1 00:00:00,040 --> 00:00:08,440 Speaker 1: M podcast. I'm Robert Evans. This is Behind the Bastards. 2 00:00:10,000 --> 00:00:12,680 Speaker 1: Sophie is angry at me for that opening. Uh. This 3 00:00:12,760 --> 00:00:15,040 Speaker 1: is the podcast when we talk about all the things 4 00:00:15,040 --> 00:00:17,440 Speaker 1: you didn't know about terrible people. Uh, and we laughed 5 00:00:17,440 --> 00:00:20,040 Speaker 1: and sometimes too. We're talking about Mark Zuckerberg. This is 6 00:00:20,120 --> 00:00:22,439 Speaker 1: part two, so you shouldn't need a normal intro if 7 00:00:22,440 --> 00:00:24,560 Speaker 1: you're listening to part two. You saw in the title 8 00:00:24,680 --> 00:00:26,920 Speaker 1: this is part two. You know what? You know what's 9 00:00:26,960 --> 00:00:30,200 Speaker 1: going on here. My guests, as always on podcasts about 10 00:00:30,200 --> 00:00:35,000 Speaker 1: Mark Zuckerberg, Jamie Loftus and Maggie may Fish. We're nice 11 00:00:35,000 --> 00:00:37,400 Speaker 1: and warm from part one, maybe from part one and 12 00:00:37,440 --> 00:00:42,519 Speaker 1: from the delightful internal heating effect of Brito's. Yeah, I 13 00:00:42,560 --> 00:00:44,720 Speaker 1: feel the fern is deep in my belly and right 14 00:00:44,720 --> 00:00:47,720 Speaker 1: next to my uterus is nice. The powders coursing through 15 00:00:47,720 --> 00:00:51,640 Speaker 1: my main clogging my blood stream like a diet any second, 16 00:00:51,720 --> 00:01:00,640 Speaker 1: not clogging enhancing? Now, Oh god, that is a good dorito? 17 00:01:01,120 --> 00:01:06,160 Speaker 1: Is there a bad dorito? No? No, there's not fantastic. 18 00:01:06,360 --> 00:01:10,880 Speaker 1: You all ready to talk about marzuck some more? Marzak. 19 00:01:11,280 --> 00:01:16,240 Speaker 1: It's Mike Marwin. Welcome, Welcome to Marzak. For someone who 20 00:01:16,240 --> 00:01:21,679 Speaker 1: gets beaten by a Facebook hate mob. Welcome to Marzak everyone. 21 00:01:23,840 --> 00:01:26,720 Speaker 1: So the bloom is well and truly off the rows 22 00:01:26,840 --> 00:01:28,800 Speaker 1: of Facebook. In the wake of the two thousand and 23 00:01:28,840 --> 00:01:32,720 Speaker 1: sixteen election, criticizing the social media company has become so common, 24 00:01:32,800 --> 00:01:35,360 Speaker 1: as of articles declaring that young people have increasingly left 25 00:01:35,360 --> 00:01:37,360 Speaker 1: the service behind, that it can be very easy to 26 00:01:37,440 --> 00:01:40,199 Speaker 1: forget just what a darling Facebook was in its early days. 27 00:01:40,800 --> 00:01:42,880 Speaker 1: I was a tech journalist in the wild and wooly 28 00:01:43,040 --> 00:01:45,559 Speaker 1: era of two thousand and ten, when Facebook was cracking 29 00:01:45,600 --> 00:01:48,040 Speaker 1: new number milestones every couple of months. I remember when 30 00:01:48,040 --> 00:01:50,280 Speaker 1: they had half a billion and eventually a billion. We 31 00:01:50,320 --> 00:01:52,640 Speaker 1: would all write articles about Facebook. There's many people are 32 00:01:52,640 --> 00:01:54,800 Speaker 1: on Facebook. There's how much time there's been. Look at 33 00:01:54,840 --> 00:01:57,200 Speaker 1: all this great stuff. Now. There was a lot of 34 00:01:57,240 --> 00:01:59,680 Speaker 1: excitement about what Facebook might mean for the future back 35 00:01:59,720 --> 00:02:01,920 Speaker 1: then from most of the tech media. It lasted right 36 00:02:02,000 --> 00:02:04,480 Speaker 1: up until the election. I found a Business Insider article 37 00:02:04,520 --> 00:02:07,080 Speaker 1: from two thousand fifteen that illustrates this pretty well. It's 38 00:02:07,080 --> 00:02:09,960 Speaker 1: titled the Fabulous Life of Mark Zuckerberg. To give you 39 00:02:09,960 --> 00:02:12,920 Speaker 1: an idea of its tone, here's the line from the introduction. 40 00:02:13,720 --> 00:02:16,640 Speaker 1: The Harvard droughtouts current net Worth is at about thirty 41 00:02:16,680 --> 00:02:19,680 Speaker 1: three point four billion, putting him at number sixteen on 42 00:02:19,760 --> 00:02:23,120 Speaker 1: Forbes ranking of the world's billionaires. Here's a closer look 43 00:02:23,160 --> 00:02:25,720 Speaker 1: at the life of the simultaneously down to earth yet 44 00:02:25,720 --> 00:02:30,680 Speaker 1: extravagant CEO. Now, if this report is opending that no 45 00:02:30,720 --> 00:02:32,880 Speaker 1: one worth thirty three billion dollars can never be considered 46 00:02:32,880 --> 00:02:35,600 Speaker 1: down to earth, but hey, maybe I got some sour grapes. 47 00:02:36,240 --> 00:02:38,120 Speaker 1: It is interesting to me that this seems to be 48 00:02:38,160 --> 00:02:41,520 Speaker 1: a carefully concocted market employ used by Zuckerberg. The first 49 00:02:41,560 --> 00:02:43,440 Speaker 1: big book about facebooks founding, the book that was the 50 00:02:43,440 --> 00:02:45,519 Speaker 1: basis for the movie The Social Network, was titled The 51 00:02:45,520 --> 00:02:52,639 Speaker 1: Accidental Billionaires Wants to Push They stumbled into it. Oops, 52 00:02:53,280 --> 00:02:57,280 Speaker 1: I wound up with more wealth than most of Africas. 53 00:02:58,320 --> 00:03:02,000 Speaker 1: Oops tootles. I can't be doing wrong if I'm successful. 54 00:03:02,080 --> 00:03:04,160 Speaker 1: If it was, if I just Mr Magoon my way 55 00:03:04,160 --> 00:03:06,360 Speaker 1: into a pile of money the size of the Sears Tower, 56 00:03:06,560 --> 00:03:09,000 Speaker 1: I can't even grow a beard. Guys, I'm just gonna 57 00:03:09,040 --> 00:03:10,919 Speaker 1: keep making fun of this. There's not actually as much 58 00:03:11,000 --> 00:03:13,440 Speaker 1: cash in existence as I have in my bank account. 59 00:03:15,440 --> 00:03:20,360 Speaker 1: Mark Zuckerberg. Yeah, now, uh. The Business Insider article with 60 00:03:20,360 --> 00:03:23,120 Speaker 1: all of its flawed and fawning pros, still provides a 61 00:03:23,160 --> 00:03:25,679 Speaker 1: decent little look at Zuck's early life. It makes a 62 00:03:25,720 --> 00:03:28,760 Speaker 1: point of really really going into Mark's bona fides as 63 00:03:28,800 --> 00:03:34,960 Speaker 1: a legit smart guy that he who is to be 64 00:03:35,280 --> 00:03:40,360 Speaker 1: very sensitive about his intelligence. I could the size of 65 00:03:40,440 --> 00:03:46,000 Speaker 1: his intelligence. Interesting fun fact, Maggie, I could. I could 66 00:03:46,120 --> 00:03:49,600 Speaker 1: taste the anger in your voice. Really was. It was 67 00:03:49,640 --> 00:03:55,880 Speaker 1: almost like a derrito literally. Yea of the things that 68 00:03:55,920 --> 00:03:59,680 Speaker 1: I've noticed, like just having immersed myself in zuckernus um, 69 00:03:59,760 --> 00:04:05,240 Speaker 1: he is extremely protective of the idea that he is 70 00:04:05,280 --> 00:04:09,160 Speaker 1: a genius um on all things and not just Facebook, 71 00:04:09,320 --> 00:04:15,840 Speaker 1: So I mean, he's not in men. But how's that 72 00:04:15,840 --> 00:04:21,960 Speaker 1: boop threat on Facebook? Mental love Facebook? To be fair, 73 00:04:22,040 --> 00:04:24,880 Speaker 1: It's where they spread all their hate to It is 74 00:04:24,920 --> 00:04:26,640 Speaker 1: the platform that they need to have to do it. 75 00:04:26,880 --> 00:04:29,359 Speaker 1: So they earned it. They paid seventy five dollars to 76 00:04:29,400 --> 00:04:34,800 Speaker 1: take a test on a Sunday. Oh, I Q. Tests 77 00:04:34,800 --> 00:04:39,160 Speaker 1: are bastard, almost as terrible as Mark Zuckerberg. But that'll 78 00:04:39,200 --> 00:04:42,120 Speaker 1: be for our Stefan Mala new episode. I'm going to 79 00:04:42,200 --> 00:04:44,960 Speaker 1: read a quote from that Business Insider article about how 80 00:04:45,000 --> 00:04:48,920 Speaker 1: smart Mark Zuckerberg to hear he wasn't just a computer nerd. Though. 81 00:04:49,120 --> 00:04:52,039 Speaker 1: Zuck loved the classics, the Odyssey and the like, and 82 00:04:52,080 --> 00:04:57,440 Speaker 1: he became captain of the high school. Like yes, yes, 83 00:05:00,000 --> 00:05:02,360 Speaker 1: I figured the writer being like, what's the second book 84 00:05:02,400 --> 00:05:05,560 Speaker 1: with the second book? Second classic book. Well, and there 85 00:05:05,600 --> 00:05:07,120 Speaker 1: was an article that I read that was like he 86 00:05:07,200 --> 00:05:11,280 Speaker 1: loves the Greek classics, you know, like talking about that 87 00:05:11,320 --> 00:05:13,920 Speaker 1: at the very end, that's a Latin classic. Yeah, there's 88 00:05:13,920 --> 00:05:18,239 Speaker 1: a Latin classic. It's actually Roman propaganda written by Virgil 89 00:05:18,360 --> 00:05:21,360 Speaker 1: so that he could make the case that Octavian had 90 00:05:21,440 --> 00:05:23,720 Speaker 1: like a deep connection to like Roman history. Like it 91 00:05:23,760 --> 00:05:27,560 Speaker 1: was literally a propaganda novel to rewrite Roman history in 92 00:05:27,680 --> 00:05:31,599 Speaker 1: the image of Octavian after Octavian destroyed the Republican you know, 93 00:05:31,680 --> 00:05:34,520 Speaker 1: the Greek classics, the Greek classics, the Greek classics, like 94 00:05:34,560 --> 00:05:38,279 Speaker 1: this Roman propaganda novel. Yeah, I hate Harry Potter culture, 95 00:05:38,320 --> 00:05:42,080 Speaker 1: but there is a very like, uh, like a disgruntled 96 00:05:42,160 --> 00:05:46,800 Speaker 1: hufflepuff vibe to Mark Zuckerberg, like he wants to be 97 00:05:47,200 --> 00:05:52,120 Speaker 1: in anywhere else, Mark Huffelberg. Now the article goes through 98 00:05:52,160 --> 00:05:54,320 Speaker 1: some of the gushi er us were the details of 99 00:05:54,360 --> 00:05:57,480 Speaker 1: Zuckerberg's charmed life since starting Facebook. For example, here's what 100 00:05:57,520 --> 00:06:03,440 Speaker 1: it says about his wedding to Priscilla Chandan Days No Days. 101 00:06:03,560 --> 00:06:07,479 Speaker 1: Billy Joel Armstrong performed and Mark designed Priscilla's ruby ring. 102 00:06:07,560 --> 00:06:13,480 Speaker 1: Himself performed at their wedding, and he designed and in 103 00:06:13,560 --> 00:06:15,880 Speaker 1: The Excellent Billionaires makes a point of when it's talking 104 00:06:15,880 --> 00:06:18,080 Speaker 1: about like the place that everyone at Facebook lived in 105 00:06:18,120 --> 00:06:20,200 Speaker 1: when they all first moved to California, that they were 106 00:06:20,200 --> 00:06:22,400 Speaker 1: always playing Green Day because they're so into punk rock. 107 00:06:24,600 --> 00:06:31,560 Speaker 1: They're guys, you heard of this record called What What Era? 108 00:06:31,720 --> 00:06:35,200 Speaker 1: This has to be like post American idiot. It's gotta 109 00:06:35,240 --> 00:06:45,279 Speaker 1: be righting. It's really exciting. Now. The few details about 110 00:06:45,400 --> 00:06:47,400 Speaker 1: his life that Mark lets out into the public sphere 111 00:06:47,440 --> 00:06:50,039 Speaker 1: are carefully curated. He's one of the many Silicon Valley 112 00:06:50,080 --> 00:06:52,280 Speaker 1: CEOs who takes a token one dollar a year salary. 113 00:06:52,360 --> 00:06:54,919 Speaker 1: You'll always hear that. Of course, that number ignores what 114 00:06:55,000 --> 00:06:57,120 Speaker 1: he makes in stock, and it ignores expenses like the 115 00:06:57,120 --> 00:06:59,599 Speaker 1: six and ten thousand, four hundred and fifty four dollars 116 00:06:59,600 --> 00:07:01,800 Speaker 1: Facebook spent in two thousand fourteen to chart our private 117 00:07:01,880 --> 00:07:04,559 Speaker 1: jets for Mark and his friends. The Business Insider article 118 00:07:04,600 --> 00:07:06,920 Speaker 1: and many other pro Zack pieces I have read make 119 00:07:06,960 --> 00:07:08,080 Speaker 1: a lot of hay out of the fact that he 120 00:07:08,120 --> 00:07:10,920 Speaker 1: doesn't drive a fancy car, instead preferring a Volkswagen g 121 00:07:11,080 --> 00:07:14,600 Speaker 1: T I that only costs thirty dollars. Now, if you've 122 00:07:14,600 --> 00:07:16,320 Speaker 1: got that kind of money, Mark Zuckerberg, Gas, I don't 123 00:07:16,360 --> 00:07:17,800 Speaker 1: think you should have it. But if you got it 124 00:07:17,800 --> 00:07:20,080 Speaker 1: and you're going to buy a car, you're an idiot. 125 00:07:20,120 --> 00:07:22,280 Speaker 1: If you buy a car that anybody can buy, get 126 00:07:22,280 --> 00:07:25,520 Speaker 1: a fucking blimp like that Google guy. At least it's 127 00:07:25,560 --> 00:07:29,200 Speaker 1: even more sussed to get a right like, Hello, fellow kids, 128 00:07:29,240 --> 00:07:32,080 Speaker 1: I am just like you. I drive Volkswagen like you 129 00:07:32,960 --> 00:07:41,080 Speaker 1: are all Volkswagons. You have to tape the gash Sucker 130 00:07:41,600 --> 00:07:44,320 Speaker 1: somewhere now. While Facebook was expanding and the world was 131 00:07:44,360 --> 00:07:46,640 Speaker 1: falling in love with marky Zack, there were signs that 132 00:07:46,680 --> 00:07:51,560 Speaker 1: everyone's favorite new tech book, there were signs that everyone's 133 00:07:51,560 --> 00:07:54,320 Speaker 1: favorite new tech billionaire was maybe not the nicest dude 134 00:07:54,360 --> 00:07:57,560 Speaker 1: to be around. Noah Kagan worked for Facebook for nine 135 00:07:57,560 --> 00:07:59,520 Speaker 1: months in two thousand five, back when the company was 136 00:07:59,560 --> 00:08:03,000 Speaker 1: first start its meteoric rise to world dominance. Kagan later 137 00:08:03,000 --> 00:08:05,280 Speaker 1: wrote an e book that touched on his experiences there. 138 00:08:05,440 --> 00:08:07,760 Speaker 1: In it, he recalled Mark Zuckerberg pouring water on an 139 00:08:07,760 --> 00:08:10,600 Speaker 1: engineer's computer after a product demo that he thought looked 140 00:08:10,640 --> 00:08:15,480 Speaker 1: like quote shit. Here's a quote from Kegan's e book. Well, 141 00:08:15,520 --> 00:08:17,560 Speaker 1: I don't remember the feature we were working on. Engineer 142 00:08:17,640 --> 00:08:19,640 Speaker 1: Chris Puttenham and I had spent almost a month building 143 00:08:19,680 --> 00:08:21,840 Speaker 1: something we thought Mark would love. He walks to Chris's 144 00:08:21,840 --> 00:08:24,280 Speaker 1: computer and we demo the product to Mark. Mark thought 145 00:08:24,320 --> 00:08:26,680 Speaker 1: it was ship. I know so because instead of giving 146 00:08:26,680 --> 00:08:30,200 Speaker 1: product feedback, he screamed, this is ship. Redo it, throw 147 00:08:30,240 --> 00:08:32,560 Speaker 1: water on Chris's computer and walked away. All of us 148 00:08:32,559 --> 00:08:36,280 Speaker 1: stood around in shock. Kagan also claims that Zuck, like 149 00:08:36,440 --> 00:08:39,080 Speaker 1: far right gang leader Gavin McGinnis, has a distinct fondness 150 00:08:39,080 --> 00:08:51,319 Speaker 1: for samurai swords. Oh sword, we get it out, dude. 151 00:08:51,520 --> 00:08:53,680 Speaker 1: I remember my first sword guy when it was before 152 00:08:53,720 --> 00:08:56,240 Speaker 1: I had the language to identify a sword guy, and 153 00:08:56,280 --> 00:08:58,160 Speaker 1: I was like, well, I know I feel unsafe, but 154 00:08:58,200 --> 00:09:01,120 Speaker 1: there's more to it than that. It's more than just 155 00:09:01,160 --> 00:09:05,920 Speaker 1: a general unease that I have. I also feel bad 156 00:09:06,000 --> 00:09:10,439 Speaker 1: for this could so easily kill me with a samurai 157 00:09:10,480 --> 00:09:12,480 Speaker 1: saw that he bought forty five dollars at the gas station. 158 00:09:12,679 --> 00:09:17,160 Speaker 1: Yeah about Stanford, and bought stand always by a stand. 159 00:09:17,280 --> 00:09:21,200 Speaker 1: Well he need you just need to see it. Yeah, 160 00:09:21,080 --> 00:09:24,360 Speaker 1: what is he going to hide it? No? No, no, no, 161 00:09:25,000 --> 00:09:27,680 Speaker 1: I want you to know exactly what I'm like. Yeah, 162 00:09:27,720 --> 00:09:30,240 Speaker 1: I'm like this what I would use to kill you. 163 00:09:30,640 --> 00:09:32,200 Speaker 1: I know I look like this guy, but I'm also 164 00:09:32,360 --> 00:09:37,520 Speaker 1: this guy. Now, are you guys ready for the samurai 165 00:09:37,559 --> 00:09:41,080 Speaker 1: sword story? Yes? Pretty good, It's pretty good. This is 166 00:09:41,120 --> 00:09:44,120 Speaker 1: like when Kaddafi had his astronaut short story. This is 167 00:09:44,160 --> 00:09:48,280 Speaker 1: the mark of quote. He'd walk around with a samurai sword, 168 00:09:48,320 --> 00:09:50,600 Speaker 1: fake threatening to attack you for bad work. Where the 169 00:09:50,600 --> 00:09:52,640 Speaker 1: hell he got that samurai sword? Who the hell knows? 170 00:09:52,760 --> 00:09:54,720 Speaker 1: Luckily no employees were harmed while I was there. He'd 171 00:09:54,720 --> 00:09:56,560 Speaker 1: come around and pretend to cut you, joking. If you 172 00:09:56,600 --> 00:09:58,480 Speaker 1: take down the site, he'll chop your head off. You 173 00:09:58,520 --> 00:10:00,000 Speaker 1: have to remember you have a twenty few year old 174 00:10:00,120 --> 00:10:02,079 Speaker 1: uber nerd running one of the fastest growing sites on 175 00:10:02,120 --> 00:10:03,760 Speaker 1: the web. As mature as he could be, he was 176 00:10:03,800 --> 00:10:07,120 Speaker 1: also still immature. He had some great motivational alliance with love. 177 00:10:07,160 --> 00:10:09,040 Speaker 1: He'd say, if you don't get that done sooner, I 178 00:10:09,040 --> 00:10:11,400 Speaker 1: will punch you in the face, or I will shop 179 00:10:11,440 --> 00:10:13,679 Speaker 1: you with this huge sword. While holding a huge sword 180 00:10:13,679 --> 00:10:17,680 Speaker 1: in hand, but with love. Guys. Oh, it's just like 181 00:10:18,440 --> 00:10:21,240 Speaker 1: I'm going to cut you with this sort. Men in 182 00:10:21,280 --> 00:10:25,719 Speaker 1: their twenties should have businesses, really sense, Well, the thing 183 00:10:25,760 --> 00:10:29,160 Speaker 1: is that he has stunted his growth. Like he doesn't 184 00:10:29,160 --> 00:10:30,960 Speaker 1: realize this because he's living his own life. But from 185 00:10:31,080 --> 00:10:35,559 Speaker 1: outside perspective, you cemented yourself as a twenty two year 186 00:10:35,600 --> 00:10:38,640 Speaker 1: old inept at talking to people and connecting with people, 187 00:10:38,760 --> 00:10:40,920 Speaker 1: and you've stopped your life. Well, as he learned from 188 00:10:41,000 --> 00:10:45,360 Speaker 1: his later colleague, he should just lean in. That should 189 00:10:45,520 --> 00:10:49,840 Speaker 1: just go for it. Next paragraph starts with Cheryl saying, 190 00:10:54,080 --> 00:10:55,840 Speaker 1: I do want to share one story about me. When 191 00:10:55,840 --> 00:10:57,679 Speaker 1: I was twenty three years old, just for fairness, so 192 00:10:57,720 --> 00:11:00,319 Speaker 1: I'm not judging Mark for immaturity. I vomited it down 193 00:11:00,360 --> 00:11:04,199 Speaker 1: an elevator in between the shaft and the wall because 194 00:11:04,240 --> 00:11:07,760 Speaker 1: I had to puke. I was super drunk and I knew, okay, 195 00:11:07,880 --> 00:11:09,560 Speaker 1: I have to puke somewhere. If I puke in this 196 00:11:09,600 --> 00:11:11,559 Speaker 1: elevator on other people, that's going to be bad. But 197 00:11:11,640 --> 00:11:16,199 Speaker 1: when the door opens, I can I respect that. That's innovative. 198 00:11:16,720 --> 00:11:18,960 Speaker 1: I didn't want to hurt too many other people, but 199 00:11:19,040 --> 00:11:21,800 Speaker 1: I realized now as a sober man, I really fucked 200 00:11:21,840 --> 00:11:30,440 Speaker 1: some repair. Again, not a good person here, but better 201 00:11:30,480 --> 00:11:33,240 Speaker 1: than Mark, which is a low bar. Yeah, and also 202 00:11:33,320 --> 00:11:41,360 Speaker 1: you learned which let's let's not go. Actually, I am 203 00:11:41,360 --> 00:11:44,360 Speaker 1: still a ruined ruin of a human being. Santa Monica 204 00:11:44,440 --> 00:11:50,600 Speaker 1: lightbulb bandit. But I don't I don't have a business. 205 00:11:50,640 --> 00:11:55,720 Speaker 1: Sophie manages the podcast for good reason. In two thousand eight, 206 00:11:55,800 --> 00:11:59,160 Speaker 1: Facebook hired Cheryl Sandberg, the author of Lenin and generally 207 00:11:59,320 --> 00:12:06,880 Speaker 1: as Slim is a Queen. Hashtag girl boss O my god, 208 00:12:07,280 --> 00:12:10,320 Speaker 1: the girl Boss narrative is my favorite. There's a great 209 00:12:10,360 --> 00:12:12,480 Speaker 1: podcast y'all should listen to. It's not our network, but 210 00:12:12,520 --> 00:12:14,319 Speaker 1: it's great. It's called The Dream and it's about m 211 00:12:14,440 --> 00:12:15,800 Speaker 1: l M s and it talks about an m l 212 00:12:15,960 --> 00:12:19,000 Speaker 1: M that's all based on the hashtag girl boss leaning ship. 213 00:12:19,559 --> 00:12:23,040 Speaker 1: Super super interesting. Yes, women can also destroy the world 214 00:12:24,640 --> 00:12:30,080 Speaker 1: us too. We can eat the planet tea. Yeah. So yes, here, 215 00:12:30,120 --> 00:12:37,559 Speaker 1: women are running the CIA now hashtag feminist side. Oh listen, 216 00:12:37,559 --> 00:12:40,080 Speaker 1: give us a chance to buy into this power structure. 217 00:12:40,280 --> 00:12:48,560 Speaker 1: We waterboard with Lacroix now, but we're still waterboard. We're like, 218 00:12:48,640 --> 00:12:53,120 Speaker 1: we're guys, girls were still waterboards. Yeah, let's listen. I 219 00:12:53,120 --> 00:12:55,160 Speaker 1: actually get along better with guys than I do with girls. 220 00:12:55,360 --> 00:13:01,320 Speaker 1: It's real. It's really weird too, like guys. I know, 221 00:13:01,400 --> 00:13:03,040 Speaker 1: like I'm gonna sound like one of those girls, but 222 00:13:03,120 --> 00:13:05,199 Speaker 1: I actually like think Mark is really nice and you 223 00:13:05,280 --> 00:13:08,040 Speaker 1: just like misunderstood, you know what. I like, agree with that, 224 00:13:08,080 --> 00:13:10,440 Speaker 1: and let's shun all other women that disagree with us. 225 00:13:10,760 --> 00:13:13,720 Speaker 1: They're kind of like bitchy girls. Yeah, like we shouldn't 226 00:13:13,760 --> 00:13:17,480 Speaker 1: hire them anyways. This podcast will not go into nearly 227 00:13:17,600 --> 00:13:20,679 Speaker 1: enough detail on miss Sandberg, but we will talk about 228 00:13:20,679 --> 00:13:24,960 Speaker 1: her in the in the future yea. At the time, 229 00:13:25,040 --> 00:13:27,240 Speaker 1: Sandberg's job was to be the adult in the room 230 00:13:27,280 --> 00:13:30,120 Speaker 1: at Facebook, to reinsure the investors and the world that 231 00:13:30,160 --> 00:13:33,000 Speaker 1: this browie frat robots suddenly harvesting data from millions of 232 00:13:33,000 --> 00:13:35,520 Speaker 1: people was being managed by competent, thoughtful human beings who 233 00:13:35,520 --> 00:13:38,199 Speaker 1: would act responsibly with the great power placed in their hands. 234 00:13:38,440 --> 00:13:40,920 Speaker 1: Charles Sandberg does at least a very good impression of 235 00:13:40,920 --> 00:13:43,120 Speaker 1: a human being. Super Yeah, she does a really good job. 236 00:13:43,160 --> 00:13:46,040 Speaker 1: It's the new dictator is a woman with a smile 237 00:13:46,080 --> 00:13:48,280 Speaker 1: on her face. First, you know, yeah, always a white 238 00:13:48,280 --> 00:13:50,560 Speaker 1: woman with us. Yeah, the white woman, yeah, and the 239 00:13:50,600 --> 00:13:53,520 Speaker 1: whitest the whitest woman and a big smile. The front 240 00:13:53,520 --> 00:13:56,480 Speaker 1: line interview one of the representatives that they sent. That's 241 00:13:56,520 --> 00:14:00,160 Speaker 1: basically all she did was smile and say, oh, yeah, 242 00:14:00,200 --> 00:14:05,920 Speaker 1: we know, and we know we fuck up. We're listening 243 00:14:06,120 --> 00:14:13,200 Speaker 1: corporate feminism by soap Now. In two six, Facebook introduced 244 00:14:13,240 --> 00:14:16,120 Speaker 1: the news Feed, that infinitely scrolling thingy that has replaced 245 00:14:16,160 --> 00:14:19,560 Speaker 1: the way roughly Americans get their news. The timeline was 246 00:14:19,600 --> 00:14:22,760 Speaker 1: programmed with a distinct preference for controversial content by virtue 247 00:14:22,760 --> 00:14:24,480 Speaker 1: of the fact that people were most likely to chat 248 00:14:24,520 --> 00:14:26,600 Speaker 1: about things that made them angry, You're scared. They were 249 00:14:26,600 --> 00:14:29,480 Speaker 1: also more likely to share articles that angered or scared them. 250 00:14:29,720 --> 00:14:35,960 Speaker 1: Skanked sky or did you ever skank? Like in high school? 251 00:14:35,960 --> 00:14:38,320 Speaker 1: I guess the scott You know what? Scott is my 252 00:14:38,360 --> 00:14:40,400 Speaker 1: favorite genre. But I have never been to a show 253 00:14:40,480 --> 00:14:43,880 Speaker 1: or dance. I felt like, for sure you would like 254 00:14:43,960 --> 00:14:47,000 Speaker 1: bust it was not a rude boy, but I street 255 00:14:47,040 --> 00:14:50,920 Speaker 1: Light Manifesto is maybe my favorite band. Fucking fantastic band. Yeah, 256 00:14:50,920 --> 00:14:53,680 Speaker 1: it's not too late. It's not too late, never too late, 257 00:14:53,960 --> 00:14:56,520 Speaker 1: not too never too late to skank. Thomas Kalnach If 258 00:14:56,520 --> 00:14:59,480 Speaker 1: you're listening, uh, sponsor the show. I don't think you 259 00:14:59,520 --> 00:15:04,040 Speaker 1: have any money because you're a ska musician. But you're great. Hey, 260 00:15:04,080 --> 00:15:07,160 Speaker 1: if you're listening, give us five stars on idea. We'll 261 00:15:07,200 --> 00:15:14,560 Speaker 1: give you. Give you some money you might We feel 262 00:15:14,600 --> 00:15:18,760 Speaker 1: like you could probably use that. So when the news 263 00:15:18,760 --> 00:15:21,560 Speaker 1: feed launched, Facebook also made a change to its privacy 264 00:15:21,600 --> 00:15:23,520 Speaker 1: policies in order to make the news feed work better. 265 00:15:24,320 --> 00:15:27,240 Speaker 1: Here's the New Yorker quote. Unless you wrestled with a 266 00:15:27,240 --> 00:15:30,240 Speaker 1: set of complicated settings, vastly more of your information, possibly 267 00:15:30,280 --> 00:15:32,840 Speaker 1: including your name, your gender, your photograph, your list of friends, 268 00:15:32,840 --> 00:15:36,240 Speaker 1: would be made public by default. Now. That New Yorker 269 00:15:36,360 --> 00:15:38,240 Speaker 1: article is published in two thousand and ten, after some 270 00:15:38,280 --> 00:15:41,440 Speaker 1: of those unpleasant chats between Zuckerberg and his friends about 271 00:15:41,440 --> 00:15:43,320 Speaker 1: all of his weasel behavior, you know, after all those 272 00:15:43,360 --> 00:15:45,680 Speaker 1: chats and stuff went public, like this came out. The 273 00:15:45,720 --> 00:15:48,520 Speaker 1: author of the article is a guy named Jose Antonio Vargas, 274 00:15:48,520 --> 00:15:50,360 Speaker 1: and he's a good journalist. I think, I think it's 275 00:15:50,400 --> 00:15:52,440 Speaker 1: a good article. He spent some time with Zuckerberg and 276 00:15:52,480 --> 00:15:54,640 Speaker 1: when the subject of privacy came up, this happened. And 277 00:15:54,640 --> 00:15:56,400 Speaker 1: I'm going to quote the entire bit from the article 278 00:15:56,440 --> 00:15:59,840 Speaker 1: because it's fantastic. Privacy. He told me is the third rail? 279 00:15:59,920 --> 00:16:01,880 Speaker 1: Is you online. A lot of people who are worried 280 00:16:01,880 --> 00:16:03,840 Speaker 1: and this is Zuck talking. A lot of people who 281 00:16:03,840 --> 00:16:05,800 Speaker 1: are worried about privacy and those kinds of issues will 282 00:16:05,800 --> 00:16:07,600 Speaker 1: take any minor misstep that we make and turn it 283 00:16:07,600 --> 00:16:09,520 Speaker 1: into as big a deal as possible, he said. He 284 00:16:09,560 --> 00:16:11,520 Speaker 1: then excused himself as he typed on his iPhone for 285 00:16:11,680 --> 00:16:14,160 Speaker 1: answering a text from his mother. We realized that people 286 00:16:14,160 --> 00:16:16,280 Speaker 1: will probably criticize us for this for a long time, 287 00:16:16,280 --> 00:16:18,000 Speaker 1: but we believe this is the right thing to do. 288 00:16:18,440 --> 00:16:20,440 Speaker 1: Zuckerberg and I talked about the first time I signed 289 00:16:20,480 --> 00:16:23,160 Speaker 1: up for Facebook and September two thousand six, users are 290 00:16:23,160 --> 00:16:25,640 Speaker 1: asked to check a box to indicate whether they're interested 291 00:16:25,640 --> 00:16:27,800 Speaker 1: in men or women. I told Zuckerberg that it took 292 00:16:27,800 --> 00:16:29,960 Speaker 1: me a few hours to decide which box to check. 293 00:16:30,200 --> 00:16:32,360 Speaker 1: If I said on Facebook that I'm a man interested 294 00:16:32,360 --> 00:16:36,040 Speaker 1: in men, all my Facebook friends, including relatives, coworkers, sources, 295 00:16:36,080 --> 00:16:38,800 Speaker 1: some of whom might not approve homosexuality, would see it. 296 00:16:39,200 --> 00:16:41,520 Speaker 1: So what did you end up doing, Zuckerberg asked, I 297 00:16:41,600 --> 00:16:44,200 Speaker 1: put men. That's interesting. No one has done a study 298 00:16:44,240 --> 00:16:45,600 Speaker 1: on this as far as I can tell, but I 299 00:16:45,600 --> 00:16:47,400 Speaker 1: think Facebook might be the first place where a large 300 00:16:47,440 --> 00:16:49,440 Speaker 1: number of people have come out. He said, we didn't 301 00:16:49,480 --> 00:16:52,200 Speaker 1: create that. Society was generally ready for that. He went on, 302 00:16:52,440 --> 00:16:54,120 Speaker 1: I think this is just part of the general trend 303 00:16:54,120 --> 00:16:56,280 Speaker 1: that we talked about about society being more open, and 304 00:16:56,280 --> 00:16:58,920 Speaker 1: I think that's good. Then I told Zuckerberg that two 305 00:16:58,960 --> 00:17:00,960 Speaker 1: weeks later, I removed of the check and left the 306 00:17:00,960 --> 00:17:03,520 Speaker 1: boxes blank. A couple of relatives who are Facebook friends 307 00:17:03,560 --> 00:17:05,639 Speaker 1: had asked about my sexuality, and at that time, at 308 00:17:05,680 --> 00:17:07,919 Speaker 1: least I didn't want all my professional sources to know 309 00:17:07,960 --> 00:17:11,280 Speaker 1: that I am gay. Is it still out? Zukerberg asked, Yeah, 310 00:17:11,320 --> 00:17:14,399 Speaker 1: it's still out. He responded with a flat huh, dropped 311 00:17:14,400 --> 00:17:17,040 Speaker 1: his shoulders and stared at me, looking genuinely concerned and 312 00:17:17,080 --> 00:17:19,560 Speaker 1: somewhat puzzled. Facebook had asked me to publish a personal 313 00:17:19,600 --> 00:17:23,240 Speaker 1: detail that I was not ready to share. Uh. Yeah. 314 00:17:23,400 --> 00:17:26,320 Speaker 1: I think that's a really interesting bit of inside there. 315 00:17:26,480 --> 00:17:30,040 Speaker 1: That's a crossroads for for a little zuck for z 316 00:17:30,680 --> 00:17:32,560 Speaker 1: and I think it points to how stupid I think 317 00:17:32,560 --> 00:17:36,560 Speaker 1: he is, that he can't think of other situations until 318 00:17:36,960 --> 00:17:39,679 Speaker 1: they're in his face, like until his face is shoved 319 00:17:39,680 --> 00:17:41,800 Speaker 1: into it. And also it seems like a very like 320 00:17:42,160 --> 00:17:46,159 Speaker 1: straight white guy attitude of just like, I mean, I 321 00:17:46,200 --> 00:17:48,640 Speaker 1: think we come up against this all the time. It's 322 00:17:48,680 --> 00:17:51,520 Speaker 1: just like stuff that truly didn't occur to him, like 323 00:17:51,560 --> 00:17:59,399 Speaker 1: not even at this point, I still prioritize my money 324 00:17:59,480 --> 00:18:06,400 Speaker 1: over your privacy. But that sucks, dude. Yeah, yeah, Now. 325 00:18:06,440 --> 00:18:08,720 Speaker 1: I found this particularly fascinating in light of a Daily 326 00:18:08,720 --> 00:18:10,960 Speaker 1: Beast article I read back in two thousand fifteen how 327 00:18:11,000 --> 00:18:15,080 Speaker 1: Facebook exposes domestic violence survivors. The article is as you'd expect, 328 00:18:15,119 --> 00:18:17,240 Speaker 1: about a bunch of people whose abusers were able to 329 00:18:17,240 --> 00:18:19,160 Speaker 1: get in touch with them and start harassing them again 330 00:18:19,200 --> 00:18:21,560 Speaker 1: because Facebook required those women to use their real names 331 00:18:21,600 --> 00:18:25,480 Speaker 1: to start Facebook accounts. Quote. Of the major social networking services, 332 00:18:25,520 --> 00:18:28,480 Speaker 1: Facebook alone requires users to use an authentic name listed 333 00:18:28,520 --> 00:18:31,320 Speaker 1: on an acceptable form of identification, such as a driver's license, 334 00:18:31,320 --> 00:18:34,040 Speaker 1: a passport, or a bill. Lincoln's user agreement asks for 335 00:18:34,080 --> 00:18:37,920 Speaker 1: a real name, but does not specify any required documentation. Twitter, Instagram, 336 00:18:37,920 --> 00:18:40,919 Speaker 1: and as of two fourteen, Google Plus all allows pseudonyms. 337 00:18:41,080 --> 00:18:46,560 Speaker 1: Has also been an issue for transgender people. A lot 338 00:18:46,600 --> 00:18:50,800 Speaker 1: of people get who Mark never considered and because almost 339 00:18:50,840 --> 00:18:53,760 Speaker 1: everyone working at Facebook was another white guy was not 340 00:18:54,640 --> 00:18:58,520 Speaker 1: there because it never prioritized and this will be a 341 00:18:58,520 --> 00:19:00,639 Speaker 1: problem that will crop up when we start talking about 342 00:19:00,680 --> 00:19:04,639 Speaker 1: the genocide being enabled by Facebook. But it's an issue 343 00:19:04,640 --> 00:19:06,919 Speaker 1: when you run a company this big that impacts the 344 00:19:06,920 --> 00:19:08,960 Speaker 1: lives of this many people, and you don't hire folks 345 00:19:09,000 --> 00:19:11,560 Speaker 1: specifically to be like, oh, I'm a member of this 346 00:19:11,640 --> 00:19:14,720 Speaker 1: particular community. And this might be an issue for say, 347 00:19:14,840 --> 00:19:17,639 Speaker 1: gay men, because you Mark Zuckerberg, don't realize that this 348 00:19:17,680 --> 00:19:19,560 Speaker 1: is the thing we have to deal with. Yeah, it's 349 00:19:19,560 --> 00:19:22,640 Speaker 1: an online nation and he thinks that he can be 350 00:19:22,760 --> 00:19:27,680 Speaker 1: the leader of it without caring about any of the 351 00:19:29,000 --> 00:19:31,640 Speaker 1: What don't you learn about the world as the son 352 00:19:31,680 --> 00:19:37,080 Speaker 1: of a wealthy dentist who goes to Harvard An excellent? Right, Yeah, 353 00:19:37,119 --> 00:19:42,879 Speaker 1: you're right, extremely well, yeah there, it is crazy that, 354 00:19:43,000 --> 00:19:44,960 Speaker 1: I mean, you would think the second that you have 355 00:19:45,080 --> 00:19:48,920 Speaker 1: this wide of a reach, you would prioritize getting people 356 00:19:48,920 --> 00:19:51,560 Speaker 1: at different perspectives in or it's almost like your product 357 00:19:51,640 --> 00:19:55,000 Speaker 1: will turn on you. Yeah. Well, it's the ego that 358 00:19:55,040 --> 00:19:58,919 Speaker 1: he has that he is unwilling to confront and hide 359 00:19:58,960 --> 00:20:03,760 Speaker 1: that all costs. He plays the philanthropy the like I 360 00:20:03,960 --> 00:20:07,520 Speaker 1: care about the people when my book Yeah doing my 361 00:20:07,560 --> 00:20:10,080 Speaker 1: book club, let's learn together let me listen. Let me 362 00:20:10,119 --> 00:20:12,760 Speaker 1: go across the world and listen, so you will look 363 00:20:12,800 --> 00:20:15,080 Speaker 1: me for president. The only book club I'm interested in 364 00:20:15,160 --> 00:20:20,480 Speaker 1: joining is the Dorrito's book Club. What is it this month? 365 00:20:21,640 --> 00:20:25,600 Speaker 1: It's actually tried by Sebastian Young. Are fantastic book, really 366 00:20:25,600 --> 00:20:33,479 Speaker 1: good book about PTSD. Dorito's recommends it. Togtion Um adds 367 00:20:33,760 --> 00:20:36,160 Speaker 1: it's adds time. That's what that was a lead into 368 00:20:36,680 --> 00:20:49,919 Speaker 1: products products, and we're back talking about podcast products services Facebook. 369 00:20:50,200 --> 00:20:52,520 Speaker 1: All right, let's get back into it. For the most part, 370 00:20:52,640 --> 00:20:55,520 Speaker 1: up through the early aughts, Mark Zuckerberg's brand in most 371 00:20:55,560 --> 00:20:57,959 Speaker 1: of the world remained quite strong. He was the genius 372 00:20:57,960 --> 00:21:00,320 Speaker 1: who changed the way the world communicated, and he's like 373 00:21:00,320 --> 00:21:03,160 Speaker 1: such a humble, down to earth guy. In two thousand ten, 374 00:21:03,240 --> 00:21:05,880 Speaker 1: he was even given a guest star role on The Simpsons. 375 00:21:06,119 --> 00:21:08,680 Speaker 1: He played a bit part. Lisa is trying to convince 376 00:21:09,000 --> 00:21:11,399 Speaker 1: Nelson to stay in school rather than drop out to 377 00:21:11,440 --> 00:21:13,840 Speaker 1: focus on his business. They meet Mark Zuckerberg at some 378 00:21:13,880 --> 00:21:15,440 Speaker 1: sort of expo thing and he goes on a little 379 00:21:15,520 --> 00:21:17,359 Speaker 1: rant about all of the all the great innovators in 380 00:21:17,359 --> 00:21:19,960 Speaker 1: the tech industry dropped out of school, which is true. 381 00:21:20,280 --> 00:21:23,080 Speaker 1: Now I'll say this I think this is another example 382 00:21:23,520 --> 00:21:25,320 Speaker 1: where it's really easy for a guy like Mark. If 383 00:21:25,320 --> 00:21:28,600 Speaker 1: you were a coder, what do you need to go 384 00:21:28,640 --> 00:21:32,000 Speaker 1: to college? Well, Jamie's a hacker and but yeah, it's 385 00:21:32,000 --> 00:21:34,080 Speaker 1: the same thing like as a writer, you can go 386 00:21:34,119 --> 00:21:35,880 Speaker 1: you can get a writing degree and get a journalism degree, 387 00:21:35,920 --> 00:21:37,560 Speaker 1: but you could also just start writing. And it's the 388 00:21:37,640 --> 00:21:39,520 Speaker 1: nature of the business that if you get stuff published 389 00:21:39,560 --> 00:21:42,440 Speaker 1: that starts your career. Too. It's not like that for everybody. 390 00:21:42,480 --> 00:21:44,960 Speaker 1: If you're an electrician, I got to get some trade, 391 00:21:46,040 --> 00:21:48,680 Speaker 1: A surgeon kind of got to go to school. That's 392 00:21:48,680 --> 00:21:51,600 Speaker 1: where we're in faker professions. Yeah, that's where we're in 393 00:21:51,640 --> 00:21:56,560 Speaker 1: professions where you can be a faker. And in my experience, 394 00:21:56,960 --> 00:21:58,600 Speaker 1: someone could be like, so you have a degree in 395 00:21:58,680 --> 00:22:05,920 Speaker 1: journalism and you go the sounds good journalism. No, okay, good, 396 00:22:05,920 --> 00:22:11,680 Speaker 1: then you're clearly a journalist. Yeah. So anyway, a little 397 00:22:11,720 --> 00:22:14,720 Speaker 1: rant there. Uh Now. Two thousand ten was a time 398 00:22:14,760 --> 00:22:16,720 Speaker 1: in which Suckerberg and his ideas were the toast of 399 00:22:16,720 --> 00:22:19,800 Speaker 1: Silicon Valley, and what did Mark believe? In two He 400 00:22:19,840 --> 00:22:21,719 Speaker 1: sat for an interview with tech Crunch. They pressed him 401 00:22:21,760 --> 00:22:23,639 Speaker 1: on the matter of other people trusting him with their 402 00:22:23,720 --> 00:22:27,440 Speaker 1: data quote. When I got started in my dormom at Harvard, 403 00:22:27,440 --> 00:22:29,240 Speaker 1: the question a lot of people asked was why would 404 00:22:29,240 --> 00:22:31,160 Speaker 1: I want to put any information on the internet at all? 405 00:22:31,240 --> 00:22:32,960 Speaker 1: Why would I want to have a website? And then 406 00:22:33,040 --> 00:22:35,200 Speaker 1: the last five or six years, blogging has taken off 407 00:22:35,200 --> 00:22:37,040 Speaker 1: in a huge way, and all these different services that 408 00:22:37,040 --> 00:22:39,480 Speaker 1: are people sharing all this information. People have really gotten 409 00:22:39,520 --> 00:22:42,000 Speaker 1: comfortable not only sharing more information in different kinds, but 410 00:22:42,000 --> 00:22:44,399 Speaker 1: more openly and with more people. That social norm is 411 00:22:44,440 --> 00:22:46,439 Speaker 1: just something that has evolved over time. We view it 412 00:22:46,440 --> 00:22:48,440 Speaker 1: as a role in the system to constantly be innovating 413 00:22:48,440 --> 00:22:50,639 Speaker 1: and be updating what our system is to reflect what 414 00:22:50,680 --> 00:22:54,080 Speaker 1: the current social norms are. I'm not pushing society. I'm 415 00:22:54,160 --> 00:22:57,119 Speaker 1: changing Facebook to adapt to the changing social norm for 416 00:22:57,280 --> 00:23:00,800 Speaker 1: selling your data. Well, the funny that I've now realized 417 00:23:00,840 --> 00:23:03,879 Speaker 1: that Zuckerberg says a lot like, you know, like I 418 00:23:03,960 --> 00:23:07,080 Speaker 1: want to bring the world together, But that is code 419 00:23:07,119 --> 00:23:10,680 Speaker 1: for I want the world's information. I want every single 420 00:23:10,720 --> 00:23:13,080 Speaker 1: person to be on my website so I have their information, 421 00:23:13,240 --> 00:23:15,480 Speaker 1: I have their context. I gotta steal all of the 422 00:23:15,560 --> 00:23:18,879 Speaker 1: yell of all of them. It is weird to me, 423 00:23:18,960 --> 00:23:21,399 Speaker 1: like how long and I don't know at what point 424 00:23:21,680 --> 00:23:23,680 Speaker 1: this occurred to you. It took me a long time 425 00:23:23,760 --> 00:23:26,199 Speaker 1: to figure out what the concept of data mining and 426 00:23:26,240 --> 00:23:28,800 Speaker 1: big data was and like what it meant, because when 427 00:23:28,840 --> 00:23:30,600 Speaker 1: I was in college, I was like, well, who would 428 00:23:30,640 --> 00:23:32,600 Speaker 1: want my data? I don't have any money, like all, 429 00:23:32,600 --> 00:23:34,760 Speaker 1: I have a student debt, Like who cares if they 430 00:23:34,840 --> 00:23:37,760 Speaker 1: have my data? Because I have nothing to hide and 431 00:23:37,800 --> 00:23:40,280 Speaker 1: I have nothing, so who cares? And I wrote I 432 00:23:40,320 --> 00:23:43,200 Speaker 1: was a copywriter for big data companies for six months. 433 00:23:43,280 --> 00:23:45,560 Speaker 1: I would write ten thousand words a day about big 434 00:23:45,640 --> 00:23:48,480 Speaker 1: data and still couldn't understand why. I'm like, who gives 435 00:23:48,480 --> 00:23:51,200 Speaker 1: a fun unless you have money? But now I feel 436 00:23:51,200 --> 00:23:53,880 Speaker 1: like now it's very easy. But this was like five 437 00:23:53,960 --> 00:23:56,280 Speaker 1: years ago. I had no fucking clue and it was 438 00:23:56,320 --> 00:23:58,840 Speaker 1: my job to know. So I didn't my job. It 439 00:23:58,880 --> 00:24:03,159 Speaker 1: didn't make it all you're the true journal A yeah, no, 440 00:24:03,280 --> 00:24:06,040 Speaker 1: I do say. There's a great frontline documentary. You just 441 00:24:06,080 --> 00:24:08,920 Speaker 1: look up frontline Facebook on YouTube. It's all up there 442 00:24:09,280 --> 00:24:11,240 Speaker 1: that there's a journalist on there who was like the 443 00:24:11,280 --> 00:24:13,720 Speaker 1: first person to like request a copy of his data 444 00:24:13,760 --> 00:24:16,920 Speaker 1: from Facebook and realized how much was being logged. Another 445 00:24:16,960 --> 00:24:20,000 Speaker 1: good journalist, solid play because again I was the same 446 00:24:20,040 --> 00:24:22,840 Speaker 1: way I didn't pay any attention to what's happening. I 447 00:24:22,880 --> 00:24:27,399 Speaker 1: didn't care when going on and when you're taking like 448 00:24:27,440 --> 00:24:29,399 Speaker 1: I don't know, like especially in the era that was 449 00:24:29,440 --> 00:24:32,800 Speaker 1: super asinine, where you're like you've got bumper stickers and 450 00:24:32,840 --> 00:24:35,360 Speaker 1: there's you're taking quizzes all the time. You're like, well, 451 00:24:35,359 --> 00:24:37,439 Speaker 1: what would people do with this information? And now I 452 00:24:37,480 --> 00:24:40,000 Speaker 1: can't watch band or Snatch without being like they're taking 453 00:24:40,040 --> 00:24:45,240 Speaker 1: my opinions. Next, what's good? Yeah, TV is now going 454 00:24:45,280 --> 00:24:48,040 Speaker 1: to sell me personalized abs well, and I do think 455 00:24:48,080 --> 00:24:50,719 Speaker 1: Netflix is making a big mistake with like focusing on 456 00:24:50,800 --> 00:24:54,120 Speaker 1: like this. Many people watched the fucking bird Box movies like, well, 457 00:24:55,119 --> 00:24:57,480 Speaker 1: it's successful as Black Panthers, No, because nobody had to 458 00:24:57,520 --> 00:25:04,360 Speaker 1: pay Yeah, no, one would have seen gust making money. 459 00:25:04,880 --> 00:25:08,280 Speaker 1: People saw cumulatives eighteen minutes of bird Box where they 460 00:25:08,280 --> 00:25:11,280 Speaker 1: were cooking, checking their phone and pooping. What are the 461 00:25:11,359 --> 00:25:14,960 Speaker 1: rules of this world? Why they put birds in the box, guys? 462 00:25:14,960 --> 00:25:16,560 Speaker 1: And I think that that makes it worth hard time. 463 00:25:19,560 --> 00:25:21,359 Speaker 1: I do think that that quote from the tech Crunch 464 00:25:21,400 --> 00:25:24,000 Speaker 1: interview maps out Mark's ideology pretty well. The world wants 465 00:25:24,040 --> 00:25:26,560 Speaker 1: to be more connected. His only job is delivering that 466 00:25:26,600 --> 00:25:29,639 Speaker 1: connectivity and As long as Facebook is connecting more people faster, 467 00:25:29,960 --> 00:25:32,280 Speaker 1: he does not need to worry about anything else. This 468 00:25:32,359 --> 00:25:34,639 Speaker 1: was mapped out even more eloquently by the company motto, 469 00:25:34,720 --> 00:25:37,879 Speaker 1: based on a quote by Mark himself, move fast and 470 00:25:37,960 --> 00:25:41,000 Speaker 1: break things. Unless you are breaking stuff, you aren't moving 471 00:25:41,040 --> 00:25:44,440 Speaker 1: fast enough. Now. The title of this episode, part two 472 00:25:44,560 --> 00:25:47,439 Speaker 1: is move fast, and the title of part three is 473 00:25:47,480 --> 00:25:56,760 Speaker 1: break things. Don't talk about that little genocide. Yeah, people 474 00:25:56,800 --> 00:26:02,960 Speaker 1: have ended their lives now. Now, it is important to 475 00:26:03,040 --> 00:26:06,359 Speaker 1: understand that at every level Facebook, the organization is programmed 476 00:26:06,359 --> 00:26:08,159 Speaker 1: to work this way. I'd like to quote from a 477 00:26:08,200 --> 00:26:11,880 Speaker 1: great CNBC article with the revealing title inside Facebook's cult 478 00:26:11,960 --> 00:26:14,399 Speaker 1: like workplace where the sin is discouraged and employees pretend 479 00:26:14,440 --> 00:26:19,320 Speaker 1: to be happy all the time. Solid title sounds like 480 00:26:19,680 --> 00:26:23,439 Speaker 1: one of those really long Fiona Apple. Oh yeah, you're 481 00:26:23,480 --> 00:26:26,760 Speaker 1: about to tell me a lot of stuff. I'm ready quote. 482 00:26:27,640 --> 00:26:30,400 Speaker 1: Employees feel pressure to place the company above all else 483 00:26:30,440 --> 00:26:32,720 Speaker 1: in their lives, fall in line with their manager's orders, 484 00:26:32,760 --> 00:26:35,520 Speaker 1: enforce cordiality with their colleagues so that they can advance 485 00:26:35,800 --> 00:26:38,399 Speaker 1: several former employees like in the culture to a cult. 486 00:26:38,880 --> 00:26:41,640 Speaker 1: This culture has contributed to the company's well publicized wave 487 00:26:41,680 --> 00:26:43,919 Speaker 1: of scandals over the last two years, such as government 488 00:26:43,960 --> 00:26:46,800 Speaker 1: spreading misinformation to try to influence elections and the misuse 489 00:26:46,840 --> 00:26:49,080 Speaker 1: of private user data. According to many people who work 490 00:26:49,119 --> 00:26:51,520 Speaker 1: there during this period, they say Facebook might have caught 491 00:26:51,560 --> 00:26:53,720 Speaker 1: some of these problems sooner if employees were encouraged to 492 00:26:53,720 --> 00:26:56,400 Speaker 1: deliver honest feedback. You can't deliver honest feedback if you're 493 00:26:56,400 --> 00:26:58,560 Speaker 1: moving fast and break and show well, you can't deliver 494 00:26:58,680 --> 00:27:02,960 Speaker 1: on his feedback with fucking Katana. Yeah. Well, Also, why 495 00:27:02,960 --> 00:27:05,160 Speaker 1: would you tell someone I think this product that we're 496 00:27:05,160 --> 00:27:07,280 Speaker 1: about to launch might break something If you're part of 497 00:27:07,359 --> 00:27:09,520 Speaker 1: half of your job is to break things right, you're 498 00:27:09,600 --> 00:27:13,560 Speaker 1: encouraged to and Mark Zuckerberg's Facebook employees rate each other 499 00:27:13,680 --> 00:27:16,000 Speaker 1: and then managers give them final grades to determine whether 500 00:27:16,080 --> 00:27:18,080 Speaker 1: or not they'll be promoted, fired, or give them raises. 501 00:27:20,240 --> 00:27:25,720 Speaker 1: Never learns a lesson, never, ever, ever, ever ever. I've 502 00:27:25,760 --> 00:27:28,399 Speaker 1: quoted BoJack Horseman once before in this show, but another 503 00:27:28,440 --> 00:27:31,359 Speaker 1: one of the truest fucking things that show ever pointed 504 00:27:31,359 --> 00:27:33,439 Speaker 1: out one of the characters is an agent saying that 505 00:27:33,480 --> 00:27:35,359 Speaker 1: the age in which you get rich is the age 506 00:27:35,359 --> 00:27:37,840 Speaker 1: in which your growth is forever stunted. So if you're rich, 507 00:27:37,920 --> 00:27:45,480 Speaker 1: are twenty forever? Yes, buy a shirt at T public 508 00:27:45,600 --> 00:27:48,680 Speaker 1: so I can stop aging at age thirty and by 509 00:27:48,720 --> 00:27:52,640 Speaker 1: my own blimp. That's a reasonable Yeah, good age to stop. Yeah, 510 00:27:52,760 --> 00:27:56,440 Speaker 1: still optimistic enough. You want to want to have a 511 00:27:56,520 --> 00:28:01,520 Speaker 1: light bulb fight after that lightbulb steal in spirit. I'm 512 00:28:01,520 --> 00:28:03,720 Speaker 1: not keeping the light bulbs. I just like the way 513 00:28:03,760 --> 00:28:06,200 Speaker 1: they shatter when you throw them at people. That's better, 514 00:28:06,240 --> 00:28:10,120 Speaker 1: You're right, it's way better. I'm not taking these light bulbs. 515 00:28:10,200 --> 00:28:15,719 Speaker 1: I don't want them. Cricket, cricket, cricket. I don't need 516 00:28:15,760 --> 00:28:19,280 Speaker 1: your judgment. Magbert. You do this in groups or so 517 00:28:19,400 --> 00:28:25,560 Speaker 1: low groups? Okay, Yeah, it's come along next time there's this. 518 00:28:25,560 --> 00:28:27,080 Speaker 1: This could go a lot of dir if you're doing 519 00:28:27,119 --> 00:28:33,800 Speaker 1: it alone. It's like just drunkenly throwing. No. I throw 520 00:28:33,880 --> 00:28:40,520 Speaker 1: light bulbs at people I love, oh affection, just like 521 00:28:40,560 --> 00:28:42,800 Speaker 1: at the ground next to them. So it's like it's 522 00:28:42,800 --> 00:28:45,600 Speaker 1: like a little puff. It's fun like firecrap. I didn't 523 00:28:45,640 --> 00:28:50,200 Speaker 1: do this to be judged, Okay, I feel it's gonna 524 00:28:50,240 --> 00:28:51,840 Speaker 1: be a great behind the best you can be on 525 00:28:51,960 --> 00:28:58,200 Speaker 1: ethical and still be legal my life. What if I 526 00:28:58,280 --> 00:29:02,320 Speaker 1: prefer to be ethical buddily goal. Right there we go. Yeah, 527 00:29:02,360 --> 00:29:09,959 Speaker 1: that course, treat people well, break the law. Yeah. So 528 00:29:10,560 --> 00:29:12,840 Speaker 1: employees rate each other, managers give them final grades that 529 00:29:12,840 --> 00:29:15,000 Speaker 1: determine whether or not they'll be promoted, fired, or given raises. 530 00:29:15,000 --> 00:29:17,840 Speaker 1: These grades are issued by quota, so managers are pressured 531 00:29:17,880 --> 00:29:20,560 Speaker 1: to underrate perfectly good employees just because the quota of 532 00:29:20,600 --> 00:29:23,160 Speaker 1: good employees has already been met. It sounds like a 533 00:29:23,280 --> 00:29:26,840 Speaker 1: stressful mess. The article goes into substantial detail about the 534 00:29:26,880 --> 00:29:30,600 Speaker 1: review process. This quote in particular stood out to me. Quote. 535 00:29:30,920 --> 00:29:34,200 Speaker 1: These twice yearly reviews encourage employees to be particularly productive 536 00:29:34,200 --> 00:29:36,480 Speaker 1: around June and December, working nights and weekends as they 537 00:29:36,560 --> 00:29:39,280 Speaker 1: race to impress bosses before reviews, which are typically completed 538 00:29:39,280 --> 00:29:41,920 Speaker 1: in August and February. It's especially true in December, the 539 00:29:41,920 --> 00:29:45,800 Speaker 1: half Facebook predominantly uses to determine which employees will receive promotions. 540 00:29:46,080 --> 00:29:48,760 Speaker 1: This rush causes employees to focus on short term goals 541 00:29:48,760 --> 00:29:50,800 Speaker 1: and push out features that drive user and engagement and 542 00:29:50,840 --> 00:29:53,840 Speaker 1: improve their own metrics without fully considering the potential long 543 00:29:53,960 --> 00:29:57,600 Speaker 1: term negative impacts on user experience or privacy. Multiple former 544 00:29:57,680 --> 00:30:03,400 Speaker 1: employees said, wow, fast break the world. Wow, it sounds 545 00:30:03,440 --> 00:30:05,840 Speaker 1: like a guy that's too dumb to run a company. 546 00:30:08,000 --> 00:30:10,160 Speaker 1: It sounds like twenty year old shouldn't have much responsibility. 547 00:30:10,600 --> 00:30:16,680 Speaker 1: Yeah he was. He was stunted at like a man 548 00:30:17,160 --> 00:30:19,080 Speaker 1: learned something all the time from that show about the 549 00:30:19,080 --> 00:30:22,239 Speaker 1: sad horse, about the sad horse, depressed Horse Show. That 550 00:30:22,280 --> 00:30:24,360 Speaker 1: the depressed horse show has some has some truth in 551 00:30:24,440 --> 00:30:29,680 Speaker 1: it too. Yeah, And horses are inherently sad. You never 552 00:30:29,760 --> 00:30:34,680 Speaker 1: see a horse land and like looking happy. Yes, me too. 553 00:30:35,000 --> 00:30:41,520 Speaker 1: Oh no, sad was the same horse there? Like we 554 00:30:41,640 --> 00:30:44,920 Speaker 1: killed a horse, Jimmie Loftus and I murdered a horse 555 00:30:44,960 --> 00:30:50,320 Speaker 1: and a light bulb. I'm gonna believe how it in 556 00:30:50,320 --> 00:30:54,840 Speaker 1: our defense, the horse started it. Yes, yes, very sad horse. 557 00:30:57,480 --> 00:31:00,400 Speaker 1: So Mark Zuckerberg has never wasted much time I'm worrying 558 00:31:00,400 --> 00:31:02,440 Speaker 1: about the consequences of his actions. He's more of an 559 00:31:02,440 --> 00:31:04,960 Speaker 1: asked questions later kind of guy, And as he aged 560 00:31:04,960 --> 00:31:08,280 Speaker 1: into a tech titan, Mark Zuckerberg remained pretty cavalier about 561 00:31:08,280 --> 00:31:11,080 Speaker 1: people's privacy. This would all come to a dangerous head 562 00:31:11,120 --> 00:31:13,200 Speaker 1: for the first time in two thousand seven with a 563 00:31:13,240 --> 00:31:15,920 Speaker 1: Facebook product called Beacon. I would like to quote from 564 00:31:15,920 --> 00:31:19,040 Speaker 1: a book titled appropriately enough, Move Fast and Break Things, 565 00:31:19,200 --> 00:31:22,400 Speaker 1: which is a really good book about all of these monsters, 566 00:31:22,760 --> 00:31:28,280 Speaker 1: but not just a Silicon val grows. This was essentially 567 00:31:28,320 --> 00:31:30,360 Speaker 1: an alert system that told your friends you had purchased 568 00:31:30,400 --> 00:31:32,160 Speaker 1: something on a partner site. It was built as an 569 00:31:32,200 --> 00:31:34,600 Speaker 1: opt out system, so you had to actively tell Facebook 570 00:31:34,640 --> 00:31:36,680 Speaker 1: each time you didn't want the site to broadcast your 571 00:31:36,680 --> 00:31:39,120 Speaker 1: purchase to all your friends. It was a total disaster 572 00:31:39,160 --> 00:31:41,360 Speaker 1: from the outset, but Zuckerberg was so confident that he 573 00:31:41,440 --> 00:31:43,520 Speaker 1: knew better than his users that he refused to turn 574 00:31:43,520 --> 00:31:46,680 Speaker 1: it off for many weeks while the pr disaster escalated. Eventually, 575 00:31:46,680 --> 00:31:49,440 Speaker 1: he relented and posted a mia colpa on his blog saying, 576 00:31:49,600 --> 00:31:51,640 Speaker 1: We've made a lot of mistakes building this feature, but 577 00:31:51,680 --> 00:31:54,400 Speaker 1: we've made even more with how we've handled them. Spite 578 00:31:54,440 --> 00:31:57,080 Speaker 1: Zuckerberg's regret and a payment of nine point five million 579 00:31:57,160 --> 00:31:59,760 Speaker 1: for a class action suit over Beacon, many who worked 580 00:31:59,760 --> 00:32:02,720 Speaker 1: with him feel he doesn't really understand privacy. Charlie Cheever, 581 00:32:02,840 --> 00:32:05,800 Speaker 1: one of his key programmers, told Kirkpatrick, who's some guy. 582 00:32:06,040 --> 00:32:08,080 Speaker 1: I feel that Mark doesn't believe in privacy that much, 583 00:32:08,160 --> 00:32:10,360 Speaker 1: or at least believes in privacy is a stepping stone 584 00:32:10,360 --> 00:32:14,360 Speaker 1: to radical transparency. He The way he put out that 585 00:32:14,400 --> 00:32:16,720 Speaker 1: press release is the same way he talked to the 586 00:32:16,760 --> 00:32:20,760 Speaker 1: guy that he fucked over. I am so sorry. I 587 00:32:20,800 --> 00:32:24,680 Speaker 1: did something wrong here, I did something Go away away. 588 00:32:25,760 --> 00:32:28,719 Speaker 1: It means nothing to me, never has I've always been 589 00:32:28,800 --> 00:32:31,200 Speaker 1: rich and always will be. We'll have it resolved within 590 00:32:31,280 --> 00:32:41,160 Speaker 1: the year parentheses here now. Radical transparency is a buzz 591 00:32:41,240 --> 00:32:43,760 Speaker 1: term Mark brings up whenever he needs a high minded 592 00:32:43,800 --> 00:32:47,680 Speaker 1: ideological justification for doing precisely whatever the fuck he wants. 593 00:32:47,920 --> 00:32:50,960 Speaker 1: And two don twelve whatever the funk he wants included 594 00:32:51,080 --> 00:32:53,680 Speaker 1: fucking with people's emotions, just to see if that was possible. 595 00:32:54,080 --> 00:32:56,600 Speaker 1: Here is a quote from the hilariously named pen S 596 00:32:56,600 --> 00:33:00,080 Speaker 1: Scientific Journal. And it's p n A S but what 597 00:33:00,120 --> 00:33:04,160 Speaker 1: else could I call it? Plus they're a Penis journal. 598 00:33:04,760 --> 00:33:08,680 Speaker 1: It's a very serious scientific journal, the big dignat the 599 00:33:08,720 --> 00:33:19,240 Speaker 1: big swing science. We all got slapped with sciences. And 600 00:33:20,080 --> 00:33:22,240 Speaker 1: you don't go with the swings, you're gonna get slapped. 601 00:33:24,560 --> 00:33:32,680 Speaker 1: Here's Penas nice. In an experiment with people who use Facebook, 602 00:33:32,720 --> 00:33:35,920 Speaker 1: we test whether emotional contagion occurs outside of in person 603 00:33:36,000 --> 00:33:39,160 Speaker 1: interaction between individuals by reducing the amount of emotional content 604 00:33:39,200 --> 00:33:41,960 Speaker 1: and the news feed. When positive expressions were reduced, people 605 00:33:42,000 --> 00:33:45,280 Speaker 1: produced fewer positive posts and more negative posts. When negative 606 00:33:45,280 --> 00:33:49,000 Speaker 1: expressions were reduced, the opposite pattern occurred. These results indicate 607 00:33:49,040 --> 00:33:51,560 Speaker 1: that the emotions expressed by others on Facebook influence our 608 00:33:51,600 --> 00:33:55,400 Speaker 1: own emotions, constituting experimental evidence for massive scale contagion via 609 00:33:55,480 --> 00:33:59,200 Speaker 1: social networks. A k A. We used Facebook to see 610 00:33:59,200 --> 00:34:03,400 Speaker 1: if we could make people sad, and we can. It 611 00:34:03,680 --> 00:34:06,960 Speaker 1: works now. The researchers she carried out this study had 612 00:34:06,960 --> 00:34:10,080 Speaker 1: previously studied real life social networks to you know, to 613 00:34:10,080 --> 00:34:12,000 Speaker 1: study the same sort of emotional contagion, but with like 614 00:34:12,040 --> 00:34:14,680 Speaker 1: actual groups of friends. You know, your buddy sad, she 615 00:34:14,719 --> 00:34:17,719 Speaker 1: calls you, he called you know, you get sad too. Um, 616 00:34:17,719 --> 00:34:19,359 Speaker 1: this is the way people have always worked. They then 617 00:34:19,400 --> 00:34:21,440 Speaker 1: went to Facebook to see if the social network was 618 00:34:21,480 --> 00:34:25,160 Speaker 1: down to play guinea pig with its users. Facebook totally was. 619 00:34:26,600 --> 00:34:29,840 Speaker 1: They and the researchers found quote emotional states can be 620 00:34:29,880 --> 00:34:33,200 Speaker 1: transferred to others via emotional contagient, leading people to experience 621 00:34:33,200 --> 00:34:37,200 Speaker 1: the same emotions without their awareness. In other words, they 622 00:34:37,239 --> 00:34:39,920 Speaker 1: proved that emotional states like anger or hopelessness could be 623 00:34:39,920 --> 00:34:42,719 Speaker 1: spread via Facebook. Facebook proved this by determining what kinds 624 00:34:42,719 --> 00:34:44,440 Speaker 1: of content got pushed to the timelines of each of 625 00:34:44,480 --> 00:34:47,000 Speaker 1: its users effectively manipulating their emotions just to see if 626 00:34:47,000 --> 00:34:50,560 Speaker 1: it was possible. People got angry. Facebook responded with faux regret, 627 00:34:50,560 --> 00:34:52,759 Speaker 1: and Mark Zuckerberg kept pretty quiet about this whole thing. 628 00:34:52,960 --> 00:34:55,440 Speaker 1: But if you followed the guy's history and intellectual development, 629 00:34:55,480 --> 00:34:57,799 Speaker 1: you can understand why an experiment like this would be 630 00:34:57,840 --> 00:35:02,200 Speaker 1: pretty in line with his past behavior. It's just another 631 00:35:02,440 --> 00:35:06,319 Speaker 1: like a woman versus cow situation. It's like if one 632 00:35:06,320 --> 00:35:10,360 Speaker 1: girl is deemed unhot, then other people will agree unhot, 633 00:35:10,520 --> 00:35:15,239 Speaker 1: and then we'll just reshape what is hot. Yeah, so 634 00:35:15,960 --> 00:35:20,560 Speaker 1: that's fun. What else is fun is products also services, 635 00:35:20,719 --> 00:35:23,799 Speaker 1: consumable items that you can spend money on and then 636 00:35:23,920 --> 00:35:26,680 Speaker 1: have in your home. The big swinging Dick of Capital 637 00:35:27,640 --> 00:35:34,200 Speaker 1: of the Swinging Dicks or one the hanging Labia Heavy 638 00:35:35,280 --> 00:35:40,360 Speaker 1: Wonderful women's CEOs care about people. If you want to 639 00:35:40,400 --> 00:35:44,359 Speaker 1: support the heavy swinging Labia, that support their show by 640 00:35:44,440 --> 00:35:55,000 Speaker 1: these products, we're back. Maggie Mayfish just said something through 641 00:35:55,040 --> 00:35:57,959 Speaker 1: a mouthful of derritos. I'm about to do the same, 642 00:36:00,160 --> 00:36:04,839 Speaker 1: oh Man, better than us swinging Labia. I'd rather lick 643 00:36:04,920 --> 00:36:11,400 Speaker 1: these Yes. Yes. In June, all Facebook was in the 644 00:36:11,440 --> 00:36:14,360 Speaker 1: midst of playing with their users emotions. Glenn Greenwald published 645 00:36:14,360 --> 00:36:17,000 Speaker 1: an article to the Guardian based on Edward Snowden's releases. 646 00:36:17,239 --> 00:36:19,839 Speaker 1: The article revealed that the National Security Agency had been 647 00:36:19,840 --> 00:36:23,080 Speaker 1: given access to huge amounts of data from Facebook, Google, Apple, 648 00:36:23,160 --> 00:36:25,960 Speaker 1: and several other major Internet companies. When Mark Zuckerberg was 649 00:36:25,960 --> 00:36:29,160 Speaker 1: asked about Glenn Greenwald's article, he said, frankly, the government 650 00:36:29,160 --> 00:36:31,080 Speaker 1: blew it and lamented that the state had done a 651 00:36:31,120 --> 00:36:40,640 Speaker 1: bad job of protecting privacy. Why uh, you know what, 652 00:36:40,800 --> 00:36:42,680 Speaker 1: just because it's so bold, I'll give him that one. 653 00:36:42,880 --> 00:36:49,080 Speaker 1: I'll give him that now. In March of two fifteen, 654 00:36:49,080 --> 00:36:50,759 Speaker 1: the Guardian broke what would turn out to be a 655 00:36:50,800 --> 00:36:54,359 Speaker 1: critically important story. Millions of americans personal data had been 656 00:36:54,400 --> 00:36:57,400 Speaker 1: harvested through a Facebook app without their knowledge and handed 657 00:36:57,400 --> 00:37:00,759 Speaker 1: off to a little company called Cambridge Analytica. In an 658 00:37:00,800 --> 00:37:03,600 Speaker 1: interview Mark Zuckerberg gave with Ricode in two thousand eighteen, 659 00:37:03,640 --> 00:37:05,560 Speaker 1: he swore that as soon as Facebook was alerted to 660 00:37:05,600 --> 00:37:08,640 Speaker 1: the harvesting of their user data by Cambridge Analytica's Alexander 661 00:37:08,680 --> 00:37:11,800 Speaker 1: Cogan quote, we immediately shut down the app, took away 662 00:37:11,800 --> 00:37:15,440 Speaker 1: his profile, and demanded certification that the data was deleted. However, 663 00:37:15,760 --> 00:37:18,360 Speaker 1: further reporting from The Guardian showed that Facebook didn't suspend 664 00:37:18,400 --> 00:37:21,600 Speaker 1: Cogan or Cambridge Analytica until March of two thousand eighteen, 665 00:37:21,800 --> 00:37:23,600 Speaker 1: like two or three months before the interview in which 666 00:37:23,640 --> 00:37:27,160 Speaker 1: Zuckerberg swore they'd banned his ass back in two thousand fifteen. Now, 667 00:37:27,320 --> 00:37:29,120 Speaker 1: I'd say it has been proven beyond much doubt that 668 00:37:29,120 --> 00:37:31,880 Speaker 1: Mark Zuckerberg's attitude about the value of other people's privacy 669 00:37:31,920 --> 00:37:33,800 Speaker 1: has not changed much since the days when he stole 670 00:37:33,800 --> 00:37:35,719 Speaker 1: people's pictures to build an app where kids could vote 671 00:37:35,760 --> 00:37:37,759 Speaker 1: on which of their female classmates was hotter than a cow. 672 00:37:38,480 --> 00:37:41,040 Speaker 1: Thankfully we know how Mark Zuckerberg and the other Facebook 673 00:37:41,080 --> 00:37:43,680 Speaker 1: top brass really feel about the value of their users privacy. 674 00:37:43,920 --> 00:37:46,360 Speaker 1: Last year, the British government released an enormous cash of 675 00:37:46,400 --> 00:37:49,120 Speaker 1: internal company emails to the public. The data included this 676 00:37:49,120 --> 00:37:51,520 Speaker 1: bit from two thousand twelve. I'm going to quote Recode's 677 00:37:51,520 --> 00:37:54,200 Speaker 1: fantastic coverage and Kara Swisher with Ricode has done some 678 00:37:54,280 --> 00:37:56,719 Speaker 1: of the best reporting on Mark Zuckerberg in the best 679 00:37:56,719 --> 00:37:59,520 Speaker 1: holding of his in the in the front lane when 680 00:37:59,560 --> 00:38:06,120 Speaker 1: he yes, Harris Wisher is a really good ship in 681 00:38:06,160 --> 00:38:09,640 Speaker 1: the tech industry of the tech journalists. She's like, she's 682 00:38:09,719 --> 00:38:14,640 Speaker 1: she's solid. I'm gonna quote recodes coverage and two thousand twelve, 683 00:38:14,719 --> 00:38:18,040 Speaker 1: Zuckerberg suggested that Facebook charged some outside developers for accessing 684 00:38:18,040 --> 00:38:20,400 Speaker 1: and collecting data on users through the company's ap i 685 00:38:20,440 --> 00:38:23,280 Speaker 1: S software that allows Facebook to share data with other apps. 686 00:38:23,680 --> 00:38:25,640 Speaker 1: If we make it so debs can generate revenue for 687 00:38:25,719 --> 00:38:28,000 Speaker 1: us in different ways. That makes it more acceptable for 688 00:38:28,040 --> 00:38:29,680 Speaker 1: us to charge them quite a bit more for using 689 00:38:29,680 --> 00:38:32,880 Speaker 1: the platform, Zuckerberg wrote. He suggested that developers could offset 690 00:38:32,880 --> 00:38:36,240 Speaker 1: these charges by spending money on Facebook ads. Now. Facebook 691 00:38:36,280 --> 00:38:38,080 Speaker 1: said they didn't actually go through with that, but the 692 00:38:38,080 --> 00:38:40,440 Speaker 1: fact that Mark Zuckerberg himself suggested doing the same thing 693 00:38:40,480 --> 00:38:43,319 Speaker 1: Cabage Analytico would do three years later, Suggesse probably was 694 00:38:43,360 --> 00:38:46,680 Speaker 1: not that mfended by the concept. Mark published a Facebook 695 00:38:46,680 --> 00:38:51,239 Speaker 1: post to address this and other revelations. Quote, Like any organization, 696 00:38:51,440 --> 00:38:53,359 Speaker 1: we had a lot of internal discussion and people raise 697 00:38:53,440 --> 00:38:56,360 Speaker 1: different ideas. Ultimately, we decided on a model where we 698 00:38:56,360 --> 00:38:59,000 Speaker 1: continue to provide the developer platform for free and developers 699 00:38:59,040 --> 00:39:01,160 Speaker 1: could choose to buy ads a they wanted. This model 700 00:39:01,200 --> 00:39:03,800 Speaker 1: has worked well. Other ideas we considered but decided against, 701 00:39:03,800 --> 00:39:06,400 Speaker 1: included charging developers for usage of our platform. Similar to 702 00:39:06,400 --> 00:39:09,240 Speaker 1: how developers pay to use Amazon Aws or Google Cloud. 703 00:39:09,320 --> 00:39:11,399 Speaker 1: To be clear, that's different from selling people's data. We've 704 00:39:11,400 --> 00:39:14,719 Speaker 1: never sold anyone's data, but it kind of sounds like 705 00:39:14,760 --> 00:39:18,560 Speaker 1: that's exactly what Facebook did. Here's recode quote. In some cases, 706 00:39:18,600 --> 00:39:21,840 Speaker 1: Facebook granted other businesses like Netflix and Lift special permission 707 00:39:21,840 --> 00:39:24,520 Speaker 1: to access information that other companies didn't have, So they 708 00:39:24,560 --> 00:39:27,640 Speaker 1: didn't sell data directly. But people who paid Facebook a 709 00:39:27,680 --> 00:39:30,800 Speaker 1: shipload and ad dollars got access to more user data 710 00:39:30,840 --> 00:39:33,560 Speaker 1: which they didn't pay for, but they got access to 711 00:39:33,840 --> 00:39:36,560 Speaker 1: because they were paying more money to Facebook, which is 712 00:39:36,600 --> 00:39:40,000 Speaker 1: different from paying for data. Because a lawyer can argue 713 00:39:40,000 --> 00:39:46,200 Speaker 1: that it's legally distinct from selling access to people's data, 714 00:39:46,800 --> 00:39:48,520 Speaker 1: and I'm sure it is in a court of law 715 00:39:48,600 --> 00:39:53,240 Speaker 1: until it's proven not hopefully, it's like until the laws 716 00:39:53,280 --> 00:39:55,880 Speaker 1: need to be made to make the distinction clear, to 717 00:39:55,960 --> 00:39:58,239 Speaker 1: make it a crime what they did, which I think 718 00:39:58,360 --> 00:40:02,440 Speaker 1: is it ethically at It's like a crime in the 719 00:40:02,480 --> 00:40:05,600 Speaker 1: hearts of any decent person, but anyweah, well, we know 720 00:40:05,680 --> 00:40:13,279 Speaker 1: how Zucky feels about ethics. Zucky Zuck ha ha ha. 721 00:40:14,120 --> 00:40:18,400 Speaker 1: So that article also revealed that companies that Facebook found 722 00:40:18,440 --> 00:40:20,680 Speaker 1: threatening to their bottom line had their access to use 723 00:40:20,680 --> 00:40:24,200 Speaker 1: your data restricted. Quote. When Twitter launched the video service 724 00:40:24,239 --> 00:40:26,560 Speaker 1: Fine in two thousand twelve, Facebook cut off access to 725 00:40:26,600 --> 00:40:28,440 Speaker 1: its friend graph. That meant users who signed up for 726 00:40:28,560 --> 00:40:30,600 Speaker 1: Vine with their Facebook account couldn't see and connect with 727 00:40:30,600 --> 00:40:32,919 Speaker 1: all their Facebook friends inside Vine, and ability that would 728 00:40:32,920 --> 00:40:35,759 Speaker 1: have theoretically helped Vine create a network much faster. Yeah. 729 00:40:35,920 --> 00:40:37,880 Speaker 1: I don't feel that sorry for Twitter either, but you know, 730 00:40:38,840 --> 00:40:41,280 Speaker 1: just rap god, I mean imagine, I mean, and Vine 731 00:40:41,360 --> 00:40:45,680 Speaker 1: still managed to happen in spite of it all the Paul, 732 00:40:46,520 --> 00:40:49,120 Speaker 1: you know what the Vine is, how Alex Jones finally 733 00:40:49,160 --> 00:40:53,600 Speaker 1: flamed out, And I'm I'll always be grateful for that. Yeah, 734 00:40:53,840 --> 00:40:59,360 Speaker 1: he was finding when he was on Capitol Hill people. Yeah, 735 00:40:59,719 --> 00:41:04,000 Speaker 1: that was very sad to see. It was a fun day. 736 00:41:04,040 --> 00:41:07,759 Speaker 1: That was a fun day watching the news. Now the 737 00:41:07,840 --> 00:41:10,440 Speaker 1: emails that have been revealed make it clear that Suck's 738 00:41:10,480 --> 00:41:13,120 Speaker 1: issue was never with the selling of data. He doesn't 739 00:41:13,120 --> 00:41:15,080 Speaker 1: give one funk about that. He didn't seem to care 740 00:41:15,160 --> 00:41:16,800 Speaker 1: a lot about the fact that he wasn't able to 741 00:41:16,880 --> 00:41:19,800 Speaker 1: charge people to steal his customers data. And another email 742 00:41:19,880 --> 00:41:22,640 Speaker 1: Zuckerberg sent and two's and twelve, he complained that quote 743 00:41:22,840 --> 00:41:25,480 Speaker 1: not charging still means people were overuse and abuse our 744 00:41:25,520 --> 00:41:27,040 Speaker 1: a p I s and waste money for us. I 745 00:41:27,040 --> 00:41:28,920 Speaker 1: think we should implement some kind of program where you 746 00:41:28,920 --> 00:41:31,000 Speaker 1: have to pay if he used too many of our resources. 747 00:41:31,600 --> 00:41:33,800 Speaker 1: So by two fifteen, there was a lot of shady 748 00:41:33,840 --> 00:41:35,759 Speaker 1: stuff out in the world about Mark Zuckerberg, but the 749 00:41:35,800 --> 00:41:37,440 Speaker 1: lions share of the coverage of the man and his 750 00:41:37,600 --> 00:41:41,160 Speaker 1: brain baby was still unfailingly positive. That two thou fifteen 751 00:41:41,160 --> 00:41:44,200 Speaker 1: Business Insider article that I keep gleefully quoting is only 752 00:41:44,200 --> 00:41:46,400 Speaker 1: one example of a big fat pile of similar content. 753 00:41:46,800 --> 00:41:49,120 Speaker 1: Articles about Mark during this period tended to emphasize his 754 00:41:49,200 --> 00:41:51,800 Speaker 1: casual dress and down to earth personality. Many included a 755 00:41:51,840 --> 00:41:53,960 Speaker 1: quote from Tyler Winkle Boss stating that Mark is the 756 00:41:54,000 --> 00:41:57,120 Speaker 1: poorest looking rich guy he's ever seen since Tyler Winklevoss 757 00:41:57,160 --> 00:41:59,600 Speaker 1: was literally born a millionaire. I'm not super trusting that 758 00:41:59,600 --> 00:42:08,040 Speaker 1: he's a good judge of how poor people look. Yeah, 759 00:42:08,840 --> 00:42:11,960 Speaker 1: is like, well, not to make too fine a point 760 00:42:12,000 --> 00:42:14,400 Speaker 1: on it, but Mark Zuckerberg looks like shit, and he 761 00:42:14,440 --> 00:42:16,440 Speaker 1: looks like the guy who fixed my toilet the one 762 00:42:16,480 --> 00:42:22,520 Speaker 1: time that the rich person plumber wasn't available. Here's another 763 00:42:22,600 --> 00:42:27,120 Speaker 1: quote from that fantastic Business Insider article, but despite his billions, 764 00:42:28,239 --> 00:42:34,040 Speaker 1: Zack seems incredibly down there. He holds regular town hall 765 00:42:34,120 --> 00:42:36,680 Speaker 1: style Q and A sessions where he chats with regular 766 00:42:36,760 --> 00:42:39,600 Speaker 1: people from all around the world. I want to show 767 00:42:39,640 --> 00:42:42,200 Speaker 1: you guys a shot from one that took place in May, Maggie, 768 00:42:42,280 --> 00:42:45,359 Speaker 1: I think you're the person to describe this. Do you 769 00:42:45,480 --> 00:42:52,880 Speaker 1: just want a clip of me crying. He's just a 770 00:42:52,920 --> 00:42:59,240 Speaker 1: man of the people, you know, God, he's just beating people. 771 00:42:59,680 --> 00:43:05,359 Speaker 1: He was our struggles. Someone's doing a shakuh I didn't read. 772 00:43:05,440 --> 00:43:07,799 Speaker 1: During this time. He was like posting on Facebook about 773 00:43:07,840 --> 00:43:11,360 Speaker 1: all his meetings, and there's a post where he realizes 774 00:43:11,840 --> 00:43:15,000 Speaker 1: in real time that slavery still has lasting impacts. Yeah, 775 00:43:15,360 --> 00:43:20,440 Speaker 1: and you know, yeah, yeah, it's how many of those 776 00:43:20,440 --> 00:43:25,359 Speaker 1: people do you think are wax statues play one Mark 777 00:43:25,480 --> 00:43:29,439 Speaker 1: zuckerber I will note that there are not very many 778 00:43:29,480 --> 00:43:31,880 Speaker 1: black men in the audience, but one of the few 779 00:43:32,040 --> 00:43:36,920 Speaker 1: is right next to Yeah, the ones that yeah, I 780 00:43:36,920 --> 00:43:39,440 Speaker 1: don't know how they asked that in the room, but 781 00:43:39,640 --> 00:43:42,839 Speaker 1: somehow they got him to come to the front and 782 00:43:42,880 --> 00:43:46,879 Speaker 1: surround Mark Zuckerberg. Two fifteen would be Mark Zuckerberg's last 783 00:43:46,920 --> 00:43:49,600 Speaker 1: full year is being seen as mostly a good guy 784 00:43:49,680 --> 00:43:52,680 Speaker 1: by the outside world. The two thousand sixteen election brought 785 00:43:52,840 --> 00:43:55,880 Speaker 1: questions of fake news and Russian propaganda being spread through 786 00:43:55,920 --> 00:43:58,400 Speaker 1: the social networks. I wanted to ground these episodes as 787 00:43:58,440 --> 00:44:00,520 Speaker 1: much as possible on Mark Zuckerberg the and before we 788 00:44:00,520 --> 00:44:02,840 Speaker 1: get into the terrible consequence of some of his actions, 789 00:44:03,320 --> 00:44:05,160 Speaker 1: because the fact of the matter is that Facebook is 790 00:44:05,200 --> 00:44:07,240 Speaker 1: a tool and a tool someone was going to build 791 00:44:07,280 --> 00:44:09,720 Speaker 1: at some point. There is no version of network humanity 792 00:44:09,760 --> 00:44:11,839 Speaker 1: where we don't end up with something like this at 793 00:44:11,840 --> 00:44:14,239 Speaker 1: some point. But Mark Zuckerberg is the first guy who 794 00:44:14,320 --> 00:44:17,200 Speaker 1: got it right, and as a result, his personal characteristics 795 00:44:17,200 --> 00:44:19,719 Speaker 1: have had a huge impact on how this colossus has 796 00:44:19,760 --> 00:44:23,359 Speaker 1: impacted the world. Now Tomorrow, in part three, we're going 797 00:44:23,400 --> 00:44:27,080 Speaker 1: to discuss exactly how Facebook, Mark Zuckerberg production has changed 798 00:44:27,080 --> 00:44:29,600 Speaker 1: our world. Throughout parts one and two, we've talked about 799 00:44:29,640 --> 00:44:32,000 Speaker 1: him moving fast. In part three, we're going to talk 800 00:44:32,000 --> 00:44:36,480 Speaker 1: about what he broke. So everybody ready, let's do it. 801 00:44:36,680 --> 00:44:42,720 Speaker 1: You go okay? Oh oh dear uh. Well, you can 802 00:44:42,840 --> 00:44:47,680 Speaker 1: find me on Zuckerberg platform, in Stack Graham at Jamie 803 00:44:47,719 --> 00:44:51,880 Speaker 1: christ Superstar. You can find me on on Jack's website 804 00:44:52,480 --> 00:44:55,280 Speaker 1: and Jamie Lance's Help and listen to the Bechdel Cast 805 00:44:55,440 --> 00:45:01,200 Speaker 1: on Tim's platform. Yeah. Uh, that's a lot of man's names, 806 00:45:01,960 --> 00:45:04,879 Speaker 1: a lot of the Internet. Uh. Yeah. You can also 807 00:45:04,920 --> 00:45:08,640 Speaker 1: find me on all these male dominated spaces on Twitter 808 00:45:08,800 --> 00:45:12,560 Speaker 1: and Instagram, Maggie may Fish. Yeah, you can find me 809 00:45:12,719 --> 00:45:15,480 Speaker 1: inside of any bag of Dorito's you buy because they're 810 00:45:15,480 --> 00:45:21,120 Speaker 1: in my spirit resides m haunting. You can find us 811 00:45:21,239 --> 00:45:25,800 Speaker 1: on them on Twitter at bastards pot. You can find 812 00:45:25,880 --> 00:45:28,439 Speaker 1: us on the Internet at behind the Bastards dot com. 813 00:45:29,080 --> 00:45:31,360 Speaker 1: Do that. We're on every Tuesday. We sell t shirts 814 00:45:31,360 --> 00:45:35,920 Speaker 1: on t public, we sell cups, we sell the posters, stickers, 815 00:45:36,480 --> 00:45:40,479 Speaker 1: we sell they're not technically living sentient beings, but they've 816 00:45:40,480 --> 00:45:43,520 Speaker 1: been engineered to serve you. Uh and they don't have 817 00:45:43,560 --> 00:45:46,080 Speaker 1: any legal rights yet, so it's fine. So yeah, all 818 00:45:46,080 --> 00:45:48,160 Speaker 1: of that that sounds on the up and up on 819 00:45:48,160 --> 00:45:51,400 Speaker 1: the oup and up. The episode tomorrow