1 00:00:00,480 --> 00:00:04,000 Speaker 1: Hey, this is Future Bridgid. So we recorded this week's 2 00:00:04,040 --> 00:00:07,640 Speaker 1: news roundup on Thursday afternoon, the day before The New 3 00:00:07,680 --> 00:00:10,360 Speaker 1: York Times just broke a story about Kate Middleton being 4 00:00:10,400 --> 00:00:12,720 Speaker 1: diagnosed with cancer. You can read the New York Times 5 00:00:12,760 --> 00:00:15,520 Speaker 1: as full story in the show notes. But this news 6 00:00:15,560 --> 00:00:18,120 Speaker 1: came out just as we published the episode for this week, 7 00:00:18,320 --> 00:00:20,279 Speaker 1: so we pulled the episode down so that I could 8 00:00:20,320 --> 00:00:22,919 Speaker 1: re record this introduction that you're hearing right now to 9 00:00:22,920 --> 00:00:30,040 Speaker 1: give that context. Okay, thanks for listening, and here's the episode, 10 00:00:30,880 --> 00:00:32,600 Speaker 1: There Are No Girls on the Internet, as a production 11 00:00:32,640 --> 00:00:40,159 Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridget Todd and this 12 00:00:40,240 --> 00:00:44,640 Speaker 1: is There Are No Girls on the Internet. This is 13 00:00:44,640 --> 00:00:46,640 Speaker 1: There Are No Girls on the Internet, where we explore 14 00:00:46,680 --> 00:00:50,640 Speaker 1: the intersection of technology, social media, the Internet, and identity. 15 00:00:51,000 --> 00:00:54,440 Speaker 1: And you're listening to another one of our weekly roundups 16 00:00:54,440 --> 00:00:57,120 Speaker 1: where we summarize and break down the news that you 17 00:00:57,200 --> 00:00:59,960 Speaker 1: might have missed on the Internet this week. Mike, thank you, 18 00:01:00,000 --> 00:01:01,840 Speaker 1: thank you for being here again. The last time we 19 00:01:01,840 --> 00:01:04,040 Speaker 1: saw each other on the mic, we were talking about 20 00:01:04,280 --> 00:01:05,240 Speaker 1: Kate Middleton. 21 00:01:05,600 --> 00:01:06,520 Speaker 2: That's right. Uh. 22 00:01:07,040 --> 00:01:08,360 Speaker 3: It was a story that had been going on for 23 00:01:08,400 --> 00:01:11,480 Speaker 3: a little while, and it seems to continue to be 24 00:01:11,560 --> 00:01:12,080 Speaker 3: going on. 25 00:01:12,520 --> 00:01:15,520 Speaker 1: It has continued, So I did want to give folks 26 00:01:15,560 --> 00:01:18,319 Speaker 1: a little bit of a brief update on what's happened 27 00:01:18,400 --> 00:01:22,000 Speaker 1: in Kate Middleton Royal's world since we last spoke. So 28 00:01:22,480 --> 00:01:26,880 Speaker 1: this week, TMZ released a video of Kate out shopping. 29 00:01:27,319 --> 00:01:29,800 Speaker 1: The video was shot by like a random person on 30 00:01:29,880 --> 00:01:32,440 Speaker 1: a cell phone, just somebody off the street, who then 31 00:01:32,959 --> 00:01:37,760 Speaker 1: provided it to TMZ. So TMZ also published the metadata 32 00:01:37,800 --> 00:01:41,560 Speaker 1: of this video. Metadata tells you when and where a 33 00:01:41,600 --> 00:01:45,119 Speaker 1: piece of content was recorded, which confirms that this video 34 00:01:45,440 --> 00:01:49,240 Speaker 1: was indeed recorded next to Kate Middleton's home and was 35 00:01:49,280 --> 00:01:52,080 Speaker 1: recorded on that Saturday. Just like they said, it was 36 00:01:52,160 --> 00:01:53,000 Speaker 1: case close right. 37 00:01:53,360 --> 00:01:55,560 Speaker 2: Maybe maybe is a good. 38 00:01:55,360 --> 00:01:57,880 Speaker 1: Way to put it, because just like we talked about 39 00:01:57,920 --> 00:02:01,400 Speaker 1: in that episode, really breaking down Kate Middleton, but really 40 00:02:01,480 --> 00:02:05,320 Speaker 1: talking about how conspiracy theories move online more generally, once 41 00:02:05,360 --> 00:02:08,560 Speaker 1: a conspiracy theory reaches a certain point, there is like 42 00:02:08,720 --> 00:02:12,200 Speaker 1: no amount of hard evidence that will satisfy people who 43 00:02:12,280 --> 00:02:17,119 Speaker 1: are deeply, deeply convinced that something fishy is going on. However, 44 00:02:17,880 --> 00:02:20,600 Speaker 1: that said, I have to say that the way that 45 00:02:20,680 --> 00:02:24,040 Speaker 1: TMZ is acting right now after having published this video 46 00:02:24,840 --> 00:02:29,760 Speaker 1: is weird, Like it is they're acting a little bit weird. 47 00:02:29,840 --> 00:02:33,680 Speaker 1: So after publishing this video and saying it is Kate 48 00:02:34,000 --> 00:02:37,000 Speaker 1: definitively case clothed, here's the metadata. Let's put all the 49 00:02:37,040 --> 00:02:41,120 Speaker 1: conspiracy theories to rest. Then two of their executive producers 50 00:02:41,160 --> 00:02:45,880 Speaker 1: went on TMZ Live, which is like TMZ's live television show, 51 00:02:46,160 --> 00:02:51,639 Speaker 1: and basically kind of walked back whether or not they 52 00:02:51,680 --> 00:02:53,079 Speaker 1: thought it was actually her. 53 00:02:54,000 --> 00:02:54,919 Speaker 4: Here's what they said. 54 00:02:55,320 --> 00:02:56,720 Speaker 2: So she looks great. 55 00:02:57,000 --> 00:02:58,520 Speaker 4: Where's the security? 56 00:02:59,480 --> 00:03:00,679 Speaker 5: Where is the security? 57 00:03:00,720 --> 00:03:03,839 Speaker 6: That's a good question. And why is it with all 58 00:03:03,919 --> 00:03:07,240 Speaker 6: the people that were there, this is the only video 59 00:03:07,360 --> 00:03:10,639 Speaker 6: that surfaced, the video that we secured. Why is it 60 00:03:10,880 --> 00:03:13,840 Speaker 6: that they're in the store, moseying around, going to the 61 00:03:13,880 --> 00:03:18,239 Speaker 6: cash regiser. Nobody's taking any pictures, any photos, any video, 62 00:03:18,400 --> 00:03:19,080 Speaker 6: but we got this. 63 00:03:20,280 --> 00:03:24,160 Speaker 1: So I genuinely do not know what is going on 64 00:03:24,280 --> 00:03:29,800 Speaker 1: here because I think that TMZ would have authenticated this 65 00:03:30,040 --> 00:03:34,200 Speaker 1: video as being Kate before publishing it and saying that 66 00:03:34,240 --> 00:03:37,600 Speaker 1: it's Kate. Now, I can hear people out there listening 67 00:03:37,640 --> 00:03:41,400 Speaker 1: who are thinking, bridget TMZ is a shady tabloid. Why 68 00:03:41,400 --> 00:03:44,320 Speaker 1: would you expect them to verify what they put out 69 00:03:44,440 --> 00:03:46,720 Speaker 1: or confirm what they put out before they publish it, 70 00:03:46,880 --> 00:03:49,760 Speaker 1: to which I won't say I'll push back on that, 71 00:03:49,800 --> 00:03:52,920 Speaker 1: but I would complicate that a little bit because yes, 72 00:03:53,720 --> 00:03:57,440 Speaker 1: TMZ is an outlet that is run by pieces of 73 00:03:57,600 --> 00:04:02,800 Speaker 1: human garbage who have no ethical or moral compass whatsoever. 74 00:04:03,720 --> 00:04:05,760 Speaker 1: They are not good people. I will we could do 75 00:04:05,760 --> 00:04:09,640 Speaker 1: a whole other episode on this. However, TMZ is not 76 00:04:09,720 --> 00:04:12,040 Speaker 1: an outlet that tends to get stuff wrong. That is 77 00:04:12,080 --> 00:04:14,200 Speaker 1: one thing I can say about them, Like, if TMZ 78 00:04:14,320 --> 00:04:17,679 Speaker 1: reports that somebody is dead, that person is probably dead 79 00:04:17,960 --> 00:04:20,599 Speaker 1: even if no other outlet is reporting it because they're TMZ. 80 00:04:20,760 --> 00:04:23,120 Speaker 1: Like I remember when Michael Jackson died. They were the 81 00:04:23,160 --> 00:04:25,000 Speaker 1: first to run with that story, and everybody was like, 82 00:04:25,040 --> 00:04:28,520 Speaker 1: well it's TMZ, let's wait until we get another outlet. 83 00:04:28,640 --> 00:04:32,440 Speaker 1: But the reason why TMZ tends to always sort of 84 00:04:32,480 --> 00:04:35,520 Speaker 1: get it right on these big breaking stories is because, 85 00:04:35,640 --> 00:04:38,600 Speaker 1: like they are known to have police on their payroll 86 00:04:38,680 --> 00:04:42,120 Speaker 1: and like payoff police. Like folks might remember back when 87 00:04:42,240 --> 00:04:45,799 Speaker 1: Kobe Bryant and his daughter died in that helicopter crash, 88 00:04:45,880 --> 00:04:48,840 Speaker 1: TMZ reported that news first, and it started a whole 89 00:04:48,880 --> 00:04:52,200 Speaker 1: conversation of whether or not they should have reported that 90 00:04:52,279 --> 00:04:55,159 Speaker 1: because the police had still not notified all of the 91 00:04:55,200 --> 00:04:57,599 Speaker 1: family members, and so TMC is an outlet that is 92 00:04:57,600 --> 00:05:01,919 Speaker 1: known for reporting things first and correct actually perhaps because 93 00:05:02,120 --> 00:05:05,000 Speaker 1: they are unethical. 94 00:05:04,720 --> 00:05:06,000 Speaker 4: Goules with no souls. 95 00:05:06,200 --> 00:05:10,359 Speaker 1: So if TMZ is publishing something generally speaking that is 96 00:05:10,440 --> 00:05:11,960 Speaker 1: like they're not an outlet that is known to put 97 00:05:12,000 --> 00:05:14,000 Speaker 1: out just like blies. 98 00:05:14,560 --> 00:05:17,159 Speaker 3: But it sounds like maybe this story and this photo 99 00:05:17,160 --> 00:05:17,960 Speaker 3: are a little different. 100 00:05:18,200 --> 00:05:21,039 Speaker 1: Well, I genuinely don't know what's going on here. Like 101 00:05:21,080 --> 00:05:24,719 Speaker 1: it's possible that TMZ has just sensed that, like they 102 00:05:24,720 --> 00:05:26,960 Speaker 1: have like what they see as a juicy story. 103 00:05:27,279 --> 00:05:28,760 Speaker 4: So they're they're. 104 00:05:28,600 --> 00:05:32,440 Speaker 1: Putting out a video and saying this is confirmed to 105 00:05:32,440 --> 00:05:35,000 Speaker 1: be Kate, and then their producers are going on their 106 00:05:35,360 --> 00:05:36,880 Speaker 1: channel and saying like, oh, we don't know if it's 107 00:05:36,920 --> 00:05:39,080 Speaker 1: Kate or not. Maybe they're thinking that like this will 108 00:05:39,160 --> 00:05:41,320 Speaker 1: lead to more engagement on a story that they perceive 109 00:05:41,400 --> 00:05:45,119 Speaker 1: as like juicy. Maybe they did not authenticate that video 110 00:05:45,160 --> 00:05:48,200 Speaker 1: before publishing it. I really don't know, Like anybody's guest 111 00:05:48,279 --> 00:05:50,080 Speaker 1: is as good as mine in terms of what is 112 00:05:50,120 --> 00:05:51,160 Speaker 1: actually going on here. 113 00:05:51,560 --> 00:05:54,760 Speaker 3: Yeah, and it's probably one of like a thousand stories 114 00:05:54,800 --> 00:05:57,760 Speaker 3: where we might never know exactly. 115 00:05:57,320 --> 00:06:00,440 Speaker 1: But I will say, like there are images flowing around 116 00:06:00,520 --> 00:06:03,640 Speaker 1: on social media right now that are purporting to show 117 00:06:03,760 --> 00:06:09,080 Speaker 1: a quote enhanced still from that video, purporting to prove 118 00:06:09,160 --> 00:06:12,080 Speaker 1: that like, oh, it's not really caids, it's a body double, 119 00:06:12,120 --> 00:06:15,200 Speaker 1: it's a stand in. Those are one hundred and ten 120 00:06:15,240 --> 00:06:17,719 Speaker 1: percent fake, Like I can, I can assure you that 121 00:06:17,800 --> 00:06:21,080 Speaker 1: if anybody is pushing around images that are purporting to 122 00:06:21,200 --> 00:06:25,520 Speaker 1: use AI to like enhance these this video, that's not 123 00:06:25,560 --> 00:06:28,599 Speaker 1: even how it works. Those are fake. As Google's Adriana 124 00:06:28,680 --> 00:06:31,760 Speaker 1: porter Felt wrote on Twitter, I keep seeing people post 125 00:06:31,880 --> 00:06:35,839 Speaker 1: photo enhancements as fact. This does not actually enhance the 126 00:06:35,880 --> 00:06:39,839 Speaker 1: original photo. It invents a plausible new photo and overlays 127 00:06:39,880 --> 00:06:43,320 Speaker 1: it on the blurry original. The generated version is actually 128 00:06:43,720 --> 00:06:47,680 Speaker 1: less trustworthy than the original blurry video. Don't do this, Like, 129 00:06:48,240 --> 00:06:49,760 Speaker 1: I think it's this idea that we all live in 130 00:06:49,800 --> 00:06:52,960 Speaker 1: a CSI episode where you can just type type type 131 00:06:52,960 --> 00:06:57,599 Speaker 1: type type enhance type type type TI type enhance using AI. 132 00:06:58,040 --> 00:06:59,000 Speaker 1: That doesn't work that way. 133 00:06:59,200 --> 00:07:00,080 Speaker 4: These are all bay. 134 00:07:00,760 --> 00:07:01,360 Speaker 2: Yeah, that's right. 135 00:07:01,400 --> 00:07:03,760 Speaker 3: I think you and I were talking about false precision 136 00:07:03,920 --> 00:07:06,920 Speaker 3: in some other context this morning, right, like the idea, 137 00:07:07,279 --> 00:07:08,760 Speaker 3: and I think it applies here too, right, that you 138 00:07:09,520 --> 00:07:13,600 Speaker 3: can have this photo that looks very highly detailed and precise, 139 00:07:13,640 --> 00:07:16,160 Speaker 3: and it tricks your brain into thinking that, like, oh, 140 00:07:16,200 --> 00:07:21,640 Speaker 3: this more precise, sharper image clearly must be more true. 141 00:07:22,200 --> 00:07:24,320 Speaker 3: But that's just like not the case, for exactly the 142 00:07:24,320 --> 00:07:28,280 Speaker 3: way that that well spoken quote from that Google person 143 00:07:28,920 --> 00:07:33,360 Speaker 3: mentioned like it looks sharper, but it's just an invented, 144 00:07:34,160 --> 00:07:35,600 Speaker 3: plausible image. 145 00:07:35,800 --> 00:07:39,240 Speaker 1: And that's why I think some of the conspiracy theories 146 00:07:39,280 --> 00:07:42,520 Speaker 1: about this won't die, because your brain tricks you into 147 00:07:42,560 --> 00:07:46,520 Speaker 1: thinking this sharp, clear image must be correct, when in 148 00:07:46,560 --> 00:07:49,880 Speaker 1: fact it is less trustworthy than that grainy video. So 149 00:07:50,000 --> 00:07:52,520 Speaker 1: I have to say this, and this is pretty horrifying. 150 00:07:53,000 --> 00:07:57,120 Speaker 1: Kate's private medical information was involved in a data security 151 00:07:57,160 --> 00:08:00,520 Speaker 1: breach after at least one member of the staff at 152 00:08:00,520 --> 00:08:03,360 Speaker 1: the hospital where she was staying back in January attempted 153 00:08:03,360 --> 00:08:06,560 Speaker 1: to view her medical records while she was a patient there. 154 00:08:07,200 --> 00:08:10,440 Speaker 1: Authorities are actually now investigating whether or not the hospital 155 00:08:10,480 --> 00:08:13,720 Speaker 1: broke the law by failing to report this breach in 156 00:08:13,760 --> 00:08:17,080 Speaker 1: a timely manner. So there is no ambiguity or gray 157 00:08:17,120 --> 00:08:21,760 Speaker 1: area here. This is just so deeply deeply messed up. 158 00:08:22,160 --> 00:08:25,120 Speaker 1: End of sentence period, and I think this was the 159 00:08:25,160 --> 00:08:27,320 Speaker 1: point I was trying to make in the episode that 160 00:08:27,360 --> 00:08:29,360 Speaker 1: we did breaking all of this down last week, that 161 00:08:29,600 --> 00:08:33,679 Speaker 1: there is a difference between the public asking questions about 162 00:08:33,720 --> 00:08:39,080 Speaker 1: how Kensington Palace, right a political and social institution, is moving, 163 00:08:39,160 --> 00:08:42,679 Speaker 1: and how the Kensington Palace is communicating with the public 164 00:08:43,200 --> 00:08:49,440 Speaker 1: without demanding access and you know, an entitlement to information 165 00:08:49,559 --> 00:08:54,600 Speaker 1: about an individual's like private sensitive health information right. You know, 166 00:08:54,760 --> 00:08:57,480 Speaker 1: I think that when a public who is voracious for 167 00:08:57,600 --> 00:09:01,360 Speaker 1: any kind of information about Kate as a person blurs 168 00:09:01,400 --> 00:09:03,880 Speaker 1: those lines, we get this dynamic where people really do 169 00:09:03,920 --> 00:09:06,800 Speaker 1: feel like it is okay to try to obtain an 170 00:09:06,840 --> 00:09:12,280 Speaker 1: individual's personal, private medical information to satisfy that question, and 171 00:09:12,520 --> 00:09:14,880 Speaker 1: it's not. Not only is it illegal, it is wrong. 172 00:09:14,960 --> 00:09:17,320 Speaker 1: And so I think that's really where we're kind of 173 00:09:17,320 --> 00:09:21,520 Speaker 1: getting into this problem of I think it is totally 174 00:09:21,640 --> 00:09:25,440 Speaker 1: fair to scrutinize and criticize and ask questions about the 175 00:09:25,440 --> 00:09:28,400 Speaker 1: way that the institution that is, the Royal family is 176 00:09:28,400 --> 00:09:29,640 Speaker 1: communicating with the public. 177 00:09:30,080 --> 00:09:31,280 Speaker 4: That is totally fair game. 178 00:09:31,520 --> 00:09:35,560 Speaker 1: That is different than demanding information about an individual, in 179 00:09:35,600 --> 00:09:38,800 Speaker 1: this case, Kate's private medical information. 180 00:09:38,960 --> 00:09:39,680 Speaker 4: Does that make sense? 181 00:09:40,200 --> 00:09:44,840 Speaker 3: It does make sense, And uh, you know, I know 182 00:09:44,920 --> 00:09:48,840 Speaker 3: that we got a few emails from listeners after that 183 00:09:49,080 --> 00:09:53,520 Speaker 3: previous episode, and I think it's worth, you know, clarifying 184 00:09:53,800 --> 00:09:57,680 Speaker 3: why we're talking about this story on this show. And 185 00:09:57,960 --> 00:10:00,400 Speaker 3: you know, so like Bridget, are we talking talking about 186 00:10:00,400 --> 00:10:04,160 Speaker 3: this because you have some sort of personal interest in 187 00:10:04,200 --> 00:10:08,000 Speaker 3: the royal family, or like some expertise in the royal family, 188 00:10:09,000 --> 00:10:12,880 Speaker 3: or because you feel like, you know, all of you 189 00:10:12,920 --> 00:10:15,360 Speaker 3: have some personal feelings about Kate Middleton and feel like 190 00:10:15,440 --> 00:10:17,400 Speaker 3: we have a right to know, like what's going on 191 00:10:17,440 --> 00:10:19,920 Speaker 3: with her personal life? Or are those your motivations for 192 00:10:20,000 --> 00:10:21,520 Speaker 3: wanting to talk about it on this show. 193 00:10:21,840 --> 00:10:25,440 Speaker 1: Absolutely not. I don't know anything about Kate Middleton. Of 194 00:10:25,520 --> 00:10:27,720 Speaker 1: all of the royals that I know anything about, she 195 00:10:27,840 --> 00:10:29,439 Speaker 1: is the one that I have followed the least, and 196 00:10:29,480 --> 00:10:31,319 Speaker 1: I don't really follow any of them, so that's actually 197 00:10:31,480 --> 00:10:34,800 Speaker 1: really saying something. But I do think that when it 198 00:10:34,840 --> 00:10:40,920 Speaker 1: comes to institutions that wield public power and do enjoy 199 00:10:40,960 --> 00:10:44,880 Speaker 1: a level of public support, it is not just okay 200 00:10:45,000 --> 00:10:47,920 Speaker 1: to ask questions and scrutinize how they are communicating with 201 00:10:47,920 --> 00:10:49,920 Speaker 1: the public. I think it's necessary, and I think that 202 00:10:49,960 --> 00:10:52,480 Speaker 1: when we get into these gray areas of people being like, well, 203 00:10:52,760 --> 00:10:56,360 Speaker 1: how dare you demand private information about Kate? I don't 204 00:10:56,360 --> 00:10:58,920 Speaker 1: think that anybody should be demanding private information about Kate. 205 00:10:59,040 --> 00:11:01,160 Speaker 1: I certainly don't think that if you are someone working 206 00:11:01,240 --> 00:11:03,240 Speaker 1: in a clinic where she may have stayed, but you 207 00:11:03,280 --> 00:11:06,280 Speaker 1: should be going through her private health records. 208 00:11:06,320 --> 00:11:06,800 Speaker 4: My god. 209 00:11:07,000 --> 00:11:11,560 Speaker 1: However, that is different than asking questions about, well, who 210 00:11:11,679 --> 00:11:17,439 Speaker 1: in Kensington Palace used photoshop to doctor images in a 211 00:11:17,520 --> 00:11:20,239 Speaker 1: way that they had to have known was against Newswire 212 00:11:20,640 --> 00:11:22,720 Speaker 1: rules and then tried to submit them as if they 213 00:11:22,760 --> 00:11:26,080 Speaker 1: were not doctored. I think that's a totally fair question 214 00:11:26,280 --> 00:11:29,880 Speaker 1: and a question that speaks to how institutions are communicating 215 00:11:29,880 --> 00:11:32,640 Speaker 1: with the public. But that's a different thing than like, 216 00:11:33,000 --> 00:11:35,720 Speaker 1: what kind of medical issue did Kate have and when 217 00:11:35,720 --> 00:11:38,559 Speaker 1: did she have it? Like, that's a completely different question 218 00:11:38,760 --> 00:11:41,720 Speaker 1: that I think is Kate's private business. Before we got 219 00:11:41,720 --> 00:11:44,520 Speaker 1: on the mic, I was reading about how another image, 220 00:11:44,559 --> 00:11:47,800 Speaker 1: another holiday image of the late Queen, it was revealed 221 00:11:47,800 --> 00:11:51,920 Speaker 1: that that Kensington Palace had doctored that image similarly to 222 00:11:51,960 --> 00:11:54,960 Speaker 1: the one of Kate, and you know, did not tell anybody, 223 00:11:55,040 --> 00:11:57,320 Speaker 1: and it got past it got past fact checkers, and 224 00:11:57,360 --> 00:12:00,480 Speaker 1: it was distributed via Newswire, and I was a prize 225 00:12:00,480 --> 00:12:02,960 Speaker 1: to see a lot of the commenters saying things like 226 00:12:03,160 --> 00:12:06,720 Speaker 1: they're celebrities. It's news now that celebrities are photoshopping wrinkles 227 00:12:06,720 --> 00:12:09,640 Speaker 1: out of their images and like using photoshop to make 228 00:12:09,640 --> 00:12:12,680 Speaker 1: them look better. And no, first of all, these people 229 00:12:12,760 --> 00:12:16,080 Speaker 1: are not normal celebrities. So I'm not even interested in 230 00:12:16,840 --> 00:12:19,520 Speaker 1: whether or not the Late Queen use photoshop or whatever. 231 00:12:19,800 --> 00:12:24,480 Speaker 1: The question is, did they knowingly violate the very clear 232 00:12:24,520 --> 00:12:28,640 Speaker 1: and explicit rules around how you submit authenticated photos to 233 00:12:29,080 --> 00:12:32,680 Speaker 1: newswire services to get distributed out in an official capacity? 234 00:12:33,160 --> 00:12:36,240 Speaker 1: Did they violate that? I'm not interested in with If 235 00:12:36,240 --> 00:12:40,040 Speaker 1: they just put photoshopped images on their own personal instagrams 236 00:12:40,080 --> 00:12:42,440 Speaker 1: and leave it at that, who cares? But this is 237 00:12:42,440 --> 00:12:45,120 Speaker 1: a very different thing. And again, I just think that 238 00:12:45,160 --> 00:12:50,320 Speaker 1: the blurriness between individual actions of individuals and the way 239 00:12:50,360 --> 00:12:55,680 Speaker 1: that this massive, powerful, publicly supported institution is communicating with 240 00:12:55,720 --> 00:12:58,280 Speaker 1: the public, those are two different things. One of them 241 00:12:58,360 --> 00:12:59,880 Speaker 1: is fair game, and in fact that I would argue 242 00:13:00,040 --> 00:13:01,880 Speaker 1: we should be asking questions about the other. 243 00:13:02,040 --> 00:13:02,680 Speaker 4: Who cares? 244 00:13:02,960 --> 00:13:04,720 Speaker 1: And I think that's sort of the thread that we're 245 00:13:04,760 --> 00:13:06,080 Speaker 1: losing in this conversation. 246 00:13:06,720 --> 00:13:09,040 Speaker 3: You know, I think the world has really changed a 247 00:13:09,040 --> 00:13:11,000 Speaker 3: lot in terms of like what are the rules and 248 00:13:11,080 --> 00:13:15,959 Speaker 3: norms around touching up photos. Perhaps the the you know, 249 00:13:16,120 --> 00:13:19,040 Speaker 3: the rules for the wire services haven't changed, but just 250 00:13:19,160 --> 00:13:24,960 Speaker 3: you know, common practices around what people do personally. You know, 251 00:13:24,960 --> 00:13:27,000 Speaker 3: I'm willing to grant that has changed a lot in 252 00:13:27,040 --> 00:13:30,600 Speaker 3: the past couple of years with AI filters, but they 253 00:13:31,320 --> 00:13:34,640 Speaker 3: it really feels like there's a lot of room for 254 00:13:35,400 --> 00:13:38,640 Speaker 3: Kensington Palace, who receives I believe hundreds of millions of 255 00:13:38,640 --> 00:13:43,920 Speaker 3: dollars of like taxpayer support. Hopefully this lights of fire 256 00:13:43,960 --> 00:13:49,040 Speaker 3: for them to get up to speed on what's needed 257 00:13:49,440 --> 00:13:55,480 Speaker 3: to ideally play an active role in helping re establish 258 00:13:55,840 --> 00:13:59,440 Speaker 3: rules so that people can have trust in the information 259 00:13:59,520 --> 00:14:00,520 Speaker 3: that they see. 260 00:14:00,720 --> 00:14:04,640 Speaker 1: Well, that's a great segue to this glassdoor story, which 261 00:14:04,760 --> 00:14:06,679 Speaker 1: is a weird one. Like I've one of the reasons 262 00:14:06,720 --> 00:14:08,360 Speaker 1: I'm excited to talk to you about this because you 263 00:14:08,360 --> 00:14:13,920 Speaker 1: have a background in PII. What is it personal identifying information? 264 00:14:14,320 --> 00:14:14,800 Speaker 2: That's right. 265 00:14:15,800 --> 00:14:17,120 Speaker 4: So here's what's going on. 266 00:14:17,440 --> 00:14:21,480 Speaker 1: If you have ever talked crap about your job anonymously 267 00:14:21,600 --> 00:14:24,600 Speaker 1: on the website Glassdoor, which is an anonymous forum for 268 00:14:24,680 --> 00:14:28,080 Speaker 1: people to rate and review their workplaces, you might want 269 00:14:28,080 --> 00:14:30,680 Speaker 1: to think twice because we are seeing multiple reports that 270 00:14:30,760 --> 00:14:35,400 Speaker 1: Glassdoor collected and added people's names to their user profiles 271 00:14:35,600 --> 00:14:38,720 Speaker 1: without their consent. So tech Crunch reports that one user 272 00:14:38,720 --> 00:14:41,120 Speaker 1: who they're calling Monica, wrote in a post on her 273 00:14:41,120 --> 00:14:44,600 Speaker 1: personal blog that Glassdoor added her name in the city 274 00:14:44,600 --> 00:14:47,760 Speaker 1: where she lives to her Glassdoor profile following an email 275 00:14:47,800 --> 00:14:51,840 Speaker 1: exchange that she had with Glassdoor customer support, despite never 276 00:14:51,920 --> 00:14:56,280 Speaker 1: having consensually provided her name during the initial sign up process, 277 00:14:56,320 --> 00:14:59,280 Speaker 1: which would happen two years earlier. So basically, it kind 278 00:14:59,280 --> 00:15:02,920 Speaker 1: of sounds like if Glassdoor learns your name or learn 279 00:15:03,040 --> 00:15:06,160 Speaker 1: some kind of personal identifying information about you, even if 280 00:15:06,200 --> 00:15:07,800 Speaker 1: you do not provide it to them when you're signing 281 00:15:07,880 --> 00:15:10,480 Speaker 1: up for Glassdoor, they will add it to your profile 282 00:15:10,600 --> 00:15:11,640 Speaker 1: without your consent. 283 00:15:12,000 --> 00:15:13,840 Speaker 2: So how does she say that they got her. 284 00:15:13,840 --> 00:15:16,840 Speaker 1: Name from this email exchange that she had with Glassdoor 285 00:15:16,840 --> 00:15:19,880 Speaker 1: customer support that when she signed up for Glassdoor years earlier, 286 00:15:20,160 --> 00:15:22,479 Speaker 1: she didn't use her name she wanted to stay anonymous. 287 00:15:22,600 --> 00:15:24,680 Speaker 1: That she had a years later, she had a back 288 00:15:24,720 --> 00:15:28,040 Speaker 1: and forth email exchange with Glassdoor customer support. Her email 289 00:15:28,080 --> 00:15:31,280 Speaker 1: signature includes her name and location, and they just took 290 00:15:32,200 --> 00:15:34,720 Speaker 1: from that email her name, first and last name, and 291 00:15:34,760 --> 00:15:37,480 Speaker 1: location and added it to her profile, even though she 292 00:15:37,560 --> 00:15:40,040 Speaker 1: never consented to that and didn't want that, And to 293 00:15:40,080 --> 00:15:43,520 Speaker 1: be clear, like Glassdoor is a place where anonymity would 294 00:15:43,520 --> 00:15:46,840 Speaker 1: be really important, like if you weren't trashing your boss, 295 00:15:46,960 --> 00:15:49,880 Speaker 1: or you had something really important to say, it makes 296 00:15:49,920 --> 00:15:52,160 Speaker 1: sense why you wouldn't necessarily want to have your first 297 00:15:52,200 --> 00:15:54,680 Speaker 1: and last name attached to a what you thought was 298 00:15:54,720 --> 00:15:58,200 Speaker 1: an anonymous review of a workplace. And one of the 299 00:15:58,240 --> 00:15:59,840 Speaker 1: reasons why I'm having a little bit of trouble with 300 00:15:59,840 --> 00:16:02,920 Speaker 1: this story is that this really sounds like a change. 301 00:16:03,200 --> 00:16:04,960 Speaker 1: I know from being in the space for a while 302 00:16:05,000 --> 00:16:09,120 Speaker 1: that Glassdoor really used to thrive on user anonymity and 303 00:16:09,280 --> 00:16:13,520 Speaker 1: was like kind of an industry leader in protecting PII 304 00:16:13,680 --> 00:16:18,200 Speaker 1: personal identifying information. But what sounds like changed was a 305 00:16:18,240 --> 00:16:21,800 Speaker 1: corporate acquisition. So ours Technical reports that although it is 306 00:16:21,840 --> 00:16:24,920 Speaker 1: common for many users online to link services at sign 307 00:16:24,960 --> 00:16:27,080 Speaker 1: up to their Facebook or their Gmail account to verify 308 00:16:27,120 --> 00:16:31,440 Speaker 1: identity and streamline logins, for years, Glassdoor has notably allowed 309 00:16:31,520 --> 00:16:34,360 Speaker 1: users to sign up for its service anonymously. But in 310 00:16:34,400 --> 00:16:38,880 Speaker 1: twenty twenty one, Glassdoor acquired Fishbowl, a professional networking app 311 00:16:38,920 --> 00:16:42,280 Speaker 1: that integrated with Glassdoor. Last July, this acquisition meant that 312 00:16:42,360 --> 00:16:45,600 Speaker 1: every Glassdoor user was automatically signed up for a fish 313 00:16:45,640 --> 00:16:50,440 Speaker 1: Bowl account, and because Fishbowl requires users to verify their identities, 314 00:16:50,720 --> 00:16:54,800 Speaker 1: Glassdoor's terms of service changed to require all users be verified. 315 00:16:55,280 --> 00:16:57,520 Speaker 1: So I should be clear that this is not a 316 00:16:57,560 --> 00:17:02,120 Speaker 1: theoretical concern. Lawyers or companies who have been negatively reviewed 317 00:17:02,160 --> 00:17:05,960 Speaker 1: on Glassdoor have regularly tried to learn the identities of 318 00:17:06,000 --> 00:17:09,160 Speaker 1: the people leaving anonymous reviews on the site. The organization 319 00:17:09,240 --> 00:17:13,600 Speaker 1: the Electronic Frontier Foundation regularly defends Glassdoor users from being 320 00:17:13,720 --> 00:17:18,480 Speaker 1: unmasked by retaliating employers, particularly for employees who fear retaliation 321 00:17:18,560 --> 00:17:22,320 Speaker 1: for reviews. The lawyer for EFF said that Glassdoor users 322 00:17:22,359 --> 00:17:25,280 Speaker 1: could historically choose never to share their real names, and 323 00:17:25,359 --> 00:17:28,400 Speaker 1: the company is now storing names for all users makes 324 00:17:28,440 --> 00:17:30,480 Speaker 1: it much more likely that users could be linked to 325 00:17:30,520 --> 00:17:34,359 Speaker 1: their reviews should glassdoors data ever be subpoenaed or leaked. 326 00:17:34,880 --> 00:17:38,560 Speaker 3: Yeah, I think that's such a good point that it's 327 00:17:38,600 --> 00:17:42,720 Speaker 3: worth like reemphasizing it that. You know, it's one thing 328 00:17:42,880 --> 00:17:45,919 Speaker 3: for Glassdoor to have a privacy policy that says like 329 00:17:46,000 --> 00:17:49,440 Speaker 3: we will not release your name. That's great, that's good, 330 00:17:50,880 --> 00:17:55,160 Speaker 3: but it's if to truly have your name be protected. 331 00:17:55,720 --> 00:17:57,600 Speaker 3: It would be better if they never had it in 332 00:17:57,680 --> 00:18:01,000 Speaker 3: the first place. Right, Like we've seen this very concerned 333 00:18:01,080 --> 00:18:04,800 Speaker 3: playout with concerns about the Kids Online Safety Act, Right 334 00:18:04,840 --> 00:18:07,000 Speaker 3: that it's going to be collecting all of this information, 335 00:18:07,600 --> 00:18:11,240 Speaker 3: And even if that information is nominally protected, the fact 336 00:18:11,240 --> 00:18:15,200 Speaker 3: that it is stored somewhere puts it at risk. Right, 337 00:18:16,040 --> 00:18:19,520 Speaker 3: It's at risk of there being some kind of breach 338 00:18:19,680 --> 00:18:22,639 Speaker 3: that makes that information public despite the company not wanting 339 00:18:22,640 --> 00:18:25,560 Speaker 3: to be public. And it's also at risk if there's 340 00:18:25,640 --> 00:18:28,680 Speaker 3: like a change in ownership and a change of privacy policy, 341 00:18:29,359 --> 00:18:31,880 Speaker 3: which seems to be the situation here. 342 00:18:32,200 --> 00:18:34,240 Speaker 1: It's funny to hear you say this because just before 343 00:18:34,320 --> 00:18:37,040 Speaker 1: we were talking, you were annoyed and I was like, Oh, 344 00:18:37,080 --> 00:18:38,800 Speaker 1: what's going on. You were like, Oh, I'm trying to 345 00:18:39,680 --> 00:18:41,680 Speaker 1: track a package that I bought, but it wants me 346 00:18:41,760 --> 00:18:43,800 Speaker 1: to shine up sign up for Shop to do that, 347 00:18:43,840 --> 00:18:46,760 Speaker 1: and I have to give shop this shop app access 348 00:18:46,760 --> 00:18:47,600 Speaker 1: to all my emails. 349 00:18:47,600 --> 00:18:49,359 Speaker 4: And I was like, oh, I use Shop all the time. 350 00:18:49,520 --> 00:18:51,439 Speaker 1: And you were like, it doesn't concern you, Like you 351 00:18:51,440 --> 00:18:53,720 Speaker 1: don't give your information to anybody. 352 00:18:54,080 --> 00:18:57,440 Speaker 3: No, I really try to jealously protect my privacy. I 353 00:18:57,440 --> 00:19:02,000 Speaker 3: think we all have an obligation to you occasionally inconvenience 354 00:19:02,040 --> 00:19:06,240 Speaker 3: ourselves to jealously protect our privacy against the constant encroachment 355 00:19:06,280 --> 00:19:08,640 Speaker 3: of tech companies that want all of our data. And yeah, 356 00:19:08,680 --> 00:19:10,120 Speaker 3: I wasn't going to bring it up, but since you've 357 00:19:10,119 --> 00:19:12,159 Speaker 3: brought it up, I'll go down this tangent that I 358 00:19:12,240 --> 00:19:15,440 Speaker 3: was so annoyed at shop this morning. Generally I find 359 00:19:15,480 --> 00:19:18,439 Speaker 3: shop like fairly convenient to use. They do a good 360 00:19:18,520 --> 00:19:21,200 Speaker 3: job tracking packages when I'm buying from some kind of retailer. 361 00:19:21,359 --> 00:19:24,800 Speaker 3: But the limitation that drives me up the wall is 362 00:19:24,880 --> 00:19:28,320 Speaker 3: that so like earlier this week, I ordered two different 363 00:19:28,320 --> 00:19:32,520 Speaker 3: packages from two different retailers. They're both being delivered and 364 00:19:32,560 --> 00:19:35,800 Speaker 3: tracked by Shop Okay, I got a text message notification 365 00:19:35,880 --> 00:19:38,679 Speaker 3: that says like, Hey, your package is being delivered today. 366 00:19:38,840 --> 00:19:41,000 Speaker 3: I was curious which of my two items was it 367 00:19:41,080 --> 00:19:44,760 Speaker 3: going to be. I can't know that without using the 368 00:19:44,800 --> 00:19:46,840 Speaker 3: Shop app. There's no way to do it through the web. 369 00:19:47,119 --> 00:19:49,040 Speaker 3: There's no way to do it unless I install the 370 00:19:49,040 --> 00:19:52,119 Speaker 3: Shop app on my phone. I was surprised that I 371 00:19:52,119 --> 00:19:53,840 Speaker 3: didn't have the Shop app on my phone, so I 372 00:19:53,880 --> 00:19:56,040 Speaker 3: went to install it, and then remember that I had 373 00:19:56,080 --> 00:20:00,320 Speaker 3: been here before and the app will not install proper. Really, 374 00:20:00,480 --> 00:20:03,200 Speaker 3: unless I give it access to read all of my emails. 375 00:20:03,720 --> 00:20:06,840 Speaker 3: Why in the world do they need to read all 376 00:20:06,880 --> 00:20:10,240 Speaker 3: of my emails? Not okay, and I'm not going to 377 00:20:10,320 --> 00:20:12,600 Speaker 3: do it. And you know, I looked on Reddit and 378 00:20:12,600 --> 00:20:14,320 Speaker 3: people were complaining about this, and one of the top 379 00:20:14,359 --> 00:20:17,520 Speaker 3: comments was like, oh, just read their privacy policy. They're 380 00:20:17,600 --> 00:20:19,240 Speaker 3: you know, they're not going to do anything with your data. 381 00:20:19,280 --> 00:20:21,680 Speaker 3: They just have They just want to help you. That's 382 00:20:21,720 --> 00:20:25,200 Speaker 3: the stupidest take I've read all day, right, Like, oh, yeah, 383 00:20:25,240 --> 00:20:29,160 Speaker 3: I'm just going to trust this online retailer with you know, 384 00:20:29,640 --> 00:20:32,080 Speaker 3: all of my personal the contents of all of my 385 00:20:32,160 --> 00:20:33,119 Speaker 3: personal emails. 386 00:20:33,600 --> 00:20:37,040 Speaker 2: Uh, what could they possibly want with that? Right? 387 00:20:37,080 --> 00:20:41,399 Speaker 3: An online retailer that is into like trying to get 388 00:20:41,440 --> 00:20:45,160 Speaker 3: me to buy more things I couldn't imagine. Yeah, so 389 00:20:45,480 --> 00:20:49,119 Speaker 3: tangent ended. But I'm glad that I had the opportunity 390 00:20:49,160 --> 00:20:53,400 Speaker 3: to connect it to this story, because you know, once 391 00:20:53,440 --> 00:20:55,080 Speaker 3: your information is out there, it's out there. 392 00:21:00,920 --> 00:21:13,280 Speaker 7: Let's take a quick break that are back. 393 00:21:16,160 --> 00:21:18,919 Speaker 1: Well, So the thing that really worries me about the 394 00:21:19,240 --> 00:21:22,800 Speaker 1: glassdoor situation is that I think I have to imagine 395 00:21:22,800 --> 00:21:27,359 Speaker 1: that it's going to be a lot of traditionally marginalized 396 00:21:27,400 --> 00:21:30,439 Speaker 1: people who are going to suffer if this is just 397 00:21:30,480 --> 00:21:33,080 Speaker 1: how glass Door functions from now on, right, I can 398 00:21:33,160 --> 00:21:37,320 Speaker 1: imagine that it is women, trans folks, queer folks, people 399 00:21:37,320 --> 00:21:40,399 Speaker 1: of color who are raising the alarm about things like 400 00:21:40,560 --> 00:21:44,639 Speaker 1: racial or gender discrimination or like sexual harassment. And I 401 00:21:44,680 --> 00:21:48,720 Speaker 1: can't help but understanding this story against this creep toward 402 00:21:49,280 --> 00:21:52,720 Speaker 1: not being able to use forums that were previously available 403 00:21:52,760 --> 00:21:56,679 Speaker 1: to you to privately raise the alarms about concerns. You know, 404 00:21:57,240 --> 00:22:00,480 Speaker 1: especially given that we're seeing more and more are people 405 00:22:00,480 --> 00:22:04,160 Speaker 1: who do speak up about you know, wrongdoing facing things 406 00:22:04,160 --> 00:22:07,000 Speaker 1: like defamation lawsuits for doing so. It's you know, we're 407 00:22:07,000 --> 00:22:09,040 Speaker 1: not just talking about people who are complaining about their 408 00:22:09,040 --> 00:22:11,840 Speaker 1: boss's coffee breath or whatever. It is people who a 409 00:22:11,920 --> 00:22:16,119 Speaker 1: lot of times are raising serious alarms or serious concerns 410 00:22:16,480 --> 00:22:19,640 Speaker 1: in a forum that one might think would be anonymous 411 00:22:19,760 --> 00:22:21,919 Speaker 1: or private for them to do so safely. And so 412 00:22:22,400 --> 00:22:24,399 Speaker 1: I really can't help but see the story against that 413 00:22:24,480 --> 00:22:27,960 Speaker 1: backdrop of like, well, shoot, like, are people going to 414 00:22:28,000 --> 00:22:30,879 Speaker 1: be able to use glass door safely to report genuine, 415 00:22:31,160 --> 00:22:32,119 Speaker 1: real concerns? 416 00:22:32,200 --> 00:22:34,240 Speaker 2: That's my question, Yeah mine too. 417 00:22:34,680 --> 00:22:36,560 Speaker 3: This story like really surprised me and makes me a 418 00:22:36,600 --> 00:22:39,960 Speaker 3: little bit sad because I view Glassdoor as a very 419 00:22:40,040 --> 00:22:45,160 Speaker 3: valuable resource and historically a very good actor towards transferring 420 00:22:45,200 --> 00:22:49,719 Speaker 3: some power back to workers to somewhat reduce the massive 421 00:22:49,720 --> 00:22:54,480 Speaker 3: asymmeagery between workers and people who own companies and employ them. Historically, 422 00:22:54,560 --> 00:22:56,840 Speaker 3: they've been pretty good about this stuff, and so this 423 00:22:56,920 --> 00:23:02,520 Speaker 3: feels really out of character, really disappointing, and I think 424 00:23:04,080 --> 00:23:08,880 Speaker 3: it'll it just happened like pretty recently. I think this story, 425 00:23:09,240 --> 00:23:10,800 Speaker 3: we'll link it to it in the show notes. But 426 00:23:10,920 --> 00:23:15,360 Speaker 3: it was just published yesterday, and I thought, surely Glassdoor 427 00:23:16,000 --> 00:23:18,720 Speaker 3: is going to put out a statement saying that this 428 00:23:18,800 --> 00:23:21,879 Speaker 3: was a mistake. They haven't done that yet, And what 429 00:23:21,960 --> 00:23:26,000 Speaker 3: little they said in quotes to that Ours Technica Reporter 430 00:23:26,680 --> 00:23:32,080 Speaker 3: was pretty unsatisfying. They really seem to say that there 431 00:23:32,119 --> 00:23:37,040 Speaker 3: wasn't an issue here. But then there's also a bunch 432 00:23:37,119 --> 00:23:40,000 Speaker 3: of articles across the internet from other publications, and like 433 00:23:40,040 --> 00:23:46,399 Speaker 3: some big ones like NPR really amplifying this story and 434 00:23:46,400 --> 00:23:49,480 Speaker 3: this concern in ways that are very unflattering for glass Door. 435 00:23:49,600 --> 00:23:53,399 Speaker 3: So I'm maating hopeful that they will recognize what a 436 00:23:54,640 --> 00:23:58,480 Speaker 3: catastrophic misstep this is for their product that really depends 437 00:23:58,520 --> 00:24:02,960 Speaker 3: on anonymity, that they will take some corrective action to 438 00:24:03,000 --> 00:24:07,280 Speaker 3: reassure people that, like Glassdoor is still a place where 439 00:24:07,880 --> 00:24:11,280 Speaker 3: you can post anonymous reviews that will truly be anonymous, 440 00:24:11,280 --> 00:24:12,840 Speaker 3: because without that, like what even is it? 441 00:24:13,600 --> 00:24:18,840 Speaker 1: Well, speaking of missteps and hopeful corrections on them, let's 442 00:24:18,840 --> 00:24:22,720 Speaker 1: talk about the dating app Bumble. So y'all might remember 443 00:24:22,760 --> 00:24:24,800 Speaker 1: that a lot of tech companies were relocating from San 444 00:24:24,840 --> 00:24:28,440 Speaker 1: Francisco or like other places in California, to Texas. Specifically, 445 00:24:28,480 --> 00:24:31,159 Speaker 1: a lot of them are relocating to Austin. Well, that 446 00:24:31,320 --> 00:24:33,880 Speaker 1: is maybe not working out for a whole host of reasons, 447 00:24:33,920 --> 00:24:38,199 Speaker 1: but one of those reasons is Texas's restrictive abortion laws. So, 448 00:24:38,400 --> 00:24:41,560 Speaker 1: at a panel at south By Southwest, ironically held in Austin, 449 00:24:41,880 --> 00:24:44,520 Speaker 1: the council for the dating app Bumble that is sort 450 00:24:44,520 --> 00:24:48,080 Speaker 1: of supposed to be like a more woman focused dating app, 451 00:24:48,359 --> 00:24:50,840 Speaker 1: revealed that the company has lost a third of its 452 00:24:50,880 --> 00:24:54,680 Speaker 1: Texas workforce in the month since the state passed horribly 453 00:24:54,720 --> 00:24:58,840 Speaker 1: restrictive abortion laws known as SB eight sometimes called the 454 00:24:58,840 --> 00:25:02,120 Speaker 1: Texas Heartbeat Act, over a year ago. Because of these 455 00:25:02,520 --> 00:25:05,280 Speaker 1: very extremist laws that are completely out of step with 456 00:25:05,320 --> 00:25:08,200 Speaker 1: what the majority of the country wants, Bumble it no 457 00:25:08,280 --> 00:25:12,440 Speaker 1: longer requires people to work at their Austin headquarters. Bumble 458 00:25:12,480 --> 00:25:15,560 Speaker 1: actually became the first company to join an amarchist brief 459 00:25:15,600 --> 00:25:18,480 Speaker 1: in support of a lawsuit against the Texas abortion law 460 00:25:18,680 --> 00:25:21,200 Speaker 1: filed by the Center for Reproductive Rights. So I wanted 461 00:25:21,200 --> 00:25:23,160 Speaker 1: to talk about this for a couple of reasons. One 462 00:25:23,320 --> 00:25:25,880 Speaker 1: because I think it's really important to highlight the very 463 00:25:25,960 --> 00:25:28,800 Speaker 1: real risk that laws like this poth to people who 464 00:25:28,840 --> 00:25:32,200 Speaker 1: are pregnant or the people who support people who are pregnant. However, 465 00:25:32,480 --> 00:25:36,880 Speaker 1: this also highlights the business rambifications of extremist abortion laws 466 00:25:36,880 --> 00:25:39,560 Speaker 1: as well. The chief council for Bumble said, we were 467 00:25:39,560 --> 00:25:41,680 Speaker 1: looking at the lens and what we are putting forth 468 00:25:41,720 --> 00:25:44,080 Speaker 1: in the brief was talking about the increased cost to 469 00:25:44,200 --> 00:25:47,240 Speaker 1: us to attract and retain talent in Texas, the increased 470 00:25:47,280 --> 00:25:49,760 Speaker 1: costs for us to provide healthcare benefits to our employees. 471 00:25:49,920 --> 00:25:52,439 Speaker 1: We've found that because of our position, having been founded 472 00:25:52,440 --> 00:25:55,280 Speaker 1: with women at the forefront from the beginning and having 473 00:25:55,320 --> 00:25:57,600 Speaker 1: that voice and that legitimacy to begin with, we could 474 00:25:57,640 --> 00:26:00,720 Speaker 1: combine that with this very business centric art and help 475 00:26:00,760 --> 00:26:03,720 Speaker 1: support that case. This actually led to a bunch of 476 00:26:03,760 --> 00:26:07,080 Speaker 1: businesses from all over Texas signing on to this anarchist brief, 477 00:26:07,400 --> 00:26:10,680 Speaker 1: pointing out that these kind of extremists abortion laws really 478 00:26:10,680 --> 00:26:13,119 Speaker 1: do put their business in jeopardy by making it harder 479 00:26:13,160 --> 00:26:16,280 Speaker 1: to recruit top talent. Bumble specifically said that they had 480 00:26:16,400 --> 00:26:19,919 Speaker 1: started to offer like an enhanced health care coverage that 481 00:26:20,000 --> 00:26:23,280 Speaker 1: includes things like gender affirming care and IVF because those 482 00:26:23,359 --> 00:26:26,760 Speaker 1: kinds of healthcare have been threatened in the state. Although, 483 00:26:27,080 --> 00:26:29,240 Speaker 1: like part of me wonders, you know, it's good to 484 00:26:29,359 --> 00:26:34,560 Speaker 1: have that coverage included, but if that kind of healthcare 485 00:26:34,720 --> 00:26:37,680 Speaker 1: is illegal, you can't access it in Texas. It does 486 00:26:37,760 --> 00:26:39,000 Speaker 1: kind of seem like a moot point. 487 00:26:39,240 --> 00:26:40,240 Speaker 2: Yeah, that's a good point. 488 00:26:40,320 --> 00:26:42,800 Speaker 3: I yeah, I'm curious about that, but I don't know 489 00:26:42,800 --> 00:26:43,920 Speaker 3: anything about it. 490 00:26:44,320 --> 00:26:47,920 Speaker 1: Yeah, But overall, I mean, I do think that of 491 00:26:47,960 --> 00:26:51,600 Speaker 1: all the different avenuess to be talking about how restrictive 492 00:26:51,640 --> 00:26:55,480 Speaker 1: abortion laws impact people negatively, I do think I want 493 00:26:55,480 --> 00:26:58,600 Speaker 1: to hear more from the business community, because certainly it 494 00:26:58,680 --> 00:27:00,879 Speaker 1: is an economic issue, not just for the people who 495 00:27:00,920 --> 00:27:03,159 Speaker 1: need abortions, for the people who do any kind of 496 00:27:03,160 --> 00:27:06,760 Speaker 1: business all over the country, in addition to being a 497 00:27:06,800 --> 00:27:09,679 Speaker 1: reproductive health issue. And so I do want to see 498 00:27:09,840 --> 00:27:15,760 Speaker 1: more businesses, particularly businesses who are you know, are about, 499 00:27:15,840 --> 00:27:18,879 Speaker 1: you know, sticking up with women, sticking up with marginalized people. 500 00:27:19,280 --> 00:27:21,240 Speaker 1: I want I want to see more of these businesses 501 00:27:21,280 --> 00:27:24,000 Speaker 1: weighing in as we go into this more and more extremist, 502 00:27:24,080 --> 00:27:24,919 Speaker 1: restrictive climate. 503 00:27:25,800 --> 00:27:26,680 Speaker 2: Yeah, that would be great. 504 00:27:26,720 --> 00:27:31,119 Speaker 3: I mean, there's so many reasons why giving people reproductive 505 00:27:31,160 --> 00:27:34,760 Speaker 3: freedom and allowing them to make their own medical choices 506 00:27:35,240 --> 00:27:37,520 Speaker 3: is like a win win for society, right, like, not 507 00:27:37,600 --> 00:27:42,560 Speaker 3: just businesses, but also in terms of like the huge 508 00:27:43,600 --> 00:27:50,760 Speaker 3: costs of unwanted pregnancies right like to individuals, to healthcare systems, 509 00:27:51,440 --> 00:27:56,120 Speaker 3: UH to social services for years and years. 510 00:27:56,600 --> 00:27:56,800 Speaker 2: Well. 511 00:27:56,840 --> 00:27:59,800 Speaker 1: To that end, we have to talk about the growth 512 00:27:59,840 --> 00:28:04,439 Speaker 1: in misinformation swirling around social media around birth control. So 513 00:28:04,480 --> 00:28:07,439 Speaker 1: there was this new very detailed report by the Washington 514 00:28:07,480 --> 00:28:11,280 Speaker 1: Post about how social media platforms are awash in medically 515 00:28:11,320 --> 00:28:14,560 Speaker 1: inaccurate content about birth control and how it is leading 516 00:28:14,600 --> 00:28:18,919 Speaker 1: to real world consequences. You should definitely read the entire thing. 517 00:28:18,960 --> 00:28:20,840 Speaker 1: It is very detailed. We'll put it in the show notes. 518 00:28:20,840 --> 00:28:25,720 Speaker 1: But basically, you have these like health influencers I'm using 519 00:28:25,760 --> 00:28:30,400 Speaker 1: that in heavy scare quotes, and also right wing extremists 520 00:28:31,000 --> 00:28:35,040 Speaker 1: really trying to scare people into thinking that birth control 521 00:28:35,160 --> 00:28:35,840 Speaker 1: is dangerous. 522 00:28:35,880 --> 00:28:36,080 Speaker 2: Now. 523 00:28:36,240 --> 00:28:40,040 Speaker 1: Birth control, like any other medication, does have side effects. 524 00:28:40,280 --> 00:28:42,840 Speaker 1: In rare cases, it can cause things like blood clots. 525 00:28:42,920 --> 00:28:43,560 Speaker 4: That is real. 526 00:28:43,920 --> 00:28:47,440 Speaker 1: But these people are not trying to foster fact based 527 00:28:47,520 --> 00:28:51,440 Speaker 1: conversations about the real concerns around birth control. They're saying 528 00:28:51,640 --> 00:28:55,479 Speaker 1: nonsense like, oh, birth control, if you take it, it 529 00:28:55,520 --> 00:28:59,440 Speaker 1: will change your entire personality, it will change the kind 530 00:28:59,440 --> 00:29:02,080 Speaker 1: of people that you are sexually attracted to. Things that 531 00:29:02,120 --> 00:29:06,120 Speaker 1: are just fear mongering and nonsense. So you have these 532 00:29:06,160 --> 00:29:12,120 Speaker 1: health influencers suggesting natural forms of non hormonal birth control, 533 00:29:12,240 --> 00:29:15,160 Speaker 1: like only having sex on your period, which by the way, 534 00:29:16,040 --> 00:29:19,320 Speaker 1: does not work. And this is all particularly fraught given 535 00:29:19,360 --> 00:29:22,520 Speaker 1: how restrictive abortion access is in this country right now 536 00:29:22,720 --> 00:29:24,720 Speaker 1: and how criminalized it is. So you have people with 537 00:29:24,760 --> 00:29:29,360 Speaker 1: these big platforms essentially suggesting people stop using birth control 538 00:29:29,520 --> 00:29:33,560 Speaker 1: and instead only have sex on their periods, a like 539 00:29:33,600 --> 00:29:36,840 Speaker 1: a method that is known for unintended pregnancies in a 540 00:29:36,880 --> 00:29:39,480 Speaker 1: country where you cannot easily access abortion care if you 541 00:29:39,520 --> 00:29:42,240 Speaker 1: need it, or can be criminalized and sent to prison 542 00:29:42,320 --> 00:29:46,000 Speaker 1: for doing so. So this is really one of those 543 00:29:46,080 --> 00:29:49,480 Speaker 1: issues where you can see how tech issues and social 544 00:29:49,520 --> 00:29:54,560 Speaker 1: media platform issues are also reproductive rights issues and gender issues. 545 00:29:54,880 --> 00:29:57,840 Speaker 1: Doctors are saying that they're seeing an explosion of birth 546 00:29:57,880 --> 00:30:02,640 Speaker 1: control misinformation online target a very vulnerable demographic, people in 547 00:30:02,680 --> 00:30:05,400 Speaker 1: their teens and early twenties, who are more likely to 548 00:30:05,440 --> 00:30:08,440 Speaker 1: believe what they see on their phones because of algorithms 549 00:30:08,600 --> 00:30:12,040 Speaker 1: that feed them a stream of videos reinforcing messages often 550 00:30:12,160 --> 00:30:17,080 Speaker 1: divorced from scientific evidence. While doctors say hormonal contraception is 551 00:30:17,160 --> 00:30:20,719 Speaker 1: safe and effective, they worry about the profession's long standing 552 00:30:20,800 --> 00:30:24,280 Speaker 1: lack of transparency and some of the serious but rare 553 00:30:24,360 --> 00:30:27,600 Speaker 1: side effects that have left many patients seeking information from 554 00:30:27,680 --> 00:30:33,520 Speaker 1: unqualified online communities. So I have actually personally seen a 555 00:30:33,560 --> 00:30:36,320 Speaker 1: lot of this on social media. I'm sad to say 556 00:30:37,080 --> 00:30:42,240 Speaker 1: I just like most abortion advocates told us, anti choice 557 00:30:42,280 --> 00:30:44,560 Speaker 1: extremists and people who want to tell other people what 558 00:30:44,600 --> 00:30:46,560 Speaker 1: to do with their own bodies were never going to 559 00:30:46,600 --> 00:30:50,800 Speaker 1: stop at abortion. It was going to be birth control. Weirdly, 560 00:30:51,000 --> 00:30:53,720 Speaker 1: it was also tampons. Like for a while I was 561 00:30:53,760 --> 00:30:58,400 Speaker 1: seeing that bubble up, like right wing extremists basically suggesting 562 00:30:58,520 --> 00:31:04,440 Speaker 1: that having tampons in school bathrooms meant that teachers and 563 00:31:04,560 --> 00:31:11,320 Speaker 1: schools were like sexually abusing young people. Because like I 564 00:31:11,360 --> 00:31:13,840 Speaker 1: remember seeing this post that was someone being like, as 565 00:31:13,880 --> 00:31:17,000 Speaker 1: a father, it should be up to me whether or 566 00:31:17,080 --> 00:31:20,200 Speaker 1: not my daughter uses a tampon, and if a school 567 00:31:20,200 --> 00:31:22,240 Speaker 1: should have no say and whether or not my daughter 568 00:31:22,320 --> 00:31:24,120 Speaker 1: uses a tampon. He was like angry that the school 569 00:31:24,200 --> 00:31:27,800 Speaker 1: was providing tampons in the watchrooms. So anybody watching this 570 00:31:27,920 --> 00:31:30,360 Speaker 1: could have told you it was not going to stop 571 00:31:30,400 --> 00:31:32,720 Speaker 1: with abortion. It was going to be all of these 572 00:31:32,760 --> 00:31:37,800 Speaker 1: different things that pertain to reproductive health being demonized. So 573 00:31:38,320 --> 00:31:41,840 Speaker 1: this backlash to birth control really comes at a time 574 00:31:41,880 --> 00:31:47,080 Speaker 1: where we see this rampant misinformation about basic health combined 575 00:31:47,160 --> 00:31:52,640 Speaker 1: with really really poor digital literacy, and this wider political 576 00:31:52,640 --> 00:31:56,640 Speaker 1: debate around reproductive rights in which far right conservatives argue 577 00:31:56,640 --> 00:32:00,080 Speaker 1: that the broad acceptance of birth control has altered tradition 578 00:32:00,280 --> 00:32:02,800 Speaker 1: roles and weaken the family. And so if you're wondering, 579 00:32:02,880 --> 00:32:06,560 Speaker 1: like what does Ben Shapiro or Candace Owen care whether 580 00:32:06,680 --> 00:32:08,960 Speaker 1: or not I use birth control, that sort of their 581 00:32:09,160 --> 00:32:14,120 Speaker 1: ultimate point is that birth control is changing gender roles, 582 00:32:14,240 --> 00:32:18,000 Speaker 1: is changing how we think of traditional families, and therefore 583 00:32:18,120 --> 00:32:21,640 Speaker 1: it's bad. So in a Daily Wire video, Candace Owens 584 00:32:21,680 --> 00:32:26,960 Speaker 1: denounced birth controls and iud's as quote unnatural saying she 585 00:32:27,080 --> 00:32:29,479 Speaker 1: is a big advocate of getting women to realize this 586 00:32:29,520 --> 00:32:33,400 Speaker 1: stuff is not normal. She also says that her viewers 587 00:32:33,440 --> 00:32:37,440 Speaker 1: told her that IUDs can harm fertility, which medical experts 588 00:32:37,480 --> 00:32:41,200 Speaker 1: agree there is no evidence that birth control impacts long 589 00:32:41,280 --> 00:32:44,800 Speaker 1: term fertility, so that's just not true. Also, she's kind 590 00:32:44,800 --> 00:32:46,320 Speaker 1: of doing a little bit of an Elon musk thing. 591 00:32:46,360 --> 00:32:48,320 Speaker 1: I don't know if you watched any of that Elon 592 00:32:48,480 --> 00:32:52,320 Speaker 1: musk Uh interview with Don Lemon, where Don Lemon is like, 593 00:32:52,960 --> 00:32:56,160 Speaker 1: what evidence do you have that pilot that black pilots 594 00:32:56,200 --> 00:32:58,120 Speaker 1: are being held to lower standards? And he's like, well, 595 00:32:58,120 --> 00:33:01,440 Speaker 1: people on Twitter say that all the time, and it's like, no, 596 00:33:01,600 --> 00:33:03,840 Speaker 1: that doesn't make it true. I feel like Candice Owens, 597 00:33:03,840 --> 00:33:08,240 Speaker 1: It's like, oh, well, people are saying that iud's cause 598 00:33:08,320 --> 00:33:11,000 Speaker 1: long term fertility issues, and it's like, it doesn't that 599 00:33:11,040 --> 00:33:12,440 Speaker 1: does it? Just because you read it on the internet 600 00:33:12,440 --> 00:33:17,560 Speaker 1: doesn't make it true. Ben Shapiro, noted reproductive health expert 601 00:33:18,440 --> 00:33:24,040 Speaker 1: not really. He claims that birth control makes women attracted 602 00:33:24,160 --> 00:33:31,320 Speaker 1: to less manly, less masculine men, like these. 603 00:33:31,120 --> 00:33:32,600 Speaker 4: People are just so fucking stupid. 604 00:33:32,640 --> 00:33:35,479 Speaker 1: Like part of me is like like what even what 605 00:33:35,640 --> 00:33:38,400 Speaker 1: point is there even I don't. Obviously that's not true, 606 00:33:38,440 --> 00:33:39,880 Speaker 1: and I don't even I don't even have a little 607 00:33:39,960 --> 00:33:42,560 Speaker 1: joke to make. It's just such a ridiculous point that 608 00:33:43,080 --> 00:33:45,320 Speaker 1: I can't believe that somebody with a massive platform is 609 00:33:45,360 --> 00:33:48,520 Speaker 1: allowed to just go on TV, go on their platform 610 00:33:49,120 --> 00:33:53,920 Speaker 1: spread dangerous falsehoods that are not just untrue but also silly. 611 00:33:54,920 --> 00:33:58,760 Speaker 3: Many of these people who are like railing against birth control, 612 00:33:59,520 --> 00:34:02,440 Speaker 3: it's not like they have families of like twenty kids, right, 613 00:34:02,520 --> 00:34:06,720 Speaker 3: Like a lot of these political commentators, I have pretty 614 00:34:06,760 --> 00:34:10,479 Speaker 3: small families, and one has to imagine that that has 615 00:34:10,880 --> 00:34:13,560 Speaker 3: helped them in their professional careers to achieve the massive 616 00:34:13,560 --> 00:34:16,640 Speaker 3: platforms that they have. Are we supposed to believe that 617 00:34:16,800 --> 00:34:19,120 Speaker 3: none of them have used birth control? 618 00:34:19,400 --> 00:34:22,320 Speaker 1: Well, the thing with Candice Owen is she's a liar 619 00:34:22,880 --> 00:34:25,640 Speaker 1: and a grifter and a scammer baby like she does 620 00:34:25,719 --> 00:34:29,759 Speaker 1: not she'll say anything about anybody does not like this. 621 00:34:29,880 --> 00:34:30,839 Speaker 4: It's not work that to. 622 00:34:30,840 --> 00:34:34,440 Speaker 1: Try to hold her to any kind of a standard 623 00:34:34,480 --> 00:34:35,080 Speaker 1: that makes sense. 624 00:34:35,080 --> 00:34:36,200 Speaker 4: That it's not what she is about. 625 00:34:36,239 --> 00:34:38,279 Speaker 1: And I would say, like publicly, this is not what 626 00:34:38,280 --> 00:34:39,799 Speaker 1: she don't don't think I think that she would agree 627 00:34:39,840 --> 00:34:42,400 Speaker 1: that's not what she's about. Like she says things about 628 00:34:42,440 --> 00:34:45,239 Speaker 1: how women shouldn't work. How when she gets on a 629 00:34:45,239 --> 00:34:48,600 Speaker 1: plane and she sees a woman pilot, she thinks, oh, no, 630 00:34:48,680 --> 00:34:49,720 Speaker 1: we're going to die today. 631 00:34:50,520 --> 00:34:50,840 Speaker 4: Baby. 632 00:34:50,880 --> 00:34:53,160 Speaker 1: You have a job, you have a career. You are 633 00:34:53,200 --> 00:34:55,480 Speaker 1: a woman who works. You are a working mom. So 634 00:34:55,560 --> 00:34:57,520 Speaker 1: when you go on TV and you go on your 635 00:34:57,560 --> 00:35:01,040 Speaker 1: little podcast and you demonize working moms, look at a mirror, 636 00:35:01,040 --> 00:35:03,200 Speaker 1: because you are a mom with a job, You make 637 00:35:03,280 --> 00:35:05,600 Speaker 1: a ton of money, you go to work every day. 638 00:35:06,120 --> 00:35:07,080 Speaker 4: I don't want to hear it. 639 00:35:07,640 --> 00:35:11,480 Speaker 1: Obviously, if you are a person of reproductive age who 640 00:35:11,560 --> 00:35:14,360 Speaker 1: is building a career, you have probably used worth control 641 00:35:14,400 --> 00:35:17,520 Speaker 1: at some point to buttress that career and to have 642 00:35:17,680 --> 00:35:18,920 Speaker 1: control over your life. 643 00:35:19,000 --> 00:35:20,360 Speaker 4: And more power to you. 644 00:35:20,360 --> 00:35:22,760 Speaker 1: You should everybody should be able to make health residence 645 00:35:22,840 --> 00:35:26,719 Speaker 1: for themselves. However, Candice omens she just says whatever, like 646 00:35:27,000 --> 00:35:29,839 Speaker 1: and so when it comes to her, especially, I don't 647 00:35:29,840 --> 00:35:32,880 Speaker 1: think it's worth trying to make heads or tails of 648 00:35:32,920 --> 00:35:34,959 Speaker 1: what she's saying, because she'll say anything for a check. 649 00:35:35,239 --> 00:35:37,480 Speaker 4: She's like Mia off a Real Housewives of Potomac. She'll 650 00:35:37,480 --> 00:35:40,960 Speaker 4: say whatever. If you don't watch Potomac, Mia lies, That's 651 00:35:40,960 --> 00:35:41,400 Speaker 4: my point. 652 00:35:41,960 --> 00:35:46,080 Speaker 2: Mia, just catch it straight. Doesn't you have enough problems 653 00:35:46,160 --> 00:35:46,480 Speaker 2: right now? 654 00:35:47,000 --> 00:35:49,040 Speaker 1: She does, She does, I should lay off Mia and 655 00:35:49,080 --> 00:35:51,600 Speaker 1: also Mia, there's a whole other topic, but Mia has 656 00:35:51,680 --> 00:35:54,320 Speaker 1: kind of like become my fan favorite. 657 00:35:54,320 --> 00:35:55,439 Speaker 4: So even though she's a liar. 658 00:35:56,960 --> 00:36:00,640 Speaker 1: So Washington Post spoke to Brittany Martinez is the founder 659 00:36:00,680 --> 00:36:02,759 Speaker 1: of ev Magazine, which you can kind of think of 660 00:36:02,800 --> 00:36:05,799 Speaker 1: as like a right wing Cosmo, and she said in 661 00:36:05,800 --> 00:36:08,600 Speaker 1: an email to the Post that her outlet's work has 662 00:36:08,640 --> 00:36:13,040 Speaker 1: made questioning birth control mainstream, saying women have been silenced 663 00:36:13,040 --> 00:36:16,040 Speaker 1: and shamed by legacy media, the pharmaceutical industry, and then 664 00:36:16,080 --> 00:36:18,560 Speaker 1: many cases about their own doctors who have guessed lit 665 00:36:18,640 --> 00:36:19,239 Speaker 1: them about their. 666 00:36:19,160 --> 00:36:21,160 Speaker 4: Experiences with hermonal birth control. 667 00:36:21,600 --> 00:36:26,319 Speaker 1: So this comment, to me, really illustrates nicely how bad 668 00:36:26,360 --> 00:36:30,040 Speaker 1: actors like this work, right. They seize on the very 669 00:36:30,200 --> 00:36:35,120 Speaker 1: real and very legitimate anxieties or fears or baggage that 670 00:36:35,280 --> 00:36:38,680 Speaker 1: marginalized people have. She is right up until a point 671 00:36:38,880 --> 00:36:43,400 Speaker 1: that women really have been like silenced and ignored about 672 00:36:43,400 --> 00:36:47,920 Speaker 1: our medical issues by doctors and a pharmaceutical industry that 673 00:36:48,160 --> 00:36:52,280 Speaker 1: do not often seem to really care about our pain, 674 00:36:52,440 --> 00:36:54,120 Speaker 1: about our health, about our bodies. 675 00:36:54,320 --> 00:36:55,920 Speaker 4: So that part is true. 676 00:36:56,160 --> 00:36:59,360 Speaker 1: But where she fucks up is that she then cruelly 677 00:36:59,440 --> 00:37:04,760 Speaker 1: exploits these anxieties and these very real tensions and baggage 678 00:37:04,800 --> 00:37:08,640 Speaker 1: that we have to push her own dangerous agenda. And 679 00:37:08,640 --> 00:37:10,759 Speaker 1: that is something we see time and time again with 680 00:37:10,800 --> 00:37:14,040 Speaker 1: bad actors and extremists like this. Something else this report 681 00:37:14,080 --> 00:37:17,760 Speaker 1: points out is how these bad actors are exploiting racialized 682 00:37:17,920 --> 00:37:21,640 Speaker 1: and gendered fears and anxieties around medical information to further 683 00:37:21,800 --> 00:37:25,840 Speaker 1: push harmful and accurate information about birth control. The report reads, 684 00:37:26,280 --> 00:37:29,120 Speaker 1: women of color, whose communities have historically been exploited by 685 00:37:29,120 --> 00:37:33,640 Speaker 1: the medical establishment may be particularly vulnerable to misinformation given 686 00:37:33,680 --> 00:37:37,120 Speaker 1: the long history of mistrust around birth control in this country. 687 00:37:37,320 --> 00:37:40,040 Speaker 1: That's from Kimberly Baker, an assistant professor at ut Health 688 00:37:40,040 --> 00:37:43,680 Speaker 1: Houston School of Public Health. For sterilization of tens of 689 00:37:43,680 --> 00:37:47,319 Speaker 1: thousands of primarily black, Latina and Indigenous women happened under 690 00:37:47,360 --> 00:37:50,360 Speaker 1: the US government programs in the twentieth century. That's another 691 00:37:50,520 --> 00:37:53,839 Speaker 1: huge reason why these negative videos around birth control get 692 00:37:53,840 --> 00:37:57,040 Speaker 1: a lot of fanfare, because there's already stigma attached to it, 693 00:37:57,320 --> 00:38:00,000 Speaker 1: and that's deeped in our history. And so you really 694 00:38:00,239 --> 00:38:06,520 Speaker 1: do see these bad actors cruelly and callously picking at 695 00:38:06,560 --> 00:38:10,000 Speaker 1: and exploiting these very real traumas that our communities have 696 00:38:10,160 --> 00:38:14,200 Speaker 1: been carrying around for decades for real reasons, and exploiting it. 697 00:38:14,360 --> 00:38:18,760 Speaker 1: And sometimes they're exploiting people and their anxieties and baggage 698 00:38:18,800 --> 00:38:20,160 Speaker 1: and trauma for money. 699 00:38:20,239 --> 00:38:20,880 Speaker 4: Like a lot of. 700 00:38:20,880 --> 00:38:24,960 Speaker 1: These people when they're like like health influencers in quotes, 701 00:38:25,360 --> 00:38:28,600 Speaker 1: they'll be talking about how birth control is unnatural or dangerous, 702 00:38:28,840 --> 00:38:30,960 Speaker 1: and then you go to their page and they're selling 703 00:38:31,040 --> 00:38:35,560 Speaker 1: some kind of a hormonal supplement or hormonal coaching something 704 00:38:35,560 --> 00:38:39,640 Speaker 1: that is just like BS And so they're scaring people 705 00:38:40,160 --> 00:38:42,759 Speaker 1: in order to scam them, and they have a financial 706 00:38:42,840 --> 00:38:47,120 Speaker 1: incentive to do so. And honestly, doctors are already seeing 707 00:38:47,200 --> 00:38:50,239 Speaker 1: the irl impact. The reports talks about how doctors are 708 00:38:50,239 --> 00:38:53,080 Speaker 1: seeing more and more people come into their offices asking 709 00:38:53,239 --> 00:38:56,520 Speaker 1: about something related to birth control that they saw on TikTok. 710 00:38:57,160 --> 00:39:00,560 Speaker 1: One doctor says, people are putting themselves out there experts 711 00:39:00,560 --> 00:39:03,200 Speaker 1: on birth control and speaking to things that the science 712 00:39:03,239 --> 00:39:06,560 Speaker 1: does not bear out. I'm seeing the direct failures of 713 00:39:06,600 --> 00:39:09,680 Speaker 1: this misinformation. He says that women frequently come into his 714 00:39:09,719 --> 00:39:12,600 Speaker 1: office for abortions after believing what they saw on social 715 00:39:12,680 --> 00:39:15,759 Speaker 1: media about the dangers of hormonal birth control and the 716 00:39:15,800 --> 00:39:19,520 Speaker 1: effectiveness of tracking periods to prevent pregnancy. Many of these 717 00:39:19,560 --> 00:39:22,440 Speaker 1: patients have traveled from states that have completely or partially 718 00:39:22,520 --> 00:39:26,239 Speaker 1: banned abortions, such as Texas, Idaho, Georgia, North Carolina, and 719 00:39:26,280 --> 00:39:29,920 Speaker 1: South Carolina. And we really can't even have this conversation 720 00:39:30,280 --> 00:39:34,520 Speaker 1: without talking about how it is supported by algorithms, because 721 00:39:34,840 --> 00:39:38,040 Speaker 1: algorithms really, I mean, if you've ever scrolled on TikTok, 722 00:39:38,040 --> 00:39:40,560 Speaker 1: you probably know what I'm talking about. It really supports 723 00:39:40,560 --> 00:39:45,880 Speaker 1: people to be surfaced information that is similar or somatically 724 00:39:45,880 --> 00:39:48,480 Speaker 1: similar to what they just watched, right, And so rather 725 00:39:48,520 --> 00:39:50,759 Speaker 1: than giving them some sort of an alternate viewpoint, it 726 00:39:50,920 --> 00:39:54,440 Speaker 1: just completely builds up this rabbit hole and buries them 727 00:39:54,440 --> 00:39:57,440 Speaker 1: in it. A twenty year old college student who went 728 00:39:57,480 --> 00:40:01,040 Speaker 1: down an algorithmically supported rabbit hole on birth control misinformation 729 00:40:01,320 --> 00:40:03,840 Speaker 1: said it created the sense of fear that if I 730 00:40:03,880 --> 00:40:06,120 Speaker 1: ever needed to be put on birth control, I would 731 00:40:06,120 --> 00:40:08,879 Speaker 1: become a completely different person. I would gain a bunch 732 00:40:08,920 --> 00:40:11,719 Speaker 1: of weight, and my life would be over. I was like, well, 733 00:40:11,760 --> 00:40:14,759 Speaker 1: obviously this is true. This applies to everybody because it's 734 00:40:14,840 --> 00:40:17,880 Speaker 1: the only thing I'm seeing. So I do think that 735 00:40:17,960 --> 00:40:21,279 Speaker 1: platforms bear some responsibility here to make sure that the 736 00:40:21,320 --> 00:40:24,239 Speaker 1: people that use their platforms are not just being sent 737 00:40:24,320 --> 00:40:27,480 Speaker 1: down more and more extremist, dangerous rabbit holes when it 738 00:40:27,520 --> 00:40:30,240 Speaker 1: comes to something as important as their reproductive health. 739 00:40:30,320 --> 00:40:31,800 Speaker 2: Yeah, sure would be nice. 740 00:40:32,320 --> 00:40:35,640 Speaker 1: And I do think that, like this is related to 741 00:40:35,680 --> 00:40:39,480 Speaker 1: something I feel I've seen more and more where people 742 00:40:41,680 --> 00:40:45,320 Speaker 1: I just feel like there is a subset of people 743 00:40:45,560 --> 00:40:49,600 Speaker 1: who will believe absolutely anything they see on TikTok. 744 00:40:50,400 --> 00:40:50,720 Speaker 2: Yeah. 745 00:40:50,840 --> 00:40:52,839 Speaker 3: I think that's probably right, and I don't think it's 746 00:40:52,880 --> 00:40:55,279 Speaker 3: limited to TikTok. We've talked about this a lot, but 747 00:40:56,200 --> 00:40:59,000 Speaker 3: and definitely digital literacy is a big thing. But I think, 748 00:40:59,400 --> 00:41:01,920 Speaker 3: you know, we should be you really careful not to 749 00:41:01,960 --> 00:41:07,800 Speaker 3: put it on the people who are you know, digitally 750 00:41:07,840 --> 00:41:10,680 Speaker 3: illiterate and being swayed by this information and keep the 751 00:41:10,719 --> 00:41:13,480 Speaker 3: focus on the people who are pushing it. Like so, I, 752 00:41:15,000 --> 00:41:16,480 Speaker 3: you know, saw that we were going to talk about 753 00:41:16,480 --> 00:41:19,160 Speaker 3: this today, and I had this big question, like who 754 00:41:19,239 --> 00:41:22,200 Speaker 3: are these people and what is their motivation for pushing 755 00:41:22,280 --> 00:41:24,879 Speaker 3: this misinformation? Right? We talked about misinformation on this show 756 00:41:25,360 --> 00:41:29,760 Speaker 3: a lot, you know, like political misinformation or disingenuous accounts 757 00:41:29,760 --> 00:41:33,880 Speaker 3: that are trying to create racial disharmonies. To like destabilize things. 758 00:41:34,320 --> 00:41:38,280 Speaker 3: But this one really like got me. It's like, what 759 00:41:38,400 --> 00:41:43,279 Speaker 3: sort of monster would push anti birth control information? 760 00:41:43,480 --> 00:41:44,720 Speaker 2: And why? 761 00:41:45,120 --> 00:41:47,480 Speaker 3: And you know, I guess you provided a couple of 762 00:41:47,680 --> 00:41:53,160 Speaker 3: pretty good explanations here. The just like the engagement farming 763 00:41:53,280 --> 00:41:54,000 Speaker 3: of it, it gets. 764 00:41:54,360 --> 00:41:59,040 Speaker 1: It gets engagement and people who have a financial investment 765 00:41:59,080 --> 00:42:02,880 Speaker 1: in it. So if I'm selling hormonal supplements and I'm like, oh, 766 00:42:02,880 --> 00:42:05,160 Speaker 1: hormonal birth control is bad. If you hate it, you've 767 00:42:05,200 --> 00:42:09,040 Speaker 1: ruined your your hormonal system. But if you buy my pills, 768 00:42:09,760 --> 00:42:11,000 Speaker 1: we can get this back on track. 769 00:42:11,160 --> 00:42:13,880 Speaker 2: Money please, Yeah. 770 00:42:13,920 --> 00:42:17,120 Speaker 3: And then also the it connects to stuff we talked 771 00:42:17,120 --> 00:42:21,240 Speaker 3: about before. It feels like there's a big effort, largely 772 00:42:21,239 --> 00:42:23,200 Speaker 3: on the right, but not limited to the right, to 773 00:42:23,400 --> 00:42:29,680 Speaker 3: just discredit the medical and scientific community in general and 774 00:42:29,880 --> 00:42:34,200 Speaker 3: just destroy the idea of expertise and promote the idea 775 00:42:34,280 --> 00:42:37,400 Speaker 3: that every influencer can be their own expert and do 776 00:42:37,480 --> 00:42:38,240 Speaker 3: their own research. 777 00:42:44,920 --> 00:42:57,160 Speaker 5: More after a quick break, let's get right back into it. 778 00:43:00,760 --> 00:43:03,520 Speaker 1: Well, the piece really does a good job of speaking 779 00:43:03,560 --> 00:43:07,680 Speaker 1: to doctors who are looking inward at the medical profession 780 00:43:07,920 --> 00:43:12,840 Speaker 1: and wondering like, have we created this problem by failing 781 00:43:12,880 --> 00:43:16,560 Speaker 1: to have transparency and failing to make patients, many of 782 00:43:16,560 --> 00:43:20,560 Speaker 1: whom are women, feel like we are adequately listening to 783 00:43:20,600 --> 00:43:23,799 Speaker 1: them and answering their questions are And I would argue that, 784 00:43:23,880 --> 00:43:26,760 Speaker 1: like typically speaking, when you have some sort of dynamic 785 00:43:26,840 --> 00:43:30,920 Speaker 1: like this where bad actors and bs influencers and grifters 786 00:43:30,960 --> 00:43:32,640 Speaker 1: are able to really take up a lot of space, 787 00:43:32,960 --> 00:43:37,120 Speaker 1: there is some like institutional failing that has allowed those 788 00:43:37,200 --> 00:43:39,759 Speaker 1: people to take up so much space in a conversation. 789 00:43:40,239 --> 00:43:43,600 Speaker 1: And I think that's really what we're seeing, Like people 790 00:43:44,239 --> 00:43:48,719 Speaker 1: women when it comes to reproductive health, women have historically 791 00:43:48,840 --> 00:43:51,920 Speaker 1: not really been listened to. There's an entire legacy and 792 00:43:52,120 --> 00:43:55,799 Speaker 1: history of the medical community not listening to and not 793 00:43:55,920 --> 00:44:00,239 Speaker 1: thinking seriously the pain and issues of women. And you know, 794 00:44:00,280 --> 00:44:04,080 Speaker 1: we also live in a world where any healthcare that 795 00:44:04,280 --> 00:44:08,239 Speaker 1: is about people who are not cisgendered men. So when 796 00:44:08,280 --> 00:44:11,440 Speaker 1: it comes to queer people or trans people that I 797 00:44:11,440 --> 00:44:13,840 Speaker 1: think that that is like inherently othered. And so I 798 00:44:13,840 --> 00:44:16,399 Speaker 1: think that these doctors are not wrong to be like, well, 799 00:44:16,440 --> 00:44:19,879 Speaker 1: in what ways have we really failed the people who 800 00:44:20,239 --> 00:44:23,440 Speaker 1: come to us looking for care that allows for grifters 801 00:44:23,480 --> 00:44:26,239 Speaker 1: and extremists to take over the conversation and for that 802 00:44:26,320 --> 00:44:29,400 Speaker 1: to feel like something that is actually accurate. But I 803 00:44:29,440 --> 00:44:31,840 Speaker 1: do think that you're right that there is this larger 804 00:44:32,600 --> 00:44:37,520 Speaker 1: demonization of expertise and medical professionals and people who know 805 00:44:37,560 --> 00:44:41,040 Speaker 1: what they're talking about. That report talked to this, I guess, 806 00:44:41,040 --> 00:44:43,960 Speaker 1: like some sort of hormonal influencer who had her content 807 00:44:44,080 --> 00:44:47,000 Speaker 1: taken down from TikTok for being medical misinformation, and she 808 00:44:47,160 --> 00:44:49,719 Speaker 1: was like, oh, well, I actually think it's fine to 809 00:44:49,760 --> 00:44:51,840 Speaker 1: take it down because I think that people should be 810 00:44:51,880 --> 00:44:55,719 Speaker 1: doing their own research. And it's like, well, yes, but 811 00:44:56,480 --> 00:44:59,799 Speaker 1: if you're not a doctor, doing your own research into 812 00:45:00,760 --> 00:45:04,600 Speaker 1: medical information is kind of a tall order, right, Like, 813 00:45:04,640 --> 00:45:06,440 Speaker 1: I'm not a doctor. I would not pretend to be 814 00:45:06,520 --> 00:45:09,880 Speaker 1: able to make heads or tails of medical research. And 815 00:45:09,920 --> 00:45:13,080 Speaker 1: so it's really cunning how they put it back on 816 00:45:13,239 --> 00:45:19,280 Speaker 1: people to really further eroad trust in the medical profession 817 00:45:19,320 --> 00:45:23,600 Speaker 1: more generally. And I think you're right that we should 818 00:45:23,600 --> 00:45:28,880 Speaker 1: not be demonizing people who fall for this, because I 819 00:45:28,920 --> 00:45:31,880 Speaker 1: think a lot of people when you're in a place 820 00:45:31,920 --> 00:45:34,160 Speaker 1: where you've just been consuming a lot of information that 821 00:45:34,239 --> 00:45:36,680 Speaker 1: is really scary, and you're already in a mental or 822 00:45:36,719 --> 00:45:40,040 Speaker 1: emotional place where you're not feeling heard, not feeling supported, 823 00:45:40,400 --> 00:45:45,160 Speaker 1: you're looking for alternative avenues for information out there. I 824 00:45:45,200 --> 00:45:47,640 Speaker 1: think that it can put anybody in a place where 825 00:45:47,640 --> 00:45:51,160 Speaker 1: they're more receptive to these kinds of grifters and extremists, right, 826 00:45:51,360 --> 00:45:56,200 Speaker 1: And it is being buttressed by an incredibly powerful algorithm 827 00:45:56,520 --> 00:46:01,160 Speaker 1: that is like pushing you toward that conclusion. Right, So 828 00:46:01,200 --> 00:46:04,560 Speaker 1: it's you you're not it's it's not just you're stupid 829 00:46:04,680 --> 00:46:08,080 Speaker 1: and gullible. There are forces that are pushing you toward it, 830 00:46:08,120 --> 00:46:10,359 Speaker 1: and we should be honest about that. But like, I mean, 831 00:46:10,920 --> 00:46:13,960 Speaker 1: I don't like to talk about my own health and 832 00:46:14,040 --> 00:46:16,759 Speaker 1: body stuff on the podcast because I just think it's 833 00:46:17,200 --> 00:46:20,520 Speaker 1: your people's health is so specific and unique to them 834 00:46:20,560 --> 00:46:22,680 Speaker 1: and so personal to them. But like as some of 835 00:46:22,760 --> 00:46:24,680 Speaker 1: y'all who know me in real life, no, like I 836 00:46:24,719 --> 00:46:28,120 Speaker 1: had a pretty tough go of it with COVID, and 837 00:46:28,360 --> 00:46:31,160 Speaker 1: I got COVID multiple times, and I got it one 838 00:46:31,239 --> 00:46:35,040 Speaker 1: time that was so bad that it really like it 839 00:46:35,160 --> 00:46:37,040 Speaker 1: just really like knock the wind out of my sales 840 00:46:37,080 --> 00:46:39,439 Speaker 1: for a very long time, right, And so like long, 841 00:46:39,440 --> 00:46:41,160 Speaker 1: COVID is one of those things that I do think 842 00:46:41,160 --> 00:46:45,719 Speaker 1: that like I've gleaned that it's not the kind of 843 00:46:45,800 --> 00:46:48,879 Speaker 1: thing that people want to hear about and so it's 844 00:46:48,880 --> 00:46:51,040 Speaker 1: this kind of thing that you're like often dealing with 845 00:46:51,440 --> 00:46:53,719 Speaker 1: in a way that feels very isolated, because it's like, 846 00:46:54,360 --> 00:46:58,160 Speaker 1: you know, you're dealing with the symptoms, and you're dealing 847 00:46:58,200 --> 00:47:00,560 Speaker 1: with the fatigue, and you're dealing with the brain. But 848 00:47:00,600 --> 00:47:02,440 Speaker 1: then you've gleaned that people don't really want to hear 849 00:47:02,440 --> 00:47:03,960 Speaker 1: you complain about it, so then you're dealing with all 850 00:47:04,000 --> 00:47:04,759 Speaker 1: of that alone. 851 00:47:04,880 --> 00:47:05,840 Speaker 4: And when you're dealing. 852 00:47:05,640 --> 00:47:09,080 Speaker 1: With stuff alone, it pushes you to the Internet, which 853 00:47:09,120 --> 00:47:13,160 Speaker 1: then algorithmically supports you to fall down rabbit holes that 854 00:47:13,200 --> 00:47:16,480 Speaker 1: are not necessarily good for you and also happen to 855 00:47:16,520 --> 00:47:19,160 Speaker 1: be inclusive of people who are trying to make a 856 00:47:19,239 --> 00:47:22,080 Speaker 1: quick buck off of your issue, off of your isolation, 857 00:47:22,520 --> 00:47:25,799 Speaker 1: off of your anxieties. And so I know, I am 858 00:47:25,840 --> 00:47:28,520 Speaker 1: somebody who talks about this for a living, and even 859 00:47:28,640 --> 00:47:33,880 Speaker 1: I got pretty wrapped up in taking advice like wellness 860 00:47:33,880 --> 00:47:36,799 Speaker 1: and health advice from Randos on TikTok right, And so 861 00:47:36,840 --> 00:47:40,200 Speaker 1: I started like, because I felt so crummy, and because 862 00:47:40,239 --> 00:47:43,759 Speaker 1: I was so isolated in feeling crummy, it really did 863 00:47:43,840 --> 00:47:46,839 Speaker 1: lead me to like using social media to figure out 864 00:47:46,840 --> 00:47:48,480 Speaker 1: what was going on and figure out how I might 865 00:47:48,520 --> 00:47:51,600 Speaker 1: be better. So I started taking supplements that like randos 866 00:47:51,640 --> 00:47:55,880 Speaker 1: are suggesting you take on social media in a kind 867 00:47:55,920 --> 00:47:58,720 Speaker 1: of a low dark moment. Then I'm like, wait a minute, 868 00:47:58,840 --> 00:48:01,040 Speaker 1: maybe it's time for a blood to I go to 869 00:48:01,080 --> 00:48:03,439 Speaker 1: a doctor, I get a blood test. The doctor is like, yeah, 870 00:48:03,480 --> 00:48:06,399 Speaker 1: whatever supplements you're on, stop taking them. They're not They're 871 00:48:06,480 --> 00:48:08,719 Speaker 1: like not doing anything for you, and they're actually making 872 00:48:08,760 --> 00:48:12,960 Speaker 1: your health worse. And so I don't feel good sharing that. 873 00:48:13,000 --> 00:48:14,720 Speaker 1: But I look back on that and I'm like, yeah, 874 00:48:15,400 --> 00:48:18,080 Speaker 1: I was at a low moment when I didn't feel 875 00:48:18,120 --> 00:48:19,960 Speaker 1: like I had a lot of support and I didn't 876 00:48:19,960 --> 00:48:23,600 Speaker 1: feel like I could really talk about what I was experiencing, 877 00:48:23,800 --> 00:48:27,399 Speaker 1: but was desperate for a quick fix. And it got 878 00:48:27,440 --> 00:48:30,320 Speaker 1: me right. The algorithms are powerful. The algorithms get you. 879 00:48:30,320 --> 00:48:32,279 Speaker 1: You see somebody on TikTok who looks like they have 880 00:48:32,320 --> 00:48:35,319 Speaker 1: their shit together, who like is presenting a kind of 881 00:48:35,600 --> 00:48:37,799 Speaker 1: a life or a version of yourself that you are 882 00:48:38,080 --> 00:48:40,000 Speaker 1: that you see something in and you're like, oh, I 883 00:48:40,000 --> 00:48:42,080 Speaker 1: want that to be me. Next thing, you know, you're 884 00:48:42,400 --> 00:48:44,759 Speaker 1: buying supplements and don't even fucking regulate it, And so 885 00:48:45,400 --> 00:48:48,839 Speaker 1: I just think that like nobody should be getting take 886 00:48:48,840 --> 00:48:50,319 Speaker 1: it from me. Somebody who had to see a real 887 00:48:50,360 --> 00:48:53,080 Speaker 1: doctor to straighten that out. Don't get your health or 888 00:48:53,120 --> 00:48:56,319 Speaker 1: medical advice from some rando on TikTok who might not 889 00:48:56,440 --> 00:49:00,200 Speaker 1: even have any actual qualifications or also might have an 890 00:49:00,200 --> 00:49:03,520 Speaker 1: agenda that is actually harmful to you. These people are scammers, 891 00:49:03,560 --> 00:49:06,600 Speaker 1: They are grifters. They are making money from your isolation, 892 00:49:06,719 --> 00:49:09,799 Speaker 1: from your fear, from your concern, from your worry, from 893 00:49:09,840 --> 00:49:12,839 Speaker 1: your late nights. The most radical thing we can do 894 00:49:13,000 --> 00:49:16,320 Speaker 1: is break that system that tells us that these people 895 00:49:16,680 --> 00:49:19,080 Speaker 1: know what we need. I know it is tough, I 896 00:49:19,160 --> 00:49:20,840 Speaker 1: know that we are silenced. I know that we're not 897 00:49:20,880 --> 00:49:24,480 Speaker 1: listened to. But like forking your money over to a 898 00:49:24,520 --> 00:49:28,640 Speaker 1: grifter is never the answer. And so back to what's 899 00:49:28,680 --> 00:49:32,600 Speaker 1: happening with these birth control grifters. None of this stuff 900 00:49:32,680 --> 00:49:35,600 Speaker 1: is happening in a vacuum because we are already seeing 901 00:49:35,760 --> 00:49:40,399 Speaker 1: legislation trying to limit access to birth control. These influencers, 902 00:49:40,560 --> 00:49:44,719 Speaker 1: their messaging really helps drive this legislation limiting access to 903 00:49:44,760 --> 00:49:48,960 Speaker 1: hormonal birth control. This is from Amanda Stevenson, a sociologist, demographer, 904 00:49:48,960 --> 00:49:51,440 Speaker 1: and assistant professor at the University of Colorado at Boulder 905 00:49:51,719 --> 00:49:54,719 Speaker 1: who is studying how anti abortion activists and lawmakers are 906 00:49:54,719 --> 00:49:58,960 Speaker 1: trying to restrict birth control already. Republican legislators in Missouri 907 00:49:59,000 --> 00:50:02,840 Speaker 1: have tried all yet unsuccessfully, to stop the state's medicaid 908 00:50:02,840 --> 00:50:07,080 Speaker 1: program from covering iud's and emergency contraceptives. A panel of 909 00:50:07,120 --> 00:50:09,200 Speaker 1: the US Court of Appeals for the Fifth Circuit this 910 00:50:09,280 --> 00:50:12,960 Speaker 1: month upheld a Texas law requiring minders to obtain parental 911 00:50:12,960 --> 00:50:16,480 Speaker 1: permission before accessing birth control. So all of this is 912 00:50:16,520 --> 00:50:20,920 Speaker 1: sort of like working together, right, these grifters and influencers 913 00:50:21,440 --> 00:50:24,920 Speaker 1: using social media to drum up fear about birth control 914 00:50:24,960 --> 00:50:28,319 Speaker 1: and anxiety about birth control as harmful, and then right 915 00:50:28,360 --> 00:50:32,799 Speaker 1: wing lawmakers passing legislation to then limit and legislate birth 916 00:50:32,840 --> 00:50:33,880 Speaker 1: control more harshly. 917 00:50:34,560 --> 00:50:36,239 Speaker 4: It's a real clusterfuck. 918 00:50:38,200 --> 00:50:42,719 Speaker 1: So, speaking of clusterfucks, Mike, do you ever hear one 919 00:50:42,760 --> 00:50:45,799 Speaker 1: of those stories that it sounds like was made in 920 00:50:45,880 --> 00:50:47,239 Speaker 1: a lab to bother you? 921 00:50:47,400 --> 00:50:48,080 Speaker 4: Specifically? 922 00:50:48,600 --> 00:50:50,319 Speaker 2: Yeah, it happens all the time, every day. 923 00:50:50,719 --> 00:50:52,279 Speaker 4: So this is one of those stories for me. 924 00:50:52,920 --> 00:50:56,400 Speaker 1: Sixty years after her death, we have the invention of 925 00:50:56,480 --> 00:51:02,720 Speaker 1: Digital Maryland, an AI facilitated Lyn Monroe chatbot. I guess 926 00:51:03,120 --> 00:51:07,560 Speaker 1: that answers questions in Maryland's style and voice. Here's Digital 927 00:51:07,600 --> 00:51:09,239 Speaker 1: Maryland in her own words. 928 00:51:09,920 --> 00:51:14,520 Speaker 4: Hi, darlings, I'm Digital Maryland. Come visit me at Soul Machines. 929 00:51:14,920 --> 00:51:16,040 Speaker 7: It'll be such fun. 930 00:51:16,760 --> 00:51:19,879 Speaker 1: I hate it. I hate everything about it. I hate 931 00:51:19,920 --> 00:51:21,920 Speaker 1: the way she speaks, I hate the whole idea. 932 00:51:22,320 --> 00:51:24,439 Speaker 4: Hate it. Thumbs down zero out of ten. 933 00:51:24,960 --> 00:51:27,640 Speaker 1: So Digital Maryland was revealed at south By Southwest and 934 00:51:27,719 --> 00:51:30,840 Speaker 1: is the brainchild of Soul Machines, which is a company 935 00:51:30,840 --> 00:51:34,600 Speaker 1: that creates what it calls biological AI powered digital people 936 00:51:35,040 --> 00:51:38,360 Speaker 1: and Authentic Brands Group, which is a company that acquired 937 00:51:38,400 --> 00:51:41,480 Speaker 1: the rights to Marilyn Monroe's intellectual property back in twenty eighteen. 938 00:51:42,080 --> 00:51:44,719 Speaker 1: Sole Machine set in a blog post it's as if 939 00:51:44,760 --> 00:51:47,680 Speaker 1: the spark of Maryland herself has been translated into the 940 00:51:47,719 --> 00:51:48,600 Speaker 1: AI age. 941 00:51:49,400 --> 00:51:53,239 Speaker 2: Yikes. So how does this work? Well? 942 00:51:53,239 --> 00:51:56,960 Speaker 1: According to Deadline, Digital Maryland can interact in real time 943 00:51:57,320 --> 00:52:01,440 Speaker 1: using advanced natural language processing deep learning and open ais 944 00:52:01,600 --> 00:52:04,840 Speaker 1: chat GPT three point five, which means it is another 945 00:52:04,880 --> 00:52:08,600 Speaker 1: step forward in extending the ability to monetize celebrities even 946 00:52:08,760 --> 00:52:10,040 Speaker 1: after their death. 947 00:52:10,960 --> 00:52:12,400 Speaker 4: So we talked about this. 948 00:52:12,400 --> 00:52:14,040 Speaker 1: A little bit in the episode that we did about 949 00:52:14,080 --> 00:52:18,720 Speaker 1: the Whitney Houston hologram and her residency in Las Vegas. 950 00:52:18,760 --> 00:52:22,040 Speaker 1: But Soul Machines is clear that this is another step 951 00:52:22,040 --> 00:52:25,640 Speaker 1: forward in terms of celebrities or their like AI likeness 952 00:52:25,960 --> 00:52:28,920 Speaker 1: being able to connect with consumers on behalf of brands. 953 00:52:28,960 --> 00:52:33,040 Speaker 1: They say this collaboration exemplifies the transformative power of AI 954 00:52:33,480 --> 00:52:37,440 Speaker 1: in connecting brands and consumers. Digital Maryland showcases our biological 955 00:52:37,440 --> 00:52:41,200 Speaker 1: AI bringing an iconic personality to life through engaging dialogues 956 00:52:41,200 --> 00:52:44,520 Speaker 1: and emotional intelligence. It's more than nostalgia. It's a glimpse 957 00:52:44,560 --> 00:52:46,520 Speaker 1: into the future of immersive interactions. 958 00:52:46,680 --> 00:52:49,560 Speaker 2: Oh, Bridget, why do you hate this so much? 959 00:52:49,800 --> 00:52:50,520 Speaker 4: Great question? 960 00:52:51,400 --> 00:52:53,919 Speaker 1: Well, I think part of the reason why I hate 961 00:52:53,920 --> 00:52:55,920 Speaker 1: it so much is the same reason why the Whitney 962 00:52:55,960 --> 00:52:59,040 Speaker 1: Houston hologram I hate that so much. Is because we're 963 00:52:59,040 --> 00:53:03,400 Speaker 1: talking about women who spent their entire lives being exploited 964 00:53:03,440 --> 00:53:07,680 Speaker 1: by men, and that I just see that exploitation continuing 965 00:53:07,800 --> 00:53:11,000 Speaker 1: after their deaths. Like, did you know that Hugh Hefner 966 00:53:11,600 --> 00:53:15,840 Speaker 1: is buried in the burial plot above Marilyn Monroe? He 967 00:53:15,960 --> 00:53:19,120 Speaker 1: bought it after she died because he, as he said, quote, 968 00:53:19,400 --> 00:53:22,840 Speaker 1: spending eternity next to Maryland is an opportunity too sweet 969 00:53:22,880 --> 00:53:23,560 Speaker 1: to pass up. 970 00:53:23,960 --> 00:53:25,600 Speaker 4: This was somebody who. 971 00:53:25,200 --> 00:53:29,239 Speaker 1: Financially and sexually exploited Marilyn Monroe all the time when 972 00:53:29,239 --> 00:53:32,080 Speaker 1: she was still alive, totally cut her out of the 973 00:53:32,120 --> 00:53:35,920 Speaker 1: profits for her own likeness, using his money to basically 974 00:53:35,960 --> 00:53:38,719 Speaker 1: supend eternity on top of her even in death. And 975 00:53:38,760 --> 00:53:41,800 Speaker 1: so I hate that, and I just see this AI 976 00:53:42,320 --> 00:53:45,880 Speaker 1: reimagining of these celebrities as another iteration of that. I 977 00:53:46,000 --> 00:53:49,279 Speaker 1: hate that they have yet another way to flatten out 978 00:53:49,320 --> 00:53:53,320 Speaker 1: these iconic people who lived and existed and were dynamic 979 00:53:53,360 --> 00:53:58,120 Speaker 1: and complicated into these like AI tech enabled caricatures of themselves. 980 00:53:58,160 --> 00:53:59,440 Speaker 4: I find it really gross. 981 00:54:00,040 --> 00:54:02,799 Speaker 1: We've covered this happening on the show before, like that 982 00:54:03,320 --> 00:54:08,360 Speaker 1: George Carlin AI enabled stand up impersonation. The family of 983 00:54:08,440 --> 00:54:11,280 Speaker 1: Robin Williams has also really been clear that they don't 984 00:54:11,320 --> 00:54:16,640 Speaker 1: appreciate AI imitations of his likeness. I just think, you know, 985 00:54:16,719 --> 00:54:19,480 Speaker 1: even though in this situation, this company, it sounds like, 986 00:54:19,560 --> 00:54:23,080 Speaker 1: did purchase the intellectual property of marily Monroe's likeness fair 987 00:54:23,160 --> 00:54:27,160 Speaker 1: and square, I just think that it grosses me out 988 00:54:27,200 --> 00:54:30,400 Speaker 1: to think of a celebrity, especially a woman who was 989 00:54:30,440 --> 00:54:34,000 Speaker 1: exploited for most of her life, having her likeness controlled 990 00:54:34,239 --> 00:54:36,600 Speaker 1: by a group of tech gros who unveil it at 991 00:54:36,640 --> 00:54:39,160 Speaker 1: south By Southwest like a. 992 00:54:39,200 --> 00:54:41,000 Speaker 4: Side show for all eternity. 993 00:54:41,040 --> 00:54:43,759 Speaker 1: I just don't like it, and I think in all 994 00:54:43,800 --> 00:54:46,840 Speaker 1: the different ways that we have seen AI be used, 995 00:54:47,480 --> 00:54:49,600 Speaker 1: it's not lost on me that some of the first 996 00:54:49,840 --> 00:54:52,400 Speaker 1: are how can we use it to exploit women? 997 00:54:52,719 --> 00:54:53,799 Speaker 4: I just don't like it. 998 00:54:54,320 --> 00:54:57,880 Speaker 3: Yeah, it's it does feel gross. I guess it's not 999 00:54:57,920 --> 00:55:00,960 Speaker 3: surprising the tests were ah got started? 1000 00:55:01,800 --> 00:55:05,279 Speaker 4: Yeah, yup, yuck is right. But you know what, I 1001 00:55:05,320 --> 00:55:05,960 Speaker 4: don't hate? 1002 00:55:06,200 --> 00:55:09,600 Speaker 1: What's that breaking down all of these internet and tech 1003 00:55:09,680 --> 00:55:10,359 Speaker 1: stories with you? 1004 00:55:10,440 --> 00:55:10,680 Speaker 7: Mike. 1005 00:55:10,760 --> 00:55:12,120 Speaker 1: Thank you so much for being here. 1006 00:55:12,160 --> 00:55:13,640 Speaker 2: Thanks for having me, Bridget. 1007 00:55:13,440 --> 00:55:15,239 Speaker 1: And thanks to all of you for listening. I will 1008 00:55:15,239 --> 00:55:21,319 Speaker 1: see you on the Internet. If you're looking for ways 1009 00:55:21,320 --> 00:55:23,480 Speaker 1: to support the show, check out our merch store at 1010 00:55:23,520 --> 00:55:27,279 Speaker 1: tangoti dot com slash store. Got a story about an 1011 00:55:27,320 --> 00:55:29,320 Speaker 1: interesting thing in tech, or just want to say hi? 1012 00:55:29,640 --> 00:55:31,920 Speaker 1: You can reach us at Hello at teangody dot com. 1013 00:55:31,960 --> 00:55:34,120 Speaker 1: You can also find transcripts for today's episode at TENG 1014 00:55:34,120 --> 00:55:36,360 Speaker 1: Goody dot com. There Are No Girls on the Internet 1015 00:55:36,440 --> 00:55:38,799 Speaker 1: was created by me Bridget Todd. It's a production of 1016 00:55:38,800 --> 00:55:43,400 Speaker 1: iHeartRadio and Unboss Creative, edited by Joey Pat Jonathan Strickland 1017 00:55:43,440 --> 00:55:46,160 Speaker 1: is our executive producer. Tari Harrison is our producer and 1018 00:55:46,239 --> 00:55:49,959 Speaker 1: sound engineer. Michael Almada is our contributing producer. I'm your host, 1019 00:55:49,960 --> 00:55:52,200 Speaker 1: Bridget Todd. If you want to help us grow, rate 1020 00:55:52,280 --> 00:55:56,000 Speaker 1: and review us on Apple Podcasts. For more podcasts from iHeartRadio, 1021 00:55:56,120 --> 00:55:58,400 Speaker 1: check out the iHeartRadio app, Apple Podcasts, or wherever you 1022 00:55:58,480 --> 00:56:00,920 Speaker 1: get your podcasts. 1023 00:56:01,520 --> 00:56:02,640 Speaker 7: Have to w