1 00:00:00,120 --> 00:00:04,120 Speaker 1: From the dark corners of the web, an emerging mindset. 2 00:00:03,760 --> 00:00:06,040 Speaker 2: I am a loser if also we know wouldn't pay 3 00:00:06,040 --> 00:00:06,440 Speaker 2: me either. 4 00:00:06,640 --> 00:00:11,400 Speaker 1: A hidden world of resentment, cynicism, anger against women at 5 00:00:11,400 --> 00:00:12,840 Speaker 1: a deadly tipping point. 6 00:00:13,119 --> 00:00:16,240 Speaker 3: In Cells will be added to the Terrorism Guide Pelissea. 7 00:00:16,360 --> 00:00:20,520 Speaker 3: A driver intentionally drove into a crowd, killing ten people. 8 00:00:21,040 --> 00:00:25,279 Speaker 1: Tomorrow is the day of retribution, the day in which 9 00:00:25,400 --> 00:00:27,040 Speaker 1: I will have my revenge. 10 00:00:27,200 --> 00:00:30,840 Speaker 4: Is very angry, expressing a lot of hatred towards women 11 00:00:31,120 --> 00:00:33,680 Speaker 4: and towards men who get all the women. 12 00:00:34,320 --> 00:00:37,000 Speaker 3: I just told my husband I know she's dead. 13 00:00:39,040 --> 00:00:44,120 Speaker 1: This is in Cells, a production of Kat's Studios and iHeartRadio, 14 00:00:44,920 --> 00:00:52,280 Speaker 1: Season one, Episode three, Just ten Steps. I'm Courtney Armstrong, 15 00:00:52,400 --> 00:00:56,520 Speaker 1: a producer at KATI Studios, with Stephanie Leidecker, Gabriel Castillo, 16 00:00:56,920 --> 00:01:01,680 Speaker 1: Connor Powell, and Carolyn Miller. In the first two episodes, 17 00:01:01,720 --> 00:01:06,800 Speaker 1: we identified what in cels are, spoke with experts about ideologies, language, 18 00:01:07,000 --> 00:01:10,800 Speaker 1: and where they commonly congregate online. We also heard from 19 00:01:10,840 --> 00:01:14,000 Speaker 1: two remarkable mothers who shared in the aftermath of losing 20 00:01:14,080 --> 00:01:18,120 Speaker 1: their daughters, nineteen year old Veronica Weiss and seventeen year 21 00:01:18,160 --> 00:01:22,320 Speaker 1: old Bianca Devans, both girls died senselessly at the hands 22 00:01:22,360 --> 00:01:26,480 Speaker 1: of inseell ideology taken to its most violent extreme. In 23 00:01:26,520 --> 00:01:30,039 Speaker 1: the case of Bianca. What her killer did post mortem 24 00:01:30,440 --> 00:01:32,280 Speaker 1: continues online to this day. 25 00:01:33,840 --> 00:01:37,120 Speaker 5: Seventeen year old Bianca Devns of Utica was found dead 26 00:01:37,160 --> 00:01:38,919 Speaker 5: in a wooded area at the end of the street. 27 00:01:39,280 --> 00:01:42,040 Speaker 6: Her killer posted the images of her body online and 28 00:01:42,120 --> 00:01:43,160 Speaker 6: they soon went viral. 29 00:01:43,600 --> 00:01:47,480 Speaker 2: On discord, it's fairly common for people to post gore 30 00:01:47,840 --> 00:01:50,720 Speaker 2: and disturbing images just to sort of get a rise 31 00:01:50,840 --> 00:01:51,520 Speaker 2: out of people. 32 00:01:52,720 --> 00:01:56,920 Speaker 1: Kim Devns, Bianca's mother, spoke about how toxic and dangerous 33 00:01:56,960 --> 00:02:00,840 Speaker 1: the conversations are in insuell forums. That's where we spend 34 00:02:00,840 --> 00:02:03,200 Speaker 1: a lot of time throughout our producing both to get 35 00:02:03,200 --> 00:02:06,680 Speaker 1: a lay of the land and to gather firsthand experiences. 36 00:02:07,600 --> 00:02:11,920 Speaker 1: Here's investigative journalist and producer Connor Powell talking about his 37 00:02:12,040 --> 00:02:14,040 Speaker 1: experiences on insull forums. 38 00:02:15,880 --> 00:02:19,280 Speaker 4: There's sort of two different groups. There are those that 39 00:02:19,360 --> 00:02:23,240 Speaker 4: are very public about their struggles and self describing themselves 40 00:02:23,280 --> 00:02:26,720 Speaker 4: as in cells and on places like Facebook and Reddit. 41 00:02:26,840 --> 00:02:29,959 Speaker 4: They tend to be a little bit more sort of calm, 42 00:02:30,040 --> 00:02:33,040 Speaker 4: a little less angry, and that's part according to talking 43 00:02:33,080 --> 00:02:35,840 Speaker 4: to them, is that both Facebook and Reddit have some rules, 44 00:02:35,880 --> 00:02:40,959 Speaker 4: have some moderation restrictions, and they do police the language 45 00:02:41,120 --> 00:02:43,880 Speaker 4: they are using, often their own names, so they're a 46 00:02:43,880 --> 00:02:46,400 Speaker 4: little bit more easy to talk to. But on in 47 00:02:46,480 --> 00:02:49,880 Speaker 4: cell discussion board, insel dot co or insel dot is, 48 00:02:50,280 --> 00:02:53,160 Speaker 4: those names are all anonymous. They don't use their real names. 49 00:02:53,160 --> 00:02:56,560 Speaker 4: In fact, there was a whole discussion thread about how 50 00:02:56,600 --> 00:03:00,400 Speaker 4: you can best protect yourself, about protecting your identity so 51 00:03:00,440 --> 00:03:04,280 Speaker 4: that you can essentially post as angrily as obscene as 52 00:03:04,280 --> 00:03:07,920 Speaker 4: you want without having to have any repercussions. So you know, 53 00:03:07,960 --> 00:03:11,400 Speaker 4: they are very aware that what they're posting could get 54 00:03:11,440 --> 00:03:14,080 Speaker 4: them into trouble. And I think you see a lot 55 00:03:14,200 --> 00:03:17,800 Speaker 4: more abusive language, a lot more sort of obscene language 56 00:03:17,840 --> 00:03:20,600 Speaker 4: on this in cell website than you would say on 57 00:03:20,760 --> 00:03:24,000 Speaker 4: like an in cell chat group on Facebook or even Reddit. 58 00:03:25,480 --> 00:03:29,400 Speaker 7: Online anonymity means no repercussions for being nasty. 59 00:03:29,560 --> 00:03:32,639 Speaker 2: Add all this together and you get what psychologists call. 60 00:03:32,840 --> 00:03:37,880 Speaker 7: The online disinhibition effect, and effectively it dictates that people 61 00:03:37,920 --> 00:03:40,680 Speaker 7: will do things that they wouldn't do in the real world. 62 00:03:42,560 --> 00:03:45,080 Speaker 1: I asked why members of inseell forums would have such 63 00:03:45,080 --> 00:03:47,880 Speaker 1: a strong focus on security and anonymity. 64 00:03:49,680 --> 00:03:52,280 Speaker 4: They don't want to lose their jobs. They don't want 65 00:03:52,320 --> 00:03:55,560 Speaker 4: to have other groups that are combating in cell behavior 66 00:03:55,760 --> 00:03:58,600 Speaker 4: or in cell speech, you know, find out their names 67 00:03:58,640 --> 00:04:01,000 Speaker 4: and put their information out of on social media, to 68 00:04:01,040 --> 00:04:04,600 Speaker 4: have the police called on them, to have other groups 69 00:04:04,760 --> 00:04:07,560 Speaker 4: attack them online. So you know, they really do make 70 00:04:07,600 --> 00:04:10,240 Speaker 4: a real effort to protect their identity because they just 71 00:04:10,240 --> 00:04:13,360 Speaker 4: don't want to be called out. They know generally what 72 00:04:13,400 --> 00:04:16,440 Speaker 4: they're saying is inappropriate. Generally what they're saying is not 73 00:04:16,600 --> 00:04:20,280 Speaker 4: acceptable in sort of the real world. So one person 74 00:04:20,360 --> 00:04:23,280 Speaker 4: talk about how for them, the real world is online 75 00:04:23,640 --> 00:04:27,920 Speaker 4: and the real world for them, in terms of interacting 76 00:04:27,960 --> 00:04:30,000 Speaker 4: with other people is sort of the fake world. They 77 00:04:30,000 --> 00:04:32,560 Speaker 4: have to be somebody they are not in the real world, 78 00:04:32,880 --> 00:04:35,680 Speaker 4: and that's because they feel most comfortable when they can 79 00:04:35,760 --> 00:04:38,159 Speaker 4: use this abuse of language and say things that most 80 00:04:38,160 --> 00:04:39,920 Speaker 4: people would find pretty obscene. 81 00:04:41,600 --> 00:04:44,400 Speaker 1: Spending time on whatever you're interested in is not a 82 00:04:44,400 --> 00:04:48,320 Speaker 1: new phenomenon. People have things in common or generally agree 83 00:04:48,400 --> 00:04:52,360 Speaker 1: with one another. Forming groups is not a new phenomenon. However, 84 00:04:53,040 --> 00:04:56,680 Speaker 1: the ways people are fed information and are drawn together online, 85 00:04:57,000 --> 00:05:01,120 Speaker 1: specifically in social media, has not just been mega amplified, 86 00:05:01,520 --> 00:05:04,240 Speaker 1: it's literally gotten out of human control. 87 00:05:07,400 --> 00:05:11,240 Speaker 8: Americans average more than two hours a day scrolling content 88 00:05:11,520 --> 00:05:14,920 Speaker 8: fed to us through algorithms based on our specific interests 89 00:05:14,960 --> 00:05:18,120 Speaker 8: and past online activity. But a growing chorus of critics 90 00:05:18,160 --> 00:05:21,120 Speaker 8: warns that algorithms can lead us to disturbing places, into 91 00:05:21,120 --> 00:05:22,200 Speaker 8: making bad choices. 92 00:05:22,400 --> 00:05:27,520 Speaker 7: These algorithms, they are the digital equivalent of ar fifteens. 93 00:05:29,480 --> 00:05:32,719 Speaker 1: Social media algorithms seem to hand deliver whatever you didn't 94 00:05:32,720 --> 00:05:35,240 Speaker 1: know you needed, write to your phone or computer and 95 00:05:35,360 --> 00:05:38,800 Speaker 1: instantly how to craft the perfect cocktail out of paar juices, 96 00:05:39,240 --> 00:05:44,080 Speaker 1: master cartwheel, or spruce up your backyard. These are innocuous examples. 97 00:05:44,600 --> 00:05:48,800 Speaker 1: Here's Stephanie and Connor Powell discussing the potentially nefarious side 98 00:05:48,920 --> 00:05:49,839 Speaker 1: of algorithms. 99 00:05:51,960 --> 00:05:55,480 Speaker 4: At its most basic level, the algorithm is a computer 100 00:05:55,960 --> 00:05:59,720 Speaker 4: or social media site deciding what is put in front 101 00:05:59,720 --> 00:06:02,839 Speaker 4: of you in your feed. It's a computational set of 102 00:06:02,920 --> 00:06:06,240 Speaker 4: rules that whether it's one of the large companies like 103 00:06:06,279 --> 00:06:10,440 Speaker 4: Facebook or Google, they've decided that they are going to 104 00:06:10,440 --> 00:06:14,679 Speaker 4: push content to you. It's the computer saying you're going 105 00:06:14,720 --> 00:06:18,440 Speaker 4: to watch this, and the more you scroll, the more 106 00:06:18,480 --> 00:06:20,600 Speaker 4: you look at things, the more it learns about your 107 00:06:20,640 --> 00:06:23,400 Speaker 4: behavior and your attitudes and your interests. Now they're looking 108 00:06:23,560 --> 00:06:26,320 Speaker 4: like are you a young man? The algorithms are getting 109 00:06:26,520 --> 00:06:31,400 Speaker 4: so sophisticated, they're starting to do predictive interests and predictive likes, 110 00:06:31,720 --> 00:06:34,680 Speaker 4: and for young men and for young girls, that can 111 00:06:34,720 --> 00:06:39,039 Speaker 4: get really dangerous because the algorithms start of making general, 112 00:06:39,160 --> 00:06:42,920 Speaker 4: overarching decisions about what you should be interested in, and 113 00:06:43,160 --> 00:06:45,200 Speaker 4: it can push you in those directions because again, what 114 00:06:45,200 --> 00:06:47,440 Speaker 4: are they trying to do. They're trying to engage. What's 115 00:06:47,440 --> 00:06:51,080 Speaker 4: the easiest way to engage to inflame if you're fired up, 116 00:06:51,120 --> 00:06:54,680 Speaker 4: if you're angry, if you are riddled with anxiety. You 117 00:06:54,760 --> 00:06:58,280 Speaker 4: keep scrolling, you keep looking through, creating a feedback. 118 00:06:58,240 --> 00:07:00,640 Speaker 2: And what we're seeing real time with Insight, which I 119 00:07:00,720 --> 00:07:04,640 Speaker 2: thought was really staggering. There is no question now that 120 00:07:04,880 --> 00:07:09,600 Speaker 2: there are certain groups and people who are specifically targeting 121 00:07:09,960 --> 00:07:14,280 Speaker 2: young demographics who have a very limited social network, who 122 00:07:14,280 --> 00:07:17,080 Speaker 2: maybe feel isolated in the world, who maybe feel like 123 00:07:17,160 --> 00:07:21,120 Speaker 2: the loner, who may have suicide ideation or a tilt 124 00:07:21,200 --> 00:07:26,440 Speaker 2: toward violence because they're feeling completely disenfranchised. That is the target. 125 00:07:26,600 --> 00:07:29,559 Speaker 2: So it's not just this happy accident where two things 126 00:07:29,600 --> 00:07:31,160 Speaker 2: are meeting in this dark place. 127 00:07:34,800 --> 00:07:38,360 Speaker 1: We spoke with Boyce and Hodson, the communications and marketing 128 00:07:38,400 --> 00:07:43,440 Speaker 1: director for The Mankind Project USA. He shared some disturbing 129 00:07:43,560 --> 00:07:45,600 Speaker 1: but very important information with us. 130 00:07:46,400 --> 00:07:49,560 Speaker 6: It is very easy to see and folks, my age, 131 00:07:49,640 --> 00:07:53,000 Speaker 6: folks who are older parents, we have young adult children. 132 00:07:53,120 --> 00:07:56,880 Speaker 6: A lot of us, we don't even know what our 133 00:07:56,960 --> 00:08:01,120 Speaker 6: children are seeing. And when the researcher go and look 134 00:08:01,160 --> 00:08:04,800 Speaker 6: at content and just kind of let the algorithms take 135 00:08:04,880 --> 00:08:08,160 Speaker 6: over for them, what is inevitably going to happen with 136 00:08:08,320 --> 00:08:12,120 Speaker 6: in Sell ideology, with pornography, with any kind of violent 137 00:08:12,240 --> 00:08:16,600 Speaker 6: or antisocial messaging, is that the content will get increasingly 138 00:08:16,760 --> 00:08:22,120 Speaker 6: violent and increasingly more negative if you just let the 139 00:08:22,240 --> 00:08:26,840 Speaker 6: algorithm control what you're seeing. So a nine year old 140 00:08:26,920 --> 00:08:31,800 Speaker 6: boy can very easily go from a very innocuous YouTube 141 00:08:31,920 --> 00:08:37,920 Speaker 6: video to hardcore in Sell ideology in ten steps. You know, 142 00:08:38,000 --> 00:08:40,800 Speaker 6: that's a made up number, but it's very easy to 143 00:08:40,880 --> 00:08:45,400 Speaker 6: go from very simple stuff into very harmful stuff if 144 00:08:45,440 --> 00:08:49,240 Speaker 6: you just follow the algorithm. 145 00:08:49,679 --> 00:08:53,520 Speaker 1: We asked how this continuous, violent and antisocial content affects 146 00:08:53,559 --> 00:08:54,880 Speaker 1: young developing minds. 147 00:08:57,920 --> 00:09:02,560 Speaker 6: There is an incredibly dangerous developmental experiment that we are 148 00:09:02,600 --> 00:09:06,960 Speaker 6: playing with young people in our culture. Jonathan Hate talks 149 00:09:07,000 --> 00:09:09,840 Speaker 6: about this in his writing quite a lot. There's a 150 00:09:09,880 --> 00:09:15,200 Speaker 6: book called Dopamine Nation that really highlights this idea that 151 00:09:15,400 --> 00:09:18,680 Speaker 6: we are rewiring our children's brains and ways that we 152 00:09:18,760 --> 00:09:22,280 Speaker 6: don't even understand, and we won't actually know what the 153 00:09:22,320 --> 00:09:26,280 Speaker 6: outcome is for another ten years or so. The addictive 154 00:09:26,440 --> 00:09:31,640 Speaker 6: process is an incredibly powerful process that we are kind 155 00:09:31,640 --> 00:09:35,840 Speaker 6: of just letting run our society. 156 00:09:38,280 --> 00:09:41,000 Speaker 1: Let's stop here for a break. We'll be back in 157 00:09:41,040 --> 00:10:05,640 Speaker 1: a moment here again. Connor Powell and Stephanie Leidecker. They're 158 00:10:05,679 --> 00:10:08,840 Speaker 1: talking about how social media is specifically designed to keep 159 00:10:08,960 --> 00:10:12,400 Speaker 1: us all on edge or enraged. It's a way of 160 00:10:12,440 --> 00:10:14,760 Speaker 1: locking us into the doom scrolling loops. 161 00:10:16,960 --> 00:10:21,120 Speaker 4: So the single most important metric that social media companies 162 00:10:21,280 --> 00:10:25,120 Speaker 4: use for their sites, and Mark Zuckerberg has talked about 163 00:10:25,160 --> 00:10:29,240 Speaker 4: this is engagement. What is engagement? Engagement is how long 164 00:10:29,280 --> 00:10:32,520 Speaker 4: are you on their website? And how do you keep 165 00:10:32,559 --> 00:10:37,040 Speaker 4: people engaged? You build a sense of anxiety, you fire 166 00:10:37,120 --> 00:10:40,520 Speaker 4: them up. They are designed to take you to bad places. 167 00:10:41,840 --> 00:10:43,320 Speaker 3: Have you ever felt like the ads that you see 168 00:10:43,320 --> 00:10:46,240 Speaker 3: on your social media feed are specifically targeted to you. 169 00:10:46,559 --> 00:10:48,960 Speaker 1: It's almost like the app is listening to your conversation. 170 00:10:49,679 --> 00:10:51,920 Speaker 4: What if your phone already knows what you'll buy? 171 00:10:52,080 --> 00:10:55,160 Speaker 5: Who you'll date, even what you'll fear before you do. 172 00:10:56,600 --> 00:11:02,679 Speaker 4: The single largest entertainment company in the world is not Comcasts, Paramount, Disney, 173 00:11:02,880 --> 00:11:06,640 Speaker 4: the BBC, or any of these other companies. It is YouTube. 174 00:11:07,120 --> 00:11:10,079 Speaker 4: There is more content, It creates more revenue and more 175 00:11:10,120 --> 00:11:13,360 Speaker 4: profit than any other and YouTube has something that no 176 00:11:13,440 --> 00:11:16,040 Speaker 4: other company does because YouTube is owned by Alphabet, the 177 00:11:16,080 --> 00:11:19,240 Speaker 4: Google company. Right, if you send an email that gets 178 00:11:19,240 --> 00:11:21,640 Speaker 4: pumped into how you will look and what is fed 179 00:11:21,679 --> 00:11:24,240 Speaker 4: to you in YouTube, because it will read what you 180 00:11:24,360 --> 00:11:27,640 Speaker 4: are doing an email or what you are searching for. 181 00:11:28,040 --> 00:11:30,640 Speaker 4: I want baseball cleats for my son. Guess what's going 182 00:11:30,679 --> 00:11:34,120 Speaker 4: to pop up on YouTube? Advertisements or people talking about 183 00:11:34,120 --> 00:11:37,480 Speaker 4: baseball equipment, or people talking about sports, or maybe they 184 00:11:37,520 --> 00:11:41,760 Speaker 4: broaden it out if you put in something that's maybe darker, oh, 185 00:11:41,840 --> 00:11:44,720 Speaker 4: gasoline caniser. Who knows what's going to pop up on 186 00:11:44,800 --> 00:11:47,360 Speaker 4: YouTube when you go to YouTube? Right, Yeah, maybe it's 187 00:11:47,360 --> 00:11:49,880 Speaker 4: for your vehicle, or maybe it's for something else. We 188 00:11:50,000 --> 00:11:52,640 Speaker 4: just don't know because we don't know what's in the algorithm. 189 00:11:52,760 --> 00:11:55,320 Speaker 4: It can take you to some very dark places. 190 00:11:56,480 --> 00:12:00,320 Speaker 2: What you just described is exactly the point and the 191 00:12:00,320 --> 00:12:01,679 Speaker 2: scariest thing I've ever heard. 192 00:12:02,280 --> 00:12:05,160 Speaker 4: Do you remember when we first got on social media, 193 00:12:05,320 --> 00:12:07,600 Speaker 4: and it was just twenty years ago, right, it went 194 00:12:07,679 --> 00:12:10,440 Speaker 4: from being a connection to your family and friends to 195 00:12:10,960 --> 00:12:16,120 Speaker 4: essentially a NonStop advertisement of other people's products. 196 00:12:16,559 --> 00:12:18,600 Speaker 2: That you bring up a good point about advertising, and 197 00:12:18,640 --> 00:12:21,080 Speaker 2: I guess that's the key question that we want to unpack. 198 00:12:21,360 --> 00:12:24,920 Speaker 2: Where is the money? Who is paying for what? The 199 00:12:25,040 --> 00:12:27,920 Speaker 2: oldest adage in the land follow the money. 200 00:12:28,080 --> 00:12:30,280 Speaker 4: I mean, the largest companies in the world right now 201 00:12:30,440 --> 00:12:33,920 Speaker 4: are all tech companies that are dealing with AI or 202 00:12:34,320 --> 00:12:39,800 Speaker 4: providing algorithms for content. When Google purchased YouTube back in 203 00:12:39,840 --> 00:12:42,640 Speaker 4: two thousand and six, twenty years ago about now, they 204 00:12:42,679 --> 00:12:45,800 Speaker 4: purchased for one point six billion and is now worth 205 00:12:45,960 --> 00:12:50,199 Speaker 4: roughly five hundred billion dollars. That's an incredible return for 206 00:12:50,840 --> 00:12:54,920 Speaker 4: the Google Alphabet company. And it's the largest media company 207 00:12:54,920 --> 00:12:57,960 Speaker 4: in the world right now. Their reach is global and 208 00:12:58,800 --> 00:13:01,559 Speaker 4: they don't pay for any content. All they do is 209 00:13:01,640 --> 00:13:05,080 Speaker 4: put ads on user generated content. Just to put that 210 00:13:05,160 --> 00:13:09,320 Speaker 4: in perspective, there are first world countries like Austria, Singapore, 211 00:13:09,559 --> 00:13:12,840 Speaker 4: Norway which have GDPs the gross domesster product which is 212 00:13:12,880 --> 00:13:15,000 Speaker 4: sort of the how big is the economy that are 213 00:13:15,080 --> 00:13:19,520 Speaker 4: roughly five hundred billion dollars so YouTube as a standalone 214 00:13:19,559 --> 00:13:23,440 Speaker 4: company as roughly the same value as some of these 215 00:13:23,520 --> 00:13:28,920 Speaker 4: other first world countries. That's how big and powerful YouTube 216 00:13:28,960 --> 00:13:30,360 Speaker 4: as a standalone company is. 217 00:13:32,679 --> 00:13:35,320 Speaker 1: Stephanie and Connor turn their attention from the nuts and 218 00:13:35,320 --> 00:13:40,839 Speaker 1: bolts of algorithms, technology so powerful it's collectively worth trillions 219 00:13:40,880 --> 00:13:44,240 Speaker 1: of dollars worldwide to how their impacts can lead to 220 00:13:44,320 --> 00:13:45,440 Speaker 1: real world violence. 221 00:13:47,640 --> 00:13:50,199 Speaker 2: If we're watching things on our social media that are 222 00:13:50,320 --> 00:13:55,360 Speaker 2: intentionally being targeted to our small perspective, that's also pretty dangerous. 223 00:13:55,360 --> 00:13:59,000 Speaker 2: So if you're somebody who's unemployed, tough on their luck, 224 00:13:59,240 --> 00:14:01,920 Speaker 2: living in the base men of mom and dad's house, 225 00:14:02,280 --> 00:14:04,680 Speaker 2: kind of feeling a little bit lonesome and depressed, not 226 00:14:04,960 --> 00:14:07,640 Speaker 2: really assimilating into the real world. Here you are, You're 227 00:14:07,679 --> 00:14:11,079 Speaker 2: on your computer, you're lacking community, and now suddenly community 228 00:14:11,480 --> 00:14:15,480 Speaker 2: is finding you. Now suddenly said community is dark and 229 00:14:15,520 --> 00:14:20,440 Speaker 2: potentially dangerous, and they're filling your brain with more dark, 230 00:14:20,840 --> 00:14:23,840 Speaker 2: scary information. So while you may feel like you are 231 00:14:23,880 --> 00:14:26,400 Speaker 2: a part of a community, the community is full on 232 00:14:26,640 --> 00:14:29,760 Speaker 2: targeting you because they know that you might be vulnerable 233 00:14:29,800 --> 00:14:32,600 Speaker 2: and lonely and susceptible to them. And at the end 234 00:14:32,640 --> 00:14:34,560 Speaker 2: of the day, it could lead to violence, as we're 235 00:14:34,560 --> 00:14:35,560 Speaker 2: seeing real time. 236 00:14:37,240 --> 00:14:40,320 Speaker 4: In the hour before the attack, a four page manifesto 237 00:14:40,440 --> 00:14:43,440 Speaker 4: allegedly written by Crusius appeared online. 238 00:14:43,680 --> 00:14:46,720 Speaker 7: Social media posts attributed to him contain other hate speech, 239 00:14:46,960 --> 00:14:49,600 Speaker 7: and a final entry just before the shooting, perhaps was 240 00:14:49,640 --> 00:14:52,600 Speaker 7: an indicator of the deadly violence about to unfold. The 241 00:14:52,680 --> 00:14:56,600 Speaker 7: suspect repeatedly posted photos of guns and Bower's profile page 242 00:14:56,640 --> 00:14:59,360 Speaker 7: read quote, screw your optics, I'm going in. 243 00:15:01,360 --> 00:15:04,960 Speaker 2: Even when we started this podcast, this was not that 244 00:15:05,200 --> 00:15:08,400 Speaker 2: prevalent in terms of language in cells, things like that. 245 00:15:08,640 --> 00:15:11,840 Speaker 2: Now it's on the ticker of every show we are 246 00:15:11,880 --> 00:15:16,320 Speaker 2: seeing because the radicalization in these dark corners of the 247 00:15:16,360 --> 00:15:20,280 Speaker 2: web that are not regulated, we're all subjected to it 248 00:15:20,400 --> 00:15:23,520 Speaker 2: and don't even realize it. So and we're adults. What 249 00:15:23,600 --> 00:15:26,000 Speaker 2: about those who were kind of finding their way on 250 00:15:26,040 --> 00:15:26,440 Speaker 2: their own. 251 00:15:28,600 --> 00:15:30,600 Speaker 1: We had an in depth interview with the young man 252 00:15:30,680 --> 00:15:35,120 Speaker 1: who self identifies as an insul. He goes by mister East. 253 00:15:35,360 --> 00:15:38,320 Speaker 1: We'll hear more of his personal story in a later episode. 254 00:15:39,000 --> 00:15:42,040 Speaker 1: For now, in an effort to hear all perspectives, we 255 00:15:42,080 --> 00:15:45,560 Speaker 1: ask mister East how he feels algorithms are impacting his world. 256 00:15:46,400 --> 00:15:48,520 Speaker 1: For me, it was eye opening. 257 00:15:49,920 --> 00:15:53,320 Speaker 5: I mean algorithms. I don't think they're doing it intentionally. 258 00:15:53,440 --> 00:15:56,480 Speaker 5: I think they're more like they're doing it because they see, 259 00:15:56,560 --> 00:16:00,480 Speaker 5: like people view a lot of these contents, and they 260 00:16:00,520 --> 00:16:02,800 Speaker 5: push the content because you know, they want to make money, 261 00:16:02,920 --> 00:16:05,120 Speaker 5: right and more. The more people view them, the more 262 00:16:05,120 --> 00:16:08,840 Speaker 5: a revenue they get, the more money they make. And 263 00:16:08,920 --> 00:16:12,120 Speaker 5: what happens is that a lot of these people, basically 264 00:16:12,200 --> 00:16:15,920 Speaker 5: it's a spiral. People might start viewing like why don't 265 00:16:16,240 --> 00:16:18,600 Speaker 5: girls like me? Or what am I doing wrong? On 266 00:16:18,680 --> 00:16:22,280 Speaker 5: Tinder at first, and maybe after words they start following 267 00:16:22,360 --> 00:16:25,880 Speaker 5: into the red pill sphere, maybe not like the black 268 00:16:25,880 --> 00:16:28,560 Speaker 5: pill right away. It all depends on how like the 269 00:16:28,640 --> 00:16:31,680 Speaker 5: algorithm plays out by chance. I don't believe the Internet 270 00:16:31,800 --> 00:16:36,200 Speaker 5: makes people into in cells. I think like life experiences does, 271 00:16:36,200 --> 00:16:39,480 Speaker 5: but like the Internet certainly allows more, like more of 272 00:16:39,520 --> 00:16:42,000 Speaker 5: these black pill types of people to like get together 273 00:16:42,080 --> 00:16:44,040 Speaker 5: and discuss their thoughts and ideas. 274 00:16:45,040 --> 00:16:47,720 Speaker 1: We asked mister East how he personally got involved in 275 00:16:47,760 --> 00:16:51,120 Speaker 1: online in cell groups, as well as how and why 276 00:16:51,160 --> 00:16:53,239 Speaker 1: he thinks others found these communities. 277 00:16:57,080 --> 00:17:01,320 Speaker 5: Yeah, I do think that algorithm plays large role into 278 00:17:01,640 --> 00:17:05,760 Speaker 5: forming these groups. I first joined the community because I 279 00:17:05,840 --> 00:17:10,600 Speaker 5: wanted to basically talk to people. I was never too 280 00:17:10,600 --> 00:17:14,520 Speaker 5: good at forming relationships, you know, making friends. So when 281 00:17:14,920 --> 00:17:17,679 Speaker 5: I got invited within the community and started like talking 282 00:17:17,720 --> 00:17:19,679 Speaker 5: and getting along with a lot of the people, I 283 00:17:19,720 --> 00:17:21,600 Speaker 5: do believe that a lot of these people they aren't 284 00:17:21,640 --> 00:17:24,639 Speaker 5: really like bad people. They are just lonely, maybe socially 285 00:17:24,640 --> 00:17:28,240 Speaker 5: awkward as well, which is why the Internet, I guess, 286 00:17:28,280 --> 00:17:30,800 Speaker 5: in a way, is so easy for them to you know, 287 00:17:31,160 --> 00:17:33,760 Speaker 5: get together and form these communities, because it is much 288 00:17:33,840 --> 00:17:38,880 Speaker 5: easier over the Internet to communicate and form groups than 289 00:17:39,600 --> 00:17:42,359 Speaker 5: it is in real life. A lot of them, including me, 290 00:17:42,760 --> 00:17:45,560 Speaker 5: we do bond over our shared sense of failure in 291 00:17:45,600 --> 00:17:49,200 Speaker 5: a way. You know, it's sometimes good to know, hey, 292 00:17:49,320 --> 00:17:52,439 Speaker 5: you're not the only failure within this world. You know 293 00:17:52,480 --> 00:17:55,600 Speaker 5: you're not alone in this. And I feel like that 294 00:17:55,760 --> 00:18:00,439 Speaker 5: really resonates with a lot of people because one of 295 00:18:00,480 --> 00:18:05,480 Speaker 5: the things I do believe that occurs when people are failing, 296 00:18:05,560 --> 00:18:08,480 Speaker 5: depending on like how many people around them share the 297 00:18:08,520 --> 00:18:12,680 Speaker 5: same problems, they might feel more alone because they might think, 298 00:18:13,119 --> 00:18:15,720 Speaker 5: why am I the only one who's struggling with this? 299 00:18:15,920 --> 00:18:19,000 Speaker 5: Why is nobody else? Is there just something intrinsically wrong 300 00:18:19,040 --> 00:18:21,440 Speaker 5: with me? I think having a community that can tell 301 00:18:21,480 --> 00:18:24,320 Speaker 5: you, you know, we're just like you, we shared the same problem. 302 00:18:24,359 --> 00:18:26,679 Speaker 5: Then we can we can have a laugh about it. 303 00:18:26,760 --> 00:18:29,280 Speaker 5: We can say, hey, it's over. You know it never began. 304 00:18:30,440 --> 00:18:33,800 Speaker 1: We asked mister East about how online groups compare to 305 00:18:33,840 --> 00:18:35,960 Speaker 1: in person physical connections. 306 00:18:37,760 --> 00:18:41,040 Speaker 5: I would say that no online group in general can 307 00:18:41,160 --> 00:18:44,879 Speaker 5: really substitute for in their personal relationships in real life. 308 00:18:45,160 --> 00:18:48,840 Speaker 5: And I think that despite having like a community that 309 00:18:49,000 --> 00:18:51,920 Speaker 5: can relate to you, I do think that it doesn't 310 00:18:51,960 --> 00:18:55,040 Speaker 5: really solve your loneliness. And this is where like a 311 00:18:55,080 --> 00:18:58,040 Speaker 5: lot of people get sucked into like the part of 312 00:18:58,080 --> 00:19:01,200 Speaker 5: the community that is like more misogynist, more hateful, and 313 00:19:01,240 --> 00:19:04,760 Speaker 5: more like angry. Because when you don't have any in 314 00:19:05,040 --> 00:19:09,200 Speaker 5: real life relationships and you instead spend all your times 315 00:19:09,200 --> 00:19:11,879 Speaker 5: within these echo chambers that like you know, are just 316 00:19:12,000 --> 00:19:16,400 Speaker 5: born from people's pain and anger and frustration, it does 317 00:19:16,800 --> 00:19:21,520 Speaker 5: cause many people to become more and more radicalized. And 318 00:19:22,400 --> 00:19:26,080 Speaker 5: basically online isn't like a replacement for real life loneliness. 319 00:19:26,080 --> 00:19:28,080 Speaker 5: You will still feel lonely even if you are a 320 00:19:28,080 --> 00:19:31,960 Speaker 5: part of these communities, despite what society tells you. You know, 321 00:19:32,359 --> 00:19:35,600 Speaker 5: the nice guy doesn't win. The nice guy never wins in. 322 00:19:35,560 --> 00:19:40,440 Speaker 3: This case, algorithms feed us what they think we want 323 00:19:40,480 --> 00:19:42,760 Speaker 3: to see. It gets to the point where people often 324 00:19:42,920 --> 00:19:46,080 Speaker 3: don't see opposing ideas that may challenge their own views 325 00:19:46,160 --> 00:19:48,760 Speaker 3: unless it's through the lens of attacking or mocking the 326 00:19:48,800 --> 00:19:51,080 Speaker 3: other side. And the cycle keeps going. 327 00:19:57,600 --> 00:20:00,879 Speaker 1: Let's stop here for another break. We'll be back in 328 00:20:00,920 --> 00:20:24,720 Speaker 1: a moment. Stephanie and Connor continue their conversation, focusing on 329 00:20:24,800 --> 00:20:29,400 Speaker 1: how isolation can lead to radicalization and violent tendencies. 330 00:20:30,640 --> 00:20:35,159 Speaker 2: The dark place is literally seeking out young men hoping 331 00:20:35,200 --> 00:20:38,280 Speaker 2: to radicalize. And by the way, what we're seeing real time, 332 00:20:38,720 --> 00:20:42,119 Speaker 2: it's the lone shooter. It's the lone wolf who is 333 00:20:42,160 --> 00:20:45,800 Speaker 2: being radicalized by themselves in the basement. You can see 334 00:20:45,840 --> 00:20:47,320 Speaker 2: how that can turn darkly quick. 335 00:20:47,760 --> 00:20:50,159 Speaker 4: One of the things I find so interesting about some 336 00:20:50,280 --> 00:20:52,560 Speaker 4: of the lone wolf shooters that we've had in the 337 00:20:52,640 --> 00:20:55,119 Speaker 4: last couple of years is one of the first things 338 00:20:55,160 --> 00:20:58,440 Speaker 4: that we always hear about them from authorities is they 339 00:20:58,480 --> 00:21:01,800 Speaker 4: went on discord to post that they shot somebody, or 340 00:21:01,840 --> 00:21:05,560 Speaker 4: they went on social media to explain their manifesto before 341 00:21:05,600 --> 00:21:08,840 Speaker 4: they shoot somebody. Social media is a part of the 342 00:21:08,960 --> 00:21:12,800 Speaker 4: thought process for violent acts in this country. It's not 343 00:21:13,240 --> 00:21:16,200 Speaker 4: just having access to the weapon. It's also the ability 344 00:21:16,240 --> 00:21:20,119 Speaker 4: to tell the world why I'm doing this on Facebook. Remember, 345 00:21:20,119 --> 00:21:22,720 Speaker 4: they've we've had shooters who have live streamed these things. 346 00:21:22,920 --> 00:21:26,400 Speaker 4: We've had shooters who have recorded pre shooting why they're 347 00:21:26,400 --> 00:21:29,200 Speaker 4: doing this. In the case of Tyler Robinson with Charlie Kirk, 348 00:21:29,240 --> 00:21:32,239 Speaker 4: he went on Discord, apparently to brag about doing it, 349 00:21:32,320 --> 00:21:34,399 Speaker 4: to tell his friends that he did this shooting. We 350 00:21:34,440 --> 00:21:37,440 Speaker 4: didn't have that in these violent acts twenty years ago. 351 00:21:38,359 --> 00:21:41,359 Speaker 8: They terrorist invited people to view the Discord server that 352 00:21:41,520 --> 00:21:43,840 Speaker 8: housed his manifesto in other posts in the hour before 353 00:21:43,880 --> 00:21:46,760 Speaker 8: the shooting, so other members the public had an idea 354 00:21:46,800 --> 00:21:49,640 Speaker 8: of what he was up to. Ezekiel Kelly pleaded guilty 355 00:21:49,680 --> 00:21:52,480 Speaker 8: to a deadly citywide shooting spree. 356 00:21:52,560 --> 00:21:56,199 Speaker 7: He used Facebook to live stream the shooting. Armed with 357 00:21:56,280 --> 00:22:00,000 Speaker 7: a rifle, shot and killed four colleagues and wounded nine 358 00:22:00,200 --> 00:22:03,960 Speaker 7: other people, according to police, while live streaming the attack. 359 00:22:05,760 --> 00:22:10,320 Speaker 2: We look at Elliott Roger and his terrible, terrible, terrible 360 00:22:10,359 --> 00:22:14,720 Speaker 2: crime that he committed that was unusual, right and Bianca Devin, 361 00:22:14,800 --> 00:22:19,440 Speaker 2: for example, the most horrific example. This poor girl was 362 00:22:19,640 --> 00:22:23,600 Speaker 2: murdered and her murderer posted about it and posted after 363 00:22:23,680 --> 00:22:27,600 Speaker 2: it and put it on social media for all to see. Remember, 364 00:22:27,680 --> 00:22:30,320 Speaker 2: we are seeing things that we should not. Nobody should 365 00:22:30,320 --> 00:22:33,840 Speaker 2: witness a man being murdered, as we all just recently 366 00:22:33,880 --> 00:22:36,760 Speaker 2: did in the Charlie Kirk assassination. But now we're seeing 367 00:22:36,840 --> 00:22:39,359 Speaker 2: it again and again and again. We're seeing that again 368 00:22:39,440 --> 00:22:44,159 Speaker 2: with Tyler Robinson, Luigi Mangione. These are single person with 369 00:22:44,400 --> 00:22:47,159 Speaker 2: a gun who are now going to act on behalf 370 00:22:47,240 --> 00:22:50,359 Speaker 2: of many, whether they've been instructed to or not. That 371 00:22:50,520 --> 00:22:54,000 Speaker 2: is so scary because again we're just scratching the surface. 372 00:22:54,080 --> 00:22:57,320 Speaker 2: Now we're seeing repeat after repeat after repeat. I mean, 373 00:22:57,400 --> 00:22:59,840 Speaker 2: they're not even trying to not get caught. It's almost 374 00:22:59,840 --> 00:23:02,560 Speaker 2: like there is something popular about being a part of 375 00:23:02,600 --> 00:23:07,080 Speaker 2: this act of violence, and somewhere that's being celebrated. 376 00:23:09,760 --> 00:23:14,520 Speaker 1: While outward violence, these murders and assassinations, which either allegedly 377 00:23:14,760 --> 00:23:19,040 Speaker 1: or in some cases assuredly stem from online radicalization, are 378 00:23:19,040 --> 00:23:24,800 Speaker 1: on the uptick. Thankfully, statistically, they are rare. Self harm, however, 379 00:23:25,000 --> 00:23:28,600 Speaker 1: is becoming more and more prevalent as a worldwide epidemic 380 00:23:28,960 --> 00:23:34,080 Speaker 1: spreading because of social media. Here again, investigative journalists Connor 381 00:23:34,119 --> 00:23:36,000 Speaker 1: Powell and Stephanie Ladaker. 382 00:23:38,320 --> 00:23:41,480 Speaker 4: The amount of self harm and there are lots of 383 00:23:41,560 --> 00:23:44,119 Speaker 4: scientific studies that I've been done at this point about 384 00:23:44,119 --> 00:23:48,240 Speaker 4: the self harm social media sites due to young adults. 385 00:23:48,480 --> 00:23:51,320 Speaker 4: This is known, and the reality is we've known this 386 00:23:51,359 --> 00:23:54,879 Speaker 4: for a long time anecdotally, but it's scientific sort of proven. 387 00:23:54,960 --> 00:23:59,080 Speaker 4: Now there is no rules about what can be pushed 388 00:23:59,080 --> 00:23:59,840 Speaker 4: in front of kids. 389 00:23:59,840 --> 00:23:59,919 Speaker 5: Now. 390 00:24:00,000 --> 00:24:03,320 Speaker 4: Now there's some discussions about whether these AI models should 391 00:24:03,359 --> 00:24:05,960 Speaker 4: be encouraging people to commit suicide or whether or not 392 00:24:05,960 --> 00:24:08,640 Speaker 4: they should be offering help when it comes to suicide. 393 00:24:08,720 --> 00:24:11,760 Speaker 4: But there are multiple lawsuits right now where family members 394 00:24:11,800 --> 00:24:15,720 Speaker 4: whose children turn to AI models and ask them about 395 00:24:15,760 --> 00:24:19,040 Speaker 4: suicide and the AI model gave them a blueprint for 396 00:24:19,080 --> 00:24:20,160 Speaker 4: how to commit suicide. 397 00:24:20,520 --> 00:24:22,840 Speaker 2: You bring up such a big thing because post COVID, 398 00:24:22,920 --> 00:24:26,600 Speaker 2: this is really a conversation about loneliness at its core. 399 00:24:27,000 --> 00:24:30,320 Speaker 2: In cells, this conversation, even at its core, we really 400 00:24:30,400 --> 00:24:34,360 Speaker 2: are talking about a lonely person who is struggling, who 401 00:24:34,440 --> 00:24:37,679 Speaker 2: is now being targeted from outside sources, not for help, 402 00:24:37,920 --> 00:24:42,119 Speaker 2: but being targeted because they have a propensity for violence 403 00:24:42,440 --> 00:24:44,280 Speaker 2: if given the right ingredients. 404 00:24:46,080 --> 00:24:49,119 Speaker 4: Algorithms determine the articles in your Facebook feed or your 405 00:24:49,160 --> 00:24:50,040 Speaker 4: Google results. 406 00:24:50,440 --> 00:24:53,840 Speaker 5: The exact inner workings of these computer programs are trade secrets. 407 00:24:55,359 --> 00:25:00,240 Speaker 4: There really is no oversight of these complex algorithms because 408 00:25:00,280 --> 00:25:02,800 Speaker 4: it's all intellectual property for these companies, and you're relying 409 00:25:02,880 --> 00:25:07,119 Speaker 4: on companies who have a profit motive to make a 410 00:25:07,160 --> 00:25:10,760 Speaker 4: decision about what is best for young people, for all 411 00:25:10,760 --> 00:25:14,400 Speaker 4: people of all ages. They don't have any real responsibility 412 00:25:14,480 --> 00:25:17,919 Speaker 4: or reason to take responsibility because their only goal is 413 00:25:17,960 --> 00:25:21,119 Speaker 4: to make money. Even if their logo is don't be evil, 414 00:25:21,440 --> 00:25:25,840 Speaker 4: their job, their fiduciary responsibility to their shareholders is to 415 00:25:25,840 --> 00:25:28,159 Speaker 4: make money, and the easiest way to make money is 416 00:25:28,200 --> 00:25:32,800 Speaker 4: to pump that algorithm full of anger and extremism. But 417 00:25:32,960 --> 00:25:37,240 Speaker 4: we aren't as a country, legislatively, regulation wise, we're not changing. 418 00:25:37,480 --> 00:25:41,119 Speaker 4: This is not going away. This is the problem that 419 00:25:41,280 --> 00:25:43,399 Speaker 4: confronts us at this moment, and it's going to be 420 00:25:43,440 --> 00:25:45,720 Speaker 4: here for a while because we're not changing any of 421 00:25:45,720 --> 00:25:49,240 Speaker 4: the policies around protecting young kids from these sites. 422 00:25:49,720 --> 00:25:51,879 Speaker 2: By the way, what you just described is so incredibly 423 00:25:51,920 --> 00:25:55,280 Speaker 2: scary because if you're watching television, if you're listening to 424 00:25:55,320 --> 00:25:58,560 Speaker 2: the radio, there are regulations to that. So there are 425 00:25:58,560 --> 00:26:02,960 Speaker 2: certain obvious things seeing pornography, we're not using certain words 426 00:26:03,080 --> 00:26:07,120 Speaker 2: or swear words, and there are guardrails. However, it appears 427 00:26:07,480 --> 00:26:10,480 Speaker 2: that now suddenly we're all on the web doom scrolling, 428 00:26:10,680 --> 00:26:14,080 Speaker 2: and that doom scrolling is somewhere a serotonin hit and 429 00:26:14,240 --> 00:26:16,960 Speaker 2: makes us feel something for a minute, and little do 430 00:26:17,000 --> 00:26:19,159 Speaker 2: we know, just a few clicks later, we're down the 431 00:26:19,240 --> 00:26:23,399 Speaker 2: darkest rabbit hole that is only reinforcing the darkest hole. 432 00:26:23,680 --> 00:26:25,560 Speaker 2: Now I can't get out of it, and I think 433 00:26:25,600 --> 00:26:28,920 Speaker 2: that's sort of the scary part is the lack of regulation. 434 00:26:31,240 --> 00:26:33,640 Speaker 4: There's none of that on social media. You don't have 435 00:26:33,840 --> 00:26:36,800 Speaker 4: any sense other than the content that's in front of 436 00:26:36,800 --> 00:26:39,480 Speaker 4: you about the background of what the content is being 437 00:26:39,520 --> 00:26:41,880 Speaker 4: pushed to you, who's pushing it, who's paying for, why 438 00:26:41,920 --> 00:26:44,280 Speaker 4: it's being delivered to you. It just is and you're 439 00:26:44,320 --> 00:26:47,320 Speaker 4: just expected to consume it, and that can take you 440 00:26:47,359 --> 00:26:50,280 Speaker 4: to some really dark places. The problem is is that's 441 00:26:50,320 --> 00:26:55,240 Speaker 4: also coupled with this engagement desire by these companies to 442 00:26:55,359 --> 00:26:58,040 Speaker 4: push you content that will inflame you, that will fire 443 00:26:58,160 --> 00:27:02,280 Speaker 4: you up, that ultimately creates anxiety, and it's very possible 444 00:27:02,320 --> 00:27:04,520 Speaker 4: that that's the future, is that you're going to see 445 00:27:04,520 --> 00:27:08,040 Speaker 4: a more extreme version of the content that's been pushed 446 00:27:08,040 --> 00:27:11,159 Speaker 4: to you and a more politically motivated version of the 447 00:27:11,280 --> 00:27:12,399 Speaker 4: content that's been pushed you. 448 00:27:15,680 --> 00:27:18,680 Speaker 1: For more information on the case and relevant photos, follow 449 00:27:18,760 --> 00:27:23,399 Speaker 1: us on Instagram at kt Underscore Studios. In Cells is 450 00:27:23,440 --> 00:27:28,320 Speaker 1: produced by Stephanie Leideger, Gabriel Castillo and me Courtney Armstrong. 451 00:27:28,920 --> 00:27:34,439 Speaker 1: Additional producing by Connor Powell and Caroline Miller, editing by 452 00:27:34,480 --> 00:27:39,800 Speaker 1: Jeff Tooi music by Banicourse Studios. In Cells is a 453 00:27:39,800 --> 00:27:43,800 Speaker 1: production of KAT Studios and iHeart Radio. For more podcasts 454 00:27:43,840 --> 00:27:48,280 Speaker 1: like this, visit the iHeartRadio app, Apple Podcasts, or wherever 455 00:27:48,320 --> 00:27:50,119 Speaker 1: you listen to your favorite shows.