:32:58,960 --> 00:33:03,440 Speaker 2: what is it look like for the end user who 563 00:33:03,560 --> 00:33:06,640 Speaker 2: is viewing this information? What kind of information are they 564 00:33:06,680 --> 00:33:07,720 Speaker 2: going to get about people? 565 00:33:08,000 --> 00:33:11,160 Speaker 1: I'm imagining what it looks like when Terminator two looks 566 00:33:11,200 --> 00:33:13,719 Speaker 1: at somebody and you know in the movie, when they 567 00:33:13,760 --> 00:33:16,440 Speaker 1: show it through like T two lens and it's all 568 00:33:16,560 --> 00:33:19,680 Speaker 1: this information in data and demographic stuff about people like 569 00:33:19,800 --> 00:33:22,040 Speaker 1: that's that's how I'm imagining it in my head. Let 570 00:33:22,120 --> 00:33:25,640 Speaker 1: me not give Mark Zuckerberg more horrible ideas for his 571 00:33:25,800 --> 00:33:29,840 Speaker 1: technologies by saying that some people are fighting back, though, 572 00:33:29,880 --> 00:33:32,760 Speaker 1: Because for four media first reported that there's this new 573 00:33:32,800 --> 00:33:36,040 Speaker 1: app called the Glasses Nearby App that is meant to 574 00:33:36,080 --> 00:33:39,640 Speaker 1: help people know when somebody is using metaglasses nearby. The 575 00:33:39,800 --> 00:33:43,400 Speaker 1: developer of the app, Eve's Genronaud, told for for I 576 00:33:43,440 --> 00:33:45,760 Speaker 1: consider it to be a tiny part of resistance against 577 00:33:45,800 --> 00:33:46,880 Speaker 1: surveillance technology. 578 00:33:47,160 --> 00:33:49,120 Speaker 2: That's an interesting app. We should look into that. 579 00:33:49,520 --> 00:33:52,280 Speaker 1: Yeah, And I don't even think we need to pretend 580 00:33:52,560 --> 00:33:54,719 Speaker 1: that we don't know how this is going to end 581 00:33:54,840 --> 00:33:58,840 Speaker 1: if Meta does this. One of the anti domestic violence 582 00:33:59,000 --> 00:34:01,720 Speaker 1: organizations that spoke to The Independent, it's quoted as saying, 583 00:34:02,200 --> 00:34:04,520 Speaker 1: time and time again, we see what happens when devices 584 00:34:04,560 --> 00:34:07,000 Speaker 1: go to market without proper consideration for how they might 585 00:34:07,080 --> 00:34:09,960 Speaker 1: be used to harm women and girls, adding that it 586 00:34:10,080 --> 00:34:13,360 Speaker 1: is unacceptable for women in girls' safety to be treated 587 00:34:13,480 --> 00:34:17,799 Speaker 1: as an afterthought. I mean, I don't think we if 588 00:34:17,880 --> 00:34:19,800 Speaker 1: they do this. And when you and I are on 589 00:34:19,840 --> 00:34:23,440 Speaker 1: the microphone talking about how the woman who was stalked 590 00:34:23,640 --> 00:34:25,800 Speaker 1: the woman who was killed, the woman who was harmed, 591 00:34:25,840 --> 00:34:29,279 Speaker 1: the woman who was exploited. Will I will cut this 592 00:34:29,440 --> 00:34:32,000 Speaker 1: audio and put it there, because we don't eat to 593 00:34:32,120 --> 00:34:35,640 Speaker 1: wonder or speculate how this is going to end. We 594 00:34:35,760 --> 00:34:37,880 Speaker 1: already know that these glasses are being used to film 595 00:34:37,960 --> 00:34:40,560 Speaker 1: women without their consent. Four or four also reported a 596 00:34:40,640 --> 00:34:43,200 Speaker 1: while back about how people use these glasses to record 597 00:34:43,280 --> 00:34:46,759 Speaker 1: women at massage parlors without their consent, and then that 598 00:34:46,920 --> 00:34:51,560 Speaker 1: footage was uploaded and used to advertised adult content. So again, 599 00:34:51,920 --> 00:34:56,920 Speaker 1: we already know how metaglasses are currently already being used. 600 00:34:57,080 --> 00:35:00,439 Speaker 1: Adding facial recognition technology is only going to make that worse. 601 00:35:00,520 --> 00:35:03,919 Speaker 1: And so yeah, these domestic violence organizations are openly saying 602 00:35:04,480 --> 00:35:07,120 Speaker 1: this is going to hurt women, and Meta is like, 603 00:35:07,600 --> 00:35:09,480 Speaker 1: we're fine with that if it makes us money. And 604 00:35:09,520 --> 00:35:12,560 Speaker 1: it's just another example of how the exploitation of women 605 00:35:12,640 --> 00:35:16,000 Speaker 1: and girls is a feature, not a bug to people 606 00:35:16,239 --> 00:35:17,880 Speaker 1: like this who are building technology. 607 00:35:20,239 --> 00:35:34,400 Speaker 3: More after a quick break, let's get right back into it. 608 00:35:37,160 --> 00:35:39,279 Speaker 1: This is not usually the kind of story that we 609 00:35:39,360 --> 00:35:41,879 Speaker 1: cover here, but I did want to just quickly talk 610 00:35:41,920 --> 00:35:45,840 Speaker 1: about what's happening with Anthropic and the Pentagon because to me, 611 00:35:45,960 --> 00:35:49,480 Speaker 1: it's a pretty big deal, and I just want to 612 00:35:49,480 --> 00:35:52,160 Speaker 1: make sure that it gets included in our conversation. So 613 00:35:52,520 --> 00:35:55,960 Speaker 1: Nthropic the makers of the very popular chatbot Claude. They 614 00:35:56,040 --> 00:35:58,239 Speaker 1: have kind of a reputation for being one of the 615 00:35:58,320 --> 00:36:02,680 Speaker 1: more safety minded big AI companies. I know that is 616 00:36:02,760 --> 00:36:06,040 Speaker 1: not saying a lot, especially when your competitors are helm 617 00:36:06,120 --> 00:36:09,400 Speaker 1: by folks like Elon Musk, who we know that his 618 00:36:09,719 --> 00:36:13,200 Speaker 1: AI is being used to post child sexual abuse material 619 00:36:13,280 --> 00:36:16,279 Speaker 1: all over the Internet, and folks like Mark Zuckerberg, who 620 00:36:16,360 --> 00:36:19,560 Speaker 1: we were just talking about. As entire dark digital empire 621 00:36:20,080 --> 00:36:22,680 Speaker 1: is premise on the idea that harming people is okay 622 00:36:23,040 --> 00:36:27,040 Speaker 1: if that makes money. In that landscape, it is pretty 623 00:36:27,080 --> 00:36:30,759 Speaker 1: easy to be considered kind of the safety minded one 624 00:36:31,040 --> 00:36:32,919 Speaker 1: of the group. And so I want to be clear 625 00:36:33,040 --> 00:36:35,920 Speaker 1: that I know but that is not saying much. But 626 00:36:36,040 --> 00:36:38,200 Speaker 1: that is the case for Aanthropic, right Mike. 627 00:36:38,360 --> 00:36:41,960 Speaker 2: Yeah, that's right. Their CEO does seem like a little 628 00:36:41,960 --> 00:36:44,959 Speaker 2: bit of a different type of guy. They've really gone 629 00:36:45,000 --> 00:36:48,440 Speaker 2: out of their way to brand themselves as more safety 630 00:36:48,480 --> 00:36:55,759 Speaker 2: minded and also put in place, I think, procedures that 631 00:36:55,920 --> 00:37:00,600 Speaker 2: they follow with the development of their AI to make 632 00:37:00,680 --> 00:37:05,120 Speaker 2: it to ensure that it is more safe than what 633 00:37:05,239 --> 00:37:07,840 Speaker 2: we see from some of their competitors. Of course, earlier 634 00:37:07,920 --> 00:37:11,200 Speaker 2: this week they walk some of that back, you know, 635 00:37:12,680 --> 00:37:16,880 Speaker 2: but that's neither here nor there. Uh yeah, and it's 636 00:37:17,120 --> 00:37:19,759 Speaker 2: you know, it's super complicated with AI because all of 637 00:37:19,840 --> 00:37:25,680 Speaker 2: these systems burn tremendous amounts of energy and are prone 638 00:37:25,760 --> 00:37:29,520 Speaker 2: to like a lot of issues. Uh But all that said, 639 00:37:30,280 --> 00:37:34,680 Speaker 2: Uh yeah, I agree. I think you know, of the group, 640 00:37:34,840 --> 00:37:39,040 Speaker 2: Anthropic is known to sort of stand out as being 641 00:37:39,080 --> 00:37:40,280 Speaker 2: more concerned about safety. 642 00:37:40,600 --> 00:37:43,120 Speaker 1: Yes, and we're not. I want to be clear of that. 643 00:37:43,200 --> 00:37:45,879 Speaker 1: I don't think either of us is like endorsing Anthropic, 644 00:37:46,200 --> 00:37:50,040 Speaker 1: but just contextually that context is important to understand what's 645 00:37:50,120 --> 00:37:53,760 Speaker 1: going on. Anthropic also has I would say they're notable 646 00:37:53,880 --> 00:37:58,880 Speaker 1: for having more transparency around how its models work. A 647 00:37:58,960 --> 00:38:01,719 Speaker 1: lot of other AI companies are much more opake about this. 648 00:38:01,960 --> 00:38:04,440 Speaker 1: Anthropic has been more transparent, and I think that that 649 00:38:04,560 --> 00:38:07,480 Speaker 1: transparency is one of the reasons why Claude was the 650 00:38:07,600 --> 00:38:11,560 Speaker 1: first AI chatbot that the Pentagon adopted in its own systems, 651 00:38:11,840 --> 00:38:16,719 Speaker 1: including cases where it processes classified information. This was obviously 652 00:38:16,960 --> 00:38:21,000 Speaker 1: a major PR win for Anthropic as well as came 653 00:38:21,000 --> 00:38:24,240 Speaker 1: along with a pretty lucrative contract deal worth two hundred 654 00:38:24,280 --> 00:38:28,640 Speaker 1: million dollars, So that contract with the Department of Defense 655 00:38:29,400 --> 00:38:32,360 Speaker 1: is now in jeopardy because Secretary of Defense Pete Hegsas 656 00:38:32,960 --> 00:38:36,600 Speaker 1: says that he is unwilling to accept restrictions that Entthropic 657 00:38:36,680 --> 00:38:39,600 Speaker 1: has put in place over what it's AI can and 658 00:38:39,719 --> 00:38:40,680 Speaker 1: cannot be used for. 659 00:38:41,440 --> 00:38:41,600 Speaker 3: Now. 660 00:38:41,800 --> 00:38:46,960 Speaker 1: There are two specific restrictions that Nthropics CEO Dario Emodi 661 00:38:47,200 --> 00:38:50,880 Speaker 1: has insisted on. One is that Claude's AI cannot be 662 00:38:51,040 --> 00:38:55,640 Speaker 1: used for autonomous weapons systems, so basically no killer robots. 663 00:38:56,160 --> 00:39:00,279 Speaker 1: And this is important because we're really seeing more in more, 664 00:39:00,680 --> 00:39:07,040 Speaker 1: increasingly sophisticated and increasingly autonomous drones being used in military conflicts. 665 00:39:07,680 --> 00:39:10,759 Speaker 1: The second restriction is that Anthropic does not want its 666 00:39:10,840 --> 00:39:14,839 Speaker 1: AI to be used for mass surveillance against Americans. Now, 667 00:39:15,760 --> 00:39:18,759 Speaker 1: I don't know about you, but these seem like very 668 00:39:19,120 --> 00:39:21,960 Speaker 1: reasonable restrictions to me. If anything, they do not go 669 00:39:22,080 --> 00:39:26,279 Speaker 1: far enough. People in democracies should resist mass surveillance of 670 00:39:26,320 --> 00:39:29,920 Speaker 1: any kind. I think out of principle, regardless of citizenship, 671 00:39:31,000 --> 00:39:34,680 Speaker 1: and the prospect of AI systems making decisions about targeting 672 00:39:34,719 --> 00:39:39,320 Speaker 1: people with deadly force is just terrifying for multiple reasons, 673 00:39:39,719 --> 00:39:41,200 Speaker 1: not the least of all is the fact that we 674 00:39:41,360 --> 00:39:44,080 Speaker 1: know that AI is more likely to make mistakes when 675 00:39:44,160 --> 00:39:49,799 Speaker 1: people from marginalized backgrounds are involved. So yeah, pretty reasonable, too, 676 00:39:50,000 --> 00:39:55,040 Speaker 1: pretty reasonable restrictions from Anthropic. So Anthropic has drawn a 677 00:39:55,160 --> 00:39:58,719 Speaker 1: hard line against its AI being used for either of 678 00:39:58,800 --> 00:40:01,400 Speaker 1: those two applications. I think most people would agree. 679 00:40:02,000 --> 00:40:02,040 Speaker 3: Not. 680 00:40:02,440 --> 00:40:07,160 Speaker 1: Secretary Pete Hegseth, Secretary of Pete Hegseth, feels so strongly 681 00:40:07,200 --> 00:40:09,360 Speaker 1: about it that he is threatening to use the Defense 682 00:40:09,400 --> 00:40:13,399 Speaker 1: Production Act to force Anthropic to allow him to use 683 00:40:13,600 --> 00:40:17,399 Speaker 1: its AI for whatever he wants. The Defense Production Act 684 00:40:17,440 --> 00:40:20,760 Speaker 1: allows the government to take over industrial processes and goods 685 00:40:21,160 --> 00:40:24,200 Speaker 1: if it's necessary for national security, and Pete heagset is 686 00:40:24,320 --> 00:40:27,360 Speaker 1: arguing that it would be necessary for national security the 687 00:40:27,440 --> 00:40:29,880 Speaker 1: Defense Production Act. If that sounds familiar, it's because it 688 00:40:29,960 --> 00:40:32,160 Speaker 1: was most recently used during the initial years of the 689 00:40:32,239 --> 00:40:35,360 Speaker 1: COVID pandemic to ramp up production of medical supplies like 690 00:40:35,440 --> 00:40:39,799 Speaker 1: ventilators in Ppe. Now, Heset is saying that any restrictions 691 00:40:39,920 --> 00:40:42,520 Speaker 1: on what the Pentagon is allowed to do with Entthropics 692 00:40:42,560 --> 00:40:45,480 Speaker 1: products are a threat to national security, so he should 693 00:40:45,480 --> 00:40:48,400 Speaker 1: be allowed to seize those products if Anthropic will not 694 00:40:48,640 --> 00:40:51,800 Speaker 1: provide them willingly, and if he does, this would be 695 00:40:51,840 --> 00:40:55,520 Speaker 1: a pretty novel not to mention unsettling use of the 696 00:40:55,600 --> 00:40:58,840 Speaker 1: Defense Production Act. Talking to The Washington Post, a director 697 00:40:58,920 --> 00:41:02,360 Speaker 1: at the Center Forced Fatim and International Studies for Industrial 698 00:41:02,480 --> 00:41:05,520 Speaker 1: Base Issues named Jerry McGinn said that they weren't even 699 00:41:05,600 --> 00:41:07,799 Speaker 1: sure if that law had ever been used that way 700 00:41:07,880 --> 00:41:08,400 Speaker 1: in the past. 701 00:41:08,719 --> 00:41:13,160 Speaker 2: Yeah, Hagsuth has been very open, including during his confirmation 702 00:41:13,320 --> 00:41:16,759 Speaker 2: hearings and his time on Fox News before that, that 703 00:41:17,160 --> 00:41:20,080 Speaker 2: he really views things like rules of engagement or any 704 00:41:20,160 --> 00:41:24,320 Speaker 2: other restrictions on military force as like woke nonsense. That 705 00:41:24,560 --> 00:41:28,600 Speaker 2: he doesn't have time for things is bad for America. 706 00:41:29,600 --> 00:41:33,440 Speaker 2: One of his first actions when he became the Secretary 707 00:41:33,440 --> 00:41:37,120 Speaker 2: of Defense was to fire a bunch of military lawyers 708 00:41:37,800 --> 00:41:41,040 Speaker 2: because he thought they were gonna get in his way 709 00:41:42,200 --> 00:41:44,960 Speaker 2: for doing things, which like prompted people to ask what 710 00:41:45,360 --> 00:41:47,640 Speaker 2: sort of things is he planning on doing? That having 711 00:41:47,719 --> 00:41:50,840 Speaker 2: lawyers around would be problematic. So that's just like his 712 00:41:52,239 --> 00:41:56,320 Speaker 2: baseline attitude. And it's not terribly surprising that he doesn't 713 00:41:56,440 --> 00:41:58,759 Speaker 2: like the idea of anthropics restrictions here. 714 00:41:59,160 --> 00:42:03,279 Speaker 1: Yeah, it is not surprising. So the latest here is 715 00:42:03,360 --> 00:42:06,439 Speaker 1: that Pete Hegseth has given anthropic a deadline of five 716 00:42:06,600 --> 00:42:09,400 Speaker 1: pm on Friday, February twenty seventh. The dat i's this 717 00:42:09,480 --> 00:42:13,040 Speaker 1: episode comes out as of US recording this episode on 718 00:42:13,320 --> 00:42:17,480 Speaker 1: February twenty sixth, the evening before that deadline. Anthropic has 719 00:42:17,520 --> 00:42:20,399 Speaker 1: said that they are not going to cave. They put 720 00:42:20,400 --> 00:42:24,040 Speaker 1: out a statement saying using these systems for mass domestic 721 00:42:24,120 --> 00:42:28,600 Speaker 1: surveillance is incompatible with democratic values, and today frontier AI 722 00:42:28,719 --> 00:42:32,440 Speaker 1: systems are simply not reliable enough to power fully autonomous weapons. 723 00:42:32,880 --> 00:42:35,680 Speaker 1: These threats do not change our position. We cannot in 724 00:42:35,800 --> 00:42:39,279 Speaker 1: good conscious feed to their request. It seems like a 725 00:42:39,360 --> 00:42:43,120 Speaker 1: pretty big deal if the Trump administration is able to 726 00:42:43,280 --> 00:42:48,480 Speaker 1: essentially seize AI technology and control it in this way. 727 00:42:49,080 --> 00:42:52,160 Speaker 1: And again, really just it sounds to me like this 728 00:42:52,280 --> 00:42:56,319 Speaker 1: is about who gets to control AI, and I guess 729 00:42:56,360 --> 00:42:59,320 Speaker 1: the Trump administration feels like it's them, and Anthropic feels differently. 730 00:43:00,680 --> 00:43:05,439 Speaker 2: Yeah, and apparently also the Trump administration, like it's hard 731 00:43:05,480 --> 00:43:08,480 Speaker 2: to look at all this and not feel like they 732 00:43:08,520 --> 00:43:12,880 Speaker 2: are intending to use it for mass domestic surveillance. Like 733 00:43:12,960 --> 00:43:15,720 Speaker 2: they say that they aren't, but they're liars. 734 00:43:16,320 --> 00:43:19,320 Speaker 1: I saw this statement that Pete Hegseeth put out, and 735 00:43:19,440 --> 00:43:23,520 Speaker 1: he said, oh, the fact the claim that we want 736 00:43:23,680 --> 00:43:30,400 Speaker 1: to use AI to mass surveil citizens is just a 737 00:43:30,520 --> 00:43:34,520 Speaker 1: leftist talking point, because mass surveillance of American citizens is illegal. 738 00:43:35,600 --> 00:43:38,120 Speaker 1: First of all, like that has ever stopped y'all from 739 00:43:38,160 --> 00:43:41,319 Speaker 1: doing a goddamn thing ever. Second of all, y'all are 740 00:43:41,320 --> 00:43:43,600 Speaker 1: already mass survailing people, So what are you even talking about. 741 00:43:44,239 --> 00:43:46,560 Speaker 1: Then he goes on to say those two points of 742 00:43:46,640 --> 00:43:50,440 Speaker 1: contention are just liberal leftist talking points. We just want 743 00:43:50,480 --> 00:43:53,719 Speaker 1: to use AI to defend national security. It's not even 744 00:43:53,760 --> 00:43:55,560 Speaker 1: a good statement. It's not even a statement that it's 745 00:43:55,680 --> 00:43:57,279 Speaker 1: it's a kind of statement that you read and you're like, well, 746 00:43:57,320 --> 00:43:59,000 Speaker 1: it's clear that you want to do these two things 747 00:43:59,040 --> 00:44:00,640 Speaker 1: an Anthropic has said that you want to do. 748 00:44:01,239 --> 00:44:07,239 Speaker 2: Yeah, it's like pretty farticle what they're trying to argue. Yeah, 749 00:44:07,280 --> 00:44:09,759 Speaker 2: we'll stay on them. I'm so curious that this is 750 00:44:09,760 --> 00:44:11,840 Speaker 2: going to become like a bigger story over the weekend, 751 00:44:11,920 --> 00:44:16,080 Speaker 2: depending on what Haeseth decides to do, because it seems 752 00:44:16,120 --> 00:44:19,440 Speaker 2: like Anthropic is not going to cave well. 753 00:44:19,320 --> 00:44:22,560 Speaker 1: Speaking of domestic mass surveillance, we do have to talk 754 00:44:22,600 --> 00:44:27,759 Speaker 1: about what's going on in Kansas. It's enraging and heartbreaking. 755 00:44:28,320 --> 00:44:31,360 Speaker 1: The excellent trans Rights publication. Aaron in the Morning is 756 00:44:31,440 --> 00:44:35,040 Speaker 1: reporting that trans folks in Kansas are receiving letters from 757 00:44:35,040 --> 00:44:39,000 Speaker 1: the state's Division of Vehicles that their driver's licenses are 758 00:44:39,160 --> 00:44:42,279 Speaker 1: now considered invalid after the publication of a new law 759 00:44:42,400 --> 00:44:46,040 Speaker 1: on Thursday, February twenty six. Now, per this new law, 760 00:44:46,520 --> 00:44:50,440 Speaker 1: driver's licenses in Kansas are only valid if they indicate 761 00:44:50,600 --> 00:44:55,160 Speaker 1: a person's sex assigned at birth. Now, this law has 762 00:44:55,360 --> 00:44:59,440 Speaker 1: no grace period. You basically go to bed and you 763 00:44:59,520 --> 00:45:03,080 Speaker 1: wake up and your driver's license is invalid. You are 764 00:45:03,800 --> 00:45:07,360 Speaker 1: not legally permitted to drive your car. Not that it 765 00:45:07,400 --> 00:45:09,440 Speaker 1: would make it better if there was a grace period, 766 00:45:09,480 --> 00:45:11,360 Speaker 1: because it absolutely wouldn't, but just to give you a 767 00:45:11,480 --> 00:45:14,840 Speaker 1: sense of how haphazard, which I think is intentional, this 768 00:45:16,239 --> 00:45:20,360 Speaker 1: policy change has been so. This new law, which contains 769 00:45:20,400 --> 00:45:23,640 Speaker 1: some multiple provisions aimed at making life difficult and dangerous 770 00:45:23,719 --> 00:45:27,000 Speaker 1: for trans folks, was initially vetoed by the governor, only 771 00:45:27,080 --> 00:45:29,759 Speaker 1: to be overridden by the legislature. It was called the 772 00:45:30,200 --> 00:45:33,080 Speaker 1: bathroom Bounty Bill because one of the things it does 773 00:45:33,520 --> 00:45:36,720 Speaker 1: is essentially set up a bounty system that encourages members 774 00:45:36,760 --> 00:45:39,880 Speaker 1: of the public to sue trans people for entering bathrooms 775 00:45:39,920 --> 00:45:43,920 Speaker 1: that match their gender. So that's bad enough. But as 776 00:45:44,000 --> 00:45:47,440 Speaker 1: Aaron in the Morning points out, the driver's license provisions 777 00:45:47,480 --> 00:45:50,320 Speaker 1: are a part of a broader national push by anti 778 00:45:50,400 --> 00:45:55,480 Speaker 1: transactivists to deny trans folks access to accurate legal identification documents. 779 00:45:55,920 --> 00:45:59,080 Speaker 1: It follows federal actions made by the Trump administration that 780 00:45:59,200 --> 00:46:02,080 Speaker 1: prevent transfer folks from getting passports that reflect their gender 781 00:46:02,520 --> 00:46:05,600 Speaker 1: and new rules under the Social Security Administration that prevent 782 00:46:05,640 --> 00:46:09,839 Speaker 1: people from updating their gender. Florida, Texas, Indiana, and other 783 00:46:09,960 --> 00:46:12,880 Speaker 1: states have similarly taken steps to prevent folks from changing 784 00:46:12,920 --> 00:46:16,680 Speaker 1: the gender that's displayed on their driver's license. Just side note, 785 00:46:16,880 --> 00:46:20,040 Speaker 1: Aaron in the Morning is an invaluable resource for journalism 786 00:46:20,080 --> 00:46:22,160 Speaker 1: about a tax on trans Folks will put the link 787 00:46:22,200 --> 00:46:25,040 Speaker 1: in the show notes, but I highly recommend that folks 788 00:46:25,400 --> 00:46:27,920 Speaker 1: sign up for the newsletter and support their journalism if 789 00:46:27,920 --> 00:46:31,280 Speaker 1: you're able to do that. These efforts to i trans 790 00:46:31,360 --> 00:46:35,880 Speaker 1: folks accurate identification, it's not just inconvenient, it is dangerous. 791 00:46:36,520 --> 00:46:39,320 Speaker 1: Y'all might remember Britney Stewart. She's the attorney that we 792 00:46:39,360 --> 00:46:42,240 Speaker 1: spoke with a couple of weeks ago in an episode 793 00:46:42,239 --> 00:46:45,600 Speaker 1: about the trans Oklahoma grad student who was relieved of 794 00:46:45,719 --> 00:46:49,800 Speaker 1: her teaching duties at her university after giving a student 795 00:46:49,840 --> 00:46:52,120 Speaker 1: a bad grade on a paper. Brittany is also a 796 00:46:52,200 --> 00:46:54,759 Speaker 1: trans woman, and I asked Brittany for her thoughts and 797 00:46:54,800 --> 00:46:55,680 Speaker 1: here's what she had to say. 798 00:46:56,520 --> 00:47:01,480 Speaker 4: This week, in Kansas, the state legis Sleacher overrode the 799 00:47:01,640 --> 00:47:05,920 Speaker 4: veto of Governor Kelly of a bill that affects trans 800 00:47:06,040 --> 00:47:10,880 Speaker 4: people's use of restrooms, creating a private bounty if people 801 00:47:11,120 --> 00:47:14,880 Speaker 4: use a restroom that matches their gender identity rather than 802 00:47:14,960 --> 00:47:18,560 Speaker 4: their sex assigned at birth. But it also went further, 803 00:47:19,520 --> 00:47:24,640 Speaker 4: and the new law actually requires that trans people have 804 00:47:25,560 --> 00:47:30,160 Speaker 4: their sex assigned at birth listed on their Kansas driver's 805 00:47:30,239 --> 00:47:36,480 Speaker 4: license and identification cards. In two thousand and five, I 806 00:47:36,600 --> 00:47:40,600 Speaker 4: came out fully to my family and began hormone replacement therapy. 807 00:47:41,880 --> 00:47:45,800 Speaker 4: At the time, in Oklahoma, they did not allow updating 808 00:47:45,880 --> 00:47:49,799 Speaker 4: the sex marker on driver's licenses unless one had had 809 00:47:49,920 --> 00:47:55,080 Speaker 4: permanent surgical changes. So for a time I carried a 810 00:47:55,200 --> 00:47:59,000 Speaker 4: driver's license with my name as Britney, with a photo 811 00:47:59,120 --> 00:48:01,839 Speaker 4: of me looking like a woman, but with a sex 812 00:48:01,960 --> 00:48:07,920 Speaker 4: marker of M for male. It was terrifying driving, especially 813 00:48:08,040 --> 00:48:11,560 Speaker 4: outside of Oklahoma City, where I worried that a small 814 00:48:11,640 --> 00:48:14,959 Speaker 4: town Cup might pull me over, see that my sex 815 00:48:15,080 --> 00:48:18,360 Speaker 4: marker doesn't match my appearance and use it as a 816 00:48:18,440 --> 00:48:23,560 Speaker 4: reason to abuse me. Today, Kansas is forcing that to 817 00:48:23,680 --> 00:48:27,640 Speaker 4: be the reality for all trans people, regardless of their 818 00:48:27,719 --> 00:48:32,680 Speaker 4: surgical status or their years lived authentically. I had my 819 00:48:32,800 --> 00:48:36,880 Speaker 4: bottom surgery in two thousand and seven, and Oklahoma allowed 820 00:48:36,960 --> 00:48:39,839 Speaker 4: me to update my birth certificate and driver's lace since 821 00:48:39,880 --> 00:48:43,719 Speaker 4: after that, so it's been almost twenty years since I've 822 00:48:43,800 --> 00:48:48,040 Speaker 4: had to live with that fear. But today trans Kansons, 823 00:48:48,800 --> 00:48:52,680 Speaker 4: regardless of if they've had those documents updated for decades, 824 00:48:54,040 --> 00:48:57,440 Speaker 4: will now have to either carry identification that outs them 825 00:48:58,320 --> 00:49:03,200 Speaker 4: or flee to another state. That's where we're at. And 826 00:49:03,320 --> 00:49:07,880 Speaker 4: because of the Supreme Court decision this past summer that 827 00:49:08,080 --> 00:49:11,799 Speaker 4: dissolved the injunction that had stopped the US government from 828 00:49:11,880 --> 00:49:16,560 Speaker 4: doing the same thing on passports and providing the reasoning 829 00:49:16,680 --> 00:49:19,600 Speaker 4: that sex assigned at birth can be listed because quote 830 00:49:20,080 --> 00:49:24,200 Speaker 4: it's just a historic fact. There will likely not be 831 00:49:24,320 --> 00:49:28,839 Speaker 4: an easy way for courts to stop this. These policies 832 00:49:28,920 --> 00:49:33,839 Speaker 4: won't stop in Kansas. This is the beginning of a transgenocide. 833 00:49:34,840 --> 00:49:38,320 Speaker 4: I have resisted using that word for a while because 834 00:49:38,360 --> 00:49:42,719 Speaker 4: it can sound hyperbolic, especially when used too soon, But 835 00:49:42,920 --> 00:49:47,840 Speaker 4: this is reality. We trans people only make up about 836 00:49:47,920 --> 00:49:51,840 Speaker 4: one percent of the population, so we need our allies 837 00:49:51,920 --> 00:49:55,960 Speaker 4: to get loud. March in the streets for us, Occupy 838 00:49:56,080 --> 00:49:59,759 Speaker 4: the Kansas Capitol Building for US, fight back in every 839 00:50:00,080 --> 00:50:04,719 Speaker 4: state and territory for us. Stop falling for right wing 840 00:50:04,880 --> 00:50:10,080 Speaker 4: concern trolls about quote just protecting kids or quote protecting 841 00:50:10,200 --> 00:50:16,279 Speaker 4: women's sports when they are literally protecting pedophiles. First they 842 00:50:16,360 --> 00:50:20,280 Speaker 4: came for the immigrants, now they're coming from the trans folks. 843 00:50:21,400 --> 00:50:25,839 Speaker 4: It's that serious. I'll end this with some hope and joy, though. 844 00:50:26,800 --> 00:50:30,200 Speaker 4: In twenty seventeen, I married my best friend and the 845 00:50:30,280 --> 00:50:33,600 Speaker 4: love of my life, a straight CIS guy from the 846 00:50:33,719 --> 00:50:37,400 Speaker 4: working class who was willing to stand proudly next to 847 00:50:37,520 --> 00:50:40,560 Speaker 4: his woman who was not just a trans woman, but 848 00:50:40,640 --> 00:50:43,719 Speaker 4: a trans woman who was well known and out and 849 00:50:43,800 --> 00:50:48,720 Speaker 4: about and open about my life. Having been the first 850 00:50:48,880 --> 00:50:53,640 Speaker 4: out trans candidate for public office in Oklahoma. He risked 851 00:50:53,719 --> 00:50:57,279 Speaker 4: family and friends to marry me. So I know there 852 00:50:57,360 --> 00:51:00,759 Speaker 4: are good cis gender folks out there, and we need 853 00:51:00,880 --> 00:51:02,439 Speaker 4: you now more than ever. 854 00:51:03,400 --> 00:51:06,520 Speaker 1: Thank you, Brittany is not the only voice that I've 855 00:51:06,600 --> 00:51:09,799 Speaker 1: heard appealing to CIS allies to really make a lot 856 00:51:09,880 --> 00:51:13,160 Speaker 1: of noise about this, because these escalating attacks against trans 857 00:51:13,280 --> 00:51:16,920 Speaker 1: folks are simply unacceptable and we need to make that 858 00:51:17,080 --> 00:51:20,120 Speaker 1: clear to everyone, elected officials and everybody else. 859 00:51:25,000 --> 00:51:38,000 Speaker 3: More. After a quick break, let's get right back into it. 860 00:51:41,680 --> 00:51:44,080 Speaker 1: Just a quick heads up. This segment talks about murder. 861 00:51:44,960 --> 00:51:47,919 Speaker 1: So back in twenty twenty two, there was a very 862 00:51:48,120 --> 00:51:51,920 Speaker 1: high profile tragic murder of students at the University of Idaho, 863 00:51:52,760 --> 00:51:54,920 Speaker 1: and it was one of those situations where people were 864 00:51:55,040 --> 00:51:59,000 Speaker 1: using social media platforms like TikTok to weigh in, which 865 00:51:59,080 --> 00:52:02,280 Speaker 1: is often the case in our sort of true crime 866 00:52:02,960 --> 00:52:07,880 Speaker 1: obsessed landscape where whenever something traged happens, strangers follow it 867 00:52:08,040 --> 00:52:12,239 Speaker 1: like it's a television show and not the tragedies of 868 00:52:12,400 --> 00:52:15,800 Speaker 1: real people who you don't even know. One of the 869 00:52:15,800 --> 00:52:18,440 Speaker 1: people weighing in was a Texas woman who says that 870 00:52:18,520 --> 00:52:22,320 Speaker 1: she is psychic, who used TikTok to accuse a University 871 00:52:22,320 --> 00:52:25,600 Speaker 1: of Idaho professor of the murders. So The Idaho Statesman 872 00:52:25,760 --> 00:52:29,080 Speaker 1: reports that Ashley Guilliard, a TikTok personality who claims to 873 00:52:29,160 --> 00:52:32,280 Speaker 1: have psychic abilities, is due in federal court in Boise 874 00:52:32,440 --> 00:52:35,520 Speaker 1: this week. For a scheduled trial to finally resolve the 875 00:52:35,640 --> 00:52:38,200 Speaker 1: three year old civil suit brought by the professor that 876 00:52:38,280 --> 00:52:44,120 Speaker 1: she accused of murder Rebecca Schofield. Now, to be super clear, Schofield, 877 00:52:44,320 --> 00:52:47,000 Speaker 1: the chair of the University of Idaho History Department, has 878 00:52:47,120 --> 00:52:49,920 Speaker 1: never met or taught any of the four students who 879 00:52:49,960 --> 00:52:53,080 Speaker 1: were murdered. She wrote this in her denial. She was 880 00:52:53,160 --> 00:52:56,800 Speaker 1: also out of town in Oregon when these students were killed, 881 00:52:57,800 --> 00:53:00,400 Speaker 1: so she genuinely had nothing to do with it. Is 882 00:53:00,400 --> 00:53:02,920 Speaker 1: want to make that super clear. Back in June of 883 00:53:02,960 --> 00:53:06,560 Speaker 1: twenty twenty four, a judge ruled in favor of Schofield, 884 00:53:06,880 --> 00:53:08,960 Speaker 1: and now it is up to a jury to decide 885 00:53:09,040 --> 00:53:12,440 Speaker 1: what the financial damages will be. Scofield previously adds for 886 00:53:12,480 --> 00:53:17,640 Speaker 1: more than one point eight million dollars. Now this TikTok psychic, 887 00:53:17,920 --> 00:53:21,840 Speaker 1: her behavior is wild. She published more than one hundred 888 00:53:21,920 --> 00:53:26,600 Speaker 1: videos that made erroneous allegations against Schofield. The accusations included 889 00:53:26,600 --> 00:53:28,920 Speaker 1: that the professor had a romantic relationship with one of 890 00:53:28,920 --> 00:53:31,719 Speaker 1: the four victims, which again she never met them, had 891 00:53:31,760 --> 00:53:34,960 Speaker 1: no contact with them, and ordered their deaths to prevent 892 00:53:35,040 --> 00:53:38,120 Speaker 1: the affair with a female student from becoming public. Again 893 00:53:38,200 --> 00:53:41,440 Speaker 1: that's completely made up. The professor sent her cease and 894 00:53:41,480 --> 00:53:45,759 Speaker 1: desist letters, but those letters were ignored and understandably the 895 00:53:45,840 --> 00:53:50,440 Speaker 1: professor Schofield says that the allegations have led to PTSD 896 00:53:51,200 --> 00:53:55,200 Speaker 1: and considerable professional hardship, which I have no trouble believing that. 897 00:53:55,840 --> 00:53:59,560 Speaker 2: Yeah, allegations that she was having an affair with one 898 00:53:59,560 --> 00:54:03,399 Speaker 2: of her stuudents and then like murdered four of them, 899 00:54:03,920 --> 00:54:08,759 Speaker 2: I can see how that would be, you know, a 900 00:54:08,960 --> 00:54:14,200 Speaker 2: challenging professional context around the old university now Gilliard. 901 00:54:13,800 --> 00:54:18,200 Speaker 1: The TikTok psychic. Her defense is First Amendment based. According 902 00:54:18,239 --> 00:54:21,480 Speaker 1: to the Idaho Statesman, she has maintained that the defamation 903 00:54:21,640 --> 00:54:24,680 Speaker 1: lawsuit infringed upon her First Amendment rights and her free 904 00:54:24,719 --> 00:54:28,560 Speaker 1: expression of religion. She says that because she reads tarot cards, 905 00:54:29,120 --> 00:54:32,160 Speaker 1: she argues that it's a spiritual practice that led her 906 00:54:32,280 --> 00:54:35,680 Speaker 1: to quote uncover the motive and details that led to 907 00:54:35,719 --> 00:54:38,920 Speaker 1: the murder, even though this woman had nothing to do 908 00:54:39,040 --> 00:54:44,960 Speaker 1: with the murder. So her hero and like spiritual alignment 909 00:54:45,160 --> 00:54:47,840 Speaker 1: is leading her in the wrong direction. You should not 910 00:54:48,040 --> 00:54:51,920 Speaker 1: be able to use your platform to accuse a random 911 00:54:52,040 --> 00:54:54,920 Speaker 1: stranger of a brutal crime they did not commit. On 912 00:54:55,000 --> 00:54:57,759 Speaker 1: a public platform, And honestly, I think this case is 913 00:54:57,840 --> 00:55:01,279 Speaker 1: kind of a sign of the times because when platforms 914 00:55:01,320 --> 00:55:04,560 Speaker 1: won't really police this kind of thing and the law 915 00:55:04,719 --> 00:55:08,080 Speaker 1: hasn't really caught up, I think increasingly the only tool 916 00:55:08,160 --> 00:55:11,320 Speaker 1: that we're seeing people have is to just sue. Like 917 00:55:11,400 --> 00:55:14,480 Speaker 1: a defamation lawsuit is sort of becoming the new season desist, 918 00:55:14,920 --> 00:55:17,240 Speaker 1: because I think with social media, we have this climate 919 00:55:17,320 --> 00:55:22,040 Speaker 1: that anybody can say anything about anybody and it's okay, right, 920 00:55:22,080 --> 00:55:24,360 Speaker 1: And like, I think more and more people are like, actually, 921 00:55:24,400 --> 00:55:27,520 Speaker 1: it's not okay. If it causes me hardship or makes 922 00:55:27,600 --> 00:55:30,040 Speaker 1: me lose money, I'm going to sue you, and like 923 00:55:30,239 --> 00:55:33,120 Speaker 1: for what it's worth. These lawsuits are expensive and slow, 924 00:55:33,640 --> 00:55:37,000 Speaker 1: it takes years, like this civil case actually outlived the 925 00:55:37,600 --> 00:55:40,440 Speaker 1: actual criminal trial for the murders. But I do think 926 00:55:40,520 --> 00:55:45,080 Speaker 1: it's kind of becomes people's only real recourse when somebody 927 00:55:45,160 --> 00:55:48,640 Speaker 1: with a platform just decides that they're going to ruin 928 00:55:48,760 --> 00:55:52,160 Speaker 1: their life via accusations that are just like fan fiction, 929 00:55:52,480 --> 00:55:54,000 Speaker 1: not grounded in any kind of reality. 930 00:55:54,320 --> 00:55:57,480 Speaker 2: That's right. We've seen that lots of times and stories 931 00:55:57,520 --> 00:56:01,040 Speaker 2: that we've talked about on this show, where yeah, defamation 932 00:56:01,239 --> 00:56:06,920 Speaker 2: lawsuits are one of the seemingly few tools available for 933 00:56:08,320 --> 00:56:14,400 Speaker 2: these harms that did occur when people say patently untrue 934 00:56:14,480 --> 00:56:15,760 Speaker 2: things on social media. 935 00:56:16,239 --> 00:56:19,040 Speaker 1: Yeah, and I do hope I've done an episode about 936 00:56:19,080 --> 00:56:22,480 Speaker 1: this before. I do think this is related to the 937 00:56:22,640 --> 00:56:27,239 Speaker 1: rise of true crime and the rise of social media platforms. 938 00:56:27,800 --> 00:56:30,799 Speaker 1: In the episode that we did about true crime, we'll 939 00:56:30,840 --> 00:56:33,600 Speaker 1: put it in the show notes. I talked about how 940 00:56:34,160 --> 00:56:35,520 Speaker 1: and I know that you know this about me, but 941 00:56:36,440 --> 00:56:40,400 Speaker 1: when I was young, one of my good friends was 942 00:56:40,640 --> 00:56:44,880 Speaker 1: murdered by a serial killer, and it was like, I mean, 943 00:56:45,400 --> 00:56:48,160 Speaker 1: before my parents died. This was the thing that kind 944 00:56:48,160 --> 00:56:52,719 Speaker 1: of separated my life in phases of like before this 945 00:56:52,840 --> 00:56:55,160 Speaker 1: happened and then after this happened like that, that's how 946 00:56:55,239 --> 00:57:01,280 Speaker 1: much of a that's how that's how much it shattered 947 00:57:02,719 --> 00:57:07,120 Speaker 1: my world. And I remember when it happened. My friend 948 00:57:08,120 --> 00:57:13,040 Speaker 1: for a time was before she was found dead. She 949 00:57:13,239 --> 00:57:15,920 Speaker 1: was missing, right, and so the presumption was that she 950 00:57:16,080 --> 00:57:19,000 Speaker 1: was still alive. There was a search for her, and 951 00:57:19,360 --> 00:57:21,280 Speaker 1: her story was all over the news. And I will 952 00:57:21,360 --> 00:57:26,800 Speaker 1: never forget watching that bitch Nancy Grace basically go on 953 00:57:27,000 --> 00:57:33,240 Speaker 1: television and essentially blame my good friend for her own 954 00:57:35,120 --> 00:57:39,840 Speaker 1: murder by highlighting the fact that my friend was kind 955 00:57:39,880 --> 00:57:41,680 Speaker 1: of a punk rocker and went to a lot of 956 00:57:41,760 --> 00:57:45,320 Speaker 1: punk shows, was an artist, had an alternative look about her. 957 00:57:45,440 --> 00:57:48,600 Speaker 1: She did not fit the persona of you know, she 958 00:57:48,840 --> 00:57:50,960 Speaker 1: was white, but she did not fit the persona of 959 00:57:51,040 --> 00:57:55,320 Speaker 1: a you know, angelic looking white girl who has gone missing, 960 00:57:55,920 --> 00:57:59,760 Speaker 1: and essentially made it sound as if my friend was 961 00:57:59,800 --> 00:58:03,480 Speaker 1: a probably involved with CD people doing CD things and 962 00:58:03,600 --> 00:58:06,080 Speaker 1: that's why she was missing. My friend was murdered by 963 00:58:06,080 --> 00:58:08,520 Speaker 1: a serial killer who she had never met, was completely 964 00:58:08,600 --> 00:58:13,120 Speaker 1: unknown to her, uh snatched her from a fucking parking lot. 965 00:58:13,600 --> 00:58:19,440 Speaker 1: And I will never forget what it felt like to 966 00:58:19,520 --> 00:58:27,440 Speaker 1: have a stranger offer their unasked for based in nothing 967 00:58:27,720 --> 00:58:30,080 Speaker 1: pulled out of her ass opinion about what might have 968 00:58:30,120 --> 00:58:34,680 Speaker 1: happened to my friend based on fucking fabrications and nothing else. 969 00:58:35,320 --> 00:58:40,120 Speaker 1: And So I think that when tragedies happen, because we 970 00:58:40,720 --> 00:58:44,520 Speaker 1: listen to a lot of true crime because it feels 971 00:58:44,640 --> 00:58:50,480 Speaker 1: good to like turn other people's pain into content, and 972 00:58:51,000 --> 00:58:54,080 Speaker 1: I think it it's easy for people to be divorced 973 00:58:54,120 --> 00:58:56,800 Speaker 1: from the fact that these are real people and real 974 00:58:56,880 --> 00:59:00,280 Speaker 1: communities and real loved ones and real families. I think 975 00:59:00,320 --> 00:59:02,600 Speaker 1: it makes it emboldens people to get on TikTok and 976 00:59:02,640 --> 00:59:05,280 Speaker 1: to say whatever, because it's just content. It's not real people, 977 00:59:05,720 --> 00:59:09,240 Speaker 1: and it's so hurtful and so harmful and so damaging. 978 00:59:09,840 --> 00:59:14,240 Speaker 1: And yeah, I don't like that we're in a climate 979 00:59:14,280 --> 00:59:17,200 Speaker 1: where the only real recourse folks have when this happens 980 00:59:17,240 --> 00:59:20,200 Speaker 1: to them is to sue. But people shouldn't be allowed 981 00:59:20,240 --> 00:59:22,840 Speaker 1: to do this. It's so harmful and so damaging, and 982 00:59:22,920 --> 00:59:26,680 Speaker 1: I hate that we have an internet landscape that rewards it, 983 00:59:26,800 --> 00:59:30,680 Speaker 1: because nothing gets engagement and clicks like someone getting on 984 00:59:30,800 --> 00:59:34,880 Speaker 1: TikTok and saying absolute nonsense about a tragedy that happened 985 00:59:34,920 --> 00:59:38,000 Speaker 1: to people they don't even know. Just a quick heads up. 986 00:59:38,240 --> 00:59:41,800 Speaker 1: This segment talks about Nicki Minaj and her hard right 987 00:59:41,880 --> 00:59:49,360 Speaker 1: wing pivot. Oh we're talking about it, Nicki Minaje. I'll 988 00:59:49,480 --> 00:59:52,080 Speaker 1: just say it, don't I mean I used to like her. 989 00:59:53,200 --> 00:59:55,720 Speaker 1: There it's like the we did an episode about Nicki 990 00:59:55,760 --> 01:00:00,520 Speaker 1: Minaj and the Barbs. And let me tell you, there 991 01:00:00,560 --> 01:00:03,000 Speaker 1: have only been a few a handful of times in 992 01:00:03,080 --> 01:00:06,240 Speaker 1: my career where I have been worried about being critical 993 01:00:06,280 --> 01:00:11,160 Speaker 1: about somebody one with Oprah, But I did the epic 994 01:00:11,560 --> 01:00:15,120 Speaker 1: behind the Bastards, like six part series on whether or 995 01:00:15,160 --> 01:00:17,680 Speaker 1: not Oprah Winfrey is a bastard probably one of the 996 01:00:17,720 --> 01:00:19,880 Speaker 1: pinnacles of my career. To be honest with you, I 997 01:00:20,160 --> 01:00:22,800 Speaker 1: genuinely was checking my email, and I don't check my 998 01:00:22,840 --> 01:00:26,320 Speaker 1: physical mailblox hardly. Ever, I was checking my mail boss. 999 01:00:26,360 --> 01:00:28,160 Speaker 1: I was so sure I had a seasoned desiscoming. I 1000 01:00:28,320 --> 01:00:31,320 Speaker 1: was like living in fear. The only other person that 1001 01:00:31,440 --> 01:00:34,600 Speaker 1: I felt that way about is Nicki Minaj Because the Barbs, 1002 01:00:35,520 --> 01:00:37,880 Speaker 1: I don't want it with the Barbs. I had a 1003 01:00:37,920 --> 01:00:39,600 Speaker 1: little bit of it from the Barbs. I don't want 1004 01:00:39,640 --> 01:00:42,400 Speaker 1: it from the Barbs. But so she has done this 1005 01:00:42,600 --> 01:00:46,800 Speaker 1: kind of hard right wing pivot. I have lots of 1006 01:00:46,920 --> 01:00:50,200 Speaker 1: reasons for why I think that is. They're not really 1007 01:00:50,240 --> 01:00:53,960 Speaker 1: appropriate for this episode I have. I think there are 1008 01:00:54,000 --> 01:00:58,920 Speaker 1: some specific reasons regarding Nicki Minaj is married to a 1009 01:00:59,040 --> 01:01:02,439 Speaker 1: convicted pataph file who was on a sex registrate list 1010 01:01:02,640 --> 01:01:07,320 Speaker 1: for crimes against minors. Rose are just two facts about 1011 01:01:07,400 --> 01:01:13,800 Speaker 1: Nicki Minaje. You know when people have hardships and need 1012 01:01:14,000 --> 01:01:17,120 Speaker 1: money and access, they do they do things. 1013 01:01:18,800 --> 01:01:19,439 Speaker 3: They do things. 1014 01:01:20,640 --> 01:01:23,400 Speaker 1: Also, side note, let it be known how quick a 1015 01:01:23,520 --> 01:01:26,280 Speaker 1: bum man will ruin your life. You could go from 1016 01:01:26,360 --> 01:01:30,480 Speaker 1: being the top, the pinnacle of culture, so relevant, putting 1017 01:01:30,520 --> 01:01:34,040 Speaker 1: out hits and hits and hits to seeing yourself on 1018 01:01:34,160 --> 01:01:37,880 Speaker 1: stage with J. D. Vance and Donald Trump real quick, 1019 01:01:38,040 --> 01:01:40,520 Speaker 1: let that be a lesson to you like a bum man, 1020 01:01:40,880 --> 01:01:43,000 Speaker 1: and so your association with a bum man could ruin 1021 01:01:43,040 --> 01:01:47,440 Speaker 1: your life real quick. So Nicki Minaje hard right wing pivot. 1022 01:01:48,000 --> 01:01:51,200 Speaker 1: She appeared on stage with Trump at the Trump Account 1023 01:01:51,240 --> 01:01:54,040 Speaker 1: Summit in DC back in January, where she spoke in 1024 01:01:54,120 --> 01:01:57,080 Speaker 1: favor of Trump and his policies. She's been sharing these 1025 01:01:57,400 --> 01:02:01,800 Speaker 1: very weird obviously AI generated pictures of her with Trump. 1026 01:02:02,360 --> 01:02:04,600 Speaker 1: I guess to be like, Oh, Trump and I We're 1027 01:02:04,680 --> 01:02:08,560 Speaker 1: so buddy buddy. Now well, now we have a little 1028 01:02:08,560 --> 01:02:10,320 Speaker 1: more insight into how all of this is playing out 1029 01:02:10,360 --> 01:02:13,640 Speaker 1: online from a piece in Politico that outlined a new report. 1030 01:02:14,120 --> 01:02:16,320 Speaker 1: It's kind of similar to the conversations that we had 1031 01:02:16,360 --> 01:02:18,640 Speaker 1: around bots and how they can be used to amplify 1032 01:02:18,720 --> 01:02:21,320 Speaker 1: narratives online. We talked to the authors of a report 1033 01:02:21,320 --> 01:02:25,440 Speaker 1: about Taylor, Swift and bots. But this new report, compiled 1034 01:02:25,520 --> 01:02:30,280 Speaker 1: by the disinformation detection company Cybra, identifies a coordinated network 1035 01:02:30,320 --> 01:02:33,880 Speaker 1: of bots, more than eighteen thousand of them, are driving 1036 01:02:34,000 --> 01:02:38,640 Speaker 1: algorithms to spread Nicki Minaj's right wing posts on x 1037 01:02:39,200 --> 01:02:42,040 Speaker 1: We've actually been in touch with Cybra about something else, 1038 01:02:43,080 --> 01:02:46,400 Speaker 1: black fatigue. If you ever see the comment black fatigue 1039 01:02:46,480 --> 01:02:48,720 Speaker 1: on TikTok. They have a very interesting report about that. 1040 01:02:49,200 --> 01:02:51,400 Speaker 1: So hopefully at some point soon you will hear from 1041 01:02:51,400 --> 01:02:54,000 Speaker 1: them on the podcast. But as we learned about in 1042 01:02:54,040 --> 01:02:58,520 Speaker 1: our episode about Taylor Swift and bots, it really matters 1043 01:02:58,600 --> 01:03:02,720 Speaker 1: who is commissioning a report. And per Politico, the Saya 1044 01:03:02,760 --> 01:03:05,280 Speaker 1: Bra report was commissioned by a person who was granted 1045 01:03:05,680 --> 01:03:10,000 Speaker 1: an anonymity because they fear public retribution. Yeah, I'm dying 1046 01:03:10,080 --> 01:03:11,080 Speaker 1: to know who that person is. 1047 01:03:11,760 --> 01:03:17,960 Speaker 2: Yeah, so curious is is has Nicki minas? Is she 1048 01:03:18,080 --> 01:03:20,960 Speaker 2: one of these like online right wing people who who 1049 01:03:21,200 --> 01:03:24,720 Speaker 2: target specific people, Like are there people that she is 1050 01:03:24,840 --> 01:03:28,800 Speaker 2: taking down like Canda's Owen style or is her content 1051 01:03:28,920 --> 01:03:31,320 Speaker 2: more just like Trump is so great and I love Trump. 1052 01:03:32,160 --> 01:03:34,760 Speaker 1: She That's a very good question and the answer is 1053 01:03:34,800 --> 01:03:38,720 Speaker 1: pretty nuanced. It's sick how much I follow her social media? 1054 01:03:38,800 --> 01:03:42,120 Speaker 1: The answer is sort of both. She is someone who 1055 01:03:42,280 --> 01:03:46,560 Speaker 1: has a lot of personal distributes and beefs. She actually 1056 01:03:47,120 --> 01:03:50,000 Speaker 1: to let you ask, cause she actually just published a 1057 01:03:50,120 --> 01:03:53,680 Speaker 1: beef list or an enemy's list, just like a week ago. 1058 01:03:55,040 --> 01:03:57,560 Speaker 2: It's such a flex to not only have an enemy's list, 1059 01:03:57,680 --> 01:04:00,280 Speaker 2: but to publish it, be like I want everyone to know. 1060 01:04:01,240 --> 01:04:04,439 Speaker 1: Yeah, I wonder could it be one of her many 1061 01:04:04,640 --> 01:04:07,600 Speaker 1: beefs who commissioned that report. Could it be Cardi B 1062 01:04:07,960 --> 01:04:11,240 Speaker 1: or Megdae Stallion. Imagine that you're working as a disinformation 1063 01:04:11,320 --> 01:04:14,360 Speaker 1: researcher and Cardi B calls you and is like, I 1064 01:04:14,520 --> 01:04:18,160 Speaker 1: needed to put together a report on Nicki Minaj's social media. 1065 01:04:18,600 --> 01:04:20,400 Speaker 1: That would be the greatest day of my life. I 1066 01:04:20,480 --> 01:04:22,240 Speaker 1: don't know that I'd be able to keep it anonymous. 1067 01:04:23,320 --> 01:04:28,360 Speaker 1: Kind of have to tell people, Okay. So, the report 1068 01:04:28,520 --> 01:04:32,920 Speaker 1: found that inauthentic accounts repeatedly amplified Nicki Minaj's post with 1069 01:04:33,160 --> 01:04:37,800 Speaker 1: praise that used quote highly similar language, particularly in response 1070 01:04:37,840 --> 01:04:42,200 Speaker 1: to posts where authentic accounts were criticizing Minaj. Quote supportive 1071 01:04:42,240 --> 01:04:46,400 Speaker 1: comments generated by fake profiles were predominantly brief, repetitive, and 1072 01:04:46,600 --> 01:04:50,800 Speaker 1: low and semantic complexity, consisting largely of praising keywords and 1073 01:04:50,880 --> 01:04:55,120 Speaker 1: positive hashtags rather than original or substantive engagements. Of report 1074 01:04:55,200 --> 01:04:59,920 Speaker 1: found other inauthentic activity are surrounding Minaj included longer, more 1075 01:05:00,200 --> 01:05:04,920 Speaker 1: detailed comments designed to appear organic. Cyber identified one day 1076 01:05:05,000 --> 01:05:08,400 Speaker 1: December twenty sixth, when fake profiles made up fifty six 1077 01:05:08,520 --> 01:05:12,320 Speaker 1: percent of all comments on political posts made by Nicki Minaj. 1078 01:05:13,040 --> 01:05:15,520 Speaker 1: The founders of cybres said, we don't really see a 1079 01:05:15,560 --> 01:05:18,480 Speaker 1: lot of high volume, high impact orchestration of bad and 1080 01:05:18,600 --> 01:05:23,000 Speaker 1: fake actors within that intersection of geopolitically driven and music culture. 1081 01:05:23,480 --> 01:05:25,520 Speaker 1: It is scarce in our field to see the combination 1082 01:05:25,680 --> 01:05:28,160 Speaker 1: of the bad and the fake online world with the 1083 01:05:28,360 --> 01:05:32,400 Speaker 1: entertainment world. So some of the comments on social media 1084 01:05:32,480 --> 01:05:35,840 Speaker 1: that they deem to be fake say things like Nicki, 1085 01:05:36,400 --> 01:05:39,040 Speaker 1: you are brave for living your truth. People might not 1086 01:05:39,120 --> 01:05:41,360 Speaker 1: always agree with what's being played out, but as an 1087 01:05:41,480 --> 01:05:44,840 Speaker 1: artist and watching your growth as a person is inspiring. 1088 01:05:45,240 --> 01:05:48,960 Speaker 1: And this came from user lax seven six two eight 1089 01:05:49,080 --> 01:05:52,000 Speaker 1: three six five speixes, which I feel is like a 1090 01:05:52,040 --> 01:05:55,880 Speaker 1: little bit of a giveaway. Yeah, they couldn't have made 1091 01:05:56,000 --> 01:06:00,800 Speaker 1: the name sound like I don't know, but like barbs 1092 01:06:01,600 --> 01:06:04,640 Speaker 1: many barbs underscore and then the number, but like a. 1093 01:06:04,680 --> 01:06:08,880 Speaker 2: Shorter number, something like try a little bit or just 1094 01:06:09,000 --> 01:06:13,160 Speaker 2: like some words not just a string of letters and numbers. 1095 01:06:13,760 --> 01:06:17,600 Speaker 2: I mean, I guess they I think they use the 1096 01:06:17,960 --> 01:06:20,920 Speaker 2: people who are running these bot networks, I think they 1097 01:06:21,440 --> 01:06:26,920 Speaker 2: like reuse them across different campaigns, so I can understand 1098 01:06:26,920 --> 01:06:31,480 Speaker 2: why it wouldn't be like Barb lover sixty nine or whatever. 1099 01:06:32,040 --> 01:06:33,440 Speaker 1: Yeah, but like. 1100 01:06:35,160 --> 01:06:37,360 Speaker 2: You gotta do better than just a string of letters 1101 01:06:37,400 --> 01:06:42,480 Speaker 2: and numbers. Yeah, talk about low and semantic complexity. 1102 01:06:42,840 --> 01:06:47,360 Speaker 1: Yeah, seriously. Something that we learned from the folks who 1103 01:06:47,400 --> 01:06:51,600 Speaker 1: put together the Taylor Swift bot report is that it's 1104 01:06:51,680 --> 01:06:55,320 Speaker 1: not just the bots operating at a silo. The point 1105 01:06:55,560 --> 01:07:00,800 Speaker 1: is to integrate into genuine, authentic conversations to creased credibility 1106 01:07:00,840 --> 01:07:05,040 Speaker 1: and visibility. And that's exactly what the people who wrote 1107 01:07:05,080 --> 01:07:09,040 Speaker 1: this report about Nicki minaj Is online content also saw. Interestingly, 1108 01:07:09,160 --> 01:07:11,560 Speaker 1: the report also says that Nicki is taking advantage of 1109 01:07:11,600 --> 01:07:15,760 Speaker 1: how algorithms boost toxic content. This is from Politico. When 1110 01:07:15,760 --> 01:07:19,880 Speaker 1: account boosting manage posted content that researchers identified as toxic, 1111 01:07:20,240 --> 01:07:24,240 Speaker 1: the algorithm drove her posts even further. Companies like Cybra 1112 01:07:24,400 --> 01:07:28,040 Speaker 1: determine toxicity by assessing not just the positive or negative 1113 01:07:28,080 --> 01:07:31,080 Speaker 1: words used in a post, but the apparent intent behind them. 1114 01:07:31,880 --> 01:07:35,040 Speaker 1: Personal attacks, slurs, threats, or comments that seemed designed to 1115 01:07:35,120 --> 01:07:38,640 Speaker 1: deter a reasonable person from engaging in conversation are typically 1116 01:07:38,720 --> 01:07:42,520 Speaker 1: considered toxic. When the conversation is limited to toxic content, 1117 01:07:42,720 --> 01:07:48,120 Speaker 1: a substantially stronger amplification effect emerges. These accounts predominantly amplify 1118 01:07:48,200 --> 01:07:52,200 Speaker 1: content produced by Nicki Minaj and Turning Points USA, indicating 1119 01:07:52,280 --> 01:07:56,320 Speaker 1: a notable overlap between the two. Within this discourse, several 1120 01:07:56,360 --> 01:07:59,560 Speaker 1: of the accounts involved had previously been identified as exhibiting 1121 01:07:59,600 --> 01:08:02,640 Speaker 1: fake can pain like behavior in the context of Manaja's 1122 01:08:02,680 --> 01:08:08,760 Speaker 1: online activity within and relating to the music industry. So basically, unfortunately, 1123 01:08:09,840 --> 01:08:13,920 Speaker 1: as we always see on social media, the toxicity is 1124 01:08:14,040 --> 01:08:18,400 Speaker 1: part of why this content is amplified across platforms, and 1125 01:08:18,520 --> 01:08:21,160 Speaker 1: it doesn't surprise me that they were looking at X, 1126 01:08:21,360 --> 01:08:26,320 Speaker 1: where Minaj is increasingly more prevalent. I think that at 1127 01:08:26,400 --> 01:08:30,800 Speaker 1: least temporarily, she deleted her Instagram account after the whole 1128 01:08:31,080 --> 01:08:33,400 Speaker 1: kind of right wing pivot with Trump, even though Nicki 1129 01:08:33,439 --> 01:08:35,360 Speaker 1: Minaj has been like this for a long time, like 1130 01:08:36,560 --> 01:08:39,439 Speaker 1: I'm fascinated by her, but like this didn't come out 1131 01:08:39,479 --> 01:08:41,200 Speaker 1: of nowhere. This has been if you've been paying attention 1132 01:08:41,280 --> 01:08:43,680 Speaker 1: to Nicki Minaj, this is not surprising that this is 1133 01:08:43,800 --> 01:08:47,719 Speaker 1: kind of what she's doing now. But X, it doesn't 1134 01:08:47,720 --> 01:08:50,880 Speaker 1: surprise me that that is where she's really spending a 1135 01:08:50,880 --> 01:08:52,880 Speaker 1: lot of her time. That's what this report is focused on, 1136 01:08:53,320 --> 01:08:58,280 Speaker 1: because it's just a platform where the shit rises. I 1137 01:08:58,320 --> 01:09:00,560 Speaker 1: don't know if you've spent any time on X, but 1138 01:09:01,200 --> 01:09:06,160 Speaker 1: I go there like once every three months to weeks 1139 01:09:06,240 --> 01:09:09,160 Speaker 1: too late retweet when somebody tags me in something like 1140 01:09:09,240 --> 01:09:11,280 Speaker 1: a like a podcast appearance or a guess what I did, 1141 01:09:11,360 --> 01:09:14,400 Speaker 1: I'm like, oh, I will never see it, But anytime 1142 01:09:14,439 --> 01:09:17,640 Speaker 1: I'm there, it's just the worst of the worst of 1143 01:09:17,760 --> 01:09:21,360 Speaker 1: the worst nonsense. And it's not just down at the bottom, 1144 01:09:21,400 --> 01:09:24,679 Speaker 1: it's amplified. So it doesn't surprise me that Nicki Minaj 1145 01:09:24,880 --> 01:09:28,599 Speaker 1: is taking advantage of the fact that toxicity and flurs 1146 01:09:28,760 --> 01:09:31,720 Speaker 1: and threats that's what plays on X. So that's why 1147 01:09:31,760 --> 01:09:33,400 Speaker 1: she's on X, and that's why the bots are on 1148 01:09:33,640 --> 01:09:35,080 Speaker 1: X amplifying her Trump stuff. 1149 01:09:35,439 --> 01:09:37,840 Speaker 2: Yeah like that. It's I have the same experience with 1150 01:09:37,920 --> 01:09:41,960 Speaker 2: the X like once once every couple months, I'll like 1151 01:09:42,080 --> 01:09:44,640 Speaker 2: be reading an article that links to a tweet or 1152 01:09:45,400 --> 01:09:47,600 Speaker 2: or an X or whatever they call them now, and 1153 01:09:48,000 --> 01:09:52,879 Speaker 2: and I'll go there and just immediately is such garbage, 1154 01:09:53,520 --> 01:09:55,560 Speaker 2: like it seems to be what it's for is like 1155 01:09:55,720 --> 01:10:00,680 Speaker 2: toxicity and hate and and also just nonsese though like 1156 01:10:00,840 --> 01:10:05,599 Speaker 2: it's if, it's if content there seems to be either 1157 01:10:05,760 --> 01:10:11,000 Speaker 2: like hateful or just like really dumb, like the least 1158 01:10:11,080 --> 01:10:14,000 Speaker 2: informed takes I've read anywhere on the Internet. 1159 01:10:14,560 --> 01:10:17,000 Speaker 1: Yes, I could not agree with you more. I have 1160 01:10:17,080 --> 01:10:20,200 Speaker 1: seen the exact same thing. It's not all just bots though, 1161 01:10:20,280 --> 01:10:23,640 Speaker 1: and this is usually of the hallmark of these inauthentic 1162 01:10:23,760 --> 01:10:28,120 Speaker 1: campaigns is that they're kind of it's some bots and 1163 01:10:28,240 --> 01:10:32,400 Speaker 1: inauthentic accounts and then a string of authentic accounts from 1164 01:10:32,479 --> 01:10:34,360 Speaker 1: real people that are also in the midst. So these 1165 01:10:34,360 --> 01:10:38,400 Speaker 1: are accounts by folks like Matt Wallace or other conservative 1166 01:10:38,479 --> 01:10:42,920 Speaker 1: figures who sort of layer in and authentically amplify inauthentic 1167 01:10:43,040 --> 01:10:45,759 Speaker 1: narratives by engaging with it. As one of the authors 1168 01:10:45,800 --> 01:10:48,360 Speaker 1: of the report said, real human beings are behaving the 1169 01:10:48,439 --> 01:10:52,040 Speaker 1: exact same way, utilizing the exact same behavioral patterns as 1170 01:10:52,080 --> 01:10:55,160 Speaker 1: you would expect from a well coordinated campaign. They amplify 1171 01:10:55,200 --> 01:10:58,360 Speaker 1: each other, they are writing the same similar wave of narratives. 1172 01:10:58,840 --> 01:11:02,679 Speaker 1: So Nicki Minaj obviously did not reply to Politico's request 1173 01:11:02,720 --> 01:11:06,599 Speaker 1: for comment, but Alan Brusowitz, a media and political advisor 1174 01:11:06,680 --> 01:11:09,920 Speaker 1: to Trump, who considers Nikki a quote very close friend, 1175 01:11:10,640 --> 01:11:13,439 Speaker 1: did tell Politico that he was confident that there are 1176 01:11:13,520 --> 01:11:17,120 Speaker 1: no bots involved with Nicki Minaj's social presence. Nicki has 1177 01:11:17,400 --> 01:11:20,519 Speaker 1: never used bot activity to promote herself on social media 1178 01:11:20,800 --> 01:11:23,160 Speaker 1: because she doesn't need to. She has one of the 1179 01:11:23,320 --> 01:11:27,720 Speaker 1: largest fan bases of any musician that's alive today. How 1180 01:11:27,760 --> 01:11:31,040 Speaker 1: would they know this? Why would a staffer for the 1181 01:11:31,080 --> 01:11:34,639 Speaker 1: Trump administration know whether or not Nicki Minaj has ever 1182 01:11:35,160 --> 01:11:40,120 Speaker 1: used bought accounts? And it might not even be like I, 1183 01:11:41,280 --> 01:11:43,360 Speaker 1: if you ask me, Nicki Minaj is absolutely doing that. 1184 01:11:43,439 --> 01:11:47,479 Speaker 1: She is using bot accounts, but it might not even 1185 01:11:47,520 --> 01:11:51,880 Speaker 1: be Nicki. There have definitely been reports where someone else 1186 01:11:53,320 --> 01:11:56,720 Speaker 1: is coordinating bot accounts on someone else's behalf. So how 1187 01:11:56,800 --> 01:12:00,200 Speaker 1: could this person definitively say, oh, there is no Nicki 1188 01:12:00,240 --> 01:12:02,600 Speaker 1: Minaj is the one public figure in the history of 1189 01:12:02,640 --> 01:12:06,479 Speaker 1: the Internet where there is absolutely zero or inauthentic activity 1190 01:12:06,520 --> 01:12:09,600 Speaker 1: surrounding conversations about her period. How would they know that? 1191 01:12:10,040 --> 01:12:12,840 Speaker 2: Yeah? I mean maybe he knows because he's maybe it's him, 1192 01:12:12,880 --> 01:12:15,720 Speaker 2: Maybe he's paying for the bots. He's like, oh, yeah, 1193 01:12:15,800 --> 01:12:17,080 Speaker 2: Nikki's not using the bots. 1194 01:12:17,640 --> 01:12:18,040 Speaker 1: I am. 1195 01:12:18,520 --> 01:12:20,280 Speaker 2: I am I'm using the box. 1196 01:12:20,560 --> 01:12:23,519 Speaker 1: What if he's using the bots and paid for the 1197 01:12:23,640 --> 01:12:26,000 Speaker 1: report he's the anonymous source. 1198 01:12:26,479 --> 01:12:34,720 Speaker 2: Oh wow, because he is racked by guilt, or he's 1199 01:12:34,840 --> 01:12:38,320 Speaker 2: just a chaos agent. Just just try to layer on 1200 01:12:38,720 --> 01:12:39,599 Speaker 2: the smoke screen. 1201 01:12:39,880 --> 01:12:43,080 Speaker 1: Don't pour cold water on my conspiracy by making by 1202 01:12:43,160 --> 01:12:47,600 Speaker 1: trying to make it make sense. Well, it's been a 1203 01:12:47,720 --> 01:12:50,439 Speaker 1: rough Black History Month from the Nicki Minaj thing, from 1204 01:12:50,479 --> 01:12:53,800 Speaker 1: the Sinner's Baptist thing, and I guess this is our 1205 01:12:53,920 --> 01:12:56,880 Speaker 1: last episode of Black History Months. And I realized I 1206 01:12:56,920 --> 01:12:59,640 Speaker 1: didn't acknowledge it, nor did I receive your gift. By 1207 01:12:59,680 --> 01:13:02,320 Speaker 1: the way, I hope it's in the mail. You've got 1208 01:13:02,360 --> 01:13:04,559 Speaker 1: a few days left to get me my Black History 1209 01:13:04,640 --> 01:13:05,080 Speaker 1: Month gift. 1210 01:13:05,240 --> 01:13:07,560 Speaker 2: It's there, you just haven't found it yet. Yeah, I 1211 01:13:07,720 --> 01:13:09,560 Speaker 2: mailed it a long time ago. Maybe he should go 1212 01:13:09,680 --> 01:13:10,320 Speaker 2: check your mail. 1213 01:13:10,760 --> 01:13:13,160 Speaker 1: Okay, I'm gonna assume it's downstairs in my mailbox and 1214 01:13:13,160 --> 01:13:15,360 Speaker 1: i'll get it after we tape. But I didn't want 1215 01:13:15,360 --> 01:13:17,519 Speaker 1: to share a cool post that I saw from threads 1216 01:13:17,600 --> 01:13:21,720 Speaker 1: user unapologetically Jackie that I didn't know, which is that 1217 01:13:21,960 --> 01:13:24,840 Speaker 1: every time you drop a reaction, Jeff, do you say 1218 01:13:24,920 --> 01:13:25,679 Speaker 1: Jiff or Giff? 1219 01:13:26,240 --> 01:13:29,320 Speaker 2: I say gifts. Oh, I say Jiff weird? 1220 01:13:29,760 --> 01:13:34,400 Speaker 1: Steve will Hit, the creator of Graphics Interchange Format or 1221 01:13:34,520 --> 01:13:38,200 Speaker 1: GIF in nineteen eighty seven, says that the correct pronunciation 1222 01:13:38,439 --> 01:13:42,639 Speaker 1: is jiff, a soft G mimicking the peanut butter brand Jiff, 1223 01:13:43,520 --> 01:13:47,240 Speaker 1: while the hard G pronunciation is widely used. He insisted 1224 01:13:47,280 --> 01:13:50,400 Speaker 1: in his twenty thirteen Webby's Award speech that it's Jeff, 1225 01:13:51,400 --> 01:13:55,120 Speaker 1: saying he famously said, choosey programmers, choose Jiff. That's actually 1226 01:13:55,160 --> 01:13:55,599 Speaker 1: pretty good. 1227 01:13:56,400 --> 01:13:57,920 Speaker 2: That is pretty good in any event. 1228 01:13:58,960 --> 01:14:01,840 Speaker 1: Every time you drop it Jiff or GIF, Thank Lisa 1229 01:14:01,920 --> 01:14:07,599 Speaker 1: Jelobter or is it Gillobter, oh harg softgy you we'll see. 1230 01:14:08,920 --> 01:14:13,200 Speaker 1: She helped engineer the animation tech that made jiffs. Black 1231 01:14:13,240 --> 01:14:16,400 Speaker 1: women have been running internet culture. Y'all just got here, 1232 01:14:17,040 --> 01:14:20,719 Speaker 1: and that's true. I love that. Lisa. If you're listening, 1233 01:14:21,240 --> 01:14:24,519 Speaker 1: thank you for your contributions to internet culture. Every time 1234 01:14:24,600 --> 01:14:27,439 Speaker 1: I post a jiff of Ninni leaks reacting to something, 1235 01:14:27,520 --> 01:14:31,040 Speaker 1: I will think of you. Also, very quickly, I wanted 1236 01:14:31,080 --> 01:14:34,519 Speaker 1: to say thank you to everybody who left very kind 1237 01:14:34,560 --> 01:14:38,080 Speaker 1: comments about the book. Thank you to those of you 1238 01:14:38,320 --> 01:14:42,080 Speaker 1: who have sent in your book preorders. If you missed it. 1239 01:14:42,840 --> 01:14:45,400 Speaker 1: Mike and I have an audiobook coming out about intimacy 1240 01:14:45,439 --> 01:14:48,759 Speaker 1: and AI called Love at First Prompt. It is available 1241 01:14:48,800 --> 01:14:50,679 Speaker 1: for pre order now. Even go to Love at First 1242 01:14:50,720 --> 01:14:53,680 Speaker 1: prompt dot com to preorder it. It would mean the 1243 01:14:53,680 --> 01:14:55,439 Speaker 1: world to me if y'all did that, But no pressure. 1244 01:14:56,040 --> 01:14:59,920 Speaker 1: If you preorder it and send us a screenshot of 1245 01:15:00,000 --> 01:15:02,080 Speaker 1: your pre order, you can email it, you can post 1246 01:15:02,120 --> 01:15:03,960 Speaker 1: it on social. Whatever you want to do, we will 1247 01:15:04,040 --> 01:15:06,640 Speaker 1: send you. I will write you a handwritten thank you 1248 01:15:06,760 --> 01:15:08,760 Speaker 1: note one, and we will send you a sticker. If 1249 01:15:08,800 --> 01:15:11,639 Speaker 1: you already have a sticker, maybe a magnat, well, we'll 1250 01:15:11,720 --> 01:15:14,960 Speaker 1: send you something cool. We love you so much. The 1251 01:15:15,400 --> 01:15:17,800 Speaker 1: reaction has been tremendous. I cannot tell you how much 1252 01:15:17,800 --> 01:15:19,680 Speaker 1: I appreciate it. If you want to be part of that, 1253 01:15:20,000 --> 01:15:22,360 Speaker 1: please pre order the book and we will send you something. 1254 01:15:23,240 --> 01:15:23,759 Speaker 1: We promise. 1255 01:15:24,200 --> 01:15:26,000 Speaker 2: Thanks for listening. Let us know what your thought about 1256 01:15:26,000 --> 01:15:28,000 Speaker 2: these stories. You can send us an email at Hello 1257 01:15:28,080 --> 01:15:31,440 Speaker 2: at tangoty dot com. Leave us a comment on Spotify. 1258 01:15:33,439 --> 01:15:35,200 Speaker 2: We've been getting a lot of great comments on Spotify. 1259 01:15:35,400 --> 01:15:38,000 Speaker 2: It's fantastic. Thank you for leaving them, and you can 1260 01:15:38,080 --> 01:15:42,000 Speaker 2: follow Bridget on social Bridget Marie in DC on Instagram 1261 01:15:42,080 --> 01:15:44,360 Speaker 2: and TikTok. You can follow There Are No Girls on 1262 01:15:44,400 --> 01:15:48,160 Speaker 2: the Internet on YouTube and blue Sky. So hope to 1263 01:15:48,200 --> 01:15:50,559 Speaker 2: see you there and I will see you on the Internet. 1264 01:15:55,040 --> 01:15:57,000 Speaker 2: Got a story about an interesting thing in tech? I 1265 01:15:57,160 --> 01:15:57,800 Speaker 2: just want to say hi. 1266 01:15:58,280 --> 01:16:00,640 Speaker 1: You can reach us at Hello at tangody dot You 1267 01:16:00,680 --> 01:16:03,360 Speaker 1: can also find transcripts for today's episode at tengoiti dot com. 1268 01:16:03,920 --> 01:16:05,519 Speaker 1: There Are No Girls on the Internet was created by 1269 01:16:05,600 --> 01:16:08,599 Speaker 1: me Bridget Todd. It's a production of iHeartRadio and Unbossed 1270 01:16:08,600 --> 01:16:12,240 Speaker 1: Creative Jonathan Strickland is our executive producer. Tari Harrison is 1271 01:16:12,240 --> 01:16:15,839 Speaker 1: our producer and sound engineer. Michael Almado is our contributing producer. 1272 01:16:16,320 --> 01:16:20,080 Speaker 1: Edited by Joey pat I'm your host, Bridget Todd. If 1273 01:16:20,120 --> 01:16:21,840 Speaker 1: you want to help us grow, rate and review us 1274 01:16:21,880 --> 01:16:25,479 Speaker 1: on Apple Podcasts. For more podcasts from iHeartRadio, check out 1275 01:16:25,520 --> 01:16:28,400 Speaker 1: the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.