1 00:00:01,840 --> 00:00:05,800 Speaker 1: Wrecked him. Damn near killed him. That was the punchline 2 00:00:05,840 --> 00:00:08,600 Speaker 1: to a joke without the rest of the joke, because 3 00:00:08,720 --> 00:00:11,880 Speaker 1: I think we can all put things together now as adults. 4 00:00:12,520 --> 00:00:16,680 Speaker 1: I'm Robert Evans. Yeah, hi, Jamie, this is behind the Bastards. 5 00:00:16,760 --> 00:00:20,400 Speaker 1: We talk about bad people on this podcast. Um. And 6 00:00:20,480 --> 00:00:22,640 Speaker 1: that was a little a little bit of levity at 7 00:00:22,640 --> 00:00:25,440 Speaker 1: the start of it before we get into depressing ship again. 8 00:00:25,640 --> 00:00:30,400 Speaker 1: Some abstract levity, some abstract levity. Yeah, pieces of levity 9 00:00:30,440 --> 00:00:35,880 Speaker 1: that one can assemble into comedy. Um. Yeah, very nice. Yeah, 10 00:00:35,920 --> 00:00:38,560 Speaker 1: I mean comedy. You know, it is just a series 11 00:00:38,600 --> 00:00:40,400 Speaker 1: of things that you put in the correct order. It's 12 00:00:40,440 --> 00:00:43,199 Speaker 1: like a deconstruction of comedy, like when people take up 13 00:00:43,200 --> 00:00:45,080 Speaker 1: part of sandwich and then serve it on a plane 14 00:00:45,080 --> 00:00:47,400 Speaker 1: in a fancy restaurant. I gotta be on it. Anytime 15 00:00:47,440 --> 00:00:50,440 Speaker 1: someone says it's a deconstruction of comedy, it's the least 16 00:00:50,520 --> 00:00:53,239 Speaker 1: funniest ship you'll ever hear in your entire life. Like 17 00:00:53,520 --> 00:00:57,320 Speaker 1: he's deconstructing the medium, and it's usually just like some 18 00:00:57,320 --> 00:01:02,640 Speaker 1: some guy. It's yeah, some guy. Yeah, it's never any good, 19 00:01:02,680 --> 00:01:07,119 Speaker 1: but you know it is good. Jamie, what Facebook's peanut butter? 20 00:01:07,680 --> 00:01:11,280 Speaker 1: I was like, this can't be a transition to Mark Zuckerberg, No, 21 00:01:11,360 --> 00:01:15,000 Speaker 1: because nothing about him. Just talked about this delicious lunch 22 00:01:15,040 --> 00:01:17,760 Speaker 1: he had as I eat, I had a great lunch 23 00:01:17,840 --> 00:01:20,880 Speaker 1: and I'm eating a peanut butter and you know what, 24 00:01:21,200 --> 00:01:25,200 Speaker 1: I'm content, Sophie is eating peanut butter. I ate a 25 00:01:25,200 --> 00:01:31,559 Speaker 1: delicious lunch, love for you, had a couple of chips, 26 00:01:32,160 --> 00:01:35,880 Speaker 1: and most important, most important, we're all going to get 27 00:01:35,920 --> 00:01:38,920 Speaker 1: back to my favorite thing to do with my good 28 00:01:38,920 --> 00:01:44,119 Speaker 1: friend Jamie Loftus, which is talk about the extensive crimes 29 00:01:44,200 --> 00:01:47,880 Speaker 1: of Mark Zuckerberg. Oh yes, I changed shirts between episodes. 30 00:01:48,000 --> 00:01:50,400 Speaker 1: Roberts and I have a little Marquis with me. Yeah 31 00:01:50,480 --> 00:01:53,640 Speaker 1: you do, You've got your your your Marquez shirt. Yeah, 32 00:01:53,720 --> 00:01:56,840 Speaker 1: my favorite, my favorite Mark quote that you can't you 33 00:01:56,880 --> 00:01:59,360 Speaker 1: can be unethical and still be legal. That's the way 34 00:01:59,400 --> 00:02:05,520 Speaker 1: I live my life. Ha ha. It is amazing. And 35 00:02:05,640 --> 00:02:09,200 Speaker 1: he really, I mean there's been a lot said about him, 36 00:02:09,280 --> 00:02:11,720 Speaker 1: but the man sticks to his guns. He lives by 37 00:02:11,760 --> 00:02:15,400 Speaker 1: this credo to this very day. Yeah. Yeah, yeah, you 38 00:02:15,440 --> 00:02:19,080 Speaker 1: know who else sticks to their guns? Jamie whom the 39 00:02:19,120 --> 00:02:24,560 Speaker 1: death squads of the various dictatorial political candidates who use 40 00:02:24,680 --> 00:02:28,160 Speaker 1: Facebook to crush opposition and insight race riots. That was 41 00:02:28,200 --> 00:02:33,040 Speaker 1: a transition. That was a transition. So Jamie, all right, 42 00:02:33,080 --> 00:02:34,959 Speaker 1: I'm gonna start. It's time to start the episode, and 43 00:02:35,320 --> 00:02:36,720 Speaker 1: gonna start with a little bit of a little bit, 44 00:02:36,760 --> 00:02:39,960 Speaker 1: little well bit of an essay here. So once, once 45 00:02:40,000 --> 00:02:42,280 Speaker 1: upon a decade or so ago, I had the fortune 46 00:02:42,320 --> 00:02:45,200 Speaker 1: to to visit the ruins of a vast Mayan city 47 00:02:45,240 --> 00:02:48,840 Speaker 1: in guatemality call Um. And the scale of the architecture 48 00:02:48,880 --> 00:02:50,639 Speaker 1: there was astonishing. If you ever get the chance to 49 00:02:50,720 --> 00:02:53,000 Speaker 1: visit one of these cities, you know, in Guatemala or 50 00:02:53,000 --> 00:02:58,200 Speaker 1: in mexicoever really worth the experience. Um, Just again, the 51 00:02:58,280 --> 00:03:01,680 Speaker 1: size of everything you see, the the the precision of 52 00:03:01,720 --> 00:03:04,840 Speaker 1: the stonework. Um, it's just amazing. And one of the 53 00:03:04,840 --> 00:03:07,079 Speaker 1: things that was most kind of stirring about it was 54 00:03:07,120 --> 00:03:09,440 Speaker 1: the fact that everything that surrounded it was just hundreds 55 00:03:09,440 --> 00:03:12,600 Speaker 1: and hundreds of miles of dense, howling jungle. UM. So 56 00:03:12,680 --> 00:03:14,680 Speaker 1: I spent like an afternoon there and I got to 57 00:03:14,720 --> 00:03:17,440 Speaker 1: sit on top of one of these giant temple pyramids, 58 00:03:17,880 --> 00:03:20,400 Speaker 1: drinking a one lead bottle of guy O beer and 59 00:03:20,480 --> 00:03:23,200 Speaker 1: staring out over the jungle canopy and just kind of 60 00:03:23,280 --> 00:03:26,840 Speaker 1: marveling at the weight of human ingenuity and dedication necessary 61 00:03:26,880 --> 00:03:29,919 Speaker 1: to build a place like that sounds metaphorical, and while 62 00:03:29,960 --> 00:03:32,480 Speaker 1: I was there, Jamie, I thought about what had killed 63 00:03:32,680 --> 00:03:35,520 Speaker 1: this great city and the empire that built it, Because 64 00:03:35,560 --> 00:03:37,960 Speaker 1: a couple of years earlier, really not all that long 65 00:03:38,000 --> 00:03:41,360 Speaker 1: before I visited, theories had started to circulate within the 66 00:03:41,400 --> 00:03:44,200 Speaker 1: academic community that the Mayans had, in the words of 67 00:03:44,200 --> 00:03:46,720 Speaker 1: a NASA article in this subject in two thousand nine, 68 00:03:47,280 --> 00:03:51,240 Speaker 1: killed themselves through a combination of massy forestation in human 69 00:03:51,280 --> 00:03:55,320 Speaker 1: induced climate change. A year after my visit, the first 70 00:03:55,400 --> 00:03:57,840 Speaker 1: study on the matter was published in Proceedings of the 71 00:03:57,920 --> 00:04:00,400 Speaker 1: National Academy of Sciences. I'm gonna call to hear from 72 00:04:00,400 --> 00:04:06,080 Speaker 1: the Smithsonian magazine. Researchers from Arizona State University analyzed archaeological 73 00:04:06,200 --> 00:04:09,560 Speaker 1: data from across the Yucatan to reach a better understanding 74 00:04:09,560 --> 00:04:12,680 Speaker 1: of the environmental conditions when the area was abandoned around 75 00:04:12,760 --> 00:04:16,040 Speaker 1: this time. They found severe reductions in rainfall were coupled 76 00:04:16,040 --> 00:04:19,960 Speaker 1: within a rapid rate of deforestation as the Mayans burned 77 00:04:19,960 --> 00:04:22,560 Speaker 1: and shopped down more and more forests to clear land 78 00:04:22,560 --> 00:04:27,120 Speaker 1: for agriculture. Interestingly, they also required massive amounts of wood 79 00:04:27,120 --> 00:04:29,640 Speaker 1: to fuel the fires that cooked the lime plaster for 80 00:04:29,680 --> 00:04:34,000 Speaker 1: their elaborate constructions, Experts estimated would have taken twenty trees 81 00:04:34,040 --> 00:04:37,599 Speaker 1: to produce a single square meter of city escape. So, 82 00:04:37,640 --> 00:04:41,920 Speaker 1: in other words, the Mayans grew themselves to death, turning 83 00:04:41,920 --> 00:04:44,479 Speaker 1: the forests that fed them into deserts, all in the 84 00:04:44,520 --> 00:04:48,360 Speaker 1: pursuit of expansion. It's a story that brings to mind 85 00:04:48,480 --> 00:04:52,680 Speaker 1: a quote from the great historian Tacitus writing about Augustus 86 00:04:52,680 --> 00:04:59,160 Speaker 1: Caesar and men like him solitudinum faciunt pack him appellante. 87 00:04:59,760 --> 00:05:03,039 Speaker 1: They make a desert and call it peace. That's what 88 00:05:03,080 --> 00:05:05,760 Speaker 1: he's saying about Augustus Caesar and the Emperor's like him. 89 00:05:05,760 --> 00:05:09,600 Speaker 1: They make a desert and call it peace. That's That's 90 00:05:09,600 --> 00:05:13,320 Speaker 1: one of those Sun dial phrases. I think a more 91 00:05:13,360 --> 00:05:16,920 Speaker 1: accurate summation of the two hundred years of peace that 92 00:05:17,000 --> 00:05:20,760 Speaker 1: Augustus Caesar created than than what Mark put out. They 93 00:05:20,800 --> 00:05:24,200 Speaker 1: make a desert and call it peace. Now, I read 94 00:05:24,240 --> 00:05:26,040 Speaker 1: that quote for the first time as a Latin student 95 00:05:26,040 --> 00:05:28,239 Speaker 1: in high school, and I saw it referenced in relation 96 00:05:28,279 --> 00:05:30,840 Speaker 1: to Mark Zuckerberg in a Guardian article covering that New 97 00:05:30,920 --> 00:05:34,120 Speaker 1: Yorker piece. We quoted from last episode and the title 98 00:05:34,200 --> 00:05:37,760 Speaker 1: of that New Yorker article was, can Mark Zuckerberg fixed 99 00:05:37,800 --> 00:05:43,400 Speaker 1: Facebook before it breaks democracy? So democracy a free and 100 00:05:43,440 --> 00:05:47,480 Speaker 1: open society where numerous viewpoints are tolerated, cultural experimentation is possible, 101 00:05:47,520 --> 00:05:50,160 Speaker 1: and evolution is encouraged. These are the things that have 102 00:05:50,240 --> 00:05:53,279 Speaker 1: made Facebook success possible. It could not have come about 103 00:05:53,320 --> 00:05:57,480 Speaker 1: without them, um, and outside of a culture that embodies 104 00:05:57,520 --> 00:06:00,840 Speaker 1: those values. And now that Facebook's member count is closing 105 00:06:00,839 --> 00:06:03,520 Speaker 1: in at three billion, the social network is doing what 106 00:06:03,600 --> 00:06:07,240 Speaker 1: all empires do. It's turning the fertile soil that birthed 107 00:06:07,240 --> 00:06:10,920 Speaker 1: it into a desert. And as it was with the Mayans, 108 00:06:10,960 --> 00:06:13,440 Speaker 1: all of this is being done in the name of growth. 109 00:06:14,800 --> 00:06:18,440 Speaker 1: Katherine Lois was an early Facebook employee and Mark Zuckerberg 110 00:06:18,520 --> 00:06:22,359 Speaker 1: speech writer for a time. In her memoire The Boy Kings, 111 00:06:22,480 --> 00:06:26,840 Speaker 1: which is what you call it, sigured, I don't know 112 00:06:26,920 --> 00:06:30,039 Speaker 1: that's a good title, um, she lays out what she 113 00:06:30,120 --> 00:06:35,360 Speaker 1: saw as the engineering ideology of Facebook. Quote, scaling and 114 00:06:35,400 --> 00:06:40,560 Speaker 1: growth are everything. Individuals and their experiences are secondary to 115 00:06:40,640 --> 00:06:46,400 Speaker 1: what is necessary to maximize the system. Mark Zuckerberg and 116 00:06:46,440 --> 00:06:49,200 Speaker 1: thus Facebook have held a very consistent line since day 117 00:06:49,240 --> 00:06:51,479 Speaker 1: one of the company operating as an actual business, and 118 00:06:51,520 --> 00:06:54,440 Speaker 1: that Lion is that Facebook's goal is to connect people, 119 00:06:55,080 --> 00:06:57,760 Speaker 1: but this was and always has been a lie. The 120 00:06:57,880 --> 00:07:02,640 Speaker 1: goal is growth, growth at the cost. In two thousand seven, 121 00:07:02,720 --> 00:07:06,560 Speaker 1: Facebook's growth leveled off at around fifty million users. At 122 00:07:06,600 --> 00:07:08,960 Speaker 1: the time, this was not unusual for social networks, and 123 00:07:09,000 --> 00:07:11,040 Speaker 1: it seemed to be something of a built in natural 124 00:07:11,120 --> 00:07:13,360 Speaker 1: growth limit, Like maybe fifty million is about as much 125 00:07:13,360 --> 00:07:16,200 Speaker 1: as a social network can get unless you really start 126 00:07:16,280 --> 00:07:21,720 Speaker 1: jinking the results um and fifty million users. That's a 127 00:07:21,800 --> 00:07:24,000 Speaker 1: very successful business. You can be a very rich person 128 00:07:24,040 --> 00:07:26,840 Speaker 1: operating a business. You can call it a day. That's 129 00:07:26,840 --> 00:07:29,720 Speaker 1: a great thing to accomplish. My Space Tom was thrilled 130 00:07:29,760 --> 00:07:34,080 Speaker 1: with that. Yeah, my God, blessed Tom. Space Tom is 131 00:07:34,160 --> 00:07:38,960 Speaker 1: now who hasn't done a goddamn problematic thing traveling the 132 00:07:39,000 --> 00:07:42,200 Speaker 1: world now taking photographs of of of the world that 133 00:07:42,240 --> 00:07:45,720 Speaker 1: Mark Zuckerberg is destroying. I mean, he might be the 134 00:07:45,760 --> 00:07:48,840 Speaker 1: only person worth hundreds of millions of dollars that I'm 135 00:07:48,880 --> 00:07:52,679 Speaker 1: fine with not taking the money back, right, Like, let Tom, 136 00:07:52,720 --> 00:07:55,200 Speaker 1: You're fine, Like go keep doing your things, use the 137 00:07:55,280 --> 00:07:57,800 Speaker 1: money to be boring. It feels like he is just 138 00:07:57,960 --> 00:08:01,000 Speaker 1: used his fortune to be boring. What is I remember 139 00:08:01,000 --> 00:08:03,040 Speaker 1: it took like five months for me to get my 140 00:08:03,040 --> 00:08:06,760 Speaker 1: my space to lead. So I don't remember anything about 141 00:08:06,800 --> 00:08:09,560 Speaker 1: my space. That's my favorite thing about my space is 142 00:08:09,600 --> 00:08:12,240 Speaker 1: I've forgotten everything about it but the name my space. 143 00:08:12,320 --> 00:08:15,920 Speaker 1: Oh for sure my space was not good. But did 144 00:08:15,960 --> 00:08:18,440 Speaker 1: I learn about a lot of goth music on it? 145 00:08:19,280 --> 00:08:22,000 Speaker 1: Now I'm the middle school anchst from not being in 146 00:08:22,120 --> 00:08:25,960 Speaker 1: somebody's top aid. But oh my god, PC four PC, 147 00:08:26,120 --> 00:08:29,400 Speaker 1: I did a lot of PC that I'm my friend, 148 00:08:29,480 --> 00:08:34,240 Speaker 1: you are so pretty PC four PC, And you know what, 149 00:08:34,520 --> 00:08:38,120 Speaker 1: you know what? No one used my space for Jetta's 150 00:08:38,160 --> 00:08:41,320 Speaker 1: side that organizing militia's to show up at the side 151 00:08:41,320 --> 00:08:45,679 Speaker 1: of protests and shoot Black Lives Matter activists was not 152 00:08:45,840 --> 00:08:48,959 Speaker 1: done with with with my space, and I suspect Tom 153 00:08:48,960 --> 00:08:51,920 Speaker 1: would have had an issue if it had been. I think, so, 154 00:08:52,320 --> 00:08:54,280 Speaker 1: I well, I don't well, I I don't know about 155 00:08:54,360 --> 00:08:57,760 Speaker 1: Tom's but the fact that he's kept his fucking mouth 156 00:08:57,800 --> 00:09:00,400 Speaker 1: shut since getting rich and going off to do whatever 157 00:09:00,440 --> 00:09:03,120 Speaker 1: he does makes me suspect that he's a reasonable man. 158 00:09:03,520 --> 00:09:07,360 Speaker 1: So Facebook hits this growth limit and it and it 159 00:09:07,360 --> 00:09:09,920 Speaker 1: it kind of levels off a bit um And again, 160 00:09:09,920 --> 00:09:12,120 Speaker 1: it's a very successful business in two thousand seven, but 161 00:09:12,120 --> 00:09:14,360 Speaker 1: it's not an empire, and that's what Mark wanted. That's 162 00:09:14,400 --> 00:09:16,920 Speaker 1: the only thing Mark has ever wanted um in his 163 00:09:17,120 --> 00:09:20,360 Speaker 1: entire life. And so he ordered the creation of what 164 00:09:20,440 --> 00:09:24,520 Speaker 1: he called a growth team, dedicated to putting Facebook back 165 00:09:24,520 --> 00:09:27,000 Speaker 1: on the path to expansion, no matter what it took. 166 00:09:27,760 --> 00:09:30,520 Speaker 1: So the Growth team quickly came to include the very 167 00:09:30,559 --> 00:09:33,440 Speaker 1: best minds in the company, who started applying their intellect 168 00:09:33,520 --> 00:09:36,640 Speaker 1: and ingenuity to this task. One solution they found was 169 00:09:36,679 --> 00:09:40,160 Speaker 1: to expand Facebook to users who spoke other languages. And 170 00:09:40,160 --> 00:09:42,520 Speaker 1: this is what began. We talked about last episode, the 171 00:09:42,559 --> 00:09:46,040 Speaker 1: company's heedless growth into foreign markets. Obviously, at no point 172 00:09:46,080 --> 00:09:49,040 Speaker 1: did anyone care or even consider what impact Facebook might 173 00:09:49,080 --> 00:09:52,680 Speaker 1: have on those places. Yeah, I'm gonna quote from The 174 00:09:52,679 --> 00:09:55,600 Speaker 1: New Yorker again. Alex Schultz, a founding member of the 175 00:09:55,640 --> 00:09:58,120 Speaker 1: growth team, said that he and his colleagues were fanatical 176 00:09:58,200 --> 00:10:01,560 Speaker 1: in their pursuit of expansion. You will fight for that inch, 177 00:10:01,679 --> 00:10:05,440 Speaker 1: Alex said, You will die for that inch. Facebook left 178 00:10:05,480 --> 00:10:09,240 Speaker 1: no opportunity untapped. In two thousand eleven, the company asked 179 00:10:09,240 --> 00:10:12,760 Speaker 1: the Federal Election Commission for an exemption to rules requiring 180 00:10:12,800 --> 00:10:15,720 Speaker 1: the source of funding for political ads to be disclosed 181 00:10:16,000 --> 00:10:19,800 Speaker 1: and filings a Facebook lawyer argued that the agency should 182 00:10:19,840 --> 00:10:24,079 Speaker 1: not stand in the way of innovation. Oh okay, it 183 00:10:24,120 --> 00:10:28,160 Speaker 1: doesn't seem like an innovation to me, real loose interpretation 184 00:10:28,200 --> 00:10:31,120 Speaker 1: of the word. You know, I get this to an extent. 185 00:10:31,240 --> 00:10:34,560 Speaker 1: So the other day I was drunk driving my Forerunner, 186 00:10:34,800 --> 00:10:37,319 Speaker 1: UM and I was I was, I was shooting at 187 00:10:37,320 --> 00:10:39,679 Speaker 1: some targets I'd set up in the trees and the 188 00:10:39,760 --> 00:10:42,480 Speaker 1: people in the neighborhood. I was doing this and said, oh, 189 00:10:42,559 --> 00:10:46,120 Speaker 1: for the love of God, you're you're please, you're endangering 190 00:10:46,120 --> 00:10:50,280 Speaker 1: all of our lives. Um, And I said, you're standing 191 00:10:50,280 --> 00:10:54,320 Speaker 1: in the way of innovation because I was innovating what 192 00:10:54,400 --> 00:10:57,160 Speaker 1: you can do drunk in a Forerunner with a kalashnikov, 193 00:10:57,400 --> 00:11:01,320 Speaker 1: and they got in the way of that. I understand 194 00:11:01,360 --> 00:11:04,040 Speaker 1: that I have to really heat up a pan and 195 00:11:04,080 --> 00:11:06,640 Speaker 1: put it on someone's face just to innovate the art 196 00:11:06,640 --> 00:11:12,200 Speaker 1: of what you you innovate their skins. Yeah, and and really, 197 00:11:12,200 --> 00:11:14,160 Speaker 1: people standing in the way of that innovation. Am I 198 00:11:14,160 --> 00:11:17,800 Speaker 1: supposed to make progress in hurting people's faces? Yeah? I'm 199 00:11:17,840 --> 00:11:20,400 Speaker 1: a fan of how Polpod innovated the capital city of 200 00:11:20,480 --> 00:11:23,080 Speaker 1: Cambodia by forcing everyone out of it and then killing 201 00:11:23,160 --> 00:11:26,960 Speaker 1: hundreds of thousands of just it's just it's innovative. The 202 00:11:27,040 --> 00:11:31,880 Speaker 1: way all of this is just horrific and like, I 203 00:11:31,920 --> 00:11:34,440 Speaker 1: don't know, like I'm talking about something else, but it's 204 00:11:34,480 --> 00:11:38,040 Speaker 1: like the language of Silicon Valley applied to the two 205 00:11:38,160 --> 00:11:43,360 Speaker 1: genocidal situations is just so it makes my fucking I mean, 206 00:11:43,400 --> 00:11:46,000 Speaker 1: I'm just peeled all my skin off. You have to 207 00:11:46,160 --> 00:11:48,440 Speaker 1: you have to agree that Hitler was an innovator. He 208 00:11:48,520 --> 00:11:52,240 Speaker 1: innovated so many things. He really did change. He changed 209 00:11:52,360 --> 00:11:56,200 Speaker 1: the game. Yeah, he absolutely changed the narrative from there 210 00:11:56,240 --> 00:11:58,360 Speaker 1: not being a war in Europe to there being a 211 00:11:58,360 --> 00:12:03,000 Speaker 1: war in Europe. That's called disrupting, Honey. He didn't disrupt it. 212 00:12:03,400 --> 00:12:06,640 Speaker 1: He disrupted the ship out of the Polish government. Oh 213 00:12:06,720 --> 00:12:17,880 Speaker 1: my god, doing this dinner wrong. So Sandy Parakilis, who 214 00:12:17,960 --> 00:12:20,840 Speaker 1: joined Facebook in two thousand and eleven as an operations manager, 215 00:12:21,160 --> 00:12:25,160 Speaker 1: paraphrase the message of the orientation session he received as 216 00:12:25,640 --> 00:12:31,520 Speaker 1: we believe in the religion of growth. Um, the religion 217 00:12:31,559 --> 00:12:33,480 Speaker 1: of growth is what he was told when he joined 218 00:12:33,480 --> 00:12:36,640 Speaker 1: the company. That's what it was called him not only horrifying, 219 00:12:36,840 --> 00:12:39,240 Speaker 1: but like, what could you sound like a more of 220 00:12:39,280 --> 00:12:46,680 Speaker 1: a sniveling loser? Okay, he said quote the growth team 221 00:12:46,720 --> 00:12:49,040 Speaker 1: was the Cure was the coolest. Other teams would even 222 00:12:49,040 --> 00:12:52,400 Speaker 1: try to call subgroups within their teams the growth X 223 00:12:52,520 --> 00:12:55,960 Speaker 1: or the Growth Y to try and get people excited. Um. 224 00:12:56,080 --> 00:12:59,200 Speaker 1: And in the end, Facebook's finest minds decided that the 225 00:12:59,280 --> 00:13:06,880 Speaker 1: best way they could I know, I know, yeah, I'm excited. 226 00:13:07,120 --> 00:13:10,239 Speaker 1: I'm a horny, I'm ready to go. I mean with 227 00:13:10,240 --> 00:13:13,719 Speaker 1: with that kind of narrative. I love to hear it. 228 00:13:14,000 --> 00:13:16,160 Speaker 1: I love you do love to hear it. So in 229 00:13:16,240 --> 00:13:19,280 Speaker 1: the end, Facebook's finest minds decided the best way they 230 00:13:19,280 --> 00:13:21,800 Speaker 1: could further the great god of growth was too for 231 00:13:21,880 --> 00:13:25,480 Speaker 1: Facebook to become a platform for outside developers. Um that 232 00:13:25,559 --> 00:13:28,199 Speaker 1: this was the way to really really get things going again. 233 00:13:28,400 --> 00:13:30,560 Speaker 1: And you will remember the start of this period when 234 00:13:30,559 --> 00:13:33,600 Speaker 1: Facebook made this change. This is when like what had 235 00:13:33,640 --> 00:13:36,880 Speaker 1: once been a pretty straightforward service for keeping up with 236 00:13:36,880 --> 00:13:39,680 Speaker 1: your friends from college was suddenly flooded with games like 237 00:13:39,720 --> 00:13:42,839 Speaker 1: Farmville and a bunch of like personality tests and ship 238 00:13:42,880 --> 00:13:46,800 Speaker 1: that period of time, the mom's fucking drone struck Facebook 239 00:13:46,880 --> 00:13:51,160 Speaker 1: by coming down with Farmville, sending you five trillion invitations, 240 00:13:51,679 --> 00:13:56,520 Speaker 1: leaving your like high school choir concert to go harvest strawberries. Yeah, 241 00:13:56,559 --> 00:13:59,720 Speaker 1: I'm making a bunch of fucking money for Facebook. Whatever 242 00:14:00,080 --> 00:14:02,600 Speaker 1: rance these apps took. Their main purpose was the same, 243 00:14:02,640 --> 00:14:04,839 Speaker 1: which was to hoover up all of your personal data 244 00:14:04,880 --> 00:14:07,839 Speaker 1: and sell it for profit. Yeah. I've given her a 245 00:14:07,880 --> 00:14:11,680 Speaker 1: social security number to the Farmville and that's just a fact. Yeah. 246 00:14:11,760 --> 00:14:13,840 Speaker 1: And the only person you should give your social security 247 00:14:13,920 --> 00:14:17,800 Speaker 1: number two is me. I do encourage all all of 248 00:14:17,840 --> 00:14:21,160 Speaker 1: our listeners to find my email, um and just just 249 00:14:21,320 --> 00:14:24,080 Speaker 1: email me your social uh yeah, just to just do 250 00:14:24,120 --> 00:14:27,240 Speaker 1: your tips line. Yeah. Yeah, it's like it's like that 251 00:14:27,480 --> 00:14:29,760 Speaker 1: you like that thing from that that documentary about Keith 252 00:14:29,800 --> 00:14:32,120 Speaker 1: Ranieri who also did episodes on the vow. It's your 253 00:14:32,120 --> 00:14:35,520 Speaker 1: collaterals and me your social security number, so I'll know 254 00:14:35,600 --> 00:14:40,840 Speaker 1: that you really care. Um. Yeah. So Facebook's employees kind 255 00:14:40,840 --> 00:14:43,440 Speaker 1: of realized very quickly after this change was made and 256 00:14:43,480 --> 00:14:46,960 Speaker 1: these developers start flooding the service with all of their 257 00:14:47,000 --> 00:14:50,520 Speaker 1: ship um that the company's new partners were engaged in 258 00:14:50,600 --> 00:14:53,520 Speaker 1: some really shady behavior. One worker who was put in 259 00:14:53,600 --> 00:14:55,600 Speaker 1: charge of a team order to make sure developers weren't 260 00:14:55,760 --> 00:14:58,280 Speaker 1: using user data immediately found out that they were. And 261 00:14:58,320 --> 00:15:00,680 Speaker 1: I'm gonna quote again from the new Yorker. Here, some 262 00:15:00,760 --> 00:15:03,960 Speaker 1: games were siphoning off users messages and photographs. In one case, 263 00:15:03,960 --> 00:15:08,040 Speaker 1: he said, a developer was harvesting user information, including that 264 00:15:08,120 --> 00:15:11,360 Speaker 1: of children, to create unauthorized profiles on its own website. 265 00:15:11,600 --> 00:15:14,160 Speaker 1: Facebook had given away data before I had a system 266 00:15:14,160 --> 00:15:17,280 Speaker 1: to check for abuse. Peraculis suggested that there be an 267 00:15:17,280 --> 00:15:20,160 Speaker 1: audit to uncover the scale of the problem, but according 268 00:15:20,160 --> 00:15:23,560 Speaker 1: to Paraculus, an executive rejected that idea, telling him, do 269 00:15:23,680 --> 00:15:27,920 Speaker 1: you really want to see what you'll find? No, which 270 00:15:27,960 --> 00:15:30,800 Speaker 1: look I can identify with that too. I recently had 271 00:15:30,800 --> 00:15:33,200 Speaker 1: an issue where I left a bag of potatoes and 272 00:15:33,240 --> 00:15:37,720 Speaker 1: the top counter of my of my kitchen for I 273 00:15:37,720 --> 00:15:40,920 Speaker 1: don't know, somewhere between four and seven months, and when 274 00:15:40,920 --> 00:15:43,160 Speaker 1: I took them I didn't want to. I knew something 275 00:15:43,240 --> 00:15:46,080 Speaker 1: was wrong. I knew something was wrong up there because 276 00:15:46,080 --> 00:15:48,760 Speaker 1: of the flies and the strange smell, but I didn't 277 00:15:48,800 --> 00:15:50,240 Speaker 1: want to look into it because I didn't want to 278 00:15:50,280 --> 00:15:53,160 Speaker 1: see the extent of the problem. And when I finally did, 279 00:15:53,440 --> 00:15:56,080 Speaker 1: I regretted learning what an issue I had made for 280 00:15:56,120 --> 00:16:00,400 Speaker 1: myself and my home. You are really since the last 281 00:16:00,440 --> 00:16:05,240 Speaker 1: BO you've become very prone to a metaphor. I am 282 00:16:05,320 --> 00:16:08,360 Speaker 1: I am a living metaphor. You you are living out 283 00:16:09,600 --> 00:16:13,560 Speaker 1: an innovative. I innovated those potatoes. You distruct those potatoes. 284 00:16:13,560 --> 00:16:17,720 Speaker 1: Works with a family magic. It's okay. We don't need 285 00:16:17,760 --> 00:16:21,200 Speaker 1: to We don't need to talk about what a problem 286 00:16:21,480 --> 00:16:28,240 Speaker 1: my life has become. Um Parakeelis told me the New 287 00:16:28,320 --> 00:16:30,800 Speaker 1: Yorker reporter quote, it was very difficult to get the 288 00:16:30,880 --> 00:16:32,680 Speaker 1: kind of resources that you needed to do a good 289 00:16:32,760 --> 00:16:35,720 Speaker 1: job of ensuring real compliance. Meanwhile, you looked at the 290 00:16:35,720 --> 00:16:38,240 Speaker 1: growth team and they had engineers coming out of their ears. 291 00:16:38,440 --> 00:16:40,920 Speaker 1: All the smartest minds are focused on doing whatever they 292 00:16:41,000 --> 00:16:45,520 Speaker 1: can do to get those growth numbers up. Now, Jamie 293 00:16:45,720 --> 00:16:48,880 Speaker 1: Jamie Loft, I happened to read this quote well. I 294 00:16:48,960 --> 00:16:52,320 Speaker 1: was struggling to work in the midst of unprecedented wildfires 295 00:16:52,360 --> 00:16:55,160 Speaker 1: that devastated a huge amount of the state of Oregon 296 00:16:55,480 --> 00:16:57,680 Speaker 1: um and made our air quality the worst in the 297 00:16:57,720 --> 00:17:00,480 Speaker 1: world for a while. On the very day I read 298 00:17:00,520 --> 00:17:04,800 Speaker 1: that article, four of my friends and journalistic colleagues were 299 00:17:04,840 --> 00:17:07,840 Speaker 1: held and threatened at gunpoint by militiamen who had taken 300 00:17:07,880 --> 00:17:11,159 Speaker 1: to the streets of a town very near Portland in 301 00:17:11,200 --> 00:17:14,840 Speaker 1: the middle of an evacuation. Because viral Facebook memes convinced 302 00:17:14,880 --> 00:17:18,119 Speaker 1: them that Antipho was starting the fires. Around the same 303 00:17:18,160 --> 00:17:21,960 Speaker 1: time that this was happening, that my buddies were getting 304 00:17:22,000 --> 00:17:25,880 Speaker 1: held at gunpoint because they were not white people. Uh, 305 00:17:25,920 --> 00:17:28,879 Speaker 1: and a militia thought that was suspicious. Around that same time, 306 00:17:29,280 --> 00:17:31,960 Speaker 1: a tweet went viral from a Portland resident and a 307 00:17:32,000 --> 00:17:36,399 Speaker 1: former Facebook employee named bo Wrin. She posted a picture 308 00:17:36,400 --> 00:17:38,960 Speaker 1: of the city blotted out by thick, acrid clouds of 309 00:17:39,000 --> 00:17:42,920 Speaker 1: smoke and wrote, my dad sent me this view from 310 00:17:42,920 --> 00:17:46,159 Speaker 1: my childhood room in Portland. It hit me that we 311 00:17:46,240 --> 00:17:49,960 Speaker 1: have been wasting our collective intelligence in tech, optimizing for 312 00:17:50,080 --> 00:17:58,159 Speaker 1: profits and ad clicks. Huhmm, glad you got on the 313 00:17:58,480 --> 00:18:04,520 Speaker 1: on that page. Bow well glad. We I mean sometimes 314 00:18:04,520 --> 00:18:06,760 Speaker 1: it just takes something to put it all in perspective, 315 00:18:06,760 --> 00:18:10,600 Speaker 1: wouldn't you say, like your home burning down? Yeah? Sometimes, 316 00:18:10,600 --> 00:18:15,320 Speaker 1: and the militias minutes from your door. Yes, unfu believable 317 00:18:15,600 --> 00:18:18,640 Speaker 1: militias that organized on Facebook. Yeah, I mean the story 318 00:18:18,680 --> 00:18:23,920 Speaker 1: went pretty viral about it. They weren't harmed, um yes, 319 00:18:24,359 --> 00:18:27,399 Speaker 1: um yeah. The two people I knew best who were 320 00:18:27,440 --> 00:18:30,359 Speaker 1: there were Sergio almost ingined almost In Justin Yao, who 321 00:18:30,400 --> 00:18:33,000 Speaker 1: are both wonderful reporters, But yeah, it was. It was 322 00:18:33,040 --> 00:18:35,480 Speaker 1: not lost on me that I think of the four 323 00:18:35,560 --> 00:18:39,080 Speaker 1: people who were there, three of them were not white people. Um, 324 00:18:39,119 --> 00:18:41,920 Speaker 1: and that some of the white reporters had a much 325 00:18:41,960 --> 00:18:46,680 Speaker 1: easier time. Interesting things about militias you learn? Anyway, Do 326 00:18:46,760 --> 00:18:50,440 Speaker 1: you think it makes you think? Now? I thought that 327 00:18:50,520 --> 00:18:58,359 Speaker 1: quote was interesting? Um. Anyway, opening interesting, disruptive, disruptive, like 328 00:18:58,440 --> 00:19:02,280 Speaker 1: the fires, like malicious. The thing has made me think 329 00:19:02,359 --> 00:19:07,800 Speaker 1: when I could think, Yeah, I threw up in my 330 00:19:08,080 --> 00:19:12,840 Speaker 1: d n mask walking down the street, awesome. Yeah, I've 331 00:19:12,840 --> 00:19:17,560 Speaker 1: been jogging and doing pull ups in a gas mask. Um, 332 00:19:17,880 --> 00:19:20,600 Speaker 1: just half naked in a gas mask in my front 333 00:19:20,680 --> 00:19:24,199 Speaker 1: lawn like a normal person. You're the only person I 334 00:19:24,240 --> 00:19:27,439 Speaker 1: know who would have seen this as a as a 335 00:19:27,480 --> 00:19:31,600 Speaker 1: possible outcome. And for that, Um, for that, I thank 336 00:19:31,640 --> 00:19:35,280 Speaker 1: you and I curse you. Yeah. So anyway, opening Facebook 337 00:19:35,359 --> 00:19:38,359 Speaker 1: up to developers made a shipload of money and membership grew, 338 00:19:38,520 --> 00:19:40,920 Speaker 1: and from Mark's point of view, everything was going great. 339 00:19:41,520 --> 00:19:44,800 Speaker 1: But Catherine Katherine Loss, his speech writer, saw a lot 340 00:19:44,840 --> 00:19:47,160 Speaker 1: of the same problems Parakeelis had seen, and in her 341 00:19:47,160 --> 00:19:50,919 Speaker 1: memoir she writes the idea of providing developers with a 342 00:19:50,960 --> 00:19:55,160 Speaker 1: massive platform for application promotion didn't exactly accord I thought 343 00:19:55,400 --> 00:19:58,560 Speaker 1: with the site state admission of connecting people to me. 344 00:19:59,000 --> 00:20:02,679 Speaker 1: Connection with another a person required intention. They have to 345 00:20:02,840 --> 00:20:05,359 Speaker 1: personally signal that they want to talk to me, and 346 00:20:05,480 --> 00:20:09,880 Speaker 1: vice versa. Platform developers, though, went it human connection from 347 00:20:09,880 --> 00:20:13,520 Speaker 1: a more automated angle. They churned out applications that promised 348 00:20:13,520 --> 00:20:15,080 Speaker 1: to tell you who had a crush on you if 349 00:20:15,119 --> 00:20:17,439 Speaker 1: you would just send an invitation to the application to 350 00:20:17,520 --> 00:20:21,639 Speaker 1: all of your friends. Idea was that after the application 351 00:20:21,680 --> 00:20:23,760 Speaker 1: had a list of your contacts, it would begin the 352 00:20:23,800 --> 00:20:27,320 Speaker 1: automated work of inquiring about people's interests in matching people 353 00:20:27,320 --> 00:20:31,680 Speaker 1: who were interested in each other. Soon, developers didn't even 354 00:20:31,720 --> 00:20:34,960 Speaker 1: ask you if you wanted to send invitations to your friends. 355 00:20:35,000 --> 00:20:38,280 Speaker 1: Simply adding the application would automatically notify all of your 356 00:20:38,320 --> 00:20:40,400 Speaker 1: Facebook friends that you had added it and invite them 357 00:20:40,400 --> 00:20:43,000 Speaker 1: to add it to using each user as a vessel 358 00:20:43,280 --> 00:20:47,159 Speaker 1: through which invitations would flow viral e without the user's consent. 359 00:20:47,600 --> 00:20:50,359 Speaker 1: In this way, users needs for friendship and connection became 360 00:20:50,400 --> 00:20:53,800 Speaker 1: a powerful engine of spam, as it already was with 361 00:20:53,880 --> 00:20:56,240 Speaker 1: email and on the Internet long before Facebook. The same 362 00:20:56,240 --> 00:20:57,879 Speaker 1: will tell you you have a crush on who has 363 00:20:57,880 --> 00:20:59,399 Speaker 1: a crush on you if you just send this email 364 00:20:59,440 --> 00:21:02,240 Speaker 1: to your address book. Ploys were familiar to me from Hopkins, 365 00:21:02,240 --> 00:21:04,879 Speaker 1: when spammers would blank at the entire email server with 366 00:21:04,960 --> 00:21:07,800 Speaker 1: emails in a matter of hours, spread violarly by students 367 00:21:07,800 --> 00:21:10,720 Speaker 1: scullably entering the names of their crushes and their crushes 368 00:21:10,800 --> 00:21:15,639 Speaker 1: email addresses. So this was the face. This was the 369 00:21:15,640 --> 00:21:18,680 Speaker 1: start of Facebook making choices for its users, choices that 370 00:21:18,720 --> 00:21:21,080 Speaker 1: were based on what would be best for the social network, 371 00:21:21,119 --> 00:21:23,160 Speaker 1: which was keeping people on the site for as long 372 00:21:23,200 --> 00:21:27,200 Speaker 1: as possible. The growth teams saw that proactively connecting people 373 00:21:27,240 --> 00:21:30,680 Speaker 1: to each other worked out really well for Facebook's bottom line, 374 00:21:30,720 --> 00:21:34,040 Speaker 1: even though sometimes, for example, people who had been horribly 375 00:21:34,080 --> 00:21:37,320 Speaker 1: abused and raped by their spouses were reconnected to those 376 00:21:37,320 --> 00:21:40,560 Speaker 1: spouses who they were hiding from and had their personal 377 00:21:40,720 --> 00:21:44,600 Speaker 1: data exposed to them, a thing that happened repeatedly. Um 378 00:21:44,680 --> 00:21:47,600 Speaker 1: and still happens repeatedly, you know. But that's a small 379 00:21:47,640 --> 00:21:52,280 Speaker 1: price to pay for growth. For that inch, you gotta 380 00:21:52,320 --> 00:21:55,720 Speaker 1: fight for that And sometimes fighting for that inch means 381 00:21:55,800 --> 00:22:01,800 Speaker 1: connecting abused women to the men who horribly injured them. 382 00:22:02,200 --> 00:22:04,560 Speaker 1: That's like Mark talking to Priscilla when they're trying to 383 00:22:04,560 --> 00:22:06,879 Speaker 1: conceive a child. He's just like, you gotta fight for 384 00:22:07,040 --> 00:22:09,880 Speaker 1: my inch, honey, you gotta fight for it. Oh. Mark 385 00:22:09,960 --> 00:22:13,480 Speaker 1: Zuckerberg is incapable of talking during sex um. He lets 386 00:22:13,480 --> 00:22:16,560 Speaker 1: out a high pitched hum that is only audible to crickets. 387 00:22:17,200 --> 00:22:20,879 Speaker 1: He doesn't. Yeah, he's sort of got a Kendall situation 388 00:22:21,000 --> 00:22:23,320 Speaker 1: going on, whereas he just has a sex lump that 389 00:22:23,400 --> 00:22:27,280 Speaker 1: gets really hot. Yeah. Yeah. She has to actually withdraw 390 00:22:27,440 --> 00:22:31,880 Speaker 1: the semen from inside his sax using a needle. I think, 391 00:22:34,080 --> 00:22:36,719 Speaker 1: actually put in a little a little hold on, hold on, 392 00:22:36,760 --> 00:22:40,720 Speaker 1: hold on, okay, on the subject holding my vomit but 393 00:22:40,880 --> 00:22:43,800 Speaker 1: in a syringe and then suck and then and then 394 00:22:43,840 --> 00:22:45,960 Speaker 1: she just has it. And then she just has it. 395 00:22:46,560 --> 00:22:49,680 Speaker 1: And if you want to have the emotional equivalent of 396 00:22:49,760 --> 00:22:53,919 Speaker 1: Mark Zuckerberg, seem no, that's not that's not fair to 397 00:22:54,000 --> 00:22:58,359 Speaker 1: the products or services. It's not anyway. Here they are vomit. 398 00:23:04,560 --> 00:23:09,040 Speaker 1: We're back, Okay. So in two thousand ten, Facebook launched 399 00:23:09,200 --> 00:23:12,840 Speaker 1: Facebook Groups, which would allow just about anyone to create 400 00:23:12,880 --> 00:23:15,840 Speaker 1: a private wald Off community to discuss just about anything, 401 00:23:16,119 --> 00:23:20,800 Speaker 1: including fascism, white genocide, or the need to gather a 402 00:23:20,840 --> 00:23:23,920 Speaker 1: militia together and use it to kill their political enemies. 403 00:23:24,680 --> 00:23:27,119 Speaker 1: If you're a regular listener of my show, you know 404 00:23:27,280 --> 00:23:29,440 Speaker 1: the next part of this story. From about two thousand 405 00:23:29,480 --> 00:23:31,600 Speaker 1: ten to two thousand and sixteen, the United States saw 406 00:23:31,640 --> 00:23:34,119 Speaker 1: an astonishing leap in the number of active hate groups. 407 00:23:34,400 --> 00:23:37,399 Speaker 1: For some perspective, just from two thousand fifteen to two 408 00:23:37,440 --> 00:23:41,080 Speaker 1: thou twenty, the SPLC estimates there were at increase in 409 00:23:41,119 --> 00:23:44,840 Speaker 1: the number of hate groups nationwide. Um All of this 410 00:23:44,960 --> 00:23:48,680 Speaker 1: growth was mostly spurred on by social media, and Facebook 411 00:23:48,720 --> 00:23:51,480 Speaker 1: was one of the main culprits. And they knew they 412 00:23:51,520 --> 00:23:54,959 Speaker 1: were at two. They didn't admit it openly, but internally 413 00:23:55,040 --> 00:23:58,040 Speaker 1: they were talking about it from pretty early on. And 414 00:23:58,040 --> 00:24:00,160 Speaker 1: I'm gonna quote now from a report in the All 415 00:24:00,200 --> 00:24:04,040 Speaker 1: Street Journal. A two thousand sixteen presentation that names is 416 00:24:04,080 --> 00:24:08,000 Speaker 1: author of Facebook. Researcher and sociologist monocha Ly found extremist 417 00:24:08,000 --> 00:24:10,919 Speaker 1: content thriving and more than one third of large German 418 00:24:10,960 --> 00:24:14,840 Speaker 1: political groups on the platform swamped with racist, conspiracy minded, 419 00:24:14,840 --> 00:24:18,399 Speaker 1: and pro Russian content. The groups were disproportionately influenced by 420 00:24:18,440 --> 00:24:22,679 Speaker 1: a subset of hyperactive users. The presentation notes most of 421 00:24:22,720 --> 00:24:26,400 Speaker 1: them were private or secret. The high number of extremist 422 00:24:26,440 --> 00:24:31,040 Speaker 1: groups was concerning the presentation says worse was Facebook's realization 423 00:24:31,200 --> 00:24:35,200 Speaker 1: that it's algorithms were responsible for their growth. The two 424 00:24:35,240 --> 00:24:40,840 Speaker 1: thousand sixteen presentation says that sixty of all extremist group 425 00:24:41,040 --> 00:24:47,560 Speaker 1: joins are due to our recommendation tools. Yeah, and that 426 00:24:47,720 --> 00:24:50,320 Speaker 1: most of the activity came from the platforms groups you 427 00:24:50,320 --> 00:24:55,520 Speaker 1: should join and discover algorithms from the presentation, are recommendation 428 00:24:55,600 --> 00:24:59,760 Speaker 1: systems grow the problem? Oh okay, Well, I mean as 429 00:24:59,760 --> 00:25:01,880 Speaker 1: long the word grows in the sentence, I think that 430 00:25:01,880 --> 00:25:04,600 Speaker 1: that's good enough. Growth is in there, You're good is 431 00:25:04,640 --> 00:25:07,359 Speaker 1: in there? So really where we're growing and and what 432 00:25:07,440 --> 00:25:10,560 Speaker 1: the consequences are? Not really worried about it. Yeah, It's 433 00:25:10,600 --> 00:25:13,119 Speaker 1: just like when I'm in my Forerunner drunk is shipped 434 00:25:13,160 --> 00:25:15,560 Speaker 1: on mescal and firing a collash to CoV All that 435 00:25:15,720 --> 00:25:19,360 Speaker 1: matters is forward movement. It doesn't matter if that forward 436 00:25:19,400 --> 00:25:23,159 Speaker 1: movement is driving through the trailer that a family lives in. 437 00:25:23,320 --> 00:25:26,719 Speaker 1: What matters is that I'm moving forward and shooting and drunk. 438 00:25:27,200 --> 00:25:33,720 Speaker 1: You're right, thank you? Wow a judgmental statement. I'm innovating 439 00:25:33,960 --> 00:25:37,679 Speaker 1: homeownership there. I mean, this is another example of just 440 00:25:37,800 --> 00:25:41,840 Speaker 1: you know, Facebook innovating people's interests, Like hey, do you 441 00:25:42,400 --> 00:25:44,399 Speaker 1: do you enjoy this? I'm trying to think of the 442 00:25:44,440 --> 00:25:47,119 Speaker 1: old Facebook groups that you used to be able to join, 443 00:25:47,640 --> 00:25:50,040 Speaker 1: like ten years ago, where it would be like science 444 00:25:50,160 --> 00:25:55,480 Speaker 1: is my boyfriend, and it's like enjoy the Smithsonian Institute. 445 00:25:55,640 --> 00:26:00,399 Speaker 1: Like groups would be like Class of two thousand and twell, 446 00:26:00,960 --> 00:26:03,439 Speaker 1: stuff like that. With like early I mean, it's like, 447 00:26:03,600 --> 00:26:06,639 Speaker 1: I mean, obviously very much in the same line of 448 00:26:06,880 --> 00:26:09,639 Speaker 1: algorithmic thinking as YouTube, where it's like, oh, did you 449 00:26:09,760 --> 00:26:14,160 Speaker 1: enjoy this, like collage of Gerard Butler images? How about 450 00:26:14,280 --> 00:26:18,000 Speaker 1: a man sitting at his four runner whispering conspiracy theories 451 00:26:18,040 --> 00:26:22,520 Speaker 1: for three hours on end? Yeah, that's just growth. I 452 00:26:22,560 --> 00:26:25,240 Speaker 1: love growth. I love growth almost as much as I 453 00:26:25,280 --> 00:26:28,119 Speaker 1: love everything that I do. With the Toyota four runner 454 00:26:28,440 --> 00:26:33,000 Speaker 1: um hammered in a trailer park. Yeah, that's that's the 455 00:26:33,040 --> 00:26:38,840 Speaker 1: real is innovating the trailer parks near my house with 456 00:26:38,880 --> 00:26:42,080 Speaker 1: a Toyota and a rifle, just changing the narrative around it, 457 00:26:42,240 --> 00:26:46,840 Speaker 1: changing the narrative around it, um to screaming mainly. So yeah, 458 00:26:47,000 --> 00:26:52,240 Speaker 1: throughout right, So throughout two thousand sixteen, uh, and particularly 459 00:26:52,280 --> 00:26:54,000 Speaker 1: in the wake of the election, a lot of Facebook 460 00:26:54,000 --> 00:26:56,920 Speaker 1: employees began to increasingly express their concerns that the social 461 00:26:56,920 --> 00:26:59,480 Speaker 1: network they were pouring their lives into might be tearing 462 00:26:59,480 --> 00:27:01,640 Speaker 1: the world a right, because again, most of these are 463 00:27:01,720 --> 00:27:04,240 Speaker 1: very nice and intelligent people who don't want to live 464 00:27:04,320 --> 00:27:08,560 Speaker 1: in a planet dominated by nightmarish dictatorships and a complete 465 00:27:08,560 --> 00:27:12,320 Speaker 1: collapse in the understanding of truth that allows, for example, 466 00:27:12,400 --> 00:27:16,119 Speaker 1: viral pandemics to spread long after where they should have spread, 467 00:27:16,160 --> 00:27:19,160 Speaker 1: because people don't have any sort of common conception about 468 00:27:19,160 --> 00:27:22,320 Speaker 1: basic reality UM as a result of the influence of 469 00:27:22,520 --> 00:27:26,240 Speaker 1: social media. They don't like that, they like the people 470 00:27:26,240 --> 00:27:28,919 Speaker 1: who work at Facebook kind of bummed out about contributing 471 00:27:28,960 --> 00:27:32,000 Speaker 1: to that UM. One observer at the time reported to 472 00:27:32,040 --> 00:27:34,600 Speaker 1: The Wall Street Journal, there was this soul searching period 473 00:27:34,640 --> 00:27:37,600 Speaker 1: after these thousand sixteen that seemed to me, this period 474 00:27:37,600 --> 00:27:40,640 Speaker 1: of really sincere, oh man, what if we really did 475 00:27:40,720 --> 00:27:46,520 Speaker 1: mess up the world? And two thousands sixteen? Yeah, yeah, 476 00:27:46,560 --> 00:27:49,399 Speaker 1: I love that We're going from in the forties, like 477 00:27:49,400 --> 00:27:52,800 Speaker 1: like the scientist who does this, who does the same thing, 478 00:27:52,920 --> 00:27:56,240 Speaker 1: going now, I am become death, the destroyer of world 479 00:27:56,720 --> 00:27:59,520 Speaker 1: an appropriate comment for the thing that he had done, 480 00:28:00,200 --> 00:28:04,680 Speaker 1: and then something honestly equivalent in its destructive potential UM. 481 00:28:04,760 --> 00:28:08,080 Speaker 1: But the response this time because everything is tacky. Now, oh, 482 00:28:08,160 --> 00:28:10,080 Speaker 1: what if we messed up the world, we might have 483 00:28:10,119 --> 00:28:17,520 Speaker 1: sucked this up? God, like starting to think we've severely 484 00:28:17,680 --> 00:28:23,560 Speaker 1: fucked up the planet never mind, Like, yeah, this is 485 00:28:23,600 --> 00:28:26,159 Speaker 1: why Aaron Sorkin is still working is because people are 486 00:28:26,160 --> 00:28:30,159 Speaker 1: saying shitty stuff in shitty ways. Yeah, I don't you 487 00:28:30,160 --> 00:28:33,080 Speaker 1: should cut that out history. No, No, let's we connect. 488 00:28:33,119 --> 00:28:36,680 Speaker 1: We should never cut out criticizing histories. Real villain Aaron Sorkin, 489 00:28:38,000 --> 00:28:46,640 Speaker 1: who I call the poll pot of cable television. Yeah. 490 00:28:46,760 --> 00:28:49,680 Speaker 1: This soul searching did not extend to Mark Zuckerberg, who 491 00:28:49,760 --> 00:28:52,360 Speaker 1: after the election gave the order to pour even more 492 00:28:52,400 --> 00:28:56,200 Speaker 1: resources into Facebook groups. Marking that feature out is emblematic 493 00:28:56,280 --> 00:28:58,360 Speaker 1: of what he saw is the future of his sight. 494 00:28:58,800 --> 00:29:01,600 Speaker 1: He wrote a six thousand and word manifesto in two 495 00:29:01,600 --> 00:29:05,840 Speaker 1: thousand seventeen which admitted to playing some role in the 496 00:29:05,920 --> 00:29:09,320 Speaker 1: disinformation in bigotry flooding the body politics. So he's like, yeah, 497 00:29:09,400 --> 00:29:11,920 Speaker 1: we did, we had we had something to do with it. Um. 498 00:29:12,000 --> 00:29:14,440 Speaker 1: He also claimed that Facebook was going to start fighting 499 00:29:14,440 --> 00:29:19,400 Speaker 1: against this by fostering safe in meaningful communities. From CNBC quote, 500 00:29:19,880 --> 00:29:22,200 Speaker 1: Zuckerberg noted that more than a hundred million users were 501 00:29:22,200 --> 00:29:24,800 Speaker 1: members of very meaningful Facebook groups, but he said that 502 00:29:24,840 --> 00:29:27,440 Speaker 1: most people don't seek out groups on their own. There 503 00:29:27,520 --> 00:29:29,600 Speaker 1: is a real opportunity to connect more of us with 504 00:29:29,640 --> 00:29:32,920 Speaker 1: groups that will be meaningful social infrastructure in our lives. 505 00:29:33,160 --> 00:29:35,520 Speaker 1: Zuckerberg wrote at the time, if we can improve our 506 00:29:35,520 --> 00:29:38,760 Speaker 1: suggestions and help connect one billion people with meaningful communities, 507 00:29:38,920 --> 00:29:42,880 Speaker 1: that can strengthen our social fabric. Since then, fascinating use 508 00:29:42,920 --> 00:29:49,240 Speaker 1: of the word meaningful, meaningful, meaningful, meaningful. What happened next 509 00:29:49,360 --> 00:29:54,520 Speaker 1: was terrible and predictable and meaningful, Jamie, very meaningful. A 510 00:29:54,560 --> 00:29:57,320 Speaker 1: flood of new users got introduced and even pushed into 511 00:29:57,360 --> 00:30:01,120 Speaker 1: extremist groups on Facebook that changes are consisted upon have 512 00:30:01,200 --> 00:30:03,200 Speaker 1: been critical to the growth of q and on, which 513 00:30:03,240 --> 00:30:05,280 Speaker 1: was able to break containment from the weird parts of 514 00:30:05,280 --> 00:30:07,400 Speaker 1: the Internet and start infecting the minds of our aunts 515 00:30:07,400 --> 00:30:10,880 Speaker 1: and uncles, thanks mostly to Facebook, which took no action 516 00:30:10,920 --> 00:30:14,840 Speaker 1: against it until like a month or two ago. Within 517 00:30:14,920 --> 00:30:18,160 Speaker 1: two years, Facebook hosted thousands of q and on pages 518 00:30:18,160 --> 00:30:21,840 Speaker 1: with tens of millions of collective members. I'm gonna quote 519 00:30:21,880 --> 00:30:25,040 Speaker 1: now from an NBC News investigation on the matter. Facebook 520 00:30:25,040 --> 00:30:26,920 Speaker 1: has been key to q and On's growth, in large 521 00:30:26,920 --> 00:30:29,320 Speaker 1: part due to the platform's groups feature, which is also 522 00:30:29,360 --> 00:30:32,000 Speaker 1: seen a significant uptick in use since the social network 523 00:30:32,040 --> 00:30:35,560 Speaker 1: began emphasizing it in two thousands seventeen. There are tens 524 00:30:35,560 --> 00:30:38,520 Speaker 1: of millions of active groups, a Facebook spokesperson told NBC 525 00:30:38,560 --> 00:30:41,200 Speaker 1: News in two thousand nineteen, a number that has probably 526 00:30:41,240 --> 00:30:44,000 Speaker 1: grown since the company began serving up group group posts 527 00:30:44,000 --> 00:30:46,880 Speaker 1: in the user's main feeds. Well. Most groups are dedicated 528 00:30:46,920 --> 00:30:50,280 Speaker 1: to innocuous content. Extremists from q and on conspiracy theorists 529 00:30:50,280 --> 00:30:53,360 Speaker 1: to anti vaccination advocates have also used the group's feature 530 00:30:53,360 --> 00:30:56,880 Speaker 1: to grow their audiences and spread misinformation. Facebook aided that 531 00:30:56,920 --> 00:30:59,680 Speaker 1: growth with it with its recommendations feature, powered by a 532 00:30:59,720 --> 00:31:02,880 Speaker 1: c great algorithm that suggests groups to users seemingly based 533 00:31:02,920 --> 00:31:08,360 Speaker 1: on interest and existing group membership and growth and growth. Yeah, 534 00:31:08,480 --> 00:31:11,400 Speaker 1: it's funny. There's one of the things I like about 535 00:31:11,440 --> 00:31:14,800 Speaker 1: this NBC report, which is partly authored by Brandy's at Rosne, 536 00:31:14,840 --> 00:31:16,680 Speaker 1: who has done a lot of great work on this subject, 537 00:31:17,120 --> 00:31:21,160 Speaker 1: um is uh, they kind of talk about how profitable 538 00:31:21,800 --> 00:31:26,160 Speaker 1: spreading dangerous fascist content is for Facebook. Quote. A small 539 00:31:26,160 --> 00:31:28,960 Speaker 1: team working across several of Facebook's departments found a hundred 540 00:31:29,000 --> 00:31:32,520 Speaker 1: and eighty five ads that the company had accepted praising, supporting, 541 00:31:32,600 --> 00:31:35,440 Speaker 1: or representing q and on. According to an internal post 542 00:31:35,520 --> 00:31:39,160 Speaker 1: shared among more than four employees, the ads generated about 543 00:31:39,200 --> 00:31:42,160 Speaker 1: twelve dollars for Facebook and four million impressions in the 544 00:31:42,240 --> 00:31:44,680 Speaker 1: last thirty days. Well you have to imagine, like they 545 00:31:44,720 --> 00:31:48,880 Speaker 1: have to if if they're doing the math of what 546 00:31:48,960 --> 00:31:51,080 Speaker 1: I mean, it has to be financially profitable because it 547 00:31:51,080 --> 00:31:53,480 Speaker 1: has to offset the cost of the pr hits that 548 00:31:53,520 --> 00:31:55,880 Speaker 1: they know that they're going to take for ship. So 549 00:31:55,920 --> 00:31:59,600 Speaker 1: there and again, it's just as signing yes, a signing 550 00:31:59,640 --> 00:32:04,400 Speaker 1: of is to uh lives and and and brains. Yeah, 551 00:32:04,680 --> 00:32:08,280 Speaker 1: which is a good thing to do. Seems reasonable, Yeah, 552 00:32:08,280 --> 00:32:12,520 Speaker 1: it seems fair to me. Yeah. Um so yeah. Outside Facebook, 553 00:32:12,600 --> 00:32:15,280 Speaker 1: the only people who really noticed what was happening initially 554 00:32:15,640 --> 00:32:19,480 Speaker 1: were a handful of researchers that studied extremist groups. Um 555 00:32:19,520 --> 00:32:21,120 Speaker 1: and I wasn't really one of them until like two 556 00:32:21,160 --> 00:32:25,400 Speaker 1: thousand nineteen that I realized Facebook groups specifically were a problem. 557 00:32:25,400 --> 00:32:28,080 Speaker 1: Was obviously that Facebook was the issue, but the um 558 00:32:28,600 --> 00:32:32,239 Speaker 1: I wasn't until Facebook group kept threatening to kill me 559 00:32:32,320 --> 00:32:35,240 Speaker 1: for two years. Yeah that did happen to you? Huh? 560 00:32:35,320 --> 00:32:37,520 Speaker 1: That did happen to me? Yeah? If you have a 561 00:32:37,640 --> 00:32:40,560 Speaker 1: listener her my year in menso podcast What are you 562 00:32:40,680 --> 00:32:45,400 Speaker 1: doing there? Thankfully, the people threatening to kill you were 563 00:32:45,440 --> 00:32:48,920 Speaker 1: just members of MENSA who I trust are not competent 564 00:32:49,040 --> 00:32:52,920 Speaker 1: enough to pull off an assassination. I mean, don't challenge them, 565 00:32:52,960 --> 00:32:56,560 Speaker 1: but let's hope. So no, this I'm throwing down the 566 00:32:56,600 --> 00:33:00,800 Speaker 1: Gautensd're like, no, no, no, I don't think they could 567 00:33:00,880 --> 00:33:06,880 Speaker 1: do it. Yeah, sorry, so, um yeah. I didn't really 568 00:33:06,880 --> 00:33:09,840 Speaker 1: grasp the scale of the problem with Facebook groups and 569 00:33:09,840 --> 00:33:12,640 Speaker 1: specific until two thousand nineteen when I started really looking 570 00:33:12,640 --> 00:33:15,360 Speaker 1: into the Boogaloo movement UM, and it was kind of 571 00:33:15,400 --> 00:33:18,600 Speaker 1: camouflaged because there was just so much fascist content everywhere 572 00:33:18,640 --> 00:33:22,560 Speaker 1: on Facebook. UM that the fact that groups in specific 573 00:33:22,640 --> 00:33:25,440 Speaker 1: we're driving a lot of the expansion of fascism in 574 00:33:25,440 --> 00:33:27,800 Speaker 1: this country kind of got lost in the noise. But 575 00:33:27,840 --> 00:33:30,600 Speaker 1: there were other researchers who started to realize this early on, 576 00:33:30,680 --> 00:33:34,360 Speaker 1: and workers inside Facebook realized what was happening right away, 577 00:33:34,640 --> 00:33:37,360 Speaker 1: and two eighteen they held a meeting for Mark and 578 00:33:37,440 --> 00:33:41,360 Speaker 1: other senior leadership members to reveal their troubling findings. From 579 00:33:41,360 --> 00:33:44,840 Speaker 1: the Wall Street Journal quote, a Facebook team had a 580 00:33:44,840 --> 00:33:48,760 Speaker 1: blunt message for senior executives. The company's algorithms weren't bringing 581 00:33:48,800 --> 00:33:54,000 Speaker 1: people together, they were driving people apart. Quote. Our algorithms 582 00:33:54,000 --> 00:33:57,080 Speaker 1: exploit the human brains attraction to divisiveness. Read a slide 583 00:33:57,080 --> 00:34:00,280 Speaker 1: from a two thousand eighteen presentation. If left on checked, 584 00:34:00,320 --> 00:34:03,080 Speaker 1: it warned Facebook would feed users more and more divisive 585 00:34:03,120 --> 00:34:05,800 Speaker 1: content and an effort to gain user attention and increase 586 00:34:05,880 --> 00:34:11,080 Speaker 1: time on platform. So that presentation went to the heart 587 00:34:11,080 --> 00:34:13,719 Speaker 1: of a question dogging Facebook almost since its founding, does 588 00:34:13,760 --> 00:34:17,680 Speaker 1: its platform aggravate polarization and tribal behavior? The answer it 589 00:34:17,800 --> 00:34:24,359 Speaker 1: found in some cases was yes. In some case, I mean, 590 00:34:25,560 --> 00:34:31,279 Speaker 1: I guess that's technically accurate. In some cases yeah. So Facebook, 591 00:34:31,280 --> 00:34:34,160 Speaker 1: in response to this meeting, starts like a massive internal 592 00:34:34,200 --> 00:34:36,560 Speaker 1: effort to try to figure out like how its platform 593 00:34:36,680 --> 00:34:40,640 Speaker 1: might be harming people, and Mark Zuckerberg in public and 594 00:34:40,719 --> 00:34:43,440 Speaker 1: private around this time, started talking about his concern that 595 00:34:43,520 --> 00:34:49,240 Speaker 1: sensationalism and polarization we're being enabled by Facebook. Into Mark's credit, 596 00:34:49,360 --> 00:34:52,960 Speaker 1: he made his employees do something about that phrase, yeah 597 00:34:53,040 --> 00:34:55,480 Speaker 1: a little bit to his credit. It's okay, we'll take 598 00:34:55,480 --> 00:35:00,000 Speaker 1: away the credit in just a second. Um so quote. 599 00:35:00,160 --> 00:35:03,120 Speaker 1: Fixing the polarization problem would be difficult, requiring Facebook to 600 00:35:03,120 --> 00:35:06,200 Speaker 1: rethink some of its core products. Most notably, the projects 601 00:35:06,440 --> 00:35:10,120 Speaker 1: forced Facebook to consider how it prioritized user engagement, a 602 00:35:10,160 --> 00:35:13,200 Speaker 1: metric involving time spent like shares and comments that for 603 00:35:13,320 --> 00:35:16,120 Speaker 1: years had been the loadstar of its system, championed by 604 00:35:16,160 --> 00:35:18,840 Speaker 1: Chris Cox, Facebook's chief product officer at the time, in 605 00:35:18,880 --> 00:35:21,520 Speaker 1: a top debt beauty to Mr Zuckerberg. The work was 606 00:35:21,560 --> 00:35:23,920 Speaker 1: carried out over much of two thousands, seventeen and eighteen 607 00:35:23,960 --> 00:35:27,440 Speaker 1: by engineers and researchers assigned to a cross jurisdictional task 608 00:35:27,480 --> 00:35:31,440 Speaker 1: force dubbed common Ground, and employees and a newly created 609 00:35:31,520 --> 00:35:36,520 Speaker 1: newly created integrity teams embedded around the company. Integrity teams 610 00:35:36,680 --> 00:35:39,319 Speaker 1: sounds good to me. It sounds reliable. It sounds like 611 00:35:39,360 --> 00:35:45,760 Speaker 1: they made sure that integrity was accomplished via teamwork. Yeah. Yeah, 612 00:35:45,960 --> 00:35:48,800 Speaker 1: So the common Ground team proposed a number of solutions, 613 00:35:48,840 --> 00:35:51,040 Speaker 1: and to my ears, some of them were actually pretty good. 614 00:35:51,360 --> 00:35:55,800 Speaker 1: One proposal was basically to um uh like to to 615 00:35:56,440 --> 00:36:01,560 Speaker 1: kind of try to take conversations that were derailing UH groups, 616 00:36:01,600 --> 00:36:05,000 Speaker 1: like conversations over hot button political issues, and exercise them 617 00:36:05,040 --> 00:36:07,239 Speaker 1: from those groups. So basically, if if a couple of 618 00:36:07,239 --> 00:36:10,520 Speaker 1: members of a Facebook group started fighting, about vaccinations, and 619 00:36:10,600 --> 00:36:13,880 Speaker 1: like a group based around parenting, the moderators would be 620 00:36:13,920 --> 00:36:16,480 Speaker 1: able to make a temporary subgroup for the argument to 621 00:36:16,560 --> 00:36:20,640 Speaker 1: exist in so that other people, like the Zoom breakout room. Yeah, 622 00:36:20,680 --> 00:36:22,640 Speaker 1: so that other people wouldn't be expect which I don't 623 00:36:22,640 --> 00:36:24,360 Speaker 1: know if that's a great idea, but it was something. 624 00:36:24,960 --> 00:36:27,000 Speaker 1: Another idea that I do think was better was to 625 00:36:27,040 --> 00:36:31,200 Speaker 1: tweak recommendation algorithms um to give people a wider range 626 00:36:31,200 --> 00:36:36,080 Speaker 1: of Facebook group suggestions. Um. Yeah. But it was kind 627 00:36:36,080 --> 00:36:40,080 Speaker 1: of determined that doing these things uh would probably help 628 00:36:40,080 --> 00:36:42,600 Speaker 1: with polarization, but would come at the cost of lower 629 00:36:42,719 --> 00:36:45,960 Speaker 1: user engagement and less time spent on site, which the 630 00:36:46,000 --> 00:36:48,360 Speaker 1: common Ground team warned about in a two thou eighteen 631 00:36:48,440 --> 00:36:51,360 Speaker 1: document that described some of their own proposals as anti 632 00:36:51,440 --> 00:36:57,680 Speaker 1: growth and requiring Facebook to take a moral stance. Guess 633 00:36:57,719 --> 00:37:02,560 Speaker 1: how that all went. Yeah, marks Uckerberg almost immediately lost interest. Um. 634 00:37:03,239 --> 00:37:04,680 Speaker 1: Some of this. A lot of this is probably due 635 00:37:04,680 --> 00:37:07,360 Speaker 1: to the fact that it would harm Facebook's growth, But 636 00:37:07,400 --> 00:37:11,439 Speaker 1: another culprit that, like employees who talked to the Wall 637 00:37:11,440 --> 00:37:14,880 Speaker 1: Street Journal and other publications repeatedly mentioned is the fact 638 00:37:14,880 --> 00:37:17,399 Speaker 1: that he was all but heard about how journalists were 639 00:37:17,400 --> 00:37:21,040 Speaker 1: reporting on Facebook because after the Cambridge analytic A scandal, 640 00:37:21,080 --> 00:37:26,319 Speaker 1: they kept writing mean things about him. Mr Well, Mr 641 00:37:26,400 --> 00:37:29,600 Speaker 1: Marc always has to ask himself, what would what would 642 00:37:29,640 --> 00:37:33,000 Speaker 1: bad haircut Emperor do? And that the haircut Emperor wouldn't 643 00:37:33,120 --> 00:37:35,640 Speaker 1: you know, wouldn't slow down? And this ship absolutely not. 644 00:37:36,200 --> 00:37:38,879 Speaker 1: One person was familiar with the situation told The Wall 645 00:37:38,880 --> 00:37:42,480 Speaker 1: Street Journal, the internal pendulum swung really hard to the 646 00:37:42,520 --> 00:37:44,640 Speaker 1: media hates us no matter what we do, So let's 647 00:37:44,680 --> 00:37:49,160 Speaker 1: just batten down the hatches. But January of Mark's feelings 648 00:37:49,160 --> 00:37:51,680 Speaker 1: had hardened enough that he announced he would stand up 649 00:37:51,960 --> 00:37:54,880 Speaker 1: quote against those who say that new types of communities 650 00:37:54,920 --> 00:37:57,960 Speaker 1: forming on social media are dividing us. According to the 651 00:37:57,960 --> 00:38:00,120 Speaker 1: Wall Street Journal, people who have heard him speak, I've 652 00:38:00,160 --> 00:38:03,680 Speaker 1: at least say he argues social media bears little responsibility 653 00:38:03,719 --> 00:38:08,399 Speaker 1: for polarization. Now there may be an additional explanation from 654 00:38:08,400 --> 00:38:11,319 Speaker 1: marks shifting opinions on the matter that go beyond being 655 00:38:11,360 --> 00:38:15,359 Speaker 1: just greedy and angry about bad press. And that explanation 656 00:38:15,680 --> 00:38:19,000 Speaker 1: is a fella named Joel Kaplan. Do you know Joel Kaplan? 657 00:38:19,000 --> 00:38:20,680 Speaker 1: You ever heard of this? Dude? I don't know this 658 00:38:20,760 --> 00:38:24,200 Speaker 1: Joel Kaplan character. Well, in short, he's the goddamn devil. 659 00:38:24,480 --> 00:38:27,440 Speaker 1: Um long, he's the guy that Facebook hired to head 660 00:38:27,520 --> 00:38:30,040 Speaker 1: up US Public Policy in two thousand eleven, and he 661 00:38:30,080 --> 00:38:33,080 Speaker 1: became the VP of Global Public Policy in two thousand fourteen. 662 00:38:33,480 --> 00:38:36,000 Speaker 1: And Joel was picked for these jobs because, unlike most 663 00:38:36,000 --> 00:38:39,560 Speaker 1: Facebook employees, he is a registered Republican with decades of 664 00:38:39,600 --> 00:38:42,360 Speaker 1: experience and government. This made him the perfect person to 665 00:38:42,400 --> 00:38:45,759 Speaker 1: help the social network deal with allegations of anti conservative 666 00:38:45,800 --> 00:38:49,960 Speaker 1: bias as little empathy as possible. I'm sure. Yeah. In 667 00:38:50,000 --> 00:38:52,360 Speaker 1: two thousand and sixteen, there's all these rumors that Facebook 668 00:38:52,440 --> 00:38:55,760 Speaker 1: is like censoring conservative content that are proven to be untrue, 669 00:38:56,080 --> 00:38:58,080 Speaker 1: but the rumors go viral on the right, and so 670 00:38:58,200 --> 00:39:00,680 Speaker 1: everyone on the right forever assumes that they were true. 671 00:39:01,120 --> 00:39:06,319 Speaker 1: Um And basically, Joel becomes increasingly influential after this point 672 00:39:06,360 --> 00:39:09,840 Speaker 1: because he's Mark Zuckerberg's best way out of angering the 673 00:39:09,920 --> 00:39:13,000 Speaker 1: right wing, which you actually can't not do because they're 674 00:39:13,200 --> 00:39:16,440 Speaker 1: they're always angry, and we'll just yell about everything until 675 00:39:16,480 --> 00:39:18,239 Speaker 1: they get to kill everyone who wasn't them, because that's 676 00:39:18,239 --> 00:39:22,080 Speaker 1: what life finds a way for that. So Joel was 677 00:39:22,120 --> 00:39:25,480 Speaker 1: a policy advisor for George W. Bush's two thousand campaign 678 00:39:25,520 --> 00:39:28,160 Speaker 1: and a participant in the Brooks Brothers riot, which is 679 00:39:28,200 --> 00:39:31,640 Speaker 1: the thing that was orchestrated by Roger Stone to help 680 00:39:31,719 --> 00:39:35,680 Speaker 1: hide a bunch of ballots in Florida that he was 681 00:39:35,719 --> 00:39:39,720 Speaker 1: a part of that. That's the guy who's basically running 682 00:39:39,760 --> 00:39:43,200 Speaker 1: Facebook's response to partisanship right now. I have a physical 683 00:39:43,280 --> 00:39:47,400 Speaker 1: reaction to that. It's awesome, so upset. He worked in 684 00:39:47,440 --> 00:39:50,000 Speaker 1: the White House for basically the whole Bush administration, and 685 00:39:50,040 --> 00:39:53,399 Speaker 1: in two thousand and six he took over Carl Rob's job. 686 00:39:53,680 --> 00:39:58,480 Speaker 1: So if you visualized Joe Kaplan, he's the guy you 687 00:39:58,560 --> 00:40:02,440 Speaker 1: get when you can't get car Old Rove anymore. He's 688 00:40:02,680 --> 00:40:06,200 Speaker 1: Mr Carl Rove wasn't when the worst person in the 689 00:40:06,239 --> 00:40:09,080 Speaker 1: world is like, I can't do this job anymore. Joe 690 00:40:09,160 --> 00:40:13,719 Speaker 1: Kaplan's like, I got you. I got you famous monsters, 691 00:40:13,880 --> 00:40:18,120 Speaker 1: Like I'm trying to srub some ship over here, infamous 692 00:40:18,160 --> 00:40:21,400 Speaker 1: piece of ship, Carl Rove, don't worry. I will continue 693 00:40:21,440 --> 00:40:25,080 Speaker 1: your good work. I am Joe Kaplan and now I 694 00:40:25,160 --> 00:40:29,799 Speaker 1: basically run Facebook. And if you google him, Google has 695 00:40:29,880 --> 00:40:35,600 Speaker 1: enlisted as American Advocate. Yeah, he is an advocate of things. 696 00:40:35,960 --> 00:40:38,600 Speaker 1: I was like, I was like, again, I guess more 697 00:40:38,640 --> 00:40:45,439 Speaker 1: specific don't enjoy his face, just put it out there. 698 00:40:44,719 --> 00:40:48,680 Speaker 1: Joe is one of the most influential voices in Mark 699 00:40:48,760 --> 00:40:51,000 Speaker 1: Zuckerberg's world, and he was one of the most influential 700 00:40:51,080 --> 00:40:53,640 Speaker 1: voices in the entire company when the common Ground team 701 00:40:53,680 --> 00:40:57,600 Speaker 1: came back with their suggestions for reducing partisanship. As policy chief, 702 00:40:57,719 --> 00:40:59,960 Speaker 1: you had a lot of power to approve these new changes, 703 00:41:00,320 --> 00:41:02,720 Speaker 1: and he argued against all of them. His main point 704 00:41:02,719 --> 00:41:06,800 Speaker 1: was that the proposed changes were, in his words, paternalistic um. 705 00:41:06,920 --> 00:41:10,439 Speaker 1: He also said that basically babying people. He also said 706 00:41:10,480 --> 00:41:15,640 Speaker 1: that these changes story, yeah, be a daddy story. I 707 00:41:15,640 --> 00:41:21,480 Speaker 1: can't there daddy stories that end in a genocide. Robert, Well, God, 708 00:41:21,640 --> 00:41:24,040 Speaker 1: if it makes you feel any better, all the genocides 709 00:41:24,040 --> 00:41:26,239 Speaker 1: that this is going to lead to, heaven happened yet? 710 00:41:26,560 --> 00:41:31,399 Speaker 1: Oh okay, well there you go. He yeah. So. Joel 711 00:41:31,480 --> 00:41:35,320 Speaker 1: also said that these changes would disproportionately impact conservative content 712 00:41:35,680 --> 00:41:38,400 Speaker 1: because it tends to be bigotted, a divisive. Since the 713 00:41:38,400 --> 00:41:42,440 Speaker 1: Trump administration was at this point regularly tossing threats at Facebook, 714 00:41:42,760 --> 00:41:46,359 Speaker 1: this had some weight. Quote from Wall Street Journal, Mr 715 00:41:46,440 --> 00:41:48,399 Speaker 1: Kaplan said in a recent interview that he and other 716 00:41:48,440 --> 00:41:52,000 Speaker 1: executives had approved certain changes meant to improve civic discussion. 717 00:41:52,200 --> 00:41:54,480 Speaker 1: In other cases where proposals were blocked, he said he 718 00:41:54,520 --> 00:41:57,719 Speaker 1: was trying to instill some discipline, rigor, and responsibility into 719 00:41:57,760 --> 00:42:01,080 Speaker 1: the progress as he vetted the effectiveness in potential unintended 720 00:42:01,080 --> 00:42:05,960 Speaker 1: consequences of changes to how the platform operated internally, The 721 00:42:06,040 --> 00:42:10,919 Speaker 1: vetting process earned a nickname eat your Veggies No, which 722 00:42:10,960 --> 00:42:15,880 Speaker 1: sounds paternalistic to me. Actually sounds like the beginning of 723 00:42:15,880 --> 00:42:18,480 Speaker 1: a daddy story that ends in a genocide. Wow. Okay, 724 00:42:19,880 --> 00:42:21,799 Speaker 1: we'll get back to Joe Caplan in a little bit. 725 00:42:21,840 --> 00:42:23,640 Speaker 1: For now, we need to talk some more about the 726 00:42:23,640 --> 00:42:26,319 Speaker 1: problem of violent of how we want to talk about 727 00:42:26,400 --> 00:42:29,520 Speaker 1: how the problem of violent extremism on Facebook groups got 728 00:42:29,560 --> 00:42:33,040 Speaker 1: completely out of control. So this summer, which was marked 729 00:42:33,040 --> 00:42:36,600 Speaker 1: by constant militia rallies, the explosive growth of the Boogaloo movement, 730 00:42:36,920 --> 00:42:39,520 Speaker 1: numerous deaths as a result of violent far right actors 731 00:42:39,520 --> 00:42:42,840 Speaker 1: showing up at protests with guns, Facebook finally took action 732 00:42:43,320 --> 00:42:46,680 Speaker 1: in late September to ban militias from using their service 733 00:42:47,160 --> 00:42:50,000 Speaker 1: because they have to be balanced. They also banned anarchists 734 00:42:50,080 --> 00:42:52,920 Speaker 1: from Facebook at the same time, even though anarchists have 735 00:42:53,000 --> 00:42:55,560 Speaker 1: not been tied to any acts of fatal terrorism in 736 00:42:55,640 --> 00:42:59,680 Speaker 1: recent memory. Um, because you know, you gotta placate the 737 00:42:59,760 --> 00:43:01,520 Speaker 1: right wing, because they're the only ones who matters. So 738 00:43:01,600 --> 00:43:04,440 Speaker 1: let's play. Let's let's ban the anarchists who have been 739 00:43:04,480 --> 00:43:07,960 Speaker 1: spending the last four years trying to lay out the 740 00:43:08,040 --> 00:43:11,960 Speaker 1: individual actors and groups who are members of these militias 741 00:43:12,000 --> 00:43:14,680 Speaker 1: that are doing stuff like taking over checkpoints and holding 742 00:43:14,680 --> 00:43:16,880 Speaker 1: my friends at gunpoint. We wouldn't one of the folks 743 00:43:16,920 --> 00:43:18,640 Speaker 1: who were keeping track of them to be able to 744 00:43:18,680 --> 00:43:21,919 Speaker 1: use Facebook. That's the wrong kind of disruptive, you see. 745 00:43:21,960 --> 00:43:25,600 Speaker 1: That's the wrong kind of disrruptive and advocating. You know, 746 00:43:26,040 --> 00:43:28,600 Speaker 1: that's very similar to what the dude and that trailer 747 00:43:28,719 --> 00:43:31,960 Speaker 1: said when I was driving my Forerunner through his trailer 748 00:43:32,040 --> 00:43:36,160 Speaker 1: and shooting towards his children. Not at um. And I'll 749 00:43:36,200 --> 00:43:38,839 Speaker 1: tell I'll tell you what I told him. What did 750 00:43:39,000 --> 00:43:42,840 Speaker 1: What did you say? I'm an innovator, Mark, I don't know. 751 00:43:42,920 --> 00:43:45,840 Speaker 1: That didn't really tie into it worked for me. I 752 00:43:45,840 --> 00:43:47,840 Speaker 1: could see it. I could see it in kind of 753 00:43:47,840 --> 00:43:51,160 Speaker 1: an ozarchy kind of way. I could see Yeah. Yeah, 754 00:43:51,280 --> 00:43:54,800 Speaker 1: so Uh. Mark. By the way, Uh is on record 755 00:43:54,840 --> 00:43:58,520 Speaker 1: declaring that Facebook is a guardian of free speech which 756 00:43:58,560 --> 00:44:01,240 Speaker 1: is one of the things he did when he refused 757 00:44:01,280 --> 00:44:03,960 Speaker 1: noted that he was refusing to fact check political ads. 758 00:44:04,000 --> 00:44:07,200 Speaker 1: In so, anarchists who want to talk about operating a 759 00:44:07,239 --> 00:44:11,120 Speaker 1: communal garden or you know, share details about dangerous militias 760 00:44:11,400 --> 00:44:14,719 Speaker 1: are the same as militiamen baying for the blood of protesters. 761 00:44:14,960 --> 00:44:18,520 Speaker 1: But political candidates spreading malicious lies about protesters who are 762 00:44:18,520 --> 00:44:22,959 Speaker 1: being assaulted and killed based on those lies. That is fine. 763 00:44:23,440 --> 00:44:28,440 Speaker 1: Back to Facebook growth or anything like that. Let's get 764 00:44:28,440 --> 00:44:30,960 Speaker 1: back to Facebook's integrity teams, and they're doomed quests to 765 00:44:31,000 --> 00:44:36,600 Speaker 1: stop their boss from destroying democracy. So the engineers and 766 00:44:36,680 --> 00:44:39,600 Speaker 1: data scientists on these teams in chief like mainly like 767 00:44:39,640 --> 00:44:42,760 Speaker 1: the guys who are working on the news feed. Uh 768 00:44:42,880 --> 00:44:47,000 Speaker 1: they yeah, they accorded to the Wall Street Journal arrived 769 00:44:47,000 --> 00:44:51,720 Speaker 1: at the polarization problem indirectly. Um asked to combat fake news, spam, clickbait, 770 00:44:51,760 --> 00:44:54,120 Speaker 1: and in authentic users. The employees looked for ways to 771 00:44:54,120 --> 00:44:57,840 Speaker 1: diminish the reach of such ills. One early discovery bad 772 00:44:57,880 --> 00:45:02,640 Speaker 1: behavior came disproportionately from a small of hyperpartisan users um now. 773 00:45:02,680 --> 00:45:06,320 Speaker 1: Another finding was that the US saw a larger infrastructure 774 00:45:06,400 --> 00:45:08,920 Speaker 1: of accounts and publishers that met this definition on the 775 00:45:08,920 --> 00:45:12,360 Speaker 1: far right than the far left, UM and outside observers 776 00:45:12,400 --> 00:45:15,719 Speaker 1: documented the same phenomenon. The gap meant that seemingly a 777 00:45:15,840 --> 00:45:19,080 Speaker 1: political action, such as reducing the spread of clickbait headlines 778 00:45:19,120 --> 00:45:22,200 Speaker 1: along the title of you won't believe what happened next, uh, 779 00:45:22,239 --> 00:45:25,280 Speaker 1: it meant that, like, doing this stuff affected conservative speech 780 00:45:25,280 --> 00:45:29,400 Speaker 1: more than liberal speech. Now, yeah, and obviously this piste 781 00:45:29,440 --> 00:45:33,040 Speaker 1: off conservatives. The way that Facebook works means that users 782 00:45:33,040 --> 00:45:35,719 Speaker 1: who posted an engage with the site more have more influence. 783 00:45:36,000 --> 00:45:38,640 Speaker 1: The algorithm sees if you're posting a thousand times a 784 00:45:38,680 --> 00:45:42,080 Speaker 1: week instead of fifty, it likes that engagement because engagement 785 00:45:42,080 --> 00:45:44,880 Speaker 1: means money, and so it prioritizes your content over the 786 00:45:44,920 --> 00:45:47,560 Speaker 1: content of someone who posts less often. This means that 787 00:45:47,880 --> 00:45:50,680 Speaker 1: a bunch of networks of Russian bots and hyperactive or 788 00:45:50,760 --> 00:45:55,040 Speaker 1: like Ian Miles Chong who's a fascist troll who lives 789 00:45:55,040 --> 00:45:59,400 Speaker 1: in fucking Malaysia and tweets about how like everybody needs 790 00:45:59,440 --> 00:46:01,600 Speaker 1: to have a that they can use to shoot democrats 791 00:46:01,600 --> 00:46:03,680 Speaker 1: even though guns are legal in his country, and like 792 00:46:04,200 --> 00:46:08,000 Speaker 1: makes like did very recently miss anyway, total piece of 793 00:46:08,000 --> 00:46:11,400 Speaker 1: ship that that that these pieces of ship um who 794 00:46:11,520 --> 00:46:14,760 Speaker 1: are actively attempting to urge violence, and who have urged 795 00:46:14,880 --> 00:46:18,000 Speaker 1: violence and cause death mobs in other countries. It means 796 00:46:18,040 --> 00:46:20,840 Speaker 1: that these people, because they're just shotgunning out hundreds of 797 00:46:20,880 --> 00:46:24,360 Speaker 1: posts per day, will always be more influential than local 798 00:46:24,480 --> 00:46:27,280 Speaker 1: journalists and reporters who are trying to bring out factually 799 00:46:27,360 --> 00:46:31,240 Speaker 1: based information, because it's better for Facebook for a stream 800 00:46:31,280 --> 00:46:34,880 Speaker 1: of lies to spread on their platform than a smaller 801 00:46:34,920 --> 00:46:37,600 Speaker 1: amount of truth. Yeah. And it also lends itself to 802 00:46:38,160 --> 00:46:41,120 Speaker 1: just never like to be releasing contents so quickly that 803 00:46:41,160 --> 00:46:44,799 Speaker 1: you couldn't possibly disprove or fact check things fast enough, 804 00:46:44,800 --> 00:46:48,919 Speaker 1: because there's just it's just a bullshit machine. Yeah uh. 805 00:46:48,920 --> 00:46:52,080 Speaker 1: And you know, Facebook's teams found that most of these 806 00:46:52,160 --> 00:46:56,000 Speaker 1: hyperactive accounts were way more partisan the normal Facebook users, 807 00:46:56,000 --> 00:46:58,680 Speaker 1: and we're more likely to appear suspicious, like to engage 808 00:46:58,680 --> 00:47:01,879 Speaker 1: in suspicious behavior that suggested either a bunch of people 809 00:47:02,000 --> 00:47:04,760 Speaker 1: working in shifts or there were bots. So these these teams, 810 00:47:04,760 --> 00:47:07,880 Speaker 1: these integrity teams did like the thing that has integrity, 811 00:47:08,360 --> 00:47:11,200 Speaker 1: which was they suggested their company fixed the algorithm to 812 00:47:11,280 --> 00:47:14,000 Speaker 1: not reward this kind of behavior. Now, this would lose 813 00:47:14,040 --> 00:47:16,560 Speaker 1: the company a significant amount of money. And since most 814 00:47:16,600 --> 00:47:19,320 Speaker 1: of these hyperactive accounts were right wing and nature it 815 00:47:19,360 --> 00:47:22,080 Speaker 1: would piss off conservatives. So you can imagine how this 816 00:47:22,120 --> 00:47:25,400 Speaker 1: idea went over with Joel Kaplan. Uh. Since Mark was 817 00:47:25,480 --> 00:47:27,440 Speaker 1: terrified of right wing anger, he tended to listen to 818 00:47:27,560 --> 00:47:32,480 Speaker 1: Joel about these sort of things. Joel's daddy and the 819 00:47:32,600 --> 00:47:35,959 Speaker 1: eat your veggies policy review process stymied and killed any 820 00:47:36,040 --> 00:47:41,680 Speaker 1: movement on halting this problem. So, well, how do we 821 00:47:41,719 --> 00:47:45,600 Speaker 1: feel about that? We feel we feel great, We feel good. 822 00:47:46,120 --> 00:47:49,279 Speaker 1: Glad that's in charge, Glad everyone's eating their veggies. I mean, 823 00:47:49,320 --> 00:47:53,440 Speaker 1: even just the dystopian nature of like mobilizing these teams 824 00:47:53,480 --> 00:47:55,880 Speaker 1: to be like, hey, I've ruined the world. Do you 825 00:47:55,920 --> 00:47:58,520 Speaker 1: think you could stop it before it blows up? Because 826 00:47:58,560 --> 00:48:02,520 Speaker 1: this is going to be a real pr issue. Why 827 00:48:02,520 --> 00:48:07,200 Speaker 1: would you do that? Just of luck to the team. 828 00:48:07,280 --> 00:48:10,160 Speaker 1: There was another case where because basically the only way 829 00:48:10,160 --> 00:48:12,719 Speaker 1: to combat this stuff is to have another person Mark 830 00:48:12,800 --> 00:48:16,200 Speaker 1: Zuckerberg respects or is at least scared of yelling at 831 00:48:16,280 --> 00:48:19,200 Speaker 1: him um or you know, talking politely to him. The 832 00:48:19,239 --> 00:48:22,520 Speaker 1: daddies of the world opposite of whatever John Kaplan is saying. 833 00:48:23,080 --> 00:48:25,799 Speaker 1: And there, thankfully was someone like that in Facebook. They 834 00:48:25,880 --> 00:48:29,560 Speaker 1: hired in two thousands seventeen, Carlos Gomez Uribe, who was 835 00:48:29,600 --> 00:48:33,360 Speaker 1: the former head of Netflix's recommendation system, which is obviously 836 00:48:33,440 --> 00:48:35,040 Speaker 1: made a lot of money for Netflix. So this guy, 837 00:48:35,080 --> 00:48:39,920 Speaker 1: Carlos Uribe is a big important get for Facebook. UM. 838 00:48:39,960 --> 00:48:42,480 Speaker 1: So he gets on staff and he immediately is like, Oh, 839 00:48:42,520 --> 00:48:45,640 Speaker 1: this looks like we might be destroying the world, and 840 00:48:45,680 --> 00:48:49,160 Speaker 1: so he starts pushing to reduce the impact that hyperactive 841 00:48:49,239 --> 00:48:52,680 Speaker 1: users had on Facebook. Um and one of the proposals 842 00:48:52,680 --> 00:48:56,359 Speaker 1: that his team championed was called sparing sharing, which would 843 00:48:56,360 --> 00:48:58,799 Speaker 1: have reduced the spread of content that was favored by 844 00:48:58,840 --> 00:49:02,799 Speaker 1: these hyperactive users. UM and this would obviously have had 845 00:49:03,280 --> 00:49:06,480 Speaker 1: the most impact on content favored by far right and 846 00:49:06,600 --> 00:49:09,879 Speaker 1: far left users. Um And number one, there's more far 847 00:49:10,000 --> 00:49:12,200 Speaker 1: right users on Facebook than far left, so that was 848 00:49:12,200 --> 00:49:15,000 Speaker 1: going to disproportionately impact them. But the people who mainly 849 00:49:15,000 --> 00:49:19,200 Speaker 1: would have gained influence were political moderates. UM. Mr Uribe 850 00:49:19,320 --> 00:49:22,400 Speaker 1: called it the the happy Face. That's what he called 851 00:49:22,400 --> 00:49:25,279 Speaker 1: this plan, and Facebook's data scientists thought that it might 852 00:49:25,360 --> 00:49:29,279 Speaker 1: actually like it might actually help fight the kind of 853 00:49:29,320 --> 00:49:31,920 Speaker 1: spam efforts that Russia was doing in two thousand sixteen, 854 00:49:32,440 --> 00:49:37,840 Speaker 1: But Joe Kaplan and other Facebook executives pushed back because yeah, 855 00:49:37,880 --> 00:49:40,840 Speaker 1: and they didn't want to say because you know, Max UiB, 856 00:49:40,920 --> 00:49:43,719 Speaker 1: you couldn't like you had to be careful arguing with 857 00:49:43,760 --> 00:49:45,840 Speaker 1: some instead of saying this will be bad for money 858 00:49:45,920 --> 00:49:48,640 Speaker 1: or it'll make the right angry at us. Joe Kaplan 859 00:49:48,719 --> 00:49:52,120 Speaker 1: invented a hypothetical girl Scout troupe, and he asked, what 860 00:49:52,160 --> 00:49:55,680 Speaker 1: would happen if the girls became Facebook super sharers as 861 00:49:55,719 --> 00:49:58,680 Speaker 1: part of a cookie selling program. That sounds like a 862 00:49:58,719 --> 00:50:01,560 Speaker 1: metaphor you would do at the big of an episode. Yeah, 863 00:50:01,640 --> 00:50:03,880 Speaker 1: he was like, basically like, what if these girl scouts 864 00:50:03,880 --> 00:50:06,160 Speaker 1: made a super successful account to so their cookies? Like, 865 00:50:06,200 --> 00:50:09,239 Speaker 1: we would be unfairly hurting them if we stopped these 866 00:50:09,280 --> 00:50:11,560 Speaker 1: people who are baying for the deaths of their fellow 867 00:50:11,600 --> 00:50:16,640 Speaker 1: citizens and gathering militias to their banner. Okay, I hear you, 868 00:50:16,719 --> 00:50:23,400 Speaker 1: but what about fictional girls girl scouts? Yeah, it's awesome. 869 00:50:23,760 --> 00:50:28,280 Speaker 1: So the debate between Mr aib and Um and Joel 870 00:50:28,360 --> 00:50:31,160 Speaker 1: Kaplan eventually did make it to Mark Zuckerberg. He had 871 00:50:31,200 --> 00:50:33,279 Speaker 1: to make a call on this one because both of 872 00:50:33,320 --> 00:50:35,640 Speaker 1: them were kind of big names in the company. Uh. 873 00:50:35,680 --> 00:50:37,840 Speaker 1: Mark listened to both sides and he took the coward's 874 00:50:37,920 --> 00:50:41,879 Speaker 1: way out. He approved Ureb's plan, but he also said 875 00:50:41,920 --> 00:50:45,120 Speaker 1: they had to cut the weighing by eight percent, which 876 00:50:45,160 --> 00:50:50,360 Speaker 1: mitigated most of the positive benefits of the plan. Um. Yeah. 877 00:50:50,400 --> 00:50:53,160 Speaker 1: After this, Mark, according to the Wall Street Journal quote, 878 00:50:53,239 --> 00:50:56,239 Speaker 1: signaled he was losing interest in the effort to recalibrate 879 00:50:56,280 --> 00:50:59,040 Speaker 1: the platform in the name of social good, asking that 880 00:50:59,120 --> 00:51:04,239 Speaker 1: they not bring him something like that again. Neat two 881 00:51:04,640 --> 00:51:08,400 Speaker 1: years apiece, Mark, do that that has big two hundred 882 00:51:08,480 --> 00:51:13,399 Speaker 1: years of pieces, big two d years of piece energy. Yeah. 883 00:51:14,600 --> 00:51:18,799 Speaker 1: In two thousand nineteen, uh Mark announced that Facebook would 884 00:51:18,840 --> 00:51:22,919 Speaker 1: start taking down content that violated specific standards, but would 885 00:51:22,920 --> 00:51:25,360 Speaker 1: take a hands off approach to policing material that didn't 886 00:51:25,400 --> 00:51:29,160 Speaker 1: clearly violate as standards. In a speech to Georgetown that October, 887 00:51:29,239 --> 00:51:32,879 Speaker 1: he said, you can't impost tolerance top down. It has 888 00:51:32,960 --> 00:51:35,840 Speaker 1: to come from people opening up, sharing experiences and developing 889 00:51:35,880 --> 00:51:39,399 Speaker 1: a shared story for society that we all feel we're 890 00:51:39,400 --> 00:51:43,480 Speaker 1: a part of. That's how we make progress together. So 891 00:51:43,560 --> 00:51:47,200 Speaker 1: you know, it's like that is just such a wild 892 00:51:47,239 --> 00:51:50,600 Speaker 1: way of saying, like, I don't feel I am accountable 893 00:51:50,680 --> 00:51:53,040 Speaker 1: for this, and once again I'm going to delegate this 894 00:51:53,120 --> 00:51:56,160 Speaker 1: to the users. Of the people brains. I'm actively ruining 895 00:51:57,040 --> 00:52:00,600 Speaker 1: You know what makes progress harder in my opinion, Jamie 896 00:52:01,120 --> 00:52:05,040 Speaker 1: Products and services. No, no, when fascists are allowed to 897 00:52:05,080 --> 00:52:10,360 Speaker 1: spread lies about disadvantaged in endangered groups to tens of 898 00:52:10,400 --> 00:52:13,840 Speaker 1: millions of angry and armed people because your company decided 899 00:52:13,880 --> 00:52:16,600 Speaker 1: sites like The Daily Caller and Breitbart are equivalent to 900 00:52:16,600 --> 00:52:20,920 Speaker 1: the Washington Post. This is something Facebook did when, at 901 00:52:21,000 --> 00:52:24,840 Speaker 1: Joel Kaplan's behest, it made both companies Facebook news partners. 902 00:52:25,040 --> 00:52:26,839 Speaker 1: These are the folks that Facebook trust to help them 903 00:52:26,840 --> 00:52:31,480 Speaker 1: determine what stories are true. Um, they get money from Facebook, 904 00:52:31,480 --> 00:52:35,120 Speaker 1: they get an elevated position in the news feed. Um. Yeah. 905 00:52:35,560 --> 00:52:38,400 Speaker 1: On an unrelated note, earlier this year, Breitbart News shared 906 00:52:38,400 --> 00:52:41,319 Speaker 1: a video that promoted bogus coronavirus treatments and told people 907 00:52:41,360 --> 00:52:44,120 Speaker 1: that masks couldn't prevent the spread of the virus. This 908 00:52:44,280 --> 00:52:47,800 Speaker 1: video was watched fourteen million times in six hours before 909 00:52:47,800 --> 00:52:51,279 Speaker 1: it was removed from Breitbart's page. They removed it presumably 910 00:52:51,520 --> 00:52:55,000 Speaker 1: because it violated Facebook policy, and Facebook has a two 911 00:52:55,040 --> 00:52:58,520 Speaker 1: strike policy for its news partners sharing misinformation within a 912 00:52:58,600 --> 00:53:01,920 Speaker 1: ninety day period. When Mark was asked why Breitbart got 913 00:53:02,000 --> 00:53:05,040 Speaker 1: to be a Facebook trusted partner while spreading misinformation about 914 00:53:05,040 --> 00:53:07,839 Speaker 1: an active plague that was killing hundreds of thousands of Americans. 915 00:53:08,520 --> 00:53:11,960 Speaker 1: Mark held up the two strike policy as a shield. Quote. 916 00:53:12,239 --> 00:53:15,880 Speaker 1: This was certainly one strike against them FIR misinformation, but 917 00:53:15,960 --> 00:53:18,560 Speaker 1: they don't have others in the last ninety days. So 918 00:53:18,600 --> 00:53:21,040 Speaker 1: by the policies we have, which by the way, I 919 00:53:21,080 --> 00:53:23,680 Speaker 1: think are generally pretty reasonable on this, it doesn't make 920 00:53:23,719 --> 00:53:30,160 Speaker 1: sense to remove them. That's pretty great, Jamie, that's pretty awesome. 921 00:53:30,640 --> 00:53:34,480 Speaker 1: But you know what's even better about physical and unethical 922 00:53:34,520 --> 00:53:38,719 Speaker 1: but still legal, ha ha. What's even better about this 923 00:53:39,040 --> 00:53:43,319 Speaker 1: is that Breitbart absolutely violated Facebook policies more than two 924 00:53:43,320 --> 00:53:46,360 Speaker 1: times in ninety days, and it was covered up. That's 925 00:53:46,400 --> 00:53:50,120 Speaker 1: what's even better. Yeah, you have to imagine Breitbart is 926 00:53:50,200 --> 00:53:54,560 Speaker 1: violating Facebook policies multiple times a day like the happlin 927 00:53:54,680 --> 00:53:57,839 Speaker 1: have some heide it. Yeah, that is such. I mean, 928 00:53:58,000 --> 00:54:03,919 Speaker 1: it's awesome, it's awesome. I'm going to read actually by 929 00:54:03,960 --> 00:54:07,160 Speaker 1: citing an incredible report by BuzzFeed, who, by the way, 930 00:54:07,320 --> 00:54:10,040 Speaker 1: all credit to BuzzFeed. BuzzFeed, and I think you know BuzzFeed, 931 00:54:10,080 --> 00:54:13,160 Speaker 1: And I've cited a number of great articles, including that 932 00:54:13,160 --> 00:54:15,240 Speaker 1: one from The Wall Street Journal, which is really important. 933 00:54:15,600 --> 00:54:18,680 Speaker 1: BuzzFeed has probably been of all of the different media 934 00:54:18,760 --> 00:54:23,200 Speaker 1: companies the most dedicated and like hounding Facebook like a 935 00:54:23,320 --> 00:54:26,880 Speaker 1: fucking dog with a groin fetish. I don't know how to. 936 00:54:27,360 --> 00:54:30,200 Speaker 1: I'm very proud of Buzzfeeds reporting on Facebook. Thank you 937 00:54:30,280 --> 00:54:35,879 Speaker 1: for keeping on this one, y'all. Good work from my head. 938 00:54:35,920 --> 00:54:38,600 Speaker 1: But yeah, I'm gonna quote from this report on the 939 00:54:38,640 --> 00:54:42,839 Speaker 1: fact that uh Facebook fraudulently hid the fact that one 940 00:54:42,880 --> 00:54:45,400 Speaker 1: of their information partners was violating their own policies and 941 00:54:45,400 --> 00:54:47,880 Speaker 1: spreading this information about an active plaque. And then and 942 00:54:47,920 --> 00:54:49,680 Speaker 1: then you need to take an adbreak, just you know, 943 00:54:49,920 --> 00:54:51,839 Speaker 1: I'll take an ad break now. Well, we'll get we'll 944 00:54:51,880 --> 00:54:55,680 Speaker 1: get we'll get to this afterwards. Because if there's one 945 00:54:55,719 --> 00:54:59,720 Speaker 1: thing that prepares me to hear about how democracies, both 946 00:55:00,040 --> 00:55:02,560 Speaker 1: in the nation I live and around the world are 947 00:55:02,640 --> 00:55:05,720 Speaker 1: being actively murdered for the profit of a man who's 948 00:55:05,719 --> 00:55:08,360 Speaker 1: already a billionaire, there's one thing that makes that easier 949 00:55:08,360 --> 00:55:11,920 Speaker 1: to take. It's products and services. It's the sweet lullaby 950 00:55:11,960 --> 00:55:15,960 Speaker 1: of a product or service. Ah, Nothing nothing keeps me 951 00:55:16,080 --> 00:55:21,520 Speaker 1: going gets me intellectually hard like a product or a service. 952 00:55:21,600 --> 00:55:23,680 Speaker 1: I want to be surrounded. I want to die surrounded 953 00:55:23,680 --> 00:55:27,040 Speaker 1: by my most beloved products and services. I have a 954 00:55:27,080 --> 00:55:29,279 Speaker 1: feeling that you will, because there's a good chance that 955 00:55:29,320 --> 00:55:32,080 Speaker 1: a horrible wildfire will sweep through the city you live in. 956 00:55:32,120 --> 00:55:36,319 Speaker 1: And sorry, that's getting too dark mine too, maybe, yeah, yeah, 957 00:55:36,320 --> 00:55:38,160 Speaker 1: as it to say, I'm like, hey, as long as 958 00:55:38,160 --> 00:55:41,120 Speaker 1: we're on the same same page there, that's great, And 959 00:55:41,160 --> 00:55:43,000 Speaker 1: it's okay if we make it out of that fire. 960 00:55:43,080 --> 00:55:46,720 Speaker 1: Facebook cool. And sure there's lots of armed and misinformed 961 00:55:46,760 --> 00:55:49,840 Speaker 1: militias waving guns wildly in the areas we attempt to 962 00:55:49,880 --> 00:55:51,880 Speaker 1: evacuate through. Well, as long as my death will have 963 00:55:51,920 --> 00:55:55,640 Speaker 1: been completely in vain. Yes, that's what Facebook promises for 964 00:55:55,680 --> 00:55:58,000 Speaker 1: all of us, and that's what products and services promise 965 00:55:58,080 --> 00:56:06,520 Speaker 1: for all of us. Here we go, Oh, all right, 966 00:56:06,600 --> 00:56:10,400 Speaker 1: we're back. So we're talking about how Facebook covered up 967 00:56:10,440 --> 00:56:13,160 Speaker 1: the fact that Briitbart was repeatedly spreading this information that 968 00:56:13,160 --> 00:56:15,760 Speaker 1: should have gotten them removed as a trusted partner quote 969 00:56:15,760 --> 00:56:19,120 Speaker 1: from BuzzFeed. Some of Facebook's own employees gathered evidence they 970 00:56:19,120 --> 00:56:21,840 Speaker 1: say shows Brightbart along with other right wing outlets and figures, 971 00:56:21,840 --> 00:56:25,360 Speaker 1: including Turning Point USA founder Charlie Kirk, Trump supporters Diamond 972 00:56:25,400 --> 00:56:29,440 Speaker 1: and Silk, and conservative video production nonprofit Prager University has 973 00:56:29,480 --> 00:56:32,520 Speaker 1: received special treatment that helped it avoid running a foul 974 00:56:32,560 --> 00:56:34,840 Speaker 1: of company policy. They see it as part of a 975 00:56:34,880 --> 00:56:37,720 Speaker 1: pattern of preferential treatment for right wing publishers and pages, 976 00:56:37,920 --> 00:56:40,040 Speaker 1: many of which have alleged that the social network is 977 00:56:40,080 --> 00:56:45,720 Speaker 1: biased against conservatives. On July, Facebook employee posted a message 978 00:56:45,719 --> 00:56:48,719 Speaker 1: to the company's internal misinformation policy group noting that some 979 00:56:48,840 --> 00:56:53,520 Speaker 1: misinformation strikes against Breitbart had been cleared by someone at Facebook, 980 00:56:53,760 --> 00:56:58,160 Speaker 1: seemingly acting on the publication's behalf. A Brightbart escalation marked 981 00:56:58,239 --> 00:57:00,480 Speaker 1: urgent end of day was resolved in the day, with 982 00:57:00,520 --> 00:57:03,440 Speaker 1: all misinformation strikes against Breitbart's page and against their domain 983 00:57:03,480 --> 00:57:06,960 Speaker 1: cleared without explanation, the employee wrote. The same employees set 984 00:57:07,000 --> 00:57:09,560 Speaker 1: up partly false rating applied to an Instagram post from 985 00:57:09,640 --> 00:57:13,120 Speaker 1: Charlie Kirk was flagged for priority escalation by Joel Kaplan, 986 00:57:13,160 --> 00:57:17,600 Speaker 1: the company's vice president of Global public Policy. Now, the 987 00:57:17,640 --> 00:57:20,480 Speaker 1: whole article itself details just a ton of other instances 988 00:57:20,480 --> 00:57:22,800 Speaker 1: in this, and it's all incredibly shady. I'm not going 989 00:57:22,840 --> 00:57:25,280 Speaker 1: to go into all of it and tremendous detail because 990 00:57:25,280 --> 00:57:27,360 Speaker 1: we are running out of time, But if you read 991 00:57:27,400 --> 00:57:30,760 Speaker 1: the article, it's extremely clear that Joel Kaplan is directing 992 00:57:30,840 --> 00:57:34,680 Speaker 1: Facebook to actively violate the company's own policies in order 993 00:57:34,680 --> 00:57:38,240 Speaker 1: to keep right wing bullshit peddlers spreading lies on the 994 00:57:38,320 --> 00:57:42,040 Speaker 1: platform for profit. Kaplan has faced no punishment for this, 995 00:57:42,160 --> 00:57:45,440 Speaker 1: although his behavior did provoke outrage from employees in in 996 00:57:45,560 --> 00:57:50,040 Speaker 1: Facebook's internal chat system applied to Daddy, that's how it goes. 997 00:57:50,680 --> 00:57:53,440 Speaker 1: Facebook employees are be getting angrier and angrier at this 998 00:57:53,520 --> 00:57:56,520 Speaker 1: sort of thing throughout the year. Remember back in May 999 00:57:56,600 --> 00:57:59,640 Speaker 1: when President Trump posted this message to Twitter and Facebook 1000 00:58:00,080 --> 00:58:03,720 Speaker 1: vote There is no way, zero that mail and ballots 1001 00:58:03,720 --> 00:58:06,880 Speaker 1: will be anything less than substantially fraudulent. Mailboxes will be robbed, 1002 00:58:06,880 --> 00:58:09,040 Speaker 1: Ballots will be forged and even illegally printed out and 1003 00:58:09,080 --> 00:58:11,720 Speaker 1: fraudulently signed. The governor of California is sending ballots to 1004 00:58:11,760 --> 00:58:14,000 Speaker 1: millions of people. Anyone living in the state, no matter 1005 00:58:14,000 --> 00:58:15,800 Speaker 1: who they are, how they got there, will get one 1006 00:58:16,240 --> 00:58:18,360 Speaker 1: that will be followed up with professionals telling all of 1007 00:58:18,360 --> 00:58:20,160 Speaker 1: these people, many of whom have never even thought of 1008 00:58:20,240 --> 00:58:23,080 Speaker 1: voting before, how and for whom to vote. This will 1009 00:58:23,120 --> 00:58:26,000 Speaker 1: be a rigged election no way. I do remember that 1010 00:58:26,080 --> 00:58:33,160 Speaker 1: Robert Twitter too. Again, it's unbeliod like like the mildest 1011 00:58:34,200 --> 00:58:37,880 Speaker 1: I could possibly give someone credit to that level of credit. 1012 00:58:37,920 --> 00:58:42,000 Speaker 1: Twitter fact checked the president's tweet, which was not nothing, 1013 00:58:42,080 --> 00:58:44,840 Speaker 1: and that's all I'll say about it. Marginally, that does 1014 00:58:44,880 --> 00:58:48,560 Speaker 1: not qualify as nothing. Again, that qualifies as the most 1015 00:58:48,640 --> 00:58:54,280 Speaker 1: responsible action that's made. A social media ceo. Took Mark, 1016 00:58:54,400 --> 00:58:56,640 Speaker 1: on the other hand, refused to let his employees do 1017 00:58:56,680 --> 00:59:00,200 Speaker 1: anything similar, allowing the president's flagrant misinformation to circular aid 1018 00:59:00,200 --> 00:59:03,440 Speaker 1: on his network. This enraged employees, and they got angrier 1019 00:59:03,520 --> 00:59:06,720 Speaker 1: when his when the Looting Starts the Shooting Starts post 1020 00:59:06,800 --> 00:59:10,040 Speaker 1: was let up. They created a group in workplace, their 1021 00:59:10,080 --> 00:59:14,880 Speaker 1: internal chat app, called Let's Fix Facebook parentheses the company. 1022 00:59:14,960 --> 00:59:18,800 Speaker 1: It now has about ten thousand members. One employee started 1023 00:59:18,800 --> 00:59:21,560 Speaker 1: a poll asking colleagues whether they agreed quote with our 1024 00:59:21,680 --> 00:59:25,200 Speaker 1: leadership's decisions this week regarding voting, misinformation and posts that 1025 00:59:25,240 --> 00:59:28,800 Speaker 1: may be considered to be inciting violence. A thousand respondents 1026 00:59:28,800 --> 00:59:31,600 Speaker 1: said the company had made the wrong decision on both posts, 1027 00:59:31,760 --> 00:59:34,080 Speaker 1: which is more than twenty times the number of responses 1028 00:59:34,080 --> 00:59:39,240 Speaker 1: who said otherwise. So. Facebook employees after this staged a 1029 00:59:39,360 --> 00:59:43,520 Speaker 1: digital walk out uh and they like changed their workplace 1030 00:59:43,560 --> 00:59:45,800 Speaker 1: avatars to a black and white fist and called out 1031 00:59:45,840 --> 00:59:50,080 Speaker 1: sick uh in mass, hundreds of them and stuff. Um 1032 00:59:50,160 --> 00:59:53,400 Speaker 1: and you know, yeah, I'm gonna quote from BuzzFeed again here. 1033 00:59:53,520 --> 00:59:56,720 Speaker 1: As Facebook grappled with yet another public relations crisis, employee 1034 00:59:56,720 --> 01:00:00,400 Speaker 1: morale plunged. Worker satisfaction metrics measured by mic A Pols 1035 01:00:00,480 --> 01:00:02,960 Speaker 1: surveys that are taken by hundreds of employees every week 1036 01:00:03,280 --> 01:00:06,400 Speaker 1: fell sharply after the ruling on Trump's looting post. According 1037 01:00:06,440 --> 01:00:09,200 Speaker 1: to data and obtained by BuzzFeed on June one, the 1038 01:00:09,240 --> 01:00:12,000 Speaker 1: day of the walkout, about forty five percent of employees 1039 01:00:12,040 --> 01:00:14,320 Speaker 1: said they agreed with the statement that Facebook was making 1040 01:00:14,320 --> 01:00:17,800 Speaker 1: the world better, down twenty five percentage points from the 1041 01:00:17,800 --> 01:00:21,520 Speaker 1: week before. That same day, Facebook's internal survey has showed 1042 01:00:21,560 --> 01:00:24,120 Speaker 1: that around forty four percent of employees were confident in 1043 01:00:24,480 --> 01:00:27,600 Speaker 1: Facebook leadership leading the company in the right direction, a 1044 01:00:27,680 --> 01:00:31,520 Speaker 1: thirty percentage point dropped from responses to that question have 1045 01:00:31,600 --> 01:00:34,120 Speaker 1: stayed around the lower mark as of earlier this month, 1046 01:00:34,480 --> 01:00:38,440 Speaker 1: so pretty significant drop and faith in the company from 1047 01:00:38,440 --> 01:00:43,440 Speaker 1: its employees. Um and yeah. Zuckerberg, the ultimate decision maker, 1048 01:00:43,520 --> 01:00:47,800 Speaker 1: according to Facebook's head of communications, initially defended his decision 1049 01:00:47,840 --> 01:00:50,720 Speaker 1: to leave Trump's looting post up without even hiding it 1050 01:00:50,760 --> 01:00:54,360 Speaker 1: like with a warning like Twitter, Mark stated quote, Unlike Twitter, 1051 01:00:54,520 --> 01:00:56,520 Speaker 1: we do not have a policy of putting a warning 1052 01:00:56,520 --> 01:00:58,600 Speaker 1: in front of posts that may incite violence, because we 1053 01:00:58,640 --> 01:01:00,919 Speaker 1: believe that if a post insights of violence, it should 1054 01:01:00,960 --> 01:01:03,640 Speaker 1: be removed, regardless of whether or not it's newsmorthy, even 1055 01:01:03,640 --> 01:01:05,880 Speaker 1: if it comes from a politician. So you have to 1056 01:01:05,960 --> 01:01:08,560 Speaker 1: wait for their to be violence and study and then 1057 01:01:08,640 --> 01:01:10,960 Speaker 1: be like, oh, it turns out that post was actually 1058 01:01:11,040 --> 01:01:13,560 Speaker 1: very bad and we should take it down. There I 1059 01:01:13,680 --> 01:01:16,920 Speaker 1: get the amount of bodies that he needs attached to 1060 01:01:17,000 --> 01:01:22,240 Speaker 1: do a single thing is staggering. Four days later, Mark 1061 01:01:22,280 --> 01:01:25,880 Speaker 1: backtracked from BuzzFeed quote. In comments at a company wine 1062 01:01:25,880 --> 01:01:28,600 Speaker 1: meeting on June two that were first reported by recode. Facebooks, 1063 01:01:28,600 --> 01:01:31,240 Speaker 1: founders said the company was considering adding labels to post 1064 01:01:31,280 --> 01:01:33,680 Speaker 1: from world leaders that incite violence. He followed that up 1065 01:01:33,720 --> 01:01:35,840 Speaker 1: with the Facebook post three days later, in which he 1066 01:01:35,880 --> 01:01:39,280 Speaker 1: declared black lives matter and made promises that the company 1067 01:01:39,280 --> 01:01:42,600 Speaker 1: would review policies on content discussing excessive use of police 1068 01:01:42,640 --> 01:01:46,520 Speaker 1: or state force. What material effect does any of this have, 1069 01:01:46,680 --> 01:01:50,840 Speaker 1: one employee asked in workplace, openly challenging the CEO commitments 1070 01:01:50,880 --> 01:01:53,560 Speaker 1: to review offer nothing material has anything changed for you 1071 01:01:53,600 --> 01:01:55,480 Speaker 1: in a meaningful way? Are you at all willing to 1072 01:01:55,520 --> 01:01:58,840 Speaker 1: be wrong here? Mark didn't respond to this, but on 1073 01:01:58,880 --> 01:02:01,760 Speaker 1: the sly a month of June. Nearly a month later, 1074 01:02:01,760 --> 01:02:04,400 Speaker 1: he posted a clarification to his remarks, noting that any 1075 01:02:04,440 --> 01:02:06,560 Speaker 1: post that is determined to be inciting violence will be 1076 01:02:06,600 --> 01:02:10,680 Speaker 1: taken down. Employee dissatisfaction has continued to swell over the 1077 01:02:10,720 --> 01:02:13,880 Speaker 1: course of the summer. One senior employee, Max Wang, even 1078 01:02:13,880 --> 01:02:17,200 Speaker 1: recorded a twenty four minute long video for his colleagues 1079 01:02:17,200 --> 01:02:19,640 Speaker 1: and BuzzFeed and another article has the all the audio 1080 01:02:19,680 --> 01:02:22,920 Speaker 1: for this, It's worth listening to. In the video, Max 1081 01:02:22,960 --> 01:02:26,720 Speaker 1: outlines why he can't morally justify working for Facebook anymore, 1082 01:02:26,760 --> 01:02:29,040 Speaker 1: and he's a pretty early employee. I think his video 1083 01:02:29,120 --> 01:02:32,240 Speaker 1: quotes at length from books on totalitarianism by Hannah Arrent, 1084 01:02:32,360 --> 01:02:36,280 Speaker 1: who was one of like the great scholars of the Holocaust. Yeah. 1085 01:02:36,840 --> 01:02:40,280 Speaker 1: He shared the video on workplace with a note that started, 1086 01:02:40,760 --> 01:02:47,640 Speaker 1: I think Facebook is hurting people at scale? Yes, yes, yeah, yes, 1087 01:02:47,720 --> 01:02:54,520 Speaker 1: it is absolutely yeah. Yeah. Like Emperor Augustus who had 1088 01:02:54,520 --> 01:02:57,440 Speaker 1: members of his own family killed for disobedience, Mark did 1089 01:02:57,480 --> 01:03:00,760 Speaker 1: not like being questioned and gasp dista proved of by 1090 01:03:00,760 --> 01:03:03,560 Speaker 1: his own employees. On Juno leventh, he hosted a life 1091 01:03:03,640 --> 01:03:06,080 Speaker 1: Q and A where he delivered a message to employees 1092 01:03:06,120 --> 01:03:09,560 Speaker 1: who were angry at his enabling of hideously violent fascist rhetoric. 1093 01:03:09,640 --> 01:03:11,160 Speaker 1: This is a lot of this isn't like I think 1094 01:03:11,200 --> 01:03:14,440 Speaker 1: response to yeah, the killings and such. I've been very 1095 01:03:14,480 --> 01:03:17,440 Speaker 1: worried about the level of disrespect and in some cases 1096 01:03:17,480 --> 01:03:19,480 Speaker 1: of vitriol that a lot of people in our internal 1097 01:03:19,480 --> 01:03:22,040 Speaker 1: community are directing towards each other as part of these debates. 1098 01:03:22,240 --> 01:03:24,880 Speaker 1: If you're bullying your fellow colleagues into taking a position 1099 01:03:24,920 --> 01:03:30,040 Speaker 1: on something, then we will fire you. Mm hmm, well, 1100 01:03:30,200 --> 01:03:34,400 Speaker 1: uh good. You know. The the amount of consistency I mean, 1101 01:03:34,480 --> 01:03:38,440 Speaker 1: you gotta appreciate it that. I'm really glad that employee 1102 01:03:38,480 --> 01:03:41,200 Speaker 1: I mean just spoke directly about because it's like, at 1103 01:03:41,240 --> 01:03:44,120 Speaker 1: what point, truly, what do you have to lose, Like 1104 01:03:44,640 --> 01:03:46,760 Speaker 1: I guess except for your life depending on how Mark 1105 01:03:46,840 --> 01:03:49,600 Speaker 1: Zacher wants to go about it. But I mean, it's 1106 01:03:51,200 --> 01:03:54,320 Speaker 1: I don't know, it's it is. It is so frustrating, 1107 01:03:54,360 --> 01:03:55,880 Speaker 1: even though it's like I don't know what else to 1108 01:03:55,920 --> 01:03:59,440 Speaker 1: do other than you know, whatever, some some ship and minecraft. 1109 01:04:00,040 --> 01:04:04,320 Speaker 1: But because people are continually waiting for this person and 1110 01:04:04,400 --> 01:04:06,800 Speaker 1: this company to act in the best interest. It's like, 1111 01:04:06,880 --> 01:04:09,920 Speaker 1: it's not when has it ever happened? Name a time, 1112 01:04:10,000 --> 01:04:14,440 Speaker 1: even in the face of like the most brutal public disapproval. 1113 01:04:14,600 --> 01:04:19,040 Speaker 1: There's too much. It's amazing. As you're saying all this, 1114 01:04:19,120 --> 01:04:21,360 Speaker 1: and as I just finished the thing that I'm saying, 1115 01:04:21,360 --> 01:04:25,800 Speaker 1: a Bloomberg story just dropped. Like as we were recording 1116 01:04:25,800 --> 01:04:27,960 Speaker 1: this episode, I'm just gonna read you. I haven't read 1117 01:04:28,000 --> 01:04:30,520 Speaker 1: the story. I'm just gonna read you the title. Facebook 1118 01:04:30,560 --> 01:04:39,920 Speaker 1: accused of watching Instagram users through cameras no fucking rules. 1119 01:04:39,920 --> 01:04:42,920 Speaker 1: Oh my god, it's so good. Have we talked about 1120 01:04:42,960 --> 01:04:45,240 Speaker 1: that before though, because I have. I've had that issue 1121 01:04:45,240 --> 01:04:48,200 Speaker 1: with Instagram before where I'll close out Instagram and then 1122 01:04:48,200 --> 01:04:51,840 Speaker 1: you'll see the uh, the little section of your iPhone 1123 01:04:51,840 --> 01:04:55,800 Speaker 1: in the top left where where it indicates that you're 1124 01:04:55,960 --> 01:05:02,880 Speaker 1: being recorded. Uh, it goes it turns like when I listeners. 1125 01:05:02,920 --> 01:05:04,520 Speaker 1: Let me know if you've had a similar issue. Sometimes 1126 01:05:04,520 --> 01:05:06,720 Speaker 1: when I close Instagram, it looks like my phone just 1127 01:05:06,760 --> 01:05:09,160 Speaker 1: stopped recording, but it goes away really quickly. It's like 1128 01:05:09,160 --> 01:05:12,080 Speaker 1: I'm a mill a second that it's It happens all 1129 01:05:12,080 --> 01:05:16,200 Speaker 1: the time. So that is not shocking at all. It 1130 01:05:16,480 --> 01:05:20,680 Speaker 1: bury doo. I don't know what I'm going to actually 1131 01:05:20,720 --> 01:05:23,720 Speaker 1: title this Um, I don't know what I'm actually gonna 1132 01:05:23,760 --> 01:05:27,360 Speaker 1: title this episode. The working title that I started this 1133 01:05:27,480 --> 01:05:30,760 Speaker 1: under was Mark Zuckerberg needs to be tried in the 1134 01:05:30,840 --> 01:05:34,080 Speaker 1: Hague and hung in public until dead. But I don't 1135 01:05:34,160 --> 01:05:36,960 Speaker 1: think legal is gonna let me go with that title. 1136 01:05:37,920 --> 01:05:41,840 Speaker 1: I think it's clickable. I think it's clickable as Yeah, 1137 01:05:41,880 --> 01:05:44,480 Speaker 1: I think you'd get great engagement on that. Um, I 1138 01:05:44,480 --> 01:05:47,600 Speaker 1: mean that's what he'd want. Yeah, we may have to 1139 01:05:47,600 --> 01:05:49,520 Speaker 1: go with a different time. I mean, I'm not urging 1140 01:05:49,560 --> 01:05:51,760 Speaker 1: a legal behavior. I'm urging that he'd be tried in 1141 01:05:51,840 --> 01:05:55,240 Speaker 1: the International Criminal Court and then, once convicted, hung until 1142 01:05:55,280 --> 01:05:59,000 Speaker 1: the by the neck until dead for his crimes um, 1143 01:05:59,040 --> 01:06:02,280 Speaker 1: which is what you do when a world leader commits genocide, 1144 01:06:02,880 --> 01:06:07,240 Speaker 1: right right, Yeah, it's true, But I probably won't title 1145 01:06:07,320 --> 01:06:10,560 Speaker 1: the episode that. I don't know. I mean, I'm glad 1146 01:06:10,560 --> 01:06:12,760 Speaker 1: you put it out there, though, let's let's not take 1147 01:06:12,760 --> 01:06:14,760 Speaker 1: it out of the running. Yeah, there's a number of 1148 01:06:14,760 --> 01:06:21,520 Speaker 1: other options. I mean, Mark Suckerberg continues to disrupt two 1149 01:06:21,600 --> 01:06:24,320 Speaker 1: hundred years of peace. There's so many options. I can't 1150 01:06:24,360 --> 01:06:26,439 Speaker 1: wait for the two hundred years of peace that only 1151 01:06:26,480 --> 01:06:30,640 Speaker 1: involved dozens of worse. Yeah, I mean it was if 1152 01:06:30,640 --> 01:06:33,200 Speaker 1: the two hundred years of piece began in two thousand 1153 01:06:33,280 --> 01:06:36,439 Speaker 1: and four, imagine how much peace we have to look 1154 01:06:36,480 --> 01:06:38,800 Speaker 1: forward to. I think it's similar to the amount of 1155 01:06:38,800 --> 01:06:44,560 Speaker 1: peace I brought that trailer park. There, this, this, this, 1156 01:06:44,800 --> 01:06:47,680 Speaker 1: you're you're you're a little sick. Oh, you're a little 1157 01:06:47,680 --> 01:06:53,800 Speaker 1: sick of I know it, I know it. Well, we're 1158 01:06:53,840 --> 01:07:04,520 Speaker 1: all gone be fine, Fine, We're gonna be great. Yeah 1159 01:07:04,840 --> 01:07:07,760 Speaker 1: you want to plug some ship? Yeah yeah, thank you 1160 01:07:07,800 --> 01:07:11,600 Speaker 1: for disrupting my life and intersense of peace once. It's 1161 01:07:11,680 --> 01:07:17,280 Speaker 1: always be disrupted. It's always been a pr You've always 1162 01:07:17,280 --> 01:07:21,600 Speaker 1: been a huge disruptor. And uh yeah, you can follow 1163 01:07:21,640 --> 01:07:26,680 Speaker 1: me on Twitter or Instagram, which is watching me right now. Uh. 1164 01:07:26,720 --> 01:07:31,400 Speaker 1: And then if you want to contribute to a candidate 1165 01:07:31,520 --> 01:07:36,080 Speaker 1: that I love, uh Fatima Ball Zubert. We're doing a 1166 01:07:36,120 --> 01:07:41,200 Speaker 1: live read of the Twilight Script this Friday evening, five 1167 01:07:41,280 --> 01:07:46,400 Speaker 1: pm Pacific. That sounds very exciting. It is something to 1168 01:07:46,480 --> 01:07:53,760 Speaker 1: do to distract yourself from the void. See you there, 1169 01:07:54,520 --> 01:08:00,160 Speaker 1: see you there, and I am going to be uh um, 1170 01:08:03,320 --> 01:08:06,800 Speaker 1: you know he's lost doing the thing that I normally do, 1171 01:08:07,040 --> 01:08:10,520 Speaker 1: which is staring into the Abyss and going, hey, hey, 1172 01:08:10,640 --> 01:08:14,920 Speaker 1: quit being an abyss. You really bumming us all out, Abyss. 1173 01:08:15,240 --> 01:08:17,720 Speaker 1: And the Abyss is like you and the abyss have 1174 01:08:17,920 --> 01:08:20,840 Speaker 1: great chemistry. We do, we do, And the Abyss has 1175 01:08:20,880 --> 01:08:23,080 Speaker 1: made me a lot of money, a lot of money, 1176 01:08:23,120 --> 01:08:26,280 Speaker 1: which is something that I feel very very conflicted about. 1177 01:08:26,520 --> 01:08:29,479 Speaker 1: The abysses is rich. That's the thing that Nietzsche missed 1178 01:08:29,520 --> 01:08:32,280 Speaker 1: is sometimes when you stare into the Abyss you get 1179 01:08:32,280 --> 01:08:36,200 Speaker 1: a six figure salary because it's incredibly profitable to talk 1180 01:08:36,240 --> 01:08:39,640 Speaker 1: about the Abyss on a podcast. Yeah, the Abyss has 1181 01:08:38,920 --> 01:08:44,920 Speaker 1: facial recognition software and it's pretending to be me elsewhere. Yeah, Jamie, 1182 01:08:44,960 --> 01:08:51,639 Speaker 1: the abyss loftus, that's what I've been called. You can 1183 01:08:51,720 --> 01:08:55,479 Speaker 1: follow us on Twitter and Instagram, where you're probably being 1184 01:08:55,520 --> 01:08:58,000 Speaker 1: watched at Bastard Pod. You can follow Robert on Twitter 1185 01:08:58,040 --> 01:09:01,000 Speaker 1: and I right, okay. You can buy stuff from our 1186 01:09:01,080 --> 01:09:06,000 Speaker 1: te public store and also the best Dolkasti public store, uh, 1187 01:09:06,120 --> 01:09:09,320 Speaker 1: where Jamie designs all the artwork for that and it's 1188 01:09:09,360 --> 01:09:15,960 Speaker 1: amazing And yeah, I think I covered everything. Wher hands 1189 01:09:16,560 --> 01:09:23,200 Speaker 1: wear a mask. Yeah, Bert, did I show you my 1190 01:09:23,360 --> 01:09:26,400 Speaker 1: bedazzled bolt cutters. I'll send you a picture of them 1191 01:09:26,600 --> 01:09:29,280 Speaker 1: by Bultcutters. No, I would love to see your bedazzle 1192 01:09:29,360 --> 01:09:31,400 Speaker 1: bowl cutter. Yeah I have. I have a pair of 1193 01:09:31,400 --> 01:09:34,479 Speaker 1: bolt cutters that are still usable but also mostly covered 1194 01:09:34,479 --> 01:09:38,559 Speaker 1: in red stones. I'll send it to you. Yeah, that's 1195 01:09:38,640 --> 01:09:44,519 Speaker 1: the episode. Hell yeah,